diff --git "a/upernet_beit_adapter_large_640_160k_ade20k_ss.log" "b/upernet_beit_adapter_large_640_160k_ade20k_ss.log" new file mode 100644--- /dev/null +++ "b/upernet_beit_adapter_large_640_160k_ade20k_ss.log" @@ -0,0 +1,7974 @@ +2022-03-13 23:31:47,577 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /mnt/lustre/share/cuda-11.1 +NVCC: Build cuda_11.1.TC455_06.29069683_0 +GCC: gcc (GCC) 5.4.0 +PyTorch: 1.9.0+cu111 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - 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_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 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -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 -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, 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, + +TorchVision: 0.10.0+cu111 +OpenCV: 4.5.5 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMSegmentation: 0.20.2+ +------------------------------------------------------------ + +2022-03-13 23:31:47,578 - mmseg - INFO - Distributed training: True +2022-03-13 23:31:48,015 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +model = dict( + type='EncoderDecoder', + pretrained='pretrained/beit_large_patch16_224_pt22k_ft22k.pth', + backbone=dict( + type='BEiTDenseAdaptor', + patch_size=16, + embed_dim=1024, + depth=24, + num_heads=16, + mlp_ratio=4, + qkv_bias=True, + use_abs_pos_emb=False, + use_rel_pos_bias=True, + img_size=640, + init_values=1e-06, + drop_path_rate=0.3, + conv_inplane=64, + n_points=4, + deform_num_heads=16, + interact_with_ffn=True, + interact_ffn_ratio=0.25, + interact_deform_ratio=0.5, + extract_with_ffn=True, + extract_ffn_ratio=0.25, + extract_deform_ratio=0.5, + num_extract_block=2, + add_vit_feature=True, + interact_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]]), + decode_head=dict( + type='UPerHead', + in_channels=[1024, 1024, 1024, 1024], + in_index=[0, 1, 2, 3], + pool_scales=(1, 2, 3, 6), + channels=1024, + dropout_ratio=0.1, + num_classes=150, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + auxiliary_head=dict( + type='FCNHead', + in_channels=1024, + in_index=2, + channels=256, + num_convs=1, + concat_input=False, + dropout_ratio=0.1, + num_classes=150, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), + train_cfg=dict(), + test_cfg=dict(mode='slide', crop_size=(640, 640), stride=(426, 426))) +dataset_type = 'ADE20KDataset' +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 = (640, 640) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 640), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(640, 640), 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=(640, 640), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 640), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + 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='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 640), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(640, 640), 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=(640, 640), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 640), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + 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='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 640), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + 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='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=2e-05, + betas=(0.9, 0.999), + weight_decay=0.05, + constructor='LayerDecayOptimizerConstructor', + paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) +optimizer_config = dict() +lr_config = dict( + policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-06, + power=1.0, + min_lr=0.0, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000) +evaluation = dict(interval=16000, metric='mIoU', pre_eval=True) +work_dir = './work_dirs/upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4' +gpu_ids = range(0, 8) +auto_resume = False + +2022-03-13 23:31:55,996 - mmseg - INFO - Set random seed to 1612128693, deterministic: False +2022-03-13 23:32:04,161 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: fc_norm.weight, fc_norm.bias, head.weight, head.bias + +missing keys in source state_dict: blocks.0.attn.relative_position_index, blocks.1.attn.relative_position_index, blocks.2.attn.relative_position_index, blocks.3.attn.relative_position_index, blocks.4.attn.relative_position_index, blocks.5.attn.relative_position_index, blocks.6.attn.relative_position_index, blocks.7.attn.relative_position_index, blocks.8.attn.relative_position_index, blocks.9.attn.relative_position_index, blocks.10.attn.relative_position_index, blocks.11.attn.relative_position_index, blocks.12.attn.relative_position_index, blocks.13.attn.relative_position_index, blocks.14.attn.relative_position_index, blocks.15.attn.relative_position_index, blocks.16.attn.relative_position_index, blocks.17.attn.relative_position_index, blocks.18.attn.relative_position_index, blocks.19.attn.relative_position_index, blocks.20.attn.relative_position_index, blocks.21.attn.relative_position_index, blocks.22.attn.relative_position_index, blocks.23.attn.relative_position_index + +2022-03-13 23:32:06,982 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: fc_norm.weight, fc_norm.bias, head.weight, head.bias + +missing keys in source state_dict: level_embed, blocks.0.attn.relative_position_index, blocks.1.attn.relative_position_index, blocks.2.attn.relative_position_index, blocks.3.attn.relative_position_index, blocks.4.attn.relative_position_index, blocks.5.attn.relative_position_index, blocks.6.attn.relative_position_index, blocks.7.attn.relative_position_index, blocks.8.attn.relative_position_index, blocks.9.attn.relative_position_index, blocks.10.attn.relative_position_index, blocks.11.attn.relative_position_index, blocks.12.attn.relative_position_index, blocks.13.attn.relative_position_index, blocks.14.attn.relative_position_index, blocks.15.attn.relative_position_index, blocks.16.attn.relative_position_index, blocks.17.attn.relative_position_index, blocks.18.attn.relative_position_index, blocks.19.attn.relative_position_index, blocks.20.attn.relative_position_index, blocks.21.attn.relative_position_index, blocks.22.attn.relative_position_index, blocks.23.attn.relative_position_index, conv_branch.stem.0.weight, conv_branch.stem.1.weight, conv_branch.stem.1.bias, conv_branch.stem.1.running_mean, conv_branch.stem.1.running_var, conv_branch.stem.3.weight, conv_branch.stem.4.weight, conv_branch.stem.4.bias, conv_branch.stem.4.running_mean, conv_branch.stem.4.running_var, conv_branch.stem.6.weight, conv_branch.stem.7.weight, conv_branch.stem.7.bias, conv_branch.stem.7.running_mean, conv_branch.stem.7.running_var, conv_branch.conv2.0.weight, conv_branch.conv2.1.weight, conv_branch.conv2.1.bias, conv_branch.conv2.1.running_mean, conv_branch.conv2.1.running_var, conv_branch.conv3.0.weight, conv_branch.conv3.1.weight, conv_branch.conv3.1.bias, conv_branch.conv3.1.running_mean, conv_branch.conv3.1.running_var, conv_branch.conv4.0.weight, conv_branch.conv4.1.weight, conv_branch.conv4.1.bias, conv_branch.conv4.1.running_mean, conv_branch.conv4.1.running_var, conv_branch.fc1.weight, conv_branch.fc1.bias, conv_branch.fc2.weight, conv_branch.fc2.bias, conv_branch.fc3.weight, conv_branch.fc3.bias, conv_branch.fc4.weight, conv_branch.fc4.bias, interact_blocks.0.extract.query_norm.weight, interact_blocks.0.extract.query_norm.bias, interact_blocks.0.extract.feat_norm.weight, interact_blocks.0.extract.feat_norm.bias, interact_blocks.0.extract.attn.sampling_offsets.weight, interact_blocks.0.extract.attn.sampling_offsets.bias, interact_blocks.0.extract.attn.attention_weights.weight, interact_blocks.0.extract.attn.attention_weights.bias, interact_blocks.0.extract.attn.value_proj.weight, interact_blocks.0.extract.attn.value_proj.bias, interact_blocks.0.extract.attn.output_proj.weight, interact_blocks.0.extract.attn.output_proj.bias, interact_blocks.0.insert.gamma, interact_blocks.0.insert.query_norm.weight, interact_blocks.0.insert.query_norm.bias, interact_blocks.0.insert.feat_norm.weight, interact_blocks.0.insert.feat_norm.bias, interact_blocks.0.insert.attn.sampling_offsets.weight, interact_blocks.0.insert.attn.sampling_offsets.bias, interact_blocks.0.insert.attn.attention_weights.weight, interact_blocks.0.insert.attn.attention_weights.bias, interact_blocks.0.insert.attn.value_proj.weight, interact_blocks.0.insert.attn.value_proj.bias, interact_blocks.0.insert.attn.output_proj.weight, interact_blocks.0.insert.attn.output_proj.bias, interact_blocks.0.ffn.fc1.weight, interact_blocks.0.ffn.fc1.bias, interact_blocks.0.ffn.dwconv.dwconv.weight, interact_blocks.0.ffn.dwconv.dwconv.bias, interact_blocks.0.ffn.fc2.weight, interact_blocks.0.ffn.fc2.bias, interact_blocks.0.ffn_norm.weight, interact_blocks.0.ffn_norm.bias, interact_blocks.1.extract.query_norm.weight, interact_blocks.1.extract.query_norm.bias, interact_blocks.1.extract.feat_norm.weight, interact_blocks.1.extract.feat_norm.bias, interact_blocks.1.extract.attn.sampling_offsets.weight, interact_blocks.1.extract.attn.sampling_offsets.bias, interact_blocks.1.extract.attn.attention_weights.weight, interact_blocks.1.extract.attn.attention_weights.bias, interact_blocks.1.extract.attn.value_proj.weight, interact_blocks.1.extract.attn.value_proj.bias, interact_blocks.1.extract.attn.output_proj.weight, interact_blocks.1.extract.attn.output_proj.bias, interact_blocks.1.insert.gamma, interact_blocks.1.insert.query_norm.weight, interact_blocks.1.insert.query_norm.bias, interact_blocks.1.insert.feat_norm.weight, interact_blocks.1.insert.feat_norm.bias, interact_blocks.1.insert.attn.sampling_offsets.weight, interact_blocks.1.insert.attn.sampling_offsets.bias, interact_blocks.1.insert.attn.attention_weights.weight, interact_blocks.1.insert.attn.attention_weights.bias, interact_blocks.1.insert.attn.value_proj.weight, interact_blocks.1.insert.attn.value_proj.bias, interact_blocks.1.insert.attn.output_proj.weight, interact_blocks.1.insert.attn.output_proj.bias, interact_blocks.1.ffn.fc1.weight, interact_blocks.1.ffn.fc1.bias, interact_blocks.1.ffn.dwconv.dwconv.weight, interact_blocks.1.ffn.dwconv.dwconv.bias, interact_blocks.1.ffn.fc2.weight, interact_blocks.1.ffn.fc2.bias, interact_blocks.1.ffn_norm.weight, interact_blocks.1.ffn_norm.bias, interact_blocks.2.extract.query_norm.weight, interact_blocks.2.extract.query_norm.bias, interact_blocks.2.extract.feat_norm.weight, interact_blocks.2.extract.feat_norm.bias, interact_blocks.2.extract.attn.sampling_offsets.weight, interact_blocks.2.extract.attn.sampling_offsets.bias, interact_blocks.2.extract.attn.attention_weights.weight, interact_blocks.2.extract.attn.attention_weights.bias, interact_blocks.2.extract.attn.value_proj.weight, interact_blocks.2.extract.attn.value_proj.bias, interact_blocks.2.extract.attn.output_proj.weight, interact_blocks.2.extract.attn.output_proj.bias, interact_blocks.2.insert.gamma, interact_blocks.2.insert.query_norm.weight, interact_blocks.2.insert.query_norm.bias, interact_blocks.2.insert.feat_norm.weight, interact_blocks.2.insert.feat_norm.bias, interact_blocks.2.insert.attn.sampling_offsets.weight, interact_blocks.2.insert.attn.sampling_offsets.bias, interact_blocks.2.insert.attn.attention_weights.weight, interact_blocks.2.insert.attn.attention_weights.bias, interact_blocks.2.insert.attn.value_proj.weight, interact_blocks.2.insert.attn.value_proj.bias, interact_blocks.2.insert.attn.output_proj.weight, interact_blocks.2.insert.attn.output_proj.bias, interact_blocks.2.ffn.fc1.weight, interact_blocks.2.ffn.fc1.bias, interact_blocks.2.ffn.dwconv.dwconv.weight, interact_blocks.2.ffn.dwconv.dwconv.bias, interact_blocks.2.ffn.fc2.weight, interact_blocks.2.ffn.fc2.bias, interact_blocks.2.ffn_norm.weight, interact_blocks.2.ffn_norm.bias, interact_blocks.3.extract.query_norm.weight, interact_blocks.3.extract.query_norm.bias, interact_blocks.3.extract.feat_norm.weight, interact_blocks.3.extract.feat_norm.bias, interact_blocks.3.extract.attn.sampling_offsets.weight, interact_blocks.3.extract.attn.sampling_offsets.bias, interact_blocks.3.extract.attn.attention_weights.weight, interact_blocks.3.extract.attn.attention_weights.bias, interact_blocks.3.extract.attn.value_proj.weight, interact_blocks.3.extract.attn.value_proj.bias, interact_blocks.3.extract.attn.output_proj.weight, interact_blocks.3.extract.attn.output_proj.bias, interact_blocks.3.insert.gamma, interact_blocks.3.insert.query_norm.weight, interact_blocks.3.insert.query_norm.bias, interact_blocks.3.insert.feat_norm.weight, interact_blocks.3.insert.feat_norm.bias, interact_blocks.3.insert.attn.sampling_offsets.weight, interact_blocks.3.insert.attn.sampling_offsets.bias, interact_blocks.3.insert.attn.attention_weights.weight, interact_blocks.3.insert.attn.attention_weights.bias, interact_blocks.3.insert.attn.value_proj.weight, interact_blocks.3.insert.attn.value_proj.bias, interact_blocks.3.insert.attn.output_proj.weight, interact_blocks.3.insert.attn.output_proj.bias, interact_blocks.3.ffn.fc1.weight, interact_blocks.3.ffn.fc1.bias, interact_blocks.3.ffn.dwconv.dwconv.weight, interact_blocks.3.ffn.dwconv.dwconv.bias, interact_blocks.3.ffn.fc2.weight, interact_blocks.3.ffn.fc2.bias, interact_blocks.3.ffn_norm.weight, interact_blocks.3.ffn_norm.bias, extract_blocks.0.extract.query_norm.weight, extract_blocks.0.extract.query_norm.bias, extract_blocks.0.extract.feat_norm.weight, extract_blocks.0.extract.feat_norm.bias, extract_blocks.0.extract.attn.sampling_offsets.weight, extract_blocks.0.extract.attn.sampling_offsets.bias, extract_blocks.0.extract.attn.attention_weights.weight, extract_blocks.0.extract.attn.attention_weights.bias, extract_blocks.0.extract.attn.value_proj.weight, extract_blocks.0.extract.attn.value_proj.bias, extract_blocks.0.extract.attn.output_proj.weight, extract_blocks.0.extract.attn.output_proj.bias, extract_blocks.0.ffn.fc1.weight, extract_blocks.0.ffn.fc1.bias, extract_blocks.0.ffn.dwconv.dwconv.weight, extract_blocks.0.ffn.dwconv.dwconv.bias, extract_blocks.0.ffn.fc2.weight, extract_blocks.0.ffn.fc2.bias, extract_blocks.0.ffn_norm.weight, extract_blocks.0.ffn_norm.bias, extract_blocks.1.extract.query_norm.weight, extract_blocks.1.extract.query_norm.bias, extract_blocks.1.extract.feat_norm.weight, extract_blocks.1.extract.feat_norm.bias, extract_blocks.1.extract.attn.sampling_offsets.weight, extract_blocks.1.extract.attn.sampling_offsets.bias, extract_blocks.1.extract.attn.attention_weights.weight, extract_blocks.1.extract.attn.attention_weights.bias, extract_blocks.1.extract.attn.value_proj.weight, extract_blocks.1.extract.attn.value_proj.bias, extract_blocks.1.extract.attn.output_proj.weight, extract_blocks.1.extract.attn.output_proj.bias, extract_blocks.1.ffn.fc1.weight, extract_blocks.1.ffn.fc1.bias, extract_blocks.1.ffn.dwconv.dwconv.weight, extract_blocks.1.ffn.dwconv.dwconv.bias, extract_blocks.1.ffn.fc2.weight, extract_blocks.1.ffn.fc2.bias, extract_blocks.1.ffn_norm.weight, extract_blocks.1.ffn_norm.bias, up.weight, up.bias, norm1.weight, norm1.bias, norm1.running_mean, norm1.running_var, norm2.weight, norm2.bias, norm2.running_mean, norm2.running_var, norm3.weight, norm3.bias, norm3.running_mean, norm3.running_var, norm4.weight, norm4.bias, norm4.running_mean, norm4.running_var + +2022-03-13 23:32:07,092 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +2022-03-13 23:32:07,644 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +Name of parameter - Initialization information + +backbone.cls_token - torch.Size([1, 1, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.level_embed - torch.Size([3, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.12.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.13.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.14.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.15.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.16.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.17.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.18.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.19.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.20.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.21.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.22.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.gamma_1 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.gamma_2 - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.q_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.v_bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.relative_position_bias_table - torch.Size([6244, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.attn.proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.mlp.fc1.bias - torch.Size([4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.23.mlp.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.0.weight - torch.Size([64, 3, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.1.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.1.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.3.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.4.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.4.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.6.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.7.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.7.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.0.weight - torch.Size([128, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.1.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.1.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.0.weight - torch.Size([256, 128, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.0.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc1.weight - torch.Size([1024, 64, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc2.weight - torch.Size([1024, 128, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc3.weight - torch.Size([1024, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc3.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc4.weight - torch.Size([1024, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc4.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.gamma - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.sampling_offsets.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.attention_weights.weight - torch.Size([192, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.attention_weights.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.gamma - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.sampling_offsets.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.attention_weights.weight - torch.Size([192, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.attention_weights.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.gamma - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.sampling_offsets.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.attention_weights.weight - torch.Size([192, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.attention_weights.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.gamma - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.sampling_offsets.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.attention_weights.weight - torch.Size([192, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.attention_weights.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.query_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.query_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.feat_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.feat_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.attention_weights.weight - torch.Size([64, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.attention_weights.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.value_proj.weight - torch.Size([512, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.value_proj.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.output_proj.weight - torch.Size([1024, 512]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.output_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc2.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn_norm.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn_norm.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.weight - torch.Size([1024, 1024, 2, 2]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.conv_seg.weight - torch.Size([150, 1024, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +decode_head.conv_seg.bias - torch.Size([150]): +NormalInit: mean=0, std=0.01, bias=0 + +decode_head.psp_modules.0.1.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.0.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.0.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.1.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.2.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.psp_modules.3.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.bottleneck.conv.weight - torch.Size([1024, 5120, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +decode_head.bottleneck.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.bottleneck.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.0.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.conv.weight - torch.Size([1024, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.lateral_convs.2.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.conv.weight - torch.Size([1024, 1024, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.0.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.conv.weight - torch.Size([1024, 1024, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.1.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.conv.weight - torch.Size([1024, 1024, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_convs.2.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_bottleneck.conv.weight - torch.Size([1024, 4096, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +decode_head.fpn_bottleneck.bn.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +decode_head.fpn_bottleneck.bn.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.conv_seg.weight - torch.Size([150, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +auxiliary_head.conv_seg.bias - torch.Size([150]): +NormalInit: mean=0, std=0.01, bias=0 + +auxiliary_head.convs.0.conv.weight - torch.Size([256, 1024, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.convs.0.bn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +auxiliary_head.convs.0.bn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder +2022-03-13 23:32:07,652 - mmseg - INFO - EncoderDecoder( + (backbone): BEiTDenseAdaptor( + (patch_embed): PatchEmbed( + (proj): Conv2d(3, 1024, kernel_size=(16, 16), stride=(16, 16)) + ) + (pos_drop): Dropout(p=0.0, inplace=False) + (blocks): ModuleList( + (0): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): Identity() + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.013043479062616825) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.02608695812523365) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.03913043811917305) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.0521739162504673) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.06521739810705185) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (6): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.0782608762383461) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (7): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.09130435436964035) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (8): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.1043478325009346) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (9): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.11739131063222885) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (10): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.1304347962141037) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (11): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.14347827434539795) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (12): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.1565217524766922) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (13): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.16956523060798645) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (14): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.1826087087392807) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (15): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.19565218687057495) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (16): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.2086956650018692) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (17): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.22173914313316345) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (18): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.2347826212644577) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (19): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.24782609939575195) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (20): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.260869562625885) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (21): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.27391305565834045) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (22): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.2869565188884735) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (23): Block( + (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=1024, out_features=3072, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=1024, out_features=1024, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath(p=0.30000001192092896) + (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=1024, out_features=4096, bias=True) + (act): GELU() + (fc2): Linear(in_features=4096, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + (conv_branch): ConvBranch( + (stem): Sequential( + (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (5): ReLU(inplace=True) + (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (8): ReLU(inplace=True) + (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) + ) + (conv2): Sequential( + (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (conv3): Sequential( + (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (conv4): Sequential( + (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) + (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (2): ReLU(inplace=True) + ) + (fc1): Conv2d(64, 1024, kernel_size=(1, 1), stride=(1, 1)) + (fc2): Conv2d(128, 1024, kernel_size=(1, 1), stride=(1, 1)) + (fc3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) + (fc4): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) + ) + (interact_blocks): Sequential( + (0): InteractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (insert): InsertLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) + (attention_weights): Linear(in_features=1024, out_features=192, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + (1): InteractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (insert): InsertLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) + (attention_weights): Linear(in_features=1024, out_features=192, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + (2): InteractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (insert): InsertLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) + (attention_weights): Linear(in_features=1024, out_features=192, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + (3): InteractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (insert): InsertLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) + (attention_weights): Linear(in_features=1024, out_features=192, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (extract_blocks): Sequential( + (0): ExtractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + (1): ExtractBlock( + (extract): ExtractLayer( + (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) + (attention_weights): Linear(in_features=1024, out_features=64, bias=True) + (value_proj): Linear(in_features=1024, out_features=512, bias=True) + (output_proj): Linear(in_features=512, out_features=1024, bias=True) + ) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=1024, out_features=256, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) + ) + (act): GELU() + (fc2): Linear(in_features=256, out_features=1024, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + ) + (up): ConvTranspose2d(1024, 1024, kernel_size=(2, 2), stride=(2, 2)) + (norm1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm4): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + ) + (decode_head): UPerHead( + input_transform=multiple_select, ignore_index=255, align_corners=False + (loss_decode): CrossEntropyLoss() + (conv_seg): Conv2d(1024, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (psp_modules): PPM( + (0): Sequential( + (0): AdaptiveAvgPool2d(output_size=1) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (1): Sequential( + (0): AdaptiveAvgPool2d(output_size=2) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (2): Sequential( + (0): AdaptiveAvgPool2d(output_size=3) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (3): Sequential( + (0): AdaptiveAvgPool2d(output_size=6) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + ) + (bottleneck): ConvModule( + (conv): Conv2d(5120, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (lateral_convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (2): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + ) + (fpn_convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (1): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + (2): ConvModule( + (conv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU() + ) + ) + (fpn_bottleneck): ConvModule( + (conv): Conv2d(4096, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} + (auxiliary_head): FCNHead( + input_transform=None, ignore_index=255, align_corners=False + (loss_decode): CrossEntropyLoss() + (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): Sequential( + (0): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + ) + init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +) +2022-03-13 23:32:08,002 - mmseg - INFO - Loaded 20210 images +2022-03-13 23:32:09,119 - mmseg - INFO - Loaded 2000 images +2022-03-13 23:32:09,120 - mmseg - INFO - Start running, host: chenzhe.vendor@SH-IDC1-10-140-1-140, work_dir: /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4 +2022-03-13 23:32:09,121 - mmseg - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) PolyLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) PolyLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) PolyLrUpdaterHook +(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 + -------------------- +2022-03-13 23:32:09,121 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2022-03-13 23:32:09,121 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4 by HardDiskBackend. +2022-03-13 23:34:10,500 - mmseg - INFO - Iter [50/160000] lr: 4.689e-08, eta: 3 days, 16:32:08, time: 1.993, data_time: 0.008, memory: 73034, decode.loss_ce: 4.0890, decode.acc_seg: 0.6001, aux.loss_ce: 1.6441, aux.acc_seg: 0.4528, loss: 5.7331 +2022-03-13 23:34:54,388 - mmseg - INFO - Iter [100/160000] lr: 9.471e-08, eta: 2 days, 15:44:44, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 3.9690, decode.acc_seg: 1.9069, aux.loss_ce: 1.6147, aux.acc_seg: 0.7036, loss: 5.5837 +2022-03-13 23:35:38,133 - mmseg - INFO - Iter [150/160000] lr: 1.425e-07, eta: 2 days, 7:26:06, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 3.8722, decode.acc_seg: 6.8123, aux.loss_ce: 1.6082, aux.acc_seg: 1.4517, loss: 5.4804 +2022-03-13 23:36:21,859 - mmseg - INFO - Iter [200/160000] lr: 1.902e-07, eta: 2 days, 3:16:01, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 3.7612, decode.acc_seg: 14.8068, aux.loss_ce: 1.6093, aux.acc_seg: 2.5011, loss: 5.3704 +2022-03-13 23:37:05,826 - mmseg - INFO - Iter [250/160000] lr: 2.380e-07, eta: 2 days, 0:48:15, time: 0.879, data_time: 0.005, memory: 73034, decode.loss_ce: 3.6562, decode.acc_seg: 21.4495, aux.loss_ce: 1.6224, aux.acc_seg: 3.5634, loss: 5.2787 +2022-03-13 23:37:49,411 - mmseg - INFO - Iter [300/160000] lr: 2.857e-07, eta: 1 day, 23:06:10, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 3.4028, decode.acc_seg: 23.8618, aux.loss_ce: 1.5777, aux.acc_seg: 4.9163, loss: 4.9805 +2022-03-13 23:38:33,170 - mmseg - INFO - Iter [350/160000] lr: 3.333e-07, eta: 1 day, 21:53:56, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 3.2237, decode.acc_seg: 26.4956, aux.loss_ce: 1.5800, aux.acc_seg: 7.4124, loss: 4.8037 +2022-03-13 23:39:16,889 - mmseg - INFO - Iter [400/160000] lr: 3.810e-07, eta: 1 day, 21:00:01, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 3.0881, decode.acc_seg: 27.0776, aux.loss_ce: 1.5848, aux.acc_seg: 10.9294, loss: 4.6729 +2022-03-13 23:40:00,448 - mmseg - INFO - Iter [450/160000] lr: 4.286e-07, eta: 1 day, 20:16:39, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 2.9029, decode.acc_seg: 28.0250, aux.loss_ce: 1.5525, aux.acc_seg: 15.8040, loss: 4.4555 +2022-03-13 23:40:44,013 - mmseg - INFO - Iter [500/160000] lr: 4.762e-07, eta: 1 day, 19:41:33, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 2.7385, decode.acc_seg: 29.4974, aux.loss_ce: 1.5242, aux.acc_seg: 18.5576, loss: 4.2627 +2022-03-13 23:41:27,936 - mmseg - INFO - Iter [550/160000] lr: 5.237e-07, eta: 1 day, 19:14:42, time: 0.878, data_time: 0.007, memory: 73034, decode.loss_ce: 2.5892, decode.acc_seg: 32.0680, aux.loss_ce: 1.5058, aux.acc_seg: 23.0842, loss: 4.0950 +2022-03-13 23:42:11,554 - mmseg - INFO - Iter [600/160000] lr: 5.712e-07, eta: 1 day, 18:51:07, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 2.4604, decode.acc_seg: 32.3464, aux.loss_ce: 1.4708, aux.acc_seg: 25.4459, loss: 3.9313 +2022-03-13 23:42:55,216 - mmseg - INFO - Iter [650/160000] lr: 6.187e-07, eta: 1 day, 18:30:58, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 2.4020, decode.acc_seg: 32.4137, aux.loss_ce: 1.4513, aux.acc_seg: 25.7482, loss: 3.8533 +2022-03-13 23:43:38,822 - mmseg - INFO - Iter [700/160000] lr: 6.662e-07, eta: 1 day, 18:13:24, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 2.3601, decode.acc_seg: 34.6192, aux.loss_ce: 1.4584, aux.acc_seg: 27.9023, loss: 3.8185 +2022-03-13 23:44:22,362 - mmseg - INFO - Iter [750/160000] lr: 7.136e-07, eta: 1 day, 17:57:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 2.2121, decode.acc_seg: 36.0723, aux.loss_ce: 1.4074, aux.acc_seg: 28.4978, loss: 3.6195 +2022-03-13 23:45:05,945 - mmseg - INFO - Iter [800/160000] lr: 7.610e-07, eta: 1 day, 17:44:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 2.2018, decode.acc_seg: 35.1862, aux.loss_ce: 1.3817, aux.acc_seg: 28.0346, loss: 3.5835 +2022-03-13 23:45:49,467 - mmseg - INFO - Iter [850/160000] lr: 8.083e-07, eta: 1 day, 17:32:03, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 2.1471, decode.acc_seg: 36.8371, aux.loss_ce: 1.3542, aux.acc_seg: 29.0800, loss: 3.5013 +2022-03-13 23:46:33,016 - mmseg - INFO - Iter [900/160000] lr: 8.557e-07, eta: 1 day, 17:21:11, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 2.0811, decode.acc_seg: 38.4476, aux.loss_ce: 1.3343, aux.acc_seg: 30.6340, loss: 3.4154 +2022-03-13 23:47:16,736 - mmseg - INFO - Iter [950/160000] lr: 9.030e-07, eta: 1 day, 17:11:50, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 1.9655, decode.acc_seg: 37.8431, aux.loss_ce: 1.2712, aux.acc_seg: 29.9259, loss: 3.2367 +2022-03-13 23:48:00,841 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-13 23:48:00,843 - mmseg - INFO - Iter [1000/160000] lr: 9.503e-07, eta: 1 day, 17:04:24, time: 0.882, data_time: 0.005, memory: 73034, decode.loss_ce: 1.9608, decode.acc_seg: 38.5046, aux.loss_ce: 1.2674, aux.acc_seg: 30.3245, loss: 3.2282 +2022-03-13 23:48:44,324 - mmseg - INFO - Iter [1050/160000] lr: 9.975e-07, eta: 1 day, 16:56:00, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 1.9103, decode.acc_seg: 38.6634, aux.loss_ce: 1.2212, aux.acc_seg: 31.2712, loss: 3.1315 +2022-03-13 23:49:28,152 - mmseg - INFO - Iter [1100/160000] lr: 1.045e-06, eta: 1 day, 16:49:08, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 1.8153, decode.acc_seg: 41.4843, aux.loss_ce: 1.1838, aux.acc_seg: 33.3597, loss: 2.9991 +2022-03-13 23:50:11,823 - mmseg - INFO - Iter [1150/160000] lr: 1.092e-06, eta: 1 day, 16:42:19, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 1.7754, decode.acc_seg: 40.9262, aux.loss_ce: 1.1627, aux.acc_seg: 32.6526, loss: 2.9381 +2022-03-13 23:50:55,878 - mmseg - INFO - Iter [1200/160000] lr: 1.139e-06, eta: 1 day, 16:37:07, time: 0.882, data_time: 0.009, memory: 73034, decode.loss_ce: 1.7189, decode.acc_seg: 41.4846, aux.loss_ce: 1.1243, aux.acc_seg: 32.9271, loss: 2.8433 +2022-03-13 23:51:39,503 - mmseg - INFO - Iter [1250/160000] lr: 1.186e-06, eta: 1 day, 16:31:14, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 1.6626, decode.acc_seg: 43.3544, aux.loss_ce: 1.0949, aux.acc_seg: 34.3231, loss: 2.7575 +2022-03-13 23:52:25,729 - mmseg - INFO - Iter [1300/160000] lr: 1.233e-06, eta: 1 day, 16:31:01, time: 0.924, data_time: 0.050, memory: 73034, decode.loss_ce: 1.6219, decode.acc_seg: 44.6316, aux.loss_ce: 1.0724, aux.acc_seg: 34.7372, loss: 2.6943 +2022-03-13 23:53:09,292 - mmseg - INFO - Iter [1350/160000] lr: 1.280e-06, eta: 1 day, 16:25:35, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 1.6189, decode.acc_seg: 44.3218, aux.loss_ce: 1.0588, aux.acc_seg: 35.5535, loss: 2.6777 +2022-03-13 23:53:52,808 - mmseg - INFO - Iter [1400/160000] lr: 1.327e-06, eta: 1 day, 16:20:23, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 1.5880, decode.acc_seg: 45.8577, aux.loss_ce: 1.0361, aux.acc_seg: 36.5494, loss: 2.6241 +2022-03-13 23:54:36,292 - mmseg - INFO - Iter [1450/160000] lr: 1.374e-06, eta: 1 day, 16:15:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 1.4226, decode.acc_seg: 48.0505, aux.loss_ce: 0.9767, aux.acc_seg: 38.2771, loss: 2.3994 +2022-03-13 23:55:19,970 - mmseg - INFO - Iter [1500/160000] lr: 1.421e-06, eta: 1 day, 16:11:06, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 1.4608, decode.acc_seg: 47.1601, aux.loss_ce: 0.9609, aux.acc_seg: 38.3553, loss: 2.4216 +2022-03-13 23:56:03,456 - mmseg - INFO - Iter [1550/160000] lr: 1.422e-06, eta: 1 day, 16:06:40, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 1.3384, decode.acc_seg: 49.4360, aux.loss_ce: 0.9209, aux.acc_seg: 40.0797, loss: 2.2593 +2022-03-13 23:56:47,045 - mmseg - INFO - Iter [1600/160000] lr: 1.421e-06, eta: 1 day, 16:02:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 1.3550, decode.acc_seg: 50.9131, aux.loss_ce: 0.9192, aux.acc_seg: 41.4769, loss: 2.2742 +2022-03-13 23:57:30,524 - mmseg - INFO - Iter [1650/160000] lr: 1.421e-06, eta: 1 day, 15:58:39, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 1.3722, decode.acc_seg: 49.3472, aux.loss_ce: 0.9000, aux.acc_seg: 41.0983, loss: 2.2722 +2022-03-13 23:58:14,106 - mmseg - INFO - Iter [1700/160000] lr: 1.421e-06, eta: 1 day, 15:55:00, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 1.3222, decode.acc_seg: 49.8986, aux.loss_ce: 0.8829, aux.acc_seg: 40.5488, loss: 2.2051 +2022-03-13 23:58:57,770 - mmseg - INFO - Iter [1750/160000] lr: 1.420e-06, eta: 1 day, 15:51:39, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 1.2651, decode.acc_seg: 50.6318, aux.loss_ce: 0.8518, aux.acc_seg: 41.8186, loss: 2.1169 +2022-03-13 23:59:41,362 - mmseg - INFO - Iter [1800/160000] lr: 1.420e-06, eta: 1 day, 15:48:20, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 1.1987, decode.acc_seg: 52.9366, aux.loss_ce: 0.8243, aux.acc_seg: 44.0642, loss: 2.0230 +2022-03-14 00:00:25,064 - mmseg - INFO - Iter [1850/160000] lr: 1.419e-06, eta: 1 day, 15:45:19, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 1.1670, decode.acc_seg: 53.7873, aux.loss_ce: 0.8213, aux.acc_seg: 43.9579, loss: 1.9883 +2022-03-14 00:01:09,010 - mmseg - INFO - Iter [1900/160000] lr: 1.419e-06, eta: 1 day, 15:42:40, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 1.1793, decode.acc_seg: 52.3893, aux.loss_ce: 0.7960, aux.acc_seg: 43.5455, loss: 1.9753 +2022-03-14 00:01:52,755 - mmseg - INFO - Iter [1950/160000] lr: 1.418e-06, eta: 1 day, 15:40:01, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 1.1439, decode.acc_seg: 52.5250, aux.loss_ce: 0.7848, aux.acc_seg: 43.0058, loss: 1.9287 +2022-03-14 00:02:36,530 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 00:02:36,537 - mmseg - INFO - Iter [2000/160000] lr: 1.418e-06, eta: 1 day, 15:37:24, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 1.1778, decode.acc_seg: 52.9066, aux.loss_ce: 0.7857, aux.acc_seg: 44.2072, loss: 1.9634 +2022-03-14 00:03:20,420 - mmseg - INFO - Iter [2050/160000] lr: 1.417e-06, eta: 1 day, 15:35:03, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 1.0720, decode.acc_seg: 54.6969, aux.loss_ce: 0.7381, aux.acc_seg: 44.7160, loss: 1.8101 +2022-03-14 00:04:04,050 - mmseg - INFO - Iter [2100/160000] lr: 1.417e-06, eta: 1 day, 15:32:27, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 1.1130, decode.acc_seg: 54.5066, aux.loss_ce: 0.7692, aux.acc_seg: 45.4152, loss: 1.8822 +2022-03-14 00:04:47,630 - mmseg - INFO - Iter [2150/160000] lr: 1.417e-06, eta: 1 day, 15:29:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 1.0407, decode.acc_seg: 55.2666, aux.loss_ce: 0.7218, aux.acc_seg: 45.8855, loss: 1.7625 +2022-03-14 00:05:31,101 - mmseg - INFO - Iter [2200/160000] lr: 1.416e-06, eta: 1 day, 15:27:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 1.0544, decode.acc_seg: 56.2643, aux.loss_ce: 0.7327, aux.acc_seg: 46.5672, loss: 1.7871 +2022-03-14 00:06:14,933 - mmseg - INFO - Iter [2250/160000] lr: 1.416e-06, eta: 1 day, 15:25:07, time: 0.877, data_time: 0.006, memory: 73034, decode.loss_ce: 1.0283, decode.acc_seg: 56.3680, aux.loss_ce: 0.7042, aux.acc_seg: 47.4701, loss: 1.7326 +2022-03-14 00:06:58,516 - mmseg - INFO - Iter [2300/160000] lr: 1.415e-06, eta: 1 day, 15:22:46, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 1.0100, decode.acc_seg: 55.5010, aux.loss_ce: 0.6913, aux.acc_seg: 46.9176, loss: 1.7013 +2022-03-14 00:07:42,062 - mmseg - INFO - Iter [2350/160000] lr: 1.415e-06, eta: 1 day, 15:20:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.9250, decode.acc_seg: 58.3733, aux.loss_ce: 0.6680, aux.acc_seg: 48.5319, loss: 1.5930 +2022-03-14 00:08:25,750 - mmseg - INFO - Iter [2400/160000] lr: 1.414e-06, eta: 1 day, 15:18:21, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.9742, decode.acc_seg: 56.9732, aux.loss_ce: 0.6847, aux.acc_seg: 47.3470, loss: 1.6589 +2022-03-14 00:09:09,286 - mmseg - INFO - Iter [2450/160000] lr: 1.414e-06, eta: 1 day, 15:16:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.9008, decode.acc_seg: 57.6017, aux.loss_ce: 0.6436, aux.acc_seg: 48.2391, loss: 1.5445 +2022-03-14 00:09:52,836 - mmseg - INFO - Iter [2500/160000] lr: 1.413e-06, eta: 1 day, 15:14:01, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.9143, decode.acc_seg: 56.6573, aux.loss_ce: 0.6462, aux.acc_seg: 46.5914, loss: 1.5605 +2022-03-14 00:10:39,251 - mmseg - INFO - Iter [2550/160000] lr: 1.413e-06, eta: 1 day, 15:14:54, time: 0.928, data_time: 0.053, memory: 73034, decode.loss_ce: 0.8773, decode.acc_seg: 57.9813, aux.loss_ce: 0.6341, aux.acc_seg: 48.0545, loss: 1.5114 +2022-03-14 00:11:22,840 - mmseg - INFO - Iter [2600/160000] lr: 1.412e-06, eta: 1 day, 15:12:51, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.9226, decode.acc_seg: 57.8096, aux.loss_ce: 0.6486, aux.acc_seg: 47.6751, loss: 1.5712 +2022-03-14 00:12:06,525 - mmseg - INFO - Iter [2650/160000] lr: 1.412e-06, eta: 1 day, 15:10:57, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8296, decode.acc_seg: 58.9866, aux.loss_ce: 0.6011, aux.acc_seg: 50.1268, loss: 1.4306 +2022-03-14 00:12:50,380 - mmseg - INFO - Iter [2700/160000] lr: 1.412e-06, eta: 1 day, 15:09:16, time: 0.877, data_time: 0.006, memory: 73034, decode.loss_ce: 0.8378, decode.acc_seg: 59.4581, aux.loss_ce: 0.6133, aux.acc_seg: 49.8798, loss: 1.4511 +2022-03-14 00:13:34,060 - mmseg - INFO - Iter [2750/160000] lr: 1.411e-06, eta: 1 day, 15:07:27, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8323, decode.acc_seg: 59.6762, aux.loss_ce: 0.5964, aux.acc_seg: 50.1215, loss: 1.4288 +2022-03-14 00:14:17,617 - mmseg - INFO - Iter [2800/160000] lr: 1.411e-06, eta: 1 day, 15:05:33, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8705, decode.acc_seg: 58.5190, aux.loss_ce: 0.6156, aux.acc_seg: 48.9501, loss: 1.4861 +2022-03-14 00:15:01,178 - mmseg - INFO - Iter [2850/160000] lr: 1.410e-06, eta: 1 day, 15:03:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8254, decode.acc_seg: 59.2220, aux.loss_ce: 0.6006, aux.acc_seg: 49.5063, loss: 1.4260 +2022-03-14 00:15:44,788 - mmseg - INFO - Iter [2900/160000] lr: 1.410e-06, eta: 1 day, 15:01:56, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8314, decode.acc_seg: 58.2273, aux.loss_ce: 0.5902, aux.acc_seg: 48.8176, loss: 1.4216 +2022-03-14 00:16:28,755 - mmseg - INFO - Iter [2950/160000] lr: 1.409e-06, eta: 1 day, 15:00:29, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8040, decode.acc_seg: 60.0087, aux.loss_ce: 0.5795, aux.acc_seg: 51.2440, loss: 1.3835 +2022-03-14 00:17:12,362 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 00:17:12,365 - mmseg - INFO - Iter [3000/160000] lr: 1.409e-06, eta: 1 day, 14:58:49, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.7945, decode.acc_seg: 60.1929, aux.loss_ce: 0.5652, aux.acc_seg: 52.3787, loss: 1.3596 +2022-03-14 00:17:55,875 - mmseg - INFO - Iter [3050/160000] lr: 1.408e-06, eta: 1 day, 14:57:04, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7717, decode.acc_seg: 60.0853, aux.loss_ce: 0.5748, aux.acc_seg: 50.7650, loss: 1.3465 +2022-03-14 00:18:39,450 - mmseg - INFO - Iter [3100/160000] lr: 1.408e-06, eta: 1 day, 14:55:23, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.8035, decode.acc_seg: 61.4754, aux.loss_ce: 0.5737, aux.acc_seg: 53.6995, loss: 1.3772 +2022-03-14 00:19:23,074 - mmseg - INFO - Iter [3150/160000] lr: 1.408e-06, eta: 1 day, 14:53:48, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7493, decode.acc_seg: 59.7502, aux.loss_ce: 0.5297, aux.acc_seg: 52.8277, loss: 1.2789 +2022-03-14 00:20:06,672 - mmseg - INFO - Iter [3200/160000] lr: 1.407e-06, eta: 1 day, 14:52:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7476, decode.acc_seg: 61.4506, aux.loss_ce: 0.5487, aux.acc_seg: 52.6331, loss: 1.2963 +2022-03-14 00:20:50,411 - mmseg - INFO - Iter [3250/160000] lr: 1.407e-06, eta: 1 day, 14:50:44, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7197, decode.acc_seg: 61.6122, aux.loss_ce: 0.5193, aux.acc_seg: 53.4581, loss: 1.2390 +2022-03-14 00:21:34,346 - mmseg - INFO - Iter [3300/160000] lr: 1.406e-06, eta: 1 day, 14:49:28, time: 0.879, data_time: 0.006, memory: 73034, decode.loss_ce: 0.7587, decode.acc_seg: 61.9313, aux.loss_ce: 0.5475, aux.acc_seg: 53.7147, loss: 1.3062 +2022-03-14 00:22:18,032 - mmseg - INFO - Iter [3350/160000] lr: 1.406e-06, eta: 1 day, 14:48:01, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7347, decode.acc_seg: 61.7871, aux.loss_ce: 0.5469, aux.acc_seg: 51.7353, loss: 1.2816 +2022-03-14 00:23:01,819 - mmseg - INFO - Iter [3400/160000] lr: 1.405e-06, eta: 1 day, 14:46:39, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7226, decode.acc_seg: 62.2680, aux.loss_ce: 0.5241, aux.acc_seg: 54.0562, loss: 1.2467 +2022-03-14 00:23:45,458 - mmseg - INFO - Iter [3450/160000] lr: 1.405e-06, eta: 1 day, 14:45:13, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7693, decode.acc_seg: 61.7828, aux.loss_ce: 0.5398, aux.acc_seg: 54.5012, loss: 1.3090 +2022-03-14 00:24:29,116 - mmseg - INFO - Iter [3500/160000] lr: 1.404e-06, eta: 1 day, 14:43:45, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7474, decode.acc_seg: 60.0993, aux.loss_ce: 0.5221, aux.acc_seg: 52.4331, loss: 1.2695 +2022-03-14 00:25:12,840 - mmseg - INFO - Iter [3550/160000] lr: 1.404e-06, eta: 1 day, 14:42:27, time: 0.876, data_time: 0.006, memory: 73034, decode.loss_ce: 0.7109, decode.acc_seg: 60.7284, aux.loss_ce: 0.5073, aux.acc_seg: 52.9507, loss: 1.2183 +2022-03-14 00:25:56,473 - mmseg - INFO - Iter [3600/160000] lr: 1.403e-06, eta: 1 day, 14:41:03, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7190, decode.acc_seg: 61.0788, aux.loss_ce: 0.5170, aux.acc_seg: 53.2316, loss: 1.2360 +2022-03-14 00:26:40,090 - mmseg - INFO - Iter [3650/160000] lr: 1.403e-06, eta: 1 day, 14:39:40, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7118, decode.acc_seg: 61.4799, aux.loss_ce: 0.5094, aux.acc_seg: 53.1884, loss: 1.2212 +2022-03-14 00:27:23,740 - mmseg - INFO - Iter [3700/160000] lr: 1.403e-06, eta: 1 day, 14:38:19, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.7168, decode.acc_seg: 63.3975, aux.loss_ce: 0.5188, aux.acc_seg: 55.2452, loss: 1.2356 +2022-03-14 00:28:07,643 - mmseg - INFO - Iter [3750/160000] lr: 1.402e-06, eta: 1 day, 14:37:10, time: 0.878, data_time: 0.006, memory: 73034, decode.loss_ce: 0.6719, decode.acc_seg: 63.3377, aux.loss_ce: 0.4929, aux.acc_seg: 55.6105, loss: 1.1648 +2022-03-14 00:28:53,748 - mmseg - INFO - Iter [3800/160000] lr: 1.402e-06, eta: 1 day, 14:37:32, time: 0.922, data_time: 0.052, memory: 73034, decode.loss_ce: 0.6662, decode.acc_seg: 61.0586, aux.loss_ce: 0.4820, aux.acc_seg: 53.3431, loss: 1.1481 +2022-03-14 00:29:37,335 - mmseg - INFO - Iter [3850/160000] lr: 1.401e-06, eta: 1 day, 14:36:10, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6531, decode.acc_seg: 62.3610, aux.loss_ce: 0.4834, aux.acc_seg: 54.5707, loss: 1.1365 +2022-03-14 00:30:20,917 - mmseg - INFO - Iter [3900/160000] lr: 1.401e-06, eta: 1 day, 14:34:49, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6666, decode.acc_seg: 62.8825, aux.loss_ce: 0.4844, aux.acc_seg: 54.9864, loss: 1.1510 +2022-03-14 00:31:04,464 - mmseg - INFO - Iter [3950/160000] lr: 1.400e-06, eta: 1 day, 14:33:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6389, decode.acc_seg: 63.3739, aux.loss_ce: 0.4658, aux.acc_seg: 55.9340, loss: 1.1047 +2022-03-14 00:31:47,964 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 00:31:47,968 - mmseg - INFO - Iter [4000/160000] lr: 1.400e-06, eta: 1 day, 14:32:04, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6471, decode.acc_seg: 65.0955, aux.loss_ce: 0.4708, aux.acc_seg: 58.0303, loss: 1.1179 +2022-03-14 00:32:31,761 - mmseg - INFO - Iter [4050/160000] lr: 1.399e-06, eta: 1 day, 14:30:52, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6449, decode.acc_seg: 63.1166, aux.loss_ce: 0.4830, aux.acc_seg: 54.6280, loss: 1.1280 +2022-03-14 00:33:15,353 - mmseg - INFO - Iter [4100/160000] lr: 1.399e-06, eta: 1 day, 14:29:37, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.6377, decode.acc_seg: 64.1749, aux.loss_ce: 0.4657, aux.acc_seg: 56.2305, loss: 1.1034 +2022-03-14 00:33:59,092 - mmseg - INFO - Iter [4150/160000] lr: 1.399e-06, eta: 1 day, 14:28:25, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6050, decode.acc_seg: 62.6383, aux.loss_ce: 0.4513, aux.acc_seg: 55.4426, loss: 1.0562 +2022-03-14 00:34:42,818 - mmseg - INFO - Iter [4200/160000] lr: 1.398e-06, eta: 1 day, 14:27:15, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6401, decode.acc_seg: 63.5049, aux.loss_ce: 0.4521, aux.acc_seg: 56.5725, loss: 1.0922 +2022-03-14 00:35:26,485 - mmseg - INFO - Iter [4250/160000] lr: 1.398e-06, eta: 1 day, 14:26:03, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6710, decode.acc_seg: 63.7010, aux.loss_ce: 0.4785, aux.acc_seg: 55.7680, loss: 1.1495 +2022-03-14 00:36:09,887 - mmseg - INFO - Iter [4300/160000] lr: 1.397e-06, eta: 1 day, 14:24:42, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6261, decode.acc_seg: 64.0759, aux.loss_ce: 0.4600, aux.acc_seg: 56.2171, loss: 1.0861 +2022-03-14 00:36:53,418 - mmseg - INFO - Iter [4350/160000] lr: 1.397e-06, eta: 1 day, 14:23:26, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6192, decode.acc_seg: 64.6746, aux.loss_ce: 0.4614, aux.acc_seg: 56.7339, loss: 1.0807 +2022-03-14 00:37:37,339 - mmseg - INFO - Iter [4400/160000] lr: 1.396e-06, eta: 1 day, 14:22:25, time: 0.878, data_time: 0.007, memory: 73034, decode.loss_ce: 0.6400, decode.acc_seg: 63.8031, aux.loss_ce: 0.4498, aux.acc_seg: 56.6548, loss: 1.0897 +2022-03-14 00:38:21,199 - mmseg - INFO - Iter [4450/160000] lr: 1.396e-06, eta: 1 day, 14:21:22, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6060, decode.acc_seg: 63.9224, aux.loss_ce: 0.4409, aux.acc_seg: 56.3944, loss: 1.0468 +2022-03-14 00:39:04,761 - mmseg - INFO - Iter [4500/160000] lr: 1.395e-06, eta: 1 day, 14:20:09, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5989, decode.acc_seg: 62.7951, aux.loss_ce: 0.4230, aux.acc_seg: 56.3091, loss: 1.0219 +2022-03-14 00:39:48,316 - mmseg - INFO - Iter [4550/160000] lr: 1.395e-06, eta: 1 day, 14:18:56, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6052, decode.acc_seg: 62.9841, aux.loss_ce: 0.4454, aux.acc_seg: 55.6484, loss: 1.0506 +2022-03-14 00:40:32,110 - mmseg - INFO - Iter [4600/160000] lr: 1.395e-06, eta: 1 day, 14:17:53, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6234, decode.acc_seg: 63.2873, aux.loss_ce: 0.4406, aux.acc_seg: 56.5776, loss: 1.0639 +2022-03-14 00:41:15,649 - mmseg - INFO - Iter [4650/160000] lr: 1.394e-06, eta: 1 day, 14:16:41, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5918, decode.acc_seg: 65.4879, aux.loss_ce: 0.4377, aux.acc_seg: 57.8955, loss: 1.0296 +2022-03-14 00:41:59,175 - mmseg - INFO - Iter [4700/160000] lr: 1.394e-06, eta: 1 day, 14:15:29, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6161, decode.acc_seg: 63.8380, aux.loss_ce: 0.4479, aux.acc_seg: 56.4943, loss: 1.0640 +2022-03-14 00:42:42,825 - mmseg - INFO - Iter [4750/160000] lr: 1.393e-06, eta: 1 day, 14:14:22, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6084, decode.acc_seg: 64.8037, aux.loss_ce: 0.4367, aux.acc_seg: 57.8938, loss: 1.0451 +022-03-14 00:43:26,559 - mmseg - INFO - Iter [4800/160000] lr: 1.393e-06, eta: 1 day, 14:13:18, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.6201, decode.acc_seg: 62.4055, aux.loss_ce: 0.4299, aux.acc_seg: 55.5206, loss: 1.0500 +2022-03-14 00:44:10,249 - mmseg - INFO - Iter [4850/160000] lr: 1.392e-06, eta: 1 day, 14:12:12, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5886, decode.acc_seg: 63.5484, aux.loss_ce: 0.4164, aux.acc_seg: 57.1334, loss: 1.0049 +2022-03-14 00:44:54,168 - mmseg - INFO - Iter [4900/160000] lr: 1.392e-06, eta: 1 day, 14:11:15, time: 0.878, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5981, decode.acc_seg: 63.3212, aux.loss_ce: 0.4247, aux.acc_seg: 55.9695, loss: 1.0228 +2022-03-14 00:45:37,680 - mmseg - INFO - Iter [4950/160000] lr: 1.391e-06, eta: 1 day, 14:10:07, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.6063, decode.acc_seg: 63.0621, aux.loss_ce: 0.4187, aux.acc_seg: 56.8168, loss: 1.0250 +2022-03-14 00:46:21,335 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 00:46:21,339 - mmseg - INFO - Iter [5000/160000] lr: 1.391e-06, eta: 1 day, 14:09:02, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5927, decode.acc_seg: 62.6600, aux.loss_ce: 0.4281, aux.acc_seg: 54.6860, loss: 1.0208 +2022-03-14 00:47:04,703 - mmseg - INFO - Iter [5050/160000] lr: 1.390e-06, eta: 1 day, 14:07:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5849, decode.acc_seg: 63.0116, aux.loss_ce: 0.4131, aux.acc_seg: 56.1480, loss: 0.9981 +2022-03-14 00:47:50,728 - mmseg - INFO - Iter [5100/160000] lr: 1.390e-06, eta: 1 day, 14:07:57, time: 0.920, data_time: 0.051, memory: 73034, decode.loss_ce: 0.5640, decode.acc_seg: 63.1339, aux.loss_ce: 0.4103, aux.acc_seg: 55.6269, loss: 0.9743 +2022-03-14 00:48:34,516 - mmseg - INFO - Iter [5150/160000] lr: 1.390e-06, eta: 1 day, 14:06:57, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5844, decode.acc_seg: 64.3443, aux.loss_ce: 0.4181, aux.acc_seg: 57.0766, loss: 1.0024 +2022-03-14 00:49:18,254 - mmseg - INFO - Iter [5200/160000] lr: 1.389e-06, eta: 1 day, 14:05:56, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5469, decode.acc_seg: 63.8067, aux.loss_ce: 0.4012, aux.acc_seg: 56.3959, loss: 0.9481 +2022-03-14 00:50:01,922 - mmseg - INFO - Iter [5250/160000] lr: 1.389e-06, eta: 1 day, 14:04:53, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5655, decode.acc_seg: 65.3373, aux.loss_ce: 0.4057, aux.acc_seg: 58.4639, loss: 0.9713 +2022-03-14 00:50:45,563 - mmseg - INFO - Iter [5300/160000] lr: 1.388e-06, eta: 1 day, 14:03:50, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5424, decode.acc_seg: 64.2957, aux.loss_ce: 0.3919, aux.acc_seg: 57.5226, loss: 0.9344 +2022-03-14 00:51:29,006 - mmseg - INFO - Iter [5350/160000] lr: 1.388e-06, eta: 1 day, 14:02:41, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5376, decode.acc_seg: 64.3796, aux.loss_ce: 0.3714, aux.acc_seg: 58.0458, loss: 0.9090 +2022-03-14 00:52:12,629 - mmseg - INFO - Iter [5400/160000] lr: 1.387e-06, eta: 1 day, 14:01:36, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5624, decode.acc_seg: 64.2280, aux.loss_ce: 0.3986, aux.acc_seg: 57.2957, loss: 0.9610 +2022-03-14 00:52:56,329 - mmseg - INFO - Iter [5450/160000] lr: 1.387e-06, eta: 1 day, 14:00:37, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5377, decode.acc_seg: 64.8221, aux.loss_ce: 0.3939, aux.acc_seg: 57.7352, loss: 0.9316 +2022-03-14 00:53:40,125 - mmseg - INFO - Iter [5500/160000] lr: 1.386e-06, eta: 1 day, 13:59:40, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5678, decode.acc_seg: 63.9012, aux.loss_ce: 0.4092, aux.acc_seg: 56.3547, loss: 0.9770 +2022-03-14 00:54:23,945 - mmseg - INFO - Iter [5550/160000] lr: 1.386e-06, eta: 1 day, 13:58:43, time: 0.876, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5655, decode.acc_seg: 64.1503, aux.loss_ce: 0.3977, aux.acc_seg: 56.8434, loss: 0.9632 +2022-03-14 00:55:07,720 - mmseg - INFO - Iter [5600/160000] lr: 1.386e-06, eta: 1 day, 13:57:45, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5589, decode.acc_seg: 64.9741, aux.loss_ce: 0.3935, aux.acc_seg: 58.0768, loss: 0.9524 +2022-03-14 00:55:51,548 - mmseg - INFO - Iter [5650/160000] lr: 1.385e-06, eta: 1 day, 13:56:48, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5639, decode.acc_seg: 65.7225, aux.loss_ce: 0.4060, aux.acc_seg: 58.0194, loss: 0.9699 +2022-03-14 00:56:35,195 - mmseg - INFO - Iter [5700/160000] lr: 1.385e-06, eta: 1 day, 13:55:49, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5577, decode.acc_seg: 65.7633, aux.loss_ce: 0.3956, aux.acc_seg: 58.4949, loss: 0.9534 +2022-03-14 00:57:18,841 - mmseg - INFO - Iter [5750/160000] lr: 1.384e-06, eta: 1 day, 13:54:48, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5774, decode.acc_seg: 64.7962, aux.loss_ce: 0.4023, aux.acc_seg: 57.3305, loss: 0.9797 +2022-03-14 00:58:02,414 - mmseg - INFO - Iter [5800/160000] lr: 1.384e-06, eta: 1 day, 13:53:46, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5678, decode.acc_seg: 65.4601, aux.loss_ce: 0.3940, aux.acc_seg: 58.7601, loss: 0.9618 +2022-03-14 00:58:45,901 - mmseg - INFO - Iter [5850/160000] lr: 1.383e-06, eta: 1 day, 13:52:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5415, decode.acc_seg: 64.1762, aux.loss_ce: 0.3760, aux.acc_seg: 57.6769, loss: 0.9175 +2022-03-14 00:59:29,342 - mmseg - INFO - Iter [5900/160000] lr: 1.383e-06, eta: 1 day, 13:51:37, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5521, decode.acc_seg: 64.4238, aux.loss_ce: 0.3764, aux.acc_seg: 57.9605, loss: 0.9285 +2022-03-14 01:00:13,079 - mmseg - INFO - Iter [5950/160000] lr: 1.382e-06, eta: 1 day, 13:50:41, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5447, decode.acc_seg: 64.3720, aux.loss_ce: 0.3737, aux.acc_seg: 57.7945, loss: 0.9184 +2022-03-14 01:00:56,581 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 01:00:56,584 - mmseg - INFO - Iter [6000/160000] lr: 1.382e-06, eta: 1 day, 13:49:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5478, decode.acc_seg: 65.6000, aux.loss_ce: 0.3758, aux.acc_seg: 59.1264, loss: 0.9236 +2022-03-14 01:01:40,124 - mmseg - INFO - Iter [6050/160000] lr: 1.382e-06, eta: 1 day, 13:48:37, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5407, decode.acc_seg: 65.8462, aux.loss_ce: 0.3696, aux.acc_seg: 59.7046, loss: 0.9103 +2022-03-14 01:02:23,670 - mmseg - INFO - Iter [6100/160000] lr: 1.381e-06, eta: 1 day, 13:47:36, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5400, decode.acc_seg: 64.2504, aux.loss_ce: 0.3721, aux.acc_seg: 57.5115, loss: 0.9121 +2022-03-14 01:03:07,226 - mmseg - INFO - Iter [6150/160000] lr: 1.381e-06, eta: 1 day, 13:46:35, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4959, decode.acc_seg: 66.2041, aux.loss_ce: 0.3522, aux.acc_seg: 59.2674, loss: 0.8482 +2022-03-14 01:03:50,927 - mmseg - INFO - Iter [6200/160000] lr: 1.380e-06, eta: 1 day, 13:45:39, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5133, decode.acc_seg: 64.8735, aux.loss_ce: 0.3614, aux.acc_seg: 57.9570, loss: 0.8747 +2022-03-14 01:04:34,563 - mmseg - INFO - Iter [6250/160000] lr: 1.380e-06, eta: 1 day, 13:44:40, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5183, decode.acc_seg: 64.6975, aux.loss_ce: 0.3563, aux.acc_seg: 58.2421, loss: 0.8746 +2022-03-14 01:05:17,938 - mmseg - INFO - Iter [6300/160000] lr: 1.379e-06, eta: 1 day, 13:43:37, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5144, decode.acc_seg: 66.0952, aux.loss_ce: 0.3561, aux.acc_seg: 59.5138, loss: 0.8705 +2022-03-14 01:06:04,075 - mmseg - INFO - Iter [6350/160000] lr: 1.379e-06, eta: 1 day, 13:43:40, time: 0.923, data_time: 0.052, memory: 73034, decode.loss_ce: 0.5453, decode.acc_seg: 64.2025, aux.loss_ce: 0.3779, aux.acc_seg: 57.4995, loss: 0.9232 +2022-03-14 01:06:47,548 - mmseg - INFO - Iter [6400/160000] lr: 1.378e-06, eta: 1 day, 13:42:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5015, decode.acc_seg: 66.2807, aux.loss_ce: 0.3569, aux.acc_seg: 59.2978, loss: 0.8584 +2022-03-14 01:07:31,233 - mmseg - INFO - Iter [6450/160000] lr: 1.378e-06, eta: 1 day, 13:41:42, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5012, decode.acc_seg: 66.3720, aux.loss_ce: 0.3522, aux.acc_seg: 59.4366, loss: 0.8533 +2022-03-14 01:08:14,724 - mmseg - INFO - Iter [6500/160000] lr: 1.377e-06, eta: 1 day, 13:40:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4894, decode.acc_seg: 64.6353, aux.loss_ce: 0.3442, aux.acc_seg: 58.2650, loss: 0.8335 +2022-03-14 01:08:58,216 - mmseg - INFO - Iter [6550/160000] lr: 1.377e-06, eta: 1 day, 13:39:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5066, decode.acc_seg: 67.1776, aux.loss_ce: 0.3505, aux.acc_seg: 60.6083, loss: 0.8571 +2022-03-14 01:09:41,745 - mmseg - INFO - Iter [6600/160000] lr: 1.377e-06, eta: 1 day, 13:38:42, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4803, decode.acc_seg: 66.4682, aux.loss_ce: 0.3414, aux.acc_seg: 59.7700, loss: 0.8217 +2022-03-14 01:10:25,421 - mmseg - INFO - Iter [6650/160000] lr: 1.376e-06, eta: 1 day, 13:37:45, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5211, decode.acc_seg: 66.2883, aux.loss_ce: 0.3550, aux.acc_seg: 60.3032, loss: 0.8762 +2022-03-14 01:11:08,830 - mmseg - INFO - Iter [6700/160000] lr: 1.376e-06, eta: 1 day, 13:36:44, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.5137, decode.acc_seg: 66.2293, aux.loss_ce: 0.3491, aux.acc_seg: 60.0274, loss: 0.8627 +2022-03-14 01:11:52,491 - mmseg - INFO - Iter [6750/160000] lr: 1.375e-06, eta: 1 day, 13:35:49, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5116, decode.acc_seg: 64.4808, aux.loss_ce: 0.3495, aux.acc_seg: 58.1840, loss: 0.8611 +2022-03-14 01:12:36,276 - mmseg - INFO - Iter [6800/160000] lr: 1.375e-06, eta: 1 day, 13:34:56, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4894, decode.acc_seg: 67.1862, aux.loss_ce: 0.3365, aux.acc_seg: 60.6913, loss: 0.8259 +2022-03-14 01:13:19,841 - mmseg - INFO - Iter [6850/160000] lr: 1.374e-06, eta: 1 day, 13:33:59, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4821, decode.acc_seg: 65.4860, aux.loss_ce: 0.3253, aux.acc_seg: 59.8180, loss: 0.8074 +2022-03-14 01:14:03,379 - mmseg - INFO - Iter [6900/160000] lr: 1.374e-06, eta: 1 day, 13:33:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5116, decode.acc_seg: 64.9293, aux.loss_ce: 0.3497, aux.acc_seg: 58.5549, loss: 0.8613 +2022-03-14 01:14:47,160 - mmseg - INFO - Iter [6950/160000] lr: 1.373e-06, eta: 1 day, 13:32:09, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5157, decode.acc_seg: 64.8698, aux.loss_ce: 0.3468, aux.acc_seg: 58.8843, loss: 0.8625 +2022-03-14 01:15:30,628 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 01:15:30,643 - mmseg - INFO - Iter [7000/160000] lr: 1.373e-06, eta: 1 day, 13:31:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5088, decode.acc_seg: 67.1842, aux.loss_ce: 0.3506, aux.acc_seg: 60.7549, loss: 0.8594 +2022-03-14 01:16:14,378 - mmseg - INFO - Iter [7050/160000] lr: 1.373e-06, eta: 1 day, 13:30:17, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5112, decode.acc_seg: 67.0798, aux.loss_ce: 0.3353, aux.acc_seg: 61.4467, loss: 0.8465 +2022-03-14 01:16:57,955 - mmseg - INFO - Iter [7100/160000] lr: 1.372e-06, eta: 1 day, 13:29:21, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4741, decode.acc_seg: 66.5757, aux.loss_ce: 0.3264, aux.acc_seg: 60.3111, loss: 0.8005 +2022-03-14 01:17:41,868 - mmseg - INFO - Iter [7150/160000] lr: 1.372e-06, eta: 1 day, 13:28:32, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4977, decode.acc_seg: 65.1377, aux.loss_ce: 0.3281, aux.acc_seg: 59.8710, loss: 0.8258 +2022-03-14 01:18:25,289 - mmseg - INFO - Iter [7200/160000] lr: 1.371e-06, eta: 1 day, 13:27:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5107, decode.acc_seg: 65.0799, aux.loss_ce: 0.3507, aux.acc_seg: 58.1801, loss: 0.8614 +2022-03-14 01:19:08,953 - mmseg - INFO - Iter [7250/160000] lr: 1.371e-06, eta: 1 day, 13:26:39, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5100, decode.acc_seg: 66.2265, aux.loss_ce: 0.3306, aux.acc_seg: 60.7582, loss: 0.8406 +2022-03-14 01:19:52,603 - mmseg - INFO - Iter [7300/160000] lr: 1.370e-06, eta: 1 day, 13:25:45, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4847, decode.acc_seg: 66.4486, aux.loss_ce: 0.3315, aux.acc_seg: 60.3937, loss: 0.8162 +2022-03-14 01:20:36,225 - mmseg - INFO - Iter [7350/160000] lr: 1.370e-06, eta: 1 day, 13:24:50, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5196, decode.acc_seg: 66.6024, aux.loss_ce: 0.3422, aux.acc_seg: 60.1961, loss: 0.8618 +2022-03-14 01:21:19,738 - mmseg - INFO - Iter [7400/160000] lr: 1.369e-06, eta: 1 day, 13:23:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5473, decode.acc_seg: 64.4395, aux.loss_ce: 0.3372, aux.acc_seg: 59.5778, loss: 0.8845 +2022-03-14 01:22:03,419 - mmseg - INFO - Iter [7450/160000] lr: 1.369e-06, eta: 1 day, 13:23:01, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5026, decode.acc_seg: 65.4382, aux.loss_ce: 0.3316, aux.acc_seg: 59.5881, loss: 0.8343 +2022-03-14 01:22:47,324 - mmseg - INFO - Iter [7500/160000] lr: 1.369e-06, eta: 1 day, 13:22:11, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4744, decode.acc_seg: 65.9898, aux.loss_ce: 0.3198, aux.acc_seg: 60.4546, loss: 0.7942 +2022-03-14 01:23:31,239 - mmseg - INFO - Iter [7550/160000] lr: 1.368e-06, eta: 1 day, 13:21:25, time: 0.880, data_time: 0.007, memory: 73034, decode.loss_ce: 0.4881, decode.acc_seg: 65.6031, aux.loss_ce: 0.3203, aux.acc_seg: 60.2162, loss: 0.8085 +2022-03-14 01:24:17,457 - mmseg - INFO - Iter [7600/160000] lr: 1.368e-06, eta: 1 day, 13:21:23, time: 0.924, data_time: 0.051, memory: 73034, decode.loss_ce: 0.4763, decode.acc_seg: 66.5505, aux.loss_ce: 0.3152, aux.acc_seg: 60.6809, loss: 0.7915 +2022-03-14 01:25:01,129 - mmseg - INFO - Iter [7650/160000] lr: 1.367e-06, eta: 1 day, 13:20:30, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4330, decode.acc_seg: 67.7343, aux.loss_ce: 0.3117, aux.acc_seg: 61.2980, loss: 0.7447 +2022-03-14 01:25:44,682 - mmseg - INFO - Iter [7700/160000] lr: 1.367e-06, eta: 1 day, 13:19:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4886, decode.acc_seg: 66.8421, aux.loss_ce: 0.3204, aux.acc_seg: 61.7133, loss: 0.8090 +2022-03-14 01:26:28,187 - mmseg - INFO - Iter [7750/160000] lr: 1.366e-06, eta: 1 day, 13:18:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4782, decode.acc_seg: 65.3498, aux.loss_ce: 0.3207, aux.acc_seg: 59.4198, loss: 0.7990 +2022-03-14 01:27:11,696 - mmseg - INFO - Iter [7800/160000] lr: 1.366e-06, eta: 1 day, 13:17:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4799, decode.acc_seg: 67.2785, aux.loss_ce: 0.3325, aux.acc_seg: 60.6852, loss: 0.8124 +2022-03-14 01:27:55,249 - mmseg - INFO - Iter [7850/160000] lr: 1.365e-06, eta: 1 day, 13:16:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4513, decode.acc_seg: 66.1442, aux.loss_ce: 0.3018, aux.acc_seg: 60.8375, loss: 0.7531 +2022-03-14 01:28:38,847 - mmseg - INFO - Iter [7900/160000] lr: 1.365e-06, eta: 1 day, 13:15:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4810, decode.acc_seg: 64.9591, aux.loss_ce: 0.3149, aux.acc_seg: 59.4872, loss: 0.7958 +2022-03-14 01:29:22,451 - mmseg - INFO - Iter [7950/160000] lr: 1.364e-06, eta: 1 day, 13:15:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4605, decode.acc_seg: 67.7114, aux.loss_ce: 0.3069, aux.acc_seg: 61.8967, loss: 0.7675 +2022-03-14 01:30:05,863 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 01:30:05,867 - mmseg - INFO - Iter [8000/160000] lr: 1.364e-06, eta: 1 day, 13:14:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4647, decode.acc_seg: 66.0602, aux.loss_ce: 0.3015, aux.acc_seg: 61.0122, loss: 0.7662 +2022-03-14 01:30:49,445 - mmseg - INFO - Iter [8050/160000] lr: 1.364e-06, eta: 1 day, 13:13:09, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4772, decode.acc_seg: 66.0039, aux.loss_ce: 0.2983, aux.acc_seg: 61.3834, loss: 0.7755 +2022-03-14 01:31:32,938 - mmseg - INFO - Iter [8100/160000] lr: 1.363e-06, eta: 1 day, 13:12:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4344, decode.acc_seg: 66.4332, aux.loss_ce: 0.2963, aux.acc_seg: 60.7474, loss: 0.7307 +2022-03-14 01:32:16,552 - mmseg - INFO - Iter [8150/160000] lr: 1.363e-06, eta: 1 day, 13:11:21, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4714, decode.acc_seg: 65.6553, aux.loss_ce: 0.3099, aux.acc_seg: 60.2462, loss: 0.7813 +2022-03-14 01:33:00,054 - mmseg - INFO - Iter [8200/160000] lr: 1.362e-06, eta: 1 day, 13:10:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4690, decode.acc_seg: 67.9479, aux.loss_ce: 0.3047, aux.acc_seg: 62.7135, loss: 0.7737 +2022-03-14 01:33:43,649 - mmseg - INFO - Iter [8250/160000] lr: 1.362e-06, eta: 1 day, 13:09:33, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4666, decode.acc_seg: 66.2127, aux.loss_ce: 0.3035, aux.acc_seg: 60.9625, loss: 0.7701 +2022-03-14 01:34:27,287 - mmseg - INFO - Iter [8300/160000] lr: 1.361e-06, eta: 1 day, 13:08:41, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.5022, decode.acc_seg: 66.7478, aux.loss_ce: 0.3332, aux.acc_seg: 60.3565, loss: 0.8354 +2022-03-14 01:35:10,757 - mmseg - INFO - Iter [8350/160000] lr: 1.361e-06, eta: 1 day, 13:07:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4826, decode.acc_seg: 66.0834, aux.loss_ce: 0.3038, aux.acc_seg: 61.1356, loss: 0.7864 +2022-03-14 01:35:54,247 - mmseg - INFO - Iter [8400/160000] lr: 1.360e-06, eta: 1 day, 13:06:51, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4802, decode.acc_seg: 67.7499, aux.loss_ce: 0.3051, aux.acc_seg: 63.0987, loss: 0.7853 +2022-03-14 01:36:37,880 - mmseg - INFO - Iter [8450/160000] lr: 1.360e-06, eta: 1 day, 13:06:00, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4540, decode.acc_seg: 66.8246, aux.loss_ce: 0.2935, aux.acc_seg: 61.7772, loss: 0.7475 +2022-03-14 01:37:21,423 - mmseg - INFO - Iter [8500/160000] lr: 1.360e-06, eta: 1 day, 13:05:06, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4768, decode.acc_seg: 66.1490, aux.loss_ce: 0.3039, aux.acc_seg: 60.8236, loss: 0.7806 +2022-03-14 01:38:05,003 - mmseg - INFO - Iter [8550/160000] lr: 1.359e-06, eta: 1 day, 13:04:14, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4534, decode.acc_seg: 66.8098, aux.loss_ce: 0.2816, aux.acc_seg: 62.0660, loss: 0.7350 +2022-03-14 01:38:48,455 - mmseg - INFO - Iter [8600/160000] lr: 1.359e-06, eta: 1 day, 13:03:19, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4822, decode.acc_seg: 67.4157, aux.loss_ce: 0.2985, aux.acc_seg: 62.5337, loss: 0.7807 +2022-03-14 01:39:32,142 - mmseg - INFO - Iter [8650/160000] lr: 1.358e-06, eta: 1 day, 13:02:28, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4618, decode.acc_seg: 66.2155, aux.loss_ce: 0.2870, aux.acc_seg: 61.9707, loss: 0.7488 +2022-03-14 01:40:15,857 - mmseg - INFO - Iter [8700/160000] lr: 1.358e-06, eta: 1 day, 13:01:38, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4478, decode.acc_seg: 68.0341, aux.loss_ce: 0.2955, aux.acc_seg: 62.4728, loss: 0.7432 +2022-03-14 01:40:59,553 - mmseg - INFO - Iter [8750/160000] lr: 1.357e-06, eta: 1 day, 13:00:48, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4438, decode.acc_seg: 66.0673, aux.loss_ce: 0.2837, aux.acc_seg: 60.9980, loss: 0.7276 +2022-03-14 01:41:43,434 - mmseg - INFO - Iter [8800/160000] lr: 1.357e-06, eta: 1 day, 13:00:01, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4390, decode.acc_seg: 66.8546, aux.loss_ce: 0.2833, aux.acc_seg: 61.6548, loss: 0.7223 +2022-03-14 01:42:29,528 - mmseg - INFO - Iter [8850/160000] lr: 1.356e-06, eta: 1 day, 12:59:52, time: 0.922, data_time: 0.052, memory: 73034, decode.loss_ce: 0.4599, decode.acc_seg: 67.1227, aux.loss_ce: 0.2950, aux.acc_seg: 61.9564, loss: 0.7549 +2022-03-14 01:43:13,361 - mmseg - INFO - Iter [8900/160000] lr: 1.356e-06, eta: 1 day, 12:59:04, time: 0.877, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4323, decode.acc_seg: 68.0538, aux.loss_ce: 0.2943, aux.acc_seg: 62.0603, loss: 0.7266 +2022-03-14 01:43:57,189 - mmseg - INFO - Iter [8950/160000] lr: 1.355e-06, eta: 1 day, 12:58:16, time: 0.877, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4086, decode.acc_seg: 68.4726, aux.loss_ce: 0.2638, aux.acc_seg: 63.7112, loss: 0.6725 +2022-03-14 01:44:40,614 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 01:44:40,616 - mmseg - INFO - Iter [9000/160000] lr: 1.355e-06, eta: 1 day, 12:57:22, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4378, decode.acc_seg: 67.3048, aux.loss_ce: 0.2862, aux.acc_seg: 62.4436, loss: 0.7241 +2022-03-14 01:45:24,090 - mmseg - INFO - Iter [9050/160000] lr: 1.355e-06, eta: 1 day, 12:56:28, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4450, decode.acc_seg: 67.9497, aux.loss_ce: 0.2922, aux.acc_seg: 62.4596, loss: 0.7372 +2022-03-14 01:46:07,510 - mmseg - INFO - Iter [9100/160000] lr: 1.354e-06, eta: 1 day, 12:55:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4409, decode.acc_seg: 67.5826, aux.loss_ce: 0.2785, aux.acc_seg: 62.6714, loss: 0.7195 +2022-03-14 01:46:50,934 - mmseg - INFO - Iter [9150/160000] lr: 1.354e-06, eta: 1 day, 12:54:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4459, decode.acc_seg: 67.8166, aux.loss_ce: 0.2852, aux.acc_seg: 62.7231, loss: 0.7311 +2022-03-14 01:47:34,523 - mmseg - INFO - Iter [9200/160000] lr: 1.353e-06, eta: 1 day, 12:53:48, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4775, decode.acc_seg: 68.0160, aux.loss_ce: 0.3041, aux.acc_seg: 62.8295, loss: 0.7816 +2022-03-14 01:48:18,189 - mmseg - INFO - Iter [9250/160000] lr: 1.353e-06, eta: 1 day, 12:52:57, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4293, decode.acc_seg: 67.4765, aux.loss_ce: 0.2802, aux.acc_seg: 62.2220, loss: 0.7095 +2022-03-14 01:49:01,730 - mmseg - INFO - Iter [9300/160000] lr: 1.352e-06, eta: 1 day, 12:52:05, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4247, decode.acc_seg: 68.5474, aux.loss_ce: 0.2705, aux.acc_seg: 63.6204, loss: 0.6951 +2022-03-14 01:49:45,291 - mmseg - INFO - Iter [9350/160000] lr: 1.352e-06, eta: 1 day, 12:51:14, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4395, decode.acc_seg: 67.7734, aux.loss_ce: 0.2836, aux.acc_seg: 62.8077, loss: 0.7232 +2022-03-14 01:50:28,942 - mmseg - INFO - Iter [9400/160000] lr: 1.351e-06, eta: 1 day, 12:50:22, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4365, decode.acc_seg: 67.4833, aux.loss_ce: 0.2737, aux.acc_seg: 62.9869, loss: 0.7102 +2022-03-14 01:51:12,528 - mmseg - INFO - Iter [9450/160000] lr: 1.351e-06, eta: 1 day, 12:49:32, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.4284, decode.acc_seg: 68.5511, aux.loss_ce: 0.2830, aux.acc_seg: 63.4130, loss: 0.7114 +2022-03-14 01:51:56,396 - mmseg - INFO - Iter [9500/160000] lr: 1.351e-06, eta: 1 day, 12:48:45, time: 0.877, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4247, decode.acc_seg: 66.6292, aux.loss_ce: 0.2739, aux.acc_seg: 61.8740, loss: 0.6986 +2022-03-14 01:52:40,040 - mmseg - INFO - Iter [9550/160000] lr: 1.350e-06, eta: 1 day, 12:47:55, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4304, decode.acc_seg: 66.1443, aux.loss_ce: 0.2662, aux.acc_seg: 61.3840, loss: 0.6966 +2022-03-14 01:53:23,712 - mmseg - INFO - Iter [9600/160000] lr: 1.350e-06, eta: 1 day, 12:47:06, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.4303, decode.acc_seg: 67.8543, aux.loss_ce: 0.2677, aux.acc_seg: 63.4998, loss: 0.6980 +2022-03-14 01:54:07,399 - mmseg - INFO - Iter [9650/160000] lr: 1.349e-06, eta: 1 day, 12:46:17, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4642, decode.acc_seg: 68.5789, aux.loss_ce: 0.2860, aux.acc_seg: 64.2090, loss: 0.7502 +2022-03-14 01:54:51,153 - mmseg - INFO - Iter [9700/160000] lr: 1.349e-06, eta: 1 day, 12:45:28, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4327, decode.acc_seg: 67.6305, aux.loss_ce: 0.2665, aux.acc_seg: 63.4797, loss: 0.6991 +2022-03-14 01:55:34,716 - mmseg - INFO - Iter [9750/160000] lr: 1.348e-06, eta: 1 day, 12:44:37, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4180, decode.acc_seg: 67.6865, aux.loss_ce: 0.2545, aux.acc_seg: 64.0337, loss: 0.6726 +2022-03-14 01:56:18,318 - mmseg - INFO - Iter [9800/160000] lr: 1.348e-06, eta: 1 day, 12:43:47, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4694, decode.acc_seg: 65.5741, aux.loss_ce: 0.2848, aux.acc_seg: 61.2067, loss: 0.7542 +2022-03-14 01:57:01,803 - mmseg - INFO - Iter [9850/160000] lr: 1.347e-06, eta: 1 day, 12:42:55, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4301, decode.acc_seg: 67.3380, aux.loss_ce: 0.2613, aux.acc_seg: 63.1205, loss: 0.6914 +2022-03-14 01:57:45,396 - mmseg - INFO - Iter [9900/160000] lr: 1.347e-06, eta: 1 day, 12:42:04, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4383, decode.acc_seg: 67.4914, aux.loss_ce: 0.2697, aux.acc_seg: 63.0645, loss: 0.7080 +2022-03-14 01:58:28,939 - mmseg - INFO - Iter [9950/160000] lr: 1.347e-06, eta: 1 day, 12:41:13, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4400, decode.acc_seg: 66.4848, aux.loss_ce: 0.2709, aux.acc_seg: 62.1818, loss: 0.7109 +2022-03-14 01:59:12,634 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 01:59:12,638 - mmseg - INFO - Iter [10000/160000] lr: 1.346e-06, eta: 1 day, 12:40:25, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4423, decode.acc_seg: 67.3479, aux.loss_ce: 0.2746, aux.acc_seg: 62.5130, loss: 0.7169 +2022-03-14 01:59:56,288 - mmseg - INFO - Iter [10050/160000] lr: 1.346e-06, eta: 1 day, 12:39:35, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4295, decode.acc_seg: 66.0056, aux.loss_ce: 0.2629, aux.acc_seg: 61.7292, loss: 0.6924 +2022-03-14 02:00:40,820 - mmseg - INFO - Iter [10100/160000] lr: 1.345e-06, eta: 1 day, 12:38:59, time: 0.890, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4322, decode.acc_seg: 67.7336, aux.loss_ce: 0.2629, aux.acc_seg: 63.8517, loss: 0.6952 +2022-03-14 02:01:26,839 - mmseg - INFO - Iter [10150/160000] lr: 1.345e-06, eta: 1 day, 12:38:45, time: 0.921, data_time: 0.052, memory: 73034, decode.loss_ce: 0.3997, decode.acc_seg: 69.5127, aux.loss_ce: 0.2518, aux.acc_seg: 65.2272, loss: 0.6515 +2022-03-14 02:02:10,661 - mmseg - INFO - Iter [10200/160000] lr: 1.344e-06, eta: 1 day, 12:37:58, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4050, decode.acc_seg: 69.7675, aux.loss_ce: 0.2629, aux.acc_seg: 65.1431, loss: 0.6679 +2022-03-14 02:02:54,060 - mmseg - INFO - Iter [10250/160000] lr: 1.344e-06, eta: 1 day, 12:37:05, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3828, decode.acc_seg: 68.4738, aux.loss_ce: 0.2404, aux.acc_seg: 64.2123, loss: 0.6232 +2022-03-14 02:03:37,750 - mmseg - INFO - Iter [10300/160000] lr: 1.343e-06, eta: 1 day, 12:36:16, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4469, decode.acc_seg: 68.9812, aux.loss_ce: 0.2761, aux.acc_seg: 64.5456, loss: 0.7230 +2022-03-14 02:04:21,226 - mmseg - INFO - Iter [10350/160000] lr: 1.343e-06, eta: 1 day, 12:35:24, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3962, decode.acc_seg: 67.5328, aux.loss_ce: 0.2535, aux.acc_seg: 62.7232, loss: 0.6497 +2022-03-14 02:05:04,736 - mmseg - INFO - Iter [10400/160000] lr: 1.342e-06, eta: 1 day, 12:34:33, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4037, decode.acc_seg: 67.6524, aux.loss_ce: 0.2438, aux.acc_seg: 64.0439, loss: 0.6475 +2022-03-14 02:05:48,281 - mmseg - INFO - Iter [10450/160000] lr: 1.342e-06, eta: 1 day, 12:33:42, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4036, decode.acc_seg: 68.1734, aux.loss_ce: 0.2544, aux.acc_seg: 63.6491, loss: 0.6580 +2022-03-14 02:06:32,133 - mmseg - INFO - Iter [10500/160000] lr: 1.342e-06, eta: 1 day, 12:32:56, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4188, decode.acc_seg: 68.7311, aux.loss_ce: 0.2608, aux.acc_seg: 64.5498, loss: 0.6796 +2022-03-14 02:07:15,662 - mmseg - INFO - Iter [10550/160000] lr: 1.341e-06, eta: 1 day, 12:32:05, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4046, decode.acc_seg: 69.7491, aux.loss_ce: 0.2537, aux.acc_seg: 65.6512, loss: 0.6582 +2022-03-14 02:07:59,133 - mmseg - INFO - Iter [10600/160000] lr: 1.341e-06, eta: 1 day, 12:31:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4063, decode.acc_seg: 67.2390, aux.loss_ce: 0.2554, aux.acc_seg: 63.0134, loss: 0.6618 +2022-03-14 02:08:42,630 - mmseg - INFO - Iter [10650/160000] lr: 1.340e-06, eta: 1 day, 12:30:23, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4290, decode.acc_seg: 67.7224, aux.loss_ce: 0.2593, aux.acc_seg: 63.7052, loss: 0.6883 +2022-03-14 02:09:26,144 - mmseg - INFO - Iter [10700/160000] lr: 1.340e-06, eta: 1 day, 12:29:32, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4285, decode.acc_seg: 66.9590, aux.loss_ce: 0.2549, aux.acc_seg: 63.0282, loss: 0.6833 +2022-03-14 02:10:09,682 - mmseg - INFO - Iter [10750/160000] lr: 1.339e-06, eta: 1 day, 12:28:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4255, decode.acc_seg: 69.4890, aux.loss_ce: 0.2577, aux.acc_seg: 65.5508, loss: 0.6832 +2022-03-14 02:10:53,065 - mmseg - INFO - Iter [10800/160000] lr: 1.339e-06, eta: 1 day, 12:27:49, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4142, decode.acc_seg: 67.9502, aux.loss_ce: 0.2461, aux.acc_seg: 64.1638, loss: 0.6603 +2022-03-14 02:11:36,454 - mmseg - INFO - Iter [10850/160000] lr: 1.338e-06, eta: 1 day, 12:26:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4392, decode.acc_seg: 68.4031, aux.loss_ce: 0.2647, aux.acc_seg: 64.1502, loss: 0.7039 +2022-03-14 02:12:20,280 - mmseg - INFO - Iter [10900/160000] lr: 1.338e-06, eta: 1 day, 12:26:11, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4399, decode.acc_seg: 67.9036, aux.loss_ce: 0.2660, aux.acc_seg: 63.8327, loss: 0.7059 +2022-03-14 02:13:03,863 - mmseg - INFO - Iter [10950/160000] lr: 1.338e-06, eta: 1 day, 12:25:21, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4332, decode.acc_seg: 67.6585, aux.loss_ce: 0.2485, aux.acc_seg: 64.0835, loss: 0.6817 +2022-03-14 02:13:47,331 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 02:13:47,334 - mmseg - INFO - Iter [11000/160000] lr: 1.337e-06, eta: 1 day, 12:24:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4142, decode.acc_seg: 66.6982, aux.loss_ce: 0.2569, aux.acc_seg: 62.4956, loss: 0.6710 +2022-03-14 02:14:31,126 - mmseg - INFO - Iter [11050/160000] lr: 1.337e-06, eta: 1 day, 12:23:44, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4321, decode.acc_seg: 67.7619, aux.loss_ce: 0.2522, aux.acc_seg: 64.0095, loss: 0.6844 +2022-03-14 02:15:14,663 - mmseg - INFO - Iter [11100/160000] lr: 1.336e-06, eta: 1 day, 12:22:53, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4148, decode.acc_seg: 67.3954, aux.loss_ce: 0.2472, aux.acc_seg: 63.8476, loss: 0.6619 +2022-03-14 02:15:58,127 - mmseg - INFO - Iter [11150/160000] lr: 1.336e-06, eta: 1 day, 12:22:03, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4080, decode.acc_seg: 67.9214, aux.loss_ce: 0.2417, aux.acc_seg: 64.4647, loss: 0.6497 +2022-03-14 02:16:41,899 - mmseg - INFO - Iter [11200/160000] lr: 1.335e-06, eta: 1 day, 12:21:16, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4134, decode.acc_seg: 66.8269, aux.loss_ce: 0.2579, aux.acc_seg: 62.5465, loss: 0.6713 +2022-03-14 02:17:25,295 - mmseg - INFO - Iter [11250/160000] lr: 1.335e-06, eta: 1 day, 12:20:24, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4237, decode.acc_seg: 67.0292, aux.loss_ce: 0.2508, aux.acc_seg: 63.2762, loss: 0.6746 +2022-03-14 02:18:08,768 - mmseg - INFO - Iter [11300/160000] lr: 1.334e-06, eta: 1 day, 12:19:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4214, decode.acc_seg: 67.5680, aux.loss_ce: 0.2547, aux.acc_seg: 63.6232, loss: 0.6761 +2022-03-14 02:18:52,652 - mmseg - INFO - Iter [11350/160000] lr: 1.334e-06, eta: 1 day, 12:18:48, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3930, decode.acc_seg: 68.8698, aux.loss_ce: 0.2301, aux.acc_seg: 65.7783, loss: 0.6230 +2022-03-14 02:19:38,748 - mmseg - INFO - Iter [11400/160000] lr: 1.334e-06, eta: 1 day, 12:18:32, time: 0.922, data_time: 0.055, memory: 73034, decode.loss_ce: 0.4101, decode.acc_seg: 68.5747, aux.loss_ce: 0.2434, aux.acc_seg: 64.9849, loss: 0.6534 +2022-03-14 02:20:22,358 - mmseg - INFO - Iter [11450/160000] lr: 1.333e-06, eta: 1 day, 12:17:43, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3736, decode.acc_seg: 69.3085, aux.loss_ce: 0.2304, aux.acc_seg: 65.5385, loss: 0.6040 +2022-03-14 02:21:05,994 - mmseg - INFO - Iter [11500/160000] lr: 1.333e-06, eta: 1 day, 12:16:55, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4059, decode.acc_seg: 68.3905, aux.loss_ce: 0.2446, aux.acc_seg: 64.4964, loss: 0.6505 +2022-03-14 02:21:49,802 - mmseg - INFO - Iter [11550/160000] lr: 1.332e-06, eta: 1 day, 12:16:08, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3887, decode.acc_seg: 68.8990, aux.loss_ce: 0.2337, aux.acc_seg: 65.4137, loss: 0.6224 +2022-03-14 02:22:33,459 - mmseg - INFO - Iter [11600/160000] lr: 1.332e-06, eta: 1 day, 12:15:21, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3774, decode.acc_seg: 69.8377, aux.loss_ce: 0.2298, aux.acc_seg: 66.4808, loss: 0.6072 +2022-03-14 02:23:16,971 - mmseg - INFO - Iter [11650/160000] lr: 1.331e-06, eta: 1 day, 12:14:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4161, decode.acc_seg: 67.7278, aux.loss_ce: 0.2396, aux.acc_seg: 64.4992, loss: 0.6557 +2022-03-14 02:24:00,594 - mmseg - INFO - Iter [11700/160000] lr: 1.331e-06, eta: 1 day, 12:13:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4252, decode.acc_seg: 68.7238, aux.loss_ce: 0.2578, aux.acc_seg: 64.4979, loss: 0.6831 +2022-03-14 02:24:44,005 - mmseg - INFO - Iter [11750/160000] lr: 1.330e-06, eta: 1 day, 12:12:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4044, decode.acc_seg: 68.0176, aux.loss_ce: 0.2364, aux.acc_seg: 64.2751, loss: 0.6408 +2022-03-14 02:25:27,835 - mmseg - INFO - Iter [11800/160000] lr: 1.330e-06, eta: 1 day, 12:12:06, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3941, decode.acc_seg: 68.9089, aux.loss_ce: 0.2365, aux.acc_seg: 65.2896, loss: 0.6306 +2022-03-14 02:26:11,446 - mmseg - INFO - Iter [11850/160000] lr: 1.329e-06, eta: 1 day, 12:11:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3917, decode.acc_seg: 68.1332, aux.loss_ce: 0.2333, aux.acc_seg: 64.3975, loss: 0.6250 +2022-03-14 02:26:55,201 - mmseg - INFO - Iter [11900/160000] lr: 1.329e-06, eta: 1 day, 12:10:30, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.4043, decode.acc_seg: 67.3893, aux.loss_ce: 0.2372, aux.acc_seg: 64.0125, loss: 0.6416 +2022-03-14 02:27:38,868 - mmseg - INFO - Iter [11950/160000] lr: 1.329e-06, eta: 1 day, 12:09:43, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4054, decode.acc_seg: 68.9014, aux.loss_ce: 0.2374, aux.acc_seg: 65.2634, loss: 0.6428 +2022-03-14 02:28:22,542 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 02:28:22,547 - mmseg - INFO - Iter [12000/160000] lr: 1.328e-06, eta: 1 day, 12:08:55, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3946, decode.acc_seg: 68.2945, aux.loss_ce: 0.2288, aux.acc_seg: 65.3160, loss: 0.6234 +2022-03-14 02:29:05,983 - mmseg - INFO - Iter [12050/160000] lr: 1.328e-06, eta: 1 day, 12:08:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3984, decode.acc_seg: 68.2735, aux.loss_ce: 0.2352, aux.acc_seg: 64.7818, loss: 0.6335 +2022-03-14 02:29:49,529 - mmseg - INFO - Iter [12100/160000] lr: 1.327e-06, eta: 1 day, 12:07:16, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4024, decode.acc_seg: 69.1612, aux.loss_ce: 0.2346, aux.acc_seg: 65.8309, loss: 0.6370 +2022-03-14 02:30:33,102 - mmseg - INFO - Iter [12150/160000] lr: 1.327e-06, eta: 1 day, 12:06:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3895, decode.acc_seg: 67.7646, aux.loss_ce: 0.2256, aux.acc_seg: 64.5373, loss: 0.6151 +2022-03-14 02:31:16,631 - mmseg - INFO - Iter [12200/160000] lr: 1.326e-06, eta: 1 day, 12:05:38, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3751, decode.acc_seg: 68.8593, aux.loss_ce: 0.2232, aux.acc_seg: 65.3556, loss: 0.5983 +2022-03-14 02:31:59,982 - mmseg - INFO - Iter [12250/160000] lr: 1.326e-06, eta: 1 day, 12:04:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3988, decode.acc_seg: 68.7350, aux.loss_ce: 0.2336, aux.acc_seg: 65.6859, loss: 0.6323 +2022-03-14 02:32:43,692 - mmseg - INFO - Iter [12300/160000] lr: 1.325e-06, eta: 1 day, 12:04:00, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.4255, decode.acc_seg: 67.6928, aux.loss_ce: 0.2485, aux.acc_seg: 63.8856, loss: 0.6740 +2022-03-14 02:33:27,516 - mmseg - INFO - Iter [12350/160000] lr: 1.325e-06, eta: 1 day, 12:03:14, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3987, decode.acc_seg: 68.3826, aux.loss_ce: 0.2295, aux.acc_seg: 65.0415, loss: 0.6282 +2022-03-14 02:34:11,174 - mmseg - INFO - Iter [12400/160000] lr: 1.325e-06, eta: 1 day, 12:02:27, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3951, decode.acc_seg: 69.2257, aux.loss_ce: 0.2285, aux.acc_seg: 65.5051, loss: 0.6236 +2022-03-14 02:34:55,042 - mmseg - INFO - Iter [12450/160000] lr: 1.324e-06, eta: 1 day, 12:01:42, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3963, decode.acc_seg: 69.1393, aux.loss_ce: 0.2297, aux.acc_seg: 66.2459, loss: 0.6260 +2022-03-14 02:35:38,626 - mmseg - INFO - Iter [12500/160000] lr: 1.324e-06, eta: 1 day, 12:00:53, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4210, decode.acc_seg: 66.3496, aux.loss_ce: 0.2341, aux.acc_seg: 63.6979, loss: 0.6551 +2022-03-14 02:36:22,356 - mmseg - INFO - Iter [12550/160000] lr: 1.323e-06, eta: 1 day, 12:00:07, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.4025, decode.acc_seg: 68.8996, aux.loss_ce: 0.2389, aux.acc_seg: 65.1712, loss: 0.6413 +2022-03-14 02:37:06,076 - mmseg - INFO - Iter [12600/160000] lr: 1.323e-06, eta: 1 day, 11:59:20, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3886, decode.acc_seg: 68.1829, aux.loss_ce: 0.2191, aux.acc_seg: 65.2742, loss: 0.6077 +2022-03-14 02:37:51,998 - mmseg - INFO - Iter [12650/160000] lr: 1.322e-06, eta: 1 day, 11:58:59, time: 0.918, data_time: 0.049, memory: 73034, decode.loss_ce: 0.3973, decode.acc_seg: 68.7086, aux.loss_ce: 0.2294, aux.acc_seg: 65.3951, loss: 0.6267 +2022-03-14 02:38:35,640 - mmseg - INFO - Iter [12700/160000] lr: 1.322e-06, eta: 1 day, 11:58:12, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3499, decode.acc_seg: 70.3244, aux.loss_ce: 0.2095, aux.acc_seg: 67.1731, loss: 0.5593 +2022-03-14 02:39:19,202 - mmseg - INFO - Iter [12750/160000] lr: 1.321e-06, eta: 1 day, 11:57:23, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3612, decode.acc_seg: 69.4038, aux.loss_ce: 0.2224, aux.acc_seg: 65.3685, loss: 0.5837 +2022-03-14 02:40:02,871 - mmseg - INFO - Iter [12800/160000] lr: 1.321e-06, eta: 1 day, 11:56:36, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3834, decode.acc_seg: 69.3096, aux.loss_ce: 0.2180, aux.acc_seg: 66.2738, loss: 0.6014 +2022-03-14 02:40:46,426 - mmseg - INFO - Iter [12850/160000] lr: 1.320e-06, eta: 1 day, 11:55:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3732, decode.acc_seg: 67.2770, aux.loss_ce: 0.2207, aux.acc_seg: 64.0072, loss: 0.5938 +2022-03-14 02:41:30,037 - mmseg - INFO - Iter [12900/160000] lr: 1.320e-06, eta: 1 day, 11:55:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3733, decode.acc_seg: 69.1079, aux.loss_ce: 0.2293, aux.acc_seg: 64.9946, loss: 0.6027 +2022-03-14 02:42:13,750 - mmseg - INFO - Iter [12950/160000] lr: 1.320e-06, eta: 1 day, 11:54:13, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3766, decode.acc_seg: 69.7510, aux.loss_ce: 0.2222, aux.acc_seg: 66.5575, loss: 0.5988 +2022-03-14 02:42:57,289 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 02:42:57,294 - mmseg - INFO - Iter [13000/160000] lr: 1.319e-06, eta: 1 day, 11:53:24, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3889, decode.acc_seg: 68.8484, aux.loss_ce: 0.2270, aux.acc_seg: 65.4688, loss: 0.6158 +2022-03-14 02:43:40,681 - mmseg - INFO - Iter [13050/160000] lr: 1.319e-06, eta: 1 day, 11:52:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4128, decode.acc_seg: 68.7446, aux.loss_ce: 0.2372, aux.acc_seg: 65.5651, loss: 0.6500 +2022-03-14 02:44:24,410 - mmseg - INFO - Iter [13100/160000] lr: 1.318e-06, eta: 1 day, 11:51:48, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3865, decode.acc_seg: 68.6571, aux.loss_ce: 0.2217, aux.acc_seg: 65.4936, loss: 0.6081 +2022-03-14 02:45:07,830 - mmseg - INFO - Iter [13150/160000] lr: 1.318e-06, eta: 1 day, 11:50:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3844, decode.acc_seg: 68.8565, aux.loss_ce: 0.2168, aux.acc_seg: 65.9323, loss: 0.6012 +2022-03-14 02:45:51,361 - mmseg - INFO - Iter [13200/160000] lr: 1.317e-06, eta: 1 day, 11:50:09, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3647, decode.acc_seg: 66.6757, aux.loss_ce: 0.2106, aux.acc_seg: 63.7831, loss: 0.5753 +2022-03-14 02:46:34,850 - mmseg - INFO - Iter [13250/160000] lr: 1.317e-06, eta: 1 day, 11:49:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3780, decode.acc_seg: 69.5814, aux.loss_ce: 0.2166, aux.acc_seg: 66.6107, loss: 0.5946 +2022-03-14 02:47:18,406 - mmseg - INFO - Iter [13300/160000] lr: 1.316e-06, eta: 1 day, 11:48:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3804, decode.acc_seg: 68.4794, aux.loss_ce: 0.2224, aux.acc_seg: 65.2193, loss: 0.6028 +2022-03-14 02:48:02,068 - mmseg - INFO - Iter [13350/160000] lr: 1.316e-06, eta: 1 day, 11:47:45, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3867, decode.acc_seg: 69.0479, aux.loss_ce: 0.2167, aux.acc_seg: 66.2916, loss: 0.6034 +2022-03-14 02:48:45,547 - mmseg - INFO - Iter [13400/160000] lr: 1.316e-06, eta: 1 day, 11:46:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3797, decode.acc_seg: 67.5541, aux.loss_ce: 0.2209, aux.acc_seg: 64.4434, loss: 0.6006 +2022-03-14 02:49:29,156 - mmseg - INFO - Iter [13450/160000] lr: 1.315e-06, eta: 1 day, 11:46:09, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3894, decode.acc_seg: 68.6245, aux.loss_ce: 0.2243, aux.acc_seg: 65.4356, loss: 0.6137 +2022-03-14 02:50:12,581 - mmseg - INFO - Iter [13500/160000] lr: 1.315e-06, eta: 1 day, 11:45:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3710, decode.acc_seg: 68.4339, aux.loss_ce: 0.2101, aux.acc_seg: 65.5802, loss: 0.5812 +2022-03-14 02:50:56,268 - mmseg - INFO - Iter [13550/160000] lr: 1.314e-06, eta: 1 day, 11:44:33, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4013, decode.acc_seg: 70.1886, aux.loss_ce: 0.2257, aux.acc_seg: 67.2131, loss: 0.6270 +2022-03-14 02:51:39,754 - mmseg - INFO - Iter [13600/160000] lr: 1.314e-06, eta: 1 day, 11:43:44, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.4159, decode.acc_seg: 67.4677, aux.loss_ce: 0.2295, aux.acc_seg: 64.2783, loss: 0.6454 +2022-03-14 02:52:23,400 - mmseg - INFO - Iter [13650/160000] lr: 1.313e-06, eta: 1 day, 11:42:57, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3859, decode.acc_seg: 69.2987, aux.loss_ce: 0.2182, aux.acc_seg: 66.4668, loss: 0.6041 +2022-03-14 02:53:06,830 - mmseg - INFO - Iter [13700/160000] lr: 1.313e-06, eta: 1 day, 11:42:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3710, decode.acc_seg: 69.2747, aux.loss_ce: 0.2121, aux.acc_seg: 66.3629, loss: 0.5831 +2022-03-14 02:53:50,515 - mmseg - INFO - Iter [13750/160000] lr: 1.312e-06, eta: 1 day, 11:41:21, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3802, decode.acc_seg: 69.5746, aux.loss_ce: 0.2154, aux.acc_seg: 66.6556, loss: 0.5956 +2022-03-14 02:54:34,057 - mmseg - INFO - Iter [13800/160000] lr: 1.312e-06, eta: 1 day, 11:40:33, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3684, decode.acc_seg: 67.0408, aux.loss_ce: 0.2087, aux.acc_seg: 64.0206, loss: 0.5771 +2022-03-14 02:55:17,617 - mmseg - INFO - Iter [13850/160000] lr: 1.312e-06, eta: 1 day, 11:39:46, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3932, decode.acc_seg: 67.9339, aux.loss_ce: 0.2216, aux.acc_seg: 65.0129, loss: 0.6148 +2022-03-14 02:56:03,666 - mmseg - INFO - Iter [13900/160000] lr: 1.311e-06, eta: 1 day, 11:39:24, time: 0.921, data_time: 0.054, memory: 73034, decode.loss_ce: 0.3850, decode.acc_seg: 68.5366, aux.loss_ce: 0.2179, aux.acc_seg: 65.7734, loss: 0.6029 +2022-03-14 02:56:47,140 - mmseg - INFO - Iter [13950/160000] lr: 1.311e-06, eta: 1 day, 11:38:35, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3552, decode.acc_seg: 68.7153, aux.loss_ce: 0.2000, aux.acc_seg: 66.0912, loss: 0.5552 +2022-03-14 02:57:30,695 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 02:57:30,703 - mmseg - INFO - Iter [14000/160000] lr: 1.310e-06, eta: 1 day, 11:37:48, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3489, decode.acc_seg: 69.9963, aux.loss_ce: 0.2047, aux.acc_seg: 67.2638, loss: 0.5536 +2022-03-14 02:58:14,457 - mmseg - INFO - Iter [14050/160000] lr: 1.310e-06, eta: 1 day, 11:37:02, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3647, decode.acc_seg: 69.1485, aux.loss_ce: 0.2040, aux.acc_seg: 66.4200, loss: 0.5688 +2022-03-14 02:58:57,897 - mmseg - INFO - Iter [14100/160000] lr: 1.309e-06, eta: 1 day, 11:36:13, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3719, decode.acc_seg: 68.9171, aux.loss_ce: 0.2156, aux.acc_seg: 65.6961, loss: 0.5875 +2022-03-14 02:59:41,546 - mmseg - INFO - Iter [14150/160000] lr: 1.309e-06, eta: 1 day, 11:35:26, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3962, decode.acc_seg: 68.2119, aux.loss_ce: 0.2276, aux.acc_seg: 65.0345, loss: 0.6238 +2022-03-14 03:00:25,203 - mmseg - INFO - Iter [14200/160000] lr: 1.308e-06, eta: 1 day, 11:34:39, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3657, decode.acc_seg: 68.8285, aux.loss_ce: 0.2095, aux.acc_seg: 65.6615, loss: 0.5752 +2022-03-14 03:01:08,655 - mmseg - INFO - Iter [14250/160000] lr: 1.308e-06, eta: 1 day, 11:33:51, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3671, decode.acc_seg: 69.7053, aux.loss_ce: 0.2101, aux.acc_seg: 66.7083, loss: 0.5772 +2022-03-14 03:01:52,115 - mmseg - INFO - Iter [14300/160000] lr: 1.307e-06, eta: 1 day, 11:33:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3510, decode.acc_seg: 70.0188, aux.loss_ce: 0.2051, aux.acc_seg: 66.6876, loss: 0.5560 +2022-03-14 03:02:35,759 - mmseg - INFO - Iter [14350/160000] lr: 1.307e-06, eta: 1 day, 11:32:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3688, decode.acc_seg: 69.7391, aux.loss_ce: 0.2101, aux.acc_seg: 66.7134, loss: 0.5789 +2022-03-14 03:03:19,389 - mmseg - INFO - Iter [14400/160000] lr: 1.307e-06, eta: 1 day, 11:31:28, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3630, decode.acc_seg: 68.9162, aux.loss_ce: 0.2079, aux.acc_seg: 65.6944, loss: 0.5709 +2022-03-14 03:04:02,704 - mmseg - INFO - Iter [14450/160000] lr: 1.306e-06, eta: 1 day, 11:30:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3454, decode.acc_seg: 70.0166, aux.loss_ce: 0.2001, aux.acc_seg: 67.2665, loss: 0.5456 +2022-03-14 03:04:46,186 - mmseg - INFO - Iter [14500/160000] lr: 1.306e-06, eta: 1 day, 11:29:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3679, decode.acc_seg: 69.6837, aux.loss_ce: 0.2093, aux.acc_seg: 67.0092, loss: 0.5772 +2022-03-14 03:05:29,811 - mmseg - INFO - Iter [14550/160000] lr: 1.305e-06, eta: 1 day, 11:29:03, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3572, decode.acc_seg: 70.4292, aux.loss_ce: 0.2039, aux.acc_seg: 67.7568, loss: 0.5611 +2022-03-14 03:06:13,375 - mmseg - INFO - Iter [14600/160000] lr: 1.305e-06, eta: 1 day, 11:28:16, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3632, decode.acc_seg: 70.1353, aux.loss_ce: 0.2062, aux.acc_seg: 67.4389, loss: 0.5693 +2022-03-14 03:06:57,024 - mmseg - INFO - Iter [14650/160000] lr: 1.304e-06, eta: 1 day, 11:27:29, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3638, decode.acc_seg: 68.6963, aux.loss_ce: 0.2045, aux.acc_seg: 66.0306, loss: 0.5683 +2022-03-14 03:07:40,667 - mmseg - INFO - Iter [14700/160000] lr: 1.304e-06, eta: 1 day, 11:26:43, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3736, decode.acc_seg: 69.7248, aux.loss_ce: 0.2087, aux.acc_seg: 67.0236, loss: 0.5822 +2022-03-14 03:08:24,395 - mmseg - INFO - Iter [14750/160000] lr: 1.303e-06, eta: 1 day, 11:25:57, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3726, decode.acc_seg: 69.6035, aux.loss_ce: 0.2058, aux.acc_seg: 67.2357, loss: 0.5784 +2022-03-14 03:09:07,768 - mmseg - INFO - Iter [14800/160000] lr: 1.303e-06, eta: 1 day, 11:25:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3618, decode.acc_seg: 69.0082, aux.loss_ce: 0.2010, aux.acc_seg: 66.7582, loss: 0.5628 +2022-03-14 03:09:51,156 - mmseg - INFO - Iter [14850/160000] lr: 1.303e-06, eta: 1 day, 11:24:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3653, decode.acc_seg: 69.1628, aux.loss_ce: 0.2131, aux.acc_seg: 65.6639, loss: 0.5783 +2022-03-14 03:10:35,079 - mmseg - INFO - Iter [14900/160000] lr: 1.302e-06, eta: 1 day, 11:23:35, time: 0.879, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3623, decode.acc_seg: 70.3594, aux.loss_ce: 0.1989, aux.acc_seg: 67.7905, loss: 0.5612 +2022-03-14 03:11:18,437 - mmseg - INFO - Iter [14950/160000] lr: 1.302e-06, eta: 1 day, 11:22:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3668, decode.acc_seg: 70.0841, aux.loss_ce: 0.2056, aux.acc_seg: 67.3453, loss: 0.5724 +2022-03-14 03:12:02,093 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 03:12:02,096 - mmseg - INFO - Iter [15000/160000] lr: 1.301e-06, eta: 1 day, 11:22:00, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3710, decode.acc_seg: 70.3630, aux.loss_ce: 0.2079, aux.acc_seg: 67.9864, loss: 0.5790 +2022-03-14 03:12:45,526 - mmseg - INFO - Iter [15050/160000] lr: 1.301e-06, eta: 1 day, 11:21:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3742, decode.acc_seg: 69.2744, aux.loss_ce: 0.2052, aux.acc_seg: 67.0268, loss: 0.5794 +2022-03-14 03:13:29,169 - mmseg - INFO - Iter [15100/160000] lr: 1.300e-06, eta: 1 day, 11:20:25, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3526, decode.acc_seg: 69.0887, aux.loss_ce: 0.1988, aux.acc_seg: 66.6500, loss: 0.5514 +2022-03-14 03:14:12,643 - mmseg - INFO - Iter [15150/160000] lr: 1.300e-06, eta: 1 day, 11:19:37, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3602, decode.acc_seg: 69.4971, aux.loss_ce: 0.1999, aux.acc_seg: 66.9796, loss: 0.5600 +2022-03-14 03:14:58,913 - mmseg - INFO - Iter [15200/160000] lr: 1.299e-06, eta: 1 day, 11:19:16, time: 0.925, data_time: 0.051, memory: 73034, decode.loss_ce: 0.3329, decode.acc_seg: 69.8198, aux.loss_ce: 0.1891, aux.acc_seg: 67.1786, loss: 0.5220 +2022-03-14 03:15:42,543 - mmseg - INFO - Iter [15250/160000] lr: 1.299e-06, eta: 1 day, 11:18:29, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3648, decode.acc_seg: 67.9436, aux.loss_ce: 0.2024, aux.acc_seg: 65.1435, loss: 0.5673 +2022-03-14 03:16:26,238 - mmseg - INFO - Iter [15300/160000] lr: 1.299e-06, eta: 1 day, 11:17:43, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3459, decode.acc_seg: 69.9480, aux.loss_ce: 0.1994, aux.acc_seg: 66.8309, loss: 0.5453 +2022-03-14 03:17:09,921 - mmseg - INFO - Iter [15350/160000] lr: 1.298e-06, eta: 1 day, 11:16:57, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3383, decode.acc_seg: 67.8626, aux.loss_ce: 0.1961, aux.acc_seg: 64.6255, loss: 0.5344 +2022-03-14 03:17:53,818 - mmseg - INFO - Iter [15400/160000] lr: 1.298e-06, eta: 1 day, 11:16:13, time: 0.878, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3438, decode.acc_seg: 69.5115, aux.loss_ce: 0.1932, aux.acc_seg: 66.9260, loss: 0.5370 +2022-03-14 03:18:37,217 - mmseg - INFO - Iter [15450/160000] lr: 1.297e-06, eta: 1 day, 11:15:24, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3553, decode.acc_seg: 69.2705, aux.loss_ce: 0.2011, aux.acc_seg: 66.6306, loss: 0.5564 +2022-03-14 03:19:20,839 - mmseg - INFO - Iter [15500/160000] lr: 1.297e-06, eta: 1 day, 11:14:38, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3549, decode.acc_seg: 67.8622, aux.loss_ce: 0.2000, aux.acc_seg: 64.9342, loss: 0.5549 +2022-03-14 03:20:04,206 - mmseg - INFO - Iter [15550/160000] lr: 1.296e-06, eta: 1 day, 11:13:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3597, decode.acc_seg: 70.9703, aux.loss_ce: 0.2003, aux.acc_seg: 68.2416, loss: 0.5600 +2022-03-14 03:20:47,889 - mmseg - INFO - Iter [15600/160000] lr: 1.296e-06, eta: 1 day, 11:13:03, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3871, decode.acc_seg: 69.5747, aux.loss_ce: 0.2124, aux.acc_seg: 66.7833, loss: 0.5995 +2022-03-14 03:21:31,295 - mmseg - INFO - Iter [15650/160000] lr: 1.295e-06, eta: 1 day, 11:12:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3617, decode.acc_seg: 69.0964, aux.loss_ce: 0.1992, aux.acc_seg: 66.5166, loss: 0.5610 +2022-03-14 03:22:14,977 - mmseg - INFO - Iter [15700/160000] lr: 1.295e-06, eta: 1 day, 11:11:29, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3666, decode.acc_seg: 70.0624, aux.loss_ce: 0.2060, aux.acc_seg: 67.0709, loss: 0.5727 +2022-03-14 03:22:58,562 - mmseg - INFO - Iter [15750/160000] lr: 1.294e-06, eta: 1 day, 11:10:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3469, decode.acc_seg: 69.2197, aux.loss_ce: 0.1929, aux.acc_seg: 66.8120, loss: 0.5398 +2022-03-14 03:23:42,020 - mmseg - INFO - Iter [15800/160000] lr: 1.294e-06, eta: 1 day, 11:09:54, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3484, decode.acc_seg: 67.7724, aux.loss_ce: 0.1899, aux.acc_seg: 65.7667, loss: 0.5383 +2022-03-14 03:24:25,621 - mmseg - INFO - Iter [15850/160000] lr: 1.294e-06, eta: 1 day, 11:09:07, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3488, decode.acc_seg: 69.4160, aux.loss_ce: 0.1922, aux.acc_seg: 66.9526, loss: 0.5410 +2022-03-14 03:25:09,026 - mmseg - INFO - Iter [15900/160000] lr: 1.293e-06, eta: 1 day, 11:08:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3577, decode.acc_seg: 70.3968, aux.loss_ce: 0.2021, aux.acc_seg: 67.6589, loss: 0.5598 +2022-03-14 03:25:52,526 - mmseg - INFO - Iter [15950/160000] lr: 1.293e-06, eta: 1 day, 11:07:32, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3781, decode.acc_seg: 70.0305, aux.loss_ce: 0.1985, aux.acc_seg: 67.9889, loss: 0.5767 +2022-03-14 03:26:36,065 - mmseg - INFO - Saving checkpoint at 16000 iterations +2022-03-14 03:26:47,860 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 03:26:47,862 - mmseg - INFO - Iter [16000/160000] lr: 1.292e-06, eta: 1 day, 11:08:31, time: 1.107, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3314, decode.acc_seg: 69.5035, aux.loss_ce: 0.1841, aux.acc_seg: 66.9788, loss: 0.5155 +2022-03-14 03:28:53,665 - mmseg - INFO - per class results: +2022-03-14 03:28:53,674 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 79.49 | 87.75 | +| building | 83.51 | 93.91 | +| sky | 94.4 | 96.88 | +| floor | 83.4 | 89.4 | +| tree | 75.65 | 89.32 | +| ceiling | 85.18 | 91.53 | +| road | 83.27 | 92.26 | +| bed | 91.06 | 95.97 | +| windowpane | 63.69 | 78.67 | +| grass | 70.36 | 90.07 | +| cabinet | 61.25 | 72.13 | +| sidewalk | 66.79 | 78.48 | +| person | 83.87 | 92.1 | +| earth | 35.97 | 45.77 | +| door | 51.85 | 67.77 | +| table | 62.33 | 74.14 | +| mountain | 61.1 | 72.29 | +| plant | 54.45 | 64.28 | +| curtain | 77.26 | 87.79 | +| chair | 60.41 | 70.76 | +| car | 85.37 | 92.96 | +| water | 64.5 | 83.46 | +| painting | 72.36 | 90.08 | +| sofa | 75.34 | 86.92 | +| shelf | 44.47 | 60.93 | +| house | 48.75 | 59.39 | +| sea | 67.47 | 76.58 | +| mirror | 70.05 | 76.97 | +| rug | 68.17 | 78.48 | +| field | 32.13 | 42.6 | +| armchair | 53.49 | 79.92 | +| seat | 61.86 | 87.71 | +| fence | 49.34 | 66.3 | +| desk | 52.8 | 78.72 | +| rock | 56.56 | 85.43 | +| wardrobe | 55.14 | 77.95 | +| lamp | 63.38 | 76.81 | +| bathtub | 83.93 | 87.43 | +| railing | 39.53 | 52.48 | +| cushion | 60.48 | 78.04 | +| base | 46.96 | 69.71 | +| box | 33.14 | 42.52 | +| column | 52.71 | 64.5 | +| signboard | 38.35 | 47.73 | +| chest of drawers | 38.48 | 65.27 | +| counter | 45.02 | 51.52 | +| sand | 50.96 | 72.05 | +| sink | 75.38 | 82.61 | +| skyscraper | 34.05 | 35.95 | +| fireplace | 69.69 | 95.97 | +| refrigerator | 77.79 | 93.01 | +| grandstand | 58.63 | 87.29 | +| path | 25.21 | 35.21 | +| stairs | 39.64 | 48.8 | +| runway | 73.54 | 97.54 | +| case | 62.59 | 83.82 | +| pool table | 93.28 | 98.17 | +| pillow | 61.93 | 74.17 | +| screen door | 70.7 | 91.26 | +| stairway | 48.47 | 60.12 | +| river | 13.36 | 20.87 | +| bridge | 70.27 | 88.74 | +| bookcase | 37.51 | 71.64 | +| blind | 47.78 | 68.93 | +| coffee table | 54.98 | 91.45 | +| toilet | 90.03 | 95.31 | +| flower | 36.21 | 45.02 | +| book | 49.16 | 70.54 | +| hill | 10.33 | 20.08 | +| bench | 52.38 | 61.56 | +| countertop | 57.79 | 85.42 | +| stove | 78.69 | 88.98 | +| palm | 54.52 | 79.01 | +| kitchen island | 34.41 | 65.89 | +| computer | 77.17 | 94.09 | +| swivel chair | 45.85 | 78.79 | +| boat | 62.21 | 89.62 | +| bar | 58.36 | 78.05 | +| arcade machine | 87.24 | 97.06 | +| hovel | 57.58 | 72.84 | +| bus | 90.73 | 96.56 | +| towel | 66.2 | 86.26 | +| light | 52.44 | 61.24 | +| truck | 42.22 | 55.42 | +| tower | 32.8 | 63.12 | +| chandelier | 66.7 | 84.9 | +| awning | 47.95 | 58.44 | +| streetlight | 27.41 | 36.61 | +| booth | 37.59 | 46.3 | +| television receiver | 73.05 | 88.54 | +| airplane | 61.28 | 70.57 | +| dirt track | 3.36 | 12.22 | +| apparel | 44.45 | 63.68 | +| pole | 27.81 | 37.95 | +| land | 0.0 | 0.0 | +| bannister | 12.41 | 15.52 | +| escalator | 52.37 | 80.62 | +| ottoman | 51.11 | 76.88 | +| bottle | 42.79 | 71.89 | +| buffet | 47.26 | 72.56 | +| poster | 24.28 | 31.05 | +| stage | 20.1 | 32.29 | +| van | 43.18 | 59.67 | +| ship | 79.55 | 93.05 | +| fountain | 47.35 | 49.18 | +| conveyer belt | 56.23 | 98.46 | +| canopy | 47.78 | 71.13 | +| washer | 81.89 | 97.61 | +| plaything | 41.21 | 71.48 | +| swimming pool | 57.95 | 92.96 | +| stool | 45.27 | 58.84 | +| barrel | 52.77 | 69.1 | +| basket | 37.16 | 46.92 | +| waterfall | 49.85 | 56.27 | +| tent | 82.25 | 99.69 | +| bag | 21.31 | 23.98 | +| minibike | 73.34 | 89.66 | +| cradle | 75.21 | 98.81 | +| oven | 41.79 | 49.15 | +| ball | 51.38 | 59.95 | +| food | 46.84 | 52.54 | +| step | 10.22 | 11.28 | +| tank | 53.19 | 67.54 | +| trade name | 21.58 | 23.22 | +| microwave | 83.14 | 96.12 | +| pot | 48.77 | 57.76 | +| animal | 68.51 | 71.05 | +| bicycle | 59.1 | 71.23 | +| lake | 52.14 | 72.0 | +| dishwasher | 64.36 | 78.08 | +| screen | 61.44 | 88.26 | +| blanket | 9.75 | 11.34 | +| sculpture | 72.21 | 77.18 | +| hood | 56.5 | 73.95 | +| sconce | 41.28 | 47.76 | +| vase | 39.0 | 56.41 | +| traffic light | 31.42 | 53.41 | +| tray | 7.97 | 12.1 | +| ashcan | 44.33 | 65.77 | +| fan | 58.88 | 79.07 | +| pier | 38.53 | 43.31 | +| crt screen | 9.94 | 10.79 | +| plate | 53.72 | 72.75 | +| monitor | 59.54 | 80.83 | +| bulletin board | 44.33 | 48.14 | +| shower | 0.0 | 0.0 | +| radiator | 61.64 | 71.14 | +| glass | 14.18 | 14.86 | +| clock | 41.9 | 46.12 | +| flag | 63.91 | 68.26 | ++---------------------+-------+-------+ +2022-03-14 03:28:53,675 - mmseg - INFO - Summary: +2022-03-14 03:28:53,675 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 84.61 | 53.54 | 67.75 | ++-------+-------+-------+ +2022-03-14 03:28:53,681 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 03:28:53,682 - mmseg - INFO - Iter(val) [250] aAcc: 0.8461, mIoU: 0.5354, mAcc: 0.6775, IoU.wall: 0.7949, IoU.building: 0.8351, IoU.sky: 0.9440, IoU.floor: 0.8340, IoU.tree: 0.7565, IoU.ceiling: 0.8518, IoU.road: 0.8327, IoU.bed : 0.9106, IoU.windowpane: 0.6369, IoU.grass: 0.7036, IoU.cabinet: 0.6125, IoU.sidewalk: 0.6679, IoU.person: 0.8387, IoU.earth: 0.3597, IoU.door: 0.5185, IoU.table: 0.6233, IoU.mountain: 0.6110, IoU.plant: 0.5445, IoU.curtain: 0.7726, IoU.chair: 0.6041, IoU.car: 0.8537, IoU.water: 0.6450, IoU.painting: 0.7236, IoU.sofa: 0.7534, IoU.shelf: 0.4447, IoU.house: 0.4875, IoU.sea: 0.6747, IoU.mirror: 0.7005, IoU.rug: 0.6817, IoU.field: 0.3213, IoU.armchair: 0.5349, IoU.seat: 0.6186, IoU.fence: 0.4934, IoU.desk: 0.5280, IoU.rock: 0.5656, IoU.wardrobe: 0.5514, IoU.lamp: 0.6338, IoU.bathtub: 0.8393, IoU.railing: 0.3953, IoU.cushion: 0.6048, IoU.base: 0.4696, IoU.box: 0.3314, IoU.column: 0.5271, IoU.signboard: 0.3835, IoU.chest of drawers: 0.3848, IoU.counter: 0.4502, IoU.sand: 0.5096, IoU.sink: 0.7538, IoU.skyscraper: 0.3405, IoU.fireplace: 0.6969, IoU.refrigerator: 0.7779, IoU.grandstand: 0.5863, IoU.path: 0.2521, IoU.stairs: 0.3964, IoU.runway: 0.7354, IoU.case: 0.6259, IoU.pool table: 0.9328, IoU.pillow: 0.6193, IoU.screen door: 0.7070, IoU.stairway: 0.4847, IoU.river: 0.1336, IoU.bridge: 0.7027, IoU.bookcase: 0.3751, IoU.blind: 0.4778, IoU.coffee table: 0.5498, IoU.toilet: 0.9003, IoU.flower: 0.3621, IoU.book: 0.4916, IoU.hill: 0.1033, IoU.bench: 0.5238, IoU.countertop: 0.5779, IoU.stove: 0.7869, IoU.palm: 0.5452, IoU.kitchen island: 0.3441, IoU.computer: 0.7717, IoU.swivel chair: 0.4585, IoU.boat: 0.6221, IoU.bar: 0.5836, IoU.arcade machine: 0.8724, IoU.hovel: 0.5758, IoU.bus: 0.9073, IoU.towel: 0.6620, IoU.light: 0.5244, IoU.truck: 0.4222, IoU.tower: 0.3280, IoU.chandelier: 0.6670, IoU.awning: 0.4795, IoU.streetlight: 0.2741, IoU.booth: 0.3759, IoU.television receiver: 0.7305, IoU.airplane: 0.6128, IoU.dirt track: 0.0336, IoU.apparel: 0.4445, IoU.pole: 0.2781, IoU.land: 0.0000, IoU.bannister: 0.1241, IoU.escalator: 0.5237, IoU.ottoman: 0.5111, IoU.bottle: 0.4279, IoU.buffet: 0.4726, IoU.poster: 0.2428, IoU.stage: 0.2010, IoU.van: 0.4318, IoU.ship: 0.7955, IoU.fountain: 0.4735, IoU.conveyer belt: 0.5623, IoU.canopy: 0.4778, IoU.washer: 0.8189, IoU.plaything: 0.4121, IoU.swimming pool: 0.5795, IoU.stool: 0.4527, IoU.barrel: 0.5277, IoU.basket: 0.3716, IoU.waterfall: 0.4985, IoU.tent: 0.8225, IoU.bag: 0.2131, IoU.minibike: 0.7334, IoU.cradle: 0.7521, IoU.oven: 0.4179, IoU.ball: 0.5138, IoU.food: 0.4684, IoU.step: 0.1022, IoU.tank: 0.5319, IoU.trade name: 0.2158, IoU.microwave: 0.8314, IoU.pot: 0.4877, IoU.animal: 0.6851, IoU.bicycle: 0.5910, IoU.lake: 0.5214, IoU.dishwasher: 0.6436, IoU.screen: 0.6144, IoU.blanket: 0.0975, IoU.sculpture: 0.7221, IoU.hood: 0.5650, IoU.sconce: 0.4128, IoU.vase: 0.3900, IoU.traffic light: 0.3142, IoU.tray: 0.0797, IoU.ashcan: 0.4433, IoU.fan: 0.5888, IoU.pier: 0.3853, IoU.crt screen: 0.0994, IoU.plate: 0.5372, IoU.monitor: 0.5954, IoU.bulletin board: 0.4433, IoU.shower: 0.0000, IoU.radiator: 0.6164, IoU.glass: 0.1418, IoU.clock: 0.4190, IoU.flag: 0.6391, Acc.wall: 0.8775, Acc.building: 0.9391, Acc.sky: 0.9688, Acc.floor: 0.8940, Acc.tree: 0.8932, Acc.ceiling: 0.9153, Acc.road: 0.9226, Acc.bed : 0.9597, Acc.windowpane: 0.7867, Acc.grass: 0.9007, Acc.cabinet: 0.7213, Acc.sidewalk: 0.7848, Acc.person: 0.9210, Acc.earth: 0.4577, Acc.door: 0.6777, Acc.table: 0.7414, Acc.mountain: 0.7229, Acc.plant: 0.6428, Acc.curtain: 0.8779, Acc.chair: 0.7076, Acc.car: 0.9296, Acc.water: 0.8346, Acc.painting: 0.9008, Acc.sofa: 0.8692, Acc.shelf: 0.6093, Acc.house: 0.5939, Acc.sea: 0.7658, Acc.mirror: 0.7697, Acc.rug: 0.7848, Acc.field: 0.4260, Acc.armchair: 0.7992, Acc.seat: 0.8771, Acc.fence: 0.6630, Acc.desk: 0.7872, Acc.rock: 0.8543, Acc.wardrobe: 0.7795, Acc.lamp: 0.7681, Acc.bathtub: 0.8743, Acc.railing: 0.5248, Acc.cushion: 0.7804, Acc.base: 0.6971, Acc.box: 0.4252, Acc.column: 0.6450, Acc.signboard: 0.4773, Acc.chest of drawers: 0.6527, Acc.counter: 0.5152, Acc.sand: 0.7205, Acc.sink: 0.8261, Acc.skyscraper: 0.3595, Acc.fireplace: 0.9597, Acc.refrigerator: 0.9301, Acc.grandstand: 0.8729, Acc.path: 0.3521, Acc.stairs: 0.4880, Acc.runway: 0.9754, Acc.case: 0.8382, Acc.pool table: 0.9817, Acc.pillow: 0.7417, Acc.screen door: 0.9126, Acc.stairway: 0.6012, Acc.river: 0.2087, Acc.bridge: 0.8874, Acc.bookcase: 0.7164, Acc.blind: 0.6893, Acc.coffee table: 0.9145, Acc.toilet: 0.9531, Acc.flower: 0.4502, Acc.book: 0.7054, Acc.hill: 0.2008, Acc.bench: 0.6156, Acc.countertop: 0.8542, Acc.stove: 0.8898, Acc.palm: 0.7901, Acc.kitchen island: 0.6589, Acc.computer: 0.9409, Acc.swivel chair: 0.7879, Acc.boat: 0.8962, Acc.bar: 0.7805, Acc.arcade machine: 0.9706, Acc.hovel: 0.7284, Acc.bus: 0.9656, Acc.towel: 0.8626, Acc.light: 0.6124, Acc.truck: 0.5542, Acc.tower: 0.6312, Acc.chandelier: 0.8490, Acc.awning: 0.5844, Acc.streetlight: 0.3661, Acc.booth: 0.4630, Acc.television receiver: 0.8854, Acc.airplane: 0.7057, Acc.dirt track: 0.1222, Acc.apparel: 0.6368, Acc.pole: 0.3795, Acc.land: 0.0000, Acc.bannister: 0.1552, Acc.escalator: 0.8062, Acc.ottoman: 0.7688, Acc.bottle: 0.7189, Acc.buffet: 0.7256, Acc.poster: 0.3105, Acc.stage: 0.3229, Acc.van: 0.5967, Acc.ship: 0.9305, Acc.fountain: 0.4918, Acc.conveyer belt: 0.9846, Acc.canopy: 0.7113, Acc.washer: 0.9761, Acc.plaything: 0.7148, Acc.swimming pool: 0.9296, Acc.stool: 0.5884, Acc.barrel: 0.6910, Acc.basket: 0.4692, Acc.waterfall: 0.5627, Acc.tent: 0.9969, Acc.bag: 0.2398, Acc.minibike: 0.8966, Acc.cradle: 0.9881, Acc.oven: 0.4915, Acc.ball: 0.5995, Acc.food: 0.5254, Acc.step: 0.1128, Acc.tank: 0.6754, Acc.trade name: 0.2322, Acc.microwave: 0.9612, Acc.pot: 0.5776, Acc.animal: 0.7105, Acc.bicycle: 0.7123, Acc.lake: 0.7200, Acc.dishwasher: 0.7808, Acc.screen: 0.8826, Acc.blanket: 0.1134, Acc.sculpture: 0.7718, Acc.hood: 0.7395, Acc.sconce: 0.4776, Acc.vase: 0.5641, Acc.traffic light: 0.5341, Acc.tray: 0.1210, Acc.ashcan: 0.6577, Acc.fan: 0.7907, Acc.pier: 0.4331, Acc.crt screen: 0.1079, Acc.plate: 0.7275, Acc.monitor: 0.8083, Acc.bulletin board: 0.4814, Acc.shower: 0.0000, Acc.radiator: 0.7114, Acc.glass: 0.1486, Acc.clock: 0.4612, Acc.flag: 0.6826 +2022-03-14 03:29:37,465 - mmseg - INFO - Iter [16050/160000] lr: 1.292e-06, eta: 1 day, 11:26:34, time: 3.392, data_time: 2.521, memory: 73034, decode.loss_ce: 0.3594, decode.acc_seg: 68.7757, aux.loss_ce: 0.1942, aux.acc_seg: 66.3434, loss: 0.5535 +2022-03-14 03:30:20,996 - mmseg - INFO - Iter [16100/160000] lr: 1.291e-06, eta: 1 day, 11:25:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3514, decode.acc_seg: 68.8495, aux.loss_ce: 0.1947, aux.acc_seg: 66.3111, loss: 0.5461 +2022-03-14 03:31:04,309 - mmseg - INFO - Iter [16150/160000] lr: 1.291e-06, eta: 1 day, 11:24:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3499, decode.acc_seg: 70.1212, aux.loss_ce: 0.1875, aux.acc_seg: 68.2419, loss: 0.5375 +2022-03-14 03:31:47,706 - mmseg - INFO - Iter [16200/160000] lr: 1.290e-06, eta: 1 day, 11:23:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3650, decode.acc_seg: 70.7364, aux.loss_ce: 0.2024, aux.acc_seg: 68.1627, loss: 0.5674 +2022-03-14 03:32:31,180 - mmseg - INFO - Iter [16250/160000] lr: 1.290e-06, eta: 1 day, 11:23:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3415, decode.acc_seg: 70.1487, aux.loss_ce: 0.1860, aux.acc_seg: 67.5876, loss: 0.5276 +2022-03-14 03:33:14,764 - mmseg - INFO - Iter [16300/160000] lr: 1.290e-06, eta: 1 day, 11:22:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3773, decode.acc_seg: 69.7230, aux.loss_ce: 0.2026, aux.acc_seg: 67.4713, loss: 0.5799 +2022-03-14 03:33:58,415 - mmseg - INFO - Iter [16350/160000] lr: 1.289e-06, eta: 1 day, 11:21:24, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3581, decode.acc_seg: 69.3428, aux.loss_ce: 0.1914, aux.acc_seg: 66.9633, loss: 0.5494 +2022-03-14 03:34:41,846 - mmseg - INFO - Iter [16400/160000] lr: 1.289e-06, eta: 1 day, 11:20:33, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3575, decode.acc_seg: 69.8030, aux.loss_ce: 0.1925, aux.acc_seg: 67.4157, loss: 0.5500 +2022-03-14 03:35:27,835 - mmseg - INFO - Iter [16450/160000] lr: 1.288e-06, eta: 1 day, 11:20:02, time: 0.918, data_time: 0.051, memory: 73034, decode.loss_ce: 0.3567, decode.acc_seg: 70.1083, aux.loss_ce: 0.1948, aux.acc_seg: 67.5558, loss: 0.5516 +2022-03-14 03:36:11,117 - mmseg - INFO - Iter [16500/160000] lr: 1.288e-06, eta: 1 day, 11:19:10, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3362, decode.acc_seg: 69.9023, aux.loss_ce: 0.1866, aux.acc_seg: 67.5444, loss: 0.5228 +2022-03-14 03:36:54,439 - mmseg - INFO - Iter [16550/160000] lr: 1.287e-06, eta: 1 day, 11:18:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3551, decode.acc_seg: 71.3058, aux.loss_ce: 0.1987, aux.acc_seg: 68.6796, loss: 0.5538 +2022-03-14 03:37:37,875 - mmseg - INFO - Iter [16600/160000] lr: 1.287e-06, eta: 1 day, 11:17:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3398, decode.acc_seg: 70.0538, aux.loss_ce: 0.1902, aux.acc_seg: 67.1332, loss: 0.5300 +2022-03-14 03:38:21,319 - mmseg - INFO - Iter [16650/160000] lr: 1.286e-06, eta: 1 day, 11:16:33, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3315, decode.acc_seg: 70.3623, aux.loss_ce: 0.1875, aux.acc_seg: 67.6284, loss: 0.5190 +2022-03-14 03:39:04,887 - mmseg - INFO - Iter [16700/160000] lr: 1.286e-06, eta: 1 day, 11:15:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3525, decode.acc_seg: 70.0224, aux.loss_ce: 0.1986, aux.acc_seg: 67.0949, loss: 0.5511 +2022-03-14 03:39:48,301 - mmseg - INFO - Iter [16750/160000] lr: 1.285e-06, eta: 1 day, 11:14:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3144, decode.acc_seg: 71.1982, aux.loss_ce: 0.1764, aux.acc_seg: 68.7431, loss: 0.4908 +2022-03-14 03:40:31,734 - mmseg - INFO - Iter [16800/160000] lr: 1.285e-06, eta: 1 day, 11:13:59, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3317, decode.acc_seg: 71.5970, aux.loss_ce: 0.1891, aux.acc_seg: 68.8380, loss: 0.5207 +2022-03-14 03:41:15,374 - mmseg - INFO - Iter [16850/160000] lr: 1.285e-06, eta: 1 day, 11:13:10, time: 0.873, data_time: 0.009, memory: 73034, decode.loss_ce: 0.3200, decode.acc_seg: 70.8316, aux.loss_ce: 0.1787, aux.acc_seg: 68.4482, loss: 0.4987 +2022-03-14 03:41:59,092 - mmseg - INFO - Iter [16900/160000] lr: 1.284e-06, eta: 1 day, 11:12:21, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3421, decode.acc_seg: 69.8294, aux.loss_ce: 0.1833, aux.acc_seg: 67.6047, loss: 0.5254 +2022-03-14 03:42:42,687 - mmseg - INFO - Iter [16950/160000] lr: 1.284e-06, eta: 1 day, 11:11:31, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3249, decode.acc_seg: 69.9119, aux.loss_ce: 0.1849, aux.acc_seg: 67.1557, loss: 0.5098 +2022-03-14 03:43:26,119 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 03:43:26,121 - mmseg - INFO - Iter [17000/160000] lr: 1.283e-06, eta: 1 day, 11:10:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3398, decode.acc_seg: 69.8621, aux.loss_ce: 0.1879, aux.acc_seg: 67.2613, loss: 0.5277 +2022-03-14 03:44:09,763 - mmseg - INFO - Iter [17050/160000] lr: 1.283e-06, eta: 1 day, 11:09:49, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3268, decode.acc_seg: 71.3582, aux.loss_ce: 0.1771, aux.acc_seg: 69.3272, loss: 0.5039 +2022-03-14 03:44:53,174 - mmseg - INFO - Iter [17100/160000] lr: 1.282e-06, eta: 1 day, 11:08:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3326, decode.acc_seg: 69.9683, aux.loss_ce: 0.1844, aux.acc_seg: 67.6638, loss: 0.5169 +2022-03-14 03:45:36,725 - mmseg - INFO - Iter [17150/160000] lr: 1.282e-06, eta: 1 day, 11:08:08, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3400, decode.acc_seg: 70.7113, aux.loss_ce: 0.1837, aux.acc_seg: 68.6031, loss: 0.5238 +2022-03-14 03:46:20,396 - mmseg - INFO - Iter [17200/160000] lr: 1.281e-06, eta: 1 day, 11:07:18, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3599, decode.acc_seg: 70.2113, aux.loss_ce: 0.1910, aux.acc_seg: 68.3727, loss: 0.5509 +2022-03-14 03:47:03,804 - mmseg - INFO - Iter [17250/160000] lr: 1.281e-06, eta: 1 day, 11:06:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3532, decode.acc_seg: 70.9802, aux.loss_ce: 0.1915, aux.acc_seg: 68.3675, loss: 0.5447 +2022-03-14 03:47:47,100 - mmseg - INFO - Iter [17300/160000] lr: 1.281e-06, eta: 1 day, 11:05:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3502, decode.acc_seg: 69.6200, aux.loss_ce: 0.1884, aux.acc_seg: 67.2979, loss: 0.5386 +2022-03-14 03:48:30,600 - mmseg - INFO - Iter [17350/160000] lr: 1.280e-06, eta: 1 day, 11:04:44, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3289, decode.acc_seg: 68.1955, aux.loss_ce: 0.1838, aux.acc_seg: 65.4367, loss: 0.5126 +2022-03-14 03:49:13,828 - mmseg - INFO - Iter [17400/160000] lr: 1.280e-06, eta: 1 day, 11:03:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3363, decode.acc_seg: 67.7724, aux.loss_ce: 0.1741, aux.acc_seg: 66.1232, loss: 0.5104 +2022-03-14 03:49:57,119 - mmseg - INFO - Iter [17450/160000] lr: 1.279e-06, eta: 1 day, 11:02:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3475, decode.acc_seg: 69.7080, aux.loss_ce: 0.1901, aux.acc_seg: 66.8038, loss: 0.5377 +2022-03-14 03:50:40,706 - mmseg - INFO - Iter [17500/160000] lr: 1.279e-06, eta: 1 day, 11:02:09, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3026, decode.acc_seg: 69.4026, aux.loss_ce: 0.1654, aux.acc_seg: 67.2546, loss: 0.4680 +2022-03-14 03:51:24,305 - mmseg - INFO - Iter [17550/160000] lr: 1.278e-06, eta: 1 day, 11:01:20, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3410, decode.acc_seg: 71.2910, aux.loss_ce: 0.1825, aux.acc_seg: 68.8280, loss: 0.5236 +2022-03-14 03:52:07,744 - mmseg - INFO - Iter [17600/160000] lr: 1.278e-06, eta: 1 day, 11:00:29, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3327, decode.acc_seg: 70.6927, aux.loss_ce: 0.1810, aux.acc_seg: 68.5285, loss: 0.5137 +2022-03-14 03:52:51,187 - mmseg - INFO - Iter [17650/160000] lr: 1.277e-06, eta: 1 day, 10:59:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3321, decode.acc_seg: 71.8835, aux.loss_ce: 0.1778, aux.acc_seg: 69.7914, loss: 0.5098 +2022-03-14 03:53:37,259 - mmseg - INFO - Iter [17700/160000] lr: 1.277e-06, eta: 1 day, 10:59:09, time: 0.922, data_time: 0.058, memory: 73034, decode.loss_ce: 0.3433, decode.acc_seg: 69.4004, aux.loss_ce: 0.1832, aux.acc_seg: 67.3104, loss: 0.5264 +2022-03-14 03:54:20,580 - mmseg - INFO - Iter [17750/160000] lr: 1.277e-06, eta: 1 day, 10:58:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3394, decode.acc_seg: 69.7032, aux.loss_ce: 0.1852, aux.acc_seg: 67.0747, loss: 0.5246 +2022-03-14 03:55:04,132 - mmseg - INFO - Iter [17800/160000] lr: 1.276e-06, eta: 1 day, 10:57:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3183, decode.acc_seg: 70.3700, aux.loss_ce: 0.1762, aux.acc_seg: 67.8555, loss: 0.4944 +2022-03-14 03:55:47,552 - mmseg - INFO - Iter [17850/160000] lr: 1.276e-06, eta: 1 day, 10:56:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3235, decode.acc_seg: 70.8835, aux.loss_ce: 0.1769, aux.acc_seg: 68.4162, loss: 0.5004 +2022-03-14 03:56:31,044 - mmseg - INFO - Iter [17900/160000] lr: 1.275e-06, eta: 1 day, 10:55:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3438, decode.acc_seg: 69.9389, aux.loss_ce: 0.1848, aux.acc_seg: 67.7736, loss: 0.5286 +2022-03-14 03:57:14,377 - mmseg - INFO - Iter [17950/160000] lr: 1.275e-06, eta: 1 day, 10:54:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3407, decode.acc_seg: 71.7400, aux.loss_ce: 0.1848, aux.acc_seg: 69.1962, loss: 0.5255 +2022-03-14 03:57:58,066 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 03:57:58,070 - mmseg - INFO - Iter [18000/160000] lr: 1.274e-06, eta: 1 day, 10:54:06, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3307, decode.acc_seg: 71.5032, aux.loss_ce: 0.1842, aux.acc_seg: 68.8263, loss: 0.5149 +2022-03-14 03:58:41,368 - mmseg - INFO - Iter [18050/160000] lr: 1.274e-06, eta: 1 day, 10:53:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3315, decode.acc_seg: 70.3419, aux.loss_ce: 0.1811, aux.acc_seg: 67.9750, loss: 0.5126 +2022-03-14 03:59:24,686 - mmseg - INFO - Iter [18100/160000] lr: 1.273e-06, eta: 1 day, 10:52:23, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3186, decode.acc_seg: 71.0494, aux.loss_ce: 0.1707, aux.acc_seg: 69.0500, loss: 0.4893 +2022-03-14 04:00:08,375 - mmseg - INFO - Iter [18150/160000] lr: 1.273e-06, eta: 1 day, 10:51:34, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2858, decode.acc_seg: 69.2160, aux.loss_ce: 0.1601, aux.acc_seg: 67.1289, loss: 0.4458 +2022-03-14 04:00:51,822 - mmseg - INFO - Iter [18200/160000] lr: 1.272e-06, eta: 1 day, 10:50:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3380, decode.acc_seg: 70.2048, aux.loss_ce: 0.1854, aux.acc_seg: 67.6234, loss: 0.5235 +2022-03-14 04:01:35,582 - mmseg - INFO - Iter [18250/160000] lr: 1.272e-06, eta: 1 day, 10:49:56, time: 0.877, data_time: 0.008, memory: 73034, decode.loss_ce: 0.3130, decode.acc_seg: 70.2810, aux.loss_ce: 0.1740, aux.acc_seg: 67.8155, loss: 0.4870 +2022-03-14 04:02:19,191 - mmseg - INFO - Iter [18300/160000] lr: 1.272e-06, eta: 1 day, 10:49:07, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3272, decode.acc_seg: 71.2330, aux.loss_ce: 0.1770, aux.acc_seg: 69.2987, loss: 0.5042 +2022-03-14 04:03:02,987 - mmseg - INFO - Iter [18350/160000] lr: 1.271e-06, eta: 1 day, 10:48:19, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3289, decode.acc_seg: 69.9834, aux.loss_ce: 0.1766, aux.acc_seg: 67.8009, loss: 0.5054 +2022-03-14 04:03:46,574 - mmseg - INFO - Iter [18400/160000] lr: 1.271e-06, eta: 1 day, 10:47:30, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3211, decode.acc_seg: 71.0527, aux.loss_ce: 0.1728, aux.acc_seg: 69.2552, loss: 0.4939 +2022-03-14 04:04:29,953 - mmseg - INFO - Iter [18450/160000] lr: 1.270e-06, eta: 1 day, 10:46:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3284, decode.acc_seg: 69.0264, aux.loss_ce: 0.1754, aux.acc_seg: 66.9405, loss: 0.5038 +2022-03-14 04:05:13,648 - mmseg - INFO - Iter [18500/160000] lr: 1.270e-06, eta: 1 day, 10:45:50, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3307, decode.acc_seg: 70.4076, aux.loss_ce: 0.1790, aux.acc_seg: 67.9609, loss: 0.5096 +2022-03-14 04:05:57,019 - mmseg - INFO - Iter [18550/160000] lr: 1.269e-06, eta: 1 day, 10:45:00, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3347, decode.acc_seg: 71.0370, aux.loss_ce: 0.1782, aux.acc_seg: 69.0130, loss: 0.5129 +2022-03-14 04:06:40,376 - mmseg - INFO - Iter [18600/160000] lr: 1.269e-06, eta: 1 day, 10:44:10, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3430, decode.acc_seg: 69.7530, aux.loss_ce: 0.1782, aux.acc_seg: 67.8409, loss: 0.5212 +2022-03-14 04:07:24,088 - mmseg - INFO - Iter [18650/160000] lr: 1.268e-06, eta: 1 day, 10:43:21, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3310, decode.acc_seg: 70.2144, aux.loss_ce: 0.1777, aux.acc_seg: 68.1390, loss: 0.5087 +2022-03-14 04:08:07,664 - mmseg - INFO - Iter [18700/160000] lr: 1.268e-06, eta: 1 day, 10:42:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3338, decode.acc_seg: 68.7222, aux.loss_ce: 0.1797, aux.acc_seg: 66.5333, loss: 0.5135 +2022-03-14 04:08:51,407 - mmseg - INFO - Iter [18750/160000] lr: 1.268e-06, eta: 1 day, 10:41:45, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3140, decode.acc_seg: 70.2199, aux.loss_ce: 0.1703, aux.acc_seg: 68.1842, loss: 0.4843 +2022-03-14 04:09:34,958 - mmseg - INFO - Iter [18800/160000] lr: 1.267e-06, eta: 1 day, 10:40:55, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3634, decode.acc_seg: 70.6343, aux.loss_ce: 0.1950, aux.acc_seg: 68.3408, loss: 0.5584 +2022-03-14 04:10:18,579 - mmseg - INFO - Iter [18850/160000] lr: 1.267e-06, eta: 1 day, 10:40:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3370, decode.acc_seg: 69.4177, aux.loss_ce: 0.1785, aux.acc_seg: 67.4584, loss: 0.5155 +2022-03-14 04:11:02,014 - mmseg - INFO - Iter [18900/160000] lr: 1.266e-06, eta: 1 day, 10:39:17, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3255, decode.acc_seg: 70.2709, aux.loss_ce: 0.1792, aux.acc_seg: 67.9584, loss: 0.5047 +2022-03-14 04:11:47,934 - mmseg - INFO - Iter [18950/160000] lr: 1.266e-06, eta: 1 day, 10:38:45, time: 0.919, data_time: 0.050, memory: 73034, decode.loss_ce: 0.3326, decode.acc_seg: 70.7572, aux.loss_ce: 0.1792, aux.acc_seg: 68.6872, loss: 0.5117 +2022-03-14 04:12:31,632 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 04:12:31,637 - mmseg - INFO - Iter [19000/160000] lr: 1.265e-06, eta: 1 day, 10:37:57, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3114, decode.acc_seg: 71.8247, aux.loss_ce: 0.1706, aux.acc_seg: 69.4280, loss: 0.4821 +2022-03-14 04:13:15,036 - mmseg - INFO - Iter [19050/160000] lr: 1.265e-06, eta: 1 day, 10:37:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3073, decode.acc_seg: 70.8016, aux.loss_ce: 0.1748, aux.acc_seg: 67.9443, loss: 0.4822 +2022-03-14 04:13:58,479 - mmseg - INFO - Iter [19100/160000] lr: 1.264e-06, eta: 1 day, 10:36:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3170, decode.acc_seg: 71.1178, aux.loss_ce: 0.1715, aux.acc_seg: 69.1371, loss: 0.4884 +2022-03-14 04:14:41,993 - mmseg - INFO - Iter [19150/160000] lr: 1.264e-06, eta: 1 day, 10:35:28, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3272, decode.acc_seg: 70.0532, aux.loss_ce: 0.1762, aux.acc_seg: 67.3841, loss: 0.5034 +2022-03-14 04:15:25,507 - mmseg - INFO - Iter [19200/160000] lr: 1.264e-06, eta: 1 day, 10:34:39, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3211, decode.acc_seg: 71.3973, aux.loss_ce: 0.1733, aux.acc_seg: 68.9552, loss: 0.4944 +2022-03-14 04:16:09,000 - mmseg - INFO - Iter [19250/160000] lr: 1.263e-06, eta: 1 day, 10:33:49, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3242, decode.acc_seg: 69.6402, aux.loss_ce: 0.1746, aux.acc_seg: 67.3572, loss: 0.4988 +2022-03-14 04:16:52,532 - mmseg - INFO - Iter [19300/160000] lr: 1.263e-06, eta: 1 day, 10:33:00, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3311, decode.acc_seg: 71.2950, aux.loss_ce: 0.1831, aux.acc_seg: 68.7593, loss: 0.5143 +2022-03-14 04:17:35,913 - mmseg - INFO - Iter [19350/160000] lr: 1.262e-06, eta: 1 day, 10:32:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3060, decode.acc_seg: 69.5145, aux.loss_ce: 0.1626, aux.acc_seg: 67.5795, loss: 0.4686 +2022-03-14 04:18:19,296 - mmseg - INFO - Iter [19400/160000] lr: 1.262e-06, eta: 1 day, 10:31:20, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3107, decode.acc_seg: 70.5550, aux.loss_ce: 0.1677, aux.acc_seg: 68.5007, loss: 0.4783 +2022-03-14 04:19:02,651 - mmseg - INFO - Iter [19450/160000] lr: 1.261e-06, eta: 1 day, 10:30:29, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3249, decode.acc_seg: 70.6839, aux.loss_ce: 0.1772, aux.acc_seg: 68.3308, loss: 0.5020 +2022-03-14 04:19:45,908 - mmseg - INFO - Iter [19500/160000] lr: 1.261e-06, eta: 1 day, 10:29:39, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3050, decode.acc_seg: 71.7646, aux.loss_ce: 0.1617, aux.acc_seg: 70.0467, loss: 0.4667 +2022-03-14 04:20:29,239 - mmseg - INFO - Iter [19550/160000] lr: 1.260e-06, eta: 1 day, 10:28:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3259, decode.acc_seg: 69.7123, aux.loss_ce: 0.1737, aux.acc_seg: 67.8595, loss: 0.4996 +2022-03-14 04:21:12,691 - mmseg - INFO - Iter [19600/160000] lr: 1.260e-06, eta: 1 day, 10:27:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3076, decode.acc_seg: 70.3855, aux.loss_ce: 0.1676, aux.acc_seg: 68.2725, loss: 0.4752 +2022-03-14 04:21:56,103 - mmseg - INFO - Iter [19650/160000] lr: 1.259e-06, eta: 1 day, 10:27:09, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3206, decode.acc_seg: 70.2365, aux.loss_ce: 0.1709, aux.acc_seg: 68.1271, loss: 0.4915 +2022-03-14 04:22:39,456 - mmseg - INFO - Iter [19700/160000] lr: 1.259e-06, eta: 1 day, 10:26:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3027, decode.acc_seg: 69.8955, aux.loss_ce: 0.1596, aux.acc_seg: 68.3332, loss: 0.4623 +2022-03-14 04:23:23,123 - mmseg - INFO - Iter [19750/160000] lr: 1.259e-06, eta: 1 day, 10:25:31, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3066, decode.acc_seg: 71.0100, aux.loss_ce: 0.1667, aux.acc_seg: 68.8709, loss: 0.4733 +2022-03-14 04:24:06,525 - mmseg - INFO - Iter [19800/160000] lr: 1.258e-06, eta: 1 day, 10:24:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3474, decode.acc_seg: 70.1338, aux.loss_ce: 0.1840, aux.acc_seg: 68.1817, loss: 0.5314 +2022-03-14 04:24:49,874 - mmseg - INFO - Iter [19850/160000] lr: 1.258e-06, eta: 1 day, 10:23:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3058, decode.acc_seg: 70.6173, aux.loss_ce: 0.1632, aux.acc_seg: 68.5723, loss: 0.4690 +2022-03-14 04:25:33,599 - mmseg - INFO - Iter [19900/160000] lr: 1.257e-06, eta: 1 day, 10:23:04, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3226, decode.acc_seg: 72.0412, aux.loss_ce: 0.1704, aux.acc_seg: 69.9743, loss: 0.4930 +2022-03-14 04:26:16,981 - mmseg - INFO - Iter [19950/160000] lr: 1.257e-06, eta: 1 day, 10:22:14, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3125, decode.acc_seg: 70.5333, aux.loss_ce: 0.1685, aux.acc_seg: 68.5484, loss: 0.4810 +2022-03-14 04:27:00,318 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 04:27:00,322 - mmseg - INFO - Iter [20000/160000] lr: 1.256e-06, eta: 1 day, 10:21:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3140, decode.acc_seg: 70.7212, aux.loss_ce: 0.1681, aux.acc_seg: 68.8198, loss: 0.4821 +2022-03-14 04:27:43,793 - mmseg - INFO - Iter [20050/160000] lr: 1.256e-06, eta: 1 day, 10:20:35, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3048, decode.acc_seg: 70.9198, aux.loss_ce: 0.1626, aux.acc_seg: 69.0171, loss: 0.4674 +2022-03-14 04:28:27,481 - mmseg - INFO - Iter [20100/160000] lr: 1.255e-06, eta: 1 day, 10:19:47, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3039, decode.acc_seg: 70.8934, aux.loss_ce: 0.1617, aux.acc_seg: 68.9815, loss: 0.4656 +2022-03-14 04:29:10,810 - mmseg - INFO - Iter [20150/160000] lr: 1.255e-06, eta: 1 day, 10:18:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3367, decode.acc_seg: 70.6769, aux.loss_ce: 0.1740, aux.acc_seg: 69.0060, loss: 0.5107 +2022-03-14 04:29:54,301 - mmseg - INFO - Iter [20200/160000] lr: 1.255e-06, eta: 1 day, 10:18:09, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3293, decode.acc_seg: 71.0486, aux.loss_ce: 0.1733, aux.acc_seg: 69.0829, loss: 0.5026 +2022-03-14 04:30:40,315 - mmseg - INFO - Iter [20250/160000] lr: 1.254e-06, eta: 1 day, 10:17:37, time: 0.920, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2950, decode.acc_seg: 70.8860, aux.loss_ce: 0.1585, aux.acc_seg: 68.9639, loss: 0.4535 +2022-03-14 04:31:23,740 - mmseg - INFO - Iter [20300/160000] lr: 1.254e-06, eta: 1 day, 10:16:48, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3251, decode.acc_seg: 71.4891, aux.loss_ce: 0.1762, aux.acc_seg: 68.9487, loss: 0.5013 +2022-03-14 04:32:07,074 - mmseg - INFO - Iter [20350/160000] lr: 1.253e-06, eta: 1 day, 10:15:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2959, decode.acc_seg: 71.4036, aux.loss_ce: 0.1610, aux.acc_seg: 69.5993, loss: 0.4569 +2022-03-14 04:32:50,488 - mmseg - INFO - Iter [20400/160000] lr: 1.253e-06, eta: 1 day, 10:15:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3150, decode.acc_seg: 71.2316, aux.loss_ce: 0.1659, aux.acc_seg: 69.3097, loss: 0.4809 +2022-03-14 04:33:34,149 - mmseg - INFO - Iter [20450/160000] lr: 1.252e-06, eta: 1 day, 10:14:21, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2853, decode.acc_seg: 71.1404, aux.loss_ce: 0.1575, aux.acc_seg: 68.9635, loss: 0.4428 +2022-03-14 04:34:17,516 - mmseg - INFO - Iter [20500/160000] lr: 1.252e-06, eta: 1 day, 10:13:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3228, decode.acc_seg: 71.6485, aux.loss_ce: 0.1743, aux.acc_seg: 69.3831, loss: 0.4971 +2022-03-14 04:35:00,771 - mmseg - INFO - Iter [20550/160000] lr: 1.251e-06, eta: 1 day, 10:12:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3100, decode.acc_seg: 70.2405, aux.loss_ce: 0.1672, aux.acc_seg: 67.9565, loss: 0.4772 +2022-03-14 04:35:44,006 - mmseg - INFO - Iter [20600/160000] lr: 1.251e-06, eta: 1 day, 10:11:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2923, decode.acc_seg: 71.6251, aux.loss_ce: 0.1552, aux.acc_seg: 69.8393, loss: 0.4475 +2022-03-14 04:36:27,388 - mmseg - INFO - Iter [20650/160000] lr: 1.250e-06, eta: 1 day, 10:11:01, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3265, decode.acc_seg: 70.4294, aux.loss_ce: 0.1704, aux.acc_seg: 68.7342, loss: 0.4969 +2022-03-14 04:37:10,811 - mmseg - INFO - Iter [20700/160000] lr: 1.250e-06, eta: 1 day, 10:10:12, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2985, decode.acc_seg: 71.2138, aux.loss_ce: 0.1612, aux.acc_seg: 69.2186, loss: 0.4596 +2022-03-14 04:37:54,682 - mmseg - INFO - Iter [20750/160000] lr: 1.250e-06, eta: 1 day, 10:09:26, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3167, decode.acc_seg: 70.4455, aux.loss_ce: 0.1680, aux.acc_seg: 68.4880, loss: 0.4848 +2022-03-14 04:38:38,064 - mmseg - INFO - Iter [20800/160000] lr: 1.249e-06, eta: 1 day, 10:08:37, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3269, decode.acc_seg: 71.0063, aux.loss_ce: 0.1738, aux.acc_seg: 68.8460, loss: 0.5008 +2022-03-14 04:39:21,540 - mmseg - INFO - Iter [20850/160000] lr: 1.249e-06, eta: 1 day, 10:07:48, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3264, decode.acc_seg: 70.9429, aux.loss_ce: 0.1724, aux.acc_seg: 68.9452, loss: 0.4987 +2022-03-14 04:40:05,168 - mmseg - INFO - Iter [20900/160000] lr: 1.248e-06, eta: 1 day, 10:07:01, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3047, decode.acc_seg: 71.5228, aux.loss_ce: 0.1641, aux.acc_seg: 69.4737, loss: 0.4688 +2022-03-14 04:40:48,573 - mmseg - INFO - Iter [20950/160000] lr: 1.248e-06, eta: 1 day, 10:06:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3144, decode.acc_seg: 70.7632, aux.loss_ce: 0.1679, aux.acc_seg: 68.9712, loss: 0.4823 +2022-03-14 04:41:31,933 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 04:41:31,939 - mmseg - INFO - Iter [21000/160000] lr: 1.247e-06, eta: 1 day, 10:05:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3164, decode.acc_seg: 70.2543, aux.loss_ce: 0.1682, aux.acc_seg: 68.2699, loss: 0.4846 +2022-03-14 04:42:15,492 - mmseg - INFO - Iter [21050/160000] lr: 1.247e-06, eta: 1 day, 10:04:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3216, decode.acc_seg: 72.5045, aux.loss_ce: 0.1697, aux.acc_seg: 70.5738, loss: 0.4913 +2022-03-14 04:42:58,966 - mmseg - INFO - Iter [21100/160000] lr: 1.246e-06, eta: 1 day, 10:03:46, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3210, decode.acc_seg: 70.8933, aux.loss_ce: 0.1696, aux.acc_seg: 69.0648, loss: 0.4906 +2022-03-14 04:43:42,345 - mmseg - INFO - Iter [21150/160000] lr: 1.246e-06, eta: 1 day, 10:02:56, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3059, decode.acc_seg: 70.8888, aux.loss_ce: 0.1653, aux.acc_seg: 68.5166, loss: 0.4711 +2022-03-14 04:44:25,970 - mmseg - INFO - Iter [21200/160000] lr: 1.246e-06, eta: 1 day, 10:02:09, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3193, decode.acc_seg: 70.2436, aux.loss_ce: 0.1711, aux.acc_seg: 68.0418, loss: 0.4905 +2022-03-14 04:45:09,222 - mmseg - INFO - Iter [21250/160000] lr: 1.245e-06, eta: 1 day, 10:01:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3193, decode.acc_seg: 70.6330, aux.loss_ce: 0.1736, aux.acc_seg: 68.7090, loss: 0.4929 +2022-03-14 04:45:52,832 - mmseg - INFO - Iter [21300/160000] lr: 1.245e-06, eta: 1 day, 10:00:31, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3262, decode.acc_seg: 70.9388, aux.loss_ce: 0.1708, aux.acc_seg: 69.1484, loss: 0.4970 +2022-03-14 04:46:36,178 - mmseg - INFO - Iter [21350/160000] lr: 1.244e-06, eta: 1 day, 9:59:42, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3133, decode.acc_seg: 71.3589, aux.loss_ce: 0.1633, aux.acc_seg: 69.5444, loss: 0.4766 +2022-03-14 04:47:19,720 - mmseg - INFO - Iter [21400/160000] lr: 1.244e-06, eta: 1 day, 9:58:54, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3036, decode.acc_seg: 70.9716, aux.loss_ce: 0.1581, aux.acc_seg: 69.4878, loss: 0.4617 +2022-03-14 04:48:03,269 - mmseg - INFO - Iter [21450/160000] lr: 1.243e-06, eta: 1 day, 9:58:06, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3115, decode.acc_seg: 70.6441, aux.loss_ce: 0.1648, aux.acc_seg: 68.5131, loss: 0.4763 +2022-03-14 04:48:49,368 - mmseg - INFO - Iter [21500/160000] lr: 1.243e-06, eta: 1 day, 9:57:34, time: 0.920, data_time: 0.053, memory: 73034, decode.loss_ce: 0.3161, decode.acc_seg: 70.1297, aux.loss_ce: 0.1640, aux.acc_seg: 68.4238, loss: 0.4801 +2022-03-14 04:49:32,853 - mmseg - INFO - Iter [21550/160000] lr: 1.242e-06, eta: 1 day, 9:56:46, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.3100, decode.acc_seg: 71.9791, aux.loss_ce: 0.1656, aux.acc_seg: 69.8654, loss: 0.4757 +2022-03-14 04:50:16,260 - mmseg - INFO - Iter [21600/160000] lr: 1.242e-06, eta: 1 day, 9:55:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3108, decode.acc_seg: 70.6257, aux.loss_ce: 0.1645, aux.acc_seg: 68.4467, loss: 0.4753 +2022-03-14 04:50:59,552 - mmseg - INFO - Iter [21650/160000] lr: 1.242e-06, eta: 1 day, 9:55:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2938, decode.acc_seg: 72.1309, aux.loss_ce: 0.1563, aux.acc_seg: 70.0492, loss: 0.4501 +2022-03-14 04:51:42,823 - mmseg - INFO - Iter [21700/160000] lr: 1.241e-06, eta: 1 day, 9:54:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3094, decode.acc_seg: 69.3213, aux.loss_ce: 0.1643, aux.acc_seg: 67.2555, loss: 0.4737 +2022-03-14 04:52:26,392 - mmseg - INFO - Iter [21750/160000] lr: 1.241e-06, eta: 1 day, 9:53:31, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2845, decode.acc_seg: 72.5490, aux.loss_ce: 0.1537, aux.acc_seg: 70.6375, loss: 0.4383 +2022-03-14 04:53:09,878 - mmseg - INFO - Iter [21800/160000] lr: 1.240e-06, eta: 1 day, 9:52:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3062, decode.acc_seg: 70.5728, aux.loss_ce: 0.1669, aux.acc_seg: 68.3529, loss: 0.4732 +2022-03-14 04:53:53,364 - mmseg - INFO - Iter [21850/160000] lr: 1.240e-06, eta: 1 day, 9:51:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2999, decode.acc_seg: 70.5411, aux.loss_ce: 0.1587, aux.acc_seg: 68.6931, loss: 0.4586 +2022-03-14 04:54:36,887 - mmseg - INFO - Iter [21900/160000] lr: 1.239e-06, eta: 1 day, 9:51:07, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2896, decode.acc_seg: 71.0577, aux.loss_ce: 0.1528, aux.acc_seg: 69.0500, loss: 0.4424 +2022-03-14 04:55:20,317 - mmseg - INFO - Iter [21950/160000] lr: 1.239e-06, eta: 1 day, 9:50:18, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2859, decode.acc_seg: 70.6929, aux.loss_ce: 0.1511, aux.acc_seg: 68.7860, loss: 0.4370 +2022-03-14 04:56:03,675 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 04:56:03,679 - mmseg - INFO - Iter [22000/160000] lr: 1.238e-06, eta: 1 day, 9:49:29, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2972, decode.acc_seg: 69.6300, aux.loss_ce: 0.1602, aux.acc_seg: 67.7450, loss: 0.4575 +2022-03-14 04:56:47,286 - mmseg - INFO - Iter [22050/160000] lr: 1.238e-06, eta: 1 day, 9:48:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3027, decode.acc_seg: 70.9585, aux.loss_ce: 0.1573, aux.acc_seg: 69.3155, loss: 0.4600 +2022-03-14 04:57:30,637 - mmseg - INFO - Iter [22100/160000] lr: 1.237e-06, eta: 1 day, 9:47:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2869, decode.acc_seg: 70.5079, aux.loss_ce: 0.1540, aux.acc_seg: 68.6683, loss: 0.4408 +2022-03-14 04:58:13,887 - mmseg - INFO - Iter [22150/160000] lr: 1.237e-06, eta: 1 day, 9:47:03, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3020, decode.acc_seg: 71.2773, aux.loss_ce: 0.1622, aux.acc_seg: 68.9787, loss: 0.4643 +2022-03-14 04:58:57,336 - mmseg - INFO - Iter [22200/160000] lr: 1.237e-06, eta: 1 day, 9:46:15, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3058, decode.acc_seg: 70.9409, aux.loss_ce: 0.1591, aux.acc_seg: 69.2578, loss: 0.4649 +2022-03-14 04:59:40,799 - mmseg - INFO - Iter [22250/160000] lr: 1.236e-06, eta: 1 day, 9:45:27, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.3103, decode.acc_seg: 71.7508, aux.loss_ce: 0.1655, aux.acc_seg: 69.8075, loss: 0.4758 +2022-03-14 05:00:24,441 - mmseg - INFO - Iter [22300/160000] lr: 1.236e-06, eta: 1 day, 9:44:40, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3012, decode.acc_seg: 71.2721, aux.loss_ce: 0.1613, aux.acc_seg: 69.0739, loss: 0.4625 +2022-03-14 05:01:07,990 - mmseg - INFO - Iter [22350/160000] lr: 1.235e-06, eta: 1 day, 9:43:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2966, decode.acc_seg: 71.9444, aux.loss_ce: 0.1575, aux.acc_seg: 70.1864, loss: 0.4541 +2022-03-14 05:01:51,419 - mmseg - INFO - Iter [22400/160000] lr: 1.235e-06, eta: 1 day, 9:43:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2954, decode.acc_seg: 72.0202, aux.loss_ce: 0.1545, aux.acc_seg: 70.2007, loss: 0.4499 +2022-03-14 05:02:34,982 - mmseg - INFO - Iter [22450/160000] lr: 1.234e-06, eta: 1 day, 9:42:17, time: 0.873, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2976, decode.acc_seg: 72.7314, aux.loss_ce: 0.1527, aux.acc_seg: 71.2506, loss: 0.4502 +2022-03-14 05:03:18,649 - mmseg - INFO - Iter [22500/160000] lr: 1.234e-06, eta: 1 day, 9:41:30, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2959, decode.acc_seg: 69.5554, aux.loss_ce: 0.1556, aux.acc_seg: 67.8079, loss: 0.4515 +2022-03-14 05:04:01,884 - mmseg - INFO - Iter [22550/160000] lr: 1.233e-06, eta: 1 day, 9:40:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3013, decode.acc_seg: 71.6595, aux.loss_ce: 0.1611, aux.acc_seg: 69.6802, loss: 0.4624 +2022-03-14 05:04:45,296 - mmseg - INFO - Iter [22600/160000] lr: 1.233e-06, eta: 1 day, 9:39:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3045, decode.acc_seg: 70.1927, aux.loss_ce: 0.1567, aux.acc_seg: 68.6129, loss: 0.4612 +2022-03-14 05:05:28,829 - mmseg - INFO - Iter [22650/160000] lr: 1.233e-06, eta: 1 day, 9:39:05, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3009, decode.acc_seg: 71.8414, aux.loss_ce: 0.1550, aux.acc_seg: 70.1958, loss: 0.4559 +2022-03-14 05:06:12,157 - mmseg - INFO - Iter [22700/160000] lr: 1.232e-06, eta: 1 day, 9:38:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3094, decode.acc_seg: 70.9806, aux.loss_ce: 0.1616, aux.acc_seg: 69.1775, loss: 0.4711 +2022-03-14 05:06:57,994 - mmseg - INFO - Iter [22750/160000] lr: 1.232e-06, eta: 1 day, 9:37:42, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2988, decode.acc_seg: 71.0085, aux.loss_ce: 0.1589, aux.acc_seg: 68.9400, loss: 0.4577 +2022-03-14 05:07:41,593 - mmseg - INFO - Iter [22800/160000] lr: 1.231e-06, eta: 1 day, 9:36:55, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3045, decode.acc_seg: 71.4873, aux.loss_ce: 0.1592, aux.acc_seg: 69.4656, loss: 0.4637 +2022-03-14 05:08:25,050 - mmseg - INFO - Iter [22850/160000] lr: 1.231e-06, eta: 1 day, 9:36:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2990, decode.acc_seg: 71.6999, aux.loss_ce: 0.1592, aux.acc_seg: 69.8070, loss: 0.4582 +2022-03-14 05:09:08,443 - mmseg - INFO - Iter [22900/160000] lr: 1.230e-06, eta: 1 day, 9:35:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2872, decode.acc_seg: 72.4169, aux.loss_ce: 0.1561, aux.acc_seg: 70.3457, loss: 0.4433 +2022-03-14 05:09:52,018 - mmseg - INFO - Iter [22950/160000] lr: 1.230e-06, eta: 1 day, 9:34:32, time: 0.872, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2717, decode.acc_seg: 71.3438, aux.loss_ce: 0.1448, aux.acc_seg: 69.3786, loss: 0.4165 +2022-03-14 05:10:35,458 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 05:10:35,473 - mmseg - INFO - Iter [23000/160000] lr: 1.229e-06, eta: 1 day, 9:33:44, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2912, decode.acc_seg: 70.8610, aux.loss_ce: 0.1596, aux.acc_seg: 68.5652, loss: 0.4508 +2022-03-14 05:11:19,093 - mmseg - INFO - Iter [23050/160000] lr: 1.229e-06, eta: 1 day, 9:32:57, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2953, decode.acc_seg: 71.8958, aux.loss_ce: 0.1554, aux.acc_seg: 70.1146, loss: 0.4507 +2022-03-14 05:12:02,426 - mmseg - INFO - Iter [23100/160000] lr: 1.229e-06, eta: 1 day, 9:32:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2850, decode.acc_seg: 71.2483, aux.loss_ce: 0.1488, aux.acc_seg: 69.5546, loss: 0.4338 +2022-03-14 05:12:45,875 - mmseg - INFO - Iter [23150/160000] lr: 1.228e-06, eta: 1 day, 9:31:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2673, decode.acc_seg: 69.8298, aux.loss_ce: 0.1441, aux.acc_seg: 67.9726, loss: 0.4114 +2022-03-14 05:13:29,247 - mmseg - INFO - Iter [23200/160000] lr: 1.228e-06, eta: 1 day, 9:30:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2857, decode.acc_seg: 71.3069, aux.loss_ce: 0.1507, aux.acc_seg: 69.4148, loss: 0.4364 +2022-03-14 05:14:12,671 - mmseg - INFO - Iter [23250/160000] lr: 1.227e-06, eta: 1 day, 9:29:44, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2883, decode.acc_seg: 72.0399, aux.loss_ce: 0.1539, aux.acc_seg: 70.1849, loss: 0.4422 +2022-03-14 05:14:55,965 - mmseg - INFO - Iter [23300/160000] lr: 1.227e-06, eta: 1 day, 9:28:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2923, decode.acc_seg: 71.7070, aux.loss_ce: 0.1545, aux.acc_seg: 69.8490, loss: 0.4469 +2022-03-14 05:15:39,393 - mmseg - INFO - Iter [23350/160000] lr: 1.226e-06, eta: 1 day, 9:28:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2980, decode.acc_seg: 72.4856, aux.loss_ce: 0.1550, aux.acc_seg: 70.4951, loss: 0.4529 +2022-03-14 05:16:22,893 - mmseg - INFO - Iter [23400/160000] lr: 1.226e-06, eta: 1 day, 9:27:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3069, decode.acc_seg: 71.1706, aux.loss_ce: 0.1626, aux.acc_seg: 69.3567, loss: 0.4695 +2022-03-14 05:17:06,264 - mmseg - INFO - Iter [23450/160000] lr: 1.225e-06, eta: 1 day, 9:26:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3017, decode.acc_seg: 71.1615, aux.loss_ce: 0.1595, aux.acc_seg: 69.3922, loss: 0.4612 +2022-03-14 05:17:49,681 - mmseg - INFO - Iter [23500/160000] lr: 1.225e-06, eta: 1 day, 9:25:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3175, decode.acc_seg: 71.5236, aux.loss_ce: 0.1668, aux.acc_seg: 69.5688, loss: 0.4843 +2022-03-14 05:18:33,036 - mmseg - INFO - Iter [23550/160000] lr: 1.224e-06, eta: 1 day, 9:24:55, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2879, decode.acc_seg: 71.3673, aux.loss_ce: 0.1523, aux.acc_seg: 69.7216, loss: 0.4401 +2022-03-14 05:19:16,461 - mmseg - INFO - Iter [23600/160000] lr: 1.224e-06, eta: 1 day, 9:24:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3037, decode.acc_seg: 72.5196, aux.loss_ce: 0.1583, aux.acc_seg: 70.7777, loss: 0.4620 +2022-03-14 05:20:00,115 - mmseg - INFO - Iter [23650/160000] lr: 1.224e-06, eta: 1 day, 9:23:21, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3000, decode.acc_seg: 73.3596, aux.loss_ce: 0.1582, aux.acc_seg: 71.3763, loss: 0.4582 +2022-03-14 05:20:43,468 - mmseg - INFO - Iter [23700/160000] lr: 1.223e-06, eta: 1 day, 9:22:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2996, decode.acc_seg: 71.2448, aux.loss_ce: 0.1606, aux.acc_seg: 69.4029, loss: 0.4602 +2022-03-14 05:21:26,776 - mmseg - INFO - Iter [23750/160000] lr: 1.223e-06, eta: 1 day, 9:21:44, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2839, decode.acc_seg: 70.9583, aux.loss_ce: 0.1493, aux.acc_seg: 69.0053, loss: 0.4332 +2022-03-14 05:22:10,320 - mmseg - INFO - Iter [23800/160000] lr: 1.222e-06, eta: 1 day, 9:20:57, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2982, decode.acc_seg: 70.3328, aux.loss_ce: 0.1529, aux.acc_seg: 68.5692, loss: 0.4511 +2022-03-14 05:22:53,714 - mmseg - INFO - Iter [23850/160000] lr: 1.222e-06, eta: 1 day, 9:20:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2994, decode.acc_seg: 72.9415, aux.loss_ce: 0.1575, aux.acc_seg: 71.2500, loss: 0.4569 +2022-03-14 05:23:37,158 - mmseg - INFO - Iter [23900/160000] lr: 1.221e-06, eta: 1 day, 9:19:21, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2906, decode.acc_seg: 71.4744, aux.loss_ce: 0.1514, aux.acc_seg: 69.7997, loss: 0.4420 +2022-03-14 05:24:20,731 - mmseg - INFO - Iter [23950/160000] lr: 1.221e-06, eta: 1 day, 9:18:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2898, decode.acc_seg: 71.1010, aux.loss_ce: 0.1523, aux.acc_seg: 69.4839, loss: 0.4421 +2022-03-14 05:25:06,783 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 05:25:06,786 - mmseg - INFO - Iter [24000/160000] lr: 1.220e-06, eta: 1 day, 9:18:01, time: 0.921, data_time: 0.053, memory: 73034, decode.loss_ce: 0.2794, decode.acc_seg: 71.3513, aux.loss_ce: 0.1519, aux.acc_seg: 69.1790, loss: 0.4313 +2022-03-14 05:25:50,434 - mmseg - INFO - Iter [24050/160000] lr: 1.220e-06, eta: 1 day, 9:17:15, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2661, decode.acc_seg: 71.3960, aux.loss_ce: 0.1423, aux.acc_seg: 69.7387, loss: 0.4084 +2022-03-14 05:26:34,003 - mmseg - INFO - Iter [24100/160000] lr: 1.220e-06, eta: 1 day, 9:16:28, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2783, decode.acc_seg: 71.7076, aux.loss_ce: 0.1480, aux.acc_seg: 69.7981, loss: 0.4264 +2022-03-14 05:27:17,438 - mmseg - INFO - Iter [24150/160000] lr: 1.219e-06, eta: 1 day, 9:15:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2742, decode.acc_seg: 72.0420, aux.loss_ce: 0.1480, aux.acc_seg: 70.1156, loss: 0.4222 +2022-03-14 05:28:00,781 - mmseg - INFO - Iter [24200/160000] lr: 1.219e-06, eta: 1 day, 9:14:52, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2685, decode.acc_seg: 72.1950, aux.loss_ce: 0.1462, aux.acc_seg: 69.9502, loss: 0.4147 +2022-03-14 05:28:44,195 - mmseg - INFO - Iter [24250/160000] lr: 1.218e-06, eta: 1 day, 9:14:04, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2844, decode.acc_seg: 72.4235, aux.loss_ce: 0.1506, aux.acc_seg: 70.6161, loss: 0.4350 +2022-03-14 05:29:27,577 - mmseg - INFO - Iter [24300/160000] lr: 1.218e-06, eta: 1 day, 9:13:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2803, decode.acc_seg: 72.2109, aux.loss_ce: 0.1494, aux.acc_seg: 70.2676, loss: 0.4297 +2022-03-14 05:30:11,056 - mmseg - INFO - Iter [24350/160000] lr: 1.217e-06, eta: 1 day, 9:12:29, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2873, decode.acc_seg: 72.2326, aux.loss_ce: 0.1517, aux.acc_seg: 70.4259, loss: 0.4389 +2022-03-14 05:30:54,532 - mmseg - INFO - Iter [24400/160000] lr: 1.217e-06, eta: 1 day, 9:11:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2830, decode.acc_seg: 72.9767, aux.loss_ce: 0.1490, aux.acc_seg: 71.1280, loss: 0.4321 +2022-03-14 05:31:37,925 - mmseg - INFO - Iter [24450/160000] lr: 1.216e-06, eta: 1 day, 9:10:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2883, decode.acc_seg: 71.8062, aux.loss_ce: 0.1518, aux.acc_seg: 70.1233, loss: 0.4400 +2022-03-14 05:32:21,424 - mmseg - INFO - Iter [24500/160000] lr: 1.216e-06, eta: 1 day, 9:10:07, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2714, decode.acc_seg: 71.8970, aux.loss_ce: 0.1440, aux.acc_seg: 70.2558, loss: 0.4154 +2022-03-14 05:33:04,774 - mmseg - INFO - Iter [24550/160000] lr: 1.216e-06, eta: 1 day, 9:09:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2864, decode.acc_seg: 71.6741, aux.loss_ce: 0.1477, aux.acc_seg: 69.9852, loss: 0.4341 +2022-03-14 05:33:48,239 - mmseg - INFO - Iter [24600/160000] lr: 1.215e-06, eta: 1 day, 9:08:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2736, decode.acc_seg: 70.9591, aux.loss_ce: 0.1453, aux.acc_seg: 69.1283, loss: 0.4189 +2022-03-14 05:34:31,731 - mmseg - INFO - Iter [24650/160000] lr: 1.215e-06, eta: 1 day, 9:07:44, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2913, decode.acc_seg: 72.0311, aux.loss_ce: 0.1491, aux.acc_seg: 70.5119, loss: 0.4404 +2022-03-14 05:35:15,244 - mmseg - INFO - Iter [24700/160000] lr: 1.214e-06, eta: 1 day, 9:06:57, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2864, decode.acc_seg: 72.9469, aux.loss_ce: 0.1502, aux.acc_seg: 71.0799, loss: 0.4366 +2022-03-14 05:35:58,729 - mmseg - INFO - Iter [24750/160000] lr: 1.214e-06, eta: 1 day, 9:06:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2880, decode.acc_seg: 70.8021, aux.loss_ce: 0.1514, aux.acc_seg: 69.0800, loss: 0.4394 +2022-03-14 05:36:42,046 - mmseg - INFO - Iter [24800/160000] lr: 1.213e-06, eta: 1 day, 9:05:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2904, decode.acc_seg: 71.7550, aux.loss_ce: 0.1508, aux.acc_seg: 70.1796, loss: 0.4412 +2022-03-14 05:37:25,470 - mmseg - INFO - Iter [24850/160000] lr: 1.213e-06, eta: 1 day, 9:04:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3121, decode.acc_seg: 70.8890, aux.loss_ce: 0.1611, aux.acc_seg: 68.9820, loss: 0.4733 +2022-03-14 05:38:08,973 - mmseg - INFO - Iter [24900/160000] lr: 1.212e-06, eta: 1 day, 9:03:48, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2871, decode.acc_seg: 70.4675, aux.loss_ce: 0.1507, aux.acc_seg: 68.5269, loss: 0.4378 +2022-03-14 05:38:52,284 - mmseg - INFO - Iter [24950/160000] lr: 1.212e-06, eta: 1 day, 9:02:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2827, decode.acc_seg: 73.2504, aux.loss_ce: 0.1468, aux.acc_seg: 71.5912, loss: 0.4295 +2022-03-14 05:39:35,636 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 05:39:35,637 - mmseg - INFO - Iter [25000/160000] lr: 1.211e-06, eta: 1 day, 9:02:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2961, decode.acc_seg: 72.4416, aux.loss_ce: 0.1547, aux.acc_seg: 70.7174, loss: 0.4508 +2022-03-14 05:40:18,934 - mmseg - INFO - Iter [25050/160000] lr: 1.211e-06, eta: 1 day, 9:01:24, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.3004, decode.acc_seg: 69.8747, aux.loss_ce: 0.1540, aux.acc_seg: 67.9894, loss: 0.4544 +2022-03-14 05:41:02,364 - mmseg - INFO - Iter [25100/160000] lr: 1.211e-06, eta: 1 day, 9:00:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2757, decode.acc_seg: 69.6916, aux.loss_ce: 0.1423, aux.acc_seg: 68.0038, loss: 0.4180 +2022-03-14 05:41:45,948 - mmseg - INFO - Iter [25150/160000] lr: 1.210e-06, eta: 1 day, 8:59:50, time: 0.872, data_time: 0.004, memory: 73034, decode.loss_ce: 0.2982, decode.acc_seg: 70.3809, aux.loss_ce: 0.1542, aux.acc_seg: 68.7387, loss: 0.4524 +2022-03-14 05:42:29,340 - mmseg - INFO - Iter [25200/160000] lr: 1.210e-06, eta: 1 day, 8:59:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2859, decode.acc_seg: 70.6184, aux.loss_ce: 0.1477, aux.acc_seg: 69.1578, loss: 0.4336 +2022-03-14 05:43:12,962 - mmseg - INFO - Iter [25250/160000] lr: 1.209e-06, eta: 1 day, 8:58:16, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2774, decode.acc_seg: 71.4530, aux.loss_ce: 0.1456, aux.acc_seg: 69.7568, loss: 0.4230 +2022-03-14 05:43:58,668 - mmseg - INFO - Iter [25300/160000] lr: 1.209e-06, eta: 1 day, 8:57:41, time: 0.914, data_time: 0.051, memory: 73034, decode.loss_ce: 0.2904, decode.acc_seg: 71.6333, aux.loss_ce: 0.1561, aux.acc_seg: 69.7407, loss: 0.4465 +2022-03-14 05:44:42,288 - mmseg - INFO - Iter [25350/160000] lr: 1.208e-06, eta: 1 day, 8:56:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2794, decode.acc_seg: 72.5087, aux.loss_ce: 0.1478, aux.acc_seg: 70.7369, loss: 0.4272 +2022-03-14 05:45:25,871 - mmseg - INFO - Iter [25400/160000] lr: 1.208e-06, eta: 1 day, 8:56:08, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2722, decode.acc_seg: 71.4624, aux.loss_ce: 0.1434, aux.acc_seg: 69.5491, loss: 0.4156 +2022-03-14 05:46:09,253 - mmseg - INFO - Iter [25450/160000] lr: 1.207e-06, eta: 1 day, 8:55:20, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2846, decode.acc_seg: 72.3054, aux.loss_ce: 0.1483, aux.acc_seg: 70.7081, loss: 0.4328 +2022-03-14 05:46:52,585 - mmseg - INFO - Iter [25500/160000] lr: 1.207e-06, eta: 1 day, 8:54:32, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2719, decode.acc_seg: 72.3236, aux.loss_ce: 0.1451, aux.acc_seg: 70.6346, loss: 0.4170 +2022-03-14 05:47:36,202 - mmseg - INFO - Iter [25550/160000] lr: 1.207e-06, eta: 1 day, 8:53:46, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2718, decode.acc_seg: 72.5067, aux.loss_ce: 0.1463, aux.acc_seg: 70.4712, loss: 0.4181 +2022-03-14 05:48:19,552 - mmseg - INFO - Iter [25600/160000] lr: 1.206e-06, eta: 1 day, 8:52:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2877, decode.acc_seg: 72.2779, aux.loss_ce: 0.1464, aux.acc_seg: 70.8370, loss: 0.4341 +2022-03-14 05:49:03,040 - mmseg - INFO - Iter [25650/160000] lr: 1.206e-06, eta: 1 day, 8:52:12, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2857, decode.acc_seg: 70.9299, aux.loss_ce: 0.1514, aux.acc_seg: 68.9304, loss: 0.4371 +2022-03-14 05:49:46,268 - mmseg - INFO - Iter [25700/160000] lr: 1.205e-06, eta: 1 day, 8:51:23, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2767, decode.acc_seg: 71.7244, aux.loss_ce: 0.1465, aux.acc_seg: 70.0245, loss: 0.4233 +2022-03-14 05:50:29,727 - mmseg - INFO - Iter [25750/160000] lr: 1.205e-06, eta: 1 day, 8:50:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2811, decode.acc_seg: 73.7514, aux.loss_ce: 0.1485, aux.acc_seg: 71.8957, loss: 0.4296 +2022-03-14 05:51:13,181 - mmseg - INFO - Iter [25800/160000] lr: 1.204e-06, eta: 1 day, 8:49:49, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2726, decode.acc_seg: 70.9431, aux.loss_ce: 0.1436, aux.acc_seg: 69.1476, loss: 0.4162 +2022-03-14 05:51:56,507 - mmseg - INFO - Iter [25850/160000] lr: 1.204e-06, eta: 1 day, 8:49:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2808, decode.acc_seg: 72.5607, aux.loss_ce: 0.1451, aux.acc_seg: 70.8154, loss: 0.4259 +2022-03-14 05:52:40,053 - mmseg - INFO - Iter [25900/160000] lr: 1.203e-06, eta: 1 day, 8:48:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2597, decode.acc_seg: 72.6415, aux.loss_ce: 0.1380, aux.acc_seg: 71.0570, loss: 0.3977 +2022-03-14 05:53:23,666 - mmseg - INFO - Iter [25950/160000] lr: 1.203e-06, eta: 1 day, 8:47:29, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2827, decode.acc_seg: 71.8235, aux.loss_ce: 0.1493, aux.acc_seg: 69.8236, loss: 0.4320 +2022-03-14 05:54:07,017 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 05:54:07,022 - mmseg - INFO - Iter [26000/160000] lr: 1.202e-06, eta: 1 day, 8:46:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2937, decode.acc_seg: 70.5706, aux.loss_ce: 0.1532, aux.acc_seg: 68.7473, loss: 0.4469 +2022-03-14 05:54:50,549 - mmseg - INFO - Iter [26050/160000] lr: 1.202e-06, eta: 1 day, 8:45:54, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2766, decode.acc_seg: 72.2913, aux.loss_ce: 0.1463, aux.acc_seg: 70.3703, loss: 0.4229 +2022-03-14 05:55:33,894 - mmseg - INFO - Iter [26100/160000] lr: 1.202e-06, eta: 1 day, 8:45:07, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2752, decode.acc_seg: 72.6732, aux.loss_ce: 0.1452, aux.acc_seg: 71.0998, loss: 0.4203 +2022-03-14 05:56:17,128 - mmseg - INFO - Iter [26150/160000] lr: 1.201e-06, eta: 1 day, 8:44:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2844, decode.acc_seg: 70.7696, aux.loss_ce: 0.1483, aux.acc_seg: 68.8913, loss: 0.4327 +2022-03-14 05:57:00,519 - mmseg - INFO - Iter [26200/160000] lr: 1.201e-06, eta: 1 day, 8:43:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2839, decode.acc_seg: 71.3430, aux.loss_ce: 0.1462, aux.acc_seg: 69.9075, loss: 0.4301 +2022-03-14 05:57:44,277 - mmseg - INFO - Iter [26250/160000] lr: 1.200e-06, eta: 1 day, 8:42:46, time: 0.876, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2773, decode.acc_seg: 72.0227, aux.loss_ce: 0.1453, aux.acc_seg: 70.2900, loss: 0.4226 +2022-03-14 05:58:27,603 - mmseg - INFO - Iter [26300/160000] lr: 1.200e-06, eta: 1 day, 8:41:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2800, decode.acc_seg: 72.9309, aux.loss_ce: 0.1458, aux.acc_seg: 71.3152, loss: 0.4257 +2022-03-14 05:59:11,259 - mmseg - INFO - Iter [26350/160000] lr: 1.199e-06, eta: 1 day, 8:41:13, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2735, decode.acc_seg: 70.6540, aux.loss_ce: 0.1416, aux.acc_seg: 68.7614, loss: 0.4151 +2022-03-14 05:59:54,474 - mmseg - INFO - Iter [26400/160000] lr: 1.199e-06, eta: 1 day, 8:40:25, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2637, decode.acc_seg: 71.7952, aux.loss_ce: 0.1387, aux.acc_seg: 70.2554, loss: 0.4024 +2022-03-14 06:00:38,029 - mmseg - INFO - Iter [26450/160000] lr: 1.198e-06, eta: 1 day, 8:39:38, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2977, decode.acc_seg: 70.7953, aux.loss_ce: 0.1569, aux.acc_seg: 68.7752, loss: 0.4546 +2022-03-14 06:01:21,629 - mmseg - INFO - Iter [26500/160000] lr: 1.198e-06, eta: 1 day, 8:38:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2692, decode.acc_seg: 71.9281, aux.loss_ce: 0.1412, aux.acc_seg: 70.1760, loss: 0.4103 +2022-03-14 06:02:07,510 - mmseg - INFO - Iter [26550/160000] lr: 1.198e-06, eta: 1 day, 8:38:17, time: 0.918, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2712, decode.acc_seg: 73.1408, aux.loss_ce: 0.1406, aux.acc_seg: 71.4299, loss: 0.4118 +2022-03-14 06:02:50,844 - mmseg - INFO - Iter [26600/160000] lr: 1.197e-06, eta: 1 day, 8:37:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2674, decode.acc_seg: 71.5894, aux.loss_ce: 0.1383, aux.acc_seg: 70.0027, loss: 0.4057 +2022-03-14 06:03:34,418 - mmseg - INFO - Iter [26650/160000] lr: 1.197e-06, eta: 1 day, 8:36:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2736, decode.acc_seg: 70.8990, aux.loss_ce: 0.1434, aux.acc_seg: 69.1888, loss: 0.4170 +2022-03-14 06:04:17,696 - mmseg - INFO - Iter [26700/160000] lr: 1.196e-06, eta: 1 day, 8:35:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2862, decode.acc_seg: 71.5731, aux.loss_ce: 0.1483, aux.acc_seg: 69.7590, loss: 0.4345 +2022-03-14 06:05:01,201 - mmseg - INFO - Iter [26750/160000] lr: 1.196e-06, eta: 1 day, 8:35:09, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2608, decode.acc_seg: 71.8020, aux.loss_ce: 0.1370, aux.acc_seg: 70.3541, loss: 0.3978 +2022-03-14 06:05:44,680 - mmseg - INFO - Iter [26800/160000] lr: 1.195e-06, eta: 1 day, 8:34:23, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2568, decode.acc_seg: 72.1911, aux.loss_ce: 0.1338, aux.acc_seg: 70.5657, loss: 0.3906 +2022-03-14 06:06:28,177 - mmseg - INFO - Iter [26850/160000] lr: 1.195e-06, eta: 1 day, 8:33:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2491, decode.acc_seg: 72.4539, aux.loss_ce: 0.1330, aux.acc_seg: 70.7027, loss: 0.3821 +2022-03-14 06:07:11,629 - mmseg - INFO - Iter [26900/160000] lr: 1.194e-06, eta: 1 day, 8:32:49, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2522, decode.acc_seg: 72.4730, aux.loss_ce: 0.1330, aux.acc_seg: 70.8575, loss: 0.3852 +2022-03-14 06:07:55,059 - mmseg - INFO - Iter [26950/160000] lr: 1.194e-06, eta: 1 day, 8:32:02, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2657, decode.acc_seg: 72.9022, aux.loss_ce: 0.1447, aux.acc_seg: 70.9379, loss: 0.4104 +2022-03-14 06:08:38,675 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 06:08:38,680 - mmseg - INFO - Iter [27000/160000] lr: 1.194e-06, eta: 1 day, 8:31:16, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2689, decode.acc_seg: 71.3033, aux.loss_ce: 0.1438, aux.acc_seg: 69.3817, loss: 0.4127 +2022-03-14 06:09:22,289 - mmseg - INFO - Iter [27050/160000] lr: 1.193e-06, eta: 1 day, 8:30:30, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2738, decode.acc_seg: 71.7127, aux.loss_ce: 0.1462, aux.acc_seg: 69.8007, loss: 0.4200 +2022-03-14 06:10:05,826 - mmseg - INFO - Iter [27100/160000] lr: 1.193e-06, eta: 1 day, 8:29:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2773, decode.acc_seg: 72.0592, aux.loss_ce: 0.1455, aux.acc_seg: 70.2006, loss: 0.4228 +2022-03-14 06:10:49,409 - mmseg - INFO - Iter [27150/160000] lr: 1.192e-06, eta: 1 day, 8:28:58, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2816, decode.acc_seg: 71.3807, aux.loss_ce: 0.1455, aux.acc_seg: 69.6694, loss: 0.4271 +2022-03-14 06:11:32,886 - mmseg - INFO - Iter [27200/160000] lr: 1.192e-06, eta: 1 day, 8:28:11, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2790, decode.acc_seg: 72.0574, aux.loss_ce: 0.1445, aux.acc_seg: 70.3118, loss: 0.4235 +2022-03-14 06:12:16,312 - mmseg - INFO - Iter [27250/160000] lr: 1.191e-06, eta: 1 day, 8:27:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2815, decode.acc_seg: 70.5626, aux.loss_ce: 0.1458, aux.acc_seg: 69.0867, loss: 0.4273 +2022-03-14 06:12:59,759 - mmseg - INFO - Iter [27300/160000] lr: 1.191e-06, eta: 1 day, 8:26:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2787, decode.acc_seg: 71.5608, aux.loss_ce: 0.1397, aux.acc_seg: 70.3343, loss: 0.4184 +2022-03-14 06:13:43,330 - mmseg - INFO - Iter [27350/160000] lr: 1.190e-06, eta: 1 day, 8:25:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2701, decode.acc_seg: 71.5721, aux.loss_ce: 0.1403, aux.acc_seg: 69.9311, loss: 0.4104 +2022-03-14 06:14:26,928 - mmseg - INFO - Iter [27400/160000] lr: 1.190e-06, eta: 1 day, 8:25:06, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2798, decode.acc_seg: 72.4544, aux.loss_ce: 0.1428, aux.acc_seg: 70.9473, loss: 0.4226 +2022-03-14 06:15:10,459 - mmseg - INFO - Iter [27450/160000] lr: 1.189e-06, eta: 1 day, 8:24:19, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2706, decode.acc_seg: 73.7220, aux.loss_ce: 0.1395, aux.acc_seg: 72.2656, loss: 0.4101 +2022-03-14 06:15:54,085 - mmseg - INFO - Iter [27500/160000] lr: 1.189e-06, eta: 1 day, 8:23:33, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2736, decode.acc_seg: 72.0116, aux.loss_ce: 0.1417, aux.acc_seg: 70.3835, loss: 0.4153 +2022-03-14 06:16:37,621 - mmseg - INFO - Iter [27550/160000] lr: 1.189e-06, eta: 1 day, 8:22:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2608, decode.acc_seg: 72.8642, aux.loss_ce: 0.1369, aux.acc_seg: 71.2736, loss: 0.3977 +2022-03-14 06:17:21,105 - mmseg - INFO - Iter [27600/160000] lr: 1.188e-06, eta: 1 day, 8:22:01, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2835, decode.acc_seg: 72.1326, aux.loss_ce: 0.1481, aux.acc_seg: 70.0278, loss: 0.4316 +2022-03-14 06:18:04,490 - mmseg - INFO - Iter [27650/160000] lr: 1.188e-06, eta: 1 day, 8:21:14, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2912, decode.acc_seg: 72.0724, aux.loss_ce: 0.1490, aux.acc_seg: 70.7103, loss: 0.4402 +2022-03-14 06:18:48,146 - mmseg - INFO - Iter [27700/160000] lr: 1.187e-06, eta: 1 day, 8:20:28, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2733, decode.acc_seg: 72.9657, aux.loss_ce: 0.1395, aux.acc_seg: 71.1657, loss: 0.4128 +2022-03-14 06:19:31,601 - mmseg - INFO - Iter [27750/160000] lr: 1.187e-06, eta: 1 day, 8:19:41, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2710, decode.acc_seg: 73.0919, aux.loss_ce: 0.1374, aux.acc_seg: 71.7634, loss: 0.4084 +2022-03-14 06:20:17,686 - mmseg - INFO - Iter [27800/160000] lr: 1.186e-06, eta: 1 day, 8:19:07, time: 0.920, data_time: 0.054, memory: 73034, decode.loss_ce: 0.2553, decode.acc_seg: 71.3877, aux.loss_ce: 0.1319, aux.acc_seg: 69.9713, loss: 0.3872 +2022-03-14 06:21:00,974 - mmseg - INFO - Iter [27850/160000] lr: 1.186e-06, eta: 1 day, 8:18:20, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2824, decode.acc_seg: 72.6501, aux.loss_ce: 0.1460, aux.acc_seg: 71.0301, loss: 0.4283 +2022-03-14 06:21:44,478 - mmseg - INFO - Iter [27900/160000] lr: 1.185e-06, eta: 1 day, 8:17:33, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2686, decode.acc_seg: 71.3524, aux.loss_ce: 0.1414, aux.acc_seg: 69.6515, loss: 0.4100 +2022-03-14 06:22:27,696 - mmseg - INFO - Iter [27950/160000] lr: 1.185e-06, eta: 1 day, 8:16:46, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2571, decode.acc_seg: 72.3033, aux.loss_ce: 0.1331, aux.acc_seg: 70.9039, loss: 0.3903 +2022-03-14 06:23:11,323 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 06:23:11,326 - mmseg - INFO - Iter [28000/160000] lr: 1.185e-06, eta: 1 day, 8:16:00, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2685, decode.acc_seg: 73.5903, aux.loss_ce: 0.1405, aux.acc_seg: 71.9518, loss: 0.4090 +2022-03-14 06:23:54,709 - mmseg - INFO - Iter [28050/160000] lr: 1.184e-06, eta: 1 day, 8:15:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2725, decode.acc_seg: 72.1291, aux.loss_ce: 0.1425, aux.acc_seg: 70.5409, loss: 0.4150 +2022-03-14 06:24:38,241 - mmseg - INFO - Iter [28100/160000] lr: 1.184e-06, eta: 1 day, 8:14:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2551, decode.acc_seg: 71.8615, aux.loss_ce: 0.1335, aux.acc_seg: 70.2810, loss: 0.3886 +2022-03-14 06:25:21,732 - mmseg - INFO - Iter [28150/160000] lr: 1.183e-06, eta: 1 day, 8:13:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2679, decode.acc_seg: 72.9787, aux.loss_ce: 0.1398, aux.acc_seg: 71.2175, loss: 0.4076 +2022-03-14 06:26:05,395 - mmseg - INFO - Iter [28200/160000] lr: 1.183e-06, eta: 1 day, 8:12:55, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2457, decode.acc_seg: 72.5623, aux.loss_ce: 0.1303, aux.acc_seg: 70.9497, loss: 0.3760 +2022-03-14 06:26:48,683 - mmseg - INFO - Iter [28250/160000] lr: 1.182e-06, eta: 1 day, 8:12:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2824, decode.acc_seg: 72.5060, aux.loss_ce: 0.1474, aux.acc_seg: 70.6055, loss: 0.4298 +2022-03-14 06:27:32,222 - mmseg - INFO - Iter [28300/160000] lr: 1.182e-06, eta: 1 day, 8:11:22, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2734, decode.acc_seg: 72.4183, aux.loss_ce: 0.1438, aux.acc_seg: 70.6712, loss: 0.4172 +2022-03-14 06:28:15,621 - mmseg - INFO - Iter [28350/160000] lr: 1.181e-06, eta: 1 day, 8:10:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2600, decode.acc_seg: 71.2240, aux.loss_ce: 0.1391, aux.acc_seg: 69.3938, loss: 0.3991 +2022-03-14 06:28:59,052 - mmseg - INFO - Iter [28400/160000] lr: 1.181e-06, eta: 1 day, 8:09:48, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2844, decode.acc_seg: 72.4436, aux.loss_ce: 0.1474, aux.acc_seg: 70.7939, loss: 0.4318 +2022-03-14 06:29:42,551 - mmseg - INFO - Iter [28450/160000] lr: 1.181e-06, eta: 1 day, 8:09:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2581, decode.acc_seg: 71.6319, aux.loss_ce: 0.1367, aux.acc_seg: 69.9891, loss: 0.3948 +2022-03-14 06:30:26,115 - mmseg - INFO - Iter [28500/160000] lr: 1.180e-06, eta: 1 day, 8:08:16, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2602, decode.acc_seg: 72.1567, aux.loss_ce: 0.1354, aux.acc_seg: 70.3963, loss: 0.3956 +2022-03-14 06:31:09,407 - mmseg - INFO - Iter [28550/160000] lr: 1.180e-06, eta: 1 day, 8:07:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2709, decode.acc_seg: 71.9196, aux.loss_ce: 0.1408, aux.acc_seg: 70.3540, loss: 0.4117 +2022-03-14 06:31:52,837 - mmseg - INFO - Iter [28600/160000] lr: 1.179e-06, eta: 1 day, 8:06:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2707, decode.acc_seg: 71.5942, aux.loss_ce: 0.1403, aux.acc_seg: 70.1203, loss: 0.4110 +2022-03-14 06:32:36,137 - mmseg - INFO - Iter [28650/160000] lr: 1.179e-06, eta: 1 day, 8:05:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2472, decode.acc_seg: 72.2334, aux.loss_ce: 0.1300, aux.acc_seg: 70.4771, loss: 0.3772 +2022-03-14 06:33:19,627 - mmseg - INFO - Iter [28700/160000] lr: 1.178e-06, eta: 1 day, 8:05:09, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2645, decode.acc_seg: 71.7181, aux.loss_ce: 0.1356, aux.acc_seg: 70.2417, loss: 0.4002 +2022-03-14 06:34:03,109 - mmseg - INFO - Iter [28750/160000] lr: 1.178e-06, eta: 1 day, 8:04:22, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2550, decode.acc_seg: 73.9848, aux.loss_ce: 0.1338, aux.acc_seg: 72.4305, loss: 0.3888 +2022-03-14 06:34:46,790 - mmseg - INFO - Iter [28800/160000] lr: 1.177e-06, eta: 1 day, 8:03:37, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2774, decode.acc_seg: 71.5616, aux.loss_ce: 0.1417, aux.acc_seg: 69.9272, loss: 0.4191 +2022-03-14 06:35:30,167 - mmseg - INFO - Iter [28850/160000] lr: 1.177e-06, eta: 1 day, 8:02:50, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2603, decode.acc_seg: 71.1374, aux.loss_ce: 0.1360, aux.acc_seg: 69.3984, loss: 0.3962 +2022-03-14 06:36:13,862 - mmseg - INFO - Iter [28900/160000] lr: 1.176e-06, eta: 1 day, 8:02:05, time: 0.876, data_time: 0.010, memory: 73034, decode.loss_ce: 0.2616, decode.acc_seg: 72.7597, aux.loss_ce: 0.1353, aux.acc_seg: 71.2685, loss: 0.3969 +2022-03-14 06:36:57,652 - mmseg - INFO - Iter [28950/160000] lr: 1.176e-06, eta: 1 day, 8:01:20, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2850, decode.acc_seg: 71.6293, aux.loss_ce: 0.1477, aux.acc_seg: 70.0063, loss: 0.4326 +2022-03-14 06:37:41,319 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 06:37:41,326 - mmseg - INFO - Iter [29000/160000] lr: 1.176e-06, eta: 1 day, 8:00:35, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2754, decode.acc_seg: 71.8517, aux.loss_ce: 0.1437, aux.acc_seg: 70.1982, loss: 0.4191 +2022-03-14 06:38:27,324 - mmseg - INFO - Iter [29050/160000] lr: 1.175e-06, eta: 1 day, 8:00:00, time: 0.920, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2744, decode.acc_seg: 72.1768, aux.loss_ce: 0.1459, aux.acc_seg: 70.4272, loss: 0.4203 +2022-03-14 06:39:10,656 - mmseg - INFO - Iter [29100/160000] lr: 1.175e-06, eta: 1 day, 7:59:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2626, decode.acc_seg: 71.9482, aux.loss_ce: 0.1356, aux.acc_seg: 70.3618, loss: 0.3982 +2022-03-14 06:39:54,158 - mmseg - INFO - Iter [29150/160000] lr: 1.174e-06, eta: 1 day, 7:58:27, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2469, decode.acc_seg: 72.0981, aux.loss_ce: 0.1286, aux.acc_seg: 70.5599, loss: 0.3755 +2022-03-14 06:40:37,684 - mmseg - INFO - Iter [29200/160000] lr: 1.174e-06, eta: 1 day, 7:57:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2464, decode.acc_seg: 71.5686, aux.loss_ce: 0.1299, aux.acc_seg: 69.7441, loss: 0.3763 +2022-03-14 06:41:21,178 - mmseg - INFO - Iter [29250/160000] lr: 1.173e-06, eta: 1 day, 7:56:55, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2490, decode.acc_seg: 71.4566, aux.loss_ce: 0.1282, aux.acc_seg: 69.9196, loss: 0.3772 +2022-03-14 06:42:04,451 - mmseg - INFO - Iter [29300/160000] lr: 1.173e-06, eta: 1 day, 7:56:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2589, decode.acc_seg: 72.3771, aux.loss_ce: 0.1344, aux.acc_seg: 70.9981, loss: 0.3934 +2022-03-14 06:42:47,685 - mmseg - INFO - Iter [29350/160000] lr: 1.172e-06, eta: 1 day, 7:55:20, time: 0.865, data_time: 0.004, memory: 73034, decode.loss_ce: 0.2475, decode.acc_seg: 71.7980, aux.loss_ce: 0.1305, aux.acc_seg: 70.1969, loss: 0.3780 +2022-03-14 06:43:31,181 - mmseg - INFO - Iter [29400/160000] lr: 1.172e-06, eta: 1 day, 7:54:34, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2565, decode.acc_seg: 72.0053, aux.loss_ce: 0.1323, aux.acc_seg: 70.5302, loss: 0.3888 +2022-03-14 06:44:14,587 - mmseg - INFO - Iter [29450/160000] lr: 1.172e-06, eta: 1 day, 7:53:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2547, decode.acc_seg: 72.6025, aux.loss_ce: 0.1335, aux.acc_seg: 71.0642, loss: 0.3882 +2022-03-14 06:44:58,113 - mmseg - INFO - Iter [29500/160000] lr: 1.171e-06, eta: 1 day, 7:53:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2623, decode.acc_seg: 73.4005, aux.loss_ce: 0.1360, aux.acc_seg: 71.8256, loss: 0.3983 +2022-03-14 06:45:41,457 - mmseg - INFO - Iter [29550/160000] lr: 1.171e-06, eta: 1 day, 7:52:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2664, decode.acc_seg: 72.8615, aux.loss_ce: 0.1402, aux.acc_seg: 71.2428, loss: 0.4066 +2022-03-14 06:46:24,738 - mmseg - INFO - Iter [29600/160000] lr: 1.170e-06, eta: 1 day, 7:51:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2574, decode.acc_seg: 74.2405, aux.loss_ce: 0.1350, aux.acc_seg: 72.4868, loss: 0.3924 +2022-03-14 06:47:08,205 - mmseg - INFO - Iter [29650/160000] lr: 1.170e-06, eta: 1 day, 7:50:41, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2592, decode.acc_seg: 73.3946, aux.loss_ce: 0.1365, aux.acc_seg: 71.3270, loss: 0.3958 +2022-03-14 06:47:51,804 - mmseg - INFO - Iter [29700/160000] lr: 1.169e-06, eta: 1 day, 7:49:56, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2508, decode.acc_seg: 70.8700, aux.loss_ce: 0.1308, aux.acc_seg: 69.2580, loss: 0.3817 +2022-03-14 06:48:35,103 - mmseg - INFO - Iter [29750/160000] lr: 1.169e-06, eta: 1 day, 7:49:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2693, decode.acc_seg: 72.7541, aux.loss_ce: 0.1386, aux.acc_seg: 71.2111, loss: 0.4079 +2022-03-14 06:49:18,713 - mmseg - INFO - Iter [29800/160000] lr: 1.168e-06, eta: 1 day, 7:48:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2808, decode.acc_seg: 73.5599, aux.loss_ce: 0.1454, aux.acc_seg: 71.6979, loss: 0.4262 +2022-03-14 06:50:01,994 - mmseg - INFO - Iter [29850/160000] lr: 1.168e-06, eta: 1 day, 7:47:36, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2722, decode.acc_seg: 70.7649, aux.loss_ce: 0.1408, aux.acc_seg: 69.1954, loss: 0.4129 +2022-03-14 06:50:45,422 - mmseg - INFO - Iter [29900/160000] lr: 1.167e-06, eta: 1 day, 7:46:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2636, decode.acc_seg: 72.6094, aux.loss_ce: 0.1376, aux.acc_seg: 71.0562, loss: 0.4013 +2022-03-14 06:51:28,761 - mmseg - INFO - Iter [29950/160000] lr: 1.167e-06, eta: 1 day, 7:46:03, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2583, decode.acc_seg: 73.0364, aux.loss_ce: 0.1345, aux.acc_seg: 71.3378, loss: 0.3928 +2022-03-14 06:52:12,154 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 06:52:12,160 - mmseg - INFO - Iter [30000/160000] lr: 1.167e-06, eta: 1 day, 7:45:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2615, decode.acc_seg: 72.1718, aux.loss_ce: 0.1359, aux.acc_seg: 70.6714, loss: 0.3975 +2022-03-14 06:52:55,549 - mmseg - INFO - Iter [30050/160000] lr: 1.166e-06, eta: 1 day, 7:44:30, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2757, decode.acc_seg: 71.4290, aux.loss_ce: 0.1410, aux.acc_seg: 69.8175, loss: 0.4167 +2022-03-14 06:53:39,106 - mmseg - INFO - Iter [30100/160000] lr: 1.166e-06, eta: 1 day, 7:43:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2567, decode.acc_seg: 71.9122, aux.loss_ce: 0.1346, aux.acc_seg: 70.2382, loss: 0.3913 +2022-03-14 06:54:22,455 - mmseg - INFO - Iter [30150/160000] lr: 1.165e-06, eta: 1 day, 7:42:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2593, decode.acc_seg: 72.1366, aux.loss_ce: 0.1366, aux.acc_seg: 70.3686, loss: 0.3960 +2022-03-14 06:55:05,814 - mmseg - INFO - Iter [30200/160000] lr: 1.165e-06, eta: 1 day, 7:42:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2686, decode.acc_seg: 72.8481, aux.loss_ce: 0.1413, aux.acc_seg: 71.0752, loss: 0.4099 +2022-03-14 06:55:49,299 - mmseg - INFO - Iter [30250/160000] lr: 1.164e-06, eta: 1 day, 7:41:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2627, decode.acc_seg: 71.3354, aux.loss_ce: 0.1370, aux.acc_seg: 69.6627, loss: 0.3996 +2022-03-14 06:56:32,761 - mmseg - INFO - Iter [30300/160000] lr: 1.164e-06, eta: 1 day, 7:40:39, time: 0.871, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2574, decode.acc_seg: 71.4161, aux.loss_ce: 0.1344, aux.acc_seg: 69.8273, loss: 0.3918 +2022-03-14 06:57:18,504 - mmseg - INFO - Iter [30350/160000] lr: 1.163e-06, eta: 1 day, 7:40:03, time: 0.915, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2547, decode.acc_seg: 73.1896, aux.loss_ce: 0.1317, aux.acc_seg: 71.8451, loss: 0.3865 +2022-03-14 06:58:01,864 - mmseg - INFO - Iter [30400/160000] lr: 1.163e-06, eta: 1 day, 7:39:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2481, decode.acc_seg: 72.7170, aux.loss_ce: 0.1314, aux.acc_seg: 70.8534, loss: 0.3794 +2022-03-14 06:58:45,087 - mmseg - INFO - Iter [30450/160000] lr: 1.163e-06, eta: 1 day, 7:38:29, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2519, decode.acc_seg: 72.9860, aux.loss_ce: 0.1292, aux.acc_seg: 71.6747, loss: 0.3810 +2022-03-14 06:59:28,493 - mmseg - INFO - Iter [30500/160000] lr: 1.162e-06, eta: 1 day, 7:37:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2484, decode.acc_seg: 75.0871, aux.loss_ce: 0.1339, aux.acc_seg: 73.1336, loss: 0.3823 +2022-03-14 07:00:12,035 - mmseg - INFO - Iter [30550/160000] lr: 1.162e-06, eta: 1 day, 7:36:57, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2594, decode.acc_seg: 72.7631, aux.loss_ce: 0.1351, aux.acc_seg: 71.1514, loss: 0.3945 +2022-03-14 07:00:55,399 - mmseg - INFO - Iter [30600/160000] lr: 1.161e-06, eta: 1 day, 7:36:11, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2571, decode.acc_seg: 72.8937, aux.loss_ce: 0.1322, aux.acc_seg: 71.4596, loss: 0.3893 +2022-03-14 07:01:38,990 - mmseg - INFO - Iter [30650/160000] lr: 1.161e-06, eta: 1 day, 7:35:25, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2529, decode.acc_seg: 72.9389, aux.loss_ce: 0.1300, aux.acc_seg: 71.1838, loss: 0.3829 +2022-03-14 07:02:22,232 - mmseg - INFO - Iter [30700/160000] lr: 1.160e-06, eta: 1 day, 7:34:38, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2555, decode.acc_seg: 73.3814, aux.loss_ce: 0.1324, aux.acc_seg: 71.8466, loss: 0.3879 +2022-03-14 07:03:05,759 - mmseg - INFO - Iter [30750/160000] lr: 1.160e-06, eta: 1 day, 7:33:52, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2606, decode.acc_seg: 73.5873, aux.loss_ce: 0.1342, aux.acc_seg: 72.1912, loss: 0.3948 +2022-03-14 07:03:49,123 - mmseg - INFO - Iter [30800/160000] lr: 1.159e-06, eta: 1 day, 7:33:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2553, decode.acc_seg: 73.2292, aux.loss_ce: 0.1344, aux.acc_seg: 71.4888, loss: 0.3897 +2022-03-14 07:04:32,775 - mmseg - INFO - Iter [30850/160000] lr: 1.159e-06, eta: 1 day, 7:32:21, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2432, decode.acc_seg: 72.2734, aux.loss_ce: 0.1299, aux.acc_seg: 70.6752, loss: 0.3731 +2022-03-14 07:05:15,993 - mmseg - INFO - Iter [30900/160000] lr: 1.159e-06, eta: 1 day, 7:31:34, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2567, decode.acc_seg: 72.5629, aux.loss_ce: 0.1342, aux.acc_seg: 71.1847, loss: 0.3910 +2022-03-14 07:05:59,468 - mmseg - INFO - Iter [30950/160000] lr: 1.158e-06, eta: 1 day, 7:30:48, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2635, decode.acc_seg: 72.1044, aux.loss_ce: 0.1383, aux.acc_seg: 70.3728, loss: 0.4018 +2022-03-14 07:06:42,778 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 07:06:42,782 - mmseg - INFO - Iter [31000/160000] lr: 1.158e-06, eta: 1 day, 7:30:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2639, decode.acc_seg: 73.6645, aux.loss_ce: 0.1376, aux.acc_seg: 71.8634, loss: 0.4016 +2022-03-14 07:07:26,127 - mmseg - INFO - Iter [31050/160000] lr: 1.157e-06, eta: 1 day, 7:29:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2508, decode.acc_seg: 73.8960, aux.loss_ce: 0.1296, aux.acc_seg: 72.2992, loss: 0.3805 +2022-03-14 07:08:09,440 - mmseg - INFO - Iter [31100/160000] lr: 1.157e-06, eta: 1 day, 7:28:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2610, decode.acc_seg: 73.5424, aux.loss_ce: 0.1354, aux.acc_seg: 71.7948, loss: 0.3964 +2022-03-14 07:08:52,832 - mmseg - INFO - Iter [31150/160000] lr: 1.156e-06, eta: 1 day, 7:27:42, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2575, decode.acc_seg: 72.0489, aux.loss_ce: 0.1342, aux.acc_seg: 70.2673, loss: 0.3917 +2022-03-14 07:09:36,107 - mmseg - INFO - Iter [31200/160000] lr: 1.156e-06, eta: 1 day, 7:26:55, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2704, decode.acc_seg: 72.2892, aux.loss_ce: 0.1359, aux.acc_seg: 70.9877, loss: 0.4063 +2022-03-14 07:10:19,501 - mmseg - INFO - Iter [31250/160000] lr: 1.155e-06, eta: 1 day, 7:26:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2594, decode.acc_seg: 72.1708, aux.loss_ce: 0.1336, aux.acc_seg: 70.5185, loss: 0.3930 +2022-03-14 07:11:02,727 - mmseg - INFO - Iter [31300/160000] lr: 1.155e-06, eta: 1 day, 7:25:22, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2621, decode.acc_seg: 71.3402, aux.loss_ce: 0.1359, aux.acc_seg: 69.8547, loss: 0.3980 +2022-03-14 07:11:46,098 - mmseg - INFO - Iter [31350/160000] lr: 1.154e-06, eta: 1 day, 7:24:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2588, decode.acc_seg: 71.8258, aux.loss_ce: 0.1342, aux.acc_seg: 70.3265, loss: 0.3931 +2022-03-14 07:12:29,512 - mmseg - INFO - Iter [31400/160000] lr: 1.154e-06, eta: 1 day, 7:23:49, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2523, decode.acc_seg: 71.6947, aux.loss_ce: 0.1332, aux.acc_seg: 70.1042, loss: 0.3855 +2022-03-14 07:13:12,955 - mmseg - INFO - Iter [31450/160000] lr: 1.154e-06, eta: 1 day, 7:23:03, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2573, decode.acc_seg: 72.4580, aux.loss_ce: 0.1301, aux.acc_seg: 71.3003, loss: 0.3874 +2022-03-14 07:13:56,382 - mmseg - INFO - Iter [31500/160000] lr: 1.153e-06, eta: 1 day, 7:22:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2673, decode.acc_seg: 73.0981, aux.loss_ce: 0.1382, aux.acc_seg: 71.3730, loss: 0.4056 +2022-03-14 07:14:39,757 - mmseg - INFO - Iter [31550/160000] lr: 1.153e-06, eta: 1 day, 7:21:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2541, decode.acc_seg: 71.7068, aux.loss_ce: 0.1341, aux.acc_seg: 70.2697, loss: 0.3882 +2022-03-14 07:15:25,657 - mmseg - INFO - Iter [31600/160000] lr: 1.152e-06, eta: 1 day, 7:20:55, time: 0.918, data_time: 0.053, memory: 73034, decode.loss_ce: 0.2434, decode.acc_seg: 73.0589, aux.loss_ce: 0.1256, aux.acc_seg: 71.6150, loss: 0.3689 +2022-03-14 07:16:09,315 - mmseg - INFO - Iter [31650/160000] lr: 1.152e-06, eta: 1 day, 7:20:10, time: 0.873, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2644, decode.acc_seg: 73.0809, aux.loss_ce: 0.1389, aux.acc_seg: 71.1921, loss: 0.4033 +2022-03-14 07:16:52,970 - mmseg - INFO - Iter [31700/160000] lr: 1.151e-06, eta: 1 day, 7:19:25, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2568, decode.acc_seg: 72.5961, aux.loss_ce: 0.1326, aux.acc_seg: 70.9815, loss: 0.3894 +2022-03-14 07:17:36,435 - mmseg - INFO - Iter [31750/160000] lr: 1.151e-06, eta: 1 day, 7:18:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2530, decode.acc_seg: 72.8409, aux.loss_ce: 0.1301, aux.acc_seg: 71.3023, loss: 0.3831 +2022-03-14 07:18:20,218 - mmseg - INFO - Iter [31800/160000] lr: 1.150e-06, eta: 1 day, 7:17:54, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2501, decode.acc_seg: 72.7137, aux.loss_ce: 0.1293, aux.acc_seg: 71.0758, loss: 0.3793 +2022-03-14 07:19:03,482 - mmseg - INFO - Iter [31850/160000] lr: 1.150e-06, eta: 1 day, 7:17:08, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2364, decode.acc_seg: 72.9775, aux.loss_ce: 0.1262, aux.acc_seg: 71.1595, loss: 0.3625 +2022-03-14 07:19:46,861 - mmseg - INFO - Iter [31900/160000] lr: 1.150e-06, eta: 1 day, 7:16:21, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2512, decode.acc_seg: 71.9825, aux.loss_ce: 0.1295, aux.acc_seg: 70.4652, loss: 0.3808 +2022-03-14 07:20:30,420 - mmseg - INFO - Iter [31950/160000] lr: 1.149e-06, eta: 1 day, 7:15:36, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2551, decode.acc_seg: 72.7268, aux.loss_ce: 0.1320, aux.acc_seg: 71.0067, loss: 0.3872 +2022-03-14 07:21:13,932 - mmseg - INFO - Saving checkpoint at 32000 iterations +2022-03-14 07:21:24,967 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 07:21:24,967 - mmseg - INFO - Iter [32000/160000] lr: 1.149e-06, eta: 1 day, 7:15:34, time: 1.091, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2603, decode.acc_seg: 71.7146, aux.loss_ce: 0.1333, aux.acc_seg: 70.2398, loss: 0.3937 +2022-03-14 07:22:48,233 - mmseg - INFO - per class results: +2022-03-14 07:22:48,244 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 80.16 | 86.97 | +| building | 83.51 | 92.7 | +| sky | 94.42 | 97.74 | +| floor | 84.09 | 91.03 | +| tree | 76.17 | 88.22 | +| ceiling | 84.89 | 94.49 | +| road | 84.09 | 92.06 | +| bed | 91.55 | 97.37 | +| windowpane | 64.97 | 80.43 | +| grass | 70.3 | 86.03 | +| cabinet | 62.12 | 73.51 | +| sidewalk | 67.67 | 81.23 | +| person | 84.46 | 92.16 | +| earth | 36.76 | 47.08 | +| door | 55.7 | 74.14 | +| table | 67.23 | 79.39 | +| mountain | 62.15 | 72.98 | +| plant | 56.31 | 66.14 | +| curtain | 77.07 | 89.14 | +| chair | 63.03 | 73.55 | +| car | 86.52 | 93.82 | +| water | 63.12 | 78.1 | +| painting | 72.43 | 90.26 | +| sofa | 76.84 | 84.97 | +| shelf | 48.14 | 67.15 | +| house | 44.17 | 64.65 | +| sea | 71.36 | 88.29 | +| mirror | 75.35 | 85.39 | +| rug | 70.0 | 84.25 | +| field | 29.19 | 47.82 | +| armchair | 57.02 | 79.32 | +| seat | 65.58 | 87.03 | +| fence | 50.08 | 63.06 | +| desk | 54.73 | 80.76 | +| rock | 53.11 | 83.91 | +| wardrobe | 49.67 | 71.11 | +| lamp | 67.19 | 77.25 | +| bathtub | 82.64 | 86.4 | +| railing | 43.19 | 57.84 | +| cushion | 64.55 | 76.16 | +| base | 47.27 | 65.59 | +| box | 36.15 | 46.35 | +| column | 51.75 | 65.81 | +| signboard | 40.87 | 51.73 | +| chest of drawers | 39.1 | 65.87 | +| counter | 41.35 | 52.49 | +| sand | 46.31 | 70.52 | +| sink | 75.96 | 83.0 | +| skyscraper | 55.54 | 75.14 | +| fireplace | 75.15 | 94.25 | +| refrigerator | 81.69 | 93.51 | +| grandstand | 49.91 | 90.88 | +| path | 22.27 | 31.05 | +| stairs | 32.67 | 38.37 | +| runway | 71.74 | 98.64 | +| case | 63.67 | 81.01 | +| pool table | 94.38 | 98.07 | +| pillow | 64.62 | 74.94 | +| screen door | 70.81 | 73.9 | +| stairway | 37.47 | 58.29 | +| river | 12.39 | 27.28 | +| bridge | 71.89 | 88.9 | +| bookcase | 42.51 | 59.66 | +| blind | 43.61 | 49.94 | +| coffee table | 64.38 | 88.07 | +| toilet | 89.92 | 93.77 | +| flower | 48.83 | 67.64 | +| book | 50.28 | 72.56 | +| hill | 12.11 | 15.73 | +| bench | 50.78 | 60.2 | +| countertop | 63.74 | 83.31 | +| stove | 82.76 | 87.83 | +| palm | 51.1 | 79.36 | +| kitchen island | 42.49 | 82.17 | +| computer | 77.25 | 93.23 | +| swivel chair | 49.11 | 71.93 | +| boat | 68.17 | 87.49 | +| bar | 56.75 | 68.31 | +| arcade machine | 84.95 | 98.43 | +| hovel | 15.24 | 15.29 | +| bus | 92.09 | 97.54 | +| towel | 69.61 | 82.71 | +| light | 51.66 | 56.11 | +| truck | 46.43 | 59.26 | +| tower | 35.87 | 59.16 | +| chandelier | 68.81 | 85.91 | +| awning | 48.24 | 58.11 | +| streetlight | 31.33 | 41.93 | +| booth | 45.18 | 52.96 | +| television receiver | 73.56 | 78.86 | +| airplane | 67.14 | 75.99 | +| dirt track | 6.09 | 30.73 | +| apparel | 49.76 | 62.98 | +| pole | 23.88 | 28.92 | +| land | 1.34 | 2.26 | +| bannister | 13.57 | 18.72 | +| escalator | 54.88 | 84.09 | +| ottoman | 47.78 | 70.21 | +| bottle | 42.13 | 61.99 | +| buffet | 50.07 | 63.19 | +| poster | 35.57 | 49.37 | +| stage | 22.74 | 46.42 | +| van | 44.33 | 59.69 | +| ship | 40.22 | 49.58 | +| fountain | 45.86 | 47.99 | +| conveyer belt | 73.21 | 95.66 | +| canopy | 45.54 | 82.17 | +| washer | 87.47 | 93.8 | +| plaything | 41.63 | 64.02 | +| swimming pool | 75.47 | 94.0 | +| stool | 45.59 | 55.18 | +| barrel | 57.52 | 75.08 | +| basket | 38.79 | 51.22 | +| waterfall | 53.36 | 61.43 | +| tent | 85.44 | 99.56 | +| bag | 16.01 | 17.34 | +| minibike | 75.86 | 89.89 | +| cradle | 81.43 | 98.21 | +| oven | 51.56 | 61.21 | +| ball | 57.25 | 68.7 | +| food | 62.71 | 78.56 | +| step | 15.87 | 19.04 | +| tank | 61.84 | 67.08 | +| trade name | 31.54 | 38.11 | +| microwave | 84.31 | 96.03 | +| pot | 50.42 | 58.7 | +| animal | 65.46 | 67.19 | +| bicycle | 61.74 | 78.81 | +| lake | 52.73 | 63.79 | +| dishwasher | 62.46 | 82.24 | +| screen | 59.43 | 91.08 | +| blanket | 16.84 | 18.28 | +| sculpture | 75.97 | 84.42 | +| hood | 60.25 | 76.63 | +| sconce | 53.13 | 66.92 | +| vase | 40.69 | 59.89 | +| traffic light | 33.21 | 62.33 | +| tray | 14.14 | 16.23 | +| ashcan | 44.56 | 72.27 | +| fan | 62.29 | 75.4 | +| pier | 36.42 | 45.35 | +| crt screen | 6.53 | 18.07 | +| plate | 59.65 | 77.55 | +| monitor | 15.19 | 18.66 | +| bulletin board | 49.46 | 57.39 | +| shower | 1.86 | 3.9 | +| radiator | 63.46 | 72.96 | +| glass | 17.14 | 18.05 | +| clock | 44.71 | 52.38 | +| flag | 61.49 | 66.37 | ++---------------------+-------+-------+ +2022-03-14 07:22:48,244 - mmseg - INFO - Summary: +2022-03-14 07:22:48,244 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 84.99 | 54.72 | 68.27 | ++-------+-------+-------+ +2022-03-14 07:22:48,253 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 07:22:48,253 - mmseg - INFO - Iter(val) [250] aAcc: 0.8499, mIoU: 0.5472, mAcc: 0.6827, IoU.wall: 0.8016, IoU.building: 0.8351, IoU.sky: 0.9442, IoU.floor: 0.8409, IoU.tree: 0.7617, IoU.ceiling: 0.8489, IoU.road: 0.8409, IoU.bed : 0.9155, IoU.windowpane: 0.6497, IoU.grass: 0.7030, IoU.cabinet: 0.6212, IoU.sidewalk: 0.6767, IoU.person: 0.8446, IoU.earth: 0.3676, IoU.door: 0.5570, IoU.table: 0.6723, IoU.mountain: 0.6215, IoU.plant: 0.5631, IoU.curtain: 0.7707, IoU.chair: 0.6303, IoU.car: 0.8652, IoU.water: 0.6312, IoU.painting: 0.7243, IoU.sofa: 0.7684, IoU.shelf: 0.4814, IoU.house: 0.4417, IoU.sea: 0.7136, IoU.mirror: 0.7535, IoU.rug: 0.7000, IoU.field: 0.2919, IoU.armchair: 0.5702, IoU.seat: 0.6558, IoU.fence: 0.5008, IoU.desk: 0.5473, IoU.rock: 0.5311, IoU.wardrobe: 0.4967, IoU.lamp: 0.6719, IoU.bathtub: 0.8264, IoU.railing: 0.4319, IoU.cushion: 0.6455, IoU.base: 0.4727, IoU.box: 0.3615, IoU.column: 0.5175, IoU.signboard: 0.4087, IoU.chest of drawers: 0.3910, IoU.counter: 0.4135, IoU.sand: 0.4631, IoU.sink: 0.7596, IoU.skyscraper: 0.5554, IoU.fireplace: 0.7515, IoU.refrigerator: 0.8169, IoU.grandstand: 0.4991, IoU.path: 0.2227, IoU.stairs: 0.3267, IoU.runway: 0.7174, IoU.case: 0.6367, IoU.pool table: 0.9438, IoU.pillow: 0.6462, IoU.screen door: 0.7081, IoU.stairway: 0.3747, IoU.river: 0.1239, IoU.bridge: 0.7189, IoU.bookcase: 0.4251, IoU.blind: 0.4361, IoU.coffee table: 0.6438, IoU.toilet: 0.8992, IoU.flower: 0.4883, IoU.book: 0.5028, IoU.hill: 0.1211, IoU.bench: 0.5078, IoU.countertop: 0.6374, IoU.stove: 0.8276, IoU.palm: 0.5110, IoU.kitchen island: 0.4249, IoU.computer: 0.7725, IoU.swivel chair: 0.4911, IoU.boat: 0.6817, IoU.bar: 0.5675, IoU.arcade machine: 0.8495, IoU.hovel: 0.1524, IoU.bus: 0.9209, IoU.towel: 0.6961, IoU.light: 0.5166, IoU.truck: 0.4643, IoU.tower: 0.3587, IoU.chandelier: 0.6881, IoU.awning: 0.4824, IoU.streetlight: 0.3133, IoU.booth: 0.4518, IoU.television receiver: 0.7356, IoU.airplane: 0.6714, IoU.dirt track: 0.0609, IoU.apparel: 0.4976, IoU.pole: 0.2388, IoU.land: 0.0134, IoU.bannister: 0.1357, IoU.escalator: 0.5488, IoU.ottoman: 0.4778, IoU.bottle: 0.4213, IoU.buffet: 0.5007, IoU.poster: 0.3557, IoU.stage: 0.2274, IoU.van: 0.4433, IoU.ship: 0.4022, IoU.fountain: 0.4586, IoU.conveyer belt: 0.7321, IoU.canopy: 0.4554, IoU.washer: 0.8747, IoU.plaything: 0.4163, IoU.swimming pool: 0.7547, IoU.stool: 0.4559, IoU.barrel: 0.5752, IoU.basket: 0.3879, IoU.waterfall: 0.5336, IoU.tent: 0.8544, IoU.bag: 0.1601, IoU.minibike: 0.7586, IoU.cradle: 0.8143, IoU.oven: 0.5156, IoU.ball: 0.5725, IoU.food: 0.6271, IoU.step: 0.1587, IoU.tank: 0.6184, IoU.trade name: 0.3154, IoU.microwave: 0.8431, IoU.pot: 0.5042, IoU.animal: 0.6546, IoU.bicycle: 0.6174, IoU.lake: 0.5273, IoU.dishwasher: 0.6246, IoU.screen: 0.5943, IoU.blanket: 0.1684, IoU.sculpture: 0.7597, IoU.hood: 0.6025, IoU.sconce: 0.5313, IoU.vase: 0.4069, IoU.traffic light: 0.3321, IoU.tray: 0.1414, IoU.ashcan: 0.4456, IoU.fan: 0.6229, IoU.pier: 0.3642, IoU.crt screen: 0.0653, IoU.plate: 0.5965, IoU.monitor: 0.1519, IoU.bulletin board: 0.4946, IoU.shower: 0.0186, IoU.radiator: 0.6346, IoU.glass: 0.1714, IoU.clock: 0.4471, IoU.flag: 0.6149, Acc.wall: 0.8697, Acc.building: 0.9270, Acc.sky: 0.9774, Acc.floor: 0.9103, Acc.tree: 0.8822, Acc.ceiling: 0.9449, Acc.road: 0.9206, Acc.bed : 0.9737, Acc.windowpane: 0.8043, Acc.grass: 0.8603, Acc.cabinet: 0.7351, Acc.sidewalk: 0.8123, Acc.person: 0.9216, Acc.earth: 0.4708, Acc.door: 0.7414, Acc.table: 0.7939, Acc.mountain: 0.7298, Acc.plant: 0.6614, Acc.curtain: 0.8914, Acc.chair: 0.7355, Acc.car: 0.9382, Acc.water: 0.7810, Acc.painting: 0.9026, Acc.sofa: 0.8497, Acc.shelf: 0.6715, Acc.house: 0.6465, Acc.sea: 0.8829, Acc.mirror: 0.8539, Acc.rug: 0.8425, Acc.field: 0.4782, Acc.armchair: 0.7932, Acc.seat: 0.8703, Acc.fence: 0.6306, Acc.desk: 0.8076, Acc.rock: 0.8391, Acc.wardrobe: 0.7111, Acc.lamp: 0.7725, Acc.bathtub: 0.8640, Acc.railing: 0.5784, Acc.cushion: 0.7616, Acc.base: 0.6559, Acc.box: 0.4635, Acc.column: 0.6581, Acc.signboard: 0.5173, Acc.chest of drawers: 0.6587, Acc.counter: 0.5249, Acc.sand: 0.7052, Acc.sink: 0.8300, Acc.skyscraper: 0.7514, Acc.fireplace: 0.9425, Acc.refrigerator: 0.9351, Acc.grandstand: 0.9088, Acc.path: 0.3105, Acc.stairs: 0.3837, Acc.runway: 0.9864, Acc.case: 0.8101, Acc.pool table: 0.9807, Acc.pillow: 0.7494, Acc.screen door: 0.7390, Acc.stairway: 0.5829, Acc.river: 0.2728, Acc.bridge: 0.8890, Acc.bookcase: 0.5966, Acc.blind: 0.4994, Acc.coffee table: 0.8807, Acc.toilet: 0.9377, Acc.flower: 0.6764, Acc.book: 0.7256, Acc.hill: 0.1573, Acc.bench: 0.6020, Acc.countertop: 0.8331, Acc.stove: 0.8783, Acc.palm: 0.7936, Acc.kitchen island: 0.8217, Acc.computer: 0.9323, Acc.swivel chair: 0.7193, Acc.boat: 0.8749, Acc.bar: 0.6831, Acc.arcade machine: 0.9843, Acc.hovel: 0.1529, Acc.bus: 0.9754, Acc.towel: 0.8271, Acc.light: 0.5611, Acc.truck: 0.5926, Acc.tower: 0.5916, Acc.chandelier: 0.8591, Acc.awning: 0.5811, Acc.streetlight: 0.4193, Acc.booth: 0.5296, Acc.television receiver: 0.7886, Acc.airplane: 0.7599, Acc.dirt track: 0.3073, Acc.apparel: 0.6298, Acc.pole: 0.2892, Acc.land: 0.0226, Acc.bannister: 0.1872, Acc.escalator: 0.8409, Acc.ottoman: 0.7021, Acc.bottle: 0.6199, Acc.buffet: 0.6319, Acc.poster: 0.4937, Acc.stage: 0.4642, Acc.van: 0.5969, Acc.ship: 0.4958, Acc.fountain: 0.4799, Acc.conveyer belt: 0.9566, Acc.canopy: 0.8217, Acc.washer: 0.9380, Acc.plaything: 0.6402, Acc.swimming pool: 0.9400, Acc.stool: 0.5518, Acc.barrel: 0.7508, Acc.basket: 0.5122, Acc.waterfall: 0.6143, Acc.tent: 0.9956, Acc.bag: 0.1734, Acc.minibike: 0.8989, Acc.cradle: 0.9821, Acc.oven: 0.6121, Acc.ball: 0.6870, Acc.food: 0.7856, Acc.step: 0.1904, Acc.tank: 0.6708, Acc.trade name: 0.3811, Acc.microwave: 0.9603, Acc.pot: 0.5870, Acc.animal: 0.6719, Acc.bicycle: 0.7881, Acc.lake: 0.6379, Acc.dishwasher: 0.8224, Acc.screen: 0.9108, Acc.blanket: 0.1828, Acc.sculpture: 0.8442, Acc.hood: 0.7663, Acc.sconce: 0.6692, Acc.vase: 0.5989, Acc.traffic light: 0.6233, Acc.tray: 0.1623, Acc.ashcan: 0.7227, Acc.fan: 0.7540, Acc.pier: 0.4535, Acc.crt screen: 0.1807, Acc.plate: 0.7755, Acc.monitor: 0.1866, Acc.bulletin board: 0.5739, Acc.shower: 0.0390, Acc.radiator: 0.7296, Acc.glass: 0.1805, Acc.clock: 0.5238, Acc.flag: 0.6637 +2022-03-14 07:23:31,565 - mmseg - INFO - Iter [32050/160000] lr: 1.148e-06, eta: 1 day, 7:20:20, time: 2.532, data_time: 1.671, memory: 73034, decode.loss_ce: 0.2459, decode.acc_seg: 71.8439, aux.loss_ce: 0.1273, aux.acc_seg: 69.9619, loss: 0.3732 +2022-03-14 07:24:14,830 - mmseg - INFO - Iter [32100/160000] lr: 1.148e-06, eta: 1 day, 7:19:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2498, decode.acc_seg: 73.0264, aux.loss_ce: 0.1312, aux.acc_seg: 71.3177, loss: 0.3810 +2022-03-14 07:24:58,340 - mmseg - INFO - Iter [32150/160000] lr: 1.147e-06, eta: 1 day, 7:18:47, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2477, decode.acc_seg: 73.3321, aux.loss_ce: 0.1268, aux.acc_seg: 72.0928, loss: 0.3744 +2022-03-14 07:25:41,698 - mmseg - INFO - Iter [32200/160000] lr: 1.147e-06, eta: 1 day, 7:18:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2396, decode.acc_seg: 71.5848, aux.loss_ce: 0.1276, aux.acc_seg: 69.7229, loss: 0.3671 +2022-03-14 07:26:25,184 - mmseg - INFO - Iter [32250/160000] lr: 1.146e-06, eta: 1 day, 7:17:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2573, decode.acc_seg: 73.7931, aux.loss_ce: 0.1340, aux.acc_seg: 72.2034, loss: 0.3913 +2022-03-14 07:27:08,557 - mmseg - INFO - Iter [32300/160000] lr: 1.146e-06, eta: 1 day, 7:16:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2502, decode.acc_seg: 74.7190, aux.loss_ce: 0.1281, aux.acc_seg: 73.0536, loss: 0.3782 +2022-03-14 07:27:52,106 - mmseg - INFO - Iter [32350/160000] lr: 1.146e-06, eta: 1 day, 7:15:40, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2633, decode.acc_seg: 71.3228, aux.loss_ce: 0.1333, aux.acc_seg: 69.9174, loss: 0.3966 +2022-03-14 07:28:35,491 - mmseg - INFO - Iter [32400/160000] lr: 1.145e-06, eta: 1 day, 7:14:53, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2673, decode.acc_seg: 71.2361, aux.loss_ce: 0.1336, aux.acc_seg: 69.7614, loss: 0.4010 +2022-03-14 07:29:18,756 - mmseg - INFO - Iter [32450/160000] lr: 1.145e-06, eta: 1 day, 7:14:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2484, decode.acc_seg: 72.6627, aux.loss_ce: 0.1285, aux.acc_seg: 70.9030, loss: 0.3768 +2022-03-14 07:30:02,306 - mmseg - INFO - Iter [32500/160000] lr: 1.144e-06, eta: 1 day, 7:13:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2650, decode.acc_seg: 72.0167, aux.loss_ce: 0.1371, aux.acc_seg: 70.4949, loss: 0.4021 +2022-03-14 07:30:45,610 - mmseg - INFO - Iter [32550/160000] lr: 1.144e-06, eta: 1 day, 7:12:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2557, decode.acc_seg: 72.4998, aux.loss_ce: 0.1321, aux.acc_seg: 71.0646, loss: 0.3878 +2022-03-14 07:31:28,924 - mmseg - INFO - Iter [32600/160000] lr: 1.143e-06, eta: 1 day, 7:11:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2659, decode.acc_seg: 73.2115, aux.loss_ce: 0.1360, aux.acc_seg: 71.6509, loss: 0.4019 +2022-03-14 07:32:12,306 - mmseg - INFO - Iter [32650/160000] lr: 1.143e-06, eta: 1 day, 7:10:59, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2575, decode.acc_seg: 72.0279, aux.loss_ce: 0.1338, aux.acc_seg: 70.3526, loss: 0.3913 +2022-03-14 07:32:55,626 - mmseg - INFO - Iter [32700/160000] lr: 1.142e-06, eta: 1 day, 7:10:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2756, decode.acc_seg: 72.9951, aux.loss_ce: 0.1422, aux.acc_seg: 71.1560, loss: 0.4178 +2022-03-14 07:33:38,999 - mmseg - INFO - Iter [32750/160000] lr: 1.142e-06, eta: 1 day, 7:09:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2527, decode.acc_seg: 72.5853, aux.loss_ce: 0.1281, aux.acc_seg: 71.0953, loss: 0.3808 +2022-03-14 07:34:22,474 - mmseg - INFO - Iter [32800/160000] lr: 1.141e-06, eta: 1 day, 7:08:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2363, decode.acc_seg: 72.5694, aux.loss_ce: 0.1237, aux.acc_seg: 71.1534, loss: 0.3600 +2022-03-14 07:35:08,215 - mmseg - INFO - Iter [32850/160000] lr: 1.141e-06, eta: 1 day, 7:08:01, time: 0.915, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2577, decode.acc_seg: 72.0423, aux.loss_ce: 0.1316, aux.acc_seg: 70.5992, loss: 0.3893 +2022-03-14 07:35:51,481 - mmseg - INFO - Iter [32900/160000] lr: 1.141e-06, eta: 1 day, 7:07:14, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2285, decode.acc_seg: 72.5382, aux.loss_ce: 0.1217, aux.acc_seg: 70.8700, loss: 0.3502 +2022-03-14 07:36:34,733 - mmseg - INFO - Iter [32950/160000] lr: 1.140e-06, eta: 1 day, 7:06:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2317, decode.acc_seg: 73.4359, aux.loss_ce: 0.1234, aux.acc_seg: 71.6581, loss: 0.3552 +2022-03-14 07:37:18,050 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 07:37:18,055 - mmseg - INFO - Iter [33000/160000] lr: 1.140e-06, eta: 1 day, 7:05:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2391, decode.acc_seg: 74.0538, aux.loss_ce: 0.1227, aux.acc_seg: 72.5446, loss: 0.3618 +2022-03-14 07:38:01,642 - mmseg - INFO - Iter [33050/160000] lr: 1.139e-06, eta: 1 day, 7:04:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2479, decode.acc_seg: 71.8353, aux.loss_ce: 0.1299, aux.acc_seg: 70.1833, loss: 0.3779 +2022-03-14 07:38:44,959 - mmseg - INFO - Iter [33100/160000] lr: 1.139e-06, eta: 1 day, 7:04:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2463, decode.acc_seg: 72.8726, aux.loss_ce: 0.1287, aux.acc_seg: 71.2399, loss: 0.3750 +2022-03-14 07:39:28,416 - mmseg - INFO - Iter [33150/160000] lr: 1.138e-06, eta: 1 day, 7:03:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2509, decode.acc_seg: 72.5008, aux.loss_ce: 0.1314, aux.acc_seg: 70.8652, loss: 0.3823 +2022-03-14 07:40:11,810 - mmseg - INFO - Iter [33200/160000] lr: 1.138e-06, eta: 1 day, 7:02:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2539, decode.acc_seg: 72.9054, aux.loss_ce: 0.1297, aux.acc_seg: 71.4104, loss: 0.3836 +2022-03-14 07:40:55,105 - mmseg - INFO - Iter [33250/160000] lr: 1.137e-06, eta: 1 day, 7:01:47, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2303, decode.acc_seg: 72.6027, aux.loss_ce: 0.1199, aux.acc_seg: 71.1821, loss: 0.3502 +2022-03-14 07:41:38,566 - mmseg - INFO - Iter [33300/160000] lr: 1.137e-06, eta: 1 day, 7:01:00, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2495, decode.acc_seg: 73.0398, aux.loss_ce: 0.1286, aux.acc_seg: 71.6491, loss: 0.3780 +2022-03-14 07:42:21,994 - mmseg - INFO - Iter [33350/160000] lr: 1.137e-06, eta: 1 day, 7:00:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2388, decode.acc_seg: 73.0523, aux.loss_ce: 0.1281, aux.acc_seg: 71.3101, loss: 0.3668 +2022-03-14 07:43:05,554 - mmseg - INFO - Iter [33400/160000] lr: 1.136e-06, eta: 1 day, 6:59:28, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2571, decode.acc_seg: 71.9803, aux.loss_ce: 0.1330, aux.acc_seg: 70.2613, loss: 0.3901 +2022-03-14 07:43:48,874 - mmseg - INFO - Iter [33450/160000] lr: 1.136e-06, eta: 1 day, 6:58:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2451, decode.acc_seg: 73.5261, aux.loss_ce: 0.1266, aux.acc_seg: 72.0400, loss: 0.3717 +2022-03-14 07:44:32,427 - mmseg - INFO - Iter [33500/160000] lr: 1.135e-06, eta: 1 day, 6:57:55, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2538, decode.acc_seg: 72.6094, aux.loss_ce: 0.1314, aux.acc_seg: 71.0384, loss: 0.3852 +2022-03-14 07:45:15,807 - mmseg - INFO - Iter [33550/160000] lr: 1.135e-06, eta: 1 day, 6:57:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2491, decode.acc_seg: 73.6269, aux.loss_ce: 0.1271, aux.acc_seg: 72.3546, loss: 0.3761 +2022-03-14 07:45:59,229 - mmseg - INFO - Iter [33600/160000] lr: 1.134e-06, eta: 1 day, 6:56:22, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2327, decode.acc_seg: 72.8960, aux.loss_ce: 0.1213, aux.acc_seg: 71.3835, loss: 0.3540 +2022-03-14 07:46:42,648 - mmseg - INFO - Iter [33650/160000] lr: 1.134e-06, eta: 1 day, 6:55:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2490, decode.acc_seg: 74.2301, aux.loss_ce: 0.1304, aux.acc_seg: 72.4350, loss: 0.3794 +2022-03-14 07:47:25,891 - mmseg - INFO - Iter [33700/160000] lr: 1.133e-06, eta: 1 day, 6:54:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2493, decode.acc_seg: 73.4457, aux.loss_ce: 0.1288, aux.acc_seg: 71.8706, loss: 0.3781 +2022-03-14 07:48:09,093 - mmseg - INFO - Iter [33750/160000] lr: 1.133e-06, eta: 1 day, 6:54:01, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2448, decode.acc_seg: 73.0558, aux.loss_ce: 0.1288, aux.acc_seg: 71.2554, loss: 0.3736 +2022-03-14 07:48:52,665 - mmseg - INFO - Iter [33800/160000] lr: 1.132e-06, eta: 1 day, 6:53:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2428, decode.acc_seg: 72.7187, aux.loss_ce: 0.1263, aux.acc_seg: 71.2201, loss: 0.3691 +2022-03-14 07:49:36,053 - mmseg - INFO - Iter [33850/160000] lr: 1.132e-06, eta: 1 day, 6:52:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2513, decode.acc_seg: 73.0964, aux.loss_ce: 0.1313, aux.acc_seg: 71.3775, loss: 0.3826 +2022-03-14 07:50:19,293 - mmseg - INFO - Iter [33900/160000] lr: 1.132e-06, eta: 1 day, 6:51:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2342, decode.acc_seg: 71.1421, aux.loss_ce: 0.1218, aux.acc_seg: 69.7067, loss: 0.3560 +2022-03-14 07:51:03,025 - mmseg - INFO - Iter [33950/160000] lr: 1.131e-06, eta: 1 day, 6:50:56, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2461, decode.acc_seg: 73.8711, aux.loss_ce: 0.1285, aux.acc_seg: 72.2782, loss: 0.3746 +2022-03-14 07:51:46,279 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 07:51:46,282 - mmseg - INFO - Iter [34000/160000] lr: 1.131e-06, eta: 1 day, 6:50:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2498, decode.acc_seg: 72.2819, aux.loss_ce: 0.1290, aux.acc_seg: 70.7633, loss: 0.3788 +2022-03-14 07:52:29,746 - mmseg - INFO - Iter [34050/160000] lr: 1.130e-06, eta: 1 day, 6:49:23, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2554, decode.acc_seg: 73.6763, aux.loss_ce: 0.1338, aux.acc_seg: 71.9493, loss: 0.3891 +2022-03-14 07:53:13,395 - mmseg - INFO - Iter [34100/160000] lr: 1.130e-06, eta: 1 day, 6:48:37, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2295, decode.acc_seg: 72.1486, aux.loss_ce: 0.1181, aux.acc_seg: 70.8407, loss: 0.3476 +2022-03-14 07:53:59,414 - mmseg - INFO - Iter [34150/160000] lr: 1.129e-06, eta: 1 day, 6:48:01, time: 0.920, data_time: 0.051, memory: 73034, decode.loss_ce: 0.2338, decode.acc_seg: 72.2188, aux.loss_ce: 0.1213, aux.acc_seg: 70.6725, loss: 0.3551 +2022-03-14 07:54:42,943 - mmseg - INFO - Iter [34200/160000] lr: 1.129e-06, eta: 1 day, 6:47:15, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2444, decode.acc_seg: 74.1911, aux.loss_ce: 0.1281, aux.acc_seg: 72.5616, loss: 0.3725 +2022-03-14 07:55:26,281 - mmseg - INFO - Iter [34250/160000] lr: 1.128e-06, eta: 1 day, 6:46:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2249, decode.acc_seg: 71.7951, aux.loss_ce: 0.1174, aux.acc_seg: 70.1728, loss: 0.3423 +2022-03-14 07:56:09,780 - mmseg - INFO - Iter [34300/160000] lr: 1.128e-06, eta: 1 day, 6:45:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2401, decode.acc_seg: 75.1433, aux.loss_ce: 0.1255, aux.acc_seg: 73.5270, loss: 0.3656 +2022-03-14 07:56:53,221 - mmseg - INFO - Iter [34350/160000] lr: 1.128e-06, eta: 1 day, 6:44:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2361, decode.acc_seg: 72.8333, aux.loss_ce: 0.1229, aux.acc_seg: 71.2821, loss: 0.3590 +2022-03-14 07:57:36,512 - mmseg - INFO - Iter [34400/160000] lr: 1.127e-06, eta: 1 day, 6:44:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2530, decode.acc_seg: 72.7848, aux.loss_ce: 0.1290, aux.acc_seg: 71.2334, loss: 0.3821 +2022-03-14 07:58:19,883 - mmseg - INFO - Iter [34450/160000] lr: 1.127e-06, eta: 1 day, 6:43:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2356, decode.acc_seg: 70.6678, aux.loss_ce: 0.1212, aux.acc_seg: 69.2873, loss: 0.3568 +2022-03-14 07:59:03,484 - mmseg - INFO - Iter [34500/160000] lr: 1.126e-06, eta: 1 day, 6:42:37, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 73.4627, aux.loss_ce: 0.1232, aux.acc_seg: 71.8728, loss: 0.3576 +2022-03-14 07:59:46,953 - mmseg - INFO - Iter [34550/160000] lr: 1.126e-06, eta: 1 day, 6:41:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2395, decode.acc_seg: 73.1188, aux.loss_ce: 0.1231, aux.acc_seg: 71.5956, loss: 0.3626 +2022-03-14 08:00:30,666 - mmseg - INFO - Iter [34600/160000] lr: 1.125e-06, eta: 1 day, 6:41:05, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2405, decode.acc_seg: 70.9409, aux.loss_ce: 0.1260, aux.acc_seg: 69.4482, loss: 0.3665 +2022-03-14 08:01:14,017 - mmseg - INFO - Iter [34650/160000] lr: 1.125e-06, eta: 1 day, 6:40:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2347, decode.acc_seg: 73.0559, aux.loss_ce: 0.1252, aux.acc_seg: 71.4239, loss: 0.3600 +2022-03-14 08:01:57,431 - mmseg - INFO - Iter [34700/160000] lr: 1.124e-06, eta: 1 day, 6:39:32, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2556, decode.acc_seg: 73.9534, aux.loss_ce: 0.1326, aux.acc_seg: 72.3095, loss: 0.3882 +2022-03-14 08:02:40,669 - mmseg - INFO - Iter [34750/160000] lr: 1.124e-06, eta: 1 day, 6:38:45, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2475, decode.acc_seg: 72.5519, aux.loss_ce: 0.1279, aux.acc_seg: 71.0784, loss: 0.3755 +2022-03-14 08:03:24,181 - mmseg - INFO - Iter [34800/160000] lr: 1.124e-06, eta: 1 day, 6:37:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2384, decode.acc_seg: 72.4669, aux.loss_ce: 0.1236, aux.acc_seg: 71.0271, loss: 0.3620 +2022-03-14 08:04:07,398 - mmseg - INFO - Iter [34850/160000] lr: 1.123e-06, eta: 1 day, 6:37:12, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2366, decode.acc_seg: 73.5351, aux.loss_ce: 0.1228, aux.acc_seg: 72.0088, loss: 0.3594 +2022-03-14 08:04:50,642 - mmseg - INFO - Iter [34900/160000] lr: 1.123e-06, eta: 1 day, 6:36:26, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2514, decode.acc_seg: 72.5598, aux.loss_ce: 0.1272, aux.acc_seg: 71.1575, loss: 0.3786 +2022-03-14 08:05:34,397 - mmseg - INFO - Iter [34950/160000] lr: 1.122e-06, eta: 1 day, 6:35:40, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2420, decode.acc_seg: 73.6655, aux.loss_ce: 0.1244, aux.acc_seg: 72.1132, loss: 0.3663 +2022-03-14 08:06:17,970 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 08:06:17,973 - mmseg - INFO - Iter [35000/160000] lr: 1.122e-06, eta: 1 day, 6:34:55, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2621, decode.acc_seg: 72.6913, aux.loss_ce: 0.1355, aux.acc_seg: 71.2941, loss: 0.3976 +2022-03-14 08:07:01,548 - mmseg - INFO - Iter [35050/160000] lr: 1.121e-06, eta: 1 day, 6:34:09, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2420, decode.acc_seg: 73.6836, aux.loss_ce: 0.1267, aux.acc_seg: 72.1429, loss: 0.3687 +2022-03-14 08:07:44,988 - mmseg - INFO - Iter [35100/160000] lr: 1.121e-06, eta: 1 day, 6:33:23, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2322, decode.acc_seg: 74.3363, aux.loss_ce: 0.1221, aux.acc_seg: 72.8201, loss: 0.3543 +2022-03-14 08:08:28,300 - mmseg - INFO - Iter [35150/160000] lr: 1.120e-06, eta: 1 day, 6:32:36, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2483, decode.acc_seg: 73.7689, aux.loss_ce: 0.1265, aux.acc_seg: 72.2117, loss: 0.3747 +2022-03-14 08:09:11,806 - mmseg - INFO - Iter [35200/160000] lr: 1.120e-06, eta: 1 day, 6:31:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2539, decode.acc_seg: 73.0627, aux.loss_ce: 0.1328, aux.acc_seg: 71.3942, loss: 0.3867 +2022-03-14 08:09:55,149 - mmseg - INFO - Iter [35250/160000] lr: 1.119e-06, eta: 1 day, 6:31:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2615, decode.acc_seg: 71.8599, aux.loss_ce: 0.1324, aux.acc_seg: 70.4140, loss: 0.3939 +2022-03-14 08:10:38,535 - mmseg - INFO - Iter [35300/160000] lr: 1.119e-06, eta: 1 day, 6:30:18, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2461, decode.acc_seg: 70.8921, aux.loss_ce: 0.1270, aux.acc_seg: 69.4316, loss: 0.3732 +2022-03-14 08:11:21,987 - mmseg - INFO - Iter [35350/160000] lr: 1.119e-06, eta: 1 day, 6:29:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2371, decode.acc_seg: 71.8831, aux.loss_ce: 0.1216, aux.acc_seg: 70.3233, loss: 0.3587 +2022-03-14 08:12:07,794 - mmseg - INFO - Iter [35400/160000] lr: 1.118e-06, eta: 1 day, 6:28:54, time: 0.916, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2348, decode.acc_seg: 71.8443, aux.loss_ce: 0.1220, aux.acc_seg: 70.2619, loss: 0.3568 +2022-03-14 08:12:51,375 - mmseg - INFO - Iter [35450/160000] lr: 1.118e-06, eta: 1 day, 6:28:08, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2397, decode.acc_seg: 75.0002, aux.loss_ce: 0.1269, aux.acc_seg: 73.2396, loss: 0.3666 +2022-03-14 08:13:34,706 - mmseg - INFO - Iter [35500/160000] lr: 1.117e-06, eta: 1 day, 6:27:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2300, decode.acc_seg: 73.2432, aux.loss_ce: 0.1191, aux.acc_seg: 71.7244, loss: 0.3491 +2022-03-14 08:14:18,090 - mmseg - INFO - Iter [35550/160000] lr: 1.117e-06, eta: 1 day, 6:26:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2283, decode.acc_seg: 73.0170, aux.loss_ce: 0.1172, aux.acc_seg: 71.5653, loss: 0.3455 +2022-03-14 08:15:01,383 - mmseg - INFO - Iter [35600/160000] lr: 1.116e-06, eta: 1 day, 6:25:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2365, decode.acc_seg: 73.4833, aux.loss_ce: 0.1222, aux.acc_seg: 72.0541, loss: 0.3588 +2022-03-14 08:15:45,006 - mmseg - INFO - Iter [35650/160000] lr: 1.116e-06, eta: 1 day, 6:25:03, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2306, decode.acc_seg: 74.0638, aux.loss_ce: 0.1192, aux.acc_seg: 72.5717, loss: 0.3498 +2022-03-14 08:16:28,360 - mmseg - INFO - Iter [35700/160000] lr: 1.115e-06, eta: 1 day, 6:24:17, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2303, decode.acc_seg: 72.4662, aux.loss_ce: 0.1215, aux.acc_seg: 70.7474, loss: 0.3518 +2022-03-14 08:17:11,817 - mmseg - INFO - Iter [35750/160000] lr: 1.115e-06, eta: 1 day, 6:23:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2547, decode.acc_seg: 71.9809, aux.loss_ce: 0.1322, aux.acc_seg: 70.3515, loss: 0.3869 +2022-03-14 08:17:55,303 - mmseg - INFO - Iter [35800/160000] lr: 1.115e-06, eta: 1 day, 6:22:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2387, decode.acc_seg: 73.6598, aux.loss_ce: 0.1252, aux.acc_seg: 72.0210, loss: 0.3639 +2022-03-14 08:18:38,595 - mmseg - INFO - Iter [35850/160000] lr: 1.114e-06, eta: 1 day, 6:21:58, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2296, decode.acc_seg: 73.4533, aux.loss_ce: 0.1194, aux.acc_seg: 72.0007, loss: 0.3490 +2022-03-14 08:19:21,809 - mmseg - INFO - Iter [35900/160000] lr: 1.114e-06, eta: 1 day, 6:21:11, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2274, decode.acc_seg: 72.6066, aux.loss_ce: 0.1167, aux.acc_seg: 71.1876, loss: 0.3441 +2022-03-14 08:20:05,196 - mmseg - INFO - Iter [35950/160000] lr: 1.113e-06, eta: 1 day, 6:20:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2239, decode.acc_seg: 72.6412, aux.loss_ce: 0.1185, aux.acc_seg: 71.1321, loss: 0.3424 +2022-03-14 08:20:48,614 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 08:20:48,618 - mmseg - INFO - Iter [36000/160000] lr: 1.113e-06, eta: 1 day, 6:19:39, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2342, decode.acc_seg: 72.1001, aux.loss_ce: 0.1207, aux.acc_seg: 70.4315, loss: 0.3549 +2022-03-14 08:21:32,019 - mmseg - INFO - Iter [36050/160000] lr: 1.112e-06, eta: 1 day, 6:18:53, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2472, decode.acc_seg: 72.8853, aux.loss_ce: 0.1298, aux.acc_seg: 71.0705, loss: 0.3770 +2022-03-14 08:22:15,264 - mmseg - INFO - Iter [36100/160000] lr: 1.112e-06, eta: 1 day, 6:18:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 72.1854, aux.loss_ce: 0.1200, aux.acc_seg: 70.8952, loss: 0.3544 +2022-03-14 08:22:58,742 - mmseg - INFO - Iter [36150/160000] lr: 1.111e-06, eta: 1 day, 6:17:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2321, decode.acc_seg: 72.0422, aux.loss_ce: 0.1213, aux.acc_seg: 70.6182, loss: 0.3534 +2022-03-14 08:23:42,295 - mmseg - INFO - Iter [36200/160000] lr: 1.111e-06, eta: 1 day, 6:16:35, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2517, decode.acc_seg: 72.5750, aux.loss_ce: 0.1303, aux.acc_seg: 70.9709, loss: 0.3819 +2022-03-14 08:24:25,649 - mmseg - INFO - Iter [36250/160000] lr: 1.111e-06, eta: 1 day, 6:15:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2431, decode.acc_seg: 73.5494, aux.loss_ce: 0.1238, aux.acc_seg: 72.3321, loss: 0.3668 +2022-03-14 08:25:09,006 - mmseg - INFO - Iter [36300/160000] lr: 1.110e-06, eta: 1 day, 6:15:02, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2262, decode.acc_seg: 71.9281, aux.loss_ce: 0.1162, aux.acc_seg: 70.5707, loss: 0.3424 +2022-03-14 08:25:52,442 - mmseg - INFO - Iter [36350/160000] lr: 1.110e-06, eta: 1 day, 6:14:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2432, decode.acc_seg: 72.3922, aux.loss_ce: 0.1265, aux.acc_seg: 70.7957, loss: 0.3698 +2022-03-14 08:26:35,810 - mmseg - INFO - Iter [36400/160000] lr: 1.109e-06, eta: 1 day, 6:13:30, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2188, decode.acc_seg: 73.4179, aux.loss_ce: 0.1146, aux.acc_seg: 71.9947, loss: 0.3333 +2022-03-14 08:27:19,395 - mmseg - INFO - Iter [36450/160000] lr: 1.109e-06, eta: 1 day, 6:12:44, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2424, decode.acc_seg: 72.5287, aux.loss_ce: 0.1237, aux.acc_seg: 71.2036, loss: 0.3661 +2022-03-14 08:28:02,908 - mmseg - INFO - Iter [36500/160000] lr: 1.108e-06, eta: 1 day, 6:11:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2467, decode.acc_seg: 71.5471, aux.loss_ce: 0.1288, aux.acc_seg: 69.9852, loss: 0.3755 +2022-03-14 08:28:46,302 - mmseg - INFO - Iter [36550/160000] lr: 1.108e-06, eta: 1 day, 6:11:13, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2355, decode.acc_seg: 73.2145, aux.loss_ce: 0.1246, aux.acc_seg: 71.5914, loss: 0.3600 +2022-03-14 08:29:29,785 - mmseg - INFO - Iter [36600/160000] lr: 1.107e-06, eta: 1 day, 6:10:27, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2450, decode.acc_seg: 72.9719, aux.loss_ce: 0.1269, aux.acc_seg: 71.5148, loss: 0.3719 +2022-03-14 08:30:15,677 - mmseg - INFO - Iter [36650/160000] lr: 1.107e-06, eta: 1 day, 6:09:49, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2416, decode.acc_seg: 72.8380, aux.loss_ce: 0.1261, aux.acc_seg: 71.2634, loss: 0.3677 +2022-03-14 08:30:59,111 - mmseg - INFO - Iter [36700/160000] lr: 1.106e-06, eta: 1 day, 6:09:03, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2261, decode.acc_seg: 73.3201, aux.loss_ce: 0.1151, aux.acc_seg: 72.1142, loss: 0.3413 +2022-03-14 08:31:42,411 - mmseg - INFO - Iter [36750/160000] lr: 1.106e-06, eta: 1 day, 6:08:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2227, decode.acc_seg: 74.2604, aux.loss_ce: 0.1150, aux.acc_seg: 72.8567, loss: 0.3377 +2022-03-14 08:32:25,988 - mmseg - INFO - Iter [36800/160000] lr: 1.106e-06, eta: 1 day, 6:07:31, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2407, decode.acc_seg: 73.7884, aux.loss_ce: 0.1227, aux.acc_seg: 72.2434, loss: 0.3634 +2022-03-14 08:33:09,408 - mmseg - INFO - Iter [36850/160000] lr: 1.105e-06, eta: 1 day, 6:06:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2278, decode.acc_seg: 73.2709, aux.loss_ce: 0.1180, aux.acc_seg: 71.7295, loss: 0.3458 +2022-03-14 08:33:52,736 - mmseg - INFO - Iter [36900/160000] lr: 1.105e-06, eta: 1 day, 6:05:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2400, decode.acc_seg: 73.7310, aux.loss_ce: 0.1228, aux.acc_seg: 72.3462, loss: 0.3628 +2022-03-14 08:34:36,368 - mmseg - INFO - Iter [36950/160000] lr: 1.104e-06, eta: 1 day, 6:05:14, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2403, decode.acc_seg: 73.2415, aux.loss_ce: 0.1227, aux.acc_seg: 71.7918, loss: 0.3630 +2022-03-14 08:35:19,564 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 08:35:19,567 - mmseg - INFO - Iter [37000/160000] lr: 1.104e-06, eta: 1 day, 6:04:27, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2445, decode.acc_seg: 73.9338, aux.loss_ce: 0.1270, aux.acc_seg: 72.4262, loss: 0.3716 +2022-03-14 08:36:02,741 - mmseg - INFO - Iter [37050/160000] lr: 1.103e-06, eta: 1 day, 6:03:40, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2217, decode.acc_seg: 73.4205, aux.loss_ce: 0.1147, aux.acc_seg: 72.0727, loss: 0.3364 +2022-03-14 08:36:46,134 - mmseg - INFO - Iter [37100/160000] lr: 1.103e-06, eta: 1 day, 6:02:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2296, decode.acc_seg: 73.9545, aux.loss_ce: 0.1202, aux.acc_seg: 72.3769, loss: 0.3498 +2022-03-14 08:37:29,624 - mmseg - INFO - Iter [37150/160000] lr: 1.102e-06, eta: 1 day, 6:02:08, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2413, decode.acc_seg: 72.6890, aux.loss_ce: 0.1257, aux.acc_seg: 71.0958, loss: 0.3670 +2022-03-14 08:38:12,772 - mmseg - INFO - Iter [37200/160000] lr: 1.102e-06, eta: 1 day, 6:01:21, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2416, decode.acc_seg: 72.9841, aux.loss_ce: 0.1271, aux.acc_seg: 71.3899, loss: 0.3687 +2022-03-14 08:38:56,252 - mmseg - INFO - Iter [37250/160000] lr: 1.102e-06, eta: 1 day, 6:00:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2365, decode.acc_seg: 72.7765, aux.loss_ce: 0.1215, aux.acc_seg: 71.4884, loss: 0.3580 +2022-03-14 08:39:39,576 - mmseg - INFO - Iter [37300/160000] lr: 1.101e-06, eta: 1 day, 5:59:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2451, decode.acc_seg: 72.8702, aux.loss_ce: 0.1284, aux.acc_seg: 71.2046, loss: 0.3735 +2022-03-14 08:40:23,050 - mmseg - INFO - Iter [37350/160000] lr: 1.101e-06, eta: 1 day, 5:59:04, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2402, decode.acc_seg: 72.7450, aux.loss_ce: 0.1228, aux.acc_seg: 71.4136, loss: 0.3630 +2022-03-14 08:41:06,410 - mmseg - INFO - Iter [37400/160000] lr: 1.100e-06, eta: 1 day, 5:58:18, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2453, decode.acc_seg: 73.3195, aux.loss_ce: 0.1261, aux.acc_seg: 71.8364, loss: 0.3714 +2022-03-14 08:41:49,954 - mmseg - INFO - Iter [37450/160000] lr: 1.100e-06, eta: 1 day, 5:57:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2285, decode.acc_seg: 71.8457, aux.loss_ce: 0.1201, aux.acc_seg: 70.3746, loss: 0.3485 +2022-03-14 08:42:33,461 - mmseg - INFO - Iter [37500/160000] lr: 1.099e-06, eta: 1 day, 5:56:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2550, decode.acc_seg: 72.5187, aux.loss_ce: 0.1313, aux.acc_seg: 70.9496, loss: 0.3863 +2022-03-14 08:43:17,062 - mmseg - INFO - Iter [37550/160000] lr: 1.099e-06, eta: 1 day, 5:56:01, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2396, decode.acc_seg: 74.1521, aux.loss_ce: 0.1230, aux.acc_seg: 72.7490, loss: 0.3627 +2022-03-14 08:44:00,661 - mmseg - INFO - Iter [37600/160000] lr: 1.098e-06, eta: 1 day, 5:55:16, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 73.0919, aux.loss_ce: 0.1227, aux.acc_seg: 71.4754, loss: 0.3571 +2022-03-14 08:44:44,217 - mmseg - INFO - Iter [37650/160000] lr: 1.098e-06, eta: 1 day, 5:54:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2312, decode.acc_seg: 72.4635, aux.loss_ce: 0.1199, aux.acc_seg: 71.0112, loss: 0.3510 +2022-03-14 08:45:27,441 - mmseg - INFO - Iter [37700/160000] lr: 1.097e-06, eta: 1 day, 5:53:44, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2398, decode.acc_seg: 72.4417, aux.loss_ce: 0.1240, aux.acc_seg: 71.0504, loss: 0.3638 +2022-03-14 08:46:10,747 - mmseg - INFO - Iter [37750/160000] lr: 1.097e-06, eta: 1 day, 5:52:58, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2295, decode.acc_seg: 72.4985, aux.loss_ce: 0.1205, aux.acc_seg: 70.9498, loss: 0.3500 +2022-03-14 08:46:54,197 - mmseg - INFO - Iter [37800/160000] lr: 1.097e-06, eta: 1 day, 5:52:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2428, decode.acc_seg: 73.4851, aux.loss_ce: 0.1220, aux.acc_seg: 72.2413, loss: 0.3648 +2022-03-14 08:47:37,778 - mmseg - INFO - Iter [37850/160000] lr: 1.096e-06, eta: 1 day, 5:51:26, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2504, decode.acc_seg: 73.0772, aux.loss_ce: 0.1295, aux.acc_seg: 71.7526, loss: 0.3798 +2022-03-14 08:48:23,668 - mmseg - INFO - Iter [37900/160000] lr: 1.096e-06, eta: 1 day, 5:50:49, time: 0.918, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2404, decode.acc_seg: 72.4812, aux.loss_ce: 0.1234, aux.acc_seg: 70.9913, loss: 0.3638 +2022-03-14 08:49:07,299 - mmseg - INFO - Iter [37950/160000] lr: 1.095e-06, eta: 1 day, 5:50:03, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2469, decode.acc_seg: 73.6274, aux.loss_ce: 0.1291, aux.acc_seg: 72.1835, loss: 0.3761 +2022-03-14 08:49:50,658 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 08:49:50,661 - mmseg - INFO - Iter [38000/160000] lr: 1.095e-06, eta: 1 day, 5:49:17, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2332, decode.acc_seg: 73.3127, aux.loss_ce: 0.1208, aux.acc_seg: 71.7712, loss: 0.3541 +2022-03-14 08:50:34,168 - mmseg - INFO - Iter [38050/160000] lr: 1.094e-06, eta: 1 day, 5:48:32, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2264, decode.acc_seg: 74.1551, aux.loss_ce: 0.1167, aux.acc_seg: 72.7835, loss: 0.3431 +2022-03-14 08:51:18,062 - mmseg - INFO - Iter [38100/160000] lr: 1.094e-06, eta: 1 day, 5:47:47, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2416, decode.acc_seg: 72.8223, aux.loss_ce: 0.1233, aux.acc_seg: 71.4896, loss: 0.3650 +2022-03-14 08:52:01,447 - mmseg - INFO - Iter [38150/160000] lr: 1.093e-06, eta: 1 day, 5:47:01, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 72.2205, aux.loss_ce: 0.1233, aux.acc_seg: 70.4657, loss: 0.3577 +2022-03-14 08:52:44,972 - mmseg - INFO - Iter [38200/160000] lr: 1.093e-06, eta: 1 day, 5:46:16, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2329, decode.acc_seg: 73.0067, aux.loss_ce: 0.1180, aux.acc_seg: 71.5093, loss: 0.3509 +2022-03-14 08:53:28,558 - mmseg - INFO - Iter [38250/160000] lr: 1.093e-06, eta: 1 day, 5:45:31, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2255, decode.acc_seg: 72.7946, aux.loss_ce: 0.1172, aux.acc_seg: 71.4558, loss: 0.3427 +2022-03-14 08:54:12,067 - mmseg - INFO - Iter [38300/160000] lr: 1.092e-06, eta: 1 day, 5:44:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2311, decode.acc_seg: 73.8482, aux.loss_ce: 0.1204, aux.acc_seg: 72.1865, loss: 0.3515 +2022-03-14 08:54:55,402 - mmseg - INFO - Iter [38350/160000] lr: 1.092e-06, eta: 1 day, 5:43:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2187, decode.acc_seg: 72.4292, aux.loss_ce: 0.1136, aux.acc_seg: 71.1031, loss: 0.3322 +2022-03-14 08:55:38,744 - mmseg - INFO - Iter [38400/160000] lr: 1.091e-06, eta: 1 day, 5:43:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2273, decode.acc_seg: 72.8727, aux.loss_ce: 0.1185, aux.acc_seg: 71.4664, loss: 0.3459 +2022-03-14 08:56:22,162 - mmseg - INFO - Iter [38450/160000] lr: 1.091e-06, eta: 1 day, 5:42:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2178, decode.acc_seg: 73.0424, aux.loss_ce: 0.1145, aux.acc_seg: 71.4947, loss: 0.3324 +2022-03-14 08:57:05,435 - mmseg - INFO - Iter [38500/160000] lr: 1.090e-06, eta: 1 day, 5:41:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2256, decode.acc_seg: 72.0194, aux.loss_ce: 0.1193, aux.acc_seg: 70.3383, loss: 0.3449 +2022-03-14 08:57:48,637 - mmseg - INFO - Iter [38550/160000] lr: 1.090e-06, eta: 1 day, 5:40:54, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2256, decode.acc_seg: 73.4813, aux.loss_ce: 0.1166, aux.acc_seg: 72.0328, loss: 0.3422 +2022-03-14 08:58:32,013 - mmseg - INFO - Iter [38600/160000] lr: 1.089e-06, eta: 1 day, 5:40:08, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2430, decode.acc_seg: 74.4929, aux.loss_ce: 0.1248, aux.acc_seg: 73.0678, loss: 0.3678 +2022-03-14 08:59:15,332 - mmseg - INFO - Iter [38650/160000] lr: 1.089e-06, eta: 1 day, 5:39:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2291, decode.acc_seg: 73.8011, aux.loss_ce: 0.1184, aux.acc_seg: 72.4970, loss: 0.3475 +2022-03-14 08:59:58,879 - mmseg - INFO - Iter [38700/160000] lr: 1.089e-06, eta: 1 day, 5:38:37, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2275, decode.acc_seg: 73.7276, aux.loss_ce: 0.1178, aux.acc_seg: 72.1568, loss: 0.3453 +2022-03-14 09:00:42,351 - mmseg - INFO - Iter [38750/160000] lr: 1.088e-06, eta: 1 day, 5:37:51, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2254, decode.acc_seg: 73.0084, aux.loss_ce: 0.1165, aux.acc_seg: 71.5468, loss: 0.3419 +2022-03-14 09:01:25,869 - mmseg - INFO - Iter [38800/160000] lr: 1.088e-06, eta: 1 day, 5:37:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2392, decode.acc_seg: 73.7699, aux.loss_ce: 0.1231, aux.acc_seg: 72.4415, loss: 0.3624 +2022-03-14 09:02:09,334 - mmseg - INFO - Iter [38850/160000] lr: 1.087e-06, eta: 1 day, 5:36:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2341, decode.acc_seg: 73.4511, aux.loss_ce: 0.1193, aux.acc_seg: 72.0950, loss: 0.3533 +2022-03-14 09:02:52,917 - mmseg - INFO - Iter [38900/160000] lr: 1.087e-06, eta: 1 day, 5:35:35, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2467, decode.acc_seg: 72.4701, aux.loss_ce: 0.1266, aux.acc_seg: 70.9358, loss: 0.3733 +2022-03-14 09:03:36,253 - mmseg - INFO - Iter [38950/160000] lr: 1.086e-06, eta: 1 day, 5:34:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2375, decode.acc_seg: 72.9036, aux.loss_ce: 0.1245, aux.acc_seg: 71.3031, loss: 0.3620 +2022-03-14 09:04:19,746 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 09:04:19,749 - mmseg - INFO - Iter [39000/160000] lr: 1.086e-06, eta: 1 day, 5:34:03, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2343, decode.acc_seg: 72.3423, aux.loss_ce: 0.1217, aux.acc_seg: 70.8034, loss: 0.3561 +2022-03-14 09:05:03,125 - mmseg - INFO - Iter [39050/160000] lr: 1.085e-06, eta: 1 day, 5:33:18, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2321, decode.acc_seg: 71.8991, aux.loss_ce: 0.1200, aux.acc_seg: 70.3968, loss: 0.3522 +2022-03-14 09:05:46,478 - mmseg - INFO - Iter [39100/160000] lr: 1.085e-06, eta: 1 day, 5:32:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2243, decode.acc_seg: 73.8217, aux.loss_ce: 0.1153, aux.acc_seg: 72.4561, loss: 0.3396 +2022-03-14 09:06:29,807 - mmseg - INFO - Iter [39150/160000] lr: 1.084e-06, eta: 1 day, 5:31:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2361, decode.acc_seg: 71.8407, aux.loss_ce: 0.1220, aux.acc_seg: 70.2491, loss: 0.3581 +2022-03-14 09:07:15,695 - mmseg - INFO - Iter [39200/160000] lr: 1.084e-06, eta: 1 day, 5:31:07, time: 0.916, data_time: 0.054, memory: 73034, decode.loss_ce: 0.2171, decode.acc_seg: 74.8700, aux.loss_ce: 0.1142, aux.acc_seg: 73.3633, loss: 0.3313 +2022-03-14 09:07:59,105 - mmseg - INFO - Iter [39250/160000] lr: 1.084e-06, eta: 1 day, 5:30:22, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 71.3132, aux.loss_ce: 0.1193, aux.acc_seg: 69.9771, loss: 0.3537 +2022-03-14 09:08:42,698 - mmseg - INFO - Iter [39300/160000] lr: 1.083e-06, eta: 1 day, 5:29:37, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2211, decode.acc_seg: 74.3643, aux.loss_ce: 0.1153, aux.acc_seg: 72.9228, loss: 0.3364 +2022-03-14 09:09:26,032 - mmseg - INFO - Iter [39350/160000] lr: 1.083e-06, eta: 1 day, 5:28:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2158, decode.acc_seg: 74.0523, aux.loss_ce: 0.1144, aux.acc_seg: 72.5344, loss: 0.3302 +2022-03-14 09:10:09,464 - mmseg - INFO - Iter [39400/160000] lr: 1.082e-06, eta: 1 day, 5:28:05, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2334, decode.acc_seg: 71.2993, aux.loss_ce: 0.1226, aux.acc_seg: 69.6092, loss: 0.3560 +2022-03-14 09:10:52,766 - mmseg - INFO - Iter [39450/160000] lr: 1.082e-06, eta: 1 day, 5:27:19, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2294, decode.acc_seg: 73.4591, aux.loss_ce: 0.1162, aux.acc_seg: 72.0822, loss: 0.3455 +2022-03-14 09:11:36,158 - mmseg - INFO - Iter [39500/160000] lr: 1.081e-06, eta: 1 day, 5:26:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2182, decode.acc_seg: 73.1593, aux.loss_ce: 0.1116, aux.acc_seg: 71.8417, loss: 0.3298 +2022-03-14 09:12:19,688 - mmseg - INFO - Iter [39550/160000] lr: 1.081e-06, eta: 1 day, 5:25:48, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2135, decode.acc_seg: 73.9802, aux.loss_ce: 0.1119, aux.acc_seg: 72.6551, loss: 0.3254 +2022-03-14 09:13:03,141 - mmseg - INFO - Iter [39600/160000] lr: 1.080e-06, eta: 1 day, 5:25:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2270, decode.acc_seg: 73.7089, aux.loss_ce: 0.1165, aux.acc_seg: 72.3856, loss: 0.3435 +2022-03-14 09:13:46,583 - mmseg - INFO - Iter [39650/160000] lr: 1.080e-06, eta: 1 day, 5:24:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2329, decode.acc_seg: 72.5991, aux.loss_ce: 0.1182, aux.acc_seg: 71.2622, loss: 0.3510 +2022-03-14 09:14:30,073 - mmseg - INFO - Iter [39700/160000] lr: 1.080e-06, eta: 1 day, 5:23:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2388, decode.acc_seg: 73.7533, aux.loss_ce: 0.1226, aux.acc_seg: 72.2363, loss: 0.3614 +2022-03-14 09:15:13,513 - mmseg - INFO - Iter [39750/160000] lr: 1.079e-06, eta: 1 day, 5:22:45, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2286, decode.acc_seg: 73.4777, aux.loss_ce: 0.1161, aux.acc_seg: 72.0573, loss: 0.3446 +2022-03-14 09:15:56,885 - mmseg - INFO - Iter [39800/160000] lr: 1.079e-06, eta: 1 day, 5:22:00, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2349, decode.acc_seg: 72.2229, aux.loss_ce: 0.1223, aux.acc_seg: 70.6033, loss: 0.3572 +2022-03-14 09:16:40,354 - mmseg - INFO - Iter [39850/160000] lr: 1.078e-06, eta: 1 day, 5:21:14, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2356, decode.acc_seg: 73.4429, aux.loss_ce: 0.1217, aux.acc_seg: 72.1733, loss: 0.3572 +2022-03-14 09:17:23,615 - mmseg - INFO - Iter [39900/160000] lr: 1.078e-06, eta: 1 day, 5:20:28, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2337, decode.acc_seg: 72.7320, aux.loss_ce: 0.1224, aux.acc_seg: 71.2078, loss: 0.3561 +2022-03-14 09:18:07,106 - mmseg - INFO - Iter [39950/160000] lr: 1.077e-06, eta: 1 day, 5:19:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2329, decode.acc_seg: 74.4067, aux.loss_ce: 0.1188, aux.acc_seg: 73.0886, loss: 0.3517 +2022-03-14 09:18:50,393 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 09:18:50,402 - mmseg - INFO - Iter [40000/160000] lr: 1.077e-06, eta: 1 day, 5:18:57, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2198, decode.acc_seg: 73.1718, aux.loss_ce: 0.1126, aux.acc_seg: 71.8603, loss: 0.3324 +2022-03-14 09:19:33,625 - mmseg - INFO - Iter [40050/160000] lr: 1.076e-06, eta: 1 day, 5:18:10, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2189, decode.acc_seg: 73.1571, aux.loss_ce: 0.1157, aux.acc_seg: 71.6048, loss: 0.3345 +2022-03-14 09:20:17,059 - mmseg - INFO - Iter [40100/160000] lr: 1.076e-06, eta: 1 day, 5:17:25, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2245, decode.acc_seg: 73.0318, aux.loss_ce: 0.1152, aux.acc_seg: 71.6878, loss: 0.3397 +2022-03-14 09:21:00,568 - mmseg - INFO - Iter [40150/160000] lr: 1.076e-06, eta: 1 day, 5:16:39, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2255, decode.acc_seg: 72.8297, aux.loss_ce: 0.1157, aux.acc_seg: 71.4979, loss: 0.3412 +2022-03-14 09:21:43,894 - mmseg - INFO - Iter [40200/160000] lr: 1.075e-06, eta: 1 day, 5:15:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2245, decode.acc_seg: 73.7008, aux.loss_ce: 0.1152, aux.acc_seg: 72.3316, loss: 0.3397 +2022-03-14 09:22:27,216 - mmseg - INFO - Iter [40250/160000] lr: 1.075e-06, eta: 1 day, 5:15:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2424, decode.acc_seg: 73.4128, aux.loss_ce: 0.1239, aux.acc_seg: 71.9922, loss: 0.3663 +2022-03-14 09:23:10,541 - mmseg - INFO - Iter [40300/160000] lr: 1.074e-06, eta: 1 day, 5:14:22, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2143, decode.acc_seg: 74.1617, aux.loss_ce: 0.1138, aux.acc_seg: 72.6459, loss: 0.3282 +2022-03-14 09:23:53,953 - mmseg - INFO - Iter [40350/160000] lr: 1.074e-06, eta: 1 day, 5:13:36, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2373, decode.acc_seg: 73.9085, aux.loss_ce: 0.1209, aux.acc_seg: 72.5184, loss: 0.3582 +2022-03-14 09:24:37,595 - mmseg - INFO - Iter [40400/160000] lr: 1.073e-06, eta: 1 day, 5:12:51, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2359, decode.acc_seg: 71.7404, aux.loss_ce: 0.1231, aux.acc_seg: 70.2054, loss: 0.3590 +2022-03-14 09:25:23,783 - mmseg - INFO - Iter [40450/160000] lr: 1.073e-06, eta: 1 day, 5:12:14, time: 0.924, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2381, decode.acc_seg: 72.5331, aux.loss_ce: 0.1264, aux.acc_seg: 70.5024, loss: 0.3645 +2022-03-14 09:26:07,277 - mmseg - INFO - Iter [40500/160000] lr: 1.072e-06, eta: 1 day, 5:11:28, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2145, decode.acc_seg: 73.6099, aux.loss_ce: 0.1105, aux.acc_seg: 72.3304, loss: 0.3250 +2022-03-14 09:26:50,765 - mmseg - INFO - Iter [40550/160000] lr: 1.072e-06, eta: 1 day, 5:10:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2135, decode.acc_seg: 73.2836, aux.loss_ce: 0.1109, aux.acc_seg: 71.9125, loss: 0.3244 +2022-03-14 09:27:34,285 - mmseg - INFO - Iter [40600/160000] lr: 1.071e-06, eta: 1 day, 5:09:58, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2120, decode.acc_seg: 72.6286, aux.loss_ce: 0.1111, aux.acc_seg: 71.2948, loss: 0.3231 +2022-03-14 09:28:17,740 - mmseg - INFO - Iter [40650/160000] lr: 1.071e-06, eta: 1 day, 5:09:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2179, decode.acc_seg: 72.1315, aux.loss_ce: 0.1158, aux.acc_seg: 70.4657, loss: 0.3337 +2022-03-14 09:29:01,009 - mmseg - INFO - Iter [40700/160000] lr: 1.071e-06, eta: 1 day, 5:08:26, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2314, decode.acc_seg: 73.8719, aux.loss_ce: 0.1180, aux.acc_seg: 72.5156, loss: 0.3494 +2022-03-14 09:29:44,429 - mmseg - INFO - Iter [40750/160000] lr: 1.070e-06, eta: 1 day, 5:07:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2268, decode.acc_seg: 74.9946, aux.loss_ce: 0.1173, aux.acc_seg: 73.4578, loss: 0.3441 +2022-03-14 09:30:27,723 - mmseg - INFO - Iter [40800/160000] lr: 1.070e-06, eta: 1 day, 5:06:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2268, decode.acc_seg: 74.3376, aux.loss_ce: 0.1184, aux.acc_seg: 72.8664, loss: 0.3452 +2022-03-14 09:31:11,199 - mmseg - INFO - Iter [40850/160000] lr: 1.069e-06, eta: 1 day, 5:06:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2152, decode.acc_seg: 72.4903, aux.loss_ce: 0.1118, aux.acc_seg: 71.1174, loss: 0.3270 +2022-03-14 09:31:54,722 - mmseg - INFO - Iter [40900/160000] lr: 1.069e-06, eta: 1 day, 5:05:24, time: 0.872, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2268, decode.acc_seg: 73.5262, aux.loss_ce: 0.1200, aux.acc_seg: 72.0532, loss: 0.3468 +2022-03-14 09:32:38,292 - mmseg - INFO - Iter [40950/160000] lr: 1.068e-06, eta: 1 day, 5:04:39, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2228, decode.acc_seg: 73.5878, aux.loss_ce: 0.1154, aux.acc_seg: 72.0898, loss: 0.3382 +2022-03-14 09:33:21,804 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 09:33:21,806 - mmseg - INFO - Iter [41000/160000] lr: 1.068e-06, eta: 1 day, 5:03:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2222, decode.acc_seg: 73.4968, aux.loss_ce: 0.1147, aux.acc_seg: 72.0595, loss: 0.3369 +2022-03-14 09:34:05,252 - mmseg - INFO - Iter [41050/160000] lr: 1.067e-06, eta: 1 day, 5:03:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2210, decode.acc_seg: 72.4419, aux.loss_ce: 0.1157, aux.acc_seg: 70.8823, loss: 0.3367 +2022-03-14 09:34:48,627 - mmseg - INFO - Iter [41100/160000] lr: 1.067e-06, eta: 1 day, 5:02:23, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2100, decode.acc_seg: 74.4042, aux.loss_ce: 0.1101, aux.acc_seg: 72.9989, loss: 0.3201 +2022-03-14 09:35:31,887 - mmseg - INFO - Iter [41150/160000] lr: 1.067e-06, eta: 1 day, 5:01:37, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2394, decode.acc_seg: 73.5163, aux.loss_ce: 0.1242, aux.acc_seg: 71.7843, loss: 0.3636 +2022-03-14 09:36:15,060 - mmseg - INFO - Iter [41200/160000] lr: 1.066e-06, eta: 1 day, 5:00:50, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2135, decode.acc_seg: 73.3284, aux.loss_ce: 0.1101, aux.acc_seg: 71.9447, loss: 0.3236 +2022-03-14 09:36:58,375 - mmseg - INFO - Iter [41250/160000] lr: 1.066e-06, eta: 1 day, 5:00:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2386, decode.acc_seg: 72.0997, aux.loss_ce: 0.1226, aux.acc_seg: 70.7041, loss: 0.3612 +2022-03-14 09:37:41,591 - mmseg - INFO - Iter [41300/160000] lr: 1.065e-06, eta: 1 day, 4:59:18, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2100, decode.acc_seg: 73.4931, aux.loss_ce: 0.1096, aux.acc_seg: 72.0412, loss: 0.3196 +2022-03-14 09:38:24,995 - mmseg - INFO - Iter [41350/160000] lr: 1.065e-06, eta: 1 day, 4:58:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2300, decode.acc_seg: 72.1900, aux.loss_ce: 0.1171, aux.acc_seg: 70.8345, loss: 0.3471 +2022-03-14 09:39:08,549 - mmseg - INFO - Iter [41400/160000] lr: 1.064e-06, eta: 1 day, 4:57:48, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2293, decode.acc_seg: 72.4303, aux.loss_ce: 0.1161, aux.acc_seg: 70.9979, loss: 0.3455 +2022-03-14 09:39:52,010 - mmseg - INFO - Iter [41450/160000] lr: 1.064e-06, eta: 1 day, 4:57:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2281, decode.acc_seg: 73.1832, aux.loss_ce: 0.1184, aux.acc_seg: 71.7295, loss: 0.3466 +2022-03-14 09:40:35,404 - mmseg - INFO - Iter [41500/160000] lr: 1.063e-06, eta: 1 day, 4:56:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2423, decode.acc_seg: 72.6382, aux.loss_ce: 0.1235, aux.acc_seg: 71.2609, loss: 0.3657 +2022-03-14 09:41:18,783 - mmseg - INFO - Iter [41550/160000] lr: 1.063e-06, eta: 1 day, 4:55:31, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2450, decode.acc_seg: 72.7785, aux.loss_ce: 0.1229, aux.acc_seg: 71.4844, loss: 0.3678 +2022-03-14 09:42:02,149 - mmseg - INFO - Iter [41600/160000] lr: 1.062e-06, eta: 1 day, 4:54:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2444, decode.acc_seg: 72.4351, aux.loss_ce: 0.1269, aux.acc_seg: 70.7850, loss: 0.3713 +2022-03-14 09:42:45,467 - mmseg - INFO - Iter [41650/160000] lr: 1.062e-06, eta: 1 day, 4:54:00, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2270, decode.acc_seg: 72.4742, aux.loss_ce: 0.1161, aux.acc_seg: 71.1916, loss: 0.3431 +2022-03-14 09:43:31,519 - mmseg - INFO - Iter [41700/160000] lr: 1.062e-06, eta: 1 day, 4:53:22, time: 0.921, data_time: 0.053, memory: 73034, decode.loss_ce: 0.2344, decode.acc_seg: 74.4041, aux.loss_ce: 0.1192, aux.acc_seg: 72.9909, loss: 0.3535 +2022-03-14 09:44:14,991 - mmseg - INFO - Iter [41750/160000] lr: 1.061e-06, eta: 1 day, 4:52:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2213, decode.acc_seg: 73.8047, aux.loss_ce: 0.1144, aux.acc_seg: 72.3628, loss: 0.3357 +2022-03-14 09:44:58,455 - mmseg - INFO - Iter [41800/160000] lr: 1.061e-06, eta: 1 day, 4:51:51, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2114, decode.acc_seg: 72.5698, aux.loss_ce: 0.1109, aux.acc_seg: 71.0455, loss: 0.3223 +2022-03-14 09:45:41,782 - mmseg - INFO - Iter [41850/160000] lr: 1.060e-06, eta: 1 day, 4:51:05, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2114, decode.acc_seg: 72.3399, aux.loss_ce: 0.1100, aux.acc_seg: 70.9130, loss: 0.3214 +2022-03-14 09:46:25,308 - mmseg - INFO - Iter [41900/160000] lr: 1.060e-06, eta: 1 day, 4:50:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2220, decode.acc_seg: 74.3754, aux.loss_ce: 0.1133, aux.acc_seg: 73.1501, loss: 0.3353 +2022-03-14 09:47:08,705 - mmseg - INFO - Iter [41950/160000] lr: 1.059e-06, eta: 1 day, 4:49:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2226, decode.acc_seg: 73.3568, aux.loss_ce: 0.1151, aux.acc_seg: 72.0203, loss: 0.3377 +2022-03-14 09:47:52,110 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 09:47:52,116 - mmseg - INFO - Iter [42000/160000] lr: 1.059e-06, eta: 1 day, 4:48:49, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2132, decode.acc_seg: 73.3363, aux.loss_ce: 0.1109, aux.acc_seg: 71.8506, loss: 0.3241 +2022-03-14 09:48:35,726 - mmseg - INFO - Iter [42050/160000] lr: 1.058e-06, eta: 1 day, 4:48:04, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2238, decode.acc_seg: 73.3096, aux.loss_ce: 0.1172, aux.acc_seg: 71.8882, loss: 0.3410 +2022-03-14 09:49:19,024 - mmseg - INFO - Iter [42100/160000] lr: 1.058e-06, eta: 1 day, 4:47:18, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2131, decode.acc_seg: 73.7929, aux.loss_ce: 0.1106, aux.acc_seg: 72.3078, loss: 0.3237 +2022-03-14 09:50:02,404 - mmseg - INFO - Iter [42150/160000] lr: 1.058e-06, eta: 1 day, 4:46:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2128, decode.acc_seg: 74.7690, aux.loss_ce: 0.1131, aux.acc_seg: 73.2226, loss: 0.3259 +2022-03-14 09:50:45,883 - mmseg - INFO - Iter [42200/160000] lr: 1.057e-06, eta: 1 day, 4:45:48, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2151, decode.acc_seg: 74.8943, aux.loss_ce: 0.1123, aux.acc_seg: 73.5657, loss: 0.3274 +2022-03-14 09:51:29,450 - mmseg - INFO - Iter [42250/160000] lr: 1.057e-06, eta: 1 day, 4:45:03, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2127, decode.acc_seg: 72.7675, aux.loss_ce: 0.1130, aux.acc_seg: 71.2969, loss: 0.3257 +2022-03-14 09:52:13,098 - mmseg - INFO - Iter [42300/160000] lr: 1.056e-06, eta: 1 day, 4:44:18, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2274, decode.acc_seg: 73.1149, aux.loss_ce: 0.1192, aux.acc_seg: 71.6041, loss: 0.3466 +2022-03-14 09:52:56,839 - mmseg - INFO - Iter [42350/160000] lr: 1.056e-06, eta: 1 day, 4:43:33, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2302, decode.acc_seg: 74.1247, aux.loss_ce: 0.1190, aux.acc_seg: 72.6866, loss: 0.3491 +2022-03-14 09:53:40,177 - mmseg - INFO - Iter [42400/160000] lr: 1.055e-06, eta: 1 day, 4:42:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2140, decode.acc_seg: 74.3644, aux.loss_ce: 0.1097, aux.acc_seg: 73.1177, loss: 0.3237 +2022-03-14 09:54:23,737 - mmseg - INFO - Iter [42450/160000] lr: 1.055e-06, eta: 1 day, 4:42:02, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2052, decode.acc_seg: 74.7891, aux.loss_ce: 0.1076, aux.acc_seg: 73.4082, loss: 0.3128 +2022-03-14 09:55:07,363 - mmseg - INFO - Iter [42500/160000] lr: 1.054e-06, eta: 1 day, 4:41:18, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2190, decode.acc_seg: 73.5714, aux.loss_ce: 0.1162, aux.acc_seg: 71.8844, loss: 0.3353 +2022-03-14 09:55:50,598 - mmseg - INFO - Iter [42550/160000] lr: 1.054e-06, eta: 1 day, 4:40:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2285, decode.acc_seg: 74.3518, aux.loss_ce: 0.1190, aux.acc_seg: 72.9383, loss: 0.3474 +2022-03-14 09:56:34,128 - mmseg - INFO - Iter [42600/160000] lr: 1.054e-06, eta: 1 day, 4:39:47, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2171, decode.acc_seg: 72.5685, aux.loss_ce: 0.1103, aux.acc_seg: 71.2544, loss: 0.3273 +2022-03-14 09:57:17,410 - mmseg - INFO - Iter [42650/160000] lr: 1.053e-06, eta: 1 day, 4:39:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2174, decode.acc_seg: 72.4752, aux.loss_ce: 0.1123, aux.acc_seg: 71.0946, loss: 0.3297 +2022-03-14 09:58:00,801 - mmseg - INFO - Iter [42700/160000] lr: 1.053e-06, eta: 1 day, 4:38:16, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2199, decode.acc_seg: 72.0388, aux.loss_ce: 0.1177, aux.acc_seg: 70.3639, loss: 0.3376 +2022-03-14 09:58:44,236 - mmseg - INFO - Iter [42750/160000] lr: 1.052e-06, eta: 1 day, 4:37:30, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2208, decode.acc_seg: 72.9333, aux.loss_ce: 0.1129, aux.acc_seg: 71.5713, loss: 0.3338 +2022-03-14 09:59:27,719 - mmseg - INFO - Iter [42800/160000] lr: 1.052e-06, eta: 1 day, 4:36:45, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2213, decode.acc_seg: 72.6539, aux.loss_ce: 0.1128, aux.acc_seg: 71.3531, loss: 0.3340 +2022-03-14 10:00:11,383 - mmseg - INFO - Iter [42850/160000] lr: 1.051e-06, eta: 1 day, 4:36:00, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2108, decode.acc_seg: 73.3929, aux.loss_ce: 0.1080, aux.acc_seg: 72.1521, loss: 0.3187 +2022-03-14 10:00:54,909 - mmseg - INFO - Iter [42900/160000] lr: 1.051e-06, eta: 1 day, 4:35:15, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2310, decode.acc_seg: 73.5112, aux.loss_ce: 0.1216, aux.acc_seg: 71.7246, loss: 0.3527 +2022-03-14 10:01:40,845 - mmseg - INFO - Iter [42950/160000] lr: 1.050e-06, eta: 1 day, 4:34:37, time: 0.919, data_time: 0.055, memory: 73034, decode.loss_ce: 0.2323, decode.acc_seg: 73.0391, aux.loss_ce: 0.1166, aux.acc_seg: 71.8017, loss: 0.3489 +2022-03-14 10:02:24,383 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 10:02:24,386 - mmseg - INFO - Iter [43000/160000] lr: 1.050e-06, eta: 1 day, 4:33:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2154, decode.acc_seg: 74.2310, aux.loss_ce: 0.1116, aux.acc_seg: 72.8135, loss: 0.3270 +2022-03-14 10:03:07,609 - mmseg - INFO - Iter [43050/160000] lr: 1.049e-06, eta: 1 day, 4:33:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2076, decode.acc_seg: 73.1232, aux.loss_ce: 0.1088, aux.acc_seg: 71.6792, loss: 0.3164 +2022-03-14 10:03:50,909 - mmseg - INFO - Iter [43100/160000] lr: 1.049e-06, eta: 1 day, 4:32:20, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2154, decode.acc_seg: 73.5955, aux.loss_ce: 0.1128, aux.acc_seg: 72.0888, loss: 0.3282 +2022-03-14 10:04:34,365 - mmseg - INFO - Iter [43150/160000] lr: 1.049e-06, eta: 1 day, 4:31:35, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2199, decode.acc_seg: 72.9277, aux.loss_ce: 0.1164, aux.acc_seg: 71.2729, loss: 0.3362 +2022-03-14 10:05:17,958 - mmseg - INFO - Iter [43200/160000] lr: 1.048e-06, eta: 1 day, 4:30:50, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2238, decode.acc_seg: 73.5044, aux.loss_ce: 0.1158, aux.acc_seg: 71.8064, loss: 0.3397 +2022-03-14 10:06:01,406 - mmseg - INFO - Iter [43250/160000] lr: 1.048e-06, eta: 1 day, 4:30:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2183, decode.acc_seg: 73.9093, aux.loss_ce: 0.1133, aux.acc_seg: 72.3100, loss: 0.3315 +2022-03-14 10:06:44,872 - mmseg - INFO - Iter [43300/160000] lr: 1.047e-06, eta: 1 day, 4:29:19, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2065, decode.acc_seg: 74.2952, aux.loss_ce: 0.1088, aux.acc_seg: 72.8857, loss: 0.3154 +2022-03-14 10:07:28,278 - mmseg - INFO - Iter [43350/160000] lr: 1.047e-06, eta: 1 day, 4:28:34, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2179, decode.acc_seg: 74.4391, aux.loss_ce: 0.1137, aux.acc_seg: 72.9084, loss: 0.3316 +2022-03-14 10:08:11,807 - mmseg - INFO - Iter [43400/160000] lr: 1.046e-06, eta: 1 day, 4:27:49, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2169, decode.acc_seg: 71.9168, aux.loss_ce: 0.1118, aux.acc_seg: 70.6703, loss: 0.3287 +2022-03-14 10:08:55,259 - mmseg - INFO - Iter [43450/160000] lr: 1.046e-06, eta: 1 day, 4:27:04, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2122, decode.acc_seg: 73.1728, aux.loss_ce: 0.1100, aux.acc_seg: 71.7571, loss: 0.3222 +2022-03-14 10:09:38,596 - mmseg - INFO - Iter [43500/160000] lr: 1.045e-06, eta: 1 day, 4:26:18, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2296, decode.acc_seg: 73.0461, aux.loss_ce: 0.1207, aux.acc_seg: 71.4385, loss: 0.3502 +2022-03-14 10:10:22,117 - mmseg - INFO - Iter [43550/160000] lr: 1.045e-06, eta: 1 day, 4:25:33, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2166, decode.acc_seg: 74.7870, aux.loss_ce: 0.1134, aux.acc_seg: 73.5188, loss: 0.3300 +2022-03-14 10:11:05,395 - mmseg - INFO - Iter [43600/160000] lr: 1.045e-06, eta: 1 day, 4:24:47, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2174, decode.acc_seg: 74.2589, aux.loss_ce: 0.1140, aux.acc_seg: 72.6301, loss: 0.3313 +2022-03-14 10:11:48,690 - mmseg - INFO - Iter [43650/160000] lr: 1.044e-06, eta: 1 day, 4:24:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2122, decode.acc_seg: 72.7337, aux.loss_ce: 0.1105, aux.acc_seg: 71.3254, loss: 0.3227 +2022-03-14 10:12:31,997 - mmseg - INFO - Iter [43700/160000] lr: 1.044e-06, eta: 1 day, 4:23:16, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2079, decode.acc_seg: 74.2193, aux.loss_ce: 0.1046, aux.acc_seg: 73.0708, loss: 0.3125 +2022-03-14 10:13:15,460 - mmseg - INFO - Iter [43750/160000] lr: 1.043e-06, eta: 1 day, 4:22:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2089, decode.acc_seg: 72.6225, aux.loss_ce: 0.1077, aux.acc_seg: 71.3400, loss: 0.3166 +2022-03-14 10:13:58,815 - mmseg - INFO - Iter [43800/160000] lr: 1.043e-06, eta: 1 day, 4:21:45, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2318, decode.acc_seg: 75.3869, aux.loss_ce: 0.1193, aux.acc_seg: 73.9581, loss: 0.3510 +2022-03-14 10:14:42,023 - mmseg - INFO - Iter [43850/160000] lr: 1.042e-06, eta: 1 day, 4:20:59, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2267, decode.acc_seg: 73.5095, aux.loss_ce: 0.1163, aux.acc_seg: 72.0047, loss: 0.3430 +2022-03-14 10:15:25,467 - mmseg - INFO - Iter [43900/160000] lr: 1.042e-06, eta: 1 day, 4:20:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2252, decode.acc_seg: 74.2271, aux.loss_ce: 0.1153, aux.acc_seg: 72.9683, loss: 0.3404 +2022-03-14 10:16:08,727 - mmseg - INFO - Iter [43950/160000] lr: 1.041e-06, eta: 1 day, 4:19:29, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2115, decode.acc_seg: 73.4112, aux.loss_ce: 0.1088, aux.acc_seg: 72.1473, loss: 0.3203 +2022-03-14 10:16:52,137 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 10:16:52,140 - mmseg - INFO - Iter [44000/160000] lr: 1.041e-06, eta: 1 day, 4:18:43, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2222, decode.acc_seg: 73.2550, aux.loss_ce: 0.1110, aux.acc_seg: 72.0443, loss: 0.3332 +2022-03-14 10:17:35,309 - mmseg - INFO - Iter [44050/160000] lr: 1.041e-06, eta: 1 day, 4:17:57, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2169, decode.acc_seg: 73.0805, aux.loss_ce: 0.1091, aux.acc_seg: 71.7846, loss: 0.3260 +2022-03-14 10:18:18,926 - mmseg - INFO - Iter [44100/160000] lr: 1.040e-06, eta: 1 day, 4:17:13, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2178, decode.acc_seg: 73.9136, aux.loss_ce: 0.1119, aux.acc_seg: 72.7071, loss: 0.3298 +2022-03-14 10:19:02,287 - mmseg - INFO - Iter [44150/160000] lr: 1.040e-06, eta: 1 day, 4:16:27, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2200, decode.acc_seg: 73.6050, aux.loss_ce: 0.1133, aux.acc_seg: 72.1186, loss: 0.3334 +2022-03-14 10:19:45,621 - mmseg - INFO - Iter [44200/160000] lr: 1.039e-06, eta: 1 day, 4:15:42, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2257, decode.acc_seg: 74.8412, aux.loss_ce: 0.1157, aux.acc_seg: 73.3970, loss: 0.3414 +2022-03-14 10:20:31,605 - mmseg - INFO - Iter [44250/160000] lr: 1.039e-06, eta: 1 day, 4:15:03, time: 0.920, data_time: 0.053, memory: 73034, decode.loss_ce: 0.2137, decode.acc_seg: 74.3124, aux.loss_ce: 0.1094, aux.acc_seg: 72.9628, loss: 0.3231 +2022-03-14 10:21:14,899 - mmseg - INFO - Iter [44300/160000] lr: 1.038e-06, eta: 1 day, 4:14:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2086, decode.acc_seg: 73.8858, aux.loss_ce: 0.1109, aux.acc_seg: 72.2206, loss: 0.3195 +2022-03-14 10:21:58,306 - mmseg - INFO - Iter [44350/160000] lr: 1.038e-06, eta: 1 day, 4:13:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2196, decode.acc_seg: 73.2620, aux.loss_ce: 0.1143, aux.acc_seg: 71.7955, loss: 0.3339 +2022-03-14 10:22:41,756 - mmseg - INFO - Iter [44400/160000] lr: 1.037e-06, eta: 1 day, 4:12:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2239, decode.acc_seg: 75.0672, aux.loss_ce: 0.1158, aux.acc_seg: 73.6006, loss: 0.3397 +2022-03-14 10:23:25,286 - mmseg - INFO - Iter [44450/160000] lr: 1.037e-06, eta: 1 day, 4:12:02, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2119, decode.acc_seg: 74.9200, aux.loss_ce: 0.1096, aux.acc_seg: 73.6033, loss: 0.3215 +2022-03-14 10:24:08,509 - mmseg - INFO - Iter [44500/160000] lr: 1.036e-06, eta: 1 day, 4:11:16, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2009, decode.acc_seg: 73.5724, aux.loss_ce: 0.1046, aux.acc_seg: 72.2624, loss: 0.3055 +2022-03-14 10:24:51,935 - mmseg - INFO - Iter [44550/160000] lr: 1.036e-06, eta: 1 day, 4:10:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2205, decode.acc_seg: 73.0764, aux.loss_ce: 0.1144, aux.acc_seg: 71.6805, loss: 0.3349 +2022-03-14 10:25:35,402 - mmseg - INFO - Iter [44600/160000] lr: 1.036e-06, eta: 1 day, 4:09:46, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2073, decode.acc_seg: 73.9613, aux.loss_ce: 0.1092, aux.acc_seg: 72.5605, loss: 0.3164 +2022-03-14 10:26:18,797 - mmseg - INFO - Iter [44650/160000] lr: 1.035e-06, eta: 1 day, 4:09:01, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2096, decode.acc_seg: 74.2384, aux.loss_ce: 0.1104, aux.acc_seg: 72.7870, loss: 0.3200 +2022-03-14 10:27:02,443 - mmseg - INFO - Iter [44700/160000] lr: 1.035e-06, eta: 1 day, 4:08:16, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2209, decode.acc_seg: 74.0482, aux.loss_ce: 0.1166, aux.acc_seg: 72.3853, loss: 0.3375 +2022-03-14 10:27:45,780 - mmseg - INFO - Iter [44750/160000] lr: 1.034e-06, eta: 1 day, 4:07:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2253, decode.acc_seg: 74.7686, aux.loss_ce: 0.1167, aux.acc_seg: 73.1922, loss: 0.3419 +2022-03-14 10:28:29,194 - mmseg - INFO - Iter [44800/160000] lr: 1.034e-06, eta: 1 day, 4:06:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2213, decode.acc_seg: 73.8691, aux.loss_ce: 0.1135, aux.acc_seg: 72.5736, loss: 0.3348 +2022-03-14 10:29:12,741 - mmseg - INFO - Iter [44850/160000] lr: 1.033e-06, eta: 1 day, 4:06:00, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2097, decode.acc_seg: 73.8693, aux.loss_ce: 0.1079, aux.acc_seg: 72.4618, loss: 0.3175 +2022-03-14 10:29:56,168 - mmseg - INFO - Iter [44900/160000] lr: 1.033e-06, eta: 1 day, 4:05:15, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2013, decode.acc_seg: 73.5145, aux.loss_ce: 0.1039, aux.acc_seg: 72.1954, loss: 0.3051 +2022-03-14 10:30:39,541 - mmseg - INFO - Iter [44950/160000] lr: 1.032e-06, eta: 1 day, 4:04:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2083, decode.acc_seg: 74.3369, aux.loss_ce: 0.1091, aux.acc_seg: 72.9842, loss: 0.3174 +2022-03-14 10:31:22,944 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 10:31:22,948 - mmseg - INFO - Iter [45000/160000] lr: 1.032e-06, eta: 1 day, 4:03:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2026, decode.acc_seg: 73.1336, aux.loss_ce: 0.1063, aux.acc_seg: 71.6303, loss: 0.3088 +2022-03-14 10:32:06,254 - mmseg - INFO - Iter [45050/160000] lr: 1.032e-06, eta: 1 day, 4:02:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2155, decode.acc_seg: 74.1172, aux.loss_ce: 0.1131, aux.acc_seg: 72.5408, loss: 0.3287 +2022-03-14 10:32:49,868 - mmseg - INFO - Iter [45100/160000] lr: 1.031e-06, eta: 1 day, 4:02:14, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2162, decode.acc_seg: 74.8346, aux.loss_ce: 0.1155, aux.acc_seg: 73.0859, loss: 0.3316 +2022-03-14 10:33:33,280 - mmseg - INFO - Iter [45150/160000] lr: 1.031e-06, eta: 1 day, 4:01:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2095, decode.acc_seg: 73.5742, aux.loss_ce: 0.1093, aux.acc_seg: 72.2147, loss: 0.3188 +2022-03-14 10:34:16,609 - mmseg - INFO - Iter [45200/160000] lr: 1.030e-06, eta: 1 day, 4:00:44, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2114, decode.acc_seg: 74.6567, aux.loss_ce: 0.1088, aux.acc_seg: 73.3058, loss: 0.3202 +2022-03-14 10:34:59,834 - mmseg - INFO - Iter [45250/160000] lr: 1.030e-06, eta: 1 day, 3:59:58, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2054, decode.acc_seg: 74.2464, aux.loss_ce: 0.1090, aux.acc_seg: 72.6522, loss: 0.3144 +2022-03-14 10:35:42,989 - mmseg - INFO - Iter [45300/160000] lr: 1.029e-06, eta: 1 day, 3:59:12, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2056, decode.acc_seg: 73.2774, aux.loss_ce: 0.1046, aux.acc_seg: 71.9884, loss: 0.3102 +2022-03-14 10:36:26,272 - mmseg - INFO - Iter [45350/160000] lr: 1.029e-06, eta: 1 day, 3:58:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2206, decode.acc_seg: 73.4830, aux.loss_ce: 0.1130, aux.acc_seg: 72.2962, loss: 0.3336 +2022-03-14 10:37:09,668 - mmseg - INFO - Iter [45400/160000] lr: 1.028e-06, eta: 1 day, 3:57:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2210, decode.acc_seg: 75.1148, aux.loss_ce: 0.1131, aux.acc_seg: 73.6845, loss: 0.3341 +2022-03-14 10:37:52,931 - mmseg - INFO - Iter [45450/160000] lr: 1.028e-06, eta: 1 day, 3:56:56, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2116, decode.acc_seg: 73.8735, aux.loss_ce: 0.1099, aux.acc_seg: 72.5044, loss: 0.3215 +2022-03-14 10:38:38,944 - mmseg - INFO - Iter [45500/160000] lr: 1.028e-06, eta: 1 day, 3:56:17, time: 0.920, data_time: 0.051, memory: 73034, decode.loss_ce: 0.2137, decode.acc_seg: 72.5972, aux.loss_ce: 0.1125, aux.acc_seg: 71.0705, loss: 0.3262 +2022-03-14 10:39:22,333 - mmseg - INFO - Iter [45550/160000] lr: 1.027e-06, eta: 1 day, 3:55:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2163, decode.acc_seg: 73.1332, aux.loss_ce: 0.1103, aux.acc_seg: 71.8408, loss: 0.3266 +2022-03-14 10:40:05,666 - mmseg - INFO - Iter [45600/160000] lr: 1.027e-06, eta: 1 day, 3:54:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2046, decode.acc_seg: 73.9384, aux.loss_ce: 0.1072, aux.acc_seg: 72.5622, loss: 0.3119 +2022-03-14 10:40:49,108 - mmseg - INFO - Iter [45650/160000] lr: 1.026e-06, eta: 1 day, 3:54:01, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2065, decode.acc_seg: 74.4660, aux.loss_ce: 0.1090, aux.acc_seg: 72.9409, loss: 0.3155 +2022-03-14 10:41:32,348 - mmseg - INFO - Iter [45700/160000] lr: 1.026e-06, eta: 1 day, 3:53:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2102, decode.acc_seg: 73.3539, aux.loss_ce: 0.1100, aux.acc_seg: 71.9152, loss: 0.3202 +2022-03-14 10:42:15,840 - mmseg - INFO - Iter [45750/160000] lr: 1.025e-06, eta: 1 day, 3:52:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1998, decode.acc_seg: 74.5422, aux.loss_ce: 0.1046, aux.acc_seg: 72.9896, loss: 0.3044 +2022-03-14 10:42:59,545 - mmseg - INFO - Iter [45800/160000] lr: 1.025e-06, eta: 1 day, 3:51:46, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2208, decode.acc_seg: 73.8848, aux.loss_ce: 0.1122, aux.acc_seg: 72.5476, loss: 0.3330 +2022-03-14 10:43:43,046 - mmseg - INFO - Iter [45850/160000] lr: 1.024e-06, eta: 1 day, 3:51:01, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2122, decode.acc_seg: 72.7704, aux.loss_ce: 0.1083, aux.acc_seg: 71.3971, loss: 0.3204 +2022-03-14 10:44:26,288 - mmseg - INFO - Iter [45900/160000] lr: 1.024e-06, eta: 1 day, 3:50:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2205, decode.acc_seg: 73.2397, aux.loss_ce: 0.1112, aux.acc_seg: 72.0341, loss: 0.3317 +2022-03-14 10:45:09,722 - mmseg - INFO - Iter [45950/160000] lr: 1.023e-06, eta: 1 day, 3:49:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2060, decode.acc_seg: 73.5894, aux.loss_ce: 0.1069, aux.acc_seg: 72.2597, loss: 0.3129 +2022-03-14 10:45:52,997 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 10:45:53,000 - mmseg - INFO - Iter [46000/160000] lr: 1.023e-06, eta: 1 day, 3:48:45, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2084, decode.acc_seg: 75.5706, aux.loss_ce: 0.1094, aux.acc_seg: 74.0754, loss: 0.3178 +2022-03-14 10:46:36,318 - mmseg - INFO - Iter [46050/160000] lr: 1.023e-06, eta: 1 day, 3:48:00, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2067, decode.acc_seg: 74.7005, aux.loss_ce: 0.1068, aux.acc_seg: 73.5638, loss: 0.3134 +2022-03-14 10:47:19,680 - mmseg - INFO - Iter [46100/160000] lr: 1.022e-06, eta: 1 day, 3:47:14, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2128, decode.acc_seg: 74.8193, aux.loss_ce: 0.1103, aux.acc_seg: 73.4600, loss: 0.3232 +2022-03-14 10:48:03,273 - mmseg - INFO - Iter [46150/160000] lr: 1.022e-06, eta: 1 day, 3:46:30, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2189, decode.acc_seg: 73.4385, aux.loss_ce: 0.1111, aux.acc_seg: 72.1768, loss: 0.3300 +2022-03-14 10:48:46,880 - mmseg - INFO - Iter [46200/160000] lr: 1.021e-06, eta: 1 day, 3:45:45, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2058, decode.acc_seg: 73.5217, aux.loss_ce: 0.1082, aux.acc_seg: 72.0817, loss: 0.3141 +2022-03-14 10:49:30,554 - mmseg - INFO - Iter [46250/160000] lr: 1.021e-06, eta: 1 day, 3:45:01, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2343, decode.acc_seg: 73.3646, aux.loss_ce: 0.1192, aux.acc_seg: 72.1204, loss: 0.3535 +2022-03-14 10:50:14,048 - mmseg - INFO - Iter [46300/160000] lr: 1.020e-06, eta: 1 day, 3:44:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2154, decode.acc_seg: 74.6532, aux.loss_ce: 0.1118, aux.acc_seg: 73.2248, loss: 0.3272 +2022-03-14 10:50:57,347 - mmseg - INFO - Iter [46350/160000] lr: 1.020e-06, eta: 1 day, 3:43:30, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2075, decode.acc_seg: 74.2951, aux.loss_ce: 0.1086, aux.acc_seg: 72.8280, loss: 0.3160 +2022-03-14 10:51:40,648 - mmseg - INFO - Iter [46400/160000] lr: 1.019e-06, eta: 1 day, 3:42:45, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2236, decode.acc_seg: 73.6137, aux.loss_ce: 0.1144, aux.acc_seg: 72.2087, loss: 0.3380 +2022-03-14 10:52:24,231 - mmseg - INFO - Iter [46450/160000] lr: 1.019e-06, eta: 1 day, 3:42:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1979, decode.acc_seg: 72.9973, aux.loss_ce: 0.1013, aux.acc_seg: 71.8431, loss: 0.2991 +2022-03-14 10:53:07,756 - mmseg - INFO - Iter [46500/160000] lr: 1.019e-06, eta: 1 day, 3:41:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2070, decode.acc_seg: 72.9585, aux.loss_ce: 0.1088, aux.acc_seg: 71.5336, loss: 0.3158 +2022-03-14 10:53:51,184 - mmseg - INFO - Iter [46550/160000] lr: 1.018e-06, eta: 1 day, 3:40:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2257, decode.acc_seg: 74.6512, aux.loss_ce: 0.1122, aux.acc_seg: 73.3276, loss: 0.3379 +2022-03-14 10:54:34,832 - mmseg - INFO - Iter [46600/160000] lr: 1.018e-06, eta: 1 day, 3:39:46, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2185, decode.acc_seg: 73.8734, aux.loss_ce: 0.1154, aux.acc_seg: 72.3437, loss: 0.3340 +2022-03-14 10:55:18,265 - mmseg - INFO - Iter [46650/160000] lr: 1.017e-06, eta: 1 day, 3:39:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2009, decode.acc_seg: 72.8678, aux.loss_ce: 0.1054, aux.acc_seg: 71.4460, loss: 0.3063 +2022-03-14 10:56:01,643 - mmseg - INFO - Iter [46700/160000] lr: 1.017e-06, eta: 1 day, 3:38:15, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2163, decode.acc_seg: 73.8388, aux.loss_ce: 0.1098, aux.acc_seg: 72.6150, loss: 0.3261 +2022-03-14 10:56:47,326 - mmseg - INFO - Iter [46750/160000] lr: 1.016e-06, eta: 1 day, 3:37:36, time: 0.914, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2133, decode.acc_seg: 72.8648, aux.loss_ce: 0.1093, aux.acc_seg: 71.5203, loss: 0.3225 +2022-03-14 10:57:31,002 - mmseg - INFO - Iter [46800/160000] lr: 1.016e-06, eta: 1 day, 3:36:51, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2125, decode.acc_seg: 73.0088, aux.loss_ce: 0.1109, aux.acc_seg: 71.3966, loss: 0.3234 +2022-03-14 10:58:14,385 - mmseg - INFO - Iter [46850/160000] lr: 1.015e-06, eta: 1 day, 3:36:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1958, decode.acc_seg: 74.6575, aux.loss_ce: 0.1032, aux.acc_seg: 73.3009, loss: 0.2990 +2022-03-14 10:58:57,889 - mmseg - INFO - Iter [46900/160000] lr: 1.015e-06, eta: 1 day, 3:35:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2142, decode.acc_seg: 73.8641, aux.loss_ce: 0.1111, aux.acc_seg: 72.4506, loss: 0.3252 +2022-03-14 10:59:41,354 - mmseg - INFO - Iter [46950/160000] lr: 1.014e-06, eta: 1 day, 3:34:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2012, decode.acc_seg: 73.5999, aux.loss_ce: 0.1072, aux.acc_seg: 72.0253, loss: 0.3083 +2022-03-14 11:00:24,847 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:00:24,850 - mmseg - INFO - Iter [47000/160000] lr: 1.014e-06, eta: 1 day, 3:33:51, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2158, decode.acc_seg: 72.8541, aux.loss_ce: 0.1095, aux.acc_seg: 71.6957, loss: 0.3253 +2022-03-14 11:01:08,208 - mmseg - INFO - Iter [47050/160000] lr: 1.014e-06, eta: 1 day, 3:33:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2134, decode.acc_seg: 73.8133, aux.loss_ce: 0.1134, aux.acc_seg: 72.3475, loss: 0.3269 +2022-03-14 11:01:51,730 - mmseg - INFO - Iter [47100/160000] lr: 1.013e-06, eta: 1 day, 3:32:21, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2006, decode.acc_seg: 74.4842, aux.loss_ce: 0.1034, aux.acc_seg: 73.2306, loss: 0.3040 +2022-03-14 11:02:35,164 - mmseg - INFO - Iter [47150/160000] lr: 1.013e-06, eta: 1 day, 3:31:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2122, decode.acc_seg: 73.9884, aux.loss_ce: 0.1112, aux.acc_seg: 72.3961, loss: 0.3235 +2022-03-14 11:03:18,584 - mmseg - INFO - Iter [47200/160000] lr: 1.012e-06, eta: 1 day, 3:30:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2053, decode.acc_seg: 73.5424, aux.loss_ce: 0.1084, aux.acc_seg: 72.1000, loss: 0.3136 +2022-03-14 11:04:01,977 - mmseg - INFO - Iter [47250/160000] lr: 1.012e-06, eta: 1 day, 3:30:06, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2236, decode.acc_seg: 75.0954, aux.loss_ce: 0.1158, aux.acc_seg: 73.7092, loss: 0.3394 +2022-03-14 11:04:45,343 - mmseg - INFO - Iter [47300/160000] lr: 1.011e-06, eta: 1 day, 3:29:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2026, decode.acc_seg: 73.7925, aux.loss_ce: 0.1048, aux.acc_seg: 72.4608, loss: 0.3075 +2022-03-14 11:05:28,609 - mmseg - INFO - Iter [47350/160000] lr: 1.011e-06, eta: 1 day, 3:28:35, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2093, decode.acc_seg: 74.2758, aux.loss_ce: 0.1104, aux.acc_seg: 72.6147, loss: 0.3197 +2022-03-14 11:06:11,837 - mmseg - INFO - Iter [47400/160000] lr: 1.010e-06, eta: 1 day, 3:27:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2041, decode.acc_seg: 75.1294, aux.loss_ce: 0.1064, aux.acc_seg: 73.6800, loss: 0.3105 +2022-03-14 11:06:55,304 - mmseg - INFO - Iter [47450/160000] lr: 1.010e-06, eta: 1 day, 3:27:05, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2052, decode.acc_seg: 73.0067, aux.loss_ce: 0.1048, aux.acc_seg: 71.7207, loss: 0.3100 +2022-03-14 11:07:38,519 - mmseg - INFO - Iter [47500/160000] lr: 1.010e-06, eta: 1 day, 3:26:19, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2047, decode.acc_seg: 73.7784, aux.loss_ce: 0.1078, aux.acc_seg: 72.3459, loss: 0.3125 +2022-03-14 11:08:21,888 - mmseg - INFO - Iter [47550/160000] lr: 1.009e-06, eta: 1 day, 3:25:34, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1990, decode.acc_seg: 73.7400, aux.loss_ce: 0.0997, aux.acc_seg: 72.5548, loss: 0.2987 +2022-03-14 11:09:05,380 - mmseg - INFO - Iter [47600/160000] lr: 1.009e-06, eta: 1 day, 3:24:49, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2013, decode.acc_seg: 73.5330, aux.loss_ce: 0.1055, aux.acc_seg: 72.0740, loss: 0.3069 +2022-03-14 11:09:48,819 - mmseg - INFO - Iter [47650/160000] lr: 1.008e-06, eta: 1 day, 3:24:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2060, decode.acc_seg: 73.3499, aux.loss_ce: 0.1072, aux.acc_seg: 72.0279, loss: 0.3131 +2022-03-14 11:10:32,078 - mmseg - INFO - Iter [47700/160000] lr: 1.008e-06, eta: 1 day, 3:23:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2067, decode.acc_seg: 73.9992, aux.loss_ce: 0.1085, aux.acc_seg: 72.5211, loss: 0.3151 +2022-03-14 11:11:15,305 - mmseg - INFO - Iter [47750/160000] lr: 1.007e-06, eta: 1 day, 3:22:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2074, decode.acc_seg: 74.4316, aux.loss_ce: 0.1079, aux.acc_seg: 73.0417, loss: 0.3153 +2022-03-14 11:11:58,557 - mmseg - INFO - Iter [47800/160000] lr: 1.007e-06, eta: 1 day, 3:21:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2100, decode.acc_seg: 73.7729, aux.loss_ce: 0.1084, aux.acc_seg: 72.4340, loss: 0.3184 +2022-03-14 11:12:42,063 - mmseg - INFO - Iter [47850/160000] lr: 1.006e-06, eta: 1 day, 3:21:03, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2092, decode.acc_seg: 75.5656, aux.loss_ce: 0.1092, aux.acc_seg: 74.0589, loss: 0.3184 +2022-03-14 11:13:25,573 - mmseg - INFO - Iter [47900/160000] lr: 1.006e-06, eta: 1 day, 3:20:18, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2115, decode.acc_seg: 73.8615, aux.loss_ce: 0.1092, aux.acc_seg: 72.6177, loss: 0.3208 +2022-03-14 11:14:08,706 - mmseg - INFO - Iter [47950/160000] lr: 1.006e-06, eta: 1 day, 3:19:33, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2081, decode.acc_seg: 73.0903, aux.loss_ce: 0.1063, aux.acc_seg: 71.7473, loss: 0.3144 +2022-03-14 11:14:54,515 - mmseg - INFO - Saving checkpoint at 48000 iterations +2022-03-14 11:15:05,169 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:15:05,170 - mmseg - INFO - Iter [48000/160000] lr: 1.005e-06, eta: 1 day, 3:19:18, time: 1.127, data_time: 0.054, memory: 73034, decode.loss_ce: 0.2106, decode.acc_seg: 73.5646, aux.loss_ce: 0.1078, aux.acc_seg: 72.1960, loss: 0.3184 +2022-03-14 11:16:28,478 - mmseg - INFO - per class results: +2022-03-14 11:16:28,491 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.01 | 88.26 | +| building | 84.62 | 92.38 | +| sky | 94.67 | 97.27 | +| floor | 84.08 | 90.15 | +| tree | 76.93 | 88.76 | +| ceiling | 86.21 | 94.09 | +| road | 85.16 | 91.21 | +| bed | 92.33 | 96.79 | +| windowpane | 65.22 | 79.31 | +| grass | 66.31 | 85.55 | +| cabinet | 64.06 | 74.77 | +| sidewalk | 69.65 | 83.38 | +| person | 84.58 | 93.9 | +| earth | 36.93 | 46.16 | +| door | 58.53 | 75.06 | +| table | 68.07 | 82.22 | +| mountain | 61.43 | 71.27 | +| plant | 56.61 | 70.17 | +| curtain | 78.51 | 89.03 | +| chair | 64.97 | 77.27 | +| car | 87.03 | 93.19 | +| water | 67.39 | 82.98 | +| painting | 72.87 | 91.51 | +| sofa | 77.87 | 87.86 | +| shelf | 49.43 | 67.99 | +| house | 54.48 | 72.35 | +| sea | 77.71 | 86.95 | +| mirror | 73.82 | 87.5 | +| rug | 68.34 | 83.98 | +| field | 24.17 | 39.8 | +| armchair | 56.91 | 78.06 | +| seat | 65.78 | 88.62 | +| fence | 46.14 | 59.72 | +| desk | 56.08 | 78.22 | +| rock | 57.44 | 86.58 | +| wardrobe | 52.66 | 73.17 | +| lamp | 70.68 | 83.87 | +| bathtub | 86.46 | 88.85 | +| railing | 41.49 | 59.68 | +| cushion | 65.13 | 82.8 | +| base | 50.41 | 63.76 | +| box | 36.78 | 49.34 | +| column | 50.38 | 64.98 | +| signboard | 40.55 | 56.9 | +| chest of drawers | 43.21 | 62.75 | +| counter | 49.78 | 63.26 | +| sand | 53.62 | 85.76 | +| sink | 80.23 | 88.6 | +| skyscraper | 52.32 | 67.46 | +| fireplace | 73.84 | 95.39 | +| refrigerator | 79.79 | 91.05 | +| grandstand | 56.57 | 82.07 | +| path | 28.33 | 40.17 | +| stairs | 30.79 | 37.69 | +| runway | 70.45 | 92.86 | +| case | 61.21 | 85.37 | +| pool table | 94.68 | 98.32 | +| pillow | 62.91 | 71.73 | +| screen door | 76.74 | 85.78 | +| stairway | 37.59 | 60.54 | +| river | 15.54 | 24.53 | +| bridge | 72.22 | 89.8 | +| bookcase | 42.31 | 52.34 | +| blind | 46.46 | 59.11 | +| coffee table | 65.17 | 86.17 | +| toilet | 90.31 | 93.27 | +| flower | 48.52 | 70.34 | +| book | 52.74 | 76.27 | +| hill | 13.99 | 23.03 | +| bench | 51.31 | 59.7 | +| countertop | 61.72 | 86.57 | +| stove | 83.27 | 87.72 | +| palm | 54.22 | 84.2 | +| kitchen island | 39.7 | 72.9 | +| computer | 79.98 | 87.68 | +| swivel chair | 41.82 | 62.68 | +| boat | 68.42 | 90.0 | +| bar | 63.17 | 85.78 | +| arcade machine | 89.13 | 95.4 | +| hovel | 55.77 | 60.88 | +| bus | 89.48 | 97.58 | +| towel | 74.83 | 81.82 | +| light | 58.46 | 65.23 | +| truck | 47.73 | 60.08 | +| tower | 33.3 | 56.41 | +| chandelier | 70.92 | 85.03 | +| awning | 45.96 | 60.47 | +| streetlight | 34.74 | 46.38 | +| booth | 49.76 | 59.07 | +| television receiver | 80.67 | 86.69 | +| airplane | 68.02 | 76.41 | +| dirt track | 0.37 | 2.05 | +| apparel | 53.64 | 78.37 | +| pole | 29.94 | 42.48 | +| land | 0.05 | 0.07 | +| bannister | 16.45 | 21.48 | +| escalator | 57.69 | 85.24 | +| ottoman | 46.72 | 68.14 | +| bottle | 41.16 | 66.98 | +| buffet | 57.6 | 76.96 | +| poster | 33.83 | 51.39 | +| stage | 21.05 | 45.84 | +| van | 39.62 | 56.09 | +| ship | 74.46 | 92.18 | +| fountain | 45.57 | 47.74 | +| conveyer belt | 77.65 | 96.36 | +| canopy | 60.41 | 78.03 | +| washer | 87.74 | 93.72 | +| plaything | 48.44 | 68.81 | +| swimming pool | 57.73 | 84.45 | +| stool | 53.87 | 68.34 | +| barrel | 66.83 | 84.7 | +| basket | 44.57 | 59.22 | +| waterfall | 48.25 | 57.27 | +| tent | 91.37 | 99.27 | +| bag | 16.96 | 19.5 | +| minibike | 75.11 | 90.45 | +| cradle | 83.49 | 98.08 | +| oven | 51.2 | 64.63 | +| ball | 59.4 | 73.49 | +| food | 49.97 | 63.33 | +| step | 16.22 | 18.59 | +| tank | 61.42 | 67.05 | +| trade name | 17.91 | 19.4 | +| microwave | 84.3 | 94.56 | +| pot | 54.98 | 66.14 | +| animal | 69.71 | 72.01 | +| bicycle | 59.28 | 81.72 | +| lake | 60.4 | 68.58 | +| dishwasher | 70.87 | 79.84 | +| screen | 48.96 | 76.86 | +| blanket | 28.32 | 33.56 | +| sculpture | 79.19 | 86.02 | +| hood | 60.64 | 78.46 | +| sconce | 56.32 | 66.53 | +| vase | 43.72 | 65.56 | +| traffic light | 37.02 | 64.83 | +| tray | 18.31 | 21.72 | +| ashcan | 47.99 | 67.95 | +| fan | 66.24 | 77.13 | +| pier | 36.11 | 47.62 | +| crt screen | 11.4 | 32.17 | +| plate | 59.57 | 78.89 | +| monitor | 24.83 | 29.51 | +| bulletin board | 46.94 | 59.72 | +| shower | 4.38 | 4.43 | +| radiator | 67.22 | 80.93 | +| glass | 21.72 | 23.18 | +| clock | 50.06 | 60.38 | +| flag | 54.8 | 59.04 | ++---------------------+-------+-------+ +2022-03-14 11:16:28,492 - mmseg - INFO - Summary: +2022-03-14 11:16:28,492 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 85.55 | 56.54 | 70.17 | ++-------+-------+-------+ +2022-03-14 11:16:28,500 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:16:28,500 - mmseg - INFO - Iter(val) [250] aAcc: 0.8555, mIoU: 0.5654, mAcc: 0.7017, IoU.wall: 0.8101, IoU.building: 0.8462, IoU.sky: 0.9467, IoU.floor: 0.8408, IoU.tree: 0.7693, IoU.ceiling: 0.8621, IoU.road: 0.8516, IoU.bed : 0.9233, IoU.windowpane: 0.6522, IoU.grass: 0.6631, IoU.cabinet: 0.6406, IoU.sidewalk: 0.6965, IoU.person: 0.8458, IoU.earth: 0.3693, IoU.door: 0.5853, IoU.table: 0.6807, IoU.mountain: 0.6143, IoU.plant: 0.5661, IoU.curtain: 0.7851, IoU.chair: 0.6497, IoU.car: 0.8703, IoU.water: 0.6739, IoU.painting: 0.7287, IoU.sofa: 0.7787, IoU.shelf: 0.4943, IoU.house: 0.5448, IoU.sea: 0.7771, IoU.mirror: 0.7382, IoU.rug: 0.6834, IoU.field: 0.2417, IoU.armchair: 0.5691, IoU.seat: 0.6578, IoU.fence: 0.4614, IoU.desk: 0.5608, IoU.rock: 0.5744, IoU.wardrobe: 0.5266, IoU.lamp: 0.7068, IoU.bathtub: 0.8646, IoU.railing: 0.4149, IoU.cushion: 0.6513, IoU.base: 0.5041, IoU.box: 0.3678, IoU.column: 0.5038, IoU.signboard: 0.4055, IoU.chest of drawers: 0.4321, IoU.counter: 0.4978, IoU.sand: 0.5362, IoU.sink: 0.8023, IoU.skyscraper: 0.5232, IoU.fireplace: 0.7384, IoU.refrigerator: 0.7979, IoU.grandstand: 0.5657, IoU.path: 0.2833, IoU.stairs: 0.3079, IoU.runway: 0.7045, IoU.case: 0.6121, IoU.pool table: 0.9468, IoU.pillow: 0.6291, IoU.screen door: 0.7674, IoU.stairway: 0.3759, IoU.river: 0.1554, IoU.bridge: 0.7222, IoU.bookcase: 0.4231, IoU.blind: 0.4646, IoU.coffee table: 0.6517, IoU.toilet: 0.9031, IoU.flower: 0.4852, IoU.book: 0.5274, IoU.hill: 0.1399, IoU.bench: 0.5131, IoU.countertop: 0.6172, IoU.stove: 0.8327, IoU.palm: 0.5422, IoU.kitchen island: 0.3970, IoU.computer: 0.7998, IoU.swivel chair: 0.4182, IoU.boat: 0.6842, IoU.bar: 0.6317, IoU.arcade machine: 0.8913, IoU.hovel: 0.5577, IoU.bus: 0.8948, IoU.towel: 0.7483, IoU.light: 0.5846, IoU.truck: 0.4773, IoU.tower: 0.3330, IoU.chandelier: 0.7092, IoU.awning: 0.4596, IoU.streetlight: 0.3474, IoU.booth: 0.4976, IoU.television receiver: 0.8067, IoU.airplane: 0.6802, IoU.dirt track: 0.0037, IoU.apparel: 0.5364, IoU.pole: 0.2994, IoU.land: 0.0005, IoU.bannister: 0.1645, IoU.escalator: 0.5769, IoU.ottoman: 0.4672, IoU.bottle: 0.4116, IoU.buffet: 0.5760, IoU.poster: 0.3383, IoU.stage: 0.2105, IoU.van: 0.3962, IoU.ship: 0.7446, IoU.fountain: 0.4557, IoU.conveyer belt: 0.7765, IoU.canopy: 0.6041, IoU.washer: 0.8774, IoU.plaything: 0.4844, IoU.swimming pool: 0.5773, IoU.stool: 0.5387, IoU.barrel: 0.6683, IoU.basket: 0.4457, IoU.waterfall: 0.4825, IoU.tent: 0.9137, IoU.bag: 0.1696, IoU.minibike: 0.7511, IoU.cradle: 0.8349, IoU.oven: 0.5120, IoU.ball: 0.5940, IoU.food: 0.4997, IoU.step: 0.1622, IoU.tank: 0.6142, IoU.trade name: 0.1791, IoU.microwave: 0.8430, IoU.pot: 0.5498, IoU.animal: 0.6971, IoU.bicycle: 0.5928, IoU.lake: 0.6040, IoU.dishwasher: 0.7087, IoU.screen: 0.4896, IoU.blanket: 0.2832, IoU.sculpture: 0.7919, IoU.hood: 0.6064, IoU.sconce: 0.5632, IoU.vase: 0.4372, IoU.traffic light: 0.3702, IoU.tray: 0.1831, IoU.ashcan: 0.4799, IoU.fan: 0.6624, IoU.pier: 0.3611, IoU.crt screen: 0.1140, IoU.plate: 0.5957, IoU.monitor: 0.2483, IoU.bulletin board: 0.4694, IoU.shower: 0.0438, IoU.radiator: 0.6722, IoU.glass: 0.2172, IoU.clock: 0.5006, IoU.flag: 0.5480, Acc.wall: 0.8826, Acc.building: 0.9238, Acc.sky: 0.9727, Acc.floor: 0.9015, Acc.tree: 0.8876, Acc.ceiling: 0.9409, Acc.road: 0.9121, Acc.bed : 0.9679, Acc.windowpane: 0.7931, Acc.grass: 0.8555, Acc.cabinet: 0.7477, Acc.sidewalk: 0.8338, Acc.person: 0.9390, Acc.earth: 0.4616, Acc.door: 0.7506, Acc.table: 0.8222, Acc.mountain: 0.7127, Acc.plant: 0.7017, Acc.curtain: 0.8903, Acc.chair: 0.7727, Acc.car: 0.9319, Acc.water: 0.8298, Acc.painting: 0.9151, Acc.sofa: 0.8786, Acc.shelf: 0.6799, Acc.house: 0.7235, Acc.sea: 0.8695, Acc.mirror: 0.8750, Acc.rug: 0.8398, Acc.field: 0.3980, Acc.armchair: 0.7806, Acc.seat: 0.8862, Acc.fence: 0.5972, Acc.desk: 0.7822, Acc.rock: 0.8658, Acc.wardrobe: 0.7317, Acc.lamp: 0.8387, Acc.bathtub: 0.8885, Acc.railing: 0.5968, Acc.cushion: 0.8280, Acc.base: 0.6376, Acc.box: 0.4934, Acc.column: 0.6498, Acc.signboard: 0.5690, Acc.chest of drawers: 0.6275, Acc.counter: 0.6326, Acc.sand: 0.8576, Acc.sink: 0.8860, Acc.skyscraper: 0.6746, Acc.fireplace: 0.9539, Acc.refrigerator: 0.9105, Acc.grandstand: 0.8207, Acc.path: 0.4017, Acc.stairs: 0.3769, Acc.runway: 0.9286, Acc.case: 0.8537, Acc.pool table: 0.9832, Acc.pillow: 0.7173, Acc.screen door: 0.8578, Acc.stairway: 0.6054, Acc.river: 0.2453, Acc.bridge: 0.8980, Acc.bookcase: 0.5234, Acc.blind: 0.5911, Acc.coffee table: 0.8617, Acc.toilet: 0.9327, Acc.flower: 0.7034, Acc.book: 0.7627, Acc.hill: 0.2303, Acc.bench: 0.5970, Acc.countertop: 0.8657, Acc.stove: 0.8772, Acc.palm: 0.8420, Acc.kitchen island: 0.7290, Acc.computer: 0.8768, Acc.swivel chair: 0.6268, Acc.boat: 0.9000, Acc.bar: 0.8578, Acc.arcade machine: 0.9540, Acc.hovel: 0.6088, Acc.bus: 0.9758, Acc.towel: 0.8182, Acc.light: 0.6523, Acc.truck: 0.6008, Acc.tower: 0.5641, Acc.chandelier: 0.8503, Acc.awning: 0.6047, Acc.streetlight: 0.4638, Acc.booth: 0.5907, Acc.television receiver: 0.8669, Acc.airplane: 0.7641, Acc.dirt track: 0.0205, Acc.apparel: 0.7837, Acc.pole: 0.4248, Acc.land: 0.0007, Acc.bannister: 0.2148, Acc.escalator: 0.8524, Acc.ottoman: 0.6814, Acc.bottle: 0.6698, Acc.buffet: 0.7696, Acc.poster: 0.5139, Acc.stage: 0.4584, Acc.van: 0.5609, Acc.ship: 0.9218, Acc.fountain: 0.4774, Acc.conveyer belt: 0.9636, Acc.canopy: 0.7803, Acc.washer: 0.9372, Acc.plaything: 0.6881, Acc.swimming pool: 0.8445, Acc.stool: 0.6834, Acc.barrel: 0.8470, Acc.basket: 0.5922, Acc.waterfall: 0.5727, Acc.tent: 0.9927, Acc.bag: 0.1950, Acc.minibike: 0.9045, Acc.cradle: 0.9808, Acc.oven: 0.6463, Acc.ball: 0.7349, Acc.food: 0.6333, Acc.step: 0.1859, Acc.tank: 0.6705, Acc.trade name: 0.1940, Acc.microwave: 0.9456, Acc.pot: 0.6614, Acc.animal: 0.7201, Acc.bicycle: 0.8172, Acc.lake: 0.6858, Acc.dishwasher: 0.7984, Acc.screen: 0.7686, Acc.blanket: 0.3356, Acc.sculpture: 0.8602, Acc.hood: 0.7846, Acc.sconce: 0.6653, Acc.vase: 0.6556, Acc.traffic light: 0.6483, Acc.tray: 0.2172, Acc.ashcan: 0.6795, Acc.fan: 0.7713, Acc.pier: 0.4762, Acc.crt screen: 0.3217, Acc.plate: 0.7889, Acc.monitor: 0.2951, Acc.bulletin board: 0.5972, Acc.shower: 0.0443, Acc.radiator: 0.8093, Acc.glass: 0.2318, Acc.clock: 0.6038, Acc.flag: 0.5904 +2022-03-14 11:17:12,106 - mmseg - INFO - Iter [48050/160000] lr: 1.005e-06, eta: 1 day, 3:21:48, time: 2.540, data_time: 1.675, memory: 73034, decode.loss_ce: 0.1927, decode.acc_seg: 74.2276, aux.loss_ce: 0.1029, aux.acc_seg: 72.6943, loss: 0.2956 +2022-03-14 11:17:55,346 - mmseg - INFO - Iter [48100/160000] lr: 1.004e-06, eta: 1 day, 3:21:02, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2044, decode.acc_seg: 74.9637, aux.loss_ce: 0.1067, aux.acc_seg: 73.6468, loss: 0.3110 +2022-03-14 11:18:38,595 - mmseg - INFO - Iter [48150/160000] lr: 1.004e-06, eta: 1 day, 3:20:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2049, decode.acc_seg: 74.0216, aux.loss_ce: 0.1080, aux.acc_seg: 72.5480, loss: 0.3129 +2022-03-14 11:19:22,104 - mmseg - INFO - Iter [48200/160000] lr: 1.003e-06, eta: 1 day, 3:19:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2109, decode.acc_seg: 73.4994, aux.loss_ce: 0.1116, aux.acc_seg: 71.9639, loss: 0.3225 +2022-03-14 11:20:05,484 - mmseg - INFO - Iter [48250/160000] lr: 1.003e-06, eta: 1 day, 3:18:46, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2164, decode.acc_seg: 74.4336, aux.loss_ce: 0.1135, aux.acc_seg: 72.8860, loss: 0.3299 +2022-03-14 11:20:48,959 - mmseg - INFO - Iter [48300/160000] lr: 1.002e-06, eta: 1 day, 3:18:00, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1976, decode.acc_seg: 73.9771, aux.loss_ce: 0.1051, aux.acc_seg: 72.5240, loss: 0.3027 +2022-03-14 11:21:32,173 - mmseg - INFO - Iter [48350/160000] lr: 1.002e-06, eta: 1 day, 3:17:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2159, decode.acc_seg: 74.2768, aux.loss_ce: 0.1131, aux.acc_seg: 72.9132, loss: 0.3290 +2022-03-14 11:22:15,334 - mmseg - INFO - Iter [48400/160000] lr: 1.001e-06, eta: 1 day, 3:16:29, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2182, decode.acc_seg: 74.4201, aux.loss_ce: 0.1153, aux.acc_seg: 72.7486, loss: 0.3334 +2022-03-14 11:22:58,662 - mmseg - INFO - Iter [48450/160000] lr: 1.001e-06, eta: 1 day, 3:15:43, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2124, decode.acc_seg: 73.7492, aux.loss_ce: 0.1099, aux.acc_seg: 72.2207, loss: 0.3222 +2022-03-14 11:23:42,250 - mmseg - INFO - Iter [48500/160000] lr: 1.001e-06, eta: 1 day, 3:14:58, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2045, decode.acc_seg: 72.9908, aux.loss_ce: 0.1054, aux.acc_seg: 71.7652, loss: 0.3099 +2022-03-14 11:24:25,616 - mmseg - INFO - Iter [48550/160000] lr: 1.000e-06, eta: 1 day, 3:14:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2159, decode.acc_seg: 73.7191, aux.loss_ce: 0.1111, aux.acc_seg: 72.2356, loss: 0.3270 +2022-03-14 11:25:08,751 - mmseg - INFO - Iter [48600/160000] lr: 9.997e-07, eta: 1 day, 3:13:27, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2024, decode.acc_seg: 74.1834, aux.loss_ce: 0.1065, aux.acc_seg: 72.7321, loss: 0.3089 +2022-03-14 11:25:52,267 - mmseg - INFO - Iter [48650/160000] lr: 9.992e-07, eta: 1 day, 3:12:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2082, decode.acc_seg: 73.0703, aux.loss_ce: 0.1066, aux.acc_seg: 71.8747, loss: 0.3148 +2022-03-14 11:26:35,827 - mmseg - INFO - Iter [48700/160000] lr: 9.988e-07, eta: 1 day, 3:11:57, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2204, decode.acc_seg: 73.9898, aux.loss_ce: 0.1120, aux.acc_seg: 72.4498, loss: 0.3324 +2022-03-14 11:27:19,411 - mmseg - INFO - Iter [48750/160000] lr: 9.983e-07, eta: 1 day, 3:11:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1994, decode.acc_seg: 74.2089, aux.loss_ce: 0.1040, aux.acc_seg: 72.8197, loss: 0.3034 +2022-03-14 11:28:02,732 - mmseg - INFO - Iter [48800/160000] lr: 9.979e-07, eta: 1 day, 3:10:26, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2025, decode.acc_seg: 74.5467, aux.loss_ce: 0.1060, aux.acc_seg: 73.0671, loss: 0.3085 +2022-03-14 11:28:46,139 - mmseg - INFO - Iter [48850/160000] lr: 9.974e-07, eta: 1 day, 3:09:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2078, decode.acc_seg: 75.8729, aux.loss_ce: 0.1083, aux.acc_seg: 74.4834, loss: 0.3160 +2022-03-14 11:29:29,463 - mmseg - INFO - Iter [48900/160000] lr: 9.970e-07, eta: 1 day, 3:08:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1866, decode.acc_seg: 74.2606, aux.loss_ce: 0.0952, aux.acc_seg: 73.0540, loss: 0.2818 +2022-03-14 11:30:12,989 - mmseg - INFO - Iter [48950/160000] lr: 9.965e-07, eta: 1 day, 3:08:11, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2174, decode.acc_seg: 73.1339, aux.loss_ce: 0.1132, aux.acc_seg: 71.6447, loss: 0.3305 +2022-03-14 11:30:56,327 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:30:56,331 - mmseg - INFO - Iter [49000/160000] lr: 9.961e-07, eta: 1 day, 3:07:25, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2066, decode.acc_seg: 74.7254, aux.loss_ce: 0.1051, aux.acc_seg: 73.3656, loss: 0.3117 +2022-03-14 11:31:39,899 - mmseg - INFO - Iter [49050/160000] lr: 9.956e-07, eta: 1 day, 3:06:40, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2090, decode.acc_seg: 74.2222, aux.loss_ce: 0.1119, aux.acc_seg: 72.4915, loss: 0.3209 +2022-03-14 11:32:23,549 - mmseg - INFO - Iter [49100/160000] lr: 9.952e-07, eta: 1 day, 3:05:56, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2152, decode.acc_seg: 73.9385, aux.loss_ce: 0.1102, aux.acc_seg: 72.5782, loss: 0.3254 +2022-03-14 11:33:07,114 - mmseg - INFO - Iter [49150/160000] lr: 9.947e-07, eta: 1 day, 3:05:11, time: 0.871, data_time: 0.008, memory: 73034, decode.loss_ce: 0.2067, decode.acc_seg: 74.4419, aux.loss_ce: 0.1075, aux.acc_seg: 73.0727, loss: 0.3142 +2022-03-14 11:33:50,308 - mmseg - INFO - Iter [49200/160000] lr: 9.943e-07, eta: 1 day, 3:04:25, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2118, decode.acc_seg: 73.2045, aux.loss_ce: 0.1084, aux.acc_seg: 71.9416, loss: 0.3201 +2022-03-14 11:34:33,583 - mmseg - INFO - Iter [49250/160000] lr: 9.938e-07, eta: 1 day, 3:03:39, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2093, decode.acc_seg: 74.1913, aux.loss_ce: 0.1076, aux.acc_seg: 73.1140, loss: 0.3169 +2022-03-14 11:35:19,307 - mmseg - INFO - Iter [49300/160000] lr: 9.934e-07, eta: 1 day, 3:02:59, time: 0.915, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2069, decode.acc_seg: 75.2186, aux.loss_ce: 0.1092, aux.acc_seg: 73.6715, loss: 0.3161 +2022-03-14 11:36:02,572 - mmseg - INFO - Iter [49350/160000] lr: 9.930e-07, eta: 1 day, 3:02:14, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1911, decode.acc_seg: 72.8256, aux.loss_ce: 0.0995, aux.acc_seg: 71.5403, loss: 0.2906 +2022-03-14 11:36:46,070 - mmseg - INFO - Iter [49400/160000] lr: 9.925e-07, eta: 1 day, 3:01:28, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2056, decode.acc_seg: 74.4705, aux.loss_ce: 0.1075, aux.acc_seg: 73.0670, loss: 0.3130 +2022-03-14 11:37:29,357 - mmseg - INFO - Iter [49450/160000] lr: 9.921e-07, eta: 1 day, 3:00:43, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2140, decode.acc_seg: 74.3465, aux.loss_ce: 0.1105, aux.acc_seg: 72.9952, loss: 0.3245 +2022-03-14 11:38:12,802 - mmseg - INFO - Iter [49500/160000] lr: 9.916e-07, eta: 1 day, 2:59:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2047, decode.acc_seg: 74.0173, aux.loss_ce: 0.1094, aux.acc_seg: 72.5104, loss: 0.3141 +2022-03-14 11:38:56,630 - mmseg - INFO - Iter [49550/160000] lr: 9.912e-07, eta: 1 day, 2:59:13, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2094, decode.acc_seg: 74.2677, aux.loss_ce: 0.1072, aux.acc_seg: 72.8982, loss: 0.3166 +2022-03-14 11:39:40,023 - mmseg - INFO - Iter [49600/160000] lr: 9.907e-07, eta: 1 day, 2:58:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1945, decode.acc_seg: 76.6911, aux.loss_ce: 0.1012, aux.acc_seg: 75.2527, loss: 0.2958 +2022-03-14 11:40:23,705 - mmseg - INFO - Iter [49650/160000] lr: 9.903e-07, eta: 1 day, 2:57:43, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1950, decode.acc_seg: 75.1532, aux.loss_ce: 0.1034, aux.acc_seg: 73.7435, loss: 0.2984 +2022-03-14 11:41:07,072 - mmseg - INFO - Iter [49700/160000] lr: 9.898e-07, eta: 1 day, 2:56:58, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2072, decode.acc_seg: 74.5377, aux.loss_ce: 0.1067, aux.acc_seg: 73.2307, loss: 0.3139 +2022-03-14 11:41:50,523 - mmseg - INFO - Iter [49750/160000] lr: 9.894e-07, eta: 1 day, 2:56:13, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1920, decode.acc_seg: 72.9176, aux.loss_ce: 0.1013, aux.acc_seg: 71.3730, loss: 0.2933 +2022-03-14 11:42:33,800 - mmseg - INFO - Iter [49800/160000] lr: 9.889e-07, eta: 1 day, 2:55:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2095, decode.acc_seg: 74.2951, aux.loss_ce: 0.1074, aux.acc_seg: 73.1127, loss: 0.3169 +2022-03-14 11:43:17,235 - mmseg - INFO - Iter [49850/160000] lr: 9.885e-07, eta: 1 day, 2:54:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2083, decode.acc_seg: 74.8253, aux.loss_ce: 0.1075, aux.acc_seg: 73.5931, loss: 0.3158 +2022-03-14 11:44:00,627 - mmseg - INFO - Iter [49900/160000] lr: 9.880e-07, eta: 1 day, 2:53:57, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2109, decode.acc_seg: 74.8650, aux.loss_ce: 0.1076, aux.acc_seg: 73.5650, loss: 0.3185 +2022-03-14 11:44:44,175 - mmseg - INFO - Iter [49950/160000] lr: 9.876e-07, eta: 1 day, 2:53:12, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2034, decode.acc_seg: 74.4092, aux.loss_ce: 0.1062, aux.acc_seg: 72.9097, loss: 0.3096 +2022-03-14 11:45:27,488 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:45:27,498 - mmseg - INFO - Iter [50000/160000] lr: 9.871e-07, eta: 1 day, 2:52:27, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2118, decode.acc_seg: 73.3973, aux.loss_ce: 0.1103, aux.acc_seg: 72.0769, loss: 0.3220 +2022-03-14 11:46:10,979 - mmseg - INFO - Iter [50050/160000] lr: 9.867e-07, eta: 1 day, 2:51:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2042, decode.acc_seg: 74.4957, aux.loss_ce: 0.1076, aux.acc_seg: 73.0220, loss: 0.3118 +2022-03-14 11:46:54,250 - mmseg - INFO - Iter [50100/160000] lr: 9.862e-07, eta: 1 day, 2:50:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2074, decode.acc_seg: 73.5385, aux.loss_ce: 0.1060, aux.acc_seg: 72.2014, loss: 0.3134 +2022-03-14 11:47:37,466 - mmseg - INFO - Iter [50150/160000] lr: 9.858e-07, eta: 1 day, 2:50:11, time: 0.864, data_time: 0.006, memory: 73034, decode.loss_ce: 0.2070, decode.acc_seg: 73.8496, aux.loss_ce: 0.1073, aux.acc_seg: 72.4299, loss: 0.3143 +2022-03-14 11:48:21,043 - mmseg - INFO - Iter [50200/160000] lr: 9.853e-07, eta: 1 day, 2:49:26, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2005, decode.acc_seg: 73.1571, aux.loss_ce: 0.1046, aux.acc_seg: 71.9362, loss: 0.3050 +2022-03-14 11:49:04,366 - mmseg - INFO - Iter [50250/160000] lr: 9.849e-07, eta: 1 day, 2:48:40, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2024, decode.acc_seg: 74.9862, aux.loss_ce: 0.1058, aux.acc_seg: 73.5729, loss: 0.3082 +2022-03-14 11:49:47,658 - mmseg - INFO - Iter [50300/160000] lr: 9.844e-07, eta: 1 day, 2:47:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1944, decode.acc_seg: 72.2330, aux.loss_ce: 0.1010, aux.acc_seg: 70.9804, loss: 0.2954 +2022-03-14 11:50:31,029 - mmseg - INFO - Iter [50350/160000] lr: 9.840e-07, eta: 1 day, 2:47:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2105, decode.acc_seg: 73.5827, aux.loss_ce: 0.1091, aux.acc_seg: 72.2861, loss: 0.3196 +2022-03-14 11:51:14,369 - mmseg - INFO - Iter [50400/160000] lr: 9.835e-07, eta: 1 day, 2:46:24, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2080, decode.acc_seg: 73.6426, aux.loss_ce: 0.1061, aux.acc_seg: 72.4746, loss: 0.3142 +2022-03-14 11:51:57,842 - mmseg - INFO - Iter [50450/160000] lr: 9.831e-07, eta: 1 day, 2:45:39, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2160, decode.acc_seg: 74.3857, aux.loss_ce: 0.1105, aux.acc_seg: 72.9963, loss: 0.3264 +2022-03-14 11:52:41,348 - mmseg - INFO - Iter [50500/160000] lr: 9.826e-07, eta: 1 day, 2:44:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2083, decode.acc_seg: 73.4009, aux.loss_ce: 0.1099, aux.acc_seg: 71.8914, loss: 0.3181 +2022-03-14 11:53:27,019 - mmseg - INFO - Iter [50550/160000] lr: 9.822e-07, eta: 1 day, 2:44:14, time: 0.913, data_time: 0.052, memory: 73034, decode.loss_ce: 0.2069, decode.acc_seg: 74.1603, aux.loss_ce: 0.1071, aux.acc_seg: 72.8420, loss: 0.3140 +2022-03-14 11:54:10,268 - mmseg - INFO - Iter [50600/160000] lr: 9.817e-07, eta: 1 day, 2:43:28, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2006, decode.acc_seg: 74.2712, aux.loss_ce: 0.1058, aux.acc_seg: 72.7472, loss: 0.3064 +2022-03-14 11:54:53,587 - mmseg - INFO - Iter [50650/160000] lr: 9.813e-07, eta: 1 day, 2:42:43, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1978, decode.acc_seg: 73.9815, aux.loss_ce: 0.1031, aux.acc_seg: 72.6523, loss: 0.3009 +2022-03-14 11:55:37,012 - mmseg - INFO - Iter [50700/160000] lr: 9.808e-07, eta: 1 day, 2:41:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1973, decode.acc_seg: 74.4275, aux.loss_ce: 0.1014, aux.acc_seg: 73.0700, loss: 0.2987 +2022-03-14 11:56:20,299 - mmseg - INFO - Iter [50750/160000] lr: 9.804e-07, eta: 1 day, 2:41:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1973, decode.acc_seg: 73.8730, aux.loss_ce: 0.1036, aux.acc_seg: 72.4376, loss: 0.3008 +2022-03-14 11:57:03,908 - mmseg - INFO - Iter [50800/160000] lr: 9.799e-07, eta: 1 day, 2:40:28, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2066, decode.acc_seg: 74.3436, aux.loss_ce: 0.1067, aux.acc_seg: 72.9902, loss: 0.3133 +2022-03-14 11:57:47,342 - mmseg - INFO - Iter [50850/160000] lr: 9.795e-07, eta: 1 day, 2:39:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1998, decode.acc_seg: 74.2237, aux.loss_ce: 0.1036, aux.acc_seg: 73.0992, loss: 0.3034 +2022-03-14 11:58:30,582 - mmseg - INFO - Iter [50900/160000] lr: 9.790e-07, eta: 1 day, 2:38:57, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2056, decode.acc_seg: 72.4992, aux.loss_ce: 0.1072, aux.acc_seg: 71.2028, loss: 0.3127 +2022-03-14 11:59:14,169 - mmseg - INFO - Iter [50950/160000] lr: 9.786e-07, eta: 1 day, 2:38:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1943, decode.acc_seg: 73.3795, aux.loss_ce: 0.1019, aux.acc_seg: 71.9570, loss: 0.2962 +2022-03-14 11:59:57,454 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 11:59:57,456 - mmseg - INFO - Iter [51000/160000] lr: 9.781e-07, eta: 1 day, 2:37:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2053, decode.acc_seg: 74.2101, aux.loss_ce: 0.1062, aux.acc_seg: 72.8631, loss: 0.3115 +2022-03-14 12:00:40,795 - mmseg - INFO - Iter [51050/160000] lr: 9.777e-07, eta: 1 day, 2:36:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1991, decode.acc_seg: 73.1611, aux.loss_ce: 0.1017, aux.acc_seg: 71.9526, loss: 0.3008 +2022-03-14 12:01:24,120 - mmseg - INFO - Iter [51100/160000] lr: 9.772e-07, eta: 1 day, 2:35:56, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1930, decode.acc_seg: 72.0966, aux.loss_ce: 0.1014, aux.acc_seg: 70.6771, loss: 0.2944 +2022-03-14 12:02:07,595 - mmseg - INFO - Iter [51150/160000] lr: 9.768e-07, eta: 1 day, 2:35:11, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2060, decode.acc_seg: 73.1123, aux.loss_ce: 0.1080, aux.acc_seg: 71.5588, loss: 0.3140 +2022-03-14 12:02:51,097 - mmseg - INFO - Iter [51200/160000] lr: 9.764e-07, eta: 1 day, 2:34:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2110, decode.acc_seg: 73.5613, aux.loss_ce: 0.1071, aux.acc_seg: 72.4367, loss: 0.3180 +2022-03-14 12:03:34,468 - mmseg - INFO - Iter [51250/160000] lr: 9.759e-07, eta: 1 day, 2:33:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2108, decode.acc_seg: 73.1713, aux.loss_ce: 0.1084, aux.acc_seg: 71.7770, loss: 0.3192 +2022-03-14 12:04:18,294 - mmseg - INFO - Iter [51300/160000] lr: 9.755e-07, eta: 1 day, 2:32:57, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2087, decode.acc_seg: 73.3143, aux.loss_ce: 0.1091, aux.acc_seg: 71.7902, loss: 0.3178 +2022-03-14 12:05:01,747 - mmseg - INFO - Iter [51350/160000] lr: 9.750e-07, eta: 1 day, 2:32:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2008, decode.acc_seg: 74.4116, aux.loss_ce: 0.1052, aux.acc_seg: 73.0327, loss: 0.3060 +2022-03-14 12:05:45,347 - mmseg - INFO - Iter [51400/160000] lr: 9.746e-07, eta: 1 day, 2:31:27, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1935, decode.acc_seg: 74.0711, aux.loss_ce: 0.1014, aux.acc_seg: 72.6501, loss: 0.2949 +2022-03-14 12:06:28,854 - mmseg - INFO - Iter [51450/160000] lr: 9.741e-07, eta: 1 day, 2:30:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1928, decode.acc_seg: 73.7699, aux.loss_ce: 0.0995, aux.acc_seg: 72.3728, loss: 0.2923 +2022-03-14 12:07:12,183 - mmseg - INFO - Iter [51500/160000] lr: 9.737e-07, eta: 1 day, 2:29:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2108, decode.acc_seg: 74.4007, aux.loss_ce: 0.1092, aux.acc_seg: 73.1356, loss: 0.3200 +2022-03-14 12:07:55,618 - mmseg - INFO - Iter [51550/160000] lr: 9.732e-07, eta: 1 day, 2:29:12, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1912, decode.acc_seg: 73.8039, aux.loss_ce: 0.0976, aux.acc_seg: 72.6441, loss: 0.2888 +2022-03-14 12:08:39,056 - mmseg - INFO - Iter [51600/160000] lr: 9.728e-07, eta: 1 day, 2:28:27, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2085, decode.acc_seg: 74.6004, aux.loss_ce: 0.1077, aux.acc_seg: 73.2126, loss: 0.3163 +2022-03-14 12:09:22,581 - mmseg - INFO - Iter [51650/160000] lr: 9.723e-07, eta: 1 day, 2:27:42, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2045, decode.acc_seg: 73.9947, aux.loss_ce: 0.1062, aux.acc_seg: 72.5675, loss: 0.3106 +2022-03-14 12:10:06,007 - mmseg - INFO - Iter [51700/160000] lr: 9.719e-07, eta: 1 day, 2:26:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2028, decode.acc_seg: 74.2508, aux.loss_ce: 0.1029, aux.acc_seg: 73.0086, loss: 0.3057 +2022-03-14 12:10:49,321 - mmseg - INFO - Iter [51750/160000] lr: 9.714e-07, eta: 1 day, 2:26:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2073, decode.acc_seg: 73.7351, aux.loss_ce: 0.1085, aux.acc_seg: 72.3451, loss: 0.3157 +2022-03-14 12:11:35,142 - mmseg - INFO - Iter [51800/160000] lr: 9.710e-07, eta: 1 day, 2:25:31, time: 0.916, data_time: 0.051, memory: 73034, decode.loss_ce: 0.2100, decode.acc_seg: 74.1447, aux.loss_ce: 0.1101, aux.acc_seg: 72.7836, loss: 0.3202 +2022-03-14 12:12:18,687 - mmseg - INFO - Iter [51850/160000] lr: 9.705e-07, eta: 1 day, 2:24:46, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1993, decode.acc_seg: 73.2051, aux.loss_ce: 0.1010, aux.acc_seg: 71.9504, loss: 0.3003 +2022-03-14 12:13:02,180 - mmseg - INFO - Iter [51900/160000] lr: 9.701e-07, eta: 1 day, 2:24:01, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2073, decode.acc_seg: 72.7241, aux.loss_ce: 0.1071, aux.acc_seg: 71.3413, loss: 0.3144 +2022-03-14 12:13:45,438 - mmseg - INFO - Iter [51950/160000] lr: 9.696e-07, eta: 1 day, 2:23:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2001, decode.acc_seg: 75.0662, aux.loss_ce: 0.1026, aux.acc_seg: 73.7661, loss: 0.3027 +2022-03-14 12:14:28,831 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 12:14:28,833 - mmseg - INFO - Iter [52000/160000] lr: 9.692e-07, eta: 1 day, 2:22:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1811, decode.acc_seg: 75.5286, aux.loss_ce: 0.0942, aux.acc_seg: 74.1208, loss: 0.2753 +2022-03-14 12:15:12,308 - mmseg - INFO - Iter [52050/160000] lr: 9.687e-07, eta: 1 day, 2:21:46, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2066, decode.acc_seg: 73.6210, aux.loss_ce: 0.1076, aux.acc_seg: 72.2216, loss: 0.3142 +2022-03-14 12:15:55,761 - mmseg - INFO - Iter [52100/160000] lr: 9.683e-07, eta: 1 day, 2:21:01, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2016, decode.acc_seg: 73.2068, aux.loss_ce: 0.1059, aux.acc_seg: 71.7682, loss: 0.3074 +2022-03-14 12:16:39,096 - mmseg - INFO - Iter [52150/160000] lr: 9.678e-07, eta: 1 day, 2:20:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2019, decode.acc_seg: 73.9132, aux.loss_ce: 0.1035, aux.acc_seg: 72.5864, loss: 0.3053 +2022-03-14 12:17:22,450 - mmseg - INFO - Iter [52200/160000] lr: 9.674e-07, eta: 1 day, 2:19:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2058, decode.acc_seg: 75.3129, aux.loss_ce: 0.1099, aux.acc_seg: 73.7255, loss: 0.3157 +2022-03-14 12:18:06,051 - mmseg - INFO - Iter [52250/160000] lr: 9.669e-07, eta: 1 day, 2:18:46, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1997, decode.acc_seg: 75.2131, aux.loss_ce: 0.1046, aux.acc_seg: 73.6860, loss: 0.3043 +2022-03-14 12:18:49,562 - mmseg - INFO - Iter [52300/160000] lr: 9.665e-07, eta: 1 day, 2:18:01, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2060, decode.acc_seg: 75.3959, aux.loss_ce: 0.1070, aux.acc_seg: 73.9364, loss: 0.3129 +2022-03-14 12:19:32,900 - mmseg - INFO - Iter [52350/160000] lr: 9.660e-07, eta: 1 day, 2:17:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2006, decode.acc_seg: 75.2106, aux.loss_ce: 0.1045, aux.acc_seg: 73.8876, loss: 0.3051 +2022-03-14 12:20:16,096 - mmseg - INFO - Iter [52400/160000] lr: 9.656e-07, eta: 1 day, 2:16:30, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1794, decode.acc_seg: 74.3689, aux.loss_ce: 0.0962, aux.acc_seg: 73.0569, loss: 0.2756 +2022-03-14 12:20:59,726 - mmseg - INFO - Iter [52450/160000] lr: 9.651e-07, eta: 1 day, 2:15:46, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1994, decode.acc_seg: 73.8262, aux.loss_ce: 0.1043, aux.acc_seg: 72.2249, loss: 0.3036 +2022-03-14 12:21:43,301 - mmseg - INFO - Iter [52500/160000] lr: 9.647e-07, eta: 1 day, 2:15:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1996, decode.acc_seg: 74.1341, aux.loss_ce: 0.1043, aux.acc_seg: 72.6420, loss: 0.3039 +2022-03-14 12:22:26,709 - mmseg - INFO - Iter [52550/160000] lr: 9.642e-07, eta: 1 day, 2:14:16, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1991, decode.acc_seg: 74.3077, aux.loss_ce: 0.1037, aux.acc_seg: 72.8476, loss: 0.3028 +2022-03-14 12:23:10,147 - mmseg - INFO - Iter [52600/160000] lr: 9.638e-07, eta: 1 day, 2:13:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2062, decode.acc_seg: 74.2659, aux.loss_ce: 0.1049, aux.acc_seg: 72.9926, loss: 0.3111 +2022-03-14 12:23:53,627 - mmseg - INFO - Iter [52650/160000] lr: 9.633e-07, eta: 1 day, 2:12:46, time: 0.870, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1976, decode.acc_seg: 75.2789, aux.loss_ce: 0.1031, aux.acc_seg: 73.9247, loss: 0.3007 +2022-03-14 12:24:36,862 - mmseg - INFO - Iter [52700/160000] lr: 9.629e-07, eta: 1 day, 2:12:00, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1947, decode.acc_seg: 74.8085, aux.loss_ce: 0.1032, aux.acc_seg: 73.4073, loss: 0.2979 +2022-03-14 12:25:20,298 - mmseg - INFO - Iter [52750/160000] lr: 9.624e-07, eta: 1 day, 2:11:15, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1963, decode.acc_seg: 74.3065, aux.loss_ce: 0.1020, aux.acc_seg: 72.9552, loss: 0.2983 +2022-03-14 12:26:03,762 - mmseg - INFO - Iter [52800/160000] lr: 9.620e-07, eta: 1 day, 2:10:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2031, decode.acc_seg: 73.5382, aux.loss_ce: 0.1061, aux.acc_seg: 72.0601, loss: 0.3092 +2022-03-14 12:26:47,262 - mmseg - INFO - Iter [52850/160000] lr: 9.615e-07, eta: 1 day, 2:09:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1881, decode.acc_seg: 74.0448, aux.loss_ce: 0.0999, aux.acc_seg: 72.5197, loss: 0.2880 +2022-03-14 12:27:30,626 - mmseg - INFO - Iter [52900/160000] lr: 9.611e-07, eta: 1 day, 2:09:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1911, decode.acc_seg: 74.7471, aux.loss_ce: 0.0986, aux.acc_seg: 73.5311, loss: 0.2897 +2022-03-14 12:28:13,849 - mmseg - INFO - Iter [52950/160000] lr: 9.606e-07, eta: 1 day, 2:08:15, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1919, decode.acc_seg: 73.2597, aux.loss_ce: 0.1009, aux.acc_seg: 71.9337, loss: 0.2928 +2022-03-14 12:28:57,065 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 12:28:57,069 - mmseg - INFO - Iter [53000/160000] lr: 9.602e-07, eta: 1 day, 2:07:30, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2072, decode.acc_seg: 73.5271, aux.loss_ce: 0.1049, aux.acc_seg: 72.2584, loss: 0.3120 +2022-03-14 12:29:42,934 - mmseg - INFO - Iter [53050/160000] lr: 9.597e-07, eta: 1 day, 2:06:50, time: 0.917, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1975, decode.acc_seg: 74.0294, aux.loss_ce: 0.1025, aux.acc_seg: 72.6895, loss: 0.2999 +2022-03-14 12:30:26,408 - mmseg - INFO - Iter [53100/160000] lr: 9.593e-07, eta: 1 day, 2:06:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1937, decode.acc_seg: 75.4707, aux.loss_ce: 0.1019, aux.acc_seg: 73.9805, loss: 0.2956 +2022-03-14 12:31:09,819 - mmseg - INFO - Iter [53150/160000] lr: 9.589e-07, eta: 1 day, 2:05:20, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1850, decode.acc_seg: 74.7938, aux.loss_ce: 0.0983, aux.acc_seg: 73.3533, loss: 0.2833 +2022-03-14 12:31:53,034 - mmseg - INFO - Iter [53200/160000] lr: 9.584e-07, eta: 1 day, 2:04:34, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1861, decode.acc_seg: 75.3155, aux.loss_ce: 0.0976, aux.acc_seg: 73.8653, loss: 0.2838 +2022-03-14 12:32:36,333 - mmseg - INFO - Iter [53250/160000] lr: 9.580e-07, eta: 1 day, 2:03:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1905, decode.acc_seg: 75.3417, aux.loss_ce: 0.0997, aux.acc_seg: 74.1096, loss: 0.2902 +2022-03-14 12:33:19,761 - mmseg - INFO - Iter [53300/160000] lr: 9.575e-07, eta: 1 day, 2:03:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1862, decode.acc_seg: 75.0440, aux.loss_ce: 0.0974, aux.acc_seg: 73.6491, loss: 0.2837 +2022-03-14 12:34:03,082 - mmseg - INFO - Iter [53350/160000] lr: 9.571e-07, eta: 1 day, 2:02:19, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1847, decode.acc_seg: 74.3786, aux.loss_ce: 0.0974, aux.acc_seg: 73.0057, loss: 0.2822 +2022-03-14 12:34:46,515 - mmseg - INFO - Iter [53400/160000] lr: 9.566e-07, eta: 1 day, 2:01:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2019, decode.acc_seg: 73.3893, aux.loss_ce: 0.1060, aux.acc_seg: 71.9193, loss: 0.3079 +2022-03-14 12:35:30,020 - mmseg - INFO - Iter [53450/160000] lr: 9.562e-07, eta: 1 day, 2:00:49, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1827, decode.acc_seg: 73.0423, aux.loss_ce: 0.0958, aux.acc_seg: 71.5977, loss: 0.2785 +2022-03-14 12:36:13,357 - mmseg - INFO - Iter [53500/160000] lr: 9.557e-07, eta: 1 day, 2:00:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1984, decode.acc_seg: 72.9609, aux.loss_ce: 0.1024, aux.acc_seg: 71.6488, loss: 0.3008 +2022-03-14 12:36:56,514 - mmseg - INFO - Iter [53550/160000] lr: 9.553e-07, eta: 1 day, 1:59:18, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2033, decode.acc_seg: 73.7379, aux.loss_ce: 0.1048, aux.acc_seg: 72.3512, loss: 0.3081 +2022-03-14 12:37:39,827 - mmseg - INFO - Iter [53600/160000] lr: 9.548e-07, eta: 1 day, 1:58:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2075, decode.acc_seg: 74.5188, aux.loss_ce: 0.1070, aux.acc_seg: 72.9896, loss: 0.3145 +2022-03-14 12:38:23,042 - mmseg - INFO - Iter [53650/160000] lr: 9.544e-07, eta: 1 day, 1:57:48, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1925, decode.acc_seg: 74.1277, aux.loss_ce: 0.1001, aux.acc_seg: 72.7179, loss: 0.2926 +2022-03-14 12:39:06,354 - mmseg - INFO - Iter [53700/160000] lr: 9.539e-07, eta: 1 day, 1:57:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2033, decode.acc_seg: 75.5472, aux.loss_ce: 0.1070, aux.acc_seg: 74.0611, loss: 0.3103 +2022-03-14 12:39:49,543 - mmseg - INFO - Iter [53750/160000] lr: 9.535e-07, eta: 1 day, 1:56:17, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1907, decode.acc_seg: 74.7798, aux.loss_ce: 0.0991, aux.acc_seg: 73.3445, loss: 0.2898 +2022-03-14 12:40:32,799 - mmseg - INFO - Iter [53800/160000] lr: 9.530e-07, eta: 1 day, 1:55:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1958, decode.acc_seg: 75.3888, aux.loss_ce: 0.1004, aux.acc_seg: 74.1970, loss: 0.2962 +2022-03-14 12:41:16,191 - mmseg - INFO - Iter [53850/160000] lr: 9.526e-07, eta: 1 day, 1:54:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2048, decode.acc_seg: 74.3351, aux.loss_ce: 0.1058, aux.acc_seg: 73.0450, loss: 0.3106 +2022-03-14 12:41:59,684 - mmseg - INFO - Iter [53900/160000] lr: 9.521e-07, eta: 1 day, 1:54:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2032, decode.acc_seg: 75.9770, aux.loss_ce: 0.1052, aux.acc_seg: 74.6522, loss: 0.3084 +2022-03-14 12:42:43,210 - mmseg - INFO - Iter [53950/160000] lr: 9.517e-07, eta: 1 day, 1:53:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2042, decode.acc_seg: 73.0887, aux.loss_ce: 0.1033, aux.acc_seg: 71.7587, loss: 0.3075 +2022-03-14 12:43:26,586 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 12:43:26,588 - mmseg - INFO - Iter [54000/160000] lr: 9.512e-07, eta: 1 day, 1:52:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1956, decode.acc_seg: 74.5327, aux.loss_ce: 0.1020, aux.acc_seg: 73.1206, loss: 0.2976 +2022-03-14 12:44:09,911 - mmseg - INFO - Iter [54050/160000] lr: 9.508e-07, eta: 1 day, 1:51:47, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2034, decode.acc_seg: 74.6726, aux.loss_ce: 0.1045, aux.acc_seg: 73.4816, loss: 0.3079 +2022-03-14 12:44:53,200 - mmseg - INFO - Iter [54100/160000] lr: 9.503e-07, eta: 1 day, 1:51:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1941, decode.acc_seg: 73.2309, aux.loss_ce: 0.1003, aux.acc_seg: 71.9407, loss: 0.2943 +2022-03-14 12:45:36,548 - mmseg - INFO - Iter [54150/160000] lr: 9.499e-07, eta: 1 day, 1:50:17, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1890, decode.acc_seg: 74.0479, aux.loss_ce: 0.0996, aux.acc_seg: 72.6914, loss: 0.2886 +2022-03-14 12:46:20,042 - mmseg - INFO - Iter [54200/160000] lr: 9.494e-07, eta: 1 day, 1:49:32, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1875, decode.acc_seg: 73.1567, aux.loss_ce: 0.0982, aux.acc_seg: 71.7933, loss: 0.2857 +2022-03-14 12:47:03,523 - mmseg - INFO - Iter [54250/160000] lr: 9.490e-07, eta: 1 day, 1:48:47, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1972, decode.acc_seg: 75.2820, aux.loss_ce: 0.1023, aux.acc_seg: 73.8754, loss: 0.2995 +2022-03-14 12:47:46,896 - mmseg - INFO - Iter [54300/160000] lr: 9.485e-07, eta: 1 day, 1:48:02, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1940, decode.acc_seg: 74.8052, aux.loss_ce: 0.1022, aux.acc_seg: 73.3366, loss: 0.2962 +2022-03-14 12:48:32,854 - mmseg - INFO - Iter [54350/160000] lr: 9.481e-07, eta: 1 day, 1:47:22, time: 0.919, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1877, decode.acc_seg: 74.2911, aux.loss_ce: 0.0976, aux.acc_seg: 73.1011, loss: 0.2852 +2022-03-14 12:49:16,073 - mmseg - INFO - Iter [54400/160000] lr: 9.476e-07, eta: 1 day, 1:46:37, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1908, decode.acc_seg: 72.7272, aux.loss_ce: 0.0984, aux.acc_seg: 71.6390, loss: 0.2891 +2022-03-14 12:49:59,410 - mmseg - INFO - Iter [54450/160000] lr: 9.472e-07, eta: 1 day, 1:45:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1961, decode.acc_seg: 74.9783, aux.loss_ce: 0.1039, aux.acc_seg: 73.4924, loss: 0.3000 +2022-03-14 12:50:42,890 - mmseg - INFO - Iter [54500/160000] lr: 9.467e-07, eta: 1 day, 1:45:07, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1952, decode.acc_seg: 73.8794, aux.loss_ce: 0.1017, aux.acc_seg: 72.5858, loss: 0.2968 +2022-03-14 12:51:26,103 - mmseg - INFO - Iter [54550/160000] lr: 9.463e-07, eta: 1 day, 1:44:21, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1954, decode.acc_seg: 74.4722, aux.loss_ce: 0.1016, aux.acc_seg: 73.1133, loss: 0.2970 +2022-03-14 12:52:09,516 - mmseg - INFO - Iter [54600/160000] lr: 9.458e-07, eta: 1 day, 1:43:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1980, decode.acc_seg: 74.0812, aux.loss_ce: 0.1029, aux.acc_seg: 72.7838, loss: 0.3008 +2022-03-14 12:52:52,849 - mmseg - INFO - Iter [54650/160000] lr: 9.454e-07, eta: 1 day, 1:42:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1946, decode.acc_seg: 74.1651, aux.loss_ce: 0.1055, aux.acc_seg: 72.4533, loss: 0.3001 +2022-03-14 12:53:36,319 - mmseg - INFO - Iter [54700/160000] lr: 9.449e-07, eta: 1 day, 1:42:06, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1949, decode.acc_seg: 73.4506, aux.loss_ce: 0.1038, aux.acc_seg: 72.0489, loss: 0.2987 +2022-03-14 12:54:19,556 - mmseg - INFO - Iter [54750/160000] lr: 9.445e-07, eta: 1 day, 1:41:21, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1991, decode.acc_seg: 74.8676, aux.loss_ce: 0.1039, aux.acc_seg: 73.5579, loss: 0.3030 +2022-03-14 12:55:02,954 - mmseg - INFO - Iter [54800/160000] lr: 9.440e-07, eta: 1 day, 1:40:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1907, decode.acc_seg: 74.4771, aux.loss_ce: 0.1003, aux.acc_seg: 73.1462, loss: 0.2909 +2022-03-14 12:55:46,144 - mmseg - INFO - Iter [54850/160000] lr: 9.436e-07, eta: 1 day, 1:39:51, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1943, decode.acc_seg: 74.3190, aux.loss_ce: 0.1030, aux.acc_seg: 72.8819, loss: 0.2973 +2022-03-14 12:56:29,420 - mmseg - INFO - Iter [54900/160000] lr: 9.431e-07, eta: 1 day, 1:39:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1931, decode.acc_seg: 74.8365, aux.loss_ce: 0.1002, aux.acc_seg: 73.5184, loss: 0.2933 +2022-03-14 12:57:12,700 - mmseg - INFO - Iter [54950/160000] lr: 9.427e-07, eta: 1 day, 1:38:20, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1980, decode.acc_seg: 74.5486, aux.loss_ce: 0.1019, aux.acc_seg: 73.4201, loss: 0.3000 +2022-03-14 12:57:56,344 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 12:57:56,348 - mmseg - INFO - Iter [55000/160000] lr: 9.423e-07, eta: 1 day, 1:37:36, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1891, decode.acc_seg: 74.8842, aux.loss_ce: 0.0985, aux.acc_seg: 73.7402, loss: 0.2876 +2022-03-14 12:58:39,605 - mmseg - INFO - Iter [55050/160000] lr: 9.418e-07, eta: 1 day, 1:36:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1914, decode.acc_seg: 73.3527, aux.loss_ce: 0.0995, aux.acc_seg: 72.0627, loss: 0.2909 +2022-03-14 12:59:22,952 - mmseg - INFO - Iter [55100/160000] lr: 9.414e-07, eta: 1 day, 1:36:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1970, decode.acc_seg: 75.3114, aux.loss_ce: 0.1034, aux.acc_seg: 73.8820, loss: 0.3003 +2022-03-14 13:00:06,184 - mmseg - INFO - Iter [55150/160000] lr: 9.409e-07, eta: 1 day, 1:35:20, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1976, decode.acc_seg: 74.7536, aux.loss_ce: 0.1040, aux.acc_seg: 73.4604, loss: 0.3016 +2022-03-14 13:00:49,588 - mmseg - INFO - Iter [55200/160000] lr: 9.405e-07, eta: 1 day, 1:34:36, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1912, decode.acc_seg: 73.5212, aux.loss_ce: 0.0986, aux.acc_seg: 72.2772, loss: 0.2898 +2022-03-14 13:01:33,298 - mmseg - INFO - Iter [55250/160000] lr: 9.400e-07, eta: 1 day, 1:33:51, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1963, decode.acc_seg: 74.5976, aux.loss_ce: 0.1007, aux.acc_seg: 73.3646, loss: 0.2970 +2022-03-14 13:02:16,685 - mmseg - INFO - Iter [55300/160000] lr: 9.396e-07, eta: 1 day, 1:33:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1915, decode.acc_seg: 74.4734, aux.loss_ce: 0.1012, aux.acc_seg: 73.0274, loss: 0.2927 +2022-03-14 13:02:59,976 - mmseg - INFO - Iter [55350/160000] lr: 9.391e-07, eta: 1 day, 1:32:21, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1979, decode.acc_seg: 74.5872, aux.loss_ce: 0.1035, aux.acc_seg: 73.2702, loss: 0.3014 +2022-03-14 13:03:43,513 - mmseg - INFO - Iter [55400/160000] lr: 9.387e-07, eta: 1 day, 1:31:36, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1936, decode.acc_seg: 75.2099, aux.loss_ce: 0.0997, aux.acc_seg: 73.9242, loss: 0.2933 +2022-03-14 13:04:26,961 - mmseg - INFO - Iter [55450/160000] lr: 9.382e-07, eta: 1 day, 1:30:52, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1891, decode.acc_seg: 74.0772, aux.loss_ce: 0.0976, aux.acc_seg: 72.7886, loss: 0.2867 +2022-03-14 13:05:10,284 - mmseg - INFO - Iter [55500/160000] lr: 9.378e-07, eta: 1 day, 1:30:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2083, decode.acc_seg: 75.1127, aux.loss_ce: 0.1068, aux.acc_seg: 73.8464, loss: 0.3150 +2022-03-14 13:05:53,673 - mmseg - INFO - Iter [55550/160000] lr: 9.373e-07, eta: 1 day, 1:29:22, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1991, decode.acc_seg: 73.9656, aux.loss_ce: 0.1030, aux.acc_seg: 72.6613, loss: 0.3021 +2022-03-14 13:06:39,616 - mmseg - INFO - Iter [55600/160000] lr: 9.369e-07, eta: 1 day, 1:28:41, time: 0.919, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1884, decode.acc_seg: 73.7117, aux.loss_ce: 0.1017, aux.acc_seg: 72.2826, loss: 0.2901 +2022-03-14 13:07:22,903 - mmseg - INFO - Iter [55650/160000] lr: 9.364e-07, eta: 1 day, 1:27:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1790, decode.acc_seg: 74.5525, aux.loss_ce: 0.0951, aux.acc_seg: 73.2240, loss: 0.2740 +2022-03-14 13:08:06,328 - mmseg - INFO - Iter [55700/160000] lr: 9.360e-07, eta: 1 day, 1:27:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1768, decode.acc_seg: 74.1743, aux.loss_ce: 0.0933, aux.acc_seg: 72.8870, loss: 0.2701 +2022-03-14 13:08:49,528 - mmseg - INFO - Iter [55750/160000] lr: 9.355e-07, eta: 1 day, 1:26:26, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1831, decode.acc_seg: 73.5156, aux.loss_ce: 0.0963, aux.acc_seg: 72.2996, loss: 0.2794 +2022-03-14 13:09:32,930 - mmseg - INFO - Iter [55800/160000] lr: 9.351e-07, eta: 1 day, 1:25:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1922, decode.acc_seg: 75.4044, aux.loss_ce: 0.0992, aux.acc_seg: 74.1181, loss: 0.2914 +2022-03-14 13:10:16,194 - mmseg - INFO - Iter [55850/160000] lr: 9.346e-07, eta: 1 day, 1:24:56, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1871, decode.acc_seg: 73.4769, aux.loss_ce: 0.0978, aux.acc_seg: 72.1432, loss: 0.2849 +2022-03-14 13:10:59,376 - mmseg - INFO - Iter [55900/160000] lr: 9.342e-07, eta: 1 day, 1:24:11, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2021, decode.acc_seg: 75.5156, aux.loss_ce: 0.1045, aux.acc_seg: 74.2920, loss: 0.3066 +2022-03-14 13:11:42,797 - mmseg - INFO - Iter [55950/160000] lr: 9.337e-07, eta: 1 day, 1:23:26, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2016, decode.acc_seg: 74.3341, aux.loss_ce: 0.1061, aux.acc_seg: 72.7533, loss: 0.3078 +2022-03-14 13:12:26,299 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 13:12:26,302 - mmseg - INFO - Iter [56000/160000] lr: 9.333e-07, eta: 1 day, 1:22:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1881, decode.acc_seg: 74.5968, aux.loss_ce: 0.0980, aux.acc_seg: 73.4067, loss: 0.2860 +2022-03-14 13:13:09,896 - mmseg - INFO - Iter [56050/160000] lr: 9.328e-07, eta: 1 day, 1:21:57, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2061, decode.acc_seg: 75.0011, aux.loss_ce: 0.1064, aux.acc_seg: 73.6238, loss: 0.3124 +2022-03-14 13:13:53,436 - mmseg - INFO - Iter [56100/160000] lr: 9.324e-07, eta: 1 day, 1:21:12, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1827, decode.acc_seg: 74.8698, aux.loss_ce: 0.0955, aux.acc_seg: 73.5996, loss: 0.2782 +2022-03-14 13:14:36,784 - mmseg - INFO - Iter [56150/160000] lr: 9.319e-07, eta: 1 day, 1:20:27, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1918, decode.acc_seg: 72.9106, aux.loss_ce: 0.0988, aux.acc_seg: 71.6672, loss: 0.2907 +2022-03-14 13:15:20,269 - mmseg - INFO - Iter [56200/160000] lr: 9.315e-07, eta: 1 day, 1:19:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1927, decode.acc_seg: 74.0101, aux.loss_ce: 0.1010, aux.acc_seg: 72.5719, loss: 0.2937 +2022-03-14 13:16:03,576 - mmseg - INFO - Iter [56250/160000] lr: 9.310e-07, eta: 1 day, 1:18:57, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1858, decode.acc_seg: 73.9469, aux.loss_ce: 0.0954, aux.acc_seg: 72.7721, loss: 0.2812 +2022-03-14 13:16:47,023 - mmseg - INFO - Iter [56300/160000] lr: 9.306e-07, eta: 1 day, 1:18:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1853, decode.acc_seg: 73.5067, aux.loss_ce: 0.0980, aux.acc_seg: 72.0181, loss: 0.2833 +2022-03-14 13:17:30,242 - mmseg - INFO - Iter [56350/160000] lr: 9.301e-07, eta: 1 day, 1:17:27, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1898, decode.acc_seg: 75.5551, aux.loss_ce: 0.1015, aux.acc_seg: 74.2047, loss: 0.2913 +2022-03-14 13:18:13,550 - mmseg - INFO - Iter [56400/160000] lr: 9.297e-07, eta: 1 day, 1:16:42, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1906, decode.acc_seg: 73.7516, aux.loss_ce: 0.1010, aux.acc_seg: 72.3628, loss: 0.2915 +2022-03-14 13:18:57,094 - mmseg - INFO - Iter [56450/160000] lr: 9.292e-07, eta: 1 day, 1:15:58, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1946, decode.acc_seg: 74.5865, aux.loss_ce: 0.1009, aux.acc_seg: 73.1541, loss: 0.2955 +2022-03-14 13:19:40,539 - mmseg - INFO - Iter [56500/160000] lr: 9.288e-07, eta: 1 day, 1:15:13, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1958, decode.acc_seg: 75.6039, aux.loss_ce: 0.1005, aux.acc_seg: 74.4447, loss: 0.2963 +2022-03-14 13:20:24,168 - mmseg - INFO - Iter [56550/160000] lr: 9.283e-07, eta: 1 day, 1:14:28, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1972, decode.acc_seg: 73.3996, aux.loss_ce: 0.1016, aux.acc_seg: 72.2594, loss: 0.2988 +2022-03-14 13:21:07,427 - mmseg - INFO - Iter [56600/160000] lr: 9.279e-07, eta: 1 day, 1:13:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1886, decode.acc_seg: 75.3701, aux.loss_ce: 0.0987, aux.acc_seg: 73.9005, loss: 0.2873 +2022-03-14 13:21:50,750 - mmseg - INFO - Iter [56650/160000] lr: 9.274e-07, eta: 1 day, 1:12:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1946, decode.acc_seg: 74.4268, aux.loss_ce: 0.1016, aux.acc_seg: 73.0651, loss: 0.2962 +2022-03-14 13:22:34,197 - mmseg - INFO - Iter [56700/160000] lr: 9.270e-07, eta: 1 day, 1:12:13, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1861, decode.acc_seg: 74.2906, aux.loss_ce: 0.0994, aux.acc_seg: 72.7994, loss: 0.2855 +2022-03-14 13:23:17,591 - mmseg - INFO - Iter [56750/160000] lr: 9.265e-07, eta: 1 day, 1:11:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1963, decode.acc_seg: 74.5475, aux.loss_ce: 0.1021, aux.acc_seg: 73.2161, loss: 0.2984 +2022-03-14 13:24:00,994 - mmseg - INFO - Iter [56800/160000] lr: 9.261e-07, eta: 1 day, 1:10:44, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1945, decode.acc_seg: 73.5634, aux.loss_ce: 0.1006, aux.acc_seg: 72.2782, loss: 0.2951 +2022-03-14 13:24:47,068 - mmseg - INFO - Iter [56850/160000] lr: 9.256e-07, eta: 1 day, 1:10:04, time: 0.920, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1984, decode.acc_seg: 75.0051, aux.loss_ce: 0.1056, aux.acc_seg: 73.3404, loss: 0.3040 +2022-03-14 13:25:30,276 - mmseg - INFO - Iter [56900/160000] lr: 9.252e-07, eta: 1 day, 1:09:18, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1760, decode.acc_seg: 73.4503, aux.loss_ce: 0.0924, aux.acc_seg: 72.2075, loss: 0.2685 +2022-03-14 13:26:13,457 - mmseg - INFO - Iter [56950/160000] lr: 9.248e-07, eta: 1 day, 1:08:33, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1730, decode.acc_seg: 74.9028, aux.loss_ce: 0.0926, aux.acc_seg: 73.5135, loss: 0.2657 +2022-03-14 13:26:56,720 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 13:26:56,723 - mmseg - INFO - Iter [57000/160000] lr: 9.243e-07, eta: 1 day, 1:07:48, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1846, decode.acc_seg: 75.3177, aux.loss_ce: 0.0952, aux.acc_seg: 74.1290, loss: 0.2798 +2022-03-14 13:27:39,847 - mmseg - INFO - Iter [57050/160000] lr: 9.239e-07, eta: 1 day, 1:07:03, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1792, decode.acc_seg: 74.3139, aux.loss_ce: 0.0951, aux.acc_seg: 72.9791, loss: 0.2743 +2022-03-14 13:28:23,166 - mmseg - INFO - Iter [57100/160000] lr: 9.234e-07, eta: 1 day, 1:06:18, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1920, decode.acc_seg: 72.7443, aux.loss_ce: 0.0996, aux.acc_seg: 71.3897, loss: 0.2916 +2022-03-14 13:29:06,756 - mmseg - INFO - Iter [57150/160000] lr: 9.230e-07, eta: 1 day, 1:05:33, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1878, decode.acc_seg: 74.6914, aux.loss_ce: 0.0976, aux.acc_seg: 73.4806, loss: 0.2854 +2022-03-14 13:29:50,173 - mmseg - INFO - Iter [57200/160000] lr: 9.225e-07, eta: 1 day, 1:04:48, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1892, decode.acc_seg: 73.8607, aux.loss_ce: 0.0973, aux.acc_seg: 72.6904, loss: 0.2865 +2022-03-14 13:30:33,653 - mmseg - INFO - Iter [57250/160000] lr: 9.221e-07, eta: 1 day, 1:04:04, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1925, decode.acc_seg: 74.5987, aux.loss_ce: 0.0963, aux.acc_seg: 73.4494, loss: 0.2888 +2022-03-14 13:31:17,066 - mmseg - INFO - Iter [57300/160000] lr: 9.216e-07, eta: 1 day, 1:03:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1993, decode.acc_seg: 73.4458, aux.loss_ce: 0.1039, aux.acc_seg: 72.0314, loss: 0.3032 +2022-03-14 13:32:00,543 - mmseg - INFO - Iter [57350/160000] lr: 9.212e-07, eta: 1 day, 1:02:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1939, decode.acc_seg: 74.4918, aux.loss_ce: 0.1013, aux.acc_seg: 73.0337, loss: 0.2953 +2022-03-14 13:32:43,907 - mmseg - INFO - Iter [57400/160000] lr: 9.207e-07, eta: 1 day, 1:01:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1924, decode.acc_seg: 74.5970, aux.loss_ce: 0.1015, aux.acc_seg: 73.2247, loss: 0.2939 +2022-03-14 13:33:27,373 - mmseg - INFO - Iter [57450/160000] lr: 9.203e-07, eta: 1 day, 1:01:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2026, decode.acc_seg: 74.0260, aux.loss_ce: 0.1040, aux.acc_seg: 72.6340, loss: 0.3066 +2022-03-14 13:34:10,794 - mmseg - INFO - Iter [57500/160000] lr: 9.198e-07, eta: 1 day, 1:00:20, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1958, decode.acc_seg: 74.5538, aux.loss_ce: 0.1007, aux.acc_seg: 73.2381, loss: 0.2965 +2022-03-14 13:34:54,089 - mmseg - INFO - Iter [57550/160000] lr: 9.194e-07, eta: 1 day, 0:59:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1961, decode.acc_seg: 73.9370, aux.loss_ce: 0.1041, aux.acc_seg: 72.4948, loss: 0.3002 +2022-03-14 13:35:37,811 - mmseg - INFO - Iter [57600/160000] lr: 9.189e-07, eta: 1 day, 0:58:51, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2007, decode.acc_seg: 73.6967, aux.loss_ce: 0.1028, aux.acc_seg: 72.4633, loss: 0.3035 +2022-03-14 13:36:21,344 - mmseg - INFO - Iter [57650/160000] lr: 9.185e-07, eta: 1 day, 0:58:06, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2019, decode.acc_seg: 76.3818, aux.loss_ce: 0.1056, aux.acc_seg: 74.9400, loss: 0.3075 +2022-03-14 13:37:05,038 - mmseg - INFO - Iter [57700/160000] lr: 9.180e-07, eta: 1 day, 0:57:22, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1820, decode.acc_seg: 74.9700, aux.loss_ce: 0.0959, aux.acc_seg: 73.6869, loss: 0.2780 +2022-03-14 13:37:48,494 - mmseg - INFO - Iter [57750/160000] lr: 9.176e-07, eta: 1 day, 0:56:37, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.2001, decode.acc_seg: 74.5229, aux.loss_ce: 0.1031, aux.acc_seg: 73.2108, loss: 0.3032 +2022-03-14 13:38:31,820 - mmseg - INFO - Iter [57800/160000] lr: 9.171e-07, eta: 1 day, 0:55:52, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1918, decode.acc_seg: 75.0954, aux.loss_ce: 0.1011, aux.acc_seg: 73.7824, loss: 0.2928 +2022-03-14 13:39:15,199 - mmseg - INFO - Iter [57850/160000] lr: 9.167e-07, eta: 1 day, 0:55:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1995, decode.acc_seg: 75.8590, aux.loss_ce: 0.1026, aux.acc_seg: 74.5345, loss: 0.3021 +2022-03-14 13:39:58,421 - mmseg - INFO - Iter [57900/160000] lr: 9.162e-07, eta: 1 day, 0:54:22, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1983, decode.acc_seg: 74.3916, aux.loss_ce: 0.1046, aux.acc_seg: 72.9799, loss: 0.3029 +2022-03-14 13:40:41,670 - mmseg - INFO - Iter [57950/160000] lr: 9.158e-07, eta: 1 day, 0:53:37, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1938, decode.acc_seg: 74.1786, aux.loss_ce: 0.0983, aux.acc_seg: 73.0026, loss: 0.2921 +2022-03-14 13:41:25,109 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 13:41:25,111 - mmseg - INFO - Iter [58000/160000] lr: 9.153e-07, eta: 1 day, 0:52:52, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1971, decode.acc_seg: 74.6062, aux.loss_ce: 0.1020, aux.acc_seg: 73.1418, loss: 0.2990 +2022-03-14 13:42:08,443 - mmseg - INFO - Iter [58050/160000] lr: 9.149e-07, eta: 1 day, 0:52:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1865, decode.acc_seg: 74.7626, aux.loss_ce: 0.0974, aux.acc_seg: 73.4206, loss: 0.2839 +2022-03-14 13:42:54,070 - mmseg - INFO - Iter [58100/160000] lr: 9.144e-07, eta: 1 day, 0:51:26, time: 0.913, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1865, decode.acc_seg: 73.5968, aux.loss_ce: 0.0984, aux.acc_seg: 72.2333, loss: 0.2849 +2022-03-14 13:43:37,366 - mmseg - INFO - Iter [58150/160000] lr: 9.140e-07, eta: 1 day, 0:50:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1780, decode.acc_seg: 74.2639, aux.loss_ce: 0.0930, aux.acc_seg: 73.0940, loss: 0.2709 +2022-03-14 13:44:20,585 - mmseg - INFO - Iter [58200/160000] lr: 9.135e-07, eta: 1 day, 0:49:56, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1854, decode.acc_seg: 74.6682, aux.loss_ce: 0.0977, aux.acc_seg: 73.2017, loss: 0.2831 +2022-03-14 13:45:04,027 - mmseg - INFO - Iter [58250/160000] lr: 9.131e-07, eta: 1 day, 0:49:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1863, decode.acc_seg: 75.0234, aux.loss_ce: 0.0972, aux.acc_seg: 73.6876, loss: 0.2835 +2022-03-14 13:45:47,356 - mmseg - INFO - Iter [58300/160000] lr: 9.126e-07, eta: 1 day, 0:48:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1796, decode.acc_seg: 73.1562, aux.loss_ce: 0.0946, aux.acc_seg: 71.8579, loss: 0.2742 +2022-03-14 13:46:30,806 - mmseg - INFO - Iter [58350/160000] lr: 9.122e-07, eta: 1 day, 0:47:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2070, decode.acc_seg: 74.6190, aux.loss_ce: 0.1044, aux.acc_seg: 73.3957, loss: 0.3113 +2022-03-14 13:47:14,144 - mmseg - INFO - Iter [58400/160000] lr: 9.117e-07, eta: 1 day, 0:46:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1783, decode.acc_seg: 74.2753, aux.loss_ce: 0.0934, aux.acc_seg: 72.9733, loss: 0.2717 +2022-03-14 13:47:57,403 - mmseg - INFO - Iter [58450/160000] lr: 9.113e-07, eta: 1 day, 0:46:12, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1908, decode.acc_seg: 74.9248, aux.loss_ce: 0.0988, aux.acc_seg: 73.5774, loss: 0.2895 +2022-03-14 13:48:40,955 - mmseg - INFO - Iter [58500/160000] lr: 9.108e-07, eta: 1 day, 0:45:28, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1862, decode.acc_seg: 75.1641, aux.loss_ce: 0.0969, aux.acc_seg: 73.7822, loss: 0.2831 +2022-03-14 13:49:24,370 - mmseg - INFO - Iter [58550/160000] lr: 9.104e-07, eta: 1 day, 0:44:43, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1925, decode.acc_seg: 75.2486, aux.loss_ce: 0.1010, aux.acc_seg: 73.7475, loss: 0.2934 +2022-03-14 13:50:07,839 - mmseg - INFO - Iter [58600/160000] lr: 9.099e-07, eta: 1 day, 0:43:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1994, decode.acc_seg: 75.0739, aux.loss_ce: 0.1002, aux.acc_seg: 73.8038, loss: 0.2995 +2022-03-14 13:50:51,475 - mmseg - INFO - Iter [58650/160000] lr: 9.095e-07, eta: 1 day, 0:43:14, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1909, decode.acc_seg: 73.7526, aux.loss_ce: 0.0981, aux.acc_seg: 72.4639, loss: 0.2890 +2022-03-14 13:51:34,755 - mmseg - INFO - Iter [58700/160000] lr: 9.090e-07, eta: 1 day, 0:42:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1812, decode.acc_seg: 74.8996, aux.loss_ce: 0.0937, aux.acc_seg: 73.8140, loss: 0.2748 +2022-03-14 13:52:18,126 - mmseg - INFO - Iter [58750/160000] lr: 9.086e-07, eta: 1 day, 0:41:44, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1831, decode.acc_seg: 74.2506, aux.loss_ce: 0.0956, aux.acc_seg: 72.9480, loss: 0.2787 +2022-03-14 13:53:01,373 - mmseg - INFO - Iter [58800/160000] lr: 9.081e-07, eta: 1 day, 0:40:59, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1893, decode.acc_seg: 73.9642, aux.loss_ce: 0.0984, aux.acc_seg: 72.6603, loss: 0.2877 +2022-03-14 13:53:44,819 - mmseg - INFO - Iter [58850/160000] lr: 9.077e-07, eta: 1 day, 0:40:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1969, decode.acc_seg: 74.7453, aux.loss_ce: 0.1018, aux.acc_seg: 73.3780, loss: 0.2987 +2022-03-14 13:54:28,246 - mmseg - INFO - Iter [58900/160000] lr: 9.073e-07, eta: 1 day, 0:39:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1990, decode.acc_seg: 76.1987, aux.loss_ce: 0.1009, aux.acc_seg: 74.9998, loss: 0.2999 +2022-03-14 13:55:11,547 - mmseg - INFO - Iter [58950/160000] lr: 9.068e-07, eta: 1 day, 0:38:45, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1931, decode.acc_seg: 74.8938, aux.loss_ce: 0.1016, aux.acc_seg: 73.4758, loss: 0.2947 +2022-03-14 13:55:54,696 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 13:55:54,703 - mmseg - INFO - Iter [59000/160000] lr: 9.064e-07, eta: 1 day, 0:37:59, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1917, decode.acc_seg: 75.8071, aux.loss_ce: 0.0993, aux.acc_seg: 74.4400, loss: 0.2910 +2022-03-14 13:56:38,054 - mmseg - INFO - Iter [59050/160000] lr: 9.059e-07, eta: 1 day, 0:37:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1891, decode.acc_seg: 74.6652, aux.loss_ce: 0.0968, aux.acc_seg: 73.3738, loss: 0.2860 +2022-03-14 13:57:21,287 - mmseg - INFO - Iter [59100/160000] lr: 9.055e-07, eta: 1 day, 0:36:30, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1975, decode.acc_seg: 73.8214, aux.loss_ce: 0.1031, aux.acc_seg: 72.5663, loss: 0.3006 +2022-03-14 13:58:04,632 - mmseg - INFO - Iter [59150/160000] lr: 9.050e-07, eta: 1 day, 0:35:45, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2126, decode.acc_seg: 73.5869, aux.loss_ce: 0.1095, aux.acc_seg: 72.3058, loss: 0.3222 +2022-03-14 13:58:48,219 - mmseg - INFO - Iter [59200/160000] lr: 9.046e-07, eta: 1 day, 0:35:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1904, decode.acc_seg: 75.5306, aux.loss_ce: 0.0981, aux.acc_seg: 74.2923, loss: 0.2885 +2022-03-14 13:59:31,703 - mmseg - INFO - Iter [59250/160000] lr: 9.041e-07, eta: 1 day, 0:34:16, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1990, decode.acc_seg: 73.7778, aux.loss_ce: 0.1044, aux.acc_seg: 72.2466, loss: 0.3034 +2022-03-14 14:00:15,277 - mmseg - INFO - Iter [59300/160000] lr: 9.037e-07, eta: 1 day, 0:33:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2144, decode.acc_seg: 73.9513, aux.loss_ce: 0.1119, aux.acc_seg: 72.5361, loss: 0.3263 +2022-03-14 14:00:58,563 - mmseg - INFO - Iter [59350/160000] lr: 9.032e-07, eta: 1 day, 0:32:46, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1798, decode.acc_seg: 73.5014, aux.loss_ce: 0.0947, aux.acc_seg: 72.0783, loss: 0.2745 +2022-03-14 14:01:44,317 - mmseg - INFO - Iter [59400/160000] lr: 9.028e-07, eta: 1 day, 0:32:05, time: 0.915, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1866, decode.acc_seg: 75.7531, aux.loss_ce: 0.0979, aux.acc_seg: 74.3012, loss: 0.2844 +2022-03-14 14:02:27,808 - mmseg - INFO - Iter [59450/160000] lr: 9.023e-07, eta: 1 day, 0:31:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1742, decode.acc_seg: 74.8099, aux.loss_ce: 0.0913, aux.acc_seg: 73.5133, loss: 0.2655 +2022-03-14 14:03:11,296 - mmseg - INFO - Iter [59500/160000] lr: 9.019e-07, eta: 1 day, 0:30:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1771, decode.acc_seg: 75.6482, aux.loss_ce: 0.0931, aux.acc_seg: 74.2608, loss: 0.2702 +2022-03-14 14:03:54,515 - mmseg - INFO - Iter [59550/160000] lr: 9.014e-07, eta: 1 day, 0:29:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1898, decode.acc_seg: 73.8542, aux.loss_ce: 0.0976, aux.acc_seg: 72.5105, loss: 0.2874 +2022-03-14 14:04:37,833 - mmseg - INFO - Iter [59600/160000] lr: 9.010e-07, eta: 1 day, 0:29:06, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1871, decode.acc_seg: 74.4046, aux.loss_ce: 0.0984, aux.acc_seg: 73.0766, loss: 0.2854 +2022-03-14 14:05:21,190 - mmseg - INFO - Iter [59650/160000] lr: 9.005e-07, eta: 1 day, 0:28:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1856, decode.acc_seg: 75.2908, aux.loss_ce: 0.0982, aux.acc_seg: 73.8181, loss: 0.2839 +2022-03-14 14:06:04,484 - mmseg - INFO - Iter [59700/160000] lr: 9.001e-07, eta: 1 day, 0:27:37, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1845, decode.acc_seg: 74.7914, aux.loss_ce: 0.0954, aux.acc_seg: 73.5275, loss: 0.2799 +2022-03-14 14:06:47,625 - mmseg - INFO - Iter [59750/160000] lr: 8.996e-07, eta: 1 day, 0:26:51, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1871, decode.acc_seg: 75.0682, aux.loss_ce: 0.0963, aux.acc_seg: 73.9219, loss: 0.2834 +2022-03-14 14:07:31,379 - mmseg - INFO - Iter [59800/160000] lr: 8.992e-07, eta: 1 day, 0:26:07, time: 0.875, data_time: 0.004, memory: 73034, decode.loss_ce: 0.1859, decode.acc_seg: 73.7720, aux.loss_ce: 0.0975, aux.acc_seg: 72.4702, loss: 0.2834 +2022-03-14 14:08:14,870 - mmseg - INFO - Iter [59850/160000] lr: 8.987e-07, eta: 1 day, 0:25:23, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1935, decode.acc_seg: 74.2647, aux.loss_ce: 0.0998, aux.acc_seg: 73.1716, loss: 0.2933 +2022-03-14 14:08:58,418 - mmseg - INFO - Iter [59900/160000] lr: 8.983e-07, eta: 1 day, 0:24:38, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1874, decode.acc_seg: 73.5991, aux.loss_ce: 0.0970, aux.acc_seg: 72.3288, loss: 0.2843 +2022-03-14 14:09:42,037 - mmseg - INFO - Iter [59950/160000] lr: 8.978e-07, eta: 1 day, 0:23:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1868, decode.acc_seg: 73.1004, aux.loss_ce: 0.0970, aux.acc_seg: 71.8104, loss: 0.2838 +2022-03-14 14:10:25,433 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 14:10:25,441 - mmseg - INFO - Iter [60000/160000] lr: 8.974e-07, eta: 1 day, 0:23:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1935, decode.acc_seg: 75.0282, aux.loss_ce: 0.1037, aux.acc_seg: 73.7026, loss: 0.2972 +2022-03-14 14:11:08,644 - mmseg - INFO - Iter [60050/160000] lr: 8.969e-07, eta: 1 day, 0:22:24, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1928, decode.acc_seg: 74.7183, aux.loss_ce: 0.1003, aux.acc_seg: 73.3660, loss: 0.2931 +2022-03-14 14:11:51,989 - mmseg - INFO - Iter [60100/160000] lr: 8.965e-07, eta: 1 day, 0:21:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1804, decode.acc_seg: 74.1334, aux.loss_ce: 0.0936, aux.acc_seg: 72.9099, loss: 0.2740 +2022-03-14 14:12:35,420 - mmseg - INFO - Iter [60150/160000] lr: 8.960e-07, eta: 1 day, 0:20:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1783, decode.acc_seg: 72.8430, aux.loss_ce: 0.0944, aux.acc_seg: 71.3804, loss: 0.2727 +2022-03-14 14:13:18,744 - mmseg - INFO - Iter [60200/160000] lr: 8.956e-07, eta: 1 day, 0:20:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1749, decode.acc_seg: 74.4457, aux.loss_ce: 0.0930, aux.acc_seg: 73.1382, loss: 0.2679 +2022-03-14 14:14:02,286 - mmseg - INFO - Iter [60250/160000] lr: 8.951e-07, eta: 1 day, 0:19:25, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1817, decode.acc_seg: 73.4248, aux.loss_ce: 0.0936, aux.acc_seg: 72.3704, loss: 0.2753 +2022-03-14 14:14:45,725 - mmseg - INFO - Iter [60300/160000] lr: 8.947e-07, eta: 1 day, 0:18:41, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1759, decode.acc_seg: 74.2136, aux.loss_ce: 0.0917, aux.acc_seg: 72.9088, loss: 0.2676 +2022-03-14 14:15:28,909 - mmseg - INFO - Iter [60350/160000] lr: 8.942e-07, eta: 1 day, 0:17:56, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1838, decode.acc_seg: 76.0777, aux.loss_ce: 0.0972, aux.acc_seg: 74.7469, loss: 0.2811 +2022-03-14 14:16:12,479 - mmseg - INFO - Iter [60400/160000] lr: 8.938e-07, eta: 1 day, 0:17:11, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1853, decode.acc_seg: 74.5596, aux.loss_ce: 0.0979, aux.acc_seg: 73.1857, loss: 0.2832 +2022-03-14 14:16:55,868 - mmseg - INFO - Iter [60450/160000] lr: 8.933e-07, eta: 1 day, 0:16:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2040, decode.acc_seg: 74.6387, aux.loss_ce: 0.1057, aux.acc_seg: 73.3185, loss: 0.3096 +2022-03-14 14:17:39,219 - mmseg - INFO - Iter [60500/160000] lr: 8.929e-07, eta: 1 day, 0:15:42, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1884, decode.acc_seg: 76.1010, aux.loss_ce: 0.0993, aux.acc_seg: 74.8043, loss: 0.2877 +2022-03-14 14:18:22,543 - mmseg - INFO - Iter [60550/160000] lr: 8.924e-07, eta: 1 day, 0:14:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.2061, decode.acc_seg: 74.4709, aux.loss_ce: 0.1061, aux.acc_seg: 73.0606, loss: 0.3123 +2022-03-14 14:19:05,968 - mmseg - INFO - Iter [60600/160000] lr: 8.920e-07, eta: 1 day, 0:14:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1927, decode.acc_seg: 74.5922, aux.loss_ce: 0.0989, aux.acc_seg: 73.3111, loss: 0.2916 +2022-03-14 14:19:51,643 - mmseg - INFO - Iter [60650/160000] lr: 8.915e-07, eta: 1 day, 0:13:31, time: 0.913, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1792, decode.acc_seg: 74.0289, aux.loss_ce: 0.0932, aux.acc_seg: 72.6764, loss: 0.2724 +2022-03-14 14:20:35,000 - mmseg - INFO - Iter [60700/160000] lr: 8.911e-07, eta: 1 day, 0:12:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1743, decode.acc_seg: 74.1625, aux.loss_ce: 0.0926, aux.acc_seg: 72.8592, loss: 0.2670 +2022-03-14 14:21:18,531 - mmseg - INFO - Iter [60750/160000] lr: 8.907e-07, eta: 1 day, 0:12:02, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1773, decode.acc_seg: 75.4200, aux.loss_ce: 0.0928, aux.acc_seg: 74.0520, loss: 0.2702 +2022-03-14 14:22:01,776 - mmseg - INFO - Iter [60800/160000] lr: 8.902e-07, eta: 1 day, 0:11:17, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1794, decode.acc_seg: 74.0634, aux.loss_ce: 0.0959, aux.acc_seg: 72.7158, loss: 0.2752 +2022-03-14 14:22:45,221 - mmseg - INFO - Iter [60850/160000] lr: 8.898e-07, eta: 1 day, 0:10:32, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1855, decode.acc_seg: 73.5334, aux.loss_ce: 0.0974, aux.acc_seg: 72.0112, loss: 0.2829 +2022-03-14 14:23:28,436 - mmseg - INFO - Iter [60900/160000] lr: 8.893e-07, eta: 1 day, 0:09:48, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1734, decode.acc_seg: 74.7261, aux.loss_ce: 0.0921, aux.acc_seg: 73.3949, loss: 0.2656 +2022-03-14 14:24:11,775 - mmseg - INFO - Iter [60950/160000] lr: 8.889e-07, eta: 1 day, 0:09:03, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1777, decode.acc_seg: 74.5262, aux.loss_ce: 0.0929, aux.acc_seg: 73.2655, loss: 0.2706 +2022-03-14 14:24:55,099 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 14:24:55,103 - mmseg - INFO - Iter [61000/160000] lr: 8.884e-07, eta: 1 day, 0:08:18, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1788, decode.acc_seg: 73.6990, aux.loss_ce: 0.0931, aux.acc_seg: 72.4568, loss: 0.2720 +2022-03-14 14:25:38,487 - mmseg - INFO - Iter [61050/160000] lr: 8.880e-07, eta: 1 day, 0:07:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1788, decode.acc_seg: 74.7522, aux.loss_ce: 0.0927, aux.acc_seg: 73.5385, loss: 0.2714 +2022-03-14 14:26:21,950 - mmseg - INFO - Iter [61100/160000] lr: 8.875e-07, eta: 1 day, 0:06:49, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1820, decode.acc_seg: 76.3265, aux.loss_ce: 0.0954, aux.acc_seg: 75.0760, loss: 0.2774 +2022-03-14 14:27:05,241 - mmseg - INFO - Iter [61150/160000] lr: 8.871e-07, eta: 1 day, 0:06:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1747, decode.acc_seg: 74.2334, aux.loss_ce: 0.0938, aux.acc_seg: 72.7436, loss: 0.2685 +2022-03-14 14:27:48,531 - mmseg - INFO - Iter [61200/160000] lr: 8.866e-07, eta: 1 day, 0:05:19, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1883, decode.acc_seg: 74.5476, aux.loss_ce: 0.0981, aux.acc_seg: 73.2201, loss: 0.2864 +2022-03-14 14:28:31,921 - mmseg - INFO - Iter [61250/160000] lr: 8.862e-07, eta: 1 day, 0:04:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1739, decode.acc_seg: 75.6251, aux.loss_ce: 0.0916, aux.acc_seg: 74.2801, loss: 0.2654 +2022-03-14 14:29:15,319 - mmseg - INFO - Iter [61300/160000] lr: 8.857e-07, eta: 1 day, 0:03:50, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1746, decode.acc_seg: 75.1303, aux.loss_ce: 0.0936, aux.acc_seg: 73.7316, loss: 0.2681 +2022-03-14 14:29:58,553 - mmseg - INFO - Iter [61350/160000] lr: 8.853e-07, eta: 1 day, 0:03:05, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1899, decode.acc_seg: 74.2683, aux.loss_ce: 0.1000, aux.acc_seg: 72.8986, loss: 0.2899 +2022-03-14 14:30:42,128 - mmseg - INFO - Iter [61400/160000] lr: 8.848e-07, eta: 1 day, 0:02:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1877, decode.acc_seg: 75.5904, aux.loss_ce: 0.0988, aux.acc_seg: 74.2293, loss: 0.2866 +2022-03-14 14:31:25,720 - mmseg - INFO - Iter [61450/160000] lr: 8.844e-07, eta: 1 day, 0:01:36, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1865, decode.acc_seg: 73.9219, aux.loss_ce: 0.0983, aux.acc_seg: 72.5695, loss: 0.2848 +2022-03-14 14:32:09,358 - mmseg - INFO - Iter [61500/160000] lr: 8.839e-07, eta: 1 day, 0:00:52, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1813, decode.acc_seg: 74.2007, aux.loss_ce: 0.0954, aux.acc_seg: 72.7563, loss: 0.2767 +2022-03-14 14:32:52,828 - mmseg - INFO - Iter [61550/160000] lr: 8.835e-07, eta: 1 day, 0:00:07, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1808, decode.acc_seg: 74.7357, aux.loss_ce: 0.0945, aux.acc_seg: 73.5355, loss: 0.2753 +2022-03-14 14:33:36,236 - mmseg - INFO - Iter [61600/160000] lr: 8.830e-07, eta: 23:59:22, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1961, decode.acc_seg: 74.5452, aux.loss_ce: 0.0998, aux.acc_seg: 73.1969, loss: 0.2959 +2022-03-14 14:34:19,718 - mmseg - INFO - Iter [61650/160000] lr: 8.826e-07, eta: 23:58:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1850, decode.acc_seg: 74.3072, aux.loss_ce: 0.0979, aux.acc_seg: 72.8404, loss: 0.2828 +2022-03-14 14:35:03,196 - mmseg - INFO - Iter [61700/160000] lr: 8.821e-07, eta: 23:57:53, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1807, decode.acc_seg: 74.7123, aux.loss_ce: 0.0943, aux.acc_seg: 73.4085, loss: 0.2750 +2022-03-14 14:35:46,530 - mmseg - INFO - Iter [61750/160000] lr: 8.817e-07, eta: 23:57:09, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1862, decode.acc_seg: 74.5733, aux.loss_ce: 0.0999, aux.acc_seg: 72.9882, loss: 0.2861 +2022-03-14 14:36:29,860 - mmseg - INFO - Iter [61800/160000] lr: 8.812e-07, eta: 23:56:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1853, decode.acc_seg: 74.8775, aux.loss_ce: 0.0963, aux.acc_seg: 73.5706, loss: 0.2817 +2022-03-14 14:37:13,191 - mmseg - INFO - Iter [61850/160000] lr: 8.808e-07, eta: 23:55:39, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1883, decode.acc_seg: 74.0267, aux.loss_ce: 0.0974, aux.acc_seg: 72.7900, loss: 0.2858 +2022-03-14 14:37:59,128 - mmseg - INFO - Iter [61900/160000] lr: 8.803e-07, eta: 23:54:58, time: 0.920, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1818, decode.acc_seg: 74.5045, aux.loss_ce: 0.0938, aux.acc_seg: 73.2502, loss: 0.2756 +2022-03-14 14:38:42,345 - mmseg - INFO - Iter [61950/160000] lr: 8.799e-07, eta: 23:54:14, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1936, decode.acc_seg: 73.9683, aux.loss_ce: 0.0998, aux.acc_seg: 72.7275, loss: 0.2934 +2022-03-14 14:39:25,926 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 14:39:25,930 - mmseg - INFO - Iter [62000/160000] lr: 8.794e-07, eta: 23:53:29, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1853, decode.acc_seg: 74.0850, aux.loss_ce: 0.0975, aux.acc_seg: 72.6642, loss: 0.2829 +2022-03-14 14:40:09,314 - mmseg - INFO - Iter [62050/160000] lr: 8.790e-07, eta: 23:52:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1757, decode.acc_seg: 74.7848, aux.loss_ce: 0.0940, aux.acc_seg: 73.4066, loss: 0.2697 +2022-03-14 14:40:52,623 - mmseg - INFO - Iter [62100/160000] lr: 8.785e-07, eta: 23:52:00, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1829, decode.acc_seg: 75.5266, aux.loss_ce: 0.0956, aux.acc_seg: 74.2290, loss: 0.2785 +2022-03-14 14:41:36,117 - mmseg - INFO - Iter [62150/160000] lr: 8.781e-07, eta: 23:51:15, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1763, decode.acc_seg: 74.1832, aux.loss_ce: 0.0913, aux.acc_seg: 73.1206, loss: 0.2676 +2022-03-14 14:42:19,572 - mmseg - INFO - Iter [62200/160000] lr: 8.776e-07, eta: 23:50:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1858, decode.acc_seg: 75.6402, aux.loss_ce: 0.0975, aux.acc_seg: 74.2618, loss: 0.2833 +2022-03-14 14:43:03,041 - mmseg - INFO - Iter [62250/160000] lr: 8.772e-07, eta: 23:49:46, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1891, decode.acc_seg: 73.1442, aux.loss_ce: 0.0978, aux.acc_seg: 71.9352, loss: 0.2869 +2022-03-14 14:43:46,439 - mmseg - INFO - Iter [62300/160000] lr: 8.767e-07, eta: 23:49:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1692, decode.acc_seg: 74.6598, aux.loss_ce: 0.0888, aux.acc_seg: 73.4387, loss: 0.2579 +2022-03-14 14:44:29,712 - mmseg - INFO - Iter [62350/160000] lr: 8.763e-07, eta: 23:48:17, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1936, decode.acc_seg: 75.0405, aux.loss_ce: 0.1016, aux.acc_seg: 73.6261, loss: 0.2952 +2022-03-14 14:45:13,186 - mmseg - INFO - Iter [62400/160000] lr: 8.758e-07, eta: 23:47:32, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1862, decode.acc_seg: 76.3691, aux.loss_ce: 0.0963, aux.acc_seg: 75.1270, loss: 0.2824 +2022-03-14 14:45:56,588 - mmseg - INFO - Iter [62450/160000] lr: 8.754e-07, eta: 23:46:48, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1842, decode.acc_seg: 74.1369, aux.loss_ce: 0.0960, aux.acc_seg: 72.8693, loss: 0.2802 +2022-03-14 14:46:39,970 - mmseg - INFO - Iter [62500/160000] lr: 8.749e-07, eta: 23:46:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1782, decode.acc_seg: 73.6822, aux.loss_ce: 0.0922, aux.acc_seg: 72.5606, loss: 0.2705 +2022-03-14 14:47:23,324 - mmseg - INFO - Iter [62550/160000] lr: 8.745e-07, eta: 23:45:18, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1825, decode.acc_seg: 74.8923, aux.loss_ce: 0.0951, aux.acc_seg: 73.5694, loss: 0.2776 +2022-03-14 14:48:06,767 - mmseg - INFO - Iter [62600/160000] lr: 8.740e-07, eta: 23:44:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1822, decode.acc_seg: 73.2265, aux.loss_ce: 0.0940, aux.acc_seg: 72.0365, loss: 0.2762 +2022-03-14 14:48:50,181 - mmseg - INFO - Iter [62650/160000] lr: 8.736e-07, eta: 23:43:49, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1924, decode.acc_seg: 74.6332, aux.loss_ce: 0.0973, aux.acc_seg: 73.4811, loss: 0.2897 +2022-03-14 14:49:33,712 - mmseg - INFO - Iter [62700/160000] lr: 8.732e-07, eta: 23:43:05, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1877, decode.acc_seg: 75.3095, aux.loss_ce: 0.0967, aux.acc_seg: 74.1361, loss: 0.2844 +2022-03-14 14:50:17,261 - mmseg - INFO - Iter [62750/160000] lr: 8.727e-07, eta: 23:42:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1908, decode.acc_seg: 74.1671, aux.loss_ce: 0.0973, aux.acc_seg: 72.9589, loss: 0.2881 +2022-03-14 14:51:00,614 - mmseg - INFO - Iter [62800/160000] lr: 8.723e-07, eta: 23:41:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1873, decode.acc_seg: 74.0336, aux.loss_ce: 0.0975, aux.acc_seg: 72.7437, loss: 0.2849 +2022-03-14 14:51:43,966 - mmseg - INFO - Iter [62850/160000] lr: 8.718e-07, eta: 23:40:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1842, decode.acc_seg: 74.2072, aux.loss_ce: 0.0981, aux.acc_seg: 72.7699, loss: 0.2823 +2022-03-14 14:52:27,194 - mmseg - INFO - Iter [62900/160000] lr: 8.714e-07, eta: 23:40:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1880, decode.acc_seg: 74.3770, aux.loss_ce: 0.0988, aux.acc_seg: 72.9931, loss: 0.2868 +2022-03-14 14:53:10,531 - mmseg - INFO - Iter [62950/160000] lr: 8.709e-07, eta: 23:39:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1845, decode.acc_seg: 74.5812, aux.loss_ce: 0.0963, aux.acc_seg: 73.2908, loss: 0.2808 +2022-03-14 14:53:53,990 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 14:53:53,992 - mmseg - INFO - Iter [63000/160000] lr: 8.705e-07, eta: 23:38:37, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1821, decode.acc_seg: 74.2976, aux.loss_ce: 0.0949, aux.acc_seg: 73.0332, loss: 0.2771 +2022-03-14 14:54:37,288 - mmseg - INFO - Iter [63050/160000] lr: 8.700e-07, eta: 23:37:52, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1842, decode.acc_seg: 76.3751, aux.loss_ce: 0.0952, aux.acc_seg: 75.3031, loss: 0.2794 +2022-03-14 14:55:20,520 - mmseg - INFO - Iter [63100/160000] lr: 8.696e-07, eta: 23:37:07, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1820, decode.acc_seg: 75.7442, aux.loss_ce: 0.0958, aux.acc_seg: 74.2984, loss: 0.2778 +2022-03-14 14:56:03,796 - mmseg - INFO - Iter [63150/160000] lr: 8.691e-07, eta: 23:36:22, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1750, decode.acc_seg: 74.9490, aux.loss_ce: 0.0926, aux.acc_seg: 73.6187, loss: 0.2676 +2022-03-14 14:56:49,412 - mmseg - INFO - Iter [63200/160000] lr: 8.687e-07, eta: 23:35:41, time: 0.914, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1668, decode.acc_seg: 74.9194, aux.loss_ce: 0.0895, aux.acc_seg: 73.5950, loss: 0.2563 +2022-03-14 14:57:32,694 - mmseg - INFO - Iter [63250/160000] lr: 8.682e-07, eta: 23:34:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1786, decode.acc_seg: 75.3813, aux.loss_ce: 0.0927, aux.acc_seg: 74.2184, loss: 0.2714 +2022-03-14 14:58:16,017 - mmseg - INFO - Iter [63300/160000] lr: 8.678e-07, eta: 23:34:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1814, decode.acc_seg: 75.8631, aux.loss_ce: 0.0945, aux.acc_seg: 74.6353, loss: 0.2759 +2022-03-14 14:58:59,380 - mmseg - INFO - Iter [63350/160000] lr: 8.673e-07, eta: 23:33:27, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1696, decode.acc_seg: 73.2634, aux.loss_ce: 0.0892, aux.acc_seg: 72.0291, loss: 0.2588 +2022-03-14 14:59:42,633 - mmseg - INFO - Iter [63400/160000] lr: 8.669e-07, eta: 23:32:42, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1859, decode.acc_seg: 75.4392, aux.loss_ce: 0.0983, aux.acc_seg: 74.1742, loss: 0.2842 +2022-03-14 15:00:26,101 - mmseg - INFO - Iter [63450/160000] lr: 8.664e-07, eta: 23:31:58, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1782, decode.acc_seg: 75.1221, aux.loss_ce: 0.0944, aux.acc_seg: 73.7430, loss: 0.2726 +2022-03-14 15:01:09,583 - mmseg - INFO - Iter [63500/160000] lr: 8.660e-07, eta: 23:31:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1775, decode.acc_seg: 74.0903, aux.loss_ce: 0.0929, aux.acc_seg: 72.7604, loss: 0.2703 +2022-03-14 15:01:53,183 - mmseg - INFO - Iter [63550/160000] lr: 8.655e-07, eta: 23:30:29, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1749, decode.acc_seg: 75.2821, aux.loss_ce: 0.0930, aux.acc_seg: 73.9343, loss: 0.2679 +2022-03-14 15:02:36,420 - mmseg - INFO - Iter [63600/160000] lr: 8.651e-07, eta: 23:29:44, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1686, decode.acc_seg: 75.3602, aux.loss_ce: 0.0883, aux.acc_seg: 74.0793, loss: 0.2570 +2022-03-14 15:03:19,816 - mmseg - INFO - Iter [63650/160000] lr: 8.646e-07, eta: 23:28:59, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1860, decode.acc_seg: 73.4822, aux.loss_ce: 0.0994, aux.acc_seg: 72.0644, loss: 0.2854 +2022-03-14 15:04:03,122 - mmseg - INFO - Iter [63700/160000] lr: 8.642e-07, eta: 23:28:15, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1817, decode.acc_seg: 73.6289, aux.loss_ce: 0.0962, aux.acc_seg: 72.1326, loss: 0.2779 +2022-03-14 15:04:46,854 - mmseg - INFO - Iter [63750/160000] lr: 8.637e-07, eta: 23:27:31, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1832, decode.acc_seg: 76.6935, aux.loss_ce: 0.0936, aux.acc_seg: 75.4463, loss: 0.2768 +2022-03-14 15:05:30,000 - mmseg - INFO - Iter [63800/160000] lr: 8.633e-07, eta: 23:26:46, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1848, decode.acc_seg: 76.3143, aux.loss_ce: 0.0962, aux.acc_seg: 75.0014, loss: 0.2809 +2022-03-14 15:06:14,002 - mmseg - INFO - Iter [63850/160000] lr: 8.628e-07, eta: 23:26:02, time: 0.880, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1791, decode.acc_seg: 74.4433, aux.loss_ce: 0.0929, aux.acc_seg: 73.1915, loss: 0.2720 +2022-03-14 15:06:57,280 - mmseg - INFO - Iter [63900/160000] lr: 8.624e-07, eta: 23:25:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1870, decode.acc_seg: 73.5488, aux.loss_ce: 0.0974, aux.acc_seg: 72.2037, loss: 0.2843 +2022-03-14 15:07:40,772 - mmseg - INFO - Iter [63950/160000] lr: 8.619e-07, eta: 23:24:33, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1841, decode.acc_seg: 75.1454, aux.loss_ce: 0.0963, aux.acc_seg: 73.7917, loss: 0.2803 +2022-03-14 15:08:24,359 - mmseg - INFO - Saving checkpoint at 64000 iterations +2022-03-14 15:08:35,753 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 15:08:35,756 - mmseg - INFO - Iter [64000/160000] lr: 8.615e-07, eta: 23:24:06, time: 1.099, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1751, decode.acc_seg: 73.8357, aux.loss_ce: 0.0939, aux.acc_seg: 72.3617, loss: 0.2690 +2022-03-14 15:09:58,402 - mmseg - INFO - per class results: +2022-03-14 15:09:58,417 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.39 | 89.73 | +| building | 84.36 | 93.37 | +| sky | 94.8 | 97.19 | +| floor | 84.07 | 91.4 | +| tree | 76.27 | 87.0 | +| ceiling | 86.37 | 93.54 | +| road | 84.98 | 90.88 | +| bed | 92.25 | 97.48 | +| windowpane | 64.61 | 77.75 | +| grass | 69.44 | 85.65 | +| cabinet | 64.14 | 74.99 | +| sidewalk | 70.69 | 84.82 | +| person | 84.62 | 94.06 | +| earth | 39.16 | 49.64 | +| door | 58.69 | 74.94 | +| table | 68.56 | 81.89 | +| mountain | 61.64 | 73.77 | +| plant | 56.08 | 70.77 | +| curtain | 77.93 | 90.28 | +| chair | 63.69 | 72.92 | +| car | 87.07 | 93.23 | +| water | 65.48 | 80.36 | +| painting | 75.12 | 91.4 | +| sofa | 78.93 | 86.23 | +| shelf | 50.21 | 69.76 | +| house | 47.82 | 62.91 | +| sea | 74.72 | 84.27 | +| mirror | 76.13 | 82.82 | +| rug | 66.2 | 76.69 | +| field | 30.83 | 47.29 | +| armchair | 59.42 | 82.38 | +| seat | 64.26 | 88.09 | +| fence | 45.73 | 63.42 | +| desk | 55.47 | 74.76 | +| rock | 56.58 | 84.13 | +| wardrobe | 52.65 | 75.42 | +| lamp | 71.31 | 81.7 | +| bathtub | 88.12 | 91.63 | +| railing | 40.82 | 56.27 | +| cushion | 66.29 | 77.14 | +| base | 46.14 | 58.41 | +| box | 35.59 | 46.77 | +| column | 52.58 | 68.64 | +| signboard | 40.69 | 52.13 | +| chest of drawers | 43.05 | 62.43 | +| counter | 51.04 | 60.62 | +| sand | 58.0 | 82.14 | +| sink | 77.05 | 84.77 | +| skyscraper | 43.67 | 53.82 | +| fireplace | 81.54 | 92.23 | +| refrigerator | 80.0 | 96.17 | +| grandstand | 52.62 | 86.07 | +| path | 25.1 | 34.41 | +| stairs | 29.8 | 34.26 | +| runway | 69.28 | 91.14 | +| case | 61.22 | 83.39 | +| pool table | 94.62 | 98.31 | +| pillow | 66.1 | 76.19 | +| screen door | 79.34 | 84.1 | +| stairway | 39.58 | 64.38 | +| river | 11.18 | 26.61 | +| bridge | 73.53 | 87.79 | +| bookcase | 48.38 | 61.84 | +| blind | 42.8 | 46.81 | +| coffee table | 65.39 | 87.53 | +| toilet | 89.77 | 94.72 | +| flower | 50.7 | 65.97 | +| book | 48.69 | 71.79 | +| hill | 10.06 | 13.76 | +| bench | 50.78 | 59.46 | +| countertop | 65.42 | 82.53 | +| stove | 82.64 | 88.59 | +| palm | 55.18 | 81.32 | +| kitchen island | 47.82 | 77.25 | +| computer | 80.0 | 90.37 | +| swivel chair | 47.91 | 81.1 | +| boat | 65.94 | 91.24 | +| bar | 67.28 | 82.91 | +| arcade machine | 89.06 | 95.29 | +| hovel | 53.13 | 54.7 | +| bus | 92.39 | 97.42 | +| towel | 73.19 | 82.81 | +| light | 59.45 | 66.65 | +| truck | 45.24 | 59.52 | +| tower | 32.57 | 56.29 | +| chandelier | 71.21 | 87.36 | +| awning | 47.24 | 58.91 | +| streetlight | 34.75 | 47.87 | +| booth | 55.29 | 67.21 | +| television receiver | 76.89 | 81.62 | +| airplane | 69.1 | 76.98 | +| dirt track | 0.0 | 0.0 | +| apparel | 58.84 | 78.11 | +| pole | 28.56 | 39.04 | +| land | 3.68 | 4.63 | +| bannister | 16.36 | 22.39 | +| escalator | 56.45 | 85.93 | +| ottoman | 54.74 | 69.29 | +| bottle | 41.11 | 62.91 | +| buffet | 53.76 | 63.21 | +| poster | 33.84 | 47.07 | +| stage | 18.96 | 37.4 | +| van | 40.95 | 58.37 | +| ship | 75.75 | 93.64 | +| fountain | 40.62 | 41.67 | +| conveyer belt | 76.46 | 94.29 | +| canopy | 49.8 | 70.68 | +| washer | 90.02 | 96.65 | +| plaything | 38.09 | 62.63 | +| swimming pool | 81.36 | 88.23 | +| stool | 54.05 | 74.23 | +| barrel | 64.17 | 85.82 | +| basket | 43.51 | 57.25 | +| waterfall | 52.5 | 60.46 | +| tent | 88.37 | 99.45 | +| bag | 17.73 | 19.47 | +| minibike | 74.42 | 92.17 | +| cradle | 85.86 | 97.93 | +| oven | 54.97 | 70.5 | +| ball | 58.56 | 66.85 | +| food | 53.5 | 65.67 | +| step | 8.2 | 9.06 | +| tank | 60.0 | 67.5 | +| trade name | 28.27 | 32.69 | +| microwave | 83.47 | 94.99 | +| pot | 52.29 | 59.16 | +| animal | 63.61 | 65.1 | +| bicycle | 61.88 | 80.92 | +| lake | 55.72 | 63.83 | +| dishwasher | 67.61 | 80.24 | +| screen | 60.19 | 91.99 | +| blanket | 18.45 | 22.19 | +| sculpture | 81.16 | 85.41 | +| hood | 60.84 | 77.23 | +| sconce | 58.08 | 68.66 | +| vase | 46.76 | 63.34 | +| traffic light | 40.61 | 63.22 | +| tray | 20.97 | 24.46 | +| ashcan | 46.26 | 64.38 | +| fan | 68.71 | 79.95 | +| pier | 43.66 | 47.62 | +| crt screen | 10.79 | 28.02 | +| plate | 61.25 | 78.98 | +| monitor | 13.64 | 15.51 | +| bulletin board | 47.48 | 56.82 | +| shower | 8.1 | 10.54 | +| radiator | 67.34 | 75.3 | +| glass | 22.32 | 23.84 | +| clock | 49.62 | 60.29 | +| flag | 48.33 | 53.01 | ++---------------------+-------+-------+ +2022-03-14 15:09:58,417 - mmseg - INFO - Summary: +2022-03-14 15:09:58,417 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 85.68 | 56.73 | 69.38 | ++-------+-------+-------+ +2022-03-14 15:09:58,425 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 15:09:58,425 - mmseg - INFO - Iter(val) [250] aAcc: 0.8568, mIoU: 0.5673, mAcc: 0.6938, IoU.wall: 0.8139, IoU.building: 0.8436, IoU.sky: 0.9480, IoU.floor: 0.8407, IoU.tree: 0.7627, IoU.ceiling: 0.8637, IoU.road: 0.8498, IoU.bed : 0.9225, IoU.windowpane: 0.6461, IoU.grass: 0.6944, IoU.cabinet: 0.6414, IoU.sidewalk: 0.7069, IoU.person: 0.8462, IoU.earth: 0.3916, IoU.door: 0.5869, IoU.table: 0.6856, IoU.mountain: 0.6164, IoU.plant: 0.5608, IoU.curtain: 0.7793, IoU.chair: 0.6369, IoU.car: 0.8707, IoU.water: 0.6548, IoU.painting: 0.7512, IoU.sofa: 0.7893, IoU.shelf: 0.5021, IoU.house: 0.4782, IoU.sea: 0.7472, IoU.mirror: 0.7613, IoU.rug: 0.6620, IoU.field: 0.3083, IoU.armchair: 0.5942, IoU.seat: 0.6426, IoU.fence: 0.4573, IoU.desk: 0.5547, IoU.rock: 0.5658, IoU.wardrobe: 0.5265, IoU.lamp: 0.7131, IoU.bathtub: 0.8812, IoU.railing: 0.4082, IoU.cushion: 0.6629, IoU.base: 0.4614, IoU.box: 0.3559, IoU.column: 0.5258, IoU.signboard: 0.4069, IoU.chest of drawers: 0.4305, IoU.counter: 0.5104, IoU.sand: 0.5800, IoU.sink: 0.7705, IoU.skyscraper: 0.4367, IoU.fireplace: 0.8154, IoU.refrigerator: 0.8000, IoU.grandstand: 0.5262, IoU.path: 0.2510, IoU.stairs: 0.2980, IoU.runway: 0.6928, IoU.case: 0.6122, IoU.pool table: 0.9462, IoU.pillow: 0.6610, IoU.screen door: 0.7934, IoU.stairway: 0.3958, IoU.river: 0.1118, IoU.bridge: 0.7353, IoU.bookcase: 0.4838, IoU.blind: 0.4280, IoU.coffee table: 0.6539, IoU.toilet: 0.8977, IoU.flower: 0.5070, IoU.book: 0.4869, IoU.hill: 0.1006, IoU.bench: 0.5078, IoU.countertop: 0.6542, IoU.stove: 0.8264, IoU.palm: 0.5518, IoU.kitchen island: 0.4782, IoU.computer: 0.8000, IoU.swivel chair: 0.4791, IoU.boat: 0.6594, IoU.bar: 0.6728, IoU.arcade machine: 0.8906, IoU.hovel: 0.5313, IoU.bus: 0.9239, IoU.towel: 0.7319, IoU.light: 0.5945, IoU.truck: 0.4524, IoU.tower: 0.3257, IoU.chandelier: 0.7121, IoU.awning: 0.4724, IoU.streetlight: 0.3475, IoU.booth: 0.5529, IoU.television receiver: 0.7689, IoU.airplane: 0.6910, IoU.dirt track: 0.0000, IoU.apparel: 0.5884, IoU.pole: 0.2856, IoU.land: 0.0368, IoU.bannister: 0.1636, IoU.escalator: 0.5645, IoU.ottoman: 0.5474, IoU.bottle: 0.4111, IoU.buffet: 0.5376, IoU.poster: 0.3384, IoU.stage: 0.1896, IoU.van: 0.4095, IoU.ship: 0.7575, IoU.fountain: 0.4062, IoU.conveyer belt: 0.7646, IoU.canopy: 0.4980, IoU.washer: 0.9002, IoU.plaything: 0.3809, IoU.swimming pool: 0.8136, IoU.stool: 0.5405, IoU.barrel: 0.6417, IoU.basket: 0.4351, IoU.waterfall: 0.5250, IoU.tent: 0.8837, IoU.bag: 0.1773, IoU.minibike: 0.7442, IoU.cradle: 0.8586, IoU.oven: 0.5497, IoU.ball: 0.5856, IoU.food: 0.5350, IoU.step: 0.0820, IoU.tank: 0.6000, IoU.trade name: 0.2827, IoU.microwave: 0.8347, IoU.pot: 0.5229, IoU.animal: 0.6361, IoU.bicycle: 0.6188, IoU.lake: 0.5572, IoU.dishwasher: 0.6761, IoU.screen: 0.6019, IoU.blanket: 0.1845, IoU.sculpture: 0.8116, IoU.hood: 0.6084, IoU.sconce: 0.5808, IoU.vase: 0.4676, IoU.traffic light: 0.4061, IoU.tray: 0.2097, IoU.ashcan: 0.4626, IoU.fan: 0.6871, IoU.pier: 0.4366, IoU.crt screen: 0.1079, IoU.plate: 0.6125, IoU.monitor: 0.1364, IoU.bulletin board: 0.4748, IoU.shower: 0.0810, IoU.radiator: 0.6734, IoU.glass: 0.2232, IoU.clock: 0.4962, IoU.flag: 0.4833, Acc.wall: 0.8973, Acc.building: 0.9337, Acc.sky: 0.9719, Acc.floor: 0.9140, Acc.tree: 0.8700, Acc.ceiling: 0.9354, Acc.road: 0.9088, Acc.bed : 0.9748, Acc.windowpane: 0.7775, Acc.grass: 0.8565, Acc.cabinet: 0.7499, Acc.sidewalk: 0.8482, Acc.person: 0.9406, Acc.earth: 0.4964, Acc.door: 0.7494, Acc.table: 0.8189, Acc.mountain: 0.7377, Acc.plant: 0.7077, Acc.curtain: 0.9028, Acc.chair: 0.7292, Acc.car: 0.9323, Acc.water: 0.8036, Acc.painting: 0.9140, Acc.sofa: 0.8623, Acc.shelf: 0.6976, Acc.house: 0.6291, Acc.sea: 0.8427, Acc.mirror: 0.8282, Acc.rug: 0.7669, Acc.field: 0.4729, Acc.armchair: 0.8238, Acc.seat: 0.8809, Acc.fence: 0.6342, Acc.desk: 0.7476, Acc.rock: 0.8413, Acc.wardrobe: 0.7542, Acc.lamp: 0.8170, Acc.bathtub: 0.9163, Acc.railing: 0.5627, Acc.cushion: 0.7714, Acc.base: 0.5841, Acc.box: 0.4677, Acc.column: 0.6864, Acc.signboard: 0.5213, Acc.chest of drawers: 0.6243, Acc.counter: 0.6062, Acc.sand: 0.8214, Acc.sink: 0.8477, Acc.skyscraper: 0.5382, Acc.fireplace: 0.9223, Acc.refrigerator: 0.9617, Acc.grandstand: 0.8607, Acc.path: 0.3441, Acc.stairs: 0.3426, Acc.runway: 0.9114, Acc.case: 0.8339, Acc.pool table: 0.9831, Acc.pillow: 0.7619, Acc.screen door: 0.8410, Acc.stairway: 0.6438, Acc.river: 0.2661, Acc.bridge: 0.8779, Acc.bookcase: 0.6184, Acc.blind: 0.4681, Acc.coffee table: 0.8753, Acc.toilet: 0.9472, Acc.flower: 0.6597, Acc.book: 0.7179, Acc.hill: 0.1376, Acc.bench: 0.5946, Acc.countertop: 0.8253, Acc.stove: 0.8859, Acc.palm: 0.8132, Acc.kitchen island: 0.7725, Acc.computer: 0.9037, Acc.swivel chair: 0.8110, Acc.boat: 0.9124, Acc.bar: 0.8291, Acc.arcade machine: 0.9529, Acc.hovel: 0.5470, Acc.bus: 0.9742, Acc.towel: 0.8281, Acc.light: 0.6665, Acc.truck: 0.5952, Acc.tower: 0.5629, Acc.chandelier: 0.8736, Acc.awning: 0.5891, Acc.streetlight: 0.4787, Acc.booth: 0.6721, Acc.television receiver: 0.8162, Acc.airplane: 0.7698, Acc.dirt track: 0.0000, Acc.apparel: 0.7811, Acc.pole: 0.3904, Acc.land: 0.0463, Acc.bannister: 0.2239, Acc.escalator: 0.8593, Acc.ottoman: 0.6929, Acc.bottle: 0.6291, Acc.buffet: 0.6321, Acc.poster: 0.4707, Acc.stage: 0.3740, Acc.van: 0.5837, Acc.ship: 0.9364, Acc.fountain: 0.4167, Acc.conveyer belt: 0.9429, Acc.canopy: 0.7068, Acc.washer: 0.9665, Acc.plaything: 0.6263, Acc.swimming pool: 0.8823, Acc.stool: 0.7423, Acc.barrel: 0.8582, Acc.basket: 0.5725, Acc.waterfall: 0.6046, Acc.tent: 0.9945, Acc.bag: 0.1947, Acc.minibike: 0.9217, Acc.cradle: 0.9793, Acc.oven: 0.7050, Acc.ball: 0.6685, Acc.food: 0.6567, Acc.step: 0.0906, Acc.tank: 0.6750, Acc.trade name: 0.3269, Acc.microwave: 0.9499, Acc.pot: 0.5916, Acc.animal: 0.6510, Acc.bicycle: 0.8092, Acc.lake: 0.6383, Acc.dishwasher: 0.8024, Acc.screen: 0.9199, Acc.blanket: 0.2219, Acc.sculpture: 0.8541, Acc.hood: 0.7723, Acc.sconce: 0.6866, Acc.vase: 0.6334, Acc.traffic light: 0.6322, Acc.tray: 0.2446, Acc.ashcan: 0.6438, Acc.fan: 0.7995, Acc.pier: 0.4762, Acc.crt screen: 0.2802, Acc.plate: 0.7898, Acc.monitor: 0.1551, Acc.bulletin board: 0.5682, Acc.shower: 0.1054, Acc.radiator: 0.7530, Acc.glass: 0.2384, Acc.clock: 0.6029, Acc.flag: 0.5301 +2022-03-14 15:10:41,663 - mmseg - INFO - Iter [64050/160000] lr: 8.610e-07, eta: 23:25:25, time: 2.518, data_time: 1.659, memory: 73034, decode.loss_ce: 0.1869, decode.acc_seg: 75.1239, aux.loss_ce: 0.0957, aux.acc_seg: 73.8118, loss: 0.2825 +2022-03-14 15:11:24,970 - mmseg - INFO - Iter [64100/160000] lr: 8.606e-07, eta: 23:24:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1751, decode.acc_seg: 73.5707, aux.loss_ce: 0.0910, aux.acc_seg: 72.3451, loss: 0.2661 +2022-03-14 15:12:08,327 - mmseg - INFO - Iter [64150/160000] lr: 8.601e-07, eta: 23:23:55, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1811, decode.acc_seg: 74.4609, aux.loss_ce: 0.0941, aux.acc_seg: 73.2207, loss: 0.2752 +2022-03-14 15:12:51,600 - mmseg - INFO - Iter [64200/160000] lr: 8.597e-07, eta: 23:23:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1852, decode.acc_seg: 74.8341, aux.loss_ce: 0.0961, aux.acc_seg: 73.5454, loss: 0.2813 +2022-03-14 15:13:34,968 - mmseg - INFO - Iter [64250/160000] lr: 8.592e-07, eta: 23:22:25, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1957, decode.acc_seg: 72.7467, aux.loss_ce: 0.1003, aux.acc_seg: 71.5208, loss: 0.2960 +2022-03-14 15:14:18,354 - mmseg - INFO - Iter [64300/160000] lr: 8.588e-07, eta: 23:21:40, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1787, decode.acc_seg: 74.6245, aux.loss_ce: 0.0940, aux.acc_seg: 73.1980, loss: 0.2727 +2022-03-14 15:15:01,637 - mmseg - INFO - Iter [64350/160000] lr: 8.583e-07, eta: 23:20:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1832, decode.acc_seg: 75.3922, aux.loss_ce: 0.0964, aux.acc_seg: 74.2347, loss: 0.2796 +2022-03-14 15:15:44,939 - mmseg - INFO - Iter [64400/160000] lr: 8.579e-07, eta: 23:20:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1703, decode.acc_seg: 74.3837, aux.loss_ce: 0.0882, aux.acc_seg: 73.2209, loss: 0.2586 +2022-03-14 15:16:30,486 - mmseg - INFO - Iter [64450/160000] lr: 8.574e-07, eta: 23:19:29, time: 0.911, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1817, decode.acc_seg: 74.5830, aux.loss_ce: 0.0955, aux.acc_seg: 73.2876, loss: 0.2771 +2022-03-14 15:17:13,749 - mmseg - INFO - Iter [64500/160000] lr: 8.570e-07, eta: 23:18:44, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1878, decode.acc_seg: 74.0735, aux.loss_ce: 0.0968, aux.acc_seg: 72.8642, loss: 0.2845 +2022-03-14 15:17:56,844 - mmseg - INFO - Iter [64550/160000] lr: 8.566e-07, eta: 23:17:59, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1821, decode.acc_seg: 75.7224, aux.loss_ce: 0.0978, aux.acc_seg: 74.0660, loss: 0.2799 +2022-03-14 15:18:40,251 - mmseg - INFO - Iter [64600/160000] lr: 8.561e-07, eta: 23:17:14, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1751, decode.acc_seg: 74.7783, aux.loss_ce: 0.0910, aux.acc_seg: 73.5639, loss: 0.2661 +2022-03-14 15:19:23,667 - mmseg - INFO - Iter [64650/160000] lr: 8.557e-07, eta: 23:16:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1884, decode.acc_seg: 72.8152, aux.loss_ce: 0.0980, aux.acc_seg: 71.5531, loss: 0.2864 +2022-03-14 15:20:06,980 - mmseg - INFO - Iter [64700/160000] lr: 8.552e-07, eta: 23:15:45, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1859, decode.acc_seg: 74.5956, aux.loss_ce: 0.0971, aux.acc_seg: 73.3352, loss: 0.2830 +2022-03-14 15:20:50,143 - mmseg - INFO - Iter [64750/160000] lr: 8.548e-07, eta: 23:15:00, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1761, decode.acc_seg: 75.0020, aux.loss_ce: 0.0915, aux.acc_seg: 73.6118, loss: 0.2676 +2022-03-14 15:21:33,404 - mmseg - INFO - Iter [64800/160000] lr: 8.543e-07, eta: 23:14:15, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1713, decode.acc_seg: 75.0253, aux.loss_ce: 0.0907, aux.acc_seg: 73.6594, loss: 0.2620 +2022-03-14 15:22:17,104 - mmseg - INFO - Iter [64850/160000] lr: 8.539e-07, eta: 23:13:30, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1793, decode.acc_seg: 73.6508, aux.loss_ce: 0.0934, aux.acc_seg: 72.4516, loss: 0.2727 +2022-03-14 15:23:00,795 - mmseg - INFO - Iter [64900/160000] lr: 8.534e-07, eta: 23:12:46, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1799, decode.acc_seg: 74.9551, aux.loss_ce: 0.0929, aux.acc_seg: 73.6556, loss: 0.2728 +2022-03-14 15:23:44,112 - mmseg - INFO - Iter [64950/160000] lr: 8.530e-07, eta: 23:12:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1922, decode.acc_seg: 74.2932, aux.loss_ce: 0.1008, aux.acc_seg: 72.9720, loss: 0.2931 +2022-03-14 15:24:27,339 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 15:24:27,342 - mmseg - INFO - Iter [65000/160000] lr: 8.525e-07, eta: 23:11:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1755, decode.acc_seg: 75.3900, aux.loss_ce: 0.0914, aux.acc_seg: 74.1621, loss: 0.2669 +2022-03-14 15:25:10,626 - mmseg - INFO - Iter [65050/160000] lr: 8.521e-07, eta: 23:10:31, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 74.4994, aux.loss_ce: 0.0895, aux.acc_seg: 73.0876, loss: 0.2573 +2022-03-14 15:25:54,069 - mmseg - INFO - Iter [65100/160000] lr: 8.516e-07, eta: 23:09:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1782, decode.acc_seg: 73.1341, aux.loss_ce: 0.0974, aux.acc_seg: 71.8265, loss: 0.2756 +2022-03-14 15:26:37,276 - mmseg - INFO - Iter [65150/160000] lr: 8.512e-07, eta: 23:09:02, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1640, decode.acc_seg: 75.6637, aux.loss_ce: 0.0858, aux.acc_seg: 74.3118, loss: 0.2499 +2022-03-14 15:27:20,749 - mmseg - INFO - Iter [65200/160000] lr: 8.507e-07, eta: 23:08:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1814, decode.acc_seg: 74.2392, aux.loss_ce: 0.0979, aux.acc_seg: 72.7096, loss: 0.2793 +2022-03-14 15:28:04,018 - mmseg - INFO - Iter [65250/160000] lr: 8.503e-07, eta: 23:07:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1729, decode.acc_seg: 75.6507, aux.loss_ce: 0.0911, aux.acc_seg: 74.3351, loss: 0.2640 +2022-03-14 15:28:47,359 - mmseg - INFO - Iter [65300/160000] lr: 8.498e-07, eta: 23:06:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1688, decode.acc_seg: 75.7756, aux.loss_ce: 0.0886, aux.acc_seg: 74.4403, loss: 0.2573 +2022-03-14 15:29:30,886 - mmseg - INFO - Iter [65350/160000] lr: 8.494e-07, eta: 23:06:03, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1829, decode.acc_seg: 74.0174, aux.loss_ce: 0.0967, aux.acc_seg: 72.6841, loss: 0.2796 +2022-03-14 15:30:14,171 - mmseg - INFO - Iter [65400/160000] lr: 8.489e-07, eta: 23:05:18, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1818, decode.acc_seg: 75.8993, aux.loss_ce: 0.0966, aux.acc_seg: 74.4459, loss: 0.2784 +2022-03-14 15:30:57,749 - mmseg - INFO - Iter [65450/160000] lr: 8.485e-07, eta: 23:04:34, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1789, decode.acc_seg: 76.2384, aux.loss_ce: 0.0931, aux.acc_seg: 74.9380, loss: 0.2720 +2022-03-14 15:31:41,025 - mmseg - INFO - Iter [65500/160000] lr: 8.480e-07, eta: 23:03:49, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1748, decode.acc_seg: 75.5359, aux.loss_ce: 0.0916, aux.acc_seg: 74.1953, loss: 0.2664 +2022-03-14 15:32:24,172 - mmseg - INFO - Iter [65550/160000] lr: 8.476e-07, eta: 23:03:04, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1749, decode.acc_seg: 76.5760, aux.loss_ce: 0.0899, aux.acc_seg: 75.5445, loss: 0.2647 +2022-03-14 15:33:07,669 - mmseg - INFO - Iter [65600/160000] lr: 8.471e-07, eta: 23:02:19, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1806, decode.acc_seg: 75.2767, aux.loss_ce: 0.0923, aux.acc_seg: 74.0837, loss: 0.2729 +2022-03-14 15:33:51,095 - mmseg - INFO - Iter [65650/160000] lr: 8.467e-07, eta: 23:01:34, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1779, decode.acc_seg: 74.4661, aux.loss_ce: 0.0934, aux.acc_seg: 73.2701, loss: 0.2713 +2022-03-14 15:34:37,316 - mmseg - INFO - Iter [65700/160000] lr: 8.462e-07, eta: 23:00:54, time: 0.925, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1663, decode.acc_seg: 75.5226, aux.loss_ce: 0.0893, aux.acc_seg: 74.0719, loss: 0.2556 +2022-03-14 15:35:20,564 - mmseg - INFO - Iter [65750/160000] lr: 8.458e-07, eta: 23:00:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1886, decode.acc_seg: 74.5760, aux.loss_ce: 0.1021, aux.acc_seg: 72.8500, loss: 0.2907 +2022-03-14 15:36:03,821 - mmseg - INFO - Iter [65800/160000] lr: 8.453e-07, eta: 22:59:24, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1661, decode.acc_seg: 74.4737, aux.loss_ce: 0.0882, aux.acc_seg: 73.1222, loss: 0.2543 +2022-03-14 15:36:47,138 - mmseg - INFO - Iter [65850/160000] lr: 8.449e-07, eta: 22:58:39, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1782, decode.acc_seg: 74.8752, aux.loss_ce: 0.0942, aux.acc_seg: 73.4541, loss: 0.2724 +2022-03-14 15:37:30,604 - mmseg - INFO - Iter [65900/160000] lr: 8.444e-07, eta: 22:57:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1763, decode.acc_seg: 73.9552, aux.loss_ce: 0.0917, aux.acc_seg: 72.7301, loss: 0.2680 +2022-03-14 15:38:14,245 - mmseg - INFO - Iter [65950/160000] lr: 8.440e-07, eta: 22:57:10, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1861, decode.acc_seg: 76.4243, aux.loss_ce: 0.0972, aux.acc_seg: 75.0768, loss: 0.2833 +2022-03-14 15:38:57,951 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 15:38:57,955 - mmseg - INFO - Iter [66000/160000] lr: 8.435e-07, eta: 22:56:26, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1689, decode.acc_seg: 74.3314, aux.loss_ce: 0.0904, aux.acc_seg: 72.9474, loss: 0.2593 +2022-03-14 15:39:41,385 - mmseg - INFO - Iter [66050/160000] lr: 8.431e-07, eta: 22:55:41, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1746, decode.acc_seg: 76.5068, aux.loss_ce: 0.0919, aux.acc_seg: 75.1163, loss: 0.2666 +2022-03-14 15:40:24,589 - mmseg - INFO - Iter [66100/160000] lr: 8.426e-07, eta: 22:54:56, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1701, decode.acc_seg: 75.5396, aux.loss_ce: 0.0902, aux.acc_seg: 74.2365, loss: 0.2603 +2022-03-14 15:41:07,963 - mmseg - INFO - Iter [66150/160000] lr: 8.422e-07, eta: 22:54:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1694, decode.acc_seg: 74.5591, aux.loss_ce: 0.0904, aux.acc_seg: 73.2501, loss: 0.2598 +2022-03-14 15:41:51,198 - mmseg - INFO - Iter [66200/160000] lr: 8.417e-07, eta: 22:53:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1859, decode.acc_seg: 74.0267, aux.loss_ce: 0.0980, aux.acc_seg: 72.5902, loss: 0.2839 +2022-03-14 15:42:34,637 - mmseg - INFO - Iter [66250/160000] lr: 8.413e-07, eta: 22:52:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1690, decode.acc_seg: 75.5211, aux.loss_ce: 0.0883, aux.acc_seg: 74.2490, loss: 0.2573 +2022-03-14 15:43:18,075 - mmseg - INFO - Iter [66300/160000] lr: 8.408e-07, eta: 22:51:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1721, decode.acc_seg: 73.1627, aux.loss_ce: 0.0909, aux.acc_seg: 71.8088, loss: 0.2629 +2022-03-14 15:44:01,522 - mmseg - INFO - Iter [66350/160000] lr: 8.404e-07, eta: 22:51:13, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1804, decode.acc_seg: 75.3752, aux.loss_ce: 0.0971, aux.acc_seg: 73.9325, loss: 0.2775 +2022-03-14 15:44:44,780 - mmseg - INFO - Iter [66400/160000] lr: 8.399e-07, eta: 22:50:28, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1857, decode.acc_seg: 74.8929, aux.loss_ce: 0.0985, aux.acc_seg: 73.4201, loss: 0.2842 +2022-03-14 15:45:28,268 - mmseg - INFO - Iter [66450/160000] lr: 8.395e-07, eta: 22:49:43, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1717, decode.acc_seg: 74.2429, aux.loss_ce: 0.0899, aux.acc_seg: 73.0691, loss: 0.2616 +2022-03-14 15:46:11,642 - mmseg - INFO - Iter [66500/160000] lr: 8.391e-07, eta: 22:48:59, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1870, decode.acc_seg: 74.8909, aux.loss_ce: 0.0969, aux.acc_seg: 73.7561, loss: 0.2838 +2022-03-14 15:46:55,114 - mmseg - INFO - Iter [66550/160000] lr: 8.386e-07, eta: 22:48:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1880, decode.acc_seg: 75.8930, aux.loss_ce: 0.0991, aux.acc_seg: 74.5858, loss: 0.2871 +2022-03-14 15:47:38,665 - mmseg - INFO - Iter [66600/160000] lr: 8.382e-07, eta: 22:47:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1808, decode.acc_seg: 75.0219, aux.loss_ce: 0.0943, aux.acc_seg: 73.6842, loss: 0.2751 +2022-03-14 15:48:21,915 - mmseg - INFO - Iter [66650/160000] lr: 8.377e-07, eta: 22:46:45, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1765, decode.acc_seg: 75.1940, aux.loss_ce: 0.0916, aux.acc_seg: 73.8939, loss: 0.2681 +2022-03-14 15:49:05,312 - mmseg - INFO - Iter [66700/160000] lr: 8.373e-07, eta: 22:46:00, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1723, decode.acc_seg: 74.7758, aux.loss_ce: 0.0881, aux.acc_seg: 73.6825, loss: 0.2603 +2022-03-14 15:49:48,489 - mmseg - INFO - Iter [66750/160000] lr: 8.368e-07, eta: 22:45:15, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1785, decode.acc_seg: 74.0732, aux.loss_ce: 0.0932, aux.acc_seg: 72.7527, loss: 0.2717 +2022-03-14 15:50:32,016 - mmseg - INFO - Iter [66800/160000] lr: 8.364e-07, eta: 22:44:31, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1803, decode.acc_seg: 73.8454, aux.loss_ce: 0.0964, aux.acc_seg: 72.3343, loss: 0.2767 +2022-03-14 15:51:15,385 - mmseg - INFO - Iter [66850/160000] lr: 8.359e-07, eta: 22:43:46, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1925, decode.acc_seg: 74.6596, aux.loss_ce: 0.1011, aux.acc_seg: 73.3112, loss: 0.2936 +2022-03-14 15:51:59,223 - mmseg - INFO - Iter [66900/160000] lr: 8.355e-07, eta: 22:43:02, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1783, decode.acc_seg: 75.6677, aux.loss_ce: 0.0954, aux.acc_seg: 74.2602, loss: 0.2737 +2022-03-14 15:52:44,919 - mmseg - INFO - Iter [66950/160000] lr: 8.350e-07, eta: 22:42:21, time: 0.914, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1754, decode.acc_seg: 75.5770, aux.loss_ce: 0.0919, aux.acc_seg: 74.2890, loss: 0.2673 +2022-03-14 15:53:28,362 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 15:53:28,377 - mmseg - INFO - Iter [67000/160000] lr: 8.346e-07, eta: 22:41:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1804, decode.acc_seg: 75.1345, aux.loss_ce: 0.0960, aux.acc_seg: 73.7276, loss: 0.2764 +2022-03-14 15:54:11,676 - mmseg - INFO - Iter [67050/160000] lr: 8.341e-07, eta: 22:40:51, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1740, decode.acc_seg: 75.0165, aux.loss_ce: 0.0897, aux.acc_seg: 73.7900, loss: 0.2637 +2022-03-14 15:54:54,959 - mmseg - INFO - Iter [67100/160000] lr: 8.337e-07, eta: 22:40:06, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1673, decode.acc_seg: 74.1635, aux.loss_ce: 0.0871, aux.acc_seg: 73.0331, loss: 0.2544 +2022-03-14 15:55:38,638 - mmseg - INFO - Iter [67150/160000] lr: 8.332e-07, eta: 22:39:22, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1706, decode.acc_seg: 75.3166, aux.loss_ce: 0.0911, aux.acc_seg: 73.9260, loss: 0.2617 +2022-03-14 15:56:22,097 - mmseg - INFO - Iter [67200/160000] lr: 8.328e-07, eta: 22:38:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1799, decode.acc_seg: 74.9576, aux.loss_ce: 0.0946, aux.acc_seg: 73.5815, loss: 0.2745 +2022-03-14 15:57:05,615 - mmseg - INFO - Iter [67250/160000] lr: 8.323e-07, eta: 22:37:53, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1685, decode.acc_seg: 74.1273, aux.loss_ce: 0.0919, aux.acc_seg: 72.6493, loss: 0.2604 +2022-03-14 15:57:49,082 - mmseg - INFO - Iter [67300/160000] lr: 8.319e-07, eta: 22:37:09, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1766, decode.acc_seg: 75.9786, aux.loss_ce: 0.0914, aux.acc_seg: 74.7650, loss: 0.2680 +2022-03-14 15:58:32,552 - mmseg - INFO - Iter [67350/160000] lr: 8.314e-07, eta: 22:36:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1725, decode.acc_seg: 73.6417, aux.loss_ce: 0.0911, aux.acc_seg: 72.2717, loss: 0.2637 +2022-03-14 15:59:15,715 - mmseg - INFO - Iter [67400/160000] lr: 8.310e-07, eta: 22:35:39, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1654, decode.acc_seg: 73.8940, aux.loss_ce: 0.0863, aux.acc_seg: 72.7396, loss: 0.2517 +2022-03-14 15:59:59,076 - mmseg - INFO - Iter [67450/160000] lr: 8.305e-07, eta: 22:34:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1769, decode.acc_seg: 75.8222, aux.loss_ce: 0.0933, aux.acc_seg: 74.3925, loss: 0.2702 +2022-03-14 16:00:42,542 - mmseg - INFO - Iter [67500/160000] lr: 8.301e-07, eta: 22:34:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1721, decode.acc_seg: 76.7956, aux.loss_ce: 0.0906, aux.acc_seg: 75.4428, loss: 0.2627 +2022-03-14 16:01:26,156 - mmseg - INFO - Iter [67550/160000] lr: 8.296e-07, eta: 22:33:26, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1768, decode.acc_seg: 76.2911, aux.loss_ce: 0.0918, aux.acc_seg: 75.1062, loss: 0.2686 +2022-03-14 16:02:09,774 - mmseg - INFO - Iter [67600/160000] lr: 8.292e-07, eta: 22:32:41, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1756, decode.acc_seg: 75.7362, aux.loss_ce: 0.0921, aux.acc_seg: 74.5413, loss: 0.2677 +2022-03-14 16:02:53,197 - mmseg - INFO - Iter [67650/160000] lr: 8.287e-07, eta: 22:31:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1822, decode.acc_seg: 75.7473, aux.loss_ce: 0.0964, aux.acc_seg: 74.3577, loss: 0.2785 +2022-03-14 16:03:36,748 - mmseg - INFO - Iter [67700/160000] lr: 8.283e-07, eta: 22:31:12, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1810, decode.acc_seg: 74.4777, aux.loss_ce: 0.0954, aux.acc_seg: 73.2269, loss: 0.2764 +2022-03-14 16:04:20,027 - mmseg - INFO - Iter [67750/160000] lr: 8.278e-07, eta: 22:30:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1754, decode.acc_seg: 74.1993, aux.loss_ce: 0.0924, aux.acc_seg: 73.0226, loss: 0.2678 +2022-03-14 16:05:03,466 - mmseg - INFO - Iter [67800/160000] lr: 8.274e-07, eta: 22:29:43, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1683, decode.acc_seg: 75.3127, aux.loss_ce: 0.0909, aux.acc_seg: 73.9051, loss: 0.2593 +2022-03-14 16:05:46,831 - mmseg - INFO - Iter [67850/160000] lr: 8.269e-07, eta: 22:28:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1752, decode.acc_seg: 75.3825, aux.loss_ce: 0.0920, aux.acc_seg: 74.1042, loss: 0.2672 +2022-03-14 16:06:30,105 - mmseg - INFO - Iter [67900/160000] lr: 8.265e-07, eta: 22:28:13, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1797, decode.acc_seg: 73.9113, aux.loss_ce: 0.0933, aux.acc_seg: 72.7074, loss: 0.2730 +2022-03-14 16:07:13,609 - mmseg - INFO - Iter [67950/160000] lr: 8.260e-07, eta: 22:27:29, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1702, decode.acc_seg: 73.7862, aux.loss_ce: 0.0887, aux.acc_seg: 72.4804, loss: 0.2589 +2022-03-14 16:07:56,906 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 16:07:56,912 - mmseg - INFO - Iter [68000/160000] lr: 8.256e-07, eta: 22:26:44, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 75.0895, aux.loss_ce: 0.0858, aux.acc_seg: 73.9350, loss: 0.2497 +2022-03-14 16:08:40,404 - mmseg - INFO - Iter [68050/160000] lr: 8.251e-07, eta: 22:26:00, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1861, decode.acc_seg: 73.8087, aux.loss_ce: 0.0990, aux.acc_seg: 72.3700, loss: 0.2850 +2022-03-14 16:09:23,728 - mmseg - INFO - Iter [68100/160000] lr: 8.247e-07, eta: 22:25:15, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1697, decode.acc_seg: 74.7495, aux.loss_ce: 0.0896, aux.acc_seg: 73.4685, loss: 0.2593 +2022-03-14 16:10:07,026 - mmseg - INFO - Iter [68150/160000] lr: 8.242e-07, eta: 22:24:30, time: 0.866, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1799, decode.acc_seg: 75.3265, aux.loss_ce: 0.0948, aux.acc_seg: 74.0841, loss: 0.2747 +2022-03-14 16:10:50,363 - mmseg - INFO - Iter [68200/160000] lr: 8.238e-07, eta: 22:23:45, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1738, decode.acc_seg: 72.5433, aux.loss_ce: 0.0906, aux.acc_seg: 71.3587, loss: 0.2644 +2022-03-14 16:11:36,187 - mmseg - INFO - Iter [68250/160000] lr: 8.233e-07, eta: 22:23:04, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1827, decode.acc_seg: 76.3481, aux.loss_ce: 0.0946, aux.acc_seg: 75.0292, loss: 0.2773 +2022-03-14 16:12:19,496 - mmseg - INFO - Iter [68300/160000] lr: 8.229e-07, eta: 22:22:19, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1667, decode.acc_seg: 75.0232, aux.loss_ce: 0.0885, aux.acc_seg: 73.7037, loss: 0.2552 +2022-03-14 16:13:02,900 - mmseg - INFO - Iter [68350/160000] lr: 8.225e-07, eta: 22:21:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1692, decode.acc_seg: 73.5268, aux.loss_ce: 0.0897, aux.acc_seg: 72.2425, loss: 0.2589 +2022-03-14 16:13:46,393 - mmseg - INFO - Iter [68400/160000] lr: 8.220e-07, eta: 22:20:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1792, decode.acc_seg: 74.3481, aux.loss_ce: 0.0938, aux.acc_seg: 72.9917, loss: 0.2730 +2022-03-14 16:14:29,786 - mmseg - INFO - Iter [68450/160000] lr: 8.216e-07, eta: 22:20:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1713, decode.acc_seg: 74.6359, aux.loss_ce: 0.0909, aux.acc_seg: 73.2967, loss: 0.2622 +2022-03-14 16:15:13,091 - mmseg - INFO - Iter [68500/160000] lr: 8.211e-07, eta: 22:19:21, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1769, decode.acc_seg: 74.8340, aux.loss_ce: 0.0932, aux.acc_seg: 73.4079, loss: 0.2700 +2022-03-14 16:15:56,283 - mmseg - INFO - Iter [68550/160000] lr: 8.207e-07, eta: 22:18:36, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1707, decode.acc_seg: 74.2447, aux.loss_ce: 0.0884, aux.acc_seg: 73.1312, loss: 0.2590 +2022-03-14 16:16:39,675 - mmseg - INFO - Iter [68600/160000] lr: 8.202e-07, eta: 22:17:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1889, decode.acc_seg: 73.7396, aux.loss_ce: 0.0994, aux.acc_seg: 72.3085, loss: 0.2883 +2022-03-14 16:17:23,169 - mmseg - INFO - Iter [68650/160000] lr: 8.198e-07, eta: 22:17:07, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1740, decode.acc_seg: 75.2933, aux.loss_ce: 0.0912, aux.acc_seg: 74.0725, loss: 0.2652 +2022-03-14 16:18:06,844 - mmseg - INFO - Iter [68700/160000] lr: 8.193e-07, eta: 22:16:23, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1826, decode.acc_seg: 73.8852, aux.loss_ce: 0.0957, aux.acc_seg: 72.6048, loss: 0.2783 +2022-03-14 16:18:50,136 - mmseg - INFO - Iter [68750/160000] lr: 8.189e-07, eta: 22:15:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1734, decode.acc_seg: 75.7000, aux.loss_ce: 0.0884, aux.acc_seg: 74.5877, loss: 0.2618 +2022-03-14 16:19:33,530 - mmseg - INFO - Iter [68800/160000] lr: 8.184e-07, eta: 22:14:53, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1751, decode.acc_seg: 75.1229, aux.loss_ce: 0.0928, aux.acc_seg: 73.7708, loss: 0.2679 +2022-03-14 16:20:16,693 - mmseg - INFO - Iter [68850/160000] lr: 8.180e-07, eta: 22:14:09, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1742, decode.acc_seg: 74.7387, aux.loss_ce: 0.0909, aux.acc_seg: 73.4196, loss: 0.2651 +2022-03-14 16:21:00,092 - mmseg - INFO - Iter [68900/160000] lr: 8.175e-07, eta: 22:13:24, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1875, decode.acc_seg: 75.8144, aux.loss_ce: 0.0963, aux.acc_seg: 74.6547, loss: 0.2838 +2022-03-14 16:21:43,544 - mmseg - INFO - Iter [68950/160000] lr: 8.171e-07, eta: 22:12:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1823, decode.acc_seg: 73.9177, aux.loss_ce: 0.0968, aux.acc_seg: 72.5969, loss: 0.2791 +2022-03-14 16:22:26,984 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 16:22:26,987 - mmseg - INFO - Iter [69000/160000] lr: 8.166e-07, eta: 22:11:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1857, decode.acc_seg: 74.1431, aux.loss_ce: 0.0976, aux.acc_seg: 72.7870, loss: 0.2833 +2022-03-14 16:23:10,592 - mmseg - INFO - Iter [69050/160000] lr: 8.162e-07, eta: 22:11:11, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1742, decode.acc_seg: 74.8277, aux.loss_ce: 0.0903, aux.acc_seg: 73.6008, loss: 0.2645 +2022-03-14 16:23:54,070 - mmseg - INFO - Iter [69100/160000] lr: 8.157e-07, eta: 22:10:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1718, decode.acc_seg: 74.3661, aux.loss_ce: 0.0902, aux.acc_seg: 73.0260, loss: 0.2620 +2022-03-14 16:24:37,531 - mmseg - INFO - Iter [69150/160000] lr: 8.153e-07, eta: 22:09:42, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1704, decode.acc_seg: 73.4252, aux.loss_ce: 0.0892, aux.acc_seg: 72.2836, loss: 0.2596 +2022-03-14 16:25:20,934 - mmseg - INFO - Iter [69200/160000] lr: 8.148e-07, eta: 22:08:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1686, decode.acc_seg: 75.6732, aux.loss_ce: 0.0874, aux.acc_seg: 74.5893, loss: 0.2560 +2022-03-14 16:26:04,408 - mmseg - INFO - Iter [69250/160000] lr: 8.144e-07, eta: 22:08:13, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1722, decode.acc_seg: 75.6002, aux.loss_ce: 0.0890, aux.acc_seg: 74.4701, loss: 0.2612 +2022-03-14 16:26:47,813 - mmseg - INFO - Iter [69300/160000] lr: 8.139e-07, eta: 22:07:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1779, decode.acc_seg: 74.2246, aux.loss_ce: 0.0938, aux.acc_seg: 72.8230, loss: 0.2717 +2022-03-14 16:27:31,474 - mmseg - INFO - Iter [69350/160000] lr: 8.135e-07, eta: 22:06:44, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1700, decode.acc_seg: 75.1260, aux.loss_ce: 0.0896, aux.acc_seg: 73.9537, loss: 0.2596 +2022-03-14 16:28:15,120 - mmseg - INFO - Iter [69400/160000] lr: 8.130e-07, eta: 22:06:00, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1768, decode.acc_seg: 76.2103, aux.loss_ce: 0.0937, aux.acc_seg: 74.9250, loss: 0.2706 +2022-03-14 16:28:58,312 - mmseg - INFO - Iter [69450/160000] lr: 8.126e-07, eta: 22:05:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1641, decode.acc_seg: 75.0559, aux.loss_ce: 0.0840, aux.acc_seg: 73.8885, loss: 0.2481 +2022-03-14 16:29:44,153 - mmseg - INFO - Iter [69500/160000] lr: 8.121e-07, eta: 22:04:33, time: 0.917, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1799, decode.acc_seg: 74.9002, aux.loss_ce: 0.0936, aux.acc_seg: 73.6943, loss: 0.2735 +2022-03-14 16:30:27,403 - mmseg - INFO - Iter [69550/160000] lr: 8.117e-07, eta: 22:03:49, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1575, decode.acc_seg: 75.1102, aux.loss_ce: 0.0847, aux.acc_seg: 73.8921, loss: 0.2422 +2022-03-14 16:31:10,836 - mmseg - INFO - Iter [69600/160000] lr: 8.112e-07, eta: 22:03:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1628, decode.acc_seg: 75.4410, aux.loss_ce: 0.0865, aux.acc_seg: 74.2297, loss: 0.2493 +2022-03-14 16:31:54,270 - mmseg - INFO - Iter [69650/160000] lr: 8.108e-07, eta: 22:02:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1713, decode.acc_seg: 75.3234, aux.loss_ce: 0.0896, aux.acc_seg: 74.0970, loss: 0.2608 +2022-03-14 16:32:37,559 - mmseg - INFO - Iter [69700/160000] lr: 8.103e-07, eta: 22:01:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1794, decode.acc_seg: 74.6964, aux.loss_ce: 0.0911, aux.acc_seg: 73.5068, loss: 0.2705 +2022-03-14 16:33:21,289 - mmseg - INFO - Iter [69750/160000] lr: 8.099e-07, eta: 22:00:51, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1751, decode.acc_seg: 75.0690, aux.loss_ce: 0.0934, aux.acc_seg: 73.6989, loss: 0.2686 +2022-03-14 16:34:04,848 - mmseg - INFO - Iter [69800/160000] lr: 8.094e-07, eta: 22:00:06, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1864, decode.acc_seg: 74.8090, aux.loss_ce: 0.0990, aux.acc_seg: 73.4131, loss: 0.2854 +2022-03-14 16:34:48,203 - mmseg - INFO - Iter [69850/160000] lr: 8.090e-07, eta: 21:59:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1717, decode.acc_seg: 73.4664, aux.loss_ce: 0.0888, aux.acc_seg: 72.3043, loss: 0.2605 +2022-03-14 16:35:31,496 - mmseg - INFO - Iter [69900/160000] lr: 8.085e-07, eta: 21:58:37, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1730, decode.acc_seg: 74.3265, aux.loss_ce: 0.0921, aux.acc_seg: 73.0734, loss: 0.2651 +2022-03-14 16:36:14,830 - mmseg - INFO - Iter [69950/160000] lr: 8.081e-07, eta: 21:57:52, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1798, decode.acc_seg: 73.6048, aux.loss_ce: 0.0951, aux.acc_seg: 72.3546, loss: 0.2748 +2022-03-14 16:36:57,995 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 16:36:58,001 - mmseg - INFO - Iter [70000/160000] lr: 8.076e-07, eta: 21:57:07, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1671, decode.acc_seg: 74.9127, aux.loss_ce: 0.0869, aux.acc_seg: 73.7592, loss: 0.2540 +2022-03-14 16:37:41,576 - mmseg - INFO - Iter [70050/160000] lr: 8.072e-07, eta: 21:56:23, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1651, decode.acc_seg: 76.3077, aux.loss_ce: 0.0871, aux.acc_seg: 75.0372, loss: 0.2522 +2022-03-14 16:38:25,254 - mmseg - INFO - Iter [70100/160000] lr: 8.067e-07, eta: 21:55:39, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1666, decode.acc_seg: 73.3004, aux.loss_ce: 0.0890, aux.acc_seg: 72.0121, loss: 0.2556 +2022-03-14 16:39:08,758 - mmseg - INFO - Iter [70150/160000] lr: 8.063e-07, eta: 21:54:55, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1591, decode.acc_seg: 76.1620, aux.loss_ce: 0.0838, aux.acc_seg: 74.9429, loss: 0.2429 +2022-03-14 16:39:52,159 - mmseg - INFO - Iter [70200/160000] lr: 8.058e-07, eta: 21:54:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1691, decode.acc_seg: 74.5769, aux.loss_ce: 0.0889, aux.acc_seg: 73.3034, loss: 0.2580 +2022-03-14 16:40:35,646 - mmseg - INFO - Iter [70250/160000] lr: 8.054e-07, eta: 21:53:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1850, decode.acc_seg: 75.4020, aux.loss_ce: 0.0978, aux.acc_seg: 73.9892, loss: 0.2828 +2022-03-14 16:41:18,980 - mmseg - INFO - Iter [70300/160000] lr: 8.050e-07, eta: 21:52:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1781, decode.acc_seg: 75.6052, aux.loss_ce: 0.0944, aux.acc_seg: 74.1028, loss: 0.2725 +2022-03-14 16:42:02,574 - mmseg - INFO - Iter [70350/160000] lr: 8.045e-07, eta: 21:51:57, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1740, decode.acc_seg: 74.9000, aux.loss_ce: 0.0925, aux.acc_seg: 73.4246, loss: 0.2664 +2022-03-14 16:42:46,184 - mmseg - INFO - Iter [70400/160000] lr: 8.041e-07, eta: 21:51:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1668, decode.acc_seg: 74.7802, aux.loss_ce: 0.0862, aux.acc_seg: 73.6525, loss: 0.2530 +2022-03-14 16:43:29,541 - mmseg - INFO - Iter [70450/160000] lr: 8.036e-07, eta: 21:50:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1749, decode.acc_seg: 75.3020, aux.loss_ce: 0.0906, aux.acc_seg: 74.0583, loss: 0.2656 +2022-03-14 16:44:12,873 - mmseg - INFO - Iter [70500/160000] lr: 8.032e-07, eta: 21:49:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1771, decode.acc_seg: 73.6872, aux.loss_ce: 0.0925, aux.acc_seg: 72.4754, loss: 0.2696 +2022-03-14 16:44:56,202 - mmseg - INFO - Iter [70550/160000] lr: 8.027e-07, eta: 21:48:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1805, decode.acc_seg: 75.0319, aux.loss_ce: 0.0935, aux.acc_seg: 73.6544, loss: 0.2739 +2022-03-14 16:45:39,716 - mmseg - INFO - Iter [70600/160000] lr: 8.023e-07, eta: 21:48:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1711, decode.acc_seg: 74.9288, aux.loss_ce: 0.0870, aux.acc_seg: 73.7817, loss: 0.2580 +2022-03-14 16:46:23,288 - mmseg - INFO - Iter [70650/160000] lr: 8.018e-07, eta: 21:47:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1698, decode.acc_seg: 74.5889, aux.loss_ce: 0.0894, aux.acc_seg: 73.2746, loss: 0.2592 +2022-03-14 16:47:06,755 - mmseg - INFO - Iter [70700/160000] lr: 8.014e-07, eta: 21:46:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1728, decode.acc_seg: 75.0691, aux.loss_ce: 0.0920, aux.acc_seg: 73.7649, loss: 0.2648 +2022-03-14 16:47:52,653 - mmseg - INFO - Iter [70750/160000] lr: 8.009e-07, eta: 21:46:04, time: 0.918, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1676, decode.acc_seg: 75.3940, aux.loss_ce: 0.0890, aux.acc_seg: 74.1268, loss: 0.2566 +2022-03-14 16:48:36,438 - mmseg - INFO - Iter [70800/160000] lr: 8.005e-07, eta: 21:45:20, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1716, decode.acc_seg: 74.8759, aux.loss_ce: 0.0898, aux.acc_seg: 73.6063, loss: 0.2614 +2022-03-14 16:49:19,807 - mmseg - INFO - Iter [70850/160000] lr: 8.000e-07, eta: 21:44:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1752, decode.acc_seg: 74.2551, aux.loss_ce: 0.0924, aux.acc_seg: 72.9409, loss: 0.2675 +2022-03-14 16:50:03,448 - mmseg - INFO - Iter [70900/160000] lr: 7.996e-07, eta: 21:43:51, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1620, decode.acc_seg: 75.1521, aux.loss_ce: 0.0856, aux.acc_seg: 73.9271, loss: 0.2476 +2022-03-14 16:50:46,869 - mmseg - INFO - Iter [70950/160000] lr: 7.991e-07, eta: 21:43:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1767, decode.acc_seg: 74.9646, aux.loss_ce: 0.0940, aux.acc_seg: 73.4361, loss: 0.2707 +2022-03-14 16:51:30,058 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 16:51:30,061 - mmseg - INFO - Iter [71000/160000] lr: 7.987e-07, eta: 21:42:22, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1655, decode.acc_seg: 74.8915, aux.loss_ce: 0.0894, aux.acc_seg: 73.5384, loss: 0.2549 +2022-03-14 16:52:13,251 - mmseg - INFO - Iter [71050/160000] lr: 7.982e-07, eta: 21:41:37, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1521, decode.acc_seg: 74.9543, aux.loss_ce: 0.0822, aux.acc_seg: 73.7315, loss: 0.2343 +2022-03-14 16:52:56,634 - mmseg - INFO - Iter [71100/160000] lr: 7.978e-07, eta: 21:40:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1620, decode.acc_seg: 75.4501, aux.loss_ce: 0.0858, aux.acc_seg: 74.1872, loss: 0.2477 +2022-03-14 16:53:40,111 - mmseg - INFO - Iter [71150/160000] lr: 7.973e-07, eta: 21:40:08, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1822, decode.acc_seg: 74.3077, aux.loss_ce: 0.0941, aux.acc_seg: 72.9927, loss: 0.2762 +2022-03-14 16:54:23,486 - mmseg - INFO - Iter [71200/160000] lr: 7.969e-07, eta: 21:39:23, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1790, decode.acc_seg: 75.1087, aux.loss_ce: 0.0952, aux.acc_seg: 73.6723, loss: 0.2743 +2022-03-14 16:55:07,048 - mmseg - INFO - Iter [71250/160000] lr: 7.964e-07, eta: 21:38:39, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1869, decode.acc_seg: 75.8669, aux.loss_ce: 0.0981, aux.acc_seg: 74.4236, loss: 0.2850 +2022-03-14 16:55:50,317 - mmseg - INFO - Iter [71300/160000] lr: 7.960e-07, eta: 21:37:55, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1700, decode.acc_seg: 75.7008, aux.loss_ce: 0.0889, aux.acc_seg: 74.3748, loss: 0.2589 +2022-03-14 16:56:33,607 - mmseg - INFO - Iter [71350/160000] lr: 7.955e-07, eta: 21:37:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1716, decode.acc_seg: 76.2926, aux.loss_ce: 0.0898, aux.acc_seg: 74.9976, loss: 0.2615 +2022-03-14 16:57:17,167 - mmseg - INFO - Iter [71400/160000] lr: 7.951e-07, eta: 21:36:26, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1716, decode.acc_seg: 73.6393, aux.loss_ce: 0.0900, aux.acc_seg: 72.3717, loss: 0.2617 +2022-03-14 16:58:00,652 - mmseg - INFO - Iter [71450/160000] lr: 7.946e-07, eta: 21:35:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1727, decode.acc_seg: 74.3199, aux.loss_ce: 0.0912, aux.acc_seg: 72.9542, loss: 0.2639 +2022-03-14 16:58:44,236 - mmseg - INFO - Iter [71500/160000] lr: 7.942e-07, eta: 21:34:57, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1743, decode.acc_seg: 74.7858, aux.loss_ce: 0.0929, aux.acc_seg: 73.4209, loss: 0.2672 +2022-03-14 16:59:27,524 - mmseg - INFO - Iter [71550/160000] lr: 7.937e-07, eta: 21:34:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1706, decode.acc_seg: 75.9309, aux.loss_ce: 0.0904, aux.acc_seg: 74.6521, loss: 0.2610 +2022-03-14 17:00:10,968 - mmseg - INFO - Iter [71600/160000] lr: 7.933e-07, eta: 21:33:28, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1736, decode.acc_seg: 74.7811, aux.loss_ce: 0.0912, aux.acc_seg: 73.5322, loss: 0.2649 +2022-03-14 17:00:54,185 - mmseg - INFO - Iter [71650/160000] lr: 7.928e-07, eta: 21:32:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1709, decode.acc_seg: 74.6612, aux.loss_ce: 0.0893, aux.acc_seg: 73.4191, loss: 0.2602 +2022-03-14 17:01:37,549 - mmseg - INFO - Iter [71700/160000] lr: 7.924e-07, eta: 21:31:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1705, decode.acc_seg: 75.0337, aux.loss_ce: 0.0898, aux.acc_seg: 73.7846, loss: 0.2604 +2022-03-14 17:02:21,135 - mmseg - INFO - Iter [71750/160000] lr: 7.919e-07, eta: 21:31:14, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1731, decode.acc_seg: 76.2035, aux.loss_ce: 0.0883, aux.acc_seg: 75.1622, loss: 0.2614 +2022-03-14 17:03:04,604 - mmseg - INFO - Iter [71800/160000] lr: 7.915e-07, eta: 21:30:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1774, decode.acc_seg: 75.2257, aux.loss_ce: 0.0929, aux.acc_seg: 73.9004, loss: 0.2703 +2022-03-14 17:03:48,015 - mmseg - INFO - Iter [71850/160000] lr: 7.910e-07, eta: 21:29:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1745, decode.acc_seg: 75.3467, aux.loss_ce: 0.0910, aux.acc_seg: 74.1855, loss: 0.2655 +2022-03-14 17:04:31,739 - mmseg - INFO - Iter [71900/160000] lr: 7.906e-07, eta: 21:29:01, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1678, decode.acc_seg: 76.1522, aux.loss_ce: 0.0875, aux.acc_seg: 74.8816, loss: 0.2553 +2022-03-14 17:05:15,011 - mmseg - INFO - Iter [71950/160000] lr: 7.901e-07, eta: 21:28:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1708, decode.acc_seg: 74.5169, aux.loss_ce: 0.0896, aux.acc_seg: 73.3136, loss: 0.2603 +2022-03-14 17:06:01,080 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 17:06:01,083 - mmseg - INFO - Iter [72000/160000] lr: 7.897e-07, eta: 21:27:35, time: 0.922, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1612, decode.acc_seg: 75.9186, aux.loss_ce: 0.0860, aux.acc_seg: 74.5948, loss: 0.2472 +2022-03-14 17:06:44,323 - mmseg - INFO - Iter [72050/160000] lr: 7.892e-07, eta: 21:26:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1625, decode.acc_seg: 74.8264, aux.loss_ce: 0.0862, aux.acc_seg: 73.5304, loss: 0.2487 +2022-03-14 17:07:27,641 - mmseg - INFO - Iter [72100/160000] lr: 7.888e-07, eta: 21:26:06, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1718, decode.acc_seg: 74.7023, aux.loss_ce: 0.0900, aux.acc_seg: 73.4099, loss: 0.2618 +2022-03-14 17:08:11,231 - mmseg - INFO - Iter [72150/160000] lr: 7.884e-07, eta: 21:25:22, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1680, decode.acc_seg: 74.3935, aux.loss_ce: 0.0904, aux.acc_seg: 73.0211, loss: 0.2583 +2022-03-14 17:08:54,532 - mmseg - INFO - Iter [72200/160000] lr: 7.879e-07, eta: 21:24:37, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1724, decode.acc_seg: 74.5504, aux.loss_ce: 0.0891, aux.acc_seg: 73.3287, loss: 0.2615 +2022-03-14 17:09:38,338 - mmseg - INFO - Iter [72250/160000] lr: 7.875e-07, eta: 21:23:53, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1662, decode.acc_seg: 74.5352, aux.loss_ce: 0.0889, aux.acc_seg: 73.2057, loss: 0.2551 +2022-03-14 17:10:21,882 - mmseg - INFO - Iter [72300/160000] lr: 7.870e-07, eta: 21:23:09, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1657, decode.acc_seg: 76.1422, aux.loss_ce: 0.0900, aux.acc_seg: 74.7944, loss: 0.2557 +2022-03-14 17:11:05,413 - mmseg - INFO - Iter [72350/160000] lr: 7.866e-07, eta: 21:22:24, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1605, decode.acc_seg: 74.7040, aux.loss_ce: 0.0856, aux.acc_seg: 73.3578, loss: 0.2461 +2022-03-14 17:11:48,661 - mmseg - INFO - Iter [72400/160000] lr: 7.861e-07, eta: 21:21:40, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1690, decode.acc_seg: 74.3200, aux.loss_ce: 0.0897, aux.acc_seg: 73.0087, loss: 0.2587 +2022-03-14 17:12:32,061 - mmseg - INFO - Iter [72450/160000] lr: 7.857e-07, eta: 21:20:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1767, decode.acc_seg: 75.0614, aux.loss_ce: 0.0943, aux.acc_seg: 73.6903, loss: 0.2710 +2022-03-14 17:13:15,226 - mmseg - INFO - Iter [72500/160000] lr: 7.852e-07, eta: 21:20:11, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1703, decode.acc_seg: 74.9715, aux.loss_ce: 0.0888, aux.acc_seg: 73.7020, loss: 0.2590 +2022-03-14 17:13:58,387 - mmseg - INFO - Iter [72550/160000] lr: 7.848e-07, eta: 21:19:26, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1810, decode.acc_seg: 75.2084, aux.loss_ce: 0.0951, aux.acc_seg: 73.9557, loss: 0.2762 +2022-03-14 17:14:41,672 - mmseg - INFO - Iter [72600/160000] lr: 7.843e-07, eta: 21:18:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1725, decode.acc_seg: 74.9391, aux.loss_ce: 0.0894, aux.acc_seg: 73.8010, loss: 0.2619 +2022-03-14 17:15:25,169 - mmseg - INFO - Iter [72650/160000] lr: 7.839e-07, eta: 21:17:57, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1682, decode.acc_seg: 74.9756, aux.loss_ce: 0.0860, aux.acc_seg: 73.9384, loss: 0.2542 +2022-03-14 17:16:08,446 - mmseg - INFO - Iter [72700/160000] lr: 7.834e-07, eta: 21:17:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1633, decode.acc_seg: 74.3236, aux.loss_ce: 0.0863, aux.acc_seg: 73.0667, loss: 0.2496 +2022-03-14 17:16:51,809 - mmseg - INFO - Iter [72750/160000] lr: 7.830e-07, eta: 21:16:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1643, decode.acc_seg: 75.7577, aux.loss_ce: 0.0859, aux.acc_seg: 74.5104, loss: 0.2502 +2022-03-14 17:17:35,100 - mmseg - INFO - Iter [72800/160000] lr: 7.825e-07, eta: 21:15:43, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1690, decode.acc_seg: 76.2629, aux.loss_ce: 0.0892, aux.acc_seg: 74.9087, loss: 0.2582 +2022-03-14 17:18:18,482 - mmseg - INFO - Iter [72850/160000] lr: 7.821e-07, eta: 21:14:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1670, decode.acc_seg: 74.7594, aux.loss_ce: 0.0898, aux.acc_seg: 73.4249, loss: 0.2568 +2022-03-14 17:19:01,933 - mmseg - INFO - Iter [72900/160000] lr: 7.816e-07, eta: 21:14:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1660, decode.acc_seg: 74.6401, aux.loss_ce: 0.0861, aux.acc_seg: 73.3262, loss: 0.2521 +2022-03-14 17:19:45,409 - mmseg - INFO - Iter [72950/160000] lr: 7.812e-07, eta: 21:13:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1706, decode.acc_seg: 74.8254, aux.loss_ce: 0.0885, aux.acc_seg: 73.6352, loss: 0.2591 +2022-03-14 17:20:28,857 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 17:20:28,861 - mmseg - INFO - Iter [73000/160000] lr: 7.807e-07, eta: 21:12:45, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1759, decode.acc_seg: 75.2707, aux.loss_ce: 0.0940, aux.acc_seg: 73.8305, loss: 0.2699 +2022-03-14 17:21:12,175 - mmseg - INFO - Iter [73050/160000] lr: 7.803e-07, eta: 21:12:01, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1695, decode.acc_seg: 73.7575, aux.loss_ce: 0.0898, aux.acc_seg: 72.4375, loss: 0.2593 +2022-03-14 17:21:55,404 - mmseg - INFO - Iter [73100/160000] lr: 7.798e-07, eta: 21:11:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1668, decode.acc_seg: 74.5011, aux.loss_ce: 0.0879, aux.acc_seg: 73.2548, loss: 0.2547 +2022-03-14 17:22:38,614 - mmseg - INFO - Iter [73150/160000] lr: 7.794e-07, eta: 21:10:31, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1818, decode.acc_seg: 75.7033, aux.loss_ce: 0.0945, aux.acc_seg: 74.3904, loss: 0.2763 +2022-03-14 17:23:21,993 - mmseg - INFO - Iter [73200/160000] lr: 7.789e-07, eta: 21:09:47, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1682, decode.acc_seg: 74.7912, aux.loss_ce: 0.0881, aux.acc_seg: 73.5769, loss: 0.2563 +2022-03-14 17:24:05,401 - mmseg - INFO - Iter [73250/160000] lr: 7.785e-07, eta: 21:09:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 74.2988, aux.loss_ce: 0.0877, aux.acc_seg: 72.9787, loss: 0.2517 +2022-03-14 17:24:51,194 - mmseg - INFO - Iter [73300/160000] lr: 7.780e-07, eta: 21:08:21, time: 0.916, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1569, decode.acc_seg: 75.9744, aux.loss_ce: 0.0839, aux.acc_seg: 74.6679, loss: 0.2408 +2022-03-14 17:25:34,450 - mmseg - INFO - Iter [73350/160000] lr: 7.776e-07, eta: 21:07:36, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1705, decode.acc_seg: 76.4027, aux.loss_ce: 0.0902, aux.acc_seg: 75.1160, loss: 0.2607 +2022-03-14 17:26:17,855 - mmseg - INFO - Iter [73400/160000] lr: 7.771e-07, eta: 21:06:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1773, decode.acc_seg: 75.7026, aux.loss_ce: 0.0927, aux.acc_seg: 74.4042, loss: 0.2700 +2022-03-14 17:27:01,128 - mmseg - INFO - Iter [73450/160000] lr: 7.767e-07, eta: 21:06:07, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1712, decode.acc_seg: 73.1215, aux.loss_ce: 0.0899, aux.acc_seg: 71.8950, loss: 0.2611 +2022-03-14 17:27:44,633 - mmseg - INFO - Iter [73500/160000] lr: 7.762e-07, eta: 21:05:23, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1592, decode.acc_seg: 73.0882, aux.loss_ce: 0.0824, aux.acc_seg: 72.0053, loss: 0.2416 +2022-03-14 17:28:27,899 - mmseg - INFO - Iter [73550/160000] lr: 7.758e-07, eta: 21:04:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1712, decode.acc_seg: 75.6185, aux.loss_ce: 0.0924, aux.acc_seg: 74.0851, loss: 0.2636 +2022-03-14 17:29:11,052 - mmseg - INFO - Iter [73600/160000] lr: 7.753e-07, eta: 21:03:53, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1634, decode.acc_seg: 76.0303, aux.loss_ce: 0.0868, aux.acc_seg: 74.7431, loss: 0.2502 +2022-03-14 17:29:54,276 - mmseg - INFO - Iter [73650/160000] lr: 7.749e-07, eta: 21:03:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1736, decode.acc_seg: 75.8157, aux.loss_ce: 0.0930, aux.acc_seg: 74.4245, loss: 0.2666 +2022-03-14 17:30:37,734 - mmseg - INFO - Iter [73700/160000] lr: 7.744e-07, eta: 21:02:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1626, decode.acc_seg: 75.4811, aux.loss_ce: 0.0879, aux.acc_seg: 74.1456, loss: 0.2505 +2022-03-14 17:31:21,140 - mmseg - INFO - Iter [73750/160000] lr: 7.740e-07, eta: 21:01:40, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1670, decode.acc_seg: 75.7655, aux.loss_ce: 0.0882, aux.acc_seg: 74.5118, loss: 0.2552 +2022-03-14 17:32:04,446 - mmseg - INFO - Iter [73800/160000] lr: 7.735e-07, eta: 21:00:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1641, decode.acc_seg: 74.8661, aux.loss_ce: 0.0862, aux.acc_seg: 73.5936, loss: 0.2503 +2022-03-14 17:32:47,577 - mmseg - INFO - Iter [73850/160000] lr: 7.731e-07, eta: 21:00:11, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1584, decode.acc_seg: 75.0226, aux.loss_ce: 0.0820, aux.acc_seg: 73.8670, loss: 0.2404 +2022-03-14 17:33:31,076 - mmseg - INFO - Iter [73900/160000] lr: 7.726e-07, eta: 20:59:26, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 75.4368, aux.loss_ce: 0.0881, aux.acc_seg: 74.1448, loss: 0.2561 +2022-03-14 17:34:14,638 - mmseg - INFO - Iter [73950/160000] lr: 7.722e-07, eta: 20:58:42, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1745, decode.acc_seg: 75.9579, aux.loss_ce: 0.0911, aux.acc_seg: 74.6797, loss: 0.2656 +2022-03-14 17:34:58,171 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 17:34:58,174 - mmseg - INFO - Iter [74000/160000] lr: 7.717e-07, eta: 20:57:58, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1635, decode.acc_seg: 74.7269, aux.loss_ce: 0.0843, aux.acc_seg: 73.5794, loss: 0.2478 +2022-03-14 17:35:41,448 - mmseg - INFO - Iter [74050/160000] lr: 7.713e-07, eta: 20:57:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1602, decode.acc_seg: 75.6972, aux.loss_ce: 0.0820, aux.acc_seg: 74.6928, loss: 0.2422 +2022-03-14 17:36:24,678 - mmseg - INFO - Iter [74100/160000] lr: 7.709e-07, eta: 20:56:28, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1725, decode.acc_seg: 74.4415, aux.loss_ce: 0.0925, aux.acc_seg: 73.1192, loss: 0.2650 +2022-03-14 17:37:08,060 - mmseg - INFO - Iter [74150/160000] lr: 7.704e-07, eta: 20:55:44, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1708, decode.acc_seg: 74.2136, aux.loss_ce: 0.0893, aux.acc_seg: 72.9963, loss: 0.2601 +2022-03-14 17:37:51,380 - mmseg - INFO - Iter [74200/160000] lr: 7.700e-07, eta: 20:54:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1728, decode.acc_seg: 74.7824, aux.loss_ce: 0.0912, aux.acc_seg: 73.4582, loss: 0.2640 +2022-03-14 17:38:34,982 - mmseg - INFO - Iter [74250/160000] lr: 7.695e-07, eta: 20:54:15, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1670, decode.acc_seg: 74.7636, aux.loss_ce: 0.0872, aux.acc_seg: 73.5630, loss: 0.2542 +2022-03-14 17:39:18,585 - mmseg - INFO - Iter [74300/160000] lr: 7.691e-07, eta: 20:53:31, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1657, decode.acc_seg: 74.8178, aux.loss_ce: 0.0881, aux.acc_seg: 73.4123, loss: 0.2539 +2022-03-14 17:40:02,078 - mmseg - INFO - Iter [74350/160000] lr: 7.686e-07, eta: 20:52:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1611, decode.acc_seg: 75.9914, aux.loss_ce: 0.0862, aux.acc_seg: 74.6207, loss: 0.2472 +2022-03-14 17:40:45,422 - mmseg - INFO - Iter [74400/160000] lr: 7.682e-07, eta: 20:52:02, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1725, decode.acc_seg: 74.6192, aux.loss_ce: 0.0925, aux.acc_seg: 73.2048, loss: 0.2649 +2022-03-14 17:41:28,670 - mmseg - INFO - Iter [74450/160000] lr: 7.677e-07, eta: 20:51:18, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1734, decode.acc_seg: 75.8056, aux.loss_ce: 0.0902, aux.acc_seg: 74.5422, loss: 0.2636 +2022-03-14 17:42:12,134 - mmseg - INFO - Iter [74500/160000] lr: 7.673e-07, eta: 20:50:33, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1638, decode.acc_seg: 75.0117, aux.loss_ce: 0.0845, aux.acc_seg: 73.8992, loss: 0.2483 +2022-03-14 17:42:57,938 - mmseg - INFO - Iter [74550/160000] lr: 7.668e-07, eta: 20:49:52, time: 0.916, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1655, decode.acc_seg: 76.0726, aux.loss_ce: 0.0876, aux.acc_seg: 74.7940, loss: 0.2531 +2022-03-14 17:43:41,382 - mmseg - INFO - Iter [74600/160000] lr: 7.664e-07, eta: 20:49:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1570, decode.acc_seg: 74.8258, aux.loss_ce: 0.0827, aux.acc_seg: 73.7275, loss: 0.2397 +2022-03-14 17:44:24,703 - mmseg - INFO - Iter [74650/160000] lr: 7.659e-07, eta: 20:48:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1610, decode.acc_seg: 74.1686, aux.loss_ce: 0.0849, aux.acc_seg: 72.8983, loss: 0.2458 +2022-03-14 17:45:08,161 - mmseg - INFO - Iter [74700/160000] lr: 7.655e-07, eta: 20:47:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1643, decode.acc_seg: 76.4419, aux.loss_ce: 0.0859, aux.acc_seg: 75.2245, loss: 0.2502 +2022-03-14 17:45:51,613 - mmseg - INFO - Iter [74750/160000] lr: 7.650e-07, eta: 20:46:54, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1567, decode.acc_seg: 72.9740, aux.loss_ce: 0.0841, aux.acc_seg: 71.6703, loss: 0.2408 +2022-03-14 17:46:34,903 - mmseg - INFO - Iter [74800/160000] lr: 7.646e-07, eta: 20:46:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1642, decode.acc_seg: 76.9315, aux.loss_ce: 0.0859, aux.acc_seg: 75.7317, loss: 0.2501 +2022-03-14 17:47:18,255 - mmseg - INFO - Iter [74850/160000] lr: 7.641e-07, eta: 20:45:25, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 74.4333, aux.loss_ce: 0.0910, aux.acc_seg: 73.0213, loss: 0.2589 +2022-03-14 17:48:01,418 - mmseg - INFO - Iter [74900/160000] lr: 7.637e-07, eta: 20:44:40, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1689, decode.acc_seg: 75.7549, aux.loss_ce: 0.0882, aux.acc_seg: 74.5677, loss: 0.2571 +2022-03-14 17:48:44,805 - mmseg - INFO - Iter [74950/160000] lr: 7.632e-07, eta: 20:43:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1589, decode.acc_seg: 73.8110, aux.loss_ce: 0.0819, aux.acc_seg: 72.6545, loss: 0.2409 +2022-03-14 17:49:28,237 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 17:49:28,239 - mmseg - INFO - Iter [75000/160000] lr: 7.628e-07, eta: 20:43:11, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1620, decode.acc_seg: 74.5779, aux.loss_ce: 0.0854, aux.acc_seg: 73.2654, loss: 0.2473 +2022-03-14 17:50:11,565 - mmseg - INFO - Iter [75050/160000] lr: 7.623e-07, eta: 20:42:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1613, decode.acc_seg: 75.6958, aux.loss_ce: 0.0866, aux.acc_seg: 74.5346, loss: 0.2479 +2022-03-14 17:50:55,190 - mmseg - INFO - Iter [75100/160000] lr: 7.619e-07, eta: 20:41:43, time: 0.874, data_time: 0.008, memory: 73034, decode.loss_ce: 0.1786, decode.acc_seg: 74.6213, aux.loss_ce: 0.0924, aux.acc_seg: 73.2764, loss: 0.2710 +2022-03-14 17:51:38,705 - mmseg - INFO - Iter [75150/160000] lr: 7.614e-07, eta: 20:40:58, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1670, decode.acc_seg: 75.8207, aux.loss_ce: 0.0891, aux.acc_seg: 74.3587, loss: 0.2562 +2022-03-14 17:52:22,175 - mmseg - INFO - Iter [75200/160000] lr: 7.610e-07, eta: 20:40:14, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1614, decode.acc_seg: 75.8206, aux.loss_ce: 0.0860, aux.acc_seg: 74.4361, loss: 0.2473 +2022-03-14 17:53:05,444 - mmseg - INFO - Iter [75250/160000] lr: 7.605e-07, eta: 20:39:30, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1713, decode.acc_seg: 73.3015, aux.loss_ce: 0.0900, aux.acc_seg: 72.0217, loss: 0.2613 +2022-03-14 17:53:48,733 - mmseg - INFO - Iter [75300/160000] lr: 7.601e-07, eta: 20:38:45, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1634, decode.acc_seg: 74.6253, aux.loss_ce: 0.0864, aux.acc_seg: 73.3493, loss: 0.2498 +2022-03-14 17:54:31,914 - mmseg - INFO - Iter [75350/160000] lr: 7.596e-07, eta: 20:38:00, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1744, decode.acc_seg: 74.7019, aux.loss_ce: 0.0920, aux.acc_seg: 73.3325, loss: 0.2664 +2022-03-14 17:55:15,398 - mmseg - INFO - Iter [75400/160000] lr: 7.592e-07, eta: 20:37:16, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1677, decode.acc_seg: 75.3982, aux.loss_ce: 0.0897, aux.acc_seg: 74.0389, loss: 0.2574 +2022-03-14 17:55:58,673 - mmseg - INFO - Iter [75450/160000] lr: 7.587e-07, eta: 20:36:31, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1691, decode.acc_seg: 75.6610, aux.loss_ce: 0.0894, aux.acc_seg: 74.2407, loss: 0.2585 +2022-03-14 17:56:42,077 - mmseg - INFO - Iter [75500/160000] lr: 7.583e-07, eta: 20:35:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1697, decode.acc_seg: 75.4893, aux.loss_ce: 0.0892, aux.acc_seg: 74.1425, loss: 0.2588 +2022-03-14 17:57:25,451 - mmseg - INFO - Iter [75550/160000] lr: 7.578e-07, eta: 20:35:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1721, decode.acc_seg: 74.0171, aux.loss_ce: 0.0901, aux.acc_seg: 72.8522, loss: 0.2622 +2022-03-14 17:58:09,071 - mmseg - INFO - Iter [75600/160000] lr: 7.574e-07, eta: 20:34:18, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1741, decode.acc_seg: 75.5377, aux.loss_ce: 0.0911, aux.acc_seg: 74.2560, loss: 0.2652 +2022-03-14 17:58:52,562 - mmseg - INFO - Iter [75650/160000] lr: 7.569e-07, eta: 20:33:34, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1790, decode.acc_seg: 75.5092, aux.loss_ce: 0.0919, aux.acc_seg: 74.3881, loss: 0.2709 +2022-03-14 17:59:35,925 - mmseg - INFO - Iter [75700/160000] lr: 7.565e-07, eta: 20:32:50, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1775, decode.acc_seg: 74.7163, aux.loss_ce: 0.0929, aux.acc_seg: 73.4462, loss: 0.2704 +2022-03-14 18:00:19,266 - mmseg - INFO - Iter [75750/160000] lr: 7.560e-07, eta: 20:32:05, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1722, decode.acc_seg: 74.3542, aux.loss_ce: 0.0910, aux.acc_seg: 73.0210, loss: 0.2633 +2022-03-14 18:01:04,961 - mmseg - INFO - Iter [75800/160000] lr: 7.556e-07, eta: 20:31:23, time: 0.914, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 76.4062, aux.loss_ce: 0.0864, aux.acc_seg: 75.3405, loss: 0.2543 +2022-03-14 18:01:48,560 - mmseg - INFO - Iter [75850/160000] lr: 7.551e-07, eta: 20:30:39, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1646, decode.acc_seg: 76.1685, aux.loss_ce: 0.0866, aux.acc_seg: 74.9973, loss: 0.2512 +2022-03-14 18:02:31,971 - mmseg - INFO - Iter [75900/160000] lr: 7.547e-07, eta: 20:29:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1698, decode.acc_seg: 75.7434, aux.loss_ce: 0.0876, aux.acc_seg: 74.6460, loss: 0.2574 +2022-03-14 18:03:15,530 - mmseg - INFO - Iter [75950/160000] lr: 7.543e-07, eta: 20:29:11, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1637, decode.acc_seg: 75.1196, aux.loss_ce: 0.0871, aux.acc_seg: 73.8586, loss: 0.2508 +2022-03-14 18:03:58,994 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 18:03:58,996 - mmseg - INFO - Iter [76000/160000] lr: 7.538e-07, eta: 20:28:26, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1628, decode.acc_seg: 74.3005, aux.loss_ce: 0.0867, aux.acc_seg: 72.9863, loss: 0.2495 +2022-03-14 18:04:42,638 - mmseg - INFO - Iter [76050/160000] lr: 7.534e-07, eta: 20:27:42, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1548, decode.acc_seg: 74.7773, aux.loss_ce: 0.0824, aux.acc_seg: 73.5661, loss: 0.2373 +2022-03-14 18:05:25,974 - mmseg - INFO - Iter [76100/160000] lr: 7.529e-07, eta: 20:26:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1653, decode.acc_seg: 74.4558, aux.loss_ce: 0.0871, aux.acc_seg: 73.1779, loss: 0.2525 +2022-03-14 18:06:09,332 - mmseg - INFO - Iter [76150/160000] lr: 7.525e-07, eta: 20:26:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1713, decode.acc_seg: 75.9253, aux.loss_ce: 0.0917, aux.acc_seg: 74.4728, loss: 0.2631 +2022-03-14 18:06:52,585 - mmseg - INFO - Iter [76200/160000] lr: 7.520e-07, eta: 20:25:29, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 76.3353, aux.loss_ce: 0.0859, aux.acc_seg: 75.0981, loss: 0.2498 +2022-03-14 18:07:35,842 - mmseg - INFO - Iter [76250/160000] lr: 7.516e-07, eta: 20:24:44, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1776, decode.acc_seg: 75.4036, aux.loss_ce: 0.0934, aux.acc_seg: 74.0803, loss: 0.2711 +2022-03-14 18:08:19,167 - mmseg - INFO - Iter [76300/160000] lr: 7.511e-07, eta: 20:24:00, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 74.9425, aux.loss_ce: 0.0866, aux.acc_seg: 73.7672, loss: 0.2505 +2022-03-14 18:09:02,487 - mmseg - INFO - Iter [76350/160000] lr: 7.507e-07, eta: 20:23:15, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1625, decode.acc_seg: 73.9671, aux.loss_ce: 0.0863, aux.acc_seg: 72.6515, loss: 0.2488 +2022-03-14 18:09:45,883 - mmseg - INFO - Iter [76400/160000] lr: 7.502e-07, eta: 20:22:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1580, decode.acc_seg: 74.8450, aux.loss_ce: 0.0830, aux.acc_seg: 73.6759, loss: 0.2409 +2022-03-14 18:10:29,424 - mmseg - INFO - Iter [76450/160000] lr: 7.498e-07, eta: 20:21:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1686, decode.acc_seg: 75.5383, aux.loss_ce: 0.0878, aux.acc_seg: 74.2983, loss: 0.2564 +2022-03-14 18:11:12,902 - mmseg - INFO - Iter [76500/160000] lr: 7.493e-07, eta: 20:21:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1609, decode.acc_seg: 75.2101, aux.loss_ce: 0.0864, aux.acc_seg: 73.9093, loss: 0.2472 +2022-03-14 18:11:56,201 - mmseg - INFO - Iter [76550/160000] lr: 7.489e-07, eta: 20:20:18, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1721, decode.acc_seg: 76.3621, aux.loss_ce: 0.0913, aux.acc_seg: 75.0108, loss: 0.2634 +2022-03-14 18:12:39,457 - mmseg - INFO - Iter [76600/160000] lr: 7.484e-07, eta: 20:19:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1614, decode.acc_seg: 74.3685, aux.loss_ce: 0.0854, aux.acc_seg: 73.1162, loss: 0.2468 +2022-03-14 18:13:22,750 - mmseg - INFO - Iter [76650/160000] lr: 7.480e-07, eta: 20:18:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1644, decode.acc_seg: 73.1148, aux.loss_ce: 0.0869, aux.acc_seg: 71.8065, loss: 0.2513 +2022-03-14 18:14:06,263 - mmseg - INFO - Iter [76700/160000] lr: 7.475e-07, eta: 20:18:05, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1694, decode.acc_seg: 75.8782, aux.loss_ce: 0.0911, aux.acc_seg: 74.4747, loss: 0.2605 +2022-03-14 18:14:49,766 - mmseg - INFO - Iter [76750/160000] lr: 7.471e-07, eta: 20:17:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1659, decode.acc_seg: 74.8967, aux.loss_ce: 0.0860, aux.acc_seg: 73.5979, loss: 0.2520 +2022-03-14 18:15:33,310 - mmseg - INFO - Iter [76800/160000] lr: 7.466e-07, eta: 20:16:36, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1661, decode.acc_seg: 75.5435, aux.loss_ce: 0.0882, aux.acc_seg: 74.1730, loss: 0.2543 +2022-03-14 18:16:16,931 - mmseg - INFO - Iter [76850/160000] lr: 7.462e-07, eta: 20:15:52, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1604, decode.acc_seg: 75.9191, aux.loss_ce: 0.0847, aux.acc_seg: 74.6560, loss: 0.2451 +2022-03-14 18:17:00,195 - mmseg - INFO - Iter [76900/160000] lr: 7.457e-07, eta: 20:15:07, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1650, decode.acc_seg: 74.4380, aux.loss_ce: 0.0878, aux.acc_seg: 73.1308, loss: 0.2527 +2022-03-14 18:17:43,723 - mmseg - INFO - Iter [76950/160000] lr: 7.453e-07, eta: 20:14:23, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1673, decode.acc_seg: 74.9962, aux.loss_ce: 0.0865, aux.acc_seg: 73.7862, loss: 0.2538 +2022-03-14 18:18:27,013 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 18:18:27,016 - mmseg - INFO - Iter [77000/160000] lr: 7.448e-07, eta: 20:13:39, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1620, decode.acc_seg: 76.1517, aux.loss_ce: 0.0868, aux.acc_seg: 74.7430, loss: 0.2488 +2022-03-14 18:19:13,061 - mmseg - INFO - Iter [77050/160000] lr: 7.444e-07, eta: 20:12:57, time: 0.921, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1558, decode.acc_seg: 74.6895, aux.loss_ce: 0.0834, aux.acc_seg: 73.4268, loss: 0.2391 +2022-03-14 18:19:56,250 - mmseg - INFO - Iter [77100/160000] lr: 7.439e-07, eta: 20:12:13, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1567, decode.acc_seg: 75.6229, aux.loss_ce: 0.0843, aux.acc_seg: 74.3778, loss: 0.2410 +2022-03-14 18:20:39,756 - mmseg - INFO - Iter [77150/160000] lr: 7.435e-07, eta: 20:11:28, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1652, decode.acc_seg: 75.2042, aux.loss_ce: 0.0871, aux.acc_seg: 73.9503, loss: 0.2522 +2022-03-14 18:21:22,895 - mmseg - INFO - Iter [77200/160000] lr: 7.430e-07, eta: 20:10:44, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1609, decode.acc_seg: 73.8523, aux.loss_ce: 0.0858, aux.acc_seg: 72.6646, loss: 0.2467 +2022-03-14 18:22:06,386 - mmseg - INFO - Iter [77250/160000] lr: 7.426e-07, eta: 20:09:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1631, decode.acc_seg: 73.8638, aux.loss_ce: 0.0866, aux.acc_seg: 72.5439, loss: 0.2497 +2022-03-14 18:22:49,824 - mmseg - INFO - Iter [77300/160000] lr: 7.421e-07, eta: 20:09:15, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1535, decode.acc_seg: 74.2927, aux.loss_ce: 0.0819, aux.acc_seg: 73.0301, loss: 0.2354 +2022-03-14 18:23:33,249 - mmseg - INFO - Iter [77350/160000] lr: 7.417e-07, eta: 20:08:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1588, decode.acc_seg: 76.8438, aux.loss_ce: 0.0827, aux.acc_seg: 75.6852, loss: 0.2416 +2022-03-14 18:24:16,756 - mmseg - INFO - Iter [77400/160000] lr: 7.412e-07, eta: 20:07:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 74.9955, aux.loss_ce: 0.0872, aux.acc_seg: 73.7146, loss: 0.2511 +2022-03-14 18:25:00,160 - mmseg - INFO - Iter [77450/160000] lr: 7.408e-07, eta: 20:07:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1687, decode.acc_seg: 75.2846, aux.loss_ce: 0.0903, aux.acc_seg: 73.9012, loss: 0.2590 +2022-03-14 18:25:43,416 - mmseg - INFO - Iter [77500/160000] lr: 7.403e-07, eta: 20:06:18, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1565, decode.acc_seg: 74.2153, aux.loss_ce: 0.0852, aux.acc_seg: 72.8790, loss: 0.2417 +2022-03-14 18:26:26,715 - mmseg - INFO - Iter [77550/160000] lr: 7.399e-07, eta: 20:05:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1685, decode.acc_seg: 76.2689, aux.loss_ce: 0.0892, aux.acc_seg: 74.9288, loss: 0.2576 +2022-03-14 18:27:10,136 - mmseg - INFO - Iter [77600/160000] lr: 7.394e-07, eta: 20:04:49, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1587, decode.acc_seg: 74.6473, aux.loss_ce: 0.0840, aux.acc_seg: 73.4423, loss: 0.2427 +2022-03-14 18:27:53,465 - mmseg - INFO - Iter [77650/160000] lr: 7.390e-07, eta: 20:04:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1635, decode.acc_seg: 75.2468, aux.loss_ce: 0.0859, aux.acc_seg: 74.0451, loss: 0.2493 +2022-03-14 18:28:36,643 - mmseg - INFO - Iter [77700/160000] lr: 7.385e-07, eta: 20:03:20, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1638, decode.acc_seg: 74.8650, aux.loss_ce: 0.0862, aux.acc_seg: 73.6560, loss: 0.2500 +2022-03-14 18:29:20,264 - mmseg - INFO - Iter [77750/160000] lr: 7.381e-07, eta: 20:02:36, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 75.4646, aux.loss_ce: 0.0865, aux.acc_seg: 74.1882, loss: 0.2504 +2022-03-14 18:30:03,874 - mmseg - INFO - Iter [77800/160000] lr: 7.376e-07, eta: 20:01:51, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1563, decode.acc_seg: 75.3400, aux.loss_ce: 0.0823, aux.acc_seg: 74.1584, loss: 0.2386 +2022-03-14 18:30:47,380 - mmseg - INFO - Iter [77850/160000] lr: 7.372e-07, eta: 20:01:07, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1645, decode.acc_seg: 75.1278, aux.loss_ce: 0.0869, aux.acc_seg: 73.7837, loss: 0.2514 +2022-03-14 18:31:30,790 - mmseg - INFO - Iter [77900/160000] lr: 7.368e-07, eta: 20:00:23, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1612, decode.acc_seg: 74.6300, aux.loss_ce: 0.0847, aux.acc_seg: 73.4183, loss: 0.2459 +2022-03-14 18:32:14,551 - mmseg - INFO - Iter [77950/160000] lr: 7.363e-07, eta: 19:59:39, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1712, decode.acc_seg: 75.4170, aux.loss_ce: 0.0910, aux.acc_seg: 74.1395, loss: 0.2622 +2022-03-14 18:32:57,985 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 18:32:57,986 - mmseg - INFO - Iter [78000/160000] lr: 7.359e-07, eta: 19:58:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1625, decode.acc_seg: 75.8925, aux.loss_ce: 0.0869, aux.acc_seg: 74.6251, loss: 0.2494 +2022-03-14 18:33:41,226 - mmseg - INFO - Iter [78050/160000] lr: 7.354e-07, eta: 19:58:10, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1631, decode.acc_seg: 76.0851, aux.loss_ce: 0.0873, aux.acc_seg: 74.7093, loss: 0.2504 +2022-03-14 18:34:24,615 - mmseg - INFO - Iter [78100/160000] lr: 7.350e-07, eta: 19:57:26, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1626, decode.acc_seg: 75.9900, aux.loss_ce: 0.0859, aux.acc_seg: 74.7572, loss: 0.2485 +2022-03-14 18:35:07,794 - mmseg - INFO - Iter [78150/160000] lr: 7.345e-07, eta: 19:56:41, time: 0.864, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1687, decode.acc_seg: 74.8985, aux.loss_ce: 0.0888, aux.acc_seg: 73.5146, loss: 0.2575 +2022-03-14 18:35:51,198 - mmseg - INFO - Iter [78200/160000] lr: 7.341e-07, eta: 19:55:57, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1630, decode.acc_seg: 75.9783, aux.loss_ce: 0.0843, aux.acc_seg: 74.8204, loss: 0.2472 +2022-03-14 18:36:34,338 - mmseg - INFO - Iter [78250/160000] lr: 7.336e-07, eta: 19:55:12, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1640, decode.acc_seg: 75.2324, aux.loss_ce: 0.0863, aux.acc_seg: 73.9393, loss: 0.2503 +2022-03-14 18:37:17,678 - mmseg - INFO - Iter [78300/160000] lr: 7.332e-07, eta: 19:54:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1740, decode.acc_seg: 74.2988, aux.loss_ce: 0.0902, aux.acc_seg: 73.0941, loss: 0.2642 +2022-03-14 18:38:03,407 - mmseg - INFO - Iter [78350/160000] lr: 7.327e-07, eta: 19:53:46, time: 0.914, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1518, decode.acc_seg: 76.3106, aux.loss_ce: 0.0810, aux.acc_seg: 75.1025, loss: 0.2328 +2022-03-14 18:38:46,735 - mmseg - INFO - Iter [78400/160000] lr: 7.323e-07, eta: 19:53:01, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1701, decode.acc_seg: 74.5188, aux.loss_ce: 0.0909, aux.acc_seg: 73.1843, loss: 0.2610 +2022-03-14 18:39:30,038 - mmseg - INFO - Iter [78450/160000] lr: 7.318e-07, eta: 19:52:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1664, decode.acc_seg: 76.6920, aux.loss_ce: 0.0873, aux.acc_seg: 75.4121, loss: 0.2537 +2022-03-14 18:40:13,316 - mmseg - INFO - Iter [78500/160000] lr: 7.314e-07, eta: 19:51:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1702, decode.acc_seg: 75.5623, aux.loss_ce: 0.0905, aux.acc_seg: 74.1902, loss: 0.2607 +2022-03-14 18:40:57,132 - mmseg - INFO - Iter [78550/160000] lr: 7.309e-07, eta: 19:50:49, time: 0.877, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1623, decode.acc_seg: 75.1931, aux.loss_ce: 0.0859, aux.acc_seg: 73.9187, loss: 0.2482 +2022-03-14 18:41:40,592 - mmseg - INFO - Iter [78600/160000] lr: 7.305e-07, eta: 19:50:04, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1644, decode.acc_seg: 76.0072, aux.loss_ce: 0.0875, aux.acc_seg: 74.7032, loss: 0.2519 +2022-03-14 18:42:23,787 - mmseg - INFO - Iter [78650/160000] lr: 7.300e-07, eta: 19:49:20, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1596, decode.acc_seg: 75.5467, aux.loss_ce: 0.0856, aux.acc_seg: 74.3238, loss: 0.2452 +2022-03-14 18:43:07,284 - mmseg - INFO - Iter [78700/160000] lr: 7.296e-07, eta: 19:48:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1573, decode.acc_seg: 73.3142, aux.loss_ce: 0.0822, aux.acc_seg: 72.2401, loss: 0.2395 +2022-03-14 18:43:50,580 - mmseg - INFO - Iter [78750/160000] lr: 7.291e-07, eta: 19:47:51, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1516, decode.acc_seg: 76.2762, aux.loss_ce: 0.0809, aux.acc_seg: 74.9463, loss: 0.2325 +2022-03-14 18:44:33,803 - mmseg - INFO - Iter [78800/160000] lr: 7.287e-07, eta: 19:47:07, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1624, decode.acc_seg: 74.9663, aux.loss_ce: 0.0864, aux.acc_seg: 73.5989, loss: 0.2488 +2022-03-14 18:45:17,415 - mmseg - INFO - Iter [78850/160000] lr: 7.282e-07, eta: 19:46:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1717, decode.acc_seg: 74.9900, aux.loss_ce: 0.0913, aux.acc_seg: 73.6519, loss: 0.2630 +2022-03-14 18:46:00,719 - mmseg - INFO - Iter [78900/160000] lr: 7.278e-07, eta: 19:45:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1648, decode.acc_seg: 76.2047, aux.loss_ce: 0.0865, aux.acc_seg: 74.9550, loss: 0.2513 +2022-03-14 18:46:44,048 - mmseg - INFO - Iter [78950/160000] lr: 7.273e-07, eta: 19:44:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1768, decode.acc_seg: 76.3545, aux.loss_ce: 0.0921, aux.acc_seg: 75.0731, loss: 0.2689 +2022-03-14 18:47:27,365 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 18:47:27,369 - mmseg - INFO - Iter [79000/160000] lr: 7.269e-07, eta: 19:44:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1706, decode.acc_seg: 74.7737, aux.loss_ce: 0.0893, aux.acc_seg: 73.6248, loss: 0.2598 +2022-03-14 18:48:10,762 - mmseg - INFO - Iter [79050/160000] lr: 7.264e-07, eta: 19:43:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1649, decode.acc_seg: 75.3182, aux.loss_ce: 0.0857, aux.acc_seg: 74.1961, loss: 0.2506 +2022-03-14 18:48:54,075 - mmseg - INFO - Iter [79100/160000] lr: 7.260e-07, eta: 19:42:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 75.2636, aux.loss_ce: 0.0891, aux.acc_seg: 74.0401, loss: 0.2571 +2022-03-14 18:49:37,498 - mmseg - INFO - Iter [79150/160000] lr: 7.255e-07, eta: 19:41:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1583, decode.acc_seg: 75.3605, aux.loss_ce: 0.0825, aux.acc_seg: 74.3045, loss: 0.2408 +2022-03-14 18:50:20,873 - mmseg - INFO - Iter [79200/160000] lr: 7.251e-07, eta: 19:41:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1698, decode.acc_seg: 75.6860, aux.loss_ce: 0.0879, aux.acc_seg: 74.4503, loss: 0.2577 +2022-03-14 18:51:04,161 - mmseg - INFO - Iter [79250/160000] lr: 7.246e-07, eta: 19:40:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1647, decode.acc_seg: 74.9310, aux.loss_ce: 0.0881, aux.acc_seg: 73.7412, loss: 0.2527 +2022-03-14 18:51:47,707 - mmseg - INFO - Iter [79300/160000] lr: 7.242e-07, eta: 19:39:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1492, decode.acc_seg: 75.3266, aux.loss_ce: 0.0803, aux.acc_seg: 73.9793, loss: 0.2296 +2022-03-14 18:52:31,092 - mmseg - INFO - Iter [79350/160000] lr: 7.237e-07, eta: 19:38:59, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1622, decode.acc_seg: 74.6212, aux.loss_ce: 0.0861, aux.acc_seg: 73.2910, loss: 0.2483 +2022-03-14 18:53:14,681 - mmseg - INFO - Iter [79400/160000] lr: 7.233e-07, eta: 19:38:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1597, decode.acc_seg: 75.0743, aux.loss_ce: 0.0834, aux.acc_seg: 73.8336, loss: 0.2431 +2022-03-14 18:53:57,987 - mmseg - INFO - Iter [79450/160000] lr: 7.228e-07, eta: 19:37:30, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1679, decode.acc_seg: 74.9611, aux.loss_ce: 0.0870, aux.acc_seg: 73.7760, loss: 0.2549 +2022-03-14 18:54:41,245 - mmseg - INFO - Iter [79500/160000] lr: 7.224e-07, eta: 19:36:46, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1521, decode.acc_seg: 75.0580, aux.loss_ce: 0.0782, aux.acc_seg: 74.1301, loss: 0.2303 +2022-03-14 18:55:24,839 - mmseg - INFO - Iter [79550/160000] lr: 7.219e-07, eta: 19:36:02, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1657, decode.acc_seg: 74.4595, aux.loss_ce: 0.0884, aux.acc_seg: 73.1187, loss: 0.2542 +2022-03-14 18:56:10,852 - mmseg - INFO - Iter [79600/160000] lr: 7.215e-07, eta: 19:35:20, time: 0.918, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 75.6263, aux.loss_ce: 0.0838, aux.acc_seg: 74.3197, loss: 0.2393 +2022-03-14 18:56:54,177 - mmseg - INFO - Iter [79650/160000] lr: 7.210e-07, eta: 19:34:36, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1585, decode.acc_seg: 75.2538, aux.loss_ce: 0.0838, aux.acc_seg: 73.9529, loss: 0.2424 +2022-03-14 18:57:37,726 - mmseg - INFO - Iter [79700/160000] lr: 7.206e-07, eta: 19:33:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1620, decode.acc_seg: 74.9806, aux.loss_ce: 0.0865, aux.acc_seg: 73.5359, loss: 0.2485 +2022-03-14 18:58:21,184 - mmseg - INFO - Iter [79750/160000] lr: 7.202e-07, eta: 19:33:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1549, decode.acc_seg: 75.6761, aux.loss_ce: 0.0829, aux.acc_seg: 74.4004, loss: 0.2378 +2022-03-14 18:59:04,472 - mmseg - INFO - Iter [79800/160000] lr: 7.197e-07, eta: 19:32:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1626, decode.acc_seg: 75.8308, aux.loss_ce: 0.0859, aux.acc_seg: 74.5305, loss: 0.2484 +2022-03-14 18:59:47,835 - mmseg - INFO - Iter [79850/160000] lr: 7.193e-07, eta: 19:31:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 76.7499, aux.loss_ce: 0.0828, aux.acc_seg: 75.5607, loss: 0.2384 +2022-03-14 19:00:31,361 - mmseg - INFO - Iter [79900/160000] lr: 7.188e-07, eta: 19:30:54, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1705, decode.acc_seg: 75.2480, aux.loss_ce: 0.0884, aux.acc_seg: 74.0587, loss: 0.2590 +2022-03-14 19:01:14,690 - mmseg - INFO - Iter [79950/160000] lr: 7.184e-07, eta: 19:30:10, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1627, decode.acc_seg: 74.5775, aux.loss_ce: 0.0864, aux.acc_seg: 73.4270, loss: 0.2491 +2022-03-14 19:01:58,147 - mmseg - INFO - Saving checkpoint at 80000 iterations +2022-03-14 19:02:09,246 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 19:02:09,248 - mmseg - INFO - Iter [80000/160000] lr: 7.179e-07, eta: 19:29:37, time: 1.090, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1606, decode.acc_seg: 75.9192, aux.loss_ce: 0.0863, aux.acc_seg: 74.5964, loss: 0.2469 +2022-03-14 19:03:32,251 - mmseg - INFO - per class results: +2022-03-14 19:03:32,260 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.09 | 88.78 | +| building | 84.65 | 92.75 | +| sky | 94.74 | 97.64 | +| floor | 84.53 | 91.55 | +| tree | 76.48 | 87.7 | +| ceiling | 85.68 | 95.39 | +| road | 84.74 | 92.75 | +| bed | 92.31 | 97.37 | +| windowpane | 64.87 | 81.21 | +| grass | 67.89 | 84.8 | +| cabinet | 65.49 | 77.47 | +| sidewalk | 68.98 | 79.2 | +| person | 84.86 | 94.42 | +| earth | 37.22 | 48.84 | +| door | 57.55 | 71.24 | +| table | 69.47 | 81.17 | +| mountain | 59.52 | 69.79 | +| plant | 53.82 | 67.12 | +| curtain | 77.32 | 88.54 | +| chair | 64.44 | 77.53 | +| car | 87.5 | 94.04 | +| water | 62.44 | 77.14 | +| painting | 76.78 | 91.04 | +| sofa | 78.52 | 89.62 | +| shelf | 49.36 | 65.34 | +| house | 55.75 | 77.44 | +| sea | 71.52 | 81.05 | +| mirror | 75.75 | 82.52 | +| rug | 68.82 | 81.25 | +| field | 33.38 | 46.24 | +| armchair | 56.82 | 75.73 | +| seat | 64.27 | 88.35 | +| fence | 45.68 | 66.05 | +| desk | 55.49 | 79.77 | +| rock | 58.29 | 86.08 | +| wardrobe | 53.93 | 70.05 | +| lamp | 72.79 | 82.36 | +| bathtub | 85.72 | 89.81 | +| railing | 39.18 | 54.07 | +| cushion | 68.27 | 77.59 | +| base | 47.04 | 58.5 | +| box | 38.76 | 50.43 | +| column | 51.64 | 64.69 | +| signboard | 41.92 | 56.25 | +| chest of drawers | 42.25 | 57.66 | +| counter | 54.74 | 62.29 | +| sand | 58.19 | 84.28 | +| sink | 80.19 | 86.9 | +| skyscraper | 55.62 | 71.91 | +| fireplace | 79.8 | 93.1 | +| refrigerator | 78.76 | 88.58 | +| grandstand | 54.24 | 84.58 | +| path | 23.28 | 33.41 | +| stairs | 30.25 | 37.23 | +| runway | 71.53 | 94.57 | +| case | 62.02 | 85.66 | +| pool table | 94.83 | 96.66 | +| pillow | 68.68 | 81.66 | +| screen door | 79.58 | 82.93 | +| stairway | 38.71 | 51.43 | +| river | 10.05 | 24.56 | +| bridge | 72.86 | 85.81 | +| bookcase | 49.03 | 60.66 | +| blind | 40.13 | 41.75 | +| coffee table | 65.1 | 88.23 | +| toilet | 90.59 | 95.11 | +| flower | 50.28 | 66.34 | +| book | 53.18 | 74.4 | +| hill | 16.38 | 27.75 | +| bench | 52.09 | 61.83 | +| countertop | 62.32 | 83.01 | +| stove | 83.74 | 90.68 | +| palm | 53.22 | 84.62 | +| kitchen island | 48.08 | 77.7 | +| computer | 79.9 | 91.13 | +| swivel chair | 45.51 | 67.7 | +| boat | 78.33 | 88.79 | +| bar | 65.95 | 78.53 | +| arcade machine | 86.23 | 93.92 | +| hovel | 44.19 | 45.3 | +| bus | 92.39 | 96.89 | +| towel | 74.02 | 84.72 | +| light | 60.66 | 69.19 | +| truck | 49.55 | 66.36 | +| tower | 37.27 | 65.77 | +| chandelier | 72.7 | 86.26 | +| awning | 42.93 | 52.58 | +| streetlight | 34.7 | 45.38 | +| booth | 52.98 | 63.52 | +| television receiver | 78.02 | 90.67 | +| airplane | 67.88 | 75.98 | +| dirt track | 0.0 | 0.0 | +| apparel | 50.75 | 68.45 | +| pole | 28.21 | 37.72 | +| land | 1.04 | 1.36 | +| bannister | 16.13 | 21.27 | +| escalator | 57.43 | 86.59 | +| ottoman | 51.88 | 70.56 | +| bottle | 42.39 | 67.57 | +| buffet | 54.93 | 62.53 | +| poster | 39.29 | 51.7 | +| stage | 21.82 | 46.75 | +| van | 42.05 | 61.72 | +| ship | 51.47 | 62.09 | +| fountain | 41.8 | 42.74 | +| conveyer belt | 79.73 | 96.02 | +| canopy | 47.55 | 65.83 | +| washer | 90.71 | 96.93 | +| plaything | 42.29 | 68.83 | +| swimming pool | 54.61 | 90.23 | +| stool | 56.34 | 66.29 | +| barrel | 66.78 | 83.89 | +| basket | 44.55 | 58.26 | +| waterfall | 52.06 | 60.35 | +| tent | 90.85 | 99.2 | +| bag | 22.82 | 26.83 | +| minibike | 75.87 | 91.36 | +| cradle | 84.18 | 97.83 | +| oven | 54.74 | 67.79 | +| ball | 61.03 | 69.57 | +| food | 54.91 | 70.06 | +| step | 17.78 | 22.09 | +| tank | 60.95 | 67.33 | +| trade name | 25.59 | 29.28 | +| microwave | 83.67 | 93.89 | +| pot | 55.04 | 64.1 | +| animal | 58.79 | 59.94 | +| bicycle | 61.97 | 79.54 | +| lake | 54.6 | 63.82 | +| dishwasher | 75.2 | 77.35 | +| screen | 54.27 | 72.08 | +| blanket | 25.81 | 30.26 | +| sculpture | 80.42 | 87.87 | +| hood | 60.32 | 74.06 | +| sconce | 58.23 | 70.49 | +| vase | 47.58 | 63.99 | +| traffic light | 42.55 | 61.64 | +| tray | 21.49 | 27.23 | +| ashcan | 49.77 | 69.32 | +| fan | 69.29 | 78.42 | +| pier | 60.8 | 79.12 | +| crt screen | 9.5 | 23.01 | +| plate | 61.29 | 78.64 | +| monitor | 26.25 | 30.94 | +| bulletin board | 49.88 | 58.74 | +| shower | 12.75 | 13.52 | +| radiator | 66.82 | 77.07 | +| glass | 22.22 | 23.86 | +| clock | 48.96 | 63.25 | +| flag | 40.36 | 45.68 | ++---------------------+-------+-------+ +2022-03-14 19:03:32,260 - mmseg - INFO - Summary: +2022-03-14 19:03:32,261 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 85.65 | 57.06 | 69.64 | ++-------+-------+-------+ +2022-03-14 19:03:32,266 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 19:03:32,267 - mmseg - INFO - Iter(val) [250] aAcc: 0.8565, mIoU: 0.5706, mAcc: 0.6964, IoU.wall: 0.8109, IoU.building: 0.8465, IoU.sky: 0.9474, IoU.floor: 0.8453, IoU.tree: 0.7648, IoU.ceiling: 0.8568, IoU.road: 0.8474, IoU.bed : 0.9231, IoU.windowpane: 0.6487, IoU.grass: 0.6789, IoU.cabinet: 0.6549, IoU.sidewalk: 0.6898, IoU.person: 0.8486, IoU.earth: 0.3722, IoU.door: 0.5755, IoU.table: 0.6947, IoU.mountain: 0.5952, IoU.plant: 0.5382, IoU.curtain: 0.7732, IoU.chair: 0.6444, IoU.car: 0.8750, IoU.water: 0.6244, IoU.painting: 0.7678, IoU.sofa: 0.7852, IoU.shelf: 0.4936, IoU.house: 0.5575, IoU.sea: 0.7152, IoU.mirror: 0.7575, IoU.rug: 0.6882, IoU.field: 0.3338, IoU.armchair: 0.5682, IoU.seat: 0.6427, IoU.fence: 0.4568, IoU.desk: 0.5549, IoU.rock: 0.5829, IoU.wardrobe: 0.5393, IoU.lamp: 0.7279, IoU.bathtub: 0.8572, IoU.railing: 0.3918, IoU.cushion: 0.6827, IoU.base: 0.4704, IoU.box: 0.3876, IoU.column: 0.5164, IoU.signboard: 0.4192, IoU.chest of drawers: 0.4225, IoU.counter: 0.5474, IoU.sand: 0.5819, IoU.sink: 0.8019, IoU.skyscraper: 0.5562, IoU.fireplace: 0.7980, IoU.refrigerator: 0.7876, IoU.grandstand: 0.5424, IoU.path: 0.2328, IoU.stairs: 0.3025, IoU.runway: 0.7153, IoU.case: 0.6202, IoU.pool table: 0.9483, IoU.pillow: 0.6868, IoU.screen door: 0.7958, IoU.stairway: 0.3871, IoU.river: 0.1005, IoU.bridge: 0.7286, IoU.bookcase: 0.4903, IoU.blind: 0.4013, IoU.coffee table: 0.6510, IoU.toilet: 0.9059, IoU.flower: 0.5028, IoU.book: 0.5318, IoU.hill: 0.1638, IoU.bench: 0.5209, IoU.countertop: 0.6232, IoU.stove: 0.8374, IoU.palm: 0.5322, IoU.kitchen island: 0.4808, IoU.computer: 0.7990, IoU.swivel chair: 0.4551, IoU.boat: 0.7833, IoU.bar: 0.6595, IoU.arcade machine: 0.8623, IoU.hovel: 0.4419, IoU.bus: 0.9239, IoU.towel: 0.7402, IoU.light: 0.6066, IoU.truck: 0.4955, IoU.tower: 0.3727, IoU.chandelier: 0.7270, IoU.awning: 0.4293, IoU.streetlight: 0.3470, IoU.booth: 0.5298, IoU.television receiver: 0.7802, IoU.airplane: 0.6788, IoU.dirt track: 0.0000, IoU.apparel: 0.5075, IoU.pole: 0.2821, IoU.land: 0.0104, IoU.bannister: 0.1613, IoU.escalator: 0.5743, IoU.ottoman: 0.5188, IoU.bottle: 0.4239, IoU.buffet: 0.5493, IoU.poster: 0.3929, IoU.stage: 0.2182, IoU.van: 0.4205, IoU.ship: 0.5147, IoU.fountain: 0.4180, IoU.conveyer belt: 0.7973, IoU.canopy: 0.4755, IoU.washer: 0.9071, IoU.plaything: 0.4229, IoU.swimming pool: 0.5461, IoU.stool: 0.5634, IoU.barrel: 0.6678, IoU.basket: 0.4455, IoU.waterfall: 0.5206, IoU.tent: 0.9085, IoU.bag: 0.2282, IoU.minibike: 0.7587, IoU.cradle: 0.8418, IoU.oven: 0.5474, IoU.ball: 0.6103, IoU.food: 0.5491, IoU.step: 0.1778, IoU.tank: 0.6095, IoU.trade name: 0.2559, IoU.microwave: 0.8367, IoU.pot: 0.5504, IoU.animal: 0.5879, IoU.bicycle: 0.6197, IoU.lake: 0.5460, IoU.dishwasher: 0.7520, IoU.screen: 0.5427, IoU.blanket: 0.2581, IoU.sculpture: 0.8042, IoU.hood: 0.6032, IoU.sconce: 0.5823, IoU.vase: 0.4758, IoU.traffic light: 0.4255, IoU.tray: 0.2149, IoU.ashcan: 0.4977, IoU.fan: 0.6929, IoU.pier: 0.6080, IoU.crt screen: 0.0950, IoU.plate: 0.6129, IoU.monitor: 0.2625, IoU.bulletin board: 0.4988, IoU.shower: 0.1275, IoU.radiator: 0.6682, IoU.glass: 0.2222, IoU.clock: 0.4896, IoU.flag: 0.4036, Acc.wall: 0.8878, Acc.building: 0.9275, Acc.sky: 0.9764, Acc.floor: 0.9155, Acc.tree: 0.8770, Acc.ceiling: 0.9539, Acc.road: 0.9275, Acc.bed : 0.9737, Acc.windowpane: 0.8121, Acc.grass: 0.8480, Acc.cabinet: 0.7747, Acc.sidewalk: 0.7920, Acc.person: 0.9442, Acc.earth: 0.4884, Acc.door: 0.7124, Acc.table: 0.8117, Acc.mountain: 0.6979, Acc.plant: 0.6712, Acc.curtain: 0.8854, Acc.chair: 0.7753, Acc.car: 0.9404, Acc.water: 0.7714, Acc.painting: 0.9104, Acc.sofa: 0.8962, Acc.shelf: 0.6534, Acc.house: 0.7744, Acc.sea: 0.8105, Acc.mirror: 0.8252, Acc.rug: 0.8125, Acc.field: 0.4624, Acc.armchair: 0.7573, Acc.seat: 0.8835, Acc.fence: 0.6605, Acc.desk: 0.7977, Acc.rock: 0.8608, Acc.wardrobe: 0.7005, Acc.lamp: 0.8236, Acc.bathtub: 0.8981, Acc.railing: 0.5407, Acc.cushion: 0.7759, Acc.base: 0.5850, Acc.box: 0.5043, Acc.column: 0.6469, Acc.signboard: 0.5625, Acc.chest of drawers: 0.5766, Acc.counter: 0.6229, Acc.sand: 0.8428, Acc.sink: 0.8690, Acc.skyscraper: 0.7191, Acc.fireplace: 0.9310, Acc.refrigerator: 0.8858, Acc.grandstand: 0.8458, Acc.path: 0.3341, Acc.stairs: 0.3723, Acc.runway: 0.9457, Acc.case: 0.8566, Acc.pool table: 0.9666, Acc.pillow: 0.8166, Acc.screen door: 0.8293, Acc.stairway: 0.5143, Acc.river: 0.2456, Acc.bridge: 0.8581, Acc.bookcase: 0.6066, Acc.blind: 0.4175, Acc.coffee table: 0.8823, Acc.toilet: 0.9511, Acc.flower: 0.6634, Acc.book: 0.7440, Acc.hill: 0.2775, Acc.bench: 0.6183, Acc.countertop: 0.8301, Acc.stove: 0.9068, Acc.palm: 0.8462, Acc.kitchen island: 0.7770, Acc.computer: 0.9113, Acc.swivel chair: 0.6770, Acc.boat: 0.8879, Acc.bar: 0.7853, Acc.arcade machine: 0.9392, Acc.hovel: 0.4530, Acc.bus: 0.9689, Acc.towel: 0.8472, Acc.light: 0.6919, Acc.truck: 0.6636, Acc.tower: 0.6577, Acc.chandelier: 0.8626, Acc.awning: 0.5258, Acc.streetlight: 0.4538, Acc.booth: 0.6352, Acc.television receiver: 0.9067, Acc.airplane: 0.7598, Acc.dirt track: 0.0000, Acc.apparel: 0.6845, Acc.pole: 0.3772, Acc.land: 0.0136, Acc.bannister: 0.2127, Acc.escalator: 0.8659, Acc.ottoman: 0.7056, Acc.bottle: 0.6757, Acc.buffet: 0.6253, Acc.poster: 0.5170, Acc.stage: 0.4675, Acc.van: 0.6172, Acc.ship: 0.6209, Acc.fountain: 0.4274, Acc.conveyer belt: 0.9602, Acc.canopy: 0.6583, Acc.washer: 0.9693, Acc.plaything: 0.6883, Acc.swimming pool: 0.9023, Acc.stool: 0.6629, Acc.barrel: 0.8389, Acc.basket: 0.5826, Acc.waterfall: 0.6035, Acc.tent: 0.9920, Acc.bag: 0.2683, Acc.minibike: 0.9136, Acc.cradle: 0.9783, Acc.oven: 0.6779, Acc.ball: 0.6957, Acc.food: 0.7006, Acc.step: 0.2209, Acc.tank: 0.6733, Acc.trade name: 0.2928, Acc.microwave: 0.9389, Acc.pot: 0.6410, Acc.animal: 0.5994, Acc.bicycle: 0.7954, Acc.lake: 0.6382, Acc.dishwasher: 0.7735, Acc.screen: 0.7208, Acc.blanket: 0.3026, Acc.sculpture: 0.8787, Acc.hood: 0.7406, Acc.sconce: 0.7049, Acc.vase: 0.6399, Acc.traffic light: 0.6164, Acc.tray: 0.2723, Acc.ashcan: 0.6932, Acc.fan: 0.7842, Acc.pier: 0.7912, Acc.crt screen: 0.2301, Acc.plate: 0.7864, Acc.monitor: 0.3094, Acc.bulletin board: 0.5874, Acc.shower: 0.1352, Acc.radiator: 0.7707, Acc.glass: 0.2386, Acc.clock: 0.6325, Acc.flag: 0.4568 +2022-03-14 19:04:15,565 - mmseg - INFO - Iter [80050/160000] lr: 7.175e-07, eta: 19:30:15, time: 2.528, data_time: 1.667, memory: 73034, decode.loss_ce: 0.1543, decode.acc_seg: 76.4096, aux.loss_ce: 0.0832, aux.acc_seg: 75.0336, loss: 0.2375 +2022-03-14 19:04:59,099 - mmseg - INFO - Iter [80100/160000] lr: 7.170e-07, eta: 19:29:31, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1523, decode.acc_seg: 75.5428, aux.loss_ce: 0.0820, aux.acc_seg: 74.2125, loss: 0.2343 +2022-03-14 19:05:42,306 - mmseg - INFO - Iter [80150/160000] lr: 7.166e-07, eta: 19:28:46, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1582, decode.acc_seg: 74.9115, aux.loss_ce: 0.0842, aux.acc_seg: 73.6592, loss: 0.2424 +2022-03-14 19:06:25,495 - mmseg - INFO - Iter [80200/160000] lr: 7.161e-07, eta: 19:28:02, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1607, decode.acc_seg: 75.0577, aux.loss_ce: 0.0834, aux.acc_seg: 73.8841, loss: 0.2441 +2022-03-14 19:07:08,962 - mmseg - INFO - Iter [80250/160000] lr: 7.157e-07, eta: 19:27:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1600, decode.acc_seg: 73.2087, aux.loss_ce: 0.0830, aux.acc_seg: 72.0864, loss: 0.2429 +2022-03-14 19:07:52,421 - mmseg - INFO - Iter [80300/160000] lr: 7.152e-07, eta: 19:26:33, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1589, decode.acc_seg: 74.8132, aux.loss_ce: 0.0830, aux.acc_seg: 73.5402, loss: 0.2419 +2022-03-14 19:08:35,747 - mmseg - INFO - Iter [80350/160000] lr: 7.148e-07, eta: 19:25:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1631, decode.acc_seg: 74.8560, aux.loss_ce: 0.0861, aux.acc_seg: 73.5611, loss: 0.2492 +2022-03-14 19:09:19,084 - mmseg - INFO - Iter [80400/160000] lr: 7.143e-07, eta: 19:25:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1702, decode.acc_seg: 76.1814, aux.loss_ce: 0.0897, aux.acc_seg: 74.8648, loss: 0.2599 +2022-03-14 19:10:02,300 - mmseg - INFO - Iter [80450/160000] lr: 7.139e-07, eta: 19:24:19, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1597, decode.acc_seg: 75.6126, aux.loss_ce: 0.0840, aux.acc_seg: 74.4791, loss: 0.2436 +2022-03-14 19:10:45,874 - mmseg - INFO - Iter [80500/160000] lr: 7.134e-07, eta: 19:23:35, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1593, decode.acc_seg: 74.5068, aux.loss_ce: 0.0860, aux.acc_seg: 73.1395, loss: 0.2452 +2022-03-14 19:11:29,300 - mmseg - INFO - Iter [80550/160000] lr: 7.130e-07, eta: 19:22:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1687, decode.acc_seg: 75.7700, aux.loss_ce: 0.0898, aux.acc_seg: 74.4105, loss: 0.2585 +2022-03-14 19:12:12,501 - mmseg - INFO - Iter [80600/160000] lr: 7.125e-07, eta: 19:22:06, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1517, decode.acc_seg: 74.2279, aux.loss_ce: 0.0814, aux.acc_seg: 73.0511, loss: 0.2332 +2022-03-14 19:12:55,765 - mmseg - INFO - Iter [80650/160000] lr: 7.121e-07, eta: 19:21:22, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1553, decode.acc_seg: 75.6012, aux.loss_ce: 0.0817, aux.acc_seg: 74.3638, loss: 0.2370 +2022-03-14 19:13:39,188 - mmseg - INFO - Iter [80700/160000] lr: 7.116e-07, eta: 19:20:37, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1555, decode.acc_seg: 75.9754, aux.loss_ce: 0.0829, aux.acc_seg: 74.7348, loss: 0.2384 +2022-03-14 19:14:22,502 - mmseg - INFO - Iter [80750/160000] lr: 7.112e-07, eta: 19:19:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1568, decode.acc_seg: 74.4129, aux.loss_ce: 0.0826, aux.acc_seg: 73.1465, loss: 0.2393 +2022-03-14 19:15:05,914 - mmseg - INFO - Iter [80800/160000] lr: 7.107e-07, eta: 19:19:08, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1553, decode.acc_seg: 75.3749, aux.loss_ce: 0.0827, aux.acc_seg: 74.1266, loss: 0.2381 +2022-03-14 19:15:51,694 - mmseg - INFO - Iter [80850/160000] lr: 7.103e-07, eta: 19:18:26, time: 0.916, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1642, decode.acc_seg: 75.8543, aux.loss_ce: 0.0865, aux.acc_seg: 74.5886, loss: 0.2507 +2022-03-14 19:16:34,953 - mmseg - INFO - Iter [80900/160000] lr: 7.098e-07, eta: 19:17:42, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1565, decode.acc_seg: 75.6884, aux.loss_ce: 0.0824, aux.acc_seg: 74.5002, loss: 0.2388 +2022-03-14 19:17:18,563 - mmseg - INFO - Iter [80950/160000] lr: 7.094e-07, eta: 19:16:58, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1579, decode.acc_seg: 76.0655, aux.loss_ce: 0.0848, aux.acc_seg: 74.8300, loss: 0.2427 +2022-03-14 19:18:01,950 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 19:18:01,954 - mmseg - INFO - Iter [81000/160000] lr: 7.089e-07, eta: 19:16:13, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1580, decode.acc_seg: 76.3414, aux.loss_ce: 0.0852, aux.acc_seg: 75.0612, loss: 0.2433 +2022-03-14 19:18:45,258 - mmseg - INFO - Iter [81050/160000] lr: 7.085e-07, eta: 19:15:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1535, decode.acc_seg: 76.3948, aux.loss_ce: 0.0833, aux.acc_seg: 75.0263, loss: 0.2367 +2022-03-14 19:19:28,676 - mmseg - INFO - Iter [81100/160000] lr: 7.080e-07, eta: 19:14:44, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1706, decode.acc_seg: 75.1296, aux.loss_ce: 0.0914, aux.acc_seg: 73.7201, loss: 0.2620 +2022-03-14 19:20:12,018 - mmseg - INFO - Iter [81150/160000] lr: 7.076e-07, eta: 19:14:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1613, decode.acc_seg: 75.9056, aux.loss_ce: 0.0887, aux.acc_seg: 74.5273, loss: 0.2500 +2022-03-14 19:20:55,641 - mmseg - INFO - Iter [81200/160000] lr: 7.071e-07, eta: 19:13:16, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1664, decode.acc_seg: 76.2360, aux.loss_ce: 0.0865, aux.acc_seg: 74.9894, loss: 0.2529 +2022-03-14 19:21:39,286 - mmseg - INFO - Iter [81250/160000] lr: 7.067e-07, eta: 19:12:32, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1565, decode.acc_seg: 75.9801, aux.loss_ce: 0.0833, aux.acc_seg: 74.6935, loss: 0.2397 +2022-03-14 19:22:22,445 - mmseg - INFO - Iter [81300/160000] lr: 7.062e-07, eta: 19:11:47, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1672, decode.acc_seg: 75.1894, aux.loss_ce: 0.0886, aux.acc_seg: 73.7794, loss: 0.2558 +2022-03-14 19:23:05,627 - mmseg - INFO - Iter [81350/160000] lr: 7.058e-07, eta: 19:11:02, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 75.0816, aux.loss_ce: 0.0790, aux.acc_seg: 73.8829, loss: 0.2302 +2022-03-14 19:23:49,094 - mmseg - INFO - Iter [81400/160000] lr: 7.053e-07, eta: 19:10:18, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1561, decode.acc_seg: 74.5398, aux.loss_ce: 0.0833, aux.acc_seg: 73.2618, loss: 0.2394 +2022-03-14 19:24:32,731 - mmseg - INFO - Iter [81450/160000] lr: 7.049e-07, eta: 19:09:34, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1617, decode.acc_seg: 76.0106, aux.loss_ce: 0.0858, aux.acc_seg: 74.7563, loss: 0.2475 +2022-03-14 19:25:16,062 - mmseg - INFO - Iter [81500/160000] lr: 7.044e-07, eta: 19:08:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1582, decode.acc_seg: 75.8236, aux.loss_ce: 0.0845, aux.acc_seg: 74.5297, loss: 0.2427 +2022-03-14 19:25:59,733 - mmseg - INFO - Iter [81550/160000] lr: 7.040e-07, eta: 19:08:05, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1637, decode.acc_seg: 76.7291, aux.loss_ce: 0.0861, aux.acc_seg: 75.4809, loss: 0.2498 +2022-03-14 19:26:43,080 - mmseg - INFO - Iter [81600/160000] lr: 7.035e-07, eta: 19:07:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1516, decode.acc_seg: 76.5574, aux.loss_ce: 0.0811, aux.acc_seg: 75.3408, loss: 0.2327 +2022-03-14 19:27:26,378 - mmseg - INFO - Iter [81650/160000] lr: 7.031e-07, eta: 19:06:36, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1653, decode.acc_seg: 74.7502, aux.loss_ce: 0.0862, aux.acc_seg: 73.4810, loss: 0.2515 +2022-03-14 19:28:09,877 - mmseg - INFO - Iter [81700/160000] lr: 7.027e-07, eta: 19:05:52, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1683, decode.acc_seg: 76.5141, aux.loss_ce: 0.0907, aux.acc_seg: 75.0960, loss: 0.2590 +2022-03-14 19:28:53,285 - mmseg - INFO - Iter [81750/160000] lr: 7.022e-07, eta: 19:05:08, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1700, decode.acc_seg: 77.1492, aux.loss_ce: 0.0900, aux.acc_seg: 75.7349, loss: 0.2600 +2022-03-14 19:29:36,699 - mmseg - INFO - Iter [81800/160000] lr: 7.018e-07, eta: 19:04:23, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 75.1500, aux.loss_ce: 0.0805, aux.acc_seg: 73.9300, loss: 0.2333 +2022-03-14 19:30:20,027 - mmseg - INFO - Iter [81850/160000] lr: 7.013e-07, eta: 19:03:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1604, decode.acc_seg: 74.2808, aux.loss_ce: 0.0833, aux.acc_seg: 73.0713, loss: 0.2436 +2022-03-14 19:31:03,504 - mmseg - INFO - Iter [81900/160000] lr: 7.009e-07, eta: 19:02:54, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1670, decode.acc_seg: 75.9524, aux.loss_ce: 0.0860, aux.acc_seg: 74.8308, loss: 0.2530 +2022-03-14 19:31:46,764 - mmseg - INFO - Iter [81950/160000] lr: 7.004e-07, eta: 19:02:10, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1652, decode.acc_seg: 76.4098, aux.loss_ce: 0.0874, aux.acc_seg: 75.1023, loss: 0.2526 +2022-03-14 19:32:30,192 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 19:32:30,203 - mmseg - INFO - Iter [82000/160000] lr: 7.000e-07, eta: 19:01:26, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1553, decode.acc_seg: 75.1385, aux.loss_ce: 0.0816, aux.acc_seg: 73.9804, loss: 0.2370 +2022-03-14 19:33:13,497 - mmseg - INFO - Iter [82050/160000] lr: 6.995e-07, eta: 19:00:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1549, decode.acc_seg: 76.6660, aux.loss_ce: 0.0838, aux.acc_seg: 75.3427, loss: 0.2388 +2022-03-14 19:33:59,410 - mmseg - INFO - Iter [82100/160000] lr: 6.991e-07, eta: 18:59:59, time: 0.918, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1586, decode.acc_seg: 75.5525, aux.loss_ce: 0.0840, aux.acc_seg: 74.1905, loss: 0.2427 +2022-03-14 19:34:42,816 - mmseg - INFO - Iter [82150/160000] lr: 6.986e-07, eta: 18:59:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1580, decode.acc_seg: 76.4363, aux.loss_ce: 0.0831, aux.acc_seg: 75.2135, loss: 0.2411 +2022-03-14 19:35:26,035 - mmseg - INFO - Iter [82200/160000] lr: 6.982e-07, eta: 18:58:30, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1644, decode.acc_seg: 75.0795, aux.loss_ce: 0.0888, aux.acc_seg: 73.6281, loss: 0.2532 +2022-03-14 19:36:09,322 - mmseg - INFO - Iter [82250/160000] lr: 6.977e-07, eta: 18:57:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1419, decode.acc_seg: 75.3758, aux.loss_ce: 0.0764, aux.acc_seg: 74.1454, loss: 0.2183 +2022-03-14 19:36:52,884 - mmseg - INFO - Iter [82300/160000] lr: 6.973e-07, eta: 18:57:02, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1492, decode.acc_seg: 76.5003, aux.loss_ce: 0.0792, aux.acc_seg: 75.2567, loss: 0.2283 +2022-03-14 19:37:36,290 - mmseg - INFO - Iter [82350/160000] lr: 6.968e-07, eta: 18:56:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1469, decode.acc_seg: 74.9047, aux.loss_ce: 0.0800, aux.acc_seg: 73.6558, loss: 0.2269 +2022-03-14 19:38:19,739 - mmseg - INFO - Iter [82400/160000] lr: 6.964e-07, eta: 18:55:33, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1539, decode.acc_seg: 76.0454, aux.loss_ce: 0.0815, aux.acc_seg: 74.7756, loss: 0.2354 +2022-03-14 19:39:02,957 - mmseg - INFO - Iter [82450/160000] lr: 6.959e-07, eta: 18:54:48, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1525, decode.acc_seg: 75.1052, aux.loss_ce: 0.0815, aux.acc_seg: 73.8301, loss: 0.2340 +2022-03-14 19:39:46,274 - mmseg - INFO - Iter [82500/160000] lr: 6.955e-07, eta: 18:54:04, time: 0.866, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1525, decode.acc_seg: 74.8053, aux.loss_ce: 0.0823, aux.acc_seg: 73.3771, loss: 0.2348 +2022-03-14 19:40:29,551 - mmseg - INFO - Iter [82550/160000] lr: 6.950e-07, eta: 18:53:19, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1536, decode.acc_seg: 75.9168, aux.loss_ce: 0.0812, aux.acc_seg: 74.7131, loss: 0.2348 +2022-03-14 19:41:12,851 - mmseg - INFO - Iter [82600/160000] lr: 6.946e-07, eta: 18:52:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1563, decode.acc_seg: 76.8012, aux.loss_ce: 0.0822, aux.acc_seg: 75.5170, loss: 0.2386 +2022-03-14 19:41:56,304 - mmseg - INFO - Iter [82650/160000] lr: 6.941e-07, eta: 18:51:51, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1586, decode.acc_seg: 73.7361, aux.loss_ce: 0.0850, aux.acc_seg: 72.4024, loss: 0.2436 +2022-03-14 19:42:39,677 - mmseg - INFO - Iter [82700/160000] lr: 6.937e-07, eta: 18:51:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1630, decode.acc_seg: 74.9948, aux.loss_ce: 0.0874, aux.acc_seg: 73.6112, loss: 0.2503 +2022-03-14 19:43:23,080 - mmseg - INFO - Iter [82750/160000] lr: 6.932e-07, eta: 18:50:22, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1636, decode.acc_seg: 77.0500, aux.loss_ce: 0.0867, aux.acc_seg: 75.7257, loss: 0.2503 +2022-03-14 19:44:06,234 - mmseg - INFO - Iter [82800/160000] lr: 6.928e-07, eta: 18:49:37, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1607, decode.acc_seg: 74.5172, aux.loss_ce: 0.0852, aux.acc_seg: 73.2790, loss: 0.2460 +2022-03-14 19:44:49,511 - mmseg - INFO - Iter [82850/160000] lr: 6.923e-07, eta: 18:48:53, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1624, decode.acc_seg: 75.4044, aux.loss_ce: 0.0854, aux.acc_seg: 74.1050, loss: 0.2478 +2022-03-14 19:45:33,103 - mmseg - INFO - Iter [82900/160000] lr: 6.919e-07, eta: 18:48:09, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1662, decode.acc_seg: 76.7053, aux.loss_ce: 0.0866, aux.acc_seg: 75.5417, loss: 0.2528 +2022-03-14 19:46:16,435 - mmseg - INFO - Iter [82950/160000] lr: 6.914e-07, eta: 18:47:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1595, decode.acc_seg: 76.8534, aux.loss_ce: 0.0852, aux.acc_seg: 75.5913, loss: 0.2447 +2022-03-14 19:46:59,869 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 19:46:59,872 - mmseg - INFO - Iter [83000/160000] lr: 6.910e-07, eta: 18:46:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1577, decode.acc_seg: 74.1751, aux.loss_ce: 0.0838, aux.acc_seg: 72.8033, loss: 0.2415 +2022-03-14 19:47:43,319 - mmseg - INFO - Iter [83050/160000] lr: 6.905e-07, eta: 18:45:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1582, decode.acc_seg: 74.0999, aux.loss_ce: 0.0835, aux.acc_seg: 72.9207, loss: 0.2417 +2022-03-14 19:48:26,808 - mmseg - INFO - Iter [83100/160000] lr: 6.901e-07, eta: 18:45:11, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 76.1862, aux.loss_ce: 0.0886, aux.acc_seg: 74.7228, loss: 0.2525 +2022-03-14 19:49:10,102 - mmseg - INFO - Iter [83150/160000] lr: 6.896e-07, eta: 18:44:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1611, decode.acc_seg: 75.4184, aux.loss_ce: 0.0840, aux.acc_seg: 74.2228, loss: 0.2452 +2022-03-14 19:49:53,621 - mmseg - INFO - Iter [83200/160000] lr: 6.892e-07, eta: 18:43:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1606, decode.acc_seg: 74.7278, aux.loss_ce: 0.0840, aux.acc_seg: 73.5760, loss: 0.2446 +2022-03-14 19:50:37,024 - mmseg - INFO - Iter [83250/160000] lr: 6.887e-07, eta: 18:42:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1591, decode.acc_seg: 77.2470, aux.loss_ce: 0.0847, aux.acc_seg: 75.8764, loss: 0.2437 +2022-03-14 19:51:20,374 - mmseg - INFO - Iter [83300/160000] lr: 6.883e-07, eta: 18:42:14, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1588, decode.acc_seg: 74.8360, aux.loss_ce: 0.0850, aux.acc_seg: 73.5318, loss: 0.2438 +2022-03-14 19:52:03,899 - mmseg - INFO - Iter [83350/160000] lr: 6.878e-07, eta: 18:41:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1605, decode.acc_seg: 74.7591, aux.loss_ce: 0.0849, aux.acc_seg: 73.4514, loss: 0.2455 +2022-03-14 19:52:49,774 - mmseg - INFO - Iter [83400/160000] lr: 6.874e-07, eta: 18:40:47, time: 0.918, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1611, decode.acc_seg: 75.0593, aux.loss_ce: 0.0868, aux.acc_seg: 73.7091, loss: 0.2479 +2022-03-14 19:53:33,052 - mmseg - INFO - Iter [83450/160000] lr: 6.869e-07, eta: 18:40:03, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1608, decode.acc_seg: 75.4497, aux.loss_ce: 0.0845, aux.acc_seg: 74.2100, loss: 0.2452 +2022-03-14 19:54:16,473 - mmseg - INFO - Iter [83500/160000] lr: 6.865e-07, eta: 18:39:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1622, decode.acc_seg: 75.2498, aux.loss_ce: 0.0881, aux.acc_seg: 73.8298, loss: 0.2503 +2022-03-14 19:54:59,605 - mmseg - INFO - Iter [83550/160000] lr: 6.861e-07, eta: 18:38:34, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1608, decode.acc_seg: 76.3012, aux.loss_ce: 0.0857, aux.acc_seg: 74.9579, loss: 0.2465 +2022-03-14 19:55:43,157 - mmseg - INFO - Iter [83600/160000] lr: 6.856e-07, eta: 18:37:50, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1560, decode.acc_seg: 75.3728, aux.loss_ce: 0.0819, aux.acc_seg: 74.2580, loss: 0.2380 +2022-03-14 19:56:26,361 - mmseg - INFO - Iter [83650/160000] lr: 6.852e-07, eta: 18:37:05, time: 0.864, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1599, decode.acc_seg: 73.5024, aux.loss_ce: 0.0837, aux.acc_seg: 72.2392, loss: 0.2436 +2022-03-14 19:57:09,780 - mmseg - INFO - Iter [83700/160000] lr: 6.847e-07, eta: 18:36:21, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1579, decode.acc_seg: 75.6989, aux.loss_ce: 0.0845, aux.acc_seg: 74.3183, loss: 0.2424 +2022-03-14 19:57:53,155 - mmseg - INFO - Iter [83750/160000] lr: 6.843e-07, eta: 18:35:37, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1532, decode.acc_seg: 74.6930, aux.loss_ce: 0.0830, aux.acc_seg: 73.4114, loss: 0.2362 +2022-03-14 19:58:36,546 - mmseg - INFO - Iter [83800/160000] lr: 6.838e-07, eta: 18:34:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1562, decode.acc_seg: 75.9412, aux.loss_ce: 0.0850, aux.acc_seg: 74.5531, loss: 0.2412 +2022-03-14 19:59:19,741 - mmseg - INFO - Iter [83850/160000] lr: 6.834e-07, eta: 18:34:08, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1597, decode.acc_seg: 75.9404, aux.loss_ce: 0.0827, aux.acc_seg: 74.7992, loss: 0.2424 +2022-03-14 20:00:03,192 - mmseg - INFO - Iter [83900/160000] lr: 6.829e-07, eta: 18:33:23, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1552, decode.acc_seg: 75.9915, aux.loss_ce: 0.0819, aux.acc_seg: 74.7252, loss: 0.2372 +2022-03-14 20:00:46,683 - mmseg - INFO - Iter [83950/160000] lr: 6.825e-07, eta: 18:32:39, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 75.6068, aux.loss_ce: 0.0827, aux.acc_seg: 74.3818, loss: 0.2383 +2022-03-14 20:01:30,130 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 20:01:30,133 - mmseg - INFO - Iter [84000/160000] lr: 6.820e-07, eta: 18:31:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1553, decode.acc_seg: 76.2877, aux.loss_ce: 0.0833, aux.acc_seg: 74.8619, loss: 0.2385 +2022-03-14 20:02:13,455 - mmseg - INFO - Iter [84050/160000] lr: 6.816e-07, eta: 18:31:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1597, decode.acc_seg: 73.6016, aux.loss_ce: 0.0845, aux.acc_seg: 72.2869, loss: 0.2442 +2022-03-14 20:02:56,789 - mmseg - INFO - Iter [84100/160000] lr: 6.811e-07, eta: 18:30:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1533, decode.acc_seg: 74.5211, aux.loss_ce: 0.0826, aux.acc_seg: 73.1969, loss: 0.2359 +2022-03-14 20:03:39,995 - mmseg - INFO - Iter [84150/160000] lr: 6.807e-07, eta: 18:29:42, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1581, decode.acc_seg: 76.2406, aux.loss_ce: 0.0848, aux.acc_seg: 74.8484, loss: 0.2429 +2022-03-14 20:04:23,378 - mmseg - INFO - Iter [84200/160000] lr: 6.802e-07, eta: 18:28:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1665, decode.acc_seg: 75.5234, aux.loss_ce: 0.0901, aux.acc_seg: 74.0979, loss: 0.2566 +2022-03-14 20:05:06,517 - mmseg - INFO - Iter [84250/160000] lr: 6.798e-07, eta: 18:28:13, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1521, decode.acc_seg: 75.9049, aux.loss_ce: 0.0808, aux.acc_seg: 74.6026, loss: 0.2329 +2022-03-14 20:05:49,858 - mmseg - INFO - Iter [84300/160000] lr: 6.793e-07, eta: 18:27:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1634, decode.acc_seg: 74.9356, aux.loss_ce: 0.0852, aux.acc_seg: 73.6721, loss: 0.2486 +2022-03-14 20:06:33,331 - mmseg - INFO - Iter [84350/160000] lr: 6.789e-07, eta: 18:26:44, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1600, decode.acc_seg: 76.2989, aux.loss_ce: 0.0863, aux.acc_seg: 74.8690, loss: 0.2463 +2022-03-14 20:07:16,569 - mmseg - INFO - Iter [84400/160000] lr: 6.784e-07, eta: 18:26:00, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 75.5961, aux.loss_ce: 0.0828, aux.acc_seg: 74.2837, loss: 0.2384 +2022-03-14 20:08:00,095 - mmseg - INFO - Iter [84450/160000] lr: 6.780e-07, eta: 18:25:15, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1478, decode.acc_seg: 75.3187, aux.loss_ce: 0.0798, aux.acc_seg: 74.0216, loss: 0.2276 +2022-03-14 20:08:43,810 - mmseg - INFO - Iter [84500/160000] lr: 6.775e-07, eta: 18:24:31, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1522, decode.acc_seg: 75.1212, aux.loss_ce: 0.0824, aux.acc_seg: 73.7678, loss: 0.2347 +2022-03-14 20:09:27,441 - mmseg - INFO - Iter [84550/160000] lr: 6.771e-07, eta: 18:23:47, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1623, decode.acc_seg: 74.8025, aux.loss_ce: 0.0874, aux.acc_seg: 73.3277, loss: 0.2496 +2022-03-14 20:10:10,713 - mmseg - INFO - Iter [84600/160000] lr: 6.766e-07, eta: 18:23:03, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1576, decode.acc_seg: 75.6842, aux.loss_ce: 0.0826, aux.acc_seg: 74.5077, loss: 0.2402 +2022-03-14 20:10:56,591 - mmseg - INFO - Iter [84650/160000] lr: 6.762e-07, eta: 18:22:21, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1569, decode.acc_seg: 75.1571, aux.loss_ce: 0.0835, aux.acc_seg: 73.8837, loss: 0.2404 +2022-03-14 20:11:40,024 - mmseg - INFO - Iter [84700/160000] lr: 6.757e-07, eta: 18:21:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1546, decode.acc_seg: 75.2074, aux.loss_ce: 0.0821, aux.acc_seg: 73.9268, loss: 0.2367 +2022-03-14 20:12:23,511 - mmseg - INFO - Iter [84750/160000] lr: 6.753e-07, eta: 18:20:52, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 75.4126, aux.loss_ce: 0.0822, aux.acc_seg: 74.1612, loss: 0.2352 +2022-03-14 20:13:06,863 - mmseg - INFO - Iter [84800/160000] lr: 6.748e-07, eta: 18:20:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1530, decode.acc_seg: 73.9770, aux.loss_ce: 0.0805, aux.acc_seg: 72.8128, loss: 0.2334 +2022-03-14 20:13:50,282 - mmseg - INFO - Iter [84850/160000] lr: 6.744e-07, eta: 18:19:23, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 75.2198, aux.loss_ce: 0.0775, aux.acc_seg: 74.0564, loss: 0.2230 +2022-03-14 20:14:33,852 - mmseg - INFO - Iter [84900/160000] lr: 6.739e-07, eta: 18:18:39, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1615, decode.acc_seg: 75.9471, aux.loss_ce: 0.0859, aux.acc_seg: 74.6771, loss: 0.2473 +2022-03-14 20:15:17,177 - mmseg - INFO - Iter [84950/160000] lr: 6.735e-07, eta: 18:17:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1563, decode.acc_seg: 75.0074, aux.loss_ce: 0.0836, aux.acc_seg: 73.7521, loss: 0.2398 +2022-03-14 20:16:00,500 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 20:16:00,502 - mmseg - INFO - Iter [85000/160000] lr: 6.730e-07, eta: 18:17:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1572, decode.acc_seg: 75.8334, aux.loss_ce: 0.0841, aux.acc_seg: 74.5201, loss: 0.2413 +2022-03-14 20:16:43,934 - mmseg - INFO - Iter [85050/160000] lr: 6.726e-07, eta: 18:16:26, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 74.5415, aux.loss_ce: 0.0757, aux.acc_seg: 73.2648, loss: 0.2161 +2022-03-14 20:17:27,548 - mmseg - INFO - Iter [85100/160000] lr: 6.721e-07, eta: 18:15:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1544, decode.acc_seg: 75.1705, aux.loss_ce: 0.0845, aux.acc_seg: 73.8194, loss: 0.2389 +2022-03-14 20:18:11,049 - mmseg - INFO - Iter [85150/160000] lr: 6.717e-07, eta: 18:14:58, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1598, decode.acc_seg: 75.7641, aux.loss_ce: 0.0858, aux.acc_seg: 74.4810, loss: 0.2456 +2022-03-14 20:18:54,726 - mmseg - INFO - Iter [85200/160000] lr: 6.712e-07, eta: 18:14:14, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1613, decode.acc_seg: 74.6568, aux.loss_ce: 0.0839, aux.acc_seg: 73.4639, loss: 0.2452 +2022-03-14 20:19:38,182 - mmseg - INFO - Iter [85250/160000] lr: 6.708e-07, eta: 18:13:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1524, decode.acc_seg: 74.9604, aux.loss_ce: 0.0807, aux.acc_seg: 73.8376, loss: 0.2331 +2022-03-14 20:20:21,897 - mmseg - INFO - Iter [85300/160000] lr: 6.703e-07, eta: 18:12:45, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1512, decode.acc_seg: 74.8790, aux.loss_ce: 0.0821, aux.acc_seg: 73.5588, loss: 0.2333 +2022-03-14 20:21:05,149 - mmseg - INFO - Iter [85350/160000] lr: 6.699e-07, eta: 18:12:01, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1444, decode.acc_seg: 75.7956, aux.loss_ce: 0.0760, aux.acc_seg: 74.5964, loss: 0.2204 +2022-03-14 20:21:48,385 - mmseg - INFO - Iter [85400/160000] lr: 6.694e-07, eta: 18:11:17, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1515, decode.acc_seg: 74.6582, aux.loss_ce: 0.0816, aux.acc_seg: 73.4129, loss: 0.2331 +2022-03-14 20:22:31,667 - mmseg - INFO - Iter [85450/160000] lr: 6.690e-07, eta: 18:10:32, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 74.9432, aux.loss_ce: 0.0812, aux.acc_seg: 73.7850, loss: 0.2356 +2022-03-14 20:23:15,210 - mmseg - INFO - Iter [85500/160000] lr: 6.686e-07, eta: 18:09:48, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1651, decode.acc_seg: 74.4986, aux.loss_ce: 0.0884, aux.acc_seg: 73.1285, loss: 0.2535 +2022-03-14 20:23:58,551 - mmseg - INFO - Iter [85550/160000] lr: 6.681e-07, eta: 18:09:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1524, decode.acc_seg: 77.0469, aux.loss_ce: 0.0827, aux.acc_seg: 75.7934, loss: 0.2351 +2022-03-14 20:24:41,839 - mmseg - INFO - Iter [85600/160000] lr: 6.677e-07, eta: 18:08:19, time: 0.866, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1588, decode.acc_seg: 73.5324, aux.loss_ce: 0.0843, aux.acc_seg: 72.2730, loss: 0.2431 +2022-03-14 20:25:25,239 - mmseg - INFO - Iter [85650/160000] lr: 6.672e-07, eta: 18:07:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1595, decode.acc_seg: 75.5788, aux.loss_ce: 0.0856, aux.acc_seg: 74.1709, loss: 0.2451 +2022-03-14 20:26:08,555 - mmseg - INFO - Iter [85700/160000] lr: 6.668e-07, eta: 18:06:51, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1633, decode.acc_seg: 74.1015, aux.loss_ce: 0.0866, aux.acc_seg: 72.7789, loss: 0.2499 +2022-03-14 20:26:52,033 - mmseg - INFO - Iter [85750/160000] lr: 6.663e-07, eta: 18:06:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1662, decode.acc_seg: 75.1725, aux.loss_ce: 0.0884, aux.acc_seg: 73.6880, loss: 0.2547 +2022-03-14 20:27:35,389 - mmseg - INFO - Iter [85800/160000] lr: 6.659e-07, eta: 18:05:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1546, decode.acc_seg: 75.1642, aux.loss_ce: 0.0822, aux.acc_seg: 73.9205, loss: 0.2368 +2022-03-14 20:28:18,775 - mmseg - INFO - Iter [85850/160000] lr: 6.654e-07, eta: 18:04:38, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1640, decode.acc_seg: 75.9692, aux.loss_ce: 0.0878, aux.acc_seg: 74.6268, loss: 0.2518 +2022-03-14 20:29:04,776 - mmseg - INFO - Iter [85900/160000] lr: 6.650e-07, eta: 18:03:56, time: 0.920, data_time: 0.049, memory: 73034, decode.loss_ce: 0.1643, decode.acc_seg: 77.7369, aux.loss_ce: 0.0854, aux.acc_seg: 76.5306, loss: 0.2497 +2022-03-14 20:29:48,259 - mmseg - INFO - Iter [85950/160000] lr: 6.645e-07, eta: 18:03:11, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1592, decode.acc_seg: 74.9988, aux.loss_ce: 0.0841, aux.acc_seg: 73.7822, loss: 0.2433 +2022-03-14 20:30:31,549 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 20:30:31,553 - mmseg - INFO - Iter [86000/160000] lr: 6.641e-07, eta: 18:02:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1607, decode.acc_seg: 75.5172, aux.loss_ce: 0.0859, aux.acc_seg: 74.2161, loss: 0.2466 +2022-03-14 20:31:15,148 - mmseg - INFO - Iter [86050/160000] lr: 6.636e-07, eta: 18:01:43, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1561, decode.acc_seg: 75.0641, aux.loss_ce: 0.0824, aux.acc_seg: 73.8618, loss: 0.2385 +2022-03-14 20:31:58,645 - mmseg - INFO - Iter [86100/160000] lr: 6.632e-07, eta: 18:00:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1568, decode.acc_seg: 74.1861, aux.loss_ce: 0.0837, aux.acc_seg: 72.8718, loss: 0.2405 +2022-03-14 20:32:42,012 - mmseg - INFO - Iter [86150/160000] lr: 6.627e-07, eta: 18:00:14, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1435, decode.acc_seg: 75.7965, aux.loss_ce: 0.0762, aux.acc_seg: 74.6146, loss: 0.2197 +2022-03-14 20:33:25,550 - mmseg - INFO - Iter [86200/160000] lr: 6.623e-07, eta: 17:59:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1452, decode.acc_seg: 75.6020, aux.loss_ce: 0.0781, aux.acc_seg: 74.4178, loss: 0.2233 +2022-03-14 20:34:08,906 - mmseg - INFO - Iter [86250/160000] lr: 6.618e-07, eta: 17:58:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1590, decode.acc_seg: 75.7368, aux.loss_ce: 0.0840, aux.acc_seg: 74.5333, loss: 0.2429 +2022-03-14 20:34:52,411 - mmseg - INFO - Iter [86300/160000] lr: 6.614e-07, eta: 17:58:02, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1611, decode.acc_seg: 74.9774, aux.loss_ce: 0.0839, aux.acc_seg: 73.7255, loss: 0.2450 +2022-03-14 20:35:35,795 - mmseg - INFO - Iter [86350/160000] lr: 6.609e-07, eta: 17:57:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1520, decode.acc_seg: 75.4877, aux.loss_ce: 0.0818, aux.acc_seg: 74.1492, loss: 0.2339 +2022-03-14 20:36:19,198 - mmseg - INFO - Iter [86400/160000] lr: 6.605e-07, eta: 17:56:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1645, decode.acc_seg: 77.5041, aux.loss_ce: 0.0873, aux.acc_seg: 76.1967, loss: 0.2518 +2022-03-14 20:37:02,512 - mmseg - INFO - Iter [86450/160000] lr: 6.600e-07, eta: 17:55:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1549, decode.acc_seg: 75.3581, aux.loss_ce: 0.0821, aux.acc_seg: 74.1580, loss: 0.2370 +2022-03-14 20:37:46,086 - mmseg - INFO - Iter [86500/160000] lr: 6.596e-07, eta: 17:55:05, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1495, decode.acc_seg: 75.0546, aux.loss_ce: 0.0799, aux.acc_seg: 73.7787, loss: 0.2294 +2022-03-14 20:38:29,514 - mmseg - INFO - Iter [86550/160000] lr: 6.591e-07, eta: 17:54:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1519, decode.acc_seg: 76.0957, aux.loss_ce: 0.0812, aux.acc_seg: 74.8687, loss: 0.2331 +2022-03-14 20:39:12,966 - mmseg - INFO - Iter [86600/160000] lr: 6.587e-07, eta: 17:53:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1577, decode.acc_seg: 75.2294, aux.loss_ce: 0.0841, aux.acc_seg: 73.9680, loss: 0.2418 +2022-03-14 20:39:56,673 - mmseg - INFO - Iter [86650/160000] lr: 6.582e-07, eta: 17:52:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1563, decode.acc_seg: 75.1056, aux.loss_ce: 0.0837, aux.acc_seg: 73.8180, loss: 0.2400 +2022-03-14 20:40:40,130 - mmseg - INFO - Iter [86700/160000] lr: 6.578e-07, eta: 17:52:08, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1580, decode.acc_seg: 74.7897, aux.loss_ce: 0.0842, aux.acc_seg: 73.5957, loss: 0.2422 +2022-03-14 20:41:23,585 - mmseg - INFO - Iter [86750/160000] lr: 6.573e-07, eta: 17:51:23, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1590, decode.acc_seg: 75.9018, aux.loss_ce: 0.0836, aux.acc_seg: 74.7769, loss: 0.2427 +2022-03-14 20:42:06,908 - mmseg - INFO - Iter [86800/160000] lr: 6.569e-07, eta: 17:50:39, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1476, decode.acc_seg: 74.9647, aux.loss_ce: 0.0787, aux.acc_seg: 73.6992, loss: 0.2263 +2022-03-14 20:42:50,446 - mmseg - INFO - Iter [86850/160000] lr: 6.564e-07, eta: 17:49:55, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1510, decode.acc_seg: 75.2481, aux.loss_ce: 0.0796, aux.acc_seg: 74.0876, loss: 0.2306 +2022-03-14 20:43:34,017 - mmseg - INFO - Iter [86900/160000] lr: 6.560e-07, eta: 17:49:11, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1531, decode.acc_seg: 74.7380, aux.loss_ce: 0.0804, aux.acc_seg: 73.4945, loss: 0.2335 +2022-03-14 20:44:17,553 - mmseg - INFO - Iter [86950/160000] lr: 6.555e-07, eta: 17:48:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1604, decode.acc_seg: 76.6623, aux.loss_ce: 0.0879, aux.acc_seg: 75.2427, loss: 0.2483 +2022-03-14 20:45:00,780 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 20:45:00,782 - mmseg - INFO - Iter [87000/160000] lr: 6.551e-07, eta: 17:47:42, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1604, decode.acc_seg: 74.2310, aux.loss_ce: 0.0834, aux.acc_seg: 73.1438, loss: 0.2438 +2022-03-14 20:45:44,096 - mmseg - INFO - Iter [87050/160000] lr: 6.546e-07, eta: 17:46:58, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1571, decode.acc_seg: 76.8489, aux.loss_ce: 0.0844, aux.acc_seg: 75.6142, loss: 0.2416 +2022-03-14 20:46:27,578 - mmseg - INFO - Iter [87100/160000] lr: 6.542e-07, eta: 17:46:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1639, decode.acc_seg: 75.2895, aux.loss_ce: 0.0845, aux.acc_seg: 74.1869, loss: 0.2484 +2022-03-14 20:47:13,539 - mmseg - INFO - Iter [87150/160000] lr: 6.537e-07, eta: 17:45:32, time: 0.919, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1546, decode.acc_seg: 75.4667, aux.loss_ce: 0.0814, aux.acc_seg: 74.2944, loss: 0.2360 +2022-03-14 20:47:56,878 - mmseg - INFO - Iter [87200/160000] lr: 6.533e-07, eta: 17:44:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1469, decode.acc_seg: 75.9956, aux.loss_ce: 0.0791, aux.acc_seg: 74.8053, loss: 0.2260 +2022-03-14 20:48:40,253 - mmseg - INFO - Iter [87250/160000] lr: 6.528e-07, eta: 17:44:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1450, decode.acc_seg: 75.5507, aux.loss_ce: 0.0796, aux.acc_seg: 74.1875, loss: 0.2246 +2022-03-14 20:49:23,710 - mmseg - INFO - Iter [87300/160000] lr: 6.524e-07, eta: 17:43:19, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1478, decode.acc_seg: 76.5475, aux.loss_ce: 0.0791, aux.acc_seg: 75.3698, loss: 0.2269 +2022-03-14 20:50:06,963 - mmseg - INFO - Iter [87350/160000] lr: 6.520e-07, eta: 17:42:34, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1504, decode.acc_seg: 76.3100, aux.loss_ce: 0.0801, aux.acc_seg: 75.0219, loss: 0.2305 +2022-03-14 20:50:50,220 - mmseg - INFO - Iter [87400/160000] lr: 6.515e-07, eta: 17:41:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1411, decode.acc_seg: 75.1016, aux.loss_ce: 0.0762, aux.acc_seg: 73.7607, loss: 0.2173 +2022-03-14 20:51:33,572 - mmseg - INFO - Iter [87450/160000] lr: 6.511e-07, eta: 17:41:06, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 75.6358, aux.loss_ce: 0.0809, aux.acc_seg: 74.3783, loss: 0.2337 +2022-03-14 20:52:17,279 - mmseg - INFO - Iter [87500/160000] lr: 6.506e-07, eta: 17:40:22, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1648, decode.acc_seg: 76.2947, aux.loss_ce: 0.0879, aux.acc_seg: 75.0591, loss: 0.2527 +2022-03-14 20:53:00,803 - mmseg - INFO - Iter [87550/160000] lr: 6.502e-07, eta: 17:39:37, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1576, decode.acc_seg: 74.8993, aux.loss_ce: 0.0831, aux.acc_seg: 73.6973, loss: 0.2407 +2022-03-14 20:53:44,394 - mmseg - INFO - Iter [87600/160000] lr: 6.497e-07, eta: 17:38:53, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1471, decode.acc_seg: 74.4162, aux.loss_ce: 0.0797, aux.acc_seg: 73.2240, loss: 0.2269 +2022-03-14 20:54:27,950 - mmseg - INFO - Iter [87650/160000] lr: 6.493e-07, eta: 17:38:09, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1498, decode.acc_seg: 76.3038, aux.loss_ce: 0.0804, aux.acc_seg: 74.9703, loss: 0.2302 +2022-03-14 20:55:11,419 - mmseg - INFO - Iter [87700/160000] lr: 6.488e-07, eta: 17:37:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1502, decode.acc_seg: 75.8033, aux.loss_ce: 0.0804, aux.acc_seg: 74.4629, loss: 0.2306 +2022-03-14 20:55:54,779 - mmseg - INFO - Iter [87750/160000] lr: 6.484e-07, eta: 17:36:41, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1616, decode.acc_seg: 75.5059, aux.loss_ce: 0.0858, aux.acc_seg: 74.1824, loss: 0.2473 +2022-03-14 20:56:38,140 - mmseg - INFO - Iter [87800/160000] lr: 6.479e-07, eta: 17:35:56, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1573, decode.acc_seg: 75.3739, aux.loss_ce: 0.0844, aux.acc_seg: 74.1164, loss: 0.2417 +2022-03-14 20:57:21,609 - mmseg - INFO - Iter [87850/160000] lr: 6.475e-07, eta: 17:35:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1554, decode.acc_seg: 75.6083, aux.loss_ce: 0.0821, aux.acc_seg: 74.3989, loss: 0.2374 +2022-03-14 20:58:04,900 - mmseg - INFO - Iter [87900/160000] lr: 6.470e-07, eta: 17:34:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1581, decode.acc_seg: 75.5794, aux.loss_ce: 0.0849, aux.acc_seg: 74.1429, loss: 0.2430 +2022-03-14 20:58:48,176 - mmseg - INFO - Iter [87950/160000] lr: 6.466e-07, eta: 17:33:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1528, decode.acc_seg: 74.9069, aux.loss_ce: 0.0811, aux.acc_seg: 73.7083, loss: 0.2339 +2022-03-14 20:59:31,492 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 20:59:31,496 - mmseg - INFO - Iter [88000/160000] lr: 6.461e-07, eta: 17:32:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1593, decode.acc_seg: 74.8356, aux.loss_ce: 0.0846, aux.acc_seg: 73.5330, loss: 0.2438 +2022-03-14 21:00:15,145 - mmseg - INFO - Iter [88050/160000] lr: 6.457e-07, eta: 17:32:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1566, decode.acc_seg: 75.8720, aux.loss_ce: 0.0832, aux.acc_seg: 74.5114, loss: 0.2398 +2022-03-14 21:00:58,805 - mmseg - INFO - Iter [88100/160000] lr: 6.452e-07, eta: 17:31:31, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1581, decode.acc_seg: 74.9865, aux.loss_ce: 0.0847, aux.acc_seg: 73.5865, loss: 0.2428 +2022-03-14 21:01:42,233 - mmseg - INFO - Iter [88150/160000] lr: 6.448e-07, eta: 17:30:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1575, decode.acc_seg: 74.9626, aux.loss_ce: 0.0846, aux.acc_seg: 73.6832, loss: 0.2421 +2022-03-14 21:02:25,701 - mmseg - INFO - Iter [88200/160000] lr: 6.443e-07, eta: 17:30:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1495, decode.acc_seg: 74.4595, aux.loss_ce: 0.0806, aux.acc_seg: 73.1582, loss: 0.2300 +2022-03-14 21:03:09,252 - mmseg - INFO - Iter [88250/160000] lr: 6.439e-07, eta: 17:29:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1491, decode.acc_seg: 75.7831, aux.loss_ce: 0.0800, aux.acc_seg: 74.5340, loss: 0.2291 +2022-03-14 21:03:52,615 - mmseg - INFO - Iter [88300/160000] lr: 6.434e-07, eta: 17:28:34, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1567, decode.acc_seg: 75.5392, aux.loss_ce: 0.0821, aux.acc_seg: 74.3949, loss: 0.2389 +2022-03-14 21:04:36,100 - mmseg - INFO - Iter [88350/160000] lr: 6.430e-07, eta: 17:27:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1588, decode.acc_seg: 75.5656, aux.loss_ce: 0.0860, aux.acc_seg: 74.1834, loss: 0.2447 +2022-03-14 21:05:19,556 - mmseg - INFO - Iter [88400/160000] lr: 6.425e-07, eta: 17:27:06, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1500, decode.acc_seg: 75.3931, aux.loss_ce: 0.0801, aux.acc_seg: 74.1675, loss: 0.2302 +2022-03-14 21:06:05,278 - mmseg - INFO - Iter [88450/160000] lr: 6.421e-07, eta: 17:26:23, time: 0.914, data_time: 0.049, memory: 73034, decode.loss_ce: 0.1592, decode.acc_seg: 74.9314, aux.loss_ce: 0.0847, aux.acc_seg: 73.7346, loss: 0.2439 +2022-03-14 21:06:48,492 - mmseg - INFO - Iter [88500/160000] lr: 6.416e-07, eta: 17:25:39, time: 0.864, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1550, decode.acc_seg: 75.9533, aux.loss_ce: 0.0813, aux.acc_seg: 74.7468, loss: 0.2363 +2022-03-14 21:07:31,906 - mmseg - INFO - Iter [88550/160000] lr: 6.412e-07, eta: 17:24:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1522, decode.acc_seg: 76.8182, aux.loss_ce: 0.0799, aux.acc_seg: 75.6515, loss: 0.2322 +2022-03-14 21:08:15,191 - mmseg - INFO - Iter [88600/160000] lr: 6.407e-07, eta: 17:24:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1624, decode.acc_seg: 75.4510, aux.loss_ce: 0.0852, aux.acc_seg: 74.2117, loss: 0.2476 +2022-03-14 21:08:58,289 - mmseg - INFO - Iter [88650/160000] lr: 6.403e-07, eta: 17:23:26, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1528, decode.acc_seg: 75.5917, aux.loss_ce: 0.0800, aux.acc_seg: 74.4575, loss: 0.2328 +2022-03-14 21:09:41,595 - mmseg - INFO - Iter [88700/160000] lr: 6.398e-07, eta: 17:22:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1519, decode.acc_seg: 75.1331, aux.loss_ce: 0.0808, aux.acc_seg: 73.8237, loss: 0.2327 +2022-03-14 21:10:24,981 - mmseg - INFO - Iter [88750/160000] lr: 6.394e-07, eta: 17:21:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1575, decode.acc_seg: 75.9908, aux.loss_ce: 0.0836, aux.acc_seg: 74.7638, loss: 0.2412 +2022-03-14 21:11:08,356 - mmseg - INFO - Iter [88800/160000] lr: 6.389e-07, eta: 17:21:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1590, decode.acc_seg: 76.7394, aux.loss_ce: 0.0845, aux.acc_seg: 75.5065, loss: 0.2435 +2022-03-14 21:11:51,912 - mmseg - INFO - Iter [88850/160000] lr: 6.385e-07, eta: 17:20:29, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1533, decode.acc_seg: 75.6118, aux.loss_ce: 0.0836, aux.acc_seg: 74.2601, loss: 0.2369 +2022-03-14 21:12:35,291 - mmseg - INFO - Iter [88900/160000] lr: 6.380e-07, eta: 17:19:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1479, decode.acc_seg: 76.0686, aux.loss_ce: 0.0798, aux.acc_seg: 74.7619, loss: 0.2277 +2022-03-14 21:13:18,884 - mmseg - INFO - Iter [88950/160000] lr: 6.376e-07, eta: 17:19:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1481, decode.acc_seg: 75.7914, aux.loss_ce: 0.0778, aux.acc_seg: 74.5839, loss: 0.2259 +2022-03-14 21:14:02,338 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 21:14:02,341 - mmseg - INFO - Iter [89000/160000] lr: 6.371e-07, eta: 17:18:16, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1526, decode.acc_seg: 73.6979, aux.loss_ce: 0.0818, aux.acc_seg: 72.4350, loss: 0.2343 +2022-03-14 21:14:46,034 - mmseg - INFO - Iter [89050/160000] lr: 6.367e-07, eta: 17:17:32, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1509, decode.acc_seg: 74.9220, aux.loss_ce: 0.0810, aux.acc_seg: 73.6256, loss: 0.2318 +2022-03-14 21:15:29,502 - mmseg - INFO - Iter [89100/160000] lr: 6.362e-07, eta: 17:16:48, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1579, decode.acc_seg: 75.3337, aux.loss_ce: 0.0836, aux.acc_seg: 74.0613, loss: 0.2415 +2022-03-14 21:16:12,727 - mmseg - INFO - Iter [89150/160000] lr: 6.358e-07, eta: 17:16:04, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1550, decode.acc_seg: 76.0387, aux.loss_ce: 0.0847, aux.acc_seg: 74.6175, loss: 0.2397 +2022-03-14 21:16:55,973 - mmseg - INFO - Iter [89200/160000] lr: 6.353e-07, eta: 17:15:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1449, decode.acc_seg: 76.9327, aux.loss_ce: 0.0765, aux.acc_seg: 75.7622, loss: 0.2214 +2022-03-14 21:17:39,493 - mmseg - INFO - Iter [89250/160000] lr: 6.349e-07, eta: 17:14:35, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 75.8067, aux.loss_ce: 0.0827, aux.acc_seg: 74.3741, loss: 0.2355 +2022-03-14 21:18:23,104 - mmseg - INFO - Iter [89300/160000] lr: 6.345e-07, eta: 17:13:51, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1613, decode.acc_seg: 74.6172, aux.loss_ce: 0.0862, aux.acc_seg: 73.2619, loss: 0.2476 +2022-03-14 21:19:06,342 - mmseg - INFO - Iter [89350/160000] lr: 6.340e-07, eta: 17:13:07, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1437, decode.acc_seg: 76.4919, aux.loss_ce: 0.0772, aux.acc_seg: 75.2306, loss: 0.2209 +2022-03-14 21:19:49,591 - mmseg - INFO - Iter [89400/160000] lr: 6.336e-07, eta: 17:12:22, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1427, decode.acc_seg: 75.2552, aux.loss_ce: 0.0775, aux.acc_seg: 73.9303, loss: 0.2202 +2022-03-14 21:20:33,045 - mmseg - INFO - Iter [89450/160000] lr: 6.331e-07, eta: 17:11:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1599, decode.acc_seg: 75.0573, aux.loss_ce: 0.0855, aux.acc_seg: 73.8128, loss: 0.2454 +2022-03-14 21:21:16,414 - mmseg - INFO - Iter [89500/160000] lr: 6.327e-07, eta: 17:10:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1425, decode.acc_seg: 75.9652, aux.loss_ce: 0.0764, aux.acc_seg: 74.8181, loss: 0.2189 +2022-03-14 21:21:59,742 - mmseg - INFO - Iter [89550/160000] lr: 6.322e-07, eta: 17:10:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1551, decode.acc_seg: 75.9079, aux.loss_ce: 0.0829, aux.acc_seg: 74.7265, loss: 0.2380 +2022-03-14 21:22:43,114 - mmseg - INFO - Iter [89600/160000] lr: 6.318e-07, eta: 17:09:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1541, decode.acc_seg: 74.5016, aux.loss_ce: 0.0831, aux.acc_seg: 73.1448, loss: 0.2373 +2022-03-14 21:23:26,549 - mmseg - INFO - Iter [89650/160000] lr: 6.313e-07, eta: 17:08:41, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1465, decode.acc_seg: 75.1910, aux.loss_ce: 0.0786, aux.acc_seg: 73.8712, loss: 0.2251 +2022-03-14 21:24:12,289 - mmseg - INFO - Iter [89700/160000] lr: 6.309e-07, eta: 17:07:59, time: 0.915, data_time: 0.050, memory: 73034, decode.loss_ce: 0.1551, decode.acc_seg: 75.9673, aux.loss_ce: 0.0822, aux.acc_seg: 74.8446, loss: 0.2373 +2022-03-14 21:24:55,603 - mmseg - INFO - Iter [89750/160000] lr: 6.304e-07, eta: 17:07:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 77.2793, aux.loss_ce: 0.0776, aux.acc_seg: 76.0067, loss: 0.2231 +2022-03-14 21:25:38,954 - mmseg - INFO - Iter [89800/160000] lr: 6.300e-07, eta: 17:06:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1396, decode.acc_seg: 75.0914, aux.loss_ce: 0.0759, aux.acc_seg: 73.8654, loss: 0.2155 +2022-03-14 21:26:22,187 - mmseg - INFO - Iter [89850/160000] lr: 6.295e-07, eta: 17:05:46, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1436, decode.acc_seg: 76.4285, aux.loss_ce: 0.0757, aux.acc_seg: 75.3598, loss: 0.2192 +2022-03-14 21:27:05,472 - mmseg - INFO - Iter [89900/160000] lr: 6.291e-07, eta: 17:05:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1511, decode.acc_seg: 74.4515, aux.loss_ce: 0.0826, aux.acc_seg: 73.1022, loss: 0.2337 +2022-03-14 21:27:49,168 - mmseg - INFO - Iter [89950/160000] lr: 6.286e-07, eta: 17:04:17, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1536, decode.acc_seg: 76.7665, aux.loss_ce: 0.0814, aux.acc_seg: 75.5027, loss: 0.2351 +2022-03-14 21:28:32,585 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 21:28:32,590 - mmseg - INFO - Iter [90000/160000] lr: 6.282e-07, eta: 17:03:33, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1461, decode.acc_seg: 74.8068, aux.loss_ce: 0.0788, aux.acc_seg: 73.5833, loss: 0.2249 +2022-03-14 21:29:16,036 - mmseg - INFO - Iter [90050/160000] lr: 6.277e-07, eta: 17:02:49, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1446, decode.acc_seg: 75.9084, aux.loss_ce: 0.0776, aux.acc_seg: 74.6874, loss: 0.2222 +2022-03-14 21:29:59,383 - mmseg - INFO - Iter [90100/160000] lr: 6.273e-07, eta: 17:02:05, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 75.7179, aux.loss_ce: 0.0838, aux.acc_seg: 74.3413, loss: 0.2382 +2022-03-14 21:30:42,755 - mmseg - INFO - Iter [90150/160000] lr: 6.268e-07, eta: 17:01:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1531, decode.acc_seg: 76.7719, aux.loss_ce: 0.0816, aux.acc_seg: 75.4910, loss: 0.2347 +2022-03-14 21:31:26,144 - mmseg - INFO - Iter [90200/160000] lr: 6.264e-07, eta: 17:00:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1520, decode.acc_seg: 74.2124, aux.loss_ce: 0.0823, aux.acc_seg: 72.9617, loss: 0.2344 +2022-03-14 21:32:09,409 - mmseg - INFO - Iter [90250/160000] lr: 6.259e-07, eta: 16:59:52, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1590, decode.acc_seg: 76.8252, aux.loss_ce: 0.0852, aux.acc_seg: 75.4114, loss: 0.2442 +2022-03-14 21:32:52,876 - mmseg - INFO - Iter [90300/160000] lr: 6.255e-07, eta: 16:59:08, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1567, decode.acc_seg: 74.7258, aux.loss_ce: 0.0835, aux.acc_seg: 73.4105, loss: 0.2402 +2022-03-14 21:33:36,056 - mmseg - INFO - Iter [90350/160000] lr: 6.250e-07, eta: 16:58:23, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1483, decode.acc_seg: 74.9640, aux.loss_ce: 0.0785, aux.acc_seg: 73.7729, loss: 0.2268 +2022-03-14 21:34:19,343 - mmseg - INFO - Iter [90400/160000] lr: 6.246e-07, eta: 16:57:39, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1486, decode.acc_seg: 76.1117, aux.loss_ce: 0.0812, aux.acc_seg: 74.7154, loss: 0.2298 +2022-03-14 21:35:02,895 - mmseg - INFO - Iter [90450/160000] lr: 6.241e-07, eta: 16:56:55, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1527, decode.acc_seg: 75.8839, aux.loss_ce: 0.0821, aux.acc_seg: 74.5753, loss: 0.2348 +2022-03-14 21:35:46,300 - mmseg - INFO - Iter [90500/160000] lr: 6.237e-07, eta: 16:56:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 76.4410, aux.loss_ce: 0.0766, aux.acc_seg: 75.2951, loss: 0.2224 +2022-03-14 21:36:29,887 - mmseg - INFO - Iter [90550/160000] lr: 6.232e-07, eta: 16:55:27, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 76.3881, aux.loss_ce: 0.0834, aux.acc_seg: 74.9920, loss: 0.2379 +2022-03-14 21:37:13,195 - mmseg - INFO - Iter [90600/160000] lr: 6.228e-07, eta: 16:54:42, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1495, decode.acc_seg: 75.5573, aux.loss_ce: 0.0801, aux.acc_seg: 74.3282, loss: 0.2296 +2022-03-14 21:37:56,598 - mmseg - INFO - Iter [90650/160000] lr: 6.223e-07, eta: 16:53:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1478, decode.acc_seg: 76.0833, aux.loss_ce: 0.0796, aux.acc_seg: 74.8289, loss: 0.2274 +2022-03-14 21:38:40,120 - mmseg - INFO - Iter [90700/160000] lr: 6.219e-07, eta: 16:53:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1595, decode.acc_seg: 76.0314, aux.loss_ce: 0.0855, aux.acc_seg: 74.6635, loss: 0.2450 +2022-03-14 21:39:23,452 - mmseg - INFO - Iter [90750/160000] lr: 6.214e-07, eta: 16:52:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 75.9196, aux.loss_ce: 0.0776, aux.acc_seg: 74.6896, loss: 0.2234 +2022-03-14 21:40:07,275 - mmseg - INFO - Iter [90800/160000] lr: 6.210e-07, eta: 16:51:46, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 75.2640, aux.loss_ce: 0.0792, aux.acc_seg: 73.9698, loss: 0.2259 +2022-03-14 21:40:50,664 - mmseg - INFO - Iter [90850/160000] lr: 6.205e-07, eta: 16:51:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1448, decode.acc_seg: 75.6315, aux.loss_ce: 0.0768, aux.acc_seg: 74.5070, loss: 0.2215 +2022-03-14 21:41:34,056 - mmseg - INFO - Iter [90900/160000] lr: 6.201e-07, eta: 16:50:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1471, decode.acc_seg: 75.1791, aux.loss_ce: 0.0792, aux.acc_seg: 73.9599, loss: 0.2263 +2022-03-14 21:42:19,850 - mmseg - INFO - Iter [90950/160000] lr: 6.196e-07, eta: 16:49:35, time: 0.916, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1619, decode.acc_seg: 75.8719, aux.loss_ce: 0.0861, aux.acc_seg: 74.6050, loss: 0.2480 +2022-03-14 21:43:03,720 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 21:43:03,723 - mmseg - INFO - Iter [91000/160000] lr: 6.192e-07, eta: 16:48:51, time: 0.878, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1492, decode.acc_seg: 76.0273, aux.loss_ce: 0.0793, aux.acc_seg: 74.8923, loss: 0.2285 +2022-03-14 21:43:47,008 - mmseg - INFO - Iter [91050/160000] lr: 6.187e-07, eta: 16:48:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1430, decode.acc_seg: 76.4562, aux.loss_ce: 0.0771, aux.acc_seg: 75.1840, loss: 0.2201 +2022-03-14 21:44:30,322 - mmseg - INFO - Iter [91100/160000] lr: 6.183e-07, eta: 16:47:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1457, decode.acc_seg: 75.6705, aux.loss_ce: 0.0787, aux.acc_seg: 74.3586, loss: 0.2244 +2022-03-14 21:45:13,566 - mmseg - INFO - Iter [91150/160000] lr: 6.178e-07, eta: 16:46:38, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1549, decode.acc_seg: 75.6250, aux.loss_ce: 0.0823, aux.acc_seg: 74.3133, loss: 0.2372 +2022-03-14 21:45:57,077 - mmseg - INFO - Iter [91200/160000] lr: 6.174e-07, eta: 16:45:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1531, decode.acc_seg: 76.0291, aux.loss_ce: 0.0797, aux.acc_seg: 74.8077, loss: 0.2328 +2022-03-14 21:46:40,461 - mmseg - INFO - Iter [91250/160000] lr: 6.170e-07, eta: 16:45:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1425, decode.acc_seg: 75.6085, aux.loss_ce: 0.0750, aux.acc_seg: 74.4773, loss: 0.2175 +2022-03-14 21:47:24,090 - mmseg - INFO - Iter [91300/160000] lr: 6.165e-07, eta: 16:44:26, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1522, decode.acc_seg: 75.4163, aux.loss_ce: 0.0819, aux.acc_seg: 74.1975, loss: 0.2341 +2022-03-14 21:48:07,302 - mmseg - INFO - Iter [91350/160000] lr: 6.161e-07, eta: 16:43:42, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1497, decode.acc_seg: 75.7077, aux.loss_ce: 0.0813, aux.acc_seg: 74.3914, loss: 0.2310 +2022-03-14 21:48:50,691 - mmseg - INFO - Iter [91400/160000] lr: 6.156e-07, eta: 16:42:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1449, decode.acc_seg: 75.6643, aux.loss_ce: 0.0782, aux.acc_seg: 74.3524, loss: 0.2231 +2022-03-14 21:49:33,965 - mmseg - INFO - Iter [91450/160000] lr: 6.152e-07, eta: 16:42:13, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1546, decode.acc_seg: 75.7443, aux.loss_ce: 0.0842, aux.acc_seg: 74.3113, loss: 0.2389 +2022-03-14 21:50:17,332 - mmseg - INFO - Iter [91500/160000] lr: 6.147e-07, eta: 16:41:29, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1498, decode.acc_seg: 76.2290, aux.loss_ce: 0.0807, aux.acc_seg: 74.9212, loss: 0.2305 +2022-03-14 21:51:00,793 - mmseg - INFO - Iter [91550/160000] lr: 6.143e-07, eta: 16:40:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1591, decode.acc_seg: 76.7779, aux.loss_ce: 0.0853, aux.acc_seg: 75.4105, loss: 0.2444 +2022-03-14 21:51:44,339 - mmseg - INFO - Iter [91600/160000] lr: 6.138e-07, eta: 16:40:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1611, decode.acc_seg: 75.4174, aux.loss_ce: 0.0838, aux.acc_seg: 74.1913, loss: 0.2449 +2022-03-14 21:52:27,878 - mmseg - INFO - Iter [91650/160000] lr: 6.134e-07, eta: 16:39:16, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1593, decode.acc_seg: 75.3319, aux.loss_ce: 0.0847, aux.acc_seg: 74.0095, loss: 0.2439 +2022-03-14 21:53:11,106 - mmseg - INFO - Iter [91700/160000] lr: 6.129e-07, eta: 16:38:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1466, decode.acc_seg: 75.2233, aux.loss_ce: 0.0781, aux.acc_seg: 74.0564, loss: 0.2248 +2022-03-14 21:53:54,350 - mmseg - INFO - Iter [91750/160000] lr: 6.125e-07, eta: 16:37:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1452, decode.acc_seg: 76.5698, aux.loss_ce: 0.0793, aux.acc_seg: 75.2531, loss: 0.2245 +2022-03-14 21:54:37,753 - mmseg - INFO - Iter [91800/160000] lr: 6.120e-07, eta: 16:37:04, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1500, decode.acc_seg: 74.5335, aux.loss_ce: 0.0796, aux.acc_seg: 73.2562, loss: 0.2296 +2022-03-14 21:55:21,082 - mmseg - INFO - Iter [91850/160000] lr: 6.116e-07, eta: 16:36:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1505, decode.acc_seg: 75.7334, aux.loss_ce: 0.0793, aux.acc_seg: 74.6003, loss: 0.2298 +2022-03-14 21:56:04,382 - mmseg - INFO - Iter [91900/160000] lr: 6.111e-07, eta: 16:35:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 76.8398, aux.loss_ce: 0.0801, aux.acc_seg: 75.7384, loss: 0.2314 +2022-03-14 21:56:47,841 - mmseg - INFO - Iter [91950/160000] lr: 6.107e-07, eta: 16:34:51, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1558, decode.acc_seg: 75.6442, aux.loss_ce: 0.0847, aux.acc_seg: 74.2374, loss: 0.2405 +2022-03-14 21:57:31,285 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 21:57:31,290 - mmseg - INFO - Iter [92000/160000] lr: 6.102e-07, eta: 16:34:07, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 78.5022, aux.loss_ce: 0.0830, aux.acc_seg: 77.1617, loss: 0.2359 +2022-03-14 21:58:14,807 - mmseg - INFO - Iter [92050/160000] lr: 6.098e-07, eta: 16:33:23, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1530, decode.acc_seg: 74.8101, aux.loss_ce: 0.0796, aux.acc_seg: 73.7520, loss: 0.2326 +2022-03-14 21:58:58,303 - mmseg - INFO - Iter [92100/160000] lr: 6.093e-07, eta: 16:32:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1490, decode.acc_seg: 76.3454, aux.loss_ce: 0.0793, aux.acc_seg: 75.0628, loss: 0.2283 +2022-03-14 21:59:41,497 - mmseg - INFO - Iter [92150/160000] lr: 6.089e-07, eta: 16:31:54, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 76.2889, aux.loss_ce: 0.0808, aux.acc_seg: 75.0485, loss: 0.2275 +2022-03-14 22:00:27,402 - mmseg - INFO - Iter [92200/160000] lr: 6.084e-07, eta: 16:31:12, time: 0.918, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1521, decode.acc_seg: 76.4208, aux.loss_ce: 0.0814, aux.acc_seg: 75.1409, loss: 0.2335 +2022-03-14 22:01:10,977 - mmseg - INFO - Iter [92250/160000] lr: 6.080e-07, eta: 16:30:28, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1492, decode.acc_seg: 75.0367, aux.loss_ce: 0.0799, aux.acc_seg: 73.7458, loss: 0.2290 +2022-03-14 22:01:54,279 - mmseg - INFO - Iter [92300/160000] lr: 6.075e-07, eta: 16:29:43, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1496, decode.acc_seg: 73.8878, aux.loss_ce: 0.0802, aux.acc_seg: 72.5397, loss: 0.2297 +2022-03-14 22:02:37,636 - mmseg - INFO - Iter [92350/160000] lr: 6.071e-07, eta: 16:28:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1541, decode.acc_seg: 75.9692, aux.loss_ce: 0.0828, aux.acc_seg: 74.6871, loss: 0.2368 +2022-03-14 22:03:20,976 - mmseg - INFO - Iter [92400/160000] lr: 6.066e-07, eta: 16:28:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1511, decode.acc_seg: 75.1206, aux.loss_ce: 0.0796, aux.acc_seg: 73.9419, loss: 0.2306 +2022-03-14 22:04:04,330 - mmseg - INFO - Iter [92450/160000] lr: 6.062e-07, eta: 16:27:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 75.7562, aux.loss_ce: 0.0791, aux.acc_seg: 74.3419, loss: 0.2258 +2022-03-14 22:04:47,708 - mmseg - INFO - Iter [92500/160000] lr: 6.057e-07, eta: 16:26:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1568, decode.acc_seg: 74.9840, aux.loss_ce: 0.0826, aux.acc_seg: 73.7723, loss: 0.2394 +2022-03-14 22:05:31,121 - mmseg - INFO - Iter [92550/160000] lr: 6.053e-07, eta: 16:26:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1588, decode.acc_seg: 76.1825, aux.loss_ce: 0.0849, aux.acc_seg: 74.8313, loss: 0.2437 +2022-03-14 22:06:15,126 - mmseg - INFO - Iter [92600/160000] lr: 6.048e-07, eta: 16:25:19, time: 0.882, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1497, decode.acc_seg: 76.2823, aux.loss_ce: 0.0797, aux.acc_seg: 75.0565, loss: 0.2295 +2022-03-14 22:06:58,683 - mmseg - INFO - Iter [92650/160000] lr: 6.044e-07, eta: 16:24:35, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1483, decode.acc_seg: 75.5745, aux.loss_ce: 0.0797, aux.acc_seg: 74.3387, loss: 0.2280 +2022-03-14 22:07:42,185 - mmseg - INFO - Iter [92700/160000] lr: 6.039e-07, eta: 16:23:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 76.2077, aux.loss_ce: 0.0818, aux.acc_seg: 74.9127, loss: 0.2347 +2022-03-14 22:08:25,447 - mmseg - INFO - Iter [92750/160000] lr: 6.035e-07, eta: 16:23:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1403, decode.acc_seg: 75.4275, aux.loss_ce: 0.0746, aux.acc_seg: 74.2604, loss: 0.2149 +2022-03-14 22:09:08,750 - mmseg - INFO - Iter [92800/160000] lr: 6.030e-07, eta: 16:22:22, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 76.1830, aux.loss_ce: 0.0835, aux.acc_seg: 74.7322, loss: 0.2391 +2022-03-14 22:09:51,963 - mmseg - INFO - Iter [92850/160000] lr: 6.026e-07, eta: 16:21:38, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1508, decode.acc_seg: 75.5111, aux.loss_ce: 0.0793, aux.acc_seg: 74.3946, loss: 0.2302 +2022-03-14 22:10:35,565 - mmseg - INFO - Iter [92900/160000] lr: 6.021e-07, eta: 16:20:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1457, decode.acc_seg: 75.8717, aux.loss_ce: 0.0793, aux.acc_seg: 74.4954, loss: 0.2250 +2022-03-14 22:11:18,948 - mmseg - INFO - Iter [92950/160000] lr: 6.017e-07, eta: 16:20:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1483, decode.acc_seg: 75.5747, aux.loss_ce: 0.0788, aux.acc_seg: 74.2510, loss: 0.2270 +2022-03-14 22:12:02,457 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 22:12:02,461 - mmseg - INFO - Iter [93000/160000] lr: 6.012e-07, eta: 16:19:25, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1497, decode.acc_seg: 75.2869, aux.loss_ce: 0.0807, aux.acc_seg: 73.9104, loss: 0.2303 +2022-03-14 22:12:46,062 - mmseg - INFO - Iter [93050/160000] lr: 6.008e-07, eta: 16:18:41, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1445, decode.acc_seg: 75.4300, aux.loss_ce: 0.0782, aux.acc_seg: 74.2046, loss: 0.2227 +2022-03-14 22:13:29,477 - mmseg - INFO - Iter [93100/160000] lr: 6.004e-07, eta: 16:17:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1495, decode.acc_seg: 74.0600, aux.loss_ce: 0.0819, aux.acc_seg: 72.6547, loss: 0.2314 +2022-03-14 22:14:12,726 - mmseg - INFO - Iter [93150/160000] lr: 5.999e-07, eta: 16:17:13, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 75.7995, aux.loss_ce: 0.0826, aux.acc_seg: 74.5273, loss: 0.2371 +2022-03-14 22:14:56,291 - mmseg - INFO - Iter [93200/160000] lr: 5.995e-07, eta: 16:16:29, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1517, decode.acc_seg: 75.1092, aux.loss_ce: 0.0800, aux.acc_seg: 73.7802, loss: 0.2317 +2022-03-14 22:15:39,546 - mmseg - INFO - Iter [93250/160000] lr: 5.990e-07, eta: 16:15:44, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1504, decode.acc_seg: 74.6467, aux.loss_ce: 0.0802, aux.acc_seg: 73.4205, loss: 0.2306 +2022-03-14 22:16:22,801 - mmseg - INFO - Iter [93300/160000] lr: 5.986e-07, eta: 16:15:00, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 75.7625, aux.loss_ce: 0.0799, aux.acc_seg: 74.5073, loss: 0.2313 +2022-03-14 22:17:06,243 - mmseg - INFO - Iter [93350/160000] lr: 5.981e-07, eta: 16:14:16, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1531, decode.acc_seg: 75.4739, aux.loss_ce: 0.0801, aux.acc_seg: 74.3186, loss: 0.2332 +2022-03-14 22:17:49,540 - mmseg - INFO - Iter [93400/160000] lr: 5.977e-07, eta: 16:13:32, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1575, decode.acc_seg: 76.2684, aux.loss_ce: 0.0844, aux.acc_seg: 74.9358, loss: 0.2419 +2022-03-14 22:18:32,992 - mmseg - INFO - Iter [93450/160000] lr: 5.972e-07, eta: 16:12:48, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1425, decode.acc_seg: 74.4870, aux.loss_ce: 0.0762, aux.acc_seg: 73.1651, loss: 0.2186 +2022-03-14 22:19:19,049 - mmseg - INFO - Iter [93500/160000] lr: 5.968e-07, eta: 16:12:05, time: 0.921, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1459, decode.acc_seg: 75.4069, aux.loss_ce: 0.0801, aux.acc_seg: 73.9402, loss: 0.2261 +2022-03-14 22:20:02,535 - mmseg - INFO - Iter [93550/160000] lr: 5.963e-07, eta: 16:11:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1533, decode.acc_seg: 74.7681, aux.loss_ce: 0.0804, aux.acc_seg: 73.6453, loss: 0.2337 +2022-03-14 22:20:45,951 - mmseg - INFO - Iter [93600/160000] lr: 5.959e-07, eta: 16:10:37, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 76.9352, aux.loss_ce: 0.0744, aux.acc_seg: 75.7313, loss: 0.2128 +2022-03-14 22:21:29,509 - mmseg - INFO - Iter [93650/160000] lr: 5.954e-07, eta: 16:09:53, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1502, decode.acc_seg: 76.6411, aux.loss_ce: 0.0817, aux.acc_seg: 75.3479, loss: 0.2319 +2022-03-14 22:22:12,904 - mmseg - INFO - Iter [93700/160000] lr: 5.950e-07, eta: 16:09:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1462, decode.acc_seg: 76.1807, aux.loss_ce: 0.0780, aux.acc_seg: 75.0382, loss: 0.2243 +2022-03-14 22:22:56,316 - mmseg - INFO - Iter [93750/160000] lr: 5.945e-07, eta: 16:08:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 75.1316, aux.loss_ce: 0.0760, aux.acc_seg: 73.9777, loss: 0.2180 +2022-03-14 22:23:39,544 - mmseg - INFO - Iter [93800/160000] lr: 5.941e-07, eta: 16:07:40, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1424, decode.acc_seg: 75.8591, aux.loss_ce: 0.0760, aux.acc_seg: 74.7083, loss: 0.2185 +2022-03-14 22:24:22,770 - mmseg - INFO - Iter [93850/160000] lr: 5.936e-07, eta: 16:06:56, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1515, decode.acc_seg: 75.4762, aux.loss_ce: 0.0807, aux.acc_seg: 74.2874, loss: 0.2322 +2022-03-14 22:25:05,971 - mmseg - INFO - Iter [93900/160000] lr: 5.932e-07, eta: 16:06:12, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1435, decode.acc_seg: 76.0689, aux.loss_ce: 0.0767, aux.acc_seg: 74.8602, loss: 0.2203 +2022-03-14 22:25:49,240 - mmseg - INFO - Iter [93950/160000] lr: 5.927e-07, eta: 16:05:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1429, decode.acc_seg: 75.9149, aux.loss_ce: 0.0773, aux.acc_seg: 74.6288, loss: 0.2203 +2022-03-14 22:26:32,603 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 22:26:32,607 - mmseg - INFO - Iter [94000/160000] lr: 5.923e-07, eta: 16:04:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1432, decode.acc_seg: 75.7944, aux.loss_ce: 0.0769, aux.acc_seg: 74.5786, loss: 0.2200 +2022-03-14 22:27:16,118 - mmseg - INFO - Iter [94050/160000] lr: 5.918e-07, eta: 16:03:59, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1504, decode.acc_seg: 75.2438, aux.loss_ce: 0.0791, aux.acc_seg: 74.0033, loss: 0.2295 +2022-03-14 22:27:59,487 - mmseg - INFO - Iter [94100/160000] lr: 5.914e-07, eta: 16:03:15, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1554, decode.acc_seg: 76.4414, aux.loss_ce: 0.0843, aux.acc_seg: 75.1061, loss: 0.2397 +2022-03-14 22:28:42,842 - mmseg - INFO - Iter [94150/160000] lr: 5.909e-07, eta: 16:02:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1547, decode.acc_seg: 75.4940, aux.loss_ce: 0.0817, aux.acc_seg: 74.3326, loss: 0.2365 +2022-03-14 22:29:26,310 - mmseg - INFO - Iter [94200/160000] lr: 5.905e-07, eta: 16:01:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1519, decode.acc_seg: 74.9504, aux.loss_ce: 0.0789, aux.acc_seg: 73.7989, loss: 0.2309 +2022-03-14 22:30:09,865 - mmseg - INFO - Iter [94250/160000] lr: 5.900e-07, eta: 16:01:03, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1479, decode.acc_seg: 76.3746, aux.loss_ce: 0.0789, aux.acc_seg: 75.1908, loss: 0.2268 +2022-03-14 22:30:53,045 - mmseg - INFO - Iter [94300/160000] lr: 5.896e-07, eta: 16:00:18, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1466, decode.acc_seg: 76.7642, aux.loss_ce: 0.0788, aux.acc_seg: 75.6101, loss: 0.2254 +2022-03-14 22:31:36,667 - mmseg - INFO - Iter [94350/160000] lr: 5.891e-07, eta: 15:59:34, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1587, decode.acc_seg: 76.3341, aux.loss_ce: 0.0859, aux.acc_seg: 74.8865, loss: 0.2446 +2022-03-14 22:32:19,970 - mmseg - INFO - Iter [94400/160000] lr: 5.887e-07, eta: 15:58:50, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1507, decode.acc_seg: 76.9862, aux.loss_ce: 0.0817, aux.acc_seg: 75.6227, loss: 0.2324 +2022-03-14 22:33:03,443 - mmseg - INFO - Iter [94450/160000] lr: 5.882e-07, eta: 15:58:06, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1518, decode.acc_seg: 74.9693, aux.loss_ce: 0.0808, aux.acc_seg: 73.6617, loss: 0.2326 +2022-03-14 22:33:47,208 - mmseg - INFO - Iter [94500/160000] lr: 5.878e-07, eta: 15:57:22, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1383, decode.acc_seg: 75.6033, aux.loss_ce: 0.0759, aux.acc_seg: 74.2621, loss: 0.2141 +2022-03-14 22:34:30,536 - mmseg - INFO - Iter [94550/160000] lr: 5.873e-07, eta: 15:56:38, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 75.6363, aux.loss_ce: 0.0779, aux.acc_seg: 74.4205, loss: 0.2246 +2022-03-14 22:35:14,009 - mmseg - INFO - Iter [94600/160000] lr: 5.869e-07, eta: 15:55:54, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1454, decode.acc_seg: 76.0623, aux.loss_ce: 0.0781, aux.acc_seg: 74.7145, loss: 0.2235 +2022-03-14 22:35:57,234 - mmseg - INFO - Iter [94650/160000] lr: 5.864e-07, eta: 15:55:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 75.1986, aux.loss_ce: 0.0803, aux.acc_seg: 74.0013, loss: 0.2316 +2022-03-14 22:36:40,529 - mmseg - INFO - Iter [94700/160000] lr: 5.860e-07, eta: 15:54:25, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1606, decode.acc_seg: 76.5828, aux.loss_ce: 0.0872, aux.acc_seg: 75.0931, loss: 0.2478 +2022-03-14 22:37:26,294 - mmseg - INFO - Iter [94750/160000] lr: 5.855e-07, eta: 15:53:43, time: 0.915, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1419, decode.acc_seg: 76.5626, aux.loss_ce: 0.0772, aux.acc_seg: 75.1967, loss: 0.2192 +2022-03-14 22:38:09,897 - mmseg - INFO - Iter [94800/160000] lr: 5.851e-07, eta: 15:52:59, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1485, decode.acc_seg: 75.3916, aux.loss_ce: 0.0796, aux.acc_seg: 74.2115, loss: 0.2281 +2022-03-14 22:38:53,537 - mmseg - INFO - Iter [94850/160000] lr: 5.846e-07, eta: 15:52:15, time: 0.875, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1485, decode.acc_seg: 74.8913, aux.loss_ce: 0.0804, aux.acc_seg: 73.5796, loss: 0.2289 +2022-03-14 22:39:37,200 - mmseg - INFO - Iter [94900/160000] lr: 5.842e-07, eta: 15:51:31, time: 0.873, data_time: 0.008, memory: 73034, decode.loss_ce: 0.1562, decode.acc_seg: 75.5419, aux.loss_ce: 0.0833, aux.acc_seg: 74.2336, loss: 0.2395 +2022-03-14 22:40:20,490 - mmseg - INFO - Iter [94950/160000] lr: 5.837e-07, eta: 15:50:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1391, decode.acc_seg: 75.4843, aux.loss_ce: 0.0750, aux.acc_seg: 74.2685, loss: 0.2141 +2022-03-14 22:41:03,702 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 22:41:03,710 - mmseg - INFO - Iter [95000/160000] lr: 5.833e-07, eta: 15:50:02, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1535, decode.acc_seg: 75.6626, aux.loss_ce: 0.0821, aux.acc_seg: 74.3535, loss: 0.2356 +2022-03-14 22:41:47,062 - mmseg - INFO - Iter [95050/160000] lr: 5.829e-07, eta: 15:49:18, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1418, decode.acc_seg: 76.9793, aux.loss_ce: 0.0785, aux.acc_seg: 75.6759, loss: 0.2203 +2022-03-14 22:42:30,497 - mmseg - INFO - Iter [95100/160000] lr: 5.824e-07, eta: 15:48:34, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1466, decode.acc_seg: 74.2847, aux.loss_ce: 0.0793, aux.acc_seg: 73.0571, loss: 0.2258 +2022-03-14 22:43:13,980 - mmseg - INFO - Iter [95150/160000] lr: 5.820e-07, eta: 15:47:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1454, decode.acc_seg: 76.0395, aux.loss_ce: 0.0772, aux.acc_seg: 74.8835, loss: 0.2226 +2022-03-14 22:43:57,266 - mmseg - INFO - Iter [95200/160000] lr: 5.815e-07, eta: 15:47:05, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 76.0069, aux.loss_ce: 0.0788, aux.acc_seg: 74.7870, loss: 0.2245 +2022-03-14 22:44:40,700 - mmseg - INFO - Iter [95250/160000] lr: 5.811e-07, eta: 15:46:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1515, decode.acc_seg: 76.3923, aux.loss_ce: 0.0809, aux.acc_seg: 75.0253, loss: 0.2323 +2022-03-14 22:45:24,126 - mmseg - INFO - Iter [95300/160000] lr: 5.806e-07, eta: 15:45:37, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1444, decode.acc_seg: 75.5301, aux.loss_ce: 0.0772, aux.acc_seg: 74.2057, loss: 0.2216 +2022-03-14 22:46:07,448 - mmseg - INFO - Iter [95350/160000] lr: 5.802e-07, eta: 15:44:53, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1448, decode.acc_seg: 75.9536, aux.loss_ce: 0.0761, aux.acc_seg: 74.8784, loss: 0.2209 +2022-03-14 22:46:51,054 - mmseg - INFO - Iter [95400/160000] lr: 5.797e-07, eta: 15:44:09, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1423, decode.acc_seg: 76.0662, aux.loss_ce: 0.0776, aux.acc_seg: 74.7490, loss: 0.2199 +2022-03-14 22:47:34,381 - mmseg - INFO - Iter [95450/160000] lr: 5.793e-07, eta: 15:43:25, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1400, decode.acc_seg: 74.9193, aux.loss_ce: 0.0769, aux.acc_seg: 73.6723, loss: 0.2169 +2022-03-14 22:48:18,076 - mmseg - INFO - Iter [95500/160000] lr: 5.788e-07, eta: 15:42:41, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1367, decode.acc_seg: 76.0628, aux.loss_ce: 0.0741, aux.acc_seg: 74.8909, loss: 0.2107 +2022-03-14 22:49:01,385 - mmseg - INFO - Iter [95550/160000] lr: 5.784e-07, eta: 15:41:57, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1459, decode.acc_seg: 76.0742, aux.loss_ce: 0.0787, aux.acc_seg: 74.8076, loss: 0.2245 +2022-03-14 22:49:44,633 - mmseg - INFO - Iter [95600/160000] lr: 5.779e-07, eta: 15:41:12, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1406, decode.acc_seg: 75.5443, aux.loss_ce: 0.0754, aux.acc_seg: 74.3451, loss: 0.2159 +2022-03-14 22:50:28,171 - mmseg - INFO - Iter [95650/160000] lr: 5.775e-07, eta: 15:40:28, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1406, decode.acc_seg: 75.8787, aux.loss_ce: 0.0757, aux.acc_seg: 74.6358, loss: 0.2163 +2022-03-14 22:51:11,448 - mmseg - INFO - Iter [95700/160000] lr: 5.770e-07, eta: 15:39:44, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1540, decode.acc_seg: 74.9597, aux.loss_ce: 0.0837, aux.acc_seg: 73.5907, loss: 0.2376 +2022-03-14 22:51:54,773 - mmseg - INFO - Iter [95750/160000] lr: 5.766e-07, eta: 15:39:00, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1478, decode.acc_seg: 76.3536, aux.loss_ce: 0.0802, aux.acc_seg: 75.1035, loss: 0.2281 +2022-03-14 22:52:38,066 - mmseg - INFO - Iter [95800/160000] lr: 5.761e-07, eta: 15:38:16, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1502, decode.acc_seg: 75.3322, aux.loss_ce: 0.0799, aux.acc_seg: 74.1553, loss: 0.2302 +2022-03-14 22:53:21,469 - mmseg - INFO - Iter [95850/160000] lr: 5.757e-07, eta: 15:37:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1539, decode.acc_seg: 75.4240, aux.loss_ce: 0.0810, aux.acc_seg: 74.2631, loss: 0.2349 +2022-03-14 22:54:04,906 - mmseg - INFO - Iter [95900/160000] lr: 5.752e-07, eta: 15:36:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1538, decode.acc_seg: 75.9030, aux.loss_ce: 0.0826, aux.acc_seg: 74.5686, loss: 0.2364 +2022-03-14 22:54:48,334 - mmseg - INFO - Iter [95950/160000] lr: 5.748e-07, eta: 15:36:03, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1373, decode.acc_seg: 75.6764, aux.loss_ce: 0.0741, aux.acc_seg: 74.4855, loss: 0.2114 +2022-03-14 22:55:33,902 - mmseg - INFO - Saving checkpoint at 96000 iterations +2022-03-14 22:55:44,156 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 22:55:44,156 - mmseg - INFO - Iter [96000/160000] lr: 5.743e-07, eta: 15:35:27, time: 1.111, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 74.5641, aux.loss_ce: 0.0771, aux.acc_seg: 73.1887, loss: 0.2191 +2022-03-14 22:57:07,308 - mmseg - INFO - per class results: +2022-03-14 22:57:07,318 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.76 | 89.05 | +| building | 85.02 | 93.25 | +| sky | 94.76 | 97.52 | +| floor | 84.28 | 91.36 | +| tree | 76.87 | 89.28 | +| ceiling | 86.53 | 94.32 | +| road | 85.64 | 91.54 | +| bed | 92.41 | 97.59 | +| windowpane | 64.38 | 80.93 | +| grass | 67.97 | 82.58 | +| cabinet | 65.8 | 77.15 | +| sidewalk | 71.28 | 83.89 | +| person | 84.37 | 94.67 | +| earth | 37.64 | 49.71 | +| door | 58.26 | 73.4 | +| table | 69.63 | 81.92 | +| mountain | 65.27 | 76.9 | +| plant | 54.67 | 69.32 | +| curtain | 78.6 | 88.85 | +| chair | 64.31 | 73.77 | +| car | 87.77 | 93.34 | +| water | 63.58 | 78.19 | +| painting | 75.11 | 91.84 | +| sofa | 79.04 | 88.63 | +| shelf | 46.43 | 64.35 | +| house | 60.3 | 71.97 | +| sea | 70.2 | 79.33 | +| mirror | 73.85 | 80.01 | +| rug | 66.76 | 77.61 | +| field | 35.09 | 51.27 | +| armchair | 57.82 | 76.92 | +| seat | 63.65 | 89.33 | +| fence | 44.22 | 57.51 | +| desk | 53.92 | 77.87 | +| rock | 56.38 | 88.52 | +| wardrobe | 54.26 | 72.11 | +| lamp | 71.88 | 81.37 | +| bathtub | 87.57 | 92.34 | +| railing | 38.86 | 53.99 | +| cushion | 65.85 | 82.67 | +| base | 45.18 | 56.71 | +| box | 37.9 | 50.77 | +| column | 51.68 | 68.91 | +| signboard | 42.24 | 56.34 | +| chest of drawers | 42.98 | 61.94 | +| counter | 49.53 | 55.92 | +| sand | 54.73 | 82.49 | +| sink | 81.22 | 90.1 | +| skyscraper | 56.71 | 71.53 | +| fireplace | 81.32 | 93.58 | +| refrigerator | 77.78 | 89.16 | +| grandstand | 54.67 | 84.95 | +| path | 24.58 | 33.99 | +| stairs | 32.0 | 37.76 | +| runway | 72.5 | 97.14 | +| case | 57.97 | 76.15 | +| pool table | 94.63 | 98.3 | +| pillow | 62.84 | 70.26 | +| screen door | 76.27 | 84.8 | +| stairway | 38.9 | 59.82 | +| river | 10.78 | 27.0 | +| bridge | 72.84 | 87.92 | +| bookcase | 47.46 | 71.04 | +| blind | 42.35 | 46.25 | +| coffee table | 66.15 | 83.12 | +| toilet | 90.44 | 94.55 | +| flower | 50.94 | 65.6 | +| book | 52.05 | 76.81 | +| hill | 12.4 | 18.22 | +| bench | 53.56 | 60.93 | +| countertop | 63.95 | 84.96 | +| stove | 81.77 | 86.92 | +| palm | 53.35 | 80.18 | +| kitchen island | 47.07 | 79.13 | +| computer | 80.43 | 90.79 | +| swivel chair | 51.69 | 83.99 | +| boat | 68.75 | 90.55 | +| bar | 68.41 | 84.98 | +| arcade machine | 89.09 | 93.29 | +| hovel | 44.67 | 46.11 | +| bus | 89.03 | 97.9 | +| towel | 72.75 | 83.68 | +| light | 60.05 | 68.45 | +| truck | 49.6 | 63.73 | +| tower | 22.34 | 36.31 | +| chandelier | 72.72 | 87.36 | +| awning | 38.89 | 49.44 | +| streetlight | 36.67 | 49.1 | +| booth | 55.14 | 69.85 | +| television receiver | 77.74 | 85.88 | +| airplane | 70.11 | 78.02 | +| dirt track | 0.0 | 0.0 | +| apparel | 57.13 | 72.8 | +| pole | 32.97 | 45.37 | +| land | 1.31 | 1.64 | +| bannister | 18.04 | 27.31 | +| escalator | 58.95 | 84.62 | +| ottoman | 50.01 | 68.68 | +| bottle | 42.69 | 69.39 | +| buffet | 57.42 | 70.95 | +| poster | 35.37 | 48.39 | +| stage | 21.93 | 43.37 | +| van | 44.09 | 65.68 | +| ship | 76.75 | 93.84 | +| fountain | 43.39 | 44.62 | +| conveyer belt | 83.61 | 95.57 | +| canopy | 46.2 | 63.52 | +| washer | 89.48 | 96.23 | +| plaything | 31.32 | 48.91 | +| swimming pool | 77.31 | 81.2 | +| stool | 52.11 | 69.15 | +| barrel | 70.9 | 87.51 | +| basket | 44.7 | 58.37 | +| waterfall | 49.55 | 57.08 | +| tent | 89.91 | 98.92 | +| bag | 20.48 | 24.58 | +| minibike | 74.9 | 89.56 | +| cradle | 87.48 | 97.77 | +| oven | 49.61 | 64.24 | +| ball | 58.95 | 66.64 | +| food | 60.43 | 77.93 | +| step | 18.58 | 22.59 | +| tank | 62.1 | 67.28 | +| trade name | 25.24 | 28.83 | +| microwave | 84.8 | 94.91 | +| pot | 57.58 | 67.75 | +| animal | 65.84 | 67.71 | +| bicycle | 61.56 | 80.81 | +| lake | 57.44 | 63.74 | +| dishwasher | 71.8 | 82.07 | +| screen | 62.84 | 80.72 | +| blanket | 25.06 | 29.28 | +| sculpture | 79.64 | 88.81 | +| hood | 59.35 | 72.75 | +| sconce | 58.82 | 71.09 | +| vase | 48.08 | 63.79 | +| traffic light | 43.99 | 62.11 | +| tray | 24.4 | 32.74 | +| ashcan | 49.3 | 67.16 | +| fan | 71.39 | 84.09 | +| pier | 39.14 | 43.01 | +| crt screen | 12.11 | 25.93 | +| plate | 62.34 | 80.82 | +| monitor | 33.09 | 38.13 | +| bulletin board | 51.01 | 57.36 | +| shower | 16.16 | 20.71 | +| radiator | 65.45 | 75.11 | +| glass | 21.98 | 23.3 | +| clock | 50.53 | 64.04 | +| flag | 46.02 | 52.14 | ++---------------------+-------+-------+ +2022-03-14 22:57:07,319 - mmseg - INFO - Summary: +2022-03-14 22:57:07,319 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 85.87 | 57.36 | 69.94 | ++-------+-------+-------+ +2022-03-14 22:57:07,325 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 22:57:07,326 - mmseg - INFO - Iter(val) [250] aAcc: 0.8587, mIoU: 0.5736, mAcc: 0.6994, IoU.wall: 0.8176, IoU.building: 0.8502, IoU.sky: 0.9476, IoU.floor: 0.8428, IoU.tree: 0.7687, IoU.ceiling: 0.8653, IoU.road: 0.8564, IoU.bed : 0.9241, IoU.windowpane: 0.6438, IoU.grass: 0.6797, IoU.cabinet: 0.6580, IoU.sidewalk: 0.7128, IoU.person: 0.8437, IoU.earth: 0.3764, IoU.door: 0.5826, IoU.table: 0.6963, IoU.mountain: 0.6527, IoU.plant: 0.5467, IoU.curtain: 0.7860, IoU.chair: 0.6431, IoU.car: 0.8777, IoU.water: 0.6358, IoU.painting: 0.7511, IoU.sofa: 0.7904, IoU.shelf: 0.4643, IoU.house: 0.6030, IoU.sea: 0.7020, IoU.mirror: 0.7385, IoU.rug: 0.6676, IoU.field: 0.3509, IoU.armchair: 0.5782, IoU.seat: 0.6365, IoU.fence: 0.4422, IoU.desk: 0.5392, IoU.rock: 0.5638, IoU.wardrobe: 0.5426, IoU.lamp: 0.7188, IoU.bathtub: 0.8757, IoU.railing: 0.3886, IoU.cushion: 0.6585, IoU.base: 0.4518, IoU.box: 0.3790, IoU.column: 0.5168, IoU.signboard: 0.4224, IoU.chest of drawers: 0.4298, IoU.counter: 0.4953, IoU.sand: 0.5473, IoU.sink: 0.8122, IoU.skyscraper: 0.5671, IoU.fireplace: 0.8132, IoU.refrigerator: 0.7778, IoU.grandstand: 0.5467, IoU.path: 0.2458, IoU.stairs: 0.3200, IoU.runway: 0.7250, IoU.case: 0.5797, IoU.pool table: 0.9463, IoU.pillow: 0.6284, IoU.screen door: 0.7627, IoU.stairway: 0.3890, IoU.river: 0.1078, IoU.bridge: 0.7284, IoU.bookcase: 0.4746, IoU.blind: 0.4235, IoU.coffee table: 0.6615, IoU.toilet: 0.9044, IoU.flower: 0.5094, IoU.book: 0.5205, IoU.hill: 0.1240, IoU.bench: 0.5356, IoU.countertop: 0.6395, IoU.stove: 0.8177, IoU.palm: 0.5335, IoU.kitchen island: 0.4707, IoU.computer: 0.8043, IoU.swivel chair: 0.5169, IoU.boat: 0.6875, IoU.bar: 0.6841, IoU.arcade machine: 0.8909, IoU.hovel: 0.4467, IoU.bus: 0.8903, IoU.towel: 0.7275, IoU.light: 0.6005, IoU.truck: 0.4960, IoU.tower: 0.2234, IoU.chandelier: 0.7272, IoU.awning: 0.3889, IoU.streetlight: 0.3667, IoU.booth: 0.5514, IoU.television receiver: 0.7774, IoU.airplane: 0.7011, IoU.dirt track: 0.0000, IoU.apparel: 0.5713, IoU.pole: 0.3297, IoU.land: 0.0131, IoU.bannister: 0.1804, IoU.escalator: 0.5895, IoU.ottoman: 0.5001, IoU.bottle: 0.4269, IoU.buffet: 0.5742, IoU.poster: 0.3537, IoU.stage: 0.2193, IoU.van: 0.4409, IoU.ship: 0.7675, IoU.fountain: 0.4339, IoU.conveyer belt: 0.8361, IoU.canopy: 0.4620, IoU.washer: 0.8948, IoU.plaything: 0.3132, IoU.swimming pool: 0.7731, IoU.stool: 0.5211, IoU.barrel: 0.7090, IoU.basket: 0.4470, IoU.waterfall: 0.4955, IoU.tent: 0.8991, IoU.bag: 0.2048, IoU.minibike: 0.7490, IoU.cradle: 0.8748, IoU.oven: 0.4961, IoU.ball: 0.5895, IoU.food: 0.6043, IoU.step: 0.1858, IoU.tank: 0.6210, IoU.trade name: 0.2524, IoU.microwave: 0.8480, IoU.pot: 0.5758, IoU.animal: 0.6584, IoU.bicycle: 0.6156, IoU.lake: 0.5744, IoU.dishwasher: 0.7180, IoU.screen: 0.6284, IoU.blanket: 0.2506, IoU.sculpture: 0.7964, IoU.hood: 0.5935, IoU.sconce: 0.5882, IoU.vase: 0.4808, IoU.traffic light: 0.4399, IoU.tray: 0.2440, IoU.ashcan: 0.4930, IoU.fan: 0.7139, IoU.pier: 0.3914, IoU.crt screen: 0.1211, IoU.plate: 0.6234, IoU.monitor: 0.3309, IoU.bulletin board: 0.5101, IoU.shower: 0.1616, IoU.radiator: 0.6545, IoU.glass: 0.2198, IoU.clock: 0.5053, IoU.flag: 0.4602, Acc.wall: 0.8905, Acc.building: 0.9325, Acc.sky: 0.9752, Acc.floor: 0.9136, Acc.tree: 0.8928, Acc.ceiling: 0.9432, Acc.road: 0.9154, Acc.bed : 0.9759, Acc.windowpane: 0.8093, Acc.grass: 0.8258, Acc.cabinet: 0.7715, Acc.sidewalk: 0.8389, Acc.person: 0.9467, Acc.earth: 0.4971, Acc.door: 0.7340, Acc.table: 0.8192, Acc.mountain: 0.7690, Acc.plant: 0.6932, Acc.curtain: 0.8885, Acc.chair: 0.7377, Acc.car: 0.9334, Acc.water: 0.7819, Acc.painting: 0.9184, Acc.sofa: 0.8863, Acc.shelf: 0.6435, Acc.house: 0.7197, Acc.sea: 0.7933, Acc.mirror: 0.8001, Acc.rug: 0.7761, Acc.field: 0.5127, Acc.armchair: 0.7692, Acc.seat: 0.8933, Acc.fence: 0.5751, Acc.desk: 0.7787, Acc.rock: 0.8852, Acc.wardrobe: 0.7211, Acc.lamp: 0.8137, Acc.bathtub: 0.9234, Acc.railing: 0.5399, Acc.cushion: 0.8267, Acc.base: 0.5671, Acc.box: 0.5077, Acc.column: 0.6891, Acc.signboard: 0.5634, Acc.chest of drawers: 0.6194, Acc.counter: 0.5592, Acc.sand: 0.8249, Acc.sink: 0.9010, Acc.skyscraper: 0.7153, Acc.fireplace: 0.9358, Acc.refrigerator: 0.8916, Acc.grandstand: 0.8495, Acc.path: 0.3399, Acc.stairs: 0.3776, Acc.runway: 0.9714, Acc.case: 0.7615, Acc.pool table: 0.9830, Acc.pillow: 0.7026, Acc.screen door: 0.8480, Acc.stairway: 0.5982, Acc.river: 0.2700, Acc.bridge: 0.8792, Acc.bookcase: 0.7104, Acc.blind: 0.4625, Acc.coffee table: 0.8312, Acc.toilet: 0.9455, Acc.flower: 0.6560, Acc.book: 0.7681, Acc.hill: 0.1822, Acc.bench: 0.6093, Acc.countertop: 0.8496, Acc.stove: 0.8692, Acc.palm: 0.8018, Acc.kitchen island: 0.7913, Acc.computer: 0.9079, Acc.swivel chair: 0.8399, Acc.boat: 0.9055, Acc.bar: 0.8498, Acc.arcade machine: 0.9329, Acc.hovel: 0.4611, Acc.bus: 0.9790, Acc.towel: 0.8368, Acc.light: 0.6845, Acc.truck: 0.6373, Acc.tower: 0.3631, Acc.chandelier: 0.8736, Acc.awning: 0.4944, Acc.streetlight: 0.4910, Acc.booth: 0.6985, Acc.television receiver: 0.8588, Acc.airplane: 0.7802, Acc.dirt track: 0.0000, Acc.apparel: 0.7280, Acc.pole: 0.4537, Acc.land: 0.0164, Acc.bannister: 0.2731, Acc.escalator: 0.8462, Acc.ottoman: 0.6868, Acc.bottle: 0.6939, Acc.buffet: 0.7095, Acc.poster: 0.4839, Acc.stage: 0.4337, Acc.van: 0.6568, Acc.ship: 0.9384, Acc.fountain: 0.4462, Acc.conveyer belt: 0.9557, Acc.canopy: 0.6352, Acc.washer: 0.9623, Acc.plaything: 0.4891, Acc.swimming pool: 0.8120, Acc.stool: 0.6915, Acc.barrel: 0.8751, Acc.basket: 0.5837, Acc.waterfall: 0.5708, Acc.tent: 0.9892, Acc.bag: 0.2458, Acc.minibike: 0.8956, Acc.cradle: 0.9777, Acc.oven: 0.6424, Acc.ball: 0.6664, Acc.food: 0.7793, Acc.step: 0.2259, Acc.tank: 0.6728, Acc.trade name: 0.2883, Acc.microwave: 0.9491, Acc.pot: 0.6775, Acc.animal: 0.6771, Acc.bicycle: 0.8081, Acc.lake: 0.6374, Acc.dishwasher: 0.8207, Acc.screen: 0.8072, Acc.blanket: 0.2928, Acc.sculpture: 0.8881, Acc.hood: 0.7275, Acc.sconce: 0.7109, Acc.vase: 0.6379, Acc.traffic light: 0.6211, Acc.tray: 0.3274, Acc.ashcan: 0.6716, Acc.fan: 0.8409, Acc.pier: 0.4301, Acc.crt screen: 0.2593, Acc.plate: 0.8082, Acc.monitor: 0.3813, Acc.bulletin board: 0.5736, Acc.shower: 0.2071, Acc.radiator: 0.7511, Acc.glass: 0.2330, Acc.clock: 0.6404, Acc.flag: 0.5214 +2022-03-14 22:57:50,463 - mmseg - INFO - Iter [96050/160000] lr: 5.739e-07, eta: 15:35:39, time: 2.532, data_time: 1.674, memory: 73034, decode.loss_ce: 0.1447, decode.acc_seg: 74.9396, aux.loss_ce: 0.0773, aux.acc_seg: 73.6494, loss: 0.2220 +2022-03-14 22:58:33,850 - mmseg - INFO - Iter [96100/160000] lr: 5.734e-07, eta: 15:34:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1476, decode.acc_seg: 75.7664, aux.loss_ce: 0.0798, aux.acc_seg: 74.4612, loss: 0.2274 +2022-03-14 22:59:17,064 - mmseg - INFO - Iter [96150/160000] lr: 5.730e-07, eta: 15:34:10, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 76.6844, aux.loss_ce: 0.0833, aux.acc_seg: 75.4051, loss: 0.2378 +2022-03-14 23:00:00,366 - mmseg - INFO - Iter [96200/160000] lr: 5.725e-07, eta: 15:33:26, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1500, decode.acc_seg: 76.9720, aux.loss_ce: 0.0805, aux.acc_seg: 75.6027, loss: 0.2305 +2022-03-14 23:00:43,517 - mmseg - INFO - Iter [96250/160000] lr: 5.721e-07, eta: 15:32:41, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1477, decode.acc_seg: 76.1374, aux.loss_ce: 0.0783, aux.acc_seg: 74.9038, loss: 0.2260 +2022-03-14 23:01:26,687 - mmseg - INFO - Iter [96300/160000] lr: 5.716e-07, eta: 15:31:57, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1437, decode.acc_seg: 75.1994, aux.loss_ce: 0.0779, aux.acc_seg: 73.9590, loss: 0.2216 +2022-03-14 23:02:09,889 - mmseg - INFO - Iter [96350/160000] lr: 5.712e-07, eta: 15:31:13, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1485, decode.acc_seg: 75.3859, aux.loss_ce: 0.0791, aux.acc_seg: 74.1890, loss: 0.2276 +2022-03-14 23:02:53,279 - mmseg - INFO - Iter [96400/160000] lr: 5.707e-07, eta: 15:30:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1519, decode.acc_seg: 75.4603, aux.loss_ce: 0.0820, aux.acc_seg: 74.1692, loss: 0.2340 +2022-03-14 23:03:36,791 - mmseg - INFO - Iter [96450/160000] lr: 5.703e-07, eta: 15:29:44, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1551, decode.acc_seg: 74.5510, aux.loss_ce: 0.0812, aux.acc_seg: 73.3635, loss: 0.2363 +2022-03-14 23:04:20,155 - mmseg - INFO - Iter [96500/160000] lr: 5.698e-07, eta: 15:29:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1419, decode.acc_seg: 74.8847, aux.loss_ce: 0.0766, aux.acc_seg: 73.6172, loss: 0.2184 +2022-03-14 23:05:03,406 - mmseg - INFO - Iter [96550/160000] lr: 5.694e-07, eta: 15:28:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1414, decode.acc_seg: 75.6916, aux.loss_ce: 0.0767, aux.acc_seg: 74.3685, loss: 0.2181 +2022-03-14 23:05:46,607 - mmseg - INFO - Iter [96600/160000] lr: 5.689e-07, eta: 15:27:31, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1443, decode.acc_seg: 74.4156, aux.loss_ce: 0.0779, aux.acc_seg: 73.0933, loss: 0.2222 +2022-03-14 23:06:29,815 - mmseg - INFO - Iter [96650/160000] lr: 5.685e-07, eta: 15:26:47, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1518, decode.acc_seg: 75.4542, aux.loss_ce: 0.0820, aux.acc_seg: 74.1810, loss: 0.2339 +2022-03-14 23:07:13,127 - mmseg - INFO - Iter [96700/160000] lr: 5.680e-07, eta: 15:26:03, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1481, decode.acc_seg: 76.0344, aux.loss_ce: 0.0805, aux.acc_seg: 74.6571, loss: 0.2285 +2022-03-14 23:07:56,629 - mmseg - INFO - Iter [96750/160000] lr: 5.676e-07, eta: 15:25:19, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1452, decode.acc_seg: 75.7231, aux.loss_ce: 0.0780, aux.acc_seg: 74.4621, loss: 0.2232 +2022-03-14 23:08:40,087 - mmseg - INFO - Iter [96800/160000] lr: 5.671e-07, eta: 15:24:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1421, decode.acc_seg: 75.2576, aux.loss_ce: 0.0748, aux.acc_seg: 74.0624, loss: 0.2169 +2022-03-14 23:09:23,583 - mmseg - INFO - Iter [96850/160000] lr: 5.667e-07, eta: 15:23:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1456, decode.acc_seg: 75.8655, aux.loss_ce: 0.0781, aux.acc_seg: 74.6018, loss: 0.2237 +2022-03-14 23:10:07,194 - mmseg - INFO - Iter [96900/160000] lr: 5.663e-07, eta: 15:23:06, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1486, decode.acc_seg: 74.6465, aux.loss_ce: 0.0798, aux.acc_seg: 73.2947, loss: 0.2284 +2022-03-14 23:10:50,562 - mmseg - INFO - Iter [96950/160000] lr: 5.658e-07, eta: 15:22:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1378, decode.acc_seg: 77.5743, aux.loss_ce: 0.0739, aux.acc_seg: 76.4141, loss: 0.2116 +2022-03-14 23:11:34,131 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 23:11:34,136 - mmseg - INFO - Iter [97000/160000] lr: 5.654e-07, eta: 15:21:38, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1601, decode.acc_seg: 75.9007, aux.loss_ce: 0.0862, aux.acc_seg: 74.6221, loss: 0.2463 +2022-03-14 23:12:17,630 - mmseg - INFO - Iter [97050/160000] lr: 5.649e-07, eta: 15:20:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1465, decode.acc_seg: 75.5725, aux.loss_ce: 0.0787, aux.acc_seg: 74.2409, loss: 0.2253 +2022-03-14 23:13:01,346 - mmseg - INFO - Iter [97100/160000] lr: 5.645e-07, eta: 15:20:10, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1511, decode.acc_seg: 75.1792, aux.loss_ce: 0.0821, aux.acc_seg: 73.8300, loss: 0.2333 +2022-03-14 23:13:44,608 - mmseg - INFO - Iter [97150/160000] lr: 5.640e-07, eta: 15:19:25, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1488, decode.acc_seg: 75.0029, aux.loss_ce: 0.0780, aux.acc_seg: 73.9100, loss: 0.2268 +2022-03-14 23:14:27,870 - mmseg - INFO - Iter [97200/160000] lr: 5.636e-07, eta: 15:18:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 74.6587, aux.loss_ce: 0.0776, aux.acc_seg: 73.3353, loss: 0.2207 +2022-03-14 23:15:10,987 - mmseg - INFO - Iter [97250/160000] lr: 5.631e-07, eta: 15:17:57, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1635, decode.acc_seg: 77.2893, aux.loss_ce: 0.0878, aux.acc_seg: 75.7945, loss: 0.2513 +2022-03-14 23:15:56,809 - mmseg - INFO - Iter [97300/160000] lr: 5.627e-07, eta: 15:17:14, time: 0.916, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1437, decode.acc_seg: 75.0741, aux.loss_ce: 0.0769, aux.acc_seg: 73.8692, loss: 0.2206 +2022-03-14 23:16:40,165 - mmseg - INFO - Iter [97350/160000] lr: 5.622e-07, eta: 15:16:30, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1500, decode.acc_seg: 75.6867, aux.loss_ce: 0.0797, aux.acc_seg: 74.5079, loss: 0.2297 +2022-03-14 23:17:23,610 - mmseg - INFO - Iter [97400/160000] lr: 5.618e-07, eta: 15:15:46, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1519, decode.acc_seg: 75.6942, aux.loss_ce: 0.0830, aux.acc_seg: 74.1648, loss: 0.2349 +2022-03-14 23:18:07,103 - mmseg - INFO - Iter [97450/160000] lr: 5.613e-07, eta: 15:15:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1430, decode.acc_seg: 75.1898, aux.loss_ce: 0.0773, aux.acc_seg: 73.8793, loss: 0.2203 +2022-03-14 23:18:50,312 - mmseg - INFO - Iter [97500/160000] lr: 5.609e-07, eta: 15:14:17, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1516, decode.acc_seg: 76.6926, aux.loss_ce: 0.0821, aux.acc_seg: 75.3198, loss: 0.2337 +2022-03-14 23:19:33,636 - mmseg - INFO - Iter [97550/160000] lr: 5.604e-07, eta: 15:13:33, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1528, decode.acc_seg: 76.1687, aux.loss_ce: 0.0828, aux.acc_seg: 74.7874, loss: 0.2355 +2022-03-14 23:20:16,903 - mmseg - INFO - Iter [97600/160000] lr: 5.600e-07, eta: 15:12:49, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1508, decode.acc_seg: 75.7434, aux.loss_ce: 0.0800, aux.acc_seg: 74.5445, loss: 0.2308 +2022-03-14 23:21:00,312 - mmseg - INFO - Iter [97650/160000] lr: 5.595e-07, eta: 15:12:05, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1460, decode.acc_seg: 75.7196, aux.loss_ce: 0.0787, aux.acc_seg: 74.5014, loss: 0.2246 +2022-03-14 23:21:43,645 - mmseg - INFO - Iter [97700/160000] lr: 5.591e-07, eta: 15:11:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1415, decode.acc_seg: 76.2370, aux.loss_ce: 0.0760, aux.acc_seg: 74.9836, loss: 0.2176 +2022-03-14 23:22:27,026 - mmseg - INFO - Iter [97750/160000] lr: 5.586e-07, eta: 15:10:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1457, decode.acc_seg: 76.8213, aux.loss_ce: 0.0796, aux.acc_seg: 75.5158, loss: 0.2253 +2022-03-14 23:23:10,247 - mmseg - INFO - Iter [97800/160000] lr: 5.582e-07, eta: 15:09:52, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1505, decode.acc_seg: 74.8616, aux.loss_ce: 0.0813, aux.acc_seg: 73.5810, loss: 0.2318 +2022-03-14 23:23:53,567 - mmseg - INFO - Iter [97850/160000] lr: 5.577e-07, eta: 15:09:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 76.5983, aux.loss_ce: 0.0789, aux.acc_seg: 75.4910, loss: 0.2302 +2022-03-14 23:24:37,159 - mmseg - INFO - Iter [97900/160000] lr: 5.573e-07, eta: 15:08:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1402, decode.acc_seg: 76.0823, aux.loss_ce: 0.0764, aux.acc_seg: 74.8856, loss: 0.2166 +2022-03-14 23:25:20,325 - mmseg - INFO - Iter [97950/160000] lr: 5.568e-07, eta: 15:07:39, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1503, decode.acc_seg: 76.8009, aux.loss_ce: 0.0802, aux.acc_seg: 75.5133, loss: 0.2306 +2022-03-14 23:26:03,643 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 23:26:03,655 - mmseg - INFO - Iter [98000/160000] lr: 5.564e-07, eta: 15:06:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1481, decode.acc_seg: 76.2095, aux.loss_ce: 0.0786, aux.acc_seg: 75.1794, loss: 0.2267 +2022-03-14 23:26:47,049 - mmseg - INFO - Iter [98050/160000] lr: 5.559e-07, eta: 15:06:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1472, decode.acc_seg: 75.9492, aux.loss_ce: 0.0783, aux.acc_seg: 74.7481, loss: 0.2254 +2022-03-14 23:27:30,475 - mmseg - INFO - Iter [98100/160000] lr: 5.555e-07, eta: 15:05:27, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1453, decode.acc_seg: 74.8961, aux.loss_ce: 0.0785, aux.acc_seg: 73.5572, loss: 0.2237 +2022-03-14 23:28:13,779 - mmseg - INFO - Iter [98150/160000] lr: 5.550e-07, eta: 15:04:42, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1370, decode.acc_seg: 74.9936, aux.loss_ce: 0.0730, aux.acc_seg: 73.9027, loss: 0.2100 +2022-03-14 23:28:57,251 - mmseg - INFO - Iter [98200/160000] lr: 5.546e-07, eta: 15:03:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1439, decode.acc_seg: 74.3486, aux.loss_ce: 0.0780, aux.acc_seg: 73.0402, loss: 0.2219 +2022-03-14 23:29:40,358 - mmseg - INFO - Iter [98250/160000] lr: 5.541e-07, eta: 15:03:14, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1469, decode.acc_seg: 76.0902, aux.loss_ce: 0.0783, aux.acc_seg: 74.9527, loss: 0.2253 +2022-03-14 23:30:23,887 - mmseg - INFO - Iter [98300/160000] lr: 5.537e-07, eta: 15:02:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1385, decode.acc_seg: 76.1842, aux.loss_ce: 0.0747, aux.acc_seg: 74.9320, loss: 0.2132 +2022-03-14 23:31:07,587 - mmseg - INFO - Iter [98350/160000] lr: 5.532e-07, eta: 15:01:46, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1513, decode.acc_seg: 76.1119, aux.loss_ce: 0.0804, aux.acc_seg: 74.9320, loss: 0.2316 +2022-03-14 23:31:51,067 - mmseg - INFO - Iter [98400/160000] lr: 5.528e-07, eta: 15:01:02, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1465, decode.acc_seg: 75.4458, aux.loss_ce: 0.0788, aux.acc_seg: 74.1705, loss: 0.2254 +2022-03-14 23:32:34,633 - mmseg - INFO - Iter [98450/160000] lr: 5.523e-07, eta: 15:00:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 75.6103, aux.loss_ce: 0.0756, aux.acc_seg: 74.3677, loss: 0.2155 +2022-03-14 23:33:17,921 - mmseg - INFO - Iter [98500/160000] lr: 5.519e-07, eta: 14:59:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1483, decode.acc_seg: 74.9186, aux.loss_ce: 0.0790, aux.acc_seg: 73.6343, loss: 0.2273 +2022-03-14 23:34:04,071 - mmseg - INFO - Iter [98550/160000] lr: 5.514e-07, eta: 14:58:51, time: 0.923, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1412, decode.acc_seg: 75.3540, aux.loss_ce: 0.0772, aux.acc_seg: 73.9765, loss: 0.2184 +2022-03-14 23:34:47,208 - mmseg - INFO - Iter [98600/160000] lr: 5.510e-07, eta: 14:58:06, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 75.1711, aux.loss_ce: 0.0787, aux.acc_seg: 73.9424, loss: 0.2254 +2022-03-14 23:35:30,920 - mmseg - INFO - Iter [98650/160000] lr: 5.505e-07, eta: 14:57:22, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 75.3150, aux.loss_ce: 0.0731, aux.acc_seg: 74.1034, loss: 0.2097 +2022-03-14 23:36:14,378 - mmseg - INFO - Iter [98700/160000] lr: 5.501e-07, eta: 14:56:38, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1426, decode.acc_seg: 76.1897, aux.loss_ce: 0.0777, aux.acc_seg: 74.8889, loss: 0.2203 +2022-03-14 23:36:57,539 - mmseg - INFO - Iter [98750/160000] lr: 5.496e-07, eta: 14:55:54, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1538, decode.acc_seg: 75.0858, aux.loss_ce: 0.0839, aux.acc_seg: 73.7213, loss: 0.2378 +2022-03-14 23:37:40,822 - mmseg - INFO - Iter [98800/160000] lr: 5.492e-07, eta: 14:55:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 74.9900, aux.loss_ce: 0.0767, aux.acc_seg: 73.6560, loss: 0.2166 +2022-03-14 23:38:24,103 - mmseg - INFO - Iter [98850/160000] lr: 5.488e-07, eta: 14:54:25, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 75.5744, aux.loss_ce: 0.0781, aux.acc_seg: 74.3018, loss: 0.2236 +2022-03-14 23:39:07,498 - mmseg - INFO - Iter [98900/160000] lr: 5.483e-07, eta: 14:53:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 74.9651, aux.loss_ce: 0.0765, aux.acc_seg: 73.7543, loss: 0.2196 +2022-03-14 23:39:50,818 - mmseg - INFO - Iter [98950/160000] lr: 5.479e-07, eta: 14:52:57, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1479, decode.acc_seg: 76.3043, aux.loss_ce: 0.0808, aux.acc_seg: 74.8916, loss: 0.2287 +2022-03-14 23:40:34,325 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 23:40:34,327 - mmseg - INFO - Iter [99000/160000] lr: 5.474e-07, eta: 14:52:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1425, decode.acc_seg: 76.9740, aux.loss_ce: 0.0777, aux.acc_seg: 75.6084, loss: 0.2202 +2022-03-14 23:41:17,560 - mmseg - INFO - Iter [99050/160000] lr: 5.470e-07, eta: 14:51:29, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 77.2213, aux.loss_ce: 0.0786, aux.acc_seg: 75.9021, loss: 0.2245 +2022-03-14 23:42:01,091 - mmseg - INFO - Iter [99100/160000] lr: 5.465e-07, eta: 14:50:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1378, decode.acc_seg: 76.1938, aux.loss_ce: 0.0741, aux.acc_seg: 74.9766, loss: 0.2118 +2022-03-14 23:42:44,446 - mmseg - INFO - Iter [99150/160000] lr: 5.461e-07, eta: 14:50:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1415, decode.acc_seg: 74.1612, aux.loss_ce: 0.0783, aux.acc_seg: 72.8435, loss: 0.2199 +2022-03-14 23:43:27,870 - mmseg - INFO - Iter [99200/160000] lr: 5.456e-07, eta: 14:49:16, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1499, decode.acc_seg: 76.2391, aux.loss_ce: 0.0811, aux.acc_seg: 74.9356, loss: 0.2310 +2022-03-14 23:44:11,127 - mmseg - INFO - Iter [99250/160000] lr: 5.452e-07, eta: 14:48:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1545, decode.acc_seg: 76.6206, aux.loss_ce: 0.0827, aux.acc_seg: 75.3330, loss: 0.2372 +2022-03-14 23:44:54,875 - mmseg - INFO - Iter [99300/160000] lr: 5.447e-07, eta: 14:47:48, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1488, decode.acc_seg: 75.7380, aux.loss_ce: 0.0801, aux.acc_seg: 74.4063, loss: 0.2289 +2022-03-14 23:45:38,155 - mmseg - INFO - Iter [99350/160000] lr: 5.443e-07, eta: 14:47:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1518, decode.acc_seg: 75.5746, aux.loss_ce: 0.0806, aux.acc_seg: 74.3834, loss: 0.2324 +2022-03-14 23:46:21,358 - mmseg - INFO - Iter [99400/160000] lr: 5.438e-07, eta: 14:46:19, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1429, decode.acc_seg: 74.3596, aux.loss_ce: 0.0778, aux.acc_seg: 73.0337, loss: 0.2207 +2022-03-14 23:47:04,607 - mmseg - INFO - Iter [99450/160000] lr: 5.434e-07, eta: 14:45:35, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1344, decode.acc_seg: 76.3755, aux.loss_ce: 0.0741, aux.acc_seg: 75.1519, loss: 0.2085 +2022-03-14 23:47:47,960 - mmseg - INFO - Iter [99500/160000] lr: 5.429e-07, eta: 14:44:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1416, decode.acc_seg: 75.5734, aux.loss_ce: 0.0761, aux.acc_seg: 74.2896, loss: 0.2177 +2022-03-14 23:48:31,293 - mmseg - INFO - Iter [99550/160000] lr: 5.425e-07, eta: 14:44:07, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1444, decode.acc_seg: 75.3535, aux.loss_ce: 0.0779, aux.acc_seg: 74.0116, loss: 0.2223 +2022-03-14 23:49:14,873 - mmseg - INFO - Iter [99600/160000] lr: 5.420e-07, eta: 14:43:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1504, decode.acc_seg: 74.7451, aux.loss_ce: 0.0816, aux.acc_seg: 73.4157, loss: 0.2320 +2022-03-14 23:49:58,412 - mmseg - INFO - Iter [99650/160000] lr: 5.416e-07, eta: 14:42:39, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1501, decode.acc_seg: 76.5193, aux.loss_ce: 0.0821, aux.acc_seg: 75.0949, loss: 0.2323 +2022-03-14 23:50:41,622 - mmseg - INFO - Iter [99700/160000] lr: 5.411e-07, eta: 14:41:54, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1466, decode.acc_seg: 76.3720, aux.loss_ce: 0.0780, aux.acc_seg: 75.1208, loss: 0.2246 +2022-03-14 23:51:25,055 - mmseg - INFO - Iter [99750/160000] lr: 5.407e-07, eta: 14:41:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1563, decode.acc_seg: 74.8132, aux.loss_ce: 0.0824, aux.acc_seg: 73.6762, loss: 0.2387 +2022-03-14 23:52:10,844 - mmseg - INFO - Iter [99800/160000] lr: 5.402e-07, eta: 14:40:27, time: 0.916, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1441, decode.acc_seg: 76.4759, aux.loss_ce: 0.0770, aux.acc_seg: 75.2821, loss: 0.2211 +2022-03-14 23:52:54,454 - mmseg - INFO - Iter [99850/160000] lr: 5.398e-07, eta: 14:39:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1500, decode.acc_seg: 76.2182, aux.loss_ce: 0.0802, aux.acc_seg: 75.0731, loss: 0.2301 +2022-03-14 23:53:37,741 - mmseg - INFO - Iter [99900/160000] lr: 5.393e-07, eta: 14:38:59, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1421, decode.acc_seg: 74.9578, aux.loss_ce: 0.0773, aux.acc_seg: 73.6283, loss: 0.2194 +2022-03-14 23:54:20,964 - mmseg - INFO - Iter [99950/160000] lr: 5.389e-07, eta: 14:38:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 74.3810, aux.loss_ce: 0.0759, aux.acc_seg: 73.1051, loss: 0.2150 +2022-03-14 23:55:04,343 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-14 23:55:04,350 - mmseg - INFO - Iter [100000/160000] lr: 5.384e-07, eta: 14:37:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 75.5499, aux.loss_ce: 0.0752, aux.acc_seg: 74.3041, loss: 0.2142 +2022-03-14 23:55:47,674 - mmseg - INFO - Iter [100050/160000] lr: 5.380e-07, eta: 14:36:47, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1434, decode.acc_seg: 76.4313, aux.loss_ce: 0.0766, aux.acc_seg: 75.2744, loss: 0.2200 +2022-03-14 23:56:30,956 - mmseg - INFO - Iter [100100/160000] lr: 5.375e-07, eta: 14:36:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1411, decode.acc_seg: 75.7855, aux.loss_ce: 0.0764, aux.acc_seg: 74.4704, loss: 0.2176 +2022-03-14 23:57:14,517 - mmseg - INFO - Iter [100150/160000] lr: 5.371e-07, eta: 14:35:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1389, decode.acc_seg: 76.5204, aux.loss_ce: 0.0759, aux.acc_seg: 75.1871, loss: 0.2148 +2022-03-14 23:57:57,934 - mmseg - INFO - Iter [100200/160000] lr: 5.366e-07, eta: 14:34:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1543, decode.acc_seg: 76.4934, aux.loss_ce: 0.0809, aux.acc_seg: 75.1893, loss: 0.2352 +2022-03-14 23:58:41,426 - mmseg - INFO - Iter [100250/160000] lr: 5.362e-07, eta: 14:33:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1408, decode.acc_seg: 75.2678, aux.loss_ce: 0.0769, aux.acc_seg: 73.8207, loss: 0.2177 +2022-03-14 23:59:24,692 - mmseg - INFO - Iter [100300/160000] lr: 5.357e-07, eta: 14:33:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 74.5216, aux.loss_ce: 0.0762, aux.acc_seg: 73.2453, loss: 0.2166 +2022-03-15 00:00:07,896 - mmseg - INFO - Iter [100350/160000] lr: 5.353e-07, eta: 14:32:21, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1452, decode.acc_seg: 76.1275, aux.loss_ce: 0.0768, aux.acc_seg: 74.9130, loss: 0.2220 +2022-03-15 00:00:51,428 - mmseg - INFO - Iter [100400/160000] lr: 5.348e-07, eta: 14:31:37, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1446, decode.acc_seg: 76.6040, aux.loss_ce: 0.0774, aux.acc_seg: 75.5540, loss: 0.2220 +2022-03-15 00:01:34,858 - mmseg - INFO - Iter [100450/160000] lr: 5.344e-07, eta: 14:30:53, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1459, decode.acc_seg: 75.6927, aux.loss_ce: 0.0805, aux.acc_seg: 74.3464, loss: 0.2264 +2022-03-15 00:02:18,160 - mmseg - INFO - Iter [100500/160000] lr: 5.339e-07, eta: 14:30:09, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1489, decode.acc_seg: 74.4544, aux.loss_ce: 0.0814, aux.acc_seg: 73.1292, loss: 0.2302 +2022-03-15 00:03:01,400 - mmseg - INFO - Iter [100550/160000] lr: 5.335e-07, eta: 14:29:25, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1433, decode.acc_seg: 75.5845, aux.loss_ce: 0.0775, aux.acc_seg: 74.3843, loss: 0.2208 +2022-03-15 00:03:44,801 - mmseg - INFO - Iter [100600/160000] lr: 5.330e-07, eta: 14:28:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1528, decode.acc_seg: 76.7893, aux.loss_ce: 0.0829, aux.acc_seg: 75.4380, loss: 0.2358 +2022-03-15 00:04:28,546 - mmseg - INFO - Iter [100650/160000] lr: 5.326e-07, eta: 14:27:57, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1344, decode.acc_seg: 75.8234, aux.loss_ce: 0.0729, aux.acc_seg: 74.6269, loss: 0.2073 +2022-03-15 00:05:12,018 - mmseg - INFO - Iter [100700/160000] lr: 5.322e-07, eta: 14:27:13, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 74.2443, aux.loss_ce: 0.0772, aux.acc_seg: 72.8485, loss: 0.2192 +2022-03-15 00:05:55,484 - mmseg - INFO - Iter [100750/160000] lr: 5.317e-07, eta: 14:26:28, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1422, decode.acc_seg: 76.8480, aux.loss_ce: 0.0765, aux.acc_seg: 75.5712, loss: 0.2186 +2022-03-15 00:06:39,076 - mmseg - INFO - Iter [100800/160000] lr: 5.313e-07, eta: 14:25:44, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1468, decode.acc_seg: 75.1399, aux.loss_ce: 0.0779, aux.acc_seg: 73.9411, loss: 0.2247 +2022-03-15 00:07:22,427 - mmseg - INFO - Iter [100850/160000] lr: 5.308e-07, eta: 14:25:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1474, decode.acc_seg: 76.8184, aux.loss_ce: 0.0797, aux.acc_seg: 75.5296, loss: 0.2271 +2022-03-15 00:08:05,803 - mmseg - INFO - Iter [100900/160000] lr: 5.304e-07, eta: 14:24:16, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1529, decode.acc_seg: 76.8874, aux.loss_ce: 0.0827, aux.acc_seg: 75.5243, loss: 0.2356 +2022-03-15 00:08:49,047 - mmseg - INFO - Iter [100950/160000] lr: 5.299e-07, eta: 14:23:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1522, decode.acc_seg: 77.0575, aux.loss_ce: 0.0828, aux.acc_seg: 75.6909, loss: 0.2351 +2022-03-15 00:09:32,292 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 00:09:32,295 - mmseg - INFO - Iter [101000/160000] lr: 5.295e-07, eta: 14:22:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 75.6094, aux.loss_ce: 0.0754, aux.acc_seg: 74.3886, loss: 0.2167 +2022-03-15 00:10:18,533 - mmseg - INFO - Iter [101050/160000] lr: 5.290e-07, eta: 14:22:05, time: 0.925, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1467, decode.acc_seg: 76.6091, aux.loss_ce: 0.0787, aux.acc_seg: 75.4336, loss: 0.2253 +2022-03-15 00:11:02,032 - mmseg - INFO - Iter [101100/160000] lr: 5.286e-07, eta: 14:21:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 76.6989, aux.loss_ce: 0.0787, aux.acc_seg: 75.5110, loss: 0.2245 +2022-03-15 00:11:45,371 - mmseg - INFO - Iter [101150/160000] lr: 5.281e-07, eta: 14:20:37, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1520, decode.acc_seg: 75.5031, aux.loss_ce: 0.0805, aux.acc_seg: 74.2463, loss: 0.2325 +2022-03-15 00:12:28,879 - mmseg - INFO - Iter [101200/160000] lr: 5.277e-07, eta: 14:19:53, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 74.9103, aux.loss_ce: 0.0747, aux.acc_seg: 73.6453, loss: 0.2112 +2022-03-15 00:13:12,333 - mmseg - INFO - Iter [101250/160000] lr: 5.272e-07, eta: 14:19:09, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1357, decode.acc_seg: 77.2188, aux.loss_ce: 0.0741, aux.acc_seg: 75.9350, loss: 0.2098 +2022-03-15 00:13:55,612 - mmseg - INFO - Iter [101300/160000] lr: 5.268e-07, eta: 14:18:24, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1432, decode.acc_seg: 74.6781, aux.loss_ce: 0.0771, aux.acc_seg: 73.3804, loss: 0.2203 +2022-03-15 00:14:39,242 - mmseg - INFO - Iter [101350/160000] lr: 5.263e-07, eta: 14:17:40, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1403, decode.acc_seg: 75.2859, aux.loss_ce: 0.0767, aux.acc_seg: 73.9157, loss: 0.2170 +2022-03-15 00:15:22,671 - mmseg - INFO - Iter [101400/160000] lr: 5.259e-07, eta: 14:16:56, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 75.6654, aux.loss_ce: 0.0768, aux.acc_seg: 74.4173, loss: 0.2199 +2022-03-15 00:16:05,984 - mmseg - INFO - Iter [101450/160000] lr: 5.254e-07, eta: 14:16:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1556, decode.acc_seg: 76.0705, aux.loss_ce: 0.0839, aux.acc_seg: 74.7816, loss: 0.2394 +2022-03-15 00:16:49,269 - mmseg - INFO - Iter [101500/160000] lr: 5.250e-07, eta: 14:15:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1439, decode.acc_seg: 75.2659, aux.loss_ce: 0.0790, aux.acc_seg: 73.9125, loss: 0.2229 +2022-03-15 00:17:32,435 - mmseg - INFO - Iter [101550/160000] lr: 5.245e-07, eta: 14:14:44, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1464, decode.acc_seg: 74.5709, aux.loss_ce: 0.0801, aux.acc_seg: 73.1874, loss: 0.2265 +2022-03-15 00:18:15,745 - mmseg - INFO - Iter [101600/160000] lr: 5.241e-07, eta: 14:13:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1486, decode.acc_seg: 75.1361, aux.loss_ce: 0.0815, aux.acc_seg: 73.7375, loss: 0.2301 +2022-03-15 00:18:59,312 - mmseg - INFO - Iter [101650/160000] lr: 5.236e-07, eta: 14:13:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1422, decode.acc_seg: 76.2230, aux.loss_ce: 0.0764, aux.acc_seg: 74.9315, loss: 0.2187 +2022-03-15 00:19:42,514 - mmseg - INFO - Iter [101700/160000] lr: 5.232e-07, eta: 14:12:31, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1437, decode.acc_seg: 75.8544, aux.loss_ce: 0.0778, aux.acc_seg: 74.5393, loss: 0.2216 +2022-03-15 00:20:25,791 - mmseg - INFO - Iter [101750/160000] lr: 5.227e-07, eta: 14:11:47, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1445, decode.acc_seg: 75.6353, aux.loss_ce: 0.0782, aux.acc_seg: 74.4310, loss: 0.2227 +2022-03-15 00:21:09,307 - mmseg - INFO - Iter [101800/160000] lr: 5.223e-07, eta: 14:11:03, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1484, decode.acc_seg: 76.3103, aux.loss_ce: 0.0805, aux.acc_seg: 74.8582, loss: 0.2289 +2022-03-15 00:21:52,665 - mmseg - INFO - Iter [101850/160000] lr: 5.218e-07, eta: 14:10:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1484, decode.acc_seg: 76.7378, aux.loss_ce: 0.0823, aux.acc_seg: 75.3528, loss: 0.2308 +2022-03-15 00:22:35,966 - mmseg - INFO - Iter [101900/160000] lr: 5.214e-07, eta: 14:09:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 76.5878, aux.loss_ce: 0.0762, aux.acc_seg: 75.3677, loss: 0.2174 +2022-03-15 00:23:19,685 - mmseg - INFO - Iter [101950/160000] lr: 5.209e-07, eta: 14:08:51, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1462, decode.acc_seg: 75.1837, aux.loss_ce: 0.0775, aux.acc_seg: 74.0275, loss: 0.2237 +2022-03-15 00:24:03,090 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 00:24:03,093 - mmseg - INFO - Iter [102000/160000] lr: 5.205e-07, eta: 14:08:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1334, decode.acc_seg: 75.2951, aux.loss_ce: 0.0717, aux.acc_seg: 74.0802, loss: 0.2052 +2022-03-15 00:24:46,636 - mmseg - INFO - Iter [102050/160000] lr: 5.200e-07, eta: 14:07:22, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1363, decode.acc_seg: 75.5941, aux.loss_ce: 0.0739, aux.acc_seg: 74.3373, loss: 0.2102 +2022-03-15 00:25:30,084 - mmseg - INFO - Iter [102100/160000] lr: 5.196e-07, eta: 14:06:38, time: 0.871, data_time: 0.008, memory: 73034, decode.loss_ce: 0.1436, decode.acc_seg: 75.4160, aux.loss_ce: 0.0762, aux.acc_seg: 74.2059, loss: 0.2197 +2022-03-15 00:26:13,322 - mmseg - INFO - Iter [102150/160000] lr: 5.191e-07, eta: 14:05:54, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1395, decode.acc_seg: 73.4747, aux.loss_ce: 0.0759, aux.acc_seg: 72.1901, loss: 0.2153 +2022-03-15 00:26:56,719 - mmseg - INFO - Iter [102200/160000] lr: 5.187e-07, eta: 14:05:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1360, decode.acc_seg: 76.7248, aux.loss_ce: 0.0753, aux.acc_seg: 75.4509, loss: 0.2113 +2022-03-15 00:27:40,111 - mmseg - INFO - Iter [102250/160000] lr: 5.182e-07, eta: 14:04:26, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1507, decode.acc_seg: 74.9816, aux.loss_ce: 0.0790, aux.acc_seg: 73.7634, loss: 0.2298 +2022-03-15 00:28:23,444 - mmseg - INFO - Iter [102300/160000] lr: 5.178e-07, eta: 14:03:42, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 77.3347, aux.loss_ce: 0.0799, aux.acc_seg: 75.8995, loss: 0.2254 +2022-03-15 00:29:09,519 - mmseg - INFO - Iter [102350/160000] lr: 5.173e-07, eta: 14:02:59, time: 0.922, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1450, decode.acc_seg: 75.7360, aux.loss_ce: 0.0768, aux.acc_seg: 74.6596, loss: 0.2218 +2022-03-15 00:29:53,051 - mmseg - INFO - Iter [102400/160000] lr: 5.169e-07, eta: 14:02:15, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1405, decode.acc_seg: 76.0260, aux.loss_ce: 0.0772, aux.acc_seg: 74.5732, loss: 0.2177 +2022-03-15 00:30:36,388 - mmseg - INFO - Iter [102450/160000] lr: 5.164e-07, eta: 14:01:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1394, decode.acc_seg: 76.0962, aux.loss_ce: 0.0766, aux.acc_seg: 74.7892, loss: 0.2160 +2022-03-15 00:31:19,809 - mmseg - INFO - Iter [102500/160000] lr: 5.160e-07, eta: 14:00:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1386, decode.acc_seg: 76.1193, aux.loss_ce: 0.0768, aux.acc_seg: 74.7788, loss: 0.2154 +2022-03-15 00:32:03,203 - mmseg - INFO - Iter [102550/160000] lr: 5.155e-07, eta: 14:00:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 76.5635, aux.loss_ce: 0.0757, aux.acc_seg: 75.3411, loss: 0.2156 +2022-03-15 00:32:46,803 - mmseg - INFO - Iter [102600/160000] lr: 5.151e-07, eta: 13:59:18, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1483, decode.acc_seg: 76.0042, aux.loss_ce: 0.0767, aux.acc_seg: 74.8495, loss: 0.2250 +2022-03-15 00:33:30,268 - mmseg - INFO - Iter [102650/160000] lr: 5.147e-07, eta: 13:58:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1462, decode.acc_seg: 75.9079, aux.loss_ce: 0.0796, aux.acc_seg: 74.5471, loss: 0.2258 +2022-03-15 00:34:13,736 - mmseg - INFO - Iter [102700/160000] lr: 5.142e-07, eta: 13:57:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1497, decode.acc_seg: 76.2301, aux.loss_ce: 0.0828, aux.acc_seg: 74.7576, loss: 0.2326 +2022-03-15 00:34:57,093 - mmseg - INFO - Iter [102750/160000] lr: 5.138e-07, eta: 13:57:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1494, decode.acc_seg: 76.4555, aux.loss_ce: 0.0809, aux.acc_seg: 75.0584, loss: 0.2303 +2022-03-15 00:35:40,437 - mmseg - INFO - Iter [102800/160000] lr: 5.133e-07, eta: 13:56:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1415, decode.acc_seg: 74.3246, aux.loss_ce: 0.0758, aux.acc_seg: 73.1085, loss: 0.2174 +2022-03-15 00:36:23,639 - mmseg - INFO - Iter [102850/160000] lr: 5.129e-07, eta: 13:55:38, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1402, decode.acc_seg: 77.3820, aux.loss_ce: 0.0767, aux.acc_seg: 76.0485, loss: 0.2169 +2022-03-15 00:37:07,115 - mmseg - INFO - Iter [102900/160000] lr: 5.124e-07, eta: 13:54:54, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1473, decode.acc_seg: 75.2164, aux.loss_ce: 0.0789, aux.acc_seg: 73.9559, loss: 0.2262 +2022-03-15 00:37:50,391 - mmseg - INFO - Iter [102950/160000] lr: 5.120e-07, eta: 13:54:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1373, decode.acc_seg: 76.0876, aux.loss_ce: 0.0732, aux.acc_seg: 74.9336, loss: 0.2105 +2022-03-15 00:38:33,816 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 00:38:33,822 - mmseg - INFO - Iter [103000/160000] lr: 5.115e-07, eta: 13:53:25, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1426, decode.acc_seg: 76.1227, aux.loss_ce: 0.0784, aux.acc_seg: 74.8275, loss: 0.2210 +2022-03-15 00:39:17,413 - mmseg - INFO - Iter [103050/160000] lr: 5.111e-07, eta: 13:52:41, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1472, decode.acc_seg: 77.0150, aux.loss_ce: 0.0799, aux.acc_seg: 75.7080, loss: 0.2270 +2022-03-15 00:40:00,965 - mmseg - INFO - Iter [103100/160000] lr: 5.106e-07, eta: 13:51:57, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1453, decode.acc_seg: 76.2555, aux.loss_ce: 0.0780, aux.acc_seg: 75.0458, loss: 0.2232 +2022-03-15 00:40:44,442 - mmseg - INFO - Iter [103150/160000] lr: 5.102e-07, eta: 13:51:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1502, decode.acc_seg: 76.4337, aux.loss_ce: 0.0794, aux.acc_seg: 75.2581, loss: 0.2296 +2022-03-15 00:41:27,733 - mmseg - INFO - Iter [103200/160000] lr: 5.097e-07, eta: 13:50:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 75.2962, aux.loss_ce: 0.0778, aux.acc_seg: 73.9496, loss: 0.2209 +2022-03-15 00:42:11,180 - mmseg - INFO - Iter [103250/160000] lr: 5.093e-07, eta: 13:49:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 75.3927, aux.loss_ce: 0.0755, aux.acc_seg: 74.1823, loss: 0.2168 +2022-03-15 00:42:54,394 - mmseg - INFO - Iter [103300/160000] lr: 5.088e-07, eta: 13:49:01, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 75.8142, aux.loss_ce: 0.0750, aux.acc_seg: 74.6555, loss: 0.2133 +2022-03-15 00:43:37,751 - mmseg - INFO - Iter [103350/160000] lr: 5.084e-07, eta: 13:48:17, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1465, decode.acc_seg: 75.8371, aux.loss_ce: 0.0783, aux.acc_seg: 74.6774, loss: 0.2248 +2022-03-15 00:44:21,110 - mmseg - INFO - Iter [103400/160000] lr: 5.079e-07, eta: 13:47:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1426, decode.acc_seg: 76.6864, aux.loss_ce: 0.0765, aux.acc_seg: 75.3939, loss: 0.2191 +2022-03-15 00:45:04,502 - mmseg - INFO - Iter [103450/160000] lr: 5.075e-07, eta: 13:46:48, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1473, decode.acc_seg: 76.1076, aux.loss_ce: 0.0795, aux.acc_seg: 74.8034, loss: 0.2268 +2022-03-15 00:45:48,025 - mmseg - INFO - Iter [103500/160000] lr: 5.070e-07, eta: 13:46:04, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1412, decode.acc_seg: 76.1049, aux.loss_ce: 0.0761, aux.acc_seg: 74.9050, loss: 0.2173 +2022-03-15 00:46:31,409 - mmseg - INFO - Iter [103550/160000] lr: 5.066e-07, eta: 13:45:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1424, decode.acc_seg: 74.6438, aux.loss_ce: 0.0761, aux.acc_seg: 73.4335, loss: 0.2185 +2022-03-15 00:47:17,177 - mmseg - INFO - Iter [103600/160000] lr: 5.061e-07, eta: 13:44:37, time: 0.916, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1408, decode.acc_seg: 75.3540, aux.loss_ce: 0.0758, aux.acc_seg: 74.1363, loss: 0.2166 +2022-03-15 00:48:00,627 - mmseg - INFO - Iter [103650/160000] lr: 5.057e-07, eta: 13:43:53, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1505, decode.acc_seg: 75.3391, aux.loss_ce: 0.0790, aux.acc_seg: 74.1166, loss: 0.2295 +2022-03-15 00:48:44,017 - mmseg - INFO - Iter [103700/160000] lr: 5.052e-07, eta: 13:43:09, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1479, decode.acc_seg: 77.0853, aux.loss_ce: 0.0807, aux.acc_seg: 75.6755, loss: 0.2286 +2022-03-15 00:49:27,389 - mmseg - INFO - Iter [103750/160000] lr: 5.048e-07, eta: 13:42:25, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1393, decode.acc_seg: 75.9852, aux.loss_ce: 0.0771, aux.acc_seg: 74.6313, loss: 0.2164 +2022-03-15 00:50:10,756 - mmseg - INFO - Iter [103800/160000] lr: 5.043e-07, eta: 13:41:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 75.9863, aux.loss_ce: 0.0774, aux.acc_seg: 74.6716, loss: 0.2232 +2022-03-15 00:50:54,080 - mmseg - INFO - Iter [103850/160000] lr: 5.039e-07, eta: 13:40:57, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1395, decode.acc_seg: 75.8357, aux.loss_ce: 0.0757, aux.acc_seg: 74.5396, loss: 0.2153 +2022-03-15 00:51:37,367 - mmseg - INFO - Iter [103900/160000] lr: 5.034e-07, eta: 13:40:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1468, decode.acc_seg: 75.8129, aux.loss_ce: 0.0782, aux.acc_seg: 74.5170, loss: 0.2249 +2022-03-15 00:52:20,947 - mmseg - INFO - Iter [103950/160000] lr: 5.030e-07, eta: 13:39:29, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1493, decode.acc_seg: 75.3115, aux.loss_ce: 0.0798, aux.acc_seg: 74.0317, loss: 0.2291 +2022-03-15 00:53:04,510 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 00:53:04,512 - mmseg - INFO - Iter [104000/160000] lr: 5.025e-07, eta: 13:38:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1438, decode.acc_seg: 76.1503, aux.loss_ce: 0.0768, aux.acc_seg: 74.9885, loss: 0.2206 +2022-03-15 00:53:47,897 - mmseg - INFO - Iter [104050/160000] lr: 5.021e-07, eta: 13:38:00, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1394, decode.acc_seg: 76.8003, aux.loss_ce: 0.0764, aux.acc_seg: 75.4668, loss: 0.2159 +2022-03-15 00:54:31,401 - mmseg - INFO - Iter [104100/160000] lr: 5.016e-07, eta: 13:37:16, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1458, decode.acc_seg: 75.5548, aux.loss_ce: 0.0798, aux.acc_seg: 74.2700, loss: 0.2256 +2022-03-15 00:55:14,950 - mmseg - INFO - Iter [104150/160000] lr: 5.012e-07, eta: 13:36:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 76.2127, aux.loss_ce: 0.0749, aux.acc_seg: 75.0873, loss: 0.2153 +2022-03-15 00:55:58,596 - mmseg - INFO - Iter [104200/160000] lr: 5.007e-07, eta: 13:35:48, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1422, decode.acc_seg: 76.0160, aux.loss_ce: 0.0763, aux.acc_seg: 74.7500, loss: 0.2185 +2022-03-15 00:56:42,011 - mmseg - INFO - Iter [104250/160000] lr: 5.003e-07, eta: 13:35:04, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1496, decode.acc_seg: 75.4401, aux.loss_ce: 0.0818, aux.acc_seg: 74.0150, loss: 0.2314 +2022-03-15 00:57:25,372 - mmseg - INFO - Iter [104300/160000] lr: 4.998e-07, eta: 13:34:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1478, decode.acc_seg: 74.0840, aux.loss_ce: 0.0804, aux.acc_seg: 72.8043, loss: 0.2282 +2022-03-15 00:58:08,700 - mmseg - INFO - Iter [104350/160000] lr: 4.994e-07, eta: 13:33:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1428, decode.acc_seg: 77.3560, aux.loss_ce: 0.0767, aux.acc_seg: 76.0537, loss: 0.2195 +2022-03-15 00:58:51,888 - mmseg - INFO - Iter [104400/160000] lr: 4.989e-07, eta: 13:32:52, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1497, decode.acc_seg: 76.3139, aux.loss_ce: 0.0806, aux.acc_seg: 74.9430, loss: 0.2303 +2022-03-15 00:59:35,235 - mmseg - INFO - Iter [104450/160000] lr: 4.985e-07, eta: 13:32:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1344, decode.acc_seg: 75.4973, aux.loss_ce: 0.0725, aux.acc_seg: 74.2759, loss: 0.2069 +2022-03-15 01:00:18,590 - mmseg - INFO - Iter [104500/160000] lr: 4.981e-07, eta: 13:31:23, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 76.7285, aux.loss_ce: 0.0769, aux.acc_seg: 75.4564, loss: 0.2140 +2022-03-15 01:01:01,855 - mmseg - INFO - Iter [104550/160000] lr: 4.976e-07, eta: 13:30:39, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1435, decode.acc_seg: 76.0852, aux.loss_ce: 0.0771, aux.acc_seg: 74.8866, loss: 0.2206 +2022-03-15 01:01:45,277 - mmseg - INFO - Iter [104600/160000] lr: 4.972e-07, eta: 13:29:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1338, decode.acc_seg: 75.5285, aux.loss_ce: 0.0724, aux.acc_seg: 74.3069, loss: 0.2061 +2022-03-15 01:02:28,839 - mmseg - INFO - Iter [104650/160000] lr: 4.967e-07, eta: 13:29:11, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1453, decode.acc_seg: 77.6109, aux.loss_ce: 0.0789, aux.acc_seg: 76.3930, loss: 0.2243 +2022-03-15 01:03:12,206 - mmseg - INFO - Iter [104700/160000] lr: 4.963e-07, eta: 13:28:27, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1435, decode.acc_seg: 75.0073, aux.loss_ce: 0.0757, aux.acc_seg: 73.8407, loss: 0.2192 +2022-03-15 01:03:55,474 - mmseg - INFO - Iter [104750/160000] lr: 4.958e-07, eta: 13:27:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 75.2755, aux.loss_ce: 0.0728, aux.acc_seg: 74.1094, loss: 0.2094 +2022-03-15 01:04:38,679 - mmseg - INFO - Iter [104800/160000] lr: 4.954e-07, eta: 13:26:59, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1568, decode.acc_seg: 76.5592, aux.loss_ce: 0.0839, aux.acc_seg: 75.2569, loss: 0.2406 +2022-03-15 01:05:24,648 - mmseg - INFO - Iter [104850/160000] lr: 4.949e-07, eta: 13:26:16, time: 0.919, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1337, decode.acc_seg: 77.3127, aux.loss_ce: 0.0729, aux.acc_seg: 76.0901, loss: 0.2066 +2022-03-15 01:06:08,120 - mmseg - INFO - Iter [104900/160000] lr: 4.945e-07, eta: 13:25:32, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1360, decode.acc_seg: 75.7519, aux.loss_ce: 0.0746, aux.acc_seg: 74.5188, loss: 0.2105 +2022-03-15 01:06:52,062 - mmseg - INFO - Iter [104950/160000] lr: 4.940e-07, eta: 13:24:48, time: 0.877, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1429, decode.acc_seg: 76.4058, aux.loss_ce: 0.0771, aux.acc_seg: 75.1758, loss: 0.2200 +2022-03-15 01:07:35,303 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 01:07:35,306 - mmseg - INFO - Iter [105000/160000] lr: 4.936e-07, eta: 13:24:04, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1490, decode.acc_seg: 76.0760, aux.loss_ce: 0.0821, aux.acc_seg: 74.5757, loss: 0.2310 +2022-03-15 01:08:18,813 - mmseg - INFO - Iter [105050/160000] lr: 4.931e-07, eta: 13:23:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1383, decode.acc_seg: 76.2552, aux.loss_ce: 0.0768, aux.acc_seg: 74.9380, loss: 0.2150 +2022-03-15 01:09:02,521 - mmseg - INFO - Iter [105100/160000] lr: 4.927e-07, eta: 13:22:36, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1422, decode.acc_seg: 76.2926, aux.loss_ce: 0.0776, aux.acc_seg: 74.8762, loss: 0.2199 +2022-03-15 01:09:46,137 - mmseg - INFO - Iter [105150/160000] lr: 4.922e-07, eta: 13:21:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1350, decode.acc_seg: 76.0227, aux.loss_ce: 0.0714, aux.acc_seg: 74.9764, loss: 0.2064 +2022-03-15 01:10:29,613 - mmseg - INFO - Iter [105200/160000] lr: 4.918e-07, eta: 13:21:08, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1416, decode.acc_seg: 76.3256, aux.loss_ce: 0.0775, aux.acc_seg: 75.0710, loss: 0.2191 +2022-03-15 01:11:13,261 - mmseg - INFO - Iter [105250/160000] lr: 4.913e-07, eta: 13:20:24, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1454, decode.acc_seg: 77.2618, aux.loss_ce: 0.0802, aux.acc_seg: 75.8019, loss: 0.2256 +2022-03-15 01:11:56,692 - mmseg - INFO - Iter [105300/160000] lr: 4.909e-07, eta: 13:19:40, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 76.4220, aux.loss_ce: 0.0747, aux.acc_seg: 75.1439, loss: 0.2131 +2022-03-15 01:12:40,109 - mmseg - INFO - Iter [105350/160000] lr: 4.904e-07, eta: 13:18:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1449, decode.acc_seg: 75.7787, aux.loss_ce: 0.0796, aux.acc_seg: 74.3879, loss: 0.2245 +2022-03-15 01:13:23,910 - mmseg - INFO - Iter [105400/160000] lr: 4.900e-07, eta: 13:18:12, time: 0.876, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1406, decode.acc_seg: 76.1897, aux.loss_ce: 0.0773, aux.acc_seg: 74.9077, loss: 0.2179 +2022-03-15 01:14:07,288 - mmseg - INFO - Iter [105450/160000] lr: 4.895e-07, eta: 13:17:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1417, decode.acc_seg: 76.4152, aux.loss_ce: 0.0764, aux.acc_seg: 75.1519, loss: 0.2181 +2022-03-15 01:14:50,740 - mmseg - INFO - Iter [105500/160000] lr: 4.891e-07, eta: 13:16:44, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1395, decode.acc_seg: 75.8663, aux.loss_ce: 0.0752, aux.acc_seg: 74.6240, loss: 0.2146 +2022-03-15 01:15:34,122 - mmseg - INFO - Iter [105550/160000] lr: 4.886e-07, eta: 13:16:00, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 76.3808, aux.loss_ce: 0.0775, aux.acc_seg: 75.0565, loss: 0.2206 +2022-03-15 01:16:17,590 - mmseg - INFO - Iter [105600/160000] lr: 4.882e-07, eta: 13:15:16, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1387, decode.acc_seg: 73.8462, aux.loss_ce: 0.0760, aux.acc_seg: 72.4563, loss: 0.2147 +2022-03-15 01:17:01,043 - mmseg - INFO - Iter [105650/160000] lr: 4.877e-07, eta: 13:14:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1572, decode.acc_seg: 76.7098, aux.loss_ce: 0.0842, aux.acc_seg: 75.3649, loss: 0.2414 +2022-03-15 01:17:44,506 - mmseg - INFO - Iter [105700/160000] lr: 4.873e-07, eta: 13:13:47, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1409, decode.acc_seg: 75.9789, aux.loss_ce: 0.0764, aux.acc_seg: 74.7243, loss: 0.2173 +2022-03-15 01:18:27,905 - mmseg - INFO - Iter [105750/160000] lr: 4.868e-07, eta: 13:13:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1335, decode.acc_seg: 74.5455, aux.loss_ce: 0.0707, aux.acc_seg: 73.4400, loss: 0.2042 +2022-03-15 01:19:11,306 - mmseg - INFO - Iter [105800/160000] lr: 4.864e-07, eta: 13:12:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1461, decode.acc_seg: 75.8511, aux.loss_ce: 0.0801, aux.acc_seg: 74.3119, loss: 0.2261 +2022-03-15 01:19:54,797 - mmseg - INFO - Iter [105850/160000] lr: 4.859e-07, eta: 13:11:35, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 74.2010, aux.loss_ce: 0.0765, aux.acc_seg: 72.9972, loss: 0.2185 +2022-03-15 01:20:38,114 - mmseg - INFO - Iter [105900/160000] lr: 4.855e-07, eta: 13:10:51, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1472, decode.acc_seg: 77.5128, aux.loss_ce: 0.0795, aux.acc_seg: 76.1708, loss: 0.2267 +2022-03-15 01:21:21,430 - mmseg - INFO - Iter [105950/160000] lr: 4.850e-07, eta: 13:10:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1374, decode.acc_seg: 77.1162, aux.loss_ce: 0.0745, aux.acc_seg: 75.8270, loss: 0.2119 +2022-03-15 01:22:05,011 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 01:22:05,014 - mmseg - INFO - Iter [106000/160000] lr: 4.846e-07, eta: 13:09:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 75.8047, aux.loss_ce: 0.0746, aux.acc_seg: 74.5678, loss: 0.2095 +2022-03-15 01:22:48,205 - mmseg - INFO - Iter [106050/160000] lr: 4.841e-07, eta: 13:08:39, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1356, decode.acc_seg: 76.4685, aux.loss_ce: 0.0754, aux.acc_seg: 75.0693, loss: 0.2110 +2022-03-15 01:23:34,235 - mmseg - INFO - Iter [106100/160000] lr: 4.837e-07, eta: 13:07:56, time: 0.921, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1446, decode.acc_seg: 76.1608, aux.loss_ce: 0.0773, aux.acc_seg: 74.9516, loss: 0.2218 +2022-03-15 01:24:17,591 - mmseg - INFO - Iter [106150/160000] lr: 4.832e-07, eta: 13:07:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1495, decode.acc_seg: 76.8129, aux.loss_ce: 0.0803, aux.acc_seg: 75.5294, loss: 0.2298 +2022-03-15 01:25:00,864 - mmseg - INFO - Iter [106200/160000] lr: 4.828e-07, eta: 13:06:28, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 76.5597, aux.loss_ce: 0.0776, aux.acc_seg: 75.1910, loss: 0.2207 +2022-03-15 01:25:44,509 - mmseg - INFO - Iter [106250/160000] lr: 4.823e-07, eta: 13:05:44, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 75.5143, aux.loss_ce: 0.0745, aux.acc_seg: 74.3134, loss: 0.2135 +2022-03-15 01:26:28,039 - mmseg - INFO - Iter [106300/160000] lr: 4.819e-07, eta: 13:05:00, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1440, decode.acc_seg: 77.7513, aux.loss_ce: 0.0774, aux.acc_seg: 76.4649, loss: 0.2214 +2022-03-15 01:27:11,614 - mmseg - INFO - Iter [106350/160000] lr: 4.814e-07, eta: 13:04:16, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1464, decode.acc_seg: 74.8751, aux.loss_ce: 0.0802, aux.acc_seg: 73.4180, loss: 0.2265 +2022-03-15 01:27:55,020 - mmseg - INFO - Iter [106400/160000] lr: 4.810e-07, eta: 13:03:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1487, decode.acc_seg: 76.2288, aux.loss_ce: 0.0824, aux.acc_seg: 74.6751, loss: 0.2310 +2022-03-15 01:28:38,355 - mmseg - INFO - Iter [106450/160000] lr: 4.806e-07, eta: 13:02:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1423, decode.acc_seg: 74.8059, aux.loss_ce: 0.0756, aux.acc_seg: 73.5735, loss: 0.2179 +2022-03-15 01:29:21,887 - mmseg - INFO - Iter [106500/160000] lr: 4.801e-07, eta: 13:02:04, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1411, decode.acc_seg: 76.5218, aux.loss_ce: 0.0764, aux.acc_seg: 75.3413, loss: 0.2174 +2022-03-15 01:30:05,414 - mmseg - INFO - Iter [106550/160000] lr: 4.797e-07, eta: 13:01:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1409, decode.acc_seg: 76.1283, aux.loss_ce: 0.0760, aux.acc_seg: 74.8359, loss: 0.2169 +2022-03-15 01:30:48,899 - mmseg - INFO - Iter [106600/160000] lr: 4.792e-07, eta: 13:00:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1377, decode.acc_seg: 76.1986, aux.loss_ce: 0.0753, aux.acc_seg: 74.8783, loss: 0.2129 +2022-03-15 01:31:32,097 - mmseg - INFO - Iter [106650/160000] lr: 4.788e-07, eta: 12:59:51, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 76.0075, aux.loss_ce: 0.0745, aux.acc_seg: 74.7895, loss: 0.2115 +2022-03-15 01:32:15,500 - mmseg - INFO - Iter [106700/160000] lr: 4.783e-07, eta: 12:59:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1374, decode.acc_seg: 74.8812, aux.loss_ce: 0.0743, aux.acc_seg: 73.5577, loss: 0.2117 +2022-03-15 01:32:58,846 - mmseg - INFO - Iter [106750/160000] lr: 4.779e-07, eta: 12:58:23, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1381, decode.acc_seg: 76.7878, aux.loss_ce: 0.0763, aux.acc_seg: 75.4277, loss: 0.2144 +2022-03-15 01:33:42,273 - mmseg - INFO - Iter [106800/160000] lr: 4.774e-07, eta: 12:57:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 75.6333, aux.loss_ce: 0.0776, aux.acc_seg: 74.1864, loss: 0.2166 +2022-03-15 01:34:25,823 - mmseg - INFO - Iter [106850/160000] lr: 4.770e-07, eta: 12:56:55, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 74.7547, aux.loss_ce: 0.0732, aux.acc_seg: 73.5461, loss: 0.2083 +2022-03-15 01:35:09,025 - mmseg - INFO - Iter [106900/160000] lr: 4.765e-07, eta: 12:56:11, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1358, decode.acc_seg: 75.6809, aux.loss_ce: 0.0731, aux.acc_seg: 74.4356, loss: 0.2089 +2022-03-15 01:35:52,433 - mmseg - INFO - Iter [106950/160000] lr: 4.761e-07, eta: 12:55:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 76.4759, aux.loss_ce: 0.0800, aux.acc_seg: 75.1762, loss: 0.2254 +2022-03-15 01:36:35,780 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 01:36:35,782 - mmseg - INFO - Iter [107000/160000] lr: 4.756e-07, eta: 12:54:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 77.2198, aux.loss_ce: 0.0755, aux.acc_seg: 76.0580, loss: 0.2153 +2022-03-15 01:37:19,127 - mmseg - INFO - Iter [107050/160000] lr: 4.752e-07, eta: 12:53:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1552, decode.acc_seg: 76.4303, aux.loss_ce: 0.0840, aux.acc_seg: 75.0041, loss: 0.2392 +2022-03-15 01:38:02,485 - mmseg - INFO - Iter [107100/160000] lr: 4.747e-07, eta: 12:53:14, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1395, decode.acc_seg: 76.0301, aux.loss_ce: 0.0762, aux.acc_seg: 74.6447, loss: 0.2156 +2022-03-15 01:38:45,931 - mmseg - INFO - Iter [107150/160000] lr: 4.743e-07, eta: 12:52:30, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1381, decode.acc_seg: 75.8755, aux.loss_ce: 0.0755, aux.acc_seg: 74.5412, loss: 0.2136 +2022-03-15 01:39:29,284 - mmseg - INFO - Iter [107200/160000] lr: 4.738e-07, eta: 12:51:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1430, decode.acc_seg: 75.9174, aux.loss_ce: 0.0776, aux.acc_seg: 74.6503, loss: 0.2206 +2022-03-15 01:40:12,766 - mmseg - INFO - Iter [107250/160000] lr: 4.734e-07, eta: 12:51:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1388, decode.acc_seg: 76.3056, aux.loss_ce: 0.0752, aux.acc_seg: 75.0640, loss: 0.2139 +2022-03-15 01:40:56,549 - mmseg - INFO - Iter [107300/160000] lr: 4.729e-07, eta: 12:50:18, time: 0.877, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.1079, aux.loss_ce: 0.0706, aux.acc_seg: 74.9038, loss: 0.2030 +2022-03-15 01:41:40,116 - mmseg - INFO - Iter [107350/160000] lr: 4.725e-07, eta: 12:49:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1292, decode.acc_seg: 74.9126, aux.loss_ce: 0.0699, aux.acc_seg: 73.7414, loss: 0.1991 +2022-03-15 01:42:26,245 - mmseg - INFO - Iter [107400/160000] lr: 4.720e-07, eta: 12:48:52, time: 0.923, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 75.6922, aux.loss_ce: 0.0744, aux.acc_seg: 74.4289, loss: 0.2095 +2022-03-15 01:43:09,796 - mmseg - INFO - Iter [107450/160000] lr: 4.716e-07, eta: 12:48:08, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1350, decode.acc_seg: 75.3487, aux.loss_ce: 0.0721, aux.acc_seg: 74.2195, loss: 0.2071 +2022-03-15 01:43:53,299 - mmseg - INFO - Iter [107500/160000] lr: 4.711e-07, eta: 12:47:24, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 75.9110, aux.loss_ce: 0.0736, aux.acc_seg: 74.6284, loss: 0.2061 +2022-03-15 01:44:36,735 - mmseg - INFO - Iter [107550/160000] lr: 4.707e-07, eta: 12:46:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 75.7482, aux.loss_ce: 0.0740, aux.acc_seg: 74.4942, loss: 0.2108 +2022-03-15 01:45:20,197 - mmseg - INFO - Iter [107600/160000] lr: 4.702e-07, eta: 12:45:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 75.9994, aux.loss_ce: 0.0748, aux.acc_seg: 74.9102, loss: 0.2161 +2022-03-15 01:46:03,503 - mmseg - INFO - Iter [107650/160000] lr: 4.698e-07, eta: 12:45:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1428, decode.acc_seg: 75.5709, aux.loss_ce: 0.0782, aux.acc_seg: 74.1684, loss: 0.2210 +2022-03-15 01:46:46,899 - mmseg - INFO - Iter [107700/160000] lr: 4.693e-07, eta: 12:44:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1487, decode.acc_seg: 77.2711, aux.loss_ce: 0.0794, aux.acc_seg: 76.0741, loss: 0.2281 +2022-03-15 01:47:30,134 - mmseg - INFO - Iter [107750/160000] lr: 4.689e-07, eta: 12:43:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1350, decode.acc_seg: 77.1430, aux.loss_ce: 0.0716, aux.acc_seg: 75.9814, loss: 0.2067 +2022-03-15 01:48:13,463 - mmseg - INFO - Iter [107800/160000] lr: 4.684e-07, eta: 12:42:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1408, decode.acc_seg: 75.5619, aux.loss_ce: 0.0773, aux.acc_seg: 74.1471, loss: 0.2181 +2022-03-15 01:48:57,210 - mmseg - INFO - Iter [107850/160000] lr: 4.680e-07, eta: 12:42:15, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1316, decode.acc_seg: 74.6240, aux.loss_ce: 0.0717, aux.acc_seg: 73.4439, loss: 0.2033 +2022-03-15 01:49:40,665 - mmseg - INFO - Iter [107900/160000] lr: 4.675e-07, eta: 12:41:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1430, decode.acc_seg: 76.3716, aux.loss_ce: 0.0776, aux.acc_seg: 75.0958, loss: 0.2206 +2022-03-15 01:50:24,153 - mmseg - INFO - Iter [107950/160000] lr: 4.671e-07, eta: 12:40:47, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1379, decode.acc_seg: 76.0376, aux.loss_ce: 0.0761, aux.acc_seg: 74.6845, loss: 0.2139 +2022-03-15 01:51:07,855 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 01:51:07,859 - mmseg - INFO - Iter [108000/160000] lr: 4.666e-07, eta: 12:40:03, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1429, decode.acc_seg: 76.4928, aux.loss_ce: 0.0774, aux.acc_seg: 75.1914, loss: 0.2203 +2022-03-15 01:51:51,282 - mmseg - INFO - Iter [108050/160000] lr: 4.662e-07, eta: 12:39:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 73.9183, aux.loss_ce: 0.0754, aux.acc_seg: 72.4671, loss: 0.2120 +2022-03-15 01:52:34,616 - mmseg - INFO - Iter [108100/160000] lr: 4.657e-07, eta: 12:38:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.3166, aux.loss_ce: 0.0729, aux.acc_seg: 74.9834, loss: 0.2052 +2022-03-15 01:53:17,996 - mmseg - INFO - Iter [108150/160000] lr: 4.653e-07, eta: 12:37:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1375, decode.acc_seg: 75.8307, aux.loss_ce: 0.0756, aux.acc_seg: 74.5009, loss: 0.2131 +2022-03-15 01:54:01,217 - mmseg - INFO - Iter [108200/160000] lr: 4.648e-07, eta: 12:37:07, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1348, decode.acc_seg: 75.3368, aux.loss_ce: 0.0741, aux.acc_seg: 73.9809, loss: 0.2088 +2022-03-15 01:54:44,677 - mmseg - INFO - Iter [108250/160000] lr: 4.644e-07, eta: 12:36:23, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 76.1579, aux.loss_ce: 0.0726, aux.acc_seg: 74.8859, loss: 0.2059 +2022-03-15 01:55:28,213 - mmseg - INFO - Iter [108300/160000] lr: 4.640e-07, eta: 12:35:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1355, decode.acc_seg: 76.2460, aux.loss_ce: 0.0736, aux.acc_seg: 75.0156, loss: 0.2091 +2022-03-15 01:56:11,361 - mmseg - INFO - Iter [108350/160000] lr: 4.635e-07, eta: 12:34:55, time: 0.865, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1423, decode.acc_seg: 76.7279, aux.loss_ce: 0.0761, aux.acc_seg: 75.4959, loss: 0.2184 +2022-03-15 01:56:54,535 - mmseg - INFO - Iter [108400/160000] lr: 4.631e-07, eta: 12:34:10, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1405, decode.acc_seg: 75.8430, aux.loss_ce: 0.0768, aux.acc_seg: 74.5949, loss: 0.2173 +2022-03-15 01:57:38,091 - mmseg - INFO - Iter [108450/160000] lr: 4.626e-07, eta: 12:33:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1412, decode.acc_seg: 77.0399, aux.loss_ce: 0.0755, aux.acc_seg: 75.8168, loss: 0.2166 +2022-03-15 01:58:21,741 - mmseg - INFO - Iter [108500/160000] lr: 4.622e-07, eta: 12:32:43, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1444, decode.acc_seg: 76.9214, aux.loss_ce: 0.0778, aux.acc_seg: 75.6211, loss: 0.2223 +2022-03-15 01:59:05,089 - mmseg - INFO - Iter [108550/160000] lr: 4.617e-07, eta: 12:31:58, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1432, decode.acc_seg: 76.0503, aux.loss_ce: 0.0773, aux.acc_seg: 74.7742, loss: 0.2204 +2022-03-15 01:59:48,698 - mmseg - INFO - Iter [108600/160000] lr: 4.613e-07, eta: 12:31:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1485, decode.acc_seg: 75.2548, aux.loss_ce: 0.0797, aux.acc_seg: 73.9522, loss: 0.2281 +2022-03-15 02:00:35,222 - mmseg - INFO - Iter [108650/160000] lr: 4.608e-07, eta: 12:30:32, time: 0.931, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 76.0868, aux.loss_ce: 0.0768, aux.acc_seg: 74.6502, loss: 0.2158 +2022-03-15 02:01:18,836 - mmseg - INFO - Iter [108700/160000] lr: 4.604e-07, eta: 12:29:48, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1439, decode.acc_seg: 76.3804, aux.loss_ce: 0.0791, aux.acc_seg: 75.0468, loss: 0.2231 +2022-03-15 02:02:02,001 - mmseg - INFO - Iter [108750/160000] lr: 4.599e-07, eta: 12:29:04, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1394, decode.acc_seg: 75.3735, aux.loss_ce: 0.0771, aux.acc_seg: 73.8727, loss: 0.2165 +2022-03-15 02:02:45,378 - mmseg - INFO - Iter [108800/160000] lr: 4.595e-07, eta: 12:28:20, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1364, decode.acc_seg: 76.0693, aux.loss_ce: 0.0753, aux.acc_seg: 74.7152, loss: 0.2117 +2022-03-15 02:03:28,779 - mmseg - INFO - Iter [108850/160000] lr: 4.590e-07, eta: 12:27:36, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1396, decode.acc_seg: 77.0955, aux.loss_ce: 0.0763, aux.acc_seg: 75.7961, loss: 0.2159 +2022-03-15 02:04:12,055 - mmseg - INFO - Iter [108900/160000] lr: 4.586e-07, eta: 12:26:52, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1346, decode.acc_seg: 76.3372, aux.loss_ce: 0.0731, aux.acc_seg: 75.1185, loss: 0.2077 +2022-03-15 02:04:55,517 - mmseg - INFO - Iter [108950/160000] lr: 4.581e-07, eta: 12:26:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1321, decode.acc_seg: 75.5961, aux.loss_ce: 0.0718, aux.acc_seg: 74.3796, loss: 0.2039 +2022-03-15 02:05:38,915 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 02:05:38,917 - mmseg - INFO - Iter [109000/160000] lr: 4.577e-07, eta: 12:25:23, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 76.9716, aux.loss_ce: 0.0708, aux.acc_seg: 75.8561, loss: 0.2013 +2022-03-15 02:06:22,393 - mmseg - INFO - Iter [109050/160000] lr: 4.572e-07, eta: 12:24:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 75.4093, aux.loss_ce: 0.0756, aux.acc_seg: 74.0532, loss: 0.2127 +2022-03-15 02:07:05,707 - mmseg - INFO - Iter [109100/160000] lr: 4.568e-07, eta: 12:23:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 74.9236, aux.loss_ce: 0.0740, aux.acc_seg: 73.6317, loss: 0.2072 +2022-03-15 02:07:49,050 - mmseg - INFO - Iter [109150/160000] lr: 4.563e-07, eta: 12:23:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 75.7744, aux.loss_ce: 0.0697, aux.acc_seg: 74.7607, loss: 0.2001 +2022-03-15 02:08:32,186 - mmseg - INFO - Iter [109200/160000] lr: 4.559e-07, eta: 12:22:27, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1440, decode.acc_seg: 76.0064, aux.loss_ce: 0.0796, aux.acc_seg: 74.6486, loss: 0.2237 +2022-03-15 02:09:15,626 - mmseg - INFO - Iter [109250/160000] lr: 4.554e-07, eta: 12:21:43, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1365, decode.acc_seg: 75.6297, aux.loss_ce: 0.0740, aux.acc_seg: 74.3658, loss: 0.2105 +2022-03-15 02:09:59,013 - mmseg - INFO - Iter [109300/160000] lr: 4.550e-07, eta: 12:20:59, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1362, decode.acc_seg: 76.3792, aux.loss_ce: 0.0740, aux.acc_seg: 75.1356, loss: 0.2102 +2022-03-15 02:10:42,325 - mmseg - INFO - Iter [109350/160000] lr: 4.545e-07, eta: 12:20:15, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 75.6201, aux.loss_ce: 0.0738, aux.acc_seg: 74.4263, loss: 0.2111 +2022-03-15 02:11:25,722 - mmseg - INFO - Iter [109400/160000] lr: 4.541e-07, eta: 12:19:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1433, decode.acc_seg: 76.1933, aux.loss_ce: 0.0767, aux.acc_seg: 74.9484, loss: 0.2200 +2022-03-15 02:12:09,087 - mmseg - INFO - Iter [109450/160000] lr: 4.536e-07, eta: 12:18:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1432, decode.acc_seg: 76.1192, aux.loss_ce: 0.0770, aux.acc_seg: 74.9087, loss: 0.2202 +2022-03-15 02:12:52,527 - mmseg - INFO - Iter [109500/160000] lr: 4.532e-07, eta: 12:18:03, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 75.4963, aux.loss_ce: 0.0737, aux.acc_seg: 74.2644, loss: 0.2105 +2022-03-15 02:13:36,038 - mmseg - INFO - Iter [109550/160000] lr: 4.527e-07, eta: 12:17:19, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1405, decode.acc_seg: 74.2978, aux.loss_ce: 0.0754, aux.acc_seg: 73.0537, loss: 0.2159 +2022-03-15 02:14:19,575 - mmseg - INFO - Iter [109600/160000] lr: 4.523e-07, eta: 12:16:35, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1388, decode.acc_seg: 75.4828, aux.loss_ce: 0.0765, aux.acc_seg: 74.0015, loss: 0.2154 +2022-03-15 02:15:02,880 - mmseg - INFO - Iter [109650/160000] lr: 4.518e-07, eta: 12:15:51, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1414, decode.acc_seg: 77.3864, aux.loss_ce: 0.0792, aux.acc_seg: 75.9418, loss: 0.2206 +2022-03-15 02:15:46,267 - mmseg - INFO - Iter [109700/160000] lr: 4.514e-07, eta: 12:15:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1336, decode.acc_seg: 76.7910, aux.loss_ce: 0.0713, aux.acc_seg: 75.6554, loss: 0.2049 +2022-03-15 02:16:29,639 - mmseg - INFO - Iter [109750/160000] lr: 4.509e-07, eta: 12:14:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1396, decode.acc_seg: 75.4489, aux.loss_ce: 0.0764, aux.acc_seg: 74.1311, loss: 0.2160 +2022-03-15 02:17:13,019 - mmseg - INFO - Iter [109800/160000] lr: 4.505e-07, eta: 12:13:39, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1374, decode.acc_seg: 75.2679, aux.loss_ce: 0.0744, aux.acc_seg: 74.0908, loss: 0.2118 +2022-03-15 02:17:56,527 - mmseg - INFO - Iter [109850/160000] lr: 4.500e-07, eta: 12:12:55, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1392, decode.acc_seg: 75.7247, aux.loss_ce: 0.0764, aux.acc_seg: 74.4867, loss: 0.2156 +2022-03-15 02:18:42,353 - mmseg - INFO - Iter [109900/160000] lr: 4.496e-07, eta: 12:12:12, time: 0.917, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1427, decode.acc_seg: 75.7460, aux.loss_ce: 0.0778, aux.acc_seg: 74.3985, loss: 0.2206 +2022-03-15 02:19:25,845 - mmseg - INFO - Iter [109950/160000] lr: 4.491e-07, eta: 12:11:28, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 76.6653, aux.loss_ce: 0.0752, aux.acc_seg: 75.1865, loss: 0.2101 +2022-03-15 02:20:09,188 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 02:20:09,192 - mmseg - INFO - Iter [110000/160000] lr: 4.487e-07, eta: 12:10:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1353, decode.acc_seg: 75.6248, aux.loss_ce: 0.0733, aux.acc_seg: 74.3701, loss: 0.2086 +2022-03-15 02:20:52,482 - mmseg - INFO - Iter [110050/160000] lr: 4.482e-07, eta: 12:09:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1358, decode.acc_seg: 74.3491, aux.loss_ce: 0.0753, aux.acc_seg: 73.0185, loss: 0.2111 +2022-03-15 02:21:35,905 - mmseg - INFO - Iter [110100/160000] lr: 4.478e-07, eta: 12:09:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1381, decode.acc_seg: 75.8235, aux.loss_ce: 0.0754, aux.acc_seg: 74.5413, loss: 0.2134 +2022-03-15 02:22:19,139 - mmseg - INFO - Iter [110150/160000] lr: 4.473e-07, eta: 12:08:31, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1312, decode.acc_seg: 74.8862, aux.loss_ce: 0.0724, aux.acc_seg: 73.5761, loss: 0.2036 +2022-03-15 02:23:02,508 - mmseg - INFO - Iter [110200/160000] lr: 4.469e-07, eta: 12:07:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 74.9915, aux.loss_ce: 0.0774, aux.acc_seg: 73.7794, loss: 0.2204 +2022-03-15 02:23:45,795 - mmseg - INFO - Iter [110250/160000] lr: 4.465e-07, eta: 12:07:03, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1532, decode.acc_seg: 75.6261, aux.loss_ce: 0.0809, aux.acc_seg: 74.3439, loss: 0.2341 +2022-03-15 02:24:29,405 - mmseg - INFO - Iter [110300/160000] lr: 4.460e-07, eta: 12:06:19, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1479, decode.acc_seg: 76.2362, aux.loss_ce: 0.0783, aux.acc_seg: 75.0715, loss: 0.2262 +2022-03-15 02:25:12,804 - mmseg - INFO - Iter [110350/160000] lr: 4.456e-07, eta: 12:05:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1389, decode.acc_seg: 76.0131, aux.loss_ce: 0.0744, aux.acc_seg: 74.8277, loss: 0.2133 +2022-03-15 02:25:56,148 - mmseg - INFO - Iter [110400/160000] lr: 4.451e-07, eta: 12:04:51, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 76.9191, aux.loss_ce: 0.0756, aux.acc_seg: 75.6037, loss: 0.2123 +2022-03-15 02:26:39,832 - mmseg - INFO - Iter [110450/160000] lr: 4.447e-07, eta: 12:04:07, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1376, decode.acc_seg: 75.2306, aux.loss_ce: 0.0742, aux.acc_seg: 73.9884, loss: 0.2118 +2022-03-15 02:27:23,121 - mmseg - INFO - Iter [110500/160000] lr: 4.442e-07, eta: 12:03:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1373, decode.acc_seg: 76.6533, aux.loss_ce: 0.0746, aux.acc_seg: 75.3436, loss: 0.2120 +2022-03-15 02:28:06,548 - mmseg - INFO - Iter [110550/160000] lr: 4.438e-07, eta: 12:02:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1367, decode.acc_seg: 76.6330, aux.loss_ce: 0.0750, aux.acc_seg: 75.3480, loss: 0.2117 +2022-03-15 02:28:50,313 - mmseg - INFO - Iter [110600/160000] lr: 4.433e-07, eta: 12:01:55, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1303, decode.acc_seg: 76.3914, aux.loss_ce: 0.0699, aux.acc_seg: 75.2655, loss: 0.2003 +2022-03-15 02:29:33,700 - mmseg - INFO - Iter [110650/160000] lr: 4.429e-07, eta: 12:01:11, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1394, decode.acc_seg: 76.2459, aux.loss_ce: 0.0750, aux.acc_seg: 75.0288, loss: 0.2144 +2022-03-15 02:30:17,101 - mmseg - INFO - Iter [110700/160000] lr: 4.424e-07, eta: 12:00:27, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1437, decode.acc_seg: 75.8876, aux.loss_ce: 0.0767, aux.acc_seg: 74.7548, loss: 0.2203 +2022-03-15 02:31:00,352 - mmseg - INFO - Iter [110750/160000] lr: 4.420e-07, eta: 11:59:43, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1405, decode.acc_seg: 76.5761, aux.loss_ce: 0.0775, aux.acc_seg: 75.0587, loss: 0.2181 +2022-03-15 02:31:43,944 - mmseg - INFO - Iter [110800/160000] lr: 4.415e-07, eta: 11:58:59, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1267, decode.acc_seg: 75.9510, aux.loss_ce: 0.0702, aux.acc_seg: 74.6642, loss: 0.1969 +2022-03-15 02:32:27,285 - mmseg - INFO - Iter [110850/160000] lr: 4.411e-07, eta: 11:58:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1309, decode.acc_seg: 75.4642, aux.loss_ce: 0.0722, aux.acc_seg: 74.1560, loss: 0.2032 +2022-03-15 02:33:10,772 - mmseg - INFO - Iter [110900/160000] lr: 4.406e-07, eta: 11:57:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1409, decode.acc_seg: 76.4237, aux.loss_ce: 0.0755, aux.acc_seg: 75.2153, loss: 0.2164 +2022-03-15 02:33:54,160 - mmseg - INFO - Iter [110950/160000] lr: 4.402e-07, eta: 11:56:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 75.9633, aux.loss_ce: 0.0752, aux.acc_seg: 74.6703, loss: 0.2120 +2022-03-15 02:34:37,532 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 02:34:37,540 - mmseg - INFO - Iter [111000/160000] lr: 4.397e-07, eta: 11:56:03, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1347, decode.acc_seg: 76.6228, aux.loss_ce: 0.0738, aux.acc_seg: 75.3136, loss: 0.2084 +2022-03-15 02:35:20,818 - mmseg - INFO - Iter [111050/160000] lr: 4.393e-07, eta: 11:55:19, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1365, decode.acc_seg: 76.7703, aux.loss_ce: 0.0754, aux.acc_seg: 75.4206, loss: 0.2119 +2022-03-15 02:36:04,338 - mmseg - INFO - Iter [111100/160000] lr: 4.388e-07, eta: 11:54:35, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 75.4935, aux.loss_ce: 0.0772, aux.acc_seg: 74.0398, loss: 0.2156 +2022-03-15 02:36:50,387 - mmseg - INFO - Iter [111150/160000] lr: 4.384e-07, eta: 11:53:52, time: 0.921, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1276, decode.acc_seg: 75.6741, aux.loss_ce: 0.0698, aux.acc_seg: 74.4917, loss: 0.1974 +2022-03-15 02:37:33,842 - mmseg - INFO - Iter [111200/160000] lr: 4.379e-07, eta: 11:53:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1345, decode.acc_seg: 74.7162, aux.loss_ce: 0.0743, aux.acc_seg: 73.3660, loss: 0.2088 +2022-03-15 02:38:17,182 - mmseg - INFO - Iter [111250/160000] lr: 4.375e-07, eta: 11:52:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1388, decode.acc_seg: 76.6364, aux.loss_ce: 0.0745, aux.acc_seg: 75.4285, loss: 0.2133 +2022-03-15 02:39:00,570 - mmseg - INFO - Iter [111300/160000] lr: 4.370e-07, eta: 11:51:40, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1326, decode.acc_seg: 75.5400, aux.loss_ce: 0.0715, aux.acc_seg: 74.3111, loss: 0.2042 +2022-03-15 02:39:43,726 - mmseg - INFO - Iter [111350/160000] lr: 4.366e-07, eta: 11:50:56, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1354, decode.acc_seg: 76.4221, aux.loss_ce: 0.0731, aux.acc_seg: 75.2157, loss: 0.2085 +2022-03-15 02:40:27,379 - mmseg - INFO - Iter [111400/160000] lr: 4.361e-07, eta: 11:50:12, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 75.7965, aux.loss_ce: 0.0745, aux.acc_seg: 74.6351, loss: 0.2118 +2022-03-15 02:41:10,886 - mmseg - INFO - Iter [111450/160000] lr: 4.357e-07, eta: 11:49:28, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1431, decode.acc_seg: 75.8823, aux.loss_ce: 0.0763, aux.acc_seg: 74.6996, loss: 0.2194 +2022-03-15 02:41:54,408 - mmseg - INFO - Iter [111500/160000] lr: 4.352e-07, eta: 11:48:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1380, decode.acc_seg: 77.2490, aux.loss_ce: 0.0748, aux.acc_seg: 75.9477, loss: 0.2128 +2022-03-15 02:42:37,961 - mmseg - INFO - Iter [111550/160000] lr: 4.348e-07, eta: 11:48:00, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1422, decode.acc_seg: 76.1497, aux.loss_ce: 0.0782, aux.acc_seg: 74.7970, loss: 0.2204 +2022-03-15 02:43:21,632 - mmseg - INFO - Iter [111600/160000] lr: 4.343e-07, eta: 11:47:16, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 76.7200, aux.loss_ce: 0.0724, aux.acc_seg: 75.5109, loss: 0.2065 +2022-03-15 02:44:04,891 - mmseg - INFO - Iter [111650/160000] lr: 4.339e-07, eta: 11:46:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1346, decode.acc_seg: 75.3875, aux.loss_ce: 0.0733, aux.acc_seg: 74.1243, loss: 0.2079 +2022-03-15 02:44:48,199 - mmseg - INFO - Iter [111700/160000] lr: 4.334e-07, eta: 11:45:48, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1324, decode.acc_seg: 76.3357, aux.loss_ce: 0.0729, aux.acc_seg: 75.1639, loss: 0.2053 +2022-03-15 02:45:31,445 - mmseg - INFO - Iter [111750/160000] lr: 4.330e-07, eta: 11:45:04, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.5974, aux.loss_ce: 0.0719, aux.acc_seg: 75.4079, loss: 0.2042 +2022-03-15 02:46:14,889 - mmseg - INFO - Iter [111800/160000] lr: 4.325e-07, eta: 11:44:20, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1365, decode.acc_seg: 76.3184, aux.loss_ce: 0.0755, aux.acc_seg: 74.9989, loss: 0.2120 +2022-03-15 02:46:58,244 - mmseg - INFO - Iter [111850/160000] lr: 4.321e-07, eta: 11:43:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 75.6136, aux.loss_ce: 0.0740, aux.acc_seg: 74.1510, loss: 0.2036 +2022-03-15 02:47:42,022 - mmseg - INFO - Iter [111900/160000] lr: 4.316e-07, eta: 11:42:52, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1389, decode.acc_seg: 74.7061, aux.loss_ce: 0.0745, aux.acc_seg: 73.5299, loss: 0.2135 +2022-03-15 02:48:25,325 - mmseg - INFO - Iter [111950/160000] lr: 4.312e-07, eta: 11:42:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1344, decode.acc_seg: 75.9418, aux.loss_ce: 0.0741, aux.acc_seg: 74.5853, loss: 0.2085 +2022-03-15 02:49:08,703 - mmseg - INFO - Saving checkpoint at 112000 iterations +2022-03-15 02:49:18,813 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 02:49:18,814 - mmseg - INFO - Iter [112000/160000] lr: 4.307e-07, eta: 11:41:28, time: 1.068, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 76.7848, aux.loss_ce: 0.0728, aux.acc_seg: 75.5186, loss: 0.2053 +2022-03-15 02:50:41,805 - mmseg - INFO - per class results: +2022-03-15 02:50:41,813 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.95 | 89.68 | +| building | 84.97 | 93.91 | +| sky | 94.79 | 97.56 | +| floor | 84.18 | 91.43 | +| tree | 76.86 | 88.45 | +| ceiling | 86.53 | 93.91 | +| road | 85.88 | 91.17 | +| bed | 92.28 | 97.48 | +| windowpane | 64.25 | 79.86 | +| grass | 71.51 | 87.1 | +| cabinet | 64.66 | 75.18 | +| sidewalk | 71.98 | 86.05 | +| person | 85.03 | 94.7 | +| earth | 40.28 | 53.21 | +| door | 56.17 | 69.87 | +| table | 69.23 | 81.06 | +| mountain | 65.39 | 75.36 | +| plant | 56.49 | 68.89 | +| curtain | 77.92 | 89.39 | +| chair | 64.42 | 75.6 | +| car | 87.65 | 93.95 | +| water | 65.2 | 81.32 | +| painting | 76.3 | 92.43 | +| sofa | 78.19 | 87.25 | +| shelf | 46.95 | 64.36 | +| house | 53.58 | 62.22 | +| sea | 66.25 | 76.19 | +| mirror | 77.11 | 83.51 | +| rug | 67.86 | 81.26 | +| field | 37.77 | 49.5 | +| armchair | 56.93 | 78.81 | +| seat | 64.04 | 89.24 | +| fence | 44.57 | 58.89 | +| desk | 56.87 | 79.9 | +| rock | 56.31 | 87.52 | +| wardrobe | 53.89 | 74.46 | +| lamp | 73.04 | 84.03 | +| bathtub | 86.16 | 90.42 | +| railing | 38.3 | 51.26 | +| cushion | 66.24 | 78.56 | +| base | 47.31 | 59.12 | +| box | 38.03 | 48.16 | +| column | 53.19 | 66.39 | +| signboard | 41.58 | 53.92 | +| chest of drawers | 43.59 | 64.43 | +| counter | 52.21 | 57.18 | +| sand | 55.55 | 83.38 | +| sink | 81.61 | 88.16 | +| skyscraper | 58.28 | 75.21 | +| fireplace | 80.63 | 91.29 | +| refrigerator | 78.79 | 88.08 | +| grandstand | 52.01 | 85.77 | +| path | 27.87 | 39.27 | +| stairs | 30.62 | 37.11 | +| runway | 70.47 | 92.84 | +| case | 60.64 | 81.23 | +| pool table | 94.71 | 98.26 | +| pillow | 64.36 | 73.92 | +| screen door | 83.26 | 88.5 | +| stairway | 43.14 | 57.37 | +| river | 10.75 | 23.98 | +| bridge | 74.69 | 87.02 | +| bookcase | 48.37 | 68.33 | +| blind | 40.5 | 42.08 | +| coffee table | 64.53 | 88.43 | +| toilet | 89.91 | 94.99 | +| flower | 50.59 | 61.97 | +| book | 53.14 | 76.7 | +| hill | 18.96 | 27.16 | +| bench | 52.3 | 60.5 | +| countertop | 63.2 | 85.89 | +| stove | 81.65 | 87.79 | +| palm | 53.92 | 83.43 | +| kitchen island | 47.46 | 77.45 | +| computer | 80.31 | 90.74 | +| swivel chair | 43.01 | 66.16 | +| boat | 68.66 | 93.36 | +| bar | 67.1 | 85.34 | +| arcade machine | 88.89 | 94.19 | +| hovel | 53.33 | 55.86 | +| bus | 93.42 | 97.3 | +| towel | 73.78 | 83.78 | +| light | 60.19 | 69.78 | +| truck | 49.17 | 63.52 | +| tower | 38.59 | 66.18 | +| chandelier | 71.72 | 82.09 | +| awning | 39.28 | 50.35 | +| streetlight | 36.86 | 48.1 | +| booth | 56.11 | 64.39 | +| television receiver | 80.04 | 90.38 | +| airplane | 67.51 | 77.44 | +| dirt track | 0.23 | 1.29 | +| apparel | 56.31 | 80.68 | +| pole | 31.32 | 43.08 | +| land | 0.79 | 1.04 | +| bannister | 16.32 | 20.99 | +| escalator | 57.53 | 84.62 | +| ottoman | 49.37 | 70.63 | +| bottle | 42.81 | 72.84 | +| buffet | 57.9 | 69.98 | +| poster | 35.23 | 50.13 | +| stage | 18.56 | 33.55 | +| van | 41.77 | 59.2 | +| ship | 77.33 | 94.5 | +| fountain | 43.66 | 44.56 | +| conveyer belt | 83.36 | 95.49 | +| canopy | 45.95 | 64.85 | +| washer | 89.88 | 96.27 | +| plaything | 32.47 | 51.31 | +| swimming pool | 80.9 | 88.98 | +| stool | 54.96 | 66.96 | +| barrel | 74.0 | 93.47 | +| basket | 44.95 | 58.82 | +| waterfall | 47.17 | 54.13 | +| tent | 88.06 | 99.26 | +| bag | 20.9 | 23.12 | +| minibike | 75.76 | 90.84 | +| cradle | 87.04 | 97.72 | +| oven | 52.37 | 69.0 | +| ball | 59.91 | 70.9 | +| food | 56.37 | 70.37 | +| step | 13.14 | 16.15 | +| tank | 62.42 | 67.19 | +| trade name | 26.61 | 31.15 | +| microwave | 84.56 | 96.18 | +| pot | 56.63 | 65.83 | +| animal | 61.57 | 62.75 | +| bicycle | 62.74 | 76.41 | +| lake | 56.57 | 63.69 | +| dishwasher | 73.36 | 79.36 | +| screen | 64.77 | 93.85 | +| blanket | 21.37 | 25.05 | +| sculpture | 80.49 | 87.36 | +| hood | 60.12 | 72.88 | +| sconce | 60.38 | 71.32 | +| vase | 47.88 | 66.81 | +| traffic light | 44.24 | 63.5 | +| tray | 22.9 | 29.28 | +| ashcan | 48.04 | 63.52 | +| fan | 70.99 | 81.84 | +| pier | 42.95 | 48.08 | +| crt screen | 4.1 | 7.94 | +| plate | 63.63 | 79.05 | +| monitor | 32.56 | 37.7 | +| bulletin board | 48.42 | 58.56 | +| shower | 15.7 | 20.62 | +| radiator | 65.39 | 74.12 | +| glass | 22.81 | 24.25 | +| clock | 49.8 | 65.81 | +| flag | 55.26 | 60.45 | ++---------------------+-------+-------+ +2022-03-15 02:50:41,814 - mmseg - INFO - Summary: +2022-03-15 02:50:41,814 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 86.07 | 57.64 | 70.06 | ++-------+-------+-------+ +2022-03-15 02:50:41,819 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 02:50:41,820 - mmseg - INFO - Iter(val) [250] aAcc: 0.8607, mIoU: 0.5764, mAcc: 0.7006, IoU.wall: 0.8195, IoU.building: 0.8497, IoU.sky: 0.9479, IoU.floor: 0.8418, IoU.tree: 0.7686, IoU.ceiling: 0.8653, IoU.road: 0.8588, IoU.bed : 0.9228, IoU.windowpane: 0.6425, IoU.grass: 0.7151, IoU.cabinet: 0.6466, IoU.sidewalk: 0.7198, IoU.person: 0.8503, IoU.earth: 0.4028, IoU.door: 0.5617, IoU.table: 0.6923, IoU.mountain: 0.6539, IoU.plant: 0.5649, IoU.curtain: 0.7792, IoU.chair: 0.6442, IoU.car: 0.8765, IoU.water: 0.6520, IoU.painting: 0.7630, IoU.sofa: 0.7819, IoU.shelf: 0.4695, IoU.house: 0.5358, IoU.sea: 0.6625, IoU.mirror: 0.7711, IoU.rug: 0.6786, IoU.field: 0.3777, IoU.armchair: 0.5693, IoU.seat: 0.6404, IoU.fence: 0.4457, IoU.desk: 0.5687, IoU.rock: 0.5631, IoU.wardrobe: 0.5389, IoU.lamp: 0.7304, IoU.bathtub: 0.8616, IoU.railing: 0.3830, IoU.cushion: 0.6624, IoU.base: 0.4731, IoU.box: 0.3803, IoU.column: 0.5319, IoU.signboard: 0.4158, IoU.chest of drawers: 0.4359, IoU.counter: 0.5221, IoU.sand: 0.5555, IoU.sink: 0.8161, IoU.skyscraper: 0.5828, IoU.fireplace: 0.8063, IoU.refrigerator: 0.7879, IoU.grandstand: 0.5201, IoU.path: 0.2787, IoU.stairs: 0.3062, IoU.runway: 0.7047, IoU.case: 0.6064, IoU.pool table: 0.9471, IoU.pillow: 0.6436, IoU.screen door: 0.8326, IoU.stairway: 0.4314, IoU.river: 0.1075, IoU.bridge: 0.7469, IoU.bookcase: 0.4837, IoU.blind: 0.4050, IoU.coffee table: 0.6453, IoU.toilet: 0.8991, IoU.flower: 0.5059, IoU.book: 0.5314, IoU.hill: 0.1896, IoU.bench: 0.5230, IoU.countertop: 0.6320, IoU.stove: 0.8165, IoU.palm: 0.5392, IoU.kitchen island: 0.4746, IoU.computer: 0.8031, IoU.swivel chair: 0.4301, IoU.boat: 0.6866, IoU.bar: 0.6710, IoU.arcade machine: 0.8889, IoU.hovel: 0.5333, IoU.bus: 0.9342, IoU.towel: 0.7378, IoU.light: 0.6019, IoU.truck: 0.4917, IoU.tower: 0.3859, IoU.chandelier: 0.7172, IoU.awning: 0.3928, IoU.streetlight: 0.3686, IoU.booth: 0.5611, IoU.television receiver: 0.8004, IoU.airplane: 0.6751, IoU.dirt track: 0.0023, IoU.apparel: 0.5631, IoU.pole: 0.3132, IoU.land: 0.0079, IoU.bannister: 0.1632, IoU.escalator: 0.5753, IoU.ottoman: 0.4937, IoU.bottle: 0.4281, IoU.buffet: 0.5790, IoU.poster: 0.3523, IoU.stage: 0.1856, IoU.van: 0.4177, IoU.ship: 0.7733, IoU.fountain: 0.4366, IoU.conveyer belt: 0.8336, IoU.canopy: 0.4595, IoU.washer: 0.8988, IoU.plaything: 0.3247, IoU.swimming pool: 0.8090, IoU.stool: 0.5496, IoU.barrel: 0.7400, IoU.basket: 0.4495, IoU.waterfall: 0.4717, IoU.tent: 0.8806, IoU.bag: 0.2090, IoU.minibike: 0.7576, IoU.cradle: 0.8704, IoU.oven: 0.5237, IoU.ball: 0.5991, IoU.food: 0.5637, IoU.step: 0.1314, IoU.tank: 0.6242, IoU.trade name: 0.2661, IoU.microwave: 0.8456, IoU.pot: 0.5663, IoU.animal: 0.6157, IoU.bicycle: 0.6274, IoU.lake: 0.5657, IoU.dishwasher: 0.7336, IoU.screen: 0.6477, IoU.blanket: 0.2137, IoU.sculpture: 0.8049, IoU.hood: 0.6012, IoU.sconce: 0.6038, IoU.vase: 0.4788, IoU.traffic light: 0.4424, IoU.tray: 0.2290, IoU.ashcan: 0.4804, IoU.fan: 0.7099, IoU.pier: 0.4295, IoU.crt screen: 0.0410, IoU.plate: 0.6363, IoU.monitor: 0.3256, IoU.bulletin board: 0.4842, IoU.shower: 0.1570, IoU.radiator: 0.6539, IoU.glass: 0.2281, IoU.clock: 0.4980, IoU.flag: 0.5526, Acc.wall: 0.8968, Acc.building: 0.9391, Acc.sky: 0.9756, Acc.floor: 0.9143, Acc.tree: 0.8845, Acc.ceiling: 0.9391, Acc.road: 0.9117, Acc.bed : 0.9748, Acc.windowpane: 0.7986, Acc.grass: 0.8710, Acc.cabinet: 0.7518, Acc.sidewalk: 0.8605, Acc.person: 0.9470, Acc.earth: 0.5321, Acc.door: 0.6987, Acc.table: 0.8106, Acc.mountain: 0.7536, Acc.plant: 0.6889, Acc.curtain: 0.8939, Acc.chair: 0.7560, Acc.car: 0.9395, Acc.water: 0.8132, Acc.painting: 0.9243, Acc.sofa: 0.8725, Acc.shelf: 0.6436, Acc.house: 0.6222, Acc.sea: 0.7619, Acc.mirror: 0.8351, Acc.rug: 0.8126, Acc.field: 0.4950, Acc.armchair: 0.7881, Acc.seat: 0.8924, Acc.fence: 0.5889, Acc.desk: 0.7990, Acc.rock: 0.8752, Acc.wardrobe: 0.7446, Acc.lamp: 0.8403, Acc.bathtub: 0.9042, Acc.railing: 0.5126, Acc.cushion: 0.7856, Acc.base: 0.5912, Acc.box: 0.4816, Acc.column: 0.6639, Acc.signboard: 0.5392, Acc.chest of drawers: 0.6443, Acc.counter: 0.5718, Acc.sand: 0.8338, Acc.sink: 0.8816, Acc.skyscraper: 0.7521, Acc.fireplace: 0.9129, Acc.refrigerator: 0.8808, Acc.grandstand: 0.8577, Acc.path: 0.3927, Acc.stairs: 0.3711, Acc.runway: 0.9284, Acc.case: 0.8123, Acc.pool table: 0.9826, Acc.pillow: 0.7392, Acc.screen door: 0.8850, Acc.stairway: 0.5737, Acc.river: 0.2398, Acc.bridge: 0.8702, Acc.bookcase: 0.6833, Acc.blind: 0.4208, Acc.coffee table: 0.8843, Acc.toilet: 0.9499, Acc.flower: 0.6197, Acc.book: 0.7670, Acc.hill: 0.2716, Acc.bench: 0.6050, Acc.countertop: 0.8589, Acc.stove: 0.8779, Acc.palm: 0.8343, Acc.kitchen island: 0.7745, Acc.computer: 0.9074, Acc.swivel chair: 0.6616, Acc.boat: 0.9336, Acc.bar: 0.8534, Acc.arcade machine: 0.9419, Acc.hovel: 0.5586, Acc.bus: 0.9730, Acc.towel: 0.8378, Acc.light: 0.6978, Acc.truck: 0.6352, Acc.tower: 0.6618, Acc.chandelier: 0.8209, Acc.awning: 0.5035, Acc.streetlight: 0.4810, Acc.booth: 0.6439, Acc.television receiver: 0.9038, Acc.airplane: 0.7744, Acc.dirt track: 0.0129, Acc.apparel: 0.8068, Acc.pole: 0.4308, Acc.land: 0.0104, Acc.bannister: 0.2099, Acc.escalator: 0.8462, Acc.ottoman: 0.7063, Acc.bottle: 0.7284, Acc.buffet: 0.6998, Acc.poster: 0.5013, Acc.stage: 0.3355, Acc.van: 0.5920, Acc.ship: 0.9450, Acc.fountain: 0.4456, Acc.conveyer belt: 0.9549, Acc.canopy: 0.6485, Acc.washer: 0.9627, Acc.plaything: 0.5131, Acc.swimming pool: 0.8898, Acc.stool: 0.6696, Acc.barrel: 0.9347, Acc.basket: 0.5882, Acc.waterfall: 0.5413, Acc.tent: 0.9926, Acc.bag: 0.2312, Acc.minibike: 0.9084, Acc.cradle: 0.9772, Acc.oven: 0.6900, Acc.ball: 0.7090, Acc.food: 0.7037, Acc.step: 0.1615, Acc.tank: 0.6719, Acc.trade name: 0.3115, Acc.microwave: 0.9618, Acc.pot: 0.6583, Acc.animal: 0.6275, Acc.bicycle: 0.7641, Acc.lake: 0.6369, Acc.dishwasher: 0.7936, Acc.screen: 0.9385, Acc.blanket: 0.2505, Acc.sculpture: 0.8736, Acc.hood: 0.7288, Acc.sconce: 0.7132, Acc.vase: 0.6681, Acc.traffic light: 0.6350, Acc.tray: 0.2928, Acc.ashcan: 0.6352, Acc.fan: 0.8184, Acc.pier: 0.4808, Acc.crt screen: 0.0794, Acc.plate: 0.7905, Acc.monitor: 0.3770, Acc.bulletin board: 0.5856, Acc.shower: 0.2062, Acc.radiator: 0.7412, Acc.glass: 0.2425, Acc.clock: 0.6581, Acc.flag: 0.6045 +2022-03-15 02:51:25,193 - mmseg - INFO - Iter [112050/160000] lr: 4.303e-07, eta: 11:41:19, time: 2.529, data_time: 1.667, memory: 73034, decode.loss_ce: 0.1359, decode.acc_seg: 74.8199, aux.loss_ce: 0.0731, aux.acc_seg: 73.6602, loss: 0.2090 +2022-03-15 02:52:08,477 - mmseg - INFO - Iter [112100/160000] lr: 4.299e-07, eta: 11:40:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1427, decode.acc_seg: 74.8928, aux.loss_ce: 0.0771, aux.acc_seg: 73.6851, loss: 0.2198 +2022-03-15 02:52:51,927 - mmseg - INFO - Iter [112150/160000] lr: 4.294e-07, eta: 11:39:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1436, decode.acc_seg: 75.9508, aux.loss_ce: 0.0778, aux.acc_seg: 74.6274, loss: 0.2214 +2022-03-15 02:53:35,517 - mmseg - INFO - Iter [112200/160000] lr: 4.290e-07, eta: 11:39:07, time: 0.874, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1401, decode.acc_seg: 75.6445, aux.loss_ce: 0.0758, aux.acc_seg: 74.3072, loss: 0.2159 +2022-03-15 02:54:18,962 - mmseg - INFO - Iter [112250/160000] lr: 4.285e-07, eta: 11:38:23, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1392, decode.acc_seg: 75.4567, aux.loss_ce: 0.0767, aux.acc_seg: 74.0906, loss: 0.2158 +2022-03-15 02:55:02,286 - mmseg - INFO - Iter [112300/160000] lr: 4.281e-07, eta: 11:37:39, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1378, decode.acc_seg: 76.1173, aux.loss_ce: 0.0752, aux.acc_seg: 74.7564, loss: 0.2131 +2022-03-15 02:55:45,576 - mmseg - INFO - Iter [112350/160000] lr: 4.276e-07, eta: 11:36:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1433, decode.acc_seg: 76.3492, aux.loss_ce: 0.0764, aux.acc_seg: 75.1351, loss: 0.2197 +2022-03-15 02:56:28,909 - mmseg - INFO - Iter [112400/160000] lr: 4.272e-07, eta: 11:36:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1406, decode.acc_seg: 76.1857, aux.loss_ce: 0.0761, aux.acc_seg: 74.9310, loss: 0.2167 +2022-03-15 02:57:14,665 - mmseg - INFO - Iter [112450/160000] lr: 4.267e-07, eta: 11:35:28, time: 0.915, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1282, decode.acc_seg: 75.3748, aux.loss_ce: 0.0699, aux.acc_seg: 74.1823, loss: 0.1981 +2022-03-15 02:57:58,065 - mmseg - INFO - Iter [112500/160000] lr: 4.263e-07, eta: 11:34:44, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1332, decode.acc_seg: 75.7017, aux.loss_ce: 0.0729, aux.acc_seg: 74.4349, loss: 0.2060 +2022-03-15 02:58:41,269 - mmseg - INFO - Iter [112550/160000] lr: 4.258e-07, eta: 11:33:59, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1379, decode.acc_seg: 76.2707, aux.loss_ce: 0.0746, aux.acc_seg: 75.0035, loss: 0.2126 +2022-03-15 02:59:24,891 - mmseg - INFO - Iter [112600/160000] lr: 4.254e-07, eta: 11:33:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1335, decode.acc_seg: 75.9392, aux.loss_ce: 0.0729, aux.acc_seg: 74.6888, loss: 0.2065 +2022-03-15 03:00:08,374 - mmseg - INFO - Iter [112650/160000] lr: 4.249e-07, eta: 11:32:31, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1412, decode.acc_seg: 75.6738, aux.loss_ce: 0.0764, aux.acc_seg: 74.4250, loss: 0.2175 +2022-03-15 03:00:51,544 - mmseg - INFO - Iter [112700/160000] lr: 4.245e-07, eta: 11:31:47, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1382, decode.acc_seg: 76.5629, aux.loss_ce: 0.0743, aux.acc_seg: 75.4016, loss: 0.2125 +2022-03-15 03:01:34,963 - mmseg - INFO - Iter [112750/160000] lr: 4.240e-07, eta: 11:31:03, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1457, decode.acc_seg: 74.5543, aux.loss_ce: 0.0760, aux.acc_seg: 73.3414, loss: 0.2217 +2022-03-15 03:02:18,506 - mmseg - INFO - Iter [112800/160000] lr: 4.236e-07, eta: 11:30:19, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 76.1716, aux.loss_ce: 0.0712, aux.acc_seg: 74.9174, loss: 0.2027 +2022-03-15 03:03:02,149 - mmseg - INFO - Iter [112850/160000] lr: 4.231e-07, eta: 11:29:35, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1348, decode.acc_seg: 76.2451, aux.loss_ce: 0.0734, aux.acc_seg: 75.0270, loss: 0.2082 +2022-03-15 03:03:45,544 - mmseg - INFO - Iter [112900/160000] lr: 4.227e-07, eta: 11:28:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1327, decode.acc_seg: 75.9029, aux.loss_ce: 0.0710, aux.acc_seg: 74.6841, loss: 0.2037 +2022-03-15 03:04:28,967 - mmseg - INFO - Iter [112950/160000] lr: 4.222e-07, eta: 11:28:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 75.6582, aux.loss_ce: 0.0699, aux.acc_seg: 74.4446, loss: 0.1970 +2022-03-15 03:05:12,203 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 03:05:12,206 - mmseg - INFO - Iter [113000/160000] lr: 4.218e-07, eta: 11:27:23, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 76.8537, aux.loss_ce: 0.0744, aux.acc_seg: 75.6697, loss: 0.2148 +2022-03-15 03:05:55,734 - mmseg - INFO - Iter [113050/160000] lr: 4.213e-07, eta: 11:26:39, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1385, decode.acc_seg: 76.2419, aux.loss_ce: 0.0759, aux.acc_seg: 74.9157, loss: 0.2144 +2022-03-15 03:06:39,046 - mmseg - INFO - Iter [113100/160000] lr: 4.209e-07, eta: 11:25:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1295, decode.acc_seg: 76.6656, aux.loss_ce: 0.0701, aux.acc_seg: 75.4520, loss: 0.1995 +2022-03-15 03:07:22,527 - mmseg - INFO - Iter [113150/160000] lr: 4.204e-07, eta: 11:25:11, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 74.7997, aux.loss_ce: 0.0722, aux.acc_seg: 73.4975, loss: 0.2036 +2022-03-15 03:08:05,941 - mmseg - INFO - Iter [113200/160000] lr: 4.200e-07, eta: 11:24:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1383, decode.acc_seg: 75.6311, aux.loss_ce: 0.0761, aux.acc_seg: 74.3204, loss: 0.2143 +2022-03-15 03:08:49,263 - mmseg - INFO - Iter [113250/160000] lr: 4.195e-07, eta: 11:23:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 75.2843, aux.loss_ce: 0.0768, aux.acc_seg: 74.1108, loss: 0.2188 +2022-03-15 03:09:32,887 - mmseg - INFO - Iter [113300/160000] lr: 4.191e-07, eta: 11:22:59, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1426, decode.acc_seg: 75.8655, aux.loss_ce: 0.0779, aux.acc_seg: 74.6129, loss: 0.2204 +2022-03-15 03:10:16,263 - mmseg - INFO - Iter [113350/160000] lr: 4.186e-07, eta: 11:22:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 75.5833, aux.loss_ce: 0.0729, aux.acc_seg: 74.3832, loss: 0.2060 +2022-03-15 03:10:59,607 - mmseg - INFO - Iter [113400/160000] lr: 4.182e-07, eta: 11:21:30, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1348, decode.acc_seg: 77.0920, aux.loss_ce: 0.0742, aux.acc_seg: 75.7125, loss: 0.2090 +2022-03-15 03:11:42,974 - mmseg - INFO - Iter [113450/160000] lr: 4.177e-07, eta: 11:20:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 77.5588, aux.loss_ce: 0.0728, aux.acc_seg: 76.3928, loss: 0.2071 +2022-03-15 03:12:26,405 - mmseg - INFO - Iter [113500/160000] lr: 4.173e-07, eta: 11:20:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 75.5963, aux.loss_ce: 0.0762, aux.acc_seg: 74.1870, loss: 0.2133 +2022-03-15 03:13:09,943 - mmseg - INFO - Iter [113550/160000] lr: 4.168e-07, eta: 11:19:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1436, decode.acc_seg: 76.5891, aux.loss_ce: 0.0783, aux.acc_seg: 75.2340, loss: 0.2219 +2022-03-15 03:13:53,503 - mmseg - INFO - Iter [113600/160000] lr: 4.164e-07, eta: 11:18:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1412, decode.acc_seg: 75.5457, aux.loss_ce: 0.0768, aux.acc_seg: 74.2603, loss: 0.2180 +2022-03-15 03:14:36,753 - mmseg - INFO - Iter [113650/160000] lr: 4.159e-07, eta: 11:17:50, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1326, decode.acc_seg: 75.3922, aux.loss_ce: 0.0723, aux.acc_seg: 74.2284, loss: 0.2049 +2022-03-15 03:15:22,521 - mmseg - INFO - Iter [113700/160000] lr: 4.155e-07, eta: 11:17:07, time: 0.915, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1434, decode.acc_seg: 75.5954, aux.loss_ce: 0.0777, aux.acc_seg: 74.1720, loss: 0.2211 +2022-03-15 03:16:05,780 - mmseg - INFO - Iter [113750/160000] lr: 4.150e-07, eta: 11:16:23, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1282, decode.acc_seg: 75.6456, aux.loss_ce: 0.0708, aux.acc_seg: 74.3272, loss: 0.1990 +2022-03-15 03:16:48,908 - mmseg - INFO - Iter [113800/160000] lr: 4.146e-07, eta: 11:15:39, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 76.8757, aux.loss_ce: 0.0756, aux.acc_seg: 75.5253, loss: 0.2124 +2022-03-15 03:17:32,113 - mmseg - INFO - Iter [113850/160000] lr: 4.141e-07, eta: 11:14:55, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1386, decode.acc_seg: 75.1761, aux.loss_ce: 0.0751, aux.acc_seg: 73.9042, loss: 0.2137 +2022-03-15 03:18:15,817 - mmseg - INFO - Iter [113900/160000] lr: 4.137e-07, eta: 11:14:11, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1314, decode.acc_seg: 74.6970, aux.loss_ce: 0.0738, aux.acc_seg: 73.2658, loss: 0.2052 +2022-03-15 03:18:59,058 - mmseg - INFO - Iter [113950/160000] lr: 4.132e-07, eta: 11:13:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 74.2846, aux.loss_ce: 0.0726, aux.acc_seg: 73.0440, loss: 0.2051 +2022-03-15 03:19:42,181 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 03:19:42,184 - mmseg - INFO - Iter [114000/160000] lr: 4.128e-07, eta: 11:12:42, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 76.1841, aux.loss_ce: 0.0748, aux.acc_seg: 74.7780, loss: 0.2088 +2022-03-15 03:20:25,672 - mmseg - INFO - Iter [114050/160000] lr: 4.124e-07, eta: 11:11:58, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1328, decode.acc_seg: 75.3150, aux.loss_ce: 0.0730, aux.acc_seg: 74.0042, loss: 0.2058 +2022-03-15 03:21:08,949 - mmseg - INFO - Iter [114100/160000] lr: 4.119e-07, eta: 11:11:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1376, decode.acc_seg: 77.3867, aux.loss_ce: 0.0747, aux.acc_seg: 76.1291, loss: 0.2123 +2022-03-15 03:21:52,180 - mmseg - INFO - Iter [114150/160000] lr: 4.115e-07, eta: 11:10:30, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 76.6314, aux.loss_ce: 0.0694, aux.acc_seg: 75.4068, loss: 0.1962 +2022-03-15 03:22:35,628 - mmseg - INFO - Iter [114200/160000] lr: 4.110e-07, eta: 11:09:46, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1361, decode.acc_seg: 76.9780, aux.loss_ce: 0.0736, aux.acc_seg: 75.6708, loss: 0.2098 +2022-03-15 03:23:19,104 - mmseg - INFO - Iter [114250/160000] lr: 4.106e-07, eta: 11:09:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 74.4819, aux.loss_ce: 0.0767, aux.acc_seg: 73.2162, loss: 0.2171 +2022-03-15 03:24:02,500 - mmseg - INFO - Iter [114300/160000] lr: 4.101e-07, eta: 11:08:18, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.1256, aux.loss_ce: 0.0731, aux.acc_seg: 74.7771, loss: 0.2054 +2022-03-15 03:24:46,087 - mmseg - INFO - Iter [114350/160000] lr: 4.097e-07, eta: 11:07:34, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1433, decode.acc_seg: 77.1868, aux.loss_ce: 0.0794, aux.acc_seg: 75.7556, loss: 0.2227 +2022-03-15 03:25:29,484 - mmseg - INFO - Iter [114400/160000] lr: 4.092e-07, eta: 11:06:50, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1341, decode.acc_seg: 75.0353, aux.loss_ce: 0.0738, aux.acc_seg: 73.6861, loss: 0.2078 +2022-03-15 03:26:12,760 - mmseg - INFO - Iter [114450/160000] lr: 4.088e-07, eta: 11:06:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 77.3916, aux.loss_ce: 0.0723, aux.acc_seg: 76.1602, loss: 0.2063 +2022-03-15 03:26:56,085 - mmseg - INFO - Iter [114500/160000] lr: 4.083e-07, eta: 11:05:22, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1432, decode.acc_seg: 76.4907, aux.loss_ce: 0.0777, aux.acc_seg: 75.1900, loss: 0.2210 +2022-03-15 03:27:39,368 - mmseg - INFO - Iter [114550/160000] lr: 4.079e-07, eta: 11:04:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 76.3189, aux.loss_ce: 0.0728, aux.acc_seg: 75.1348, loss: 0.2100 +2022-03-15 03:28:23,005 - mmseg - INFO - Iter [114600/160000] lr: 4.074e-07, eta: 11:03:54, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 75.8733, aux.loss_ce: 0.0737, aux.acc_seg: 74.5497, loss: 0.2086 +2022-03-15 03:29:06,661 - mmseg - INFO - Iter [114650/160000] lr: 4.070e-07, eta: 11:03:10, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1377, decode.acc_seg: 76.4878, aux.loss_ce: 0.0749, aux.acc_seg: 75.2770, loss: 0.2126 +2022-03-15 03:29:49,874 - mmseg - INFO - Iter [114700/160000] lr: 4.065e-07, eta: 11:02:26, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1353, decode.acc_seg: 76.7097, aux.loss_ce: 0.0725, aux.acc_seg: 75.5851, loss: 0.2079 +2022-03-15 03:30:33,166 - mmseg - INFO - Iter [114750/160000] lr: 4.061e-07, eta: 11:01:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1352, decode.acc_seg: 76.3930, aux.loss_ce: 0.0749, aux.acc_seg: 75.0378, loss: 0.2100 +2022-03-15 03:31:16,429 - mmseg - INFO - Iter [114800/160000] lr: 4.056e-07, eta: 11:00:57, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1434, decode.acc_seg: 75.5013, aux.loss_ce: 0.0764, aux.acc_seg: 74.3888, loss: 0.2199 +2022-03-15 03:31:59,909 - mmseg - INFO - Iter [114850/160000] lr: 4.052e-07, eta: 11:00:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1386, decode.acc_seg: 75.6960, aux.loss_ce: 0.0771, aux.acc_seg: 74.4047, loss: 0.2157 +2022-03-15 03:32:43,174 - mmseg - INFO - Iter [114900/160000] lr: 4.047e-07, eta: 10:59:29, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 75.7084, aux.loss_ce: 0.0754, aux.acc_seg: 74.4423, loss: 0.2154 +2022-03-15 03:33:29,174 - mmseg - INFO - Iter [114950/160000] lr: 4.043e-07, eta: 10:58:46, time: 0.920, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 76.6028, aux.loss_ce: 0.0755, aux.acc_seg: 75.4187, loss: 0.2167 +2022-03-15 03:34:12,608 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 03:34:12,621 - mmseg - INFO - Iter [115000/160000] lr: 4.038e-07, eta: 10:58:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1277, decode.acc_seg: 76.8880, aux.loss_ce: 0.0702, aux.acc_seg: 75.6274, loss: 0.1979 +2022-03-15 03:34:56,184 - mmseg - INFO - Iter [115050/160000] lr: 4.034e-07, eta: 10:57:18, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 75.3768, aux.loss_ce: 0.0730, aux.acc_seg: 74.0211, loss: 0.2053 +2022-03-15 03:35:39,446 - mmseg - INFO - Iter [115100/160000] lr: 4.029e-07, eta: 10:56:34, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 76.3388, aux.loss_ce: 0.0708, aux.acc_seg: 75.0966, loss: 0.2005 +2022-03-15 03:36:22,798 - mmseg - INFO - Iter [115150/160000] lr: 4.025e-07, eta: 10:55:50, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1337, decode.acc_seg: 76.5337, aux.loss_ce: 0.0734, aux.acc_seg: 75.2224, loss: 0.2071 +2022-03-15 03:37:06,206 - mmseg - INFO - Iter [115200/160000] lr: 4.020e-07, eta: 10:55:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1405, decode.acc_seg: 77.1038, aux.loss_ce: 0.0768, aux.acc_seg: 75.7933, loss: 0.2173 +2022-03-15 03:37:49,723 - mmseg - INFO - Iter [115250/160000] lr: 4.016e-07, eta: 10:54:22, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1381, decode.acc_seg: 76.8304, aux.loss_ce: 0.0745, aux.acc_seg: 75.5742, loss: 0.2125 +2022-03-15 03:38:33,120 - mmseg - INFO - Iter [115300/160000] lr: 4.011e-07, eta: 10:53:38, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 77.1974, aux.loss_ce: 0.0723, aux.acc_seg: 75.9535, loss: 0.2045 +2022-03-15 03:39:16,430 - mmseg - INFO - Iter [115350/160000] lr: 4.007e-07, eta: 10:52:54, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 77.1233, aux.loss_ce: 0.0752, aux.acc_seg: 75.8701, loss: 0.2136 +2022-03-15 03:39:59,738 - mmseg - INFO - Iter [115400/160000] lr: 4.002e-07, eta: 10:52:10, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1454, decode.acc_seg: 76.1535, aux.loss_ce: 0.0795, aux.acc_seg: 74.8164, loss: 0.2248 +2022-03-15 03:40:42,972 - mmseg - INFO - Iter [115450/160000] lr: 3.998e-07, eta: 10:51:26, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1401, decode.acc_seg: 77.1299, aux.loss_ce: 0.0769, aux.acc_seg: 75.8195, loss: 0.2170 +2022-03-15 03:41:26,221 - mmseg - INFO - Iter [115500/160000] lr: 3.993e-07, eta: 10:50:41, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1318, decode.acc_seg: 75.2614, aux.loss_ce: 0.0717, aux.acc_seg: 74.0617, loss: 0.2035 +2022-03-15 03:42:09,556 - mmseg - INFO - Iter [115550/160000] lr: 3.989e-07, eta: 10:49:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1358, decode.acc_seg: 76.2361, aux.loss_ce: 0.0729, aux.acc_seg: 75.1177, loss: 0.2087 +2022-03-15 03:42:52,890 - mmseg - INFO - Iter [115600/160000] lr: 3.984e-07, eta: 10:49:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1389, decode.acc_seg: 74.8320, aux.loss_ce: 0.0752, aux.acc_seg: 73.5576, loss: 0.2141 +2022-03-15 03:43:36,440 - mmseg - INFO - Iter [115650/160000] lr: 3.980e-07, eta: 10:48:29, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 76.2843, aux.loss_ce: 0.0712, aux.acc_seg: 75.0457, loss: 0.2010 +2022-03-15 03:44:19,994 - mmseg - INFO - Iter [115700/160000] lr: 3.975e-07, eta: 10:47:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1345, decode.acc_seg: 75.0307, aux.loss_ce: 0.0728, aux.acc_seg: 73.7796, loss: 0.2073 +2022-03-15 03:45:03,533 - mmseg - INFO - Iter [115750/160000] lr: 3.971e-07, eta: 10:47:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1455, decode.acc_seg: 75.2646, aux.loss_ce: 0.0790, aux.acc_seg: 73.9758, loss: 0.2245 +2022-03-15 03:45:47,153 - mmseg - INFO - Iter [115800/160000] lr: 3.966e-07, eta: 10:46:17, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1421, decode.acc_seg: 75.5977, aux.loss_ce: 0.0741, aux.acc_seg: 74.6649, loss: 0.2161 +2022-03-15 03:46:30,451 - mmseg - INFO - Iter [115850/160000] lr: 3.962e-07, eta: 10:45:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1329, decode.acc_seg: 74.7654, aux.loss_ce: 0.0737, aux.acc_seg: 73.4864, loss: 0.2067 +2022-03-15 03:47:13,767 - mmseg - INFO - Iter [115900/160000] lr: 3.958e-07, eta: 10:44:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1416, decode.acc_seg: 77.5630, aux.loss_ce: 0.0784, aux.acc_seg: 76.1725, loss: 0.2201 +2022-03-15 03:47:57,154 - mmseg - INFO - Iter [115950/160000] lr: 3.953e-07, eta: 10:44:05, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1377, decode.acc_seg: 76.3375, aux.loss_ce: 0.0757, aux.acc_seg: 75.0411, loss: 0.2134 +2022-03-15 03:48:40,597 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 03:48:40,600 - mmseg - INFO - Iter [116000/160000] lr: 3.949e-07, eta: 10:43:21, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 76.2560, aux.loss_ce: 0.0720, aux.acc_seg: 74.9754, loss: 0.2025 +2022-03-15 03:49:23,971 - mmseg - INFO - Iter [116050/160000] lr: 3.944e-07, eta: 10:42:37, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1357, decode.acc_seg: 76.8307, aux.loss_ce: 0.0724, aux.acc_seg: 75.6952, loss: 0.2081 +2022-03-15 03:50:07,354 - mmseg - INFO - Iter [116100/160000] lr: 3.940e-07, eta: 10:41:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 74.7739, aux.loss_ce: 0.0717, aux.acc_seg: 73.4985, loss: 0.2040 +2022-03-15 03:50:50,654 - mmseg - INFO - Iter [116150/160000] lr: 3.935e-07, eta: 10:41:09, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1377, decode.acc_seg: 76.3192, aux.loss_ce: 0.0752, aux.acc_seg: 74.9601, loss: 0.2129 +2022-03-15 03:51:36,180 - mmseg - INFO - Iter [116200/160000] lr: 3.931e-07, eta: 10:40:26, time: 0.911, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1365, decode.acc_seg: 75.4300, aux.loss_ce: 0.0757, aux.acc_seg: 74.0897, loss: 0.2122 +2022-03-15 03:52:19,453 - mmseg - INFO - Iter [116250/160000] lr: 3.926e-07, eta: 10:39:42, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1341, decode.acc_seg: 75.1272, aux.loss_ce: 0.0738, aux.acc_seg: 73.8451, loss: 0.2079 +2022-03-15 03:53:02,672 - mmseg - INFO - Iter [116300/160000] lr: 3.922e-07, eta: 10:38:58, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1279, decode.acc_seg: 75.4529, aux.loss_ce: 0.0699, aux.acc_seg: 74.1587, loss: 0.1978 +2022-03-15 03:53:46,125 - mmseg - INFO - Iter [116350/160000] lr: 3.917e-07, eta: 10:38:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1361, decode.acc_seg: 76.2783, aux.loss_ce: 0.0743, aux.acc_seg: 75.0320, loss: 0.2104 +2022-03-15 03:54:29,699 - mmseg - INFO - Iter [116400/160000] lr: 3.913e-07, eta: 10:37:30, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 74.9820, aux.loss_ce: 0.0750, aux.acc_seg: 73.6638, loss: 0.2101 +2022-03-15 03:55:13,269 - mmseg - INFO - Iter [116450/160000] lr: 3.908e-07, eta: 10:36:46, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1399, decode.acc_seg: 77.6630, aux.loss_ce: 0.0752, aux.acc_seg: 76.4772, loss: 0.2151 +2022-03-15 03:55:56,695 - mmseg - INFO - Iter [116500/160000] lr: 3.904e-07, eta: 10:36:02, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1356, decode.acc_seg: 77.1529, aux.loss_ce: 0.0734, aux.acc_seg: 75.9422, loss: 0.2091 +2022-03-15 03:56:40,250 - mmseg - INFO - Iter [116550/160000] lr: 3.899e-07, eta: 10:35:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 76.7497, aux.loss_ce: 0.0707, aux.acc_seg: 75.5195, loss: 0.1991 +2022-03-15 03:57:23,719 - mmseg - INFO - Iter [116600/160000] lr: 3.895e-07, eta: 10:34:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1300, decode.acc_seg: 76.4418, aux.loss_ce: 0.0725, aux.acc_seg: 75.0650, loss: 0.2026 +2022-03-15 03:58:07,053 - mmseg - INFO - Iter [116650/160000] lr: 3.890e-07, eta: 10:33:50, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1377, decode.acc_seg: 76.0433, aux.loss_ce: 0.0736, aux.acc_seg: 74.8451, loss: 0.2113 +2022-03-15 03:58:50,331 - mmseg - INFO - Iter [116700/160000] lr: 3.886e-07, eta: 10:33:05, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1386, decode.acc_seg: 75.5864, aux.loss_ce: 0.0749, aux.acc_seg: 74.3933, loss: 0.2135 +2022-03-15 03:59:33,757 - mmseg - INFO - Iter [116750/160000] lr: 3.881e-07, eta: 10:32:21, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1391, decode.acc_seg: 74.9699, aux.loss_ce: 0.0755, aux.acc_seg: 73.7754, loss: 0.2146 +2022-03-15 04:00:17,196 - mmseg - INFO - Iter [116800/160000] lr: 3.877e-07, eta: 10:31:37, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1435, decode.acc_seg: 76.2451, aux.loss_ce: 0.0783, aux.acc_seg: 74.9650, loss: 0.2219 +2022-03-15 04:01:01,004 - mmseg - INFO - Iter [116850/160000] lr: 3.872e-07, eta: 10:30:54, time: 0.878, data_time: 0.010, memory: 73034, decode.loss_ce: 0.1504, decode.acc_seg: 74.8592, aux.loss_ce: 0.0833, aux.acc_seg: 73.2834, loss: 0.2337 +2022-03-15 04:01:44,377 - mmseg - INFO - Iter [116900/160000] lr: 3.868e-07, eta: 10:30:09, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1456, decode.acc_seg: 77.2686, aux.loss_ce: 0.0783, aux.acc_seg: 75.9594, loss: 0.2239 +2022-03-15 04:02:27,786 - mmseg - INFO - Iter [116950/160000] lr: 3.863e-07, eta: 10:29:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 75.8594, aux.loss_ce: 0.0737, aux.acc_seg: 74.6990, loss: 0.2079 +2022-03-15 04:03:11,190 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 04:03:11,194 - mmseg - INFO - Iter [117000/160000] lr: 3.859e-07, eta: 10:28:41, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1301, decode.acc_seg: 74.7682, aux.loss_ce: 0.0707, aux.acc_seg: 73.5198, loss: 0.2008 +2022-03-15 04:03:54,928 - mmseg - INFO - Iter [117050/160000] lr: 3.854e-07, eta: 10:27:57, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 76.0769, aux.loss_ce: 0.0752, aux.acc_seg: 74.8014, loss: 0.2123 +2022-03-15 04:04:38,437 - mmseg - INFO - Iter [117100/160000] lr: 3.850e-07, eta: 10:27:13, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1302, decode.acc_seg: 77.0369, aux.loss_ce: 0.0719, aux.acc_seg: 75.7793, loss: 0.2020 +2022-03-15 04:05:21,811 - mmseg - INFO - Iter [117150/160000] lr: 3.845e-07, eta: 10:26:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 76.0481, aux.loss_ce: 0.0682, aux.acc_seg: 74.8020, loss: 0.1918 +2022-03-15 04:06:05,217 - mmseg - INFO - Iter [117200/160000] lr: 3.841e-07, eta: 10:25:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1353, decode.acc_seg: 76.8127, aux.loss_ce: 0.0749, aux.acc_seg: 75.5147, loss: 0.2102 +2022-03-15 04:06:48,722 - mmseg - INFO - Iter [117250/160000] lr: 3.836e-07, eta: 10:25:01, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 76.2285, aux.loss_ce: 0.0731, aux.acc_seg: 74.8868, loss: 0.2053 +2022-03-15 04:07:31,991 - mmseg - INFO - Iter [117300/160000] lr: 3.832e-07, eta: 10:24:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 77.8236, aux.loss_ce: 0.0772, aux.acc_seg: 76.5157, loss: 0.2176 +2022-03-15 04:08:15,247 - mmseg - INFO - Iter [117350/160000] lr: 3.827e-07, eta: 10:23:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1370, decode.acc_seg: 75.4717, aux.loss_ce: 0.0752, aux.acc_seg: 74.1231, loss: 0.2122 +2022-03-15 04:08:58,497 - mmseg - INFO - Iter [117400/160000] lr: 3.823e-07, eta: 10:22:49, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1290, decode.acc_seg: 75.1020, aux.loss_ce: 0.0706, aux.acc_seg: 73.8589, loss: 0.1996 +2022-03-15 04:09:41,751 - mmseg - INFO - Iter [117450/160000] lr: 3.818e-07, eta: 10:22:05, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1365, decode.acc_seg: 75.7911, aux.loss_ce: 0.0737, aux.acc_seg: 74.5740, loss: 0.2102 +2022-03-15 04:10:27,778 - mmseg - INFO - Iter [117500/160000] lr: 3.814e-07, eta: 10:21:22, time: 0.921, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 76.6318, aux.loss_ce: 0.0695, aux.acc_seg: 75.3774, loss: 0.1944 +2022-03-15 04:11:11,097 - mmseg - INFO - Iter [117550/160000] lr: 3.809e-07, eta: 10:20:38, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1380, decode.acc_seg: 76.8235, aux.loss_ce: 0.0740, aux.acc_seg: 75.5019, loss: 0.2119 +2022-03-15 04:11:54,657 - mmseg - INFO - Iter [117600/160000] lr: 3.805e-07, eta: 10:19:54, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1398, decode.acc_seg: 76.3784, aux.loss_ce: 0.0761, aux.acc_seg: 75.0605, loss: 0.2158 +2022-03-15 04:12:38,126 - mmseg - INFO - Iter [117650/160000] lr: 3.800e-07, eta: 10:19:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 76.0009, aux.loss_ce: 0.0747, aux.acc_seg: 74.6390, loss: 0.2118 +2022-03-15 04:13:21,477 - mmseg - INFO - Iter [117700/160000] lr: 3.796e-07, eta: 10:18:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 75.2115, aux.loss_ce: 0.0699, aux.acc_seg: 74.0107, loss: 0.1984 +2022-03-15 04:14:04,910 - mmseg - INFO - Iter [117750/160000] lr: 3.791e-07, eta: 10:17:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1380, decode.acc_seg: 76.5538, aux.loss_ce: 0.0750, aux.acc_seg: 75.3405, loss: 0.2130 +2022-03-15 04:14:48,563 - mmseg - INFO - Iter [117800/160000] lr: 3.787e-07, eta: 10:16:58, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1354, decode.acc_seg: 75.4392, aux.loss_ce: 0.0749, aux.acc_seg: 74.1551, loss: 0.2103 +2022-03-15 04:15:32,145 - mmseg - INFO - Iter [117850/160000] lr: 3.783e-07, eta: 10:16:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1416, decode.acc_seg: 75.1717, aux.loss_ce: 0.0772, aux.acc_seg: 73.9311, loss: 0.2187 +2022-03-15 04:16:15,459 - mmseg - INFO - Iter [117900/160000] lr: 3.778e-07, eta: 10:15:30, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1308, decode.acc_seg: 77.3317, aux.loss_ce: 0.0729, aux.acc_seg: 75.9836, loss: 0.2037 +2022-03-15 04:16:58,640 - mmseg - INFO - Iter [117950/160000] lr: 3.774e-07, eta: 10:14:46, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1287, decode.acc_seg: 75.2816, aux.loss_ce: 0.0701, aux.acc_seg: 74.1204, loss: 0.1988 +2022-03-15 04:17:42,263 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 04:17:42,267 - mmseg - INFO - Iter [118000/160000] lr: 3.769e-07, eta: 10:14:02, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 75.4114, aux.loss_ce: 0.0716, aux.acc_seg: 74.2103, loss: 0.2021 +2022-03-15 04:18:25,484 - mmseg - INFO - Iter [118050/160000] lr: 3.765e-07, eta: 10:13:18, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1308, decode.acc_seg: 75.6542, aux.loss_ce: 0.0721, aux.acc_seg: 74.4332, loss: 0.2029 +2022-03-15 04:19:08,983 - mmseg - INFO - Iter [118100/160000] lr: 3.760e-07, eta: 10:12:34, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1375, decode.acc_seg: 75.5363, aux.loss_ce: 0.0757, aux.acc_seg: 74.1904, loss: 0.2132 +2022-03-15 04:19:52,546 - mmseg - INFO - Iter [118150/160000] lr: 3.756e-07, eta: 10:11:50, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1477, decode.acc_seg: 76.1066, aux.loss_ce: 0.0810, aux.acc_seg: 74.7768, loss: 0.2287 +2022-03-15 04:20:35,882 - mmseg - INFO - Iter [118200/160000] lr: 3.751e-07, eta: 10:11:06, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1413, decode.acc_seg: 77.0974, aux.loss_ce: 0.0778, aux.acc_seg: 75.7354, loss: 0.2192 +2022-03-15 04:21:19,237 - mmseg - INFO - Iter [118250/160000] lr: 3.747e-07, eta: 10:10:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1373, decode.acc_seg: 75.2831, aux.loss_ce: 0.0752, aux.acc_seg: 73.9420, loss: 0.2125 +2022-03-15 04:22:02,570 - mmseg - INFO - Iter [118300/160000] lr: 3.742e-07, eta: 10:09:38, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1337, decode.acc_seg: 75.9303, aux.loss_ce: 0.0710, aux.acc_seg: 74.8069, loss: 0.2047 +2022-03-15 04:22:45,958 - mmseg - INFO - Iter [118350/160000] lr: 3.738e-07, eta: 10:08:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1378, decode.acc_seg: 76.4791, aux.loss_ce: 0.0760, aux.acc_seg: 75.1216, loss: 0.2139 +2022-03-15 04:23:29,621 - mmseg - INFO - Iter [118400/160000] lr: 3.733e-07, eta: 10:08:10, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1303, decode.acc_seg: 75.8020, aux.loss_ce: 0.0709, aux.acc_seg: 74.5378, loss: 0.2012 +2022-03-15 04:24:13,066 - mmseg - INFO - Iter [118450/160000] lr: 3.729e-07, eta: 10:07:26, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1321, decode.acc_seg: 76.8222, aux.loss_ce: 0.0738, aux.acc_seg: 75.4620, loss: 0.2059 +2022-03-15 04:24:56,674 - mmseg - INFO - Iter [118500/160000] lr: 3.724e-07, eta: 10:06:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 75.1915, aux.loss_ce: 0.0710, aux.acc_seg: 73.8413, loss: 0.2014 +2022-03-15 04:25:39,960 - mmseg - INFO - Iter [118550/160000] lr: 3.720e-07, eta: 10:05:58, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1317, decode.acc_seg: 75.5744, aux.loss_ce: 0.0735, aux.acc_seg: 74.2261, loss: 0.2052 +2022-03-15 04:26:23,231 - mmseg - INFO - Iter [118600/160000] lr: 3.715e-07, eta: 10:05:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 74.9511, aux.loss_ce: 0.0730, aux.acc_seg: 73.7170, loss: 0.2052 +2022-03-15 04:27:06,734 - mmseg - INFO - Iter [118650/160000] lr: 3.711e-07, eta: 10:04:30, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1429, decode.acc_seg: 74.8627, aux.loss_ce: 0.0757, aux.acc_seg: 73.7866, loss: 0.2186 +2022-03-15 04:27:49,955 - mmseg - INFO - Iter [118700/160000] lr: 3.706e-07, eta: 10:03:46, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1360, decode.acc_seg: 75.1373, aux.loss_ce: 0.0734, aux.acc_seg: 74.0541, loss: 0.2094 +2022-03-15 04:28:35,634 - mmseg - INFO - Iter [118750/160000] lr: 3.702e-07, eta: 10:03:02, time: 0.914, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1316, decode.acc_seg: 74.4257, aux.loss_ce: 0.0713, aux.acc_seg: 73.2772, loss: 0.2029 +2022-03-15 04:29:18,881 - mmseg - INFO - Iter [118800/160000] lr: 3.697e-07, eta: 10:02:18, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 75.5941, aux.loss_ce: 0.0688, aux.acc_seg: 74.3108, loss: 0.1931 +2022-03-15 04:30:02,204 - mmseg - INFO - Iter [118850/160000] lr: 3.693e-07, eta: 10:01:34, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1336, decode.acc_seg: 75.3040, aux.loss_ce: 0.0728, aux.acc_seg: 74.1016, loss: 0.2065 +2022-03-15 04:30:45,446 - mmseg - INFO - Iter [118900/160000] lr: 3.688e-07, eta: 10:00:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 74.9449, aux.loss_ce: 0.0753, aux.acc_seg: 73.5694, loss: 0.2119 +2022-03-15 04:31:28,932 - mmseg - INFO - Iter [118950/160000] lr: 3.684e-07, eta: 10:00:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1397, decode.acc_seg: 75.3059, aux.loss_ce: 0.0756, aux.acc_seg: 74.0136, loss: 0.2153 +2022-03-15 04:32:12,374 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 04:32:12,379 - mmseg - INFO - Iter [119000/160000] lr: 3.679e-07, eta: 9:59:22, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 76.7946, aux.loss_ce: 0.0720, aux.acc_seg: 75.6203, loss: 0.2035 +2022-03-15 04:32:55,639 - mmseg - INFO - Iter [119050/160000] lr: 3.675e-07, eta: 9:58:38, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1370, decode.acc_seg: 77.7696, aux.loss_ce: 0.0754, aux.acc_seg: 76.4270, loss: 0.2124 +2022-03-15 04:33:38,973 - mmseg - INFO - Iter [119100/160000] lr: 3.670e-07, eta: 9:57:54, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1318, decode.acc_seg: 76.1477, aux.loss_ce: 0.0726, aux.acc_seg: 74.8441, loss: 0.2044 +2022-03-15 04:34:22,410 - mmseg - INFO - Iter [119150/160000] lr: 3.666e-07, eta: 9:57:10, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 75.9739, aux.loss_ce: 0.0730, aux.acc_seg: 74.7614, loss: 0.2070 +2022-03-15 04:35:05,702 - mmseg - INFO - Iter [119200/160000] lr: 3.661e-07, eta: 9:56:26, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1326, decode.acc_seg: 76.7175, aux.loss_ce: 0.0730, aux.acc_seg: 75.3519, loss: 0.2056 +2022-03-15 04:35:49,367 - mmseg - INFO - Iter [119250/160000] lr: 3.657e-07, eta: 9:55:42, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 76.9979, aux.loss_ce: 0.0734, aux.acc_seg: 75.7061, loss: 0.2064 +2022-03-15 04:36:32,837 - mmseg - INFO - Iter [119300/160000] lr: 3.652e-07, eta: 9:54:58, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1390, decode.acc_seg: 76.4179, aux.loss_ce: 0.0755, aux.acc_seg: 75.0784, loss: 0.2144 +2022-03-15 04:37:16,093 - mmseg - INFO - Iter [119350/160000] lr: 3.648e-07, eta: 9:54:14, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1248, decode.acc_seg: 76.7716, aux.loss_ce: 0.0703, aux.acc_seg: 75.4490, loss: 0.1951 +2022-03-15 04:37:59,243 - mmseg - INFO - Iter [119400/160000] lr: 3.643e-07, eta: 9:53:30, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1368, decode.acc_seg: 76.2293, aux.loss_ce: 0.0748, aux.acc_seg: 74.8474, loss: 0.2116 +2022-03-15 04:38:42,530 - mmseg - INFO - Iter [119450/160000] lr: 3.639e-07, eta: 9:52:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.4636, aux.loss_ce: 0.0735, aux.acc_seg: 75.1663, loss: 0.2058 +2022-03-15 04:39:25,698 - mmseg - INFO - Iter [119500/160000] lr: 3.634e-07, eta: 9:52:02, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1355, decode.acc_seg: 77.7013, aux.loss_ce: 0.0725, aux.acc_seg: 76.5580, loss: 0.2081 +2022-03-15 04:40:09,007 - mmseg - INFO - Iter [119550/160000] lr: 3.630e-07, eta: 9:51:18, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1379, decode.acc_seg: 76.3941, aux.loss_ce: 0.0776, aux.acc_seg: 74.9292, loss: 0.2155 +2022-03-15 04:40:52,238 - mmseg - INFO - Iter [119600/160000] lr: 3.625e-07, eta: 9:50:34, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1354, decode.acc_seg: 76.8155, aux.loss_ce: 0.0756, aux.acc_seg: 75.4871, loss: 0.2110 +2022-03-15 04:41:35,505 - mmseg - INFO - Iter [119650/160000] lr: 3.621e-07, eta: 9:49:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1310, decode.acc_seg: 75.0430, aux.loss_ce: 0.0724, aux.acc_seg: 73.7383, loss: 0.2034 +2022-03-15 04:42:18,764 - mmseg - INFO - Iter [119700/160000] lr: 3.617e-07, eta: 9:49:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 75.4102, aux.loss_ce: 0.0690, aux.acc_seg: 74.2786, loss: 0.1955 +2022-03-15 04:43:02,126 - mmseg - INFO - Iter [119750/160000] lr: 3.612e-07, eta: 9:48:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 75.5213, aux.loss_ce: 0.0720, aux.acc_seg: 74.2511, loss: 0.2025 +2022-03-15 04:43:45,684 - mmseg - INFO - Iter [119800/160000] lr: 3.608e-07, eta: 9:47:38, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 77.2071, aux.loss_ce: 0.0740, aux.acc_seg: 75.8454, loss: 0.2074 +2022-03-15 04:44:29,384 - mmseg - INFO - Iter [119850/160000] lr: 3.603e-07, eta: 9:46:54, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 77.1019, aux.loss_ce: 0.0731, aux.acc_seg: 75.8356, loss: 0.2047 +2022-03-15 04:45:12,791 - mmseg - INFO - Iter [119900/160000] lr: 3.599e-07, eta: 9:46:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1404, decode.acc_seg: 76.8720, aux.loss_ce: 0.0766, aux.acc_seg: 75.5574, loss: 0.2170 +2022-03-15 04:45:55,981 - mmseg - INFO - Iter [119950/160000] lr: 3.594e-07, eta: 9:45:26, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1376, decode.acc_seg: 76.2936, aux.loss_ce: 0.0756, aux.acc_seg: 74.9856, loss: 0.2132 +2022-03-15 04:46:41,994 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 04:46:42,000 - mmseg - INFO - Iter [120000/160000] lr: 3.590e-07, eta: 9:44:43, time: 0.920, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 76.8054, aux.loss_ce: 0.0718, aux.acc_seg: 75.5573, loss: 0.2033 +2022-03-15 04:47:25,489 - mmseg - INFO - Iter [120050/160000] lr: 3.585e-07, eta: 9:43:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1308, decode.acc_seg: 76.1821, aux.loss_ce: 0.0721, aux.acc_seg: 74.8260, loss: 0.2030 +2022-03-15 04:48:09,297 - mmseg - INFO - Iter [120100/160000] lr: 3.581e-07, eta: 9:43:15, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1375, decode.acc_seg: 76.7107, aux.loss_ce: 0.0763, aux.acc_seg: 75.3839, loss: 0.2138 +2022-03-15 04:48:52,653 - mmseg - INFO - Iter [120150/160000] lr: 3.576e-07, eta: 9:42:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1360, decode.acc_seg: 76.0426, aux.loss_ce: 0.0743, aux.acc_seg: 74.7402, loss: 0.2103 +2022-03-15 04:49:36,070 - mmseg - INFO - Iter [120200/160000] lr: 3.572e-07, eta: 9:41:47, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1361, decode.acc_seg: 75.3725, aux.loss_ce: 0.0742, aux.acc_seg: 74.0762, loss: 0.2103 +2022-03-15 04:50:19,259 - mmseg - INFO - Iter [120250/160000] lr: 3.567e-07, eta: 9:41:03, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 76.2649, aux.loss_ce: 0.0739, aux.acc_seg: 74.8926, loss: 0.2079 +2022-03-15 04:51:02,585 - mmseg - INFO - Iter [120300/160000] lr: 3.563e-07, eta: 9:40:19, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1280, decode.acc_seg: 75.5782, aux.loss_ce: 0.0710, aux.acc_seg: 74.2504, loss: 0.1990 +2022-03-15 04:51:46,038 - mmseg - INFO - Iter [120350/160000] lr: 3.558e-07, eta: 9:39:35, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1234, decode.acc_seg: 76.2408, aux.loss_ce: 0.0687, aux.acc_seg: 74.9515, loss: 0.1921 +2022-03-15 04:52:29,291 - mmseg - INFO - Iter [120400/160000] lr: 3.554e-07, eta: 9:38:51, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 75.9824, aux.loss_ce: 0.0760, aux.acc_seg: 74.6223, loss: 0.2132 +2022-03-15 04:53:12,714 - mmseg - INFO - Iter [120450/160000] lr: 3.549e-07, eta: 9:38:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 75.8502, aux.loss_ce: 0.0721, aux.acc_seg: 74.5830, loss: 0.2043 +2022-03-15 04:53:56,044 - mmseg - INFO - Iter [120500/160000] lr: 3.545e-07, eta: 9:37:23, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1266, decode.acc_seg: 76.8501, aux.loss_ce: 0.0696, aux.acc_seg: 75.5991, loss: 0.1962 +2022-03-15 04:54:39,590 - mmseg - INFO - Iter [120550/160000] lr: 3.540e-07, eta: 9:36:39, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1267, decode.acc_seg: 76.5244, aux.loss_ce: 0.0690, aux.acc_seg: 75.3754, loss: 0.1957 +2022-03-15 04:55:22,839 - mmseg - INFO - Iter [120600/160000] lr: 3.536e-07, eta: 9:35:55, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 75.6737, aux.loss_ce: 0.0716, aux.acc_seg: 74.4355, loss: 0.2013 +2022-03-15 04:56:06,194 - mmseg - INFO - Iter [120650/160000] lr: 3.531e-07, eta: 9:35:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1274, decode.acc_seg: 77.0391, aux.loss_ce: 0.0707, aux.acc_seg: 75.7129, loss: 0.1981 +2022-03-15 04:56:49,730 - mmseg - INFO - Iter [120700/160000] lr: 3.527e-07, eta: 9:34:27, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1383, decode.acc_seg: 78.1536, aux.loss_ce: 0.0755, aux.acc_seg: 76.8342, loss: 0.2138 +2022-03-15 04:57:33,214 - mmseg - INFO - Iter [120750/160000] lr: 3.522e-07, eta: 9:33:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1319, decode.acc_seg: 76.3606, aux.loss_ce: 0.0727, aux.acc_seg: 75.1275, loss: 0.2046 +2022-03-15 04:58:16,492 - mmseg - INFO - Iter [120800/160000] lr: 3.518e-07, eta: 9:32:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1293, decode.acc_seg: 76.8228, aux.loss_ce: 0.0696, aux.acc_seg: 75.6691, loss: 0.1989 +2022-03-15 04:58:59,877 - mmseg - INFO - Iter [120850/160000] lr: 3.513e-07, eta: 9:32:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1428, decode.acc_seg: 73.7306, aux.loss_ce: 0.0776, aux.acc_seg: 72.3840, loss: 0.2204 +2022-03-15 04:59:43,356 - mmseg - INFO - Iter [120900/160000] lr: 3.509e-07, eta: 9:31:31, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1306, decode.acc_seg: 76.5285, aux.loss_ce: 0.0715, aux.acc_seg: 75.3155, loss: 0.2021 +2022-03-15 05:00:26,898 - mmseg - INFO - Iter [120950/160000] lr: 3.504e-07, eta: 9:30:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1313, decode.acc_seg: 76.4109, aux.loss_ce: 0.0719, aux.acc_seg: 75.1964, loss: 0.2032 +2022-03-15 05:01:10,436 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 05:01:10,442 - mmseg - INFO - Iter [121000/160000] lr: 3.500e-07, eta: 9:30:03, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 76.0919, aux.loss_ce: 0.0743, aux.acc_seg: 74.7156, loss: 0.2086 +2022-03-15 05:01:53,885 - mmseg - INFO - Iter [121050/160000] lr: 3.495e-07, eta: 9:29:19, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 75.3399, aux.loss_ce: 0.0733, aux.acc_seg: 74.0631, loss: 0.2082 +2022-03-15 05:02:37,200 - mmseg - INFO - Iter [121100/160000] lr: 3.491e-07, eta: 9:28:35, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1335, decode.acc_seg: 75.4605, aux.loss_ce: 0.0745, aux.acc_seg: 74.0631, loss: 0.2080 +2022-03-15 05:03:20,770 - mmseg - INFO - Iter [121150/160000] lr: 3.486e-07, eta: 9:27:51, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1287, decode.acc_seg: 76.3238, aux.loss_ce: 0.0695, aux.acc_seg: 75.1651, loss: 0.1982 +2022-03-15 05:04:04,399 - mmseg - INFO - Iter [121200/160000] lr: 3.482e-07, eta: 9:27:07, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1314, decode.acc_seg: 75.4524, aux.loss_ce: 0.0724, aux.acc_seg: 74.1518, loss: 0.2038 +2022-03-15 05:04:50,140 - mmseg - INFO - Iter [121250/160000] lr: 3.477e-07, eta: 9:26:24, time: 0.915, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 77.3317, aux.loss_ce: 0.0687, aux.acc_seg: 76.1207, loss: 0.1926 +2022-03-15 05:05:33,553 - mmseg - INFO - Iter [121300/160000] lr: 3.473e-07, eta: 9:25:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 78.5499, aux.loss_ce: 0.0715, aux.acc_seg: 77.3498, loss: 0.2026 +2022-03-15 05:06:17,071 - mmseg - INFO - Iter [121350/160000] lr: 3.468e-07, eta: 9:24:56, time: 0.872, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1360, decode.acc_seg: 75.6622, aux.loss_ce: 0.0751, aux.acc_seg: 74.3023, loss: 0.2111 +2022-03-15 05:07:00,656 - mmseg - INFO - Iter [121400/160000] lr: 3.464e-07, eta: 9:24:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 76.5720, aux.loss_ce: 0.0703, aux.acc_seg: 75.3143, loss: 0.1971 +2022-03-15 05:07:44,429 - mmseg - INFO - Iter [121450/160000] lr: 3.459e-07, eta: 9:23:28, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1306, decode.acc_seg: 75.9365, aux.loss_ce: 0.0717, aux.acc_seg: 74.7353, loss: 0.2023 +2022-03-15 05:08:28,153 - mmseg - INFO - Iter [121500/160000] lr: 3.455e-07, eta: 9:22:44, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1336, decode.acc_seg: 76.3045, aux.loss_ce: 0.0728, aux.acc_seg: 75.0991, loss: 0.2064 +2022-03-15 05:09:11,726 - mmseg - INFO - Iter [121550/160000] lr: 3.450e-07, eta: 9:22:00, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1299, decode.acc_seg: 75.0474, aux.loss_ce: 0.0709, aux.acc_seg: 73.8232, loss: 0.2008 +2022-03-15 05:09:55,214 - mmseg - INFO - Iter [121600/160000] lr: 3.446e-07, eta: 9:21:16, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1359, decode.acc_seg: 75.9682, aux.loss_ce: 0.0743, aux.acc_seg: 74.6538, loss: 0.2101 +2022-03-15 05:10:38,481 - mmseg - INFO - Iter [121650/160000] lr: 3.442e-07, eta: 9:20:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 76.2963, aux.loss_ce: 0.0712, aux.acc_seg: 75.0971, loss: 0.2016 +2022-03-15 05:11:21,663 - mmseg - INFO - Iter [121700/160000] lr: 3.437e-07, eta: 9:19:48, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1391, decode.acc_seg: 77.1897, aux.loss_ce: 0.0747, aux.acc_seg: 75.9159, loss: 0.2138 +2022-03-15 05:12:05,234 - mmseg - INFO - Iter [121750/160000] lr: 3.433e-07, eta: 9:19:04, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 76.2580, aux.loss_ce: 0.0748, aux.acc_seg: 74.9321, loss: 0.2092 +2022-03-15 05:12:48,751 - mmseg - INFO - Iter [121800/160000] lr: 3.428e-07, eta: 9:18:20, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1222, decode.acc_seg: 75.3533, aux.loss_ce: 0.0673, aux.acc_seg: 74.1717, loss: 0.1895 +2022-03-15 05:13:32,446 - mmseg - INFO - Iter [121850/160000] lr: 3.424e-07, eta: 9:17:36, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 74.8454, aux.loss_ce: 0.0723, aux.acc_seg: 73.4780, loss: 0.2027 +2022-03-15 05:14:15,847 - mmseg - INFO - Iter [121900/160000] lr: 3.419e-07, eta: 9:16:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1276, decode.acc_seg: 75.8490, aux.loss_ce: 0.0709, aux.acc_seg: 74.5772, loss: 0.1985 +2022-03-15 05:14:59,206 - mmseg - INFO - Iter [121950/160000] lr: 3.415e-07, eta: 9:16:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 76.2158, aux.loss_ce: 0.0734, aux.acc_seg: 74.8637, loss: 0.2065 +2022-03-15 05:15:42,678 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 05:15:42,682 - mmseg - INFO - Iter [122000/160000] lr: 3.410e-07, eta: 9:15:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1352, decode.acc_seg: 77.1697, aux.loss_ce: 0.0744, aux.acc_seg: 75.8270, loss: 0.2096 +2022-03-15 05:16:26,018 - mmseg - INFO - Iter [122050/160000] lr: 3.406e-07, eta: 9:14:40, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1383, decode.acc_seg: 76.8649, aux.loss_ce: 0.0763, aux.acc_seg: 75.6086, loss: 0.2146 +2022-03-15 05:17:09,424 - mmseg - INFO - Iter [122100/160000] lr: 3.401e-07, eta: 9:13:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 75.9709, aux.loss_ce: 0.0741, aux.acc_seg: 74.6571, loss: 0.2093 +2022-03-15 05:17:52,733 - mmseg - INFO - Iter [122150/160000] lr: 3.397e-07, eta: 9:13:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 76.0857, aux.loss_ce: 0.0749, aux.acc_seg: 74.6950, loss: 0.2079 +2022-03-15 05:18:36,411 - mmseg - INFO - Iter [122200/160000] lr: 3.392e-07, eta: 9:12:28, time: 0.874, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 76.5451, aux.loss_ce: 0.0746, aux.acc_seg: 75.1235, loss: 0.2051 +2022-03-15 05:19:19,981 - mmseg - INFO - Iter [122250/160000] lr: 3.388e-07, eta: 9:11:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1293, decode.acc_seg: 75.7768, aux.loss_ce: 0.0716, aux.acc_seg: 74.4628, loss: 0.2009 +2022-03-15 05:20:03,514 - mmseg - INFO - Iter [122300/160000] lr: 3.383e-07, eta: 9:11:00, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1313, decode.acc_seg: 76.0556, aux.loss_ce: 0.0718, aux.acc_seg: 74.8778, loss: 0.2031 +2022-03-15 05:20:46,915 - mmseg - INFO - Iter [122350/160000] lr: 3.379e-07, eta: 9:10:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 75.3853, aux.loss_ce: 0.0700, aux.acc_seg: 74.1052, loss: 0.1960 +2022-03-15 05:21:30,479 - mmseg - INFO - Iter [122400/160000] lr: 3.374e-07, eta: 9:09:33, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1406, decode.acc_seg: 76.3658, aux.loss_ce: 0.0762, aux.acc_seg: 75.0621, loss: 0.2168 +2022-03-15 05:22:13,887 - mmseg - INFO - Iter [122450/160000] lr: 3.370e-07, eta: 9:08:49, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1361, decode.acc_seg: 76.7671, aux.loss_ce: 0.0750, aux.acc_seg: 75.4659, loss: 0.2112 +2022-03-15 05:22:57,233 - mmseg - INFO - Iter [122500/160000] lr: 3.365e-07, eta: 9:08:05, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1280, decode.acc_seg: 74.9440, aux.loss_ce: 0.0688, aux.acc_seg: 73.8023, loss: 0.1969 +2022-03-15 05:23:42,996 - mmseg - INFO - Iter [122550/160000] lr: 3.361e-07, eta: 9:07:21, time: 0.915, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 76.6108, aux.loss_ce: 0.0756, aux.acc_seg: 75.2261, loss: 0.2123 +2022-03-15 05:24:26,253 - mmseg - INFO - Iter [122600/160000] lr: 3.356e-07, eta: 9:06:37, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 74.6053, aux.loss_ce: 0.0691, aux.acc_seg: 73.3569, loss: 0.1944 +2022-03-15 05:25:09,725 - mmseg - INFO - Iter [122650/160000] lr: 3.352e-07, eta: 9:05:53, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 76.1277, aux.loss_ce: 0.0691, aux.acc_seg: 74.9034, loss: 0.1926 +2022-03-15 05:25:53,073 - mmseg - INFO - Iter [122700/160000] lr: 3.347e-07, eta: 9:05:09, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1296, decode.acc_seg: 77.3990, aux.loss_ce: 0.0722, aux.acc_seg: 76.1147, loss: 0.2018 +2022-03-15 05:26:36,545 - mmseg - INFO - Iter [122750/160000] lr: 3.343e-07, eta: 9:04:25, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1303, decode.acc_seg: 74.9984, aux.loss_ce: 0.0725, aux.acc_seg: 73.6865, loss: 0.2029 +2022-03-15 05:27:19,882 - mmseg - INFO - Iter [122800/160000] lr: 3.338e-07, eta: 9:03:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 76.1434, aux.loss_ce: 0.0725, aux.acc_seg: 74.9863, loss: 0.2068 +2022-03-15 05:28:03,064 - mmseg - INFO - Iter [122850/160000] lr: 3.334e-07, eta: 9:02:57, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 75.6647, aux.loss_ce: 0.0763, aux.acc_seg: 74.2676, loss: 0.2129 +2022-03-15 05:28:46,418 - mmseg - INFO - Iter [122900/160000] lr: 3.329e-07, eta: 9:02:13, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1258, decode.acc_seg: 77.8228, aux.loss_ce: 0.0683, aux.acc_seg: 76.6035, loss: 0.1941 +2022-03-15 05:29:29,594 - mmseg - INFO - Iter [122950/160000] lr: 3.325e-07, eta: 9:01:29, time: 0.865, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 76.6418, aux.loss_ce: 0.0665, aux.acc_seg: 75.3742, loss: 0.1872 +2022-03-15 05:30:13,035 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 05:30:13,052 - mmseg - INFO - Iter [123000/160000] lr: 3.320e-07, eta: 9:00:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1291, decode.acc_seg: 75.8116, aux.loss_ce: 0.0722, aux.acc_seg: 74.4695, loss: 0.2013 +2022-03-15 05:30:56,406 - mmseg - INFO - Iter [123050/160000] lr: 3.316e-07, eta: 9:00:01, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 75.5161, aux.loss_ce: 0.0705, aux.acc_seg: 74.2813, loss: 0.1989 +2022-03-15 05:31:39,861 - mmseg - INFO - Iter [123100/160000] lr: 3.311e-07, eta: 8:59:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1371, decode.acc_seg: 74.4493, aux.loss_ce: 0.0766, aux.acc_seg: 73.0596, loss: 0.2137 +2022-03-15 05:32:23,490 - mmseg - INFO - Iter [123150/160000] lr: 3.307e-07, eta: 8:58:33, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1364, decode.acc_seg: 75.9057, aux.loss_ce: 0.0737, aux.acc_seg: 74.6827, loss: 0.2101 +2022-03-15 05:33:06,817 - mmseg - INFO - Iter [123200/160000] lr: 3.302e-07, eta: 8:57:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1324, decode.acc_seg: 76.4054, aux.loss_ce: 0.0717, aux.acc_seg: 75.2111, loss: 0.2041 +2022-03-15 05:33:50,301 - mmseg - INFO - Iter [123250/160000] lr: 3.298e-07, eta: 8:57:05, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 76.9316, aux.loss_ce: 0.0695, aux.acc_seg: 75.7490, loss: 0.1979 +2022-03-15 05:34:33,624 - mmseg - INFO - Iter [123300/160000] lr: 3.293e-07, eta: 8:56:21, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 75.4380, aux.loss_ce: 0.0704, aux.acc_seg: 74.1755, loss: 0.1976 +2022-03-15 05:35:17,043 - mmseg - INFO - Iter [123350/160000] lr: 3.289e-07, eta: 8:55:38, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1352, decode.acc_seg: 77.1248, aux.loss_ce: 0.0738, aux.acc_seg: 75.8226, loss: 0.2090 +2022-03-15 05:36:00,416 - mmseg - INFO - Iter [123400/160000] lr: 3.284e-07, eta: 8:54:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1410, decode.acc_seg: 76.6057, aux.loss_ce: 0.0781, aux.acc_seg: 75.2911, loss: 0.2191 +2022-03-15 05:36:43,934 - mmseg - INFO - Iter [123450/160000] lr: 3.280e-07, eta: 8:54:10, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1362, decode.acc_seg: 76.2364, aux.loss_ce: 0.0752, aux.acc_seg: 74.8284, loss: 0.2114 +2022-03-15 05:37:27,511 - mmseg - INFO - Iter [123500/160000] lr: 3.275e-07, eta: 8:53:26, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1375, decode.acc_seg: 75.0009, aux.loss_ce: 0.0761, aux.acc_seg: 73.6055, loss: 0.2137 +2022-03-15 05:38:10,717 - mmseg - INFO - Iter [123550/160000] lr: 3.271e-07, eta: 8:52:42, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1317, decode.acc_seg: 76.8480, aux.loss_ce: 0.0714, aux.acc_seg: 75.6353, loss: 0.2031 +2022-03-15 05:38:54,099 - mmseg - INFO - Iter [123600/160000] lr: 3.267e-07, eta: 8:51:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1279, decode.acc_seg: 75.2043, aux.loss_ce: 0.0718, aux.acc_seg: 73.8375, loss: 0.1998 +2022-03-15 05:39:37,771 - mmseg - INFO - Iter [123650/160000] lr: 3.262e-07, eta: 8:51:14, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1290, decode.acc_seg: 77.5045, aux.loss_ce: 0.0707, aux.acc_seg: 76.2327, loss: 0.1997 +2022-03-15 05:40:21,334 - mmseg - INFO - Iter [123700/160000] lr: 3.258e-07, eta: 8:50:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1328, decode.acc_seg: 76.0699, aux.loss_ce: 0.0728, aux.acc_seg: 74.8024, loss: 0.2056 +2022-03-15 05:41:04,670 - mmseg - INFO - Iter [123750/160000] lr: 3.253e-07, eta: 8:49:46, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 76.3981, aux.loss_ce: 0.0744, aux.acc_seg: 74.9275, loss: 0.2076 +2022-03-15 05:41:50,467 - mmseg - INFO - Iter [123800/160000] lr: 3.249e-07, eta: 8:49:03, time: 0.916, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1296, decode.acc_seg: 76.6403, aux.loss_ce: 0.0715, aux.acc_seg: 75.3384, loss: 0.2011 +2022-03-15 05:42:33,977 - mmseg - INFO - Iter [123850/160000] lr: 3.244e-07, eta: 8:48:19, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 75.0237, aux.loss_ce: 0.0742, aux.acc_seg: 73.6765, loss: 0.2073 +2022-03-15 05:43:17,322 - mmseg - INFO - Iter [123900/160000] lr: 3.240e-07, eta: 8:47:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1301, decode.acc_seg: 76.1289, aux.loss_ce: 0.0705, aux.acc_seg: 74.9728, loss: 0.2006 +2022-03-15 05:44:00,669 - mmseg - INFO - Iter [123950/160000] lr: 3.235e-07, eta: 8:46:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1250, decode.acc_seg: 76.5869, aux.loss_ce: 0.0711, aux.acc_seg: 75.1997, loss: 0.1961 +2022-03-15 05:44:44,086 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 05:44:44,091 - mmseg - INFO - Iter [124000/160000] lr: 3.231e-07, eta: 8:46:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1289, decode.acc_seg: 76.2033, aux.loss_ce: 0.0717, aux.acc_seg: 74.9318, loss: 0.2006 +2022-03-15 05:45:27,683 - mmseg - INFO - Iter [124050/160000] lr: 3.226e-07, eta: 8:45:23, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1255, decode.acc_seg: 76.6603, aux.loss_ce: 0.0693, aux.acc_seg: 75.3580, loss: 0.1948 +2022-03-15 05:46:11,156 - mmseg - INFO - Iter [124100/160000] lr: 3.222e-07, eta: 8:44:39, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 76.4868, aux.loss_ce: 0.0708, aux.acc_seg: 75.1359, loss: 0.1965 +2022-03-15 05:46:54,538 - mmseg - INFO - Iter [124150/160000] lr: 3.217e-07, eta: 8:43:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 75.8721, aux.loss_ce: 0.0699, aux.acc_seg: 74.6818, loss: 0.1968 +2022-03-15 05:47:37,791 - mmseg - INFO - Iter [124200/160000] lr: 3.213e-07, eta: 8:43:11, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1299, decode.acc_seg: 77.1592, aux.loss_ce: 0.0710, aux.acc_seg: 75.9428, loss: 0.2008 +2022-03-15 05:48:21,205 - mmseg - INFO - Iter [124250/160000] lr: 3.208e-07, eta: 8:42:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1286, decode.acc_seg: 75.8403, aux.loss_ce: 0.0702, aux.acc_seg: 74.6612, loss: 0.1988 +2022-03-15 05:49:04,592 - mmseg - INFO - Iter [124300/160000] lr: 3.204e-07, eta: 8:41:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1288, decode.acc_seg: 76.4238, aux.loss_ce: 0.0709, aux.acc_seg: 75.1679, loss: 0.1996 +2022-03-15 05:49:48,079 - mmseg - INFO - Iter [124350/160000] lr: 3.199e-07, eta: 8:40:59, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1224, decode.acc_seg: 76.5719, aux.loss_ce: 0.0683, aux.acc_seg: 75.2742, loss: 0.1907 +2022-03-15 05:50:31,609 - mmseg - INFO - Iter [124400/160000] lr: 3.195e-07, eta: 8:40:15, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 76.0546, aux.loss_ce: 0.0722, aux.acc_seg: 74.7262, loss: 0.2017 +2022-03-15 05:51:14,921 - mmseg - INFO - Iter [124450/160000] lr: 3.190e-07, eta: 8:39:31, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1334, decode.acc_seg: 76.0787, aux.loss_ce: 0.0733, aux.acc_seg: 74.7534, loss: 0.2066 +2022-03-15 05:51:58,378 - mmseg - INFO - Iter [124500/160000] lr: 3.186e-07, eta: 8:38:47, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1317, decode.acc_seg: 76.3836, aux.loss_ce: 0.0704, aux.acc_seg: 75.2882, loss: 0.2021 +2022-03-15 05:52:41,757 - mmseg - INFO - Iter [124550/160000] lr: 3.181e-07, eta: 8:38:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 76.9922, aux.loss_ce: 0.0682, aux.acc_seg: 75.7821, loss: 0.1934 +2022-03-15 05:53:25,145 - mmseg - INFO - Iter [124600/160000] lr: 3.177e-07, eta: 8:37:19, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1310, decode.acc_seg: 73.9809, aux.loss_ce: 0.0725, aux.acc_seg: 72.6322, loss: 0.2035 +2022-03-15 05:54:08,543 - mmseg - INFO - Iter [124650/160000] lr: 3.172e-07, eta: 8:36:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1277, decode.acc_seg: 76.0081, aux.loss_ce: 0.0704, aux.acc_seg: 74.8207, loss: 0.1981 +2022-03-15 05:54:52,092 - mmseg - INFO - Iter [124700/160000] lr: 3.168e-07, eta: 8:35:51, time: 0.871, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1296, decode.acc_seg: 76.0447, aux.loss_ce: 0.0726, aux.acc_seg: 74.6728, loss: 0.2021 +2022-03-15 05:55:35,315 - mmseg - INFO - Iter [124750/160000] lr: 3.163e-07, eta: 8:35:07, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1344, decode.acc_seg: 75.5252, aux.loss_ce: 0.0730, aux.acc_seg: 74.2221, loss: 0.2074 +2022-03-15 05:56:18,636 - mmseg - INFO - Iter [124800/160000] lr: 3.159e-07, eta: 8:34:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 76.1336, aux.loss_ce: 0.0735, aux.acc_seg: 74.8121, loss: 0.2068 +2022-03-15 05:57:02,023 - mmseg - INFO - Iter [124850/160000] lr: 3.154e-07, eta: 8:33:39, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1355, decode.acc_seg: 76.6553, aux.loss_ce: 0.0749, aux.acc_seg: 75.3142, loss: 0.2103 +2022-03-15 05:57:45,317 - mmseg - INFO - Iter [124900/160000] lr: 3.150e-07, eta: 8:32:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1274, decode.acc_seg: 76.8421, aux.loss_ce: 0.0698, aux.acc_seg: 75.6167, loss: 0.1972 +2022-03-15 05:58:28,905 - mmseg - INFO - Iter [124950/160000] lr: 3.145e-07, eta: 8:32:11, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 75.3914, aux.loss_ce: 0.0681, aux.acc_seg: 74.2292, loss: 0.1928 +2022-03-15 05:59:12,310 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 05:59:12,314 - mmseg - INFO - Iter [125000/160000] lr: 3.141e-07, eta: 8:31:27, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 76.7119, aux.loss_ce: 0.0722, aux.acc_seg: 75.4740, loss: 0.2037 +2022-03-15 05:59:58,072 - mmseg - INFO - Iter [125050/160000] lr: 3.136e-07, eta: 8:30:44, time: 0.915, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1374, decode.acc_seg: 76.9244, aux.loss_ce: 0.0756, aux.acc_seg: 75.6358, loss: 0.2130 +2022-03-15 06:00:41,645 - mmseg - INFO - Iter [125100/160000] lr: 3.132e-07, eta: 8:30:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1396, decode.acc_seg: 76.4895, aux.loss_ce: 0.0761, aux.acc_seg: 75.1174, loss: 0.2157 +2022-03-15 06:01:25,083 - mmseg - INFO - Iter [125150/160000] lr: 3.127e-07, eta: 8:29:16, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1321, decode.acc_seg: 76.5497, aux.loss_ce: 0.0738, aux.acc_seg: 75.1735, loss: 0.2059 +2022-03-15 06:02:08,612 - mmseg - INFO - Iter [125200/160000] lr: 3.123e-07, eta: 8:28:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 76.4526, aux.loss_ce: 0.0688, aux.acc_seg: 75.2071, loss: 0.1937 +2022-03-15 06:02:52,055 - mmseg - INFO - Iter [125250/160000] lr: 3.118e-07, eta: 8:27:48, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1161, decode.acc_seg: 75.8707, aux.loss_ce: 0.0657, aux.acc_seg: 74.5629, loss: 0.1818 +2022-03-15 06:03:35,498 - mmseg - INFO - Iter [125300/160000] lr: 3.114e-07, eta: 8:27:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1273, decode.acc_seg: 77.1830, aux.loss_ce: 0.0707, aux.acc_seg: 76.0641, loss: 0.1979 +2022-03-15 06:04:18,851 - mmseg - INFO - Iter [125350/160000] lr: 3.109e-07, eta: 8:26:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 75.1153, aux.loss_ce: 0.0701, aux.acc_seg: 73.8444, loss: 0.1965 +2022-03-15 06:05:02,821 - mmseg - INFO - Iter [125400/160000] lr: 3.105e-07, eta: 8:25:37, time: 0.879, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 78.8665, aux.loss_ce: 0.0684, aux.acc_seg: 77.6114, loss: 0.1925 +2022-03-15 06:05:46,189 - mmseg - INFO - Iter [125450/160000] lr: 3.101e-07, eta: 8:24:53, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 77.5560, aux.loss_ce: 0.0674, aux.acc_seg: 76.3408, loss: 0.1892 +2022-03-15 06:06:29,729 - mmseg - INFO - Iter [125500/160000] lr: 3.096e-07, eta: 8:24:09, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 75.6161, aux.loss_ce: 0.0738, aux.acc_seg: 74.2935, loss: 0.2087 +2022-03-15 06:07:13,358 - mmseg - INFO - Iter [125550/160000] lr: 3.092e-07, eta: 8:23:25, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 76.8437, aux.loss_ce: 0.0693, aux.acc_seg: 75.5399, loss: 0.1940 +2022-03-15 06:07:56,775 - mmseg - INFO - Iter [125600/160000] lr: 3.087e-07, eta: 8:22:41, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1330, decode.acc_seg: 76.6229, aux.loss_ce: 0.0724, aux.acc_seg: 75.4061, loss: 0.2054 +2022-03-15 06:08:40,357 - mmseg - INFO - Iter [125650/160000] lr: 3.083e-07, eta: 8:21:57, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 74.6243, aux.loss_ce: 0.0705, aux.acc_seg: 73.3621, loss: 0.1957 +2022-03-15 06:09:23,776 - mmseg - INFO - Iter [125700/160000] lr: 3.078e-07, eta: 8:21:13, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1302, decode.acc_seg: 76.2919, aux.loss_ce: 0.0727, aux.acc_seg: 75.0128, loss: 0.2029 +2022-03-15 06:10:07,103 - mmseg - INFO - Iter [125750/160000] lr: 3.074e-07, eta: 8:20:29, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1223, decode.acc_seg: 75.7940, aux.loss_ce: 0.0692, aux.acc_seg: 74.4383, loss: 0.1915 +2022-03-15 06:10:50,513 - mmseg - INFO - Iter [125800/160000] lr: 3.069e-07, eta: 8:19:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 76.5234, aux.loss_ce: 0.0702, aux.acc_seg: 75.2085, loss: 0.1965 +2022-03-15 06:11:33,910 - mmseg - INFO - Iter [125850/160000] lr: 3.065e-07, eta: 8:19:01, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1420, decode.acc_seg: 75.8624, aux.loss_ce: 0.0786, aux.acc_seg: 74.4347, loss: 0.2207 +2022-03-15 06:12:17,121 - mmseg - INFO - Iter [125900/160000] lr: 3.060e-07, eta: 8:18:17, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1386, decode.acc_seg: 75.9842, aux.loss_ce: 0.0748, aux.acc_seg: 74.7056, loss: 0.2134 +2022-03-15 06:13:00,365 - mmseg - INFO - Iter [125950/160000] lr: 3.056e-07, eta: 8:17:33, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1301, decode.acc_seg: 76.4516, aux.loss_ce: 0.0710, aux.acc_seg: 75.2346, loss: 0.2012 +2022-03-15 06:13:43,687 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 06:13:43,691 - mmseg - INFO - Iter [126000/160000] lr: 3.051e-07, eta: 8:16:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1400, decode.acc_seg: 76.2410, aux.loss_ce: 0.0755, aux.acc_seg: 74.9799, loss: 0.2155 +2022-03-15 06:14:27,168 - mmseg - INFO - Iter [126050/160000] lr: 3.047e-07, eta: 8:16:05, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1266, decode.acc_seg: 76.7025, aux.loss_ce: 0.0685, aux.acc_seg: 75.5302, loss: 0.1951 +2022-03-15 06:15:10,830 - mmseg - INFO - Iter [126100/160000] lr: 3.042e-07, eta: 8:15:21, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 76.8109, aux.loss_ce: 0.0692, aux.acc_seg: 75.5293, loss: 0.1940 +2022-03-15 06:15:54,361 - mmseg - INFO - Iter [126150/160000] lr: 3.038e-07, eta: 8:14:37, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 75.7383, aux.loss_ce: 0.0729, aux.acc_seg: 74.5036, loss: 0.2054 +2022-03-15 06:16:37,705 - mmseg - INFO - Iter [126200/160000] lr: 3.033e-07, eta: 8:13:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1262, decode.acc_seg: 75.8351, aux.loss_ce: 0.0697, aux.acc_seg: 74.6124, loss: 0.1959 +2022-03-15 06:17:21,226 - mmseg - INFO - Iter [126250/160000] lr: 3.029e-07, eta: 8:13:10, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1336, decode.acc_seg: 74.8954, aux.loss_ce: 0.0731, aux.acc_seg: 73.6061, loss: 0.2067 +2022-03-15 06:18:04,804 - mmseg - INFO - Iter [126300/160000] lr: 3.024e-07, eta: 8:12:26, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1349, decode.acc_seg: 75.6568, aux.loss_ce: 0.0765, aux.acc_seg: 74.1370, loss: 0.2114 +2022-03-15 06:18:50,955 - mmseg - INFO - Iter [126350/160000] lr: 3.020e-07, eta: 8:11:42, time: 0.923, data_time: 0.050, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 76.3352, aux.loss_ce: 0.0714, aux.acc_seg: 75.0727, loss: 0.2018 +2022-03-15 06:19:34,340 - mmseg - INFO - Iter [126400/160000] lr: 3.015e-07, eta: 8:10:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1238, decode.acc_seg: 76.1037, aux.loss_ce: 0.0674, aux.acc_seg: 74.8907, loss: 0.1911 +2022-03-15 06:20:17,826 - mmseg - INFO - Iter [126450/160000] lr: 3.011e-07, eta: 8:10:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1313, decode.acc_seg: 76.2648, aux.loss_ce: 0.0724, aux.acc_seg: 74.9997, loss: 0.2037 +2022-03-15 06:21:01,540 - mmseg - INFO - Iter [126500/160000] lr: 3.006e-07, eta: 8:09:31, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 77.0816, aux.loss_ce: 0.0734, aux.acc_seg: 75.7372, loss: 0.2057 +2022-03-15 06:21:44,947 - mmseg - INFO - Iter [126550/160000] lr: 3.002e-07, eta: 8:08:47, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 76.1072, aux.loss_ce: 0.0703, aux.acc_seg: 74.9140, loss: 0.2007 +2022-03-15 06:22:28,275 - mmseg - INFO - Iter [126600/160000] lr: 2.997e-07, eta: 8:08:03, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 77.2101, aux.loss_ce: 0.0707, aux.acc_seg: 75.9099, loss: 0.1978 +2022-03-15 06:23:11,624 - mmseg - INFO - Iter [126650/160000] lr: 2.993e-07, eta: 8:07:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1357, decode.acc_seg: 76.4988, aux.loss_ce: 0.0751, aux.acc_seg: 75.1404, loss: 0.2107 +2022-03-15 06:23:54,921 - mmseg - INFO - Iter [126700/160000] lr: 2.988e-07, eta: 8:06:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1282, decode.acc_seg: 75.8431, aux.loss_ce: 0.0723, aux.acc_seg: 74.5340, loss: 0.2005 +2022-03-15 06:24:38,253 - mmseg - INFO - Iter [126750/160000] lr: 2.984e-07, eta: 8:05:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 76.4976, aux.loss_ce: 0.0728, aux.acc_seg: 75.0608, loss: 0.2027 +2022-03-15 06:25:21,606 - mmseg - INFO - Iter [126800/160000] lr: 2.979e-07, eta: 8:05:07, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 75.1804, aux.loss_ce: 0.0695, aux.acc_seg: 73.8629, loss: 0.1931 +2022-03-15 06:26:05,029 - mmseg - INFO - Iter [126850/160000] lr: 2.975e-07, eta: 8:04:23, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1309, decode.acc_seg: 76.2948, aux.loss_ce: 0.0730, aux.acc_seg: 74.9098, loss: 0.2039 +2022-03-15 06:26:48,534 - mmseg - INFO - Iter [126900/160000] lr: 2.970e-07, eta: 8:03:39, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 77.0348, aux.loss_ce: 0.0679, aux.acc_seg: 75.9484, loss: 0.1928 +2022-03-15 06:27:32,163 - mmseg - INFO - Iter [126950/160000] lr: 2.966e-07, eta: 8:02:55, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1289, decode.acc_seg: 75.4287, aux.loss_ce: 0.0714, aux.acc_seg: 74.0771, loss: 0.2003 +2022-03-15 06:28:15,579 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 06:28:15,585 - mmseg - INFO - Iter [127000/160000] lr: 2.961e-07, eta: 8:02:11, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1342, decode.acc_seg: 76.4612, aux.loss_ce: 0.0749, aux.acc_seg: 75.0521, loss: 0.2091 +2022-03-15 06:28:58,858 - mmseg - INFO - Iter [127050/160000] lr: 2.957e-07, eta: 8:01:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1416, decode.acc_seg: 77.5594, aux.loss_ce: 0.0770, aux.acc_seg: 76.2535, loss: 0.2186 +2022-03-15 06:29:42,266 - mmseg - INFO - Iter [127100/160000] lr: 2.952e-07, eta: 8:00:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1276, decode.acc_seg: 76.3646, aux.loss_ce: 0.0717, aux.acc_seg: 75.0175, loss: 0.1994 +2022-03-15 06:30:25,877 - mmseg - INFO - Iter [127150/160000] lr: 2.948e-07, eta: 7:59:59, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1252, decode.acc_seg: 75.6268, aux.loss_ce: 0.0698, aux.acc_seg: 74.4286, loss: 0.1951 +2022-03-15 06:31:09,207 - mmseg - INFO - Iter [127200/160000] lr: 2.943e-07, eta: 7:59:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 75.8874, aux.loss_ce: 0.0716, aux.acc_seg: 74.4491, loss: 0.1977 +2022-03-15 06:31:52,690 - mmseg - INFO - Iter [127250/160000] lr: 2.939e-07, eta: 7:58:31, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 76.3937, aux.loss_ce: 0.0715, aux.acc_seg: 75.0614, loss: 0.1996 +2022-03-15 06:32:36,216 - mmseg - INFO - Iter [127300/160000] lr: 2.934e-07, eta: 7:57:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1341, decode.acc_seg: 75.8861, aux.loss_ce: 0.0730, aux.acc_seg: 74.5884, loss: 0.2071 +2022-03-15 06:33:19,678 - mmseg - INFO - Iter [127350/160000] lr: 2.930e-07, eta: 7:57:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1318, decode.acc_seg: 76.0007, aux.loss_ce: 0.0732, aux.acc_seg: 74.6919, loss: 0.2050 +2022-03-15 06:34:02,921 - mmseg - INFO - Iter [127400/160000] lr: 2.926e-07, eta: 7:56:20, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1177, decode.acc_seg: 74.8512, aux.loss_ce: 0.0654, aux.acc_seg: 73.6485, loss: 0.1831 +2022-03-15 06:34:46,359 - mmseg - INFO - Iter [127450/160000] lr: 2.921e-07, eta: 7:55:36, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 76.1826, aux.loss_ce: 0.0722, aux.acc_seg: 74.8590, loss: 0.2019 +2022-03-15 06:35:29,514 - mmseg - INFO - Iter [127500/160000] lr: 2.917e-07, eta: 7:54:52, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1326, decode.acc_seg: 76.7987, aux.loss_ce: 0.0724, aux.acc_seg: 75.5148, loss: 0.2050 +2022-03-15 06:36:12,890 - mmseg - INFO - Iter [127550/160000] lr: 2.912e-07, eta: 7:54:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1289, decode.acc_seg: 77.5268, aux.loss_ce: 0.0703, aux.acc_seg: 76.2912, loss: 0.1992 +2022-03-15 06:36:58,696 - mmseg - INFO - Iter [127600/160000] lr: 2.908e-07, eta: 7:53:24, time: 0.917, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1226, decode.acc_seg: 76.7646, aux.loss_ce: 0.0692, aux.acc_seg: 75.5204, loss: 0.1918 +2022-03-15 06:37:42,043 - mmseg - INFO - Iter [127650/160000] lr: 2.903e-07, eta: 7:52:40, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1319, decode.acc_seg: 77.4142, aux.loss_ce: 0.0735, aux.acc_seg: 75.9999, loss: 0.2054 +2022-03-15 06:38:25,838 - mmseg - INFO - Iter [127700/160000] lr: 2.899e-07, eta: 7:51:57, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 77.1236, aux.loss_ce: 0.0730, aux.acc_seg: 75.8618, loss: 0.2081 +2022-03-15 06:39:09,209 - mmseg - INFO - Iter [127750/160000] lr: 2.894e-07, eta: 7:51:13, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 77.2745, aux.loss_ce: 0.0699, aux.acc_seg: 76.0620, loss: 0.1967 +2022-03-15 06:39:52,633 - mmseg - INFO - Iter [127800/160000] lr: 2.890e-07, eta: 7:50:29, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1246, decode.acc_seg: 76.9462, aux.loss_ce: 0.0695, aux.acc_seg: 75.6963, loss: 0.1941 +2022-03-15 06:40:36,076 - mmseg - INFO - Iter [127850/160000] lr: 2.885e-07, eta: 7:49:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1314, decode.acc_seg: 75.3527, aux.loss_ce: 0.0730, aux.acc_seg: 73.9805, loss: 0.2044 +2022-03-15 06:41:19,271 - mmseg - INFO - Iter [127900/160000] lr: 2.881e-07, eta: 7:49:01, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1324, decode.acc_seg: 75.6475, aux.loss_ce: 0.0735, aux.acc_seg: 74.3102, loss: 0.2059 +2022-03-15 06:42:02,461 - mmseg - INFO - Iter [127950/160000] lr: 2.876e-07, eta: 7:48:17, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1355, decode.acc_seg: 76.9398, aux.loss_ce: 0.0747, aux.acc_seg: 75.5690, loss: 0.2102 +2022-03-15 06:42:45,880 - mmseg - INFO - Saving checkpoint at 128000 iterations +2022-03-15 06:42:56,098 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 06:42:56,098 - mmseg - INFO - Iter [128000/160000] lr: 2.872e-07, eta: 7:47:35, time: 1.073, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1222, decode.acc_seg: 75.9571, aux.loss_ce: 0.0682, aux.acc_seg: 74.7015, loss: 0.1904 +2022-03-15 06:44:18,839 - mmseg - INFO - per class results: +2022-03-15 06:44:18,853 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.92 | 89.84 | +| building | 84.73 | 93.41 | +| sky | 94.83 | 97.59 | +| floor | 84.48 | 91.71 | +| tree | 76.62 | 88.56 | +| ceiling | 86.66 | 93.73 | +| road | 85.92 | 91.17 | +| bed | 92.54 | 97.56 | +| windowpane | 64.65 | 80.43 | +| grass | 69.63 | 85.67 | +| cabinet | 65.5 | 77.88 | +| sidewalk | 71.16 | 85.39 | +| person | 84.85 | 95.01 | +| earth | 39.24 | 51.36 | +| door | 56.28 | 69.12 | +| table | 69.37 | 81.61 | +| mountain | 63.0 | 75.42 | +| plant | 54.47 | 66.76 | +| curtain | 77.82 | 89.25 | +| chair | 64.96 | 75.11 | +| car | 87.84 | 93.77 | +| water | 66.34 | 81.32 | +| painting | 77.81 | 91.37 | +| sofa | 80.69 | 92.07 | +| shelf | 47.87 | 62.69 | +| house | 58.52 | 70.31 | +| sea | 66.89 | 77.54 | +| mirror | 76.9 | 82.91 | +| rug | 67.42 | 78.84 | +| field | 35.17 | 46.31 | +| armchair | 58.37 | 74.49 | +| seat | 64.31 | 87.75 | +| fence | 45.52 | 60.64 | +| desk | 59.16 | 78.59 | +| rock | 56.9 | 87.47 | +| wardrobe | 53.48 | 73.8 | +| lamp | 72.52 | 82.75 | +| bathtub | 86.06 | 90.57 | +| railing | 38.94 | 54.19 | +| cushion | 67.2 | 79.98 | +| base | 46.77 | 57.65 | +| box | 39.71 | 50.01 | +| column | 52.5 | 67.97 | +| signboard | 42.47 | 59.15 | +| chest of drawers | 42.27 | 57.41 | +| counter | 57.43 | 63.27 | +| sand | 54.34 | 83.41 | +| sink | 81.33 | 87.37 | +| skyscraper | 46.76 | 60.2 | +| fireplace | 79.04 | 91.97 | +| refrigerator | 79.65 | 87.76 | +| grandstand | 52.42 | 84.79 | +| path | 23.49 | 32.27 | +| stairs | 28.72 | 33.7 | +| runway | 72.54 | 96.74 | +| case | 61.62 | 81.94 | +| pool table | 94.74 | 98.32 | +| pillow | 64.98 | 73.88 | +| screen door | 81.41 | 86.48 | +| stairway | 37.55 | 52.11 | +| river | 10.87 | 23.72 | +| bridge | 78.33 | 87.71 | +| bookcase | 48.67 | 68.64 | +| blind | 43.06 | 48.98 | +| coffee table | 66.98 | 86.31 | +| toilet | 90.22 | 94.3 | +| flower | 50.5 | 66.15 | +| book | 53.34 | 74.52 | +| hill | 8.75 | 12.48 | +| bench | 52.62 | 61.62 | +| countertop | 61.96 | 83.05 | +| stove | 81.88 | 88.55 | +| palm | 54.23 | 84.49 | +| kitchen island | 48.76 | 76.36 | +| computer | 80.12 | 90.72 | +| swivel chair | 46.0 | 71.44 | +| boat | 72.6 | 92.74 | +| bar | 68.16 | 84.19 | +| arcade machine | 88.95 | 93.8 | +| hovel | 55.34 | 58.25 | +| bus | 91.16 | 97.71 | +| towel | 73.48 | 82.9 | +| light | 60.49 | 71.76 | +| truck | 49.5 | 65.17 | +| tower | 39.93 | 68.91 | +| chandelier | 73.47 | 86.49 | +| awning | 39.77 | 50.2 | +| streetlight | 38.28 | 51.32 | +| booth | 62.77 | 69.79 | +| television receiver | 78.15 | 86.13 | +| airplane | 70.94 | 78.59 | +| dirt track | 0.55 | 2.95 | +| apparel | 50.91 | 63.89 | +| pole | 33.33 | 46.12 | +| land | 0.4 | 0.55 | +| bannister | 19.08 | 27.72 | +| escalator | 55.16 | 79.69 | +| ottoman | 49.84 | 68.05 | +| bottle | 43.27 | 71.3 | +| buffet | 59.61 | 69.98 | +| poster | 37.95 | 55.21 | +| stage | 20.34 | 35.13 | +| van | 48.09 | 68.51 | +| ship | 77.5 | 94.84 | +| fountain | 43.55 | 44.56 | +| conveyer belt | 77.98 | 95.9 | +| canopy | 46.22 | 66.54 | +| washer | 86.89 | 92.2 | +| plaything | 36.8 | 56.4 | +| swimming pool | 78.7 | 89.52 | +| stool | 54.48 | 69.17 | +| barrel | 77.35 | 92.7 | +| basket | 46.57 | 60.7 | +| waterfall | 52.11 | 59.38 | +| tent | 89.83 | 98.92 | +| bag | 22.16 | 26.21 | +| minibike | 74.53 | 90.85 | +| cradle | 86.69 | 97.34 | +| oven | 55.35 | 79.08 | +| ball | 60.75 | 71.02 | +| food | 58.08 | 72.67 | +| step | 15.48 | 18.19 | +| tank | 62.07 | 67.19 | +| trade name | 26.04 | 30.65 | +| microwave | 83.5 | 91.78 | +| pot | 56.15 | 66.05 | +| animal | 64.53 | 65.92 | +| bicycle | 62.76 | 80.03 | +| lake | 55.76 | 63.75 | +| dishwasher | 73.73 | 81.34 | +| screen | 60.2 | 78.16 | +| blanket | 21.77 | 25.52 | +| sculpture | 79.51 | 89.06 | +| hood | 61.3 | 75.83 | +| sconce | 59.84 | 72.87 | +| vase | 48.59 | 66.89 | +| traffic light | 44.87 | 63.99 | +| tray | 25.05 | 31.7 | +| ashcan | 48.89 | 67.59 | +| fan | 72.01 | 83.84 | +| pier | 64.26 | 75.21 | +| crt screen | 9.37 | 23.26 | +| plate | 62.46 | 80.26 | +| monitor | 25.2 | 29.56 | +| bulletin board | 46.93 | 58.8 | +| shower | 14.24 | 19.61 | +| radiator | 65.83 | 78.03 | +| glass | 23.18 | 25.07 | +| clock | 50.18 | 68.01 | +| flag | 45.5 | 51.28 | ++---------------------+-------+-------+ +2022-03-15 06:44:18,854 - mmseg - INFO - Summary: +2022-03-15 06:44:18,854 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 86.04 | 57.93 | 70.43 | ++-------+-------+-------+ +2022-03-15 06:44:18,860 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 06:44:18,861 - mmseg - INFO - Iter(val) [250] aAcc: 0.8604, mIoU: 0.5793, mAcc: 0.7043, IoU.wall: 0.8192, IoU.building: 0.8473, IoU.sky: 0.9483, IoU.floor: 0.8448, IoU.tree: 0.7662, IoU.ceiling: 0.8666, IoU.road: 0.8592, IoU.bed : 0.9254, IoU.windowpane: 0.6465, IoU.grass: 0.6963, IoU.cabinet: 0.6550, IoU.sidewalk: 0.7116, IoU.person: 0.8485, IoU.earth: 0.3924, IoU.door: 0.5628, IoU.table: 0.6937, IoU.mountain: 0.6300, IoU.plant: 0.5447, IoU.curtain: 0.7782, IoU.chair: 0.6496, IoU.car: 0.8784, IoU.water: 0.6634, IoU.painting: 0.7781, IoU.sofa: 0.8069, IoU.shelf: 0.4787, IoU.house: 0.5852, IoU.sea: 0.6689, IoU.mirror: 0.7690, IoU.rug: 0.6742, IoU.field: 0.3517, IoU.armchair: 0.5837, IoU.seat: 0.6431, IoU.fence: 0.4552, IoU.desk: 0.5916, IoU.rock: 0.5690, IoU.wardrobe: 0.5348, IoU.lamp: 0.7252, IoU.bathtub: 0.8606, IoU.railing: 0.3894, IoU.cushion: 0.6720, IoU.base: 0.4677, IoU.box: 0.3971, IoU.column: 0.5250, IoU.signboard: 0.4247, IoU.chest of drawers: 0.4227, IoU.counter: 0.5743, IoU.sand: 0.5434, IoU.sink: 0.8133, IoU.skyscraper: 0.4676, IoU.fireplace: 0.7904, IoU.refrigerator: 0.7965, IoU.grandstand: 0.5242, IoU.path: 0.2349, IoU.stairs: 0.2872, IoU.runway: 0.7254, IoU.case: 0.6162, IoU.pool table: 0.9474, IoU.pillow: 0.6498, IoU.screen door: 0.8141, IoU.stairway: 0.3755, IoU.river: 0.1087, IoU.bridge: 0.7833, IoU.bookcase: 0.4867, IoU.blind: 0.4306, IoU.coffee table: 0.6698, IoU.toilet: 0.9022, IoU.flower: 0.5050, IoU.book: 0.5334, IoU.hill: 0.0875, IoU.bench: 0.5262, IoU.countertop: 0.6196, IoU.stove: 0.8188, IoU.palm: 0.5423, IoU.kitchen island: 0.4876, IoU.computer: 0.8012, IoU.swivel chair: 0.4600, IoU.boat: 0.7260, IoU.bar: 0.6816, IoU.arcade machine: 0.8895, IoU.hovel: 0.5534, IoU.bus: 0.9116, IoU.towel: 0.7348, IoU.light: 0.6049, IoU.truck: 0.4950, IoU.tower: 0.3993, IoU.chandelier: 0.7347, IoU.awning: 0.3977, IoU.streetlight: 0.3828, IoU.booth: 0.6277, IoU.television receiver: 0.7815, IoU.airplane: 0.7094, IoU.dirt track: 0.0055, IoU.apparel: 0.5091, IoU.pole: 0.3333, IoU.land: 0.0040, IoU.bannister: 0.1908, IoU.escalator: 0.5516, IoU.ottoman: 0.4984, IoU.bottle: 0.4327, IoU.buffet: 0.5961, IoU.poster: 0.3795, IoU.stage: 0.2034, IoU.van: 0.4809, IoU.ship: 0.7750, IoU.fountain: 0.4355, IoU.conveyer belt: 0.7798, IoU.canopy: 0.4622, IoU.washer: 0.8689, IoU.plaything: 0.3680, IoU.swimming pool: 0.7870, IoU.stool: 0.5448, IoU.barrel: 0.7735, IoU.basket: 0.4657, IoU.waterfall: 0.5211, IoU.tent: 0.8983, IoU.bag: 0.2216, IoU.minibike: 0.7453, IoU.cradle: 0.8669, IoU.oven: 0.5535, IoU.ball: 0.6075, IoU.food: 0.5808, IoU.step: 0.1548, IoU.tank: 0.6207, IoU.trade name: 0.2604, IoU.microwave: 0.8350, IoU.pot: 0.5615, IoU.animal: 0.6453, IoU.bicycle: 0.6276, IoU.lake: 0.5576, IoU.dishwasher: 0.7373, IoU.screen: 0.6020, IoU.blanket: 0.2177, IoU.sculpture: 0.7951, IoU.hood: 0.6130, IoU.sconce: 0.5984, IoU.vase: 0.4859, IoU.traffic light: 0.4487, IoU.tray: 0.2505, IoU.ashcan: 0.4889, IoU.fan: 0.7201, IoU.pier: 0.6426, IoU.crt screen: 0.0937, IoU.plate: 0.6246, IoU.monitor: 0.2520, IoU.bulletin board: 0.4693, IoU.shower: 0.1424, IoU.radiator: 0.6583, IoU.glass: 0.2318, IoU.clock: 0.5018, IoU.flag: 0.4550, Acc.wall: 0.8984, Acc.building: 0.9341, Acc.sky: 0.9759, Acc.floor: 0.9171, Acc.tree: 0.8856, Acc.ceiling: 0.9373, Acc.road: 0.9117, Acc.bed : 0.9756, Acc.windowpane: 0.8043, Acc.grass: 0.8567, Acc.cabinet: 0.7788, Acc.sidewalk: 0.8539, Acc.person: 0.9501, Acc.earth: 0.5136, Acc.door: 0.6912, Acc.table: 0.8161, Acc.mountain: 0.7542, Acc.plant: 0.6676, Acc.curtain: 0.8925, Acc.chair: 0.7511, Acc.car: 0.9377, Acc.water: 0.8132, Acc.painting: 0.9137, Acc.sofa: 0.9207, Acc.shelf: 0.6269, Acc.house: 0.7031, Acc.sea: 0.7754, Acc.mirror: 0.8291, Acc.rug: 0.7884, Acc.field: 0.4631, Acc.armchair: 0.7449, Acc.seat: 0.8775, Acc.fence: 0.6064, Acc.desk: 0.7859, Acc.rock: 0.8747, Acc.wardrobe: 0.7380, Acc.lamp: 0.8275, Acc.bathtub: 0.9057, Acc.railing: 0.5419, Acc.cushion: 0.7998, Acc.base: 0.5765, Acc.box: 0.5001, Acc.column: 0.6797, Acc.signboard: 0.5915, Acc.chest of drawers: 0.5741, Acc.counter: 0.6327, Acc.sand: 0.8341, Acc.sink: 0.8737, Acc.skyscraper: 0.6020, Acc.fireplace: 0.9197, Acc.refrigerator: 0.8776, Acc.grandstand: 0.8479, Acc.path: 0.3227, Acc.stairs: 0.3370, Acc.runway: 0.9674, Acc.case: 0.8194, Acc.pool table: 0.9832, Acc.pillow: 0.7388, Acc.screen door: 0.8648, Acc.stairway: 0.5211, Acc.river: 0.2372, Acc.bridge: 0.8771, Acc.bookcase: 0.6864, Acc.blind: 0.4898, Acc.coffee table: 0.8631, Acc.toilet: 0.9430, Acc.flower: 0.6615, Acc.book: 0.7452, Acc.hill: 0.1248, Acc.bench: 0.6162, Acc.countertop: 0.8305, Acc.stove: 0.8855, Acc.palm: 0.8449, Acc.kitchen island: 0.7636, Acc.computer: 0.9072, Acc.swivel chair: 0.7144, Acc.boat: 0.9274, Acc.bar: 0.8419, Acc.arcade machine: 0.9380, Acc.hovel: 0.5825, Acc.bus: 0.9771, Acc.towel: 0.8290, Acc.light: 0.7176, Acc.truck: 0.6517, Acc.tower: 0.6891, Acc.chandelier: 0.8649, Acc.awning: 0.5020, Acc.streetlight: 0.5132, Acc.booth: 0.6979, Acc.television receiver: 0.8613, Acc.airplane: 0.7859, Acc.dirt track: 0.0295, Acc.apparel: 0.6389, Acc.pole: 0.4612, Acc.land: 0.0055, Acc.bannister: 0.2772, Acc.escalator: 0.7969, Acc.ottoman: 0.6805, Acc.bottle: 0.7130, Acc.buffet: 0.6998, Acc.poster: 0.5521, Acc.stage: 0.3513, Acc.van: 0.6851, Acc.ship: 0.9484, Acc.fountain: 0.4456, Acc.conveyer belt: 0.9590, Acc.canopy: 0.6654, Acc.washer: 0.9220, Acc.plaything: 0.5640, Acc.swimming pool: 0.8952, Acc.stool: 0.6917, Acc.barrel: 0.9270, Acc.basket: 0.6070, Acc.waterfall: 0.5938, Acc.tent: 0.9892, Acc.bag: 0.2621, Acc.minibike: 0.9085, Acc.cradle: 0.9734, Acc.oven: 0.7908, Acc.ball: 0.7102, Acc.food: 0.7267, Acc.step: 0.1819, Acc.tank: 0.6719, Acc.trade name: 0.3065, Acc.microwave: 0.9178, Acc.pot: 0.6605, Acc.animal: 0.6592, Acc.bicycle: 0.8003, Acc.lake: 0.6375, Acc.dishwasher: 0.8134, Acc.screen: 0.7816, Acc.blanket: 0.2552, Acc.sculpture: 0.8906, Acc.hood: 0.7583, Acc.sconce: 0.7287, Acc.vase: 0.6689, Acc.traffic light: 0.6399, Acc.tray: 0.3170, Acc.ashcan: 0.6759, Acc.fan: 0.8384, Acc.pier: 0.7521, Acc.crt screen: 0.2326, Acc.plate: 0.8026, Acc.monitor: 0.2956, Acc.bulletin board: 0.5880, Acc.shower: 0.1961, Acc.radiator: 0.7803, Acc.glass: 0.2507, Acc.clock: 0.6801, Acc.flag: 0.5128 +2022-03-15 06:45:02,146 - mmseg - INFO - Iter [128050/160000] lr: 2.867e-07, eta: 7:47:12, time: 2.521, data_time: 1.660, memory: 73034, decode.loss_ce: 0.1340, decode.acc_seg: 75.5776, aux.loss_ce: 0.0745, aux.acc_seg: 74.1477, loss: 0.2085 +2022-03-15 06:45:45,474 - mmseg - INFO - Iter [128100/160000] lr: 2.863e-07, eta: 7:46:28, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 75.8994, aux.loss_ce: 0.0695, aux.acc_seg: 74.5623, loss: 0.1936 +2022-03-15 06:46:28,846 - mmseg - INFO - Iter [128150/160000] lr: 2.858e-07, eta: 7:45:44, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1357, decode.acc_seg: 76.8014, aux.loss_ce: 0.0749, aux.acc_seg: 75.3641, loss: 0.2106 +2022-03-15 06:47:12,303 - mmseg - INFO - Iter [128200/160000] lr: 2.854e-07, eta: 7:45:00, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1372, decode.acc_seg: 76.8027, aux.loss_ce: 0.0746, aux.acc_seg: 75.6227, loss: 0.2118 +2022-03-15 06:47:55,557 - mmseg - INFO - Iter [128250/160000] lr: 2.849e-07, eta: 7:44:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 76.6681, aux.loss_ce: 0.0697, aux.acc_seg: 75.3632, loss: 0.1960 +2022-03-15 06:48:38,908 - mmseg - INFO - Iter [128300/160000] lr: 2.845e-07, eta: 7:43:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 74.9157, aux.loss_ce: 0.0679, aux.acc_seg: 73.7445, loss: 0.1911 +2022-03-15 06:49:22,233 - mmseg - INFO - Iter [128350/160000] lr: 2.840e-07, eta: 7:42:48, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 77.5463, aux.loss_ce: 0.0682, aux.acc_seg: 76.2782, loss: 0.1924 +2022-03-15 06:50:05,628 - mmseg - INFO - Iter [128400/160000] lr: 2.836e-07, eta: 7:42:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1276, decode.acc_seg: 76.5657, aux.loss_ce: 0.0704, aux.acc_seg: 75.2810, loss: 0.1979 +2022-03-15 06:50:48,957 - mmseg - INFO - Iter [128450/160000] lr: 2.831e-07, eta: 7:41:20, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1319, decode.acc_seg: 75.0150, aux.loss_ce: 0.0734, aux.acc_seg: 73.7867, loss: 0.2053 +2022-03-15 06:51:32,307 - mmseg - INFO - Iter [128500/160000] lr: 2.827e-07, eta: 7:40:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 76.4553, aux.loss_ce: 0.0715, aux.acc_seg: 75.1284, loss: 0.2000 +2022-03-15 06:52:15,871 - mmseg - INFO - Iter [128550/160000] lr: 2.822e-07, eta: 7:39:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1343, decode.acc_seg: 76.1431, aux.loss_ce: 0.0734, aux.acc_seg: 74.8980, loss: 0.2077 +2022-03-15 06:52:59,106 - mmseg - INFO - Iter [128600/160000] lr: 2.818e-07, eta: 7:39:08, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 75.6765, aux.loss_ce: 0.0718, aux.acc_seg: 74.3819, loss: 0.2039 +2022-03-15 06:53:42,344 - mmseg - INFO - Iter [128650/160000] lr: 2.813e-07, eta: 7:38:24, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1364, decode.acc_seg: 75.7250, aux.loss_ce: 0.0740, aux.acc_seg: 74.4883, loss: 0.2104 +2022-03-15 06:54:25,786 - mmseg - INFO - Iter [128700/160000] lr: 2.809e-07, eta: 7:37:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1328, decode.acc_seg: 75.5895, aux.loss_ce: 0.0730, aux.acc_seg: 74.3623, loss: 0.2058 +2022-03-15 06:55:09,151 - mmseg - INFO - Iter [128750/160000] lr: 2.804e-07, eta: 7:36:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1310, decode.acc_seg: 75.7084, aux.loss_ce: 0.0717, aux.acc_seg: 74.4241, loss: 0.2027 +2022-03-15 06:55:52,504 - mmseg - INFO - Iter [128800/160000] lr: 2.800e-07, eta: 7:36:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1309, decode.acc_seg: 75.2900, aux.loss_ce: 0.0718, aux.acc_seg: 74.0566, loss: 0.2028 +2022-03-15 06:56:38,480 - mmseg - INFO - Iter [128850/160000] lr: 2.795e-07, eta: 7:35:29, time: 0.920, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 76.6185, aux.loss_ce: 0.0715, aux.acc_seg: 75.3792, loss: 0.2026 +2022-03-15 06:57:21,736 - mmseg - INFO - Iter [128900/160000] lr: 2.791e-07, eta: 7:34:45, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1316, decode.acc_seg: 75.1268, aux.loss_ce: 0.0734, aux.acc_seg: 73.7986, loss: 0.2050 +2022-03-15 06:58:04,953 - mmseg - INFO - Iter [128950/160000] lr: 2.786e-07, eta: 7:34:01, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 77.4681, aux.loss_ce: 0.0738, aux.acc_seg: 76.1877, loss: 0.2063 +2022-03-15 06:58:48,208 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 06:58:48,211 - mmseg - INFO - Iter [129000/160000] lr: 2.782e-07, eta: 7:33:17, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1350, decode.acc_seg: 76.8633, aux.loss_ce: 0.0752, aux.acc_seg: 75.5077, loss: 0.2102 +2022-03-15 06:59:31,772 - mmseg - INFO - Iter [129050/160000] lr: 2.777e-07, eta: 7:32:33, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 76.0080, aux.loss_ce: 0.0706, aux.acc_seg: 74.6857, loss: 0.1974 +2022-03-15 07:00:15,212 - mmseg - INFO - Iter [129100/160000] lr: 2.773e-07, eta: 7:31:49, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 76.0559, aux.loss_ce: 0.0699, aux.acc_seg: 74.7980, loss: 0.1963 +2022-03-15 07:00:58,375 - mmseg - INFO - Iter [129150/160000] lr: 2.768e-07, eta: 7:31:05, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1225, decode.acc_seg: 77.6208, aux.loss_ce: 0.0678, aux.acc_seg: 76.3856, loss: 0.1903 +2022-03-15 07:01:41,697 - mmseg - INFO - Iter [129200/160000] lr: 2.764e-07, eta: 7:30:21, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1254, decode.acc_seg: 75.7119, aux.loss_ce: 0.0692, aux.acc_seg: 74.4393, loss: 0.1946 +2022-03-15 07:02:25,204 - mmseg - INFO - Iter [129250/160000] lr: 2.760e-07, eta: 7:29:37, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1332, decode.acc_seg: 76.0535, aux.loss_ce: 0.0737, aux.acc_seg: 74.7021, loss: 0.2069 +2022-03-15 07:03:08,631 - mmseg - INFO - Iter [129300/160000] lr: 2.755e-07, eta: 7:28:53, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 76.3415, aux.loss_ce: 0.0696, aux.acc_seg: 75.1082, loss: 0.1967 +2022-03-15 07:03:52,008 - mmseg - INFO - Iter [129350/160000] lr: 2.751e-07, eta: 7:28:09, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 75.5562, aux.loss_ce: 0.0707, aux.acc_seg: 74.2494, loss: 0.1971 +2022-03-15 07:04:35,591 - mmseg - INFO - Iter [129400/160000] lr: 2.746e-07, eta: 7:27:25, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1323, decode.acc_seg: 76.5098, aux.loss_ce: 0.0732, aux.acc_seg: 75.2194, loss: 0.2055 +2022-03-15 07:05:18,897 - mmseg - INFO - Iter [129450/160000] lr: 2.742e-07, eta: 7:26:41, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1321, decode.acc_seg: 78.2528, aux.loss_ce: 0.0719, aux.acc_seg: 76.9622, loss: 0.2039 +2022-03-15 07:06:02,321 - mmseg - INFO - Iter [129500/160000] lr: 2.737e-07, eta: 7:25:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1384, decode.acc_seg: 76.5039, aux.loss_ce: 0.0764, aux.acc_seg: 75.1408, loss: 0.2149 +2022-03-15 07:06:45,692 - mmseg - INFO - Iter [129550/160000] lr: 2.733e-07, eta: 7:25:13, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 75.3374, aux.loss_ce: 0.0730, aux.acc_seg: 73.8796, loss: 0.2024 +2022-03-15 07:07:28,996 - mmseg - INFO - Iter [129600/160000] lr: 2.728e-07, eta: 7:24:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1370, decode.acc_seg: 78.2032, aux.loss_ce: 0.0759, aux.acc_seg: 76.8514, loss: 0.2128 +2022-03-15 07:08:12,509 - mmseg - INFO - Iter [129650/160000] lr: 2.724e-07, eta: 7:23:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 75.8661, aux.loss_ce: 0.0716, aux.acc_seg: 74.5597, loss: 0.1997 +2022-03-15 07:08:55,819 - mmseg - INFO - Iter [129700/160000] lr: 2.719e-07, eta: 7:23:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1289, decode.acc_seg: 75.9033, aux.loss_ce: 0.0716, aux.acc_seg: 74.5267, loss: 0.2005 +2022-03-15 07:09:39,361 - mmseg - INFO - Iter [129750/160000] lr: 2.715e-07, eta: 7:22:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1309, decode.acc_seg: 75.0644, aux.loss_ce: 0.0731, aux.acc_seg: 73.6599, loss: 0.2039 +2022-03-15 07:10:22,874 - mmseg - INFO - Iter [129800/160000] lr: 2.710e-07, eta: 7:21:33, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1274, decode.acc_seg: 78.0196, aux.loss_ce: 0.0712, aux.acc_seg: 76.7405, loss: 0.1986 +2022-03-15 07:11:06,192 - mmseg - INFO - Iter [129850/160000] lr: 2.706e-07, eta: 7:20:49, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 77.4367, aux.loss_ce: 0.0744, aux.acc_seg: 76.1045, loss: 0.2077 +2022-03-15 07:11:49,445 - mmseg - INFO - Iter [129900/160000] lr: 2.701e-07, eta: 7:20:05, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1337, decode.acc_seg: 76.0309, aux.loss_ce: 0.0748, aux.acc_seg: 74.7096, loss: 0.2085 +2022-03-15 07:12:32,860 - mmseg - INFO - Iter [129950/160000] lr: 2.697e-07, eta: 7:19:21, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1278, decode.acc_seg: 76.7807, aux.loss_ce: 0.0708, aux.acc_seg: 75.5130, loss: 0.1986 +2022-03-15 07:13:16,590 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 07:13:16,599 - mmseg - INFO - Iter [130000/160000] lr: 2.692e-07, eta: 7:18:37, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1254, decode.acc_seg: 76.8254, aux.loss_ce: 0.0705, aux.acc_seg: 75.5027, loss: 0.1959 +2022-03-15 07:14:00,116 - mmseg - INFO - Iter [130050/160000] lr: 2.688e-07, eta: 7:17:53, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1293, decode.acc_seg: 75.7298, aux.loss_ce: 0.0729, aux.acc_seg: 74.3717, loss: 0.2022 +2022-03-15 07:14:46,403 - mmseg - INFO - Iter [130100/160000] lr: 2.683e-07, eta: 7:17:10, time: 0.924, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1342, decode.acc_seg: 75.9207, aux.loss_ce: 0.0741, aux.acc_seg: 74.5704, loss: 0.2082 +2022-03-15 07:15:29,891 - mmseg - INFO - Iter [130150/160000] lr: 2.679e-07, eta: 7:16:26, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 77.4691, aux.loss_ce: 0.0726, aux.acc_seg: 76.1449, loss: 0.2041 +2022-03-15 07:16:13,291 - mmseg - INFO - Iter [130200/160000] lr: 2.674e-07, eta: 7:15:42, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 75.7854, aux.loss_ce: 0.0719, aux.acc_seg: 74.5899, loss: 0.2031 +2022-03-15 07:16:56,832 - mmseg - INFO - Iter [130250/160000] lr: 2.670e-07, eta: 7:14:58, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1366, decode.acc_seg: 75.2919, aux.loss_ce: 0.0752, aux.acc_seg: 73.9552, loss: 0.2118 +2022-03-15 07:17:40,399 - mmseg - INFO - Iter [130300/160000] lr: 2.665e-07, eta: 7:14:14, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 77.1752, aux.loss_ce: 0.0682, aux.acc_seg: 75.8988, loss: 0.1918 +2022-03-15 07:18:23,654 - mmseg - INFO - Iter [130350/160000] lr: 2.661e-07, eta: 7:13:30, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1302, decode.acc_seg: 77.3735, aux.loss_ce: 0.0736, aux.acc_seg: 75.9230, loss: 0.2037 +2022-03-15 07:19:07,231 - mmseg - INFO - Iter [130400/160000] lr: 2.656e-07, eta: 7:12:46, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1244, decode.acc_seg: 76.6793, aux.loss_ce: 0.0693, aux.acc_seg: 75.3764, loss: 0.1937 +2022-03-15 07:19:50,801 - mmseg - INFO - Iter [130450/160000] lr: 2.652e-07, eta: 7:12:02, time: 0.873, data_time: 0.008, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 77.2266, aux.loss_ce: 0.0733, aux.acc_seg: 75.9098, loss: 0.2032 +2022-03-15 07:20:34,107 - mmseg - INFO - Iter [130500/160000] lr: 2.647e-07, eta: 7:11:18, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 77.5908, aux.loss_ce: 0.0699, aux.acc_seg: 76.2850, loss: 0.1952 +2022-03-15 07:21:17,487 - mmseg - INFO - Iter [130550/160000] lr: 2.643e-07, eta: 7:10:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1275, decode.acc_seg: 76.0019, aux.loss_ce: 0.0710, aux.acc_seg: 74.7423, loss: 0.1985 +2022-03-15 07:22:00,744 - mmseg - INFO - Iter [130600/160000] lr: 2.638e-07, eta: 7:09:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1308, decode.acc_seg: 76.2279, aux.loss_ce: 0.0705, aux.acc_seg: 75.0514, loss: 0.2013 +2022-03-15 07:22:44,021 - mmseg - INFO - Iter [130650/160000] lr: 2.634e-07, eta: 7:09:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 75.9576, aux.loss_ce: 0.0688, aux.acc_seg: 74.7779, loss: 0.1929 +2022-03-15 07:23:27,512 - mmseg - INFO - Iter [130700/160000] lr: 2.629e-07, eta: 7:08:23, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 77.0425, aux.loss_ce: 0.0719, aux.acc_seg: 75.7511, loss: 0.2030 +2022-03-15 07:24:10,851 - mmseg - INFO - Iter [130750/160000] lr: 2.625e-07, eta: 7:07:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 76.8500, aux.loss_ce: 0.0716, aux.acc_seg: 75.5157, loss: 0.1987 +2022-03-15 07:24:54,113 - mmseg - INFO - Iter [130800/160000] lr: 2.620e-07, eta: 7:06:55, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1179, decode.acc_seg: 75.6052, aux.loss_ce: 0.0666, aux.acc_seg: 74.3186, loss: 0.1846 +2022-03-15 07:25:37,563 - mmseg - INFO - Iter [130850/160000] lr: 2.616e-07, eta: 7:06:11, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1440, decode.acc_seg: 76.4723, aux.loss_ce: 0.0802, aux.acc_seg: 75.0254, loss: 0.2242 +2022-03-15 07:26:20,776 - mmseg - INFO - Iter [130900/160000] lr: 2.611e-07, eta: 7:05:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 77.5663, aux.loss_ce: 0.0695, aux.acc_seg: 76.2502, loss: 0.1934 +2022-03-15 07:27:04,145 - mmseg - INFO - Iter [130950/160000] lr: 2.607e-07, eta: 7:04:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 75.7712, aux.loss_ce: 0.0711, aux.acc_seg: 74.4662, loss: 0.1974 +2022-03-15 07:27:47,584 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 07:27:47,588 - mmseg - INFO - Iter [131000/160000] lr: 2.602e-07, eta: 7:03:59, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1333, decode.acc_seg: 75.2984, aux.loss_ce: 0.0751, aux.acc_seg: 73.8307, loss: 0.2084 +2022-03-15 07:28:30,928 - mmseg - INFO - Iter [131050/160000] lr: 2.598e-07, eta: 7:03:15, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1208, decode.acc_seg: 76.7240, aux.loss_ce: 0.0671, aux.acc_seg: 75.4574, loss: 0.1879 +2022-03-15 07:29:14,541 - mmseg - INFO - Iter [131100/160000] lr: 2.593e-07, eta: 7:02:31, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 77.3058, aux.loss_ce: 0.0694, aux.acc_seg: 76.0255, loss: 0.1954 +2022-03-15 07:29:57,911 - mmseg - INFO - Iter [131150/160000] lr: 2.589e-07, eta: 7:01:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 77.6250, aux.loss_ce: 0.0721, aux.acc_seg: 76.1990, loss: 0.2019 +2022-03-15 07:30:41,286 - mmseg - INFO - Iter [131200/160000] lr: 2.585e-07, eta: 7:01:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1201, decode.acc_seg: 75.9119, aux.loss_ce: 0.0663, aux.acc_seg: 74.6942, loss: 0.1865 +2022-03-15 07:31:24,639 - mmseg - INFO - Iter [131250/160000] lr: 2.580e-07, eta: 7:00:19, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1345, decode.acc_seg: 75.9511, aux.loss_ce: 0.0740, aux.acc_seg: 74.7287, loss: 0.2085 +2022-03-15 07:32:08,106 - mmseg - INFO - Iter [131300/160000] lr: 2.576e-07, eta: 6:59:35, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1266, decode.acc_seg: 74.6928, aux.loss_ce: 0.0705, aux.acc_seg: 73.3505, loss: 0.1971 +2022-03-15 07:32:51,561 - mmseg - INFO - Iter [131350/160000] lr: 2.571e-07, eta: 6:58:51, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1248, decode.acc_seg: 77.2507, aux.loss_ce: 0.0710, aux.acc_seg: 75.8194, loss: 0.1958 +2022-03-15 07:33:37,628 - mmseg - INFO - Iter [131400/160000] lr: 2.567e-07, eta: 6:58:08, time: 0.922, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 76.6595, aux.loss_ce: 0.0710, aux.acc_seg: 75.2012, loss: 0.1969 +2022-03-15 07:34:21,101 - mmseg - INFO - Iter [131450/160000] lr: 2.562e-07, eta: 6:57:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1209, decode.acc_seg: 74.9965, aux.loss_ce: 0.0668, aux.acc_seg: 73.8014, loss: 0.1876 +2022-03-15 07:35:04,539 - mmseg - INFO - Iter [131500/160000] lr: 2.558e-07, eta: 6:56:40, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 77.4070, aux.loss_ce: 0.0708, aux.acc_seg: 76.0023, loss: 0.1979 +2022-03-15 07:35:47,753 - mmseg - INFO - Iter [131550/160000] lr: 2.553e-07, eta: 6:55:56, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 76.0000, aux.loss_ce: 0.0692, aux.acc_seg: 74.7169, loss: 0.1924 +2022-03-15 07:36:31,195 - mmseg - INFO - Iter [131600/160000] lr: 2.549e-07, eta: 6:55:12, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 75.3464, aux.loss_ce: 0.0719, aux.acc_seg: 74.0760, loss: 0.2005 +2022-03-15 07:37:14,605 - mmseg - INFO - Iter [131650/160000] lr: 2.544e-07, eta: 6:54:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 76.4291, aux.loss_ce: 0.0693, aux.acc_seg: 75.0875, loss: 0.1941 +2022-03-15 07:37:58,161 - mmseg - INFO - Iter [131700/160000] lr: 2.540e-07, eta: 6:53:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 75.6258, aux.loss_ce: 0.0707, aux.acc_seg: 74.3244, loss: 0.2005 +2022-03-15 07:38:41,653 - mmseg - INFO - Iter [131750/160000] lr: 2.535e-07, eta: 6:53:00, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1317, decode.acc_seg: 76.8135, aux.loss_ce: 0.0736, aux.acc_seg: 75.4854, loss: 0.2053 +2022-03-15 07:39:24,803 - mmseg - INFO - Iter [131800/160000] lr: 2.531e-07, eta: 6:52:16, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 76.0997, aux.loss_ce: 0.0699, aux.acc_seg: 74.9304, loss: 0.1980 +2022-03-15 07:40:08,053 - mmseg - INFO - Iter [131850/160000] lr: 2.526e-07, eta: 6:51:32, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1221, decode.acc_seg: 76.2264, aux.loss_ce: 0.0663, aux.acc_seg: 75.2044, loss: 0.1885 +2022-03-15 07:40:51,379 - mmseg - INFO - Iter [131900/160000] lr: 2.522e-07, eta: 6:50:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 76.0189, aux.loss_ce: 0.0678, aux.acc_seg: 74.8859, loss: 0.1938 +2022-03-15 07:41:34,658 - mmseg - INFO - Iter [131950/160000] lr: 2.517e-07, eta: 6:50:04, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 76.1881, aux.loss_ce: 0.0682, aux.acc_seg: 74.9117, loss: 0.1911 +2022-03-15 07:42:18,002 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 07:42:18,005 - mmseg - INFO - Iter [132000/160000] lr: 2.513e-07, eta: 6:49:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 77.5284, aux.loss_ce: 0.0683, aux.acc_seg: 76.2415, loss: 0.1930 +2022-03-15 07:43:01,356 - mmseg - INFO - Iter [132050/160000] lr: 2.508e-07, eta: 6:48:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 76.5189, aux.loss_ce: 0.0697, aux.acc_seg: 75.2971, loss: 0.1959 +2022-03-15 07:43:44,890 - mmseg - INFO - Iter [132100/160000] lr: 2.504e-07, eta: 6:47:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 76.8534, aux.loss_ce: 0.0707, aux.acc_seg: 75.6372, loss: 0.1972 +2022-03-15 07:44:28,340 - mmseg - INFO - Iter [132150/160000] lr: 2.499e-07, eta: 6:47:08, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 76.2542, aux.loss_ce: 0.0689, aux.acc_seg: 74.9863, loss: 0.1932 +2022-03-15 07:45:11,553 - mmseg - INFO - Iter [132200/160000] lr: 2.495e-07, eta: 6:46:24, time: 0.864, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1290, decode.acc_seg: 76.0382, aux.loss_ce: 0.0717, aux.acc_seg: 74.6818, loss: 0.2007 +2022-03-15 07:45:54,822 - mmseg - INFO - Iter [132250/160000] lr: 2.490e-07, eta: 6:45:40, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 76.6334, aux.loss_ce: 0.0741, aux.acc_seg: 75.1539, loss: 0.2052 +2022-03-15 07:46:38,184 - mmseg - INFO - Iter [132300/160000] lr: 2.486e-07, eta: 6:44:56, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1322, decode.acc_seg: 76.4126, aux.loss_ce: 0.0727, aux.acc_seg: 75.0946, loss: 0.2048 +2022-03-15 07:47:21,585 - mmseg - INFO - Iter [132350/160000] lr: 2.481e-07, eta: 6:44:12, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 77.3347, aux.loss_ce: 0.0699, aux.acc_seg: 76.1214, loss: 0.1982 +2022-03-15 07:48:04,989 - mmseg - INFO - Iter [132400/160000] lr: 2.477e-07, eta: 6:43:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 77.6590, aux.loss_ce: 0.0691, aux.acc_seg: 76.4267, loss: 0.1927 +2022-03-15 07:48:48,445 - mmseg - INFO - Iter [132450/160000] lr: 2.472e-07, eta: 6:42:44, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 74.5688, aux.loss_ce: 0.0690, aux.acc_seg: 73.2619, loss: 0.1917 +2022-03-15 07:49:31,855 - mmseg - INFO - Iter [132500/160000] lr: 2.468e-07, eta: 6:42:00, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 76.2152, aux.loss_ce: 0.0727, aux.acc_seg: 74.8853, loss: 0.2042 +2022-03-15 07:50:15,196 - mmseg - INFO - Iter [132550/160000] lr: 2.463e-07, eta: 6:41:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 77.1819, aux.loss_ce: 0.0710, aux.acc_seg: 76.0690, loss: 0.2014 +2022-03-15 07:50:58,449 - mmseg - INFO - Iter [132600/160000] lr: 2.459e-07, eta: 6:40:32, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1312, decode.acc_seg: 77.6512, aux.loss_ce: 0.0720, aux.acc_seg: 76.3392, loss: 0.2032 +2022-03-15 07:51:44,297 - mmseg - INFO - Iter [132650/160000] lr: 2.454e-07, eta: 6:39:49, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1288, decode.acc_seg: 76.4019, aux.loss_ce: 0.0712, aux.acc_seg: 75.1069, loss: 0.2000 +2022-03-15 07:52:27,585 - mmseg - INFO - Iter [132700/160000] lr: 2.450e-07, eta: 6:39:05, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 77.0466, aux.loss_ce: 0.0705, aux.acc_seg: 75.7028, loss: 0.1962 +2022-03-15 07:53:10,928 - mmseg - INFO - Iter [132750/160000] lr: 2.445e-07, eta: 6:38:21, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 75.7768, aux.loss_ce: 0.0717, aux.acc_seg: 74.4192, loss: 0.2001 +2022-03-15 07:53:54,326 - mmseg - INFO - Iter [132800/160000] lr: 2.441e-07, eta: 6:37:37, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1246, decode.acc_seg: 75.5485, aux.loss_ce: 0.0698, aux.acc_seg: 74.2660, loss: 0.1944 +2022-03-15 07:54:37,758 - mmseg - INFO - Iter [132850/160000] lr: 2.436e-07, eta: 6:36:53, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 77.0221, aux.loss_ce: 0.0685, aux.acc_seg: 75.7647, loss: 0.1912 +2022-03-15 07:55:20,997 - mmseg - INFO - Iter [132900/160000] lr: 2.432e-07, eta: 6:36:09, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1267, decode.acc_seg: 76.5746, aux.loss_ce: 0.0719, aux.acc_seg: 75.1566, loss: 0.1987 +2022-03-15 07:56:04,234 - mmseg - INFO - Iter [132950/160000] lr: 2.427e-07, eta: 6:35:25, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1355, decode.acc_seg: 75.8718, aux.loss_ce: 0.0740, aux.acc_seg: 74.5821, loss: 0.2095 +2022-03-15 07:56:47,445 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 07:56:47,448 - mmseg - INFO - Iter [133000/160000] lr: 2.423e-07, eta: 6:34:41, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 76.3391, aux.loss_ce: 0.0682, aux.acc_seg: 75.0517, loss: 0.1909 +2022-03-15 07:57:30,928 - mmseg - INFO - Iter [133050/160000] lr: 2.419e-07, eta: 6:33:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1262, decode.acc_seg: 76.4228, aux.loss_ce: 0.0718, aux.acc_seg: 74.9708, loss: 0.1980 +2022-03-15 07:58:14,353 - mmseg - INFO - Iter [133100/160000] lr: 2.414e-07, eta: 6:33:13, time: 0.870, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 75.7384, aux.loss_ce: 0.0689, aux.acc_seg: 74.4825, loss: 0.1925 +2022-03-15 07:58:57,637 - mmseg - INFO - Iter [133150/160000] lr: 2.410e-07, eta: 6:32:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1177, decode.acc_seg: 74.9762, aux.loss_ce: 0.0664, aux.acc_seg: 73.7487, loss: 0.1841 +2022-03-15 07:59:41,058 - mmseg - INFO - Iter [133200/160000] lr: 2.405e-07, eta: 6:31:45, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 76.0842, aux.loss_ce: 0.0687, aux.acc_seg: 74.9010, loss: 0.1947 +2022-03-15 08:00:24,503 - mmseg - INFO - Iter [133250/160000] lr: 2.401e-07, eta: 6:31:02, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1237, decode.acc_seg: 75.5215, aux.loss_ce: 0.0698, aux.acc_seg: 74.2161, loss: 0.1935 +2022-03-15 08:01:08,043 - mmseg - INFO - Iter [133300/160000] lr: 2.396e-07, eta: 6:30:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1391, decode.acc_seg: 76.8676, aux.loss_ce: 0.0747, aux.acc_seg: 75.6252, loss: 0.2138 +2022-03-15 08:01:51,469 - mmseg - INFO - Iter [133350/160000] lr: 2.392e-07, eta: 6:29:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1302, decode.acc_seg: 76.7668, aux.loss_ce: 0.0720, aux.acc_seg: 75.4227, loss: 0.2022 +2022-03-15 08:02:34,792 - mmseg - INFO - Iter [133400/160000] lr: 2.387e-07, eta: 6:28:50, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 75.6710, aux.loss_ce: 0.0708, aux.acc_seg: 74.4129, loss: 0.1990 +2022-03-15 08:03:18,167 - mmseg - INFO - Iter [133450/160000] lr: 2.383e-07, eta: 6:28:06, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1203, decode.acc_seg: 76.3813, aux.loss_ce: 0.0661, aux.acc_seg: 75.1820, loss: 0.1864 +2022-03-15 08:04:01,776 - mmseg - INFO - Iter [133500/160000] lr: 2.378e-07, eta: 6:27:22, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 76.4633, aux.loss_ce: 0.0710, aux.acc_seg: 75.2446, loss: 0.2021 +2022-03-15 08:04:45,033 - mmseg - INFO - Iter [133550/160000] lr: 2.374e-07, eta: 6:26:38, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1309, decode.acc_seg: 76.8964, aux.loss_ce: 0.0724, aux.acc_seg: 75.5711, loss: 0.2032 +2022-03-15 08:05:28,594 - mmseg - INFO - Iter [133600/160000] lr: 2.369e-07, eta: 6:25:54, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 75.8917, aux.loss_ce: 0.0705, aux.acc_seg: 74.5380, loss: 0.1971 +2022-03-15 08:06:12,169 - mmseg - INFO - Iter [133650/160000] lr: 2.365e-07, eta: 6:25:10, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1266, decode.acc_seg: 75.5013, aux.loss_ce: 0.0717, aux.acc_seg: 74.1061, loss: 0.1983 +2022-03-15 08:06:55,574 - mmseg - INFO - Iter [133700/160000] lr: 2.360e-07, eta: 6:24:26, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1286, decode.acc_seg: 75.9364, aux.loss_ce: 0.0734, aux.acc_seg: 74.4278, loss: 0.2020 +2022-03-15 08:07:38,713 - mmseg - INFO - Iter [133750/160000] lr: 2.356e-07, eta: 6:23:42, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1291, decode.acc_seg: 76.5534, aux.loss_ce: 0.0727, aux.acc_seg: 75.1082, loss: 0.2017 +2022-03-15 08:08:22,315 - mmseg - INFO - Iter [133800/160000] lr: 2.351e-07, eta: 6:22:58, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1279, decode.acc_seg: 75.8755, aux.loss_ce: 0.0718, aux.acc_seg: 74.4837, loss: 0.1996 +2022-03-15 08:09:05,635 - mmseg - INFO - Iter [133850/160000] lr: 2.347e-07, eta: 6:22:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1267, decode.acc_seg: 77.3671, aux.loss_ce: 0.0707, aux.acc_seg: 76.0300, loss: 0.1974 +2022-03-15 08:09:51,398 - mmseg - INFO - Iter [133900/160000] lr: 2.342e-07, eta: 6:21:31, time: 0.915, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 76.3189, aux.loss_ce: 0.0686, aux.acc_seg: 75.0823, loss: 0.1919 +2022-03-15 08:10:34,621 - mmseg - INFO - Iter [133950/160000] lr: 2.338e-07, eta: 6:20:47, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1373, decode.acc_seg: 76.6289, aux.loss_ce: 0.0758, aux.acc_seg: 75.2926, loss: 0.2131 +2022-03-15 08:11:18,043 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 08:11:18,046 - mmseg - INFO - Iter [134000/160000] lr: 2.333e-07, eta: 6:20:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 75.3221, aux.loss_ce: 0.0687, aux.acc_seg: 74.0997, loss: 0.1936 +2022-03-15 08:12:01,253 - mmseg - INFO - Iter [134050/160000] lr: 2.329e-07, eta: 6:19:19, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 77.3486, aux.loss_ce: 0.0697, aux.acc_seg: 76.0172, loss: 0.1956 +2022-03-15 08:12:44,550 - mmseg - INFO - Iter [134100/160000] lr: 2.324e-07, eta: 6:18:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1300, decode.acc_seg: 76.4170, aux.loss_ce: 0.0729, aux.acc_seg: 75.0139, loss: 0.2028 +2022-03-15 08:13:27,924 - mmseg - INFO - Iter [134150/160000] lr: 2.320e-07, eta: 6:17:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 77.8568, aux.loss_ce: 0.0695, aux.acc_seg: 76.6863, loss: 0.1954 +2022-03-15 08:14:11,261 - mmseg - INFO - Iter [134200/160000] lr: 2.315e-07, eta: 6:17:07, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1275, decode.acc_seg: 76.6815, aux.loss_ce: 0.0699, aux.acc_seg: 75.4838, loss: 0.1973 +2022-03-15 08:14:55,067 - mmseg - INFO - Iter [134250/160000] lr: 2.311e-07, eta: 6:16:23, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1163, decode.acc_seg: 75.7635, aux.loss_ce: 0.0659, aux.acc_seg: 74.4434, loss: 0.1822 +2022-03-15 08:15:38,538 - mmseg - INFO - Iter [134300/160000] lr: 2.306e-07, eta: 6:15:39, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1217, decode.acc_seg: 76.3725, aux.loss_ce: 0.0680, aux.acc_seg: 74.9771, loss: 0.1897 +2022-03-15 08:16:21,915 - mmseg - INFO - Iter [134350/160000] lr: 2.302e-07, eta: 6:14:55, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1332, decode.acc_seg: 76.4779, aux.loss_ce: 0.0736, aux.acc_seg: 75.1397, loss: 0.2068 +2022-03-15 08:17:05,508 - mmseg - INFO - Iter [134400/160000] lr: 2.297e-07, eta: 6:14:11, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1331, decode.acc_seg: 75.9726, aux.loss_ce: 0.0733, aux.acc_seg: 74.6859, loss: 0.2063 +2022-03-15 08:17:48,930 - mmseg - INFO - Iter [134450/160000] lr: 2.293e-07, eta: 6:13:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1211, decode.acc_seg: 77.0836, aux.loss_ce: 0.0674, aux.acc_seg: 75.8344, loss: 0.1885 +2022-03-15 08:18:32,432 - mmseg - INFO - Iter [134500/160000] lr: 2.288e-07, eta: 6:12:44, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 77.1367, aux.loss_ce: 0.0714, aux.acc_seg: 75.8029, loss: 0.1998 +2022-03-15 08:19:16,068 - mmseg - INFO - Iter [134550/160000] lr: 2.284e-07, eta: 6:12:00, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1307, decode.acc_seg: 76.3764, aux.loss_ce: 0.0712, aux.acc_seg: 75.0785, loss: 0.2019 +2022-03-15 08:19:59,509 - mmseg - INFO - Iter [134600/160000] lr: 2.279e-07, eta: 6:11:16, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1182, decode.acc_seg: 77.0861, aux.loss_ce: 0.0673, aux.acc_seg: 75.7785, loss: 0.1855 +2022-03-15 08:20:42,924 - mmseg - INFO - Iter [134650/160000] lr: 2.275e-07, eta: 6:10:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 76.5198, aux.loss_ce: 0.0710, aux.acc_seg: 75.1657, loss: 0.1996 +2022-03-15 08:21:26,226 - mmseg - INFO - Iter [134700/160000] lr: 2.270e-07, eta: 6:09:48, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1238, decode.acc_seg: 76.3516, aux.loss_ce: 0.0695, aux.acc_seg: 75.0161, loss: 0.1933 +2022-03-15 08:22:09,554 - mmseg - INFO - Iter [134750/160000] lr: 2.266e-07, eta: 6:09:04, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1246, decode.acc_seg: 77.1247, aux.loss_ce: 0.0699, aux.acc_seg: 75.8264, loss: 0.1945 +2022-03-15 08:22:52,964 - mmseg - INFO - Iter [134800/160000] lr: 2.261e-07, eta: 6:08:20, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1346, decode.acc_seg: 76.8173, aux.loss_ce: 0.0744, aux.acc_seg: 75.3819, loss: 0.2090 +2022-03-15 08:23:36,177 - mmseg - INFO - Iter [134850/160000] lr: 2.257e-07, eta: 6:07:36, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1258, decode.acc_seg: 76.4360, aux.loss_ce: 0.0716, aux.acc_seg: 74.8856, loss: 0.1974 +2022-03-15 08:24:19,414 - mmseg - INFO - Iter [134900/160000] lr: 2.252e-07, eta: 6:06:52, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 76.6630, aux.loss_ce: 0.0664, aux.acc_seg: 75.6060, loss: 0.1892 +2022-03-15 08:25:03,065 - mmseg - INFO - Iter [134950/160000] lr: 2.248e-07, eta: 6:06:08, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1144, decode.acc_seg: 77.8594, aux.loss_ce: 0.0654, aux.acc_seg: 76.4886, loss: 0.1798 +2022-03-15 08:25:46,365 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 08:25:46,369 - mmseg - INFO - Iter [135000/160000] lr: 2.244e-07, eta: 6:05:24, time: 0.868, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 74.8378, aux.loss_ce: 0.0692, aux.acc_seg: 73.4584, loss: 0.1910 +2022-03-15 08:26:29,812 - mmseg - INFO - Iter [135050/160000] lr: 2.239e-07, eta: 6:04:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 75.8497, aux.loss_ce: 0.0718, aux.acc_seg: 74.6203, loss: 0.2013 +2022-03-15 08:27:13,148 - mmseg - INFO - Iter [135100/160000] lr: 2.235e-07, eta: 6:03:56, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1255, decode.acc_seg: 77.7775, aux.loss_ce: 0.0693, aux.acc_seg: 76.5288, loss: 0.1949 +2022-03-15 08:27:59,092 - mmseg - INFO - Iter [135150/160000] lr: 2.230e-07, eta: 6:03:13, time: 0.919, data_time: 0.055, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 76.8564, aux.loss_ce: 0.0703, aux.acc_seg: 75.5471, loss: 0.1944 +2022-03-15 08:28:42,580 - mmseg - INFO - Iter [135200/160000] lr: 2.226e-07, eta: 6:02:29, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 76.7213, aux.loss_ce: 0.0684, aux.acc_seg: 75.4964, loss: 0.1943 +2022-03-15 08:29:25,806 - mmseg - INFO - Iter [135250/160000] lr: 2.221e-07, eta: 6:01:45, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 75.9519, aux.loss_ce: 0.0704, aux.acc_seg: 74.6520, loss: 0.1998 +2022-03-15 08:30:09,091 - mmseg - INFO - Iter [135300/160000] lr: 2.217e-07, eta: 6:01:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 75.7644, aux.loss_ce: 0.0710, aux.acc_seg: 74.3838, loss: 0.1978 +2022-03-15 08:30:52,424 - mmseg - INFO - Iter [135350/160000] lr: 2.212e-07, eta: 6:00:17, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1209, decode.acc_seg: 75.8386, aux.loss_ce: 0.0665, aux.acc_seg: 74.6713, loss: 0.1874 +2022-03-15 08:31:36,097 - mmseg - INFO - Iter [135400/160000] lr: 2.208e-07, eta: 5:59:33, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 74.7303, aux.loss_ce: 0.0684, aux.acc_seg: 73.4779, loss: 0.1933 +2022-03-15 08:32:19,434 - mmseg - INFO - Iter [135450/160000] lr: 2.203e-07, eta: 5:58:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1213, decode.acc_seg: 76.6676, aux.loss_ce: 0.0686, aux.acc_seg: 75.2647, loss: 0.1899 +2022-03-15 08:33:02,865 - mmseg - INFO - Iter [135500/160000] lr: 2.199e-07, eta: 5:58:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1295, decode.acc_seg: 78.9420, aux.loss_ce: 0.0719, aux.acc_seg: 77.5878, loss: 0.2013 +2022-03-15 08:33:46,361 - mmseg - INFO - Iter [135550/160000] lr: 2.194e-07, eta: 5:57:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 76.2760, aux.loss_ce: 0.0705, aux.acc_seg: 74.8780, loss: 0.1945 +2022-03-15 08:34:29,860 - mmseg - INFO - Iter [135600/160000] lr: 2.190e-07, eta: 5:56:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 75.7766, aux.loss_ce: 0.0715, aux.acc_seg: 74.4637, loss: 0.1998 +2022-03-15 08:35:13,296 - mmseg - INFO - Iter [135650/160000] lr: 2.185e-07, eta: 5:55:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 76.2034, aux.loss_ce: 0.0682, aux.acc_seg: 75.0126, loss: 0.1921 +2022-03-15 08:35:56,948 - mmseg - INFO - Iter [135700/160000] lr: 2.181e-07, eta: 5:55:10, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1262, decode.acc_seg: 77.1712, aux.loss_ce: 0.0708, aux.acc_seg: 75.9006, loss: 0.1970 +2022-03-15 08:36:40,286 - mmseg - INFO - Iter [135750/160000] lr: 2.176e-07, eta: 5:54:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 77.2070, aux.loss_ce: 0.0701, aux.acc_seg: 75.9800, loss: 0.1982 +2022-03-15 08:37:23,590 - mmseg - INFO - Iter [135800/160000] lr: 2.172e-07, eta: 5:53:42, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 76.8993, aux.loss_ce: 0.0715, aux.acc_seg: 75.5963, loss: 0.2012 +2022-03-15 08:38:06,897 - mmseg - INFO - Iter [135850/160000] lr: 2.167e-07, eta: 5:52:58, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1352, decode.acc_seg: 77.5895, aux.loss_ce: 0.0751, aux.acc_seg: 76.2482, loss: 0.2103 +2022-03-15 08:38:50,168 - mmseg - INFO - Iter [135900/160000] lr: 2.163e-07, eta: 5:52:14, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 76.1059, aux.loss_ce: 0.0726, aux.acc_seg: 74.7201, loss: 0.1994 +2022-03-15 08:39:33,562 - mmseg - INFO - Iter [135950/160000] lr: 2.158e-07, eta: 5:51:30, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 74.7774, aux.loss_ce: 0.0699, aux.acc_seg: 73.4736, loss: 0.1964 +2022-03-15 08:40:16,869 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 08:40:16,871 - mmseg - INFO - Iter [136000/160000] lr: 2.154e-07, eta: 5:50:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1346, decode.acc_seg: 75.8678, aux.loss_ce: 0.0752, aux.acc_seg: 74.5005, loss: 0.2098 +2022-03-15 08:41:00,243 - mmseg - INFO - Iter [136050/160000] lr: 2.149e-07, eta: 5:50:02, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1317, decode.acc_seg: 75.5070, aux.loss_ce: 0.0732, aux.acc_seg: 74.1638, loss: 0.2049 +2022-03-15 08:41:43,851 - mmseg - INFO - Iter [136100/160000] lr: 2.145e-07, eta: 5:49:18, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1244, decode.acc_seg: 75.8449, aux.loss_ce: 0.0683, aux.acc_seg: 74.5839, loss: 0.1927 +2022-03-15 08:42:27,280 - mmseg - INFO - Iter [136150/160000] lr: 2.140e-07, eta: 5:48:34, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1210, decode.acc_seg: 74.7179, aux.loss_ce: 0.0671, aux.acc_seg: 73.5385, loss: 0.1881 +2022-03-15 08:43:10,743 - mmseg - INFO - Iter [136200/160000] lr: 2.136e-07, eta: 5:47:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 75.4621, aux.loss_ce: 0.0681, aux.acc_seg: 74.1159, loss: 0.1881 +2022-03-15 08:43:54,156 - mmseg - INFO - Iter [136250/160000] lr: 2.131e-07, eta: 5:47:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1250, decode.acc_seg: 77.4361, aux.loss_ce: 0.0708, aux.acc_seg: 76.0158, loss: 0.1958 +2022-03-15 08:44:37,537 - mmseg - INFO - Iter [136300/160000] lr: 2.127e-07, eta: 5:46:23, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 76.4087, aux.loss_ce: 0.0722, aux.acc_seg: 75.0003, loss: 0.2002 +2022-03-15 08:45:20,839 - mmseg - INFO - Iter [136350/160000] lr: 2.122e-07, eta: 5:45:39, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 76.6223, aux.loss_ce: 0.0710, aux.acc_seg: 75.2737, loss: 0.1981 +2022-03-15 08:46:04,164 - mmseg - INFO - Iter [136400/160000] lr: 2.118e-07, eta: 5:44:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1270, decode.acc_seg: 75.9915, aux.loss_ce: 0.0717, aux.acc_seg: 74.6633, loss: 0.1987 +2022-03-15 08:46:49,739 - mmseg - INFO - Iter [136450/160000] lr: 2.113e-07, eta: 5:44:11, time: 0.911, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1252, decode.acc_seg: 77.3380, aux.loss_ce: 0.0691, aux.acc_seg: 76.0017, loss: 0.1943 +2022-03-15 08:47:33,198 - mmseg - INFO - Iter [136500/160000] lr: 2.109e-07, eta: 5:43:27, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1208, decode.acc_seg: 76.2164, aux.loss_ce: 0.0679, aux.acc_seg: 74.9181, loss: 0.1888 +2022-03-15 08:48:16,548 - mmseg - INFO - Iter [136550/160000] lr: 2.104e-07, eta: 5:42:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 76.3522, aux.loss_ce: 0.0712, aux.acc_seg: 74.9180, loss: 0.1961 +2022-03-15 08:48:59,996 - mmseg - INFO - Iter [136600/160000] lr: 2.100e-07, eta: 5:41:59, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1279, decode.acc_seg: 77.1689, aux.loss_ce: 0.0717, aux.acc_seg: 75.7243, loss: 0.1996 +2022-03-15 08:49:43,411 - mmseg - INFO - Iter [136650/160000] lr: 2.095e-07, eta: 5:41:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 76.7087, aux.loss_ce: 0.0697, aux.acc_seg: 75.3921, loss: 0.1932 +2022-03-15 08:50:26,906 - mmseg - INFO - Iter [136700/160000] lr: 2.091e-07, eta: 5:40:32, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 76.8013, aux.loss_ce: 0.0704, aux.acc_seg: 75.5360, loss: 0.1963 +2022-03-15 08:51:10,239 - mmseg - INFO - Iter [136750/160000] lr: 2.086e-07, eta: 5:39:48, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1182, decode.acc_seg: 76.8284, aux.loss_ce: 0.0664, aux.acc_seg: 75.5623, loss: 0.1847 +2022-03-15 08:51:53,440 - mmseg - INFO - Iter [136800/160000] lr: 2.082e-07, eta: 5:39:04, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1172, decode.acc_seg: 76.5405, aux.loss_ce: 0.0655, aux.acc_seg: 75.2750, loss: 0.1827 +2022-03-15 08:52:36,963 - mmseg - INFO - Iter [136850/160000] lr: 2.078e-07, eta: 5:38:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1300, decode.acc_seg: 74.9954, aux.loss_ce: 0.0724, aux.acc_seg: 73.6374, loss: 0.2024 +2022-03-15 08:53:20,509 - mmseg - INFO - Iter [136900/160000] lr: 2.073e-07, eta: 5:37:36, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1321, decode.acc_seg: 76.9466, aux.loss_ce: 0.0735, aux.acc_seg: 75.6564, loss: 0.2056 +2022-03-15 08:54:04,055 - mmseg - INFO - Iter [136950/160000] lr: 2.069e-07, eta: 5:36:52, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1288, decode.acc_seg: 76.7754, aux.loss_ce: 0.0725, aux.acc_seg: 75.3198, loss: 0.2012 +2022-03-15 08:54:47,516 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 08:54:47,523 - mmseg - INFO - Iter [137000/160000] lr: 2.064e-07, eta: 5:36:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 76.6503, aux.loss_ce: 0.0684, aux.acc_seg: 75.3179, loss: 0.1896 +2022-03-15 08:55:30,981 - mmseg - INFO - Iter [137050/160000] lr: 2.060e-07, eta: 5:35:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1184, decode.acc_seg: 76.1280, aux.loss_ce: 0.0661, aux.acc_seg: 74.8957, loss: 0.1844 +2022-03-15 08:56:14,639 - mmseg - INFO - Iter [137100/160000] lr: 2.055e-07, eta: 5:34:40, time: 0.875, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 76.8728, aux.loss_ce: 0.0713, aux.acc_seg: 75.5739, loss: 0.1997 +2022-03-15 08:56:58,071 - mmseg - INFO - Iter [137150/160000] lr: 2.051e-07, eta: 5:33:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1195, decode.acc_seg: 76.3946, aux.loss_ce: 0.0670, aux.acc_seg: 75.0995, loss: 0.1866 +2022-03-15 08:57:41,323 - mmseg - INFO - Iter [137200/160000] lr: 2.046e-07, eta: 5:33:12, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 76.9559, aux.loss_ce: 0.0688, aux.acc_seg: 75.6338, loss: 0.1919 +2022-03-15 08:58:24,592 - mmseg - INFO - Iter [137250/160000] lr: 2.042e-07, eta: 5:32:29, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 76.2701, aux.loss_ce: 0.0706, aux.acc_seg: 74.9780, loss: 0.1990 +2022-03-15 08:59:08,105 - mmseg - INFO - Iter [137300/160000] lr: 2.037e-07, eta: 5:31:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 76.2898, aux.loss_ce: 0.0703, aux.acc_seg: 75.0726, loss: 0.1987 +2022-03-15 08:59:51,768 - mmseg - INFO - Iter [137350/160000] lr: 2.033e-07, eta: 5:31:01, time: 0.873, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1351, decode.acc_seg: 76.2381, aux.loss_ce: 0.0747, aux.acc_seg: 74.9237, loss: 0.2098 +2022-03-15 09:00:35,084 - mmseg - INFO - Iter [137400/160000] lr: 2.028e-07, eta: 5:30:17, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1272, decode.acc_seg: 75.0543, aux.loss_ce: 0.0707, aux.acc_seg: 73.7373, loss: 0.1979 +2022-03-15 09:01:18,462 - mmseg - INFO - Iter [137450/160000] lr: 2.024e-07, eta: 5:29:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1318, decode.acc_seg: 76.8711, aux.loss_ce: 0.0729, aux.acc_seg: 75.5745, loss: 0.2047 +2022-03-15 09:02:01,633 - mmseg - INFO - Iter [137500/160000] lr: 2.019e-07, eta: 5:28:49, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 75.8478, aux.loss_ce: 0.0657, aux.acc_seg: 74.6712, loss: 0.1849 +2022-03-15 09:02:45,110 - mmseg - INFO - Iter [137550/160000] lr: 2.015e-07, eta: 5:28:05, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1292, decode.acc_seg: 77.9923, aux.loss_ce: 0.0723, aux.acc_seg: 76.6667, loss: 0.2014 +2022-03-15 09:03:28,687 - mmseg - INFO - Iter [137600/160000] lr: 2.010e-07, eta: 5:27:21, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1211, decode.acc_seg: 76.6349, aux.loss_ce: 0.0673, aux.acc_seg: 75.3969, loss: 0.1885 +2022-03-15 09:04:11,947 - mmseg - INFO - Iter [137650/160000] lr: 2.006e-07, eta: 5:26:37, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1310, decode.acc_seg: 76.7812, aux.loss_ce: 0.0725, aux.acc_seg: 75.4763, loss: 0.2035 +2022-03-15 09:04:57,971 - mmseg - INFO - Iter [137700/160000] lr: 2.001e-07, eta: 5:25:54, time: 0.921, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 76.7329, aux.loss_ce: 0.0729, aux.acc_seg: 75.3795, loss: 0.2028 +2022-03-15 09:05:41,313 - mmseg - INFO - Iter [137750/160000] lr: 1.997e-07, eta: 5:25:10, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1216, decode.acc_seg: 77.2269, aux.loss_ce: 0.0678, aux.acc_seg: 75.9308, loss: 0.1894 +2022-03-15 09:06:24,668 - mmseg - INFO - Iter [137800/160000] lr: 1.992e-07, eta: 5:24:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1282, decode.acc_seg: 75.5355, aux.loss_ce: 0.0718, aux.acc_seg: 74.1519, loss: 0.2000 +2022-03-15 09:07:07,921 - mmseg - INFO - Iter [137850/160000] lr: 1.988e-07, eta: 5:23:42, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1299, decode.acc_seg: 76.1948, aux.loss_ce: 0.0731, aux.acc_seg: 74.8550, loss: 0.2030 +2022-03-15 09:07:51,308 - mmseg - INFO - Iter [137900/160000] lr: 1.983e-07, eta: 5:22:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 77.4241, aux.loss_ce: 0.0699, aux.acc_seg: 76.0464, loss: 0.1942 +2022-03-15 09:08:34,807 - mmseg - INFO - Iter [137950/160000] lr: 1.979e-07, eta: 5:22:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 75.6835, aux.loss_ce: 0.0708, aux.acc_seg: 74.4490, loss: 0.2002 +2022-03-15 09:09:18,471 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 09:09:18,474 - mmseg - INFO - Iter [138000/160000] lr: 1.974e-07, eta: 5:21:30, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 75.3638, aux.loss_ce: 0.0701, aux.acc_seg: 74.0487, loss: 0.1970 +2022-03-15 09:10:02,039 - mmseg - INFO - Iter [138050/160000] lr: 1.970e-07, eta: 5:20:46, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 75.6729, aux.loss_ce: 0.0699, aux.acc_seg: 74.3395, loss: 0.1944 +2022-03-15 09:10:45,541 - mmseg - INFO - Iter [138100/160000] lr: 1.965e-07, eta: 5:20:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 76.2421, aux.loss_ce: 0.0698, aux.acc_seg: 74.9079, loss: 0.1925 +2022-03-15 09:11:29,077 - mmseg - INFO - Iter [138150/160000] lr: 1.961e-07, eta: 5:19:19, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1287, decode.acc_seg: 76.4205, aux.loss_ce: 0.0724, aux.acc_seg: 75.0653, loss: 0.2011 +2022-03-15 09:12:12,574 - mmseg - INFO - Iter [138200/160000] lr: 1.956e-07, eta: 5:18:35, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 77.9248, aux.loss_ce: 0.0705, aux.acc_seg: 76.5647, loss: 0.1970 +2022-03-15 09:12:55,988 - mmseg - INFO - Iter [138250/160000] lr: 1.952e-07, eta: 5:17:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 75.8385, aux.loss_ce: 0.0704, aux.acc_seg: 74.4733, loss: 0.1951 +2022-03-15 09:13:39,435 - mmseg - INFO - Iter [138300/160000] lr: 1.947e-07, eta: 5:17:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 77.0563, aux.loss_ce: 0.0712, aux.acc_seg: 75.6352, loss: 0.1951 +2022-03-15 09:14:22,724 - mmseg - INFO - Iter [138350/160000] lr: 1.943e-07, eta: 5:16:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1324, decode.acc_seg: 76.2399, aux.loss_ce: 0.0738, aux.acc_seg: 74.8453, loss: 0.2062 +2022-03-15 09:15:06,068 - mmseg - INFO - Iter [138400/160000] lr: 1.938e-07, eta: 5:15:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 76.2785, aux.loss_ce: 0.0691, aux.acc_seg: 75.0272, loss: 0.1938 +2022-03-15 09:15:49,497 - mmseg - INFO - Iter [138450/160000] lr: 1.934e-07, eta: 5:14:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1238, decode.acc_seg: 77.4440, aux.loss_ce: 0.0688, aux.acc_seg: 76.1320, loss: 0.1926 +2022-03-15 09:16:32,938 - mmseg - INFO - Iter [138500/160000] lr: 1.929e-07, eta: 5:14:11, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 77.9516, aux.loss_ce: 0.0712, aux.acc_seg: 76.5838, loss: 0.1982 +2022-03-15 09:17:16,550 - mmseg - INFO - Iter [138550/160000] lr: 1.925e-07, eta: 5:13:27, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 77.3554, aux.loss_ce: 0.0712, aux.acc_seg: 75.9249, loss: 0.1955 +2022-03-15 09:17:59,950 - mmseg - INFO - Iter [138600/160000] lr: 1.920e-07, eta: 5:12:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1266, decode.acc_seg: 76.4759, aux.loss_ce: 0.0703, aux.acc_seg: 75.2309, loss: 0.1970 +2022-03-15 09:18:43,201 - mmseg - INFO - Iter [138650/160000] lr: 1.916e-07, eta: 5:11:59, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 74.9864, aux.loss_ce: 0.0697, aux.acc_seg: 73.7341, loss: 0.1957 +2022-03-15 09:19:26,433 - mmseg - INFO - Iter [138700/160000] lr: 1.911e-07, eta: 5:11:16, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1252, decode.acc_seg: 75.1618, aux.loss_ce: 0.0690, aux.acc_seg: 73.9254, loss: 0.1941 +2022-03-15 09:20:10,281 - mmseg - INFO - Iter [138750/160000] lr: 1.907e-07, eta: 5:10:32, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1292, decode.acc_seg: 76.0521, aux.loss_ce: 0.0719, aux.acc_seg: 74.6903, loss: 0.2010 +2022-03-15 09:20:53,860 - mmseg - INFO - Iter [138800/160000] lr: 1.903e-07, eta: 5:09:48, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1251, decode.acc_seg: 76.0883, aux.loss_ce: 0.0696, aux.acc_seg: 74.7662, loss: 0.1948 +2022-03-15 09:21:37,309 - mmseg - INFO - Iter [138850/160000] lr: 1.898e-07, eta: 5:09:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1315, decode.acc_seg: 75.7491, aux.loss_ce: 0.0727, aux.acc_seg: 74.3516, loss: 0.2043 +2022-03-15 09:22:20,816 - mmseg - INFO - Iter [138900/160000] lr: 1.894e-07, eta: 5:08:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 77.8286, aux.loss_ce: 0.0686, aux.acc_seg: 76.5544, loss: 0.1914 +2022-03-15 09:23:06,587 - mmseg - INFO - Iter [138950/160000] lr: 1.889e-07, eta: 5:07:36, time: 0.915, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 75.8006, aux.loss_ce: 0.0708, aux.acc_seg: 74.4981, loss: 0.1968 +2022-03-15 09:23:49,914 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 09:23:49,920 - mmseg - INFO - Iter [139000/160000] lr: 1.885e-07, eta: 5:06:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1295, decode.acc_seg: 76.8339, aux.loss_ce: 0.0726, aux.acc_seg: 75.4924, loss: 0.2022 +2022-03-15 09:24:33,393 - mmseg - INFO - Iter [139050/160000] lr: 1.880e-07, eta: 5:06:09, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 75.9168, aux.loss_ce: 0.0712, aux.acc_seg: 74.6921, loss: 0.2017 +2022-03-15 09:25:16,879 - mmseg - INFO - Iter [139100/160000] lr: 1.876e-07, eta: 5:05:25, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 76.4466, aux.loss_ce: 0.0698, aux.acc_seg: 75.0715, loss: 0.1924 +2022-03-15 09:26:00,500 - mmseg - INFO - Iter [139150/160000] lr: 1.871e-07, eta: 5:04:41, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 77.4240, aux.loss_ce: 0.0710, aux.acc_seg: 76.0610, loss: 0.1995 +2022-03-15 09:26:43,733 - mmseg - INFO - Iter [139200/160000] lr: 1.867e-07, eta: 5:03:57, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1191, decode.acc_seg: 77.9417, aux.loss_ce: 0.0665, aux.acc_seg: 76.7203, loss: 0.1856 +2022-03-15 09:27:27,256 - mmseg - INFO - Iter [139250/160000] lr: 1.862e-07, eta: 5:03:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1276, decode.acc_seg: 75.9048, aux.loss_ce: 0.0721, aux.acc_seg: 74.5510, loss: 0.1996 +2022-03-15 09:28:10,813 - mmseg - INFO - Iter [139300/160000] lr: 1.858e-07, eta: 5:02:29, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1230, decode.acc_seg: 77.7571, aux.loss_ce: 0.0674, aux.acc_seg: 76.4947, loss: 0.1904 +2022-03-15 09:28:54,322 - mmseg - INFO - Iter [139350/160000] lr: 1.853e-07, eta: 5:01:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1176, decode.acc_seg: 77.0507, aux.loss_ce: 0.0662, aux.acc_seg: 75.8158, loss: 0.1837 +2022-03-15 09:29:37,713 - mmseg - INFO - Iter [139400/160000] lr: 1.849e-07, eta: 5:01:01, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 74.9275, aux.loss_ce: 0.0702, aux.acc_seg: 73.6446, loss: 0.1962 +2022-03-15 09:30:21,131 - mmseg - INFO - Iter [139450/160000] lr: 1.844e-07, eta: 5:00:18, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 76.7723, aux.loss_ce: 0.0738, aux.acc_seg: 75.1655, loss: 0.2022 +2022-03-15 09:31:04,460 - mmseg - INFO - Iter [139500/160000] lr: 1.840e-07, eta: 4:59:34, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1126, decode.acc_seg: 76.4994, aux.loss_ce: 0.0633, aux.acc_seg: 75.2861, loss: 0.1759 +2022-03-15 09:31:47,886 - mmseg - INFO - Iter [139550/160000] lr: 1.835e-07, eta: 4:58:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1224, decode.acc_seg: 77.4301, aux.loss_ce: 0.0682, aux.acc_seg: 76.2034, loss: 0.1907 +2022-03-15 09:32:31,108 - mmseg - INFO - Iter [139600/160000] lr: 1.831e-07, eta: 4:58:06, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1262, decode.acc_seg: 76.4732, aux.loss_ce: 0.0704, aux.acc_seg: 75.2172, loss: 0.1965 +2022-03-15 09:33:14,424 - mmseg - INFO - Iter [139650/160000] lr: 1.826e-07, eta: 4:57:22, time: 0.866, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 74.5363, aux.loss_ce: 0.0705, aux.acc_seg: 73.2338, loss: 0.1968 +2022-03-15 09:33:58,012 - mmseg - INFO - Iter [139700/160000] lr: 1.822e-07, eta: 4:56:38, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 77.0575, aux.loss_ce: 0.0695, aux.acc_seg: 75.7985, loss: 0.1953 +2022-03-15 09:34:41,224 - mmseg - INFO - Iter [139750/160000] lr: 1.817e-07, eta: 4:55:54, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1158, decode.acc_seg: 75.7140, aux.loss_ce: 0.0648, aux.acc_seg: 74.4726, loss: 0.1806 +2022-03-15 09:35:24,466 - mmseg - INFO - Iter [139800/160000] lr: 1.813e-07, eta: 4:55:10, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1250, decode.acc_seg: 76.7453, aux.loss_ce: 0.0698, aux.acc_seg: 75.4233, loss: 0.1948 +2022-03-15 09:36:07,752 - mmseg - INFO - Iter [139850/160000] lr: 1.808e-07, eta: 4:54:26, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1238, decode.acc_seg: 76.0515, aux.loss_ce: 0.0682, aux.acc_seg: 75.0224, loss: 0.1919 +2022-03-15 09:36:51,347 - mmseg - INFO - Iter [139900/160000] lr: 1.804e-07, eta: 4:53:42, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1205, decode.acc_seg: 76.9597, aux.loss_ce: 0.0672, aux.acc_seg: 75.6503, loss: 0.1877 +2022-03-15 09:37:35,075 - mmseg - INFO - Iter [139950/160000] lr: 1.799e-07, eta: 4:52:58, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 77.2629, aux.loss_ce: 0.0716, aux.acc_seg: 75.9312, loss: 0.1981 +2022-03-15 09:38:18,659 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 09:38:18,664 - mmseg - INFO - Iter [140000/160000] lr: 1.795e-07, eta: 4:52:15, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 76.7879, aux.loss_ce: 0.0694, aux.acc_seg: 75.4032, loss: 0.1925 +2022-03-15 09:39:01,929 - mmseg - INFO - Iter [140050/160000] lr: 1.790e-07, eta: 4:51:31, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.8558, aux.loss_ce: 0.0710, aux.acc_seg: 75.4603, loss: 0.1955 +2022-03-15 09:39:45,159 - mmseg - INFO - Iter [140100/160000] lr: 1.786e-07, eta: 4:50:47, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 75.4502, aux.loss_ce: 0.0706, aux.acc_seg: 74.1630, loss: 0.1991 +2022-03-15 09:40:28,472 - mmseg - INFO - Iter [140150/160000] lr: 1.781e-07, eta: 4:50:03, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1251, decode.acc_seg: 77.0268, aux.loss_ce: 0.0689, aux.acc_seg: 75.8067, loss: 0.1939 +2022-03-15 09:41:14,432 - mmseg - INFO - Iter [140200/160000] lr: 1.777e-07, eta: 4:49:19, time: 0.917, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 77.3254, aux.loss_ce: 0.0710, aux.acc_seg: 76.0191, loss: 0.1975 +2022-03-15 09:41:58,147 - mmseg - INFO - Iter [140250/160000] lr: 1.772e-07, eta: 4:48:35, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1295, decode.acc_seg: 75.8975, aux.loss_ce: 0.0716, aux.acc_seg: 74.5501, loss: 0.2012 +2022-03-15 09:42:41,760 - mmseg - INFO - Iter [140300/160000] lr: 1.768e-07, eta: 4:47:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 77.4426, aux.loss_ce: 0.0678, aux.acc_seg: 76.2578, loss: 0.1909 +2022-03-15 09:43:25,175 - mmseg - INFO - Iter [140350/160000] lr: 1.763e-07, eta: 4:47:08, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 77.5377, aux.loss_ce: 0.0689, aux.acc_seg: 76.2432, loss: 0.1917 +2022-03-15 09:44:08,472 - mmseg - INFO - Iter [140400/160000] lr: 1.759e-07, eta: 4:46:24, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 77.1711, aux.loss_ce: 0.0684, aux.acc_seg: 75.8356, loss: 0.1911 +2022-03-15 09:44:51,939 - mmseg - INFO - Iter [140450/160000] lr: 1.754e-07, eta: 4:45:40, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1198, decode.acc_seg: 76.4674, aux.loss_ce: 0.0680, aux.acc_seg: 75.1016, loss: 0.1878 +2022-03-15 09:45:35,365 - mmseg - INFO - Iter [140500/160000] lr: 1.750e-07, eta: 4:44:56, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1224, decode.acc_seg: 76.4769, aux.loss_ce: 0.0687, aux.acc_seg: 75.1290, loss: 0.1911 +2022-03-15 09:46:18,738 - mmseg - INFO - Iter [140550/160000] lr: 1.745e-07, eta: 4:44:12, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1287, decode.acc_seg: 77.6596, aux.loss_ce: 0.0719, aux.acc_seg: 76.3334, loss: 0.2005 +2022-03-15 09:47:02,128 - mmseg - INFO - Iter [140600/160000] lr: 1.741e-07, eta: 4:43:28, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 76.4383, aux.loss_ce: 0.0709, aux.acc_seg: 75.0984, loss: 0.1968 +2022-03-15 09:47:45,688 - mmseg - INFO - Iter [140650/160000] lr: 1.737e-07, eta: 4:42:44, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1216, decode.acc_seg: 75.7844, aux.loss_ce: 0.0670, aux.acc_seg: 74.6151, loss: 0.1886 +2022-03-15 09:48:29,304 - mmseg - INFO - Iter [140700/160000] lr: 1.732e-07, eta: 4:42:00, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 75.9536, aux.loss_ce: 0.0700, aux.acc_seg: 74.5745, loss: 0.1945 +2022-03-15 09:49:12,910 - mmseg - INFO - Iter [140750/160000] lr: 1.728e-07, eta: 4:41:17, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1230, decode.acc_seg: 75.5940, aux.loss_ce: 0.0671, aux.acc_seg: 74.4774, loss: 0.1901 +2022-03-15 09:49:56,309 - mmseg - INFO - Iter [140800/160000] lr: 1.723e-07, eta: 4:40:33, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.4430, aux.loss_ce: 0.0699, aux.acc_seg: 75.0866, loss: 0.1945 +2022-03-15 09:50:39,669 - mmseg - INFO - Iter [140850/160000] lr: 1.719e-07, eta: 4:39:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 76.8680, aux.loss_ce: 0.0717, aux.acc_seg: 75.4919, loss: 0.1998 +2022-03-15 09:51:23,260 - mmseg - INFO - Iter [140900/160000] lr: 1.714e-07, eta: 4:39:05, time: 0.872, data_time: 0.008, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 76.9033, aux.loss_ce: 0.0690, aux.acc_seg: 75.7271, loss: 0.1925 +2022-03-15 09:52:06,761 - mmseg - INFO - Iter [140950/160000] lr: 1.710e-07, eta: 4:38:21, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 76.7247, aux.loss_ce: 0.0710, aux.acc_seg: 75.3372, loss: 0.1952 +2022-03-15 09:52:50,175 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 09:52:50,180 - mmseg - INFO - Iter [141000/160000] lr: 1.705e-07, eta: 4:37:37, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1209, decode.acc_seg: 76.1810, aux.loss_ce: 0.0685, aux.acc_seg: 74.8456, loss: 0.1894 +2022-03-15 09:53:33,728 - mmseg - INFO - Iter [141050/160000] lr: 1.701e-07, eta: 4:36:53, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1320, decode.acc_seg: 75.9241, aux.loss_ce: 0.0739, aux.acc_seg: 74.5524, loss: 0.2059 +2022-03-15 09:54:17,391 - mmseg - INFO - Iter [141100/160000] lr: 1.696e-07, eta: 4:36:09, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 76.3972, aux.loss_ce: 0.0710, aux.acc_seg: 75.1222, loss: 0.1979 +2022-03-15 09:55:00,596 - mmseg - INFO - Iter [141150/160000] lr: 1.692e-07, eta: 4:35:25, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 75.0683, aux.loss_ce: 0.0677, aux.acc_seg: 73.7604, loss: 0.1874 +2022-03-15 09:55:44,051 - mmseg - INFO - Iter [141200/160000] lr: 1.687e-07, eta: 4:34:42, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 75.0676, aux.loss_ce: 0.0703, aux.acc_seg: 73.6485, loss: 0.1934 +2022-03-15 09:56:27,466 - mmseg - INFO - Iter [141250/160000] lr: 1.683e-07, eta: 4:33:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 76.4967, aux.loss_ce: 0.0695, aux.acc_seg: 75.2359, loss: 0.1956 +2022-03-15 09:57:10,634 - mmseg - INFO - Iter [141300/160000] lr: 1.678e-07, eta: 4:33:14, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1274, decode.acc_seg: 76.9149, aux.loss_ce: 0.0707, aux.acc_seg: 75.5684, loss: 0.1982 +2022-03-15 09:57:54,053 - mmseg - INFO - Iter [141350/160000] lr: 1.674e-07, eta: 4:32:30, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1213, decode.acc_seg: 77.5236, aux.loss_ce: 0.0690, aux.acc_seg: 76.1991, loss: 0.1903 +2022-03-15 09:58:37,820 - mmseg - INFO - Iter [141400/160000] lr: 1.669e-07, eta: 4:31:46, time: 0.876, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 76.1907, aux.loss_ce: 0.0685, aux.acc_seg: 74.9301, loss: 0.1892 +2022-03-15 09:59:21,484 - mmseg - INFO - Iter [141450/160000] lr: 1.665e-07, eta: 4:31:02, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1316, decode.acc_seg: 76.7986, aux.loss_ce: 0.0741, aux.acc_seg: 75.3861, loss: 0.2056 +2022-03-15 10:00:08,014 - mmseg - INFO - Iter [141500/160000] lr: 1.660e-07, eta: 4:30:19, time: 0.931, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1233, decode.acc_seg: 76.4548, aux.loss_ce: 0.0688, aux.acc_seg: 75.1524, loss: 0.1921 +2022-03-15 10:00:51,337 - mmseg - INFO - Iter [141550/160000] lr: 1.656e-07, eta: 4:29:35, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1301, decode.acc_seg: 75.9885, aux.loss_ce: 0.0720, aux.acc_seg: 74.6627, loss: 0.2021 +2022-03-15 10:01:34,713 - mmseg - INFO - Iter [141600/160000] lr: 1.651e-07, eta: 4:28:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 76.2943, aux.loss_ce: 0.0708, aux.acc_seg: 74.9397, loss: 0.1979 +2022-03-15 10:02:18,111 - mmseg - INFO - Iter [141650/160000] lr: 1.647e-07, eta: 4:28:07, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 75.9624, aux.loss_ce: 0.0704, aux.acc_seg: 74.5616, loss: 0.1940 +2022-03-15 10:03:01,716 - mmseg - INFO - Iter [141700/160000] lr: 1.642e-07, eta: 4:27:23, time: 0.872, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1289, decode.acc_seg: 76.7598, aux.loss_ce: 0.0710, aux.acc_seg: 75.5510, loss: 0.1999 +2022-03-15 10:03:45,316 - mmseg - INFO - Iter [141750/160000] lr: 1.638e-07, eta: 4:26:39, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 76.6171, aux.loss_ce: 0.0655, aux.acc_seg: 75.4708, loss: 0.1847 +2022-03-15 10:04:28,787 - mmseg - INFO - Iter [141800/160000] lr: 1.633e-07, eta: 4:25:55, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1272, decode.acc_seg: 76.8912, aux.loss_ce: 0.0705, aux.acc_seg: 75.6069, loss: 0.1977 +2022-03-15 10:05:12,420 - mmseg - INFO - Iter [141850/160000] lr: 1.629e-07, eta: 4:25:12, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 76.1134, aux.loss_ce: 0.0673, aux.acc_seg: 74.7255, loss: 0.1870 +2022-03-15 10:05:56,139 - mmseg - INFO - Iter [141900/160000] lr: 1.624e-07, eta: 4:24:28, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 77.4292, aux.loss_ce: 0.0695, aux.acc_seg: 76.1758, loss: 0.1938 +2022-03-15 10:06:39,461 - mmseg - INFO - Iter [141950/160000] lr: 1.620e-07, eta: 4:23:44, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1285, decode.acc_seg: 76.3221, aux.loss_ce: 0.0718, aux.acc_seg: 74.9368, loss: 0.2003 +2022-03-15 10:07:22,954 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 10:07:22,958 - mmseg - INFO - Iter [142000/160000] lr: 1.615e-07, eta: 4:23:00, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1193, decode.acc_seg: 77.9097, aux.loss_ce: 0.0674, aux.acc_seg: 76.5584, loss: 0.1867 +2022-03-15 10:08:06,326 - mmseg - INFO - Iter [142050/160000] lr: 1.611e-07, eta: 4:22:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1223, decode.acc_seg: 77.3183, aux.loss_ce: 0.0679, aux.acc_seg: 75.9549, loss: 0.1902 +2022-03-15 10:08:49,754 - mmseg - INFO - Iter [142100/160000] lr: 1.606e-07, eta: 4:21:32, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1194, decode.acc_seg: 76.4111, aux.loss_ce: 0.0677, aux.acc_seg: 75.0313, loss: 0.1870 +2022-03-15 10:09:32,968 - mmseg - INFO - Iter [142150/160000] lr: 1.602e-07, eta: 4:20:48, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 75.4601, aux.loss_ce: 0.0692, aux.acc_seg: 74.1698, loss: 0.1941 +2022-03-15 10:10:16,394 - mmseg - INFO - Iter [142200/160000] lr: 1.597e-07, eta: 4:20:04, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1336, decode.acc_seg: 74.8986, aux.loss_ce: 0.0739, aux.acc_seg: 73.4913, loss: 0.2075 +2022-03-15 10:10:59,898 - mmseg - INFO - Iter [142250/160000] lr: 1.593e-07, eta: 4:19:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 75.3746, aux.loss_ce: 0.0673, aux.acc_seg: 74.0161, loss: 0.1879 +2022-03-15 10:11:43,563 - mmseg - INFO - Iter [142300/160000] lr: 1.588e-07, eta: 4:18:37, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 75.4943, aux.loss_ce: 0.0677, aux.acc_seg: 74.1783, loss: 0.1883 +2022-03-15 10:12:26,885 - mmseg - INFO - Iter [142350/160000] lr: 1.584e-07, eta: 4:17:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 76.4895, aux.loss_ce: 0.0699, aux.acc_seg: 75.2005, loss: 0.1930 +2022-03-15 10:13:10,703 - mmseg - INFO - Iter [142400/160000] lr: 1.579e-07, eta: 4:17:09, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1298, decode.acc_seg: 76.5736, aux.loss_ce: 0.0732, aux.acc_seg: 75.1147, loss: 0.2030 +2022-03-15 10:13:54,172 - mmseg - INFO - Iter [142450/160000] lr: 1.575e-07, eta: 4:16:25, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1301, decode.acc_seg: 75.5877, aux.loss_ce: 0.0733, aux.acc_seg: 74.1773, loss: 0.2034 +2022-03-15 10:14:37,519 - mmseg - INFO - Iter [142500/160000] lr: 1.570e-07, eta: 4:15:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 76.6935, aux.loss_ce: 0.0683, aux.acc_seg: 75.3713, loss: 0.1898 +2022-03-15 10:15:20,896 - mmseg - INFO - Iter [142550/160000] lr: 1.566e-07, eta: 4:14:57, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1191, decode.acc_seg: 75.5195, aux.loss_ce: 0.0661, aux.acc_seg: 74.2990, loss: 0.1852 +2022-03-15 10:16:04,588 - mmseg - INFO - Iter [142600/160000] lr: 1.562e-07, eta: 4:14:13, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 77.5469, aux.loss_ce: 0.0683, aux.acc_seg: 76.3327, loss: 0.1919 +2022-03-15 10:16:48,049 - mmseg - INFO - Iter [142650/160000] lr: 1.557e-07, eta: 4:13:29, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1234, decode.acc_seg: 76.4823, aux.loss_ce: 0.0692, aux.acc_seg: 75.1643, loss: 0.1927 +2022-03-15 10:17:31,370 - mmseg - INFO - Iter [142700/160000] lr: 1.553e-07, eta: 4:12:46, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1216, decode.acc_seg: 76.9660, aux.loss_ce: 0.0689, aux.acc_seg: 75.6071, loss: 0.1905 +2022-03-15 10:18:17,231 - mmseg - INFO - Iter [142750/160000] lr: 1.548e-07, eta: 4:12:02, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1382, decode.acc_seg: 77.2781, aux.loss_ce: 0.0774, aux.acc_seg: 75.7552, loss: 0.2156 +2022-03-15 10:19:00,792 - mmseg - INFO - Iter [142800/160000] lr: 1.544e-07, eta: 4:11:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 77.0176, aux.loss_ce: 0.0738, aux.acc_seg: 75.6320, loss: 0.2063 +2022-03-15 10:19:44,371 - mmseg - INFO - Iter [142850/160000] lr: 1.539e-07, eta: 4:10:34, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1280, decode.acc_seg: 75.9179, aux.loss_ce: 0.0710, aux.acc_seg: 74.5754, loss: 0.1990 +2022-03-15 10:20:27,888 - mmseg - INFO - Iter [142900/160000] lr: 1.535e-07, eta: 4:09:50, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1304, decode.acc_seg: 76.8072, aux.loss_ce: 0.0721, aux.acc_seg: 75.4849, loss: 0.2025 +2022-03-15 10:21:11,173 - mmseg - INFO - Iter [142950/160000] lr: 1.530e-07, eta: 4:09:07, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.8855, aux.loss_ce: 0.0714, aux.acc_seg: 75.4313, loss: 0.1959 +2022-03-15 10:21:54,409 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 10:21:54,412 - mmseg - INFO - Iter [143000/160000] lr: 1.526e-07, eta: 4:08:23, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 76.3514, aux.loss_ce: 0.0682, aux.acc_seg: 75.0269, loss: 0.1900 +2022-03-15 10:22:37,756 - mmseg - INFO - Iter [143050/160000] lr: 1.521e-07, eta: 4:07:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1209, decode.acc_seg: 76.4972, aux.loss_ce: 0.0675, aux.acc_seg: 75.2288, loss: 0.1885 +2022-03-15 10:23:21,065 - mmseg - INFO - Iter [143100/160000] lr: 1.517e-07, eta: 4:06:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1171, decode.acc_seg: 76.4769, aux.loss_ce: 0.0674, aux.acc_seg: 75.0480, loss: 0.1846 +2022-03-15 10:24:04,554 - mmseg - INFO - Iter [143150/160000] lr: 1.512e-07, eta: 4:06:11, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 74.9580, aux.loss_ce: 0.0677, aux.acc_seg: 73.6281, loss: 0.1877 +2022-03-15 10:24:47,884 - mmseg - INFO - Iter [143200/160000] lr: 1.508e-07, eta: 4:05:27, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 77.3504, aux.loss_ce: 0.0697, aux.acc_seg: 76.0920, loss: 0.1938 +2022-03-15 10:25:31,391 - mmseg - INFO - Iter [143250/160000] lr: 1.503e-07, eta: 4:04:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 76.8459, aux.loss_ce: 0.0700, aux.acc_seg: 75.5594, loss: 0.1963 +2022-03-15 10:26:14,744 - mmseg - INFO - Iter [143300/160000] lr: 1.499e-07, eta: 4:03:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1335, decode.acc_seg: 77.0049, aux.loss_ce: 0.0730, aux.acc_seg: 75.8079, loss: 0.2065 +2022-03-15 10:26:58,142 - mmseg - INFO - Iter [143350/160000] lr: 1.494e-07, eta: 4:03:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1240, decode.acc_seg: 76.2667, aux.loss_ce: 0.0692, aux.acc_seg: 74.9758, loss: 0.1932 +2022-03-15 10:27:41,264 - mmseg - INFO - Iter [143400/160000] lr: 1.490e-07, eta: 4:02:32, time: 0.862, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1310, decode.acc_seg: 76.0866, aux.loss_ce: 0.0754, aux.acc_seg: 74.6458, loss: 0.2064 +2022-03-15 10:28:24,811 - mmseg - INFO - Iter [143450/160000] lr: 1.485e-07, eta: 4:01:48, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1180, decode.acc_seg: 75.9071, aux.loss_ce: 0.0650, aux.acc_seg: 74.7460, loss: 0.1830 +2022-03-15 10:29:08,342 - mmseg - INFO - Iter [143500/160000] lr: 1.481e-07, eta: 4:01:04, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1303, decode.acc_seg: 76.0941, aux.loss_ce: 0.0727, aux.acc_seg: 74.6964, loss: 0.2030 +2022-03-15 10:29:51,896 - mmseg - INFO - Iter [143550/160000] lr: 1.476e-07, eta: 4:00:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1293, decode.acc_seg: 78.3095, aux.loss_ce: 0.0726, aux.acc_seg: 76.9086, loss: 0.2019 +2022-03-15 10:30:35,449 - mmseg - INFO - Iter [143600/160000] lr: 1.472e-07, eta: 3:59:36, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1248, decode.acc_seg: 77.4140, aux.loss_ce: 0.0716, aux.acc_seg: 76.0127, loss: 0.1963 +2022-03-15 10:31:19,024 - mmseg - INFO - Iter [143650/160000] lr: 1.467e-07, eta: 3:58:52, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1278, decode.acc_seg: 76.3989, aux.loss_ce: 0.0722, aux.acc_seg: 74.9586, loss: 0.2000 +2022-03-15 10:32:02,324 - mmseg - INFO - Iter [143700/160000] lr: 1.463e-07, eta: 3:58:08, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1267, decode.acc_seg: 77.1247, aux.loss_ce: 0.0709, aux.acc_seg: 75.8314, loss: 0.1976 +2022-03-15 10:32:45,861 - mmseg - INFO - Iter [143750/160000] lr: 1.458e-07, eta: 3:57:24, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1185, decode.acc_seg: 75.7810, aux.loss_ce: 0.0667, aux.acc_seg: 74.5378, loss: 0.1853 +2022-03-15 10:33:29,332 - mmseg - INFO - Iter [143800/160000] lr: 1.454e-07, eta: 3:56:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1222, decode.acc_seg: 76.0012, aux.loss_ce: 0.0692, aux.acc_seg: 74.6501, loss: 0.1914 +2022-03-15 10:34:12,983 - mmseg - INFO - Iter [143850/160000] lr: 1.449e-07, eta: 3:55:57, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1194, decode.acc_seg: 76.7314, aux.loss_ce: 0.0667, aux.acc_seg: 75.4995, loss: 0.1861 +2022-03-15 10:34:56,766 - mmseg - INFO - Iter [143900/160000] lr: 1.445e-07, eta: 3:55:13, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 75.6064, aux.loss_ce: 0.0675, aux.acc_seg: 74.4102, loss: 0.1893 +2022-03-15 10:35:40,283 - mmseg - INFO - Iter [143950/160000] lr: 1.440e-07, eta: 3:54:29, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 75.7396, aux.loss_ce: 0.0675, aux.acc_seg: 74.3409, loss: 0.1872 +2022-03-15 10:36:25,986 - mmseg - INFO - Saving checkpoint at 144000 iterations +2022-03-15 10:36:35,972 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 10:36:35,972 - mmseg - INFO - Iter [144000/160000] lr: 1.436e-07, eta: 3:53:46, time: 1.113, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 77.2861, aux.loss_ce: 0.0728, aux.acc_seg: 75.8796, loss: 0.2011 +2022-03-15 10:37:58,748 - mmseg - INFO - per class results: +2022-03-15 10:37:58,757 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.89 | 89.68 | +| building | 84.24 | 93.99 | +| sky | 94.84 | 97.22 | +| floor | 84.14 | 91.97 | +| tree | 76.77 | 88.8 | +| ceiling | 86.63 | 94.12 | +| road | 85.5 | 91.25 | +| bed | 92.47 | 97.52 | +| windowpane | 64.42 | 78.72 | +| grass | 68.77 | 82.81 | +| cabinet | 66.54 | 77.46 | +| sidewalk | 70.53 | 85.35 | +| person | 85.07 | 94.4 | +| earth | 38.25 | 50.61 | +| door | 56.81 | 72.09 | +| table | 70.12 | 81.88 | +| mountain | 63.08 | 74.1 | +| plant | 54.69 | 66.67 | +| curtain | 77.22 | 89.22 | +| chair | 64.96 | 75.62 | +| car | 87.59 | 93.9 | +| water | 64.08 | 78.88 | +| painting | 75.76 | 91.98 | +| sofa | 79.76 | 90.49 | +| shelf | 48.14 | 65.25 | +| house | 51.05 | 61.93 | +| sea | 68.74 | 79.19 | +| mirror | 76.83 | 83.71 | +| rug | 66.92 | 77.69 | +| field | 34.81 | 52.17 | +| armchair | 57.53 | 74.87 | +| seat | 64.85 | 88.33 | +| fence | 45.61 | 59.43 | +| desk | 57.37 | 78.62 | +| rock | 57.33 | 87.76 | +| wardrobe | 56.01 | 71.35 | +| lamp | 73.5 | 84.03 | +| bathtub | 84.85 | 88.44 | +| railing | 40.05 | 55.87 | +| cushion | 66.81 | 79.69 | +| base | 48.47 | 60.0 | +| box | 37.87 | 47.17 | +| column | 52.47 | 66.27 | +| signboard | 40.85 | 53.48 | +| chest of drawers | 41.77 | 61.82 | +| counter | 57.58 | 65.05 | +| sand | 55.25 | 84.46 | +| sink | 81.4 | 87.71 | +| skyscraper | 46.13 | 58.53 | +| fireplace | 78.77 | 93.45 | +| refrigerator | 79.14 | 87.92 | +| grandstand | 53.41 | 85.4 | +| path | 22.24 | 30.86 | +| stairs | 31.08 | 36.57 | +| runway | 71.2 | 94.47 | +| case | 61.54 | 81.95 | +| pool table | 94.92 | 98.07 | +| pillow | 66.0 | 75.64 | +| screen door | 79.97 | 86.01 | +| stairway | 37.24 | 50.31 | +| river | 10.28 | 24.72 | +| bridge | 72.95 | 87.63 | +| bookcase | 50.03 | 72.06 | +| blind | 42.84 | 46.91 | +| coffee table | 65.93 | 86.69 | +| toilet | 89.88 | 93.66 | +| flower | 50.44 | 66.52 | +| book | 52.75 | 71.16 | +| hill | 10.39 | 14.86 | +| bench | 54.06 | 60.85 | +| countertop | 63.72 | 82.65 | +| stove | 82.22 | 90.1 | +| palm | 54.58 | 85.77 | +| kitchen island | 49.19 | 78.41 | +| computer | 80.68 | 90.13 | +| swivel chair | 44.73 | 69.03 | +| boat | 71.83 | 91.67 | +| bar | 68.61 | 84.38 | +| arcade machine | 87.68 | 91.54 | +| hovel | 51.15 | 53.34 | +| bus | 93.32 | 97.18 | +| towel | 73.28 | 81.02 | +| light | 60.92 | 70.49 | +| truck | 50.01 | 63.4 | +| tower | 37.2 | 63.05 | +| chandelier | 72.39 | 84.74 | +| awning | 36.86 | 45.32 | +| streetlight | 37.62 | 48.96 | +| booth | 61.13 | 67.01 | +| television receiver | 80.92 | 90.79 | +| airplane | 70.12 | 78.34 | +| dirt track | 0.11 | 0.6 | +| apparel | 50.97 | 67.09 | +| pole | 32.56 | 44.23 | +| land | 1.29 | 1.66 | +| bannister | 18.08 | 25.28 | +| escalator | 57.94 | 84.74 | +| ottoman | 50.28 | 68.23 | +| bottle | 42.89 | 71.4 | +| buffet | 60.6 | 70.74 | +| poster | 33.61 | 44.19 | +| stage | 19.72 | 35.14 | +| van | 43.16 | 63.26 | +| ship | 69.04 | 83.49 | +| fountain | 43.73 | 44.82 | +| conveyer belt | 84.02 | 94.88 | +| canopy | 46.35 | 64.78 | +| washer | 88.72 | 94.2 | +| plaything | 32.68 | 47.46 | +| swimming pool | 79.96 | 86.99 | +| stool | 54.98 | 68.51 | +| barrel | 77.9 | 92.91 | +| basket | 46.53 | 60.42 | +| waterfall | 51.9 | 58.45 | +| tent | 90.17 | 98.96 | +| bag | 21.45 | 24.21 | +| minibike | 75.7 | 90.22 | +| cradle | 85.61 | 98.06 | +| oven | 55.72 | 71.18 | +| ball | 61.64 | 69.45 | +| food | 55.48 | 70.08 | +| step | 10.54 | 11.96 | +| tank | 62.5 | 66.84 | +| trade name | 24.0 | 27.63 | +| microwave | 84.39 | 95.64 | +| pot | 56.33 | 65.4 | +| animal | 65.64 | 67.17 | +| bicycle | 62.02 | 78.67 | +| lake | 55.86 | 63.76 | +| dishwasher | 74.37 | 80.44 | +| screen | 58.15 | 74.0 | +| blanket | 23.86 | 28.32 | +| sculpture | 79.84 | 88.43 | +| hood | 60.76 | 75.77 | +| sconce | 60.83 | 71.41 | +| vase | 48.56 | 65.06 | +| traffic light | 45.21 | 64.28 | +| tray | 25.68 | 33.36 | +| ashcan | 46.62 | 62.17 | +| fan | 71.88 | 83.4 | +| pier | 58.4 | 67.99 | +| crt screen | 10.24 | 24.61 | +| plate | 63.1 | 79.53 | +| monitor | 32.79 | 37.61 | +| bulletin board | 46.62 | 57.96 | +| shower | 14.11 | 19.42 | +| radiator | 64.67 | 78.25 | +| glass | 23.53 | 25.33 | +| clock | 49.62 | 68.04 | +| flag | 49.41 | 55.48 | ++---------------------+-------+-------+ +2022-03-15 10:37:58,757 - mmseg - INFO - Summary: +2022-03-15 10:37:58,757 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 85.89 | 57.68 | 69.79 | ++-------+-------+-------+ +2022-03-15 10:37:58,764 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 10:37:58,764 - mmseg - INFO - Iter(val) [250] aAcc: 0.8589, mIoU: 0.5768, mAcc: 0.6979, IoU.wall: 0.8189, IoU.building: 0.8424, IoU.sky: 0.9484, IoU.floor: 0.8414, IoU.tree: 0.7677, IoU.ceiling: 0.8663, IoU.road: 0.8550, IoU.bed : 0.9247, IoU.windowpane: 0.6442, IoU.grass: 0.6877, IoU.cabinet: 0.6654, IoU.sidewalk: 0.7053, IoU.person: 0.8507, IoU.earth: 0.3825, IoU.door: 0.5681, IoU.table: 0.7012, IoU.mountain: 0.6308, IoU.plant: 0.5469, IoU.curtain: 0.7722, IoU.chair: 0.6496, IoU.car: 0.8759, IoU.water: 0.6408, IoU.painting: 0.7576, IoU.sofa: 0.7976, IoU.shelf: 0.4814, IoU.house: 0.5105, IoU.sea: 0.6874, IoU.mirror: 0.7683, IoU.rug: 0.6692, IoU.field: 0.3481, IoU.armchair: 0.5753, IoU.seat: 0.6485, IoU.fence: 0.4561, IoU.desk: 0.5737, IoU.rock: 0.5733, IoU.wardrobe: 0.5601, IoU.lamp: 0.7350, IoU.bathtub: 0.8485, IoU.railing: 0.4005, IoU.cushion: 0.6681, IoU.base: 0.4847, IoU.box: 0.3787, IoU.column: 0.5247, IoU.signboard: 0.4085, IoU.chest of drawers: 0.4177, IoU.counter: 0.5758, IoU.sand: 0.5525, IoU.sink: 0.8140, IoU.skyscraper: 0.4613, IoU.fireplace: 0.7877, IoU.refrigerator: 0.7914, IoU.grandstand: 0.5341, IoU.path: 0.2224, IoU.stairs: 0.3108, IoU.runway: 0.7120, IoU.case: 0.6154, IoU.pool table: 0.9492, IoU.pillow: 0.6600, IoU.screen door: 0.7997, IoU.stairway: 0.3724, IoU.river: 0.1028, IoU.bridge: 0.7295, IoU.bookcase: 0.5003, IoU.blind: 0.4284, IoU.coffee table: 0.6593, IoU.toilet: 0.8988, IoU.flower: 0.5044, IoU.book: 0.5275, IoU.hill: 0.1039, IoU.bench: 0.5406, IoU.countertop: 0.6372, IoU.stove: 0.8222, IoU.palm: 0.5458, IoU.kitchen island: 0.4919, IoU.computer: 0.8068, IoU.swivel chair: 0.4473, IoU.boat: 0.7183, IoU.bar: 0.6861, IoU.arcade machine: 0.8768, IoU.hovel: 0.5115, IoU.bus: 0.9332, IoU.towel: 0.7328, IoU.light: 0.6092, IoU.truck: 0.5001, IoU.tower: 0.3720, IoU.chandelier: 0.7239, IoU.awning: 0.3686, IoU.streetlight: 0.3762, IoU.booth: 0.6113, IoU.television receiver: 0.8092, IoU.airplane: 0.7012, IoU.dirt track: 0.0011, IoU.apparel: 0.5097, IoU.pole: 0.3256, IoU.land: 0.0129, IoU.bannister: 0.1808, IoU.escalator: 0.5794, IoU.ottoman: 0.5028, IoU.bottle: 0.4289, IoU.buffet: 0.6060, IoU.poster: 0.3361, IoU.stage: 0.1972, IoU.van: 0.4316, IoU.ship: 0.6904, IoU.fountain: 0.4373, IoU.conveyer belt: 0.8402, IoU.canopy: 0.4635, IoU.washer: 0.8872, IoU.plaything: 0.3268, IoU.swimming pool: 0.7996, IoU.stool: 0.5498, IoU.barrel: 0.7790, IoU.basket: 0.4653, IoU.waterfall: 0.5190, IoU.tent: 0.9017, IoU.bag: 0.2145, IoU.minibike: 0.7570, IoU.cradle: 0.8561, IoU.oven: 0.5572, IoU.ball: 0.6164, IoU.food: 0.5548, IoU.step: 0.1054, IoU.tank: 0.6250, IoU.trade name: 0.2400, IoU.microwave: 0.8439, IoU.pot: 0.5633, IoU.animal: 0.6564, IoU.bicycle: 0.6202, IoU.lake: 0.5586, IoU.dishwasher: 0.7437, IoU.screen: 0.5815, IoU.blanket: 0.2386, IoU.sculpture: 0.7984, IoU.hood: 0.6076, IoU.sconce: 0.6083, IoU.vase: 0.4856, IoU.traffic light: 0.4521, IoU.tray: 0.2568, IoU.ashcan: 0.4662, IoU.fan: 0.7188, IoU.pier: 0.5840, IoU.crt screen: 0.1024, IoU.plate: 0.6310, IoU.monitor: 0.3279, IoU.bulletin board: 0.4662, IoU.shower: 0.1411, IoU.radiator: 0.6467, IoU.glass: 0.2353, IoU.clock: 0.4962, IoU.flag: 0.4941, Acc.wall: 0.8968, Acc.building: 0.9399, Acc.sky: 0.9722, Acc.floor: 0.9197, Acc.tree: 0.8880, Acc.ceiling: 0.9412, Acc.road: 0.9125, Acc.bed : 0.9752, Acc.windowpane: 0.7872, Acc.grass: 0.8281, Acc.cabinet: 0.7746, Acc.sidewalk: 0.8535, Acc.person: 0.9440, Acc.earth: 0.5061, Acc.door: 0.7209, Acc.table: 0.8188, Acc.mountain: 0.7410, Acc.plant: 0.6667, Acc.curtain: 0.8922, Acc.chair: 0.7562, Acc.car: 0.9390, Acc.water: 0.7888, Acc.painting: 0.9198, Acc.sofa: 0.9049, Acc.shelf: 0.6525, Acc.house: 0.6193, Acc.sea: 0.7919, Acc.mirror: 0.8371, Acc.rug: 0.7769, Acc.field: 0.5217, Acc.armchair: 0.7487, Acc.seat: 0.8833, Acc.fence: 0.5943, Acc.desk: 0.7862, Acc.rock: 0.8776, Acc.wardrobe: 0.7135, Acc.lamp: 0.8403, Acc.bathtub: 0.8844, Acc.railing: 0.5587, Acc.cushion: 0.7969, Acc.base: 0.6000, Acc.box: 0.4717, Acc.column: 0.6627, Acc.signboard: 0.5348, Acc.chest of drawers: 0.6182, Acc.counter: 0.6505, Acc.sand: 0.8446, Acc.sink: 0.8771, Acc.skyscraper: 0.5853, Acc.fireplace: 0.9345, Acc.refrigerator: 0.8792, Acc.grandstand: 0.8540, Acc.path: 0.3086, Acc.stairs: 0.3657, Acc.runway: 0.9447, Acc.case: 0.8195, Acc.pool table: 0.9807, Acc.pillow: 0.7564, Acc.screen door: 0.8601, Acc.stairway: 0.5031, Acc.river: 0.2472, Acc.bridge: 0.8763, Acc.bookcase: 0.7206, Acc.blind: 0.4691, Acc.coffee table: 0.8669, Acc.toilet: 0.9366, Acc.flower: 0.6652, Acc.book: 0.7116, Acc.hill: 0.1486, Acc.bench: 0.6085, Acc.countertop: 0.8265, Acc.stove: 0.9010, Acc.palm: 0.8577, Acc.kitchen island: 0.7841, Acc.computer: 0.9013, Acc.swivel chair: 0.6903, Acc.boat: 0.9167, Acc.bar: 0.8438, Acc.arcade machine: 0.9154, Acc.hovel: 0.5334, Acc.bus: 0.9718, Acc.towel: 0.8102, Acc.light: 0.7049, Acc.truck: 0.6340, Acc.tower: 0.6305, Acc.chandelier: 0.8474, Acc.awning: 0.4532, Acc.streetlight: 0.4896, Acc.booth: 0.6701, Acc.television receiver: 0.9079, Acc.airplane: 0.7834, Acc.dirt track: 0.0060, Acc.apparel: 0.6709, Acc.pole: 0.4423, Acc.land: 0.0166, Acc.bannister: 0.2528, Acc.escalator: 0.8474, Acc.ottoman: 0.6823, Acc.bottle: 0.7140, Acc.buffet: 0.7074, Acc.poster: 0.4419, Acc.stage: 0.3514, Acc.van: 0.6326, Acc.ship: 0.8349, Acc.fountain: 0.4482, Acc.conveyer belt: 0.9488, Acc.canopy: 0.6478, Acc.washer: 0.9420, Acc.plaything: 0.4746, Acc.swimming pool: 0.8699, Acc.stool: 0.6851, Acc.barrel: 0.9291, Acc.basket: 0.6042, Acc.waterfall: 0.5845, Acc.tent: 0.9896, Acc.bag: 0.2421, Acc.minibike: 0.9022, Acc.cradle: 0.9806, Acc.oven: 0.7118, Acc.ball: 0.6945, Acc.food: 0.7008, Acc.step: 0.1196, Acc.tank: 0.6684, Acc.trade name: 0.2763, Acc.microwave: 0.9564, Acc.pot: 0.6540, Acc.animal: 0.6717, Acc.bicycle: 0.7867, Acc.lake: 0.6376, Acc.dishwasher: 0.8044, Acc.screen: 0.7400, Acc.blanket: 0.2832, Acc.sculpture: 0.8843, Acc.hood: 0.7577, Acc.sconce: 0.7141, Acc.vase: 0.6506, Acc.traffic light: 0.6428, Acc.tray: 0.3336, Acc.ashcan: 0.6217, Acc.fan: 0.8340, Acc.pier: 0.6799, Acc.crt screen: 0.2461, Acc.plate: 0.7953, Acc.monitor: 0.3761, Acc.bulletin board: 0.5796, Acc.shower: 0.1942, Acc.radiator: 0.7825, Acc.glass: 0.2533, Acc.clock: 0.6804, Acc.flag: 0.5548 +2022-03-15 10:38:42,277 - mmseg - INFO - Iter [144050/160000] lr: 1.431e-07, eta: 3:53:12, time: 2.527, data_time: 1.662, memory: 73034, decode.loss_ce: 0.1217, decode.acc_seg: 77.5507, aux.loss_ce: 0.0686, aux.acc_seg: 76.2296, loss: 0.1903 +2022-03-15 10:39:25,517 - mmseg - INFO - Iter [144100/160000] lr: 1.427e-07, eta: 3:52:28, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1198, decode.acc_seg: 76.3025, aux.loss_ce: 0.0678, aux.acc_seg: 74.9510, loss: 0.1876 +2022-03-15 10:40:08,886 - mmseg - INFO - Iter [144150/160000] lr: 1.422e-07, eta: 3:51:44, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 76.4319, aux.loss_ce: 0.0677, aux.acc_seg: 75.1448, loss: 0.1883 +2022-03-15 10:40:52,162 - mmseg - INFO - Iter [144200/160000] lr: 1.418e-07, eta: 3:51:00, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1296, decode.acc_seg: 77.7036, aux.loss_ce: 0.0742, aux.acc_seg: 76.1569, loss: 0.2038 +2022-03-15 10:41:35,491 - mmseg - INFO - Iter [144250/160000] lr: 1.413e-07, eta: 3:50:16, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1220, decode.acc_seg: 75.8330, aux.loss_ce: 0.0675, aux.acc_seg: 74.5681, loss: 0.1894 +2022-03-15 10:42:19,253 - mmseg - INFO - Iter [144300/160000] lr: 1.409e-07, eta: 3:49:32, time: 0.875, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1208, decode.acc_seg: 76.5531, aux.loss_ce: 0.0680, aux.acc_seg: 75.2758, loss: 0.1888 +2022-03-15 10:43:02,686 - mmseg - INFO - Iter [144350/160000] lr: 1.404e-07, eta: 3:48:48, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 76.3997, aux.loss_ce: 0.0681, aux.acc_seg: 75.0520, loss: 0.1878 +2022-03-15 10:43:46,261 - mmseg - INFO - Iter [144400/160000] lr: 1.400e-07, eta: 3:48:04, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 77.4202, aux.loss_ce: 0.0675, aux.acc_seg: 76.1223, loss: 0.1890 +2022-03-15 10:44:29,834 - mmseg - INFO - Iter [144450/160000] lr: 1.396e-07, eta: 3:47:21, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1234, decode.acc_seg: 76.3674, aux.loss_ce: 0.0692, aux.acc_seg: 74.9862, loss: 0.1926 +2022-03-15 10:45:13,323 - mmseg - INFO - Iter [144500/160000] lr: 1.391e-07, eta: 3:46:37, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1295, decode.acc_seg: 76.9682, aux.loss_ce: 0.0723, aux.acc_seg: 75.6163, loss: 0.2018 +2022-03-15 10:45:56,587 - mmseg - INFO - Iter [144550/160000] lr: 1.387e-07, eta: 3:45:53, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1262, decode.acc_seg: 75.0674, aux.loss_ce: 0.0706, aux.acc_seg: 73.6969, loss: 0.1968 +2022-03-15 10:46:39,819 - mmseg - INFO - Iter [144600/160000] lr: 1.382e-07, eta: 3:45:09, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1294, decode.acc_seg: 76.1950, aux.loss_ce: 0.0726, aux.acc_seg: 74.8680, loss: 0.2020 +2022-03-15 10:47:23,330 - mmseg - INFO - Iter [144650/160000] lr: 1.378e-07, eta: 3:44:25, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1258, decode.acc_seg: 76.0848, aux.loss_ce: 0.0709, aux.acc_seg: 74.7370, loss: 0.1967 +2022-03-15 10:48:06,629 - mmseg - INFO - Iter [144700/160000] lr: 1.373e-07, eta: 3:43:41, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1222, decode.acc_seg: 75.5980, aux.loss_ce: 0.0696, aux.acc_seg: 74.1624, loss: 0.1918 +2022-03-15 10:48:49,925 - mmseg - INFO - Iter [144750/160000] lr: 1.369e-07, eta: 3:42:57, time: 0.866, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 76.7724, aux.loss_ce: 0.0691, aux.acc_seg: 75.4394, loss: 0.1918 +2022-03-15 10:49:33,211 - mmseg - INFO - Iter [144800/160000] lr: 1.364e-07, eta: 3:42:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1199, decode.acc_seg: 74.9934, aux.loss_ce: 0.0675, aux.acc_seg: 73.6532, loss: 0.1874 +2022-03-15 10:50:16,597 - mmseg - INFO - Iter [144850/160000] lr: 1.360e-07, eta: 3:41:29, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 76.4682, aux.loss_ce: 0.0699, aux.acc_seg: 75.1549, loss: 0.1931 +2022-03-15 10:51:00,074 - mmseg - INFO - Iter [144900/160000] lr: 1.355e-07, eta: 3:40:45, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1270, decode.acc_seg: 76.7588, aux.loss_ce: 0.0701, aux.acc_seg: 75.4985, loss: 0.1970 +2022-03-15 10:51:43,374 - mmseg - INFO - Iter [144950/160000] lr: 1.351e-07, eta: 3:40:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1179, decode.acc_seg: 75.5369, aux.loss_ce: 0.0663, aux.acc_seg: 74.2851, loss: 0.1842 +2022-03-15 10:52:27,146 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 10:52:27,147 - mmseg - INFO - Iter [145000/160000] lr: 1.346e-07, eta: 3:39:18, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 78.8079, aux.loss_ce: 0.0688, aux.acc_seg: 77.6181, loss: 0.1945 +2022-03-15 10:53:10,554 - mmseg - INFO - Iter [145050/160000] lr: 1.342e-07, eta: 3:38:34, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1202, decode.acc_seg: 76.7538, aux.loss_ce: 0.0670, aux.acc_seg: 75.4430, loss: 0.1872 +2022-03-15 10:53:53,807 - mmseg - INFO - Iter [145100/160000] lr: 1.337e-07, eta: 3:37:50, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 77.2990, aux.loss_ce: 0.0687, aux.acc_seg: 76.0031, loss: 0.1919 +2022-03-15 10:54:37,433 - mmseg - INFO - Iter [145150/160000] lr: 1.333e-07, eta: 3:37:06, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1182, decode.acc_seg: 75.2402, aux.loss_ce: 0.0671, aux.acc_seg: 73.9551, loss: 0.1853 +2022-03-15 10:55:20,942 - mmseg - INFO - Iter [145200/160000] lr: 1.328e-07, eta: 3:36:22, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 75.8186, aux.loss_ce: 0.0698, aux.acc_seg: 74.6012, loss: 0.1962 +2022-03-15 10:56:06,855 - mmseg - INFO - Iter [145250/160000] lr: 1.324e-07, eta: 3:35:38, time: 0.918, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 76.4971, aux.loss_ce: 0.0711, aux.acc_seg: 75.1454, loss: 0.1975 +2022-03-15 10:56:50,193 - mmseg - INFO - Iter [145300/160000] lr: 1.319e-07, eta: 3:34:54, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 76.6687, aux.loss_ce: 0.0702, aux.acc_seg: 75.2556, loss: 0.1937 +2022-03-15 10:57:33,808 - mmseg - INFO - Iter [145350/160000] lr: 1.315e-07, eta: 3:34:10, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1213, decode.acc_seg: 76.8372, aux.loss_ce: 0.0688, aux.acc_seg: 75.4078, loss: 0.1901 +2022-03-15 10:58:16,975 - mmseg - INFO - Iter [145400/160000] lr: 1.310e-07, eta: 3:33:27, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1181, decode.acc_seg: 76.9319, aux.loss_ce: 0.0668, aux.acc_seg: 75.6664, loss: 0.1850 +2022-03-15 10:59:00,229 - mmseg - INFO - Iter [145450/160000] lr: 1.306e-07, eta: 3:32:43, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1284, decode.acc_seg: 77.2013, aux.loss_ce: 0.0720, aux.acc_seg: 75.8415, loss: 0.2004 +2022-03-15 10:59:43,899 - mmseg - INFO - Iter [145500/160000] lr: 1.301e-07, eta: 3:31:59, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1219, decode.acc_seg: 77.5200, aux.loss_ce: 0.0687, aux.acc_seg: 76.1859, loss: 0.1906 +2022-03-15 11:00:27,405 - mmseg - INFO - Iter [145550/160000] lr: 1.297e-07, eta: 3:31:15, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1158, decode.acc_seg: 76.1102, aux.loss_ce: 0.0645, aux.acc_seg: 74.9437, loss: 0.1802 +2022-03-15 11:01:10,646 - mmseg - INFO - Iter [145600/160000] lr: 1.292e-07, eta: 3:30:31, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1278, decode.acc_seg: 76.2398, aux.loss_ce: 0.0722, aux.acc_seg: 74.7354, loss: 0.2000 +2022-03-15 11:01:53,989 - mmseg - INFO - Iter [145650/160000] lr: 1.288e-07, eta: 3:29:47, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1316, decode.acc_seg: 77.1148, aux.loss_ce: 0.0737, aux.acc_seg: 75.6772, loss: 0.2053 +2022-03-15 11:02:37,218 - mmseg - INFO - Iter [145700/160000] lr: 1.283e-07, eta: 3:29:03, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1199, decode.acc_seg: 76.5727, aux.loss_ce: 0.0685, aux.acc_seg: 75.1656, loss: 0.1884 +2022-03-15 11:03:20,423 - mmseg - INFO - Iter [145750/160000] lr: 1.279e-07, eta: 3:28:19, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1201, decode.acc_seg: 76.4118, aux.loss_ce: 0.0672, aux.acc_seg: 75.0820, loss: 0.1873 +2022-03-15 11:04:03,773 - mmseg - INFO - Iter [145800/160000] lr: 1.274e-07, eta: 3:27:35, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 76.6363, aux.loss_ce: 0.0679, aux.acc_seg: 75.3378, loss: 0.1891 +2022-03-15 11:04:47,131 - mmseg - INFO - Iter [145850/160000] lr: 1.270e-07, eta: 3:26:51, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1326, decode.acc_seg: 76.5543, aux.loss_ce: 0.0737, aux.acc_seg: 75.2442, loss: 0.2062 +2022-03-15 11:05:30,659 - mmseg - INFO - Iter [145900/160000] lr: 1.265e-07, eta: 3:26:07, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1226, decode.acc_seg: 76.8574, aux.loss_ce: 0.0697, aux.acc_seg: 75.4598, loss: 0.1923 +2022-03-15 11:06:13,947 - mmseg - INFO - Iter [145950/160000] lr: 1.261e-07, eta: 3:25:24, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 77.6563, aux.loss_ce: 0.0689, aux.acc_seg: 76.2488, loss: 0.1901 +2022-03-15 11:06:57,268 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 11:06:57,273 - mmseg - INFO - Iter [146000/160000] lr: 1.256e-07, eta: 3:24:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 77.2168, aux.loss_ce: 0.0728, aux.acc_seg: 75.8495, loss: 0.2025 +2022-03-15 11:07:40,763 - mmseg - INFO - Iter [146050/160000] lr: 1.252e-07, eta: 3:23:56, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 76.6595, aux.loss_ce: 0.0687, aux.acc_seg: 75.3762, loss: 0.1928 +2022-03-15 11:08:24,038 - mmseg - INFO - Iter [146100/160000] lr: 1.247e-07, eta: 3:23:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 76.5560, aux.loss_ce: 0.0687, aux.acc_seg: 75.2044, loss: 0.1893 +2022-03-15 11:09:07,293 - mmseg - INFO - Iter [146150/160000] lr: 1.243e-07, eta: 3:22:28, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 75.8795, aux.loss_ce: 0.0695, aux.acc_seg: 74.5029, loss: 0.1934 +2022-03-15 11:09:50,705 - mmseg - INFO - Iter [146200/160000] lr: 1.238e-07, eta: 3:21:44, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 75.2208, aux.loss_ce: 0.0675, aux.acc_seg: 73.8860, loss: 0.1881 +2022-03-15 11:10:34,083 - mmseg - INFO - Iter [146250/160000] lr: 1.234e-07, eta: 3:21:00, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 74.1852, aux.loss_ce: 0.0690, aux.acc_seg: 72.8569, loss: 0.1935 +2022-03-15 11:11:17,596 - mmseg - INFO - Iter [146300/160000] lr: 1.229e-07, eta: 3:20:16, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1250, decode.acc_seg: 77.4488, aux.loss_ce: 0.0711, aux.acc_seg: 76.0753, loss: 0.1962 +2022-03-15 11:12:01,139 - mmseg - INFO - Iter [146350/160000] lr: 1.225e-07, eta: 3:19:32, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 76.7524, aux.loss_ce: 0.0700, aux.acc_seg: 75.4104, loss: 0.1935 +2022-03-15 11:12:44,401 - mmseg - INFO - Iter [146400/160000] lr: 1.221e-07, eta: 3:18:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 76.7619, aux.loss_ce: 0.0706, aux.acc_seg: 75.4624, loss: 0.1975 +2022-03-15 11:13:27,745 - mmseg - INFO - Iter [146450/160000] lr: 1.216e-07, eta: 3:18:05, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1132, decode.acc_seg: 77.6059, aux.loss_ce: 0.0644, aux.acc_seg: 76.3895, loss: 0.1776 +2022-03-15 11:14:10,969 - mmseg - INFO - Iter [146500/160000] lr: 1.212e-07, eta: 3:17:21, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1288, decode.acc_seg: 76.7961, aux.loss_ce: 0.0724, aux.acc_seg: 75.3228, loss: 0.2011 +2022-03-15 11:14:56,674 - mmseg - INFO - Iter [146550/160000] lr: 1.207e-07, eta: 3:16:37, time: 0.914, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 75.8537, aux.loss_ce: 0.0677, aux.acc_seg: 74.5203, loss: 0.1884 +2022-03-15 11:15:40,070 - mmseg - INFO - Iter [146600/160000] lr: 1.203e-07, eta: 3:15:53, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1219, decode.acc_seg: 77.6373, aux.loss_ce: 0.0684, aux.acc_seg: 76.3397, loss: 0.1903 +2022-03-15 11:16:23,747 - mmseg - INFO - Iter [146650/160000] lr: 1.198e-07, eta: 3:15:09, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 76.3450, aux.loss_ce: 0.0687, aux.acc_seg: 75.0185, loss: 0.1919 +2022-03-15 11:17:07,062 - mmseg - INFO - Iter [146700/160000] lr: 1.194e-07, eta: 3:14:25, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 76.1349, aux.loss_ce: 0.0679, aux.acc_seg: 74.7622, loss: 0.1879 +2022-03-15 11:17:50,688 - mmseg - INFO - Iter [146750/160000] lr: 1.189e-07, eta: 3:13:41, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1195, decode.acc_seg: 76.3677, aux.loss_ce: 0.0681, aux.acc_seg: 75.0021, loss: 0.1876 +2022-03-15 11:18:34,017 - mmseg - INFO - Iter [146800/160000] lr: 1.185e-07, eta: 3:12:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1184, decode.acc_seg: 77.1689, aux.loss_ce: 0.0661, aux.acc_seg: 75.9332, loss: 0.1844 +2022-03-15 11:19:17,395 - mmseg - INFO - Iter [146850/160000] lr: 1.180e-07, eta: 3:12:14, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1174, decode.acc_seg: 76.6301, aux.loss_ce: 0.0671, aux.acc_seg: 75.2833, loss: 0.1845 +2022-03-15 11:20:00,952 - mmseg - INFO - Iter [146900/160000] lr: 1.176e-07, eta: 3:11:30, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1217, decode.acc_seg: 77.0478, aux.loss_ce: 0.0688, aux.acc_seg: 75.6288, loss: 0.1905 +2022-03-15 11:20:44,197 - mmseg - INFO - Iter [146950/160000] lr: 1.171e-07, eta: 3:10:46, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.6756, aux.loss_ce: 0.0691, aux.acc_seg: 75.3747, loss: 0.1936 +2022-03-15 11:21:27,581 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 11:21:27,586 - mmseg - INFO - Iter [147000/160000] lr: 1.167e-07, eta: 3:10:02, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 76.8776, aux.loss_ce: 0.0669, aux.acc_seg: 75.6398, loss: 0.1884 +2022-03-15 11:22:11,148 - mmseg - INFO - Iter [147050/160000] lr: 1.162e-07, eta: 3:09:18, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1213, decode.acc_seg: 75.3027, aux.loss_ce: 0.0689, aux.acc_seg: 73.8520, loss: 0.1903 +2022-03-15 11:22:54,650 - mmseg - INFO - Iter [147100/160000] lr: 1.158e-07, eta: 3:08:34, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1244, decode.acc_seg: 76.6830, aux.loss_ce: 0.0692, aux.acc_seg: 75.3763, loss: 0.1936 +2022-03-15 11:23:38,287 - mmseg - INFO - Iter [147150/160000] lr: 1.153e-07, eta: 3:07:50, time: 0.873, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1236, decode.acc_seg: 76.9852, aux.loss_ce: 0.0689, aux.acc_seg: 75.7402, loss: 0.1925 +2022-03-15 11:24:21,705 - mmseg - INFO - Iter [147200/160000] lr: 1.149e-07, eta: 3:07:06, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 77.3153, aux.loss_ce: 0.0704, aux.acc_seg: 75.9453, loss: 0.1936 +2022-03-15 11:25:05,112 - mmseg - INFO - Iter [147250/160000] lr: 1.144e-07, eta: 3:06:22, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1308, decode.acc_seg: 76.7445, aux.loss_ce: 0.0729, aux.acc_seg: 75.3372, loss: 0.2037 +2022-03-15 11:25:48,449 - mmseg - INFO - Iter [147300/160000] lr: 1.140e-07, eta: 3:05:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1277, decode.acc_seg: 76.9426, aux.loss_ce: 0.0711, aux.acc_seg: 75.5761, loss: 0.1987 +2022-03-15 11:26:32,043 - mmseg - INFO - Iter [147350/160000] lr: 1.135e-07, eta: 3:04:55, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1251, decode.acc_seg: 77.1708, aux.loss_ce: 0.0701, aux.acc_seg: 75.8784, loss: 0.1952 +2022-03-15 11:27:15,346 - mmseg - INFO - Iter [147400/160000] lr: 1.131e-07, eta: 3:04:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1184, decode.acc_seg: 75.0619, aux.loss_ce: 0.0671, aux.acc_seg: 73.6944, loss: 0.1856 +2022-03-15 11:27:58,608 - mmseg - INFO - Iter [147450/160000] lr: 1.126e-07, eta: 3:03:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1277, decode.acc_seg: 76.9156, aux.loss_ce: 0.0725, aux.acc_seg: 75.5246, loss: 0.2002 +2022-03-15 11:28:41,961 - mmseg - INFO - Iter [147500/160000] lr: 1.122e-07, eta: 3:02:43, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1146, decode.acc_seg: 74.7198, aux.loss_ce: 0.0641, aux.acc_seg: 73.4387, loss: 0.1788 +2022-03-15 11:29:25,097 - mmseg - INFO - Iter [147550/160000] lr: 1.117e-07, eta: 3:01:59, time: 0.863, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1183, decode.acc_seg: 76.4749, aux.loss_ce: 0.0680, aux.acc_seg: 74.9914, loss: 0.1863 +2022-03-15 11:30:08,299 - mmseg - INFO - Iter [147600/160000] lr: 1.113e-07, eta: 3:01:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1196, decode.acc_seg: 77.3470, aux.loss_ce: 0.0674, aux.acc_seg: 76.0572, loss: 0.1870 +2022-03-15 11:30:51,618 - mmseg - INFO - Iter [147650/160000] lr: 1.108e-07, eta: 3:00:31, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1241, decode.acc_seg: 75.5379, aux.loss_ce: 0.0702, aux.acc_seg: 74.2430, loss: 0.1943 +2022-03-15 11:31:35,123 - mmseg - INFO - Iter [147700/160000] lr: 1.104e-07, eta: 2:59:47, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1152, decode.acc_seg: 75.4550, aux.loss_ce: 0.0645, aux.acc_seg: 74.2396, loss: 0.1798 +2022-03-15 11:32:18,712 - mmseg - INFO - Iter [147750/160000] lr: 1.099e-07, eta: 2:59:03, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 74.9966, aux.loss_ce: 0.0693, aux.acc_seg: 73.6253, loss: 0.1919 +2022-03-15 11:33:04,579 - mmseg - INFO - Iter [147800/160000] lr: 1.095e-07, eta: 2:58:20, time: 0.917, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 76.3634, aux.loss_ce: 0.0697, aux.acc_seg: 74.9685, loss: 0.1939 +2022-03-15 11:33:47,786 - mmseg - INFO - Iter [147850/160000] lr: 1.090e-07, eta: 2:57:36, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1184, decode.acc_seg: 77.6310, aux.loss_ce: 0.0678, aux.acc_seg: 76.2188, loss: 0.1862 +2022-03-15 11:34:31,164 - mmseg - INFO - Iter [147900/160000] lr: 1.086e-07, eta: 2:56:52, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1176, decode.acc_seg: 76.3034, aux.loss_ce: 0.0660, aux.acc_seg: 75.0246, loss: 0.1836 +2022-03-15 11:35:14,655 - mmseg - INFO - Iter [147950/160000] lr: 1.081e-07, eta: 2:56:08, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1225, decode.acc_seg: 76.6731, aux.loss_ce: 0.0691, aux.acc_seg: 75.3570, loss: 0.1916 +2022-03-15 11:35:58,090 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 11:35:58,097 - mmseg - INFO - Iter [148000/160000] lr: 1.077e-07, eta: 2:55:24, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 77.2569, aux.loss_ce: 0.0700, aux.acc_seg: 75.9700, loss: 0.1961 +2022-03-15 11:36:41,312 - mmseg - INFO - Iter [148050/160000] lr: 1.072e-07, eta: 2:54:40, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1255, decode.acc_seg: 76.5059, aux.loss_ce: 0.0701, aux.acc_seg: 75.1892, loss: 0.1956 +2022-03-15 11:37:24,556 - mmseg - INFO - Iter [148100/160000] lr: 1.068e-07, eta: 2:53:56, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1120, decode.acc_seg: 77.7765, aux.loss_ce: 0.0643, aux.acc_seg: 76.3684, loss: 0.1763 +2022-03-15 11:38:08,059 - mmseg - INFO - Iter [148150/160000] lr: 1.063e-07, eta: 2:53:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1268, decode.acc_seg: 75.8410, aux.loss_ce: 0.0702, aux.acc_seg: 74.5706, loss: 0.1969 +2022-03-15 11:38:51,746 - mmseg - INFO - Iter [148200/160000] lr: 1.059e-07, eta: 2:52:29, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 76.7757, aux.loss_ce: 0.0675, aux.acc_seg: 75.4815, loss: 0.1871 +2022-03-15 11:39:35,038 - mmseg - INFO - Iter [148250/160000] lr: 1.055e-07, eta: 2:51:45, time: 0.866, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 76.3048, aux.loss_ce: 0.0716, aux.acc_seg: 74.8209, loss: 0.1959 +2022-03-15 11:40:18,563 - mmseg - INFO - Iter [148300/160000] lr: 1.050e-07, eta: 2:51:01, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 77.4788, aux.loss_ce: 0.0686, aux.acc_seg: 76.2053, loss: 0.1929 +2022-03-15 11:41:01,851 - mmseg - INFO - Iter [148350/160000] lr: 1.046e-07, eta: 2:50:17, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 77.3250, aux.loss_ce: 0.0690, aux.acc_seg: 75.9693, loss: 0.1897 +2022-03-15 11:41:45,432 - mmseg - INFO - Iter [148400/160000] lr: 1.041e-07, eta: 2:49:33, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 77.2963, aux.loss_ce: 0.0691, aux.acc_seg: 75.9673, loss: 0.1898 +2022-03-15 11:42:28,869 - mmseg - INFO - Iter [148450/160000] lr: 1.037e-07, eta: 2:48:49, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1369, decode.acc_seg: 77.0827, aux.loss_ce: 0.0764, aux.acc_seg: 75.6854, loss: 0.2133 +2022-03-15 11:43:12,423 - mmseg - INFO - Iter [148500/160000] lr: 1.032e-07, eta: 2:48:05, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1179, decode.acc_seg: 77.6316, aux.loss_ce: 0.0669, aux.acc_seg: 76.2695, loss: 0.1847 +2022-03-15 11:43:55,842 - mmseg - INFO - Iter [148550/160000] lr: 1.028e-07, eta: 2:47:21, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1138, decode.acc_seg: 76.7568, aux.loss_ce: 0.0639, aux.acc_seg: 75.4635, loss: 0.1777 +2022-03-15 11:44:39,239 - mmseg - INFO - Iter [148600/160000] lr: 1.023e-07, eta: 2:46:38, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 77.5642, aux.loss_ce: 0.0711, aux.acc_seg: 76.1830, loss: 0.1976 +2022-03-15 11:45:22,828 - mmseg - INFO - Iter [148650/160000] lr: 1.019e-07, eta: 2:45:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 77.0502, aux.loss_ce: 0.0683, aux.acc_seg: 75.7842, loss: 0.1901 +2022-03-15 11:46:06,211 - mmseg - INFO - Iter [148700/160000] lr: 1.014e-07, eta: 2:45:10, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 76.5667, aux.loss_ce: 0.0690, aux.acc_seg: 75.2056, loss: 0.1921 +2022-03-15 11:46:49,662 - mmseg - INFO - Iter [148750/160000] lr: 1.010e-07, eta: 2:44:26, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1224, decode.acc_seg: 75.3213, aux.loss_ce: 0.0697, aux.acc_seg: 73.9596, loss: 0.1921 +2022-03-15 11:47:33,272 - mmseg - INFO - Iter [148800/160000] lr: 1.005e-07, eta: 2:43:42, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1325, decode.acc_seg: 77.2722, aux.loss_ce: 0.0747, aux.acc_seg: 75.8311, loss: 0.2072 +2022-03-15 11:48:16,676 - mmseg - INFO - Iter [148850/160000] lr: 1.001e-07, eta: 2:42:58, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 75.4611, aux.loss_ce: 0.0684, aux.acc_seg: 74.2434, loss: 0.1929 +2022-03-15 11:49:00,135 - mmseg - INFO - Iter [148900/160000] lr: 9.962e-08, eta: 2:42:14, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1149, decode.acc_seg: 76.0560, aux.loss_ce: 0.0652, aux.acc_seg: 74.7013, loss: 0.1802 +2022-03-15 11:49:43,795 - mmseg - INFO - Iter [148950/160000] lr: 9.917e-08, eta: 2:41:30, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1146, decode.acc_seg: 75.8856, aux.loss_ce: 0.0652, aux.acc_seg: 74.7161, loss: 0.1798 +2022-03-15 11:50:27,127 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 11:50:27,130 - mmseg - INFO - Iter [149000/160000] lr: 9.872e-08, eta: 2:40:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1219, decode.acc_seg: 76.4168, aux.loss_ce: 0.0699, aux.acc_seg: 74.9932, loss: 0.1917 +2022-03-15 11:51:13,130 - mmseg - INFO - Iter [149050/160000] lr: 9.827e-08, eta: 2:40:03, time: 0.920, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 75.8393, aux.loss_ce: 0.0702, aux.acc_seg: 74.4180, loss: 0.1930 +2022-03-15 11:51:56,885 - mmseg - INFO - Iter [149100/160000] lr: 9.782e-08, eta: 2:39:19, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1270, decode.acc_seg: 77.2721, aux.loss_ce: 0.0729, aux.acc_seg: 75.8788, loss: 0.1999 +2022-03-15 11:52:40,264 - mmseg - INFO - Iter [149150/160000] lr: 9.737e-08, eta: 2:38:35, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1166, decode.acc_seg: 75.8018, aux.loss_ce: 0.0663, aux.acc_seg: 74.5583, loss: 0.1829 +2022-03-15 11:53:23,897 - mmseg - INFO - Iter [149200/160000] lr: 9.693e-08, eta: 2:37:51, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 76.4924, aux.loss_ce: 0.0702, aux.acc_seg: 75.1837, loss: 0.1971 +2022-03-15 11:54:07,239 - mmseg - INFO - Iter [149250/160000] lr: 9.648e-08, eta: 2:37:07, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1214, decode.acc_seg: 77.3925, aux.loss_ce: 0.0695, aux.acc_seg: 75.9403, loss: 0.1909 +2022-03-15 11:54:50,530 - mmseg - INFO - Iter [149300/160000] lr: 9.603e-08, eta: 2:36:23, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 76.5865, aux.loss_ce: 0.0709, aux.acc_seg: 75.1485, loss: 0.1970 +2022-03-15 11:55:33,888 - mmseg - INFO - Iter [149350/160000] lr: 9.558e-08, eta: 2:35:40, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.2659, aux.loss_ce: 0.0707, aux.acc_seg: 74.8769, loss: 0.1951 +2022-03-15 11:56:17,327 - mmseg - INFO - Iter [149400/160000] lr: 9.513e-08, eta: 2:34:56, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1292, decode.acc_seg: 77.7303, aux.loss_ce: 0.0725, aux.acc_seg: 76.3964, loss: 0.2017 +2022-03-15 11:57:00,647 - mmseg - INFO - Iter [149450/160000] lr: 9.468e-08, eta: 2:34:12, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1299, decode.acc_seg: 76.1601, aux.loss_ce: 0.0737, aux.acc_seg: 74.7471, loss: 0.2035 +2022-03-15 11:57:44,137 - mmseg - INFO - Iter [149500/160000] lr: 9.423e-08, eta: 2:33:28, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1260, decode.acc_seg: 75.9436, aux.loss_ce: 0.0704, aux.acc_seg: 74.6017, loss: 0.1964 +2022-03-15 11:58:27,464 - mmseg - INFO - Iter [149550/160000] lr: 9.378e-08, eta: 2:32:44, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 77.8867, aux.loss_ce: 0.0693, aux.acc_seg: 76.5331, loss: 0.1956 +2022-03-15 11:59:10,927 - mmseg - INFO - Iter [149600/160000] lr: 9.334e-08, eta: 2:32:00, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 75.4785, aux.loss_ce: 0.0728, aux.acc_seg: 73.9481, loss: 0.1993 +2022-03-15 11:59:54,472 - mmseg - INFO - Iter [149650/160000] lr: 9.289e-08, eta: 2:31:16, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 76.4917, aux.loss_ce: 0.0674, aux.acc_seg: 75.2555, loss: 0.1902 +2022-03-15 12:00:37,809 - mmseg - INFO - Iter [149700/160000] lr: 9.244e-08, eta: 2:30:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 76.6477, aux.loss_ce: 0.0664, aux.acc_seg: 75.3692, loss: 0.1856 +2022-03-15 12:01:21,285 - mmseg - INFO - Iter [149750/160000] lr: 9.199e-08, eta: 2:29:49, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1129, decode.acc_seg: 77.0221, aux.loss_ce: 0.0638, aux.acc_seg: 75.7930, loss: 0.1767 +2022-03-15 12:02:04,541 - mmseg - INFO - Iter [149800/160000] lr: 9.154e-08, eta: 2:29:05, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1177, decode.acc_seg: 75.0450, aux.loss_ce: 0.0661, aux.acc_seg: 73.7914, loss: 0.1838 +2022-03-15 12:02:47,994 - mmseg - INFO - Iter [149850/160000] lr: 9.109e-08, eta: 2:28:21, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1319, decode.acc_seg: 76.8206, aux.loss_ce: 0.0760, aux.acc_seg: 75.3686, loss: 0.2079 +2022-03-15 12:03:31,363 - mmseg - INFO - Iter [149900/160000] lr: 9.064e-08, eta: 2:27:37, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 75.8701, aux.loss_ce: 0.0698, aux.acc_seg: 74.5712, loss: 0.1943 +2022-03-15 12:04:14,718 - mmseg - INFO - Iter [149950/160000] lr: 9.019e-08, eta: 2:26:53, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 75.2194, aux.loss_ce: 0.0691, aux.acc_seg: 73.9321, loss: 0.1944 +2022-03-15 12:04:58,210 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 12:04:58,214 - mmseg - INFO - Iter [150000/160000] lr: 8.975e-08, eta: 2:26:09, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1193, decode.acc_seg: 76.4074, aux.loss_ce: 0.0677, aux.acc_seg: 75.0144, loss: 0.1870 +2022-03-15 12:05:41,535 - mmseg - INFO - Iter [150050/160000] lr: 8.930e-08, eta: 2:25:25, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 77.3588, aux.loss_ce: 0.0704, aux.acc_seg: 76.0885, loss: 0.1968 +2022-03-15 12:06:25,100 - mmseg - INFO - Iter [150100/160000] lr: 8.885e-08, eta: 2:24:41, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 75.7789, aux.loss_ce: 0.0689, aux.acc_seg: 74.4279, loss: 0.1895 +2022-03-15 12:07:08,597 - mmseg - INFO - Iter [150150/160000] lr: 8.840e-08, eta: 2:23:58, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1271, decode.acc_seg: 76.0366, aux.loss_ce: 0.0711, aux.acc_seg: 74.6193, loss: 0.1981 +2022-03-15 12:07:52,104 - mmseg - INFO - Iter [150200/160000] lr: 8.795e-08, eta: 2:23:14, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1194, decode.acc_seg: 76.0690, aux.loss_ce: 0.0669, aux.acc_seg: 74.8131, loss: 0.1863 +2022-03-15 12:08:35,288 - mmseg - INFO - Iter [150250/160000] lr: 8.750e-08, eta: 2:22:30, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1183, decode.acc_seg: 76.5434, aux.loss_ce: 0.0666, aux.acc_seg: 75.3249, loss: 0.1849 +2022-03-15 12:09:21,021 - mmseg - INFO - Iter [150300/160000] lr: 8.705e-08, eta: 2:21:46, time: 0.915, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1210, decode.acc_seg: 77.0904, aux.loss_ce: 0.0684, aux.acc_seg: 75.7630, loss: 0.1895 +2022-03-15 12:10:04,579 - mmseg - INFO - Iter [150350/160000] lr: 8.661e-08, eta: 2:21:02, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1305, decode.acc_seg: 77.3954, aux.loss_ce: 0.0745, aux.acc_seg: 75.8687, loss: 0.2050 +2022-03-15 12:10:47,969 - mmseg - INFO - Iter [150400/160000] lr: 8.616e-08, eta: 2:20:18, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1240, decode.acc_seg: 76.3573, aux.loss_ce: 0.0688, aux.acc_seg: 75.0164, loss: 0.1928 +2022-03-15 12:11:31,508 - mmseg - INFO - Iter [150450/160000] lr: 8.571e-08, eta: 2:19:34, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1219, decode.acc_seg: 75.2599, aux.loss_ce: 0.0678, aux.acc_seg: 73.9166, loss: 0.1897 +2022-03-15 12:12:14,919 - mmseg - INFO - Iter [150500/160000] lr: 8.526e-08, eta: 2:18:51, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1109, decode.acc_seg: 76.4016, aux.loss_ce: 0.0640, aux.acc_seg: 75.1120, loss: 0.1749 +2022-03-15 12:12:58,108 - mmseg - INFO - Iter [150550/160000] lr: 8.481e-08, eta: 2:18:07, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1189, decode.acc_seg: 75.5420, aux.loss_ce: 0.0662, aux.acc_seg: 74.2654, loss: 0.1851 +2022-03-15 12:13:41,289 - mmseg - INFO - Iter [150600/160000] lr: 8.436e-08, eta: 2:17:23, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 76.7028, aux.loss_ce: 0.0676, aux.acc_seg: 75.4255, loss: 0.1867 +2022-03-15 12:14:24,679 - mmseg - INFO - Iter [150650/160000] lr: 8.391e-08, eta: 2:16:39, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1178, decode.acc_seg: 75.4873, aux.loss_ce: 0.0661, aux.acc_seg: 74.2684, loss: 0.1839 +2022-03-15 12:15:08,080 - mmseg - INFO - Iter [150700/160000] lr: 8.346e-08, eta: 2:15:55, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 78.1137, aux.loss_ce: 0.0702, aux.acc_seg: 76.8098, loss: 0.1961 +2022-03-15 12:15:51,434 - mmseg - INFO - Iter [150750/160000] lr: 8.302e-08, eta: 2:15:11, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1283, decode.acc_seg: 76.8681, aux.loss_ce: 0.0721, aux.acc_seg: 75.5635, loss: 0.2003 +2022-03-15 12:16:34,668 - mmseg - INFO - Iter [150800/160000] lr: 8.257e-08, eta: 2:14:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1263, decode.acc_seg: 77.2059, aux.loss_ce: 0.0717, aux.acc_seg: 75.8753, loss: 0.1980 +2022-03-15 12:17:18,373 - mmseg - INFO - Iter [150850/160000] lr: 8.212e-08, eta: 2:13:43, time: 0.874, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 76.6361, aux.loss_ce: 0.0684, aux.acc_seg: 75.3156, loss: 0.1913 +2022-03-15 12:18:01,712 - mmseg - INFO - Iter [150900/160000] lr: 8.167e-08, eta: 2:13:00, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1191, decode.acc_seg: 78.0377, aux.loss_ce: 0.0666, aux.acc_seg: 76.7469, loss: 0.1857 +2022-03-15 12:18:45,059 - mmseg - INFO - Iter [150950/160000] lr: 8.122e-08, eta: 2:12:16, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1196, decode.acc_seg: 75.8256, aux.loss_ce: 0.0675, aux.acc_seg: 74.5137, loss: 0.1871 +2022-03-15 12:19:28,387 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 12:19:28,390 - mmseg - INFO - Iter [151000/160000] lr: 8.077e-08, eta: 2:11:32, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 77.3434, aux.loss_ce: 0.0704, aux.acc_seg: 75.9324, loss: 0.1961 +2022-03-15 12:20:11,721 - mmseg - INFO - Iter [151050/160000] lr: 8.032e-08, eta: 2:10:48, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1221, decode.acc_seg: 76.2633, aux.loss_ce: 0.0697, aux.acc_seg: 74.8800, loss: 0.1918 +2022-03-15 12:20:55,153 - mmseg - INFO - Iter [151100/160000] lr: 7.988e-08, eta: 2:10:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1240, decode.acc_seg: 75.5370, aux.loss_ce: 0.0700, aux.acc_seg: 74.1771, loss: 0.1940 +2022-03-15 12:21:38,688 - mmseg - INFO - Iter [151150/160000] lr: 7.943e-08, eta: 2:09:20, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1237, decode.acc_seg: 75.5643, aux.loss_ce: 0.0688, aux.acc_seg: 74.3224, loss: 0.1925 +2022-03-15 12:22:22,299 - mmseg - INFO - Iter [151200/160000] lr: 7.898e-08, eta: 2:08:36, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1252, decode.acc_seg: 77.2224, aux.loss_ce: 0.0697, aux.acc_seg: 75.9352, loss: 0.1949 +2022-03-15 12:23:05,703 - mmseg - INFO - Iter [151250/160000] lr: 7.853e-08, eta: 2:07:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1173, decode.acc_seg: 75.3783, aux.loss_ce: 0.0666, aux.acc_seg: 74.0802, loss: 0.1839 +2022-03-15 12:23:49,116 - mmseg - INFO - Iter [151300/160000] lr: 7.808e-08, eta: 2:07:09, time: 0.869, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 75.8064, aux.loss_ce: 0.0705, aux.acc_seg: 74.4397, loss: 0.1932 +2022-03-15 12:24:32,783 - mmseg - INFO - Iter [151350/160000] lr: 7.763e-08, eta: 2:06:25, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1170, decode.acc_seg: 76.3745, aux.loss_ce: 0.0682, aux.acc_seg: 74.9499, loss: 0.1852 +2022-03-15 12:25:16,311 - mmseg - INFO - Iter [151400/160000] lr: 7.718e-08, eta: 2:05:41, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1269, decode.acc_seg: 77.9224, aux.loss_ce: 0.0711, aux.acc_seg: 76.5403, loss: 0.1980 +2022-03-15 12:25:59,661 - mmseg - INFO - Iter [151450/160000] lr: 7.673e-08, eta: 2:04:57, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 76.7443, aux.loss_ce: 0.0708, aux.acc_seg: 75.4141, loss: 0.1962 +2022-03-15 12:26:43,043 - mmseg - INFO - Iter [151500/160000] lr: 7.629e-08, eta: 2:04:13, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 76.6569, aux.loss_ce: 0.0706, aux.acc_seg: 75.2574, loss: 0.1945 +2022-03-15 12:27:26,631 - mmseg - INFO - Iter [151550/160000] lr: 7.584e-08, eta: 2:03:29, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1141, decode.acc_seg: 76.0246, aux.loss_ce: 0.0642, aux.acc_seg: 74.7871, loss: 0.1782 +2022-03-15 12:28:12,487 - mmseg - INFO - Iter [151600/160000] lr: 7.539e-08, eta: 2:02:46, time: 0.919, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1214, decode.acc_seg: 76.4786, aux.loss_ce: 0.0686, aux.acc_seg: 75.2510, loss: 0.1900 +2022-03-15 12:28:55,811 - mmseg - INFO - Iter [151650/160000] lr: 7.494e-08, eta: 2:02:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 76.9732, aux.loss_ce: 0.0685, aux.acc_seg: 75.6126, loss: 0.1892 +2022-03-15 12:29:39,489 - mmseg - INFO - Iter [151700/160000] lr: 7.449e-08, eta: 2:01:18, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1261, decode.acc_seg: 77.4900, aux.loss_ce: 0.0700, aux.acc_seg: 76.2167, loss: 0.1961 +2022-03-15 12:30:23,168 - mmseg - INFO - Iter [151750/160000] lr: 7.404e-08, eta: 2:00:34, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 76.6084, aux.loss_ce: 0.0689, aux.acc_seg: 75.3891, loss: 0.1904 +2022-03-15 12:31:06,642 - mmseg - INFO - Iter [151800/160000] lr: 7.359e-08, eta: 1:59:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 75.3384, aux.loss_ce: 0.0689, aux.acc_seg: 73.9958, loss: 0.1901 +2022-03-15 12:31:50,073 - mmseg - INFO - Iter [151850/160000] lr: 7.314e-08, eta: 1:59:06, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1221, decode.acc_seg: 75.9412, aux.loss_ce: 0.0698, aux.acc_seg: 74.5113, loss: 0.1919 +2022-03-15 12:32:33,441 - mmseg - INFO - Iter [151900/160000] lr: 7.270e-08, eta: 1:58:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1248, decode.acc_seg: 76.4534, aux.loss_ce: 0.0698, aux.acc_seg: 75.0614, loss: 0.1946 +2022-03-15 12:33:16,952 - mmseg - INFO - Iter [151950/160000] lr: 7.225e-08, eta: 1:57:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 75.6444, aux.loss_ce: 0.0697, aux.acc_seg: 74.2073, loss: 0.1936 +2022-03-15 12:34:00,247 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 12:34:00,249 - mmseg - INFO - Iter [152000/160000] lr: 7.180e-08, eta: 1:56:55, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1311, decode.acc_seg: 76.8648, aux.loss_ce: 0.0704, aux.acc_seg: 75.6043, loss: 0.2015 +2022-03-15 12:34:43,512 - mmseg - INFO - Iter [152050/160000] lr: 7.135e-08, eta: 1:56:11, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 76.8902, aux.loss_ce: 0.0704, aux.acc_seg: 75.4085, loss: 0.1932 +2022-03-15 12:35:26,754 - mmseg - INFO - Iter [152100/160000] lr: 7.090e-08, eta: 1:55:27, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1213, decode.acc_seg: 75.9791, aux.loss_ce: 0.0698, aux.acc_seg: 74.6118, loss: 0.1910 +2022-03-15 12:36:10,314 - mmseg - INFO - Iter [152150/160000] lr: 7.045e-08, eta: 1:54:43, time: 0.871, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1221, decode.acc_seg: 75.9586, aux.loss_ce: 0.0688, aux.acc_seg: 74.5807, loss: 0.1908 +2022-03-15 12:36:53,619 - mmseg - INFO - Iter [152200/160000] lr: 7.000e-08, eta: 1:53:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1226, decode.acc_seg: 76.0787, aux.loss_ce: 0.0694, aux.acc_seg: 74.7209, loss: 0.1920 +2022-03-15 12:37:36,832 - mmseg - INFO - Iter [152250/160000] lr: 6.956e-08, eta: 1:53:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 76.8640, aux.loss_ce: 0.0717, aux.acc_seg: 75.4593, loss: 0.1981 +2022-03-15 12:38:20,254 - mmseg - INFO - Iter [152300/160000] lr: 6.911e-08, eta: 1:52:31, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1233, decode.acc_seg: 75.7710, aux.loss_ce: 0.0710, aux.acc_seg: 74.1870, loss: 0.1943 +2022-03-15 12:39:03,516 - mmseg - INFO - Iter [152350/160000] lr: 6.866e-08, eta: 1:51:48, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1141, decode.acc_seg: 76.8002, aux.loss_ce: 0.0651, aux.acc_seg: 75.4810, loss: 0.1792 +2022-03-15 12:39:46,966 - mmseg - INFO - Iter [152400/160000] lr: 6.821e-08, eta: 1:51:04, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1120, decode.acc_seg: 77.5538, aux.loss_ce: 0.0627, aux.acc_seg: 76.4530, loss: 0.1747 +2022-03-15 12:40:30,199 - mmseg - INFO - Iter [152450/160000] lr: 6.776e-08, eta: 1:50:20, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1190, decode.acc_seg: 77.1502, aux.loss_ce: 0.0687, aux.acc_seg: 75.7749, loss: 0.1877 +2022-03-15 12:41:13,444 - mmseg - INFO - Iter [152500/160000] lr: 6.731e-08, eta: 1:49:36, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1237, decode.acc_seg: 76.7955, aux.loss_ce: 0.0689, aux.acc_seg: 75.4132, loss: 0.1926 +2022-03-15 12:41:56,873 - mmseg - INFO - Iter [152550/160000] lr: 6.686e-08, eta: 1:48:52, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1211, decode.acc_seg: 76.1456, aux.loss_ce: 0.0681, aux.acc_seg: 74.8613, loss: 0.1892 +2022-03-15 12:42:40,432 - mmseg - INFO - Iter [152600/160000] lr: 6.641e-08, eta: 1:48:08, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1164, decode.acc_seg: 76.6313, aux.loss_ce: 0.0663, aux.acc_seg: 75.3553, loss: 0.1828 +2022-03-15 12:43:23,893 - mmseg - INFO - Iter [152650/160000] lr: 6.597e-08, eta: 1:47:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 76.8520, aux.loss_ce: 0.0693, aux.acc_seg: 75.5114, loss: 0.1921 +2022-03-15 12:44:07,383 - mmseg - INFO - Iter [152700/160000] lr: 6.552e-08, eta: 1:46:40, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 75.2483, aux.loss_ce: 0.0698, aux.acc_seg: 73.8691, loss: 0.1929 +2022-03-15 12:44:50,654 - mmseg - INFO - Iter [152750/160000] lr: 6.507e-08, eta: 1:45:57, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1226, decode.acc_seg: 76.2582, aux.loss_ce: 0.0682, aux.acc_seg: 74.9467, loss: 0.1907 +2022-03-15 12:45:33,988 - mmseg - INFO - Iter [152800/160000] lr: 6.462e-08, eta: 1:45:13, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 75.8465, aux.loss_ce: 0.0699, aux.acc_seg: 74.4890, loss: 0.1947 +2022-03-15 12:46:19,845 - mmseg - INFO - Iter [152850/160000] lr: 6.417e-08, eta: 1:44:29, time: 0.917, data_time: 0.053, memory: 73034, decode.loss_ce: 0.1239, decode.acc_seg: 78.2609, aux.loss_ce: 0.0696, aux.acc_seg: 76.8897, loss: 0.1935 +2022-03-15 12:47:03,107 - mmseg - INFO - Iter [152900/160000] lr: 6.372e-08, eta: 1:43:45, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 76.9980, aux.loss_ce: 0.0662, aux.acc_seg: 75.8465, loss: 0.1854 +2022-03-15 12:47:46,551 - mmseg - INFO - Iter [152950/160000] lr: 6.327e-08, eta: 1:43:01, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1173, decode.acc_seg: 76.1884, aux.loss_ce: 0.0671, aux.acc_seg: 74.7283, loss: 0.1844 +2022-03-15 12:48:30,005 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 12:48:30,014 - mmseg - INFO - Iter [153000/160000] lr: 6.283e-08, eta: 1:42:17, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1296, decode.acc_seg: 76.0650, aux.loss_ce: 0.0715, aux.acc_seg: 74.6643, loss: 0.2011 +2022-03-15 12:49:13,305 - mmseg - INFO - Iter [153050/160000] lr: 6.238e-08, eta: 1:41:34, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1270, decode.acc_seg: 78.2168, aux.loss_ce: 0.0706, aux.acc_seg: 76.8490, loss: 0.1976 +2022-03-15 12:49:56,523 - mmseg - INFO - Iter [153100/160000] lr: 6.193e-08, eta: 1:40:50, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1156, decode.acc_seg: 76.5731, aux.loss_ce: 0.0652, aux.acc_seg: 75.2525, loss: 0.1809 +2022-03-15 12:50:40,036 - mmseg - INFO - Iter [153150/160000] lr: 6.148e-08, eta: 1:40:06, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1264, decode.acc_seg: 76.6000, aux.loss_ce: 0.0717, aux.acc_seg: 75.1624, loss: 0.1981 +2022-03-15 12:51:23,551 - mmseg - INFO - Iter [153200/160000] lr: 6.103e-08, eta: 1:39:22, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 75.3921, aux.loss_ce: 0.0675, aux.acc_seg: 74.1463, loss: 0.1886 +2022-03-15 12:52:07,089 - mmseg - INFO - Iter [153250/160000] lr: 6.058e-08, eta: 1:38:38, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1164, decode.acc_seg: 76.8190, aux.loss_ce: 0.0652, aux.acc_seg: 75.6278, loss: 0.1816 +2022-03-15 12:52:50,339 - mmseg - INFO - Iter [153300/160000] lr: 6.013e-08, eta: 1:37:54, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1303, decode.acc_seg: 76.5623, aux.loss_ce: 0.0738, aux.acc_seg: 75.1570, loss: 0.2042 +2022-03-15 12:53:33,962 - mmseg - INFO - Iter [153350/160000] lr: 5.968e-08, eta: 1:37:10, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1214, decode.acc_seg: 76.4841, aux.loss_ce: 0.0687, aux.acc_seg: 75.1180, loss: 0.1901 +2022-03-15 12:54:17,408 - mmseg - INFO - Iter [153400/160000] lr: 5.924e-08, eta: 1:36:27, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 73.6529, aux.loss_ce: 0.0712, aux.acc_seg: 72.3057, loss: 0.1971 +2022-03-15 12:55:00,954 - mmseg - INFO - Iter [153450/160000] lr: 5.879e-08, eta: 1:35:43, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1217, decode.acc_seg: 75.6793, aux.loss_ce: 0.0699, aux.acc_seg: 74.2319, loss: 0.1916 +2022-03-15 12:55:44,419 - mmseg - INFO - Iter [153500/160000] lr: 5.834e-08, eta: 1:34:59, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1189, decode.acc_seg: 77.2831, aux.loss_ce: 0.0676, aux.acc_seg: 75.9148, loss: 0.1865 +2022-03-15 12:56:27,633 - mmseg - INFO - Iter [153550/160000] lr: 5.789e-08, eta: 1:34:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1254, decode.acc_seg: 77.3420, aux.loss_ce: 0.0714, aux.acc_seg: 75.9890, loss: 0.1969 +2022-03-15 12:57:10,973 - mmseg - INFO - Iter [153600/160000] lr: 5.744e-08, eta: 1:33:31, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1245, decode.acc_seg: 76.7161, aux.loss_ce: 0.0718, aux.acc_seg: 75.2414, loss: 0.1963 +2022-03-15 12:57:54,632 - mmseg - INFO - Iter [153650/160000] lr: 5.699e-08, eta: 1:32:47, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1142, decode.acc_seg: 76.6137, aux.loss_ce: 0.0651, aux.acc_seg: 75.3082, loss: 0.1793 +2022-03-15 12:58:38,011 - mmseg - INFO - Iter [153700/160000] lr: 5.654e-08, eta: 1:32:03, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 77.0500, aux.loss_ce: 0.0718, aux.acc_seg: 75.5151, loss: 0.1975 +2022-03-15 12:59:21,383 - mmseg - INFO - Iter [153750/160000] lr: 5.609e-08, eta: 1:31:20, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 75.8584, aux.loss_ce: 0.0677, aux.acc_seg: 74.5666, loss: 0.1889 +2022-03-15 13:00:05,021 - mmseg - INFO - Iter [153800/160000] lr: 5.565e-08, eta: 1:30:36, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1164, decode.acc_seg: 77.8154, aux.loss_ce: 0.0658, aux.acc_seg: 76.5165, loss: 0.1822 +2022-03-15 13:00:48,759 - mmseg - INFO - Iter [153850/160000] lr: 5.520e-08, eta: 1:29:52, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 75.4669, aux.loss_ce: 0.0708, aux.acc_seg: 74.0583, loss: 0.1940 +2022-03-15 13:01:32,221 - mmseg - INFO - Iter [153900/160000] lr: 5.475e-08, eta: 1:29:08, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 76.3236, aux.loss_ce: 0.0712, aux.acc_seg: 74.8868, loss: 0.1977 +2022-03-15 13:02:15,671 - mmseg - INFO - Iter [153950/160000] lr: 5.430e-08, eta: 1:28:24, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1237, decode.acc_seg: 77.7616, aux.loss_ce: 0.0695, aux.acc_seg: 76.3823, loss: 0.1932 +2022-03-15 13:02:58,986 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 13:02:58,992 - mmseg - INFO - Iter [154000/160000] lr: 5.385e-08, eta: 1:27:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 77.3785, aux.loss_ce: 0.0688, aux.acc_seg: 75.9871, loss: 0.1887 +2022-03-15 13:03:42,316 - mmseg - INFO - Iter [154050/160000] lr: 5.340e-08, eta: 1:26:56, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1238, decode.acc_seg: 77.4722, aux.loss_ce: 0.0694, aux.acc_seg: 76.1658, loss: 0.1932 +2022-03-15 13:04:28,261 - mmseg - INFO - Iter [154100/160000] lr: 5.295e-08, eta: 1:26:13, time: 0.919, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 76.1858, aux.loss_ce: 0.0681, aux.acc_seg: 74.8574, loss: 0.1882 +2022-03-15 13:05:12,060 - mmseg - INFO - Iter [154150/160000] lr: 5.251e-08, eta: 1:25:29, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1146, decode.acc_seg: 75.3401, aux.loss_ce: 0.0636, aux.acc_seg: 74.1231, loss: 0.1782 +2022-03-15 13:05:55,345 - mmseg - INFO - Iter [154200/160000] lr: 5.206e-08, eta: 1:24:45, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 77.2426, aux.loss_ce: 0.0692, aux.acc_seg: 75.9209, loss: 0.1921 +2022-03-15 13:06:38,572 - mmseg - INFO - Iter [154250/160000] lr: 5.161e-08, eta: 1:24:01, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1164, decode.acc_seg: 76.9140, aux.loss_ce: 0.0658, aux.acc_seg: 75.5742, loss: 0.1822 +2022-03-15 13:07:21,955 - mmseg - INFO - Iter [154300/160000] lr: 5.116e-08, eta: 1:23:17, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 75.5728, aux.loss_ce: 0.0697, aux.acc_seg: 74.1393, loss: 0.1924 +2022-03-15 13:08:05,267 - mmseg - INFO - Iter [154350/160000] lr: 5.071e-08, eta: 1:22:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1203, decode.acc_seg: 77.0341, aux.loss_ce: 0.0680, aux.acc_seg: 75.6195, loss: 0.1882 +2022-03-15 13:08:48,632 - mmseg - INFO - Iter [154400/160000] lr: 5.026e-08, eta: 1:21:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1244, decode.acc_seg: 76.6789, aux.loss_ce: 0.0700, aux.acc_seg: 75.3533, loss: 0.1943 +2022-03-15 13:09:32,273 - mmseg - INFO - Iter [154450/160000] lr: 4.981e-08, eta: 1:21:06, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1161, decode.acc_seg: 77.1131, aux.loss_ce: 0.0669, aux.acc_seg: 75.8715, loss: 0.1830 +2022-03-15 13:10:15,634 - mmseg - INFO - Iter [154500/160000] lr: 4.936e-08, eta: 1:20:22, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1134, decode.acc_seg: 76.9075, aux.loss_ce: 0.0652, aux.acc_seg: 75.4747, loss: 0.1786 +2022-03-15 13:10:58,964 - mmseg - INFO - Iter [154550/160000] lr: 4.892e-08, eta: 1:19:38, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1275, decode.acc_seg: 77.0331, aux.loss_ce: 0.0709, aux.acc_seg: 75.7027, loss: 0.1984 +2022-03-15 13:11:42,544 - mmseg - INFO - Iter [154600/160000] lr: 4.847e-08, eta: 1:18:54, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1324, decode.acc_seg: 77.2835, aux.loss_ce: 0.0748, aux.acc_seg: 75.6889, loss: 0.2072 +2022-03-15 13:12:25,795 - mmseg - INFO - Iter [154650/160000] lr: 4.802e-08, eta: 1:18:10, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1178, decode.acc_seg: 75.7806, aux.loss_ce: 0.0665, aux.acc_seg: 74.5042, loss: 0.1843 +2022-03-15 13:13:09,143 - mmseg - INFO - Iter [154700/160000] lr: 4.757e-08, eta: 1:17:26, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1173, decode.acc_seg: 76.6705, aux.loss_ce: 0.0663, aux.acc_seg: 75.4249, loss: 0.1836 +2022-03-15 13:13:52,528 - mmseg - INFO - Iter [154750/160000] lr: 4.712e-08, eta: 1:16:43, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1206, decode.acc_seg: 75.3527, aux.loss_ce: 0.0680, aux.acc_seg: 74.0370, loss: 0.1885 +2022-03-15 13:14:35,868 - mmseg - INFO - Iter [154800/160000] lr: 4.667e-08, eta: 1:15:59, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1201, decode.acc_seg: 76.7428, aux.loss_ce: 0.0676, aux.acc_seg: 75.4499, loss: 0.1877 +2022-03-15 13:15:19,270 - mmseg - INFO - Iter [154850/160000] lr: 4.622e-08, eta: 1:15:15, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1172, decode.acc_seg: 75.0711, aux.loss_ce: 0.0661, aux.acc_seg: 73.7794, loss: 0.1833 +2022-03-15 13:16:03,083 - mmseg - INFO - Iter [154900/160000] lr: 4.577e-08, eta: 1:14:31, time: 0.876, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 77.1429, aux.loss_ce: 0.0691, aux.acc_seg: 75.8404, loss: 0.1923 +2022-03-15 13:16:46,636 - mmseg - INFO - Iter [154950/160000] lr: 4.533e-08, eta: 1:13:47, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 76.9533, aux.loss_ce: 0.0707, aux.acc_seg: 75.5502, loss: 0.1955 +2022-03-15 13:17:30,079 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 13:17:30,082 - mmseg - INFO - Iter [155000/160000] lr: 4.488e-08, eta: 1:13:03, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1228, decode.acc_seg: 76.6380, aux.loss_ce: 0.0694, aux.acc_seg: 75.2609, loss: 0.1922 +2022-03-15 13:18:13,560 - mmseg - INFO - Iter [155050/160000] lr: 4.443e-08, eta: 1:12:19, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1186, decode.acc_seg: 77.6540, aux.loss_ce: 0.0667, aux.acc_seg: 76.3310, loss: 0.1853 +2022-03-15 13:18:57,078 - mmseg - INFO - Iter [155100/160000] lr: 4.398e-08, eta: 1:11:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1166, decode.acc_seg: 76.4710, aux.loss_ce: 0.0671, aux.acc_seg: 75.0651, loss: 0.1838 +2022-03-15 13:19:40,460 - mmseg - INFO - Iter [155150/160000] lr: 4.353e-08, eta: 1:10:52, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1149, decode.acc_seg: 76.7672, aux.loss_ce: 0.0653, aux.acc_seg: 75.4650, loss: 0.1802 +2022-03-15 13:20:24,051 - mmseg - INFO - Iter [155200/160000] lr: 4.308e-08, eta: 1:10:08, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1286, decode.acc_seg: 76.8186, aux.loss_ce: 0.0711, aux.acc_seg: 75.5196, loss: 0.1997 +2022-03-15 13:21:07,407 - mmseg - INFO - Iter [155250/160000] lr: 4.263e-08, eta: 1:09:24, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1246, decode.acc_seg: 76.9574, aux.loss_ce: 0.0704, aux.acc_seg: 75.5317, loss: 0.1951 +2022-03-15 13:21:50,713 - mmseg - INFO - Iter [155300/160000] lr: 4.219e-08, eta: 1:08:40, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 77.6175, aux.loss_ce: 0.0716, aux.acc_seg: 76.2531, loss: 0.1997 +2022-03-15 13:22:36,557 - mmseg - INFO - Iter [155350/160000] lr: 4.174e-08, eta: 1:07:56, time: 0.917, data_time: 0.052, memory: 73034, decode.loss_ce: 0.1175, decode.acc_seg: 76.7347, aux.loss_ce: 0.0669, aux.acc_seg: 75.4330, loss: 0.1844 +2022-03-15 13:23:20,060 - mmseg - INFO - Iter [155400/160000] lr: 4.129e-08, eta: 1:07:13, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1243, decode.acc_seg: 77.0582, aux.loss_ce: 0.0692, aux.acc_seg: 75.7171, loss: 0.1935 +2022-03-15 13:24:03,784 - mmseg - INFO - Iter [155450/160000] lr: 4.084e-08, eta: 1:06:29, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1173, decode.acc_seg: 76.0231, aux.loss_ce: 0.0653, aux.acc_seg: 74.7461, loss: 0.1826 +2022-03-15 13:24:47,361 - mmseg - INFO - Iter [155500/160000] lr: 4.039e-08, eta: 1:05:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1224, decode.acc_seg: 76.1632, aux.loss_ce: 0.0693, aux.acc_seg: 74.8052, loss: 0.1916 +2022-03-15 13:25:30,919 - mmseg - INFO - Iter [155550/160000] lr: 3.994e-08, eta: 1:05:01, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1141, decode.acc_seg: 76.6255, aux.loss_ce: 0.0639, aux.acc_seg: 75.4289, loss: 0.1781 +2022-03-15 13:26:14,499 - mmseg - INFO - Iter [155600/160000] lr: 3.949e-08, eta: 1:04:17, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1156, decode.acc_seg: 77.9662, aux.loss_ce: 0.0658, aux.acc_seg: 76.6091, loss: 0.1814 +2022-03-15 13:26:57,923 - mmseg - INFO - Iter [155650/160000] lr: 3.904e-08, eta: 1:03:33, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1258, decode.acc_seg: 75.9832, aux.loss_ce: 0.0727, aux.acc_seg: 74.5271, loss: 0.1985 +2022-03-15 13:27:41,256 - mmseg - INFO - Iter [155700/160000] lr: 3.860e-08, eta: 1:02:49, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1231, decode.acc_seg: 75.3499, aux.loss_ce: 0.0701, aux.acc_seg: 73.8810, loss: 0.1932 +2022-03-15 13:28:24,675 - mmseg - INFO - Iter [155750/160000] lr: 3.815e-08, eta: 1:02:06, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1194, decode.acc_seg: 76.8580, aux.loss_ce: 0.0681, aux.acc_seg: 75.4567, loss: 0.1875 +2022-03-15 13:29:07,998 - mmseg - INFO - Iter [155800/160000] lr: 3.770e-08, eta: 1:01:22, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1255, decode.acc_seg: 76.7961, aux.loss_ce: 0.0711, aux.acc_seg: 75.4350, loss: 0.1966 +2022-03-15 13:29:51,488 - mmseg - INFO - Iter [155850/160000] lr: 3.725e-08, eta: 1:00:38, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1194, decode.acc_seg: 76.1757, aux.loss_ce: 0.0675, aux.acc_seg: 74.8781, loss: 0.1869 +2022-03-15 13:30:34,878 - mmseg - INFO - Iter [155900/160000] lr: 3.680e-08, eta: 0:59:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1162, decode.acc_seg: 76.0309, aux.loss_ce: 0.0664, aux.acc_seg: 74.6900, loss: 0.1826 +2022-03-15 13:31:18,215 - mmseg - INFO - Iter [155950/160000] lr: 3.635e-08, eta: 0:59:10, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1174, decode.acc_seg: 76.9213, aux.loss_ce: 0.0656, aux.acc_seg: 75.6303, loss: 0.1830 +2022-03-15 13:32:01,596 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 13:32:01,601 - mmseg - INFO - Iter [156000/160000] lr: 3.590e-08, eta: 0:58:26, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1314, decode.acc_seg: 77.2606, aux.loss_ce: 0.0727, aux.acc_seg: 75.8726, loss: 0.2041 +2022-03-15 13:32:45,111 - mmseg - INFO - Iter [156050/160000] lr: 3.546e-08, eta: 0:57:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1233, decode.acc_seg: 76.7572, aux.loss_ce: 0.0692, aux.acc_seg: 75.4380, loss: 0.1925 +2022-03-15 13:33:28,399 - mmseg - INFO - Iter [156100/160000] lr: 3.501e-08, eta: 0:56:59, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1216, decode.acc_seg: 77.5324, aux.loss_ce: 0.0689, aux.acc_seg: 76.2125, loss: 0.1905 +2022-03-15 13:34:11,697 - mmseg - INFO - Iter [156150/160000] lr: 3.456e-08, eta: 0:56:15, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1164, decode.acc_seg: 75.8023, aux.loss_ce: 0.0664, aux.acc_seg: 74.5089, loss: 0.1828 +2022-03-15 13:34:55,089 - mmseg - INFO - Iter [156200/160000] lr: 3.411e-08, eta: 0:55:31, time: 0.868, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1141, decode.acc_seg: 75.8159, aux.loss_ce: 0.0650, aux.acc_seg: 74.4574, loss: 0.1790 +2022-03-15 13:35:38,411 - mmseg - INFO - Iter [156250/160000] lr: 3.366e-08, eta: 0:54:47, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 76.9443, aux.loss_ce: 0.0695, aux.acc_seg: 75.5152, loss: 0.1903 +2022-03-15 13:36:21,991 - mmseg - INFO - Iter [156300/160000] lr: 3.321e-08, eta: 0:54:03, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1250, decode.acc_seg: 77.4624, aux.loss_ce: 0.0698, aux.acc_seg: 76.1725, loss: 0.1948 +2022-03-15 13:37:05,488 - mmseg - INFO - Iter [156350/160000] lr: 3.276e-08, eta: 0:53:19, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1253, decode.acc_seg: 77.7241, aux.loss_ce: 0.0707, aux.acc_seg: 76.3764, loss: 0.1959 +2022-03-15 13:37:49,013 - mmseg - INFO - Iter [156400/160000] lr: 3.231e-08, eta: 0:52:36, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1218, decode.acc_seg: 76.2493, aux.loss_ce: 0.0699, aux.acc_seg: 74.8768, loss: 0.1917 +2022-03-15 13:38:32,280 - mmseg - INFO - Iter [156450/160000] lr: 3.187e-08, eta: 0:51:52, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1187, decode.acc_seg: 76.6397, aux.loss_ce: 0.0678, aux.acc_seg: 75.2898, loss: 0.1865 +2022-03-15 13:39:15,946 - mmseg - INFO - Iter [156500/160000] lr: 3.142e-08, eta: 0:51:08, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 76.9707, aux.loss_ce: 0.0685, aux.acc_seg: 75.6094, loss: 0.1900 +2022-03-15 13:39:59,453 - mmseg - INFO - Iter [156550/160000] lr: 3.097e-08, eta: 0:50:24, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1251, decode.acc_seg: 76.7823, aux.loss_ce: 0.0718, aux.acc_seg: 75.2870, loss: 0.1969 +2022-03-15 13:40:43,145 - mmseg - INFO - Iter [156600/160000] lr: 3.052e-08, eta: 0:49:40, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1223, decode.acc_seg: 78.4415, aux.loss_ce: 0.0688, aux.acc_seg: 77.1408, loss: 0.1911 +2022-03-15 13:41:28,840 - mmseg - INFO - Iter [156650/160000] lr: 3.007e-08, eta: 0:48:56, time: 0.914, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1175, decode.acc_seg: 76.6034, aux.loss_ce: 0.0673, aux.acc_seg: 75.2150, loss: 0.1849 +2022-03-15 13:42:12,147 - mmseg - INFO - Iter [156700/160000] lr: 2.962e-08, eta: 0:48:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1210, decode.acc_seg: 76.4114, aux.loss_ce: 0.0673, aux.acc_seg: 75.1112, loss: 0.1883 +2022-03-15 13:42:55,706 - mmseg - INFO - Iter [156750/160000] lr: 2.917e-08, eta: 0:47:29, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1195, decode.acc_seg: 76.4684, aux.loss_ce: 0.0672, aux.acc_seg: 75.1884, loss: 0.1867 +2022-03-15 13:43:39,263 - mmseg - INFO - Iter [156800/160000] lr: 2.872e-08, eta: 0:46:45, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1204, decode.acc_seg: 76.9025, aux.loss_ce: 0.0696, aux.acc_seg: 75.5453, loss: 0.1900 +2022-03-15 13:44:22,561 - mmseg - INFO - Iter [156850/160000] lr: 2.828e-08, eta: 0:46:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1257, decode.acc_seg: 77.7443, aux.loss_ce: 0.0717, aux.acc_seg: 76.2413, loss: 0.1974 +2022-03-15 13:45:06,135 - mmseg - INFO - Iter [156900/160000] lr: 2.783e-08, eta: 0:45:17, time: 0.871, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1247, decode.acc_seg: 76.8889, aux.loss_ce: 0.0715, aux.acc_seg: 75.3891, loss: 0.1963 +2022-03-15 13:45:49,431 - mmseg - INFO - Iter [156950/160000] lr: 2.738e-08, eta: 0:44:33, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1219, decode.acc_seg: 76.6209, aux.loss_ce: 0.0699, aux.acc_seg: 75.2416, loss: 0.1917 +2022-03-15 13:46:33,028 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 13:46:33,031 - mmseg - INFO - Iter [157000/160000] lr: 2.693e-08, eta: 0:43:50, time: 0.872, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1173, decode.acc_seg: 76.9441, aux.loss_ce: 0.0670, aux.acc_seg: 75.5696, loss: 0.1843 +2022-03-15 13:47:16,452 - mmseg - INFO - Iter [157050/160000] lr: 2.648e-08, eta: 0:43:06, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1141, decode.acc_seg: 76.6695, aux.loss_ce: 0.0636, aux.acc_seg: 75.5485, loss: 0.1777 +2022-03-15 13:47:59,831 - mmseg - INFO - Iter [157100/160000] lr: 2.603e-08, eta: 0:42:22, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1265, decode.acc_seg: 76.6427, aux.loss_ce: 0.0720, aux.acc_seg: 75.1545, loss: 0.1984 +2022-03-15 13:48:43,252 - mmseg - INFO - Iter [157150/160000] lr: 2.558e-08, eta: 0:41:38, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 76.6554, aux.loss_ce: 0.0676, aux.acc_seg: 75.3185, loss: 0.1868 +2022-03-15 13:49:26,474 - mmseg - INFO - Iter [157200/160000] lr: 2.514e-08, eta: 0:40:54, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 77.7876, aux.loss_ce: 0.0693, aux.acc_seg: 76.4688, loss: 0.1935 +2022-03-15 13:50:09,663 - mmseg - INFO - Iter [157250/160000] lr: 2.469e-08, eta: 0:40:10, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 75.1285, aux.loss_ce: 0.0690, aux.acc_seg: 73.7342, loss: 0.1919 +2022-03-15 13:50:52,889 - mmseg - INFO - Iter [157300/160000] lr: 2.424e-08, eta: 0:39:26, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1108, decode.acc_seg: 75.9729, aux.loss_ce: 0.0632, aux.acc_seg: 74.6779, loss: 0.1740 +2022-03-15 13:51:36,405 - mmseg - INFO - Iter [157350/160000] lr: 2.379e-08, eta: 0:38:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1190, decode.acc_seg: 77.4134, aux.loss_ce: 0.0663, aux.acc_seg: 76.0788, loss: 0.1853 +2022-03-15 13:52:19,839 - mmseg - INFO - Iter [157400/160000] lr: 2.334e-08, eta: 0:37:59, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1237, decode.acc_seg: 75.4429, aux.loss_ce: 0.0699, aux.acc_seg: 74.1470, loss: 0.1936 +2022-03-15 13:53:03,019 - mmseg - INFO - Iter [157450/160000] lr: 2.289e-08, eta: 0:37:15, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1188, decode.acc_seg: 76.9477, aux.loss_ce: 0.0681, aux.acc_seg: 75.4852, loss: 0.1869 +2022-03-15 13:53:46,337 - mmseg - INFO - Iter [157500/160000] lr: 2.244e-08, eta: 0:36:31, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1235, decode.acc_seg: 76.0046, aux.loss_ce: 0.0697, aux.acc_seg: 74.6891, loss: 0.1932 +2022-03-15 13:54:29,636 - mmseg - INFO - Iter [157550/160000] lr: 2.199e-08, eta: 0:35:47, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1205, decode.acc_seg: 76.3477, aux.loss_ce: 0.0686, aux.acc_seg: 74.9519, loss: 0.1890 +2022-03-15 13:55:13,073 - mmseg - INFO - Iter [157600/160000] lr: 2.155e-08, eta: 0:35:03, time: 0.869, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1227, decode.acc_seg: 75.9088, aux.loss_ce: 0.0686, aux.acc_seg: 74.6209, loss: 0.1913 +2022-03-15 13:55:56,383 - mmseg - INFO - Iter [157650/160000] lr: 2.110e-08, eta: 0:34:20, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1179, decode.acc_seg: 75.9144, aux.loss_ce: 0.0666, aux.acc_seg: 74.6411, loss: 0.1845 +2022-03-15 13:56:39,780 - mmseg - INFO - Iter [157700/160000] lr: 2.065e-08, eta: 0:33:36, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1186, decode.acc_seg: 78.2390, aux.loss_ce: 0.0673, aux.acc_seg: 76.9258, loss: 0.1860 +2022-03-15 13:57:23,230 - mmseg - INFO - Iter [157750/160000] lr: 2.020e-08, eta: 0:32:52, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1119, decode.acc_seg: 77.1689, aux.loss_ce: 0.0633, aux.acc_seg: 75.8615, loss: 0.1752 +2022-03-15 13:58:06,572 - mmseg - INFO - Iter [157800/160000] lr: 1.975e-08, eta: 0:32:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1202, decode.acc_seg: 78.2033, aux.loss_ce: 0.0672, aux.acc_seg: 76.8683, loss: 0.1874 +2022-03-15 13:58:49,755 - mmseg - INFO - Iter [157850/160000] lr: 1.930e-08, eta: 0:31:24, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1176, decode.acc_seg: 77.7706, aux.loss_ce: 0.0665, aux.acc_seg: 76.5041, loss: 0.1841 +2022-03-15 13:59:35,811 - mmseg - INFO - Iter [157900/160000] lr: 1.885e-08, eta: 0:30:40, time: 0.921, data_time: 0.054, memory: 73034, decode.loss_ce: 0.1233, decode.acc_seg: 76.1340, aux.loss_ce: 0.0689, aux.acc_seg: 74.8094, loss: 0.1921 +2022-03-15 14:00:19,245 - mmseg - INFO - Iter [157950/160000] lr: 1.841e-08, eta: 0:29:57, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1191, decode.acc_seg: 77.0301, aux.loss_ce: 0.0678, aux.acc_seg: 75.6785, loss: 0.1869 +2022-03-15 14:01:02,555 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 14:01:02,562 - mmseg - INFO - Iter [158000/160000] lr: 1.796e-08, eta: 0:29:13, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1197, decode.acc_seg: 74.8658, aux.loss_ce: 0.0685, aux.acc_seg: 73.4375, loss: 0.1882 +2022-03-15 14:01:46,148 - mmseg - INFO - Iter [158050/160000] lr: 1.751e-08, eta: 0:28:29, time: 0.872, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1134, decode.acc_seg: 77.3695, aux.loss_ce: 0.0651, aux.acc_seg: 76.0850, loss: 0.1785 +2022-03-15 14:02:29,500 - mmseg - INFO - Iter [158100/160000] lr: 1.706e-08, eta: 0:27:45, time: 0.867, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1225, decode.acc_seg: 76.6453, aux.loss_ce: 0.0689, aux.acc_seg: 75.2828, loss: 0.1913 +2022-03-15 14:03:12,786 - mmseg - INFO - Iter [158150/160000] lr: 1.661e-08, eta: 0:27:01, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1280, decode.acc_seg: 76.6238, aux.loss_ce: 0.0724, aux.acc_seg: 75.1397, loss: 0.2004 +2022-03-15 14:03:56,437 - mmseg - INFO - Iter [158200/160000] lr: 1.616e-08, eta: 0:26:17, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1187, decode.acc_seg: 75.9748, aux.loss_ce: 0.0680, aux.acc_seg: 74.5305, loss: 0.1866 +2022-03-15 14:04:39,685 - mmseg - INFO - Iter [158250/160000] lr: 1.571e-08, eta: 0:25:34, time: 0.865, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1212, decode.acc_seg: 77.0991, aux.loss_ce: 0.0682, aux.acc_seg: 75.8278, loss: 0.1894 +2022-03-15 14:05:23,113 - mmseg - INFO - Iter [158300/160000] lr: 1.526e-08, eta: 0:24:50, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1157, decode.acc_seg: 76.3577, aux.loss_ce: 0.0661, aux.acc_seg: 74.9769, loss: 0.1818 +2022-03-15 14:06:06,582 - mmseg - INFO - Iter [158350/160000] lr: 1.482e-08, eta: 0:24:06, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1174, decode.acc_seg: 76.6322, aux.loss_ce: 0.0664, aux.acc_seg: 75.3413, loss: 0.1838 +2022-03-15 14:06:50,159 - mmseg - INFO - Iter [158400/160000] lr: 1.437e-08, eta: 0:23:22, time: 0.872, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1149, decode.acc_seg: 75.8918, aux.loss_ce: 0.0645, aux.acc_seg: 74.6374, loss: 0.1794 +2022-03-15 14:07:33,595 - mmseg - INFO - Iter [158450/160000] lr: 1.392e-08, eta: 0:22:38, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1183, decode.acc_seg: 76.9016, aux.loss_ce: 0.0678, aux.acc_seg: 75.4962, loss: 0.1861 +2022-03-15 14:08:16,968 - mmseg - INFO - Iter [158500/160000] lr: 1.347e-08, eta: 0:21:54, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1185, decode.acc_seg: 77.2800, aux.loss_ce: 0.0655, aux.acc_seg: 76.1634, loss: 0.1841 +2022-03-15 14:09:00,196 - mmseg - INFO - Iter [158550/160000] lr: 1.302e-08, eta: 0:21:11, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1136, decode.acc_seg: 75.1945, aux.loss_ce: 0.0647, aux.acc_seg: 73.9110, loss: 0.1783 +2022-03-15 14:09:43,558 - mmseg - INFO - Iter [158600/160000] lr: 1.257e-08, eta: 0:20:27, time: 0.867, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1222, decode.acc_seg: 75.8619, aux.loss_ce: 0.0695, aux.acc_seg: 74.4708, loss: 0.1917 +2022-03-15 14:10:27,041 - mmseg - INFO - Iter [158650/160000] lr: 1.212e-08, eta: 0:19:43, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1179, decode.acc_seg: 77.1320, aux.loss_ce: 0.0662, aux.acc_seg: 75.8296, loss: 0.1841 +2022-03-15 14:11:10,307 - mmseg - INFO - Iter [158700/160000] lr: 1.167e-08, eta: 0:18:59, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1229, decode.acc_seg: 76.8858, aux.loss_ce: 0.0701, aux.acc_seg: 75.4255, loss: 0.1930 +2022-03-15 14:11:53,948 - mmseg - INFO - Iter [158750/160000] lr: 1.123e-08, eta: 0:18:15, time: 0.873, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1203, decode.acc_seg: 76.3923, aux.loss_ce: 0.0676, aux.acc_seg: 75.1216, loss: 0.1879 +2022-03-15 14:12:37,687 - mmseg - INFO - Iter [158800/160000] lr: 1.078e-08, eta: 0:17:31, time: 0.875, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1168, decode.acc_seg: 77.0188, aux.loss_ce: 0.0659, aux.acc_seg: 75.7133, loss: 0.1827 +2022-03-15 14:13:21,201 - mmseg - INFO - Iter [158850/160000] lr: 1.033e-08, eta: 0:16:48, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1297, decode.acc_seg: 77.0236, aux.loss_ce: 0.0722, aux.acc_seg: 75.5910, loss: 0.2019 +2022-03-15 14:14:04,591 - mmseg - INFO - Iter [158900/160000] lr: 9.880e-09, eta: 0:16:04, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1211, decode.acc_seg: 77.3895, aux.loss_ce: 0.0677, aux.acc_seg: 76.1464, loss: 0.1888 +2022-03-15 14:14:48,108 - mmseg - INFO - Iter [158950/160000] lr: 9.431e-09, eta: 0:15:20, time: 0.870, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1207, decode.acc_seg: 76.0267, aux.loss_ce: 0.0690, aux.acc_seg: 74.6467, loss: 0.1897 +2022-03-15 14:15:31,428 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 14:15:31,444 - mmseg - INFO - Iter [159000/160000] lr: 8.983e-09, eta: 0:14:36, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1242, decode.acc_seg: 77.2971, aux.loss_ce: 0.0708, aux.acc_seg: 75.8419, loss: 0.1950 +2022-03-15 14:16:14,743 - mmseg - INFO - Iter [159050/160000] lr: 8.534e-09, eta: 0:13:52, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1125, decode.acc_seg: 77.1287, aux.loss_ce: 0.0634, aux.acc_seg: 75.8561, loss: 0.1759 +2022-03-15 14:16:58,104 - mmseg - INFO - Iter [159100/160000] lr: 8.085e-09, eta: 0:13:08, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1273, decode.acc_seg: 76.5364, aux.loss_ce: 0.0723, aux.acc_seg: 75.0706, loss: 0.1996 +2022-03-15 14:17:43,776 - mmseg - INFO - Iter [159150/160000] lr: 7.637e-09, eta: 0:12:25, time: 0.913, data_time: 0.051, memory: 73034, decode.loss_ce: 0.1259, decode.acc_seg: 76.5708, aux.loss_ce: 0.0707, aux.acc_seg: 75.1875, loss: 0.1965 +2022-03-15 14:18:27,126 - mmseg - INFO - Iter [159200/160000] lr: 7.188e-09, eta: 0:11:41, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1232, decode.acc_seg: 78.2219, aux.loss_ce: 0.0708, aux.acc_seg: 76.7945, loss: 0.1940 +2022-03-15 14:19:10,304 - mmseg - INFO - Iter [159250/160000] lr: 6.739e-09, eta: 0:10:57, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1161, decode.acc_seg: 76.7804, aux.loss_ce: 0.0655, aux.acc_seg: 75.5426, loss: 0.1816 +2022-03-15 14:19:53,575 - mmseg - INFO - Iter [159300/160000] lr: 6.291e-09, eta: 0:10:13, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1223, decode.acc_seg: 77.7454, aux.loss_ce: 0.0695, aux.acc_seg: 76.2830, loss: 0.1917 +2022-03-15 14:20:36,908 - mmseg - INFO - Iter [159350/160000] lr: 5.842e-09, eta: 0:09:29, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 76.0335, aux.loss_ce: 0.0693, aux.acc_seg: 74.6383, loss: 0.1893 +2022-03-15 14:21:20,371 - mmseg - INFO - Iter [159400/160000] lr: 5.393e-09, eta: 0:08:45, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1189, decode.acc_seg: 76.8162, aux.loss_ce: 0.0653, aux.acc_seg: 75.5779, loss: 0.1842 +2022-03-15 14:22:03,657 - mmseg - INFO - Iter [159450/160000] lr: 4.945e-09, eta: 0:08:02, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1154, decode.acc_seg: 76.8445, aux.loss_ce: 0.0643, aux.acc_seg: 75.6178, loss: 0.1797 +2022-03-15 14:22:47,359 - mmseg - INFO - Iter [159500/160000] lr: 4.496e-09, eta: 0:07:18, time: 0.874, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1188, decode.acc_seg: 75.9800, aux.loss_ce: 0.0676, aux.acc_seg: 74.6794, loss: 0.1864 +2022-03-15 14:23:30,824 - mmseg - INFO - Iter [159550/160000] lr: 4.047e-09, eta: 0:06:34, time: 0.870, data_time: 0.006, memory: 73034, decode.loss_ce: 0.1281, decode.acc_seg: 76.7289, aux.loss_ce: 0.0732, aux.acc_seg: 75.3221, loss: 0.2013 +2022-03-15 14:24:14,042 - mmseg - INFO - Iter [159600/160000] lr: 3.598e-09, eta: 0:05:50, time: 0.864, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1215, decode.acc_seg: 78.8425, aux.loss_ce: 0.0705, aux.acc_seg: 77.3284, loss: 0.1920 +2022-03-15 14:24:57,648 - mmseg - INFO - Iter [159650/160000] lr: 3.150e-09, eta: 0:05:06, time: 0.872, data_time: 0.009, memory: 73034, decode.loss_ce: 0.1192, decode.acc_seg: 77.5279, aux.loss_ce: 0.0685, aux.acc_seg: 76.1787, loss: 0.1877 +2022-03-15 14:25:41,066 - mmseg - INFO - Iter [159700/160000] lr: 2.701e-09, eta: 0:04:22, time: 0.868, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 75.4375, aux.loss_ce: 0.0671, aux.acc_seg: 74.1409, loss: 0.1872 +2022-03-15 14:26:24,527 - mmseg - INFO - Iter [159750/160000] lr: 2.252e-09, eta: 0:03:39, time: 0.869, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1233, decode.acc_seg: 75.9229, aux.loss_ce: 0.0690, aux.acc_seg: 74.6286, loss: 0.1923 +2022-03-15 14:27:07,785 - mmseg - INFO - Iter [159800/160000] lr: 1.804e-09, eta: 0:02:55, time: 0.865, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1188, decode.acc_seg: 77.2317, aux.loss_ce: 0.0668, aux.acc_seg: 75.9438, loss: 0.1856 +2022-03-15 14:27:51,088 - mmseg - INFO - Iter [159850/160000] lr: 1.355e-09, eta: 0:02:11, time: 0.866, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1170, decode.acc_seg: 75.5855, aux.loss_ce: 0.0683, aux.acc_seg: 74.1600, loss: 0.1853 +2022-03-15 14:28:34,442 - mmseg - INFO - Iter [159900/160000] lr: 9.063e-10, eta: 0:01:27, time: 0.867, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1249, decode.acc_seg: 76.8819, aux.loss_ce: 0.0696, aux.acc_seg: 75.5724, loss: 0.1945 +2022-03-15 14:29:17,915 - mmseg - INFO - Iter [159950/160000] lr: 4.577e-10, eta: 0:00:43, time: 0.870, data_time: 0.007, memory: 73034, decode.loss_ce: 0.1200, decode.acc_seg: 77.7045, aux.loss_ce: 0.0677, aux.acc_seg: 76.4106, loss: 0.1876 +2022-03-15 14:30:01,276 - mmseg - INFO - Saving checkpoint at 160000 iterations +2022-03-15 14:30:12,043 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 14:30:12,044 - mmseg - INFO - Iter [160000/160000] lr: 8.974e-12, eta: 0:00:00, time: 1.083, data_time: 0.005, memory: 73034, decode.loss_ce: 0.1150, decode.acc_seg: 76.9257, aux.loss_ce: 0.0653, aux.acc_seg: 75.6043, loss: 0.1802 +2022-03-15 14:31:34,455 - mmseg - INFO - per class results: +2022-03-15 14:31:34,465 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 81.93 | 89.9 | +| building | 84.43 | 93.59 | +| sky | 94.82 | 97.54 | +| floor | 84.26 | 91.65 | +| tree | 76.8 | 88.77 | +| ceiling | 86.69 | 94.13 | +| road | 85.66 | 91.36 | +| bed | 92.33 | 97.46 | +| windowpane | 64.69 | 80.38 | +| grass | 69.66 | 84.26 | +| cabinet | 66.29 | 77.0 | +| sidewalk | 70.76 | 84.58 | +| person | 85.04 | 94.76 | +| earth | 39.2 | 52.37 | +| door | 57.72 | 71.28 | +| table | 70.1 | 81.66 | +| mountain | 63.17 | 74.04 | +| plant | 54.77 | 67.46 | +| curtain | 77.31 | 88.68 | +| chair | 65.01 | 75.86 | +| car | 87.78 | 94.21 | +| water | 64.1 | 78.63 | +| painting | 76.63 | 91.8 | +| sofa | 80.21 | 89.39 | +| shelf | 47.75 | 63.94 | +| house | 48.76 | 58.33 | +| sea | 69.71 | 80.02 | +| mirror | 76.46 | 83.29 | +| rug | 67.33 | 79.98 | +| field | 36.92 | 51.73 | +| armchair | 58.55 | 76.77 | +| seat | 64.6 | 88.7 | +| fence | 45.77 | 60.68 | +| desk | 58.12 | 79.98 | +| rock | 57.52 | 87.33 | +| wardrobe | 55.66 | 73.61 | +| lamp | 73.33 | 83.17 | +| bathtub | 86.39 | 90.37 | +| railing | 39.54 | 54.43 | +| cushion | 66.45 | 80.54 | +| base | 47.93 | 59.15 | +| box | 38.62 | 49.64 | +| column | 52.43 | 66.17 | +| signboard | 42.18 | 55.64 | +| chest of drawers | 42.83 | 61.32 | +| counter | 56.3 | 61.37 | +| sand | 55.98 | 84.34 | +| sink | 81.79 | 88.07 | +| skyscraper | 49.29 | 62.41 | +| fireplace | 79.69 | 90.75 | +| refrigerator | 79.13 | 88.09 | +| grandstand | 52.17 | 85.41 | +| path | 22.97 | 31.1 | +| stairs | 30.33 | 35.64 | +| runway | 72.44 | 96.36 | +| case | 60.64 | 83.37 | +| pool table | 94.95 | 98.08 | +| pillow | 64.15 | 72.5 | +| screen door | 78.72 | 84.26 | +| stairway | 36.8 | 50.64 | +| river | 10.1 | 24.69 | +| bridge | 72.76 | 87.27 | +| bookcase | 49.36 | 69.01 | +| blind | 43.67 | 47.5 | +| coffee table | 65.97 | 86.32 | +| toilet | 90.01 | 94.44 | +| flower | 51.92 | 66.9 | +| book | 52.35 | 74.62 | +| hill | 10.58 | 15.68 | +| bench | 53.62 | 61.52 | +| countertop | 63.26 | 82.98 | +| stove | 81.83 | 88.95 | +| palm | 54.82 | 84.16 | +| kitchen island | 49.17 | 78.17 | +| computer | 79.85 | 90.65 | +| swivel chair | 45.81 | 71.28 | +| boat | 72.85 | 92.14 | +| bar | 69.05 | 84.13 | +| arcade machine | 86.88 | 90.9 | +| hovel | 51.59 | 53.54 | +| bus | 92.39 | 97.38 | +| towel | 73.75 | 82.1 | +| light | 60.63 | 69.98 | +| truck | 49.73 | 63.12 | +| tower | 38.76 | 66.3 | +| chandelier | 73.11 | 85.23 | +| awning | 38.27 | 48.29 | +| streetlight | 38.18 | 50.95 | +| booth | 58.19 | 66.01 | +| television receiver | 80.12 | 88.6 | +| airplane | 70.42 | 77.71 | +| dirt track | 0.09 | 0.52 | +| apparel | 53.56 | 69.77 | +| pole | 32.6 | 43.9 | +| land | 0.64 | 0.83 | +| bannister | 18.06 | 25.0 | +| escalator | 57.53 | 83.88 | +| ottoman | 50.96 | 69.72 | +| bottle | 43.07 | 71.2 | +| buffet | 61.3 | 70.06 | +| poster | 37.1 | 46.9 | +| stage | 20.49 | 35.62 | +| van | 44.68 | 62.76 | +| ship | 75.63 | 91.46 | +| fountain | 42.69 | 43.62 | +| conveyer belt | 83.72 | 94.88 | +| canopy | 46.76 | 65.58 | +| washer | 88.3 | 93.91 | +| plaything | 32.96 | 48.39 | +| swimming pool | 78.9 | 85.2 | +| stool | 55.25 | 68.45 | +| barrel | 75.63 | 93.99 | +| basket | 46.68 | 59.73 | +| waterfall | 51.9 | 58.62 | +| tent | 89.82 | 99.0 | +| bag | 22.35 | 25.38 | +| minibike | 75.46 | 90.8 | +| cradle | 85.94 | 97.76 | +| oven | 55.76 | 72.46 | +| ball | 61.67 | 69.89 | +| food | 54.07 | 68.26 | +| step | 16.19 | 19.1 | +| tank | 62.41 | 67.19 | +| trade name | 23.5 | 26.62 | +| microwave | 85.31 | 95.17 | +| pot | 56.28 | 65.18 | +| animal | 65.38 | 66.85 | +| bicycle | 61.62 | 78.21 | +| lake | 55.71 | 63.76 | +| dishwasher | 73.13 | 80.63 | +| screen | 65.23 | 88.09 | +| blanket | 21.66 | 25.84 | +| sculpture | 80.92 | 88.3 | +| hood | 61.39 | 75.52 | +| sconce | 60.59 | 71.53 | +| vase | 48.95 | 64.76 | +| traffic light | 45.75 | 65.96 | +| tray | 25.17 | 32.23 | +| ashcan | 47.58 | 64.26 | +| fan | 71.69 | 82.23 | +| pier | 62.76 | 71.49 | +| crt screen | 12.06 | 20.83 | +| plate | 63.72 | 80.93 | +| monitor | 44.8 | 52.34 | +| bulletin board | 49.56 | 57.98 | +| shower | 17.14 | 22.24 | +| radiator | 65.21 | 76.79 | +| glass | 23.51 | 25.23 | +| clock | 50.81 | 67.69 | +| flag | 42.49 | 47.83 | ++---------------------+-------+-------+ +2022-03-15 14:31:34,466 - mmseg - INFO - Summary: +2022-03-15 14:31:34,466 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 86.0 | 58.03 | 70.14 | ++------+-------+-------+ +2022-03-15 14:31:34,471 - mmseg - INFO - Exp name: upernet_beit_large_24_adapter_640_slide_160k_ade20k_pt2ft_try4.py +2022-03-15 14:31:34,472 - mmseg - INFO - Iter(val) [250] aAcc: 0.8600, mIoU: 0.5803, mAcc: 0.7014, IoU.wall: 0.8193, IoU.building: 0.8443, IoU.sky: 0.9482, IoU.floor: 0.8426, IoU.tree: 0.7680, IoU.ceiling: 0.8669, IoU.road: 0.8566, IoU.bed : 0.9233, IoU.windowpane: 0.6469, IoU.grass: 0.6966, IoU.cabinet: 0.6629, IoU.sidewalk: 0.7076, IoU.person: 0.8504, IoU.earth: 0.3920, IoU.door: 0.5772, IoU.table: 0.7010, IoU.mountain: 0.6317, IoU.plant: 0.5477, IoU.curtain: 0.7731, IoU.chair: 0.6501, IoU.car: 0.8778, IoU.water: 0.6410, IoU.painting: 0.7663, IoU.sofa: 0.8021, IoU.shelf: 0.4775, IoU.house: 0.4876, IoU.sea: 0.6971, IoU.mirror: 0.7646, IoU.rug: 0.6733, IoU.field: 0.3692, IoU.armchair: 0.5855, IoU.seat: 0.6460, IoU.fence: 0.4577, IoU.desk: 0.5812, IoU.rock: 0.5752, IoU.wardrobe: 0.5566, IoU.lamp: 0.7333, IoU.bathtub: 0.8639, IoU.railing: 0.3954, IoU.cushion: 0.6645, IoU.base: 0.4793, IoU.box: 0.3862, IoU.column: 0.5243, IoU.signboard: 0.4218, IoU.chest of drawers: 0.4283, IoU.counter: 0.5630, IoU.sand: 0.5598, IoU.sink: 0.8179, IoU.skyscraper: 0.4929, IoU.fireplace: 0.7969, IoU.refrigerator: 0.7913, IoU.grandstand: 0.5217, IoU.path: 0.2297, IoU.stairs: 0.3033, IoU.runway: 0.7244, IoU.case: 0.6064, IoU.pool table: 0.9495, IoU.pillow: 0.6415, IoU.screen door: 0.7872, IoU.stairway: 0.3680, IoU.river: 0.1010, IoU.bridge: 0.7276, IoU.bookcase: 0.4936, IoU.blind: 0.4367, IoU.coffee table: 0.6597, IoU.toilet: 0.9001, IoU.flower: 0.5192, IoU.book: 0.5235, IoU.hill: 0.1058, IoU.bench: 0.5362, IoU.countertop: 0.6326, IoU.stove: 0.8183, IoU.palm: 0.5482, IoU.kitchen island: 0.4917, IoU.computer: 0.7985, IoU.swivel chair: 0.4581, IoU.boat: 0.7285, IoU.bar: 0.6905, IoU.arcade machine: 0.8688, IoU.hovel: 0.5159, IoU.bus: 0.9239, IoU.towel: 0.7375, IoU.light: 0.6063, IoU.truck: 0.4973, IoU.tower: 0.3876, IoU.chandelier: 0.7311, IoU.awning: 0.3827, IoU.streetlight: 0.3818, IoU.booth: 0.5819, IoU.television receiver: 0.8012, IoU.airplane: 0.7042, IoU.dirt track: 0.0009, IoU.apparel: 0.5356, IoU.pole: 0.3260, IoU.land: 0.0064, IoU.bannister: 0.1806, IoU.escalator: 0.5753, IoU.ottoman: 0.5096, IoU.bottle: 0.4307, IoU.buffet: 0.6130, IoU.poster: 0.3710, IoU.stage: 0.2049, IoU.van: 0.4468, IoU.ship: 0.7563, IoU.fountain: 0.4269, IoU.conveyer belt: 0.8372, IoU.canopy: 0.4676, IoU.washer: 0.8830, IoU.plaything: 0.3296, IoU.swimming pool: 0.7890, IoU.stool: 0.5525, IoU.barrel: 0.7563, IoU.basket: 0.4668, IoU.waterfall: 0.5190, IoU.tent: 0.8982, IoU.bag: 0.2235, IoU.minibike: 0.7546, IoU.cradle: 0.8594, IoU.oven: 0.5576, IoU.ball: 0.6167, IoU.food: 0.5407, IoU.step: 0.1619, IoU.tank: 0.6241, IoU.trade name: 0.2350, IoU.microwave: 0.8531, IoU.pot: 0.5628, IoU.animal: 0.6538, IoU.bicycle: 0.6162, IoU.lake: 0.5571, IoU.dishwasher: 0.7313, IoU.screen: 0.6523, IoU.blanket: 0.2166, IoU.sculpture: 0.8092, IoU.hood: 0.6139, IoU.sconce: 0.6059, IoU.vase: 0.4895, IoU.traffic light: 0.4575, IoU.tray: 0.2517, IoU.ashcan: 0.4758, IoU.fan: 0.7169, IoU.pier: 0.6276, IoU.crt screen: 0.1206, IoU.plate: 0.6372, IoU.monitor: 0.4480, IoU.bulletin board: 0.4956, IoU.shower: 0.1714, IoU.radiator: 0.6521, IoU.glass: 0.2351, IoU.clock: 0.5081, IoU.flag: 0.4249, Acc.wall: 0.8990, Acc.building: 0.9359, Acc.sky: 0.9754, Acc.floor: 0.9165, Acc.tree: 0.8877, Acc.ceiling: 0.9413, Acc.road: 0.9136, Acc.bed : 0.9746, Acc.windowpane: 0.8038, Acc.grass: 0.8426, Acc.cabinet: 0.7700, Acc.sidewalk: 0.8458, Acc.person: 0.9476, Acc.earth: 0.5237, Acc.door: 0.7128, Acc.table: 0.8166, Acc.mountain: 0.7404, Acc.plant: 0.6746, Acc.curtain: 0.8868, Acc.chair: 0.7586, Acc.car: 0.9421, Acc.water: 0.7863, Acc.painting: 0.9180, Acc.sofa: 0.8939, Acc.shelf: 0.6394, Acc.house: 0.5833, Acc.sea: 0.8002, Acc.mirror: 0.8329, Acc.rug: 0.7998, Acc.field: 0.5173, Acc.armchair: 0.7677, Acc.seat: 0.8870, Acc.fence: 0.6068, Acc.desk: 0.7998, Acc.rock: 0.8733, Acc.wardrobe: 0.7361, Acc.lamp: 0.8317, Acc.bathtub: 0.9037, Acc.railing: 0.5443, Acc.cushion: 0.8054, Acc.base: 0.5915, Acc.box: 0.4964, Acc.column: 0.6617, Acc.signboard: 0.5564, Acc.chest of drawers: 0.6132, Acc.counter: 0.6137, Acc.sand: 0.8434, Acc.sink: 0.8807, Acc.skyscraper: 0.6241, Acc.fireplace: 0.9075, Acc.refrigerator: 0.8809, Acc.grandstand: 0.8541, Acc.path: 0.3110, Acc.stairs: 0.3564, Acc.runway: 0.9636, Acc.case: 0.8337, Acc.pool table: 0.9808, Acc.pillow: 0.7250, Acc.screen door: 0.8426, Acc.stairway: 0.5064, Acc.river: 0.2469, Acc.bridge: 0.8727, Acc.bookcase: 0.6901, Acc.blind: 0.4750, Acc.coffee table: 0.8632, Acc.toilet: 0.9444, Acc.flower: 0.6690, Acc.book: 0.7462, Acc.hill: 0.1568, Acc.bench: 0.6152, Acc.countertop: 0.8298, Acc.stove: 0.8895, Acc.palm: 0.8416, Acc.kitchen island: 0.7817, Acc.computer: 0.9065, Acc.swivel chair: 0.7128, Acc.boat: 0.9214, Acc.bar: 0.8413, Acc.arcade machine: 0.9090, Acc.hovel: 0.5354, Acc.bus: 0.9738, Acc.towel: 0.8210, Acc.light: 0.6998, Acc.truck: 0.6312, Acc.tower: 0.6630, Acc.chandelier: 0.8523, Acc.awning: 0.4829, Acc.streetlight: 0.5095, Acc.booth: 0.6601, Acc.television receiver: 0.8860, Acc.airplane: 0.7771, Acc.dirt track: 0.0052, Acc.apparel: 0.6977, Acc.pole: 0.4390, Acc.land: 0.0083, Acc.bannister: 0.2500, Acc.escalator: 0.8388, Acc.ottoman: 0.6972, Acc.bottle: 0.7120, Acc.buffet: 0.7006, Acc.poster: 0.4690, Acc.stage: 0.3562, Acc.van: 0.6276, Acc.ship: 0.9146, Acc.fountain: 0.4362, Acc.conveyer belt: 0.9488, Acc.canopy: 0.6558, Acc.washer: 0.9391, Acc.plaything: 0.4839, Acc.swimming pool: 0.8520, Acc.stool: 0.6845, Acc.barrel: 0.9399, Acc.basket: 0.5973, Acc.waterfall: 0.5862, Acc.tent: 0.9900, Acc.bag: 0.2538, Acc.minibike: 0.9080, Acc.cradle: 0.9776, Acc.oven: 0.7246, Acc.ball: 0.6989, Acc.food: 0.6826, Acc.step: 0.1910, Acc.tank: 0.6719, Acc.trade name: 0.2662, Acc.microwave: 0.9517, Acc.pot: 0.6518, Acc.animal: 0.6685, Acc.bicycle: 0.7821, Acc.lake: 0.6376, Acc.dishwasher: 0.8063, Acc.screen: 0.8809, Acc.blanket: 0.2584, Acc.sculpture: 0.8830, Acc.hood: 0.7552, Acc.sconce: 0.7153, Acc.vase: 0.6476, Acc.traffic light: 0.6596, Acc.tray: 0.3223, Acc.ashcan: 0.6426, Acc.fan: 0.8223, Acc.pier: 0.7149, Acc.crt screen: 0.2083, Acc.plate: 0.8093, Acc.monitor: 0.5234, Acc.bulletin board: 0.5798, Acc.shower: 0.2224, Acc.radiator: 0.7679, Acc.glass: 0.2523, Acc.clock: 0.6769, Acc.flag: 0.4783