2022-09-15 11:26:37,666 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 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: 4.6.0 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.21.0+abdbbac ------------------------------------------------------------ 2022-09-15 11:26:37,666 - mmseg - INFO - Distributed training: True 2022-09-15 11:26:38,403 - mmseg - INFO - Config: num_things_classes = 100 num_stuff_classes = 50 num_classes = 150 norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoderMask2Former', pretrained='pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth', backbone=dict( type='BEiTAdapter', 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=896, init_values=1e-06, drop_path_rate=0.3, conv_inplane=64, n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, with_cp=True, interaction_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]]), decode_head=dict( type='Mask2FormerHead', in_channels=[1024, 1024, 1024, 1024], feat_channels=1024, out_channels=1024, in_index=[0, 1, 2, 3], num_things_classes=100, num_stuff_classes=50, num_queries=200, num_transformer_feat_level=3, pixel_decoder=dict( type='MSDeformAttnPixelDecoder', num_outs=3, norm_cfg=dict(type='GN', num_groups=32), act_cfg=dict(type='ReLU'), encoder=dict( type='DetrTransformerEncoder', num_layers=6, transformerlayers=dict( type='BaseTransformerLayer', attn_cfgs=dict( type='MultiScaleDeformableAttention', embed_dims=1024, num_heads=32, num_levels=3, num_points=4, im2col_step=64, dropout=0.0, batch_first=False, norm_cfg=None, init_cfg=None), ffn_cfgs=dict( type='FFN', embed_dims=1024, feedforward_channels=4096, num_fcs=2, ffn_drop=0.0, act_cfg=dict(type='ReLU', inplace=True), with_cp=True), operation_order=('self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), positional_encoding=dict( type='SinePositionalEncoding', num_feats=512, normalize=True), init_cfg=None), enforce_decoder_input_project=False, positional_encoding=dict( type='SinePositionalEncoding', num_feats=512, normalize=True), transformer_decoder=dict( type='DetrTransformerDecoder', return_intermediate=True, num_layers=9, transformerlayers=dict( type='DetrTransformerDecoderLayer', attn_cfgs=dict( type='MultiheadAttention', embed_dims=1024, num_heads=32, attn_drop=0.0, proj_drop=0.0, dropout_layer=None, batch_first=False), ffn_cfgs=dict( embed_dims=1024, feedforward_channels=4096, num_fcs=2, act_cfg=dict(type='ReLU', inplace=True), ffn_drop=0.0, dropout_layer=None, add_identity=True, with_cp=True), feedforward_channels=4096, operation_order=('cross_attn', 'norm', 'self_attn', 'norm', 'ffn', 'norm')), init_cfg=None), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=2.0, reduction='mean', class_weight=[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.1 ]), loss_mask=dict( type='CrossEntropyLoss', use_sigmoid=True, reduction='mean', loss_weight=5.0), loss_dice=dict( type='DiceLoss', use_sigmoid=True, activate=True, reduction='mean', naive_dice=True, eps=1.0, loss_weight=5.0)), train_cfg=dict( num_points=12544, oversample_ratio=3.0, importance_sample_ratio=0.75, assigner=dict( type='MaskHungarianAssigner', cls_cost=dict(type='ClassificationCost', weight=2.0), mask_cost=dict( type='CrossEntropyLossCost', weight=5.0, use_sigmoid=True), dice_cost=dict( type='DiceCost', weight=5.0, pred_act=True, eps=1.0)), sampler=dict(type='MaskPseudoSampler')), test_cfg=dict( panoptic_on=True, semantic_on=False, instance_on=True, max_per_image=100, iou_thr=0.8, filter_low_score=True, mode='slide', crop_size=(896, 896), stride=(512, 512)), init_cfg=None) 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 = (896, 896) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(3584, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), 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=(896, 896), pad_val=0, seg_pad_val=255), dict(type='ToMask'), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_semantic_seg', 'gt_masks', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(3584, 896), 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=1, 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=(3584, 896), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(896, 896), 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=(896, 896), pad_val=0, seg_pad_val=255), dict(type='ToMask'), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_semantic_seg', 'gt_masks', 'gt_labels']) ]), 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=(3584, 896), 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=(3584, 896), 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 = 'pretrained/mask2former_beitv2_adapter_large_896_80k_cocostuff164k.pth' resume_from = 'work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss/best_mIoU_iter_24000.pth' 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=80000) checkpoint_config = dict(by_epoch=False, interval=1000, max_keep_ckpts=1) evaluation = dict( interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') pretrained = 'pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth' work_dir = './work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss' gpu_ids = range(0, 16) auto_resume = False 2022-09-15 11:26:48,054 - mmseg - INFO - Set random seed to 2008348569, deterministic: False 2022-09-15 11:27:21,825 - 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 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 EncoderDecoderMask2Former backbone.level_embed - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.12.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.13.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.14.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.15.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.16.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.17.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.18.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.19.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.20.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.21.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.22.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.relative_position_bias_table - torch.Size([12324, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.23.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.0.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.1.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.2.conv.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.weight - torch.Size([768, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.sampling_offsets.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.attention_weights.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.level_encoding.weight - torch.Size([3, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.conv.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.lateral_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.conv.weight - torch.Size([1024, 1024, 3, 3]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.output_convs.0.gn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.gn.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.mask_feature.weight - torch.Size([1024, 1024, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.mask_feature.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_weight - torch.Size([3072, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.weight - torch.Size([1024, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.weight - torch.Size([4096, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.ffns.0.layers.1.weight - torch.Size([1024, 4096]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_embed.weight - torch.Size([200, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_feat.weight - torch.Size([200, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.level_embed.weight - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.weight - torch.Size([151, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.bias - torch.Size([151]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former 2022-09-15 11:27:51,800 - mmseg - INFO - EncoderDecoderMask2Former( (backbone): BEiTAdapter( (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) ) ) ) (spm): SpatialPriorModule( (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)) ) (interactions): Sequential( (0): InteractionBlockWithCls( (injector): Injector( (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) ) ) (extractor): Extractor( (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): DropPath() ) ) (1): InteractionBlockWithCls( (injector): Injector( (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) ) ) (extractor): Extractor( (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): DropPath() ) ) (2): InteractionBlockWithCls( (injector): Injector( (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) ) ) (extractor): Extractor( (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): DropPath() ) ) (3): InteractionBlockWithCls( (injector): Injector( (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) ) ) (extractor): Extractor( (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): DropPath() ) (extra_extractors): Sequential( (0): Extractor( (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): DropPath() ) (1): Extractor( (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): DropPath() ) ) ) ) (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): Mask2FormerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): None (dropout): Dropout2d(p=0.1, inplace=False) (pixel_decoder): MSDeformAttnPixelDecoder( (input_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) ) (encoder): DetrTransformerEncoder( (layers): ModuleList( (0): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (1): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (2): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (3): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (4): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (5): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=1024, out_features=768, bias=True) (attention_weights): Linear(in_features=1024, out_features=384, bias=True) (value_proj): Linear(in_features=1024, out_features=1024, bias=True) (output_proj): Linear(in_features=1024, out_features=1024, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) ) ) (postional_encoding): SinePositionalEncoding(num_feats=512, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (level_encoding): Embedding(3, 1024) (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) ) ) (output_convs): ModuleList( (0): ConvModule( (conv): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 1024, eps=1e-05, affine=True) (activate): ReLU(inplace=True) ) ) (mask_feature): Conv2d(1024, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (transformer_decoder): DetrTransformerDecoder( (layers): ModuleList( (0): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (1): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (2): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (3): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (4): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (5): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (6): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (7): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (8): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=1024, out_features=1024, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=1024, out_features=4096, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=4096, out_features=1024, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) ) (post_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (decoder_input_projs): ModuleList( (0): Identity() (1): Identity() (2): Identity() ) (decoder_positional_encoding): SinePositionalEncoding(num_feats=512, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (query_embed): Embedding(200, 1024) (query_feat): Embedding(200, 1024) (level_embed): Embedding(3, 1024) (cls_embed): Linear(in_features=1024, out_features=151, bias=True) (mask_embed): Sequential( (0): Linear(in_features=1024, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Linear(in_features=1024, out_features=1024, bias=True) (3): ReLU(inplace=True) (4): Linear(in_features=1024, out_features=1024, bias=True) ) (loss_cls): CrossEntropyLoss(avg_non_ignore=False) (loss_mask): CrossEntropyLoss(avg_non_ignore=False) (loss_dice): DiceLoss() ) ) 2022-09-15 11:27:52,264 - mmseg - INFO - Loaded 20210 images 2022-09-15 11:27:55,031 - mmseg - INFO - Loaded 2000 images 2022-09-15 11:27:55,032 - mmseg - INFO - load checkpoint from local path: work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss/best_mIoU_iter_24000.pth 2022-09-15 11:28:22,589 - mmseg - INFO - resumed from epoch: 8, iter 23999 2022-09-15 11:28:22,592 - mmseg - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-0-239, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss 2022-09-15 11:28:22,593 - 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 -------------------- 2022-09-15 11:28:22,593 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters 2022-09-15 11:28:22,593 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss by HardDiskBackend. 2022-09-15 11:30:22,383 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-09-15 11:30:54,666 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 11:30:54,666 - mmseg - INFO - Iter [24000/80000] lr: 1.005e-06, eta: 1581 days, 18:05:45, time: 48.808, data_time: 0.135, memory: 47124, decode.loss_cls: 0.2468, decode.loss_mask: 0.4368, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.6087, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.3620, decode.d1.loss_mask: 0.4533, decode.d1.loss_dice: 0.6410, decode.d2.loss_cls: 0.2813, decode.d2.loss_mask: 0.4337, decode.d2.loss_dice: 0.6563, decode.d3.loss_cls: 0.3360, decode.d3.loss_mask: 0.4384, decode.d3.loss_dice: 0.6300, decode.d4.loss_cls: 0.2721, decode.d4.loss_mask: 0.4502, decode.d4.loss_dice: 0.6653, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4315, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.2563, decode.d6.loss_mask: 0.4290, decode.d6.loss_dice: 0.6208, decode.d7.loss_cls: 0.2832, decode.d7.loss_mask: 0.4270, decode.d7.loss_dice: 0.6129, decode.d8.loss_cls: 0.2751, decode.d8.loss_mask: 0.4325, decode.d8.loss_dice: 0.6420, loss: 15.1286 2022-09-15 11:33:10,988 - mmseg - INFO - per class results: 2022-09-15 11:33:10,998 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.89 | 89.61 | | building | 84.78 | 91.09 | | sky | 95.01 | 97.9 | | floor | 85.13 | 90.0 | | tree | 78.69 | 87.94 | | ceiling | 87.16 | 92.71 | | road | 87.49 | 90.68 | | bed | 93.55 | 97.1 | | windowpane | 65.61 | 77.92 | | grass | 72.35 | 80.15 | | cabinet | 67.63 | 78.91 | | sidewalk | 69.33 | 84.77 | | person | 88.09 | 94.24 | | earth | 45.57 | 60.87 | | door | 61.83 | 79.46 | | table | 71.16 | 84.23 | | mountain | 64.99 | 79.93 | | plant | 59.6 | 74.61 | | curtain | 81.42 | 91.01 | | chair | 68.34 | 79.41 | | car | 89.31 | 94.45 | | water | 60.1 | 78.96 | | painting | 80.66 | 91.22 | | sofa | 84.67 | 91.75 | | shelf | 50.86 | 66.49 | | house | 49.46 | 77.77 | | sea | 68.46 | 83.61 | | mirror | 78.12 | 91.96 | | rug | 70.19 | 85.69 | | field | 38.01 | 64.29 | | armchair | 60.55 | 74.95 | | seat | 71.31 | 90.73 | | fence | 55.54 | 72.7 | | desk | 56.66 | 72.6 | | rock | 52.89 | 78.45 | | wardrobe | 58.62 | 76.18 | | lamp | 78.9 | 88.77 | | bathtub | 92.05 | 94.12 | | railing | 45.96 | 65.75 | | cushion | 70.21 | 84.5 | | base | 43.41 | 74.1 | | box | 43.16 | 57.92 | | column | 59.78 | 69.42 | | signboard | 43.27 | 64.96 | | chest of drawers | 46.77 | 71.43 | | counter | 49.52 | 68.06 | | sand | 59.88 | 86.89 | | sink | 82.19 | 86.03 | | skyscraper | 48.02 | 61.78 | | fireplace | 74.21 | 95.64 | | refrigerator | 84.67 | 91.09 | | grandstand | 46.15 | 85.51 | | path | 29.58 | 43.83 | | stairs | 41.83 | 50.52 | | runway | 75.42 | 96.18 | | case | 71.25 | 78.68 | | pool table | 95.68 | 98.23 | | pillow | 67.91 | 85.37 | | screen door | 75.88 | 85.31 | | stairway | 62.11 | 73.23 | | river | 15.57 | 17.72 | | bridge | 65.7 | 89.76 | | bookcase | 36.22 | 51.77 | | blind | 43.62 | 55.63 | | coffee table | 74.9 | 86.21 | | toilet | 91.42 | 94.49 | | flower | 53.5 | 66.58 | | book | 60.24 | 77.65 | | hill | 11.05 | 27.71 | | bench | 72.5 | 81.32 | | countertop | 70.5 | 83.86 | | stove | 87.9 | 92.93 | | palm | 58.95 | 80.13 | | kitchen island | 52.18 | 80.01 | | computer | 83.22 | 89.91 | | swivel chair | 59.91 | 89.4 | | boat | 57.01 | 91.03 | | bar | 63.57 | 68.0 | | arcade machine | 88.99 | 98.3 | | hovel | 67.39 | 76.86 | | bus | 94.25 | 96.76 | | towel | 79.55 | 89.31 | | light | 62.2 | 81.33 | | truck | 49.97 | 81.32 | | tower | 18.1 | 27.73 | | chandelier | 74.66 | 85.15 | | awning | 26.91 | 50.42 | | streetlight | 47.88 | 69.66 | | booth | 54.17 | 69.43 | | television receiver | 86.03 | 93.2 | | airplane | 86.13 | 96.2 | | dirt track | 3.77 | 8.3 | | apparel | 55.0 | 89.53 | | pole | 40.4 | 57.87 | | land | 6.16 | 8.23 | | bannister | 23.77 | 33.94 | | escalator | 64.21 | 87.15 | | ottoman | 61.34 | 87.21 | | bottle | 52.41 | 69.16 | | buffet | 46.33 | 53.7 | | poster | 41.13 | 61.79 | | stage | 13.22 | 37.05 | | van | 52.94 | 70.16 | | ship | 57.9 | 70.63 | | fountain | 36.13 | 42.28 | | conveyer belt | 78.56 | 96.92 | | canopy | 68.61 | 90.76 | | washer | 74.25 | 94.48 | | plaything | 50.69 | 88.54 | | swimming pool | 64.59 | 72.61 | | stool | 55.95 | 77.3 | | barrel | 83.38 | 93.74 | | basket | 48.93 | 70.42 | | waterfall | 50.55 | 55.86 | | tent | 92.78 | 97.71 | | bag | 31.79 | 46.56 | | minibike | 81.98 | 93.01 | | cradle | 91.6 | 97.8 | | oven | 67.31 | 81.71 | | ball | 42.25 | 45.29 | | food | 75.42 | 85.91 | | step | 22.18 | 36.74 | | tank | 64.37 | 66.84 | | trade name | 31.92 | 48.65 | | microwave | 88.4 | 93.8 | | pot | 58.88 | 72.28 | | animal | 84.42 | 88.6 | | bicycle | 66.52 | 84.72 | | lake | 4.85 | 10.49 | | dishwasher | 84.33 | 96.89 | | screen | 67.42 | 89.5 | | blanket | 37.45 | 47.19 | | sculpture | 72.86 | 90.77 | | hood | 78.5 | 93.27 | | sconce | 65.73 | 80.89 | | vase | 60.07 | 80.71 | | traffic light | 50.51 | 72.0 | | tray | 25.33 | 38.75 | | ashcan | 54.41 | 80.37 | | fan | 74.4 | 87.22 | | pier | 78.7 | 81.98 | | crt screen | 7.47 | 18.22 | | plate | 64.83 | 85.83 | | monitor | 16.75 | 24.17 | | bulletin board | 56.12 | 63.71 | | shower | 24.45 | 28.51 | | radiator | 74.1 | 90.46 | | glass | 28.91 | 33.59 | | clock | 59.54 | 71.54 | | flag | 70.4 | 87.16 | +---------------------+-------+-------+ 2022-09-15 11:33:10,999 - mmseg - INFO - Summary: 2022-09-15 11:33:10,999 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 86.72 | 60.7 | 74.68 | +-------+------+-------+ 2022-09-15 11:33:41,154 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. 2022-09-15 11:33:41,167 - mmseg - INFO - Best mIoU is 0.6070 at 24000 iter. 2022-09-15 11:33:41,184 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 11:33:41,185 - mmseg - INFO - Iter(val) [125] aAcc: 0.8672, mIoU: 0.6070, mAcc: 0.7468, IoU.wall: 0.8289, IoU.building: 0.8478, IoU.sky: 0.9501, IoU.floor: 0.8513, IoU.tree: 0.7869, IoU.ceiling: 0.8716, IoU.road: 0.8749, IoU.bed : 0.9355, IoU.windowpane: 0.6561, IoU.grass: 0.7235, IoU.cabinet: 0.6763, IoU.sidewalk: 0.6933, IoU.person: 0.8809, IoU.earth: 0.4557, IoU.door: 0.6183, IoU.table: 0.7116, IoU.mountain: 0.6499, IoU.plant: 0.5960, IoU.curtain: 0.8142, IoU.chair: 0.6834, IoU.car: 0.8931, IoU.water: 0.6010, IoU.painting: 0.8066, IoU.sofa: 0.8467, IoU.shelf: 0.5086, IoU.house: 0.4946, IoU.sea: 0.6846, IoU.mirror: 0.7812, IoU.rug: 0.7019, IoU.field: 0.3801, IoU.armchair: 0.6055, IoU.seat: 0.7131, IoU.fence: 0.5554, IoU.desk: 0.5666, IoU.rock: 0.5289, IoU.wardrobe: 0.5862, IoU.lamp: 0.7890, IoU.bathtub: 0.9205, IoU.railing: 0.4596, IoU.cushion: 0.7021, IoU.base: 0.4341, IoU.box: 0.4316, IoU.column: 0.5978, IoU.signboard: 0.4327, IoU.chest of drawers: 0.4677, IoU.counter: 0.4952, IoU.sand: 0.5988, IoU.sink: 0.8219, IoU.skyscraper: 0.4802, IoU.fireplace: 0.7421, IoU.refrigerator: 0.8467, IoU.grandstand: 0.4615, IoU.path: 0.2958, IoU.stairs: 0.4183, IoU.runway: 0.7542, IoU.case: 0.7125, IoU.pool table: 0.9568, IoU.pillow: 0.6791, IoU.screen door: 0.7588, IoU.stairway: 0.6211, IoU.river: 0.1557, IoU.bridge: 0.6570, IoU.bookcase: 0.3622, IoU.blind: 0.4362, IoU.coffee table: 0.7490, IoU.toilet: 0.9142, IoU.flower: 0.5350, IoU.book: 0.6024, IoU.hill: 0.1105, IoU.bench: 0.7250, IoU.countertop: 0.7050, IoU.stove: 0.8790, IoU.palm: 0.5895, IoU.kitchen island: 0.5218, IoU.computer: 0.8322, IoU.swivel chair: 0.5991, IoU.boat: 0.5701, IoU.bar: 0.6357, IoU.arcade machine: 0.8899, IoU.hovel: 0.6739, IoU.bus: 0.9425, IoU.towel: 0.7955, IoU.light: 0.6220, IoU.truck: 0.4997, IoU.tower: 0.1810, IoU.chandelier: 0.7466, IoU.awning: 0.2691, IoU.streetlight: 0.4788, IoU.booth: 0.5417, IoU.television receiver: 0.8603, IoU.airplane: 0.8613, IoU.dirt track: 0.0377, IoU.apparel: 0.5500, IoU.pole: 0.4040, IoU.land: 0.0616, IoU.bannister: 0.2377, IoU.escalator: 0.6421, IoU.ottoman: 0.6134, IoU.bottle: 0.5241, IoU.buffet: 0.4633, IoU.poster: 0.4113, IoU.stage: 0.1322, IoU.van: 0.5294, IoU.ship: 0.5790, IoU.fountain: 0.3613, IoU.conveyer belt: 0.7856, IoU.canopy: 0.6861, IoU.washer: 0.7425, IoU.plaything: 0.5069, IoU.swimming pool: 0.6459, IoU.stool: 0.5595, IoU.barrel: 0.8338, IoU.basket: 0.4893, IoU.waterfall: 0.5055, IoU.tent: 0.9278, IoU.bag: 0.3179, IoU.minibike: 0.8198, IoU.cradle: 0.9160, IoU.oven: 0.6731, IoU.ball: 0.4225, IoU.food: 0.7542, IoU.step: 0.2218, IoU.tank: 0.6437, IoU.trade name: 0.3192, IoU.microwave: 0.8840, IoU.pot: 0.5888, IoU.animal: 0.8442, IoU.bicycle: 0.6652, IoU.lake: 0.0485, IoU.dishwasher: 0.8433, IoU.screen: 0.6742, IoU.blanket: 0.3745, IoU.sculpture: 0.7286, IoU.hood: 0.7850, IoU.sconce: 0.6573, IoU.vase: 0.6007, IoU.traffic light: 0.5051, IoU.tray: 0.2533, IoU.ashcan: 0.5441, IoU.fan: 0.7440, IoU.pier: 0.7870, IoU.crt screen: 0.0747, IoU.plate: 0.6483, IoU.monitor: 0.1675, IoU.bulletin board: 0.5612, IoU.shower: 0.2445, IoU.radiator: 0.7410, IoU.glass: 0.2891, IoU.clock: 0.5954, IoU.flag: 0.7040, Acc.wall: 0.8961, Acc.building: 0.9109, Acc.sky: 0.9790, Acc.floor: 0.9000, Acc.tree: 0.8794, Acc.ceiling: 0.9271, Acc.road: 0.9068, Acc.bed : 0.9710, Acc.windowpane: 0.7792, Acc.grass: 0.8015, Acc.cabinet: 0.7891, Acc.sidewalk: 0.8477, Acc.person: 0.9424, Acc.earth: 0.6087, Acc.door: 0.7946, Acc.table: 0.8423, Acc.mountain: 0.7993, Acc.plant: 0.7461, Acc.curtain: 0.9101, Acc.chair: 0.7941, Acc.car: 0.9445, Acc.water: 0.7896, Acc.painting: 0.9122, Acc.sofa: 0.9175, Acc.shelf: 0.6649, Acc.house: 0.7777, Acc.sea: 0.8361, Acc.mirror: 0.9196, Acc.rug: 0.8569, Acc.field: 0.6429, Acc.armchair: 0.7495, Acc.seat: 0.9073, Acc.fence: 0.7270, Acc.desk: 0.7260, Acc.rock: 0.7845, Acc.wardrobe: 0.7618, Acc.lamp: 0.8877, Acc.bathtub: 0.9412, Acc.railing: 0.6575, Acc.cushion: 0.8450, Acc.base: 0.7410, Acc.box: 0.5792, Acc.column: 0.6942, Acc.signboard: 0.6496, Acc.chest of drawers: 0.7143, Acc.counter: 0.6806, Acc.sand: 0.8689, Acc.sink: 0.8603, Acc.skyscraper: 0.6178, Acc.fireplace: 0.9564, Acc.refrigerator: 0.9109, Acc.grandstand: 0.8551, Acc.path: 0.4383, Acc.stairs: 0.5052, Acc.runway: 0.9618, Acc.case: 0.7868, Acc.pool table: 0.9823, Acc.pillow: 0.8537, Acc.screen door: 0.8531, Acc.stairway: 0.7323, Acc.river: 0.1772, Acc.bridge: 0.8976, Acc.bookcase: 0.5177, Acc.blind: 0.5563, Acc.coffee table: 0.8621, Acc.toilet: 0.9449, Acc.flower: 0.6658, Acc.book: 0.7765, Acc.hill: 0.2771, Acc.bench: 0.8132, Acc.countertop: 0.8386, Acc.stove: 0.9293, Acc.palm: 0.8013, Acc.kitchen island: 0.8001, Acc.computer: 0.8991, Acc.swivel chair: 0.8940, Acc.boat: 0.9103, Acc.bar: 0.6800, Acc.arcade machine: 0.9830, Acc.hovel: 0.7686, Acc.bus: 0.9676, Acc.towel: 0.8931, Acc.light: 0.8133, Acc.truck: 0.8132, Acc.tower: 0.2773, Acc.chandelier: 0.8515, Acc.awning: 0.5042, Acc.streetlight: 0.6966, Acc.booth: 0.6943, Acc.television receiver: 0.9320, Acc.airplane: 0.9620, Acc.dirt track: 0.0830, Acc.apparel: 0.8953, Acc.pole: 0.5787, Acc.land: 0.0823, Acc.bannister: 0.3394, Acc.escalator: 0.8715, Acc.ottoman: 0.8721, Acc.bottle: 0.6916, Acc.buffet: 0.5370, Acc.poster: 0.6179, Acc.stage: 0.3705, Acc.van: 0.7016, Acc.ship: 0.7063, Acc.fountain: 0.4228, Acc.conveyer belt: 0.9692, Acc.canopy: 0.9076, Acc.washer: 0.9448, Acc.plaything: 0.8854, Acc.swimming pool: 0.7261, Acc.stool: 0.7730, Acc.barrel: 0.9374, Acc.basket: 0.7042, Acc.waterfall: 0.5586, Acc.tent: 0.9771, Acc.bag: 0.4656, Acc.minibike: 0.9301, Acc.cradle: 0.9780, Acc.oven: 0.8171, Acc.ball: 0.4529, Acc.food: 0.8591, Acc.step: 0.3674, Acc.tank: 0.6684, Acc.trade name: 0.4865, Acc.microwave: 0.9380, Acc.pot: 0.7228, Acc.animal: 0.8860, Acc.bicycle: 0.8472, Acc.lake: 0.1049, Acc.dishwasher: 0.9689, Acc.screen: 0.8950, Acc.blanket: 0.4719, Acc.sculpture: 0.9077, Acc.hood: 0.9327, Acc.sconce: 0.8089, Acc.vase: 0.8071, Acc.traffic light: 0.7200, Acc.tray: 0.3875, Acc.ashcan: 0.8037, Acc.fan: 0.8722, Acc.pier: 0.8198, Acc.crt screen: 0.1822, Acc.plate: 0.8583, Acc.monitor: 0.2417, Acc.bulletin board: 0.6371, Acc.shower: 0.2851, Acc.radiator: 0.9046, Acc.glass: 0.3359, Acc.clock: 0.7154, Acc.flag: 0.8716 2022-09-15 11:35:16,125 - mmseg - INFO - Iter [24050/80000] lr: 1.004e-06, eta: 34 days, 7:21:43, time: 5.229, data_time: 3.347, memory: 47124, decode.loss_cls: 0.4049, decode.loss_mask: 0.5768, decode.loss_dice: 0.8344, decode.d0.loss_cls: 2.0341, decode.d0.loss_mask: 0.6099, decode.d0.loss_dice: 0.9590, decode.d1.loss_cls: 0.4895, decode.d1.loss_mask: 0.6042, decode.d1.loss_dice: 0.8978, decode.d2.loss_cls: 0.4406, decode.d2.loss_mask: 0.5878, decode.d2.loss_dice: 0.8570, decode.d3.loss_cls: 0.4308, decode.d3.loss_mask: 0.5845, decode.d3.loss_dice: 0.8492, decode.d4.loss_cls: 0.4172, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8473, decode.d5.loss_cls: 0.4150, decode.d5.loss_mask: 0.5803, decode.d5.loss_dice: 0.8388, decode.d6.loss_cls: 0.4068, decode.d6.loss_mask: 0.5757, decode.d6.loss_dice: 0.8270, decode.d7.loss_cls: 0.4043, decode.d7.loss_mask: 0.5761, decode.d7.loss_dice: 0.8303, decode.d8.loss_cls: 0.4027, decode.d8.loss_mask: 0.5771, decode.d8.loss_dice: 0.8337, loss: 20.2775 2022-09-15 11:36:50,251 - mmseg - INFO - Iter [24100/80000] lr: 1.003e-06, eta: 17 days, 21:51:36, time: 1.883, data_time: 0.013, memory: 47124, decode.loss_cls: 0.3869, decode.loss_mask: 0.5908, decode.loss_dice: 0.8334, decode.d0.loss_cls: 1.9507, decode.d0.loss_mask: 0.6207, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.4685, decode.d1.loss_mask: 0.6196, decode.d1.loss_dice: 0.8995, decode.d2.loss_cls: 0.4241, decode.d2.loss_mask: 0.6050, decode.d2.loss_dice: 0.8667, decode.d3.loss_cls: 0.4021, decode.d3.loss_mask: 0.5953, decode.d3.loss_dice: 0.8435, decode.d4.loss_cls: 0.3939, decode.d4.loss_mask: 0.5929, decode.d4.loss_dice: 0.8409, decode.d5.loss_cls: 0.3892, decode.d5.loss_mask: 0.5930, decode.d5.loss_dice: 0.8401, decode.d6.loss_cls: 0.3903, decode.d6.loss_mask: 0.5948, decode.d6.loss_dice: 0.8313, decode.d7.loss_cls: 0.3911, decode.d7.loss_mask: 0.5921, decode.d7.loss_dice: 0.8271, decode.d8.loss_cls: 0.3871, decode.d8.loss_mask: 0.5926, decode.d8.loss_dice: 0.8298, loss: 20.1394 2022-09-15 11:38:23,786 - mmseg - INFO - Iter [24150/80000] lr: 1.002e-06, eta: 12 days, 8:52:29, time: 1.871, data_time: 0.016, memory: 47124, decode.loss_cls: 0.4235, decode.loss_mask: 0.5523, decode.loss_dice: 0.8300, decode.d0.loss_cls: 2.0139, decode.d0.loss_mask: 0.5871, decode.d0.loss_dice: 0.9488, decode.d1.loss_cls: 0.5030, decode.d1.loss_mask: 0.5784, decode.d1.loss_dice: 0.9008, decode.d2.loss_cls: 0.4469, decode.d2.loss_mask: 0.5741, decode.d2.loss_dice: 0.8693, decode.d3.loss_cls: 0.4405, decode.d3.loss_mask: 0.5612, decode.d3.loss_dice: 0.8471, decode.d4.loss_cls: 0.4312, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8466, decode.d5.loss_cls: 0.4303, decode.d5.loss_mask: 0.5536, decode.d5.loss_dice: 0.8398, decode.d6.loss_cls: 0.4214, decode.d6.loss_mask: 0.5542, decode.d6.loss_dice: 0.8328, decode.d7.loss_cls: 0.4281, decode.d7.loss_mask: 0.5527, decode.d7.loss_dice: 0.8269, decode.d8.loss_cls: 0.4247, decode.d8.loss_mask: 0.5540, decode.d8.loss_dice: 0.8287, loss: 20.1620 2022-09-15 11:39:57,064 - mmseg - INFO - Iter [24200/80000] lr: 1.001e-06, eta: 9 days, 14:01:04, time: 1.865, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3818, decode.loss_mask: 0.5731, decode.loss_dice: 0.7906, decode.d0.loss_cls: 1.9577, decode.d0.loss_mask: 0.6015, decode.d0.loss_dice: 0.9097, decode.d1.loss_cls: 0.4585, decode.d1.loss_mask: 0.6009, decode.d1.loss_dice: 0.8533, decode.d2.loss_cls: 0.4202, decode.d2.loss_mask: 0.5882, decode.d2.loss_dice: 0.8251, decode.d3.loss_cls: 0.4047, decode.d3.loss_mask: 0.5816, decode.d3.loss_dice: 0.8097, decode.d4.loss_cls: 0.3947, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8065, decode.d5.loss_cls: 0.3888, decode.d5.loss_mask: 0.5794, decode.d5.loss_dice: 0.8044, decode.d6.loss_cls: 0.3847, decode.d6.loss_mask: 0.5778, decode.d6.loss_dice: 0.7914, decode.d7.loss_cls: 0.3797, decode.d7.loss_mask: 0.5778, decode.d7.loss_dice: 0.7940, decode.d8.loss_cls: 0.3802, decode.d8.loss_mask: 0.5780, decode.d8.loss_dice: 0.7987, loss: 19.5748 2022-09-15 11:41:33,617 - mmseg - INFO - Iter [24250/80000] lr: 1.001e-06, eta: 7 days, 21:59:24, time: 1.931, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3899, decode.loss_mask: 0.5553, decode.loss_dice: 0.8043, decode.d0.loss_cls: 1.9707, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.9062, decode.d1.loss_cls: 0.4676, decode.d1.loss_mask: 0.5786, decode.d1.loss_dice: 0.8616, decode.d2.loss_cls: 0.4142, decode.d2.loss_mask: 0.5685, decode.d2.loss_dice: 0.8354, decode.d3.loss_cls: 0.4098, decode.d3.loss_mask: 0.5613, decode.d3.loss_dice: 0.8144, decode.d4.loss_cls: 0.3987, decode.d4.loss_mask: 0.5567, decode.d4.loss_dice: 0.8107, decode.d5.loss_cls: 0.3995, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3931, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.7963, decode.d7.loss_cls: 0.3918, decode.d7.loss_mask: 0.5559, decode.d7.loss_dice: 0.8001, decode.d8.loss_cls: 0.3891, decode.d8.loss_mask: 0.5557, decode.d8.loss_dice: 0.7930, loss: 19.4724 2022-09-15 11:43:07,953 - mmseg - INFO - Iter [24300/80000] lr: 9.997e-07, eta: 6 days, 19:08:13, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3913, decode.loss_mask: 0.5561, decode.loss_dice: 0.7946, decode.d0.loss_cls: 2.0174, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.9162, decode.d1.loss_cls: 0.4765, decode.d1.loss_mask: 0.5842, decode.d1.loss_dice: 0.8617, decode.d2.loss_cls: 0.4241, decode.d2.loss_mask: 0.5683, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.4064, decode.d3.loss_mask: 0.5635, decode.d3.loss_dice: 0.8054, decode.d4.loss_cls: 0.3949, decode.d4.loss_mask: 0.5589, decode.d4.loss_dice: 0.8096, decode.d5.loss_cls: 0.3857, decode.d5.loss_mask: 0.5593, decode.d5.loss_dice: 0.8105, decode.d6.loss_cls: 0.3891, decode.d6.loss_mask: 0.5532, decode.d6.loss_dice: 0.7923, decode.d7.loss_cls: 0.3799, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.7988, decode.d8.loss_cls: 0.3842, decode.d8.loss_mask: 0.5556, decode.d8.loss_dice: 0.7955, loss: 19.5110 2022-09-15 11:44:42,114 - mmseg - INFO - Iter [24350/80000] lr: 9.988e-07, eta: 5 days, 23:55:08, time: 1.883, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3820, decode.loss_mask: 0.5415, decode.loss_dice: 0.7820, decode.d0.loss_cls: 1.9813, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.9013, decode.d1.loss_cls: 0.4635, decode.d1.loss_mask: 0.5689, decode.d1.loss_dice: 0.8474, decode.d2.loss_cls: 0.4068, decode.d2.loss_mask: 0.5537, decode.d2.loss_dice: 0.8172, decode.d3.loss_cls: 0.3999, decode.d3.loss_mask: 0.5513, decode.d3.loss_dice: 0.7943, decode.d4.loss_cls: 0.3844, decode.d4.loss_mask: 0.5485, decode.d4.loss_dice: 0.7933, decode.d5.loss_cls: 0.3790, decode.d5.loss_mask: 0.5460, decode.d5.loss_dice: 0.7942, decode.d6.loss_cls: 0.3800, decode.d6.loss_mask: 0.5441, decode.d6.loss_dice: 0.7826, decode.d7.loss_cls: 0.3816, decode.d7.loss_mask: 0.5402, decode.d7.loss_dice: 0.7838, decode.d8.loss_cls: 0.3790, decode.d8.loss_mask: 0.5425, decode.d8.loss_dice: 0.7823, loss: 19.1294 2022-09-15 11:46:15,889 - mmseg - INFO - Iter [24400/80000] lr: 9.979e-07, eta: 5 days, 9:28:23, time: 1.876, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3834, decode.loss_mask: 0.5679, decode.loss_dice: 0.8349, decode.d0.loss_cls: 1.9925, decode.d0.loss_mask: 0.5919, decode.d0.loss_dice: 0.9483, decode.d1.loss_cls: 0.4737, decode.d1.loss_mask: 0.5870, decode.d1.loss_dice: 0.9019, decode.d2.loss_cls: 0.4174, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8671, decode.d3.loss_cls: 0.4036, decode.d3.loss_mask: 0.5722, decode.d3.loss_dice: 0.8509, decode.d4.loss_cls: 0.3962, decode.d4.loss_mask: 0.5726, decode.d4.loss_dice: 0.8483, decode.d5.loss_cls: 0.3890, decode.d5.loss_mask: 0.5726, decode.d5.loss_dice: 0.8400, decode.d6.loss_cls: 0.3896, decode.d6.loss_mask: 0.5663, decode.d6.loss_dice: 0.8340, decode.d7.loss_cls: 0.3815, decode.d7.loss_mask: 0.5687, decode.d7.loss_dice: 0.8357, decode.d8.loss_cls: 0.3842, decode.d8.loss_mask: 0.5679, decode.d8.loss_dice: 0.8343, loss: 19.9505 2022-09-15 11:47:50,064 - mmseg - INFO - Iter [24450/80000] lr: 9.970e-07, eta: 4 days, 22:14:15, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3789, decode.loss_mask: 0.5668, decode.loss_dice: 0.8261, decode.d0.loss_cls: 1.9531, decode.d0.loss_mask: 0.5937, decode.d0.loss_dice: 0.9477, decode.d1.loss_cls: 0.4616, decode.d1.loss_mask: 0.5880, decode.d1.loss_dice: 0.8925, decode.d2.loss_cls: 0.4210, decode.d2.loss_mask: 0.5811, decode.d2.loss_dice: 0.8580, decode.d3.loss_cls: 0.3991, decode.d3.loss_mask: 0.5742, decode.d3.loss_dice: 0.8403, decode.d4.loss_cls: 0.3943, decode.d4.loss_mask: 0.5688, decode.d4.loss_dice: 0.8342, decode.d5.loss_cls: 0.3878, decode.d5.loss_mask: 0.5706, decode.d5.loss_dice: 0.8390, decode.d6.loss_cls: 0.3815, decode.d6.loss_mask: 0.5686, decode.d6.loss_dice: 0.8302, decode.d7.loss_cls: 0.3811, decode.d7.loss_mask: 0.5646, decode.d7.loss_dice: 0.8250, decode.d8.loss_cls: 0.3813, decode.d8.loss_mask: 0.5657, decode.d8.loss_dice: 0.8267, loss: 19.8013 2022-09-15 11:49:24,004 - mmseg - INFO - Iter [24500/80000] lr: 9.961e-07, eta: 4 days, 13:13:56, time: 1.879, data_time: 0.017, memory: 47124, decode.loss_cls: 0.4153, decode.loss_mask: 0.5821, decode.loss_dice: 0.8449, decode.d0.loss_cls: 1.9659, decode.d0.loss_mask: 0.6135, decode.d0.loss_dice: 0.9739, decode.d1.loss_cls: 0.4863, decode.d1.loss_mask: 0.6163, decode.d1.loss_dice: 0.9173, decode.d2.loss_cls: 0.4327, decode.d2.loss_mask: 0.6015, decode.d2.loss_dice: 0.8877, decode.d3.loss_cls: 0.4306, decode.d3.loss_mask: 0.5936, decode.d3.loss_dice: 0.8598, decode.d4.loss_cls: 0.4204, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8587, decode.d5.loss_cls: 0.4133, decode.d5.loss_mask: 0.5886, decode.d5.loss_dice: 0.8485, decode.d6.loss_cls: 0.4110, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.4095, decode.d7.loss_mask: 0.5817, decode.d7.loss_dice: 0.8455, decode.d8.loss_cls: 0.4080, decode.d8.loss_mask: 0.5832, decode.d8.loss_dice: 0.8458, loss: 20.4528 2022-09-15 11:50:58,578 - mmseg - INFO - Iter [24550/80000] lr: 9.952e-07, eta: 4 days, 5:52:28, time: 1.891, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3923, decode.loss_mask: 0.5672, decode.loss_dice: 0.8138, decode.d0.loss_cls: 1.9895, decode.d0.loss_mask: 0.5881, decode.d0.loss_dice: 0.9285, decode.d1.loss_cls: 0.4816, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.8751, decode.d2.loss_cls: 0.4389, decode.d2.loss_mask: 0.5799, decode.d2.loss_dice: 0.8455, decode.d3.loss_cls: 0.4152, decode.d3.loss_mask: 0.5726, decode.d3.loss_dice: 0.8224, decode.d4.loss_cls: 0.4109, decode.d4.loss_mask: 0.5703, decode.d4.loss_dice: 0.8216, decode.d5.loss_cls: 0.4043, decode.d5.loss_mask: 0.5675, decode.d5.loss_dice: 0.8159, decode.d6.loss_cls: 0.4001, decode.d6.loss_mask: 0.5677, decode.d6.loss_dice: 0.8095, decode.d7.loss_cls: 0.3949, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.8139, decode.d8.loss_cls: 0.3935, decode.d8.loss_mask: 0.5680, decode.d8.loss_dice: 0.8152, loss: 19.8291 2022-09-15 11:52:32,792 - mmseg - INFO - Iter [24600/80000] lr: 9.943e-07, eta: 3 days, 23:43:38, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.4027, decode.loss_mask: 0.5720, decode.loss_dice: 0.8323, decode.d0.loss_cls: 2.0118, decode.d0.loss_mask: 0.6039, decode.d0.loss_dice: 0.9565, decode.d1.loss_cls: 0.5022, decode.d1.loss_mask: 0.5974, decode.d1.loss_dice: 0.9021, decode.d2.loss_cls: 0.4388, decode.d2.loss_mask: 0.5848, decode.d2.loss_dice: 0.8636, decode.d3.loss_cls: 0.4232, decode.d3.loss_mask: 0.5780, decode.d3.loss_dice: 0.8408, decode.d4.loss_cls: 0.4198, decode.d4.loss_mask: 0.5728, decode.d4.loss_dice: 0.8438, decode.d5.loss_cls: 0.4106, decode.d5.loss_mask: 0.5770, decode.d5.loss_dice: 0.8441, decode.d6.loss_cls: 0.4107, decode.d6.loss_mask: 0.5714, decode.d6.loss_dice: 0.8327, decode.d7.loss_cls: 0.4050, decode.d7.loss_mask: 0.5718, decode.d7.loss_dice: 0.8350, decode.d8.loss_cls: 0.3971, decode.d8.loss_mask: 0.5731, decode.d8.loss_dice: 0.8396, loss: 20.2144 2022-09-15 11:54:07,150 - mmseg - INFO - Iter [24650/80000] lr: 9.934e-07, eta: 3 days, 18:31:25, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.4167, decode.loss_mask: 0.5782, decode.loss_dice: 0.8261, decode.d0.loss_cls: 1.9957, decode.d0.loss_mask: 0.6148, decode.d0.loss_dice: 0.9578, decode.d1.loss_cls: 0.4948, decode.d1.loss_mask: 0.6083, decode.d1.loss_dice: 0.8887, decode.d2.loss_cls: 0.4448, decode.d2.loss_mask: 0.5930, decode.d2.loss_dice: 0.8597, decode.d3.loss_cls: 0.4387, decode.d3.loss_mask: 0.5848, decode.d3.loss_dice: 0.8374, decode.d4.loss_cls: 0.4236, decode.d4.loss_mask: 0.5843, decode.d4.loss_dice: 0.8399, decode.d5.loss_cls: 0.4145, decode.d5.loss_mask: 0.5821, decode.d5.loss_dice: 0.8346, decode.d6.loss_cls: 0.4190, decode.d6.loss_mask: 0.5769, decode.d6.loss_dice: 0.8327, decode.d7.loss_cls: 0.4133, decode.d7.loss_mask: 0.5791, decode.d7.loss_dice: 0.8298, decode.d8.loss_cls: 0.4150, decode.d8.loss_mask: 0.5760, decode.d8.loss_dice: 0.8265, loss: 20.2867 2022-09-15 11:55:41,516 - mmseg - INFO - Iter [24700/80000] lr: 9.925e-07, eta: 3 days, 14:03:31, time: 1.887, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3867, decode.loss_mask: 0.5575, decode.loss_dice: 0.8173, decode.d0.loss_cls: 1.9643, decode.d0.loss_mask: 0.5789, decode.d0.loss_dice: 0.9426, decode.d1.loss_cls: 0.4659, decode.d1.loss_mask: 0.5848, decode.d1.loss_dice: 0.8824, decode.d2.loss_cls: 0.4210, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8613, decode.d3.loss_cls: 0.4103, decode.d3.loss_mask: 0.5693, decode.d3.loss_dice: 0.8404, decode.d4.loss_cls: 0.3958, decode.d4.loss_mask: 0.5664, decode.d4.loss_dice: 0.8367, decode.d5.loss_cls: 0.3933, decode.d5.loss_mask: 0.5626, decode.d5.loss_dice: 0.8321, decode.d6.loss_cls: 0.3951, decode.d6.loss_mask: 0.5602, decode.d6.loss_dice: 0.8264, decode.d7.loss_cls: 0.3939, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.8240, decode.d8.loss_cls: 0.3887, decode.d8.loss_mask: 0.5568, decode.d8.loss_dice: 0.8250, loss: 19.7693 2022-09-15 11:57:17,199 - mmseg - INFO - Iter [24750/80000] lr: 9.916e-07, eta: 3 days, 10:12:42, time: 1.914, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3710, decode.loss_mask: 0.5742, decode.loss_dice: 0.8140, decode.d0.loss_cls: 1.9851, decode.d0.loss_mask: 0.5934, decode.d0.loss_dice: 0.9301, decode.d1.loss_cls: 0.4573, decode.d1.loss_mask: 0.6016, decode.d1.loss_dice: 0.8857, decode.d2.loss_cls: 0.4015, decode.d2.loss_mask: 0.5902, decode.d2.loss_dice: 0.8470, decode.d3.loss_cls: 0.3827, decode.d3.loss_mask: 0.5834, decode.d3.loss_dice: 0.8269, decode.d4.loss_cls: 0.3766, decode.d4.loss_mask: 0.5832, decode.d4.loss_dice: 0.8243, decode.d5.loss_cls: 0.3711, decode.d5.loss_mask: 0.5797, decode.d5.loss_dice: 0.8194, decode.d6.loss_cls: 0.3675, decode.d6.loss_mask: 0.5741, decode.d6.loss_dice: 0.8083, decode.d7.loss_cls: 0.3725, decode.d7.loss_mask: 0.5763, decode.d7.loss_dice: 0.8147, decode.d8.loss_cls: 0.3683, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8180, loss: 19.6745 2022-09-15 11:58:51,443 - mmseg - INFO - Iter [24800/80000] lr: 9.907e-07, eta: 3 days, 6:48:51, time: 1.885, data_time: 0.015, memory: 47124, decode.loss_cls: 0.4190, decode.loss_mask: 0.5562, decode.loss_dice: 0.8230, decode.d0.loss_cls: 2.0279, decode.d0.loss_mask: 0.5806, decode.d0.loss_dice: 0.9508, decode.d1.loss_cls: 0.4996, decode.d1.loss_mask: 0.5847, decode.d1.loss_dice: 0.8914, decode.d2.loss_cls: 0.4498, decode.d2.loss_mask: 0.5747, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.4405, decode.d3.loss_mask: 0.5645, decode.d3.loss_dice: 0.8386, decode.d4.loss_cls: 0.4250, decode.d4.loss_mask: 0.5634, decode.d4.loss_dice: 0.8384, decode.d5.loss_cls: 0.4198, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8386, decode.d6.loss_cls: 0.4196, decode.d6.loss_mask: 0.5546, decode.d6.loss_dice: 0.8285, decode.d7.loss_cls: 0.4233, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.4178, decode.d8.loss_mask: 0.5576, decode.d8.loss_dice: 0.8271, loss: 20.1139 2022-09-15 12:00:29,903 - mmseg - INFO - Iter [24850/80000] lr: 9.898e-07, eta: 3 days, 3:53:20, time: 1.969, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3877, decode.loss_mask: 0.5634, decode.loss_dice: 0.8101, decode.d0.loss_cls: 1.9880, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.9263, decode.d1.loss_cls: 0.4780, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.8789, decode.d2.loss_cls: 0.4272, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8412, decode.d3.loss_cls: 0.4031, decode.d3.loss_mask: 0.5679, decode.d3.loss_dice: 0.8203, decode.d4.loss_cls: 0.3977, decode.d4.loss_mask: 0.5664, decode.d4.loss_dice: 0.8200, decode.d5.loss_cls: 0.3902, decode.d5.loss_mask: 0.5637, decode.d5.loss_dice: 0.8140, decode.d6.loss_cls: 0.3880, decode.d6.loss_mask: 0.5647, decode.d6.loss_dice: 0.8068, decode.d7.loss_cls: 0.3878, decode.d7.loss_mask: 0.5615, decode.d7.loss_dice: 0.8053, decode.d8.loss_cls: 0.3852, decode.d8.loss_mask: 0.5638, decode.d8.loss_dice: 0.8079, loss: 19.6808 2022-09-15 12:02:03,490 - mmseg - INFO - Iter [24900/80000] lr: 9.889e-07, eta: 3 days, 1:12:05, time: 1.871, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3824, decode.loss_mask: 0.5580, decode.loss_dice: 0.8198, decode.d0.loss_cls: 1.9804, decode.d0.loss_mask: 0.5849, decode.d0.loss_dice: 0.9366, decode.d1.loss_cls: 0.4730, decode.d1.loss_mask: 0.5814, decode.d1.loss_dice: 0.8800, decode.d2.loss_cls: 0.4217, decode.d2.loss_mask: 0.5701, decode.d2.loss_dice: 0.8517, decode.d3.loss_cls: 0.4062, decode.d3.loss_mask: 0.5598, decode.d3.loss_dice: 0.8305, decode.d4.loss_cls: 0.3939, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8308, decode.d5.loss_cls: 0.3907, decode.d5.loss_mask: 0.5612, decode.d5.loss_dice: 0.8242, decode.d6.loss_cls: 0.3811, decode.d6.loss_mask: 0.5579, decode.d6.loss_dice: 0.8202, decode.d7.loss_cls: 0.3795, decode.d7.loss_mask: 0.5598, decode.d7.loss_dice: 0.8229, decode.d8.loss_cls: 0.3812, decode.d8.loss_mask: 0.5616, decode.d8.loss_dice: 0.8199, loss: 19.6821 2022-09-15 12:03:36,382 - mmseg - INFO - Iter [24950/80000] lr: 9.880e-07, eta: 2 days, 22:47:03, time: 1.859, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3932, decode.loss_mask: 0.5580, decode.loss_dice: 0.8103, decode.d0.loss_cls: 2.0206, decode.d0.loss_mask: 0.5901, decode.d0.loss_dice: 0.9441, decode.d1.loss_cls: 0.4848, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.8736, decode.d2.loss_cls: 0.4272, decode.d2.loss_mask: 0.5709, decode.d2.loss_dice: 0.8437, decode.d3.loss_cls: 0.4125, decode.d3.loss_mask: 0.5707, decode.d3.loss_dice: 0.8259, decode.d4.loss_cls: 0.3989, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8266, decode.d5.loss_cls: 0.3961, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8204, decode.d6.loss_cls: 0.3884, decode.d6.loss_mask: 0.5568, decode.d6.loss_dice: 0.8126, decode.d7.loss_cls: 0.3983, decode.d7.loss_mask: 0.5565, decode.d7.loss_dice: 0.8106, decode.d8.loss_cls: 0.3947, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8085, loss: 19.7633 2022-09-15 12:05:10,479 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-09-15 12:05:42,075 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 12:05:42,084 - mmseg - INFO - Iter [25000/80000] lr: 9.871e-07, eta: 2 days, 21:06:15, time: 2.512, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3948, decode.loss_mask: 0.5743, decode.loss_dice: 0.8363, decode.d0.loss_cls: 1.9533, decode.d0.loss_mask: 0.6026, decode.d0.loss_dice: 0.9448, decode.d1.loss_cls: 0.4671, decode.d1.loss_mask: 0.6039, decode.d1.loss_dice: 0.9072, decode.d2.loss_cls: 0.4243, decode.d2.loss_mask: 0.5901, decode.d2.loss_dice: 0.8706, decode.d3.loss_cls: 0.4049, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8526, decode.d4.loss_cls: 0.4007, decode.d4.loss_mask: 0.5765, decode.d4.loss_dice: 0.8469, decode.d5.loss_cls: 0.3995, decode.d5.loss_mask: 0.5719, decode.d5.loss_dice: 0.8387, decode.d6.loss_cls: 0.4035, decode.d6.loss_mask: 0.5741, decode.d6.loss_dice: 0.8342, decode.d7.loss_cls: 0.3991, decode.d7.loss_mask: 0.5755, decode.d7.loss_dice: 0.8324, decode.d8.loss_cls: 0.3984, decode.d8.loss_mask: 0.5728, decode.d8.loss_dice: 0.8368, loss: 20.0666 2022-09-15 12:07:16,393 - mmseg - INFO - Iter [25050/80000] lr: 9.862e-07, eta: 2 days, 19:07:41, time: 1.889, data_time: 0.020, memory: 47124, decode.loss_cls: 0.4017, decode.loss_mask: 0.5702, decode.loss_dice: 0.8205, decode.d0.loss_cls: 1.9948, decode.d0.loss_mask: 0.5993, decode.d0.loss_dice: 0.9491, decode.d1.loss_cls: 0.4887, decode.d1.loss_mask: 0.6014, decode.d1.loss_dice: 0.8836, decode.d2.loss_cls: 0.4303, decode.d2.loss_mask: 0.5867, decode.d2.loss_dice: 0.8594, decode.d3.loss_cls: 0.4237, decode.d3.loss_mask: 0.5752, decode.d3.loss_dice: 0.8351, decode.d4.loss_cls: 0.4170, decode.d4.loss_mask: 0.5765, decode.d4.loss_dice: 0.8390, decode.d5.loss_cls: 0.4051, decode.d5.loss_mask: 0.5755, decode.d5.loss_dice: 0.8306, decode.d6.loss_cls: 0.4041, decode.d6.loss_mask: 0.5729, decode.d6.loss_dice: 0.8176, decode.d7.loss_cls: 0.4095, decode.d7.loss_mask: 0.5688, decode.d7.loss_dice: 0.8175, decode.d8.loss_cls: 0.4011, decode.d8.loss_mask: 0.5704, decode.d8.loss_dice: 0.8202, loss: 20.0456 2022-09-15 12:08:49,907 - mmseg - INFO - Iter [25100/80000] lr: 9.853e-07, eta: 2 days, 17:19:00, time: 1.870, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3847, decode.loss_mask: 0.5966, decode.loss_dice: 0.8233, decode.d0.loss_cls: 1.9481, decode.d0.loss_mask: 0.6256, decode.d0.loss_dice: 0.9593, decode.d1.loss_cls: 0.4779, decode.d1.loss_mask: 0.6190, decode.d1.loss_dice: 0.8873, decode.d2.loss_cls: 0.4250, decode.d2.loss_mask: 0.6101, decode.d2.loss_dice: 0.8596, decode.d3.loss_cls: 0.4053, decode.d3.loss_mask: 0.5978, decode.d3.loss_dice: 0.8411, decode.d4.loss_cls: 0.4002, decode.d4.loss_mask: 0.5906, decode.d4.loss_dice: 0.8366, decode.d5.loss_cls: 0.3912, decode.d5.loss_mask: 0.5956, decode.d5.loss_dice: 0.8327, decode.d6.loss_cls: 0.3905, decode.d6.loss_mask: 0.5957, decode.d6.loss_dice: 0.8244, decode.d7.loss_cls: 0.3908, decode.d7.loss_mask: 0.5930, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.3902, decode.d8.loss_mask: 0.5927, decode.d8.loss_dice: 0.8197, loss: 20.1305 2022-09-15 12:10:23,594 - mmseg - INFO - Iter [25150/80000] lr: 9.844e-07, eta: 2 days, 15:39:45, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3713, decode.loss_mask: 0.5767, decode.loss_dice: 0.8306, decode.d0.loss_cls: 1.9810, decode.d0.loss_mask: 0.6027, decode.d0.loss_dice: 0.9479, decode.d1.loss_cls: 0.4561, decode.d1.loss_mask: 0.6036, decode.d1.loss_dice: 0.8871, decode.d2.loss_cls: 0.4047, decode.d2.loss_mask: 0.5943, decode.d2.loss_dice: 0.8565, decode.d3.loss_cls: 0.3858, decode.d3.loss_mask: 0.5878, decode.d3.loss_dice: 0.8381, decode.d4.loss_cls: 0.3800, decode.d4.loss_mask: 0.5840, decode.d4.loss_dice: 0.8371, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5786, decode.d5.loss_dice: 0.8306, decode.d6.loss_cls: 0.3728, decode.d6.loss_mask: 0.5765, decode.d6.loss_dice: 0.8257, decode.d7.loss_cls: 0.3729, decode.d7.loss_mask: 0.5782, decode.d7.loss_dice: 0.8319, decode.d8.loss_cls: 0.3711, decode.d8.loss_mask: 0.5784, decode.d8.loss_dice: 0.8276, loss: 19.8471 2022-09-15 12:11:57,312 - mmseg - INFO - Iter [25200/80000] lr: 9.835e-07, eta: 2 days, 14:08:39, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.4145, decode.loss_mask: 0.5566, decode.loss_dice: 0.7983, decode.d0.loss_cls: 1.9676, decode.d0.loss_mask: 0.5860, decode.d0.loss_dice: 0.9419, decode.d1.loss_cls: 0.4905, decode.d1.loss_mask: 0.5873, decode.d1.loss_dice: 0.8778, decode.d2.loss_cls: 0.4387, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8401, decode.d3.loss_cls: 0.4224, decode.d3.loss_mask: 0.5685, decode.d3.loss_dice: 0.8243, decode.d4.loss_cls: 0.4185, decode.d4.loss_mask: 0.5632, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.4175, decode.d5.loss_mask: 0.5630, decode.d5.loss_dice: 0.8192, decode.d6.loss_cls: 0.4156, decode.d6.loss_mask: 0.5579, decode.d6.loss_dice: 0.8052, decode.d7.loss_cls: 0.4126, decode.d7.loss_mask: 0.5583, decode.d7.loss_dice: 0.8075, decode.d8.loss_cls: 0.4132, decode.d8.loss_mask: 0.5583, decode.d8.loss_dice: 0.8052, loss: 19.8236 2022-09-15 12:13:31,686 - mmseg - INFO - Iter [25250/80000] lr: 9.826e-07, eta: 2 days, 12:45:12, time: 1.888, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3898, decode.loss_mask: 0.5774, decode.loss_dice: 0.8225, decode.d0.loss_cls: 1.9722, decode.d0.loss_mask: 0.5960, decode.d0.loss_dice: 0.9413, decode.d1.loss_cls: 0.4717, decode.d1.loss_mask: 0.6032, decode.d1.loss_dice: 0.8850, decode.d2.loss_cls: 0.4228, decode.d2.loss_mask: 0.5910, decode.d2.loss_dice: 0.8614, decode.d3.loss_cls: 0.4011, decode.d3.loss_mask: 0.5826, decode.d3.loss_dice: 0.8415, decode.d4.loss_cls: 0.3968, decode.d4.loss_mask: 0.5840, decode.d4.loss_dice: 0.8349, decode.d5.loss_cls: 0.3960, decode.d5.loss_mask: 0.5773, decode.d5.loss_dice: 0.8292, decode.d6.loss_cls: 0.3930, decode.d6.loss_mask: 0.5783, decode.d6.loss_dice: 0.8151, decode.d7.loss_cls: 0.3851, decode.d7.loss_mask: 0.5772, decode.d7.loss_dice: 0.8222, decode.d8.loss_cls: 0.3921, decode.d8.loss_mask: 0.5756, decode.d8.loss_dice: 0.8230, loss: 19.9393 2022-09-15 12:15:07,655 - mmseg - INFO - Iter [25300/80000] lr: 9.817e-07, eta: 2 days, 11:29:10, time: 1.919, data_time: 0.066, memory: 47124, decode.loss_cls: 0.3591, decode.loss_mask: 0.5581, decode.loss_dice: 0.8124, decode.d0.loss_cls: 1.9387, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.9180, decode.d1.loss_cls: 0.4545, decode.d1.loss_mask: 0.5840, decode.d1.loss_dice: 0.8636, decode.d2.loss_cls: 0.3950, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8396, decode.d3.loss_cls: 0.3781, decode.d3.loss_mask: 0.5674, decode.d3.loss_dice: 0.8207, decode.d4.loss_cls: 0.3695, decode.d4.loss_mask: 0.5622, decode.d4.loss_dice: 0.8242, decode.d5.loss_cls: 0.3680, decode.d5.loss_mask: 0.5596, decode.d5.loss_dice: 0.8128, decode.d6.loss_cls: 0.3587, decode.d6.loss_mask: 0.5557, decode.d6.loss_dice: 0.8058, decode.d7.loss_cls: 0.3613, decode.d7.loss_mask: 0.5552, decode.d7.loss_dice: 0.8075, decode.d8.loss_cls: 0.3542, decode.d8.loss_mask: 0.5552, decode.d8.loss_dice: 0.8018, loss: 19.2942 2022-09-15 12:16:41,867 - mmseg - INFO - Iter [25350/80000] lr: 9.808e-07, eta: 2 days, 10:17:26, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3520, decode.loss_mask: 0.5716, decode.loss_dice: 0.8140, decode.d0.loss_cls: 1.9587, decode.d0.loss_mask: 0.5901, decode.d0.loss_dice: 0.9209, decode.d1.loss_cls: 0.4396, decode.d1.loss_mask: 0.5923, decode.d1.loss_dice: 0.8755, decode.d2.loss_cls: 0.3915, decode.d2.loss_mask: 0.5792, decode.d2.loss_dice: 0.8440, decode.d3.loss_cls: 0.3757, decode.d3.loss_mask: 0.5759, decode.d3.loss_dice: 0.8212, decode.d4.loss_cls: 0.3680, decode.d4.loss_mask: 0.5712, decode.d4.loss_dice: 0.8209, decode.d5.loss_cls: 0.3577, decode.d5.loss_mask: 0.5726, decode.d5.loss_dice: 0.8205, decode.d6.loss_cls: 0.3531, decode.d6.loss_mask: 0.5721, decode.d6.loss_dice: 0.8083, decode.d7.loss_cls: 0.3518, decode.d7.loss_mask: 0.5731, decode.d7.loss_dice: 0.8143, decode.d8.loss_cls: 0.3535, decode.d8.loss_mask: 0.5715, decode.d8.loss_dice: 0.8175, loss: 19.4283 2022-09-15 12:18:14,882 - mmseg - INFO - Iter [25400/80000] lr: 9.799e-07, eta: 2 days, 9:09:57, time: 1.860, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3669, decode.loss_mask: 0.5537, decode.loss_dice: 0.7943, decode.d0.loss_cls: 1.9446, decode.d0.loss_mask: 0.5775, decode.d0.loss_dice: 0.9177, decode.d1.loss_cls: 0.4582, decode.d1.loss_mask: 0.5791, decode.d1.loss_dice: 0.8587, decode.d2.loss_cls: 0.4011, decode.d2.loss_mask: 0.5645, decode.d2.loss_dice: 0.8284, decode.d3.loss_cls: 0.3923, decode.d3.loss_mask: 0.5581, decode.d3.loss_dice: 0.8076, decode.d4.loss_cls: 0.3780, decode.d4.loss_mask: 0.5526, decode.d4.loss_dice: 0.8053, decode.d5.loss_cls: 0.3745, decode.d5.loss_mask: 0.5534, decode.d5.loss_dice: 0.8015, decode.d6.loss_cls: 0.3688, decode.d6.loss_mask: 0.5504, decode.d6.loss_dice: 0.7959, decode.d7.loss_cls: 0.3634, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.7912, decode.d8.loss_cls: 0.3664, decode.d8.loss_mask: 0.5512, decode.d8.loss_dice: 0.7878, loss: 19.1948 2022-09-15 12:19:48,363 - mmseg - INFO - Iter [25450/80000] lr: 9.791e-07, eta: 2 days, 8:07:18, time: 1.870, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3671, decode.loss_mask: 0.5571, decode.loss_dice: 0.8172, decode.d0.loss_cls: 1.9953, decode.d0.loss_mask: 0.5884, decode.d0.loss_dice: 0.9391, decode.d1.loss_cls: 0.4594, decode.d1.loss_mask: 0.5862, decode.d1.loss_dice: 0.8799, decode.d2.loss_cls: 0.4108, decode.d2.loss_mask: 0.5693, decode.d2.loss_dice: 0.8497, decode.d3.loss_cls: 0.3916, decode.d3.loss_mask: 0.5635, decode.d3.loss_dice: 0.8345, decode.d4.loss_cls: 0.3778, decode.d4.loss_mask: 0.5647, decode.d4.loss_dice: 0.8307, decode.d5.loss_cls: 0.3757, decode.d5.loss_mask: 0.5617, decode.d5.loss_dice: 0.8230, decode.d6.loss_cls: 0.3754, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8207, decode.d7.loss_cls: 0.3695, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8218, decode.d8.loss_cls: 0.3706, decode.d8.loss_mask: 0.5574, decode.d8.loss_dice: 0.8202, loss: 19.5944 2022-09-15 12:21:21,808 - mmseg - INFO - Iter [25500/80000] lr: 9.782e-07, eta: 2 days, 7:08:42, time: 1.869, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3832, decode.loss_mask: 0.5747, decode.loss_dice: 0.8265, decode.d0.loss_cls: 1.9909, decode.d0.loss_mask: 0.6029, decode.d0.loss_dice: 0.9370, decode.d1.loss_cls: 0.4652, decode.d1.loss_mask: 0.6082, decode.d1.loss_dice: 0.8831, decode.d2.loss_cls: 0.4162, decode.d2.loss_mask: 0.5951, decode.d2.loss_dice: 0.8571, decode.d3.loss_cls: 0.3988, decode.d3.loss_mask: 0.5873, decode.d3.loss_dice: 0.8472, decode.d4.loss_cls: 0.3934, decode.d4.loss_mask: 0.5822, decode.d4.loss_dice: 0.8415, decode.d5.loss_cls: 0.3831, decode.d5.loss_mask: 0.5832, decode.d5.loss_dice: 0.8341, decode.d6.loss_cls: 0.3827, decode.d6.loss_mask: 0.5806, decode.d6.loss_dice: 0.8277, decode.d7.loss_cls: 0.3811, decode.d7.loss_mask: 0.5746, decode.d7.loss_dice: 0.8304, decode.d8.loss_cls: 0.3763, decode.d8.loss_mask: 0.5770, decode.d8.loss_dice: 0.8310, loss: 19.9522 2022-09-15 12:22:55,901 - mmseg - INFO - Iter [25550/80000] lr: 9.773e-07, eta: 2 days, 6:14:08, time: 1.882, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3800, decode.loss_mask: 0.5666, decode.loss_dice: 0.8106, decode.d0.loss_cls: 1.9425, decode.d0.loss_mask: 0.5903, decode.d0.loss_dice: 0.9285, decode.d1.loss_cls: 0.4649, decode.d1.loss_mask: 0.5885, decode.d1.loss_dice: 0.8750, decode.d2.loss_cls: 0.4165, decode.d2.loss_mask: 0.5810, decode.d2.loss_dice: 0.8433, decode.d3.loss_cls: 0.4008, decode.d3.loss_mask: 0.5756, decode.d3.loss_dice: 0.8276, decode.d4.loss_cls: 0.3925, decode.d4.loss_mask: 0.5689, decode.d4.loss_dice: 0.8227, decode.d5.loss_cls: 0.3842, decode.d5.loss_mask: 0.5659, decode.d5.loss_dice: 0.8188, decode.d6.loss_cls: 0.3915, decode.d6.loss_mask: 0.5600, decode.d6.loss_dice: 0.8130, decode.d7.loss_cls: 0.3835, decode.d7.loss_mask: 0.5655, decode.d7.loss_dice: 0.8124, decode.d8.loss_cls: 0.3819, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8116, loss: 19.6301 2022-09-15 12:24:30,596 - mmseg - INFO - Iter [25600/80000] lr: 9.764e-07, eta: 2 days, 5:23:15, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3919, decode.loss_mask: 0.5681, decode.loss_dice: 0.8124, decode.d0.loss_cls: 1.9793, decode.d0.loss_mask: 0.5906, decode.d0.loss_dice: 0.9352, decode.d1.loss_cls: 0.4719, decode.d1.loss_mask: 0.5947, decode.d1.loss_dice: 0.8914, decode.d2.loss_cls: 0.4278, decode.d2.loss_mask: 0.5820, decode.d2.loss_dice: 0.8497, decode.d3.loss_cls: 0.4165, decode.d3.loss_mask: 0.5709, decode.d3.loss_dice: 0.8341, decode.d4.loss_cls: 0.3959, decode.d4.loss_mask: 0.5715, decode.d4.loss_dice: 0.8283, decode.d5.loss_cls: 0.3950, decode.d5.loss_mask: 0.5714, decode.d5.loss_dice: 0.8282, decode.d6.loss_cls: 0.3937, decode.d6.loss_mask: 0.5698, decode.d6.loss_dice: 0.8201, decode.d7.loss_cls: 0.3872, decode.d7.loss_mask: 0.5708, decode.d7.loss_dice: 0.8217, decode.d8.loss_cls: 0.3882, decode.d8.loss_mask: 0.5680, decode.d8.loss_dice: 0.8127, loss: 19.8390 2022-09-15 12:26:04,938 - mmseg - INFO - Iter [25650/80000] lr: 9.755e-07, eta: 2 days, 4:35:09, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3931, decode.loss_mask: 0.5568, decode.loss_dice: 0.8014, decode.d0.loss_cls: 2.0082, decode.d0.loss_mask: 0.5838, decode.d0.loss_dice: 0.9358, decode.d1.loss_cls: 0.4739, decode.d1.loss_mask: 0.5842, decode.d1.loss_dice: 0.8752, decode.d2.loss_cls: 0.4286, decode.d2.loss_mask: 0.5691, decode.d2.loss_dice: 0.8381, decode.d3.loss_cls: 0.4167, decode.d3.loss_mask: 0.5600, decode.d3.loss_dice: 0.8226, decode.d4.loss_cls: 0.4073, decode.d4.loss_mask: 0.5585, decode.d4.loss_dice: 0.8152, decode.d5.loss_cls: 0.4008, decode.d5.loss_mask: 0.5554, decode.d5.loss_dice: 0.8132, decode.d6.loss_cls: 0.3995, decode.d6.loss_mask: 0.5552, decode.d6.loss_dice: 0.7965, decode.d7.loss_cls: 0.3950, decode.d7.loss_mask: 0.5544, decode.d7.loss_dice: 0.8030, decode.d8.loss_cls: 0.3947, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8043, loss: 19.6563 2022-09-15 12:27:38,535 - mmseg - INFO - Iter [25700/80000] lr: 9.746e-07, eta: 2 days, 3:49:23, time: 1.872, data_time: 0.015, memory: 47124, decode.loss_cls: 0.4040, decode.loss_mask: 0.5481, decode.loss_dice: 0.8140, decode.d0.loss_cls: 1.9825, decode.d0.loss_mask: 0.5847, decode.d0.loss_dice: 0.9327, decode.d1.loss_cls: 0.4931, decode.d1.loss_mask: 0.5807, decode.d1.loss_dice: 0.8830, decode.d2.loss_cls: 0.4393, decode.d2.loss_mask: 0.5606, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.4197, decode.d3.loss_mask: 0.5579, decode.d3.loss_dice: 0.8223, decode.d4.loss_cls: 0.4096, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8222, decode.d5.loss_cls: 0.4040, decode.d5.loss_mask: 0.5556, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.4036, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8171, decode.d7.loss_cls: 0.3983, decode.d7.loss_mask: 0.5522, decode.d7.loss_dice: 0.8166, decode.d8.loss_cls: 0.4001, decode.d8.loss_mask: 0.5511, decode.d8.loss_dice: 0.8166, loss: 19.7387 2022-09-15 12:29:12,275 - mmseg - INFO - Iter [25750/80000] lr: 9.737e-07, eta: 2 days, 3:06:13, time: 1.875, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3664, decode.loss_mask: 0.5622, decode.loss_dice: 0.7881, decode.d0.loss_cls: 1.9347, decode.d0.loss_mask: 0.5887, decode.d0.loss_dice: 0.9219, decode.d1.loss_cls: 0.4642, decode.d1.loss_mask: 0.5885, decode.d1.loss_dice: 0.8674, decode.d2.loss_cls: 0.4123, decode.d2.loss_mask: 0.5696, decode.d2.loss_dice: 0.8239, decode.d3.loss_cls: 0.3903, decode.d3.loss_mask: 0.5663, decode.d3.loss_dice: 0.8090, decode.d4.loss_cls: 0.3816, decode.d4.loss_mask: 0.5634, decode.d4.loss_dice: 0.8067, decode.d5.loss_cls: 0.3806, decode.d5.loss_mask: 0.5617, decode.d5.loss_dice: 0.8028, decode.d6.loss_cls: 0.3714, decode.d6.loss_mask: 0.5605, decode.d6.loss_dice: 0.8022, decode.d7.loss_cls: 0.3672, decode.d7.loss_mask: 0.5628, decode.d7.loss_dice: 0.7980, decode.d8.loss_cls: 0.3663, decode.d8.loss_mask: 0.5608, decode.d8.loss_dice: 0.7891, loss: 19.3285 2022-09-15 12:30:45,128 - mmseg - INFO - Iter [25800/80000] lr: 9.728e-07, eta: 2 days, 2:24:55, time: 1.857, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3509, decode.loss_mask: 0.5558, decode.loss_dice: 0.7878, decode.d0.loss_cls: 1.8967, decode.d0.loss_mask: 0.5845, decode.d0.loss_dice: 0.8939, decode.d1.loss_cls: 0.4309, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8339, decode.d2.loss_cls: 0.3852, decode.d2.loss_mask: 0.5698, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3698, decode.d3.loss_mask: 0.5595, decode.d3.loss_dice: 0.7951, decode.d4.loss_cls: 0.3630, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3555, decode.d5.loss_mask: 0.5616, decode.d5.loss_dice: 0.7922, decode.d6.loss_cls: 0.3559, decode.d6.loss_mask: 0.5538, decode.d6.loss_dice: 0.7824, decode.d7.loss_cls: 0.3522, decode.d7.loss_mask: 0.5561, decode.d7.loss_dice: 0.7851, decode.d8.loss_cls: 0.3498, decode.d8.loss_mask: 0.5554, decode.d8.loss_dice: 0.7849, loss: 18.9069 2022-09-15 12:32:19,031 - mmseg - INFO - Iter [25850/80000] lr: 9.719e-07, eta: 2 days, 1:46:16, time: 1.878, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3929, decode.loss_mask: 0.5912, decode.loss_dice: 0.8387, decode.d0.loss_cls: 1.9961, decode.d0.loss_mask: 0.6154, decode.d0.loss_dice: 0.9579, decode.d1.loss_cls: 0.4817, decode.d1.loss_mask: 0.6145, decode.d1.loss_dice: 0.9062, decode.d2.loss_cls: 0.4336, decode.d2.loss_mask: 0.6017, decode.d2.loss_dice: 0.8721, decode.d3.loss_cls: 0.4134, decode.d3.loss_mask: 0.5955, decode.d3.loss_dice: 0.8468, decode.d4.loss_cls: 0.4079, decode.d4.loss_mask: 0.5966, decode.d4.loss_dice: 0.8498, decode.d5.loss_cls: 0.4000, decode.d5.loss_mask: 0.5920, decode.d5.loss_dice: 0.8415, decode.d6.loss_cls: 0.3999, decode.d6.loss_mask: 0.5871, decode.d6.loss_dice: 0.8378, decode.d7.loss_cls: 0.3924, decode.d7.loss_mask: 0.5888, decode.d7.loss_dice: 0.8422, decode.d8.loss_cls: 0.3882, decode.d8.loss_mask: 0.5929, decode.d8.loss_dice: 0.8458, loss: 20.3208 2022-09-15 12:33:52,540 - mmseg - INFO - Iter [25900/80000] lr: 9.710e-07, eta: 2 days, 1:09:24, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.4024, decode.loss_mask: 0.5752, decode.loss_dice: 0.8203, decode.d0.loss_cls: 1.9611, decode.d0.loss_mask: 0.6052, decode.d0.loss_dice: 0.9572, decode.d1.loss_cls: 0.4980, decode.d1.loss_mask: 0.6003, decode.d1.loss_dice: 0.8794, decode.d2.loss_cls: 0.4397, decode.d2.loss_mask: 0.5847, decode.d2.loss_dice: 0.8555, decode.d3.loss_cls: 0.4253, decode.d3.loss_mask: 0.5798, decode.d3.loss_dice: 0.8280, decode.d4.loss_cls: 0.4131, decode.d4.loss_mask: 0.5813, decode.d4.loss_dice: 0.8293, decode.d5.loss_cls: 0.4078, decode.d5.loss_mask: 0.5749, decode.d5.loss_dice: 0.8261, decode.d6.loss_cls: 0.4075, decode.d6.loss_mask: 0.5755, decode.d6.loss_dice: 0.8185, decode.d7.loss_cls: 0.4086, decode.d7.loss_mask: 0.5727, decode.d7.loss_dice: 0.8192, decode.d8.loss_cls: 0.4025, decode.d8.loss_mask: 0.5751, decode.d8.loss_dice: 0.8218, loss: 20.0461 2022-09-15 12:35:26,771 - mmseg - INFO - Iter [25950/80000] lr: 9.701e-07, eta: 2 days, 0:34:37, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3756, decode.loss_mask: 0.5712, decode.loss_dice: 0.8013, decode.d0.loss_cls: 1.9614, decode.d0.loss_mask: 0.6004, decode.d0.loss_dice: 0.9200, decode.d1.loss_cls: 0.4712, decode.d1.loss_mask: 0.5938, decode.d1.loss_dice: 0.8514, decode.d2.loss_cls: 0.4139, decode.d2.loss_mask: 0.5827, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.3935, decode.d3.loss_mask: 0.5787, decode.d3.loss_dice: 0.8227, decode.d4.loss_cls: 0.3880, decode.d4.loss_mask: 0.5743, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3772, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8085, decode.d6.loss_cls: 0.3770, decode.d6.loss_mask: 0.5723, decode.d6.loss_dice: 0.8059, decode.d7.loss_cls: 0.3764, decode.d7.loss_mask: 0.5725, decode.d7.loss_dice: 0.8056, decode.d8.loss_cls: 0.3751, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.7997, loss: 19.5644 2022-09-15 12:37:00,875 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-09-15 12:37:33,307 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 12:37:33,315 - mmseg - INFO - Iter [26000/80000] lr: 9.692e-07, eta: 2 days, 0:16:04, time: 2.531, data_time: 0.018, memory: 47124, decode.loss_cls: 0.4022, decode.loss_mask: 0.5940, decode.loss_dice: 0.8366, decode.d0.loss_cls: 1.9548, decode.d0.loss_mask: 0.6292, decode.d0.loss_dice: 0.9531, decode.d1.loss_cls: 0.4775, decode.d1.loss_mask: 0.6292, decode.d1.loss_dice: 0.9054, decode.d2.loss_cls: 0.4346, decode.d2.loss_mask: 0.6072, decode.d2.loss_dice: 0.8777, decode.d3.loss_cls: 0.4179, decode.d3.loss_mask: 0.6097, decode.d3.loss_dice: 0.8551, decode.d4.loss_cls: 0.4074, decode.d4.loss_mask: 0.6019, decode.d4.loss_dice: 0.8541, decode.d5.loss_cls: 0.4040, decode.d5.loss_mask: 0.5992, decode.d5.loss_dice: 0.8423, decode.d6.loss_cls: 0.4047, decode.d6.loss_mask: 0.5970, decode.d6.loss_dice: 0.8312, decode.d7.loss_cls: 0.3999, decode.d7.loss_mask: 0.5948, decode.d7.loss_dice: 0.8373, decode.d8.loss_cls: 0.3981, decode.d8.loss_mask: 0.5946, decode.d8.loss_dice: 0.8358, loss: 20.3866 2022-09-15 12:39:06,542 - mmseg - INFO - Iter [26050/80000] lr: 9.683e-07, eta: 1 day, 23:43:46, time: 1.867, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3976, decode.loss_mask: 0.5760, decode.loss_dice: 0.8175, decode.d0.loss_cls: 1.9375, decode.d0.loss_mask: 0.6022, decode.d0.loss_dice: 0.9288, decode.d1.loss_cls: 0.4784, decode.d1.loss_mask: 0.6073, decode.d1.loss_dice: 0.8814, decode.d2.loss_cls: 0.4317, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8511, decode.d3.loss_cls: 0.4250, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8250, decode.d4.loss_cls: 0.4104, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8309, decode.d5.loss_cls: 0.3998, decode.d5.loss_mask: 0.5749, decode.d5.loss_dice: 0.8230, decode.d6.loss_cls: 0.4004, decode.d6.loss_mask: 0.5761, decode.d6.loss_dice: 0.8235, decode.d7.loss_cls: 0.3996, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8230, decode.d8.loss_cls: 0.3973, decode.d8.loss_mask: 0.5745, decode.d8.loss_dice: 0.8178, loss: 19.9288 2022-09-15 12:40:40,129 - mmseg - INFO - Iter [26100/80000] lr: 9.674e-07, eta: 1 day, 23:13:03, time: 1.872, data_time: 0.019, memory: 47124, decode.loss_cls: 0.4095, decode.loss_mask: 0.5517, decode.loss_dice: 0.7962, decode.d0.loss_cls: 2.0244, decode.d0.loss_mask: 0.5892, decode.d0.loss_dice: 0.9273, decode.d1.loss_cls: 0.4880, decode.d1.loss_mask: 0.5839, decode.d1.loss_dice: 0.8719, decode.d2.loss_cls: 0.4478, decode.d2.loss_mask: 0.5700, decode.d2.loss_dice: 0.8394, decode.d3.loss_cls: 0.4276, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.8168, decode.d4.loss_cls: 0.4165, decode.d4.loss_mask: 0.5589, decode.d4.loss_dice: 0.8129, decode.d5.loss_cls: 0.4053, decode.d5.loss_mask: 0.5561, decode.d5.loss_dice: 0.8092, decode.d6.loss_cls: 0.4057, decode.d6.loss_mask: 0.5527, decode.d6.loss_dice: 0.8018, decode.d7.loss_cls: 0.4036, decode.d7.loss_mask: 0.5510, decode.d7.loss_dice: 0.8002, decode.d8.loss_cls: 0.4035, decode.d8.loss_mask: 0.5522, decode.d8.loss_dice: 0.8020, loss: 19.7374 2022-09-15 12:42:13,445 - mmseg - INFO - Iter [26150/80000] lr: 9.665e-07, eta: 1 day, 22:43:34, time: 1.866, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3758, decode.loss_mask: 0.5756, decode.loss_dice: 0.8138, decode.d0.loss_cls: 1.9198, decode.d0.loss_mask: 0.6021, decode.d0.loss_dice: 0.9308, decode.d1.loss_cls: 0.4742, decode.d1.loss_mask: 0.6007, decode.d1.loss_dice: 0.8678, decode.d2.loss_cls: 0.4101, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.8479, decode.d3.loss_cls: 0.3986, decode.d3.loss_mask: 0.5844, decode.d3.loss_dice: 0.8298, decode.d4.loss_cls: 0.3902, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8208, decode.d5.loss_cls: 0.3800, decode.d5.loss_mask: 0.5771, decode.d5.loss_dice: 0.8182, decode.d6.loss_cls: 0.3811, decode.d6.loss_mask: 0.5746, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3810, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8121, decode.d8.loss_cls: 0.3768, decode.d8.loss_mask: 0.5732, decode.d8.loss_dice: 0.8141, loss: 19.6855 2022-09-15 12:43:48,165 - mmseg - INFO - Iter [26200/80000] lr: 9.656e-07, eta: 1 day, 22:15:54, time: 1.894, data_time: 0.018, memory: 47124, decode.loss_cls: 0.4051, decode.loss_mask: 0.5917, decode.loss_dice: 0.8338, decode.d0.loss_cls: 1.9243, decode.d0.loss_mask: 0.6227, decode.d0.loss_dice: 0.9572, decode.d1.loss_cls: 0.4798, decode.d1.loss_mask: 0.6263, decode.d1.loss_dice: 0.9019, decode.d2.loss_cls: 0.4268, decode.d2.loss_mask: 0.6155, decode.d2.loss_dice: 0.8713, decode.d3.loss_cls: 0.4232, decode.d3.loss_mask: 0.6020, decode.d3.loss_dice: 0.8466, decode.d4.loss_cls: 0.4168, decode.d4.loss_mask: 0.5964, decode.d4.loss_dice: 0.8405, decode.d5.loss_cls: 0.4079, decode.d5.loss_mask: 0.5935, decode.d5.loss_dice: 0.8423, decode.d6.loss_cls: 0.4113, decode.d6.loss_mask: 0.5914, decode.d6.loss_dice: 0.8365, decode.d7.loss_cls: 0.4024, decode.d7.loss_mask: 0.5936, decode.d7.loss_dice: 0.8328, decode.d8.loss_cls: 0.4060, decode.d8.loss_mask: 0.5889, decode.d8.loss_dice: 0.8310, loss: 20.3196 2022-09-15 12:45:22,021 - mmseg - INFO - Iter [26250/80000] lr: 9.647e-07, eta: 1 day, 21:49:05, time: 1.878, data_time: 0.019, memory: 47124, decode.loss_cls: 0.4022, decode.loss_mask: 0.5720, decode.loss_dice: 0.8269, decode.d0.loss_cls: 1.9499, decode.d0.loss_mask: 0.6008, decode.d0.loss_dice: 0.9371, decode.d1.loss_cls: 0.4911, decode.d1.loss_mask: 0.5943, decode.d1.loss_dice: 0.8884, decode.d2.loss_cls: 0.4377, decode.d2.loss_mask: 0.5835, decode.d2.loss_dice: 0.8500, decode.d3.loss_cls: 0.4220, decode.d3.loss_mask: 0.5813, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.4136, decode.d4.loss_mask: 0.5735, decode.d4.loss_dice: 0.8309, decode.d5.loss_cls: 0.4081, decode.d5.loss_mask: 0.5724, decode.d5.loss_dice: 0.8293, decode.d6.loss_cls: 0.4082, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8185, decode.d7.loss_cls: 0.4053, decode.d7.loss_mask: 0.5714, decode.d7.loss_dice: 0.8278, decode.d8.loss_cls: 0.4017, decode.d8.loss_mask: 0.5713, decode.d8.loss_dice: 0.8269, loss: 20.0006 2022-09-15 12:46:55,324 - mmseg - INFO - Iter [26300/80000] lr: 9.638e-07, eta: 1 day, 21:23:08, time: 1.866, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3874, decode.loss_mask: 0.5745, decode.loss_dice: 0.7897, decode.d0.loss_cls: 1.9106, decode.d0.loss_mask: 0.5982, decode.d0.loss_dice: 0.9165, decode.d1.loss_cls: 0.4765, decode.d1.loss_mask: 0.6005, decode.d1.loss_dice: 0.8545, decode.d2.loss_cls: 0.4266, decode.d2.loss_mask: 0.5846, decode.d2.loss_dice: 0.8193, decode.d3.loss_cls: 0.4057, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8000, decode.d4.loss_cls: 0.3946, decode.d4.loss_mask: 0.5771, decode.d4.loss_dice: 0.7988, decode.d5.loss_cls: 0.3940, decode.d5.loss_mask: 0.5740, decode.d5.loss_dice: 0.7934, decode.d6.loss_cls: 0.3913, decode.d6.loss_mask: 0.5732, decode.d6.loss_dice: 0.7816, decode.d7.loss_cls: 0.3881, decode.d7.loss_mask: 0.5713, decode.d7.loss_dice: 0.7868, decode.d8.loss_cls: 0.3860, decode.d8.loss_mask: 0.5723, decode.d8.loss_dice: 0.7881, loss: 19.4941 2022-09-15 12:48:29,396 - mmseg - INFO - Iter [26350/80000] lr: 9.629e-07, eta: 1 day, 20:58:31, time: 1.881, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3915, decode.loss_mask: 0.5542, decode.loss_dice: 0.8311, decode.d0.loss_cls: 1.9874, decode.d0.loss_mask: 0.5745, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.4826, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8836, decode.d2.loss_cls: 0.4297, decode.d2.loss_mask: 0.5630, decode.d2.loss_dice: 0.8582, decode.d3.loss_cls: 0.4164, decode.d3.loss_mask: 0.5641, decode.d3.loss_dice: 0.8413, decode.d4.loss_cls: 0.4085, decode.d4.loss_mask: 0.5620, decode.d4.loss_dice: 0.8394, decode.d5.loss_cls: 0.4024, decode.d5.loss_mask: 0.5587, decode.d5.loss_dice: 0.8286, decode.d6.loss_cls: 0.3994, decode.d6.loss_mask: 0.5522, decode.d6.loss_dice: 0.8234, decode.d7.loss_cls: 0.3966, decode.d7.loss_mask: 0.5541, decode.d7.loss_dice: 0.8214, decode.d8.loss_cls: 0.3929, decode.d8.loss_mask: 0.5547, decode.d8.loss_dice: 0.8294, loss: 19.8310 2022-09-15 12:50:03,781 - mmseg - INFO - Iter [26400/80000] lr: 9.620e-07, eta: 1 day, 20:34:59, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3770, decode.loss_mask: 0.5896, decode.loss_dice: 0.8374, decode.d0.loss_cls: 1.9296, decode.d0.loss_mask: 0.6090, decode.d0.loss_dice: 0.9365, decode.d1.loss_cls: 0.4534, decode.d1.loss_mask: 0.6174, decode.d1.loss_dice: 0.8935, decode.d2.loss_cls: 0.4061, decode.d2.loss_mask: 0.6051, decode.d2.loss_dice: 0.8689, decode.d3.loss_cls: 0.3917, decode.d3.loss_mask: 0.5977, decode.d3.loss_dice: 0.8513, decode.d4.loss_cls: 0.3775, decode.d4.loss_mask: 0.5966, decode.d4.loss_dice: 0.8493, decode.d5.loss_cls: 0.3769, decode.d5.loss_mask: 0.5945, decode.d5.loss_dice: 0.8433, decode.d6.loss_cls: 0.3775, decode.d6.loss_mask: 0.5948, decode.d6.loss_dice: 0.8400, decode.d7.loss_cls: 0.3758, decode.d7.loss_mask: 0.5900, decode.d7.loss_dice: 0.8413, decode.d8.loss_cls: 0.3739, decode.d8.loss_mask: 0.5860, decode.d8.loss_dice: 0.8336, loss: 20.0151 2022-09-15 12:51:37,343 - mmseg - INFO - Iter [26450/80000] lr: 9.611e-07, eta: 1 day, 20:12:02, time: 1.871, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3856, decode.loss_mask: 0.5375, decode.loss_dice: 0.8015, decode.d0.loss_cls: 1.9754, decode.d0.loss_mask: 0.5660, decode.d0.loss_dice: 0.9159, decode.d1.loss_cls: 0.4700, decode.d1.loss_mask: 0.5699, decode.d1.loss_dice: 0.8649, decode.d2.loss_cls: 0.4183, decode.d2.loss_mask: 0.5529, decode.d2.loss_dice: 0.8305, decode.d3.loss_cls: 0.4061, decode.d3.loss_mask: 0.5488, decode.d3.loss_dice: 0.8131, decode.d4.loss_cls: 0.3999, decode.d4.loss_mask: 0.5463, decode.d4.loss_dice: 0.8127, decode.d5.loss_cls: 0.3880, decode.d5.loss_mask: 0.5435, decode.d5.loss_dice: 0.8088, decode.d6.loss_cls: 0.3888, decode.d6.loss_mask: 0.5406, decode.d6.loss_dice: 0.8022, decode.d7.loss_cls: 0.3888, decode.d7.loss_mask: 0.5407, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.3865, decode.d8.loss_mask: 0.5402, decode.d8.loss_dice: 0.8035, loss: 19.3518 2022-09-15 12:53:11,912 - mmseg - INFO - Iter [26500/80000] lr: 9.602e-07, eta: 1 day, 19:50:18, time: 1.891, data_time: 0.017, memory: 47124, decode.loss_cls: 0.4244, decode.loss_mask: 0.5886, decode.loss_dice: 0.8352, decode.d0.loss_cls: 1.9923, decode.d0.loss_mask: 0.6168, decode.d0.loss_dice: 0.9590, decode.d1.loss_cls: 0.5081, decode.d1.loss_mask: 0.6218, decode.d1.loss_dice: 0.9032, decode.d2.loss_cls: 0.4591, decode.d2.loss_mask: 0.5987, decode.d2.loss_dice: 0.8681, decode.d3.loss_cls: 0.4428, decode.d3.loss_mask: 0.5934, decode.d3.loss_dice: 0.8523, decode.d4.loss_cls: 0.4302, decode.d4.loss_mask: 0.5916, decode.d4.loss_dice: 0.8462, decode.d5.loss_cls: 0.4254, decode.d5.loss_mask: 0.5888, decode.d5.loss_dice: 0.8458, decode.d6.loss_cls: 0.4263, decode.d6.loss_mask: 0.5884, decode.d6.loss_dice: 0.8373, decode.d7.loss_cls: 0.4190, decode.d7.loss_mask: 0.5872, decode.d7.loss_dice: 0.8367, decode.d8.loss_cls: 0.4232, decode.d8.loss_mask: 0.5888, decode.d8.loss_dice: 0.8398, loss: 20.5384 2022-09-15 12:54:49,438 - mmseg - INFO - Iter [26550/80000] lr: 9.593e-07, eta: 1 day, 19:30:23, time: 1.950, data_time: 0.063, memory: 47124, decode.loss_cls: 0.3598, decode.loss_mask: 0.5502, decode.loss_dice: 0.8018, decode.d0.loss_cls: 1.9171, decode.d0.loss_mask: 0.5774, decode.d0.loss_dice: 0.8938, decode.d1.loss_cls: 0.4441, decode.d1.loss_mask: 0.5750, decode.d1.loss_dice: 0.8563, decode.d2.loss_cls: 0.3958, decode.d2.loss_mask: 0.5589, decode.d2.loss_dice: 0.8244, decode.d3.loss_cls: 0.3842, decode.d3.loss_mask: 0.5556, decode.d3.loss_dice: 0.8061, decode.d4.loss_cls: 0.3694, decode.d4.loss_mask: 0.5540, decode.d4.loss_dice: 0.8006, decode.d5.loss_cls: 0.3645, decode.d5.loss_mask: 0.5533, decode.d5.loss_dice: 0.8042, decode.d6.loss_cls: 0.3670, decode.d6.loss_mask: 0.5483, decode.d6.loss_dice: 0.8006, decode.d7.loss_cls: 0.3599, decode.d7.loss_mask: 0.5489, decode.d7.loss_dice: 0.8018, decode.d8.loss_cls: 0.3585, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8024, loss: 19.0849 2022-09-15 12:56:24,341 - mmseg - INFO - Iter [26600/80000] lr: 9.584e-07, eta: 1 day, 19:10:18, time: 1.899, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3759, decode.loss_mask: 0.5685, decode.loss_dice: 0.8078, decode.d0.loss_cls: 1.9731, decode.d0.loss_mask: 0.6061, decode.d0.loss_dice: 0.9278, decode.d1.loss_cls: 0.4710, decode.d1.loss_mask: 0.5983, decode.d1.loss_dice: 0.8691, decode.d2.loss_cls: 0.4113, decode.d2.loss_mask: 0.5837, decode.d2.loss_dice: 0.8300, decode.d3.loss_cls: 0.3993, decode.d3.loss_mask: 0.5773, decode.d3.loss_dice: 0.8135, decode.d4.loss_cls: 0.3816, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3834, decode.d5.loss_mask: 0.5686, decode.d5.loss_dice: 0.8108, decode.d6.loss_cls: 0.3756, decode.d6.loss_mask: 0.5701, decode.d6.loss_dice: 0.8077, decode.d7.loss_cls: 0.3755, decode.d7.loss_mask: 0.5702, decode.d7.loss_dice: 0.8099, decode.d8.loss_cls: 0.3730, decode.d8.loss_mask: 0.5692, decode.d8.loss_dice: 0.8131, loss: 19.6126 2022-09-15 12:57:58,286 - mmseg - INFO - Iter [26650/80000] lr: 9.575e-07, eta: 1 day, 18:50:34, time: 1.879, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3644, decode.loss_mask: 0.5607, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.9271, decode.d0.loss_mask: 0.5864, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4472, decode.d1.loss_mask: 0.5840, decode.d1.loss_dice: 0.8772, decode.d2.loss_cls: 0.4008, decode.d2.loss_mask: 0.5700, decode.d2.loss_dice: 0.8429, decode.d3.loss_cls: 0.3865, decode.d3.loss_mask: 0.5629, decode.d3.loss_dice: 0.8183, decode.d4.loss_cls: 0.3745, decode.d4.loss_mask: 0.5623, decode.d4.loss_dice: 0.8232, decode.d5.loss_cls: 0.3687, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.8152, decode.d6.loss_cls: 0.3696, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.8150, decode.d7.loss_cls: 0.3630, decode.d7.loss_mask: 0.5604, decode.d7.loss_dice: 0.8118, decode.d8.loss_cls: 0.3639, decode.d8.loss_mask: 0.5588, decode.d8.loss_dice: 0.8125, loss: 19.3854 2022-09-15 12:59:32,944 - mmseg - INFO - Iter [26700/80000] lr: 9.566e-07, eta: 1 day, 18:31:45, time: 1.893, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3771, decode.loss_mask: 0.5668, decode.loss_dice: 0.7958, decode.d0.loss_cls: 1.9096, decode.d0.loss_mask: 0.5879, decode.d0.loss_dice: 0.9100, decode.d1.loss_cls: 0.4592, decode.d1.loss_mask: 0.5925, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.4058, decode.d2.loss_mask: 0.5799, decode.d2.loss_dice: 0.8221, decode.d3.loss_cls: 0.3930, decode.d3.loss_mask: 0.5734, decode.d3.loss_dice: 0.8042, decode.d4.loss_cls: 0.3809, decode.d4.loss_mask: 0.5716, decode.d4.loss_dice: 0.8064, decode.d5.loss_cls: 0.3693, decode.d5.loss_mask: 0.5715, decode.d5.loss_dice: 0.8031, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.5682, decode.d6.loss_dice: 0.7940, decode.d7.loss_cls: 0.3706, decode.d7.loss_mask: 0.5673, decode.d7.loss_dice: 0.7989, decode.d8.loss_cls: 0.3730, decode.d8.loss_mask: 0.5688, decode.d8.loss_dice: 0.7970, loss: 19.3488 2022-09-15 13:01:08,440 - mmseg - INFO - Iter [26750/80000] lr: 9.557e-07, eta: 1 day, 18:13:50, time: 1.910, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3697, decode.loss_mask: 0.5425, decode.loss_dice: 0.8122, decode.d0.loss_cls: 1.9372, decode.d0.loss_mask: 0.5696, decode.d0.loss_dice: 0.9274, decode.d1.loss_cls: 0.4601, decode.d1.loss_mask: 0.5670, decode.d1.loss_dice: 0.8689, decode.d2.loss_cls: 0.4130, decode.d2.loss_mask: 0.5538, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3887, decode.d3.loss_mask: 0.5521, decode.d3.loss_dice: 0.8198, decode.d4.loss_cls: 0.3860, decode.d4.loss_mask: 0.5424, decode.d4.loss_dice: 0.8174, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5410, decode.d5.loss_dice: 0.8168, decode.d6.loss_cls: 0.3709, decode.d6.loss_mask: 0.5405, decode.d6.loss_dice: 0.8118, decode.d7.loss_cls: 0.3739, decode.d7.loss_mask: 0.5422, decode.d7.loss_dice: 0.8125, decode.d8.loss_cls: 0.3717, decode.d8.loss_mask: 0.5425, decode.d8.loss_dice: 0.8081, loss: 19.2753 2022-09-15 13:02:41,939 - mmseg - INFO - Iter [26800/80000] lr: 9.548e-07, eta: 1 day, 17:55:52, time: 1.870, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3842, decode.loss_mask: 0.5375, decode.loss_dice: 0.7859, decode.d0.loss_cls: 1.9910, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.9058, decode.d1.loss_cls: 0.4713, decode.d1.loss_mask: 0.5649, decode.d1.loss_dice: 0.8484, decode.d2.loss_cls: 0.4167, decode.d2.loss_mask: 0.5540, decode.d2.loss_dice: 0.8155, decode.d3.loss_cls: 0.4068, decode.d3.loss_mask: 0.5458, decode.d3.loss_dice: 0.7957, decode.d4.loss_cls: 0.3934, decode.d4.loss_mask: 0.5447, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3895, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.7901, decode.d6.loss_cls: 0.3834, decode.d6.loss_mask: 0.5368, decode.d6.loss_dice: 0.7892, decode.d7.loss_cls: 0.3865, decode.d7.loss_mask: 0.5384, decode.d7.loss_dice: 0.7903, decode.d8.loss_cls: 0.3858, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7842, loss: 19.1786 2022-09-15 13:04:16,697 - mmseg - INFO - Iter [26850/80000] lr: 9.539e-07, eta: 1 day, 17:38:51, time: 1.895, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3771, decode.loss_mask: 0.5589, decode.loss_dice: 0.8107, decode.d0.loss_cls: 1.9758, decode.d0.loss_mask: 0.5881, decode.d0.loss_dice: 0.9282, decode.d1.loss_cls: 0.4672, decode.d1.loss_mask: 0.5888, decode.d1.loss_dice: 0.8687, decode.d2.loss_cls: 0.4144, decode.d2.loss_mask: 0.5735, decode.d2.loss_dice: 0.8447, decode.d3.loss_cls: 0.3974, decode.d3.loss_mask: 0.5659, decode.d3.loss_dice: 0.8305, decode.d4.loss_cls: 0.3888, decode.d4.loss_mask: 0.5679, decode.d4.loss_dice: 0.8254, decode.d5.loss_cls: 0.3839, decode.d5.loss_mask: 0.5639, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3829, decode.d6.loss_mask: 0.5587, decode.d6.loss_dice: 0.8111, decode.d7.loss_cls: 0.3787, decode.d7.loss_mask: 0.5586, decode.d7.loss_dice: 0.8133, decode.d8.loss_cls: 0.3711, decode.d8.loss_mask: 0.5621, decode.d8.loss_dice: 0.8127, loss: 19.5911 2022-09-15 13:05:49,187 - mmseg - INFO - Iter [26900/80000] lr: 9.530e-07, eta: 1 day, 17:21:41, time: 1.850, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3775, decode.loss_mask: 0.5791, decode.loss_dice: 0.8125, decode.d0.loss_cls: 1.9199, decode.d0.loss_mask: 0.6083, decode.d0.loss_dice: 0.9300, decode.d1.loss_cls: 0.4630, decode.d1.loss_mask: 0.6075, decode.d1.loss_dice: 0.8704, decode.d2.loss_cls: 0.4209, decode.d2.loss_mask: 0.5937, decode.d2.loss_dice: 0.8458, decode.d3.loss_cls: 0.4070, decode.d3.loss_mask: 0.5883, decode.d3.loss_dice: 0.8314, decode.d4.loss_cls: 0.3977, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8220, decode.d5.loss_cls: 0.3860, decode.d5.loss_mask: 0.5820, decode.d5.loss_dice: 0.8229, decode.d6.loss_cls: 0.3853, decode.d6.loss_mask: 0.5775, decode.d6.loss_dice: 0.8082, decode.d7.loss_cls: 0.3825, decode.d7.loss_mask: 0.5803, decode.d7.loss_dice: 0.8090, decode.d8.loss_cls: 0.3781, decode.d8.loss_mask: 0.5799, decode.d8.loss_dice: 0.8148, loss: 19.7681 2022-09-15 13:07:23,891 - mmseg - INFO - Iter [26950/80000] lr: 9.521e-07, eta: 1 day, 17:05:43, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3730, decode.loss_mask: 0.5574, decode.loss_dice: 0.8047, decode.d0.loss_cls: 1.9543, decode.d0.loss_mask: 0.5909, decode.d0.loss_dice: 0.9221, decode.d1.loss_cls: 0.4552, decode.d1.loss_mask: 0.5874, decode.d1.loss_dice: 0.8752, decode.d2.loss_cls: 0.4074, decode.d2.loss_mask: 0.5767, decode.d2.loss_dice: 0.8403, decode.d3.loss_cls: 0.3916, decode.d3.loss_mask: 0.5685, decode.d3.loss_dice: 0.8183, decode.d4.loss_cls: 0.3887, decode.d4.loss_mask: 0.5626, decode.d4.loss_dice: 0.8154, decode.d5.loss_cls: 0.3854, decode.d5.loss_mask: 0.5591, decode.d5.loss_dice: 0.8138, decode.d6.loss_cls: 0.3817, decode.d6.loss_mask: 0.5549, decode.d6.loss_dice: 0.8065, decode.d7.loss_cls: 0.3748, decode.d7.loss_mask: 0.5576, decode.d7.loss_dice: 0.8061, decode.d8.loss_cls: 0.3730, decode.d8.loss_mask: 0.5552, decode.d8.loss_dice: 0.8047, loss: 19.4623 2022-09-15 13:08:58,545 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-09-15 13:09:31,567 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 13:09:31,575 - mmseg - INFO - Iter [27000/80000] lr: 9.512e-07, eta: 1 day, 16:59:54, time: 2.551, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3712, decode.loss_mask: 0.5800, decode.loss_dice: 0.8090, decode.d0.loss_cls: 1.8829, decode.d0.loss_mask: 0.6054, decode.d0.loss_dice: 0.9222, decode.d1.loss_cls: 0.4629, decode.d1.loss_mask: 0.6067, decode.d1.loss_dice: 0.8617, decode.d2.loss_cls: 0.4100, decode.d2.loss_mask: 0.5944, decode.d2.loss_dice: 0.8410, decode.d3.loss_cls: 0.3923, decode.d3.loss_mask: 0.5873, decode.d3.loss_dice: 0.8292, decode.d4.loss_cls: 0.3834, decode.d4.loss_mask: 0.5836, decode.d4.loss_dice: 0.8216, decode.d5.loss_cls: 0.3743, decode.d5.loss_mask: 0.5823, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3708, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8097, decode.d7.loss_cls: 0.3688, decode.d7.loss_mask: 0.5787, decode.d7.loss_dice: 0.8097, decode.d8.loss_cls: 0.3728, decode.d8.loss_mask: 0.5755, decode.d8.loss_dice: 0.8094, loss: 19.5996 2022-09-15 13:11:04,977 - mmseg - INFO - Iter [27050/80000] lr: 9.503e-07, eta: 1 day, 16:44:19, time: 1.868, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3647, decode.loss_mask: 0.5559, decode.loss_dice: 0.7863, decode.d0.loss_cls: 1.9059, decode.d0.loss_mask: 0.5866, decode.d0.loss_dice: 0.9016, decode.d1.loss_cls: 0.4447, decode.d1.loss_mask: 0.5844, decode.d1.loss_dice: 0.8454, decode.d2.loss_cls: 0.3951, decode.d2.loss_mask: 0.5684, decode.d2.loss_dice: 0.8214, decode.d3.loss_cls: 0.3789, decode.d3.loss_mask: 0.5657, decode.d3.loss_dice: 0.7999, decode.d4.loss_cls: 0.3747, decode.d4.loss_mask: 0.5607, decode.d4.loss_dice: 0.7942, decode.d5.loss_cls: 0.3765, decode.d5.loss_mask: 0.5584, decode.d5.loss_dice: 0.7940, decode.d6.loss_cls: 0.3710, decode.d6.loss_mask: 0.5538, decode.d6.loss_dice: 0.7857, decode.d7.loss_cls: 0.3665, decode.d7.loss_mask: 0.5557, decode.d7.loss_dice: 0.7859, decode.d8.loss_cls: 0.3626, decode.d8.loss_mask: 0.5559, decode.d8.loss_dice: 0.7861, loss: 19.0865 2022-09-15 13:12:39,109 - mmseg - INFO - Iter [27100/80000] lr: 9.494e-07, eta: 1 day, 16:29:26, time: 1.885, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3840, decode.loss_mask: 0.5477, decode.loss_dice: 0.8089, decode.d0.loss_cls: 1.9258, decode.d0.loss_mask: 0.5814, decode.d0.loss_dice: 0.9358, decode.d1.loss_cls: 0.4530, decode.d1.loss_mask: 0.5791, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.4123, decode.d2.loss_mask: 0.5614, decode.d2.loss_dice: 0.8492, decode.d3.loss_cls: 0.3967, decode.d3.loss_mask: 0.5574, decode.d3.loss_dice: 0.8317, decode.d4.loss_cls: 0.3881, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8275, decode.d5.loss_cls: 0.3825, decode.d5.loss_mask: 0.5526, decode.d5.loss_dice: 0.8279, decode.d6.loss_cls: 0.3847, decode.d6.loss_mask: 0.5487, decode.d6.loss_dice: 0.8180, decode.d7.loss_cls: 0.3778, decode.d7.loss_mask: 0.5497, decode.d7.loss_dice: 0.8189, decode.d8.loss_cls: 0.3788, decode.d8.loss_mask: 0.5488, decode.d8.loss_dice: 0.8156, loss: 19.4810 2022-09-15 13:14:12,838 - mmseg - INFO - Iter [27150/80000] lr: 9.485e-07, eta: 1 day, 16:14:50, time: 1.875, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3947, decode.loss_mask: 0.5344, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.9838, decode.d0.loss_mask: 0.5635, decode.d0.loss_dice: 0.9346, decode.d1.loss_cls: 0.4841, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8875, decode.d2.loss_cls: 0.4327, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.8540, decode.d3.loss_cls: 0.4215, decode.d3.loss_mask: 0.5426, decode.d3.loss_dice: 0.8265, decode.d4.loss_cls: 0.4100, decode.d4.loss_mask: 0.5405, decode.d4.loss_dice: 0.8216, decode.d5.loss_cls: 0.4088, decode.d5.loss_mask: 0.5382, decode.d5.loss_dice: 0.8222, decode.d6.loss_cls: 0.3979, decode.d6.loss_mask: 0.5364, decode.d6.loss_dice: 0.8081, decode.d7.loss_cls: 0.4001, decode.d7.loss_mask: 0.5344, decode.d7.loss_dice: 0.8110, decode.d8.loss_cls: 0.3987, decode.d8.loss_mask: 0.5329, decode.d8.loss_dice: 0.8084, loss: 19.5444 2022-09-15 13:15:47,372 - mmseg - INFO - Iter [27200/80000] lr: 9.476e-07, eta: 1 day, 16:00:51, time: 1.891, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3509, decode.loss_mask: 0.5455, decode.loss_dice: 0.7697, decode.d0.loss_cls: 1.8893, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4269, decode.d1.loss_mask: 0.5738, decode.d1.loss_dice: 0.8367, decode.d2.loss_cls: 0.3792, decode.d2.loss_mask: 0.5567, decode.d2.loss_dice: 0.8051, decode.d3.loss_cls: 0.3640, decode.d3.loss_mask: 0.5475, decode.d3.loss_dice: 0.7816, decode.d4.loss_cls: 0.3503, decode.d4.loss_mask: 0.5483, decode.d4.loss_dice: 0.7839, decode.d5.loss_cls: 0.3521, decode.d5.loss_mask: 0.5477, decode.d5.loss_dice: 0.7764, decode.d6.loss_cls: 0.3484, decode.d6.loss_mask: 0.5470, decode.d6.loss_dice: 0.7705, decode.d7.loss_cls: 0.3502, decode.d7.loss_mask: 0.5447, decode.d7.loss_dice: 0.7712, decode.d8.loss_cls: 0.3434, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.7702, loss: 18.6459 2022-09-15 13:17:21,779 - mmseg - INFO - Iter [27250/80000] lr: 9.467e-07, eta: 1 day, 15:47:13, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3730, decode.loss_mask: 0.5547, decode.loss_dice: 0.7935, decode.d0.loss_cls: 1.9029, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.9188, decode.d1.loss_cls: 0.4678, decode.d1.loss_mask: 0.5840, decode.d1.loss_dice: 0.8552, decode.d2.loss_cls: 0.4156, decode.d2.loss_mask: 0.5681, decode.d2.loss_dice: 0.8223, decode.d3.loss_cls: 0.3938, decode.d3.loss_mask: 0.5611, decode.d3.loss_dice: 0.8059, decode.d4.loss_cls: 0.3848, decode.d4.loss_mask: 0.5587, decode.d4.loss_dice: 0.8059, decode.d5.loss_cls: 0.3787, decode.d5.loss_mask: 0.5583, decode.d5.loss_dice: 0.8039, decode.d6.loss_cls: 0.3784, decode.d6.loss_mask: 0.5517, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3695, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.8018, decode.d8.loss_cls: 0.3704, decode.d8.loss_mask: 0.5517, decode.d8.loss_dice: 0.7993, loss: 19.2577 2022-09-15 13:18:54,855 - mmseg - INFO - Iter [27300/80000] lr: 9.458e-07, eta: 1 day, 15:33:35, time: 1.861, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3725, decode.loss_mask: 0.5741, decode.loss_dice: 0.8237, decode.d0.loss_cls: 1.9429, decode.d0.loss_mask: 0.6012, decode.d0.loss_dice: 0.9340, decode.d1.loss_cls: 0.4612, decode.d1.loss_mask: 0.6014, decode.d1.loss_dice: 0.8811, decode.d2.loss_cls: 0.4129, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8504, decode.d3.loss_cls: 0.3922, decode.d3.loss_mask: 0.5843, decode.d3.loss_dice: 0.8368, decode.d4.loss_cls: 0.3816, decode.d4.loss_mask: 0.5755, decode.d4.loss_dice: 0.8367, decode.d5.loss_cls: 0.3728, decode.d5.loss_mask: 0.5778, decode.d5.loss_dice: 0.8307, decode.d6.loss_cls: 0.3750, decode.d6.loss_mask: 0.5738, decode.d6.loss_dice: 0.8240, decode.d7.loss_cls: 0.3748, decode.d7.loss_mask: 0.5739, decode.d7.loss_dice: 0.8202, decode.d8.loss_cls: 0.3684, decode.d8.loss_mask: 0.5742, decode.d8.loss_dice: 0.8251, loss: 19.7401 2022-09-15 13:20:28,856 - mmseg - INFO - Iter [27350/80000] lr: 9.450e-07, eta: 1 day, 15:20:34, time: 1.880, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3740, decode.loss_mask: 0.5449, decode.loss_dice: 0.7767, decode.d0.loss_cls: 1.9212, decode.d0.loss_mask: 0.5710, decode.d0.loss_dice: 0.8910, decode.d1.loss_cls: 0.4508, decode.d1.loss_mask: 0.5722, decode.d1.loss_dice: 0.8324, decode.d2.loss_cls: 0.4065, decode.d2.loss_mask: 0.5595, decode.d2.loss_dice: 0.8026, decode.d3.loss_cls: 0.3914, decode.d3.loss_mask: 0.5519, decode.d3.loss_dice: 0.7958, decode.d4.loss_cls: 0.3759, decode.d4.loss_mask: 0.5535, decode.d4.loss_dice: 0.7909, decode.d5.loss_cls: 0.3793, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.7821, decode.d6.loss_cls: 0.3705, decode.d6.loss_mask: 0.5456, decode.d6.loss_dice: 0.7810, decode.d7.loss_cls: 0.3678, decode.d7.loss_mask: 0.5441, decode.d7.loss_dice: 0.7795, decode.d8.loss_cls: 0.3646, decode.d8.loss_mask: 0.5455, decode.d8.loss_dice: 0.7773, loss: 18.9462 2022-09-15 13:22:02,566 - mmseg - INFO - Iter [27400/80000] lr: 9.441e-07, eta: 1 day, 15:07:49, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3619, decode.loss_mask: 0.5719, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.9037, decode.d0.loss_mask: 0.6057, decode.d0.loss_dice: 0.9277, decode.d1.loss_cls: 0.4514, decode.d1.loss_mask: 0.6067, decode.d1.loss_dice: 0.8665, decode.d2.loss_cls: 0.4019, decode.d2.loss_mask: 0.5877, decode.d2.loss_dice: 0.8378, decode.d3.loss_cls: 0.3831, decode.d3.loss_mask: 0.5836, decode.d3.loss_dice: 0.8228, decode.d4.loss_cls: 0.3724, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8216, decode.d5.loss_cls: 0.3696, decode.d5.loss_mask: 0.5765, decode.d5.loss_dice: 0.8178, decode.d6.loss_cls: 0.3650, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8119, decode.d7.loss_cls: 0.3669, decode.d7.loss_mask: 0.5715, decode.d7.loss_dice: 0.8101, decode.d8.loss_cls: 0.3656, decode.d8.loss_mask: 0.5715, decode.d8.loss_dice: 0.8118, loss: 19.5096 2022-09-15 13:23:35,011 - mmseg - INFO - Iter [27450/80000] lr: 9.432e-07, eta: 1 day, 14:55:04, time: 1.849, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3893, decode.loss_mask: 0.5658, decode.loss_dice: 0.8285, decode.d0.loss_cls: 1.9440, decode.d0.loss_mask: 0.6000, decode.d0.loss_dice: 0.9629, decode.d1.loss_cls: 0.4710, decode.d1.loss_mask: 0.5993, decode.d1.loss_dice: 0.8928, decode.d2.loss_cls: 0.4156, decode.d2.loss_mask: 0.5838, decode.d2.loss_dice: 0.8708, decode.d3.loss_cls: 0.4016, decode.d3.loss_mask: 0.5762, decode.d3.loss_dice: 0.8493, decode.d4.loss_cls: 0.3986, decode.d4.loss_mask: 0.5681, decode.d4.loss_dice: 0.8402, decode.d5.loss_cls: 0.3847, decode.d5.loss_mask: 0.5675, decode.d5.loss_dice: 0.8440, decode.d6.loss_cls: 0.3950, decode.d6.loss_mask: 0.5641, decode.d6.loss_dice: 0.8269, decode.d7.loss_cls: 0.3929, decode.d7.loss_mask: 0.5665, decode.d7.loss_dice: 0.8321, decode.d8.loss_cls: 0.3901, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8321, loss: 19.9190 2022-09-15 13:25:09,478 - mmseg - INFO - Iter [27500/80000] lr: 9.423e-07, eta: 1 day, 14:43:08, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3533, decode.loss_mask: 0.5566, decode.loss_dice: 0.8058, decode.d0.loss_cls: 1.9153, decode.d0.loss_mask: 0.5858, decode.d0.loss_dice: 0.9252, decode.d1.loss_cls: 0.4450, decode.d1.loss_mask: 0.5839, decode.d1.loss_dice: 0.8647, decode.d2.loss_cls: 0.3886, decode.d2.loss_mask: 0.5718, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.3761, decode.d3.loss_mask: 0.5645, decode.d3.loss_dice: 0.8213, decode.d4.loss_cls: 0.3660, decode.d4.loss_mask: 0.5628, decode.d4.loss_dice: 0.8179, decode.d5.loss_cls: 0.3566, decode.d5.loss_mask: 0.5616, decode.d5.loss_dice: 0.8146, decode.d6.loss_cls: 0.3525, decode.d6.loss_mask: 0.5590, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3530, decode.d7.loss_mask: 0.5544, decode.d7.loss_dice: 0.8101, decode.d8.loss_cls: 0.3516, decode.d8.loss_mask: 0.5561, decode.d8.loss_dice: 0.8099, loss: 19.2331 2022-09-15 13:26:43,472 - mmseg - INFO - Iter [27550/80000] lr: 9.414e-07, eta: 1 day, 14:31:23, time: 1.880, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3620, decode.loss_mask: 0.5822, decode.loss_dice: 0.8343, decode.d0.loss_cls: 1.9369, decode.d0.loss_mask: 0.6041, decode.d0.loss_dice: 0.9462, decode.d1.loss_cls: 0.4529, decode.d1.loss_mask: 0.6081, decode.d1.loss_dice: 0.8998, decode.d2.loss_cls: 0.4003, decode.d2.loss_mask: 0.5921, decode.d2.loss_dice: 0.8664, decode.d3.loss_cls: 0.3827, decode.d3.loss_mask: 0.5853, decode.d3.loss_dice: 0.8447, decode.d4.loss_cls: 0.3739, decode.d4.loss_mask: 0.5854, decode.d4.loss_dice: 0.8381, decode.d5.loss_cls: 0.3707, decode.d5.loss_mask: 0.5818, decode.d5.loss_dice: 0.8325, decode.d6.loss_cls: 0.3674, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.8278, decode.d7.loss_cls: 0.3651, decode.d7.loss_mask: 0.5791, decode.d7.loss_dice: 0.8322, decode.d8.loss_cls: 0.3665, decode.d8.loss_mask: 0.5805, decode.d8.loss_dice: 0.8319, loss: 19.8088 2022-09-15 13:28:17,434 - mmseg - INFO - Iter [27600/80000] lr: 9.405e-07, eta: 1 day, 14:19:54, time: 1.879, data_time: 0.022, memory: 47124, decode.loss_cls: 0.3827, decode.loss_mask: 0.5617, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.9641, decode.d0.loss_mask: 0.5888, decode.d0.loss_dice: 0.9157, decode.d1.loss_cls: 0.4708, decode.d1.loss_mask: 0.5809, decode.d1.loss_dice: 0.8710, decode.d2.loss_cls: 0.4213, decode.d2.loss_mask: 0.5751, decode.d2.loss_dice: 0.8459, decode.d3.loss_cls: 0.4073, decode.d3.loss_mask: 0.5648, decode.d3.loss_dice: 0.8216, decode.d4.loss_cls: 0.3945, decode.d4.loss_mask: 0.5657, decode.d4.loss_dice: 0.8207, decode.d5.loss_cls: 0.3834, decode.d5.loss_mask: 0.5612, decode.d5.loss_dice: 0.8206, decode.d6.loss_cls: 0.3928, decode.d6.loss_mask: 0.5588, decode.d6.loss_dice: 0.8068, decode.d7.loss_cls: 0.3882, decode.d7.loss_mask: 0.5606, decode.d7.loss_dice: 0.8064, decode.d8.loss_cls: 0.3828, decode.d8.loss_mask: 0.5630, decode.d8.loss_dice: 0.8051, loss: 19.5925 2022-09-15 13:29:52,163 - mmseg - INFO - Iter [27650/80000] lr: 9.396e-07, eta: 1 day, 14:08:53, time: 1.894, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3837, decode.loss_mask: 0.5557, decode.loss_dice: 0.8071, decode.d0.loss_cls: 1.9365, decode.d0.loss_mask: 0.5809, decode.d0.loss_dice: 0.9360, decode.d1.loss_cls: 0.4846, decode.d1.loss_mask: 0.5799, decode.d1.loss_dice: 0.8653, decode.d2.loss_cls: 0.4207, decode.d2.loss_mask: 0.5697, decode.d2.loss_dice: 0.8356, decode.d3.loss_cls: 0.4024, decode.d3.loss_mask: 0.5621, decode.d3.loss_dice: 0.8254, decode.d4.loss_cls: 0.3931, decode.d4.loss_mask: 0.5588, decode.d4.loss_dice: 0.8248, decode.d5.loss_cls: 0.3865, decode.d5.loss_mask: 0.5599, decode.d5.loss_dice: 0.8213, decode.d6.loss_cls: 0.3843, decode.d6.loss_mask: 0.5553, decode.d6.loss_dice: 0.8136, decode.d7.loss_cls: 0.3826, decode.d7.loss_mask: 0.5541, decode.d7.loss_dice: 0.8143, decode.d8.loss_cls: 0.3813, decode.d8.loss_mask: 0.5556, decode.d8.loss_dice: 0.8129, loss: 19.5441 2022-09-15 13:31:25,219 - mmseg - INFO - Iter [27700/80000] lr: 9.387e-07, eta: 1 day, 13:57:43, time: 1.861, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3743, decode.loss_mask: 0.5529, decode.loss_dice: 0.8103, decode.d0.loss_cls: 1.9559, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.9269, decode.d1.loss_cls: 0.4636, decode.d1.loss_mask: 0.5736, decode.d1.loss_dice: 0.8696, decode.d2.loss_cls: 0.4057, decode.d2.loss_mask: 0.5636, decode.d2.loss_dice: 0.8434, decode.d3.loss_cls: 0.3956, decode.d3.loss_mask: 0.5581, decode.d3.loss_dice: 0.8242, decode.d4.loss_cls: 0.3926, decode.d4.loss_mask: 0.5522, decode.d4.loss_dice: 0.8215, decode.d5.loss_cls: 0.3864, decode.d5.loss_mask: 0.5512, decode.d5.loss_dice: 0.8166, decode.d6.loss_cls: 0.3785, decode.d6.loss_mask: 0.5512, decode.d6.loss_dice: 0.8041, decode.d7.loss_cls: 0.3777, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3765, decode.d8.loss_mask: 0.5522, decode.d8.loss_dice: 0.8067, loss: 19.4310 2022-09-15 13:32:57,770 - mmseg - INFO - Iter [27750/80000] lr: 9.378e-07, eta: 1 day, 13:46:41, time: 1.851, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3613, decode.loss_mask: 0.5610, decode.loss_dice: 0.8084, decode.d0.loss_cls: 1.9164, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9236, decode.d1.loss_cls: 0.4557, decode.d1.loss_mask: 0.5877, decode.d1.loss_dice: 0.8630, decode.d2.loss_cls: 0.3938, decode.d2.loss_mask: 0.5787, decode.d2.loss_dice: 0.8352, decode.d3.loss_cls: 0.3725, decode.d3.loss_mask: 0.5738, decode.d3.loss_dice: 0.8194, decode.d4.loss_cls: 0.3678, decode.d4.loss_mask: 0.5654, decode.d4.loss_dice: 0.8163, decode.d5.loss_cls: 0.3619, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3641, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.8054, decode.d7.loss_cls: 0.3587, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8107, decode.d8.loss_cls: 0.3586, decode.d8.loss_mask: 0.5556, decode.d8.loss_dice: 0.8099, loss: 19.3167 2022-09-15 13:34:34,335 - mmseg - INFO - Iter [27800/80000] lr: 9.369e-07, eta: 1 day, 13:36:50, time: 1.931, data_time: 0.069, memory: 47124, decode.loss_cls: 0.3852, decode.loss_mask: 0.5330, decode.loss_dice: 0.7984, decode.d0.loss_cls: 1.9972, decode.d0.loss_mask: 0.5589, decode.d0.loss_dice: 0.9123, decode.d1.loss_cls: 0.4701, decode.d1.loss_mask: 0.5623, decode.d1.loss_dice: 0.8562, decode.d2.loss_cls: 0.4292, decode.d2.loss_mask: 0.5497, decode.d2.loss_dice: 0.8282, decode.d3.loss_cls: 0.4115, decode.d3.loss_mask: 0.5383, decode.d3.loss_dice: 0.8084, decode.d4.loss_cls: 0.3965, decode.d4.loss_mask: 0.5359, decode.d4.loss_dice: 0.8086, decode.d5.loss_cls: 0.3919, decode.d5.loss_mask: 0.5374, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3954, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7954, decode.d7.loss_cls: 0.3922, decode.d7.loss_mask: 0.5300, decode.d7.loss_dice: 0.7937, decode.d8.loss_cls: 0.3938, decode.d8.loss_mask: 0.5321, decode.d8.loss_dice: 0.7935, loss: 19.2740 2022-09-15 13:36:07,923 - mmseg - INFO - Iter [27850/80000] lr: 9.360e-07, eta: 1 day, 13:26:31, time: 1.872, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3760, decode.loss_mask: 0.5681, decode.loss_dice: 0.8184, decode.d0.loss_cls: 1.9182, decode.d0.loss_mask: 0.5918, decode.d0.loss_dice: 0.9371, decode.d1.loss_cls: 0.4595, decode.d1.loss_mask: 0.5912, decode.d1.loss_dice: 0.8846, decode.d2.loss_cls: 0.4058, decode.d2.loss_mask: 0.5798, decode.d2.loss_dice: 0.8504, decode.d3.loss_cls: 0.3887, decode.d3.loss_mask: 0.5760, decode.d3.loss_dice: 0.8278, decode.d4.loss_cls: 0.3815, decode.d4.loss_mask: 0.5720, decode.d4.loss_dice: 0.8287, decode.d5.loss_cls: 0.3810, decode.d5.loss_mask: 0.5694, decode.d5.loss_dice: 0.8227, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5684, decode.d6.loss_dice: 0.8196, decode.d7.loss_cls: 0.3830, decode.d7.loss_mask: 0.5671, decode.d7.loss_dice: 0.8232, decode.d8.loss_cls: 0.3763, decode.d8.loss_mask: 0.5676, decode.d8.loss_dice: 0.8199, loss: 19.6328 2022-09-15 13:37:41,400 - mmseg - INFO - Iter [27900/80000] lr: 9.351e-07, eta: 1 day, 13:16:24, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3759, decode.loss_mask: 0.5663, decode.loss_dice: 0.8155, decode.d0.loss_cls: 1.9437, decode.d0.loss_mask: 0.5976, decode.d0.loss_dice: 0.9445, decode.d1.loss_cls: 0.4573, decode.d1.loss_mask: 0.5996, decode.d1.loss_dice: 0.8856, decode.d2.loss_cls: 0.4184, decode.d2.loss_mask: 0.5765, decode.d2.loss_dice: 0.8448, decode.d3.loss_cls: 0.4046, decode.d3.loss_mask: 0.5711, decode.d3.loss_dice: 0.8312, decode.d4.loss_cls: 0.3895, decode.d4.loss_mask: 0.5680, decode.d4.loss_dice: 0.8286, decode.d5.loss_cls: 0.3800, decode.d5.loss_mask: 0.5704, decode.d5.loss_dice: 0.8230, decode.d6.loss_cls: 0.3755, decode.d6.loss_mask: 0.5657, decode.d6.loss_dice: 0.8189, decode.d7.loss_cls: 0.3782, decode.d7.loss_mask: 0.5644, decode.d7.loss_dice: 0.8176, decode.d8.loss_cls: 0.3763, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8134, loss: 19.6664 2022-09-15 13:39:15,261 - mmseg - INFO - Iter [27950/80000] lr: 9.342e-07, eta: 1 day, 13:06:34, time: 1.875, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3572, decode.loss_mask: 0.5617, decode.loss_dice: 0.8152, decode.d0.loss_cls: 1.9352, decode.d0.loss_mask: 0.5899, decode.d0.loss_dice: 0.9283, decode.d1.loss_cls: 0.4457, decode.d1.loss_mask: 0.5906, decode.d1.loss_dice: 0.8793, decode.d2.loss_cls: 0.3939, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8449, decode.d3.loss_cls: 0.3799, decode.d3.loss_mask: 0.5700, decode.d3.loss_dice: 0.8313, decode.d4.loss_cls: 0.3728, decode.d4.loss_mask: 0.5671, decode.d4.loss_dice: 0.8304, decode.d5.loss_cls: 0.3652, decode.d5.loss_mask: 0.5630, decode.d5.loss_dice: 0.8254, decode.d6.loss_cls: 0.3643, decode.d6.loss_mask: 0.5640, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3588, decode.d7.loss_mask: 0.5646, decode.d7.loss_dice: 0.8209, decode.d8.loss_cls: 0.3597, decode.d8.loss_mask: 0.5594, decode.d8.loss_dice: 0.8147, loss: 19.4488 2022-09-15 13:40:49,629 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-09-15 13:41:17,838 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 13:41:17,848 - mmseg - INFO - Iter [28000/80000] lr: 9.333e-07, eta: 1 day, 13:03:11, time: 2.451, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3803, decode.loss_mask: 0.5597, decode.loss_dice: 0.8092, decode.d0.loss_cls: 1.8820, decode.d0.loss_mask: 0.5894, decode.d0.loss_dice: 0.9368, decode.d1.loss_cls: 0.4649, decode.d1.loss_mask: 0.5879, decode.d1.loss_dice: 0.8742, decode.d2.loss_cls: 0.4118, decode.d2.loss_mask: 0.5772, decode.d2.loss_dice: 0.8439, decode.d3.loss_cls: 0.3941, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8311, decode.d4.loss_cls: 0.3862, decode.d4.loss_mask: 0.5653, decode.d4.loss_dice: 0.8222, decode.d5.loss_cls: 0.3786, decode.d5.loss_mask: 0.5632, decode.d5.loss_dice: 0.8185, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5578, decode.d6.loss_dice: 0.8128, decode.d7.loss_cls: 0.3723, decode.d7.loss_mask: 0.5610, decode.d7.loss_dice: 0.8151, decode.d8.loss_cls: 0.3785, decode.d8.loss_mask: 0.5589, decode.d8.loss_dice: 0.8131, loss: 19.4931 2022-09-15 13:42:51,430 - mmseg - INFO - Iter [28050/80000] lr: 9.324e-07, eta: 1 day, 12:53:39, time: 1.873, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3537, decode.loss_mask: 0.5771, decode.loss_dice: 0.7917, decode.d0.loss_cls: 1.8928, decode.d0.loss_mask: 0.6137, decode.d0.loss_dice: 0.9087, decode.d1.loss_cls: 0.4274, decode.d1.loss_mask: 0.6121, decode.d1.loss_dice: 0.8499, decode.d2.loss_cls: 0.3838, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8135, decode.d3.loss_cls: 0.3662, decode.d3.loss_mask: 0.5877, decode.d3.loss_dice: 0.7996, decode.d4.loss_cls: 0.3548, decode.d4.loss_mask: 0.5861, decode.d4.loss_dice: 0.7945, decode.d5.loss_cls: 0.3495, decode.d5.loss_mask: 0.5870, decode.d5.loss_dice: 0.7968, decode.d6.loss_cls: 0.3580, decode.d6.loss_mask: 0.5783, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.3553, decode.d7.loss_mask: 0.5768, decode.d7.loss_dice: 0.7851, decode.d8.loss_cls: 0.3524, decode.d8.loss_mask: 0.5786, decode.d8.loss_dice: 0.7872, loss: 19.1944 2022-09-15 13:44:26,050 - mmseg - INFO - Iter [28100/80000] lr: 9.315e-07, eta: 1 day, 12:44:32, time: 1.894, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3681, decode.loss_mask: 0.5322, decode.loss_dice: 0.7865, decode.d0.loss_cls: 1.9410, decode.d0.loss_mask: 0.5614, decode.d0.loss_dice: 0.9019, decode.d1.loss_cls: 0.4541, decode.d1.loss_mask: 0.5639, decode.d1.loss_dice: 0.8554, decode.d2.loss_cls: 0.4056, decode.d2.loss_mask: 0.5467, decode.d2.loss_dice: 0.8181, decode.d3.loss_cls: 0.3785, decode.d3.loss_mask: 0.5453, decode.d3.loss_dice: 0.8002, decode.d4.loss_cls: 0.3781, decode.d4.loss_mask: 0.5364, decode.d4.loss_dice: 0.7986, decode.d5.loss_cls: 0.3705, decode.d5.loss_mask: 0.5341, decode.d5.loss_dice: 0.7995, decode.d6.loss_cls: 0.3652, decode.d6.loss_mask: 0.5321, decode.d6.loss_dice: 0.7897, decode.d7.loss_cls: 0.3652, decode.d7.loss_mask: 0.5300, decode.d7.loss_dice: 0.7853, decode.d8.loss_cls: 0.3629, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.7858, loss: 18.9218 2022-09-15 13:46:00,762 - mmseg - INFO - Iter [28150/80000] lr: 9.306e-07, eta: 1 day, 12:35:35, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3667, decode.loss_mask: 0.5496, decode.loss_dice: 0.7982, decode.d0.loss_cls: 1.9288, decode.d0.loss_mask: 0.5775, decode.d0.loss_dice: 0.9094, decode.d1.loss_cls: 0.4609, decode.d1.loss_mask: 0.5713, decode.d1.loss_dice: 0.8499, decode.d2.loss_cls: 0.4077, decode.d2.loss_mask: 0.5568, decode.d2.loss_dice: 0.8218, decode.d3.loss_cls: 0.3869, decode.d3.loss_mask: 0.5582, decode.d3.loss_dice: 0.8045, decode.d4.loss_cls: 0.3766, decode.d4.loss_mask: 0.5539, decode.d4.loss_dice: 0.8054, decode.d5.loss_cls: 0.3710, decode.d5.loss_mask: 0.5470, decode.d5.loss_dice: 0.7996, decode.d6.loss_cls: 0.3677, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.7943, decode.d7.loss_cls: 0.3672, decode.d7.loss_mask: 0.5480, decode.d7.loss_dice: 0.7952, decode.d8.loss_cls: 0.3648, decode.d8.loss_mask: 0.5492, decode.d8.loss_dice: 0.7919, loss: 19.1240 2022-09-15 13:47:35,383 - mmseg - INFO - Iter [28200/80000] lr: 9.297e-07, eta: 1 day, 12:26:47, time: 1.890, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3745, decode.loss_mask: 0.5252, decode.loss_dice: 0.8013, decode.d0.loss_cls: 1.9523, decode.d0.loss_mask: 0.5590, decode.d0.loss_dice: 0.9245, decode.d1.loss_cls: 0.4667, decode.d1.loss_mask: 0.5530, decode.d1.loss_dice: 0.8627, decode.d2.loss_cls: 0.4154, decode.d2.loss_mask: 0.5460, decode.d2.loss_dice: 0.8321, decode.d3.loss_cls: 0.4024, decode.d3.loss_mask: 0.5336, decode.d3.loss_dice: 0.8109, decode.d4.loss_cls: 0.3931, decode.d4.loss_mask: 0.5348, decode.d4.loss_dice: 0.8151, decode.d5.loss_cls: 0.3809, decode.d5.loss_mask: 0.5306, decode.d5.loss_dice: 0.8093, decode.d6.loss_cls: 0.3857, decode.d6.loss_mask: 0.5275, decode.d6.loss_dice: 0.8003, decode.d7.loss_cls: 0.3764, decode.d7.loss_mask: 0.5279, decode.d7.loss_dice: 0.8020, decode.d8.loss_cls: 0.3785, decode.d8.loss_mask: 0.5278, decode.d8.loss_dice: 0.7999, loss: 19.1493 2022-09-15 13:49:10,446 - mmseg - INFO - Iter [28250/80000] lr: 9.288e-07, eta: 1 day, 12:18:17, time: 1.904, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3630, decode.loss_mask: 0.5685, decode.loss_dice: 0.7943, decode.d0.loss_cls: 1.9693, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.9052, decode.d1.loss_cls: 0.4589, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.8589, decode.d2.loss_cls: 0.4035, decode.d2.loss_mask: 0.5792, decode.d2.loss_dice: 0.8282, decode.d3.loss_cls: 0.3853, decode.d3.loss_mask: 0.5749, decode.d3.loss_dice: 0.8104, decode.d4.loss_cls: 0.3777, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8086, decode.d5.loss_cls: 0.3720, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3691, decode.d6.loss_mask: 0.5656, decode.d6.loss_dice: 0.7947, decode.d7.loss_cls: 0.3698, decode.d7.loss_mask: 0.5662, decode.d7.loss_dice: 0.7998, decode.d8.loss_cls: 0.3641, decode.d8.loss_mask: 0.5649, decode.d8.loss_dice: 0.7959, loss: 19.3607 2022-09-15 13:50:44,993 - mmseg - INFO - Iter [28300/80000] lr: 9.279e-07, eta: 1 day, 12:09:48, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3579, decode.loss_mask: 0.5415, decode.loss_dice: 0.7891, decode.d0.loss_cls: 1.9040, decode.d0.loss_mask: 0.5690, decode.d0.loss_dice: 0.9029, decode.d1.loss_cls: 0.4484, decode.d1.loss_mask: 0.5595, decode.d1.loss_dice: 0.8554, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5511, decode.d2.loss_dice: 0.8145, decode.d3.loss_cls: 0.3806, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.8047, decode.d4.loss_cls: 0.3688, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.8011, decode.d5.loss_cls: 0.3630, decode.d5.loss_mask: 0.5439, decode.d5.loss_dice: 0.7997, decode.d6.loss_cls: 0.3598, decode.d6.loss_mask: 0.5401, decode.d6.loss_dice: 0.7888, decode.d7.loss_cls: 0.3571, decode.d7.loss_mask: 0.5417, decode.d7.loss_dice: 0.7909, decode.d8.loss_cls: 0.3570, decode.d8.loss_mask: 0.5412, decode.d8.loss_dice: 0.7910, loss: 18.8930 2022-09-15 13:52:19,653 - mmseg - INFO - Iter [28350/80000] lr: 9.270e-07, eta: 1 day, 12:01:33, time: 1.896, data_time: 0.022, memory: 47124, decode.loss_cls: 0.3834, decode.loss_mask: 0.5395, decode.loss_dice: 0.7887, decode.d0.loss_cls: 1.9133, decode.d0.loss_mask: 0.5663, decode.d0.loss_dice: 0.9080, decode.d1.loss_cls: 0.4737, decode.d1.loss_mask: 0.5646, decode.d1.loss_dice: 0.8476, decode.d2.loss_cls: 0.4129, decode.d2.loss_mask: 0.5540, decode.d2.loss_dice: 0.8235, decode.d3.loss_cls: 0.4052, decode.d3.loss_mask: 0.5476, decode.d3.loss_dice: 0.8059, decode.d4.loss_cls: 0.3926, decode.d4.loss_mask: 0.5459, decode.d4.loss_dice: 0.8047, decode.d5.loss_cls: 0.3856, decode.d5.loss_mask: 0.5414, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3863, decode.d6.loss_mask: 0.5410, decode.d6.loss_dice: 0.7924, decode.d7.loss_cls: 0.3869, decode.d7.loss_mask: 0.5406, decode.d7.loss_dice: 0.7931, decode.d8.loss_cls: 0.3837, decode.d8.loss_mask: 0.5411, decode.d8.loss_dice: 0.7921, loss: 19.1635 2022-09-15 13:53:53,336 - mmseg - INFO - Iter [28400/80000] lr: 9.261e-07, eta: 1 day, 11:53:13, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3815, decode.loss_mask: 0.5480, decode.loss_dice: 0.8028, decode.d0.loss_cls: 1.9467, decode.d0.loss_mask: 0.5788, decode.d0.loss_dice: 0.9255, decode.d1.loss_cls: 0.4761, decode.d1.loss_mask: 0.5774, decode.d1.loss_dice: 0.8670, decode.d2.loss_cls: 0.4184, decode.d2.loss_mask: 0.5616, decode.d2.loss_dice: 0.8357, decode.d3.loss_cls: 0.4048, decode.d3.loss_mask: 0.5544, decode.d3.loss_dice: 0.8191, decode.d4.loss_cls: 0.3922, decode.d4.loss_mask: 0.5512, decode.d4.loss_dice: 0.8104, decode.d5.loss_cls: 0.3855, decode.d5.loss_mask: 0.5494, decode.d5.loss_dice: 0.8073, decode.d6.loss_cls: 0.3820, decode.d6.loss_mask: 0.5468, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.3870, decode.d7.loss_mask: 0.5435, decode.d7.loss_dice: 0.7993, decode.d8.loss_cls: 0.3753, decode.d8.loss_mask: 0.5487, decode.d8.loss_dice: 0.8048, loss: 19.3801 2022-09-15 13:55:28,982 - mmseg - INFO - Iter [28450/80000] lr: 9.252e-07, eta: 1 day, 11:45:26, time: 1.914, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3639, decode.loss_mask: 0.5473, decode.loss_dice: 0.7824, decode.d0.loss_cls: 1.8937, decode.d0.loss_mask: 0.5807, decode.d0.loss_dice: 0.9057, decode.d1.loss_cls: 0.4445, decode.d1.loss_mask: 0.5762, decode.d1.loss_dice: 0.8543, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5673, decode.d2.loss_dice: 0.8253, decode.d3.loss_cls: 0.3718, decode.d3.loss_mask: 0.5607, decode.d3.loss_dice: 0.8057, decode.d4.loss_cls: 0.3660, decode.d4.loss_mask: 0.5541, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3605, decode.d5.loss_mask: 0.5525, decode.d5.loss_dice: 0.7969, decode.d6.loss_cls: 0.3618, decode.d6.loss_mask: 0.5463, decode.d6.loss_dice: 0.7856, decode.d7.loss_cls: 0.3603, decode.d7.loss_mask: 0.5443, decode.d7.loss_dice: 0.7850, decode.d8.loss_cls: 0.3633, decode.d8.loss_mask: 0.5483, decode.d8.loss_dice: 0.7827, loss: 18.9722 2022-09-15 13:57:05,432 - mmseg - INFO - Iter [28500/80000] lr: 9.243e-07, eta: 1 day, 11:37:56, time: 1.928, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3629, decode.loss_mask: 0.5482, decode.loss_dice: 0.8103, decode.d0.loss_cls: 1.8911, decode.d0.loss_mask: 0.5793, decode.d0.loss_dice: 0.9356, decode.d1.loss_cls: 0.4598, decode.d1.loss_mask: 0.5797, decode.d1.loss_dice: 0.8696, decode.d2.loss_cls: 0.4054, decode.d2.loss_mask: 0.5640, decode.d2.loss_dice: 0.8481, decode.d3.loss_cls: 0.3820, decode.d3.loss_mask: 0.5608, decode.d3.loss_dice: 0.8267, decode.d4.loss_cls: 0.3779, decode.d4.loss_mask: 0.5551, decode.d4.loss_dice: 0.8229, decode.d5.loss_cls: 0.3733, decode.d5.loss_mask: 0.5515, decode.d5.loss_dice: 0.8204, decode.d6.loss_cls: 0.3679, decode.d6.loss_mask: 0.5518, decode.d6.loss_dice: 0.8086, decode.d7.loss_cls: 0.3635, decode.d7.loss_mask: 0.5491, decode.d7.loss_dice: 0.8089, decode.d8.loss_cls: 0.3609, decode.d8.loss_mask: 0.5532, decode.d8.loss_dice: 0.8123, loss: 19.3009 2022-09-15 13:58:40,311 - mmseg - INFO - Iter [28550/80000] lr: 9.234e-07, eta: 1 day, 11:30:17, time: 1.898, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3371, decode.loss_mask: 0.5712, decode.loss_dice: 0.8051, decode.d0.loss_cls: 1.8837, decode.d0.loss_mask: 0.5899, decode.d0.loss_dice: 0.9144, decode.d1.loss_cls: 0.4231, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.8593, decode.d2.loss_cls: 0.3697, decode.d2.loss_mask: 0.5837, decode.d2.loss_dice: 0.8328, decode.d3.loss_cls: 0.3465, decode.d3.loss_mask: 0.5812, decode.d3.loss_dice: 0.8169, decode.d4.loss_cls: 0.3441, decode.d4.loss_mask: 0.5760, decode.d4.loss_dice: 0.8106, decode.d5.loss_cls: 0.3342, decode.d5.loss_mask: 0.5767, decode.d5.loss_dice: 0.8109, decode.d6.loss_cls: 0.3346, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8029, decode.d7.loss_cls: 0.3368, decode.d7.loss_mask: 0.5738, decode.d7.loss_dice: 0.8044, decode.d8.loss_cls: 0.3376, decode.d8.loss_mask: 0.5684, decode.d8.loss_dice: 0.8059, loss: 19.1003 2022-09-15 14:00:15,155 - mmseg - INFO - Iter [28600/80000] lr: 9.225e-07, eta: 1 day, 11:22:44, time: 1.897, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3663, decode.loss_mask: 0.5541, decode.loss_dice: 0.8121, decode.d0.loss_cls: 1.9303, decode.d0.loss_mask: 0.5802, decode.d0.loss_dice: 0.9224, decode.d1.loss_cls: 0.4375, decode.d1.loss_mask: 0.5810, decode.d1.loss_dice: 0.8726, decode.d2.loss_cls: 0.3959, decode.d2.loss_mask: 0.5670, decode.d2.loss_dice: 0.8402, decode.d3.loss_cls: 0.3829, decode.d3.loss_mask: 0.5615, decode.d3.loss_dice: 0.8257, decode.d4.loss_cls: 0.3759, decode.d4.loss_mask: 0.5592, decode.d4.loss_dice: 0.8222, decode.d5.loss_cls: 0.3674, decode.d5.loss_mask: 0.5568, decode.d5.loss_dice: 0.8195, decode.d6.loss_cls: 0.3623, decode.d6.loss_mask: 0.5533, decode.d6.loss_dice: 0.8099, decode.d7.loss_cls: 0.3608, decode.d7.loss_mask: 0.5587, decode.d7.loss_dice: 0.8123, decode.d8.loss_cls: 0.3584, decode.d8.loss_mask: 0.5553, decode.d8.loss_dice: 0.8143, loss: 19.3161 2022-09-15 14:01:49,053 - mmseg - INFO - Iter [28650/80000] lr: 9.216e-07, eta: 1 day, 11:15:09, time: 1.878, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3830, decode.loss_mask: 0.5542, decode.loss_dice: 0.8113, decode.d0.loss_cls: 1.9072, decode.d0.loss_mask: 0.5832, decode.d0.loss_dice: 0.9371, decode.d1.loss_cls: 0.4546, decode.d1.loss_mask: 0.5789, decode.d1.loss_dice: 0.8810, decode.d2.loss_cls: 0.4078, decode.d2.loss_mask: 0.5686, decode.d2.loss_dice: 0.8447, decode.d3.loss_cls: 0.4009, decode.d3.loss_mask: 0.5601, decode.d3.loss_dice: 0.8241, decode.d4.loss_cls: 0.3874, decode.d4.loss_mask: 0.5583, decode.d4.loss_dice: 0.8265, decode.d5.loss_cls: 0.3872, decode.d5.loss_mask: 0.5547, decode.d5.loss_dice: 0.8141, decode.d6.loss_cls: 0.3783, decode.d6.loss_mask: 0.5518, decode.d6.loss_dice: 0.8101, decode.d7.loss_cls: 0.3763, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.8167, decode.d8.loss_cls: 0.3786, decode.d8.loss_mask: 0.5531, decode.d8.loss_dice: 0.8125, loss: 19.4539 2022-09-15 14:03:23,609 - mmseg - INFO - Iter [28700/80000] lr: 9.207e-07, eta: 1 day, 11:07:49, time: 1.891, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3691, decode.loss_mask: 0.5552, decode.loss_dice: 0.7778, decode.d0.loss_cls: 1.9229, decode.d0.loss_mask: 0.5888, decode.d0.loss_dice: 0.8998, decode.d1.loss_cls: 0.4576, decode.d1.loss_mask: 0.5815, decode.d1.loss_dice: 0.8458, decode.d2.loss_cls: 0.4018, decode.d2.loss_mask: 0.5680, decode.d2.loss_dice: 0.8019, decode.d3.loss_cls: 0.3815, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.7920, decode.d4.loss_cls: 0.3769, decode.d4.loss_mask: 0.5579, decode.d4.loss_dice: 0.7863, decode.d5.loss_cls: 0.3760, decode.d5.loss_mask: 0.5580, decode.d5.loss_dice: 0.7892, decode.d6.loss_cls: 0.3704, decode.d6.loss_mask: 0.5582, decode.d6.loss_dice: 0.7783, decode.d7.loss_cls: 0.3713, decode.d7.loss_mask: 0.5560, decode.d7.loss_dice: 0.7833, decode.d8.loss_cls: 0.3685, decode.d8.loss_mask: 0.5567, decode.d8.loss_dice: 0.7796, loss: 19.0723 2022-09-15 14:04:58,292 - mmseg - INFO - Iter [28750/80000] lr: 9.198e-07, eta: 1 day, 11:00:37, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3689, decode.loss_mask: 0.5560, decode.loss_dice: 0.7868, decode.d0.loss_cls: 1.9377, decode.d0.loss_mask: 0.5871, decode.d0.loss_dice: 0.9039, decode.d1.loss_cls: 0.4542, decode.d1.loss_mask: 0.5916, decode.d1.loss_dice: 0.8468, decode.d2.loss_cls: 0.4080, decode.d2.loss_mask: 0.5683, decode.d2.loss_dice: 0.8166, decode.d3.loss_cls: 0.3907, decode.d3.loss_mask: 0.5646, decode.d3.loss_dice: 0.8003, decode.d4.loss_cls: 0.3866, decode.d4.loss_mask: 0.5582, decode.d4.loss_dice: 0.7932, decode.d5.loss_cls: 0.3762, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3754, decode.d6.loss_mask: 0.5538, decode.d6.loss_dice: 0.7876, decode.d7.loss_cls: 0.3662, decode.d7.loss_mask: 0.5571, decode.d7.loss_dice: 0.7931, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5533, decode.d8.loss_dice: 0.7841, loss: 19.1856 2022-09-15 14:06:32,390 - mmseg - INFO - Iter [28800/80000] lr: 9.189e-07, eta: 1 day, 10:53:26, time: 1.882, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3989, decode.loss_mask: 0.5618, decode.loss_dice: 0.8306, decode.d0.loss_cls: 1.9395, decode.d0.loss_mask: 0.5896, decode.d0.loss_dice: 0.9527, decode.d1.loss_cls: 0.4761, decode.d1.loss_mask: 0.5896, decode.d1.loss_dice: 0.9010, decode.d2.loss_cls: 0.4286, decode.d2.loss_mask: 0.5759, decode.d2.loss_dice: 0.8625, decode.d3.loss_cls: 0.4162, decode.d3.loss_mask: 0.5674, decode.d3.loss_dice: 0.8484, decode.d4.loss_cls: 0.4053, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8416, decode.d5.loss_cls: 0.4003, decode.d5.loss_mask: 0.5613, decode.d5.loss_dice: 0.8386, decode.d6.loss_cls: 0.4047, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.8304, decode.d7.loss_cls: 0.4018, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8347, decode.d8.loss_cls: 0.4001, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.8354, loss: 19.9368 2022-09-15 14:08:06,606 - mmseg - INFO - Iter [28850/80000] lr: 9.180e-07, eta: 1 day, 10:46:24, time: 1.884, data_time: 0.022, memory: 47124, decode.loss_cls: 0.3670, decode.loss_mask: 0.5490, decode.loss_dice: 0.7844, decode.d0.loss_cls: 1.8817, decode.d0.loss_mask: 0.5802, decode.d0.loss_dice: 0.8943, decode.d1.loss_cls: 0.4483, decode.d1.loss_mask: 0.5751, decode.d1.loss_dice: 0.8508, decode.d2.loss_cls: 0.3959, decode.d2.loss_mask: 0.5638, decode.d2.loss_dice: 0.8200, decode.d3.loss_cls: 0.3797, decode.d3.loss_mask: 0.5586, decode.d3.loss_dice: 0.7994, decode.d4.loss_cls: 0.3713, decode.d4.loss_mask: 0.5573, decode.d4.loss_dice: 0.8005, decode.d5.loss_cls: 0.3658, decode.d5.loss_mask: 0.5556, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3646, decode.d6.loss_mask: 0.5511, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3666, decode.d7.loss_mask: 0.5514, decode.d7.loss_dice: 0.7858, decode.d8.loss_cls: 0.3637, decode.d8.loss_mask: 0.5508, decode.d8.loss_dice: 0.7881, loss: 19.0022 2022-09-15 14:09:42,008 - mmseg - INFO - Iter [28900/80000] lr: 9.171e-07, eta: 1 day, 10:39:40, time: 1.909, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3610, decode.loss_mask: 0.5745, decode.loss_dice: 0.8127, decode.d0.loss_cls: 1.9259, decode.d0.loss_mask: 0.5945, decode.d0.loss_dice: 0.9364, decode.d1.loss_cls: 0.4482, decode.d1.loss_mask: 0.6005, decode.d1.loss_dice: 0.8840, decode.d2.loss_cls: 0.3970, decode.d2.loss_mask: 0.5895, decode.d2.loss_dice: 0.8427, decode.d3.loss_cls: 0.3900, decode.d3.loss_mask: 0.5815, decode.d3.loss_dice: 0.8246, decode.d4.loss_cls: 0.3777, decode.d4.loss_mask: 0.5816, decode.d4.loss_dice: 0.8272, decode.d5.loss_cls: 0.3690, decode.d5.loss_mask: 0.5772, decode.d5.loss_dice: 0.8207, decode.d6.loss_cls: 0.3641, decode.d6.loss_mask: 0.5754, decode.d6.loss_dice: 0.8131, decode.d7.loss_cls: 0.3624, decode.d7.loss_mask: 0.5740, decode.d7.loss_dice: 0.8152, decode.d8.loss_cls: 0.3641, decode.d8.loss_mask: 0.5739, decode.d8.loss_dice: 0.8135, loss: 19.5721 2022-09-15 14:11:16,586 - mmseg - INFO - Iter [28950/80000] lr: 9.162e-07, eta: 1 day, 10:32:54, time: 1.891, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3881, decode.loss_mask: 0.5284, decode.loss_dice: 0.8082, decode.d0.loss_cls: 1.9184, decode.d0.loss_mask: 0.5604, decode.d0.loss_dice: 0.9441, decode.d1.loss_cls: 0.4828, decode.d1.loss_mask: 0.5559, decode.d1.loss_dice: 0.8783, decode.d2.loss_cls: 0.4304, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8507, decode.d3.loss_cls: 0.4051, decode.d3.loss_mask: 0.5344, decode.d3.loss_dice: 0.8313, decode.d4.loss_cls: 0.3963, decode.d4.loss_mask: 0.5338, decode.d4.loss_dice: 0.8247, decode.d5.loss_cls: 0.3926, decode.d5.loss_mask: 0.5302, decode.d5.loss_dice: 0.8189, decode.d6.loss_cls: 0.3941, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.8114, decode.d7.loss_cls: 0.3853, decode.d7.loss_mask: 0.5286, decode.d7.loss_dice: 0.8105, decode.d8.loss_cls: 0.3911, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.8090, loss: 19.3356 2022-09-15 14:12:50,884 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-09-15 14:13:23,395 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 14:13:23,404 - mmseg - INFO - Iter [29000/80000] lr: 9.153e-07, eta: 1 day, 10:31:42, time: 2.534, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3730, decode.loss_mask: 0.5387, decode.loss_dice: 0.7947, decode.d0.loss_cls: 1.9371, decode.d0.loss_mask: 0.5725, decode.d0.loss_dice: 0.9168, decode.d1.loss_cls: 0.4484, decode.d1.loss_mask: 0.5660, decode.d1.loss_dice: 0.8538, decode.d2.loss_cls: 0.4028, decode.d2.loss_mask: 0.5553, decode.d2.loss_dice: 0.8229, decode.d3.loss_cls: 0.3851, decode.d3.loss_mask: 0.5487, decode.d3.loss_dice: 0.8135, decode.d4.loss_cls: 0.3801, decode.d4.loss_mask: 0.5456, decode.d4.loss_dice: 0.8094, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5437, decode.d5.loss_dice: 0.8035, decode.d6.loss_cls: 0.3685, decode.d6.loss_mask: 0.5418, decode.d6.loss_dice: 0.7946, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5414, decode.d7.loss_dice: 0.7941, decode.d8.loss_cls: 0.3682, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.7990, loss: 19.1012 2022-09-15 14:15:00,467 - mmseg - INFO - Iter [29050/80000] lr: 9.144e-07, eta: 1 day, 10:25:31, time: 1.943, data_time: 0.023, memory: 47124, decode.loss_cls: 0.3783, decode.loss_mask: 0.5599, decode.loss_dice: 0.8179, decode.d0.loss_cls: 1.9021, decode.d0.loss_mask: 0.5869, decode.d0.loss_dice: 0.9408, decode.d1.loss_cls: 0.4626, decode.d1.loss_mask: 0.5911, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.4194, decode.d2.loss_mask: 0.5773, decode.d2.loss_dice: 0.8504, decode.d3.loss_cls: 0.4051, decode.d3.loss_mask: 0.5633, decode.d3.loss_dice: 0.8375, decode.d4.loss_cls: 0.3971, decode.d4.loss_mask: 0.5633, decode.d4.loss_dice: 0.8349, decode.d5.loss_cls: 0.3956, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.8219, decode.d6.loss_cls: 0.3835, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.8221, decode.d7.loss_cls: 0.3820, decode.d7.loss_mask: 0.5604, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3808, decode.d8.loss_mask: 0.5585, decode.d8.loss_dice: 0.8218, loss: 19.6318 2022-09-15 14:16:37,696 - mmseg - INFO - Iter [29100/80000] lr: 9.135e-07, eta: 1 day, 10:19:27, time: 1.946, data_time: 0.066, memory: 47124, decode.loss_cls: 0.3549, decode.loss_mask: 0.5472, decode.loss_dice: 0.7895, decode.d0.loss_cls: 1.9276, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4401, decode.d1.loss_mask: 0.5788, decode.d1.loss_dice: 0.8617, decode.d2.loss_cls: 0.3916, decode.d2.loss_mask: 0.5665, decode.d2.loss_dice: 0.8259, decode.d3.loss_cls: 0.3793, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8040, decode.d4.loss_cls: 0.3687, decode.d4.loss_mask: 0.5579, decode.d4.loss_dice: 0.8020, decode.d5.loss_cls: 0.3634, decode.d5.loss_mask: 0.5513, decode.d5.loss_dice: 0.8012, decode.d6.loss_cls: 0.3604, decode.d6.loss_mask: 0.5508, decode.d6.loss_dice: 0.7927, decode.d7.loss_cls: 0.3520, decode.d7.loss_mask: 0.5509, decode.d7.loss_dice: 0.7936, decode.d8.loss_cls: 0.3497, decode.d8.loss_mask: 0.5485, decode.d8.loss_dice: 0.7944, loss: 19.0642 2022-09-15 14:18:12,412 - mmseg - INFO - Iter [29150/80000] lr: 9.126e-07, eta: 1 day, 10:13:01, time: 1.892, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3558, decode.loss_mask: 0.5339, decode.loss_dice: 0.7857, decode.d0.loss_cls: 1.9416, decode.d0.loss_mask: 0.5619, decode.d0.loss_dice: 0.9045, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5627, decode.d1.loss_dice: 0.8546, decode.d2.loss_cls: 0.3850, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.8215, decode.d3.loss_cls: 0.3802, decode.d3.loss_mask: 0.5441, decode.d3.loss_dice: 0.8007, decode.d4.loss_cls: 0.3687, decode.d4.loss_mask: 0.5371, decode.d4.loss_dice: 0.8031, decode.d5.loss_cls: 0.3632, decode.d5.loss_mask: 0.5351, decode.d5.loss_dice: 0.8000, decode.d6.loss_cls: 0.3638, decode.d6.loss_mask: 0.5293, decode.d6.loss_dice: 0.7924, decode.d7.loss_cls: 0.3594, decode.d7.loss_mask: 0.5321, decode.d7.loss_dice: 0.7912, decode.d8.loss_cls: 0.3536, decode.d8.loss_mask: 0.5338, decode.d8.loss_dice: 0.7917, loss: 18.8822 2022-09-15 14:19:45,421 - mmseg - INFO - Iter [29200/80000] lr: 9.117e-07, eta: 1 day, 10:06:26, time: 1.862, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3624, decode.loss_mask: 0.5643, decode.loss_dice: 0.8021, decode.d0.loss_cls: 1.8546, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9241, decode.d1.loss_cls: 0.4542, decode.d1.loss_mask: 0.5930, decode.d1.loss_dice: 0.8613, decode.d2.loss_cls: 0.3999, decode.d2.loss_mask: 0.5743, decode.d2.loss_dice: 0.8253, decode.d3.loss_cls: 0.3841, decode.d3.loss_mask: 0.5718, decode.d3.loss_dice: 0.8137, decode.d4.loss_cls: 0.3755, decode.d4.loss_mask: 0.5689, decode.d4.loss_dice: 0.8077, decode.d5.loss_cls: 0.3667, decode.d5.loss_mask: 0.5674, decode.d5.loss_dice: 0.8118, decode.d6.loss_cls: 0.3651, decode.d6.loss_mask: 0.5652, decode.d6.loss_dice: 0.8008, decode.d7.loss_cls: 0.3623, decode.d7.loss_mask: 0.5614, decode.d7.loss_dice: 0.8005, decode.d8.loss_cls: 0.3610, decode.d8.loss_mask: 0.5634, decode.d8.loss_dice: 0.8057, loss: 19.2719 2022-09-15 14:21:20,364 - mmseg - INFO - Iter [29250/80000] lr: 9.109e-07, eta: 1 day, 10:00:15, time: 1.899, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3559, decode.loss_mask: 0.5482, decode.loss_dice: 0.8045, decode.d0.loss_cls: 1.8893, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.9335, decode.d1.loss_cls: 0.4395, decode.d1.loss_mask: 0.5756, decode.d1.loss_dice: 0.8655, decode.d2.loss_cls: 0.3936, decode.d2.loss_mask: 0.5614, decode.d2.loss_dice: 0.8393, decode.d3.loss_cls: 0.3801, decode.d3.loss_mask: 0.5560, decode.d3.loss_dice: 0.8191, decode.d4.loss_cls: 0.3700, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8136, decode.d5.loss_cls: 0.3603, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.8133, decode.d6.loss_cls: 0.3602, decode.d6.loss_mask: 0.5491, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3548, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.8091, decode.d8.loss_cls: 0.3546, decode.d8.loss_mask: 0.5492, decode.d8.loss_dice: 0.8064, loss: 19.1406 2022-09-15 14:22:54,154 - mmseg - INFO - Iter [29300/80000] lr: 9.100e-07, eta: 1 day, 9:53:58, time: 1.876, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3473, decode.loss_mask: 0.5576, decode.loss_dice: 0.8075, decode.d0.loss_cls: 1.9012, decode.d0.loss_mask: 0.5859, decode.d0.loss_dice: 0.9215, decode.d1.loss_cls: 0.4428, decode.d1.loss_mask: 0.5850, decode.d1.loss_dice: 0.8676, decode.d2.loss_cls: 0.3893, decode.d2.loss_mask: 0.5691, decode.d2.loss_dice: 0.8387, decode.d3.loss_cls: 0.3697, decode.d3.loss_mask: 0.5644, decode.d3.loss_dice: 0.8173, decode.d4.loss_cls: 0.3597, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.8162, decode.d5.loss_cls: 0.3491, decode.d5.loss_mask: 0.5596, decode.d5.loss_dice: 0.8086, decode.d6.loss_cls: 0.3531, decode.d6.loss_mask: 0.5548, decode.d6.loss_dice: 0.7999, decode.d7.loss_cls: 0.3527, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.8025, decode.d8.loss_cls: 0.3485, decode.d8.loss_mask: 0.5540, decode.d8.loss_dice: 0.8068, loss: 19.1424 2022-09-15 14:24:30,033 - mmseg - INFO - Iter [29350/80000] lr: 9.091e-07, eta: 1 day, 9:48:06, time: 1.918, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3572, decode.loss_mask: 0.5359, decode.loss_dice: 0.8015, decode.d0.loss_cls: 1.8943, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.9044, decode.d1.loss_cls: 0.4500, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8492, decode.d2.loss_cls: 0.3945, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.8257, decode.d3.loss_cls: 0.3777, decode.d3.loss_mask: 0.5397, decode.d3.loss_dice: 0.8157, decode.d4.loss_cls: 0.3731, decode.d4.loss_mask: 0.5374, decode.d4.loss_dice: 0.8055, decode.d5.loss_cls: 0.3676, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.8044, decode.d6.loss_cls: 0.3620, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.8021, decode.d7.loss_cls: 0.3580, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.8006, decode.d8.loss_cls: 0.3582, decode.d8.loss_mask: 0.5371, decode.d8.loss_dice: 0.8014, loss: 18.9403 2022-09-15 14:26:03,795 - mmseg - INFO - Iter [29400/80000] lr: 9.082e-07, eta: 1 day, 9:41:59, time: 1.875, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3604, decode.loss_mask: 0.5400, decode.loss_dice: 0.7803, decode.d0.loss_cls: 1.9137, decode.d0.loss_mask: 0.5805, decode.d0.loss_dice: 0.8969, decode.d1.loss_cls: 0.4546, decode.d1.loss_mask: 0.5716, decode.d1.loss_dice: 0.8422, decode.d2.loss_cls: 0.3949, decode.d2.loss_mask: 0.5533, decode.d2.loss_dice: 0.8047, decode.d3.loss_cls: 0.3819, decode.d3.loss_mask: 0.5439, decode.d3.loss_dice: 0.7900, decode.d4.loss_cls: 0.3733, decode.d4.loss_mask: 0.5453, decode.d4.loss_dice: 0.7833, decode.d5.loss_cls: 0.3664, decode.d5.loss_mask: 0.5421, decode.d5.loss_dice: 0.7813, decode.d6.loss_cls: 0.3644, decode.d6.loss_mask: 0.5397, decode.d6.loss_dice: 0.7764, decode.d7.loss_cls: 0.3591, decode.d7.loss_mask: 0.5405, decode.d7.loss_dice: 0.7768, decode.d8.loss_cls: 0.3613, decode.d8.loss_mask: 0.5402, decode.d8.loss_dice: 0.7728, loss: 18.8315 2022-09-15 14:27:39,428 - mmseg - INFO - Iter [29450/80000] lr: 9.073e-07, eta: 1 day, 9:36:14, time: 1.913, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3624, decode.loss_mask: 0.5523, decode.loss_dice: 0.8253, decode.d0.loss_cls: 1.8934, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.9395, decode.d1.loss_cls: 0.4442, decode.d1.loss_mask: 0.5785, decode.d1.loss_dice: 0.8888, decode.d2.loss_cls: 0.3895, decode.d2.loss_mask: 0.5653, decode.d2.loss_dice: 0.8620, decode.d3.loss_cls: 0.3750, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8452, decode.d4.loss_cls: 0.3652, decode.d4.loss_mask: 0.5584, decode.d4.loss_dice: 0.8433, decode.d5.loss_cls: 0.3619, decode.d5.loss_mask: 0.5538, decode.d5.loss_dice: 0.8344, decode.d6.loss_cls: 0.3627, decode.d6.loss_mask: 0.5499, decode.d6.loss_dice: 0.8243, decode.d7.loss_cls: 0.3566, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.8343, decode.d8.loss_cls: 0.3590, decode.d8.loss_mask: 0.5526, decode.d8.loss_dice: 0.8282, loss: 19.3996 2022-09-15 14:29:14,243 - mmseg - INFO - Iter [29500/80000] lr: 9.064e-07, eta: 1 day, 9:30:26, time: 1.896, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3701, decode.loss_mask: 0.5524, decode.loss_dice: 0.7979, decode.d0.loss_cls: 1.9211, decode.d0.loss_mask: 0.5818, decode.d0.loss_dice: 0.9227, decode.d1.loss_cls: 0.4628, decode.d1.loss_mask: 0.5783, decode.d1.loss_dice: 0.8563, decode.d2.loss_cls: 0.4131, decode.d2.loss_mask: 0.5588, decode.d2.loss_dice: 0.8269, decode.d3.loss_cls: 0.3959, decode.d3.loss_mask: 0.5554, decode.d3.loss_dice: 0.8076, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5533, decode.d4.loss_dice: 0.8099, decode.d5.loss_cls: 0.3779, decode.d5.loss_mask: 0.5532, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5492, decode.d6.loss_dice: 0.7982, decode.d7.loss_cls: 0.3693, decode.d7.loss_mask: 0.5493, decode.d7.loss_dice: 0.7982, decode.d8.loss_cls: 0.3690, decode.d8.loss_mask: 0.5506, decode.d8.loss_dice: 0.7996, loss: 19.2439 2022-09-15 14:30:48,279 - mmseg - INFO - Iter [29550/80000] lr: 9.055e-07, eta: 1 day, 9:24:36, time: 1.881, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3461, decode.loss_mask: 0.5171, decode.loss_dice: 0.7772, decode.d0.loss_cls: 1.9559, decode.d0.loss_mask: 0.5447, decode.d0.loss_dice: 0.9073, decode.d1.loss_cls: 0.4465, decode.d1.loss_mask: 0.5444, decode.d1.loss_dice: 0.8498, decode.d2.loss_cls: 0.3921, decode.d2.loss_mask: 0.5322, decode.d2.loss_dice: 0.8071, decode.d3.loss_cls: 0.3688, decode.d3.loss_mask: 0.5250, decode.d3.loss_dice: 0.7964, decode.d4.loss_cls: 0.3661, decode.d4.loss_mask: 0.5199, decode.d4.loss_dice: 0.7920, decode.d5.loss_cls: 0.3512, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3578, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.3478, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.3490, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7848, loss: 18.5937 2022-09-15 14:32:23,446 - mmseg - INFO - Iter [29600/80000] lr: 9.046e-07, eta: 1 day, 9:19:01, time: 1.903, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3445, decode.loss_mask: 0.5379, decode.loss_dice: 0.7819, decode.d0.loss_cls: 1.8485, decode.d0.loss_mask: 0.5691, decode.d0.loss_dice: 0.8951, decode.d1.loss_cls: 0.4260, decode.d1.loss_mask: 0.5653, decode.d1.loss_dice: 0.8440, decode.d2.loss_cls: 0.3786, decode.d2.loss_mask: 0.5513, decode.d2.loss_dice: 0.8177, decode.d3.loss_cls: 0.3642, decode.d3.loss_mask: 0.5462, decode.d3.loss_dice: 0.7964, decode.d4.loss_cls: 0.3587, decode.d4.loss_mask: 0.5459, decode.d4.loss_dice: 0.7912, decode.d5.loss_cls: 0.3516, decode.d5.loss_mask: 0.5416, decode.d5.loss_dice: 0.7849, decode.d6.loss_cls: 0.3469, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.7800, decode.d7.loss_cls: 0.3439, decode.d7.loss_mask: 0.5402, decode.d7.loss_dice: 0.7826, decode.d8.loss_cls: 0.3447, decode.d8.loss_mask: 0.5416, decode.d8.loss_dice: 0.7825, loss: 18.6418 2022-09-15 14:33:57,303 - mmseg - INFO - Iter [29650/80000] lr: 9.037e-07, eta: 1 day, 9:13:18, time: 1.877, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3525, decode.loss_mask: 0.5600, decode.loss_dice: 0.8030, decode.d0.loss_cls: 1.8960, decode.d0.loss_mask: 0.5853, decode.d0.loss_dice: 0.9069, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5861, decode.d1.loss_dice: 0.8581, decode.d2.loss_cls: 0.3939, decode.d2.loss_mask: 0.5692, decode.d2.loss_dice: 0.8367, decode.d3.loss_cls: 0.3743, decode.d3.loss_mask: 0.5665, decode.d3.loss_dice: 0.8227, decode.d4.loss_cls: 0.3697, decode.d4.loss_mask: 0.5630, decode.d4.loss_dice: 0.8226, decode.d5.loss_cls: 0.3564, decode.d5.loss_mask: 0.5612, decode.d5.loss_dice: 0.8165, decode.d6.loss_cls: 0.3544, decode.d6.loss_mask: 0.5592, decode.d6.loss_dice: 0.8074, decode.d7.loss_cls: 0.3488, decode.d7.loss_mask: 0.5583, decode.d7.loss_dice: 0.8125, decode.d8.loss_cls: 0.3521, decode.d8.loss_mask: 0.5580, decode.d8.loss_dice: 0.8069, loss: 19.2010 2022-09-15 14:35:31,405 - mmseg - INFO - Iter [29700/80000] lr: 9.028e-07, eta: 1 day, 9:07:41, time: 1.882, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3634, decode.loss_mask: 0.5449, decode.loss_dice: 0.7836, decode.d0.loss_cls: 1.8773, decode.d0.loss_mask: 0.5771, decode.d0.loss_dice: 0.9066, decode.d1.loss_cls: 0.4449, decode.d1.loss_mask: 0.5778, decode.d1.loss_dice: 0.8501, decode.d2.loss_cls: 0.3932, decode.d2.loss_mask: 0.5623, decode.d2.loss_dice: 0.8211, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5551, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3720, decode.d4.loss_mask: 0.5518, decode.d4.loss_dice: 0.7959, decode.d5.loss_cls: 0.3648, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.7963, decode.d6.loss_cls: 0.3652, decode.d6.loss_mask: 0.5463, decode.d6.loss_dice: 0.7852, decode.d7.loss_cls: 0.3595, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.7897, decode.d8.loss_cls: 0.3635, decode.d8.loss_mask: 0.5465, decode.d8.loss_dice: 0.7861, loss: 18.9518 2022-09-15 14:37:05,466 - mmseg - INFO - Iter [29750/80000] lr: 9.019e-07, eta: 1 day, 9:02:09, time: 1.881, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3604, decode.loss_mask: 0.5646, decode.loss_dice: 0.7826, decode.d0.loss_cls: 1.8944, decode.d0.loss_mask: 0.6056, decode.d0.loss_dice: 0.9117, decode.d1.loss_cls: 0.4407, decode.d1.loss_mask: 0.6010, decode.d1.loss_dice: 0.8589, decode.d2.loss_cls: 0.3926, decode.d2.loss_mask: 0.5850, decode.d2.loss_dice: 0.8225, decode.d3.loss_cls: 0.3851, decode.d3.loss_mask: 0.5754, decode.d3.loss_dice: 0.8009, decode.d4.loss_cls: 0.3727, decode.d4.loss_mask: 0.5702, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3628, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.7931, decode.d6.loss_cls: 0.3669, decode.d6.loss_mask: 0.5637, decode.d6.loss_dice: 0.7861, decode.d7.loss_cls: 0.3613, decode.d7.loss_mask: 0.5651, decode.d7.loss_dice: 0.7906, decode.d8.loss_cls: 0.3654, decode.d8.loss_mask: 0.5648, decode.d8.loss_dice: 0.7909, loss: 19.2016 2022-09-15 14:38:38,764 - mmseg - INFO - Iter [29800/80000] lr: 9.010e-07, eta: 1 day, 8:56:34, time: 1.866, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3732, decode.loss_mask: 0.5345, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.9289, decode.d0.loss_mask: 0.5651, decode.d0.loss_dice: 0.9187, decode.d1.loss_cls: 0.4524, decode.d1.loss_mask: 0.5658, decode.d1.loss_dice: 0.8593, decode.d2.loss_cls: 0.3957, decode.d2.loss_mask: 0.5535, decode.d2.loss_dice: 0.8209, decode.d3.loss_cls: 0.3880, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3799, decode.d4.loss_mask: 0.5388, decode.d4.loss_dice: 0.8043, decode.d5.loss_cls: 0.3767, decode.d5.loss_mask: 0.5386, decode.d5.loss_dice: 0.7995, decode.d6.loss_cls: 0.3738, decode.d6.loss_mask: 0.5360, decode.d6.loss_dice: 0.7973, decode.d7.loss_cls: 0.3709, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7980, decode.d8.loss_cls: 0.3648, decode.d8.loss_mask: 0.5394, decode.d8.loss_dice: 0.8021, loss: 19.0537 2022-09-15 14:40:13,045 - mmseg - INFO - Iter [29850/80000] lr: 9.001e-07, eta: 1 day, 8:51:11, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3544, decode.loss_mask: 0.5606, decode.loss_dice: 0.8110, decode.d0.loss_cls: 1.8508, decode.d0.loss_mask: 0.5950, decode.d0.loss_dice: 0.9347, decode.d1.loss_cls: 0.4244, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.8856, decode.d2.loss_cls: 0.3856, decode.d2.loss_mask: 0.5747, decode.d2.loss_dice: 0.8415, decode.d3.loss_cls: 0.3733, decode.d3.loss_mask: 0.5689, decode.d3.loss_dice: 0.8316, decode.d4.loss_cls: 0.3614, decode.d4.loss_mask: 0.5660, decode.d4.loss_dice: 0.8208, decode.d5.loss_cls: 0.3508, decode.d5.loss_mask: 0.5635, decode.d5.loss_dice: 0.8210, decode.d6.loss_cls: 0.3480, decode.d6.loss_mask: 0.5630, decode.d6.loss_dice: 0.8152, decode.d7.loss_cls: 0.3458, decode.d7.loss_mask: 0.5622, decode.d7.loss_dice: 0.8117, decode.d8.loss_cls: 0.3476, decode.d8.loss_mask: 0.5619, decode.d8.loss_dice: 0.8125, loss: 19.2332 2022-09-15 14:41:47,316 - mmseg - INFO - Iter [29900/80000] lr: 8.992e-07, eta: 1 day, 8:45:53, time: 1.886, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3814, decode.loss_mask: 0.5451, decode.loss_dice: 0.7949, decode.d0.loss_cls: 1.9093, decode.d0.loss_mask: 0.5736, decode.d0.loss_dice: 0.9096, decode.d1.loss_cls: 0.4679, decode.d1.loss_mask: 0.5674, decode.d1.loss_dice: 0.8556, decode.d2.loss_cls: 0.4123, decode.d2.loss_mask: 0.5573, decode.d2.loss_dice: 0.8312, decode.d3.loss_cls: 0.3961, decode.d3.loss_mask: 0.5530, decode.d3.loss_dice: 0.8058, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8065, decode.d5.loss_cls: 0.3857, decode.d5.loss_mask: 0.5459, decode.d5.loss_dice: 0.8018, decode.d6.loss_cls: 0.3858, decode.d6.loss_mask: 0.5452, decode.d6.loss_dice: 0.7915, decode.d7.loss_cls: 0.3829, decode.d7.loss_mask: 0.5472, decode.d7.loss_dice: 0.7936, decode.d8.loss_cls: 0.3824, decode.d8.loss_mask: 0.5477, decode.d8.loss_dice: 0.7949, loss: 19.2053 2022-09-15 14:43:23,015 - mmseg - INFO - Iter [29950/80000] lr: 8.983e-07, eta: 1 day, 8:40:50, time: 1.914, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3678, decode.loss_mask: 0.5716, decode.loss_dice: 0.7927, decode.d0.loss_cls: 1.8666, decode.d0.loss_mask: 0.6025, decode.d0.loss_dice: 0.9096, decode.d1.loss_cls: 0.4386, decode.d1.loss_mask: 0.6019, decode.d1.loss_dice: 0.8605, decode.d2.loss_cls: 0.4002, decode.d2.loss_mask: 0.5858, decode.d2.loss_dice: 0.8371, decode.d3.loss_cls: 0.3856, decode.d3.loss_mask: 0.5792, decode.d3.loss_dice: 0.8116, decode.d4.loss_cls: 0.3762, decode.d4.loss_mask: 0.5788, decode.d4.loss_dice: 0.8105, decode.d5.loss_cls: 0.3692, decode.d5.loss_mask: 0.5749, decode.d5.loss_dice: 0.8000, decode.d6.loss_cls: 0.3684, decode.d6.loss_mask: 0.5711, decode.d6.loss_dice: 0.7939, decode.d7.loss_cls: 0.3632, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.7983, decode.d8.loss_cls: 0.3674, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.7974, loss: 19.3247 2022-09-15 14:44:58,368 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-09-15 14:45:28,958 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 14:45:28,961 - mmseg - INFO - Iter [30000/80000] lr: 8.974e-07, eta: 1 day, 8:40:01, time: 2.515, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3574, decode.loss_mask: 0.5718, decode.loss_dice: 0.8010, decode.d0.loss_cls: 1.8708, decode.d0.loss_mask: 0.6003, decode.d0.loss_dice: 0.9085, decode.d1.loss_cls: 0.4375, decode.d1.loss_mask: 0.6001, decode.d1.loss_dice: 0.8607, decode.d2.loss_cls: 0.3920, decode.d2.loss_mask: 0.5859, decode.d2.loss_dice: 0.8281, decode.d3.loss_cls: 0.3729, decode.d3.loss_mask: 0.5769, decode.d3.loss_dice: 0.8177, decode.d4.loss_cls: 0.3652, decode.d4.loss_mask: 0.5778, decode.d4.loss_dice: 0.8156, decode.d5.loss_cls: 0.3559, decode.d5.loss_mask: 0.5726, decode.d5.loss_dice: 0.8114, decode.d6.loss_cls: 0.3562, decode.d6.loss_mask: 0.5712, decode.d6.loss_dice: 0.7940, decode.d7.loss_cls: 0.3615, decode.d7.loss_mask: 0.5709, decode.d7.loss_dice: 0.8051, decode.d8.loss_cls: 0.3572, decode.d8.loss_mask: 0.5726, decode.d8.loss_dice: 0.7974, loss: 19.2660 2022-09-15 14:47:03,402 - mmseg - INFO - Iter [30050/80000] lr: 8.965e-07, eta: 1 day, 8:34:53, time: 1.893, data_time: 0.025, memory: 47124, decode.loss_cls: 0.3695, decode.loss_mask: 0.5511, decode.loss_dice: 0.8151, decode.d0.loss_cls: 1.8794, decode.d0.loss_mask: 0.5805, decode.d0.loss_dice: 0.9375, decode.d1.loss_cls: 0.4656, decode.d1.loss_mask: 0.5755, decode.d1.loss_dice: 0.8828, decode.d2.loss_cls: 0.4029, decode.d2.loss_mask: 0.5699, decode.d2.loss_dice: 0.8506, decode.d3.loss_cls: 0.3909, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8304, decode.d4.loss_cls: 0.3831, decode.d4.loss_mask: 0.5544, decode.d4.loss_dice: 0.8244, decode.d5.loss_cls: 0.3773, decode.d5.loss_mask: 0.5548, decode.d5.loss_dice: 0.8231, decode.d6.loss_cls: 0.3786, decode.d6.loss_mask: 0.5474, decode.d6.loss_dice: 0.8138, decode.d7.loss_cls: 0.3726, decode.d7.loss_mask: 0.5477, decode.d7.loss_dice: 0.8204, decode.d8.loss_cls: 0.3699, decode.d8.loss_mask: 0.5488, decode.d8.loss_dice: 0.8180, loss: 19.3927 2022-09-15 14:48:37,267 - mmseg - INFO - Iter [30100/80000] lr: 8.956e-07, eta: 1 day, 8:29:43, time: 1.878, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3646, decode.loss_mask: 0.5535, decode.loss_dice: 0.8027, decode.d0.loss_cls: 1.9103, decode.d0.loss_mask: 0.5876, decode.d0.loss_dice: 0.9248, decode.d1.loss_cls: 0.4607, decode.d1.loss_mask: 0.5812, decode.d1.loss_dice: 0.8655, decode.d2.loss_cls: 0.3973, decode.d2.loss_mask: 0.5685, decode.d2.loss_dice: 0.8308, decode.d3.loss_cls: 0.3834, decode.d3.loss_mask: 0.5644, decode.d3.loss_dice: 0.8135, decode.d4.loss_cls: 0.3736, decode.d4.loss_mask: 0.5587, decode.d4.loss_dice: 0.8088, decode.d5.loss_cls: 0.3713, decode.d5.loss_mask: 0.5571, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3704, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.7986, decode.d7.loss_cls: 0.3692, decode.d7.loss_mask: 0.5542, decode.d7.loss_dice: 0.8036, decode.d8.loss_cls: 0.3622, decode.d8.loss_mask: 0.5549, decode.d8.loss_dice: 0.8024, loss: 19.2543 2022-09-15 14:50:11,175 - mmseg - INFO - Iter [30150/80000] lr: 8.947e-07, eta: 1 day, 8:24:37, time: 1.878, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3546, decode.loss_mask: 0.5430, decode.loss_dice: 0.8035, decode.d0.loss_cls: 1.8668, decode.d0.loss_mask: 0.5626, decode.d0.loss_dice: 0.9125, decode.d1.loss_cls: 0.4415, decode.d1.loss_mask: 0.5721, decode.d1.loss_dice: 0.8715, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5555, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.3687, decode.d3.loss_mask: 0.5527, decode.d3.loss_dice: 0.8192, decode.d4.loss_cls: 0.3609, decode.d4.loss_mask: 0.5472, decode.d4.loss_dice: 0.8207, decode.d5.loss_cls: 0.3573, decode.d5.loss_mask: 0.5473, decode.d5.loss_dice: 0.8116, decode.d6.loss_cls: 0.3553, decode.d6.loss_mask: 0.5454, decode.d6.loss_dice: 0.8016, decode.d7.loss_cls: 0.3558, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.8014, decode.d8.loss_cls: 0.3492, decode.d8.loss_mask: 0.5435, decode.d8.loss_dice: 0.8062, loss: 18.9942 2022-09-15 14:51:47,963 - mmseg - INFO - Iter [30200/80000] lr: 8.938e-07, eta: 1 day, 8:19:58, time: 1.936, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3746, decode.loss_mask: 0.5586, decode.loss_dice: 0.8143, decode.d0.loss_cls: 1.9191, decode.d0.loss_mask: 0.5823, decode.d0.loss_dice: 0.9183, decode.d1.loss_cls: 0.4576, decode.d1.loss_mask: 0.5820, decode.d1.loss_dice: 0.8674, decode.d2.loss_cls: 0.4046, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8390, decode.d3.loss_cls: 0.3905, decode.d3.loss_mask: 0.5633, decode.d3.loss_dice: 0.8246, decode.d4.loss_cls: 0.3876, decode.d4.loss_mask: 0.5632, decode.d4.loss_dice: 0.8213, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5648, decode.d5.loss_dice: 0.8212, decode.d6.loss_cls: 0.3776, decode.d6.loss_mask: 0.5604, decode.d6.loss_dice: 0.8121, decode.d7.loss_cls: 0.3698, decode.d7.loss_mask: 0.5615, decode.d7.loss_dice: 0.8148, decode.d8.loss_cls: 0.3748, decode.d8.loss_mask: 0.5565, decode.d8.loss_dice: 0.8091, loss: 19.4402 2022-09-15 14:53:23,801 - mmseg - INFO - Iter [30250/80000] lr: 8.929e-07, eta: 1 day, 8:15:12, time: 1.914, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3384, decode.loss_mask: 0.5503, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.8863, decode.d0.loss_mask: 0.5837, decode.d0.loss_dice: 0.8940, decode.d1.loss_cls: 0.4312, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3738, decode.d2.loss_mask: 0.5549, decode.d2.loss_dice: 0.8038, decode.d3.loss_cls: 0.3608, decode.d3.loss_mask: 0.5515, decode.d3.loss_dice: 0.7895, decode.d4.loss_cls: 0.3531, decode.d4.loss_mask: 0.5486, decode.d4.loss_dice: 0.7853, decode.d5.loss_cls: 0.3472, decode.d5.loss_mask: 0.5517, decode.d5.loss_dice: 0.7891, decode.d6.loss_cls: 0.3454, decode.d6.loss_mask: 0.5516, decode.d6.loss_dice: 0.7745, decode.d7.loss_cls: 0.3383, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.7857, decode.d8.loss_cls: 0.3436, decode.d8.loss_mask: 0.5503, decode.d8.loss_dice: 0.7834, loss: 18.6984 2022-09-15 14:54:58,229 - mmseg - INFO - Iter [30300/80000] lr: 8.920e-07, eta: 1 day, 8:10:21, time: 1.891, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3600, decode.loss_mask: 0.5544, decode.loss_dice: 0.7841, decode.d0.loss_cls: 1.8569, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8973, decode.d1.loss_cls: 0.4303, decode.d1.loss_mask: 0.5747, decode.d1.loss_dice: 0.8409, decode.d2.loss_cls: 0.3885, decode.d2.loss_mask: 0.5631, decode.d2.loss_dice: 0.8144, decode.d3.loss_cls: 0.3776, decode.d3.loss_mask: 0.5554, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3737, decode.d4.loss_mask: 0.5494, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.5510, decode.d5.loss_dice: 0.7927, decode.d6.loss_cls: 0.3599, decode.d6.loss_mask: 0.5491, decode.d6.loss_dice: 0.7835, decode.d7.loss_cls: 0.3602, decode.d7.loss_mask: 0.5515, decode.d7.loss_dice: 0.7889, decode.d8.loss_cls: 0.3563, decode.d8.loss_mask: 0.5514, decode.d8.loss_dice: 0.7866, loss: 18.8838 2022-09-15 14:56:34,893 - mmseg - INFO - Iter [30350/80000] lr: 8.911e-07, eta: 1 day, 8:05:49, time: 1.933, data_time: 0.066, memory: 47124, decode.loss_cls: 0.3546, decode.loss_mask: 0.5419, decode.loss_dice: 0.7840, decode.d0.loss_cls: 1.9184, decode.d0.loss_mask: 0.5828, decode.d0.loss_dice: 0.9077, decode.d1.loss_cls: 0.4420, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8585, decode.d2.loss_cls: 0.3893, decode.d2.loss_mask: 0.5605, decode.d2.loss_dice: 0.8264, decode.d3.loss_cls: 0.3762, decode.d3.loss_mask: 0.5523, decode.d3.loss_dice: 0.8053, decode.d4.loss_cls: 0.3645, decode.d4.loss_mask: 0.5517, decode.d4.loss_dice: 0.8001, decode.d5.loss_cls: 0.3584, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.7991, decode.d6.loss_cls: 0.3529, decode.d6.loss_mask: 0.5442, decode.d6.loss_dice: 0.7926, decode.d7.loss_cls: 0.3584, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.7889, decode.d8.loss_cls: 0.3564, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.7854, loss: 18.9558 2022-09-15 14:58:10,378 - mmseg - INFO - Iter [30400/80000] lr: 8.902e-07, eta: 1 day, 8:01:11, time: 1.910, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3521, decode.loss_mask: 0.5231, decode.loss_dice: 0.7826, decode.d0.loss_cls: 1.9318, decode.d0.loss_mask: 0.5514, decode.d0.loss_dice: 0.8953, decode.d1.loss_cls: 0.4481, decode.d1.loss_mask: 0.5497, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3905, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8131, decode.d3.loss_cls: 0.3765, decode.d3.loss_mask: 0.5336, decode.d3.loss_dice: 0.7928, decode.d4.loss_cls: 0.3702, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.7938, decode.d5.loss_cls: 0.3561, decode.d5.loss_mask: 0.5297, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3563, decode.d6.loss_mask: 0.5248, decode.d6.loss_dice: 0.7840, decode.d7.loss_cls: 0.3540, decode.d7.loss_mask: 0.5249, decode.d7.loss_dice: 0.7847, decode.d8.loss_cls: 0.3534, decode.d8.loss_mask: 0.5234, decode.d8.loss_dice: 0.7808, loss: 18.6764 2022-09-15 14:59:44,744 - mmseg - INFO - Iter [30450/80000] lr: 8.893e-07, eta: 1 day, 7:56:27, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3509, decode.loss_mask: 0.5279, decode.loss_dice: 0.7905, decode.d0.loss_cls: 1.9226, decode.d0.loss_mask: 0.5521, decode.d0.loss_dice: 0.9006, decode.d1.loss_cls: 0.4441, decode.d1.loss_mask: 0.5518, decode.d1.loss_dice: 0.8480, decode.d2.loss_cls: 0.3937, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.8172, decode.d3.loss_cls: 0.3753, decode.d3.loss_mask: 0.5338, decode.d3.loss_dice: 0.7984, decode.d4.loss_cls: 0.3647, decode.d4.loss_mask: 0.5298, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.3612, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.7827, decode.d6.loss_cls: 0.3583, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.7856, decode.d7.loss_cls: 0.3522, decode.d7.loss_mask: 0.5279, decode.d7.loss_dice: 0.7917, decode.d8.loss_cls: 0.3545, decode.d8.loss_mask: 0.5272, decode.d8.loss_dice: 0.7823, loss: 18.7127 2022-09-15 15:01:19,816 - mmseg - INFO - Iter [30500/80000] lr: 8.884e-07, eta: 1 day, 7:51:52, time: 1.901, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3518, decode.loss_mask: 0.5487, decode.loss_dice: 0.7960, decode.d0.loss_cls: 1.8365, decode.d0.loss_mask: 0.5773, decode.d0.loss_dice: 0.9079, decode.d1.loss_cls: 0.4379, decode.d1.loss_mask: 0.5714, decode.d1.loss_dice: 0.8584, decode.d2.loss_cls: 0.3876, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8286, decode.d3.loss_cls: 0.3733, decode.d3.loss_mask: 0.5573, decode.d3.loss_dice: 0.8115, decode.d4.loss_cls: 0.3631, decode.d4.loss_mask: 0.5508, decode.d4.loss_dice: 0.8104, decode.d5.loss_cls: 0.3589, decode.d5.loss_mask: 0.5510, decode.d5.loss_dice: 0.8040, decode.d6.loss_cls: 0.3516, decode.d6.loss_mask: 0.5493, decode.d6.loss_dice: 0.7992, decode.d7.loss_cls: 0.3502, decode.d7.loss_mask: 0.5507, decode.d7.loss_dice: 0.7997, decode.d8.loss_cls: 0.3517, decode.d8.loss_mask: 0.5480, decode.d8.loss_dice: 0.7990, loss: 18.9431 2022-09-15 15:02:53,655 - mmseg - INFO - Iter [30550/80000] lr: 8.875e-07, eta: 1 day, 7:47:09, time: 1.877, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3621, decode.loss_mask: 0.5530, decode.loss_dice: 0.7907, decode.d0.loss_cls: 1.8969, decode.d0.loss_mask: 0.5905, decode.d0.loss_dice: 0.9071, decode.d1.loss_cls: 0.4543, decode.d1.loss_mask: 0.5789, decode.d1.loss_dice: 0.8502, decode.d2.loss_cls: 0.3959, decode.d2.loss_mask: 0.5677, decode.d2.loss_dice: 0.8182, decode.d3.loss_cls: 0.3794, decode.d3.loss_mask: 0.5602, decode.d3.loss_dice: 0.8114, decode.d4.loss_cls: 0.3735, decode.d4.loss_mask: 0.5555, decode.d4.loss_dice: 0.8022, decode.d5.loss_cls: 0.3639, decode.d5.loss_mask: 0.5521, decode.d5.loss_dice: 0.8006, decode.d6.loss_cls: 0.3644, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.7904, decode.d7.loss_cls: 0.3684, decode.d7.loss_mask: 0.5521, decode.d7.loss_dice: 0.7853, decode.d8.loss_cls: 0.3641, decode.d8.loss_mask: 0.5525, decode.d8.loss_dice: 0.7863, loss: 19.0814 2022-09-15 15:04:28,974 - mmseg - INFO - Iter [30600/80000] lr: 8.866e-07, eta: 1 day, 7:42:41, time: 1.906, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3250, decode.loss_mask: 0.5563, decode.loss_dice: 0.7812, decode.d0.loss_cls: 1.8123, decode.d0.loss_mask: 0.5812, decode.d0.loss_dice: 0.8819, decode.d1.loss_cls: 0.4084, decode.d1.loss_mask: 0.5803, decode.d1.loss_dice: 0.8364, decode.d2.loss_cls: 0.3594, decode.d2.loss_mask: 0.5656, decode.d2.loss_dice: 0.8081, decode.d3.loss_cls: 0.3461, decode.d3.loss_mask: 0.5614, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3347, decode.d4.loss_mask: 0.5585, decode.d4.loss_dice: 0.7863, decode.d5.loss_cls: 0.3276, decode.d5.loss_mask: 0.5586, decode.d5.loss_dice: 0.7854, decode.d6.loss_cls: 0.3297, decode.d6.loss_mask: 0.5553, decode.d6.loss_dice: 0.7871, decode.d7.loss_cls: 0.3259, decode.d7.loss_mask: 0.5549, decode.d7.loss_dice: 0.7795, decode.d8.loss_cls: 0.3263, decode.d8.loss_mask: 0.5551, decode.d8.loss_dice: 0.7806, loss: 18.5423 2022-09-15 15:06:04,334 - mmseg - INFO - Iter [30650/80000] lr: 8.857e-07, eta: 1 day, 7:38:16, time: 1.908, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3602, decode.loss_mask: 0.5578, decode.loss_dice: 0.8025, decode.d0.loss_cls: 1.8791, decode.d0.loss_mask: 0.5789, decode.d0.loss_dice: 0.9005, decode.d1.loss_cls: 0.4310, decode.d1.loss_mask: 0.5821, decode.d1.loss_dice: 0.8489, decode.d2.loss_cls: 0.3819, decode.d2.loss_mask: 0.5728, decode.d2.loss_dice: 0.8223, decode.d3.loss_cls: 0.3767, decode.d3.loss_mask: 0.5628, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3600, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.8090, decode.d5.loss_cls: 0.3595, decode.d5.loss_mask: 0.5567, decode.d5.loss_dice: 0.8025, decode.d6.loss_cls: 0.3650, decode.d6.loss_mask: 0.5527, decode.d6.loss_dice: 0.8029, decode.d7.loss_cls: 0.3573, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8068, decode.d8.loss_cls: 0.3594, decode.d8.loss_mask: 0.5598, decode.d8.loss_dice: 0.8027, loss: 19.0838 2022-09-15 15:07:40,137 - mmseg - INFO - Iter [30700/80000] lr: 8.848e-07, eta: 1 day, 7:33:56, time: 1.916, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3402, decode.loss_mask: 0.5590, decode.loss_dice: 0.8075, decode.d0.loss_cls: 1.8386, decode.d0.loss_mask: 0.5923, decode.d0.loss_dice: 0.9258, decode.d1.loss_cls: 0.4245, decode.d1.loss_mask: 0.5839, decode.d1.loss_dice: 0.8698, decode.d2.loss_cls: 0.3695, decode.d2.loss_mask: 0.5717, decode.d2.loss_dice: 0.8443, decode.d3.loss_cls: 0.3596, decode.d3.loss_mask: 0.5650, decode.d3.loss_dice: 0.8276, decode.d4.loss_cls: 0.3531, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.8185, decode.d5.loss_cls: 0.3436, decode.d5.loss_mask: 0.5620, decode.d5.loss_dice: 0.8192, decode.d6.loss_cls: 0.3358, decode.d6.loss_mask: 0.5600, decode.d6.loss_dice: 0.8161, decode.d7.loss_cls: 0.3410, decode.d7.loss_mask: 0.5615, decode.d7.loss_dice: 0.8143, decode.d8.loss_cls: 0.3359, decode.d8.loss_mask: 0.5593, decode.d8.loss_dice: 0.8123, loss: 19.0722 2022-09-15 15:09:15,386 - mmseg - INFO - Iter [30750/80000] lr: 8.839e-07, eta: 1 day, 7:29:34, time: 1.901, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3494, decode.loss_mask: 0.5641, decode.loss_dice: 0.8094, decode.d0.loss_cls: 1.8814, decode.d0.loss_mask: 0.5859, decode.d0.loss_dice: 0.9155, decode.d1.loss_cls: 0.4291, decode.d1.loss_mask: 0.5845, decode.d1.loss_dice: 0.8639, decode.d2.loss_cls: 0.3811, decode.d2.loss_mask: 0.5742, decode.d2.loss_dice: 0.8362, decode.d3.loss_cls: 0.3660, decode.d3.loss_mask: 0.5671, decode.d3.loss_dice: 0.8192, decode.d4.loss_cls: 0.3590, decode.d4.loss_mask: 0.5680, decode.d4.loss_dice: 0.8174, decode.d5.loss_cls: 0.3513, decode.d5.loss_mask: 0.5629, decode.d5.loss_dice: 0.8070, decode.d6.loss_cls: 0.3477, decode.d6.loss_mask: 0.5650, decode.d6.loss_dice: 0.8106, decode.d7.loss_cls: 0.3428, decode.d7.loss_mask: 0.5668, decode.d7.loss_dice: 0.8120, decode.d8.loss_cls: 0.3436, decode.d8.loss_mask: 0.5669, decode.d8.loss_dice: 0.8150, loss: 19.1630 2022-09-15 15:10:50,375 - mmseg - INFO - Iter [30800/80000] lr: 8.830e-07, eta: 1 day, 7:25:15, time: 1.904, data_time: 0.022, memory: 47124, decode.loss_cls: 0.3408, decode.loss_mask: 0.5287, decode.loss_dice: 0.7777, decode.d0.loss_cls: 1.9047, decode.d0.loss_mask: 0.5528, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4297, decode.d1.loss_mask: 0.5495, decode.d1.loss_dice: 0.8302, decode.d2.loss_cls: 0.3772, decode.d2.loss_mask: 0.5385, decode.d2.loss_dice: 0.8040, decode.d3.loss_cls: 0.3636, decode.d3.loss_mask: 0.5321, decode.d3.loss_dice: 0.7823, decode.d4.loss_cls: 0.3520, decode.d4.loss_mask: 0.5326, decode.d4.loss_dice: 0.7856, decode.d5.loss_cls: 0.3468, decode.d5.loss_mask: 0.5325, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.3461, decode.d6.loss_mask: 0.5290, decode.d6.loss_dice: 0.7789, decode.d7.loss_cls: 0.3376, decode.d7.loss_mask: 0.5301, decode.d7.loss_dice: 0.7784, decode.d8.loss_cls: 0.3329, decode.d8.loss_mask: 0.5296, decode.d8.loss_dice: 0.7827, loss: 18.4815 2022-09-15 15:12:24,629 - mmseg - INFO - Iter [30850/80000] lr: 8.821e-07, eta: 1 day, 7:20:51, time: 1.885, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3440, decode.loss_mask: 0.5358, decode.loss_dice: 0.7992, decode.d0.loss_cls: 1.8592, decode.d0.loss_mask: 0.5699, decode.d0.loss_dice: 0.9143, decode.d1.loss_cls: 0.4269, decode.d1.loss_mask: 0.5597, decode.d1.loss_dice: 0.8600, decode.d2.loss_cls: 0.3804, decode.d2.loss_mask: 0.5466, decode.d2.loss_dice: 0.8217, decode.d3.loss_cls: 0.3626, decode.d3.loss_mask: 0.5408, decode.d3.loss_dice: 0.8123, decode.d4.loss_cls: 0.3552, decode.d4.loss_mask: 0.5419, decode.d4.loss_dice: 0.8069, decode.d5.loss_cls: 0.3487, decode.d5.loss_mask: 0.5386, decode.d5.loss_dice: 0.8026, decode.d6.loss_cls: 0.3419, decode.d6.loss_mask: 0.5371, decode.d6.loss_dice: 0.7993, decode.d7.loss_cls: 0.3390, decode.d7.loss_mask: 0.5407, decode.d7.loss_dice: 0.8010, decode.d8.loss_cls: 0.3381, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.8022, loss: 18.7653 2022-09-15 15:13:59,342 - mmseg - INFO - Iter [30900/80000] lr: 8.812e-07, eta: 1 day, 7:16:33, time: 1.894, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3683, decode.loss_mask: 0.5508, decode.loss_dice: 0.7858, decode.d0.loss_cls: 1.9251, decode.d0.loss_mask: 0.5804, decode.d0.loss_dice: 0.9159, decode.d1.loss_cls: 0.4564, decode.d1.loss_mask: 0.5791, decode.d1.loss_dice: 0.8545, decode.d2.loss_cls: 0.4078, decode.d2.loss_mask: 0.5669, decode.d2.loss_dice: 0.8205, decode.d3.loss_cls: 0.3895, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8004, decode.d4.loss_cls: 0.3830, decode.d4.loss_mask: 0.5546, decode.d4.loss_dice: 0.8018, decode.d5.loss_cls: 0.3751, decode.d5.loss_mask: 0.5506, decode.d5.loss_dice: 0.7962, decode.d6.loss_cls: 0.3709, decode.d6.loss_mask: 0.5508, decode.d6.loss_dice: 0.7882, decode.d7.loss_cls: 0.3727, decode.d7.loss_mask: 0.5483, decode.d7.loss_dice: 0.7867, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5497, decode.d8.loss_dice: 0.7888, loss: 19.1445 2022-09-15 15:15:32,756 - mmseg - INFO - Iter [30950/80000] lr: 8.803e-07, eta: 1 day, 7:12:09, time: 1.868, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3613, decode.loss_mask: 0.5432, decode.loss_dice: 0.7850, decode.d0.loss_cls: 1.8751, decode.d0.loss_mask: 0.5790, decode.d0.loss_dice: 0.8925, decode.d1.loss_cls: 0.4380, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8468, decode.d2.loss_cls: 0.3940, decode.d2.loss_mask: 0.5591, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.3777, decode.d3.loss_mask: 0.5524, decode.d3.loss_dice: 0.7963, decode.d4.loss_cls: 0.3689, decode.d4.loss_mask: 0.5459, decode.d4.loss_dice: 0.7955, decode.d5.loss_cls: 0.3677, decode.d5.loss_mask: 0.5456, decode.d5.loss_dice: 0.7927, decode.d6.loss_cls: 0.3621, decode.d6.loss_mask: 0.5444, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3548, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7877, decode.d8.loss_cls: 0.3608, decode.d8.loss_mask: 0.5440, decode.d8.loss_dice: 0.7870, loss: 18.8792 2022-09-15 15:17:07,168 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-09-15 15:17:36,632 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 15:17:36,641 - mmseg - INFO - Iter [31000/80000] lr: 8.794e-07, eta: 1 day, 7:11:19, time: 2.475, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3731, decode.loss_mask: 0.5425, decode.loss_dice: 0.7913, decode.d0.loss_cls: 1.8856, decode.d0.loss_mask: 0.5650, decode.d0.loss_dice: 0.9064, decode.d1.loss_cls: 0.4590, decode.d1.loss_mask: 0.5738, decode.d1.loss_dice: 0.8583, decode.d2.loss_cls: 0.4106, decode.d2.loss_mask: 0.5562, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3876, decode.d3.loss_mask: 0.5531, decode.d3.loss_dice: 0.8073, decode.d4.loss_cls: 0.3857, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.8019, decode.d5.loss_cls: 0.3780, decode.d5.loss_mask: 0.5452, decode.d5.loss_dice: 0.8013, decode.d6.loss_cls: 0.3729, decode.d6.loss_mask: 0.5446, decode.d6.loss_dice: 0.7925, decode.d7.loss_cls: 0.3703, decode.d7.loss_mask: 0.5467, decode.d7.loss_dice: 0.7936, decode.d8.loss_cls: 0.3683, decode.d8.loss_mask: 0.5461, decode.d8.loss_dice: 0.7928, loss: 19.0745 2022-09-15 15:19:11,747 - mmseg - INFO - Iter [31050/80000] lr: 8.785e-07, eta: 1 day, 7:07:10, time: 1.904, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3621, decode.loss_mask: 0.5451, decode.loss_dice: 0.7844, decode.d0.loss_cls: 1.8583, decode.d0.loss_mask: 0.5695, decode.d0.loss_dice: 0.8913, decode.d1.loss_cls: 0.4320, decode.d1.loss_mask: 0.5704, decode.d1.loss_dice: 0.8385, decode.d2.loss_cls: 0.3906, decode.d2.loss_mask: 0.5614, decode.d2.loss_dice: 0.8068, decode.d3.loss_cls: 0.3794, decode.d3.loss_mask: 0.5514, decode.d3.loss_dice: 0.7950, decode.d4.loss_cls: 0.3713, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.7937, decode.d5.loss_cls: 0.3575, decode.d5.loss_mask: 0.5506, decode.d5.loss_dice: 0.7908, decode.d6.loss_cls: 0.3594, decode.d6.loss_mask: 0.5474, decode.d6.loss_dice: 0.7860, decode.d7.loss_cls: 0.3591, decode.d7.loss_mask: 0.5486, decode.d7.loss_dice: 0.7845, decode.d8.loss_cls: 0.3631, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.7855, loss: 18.8291 2022-09-15 15:20:47,023 - mmseg - INFO - Iter [31100/80000] lr: 8.776e-07, eta: 1 day, 7:03:04, time: 1.906, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3423, decode.loss_mask: 0.5389, decode.loss_dice: 0.7953, decode.d0.loss_cls: 1.8908, decode.d0.loss_mask: 0.5667, decode.d0.loss_dice: 0.9045, decode.d1.loss_cls: 0.4244, decode.d1.loss_mask: 0.5702, decode.d1.loss_dice: 0.8517, decode.d2.loss_cls: 0.3788, decode.d2.loss_mask: 0.5539, decode.d2.loss_dice: 0.8121, decode.d3.loss_cls: 0.3639, decode.d3.loss_mask: 0.5498, decode.d3.loss_dice: 0.8023, decode.d4.loss_cls: 0.3554, decode.d4.loss_mask: 0.5437, decode.d4.loss_dice: 0.7959, decode.d5.loss_cls: 0.3501, decode.d5.loss_mask: 0.5439, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3428, decode.d6.loss_mask: 0.5394, decode.d6.loss_dice: 0.7913, decode.d7.loss_cls: 0.3395, decode.d7.loss_mask: 0.5409, decode.d7.loss_dice: 0.7924, decode.d8.loss_cls: 0.3402, decode.d8.loss_mask: 0.5398, decode.d8.loss_dice: 0.7963, loss: 18.7501 2022-09-15 15:22:21,737 - mmseg - INFO - Iter [31150/80000] lr: 8.768e-07, eta: 1 day, 6:58:56, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3391, decode.loss_mask: 0.5682, decode.loss_dice: 0.7959, decode.d0.loss_cls: 1.8359, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.9151, decode.d1.loss_cls: 0.4244, decode.d1.loss_mask: 0.5958, decode.d1.loss_dice: 0.8579, decode.d2.loss_cls: 0.3762, decode.d2.loss_mask: 0.5813, decode.d2.loss_dice: 0.8294, decode.d3.loss_cls: 0.3604, decode.d3.loss_mask: 0.5787, decode.d3.loss_dice: 0.8111, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8087, decode.d5.loss_cls: 0.3447, decode.d5.loss_mask: 0.5738, decode.d5.loss_dice: 0.8052, decode.d6.loss_cls: 0.3457, decode.d6.loss_mask: 0.5672, decode.d6.loss_dice: 0.7999, decode.d7.loss_cls: 0.3425, decode.d7.loss_mask: 0.5676, decode.d7.loss_dice: 0.8009, decode.d8.loss_cls: 0.3447, decode.d8.loss_mask: 0.5657, decode.d8.loss_dice: 0.7933, loss: 19.0505 2022-09-15 15:23:56,792 - mmseg - INFO - Iter [31200/80000] lr: 8.759e-07, eta: 1 day, 6:54:52, time: 1.900, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3608, decode.loss_mask: 0.5444, decode.loss_dice: 0.7796, decode.d0.loss_cls: 1.8837, decode.d0.loss_mask: 0.5714, decode.d0.loss_dice: 0.9017, decode.d1.loss_cls: 0.4496, decode.d1.loss_mask: 0.5731, decode.d1.loss_dice: 0.8475, decode.d2.loss_cls: 0.4009, decode.d2.loss_mask: 0.5557, decode.d2.loss_dice: 0.8082, decode.d3.loss_cls: 0.3836, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.7961, decode.d4.loss_cls: 0.3772, decode.d4.loss_mask: 0.5440, decode.d4.loss_dice: 0.7896, decode.d5.loss_cls: 0.3633, decode.d5.loss_mask: 0.5417, decode.d5.loss_dice: 0.7844, decode.d6.loss_cls: 0.3637, decode.d6.loss_mask: 0.5431, decode.d6.loss_dice: 0.7772, decode.d7.loss_cls: 0.3599, decode.d7.loss_mask: 0.5428, decode.d7.loss_dice: 0.7811, decode.d8.loss_cls: 0.3646, decode.d8.loss_mask: 0.5399, decode.d8.loss_dice: 0.7794, loss: 18.8592 2022-09-15 15:25:31,333 - mmseg - INFO - Iter [31250/80000] lr: 8.750e-07, eta: 1 day, 6:50:47, time: 1.891, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3306, decode.loss_mask: 0.5573, decode.loss_dice: 0.7753, decode.d0.loss_cls: 1.8387, decode.d0.loss_mask: 0.5938, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.4099, decode.d1.loss_mask: 0.5819, decode.d1.loss_dice: 0.8418, decode.d2.loss_cls: 0.3658, decode.d2.loss_mask: 0.5685, decode.d2.loss_dice: 0.8043, decode.d3.loss_cls: 0.3495, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.7932, decode.d4.loss_cls: 0.3463, decode.d4.loss_mask: 0.5587, decode.d4.loss_dice: 0.7877, decode.d5.loss_cls: 0.3258, decode.d5.loss_mask: 0.5579, decode.d5.loss_dice: 0.7864, decode.d6.loss_cls: 0.3315, decode.d6.loss_mask: 0.5571, decode.d6.loss_dice: 0.7748, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5575, decode.d7.loss_dice: 0.7743, decode.d8.loss_cls: 0.3293, decode.d8.loss_mask: 0.5569, decode.d8.loss_dice: 0.7722, loss: 18.6031 2022-09-15 15:27:06,535 - mmseg - INFO - Iter [31300/80000] lr: 8.741e-07, eta: 1 day, 6:46:48, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3356, decode.loss_mask: 0.5364, decode.loss_dice: 0.7830, decode.d0.loss_cls: 1.8727, decode.d0.loss_mask: 0.5664, decode.d0.loss_dice: 0.9021, decode.d1.loss_cls: 0.4334, decode.d1.loss_mask: 0.5603, decode.d1.loss_dice: 0.8373, decode.d2.loss_cls: 0.3721, decode.d2.loss_mask: 0.5512, decode.d2.loss_dice: 0.8170, decode.d3.loss_cls: 0.3590, decode.d3.loss_mask: 0.5426, decode.d3.loss_dice: 0.7991, decode.d4.loss_cls: 0.3489, decode.d4.loss_mask: 0.5430, decode.d4.loss_dice: 0.7928, decode.d5.loss_cls: 0.3441, decode.d5.loss_mask: 0.5386, decode.d5.loss_dice: 0.7892, decode.d6.loss_cls: 0.3403, decode.d6.loss_mask: 0.5362, decode.d6.loss_dice: 0.7800, decode.d7.loss_cls: 0.3401, decode.d7.loss_mask: 0.5345, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3377, decode.d8.loss_mask: 0.5366, decode.d8.loss_dice: 0.7810, loss: 18.5960 2022-09-15 15:28:41,830 - mmseg - INFO - Iter [31350/80000] lr: 8.732e-07, eta: 1 day, 6:42:52, time: 1.906, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3713, decode.loss_mask: 0.5314, decode.loss_dice: 0.7871, decode.d0.loss_cls: 1.9041, decode.d0.loss_mask: 0.5649, decode.d0.loss_dice: 0.9115, decode.d1.loss_cls: 0.4546, decode.d1.loss_mask: 0.5634, decode.d1.loss_dice: 0.8532, decode.d2.loss_cls: 0.4037, decode.d2.loss_mask: 0.5495, decode.d2.loss_dice: 0.8217, decode.d3.loss_cls: 0.3939, decode.d3.loss_mask: 0.5392, decode.d3.loss_dice: 0.8007, decode.d4.loss_cls: 0.3791, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3743, decode.d5.loss_mask: 0.5377, decode.d5.loss_dice: 0.7937, decode.d6.loss_cls: 0.3648, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.7885, decode.d7.loss_cls: 0.3669, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7905, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5323, decode.d8.loss_dice: 0.7870, loss: 18.9440 2022-09-15 15:30:16,756 - mmseg - INFO - Iter [31400/80000] lr: 8.723e-07, eta: 1 day, 6:38:56, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3690, decode.loss_mask: 0.5612, decode.loss_dice: 0.7954, decode.d0.loss_cls: 1.8671, decode.d0.loss_mask: 0.5908, decode.d0.loss_dice: 0.9044, decode.d1.loss_cls: 0.4548, decode.d1.loss_mask: 0.5860, decode.d1.loss_dice: 0.8638, decode.d2.loss_cls: 0.4087, decode.d2.loss_mask: 0.5742, decode.d2.loss_dice: 0.8267, decode.d3.loss_cls: 0.3931, decode.d3.loss_mask: 0.5653, decode.d3.loss_dice: 0.8142, decode.d4.loss_cls: 0.3786, decode.d4.loss_mask: 0.5654, decode.d4.loss_dice: 0.8110, decode.d5.loss_cls: 0.3752, decode.d5.loss_mask: 0.5635, decode.d5.loss_dice: 0.8047, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.5616, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3654, decode.d7.loss_mask: 0.5644, decode.d7.loss_dice: 0.7957, decode.d8.loss_cls: 0.3647, decode.d8.loss_mask: 0.5600, decode.d8.loss_dice: 0.7975, loss: 19.2492 2022-09-15 15:31:51,215 - mmseg - INFO - Iter [31450/80000] lr: 8.714e-07, eta: 1 day, 6:34:58, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3573, decode.loss_mask: 0.5431, decode.loss_dice: 0.7952, decode.d0.loss_cls: 1.8683, decode.d0.loss_mask: 0.5816, decode.d0.loss_dice: 0.9149, decode.d1.loss_cls: 0.4411, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3915, decode.d2.loss_mask: 0.5574, decode.d2.loss_dice: 0.8276, decode.d3.loss_cls: 0.3744, decode.d3.loss_mask: 0.5508, decode.d3.loss_dice: 0.8131, decode.d4.loss_cls: 0.3704, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8029, decode.d5.loss_cls: 0.3619, decode.d5.loss_mask: 0.5455, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3685, decode.d6.loss_mask: 0.5429, decode.d6.loss_dice: 0.7934, decode.d7.loss_cls: 0.3625, decode.d7.loss_mask: 0.5419, decode.d7.loss_dice: 0.7976, decode.d8.loss_cls: 0.3578, decode.d8.loss_mask: 0.5410, decode.d8.loss_dice: 0.8005, loss: 18.9857 2022-09-15 15:33:25,953 - mmseg - INFO - Iter [31500/80000] lr: 8.705e-07, eta: 1 day, 6:31:04, time: 1.895, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3374, decode.loss_mask: 0.5397, decode.loss_dice: 0.7942, decode.d0.loss_cls: 1.8459, decode.d0.loss_mask: 0.5738, decode.d0.loss_dice: 0.9054, decode.d1.loss_cls: 0.4191, decode.d1.loss_mask: 0.5697, decode.d1.loss_dice: 0.8649, decode.d2.loss_cls: 0.3737, decode.d2.loss_mask: 0.5550, decode.d2.loss_dice: 0.8250, decode.d3.loss_cls: 0.3593, decode.d3.loss_mask: 0.5506, decode.d3.loss_dice: 0.8062, decode.d4.loss_cls: 0.3500, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.8004, decode.d5.loss_cls: 0.3472, decode.d5.loss_mask: 0.5429, decode.d5.loss_dice: 0.8005, decode.d6.loss_cls: 0.3451, decode.d6.loss_mask: 0.5392, decode.d6.loss_dice: 0.7870, decode.d7.loss_cls: 0.3451, decode.d7.loss_mask: 0.5391, decode.d7.loss_dice: 0.7860, decode.d8.loss_cls: 0.3379, decode.d8.loss_mask: 0.5395, decode.d8.loss_dice: 0.7890, loss: 18.7161 2022-09-15 15:35:00,387 - mmseg - INFO - Iter [31550/80000] lr: 8.696e-07, eta: 1 day, 6:27:10, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3513, decode.loss_mask: 0.5502, decode.loss_dice: 0.7943, decode.d0.loss_cls: 1.8875, decode.d0.loss_mask: 0.5857, decode.d0.loss_dice: 0.9127, decode.d1.loss_cls: 0.4302, decode.d1.loss_mask: 0.5763, decode.d1.loss_dice: 0.8528, decode.d2.loss_cls: 0.3866, decode.d2.loss_mask: 0.5652, decode.d2.loss_dice: 0.8202, decode.d3.loss_cls: 0.3696, decode.d3.loss_mask: 0.5556, decode.d3.loss_dice: 0.8018, decode.d4.loss_cls: 0.3600, decode.d4.loss_mask: 0.5544, decode.d4.loss_dice: 0.8057, decode.d5.loss_cls: 0.3558, decode.d5.loss_mask: 0.5515, decode.d5.loss_dice: 0.8037, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5517, decode.d6.loss_dice: 0.7985, decode.d7.loss_cls: 0.3502, decode.d7.loss_mask: 0.5492, decode.d7.loss_dice: 0.7920, decode.d8.loss_cls: 0.3533, decode.d8.loss_mask: 0.5510, decode.d8.loss_dice: 0.7898, loss: 18.9573 2022-09-15 15:36:38,545 - mmseg - INFO - Iter [31600/80000] lr: 8.687e-07, eta: 1 day, 6:23:42, time: 1.963, data_time: 0.067, memory: 47124, decode.loss_cls: 0.3430, decode.loss_mask: 0.5275, decode.loss_dice: 0.7721, decode.d0.loss_cls: 1.8815, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8848, decode.d1.loss_cls: 0.4287, decode.d1.loss_mask: 0.5539, decode.d1.loss_dice: 0.8480, decode.d2.loss_cls: 0.3739, decode.d2.loss_mask: 0.5365, decode.d2.loss_dice: 0.8041, decode.d3.loss_cls: 0.3628, decode.d3.loss_mask: 0.5321, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3531, decode.d4.loss_mask: 0.5294, decode.d4.loss_dice: 0.7881, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5331, decode.d5.loss_dice: 0.7879, decode.d6.loss_cls: 0.3480, decode.d6.loss_mask: 0.5287, decode.d6.loss_dice: 0.7737, decode.d7.loss_cls: 0.3412, decode.d7.loss_mask: 0.5248, decode.d7.loss_dice: 0.7752, decode.d8.loss_cls: 0.3458, decode.d8.loss_mask: 0.5255, decode.d8.loss_dice: 0.7780, loss: 18.4734 2022-09-15 15:38:12,199 - mmseg - INFO - Iter [31650/80000] lr: 8.678e-07, eta: 1 day, 6:19:46, time: 1.873, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3168, decode.loss_mask: 0.5319, decode.loss_dice: 0.7759, decode.d0.loss_cls: 1.8125, decode.d0.loss_mask: 0.5641, decode.d0.loss_dice: 0.8850, decode.d1.loss_cls: 0.4042, decode.d1.loss_mask: 0.5606, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3658, decode.d2.loss_mask: 0.5471, decode.d2.loss_dice: 0.7997, decode.d3.loss_cls: 0.3434, decode.d3.loss_mask: 0.5401, decode.d3.loss_dice: 0.7824, decode.d4.loss_cls: 0.3335, decode.d4.loss_mask: 0.5392, decode.d4.loss_dice: 0.7852, decode.d5.loss_cls: 0.3250, decode.d5.loss_mask: 0.5357, decode.d5.loss_dice: 0.7782, decode.d6.loss_cls: 0.3189, decode.d6.loss_mask: 0.5334, decode.d6.loss_dice: 0.7745, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5312, decode.d7.loss_dice: 0.7756, decode.d8.loss_cls: 0.3198, decode.d8.loss_mask: 0.5328, decode.d8.loss_dice: 0.7759, loss: 18.2361 2022-09-15 15:39:46,932 - mmseg - INFO - Iter [31700/80000] lr: 8.669e-07, eta: 1 day, 6:15:59, time: 1.895, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3565, decode.loss_mask: 0.5314, decode.loss_dice: 0.7849, decode.d0.loss_cls: 1.9186, decode.d0.loss_mask: 0.5637, decode.d0.loss_dice: 0.9001, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8448, decode.d2.loss_cls: 0.3975, decode.d2.loss_mask: 0.5403, decode.d2.loss_dice: 0.8162, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5392, decode.d3.loss_dice: 0.7977, decode.d4.loss_cls: 0.3717, decode.d4.loss_mask: 0.5331, decode.d4.loss_dice: 0.7919, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5336, decode.d5.loss_dice: 0.7956, decode.d6.loss_cls: 0.3607, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.7873, decode.d7.loss_cls: 0.3601, decode.d7.loss_mask: 0.5324, decode.d7.loss_dice: 0.7915, decode.d8.loss_cls: 0.3587, decode.d8.loss_mask: 0.5322, decode.d8.loss_dice: 0.7880, loss: 18.8086 2022-09-15 15:41:23,215 - mmseg - INFO - Iter [31750/80000] lr: 8.660e-07, eta: 1 day, 6:12:24, time: 1.926, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3389, decode.loss_mask: 0.5404, decode.loss_dice: 0.7956, decode.d0.loss_cls: 1.9019, decode.d0.loss_mask: 0.5736, decode.d0.loss_dice: 0.9190, decode.d1.loss_cls: 0.4214, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8589, decode.d2.loss_cls: 0.3749, decode.d2.loss_mask: 0.5541, decode.d2.loss_dice: 0.8305, decode.d3.loss_cls: 0.3540, decode.d3.loss_mask: 0.5442, decode.d3.loss_dice: 0.8178, decode.d4.loss_cls: 0.3434, decode.d4.loss_mask: 0.5409, decode.d4.loss_dice: 0.8149, decode.d5.loss_cls: 0.3413, decode.d5.loss_mask: 0.5413, decode.d5.loss_dice: 0.8107, decode.d6.loss_cls: 0.3388, decode.d6.loss_mask: 0.5418, decode.d6.loss_dice: 0.7989, decode.d7.loss_cls: 0.3338, decode.d7.loss_mask: 0.5383, decode.d7.loss_dice: 0.8031, decode.d8.loss_cls: 0.3322, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.7974, loss: 18.8042 2022-09-15 15:42:57,985 - mmseg - INFO - Iter [31800/80000] lr: 8.651e-07, eta: 1 day, 6:08:40, time: 1.895, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3156, decode.loss_mask: 0.5548, decode.loss_dice: 0.7840, decode.d0.loss_cls: 1.8113, decode.d0.loss_mask: 0.5824, decode.d0.loss_dice: 0.9009, decode.d1.loss_cls: 0.4060, decode.d1.loss_mask: 0.5783, decode.d1.loss_dice: 0.8389, decode.d2.loss_cls: 0.3583, decode.d2.loss_mask: 0.5664, decode.d2.loss_dice: 0.8200, decode.d3.loss_cls: 0.3396, decode.d3.loss_mask: 0.5615, decode.d3.loss_dice: 0.7990, decode.d4.loss_cls: 0.3302, decode.d4.loss_mask: 0.5583, decode.d4.loss_dice: 0.7916, decode.d5.loss_cls: 0.3192, decode.d5.loss_mask: 0.5582, decode.d5.loss_dice: 0.7941, decode.d6.loss_cls: 0.3200, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.7844, decode.d7.loss_cls: 0.3200, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.7850, decode.d8.loss_cls: 0.3203, decode.d8.loss_mask: 0.5520, decode.d8.loss_dice: 0.7840, loss: 18.5420 2022-09-15 15:44:33,987 - mmseg - INFO - Iter [31850/80000] lr: 8.642e-07, eta: 1 day, 6:05:06, time: 1.920, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3385, decode.loss_mask: 0.5430, decode.loss_dice: 0.7946, decode.d0.loss_cls: 1.8363, decode.d0.loss_mask: 0.5680, decode.d0.loss_dice: 0.9041, decode.d1.loss_cls: 0.4300, decode.d1.loss_mask: 0.5639, decode.d1.loss_dice: 0.8540, decode.d2.loss_cls: 0.3754, decode.d2.loss_mask: 0.5516, decode.d2.loss_dice: 0.8205, decode.d3.loss_cls: 0.3598, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8119, decode.d4.loss_cls: 0.3512, decode.d4.loss_mask: 0.5451, decode.d4.loss_dice: 0.8031, decode.d5.loss_cls: 0.3478, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.8018, decode.d6.loss_cls: 0.3407, decode.d6.loss_mask: 0.5421, decode.d6.loss_dice: 0.7907, decode.d7.loss_cls: 0.3375, decode.d7.loss_mask: 0.5431, decode.d7.loss_dice: 0.7967, decode.d8.loss_cls: 0.3410, decode.d8.loss_mask: 0.5425, decode.d8.loss_dice: 0.7917, loss: 18.7157 2022-09-15 15:46:07,310 - mmseg - INFO - Iter [31900/80000] lr: 8.633e-07, eta: 1 day, 6:01:17, time: 1.866, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3505, decode.loss_mask: 0.5562, decode.loss_dice: 0.7755, decode.d0.loss_cls: 1.8278, decode.d0.loss_mask: 0.5920, decode.d0.loss_dice: 0.9012, decode.d1.loss_cls: 0.4264, decode.d1.loss_mask: 0.5843, decode.d1.loss_dice: 0.8364, decode.d2.loss_cls: 0.3840, decode.d2.loss_mask: 0.5649, decode.d2.loss_dice: 0.8084, decode.d3.loss_cls: 0.3619, decode.d3.loss_mask: 0.5656, decode.d3.loss_dice: 0.7914, decode.d4.loss_cls: 0.3548, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.7860, decode.d5.loss_cls: 0.3478, decode.d5.loss_mask: 0.5587, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.3442, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.7741, decode.d7.loss_cls: 0.3465, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.7786, decode.d8.loss_cls: 0.3434, decode.d8.loss_mask: 0.5564, decode.d8.loss_dice: 0.7781, loss: 18.7472 2022-09-15 15:47:41,296 - mmseg - INFO - Iter [31950/80000] lr: 8.624e-07, eta: 1 day, 5:57:34, time: 1.880, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3339, decode.loss_mask: 0.5263, decode.loss_dice: 0.7647, decode.d0.loss_cls: 1.8819, decode.d0.loss_mask: 0.5647, decode.d0.loss_dice: 0.8930, decode.d1.loss_cls: 0.4086, decode.d1.loss_mask: 0.5554, decode.d1.loss_dice: 0.8298, decode.d2.loss_cls: 0.3657, decode.d2.loss_mask: 0.5435, decode.d2.loss_dice: 0.8001, decode.d3.loss_cls: 0.3525, decode.d3.loss_mask: 0.5354, decode.d3.loss_dice: 0.7817, decode.d4.loss_cls: 0.3475, decode.d4.loss_mask: 0.5311, decode.d4.loss_dice: 0.7782, decode.d5.loss_cls: 0.3377, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.7752, decode.d6.loss_cls: 0.3305, decode.d6.loss_mask: 0.5310, decode.d6.loss_dice: 0.7725, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.7695, decode.d8.loss_cls: 0.3296, decode.d8.loss_mask: 0.5292, decode.d8.loss_dice: 0.7695, loss: 18.3307 2022-09-15 15:49:18,214 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-09-15 15:49:48,815 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 15:49:48,824 - mmseg - INFO - Iter [32000/80000] lr: 8.615e-07, eta: 1 day, 5:57:12, time: 2.548, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3344, decode.loss_mask: 0.5344, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.8298, decode.d0.loss_mask: 0.5708, decode.d0.loss_dice: 0.8913, decode.d1.loss_cls: 0.4131, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8309, decode.d2.loss_cls: 0.3736, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8005, decode.d3.loss_cls: 0.3544, decode.d3.loss_mask: 0.5435, decode.d3.loss_dice: 0.7861, decode.d4.loss_cls: 0.3442, decode.d4.loss_mask: 0.5418, decode.d4.loss_dice: 0.7824, decode.d5.loss_cls: 0.3382, decode.d5.loss_mask: 0.5391, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.3361, decode.d6.loss_mask: 0.5365, decode.d6.loss_dice: 0.7759, decode.d7.loss_cls: 0.3328, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7745, decode.d8.loss_cls: 0.3313, decode.d8.loss_mask: 0.5362, decode.d8.loss_dice: 0.7798, loss: 18.4205 2022-09-15 15:51:41,020 - mmseg - INFO - per class results: 2022-09-15 15:51:41,033 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 83.03 | 90.38 | | building | 85.27 | 92.36 | | sky | 95.04 | 97.61 | | floor | 85.59 | 90.76 | | tree | 78.54 | 89.27 | | ceiling | 87.37 | 93.79 | | road | 87.69 | 91.06 | | bed | 93.66 | 97.02 | | windowpane | 66.64 | 77.82 | | grass | 73.01 | 82.6 | | cabinet | 65.64 | 75.33 | | sidewalk | 70.61 | 86.72 | | person | 88.04 | 93.92 | | earth | 40.56 | 57.85 | | door | 60.68 | 75.29 | | table | 70.22 | 80.7 | | mountain | 63.89 | 74.41 | | plant | 57.2 | 73.49 | | curtain | 81.96 | 90.72 | | chair | 68.38 | 80.06 | | car | 89.63 | 94.08 | | water | 58.1 | 72.1 | | painting | 79.5 | 90.0 | | sofa | 82.78 | 89.67 | | shelf | 49.61 | 65.21 | | house | 47.62 | 59.81 | | sea | 66.03 | 91.28 | | mirror | 77.06 | 88.02 | | rug | 69.38 | 83.81 | | field | 32.75 | 55.69 | | armchair | 56.66 | 71.09 | | seat | 69.32 | 89.77 | | fence | 52.82 | 69.57 | | desk | 54.63 | 80.59 | | rock | 55.22 | 79.93 | | wardrobe | 58.42 | 78.31 | | lamp | 78.9 | 88.91 | | bathtub | 89.7 | 91.24 | | railing | 44.55 | 65.26 | | cushion | 70.5 | 82.63 | | base | 44.98 | 76.24 | | box | 40.78 | 54.84 | | column | 61.55 | 68.59 | | signboard | 45.22 | 65.82 | | chest of drawers | 49.69 | 76.95 | | counter | 41.33 | 55.17 | | sand | 50.66 | 71.36 | | sink | 82.86 | 85.76 | | skyscraper | 45.52 | 57.12 | | fireplace | 78.9 | 96.39 | | refrigerator | 81.84 | 88.68 | | grandstand | 62.1 | 84.1 | | path | 15.41 | 18.14 | | stairs | 57.5 | 71.41 | | runway | 74.06 | 95.75 | | case | 69.25 | 87.61 | | pool table | 95.58 | 97.67 | | pillow | 68.58 | 84.25 | | screen door | 72.54 | 77.67 | | stairway | 55.35 | 74.53 | | river | 18.12 | 21.75 | | bridge | 65.0 | 82.15 | | bookcase | 32.57 | 53.55 | | blind | 42.35 | 52.71 | | coffee table | 65.64 | 89.46 | | toilet | 90.73 | 95.09 | | flower | 51.21 | 65.46 | | book | 58.69 | 79.25 | | hill | 10.02 | 13.94 | | bench | 70.87 | 81.44 | | countertop | 64.79 | 79.87 | | stove | 89.27 | 92.53 | | palm | 56.39 | 80.25 | | kitchen island | 47.11 | 75.54 | | computer | 84.02 | 89.79 | | swivel chair | 56.42 | 84.09 | | boat | 54.63 | 89.36 | | bar | 67.3 | 76.24 | | arcade machine | 91.39 | 98.59 | | hovel | 68.43 | 78.33 | | bus | 94.67 | 96.59 | | towel | 79.52 | 92.6 | | light | 68.79 | 81.12 | | truck | 50.28 | 65.77 | | tower | 37.07 | 56.07 | | chandelier | 76.69 | 90.15 | | awning | 38.05 | 44.83 | | streetlight | 45.14 | 69.39 | | booth | 51.46 | 66.43 | | television receiver | 86.0 | 93.82 | | airplane | 82.1 | 96.48 | | dirt track | 21.23 | 54.58 | | apparel | 53.34 | 86.69 | | pole | 31.1 | 46.04 | | land | 1.15 | 2.13 | | bannister | 29.13 | 43.7 | | escalator | 62.09 | 86.42 | | ottoman | 55.77 | 75.55 | | bottle | 53.02 | 80.42 | | buffet | 57.54 | 76.07 | | poster | 41.7 | 58.78 | | stage | 17.53 | 36.53 | | van | 47.4 | 78.53 | | ship | 78.7 | 98.57 | | fountain | 29.22 | 30.75 | | conveyer belt | 78.16 | 98.05 | | canopy | 59.31 | 93.72 | | washer | 74.35 | 94.56 | | plaything | 33.87 | 54.85 | | swimming pool | 75.53 | 76.33 | | stool | 50.08 | 78.61 | | barrel | 84.82 | 94.57 | | basket | 49.31 | 68.21 | | waterfall | 47.96 | 56.15 | | tent | 91.72 | 98.35 | | bag | 32.08 | 44.69 | | minibike | 82.34 | 91.24 | | cradle | 91.44 | 97.46 | | oven | 70.99 | 76.3 | | ball | 52.91 | 58.49 | | food | 68.27 | 77.49 | | step | 33.83 | 44.99 | | tank | 62.32 | 66.99 | | trade name | 25.41 | 31.43 | | microwave | 89.88 | 97.29 | | pot | 62.05 | 75.34 | | animal | 82.42 | 84.55 | | bicycle | 64.14 | 80.1 | | lake | 35.41 | 72.19 | | dishwasher | 85.17 | 90.92 | | screen | 66.16 | 95.66 | | blanket | 40.45 | 50.86 | | sculpture | 66.94 | 91.66 | | hood | 78.81 | 93.85 | | sconce | 64.55 | 80.86 | | vase | 55.01 | 83.35 | | traffic light | 49.66 | 73.69 | | tray | 24.99 | 38.7 | | ashcan | 57.42 | 72.17 | | fan | 73.53 | 86.18 | | pier | 79.21 | 84.04 | | crt screen | 7.18 | 19.41 | | plate | 66.74 | 82.69 | | monitor | 12.07 | 14.72 | | bulletin board | 65.17 | 85.94 | | shower | 3.62 | 34.7 | | radiator | 74.98 | 92.41 | | glass | 28.48 | 32.76 | | clock | 56.75 | 64.07 | | flag | 71.92 | 86.06 | +---------------------+-------+-------+ 2022-09-15 15:51:41,033 - mmseg - INFO - Summary: 2022-09-15 15:51:41,033 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 86.67 | 60.54 | 74.8 | +-------+-------+------+ 2022-09-15 15:51:41,046 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 15:51:41,046 - mmseg - INFO - Iter(val) [125] aAcc: 0.8667, mIoU: 0.6054, mAcc: 0.7480, IoU.wall: 0.8303, IoU.building: 0.8527, IoU.sky: 0.9504, IoU.floor: 0.8559, IoU.tree: 0.7854, IoU.ceiling: 0.8737, IoU.road: 0.8769, IoU.bed : 0.9366, IoU.windowpane: 0.6664, IoU.grass: 0.7301, IoU.cabinet: 0.6564, IoU.sidewalk: 0.7061, IoU.person: 0.8804, IoU.earth: 0.4056, IoU.door: 0.6068, IoU.table: 0.7022, IoU.mountain: 0.6389, IoU.plant: 0.5720, IoU.curtain: 0.8196, IoU.chair: 0.6838, IoU.car: 0.8963, IoU.water: 0.5810, IoU.painting: 0.7950, IoU.sofa: 0.8278, IoU.shelf: 0.4961, IoU.house: 0.4762, IoU.sea: 0.6603, IoU.mirror: 0.7706, IoU.rug: 0.6938, IoU.field: 0.3275, IoU.armchair: 0.5666, IoU.seat: 0.6932, IoU.fence: 0.5282, IoU.desk: 0.5463, IoU.rock: 0.5522, IoU.wardrobe: 0.5842, IoU.lamp: 0.7890, IoU.bathtub: 0.8970, IoU.railing: 0.4455, IoU.cushion: 0.7050, IoU.base: 0.4498, IoU.box: 0.4078, IoU.column: 0.6155, IoU.signboard: 0.4522, IoU.chest of drawers: 0.4969, IoU.counter: 0.4133, IoU.sand: 0.5066, IoU.sink: 0.8286, IoU.skyscraper: 0.4552, IoU.fireplace: 0.7890, IoU.refrigerator: 0.8184, IoU.grandstand: 0.6210, IoU.path: 0.1541, IoU.stairs: 0.5750, IoU.runway: 0.7406, IoU.case: 0.6925, IoU.pool table: 0.9558, IoU.pillow: 0.6858, IoU.screen door: 0.7254, IoU.stairway: 0.5535, IoU.river: 0.1812, IoU.bridge: 0.6500, IoU.bookcase: 0.3257, IoU.blind: 0.4235, IoU.coffee table: 0.6564, IoU.toilet: 0.9073, IoU.flower: 0.5121, IoU.book: 0.5869, IoU.hill: 0.1002, IoU.bench: 0.7087, IoU.countertop: 0.6479, IoU.stove: 0.8927, IoU.palm: 0.5639, IoU.kitchen island: 0.4711, IoU.computer: 0.8402, IoU.swivel chair: 0.5642, IoU.boat: 0.5463, IoU.bar: 0.6730, IoU.arcade machine: 0.9139, IoU.hovel: 0.6843, IoU.bus: 0.9467, IoU.towel: 0.7952, IoU.light: 0.6879, IoU.truck: 0.5028, IoU.tower: 0.3707, IoU.chandelier: 0.7669, IoU.awning: 0.3805, IoU.streetlight: 0.4514, IoU.booth: 0.5146, IoU.television receiver: 0.8600, IoU.airplane: 0.8210, IoU.dirt track: 0.2123, IoU.apparel: 0.5334, IoU.pole: 0.3110, IoU.land: 0.0115, IoU.bannister: 0.2913, IoU.escalator: 0.6209, IoU.ottoman: 0.5577, IoU.bottle: 0.5302, IoU.buffet: 0.5754, IoU.poster: 0.4170, IoU.stage: 0.1753, IoU.van: 0.4740, IoU.ship: 0.7870, IoU.fountain: 0.2922, IoU.conveyer belt: 0.7816, IoU.canopy: 0.5931, IoU.washer: 0.7435, IoU.plaything: 0.3387, IoU.swimming pool: 0.7553, IoU.stool: 0.5008, IoU.barrel: 0.8482, IoU.basket: 0.4931, IoU.waterfall: 0.4796, IoU.tent: 0.9172, IoU.bag: 0.3208, IoU.minibike: 0.8234, IoU.cradle: 0.9144, IoU.oven: 0.7099, IoU.ball: 0.5291, IoU.food: 0.6827, IoU.step: 0.3383, IoU.tank: 0.6232, IoU.trade name: 0.2541, IoU.microwave: 0.8988, IoU.pot: 0.6205, IoU.animal: 0.8242, IoU.bicycle: 0.6414, IoU.lake: 0.3541, IoU.dishwasher: 0.8517, IoU.screen: 0.6616, IoU.blanket: 0.4045, IoU.sculpture: 0.6694, IoU.hood: 0.7881, IoU.sconce: 0.6455, IoU.vase: 0.5501, IoU.traffic light: 0.4966, IoU.tray: 0.2499, IoU.ashcan: 0.5742, IoU.fan: 0.7353, IoU.pier: 0.7921, IoU.crt screen: 0.0718, IoU.plate: 0.6674, IoU.monitor: 0.1207, IoU.bulletin board: 0.6517, IoU.shower: 0.0362, IoU.radiator: 0.7498, IoU.glass: 0.2848, IoU.clock: 0.5675, IoU.flag: 0.7192, Acc.wall: 0.9038, Acc.building: 0.9236, Acc.sky: 0.9761, Acc.floor: 0.9076, Acc.tree: 0.8927, Acc.ceiling: 0.9379, Acc.road: 0.9106, Acc.bed : 0.9702, Acc.windowpane: 0.7782, Acc.grass: 0.8260, Acc.cabinet: 0.7533, Acc.sidewalk: 0.8672, Acc.person: 0.9392, Acc.earth: 0.5785, Acc.door: 0.7529, Acc.table: 0.8070, Acc.mountain: 0.7441, Acc.plant: 0.7349, Acc.curtain: 0.9072, Acc.chair: 0.8006, Acc.car: 0.9408, Acc.water: 0.7210, Acc.painting: 0.9000, Acc.sofa: 0.8967, Acc.shelf: 0.6521, Acc.house: 0.5981, Acc.sea: 0.9128, Acc.mirror: 0.8802, Acc.rug: 0.8381, Acc.field: 0.5569, Acc.armchair: 0.7109, Acc.seat: 0.8977, Acc.fence: 0.6957, Acc.desk: 0.8059, Acc.rock: 0.7993, Acc.wardrobe: 0.7831, Acc.lamp: 0.8891, Acc.bathtub: 0.9124, Acc.railing: 0.6526, Acc.cushion: 0.8263, Acc.base: 0.7624, Acc.box: 0.5484, Acc.column: 0.6859, Acc.signboard: 0.6582, Acc.chest of drawers: 0.7695, Acc.counter: 0.5517, Acc.sand: 0.7136, Acc.sink: 0.8576, Acc.skyscraper: 0.5712, Acc.fireplace: 0.9639, Acc.refrigerator: 0.8868, Acc.grandstand: 0.8410, Acc.path: 0.1814, Acc.stairs: 0.7141, Acc.runway: 0.9575, Acc.case: 0.8761, Acc.pool table: 0.9767, Acc.pillow: 0.8425, Acc.screen door: 0.7767, Acc.stairway: 0.7453, Acc.river: 0.2175, Acc.bridge: 0.8215, Acc.bookcase: 0.5355, Acc.blind: 0.5271, Acc.coffee table: 0.8946, Acc.toilet: 0.9509, Acc.flower: 0.6546, Acc.book: 0.7925, Acc.hill: 0.1394, Acc.bench: 0.8144, Acc.countertop: 0.7987, Acc.stove: 0.9253, Acc.palm: 0.8025, Acc.kitchen island: 0.7554, Acc.computer: 0.8979, Acc.swivel chair: 0.8409, Acc.boat: 0.8936, Acc.bar: 0.7624, Acc.arcade machine: 0.9859, Acc.hovel: 0.7833, Acc.bus: 0.9659, Acc.towel: 0.9260, Acc.light: 0.8112, Acc.truck: 0.6577, Acc.tower: 0.5607, Acc.chandelier: 0.9015, Acc.awning: 0.4483, Acc.streetlight: 0.6939, Acc.booth: 0.6643, Acc.television receiver: 0.9382, Acc.airplane: 0.9648, Acc.dirt track: 0.5458, Acc.apparel: 0.8669, Acc.pole: 0.4604, Acc.land: 0.0213, Acc.bannister: 0.4370, Acc.escalator: 0.8642, Acc.ottoman: 0.7555, Acc.bottle: 0.8042, Acc.buffet: 0.7607, Acc.poster: 0.5878, Acc.stage: 0.3653, Acc.van: 0.7853, Acc.ship: 0.9857, Acc.fountain: 0.3075, Acc.conveyer belt: 0.9805, Acc.canopy: 0.9372, Acc.washer: 0.9456, Acc.plaything: 0.5485, Acc.swimming pool: 0.7633, Acc.stool: 0.7861, Acc.barrel: 0.9457, Acc.basket: 0.6821, Acc.waterfall: 0.5615, Acc.tent: 0.9835, Acc.bag: 0.4469, Acc.minibike: 0.9124, Acc.cradle: 0.9746, Acc.oven: 0.7630, Acc.ball: 0.5849, Acc.food: 0.7749, Acc.step: 0.4499, Acc.tank: 0.6699, Acc.trade name: 0.3143, Acc.microwave: 0.9729, Acc.pot: 0.7534, Acc.animal: 0.8455, Acc.bicycle: 0.8010, Acc.lake: 0.7219, Acc.dishwasher: 0.9092, Acc.screen: 0.9566, Acc.blanket: 0.5086, Acc.sculpture: 0.9166, Acc.hood: 0.9385, Acc.sconce: 0.8086, Acc.vase: 0.8335, Acc.traffic light: 0.7369, Acc.tray: 0.3870, Acc.ashcan: 0.7217, Acc.fan: 0.8618, Acc.pier: 0.8404, Acc.crt screen: 0.1941, Acc.plate: 0.8269, Acc.monitor: 0.1472, Acc.bulletin board: 0.8594, Acc.shower: 0.3470, Acc.radiator: 0.9241, Acc.glass: 0.3276, Acc.clock: 0.6407, Acc.flag: 0.8606 2022-09-15 15:53:16,322 - mmseg - INFO - Iter [32050/80000] lr: 8.606e-07, eta: 1 day, 6:04:48, time: 4.152, data_time: 2.265, memory: 47124, decode.loss_cls: 0.3491, decode.loss_mask: 0.5468, decode.loss_dice: 0.7912, decode.d0.loss_cls: 1.8914, decode.d0.loss_mask: 0.5840, decode.d0.loss_dice: 0.9123, decode.d1.loss_cls: 0.4336, decode.d1.loss_mask: 0.5746, decode.d1.loss_dice: 0.8561, decode.d2.loss_cls: 0.3853, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.8259, decode.d3.loss_cls: 0.3694, decode.d3.loss_mask: 0.5540, decode.d3.loss_dice: 0.8050, decode.d4.loss_cls: 0.3592, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8050, decode.d5.loss_cls: 0.3501, decode.d5.loss_mask: 0.5529, decode.d5.loss_dice: 0.8090, decode.d6.loss_cls: 0.3502, decode.d6.loss_mask: 0.5482, decode.d6.loss_dice: 0.7968, decode.d7.loss_cls: 0.3434, decode.d7.loss_mask: 0.5490, decode.d7.loss_dice: 0.7937, decode.d8.loss_cls: 0.3440, decode.d8.loss_mask: 0.5486, decode.d8.loss_dice: 0.7939, loss: 18.9384 2022-09-15 15:54:51,180 - mmseg - INFO - Iter [32100/80000] lr: 8.597e-07, eta: 1 day, 6:01:08, time: 1.898, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3369, decode.loss_mask: 0.5362, decode.loss_dice: 0.7606, decode.d0.loss_cls: 1.8643, decode.d0.loss_mask: 0.5677, decode.d0.loss_dice: 0.8708, decode.d1.loss_cls: 0.4176, decode.d1.loss_mask: 0.5641, decode.d1.loss_dice: 0.8228, decode.d2.loss_cls: 0.3850, decode.d2.loss_mask: 0.5468, decode.d2.loss_dice: 0.7994, decode.d3.loss_cls: 0.3672, decode.d3.loss_mask: 0.5418, decode.d3.loss_dice: 0.7774, decode.d4.loss_cls: 0.3503, decode.d4.loss_mask: 0.5419, decode.d4.loss_dice: 0.7787, decode.d5.loss_cls: 0.3477, decode.d5.loss_mask: 0.5416, decode.d5.loss_dice: 0.7736, decode.d6.loss_cls: 0.3395, decode.d6.loss_mask: 0.5371, decode.d6.loss_dice: 0.7658, decode.d7.loss_cls: 0.3375, decode.d7.loss_mask: 0.5357, decode.d7.loss_dice: 0.7691, decode.d8.loss_cls: 0.3372, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.7677, loss: 18.4195 2022-09-15 15:56:27,252 - mmseg - INFO - Iter [32150/80000] lr: 8.588e-07, eta: 1 day, 5:57:36, time: 1.919, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3459, decode.loss_mask: 0.5272, decode.loss_dice: 0.7624, decode.d0.loss_cls: 1.9021, decode.d0.loss_mask: 0.5559, decode.d0.loss_dice: 0.8874, decode.d1.loss_cls: 0.4290, decode.d1.loss_mask: 0.5564, decode.d1.loss_dice: 0.8300, decode.d2.loss_cls: 0.3810, decode.d2.loss_mask: 0.5442, decode.d2.loss_dice: 0.7962, decode.d3.loss_cls: 0.3641, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.7799, decode.d4.loss_cls: 0.3577, decode.d4.loss_mask: 0.5352, decode.d4.loss_dice: 0.7779, decode.d5.loss_cls: 0.3506, decode.d5.loss_mask: 0.5359, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.3482, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.7672, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5307, decode.d7.loss_dice: 0.7689, decode.d8.loss_cls: 0.3468, decode.d8.loss_mask: 0.5296, decode.d8.loss_dice: 0.7693, loss: 18.4740 2022-09-15 15:58:00,973 - mmseg - INFO - Iter [32200/80000] lr: 8.579e-07, eta: 1 day, 5:53:54, time: 1.876, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3508, decode.loss_mask: 0.5312, decode.loss_dice: 0.7752, decode.d0.loss_cls: 1.8266, decode.d0.loss_mask: 0.5643, decode.d0.loss_dice: 0.8923, decode.d1.loss_cls: 0.4264, decode.d1.loss_mask: 0.5590, decode.d1.loss_dice: 0.8314, decode.d2.loss_cls: 0.3828, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.8136, decode.d3.loss_cls: 0.3643, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.7927, decode.d4.loss_cls: 0.3595, decode.d4.loss_mask: 0.5363, decode.d4.loss_dice: 0.7895, decode.d5.loss_cls: 0.3507, decode.d5.loss_mask: 0.5360, decode.d5.loss_dice: 0.7819, decode.d6.loss_cls: 0.3482, decode.d6.loss_mask: 0.5334, decode.d6.loss_dice: 0.7808, decode.d7.loss_cls: 0.3471, decode.d7.loss_mask: 0.5307, decode.d7.loss_dice: 0.7799, decode.d8.loss_cls: 0.3461, decode.d8.loss_mask: 0.5293, decode.d8.loss_dice: 0.7805, loss: 18.5305 2022-09-15 15:59:36,858 - mmseg - INFO - Iter [32250/80000] lr: 8.570e-07, eta: 1 day, 5:50:24, time: 1.916, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3565, decode.loss_mask: 0.5395, decode.loss_dice: 0.8065, decode.d0.loss_cls: 1.8689, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.9107, decode.d1.loss_cls: 0.4373, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8671, decode.d2.loss_cls: 0.3906, decode.d2.loss_mask: 0.5505, decode.d2.loss_dice: 0.8381, decode.d3.loss_cls: 0.3792, decode.d3.loss_mask: 0.5464, decode.d3.loss_dice: 0.8123, decode.d4.loss_cls: 0.3776, decode.d4.loss_mask: 0.5390, decode.d4.loss_dice: 0.8155, decode.d5.loss_cls: 0.3632, decode.d5.loss_mask: 0.5375, decode.d5.loss_dice: 0.8116, decode.d6.loss_cls: 0.3663, decode.d6.loss_mask: 0.5394, decode.d6.loss_dice: 0.8000, decode.d7.loss_cls: 0.3595, decode.d7.loss_mask: 0.5387, decode.d7.loss_dice: 0.8022, decode.d8.loss_cls: 0.3598, decode.d8.loss_mask: 0.5398, decode.d8.loss_dice: 0.8039, loss: 18.9904 2022-09-15 16:01:11,918 - mmseg - INFO - Iter [32300/80000] lr: 8.561e-07, eta: 1 day, 5:46:51, time: 1.902, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3560, decode.loss_mask: 0.5566, decode.loss_dice: 0.8182, decode.d0.loss_cls: 1.9085, decode.d0.loss_mask: 0.5824, decode.d0.loss_dice: 0.9336, decode.d1.loss_cls: 0.4501, decode.d1.loss_mask: 0.5794, decode.d1.loss_dice: 0.8764, decode.d2.loss_cls: 0.3906, decode.d2.loss_mask: 0.5728, decode.d2.loss_dice: 0.8458, decode.d3.loss_cls: 0.3822, decode.d3.loss_mask: 0.5618, decode.d3.loss_dice: 0.8345, decode.d4.loss_cls: 0.3710, decode.d4.loss_mask: 0.5589, decode.d4.loss_dice: 0.8272, decode.d5.loss_cls: 0.3617, decode.d5.loss_mask: 0.5581, decode.d5.loss_dice: 0.8249, decode.d6.loss_cls: 0.3656, decode.d6.loss_mask: 0.5558, decode.d6.loss_dice: 0.8146, decode.d7.loss_cls: 0.3589, decode.d7.loss_mask: 0.5579, decode.d7.loss_dice: 0.8175, decode.d8.loss_cls: 0.3529, decode.d8.loss_mask: 0.5594, decode.d8.loss_dice: 0.8190, loss: 19.3522 2022-09-15 16:02:47,408 - mmseg - INFO - Iter [32350/80000] lr: 8.552e-07, eta: 1 day, 5:43:22, time: 1.910, data_time: 0.022, memory: 47124, decode.loss_cls: 0.3442, decode.loss_mask: 0.5340, decode.loss_dice: 0.7940, decode.d0.loss_cls: 1.8577, decode.d0.loss_mask: 0.5630, decode.d0.loss_dice: 0.8978, decode.d1.loss_cls: 0.4243, decode.d1.loss_mask: 0.5558, decode.d1.loss_dice: 0.8473, decode.d2.loss_cls: 0.3763, decode.d2.loss_mask: 0.5416, decode.d2.loss_dice: 0.8174, decode.d3.loss_cls: 0.3669, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7973, decode.d4.loss_cls: 0.3531, decode.d4.loss_mask: 0.5373, decode.d4.loss_dice: 0.8001, decode.d5.loss_cls: 0.3508, decode.d5.loss_mask: 0.5370, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3467, decode.d6.loss_mask: 0.5336, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.3438, decode.d7.loss_mask: 0.5331, decode.d7.loss_dice: 0.7933, decode.d8.loss_cls: 0.3436, decode.d8.loss_mask: 0.5336, decode.d8.loss_dice: 0.7931, loss: 18.6368 2022-09-15 16:04:23,631 - mmseg - INFO - Iter [32400/80000] lr: 8.543e-07, eta: 1 day, 5:40:00, time: 1.926, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3455, decode.loss_mask: 0.5236, decode.loss_dice: 0.7816, decode.d0.loss_cls: 1.8541, decode.d0.loss_mask: 0.5565, decode.d0.loss_dice: 0.8867, decode.d1.loss_cls: 0.4391, decode.d1.loss_mask: 0.5503, decode.d1.loss_dice: 0.8427, decode.d2.loss_cls: 0.3790, decode.d2.loss_mask: 0.5369, decode.d2.loss_dice: 0.8117, decode.d3.loss_cls: 0.3672, decode.d3.loss_mask: 0.5309, decode.d3.loss_dice: 0.7914, decode.d4.loss_cls: 0.3557, decode.d4.loss_mask: 0.5276, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.3489, decode.d5.loss_mask: 0.5263, decode.d5.loss_dice: 0.7858, decode.d6.loss_cls: 0.3502, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7779, decode.d7.loss_cls: 0.3419, decode.d7.loss_mask: 0.5221, decode.d7.loss_dice: 0.7868, decode.d8.loss_cls: 0.3453, decode.d8.loss_mask: 0.5207, decode.d8.loss_dice: 0.7803, loss: 18.4748 2022-09-15 16:05:57,190 - mmseg - INFO - Iter [32450/80000] lr: 8.534e-07, eta: 1 day, 5:36:23, time: 1.871, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3650, decode.loss_mask: 0.5370, decode.loss_dice: 0.7911, decode.d0.loss_cls: 1.8634, decode.d0.loss_mask: 0.5597, decode.d0.loss_dice: 0.9009, decode.d1.loss_cls: 0.4535, decode.d1.loss_mask: 0.5574, decode.d1.loss_dice: 0.8453, decode.d2.loss_cls: 0.3964, decode.d2.loss_mask: 0.5442, decode.d2.loss_dice: 0.8127, decode.d3.loss_cls: 0.3802, decode.d3.loss_mask: 0.5428, decode.d3.loss_dice: 0.7956, decode.d4.loss_cls: 0.3698, decode.d4.loss_mask: 0.5398, decode.d4.loss_dice: 0.7953, decode.d5.loss_cls: 0.3660, decode.d5.loss_mask: 0.5397, decode.d5.loss_dice: 0.7953, decode.d6.loss_cls: 0.3664, decode.d6.loss_mask: 0.5371, decode.d6.loss_dice: 0.7804, decode.d7.loss_cls: 0.3662, decode.d7.loss_mask: 0.5349, decode.d7.loss_dice: 0.7885, decode.d8.loss_cls: 0.3661, decode.d8.loss_mask: 0.5381, decode.d8.loss_dice: 0.7885, loss: 18.8171 2022-09-15 16:07:32,490 - mmseg - INFO - Iter [32500/80000] lr: 8.525e-07, eta: 1 day, 5:32:57, time: 1.906, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3696, decode.loss_mask: 0.5443, decode.loss_dice: 0.7945, decode.d0.loss_cls: 1.8948, decode.d0.loss_mask: 0.5742, decode.d0.loss_dice: 0.9105, decode.d1.loss_cls: 0.4597, decode.d1.loss_mask: 0.5746, decode.d1.loss_dice: 0.8756, decode.d2.loss_cls: 0.4075, decode.d2.loss_mask: 0.5621, decode.d2.loss_dice: 0.8344, decode.d3.loss_cls: 0.3896, decode.d3.loss_mask: 0.5508, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3803, decode.d4.loss_mask: 0.5485, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3753, decode.d5.loss_mask: 0.5443, decode.d5.loss_dice: 0.8074, decode.d6.loss_cls: 0.3711, decode.d6.loss_mask: 0.5415, decode.d6.loss_dice: 0.7934, decode.d7.loss_cls: 0.3718, decode.d7.loss_mask: 0.5426, decode.d7.loss_dice: 0.7971, decode.d8.loss_cls: 0.3708, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7969, loss: 19.1494 2022-09-15 16:09:05,664 - mmseg - INFO - Iter [32550/80000] lr: 8.516e-07, eta: 1 day, 5:29:21, time: 1.863, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3276, decode.loss_mask: 0.5457, decode.loss_dice: 0.7687, decode.d0.loss_cls: 1.8293, decode.d0.loss_mask: 0.5778, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.4149, decode.d1.loss_mask: 0.5704, decode.d1.loss_dice: 0.8377, decode.d2.loss_cls: 0.3637, decode.d2.loss_mask: 0.5581, decode.d2.loss_dice: 0.8039, decode.d3.loss_cls: 0.3444, decode.d3.loss_mask: 0.5491, decode.d3.loss_dice: 0.7850, decode.d4.loss_cls: 0.3354, decode.d4.loss_mask: 0.5523, decode.d4.loss_dice: 0.7830, decode.d5.loss_cls: 0.3318, decode.d5.loss_mask: 0.5458, decode.d5.loss_dice: 0.7731, decode.d6.loss_cls: 0.3334, decode.d6.loss_mask: 0.5461, decode.d6.loss_dice: 0.7696, decode.d7.loss_cls: 0.3295, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.7717, decode.d8.loss_cls: 0.3270, decode.d8.loss_mask: 0.5464, decode.d8.loss_dice: 0.7721, loss: 18.4244 2022-09-15 16:10:38,939 - mmseg - INFO - Iter [32600/80000] lr: 8.507e-07, eta: 1 day, 5:25:46, time: 1.865, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3639, decode.loss_mask: 0.5406, decode.loss_dice: 0.7877, decode.d0.loss_cls: 1.8594, decode.d0.loss_mask: 0.5807, decode.d0.loss_dice: 0.9140, decode.d1.loss_cls: 0.4425, decode.d1.loss_mask: 0.5771, decode.d1.loss_dice: 0.8532, decode.d2.loss_cls: 0.3984, decode.d2.loss_mask: 0.5654, decode.d2.loss_dice: 0.8215, decode.d3.loss_cls: 0.3878, decode.d3.loss_mask: 0.5566, decode.d3.loss_dice: 0.8021, decode.d4.loss_cls: 0.3792, decode.d4.loss_mask: 0.5539, decode.d4.loss_dice: 0.7970, decode.d5.loss_cls: 0.3737, decode.d5.loss_mask: 0.5488, decode.d5.loss_dice: 0.8014, decode.d6.loss_cls: 0.3714, decode.d6.loss_mask: 0.5450, decode.d6.loss_dice: 0.7938, decode.d7.loss_cls: 0.3671, decode.d7.loss_mask: 0.5477, decode.d7.loss_dice: 0.7926, decode.d8.loss_cls: 0.3686, decode.d8.loss_mask: 0.5455, decode.d8.loss_dice: 0.7847, loss: 19.0214 2022-09-15 16:12:13,564 - mmseg - INFO - Iter [32650/80000] lr: 8.498e-07, eta: 1 day, 5:22:21, time: 1.893, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3408, decode.loss_mask: 0.5413, decode.loss_dice: 0.7681, decode.d0.loss_cls: 1.8649, decode.d0.loss_mask: 0.5722, decode.d0.loss_dice: 0.8859, decode.d1.loss_cls: 0.4305, decode.d1.loss_mask: 0.5670, decode.d1.loss_dice: 0.8195, decode.d2.loss_cls: 0.3827, decode.d2.loss_mask: 0.5568, decode.d2.loss_dice: 0.7894, decode.d3.loss_cls: 0.3648, decode.d3.loss_mask: 0.5526, decode.d3.loss_dice: 0.7834, decode.d4.loss_cls: 0.3579, decode.d4.loss_mask: 0.5493, decode.d4.loss_dice: 0.7776, decode.d5.loss_cls: 0.3530, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.7745, decode.d6.loss_cls: 0.3491, decode.d6.loss_mask: 0.5424, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.3444, decode.d7.loss_mask: 0.5400, decode.d7.loss_dice: 0.7675, decode.d8.loss_cls: 0.3441, decode.d8.loss_mask: 0.5413, decode.d8.loss_dice: 0.7666, loss: 18.5444 2022-09-15 16:13:47,255 - mmseg - INFO - Iter [32700/80000] lr: 8.489e-07, eta: 1 day, 5:18:51, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3517, decode.loss_mask: 0.5297, decode.loss_dice: 0.7679, decode.d0.loss_cls: 1.9064, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8971, decode.d1.loss_cls: 0.4416, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8281, decode.d2.loss_cls: 0.3931, decode.d2.loss_mask: 0.5402, decode.d2.loss_dice: 0.7963, decode.d3.loss_cls: 0.3737, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7845, decode.d4.loss_cls: 0.3616, decode.d4.loss_mask: 0.5360, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.3575, decode.d5.loss_mask: 0.5297, decode.d5.loss_dice: 0.7739, decode.d6.loss_cls: 0.3524, decode.d6.loss_mask: 0.5282, decode.d6.loss_dice: 0.7728, decode.d7.loss_cls: 0.3488, decode.d7.loss_mask: 0.5306, decode.d7.loss_dice: 0.7738, decode.d8.loss_cls: 0.3485, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7727, loss: 18.5575 2022-09-15 16:15:22,119 - mmseg - INFO - Iter [32750/80000] lr: 8.480e-07, eta: 1 day, 5:15:30, time: 1.897, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3688, decode.loss_mask: 0.5438, decode.loss_dice: 0.8168, decode.d0.loss_cls: 1.9223, decode.d0.loss_mask: 0.5784, decode.d0.loss_dice: 0.9391, decode.d1.loss_cls: 0.4773, decode.d1.loss_mask: 0.5684, decode.d1.loss_dice: 0.8760, decode.d2.loss_cls: 0.4146, decode.d2.loss_mask: 0.5584, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.4000, decode.d3.loss_mask: 0.5537, decode.d3.loss_dice: 0.8261, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5511, decode.d4.loss_dice: 0.8316, decode.d5.loss_cls: 0.3754, decode.d5.loss_mask: 0.5497, decode.d5.loss_dice: 0.8207, decode.d6.loss_cls: 0.3768, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.8155, decode.d7.loss_cls: 0.3720, decode.d7.loss_mask: 0.5441, decode.d7.loss_dice: 0.8155, decode.d8.loss_cls: 0.3719, decode.d8.loss_mask: 0.5431, decode.d8.loss_dice: 0.8137, loss: 19.3909 2022-09-15 16:16:55,192 - mmseg - INFO - Iter [32800/80000] lr: 8.471e-07, eta: 1 day, 5:12:00, time: 1.861, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3442, decode.loss_mask: 0.5285, decode.loss_dice: 0.7751, decode.d0.loss_cls: 1.8518, decode.d0.loss_mask: 0.5643, decode.d0.loss_dice: 0.8843, decode.d1.loss_cls: 0.4253, decode.d1.loss_mask: 0.5576, decode.d1.loss_dice: 0.8278, decode.d2.loss_cls: 0.3904, decode.d2.loss_mask: 0.5413, decode.d2.loss_dice: 0.8046, decode.d3.loss_cls: 0.3700, decode.d3.loss_mask: 0.5371, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.3565, decode.d4.loss_mask: 0.5318, decode.d4.loss_dice: 0.7802, decode.d5.loss_cls: 0.3434, decode.d5.loss_mask: 0.5332, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.3452, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7725, decode.d7.loss_cls: 0.3452, decode.d7.loss_mask: 0.5331, decode.d7.loss_dice: 0.7746, decode.d8.loss_cls: 0.3472, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7725, loss: 18.4599 2022-09-15 16:18:32,706 - mmseg - INFO - Iter [32850/80000] lr: 8.462e-07, eta: 1 day, 5:08:54, time: 1.950, data_time: 0.066, memory: 47124, decode.loss_cls: 0.3495, decode.loss_mask: 0.5312, decode.loss_dice: 0.7913, decode.d0.loss_cls: 1.8738, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.9011, decode.d1.loss_cls: 0.4269, decode.d1.loss_mask: 0.5509, decode.d1.loss_dice: 0.8473, decode.d2.loss_cls: 0.3802, decode.d2.loss_mask: 0.5461, decode.d2.loss_dice: 0.8159, decode.d3.loss_cls: 0.3745, decode.d3.loss_mask: 0.5381, decode.d3.loss_dice: 0.8071, decode.d4.loss_cls: 0.3582, decode.d4.loss_mask: 0.5380, decode.d4.loss_dice: 0.8030, decode.d5.loss_cls: 0.3584, decode.d5.loss_mask: 0.5355, decode.d5.loss_dice: 0.7975, decode.d6.loss_cls: 0.3488, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3498, decode.d7.loss_mask: 0.5316, decode.d7.loss_dice: 0.7969, decode.d8.loss_cls: 0.3484, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7930, loss: 18.7149 2022-09-15 16:20:07,220 - mmseg - INFO - Iter [32900/80000] lr: 8.453e-07, eta: 1 day, 5:05:35, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3101, decode.loss_mask: 0.5313, decode.loss_dice: 0.7646, decode.d0.loss_cls: 1.8595, decode.d0.loss_mask: 0.5598, decode.d0.loss_dice: 0.8752, decode.d1.loss_cls: 0.3927, decode.d1.loss_mask: 0.5563, decode.d1.loss_dice: 0.8208, decode.d2.loss_cls: 0.3530, decode.d2.loss_mask: 0.5444, decode.d2.loss_dice: 0.7857, decode.d3.loss_cls: 0.3338, decode.d3.loss_mask: 0.5366, decode.d3.loss_dice: 0.7669, decode.d4.loss_cls: 0.3203, decode.d4.loss_mask: 0.5343, decode.d4.loss_dice: 0.7665, decode.d5.loss_cls: 0.3105, decode.d5.loss_mask: 0.5350, decode.d5.loss_dice: 0.7687, decode.d6.loss_cls: 0.3101, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.3140, decode.d7.loss_mask: 0.5320, decode.d7.loss_dice: 0.7646, decode.d8.loss_cls: 0.3074, decode.d8.loss_mask: 0.5331, decode.d8.loss_dice: 0.7650, loss: 18.0506 2022-09-15 16:21:40,691 - mmseg - INFO - Iter [32950/80000] lr: 8.444e-07, eta: 1 day, 5:02:10, time: 1.869, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3104, decode.loss_mask: 0.5338, decode.loss_dice: 0.7839, decode.d0.loss_cls: 1.8079, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8914, decode.d1.loss_cls: 0.4070, decode.d1.loss_mask: 0.5627, decode.d1.loss_dice: 0.8386, decode.d2.loss_cls: 0.3532, decode.d2.loss_mask: 0.5501, decode.d2.loss_dice: 0.8135, decode.d3.loss_cls: 0.3414, decode.d3.loss_mask: 0.5461, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3299, decode.d4.loss_mask: 0.5373, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3245, decode.d5.loss_mask: 0.5374, decode.d5.loss_dice: 0.7870, decode.d6.loss_cls: 0.3166, decode.d6.loss_mask: 0.5333, decode.d6.loss_dice: 0.7834, decode.d7.loss_cls: 0.3134, decode.d7.loss_mask: 0.5335, decode.d7.loss_dice: 0.7836, decode.d8.loss_cls: 0.3131, decode.d8.loss_mask: 0.5330, decode.d8.loss_dice: 0.7833, loss: 18.3067 2022-09-15 16:23:15,229 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-09-15 16:23:48,661 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 16:23:48,669 - mmseg - INFO - Iter [33000/80000] lr: 8.435e-07, eta: 1 day, 5:01:47, time: 2.557, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3390, decode.loss_mask: 0.5266, decode.loss_dice: 0.7467, decode.d0.loss_cls: 1.8429, decode.d0.loss_mask: 0.5540, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.4131, decode.d1.loss_mask: 0.5535, decode.d1.loss_dice: 0.8152, decode.d2.loss_cls: 0.3715, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.7822, decode.d3.loss_cls: 0.3537, decode.d3.loss_mask: 0.5356, decode.d3.loss_dice: 0.7644, decode.d4.loss_cls: 0.3422, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.7577, decode.d5.loss_cls: 0.3390, decode.d5.loss_mask: 0.5303, decode.d5.loss_dice: 0.7566, decode.d6.loss_cls: 0.3360, decode.d6.loss_mask: 0.5271, decode.d6.loss_dice: 0.7515, decode.d7.loss_cls: 0.3344, decode.d7.loss_mask: 0.5271, decode.d7.loss_dice: 0.7506, decode.d8.loss_cls: 0.3333, decode.d8.loss_mask: 0.5281, decode.d8.loss_dice: 0.7498, loss: 18.1060 2022-09-15 16:25:22,977 - mmseg - INFO - Iter [33050/80000] lr: 8.427e-07, eta: 1 day, 4:58:29, time: 1.888, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3421, decode.loss_mask: 0.5329, decode.loss_dice: 0.7834, decode.d0.loss_cls: 1.8946, decode.d0.loss_mask: 0.5684, decode.d0.loss_dice: 0.8862, decode.d1.loss_cls: 0.4335, decode.d1.loss_mask: 0.5654, decode.d1.loss_dice: 0.8372, decode.d2.loss_cls: 0.3924, decode.d2.loss_mask: 0.5500, decode.d2.loss_dice: 0.8065, decode.d3.loss_cls: 0.3692, decode.d3.loss_mask: 0.5389, decode.d3.loss_dice: 0.7868, decode.d4.loss_cls: 0.3592, decode.d4.loss_mask: 0.5369, decode.d4.loss_dice: 0.7874, decode.d5.loss_cls: 0.3464, decode.d5.loss_mask: 0.5354, decode.d5.loss_dice: 0.7881, decode.d6.loss_cls: 0.3380, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7842, decode.d7.loss_cls: 0.3457, decode.d7.loss_mask: 0.5337, decode.d7.loss_dice: 0.7794, decode.d8.loss_cls: 0.3485, decode.d8.loss_mask: 0.5357, decode.d8.loss_dice: 0.7771, loss: 18.6181 2022-09-15 16:26:58,862 - mmseg - INFO - Iter [33100/80000] lr: 8.418e-07, eta: 1 day, 4:55:19, time: 1.918, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3299, decode.loss_mask: 0.5278, decode.loss_dice: 0.7904, decode.d0.loss_cls: 1.8234, decode.d0.loss_mask: 0.5548, decode.d0.loss_dice: 0.9015, decode.d1.loss_cls: 0.4291, decode.d1.loss_mask: 0.5524, decode.d1.loss_dice: 0.8573, decode.d2.loss_cls: 0.3766, decode.d2.loss_mask: 0.5430, decode.d2.loss_dice: 0.8199, decode.d3.loss_cls: 0.3499, decode.d3.loss_mask: 0.5372, decode.d3.loss_dice: 0.8117, decode.d4.loss_cls: 0.3450, decode.d4.loss_mask: 0.5318, decode.d4.loss_dice: 0.8036, decode.d5.loss_cls: 0.3383, decode.d5.loss_mask: 0.5268, decode.d5.loss_dice: 0.7970, decode.d6.loss_cls: 0.3349, decode.d6.loss_mask: 0.5264, decode.d6.loss_dice: 0.7903, decode.d7.loss_cls: 0.3306, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7933, decode.d8.loss_cls: 0.3294, decode.d8.loss_mask: 0.5296, decode.d8.loss_dice: 0.7898, loss: 18.4987 2022-09-15 16:28:31,982 - mmseg - INFO - Iter [33150/80000] lr: 8.409e-07, eta: 1 day, 4:51:57, time: 1.863, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3429, decode.loss_mask: 0.5242, decode.loss_dice: 0.7745, decode.d0.loss_cls: 1.8825, decode.d0.loss_mask: 0.5616, decode.d0.loss_dice: 0.8916, decode.d1.loss_cls: 0.4306, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8335, decode.d2.loss_cls: 0.3842, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.8026, decode.d3.loss_cls: 0.3690, decode.d3.loss_mask: 0.5323, decode.d3.loss_dice: 0.7819, decode.d4.loss_cls: 0.3563, decode.d4.loss_mask: 0.5319, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.3434, decode.d5.loss_mask: 0.5308, decode.d5.loss_dice: 0.7788, decode.d6.loss_cls: 0.3501, decode.d6.loss_mask: 0.5247, decode.d6.loss_dice: 0.7723, decode.d7.loss_cls: 0.3493, decode.d7.loss_mask: 0.5241, decode.d7.loss_dice: 0.7702, decode.d8.loss_cls: 0.3450, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7665, loss: 18.4568 2022-09-15 16:30:06,779 - mmseg - INFO - Iter [33200/80000] lr: 8.400e-07, eta: 1 day, 4:48:44, time: 1.896, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3536, decode.loss_mask: 0.5575, decode.loss_dice: 0.8046, decode.d0.loss_cls: 1.8898, decode.d0.loss_mask: 0.5927, decode.d0.loss_dice: 0.9247, decode.d1.loss_cls: 0.4443, decode.d1.loss_mask: 0.5934, decode.d1.loss_dice: 0.8761, decode.d2.loss_cls: 0.3927, decode.d2.loss_mask: 0.5737, decode.d2.loss_dice: 0.8315, decode.d3.loss_cls: 0.3815, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8193, decode.d4.loss_cls: 0.3705, decode.d4.loss_mask: 0.5643, decode.d4.loss_dice: 0.8124, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.8142, decode.d6.loss_cls: 0.3614, decode.d6.loss_mask: 0.5606, decode.d6.loss_dice: 0.8081, decode.d7.loss_cls: 0.3562, decode.d7.loss_mask: 0.5591, decode.d7.loss_dice: 0.8129, decode.d8.loss_cls: 0.3627, decode.d8.loss_mask: 0.5580, decode.d8.loss_dice: 0.8088, loss: 19.2748 2022-09-15 16:31:41,482 - mmseg - INFO - Iter [33250/80000] lr: 8.391e-07, eta: 1 day, 4:45:32, time: 1.894, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3298, decode.loss_mask: 0.5165, decode.loss_dice: 0.7697, decode.d0.loss_cls: 1.8698, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8868, decode.d1.loss_cls: 0.4133, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8395, decode.d2.loss_cls: 0.3684, decode.d2.loss_mask: 0.5294, decode.d2.loss_dice: 0.8059, decode.d3.loss_cls: 0.3510, decode.d3.loss_mask: 0.5234, decode.d3.loss_dice: 0.7861, decode.d4.loss_cls: 0.3398, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.7858, decode.d5.loss_cls: 0.3351, decode.d5.loss_mask: 0.5186, decode.d5.loss_dice: 0.7855, decode.d6.loss_cls: 0.3348, decode.d6.loss_mask: 0.5153, decode.d6.loss_dice: 0.7740, decode.d7.loss_cls: 0.3324, decode.d7.loss_mask: 0.5156, decode.d7.loss_dice: 0.7695, decode.d8.loss_cls: 0.3307, decode.d8.loss_mask: 0.5179, decode.d8.loss_dice: 0.7764, loss: 18.2324 2022-09-15 16:33:14,820 - mmseg - INFO - Iter [33300/80000] lr: 8.382e-07, eta: 1 day, 4:42:14, time: 1.867, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3353, decode.loss_mask: 0.5259, decode.loss_dice: 0.8006, decode.d0.loss_cls: 1.9072, decode.d0.loss_mask: 0.5564, decode.d0.loss_dice: 0.9125, decode.d1.loss_cls: 0.4318, decode.d1.loss_mask: 0.5478, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.3752, decode.d2.loss_mask: 0.5381, decode.d2.loss_dice: 0.8281, decode.d3.loss_cls: 0.3598, decode.d3.loss_mask: 0.5328, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3485, decode.d4.loss_mask: 0.5305, decode.d4.loss_dice: 0.8120, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5319, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3391, decode.d6.loss_mask: 0.5280, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.3359, decode.d7.loss_mask: 0.5299, decode.d7.loss_dice: 0.7988, decode.d8.loss_cls: 0.3335, decode.d8.loss_mask: 0.5280, decode.d8.loss_dice: 0.8007, loss: 18.6881 2022-09-15 16:34:49,831 - mmseg - INFO - Iter [33350/80000] lr: 8.373e-07, eta: 1 day, 4:39:05, time: 1.900, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3342, decode.loss_mask: 0.5591, decode.loss_dice: 0.7982, decode.d0.loss_cls: 1.8495, decode.d0.loss_mask: 0.5830, decode.d0.loss_dice: 0.9074, decode.d1.loss_cls: 0.4195, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8646, decode.d2.loss_cls: 0.3664, decode.d2.loss_mask: 0.5701, decode.d2.loss_dice: 0.8267, decode.d3.loss_cls: 0.3607, decode.d3.loss_mask: 0.5612, decode.d3.loss_dice: 0.8112, decode.d4.loss_cls: 0.3490, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8099, decode.d5.loss_cls: 0.3433, decode.d5.loss_mask: 0.5602, decode.d5.loss_dice: 0.8067, decode.d6.loss_cls: 0.3414, decode.d6.loss_mask: 0.5596, decode.d6.loss_dice: 0.7984, decode.d7.loss_cls: 0.3428, decode.d7.loss_mask: 0.5564, decode.d7.loss_dice: 0.7991, decode.d8.loss_cls: 0.3411, decode.d8.loss_mask: 0.5583, decode.d8.loss_dice: 0.7975, loss: 18.9200 2022-09-15 16:36:24,100 - mmseg - INFO - Iter [33400/80000] lr: 8.364e-07, eta: 1 day, 4:35:53, time: 1.885, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3367, decode.loss_mask: 0.5590, decode.loss_dice: 0.7718, decode.d0.loss_cls: 1.8503, decode.d0.loss_mask: 0.5934, decode.d0.loss_dice: 0.8764, decode.d1.loss_cls: 0.4204, decode.d1.loss_mask: 0.5808, decode.d1.loss_dice: 0.8197, decode.d2.loss_cls: 0.3663, decode.d2.loss_mask: 0.5761, decode.d2.loss_dice: 0.7980, decode.d3.loss_cls: 0.3561, decode.d3.loss_mask: 0.5658, decode.d3.loss_dice: 0.7762, decode.d4.loss_cls: 0.3448, decode.d4.loss_mask: 0.5665, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.3418, decode.d5.loss_mask: 0.5628, decode.d5.loss_dice: 0.7744, decode.d6.loss_cls: 0.3337, decode.d6.loss_mask: 0.5624, decode.d6.loss_dice: 0.7691, decode.d7.loss_cls: 0.3297, decode.d7.loss_mask: 0.5617, decode.d7.loss_dice: 0.7736, decode.d8.loss_cls: 0.3340, decode.d8.loss_mask: 0.5613, decode.d8.loss_dice: 0.7708, loss: 18.6095 2022-09-15 16:37:58,000 - mmseg - INFO - Iter [33450/80000] lr: 8.355e-07, eta: 1 day, 4:32:42, time: 1.879, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3370, decode.loss_mask: 0.5355, decode.loss_dice: 0.7769, decode.d0.loss_cls: 1.8649, decode.d0.loss_mask: 0.5634, decode.d0.loss_dice: 0.8934, decode.d1.loss_cls: 0.4249, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8303, decode.d2.loss_cls: 0.3743, decode.d2.loss_mask: 0.5470, decode.d2.loss_dice: 0.8087, decode.d3.loss_cls: 0.3587, decode.d3.loss_mask: 0.5403, decode.d3.loss_dice: 0.7867, decode.d4.loss_cls: 0.3510, decode.d4.loss_mask: 0.5366, decode.d4.loss_dice: 0.7833, decode.d5.loss_cls: 0.3421, decode.d5.loss_mask: 0.5378, decode.d5.loss_dice: 0.7779, decode.d6.loss_cls: 0.3366, decode.d6.loss_mask: 0.5360, decode.d6.loss_dice: 0.7741, decode.d7.loss_cls: 0.3342, decode.d7.loss_mask: 0.5356, decode.d7.loss_dice: 0.7783, decode.d8.loss_cls: 0.3286, decode.d8.loss_mask: 0.5352, decode.d8.loss_dice: 0.7816, loss: 18.4693 2022-09-15 16:39:32,216 - mmseg - INFO - Iter [33500/80000] lr: 8.346e-07, eta: 1 day, 4:29:32, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3246, decode.loss_mask: 0.5332, decode.loss_dice: 0.7764, decode.d0.loss_cls: 1.8434, decode.d0.loss_mask: 0.5627, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.4101, decode.d1.loss_mask: 0.5621, decode.d1.loss_dice: 0.8363, decode.d2.loss_cls: 0.3677, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.3493, decode.d3.loss_mask: 0.5472, decode.d3.loss_dice: 0.7921, decode.d4.loss_cls: 0.3392, decode.d4.loss_mask: 0.5421, decode.d4.loss_dice: 0.7866, decode.d5.loss_cls: 0.3333, decode.d5.loss_mask: 0.5407, decode.d5.loss_dice: 0.7879, decode.d6.loss_cls: 0.3271, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.3306, decode.d7.loss_mask: 0.5326, decode.d7.loss_dice: 0.7731, decode.d8.loss_cls: 0.3292, decode.d8.loss_mask: 0.5382, decode.d8.loss_dice: 0.7776, loss: 18.3954 2022-09-15 16:41:05,980 - mmseg - INFO - Iter [33550/80000] lr: 8.337e-07, eta: 1 day, 4:26:21, time: 1.875, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3253, decode.loss_mask: 0.5294, decode.loss_dice: 0.7564, decode.d0.loss_cls: 1.8453, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8724, decode.d1.loss_cls: 0.4204, decode.d1.loss_mask: 0.5567, decode.d1.loss_dice: 0.8125, decode.d2.loss_cls: 0.3636, decode.d2.loss_mask: 0.5391, decode.d2.loss_dice: 0.7911, decode.d3.loss_cls: 0.3496, decode.d3.loss_mask: 0.5349, decode.d3.loss_dice: 0.7732, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7736, decode.d5.loss_cls: 0.3337, decode.d5.loss_mask: 0.5327, decode.d5.loss_dice: 0.7652, decode.d6.loss_cls: 0.3322, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7581, decode.d7.loss_cls: 0.3302, decode.d7.loss_mask: 0.5317, decode.d7.loss_dice: 0.7610, decode.d8.loss_cls: 0.3264, decode.d8.loss_mask: 0.5289, decode.d8.loss_dice: 0.7622, loss: 18.1711 2022-09-15 16:42:38,389 - mmseg - INFO - Iter [33600/80000] lr: 8.328e-07, eta: 1 day, 4:23:05, time: 1.848, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3325, decode.loss_mask: 0.5434, decode.loss_dice: 0.7811, decode.d0.loss_cls: 1.8159, decode.d0.loss_mask: 0.5730, decode.d0.loss_dice: 0.8936, decode.d1.loss_cls: 0.4211, decode.d1.loss_mask: 0.5688, decode.d1.loss_dice: 0.8307, decode.d2.loss_cls: 0.3686, decode.d2.loss_mask: 0.5587, decode.d2.loss_dice: 0.8053, decode.d3.loss_cls: 0.3522, decode.d3.loss_mask: 0.5524, decode.d3.loss_dice: 0.7952, decode.d4.loss_cls: 0.3490, decode.d4.loss_mask: 0.5442, decode.d4.loss_dice: 0.7919, decode.d5.loss_cls: 0.3451, decode.d5.loss_mask: 0.5428, decode.d5.loss_dice: 0.7849, decode.d6.loss_cls: 0.3396, decode.d6.loss_mask: 0.5410, decode.d6.loss_dice: 0.7759, decode.d7.loss_cls: 0.3360, decode.d7.loss_mask: 0.5431, decode.d7.loss_dice: 0.7814, decode.d8.loss_cls: 0.3372, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.7822, loss: 18.5315 2022-09-15 16:44:11,612 - mmseg - INFO - Iter [33650/80000] lr: 8.319e-07, eta: 1 day, 4:19:54, time: 1.864, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3377, decode.loss_mask: 0.5192, decode.loss_dice: 0.7790, decode.d0.loss_cls: 1.8879, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8943, decode.d1.loss_cls: 0.4398, decode.d1.loss_mask: 0.5420, decode.d1.loss_dice: 0.8304, decode.d2.loss_cls: 0.3853, decode.d2.loss_mask: 0.5296, decode.d2.loss_dice: 0.8089, decode.d3.loss_cls: 0.3654, decode.d3.loss_mask: 0.5271, decode.d3.loss_dice: 0.7965, decode.d4.loss_cls: 0.3561, decode.d4.loss_mask: 0.5231, decode.d4.loss_dice: 0.7982, decode.d5.loss_cls: 0.3495, decode.d5.loss_mask: 0.5219, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.3463, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7788, decode.d7.loss_cls: 0.3444, decode.d7.loss_mask: 0.5179, decode.d7.loss_dice: 0.7789, decode.d8.loss_cls: 0.3364, decode.d8.loss_mask: 0.5182, decode.d8.loss_dice: 0.7798, loss: 18.4465 2022-09-15 16:45:45,602 - mmseg - INFO - Iter [33700/80000] lr: 8.310e-07, eta: 1 day, 4:16:47, time: 1.880, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3393, decode.loss_mask: 0.5705, decode.loss_dice: 0.8121, decode.d0.loss_cls: 1.8254, decode.d0.loss_mask: 0.6064, decode.d0.loss_dice: 0.9245, decode.d1.loss_cls: 0.4201, decode.d1.loss_mask: 0.5962, decode.d1.loss_dice: 0.8725, decode.d2.loss_cls: 0.3699, decode.d2.loss_mask: 0.5880, decode.d2.loss_dice: 0.8409, decode.d3.loss_cls: 0.3633, decode.d3.loss_mask: 0.5803, decode.d3.loss_dice: 0.8258, decode.d4.loss_cls: 0.3495, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8286, decode.d5.loss_cls: 0.3420, decode.d5.loss_mask: 0.5765, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3406, decode.d6.loss_mask: 0.5728, decode.d6.loss_dice: 0.8166, decode.d7.loss_cls: 0.3424, decode.d7.loss_mask: 0.5708, decode.d7.loss_dice: 0.8090, decode.d8.loss_cls: 0.3345, decode.d8.loss_mask: 0.5743, decode.d8.loss_dice: 0.8180, loss: 19.2094 2022-09-15 16:47:19,443 - mmseg - INFO - Iter [33750/80000] lr: 8.301e-07, eta: 1 day, 4:13:41, time: 1.877, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3379, decode.loss_mask: 0.5193, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.8398, decode.d0.loss_mask: 0.5456, decode.d0.loss_dice: 0.8737, decode.d1.loss_cls: 0.4132, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8227, decode.d2.loss_cls: 0.3777, decode.d2.loss_mask: 0.5259, decode.d2.loss_dice: 0.7964, decode.d3.loss_cls: 0.3608, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.3448, decode.d4.loss_mask: 0.5188, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.3423, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.7782, decode.d6.loss_cls: 0.3420, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7676, decode.d7.loss_cls: 0.3358, decode.d7.loss_mask: 0.5184, decode.d7.loss_dice: 0.7712, decode.d8.loss_cls: 0.3410, decode.d8.loss_mask: 0.5178, decode.d8.loss_dice: 0.7623, loss: 18.1825 2022-09-15 16:48:54,094 - mmseg - INFO - Iter [33800/80000] lr: 8.292e-07, eta: 1 day, 4:10:40, time: 1.893, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3444, decode.loss_mask: 0.5344, decode.loss_dice: 0.7723, decode.d0.loss_cls: 1.8740, decode.d0.loss_mask: 0.5733, decode.d0.loss_dice: 0.8967, decode.d1.loss_cls: 0.4329, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8290, decode.d2.loss_cls: 0.3791, decode.d2.loss_mask: 0.5480, decode.d2.loss_dice: 0.8017, decode.d3.loss_cls: 0.3627, decode.d3.loss_mask: 0.5417, decode.d3.loss_dice: 0.7828, decode.d4.loss_cls: 0.3526, decode.d4.loss_mask: 0.5396, decode.d4.loss_dice: 0.7829, decode.d5.loss_cls: 0.3427, decode.d5.loss_mask: 0.5380, decode.d5.loss_dice: 0.7856, decode.d6.loss_cls: 0.3427, decode.d6.loss_mask: 0.5345, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.3405, decode.d7.loss_mask: 0.5349, decode.d7.loss_dice: 0.7760, decode.d8.loss_cls: 0.3379, decode.d8.loss_mask: 0.5336, decode.d8.loss_dice: 0.7767, loss: 18.5265 2022-09-15 16:50:27,042 - mmseg - INFO - Iter [33850/80000] lr: 8.283e-07, eta: 1 day, 4:07:31, time: 1.859, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3240, decode.loss_mask: 0.5402, decode.loss_dice: 0.7829, decode.d0.loss_cls: 1.8078, decode.d0.loss_mask: 0.5708, decode.d0.loss_dice: 0.8970, decode.d1.loss_cls: 0.4036, decode.d1.loss_mask: 0.5711, decode.d1.loss_dice: 0.8456, decode.d2.loss_cls: 0.3597, decode.d2.loss_mask: 0.5538, decode.d2.loss_dice: 0.8203, decode.d3.loss_cls: 0.3561, decode.d3.loss_mask: 0.5457, decode.d3.loss_dice: 0.7956, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5423, decode.d4.loss_dice: 0.7954, decode.d5.loss_cls: 0.3324, decode.d5.loss_mask: 0.5410, decode.d5.loss_dice: 0.7863, decode.d6.loss_cls: 0.3267, decode.d6.loss_mask: 0.5416, decode.d6.loss_dice: 0.7823, decode.d7.loss_cls: 0.3257, decode.d7.loss_mask: 0.5417, decode.d7.loss_dice: 0.7859, decode.d8.loss_cls: 0.3295, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.7850, loss: 18.4665 2022-09-15 16:51:59,804 - mmseg - INFO - Iter [33900/80000] lr: 8.274e-07, eta: 1 day, 4:04:22, time: 1.855, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3158, decode.loss_mask: 0.5476, decode.loss_dice: 0.7614, decode.d0.loss_cls: 1.8053, decode.d0.loss_mask: 0.5820, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.4031, decode.d1.loss_mask: 0.5712, decode.d1.loss_dice: 0.8180, decode.d2.loss_cls: 0.3521, decode.d2.loss_mask: 0.5607, decode.d2.loss_dice: 0.7960, decode.d3.loss_cls: 0.3345, decode.d3.loss_mask: 0.5549, decode.d3.loss_dice: 0.7753, decode.d4.loss_cls: 0.3328, decode.d4.loss_mask: 0.5524, decode.d4.loss_dice: 0.7727, decode.d5.loss_cls: 0.3189, decode.d5.loss_mask: 0.5494, decode.d5.loss_dice: 0.7725, decode.d6.loss_cls: 0.3206, decode.d6.loss_mask: 0.5474, decode.d6.loss_dice: 0.7720, decode.d7.loss_cls: 0.3207, decode.d7.loss_mask: 0.5472, decode.d7.loss_dice: 0.7657, decode.d8.loss_cls: 0.3182, decode.d8.loss_mask: 0.5468, decode.d8.loss_dice: 0.7679, loss: 18.2602 2022-09-15 16:53:32,783 - mmseg - INFO - Iter [33950/80000] lr: 8.265e-07, eta: 1 day, 4:01:16, time: 1.859, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3408, decode.loss_mask: 0.5482, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.7945, decode.d0.loss_mask: 0.5739, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5754, decode.d1.loss_dice: 0.8413, decode.d2.loss_cls: 0.3742, decode.d2.loss_mask: 0.5579, decode.d2.loss_dice: 0.8069, decode.d3.loss_cls: 0.3585, decode.d3.loss_mask: 0.5533, decode.d3.loss_dice: 0.7919, decode.d4.loss_cls: 0.3489, decode.d4.loss_mask: 0.5496, decode.d4.loss_dice: 0.7880, decode.d5.loss_cls: 0.3419, decode.d5.loss_mask: 0.5497, decode.d5.loss_dice: 0.7862, decode.d6.loss_cls: 0.3453, decode.d6.loss_mask: 0.5460, decode.d6.loss_dice: 0.7776, decode.d7.loss_cls: 0.3400, decode.d7.loss_mask: 0.5457, decode.d7.loss_dice: 0.7822, decode.d8.loss_cls: 0.3370, decode.d8.loss_mask: 0.5471, decode.d8.loss_dice: 0.7810, loss: 18.5655 2022-09-15 16:55:07,794 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-09-15 16:55:35,190 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 16:55:35,198 - mmseg - INFO - Iter [34000/80000] lr: 8.256e-07, eta: 1 day, 4:00:25, time: 2.446, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3388, decode.loss_mask: 0.5210, decode.loss_dice: 0.7805, decode.d0.loss_cls: 1.8744, decode.d0.loss_mask: 0.5541, decode.d0.loss_dice: 0.8869, decode.d1.loss_cls: 0.4204, decode.d1.loss_mask: 0.5464, decode.d1.loss_dice: 0.8425, decode.d2.loss_cls: 0.3704, decode.d2.loss_mask: 0.5413, decode.d2.loss_dice: 0.8093, decode.d3.loss_cls: 0.3597, decode.d3.loss_mask: 0.5297, decode.d3.loss_dice: 0.7926, decode.d4.loss_cls: 0.3546, decode.d4.loss_mask: 0.5246, decode.d4.loss_dice: 0.7822, decode.d5.loss_cls: 0.3392, decode.d5.loss_mask: 0.5225, decode.d5.loss_dice: 0.7847, decode.d6.loss_cls: 0.3428, decode.d6.loss_mask: 0.5226, decode.d6.loss_dice: 0.7775, decode.d7.loss_cls: 0.3416, decode.d7.loss_mask: 0.5214, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3339, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7810, loss: 18.4049 2022-09-15 16:57:09,702 - mmseg - INFO - Iter [34050/80000] lr: 8.247e-07, eta: 1 day, 3:57:27, time: 1.892, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3420, decode.loss_mask: 0.5422, decode.loss_dice: 0.7765, decode.d0.loss_cls: 1.8052, decode.d0.loss_mask: 0.5731, decode.d0.loss_dice: 0.8888, decode.d1.loss_cls: 0.4275, decode.d1.loss_mask: 0.5672, decode.d1.loss_dice: 0.8425, decode.d2.loss_cls: 0.3780, decode.d2.loss_mask: 0.5577, decode.d2.loss_dice: 0.8091, decode.d3.loss_cls: 0.3616, decode.d3.loss_mask: 0.5509, decode.d3.loss_dice: 0.7882, decode.d4.loss_cls: 0.3519, decode.d4.loss_mask: 0.5477, decode.d4.loss_dice: 0.7840, decode.d5.loss_cls: 0.3493, decode.d5.loss_mask: 0.5459, decode.d5.loss_dice: 0.7806, decode.d6.loss_cls: 0.3459, decode.d6.loss_mask: 0.5457, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.3407, decode.d7.loss_mask: 0.5422, decode.d7.loss_dice: 0.7772, decode.d8.loss_cls: 0.3408, decode.d8.loss_mask: 0.5429, decode.d8.loss_dice: 0.7787, loss: 18.5585 2022-09-15 16:58:44,296 - mmseg - INFO - Iter [34100/80000] lr: 8.238e-07, eta: 1 day, 3:54:30, time: 1.892, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3644, decode.loss_mask: 0.5609, decode.loss_dice: 0.8219, decode.d0.loss_cls: 1.8689, decode.d0.loss_mask: 0.6023, decode.d0.loss_dice: 0.9500, decode.d1.loss_cls: 0.4439, decode.d1.loss_mask: 0.5961, decode.d1.loss_dice: 0.8997, decode.d2.loss_cls: 0.3913, decode.d2.loss_mask: 0.5823, decode.d2.loss_dice: 0.8601, decode.d3.loss_cls: 0.3768, decode.d3.loss_mask: 0.5728, decode.d3.loss_dice: 0.8423, decode.d4.loss_cls: 0.3669, decode.d4.loss_mask: 0.5702, decode.d4.loss_dice: 0.8397, decode.d5.loss_cls: 0.3626, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8385, decode.d6.loss_cls: 0.3614, decode.d6.loss_mask: 0.5655, decode.d6.loss_dice: 0.8319, decode.d7.loss_cls: 0.3539, decode.d7.loss_mask: 0.5668, decode.d7.loss_dice: 0.8275, decode.d8.loss_cls: 0.3593, decode.d8.loss_mask: 0.5642, decode.d8.loss_dice: 0.8274, loss: 19.5383 2022-09-15 17:00:21,452 - mmseg - INFO - Iter [34150/80000] lr: 8.229e-07, eta: 1 day, 3:51:45, time: 1.943, data_time: 0.064, memory: 47124, decode.loss_cls: 0.3394, decode.loss_mask: 0.5140, decode.loss_dice: 0.7752, decode.d0.loss_cls: 1.8923, decode.d0.loss_mask: 0.5397, decode.d0.loss_dice: 0.8888, decode.d1.loss_cls: 0.4473, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8355, decode.d2.loss_cls: 0.3843, decode.d2.loss_mask: 0.5287, decode.d2.loss_dice: 0.8048, decode.d3.loss_cls: 0.3641, decode.d3.loss_mask: 0.5182, decode.d3.loss_dice: 0.7882, decode.d4.loss_cls: 0.3499, decode.d4.loss_mask: 0.5180, decode.d4.loss_dice: 0.7775, decode.d5.loss_cls: 0.3407, decode.d5.loss_mask: 0.5165, decode.d5.loss_dice: 0.7783, decode.d6.loss_cls: 0.3421, decode.d6.loss_mask: 0.5171, decode.d6.loss_dice: 0.7708, decode.d7.loss_cls: 0.3362, decode.d7.loss_mask: 0.5145, decode.d7.loss_dice: 0.7736, decode.d8.loss_cls: 0.3344, decode.d8.loss_mask: 0.5164, decode.d8.loss_dice: 0.7724, loss: 18.3170 2022-09-15 17:01:54,643 - mmseg - INFO - Iter [34200/80000] lr: 8.220e-07, eta: 1 day, 3:48:43, time: 1.864, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3427, decode.loss_mask: 0.5499, decode.loss_dice: 0.7875, decode.d0.loss_cls: 1.8453, decode.d0.loss_mask: 0.5800, decode.d0.loss_dice: 0.9110, decode.d1.loss_cls: 0.4301, decode.d1.loss_mask: 0.5738, decode.d1.loss_dice: 0.8480, decode.d2.loss_cls: 0.3838, decode.d2.loss_mask: 0.5630, decode.d2.loss_dice: 0.8256, decode.d3.loss_cls: 0.3623, decode.d3.loss_mask: 0.5602, decode.d3.loss_dice: 0.8095, decode.d4.loss_cls: 0.3534, decode.d4.loss_mask: 0.5511, decode.d4.loss_dice: 0.8023, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5480, decode.d5.loss_dice: 0.8023, decode.d6.loss_cls: 0.3419, decode.d6.loss_mask: 0.5510, decode.d6.loss_dice: 0.7976, decode.d7.loss_cls: 0.3492, decode.d7.loss_mask: 0.5475, decode.d7.loss_dice: 0.7929, decode.d8.loss_cls: 0.3419, decode.d8.loss_mask: 0.5494, decode.d8.loss_dice: 0.7937, loss: 18.8398 2022-09-15 17:03:29,089 - mmseg - INFO - Iter [34250/80000] lr: 8.211e-07, eta: 1 day, 3:45:47, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3180, decode.loss_mask: 0.5228, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.8135, decode.d0.loss_mask: 0.5579, decode.d0.loss_dice: 0.8718, decode.d1.loss_cls: 0.4097, decode.d1.loss_mask: 0.5427, decode.d1.loss_dice: 0.8255, decode.d2.loss_cls: 0.3534, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.7946, decode.d3.loss_cls: 0.3408, decode.d3.loss_mask: 0.5300, decode.d3.loss_dice: 0.7768, decode.d4.loss_cls: 0.3324, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7717, decode.d5.loss_cls: 0.3218, decode.d5.loss_mask: 0.5249, decode.d5.loss_dice: 0.7682, decode.d6.loss_cls: 0.3165, decode.d6.loss_mask: 0.5227, decode.d6.loss_dice: 0.7679, decode.d7.loss_cls: 0.3084, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.7699, decode.d8.loss_cls: 0.3129, decode.d8.loss_mask: 0.5240, decode.d8.loss_dice: 0.7652, loss: 18.0176 2022-09-15 17:05:04,246 - mmseg - INFO - Iter [34300/80000] lr: 8.202e-07, eta: 1 day, 3:42:55, time: 1.903, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3257, decode.loss_mask: 0.5087, decode.loss_dice: 0.7668, decode.d0.loss_cls: 1.8811, decode.d0.loss_mask: 0.5356, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5341, decode.d1.loss_dice: 0.8304, decode.d2.loss_cls: 0.3641, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.7969, decode.d3.loss_cls: 0.3520, decode.d3.loss_mask: 0.5157, decode.d3.loss_dice: 0.7833, decode.d4.loss_cls: 0.3372, decode.d4.loss_mask: 0.5144, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.3322, decode.d5.loss_mask: 0.5122, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.3337, decode.d6.loss_mask: 0.5073, decode.d6.loss_dice: 0.7681, decode.d7.loss_cls: 0.3293, decode.d7.loss_mask: 0.5099, decode.d7.loss_dice: 0.7732, decode.d8.loss_cls: 0.3228, decode.d8.loss_mask: 0.5084, decode.d8.loss_dice: 0.7716, loss: 18.0809 2022-09-15 17:06:38,364 - mmseg - INFO - Iter [34350/80000] lr: 8.193e-07, eta: 1 day, 3:40:00, time: 1.882, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3064, decode.loss_mask: 0.5334, decode.loss_dice: 0.7603, decode.d0.loss_cls: 1.7977, decode.d0.loss_mask: 0.5632, decode.d0.loss_dice: 0.8578, decode.d1.loss_cls: 0.3903, decode.d1.loss_mask: 0.5554, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3357, decode.d2.loss_mask: 0.5399, decode.d2.loss_dice: 0.7760, decode.d3.loss_cls: 0.3269, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.7674, decode.d4.loss_cls: 0.3143, decode.d4.loss_mask: 0.5317, decode.d4.loss_dice: 0.7665, decode.d5.loss_cls: 0.3132, decode.d5.loss_mask: 0.5331, decode.d5.loss_dice: 0.7586, decode.d6.loss_cls: 0.3134, decode.d6.loss_mask: 0.5305, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5303, decode.d7.loss_dice: 0.7583, decode.d8.loss_cls: 0.3064, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7567, loss: 17.8552 2022-09-15 17:08:12,458 - mmseg - INFO - Iter [34400/80000] lr: 8.184e-07, eta: 1 day, 3:37:05, time: 1.882, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3374, decode.loss_mask: 0.5477, decode.loss_dice: 0.7845, decode.d0.loss_cls: 1.8126, decode.d0.loss_mask: 0.5870, decode.d0.loss_dice: 0.9093, decode.d1.loss_cls: 0.4099, decode.d1.loss_mask: 0.5795, decode.d1.loss_dice: 0.8522, decode.d2.loss_cls: 0.3676, decode.d2.loss_mask: 0.5610, decode.d2.loss_dice: 0.8111, decode.d3.loss_cls: 0.3553, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.7998, decode.d4.loss_cls: 0.3522, decode.d4.loss_mask: 0.5556, decode.d4.loss_dice: 0.7932, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5482, decode.d5.loss_dice: 0.7910, decode.d6.loss_cls: 0.3397, decode.d6.loss_mask: 0.5485, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.3328, decode.d7.loss_mask: 0.5503, decode.d7.loss_dice: 0.7882, decode.d8.loss_cls: 0.3395, decode.d8.loss_mask: 0.5481, decode.d8.loss_dice: 0.7884, loss: 18.6817 2022-09-15 17:09:46,593 - mmseg - INFO - Iter [34450/80000] lr: 8.175e-07, eta: 1 day, 3:34:11, time: 1.883, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3276, decode.loss_mask: 0.5119, decode.loss_dice: 0.7653, decode.d0.loss_cls: 1.8380, decode.d0.loss_mask: 0.5447, decode.d0.loss_dice: 0.8733, decode.d1.loss_cls: 0.4109, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8225, decode.d2.loss_cls: 0.3627, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7944, decode.d3.loss_cls: 0.3483, decode.d3.loss_mask: 0.5212, decode.d3.loss_dice: 0.7803, decode.d4.loss_cls: 0.3402, decode.d4.loss_mask: 0.5179, decode.d4.loss_dice: 0.7733, decode.d5.loss_cls: 0.3322, decode.d5.loss_mask: 0.5185, decode.d5.loss_dice: 0.7710, decode.d6.loss_cls: 0.3329, decode.d6.loss_mask: 0.5149, decode.d6.loss_dice: 0.7676, decode.d7.loss_cls: 0.3291, decode.d7.loss_mask: 0.5141, decode.d7.loss_dice: 0.7679, decode.d8.loss_cls: 0.3257, decode.d8.loss_mask: 0.5133, decode.d8.loss_dice: 0.7747, loss: 18.0557 2022-09-15 17:11:20,275 - mmseg - INFO - Iter [34500/80000] lr: 8.166e-07, eta: 1 day, 3:31:16, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3449, decode.loss_mask: 0.5571, decode.loss_dice: 0.7977, decode.d0.loss_cls: 1.8408, decode.d0.loss_mask: 0.5808, decode.d0.loss_dice: 0.9181, decode.d1.loss_cls: 0.4360, decode.d1.loss_mask: 0.5813, decode.d1.loss_dice: 0.8648, decode.d2.loss_cls: 0.3855, decode.d2.loss_mask: 0.5674, decode.d2.loss_dice: 0.8329, decode.d3.loss_cls: 0.3726, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8123, decode.d4.loss_cls: 0.3646, decode.d4.loss_mask: 0.5540, decode.d4.loss_dice: 0.8085, decode.d5.loss_cls: 0.3560, decode.d5.loss_mask: 0.5542, decode.d5.loss_dice: 0.8019, decode.d6.loss_cls: 0.3501, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.7961, decode.d7.loss_cls: 0.3446, decode.d7.loss_mask: 0.5556, decode.d7.loss_dice: 0.8019, decode.d8.loss_cls: 0.3459, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.7995, loss: 18.9957 2022-09-15 17:12:54,279 - mmseg - INFO - Iter [34550/80000] lr: 8.157e-07, eta: 1 day, 3:28:23, time: 1.880, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3297, decode.loss_mask: 0.5231, decode.loss_dice: 0.7872, decode.d0.loss_cls: 1.8524, decode.d0.loss_mask: 0.5489, decode.d0.loss_dice: 0.8946, decode.d1.loss_cls: 0.4220, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8500, decode.d2.loss_cls: 0.3720, decode.d2.loss_mask: 0.5365, decode.d2.loss_dice: 0.8198, decode.d3.loss_cls: 0.3568, decode.d3.loss_mask: 0.5293, decode.d3.loss_dice: 0.8055, decode.d4.loss_cls: 0.3444, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7988, decode.d5.loss_cls: 0.3377, decode.d5.loss_mask: 0.5278, decode.d5.loss_dice: 0.7930, decode.d6.loss_cls: 0.3355, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7906, decode.d7.loss_cls: 0.3393, decode.d7.loss_mask: 0.5225, decode.d7.loss_dice: 0.7869, decode.d8.loss_cls: 0.3329, decode.d8.loss_mask: 0.5234, decode.d8.loss_dice: 0.7851, loss: 18.4506 2022-09-15 17:14:28,883 - mmseg - INFO - Iter [34600/80000] lr: 8.148e-07, eta: 1 day, 3:25:33, time: 1.892, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3256, decode.loss_mask: 0.5409, decode.loss_dice: 0.7744, decode.d0.loss_cls: 1.8113, decode.d0.loss_mask: 0.5703, decode.d0.loss_dice: 0.8699, decode.d1.loss_cls: 0.4063, decode.d1.loss_mask: 0.5676, decode.d1.loss_dice: 0.8255, decode.d2.loss_cls: 0.3616, decode.d2.loss_mask: 0.5536, decode.d2.loss_dice: 0.8024, decode.d3.loss_cls: 0.3462, decode.d3.loss_mask: 0.5487, decode.d3.loss_dice: 0.7824, decode.d4.loss_cls: 0.3376, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.3320, decode.d5.loss_mask: 0.5443, decode.d5.loss_dice: 0.7783, decode.d6.loss_cls: 0.3362, decode.d6.loss_mask: 0.5374, decode.d6.loss_dice: 0.7703, decode.d7.loss_cls: 0.3291, decode.d7.loss_mask: 0.5402, decode.d7.loss_dice: 0.7732, decode.d8.loss_cls: 0.3253, decode.d8.loss_mask: 0.5384, decode.d8.loss_dice: 0.7765, loss: 18.3341 2022-09-15 17:16:02,361 - mmseg - INFO - Iter [34650/80000] lr: 8.139e-07, eta: 1 day, 3:22:40, time: 1.869, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3304, decode.loss_mask: 0.5509, decode.loss_dice: 0.7806, decode.d0.loss_cls: 1.8378, decode.d0.loss_mask: 0.5816, decode.d0.loss_dice: 0.8889, decode.d1.loss_cls: 0.4268, decode.d1.loss_mask: 0.5794, decode.d1.loss_dice: 0.8339, decode.d2.loss_cls: 0.3710, decode.d2.loss_mask: 0.5655, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3535, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.7969, decode.d4.loss_cls: 0.3454, decode.d4.loss_mask: 0.5537, decode.d4.loss_dice: 0.7899, decode.d5.loss_cls: 0.3374, decode.d5.loss_mask: 0.5512, decode.d5.loss_dice: 0.7887, decode.d6.loss_cls: 0.3365, decode.d6.loss_mask: 0.5501, decode.d6.loss_dice: 0.7770, decode.d7.loss_cls: 0.3309, decode.d7.loss_mask: 0.5464, decode.d7.loss_dice: 0.7772, decode.d8.loss_cls: 0.3367, decode.d8.loss_mask: 0.5469, decode.d8.loss_dice: 0.7787, loss: 18.6178 2022-09-15 17:17:35,610 - mmseg - INFO - Iter [34700/80000] lr: 8.130e-07, eta: 1 day, 3:19:46, time: 1.864, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3591, decode.loss_mask: 0.5471, decode.loss_dice: 0.8003, decode.d0.loss_cls: 1.8592, decode.d0.loss_mask: 0.5867, decode.d0.loss_dice: 0.9222, decode.d1.loss_cls: 0.4463, decode.d1.loss_mask: 0.5777, decode.d1.loss_dice: 0.8642, decode.d2.loss_cls: 0.4058, decode.d2.loss_mask: 0.5583, decode.d2.loss_dice: 0.8350, decode.d3.loss_cls: 0.3853, decode.d3.loss_mask: 0.5523, decode.d3.loss_dice: 0.8175, decode.d4.loss_cls: 0.3754, decode.d4.loss_mask: 0.5499, decode.d4.loss_dice: 0.8113, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.8065, decode.d6.loss_cls: 0.3617, decode.d6.loss_mask: 0.5476, decode.d6.loss_dice: 0.8031, decode.d7.loss_cls: 0.3629, decode.d7.loss_mask: 0.5487, decode.d7.loss_dice: 0.8011, decode.d8.loss_cls: 0.3609, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.8019, loss: 19.1070 2022-09-15 17:19:10,316 - mmseg - INFO - Iter [34750/80000] lr: 8.121e-07, eta: 1 day, 3:16:59, time: 1.895, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3508, decode.loss_mask: 0.5290, decode.loss_dice: 0.7982, decode.d0.loss_cls: 1.8614, decode.d0.loss_mask: 0.5574, decode.d0.loss_dice: 0.9106, decode.d1.loss_cls: 0.4286, decode.d1.loss_mask: 0.5531, decode.d1.loss_dice: 0.8654, decode.d2.loss_cls: 0.3808, decode.d2.loss_mask: 0.5430, decode.d2.loss_dice: 0.8311, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5364, decode.d3.loss_dice: 0.8119, decode.d4.loss_cls: 0.3606, decode.d4.loss_mask: 0.5332, decode.d4.loss_dice: 0.8088, decode.d5.loss_cls: 0.3510, decode.d5.loss_mask: 0.5329, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3496, decode.d6.loss_mask: 0.5304, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3473, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.8007, decode.d8.loss_cls: 0.3460, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.7999, loss: 18.7623 2022-09-15 17:20:43,801 - mmseg - INFO - Iter [34800/80000] lr: 8.112e-07, eta: 1 day, 3:14:07, time: 1.870, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3050, decode.loss_mask: 0.5380, decode.loss_dice: 0.7552, decode.d0.loss_cls: 1.8052, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3964, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8155, decode.d2.loss_cls: 0.3391, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.7810, decode.d3.loss_cls: 0.3284, decode.d3.loss_mask: 0.5422, decode.d3.loss_dice: 0.7688, decode.d4.loss_cls: 0.3218, decode.d4.loss_mask: 0.5422, decode.d4.loss_dice: 0.7629, decode.d5.loss_cls: 0.3157, decode.d5.loss_mask: 0.5398, decode.d5.loss_dice: 0.7665, decode.d6.loss_cls: 0.3092, decode.d6.loss_mask: 0.5367, decode.d6.loss_dice: 0.7598, decode.d7.loss_cls: 0.3059, decode.d7.loss_mask: 0.5357, decode.d7.loss_dice: 0.7611, decode.d8.loss_cls: 0.3029, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7620, loss: 17.9716 2022-09-15 17:22:18,824 - mmseg - INFO - Iter [34850/80000] lr: 8.103e-07, eta: 1 day, 3:11:23, time: 1.900, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3300, decode.loss_mask: 0.5375, decode.loss_dice: 0.7737, decode.d0.loss_cls: 1.8669, decode.d0.loss_mask: 0.5772, decode.d0.loss_dice: 0.8791, decode.d1.loss_cls: 0.4258, decode.d1.loss_mask: 0.5670, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3648, decode.d2.loss_mask: 0.5519, decode.d2.loss_dice: 0.8038, decode.d3.loss_cls: 0.3512, decode.d3.loss_mask: 0.5438, decode.d3.loss_dice: 0.7856, decode.d4.loss_cls: 0.3391, decode.d4.loss_mask: 0.5434, decode.d4.loss_dice: 0.7809, decode.d5.loss_cls: 0.3392, decode.d5.loss_mask: 0.5416, decode.d5.loss_dice: 0.7817, decode.d6.loss_cls: 0.3317, decode.d6.loss_mask: 0.5367, decode.d6.loss_dice: 0.7751, decode.d7.loss_cls: 0.3288, decode.d7.loss_mask: 0.5382, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.3272, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.7761, loss: 18.4489 2022-09-15 17:23:53,627 - mmseg - INFO - Iter [34900/80000] lr: 8.094e-07, eta: 1 day, 3:08:38, time: 1.896, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3516, decode.loss_mask: 0.5519, decode.loss_dice: 0.7923, decode.d0.loss_cls: 1.8329, decode.d0.loss_mask: 0.5850, decode.d0.loss_dice: 0.9048, decode.d1.loss_cls: 0.4287, decode.d1.loss_mask: 0.5803, decode.d1.loss_dice: 0.8543, decode.d2.loss_cls: 0.3822, decode.d2.loss_mask: 0.5679, decode.d2.loss_dice: 0.8244, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.8061, decode.d4.loss_cls: 0.3641, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8028, decode.d5.loss_cls: 0.3574, decode.d5.loss_mask: 0.5533, decode.d5.loss_dice: 0.7950, decode.d6.loss_cls: 0.3537, decode.d6.loss_mask: 0.5500, decode.d6.loss_dice: 0.7886, decode.d7.loss_cls: 0.3506, decode.d7.loss_mask: 0.5485, decode.d7.loss_dice: 0.7957, decode.d8.loss_cls: 0.3524, decode.d8.loss_mask: 0.5526, decode.d8.loss_dice: 0.7905, loss: 18.9052 2022-09-15 17:25:28,884 - mmseg - INFO - Iter [34950/80000] lr: 8.086e-07, eta: 1 day, 3:05:56, time: 1.905, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3510, decode.loss_mask: 0.5419, decode.loss_dice: 0.7977, decode.d0.loss_cls: 1.8133, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4320, decode.d1.loss_mask: 0.5685, decode.d1.loss_dice: 0.8568, decode.d2.loss_cls: 0.3846, decode.d2.loss_mask: 0.5531, decode.d2.loss_dice: 0.8362, decode.d3.loss_cls: 0.3764, decode.d3.loss_mask: 0.5502, decode.d3.loss_dice: 0.8178, decode.d4.loss_cls: 0.3598, decode.d4.loss_mask: 0.5443, decode.d4.loss_dice: 0.8126, decode.d5.loss_cls: 0.3502, decode.d5.loss_mask: 0.5450, decode.d5.loss_dice: 0.8086, decode.d6.loss_cls: 0.3502, decode.d6.loss_mask: 0.5436, decode.d6.loss_dice: 0.8028, decode.d7.loss_cls: 0.3506, decode.d7.loss_mask: 0.5442, decode.d7.loss_dice: 0.7999, decode.d8.loss_cls: 0.3429, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.8009, loss: 18.8680 2022-09-15 17:27:03,532 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-09-15 17:27:36,357 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 17:27:36,365 - mmseg - INFO - Iter [35000/80000] lr: 8.077e-07, eta: 1 day, 3:05:26, time: 2.547, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3243, decode.loss_mask: 0.5501, decode.loss_dice: 0.7838, decode.d0.loss_cls: 1.8119, decode.d0.loss_mask: 0.5748, decode.d0.loss_dice: 0.8863, decode.d1.loss_cls: 0.4106, decode.d1.loss_mask: 0.5735, decode.d1.loss_dice: 0.8369, decode.d2.loss_cls: 0.3618, decode.d2.loss_mask: 0.5601, decode.d2.loss_dice: 0.8080, decode.d3.loss_cls: 0.3491, decode.d3.loss_mask: 0.5508, decode.d3.loss_dice: 0.7878, decode.d4.loss_cls: 0.3361, decode.d4.loss_mask: 0.5522, decode.d4.loss_dice: 0.7890, decode.d5.loss_cls: 0.3325, decode.d5.loss_mask: 0.5452, decode.d5.loss_dice: 0.7813, decode.d6.loss_cls: 0.3272, decode.d6.loss_mask: 0.5470, decode.d6.loss_dice: 0.7788, decode.d7.loss_cls: 0.3251, decode.d7.loss_mask: 0.5488, decode.d7.loss_dice: 0.7786, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5490, decode.d8.loss_dice: 0.7824, loss: 18.4677 2022-09-15 17:29:11,304 - mmseg - INFO - Iter [35050/80000] lr: 8.068e-07, eta: 1 day, 3:02:43, time: 1.901, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3333, decode.loss_mask: 0.5238, decode.loss_dice: 0.7774, decode.d0.loss_cls: 1.8585, decode.d0.loss_mask: 0.5499, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.4185, decode.d1.loss_mask: 0.5473, decode.d1.loss_dice: 0.8404, decode.d2.loss_cls: 0.3594, decode.d2.loss_mask: 0.5380, decode.d2.loss_dice: 0.8092, decode.d3.loss_cls: 0.3529, decode.d3.loss_mask: 0.5311, decode.d3.loss_dice: 0.7951, decode.d4.loss_cls: 0.3491, decode.d4.loss_mask: 0.5280, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3401, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7849, decode.d6.loss_cls: 0.3374, decode.d6.loss_mask: 0.5235, decode.d6.loss_dice: 0.7721, decode.d7.loss_cls: 0.3331, decode.d7.loss_mask: 0.5259, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.3331, decode.d8.loss_mask: 0.5256, decode.d8.loss_dice: 0.7790, loss: 18.3305 2022-09-15 17:30:44,423 - mmseg - INFO - Iter [35100/80000] lr: 8.059e-07, eta: 1 day, 2:59:54, time: 1.862, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3387, decode.loss_mask: 0.5393, decode.loss_dice: 0.7802, decode.d0.loss_cls: 1.8294, decode.d0.loss_mask: 0.5704, decode.d0.loss_dice: 0.8995, decode.d1.loss_cls: 0.4309, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8446, decode.d2.loss_cls: 0.3858, decode.d2.loss_mask: 0.5548, decode.d2.loss_dice: 0.8084, decode.d3.loss_cls: 0.3596, decode.d3.loss_mask: 0.5485, decode.d3.loss_dice: 0.7982, decode.d4.loss_cls: 0.3525, decode.d4.loss_mask: 0.5431, decode.d4.loss_dice: 0.7954, decode.d5.loss_cls: 0.3458, decode.d5.loss_mask: 0.5423, decode.d5.loss_dice: 0.7916, decode.d6.loss_cls: 0.3408, decode.d6.loss_mask: 0.5394, decode.d6.loss_dice: 0.7833, decode.d7.loss_cls: 0.3417, decode.d7.loss_mask: 0.5416, decode.d7.loss_dice: 0.7839, decode.d8.loss_cls: 0.3376, decode.d8.loss_mask: 0.5427, decode.d8.loss_dice: 0.7877, loss: 18.6274 2022-09-15 17:32:18,227 - mmseg - INFO - Iter [35150/80000] lr: 8.050e-07, eta: 1 day, 2:57:07, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3502, decode.loss_mask: 0.5630, decode.loss_dice: 0.8079, decode.d0.loss_cls: 1.8582, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.9236, decode.d1.loss_cls: 0.4497, decode.d1.loss_mask: 0.5898, decode.d1.loss_dice: 0.8712, decode.d2.loss_cls: 0.3911, decode.d2.loss_mask: 0.5741, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3784, decode.d3.loss_mask: 0.5659, decode.d3.loss_dice: 0.8188, decode.d4.loss_cls: 0.3635, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8198, decode.d5.loss_cls: 0.3566, decode.d5.loss_mask: 0.5627, decode.d5.loss_dice: 0.8187, decode.d6.loss_cls: 0.3573, decode.d6.loss_mask: 0.5640, decode.d6.loss_dice: 0.8145, decode.d7.loss_cls: 0.3515, decode.d7.loss_mask: 0.5642, decode.d7.loss_dice: 0.8174, decode.d8.loss_cls: 0.3534, decode.d8.loss_mask: 0.5602, decode.d8.loss_dice: 0.8117, loss: 19.2537 2022-09-15 17:33:53,463 - mmseg - INFO - Iter [35200/80000] lr: 8.041e-07, eta: 1 day, 2:54:27, time: 1.907, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3391, decode.loss_mask: 0.5705, decode.loss_dice: 0.7832, decode.d0.loss_cls: 1.8072, decode.d0.loss_mask: 0.6029, decode.d0.loss_dice: 0.8865, decode.d1.loss_cls: 0.4145, decode.d1.loss_mask: 0.6063, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3703, decode.d2.loss_mask: 0.5822, decode.d2.loss_dice: 0.8112, decode.d3.loss_cls: 0.3536, decode.d3.loss_mask: 0.5806, decode.d3.loss_dice: 0.8012, decode.d4.loss_cls: 0.3452, decode.d4.loss_mask: 0.5814, decode.d4.loss_dice: 0.7972, decode.d5.loss_cls: 0.3419, decode.d5.loss_mask: 0.5761, decode.d5.loss_dice: 0.7912, decode.d6.loss_cls: 0.3429, decode.d6.loss_mask: 0.5709, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.3427, decode.d7.loss_mask: 0.5683, decode.d7.loss_dice: 0.7820, decode.d8.loss_cls: 0.3381, decode.d8.loss_mask: 0.5703, decode.d8.loss_dice: 0.7823, loss: 18.8642 2022-09-15 17:35:26,561 - mmseg - INFO - Iter [35250/80000] lr: 8.032e-07, eta: 1 day, 2:51:40, time: 1.862, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3465, decode.loss_mask: 0.5353, decode.loss_dice: 0.7740, decode.d0.loss_cls: 1.8355, decode.d0.loss_mask: 0.5639, decode.d0.loss_dice: 0.8888, decode.d1.loss_cls: 0.4279, decode.d1.loss_mask: 0.5644, decode.d1.loss_dice: 0.8447, decode.d2.loss_cls: 0.3826, decode.d2.loss_mask: 0.5488, decode.d2.loss_dice: 0.8085, decode.d3.loss_cls: 0.3724, decode.d3.loss_mask: 0.5415, decode.d3.loss_dice: 0.7845, decode.d4.loss_cls: 0.3606, decode.d4.loss_mask: 0.5377, decode.d4.loss_dice: 0.7854, decode.d5.loss_cls: 0.3555, decode.d5.loss_mask: 0.5353, decode.d5.loss_dice: 0.7848, decode.d6.loss_cls: 0.3498, decode.d6.loss_mask: 0.5339, decode.d6.loss_dice: 0.7726, decode.d7.loss_cls: 0.3465, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7756, decode.d8.loss_cls: 0.3461, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.7758, loss: 18.5509 2022-09-15 17:37:00,292 - mmseg - INFO - Iter [35300/80000] lr: 8.023e-07, eta: 1 day, 2:48:55, time: 1.873, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3362, decode.loss_mask: 0.5378, decode.loss_dice: 0.7726, decode.d0.loss_cls: 1.8452, decode.d0.loss_mask: 0.5727, decode.d0.loss_dice: 0.8874, decode.d1.loss_cls: 0.4214, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3695, decode.d2.loss_mask: 0.5474, decode.d2.loss_dice: 0.7951, decode.d3.loss_cls: 0.3534, decode.d3.loss_mask: 0.5473, decode.d3.loss_dice: 0.7859, decode.d4.loss_cls: 0.3457, decode.d4.loss_mask: 0.5422, decode.d4.loss_dice: 0.7791, decode.d5.loss_cls: 0.3393, decode.d5.loss_mask: 0.5416, decode.d5.loss_dice: 0.7770, decode.d6.loss_cls: 0.3399, decode.d6.loss_mask: 0.5384, decode.d6.loss_dice: 0.7717, decode.d7.loss_cls: 0.3372, decode.d7.loss_mask: 0.5387, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.3287, decode.d8.loss_mask: 0.5402, decode.d8.loss_dice: 0.7728, loss: 18.4295 2022-09-15 17:38:34,578 - mmseg - INFO - Iter [35350/80000] lr: 8.014e-07, eta: 1 day, 2:46:13, time: 1.886, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2956, decode.loss_mask: 0.5095, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.7766, decode.d0.loss_mask: 0.5457, decode.d0.loss_dice: 0.8540, decode.d1.loss_cls: 0.3702, decode.d1.loss_mask: 0.5368, decode.d1.loss_dice: 0.8120, decode.d2.loss_cls: 0.3351, decode.d2.loss_mask: 0.5258, decode.d2.loss_dice: 0.7847, decode.d3.loss_cls: 0.3183, decode.d3.loss_mask: 0.5162, decode.d3.loss_dice: 0.7668, decode.d4.loss_cls: 0.3077, decode.d4.loss_mask: 0.5150, decode.d4.loss_dice: 0.7632, decode.d5.loss_cls: 0.3103, decode.d5.loss_mask: 0.5125, decode.d5.loss_dice: 0.7575, decode.d6.loss_cls: 0.3004, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7519, decode.d7.loss_cls: 0.2992, decode.d7.loss_mask: 0.5113, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2973, decode.d8.loss_mask: 0.5097, decode.d8.loss_dice: 0.7552, loss: 17.5547 2022-09-15 17:40:10,920 - mmseg - INFO - Iter [35400/80000] lr: 8.005e-07, eta: 1 day, 2:43:40, time: 1.928, data_time: 0.068, memory: 47124, decode.loss_cls: 0.3251, decode.loss_mask: 0.5340, decode.loss_dice: 0.7864, decode.d0.loss_cls: 1.7772, decode.d0.loss_mask: 0.5590, decode.d0.loss_dice: 0.8849, decode.d1.loss_cls: 0.4114, decode.d1.loss_mask: 0.5557, decode.d1.loss_dice: 0.8398, decode.d2.loss_cls: 0.3636, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8187, decode.d3.loss_cls: 0.3506, decode.d3.loss_mask: 0.5379, decode.d3.loss_dice: 0.7986, decode.d4.loss_cls: 0.3376, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7977, decode.d5.loss_cls: 0.3306, decode.d5.loss_mask: 0.5368, decode.d5.loss_dice: 0.7907, decode.d6.loss_cls: 0.3281, decode.d6.loss_mask: 0.5334, decode.d6.loss_dice: 0.7875, decode.d7.loss_cls: 0.3253, decode.d7.loss_mask: 0.5325, decode.d7.loss_dice: 0.7872, decode.d8.loss_cls: 0.3240, decode.d8.loss_mask: 0.5310, decode.d8.loss_dice: 0.7861, loss: 18.3526 2022-09-15 17:41:46,330 - mmseg - INFO - Iter [35450/80000] lr: 7.996e-07, eta: 1 day, 2:41:03, time: 1.908, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3185, decode.loss_mask: 0.5411, decode.loss_dice: 0.7726, decode.d0.loss_cls: 1.7921, decode.d0.loss_mask: 0.5713, decode.d0.loss_dice: 0.8781, decode.d1.loss_cls: 0.4121, decode.d1.loss_mask: 0.5720, decode.d1.loss_dice: 0.8328, decode.d2.loss_cls: 0.3632, decode.d2.loss_mask: 0.5553, decode.d2.loss_dice: 0.7970, decode.d3.loss_cls: 0.3420, decode.d3.loss_mask: 0.5498, decode.d3.loss_dice: 0.7831, decode.d4.loss_cls: 0.3358, decode.d4.loss_mask: 0.5475, decode.d4.loss_dice: 0.7831, decode.d5.loss_cls: 0.3243, decode.d5.loss_mask: 0.5462, decode.d5.loss_dice: 0.7810, decode.d6.loss_cls: 0.3269, decode.d6.loss_mask: 0.5417, decode.d6.loss_dice: 0.7745, decode.d7.loss_cls: 0.3220, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.7728, decode.d8.loss_cls: 0.3209, decode.d8.loss_mask: 0.5413, decode.d8.loss_dice: 0.7760, loss: 18.3160 2022-09-15 17:43:20,805 - mmseg - INFO - Iter [35500/80000] lr: 7.987e-07, eta: 1 day, 2:38:24, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3407, decode.loss_mask: 0.5428, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.8521, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8915, decode.d1.loss_cls: 0.4258, decode.d1.loss_mask: 0.5693, decode.d1.loss_dice: 0.8414, decode.d2.loss_cls: 0.3813, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.8105, decode.d3.loss_cls: 0.3593, decode.d3.loss_mask: 0.5483, decode.d3.loss_dice: 0.7935, decode.d4.loss_cls: 0.3510, decode.d4.loss_mask: 0.5485, decode.d4.loss_dice: 0.7891, decode.d5.loss_cls: 0.3456, decode.d5.loss_mask: 0.5432, decode.d5.loss_dice: 0.7832, decode.d6.loss_cls: 0.3442, decode.d6.loss_mask: 0.5388, decode.d6.loss_dice: 0.7785, decode.d7.loss_cls: 0.3453, decode.d7.loss_mask: 0.5395, decode.d7.loss_dice: 0.7749, decode.d8.loss_cls: 0.3389, decode.d8.loss_mask: 0.5401, decode.d8.loss_dice: 0.7767, loss: 18.5928 2022-09-15 17:44:54,579 - mmseg - INFO - Iter [35550/80000] lr: 7.978e-07, eta: 1 day, 2:35:42, time: 1.875, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3425, decode.loss_mask: 0.5400, decode.loss_dice: 0.7828, decode.d0.loss_cls: 1.8340, decode.d0.loss_mask: 0.5712, decode.d0.loss_dice: 0.8942, decode.d1.loss_cls: 0.4247, decode.d1.loss_mask: 0.5648, decode.d1.loss_dice: 0.8531, decode.d2.loss_cls: 0.3703, decode.d2.loss_mask: 0.5523, decode.d2.loss_dice: 0.8152, decode.d3.loss_cls: 0.3596, decode.d3.loss_mask: 0.5469, decode.d3.loss_dice: 0.7978, decode.d4.loss_cls: 0.3503, decode.d4.loss_mask: 0.5425, decode.d4.loss_dice: 0.7961, decode.d5.loss_cls: 0.3457, decode.d5.loss_mask: 0.5413, decode.d5.loss_dice: 0.7877, decode.d6.loss_cls: 0.3459, decode.d6.loss_mask: 0.5376, decode.d6.loss_dice: 0.7815, decode.d7.loss_cls: 0.3408, decode.d7.loss_mask: 0.5369, decode.d7.loss_dice: 0.7860, decode.d8.loss_cls: 0.3392, decode.d8.loss_mask: 0.5370, decode.d8.loss_dice: 0.7829, loss: 18.6005 2022-09-15 17:46:29,856 - mmseg - INFO - Iter [35600/80000] lr: 7.969e-07, eta: 1 day, 2:33:07, time: 1.906, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3277, decode.loss_mask: 0.5194, decode.loss_dice: 0.7597, decode.d0.loss_cls: 1.8055, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.4001, decode.d1.loss_mask: 0.5386, decode.d1.loss_dice: 0.8188, decode.d2.loss_cls: 0.3637, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.7856, decode.d3.loss_cls: 0.3392, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7664, decode.d4.loss_cls: 0.3315, decode.d4.loss_mask: 0.5239, decode.d4.loss_dice: 0.7676, decode.d5.loss_cls: 0.3311, decode.d5.loss_mask: 0.5216, decode.d5.loss_dice: 0.7606, decode.d6.loss_cls: 0.3306, decode.d6.loss_mask: 0.5185, decode.d6.loss_dice: 0.7526, decode.d7.loss_cls: 0.3262, decode.d7.loss_mask: 0.5165, decode.d7.loss_dice: 0.7570, decode.d8.loss_cls: 0.3282, decode.d8.loss_mask: 0.5157, decode.d8.loss_dice: 0.7572, loss: 17.9314 2022-09-15 17:48:05,080 - mmseg - INFO - Iter [35650/80000] lr: 7.960e-07, eta: 1 day, 2:30:32, time: 1.904, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3313, decode.loss_mask: 0.5290, decode.loss_dice: 0.7616, decode.d0.loss_cls: 1.8011, decode.d0.loss_mask: 0.5616, decode.d0.loss_dice: 0.8807, decode.d1.loss_cls: 0.4152, decode.d1.loss_mask: 0.5572, decode.d1.loss_dice: 0.8299, decode.d2.loss_cls: 0.3629, decode.d2.loss_mask: 0.5468, decode.d2.loss_dice: 0.7926, decode.d3.loss_cls: 0.3472, decode.d3.loss_mask: 0.5403, decode.d3.loss_dice: 0.7776, decode.d4.loss_cls: 0.3375, decode.d4.loss_mask: 0.5351, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.3301, decode.d5.loss_mask: 0.5367, decode.d5.loss_dice: 0.7736, decode.d6.loss_cls: 0.3303, decode.d6.loss_mask: 0.5317, decode.d6.loss_dice: 0.7650, decode.d7.loss_cls: 0.3255, decode.d7.loss_mask: 0.5301, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.3294, decode.d8.loss_mask: 0.5287, decode.d8.loss_dice: 0.7599, loss: 18.1902 2022-09-15 17:49:40,502 - mmseg - INFO - Iter [35700/80000] lr: 7.951e-07, eta: 1 day, 2:27:59, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3186, decode.loss_mask: 0.5474, decode.loss_dice: 0.7715, decode.d0.loss_cls: 1.8257, decode.d0.loss_mask: 0.5831, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.4076, decode.d1.loss_mask: 0.5733, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3527, decode.d2.loss_mask: 0.5637, decode.d2.loss_dice: 0.8065, decode.d3.loss_cls: 0.3375, decode.d3.loss_mask: 0.5585, decode.d3.loss_dice: 0.7887, decode.d4.loss_cls: 0.3331, decode.d4.loss_mask: 0.5511, decode.d4.loss_dice: 0.7825, decode.d5.loss_cls: 0.3264, decode.d5.loss_mask: 0.5502, decode.d5.loss_dice: 0.7865, decode.d6.loss_cls: 0.3142, decode.d6.loss_mask: 0.5506, decode.d6.loss_dice: 0.7728, decode.d7.loss_cls: 0.3143, decode.d7.loss_mask: 0.5492, decode.d7.loss_dice: 0.7711, decode.d8.loss_cls: 0.3135, decode.d8.loss_mask: 0.5481, decode.d8.loss_dice: 0.7712, loss: 18.3814 2022-09-15 17:51:15,679 - mmseg - INFO - Iter [35750/80000] lr: 7.942e-07, eta: 1 day, 2:25:24, time: 1.903, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3295, decode.loss_mask: 0.5252, decode.loss_dice: 0.7729, decode.d0.loss_cls: 1.7949, decode.d0.loss_mask: 0.5590, decode.d0.loss_dice: 0.8960, decode.d1.loss_cls: 0.4172, decode.d1.loss_mask: 0.5545, decode.d1.loss_dice: 0.8376, decode.d2.loss_cls: 0.3624, decode.d2.loss_mask: 0.5363, decode.d2.loss_dice: 0.8108, decode.d3.loss_cls: 0.3477, decode.d3.loss_mask: 0.5307, decode.d3.loss_dice: 0.7872, decode.d4.loss_cls: 0.3363, decode.d4.loss_mask: 0.5267, decode.d4.loss_dice: 0.7892, decode.d5.loss_cls: 0.3345, decode.d5.loss_mask: 0.5229, decode.d5.loss_dice: 0.7846, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5238, decode.d6.loss_dice: 0.7713, decode.d7.loss_cls: 0.3361, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.3299, decode.d8.loss_mask: 0.5245, decode.d8.loss_dice: 0.7715, loss: 18.2508 2022-09-15 17:52:51,151 - mmseg - INFO - Iter [35800/80000] lr: 7.933e-07, eta: 1 day, 2:22:52, time: 1.910, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3238, decode.loss_mask: 0.5637, decode.loss_dice: 0.7890, decode.d0.loss_cls: 1.7803, decode.d0.loss_mask: 0.5896, decode.d0.loss_dice: 0.8909, decode.d1.loss_cls: 0.3998, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.8473, decode.d2.loss_cls: 0.3520, decode.d2.loss_mask: 0.5782, decode.d2.loss_dice: 0.8163, decode.d3.loss_cls: 0.3426, decode.d3.loss_mask: 0.5691, decode.d3.loss_dice: 0.7965, decode.d4.loss_cls: 0.3274, decode.d4.loss_mask: 0.5659, decode.d4.loss_dice: 0.7991, decode.d5.loss_cls: 0.3244, decode.d5.loss_mask: 0.5621, decode.d5.loss_dice: 0.7922, decode.d6.loss_cls: 0.3240, decode.d6.loss_mask: 0.5615, decode.d6.loss_dice: 0.7835, decode.d7.loss_cls: 0.3218, decode.d7.loss_mask: 0.5607, decode.d7.loss_dice: 0.7860, decode.d8.loss_cls: 0.3235, decode.d8.loss_mask: 0.5623, decode.d8.loss_dice: 0.7873, loss: 18.6102 2022-09-15 17:54:26,231 - mmseg - INFO - Iter [35850/80000] lr: 7.924e-07, eta: 1 day, 2:20:19, time: 1.902, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3128, decode.loss_mask: 0.5396, decode.loss_dice: 0.8065, decode.d0.loss_cls: 1.7998, decode.d0.loss_mask: 0.5769, decode.d0.loss_dice: 0.9133, decode.d1.loss_cls: 0.3987, decode.d1.loss_mask: 0.5637, decode.d1.loss_dice: 0.8670, decode.d2.loss_cls: 0.3572, decode.d2.loss_mask: 0.5502, decode.d2.loss_dice: 0.8353, decode.d3.loss_cls: 0.3376, decode.d3.loss_mask: 0.5450, decode.d3.loss_dice: 0.8180, decode.d4.loss_cls: 0.3304, decode.d4.loss_mask: 0.5422, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.3191, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.8074, decode.d6.loss_cls: 0.3185, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.7994, decode.d7.loss_cls: 0.3123, decode.d7.loss_mask: 0.5372, decode.d7.loss_dice: 0.7999, decode.d8.loss_cls: 0.3158, decode.d8.loss_mask: 0.5363, decode.d8.loss_dice: 0.8015, loss: 18.5330 2022-09-15 17:56:00,808 - mmseg - INFO - Iter [35900/80000] lr: 7.915e-07, eta: 1 day, 2:17:44, time: 1.891, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3495, decode.loss_mask: 0.5195, decode.loss_dice: 0.7757, decode.d0.loss_cls: 1.8922, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.9152, decode.d1.loss_cls: 0.4418, decode.d1.loss_mask: 0.5516, decode.d1.loss_dice: 0.8344, decode.d2.loss_cls: 0.3851, decode.d2.loss_mask: 0.5340, decode.d2.loss_dice: 0.8047, decode.d3.loss_cls: 0.3701, decode.d3.loss_mask: 0.5256, decode.d3.loss_dice: 0.7840, decode.d4.loss_cls: 0.3619, decode.d4.loss_mask: 0.5252, decode.d4.loss_dice: 0.7850, decode.d5.loss_cls: 0.3583, decode.d5.loss_mask: 0.5225, decode.d5.loss_dice: 0.7815, decode.d6.loss_cls: 0.3543, decode.d6.loss_mask: 0.5189, decode.d6.loss_dice: 0.7739, decode.d7.loss_cls: 0.3527, decode.d7.loss_mask: 0.5190, decode.d7.loss_dice: 0.7769, decode.d8.loss_cls: 0.3453, decode.d8.loss_mask: 0.5208, decode.d8.loss_dice: 0.7792, loss: 18.5197 2022-09-15 17:57:35,487 - mmseg - INFO - Iter [35950/80000] lr: 7.906e-07, eta: 1 day, 2:15:10, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3239, decode.loss_mask: 0.5360, decode.loss_dice: 0.7714, decode.d0.loss_cls: 1.7892, decode.d0.loss_mask: 0.5699, decode.d0.loss_dice: 0.8832, decode.d1.loss_cls: 0.4005, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8271, decode.d2.loss_cls: 0.3550, decode.d2.loss_mask: 0.5501, decode.d2.loss_dice: 0.8024, decode.d3.loss_cls: 0.3474, decode.d3.loss_mask: 0.5427, decode.d3.loss_dice: 0.7889, decode.d4.loss_cls: 0.3299, decode.d4.loss_mask: 0.5411, decode.d4.loss_dice: 0.7796, decode.d5.loss_cls: 0.3282, decode.d5.loss_mask: 0.5385, decode.d5.loss_dice: 0.7765, decode.d6.loss_cls: 0.3273, decode.d6.loss_mask: 0.5310, decode.d6.loss_dice: 0.7696, decode.d7.loss_cls: 0.3232, decode.d7.loss_mask: 0.5345, decode.d7.loss_dice: 0.7739, decode.d8.loss_cls: 0.3176, decode.d8.loss_mask: 0.5345, decode.d8.loss_dice: 0.7712, loss: 18.2257 2022-09-15 17:59:10,351 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-09-15 17:59:44,886 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 17:59:44,896 - mmseg - INFO - Iter [36000/80000] lr: 7.897e-07, eta: 1 day, 2:14:43, time: 2.586, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3260, decode.loss_mask: 0.5235, decode.loss_dice: 0.7683, decode.d0.loss_cls: 1.8322, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8869, decode.d1.loss_cls: 0.4080, decode.d1.loss_mask: 0.5506, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3604, decode.d2.loss_mask: 0.5336, decode.d2.loss_dice: 0.7969, decode.d3.loss_cls: 0.3438, decode.d3.loss_mask: 0.5286, decode.d3.loss_dice: 0.7885, decode.d4.loss_cls: 0.3367, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.3243, decode.d5.loss_mask: 0.5266, decode.d5.loss_dice: 0.7811, decode.d6.loss_cls: 0.3234, decode.d6.loss_mask: 0.5265, decode.d6.loss_dice: 0.7722, decode.d7.loss_cls: 0.3204, decode.d7.loss_mask: 0.5244, decode.d7.loss_dice: 0.7708, decode.d8.loss_cls: 0.3245, decode.d8.loss_mask: 0.5243, decode.d8.loss_dice: 0.7720, loss: 18.1701 2022-09-15 18:01:23,498 - mmseg - INFO - Iter [36050/80000] lr: 7.888e-07, eta: 1 day, 2:12:24, time: 1.975, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3254, decode.loss_mask: 0.5543, decode.loss_dice: 0.7959, decode.d0.loss_cls: 1.8167, decode.d0.loss_mask: 0.5778, decode.d0.loss_dice: 0.9037, decode.d1.loss_cls: 0.4054, decode.d1.loss_mask: 0.5816, decode.d1.loss_dice: 0.8601, decode.d2.loss_cls: 0.3571, decode.d2.loss_mask: 0.5744, decode.d2.loss_dice: 0.8325, decode.d3.loss_cls: 0.3422, decode.d3.loss_mask: 0.5693, decode.d3.loss_dice: 0.8163, decode.d4.loss_cls: 0.3342, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8107, decode.d5.loss_cls: 0.3291, decode.d5.loss_mask: 0.5618, decode.d5.loss_dice: 0.8060, decode.d6.loss_cls: 0.3297, decode.d6.loss_mask: 0.5587, decode.d6.loss_dice: 0.7972, decode.d7.loss_cls: 0.3268, decode.d7.loss_mask: 0.5565, decode.d7.loss_dice: 0.7973, decode.d8.loss_cls: 0.3261, decode.d8.loss_mask: 0.5539, decode.d8.loss_dice: 0.7962, loss: 18.7611 2022-09-15 18:02:58,000 - mmseg - INFO - Iter [36100/80000] lr: 7.879e-07, eta: 1 day, 2:09:51, time: 1.890, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3385, decode.loss_mask: 0.5255, decode.loss_dice: 0.7696, decode.d0.loss_cls: 1.7972, decode.d0.loss_mask: 0.5604, decode.d0.loss_dice: 0.8723, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8276, decode.d2.loss_cls: 0.3687, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.7939, decode.d3.loss_cls: 0.3503, decode.d3.loss_mask: 0.5327, decode.d3.loss_dice: 0.7782, decode.d4.loss_cls: 0.3410, decode.d4.loss_mask: 0.5300, decode.d4.loss_dice: 0.7805, decode.d5.loss_cls: 0.3371, decode.d5.loss_mask: 0.5279, decode.d5.loss_dice: 0.7789, decode.d6.loss_cls: 0.3380, decode.d6.loss_mask: 0.5253, decode.d6.loss_dice: 0.7677, decode.d7.loss_cls: 0.3356, decode.d7.loss_mask: 0.5223, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.3352, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.7738, loss: 18.2113 2022-09-15 18:04:32,540 - mmseg - INFO - Iter [36150/80000] lr: 7.870e-07, eta: 1 day, 2:07:17, time: 1.887, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3266, decode.loss_mask: 0.5245, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.8171, decode.d0.loss_mask: 0.5589, decode.d0.loss_dice: 0.8732, decode.d1.loss_cls: 0.4130, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3675, decode.d2.loss_mask: 0.5417, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3440, decode.d3.loss_mask: 0.5327, decode.d3.loss_dice: 0.7811, decode.d4.loss_cls: 0.3380, decode.d4.loss_mask: 0.5298, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.3326, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7784, decode.d6.loss_cls: 0.3296, decode.d6.loss_mask: 0.5272, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.3290, decode.d7.loss_mask: 0.5249, decode.d7.loss_dice: 0.7684, decode.d8.loss_cls: 0.3248, decode.d8.loss_mask: 0.5267, decode.d8.loss_dice: 0.7702, loss: 18.1905 2022-09-15 18:06:07,004 - mmseg - INFO - Iter [36200/80000] lr: 7.861e-07, eta: 1 day, 2:04:44, time: 1.893, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3070, decode.loss_mask: 0.5214, decode.loss_dice: 0.7679, decode.d0.loss_cls: 1.7995, decode.d0.loss_mask: 0.5509, decode.d0.loss_dice: 0.8673, decode.d1.loss_cls: 0.3947, decode.d1.loss_mask: 0.5477, decode.d1.loss_dice: 0.8176, decode.d2.loss_cls: 0.3361, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.7834, decode.d3.loss_cls: 0.3265, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7799, decode.d4.loss_cls: 0.3158, decode.d4.loss_mask: 0.5285, decode.d4.loss_dice: 0.7749, decode.d5.loss_cls: 0.3090, decode.d5.loss_mask: 0.5253, decode.d5.loss_dice: 0.7697, decode.d6.loss_cls: 0.3111, decode.d6.loss_mask: 0.5235, decode.d6.loss_dice: 0.7640, decode.d7.loss_cls: 0.3018, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.7686, decode.d8.loss_cls: 0.3038, decode.d8.loss_mask: 0.5243, decode.d8.loss_dice: 0.7676, loss: 17.8755 2022-09-15 18:07:40,148 - mmseg - INFO - Iter [36250/80000] lr: 7.852e-07, eta: 1 day, 2:02:07, time: 1.862, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3267, decode.loss_mask: 0.5351, decode.loss_dice: 0.7705, decode.d0.loss_cls: 1.7882, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8893, decode.d1.loss_cls: 0.4117, decode.d1.loss_mask: 0.5625, decode.d1.loss_dice: 0.8299, decode.d2.loss_cls: 0.3579, decode.d2.loss_mask: 0.5513, decode.d2.loss_dice: 0.8067, decode.d3.loss_cls: 0.3462, decode.d3.loss_mask: 0.5461, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.3328, decode.d4.loss_mask: 0.5420, decode.d4.loss_dice: 0.7816, decode.d5.loss_cls: 0.3261, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7808, decode.d6.loss_cls: 0.3282, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.7745, decode.d7.loss_cls: 0.3264, decode.d7.loss_mask: 0.5343, decode.d7.loss_dice: 0.7729, decode.d8.loss_cls: 0.3271, decode.d8.loss_mask: 0.5336, decode.d8.loss_dice: 0.7741, loss: 18.2822 2022-09-15 18:09:14,294 - mmseg - INFO - Iter [36300/80000] lr: 7.843e-07, eta: 1 day, 1:59:34, time: 1.884, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3169, decode.loss_mask: 0.5307, decode.loss_dice: 0.7687, decode.d0.loss_cls: 1.8310, decode.d0.loss_mask: 0.5663, decode.d0.loss_dice: 0.8870, decode.d1.loss_cls: 0.4009, decode.d1.loss_mask: 0.5543, decode.d1.loss_dice: 0.8308, decode.d2.loss_cls: 0.3531, decode.d2.loss_mask: 0.5413, decode.d2.loss_dice: 0.7989, decode.d3.loss_cls: 0.3397, decode.d3.loss_mask: 0.5408, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.3307, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.7824, decode.d5.loss_cls: 0.3250, decode.d5.loss_mask: 0.5361, decode.d5.loss_dice: 0.7821, decode.d6.loss_cls: 0.3205, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.7721, decode.d7.loss_cls: 0.3183, decode.d7.loss_mask: 0.5318, decode.d7.loss_dice: 0.7686, decode.d8.loss_cls: 0.3222, decode.d8.loss_mask: 0.5303, decode.d8.loss_dice: 0.7673, loss: 18.2007 2022-09-15 18:10:47,826 - mmseg - INFO - Iter [36350/80000] lr: 7.834e-07, eta: 1 day, 1:56:59, time: 1.871, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3469, decode.loss_mask: 0.5521, decode.loss_dice: 0.8041, decode.d0.loss_cls: 1.8754, decode.d0.loss_mask: 0.5836, decode.d0.loss_dice: 0.9215, decode.d1.loss_cls: 0.4401, decode.d1.loss_mask: 0.5788, decode.d1.loss_dice: 0.8657, decode.d2.loss_cls: 0.3841, decode.d2.loss_mask: 0.5653, decode.d2.loss_dice: 0.8348, decode.d3.loss_cls: 0.3735, decode.d3.loss_mask: 0.5602, decode.d3.loss_dice: 0.8154, decode.d4.loss_cls: 0.3606, decode.d4.loss_mask: 0.5576, decode.d4.loss_dice: 0.8168, decode.d5.loss_cls: 0.3529, decode.d5.loss_mask: 0.5547, decode.d5.loss_dice: 0.8099, decode.d6.loss_cls: 0.3565, decode.d6.loss_mask: 0.5507, decode.d6.loss_dice: 0.8033, decode.d7.loss_cls: 0.3528, decode.d7.loss_mask: 0.5510, decode.d7.loss_dice: 0.8041, decode.d8.loss_cls: 0.3528, decode.d8.loss_mask: 0.5548, decode.d8.loss_dice: 0.8009, loss: 19.0809 2022-09-15 18:12:21,972 - mmseg - INFO - Iter [36400/80000] lr: 7.825e-07, eta: 1 day, 1:54:27, time: 1.883, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3541, decode.loss_mask: 0.5257, decode.loss_dice: 0.7689, decode.d0.loss_cls: 1.8569, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8959, decode.d1.loss_cls: 0.4320, decode.d1.loss_mask: 0.5569, decode.d1.loss_dice: 0.8313, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.8117, decode.d3.loss_cls: 0.3763, decode.d3.loss_mask: 0.5338, decode.d3.loss_dice: 0.7905, decode.d4.loss_cls: 0.3709, decode.d4.loss_mask: 0.5295, decode.d4.loss_dice: 0.7860, decode.d5.loss_cls: 0.3601, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.7873, decode.d6.loss_cls: 0.3580, decode.d6.loss_mask: 0.5246, decode.d6.loss_dice: 0.7780, decode.d7.loss_cls: 0.3536, decode.d7.loss_mask: 0.5247, decode.d7.loss_dice: 0.7721, decode.d8.loss_cls: 0.3545, decode.d8.loss_mask: 0.5251, decode.d8.loss_dice: 0.7708, loss: 18.5422 2022-09-15 18:13:55,583 - mmseg - INFO - Iter [36450/80000] lr: 7.816e-07, eta: 1 day, 1:51:53, time: 1.872, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3269, decode.loss_mask: 0.5210, decode.loss_dice: 0.7701, decode.d0.loss_cls: 1.8223, decode.d0.loss_mask: 0.5454, decode.d0.loss_dice: 0.8811, decode.d1.loss_cls: 0.4117, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8277, decode.d2.loss_cls: 0.3604, decode.d2.loss_mask: 0.5401, decode.d2.loss_dice: 0.8000, decode.d3.loss_cls: 0.3468, decode.d3.loss_mask: 0.5339, decode.d3.loss_dice: 0.7869, decode.d4.loss_cls: 0.3369, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.7854, decode.d5.loss_cls: 0.3279, decode.d5.loss_mask: 0.5278, decode.d5.loss_dice: 0.7800, decode.d6.loss_cls: 0.3282, decode.d6.loss_mask: 0.5225, decode.d6.loss_dice: 0.7707, decode.d7.loss_cls: 0.3271, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7716, decode.d8.loss_cls: 0.3252, decode.d8.loss_mask: 0.5209, decode.d8.loss_dice: 0.7695, loss: 18.1642 2022-09-15 18:15:28,959 - mmseg - INFO - Iter [36500/80000] lr: 7.807e-07, eta: 1 day, 1:49:19, time: 1.868, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3430, decode.loss_mask: 0.5148, decode.loss_dice: 0.7635, decode.d0.loss_cls: 1.8106, decode.d0.loss_mask: 0.5450, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.4264, decode.d1.loss_mask: 0.5430, decode.d1.loss_dice: 0.8245, decode.d2.loss_cls: 0.3754, decode.d2.loss_mask: 0.5276, decode.d2.loss_dice: 0.7972, decode.d3.loss_cls: 0.3610, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7825, decode.d4.loss_cls: 0.3518, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7760, decode.d5.loss_cls: 0.3466, decode.d5.loss_mask: 0.5191, decode.d5.loss_dice: 0.7745, decode.d6.loss_cls: 0.3454, decode.d6.loss_mask: 0.5134, decode.d6.loss_dice: 0.7667, decode.d7.loss_cls: 0.3419, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7693, decode.d8.loss_cls: 0.3440, decode.d8.loss_mask: 0.5180, decode.d8.loss_dice: 0.7681, loss: 18.1910 2022-09-15 18:17:03,781 - mmseg - INFO - Iter [36550/80000] lr: 7.798e-07, eta: 1 day, 1:46:50, time: 1.896, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3150, decode.loss_mask: 0.5392, decode.loss_dice: 0.7809, decode.d0.loss_cls: 1.7997, decode.d0.loss_mask: 0.5739, decode.d0.loss_dice: 0.9009, decode.d1.loss_cls: 0.4070, decode.d1.loss_mask: 0.5697, decode.d1.loss_dice: 0.8526, decode.d2.loss_cls: 0.3521, decode.d2.loss_mask: 0.5541, decode.d2.loss_dice: 0.8143, decode.d3.loss_cls: 0.3396, decode.d3.loss_mask: 0.5469, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3328, decode.d4.loss_mask: 0.5450, decode.d4.loss_dice: 0.7957, decode.d5.loss_cls: 0.3250, decode.d5.loss_mask: 0.5431, decode.d5.loss_dice: 0.7893, decode.d6.loss_cls: 0.3211, decode.d6.loss_mask: 0.5426, decode.d6.loss_dice: 0.7899, decode.d7.loss_cls: 0.3182, decode.d7.loss_mask: 0.5417, decode.d7.loss_dice: 0.7860, decode.d8.loss_cls: 0.3186, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.7873, loss: 18.4207 2022-09-15 18:18:36,947 - mmseg - INFO - Iter [36600/80000] lr: 7.789e-07, eta: 1 day, 1:44:17, time: 1.863, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3351, decode.loss_mask: 0.5296, decode.loss_dice: 0.7932, decode.d0.loss_cls: 1.8514, decode.d0.loss_mask: 0.5543, decode.d0.loss_dice: 0.9015, decode.d1.loss_cls: 0.4190, decode.d1.loss_mask: 0.5522, decode.d1.loss_dice: 0.8523, decode.d2.loss_cls: 0.3740, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8162, decode.d3.loss_cls: 0.3555, decode.d3.loss_mask: 0.5341, decode.d3.loss_dice: 0.8071, decode.d4.loss_cls: 0.3475, decode.d4.loss_mask: 0.5306, decode.d4.loss_dice: 0.7980, decode.d5.loss_cls: 0.3361, decode.d5.loss_mask: 0.5297, decode.d5.loss_dice: 0.8002, decode.d6.loss_cls: 0.3338, decode.d6.loss_mask: 0.5276, decode.d6.loss_dice: 0.7949, decode.d7.loss_cls: 0.3352, decode.d7.loss_mask: 0.5275, decode.d7.loss_dice: 0.7939, decode.d8.loss_cls: 0.3301, decode.d8.loss_mask: 0.5270, decode.d8.loss_dice: 0.7987, loss: 18.5266 2022-09-15 18:20:13,746 - mmseg - INFO - Iter [36650/80000] lr: 7.780e-07, eta: 1 day, 1:41:56, time: 1.936, data_time: 0.062, memory: 47124, decode.loss_cls: 0.3245, decode.loss_mask: 0.5465, decode.loss_dice: 0.7847, decode.d0.loss_cls: 1.8310, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.9073, decode.d1.loss_cls: 0.4101, decode.d1.loss_mask: 0.5662, decode.d1.loss_dice: 0.8572, decode.d2.loss_cls: 0.3606, decode.d2.loss_mask: 0.5571, decode.d2.loss_dice: 0.8280, decode.d3.loss_cls: 0.3482, decode.d3.loss_mask: 0.5500, decode.d3.loss_dice: 0.8047, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5467, decode.d4.loss_dice: 0.8035, decode.d5.loss_cls: 0.3348, decode.d5.loss_mask: 0.5480, decode.d5.loss_dice: 0.7960, decode.d6.loss_cls: 0.3336, decode.d6.loss_mask: 0.5453, decode.d6.loss_dice: 0.7843, decode.d7.loss_cls: 0.3300, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.7854, decode.d8.loss_cls: 0.3283, decode.d8.loss_mask: 0.5459, decode.d8.loss_dice: 0.7839, loss: 18.5991 2022-09-15 18:21:48,068 - mmseg - INFO - Iter [36700/80000] lr: 7.771e-07, eta: 1 day, 1:39:27, time: 1.886, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3261, decode.loss_mask: 0.5162, decode.loss_dice: 0.7561, decode.d0.loss_cls: 1.8161, decode.d0.loss_mask: 0.5480, decode.d0.loss_dice: 0.8655, decode.d1.loss_cls: 0.4132, decode.d1.loss_mask: 0.5442, decode.d1.loss_dice: 0.8095, decode.d2.loss_cls: 0.3666, decode.d2.loss_mask: 0.5289, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.3445, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.7664, decode.d4.loss_cls: 0.3393, decode.d4.loss_mask: 0.5179, decode.d4.loss_dice: 0.7626, decode.d5.loss_cls: 0.3309, decode.d5.loss_mask: 0.5199, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.3308, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7511, decode.d7.loss_cls: 0.3221, decode.d7.loss_mask: 0.5165, decode.d7.loss_dice: 0.7580, decode.d8.loss_cls: 0.3270, decode.d8.loss_mask: 0.5148, decode.d8.loss_dice: 0.7566, loss: 17.9233 2022-09-15 18:23:21,917 - mmseg - INFO - Iter [36750/80000] lr: 7.762e-07, eta: 1 day, 1:36:57, time: 1.876, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3289, decode.loss_mask: 0.5283, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.8513, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8850, decode.d1.loss_cls: 0.4133, decode.d1.loss_mask: 0.5582, decode.d1.loss_dice: 0.8459, decode.d2.loss_cls: 0.3750, decode.d2.loss_mask: 0.5445, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3526, decode.d3.loss_mask: 0.5333, decode.d3.loss_dice: 0.7918, decode.d4.loss_cls: 0.3414, decode.d4.loss_mask: 0.5312, decode.d4.loss_dice: 0.7916, decode.d5.loss_cls: 0.3379, decode.d5.loss_mask: 0.5314, decode.d5.loss_dice: 0.7862, decode.d6.loss_cls: 0.3378, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7786, decode.d7.loss_cls: 0.3333, decode.d7.loss_mask: 0.5284, decode.d7.loss_dice: 0.7814, decode.d8.loss_cls: 0.3280, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.7827, loss: 18.4016 2022-09-15 18:24:56,127 - mmseg - INFO - Iter [36800/80000] lr: 7.753e-07, eta: 1 day, 1:34:28, time: 1.885, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3305, decode.loss_mask: 0.5238, decode.loss_dice: 0.7738, decode.d0.loss_cls: 1.8199, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.9029, decode.d1.loss_cls: 0.4272, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8424, decode.d2.loss_cls: 0.3710, decode.d2.loss_mask: 0.5337, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3514, decode.d3.loss_mask: 0.5281, decode.d3.loss_dice: 0.7892, decode.d4.loss_cls: 0.3414, decode.d4.loss_mask: 0.5244, decode.d4.loss_dice: 0.7889, decode.d5.loss_cls: 0.3311, decode.d5.loss_mask: 0.5223, decode.d5.loss_dice: 0.7832, decode.d6.loss_cls: 0.3312, decode.d6.loss_mask: 0.5236, decode.d6.loss_dice: 0.7736, decode.d7.loss_cls: 0.3344, decode.d7.loss_mask: 0.5223, decode.d7.loss_dice: 0.7707, decode.d8.loss_cls: 0.3281, decode.d8.loss_mask: 0.5239, decode.d8.loss_dice: 0.7782, loss: 18.2880 2022-09-15 18:26:29,468 - mmseg - INFO - Iter [36850/80000] lr: 7.745e-07, eta: 1 day, 1:31:57, time: 1.867, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3330, decode.loss_mask: 0.5183, decode.loss_dice: 0.7702, decode.d0.loss_cls: 1.8526, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8839, decode.d1.loss_cls: 0.4222, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.8324, decode.d2.loss_cls: 0.3666, decode.d2.loss_mask: 0.5295, decode.d2.loss_dice: 0.7995, decode.d3.loss_cls: 0.3607, decode.d3.loss_mask: 0.5211, decode.d3.loss_dice: 0.7782, decode.d4.loss_cls: 0.3474, decode.d4.loss_mask: 0.5206, decode.d4.loss_dice: 0.7776, decode.d5.loss_cls: 0.3394, decode.d5.loss_mask: 0.5202, decode.d5.loss_dice: 0.7763, decode.d6.loss_cls: 0.3374, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7713, decode.d7.loss_cls: 0.3319, decode.d7.loss_mask: 0.5204, decode.d7.loss_dice: 0.7737, decode.d8.loss_cls: 0.3350, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7687, loss: 18.2100 2022-09-15 18:28:04,492 - mmseg - INFO - Iter [36900/80000] lr: 7.736e-07, eta: 1 day, 1:29:33, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3235, decode.loss_mask: 0.5111, decode.loss_dice: 0.7754, decode.d0.loss_cls: 1.8419, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8886, decode.d1.loss_cls: 0.4192, decode.d1.loss_mask: 0.5358, decode.d1.loss_dice: 0.8380, decode.d2.loss_cls: 0.3667, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.8001, decode.d3.loss_cls: 0.3554, decode.d3.loss_mask: 0.5142, decode.d3.loss_dice: 0.7904, decode.d4.loss_cls: 0.3365, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7866, decode.d5.loss_cls: 0.3326, decode.d5.loss_mask: 0.5117, decode.d5.loss_dice: 0.7850, decode.d6.loss_cls: 0.3303, decode.d6.loss_mask: 0.5074, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3272, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7741, decode.d8.loss_cls: 0.3218, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7768, loss: 18.1145 2022-09-15 18:29:40,169 - mmseg - INFO - Iter [36950/80000] lr: 7.727e-07, eta: 1 day, 1:27:10, time: 1.914, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3329, decode.loss_mask: 0.5404, decode.loss_dice: 0.7680, decode.d0.loss_cls: 1.8203, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.4114, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8314, decode.d2.loss_cls: 0.3670, decode.d2.loss_mask: 0.5510, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3462, decode.d3.loss_mask: 0.5489, decode.d3.loss_dice: 0.7836, decode.d4.loss_cls: 0.3412, decode.d4.loss_mask: 0.5441, decode.d4.loss_dice: 0.7836, decode.d5.loss_cls: 0.3304, decode.d5.loss_mask: 0.5433, decode.d5.loss_dice: 0.7728, decode.d6.loss_cls: 0.3330, decode.d6.loss_mask: 0.5404, decode.d6.loss_dice: 0.7728, decode.d7.loss_cls: 0.3292, decode.d7.loss_mask: 0.5377, decode.d7.loss_dice: 0.7700, decode.d8.loss_cls: 0.3315, decode.d8.loss_mask: 0.5406, decode.d8.loss_dice: 0.7711, loss: 18.3476 2022-09-15 18:31:15,807 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-09-15 18:31:46,205 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 18:31:46,213 - mmseg - INFO - Iter [37000/80000] lr: 7.718e-07, eta: 1 day, 1:26:28, time: 2.518, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3176, decode.loss_mask: 0.5256, decode.loss_dice: 0.7547, decode.d0.loss_cls: 1.8060, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8709, decode.d1.loss_cls: 0.4052, decode.d1.loss_mask: 0.5551, decode.d1.loss_dice: 0.8263, decode.d2.loss_cls: 0.3627, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.7910, decode.d3.loss_cls: 0.3430, decode.d3.loss_mask: 0.5335, decode.d3.loss_dice: 0.7716, decode.d4.loss_cls: 0.3384, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.7686, decode.d5.loss_cls: 0.3348, decode.d5.loss_mask: 0.5262, decode.d5.loss_dice: 0.7620, decode.d6.loss_cls: 0.3291, decode.d6.loss_mask: 0.5251, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.3215, decode.d7.loss_mask: 0.5255, decode.d7.loss_dice: 0.7581, decode.d8.loss_cls: 0.3191, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7605, loss: 18.0334 2022-09-15 18:33:19,096 - mmseg - INFO - Iter [37050/80000] lr: 7.709e-07, eta: 1 day, 1:23:57, time: 1.860, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3278, decode.loss_mask: 0.5070, decode.loss_dice: 0.7461, decode.d0.loss_cls: 1.8608, decode.d0.loss_mask: 0.5348, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.4208, decode.d1.loss_mask: 0.5305, decode.d1.loss_dice: 0.8099, decode.d2.loss_cls: 0.3656, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7760, decode.d3.loss_cls: 0.3505, decode.d3.loss_mask: 0.5131, decode.d3.loss_dice: 0.7638, decode.d4.loss_cls: 0.3367, decode.d4.loss_mask: 0.5133, decode.d4.loss_dice: 0.7589, decode.d5.loss_cls: 0.3306, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7564, decode.d6.loss_cls: 0.3295, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7476, decode.d7.loss_cls: 0.3261, decode.d7.loss_mask: 0.5032, decode.d7.loss_dice: 0.7500, decode.d8.loss_cls: 0.3253, decode.d8.loss_mask: 0.5037, decode.d8.loss_dice: 0.7472, loss: 17.8211 2022-09-15 18:34:52,822 - mmseg - INFO - Iter [37100/80000] lr: 7.700e-07, eta: 1 day, 1:21:29, time: 1.873, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3355, decode.loss_mask: 0.5203, decode.loss_dice: 0.7826, decode.d0.loss_cls: 1.8610, decode.d0.loss_mask: 0.5622, decode.d0.loss_dice: 0.9095, decode.d1.loss_cls: 0.4255, decode.d1.loss_mask: 0.5489, decode.d1.loss_dice: 0.8489, decode.d2.loss_cls: 0.3752, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.8159, decode.d3.loss_cls: 0.3539, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7963, decode.d4.loss_cls: 0.3468, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7910, decode.d5.loss_cls: 0.3447, decode.d5.loss_mask: 0.5204, decode.d5.loss_dice: 0.7881, decode.d6.loss_cls: 0.3416, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7792, decode.d7.loss_cls: 0.3384, decode.d7.loss_mask: 0.5206, decode.d7.loss_dice: 0.7831, decode.d8.loss_cls: 0.3359, decode.d8.loss_mask: 0.5209, decode.d8.loss_dice: 0.7833, loss: 18.4220 2022-09-15 18:36:27,158 - mmseg - INFO - Iter [37150/80000] lr: 7.691e-07, eta: 1 day, 1:19:04, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3367, decode.loss_mask: 0.5190, decode.loss_dice: 0.7736, decode.d0.loss_cls: 1.8102, decode.d0.loss_mask: 0.5483, decode.d0.loss_dice: 0.8815, decode.d1.loss_cls: 0.4193, decode.d1.loss_mask: 0.5439, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3704, decode.d2.loss_mask: 0.5333, decode.d2.loss_dice: 0.8055, decode.d3.loss_cls: 0.3496, decode.d3.loss_mask: 0.5270, decode.d3.loss_dice: 0.7877, decode.d4.loss_cls: 0.3443, decode.d4.loss_mask: 0.5241, decode.d4.loss_dice: 0.7874, decode.d5.loss_cls: 0.3398, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7788, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5168, decode.d6.loss_dice: 0.7723, decode.d7.loss_cls: 0.3351, decode.d7.loss_mask: 0.5179, decode.d7.loss_dice: 0.7778, decode.d8.loss_cls: 0.3374, decode.d8.loss_mask: 0.5203, decode.d8.loss_dice: 0.7781, loss: 18.2251 2022-09-15 18:38:01,643 - mmseg - INFO - Iter [37200/80000] lr: 7.682e-07, eta: 1 day, 1:16:39, time: 1.889, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3214, decode.loss_mask: 0.5270, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.8081, decode.d0.loss_mask: 0.5633, decode.d0.loss_dice: 0.8862, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5589, decode.d1.loss_dice: 0.8360, decode.d2.loss_cls: 0.3508, decode.d2.loss_mask: 0.5421, decode.d2.loss_dice: 0.7975, decode.d3.loss_cls: 0.3407, decode.d3.loss_mask: 0.5345, decode.d3.loss_dice: 0.7782, decode.d4.loss_cls: 0.3329, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7736, decode.d5.loss_cls: 0.3295, decode.d5.loss_mask: 0.5307, decode.d5.loss_dice: 0.7742, decode.d6.loss_cls: 0.3200, decode.d6.loss_mask: 0.5285, decode.d6.loss_dice: 0.7675, decode.d7.loss_cls: 0.3202, decode.d7.loss_mask: 0.5245, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.3146, decode.d8.loss_mask: 0.5267, decode.d8.loss_dice: 0.7663, loss: 18.1117 2022-09-15 18:39:35,195 - mmseg - INFO - Iter [37250/80000] lr: 7.673e-07, eta: 1 day, 1:14:11, time: 1.871, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3158, decode.loss_mask: 0.5326, decode.loss_dice: 0.7791, decode.d0.loss_cls: 1.7815, decode.d0.loss_mask: 0.5640, decode.d0.loss_dice: 0.8865, decode.d1.loss_cls: 0.4061, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8344, decode.d2.loss_cls: 0.3517, decode.d2.loss_mask: 0.5457, decode.d2.loss_dice: 0.8036, decode.d3.loss_cls: 0.3392, decode.d3.loss_mask: 0.5403, decode.d3.loss_dice: 0.7949, decode.d4.loss_cls: 0.3212, decode.d4.loss_mask: 0.5363, decode.d4.loss_dice: 0.7900, decode.d5.loss_cls: 0.3178, decode.d5.loss_mask: 0.5319, decode.d5.loss_dice: 0.7836, decode.d6.loss_cls: 0.3190, decode.d6.loss_mask: 0.5319, decode.d6.loss_dice: 0.7772, decode.d7.loss_cls: 0.3171, decode.d7.loss_mask: 0.5339, decode.d7.loss_dice: 0.7803, decode.d8.loss_cls: 0.3154, decode.d8.loss_mask: 0.5308, decode.d8.loss_dice: 0.7792, loss: 18.1990 2022-09-15 18:41:08,380 - mmseg - INFO - Iter [37300/80000] lr: 7.664e-07, eta: 1 day, 1:11:43, time: 1.864, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3104, decode.loss_mask: 0.5456, decode.loss_dice: 0.7701, decode.d0.loss_cls: 1.7641, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.3895, decode.d1.loss_mask: 0.5838, decode.d1.loss_dice: 0.8333, decode.d2.loss_cls: 0.3420, decode.d2.loss_mask: 0.5651, decode.d2.loss_dice: 0.8043, decode.d3.loss_cls: 0.3277, decode.d3.loss_mask: 0.5552, decode.d3.loss_dice: 0.7879, decode.d4.loss_cls: 0.3253, decode.d4.loss_mask: 0.5526, decode.d4.loss_dice: 0.7822, decode.d5.loss_cls: 0.3151, decode.d5.loss_mask: 0.5545, decode.d5.loss_dice: 0.7809, decode.d6.loss_cls: 0.3114, decode.d6.loss_mask: 0.5484, decode.d6.loss_dice: 0.7736, decode.d7.loss_cls: 0.3139, decode.d7.loss_mask: 0.5483, decode.d7.loss_dice: 0.7747, decode.d8.loss_cls: 0.3064, decode.d8.loss_mask: 0.5492, decode.d8.loss_dice: 0.7759, loss: 18.2572 2022-09-15 18:42:42,076 - mmseg - INFO - Iter [37350/80000] lr: 7.655e-07, eta: 1 day, 1:09:17, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3409, decode.loss_mask: 0.5251, decode.loss_dice: 0.7788, decode.d0.loss_cls: 1.8101, decode.d0.loss_mask: 0.5579, decode.d0.loss_dice: 0.8944, decode.d1.loss_cls: 0.4153, decode.d1.loss_mask: 0.5523, decode.d1.loss_dice: 0.8368, decode.d2.loss_cls: 0.3749, decode.d2.loss_mask: 0.5364, decode.d2.loss_dice: 0.8073, decode.d3.loss_cls: 0.3567, decode.d3.loss_mask: 0.5326, decode.d3.loss_dice: 0.7993, decode.d4.loss_cls: 0.3434, decode.d4.loss_mask: 0.5310, decode.d4.loss_dice: 0.7936, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5300, decode.d5.loss_dice: 0.7835, decode.d6.loss_cls: 0.3454, decode.d6.loss_mask: 0.5254, decode.d6.loss_dice: 0.7858, decode.d7.loss_cls: 0.3370, decode.d7.loss_mask: 0.5305, decode.d7.loss_dice: 0.7865, decode.d8.loss_cls: 0.3387, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7833, loss: 18.4041 2022-09-15 18:44:16,519 - mmseg - INFO - Iter [37400/80000] lr: 7.646e-07, eta: 1 day, 1:06:53, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3327, decode.loss_mask: 0.5496, decode.loss_dice: 0.7660, decode.d0.loss_cls: 1.8005, decode.d0.loss_mask: 0.5919, decode.d0.loss_dice: 0.8835, decode.d1.loss_cls: 0.4089, decode.d1.loss_mask: 0.5869, decode.d1.loss_dice: 0.8311, decode.d2.loss_cls: 0.3657, decode.d2.loss_mask: 0.5687, decode.d2.loss_dice: 0.8049, decode.d3.loss_cls: 0.3566, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.7815, decode.d4.loss_cls: 0.3473, decode.d4.loss_mask: 0.5606, decode.d4.loss_dice: 0.7840, decode.d5.loss_cls: 0.3364, decode.d5.loss_mask: 0.5593, decode.d5.loss_dice: 0.7746, decode.d6.loss_cls: 0.3379, decode.d6.loss_mask: 0.5528, decode.d6.loss_dice: 0.7690, decode.d7.loss_cls: 0.3336, decode.d7.loss_mask: 0.5519, decode.d7.loss_dice: 0.7702, decode.d8.loss_cls: 0.3318, decode.d8.loss_mask: 0.5502, decode.d8.loss_dice: 0.7685, loss: 18.5205 2022-09-15 18:45:50,695 - mmseg - INFO - Iter [37450/80000] lr: 7.637e-07, eta: 1 day, 1:04:30, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3282, decode.loss_mask: 0.5206, decode.loss_dice: 0.7610, decode.d0.loss_cls: 1.8072, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8730, decode.d1.loss_cls: 0.4121, decode.d1.loss_mask: 0.5382, decode.d1.loss_dice: 0.8231, decode.d2.loss_cls: 0.3696, decode.d2.loss_mask: 0.5267, decode.d2.loss_dice: 0.7952, decode.d3.loss_cls: 0.3501, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.7756, decode.d4.loss_cls: 0.3389, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.7767, decode.d5.loss_cls: 0.3336, decode.d5.loss_mask: 0.5224, decode.d5.loss_dice: 0.7735, decode.d6.loss_cls: 0.3311, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.7646, decode.d7.loss_cls: 0.3265, decode.d7.loss_mask: 0.5194, decode.d7.loss_dice: 0.7632, decode.d8.loss_cls: 0.3274, decode.d8.loss_mask: 0.5192, decode.d8.loss_dice: 0.7624, loss: 18.0512 2022-09-15 18:47:24,461 - mmseg - INFO - Iter [37500/80000] lr: 7.628e-07, eta: 1 day, 1:02:05, time: 1.875, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3235, decode.loss_mask: 0.5263, decode.loss_dice: 0.7592, decode.d0.loss_cls: 1.7650, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8607, decode.d1.loss_cls: 0.4090, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8176, decode.d2.loss_cls: 0.3558, decode.d2.loss_mask: 0.5409, decode.d2.loss_dice: 0.7852, decode.d3.loss_cls: 0.3430, decode.d3.loss_mask: 0.5320, decode.d3.loss_dice: 0.7731, decode.d4.loss_cls: 0.3344, decode.d4.loss_mask: 0.5307, decode.d4.loss_dice: 0.7710, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5319, decode.d5.loss_dice: 0.7652, decode.d6.loss_cls: 0.3230, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.7642, decode.d7.loss_cls: 0.3174, decode.d7.loss_mask: 0.5302, decode.d7.loss_dice: 0.7654, decode.d8.loss_cls: 0.3188, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.7640, loss: 18.0008 2022-09-15 18:48:59,010 - mmseg - INFO - Iter [37550/80000] lr: 7.619e-07, eta: 1 day, 0:59:43, time: 1.891, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3263, decode.loss_mask: 0.5181, decode.loss_dice: 0.7599, decode.d0.loss_cls: 1.7961, decode.d0.loss_mask: 0.5515, decode.d0.loss_dice: 0.8706, decode.d1.loss_cls: 0.4068, decode.d1.loss_mask: 0.5489, decode.d1.loss_dice: 0.8149, decode.d2.loss_cls: 0.3700, decode.d2.loss_mask: 0.5263, decode.d2.loss_dice: 0.7836, decode.d3.loss_cls: 0.3497, decode.d3.loss_mask: 0.5235, decode.d3.loss_dice: 0.7774, decode.d4.loss_cls: 0.3403, decode.d4.loss_mask: 0.5220, decode.d4.loss_dice: 0.7733, decode.d5.loss_cls: 0.3298, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7680, decode.d6.loss_cls: 0.3251, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.3246, decode.d7.loss_mask: 0.5169, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.3263, decode.d8.loss_mask: 0.5167, decode.d8.loss_dice: 0.7647, loss: 18.0009 2022-09-15 18:50:32,517 - mmseg - INFO - Iter [37600/80000] lr: 7.610e-07, eta: 1 day, 0:57:18, time: 1.870, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3228, decode.loss_mask: 0.5325, decode.loss_dice: 0.7872, decode.d0.loss_cls: 1.8003, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.9025, decode.d1.loss_cls: 0.4169, decode.d1.loss_mask: 0.5571, decode.d1.loss_dice: 0.8389, decode.d2.loss_cls: 0.3609, decode.d2.loss_mask: 0.5431, decode.d2.loss_dice: 0.8148, decode.d3.loss_cls: 0.3411, decode.d3.loss_mask: 0.5425, decode.d3.loss_dice: 0.8044, decode.d4.loss_cls: 0.3335, decode.d4.loss_mask: 0.5346, decode.d4.loss_dice: 0.7982, decode.d5.loss_cls: 0.3216, decode.d5.loss_mask: 0.5373, decode.d5.loss_dice: 0.7894, decode.d6.loss_cls: 0.3214, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7871, decode.d7.loss_cls: 0.3175, decode.d7.loss_mask: 0.5354, decode.d7.loss_dice: 0.7916, decode.d8.loss_cls: 0.3234, decode.d8.loss_mask: 0.5352, decode.d8.loss_dice: 0.7861, loss: 18.3758 2022-09-15 18:52:06,143 - mmseg - INFO - Iter [37650/80000] lr: 7.601e-07, eta: 1 day, 0:54:54, time: 1.872, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3343, decode.loss_mask: 0.5288, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.8110, decode.d0.loss_mask: 0.5687, decode.d0.loss_dice: 0.8784, decode.d1.loss_cls: 0.4207, decode.d1.loss_mask: 0.5620, decode.d1.loss_dice: 0.8191, decode.d2.loss_cls: 0.3734, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.7887, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7773, decode.d4.loss_cls: 0.3459, decode.d4.loss_mask: 0.5323, decode.d4.loss_dice: 0.7725, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5339, decode.d5.loss_dice: 0.7671, decode.d6.loss_cls: 0.3385, decode.d6.loss_mask: 0.5304, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.3344, decode.d7.loss_mask: 0.5286, decode.d7.loss_dice: 0.7577, decode.d8.loss_cls: 0.3336, decode.d8.loss_mask: 0.5272, decode.d8.loss_dice: 0.7615, loss: 18.1998 2022-09-15 18:53:39,070 - mmseg - INFO - Iter [37700/80000] lr: 7.592e-07, eta: 1 day, 0:52:28, time: 1.859, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3185, decode.loss_mask: 0.5000, decode.loss_dice: 0.7430, decode.d0.loss_cls: 1.8016, decode.d0.loss_mask: 0.5275, decode.d0.loss_dice: 0.8537, decode.d1.loss_cls: 0.3938, decode.d1.loss_mask: 0.5329, decode.d1.loss_dice: 0.8122, decode.d2.loss_cls: 0.3435, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7754, decode.d3.loss_cls: 0.3315, decode.d3.loss_mask: 0.5122, decode.d3.loss_dice: 0.7659, decode.d4.loss_cls: 0.3246, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7626, decode.d5.loss_cls: 0.3233, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7554, decode.d6.loss_cls: 0.3179, decode.d6.loss_mask: 0.5060, decode.d6.loss_dice: 0.7514, decode.d7.loss_cls: 0.3163, decode.d7.loss_mask: 0.5048, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.3190, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7506, loss: 17.6309 2022-09-15 18:55:12,776 - mmseg - INFO - Iter [37750/80000] lr: 7.583e-07, eta: 1 day, 0:50:05, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3067, decode.loss_mask: 0.5296, decode.loss_dice: 0.7544, decode.d0.loss_cls: 1.7596, decode.d0.loss_mask: 0.5598, decode.d0.loss_dice: 0.8539, decode.d1.loss_cls: 0.3869, decode.d1.loss_mask: 0.5579, decode.d1.loss_dice: 0.7996, decode.d2.loss_cls: 0.3451, decode.d2.loss_mask: 0.5451, decode.d2.loss_dice: 0.7769, decode.d3.loss_cls: 0.3248, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.7626, decode.d4.loss_cls: 0.3168, decode.d4.loss_mask: 0.5356, decode.d4.loss_dice: 0.7642, decode.d5.loss_cls: 0.3147, decode.d5.loss_mask: 0.5326, decode.d5.loss_dice: 0.7612, decode.d6.loss_cls: 0.3131, decode.d6.loss_mask: 0.5326, decode.d6.loss_dice: 0.7564, decode.d7.loss_cls: 0.3068, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7556, decode.d8.loss_cls: 0.3098, decode.d8.loss_mask: 0.5301, decode.d8.loss_dice: 0.7523, loss: 17.8144 2022-09-15 18:56:46,398 - mmseg - INFO - Iter [37800/80000] lr: 7.574e-07, eta: 1 day, 0:47:41, time: 1.872, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3108, decode.loss_mask: 0.5326, decode.loss_dice: 0.7672, decode.d0.loss_cls: 1.7737, decode.d0.loss_mask: 0.5697, decode.d0.loss_dice: 0.8788, decode.d1.loss_cls: 0.3983, decode.d1.loss_mask: 0.5529, decode.d1.loss_dice: 0.8288, decode.d2.loss_cls: 0.3456, decode.d2.loss_mask: 0.5455, decode.d2.loss_dice: 0.7967, decode.d3.loss_cls: 0.3304, decode.d3.loss_mask: 0.5424, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.3187, decode.d4.loss_mask: 0.5357, decode.d4.loss_dice: 0.7815, decode.d5.loss_cls: 0.3105, decode.d5.loss_mask: 0.5356, decode.d5.loss_dice: 0.7790, decode.d6.loss_cls: 0.3160, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.3119, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.3112, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7689, loss: 18.0681 2022-09-15 18:58:20,600 - mmseg - INFO - Iter [37850/80000] lr: 7.565e-07, eta: 1 day, 0:45:21, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3169, decode.loss_mask: 0.5397, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.8075, decode.d0.loss_mask: 0.5702, decode.d0.loss_dice: 0.8689, decode.d1.loss_cls: 0.4085, decode.d1.loss_mask: 0.5625, decode.d1.loss_dice: 0.8189, decode.d2.loss_cls: 0.3556, decode.d2.loss_mask: 0.5514, decode.d2.loss_dice: 0.7860, decode.d3.loss_cls: 0.3347, decode.d3.loss_mask: 0.5455, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.3277, decode.d4.loss_mask: 0.5425, decode.d4.loss_dice: 0.7735, decode.d5.loss_cls: 0.3225, decode.d5.loss_mask: 0.5406, decode.d5.loss_dice: 0.7713, decode.d6.loss_cls: 0.3199, decode.d6.loss_mask: 0.5374, decode.d6.loss_dice: 0.7639, decode.d7.loss_cls: 0.3137, decode.d7.loss_mask: 0.5400, decode.d7.loss_dice: 0.7645, decode.d8.loss_cls: 0.3142, decode.d8.loss_mask: 0.5417, decode.d8.loss_dice: 0.7663, loss: 18.1495 2022-09-15 18:59:53,239 - mmseg - INFO - Iter [37900/80000] lr: 7.556e-07, eta: 1 day, 0:42:55, time: 1.852, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3131, decode.loss_mask: 0.5488, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.8024, decode.d0.loss_mask: 0.5723, decode.d0.loss_dice: 0.8803, decode.d1.loss_cls: 0.4045, decode.d1.loss_mask: 0.5738, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3562, decode.d2.loss_mask: 0.5575, decode.d2.loss_dice: 0.7983, decode.d3.loss_cls: 0.3428, decode.d3.loss_mask: 0.5533, decode.d3.loss_dice: 0.7875, decode.d4.loss_cls: 0.3316, decode.d4.loss_mask: 0.5488, decode.d4.loss_dice: 0.7824, decode.d5.loss_cls: 0.3185, decode.d5.loss_mask: 0.5507, decode.d5.loss_dice: 0.7782, decode.d6.loss_cls: 0.3193, decode.d6.loss_mask: 0.5511, decode.d6.loss_dice: 0.7739, decode.d7.loss_cls: 0.3154, decode.d7.loss_mask: 0.5487, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.3166, decode.d8.loss_mask: 0.5459, decode.d8.loss_dice: 0.7726, loss: 18.3278 2022-09-15 19:01:28,836 - mmseg - INFO - Iter [37950/80000] lr: 7.547e-07, eta: 1 day, 0:40:39, time: 1.912, data_time: 0.063, memory: 47124, decode.loss_cls: 0.3277, decode.loss_mask: 0.5396, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.8578, decode.d0.loss_mask: 0.5592, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.4130, decode.d1.loss_mask: 0.5621, decode.d1.loss_dice: 0.8341, decode.d2.loss_cls: 0.3649, decode.d2.loss_mask: 0.5568, decode.d2.loss_dice: 0.8103, decode.d3.loss_cls: 0.3466, decode.d3.loss_mask: 0.5476, decode.d3.loss_dice: 0.7976, decode.d4.loss_cls: 0.3446, decode.d4.loss_mask: 0.5428, decode.d4.loss_dice: 0.7930, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5430, decode.d5.loss_dice: 0.7942, decode.d6.loss_cls: 0.3364, decode.d6.loss_mask: 0.5406, decode.d6.loss_dice: 0.7821, decode.d7.loss_cls: 0.3289, decode.d7.loss_mask: 0.5414, decode.d7.loss_dice: 0.7870, decode.d8.loss_cls: 0.3294, decode.d8.loss_mask: 0.5363, decode.d8.loss_dice: 0.7763, loss: 18.4912 2022-09-15 19:03:02,710 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-09-15 19:03:37,842 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 19:03:37,852 - mmseg - INFO - Iter [38000/80000] lr: 7.538e-07, eta: 1 day, 0:40:03, time: 2.578, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2837, decode.loss_mask: 0.5009, decode.loss_dice: 0.7433, decode.d0.loss_cls: 1.7707, decode.d0.loss_mask: 0.5334, decode.d0.loss_dice: 0.8439, decode.d1.loss_cls: 0.3798, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8001, decode.d2.loss_cls: 0.3240, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7704, decode.d3.loss_cls: 0.3070, decode.d3.loss_mask: 0.5046, decode.d3.loss_dice: 0.7558, decode.d4.loss_cls: 0.2972, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7534, decode.d5.loss_cls: 0.2947, decode.d5.loss_mask: 0.5031, decode.d5.loss_dice: 0.7536, decode.d6.loss_cls: 0.2900, decode.d6.loss_mask: 0.5006, decode.d6.loss_dice: 0.7456, decode.d7.loss_cls: 0.2828, decode.d7.loss_mask: 0.5020, decode.d7.loss_dice: 0.7480, decode.d8.loss_cls: 0.2848, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7459, loss: 17.2564 2022-09-15 19:05:12,463 - mmseg - INFO - Iter [38050/80000] lr: 7.529e-07, eta: 1 day, 0:37:45, time: 1.895, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3233, decode.loss_mask: 0.5017, decode.loss_dice: 0.7443, decode.d0.loss_cls: 1.8501, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.8621, decode.d1.loss_cls: 0.4013, decode.d1.loss_mask: 0.5304, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3500, decode.d2.loss_mask: 0.5183, decode.d2.loss_dice: 0.7684, decode.d3.loss_cls: 0.3392, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7588, decode.d4.loss_cls: 0.3378, decode.d4.loss_mask: 0.5040, decode.d4.loss_dice: 0.7545, decode.d5.loss_cls: 0.3326, decode.d5.loss_mask: 0.5043, decode.d5.loss_dice: 0.7571, decode.d6.loss_cls: 0.3308, decode.d6.loss_mask: 0.5039, decode.d6.loss_dice: 0.7437, decode.d7.loss_cls: 0.3236, decode.d7.loss_mask: 0.5033, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.3223, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7507, loss: 17.7179 2022-09-15 19:06:47,001 - mmseg - INFO - Iter [38100/80000] lr: 7.520e-07, eta: 1 day, 0:35:26, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3408, decode.loss_mask: 0.5489, decode.loss_dice: 0.7908, decode.d0.loss_cls: 1.8285, decode.d0.loss_mask: 0.5894, decode.d0.loss_dice: 0.9066, decode.d1.loss_cls: 0.4287, decode.d1.loss_mask: 0.5808, decode.d1.loss_dice: 0.8531, decode.d2.loss_cls: 0.3787, decode.d2.loss_mask: 0.5685, decode.d2.loss_dice: 0.8246, decode.d3.loss_cls: 0.3647, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8094, decode.d4.loss_cls: 0.3572, decode.d4.loss_mask: 0.5519, decode.d4.loss_dice: 0.8028, decode.d5.loss_cls: 0.3457, decode.d5.loss_mask: 0.5522, decode.d5.loss_dice: 0.7974, decode.d6.loss_cls: 0.3461, decode.d6.loss_mask: 0.5516, decode.d6.loss_dice: 0.7903, decode.d7.loss_cls: 0.3422, decode.d7.loss_mask: 0.5508, decode.d7.loss_dice: 0.7919, decode.d8.loss_cls: 0.3411, decode.d8.loss_mask: 0.5487, decode.d8.loss_dice: 0.7924, loss: 18.8325 2022-09-15 19:08:21,172 - mmseg - INFO - Iter [38150/80000] lr: 7.511e-07, eta: 1 day, 0:33:06, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3174, decode.loss_mask: 0.5478, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.8312, decode.d0.loss_mask: 0.5809, decode.d0.loss_dice: 0.9005, decode.d1.loss_cls: 0.4105, decode.d1.loss_mask: 0.5776, decode.d1.loss_dice: 0.8494, decode.d2.loss_cls: 0.3661, decode.d2.loss_mask: 0.5591, decode.d2.loss_dice: 0.8119, decode.d3.loss_cls: 0.3455, decode.d3.loss_mask: 0.5562, decode.d3.loss_dice: 0.8017, decode.d4.loss_cls: 0.3350, decode.d4.loss_mask: 0.5551, decode.d4.loss_dice: 0.7949, decode.d5.loss_cls: 0.3265, decode.d5.loss_mask: 0.5537, decode.d5.loss_dice: 0.7947, decode.d6.loss_cls: 0.3200, decode.d6.loss_mask: 0.5500, decode.d6.loss_dice: 0.7897, decode.d7.loss_cls: 0.3158, decode.d7.loss_mask: 0.5491, decode.d7.loss_dice: 0.7909, decode.d8.loss_cls: 0.3180, decode.d8.loss_mask: 0.5485, decode.d8.loss_dice: 0.7869, loss: 18.5697 2022-09-15 19:09:55,505 - mmseg - INFO - Iter [38200/80000] lr: 7.502e-07, eta: 1 day, 0:30:48, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3019, decode.loss_mask: 0.5256, decode.loss_dice: 0.7482, decode.d0.loss_cls: 1.7758, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8525, decode.d1.loss_cls: 0.3917, decode.d1.loss_mask: 0.5461, decode.d1.loss_dice: 0.8018, decode.d2.loss_cls: 0.3359, decode.d2.loss_mask: 0.5335, decode.d2.loss_dice: 0.7773, decode.d3.loss_cls: 0.3270, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7636, decode.d4.loss_cls: 0.3166, decode.d4.loss_mask: 0.5287, decode.d4.loss_dice: 0.7598, decode.d5.loss_cls: 0.3085, decode.d5.loss_mask: 0.5247, decode.d5.loss_dice: 0.7506, decode.d6.loss_cls: 0.3036, decode.d6.loss_mask: 0.5218, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.3021, decode.d7.loss_mask: 0.5224, decode.d7.loss_dice: 0.7520, decode.d8.loss_cls: 0.3006, decode.d8.loss_mask: 0.5230, decode.d8.loss_dice: 0.7499, loss: 17.6807 2022-09-15 19:11:30,410 - mmseg - INFO - Iter [38250/80000] lr: 7.493e-07, eta: 1 day, 0:28:31, time: 1.898, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3122, decode.loss_mask: 0.5275, decode.loss_dice: 0.7727, decode.d0.loss_cls: 1.8130, decode.d0.loss_mask: 0.5526, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.3981, decode.d1.loss_mask: 0.5560, decode.d1.loss_dice: 0.8293, decode.d2.loss_cls: 0.3490, decode.d2.loss_mask: 0.5420, decode.d2.loss_dice: 0.8031, decode.d3.loss_cls: 0.3352, decode.d3.loss_mask: 0.5375, decode.d3.loss_dice: 0.7892, decode.d4.loss_cls: 0.3312, decode.d4.loss_mask: 0.5330, decode.d4.loss_dice: 0.7797, decode.d5.loss_cls: 0.3232, decode.d5.loss_mask: 0.5317, decode.d5.loss_dice: 0.7785, decode.d6.loss_cls: 0.3199, decode.d6.loss_mask: 0.5281, decode.d6.loss_dice: 0.7768, decode.d7.loss_cls: 0.3184, decode.d7.loss_mask: 0.5268, decode.d7.loss_dice: 0.7746, decode.d8.loss_cls: 0.3195, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7777, loss: 18.1452 2022-09-15 19:13:04,478 - mmseg - INFO - Iter [38300/80000] lr: 7.484e-07, eta: 1 day, 0:26:12, time: 1.881, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3085, decode.loss_mask: 0.5007, decode.loss_dice: 0.7555, decode.d0.loss_cls: 1.8136, decode.d0.loss_mask: 0.5359, decode.d0.loss_dice: 0.8752, decode.d1.loss_cls: 0.4040, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.8168, decode.d2.loss_cls: 0.3488, decode.d2.loss_mask: 0.5129, decode.d2.loss_dice: 0.7881, decode.d3.loss_cls: 0.3335, decode.d3.loss_mask: 0.5082, decode.d3.loss_dice: 0.7679, decode.d4.loss_cls: 0.3260, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.3206, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7617, decode.d6.loss_cls: 0.3190, decode.d6.loss_mask: 0.4976, decode.d6.loss_dice: 0.7524, decode.d7.loss_cls: 0.3183, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7597, decode.d8.loss_cls: 0.3124, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.7564, loss: 17.6878 2022-09-15 19:14:38,430 - mmseg - INFO - Iter [38350/80000] lr: 7.475e-07, eta: 1 day, 0:23:53, time: 1.877, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3244, decode.loss_mask: 0.5408, decode.loss_dice: 0.7739, decode.d0.loss_cls: 1.8057, decode.d0.loss_mask: 0.5763, decode.d0.loss_dice: 0.8875, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5705, decode.d1.loss_dice: 0.8379, decode.d2.loss_cls: 0.3611, decode.d2.loss_mask: 0.5596, decode.d2.loss_dice: 0.8121, decode.d3.loss_cls: 0.3457, decode.d3.loss_mask: 0.5480, decode.d3.loss_dice: 0.7921, decode.d4.loss_cls: 0.3314, decode.d4.loss_mask: 0.5485, decode.d4.loss_dice: 0.7877, decode.d5.loss_cls: 0.3274, decode.d5.loss_mask: 0.5416, decode.d5.loss_dice: 0.7832, decode.d6.loss_cls: 0.3278, decode.d6.loss_mask: 0.5431, decode.d6.loss_dice: 0.7831, decode.d7.loss_cls: 0.3225, decode.d7.loss_mask: 0.5438, decode.d7.loss_dice: 0.7756, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5442, decode.d8.loss_dice: 0.7822, loss: 18.4128 2022-09-15 19:16:11,725 - mmseg - INFO - Iter [38400/80000] lr: 7.466e-07, eta: 1 day, 0:21:33, time: 1.868, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3180, decode.loss_mask: 0.5364, decode.loss_dice: 0.7577, decode.d0.loss_cls: 1.8043, decode.d0.loss_mask: 0.5643, decode.d0.loss_dice: 0.8597, decode.d1.loss_cls: 0.3864, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8285, decode.d2.loss_cls: 0.3452, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.7974, decode.d3.loss_cls: 0.3314, decode.d3.loss_mask: 0.5474, decode.d3.loss_dice: 0.7786, decode.d4.loss_cls: 0.3300, decode.d4.loss_mask: 0.5412, decode.d4.loss_dice: 0.7752, decode.d5.loss_cls: 0.3188, decode.d5.loss_mask: 0.5407, decode.d5.loss_dice: 0.7697, decode.d6.loss_cls: 0.3236, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.7609, decode.d7.loss_cls: 0.3228, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.7570, decode.d8.loss_cls: 0.3180, decode.d8.loss_mask: 0.5366, decode.d8.loss_dice: 0.7592, loss: 18.0984 2022-09-15 19:17:45,792 - mmseg - INFO - Iter [38450/80000] lr: 7.457e-07, eta: 1 day, 0:19:14, time: 1.881, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3079, decode.loss_mask: 0.5283, decode.loss_dice: 0.7721, decode.d0.loss_cls: 1.7775, decode.d0.loss_mask: 0.5556, decode.d0.loss_dice: 0.8772, decode.d1.loss_cls: 0.3999, decode.d1.loss_mask: 0.5573, decode.d1.loss_dice: 0.8331, decode.d2.loss_cls: 0.3476, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.8064, decode.d3.loss_cls: 0.3317, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.7849, decode.d4.loss_cls: 0.3235, decode.d4.loss_mask: 0.5338, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.3159, decode.d5.loss_mask: 0.5317, decode.d5.loss_dice: 0.7771, decode.d6.loss_cls: 0.3108, decode.d6.loss_mask: 0.5285, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.3090, decode.d7.loss_mask: 0.5284, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.3083, decode.d8.loss_mask: 0.5309, decode.d8.loss_dice: 0.7741, loss: 18.0410 2022-09-15 19:19:19,776 - mmseg - INFO - Iter [38500/80000] lr: 7.448e-07, eta: 1 day, 0:16:57, time: 1.880, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3090, decode.loss_mask: 0.5235, decode.loss_dice: 0.7596, decode.d0.loss_cls: 1.7430, decode.d0.loss_mask: 0.5604, decode.d0.loss_dice: 0.8654, decode.d1.loss_cls: 0.3975, decode.d1.loss_mask: 0.5487, decode.d1.loss_dice: 0.8171, decode.d2.loss_cls: 0.3441, decode.d2.loss_mask: 0.5393, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.3240, decode.d3.loss_mask: 0.5329, decode.d3.loss_dice: 0.7787, decode.d4.loss_cls: 0.3124, decode.d4.loss_mask: 0.5290, decode.d4.loss_dice: 0.7750, decode.d5.loss_cls: 0.3092, decode.d5.loss_mask: 0.5283, decode.d5.loss_dice: 0.7679, decode.d6.loss_cls: 0.3136, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7585, decode.d7.loss_cls: 0.3098, decode.d7.loss_mask: 0.5215, decode.d7.loss_dice: 0.7608, decode.d8.loss_cls: 0.3053, decode.d8.loss_mask: 0.5234, decode.d8.loss_dice: 0.7611, loss: 17.8312 2022-09-15 19:20:53,469 - mmseg - INFO - Iter [38550/80000] lr: 7.439e-07, eta: 1 day, 0:14:38, time: 1.874, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3070, decode.loss_mask: 0.5326, decode.loss_dice: 0.7489, decode.d0.loss_cls: 1.7920, decode.d0.loss_mask: 0.5652, decode.d0.loss_dice: 0.8499, decode.d1.loss_cls: 0.3888, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.3467, decode.d2.loss_mask: 0.5467, decode.d2.loss_dice: 0.7777, decode.d3.loss_cls: 0.3264, decode.d3.loss_mask: 0.5429, decode.d3.loss_dice: 0.7641, decode.d4.loss_cls: 0.3173, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.7600, decode.d5.loss_cls: 0.3155, decode.d5.loss_mask: 0.5363, decode.d5.loss_dice: 0.7577, decode.d6.loss_cls: 0.3083, decode.d6.loss_mask: 0.5338, decode.d6.loss_dice: 0.7529, decode.d7.loss_cls: 0.3105, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7482, decode.d8.loss_cls: 0.3045, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.7504, loss: 17.8516 2022-09-15 19:22:26,634 - mmseg - INFO - Iter [38600/80000] lr: 7.430e-07, eta: 1 day, 0:12:19, time: 1.863, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3049, decode.loss_mask: 0.5299, decode.loss_dice: 0.7678, decode.d0.loss_cls: 1.7655, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8738, decode.d1.loss_cls: 0.3849, decode.d1.loss_mask: 0.5582, decode.d1.loss_dice: 0.8260, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5439, decode.d2.loss_dice: 0.7958, decode.d3.loss_cls: 0.3333, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.3224, decode.d4.loss_mask: 0.5342, decode.d4.loss_dice: 0.7791, decode.d5.loss_cls: 0.3179, decode.d5.loss_mask: 0.5308, decode.d5.loss_dice: 0.7735, decode.d6.loss_cls: 0.3164, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7685, decode.d7.loss_cls: 0.3104, decode.d7.loss_mask: 0.5302, decode.d7.loss_dice: 0.7637, decode.d8.loss_cls: 0.3069, decode.d8.loss_mask: 0.5309, decode.d8.loss_dice: 0.7704, loss: 17.9965 2022-09-15 19:24:00,171 - mmseg - INFO - Iter [38650/80000] lr: 7.421e-07, eta: 1 day, 0:10:00, time: 1.871, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3209, decode.loss_mask: 0.5121, decode.loss_dice: 0.7588, decode.d0.loss_cls: 1.8146, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8739, decode.d1.loss_cls: 0.4143, decode.d1.loss_mask: 0.5324, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3581, decode.d2.loss_mask: 0.5223, decode.d2.loss_dice: 0.7830, decode.d3.loss_cls: 0.3346, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7733, decode.d4.loss_cls: 0.3313, decode.d4.loss_mask: 0.5151, decode.d4.loss_dice: 0.7732, decode.d5.loss_cls: 0.3224, decode.d5.loss_mask: 0.5131, decode.d5.loss_dice: 0.7664, decode.d6.loss_cls: 0.3258, decode.d6.loss_mask: 0.5145, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.3166, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7571, decode.d8.loss_cls: 0.3179, decode.d8.loss_mask: 0.5131, decode.d8.loss_dice: 0.7591, loss: 17.8662 2022-09-15 19:25:33,687 - mmseg - INFO - Iter [38700/80000] lr: 7.412e-07, eta: 1 day, 0:07:42, time: 1.868, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3249, decode.loss_mask: 0.5296, decode.loss_dice: 0.7723, decode.d0.loss_cls: 1.8017, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8876, decode.d1.loss_cls: 0.4148, decode.d1.loss_mask: 0.5536, decode.d1.loss_dice: 0.8334, decode.d2.loss_cls: 0.3669, decode.d2.loss_mask: 0.5391, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3489, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7909, decode.d4.loss_cls: 0.3361, decode.d4.loss_mask: 0.5327, decode.d4.loss_dice: 0.7908, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5304, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.3285, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.3301, decode.d7.loss_mask: 0.5282, decode.d7.loss_dice: 0.7770, decode.d8.loss_cls: 0.3215, decode.d8.loss_mask: 0.5288, decode.d8.loss_dice: 0.7785, loss: 18.2692 2022-09-15 19:27:08,512 - mmseg - INFO - Iter [38750/80000] lr: 7.404e-07, eta: 1 day, 0:05:28, time: 1.899, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3173, decode.loss_mask: 0.5364, decode.loss_dice: 0.7740, decode.d0.loss_cls: 1.7722, decode.d0.loss_mask: 0.5721, decode.d0.loss_dice: 0.8911, decode.d1.loss_cls: 0.3952, decode.d1.loss_mask: 0.5562, decode.d1.loss_dice: 0.8303, decode.d2.loss_cls: 0.3412, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3306, decode.d3.loss_mask: 0.5409, decode.d3.loss_dice: 0.7917, decode.d4.loss_cls: 0.3262, decode.d4.loss_mask: 0.5398, decode.d4.loss_dice: 0.7864, decode.d5.loss_cls: 0.3230, decode.d5.loss_mask: 0.5356, decode.d5.loss_dice: 0.7791, decode.d6.loss_cls: 0.3175, decode.d6.loss_mask: 0.5339, decode.d6.loss_dice: 0.7765, decode.d7.loss_cls: 0.3182, decode.d7.loss_mask: 0.5355, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.3142, decode.d8.loss_mask: 0.5357, decode.d8.loss_dice: 0.7767, loss: 18.1793 2022-09-15 19:28:42,550 - mmseg - INFO - Iter [38800/80000] lr: 7.395e-07, eta: 1 day, 0:03:12, time: 1.881, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2870, decode.loss_mask: 0.5181, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.7450, decode.d0.loss_mask: 0.5445, decode.d0.loss_dice: 0.8510, decode.d1.loss_cls: 0.3717, decode.d1.loss_mask: 0.5467, decode.d1.loss_dice: 0.7975, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5320, decode.d2.loss_dice: 0.7684, decode.d3.loss_cls: 0.3059, decode.d3.loss_mask: 0.5294, decode.d3.loss_dice: 0.7616, decode.d4.loss_cls: 0.2994, decode.d4.loss_mask: 0.5231, decode.d4.loss_dice: 0.7530, decode.d5.loss_cls: 0.2972, decode.d5.loss_mask: 0.5215, decode.d5.loss_dice: 0.7438, decode.d6.loss_cls: 0.2929, decode.d6.loss_mask: 0.5212, decode.d6.loss_dice: 0.7420, decode.d7.loss_cls: 0.2879, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7454, decode.d8.loss_cls: 0.2884, decode.d8.loss_mask: 0.5197, decode.d8.loss_dice: 0.7405, loss: 17.4260 2022-09-15 19:30:15,598 - mmseg - INFO - Iter [38850/80000] lr: 7.386e-07, eta: 1 day, 0:00:54, time: 1.861, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3203, decode.loss_mask: 0.5379, decode.loss_dice: 0.7854, decode.d0.loss_cls: 1.7670, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8985, decode.d1.loss_cls: 0.3960, decode.d1.loss_mask: 0.5707, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3534, decode.d2.loss_mask: 0.5589, decode.d2.loss_dice: 0.8140, decode.d3.loss_cls: 0.3406, decode.d3.loss_mask: 0.5453, decode.d3.loss_dice: 0.8013, decode.d4.loss_cls: 0.3284, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.3208, decode.d5.loss_mask: 0.5415, decode.d5.loss_dice: 0.7945, decode.d6.loss_cls: 0.3206, decode.d6.loss_mask: 0.5400, decode.d6.loss_dice: 0.7879, decode.d7.loss_cls: 0.3179, decode.d7.loss_mask: 0.5382, decode.d7.loss_dice: 0.7896, decode.d8.loss_cls: 0.3181, decode.d8.loss_mask: 0.5374, decode.d8.loss_dice: 0.7869, loss: 18.3709 2022-09-15 19:31:50,074 - mmseg - INFO - Iter [38900/80000] lr: 7.377e-07, eta: 23:58:39, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3233, decode.loss_mask: 0.5249, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.8229, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8791, decode.d1.loss_cls: 0.4128, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8351, decode.d2.loss_cls: 0.3706, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.7999, decode.d3.loss_cls: 0.3423, decode.d3.loss_mask: 0.5297, decode.d3.loss_dice: 0.7833, decode.d4.loss_cls: 0.3375, decode.d4.loss_mask: 0.5268, decode.d4.loss_dice: 0.7756, decode.d5.loss_cls: 0.3259, decode.d5.loss_mask: 0.5264, decode.d5.loss_dice: 0.7852, decode.d6.loss_cls: 0.3236, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7770, decode.d7.loss_cls: 0.3215, decode.d7.loss_mask: 0.5266, decode.d7.loss_dice: 0.7750, decode.d8.loss_cls: 0.3213, decode.d8.loss_mask: 0.5259, decode.d8.loss_dice: 0.7723, loss: 18.1929 2022-09-15 19:33:24,421 - mmseg - INFO - Iter [38950/80000] lr: 7.368e-07, eta: 23:56:25, time: 1.889, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3013, decode.loss_mask: 0.5170, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.7915, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8668, decode.d1.loss_cls: 0.3850, decode.d1.loss_mask: 0.5468, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3436, decode.d2.loss_mask: 0.5294, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.3257, decode.d3.loss_mask: 0.5267, decode.d3.loss_dice: 0.7731, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.3106, decode.d5.loss_mask: 0.5168, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.3059, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7584, decode.d7.loss_cls: 0.3043, decode.d7.loss_mask: 0.5144, decode.d7.loss_dice: 0.7585, decode.d8.loss_cls: 0.3021, decode.d8.loss_mask: 0.5190, decode.d8.loss_dice: 0.7612, loss: 17.7402 2022-09-15 19:34:59,001 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-09-15 19:35:32,412 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 19:35:32,419 - mmseg - INFO - Iter [39000/80000] lr: 7.359e-07, eta: 23:55:43, time: 2.557, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3217, decode.loss_mask: 0.5121, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.8150, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8616, decode.d1.loss_cls: 0.4012, decode.d1.loss_mask: 0.5363, decode.d1.loss_dice: 0.8171, decode.d2.loss_cls: 0.3607, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7884, decode.d3.loss_cls: 0.3402, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7740, decode.d4.loss_cls: 0.3375, decode.d4.loss_mask: 0.5181, decode.d4.loss_dice: 0.7712, decode.d5.loss_cls: 0.3289, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7668, decode.d6.loss_cls: 0.3272, decode.d6.loss_mask: 0.5123, decode.d6.loss_dice: 0.7622, decode.d7.loss_cls: 0.3299, decode.d7.loss_mask: 0.5125, decode.d7.loss_dice: 0.7583, decode.d8.loss_cls: 0.3196, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7634, loss: 17.9132 2022-09-15 19:37:06,624 - mmseg - INFO - Iter [39050/80000] lr: 7.350e-07, eta: 23:53:29, time: 1.887, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3205, decode.loss_mask: 0.5382, decode.loss_dice: 0.7724, decode.d0.loss_cls: 1.8224, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.8914, decode.d1.loss_cls: 0.4029, decode.d1.loss_mask: 0.5653, decode.d1.loss_dice: 0.8298, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5542, decode.d2.loss_dice: 0.8090, decode.d3.loss_cls: 0.3378, decode.d3.loss_mask: 0.5452, decode.d3.loss_dice: 0.7864, decode.d4.loss_cls: 0.3294, decode.d4.loss_mask: 0.5406, decode.d4.loss_dice: 0.7866, decode.d5.loss_cls: 0.3291, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.7839, decode.d6.loss_cls: 0.3175, decode.d6.loss_mask: 0.5380, decode.d6.loss_dice: 0.7742, decode.d7.loss_cls: 0.3257, decode.d7.loss_mask: 0.5372, decode.d7.loss_dice: 0.7728, decode.d8.loss_cls: 0.3229, decode.d8.loss_mask: 0.5380, decode.d8.loss_dice: 0.7787, loss: 18.3131 2022-09-15 19:38:41,500 - mmseg - INFO - Iter [39100/80000] lr: 7.341e-07, eta: 23:51:16, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3130, decode.loss_mask: 0.5094, decode.loss_dice: 0.7525, decode.d0.loss_cls: 1.7506, decode.d0.loss_mask: 0.5321, decode.d0.loss_dice: 0.8592, decode.d1.loss_cls: 0.4065, decode.d1.loss_mask: 0.5300, decode.d1.loss_dice: 0.8084, decode.d2.loss_cls: 0.3516, decode.d2.loss_mask: 0.5183, decode.d2.loss_dice: 0.7827, decode.d3.loss_cls: 0.3347, decode.d3.loss_mask: 0.5158, decode.d3.loss_dice: 0.7664, decode.d4.loss_cls: 0.3259, decode.d4.loss_mask: 0.5118, decode.d4.loss_dice: 0.7639, decode.d5.loss_cls: 0.3156, decode.d5.loss_mask: 0.5117, decode.d5.loss_dice: 0.7642, decode.d6.loss_cls: 0.3236, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7586, decode.d7.loss_cls: 0.3164, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7537, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5091, decode.d8.loss_dice: 0.7593, loss: 17.6751 2022-09-15 19:40:14,800 - mmseg - INFO - Iter [39150/80000] lr: 7.332e-07, eta: 23:49:00, time: 1.866, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3168, decode.loss_mask: 0.5208, decode.loss_dice: 0.7947, decode.d0.loss_cls: 1.8123, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.9029, decode.d1.loss_cls: 0.4010, decode.d1.loss_mask: 0.5488, decode.d1.loss_dice: 0.8580, decode.d2.loss_cls: 0.3621, decode.d2.loss_mask: 0.5311, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3442, decode.d3.loss_mask: 0.5262, decode.d3.loss_dice: 0.8002, decode.d4.loss_cls: 0.3322, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.8033, decode.d5.loss_cls: 0.3259, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7966, decode.d6.loss_cls: 0.3177, decode.d6.loss_mask: 0.5192, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3212, decode.d7.loss_mask: 0.5205, decode.d7.loss_dice: 0.7932, decode.d8.loss_cls: 0.3146, decode.d8.loss_mask: 0.5200, decode.d8.loss_dice: 0.7933, loss: 18.2894 2022-09-15 19:41:51,182 - mmseg - INFO - Iter [39200/80000] lr: 7.323e-07, eta: 23:46:52, time: 1.928, data_time: 0.063, memory: 47124, decode.loss_cls: 0.2708, decode.loss_mask: 0.5209, decode.loss_dice: 0.7577, decode.d0.loss_cls: 1.6920, decode.d0.loss_mask: 0.5513, decode.d0.loss_dice: 0.8515, decode.d1.loss_cls: 0.3543, decode.d1.loss_mask: 0.5451, decode.d1.loss_dice: 0.7997, decode.d2.loss_cls: 0.3035, decode.d2.loss_mask: 0.5364, decode.d2.loss_dice: 0.7758, decode.d3.loss_cls: 0.2907, decode.d3.loss_mask: 0.5305, decode.d3.loss_dice: 0.7630, decode.d4.loss_cls: 0.2844, decode.d4.loss_mask: 0.5240, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.2748, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7625, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.5189, decode.d6.loss_dice: 0.7572, decode.d7.loss_cls: 0.2690, decode.d7.loss_mask: 0.5197, decode.d7.loss_dice: 0.7563, decode.d8.loss_cls: 0.2680, decode.d8.loss_mask: 0.5208, decode.d8.loss_dice: 0.7556, loss: 17.3113 2022-09-15 19:43:24,386 - mmseg - INFO - Iter [39250/80000] lr: 7.314e-07, eta: 23:44:35, time: 1.864, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3069, decode.loss_mask: 0.5243, decode.loss_dice: 0.7572, decode.d0.loss_cls: 1.7738, decode.d0.loss_mask: 0.5562, decode.d0.loss_dice: 0.8617, decode.d1.loss_cls: 0.3850, decode.d1.loss_mask: 0.5520, decode.d1.loss_dice: 0.8079, decode.d2.loss_cls: 0.3376, decode.d2.loss_mask: 0.5361, decode.d2.loss_dice: 0.7874, decode.d3.loss_cls: 0.3299, decode.d3.loss_mask: 0.5302, decode.d3.loss_dice: 0.7705, decode.d4.loss_cls: 0.3182, decode.d4.loss_mask: 0.5247, decode.d4.loss_dice: 0.7660, decode.d5.loss_cls: 0.3117, decode.d5.loss_mask: 0.5289, decode.d5.loss_dice: 0.7633, decode.d6.loss_cls: 0.3074, decode.d6.loss_mask: 0.5285, decode.d6.loss_dice: 0.7575, decode.d7.loss_cls: 0.3140, decode.d7.loss_mask: 0.5247, decode.d7.loss_dice: 0.7565, decode.d8.loss_cls: 0.3065, decode.d8.loss_mask: 0.5223, decode.d8.loss_dice: 0.7589, loss: 17.8056 2022-09-15 19:44:56,132 - mmseg - INFO - Iter [39300/80000] lr: 7.305e-07, eta: 23:42:16, time: 1.835, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2998, decode.loss_mask: 0.5317, decode.loss_dice: 0.7591, decode.d0.loss_cls: 1.8195, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3833, decode.d1.loss_mask: 0.5553, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.3370, decode.d2.loss_mask: 0.5447, decode.d2.loss_dice: 0.7821, decode.d3.loss_cls: 0.3183, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7689, decode.d4.loss_cls: 0.3132, decode.d4.loss_mask: 0.5350, decode.d4.loss_dice: 0.7651, decode.d5.loss_cls: 0.3076, decode.d5.loss_mask: 0.5347, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.3054, decode.d6.loss_mask: 0.5317, decode.d6.loss_dice: 0.7510, decode.d7.loss_cls: 0.3027, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7589, decode.d8.loss_cls: 0.3040, decode.d8.loss_mask: 0.5311, decode.d8.loss_dice: 0.7576, loss: 17.8578 2022-09-15 19:46:30,022 - mmseg - INFO - Iter [39350/80000] lr: 7.296e-07, eta: 23:40:02, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3034, decode.loss_mask: 0.5178, decode.loss_dice: 0.7474, decode.d0.loss_cls: 1.7865, decode.d0.loss_mask: 0.5510, decode.d0.loss_dice: 0.8617, decode.d1.loss_cls: 0.3836, decode.d1.loss_mask: 0.5461, decode.d1.loss_dice: 0.8113, decode.d2.loss_cls: 0.3402, decode.d2.loss_mask: 0.5283, decode.d2.loss_dice: 0.7838, decode.d3.loss_cls: 0.3198, decode.d3.loss_mask: 0.5256, decode.d3.loss_dice: 0.7693, decode.d4.loss_cls: 0.3176, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.7617, decode.d5.loss_cls: 0.3115, decode.d5.loss_mask: 0.5192, decode.d5.loss_dice: 0.7560, decode.d6.loss_cls: 0.3051, decode.d6.loss_mask: 0.5220, decode.d6.loss_dice: 0.7579, decode.d7.loss_cls: 0.3041, decode.d7.loss_mask: 0.5182, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.3021, decode.d8.loss_mask: 0.5201, decode.d8.loss_dice: 0.7548, loss: 17.7052 2022-09-15 19:48:03,753 - mmseg - INFO - Iter [39400/80000] lr: 7.287e-07, eta: 23:37:48, time: 1.875, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2917, decode.loss_mask: 0.5238, decode.loss_dice: 0.7305, decode.d0.loss_cls: 1.6995, decode.d0.loss_mask: 0.5584, decode.d0.loss_dice: 0.8421, decode.d1.loss_cls: 0.3687, decode.d1.loss_mask: 0.5485, decode.d1.loss_dice: 0.7912, decode.d2.loss_cls: 0.3255, decode.d2.loss_mask: 0.5386, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.3144, decode.d3.loss_mask: 0.5288, decode.d3.loss_dice: 0.7506, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5271, decode.d4.loss_dice: 0.7527, decode.d5.loss_cls: 0.2999, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7395, decode.d6.loss_cls: 0.2958, decode.d6.loss_mask: 0.5249, decode.d6.loss_dice: 0.7412, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7344, decode.d8.loss_cls: 0.2928, decode.d8.loss_mask: 0.5256, decode.d8.loss_dice: 0.7360, loss: 17.3950 2022-09-15 19:49:38,113 - mmseg - INFO - Iter [39450/80000] lr: 7.278e-07, eta: 23:35:35, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3395, decode.loss_mask: 0.5281, decode.loss_dice: 0.7643, decode.d0.loss_cls: 1.8603, decode.d0.loss_mask: 0.5595, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.4385, decode.d1.loss_mask: 0.5528, decode.d1.loss_dice: 0.8219, decode.d2.loss_cls: 0.3777, decode.d2.loss_mask: 0.5427, decode.d2.loss_dice: 0.7910, decode.d3.loss_cls: 0.3652, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.3520, decode.d4.loss_mask: 0.5346, decode.d4.loss_dice: 0.7729, decode.d5.loss_cls: 0.3474, decode.d5.loss_mask: 0.5325, decode.d5.loss_dice: 0.7689, decode.d6.loss_cls: 0.3373, decode.d6.loss_mask: 0.5285, decode.d6.loss_dice: 0.7641, decode.d7.loss_cls: 0.3391, decode.d7.loss_mask: 0.5272, decode.d7.loss_dice: 0.7694, decode.d8.loss_cls: 0.3369, decode.d8.loss_mask: 0.5287, decode.d8.loss_dice: 0.7675, loss: 18.3455 2022-09-15 19:51:11,063 - mmseg - INFO - Iter [39500/80000] lr: 7.269e-07, eta: 23:33:20, time: 1.861, data_time: 0.019, memory: 47124, decode.loss_cls: 0.3254, decode.loss_mask: 0.5451, decode.loss_dice: 0.7762, decode.d0.loss_cls: 1.7848, decode.d0.loss_mask: 0.5821, decode.d0.loss_dice: 0.8999, decode.d1.loss_cls: 0.4202, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8448, decode.d2.loss_cls: 0.3590, decode.d2.loss_mask: 0.5607, decode.d2.loss_dice: 0.8091, decode.d3.loss_cls: 0.3435, decode.d3.loss_mask: 0.5488, decode.d3.loss_dice: 0.7891, decode.d4.loss_cls: 0.3314, decode.d4.loss_mask: 0.5492, decode.d4.loss_dice: 0.7940, decode.d5.loss_cls: 0.3269, decode.d5.loss_mask: 0.5482, decode.d5.loss_dice: 0.7936, decode.d6.loss_cls: 0.3223, decode.d6.loss_mask: 0.5471, decode.d6.loss_dice: 0.7843, decode.d7.loss_cls: 0.3241, decode.d7.loss_mask: 0.5466, decode.d7.loss_dice: 0.7823, decode.d8.loss_cls: 0.3259, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.7812, loss: 18.4615 2022-09-15 19:52:45,484 - mmseg - INFO - Iter [39550/80000] lr: 7.260e-07, eta: 23:31:09, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3236, decode.loss_mask: 0.5190, decode.loss_dice: 0.7440, decode.d0.loss_cls: 1.8091, decode.d0.loss_mask: 0.5476, decode.d0.loss_dice: 0.8565, decode.d1.loss_cls: 0.4066, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3561, decode.d2.loss_mask: 0.5309, decode.d2.loss_dice: 0.7710, decode.d3.loss_cls: 0.3405, decode.d3.loss_mask: 0.5280, decode.d3.loss_dice: 0.7617, decode.d4.loss_cls: 0.3301, decode.d4.loss_mask: 0.5287, decode.d4.loss_dice: 0.7592, decode.d5.loss_cls: 0.3273, decode.d5.loss_mask: 0.5211, decode.d5.loss_dice: 0.7551, decode.d6.loss_cls: 0.3246, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7504, decode.d7.loss_cls: 0.3217, decode.d7.loss_mask: 0.5200, decode.d7.loss_dice: 0.7519, decode.d8.loss_cls: 0.3268, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7479, loss: 17.8431 2022-09-15 19:54:20,558 - mmseg - INFO - Iter [39600/80000] lr: 7.251e-07, eta: 23:28:59, time: 1.901, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2806, decode.loss_mask: 0.5365, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.7574, decode.d0.loss_mask: 0.5630, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3648, decode.d1.loss_mask: 0.5591, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3133, decode.d2.loss_mask: 0.5476, decode.d2.loss_dice: 0.7707, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.5421, decode.d3.loss_dice: 0.7573, decode.d4.loss_cls: 0.2918, decode.d4.loss_mask: 0.5388, decode.d4.loss_dice: 0.7532, decode.d5.loss_cls: 0.2870, decode.d5.loss_mask: 0.5391, decode.d5.loss_dice: 0.7435, decode.d6.loss_cls: 0.2849, decode.d6.loss_mask: 0.5377, decode.d6.loss_dice: 0.7399, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5376, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2763, decode.d8.loss_mask: 0.5381, decode.d8.loss_dice: 0.7444, loss: 17.4997 2022-09-15 19:55:54,439 - mmseg - INFO - Iter [39650/80000] lr: 7.242e-07, eta: 23:26:47, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3208, decode.loss_mask: 0.5306, decode.loss_dice: 0.7854, decode.d0.loss_cls: 1.7809, decode.d0.loss_mask: 0.5604, decode.d0.loss_dice: 0.8789, decode.d1.loss_cls: 0.4000, decode.d1.loss_mask: 0.5554, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3611, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8066, decode.d3.loss_cls: 0.3407, decode.d3.loss_mask: 0.5367, decode.d3.loss_dice: 0.7909, decode.d4.loss_cls: 0.3270, decode.d4.loss_mask: 0.5368, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.3237, decode.d5.loss_mask: 0.5336, decode.d5.loss_dice: 0.7893, decode.d6.loss_cls: 0.3237, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7817, decode.d7.loss_cls: 0.3193, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7878, decode.d8.loss_cls: 0.3206, decode.d8.loss_mask: 0.5328, decode.d8.loss_dice: 0.7851, loss: 18.2385 2022-09-15 19:57:28,207 - mmseg - INFO - Iter [39700/80000] lr: 7.233e-07, eta: 23:24:35, time: 1.875, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3228, decode.loss_mask: 0.5186, decode.loss_dice: 0.7670, decode.d0.loss_cls: 1.8019, decode.d0.loss_mask: 0.5457, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.4045, decode.d1.loss_mask: 0.5426, decode.d1.loss_dice: 0.8311, decode.d2.loss_cls: 0.3622, decode.d2.loss_mask: 0.5291, decode.d2.loss_dice: 0.7952, decode.d3.loss_cls: 0.3499, decode.d3.loss_mask: 0.5225, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.3370, decode.d4.loss_mask: 0.5200, decode.d4.loss_dice: 0.7793, decode.d5.loss_cls: 0.3271, decode.d5.loss_mask: 0.5202, decode.d5.loss_dice: 0.7742, decode.d6.loss_cls: 0.3285, decode.d6.loss_mask: 0.5182, decode.d6.loss_dice: 0.7689, decode.d7.loss_cls: 0.3225, decode.d7.loss_mask: 0.5194, decode.d7.loss_dice: 0.7701, decode.d8.loss_cls: 0.3256, decode.d8.loss_mask: 0.5169, decode.d8.loss_dice: 0.7698, loss: 18.0517 2022-09-15 19:59:00,807 - mmseg - INFO - Iter [39750/80000] lr: 7.224e-07, eta: 23:22:20, time: 1.852, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3177, decode.loss_mask: 0.5247, decode.loss_dice: 0.7750, decode.d0.loss_cls: 1.7837, decode.d0.loss_mask: 0.5653, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.4027, decode.d1.loss_mask: 0.5611, decode.d1.loss_dice: 0.8329, decode.d2.loss_cls: 0.3564, decode.d2.loss_mask: 0.5431, decode.d2.loss_dice: 0.8062, decode.d3.loss_cls: 0.3381, decode.d3.loss_mask: 0.5375, decode.d3.loss_dice: 0.7857, decode.d4.loss_cls: 0.3259, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.7864, decode.d5.loss_cls: 0.3233, decode.d5.loss_mask: 0.5300, decode.d5.loss_dice: 0.7798, decode.d6.loss_cls: 0.3208, decode.d6.loss_mask: 0.5255, decode.d6.loss_dice: 0.7734, decode.d7.loss_cls: 0.3163, decode.d7.loss_mask: 0.5270, decode.d7.loss_dice: 0.7738, decode.d8.loss_cls: 0.3164, decode.d8.loss_mask: 0.5269, decode.d8.loss_dice: 0.7775, loss: 18.1499 2022-09-15 20:00:34,999 - mmseg - INFO - Iter [39800/80000] lr: 7.215e-07, eta: 23:20:09, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3039, decode.loss_mask: 0.5216, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.7711, decode.d0.loss_mask: 0.5447, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.4056, decode.d1.loss_mask: 0.5382, decode.d1.loss_dice: 0.7986, decode.d2.loss_cls: 0.3463, decode.d2.loss_mask: 0.5292, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.3230, decode.d3.loss_mask: 0.5279, decode.d3.loss_dice: 0.7628, decode.d4.loss_cls: 0.3174, decode.d4.loss_mask: 0.5240, decode.d4.loss_dice: 0.7553, decode.d5.loss_cls: 0.3058, decode.d5.loss_mask: 0.5252, decode.d5.loss_dice: 0.7537, decode.d6.loss_cls: 0.3082, decode.d6.loss_mask: 0.5220, decode.d6.loss_dice: 0.7502, decode.d7.loss_cls: 0.3011, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7556, decode.d8.loss_cls: 0.3025, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7490, loss: 17.6697 2022-09-15 20:02:07,141 - mmseg - INFO - Iter [39850/80000] lr: 7.206e-07, eta: 23:17:53, time: 1.843, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3086, decode.loss_mask: 0.5300, decode.loss_dice: 0.7671, decode.d0.loss_cls: 1.7441, decode.d0.loss_mask: 0.5685, decode.d0.loss_dice: 0.8707, decode.d1.loss_cls: 0.3832, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8215, decode.d2.loss_cls: 0.3450, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.7890, decode.d3.loss_cls: 0.3229, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.3232, decode.d4.loss_mask: 0.5325, decode.d4.loss_dice: 0.7715, decode.d5.loss_cls: 0.3164, decode.d5.loss_mask: 0.5315, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.3141, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.3101, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.7622, decode.d8.loss_cls: 0.3110, decode.d8.loss_mask: 0.5278, decode.d8.loss_dice: 0.7612, loss: 17.9064 2022-09-15 20:03:40,424 - mmseg - INFO - Iter [39900/80000] lr: 7.197e-07, eta: 23:15:40, time: 1.865, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3116, decode.loss_mask: 0.5166, decode.loss_dice: 0.7538, decode.d0.loss_cls: 1.8161, decode.d0.loss_mask: 0.5489, decode.d0.loss_dice: 0.8604, decode.d1.loss_cls: 0.3978, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8078, decode.d2.loss_cls: 0.3457, decode.d2.loss_mask: 0.5308, decode.d2.loss_dice: 0.7816, decode.d3.loss_cls: 0.3259, decode.d3.loss_mask: 0.5225, decode.d3.loss_dice: 0.7711, decode.d4.loss_cls: 0.3175, decode.d4.loss_mask: 0.5192, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.3132, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7678, decode.d6.loss_cls: 0.3165, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7559, decode.d7.loss_cls: 0.3140, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7551, decode.d8.loss_cls: 0.3138, decode.d8.loss_mask: 0.5167, decode.d8.loss_dice: 0.7557, loss: 17.8031 2022-09-15 20:05:14,323 - mmseg - INFO - Iter [39950/80000] lr: 7.188e-07, eta: 23:13:30, time: 1.878, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3126, decode.loss_mask: 0.5038, decode.loss_dice: 0.7564, decode.d0.loss_cls: 1.7566, decode.d0.loss_mask: 0.5330, decode.d0.loss_dice: 0.8591, decode.d1.loss_cls: 0.3925, decode.d1.loss_mask: 0.5333, decode.d1.loss_dice: 0.8164, decode.d2.loss_cls: 0.3467, decode.d2.loss_mask: 0.5167, decode.d2.loss_dice: 0.7842, decode.d3.loss_cls: 0.3293, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7700, decode.d4.loss_cls: 0.3191, decode.d4.loss_mask: 0.5091, decode.d4.loss_dice: 0.7644, decode.d5.loss_cls: 0.3195, decode.d5.loss_mask: 0.5071, decode.d5.loss_dice: 0.7628, decode.d6.loss_cls: 0.3166, decode.d6.loss_mask: 0.5039, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.3104, decode.d7.loss_mask: 0.5029, decode.d7.loss_dice: 0.7575, decode.d8.loss_cls: 0.3088, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7573, loss: 17.6242 2022-09-15 20:06:47,627 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-09-15 20:07:22,082 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 20:07:22,089 - mmseg - INFO - Iter [40000/80000] lr: 7.179e-07, eta: 23:12:43, time: 2.553, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3032, decode.loss_mask: 0.5203, decode.loss_dice: 0.7663, decode.d0.loss_cls: 1.7974, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8758, decode.d1.loss_cls: 0.3975, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8283, decode.d2.loss_cls: 0.3553, decode.d2.loss_mask: 0.5304, decode.d2.loss_dice: 0.7978, decode.d3.loss_cls: 0.3303, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7850, decode.d4.loss_cls: 0.3154, decode.d4.loss_mask: 0.5270, decode.d4.loss_dice: 0.7846, decode.d5.loss_cls: 0.3115, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7749, decode.d6.loss_cls: 0.3177, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7665, decode.d7.loss_cls: 0.3113, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7701, decode.d8.loss_cls: 0.3047, decode.d8.loss_mask: 0.5231, decode.d8.loss_dice: 0.7732, loss: 17.9408 2022-09-15 20:09:15,109 - mmseg - INFO - per class results: 2022-09-15 20:09:15,121 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.58 | 89.39 | | building | 84.7 | 91.17 | | sky | 95.11 | 97.67 | | floor | 85.57 | 90.15 | | tree | 78.65 | 90.23 | | ceiling | 87.76 | 93.54 | | road | 87.36 | 91.75 | | bed | 93.82 | 97.11 | | windowpane | 67.27 | 79.31 | | grass | 72.93 | 92.03 | | cabinet | 65.28 | 77.7 | | sidewalk | 71.69 | 86.64 | | person | 88.08 | 93.86 | | earth | 40.71 | 52.01 | | door | 62.44 | 79.44 | | table | 70.21 | 79.56 | | mountain | 63.64 | 76.1 | | plant | 56.69 | 70.0 | | curtain | 77.9 | 90.84 | | chair | 67.46 | 77.86 | | car | 89.84 | 93.98 | | water | 63.05 | 80.28 | | painting | 80.4 | 93.75 | | sofa | 84.24 | 92.69 | | shelf | 48.91 | 63.69 | | house | 46.75 | 70.84 | | sea | 66.07 | 84.73 | | mirror | 78.63 | 90.82 | | rug | 69.07 | 87.27 | | field | 32.89 | 47.27 | | armchair | 58.22 | 75.46 | | seat | 67.15 | 92.16 | | fence | 50.49 | 70.29 | | desk | 58.21 | 80.43 | | rock | 55.58 | 69.49 | | wardrobe | 65.11 | 73.37 | | lamp | 78.31 | 88.8 | | bathtub | 92.43 | 94.25 | | railing | 43.62 | 57.54 | | cushion | 70.74 | 80.45 | | base | 47.29 | 69.66 | | box | 42.76 | 57.39 | | column | 60.51 | 68.77 | | signboard | 41.27 | 66.77 | | chest of drawers | 36.44 | 70.33 | | counter | 38.69 | 50.04 | | sand | 58.13 | 86.17 | | sink | 84.89 | 89.47 | | skyscraper | 42.29 | 53.19 | | fireplace | 78.27 | 92.91 | | refrigerator | 86.8 | 93.58 | | grandstand | 53.02 | 83.37 | | path | 19.5 | 22.55 | | stairs | 37.92 | 51.63 | | runway | 73.94 | 93.18 | | case | 71.13 | 89.93 | | pool table | 95.38 | 97.84 | | pillow | 69.12 | 83.01 | | screen door | 79.57 | 95.62 | | stairway | 57.11 | 70.68 | | river | 17.78 | 20.76 | | bridge | 59.62 | 66.6 | | bookcase | 33.48 | 56.8 | | blind | 48.7 | 62.08 | | coffee table | 62.13 | 90.08 | | toilet | 92.07 | 94.92 | | flower | 58.15 | 68.64 | | book | 60.42 | 83.54 | | hill | 5.34 | 10.92 | | bench | 72.14 | 84.79 | | countertop | 73.08 | 92.2 | | stove | 86.91 | 92.41 | | palm | 56.96 | 81.19 | | kitchen island | 43.45 | 80.1 | | computer | 83.38 | 89.38 | | swivel chair | 52.81 | 76.18 | | boat | 61.76 | 93.47 | | bar | 62.21 | 79.4 | | arcade machine | 82.05 | 89.27 | | hovel | 36.66 | 39.68 | | bus | 93.58 | 96.56 | | towel | 78.16 | 90.72 | | light | 65.99 | 80.31 | | truck | 52.05 | 77.71 | | tower | 36.22 | 63.33 | | chandelier | 75.46 | 88.59 | | awning | 33.45 | 51.64 | | streetlight | 50.4 | 69.51 | | booth | 53.03 | 70.1 | | television receiver | 85.55 | 95.76 | | airplane | 85.35 | 97.05 | | dirt track | 8.64 | 36.88 | | apparel | 57.08 | 87.54 | | pole | 36.83 | 63.52 | | land | 0.21 | 0.29 | | bannister | 30.63 | 45.7 | | escalator | 62.81 | 86.56 | | ottoman | 60.73 | 82.72 | | bottle | 57.37 | 80.8 | | buffet | 58.9 | 65.77 | | poster | 30.63 | 40.23 | | stage | 17.21 | 35.84 | | van | 50.24 | 77.55 | | ship | 64.37 | 77.01 | | fountain | 28.86 | 29.28 | | conveyer belt | 75.84 | 97.83 | | canopy | 60.81 | 91.37 | | washer | 75.07 | 93.9 | | plaything | 41.12 | 68.35 | | swimming pool | 51.23 | 73.45 | | stool | 50.64 | 82.08 | | barrel | 85.74 | 97.46 | | basket | 47.11 | 69.16 | | waterfall | 56.32 | 62.69 | | tent | 92.39 | 98.16 | | bag | 32.73 | 46.51 | | minibike | 81.38 | 93.3 | | cradle | 91.12 | 97.9 | | oven | 65.99 | 82.25 | | ball | 70.15 | 83.13 | | food | 72.27 | 82.47 | | step | 15.56 | 18.23 | | tank | 64.02 | 66.94 | | trade name | 23.88 | 30.37 | | microwave | 88.08 | 93.54 | | pot | 61.44 | 74.28 | | animal | 79.54 | 82.04 | | bicycle | 66.06 | 86.09 | | lake | 50.67 | 68.85 | | dishwasher | 77.34 | 90.75 | | screen | 67.38 | 95.93 | | blanket | 39.52 | 52.15 | | sculpture | 65.18 | 91.66 | | hood | 71.77 | 89.49 | | sconce | 62.47 | 81.43 | | vase | 56.4 | 83.57 | | traffic light | 51.94 | 71.71 | | tray | 28.38 | 38.01 | | ashcan | 54.15 | 79.2 | | fan | 74.4 | 87.16 | | pier | 73.13 | 85.3 | | crt screen | 6.27 | 18.67 | | plate | 67.51 | 82.6 | | monitor | 12.47 | 15.25 | | bulletin board | 49.87 | 59.0 | | shower | 22.86 | 30.98 | | radiator | 73.12 | 93.16 | | glass | 28.02 | 31.56 | | clock | 56.2 | 70.51 | | flag | 73.86 | 88.93 | +---------------------+-------+-------+ 2022-09-15 20:09:15,121 - mmseg - INFO - Summary: 2022-09-15 20:09:15,122 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 86.62 | 60.05 | 74.6 | +-------+-------+------+ 2022-09-15 20:09:15,129 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 20:09:15,129 - mmseg - INFO - Iter(val) [125] aAcc: 0.8662, mIoU: 0.6005, mAcc: 0.7460, IoU.wall: 0.8258, IoU.building: 0.8470, IoU.sky: 0.9511, IoU.floor: 0.8557, IoU.tree: 0.7865, IoU.ceiling: 0.8776, IoU.road: 0.8736, IoU.bed : 0.9382, IoU.windowpane: 0.6727, IoU.grass: 0.7293, IoU.cabinet: 0.6528, IoU.sidewalk: 0.7169, IoU.person: 0.8808, IoU.earth: 0.4071, IoU.door: 0.6244, IoU.table: 0.7021, IoU.mountain: 0.6364, IoU.plant: 0.5669, IoU.curtain: 0.7790, IoU.chair: 0.6746, IoU.car: 0.8984, IoU.water: 0.6305, IoU.painting: 0.8040, IoU.sofa: 0.8424, IoU.shelf: 0.4891, IoU.house: 0.4675, IoU.sea: 0.6607, IoU.mirror: 0.7863, IoU.rug: 0.6907, IoU.field: 0.3289, IoU.armchair: 0.5822, IoU.seat: 0.6715, IoU.fence: 0.5049, IoU.desk: 0.5821, IoU.rock: 0.5558, IoU.wardrobe: 0.6511, IoU.lamp: 0.7831, IoU.bathtub: 0.9243, IoU.railing: 0.4362, IoU.cushion: 0.7074, IoU.base: 0.4729, IoU.box: 0.4276, IoU.column: 0.6051, IoU.signboard: 0.4127, IoU.chest of drawers: 0.3644, IoU.counter: 0.3869, IoU.sand: 0.5813, IoU.sink: 0.8489, IoU.skyscraper: 0.4229, IoU.fireplace: 0.7827, IoU.refrigerator: 0.8680, IoU.grandstand: 0.5302, IoU.path: 0.1950, IoU.stairs: 0.3792, IoU.runway: 0.7394, IoU.case: 0.7113, IoU.pool table: 0.9538, IoU.pillow: 0.6912, IoU.screen door: 0.7957, IoU.stairway: 0.5711, IoU.river: 0.1778, IoU.bridge: 0.5962, IoU.bookcase: 0.3348, IoU.blind: 0.4870, IoU.coffee table: 0.6213, IoU.toilet: 0.9207, IoU.flower: 0.5815, IoU.book: 0.6042, IoU.hill: 0.0534, IoU.bench: 0.7214, IoU.countertop: 0.7308, IoU.stove: 0.8691, IoU.palm: 0.5696, IoU.kitchen island: 0.4345, IoU.computer: 0.8338, IoU.swivel chair: 0.5281, IoU.boat: 0.6176, IoU.bar: 0.6221, IoU.arcade machine: 0.8205, IoU.hovel: 0.3666, IoU.bus: 0.9358, IoU.towel: 0.7816, IoU.light: 0.6599, IoU.truck: 0.5205, IoU.tower: 0.3622, IoU.chandelier: 0.7546, IoU.awning: 0.3345, IoU.streetlight: 0.5040, IoU.booth: 0.5303, IoU.television receiver: 0.8555, IoU.airplane: 0.8535, IoU.dirt track: 0.0864, IoU.apparel: 0.5708, IoU.pole: 0.3683, IoU.land: 0.0021, IoU.bannister: 0.3063, IoU.escalator: 0.6281, IoU.ottoman: 0.6073, IoU.bottle: 0.5737, IoU.buffet: 0.5890, IoU.poster: 0.3063, IoU.stage: 0.1721, IoU.van: 0.5024, IoU.ship: 0.6437, IoU.fountain: 0.2886, IoU.conveyer belt: 0.7584, IoU.canopy: 0.6081, IoU.washer: 0.7507, IoU.plaything: 0.4112, IoU.swimming pool: 0.5123, IoU.stool: 0.5064, IoU.barrel: 0.8574, IoU.basket: 0.4711, IoU.waterfall: 0.5632, IoU.tent: 0.9239, IoU.bag: 0.3273, IoU.minibike: 0.8138, IoU.cradle: 0.9112, IoU.oven: 0.6599, IoU.ball: 0.7015, IoU.food: 0.7227, IoU.step: 0.1556, IoU.tank: 0.6402, IoU.trade name: 0.2388, IoU.microwave: 0.8808, IoU.pot: 0.6144, IoU.animal: 0.7954, IoU.bicycle: 0.6606, IoU.lake: 0.5067, IoU.dishwasher: 0.7734, IoU.screen: 0.6738, IoU.blanket: 0.3952, IoU.sculpture: 0.6518, IoU.hood: 0.7177, IoU.sconce: 0.6247, IoU.vase: 0.5640, IoU.traffic light: 0.5194, IoU.tray: 0.2838, IoU.ashcan: 0.5415, IoU.fan: 0.7440, IoU.pier: 0.7313, IoU.crt screen: 0.0627, IoU.plate: 0.6751, IoU.monitor: 0.1247, IoU.bulletin board: 0.4987, IoU.shower: 0.2286, IoU.radiator: 0.7312, IoU.glass: 0.2802, IoU.clock: 0.5620, IoU.flag: 0.7386, Acc.wall: 0.8939, Acc.building: 0.9117, Acc.sky: 0.9767, Acc.floor: 0.9015, Acc.tree: 0.9023, Acc.ceiling: 0.9354, Acc.road: 0.9175, Acc.bed : 0.9711, Acc.windowpane: 0.7931, Acc.grass: 0.9203, Acc.cabinet: 0.7770, Acc.sidewalk: 0.8664, Acc.person: 0.9386, Acc.earth: 0.5201, Acc.door: 0.7944, Acc.table: 0.7956, Acc.mountain: 0.7610, Acc.plant: 0.7000, Acc.curtain: 0.9084, Acc.chair: 0.7786, Acc.car: 0.9398, Acc.water: 0.8028, Acc.painting: 0.9375, Acc.sofa: 0.9269, Acc.shelf: 0.6369, Acc.house: 0.7084, Acc.sea: 0.8473, Acc.mirror: 0.9082, Acc.rug: 0.8727, Acc.field: 0.4727, Acc.armchair: 0.7546, Acc.seat: 0.9216, Acc.fence: 0.7029, Acc.desk: 0.8043, Acc.rock: 0.6949, Acc.wardrobe: 0.7337, Acc.lamp: 0.8880, Acc.bathtub: 0.9425, Acc.railing: 0.5754, Acc.cushion: 0.8045, Acc.base: 0.6966, Acc.box: 0.5739, Acc.column: 0.6877, Acc.signboard: 0.6677, Acc.chest of drawers: 0.7033, Acc.counter: 0.5004, Acc.sand: 0.8617, Acc.sink: 0.8947, Acc.skyscraper: 0.5319, Acc.fireplace: 0.9291, Acc.refrigerator: 0.9358, Acc.grandstand: 0.8337, Acc.path: 0.2255, Acc.stairs: 0.5163, Acc.runway: 0.9318, Acc.case: 0.8993, Acc.pool table: 0.9784, Acc.pillow: 0.8301, Acc.screen door: 0.9562, Acc.stairway: 0.7068, Acc.river: 0.2076, Acc.bridge: 0.6660, Acc.bookcase: 0.5680, Acc.blind: 0.6208, Acc.coffee table: 0.9008, Acc.toilet: 0.9492, Acc.flower: 0.6864, Acc.book: 0.8354, Acc.hill: 0.1092, Acc.bench: 0.8479, Acc.countertop: 0.9220, Acc.stove: 0.9241, Acc.palm: 0.8119, Acc.kitchen island: 0.8010, Acc.computer: 0.8938, Acc.swivel chair: 0.7618, Acc.boat: 0.9347, Acc.bar: 0.7940, Acc.arcade machine: 0.8927, Acc.hovel: 0.3968, Acc.bus: 0.9656, Acc.towel: 0.9072, Acc.light: 0.8031, Acc.truck: 0.7771, Acc.tower: 0.6333, Acc.chandelier: 0.8859, Acc.awning: 0.5164, Acc.streetlight: 0.6951, Acc.booth: 0.7010, Acc.television receiver: 0.9576, Acc.airplane: 0.9705, Acc.dirt track: 0.3688, Acc.apparel: 0.8754, Acc.pole: 0.6352, Acc.land: 0.0029, Acc.bannister: 0.4570, Acc.escalator: 0.8656, Acc.ottoman: 0.8272, Acc.bottle: 0.8080, Acc.buffet: 0.6577, Acc.poster: 0.4023, Acc.stage: 0.3584, Acc.van: 0.7755, Acc.ship: 0.7701, Acc.fountain: 0.2928, Acc.conveyer belt: 0.9783, Acc.canopy: 0.9137, Acc.washer: 0.9390, Acc.plaything: 0.6835, Acc.swimming pool: 0.7345, Acc.stool: 0.8208, Acc.barrel: 0.9746, Acc.basket: 0.6916, Acc.waterfall: 0.6269, Acc.tent: 0.9816, Acc.bag: 0.4651, Acc.minibike: 0.9330, Acc.cradle: 0.9790, Acc.oven: 0.8225, Acc.ball: 0.8313, Acc.food: 0.8247, Acc.step: 0.1823, Acc.tank: 0.6694, Acc.trade name: 0.3037, Acc.microwave: 0.9354, Acc.pot: 0.7428, Acc.animal: 0.8204, Acc.bicycle: 0.8609, Acc.lake: 0.6885, Acc.dishwasher: 0.9075, Acc.screen: 0.9593, Acc.blanket: 0.5215, Acc.sculpture: 0.9166, Acc.hood: 0.8949, Acc.sconce: 0.8143, Acc.vase: 0.8357, Acc.traffic light: 0.7171, Acc.tray: 0.3801, Acc.ashcan: 0.7920, Acc.fan: 0.8716, Acc.pier: 0.8530, Acc.crt screen: 0.1867, Acc.plate: 0.8260, Acc.monitor: 0.1525, Acc.bulletin board: 0.5900, Acc.shower: 0.3098, Acc.radiator: 0.9316, Acc.glass: 0.3156, Acc.clock: 0.7051, Acc.flag: 0.8893 2022-09-15 20:10:49,090 - mmseg - INFO - Iter [40050/80000] lr: 7.170e-07, eta: 23:15:14, time: 4.142, data_time: 2.280, memory: 47124, decode.loss_cls: 0.2904, decode.loss_mask: 0.5236, decode.loss_dice: 0.7813, decode.d0.loss_cls: 1.7356, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8827, decode.d1.loss_cls: 0.3724, decode.d1.loss_mask: 0.5478, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3221, decode.d2.loss_mask: 0.5338, decode.d2.loss_dice: 0.8079, decode.d3.loss_cls: 0.3122, decode.d3.loss_mask: 0.5272, decode.d3.loss_dice: 0.7923, decode.d4.loss_cls: 0.3073, decode.d4.loss_mask: 0.5281, decode.d4.loss_dice: 0.7907, decode.d5.loss_cls: 0.3058, decode.d5.loss_mask: 0.5238, decode.d5.loss_dice: 0.7865, decode.d6.loss_cls: 0.3014, decode.d6.loss_mask: 0.5230, decode.d6.loss_dice: 0.7789, decode.d7.loss_cls: 0.2981, decode.d7.loss_mask: 0.5215, decode.d7.loss_dice: 0.7782, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.5199, decode.d8.loss_dice: 0.7809, loss: 17.8528 2022-09-15 20:12:23,937 - mmseg - INFO - Iter [40100/80000] lr: 7.161e-07, eta: 23:13:05, time: 1.897, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3141, decode.loss_mask: 0.5394, decode.loss_dice: 0.7712, decode.d0.loss_cls: 1.7698, decode.d0.loss_mask: 0.5695, decode.d0.loss_dice: 0.8875, decode.d1.loss_cls: 0.3944, decode.d1.loss_mask: 0.5685, decode.d1.loss_dice: 0.8401, decode.d2.loss_cls: 0.3502, decode.d2.loss_mask: 0.5552, decode.d2.loss_dice: 0.8020, decode.d3.loss_cls: 0.3370, decode.d3.loss_mask: 0.5480, decode.d3.loss_dice: 0.7808, decode.d4.loss_cls: 0.3220, decode.d4.loss_mask: 0.5460, decode.d4.loss_dice: 0.7888, decode.d5.loss_cls: 0.3146, decode.d5.loss_mask: 0.5433, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5387, decode.d6.loss_dice: 0.7811, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5416, decode.d7.loss_dice: 0.7817, decode.d8.loss_cls: 0.3144, decode.d8.loss_mask: 0.5406, decode.d8.loss_dice: 0.7819, loss: 18.2301 2022-09-15 20:13:56,778 - mmseg - INFO - Iter [40150/80000] lr: 7.152e-07, eta: 23:10:51, time: 1.857, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3122, decode.loss_mask: 0.5114, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.7998, decode.d0.loss_mask: 0.5469, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.3941, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.8240, decode.d2.loss_cls: 0.3476, decode.d2.loss_mask: 0.5198, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3333, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7726, decode.d4.loss_cls: 0.3299, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7650, decode.d5.loss_cls: 0.3228, decode.d5.loss_mask: 0.5096, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.3184, decode.d6.loss_mask: 0.5099, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.3143, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7590, decode.d8.loss_cls: 0.3143, decode.d8.loss_mask: 0.5097, decode.d8.loss_dice: 0.7535, loss: 17.7641 2022-09-15 20:15:30,171 - mmseg - INFO - Iter [40200/80000] lr: 7.143e-07, eta: 23:08:38, time: 1.868, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3120, decode.loss_mask: 0.5359, decode.loss_dice: 0.7635, decode.d0.loss_cls: 1.7528, decode.d0.loss_mask: 0.5662, decode.d0.loss_dice: 0.8737, decode.d1.loss_cls: 0.3883, decode.d1.loss_mask: 0.5617, decode.d1.loss_dice: 0.8279, decode.d2.loss_cls: 0.3402, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.7950, decode.d3.loss_cls: 0.3321, decode.d3.loss_mask: 0.5435, decode.d3.loss_dice: 0.7733, decode.d4.loss_cls: 0.3194, decode.d4.loss_mask: 0.5409, decode.d4.loss_dice: 0.7698, decode.d5.loss_cls: 0.3164, decode.d5.loss_mask: 0.5391, decode.d5.loss_dice: 0.7689, decode.d6.loss_cls: 0.3147, decode.d6.loss_mask: 0.5338, decode.d6.loss_dice: 0.7627, decode.d7.loss_cls: 0.3087, decode.d7.loss_mask: 0.5343, decode.d7.loss_dice: 0.7632, decode.d8.loss_cls: 0.3120, decode.d8.loss_mask: 0.5314, decode.d8.loss_dice: 0.7622, loss: 17.9913 2022-09-15 20:17:03,999 - mmseg - INFO - Iter [40250/80000] lr: 7.134e-07, eta: 23:06:27, time: 1.877, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2953, decode.loss_mask: 0.5077, decode.loss_dice: 0.7476, decode.d0.loss_cls: 1.7791, decode.d0.loss_mask: 0.5410, decode.d0.loss_dice: 0.8605, decode.d1.loss_cls: 0.3853, decode.d1.loss_mask: 0.5341, decode.d1.loss_dice: 0.8007, decode.d2.loss_cls: 0.3378, decode.d2.loss_mask: 0.5153, decode.d2.loss_dice: 0.7696, decode.d3.loss_cls: 0.3200, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7567, decode.d4.loss_cls: 0.3126, decode.d4.loss_mask: 0.5136, decode.d4.loss_dice: 0.7566, decode.d5.loss_cls: 0.3016, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.2995, decode.d6.loss_mask: 0.5095, decode.d6.loss_dice: 0.7479, decode.d7.loss_cls: 0.3006, decode.d7.loss_mask: 0.5093, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2925, decode.d8.loss_mask: 0.5085, decode.d8.loss_dice: 0.7497, loss: 17.4776 2022-09-15 20:18:39,615 - mmseg - INFO - Iter [40300/80000] lr: 7.125e-07, eta: 23:04:21, time: 1.912, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3342, decode.loss_mask: 0.5449, decode.loss_dice: 0.7822, decode.d0.loss_cls: 1.8411, decode.d0.loss_mask: 0.5795, decode.d0.loss_dice: 0.8972, decode.d1.loss_cls: 0.4146, decode.d1.loss_mask: 0.5703, decode.d1.loss_dice: 0.8430, decode.d2.loss_cls: 0.3746, decode.d2.loss_mask: 0.5561, decode.d2.loss_dice: 0.8161, decode.d3.loss_cls: 0.3566, decode.d3.loss_mask: 0.5459, decode.d3.loss_dice: 0.7967, decode.d4.loss_cls: 0.3494, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.7920, decode.d5.loss_cls: 0.3428, decode.d5.loss_mask: 0.5431, decode.d5.loss_dice: 0.7921, decode.d6.loss_cls: 0.3405, decode.d6.loss_mask: 0.5431, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3328, decode.d7.loss_mask: 0.5447, decode.d7.loss_dice: 0.7835, decode.d8.loss_cls: 0.3395, decode.d8.loss_mask: 0.5441, decode.d8.loss_dice: 0.7840, loss: 18.6150 2022-09-15 20:20:12,602 - mmseg - INFO - Iter [40350/80000] lr: 7.116e-07, eta: 23:02:08, time: 1.860, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3219, decode.loss_mask: 0.5334, decode.loss_dice: 0.7648, decode.d0.loss_cls: 1.7738, decode.d0.loss_mask: 0.5609, decode.d0.loss_dice: 0.8692, decode.d1.loss_cls: 0.4004, decode.d1.loss_mask: 0.5612, decode.d1.loss_dice: 0.8206, decode.d2.loss_cls: 0.3590, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.7945, decode.d3.loss_cls: 0.3412, decode.d3.loss_mask: 0.5429, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.3315, decode.d4.loss_mask: 0.5393, decode.d4.loss_dice: 0.7747, decode.d5.loss_cls: 0.3240, decode.d5.loss_mask: 0.5375, decode.d5.loss_dice: 0.7717, decode.d6.loss_cls: 0.3219, decode.d6.loss_mask: 0.5342, decode.d6.loss_dice: 0.7719, decode.d7.loss_cls: 0.3260, decode.d7.loss_mask: 0.5339, decode.d7.loss_dice: 0.7623, decode.d8.loss_cls: 0.3260, decode.d8.loss_mask: 0.5324, decode.d8.loss_dice: 0.7650, loss: 18.1196 2022-09-15 20:21:45,169 - mmseg - INFO - Iter [40400/80000] lr: 7.107e-07, eta: 22:59:54, time: 1.851, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3047, decode.loss_mask: 0.5230, decode.loss_dice: 0.7637, decode.d0.loss_cls: 1.7679, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8720, decode.d1.loss_cls: 0.3918, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8211, decode.d2.loss_cls: 0.3431, decode.d2.loss_mask: 0.5379, decode.d2.loss_dice: 0.7946, decode.d3.loss_cls: 0.3248, decode.d3.loss_mask: 0.5302, decode.d3.loss_dice: 0.7802, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5258, decode.d4.loss_dice: 0.7780, decode.d5.loss_cls: 0.3085, decode.d5.loss_mask: 0.5259, decode.d5.loss_dice: 0.7746, decode.d6.loss_cls: 0.3047, decode.d6.loss_mask: 0.5249, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.3039, decode.d7.loss_mask: 0.5265, decode.d7.loss_dice: 0.7662, decode.d8.loss_cls: 0.2986, decode.d8.loss_mask: 0.5253, decode.d8.loss_dice: 0.7704, loss: 17.8732 2022-09-15 20:23:22,326 - mmseg - INFO - Iter [40450/80000] lr: 7.098e-07, eta: 22:57:52, time: 1.943, data_time: 0.063, memory: 47124, decode.loss_cls: 0.3144, decode.loss_mask: 0.5267, decode.loss_dice: 0.7618, decode.d0.loss_cls: 1.8268, decode.d0.loss_mask: 0.5524, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.4071, decode.d1.loss_mask: 0.5517, decode.d1.loss_dice: 0.8182, decode.d2.loss_cls: 0.3605, decode.d2.loss_mask: 0.5378, decode.d2.loss_dice: 0.7875, decode.d3.loss_cls: 0.3406, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7762, decode.d4.loss_cls: 0.3312, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7722, decode.d5.loss_cls: 0.3235, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.7658, decode.d6.loss_cls: 0.3240, decode.d6.loss_mask: 0.5254, decode.d6.loss_dice: 0.7607, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.5251, decode.d7.loss_dice: 0.7566, decode.d8.loss_cls: 0.3171, decode.d8.loss_mask: 0.5276, decode.d8.loss_dice: 0.7627, loss: 18.0334 2022-09-15 20:24:55,934 - mmseg - INFO - Iter [40500/80000] lr: 7.089e-07, eta: 22:55:41, time: 1.873, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3124, decode.loss_mask: 0.5182, decode.loss_dice: 0.7617, decode.d0.loss_cls: 1.7906, decode.d0.loss_mask: 0.5520, decode.d0.loss_dice: 0.8636, decode.d1.loss_cls: 0.3985, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8156, decode.d2.loss_cls: 0.3547, decode.d2.loss_mask: 0.5269, decode.d2.loss_dice: 0.7869, decode.d3.loss_cls: 0.3342, decode.d3.loss_mask: 0.5263, decode.d3.loss_dice: 0.7698, decode.d4.loss_cls: 0.3209, decode.d4.loss_mask: 0.5256, decode.d4.loss_dice: 0.7664, decode.d5.loss_cls: 0.3090, decode.d5.loss_mask: 0.5231, decode.d5.loss_dice: 0.7635, decode.d6.loss_cls: 0.3139, decode.d6.loss_mask: 0.5211, decode.d6.loss_dice: 0.7576, decode.d7.loss_cls: 0.3105, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7612, decode.d8.loss_cls: 0.3111, decode.d8.loss_mask: 0.5186, decode.d8.loss_dice: 0.7608, loss: 17.8370 2022-09-15 20:26:31,038 - mmseg - INFO - Iter [40550/80000] lr: 7.080e-07, eta: 22:53:34, time: 1.902, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2978, decode.loss_mask: 0.5250, decode.loss_dice: 0.7536, decode.d0.loss_cls: 1.7574, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8577, decode.d1.loss_cls: 0.3789, decode.d1.loss_mask: 0.5478, decode.d1.loss_dice: 0.8124, decode.d2.loss_cls: 0.3313, decode.d2.loss_mask: 0.5375, decode.d2.loss_dice: 0.7873, decode.d3.loss_cls: 0.3162, decode.d3.loss_mask: 0.5333, decode.d3.loss_dice: 0.7690, decode.d4.loss_cls: 0.3034, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.2999, decode.d5.loss_mask: 0.5294, decode.d5.loss_dice: 0.7604, decode.d6.loss_cls: 0.3031, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7563, decode.d7.loss_cls: 0.3011, decode.d7.loss_mask: 0.5246, decode.d7.loss_dice: 0.7596, decode.d8.loss_cls: 0.3020, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7564, loss: 17.7027 2022-09-15 20:28:06,825 - mmseg - INFO - Iter [40600/80000] lr: 7.071e-07, eta: 22:51:29, time: 1.915, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3012, decode.loss_mask: 0.4950, decode.loss_dice: 0.7408, decode.d0.loss_cls: 1.8400, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.8486, decode.d1.loss_cls: 0.3886, decode.d1.loss_mask: 0.5177, decode.d1.loss_dice: 0.7971, decode.d2.loss_cls: 0.3383, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7631, decode.d3.loss_cls: 0.3165, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7522, decode.d4.loss_cls: 0.3078, decode.d4.loss_mask: 0.4986, decode.d4.loss_dice: 0.7548, decode.d5.loss_cls: 0.2962, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7487, decode.d6.loss_cls: 0.2972, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7449, decode.d7.loss_cls: 0.2904, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7457, decode.d8.loss_cls: 0.2904, decode.d8.loss_mask: 0.4958, decode.d8.loss_dice: 0.7451, loss: 17.3356 2022-09-15 20:29:40,043 - mmseg - INFO - Iter [40650/80000] lr: 7.063e-07, eta: 22:49:19, time: 1.865, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3034, decode.loss_mask: 0.5084, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.7739, decode.d0.loss_mask: 0.5509, decode.d0.loss_dice: 0.8626, decode.d1.loss_cls: 0.3923, decode.d1.loss_mask: 0.5381, decode.d1.loss_dice: 0.8009, decode.d2.loss_cls: 0.3340, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.3242, decode.d3.loss_mask: 0.5162, decode.d3.loss_dice: 0.7587, decode.d4.loss_cls: 0.3157, decode.d4.loss_mask: 0.5153, decode.d4.loss_dice: 0.7555, decode.d5.loss_cls: 0.3073, decode.d5.loss_mask: 0.5140, decode.d5.loss_dice: 0.7487, decode.d6.loss_cls: 0.3035, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7466, decode.d7.loss_cls: 0.2962, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7482, decode.d8.loss_cls: 0.3007, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7464, loss: 17.5392 2022-09-15 20:31:13,492 - mmseg - INFO - Iter [40700/80000] lr: 7.054e-07, eta: 22:47:08, time: 1.869, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3019, decode.loss_mask: 0.5316, decode.loss_dice: 0.7455, decode.d0.loss_cls: 1.7821, decode.d0.loss_mask: 0.5703, decode.d0.loss_dice: 0.8599, decode.d1.loss_cls: 0.3876, decode.d1.loss_mask: 0.5606, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3396, decode.d2.loss_mask: 0.5478, decode.d2.loss_dice: 0.7737, decode.d3.loss_cls: 0.3206, decode.d3.loss_mask: 0.5406, decode.d3.loss_dice: 0.7590, decode.d4.loss_cls: 0.3152, decode.d4.loss_mask: 0.5376, decode.d4.loss_dice: 0.7565, decode.d5.loss_cls: 0.3103, decode.d5.loss_mask: 0.5347, decode.d5.loss_dice: 0.7518, decode.d6.loss_cls: 0.3123, decode.d6.loss_mask: 0.5329, decode.d6.loss_dice: 0.7484, decode.d7.loss_cls: 0.3044, decode.d7.loss_mask: 0.5341, decode.d7.loss_dice: 0.7509, decode.d8.loss_cls: 0.3041, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7474, loss: 17.7956 2022-09-15 20:32:48,079 - mmseg - INFO - Iter [40750/80000] lr: 7.045e-07, eta: 22:45:01, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3074, decode.loss_mask: 0.5093, decode.loss_dice: 0.7555, decode.d0.loss_cls: 1.7758, decode.d0.loss_mask: 0.5414, decode.d0.loss_dice: 0.8665, decode.d1.loss_cls: 0.3950, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.8215, decode.d2.loss_cls: 0.3416, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.7879, decode.d3.loss_cls: 0.3211, decode.d3.loss_mask: 0.5155, decode.d3.loss_dice: 0.7686, decode.d4.loss_cls: 0.3120, decode.d4.loss_mask: 0.5131, decode.d4.loss_dice: 0.7610, decode.d5.loss_cls: 0.3097, decode.d5.loss_mask: 0.5114, decode.d5.loss_dice: 0.7628, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5062, decode.d6.loss_dice: 0.7531, decode.d7.loss_cls: 0.3048, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7549, decode.d8.loss_cls: 0.3046, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7523, loss: 17.6240 2022-09-15 20:34:23,598 - mmseg - INFO - Iter [40800/80000] lr: 7.036e-07, eta: 22:42:56, time: 1.909, data_time: 0.020, memory: 47124, decode.loss_cls: 0.3134, decode.loss_mask: 0.5104, decode.loss_dice: 0.7469, decode.d0.loss_cls: 1.7579, decode.d0.loss_mask: 0.5416, decode.d0.loss_dice: 0.8648, decode.d1.loss_cls: 0.4006, decode.d1.loss_mask: 0.5392, decode.d1.loss_dice: 0.8108, decode.d2.loss_cls: 0.3542, decode.d2.loss_mask: 0.5228, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.3291, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.3204, decode.d4.loss_mask: 0.5162, decode.d4.loss_dice: 0.7603, decode.d5.loss_cls: 0.3180, decode.d5.loss_mask: 0.5139, decode.d5.loss_dice: 0.7516, decode.d6.loss_cls: 0.3137, decode.d6.loss_mask: 0.5102, decode.d6.loss_dice: 0.7481, decode.d7.loss_cls: 0.3104, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.3111, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7517, loss: 17.6544 2022-09-15 20:35:58,184 - mmseg - INFO - Iter [40850/80000] lr: 7.027e-07, eta: 22:40:49, time: 1.893, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3041, decode.loss_mask: 0.5187, decode.loss_dice: 0.7459, decode.d0.loss_cls: 1.7525, decode.d0.loss_mask: 0.5546, decode.d0.loss_dice: 0.8628, decode.d1.loss_cls: 0.3877, decode.d1.loss_mask: 0.5440, decode.d1.loss_dice: 0.7902, decode.d2.loss_cls: 0.3421, decode.d2.loss_mask: 0.5261, decode.d2.loss_dice: 0.7690, decode.d3.loss_cls: 0.3235, decode.d3.loss_mask: 0.5256, decode.d3.loss_dice: 0.7584, decode.d4.loss_cls: 0.3185, decode.d4.loss_mask: 0.5223, decode.d4.loss_dice: 0.7536, decode.d5.loss_cls: 0.3091, decode.d5.loss_mask: 0.5192, decode.d5.loss_dice: 0.7494, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5183, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.3066, decode.d7.loss_mask: 0.5173, decode.d7.loss_dice: 0.7505, decode.d8.loss_cls: 0.3076, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7449, loss: 17.5889 2022-09-15 20:37:33,498 - mmseg - INFO - Iter [40900/80000] lr: 7.018e-07, eta: 22:38:44, time: 1.906, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2921, decode.loss_mask: 0.5355, decode.loss_dice: 0.7741, decode.d0.loss_cls: 1.7275, decode.d0.loss_mask: 0.5676, decode.d0.loss_dice: 0.8766, decode.d1.loss_cls: 0.3791, decode.d1.loss_mask: 0.5639, decode.d1.loss_dice: 0.8304, decode.d2.loss_cls: 0.3372, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.7942, decode.d3.loss_cls: 0.3187, decode.d3.loss_mask: 0.5448, decode.d3.loss_dice: 0.7818, decode.d4.loss_cls: 0.3097, decode.d4.loss_mask: 0.5423, decode.d4.loss_dice: 0.7794, decode.d5.loss_cls: 0.2994, decode.d5.loss_mask: 0.5390, decode.d5.loss_dice: 0.7764, decode.d6.loss_cls: 0.2986, decode.d6.loss_mask: 0.5380, decode.d6.loss_dice: 0.7687, decode.d7.loss_cls: 0.2958, decode.d7.loss_mask: 0.5356, decode.d7.loss_dice: 0.7707, decode.d8.loss_cls: 0.2928, decode.d8.loss_mask: 0.5377, decode.d8.loss_dice: 0.7711, loss: 17.9260 2022-09-15 20:39:08,209 - mmseg - INFO - Iter [40950/80000] lr: 7.009e-07, eta: 22:36:38, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3091, decode.loss_mask: 0.5146, decode.loss_dice: 0.7553, decode.d0.loss_cls: 1.7898, decode.d0.loss_mask: 0.5472, decode.d0.loss_dice: 0.8755, decode.d1.loss_cls: 0.3951, decode.d1.loss_mask: 0.5362, decode.d1.loss_dice: 0.8147, decode.d2.loss_cls: 0.3483, decode.d2.loss_mask: 0.5275, decode.d2.loss_dice: 0.7788, decode.d3.loss_cls: 0.3348, decode.d3.loss_mask: 0.5251, decode.d3.loss_dice: 0.7667, decode.d4.loss_cls: 0.3226, decode.d4.loss_mask: 0.5229, decode.d4.loss_dice: 0.7706, decode.d5.loss_cls: 0.3172, decode.d5.loss_mask: 0.5184, decode.d5.loss_dice: 0.7614, decode.d6.loss_cls: 0.3154, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7553, decode.d7.loss_cls: 0.3101, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7595, decode.d8.loss_cls: 0.3107, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7544, loss: 17.7824 2022-09-15 20:40:41,186 - mmseg - INFO - Saving checkpoint at 41000 iterations 2022-09-15 20:41:18,044 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 20:41:18,052 - mmseg - INFO - Iter [41000/80000] lr: 7.000e-07, eta: 22:35:52, time: 2.597, data_time: 0.021, memory: 47124, decode.loss_cls: 0.3035, decode.loss_mask: 0.5218, decode.loss_dice: 0.7619, decode.d0.loss_cls: 1.7954, decode.d0.loss_mask: 0.5582, decode.d0.loss_dice: 0.8818, decode.d1.loss_cls: 0.3997, decode.d1.loss_mask: 0.5500, decode.d1.loss_dice: 0.8155, decode.d2.loss_cls: 0.3412, decode.d2.loss_mask: 0.5441, decode.d2.loss_dice: 0.7920, decode.d3.loss_cls: 0.3281, decode.d3.loss_mask: 0.5310, decode.d3.loss_dice: 0.7767, decode.d4.loss_cls: 0.3155, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7735, decode.d5.loss_cls: 0.3112, decode.d5.loss_mask: 0.5266, decode.d5.loss_dice: 0.7656, decode.d6.loss_cls: 0.3057, decode.d6.loss_mask: 0.5255, decode.d6.loss_dice: 0.7650, decode.d7.loss_cls: 0.3083, decode.d7.loss_mask: 0.5222, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.3032, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7656, loss: 17.9048 2022-09-15 20:42:51,348 - mmseg - INFO - Iter [41050/80000] lr: 6.991e-07, eta: 22:33:43, time: 1.869, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2895, decode.loss_mask: 0.5070, decode.loss_dice: 0.7343, decode.d0.loss_cls: 1.7586, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3761, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7906, decode.d2.loss_cls: 0.3258, decode.d2.loss_mask: 0.5196, decode.d2.loss_dice: 0.7679, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5124, decode.d3.loss_dice: 0.7443, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.5116, decode.d4.loss_dice: 0.7483, decode.d5.loss_cls: 0.2964, decode.d5.loss_mask: 0.5066, decode.d5.loss_dice: 0.7416, decode.d6.loss_cls: 0.2918, decode.d6.loss_mask: 0.5054, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2882, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7350, decode.d8.loss_cls: 0.2904, decode.d8.loss_mask: 0.5048, decode.d8.loss_dice: 0.7358, loss: 17.2472 2022-09-15 20:44:25,741 - mmseg - INFO - Iter [41100/80000] lr: 6.982e-07, eta: 22:31:36, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3189, decode.loss_mask: 0.5112, decode.loss_dice: 0.7603, decode.d0.loss_cls: 1.7296, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8746, decode.d1.loss_cls: 0.3993, decode.d1.loss_mask: 0.5425, decode.d1.loss_dice: 0.8195, decode.d2.loss_cls: 0.3532, decode.d2.loss_mask: 0.5252, decode.d2.loss_dice: 0.7940, decode.d3.loss_cls: 0.3373, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7765, decode.d4.loss_cls: 0.3274, decode.d4.loss_mask: 0.5209, decode.d4.loss_dice: 0.7736, decode.d5.loss_cls: 0.3256, decode.d5.loss_mask: 0.5140, decode.d5.loss_dice: 0.7674, decode.d6.loss_cls: 0.3181, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7529, decode.d7.loss_cls: 0.3137, decode.d7.loss_mask: 0.5130, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.3134, decode.d8.loss_mask: 0.5106, decode.d8.loss_dice: 0.7605, loss: 17.8003 2022-09-15 20:45:59,881 - mmseg - INFO - Iter [41150/80000] lr: 6.973e-07, eta: 22:29:29, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3090, decode.loss_mask: 0.5337, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.7314, decode.d0.loss_mask: 0.5702, decode.d0.loss_dice: 0.8700, decode.d1.loss_cls: 0.3850, decode.d1.loss_mask: 0.5609, decode.d1.loss_dice: 0.8127, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5470, decode.d2.loss_dice: 0.7865, decode.d3.loss_cls: 0.3314, decode.d3.loss_mask: 0.5378, decode.d3.loss_dice: 0.7711, decode.d4.loss_cls: 0.3253, decode.d4.loss_mask: 0.5351, decode.d4.loss_dice: 0.7683, decode.d5.loss_cls: 0.3173, decode.d5.loss_mask: 0.5359, decode.d5.loss_dice: 0.7715, decode.d6.loss_cls: 0.3155, decode.d6.loss_mask: 0.5332, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5319, decode.d7.loss_dice: 0.7623, decode.d8.loss_cls: 0.3073, decode.d8.loss_mask: 0.5321, decode.d8.loss_dice: 0.7609, loss: 17.9154 2022-09-15 20:47:33,950 - mmseg - INFO - Iter [41200/80000] lr: 6.964e-07, eta: 22:27:22, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3057, decode.loss_mask: 0.5280, decode.loss_dice: 0.7576, decode.d0.loss_cls: 1.7695, decode.d0.loss_mask: 0.5671, decode.d0.loss_dice: 0.8751, decode.d1.loss_cls: 0.4069, decode.d1.loss_mask: 0.5556, decode.d1.loss_dice: 0.8123, decode.d2.loss_cls: 0.3534, decode.d2.loss_mask: 0.5384, decode.d2.loss_dice: 0.7801, decode.d3.loss_cls: 0.3358, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.7652, decode.d4.loss_cls: 0.3209, decode.d4.loss_mask: 0.5312, decode.d4.loss_dice: 0.7614, decode.d5.loss_cls: 0.3203, decode.d5.loss_mask: 0.5275, decode.d5.loss_dice: 0.7636, decode.d6.loss_cls: 0.3134, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7570, decode.d7.loss_cls: 0.3109, decode.d7.loss_mask: 0.5285, decode.d7.loss_dice: 0.7567, decode.d8.loss_cls: 0.3091, decode.d8.loss_mask: 0.5272, decode.d8.loss_dice: 0.7536, loss: 17.8887 2022-09-15 20:49:06,714 - mmseg - INFO - Iter [41250/80000] lr: 6.955e-07, eta: 22:25:12, time: 1.857, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3064, decode.loss_mask: 0.5259, decode.loss_dice: 0.7664, decode.d0.loss_cls: 1.8042, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8775, decode.d1.loss_cls: 0.3952, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8268, decode.d2.loss_cls: 0.3433, decode.d2.loss_mask: 0.5399, decode.d2.loss_dice: 0.8045, decode.d3.loss_cls: 0.3252, decode.d3.loss_mask: 0.5324, decode.d3.loss_dice: 0.7822, decode.d4.loss_cls: 0.3223, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7795, decode.d5.loss_cls: 0.3163, decode.d5.loss_mask: 0.5261, decode.d5.loss_dice: 0.7708, decode.d6.loss_cls: 0.3175, decode.d6.loss_mask: 0.5291, decode.d6.loss_dice: 0.7717, decode.d7.loss_cls: 0.3122, decode.d7.loss_mask: 0.5244, decode.d7.loss_dice: 0.7668, decode.d8.loss_cls: 0.3163, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.7637, loss: 18.0113 2022-09-15 20:50:42,210 - mmseg - INFO - Iter [41300/80000] lr: 6.946e-07, eta: 22:23:09, time: 1.910, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2932, decode.loss_mask: 0.5134, decode.loss_dice: 0.7571, decode.d0.loss_cls: 1.7527, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8657, decode.d1.loss_cls: 0.3859, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.8165, decode.d2.loss_cls: 0.3356, decode.d2.loss_mask: 0.5278, decode.d2.loss_dice: 0.7902, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7725, decode.d4.loss_cls: 0.3099, decode.d4.loss_mask: 0.5174, decode.d4.loss_dice: 0.7676, decode.d5.loss_cls: 0.3035, decode.d5.loss_mask: 0.5169, decode.d5.loss_dice: 0.7683, decode.d6.loss_cls: 0.3020, decode.d6.loss_mask: 0.5118, decode.d6.loss_dice: 0.7617, decode.d7.loss_cls: 0.2974, decode.d7.loss_mask: 0.5118, decode.d7.loss_dice: 0.7610, decode.d8.loss_cls: 0.2962, decode.d8.loss_mask: 0.5125, decode.d8.loss_dice: 0.7605, loss: 17.6341 2022-09-15 20:52:16,185 - mmseg - INFO - Iter [41350/80000] lr: 6.937e-07, eta: 22:21:02, time: 1.880, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3036, decode.loss_mask: 0.5191, decode.loss_dice: 0.7385, decode.d0.loss_cls: 1.7109, decode.d0.loss_mask: 0.5568, decode.d0.loss_dice: 0.8603, decode.d1.loss_cls: 0.3778, decode.d1.loss_mask: 0.5524, decode.d1.loss_dice: 0.8123, decode.d2.loss_cls: 0.3354, decode.d2.loss_mask: 0.5340, decode.d2.loss_dice: 0.7751, decode.d3.loss_cls: 0.3206, decode.d3.loss_mask: 0.5297, decode.d3.loss_dice: 0.7577, decode.d4.loss_cls: 0.3119, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.7530, decode.d5.loss_cls: 0.3074, decode.d5.loss_mask: 0.5253, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.3013, decode.d6.loss_mask: 0.5218, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.3013, decode.d7.loss_mask: 0.5210, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.3024, decode.d8.loss_mask: 0.5183, decode.d8.loss_dice: 0.7428, loss: 17.5507 2022-09-15 20:53:50,587 - mmseg - INFO - Iter [41400/80000] lr: 6.928e-07, eta: 22:18:57, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3006, decode.loss_mask: 0.5248, decode.loss_dice: 0.7744, decode.d0.loss_cls: 1.7634, decode.d0.loss_mask: 0.5514, decode.d0.loss_dice: 0.8788, decode.d1.loss_cls: 0.3871, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8298, decode.d2.loss_cls: 0.3428, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.8003, decode.d3.loss_cls: 0.3233, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.7828, decode.d4.loss_cls: 0.3089, decode.d4.loss_mask: 0.5276, decode.d4.loss_dice: 0.7875, decode.d5.loss_cls: 0.3086, decode.d5.loss_mask: 0.5225, decode.d5.loss_dice: 0.7809, decode.d6.loss_cls: 0.3134, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7734, decode.d7.loss_cls: 0.3001, decode.d7.loss_mask: 0.5221, decode.d7.loss_dice: 0.7759, decode.d8.loss_cls: 0.3001, decode.d8.loss_mask: 0.5246, decode.d8.loss_dice: 0.7738, loss: 17.9054 2022-09-15 20:55:24,217 - mmseg - INFO - Iter [41450/80000] lr: 6.919e-07, eta: 22:16:49, time: 1.873, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3326, decode.loss_mask: 0.5354, decode.loss_dice: 0.7936, decode.d0.loss_cls: 1.8013, decode.d0.loss_mask: 0.5726, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4127, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3741, decode.d2.loss_mask: 0.5468, decode.d2.loss_dice: 0.8244, decode.d3.loss_cls: 0.3572, decode.d3.loss_mask: 0.5386, decode.d3.loss_dice: 0.8019, decode.d4.loss_cls: 0.3488, decode.d4.loss_mask: 0.5376, decode.d4.loss_dice: 0.8029, decode.d5.loss_cls: 0.3407, decode.d5.loss_mask: 0.5362, decode.d5.loss_dice: 0.7941, decode.d6.loss_cls: 0.3366, decode.d6.loss_mask: 0.5346, decode.d6.loss_dice: 0.7906, decode.d7.loss_cls: 0.3320, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7944, decode.d8.loss_cls: 0.3324, decode.d8.loss_mask: 0.5367, decode.d8.loss_dice: 0.7950, loss: 18.5592 2022-09-15 20:56:58,527 - mmseg - INFO - Iter [41500/80000] lr: 6.910e-07, eta: 22:14:44, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2919, decode.loss_mask: 0.5016, decode.loss_dice: 0.7477, decode.d0.loss_cls: 1.7351, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8454, decode.d1.loss_cls: 0.3731, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.8011, decode.d2.loss_cls: 0.3287, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.3132, decode.d3.loss_mask: 0.5105, decode.d3.loss_dice: 0.7544, decode.d4.loss_cls: 0.2982, decode.d4.loss_mask: 0.5056, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2981, decode.d5.loss_mask: 0.5027, decode.d5.loss_dice: 0.7534, decode.d6.loss_cls: 0.2955, decode.d6.loss_mask: 0.5001, decode.d6.loss_dice: 0.7461, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5016, decode.d7.loss_dice: 0.7536, decode.d8.loss_cls: 0.2924, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7463, loss: 17.2935 2022-09-15 20:58:32,544 - mmseg - INFO - Iter [41550/80000] lr: 6.901e-07, eta: 22:12:38, time: 1.883, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3107, decode.loss_mask: 0.5189, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.7833, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8490, decode.d1.loss_cls: 0.3844, decode.d1.loss_mask: 0.5421, decode.d1.loss_dice: 0.8031, decode.d2.loss_cls: 0.3441, decode.d2.loss_mask: 0.5279, decode.d2.loss_dice: 0.7678, decode.d3.loss_cls: 0.3253, decode.d3.loss_mask: 0.5239, decode.d3.loss_dice: 0.7590, decode.d4.loss_cls: 0.3174, decode.d4.loss_mask: 0.5256, decode.d4.loss_dice: 0.7531, decode.d5.loss_cls: 0.3114, decode.d5.loss_mask: 0.5217, decode.d5.loss_dice: 0.7479, decode.d6.loss_cls: 0.3125, decode.d6.loss_mask: 0.5204, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.3090, decode.d7.loss_mask: 0.5205, decode.d7.loss_dice: 0.7443, decode.d8.loss_cls: 0.3100, decode.d8.loss_mask: 0.5200, decode.d8.loss_dice: 0.7432, loss: 17.6362 2022-09-15 21:00:06,970 - mmseg - INFO - Iter [41600/80000] lr: 6.892e-07, eta: 22:10:33, time: 1.888, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2979, decode.loss_mask: 0.5042, decode.loss_dice: 0.7346, decode.d0.loss_cls: 1.7435, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3815, decode.d1.loss_mask: 0.5318, decode.d1.loss_dice: 0.7913, decode.d2.loss_cls: 0.3281, decode.d2.loss_mask: 0.5173, decode.d2.loss_dice: 0.7696, decode.d3.loss_cls: 0.3113, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7540, decode.d4.loss_cls: 0.3064, decode.d4.loss_mask: 0.5083, decode.d4.loss_dice: 0.7499, decode.d5.loss_cls: 0.2994, decode.d5.loss_mask: 0.5073, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.3025, decode.d6.loss_mask: 0.5027, decode.d6.loss_dice: 0.7383, decode.d7.loss_cls: 0.3017, decode.d7.loss_mask: 0.5066, decode.d7.loss_dice: 0.7413, decode.d8.loss_cls: 0.3037, decode.d8.loss_mask: 0.5042, decode.d8.loss_dice: 0.7396, loss: 17.3120 2022-09-15 21:01:40,973 - mmseg - INFO - Iter [41650/80000] lr: 6.883e-07, eta: 22:08:28, time: 1.880, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3109, decode.loss_mask: 0.5185, decode.loss_dice: 0.7681, decode.d0.loss_cls: 1.7730, decode.d0.loss_mask: 0.5496, decode.d0.loss_dice: 0.8802, decode.d1.loss_cls: 0.3967, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.8307, decode.d2.loss_cls: 0.3478, decode.d2.loss_mask: 0.5323, decode.d2.loss_dice: 0.7928, decode.d3.loss_cls: 0.3291, decode.d3.loss_mask: 0.5262, decode.d3.loss_dice: 0.7806, decode.d4.loss_cls: 0.3234, decode.d4.loss_mask: 0.5226, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.3175, decode.d5.loss_mask: 0.5217, decode.d5.loss_dice: 0.7744, decode.d6.loss_cls: 0.3153, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7647, decode.d7.loss_cls: 0.3144, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7695, decode.d8.loss_cls: 0.3133, decode.d8.loss_mask: 0.5199, decode.d8.loss_dice: 0.7711, loss: 17.9223 2022-09-15 21:03:19,096 - mmseg - INFO - Iter [41700/80000] lr: 6.874e-07, eta: 22:06:31, time: 1.962, data_time: 0.063, memory: 47124, decode.loss_cls: 0.2794, decode.loss_mask: 0.5014, decode.loss_dice: 0.7375, decode.d0.loss_cls: 1.7948, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3807, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.7889, decode.d2.loss_cls: 0.3262, decode.d2.loss_mask: 0.5135, decode.d2.loss_dice: 0.7641, decode.d3.loss_cls: 0.3094, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7490, decode.d4.loss_cls: 0.3002, decode.d4.loss_mask: 0.5069, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2944, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7437, decode.d6.loss_cls: 0.2867, decode.d6.loss_mask: 0.4994, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2838, decode.d7.loss_mask: 0.5027, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2797, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7371, loss: 17.2232 2022-09-15 21:04:53,492 - mmseg - INFO - Iter [41750/80000] lr: 6.865e-07, eta: 22:04:27, time: 1.888, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2953, decode.loss_mask: 0.5171, decode.loss_dice: 0.7399, decode.d0.loss_cls: 1.7790, decode.d0.loss_mask: 0.5480, decode.d0.loss_dice: 0.8536, decode.d1.loss_cls: 0.3904, decode.d1.loss_mask: 0.5503, decode.d1.loss_dice: 0.7970, decode.d2.loss_cls: 0.3401, decode.d2.loss_mask: 0.5314, decode.d2.loss_dice: 0.7749, decode.d3.loss_cls: 0.3216, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7523, decode.d4.loss_cls: 0.3130, decode.d4.loss_mask: 0.5187, decode.d4.loss_dice: 0.7470, decode.d5.loss_cls: 0.3052, decode.d5.loss_mask: 0.5191, decode.d5.loss_dice: 0.7453, decode.d6.loss_cls: 0.3035, decode.d6.loss_mask: 0.5180, decode.d6.loss_dice: 0.7404, decode.d7.loss_cls: 0.2989, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7400, decode.d8.loss_cls: 0.2950, decode.d8.loss_mask: 0.5173, decode.d8.loss_dice: 0.7416, loss: 17.5298 2022-09-15 21:06:27,828 - mmseg - INFO - Iter [41800/80000] lr: 6.856e-07, eta: 22:02:23, time: 1.887, data_time: 0.014, memory: 47124, decode.loss_cls: 0.3012, decode.loss_mask: 0.5234, decode.loss_dice: 0.7583, decode.d0.loss_cls: 1.7760, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8581, decode.d1.loss_cls: 0.3889, decode.d1.loss_mask: 0.5481, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3451, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.7839, decode.d3.loss_cls: 0.3220, decode.d3.loss_mask: 0.5250, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.3125, decode.d4.loss_mask: 0.5263, decode.d4.loss_dice: 0.7680, decode.d5.loss_cls: 0.3080, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7670, decode.d6.loss_cls: 0.3061, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7594, decode.d7.loss_cls: 0.2998, decode.d7.loss_mask: 0.5226, decode.d7.loss_dice: 0.7579, decode.d8.loss_cls: 0.2991, decode.d8.loss_mask: 0.5210, decode.d8.loss_dice: 0.7593, loss: 17.7508 2022-09-15 21:08:03,035 - mmseg - INFO - Iter [41850/80000] lr: 6.847e-07, eta: 22:00:20, time: 1.904, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3104, decode.loss_mask: 0.5238, decode.loss_dice: 0.7901, decode.d0.loss_cls: 1.7479, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.3909, decode.d1.loss_mask: 0.5507, decode.d1.loss_dice: 0.8537, decode.d2.loss_cls: 0.3562, decode.d2.loss_mask: 0.5370, decode.d2.loss_dice: 0.8117, decode.d3.loss_cls: 0.3368, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.8046, decode.d4.loss_cls: 0.3270, decode.d4.loss_mask: 0.5286, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.3200, decode.d5.loss_mask: 0.5270, decode.d5.loss_dice: 0.7962, decode.d6.loss_cls: 0.3208, decode.d6.loss_mask: 0.5239, decode.d6.loss_dice: 0.7905, decode.d7.loss_cls: 0.3121, decode.d7.loss_mask: 0.5291, decode.d7.loss_dice: 0.7909, decode.d8.loss_cls: 0.3164, decode.d8.loss_mask: 0.5254, decode.d8.loss_dice: 0.7937, loss: 18.1844 2022-09-15 21:09:36,485 - mmseg - INFO - Iter [41900/80000] lr: 6.838e-07, eta: 21:58:14, time: 1.869, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2996, decode.loss_mask: 0.5362, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.7373, decode.d0.loss_mask: 0.5771, decode.d0.loss_dice: 0.8595, decode.d1.loss_cls: 0.3807, decode.d1.loss_mask: 0.5659, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3334, decode.d2.loss_mask: 0.5538, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.3200, decode.d3.loss_mask: 0.5464, decode.d3.loss_dice: 0.7693, decode.d4.loss_cls: 0.3073, decode.d4.loss_mask: 0.5438, decode.d4.loss_dice: 0.7691, decode.d5.loss_cls: 0.3034, decode.d5.loss_mask: 0.5415, decode.d5.loss_dice: 0.7632, decode.d6.loss_cls: 0.3033, decode.d6.loss_mask: 0.5398, decode.d6.loss_dice: 0.7566, decode.d7.loss_cls: 0.2968, decode.d7.loss_mask: 0.5382, decode.d7.loss_dice: 0.7553, decode.d8.loss_cls: 0.2952, decode.d8.loss_mask: 0.5376, decode.d8.loss_dice: 0.7574, loss: 17.8300 2022-09-15 21:11:11,721 - mmseg - INFO - Iter [41950/80000] lr: 6.829e-07, eta: 21:56:12, time: 1.905, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3006, decode.loss_mask: 0.5181, decode.loss_dice: 0.7434, decode.d0.loss_cls: 1.7399, decode.d0.loss_mask: 0.5463, decode.d0.loss_dice: 0.8470, decode.d1.loss_cls: 0.3740, decode.d1.loss_mask: 0.5424, decode.d1.loss_dice: 0.7996, decode.d2.loss_cls: 0.3337, decode.d2.loss_mask: 0.5297, decode.d2.loss_dice: 0.7777, decode.d3.loss_cls: 0.3169, decode.d3.loss_mask: 0.5246, decode.d3.loss_dice: 0.7631, decode.d4.loss_cls: 0.3066, decode.d4.loss_mask: 0.5220, decode.d4.loss_dice: 0.7607, decode.d5.loss_cls: 0.3000, decode.d5.loss_mask: 0.5170, decode.d5.loss_dice: 0.7554, decode.d6.loss_cls: 0.2999, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7486, decode.d7.loss_cls: 0.2932, decode.d7.loss_mask: 0.5188, decode.d7.loss_dice: 0.7453, decode.d8.loss_cls: 0.2979, decode.d8.loss_mask: 0.5171, decode.d8.loss_dice: 0.7473, loss: 17.5051 2022-09-15 21:12:44,879 - mmseg - INFO - Saving checkpoint at 42000 iterations 2022-09-15 21:13:20,294 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 21:13:20,301 - mmseg - INFO - Iter [42000/80000] lr: 6.820e-07, eta: 21:55:21, time: 2.569, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3219, decode.loss_mask: 0.4982, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.8487, decode.d0.loss_mask: 0.5398, decode.d0.loss_dice: 0.8573, decode.d1.loss_cls: 0.4162, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.8006, decode.d2.loss_cls: 0.3646, decode.d2.loss_mask: 0.5118, decode.d2.loss_dice: 0.7665, decode.d3.loss_cls: 0.3511, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.3366, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7483, decode.d5.loss_cls: 0.3270, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7413, decode.d6.loss_cls: 0.3295, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7343, decode.d7.loss_cls: 0.3257, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7349, decode.d8.loss_cls: 0.3202, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7333, loss: 17.6139 2022-09-15 21:14:55,452 - mmseg - INFO - Iter [42050/80000] lr: 6.811e-07, eta: 21:53:19, time: 1.906, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2901, decode.loss_mask: 0.5000, decode.loss_dice: 0.7421, decode.d0.loss_cls: 1.8017, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8562, decode.d1.loss_cls: 0.3858, decode.d1.loss_mask: 0.5242, decode.d1.loss_dice: 0.7973, decode.d2.loss_cls: 0.3318, decode.d2.loss_mask: 0.5138, decode.d2.loss_dice: 0.7733, decode.d3.loss_cls: 0.3215, decode.d3.loss_mask: 0.5096, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.3091, decode.d4.loss_mask: 0.5072, decode.d4.loss_dice: 0.7577, decode.d5.loss_cls: 0.3082, decode.d5.loss_mask: 0.5023, decode.d5.loss_dice: 0.7477, decode.d6.loss_cls: 0.2985, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7403, decode.d7.loss_cls: 0.2921, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7446, decode.d8.loss_cls: 0.2957, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.7454, loss: 17.3877 2022-09-15 21:16:29,131 - mmseg - INFO - Iter [42100/80000] lr: 6.802e-07, eta: 21:51:14, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3001, decode.loss_mask: 0.5208, decode.loss_dice: 0.7602, decode.d0.loss_cls: 1.7365, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8846, decode.d1.loss_cls: 0.3864, decode.d1.loss_mask: 0.5506, decode.d1.loss_dice: 0.8196, decode.d2.loss_cls: 0.3413, decode.d2.loss_mask: 0.5319, decode.d2.loss_dice: 0.7930, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5295, decode.d3.loss_dice: 0.7786, decode.d4.loss_cls: 0.3126, decode.d4.loss_mask: 0.5255, decode.d4.loss_dice: 0.7750, decode.d5.loss_cls: 0.3044, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7687, decode.d6.loss_cls: 0.3023, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7661, decode.d7.loss_cls: 0.2977, decode.d7.loss_mask: 0.5195, decode.d7.loss_dice: 0.7685, decode.d8.loss_cls: 0.2947, decode.d8.loss_mask: 0.5218, decode.d8.loss_dice: 0.7685, loss: 17.7821 2022-09-15 21:18:03,753 - mmseg - INFO - Iter [42150/80000] lr: 6.793e-07, eta: 21:49:11, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2946, decode.loss_mask: 0.5099, decode.loss_dice: 0.7444, decode.d0.loss_cls: 1.7327, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8543, decode.d1.loss_cls: 0.3869, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.7949, decode.d2.loss_cls: 0.3355, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7747, decode.d3.loss_cls: 0.3186, decode.d3.loss_mask: 0.5121, decode.d3.loss_dice: 0.7504, decode.d4.loss_cls: 0.3140, decode.d4.loss_mask: 0.5090, decode.d4.loss_dice: 0.7592, decode.d5.loss_cls: 0.3000, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7477, decode.d6.loss_cls: 0.3013, decode.d6.loss_mask: 0.5098, decode.d6.loss_dice: 0.7453, decode.d7.loss_cls: 0.2985, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7477, decode.d8.loss_cls: 0.2928, decode.d8.loss_mask: 0.5120, decode.d8.loss_dice: 0.7483, loss: 17.4017 2022-09-15 21:19:37,956 - mmseg - INFO - Iter [42200/80000] lr: 6.784e-07, eta: 21:47:07, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3006, decode.loss_mask: 0.5610, decode.loss_dice: 0.7593, decode.d0.loss_cls: 1.7375, decode.d0.loss_mask: 0.5904, decode.d0.loss_dice: 0.8639, decode.d1.loss_cls: 0.3780, decode.d1.loss_mask: 0.5848, decode.d1.loss_dice: 0.8141, decode.d2.loss_cls: 0.3320, decode.d2.loss_mask: 0.5690, decode.d2.loss_dice: 0.7881, decode.d3.loss_cls: 0.3175, decode.d3.loss_mask: 0.5640, decode.d3.loss_dice: 0.7633, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.3018, decode.d5.loss_mask: 0.5624, decode.d5.loss_dice: 0.7632, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.5620, decode.d6.loss_dice: 0.7574, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5596, decode.d7.loss_dice: 0.7577, decode.d8.loss_cls: 0.2976, decode.d8.loss_mask: 0.5599, decode.d8.loss_dice: 0.7567, loss: 18.0341 2022-09-15 21:21:11,497 - mmseg - INFO - Iter [42250/80000] lr: 6.775e-07, eta: 21:45:02, time: 1.871, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2910, decode.loss_mask: 0.5239, decode.loss_dice: 0.7490, decode.d0.loss_cls: 1.6963, decode.d0.loss_mask: 0.5614, decode.d0.loss_dice: 0.8473, decode.d1.loss_cls: 0.3662, decode.d1.loss_mask: 0.5468, decode.d1.loss_dice: 0.8046, decode.d2.loss_cls: 0.3260, decode.d2.loss_mask: 0.5323, decode.d2.loss_dice: 0.7723, decode.d3.loss_cls: 0.3134, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7559, decode.d4.loss_cls: 0.3016, decode.d4.loss_mask: 0.5275, decode.d4.loss_dice: 0.7555, decode.d5.loss_cls: 0.2983, decode.d5.loss_mask: 0.5249, decode.d5.loss_dice: 0.7548, decode.d6.loss_cls: 0.2945, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7415, decode.d7.loss_cls: 0.2914, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7486, decode.d8.loss_cls: 0.2887, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7497, loss: 17.4629 2022-09-15 21:22:45,384 - mmseg - INFO - Iter [42300/80000] lr: 6.766e-07, eta: 21:42:58, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2881, decode.loss_mask: 0.5340, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.7156, decode.d0.loss_mask: 0.5631, decode.d0.loss_dice: 0.8560, decode.d1.loss_cls: 0.3882, decode.d1.loss_mask: 0.5507, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3295, decode.d2.loss_mask: 0.5434, decode.d2.loss_dice: 0.7913, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.5379, decode.d3.loss_dice: 0.7732, decode.d4.loss_cls: 0.2994, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.2924, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.2954, decode.d6.loss_mask: 0.5363, decode.d6.loss_dice: 0.7649, decode.d7.loss_cls: 0.2875, decode.d7.loss_mask: 0.5364, decode.d7.loss_dice: 0.7644, decode.d8.loss_cls: 0.2820, decode.d8.loss_mask: 0.5358, decode.d8.loss_dice: 0.7693, loss: 17.7312 2022-09-15 21:24:21,024 - mmseg - INFO - Iter [42350/80000] lr: 6.757e-07, eta: 21:40:58, time: 1.913, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2985, decode.loss_mask: 0.5219, decode.loss_dice: 0.7537, decode.d0.loss_cls: 1.7525, decode.d0.loss_mask: 0.5534, decode.d0.loss_dice: 0.8723, decode.d1.loss_cls: 0.3806, decode.d1.loss_mask: 0.5483, decode.d1.loss_dice: 0.8127, decode.d2.loss_cls: 0.3302, decode.d2.loss_mask: 0.5337, decode.d2.loss_dice: 0.7808, decode.d3.loss_cls: 0.3204, decode.d3.loss_mask: 0.5302, decode.d3.loss_dice: 0.7682, decode.d4.loss_cls: 0.3062, decode.d4.loss_mask: 0.5289, decode.d4.loss_dice: 0.7664, decode.d5.loss_cls: 0.3072, decode.d5.loss_mask: 0.5248, decode.d5.loss_dice: 0.7576, decode.d6.loss_cls: 0.3098, decode.d6.loss_mask: 0.5205, decode.d6.loss_dice: 0.7532, decode.d7.loss_cls: 0.3044, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7607, decode.d8.loss_cls: 0.2996, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7566, loss: 17.6948 2022-09-15 21:25:55,308 - mmseg - INFO - Iter [42400/80000] lr: 6.748e-07, eta: 21:38:55, time: 1.886, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3044, decode.loss_mask: 0.5104, decode.loss_dice: 0.7471, decode.d0.loss_cls: 1.7826, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8480, decode.d1.loss_cls: 0.3916, decode.d1.loss_mask: 0.5422, decode.d1.loss_dice: 0.8013, decode.d2.loss_cls: 0.3478, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7705, decode.d3.loss_cls: 0.3328, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7587, decode.d4.loss_cls: 0.3216, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7535, decode.d5.loss_cls: 0.3149, decode.d5.loss_mask: 0.5120, decode.d5.loss_dice: 0.7517, decode.d6.loss_cls: 0.3108, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7523, decode.d7.loss_cls: 0.3071, decode.d7.loss_mask: 0.5109, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.5102, decode.d8.loss_dice: 0.7479, loss: 17.5930 2022-09-15 21:27:29,799 - mmseg - INFO - Iter [42450/80000] lr: 6.739e-07, eta: 21:36:53, time: 1.890, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3119, decode.loss_mask: 0.5151, decode.loss_dice: 0.7349, decode.d0.loss_cls: 1.7468, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8478, decode.d1.loss_cls: 0.3872, decode.d1.loss_mask: 0.5442, decode.d1.loss_dice: 0.8008, decode.d2.loss_cls: 0.3466, decode.d2.loss_mask: 0.5287, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.3310, decode.d3.loss_mask: 0.5244, decode.d3.loss_dice: 0.7472, decode.d4.loss_cls: 0.3236, decode.d4.loss_mask: 0.5216, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.3128, decode.d5.loss_mask: 0.5201, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.3151, decode.d6.loss_mask: 0.5157, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.3112, decode.d7.loss_mask: 0.5144, decode.d7.loss_dice: 0.7396, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7367, loss: 17.5501 2022-09-15 21:29:04,632 - mmseg - INFO - Iter [42500/80000] lr: 6.730e-07, eta: 21:34:52, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3152, decode.loss_mask: 0.5239, decode.loss_dice: 0.7594, decode.d0.loss_cls: 1.7730, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8685, decode.d1.loss_cls: 0.3998, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8175, decode.d2.loss_cls: 0.3523, decode.d2.loss_mask: 0.5372, decode.d2.loss_dice: 0.7856, decode.d3.loss_cls: 0.3368, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.7714, decode.d4.loss_cls: 0.3284, decode.d4.loss_mask: 0.5248, decode.d4.loss_dice: 0.7639, decode.d5.loss_cls: 0.3216, decode.d5.loss_mask: 0.5260, decode.d5.loss_dice: 0.7654, decode.d6.loss_cls: 0.3190, decode.d6.loss_mask: 0.5250, decode.d6.loss_dice: 0.7622, decode.d7.loss_cls: 0.3143, decode.d7.loss_mask: 0.5274, decode.d7.loss_dice: 0.7561, decode.d8.loss_cls: 0.3118, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7539, loss: 17.9002 2022-09-15 21:30:39,342 - mmseg - INFO - Iter [42550/80000] lr: 6.721e-07, eta: 21:32:50, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3139, decode.loss_mask: 0.4989, decode.loss_dice: 0.7485, decode.d0.loss_cls: 1.7840, decode.d0.loss_mask: 0.5269, decode.d0.loss_dice: 0.8571, decode.d1.loss_cls: 0.3926, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.8043, decode.d2.loss_cls: 0.3420, decode.d2.loss_mask: 0.5164, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.3296, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7619, decode.d4.loss_cls: 0.3237, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7600, decode.d5.loss_cls: 0.3171, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7551, decode.d6.loss_cls: 0.3170, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7484, decode.d7.loss_cls: 0.3131, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.3127, decode.d8.loss_mask: 0.4996, decode.d8.loss_dice: 0.7502, loss: 17.5300 2022-09-15 21:32:14,448 - mmseg - INFO - Iter [42600/80000] lr: 6.713e-07, eta: 21:30:50, time: 1.902, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3003, decode.loss_mask: 0.5222, decode.loss_dice: 0.7530, decode.d0.loss_cls: 1.7504, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8420, decode.d1.loss_cls: 0.3857, decode.d1.loss_mask: 0.5433, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.3343, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.7777, decode.d3.loss_cls: 0.3226, decode.d3.loss_mask: 0.5277, decode.d3.loss_dice: 0.7634, decode.d4.loss_cls: 0.3122, decode.d4.loss_mask: 0.5248, decode.d4.loss_dice: 0.7658, decode.d5.loss_cls: 0.3087, decode.d5.loss_mask: 0.5229, decode.d5.loss_dice: 0.7551, decode.d6.loss_cls: 0.3107, decode.d6.loss_mask: 0.5215, decode.d6.loss_dice: 0.7562, decode.d7.loss_cls: 0.3027, decode.d7.loss_mask: 0.5223, decode.d7.loss_dice: 0.7566, decode.d8.loss_cls: 0.3001, decode.d8.loss_mask: 0.5231, decode.d8.loss_dice: 0.7562, loss: 17.6446 2022-09-15 21:33:48,471 - mmseg - INFO - Iter [42650/80000] lr: 6.704e-07, eta: 21:28:47, time: 1.880, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3053, decode.loss_mask: 0.5143, decode.loss_dice: 0.7637, decode.d0.loss_cls: 1.7872, decode.d0.loss_mask: 0.5428, decode.d0.loss_dice: 0.8822, decode.d1.loss_cls: 0.3896, decode.d1.loss_mask: 0.5396, decode.d1.loss_dice: 0.8275, decode.d2.loss_cls: 0.3426, decode.d2.loss_mask: 0.5275, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3298, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7780, decode.d4.loss_cls: 0.3144, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7755, decode.d5.loss_cls: 0.3142, decode.d5.loss_mask: 0.5148, decode.d5.loss_dice: 0.7692, decode.d6.loss_cls: 0.3097, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7655, decode.d7.loss_cls: 0.3077, decode.d7.loss_mask: 0.5161, decode.d7.loss_dice: 0.7682, decode.d8.loss_cls: 0.3064, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7661, loss: 17.8123 2022-09-15 21:35:23,209 - mmseg - INFO - Iter [42700/80000] lr: 6.695e-07, eta: 21:26:46, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3115, decode.loss_mask: 0.5217, decode.loss_dice: 0.7624, decode.d0.loss_cls: 1.7737, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8788, decode.d1.loss_cls: 0.3920, decode.d1.loss_mask: 0.5492, decode.d1.loss_dice: 0.8153, decode.d2.loss_cls: 0.3493, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.7929, decode.d3.loss_cls: 0.3319, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.3207, decode.d4.loss_mask: 0.5271, decode.d4.loss_dice: 0.7700, decode.d5.loss_cls: 0.3121, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7615, decode.d6.loss_cls: 0.3126, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.3127, decode.d7.loss_mask: 0.5228, decode.d7.loss_dice: 0.7604, decode.d8.loss_cls: 0.3065, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7646, loss: 17.8797 2022-09-15 21:36:58,754 - mmseg - INFO - Iter [42750/80000] lr: 6.686e-07, eta: 21:24:47, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2964, decode.loss_mask: 0.5330, decode.loss_dice: 0.7654, decode.d0.loss_cls: 1.7332, decode.d0.loss_mask: 0.5667, decode.d0.loss_dice: 0.8641, decode.d1.loss_cls: 0.3747, decode.d1.loss_mask: 0.5580, decode.d1.loss_dice: 0.8191, decode.d2.loss_cls: 0.3351, decode.d2.loss_mask: 0.5464, decode.d2.loss_dice: 0.7921, decode.d3.loss_cls: 0.3177, decode.d3.loss_mask: 0.5417, decode.d3.loss_dice: 0.7796, decode.d4.loss_cls: 0.3117, decode.d4.loss_mask: 0.5365, decode.d4.loss_dice: 0.7779, decode.d5.loss_cls: 0.3065, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.7749, decode.d6.loss_cls: 0.3009, decode.d6.loss_mask: 0.5358, decode.d6.loss_dice: 0.7664, decode.d7.loss_cls: 0.3017, decode.d7.loss_mask: 0.5309, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.5338, decode.d8.loss_dice: 0.7693, loss: 17.8714 2022-09-15 21:38:33,004 - mmseg - INFO - Iter [42800/80000] lr: 6.677e-07, eta: 21:22:45, time: 1.884, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3172, decode.loss_mask: 0.5056, decode.loss_dice: 0.7629, decode.d0.loss_cls: 1.7509, decode.d0.loss_mask: 0.5380, decode.d0.loss_dice: 0.8781, decode.d1.loss_cls: 0.4026, decode.d1.loss_mask: 0.5340, decode.d1.loss_dice: 0.8264, decode.d2.loss_cls: 0.3528, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7849, decode.d3.loss_cls: 0.3350, decode.d3.loss_mask: 0.5113, decode.d3.loss_dice: 0.7674, decode.d4.loss_cls: 0.3258, decode.d4.loss_mask: 0.5100, decode.d4.loss_dice: 0.7717, decode.d5.loss_cls: 0.3176, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7639, decode.d6.loss_cls: 0.3166, decode.d6.loss_mask: 0.5061, decode.d6.loss_dice: 0.7634, decode.d7.loss_cls: 0.3139, decode.d7.loss_mask: 0.5043, decode.d7.loss_dice: 0.7635, decode.d8.loss_cls: 0.3141, decode.d8.loss_mask: 0.5045, decode.d8.loss_dice: 0.7653, loss: 17.7320 2022-09-15 21:40:06,395 - mmseg - INFO - Iter [42850/80000] lr: 6.668e-07, eta: 21:20:42, time: 1.868, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2974, decode.loss_mask: 0.4980, decode.loss_dice: 0.7610, decode.d0.loss_cls: 1.7973, decode.d0.loss_mask: 0.5283, decode.d0.loss_dice: 0.8753, decode.d1.loss_cls: 0.3895, decode.d1.loss_mask: 0.5235, decode.d1.loss_dice: 0.8189, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7897, decode.d3.loss_cls: 0.3245, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7771, decode.d4.loss_cls: 0.3107, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7738, decode.d5.loss_cls: 0.3070, decode.d5.loss_mask: 0.5039, decode.d5.loss_dice: 0.7695, decode.d6.loss_cls: 0.2952, decode.d6.loss_mask: 0.5021, decode.d6.loss_dice: 0.7625, decode.d7.loss_cls: 0.2981, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7644, decode.d8.loss_cls: 0.2989, decode.d8.loss_mask: 0.4992, decode.d8.loss_dice: 0.7625, loss: 17.5864 2022-09-15 21:41:39,479 - mmseg - INFO - Iter [42900/80000] lr: 6.659e-07, eta: 21:18:38, time: 1.862, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3087, decode.loss_mask: 0.5189, decode.loss_dice: 0.7686, decode.d0.loss_cls: 1.7895, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8698, decode.d1.loss_cls: 0.3998, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3457, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.7915, decode.d3.loss_cls: 0.3319, decode.d3.loss_mask: 0.5252, decode.d3.loss_dice: 0.7832, decode.d4.loss_cls: 0.3227, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7758, decode.d5.loss_cls: 0.3136, decode.d5.loss_mask: 0.5200, decode.d5.loss_dice: 0.7767, decode.d6.loss_cls: 0.3103, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7706, decode.d7.loss_cls: 0.3070, decode.d7.loss_mask: 0.5195, decode.d7.loss_dice: 0.7700, decode.d8.loss_cls: 0.3080, decode.d8.loss_mask: 0.5195, decode.d8.loss_dice: 0.7673, loss: 17.9081 2022-09-15 21:43:13,087 - mmseg - INFO - Iter [42950/80000] lr: 6.650e-07, eta: 21:16:36, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2903, decode.loss_mask: 0.5061, decode.loss_dice: 0.7402, decode.d0.loss_cls: 1.7451, decode.d0.loss_mask: 0.5448, decode.d0.loss_dice: 0.8490, decode.d1.loss_cls: 0.3829, decode.d1.loss_mask: 0.5348, decode.d1.loss_dice: 0.7937, decode.d2.loss_cls: 0.3238, decode.d2.loss_mask: 0.5233, decode.d2.loss_dice: 0.7681, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.5123, decode.d3.loss_dice: 0.7471, decode.d4.loss_cls: 0.2999, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7457, decode.d5.loss_cls: 0.2898, decode.d5.loss_mask: 0.5095, decode.d5.loss_dice: 0.7435, decode.d6.loss_cls: 0.2881, decode.d6.loss_mask: 0.5077, decode.d6.loss_dice: 0.7422, decode.d7.loss_cls: 0.2883, decode.d7.loss_mask: 0.5076, decode.d7.loss_dice: 0.7403, decode.d8.loss_cls: 0.2912, decode.d8.loss_mask: 0.5069, decode.d8.loss_dice: 0.7400, loss: 17.2828 2022-09-15 21:44:48,640 - mmseg - INFO - Saving checkpoint at 43000 iterations 2022-09-15 21:45:21,754 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 21:45:21,761 - mmseg - INFO - Iter [43000/80000] lr: 6.641e-07, eta: 21:15:41, time: 2.571, data_time: 0.064, memory: 47124, decode.loss_cls: 0.3008, decode.loss_mask: 0.5229, decode.loss_dice: 0.7615, decode.d0.loss_cls: 1.7573, decode.d0.loss_mask: 0.5557, decode.d0.loss_dice: 0.8702, decode.d1.loss_cls: 0.3830, decode.d1.loss_mask: 0.5449, decode.d1.loss_dice: 0.8103, decode.d2.loss_cls: 0.3348, decode.d2.loss_mask: 0.5360, decode.d2.loss_dice: 0.7929, decode.d3.loss_cls: 0.3208, decode.d3.loss_mask: 0.5283, decode.d3.loss_dice: 0.7735, decode.d4.loss_cls: 0.3159, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.7690, decode.d5.loss_cls: 0.3056, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7647, decode.d6.loss_cls: 0.3037, decode.d6.loss_mask: 0.5220, decode.d6.loss_dice: 0.7606, decode.d7.loss_cls: 0.3029, decode.d7.loss_mask: 0.5227, decode.d7.loss_dice: 0.7671, decode.d8.loss_cls: 0.3002, decode.d8.loss_mask: 0.5215, decode.d8.loss_dice: 0.7623, loss: 17.7613 2022-09-15 21:46:57,282 - mmseg - INFO - Iter [43050/80000] lr: 6.632e-07, eta: 21:13:43, time: 1.913, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3098, decode.loss_mask: 0.5055, decode.loss_dice: 0.7530, decode.d0.loss_cls: 1.8104, decode.d0.loss_mask: 0.5356, decode.d0.loss_dice: 0.8626, decode.d1.loss_cls: 0.3966, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.8099, decode.d2.loss_cls: 0.3333, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7876, decode.d3.loss_cls: 0.3240, decode.d3.loss_mask: 0.5076, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.3127, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7703, decode.d5.loss_cls: 0.3079, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7665, decode.d6.loss_cls: 0.3072, decode.d6.loss_mask: 0.5086, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.3123, decode.d7.loss_mask: 0.5053, decode.d7.loss_dice: 0.7533, decode.d8.loss_cls: 0.3095, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7581, loss: 17.6439 2022-09-15 21:48:32,451 - mmseg - INFO - Iter [43100/80000] lr: 6.623e-07, eta: 21:11:43, time: 1.903, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2956, decode.loss_mask: 0.4933, decode.loss_dice: 0.7350, decode.d0.loss_cls: 1.7538, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.8366, decode.d1.loss_cls: 0.3804, decode.d1.loss_mask: 0.5234, decode.d1.loss_dice: 0.7914, decode.d2.loss_cls: 0.3315, decode.d2.loss_mask: 0.5075, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.3204, decode.d3.loss_mask: 0.4982, decode.d3.loss_dice: 0.7471, decode.d4.loss_cls: 0.3053, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7433, decode.d5.loss_cls: 0.3012, decode.d5.loss_mask: 0.4936, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7371, decode.d7.loss_cls: 0.2909, decode.d7.loss_mask: 0.4924, decode.d7.loss_dice: 0.7382, decode.d8.loss_cls: 0.2919, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7357, loss: 17.1560 2022-09-15 21:50:08,075 - mmseg - INFO - Iter [43150/80000] lr: 6.614e-07, eta: 21:09:45, time: 1.912, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2939, decode.loss_mask: 0.5062, decode.loss_dice: 0.7393, decode.d0.loss_cls: 1.7632, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8519, decode.d1.loss_cls: 0.3844, decode.d1.loss_mask: 0.5347, decode.d1.loss_dice: 0.8027, decode.d2.loss_cls: 0.3389, decode.d2.loss_mask: 0.5213, decode.d2.loss_dice: 0.7684, decode.d3.loss_cls: 0.3245, decode.d3.loss_mask: 0.5139, decode.d3.loss_dice: 0.7534, decode.d4.loss_cls: 0.3144, decode.d4.loss_mask: 0.5107, decode.d4.loss_dice: 0.7481, decode.d5.loss_cls: 0.3055, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7487, decode.d6.loss_cls: 0.3027, decode.d6.loss_mask: 0.5079, decode.d6.loss_dice: 0.7383, decode.d7.loss_cls: 0.2982, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7392, decode.d8.loss_cls: 0.2920, decode.d8.loss_mask: 0.5076, decode.d8.loss_dice: 0.7426, loss: 17.4102 2022-09-15 21:51:42,340 - mmseg - INFO - Iter [43200/80000] lr: 6.605e-07, eta: 21:07:44, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2766, decode.loss_mask: 0.5179, decode.loss_dice: 0.7453, decode.d0.loss_cls: 1.7686, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8587, decode.d1.loss_cls: 0.3712, decode.d1.loss_mask: 0.5404, decode.d1.loss_dice: 0.8044, decode.d2.loss_cls: 0.3210, decode.d2.loss_mask: 0.5274, decode.d2.loss_dice: 0.7776, decode.d3.loss_cls: 0.2996, decode.d3.loss_mask: 0.5214, decode.d3.loss_dice: 0.7582, decode.d4.loss_cls: 0.2930, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.7576, decode.d5.loss_cls: 0.2803, decode.d5.loss_mask: 0.5201, decode.d5.loss_dice: 0.7576, decode.d6.loss_cls: 0.2797, decode.d6.loss_mask: 0.5185, decode.d6.loss_dice: 0.7534, decode.d7.loss_cls: 0.2773, decode.d7.loss_mask: 0.5171, decode.d7.loss_dice: 0.7473, decode.d8.loss_cls: 0.2805, decode.d8.loss_mask: 0.5159, decode.d8.loss_dice: 0.7504, loss: 17.4069 2022-09-15 21:53:18,027 - mmseg - INFO - Iter [43250/80000] lr: 6.596e-07, eta: 21:05:46, time: 1.914, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2945, decode.loss_mask: 0.5144, decode.loss_dice: 0.7538, decode.d0.loss_cls: 1.7783, decode.d0.loss_mask: 0.5536, decode.d0.loss_dice: 0.8691, decode.d1.loss_cls: 0.3894, decode.d1.loss_mask: 0.5476, decode.d1.loss_dice: 0.8092, decode.d2.loss_cls: 0.3312, decode.d2.loss_mask: 0.5358, decode.d2.loss_dice: 0.7845, decode.d3.loss_cls: 0.3142, decode.d3.loss_mask: 0.5255, decode.d3.loss_dice: 0.7719, decode.d4.loss_cls: 0.3108, decode.d4.loss_mask: 0.5240, decode.d4.loss_dice: 0.7721, decode.d5.loss_cls: 0.3056, decode.d5.loss_mask: 0.5190, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2986, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7505, decode.d7.loss_cls: 0.2966, decode.d7.loss_mask: 0.5156, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.2971, decode.d8.loss_mask: 0.5140, decode.d8.loss_dice: 0.7588, loss: 17.6606 2022-09-15 21:54:52,661 - mmseg - INFO - Iter [43300/80000] lr: 6.587e-07, eta: 21:03:46, time: 1.893, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3000, decode.loss_mask: 0.5143, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.7403, decode.d0.loss_mask: 0.5592, decode.d0.loss_dice: 0.8405, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5455, decode.d1.loss_dice: 0.7881, decode.d2.loss_cls: 0.3301, decode.d2.loss_mask: 0.5279, decode.d2.loss_dice: 0.7612, decode.d3.loss_cls: 0.3110, decode.d3.loss_mask: 0.5224, decode.d3.loss_dice: 0.7440, decode.d4.loss_cls: 0.3005, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7446, decode.d5.loss_cls: 0.2993, decode.d5.loss_mask: 0.5150, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.3002, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7317, decode.d7.loss_cls: 0.2966, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7288, decode.d8.loss_cls: 0.2987, decode.d8.loss_mask: 0.5144, decode.d8.loss_dice: 0.7309, loss: 17.3231 2022-09-15 21:56:28,026 - mmseg - INFO - Iter [43350/80000] lr: 6.578e-07, eta: 21:01:48, time: 1.907, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3003, decode.loss_mask: 0.4998, decode.loss_dice: 0.7492, decode.d0.loss_cls: 1.7698, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8685, decode.d1.loss_cls: 0.3978, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.8011, decode.d2.loss_cls: 0.3453, decode.d2.loss_mask: 0.5113, decode.d2.loss_dice: 0.7752, decode.d3.loss_cls: 0.3259, decode.d3.loss_mask: 0.5068, decode.d3.loss_dice: 0.7570, decode.d4.loss_cls: 0.3155, decode.d4.loss_mask: 0.5062, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.3057, decode.d5.loss_mask: 0.5047, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.3037, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7511, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7513, decode.d8.loss_cls: 0.2994, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7488, loss: 17.4619 2022-09-15 21:58:03,357 - mmseg - INFO - Iter [43400/80000] lr: 6.569e-07, eta: 20:59:50, time: 1.907, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3063, decode.loss_mask: 0.5126, decode.loss_dice: 0.7572, decode.d0.loss_cls: 1.7407, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8506, decode.d1.loss_cls: 0.3750, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.8078, decode.d2.loss_cls: 0.3372, decode.d2.loss_mask: 0.5253, decode.d2.loss_dice: 0.7797, decode.d3.loss_cls: 0.3197, decode.d3.loss_mask: 0.5213, decode.d3.loss_dice: 0.7650, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5211, decode.d4.loss_dice: 0.7606, decode.d5.loss_cls: 0.3143, decode.d5.loss_mask: 0.5195, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.3082, decode.d6.loss_mask: 0.5155, decode.d6.loss_dice: 0.7523, decode.d7.loss_cls: 0.3096, decode.d7.loss_mask: 0.5123, decode.d7.loss_dice: 0.7514, decode.d8.loss_cls: 0.3022, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7573, loss: 17.5963 2022-09-15 21:59:37,004 - mmseg - INFO - Iter [43450/80000] lr: 6.560e-07, eta: 20:57:48, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3224, decode.loss_mask: 0.5091, decode.loss_dice: 0.7659, decode.d0.loss_cls: 1.8075, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.4155, decode.d1.loss_mask: 0.5380, decode.d1.loss_dice: 0.8264, decode.d2.loss_cls: 0.3659, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.7882, decode.d3.loss_cls: 0.3472, decode.d3.loss_mask: 0.5177, decode.d3.loss_dice: 0.7736, decode.d4.loss_cls: 0.3374, decode.d4.loss_mask: 0.5174, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.3281, decode.d5.loss_mask: 0.5142, decode.d5.loss_dice: 0.7672, decode.d6.loss_cls: 0.3261, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7622, decode.d7.loss_cls: 0.3213, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7687, decode.d8.loss_cls: 0.3210, decode.d8.loss_mask: 0.5078, decode.d8.loss_dice: 0.7645, loss: 17.9574 2022-09-15 22:01:10,079 - mmseg - INFO - Iter [43500/80000] lr: 6.551e-07, eta: 20:55:46, time: 1.862, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2717, decode.loss_mask: 0.5046, decode.loss_dice: 0.7373, decode.d0.loss_cls: 1.7019, decode.d0.loss_mask: 0.5385, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3626, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.7925, decode.d2.loss_cls: 0.3100, decode.d2.loss_mask: 0.5237, decode.d2.loss_dice: 0.7710, decode.d3.loss_cls: 0.2955, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7524, decode.d4.loss_cls: 0.2878, decode.d4.loss_mask: 0.5124, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2794, decode.d5.loss_mask: 0.5094, decode.d5.loss_dice: 0.7448, decode.d6.loss_cls: 0.2761, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2748, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2754, decode.d8.loss_mask: 0.5052, decode.d8.loss_dice: 0.7352, loss: 17.0945 2022-09-15 22:02:43,370 - mmseg - INFO - Iter [43550/80000] lr: 6.542e-07, eta: 20:53:44, time: 1.866, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2851, decode.loss_mask: 0.5114, decode.loss_dice: 0.7459, decode.d0.loss_cls: 1.7767, decode.d0.loss_mask: 0.5429, decode.d0.loss_dice: 0.8544, decode.d1.loss_cls: 0.3858, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.8068, decode.d2.loss_cls: 0.3341, decode.d2.loss_mask: 0.5231, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.3163, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7652, decode.d4.loss_cls: 0.3027, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7611, decode.d5.loss_cls: 0.2950, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7566, decode.d6.loss_cls: 0.2935, decode.d6.loss_mask: 0.5130, decode.d6.loss_dice: 0.7496, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5152, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2912, decode.d8.loss_mask: 0.5128, decode.d8.loss_dice: 0.7485, loss: 17.4870 2022-09-15 22:04:18,220 - mmseg - INFO - Iter [43600/80000] lr: 6.533e-07, eta: 20:51:45, time: 1.895, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3027, decode.loss_mask: 0.5151, decode.loss_dice: 0.7379, decode.d0.loss_cls: 1.7431, decode.d0.loss_mask: 0.5541, decode.d0.loss_dice: 0.8404, decode.d1.loss_cls: 0.3855, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.7958, decode.d2.loss_cls: 0.3425, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.7610, decode.d3.loss_cls: 0.3309, decode.d3.loss_mask: 0.5180, decode.d3.loss_dice: 0.7430, decode.d4.loss_cls: 0.3200, decode.d4.loss_mask: 0.5145, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.3072, decode.d5.loss_mask: 0.5161, decode.d5.loss_dice: 0.7441, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5124, decode.d6.loss_dice: 0.7363, decode.d7.loss_cls: 0.3030, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7405, decode.d8.loss_cls: 0.2993, decode.d8.loss_mask: 0.5146, decode.d8.loss_dice: 0.7364, loss: 17.4494 2022-09-15 22:05:52,466 - mmseg - INFO - Iter [43650/80000] lr: 6.524e-07, eta: 20:49:46, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2839, decode.loss_mask: 0.5174, decode.loss_dice: 0.7462, decode.d0.loss_cls: 1.7626, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8537, decode.d1.loss_cls: 0.3674, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8100, decode.d2.loss_cls: 0.3248, decode.d2.loss_mask: 0.5330, decode.d2.loss_dice: 0.7792, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.5283, decode.d3.loss_dice: 0.7546, decode.d4.loss_cls: 0.3006, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.7529, decode.d5.loss_cls: 0.2954, decode.d5.loss_mask: 0.5176, decode.d5.loss_dice: 0.7497, decode.d6.loss_cls: 0.2876, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.7460, decode.d7.loss_cls: 0.2865, decode.d7.loss_mask: 0.5182, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2854, decode.d8.loss_mask: 0.5184, decode.d8.loss_dice: 0.7445, loss: 17.4630 2022-09-15 22:07:27,915 - mmseg - INFO - Iter [43700/80000] lr: 6.515e-07, eta: 20:47:49, time: 1.909, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2792, decode.loss_mask: 0.5045, decode.loss_dice: 0.7412, decode.d0.loss_cls: 1.7468, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8435, decode.d1.loss_cls: 0.3649, decode.d1.loss_mask: 0.5258, decode.d1.loss_dice: 0.7995, decode.d2.loss_cls: 0.3140, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7708, decode.d3.loss_cls: 0.3000, decode.d3.loss_mask: 0.5106, decode.d3.loss_dice: 0.7589, decode.d4.loss_cls: 0.2896, decode.d4.loss_mask: 0.5088, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2937, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7447, decode.d6.loss_cls: 0.2815, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7460, decode.d7.loss_cls: 0.2835, decode.d7.loss_mask: 0.5049, decode.d7.loss_dice: 0.7440, decode.d8.loss_cls: 0.2829, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7402, loss: 17.1995 2022-09-15 22:09:02,311 - mmseg - INFO - Iter [43750/80000] lr: 6.506e-07, eta: 20:45:49, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3024, decode.loss_mask: 0.5285, decode.loss_dice: 0.7697, decode.d0.loss_cls: 1.7200, decode.d0.loss_mask: 0.5621, decode.d0.loss_dice: 0.8813, decode.d1.loss_cls: 0.4010, decode.d1.loss_mask: 0.5557, decode.d1.loss_dice: 0.8256, decode.d2.loss_cls: 0.3419, decode.d2.loss_mask: 0.5373, decode.d2.loss_dice: 0.8019, decode.d3.loss_cls: 0.3223, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7842, decode.d4.loss_cls: 0.3179, decode.d4.loss_mask: 0.5309, decode.d4.loss_dice: 0.7789, decode.d5.loss_cls: 0.3083, decode.d5.loss_mask: 0.5286, decode.d5.loss_dice: 0.7785, decode.d6.loss_cls: 0.3079, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7718, decode.d7.loss_cls: 0.3036, decode.d7.loss_mask: 0.5287, decode.d7.loss_dice: 0.7732, decode.d8.loss_cls: 0.3010, decode.d8.loss_mask: 0.5286, decode.d8.loss_dice: 0.7733, loss: 17.9266 2022-09-15 22:10:37,260 - mmseg - INFO - Iter [43800/80000] lr: 6.497e-07, eta: 20:43:51, time: 1.899, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3115, decode.loss_mask: 0.5099, decode.loss_dice: 0.7379, decode.d0.loss_cls: 1.7961, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.4006, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.3483, decode.d2.loss_mask: 0.5262, decode.d2.loss_dice: 0.7725, decode.d3.loss_cls: 0.3387, decode.d3.loss_mask: 0.5204, decode.d3.loss_dice: 0.7570, decode.d4.loss_cls: 0.3323, decode.d4.loss_mask: 0.5173, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.3244, decode.d5.loss_mask: 0.5154, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.3197, decode.d6.loss_mask: 0.5127, decode.d6.loss_dice: 0.7439, decode.d7.loss_cls: 0.3138, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7396, decode.d8.loss_cls: 0.3167, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7380, loss: 17.6328 2022-09-15 22:12:12,450 - mmseg - INFO - Iter [43850/80000] lr: 6.488e-07, eta: 20:41:54, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2877, decode.loss_mask: 0.5234, decode.loss_dice: 0.7417, decode.d0.loss_cls: 1.7299, decode.d0.loss_mask: 0.5599, decode.d0.loss_dice: 0.8424, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5494, decode.d1.loss_dice: 0.7872, decode.d2.loss_cls: 0.3308, decode.d2.loss_mask: 0.5364, decode.d2.loss_dice: 0.7707, decode.d3.loss_cls: 0.3112, decode.d3.loss_mask: 0.5321, decode.d3.loss_dice: 0.7492, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5235, decode.d4.loss_dice: 0.7469, decode.d5.loss_cls: 0.2971, decode.d5.loss_mask: 0.5260, decode.d5.loss_dice: 0.7470, decode.d6.loss_cls: 0.2904, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.2905, decode.d7.loss_mask: 0.5229, decode.d7.loss_dice: 0.7407, decode.d8.loss_cls: 0.2919, decode.d8.loss_mask: 0.5218, decode.d8.loss_dice: 0.7438, loss: 17.4440 2022-09-15 22:13:45,423 - mmseg - INFO - Iter [43900/80000] lr: 6.479e-07, eta: 20:39:53, time: 1.860, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3081, decode.loss_mask: 0.5109, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.8150, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8669, decode.d1.loss_cls: 0.3861, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.8173, decode.d2.loss_cls: 0.3465, decode.d2.loss_mask: 0.5267, decode.d2.loss_dice: 0.7794, decode.d3.loss_cls: 0.3263, decode.d3.loss_mask: 0.5198, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.3265, decode.d4.loss_mask: 0.5126, decode.d4.loss_dice: 0.7552, decode.d5.loss_cls: 0.3158, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7568, decode.d6.loss_cls: 0.3124, decode.d6.loss_mask: 0.5088, decode.d6.loss_dice: 0.7484, decode.d7.loss_cls: 0.3070, decode.d7.loss_mask: 0.5092, decode.d7.loss_dice: 0.7535, decode.d8.loss_cls: 0.3055, decode.d8.loss_mask: 0.5082, decode.d8.loss_dice: 0.7526, loss: 17.6768 2022-09-15 22:15:21,272 - mmseg - INFO - Iter [43950/80000] lr: 6.470e-07, eta: 20:37:57, time: 1.917, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2911, decode.loss_mask: 0.5375, decode.loss_dice: 0.7591, decode.d0.loss_cls: 1.7641, decode.d0.loss_mask: 0.5737, decode.d0.loss_dice: 0.8728, decode.d1.loss_cls: 0.3736, decode.d1.loss_mask: 0.5626, decode.d1.loss_dice: 0.8130, decode.d2.loss_cls: 0.3317, decode.d2.loss_mask: 0.5474, decode.d2.loss_dice: 0.7821, decode.d3.loss_cls: 0.3155, decode.d3.loss_mask: 0.5407, decode.d3.loss_dice: 0.7619, decode.d4.loss_cls: 0.3066, decode.d4.loss_mask: 0.5399, decode.d4.loss_dice: 0.7594, decode.d5.loss_cls: 0.3040, decode.d5.loss_mask: 0.5384, decode.d5.loss_dice: 0.7606, decode.d6.loss_cls: 0.2980, decode.d6.loss_mask: 0.5385, decode.d6.loss_dice: 0.7601, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5366, decode.d7.loss_dice: 0.7584, decode.d8.loss_cls: 0.2915, decode.d8.loss_mask: 0.5374, decode.d8.loss_dice: 0.7607, loss: 17.8162 2022-09-15 22:16:56,723 - mmseg - INFO - Saving checkpoint at 44000 iterations 2022-09-15 22:17:28,345 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 22:17:28,353 - mmseg - INFO - Iter [44000/80000] lr: 6.461e-07, eta: 20:36:57, time: 2.539, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3124, decode.loss_mask: 0.5014, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.7696, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8545, decode.d1.loss_cls: 0.3904, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3494, decode.d2.loss_mask: 0.5139, decode.d2.loss_dice: 0.7803, decode.d3.loss_cls: 0.3316, decode.d3.loss_mask: 0.5087, decode.d3.loss_dice: 0.7622, decode.d4.loss_cls: 0.3278, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.7567, decode.d5.loss_cls: 0.3164, decode.d5.loss_mask: 0.5034, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.3136, decode.d6.loss_mask: 0.5012, decode.d6.loss_dice: 0.7516, decode.d7.loss_cls: 0.3133, decode.d7.loss_mask: 0.5023, decode.d7.loss_dice: 0.7479, decode.d8.loss_cls: 0.3106, decode.d8.loss_mask: 0.5026, decode.d8.loss_dice: 0.7513, loss: 17.5669 2022-09-15 22:19:03,769 - mmseg - INFO - Iter [44050/80000] lr: 6.452e-07, eta: 20:35:00, time: 1.911, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2872, decode.loss_mask: 0.5112, decode.loss_dice: 0.7748, decode.d0.loss_cls: 1.7187, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8700, decode.d1.loss_cls: 0.3618, decode.d1.loss_mask: 0.5328, decode.d1.loss_dice: 0.8206, decode.d2.loss_cls: 0.3198, decode.d2.loss_mask: 0.5201, decode.d2.loss_dice: 0.7971, decode.d3.loss_cls: 0.3074, decode.d3.loss_mask: 0.5152, decode.d3.loss_dice: 0.7870, decode.d4.loss_cls: 0.2975, decode.d4.loss_mask: 0.5150, decode.d4.loss_dice: 0.7795, decode.d5.loss_cls: 0.2980, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7780, decode.d6.loss_cls: 0.2927, decode.d6.loss_mask: 0.5082, decode.d6.loss_dice: 0.7743, decode.d7.loss_cls: 0.2907, decode.d7.loss_mask: 0.5119, decode.d7.loss_dice: 0.7729, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5143, decode.d8.loss_dice: 0.7719, loss: 17.5625 2022-09-15 22:20:39,171 - mmseg - INFO - Iter [44100/80000] lr: 6.443e-07, eta: 20:33:03, time: 1.908, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2988, decode.loss_mask: 0.5331, decode.loss_dice: 0.7708, decode.d0.loss_cls: 1.7130, decode.d0.loss_mask: 0.5607, decode.d0.loss_dice: 0.8727, decode.d1.loss_cls: 0.3841, decode.d1.loss_mask: 0.5566, decode.d1.loss_dice: 0.8197, decode.d2.loss_cls: 0.3397, decode.d2.loss_mask: 0.5461, decode.d2.loss_dice: 0.7870, decode.d3.loss_cls: 0.3258, decode.d3.loss_mask: 0.5375, decode.d3.loss_dice: 0.7779, decode.d4.loss_cls: 0.3120, decode.d4.loss_mask: 0.5355, decode.d4.loss_dice: 0.7739, decode.d5.loss_cls: 0.3101, decode.d5.loss_mask: 0.5358, decode.d5.loss_dice: 0.7701, decode.d6.loss_cls: 0.3084, decode.d6.loss_mask: 0.5340, decode.d6.loss_dice: 0.7679, decode.d7.loss_cls: 0.3024, decode.d7.loss_mask: 0.5282, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.3019, decode.d8.loss_mask: 0.5325, decode.d8.loss_dice: 0.7690, loss: 17.8725 2022-09-15 22:22:14,225 - mmseg - INFO - Iter [44150/80000] lr: 6.434e-07, eta: 20:31:06, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2921, decode.loss_mask: 0.5154, decode.loss_dice: 0.7569, decode.d0.loss_cls: 1.7360, decode.d0.loss_mask: 0.5545, decode.d0.loss_dice: 0.8676, decode.d1.loss_cls: 0.3568, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.8162, decode.d2.loss_cls: 0.3142, decode.d2.loss_mask: 0.5288, decode.d2.loss_dice: 0.7843, decode.d3.loss_cls: 0.3082, decode.d3.loss_mask: 0.5223, decode.d3.loss_dice: 0.7697, decode.d4.loss_cls: 0.2977, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7711, decode.d5.loss_cls: 0.2934, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7639, decode.d6.loss_cls: 0.2945, decode.d6.loss_mask: 0.5168, decode.d6.loss_dice: 0.7550, decode.d7.loss_cls: 0.2923, decode.d7.loss_mask: 0.5149, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2956, decode.d8.loss_mask: 0.5173, decode.d8.loss_dice: 0.7575, loss: 17.5340 2022-09-15 22:23:48,282 - mmseg - INFO - Iter [44200/80000] lr: 6.425e-07, eta: 20:29:07, time: 1.881, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3195, decode.loss_mask: 0.4923, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.7797, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.8542, decode.d1.loss_cls: 0.4105, decode.d1.loss_mask: 0.5177, decode.d1.loss_dice: 0.8107, decode.d2.loss_cls: 0.3586, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7707, decode.d3.loss_cls: 0.3402, decode.d3.loss_mask: 0.4993, decode.d3.loss_dice: 0.7627, decode.d4.loss_cls: 0.3368, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.3261, decode.d5.loss_mask: 0.4931, decode.d5.loss_dice: 0.7588, decode.d6.loss_cls: 0.3238, decode.d6.loss_mask: 0.4928, decode.d6.loss_dice: 0.7502, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.4912, decode.d7.loss_dice: 0.7546, decode.d8.loss_cls: 0.3211, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7537, loss: 17.5630 2022-09-15 22:25:25,567 - mmseg - INFO - Iter [44250/80000] lr: 6.416e-07, eta: 20:27:14, time: 1.945, data_time: 0.068, memory: 47124, decode.loss_cls: 0.2750, decode.loss_mask: 0.5071, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.7336, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3531, decode.d1.loss_mask: 0.5281, decode.d1.loss_dice: 0.7843, decode.d2.loss_cls: 0.3153, decode.d2.loss_mask: 0.5186, decode.d2.loss_dice: 0.7610, decode.d3.loss_cls: 0.3004, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7473, decode.d4.loss_cls: 0.2937, decode.d4.loss_mask: 0.5190, decode.d4.loss_dice: 0.7469, decode.d5.loss_cls: 0.2849, decode.d5.loss_mask: 0.5141, decode.d5.loss_dice: 0.7480, decode.d6.loss_cls: 0.2814, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7371, decode.d7.loss_cls: 0.2770, decode.d7.loss_mask: 0.5093, decode.d7.loss_dice: 0.7396, decode.d8.loss_cls: 0.2736, decode.d8.loss_mask: 0.5075, decode.d8.loss_dice: 0.7371, loss: 17.1170 2022-09-15 22:26:58,253 - mmseg - INFO - Iter [44300/80000] lr: 6.407e-07, eta: 20:25:13, time: 1.854, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2841, decode.loss_mask: 0.5091, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.7407, decode.d0.loss_mask: 0.5489, decode.d0.loss_dice: 0.8380, decode.d1.loss_cls: 0.3639, decode.d1.loss_mask: 0.5413, decode.d1.loss_dice: 0.7948, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.7616, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.5209, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2964, decode.d4.loss_mask: 0.5164, decode.d4.loss_dice: 0.7453, decode.d5.loss_cls: 0.2854, decode.d5.loss_mask: 0.5162, decode.d5.loss_dice: 0.7473, decode.d6.loss_cls: 0.2851, decode.d6.loss_mask: 0.5099, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2833, decode.d7.loss_mask: 0.5094, decode.d7.loss_dice: 0.7301, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5090, decode.d8.loss_dice: 0.7297, loss: 17.2061 2022-09-15 22:28:33,017 - mmseg - INFO - Iter [44350/80000] lr: 6.398e-07, eta: 20:23:16, time: 1.895, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2723, decode.loss_mask: 0.4890, decode.loss_dice: 0.7340, decode.d0.loss_cls: 1.7450, decode.d0.loss_mask: 0.5216, decode.d0.loss_dice: 0.8496, decode.d1.loss_cls: 0.3574, decode.d1.loss_mask: 0.5126, decode.d1.loss_dice: 0.7924, decode.d2.loss_cls: 0.3121, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7582, decode.d3.loss_cls: 0.2965, decode.d3.loss_mask: 0.4944, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2862, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7418, decode.d5.loss_cls: 0.2767, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7361, decode.d6.loss_cls: 0.2798, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7334, decode.d7.loss_cls: 0.2757, decode.d7.loss_mask: 0.4865, decode.d7.loss_dice: 0.7325, decode.d8.loss_cls: 0.2727, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7328, loss: 16.8899 2022-09-15 22:30:07,666 - mmseg - INFO - Iter [44400/80000] lr: 6.389e-07, eta: 20:21:18, time: 1.893, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2992, decode.loss_mask: 0.5111, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.7414, decode.d0.loss_mask: 0.5462, decode.d0.loss_dice: 0.8741, decode.d1.loss_cls: 0.3803, decode.d1.loss_mask: 0.5400, decode.d1.loss_dice: 0.8191, decode.d2.loss_cls: 0.3349, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7918, decode.d3.loss_cls: 0.3195, decode.d3.loss_mask: 0.5161, decode.d3.loss_dice: 0.7720, decode.d4.loss_cls: 0.3138, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7670, decode.d5.loss_cls: 0.3066, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7689, decode.d6.loss_cls: 0.3016, decode.d6.loss_mask: 0.5141, decode.d6.loss_dice: 0.7617, decode.d7.loss_cls: 0.3015, decode.d7.loss_mask: 0.5125, decode.d7.loss_dice: 0.7653, decode.d8.loss_cls: 0.2986, decode.d8.loss_mask: 0.5113, decode.d8.loss_dice: 0.7698, loss: 17.6480 2022-09-15 22:31:40,835 - mmseg - INFO - Iter [44450/80000] lr: 6.380e-07, eta: 20:19:18, time: 1.863, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2860, decode.loss_mask: 0.5175, decode.loss_dice: 0.7440, decode.d0.loss_cls: 1.7265, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8439, decode.d1.loss_cls: 0.3638, decode.d1.loss_mask: 0.5350, decode.d1.loss_dice: 0.8037, decode.d2.loss_cls: 0.3206, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.7742, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5210, decode.d3.loss_dice: 0.7585, decode.d4.loss_cls: 0.2938, decode.d4.loss_mask: 0.5223, decode.d4.loss_dice: 0.7590, decode.d5.loss_cls: 0.2866, decode.d5.loss_mask: 0.5214, decode.d5.loss_dice: 0.7545, decode.d6.loss_cls: 0.2849, decode.d6.loss_mask: 0.5172, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2801, decode.d7.loss_mask: 0.5184, decode.d7.loss_dice: 0.7464, decode.d8.loss_cls: 0.2813, decode.d8.loss_mask: 0.5191, decode.d8.loss_dice: 0.7502, loss: 17.3454 2022-09-15 22:33:16,735 - mmseg - INFO - Iter [44500/80000] lr: 6.372e-07, eta: 20:17:23, time: 1.918, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3002, decode.loss_mask: 0.5204, decode.loss_dice: 0.7517, decode.d0.loss_cls: 1.7534, decode.d0.loss_mask: 0.5584, decode.d0.loss_dice: 0.8576, decode.d1.loss_cls: 0.3833, decode.d1.loss_mask: 0.5467, decode.d1.loss_dice: 0.8050, decode.d2.loss_cls: 0.3337, decode.d2.loss_mask: 0.5335, decode.d2.loss_dice: 0.7769, decode.d3.loss_cls: 0.3113, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7647, decode.d4.loss_cls: 0.3063, decode.d4.loss_mask: 0.5235, decode.d4.loss_dice: 0.7630, decode.d5.loss_cls: 0.2997, decode.d5.loss_mask: 0.5237, decode.d5.loss_dice: 0.7603, decode.d6.loss_cls: 0.2983, decode.d6.loss_mask: 0.5219, decode.d6.loss_dice: 0.7533, decode.d7.loss_cls: 0.2959, decode.d7.loss_mask: 0.5213, decode.d7.loss_dice: 0.7578, decode.d8.loss_cls: 0.3004, decode.d8.loss_mask: 0.5213, decode.d8.loss_dice: 0.7570, loss: 17.6289 2022-09-15 22:34:51,525 - mmseg - INFO - Iter [44550/80000] lr: 6.363e-07, eta: 20:15:27, time: 1.896, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3074, decode.loss_mask: 0.5125, decode.loss_dice: 0.7382, decode.d0.loss_cls: 1.7751, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8428, decode.d1.loss_cls: 0.3833, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8074, decode.d2.loss_cls: 0.3418, decode.d2.loss_mask: 0.5307, decode.d2.loss_dice: 0.7713, decode.d3.loss_cls: 0.3245, decode.d3.loss_mask: 0.5236, decode.d3.loss_dice: 0.7583, decode.d4.loss_cls: 0.3123, decode.d4.loss_mask: 0.5211, decode.d4.loss_dice: 0.7535, decode.d5.loss_cls: 0.3073, decode.d5.loss_mask: 0.5193, decode.d5.loss_dice: 0.7522, decode.d6.loss_cls: 0.3086, decode.d6.loss_mask: 0.5177, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.3039, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7451, decode.d8.loss_cls: 0.3078, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7521, loss: 17.5915 2022-09-15 22:36:26,581 - mmseg - INFO - Iter [44600/80000] lr: 6.354e-07, eta: 20:13:30, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2940, decode.loss_mask: 0.5087, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.7343, decode.d0.loss_mask: 0.5382, decode.d0.loss_dice: 0.8554, decode.d1.loss_cls: 0.3746, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.8010, decode.d2.loss_cls: 0.3316, decode.d2.loss_mask: 0.5179, decode.d2.loss_dice: 0.7754, decode.d3.loss_cls: 0.3138, decode.d3.loss_mask: 0.5137, decode.d3.loss_dice: 0.7601, decode.d4.loss_cls: 0.3054, decode.d4.loss_mask: 0.5115, decode.d4.loss_dice: 0.7608, decode.d5.loss_cls: 0.3011, decode.d5.loss_mask: 0.5118, decode.d5.loss_dice: 0.7577, decode.d6.loss_cls: 0.2906, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7535, decode.d7.loss_cls: 0.2923, decode.d7.loss_mask: 0.5086, decode.d7.loss_dice: 0.7502, decode.d8.loss_cls: 0.2907, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7510, loss: 17.4079 2022-09-15 22:38:01,174 - mmseg - INFO - Iter [44650/80000] lr: 6.345e-07, eta: 20:11:33, time: 1.892, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2955, decode.loss_mask: 0.5200, decode.loss_dice: 0.7503, decode.d0.loss_cls: 1.7150, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8442, decode.d1.loss_cls: 0.3733, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8047, decode.d2.loss_cls: 0.3243, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.7831, decode.d3.loss_cls: 0.3114, decode.d3.loss_mask: 0.5304, decode.d3.loss_dice: 0.7662, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7567, decode.d5.loss_cls: 0.2975, decode.d5.loss_mask: 0.5230, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2945, decode.d6.loss_mask: 0.5203, decode.d6.loss_dice: 0.7571, decode.d7.loss_cls: 0.2944, decode.d7.loss_mask: 0.5194, decode.d7.loss_dice: 0.7560, decode.d8.loss_cls: 0.2921, decode.d8.loss_mask: 0.5206, decode.d8.loss_dice: 0.7520, loss: 17.5308 2022-09-15 22:39:34,891 - mmseg - INFO - Iter [44700/80000] lr: 6.336e-07, eta: 20:09:35, time: 1.874, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3054, decode.loss_mask: 0.5072, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.7739, decode.d0.loss_mask: 0.5396, decode.d0.loss_dice: 0.8576, decode.d1.loss_cls: 0.4006, decode.d1.loss_mask: 0.5320, decode.d1.loss_dice: 0.8045, decode.d2.loss_cls: 0.3427, decode.d2.loss_mask: 0.5184, decode.d2.loss_dice: 0.7697, decode.d3.loss_cls: 0.3325, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7568, decode.d4.loss_cls: 0.3183, decode.d4.loss_mask: 0.5082, decode.d4.loss_dice: 0.7484, decode.d5.loss_cls: 0.3074, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.3121, decode.d6.loss_mask: 0.5062, decode.d6.loss_dice: 0.7404, decode.d7.loss_cls: 0.3067, decode.d7.loss_mask: 0.5059, decode.d7.loss_dice: 0.7461, decode.d8.loss_cls: 0.3053, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7428, loss: 17.5084 2022-09-15 22:41:09,719 - mmseg - INFO - Iter [44750/80000] lr: 6.327e-07, eta: 20:07:39, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2875, decode.loss_mask: 0.4978, decode.loss_dice: 0.7305, decode.d0.loss_cls: 1.7329, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8338, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5225, decode.d1.loss_dice: 0.7826, decode.d2.loss_cls: 0.3213, decode.d2.loss_mask: 0.5128, decode.d2.loss_dice: 0.7621, decode.d3.loss_cls: 0.3048, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7477, decode.d4.loss_cls: 0.2981, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7396, decode.d5.loss_cls: 0.2950, decode.d5.loss_mask: 0.5009, decode.d5.loss_dice: 0.7396, decode.d6.loss_cls: 0.2938, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7349, decode.d7.loss_cls: 0.2894, decode.d7.loss_mask: 0.4980, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2916, decode.d8.loss_mask: 0.4990, decode.d8.loss_dice: 0.7284, loss: 17.0837 2022-09-15 22:42:42,997 - mmseg - INFO - Iter [44800/80000] lr: 6.318e-07, eta: 20:05:40, time: 1.865, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3048, decode.loss_mask: 0.5307, decode.loss_dice: 0.7493, decode.d0.loss_cls: 1.7429, decode.d0.loss_mask: 0.5606, decode.d0.loss_dice: 0.8489, decode.d1.loss_cls: 0.3835, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8041, decode.d2.loss_cls: 0.3396, decode.d2.loss_mask: 0.5432, decode.d2.loss_dice: 0.7739, decode.d3.loss_cls: 0.3249, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.7613, decode.d4.loss_cls: 0.3162, decode.d4.loss_mask: 0.5375, decode.d4.loss_dice: 0.7561, decode.d5.loss_cls: 0.3078, decode.d5.loss_mask: 0.5333, decode.d5.loss_dice: 0.7554, decode.d6.loss_cls: 0.3081, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.7482, decode.d7.loss_cls: 0.3004, decode.d7.loss_mask: 0.5342, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.3020, decode.d8.loss_mask: 0.5330, decode.d8.loss_dice: 0.7522, loss: 17.7360 2022-09-15 22:44:18,547 - mmseg - INFO - Iter [44850/80000] lr: 6.309e-07, eta: 20:03:45, time: 1.911, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2958, decode.loss_mask: 0.5249, decode.loss_dice: 0.7550, decode.d0.loss_cls: 1.7417, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8494, decode.d1.loss_cls: 0.3862, decode.d1.loss_mask: 0.5477, decode.d1.loss_dice: 0.8086, decode.d2.loss_cls: 0.3424, decode.d2.loss_mask: 0.5315, decode.d2.loss_dice: 0.7778, decode.d3.loss_cls: 0.3196, decode.d3.loss_mask: 0.5284, decode.d3.loss_dice: 0.7645, decode.d4.loss_cls: 0.3050, decode.d4.loss_mask: 0.5302, decode.d4.loss_dice: 0.7667, decode.d5.loss_cls: 0.3033, decode.d5.loss_mask: 0.5279, decode.d5.loss_dice: 0.7594, decode.d6.loss_cls: 0.3062, decode.d6.loss_mask: 0.5241, decode.d6.loss_dice: 0.7553, decode.d7.loss_cls: 0.3001, decode.d7.loss_mask: 0.5237, decode.d7.loss_dice: 0.7541, decode.d8.loss_cls: 0.3003, decode.d8.loss_mask: 0.5224, decode.d8.loss_dice: 0.7566, loss: 17.6604 2022-09-15 22:45:53,982 - mmseg - INFO - Iter [44900/80000] lr: 6.300e-07, eta: 20:01:50, time: 1.909, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2781, decode.loss_mask: 0.5142, decode.loss_dice: 0.7399, decode.d0.loss_cls: 1.7551, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8470, decode.d1.loss_cls: 0.3707, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8021, decode.d2.loss_cls: 0.3241, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.7721, decode.d3.loss_cls: 0.3088, decode.d3.loss_mask: 0.5225, decode.d3.loss_dice: 0.7512, decode.d4.loss_cls: 0.2945, decode.d4.loss_mask: 0.5192, decode.d4.loss_dice: 0.7530, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7521, decode.d6.loss_cls: 0.2839, decode.d6.loss_mask: 0.5178, decode.d6.loss_dice: 0.7451, decode.d7.loss_cls: 0.2828, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2808, decode.d8.loss_mask: 0.5154, decode.d8.loss_dice: 0.7445, loss: 17.3736 2022-09-15 22:47:28,033 - mmseg - INFO - Iter [44950/80000] lr: 6.291e-07, eta: 19:59:53, time: 1.881, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2888, decode.loss_mask: 0.5166, decode.loss_dice: 0.7546, decode.d0.loss_cls: 1.7388, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8597, decode.d1.loss_cls: 0.3758, decode.d1.loss_mask: 0.5452, decode.d1.loss_dice: 0.8239, decode.d2.loss_cls: 0.3324, decode.d2.loss_mask: 0.5281, decode.d2.loss_dice: 0.7847, decode.d3.loss_cls: 0.3135, decode.d3.loss_mask: 0.5196, decode.d3.loss_dice: 0.7671, decode.d4.loss_cls: 0.3025, decode.d4.loss_mask: 0.5180, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2944, decode.d5.loss_mask: 0.5174, decode.d5.loss_dice: 0.7599, decode.d6.loss_cls: 0.2921, decode.d6.loss_mask: 0.5168, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2913, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7623, decode.d8.loss_cls: 0.2896, decode.d8.loss_mask: 0.5165, decode.d8.loss_dice: 0.7555, loss: 17.5495 2022-09-15 22:49:03,410 - mmseg - INFO - Saving checkpoint at 45000 iterations 2022-09-15 22:49:35,304 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 22:49:35,308 - mmseg - INFO - Iter [45000/80000] lr: 6.282e-07, eta: 19:58:51, time: 2.544, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3090, decode.loss_mask: 0.5100, decode.loss_dice: 0.7537, decode.d0.loss_cls: 1.7680, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8641, decode.d1.loss_cls: 0.3895, decode.d1.loss_mask: 0.5320, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3472, decode.d2.loss_mask: 0.5232, decode.d2.loss_dice: 0.7804, decode.d3.loss_cls: 0.3304, decode.d3.loss_mask: 0.5140, decode.d3.loss_dice: 0.7643, decode.d4.loss_cls: 0.3195, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7665, decode.d5.loss_cls: 0.3116, decode.d5.loss_mask: 0.5125, decode.d5.loss_dice: 0.7655, decode.d6.loss_cls: 0.3128, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.3155, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7568, decode.d8.loss_cls: 0.3110, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7588, loss: 17.6672 2022-09-15 22:51:11,698 - mmseg - INFO - Iter [45050/80000] lr: 6.273e-07, eta: 19:56:58, time: 1.928, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3116, decode.loss_mask: 0.5126, decode.loss_dice: 0.7522, decode.d0.loss_cls: 1.7688, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8653, decode.d1.loss_cls: 0.4088, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3602, decode.d2.loss_mask: 0.5228, decode.d2.loss_dice: 0.7788, decode.d3.loss_cls: 0.3375, decode.d3.loss_mask: 0.5199, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.3271, decode.d4.loss_mask: 0.5158, decode.d4.loss_dice: 0.7585, decode.d5.loss_cls: 0.3161, decode.d5.loss_mask: 0.5128, decode.d5.loss_dice: 0.7538, decode.d6.loss_cls: 0.3157, decode.d6.loss_mask: 0.5129, decode.d6.loss_dice: 0.7512, decode.d7.loss_cls: 0.3116, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.3072, decode.d8.loss_mask: 0.5125, decode.d8.loss_dice: 0.7539, loss: 17.7124 2022-09-15 22:52:46,337 - mmseg - INFO - Iter [45100/80000] lr: 6.264e-07, eta: 19:55:01, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2897, decode.loss_mask: 0.5317, decode.loss_dice: 0.7572, decode.d0.loss_cls: 1.7270, decode.d0.loss_mask: 0.5648, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.3728, decode.d1.loss_mask: 0.5550, decode.d1.loss_dice: 0.8117, decode.d2.loss_cls: 0.3259, decode.d2.loss_mask: 0.5433, decode.d2.loss_dice: 0.7842, decode.d3.loss_cls: 0.3094, decode.d3.loss_mask: 0.5409, decode.d3.loss_dice: 0.7648, decode.d4.loss_cls: 0.2985, decode.d4.loss_mask: 0.5367, decode.d4.loss_dice: 0.7670, decode.d5.loss_cls: 0.2944, decode.d5.loss_mask: 0.5342, decode.d5.loss_dice: 0.7653, decode.d6.loss_cls: 0.2949, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.7563, decode.d7.loss_cls: 0.2878, decode.d7.loss_mask: 0.5338, decode.d7.loss_dice: 0.7608, decode.d8.loss_cls: 0.2911, decode.d8.loss_mask: 0.5308, decode.d8.loss_dice: 0.7557, loss: 17.6741 2022-09-15 22:54:21,233 - mmseg - INFO - Iter [45150/80000] lr: 6.255e-07, eta: 19:53:06, time: 1.898, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2925, decode.loss_mask: 0.5003, decode.loss_dice: 0.7558, decode.d0.loss_cls: 1.7562, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8680, decode.d1.loss_cls: 0.3849, decode.d1.loss_mask: 0.5259, decode.d1.loss_dice: 0.8146, decode.d2.loss_cls: 0.3335, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7872, decode.d3.loss_cls: 0.3202, decode.d3.loss_mask: 0.5071, decode.d3.loss_dice: 0.7643, decode.d4.loss_cls: 0.3080, decode.d4.loss_mask: 0.5028, decode.d4.loss_dice: 0.7648, decode.d5.loss_cls: 0.3060, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7676, decode.d6.loss_cls: 0.3022, decode.d6.loss_mask: 0.4977, decode.d6.loss_dice: 0.7549, decode.d7.loss_cls: 0.2994, decode.d7.loss_mask: 0.4990, decode.d7.loss_dice: 0.7586, decode.d8.loss_cls: 0.2954, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7563, loss: 17.4722 2022-09-15 22:55:56,204 - mmseg - INFO - Iter [45200/80000] lr: 6.246e-07, eta: 19:51:10, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2873, decode.loss_mask: 0.4953, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.7349, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8098, decode.d1.loss_cls: 0.3830, decode.d1.loss_mask: 0.5187, decode.d1.loss_dice: 0.7641, decode.d2.loss_cls: 0.3283, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7364, decode.d3.loss_cls: 0.3136, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2941, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7183, decode.d6.loss_cls: 0.2908, decode.d6.loss_mask: 0.4960, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2850, decode.d7.loss_mask: 0.4941, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2866, decode.d8.loss_mask: 0.4933, decode.d8.loss_dice: 0.7124, loss: 16.8514 2022-09-15 22:57:31,773 - mmseg - INFO - Iter [45250/80000] lr: 6.237e-07, eta: 19:49:16, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2909, decode.loss_mask: 0.5065, decode.loss_dice: 0.7540, decode.d0.loss_cls: 1.7634, decode.d0.loss_mask: 0.5412, decode.d0.loss_dice: 0.8684, decode.d1.loss_cls: 0.3855, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.8092, decode.d2.loss_cls: 0.3350, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7835, decode.d3.loss_cls: 0.3197, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7692, decode.d4.loss_cls: 0.3081, decode.d4.loss_mask: 0.5098, decode.d4.loss_dice: 0.7640, decode.d5.loss_cls: 0.3083, decode.d5.loss_mask: 0.5071, decode.d5.loss_dice: 0.7632, decode.d6.loss_cls: 0.3012, decode.d6.loss_mask: 0.5049, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2940, decode.d7.loss_mask: 0.5061, decode.d7.loss_dice: 0.7535, decode.d8.loss_cls: 0.2943, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7521, loss: 17.5046 2022-09-15 22:59:06,782 - mmseg - INFO - Iter [45300/80000] lr: 6.228e-07, eta: 19:47:21, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2737, decode.loss_mask: 0.5134, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.7627, decode.d0.loss_mask: 0.5489, decode.d0.loss_dice: 0.8539, decode.d1.loss_cls: 0.3671, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.3182, decode.d2.loss_mask: 0.5248, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.2935, decode.d3.loss_mask: 0.5151, decode.d3.loss_dice: 0.7583, decode.d4.loss_cls: 0.2844, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7535, decode.d5.loss_cls: 0.2802, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7549, decode.d6.loss_cls: 0.2773, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7448, decode.d7.loss_cls: 0.2732, decode.d7.loss_mask: 0.5138, decode.d7.loss_dice: 0.7522, decode.d8.loss_cls: 0.2741, decode.d8.loss_mask: 0.5121, decode.d8.loss_dice: 0.7483, loss: 17.3062 2022-09-15 23:00:40,876 - mmseg - INFO - Iter [45350/80000] lr: 6.219e-07, eta: 19:45:24, time: 1.881, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2959, decode.loss_mask: 0.5095, decode.loss_dice: 0.7629, decode.d0.loss_cls: 1.7434, decode.d0.loss_mask: 0.5410, decode.d0.loss_dice: 0.8636, decode.d1.loss_cls: 0.3775, decode.d1.loss_mask: 0.5346, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3289, decode.d2.loss_mask: 0.5249, decode.d2.loss_dice: 0.7851, decode.d3.loss_cls: 0.3147, decode.d3.loss_mask: 0.5199, decode.d3.loss_dice: 0.7688, decode.d4.loss_cls: 0.3068, decode.d4.loss_mask: 0.5166, decode.d4.loss_dice: 0.7703, decode.d5.loss_cls: 0.2992, decode.d5.loss_mask: 0.5134, decode.d5.loss_dice: 0.7682, decode.d6.loss_cls: 0.2995, decode.d6.loss_mask: 0.5152, decode.d6.loss_dice: 0.7633, decode.d7.loss_cls: 0.2911, decode.d7.loss_mask: 0.5125, decode.d7.loss_dice: 0.7647, decode.d8.loss_cls: 0.2951, decode.d8.loss_mask: 0.5130, decode.d8.loss_dice: 0.7602, loss: 17.5732 2022-09-15 23:02:16,579 - mmseg - INFO - Iter [45400/80000] lr: 6.210e-07, eta: 19:43:31, time: 1.915, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2948, decode.loss_mask: 0.5043, decode.loss_dice: 0.7300, decode.d0.loss_cls: 1.6975, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8344, decode.d1.loss_cls: 0.3720, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.7944, decode.d2.loss_cls: 0.3330, decode.d2.loss_mask: 0.5128, decode.d2.loss_dice: 0.7557, decode.d3.loss_cls: 0.3113, decode.d3.loss_mask: 0.5107, decode.d3.loss_dice: 0.7433, decode.d4.loss_cls: 0.3063, decode.d4.loss_mask: 0.5075, decode.d4.loss_dice: 0.7427, decode.d5.loss_cls: 0.3027, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2987, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7335, decode.d7.loss_cls: 0.2932, decode.d7.loss_mask: 0.5054, decode.d7.loss_dice: 0.7383, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7341, loss: 17.1741 2022-09-15 23:03:51,840 - mmseg - INFO - Iter [45450/80000] lr: 6.201e-07, eta: 19:41:36, time: 1.905, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2874, decode.loss_mask: 0.5109, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.7433, decode.d0.loss_mask: 0.5448, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3636, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.7796, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5255, decode.d2.loss_dice: 0.7518, decode.d3.loss_cls: 0.3058, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7416, decode.d4.loss_cls: 0.3004, decode.d4.loss_mask: 0.5179, decode.d4.loss_dice: 0.7418, decode.d5.loss_cls: 0.2880, decode.d5.loss_mask: 0.5183, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2863, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7312, decode.d7.loss_cls: 0.2907, decode.d7.loss_mask: 0.5093, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2905, decode.d8.loss_mask: 0.5120, decode.d8.loss_dice: 0.7296, loss: 17.2004 2022-09-15 23:05:29,309 - mmseg - INFO - Iter [45500/80000] lr: 6.192e-07, eta: 19:39:45, time: 1.949, data_time: 0.062, memory: 47124, decode.loss_cls: 0.2938, decode.loss_mask: 0.4928, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.7386, decode.d0.loss_mask: 0.5327, decode.d0.loss_dice: 0.8582, decode.d1.loss_cls: 0.3747, decode.d1.loss_mask: 0.5190, decode.d1.loss_dice: 0.8037, decode.d2.loss_cls: 0.3281, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7753, decode.d3.loss_cls: 0.3137, decode.d3.loss_mask: 0.5006, decode.d3.loss_dice: 0.7568, decode.d4.loss_cls: 0.3014, decode.d4.loss_mask: 0.4989, decode.d4.loss_dice: 0.7592, decode.d5.loss_cls: 0.3001, decode.d5.loss_mask: 0.4961, decode.d5.loss_dice: 0.7548, decode.d6.loss_cls: 0.3004, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7431, decode.d7.loss_cls: 0.2944, decode.d7.loss_mask: 0.4944, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2970, decode.d8.loss_mask: 0.4932, decode.d8.loss_dice: 0.7442, loss: 17.2641 2022-09-15 23:07:05,196 - mmseg - INFO - Iter [45550/80000] lr: 6.183e-07, eta: 19:37:52, time: 1.918, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2996, decode.loss_mask: 0.4849, decode.loss_dice: 0.7387, decode.d0.loss_cls: 1.7943, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8477, decode.d1.loss_cls: 0.3952, decode.d1.loss_mask: 0.5125, decode.d1.loss_dice: 0.7956, decode.d2.loss_cls: 0.3420, decode.d2.loss_mask: 0.4950, decode.d2.loss_dice: 0.7688, decode.d3.loss_cls: 0.3189, decode.d3.loss_mask: 0.4902, decode.d3.loss_dice: 0.7453, decode.d4.loss_cls: 0.3118, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7484, decode.d5.loss_cls: 0.3064, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7467, decode.d6.loss_cls: 0.3037, decode.d6.loss_mask: 0.4884, decode.d6.loss_dice: 0.7437, decode.d7.loss_cls: 0.2994, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2968, decode.d8.loss_mask: 0.4863, decode.d8.loss_dice: 0.7402, loss: 17.2327 2022-09-15 23:08:39,698 - mmseg - INFO - Iter [45600/80000] lr: 6.174e-07, eta: 19:35:57, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2737, decode.loss_mask: 0.4723, decode.loss_dice: 0.7154, decode.d0.loss_cls: 1.7600, decode.d0.loss_mask: 0.5068, decode.d0.loss_dice: 0.8171, decode.d1.loss_cls: 0.3678, decode.d1.loss_mask: 0.4959, decode.d1.loss_dice: 0.7670, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.4837, decode.d2.loss_dice: 0.7394, decode.d3.loss_cls: 0.2931, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7278, decode.d4.loss_cls: 0.2922, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2783, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.7220, decode.d6.loss_cls: 0.2804, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2730, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7187, decode.d8.loss_cls: 0.2765, decode.d8.loss_mask: 0.4727, decode.d8.loss_dice: 0.7180, loss: 16.5848 2022-09-15 23:10:14,272 - mmseg - INFO - Iter [45650/80000] lr: 6.165e-07, eta: 19:34:01, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2864, decode.loss_mask: 0.5017, decode.loss_dice: 0.7461, decode.d0.loss_cls: 1.7536, decode.d0.loss_mask: 0.5333, decode.d0.loss_dice: 0.8427, decode.d1.loss_cls: 0.3716, decode.d1.loss_mask: 0.5280, decode.d1.loss_dice: 0.8043, decode.d2.loss_cls: 0.3275, decode.d2.loss_mask: 0.5132, decode.d2.loss_dice: 0.7750, decode.d3.loss_cls: 0.3121, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.7551, decode.d4.loss_cls: 0.3024, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7590, decode.d5.loss_cls: 0.2936, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7528, decode.d6.loss_cls: 0.2931, decode.d6.loss_mask: 0.5006, decode.d6.loss_dice: 0.7445, decode.d7.loss_cls: 0.2927, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7487, decode.d8.loss_cls: 0.2887, decode.d8.loss_mask: 0.5016, decode.d8.loss_dice: 0.7471, loss: 17.2947 2022-09-15 23:11:49,689 - mmseg - INFO - Iter [45700/80000] lr: 6.156e-07, eta: 19:32:08, time: 1.908, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3030, decode.loss_mask: 0.5040, decode.loss_dice: 0.7253, decode.d0.loss_cls: 1.7393, decode.d0.loss_mask: 0.5439, decode.d0.loss_dice: 0.8425, decode.d1.loss_cls: 0.3751, decode.d1.loss_mask: 0.5347, decode.d1.loss_dice: 0.7891, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.7547, decode.d3.loss_cls: 0.3164, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7417, decode.d4.loss_cls: 0.3094, decode.d4.loss_mask: 0.5143, decode.d4.loss_dice: 0.7361, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5114, decode.d5.loss_dice: 0.7356, decode.d6.loss_cls: 0.3016, decode.d6.loss_mask: 0.5091, decode.d6.loss_dice: 0.7318, decode.d7.loss_cls: 0.2958, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2953, decode.d8.loss_mask: 0.5086, decode.d8.loss_dice: 0.7300, loss: 17.2611 2022-09-15 23:13:25,639 - mmseg - INFO - Iter [45750/80000] lr: 6.147e-07, eta: 19:30:15, time: 1.919, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2738, decode.loss_mask: 0.5177, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.6992, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3523, decode.d1.loss_mask: 0.5427, decode.d1.loss_dice: 0.7801, decode.d2.loss_cls: 0.3044, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.7508, decode.d3.loss_cls: 0.2856, decode.d3.loss_mask: 0.5258, decode.d3.loss_dice: 0.7386, decode.d4.loss_cls: 0.2840, decode.d4.loss_mask: 0.5229, decode.d4.loss_dice: 0.7336, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7320, decode.d6.loss_cls: 0.2733, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7196, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7228, decode.d8.loss_cls: 0.2720, decode.d8.loss_mask: 0.5190, decode.d8.loss_dice: 0.7243, loss: 17.0028 2022-09-15 23:15:02,611 - mmseg - INFO - Iter [45800/80000] lr: 6.138e-07, eta: 19:28:23, time: 1.939, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3092, decode.loss_mask: 0.5131, decode.loss_dice: 0.7545, decode.d0.loss_cls: 1.7691, decode.d0.loss_mask: 0.5582, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.4100, decode.d1.loss_mask: 0.5437, decode.d1.loss_dice: 0.8106, decode.d2.loss_cls: 0.3415, decode.d2.loss_mask: 0.5323, decode.d2.loss_dice: 0.7848, decode.d3.loss_cls: 0.3250, decode.d3.loss_mask: 0.5242, decode.d3.loss_dice: 0.7694, decode.d4.loss_cls: 0.3155, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.7688, decode.d5.loss_cls: 0.3132, decode.d5.loss_mask: 0.5216, decode.d5.loss_dice: 0.7678, decode.d6.loss_cls: 0.3114, decode.d6.loss_mask: 0.5130, decode.d6.loss_dice: 0.7591, decode.d7.loss_cls: 0.3041, decode.d7.loss_mask: 0.5166, decode.d7.loss_dice: 0.7631, decode.d8.loss_cls: 0.3031, decode.d8.loss_mask: 0.5178, decode.d8.loss_dice: 0.7643, loss: 17.7790 2022-09-15 23:16:36,808 - mmseg - INFO - Iter [45850/80000] lr: 6.129e-07, eta: 19:26:28, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2771, decode.loss_mask: 0.5161, decode.loss_dice: 0.7434, decode.d0.loss_cls: 1.7080, decode.d0.loss_mask: 0.5452, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3763, decode.d1.loss_mask: 0.5354, decode.d1.loss_dice: 0.7961, decode.d2.loss_cls: 0.3194, decode.d2.loss_mask: 0.5191, decode.d2.loss_dice: 0.7633, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2901, decode.d4.loss_mask: 0.5195, decode.d4.loss_dice: 0.7558, decode.d5.loss_cls: 0.2837, decode.d5.loss_mask: 0.5158, decode.d5.loss_dice: 0.7494, decode.d6.loss_cls: 0.2811, decode.d6.loss_mask: 0.5146, decode.d6.loss_dice: 0.7382, decode.d7.loss_cls: 0.2782, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7418, decode.d8.loss_cls: 0.2809, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7421, loss: 17.2441 2022-09-15 23:18:11,642 - mmseg - INFO - Iter [45900/80000] lr: 6.120e-07, eta: 19:24:34, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.3079, decode.loss_mask: 0.5045, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.7415, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8541, decode.d1.loss_cls: 0.3980, decode.d1.loss_mask: 0.5335, decode.d1.loss_dice: 0.8001, decode.d2.loss_cls: 0.3421, decode.d2.loss_mask: 0.5234, decode.d2.loss_dice: 0.7722, decode.d3.loss_cls: 0.3260, decode.d3.loss_mask: 0.5145, decode.d3.loss_dice: 0.7582, decode.d4.loss_cls: 0.3196, decode.d4.loss_mask: 0.5118, decode.d4.loss_dice: 0.7540, decode.d5.loss_cls: 0.3075, decode.d5.loss_mask: 0.5101, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.3008, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7482, decode.d7.loss_cls: 0.3061, decode.d7.loss_mask: 0.5097, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.3066, decode.d8.loss_mask: 0.5059, decode.d8.loss_dice: 0.7496, loss: 17.5066 2022-09-15 23:19:45,956 - mmseg - INFO - Iter [45950/80000] lr: 6.111e-07, eta: 19:22:39, time: 1.886, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2785, decode.loss_mask: 0.5026, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.7449, decode.d0.loss_mask: 0.5313, decode.d0.loss_dice: 0.8422, decode.d1.loss_cls: 0.3730, decode.d1.loss_mask: 0.5216, decode.d1.loss_dice: 0.7840, decode.d2.loss_cls: 0.3162, decode.d2.loss_mask: 0.5109, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.3055, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7387, decode.d4.loss_cls: 0.3027, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7409, decode.d5.loss_cls: 0.2913, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7387, decode.d6.loss_cls: 0.2840, decode.d6.loss_mask: 0.5013, decode.d6.loss_dice: 0.7346, decode.d7.loss_cls: 0.2832, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2783, decode.d8.loss_mask: 0.5021, decode.d8.loss_dice: 0.7338, loss: 17.0726 2022-09-15 23:21:22,328 - mmseg - INFO - Saving checkpoint at 46000 iterations 2022-09-15 23:21:52,107 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 23:21:52,116 - mmseg - INFO - Iter [46000/80000] lr: 6.102e-07, eta: 19:21:33, time: 2.520, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2877, decode.loss_mask: 0.5014, decode.loss_dice: 0.7347, decode.d0.loss_cls: 1.7392, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8399, decode.d1.loss_cls: 0.3696, decode.d1.loss_mask: 0.5276, decode.d1.loss_dice: 0.7966, decode.d2.loss_cls: 0.3288, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7724, decode.d3.loss_cls: 0.3148, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7502, decode.d4.loss_cls: 0.3052, decode.d4.loss_mask: 0.5040, decode.d4.loss_dice: 0.7500, decode.d5.loss_cls: 0.3014, decode.d5.loss_mask: 0.5043, decode.d5.loss_dice: 0.7442, decode.d6.loss_cls: 0.2935, decode.d6.loss_mask: 0.5006, decode.d6.loss_dice: 0.7386, decode.d7.loss_cls: 0.2874, decode.d7.loss_mask: 0.5024, decode.d7.loss_dice: 0.7398, decode.d8.loss_cls: 0.2893, decode.d8.loss_mask: 0.5021, decode.d8.loss_dice: 0.7370, loss: 17.2192 2022-09-15 23:23:28,017 - mmseg - INFO - Iter [46050/80000] lr: 6.093e-07, eta: 19:19:40, time: 1.920, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2737, decode.loss_mask: 0.5212, decode.loss_dice: 0.7524, decode.d0.loss_cls: 1.7242, decode.d0.loss_mask: 0.5583, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3651, decode.d1.loss_mask: 0.5486, decode.d1.loss_dice: 0.8082, decode.d2.loss_cls: 0.3117, decode.d2.loss_mask: 0.5334, decode.d2.loss_dice: 0.7798, decode.d3.loss_cls: 0.3011, decode.d3.loss_mask: 0.5289, decode.d3.loss_dice: 0.7629, decode.d4.loss_cls: 0.2893, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7616, decode.d5.loss_cls: 0.2764, decode.d5.loss_mask: 0.5247, decode.d5.loss_dice: 0.7624, decode.d6.loss_cls: 0.2767, decode.d6.loss_mask: 0.5233, decode.d6.loss_dice: 0.7552, decode.d7.loss_cls: 0.2741, decode.d7.loss_mask: 0.5213, decode.d7.loss_dice: 0.7565, decode.d8.loss_cls: 0.2717, decode.d8.loss_mask: 0.5235, decode.d8.loss_dice: 0.7552, loss: 17.4294 2022-09-15 23:25:03,854 - mmseg - INFO - Iter [46100/80000] lr: 6.084e-07, eta: 19:17:47, time: 1.917, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2801, decode.loss_mask: 0.5166, decode.loss_dice: 0.7470, decode.d0.loss_cls: 1.7200, decode.d0.loss_mask: 0.5493, decode.d0.loss_dice: 0.8564, decode.d1.loss_cls: 0.3618, decode.d1.loss_mask: 0.5425, decode.d1.loss_dice: 0.8037, decode.d2.loss_cls: 0.3174, decode.d2.loss_mask: 0.5275, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.3064, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7583, decode.d4.loss_cls: 0.3014, decode.d4.loss_mask: 0.5206, decode.d4.loss_dice: 0.7564, decode.d5.loss_cls: 0.2869, decode.d5.loss_mask: 0.5181, decode.d5.loss_dice: 0.7545, decode.d6.loss_cls: 0.2888, decode.d6.loss_mask: 0.5182, decode.d6.loss_dice: 0.7495, decode.d7.loss_cls: 0.2863, decode.d7.loss_mask: 0.5193, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2805, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7496, loss: 17.3806 2022-09-15 23:26:39,716 - mmseg - INFO - Iter [46150/80000] lr: 6.075e-07, eta: 19:15:55, time: 1.917, data_time: 0.014, memory: 47124, decode.loss_cls: 0.3069, decode.loss_mask: 0.5056, decode.loss_dice: 0.7503, decode.d0.loss_cls: 1.7194, decode.d0.loss_mask: 0.5486, decode.d0.loss_dice: 0.8631, decode.d1.loss_cls: 0.3878, decode.d1.loss_mask: 0.5359, decode.d1.loss_dice: 0.8193, decode.d2.loss_cls: 0.3378, decode.d2.loss_mask: 0.5203, decode.d2.loss_dice: 0.7903, decode.d3.loss_cls: 0.3199, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7671, decode.d4.loss_cls: 0.3186, decode.d4.loss_mask: 0.5122, decode.d4.loss_dice: 0.7630, decode.d5.loss_cls: 0.3089, decode.d5.loss_mask: 0.5112, decode.d5.loss_dice: 0.7624, decode.d6.loss_cls: 0.3125, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7542, decode.d7.loss_cls: 0.3078, decode.d7.loss_mask: 0.5070, decode.d7.loss_dice: 0.7521, decode.d8.loss_cls: 0.3060, decode.d8.loss_mask: 0.5086, decode.d8.loss_dice: 0.7498, loss: 17.5682 2022-09-15 23:28:14,403 - mmseg - INFO - Iter [46200/80000] lr: 6.066e-07, eta: 19:14:01, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2965, decode.loss_mask: 0.4967, decode.loss_dice: 0.7443, decode.d0.loss_cls: 1.7424, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8480, decode.d1.loss_cls: 0.3786, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.8065, decode.d2.loss_cls: 0.3330, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.3208, decode.d3.loss_mask: 0.5028, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.3085, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7557, decode.d5.loss_cls: 0.3038, decode.d5.loss_mask: 0.5001, decode.d5.loss_dice: 0.7543, decode.d6.loss_cls: 0.3022, decode.d6.loss_mask: 0.4990, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2959, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7464, decode.d8.loss_cls: 0.2961, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7472, loss: 17.3099 2022-09-15 23:29:50,020 - mmseg - INFO - Iter [46250/80000] lr: 6.057e-07, eta: 19:12:08, time: 1.912, data_time: 0.015, memory: 47124, decode.loss_cls: 0.3081, decode.loss_mask: 0.5344, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.7561, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.8940, decode.d1.loss_cls: 0.4032, decode.d1.loss_mask: 0.5603, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3438, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.8044, decode.d3.loss_cls: 0.3283, decode.d3.loss_mask: 0.5431, decode.d3.loss_dice: 0.7949, decode.d4.loss_cls: 0.3150, decode.d4.loss_mask: 0.5382, decode.d4.loss_dice: 0.7903, decode.d5.loss_cls: 0.3086, decode.d5.loss_mask: 0.5355, decode.d5.loss_dice: 0.7923, decode.d6.loss_cls: 0.3106, decode.d6.loss_mask: 0.5368, decode.d6.loss_dice: 0.7830, decode.d7.loss_cls: 0.3036, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7838, decode.d8.loss_cls: 0.3046, decode.d8.loss_mask: 0.5366, decode.d8.loss_dice: 0.7855, loss: 18.1670 2022-09-15 23:31:26,588 - mmseg - INFO - Iter [46300/80000] lr: 6.048e-07, eta: 19:10:17, time: 1.930, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2829, decode.loss_mask: 0.5073, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.7713, decode.d0.loss_mask: 0.5345, decode.d0.loss_dice: 0.8605, decode.d1.loss_cls: 0.3682, decode.d1.loss_mask: 0.5343, decode.d1.loss_dice: 0.8098, decode.d2.loss_cls: 0.3135, decode.d2.loss_mask: 0.5202, decode.d2.loss_dice: 0.7863, decode.d3.loss_cls: 0.3027, decode.d3.loss_mask: 0.5151, decode.d3.loss_dice: 0.7713, decode.d4.loss_cls: 0.2939, decode.d4.loss_mask: 0.5117, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.2897, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7644, decode.d6.loss_cls: 0.2881, decode.d6.loss_mask: 0.5087, decode.d6.loss_dice: 0.7604, decode.d7.loss_cls: 0.2870, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.2774, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7613, loss: 17.4417 2022-09-15 23:33:01,233 - mmseg - INFO - Iter [46350/80000] lr: 6.039e-07, eta: 19:08:23, time: 1.895, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2752, decode.loss_mask: 0.5105, decode.loss_dice: 0.7344, decode.d0.loss_cls: 1.7468, decode.d0.loss_mask: 0.5478, decode.d0.loss_dice: 0.8520, decode.d1.loss_cls: 0.3617, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.7884, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.5260, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2994, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7445, decode.d4.loss_cls: 0.2923, decode.d4.loss_mask: 0.5181, decode.d4.loss_dice: 0.7437, decode.d5.loss_cls: 0.2815, decode.d5.loss_mask: 0.5153, decode.d5.loss_dice: 0.7444, decode.d6.loss_cls: 0.2803, decode.d6.loss_mask: 0.5158, decode.d6.loss_dice: 0.7343, decode.d7.loss_cls: 0.2792, decode.d7.loss_mask: 0.5116, decode.d7.loss_dice: 0.7346, decode.d8.loss_cls: 0.2762, decode.d8.loss_mask: 0.5106, decode.d8.loss_dice: 0.7338, loss: 17.1962 2022-09-15 23:34:36,424 - mmseg - INFO - Iter [46400/80000] lr: 6.031e-07, eta: 19:06:29, time: 1.904, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2872, decode.loss_mask: 0.5285, decode.loss_dice: 0.7660, decode.d0.loss_cls: 1.7226, decode.d0.loss_mask: 0.5598, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.3666, decode.d1.loss_mask: 0.5568, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.5426, decode.d2.loss_dice: 0.7900, decode.d3.loss_cls: 0.3066, decode.d3.loss_mask: 0.5352, decode.d3.loss_dice: 0.7758, decode.d4.loss_cls: 0.2983, decode.d4.loss_mask: 0.5307, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5298, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.2923, decode.d6.loss_mask: 0.5286, decode.d6.loss_dice: 0.7612, decode.d7.loss_cls: 0.2934, decode.d7.loss_mask: 0.5285, decode.d7.loss_dice: 0.7686, decode.d8.loss_cls: 0.2859, decode.d8.loss_mask: 0.5308, decode.d8.loss_dice: 0.7646, loss: 17.7055 2022-09-15 23:36:11,484 - mmseg - INFO - Iter [46450/80000] lr: 6.022e-07, eta: 19:04:36, time: 1.901, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2875, decode.loss_mask: 0.5264, decode.loss_dice: 0.7496, decode.d0.loss_cls: 1.7078, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3770, decode.d1.loss_mask: 0.5553, decode.d1.loss_dice: 0.8011, decode.d2.loss_cls: 0.3364, decode.d2.loss_mask: 0.5379, decode.d2.loss_dice: 0.7776, decode.d3.loss_cls: 0.3125, decode.d3.loss_mask: 0.5349, decode.d3.loss_dice: 0.7645, decode.d4.loss_cls: 0.3059, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7600, decode.d5.loss_cls: 0.2955, decode.d5.loss_mask: 0.5282, decode.d5.loss_dice: 0.7529, decode.d6.loss_cls: 0.2930, decode.d6.loss_mask: 0.5251, decode.d6.loss_dice: 0.7510, decode.d7.loss_cls: 0.2904, decode.d7.loss_mask: 0.5252, decode.d7.loss_dice: 0.7515, decode.d8.loss_cls: 0.2881, decode.d8.loss_mask: 0.5245, decode.d8.loss_dice: 0.7522, loss: 17.5475 2022-09-15 23:37:46,338 - mmseg - INFO - Iter [46500/80000] lr: 6.013e-07, eta: 19:02:43, time: 1.898, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2860, decode.loss_mask: 0.4878, decode.loss_dice: 0.7281, decode.d0.loss_cls: 1.6904, decode.d0.loss_mask: 0.5217, decode.d0.loss_dice: 0.8381, decode.d1.loss_cls: 0.3747, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7932, decode.d2.loss_cls: 0.3217, decode.d2.loss_mask: 0.5009, decode.d2.loss_dice: 0.7614, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.4937, decode.d3.loss_dice: 0.7417, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7429, decode.d5.loss_cls: 0.2958, decode.d5.loss_mask: 0.4876, decode.d5.loss_dice: 0.7371, decode.d6.loss_cls: 0.2917, decode.d6.loss_mask: 0.4885, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2877, decode.d7.loss_mask: 0.4879, decode.d7.loss_dice: 0.7294, decode.d8.loss_cls: 0.2879, decode.d8.loss_mask: 0.4845, decode.d8.loss_dice: 0.7262, loss: 16.9307 2022-09-15 23:39:21,534 - mmseg - INFO - Iter [46550/80000] lr: 6.004e-07, eta: 19:00:50, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2861, decode.loss_mask: 0.5202, decode.loss_dice: 0.7563, decode.d0.loss_cls: 1.7025, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8623, decode.d1.loss_cls: 0.3579, decode.d1.loss_mask: 0.5522, decode.d1.loss_dice: 0.8134, decode.d2.loss_cls: 0.3179, decode.d2.loss_mask: 0.5347, decode.d2.loss_dice: 0.7875, decode.d3.loss_cls: 0.3104, decode.d3.loss_mask: 0.5285, decode.d3.loss_dice: 0.7687, decode.d4.loss_cls: 0.2994, decode.d4.loss_mask: 0.5275, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2915, decode.d5.loss_mask: 0.5283, decode.d5.loss_dice: 0.7635, decode.d6.loss_cls: 0.2860, decode.d6.loss_mask: 0.5229, decode.d6.loss_dice: 0.7565, decode.d7.loss_cls: 0.2829, decode.d7.loss_mask: 0.5219, decode.d7.loss_dice: 0.7598, decode.d8.loss_cls: 0.2835, decode.d8.loss_mask: 0.5219, decode.d8.loss_dice: 0.7548, loss: 17.5227 2022-09-15 23:40:56,592 - mmseg - INFO - Iter [46600/80000] lr: 5.995e-07, eta: 18:58:57, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2899, decode.loss_mask: 0.5117, decode.loss_dice: 0.7503, decode.d0.loss_cls: 1.7467, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8612, decode.d1.loss_cls: 0.3831, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.8030, decode.d2.loss_cls: 0.3297, decode.d2.loss_mask: 0.5190, decode.d2.loss_dice: 0.7717, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7613, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5167, decode.d4.loss_dice: 0.7604, decode.d5.loss_cls: 0.2984, decode.d5.loss_mask: 0.5139, decode.d5.loss_dice: 0.7581, decode.d6.loss_cls: 0.2940, decode.d6.loss_mask: 0.5098, decode.d6.loss_dice: 0.7526, decode.d7.loss_cls: 0.2929, decode.d7.loss_mask: 0.5080, decode.d7.loss_dice: 0.7530, decode.d8.loss_cls: 0.2884, decode.d8.loss_mask: 0.5107, decode.d8.loss_dice: 0.7504, loss: 17.4443 2022-09-15 23:42:30,726 - mmseg - INFO - Iter [46650/80000] lr: 5.986e-07, eta: 18:57:02, time: 1.883, data_time: 0.017, memory: 47124, decode.loss_cls: 0.3055, decode.loss_mask: 0.5157, decode.loss_dice: 0.7534, decode.d0.loss_cls: 1.7577, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8566, decode.d1.loss_cls: 0.3913, decode.d1.loss_mask: 0.5439, decode.d1.loss_dice: 0.8056, decode.d2.loss_cls: 0.3380, decode.d2.loss_mask: 0.5288, decode.d2.loss_dice: 0.7731, decode.d3.loss_cls: 0.3199, decode.d3.loss_mask: 0.5263, decode.d3.loss_dice: 0.7665, decode.d4.loss_cls: 0.3130, decode.d4.loss_mask: 0.5216, decode.d4.loss_dice: 0.7620, decode.d5.loss_cls: 0.3088, decode.d5.loss_mask: 0.5188, decode.d5.loss_dice: 0.7592, decode.d6.loss_cls: 0.3082, decode.d6.loss_mask: 0.5180, decode.d6.loss_dice: 0.7524, decode.d7.loss_cls: 0.3065, decode.d7.loss_mask: 0.5216, decode.d7.loss_dice: 0.7555, decode.d8.loss_cls: 0.3036, decode.d8.loss_mask: 0.5153, decode.d8.loss_dice: 0.7518, loss: 17.6495 2022-09-15 23:44:06,333 - mmseg - INFO - Iter [46700/80000] lr: 5.977e-07, eta: 18:55:10, time: 1.912, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2928, decode.loss_mask: 0.5062, decode.loss_dice: 0.7471, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.5377, decode.d0.loss_dice: 0.8590, decode.d1.loss_cls: 0.3774, decode.d1.loss_mask: 0.5332, decode.d1.loss_dice: 0.8010, decode.d2.loss_cls: 0.3339, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.7776, decode.d3.loss_cls: 0.3127, decode.d3.loss_mask: 0.5175, decode.d3.loss_dice: 0.7657, decode.d4.loss_cls: 0.3052, decode.d4.loss_mask: 0.5136, decode.d4.loss_dice: 0.7618, decode.d5.loss_cls: 0.2978, decode.d5.loss_mask: 0.5112, decode.d5.loss_dice: 0.7537, decode.d6.loss_cls: 0.2927, decode.d6.loss_mask: 0.5095, decode.d6.loss_dice: 0.7522, decode.d7.loss_cls: 0.2947, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7498, decode.d8.loss_cls: 0.2976, decode.d8.loss_mask: 0.5059, decode.d8.loss_dice: 0.7475, loss: 17.3587 2022-09-15 23:45:41,691 - mmseg - INFO - Iter [46750/80000] lr: 5.968e-07, eta: 18:53:18, time: 1.907, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2921, decode.loss_mask: 0.5019, decode.loss_dice: 0.7326, decode.d0.loss_cls: 1.7492, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8451, decode.d1.loss_cls: 0.3730, decode.d1.loss_mask: 0.5295, decode.d1.loss_dice: 0.7933, decode.d2.loss_cls: 0.3283, decode.d2.loss_mask: 0.5131, decode.d2.loss_dice: 0.7629, decode.d3.loss_cls: 0.3199, decode.d3.loss_mask: 0.5070, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.3088, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7398, decode.d5.loss_cls: 0.2993, decode.d5.loss_mask: 0.5026, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2958, decode.d6.loss_mask: 0.5024, decode.d6.loss_dice: 0.7341, decode.d7.loss_cls: 0.2966, decode.d7.loss_mask: 0.5021, decode.d7.loss_dice: 0.7354, decode.d8.loss_cls: 0.2932, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7361, loss: 17.2136 2022-09-15 23:47:19,198 - mmseg - INFO - Iter [46800/80000] lr: 5.959e-07, eta: 18:51:29, time: 1.951, data_time: 0.062, memory: 47124, decode.loss_cls: 0.2775, decode.loss_mask: 0.5184, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.7006, decode.d0.loss_mask: 0.5552, decode.d0.loss_dice: 0.8488, decode.d1.loss_cls: 0.3570, decode.d1.loss_mask: 0.5475, decode.d1.loss_dice: 0.8068, decode.d2.loss_cls: 0.3121, decode.d2.loss_mask: 0.5325, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.2970, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7666, decode.d4.loss_cls: 0.2851, decode.d4.loss_mask: 0.5248, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2821, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7527, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.5198, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.2772, decode.d7.loss_mask: 0.5203, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.2793, decode.d8.loss_mask: 0.5215, decode.d8.loss_dice: 0.7504, loss: 17.3605 2022-09-15 23:48:53,556 - mmseg - INFO - Iter [46850/80000] lr: 5.950e-07, eta: 18:49:35, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2817, decode.loss_mask: 0.5056, decode.loss_dice: 0.7462, decode.d0.loss_cls: 1.7288, decode.d0.loss_mask: 0.5417, decode.d0.loss_dice: 0.8607, decode.d1.loss_cls: 0.3563, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.8095, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.5235, decode.d2.loss_dice: 0.7812, decode.d3.loss_cls: 0.3005, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7621, decode.d4.loss_cls: 0.2928, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7600, decode.d5.loss_cls: 0.2909, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7561, decode.d6.loss_cls: 0.2894, decode.d6.loss_mask: 0.5061, decode.d6.loss_dice: 0.7499, decode.d7.loss_cls: 0.2851, decode.d7.loss_mask: 0.5054, decode.d7.loss_dice: 0.7506, decode.d8.loss_cls: 0.2817, decode.d8.loss_mask: 0.5075, decode.d8.loss_dice: 0.7532, loss: 17.3111 2022-09-15 23:50:27,982 - mmseg - INFO - Iter [46900/80000] lr: 5.941e-07, eta: 18:47:42, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2876, decode.loss_mask: 0.4931, decode.loss_dice: 0.7393, decode.d0.loss_cls: 1.7815, decode.d0.loss_mask: 0.5349, decode.d0.loss_dice: 0.8578, decode.d1.loss_cls: 0.3693, decode.d1.loss_mask: 0.5237, decode.d1.loss_dice: 0.8015, decode.d2.loss_cls: 0.3283, decode.d2.loss_mask: 0.5068, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.3157, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7513, decode.d4.loss_cls: 0.2983, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7481, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5000, decode.d5.loss_dice: 0.7469, decode.d6.loss_cls: 0.2914, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2867, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7362, decode.d8.loss_cls: 0.2891, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7396, loss: 17.1984 2022-09-15 23:52:03,392 - mmseg - INFO - Iter [46950/80000] lr: 5.932e-07, eta: 18:45:50, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2619, decode.loss_mask: 0.4859, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.7164, decode.d0.loss_mask: 0.5237, decode.d0.loss_dice: 0.8327, decode.d1.loss_cls: 0.3413, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7772, decode.d2.loss_cls: 0.3019, decode.d2.loss_mask: 0.4983, decode.d2.loss_dice: 0.7519, decode.d3.loss_cls: 0.2877, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7319, decode.d4.loss_cls: 0.2750, decode.d4.loss_mask: 0.4911, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2722, decode.d5.loss_mask: 0.4895, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2657, decode.d6.loss_mask: 0.4910, decode.d6.loss_dice: 0.7260, decode.d7.loss_cls: 0.2652, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7220, decode.d8.loss_cls: 0.2599, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7237, loss: 16.6474 2022-09-15 23:53:38,605 - mmseg - INFO - Saving checkpoint at 47000 iterations 2022-09-15 23:54:09,821 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-15 23:54:09,830 - mmseg - INFO - Iter [47000/80000] lr: 5.923e-07, eta: 18:44:42, time: 2.526, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2911, decode.loss_mask: 0.5089, decode.loss_dice: 0.7482, decode.d0.loss_cls: 1.7267, decode.d0.loss_mask: 0.5441, decode.d0.loss_dice: 0.8587, decode.d1.loss_cls: 0.3676, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.8116, decode.d2.loss_cls: 0.3150, decode.d2.loss_mask: 0.5249, decode.d2.loss_dice: 0.7834, decode.d3.loss_cls: 0.3072, decode.d3.loss_mask: 0.5182, decode.d3.loss_dice: 0.7688, decode.d4.loss_cls: 0.2956, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7649, decode.d5.loss_cls: 0.2899, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7611, decode.d6.loss_cls: 0.2894, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7575, decode.d7.loss_cls: 0.2908, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5100, decode.d8.loss_dice: 0.7550, loss: 17.4140 2022-09-15 23:55:45,647 - mmseg - INFO - Iter [47050/80000] lr: 5.914e-07, eta: 18:42:51, time: 1.919, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2844, decode.loss_mask: 0.5188, decode.loss_dice: 0.7602, decode.d0.loss_cls: 1.7200, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.3673, decode.d1.loss_mask: 0.5438, decode.d1.loss_dice: 0.8205, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5310, decode.d2.loss_dice: 0.7919, decode.d3.loss_cls: 0.3089, decode.d3.loss_mask: 0.5242, decode.d3.loss_dice: 0.7747, decode.d4.loss_cls: 0.2944, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.7713, decode.d5.loss_cls: 0.2897, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7712, decode.d6.loss_cls: 0.2864, decode.d6.loss_mask: 0.5189, decode.d6.loss_dice: 0.7626, decode.d7.loss_cls: 0.2787, decode.d7.loss_mask: 0.5208, decode.d7.loss_dice: 0.7598, decode.d8.loss_cls: 0.2793, decode.d8.loss_mask: 0.5180, decode.d8.loss_dice: 0.7638, loss: 17.5462 2022-09-15 23:57:20,158 - mmseg - INFO - Iter [47100/80000] lr: 5.905e-07, eta: 18:40:57, time: 1.890, data_time: 0.018, memory: 47124, decode.loss_cls: 0.3044, decode.loss_mask: 0.5136, decode.loss_dice: 0.7345, decode.d0.loss_cls: 1.7621, decode.d0.loss_mask: 0.5433, decode.d0.loss_dice: 0.8392, decode.d1.loss_cls: 0.3970, decode.d1.loss_mask: 0.5414, decode.d1.loss_dice: 0.7909, decode.d2.loss_cls: 0.3438, decode.d2.loss_mask: 0.5278, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.3279, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7456, decode.d4.loss_cls: 0.3177, decode.d4.loss_mask: 0.5191, decode.d4.loss_dice: 0.7462, decode.d5.loss_cls: 0.3066, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7449, decode.d6.loss_cls: 0.3080, decode.d6.loss_mask: 0.5143, decode.d6.loss_dice: 0.7387, decode.d7.loss_cls: 0.3041, decode.d7.loss_mask: 0.5151, decode.d7.loss_dice: 0.7386, decode.d8.loss_cls: 0.2990, decode.d8.loss_mask: 0.5130, decode.d8.loss_dice: 0.7355, loss: 17.4747 2022-09-15 23:58:55,558 - mmseg - INFO - Iter [47150/80000] lr: 5.896e-07, eta: 18:39:06, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2707, decode.loss_mask: 0.4971, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.7085, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8347, decode.d1.loss_cls: 0.3520, decode.d1.loss_mask: 0.5246, decode.d1.loss_dice: 0.7874, decode.d2.loss_cls: 0.3079, decode.d2.loss_mask: 0.5070, decode.d2.loss_dice: 0.7583, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7480, decode.d4.loss_cls: 0.2841, decode.d4.loss_mask: 0.5016, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.4985, decode.d5.loss_dice: 0.7374, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7429, decode.d7.loss_cls: 0.2643, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7401, decode.d8.loss_cls: 0.2675, decode.d8.loss_mask: 0.4972, decode.d8.loss_dice: 0.7348, loss: 16.9261 2022-09-16 00:00:34,770 - mmseg - INFO - Iter [47200/80000] lr: 5.887e-07, eta: 18:37:19, time: 1.984, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2733, decode.loss_mask: 0.5120, decode.loss_dice: 0.7429, decode.d0.loss_cls: 1.7442, decode.d0.loss_mask: 0.5465, decode.d0.loss_dice: 0.8456, decode.d1.loss_cls: 0.3674, decode.d1.loss_mask: 0.5330, decode.d1.loss_dice: 0.7922, decode.d2.loss_cls: 0.3204, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7658, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.5183, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.2890, decode.d4.loss_mask: 0.5156, decode.d4.loss_dice: 0.7518, decode.d5.loss_cls: 0.2849, decode.d5.loss_mask: 0.5105, decode.d5.loss_dice: 0.7411, decode.d6.loss_cls: 0.2783, decode.d6.loss_mask: 0.5105, decode.d6.loss_dice: 0.7412, decode.d7.loss_cls: 0.2729, decode.d7.loss_mask: 0.5126, decode.d7.loss_dice: 0.7439, decode.d8.loss_cls: 0.2712, decode.d8.loss_mask: 0.5117, decode.d8.loss_dice: 0.7412, loss: 17.2084 2022-09-16 00:02:08,709 - mmseg - INFO - Iter [47250/80000] lr: 5.878e-07, eta: 18:35:25, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2944, decode.loss_mask: 0.4951, decode.loss_dice: 0.7349, decode.d0.loss_cls: 1.7511, decode.d0.loss_mask: 0.5257, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3754, decode.d1.loss_mask: 0.5222, decode.d1.loss_dice: 0.7940, decode.d2.loss_cls: 0.3374, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7590, decode.d3.loss_cls: 0.3220, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7450, decode.d4.loss_cls: 0.3085, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7427, decode.d5.loss_cls: 0.3009, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7338, decode.d7.loss_cls: 0.2975, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.7323, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.4950, decode.d8.loss_dice: 0.7313, loss: 17.1859 2022-09-16 00:03:43,684 - mmseg - INFO - Iter [47300/80000] lr: 5.869e-07, eta: 18:33:33, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2649, decode.loss_mask: 0.5082, decode.loss_dice: 0.7453, decode.d0.loss_cls: 1.7243, decode.d0.loss_mask: 0.5454, decode.d0.loss_dice: 0.8446, decode.d1.loss_cls: 0.3567, decode.d1.loss_mask: 0.5299, decode.d1.loss_dice: 0.7993, decode.d2.loss_cls: 0.3052, decode.d2.loss_mask: 0.5170, decode.d2.loss_dice: 0.7648, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.5147, decode.d3.loss_dice: 0.7546, decode.d4.loss_cls: 0.2759, decode.d4.loss_mask: 0.5123, decode.d4.loss_dice: 0.7525, decode.d5.loss_cls: 0.2719, decode.d5.loss_mask: 0.5087, decode.d5.loss_dice: 0.7478, decode.d6.loss_cls: 0.2705, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7434, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.5073, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2627, decode.d8.loss_mask: 0.5068, decode.d8.loss_dice: 0.7438, loss: 17.0797 2022-09-16 00:05:20,294 - mmseg - INFO - Iter [47350/80000] lr: 5.860e-07, eta: 18:31:43, time: 1.932, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2728, decode.loss_mask: 0.4916, decode.loss_dice: 0.7217, decode.d0.loss_cls: 1.7327, decode.d0.loss_mask: 0.5319, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3605, decode.d1.loss_mask: 0.5163, decode.d1.loss_dice: 0.7839, decode.d2.loss_cls: 0.3089, decode.d2.loss_mask: 0.5054, decode.d2.loss_dice: 0.7501, decode.d3.loss_cls: 0.2932, decode.d3.loss_mask: 0.4986, decode.d3.loss_dice: 0.7362, decode.d4.loss_cls: 0.2852, decode.d4.loss_mask: 0.4970, decode.d4.loss_dice: 0.7276, decode.d5.loss_cls: 0.2802, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7308, decode.d6.loss_cls: 0.2745, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7269, decode.d7.loss_cls: 0.2717, decode.d7.loss_mask: 0.4909, decode.d7.loss_dice: 0.7211, decode.d8.loss_cls: 0.2714, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7223, loss: 16.8077 2022-09-16 00:06:55,764 - mmseg - INFO - Iter [47400/80000] lr: 5.851e-07, eta: 18:29:52, time: 1.909, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2999, decode.loss_mask: 0.4987, decode.loss_dice: 0.7325, decode.d0.loss_cls: 1.7272, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8423, decode.d1.loss_cls: 0.3726, decode.d1.loss_mask: 0.5242, decode.d1.loss_dice: 0.7892, decode.d2.loss_cls: 0.3366, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.3147, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7438, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7385, decode.d5.loss_cls: 0.3010, decode.d5.loss_mask: 0.5020, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.3047, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7290, decode.d7.loss_cls: 0.2987, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7361, decode.d8.loss_cls: 0.2955, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7354, loss: 17.1929 2022-09-16 00:08:29,999 - mmseg - INFO - Iter [47450/80000] lr: 5.842e-07, eta: 18:27:59, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2804, decode.loss_mask: 0.4991, decode.loss_dice: 0.7387, decode.d0.loss_cls: 1.6938, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8491, decode.d1.loss_cls: 0.3661, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7969, decode.d2.loss_cls: 0.3204, decode.d2.loss_mask: 0.5113, decode.d2.loss_dice: 0.7659, decode.d3.loss_cls: 0.3004, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7558, decode.d4.loss_cls: 0.2924, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7495, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5020, decode.d5.loss_dice: 0.7461, decode.d6.loss_cls: 0.2853, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7396, decode.d7.loss_cls: 0.2893, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7349, decode.d8.loss_cls: 0.2829, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7365, loss: 17.0915 2022-09-16 00:10:04,333 - mmseg - INFO - Iter [47500/80000] lr: 5.833e-07, eta: 18:26:06, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2875, decode.loss_mask: 0.5246, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.7487, decode.d0.loss_mask: 0.5625, decode.d0.loss_dice: 0.8661, decode.d1.loss_cls: 0.3745, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8229, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5409, decode.d2.loss_dice: 0.7896, decode.d3.loss_cls: 0.3062, decode.d3.loss_mask: 0.5337, decode.d3.loss_dice: 0.7718, decode.d4.loss_cls: 0.3024, decode.d4.loss_mask: 0.5275, decode.d4.loss_dice: 0.7735, decode.d5.loss_cls: 0.2965, decode.d5.loss_mask: 0.5290, decode.d5.loss_dice: 0.7701, decode.d6.loss_cls: 0.2938, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7694, decode.d7.loss_cls: 0.2850, decode.d7.loss_mask: 0.5267, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7678, loss: 17.7277 2022-09-16 00:11:38,893 - mmseg - INFO - Iter [47550/80000] lr: 5.824e-07, eta: 18:24:13, time: 1.892, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2829, decode.loss_mask: 0.5106, decode.loss_dice: 0.7332, decode.d0.loss_cls: 1.6991, decode.d0.loss_mask: 0.5441, decode.d0.loss_dice: 0.8368, decode.d1.loss_cls: 0.3542, decode.d1.loss_mask: 0.5364, decode.d1.loss_dice: 0.7917, decode.d2.loss_cls: 0.3108, decode.d2.loss_mask: 0.5295, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2968, decode.d3.loss_mask: 0.5198, decode.d3.loss_dice: 0.7476, decode.d4.loss_cls: 0.2900, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7434, decode.d5.loss_cls: 0.2828, decode.d5.loss_mask: 0.5158, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.5131, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2797, decode.d7.loss_mask: 0.5133, decode.d7.loss_dice: 0.7407, decode.d8.loss_cls: 0.2800, decode.d8.loss_mask: 0.5140, decode.d8.loss_dice: 0.7382, loss: 17.1420 2022-09-16 00:13:13,288 - mmseg - INFO - Iter [47600/80000] lr: 5.815e-07, eta: 18:22:21, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2971, decode.loss_mask: 0.5143, decode.loss_dice: 0.7676, decode.d0.loss_cls: 1.7670, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8852, decode.d1.loss_cls: 0.3877, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8268, decode.d2.loss_cls: 0.3329, decode.d2.loss_mask: 0.5270, decode.d2.loss_dice: 0.7956, decode.d3.loss_cls: 0.3207, decode.d3.loss_mask: 0.5214, decode.d3.loss_dice: 0.7856, decode.d4.loss_cls: 0.3124, decode.d4.loss_mask: 0.5181, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.3043, decode.d5.loss_mask: 0.5184, decode.d5.loss_dice: 0.7760, decode.d6.loss_cls: 0.2977, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7649, decode.d7.loss_cls: 0.2971, decode.d7.loss_mask: 0.5148, decode.d7.loss_dice: 0.7653, decode.d8.loss_cls: 0.2953, decode.d8.loss_mask: 0.5137, decode.d8.loss_dice: 0.7668, loss: 17.7549 2022-09-16 00:14:46,458 - mmseg - INFO - Iter [47650/80000] lr: 5.806e-07, eta: 18:20:26, time: 1.863, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2814, decode.loss_mask: 0.4951, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.7359, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8397, decode.d1.loss_cls: 0.3772, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.7918, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5102, decode.d2.loss_dice: 0.7546, decode.d3.loss_cls: 0.3036, decode.d3.loss_mask: 0.5020, decode.d3.loss_dice: 0.7410, decode.d4.loss_cls: 0.2998, decode.d4.loss_mask: 0.4991, decode.d4.loss_dice: 0.7426, decode.d5.loss_cls: 0.2868, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7388, decode.d6.loss_cls: 0.2854, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7345, decode.d7.loss_cls: 0.2795, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7350, decode.d8.loss_cls: 0.2830, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7364, loss: 17.0457 2022-09-16 00:16:20,639 - mmseg - INFO - Iter [47700/80000] lr: 5.797e-07, eta: 18:18:34, time: 1.884, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2835, decode.loss_mask: 0.5214, decode.loss_dice: 0.7599, decode.d0.loss_cls: 1.6998, decode.d0.loss_mask: 0.5556, decode.d0.loss_dice: 0.8618, decode.d1.loss_cls: 0.3672, decode.d1.loss_mask: 0.5440, decode.d1.loss_dice: 0.8079, decode.d2.loss_cls: 0.3245, decode.d2.loss_mask: 0.5309, decode.d2.loss_dice: 0.7802, decode.d3.loss_cls: 0.3062, decode.d3.loss_mask: 0.5287, decode.d3.loss_dice: 0.7717, decode.d4.loss_cls: 0.2990, decode.d4.loss_mask: 0.5275, decode.d4.loss_dice: 0.7649, decode.d5.loss_cls: 0.2951, decode.d5.loss_mask: 0.5240, decode.d5.loss_dice: 0.7679, decode.d6.loss_cls: 0.2896, decode.d6.loss_mask: 0.5214, decode.d6.loss_dice: 0.7579, decode.d7.loss_cls: 0.2929, decode.d7.loss_mask: 0.5214, decode.d7.loss_dice: 0.7583, decode.d8.loss_cls: 0.2870, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7618, loss: 17.5342 2022-09-16 00:17:53,340 - mmseg - INFO - Iter [47750/80000] lr: 5.788e-07, eta: 18:16:39, time: 1.854, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2849, decode.loss_mask: 0.5013, decode.loss_dice: 0.7378, decode.d0.loss_cls: 1.6477, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8299, decode.d1.loss_cls: 0.3641, decode.d1.loss_mask: 0.5271, decode.d1.loss_dice: 0.7824, decode.d2.loss_cls: 0.3228, decode.d2.loss_mask: 0.5138, decode.d2.loss_dice: 0.7614, decode.d3.loss_cls: 0.3063, decode.d3.loss_mask: 0.5079, decode.d3.loss_dice: 0.7494, decode.d4.loss_cls: 0.2980, decode.d4.loss_mask: 0.5061, decode.d4.loss_dice: 0.7496, decode.d5.loss_cls: 0.2887, decode.d5.loss_mask: 0.5043, decode.d5.loss_dice: 0.7419, decode.d6.loss_cls: 0.2938, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7365, decode.d7.loss_cls: 0.2871, decode.d7.loss_mask: 0.4993, decode.d7.loss_dice: 0.7347, decode.d8.loss_cls: 0.2879, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7401, loss: 17.0368 2022-09-16 00:19:27,748 - mmseg - INFO - Iter [47800/80000] lr: 5.779e-07, eta: 18:14:47, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2817, decode.loss_mask: 0.5101, decode.loss_dice: 0.7462, decode.d0.loss_cls: 1.7134, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8539, decode.d1.loss_cls: 0.3714, decode.d1.loss_mask: 0.5331, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3186, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.3000, decode.d3.loss_mask: 0.5179, decode.d3.loss_dice: 0.7659, decode.d4.loss_cls: 0.2961, decode.d4.loss_mask: 0.5159, decode.d4.loss_dice: 0.7555, decode.d5.loss_cls: 0.2888, decode.d5.loss_mask: 0.5169, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.2869, decode.d6.loss_mask: 0.5139, decode.d6.loss_dice: 0.7494, decode.d7.loss_cls: 0.2818, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7464, decode.d8.loss_cls: 0.2840, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7484, loss: 17.3308 2022-09-16 00:21:02,736 - mmseg - INFO - Iter [47850/80000] lr: 5.770e-07, eta: 18:12:55, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2694, decode.loss_mask: 0.5002, decode.loss_dice: 0.7339, decode.d0.loss_cls: 1.7004, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8359, decode.d1.loss_cls: 0.3576, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.7874, decode.d2.loss_cls: 0.3127, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7592, decode.d3.loss_cls: 0.2900, decode.d3.loss_mask: 0.5070, decode.d3.loss_dice: 0.7425, decode.d4.loss_cls: 0.2797, decode.d4.loss_mask: 0.5068, decode.d4.loss_dice: 0.7394, decode.d5.loss_cls: 0.2735, decode.d5.loss_mask: 0.5049, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2686, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7382, decode.d7.loss_cls: 0.2725, decode.d7.loss_mask: 0.5008, decode.d7.loss_dice: 0.7358, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7342, loss: 16.9448 2022-09-16 00:22:35,848 - mmseg - INFO - Iter [47900/80000] lr: 5.761e-07, eta: 18:11:01, time: 1.860, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2741, decode.loss_mask: 0.4972, decode.loss_dice: 0.7279, decode.d0.loss_cls: 1.7175, decode.d0.loss_mask: 0.5394, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3699, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.7786, decode.d2.loss_cls: 0.3185, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7540, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.5030, decode.d3.loss_dice: 0.7346, decode.d4.loss_cls: 0.2927, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7362, decode.d5.loss_cls: 0.2875, decode.d5.loss_mask: 0.4980, decode.d5.loss_dice: 0.7322, decode.d6.loss_cls: 0.2819, decode.d6.loss_mask: 0.4974, decode.d6.loss_dice: 0.7264, decode.d7.loss_cls: 0.2753, decode.d7.loss_mask: 0.4958, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2785, decode.d8.loss_mask: 0.4965, decode.d8.loss_dice: 0.7286, loss: 16.9398 2022-09-16 00:24:08,608 - mmseg - INFO - Iter [47950/80000] lr: 5.752e-07, eta: 18:09:07, time: 1.857, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2949, decode.loss_mask: 0.5095, decode.loss_dice: 0.7515, decode.d0.loss_cls: 1.7280, decode.d0.loss_mask: 0.5472, decode.d0.loss_dice: 0.8644, decode.d1.loss_cls: 0.3819, decode.d1.loss_mask: 0.5329, decode.d1.loss_dice: 0.8106, decode.d2.loss_cls: 0.3346, decode.d2.loss_mask: 0.5220, decode.d2.loss_dice: 0.7804, decode.d3.loss_cls: 0.3136, decode.d3.loss_mask: 0.5199, decode.d3.loss_dice: 0.7677, decode.d4.loss_cls: 0.3048, decode.d4.loss_mask: 0.5163, decode.d4.loss_dice: 0.7640, decode.d5.loss_cls: 0.2953, decode.d5.loss_mask: 0.5146, decode.d5.loss_dice: 0.7647, decode.d6.loss_cls: 0.2962, decode.d6.loss_mask: 0.5124, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.2971, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7549, decode.d8.loss_cls: 0.2964, decode.d8.loss_mask: 0.5102, decode.d8.loss_dice: 0.7555, loss: 17.5089 2022-09-16 00:25:43,155 - mmseg - INFO - Saving checkpoint at 48000 iterations 2022-09-16 00:26:12,167 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 00:26:12,169 - mmseg - INFO - Iter [48000/80000] lr: 5.743e-07, eta: 18:07:54, time: 2.470, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2657, decode.loss_mask: 0.5007, decode.loss_dice: 0.7400, decode.d0.loss_cls: 1.7123, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8522, decode.d1.loss_cls: 0.3529, decode.d1.loss_mask: 0.5238, decode.d1.loss_dice: 0.7977, decode.d2.loss_cls: 0.3057, decode.d2.loss_mask: 0.5139, decode.d2.loss_dice: 0.7690, decode.d3.loss_cls: 0.2922, decode.d3.loss_mask: 0.5060, decode.d3.loss_dice: 0.7519, decode.d4.loss_cls: 0.2800, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7477, decode.d5.loss_cls: 0.2771, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7474, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.4995, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.5000, decode.d7.loss_dice: 0.7447, decode.d8.loss_cls: 0.2703, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7452, loss: 17.0153 2022-09-16 00:28:04,839 - mmseg - INFO - per class results: 2022-09-16 00:28:04,851 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.81 | 89.38 | | building | 85.24 | 91.61 | | sky | 94.98 | 97.12 | | floor | 85.34 | 90.82 | | tree | 78.26 | 90.94 | | ceiling | 87.26 | 93.39 | | road | 87.26 | 91.62 | | bed | 93.85 | 97.55 | | windowpane | 66.81 | 80.22 | | grass | 70.88 | 81.72 | | cabinet | 66.29 | 78.34 | | sidewalk | 70.56 | 83.09 | | person | 88.36 | 94.29 | | earth | 40.14 | 56.25 | | door | 60.88 | 77.0 | | table | 70.04 | 82.91 | | mountain | 64.94 | 74.18 | | plant | 56.31 | 70.52 | | curtain | 80.21 | 89.95 | | chair | 70.68 | 81.86 | | car | 89.47 | 94.81 | | water | 64.74 | 83.37 | | painting | 78.37 | 93.77 | | sofa | 83.81 | 89.8 | | shelf | 52.84 | 69.23 | | house | 49.35 | 71.07 | | sea | 69.65 | 83.97 | | mirror | 78.44 | 90.93 | | rug | 68.48 | 83.61 | | field | 31.89 | 53.66 | | armchair | 61.9 | 79.08 | | seat | 73.98 | 89.57 | | fence | 54.38 | 74.62 | | desk | 62.02 | 79.45 | | rock | 60.09 | 75.41 | | wardrobe | 57.95 | 81.29 | | lamp | 79.73 | 89.77 | | bathtub | 91.51 | 93.54 | | railing | 44.0 | 61.36 | | cushion | 71.53 | 83.54 | | base | 47.15 | 70.91 | | box | 41.51 | 56.55 | | column | 59.35 | 74.25 | | signboard | 43.13 | 65.39 | | chest of drawers | 45.54 | 66.91 | | counter | 46.13 | 61.92 | | sand | 56.6 | 87.52 | | sink | 82.82 | 86.31 | | skyscraper | 44.84 | 55.61 | | fireplace | 74.76 | 97.46 | | refrigerator | 84.69 | 92.35 | | grandstand | 51.88 | 83.75 | | path | 26.5 | 41.72 | | stairs | 39.17 | 48.72 | | runway | 66.48 | 84.36 | | case | 72.48 | 86.19 | | pool table | 95.61 | 97.94 | | pillow | 68.83 | 83.45 | | screen door | 84.75 | 92.77 | | stairway | 56.23 | 78.47 | | river | 19.78 | 25.0 | | bridge | 58.04 | 71.41 | | bookcase | 42.13 | 62.85 | | blind | 43.88 | 52.65 | | coffee table | 64.16 | 87.59 | | toilet | 92.14 | 95.08 | | flower | 51.98 | 77.66 | | book | 62.03 | 81.6 | | hill | 7.52 | 18.51 | | bench | 72.91 | 84.23 | | countertop | 68.79 | 84.62 | | stove | 88.04 | 92.09 | | palm | 57.1 | 82.12 | | kitchen island | 47.56 | 74.46 | | computer | 84.3 | 93.22 | | swivel chair | 52.93 | 77.29 | | boat | 58.99 | 92.78 | | bar | 69.89 | 75.42 | | arcade machine | 88.44 | 98.56 | | hovel | 40.67 | 44.5 | | bus | 94.62 | 96.82 | | towel | 79.1 | 90.25 | | light | 69.05 | 81.16 | | truck | 53.51 | 74.01 | | tower | 28.03 | 49.17 | | chandelier | 76.71 | 87.98 | | awning | 39.77 | 53.02 | | streetlight | 48.9 | 69.69 | | booth | 46.03 | 69.97 | | television receiver | 85.5 | 92.84 | | airplane | 86.89 | 97.1 | | dirt track | 10.6 | 54.72 | | apparel | 61.02 | 85.99 | | pole | 41.09 | 56.09 | | land | 0.25 | 0.35 | | bannister | 26.49 | 43.43 | | escalator | 59.66 | 77.78 | | ottoman | 57.85 | 80.35 | | bottle | 53.55 | 70.14 | | buffet | 57.53 | 65.48 | | poster | 30.99 | 44.63 | | stage | 17.79 | 36.4 | | van | 52.16 | 75.56 | | ship | 75.67 | 92.06 | | fountain | 26.41 | 27.06 | | conveyer belt | 79.05 | 97.86 | | canopy | 54.81 | 80.27 | | washer | 73.57 | 88.41 | | plaything | 42.34 | 68.27 | | swimming pool | 71.94 | 72.46 | | stool | 63.91 | 78.83 | | barrel | 87.94 | 97.7 | | basket | 48.65 | 70.19 | | waterfall | 45.48 | 48.7 | | tent | 89.1 | 97.98 | | bag | 30.99 | 36.92 | | minibike | 82.26 | 93.49 | | cradle | 87.41 | 97.85 | | oven | 66.42 | 82.9 | | ball | 33.65 | 36.16 | | food | 72.22 | 87.22 | | step | 16.66 | 18.69 | | tank | 64.71 | 66.55 | | trade name | 28.31 | 32.24 | | microwave | 89.26 | 94.21 | | pot | 62.71 | 77.43 | | animal | 84.64 | 88.07 | | bicycle | 64.38 | 82.17 | | lake | 61.14 | 62.73 | | dishwasher | 79.07 | 91.4 | | screen | 48.36 | 66.81 | | blanket | 33.79 | 41.19 | | sculpture | 63.15 | 91.77 | | hood | 76.85 | 91.94 | | sconce | 65.23 | 79.04 | | vase | 60.36 | 83.43 | | traffic light | 52.01 | 76.0 | | tray | 31.14 | 43.58 | | ashcan | 55.38 | 76.85 | | fan | 74.12 | 84.77 | | pier | 80.56 | 85.79 | | crt screen | 4.98 | 16.79 | | plate | 65.53 | 80.56 | | monitor | 12.8 | 14.99 | | bulletin board | 50.49 | 64.13 | | shower | 21.61 | 29.59 | | radiator | 74.5 | 91.22 | | glass | 27.87 | 31.04 | | clock | 58.53 | 71.03 | | flag | 72.69 | 85.36 | +---------------------+-------+-------+ 2022-09-16 00:28:04,851 - mmseg - INFO - Summary: 2022-09-16 00:28:04,851 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 86.66 | 60.5 | 74.17 | +-------+------+-------+ 2022-09-16 00:28:04,859 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 00:28:04,860 - mmseg - INFO - Iter(val) [125] aAcc: 0.8666, mIoU: 0.6050, mAcc: 0.7417, IoU.wall: 0.8281, IoU.building: 0.8524, IoU.sky: 0.9498, IoU.floor: 0.8534, IoU.tree: 0.7826, IoU.ceiling: 0.8726, IoU.road: 0.8726, IoU.bed : 0.9385, IoU.windowpane: 0.6681, IoU.grass: 0.7088, IoU.cabinet: 0.6629, IoU.sidewalk: 0.7056, IoU.person: 0.8836, IoU.earth: 0.4014, IoU.door: 0.6088, IoU.table: 0.7004, IoU.mountain: 0.6494, IoU.plant: 0.5631, IoU.curtain: 0.8021, IoU.chair: 0.7068, IoU.car: 0.8947, IoU.water: 0.6474, IoU.painting: 0.7837, IoU.sofa: 0.8381, IoU.shelf: 0.5284, IoU.house: 0.4935, IoU.sea: 0.6965, IoU.mirror: 0.7844, IoU.rug: 0.6848, IoU.field: 0.3189, IoU.armchair: 0.6190, IoU.seat: 0.7398, IoU.fence: 0.5438, IoU.desk: 0.6202, IoU.rock: 0.6009, IoU.wardrobe: 0.5795, IoU.lamp: 0.7973, IoU.bathtub: 0.9151, IoU.railing: 0.4400, IoU.cushion: 0.7153, IoU.base: 0.4715, IoU.box: 0.4151, IoU.column: 0.5935, IoU.signboard: 0.4313, IoU.chest of drawers: 0.4554, IoU.counter: 0.4613, IoU.sand: 0.5660, IoU.sink: 0.8282, IoU.skyscraper: 0.4484, IoU.fireplace: 0.7476, IoU.refrigerator: 0.8469, IoU.grandstand: 0.5188, IoU.path: 0.2650, IoU.stairs: 0.3917, IoU.runway: 0.6648, IoU.case: 0.7248, IoU.pool table: 0.9561, IoU.pillow: 0.6883, IoU.screen door: 0.8475, IoU.stairway: 0.5623, IoU.river: 0.1978, IoU.bridge: 0.5804, IoU.bookcase: 0.4213, IoU.blind: 0.4388, IoU.coffee table: 0.6416, IoU.toilet: 0.9214, IoU.flower: 0.5198, IoU.book: 0.6203, IoU.hill: 0.0752, IoU.bench: 0.7291, IoU.countertop: 0.6879, IoU.stove: 0.8804, IoU.palm: 0.5710, IoU.kitchen island: 0.4756, IoU.computer: 0.8430, IoU.swivel chair: 0.5293, IoU.boat: 0.5899, IoU.bar: 0.6989, IoU.arcade machine: 0.8844, IoU.hovel: 0.4067, IoU.bus: 0.9462, IoU.towel: 0.7910, IoU.light: 0.6905, IoU.truck: 0.5351, IoU.tower: 0.2803, IoU.chandelier: 0.7671, IoU.awning: 0.3977, IoU.streetlight: 0.4890, IoU.booth: 0.4603, IoU.television receiver: 0.8550, IoU.airplane: 0.8689, IoU.dirt track: 0.1060, IoU.apparel: 0.6102, IoU.pole: 0.4109, IoU.land: 0.0025, IoU.bannister: 0.2649, IoU.escalator: 0.5966, IoU.ottoman: 0.5785, IoU.bottle: 0.5355, IoU.buffet: 0.5753, IoU.poster: 0.3099, IoU.stage: 0.1779, IoU.van: 0.5216, IoU.ship: 0.7567, IoU.fountain: 0.2641, IoU.conveyer belt: 0.7905, IoU.canopy: 0.5481, IoU.washer: 0.7357, IoU.plaything: 0.4234, IoU.swimming pool: 0.7194, IoU.stool: 0.6391, IoU.barrel: 0.8794, IoU.basket: 0.4865, IoU.waterfall: 0.4548, IoU.tent: 0.8910, IoU.bag: 0.3099, IoU.minibike: 0.8226, IoU.cradle: 0.8741, IoU.oven: 0.6642, IoU.ball: 0.3365, IoU.food: 0.7222, IoU.step: 0.1666, IoU.tank: 0.6471, IoU.trade name: 0.2831, IoU.microwave: 0.8926, IoU.pot: 0.6271, IoU.animal: 0.8464, IoU.bicycle: 0.6438, IoU.lake: 0.6114, IoU.dishwasher: 0.7907, IoU.screen: 0.4836, IoU.blanket: 0.3379, IoU.sculpture: 0.6315, IoU.hood: 0.7685, IoU.sconce: 0.6523, IoU.vase: 0.6036, IoU.traffic light: 0.5201, IoU.tray: 0.3114, IoU.ashcan: 0.5538, IoU.fan: 0.7412, IoU.pier: 0.8056, IoU.crt screen: 0.0498, IoU.plate: 0.6553, IoU.monitor: 0.1280, IoU.bulletin board: 0.5049, IoU.shower: 0.2161, IoU.radiator: 0.7450, IoU.glass: 0.2787, IoU.clock: 0.5853, IoU.flag: 0.7269, Acc.wall: 0.8938, Acc.building: 0.9161, Acc.sky: 0.9712, Acc.floor: 0.9082, Acc.tree: 0.9094, Acc.ceiling: 0.9339, Acc.road: 0.9162, Acc.bed : 0.9755, Acc.windowpane: 0.8022, Acc.grass: 0.8172, Acc.cabinet: 0.7834, Acc.sidewalk: 0.8309, Acc.person: 0.9429, Acc.earth: 0.5625, Acc.door: 0.7700, Acc.table: 0.8291, Acc.mountain: 0.7418, Acc.plant: 0.7052, Acc.curtain: 0.8995, Acc.chair: 0.8186, Acc.car: 0.9481, Acc.water: 0.8337, Acc.painting: 0.9377, Acc.sofa: 0.8980, Acc.shelf: 0.6923, Acc.house: 0.7107, Acc.sea: 0.8397, Acc.mirror: 0.9093, Acc.rug: 0.8361, Acc.field: 0.5366, Acc.armchair: 0.7908, Acc.seat: 0.8957, Acc.fence: 0.7462, Acc.desk: 0.7945, Acc.rock: 0.7541, Acc.wardrobe: 0.8129, Acc.lamp: 0.8977, Acc.bathtub: 0.9354, Acc.railing: 0.6136, Acc.cushion: 0.8354, Acc.base: 0.7091, Acc.box: 0.5655, Acc.column: 0.7425, Acc.signboard: 0.6539, Acc.chest of drawers: 0.6691, Acc.counter: 0.6192, Acc.sand: 0.8752, Acc.sink: 0.8631, Acc.skyscraper: 0.5561, Acc.fireplace: 0.9746, Acc.refrigerator: 0.9235, Acc.grandstand: 0.8375, Acc.path: 0.4172, Acc.stairs: 0.4872, Acc.runway: 0.8436, Acc.case: 0.8619, Acc.pool table: 0.9794, Acc.pillow: 0.8345, Acc.screen door: 0.9277, Acc.stairway: 0.7847, Acc.river: 0.2500, Acc.bridge: 0.7141, Acc.bookcase: 0.6285, Acc.blind: 0.5265, Acc.coffee table: 0.8759, Acc.toilet: 0.9508, Acc.flower: 0.7766, Acc.book: 0.8160, Acc.hill: 0.1851, Acc.bench: 0.8423, Acc.countertop: 0.8462, Acc.stove: 0.9209, Acc.palm: 0.8212, Acc.kitchen island: 0.7446, Acc.computer: 0.9322, Acc.swivel chair: 0.7729, Acc.boat: 0.9278, Acc.bar: 0.7542, Acc.arcade machine: 0.9856, Acc.hovel: 0.4450, Acc.bus: 0.9682, Acc.towel: 0.9025, Acc.light: 0.8116, Acc.truck: 0.7401, Acc.tower: 0.4917, Acc.chandelier: 0.8798, Acc.awning: 0.5302, Acc.streetlight: 0.6969, Acc.booth: 0.6997, Acc.television receiver: 0.9284, Acc.airplane: 0.9710, Acc.dirt track: 0.5472, Acc.apparel: 0.8599, Acc.pole: 0.5609, Acc.land: 0.0035, Acc.bannister: 0.4343, Acc.escalator: 0.7778, Acc.ottoman: 0.8035, Acc.bottle: 0.7014, Acc.buffet: 0.6548, Acc.poster: 0.4463, Acc.stage: 0.3640, Acc.van: 0.7556, Acc.ship: 0.9206, Acc.fountain: 0.2706, Acc.conveyer belt: 0.9786, Acc.canopy: 0.8027, Acc.washer: 0.8841, Acc.plaything: 0.6827, Acc.swimming pool: 0.7246, Acc.stool: 0.7883, Acc.barrel: 0.9770, Acc.basket: 0.7019, Acc.waterfall: 0.4870, Acc.tent: 0.9798, Acc.bag: 0.3692, Acc.minibike: 0.9349, Acc.cradle: 0.9785, Acc.oven: 0.8290, Acc.ball: 0.3616, Acc.food: 0.8722, Acc.step: 0.1869, Acc.tank: 0.6655, Acc.trade name: 0.3224, Acc.microwave: 0.9421, Acc.pot: 0.7743, Acc.animal: 0.8807, Acc.bicycle: 0.8217, Acc.lake: 0.6273, Acc.dishwasher: 0.9140, Acc.screen: 0.6681, Acc.blanket: 0.4119, Acc.sculpture: 0.9177, Acc.hood: 0.9194, Acc.sconce: 0.7904, Acc.vase: 0.8343, Acc.traffic light: 0.7600, Acc.tray: 0.4358, Acc.ashcan: 0.7685, Acc.fan: 0.8477, Acc.pier: 0.8579, Acc.crt screen: 0.1679, Acc.plate: 0.8056, Acc.monitor: 0.1499, Acc.bulletin board: 0.6413, Acc.shower: 0.2959, Acc.radiator: 0.9122, Acc.glass: 0.3104, Acc.clock: 0.7103, Acc.flag: 0.8536 2022-09-16 00:29:43,669 - mmseg - INFO - Iter [48050/80000] lr: 5.734e-07, eta: 18:08:37, time: 4.232, data_time: 2.320, memory: 47124, decode.loss_cls: 0.2977, decode.loss_mask: 0.4876, decode.loss_dice: 0.7385, decode.d0.loss_cls: 1.7096, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3840, decode.d1.loss_mask: 0.5149, decode.d1.loss_dice: 0.7908, decode.d2.loss_cls: 0.3280, decode.d2.loss_mask: 0.5029, decode.d2.loss_dice: 0.7603, decode.d3.loss_cls: 0.3184, decode.d3.loss_mask: 0.4932, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.3079, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7480, decode.d5.loss_cls: 0.3045, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7408, decode.d6.loss_cls: 0.2955, decode.d6.loss_mask: 0.4893, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.2943, decode.d7.loss_mask: 0.4896, decode.d7.loss_dice: 0.7448, decode.d8.loss_cls: 0.2952, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7394, loss: 17.1159 2022-09-16 00:31:18,020 - mmseg - INFO - Iter [48100/80000] lr: 5.725e-07, eta: 18:06:45, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2602, decode.loss_mask: 0.4995, decode.loss_dice: 0.7276, decode.d0.loss_cls: 1.6656, decode.d0.loss_mask: 0.5355, decode.d0.loss_dice: 0.8278, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.7765, decode.d2.loss_cls: 0.3072, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2835, decode.d3.loss_mask: 0.5067, decode.d3.loss_dice: 0.7406, decode.d4.loss_cls: 0.2761, decode.d4.loss_mask: 0.5032, decode.d4.loss_dice: 0.7367, decode.d5.loss_cls: 0.2660, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7299, decode.d6.loss_cls: 0.2626, decode.d6.loss_mask: 0.4998, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2636, decode.d7.loss_mask: 0.4995, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7292, loss: 16.7533 2022-09-16 00:32:51,632 - mmseg - INFO - Iter [48150/80000] lr: 5.716e-07, eta: 18:04:51, time: 1.872, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2693, decode.loss_mask: 0.5231, decode.loss_dice: 0.7439, decode.d0.loss_cls: 1.6835, decode.d0.loss_mask: 0.5559, decode.d0.loss_dice: 0.8531, decode.d1.loss_cls: 0.3521, decode.d1.loss_mask: 0.5495, decode.d1.loss_dice: 0.7991, decode.d2.loss_cls: 0.3073, decode.d2.loss_mask: 0.5382, decode.d2.loss_dice: 0.7694, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.5305, decode.d3.loss_dice: 0.7617, decode.d4.loss_cls: 0.2811, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.7585, decode.d5.loss_cls: 0.2783, decode.d5.loss_mask: 0.5278, decode.d5.loss_dice: 0.7530, decode.d6.loss_cls: 0.2752, decode.d6.loss_mask: 0.5242, decode.d6.loss_dice: 0.7465, decode.d7.loss_cls: 0.2740, decode.d7.loss_mask: 0.5215, decode.d7.loss_dice: 0.7465, decode.d8.loss_cls: 0.2720, decode.d8.loss_mask: 0.5218, decode.d8.loss_dice: 0.7474, loss: 17.2825 2022-09-16 00:34:25,376 - mmseg - INFO - Iter [48200/80000] lr: 5.707e-07, eta: 18:02:58, time: 1.875, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2799, decode.loss_mask: 0.5038, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.7268, decode.d0.loss_mask: 0.5439, decode.d0.loss_dice: 0.8396, decode.d1.loss_cls: 0.3655, decode.d1.loss_mask: 0.5357, decode.d1.loss_dice: 0.7865, decode.d2.loss_cls: 0.3250, decode.d2.loss_mask: 0.5190, decode.d2.loss_dice: 0.7566, decode.d3.loss_cls: 0.3104, decode.d3.loss_mask: 0.5112, decode.d3.loss_dice: 0.7377, decode.d4.loss_cls: 0.3005, decode.d4.loss_mask: 0.5086, decode.d4.loss_dice: 0.7357, decode.d5.loss_cls: 0.2887, decode.d5.loss_mask: 0.5082, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2856, decode.d6.loss_mask: 0.5069, decode.d6.loss_dice: 0.7306, decode.d7.loss_cls: 0.2829, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7262, decode.d8.loss_cls: 0.2803, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7296, loss: 17.0920 2022-09-16 00:36:00,020 - mmseg - INFO - Iter [48250/80000] lr: 5.698e-07, eta: 18:01:06, time: 1.892, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2690, decode.loss_mask: 0.4801, decode.loss_dice: 0.7392, decode.d0.loss_cls: 1.7310, decode.d0.loss_mask: 0.5129, decode.d0.loss_dice: 0.8441, decode.d1.loss_cls: 0.3598, decode.d1.loss_mask: 0.5061, decode.d1.loss_dice: 0.7934, decode.d2.loss_cls: 0.3082, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.2957, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.7460, decode.d4.loss_cls: 0.2844, decode.d4.loss_mask: 0.4831, decode.d4.loss_dice: 0.7413, decode.d5.loss_cls: 0.2814, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7430, decode.d6.loss_cls: 0.2740, decode.d6.loss_mask: 0.4798, decode.d6.loss_dice: 0.7350, decode.d7.loss_cls: 0.2716, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.7354, decode.d8.loss_cls: 0.2745, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.7321, loss: 16.8034 2022-09-16 00:37:33,801 - mmseg - INFO - Iter [48300/80000] lr: 5.690e-07, eta: 17:59:13, time: 1.877, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2913, decode.loss_mask: 0.4911, decode.loss_dice: 0.7391, decode.d0.loss_cls: 1.7403, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8466, decode.d1.loss_cls: 0.3771, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.3328, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7678, decode.d3.loss_cls: 0.3107, decode.d3.loss_mask: 0.4971, decode.d3.loss_dice: 0.7538, decode.d4.loss_cls: 0.3065, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7507, decode.d5.loss_cls: 0.2967, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7452, decode.d6.loss_cls: 0.2950, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7348, decode.d7.loss_cls: 0.2933, decode.d7.loss_mask: 0.4923, decode.d7.loss_dice: 0.7413, decode.d8.loss_cls: 0.2889, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7402, loss: 17.1377 2022-09-16 00:39:09,003 - mmseg - INFO - Iter [48350/80000] lr: 5.681e-07, eta: 17:57:22, time: 1.904, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2914, decode.loss_mask: 0.5115, decode.loss_dice: 0.7345, decode.d0.loss_cls: 1.7496, decode.d0.loss_mask: 0.5474, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3806, decode.d1.loss_mask: 0.5313, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.3333, decode.d2.loss_mask: 0.5189, decode.d2.loss_dice: 0.7577, decode.d3.loss_cls: 0.3087, decode.d3.loss_mask: 0.5172, decode.d3.loss_dice: 0.7450, decode.d4.loss_cls: 0.3038, decode.d4.loss_mask: 0.5161, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2925, decode.d5.loss_mask: 0.5118, decode.d5.loss_dice: 0.7432, decode.d6.loss_cls: 0.2939, decode.d6.loss_mask: 0.5112, decode.d6.loss_dice: 0.7392, decode.d7.loss_cls: 0.2898, decode.d7.loss_mask: 0.5099, decode.d7.loss_dice: 0.7363, decode.d8.loss_cls: 0.2910, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7380, loss: 17.2856 2022-09-16 00:40:43,441 - mmseg - INFO - Iter [48400/80000] lr: 5.672e-07, eta: 17:55:30, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2938, decode.loss_mask: 0.4997, decode.loss_dice: 0.7425, decode.d0.loss_cls: 1.7344, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.8532, decode.d1.loss_cls: 0.3786, decode.d1.loss_mask: 0.5222, decode.d1.loss_dice: 0.7977, decode.d2.loss_cls: 0.3304, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7713, decode.d3.loss_cls: 0.3191, decode.d3.loss_mask: 0.5079, decode.d3.loss_dice: 0.7555, decode.d4.loss_cls: 0.3042, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.2981, decode.d5.loss_mask: 0.5038, decode.d5.loss_dice: 0.7498, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2940, decode.d7.loss_mask: 0.4995, decode.d7.loss_dice: 0.7437, decode.d8.loss_cls: 0.2961, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7442, loss: 17.2896 2022-09-16 00:42:17,008 - mmseg - INFO - Iter [48450/80000] lr: 5.663e-07, eta: 17:53:36, time: 1.871, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2579, decode.loss_mask: 0.5015, decode.loss_dice: 0.7248, decode.d0.loss_cls: 1.6663, decode.d0.loss_mask: 0.5372, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3406, decode.d1.loss_mask: 0.5212, decode.d1.loss_dice: 0.7667, decode.d2.loss_cls: 0.2964, decode.d2.loss_mask: 0.5098, decode.d2.loss_dice: 0.7421, decode.d3.loss_cls: 0.2801, decode.d3.loss_mask: 0.5042, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2696, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7333, decode.d5.loss_cls: 0.2677, decode.d5.loss_mask: 0.5001, decode.d5.loss_dice: 0.7218, decode.d6.loss_cls: 0.2619, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7191, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.5002, decode.d7.loss_dice: 0.7220, decode.d8.loss_cls: 0.2593, decode.d8.loss_mask: 0.5014, decode.d8.loss_dice: 0.7223, loss: 16.6370 2022-09-16 00:43:50,042 - mmseg - INFO - Iter [48500/80000] lr: 5.654e-07, eta: 17:51:43, time: 1.861, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2836, decode.loss_mask: 0.4977, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.7222, decode.d0.loss_mask: 0.5283, decode.d0.loss_dice: 0.8576, decode.d1.loss_cls: 0.3630, decode.d1.loss_mask: 0.5263, decode.d1.loss_dice: 0.8090, decode.d2.loss_cls: 0.3149, decode.d2.loss_mask: 0.5086, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.3010, decode.d3.loss_mask: 0.5073, decode.d3.loss_dice: 0.7709, decode.d4.loss_cls: 0.2963, decode.d4.loss_mask: 0.5030, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.2861, decode.d5.loss_mask: 0.5008, decode.d5.loss_dice: 0.7629, decode.d6.loss_cls: 0.2835, decode.d6.loss_mask: 0.4983, decode.d6.loss_dice: 0.7547, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2789, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7545, loss: 17.2378 2022-09-16 00:45:25,259 - mmseg - INFO - Iter [48550/80000] lr: 5.645e-07, eta: 17:49:52, time: 1.904, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2758, decode.loss_mask: 0.5070, decode.loss_dice: 0.7363, decode.d0.loss_cls: 1.6874, decode.d0.loss_mask: 0.5442, decode.d0.loss_dice: 0.8453, decode.d1.loss_cls: 0.3539, decode.d1.loss_mask: 0.5299, decode.d1.loss_dice: 0.7864, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5191, decode.d2.loss_dice: 0.7618, decode.d3.loss_cls: 0.2936, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7542, decode.d4.loss_cls: 0.2895, decode.d4.loss_mask: 0.5126, decode.d4.loss_dice: 0.7512, decode.d5.loss_cls: 0.2805, decode.d5.loss_mask: 0.5119, decode.d5.loss_dice: 0.7511, decode.d6.loss_cls: 0.2771, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7432, decode.d7.loss_cls: 0.2752, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7408, decode.d8.loss_cls: 0.2701, decode.d8.loss_mask: 0.5097, decode.d8.loss_dice: 0.7395, loss: 17.0940 2022-09-16 00:47:00,266 - mmseg - INFO - Iter [48600/80000] lr: 5.636e-07, eta: 17:48:01, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2957, decode.loss_mask: 0.5076, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.6947, decode.d0.loss_mask: 0.5439, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.3719, decode.d1.loss_mask: 0.5342, decode.d1.loss_dice: 0.8049, decode.d2.loss_cls: 0.3319, decode.d2.loss_mask: 0.5181, decode.d2.loss_dice: 0.7741, decode.d3.loss_cls: 0.3153, decode.d3.loss_mask: 0.5136, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.3059, decode.d4.loss_mask: 0.5120, decode.d4.loss_dice: 0.7538, decode.d5.loss_cls: 0.3050, decode.d5.loss_mask: 0.5094, decode.d5.loss_dice: 0.7529, decode.d6.loss_cls: 0.3034, decode.d6.loss_mask: 0.5074, decode.d6.loss_dice: 0.7486, decode.d7.loss_cls: 0.2967, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7493, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.5068, decode.d8.loss_dice: 0.7503, loss: 17.3721 2022-09-16 00:48:35,479 - mmseg - INFO - Iter [48650/80000] lr: 5.627e-07, eta: 17:46:10, time: 1.904, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2615, decode.loss_mask: 0.4842, decode.loss_dice: 0.7242, decode.d0.loss_cls: 1.7074, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.8302, decode.d1.loss_cls: 0.3471, decode.d1.loss_mask: 0.5070, decode.d1.loss_dice: 0.7784, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7500, decode.d3.loss_cls: 0.2817, decode.d3.loss_mask: 0.4934, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2721, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7356, decode.d5.loss_cls: 0.2639, decode.d5.loss_mask: 0.4906, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2679, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7235, decode.d7.loss_cls: 0.2663, decode.d7.loss_mask: 0.4857, decode.d7.loss_dice: 0.7265, decode.d8.loss_cls: 0.2600, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7264, loss: 16.6388 2022-09-16 00:50:08,974 - mmseg - INFO - Iter [48700/80000] lr: 5.618e-07, eta: 17:44:17, time: 1.870, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2586, decode.loss_mask: 0.4895, decode.loss_dice: 0.7275, decode.d0.loss_cls: 1.6681, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.8307, decode.d1.loss_cls: 0.3372, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7846, decode.d2.loss_cls: 0.2959, decode.d2.loss_mask: 0.5022, decode.d2.loss_dice: 0.7568, decode.d3.loss_cls: 0.2763, decode.d3.loss_mask: 0.5002, decode.d3.loss_dice: 0.7446, decode.d4.loss_cls: 0.2685, decode.d4.loss_mask: 0.4958, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2602, decode.d5.loss_mask: 0.4952, decode.d5.loss_dice: 0.7338, decode.d6.loss_cls: 0.2568, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7354, decode.d7.loss_cls: 0.2546, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7300, decode.d8.loss_cls: 0.2553, decode.d8.loss_mask: 0.4909, decode.d8.loss_dice: 0.7291, loss: 16.6516 2022-09-16 00:51:43,669 - mmseg - INFO - Iter [48750/80000] lr: 5.609e-07, eta: 17:42:26, time: 1.894, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2786, decode.loss_mask: 0.5053, decode.loss_dice: 0.7494, decode.d0.loss_cls: 1.7357, decode.d0.loss_mask: 0.5376, decode.d0.loss_dice: 0.8590, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.8036, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7736, decode.d3.loss_cls: 0.2974, decode.d3.loss_mask: 0.5114, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.2880, decode.d4.loss_mask: 0.5096, decode.d4.loss_dice: 0.7612, decode.d5.loss_cls: 0.2831, decode.d5.loss_mask: 0.5057, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.5056, decode.d6.loss_dice: 0.7498, decode.d7.loss_cls: 0.2766, decode.d7.loss_mask: 0.5020, decode.d7.loss_dice: 0.7475, decode.d8.loss_cls: 0.2731, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7499, loss: 17.2178 2022-09-16 00:53:18,384 - mmseg - INFO - Iter [48800/80000] lr: 5.600e-07, eta: 17:40:35, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2691, decode.loss_mask: 0.4921, decode.loss_dice: 0.7356, decode.d0.loss_cls: 1.7304, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8380, decode.d1.loss_cls: 0.3498, decode.d1.loss_mask: 0.5171, decode.d1.loss_dice: 0.7946, decode.d2.loss_cls: 0.3122, decode.d2.loss_mask: 0.5043, decode.d2.loss_dice: 0.7618, decode.d3.loss_cls: 0.2880, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7461, decode.d4.loss_cls: 0.2839, decode.d4.loss_mask: 0.4971, decode.d4.loss_dice: 0.7505, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7403, decode.d6.loss_cls: 0.2720, decode.d6.loss_mask: 0.4928, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2681, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7399, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.4950, decode.d8.loss_dice: 0.7344, loss: 16.9086 2022-09-16 00:54:51,845 - mmseg - INFO - Iter [48850/80000] lr: 5.591e-07, eta: 17:38:42, time: 1.869, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2888, decode.loss_mask: 0.4990, decode.loss_dice: 0.7505, decode.d0.loss_cls: 1.7209, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8529, decode.d1.loss_cls: 0.3637, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.8082, decode.d2.loss_cls: 0.3243, decode.d2.loss_mask: 0.5149, decode.d2.loss_dice: 0.7792, decode.d3.loss_cls: 0.3145, decode.d3.loss_mask: 0.5075, decode.d3.loss_dice: 0.7630, decode.d4.loss_cls: 0.3044, decode.d4.loss_mask: 0.5040, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.2936, decode.d5.loss_mask: 0.5031, decode.d5.loss_dice: 0.7615, decode.d6.loss_cls: 0.2915, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7530, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5003, decode.d7.loss_dice: 0.7521, decode.d8.loss_cls: 0.2910, decode.d8.loss_mask: 0.5014, decode.d8.loss_dice: 0.7567, loss: 17.3129 2022-09-16 00:56:27,469 - mmseg - INFO - Iter [48900/80000] lr: 5.582e-07, eta: 17:36:52, time: 1.913, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2876, decode.loss_mask: 0.5103, decode.loss_dice: 0.7392, decode.d0.loss_cls: 1.7212, decode.d0.loss_mask: 0.5439, decode.d0.loss_dice: 0.8419, decode.d1.loss_cls: 0.3622, decode.d1.loss_mask: 0.5411, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5292, decode.d2.loss_dice: 0.7694, decode.d3.loss_cls: 0.3130, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7553, decode.d4.loss_cls: 0.3008, decode.d4.loss_mask: 0.5157, decode.d4.loss_dice: 0.7530, decode.d5.loss_cls: 0.2906, decode.d5.loss_mask: 0.5130, decode.d5.loss_dice: 0.7481, decode.d6.loss_cls: 0.2854, decode.d6.loss_mask: 0.5117, decode.d6.loss_dice: 0.7469, decode.d7.loss_cls: 0.2888, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7423, decode.d8.loss_cls: 0.2858, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7424, loss: 17.2949 2022-09-16 00:58:02,010 - mmseg - INFO - Iter [48950/80000] lr: 5.573e-07, eta: 17:35:01, time: 1.890, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2655, decode.loss_mask: 0.5086, decode.loss_dice: 0.7257, decode.d0.loss_cls: 1.7183, decode.d0.loss_mask: 0.5433, decode.d0.loss_dice: 0.8296, decode.d1.loss_cls: 0.3512, decode.d1.loss_mask: 0.5339, decode.d1.loss_dice: 0.7797, decode.d2.loss_cls: 0.3099, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.7526, decode.d3.loss_cls: 0.2950, decode.d3.loss_mask: 0.5140, decode.d3.loss_dice: 0.7350, decode.d4.loss_cls: 0.2838, decode.d4.loss_mask: 0.5157, decode.d4.loss_dice: 0.7380, decode.d5.loss_cls: 0.2757, decode.d5.loss_mask: 0.5102, decode.d5.loss_dice: 0.7314, decode.d6.loss_cls: 0.2758, decode.d6.loss_mask: 0.5090, decode.d6.loss_dice: 0.7259, decode.d7.loss_cls: 0.2671, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7294, decode.d8.loss_cls: 0.2670, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7236, loss: 16.9496 2022-09-16 00:59:36,840 - mmseg - INFO - Saving checkpoint at 49000 iterations 2022-09-16 01:00:09,821 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 01:00:09,830 - mmseg - INFO - Iter [49000/80000] lr: 5.564e-07, eta: 17:33:51, time: 2.552, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2909, decode.loss_mask: 0.5293, decode.loss_dice: 0.7512, decode.d0.loss_cls: 1.7172, decode.d0.loss_mask: 0.5584, decode.d0.loss_dice: 0.8527, decode.d1.loss_cls: 0.3800, decode.d1.loss_mask: 0.5529, decode.d1.loss_dice: 0.8016, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5439, decode.d2.loss_dice: 0.7784, decode.d3.loss_cls: 0.3185, decode.d3.loss_mask: 0.5364, decode.d3.loss_dice: 0.7611, decode.d4.loss_cls: 0.3041, decode.d4.loss_mask: 0.5342, decode.d4.loss_dice: 0.7568, decode.d5.loss_cls: 0.2985, decode.d5.loss_mask: 0.5275, decode.d5.loss_dice: 0.7539, decode.d6.loss_cls: 0.2947, decode.d6.loss_mask: 0.5281, decode.d6.loss_dice: 0.7546, decode.d7.loss_cls: 0.2957, decode.d7.loss_mask: 0.5262, decode.d7.loss_dice: 0.7530, decode.d8.loss_cls: 0.2925, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7502, loss: 17.6065 2022-09-16 01:01:44,210 - mmseg - INFO - Iter [49050/80000] lr: 5.555e-07, eta: 17:32:00, time: 1.893, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2595, decode.loss_mask: 0.4945, decode.loss_dice: 0.7100, decode.d0.loss_cls: 1.7130, decode.d0.loss_mask: 0.5260, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3409, decode.d1.loss_mask: 0.5151, decode.d1.loss_dice: 0.7620, decode.d2.loss_cls: 0.2938, decode.d2.loss_mask: 0.5035, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2752, decode.d3.loss_mask: 0.4981, decode.d3.loss_dice: 0.7192, decode.d4.loss_cls: 0.2678, decode.d4.loss_mask: 0.4976, decode.d4.loss_dice: 0.7208, decode.d5.loss_cls: 0.2625, decode.d5.loss_mask: 0.4973, decode.d5.loss_dice: 0.7157, decode.d6.loss_cls: 0.2564, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2548, decode.d7.loss_mask: 0.4950, decode.d7.loss_dice: 0.7103, decode.d8.loss_cls: 0.2511, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7087, loss: 16.4903 2022-09-16 01:03:18,694 - mmseg - INFO - Iter [49100/80000] lr: 5.546e-07, eta: 17:30:09, time: 1.890, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2853, decode.loss_mask: 0.5037, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.7188, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8475, decode.d1.loss_cls: 0.3727, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.7873, decode.d2.loss_cls: 0.3166, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.3010, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7487, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7451, decode.d5.loss_cls: 0.2859, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7426, decode.d6.loss_cls: 0.2873, decode.d6.loss_mask: 0.5050, decode.d6.loss_dice: 0.7363, decode.d7.loss_cls: 0.2827, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2819, decode.d8.loss_mask: 0.5044, decode.d8.loss_dice: 0.7358, loss: 17.1464 2022-09-16 01:04:52,211 - mmseg - INFO - Iter [49150/80000] lr: 5.537e-07, eta: 17:28:16, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2881, decode.loss_mask: 0.5073, decode.loss_dice: 0.7552, decode.d0.loss_cls: 1.7446, decode.d0.loss_mask: 0.5380, decode.d0.loss_dice: 0.8485, decode.d1.loss_cls: 0.3689, decode.d1.loss_mask: 0.5311, decode.d1.loss_dice: 0.7986, decode.d2.loss_cls: 0.3245, decode.d2.loss_mask: 0.5198, decode.d2.loss_dice: 0.7750, decode.d3.loss_cls: 0.3070, decode.d3.loss_mask: 0.5159, decode.d3.loss_dice: 0.7610, decode.d4.loss_cls: 0.3058, decode.d4.loss_mask: 0.5129, decode.d4.loss_dice: 0.7565, decode.d5.loss_cls: 0.2953, decode.d5.loss_mask: 0.5105, decode.d5.loss_dice: 0.7561, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7542, decode.d7.loss_cls: 0.2885, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7531, decode.d8.loss_cls: 0.2907, decode.d8.loss_mask: 0.5078, decode.d8.loss_dice: 0.7508, loss: 17.3728 2022-09-16 01:06:26,507 - mmseg - INFO - Iter [49200/80000] lr: 5.528e-07, eta: 17:26:25, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2998, decode.loss_mask: 0.4862, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.7461, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8401, decode.d1.loss_cls: 0.3837, decode.d1.loss_mask: 0.5149, decode.d1.loss_dice: 0.7903, decode.d2.loss_cls: 0.3386, decode.d2.loss_mask: 0.5036, decode.d2.loss_dice: 0.7680, decode.d3.loss_cls: 0.3224, decode.d3.loss_mask: 0.4929, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.3109, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7433, decode.d5.loss_cls: 0.3060, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7411, decode.d6.loss_cls: 0.3019, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7366, decode.d7.loss_cls: 0.2980, decode.d7.loss_mask: 0.4876, decode.d7.loss_dice: 0.7410, decode.d8.loss_cls: 0.2999, decode.d8.loss_mask: 0.4839, decode.d8.loss_dice: 0.7375, loss: 17.1477 2022-09-16 01:08:01,233 - mmseg - INFO - Iter [49250/80000] lr: 5.519e-07, eta: 17:24:34, time: 1.895, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2905, decode.loss_mask: 0.5125, decode.loss_dice: 0.7502, decode.d0.loss_cls: 1.7590, decode.d0.loss_mask: 0.5471, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.3742, decode.d1.loss_mask: 0.5358, decode.d1.loss_dice: 0.8030, decode.d2.loss_cls: 0.3283, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.7801, decode.d3.loss_cls: 0.3122, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7616, decode.d4.loss_cls: 0.3065, decode.d4.loss_mask: 0.5150, decode.d4.loss_dice: 0.7543, decode.d5.loss_cls: 0.3019, decode.d5.loss_mask: 0.5176, decode.d5.loss_dice: 0.7535, decode.d6.loss_cls: 0.2944, decode.d6.loss_mask: 0.5147, decode.d6.loss_dice: 0.7528, decode.d7.loss_cls: 0.2960, decode.d7.loss_mask: 0.5120, decode.d7.loss_dice: 0.7531, decode.d8.loss_cls: 0.2930, decode.d8.loss_mask: 0.5105, decode.d8.loss_dice: 0.7494, loss: 17.4806 2022-09-16 01:09:38,104 - mmseg - INFO - Iter [49300/80000] lr: 5.510e-07, eta: 17:22:46, time: 1.937, data_time: 0.061, memory: 47124, decode.loss_cls: 0.2860, decode.loss_mask: 0.4855, decode.loss_dice: 0.7200, decode.d0.loss_cls: 1.7328, decode.d0.loss_mask: 0.5210, decode.d0.loss_dice: 0.8222, decode.d1.loss_cls: 0.3746, decode.d1.loss_mask: 0.5125, decode.d1.loss_dice: 0.7748, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7417, decode.d3.loss_cls: 0.3195, decode.d3.loss_mask: 0.4911, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.3073, decode.d4.loss_mask: 0.4891, decode.d4.loss_dice: 0.7264, decode.d5.loss_cls: 0.2982, decode.d5.loss_mask: 0.4885, decode.d5.loss_dice: 0.7233, decode.d6.loss_cls: 0.2910, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2917, decode.d7.loss_mask: 0.4869, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2905, decode.d8.loss_mask: 0.4861, decode.d8.loss_dice: 0.7203, loss: 16.8663 2022-09-16 01:11:12,172 - mmseg - INFO - Iter [49350/80000] lr: 5.501e-07, eta: 17:20:55, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2883, decode.loss_mask: 0.5033, decode.loss_dice: 0.7362, decode.d0.loss_cls: 1.7303, decode.d0.loss_mask: 0.5413, decode.d0.loss_dice: 0.8461, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.7839, decode.d2.loss_cls: 0.3335, decode.d2.loss_mask: 0.5168, decode.d2.loss_dice: 0.7616, decode.d3.loss_cls: 0.3185, decode.d3.loss_mask: 0.5119, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.3035, decode.d4.loss_mask: 0.5090, decode.d4.loss_dice: 0.7447, decode.d5.loss_cls: 0.2980, decode.d5.loss_mask: 0.5064, decode.d5.loss_dice: 0.7408, decode.d6.loss_cls: 0.2935, decode.d6.loss_mask: 0.5056, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2888, decode.d7.loss_mask: 0.5028, decode.d7.loss_dice: 0.7352, decode.d8.loss_cls: 0.2936, decode.d8.loss_mask: 0.5031, decode.d8.loss_dice: 0.7332, loss: 17.2101 2022-09-16 01:12:48,595 - mmseg - INFO - Iter [49400/80000] lr: 5.492e-07, eta: 17:19:07, time: 1.928, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2734, decode.loss_mask: 0.4960, decode.loss_dice: 0.7218, decode.d0.loss_cls: 1.7366, decode.d0.loss_mask: 0.5351, decode.d0.loss_dice: 0.8420, decode.d1.loss_cls: 0.3770, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.7705, decode.d2.loss_cls: 0.3195, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7484, decode.d3.loss_cls: 0.3003, decode.d3.loss_mask: 0.5044, decode.d3.loss_dice: 0.7368, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2854, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7317, decode.d6.loss_cls: 0.2835, decode.d6.loss_mask: 0.4965, decode.d6.loss_dice: 0.7276, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7268, decode.d8.loss_cls: 0.2791, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7230, loss: 16.9431 2022-09-16 01:14:22,625 - mmseg - INFO - Iter [49450/80000] lr: 5.483e-07, eta: 17:17:15, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2599, decode.loss_mask: 0.5038, decode.loss_dice: 0.7073, decode.d0.loss_cls: 1.6511, decode.d0.loss_mask: 0.5421, decode.d0.loss_dice: 0.8141, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.5314, decode.d1.loss_dice: 0.7706, decode.d2.loss_cls: 0.2925, decode.d2.loss_mask: 0.5157, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2806, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2727, decode.d4.loss_mask: 0.5051, decode.d4.loss_dice: 0.7187, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7172, decode.d6.loss_cls: 0.2592, decode.d6.loss_mask: 0.5046, decode.d6.loss_dice: 0.7135, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.5039, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2563, decode.d8.loss_mask: 0.5016, decode.d8.loss_dice: 0.7115, loss: 16.5628 2022-09-16 01:15:57,072 - mmseg - INFO - Iter [49500/80000] lr: 5.474e-07, eta: 17:15:25, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2810, decode.loss_mask: 0.4930, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.7328, decode.d0.loss_mask: 0.5270, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3799, decode.d1.loss_mask: 0.5161, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.3324, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.3068, decode.d3.loss_mask: 0.4985, decode.d3.loss_dice: 0.7269, decode.d4.loss_cls: 0.3019, decode.d4.loss_mask: 0.4934, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2883, decode.d5.loss_mask: 0.4980, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.4929, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2854, decode.d7.loss_mask: 0.4907, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2840, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7133, loss: 16.8704 2022-09-16 01:17:32,544 - mmseg - INFO - Iter [49550/80000] lr: 5.465e-07, eta: 17:13:35, time: 1.909, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2792, decode.loss_mask: 0.5123, decode.loss_dice: 0.7445, decode.d0.loss_cls: 1.6950, decode.d0.loss_mask: 0.5495, decode.d0.loss_dice: 0.8566, decode.d1.loss_cls: 0.3649, decode.d1.loss_mask: 0.5371, decode.d1.loss_dice: 0.7930, decode.d2.loss_cls: 0.3180, decode.d2.loss_mask: 0.5204, decode.d2.loss_dice: 0.7658, decode.d3.loss_cls: 0.2999, decode.d3.loss_mask: 0.5157, decode.d3.loss_dice: 0.7496, decode.d4.loss_cls: 0.2901, decode.d4.loss_mask: 0.5139, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2846, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7418, decode.d6.loss_cls: 0.2803, decode.d6.loss_mask: 0.5134, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2745, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7446, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5098, decode.d8.loss_dice: 0.7376, loss: 17.1938 2022-09-16 01:19:07,932 - mmseg - INFO - Iter [49600/80000] lr: 5.456e-07, eta: 17:11:46, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2911, decode.loss_mask: 0.4906, decode.loss_dice: 0.7267, decode.d0.loss_cls: 1.7157, decode.d0.loss_mask: 0.5237, decode.d0.loss_dice: 0.8274, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7850, decode.d2.loss_cls: 0.3287, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7577, decode.d3.loss_cls: 0.3179, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7408, decode.d4.loss_cls: 0.3051, decode.d4.loss_mask: 0.4916, decode.d4.loss_dice: 0.7358, decode.d5.loss_cls: 0.3019, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7307, decode.d6.loss_cls: 0.2921, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7293, decode.d7.loss_cls: 0.2939, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2923, decode.d8.loss_mask: 0.4898, decode.d8.loss_dice: 0.7257, loss: 16.9595 2022-09-16 01:20:42,917 - mmseg - INFO - Iter [49650/80000] lr: 5.447e-07, eta: 17:09:56, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2870, decode.loss_mask: 0.4879, decode.loss_dice: 0.7411, decode.d0.loss_cls: 1.7394, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.8549, decode.d1.loss_cls: 0.3623, decode.d1.loss_mask: 0.5132, decode.d1.loss_dice: 0.7930, decode.d2.loss_cls: 0.3253, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7680, decode.d3.loss_cls: 0.3053, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7514, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.4934, decode.d4.loss_dice: 0.7484, decode.d5.loss_cls: 0.2882, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7491, decode.d6.loss_cls: 0.2905, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7477, decode.d7.loss_cls: 0.2812, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7511, decode.d8.loss_cls: 0.2861, decode.d8.loss_mask: 0.4875, decode.d8.loss_dice: 0.7468, loss: 17.0841 2022-09-16 01:22:16,453 - mmseg - INFO - Iter [49700/80000] lr: 5.438e-07, eta: 17:08:04, time: 1.871, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2636, decode.loss_mask: 0.4858, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.7126, decode.d0.loss_mask: 0.5167, decode.d0.loss_dice: 0.8317, decode.d1.loss_cls: 0.3501, decode.d1.loss_mask: 0.5075, decode.d1.loss_dice: 0.7846, decode.d2.loss_cls: 0.3001, decode.d2.loss_mask: 0.4946, decode.d2.loss_dice: 0.7590, decode.d3.loss_cls: 0.2870, decode.d3.loss_mask: 0.4908, decode.d3.loss_dice: 0.7450, decode.d4.loss_cls: 0.2771, decode.d4.loss_mask: 0.4892, decode.d4.loss_dice: 0.7379, decode.d5.loss_cls: 0.2706, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7336, decode.d6.loss_cls: 0.2613, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7313, decode.d7.loss_cls: 0.2623, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2594, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7318, loss: 16.6918 2022-09-16 01:23:50,130 - mmseg - INFO - Iter [49750/80000] lr: 5.429e-07, eta: 17:06:13, time: 1.874, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2589, decode.loss_mask: 0.4995, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.7037, decode.d0.loss_mask: 0.5340, decode.d0.loss_dice: 0.8367, decode.d1.loss_cls: 0.3436, decode.d1.loss_mask: 0.5296, decode.d1.loss_dice: 0.7876, decode.d2.loss_cls: 0.3008, decode.d2.loss_mask: 0.5135, decode.d2.loss_dice: 0.7624, decode.d3.loss_cls: 0.2836, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7436, decode.d4.loss_cls: 0.2678, decode.d4.loss_mask: 0.5086, decode.d4.loss_dice: 0.7487, decode.d5.loss_cls: 0.2663, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7348, decode.d6.loss_cls: 0.2635, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7294, decode.d7.loss_cls: 0.2602, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7244, decode.d8.loss_cls: 0.2597, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7266, loss: 16.8287 2022-09-16 01:25:24,134 - mmseg - INFO - Iter [49800/80000] lr: 5.420e-07, eta: 17:04:22, time: 1.880, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2629, decode.loss_mask: 0.5014, decode.loss_dice: 0.7169, decode.d0.loss_cls: 1.6637, decode.d0.loss_mask: 0.5359, decode.d0.loss_dice: 0.8182, decode.d1.loss_cls: 0.3448, decode.d1.loss_mask: 0.5253, decode.d1.loss_dice: 0.7657, decode.d2.loss_cls: 0.2931, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2782, decode.d3.loss_mask: 0.5083, decode.d3.loss_dice: 0.7237, decode.d4.loss_cls: 0.2745, decode.d4.loss_mask: 0.5059, decode.d4.loss_dice: 0.7254, decode.d5.loss_cls: 0.2676, decode.d5.loss_mask: 0.5049, decode.d5.loss_dice: 0.7210, decode.d6.loss_cls: 0.2659, decode.d6.loss_mask: 0.4998, decode.d6.loss_dice: 0.7136, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.4988, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2642, decode.d8.loss_mask: 0.4995, decode.d8.loss_dice: 0.7165, loss: 16.6358 2022-09-16 01:26:57,770 - mmseg - INFO - Iter [49850/80000] lr: 5.411e-07, eta: 17:02:31, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2676, decode.loss_mask: 0.4899, decode.loss_dice: 0.7324, decode.d0.loss_cls: 1.7341, decode.d0.loss_mask: 0.5241, decode.d0.loss_dice: 0.8372, decode.d1.loss_cls: 0.3613, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7943, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5036, decode.d2.loss_dice: 0.7656, decode.d3.loss_cls: 0.2865, decode.d3.loss_mask: 0.5009, decode.d3.loss_dice: 0.7459, decode.d4.loss_cls: 0.2796, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7473, decode.d5.loss_cls: 0.2680, decode.d5.loss_mask: 0.4954, decode.d5.loss_dice: 0.7439, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.4894, decode.d6.loss_dice: 0.7355, decode.d7.loss_cls: 0.2697, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7357, decode.d8.loss_cls: 0.2682, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7328, loss: 16.8768 2022-09-16 01:28:33,344 - mmseg - INFO - Iter [49900/80000] lr: 5.402e-07, eta: 17:00:42, time: 1.911, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2581, decode.loss_mask: 0.4908, decode.loss_dice: 0.7189, decode.d0.loss_cls: 1.6851, decode.d0.loss_mask: 0.5221, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3400, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7788, decode.d2.loss_cls: 0.2974, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2856, decode.d3.loss_mask: 0.4976, decode.d3.loss_dice: 0.7376, decode.d4.loss_cls: 0.2698, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7330, decode.d5.loss_cls: 0.2677, decode.d5.loss_mask: 0.4910, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2627, decode.d6.loss_mask: 0.4893, decode.d6.loss_dice: 0.7203, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7262, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.4901, decode.d8.loss_dice: 0.7229, loss: 16.6080 2022-09-16 01:30:07,638 - mmseg - INFO - Iter [49950/80000] lr: 5.393e-07, eta: 16:58:51, time: 1.886, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2648, decode.loss_mask: 0.4957, decode.loss_dice: 0.7242, decode.d0.loss_cls: 1.6834, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3365, decode.d1.loss_mask: 0.5271, decode.d1.loss_dice: 0.7769, decode.d2.loss_cls: 0.2965, decode.d2.loss_mask: 0.5093, decode.d2.loss_dice: 0.7513, decode.d3.loss_cls: 0.2776, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7362, decode.d4.loss_cls: 0.2706, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.7399, decode.d5.loss_cls: 0.2668, decode.d5.loss_mask: 0.5007, decode.d5.loss_dice: 0.7333, decode.d6.loss_cls: 0.2666, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7263, decode.d7.loss_cls: 0.2657, decode.d7.loss_mask: 0.4986, decode.d7.loss_dice: 0.7268, decode.d8.loss_cls: 0.2626, decode.d8.loss_mask: 0.4986, decode.d8.loss_dice: 0.7240, loss: 16.7164 2022-09-16 01:31:42,009 - mmseg - INFO - Saving checkpoint at 50000 iterations 2022-09-16 01:32:12,980 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 01:32:12,988 - mmseg - INFO - Iter [50000/80000] lr: 5.384e-07, eta: 16:57:37, time: 2.504, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2830, decode.loss_mask: 0.4932, decode.loss_dice: 0.7242, decode.d0.loss_cls: 1.7129, decode.d0.loss_mask: 0.5292, decode.d0.loss_dice: 0.8193, decode.d1.loss_cls: 0.3787, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7654, decode.d2.loss_cls: 0.3235, decode.d2.loss_mask: 0.5087, decode.d2.loss_dice: 0.7408, decode.d3.loss_cls: 0.3072, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.3038, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2918, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7284, decode.d6.loss_cls: 0.2888, decode.d6.loss_mask: 0.4963, decode.d6.loss_dice: 0.7268, decode.d7.loss_cls: 0.2818, decode.d7.loss_mask: 0.4944, decode.d7.loss_dice: 0.7228, decode.d8.loss_cls: 0.2784, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7207, loss: 16.8934 2022-09-16 01:33:46,900 - mmseg - INFO - Iter [50050/80000] lr: 5.375e-07, eta: 16:55:46, time: 1.880, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2662, decode.loss_mask: 0.4886, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.7447, decode.d0.loss_mask: 0.5172, decode.d0.loss_dice: 0.8355, decode.d1.loss_cls: 0.3542, decode.d1.loss_mask: 0.5129, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.4980, decode.d2.loss_dice: 0.7585, decode.d3.loss_cls: 0.2891, decode.d3.loss_mask: 0.4945, decode.d3.loss_dice: 0.7443, decode.d4.loss_cls: 0.2841, decode.d4.loss_mask: 0.4917, decode.d4.loss_dice: 0.7436, decode.d5.loss_cls: 0.2758, decode.d5.loss_mask: 0.4904, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2714, decode.d6.loss_mask: 0.4889, decode.d6.loss_dice: 0.7332, decode.d7.loss_cls: 0.2691, decode.d7.loss_mask: 0.4868, decode.d7.loss_dice: 0.7337, decode.d8.loss_cls: 0.2673, decode.d8.loss_mask: 0.4865, decode.d8.loss_dice: 0.7341, loss: 16.8331 2022-09-16 01:35:20,817 - mmseg - INFO - Iter [50100/80000] lr: 5.366e-07, eta: 16:53:56, time: 1.879, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2772, decode.loss_mask: 0.4961, decode.loss_dice: 0.7264, decode.d0.loss_cls: 1.6984, decode.d0.loss_mask: 0.5333, decode.d0.loss_dice: 0.8236, decode.d1.loss_cls: 0.3516, decode.d1.loss_mask: 0.5253, decode.d1.loss_dice: 0.7784, decode.d2.loss_cls: 0.3142, decode.d2.loss_mask: 0.5092, decode.d2.loss_dice: 0.7567, decode.d3.loss_cls: 0.2996, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7373, decode.d4.loss_cls: 0.2866, decode.d4.loss_mask: 0.5022, decode.d4.loss_dice: 0.7348, decode.d5.loss_cls: 0.2844, decode.d5.loss_mask: 0.4990, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2795, decode.d6.loss_mask: 0.4981, decode.d6.loss_dice: 0.7245, decode.d7.loss_cls: 0.2770, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7297, decode.d8.loss_cls: 0.2766, decode.d8.loss_mask: 0.4956, decode.d8.loss_dice: 0.7225, loss: 16.8701 2022-09-16 01:36:55,448 - mmseg - INFO - Iter [50150/80000] lr: 5.357e-07, eta: 16:52:06, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2535, decode.loss_mask: 0.4978, decode.loss_dice: 0.7309, decode.d0.loss_cls: 1.6864, decode.d0.loss_mask: 0.5354, decode.d0.loss_dice: 0.8387, decode.d1.loss_cls: 0.3290, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7863, decode.d2.loss_cls: 0.2905, decode.d2.loss_mask: 0.5058, decode.d2.loss_dice: 0.7585, decode.d3.loss_cls: 0.2754, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.2673, decode.d4.loss_mask: 0.5010, decode.d4.loss_dice: 0.7385, decode.d5.loss_cls: 0.2599, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7337, decode.d6.loss_cls: 0.2594, decode.d6.loss_mask: 0.4993, decode.d6.loss_dice: 0.7284, decode.d7.loss_cls: 0.2574, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7304, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.4978, decode.d8.loss_dice: 0.7307, loss: 16.7178 2022-09-16 01:38:30,347 - mmseg - INFO - Iter [50200/80000] lr: 5.349e-07, eta: 16:50:16, time: 1.898, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2742, decode.loss_mask: 0.5141, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.7123, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8345, decode.d1.loss_cls: 0.3625, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.7897, decode.d2.loss_cls: 0.3150, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2933, decode.d3.loss_mask: 0.5199, decode.d3.loss_dice: 0.7474, decode.d4.loss_cls: 0.2871, decode.d4.loss_mask: 0.5186, decode.d4.loss_dice: 0.7447, decode.d5.loss_cls: 0.2813, decode.d5.loss_mask: 0.5160, decode.d5.loss_dice: 0.7425, decode.d6.loss_cls: 0.2778, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7360, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5154, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2754, decode.d8.loss_mask: 0.5134, decode.d8.loss_dice: 0.7375, loss: 17.1389 2022-09-16 01:40:05,212 - mmseg - INFO - Iter [50250/80000] lr: 5.340e-07, eta: 16:48:27, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2666, decode.loss_mask: 0.4797, decode.loss_dice: 0.7153, decode.d0.loss_cls: 1.7260, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3555, decode.d1.loss_mask: 0.5050, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2854, decode.d3.loss_mask: 0.4866, decode.d3.loss_dice: 0.7255, decode.d4.loss_cls: 0.2817, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.7225, decode.d5.loss_cls: 0.2724, decode.d5.loss_mask: 0.4853, decode.d5.loss_dice: 0.7266, decode.d6.loss_cls: 0.2689, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7183, decode.d7.loss_cls: 0.2626, decode.d7.loss_mask: 0.4830, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2626, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.7200, loss: 16.5740 2022-09-16 01:41:38,944 - mmseg - INFO - Iter [50300/80000] lr: 5.331e-07, eta: 16:46:36, time: 1.875, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2901, decode.loss_mask: 0.5038, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.6855, decode.d0.loss_mask: 0.5446, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3839, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7903, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7628, decode.d3.loss_cls: 0.3175, decode.d3.loss_mask: 0.5141, decode.d3.loss_dice: 0.7428, decode.d4.loss_cls: 0.3107, decode.d4.loss_mask: 0.5074, decode.d4.loss_dice: 0.7436, decode.d5.loss_cls: 0.3035, decode.d5.loss_mask: 0.5076, decode.d5.loss_dice: 0.7370, decode.d6.loss_cls: 0.3001, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7300, decode.d7.loss_cls: 0.2918, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7369, decode.d8.loss_cls: 0.2843, decode.d8.loss_mask: 0.5044, decode.d8.loss_dice: 0.7361, loss: 17.1983 2022-09-16 01:43:13,200 - mmseg - INFO - Iter [50350/80000] lr: 5.322e-07, eta: 16:44:46, time: 1.885, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2936, decode.loss_mask: 0.5026, decode.loss_dice: 0.7635, decode.d0.loss_cls: 1.7067, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8718, decode.d1.loss_cls: 0.3782, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.8213, decode.d2.loss_cls: 0.3301, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7891, decode.d3.loss_cls: 0.3158, decode.d3.loss_mask: 0.5085, decode.d3.loss_dice: 0.7700, decode.d4.loss_cls: 0.3108, decode.d4.loss_mask: 0.5074, decode.d4.loss_dice: 0.7706, decode.d5.loss_cls: 0.3012, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7655, decode.d6.loss_cls: 0.2962, decode.d6.loss_mask: 0.5035, decode.d6.loss_dice: 0.7621, decode.d7.loss_cls: 0.2929, decode.d7.loss_mask: 0.5028, decode.d7.loss_dice: 0.7596, decode.d8.loss_cls: 0.2960, decode.d8.loss_mask: 0.5021, decode.d8.loss_dice: 0.7620, loss: 17.4623 2022-09-16 01:44:46,663 - mmseg - INFO - Iter [50400/80000] lr: 5.313e-07, eta: 16:42:55, time: 1.869, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2657, decode.loss_mask: 0.5029, decode.loss_dice: 0.7245, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.5383, decode.d0.loss_dice: 0.8347, decode.d1.loss_cls: 0.3555, decode.d1.loss_mask: 0.5233, decode.d1.loss_dice: 0.7742, decode.d2.loss_cls: 0.3048, decode.d2.loss_mask: 0.5139, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2860, decode.d3.loss_mask: 0.5109, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.2796, decode.d4.loss_mask: 0.5088, decode.d4.loss_dice: 0.7375, decode.d5.loss_cls: 0.2750, decode.d5.loss_mask: 0.5071, decode.d5.loss_dice: 0.7318, decode.d6.loss_cls: 0.2669, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7267, decode.d7.loss_cls: 0.2656, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7282, decode.d8.loss_cls: 0.2668, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7226, loss: 16.8234 2022-09-16 01:46:22,229 - mmseg - INFO - Iter [50450/80000] lr: 5.304e-07, eta: 16:41:07, time: 1.911, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2687, decode.loss_mask: 0.5033, decode.loss_dice: 0.7210, decode.d0.loss_cls: 1.7288, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8294, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5258, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.3056, decode.d2.loss_mask: 0.5152, decode.d2.loss_dice: 0.7465, decode.d3.loss_cls: 0.2960, decode.d3.loss_mask: 0.5083, decode.d3.loss_dice: 0.7344, decode.d4.loss_cls: 0.2844, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7294, decode.d5.loss_cls: 0.2737, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7285, decode.d6.loss_cls: 0.2722, decode.d6.loss_mask: 0.5038, decode.d6.loss_dice: 0.7250, decode.d7.loss_cls: 0.2701, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7208, decode.d8.loss_cls: 0.2717, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7236, loss: 16.8645 2022-09-16 01:47:58,523 - mmseg - INFO - Iter [50500/80000] lr: 5.295e-07, eta: 16:39:19, time: 1.926, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2944, decode.loss_mask: 0.5052, decode.loss_dice: 0.7529, decode.d0.loss_cls: 1.7599, decode.d0.loss_mask: 0.5372, decode.d0.loss_dice: 0.8575, decode.d1.loss_cls: 0.3800, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.3334, decode.d2.loss_mask: 0.5213, decode.d2.loss_dice: 0.7784, decode.d3.loss_cls: 0.3206, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7651, decode.d4.loss_cls: 0.3067, decode.d4.loss_mask: 0.5093, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.3026, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7620, decode.d6.loss_cls: 0.2983, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7550, decode.d7.loss_cls: 0.2990, decode.d7.loss_mask: 0.5056, decode.d7.loss_dice: 0.7605, decode.d8.loss_cls: 0.2965, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7558, loss: 17.4991 2022-09-16 01:49:35,841 - mmseg - INFO - Iter [50550/80000] lr: 5.286e-07, eta: 16:37:33, time: 1.946, data_time: 0.067, memory: 47124, decode.loss_cls: 0.2776, decode.loss_mask: 0.5018, decode.loss_dice: 0.7354, decode.d0.loss_cls: 1.7011, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3551, decode.d1.loss_mask: 0.5341, decode.d1.loss_dice: 0.7942, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7617, decode.d3.loss_cls: 0.2960, decode.d3.loss_mask: 0.5119, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.2897, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7477, decode.d5.loss_cls: 0.2876, decode.d5.loss_mask: 0.5058, decode.d5.loss_dice: 0.7420, decode.d6.loss_cls: 0.2799, decode.d6.loss_mask: 0.5049, decode.d6.loss_dice: 0.7401, decode.d7.loss_cls: 0.2781, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7345, decode.d8.loss_cls: 0.2768, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7333, loss: 17.0699 2022-09-16 01:51:10,457 - mmseg - INFO - Iter [50600/80000] lr: 5.277e-07, eta: 16:35:43, time: 1.892, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2732, decode.loss_mask: 0.4978, decode.loss_dice: 0.7176, decode.d0.loss_cls: 1.6826, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3488, decode.d1.loss_mask: 0.5230, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5117, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2928, decode.d3.loss_mask: 0.5048, decode.d3.loss_dice: 0.7275, decode.d4.loss_cls: 0.2846, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2852, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2724, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7208, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2745, decode.d8.loss_mask: 0.4990, decode.d8.loss_dice: 0.7177, loss: 16.7551 2022-09-16 01:52:44,796 - mmseg - INFO - Iter [50650/80000] lr: 5.268e-07, eta: 16:33:54, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2517, decode.loss_mask: 0.4792, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.6671, decode.d0.loss_mask: 0.5096, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3458, decode.d1.loss_mask: 0.4993, decode.d1.loss_dice: 0.7422, decode.d2.loss_cls: 0.2933, decode.d2.loss_mask: 0.4910, decode.d2.loss_dice: 0.7156, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.4867, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.2708, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7008, decode.d5.loss_cls: 0.2636, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.6955, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.4826, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.2554, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.4794, decode.d8.loss_dice: 0.6913, loss: 16.1388 2022-09-16 01:54:19,352 - mmseg - INFO - Iter [50700/80000] lr: 5.259e-07, eta: 16:32:04, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2770, decode.loss_mask: 0.5100, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.7189, decode.d0.loss_mask: 0.5477, decode.d0.loss_dice: 0.8578, decode.d1.loss_cls: 0.3688, decode.d1.loss_mask: 0.5437, decode.d1.loss_dice: 0.8100, decode.d2.loss_cls: 0.3164, decode.d2.loss_mask: 0.5276, decode.d2.loss_dice: 0.7827, decode.d3.loss_cls: 0.3049, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7661, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.5162, decode.d4.loss_dice: 0.7620, decode.d5.loss_cls: 0.2841, decode.d5.loss_mask: 0.5153, decode.d5.loss_dice: 0.7595, decode.d6.loss_cls: 0.2855, decode.d6.loss_mask: 0.5116, decode.d6.loss_dice: 0.7560, decode.d7.loss_cls: 0.2790, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7590, decode.d8.loss_cls: 0.2808, decode.d8.loss_mask: 0.5103, decode.d8.loss_dice: 0.7593, loss: 17.3931 2022-09-16 01:55:55,173 - mmseg - INFO - Iter [50750/80000] lr: 5.250e-07, eta: 16:30:17, time: 1.916, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.5010, decode.loss_dice: 0.7143, decode.d0.loss_cls: 1.6667, decode.d0.loss_mask: 0.5316, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3409, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.7619, decode.d2.loss_cls: 0.2945, decode.d2.loss_mask: 0.5102, decode.d2.loss_dice: 0.7394, decode.d3.loss_cls: 0.2797, decode.d3.loss_mask: 0.5073, decode.d3.loss_dice: 0.7266, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7246, decode.d5.loss_cls: 0.2610, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7240, decode.d6.loss_cls: 0.2577, decode.d6.loss_mask: 0.5031, decode.d6.loss_dice: 0.7206, decode.d7.loss_cls: 0.2555, decode.d7.loss_mask: 0.5009, decode.d7.loss_dice: 0.7160, decode.d8.loss_cls: 0.2529, decode.d8.loss_mask: 0.4999, decode.d8.loss_dice: 0.7161, loss: 16.5695 2022-09-16 01:57:29,632 - mmseg - INFO - Iter [50800/80000] lr: 5.241e-07, eta: 16:28:27, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2647, decode.loss_mask: 0.4866, decode.loss_dice: 0.7190, decode.d0.loss_cls: 1.6985, decode.d0.loss_mask: 0.5234, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5116, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.3128, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.2948, decode.d3.loss_mask: 0.4961, decode.d3.loss_dice: 0.7343, decode.d4.loss_cls: 0.2843, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7312, decode.d5.loss_cls: 0.2768, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7287, decode.d6.loss_cls: 0.2726, decode.d6.loss_mask: 0.4893, decode.d6.loss_dice: 0.7245, decode.d7.loss_cls: 0.2663, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7263, decode.d8.loss_cls: 0.2664, decode.d8.loss_mask: 0.4884, decode.d8.loss_dice: 0.7256, loss: 16.7089 2022-09-16 01:59:04,829 - mmseg - INFO - Iter [50850/80000] lr: 5.232e-07, eta: 16:26:39, time: 1.904, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2504, decode.loss_mask: 0.4851, decode.loss_dice: 0.7277, decode.d0.loss_cls: 1.6835, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.8255, decode.d1.loss_cls: 0.3415, decode.d1.loss_mask: 0.5065, decode.d1.loss_dice: 0.7739, decode.d2.loss_cls: 0.2971, decode.d2.loss_mask: 0.4915, decode.d2.loss_dice: 0.7500, decode.d3.loss_cls: 0.2725, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7293, decode.d4.loss_cls: 0.2666, decode.d4.loss_mask: 0.4888, decode.d4.loss_dice: 0.7330, decode.d5.loss_cls: 0.2580, decode.d5.loss_mask: 0.4866, decode.d5.loss_dice: 0.7342, decode.d6.loss_cls: 0.2562, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2509, decode.d7.loss_mask: 0.4853, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2500, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.7262, loss: 16.4949 2022-09-16 02:00:42,174 - mmseg - INFO - Iter [50900/80000] lr: 5.223e-07, eta: 16:24:53, time: 1.947, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2636, decode.loss_mask: 0.4839, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.6809, decode.d0.loss_mask: 0.5167, decode.d0.loss_dice: 0.8052, decode.d1.loss_cls: 0.3441, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.3029, decode.d2.loss_mask: 0.4983, decode.d2.loss_dice: 0.7304, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.4937, decode.d3.loss_dice: 0.7199, decode.d4.loss_cls: 0.2772, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7183, decode.d5.loss_cls: 0.2735, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7168, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.4857, decode.d6.loss_dice: 0.7109, decode.d7.loss_cls: 0.2627, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2643, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7124, loss: 16.4718 2022-09-16 02:02:16,300 - mmseg - INFO - Iter [50950/80000] lr: 5.214e-07, eta: 16:23:03, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2657, decode.loss_mask: 0.5024, decode.loss_dice: 0.7399, decode.d0.loss_cls: 1.7065, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8510, decode.d1.loss_cls: 0.3499, decode.d1.loss_mask: 0.5296, decode.d1.loss_dice: 0.7929, decode.d2.loss_cls: 0.3033, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.2866, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7568, decode.d4.loss_cls: 0.2774, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7553, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5025, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.2706, decode.d6.loss_mask: 0.5019, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.2638, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7484, decode.d8.loss_cls: 0.2595, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7406, loss: 17.0255 2022-09-16 02:03:52,114 - mmseg - INFO - Saving checkpoint at 51000 iterations 2022-09-16 02:04:21,800 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 02:04:21,808 - mmseg - INFO - Iter [51000/80000] lr: 5.205e-07, eta: 16:21:47, time: 2.508, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2665, decode.loss_mask: 0.5120, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.7251, decode.d0.loss_mask: 0.5475, decode.d0.loss_dice: 0.8500, decode.d1.loss_cls: 0.3646, decode.d1.loss_mask: 0.5363, decode.d1.loss_dice: 0.7968, decode.d2.loss_cls: 0.3179, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.7699, decode.d3.loss_cls: 0.2958, decode.d3.loss_mask: 0.5185, decode.d3.loss_dice: 0.7583, decode.d4.loss_cls: 0.2848, decode.d4.loss_mask: 0.5162, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2750, decode.d5.loss_mask: 0.5138, decode.d5.loss_dice: 0.7503, decode.d6.loss_cls: 0.2753, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7465, decode.d7.loss_cls: 0.2726, decode.d7.loss_mask: 0.5108, decode.d7.loss_dice: 0.7461, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.5110, decode.d8.loss_dice: 0.7426, loss: 17.2059 2022-09-16 02:05:56,121 - mmseg - INFO - Iter [51050/80000] lr: 5.196e-07, eta: 16:19:58, time: 1.889, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2774, decode.loss_mask: 0.5083, decode.loss_dice: 0.7165, decode.d0.loss_cls: 1.6829, decode.d0.loss_mask: 0.5389, decode.d0.loss_dice: 0.8191, decode.d1.loss_cls: 0.3571, decode.d1.loss_mask: 0.5330, decode.d1.loss_dice: 0.7697, decode.d2.loss_cls: 0.3122, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7438, decode.d3.loss_cls: 0.2937, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7284, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2841, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7197, decode.d6.loss_cls: 0.2765, decode.d6.loss_mask: 0.5098, decode.d6.loss_dice: 0.7165, decode.d7.loss_cls: 0.2754, decode.d7.loss_mask: 0.5082, decode.d7.loss_dice: 0.7165, decode.d8.loss_cls: 0.2701, decode.d8.loss_mask: 0.5067, decode.d8.loss_dice: 0.7133, loss: 16.8601 2022-09-16 02:07:29,915 - mmseg - INFO - Iter [51100/80000] lr: 5.187e-07, eta: 16:18:08, time: 1.876, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2750, decode.loss_mask: 0.4980, decode.loss_dice: 0.7555, decode.d0.loss_cls: 1.7143, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8651, decode.d1.loss_cls: 0.3639, decode.d1.loss_mask: 0.5262, decode.d1.loss_dice: 0.8087, decode.d2.loss_cls: 0.3141, decode.d2.loss_mask: 0.5084, decode.d2.loss_dice: 0.7838, decode.d3.loss_cls: 0.2991, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7710, decode.d4.loss_cls: 0.2894, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7682, decode.d5.loss_cls: 0.2829, decode.d5.loss_mask: 0.5014, decode.d5.loss_dice: 0.7594, decode.d6.loss_cls: 0.2792, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7609, decode.d7.loss_cls: 0.2769, decode.d7.loss_mask: 0.4988, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2750, decode.d8.loss_mask: 0.4985, decode.d8.loss_dice: 0.7571, loss: 17.2334 2022-09-16 02:09:03,138 - mmseg - INFO - Iter [51150/80000] lr: 5.178e-07, eta: 16:16:18, time: 1.864, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2835, decode.loss_mask: 0.4843, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.7112, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8594, decode.d1.loss_cls: 0.3699, decode.d1.loss_mask: 0.5156, decode.d1.loss_dice: 0.8026, decode.d2.loss_cls: 0.3214, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7693, decode.d3.loss_cls: 0.3024, decode.d3.loss_mask: 0.4917, decode.d3.loss_dice: 0.7566, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2856, decode.d5.loss_mask: 0.4902, decode.d5.loss_dice: 0.7501, decode.d6.loss_cls: 0.2873, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7466, decode.d7.loss_cls: 0.2809, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2819, decode.d8.loss_mask: 0.4861, decode.d8.loss_dice: 0.7466, loss: 17.0409 2022-09-16 02:10:37,633 - mmseg - INFO - Iter [51200/80000] lr: 5.169e-07, eta: 16:14:29, time: 1.890, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2695, decode.loss_mask: 0.5186, decode.loss_dice: 0.7440, decode.d0.loss_cls: 1.7009, decode.d0.loss_mask: 0.5607, decode.d0.loss_dice: 0.8561, decode.d1.loss_cls: 0.3513, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.7909, decode.d2.loss_cls: 0.3096, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.7625, decode.d3.loss_cls: 0.2865, decode.d3.loss_mask: 0.5288, decode.d3.loss_dice: 0.7551, decode.d4.loss_cls: 0.2769, decode.d4.loss_mask: 0.5241, decode.d4.loss_dice: 0.7567, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5208, decode.d5.loss_dice: 0.7451, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.5212, decode.d6.loss_dice: 0.7407, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.5183, decode.d7.loss_dice: 0.7495, decode.d8.loss_cls: 0.2697, decode.d8.loss_mask: 0.5202, decode.d8.loss_dice: 0.7400, loss: 17.1987 2022-09-16 02:12:12,126 - mmseg - INFO - Iter [51250/80000] lr: 5.160e-07, eta: 16:12:40, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2645, decode.loss_mask: 0.4923, decode.loss_dice: 0.7231, decode.d0.loss_cls: 1.7199, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8259, decode.d1.loss_cls: 0.3539, decode.d1.loss_mask: 0.5151, decode.d1.loss_dice: 0.7774, decode.d2.loss_cls: 0.3006, decode.d2.loss_mask: 0.5054, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2787, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7392, decode.d4.loss_cls: 0.2785, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2748, decode.d5.loss_mask: 0.4977, decode.d5.loss_dice: 0.7322, decode.d6.loss_cls: 0.2636, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7256, decode.d7.loss_cls: 0.2692, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7259, decode.d8.loss_cls: 0.2648, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7227, loss: 16.7375 2022-09-16 02:13:46,471 - mmseg - INFO - Iter [51300/80000] lr: 5.151e-07, eta: 16:10:51, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2746, decode.loss_mask: 0.4943, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.7244, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.8537, decode.d1.loss_cls: 0.3586, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.8087, decode.d2.loss_cls: 0.3121, decode.d2.loss_mask: 0.5080, decode.d2.loss_dice: 0.7810, decode.d3.loss_cls: 0.2906, decode.d3.loss_mask: 0.5003, decode.d3.loss_dice: 0.7647, decode.d4.loss_cls: 0.2872, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7567, decode.d5.loss_cls: 0.2825, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7538, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7503, decode.d7.loss_cls: 0.2735, decode.d7.loss_mask: 0.4932, decode.d7.loss_dice: 0.7484, decode.d8.loss_cls: 0.2723, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7518, loss: 17.1015 2022-09-16 02:15:21,301 - mmseg - INFO - Iter [51350/80000] lr: 5.142e-07, eta: 16:09:02, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2542, decode.loss_mask: 0.4913, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.7223, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3503, decode.d1.loss_mask: 0.5165, decode.d1.loss_dice: 0.7647, decode.d2.loss_cls: 0.3024, decode.d2.loss_mask: 0.5020, decode.d2.loss_dice: 0.7381, decode.d3.loss_cls: 0.2804, decode.d3.loss_mask: 0.4953, decode.d3.loss_dice: 0.7202, decode.d4.loss_cls: 0.2750, decode.d4.loss_mask: 0.4923, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2667, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2596, decode.d6.loss_mask: 0.4918, decode.d6.loss_dice: 0.7095, decode.d7.loss_cls: 0.2600, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7091, decode.d8.loss_cls: 0.2586, decode.d8.loss_mask: 0.4930, decode.d8.loss_dice: 0.7069, loss: 16.5163 2022-09-16 02:16:55,761 - mmseg - INFO - Iter [51400/80000] lr: 5.133e-07, eta: 16:07:14, time: 1.891, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2723, decode.loss_mask: 0.4826, decode.loss_dice: 0.7273, decode.d0.loss_cls: 1.7332, decode.d0.loss_mask: 0.5201, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7876, decode.d2.loss_cls: 0.3196, decode.d2.loss_mask: 0.4963, decode.d2.loss_dice: 0.7531, decode.d3.loss_cls: 0.2997, decode.d3.loss_mask: 0.4938, decode.d3.loss_dice: 0.7421, decode.d4.loss_cls: 0.2829, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2792, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2798, decode.d6.loss_mask: 0.4832, decode.d6.loss_dice: 0.7250, decode.d7.loss_cls: 0.2749, decode.d7.loss_mask: 0.4820, decode.d7.loss_dice: 0.7308, decode.d8.loss_cls: 0.2729, decode.d8.loss_mask: 0.4828, decode.d8.loss_dice: 0.7291, loss: 16.8099 2022-09-16 02:18:29,028 - mmseg - INFO - Iter [51450/80000] lr: 5.124e-07, eta: 16:05:24, time: 1.866, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.5035, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.7286, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8274, decode.d1.loss_cls: 0.3375, decode.d1.loss_mask: 0.5339, decode.d1.loss_dice: 0.7896, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.5180, decode.d2.loss_dice: 0.7542, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7449, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.5037, decode.d5.loss_dice: 0.7354, decode.d6.loss_cls: 0.2594, decode.d6.loss_mask: 0.5016, decode.d6.loss_dice: 0.7302, decode.d7.loss_cls: 0.2579, decode.d7.loss_mask: 0.5026, decode.d7.loss_dice: 0.7327, decode.d8.loss_cls: 0.2514, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7347, loss: 16.8481 2022-09-16 02:20:03,184 - mmseg - INFO - Iter [51500/80000] lr: 5.115e-07, eta: 16:03:35, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2734, decode.loss_mask: 0.4914, decode.loss_dice: 0.7360, decode.d0.loss_cls: 1.7449, decode.d0.loss_mask: 0.5286, decode.d0.loss_dice: 0.8470, decode.d1.loss_cls: 0.3650, decode.d1.loss_mask: 0.5147, decode.d1.loss_dice: 0.7899, decode.d2.loss_cls: 0.3154, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7622, decode.d3.loss_cls: 0.2948, decode.d3.loss_mask: 0.4987, decode.d3.loss_dice: 0.7477, decode.d4.loss_cls: 0.2811, decode.d4.loss_mask: 0.4981, decode.d4.loss_dice: 0.7489, decode.d5.loss_cls: 0.2810, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7462, decode.d6.loss_cls: 0.2786, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2791, decode.d7.loss_mask: 0.4916, decode.d7.loss_dice: 0.7421, decode.d8.loss_cls: 0.2709, decode.d8.loss_mask: 0.4898, decode.d8.loss_dice: 0.7384, loss: 16.9884 2022-09-16 02:21:37,629 - mmseg - INFO - Iter [51550/80000] lr: 5.106e-07, eta: 16:01:46, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2487, decode.loss_mask: 0.4930, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.6558, decode.d0.loss_mask: 0.5314, decode.d0.loss_dice: 0.8278, decode.d1.loss_cls: 0.3324, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.2910, decode.d2.loss_mask: 0.5056, decode.d2.loss_dice: 0.7507, decode.d3.loss_cls: 0.2767, decode.d3.loss_mask: 0.5014, decode.d3.loss_dice: 0.7348, decode.d4.loss_cls: 0.2633, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7339, decode.d5.loss_cls: 0.2567, decode.d5.loss_mask: 0.4941, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2527, decode.d6.loss_mask: 0.4945, decode.d6.loss_dice: 0.7237, decode.d7.loss_cls: 0.2443, decode.d7.loss_mask: 0.4942, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2440, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7267, loss: 16.5411 2022-09-16 02:23:11,287 - mmseg - INFO - Iter [51600/80000] lr: 5.097e-07, eta: 15:59:57, time: 1.874, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2890, decode.loss_mask: 0.4936, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.7503, decode.d0.loss_mask: 0.5305, decode.d0.loss_dice: 0.8321, decode.d1.loss_cls: 0.3823, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.3298, decode.d2.loss_mask: 0.5084, decode.d2.loss_dice: 0.7535, decode.d3.loss_cls: 0.3080, decode.d3.loss_mask: 0.5046, decode.d3.loss_dice: 0.7439, decode.d4.loss_cls: 0.2992, decode.d4.loss_mask: 0.4997, decode.d4.loss_dice: 0.7399, decode.d5.loss_cls: 0.2956, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7353, decode.d6.loss_cls: 0.2963, decode.d6.loss_mask: 0.4953, decode.d6.loss_dice: 0.7316, decode.d7.loss_cls: 0.2905, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7326, decode.d8.loss_cls: 0.2881, decode.d8.loss_mask: 0.4967, decode.d8.loss_dice: 0.7344, loss: 17.0870 2022-09-16 02:24:45,475 - mmseg - INFO - Iter [51650/80000] lr: 5.088e-07, eta: 15:58:08, time: 1.884, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2771, decode.loss_mask: 0.5110, decode.loss_dice: 0.7330, decode.d0.loss_cls: 1.6921, decode.d0.loss_mask: 0.5463, decode.d0.loss_dice: 0.8410, decode.d1.loss_cls: 0.3646, decode.d1.loss_mask: 0.5426, decode.d1.loss_dice: 0.7956, decode.d2.loss_cls: 0.3221, decode.d2.loss_mask: 0.5227, decode.d2.loss_dice: 0.7600, decode.d3.loss_cls: 0.3074, decode.d3.loss_mask: 0.5190, decode.d3.loss_dice: 0.7466, decode.d4.loss_cls: 0.2957, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7432, decode.d5.loss_cls: 0.2841, decode.d5.loss_mask: 0.5137, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2807, decode.d6.loss_mask: 0.5139, decode.d6.loss_dice: 0.7373, decode.d7.loss_cls: 0.2780, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7384, decode.d8.loss_cls: 0.2794, decode.d8.loss_mask: 0.5113, decode.d8.loss_dice: 0.7334, loss: 17.1623 2022-09-16 02:26:19,807 - mmseg - INFO - Iter [51700/80000] lr: 5.079e-07, eta: 15:56:19, time: 1.887, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2746, decode.loss_mask: 0.5055, decode.loss_dice: 0.7295, decode.d0.loss_cls: 1.6966, decode.d0.loss_mask: 0.5355, decode.d0.loss_dice: 0.8306, decode.d1.loss_cls: 0.3583, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7829, decode.d2.loss_cls: 0.3043, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7537, decode.d3.loss_cls: 0.2932, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7409, decode.d4.loss_cls: 0.2832, decode.d4.loss_mask: 0.5088, decode.d4.loss_dice: 0.7443, decode.d5.loss_cls: 0.2803, decode.d5.loss_mask: 0.5094, decode.d5.loss_dice: 0.7401, decode.d6.loss_cls: 0.2756, decode.d6.loss_mask: 0.5078, decode.d6.loss_dice: 0.7349, decode.d7.loss_cls: 0.2715, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2757, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7329, loss: 16.9659 2022-09-16 02:27:54,441 - mmseg - INFO - Iter [51750/80000] lr: 5.070e-07, eta: 15:54:31, time: 1.893, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2919, decode.loss_mask: 0.5058, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.7340, decode.d0.loss_mask: 0.5346, decode.d0.loss_dice: 0.8447, decode.d1.loss_cls: 0.3831, decode.d1.loss_mask: 0.5276, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3333, decode.d2.loss_mask: 0.5147, decode.d2.loss_dice: 0.7737, decode.d3.loss_cls: 0.3198, decode.d3.loss_mask: 0.5122, decode.d3.loss_dice: 0.7591, decode.d4.loss_cls: 0.3085, decode.d4.loss_mask: 0.5091, decode.d4.loss_dice: 0.7548, decode.d5.loss_cls: 0.3011, decode.d5.loss_mask: 0.5055, decode.d5.loss_dice: 0.7542, decode.d6.loss_cls: 0.2931, decode.d6.loss_mask: 0.5053, decode.d6.loss_dice: 0.7502, decode.d7.loss_cls: 0.2893, decode.d7.loss_mask: 0.5028, decode.d7.loss_dice: 0.7524, decode.d8.loss_cls: 0.2921, decode.d8.loss_mask: 0.5035, decode.d8.loss_dice: 0.7486, loss: 17.3540 2022-09-16 02:29:28,181 - mmseg - INFO - Iter [51800/80000] lr: 5.061e-07, eta: 15:52:42, time: 1.875, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2603, decode.loss_mask: 0.4975, decode.loss_dice: 0.7356, decode.d0.loss_cls: 1.6682, decode.d0.loss_mask: 0.5325, decode.d0.loss_dice: 0.8359, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.7853, decode.d2.loss_cls: 0.2929, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7629, decode.d3.loss_cls: 0.2756, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7544, decode.d4.loss_cls: 0.2694, decode.d4.loss_mask: 0.5081, decode.d4.loss_dice: 0.7532, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.5028, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.2640, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7438, decode.d7.loss_cls: 0.2616, decode.d7.loss_mask: 0.5005, decode.d7.loss_dice: 0.7418, decode.d8.loss_cls: 0.2567, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7407, loss: 16.8483 2022-09-16 02:31:03,922 - mmseg - INFO - Iter [51850/80000] lr: 5.052e-07, eta: 15:50:55, time: 1.915, data_time: 0.063, memory: 47124, decode.loss_cls: 0.2585, decode.loss_mask: 0.4975, decode.loss_dice: 0.7363, decode.d0.loss_cls: 1.7359, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8526, decode.d1.loss_cls: 0.3508, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.7964, decode.d2.loss_cls: 0.3012, decode.d2.loss_mask: 0.5092, decode.d2.loss_dice: 0.7697, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.5044, decode.d3.loss_dice: 0.7542, decode.d4.loss_cls: 0.2756, decode.d4.loss_mask: 0.5036, decode.d4.loss_dice: 0.7521, decode.d5.loss_cls: 0.2647, decode.d5.loss_mask: 0.5028, decode.d5.loss_dice: 0.7499, decode.d6.loss_cls: 0.2608, decode.d6.loss_mask: 0.4998, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2562, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7428, decode.d8.loss_cls: 0.2609, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7394, loss: 16.9618 2022-09-16 02:32:38,229 - mmseg - INFO - Iter [51900/80000] lr: 5.043e-07, eta: 15:49:07, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2652, decode.loss_mask: 0.5115, decode.loss_dice: 0.7357, decode.d0.loss_cls: 1.7138, decode.d0.loss_mask: 0.5494, decode.d0.loss_dice: 0.8505, decode.d1.loss_cls: 0.3630, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.7984, decode.d2.loss_cls: 0.3152, decode.d2.loss_mask: 0.5197, decode.d2.loss_dice: 0.7631, decode.d3.loss_cls: 0.2991, decode.d3.loss_mask: 0.5123, decode.d3.loss_dice: 0.7452, decode.d4.loss_cls: 0.2851, decode.d4.loss_mask: 0.5119, decode.d4.loss_dice: 0.7470, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5112, decode.d5.loss_dice: 0.7428, decode.d6.loss_cls: 0.2711, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7328, decode.d7.loss_cls: 0.2684, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7346, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7364, loss: 17.0939 2022-09-16 02:34:11,492 - mmseg - INFO - Iter [51950/80000] lr: 5.034e-07, eta: 15:47:17, time: 1.865, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2776, decode.loss_mask: 0.4951, decode.loss_dice: 0.7491, decode.d0.loss_cls: 1.7231, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8498, decode.d1.loss_cls: 0.3682, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.8058, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5064, decode.d2.loss_dice: 0.7688, decode.d3.loss_cls: 0.3002, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7621, decode.d4.loss_cls: 0.2954, decode.d4.loss_mask: 0.4979, decode.d4.loss_dice: 0.7540, decode.d5.loss_cls: 0.2885, decode.d5.loss_mask: 0.4977, decode.d5.loss_dice: 0.7564, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7524, decode.d7.loss_cls: 0.2814, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7488, decode.d8.loss_cls: 0.2794, decode.d8.loss_mask: 0.4943, decode.d8.loss_dice: 0.7526, loss: 17.1520 2022-09-16 02:35:43,872 - mmseg - INFO - Saving checkpoint at 52000 iterations 2022-09-16 02:36:15,441 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 02:36:15,449 - mmseg - INFO - Iter [52000/80000] lr: 5.025e-07, eta: 15:45:58, time: 2.478, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2693, decode.loss_mask: 0.4758, decode.loss_dice: 0.7163, decode.d0.loss_cls: 1.7072, decode.d0.loss_mask: 0.5057, decode.d0.loss_dice: 0.8156, decode.d1.loss_cls: 0.3558, decode.d1.loss_mask: 0.5010, decode.d1.loss_dice: 0.7676, decode.d2.loss_cls: 0.3115, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2995, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7245, decode.d4.loss_cls: 0.2891, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.7278, decode.d5.loss_cls: 0.2807, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7210, decode.d6.loss_cls: 0.2743, decode.d6.loss_mask: 0.4757, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.4756, decode.d7.loss_dice: 0.7207, decode.d8.loss_cls: 0.2667, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7176, loss: 16.5203 2022-09-16 02:37:50,398 - mmseg - INFO - Iter [52050/80000] lr: 5.016e-07, eta: 15:44:11, time: 1.901, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2787, decode.loss_mask: 0.4961, decode.loss_dice: 0.7448, decode.d0.loss_cls: 1.6927, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8565, decode.d1.loss_cls: 0.3672, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3244, decode.d2.loss_mask: 0.5108, decode.d2.loss_dice: 0.7730, decode.d3.loss_cls: 0.2973, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.7565, decode.d4.loss_cls: 0.2929, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2885, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7499, decode.d6.loss_cls: 0.2883, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7463, decode.d7.loss_cls: 0.2842, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7439, decode.d8.loss_cls: 0.2873, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7447, loss: 17.1294 2022-09-16 02:39:24,261 - mmseg - INFO - Iter [52100/80000] lr: 5.008e-07, eta: 15:42:22, time: 1.877, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2550, decode.loss_mask: 0.5016, decode.loss_dice: 0.7188, decode.d0.loss_cls: 1.6724, decode.d0.loss_mask: 0.5313, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.7652, decode.d2.loss_cls: 0.2884, decode.d2.loss_mask: 0.5149, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2666, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2542, decode.d4.loss_mask: 0.5064, decode.d4.loss_dice: 0.7256, decode.d5.loss_cls: 0.2569, decode.d5.loss_mask: 0.5057, decode.d5.loss_dice: 0.7226, decode.d6.loss_cls: 0.2583, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.5029, decode.d7.loss_dice: 0.7176, decode.d8.loss_cls: 0.2520, decode.d8.loss_mask: 0.5017, decode.d8.loss_dice: 0.7211, loss: 16.5494 2022-09-16 02:40:57,538 - mmseg - INFO - Iter [52150/80000] lr: 4.999e-07, eta: 15:40:33, time: 1.866, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2519, decode.loss_mask: 0.5142, decode.loss_dice: 0.7270, decode.d0.loss_cls: 1.6628, decode.d0.loss_mask: 0.5530, decode.d0.loss_dice: 0.8343, decode.d1.loss_cls: 0.3361, decode.d1.loss_mask: 0.5476, decode.d1.loss_dice: 0.7820, decode.d2.loss_cls: 0.2886, decode.d2.loss_mask: 0.5342, decode.d2.loss_dice: 0.7516, decode.d3.loss_cls: 0.2669, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7325, decode.d4.loss_cls: 0.2604, decode.d4.loss_mask: 0.5239, decode.d4.loss_dice: 0.7353, decode.d5.loss_cls: 0.2581, decode.d5.loss_mask: 0.5197, decode.d5.loss_dice: 0.7346, decode.d6.loss_cls: 0.2552, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7298, decode.d7.loss_cls: 0.2506, decode.d7.loss_mask: 0.5173, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2509, decode.d8.loss_mask: 0.5170, decode.d8.loss_dice: 0.7301, loss: 16.8394 2022-09-16 02:42:32,161 - mmseg - INFO - Iter [52200/80000] lr: 4.990e-07, eta: 15:38:45, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2733, decode.loss_mask: 0.4817, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.6954, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.8209, decode.d1.loss_cls: 0.3619, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7703, decode.d2.loss_cls: 0.3057, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2958, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7289, decode.d4.loss_cls: 0.2846, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7270, decode.d5.loss_cls: 0.2785, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7236, decode.d6.loss_cls: 0.2777, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2759, decode.d7.loss_mask: 0.4828, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2736, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.7152, loss: 16.5890 2022-09-16 02:44:06,068 - mmseg - INFO - Iter [52250/80000] lr: 4.981e-07, eta: 15:36:56, time: 1.878, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2693, decode.loss_mask: 0.4909, decode.loss_dice: 0.7171, decode.d0.loss_cls: 1.7162, decode.d0.loss_mask: 0.5369, decode.d0.loss_dice: 0.8358, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5138, decode.d1.loss_dice: 0.7830, decode.d2.loss_cls: 0.3133, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.4955, decode.d3.loss_dice: 0.7332, decode.d4.loss_cls: 0.2869, decode.d4.loss_mask: 0.4927, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2816, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7287, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2664, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7270, decode.d8.loss_cls: 0.2668, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7242, loss: 16.7812 2022-09-16 02:45:40,774 - mmseg - INFO - Iter [52300/80000] lr: 4.972e-07, eta: 15:35:08, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2640, decode.loss_mask: 0.4967, decode.loss_dice: 0.7344, decode.d0.loss_cls: 1.6768, decode.d0.loss_mask: 0.5363, decode.d0.loss_dice: 0.8349, decode.d1.loss_cls: 0.3447, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.7879, decode.d2.loss_cls: 0.3000, decode.d2.loss_mask: 0.5068, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2885, decode.d3.loss_mask: 0.5001, decode.d3.loss_dice: 0.7424, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2723, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7384, decode.d6.loss_cls: 0.2715, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7333, decode.d7.loss_cls: 0.2656, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2621, decode.d8.loss_mask: 0.4947, decode.d8.loss_dice: 0.7353, loss: 16.8249 2022-09-16 02:47:14,224 - mmseg - INFO - Iter [52350/80000] lr: 4.963e-07, eta: 15:33:20, time: 1.869, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2539, decode.loss_mask: 0.4810, decode.loss_dice: 0.7117, decode.d0.loss_cls: 1.7162, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8054, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.4999, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2859, decode.d2.loss_mask: 0.4875, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2708, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7196, decode.d4.loss_cls: 0.2630, decode.d4.loss_mask: 0.4880, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2599, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2569, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2526, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7098, decode.d8.loss_cls: 0.2563, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7104, loss: 16.3458 2022-09-16 02:48:48,781 - mmseg - INFO - Iter [52400/80000] lr: 4.954e-07, eta: 15:31:32, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2698, decode.loss_mask: 0.5051, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.7031, decode.d0.loss_mask: 0.5389, decode.d0.loss_dice: 0.8399, decode.d1.loss_cls: 0.3618, decode.d1.loss_mask: 0.5287, decode.d1.loss_dice: 0.7849, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7528, decode.d3.loss_cls: 0.2965, decode.d3.loss_mask: 0.5107, decode.d3.loss_dice: 0.7417, decode.d4.loss_cls: 0.2825, decode.d4.loss_mask: 0.5083, decode.d4.loss_dice: 0.7408, decode.d5.loss_cls: 0.2800, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7374, decode.d6.loss_cls: 0.2720, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7332, decode.d7.loss_cls: 0.2687, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7348, decode.d8.loss_cls: 0.2696, decode.d8.loss_mask: 0.5056, decode.d8.loss_dice: 0.7344, loss: 16.9807 2022-09-16 02:50:23,547 - mmseg - INFO - Iter [52450/80000] lr: 4.945e-07, eta: 15:29:44, time: 1.897, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2847, decode.loss_mask: 0.4977, decode.loss_dice: 0.7515, decode.d0.loss_cls: 1.7591, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3825, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.8068, decode.d2.loss_cls: 0.3343, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7744, decode.d3.loss_cls: 0.3118, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7637, decode.d4.loss_cls: 0.3035, decode.d4.loss_mask: 0.5038, decode.d4.loss_dice: 0.7626, decode.d5.loss_cls: 0.2987, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7579, decode.d6.loss_cls: 0.2969, decode.d6.loss_mask: 0.4976, decode.d6.loss_dice: 0.7518, decode.d7.loss_cls: 0.2888, decode.d7.loss_mask: 0.4981, decode.d7.loss_dice: 0.7531, decode.d8.loss_cls: 0.2853, decode.d8.loss_mask: 0.4990, decode.d8.loss_dice: 0.7535, loss: 17.3418 2022-09-16 02:51:58,434 - mmseg - INFO - Iter [52500/80000] lr: 4.936e-07, eta: 15:27:57, time: 1.898, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2430, decode.loss_mask: 0.5006, decode.loss_dice: 0.7189, decode.d0.loss_cls: 1.6771, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.8046, decode.d1.loss_cls: 0.3245, decode.d1.loss_mask: 0.5213, decode.d1.loss_dice: 0.7609, decode.d2.loss_cls: 0.2854, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7384, decode.d3.loss_cls: 0.2658, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7267, decode.d4.loss_cls: 0.2619, decode.d4.loss_mask: 0.5003, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2532, decode.d5.loss_mask: 0.5018, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2485, decode.d6.loss_mask: 0.4995, decode.d6.loss_dice: 0.7157, decode.d7.loss_cls: 0.2479, decode.d7.loss_mask: 0.4995, decode.d7.loss_dice: 0.7192, decode.d8.loss_cls: 0.2476, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7191, loss: 16.4675 2022-09-16 02:53:34,087 - mmseg - INFO - Iter [52550/80000] lr: 4.927e-07, eta: 15:26:10, time: 1.913, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2692, decode.loss_mask: 0.4986, decode.loss_dice: 0.7182, decode.d0.loss_cls: 1.7162, decode.d0.loss_mask: 0.5378, decode.d0.loss_dice: 0.8322, decode.d1.loss_cls: 0.3642, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.7779, decode.d2.loss_cls: 0.3141, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2973, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2921, decode.d4.loss_mask: 0.5029, decode.d4.loss_dice: 0.7358, decode.d5.loss_cls: 0.2826, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7316, decode.d6.loss_cls: 0.2758, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7208, decode.d7.loss_cls: 0.2756, decode.d7.loss_mask: 0.4980, decode.d7.loss_dice: 0.7227, decode.d8.loss_cls: 0.2725, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.7242, loss: 16.8866 2022-09-16 02:55:09,467 - mmseg - INFO - Iter [52600/80000] lr: 4.918e-07, eta: 15:24:23, time: 1.905, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2738, decode.loss_mask: 0.4837, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.6581, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.8455, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5160, decode.d1.loss_dice: 0.7916, decode.d2.loss_cls: 0.3105, decode.d2.loss_mask: 0.5013, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.2911, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7468, decode.d4.loss_cls: 0.2836, decode.d4.loss_mask: 0.4914, decode.d4.loss_dice: 0.7457, decode.d5.loss_cls: 0.2790, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7426, decode.d6.loss_cls: 0.2760, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7362, decode.d7.loss_cls: 0.2762, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2703, decode.d8.loss_mask: 0.4839, decode.d8.loss_dice: 0.7354, loss: 16.7940 2022-09-16 02:56:44,786 - mmseg - INFO - Iter [52650/80000] lr: 4.909e-07, eta: 15:22:37, time: 1.909, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2758, decode.loss_mask: 0.4882, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.6682, decode.d0.loss_mask: 0.5244, decode.d0.loss_dice: 0.8400, decode.d1.loss_cls: 0.3568, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7888, decode.d2.loss_cls: 0.3063, decode.d2.loss_mask: 0.5034, decode.d2.loss_dice: 0.7613, decode.d3.loss_cls: 0.2962, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7410, decode.d4.loss_cls: 0.2889, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7412, decode.d5.loss_cls: 0.2801, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2793, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7317, decode.d7.loss_cls: 0.2730, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7327, decode.d8.loss_cls: 0.2767, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7288, loss: 16.8234 2022-09-16 02:58:19,743 - mmseg - INFO - Iter [52700/80000] lr: 4.900e-07, eta: 15:20:49, time: 1.899, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2627, decode.loss_mask: 0.4954, decode.loss_dice: 0.7298, decode.d0.loss_cls: 1.6766, decode.d0.loss_mask: 0.5338, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3495, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7862, decode.d2.loss_cls: 0.3017, decode.d2.loss_mask: 0.5053, decode.d2.loss_dice: 0.7605, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7471, decode.d4.loss_cls: 0.2783, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2734, decode.d5.loss_mask: 0.4979, decode.d5.loss_dice: 0.7368, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2666, decode.d7.loss_mask: 0.4974, decode.d7.loss_dice: 0.7376, decode.d8.loss_cls: 0.2635, decode.d8.loss_mask: 0.4953, decode.d8.loss_dice: 0.7360, loss: 16.8186 2022-09-16 02:59:54,815 - mmseg - INFO - Iter [52750/80000] lr: 4.891e-07, eta: 15:19:02, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2595, decode.loss_mask: 0.4889, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.6684, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3332, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7560, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.4972, decode.d3.loss_dice: 0.7392, decode.d4.loss_cls: 0.2755, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2651, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7299, decode.d6.loss_cls: 0.2654, decode.d6.loss_mask: 0.4891, decode.d6.loss_dice: 0.7247, decode.d7.loss_cls: 0.2662, decode.d7.loss_mask: 0.4923, decode.d7.loss_dice: 0.7200, decode.d8.loss_cls: 0.2642, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7227, loss: 16.6247 2022-09-16 03:01:28,577 - mmseg - INFO - Iter [52800/80000] lr: 4.882e-07, eta: 15:17:14, time: 1.875, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2590, decode.loss_mask: 0.4897, decode.loss_dice: 0.7037, decode.d0.loss_cls: 1.6517, decode.d0.loss_mask: 0.5251, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3360, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2915, decode.d2.loss_mask: 0.5042, decode.d2.loss_dice: 0.7315, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.4985, decode.d3.loss_dice: 0.7173, decode.d4.loss_cls: 0.2631, decode.d4.loss_mask: 0.4976, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2604, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7115, decode.d6.loss_cls: 0.2547, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2529, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7083, decode.d8.loss_cls: 0.2529, decode.d8.loss_mask: 0.4924, decode.d8.loss_dice: 0.7100, loss: 16.3806 2022-09-16 03:03:02,295 - mmseg - INFO - Iter [52850/80000] lr: 4.873e-07, eta: 15:15:26, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2498, decode.loss_mask: 0.5079, decode.loss_dice: 0.7324, decode.d0.loss_cls: 1.6514, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8304, decode.d1.loss_cls: 0.3288, decode.d1.loss_mask: 0.5280, decode.d1.loss_dice: 0.7907, decode.d2.loss_cls: 0.2917, decode.d2.loss_mask: 0.5149, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.5117, decode.d3.loss_dice: 0.7466, decode.d4.loss_cls: 0.2662, decode.d4.loss_mask: 0.5059, decode.d4.loss_dice: 0.7419, decode.d5.loss_cls: 0.2559, decode.d5.loss_mask: 0.5077, decode.d5.loss_dice: 0.7447, decode.d6.loss_cls: 0.2557, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2525, decode.d7.loss_mask: 0.5060, decode.d7.loss_dice: 0.7334, decode.d8.loss_cls: 0.2518, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7364, loss: 16.7619 2022-09-16 03:04:36,096 - mmseg - INFO - Iter [52900/80000] lr: 4.864e-07, eta: 15:13:38, time: 1.876, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2886, decode.loss_mask: 0.5041, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.7092, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8241, decode.d1.loss_cls: 0.3620, decode.d1.loss_mask: 0.5315, decode.d1.loss_dice: 0.7723, decode.d2.loss_cls: 0.3218, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.3024, decode.d3.loss_mask: 0.5169, decode.d3.loss_dice: 0.7371, decode.d4.loss_cls: 0.2955, decode.d4.loss_mask: 0.5117, decode.d4.loss_dice: 0.7311, decode.d5.loss_cls: 0.2892, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2877, decode.d6.loss_mask: 0.5062, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2863, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7229, decode.d8.loss_cls: 0.2838, decode.d8.loss_mask: 0.5064, decode.d8.loss_dice: 0.7287, loss: 17.0193 2022-09-16 03:06:10,163 - mmseg - INFO - Iter [52950/80000] lr: 4.855e-07, eta: 15:11:50, time: 1.881, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2557, decode.loss_mask: 0.4828, decode.loss_dice: 0.7273, decode.d0.loss_cls: 1.6802, decode.d0.loss_mask: 0.5267, decode.d0.loss_dice: 0.8297, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.5078, decode.d1.loss_dice: 0.7831, decode.d2.loss_cls: 0.2990, decode.d2.loss_mask: 0.4924, decode.d2.loss_dice: 0.7551, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7457, decode.d4.loss_cls: 0.2655, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.7414, decode.d5.loss_cls: 0.2633, decode.d5.loss_mask: 0.4844, decode.d5.loss_dice: 0.7384, decode.d6.loss_cls: 0.2618, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7319, decode.d7.loss_cls: 0.2608, decode.d7.loss_mask: 0.4841, decode.d7.loss_dice: 0.7289, decode.d8.loss_cls: 0.2578, decode.d8.loss_mask: 0.4832, decode.d8.loss_dice: 0.7264, loss: 16.5873 2022-09-16 03:07:43,485 - mmseg - INFO - Saving checkpoint at 53000 iterations 2022-09-16 03:08:13,830 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 03:08:13,839 - mmseg - INFO - Iter [53000/80000] lr: 4.846e-07, eta: 15:10:30, time: 2.472, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2682, decode.loss_mask: 0.4999, decode.loss_dice: 0.7126, decode.d0.loss_cls: 1.6763, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8146, decode.d1.loss_cls: 0.3458, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.7744, decode.d2.loss_cls: 0.3043, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2927, decode.d3.loss_mask: 0.5078, decode.d3.loss_dice: 0.7290, decode.d4.loss_cls: 0.2865, decode.d4.loss_mask: 0.5043, decode.d4.loss_dice: 0.7191, decode.d5.loss_cls: 0.2771, decode.d5.loss_mask: 0.5038, decode.d5.loss_dice: 0.7157, decode.d6.loss_cls: 0.2714, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7172, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.5004, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2660, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7113, loss: 16.7099 2022-09-16 03:09:49,555 - mmseg - INFO - Iter [53050/80000] lr: 4.837e-07, eta: 15:08:44, time: 1.917, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2941, decode.loss_mask: 0.5048, decode.loss_dice: 0.7391, decode.d0.loss_cls: 1.7099, decode.d0.loss_mask: 0.5490, decode.d0.loss_dice: 0.8662, decode.d1.loss_cls: 0.3818, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3332, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.7733, decode.d3.loss_cls: 0.3130, decode.d3.loss_mask: 0.5111, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.3056, decode.d4.loss_mask: 0.5090, decode.d4.loss_dice: 0.7492, decode.d5.loss_cls: 0.2962, decode.d5.loss_mask: 0.5097, decode.d5.loss_dice: 0.7539, decode.d6.loss_cls: 0.2958, decode.d6.loss_mask: 0.5061, decode.d6.loss_dice: 0.7466, decode.d7.loss_cls: 0.2917, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7443, loss: 17.3428 2022-09-16 03:11:27,161 - mmseg - INFO - Iter [53100/80000] lr: 4.828e-07, eta: 15:06:59, time: 1.952, data_time: 0.065, memory: 47124, decode.loss_cls: 0.2720, decode.loss_mask: 0.4966, decode.loss_dice: 0.7301, decode.d0.loss_cls: 1.7173, decode.d0.loss_mask: 0.5348, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3578, decode.d1.loss_mask: 0.5246, decode.d1.loss_dice: 0.7840, decode.d2.loss_cls: 0.3089, decode.d2.loss_mask: 0.5079, decode.d2.loss_dice: 0.7593, decode.d3.loss_cls: 0.2918, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7467, decode.d4.loss_cls: 0.2859, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7406, decode.d5.loss_cls: 0.2780, decode.d5.loss_mask: 0.4969, decode.d5.loss_dice: 0.7330, decode.d6.loss_cls: 0.2755, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7323, decode.d7.loss_cls: 0.2741, decode.d7.loss_mask: 0.4965, decode.d7.loss_dice: 0.7255, decode.d8.loss_cls: 0.2726, decode.d8.loss_mask: 0.4968, decode.d8.loss_dice: 0.7292, loss: 16.9002 2022-09-16 03:13:00,590 - mmseg - INFO - Iter [53150/80000] lr: 4.819e-07, eta: 15:05:11, time: 1.868, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2614, decode.loss_mask: 0.4995, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.6545, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.3360, decode.d1.loss_mask: 0.5219, decode.d1.loss_dice: 0.7636, decode.d2.loss_cls: 0.3007, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7327, decode.d3.loss_cls: 0.2867, decode.d3.loss_mask: 0.5043, decode.d3.loss_dice: 0.7310, decode.d4.loss_cls: 0.2825, decode.d4.loss_mask: 0.5011, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2751, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7152, decode.d6.loss_cls: 0.2675, decode.d6.loss_mask: 0.4993, decode.d6.loss_dice: 0.7129, decode.d7.loss_cls: 0.2614, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7108, decode.d8.loss_cls: 0.2617, decode.d8.loss_mask: 0.4972, decode.d8.loss_dice: 0.7125, loss: 16.5652 2022-09-16 03:14:35,066 - mmseg - INFO - Iter [53200/80000] lr: 4.810e-07, eta: 15:03:24, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2579, decode.loss_mask: 0.4740, decode.loss_dice: 0.7176, decode.d0.loss_cls: 1.6784, decode.d0.loss_mask: 0.5048, decode.d0.loss_dice: 0.8174, decode.d1.loss_cls: 0.3535, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7711, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7439, decode.d3.loss_cls: 0.2797, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7355, decode.d4.loss_cls: 0.2743, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7253, decode.d5.loss_cls: 0.2667, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2630, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7205, decode.d7.loss_cls: 0.2629, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2590, decode.d8.loss_mask: 0.4733, decode.d8.loss_dice: 0.7235, loss: 16.4158 2022-09-16 03:16:08,895 - mmseg - INFO - Iter [53250/80000] lr: 4.801e-07, eta: 15:01:36, time: 1.877, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2605, decode.loss_mask: 0.5006, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.6769, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8286, decode.d1.loss_cls: 0.3553, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.7789, decode.d2.loss_cls: 0.3110, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7502, decode.d3.loss_cls: 0.2905, decode.d3.loss_mask: 0.5088, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2807, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7387, decode.d5.loss_cls: 0.2714, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7387, decode.d6.loss_cls: 0.2689, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7275, decode.d7.loss_cls: 0.2652, decode.d7.loss_mask: 0.5013, decode.d7.loss_dice: 0.7283, decode.d8.loss_cls: 0.2641, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7318, loss: 16.8447 2022-09-16 03:17:44,445 - mmseg - INFO - Iter [53300/80000] lr: 4.792e-07, eta: 14:59:50, time: 1.911, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2574, decode.loss_mask: 0.4918, decode.loss_dice: 0.7219, decode.d0.loss_cls: 1.6838, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8283, decode.d1.loss_cls: 0.3462, decode.d1.loss_mask: 0.5190, decode.d1.loss_dice: 0.7792, decode.d2.loss_cls: 0.3013, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7503, decode.d3.loss_cls: 0.2790, decode.d3.loss_mask: 0.4975, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2723, decode.d4.loss_mask: 0.4967, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2650, decode.d5.loss_mask: 0.4934, decode.d5.loss_dice: 0.7308, decode.d6.loss_cls: 0.2581, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7249, decode.d7.loss_cls: 0.2553, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7277, decode.d8.loss_cls: 0.2525, decode.d8.loss_mask: 0.4945, decode.d8.loss_dice: 0.7273, loss: 16.6376 2022-09-16 03:19:19,668 - mmseg - INFO - Iter [53350/80000] lr: 4.783e-07, eta: 14:58:04, time: 1.905, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2616, decode.loss_mask: 0.5042, decode.loss_dice: 0.7394, decode.d0.loss_cls: 1.6839, decode.d0.loss_mask: 0.5437, decode.d0.loss_dice: 0.8399, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.5289, decode.d1.loss_dice: 0.7928, decode.d2.loss_cls: 0.3009, decode.d2.loss_mask: 0.5158, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2858, decode.d3.loss_mask: 0.5105, decode.d3.loss_dice: 0.7508, decode.d4.loss_cls: 0.2782, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7466, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5050, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.2661, decode.d6.loss_mask: 0.5034, decode.d6.loss_dice: 0.7392, decode.d7.loss_cls: 0.2675, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7427, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.5034, decode.d8.loss_dice: 0.7448, loss: 16.9614 2022-09-16 03:20:52,982 - mmseg - INFO - Iter [53400/80000] lr: 4.774e-07, eta: 14:56:15, time: 1.866, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2388, decode.loss_mask: 0.4860, decode.loss_dice: 0.7161, decode.d0.loss_cls: 1.6288, decode.d0.loss_mask: 0.5232, decode.d0.loss_dice: 0.8144, decode.d1.loss_cls: 0.3275, decode.d1.loss_mask: 0.5115, decode.d1.loss_dice: 0.7673, decode.d2.loss_cls: 0.2803, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7416, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2508, decode.d4.loss_mask: 0.4936, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2444, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7225, decode.d6.loss_cls: 0.2420, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7137, decode.d7.loss_cls: 0.2361, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7179, decode.d8.loss_cls: 0.2339, decode.d8.loss_mask: 0.4844, decode.d8.loss_dice: 0.7147, loss: 16.2672 2022-09-16 03:22:27,040 - mmseg - INFO - Iter [53450/80000] lr: 4.765e-07, eta: 14:54:28, time: 1.881, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2637, decode.loss_mask: 0.5046, decode.loss_dice: 0.7134, decode.d0.loss_cls: 1.6772, decode.d0.loss_mask: 0.5373, decode.d0.loss_dice: 0.8186, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7736, decode.d2.loss_cls: 0.2987, decode.d2.loss_mask: 0.5167, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2871, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7303, decode.d4.loss_cls: 0.2793, decode.d4.loss_mask: 0.5100, decode.d4.loss_dice: 0.7262, decode.d5.loss_cls: 0.2683, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7251, decode.d6.loss_cls: 0.2680, decode.d6.loss_mask: 0.5059, decode.d6.loss_dice: 0.7149, decode.d7.loss_cls: 0.2639, decode.d7.loss_mask: 0.5041, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7140, loss: 16.7335 2022-09-16 03:24:01,008 - mmseg - INFO - Iter [53500/80000] lr: 4.756e-07, eta: 14:52:41, time: 1.879, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2465, decode.loss_mask: 0.4815, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.6676, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.8145, decode.d1.loss_cls: 0.3334, decode.d1.loss_mask: 0.5023, decode.d1.loss_dice: 0.7646, decode.d2.loss_cls: 0.2889, decode.d2.loss_mask: 0.4898, decode.d2.loss_dice: 0.7350, decode.d3.loss_cls: 0.2705, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7267, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.4816, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2537, decode.d5.loss_mask: 0.4846, decode.d5.loss_dice: 0.7208, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7145, decode.d7.loss_cls: 0.2510, decode.d7.loss_mask: 0.4810, decode.d7.loss_dice: 0.7150, decode.d8.loss_cls: 0.2497, decode.d8.loss_mask: 0.4825, decode.d8.loss_dice: 0.7131, loss: 16.2896 2022-09-16 03:25:33,985 - mmseg - INFO - Iter [53550/80000] lr: 4.747e-07, eta: 14:50:52, time: 1.858, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2601, decode.loss_mask: 0.4801, decode.loss_dice: 0.7322, decode.d0.loss_cls: 1.6986, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.8378, decode.d1.loss_cls: 0.3566, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7943, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2910, decode.d3.loss_mask: 0.4850, decode.d3.loss_dice: 0.7464, decode.d4.loss_cls: 0.2839, decode.d4.loss_mask: 0.4823, decode.d4.loss_dice: 0.7451, decode.d5.loss_cls: 0.2730, decode.d5.loss_mask: 0.4801, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2676, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7354, decode.d7.loss_cls: 0.2576, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7348, decode.d8.loss_cls: 0.2608, decode.d8.loss_mask: 0.4797, decode.d8.loss_dice: 0.7340, loss: 16.6989 2022-09-16 03:27:08,262 - mmseg - INFO - Iter [53600/80000] lr: 4.738e-07, eta: 14:49:05, time: 1.888, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2801, decode.loss_mask: 0.4983, decode.loss_dice: 0.7263, decode.d0.loss_cls: 1.7080, decode.d0.loss_mask: 0.5343, decode.d0.loss_dice: 0.8198, decode.d1.loss_cls: 0.3626, decode.d1.loss_mask: 0.5199, decode.d1.loss_dice: 0.7710, decode.d2.loss_cls: 0.3156, decode.d2.loss_mask: 0.5065, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.3012, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7344, decode.d4.loss_cls: 0.2905, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2887, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7311, decode.d6.loss_cls: 0.2863, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2796, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7248, decode.d8.loss_cls: 0.2814, decode.d8.loss_mask: 0.4989, decode.d8.loss_dice: 0.7300, loss: 16.9021 2022-09-16 03:28:42,422 - mmseg - INFO - Iter [53650/80000] lr: 4.729e-07, eta: 14:47:18, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2670, decode.loss_mask: 0.5112, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.6881, decode.d0.loss_mask: 0.5485, decode.d0.loss_dice: 0.8324, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5336, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.3108, decode.d2.loss_mask: 0.5198, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2909, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7459, decode.d4.loss_cls: 0.2827, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7409, decode.d5.loss_cls: 0.2760, decode.d5.loss_mask: 0.5152, decode.d5.loss_dice: 0.7355, decode.d6.loss_cls: 0.2747, decode.d6.loss_mask: 0.5122, decode.d6.loss_dice: 0.7346, decode.d7.loss_cls: 0.2723, decode.d7.loss_mask: 0.5132, decode.d7.loss_dice: 0.7322, decode.d8.loss_cls: 0.2664, decode.d8.loss_mask: 0.5112, decode.d8.loss_dice: 0.7370, loss: 17.0382 2022-09-16 03:30:15,989 - mmseg - INFO - Iter [53700/80000] lr: 4.720e-07, eta: 14:45:30, time: 1.869, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2676, decode.loss_mask: 0.4946, decode.loss_dice: 0.7569, decode.d0.loss_cls: 1.7137, decode.d0.loss_mask: 0.5327, decode.d0.loss_dice: 0.8562, decode.d1.loss_cls: 0.3470, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.8053, decode.d2.loss_cls: 0.3031, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7831, decode.d3.loss_cls: 0.2866, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7653, decode.d4.loss_cls: 0.2802, decode.d4.loss_mask: 0.5018, decode.d4.loss_dice: 0.7628, decode.d5.loss_cls: 0.2711, decode.d5.loss_mask: 0.4994, decode.d5.loss_dice: 0.7610, decode.d6.loss_cls: 0.2692, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7552, decode.d7.loss_cls: 0.2683, decode.d7.loss_mask: 0.4972, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2677, decode.d8.loss_mask: 0.4984, decode.d8.loss_dice: 0.7548, loss: 17.0766 2022-09-16 03:31:51,560 - mmseg - INFO - Iter [53750/80000] lr: 4.711e-07, eta: 14:43:45, time: 1.914, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2704, decode.loss_mask: 0.4966, decode.loss_dice: 0.7482, decode.d0.loss_cls: 1.7183, decode.d0.loss_mask: 0.5312, decode.d0.loss_dice: 0.8505, decode.d1.loss_cls: 0.3590, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.8016, decode.d2.loss_cls: 0.3112, decode.d2.loss_mask: 0.5092, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.2935, decode.d3.loss_mask: 0.5018, decode.d3.loss_dice: 0.7587, decode.d4.loss_cls: 0.2863, decode.d4.loss_mask: 0.5029, decode.d4.loss_dice: 0.7582, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.4973, decode.d5.loss_dice: 0.7529, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7499, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.4975, decode.d7.loss_dice: 0.7508, decode.d8.loss_cls: 0.2711, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7487, loss: 17.0772 2022-09-16 03:33:25,490 - mmseg - INFO - Iter [53800/80000] lr: 4.702e-07, eta: 14:41:57, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2621, decode.loss_mask: 0.4894, decode.loss_dice: 0.7096, decode.d0.loss_cls: 1.7006, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.8140, decode.d1.loss_cls: 0.3528, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7649, decode.d2.loss_cls: 0.3057, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2896, decode.d3.loss_mask: 0.4935, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2788, decode.d4.loss_mask: 0.4934, decode.d4.loss_dice: 0.7205, decode.d5.loss_cls: 0.2700, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7196, decode.d6.loss_cls: 0.2659, decode.d6.loss_mask: 0.4889, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2652, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7121, decode.d8.loss_cls: 0.2631, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7090, loss: 16.5387 2022-09-16 03:35:00,483 - mmseg - INFO - Iter [53850/80000] lr: 4.693e-07, eta: 14:40:11, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2709, decode.loss_mask: 0.5023, decode.loss_dice: 0.7470, decode.d0.loss_cls: 1.7341, decode.d0.loss_mask: 0.5428, decode.d0.loss_dice: 0.8454, decode.d1.loss_cls: 0.3550, decode.d1.loss_mask: 0.5260, decode.d1.loss_dice: 0.8008, decode.d2.loss_cls: 0.3089, decode.d2.loss_mask: 0.5194, decode.d2.loss_dice: 0.7747, decode.d3.loss_cls: 0.2998, decode.d3.loss_mask: 0.5130, decode.d3.loss_dice: 0.7555, decode.d4.loss_cls: 0.2845, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7567, decode.d5.loss_cls: 0.2785, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2774, decode.d6.loss_mask: 0.5066, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2739, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7485, decode.d8.loss_cls: 0.2746, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7446, loss: 17.1755 2022-09-16 03:36:35,478 - mmseg - INFO - Iter [53900/80000] lr: 4.684e-07, eta: 14:38:25, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2833, decode.loss_mask: 0.4878, decode.loss_dice: 0.7217, decode.d0.loss_cls: 1.6773, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8297, decode.d1.loss_cls: 0.3683, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.7801, decode.d2.loss_cls: 0.3172, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7531, decode.d3.loss_cls: 0.3058, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7357, decode.d4.loss_cls: 0.2954, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7338, decode.d5.loss_cls: 0.2846, decode.d5.loss_mask: 0.4925, decode.d5.loss_dice: 0.7301, decode.d6.loss_cls: 0.2876, decode.d6.loss_mask: 0.4920, decode.d6.loss_dice: 0.7296, decode.d7.loss_cls: 0.2887, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7260, decode.d8.loss_cls: 0.2792, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7258, loss: 16.8376 2022-09-16 03:38:09,811 - mmseg - INFO - Iter [53950/80000] lr: 4.675e-07, eta: 14:36:38, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2588, decode.loss_mask: 0.4931, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.6850, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3385, decode.d1.loss_mask: 0.5172, decode.d1.loss_dice: 0.7703, decode.d2.loss_cls: 0.2929, decode.d2.loss_mask: 0.5045, decode.d2.loss_dice: 0.7432, decode.d3.loss_cls: 0.2785, decode.d3.loss_mask: 0.4995, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2671, decode.d4.loss_mask: 0.5009, decode.d4.loss_dice: 0.7293, decode.d5.loss_cls: 0.2592, decode.d5.loss_mask: 0.4962, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2580, decode.d6.loss_mask: 0.4918, decode.d6.loss_dice: 0.7187, decode.d7.loss_cls: 0.2525, decode.d7.loss_mask: 0.4915, decode.d7.loss_dice: 0.7183, decode.d8.loss_cls: 0.2530, decode.d8.loss_mask: 0.4918, decode.d8.loss_dice: 0.7164, loss: 16.5368 2022-09-16 03:39:46,232 - mmseg - INFO - Saving checkpoint at 54000 iterations 2022-09-16 03:40:17,610 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 03:40:17,618 - mmseg - INFO - Iter [54000/80000] lr: 4.667e-07, eta: 14:35:20, time: 2.553, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2587, decode.loss_mask: 0.4810, decode.loss_dice: 0.7103, decode.d0.loss_cls: 1.6363, decode.d0.loss_mask: 0.5187, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3472, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7654, decode.d2.loss_cls: 0.3006, decode.d2.loss_mask: 0.4889, decode.d2.loss_dice: 0.7286, decode.d3.loss_cls: 0.2863, decode.d3.loss_mask: 0.4863, decode.d3.loss_dice: 0.7171, decode.d4.loss_cls: 0.2733, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2638, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2636, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2601, decode.d7.loss_mask: 0.4817, decode.d7.loss_dice: 0.7070, decode.d8.loss_cls: 0.2608, decode.d8.loss_mask: 0.4816, decode.d8.loss_dice: 0.7124, loss: 16.3313 2022-09-16 03:41:51,287 - mmseg - INFO - Iter [54050/80000] lr: 4.658e-07, eta: 14:33:33, time: 1.876, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2810, decode.loss_mask: 0.4647, decode.loss_dice: 0.7181, decode.d0.loss_cls: 1.7377, decode.d0.loss_mask: 0.5051, decode.d0.loss_dice: 0.8273, decode.d1.loss_cls: 0.3786, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7784, decode.d2.loss_cls: 0.3279, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7508, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7315, decode.d4.loss_cls: 0.2999, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2935, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2895, decode.d6.loss_mask: 0.4662, decode.d6.loss_dice: 0.7205, decode.d7.loss_cls: 0.2908, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.7176, decode.d8.loss_cls: 0.2827, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.7198, loss: 16.6620 2022-09-16 03:43:26,694 - mmseg - INFO - Iter [54100/80000] lr: 4.649e-07, eta: 14:31:47, time: 1.908, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2692, decode.loss_mask: 0.5112, decode.loss_dice: 0.7384, decode.d0.loss_cls: 1.6752, decode.d0.loss_mask: 0.5459, decode.d0.loss_dice: 0.8526, decode.d1.loss_cls: 0.3473, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.7975, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5255, decode.d2.loss_dice: 0.7664, decode.d3.loss_cls: 0.2888, decode.d3.loss_mask: 0.5210, decode.d3.loss_dice: 0.7537, decode.d4.loss_cls: 0.2804, decode.d4.loss_mask: 0.5171, decode.d4.loss_dice: 0.7499, decode.d5.loss_cls: 0.2727, decode.d5.loss_mask: 0.5183, decode.d5.loss_dice: 0.7449, decode.d6.loss_cls: 0.2722, decode.d6.loss_mask: 0.5140, decode.d6.loss_dice: 0.7402, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7423, decode.d8.loss_cls: 0.2706, decode.d8.loss_mask: 0.5141, decode.d8.loss_dice: 0.7425, loss: 17.1061 2022-09-16 03:45:00,808 - mmseg - INFO - Iter [54150/80000] lr: 4.640e-07, eta: 14:30:00, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2713, decode.loss_mask: 0.5042, decode.loss_dice: 0.7473, decode.d0.loss_cls: 1.6645, decode.d0.loss_mask: 0.5399, decode.d0.loss_dice: 0.8425, decode.d1.loss_cls: 0.3707, decode.d1.loss_mask: 0.5294, decode.d1.loss_dice: 0.8003, decode.d2.loss_cls: 0.3203, decode.d2.loss_mask: 0.5150, decode.d2.loss_dice: 0.7689, decode.d3.loss_cls: 0.3057, decode.d3.loss_mask: 0.5112, decode.d3.loss_dice: 0.7569, decode.d4.loss_cls: 0.2898, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7575, decode.d5.loss_cls: 0.2847, decode.d5.loss_mask: 0.5072, decode.d5.loss_dice: 0.7553, decode.d6.loss_cls: 0.2787, decode.d6.loss_mask: 0.5058, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.2745, decode.d7.loss_mask: 0.5033, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.2781, decode.d8.loss_mask: 0.5015, decode.d8.loss_dice: 0.7459, loss: 17.1341 2022-09-16 03:46:34,920 - mmseg - INFO - Iter [54200/80000] lr: 4.631e-07, eta: 14:28:14, time: 1.882, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2643, decode.loss_mask: 0.4938, decode.loss_dice: 0.7248, decode.d0.loss_cls: 1.6940, decode.d0.loss_mask: 0.5280, decode.d0.loss_dice: 0.8328, decode.d1.loss_cls: 0.3494, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.7787, decode.d2.loss_cls: 0.3029, decode.d2.loss_mask: 0.5034, decode.d2.loss_dice: 0.7479, decode.d3.loss_cls: 0.2865, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7359, decode.d4.loss_cls: 0.2713, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2684, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7297, decode.d6.loss_cls: 0.2622, decode.d6.loss_mask: 0.4982, decode.d6.loss_dice: 0.7323, decode.d7.loss_cls: 0.2623, decode.d7.loss_mask: 0.4972, decode.d7.loss_dice: 0.7296, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.4951, decode.d8.loss_dice: 0.7289, loss: 16.7269 2022-09-16 03:48:09,688 - mmseg - INFO - Iter [54250/80000] lr: 4.622e-07, eta: 14:26:27, time: 1.896, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2551, decode.loss_mask: 0.4948, decode.loss_dice: 0.7007, decode.d0.loss_cls: 1.6513, decode.d0.loss_mask: 0.5312, decode.d0.loss_dice: 0.7988, decode.d1.loss_cls: 0.3390, decode.d1.loss_mask: 0.5293, decode.d1.loss_dice: 0.7572, decode.d2.loss_cls: 0.2940, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2792, decode.d3.loss_mask: 0.5029, decode.d3.loss_dice: 0.7120, decode.d4.loss_cls: 0.2690, decode.d4.loss_mask: 0.5014, decode.d4.loss_dice: 0.7104, decode.d5.loss_cls: 0.2640, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2606, decode.d6.loss_mask: 0.4948, decode.d6.loss_dice: 0.7034, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.4941, decode.d7.loss_dice: 0.7028, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.4957, decode.d8.loss_dice: 0.6999, loss: 16.3895 2022-09-16 03:49:44,369 - mmseg - INFO - Iter [54300/80000] lr: 4.613e-07, eta: 14:24:41, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.5064, decode.loss_dice: 0.7328, decode.d0.loss_cls: 1.6674, decode.d0.loss_mask: 0.5466, decode.d0.loss_dice: 0.8418, decode.d1.loss_cls: 0.3342, decode.d1.loss_mask: 0.5366, decode.d1.loss_dice: 0.7889, decode.d2.loss_cls: 0.2968, decode.d2.loss_mask: 0.5223, decode.d2.loss_dice: 0.7538, decode.d3.loss_cls: 0.2845, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7484, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.5095, decode.d5.loss_dice: 0.7373, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.5079, decode.d6.loss_dice: 0.7339, decode.d7.loss_cls: 0.2593, decode.d7.loss_mask: 0.5087, decode.d7.loss_dice: 0.7365, decode.d8.loss_cls: 0.2546, decode.d8.loss_mask: 0.5077, decode.d8.loss_dice: 0.7359, loss: 16.8701 2022-09-16 03:51:21,373 - mmseg - INFO - Iter [54350/80000] lr: 4.604e-07, eta: 14:22:57, time: 1.940, data_time: 0.063, memory: 47124, decode.loss_cls: 0.2608, decode.loss_mask: 0.4991, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.6924, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3583, decode.d1.loss_mask: 0.5229, decode.d1.loss_dice: 0.7737, decode.d2.loss_cls: 0.3104, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7391, decode.d3.loss_cls: 0.2873, decode.d3.loss_mask: 0.5021, decode.d3.loss_dice: 0.7287, decode.d4.loss_cls: 0.2774, decode.d4.loss_mask: 0.4997, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2703, decode.d5.loss_mask: 0.4979, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2651, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2669, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7207, decode.d8.loss_cls: 0.2673, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7196, loss: 16.7033 2022-09-16 03:52:55,529 - mmseg - INFO - Iter [54400/80000] lr: 4.595e-07, eta: 14:21:10, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2349, decode.loss_mask: 0.4712, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.6259, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.7963, decode.d1.loss_cls: 0.3169, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7446, decode.d2.loss_cls: 0.2768, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2576, decode.d3.loss_mask: 0.4737, decode.d3.loss_dice: 0.7065, decode.d4.loss_cls: 0.2468, decode.d4.loss_mask: 0.4725, decode.d4.loss_dice: 0.7063, decode.d5.loss_cls: 0.2459, decode.d5.loss_mask: 0.4720, decode.d5.loss_dice: 0.7032, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4713, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.2354, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.6980, loss: 15.8542 2022-09-16 03:54:29,341 - mmseg - INFO - Iter [54450/80000] lr: 4.586e-07, eta: 14:19:23, time: 1.876, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2508, decode.loss_mask: 0.4925, decode.loss_dice: 0.7228, decode.d0.loss_cls: 1.6658, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8228, decode.d1.loss_cls: 0.3365, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2670, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7328, decode.d4.loss_cls: 0.2644, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7332, decode.d5.loss_cls: 0.2583, decode.d5.loss_mask: 0.4962, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2537, decode.d6.loss_mask: 0.4934, decode.d6.loss_dice: 0.7183, decode.d7.loss_cls: 0.2547, decode.d7.loss_mask: 0.4941, decode.d7.loss_dice: 0.7163, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7240, loss: 16.5263 2022-09-16 03:56:02,653 - mmseg - INFO - Iter [54500/80000] lr: 4.577e-07, eta: 14:17:36, time: 1.866, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2615, decode.loss_mask: 0.4804, decode.loss_dice: 0.7202, decode.d0.loss_cls: 1.6820, decode.d0.loss_mask: 0.5132, decode.d0.loss_dice: 0.8232, decode.d1.loss_cls: 0.3427, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.3041, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2852, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7353, decode.d4.loss_cls: 0.2741, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7314, decode.d5.loss_cls: 0.2716, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7266, decode.d6.loss_cls: 0.2660, decode.d6.loss_mask: 0.4814, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2590, decode.d7.loss_mask: 0.4832, decode.d7.loss_dice: 0.7218, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7195, loss: 16.5318 2022-09-16 03:57:35,987 - mmseg - INFO - Iter [54550/80000] lr: 4.568e-07, eta: 14:15:49, time: 1.867, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2642, decode.loss_mask: 0.4814, decode.loss_dice: 0.7271, decode.d0.loss_cls: 1.6984, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.8365, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.5112, decode.d1.loss_dice: 0.7849, decode.d2.loss_cls: 0.3090, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7500, decode.d3.loss_cls: 0.2872, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2776, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7367, decode.d5.loss_cls: 0.2745, decode.d5.loss_mask: 0.4861, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2653, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7279, decode.d7.loss_cls: 0.2633, decode.d7.loss_mask: 0.4798, decode.d7.loss_dice: 0.7268, decode.d8.loss_cls: 0.2659, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7252, loss: 16.6520 2022-09-16 03:59:11,296 - mmseg - INFO - Iter [54600/80000] lr: 4.559e-07, eta: 14:14:03, time: 1.906, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2505, decode.loss_mask: 0.4883, decode.loss_dice: 0.7347, decode.d0.loss_cls: 1.7044, decode.d0.loss_mask: 0.5274, decode.d0.loss_dice: 0.8415, decode.d1.loss_cls: 0.3396, decode.d1.loss_mask: 0.5119, decode.d1.loss_dice: 0.7947, decode.d2.loss_cls: 0.2918, decode.d2.loss_mask: 0.5002, decode.d2.loss_dice: 0.7574, decode.d3.loss_cls: 0.2782, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7476, decode.d4.loss_cls: 0.2633, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7406, decode.d5.loss_cls: 0.2568, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7405, decode.d6.loss_cls: 0.2585, decode.d6.loss_mask: 0.4897, decode.d6.loss_dice: 0.7352, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.4884, decode.d7.loss_dice: 0.7335, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.4875, decode.d8.loss_dice: 0.7317, loss: 16.6874 2022-09-16 04:00:45,706 - mmseg - INFO - Iter [54650/80000] lr: 4.550e-07, eta: 14:12:17, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2647, decode.loss_mask: 0.4703, decode.loss_dice: 0.7094, decode.d0.loss_cls: 1.7177, decode.d0.loss_mask: 0.5049, decode.d0.loss_dice: 0.8077, decode.d1.loss_cls: 0.3531, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2992, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7422, decode.d3.loss_cls: 0.2847, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.7243, decode.d4.loss_cls: 0.2755, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2687, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2653, decode.d6.loss_mask: 0.4726, decode.d6.loss_dice: 0.7136, decode.d7.loss_cls: 0.2616, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.7165, decode.d8.loss_cls: 0.2600, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.7121, loss: 16.3721 2022-09-16 04:02:20,799 - mmseg - INFO - Iter [54700/80000] lr: 4.541e-07, eta: 14:10:32, time: 1.902, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2594, decode.loss_mask: 0.4649, decode.loss_dice: 0.7272, decode.d0.loss_cls: 1.7010, decode.d0.loss_mask: 0.5025, decode.d0.loss_dice: 0.8274, decode.d1.loss_cls: 0.3470, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7800, decode.d2.loss_cls: 0.3019, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7522, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7332, decode.d4.loss_cls: 0.2695, decode.d4.loss_mask: 0.4710, decode.d4.loss_dice: 0.7330, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7275, decode.d6.loss_cls: 0.2595, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2550, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.7267, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.7303, loss: 16.4105 2022-09-16 04:03:54,090 - mmseg - INFO - Iter [54750/80000] lr: 4.532e-07, eta: 14:08:44, time: 1.865, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.5046, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.6370, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8185, decode.d1.loss_cls: 0.3317, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.7698, decode.d2.loss_cls: 0.2890, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7422, decode.d3.loss_cls: 0.2750, decode.d3.loss_mask: 0.5133, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.5118, decode.d4.loss_dice: 0.7326, decode.d5.loss_cls: 0.2598, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7196, decode.d7.loss_cls: 0.2571, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2536, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7244, loss: 16.6554 2022-09-16 04:05:28,564 - mmseg - INFO - Iter [54800/80000] lr: 4.523e-07, eta: 14:06:58, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2662, decode.loss_mask: 0.4659, decode.loss_dice: 0.7028, decode.d0.loss_cls: 1.7176, decode.d0.loss_mask: 0.5048, decode.d0.loss_dice: 0.8131, decode.d1.loss_cls: 0.3516, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.3082, decode.d2.loss_mask: 0.4761, decode.d2.loss_dice: 0.7251, decode.d3.loss_cls: 0.2887, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.7123, decode.d4.loss_cls: 0.2808, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7085, decode.d5.loss_cls: 0.2752, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.7061, decode.d6.loss_cls: 0.2733, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2626, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.7044, decode.d8.loss_cls: 0.2669, decode.d8.loss_mask: 0.4651, decode.d8.loss_dice: 0.7027, loss: 16.2588 2022-09-16 04:07:03,001 - mmseg - INFO - Iter [54850/80000] lr: 4.514e-07, eta: 14:05:12, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2441, decode.loss_mask: 0.4857, decode.loss_dice: 0.6972, decode.d0.loss_cls: 1.6357, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.8087, decode.d1.loss_cls: 0.3220, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7464, decode.d2.loss_cls: 0.2769, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2674, decode.d3.loss_mask: 0.4917, decode.d3.loss_dice: 0.7086, decode.d4.loss_cls: 0.2562, decode.d4.loss_mask: 0.4896, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.2520, decode.d6.loss_mask: 0.4847, decode.d6.loss_dice: 0.6967, decode.d7.loss_cls: 0.2401, decode.d7.loss_mask: 0.4862, decode.d7.loss_dice: 0.7025, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7005, loss: 16.1122 2022-09-16 04:08:38,001 - mmseg - INFO - Iter [54900/80000] lr: 4.505e-07, eta: 14:03:27, time: 1.898, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2561, decode.loss_mask: 0.4934, decode.loss_dice: 0.7083, decode.d0.loss_cls: 1.6489, decode.d0.loss_mask: 0.5319, decode.d0.loss_dice: 0.8110, decode.d1.loss_cls: 0.3432, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2966, decode.d2.loss_mask: 0.5066, decode.d2.loss_dice: 0.7264, decode.d3.loss_cls: 0.2809, decode.d3.loss_mask: 0.5060, decode.d3.loss_dice: 0.7225, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2610, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7145, decode.d6.loss_cls: 0.2577, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7062, decode.d7.loss_cls: 0.2503, decode.d7.loss_mask: 0.5010, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2522, decode.d8.loss_mask: 0.4986, decode.d8.loss_dice: 0.7072, loss: 16.4468 2022-09-16 04:10:11,819 - mmseg - INFO - Iter [54950/80000] lr: 4.496e-07, eta: 14:01:40, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2487, decode.loss_mask: 0.4997, decode.loss_dice: 0.7149, decode.d0.loss_cls: 1.6450, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8122, decode.d1.loss_cls: 0.3252, decode.d1.loss_mask: 0.5233, decode.d1.loss_dice: 0.7644, decode.d2.loss_cls: 0.2797, decode.d2.loss_mask: 0.5150, decode.d2.loss_dice: 0.7414, decode.d3.loss_cls: 0.2673, decode.d3.loss_mask: 0.5091, decode.d3.loss_dice: 0.7285, decode.d4.loss_cls: 0.2514, decode.d4.loss_mask: 0.5047, decode.d4.loss_dice: 0.7256, decode.d5.loss_cls: 0.2495, decode.d5.loss_mask: 0.5055, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7159, decode.d7.loss_cls: 0.2481, decode.d7.loss_mask: 0.4999, decode.d7.loss_dice: 0.7144, decode.d8.loss_cls: 0.2430, decode.d8.loss_mask: 0.5007, decode.d8.loss_dice: 0.7152, loss: 16.4614 2022-09-16 04:11:46,134 - mmseg - INFO - Saving checkpoint at 55000 iterations 2022-09-16 04:12:18,189 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 04:12:18,193 - mmseg - INFO - Iter [55000/80000] lr: 4.487e-07, eta: 14:00:20, time: 2.525, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2452, decode.loss_mask: 0.5098, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.6664, decode.d0.loss_mask: 0.5490, decode.d0.loss_dice: 0.8264, decode.d1.loss_cls: 0.3357, decode.d1.loss_mask: 0.5350, decode.d1.loss_dice: 0.7830, decode.d2.loss_cls: 0.2839, decode.d2.loss_mask: 0.5216, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2642, decode.d3.loss_mask: 0.5170, decode.d3.loss_dice: 0.7448, decode.d4.loss_cls: 0.2563, decode.d4.loss_mask: 0.5146, decode.d4.loss_dice: 0.7441, decode.d5.loss_cls: 0.2522, decode.d5.loss_mask: 0.5125, decode.d5.loss_dice: 0.7407, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.5132, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2379, decode.d7.loss_mask: 0.5131, decode.d7.loss_dice: 0.7372, decode.d8.loss_cls: 0.2449, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7327, loss: 16.7558 2022-09-16 04:13:51,857 - mmseg - INFO - Iter [55050/80000] lr: 4.478e-07, eta: 13:58:34, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2549, decode.loss_mask: 0.4929, decode.loss_dice: 0.7229, decode.d0.loss_cls: 1.6367, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.8181, decode.d1.loss_cls: 0.3439, decode.d1.loss_mask: 0.5156, decode.d1.loss_dice: 0.7743, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.5050, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.2780, decode.d3.loss_mask: 0.4990, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2762, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7271, decode.d5.loss_cls: 0.2681, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2615, decode.d6.loss_mask: 0.4932, decode.d6.loss_dice: 0.7254, decode.d7.loss_cls: 0.2532, decode.d7.loss_mask: 0.4916, decode.d7.loss_dice: 0.7242, decode.d8.loss_cls: 0.2560, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7231, loss: 16.5444 2022-09-16 04:15:26,600 - mmseg - INFO - Iter [55100/80000] lr: 4.469e-07, eta: 13:56:48, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2651, decode.loss_mask: 0.4796, decode.loss_dice: 0.7217, decode.d0.loss_cls: 1.7152, decode.d0.loss_mask: 0.5163, decode.d0.loss_dice: 0.8278, decode.d1.loss_cls: 0.3531, decode.d1.loss_mask: 0.5053, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.3033, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7550, decode.d3.loss_cls: 0.2875, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7382, decode.d4.loss_cls: 0.2758, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7384, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7348, decode.d6.loss_cls: 0.2712, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.7244, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2638, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7235, loss: 16.6451 2022-09-16 04:17:00,123 - mmseg - INFO - Iter [55150/80000] lr: 4.460e-07, eta: 13:55:01, time: 1.873, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2458, decode.loss_mask: 0.4888, decode.loss_dice: 0.7109, decode.d0.loss_cls: 1.7026, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8066, decode.d1.loss_cls: 0.3443, decode.d1.loss_mask: 0.5170, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2882, decode.d2.loss_mask: 0.5026, decode.d2.loss_dice: 0.7390, decode.d3.loss_cls: 0.2650, decode.d3.loss_mask: 0.4961, decode.d3.loss_dice: 0.7232, decode.d4.loss_cls: 0.2646, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2570, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2509, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2489, decode.d7.loss_mask: 0.4891, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2492, decode.d8.loss_mask: 0.4884, decode.d8.loss_dice: 0.7103, loss: 16.4032 2022-09-16 04:18:34,189 - mmseg - INFO - Iter [55200/80000] lr: 4.451e-07, eta: 13:53:15, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2531, decode.loss_mask: 0.5061, decode.loss_dice: 0.7271, decode.d0.loss_cls: 1.6288, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8290, decode.d1.loss_cls: 0.3376, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.7787, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.5168, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.2685, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7421, decode.d4.loss_cls: 0.2600, decode.d4.loss_mask: 0.5126, decode.d4.loss_dice: 0.7364, decode.d5.loss_cls: 0.2543, decode.d5.loss_mask: 0.5088, decode.d5.loss_dice: 0.7319, decode.d6.loss_cls: 0.2506, decode.d6.loss_mask: 0.5080, decode.d6.loss_dice: 0.7285, decode.d7.loss_cls: 0.2520, decode.d7.loss_mask: 0.5067, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7237, loss: 16.6722 2022-09-16 04:20:08,669 - mmseg - INFO - Iter [55250/80000] lr: 4.442e-07, eta: 13:51:29, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2684, decode.loss_mask: 0.4968, decode.loss_dice: 0.7292, decode.d0.loss_cls: 1.6581, decode.d0.loss_mask: 0.5398, decode.d0.loss_dice: 0.8356, decode.d1.loss_cls: 0.3428, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.7830, decode.d2.loss_cls: 0.2992, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7506, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7386, decode.d4.loss_cls: 0.2735, decode.d4.loss_mask: 0.5040, decode.d4.loss_dice: 0.7411, decode.d5.loss_cls: 0.2709, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7287, decode.d6.loss_cls: 0.2725, decode.d6.loss_mask: 0.4977, decode.d6.loss_dice: 0.7285, decode.d7.loss_cls: 0.2694, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7287, decode.d8.loss_cls: 0.2721, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7271, loss: 16.7776 2022-09-16 04:21:42,864 - mmseg - INFO - Iter [55300/80000] lr: 4.433e-07, eta: 13:49:43, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2581, decode.loss_mask: 0.4923, decode.loss_dice: 0.7128, decode.d0.loss_cls: 1.6844, decode.d0.loss_mask: 0.5250, decode.d0.loss_dice: 0.8169, decode.d1.loss_cls: 0.3411, decode.d1.loss_mask: 0.5160, decode.d1.loss_dice: 0.7724, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7446, decode.d3.loss_cls: 0.2824, decode.d3.loss_mask: 0.4982, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2720, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7257, decode.d5.loss_cls: 0.2634, decode.d5.loss_mask: 0.4946, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7186, decode.d7.loss_cls: 0.2604, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.4933, decode.d8.loss_dice: 0.7133, loss: 16.5468 2022-09-16 04:23:16,921 - mmseg - INFO - Iter [55350/80000] lr: 4.424e-07, eta: 13:47:57, time: 1.881, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2661, decode.loss_mask: 0.5010, decode.loss_dice: 0.7425, decode.d0.loss_cls: 1.7094, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3596, decode.d1.loss_mask: 0.5256, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.5121, decode.d2.loss_dice: 0.7692, decode.d3.loss_cls: 0.2902, decode.d3.loss_mask: 0.5064, decode.d3.loss_dice: 0.7534, decode.d4.loss_cls: 0.2790, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7500, decode.d5.loss_cls: 0.2769, decode.d5.loss_mask: 0.5032, decode.d5.loss_dice: 0.7539, decode.d6.loss_cls: 0.2729, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7488, decode.d7.loss_cls: 0.2672, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2651, decode.d8.loss_mask: 0.4995, decode.d8.loss_dice: 0.7403, loss: 17.0413 2022-09-16 04:24:51,498 - mmseg - INFO - Iter [55400/80000] lr: 4.415e-07, eta: 13:46:12, time: 1.891, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2550, decode.loss_mask: 0.4884, decode.loss_dice: 0.7237, decode.d0.loss_cls: 1.6760, decode.d0.loss_mask: 0.5249, decode.d0.loss_dice: 0.8305, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5179, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.2926, decode.d2.loss_mask: 0.5022, decode.d2.loss_dice: 0.7555, decode.d3.loss_cls: 0.2749, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7401, decode.d4.loss_cls: 0.2682, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7352, decode.d5.loss_cls: 0.2603, decode.d5.loss_mask: 0.4919, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2566, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7313, decode.d7.loss_cls: 0.2560, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.7260, decode.d8.loss_cls: 0.2546, decode.d8.loss_mask: 0.4865, decode.d8.loss_dice: 0.7297, loss: 16.5986 2022-09-16 04:26:25,338 - mmseg - INFO - Iter [55450/80000] lr: 4.406e-07, eta: 13:44:25, time: 1.877, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2494, decode.loss_mask: 0.4750, decode.loss_dice: 0.7021, decode.d0.loss_cls: 1.6492, decode.d0.loss_mask: 0.5166, decode.d0.loss_dice: 0.8065, decode.d1.loss_cls: 0.3247, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7618, decode.d2.loss_cls: 0.2880, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7290, decode.d3.loss_cls: 0.2704, decode.d3.loss_mask: 0.4831, decode.d3.loss_dice: 0.7196, decode.d4.loss_cls: 0.2625, decode.d4.loss_mask: 0.4774, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2555, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2489, decode.d6.loss_mask: 0.4746, decode.d6.loss_dice: 0.7079, decode.d7.loss_cls: 0.2507, decode.d7.loss_mask: 0.4766, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.2475, decode.d8.loss_mask: 0.4758, decode.d8.loss_dice: 0.7075, loss: 16.1674 2022-09-16 04:28:01,513 - mmseg - INFO - Iter [55500/80000] lr: 4.397e-07, eta: 13:42:41, time: 1.924, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2625, decode.loss_mask: 0.4768, decode.loss_dice: 0.7275, decode.d0.loss_cls: 1.7460, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8287, decode.d1.loss_cls: 0.3470, decode.d1.loss_mask: 0.5025, decode.d1.loss_dice: 0.7867, decode.d2.loss_cls: 0.3017, decode.d2.loss_mask: 0.4908, decode.d2.loss_dice: 0.7568, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.4838, decode.d3.loss_dice: 0.7444, decode.d4.loss_cls: 0.2787, decode.d4.loss_mask: 0.4822, decode.d4.loss_dice: 0.7396, decode.d5.loss_cls: 0.2740, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.7367, decode.d6.loss_cls: 0.2673, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2659, decode.d7.loss_mask: 0.4793, decode.d7.loss_dice: 0.7282, decode.d8.loss_cls: 0.2609, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.7275, loss: 16.6560 2022-09-16 04:29:37,140 - mmseg - INFO - Iter [55550/80000] lr: 4.388e-07, eta: 13:40:56, time: 1.912, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2629, decode.loss_mask: 0.4695, decode.loss_dice: 0.7075, decode.d0.loss_cls: 1.7261, decode.d0.loss_mask: 0.5112, decode.d0.loss_dice: 0.8130, decode.d1.loss_cls: 0.3504, decode.d1.loss_mask: 0.4955, decode.d1.loss_dice: 0.7692, decode.d2.loss_cls: 0.3034, decode.d2.loss_mask: 0.4828, decode.d2.loss_dice: 0.7342, decode.d3.loss_cls: 0.2863, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.7232, decode.d4.loss_cls: 0.2779, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2715, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7116, decode.d7.loss_cls: 0.2662, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2677, decode.d8.loss_mask: 0.4694, decode.d8.loss_dice: 0.7124, loss: 16.3870 2022-09-16 04:31:14,354 - mmseg - INFO - Iter [55600/80000] lr: 4.379e-07, eta: 13:39:13, time: 1.944, data_time: 0.062, memory: 47124, decode.loss_cls: 0.2607, decode.loss_mask: 0.4946, decode.loss_dice: 0.7299, decode.d0.loss_cls: 1.6774, decode.d0.loss_mask: 0.5300, decode.d0.loss_dice: 0.8328, decode.d1.loss_cls: 0.3466, decode.d1.loss_mask: 0.5225, decode.d1.loss_dice: 0.7891, decode.d2.loss_cls: 0.3024, decode.d2.loss_mask: 0.5099, decode.d2.loss_dice: 0.7621, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.5045, decode.d3.loss_dice: 0.7390, decode.d4.loss_cls: 0.2763, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7401, decode.d5.loss_cls: 0.2625, decode.d5.loss_mask: 0.5043, decode.d5.loss_dice: 0.7419, decode.d6.loss_cls: 0.2652, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.4963, decode.d7.loss_dice: 0.7340, decode.d8.loss_cls: 0.2654, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7307, loss: 16.7982 2022-09-16 04:32:50,180 - mmseg - INFO - Iter [55650/80000] lr: 4.370e-07, eta: 13:37:29, time: 1.917, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2477, decode.loss_mask: 0.4835, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.6558, decode.d0.loss_mask: 0.5242, decode.d0.loss_dice: 0.8071, decode.d1.loss_cls: 0.3333, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7589, decode.d2.loss_cls: 0.2902, decode.d2.loss_mask: 0.5015, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2726, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2622, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2544, decode.d5.loss_mask: 0.4870, decode.d5.loss_dice: 0.7094, decode.d6.loss_cls: 0.2448, decode.d6.loss_mask: 0.4862, decode.d6.loss_dice: 0.7057, decode.d7.loss_cls: 0.2447, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7067, decode.d8.loss_cls: 0.2433, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7120, loss: 16.2744 2022-09-16 04:34:24,333 - mmseg - INFO - Iter [55700/80000] lr: 4.361e-07, eta: 13:35:43, time: 1.883, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2727, decode.loss_mask: 0.5025, decode.loss_dice: 0.7391, decode.d0.loss_cls: 1.6872, decode.d0.loss_mask: 0.5433, decode.d0.loss_dice: 0.8516, decode.d1.loss_cls: 0.3610, decode.d1.loss_mask: 0.5277, decode.d1.loss_dice: 0.7911, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.5161, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.2951, decode.d3.loss_mask: 0.5117, decode.d3.loss_dice: 0.7547, decode.d4.loss_cls: 0.2843, decode.d4.loss_mask: 0.5080, decode.d4.loss_dice: 0.7538, decode.d5.loss_cls: 0.2802, decode.d5.loss_mask: 0.5062, decode.d5.loss_dice: 0.7441, decode.d6.loss_cls: 0.2771, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2765, decode.d7.loss_mask: 0.5015, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7364, loss: 17.0598 2022-09-16 04:35:58,927 - mmseg - INFO - Iter [55750/80000] lr: 4.352e-07, eta: 13:33:57, time: 1.889, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2562, decode.loss_mask: 0.5075, decode.loss_dice: 0.7229, decode.d0.loss_cls: 1.6661, decode.d0.loss_mask: 0.5497, decode.d0.loss_dice: 0.8240, decode.d1.loss_cls: 0.3432, decode.d1.loss_mask: 0.5334, decode.d1.loss_dice: 0.7730, decode.d2.loss_cls: 0.2984, decode.d2.loss_mask: 0.5214, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2842, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7302, decode.d4.loss_cls: 0.2658, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7349, decode.d5.loss_cls: 0.2647, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2609, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2596, decode.d7.loss_mask: 0.5087, decode.d7.loss_dice: 0.7254, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7232, loss: 16.7508 2022-09-16 04:37:33,332 - mmseg - INFO - Iter [55800/80000] lr: 4.343e-07, eta: 13:32:12, time: 1.890, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2419, decode.loss_mask: 0.4883, decode.loss_dice: 0.7273, decode.d0.loss_cls: 1.6499, decode.d0.loss_mask: 0.5241, decode.d0.loss_dice: 0.8220, decode.d1.loss_cls: 0.3190, decode.d1.loss_mask: 0.5132, decode.d1.loss_dice: 0.7738, decode.d2.loss_cls: 0.2748, decode.d2.loss_mask: 0.5023, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2573, decode.d3.loss_mask: 0.4983, decode.d3.loss_dice: 0.7361, decode.d4.loss_cls: 0.2463, decode.d4.loss_mask: 0.4945, decode.d4.loss_dice: 0.7341, decode.d5.loss_cls: 0.2418, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2488, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7248, decode.d7.loss_cls: 0.2445, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7245, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4902, decode.d8.loss_dice: 0.7248, loss: 16.4019 2022-09-16 04:39:07,735 - mmseg - INFO - Iter [55850/80000] lr: 4.334e-07, eta: 13:30:26, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2564, decode.loss_mask: 0.4873, decode.loss_dice: 0.7015, decode.d0.loss_cls: 1.6344, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3482, decode.d1.loss_mask: 0.5144, decode.d1.loss_dice: 0.7570, decode.d2.loss_cls: 0.2938, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2781, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2658, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7072, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4917, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2542, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2529, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.2567, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7001, loss: 16.2508 2022-09-16 04:40:42,513 - mmseg - INFO - Iter [55900/80000] lr: 4.326e-07, eta: 13:28:41, time: 1.895, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2677, decode.loss_mask: 0.4892, decode.loss_dice: 0.7389, decode.d0.loss_cls: 1.6986, decode.d0.loss_mask: 0.5142, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3538, decode.d1.loss_mask: 0.5134, decode.d1.loss_dice: 0.7901, decode.d2.loss_cls: 0.3095, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7606, decode.d3.loss_cls: 0.2928, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7449, decode.d4.loss_cls: 0.2813, decode.d4.loss_mask: 0.4896, decode.d4.loss_dice: 0.7441, decode.d5.loss_cls: 0.2768, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7468, decode.d6.loss_cls: 0.2692, decode.d6.loss_mask: 0.4865, decode.d6.loss_dice: 0.7396, decode.d7.loss_cls: 0.2697, decode.d7.loss_mask: 0.4849, decode.d7.loss_dice: 0.7386, decode.d8.loss_cls: 0.2688, decode.d8.loss_mask: 0.4870, decode.d8.loss_dice: 0.7404, loss: 16.7993 2022-09-16 04:42:17,469 - mmseg - INFO - Iter [55950/80000] lr: 4.317e-07, eta: 13:26:56, time: 1.897, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2489, decode.loss_mask: 0.4837, decode.loss_dice: 0.7251, decode.d0.loss_cls: 1.6984, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8348, decode.d1.loss_cls: 0.3382, decode.d1.loss_mask: 0.5104, decode.d1.loss_dice: 0.7838, decode.d2.loss_cls: 0.2946, decode.d2.loss_mask: 0.4979, decode.d2.loss_dice: 0.7543, decode.d3.loss_cls: 0.2747, decode.d3.loss_mask: 0.4916, decode.d3.loss_dice: 0.7384, decode.d4.loss_cls: 0.2619, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7408, decode.d5.loss_cls: 0.2581, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7314, decode.d6.loss_cls: 0.2528, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7285, decode.d7.loss_cls: 0.2512, decode.d7.loss_mask: 0.4836, decode.d7.loss_dice: 0.7283, decode.d8.loss_cls: 0.2522, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.7284, loss: 16.5613 2022-09-16 04:43:51,082 - mmseg - INFO - Saving checkpoint at 56000 iterations 2022-09-16 04:44:21,570 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 04:44:21,578 - mmseg - INFO - Iter [56000/80000] lr: 4.308e-07, eta: 13:25:33, time: 2.482, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2692, decode.loss_mask: 0.5021, decode.loss_dice: 0.7156, decode.d0.loss_cls: 1.7118, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8065, decode.d1.loss_cls: 0.3533, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.7704, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7438, decode.d3.loss_cls: 0.2947, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.7264, decode.d4.loss_cls: 0.2829, decode.d4.loss_mask: 0.5070, decode.d4.loss_dice: 0.7231, decode.d5.loss_cls: 0.2726, decode.d5.loss_mask: 0.5073, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2737, decode.d6.loss_mask: 0.5026, decode.d6.loss_dice: 0.7151, decode.d7.loss_cls: 0.2692, decode.d7.loss_mask: 0.5018, decode.d7.loss_dice: 0.7184, decode.d8.loss_cls: 0.2706, decode.d8.loss_mask: 0.5000, decode.d8.loss_dice: 0.7188, loss: 16.7636 2022-09-16 04:46:13,670 - mmseg - INFO - per class results: 2022-09-16 04:46:13,681 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 83.65 | 90.71 | | building | 85.51 | 92.31 | | sky | 95.32 | 97.66 | | floor | 86.26 | 92.17 | | tree | 79.22 | 89.38 | | ceiling | 88.34 | 93.48 | | road | 87.45 | 92.08 | | bed | 94.02 | 97.29 | | windowpane | 66.41 | 80.58 | | grass | 74.1 | 89.89 | | cabinet | 67.76 | 80.58 | | sidewalk | 71.0 | 84.78 | | person | 88.36 | 94.85 | | earth | 39.98 | 49.8 | | door | 60.74 | 75.39 | | table | 73.27 | 83.53 | | mountain | 65.2 | 79.34 | | plant | 58.12 | 70.23 | | curtain | 81.56 | 91.37 | | chair | 69.77 | 79.65 | | car | 89.65 | 94.85 | | water | 65.46 | 84.52 | | painting | 80.3 | 90.61 | | sofa | 80.81 | 89.62 | | shelf | 51.72 | 64.88 | | house | 47.87 | 65.14 | | sea | 68.01 | 84.62 | | mirror | 80.67 | 92.99 | | rug | 70.73 | 82.19 | | field | 37.15 | 59.1 | | armchair | 59.89 | 81.57 | | seat | 65.9 | 81.18 | | fence | 53.51 | 71.0 | | desk | 63.34 | 83.46 | | rock | 60.8 | 76.04 | | wardrobe | 63.85 | 78.28 | | lamp | 80.96 | 91.08 | | bathtub | 92.39 | 93.95 | | railing | 43.51 | 61.83 | | cushion | 71.66 | 84.97 | | base | 48.37 | 65.77 | | box | 43.52 | 59.03 | | column | 58.47 | 69.34 | | signboard | 44.02 | 64.16 | | chest of drawers | 45.27 | 68.82 | | counter | 44.23 | 55.15 | | sand | 58.12 | 87.09 | | sink | 87.21 | 91.79 | | skyscraper | 45.14 | 58.05 | | fireplace | 79.94 | 92.36 | | refrigerator | 85.75 | 91.75 | | grandstand | 63.31 | 83.07 | | path | 26.03 | 39.63 | | stairs | 51.15 | 70.74 | | runway | 75.74 | 96.84 | | case | 68.73 | 89.68 | | pool table | 95.61 | 98.07 | | pillow | 68.33 | 79.51 | | screen door | 85.04 | 87.81 | | stairway | 58.62 | 70.57 | | river | 17.87 | 20.47 | | bridge | 71.41 | 83.2 | | bookcase | 40.31 | 58.39 | | blind | 38.38 | 44.76 | | coffee table | 69.04 | 87.36 | | toilet | 91.98 | 94.93 | | flower | 58.18 | 77.86 | | book | 59.2 | 81.8 | | hill | 6.19 | 10.96 | | bench | 74.46 | 84.39 | | countertop | 69.94 | 86.0 | | stove | 86.35 | 90.54 | | palm | 57.04 | 82.7 | | kitchen island | 53.85 | 81.41 | | computer | 84.66 | 90.58 | | swivel chair | 51.58 | 72.26 | | boat | 66.15 | 91.15 | | bar | 61.61 | 80.32 | | arcade machine | 83.01 | 88.75 | | hovel | 43.69 | 49.32 | | bus | 87.11 | 97.16 | | towel | 78.22 | 90.04 | | light | 66.33 | 81.16 | | truck | 53.52 | 73.95 | | tower | 28.72 | 48.87 | | chandelier | 78.32 | 90.54 | | awning | 38.71 | 49.55 | | streetlight | 49.09 | 70.27 | | booth | 55.62 | 75.8 | | television receiver | 85.27 | 90.32 | | airplane | 82.24 | 97.08 | | dirt track | 9.1 | 34.41 | | apparel | 60.02 | 81.36 | | pole | 39.31 | 55.5 | | land | 0.25 | 0.41 | | bannister | 25.81 | 38.9 | | escalator | 62.8 | 83.83 | | ottoman | 56.05 | 76.73 | | bottle | 53.45 | 78.19 | | buffet | 64.69 | 75.5 | | poster | 34.24 | 47.05 | | stage | 20.1 | 48.03 | | van | 53.54 | 73.84 | | ship | 81.72 | 93.08 | | fountain | 23.57 | 25.33 | | conveyer belt | 79.66 | 97.72 | | canopy | 53.29 | 89.13 | | washer | 72.26 | 86.98 | | plaything | 45.25 | 63.43 | | swimming pool | 70.55 | 74.2 | | stool | 56.46 | 81.21 | | barrel | 87.57 | 96.84 | | basket | 51.21 | 75.47 | | waterfall | 79.51 | 85.89 | | tent | 88.9 | 98.22 | | bag | 32.52 | 41.34 | | minibike | 82.82 | 93.1 | | cradle | 87.29 | 97.79 | | oven | 63.49 | 81.39 | | ball | 45.11 | 48.18 | | food | 70.83 | 82.47 | | step | 20.2 | 24.44 | | tank | 64.55 | 66.3 | | trade name | 30.04 | 37.84 | | microwave | 90.3 | 93.8 | | pot | 62.4 | 74.48 | | animal | 78.99 | 80.78 | | bicycle | 64.15 | 80.72 | | lake | 69.0 | 69.29 | | dishwasher | 83.46 | 90.38 | | screen | 51.53 | 69.69 | | blanket | 37.4 | 48.92 | | sculpture | 68.9 | 91.3 | | hood | 65.44 | 77.63 | | sconce | 66.34 | 80.19 | | vase | 59.49 | 82.69 | | traffic light | 52.54 | 75.78 | | tray | 31.86 | 49.19 | | ashcan | 56.88 | 75.54 | | fan | 74.76 | 87.19 | | pier | 42.09 | 44.34 | | crt screen | 4.9 | 18.01 | | plate | 66.23 | 82.58 | | monitor | 12.37 | 14.94 | | bulletin board | 51.0 | 63.71 | | shower | 16.01 | 28.2 | | radiator | 73.2 | 92.49 | | glass | 28.62 | 31.61 | | clock | 61.23 | 70.84 | | flag | 74.92 | 85.78 | +---------------------+-------+-------+ 2022-09-16 04:46:13,681 - mmseg - INFO - Summary: 2022-09-16 04:46:13,681 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 87.24 | 61.17 | 74.35 | +-------+-------+-------+ 2022-09-16 04:46:13,831 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/mask2former_beitv2_adapter_large_896_80k_ade20k_ss/best_mIoU_iter_24000.pth was removed 2022-09-16 04:46:40,503 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_56000.pth. 2022-09-16 04:46:40,515 - mmseg - INFO - Best mIoU is 0.6117 at 56000 iter. 2022-09-16 04:46:40,533 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 04:46:40,534 - mmseg - INFO - Iter(val) [125] aAcc: 0.8724, mIoU: 0.6117, mAcc: 0.7435, IoU.wall: 0.8365, IoU.building: 0.8551, IoU.sky: 0.9532, IoU.floor: 0.8626, IoU.tree: 0.7922, IoU.ceiling: 0.8834, IoU.road: 0.8745, IoU.bed : 0.9402, IoU.windowpane: 0.6641, IoU.grass: 0.7410, IoU.cabinet: 0.6776, IoU.sidewalk: 0.7100, IoU.person: 0.8836, IoU.earth: 0.3998, IoU.door: 0.6074, IoU.table: 0.7327, IoU.mountain: 0.6520, IoU.plant: 0.5812, IoU.curtain: 0.8156, IoU.chair: 0.6977, IoU.car: 0.8965, IoU.water: 0.6546, IoU.painting: 0.8030, IoU.sofa: 0.8081, IoU.shelf: 0.5172, IoU.house: 0.4787, IoU.sea: 0.6801, IoU.mirror: 0.8067, IoU.rug: 0.7073, IoU.field: 0.3715, IoU.armchair: 0.5989, IoU.seat: 0.6590, IoU.fence: 0.5351, IoU.desk: 0.6334, IoU.rock: 0.6080, IoU.wardrobe: 0.6385, IoU.lamp: 0.8096, IoU.bathtub: 0.9239, IoU.railing: 0.4351, IoU.cushion: 0.7166, IoU.base: 0.4837, IoU.box: 0.4352, IoU.column: 0.5847, IoU.signboard: 0.4402, IoU.chest of drawers: 0.4527, IoU.counter: 0.4423, IoU.sand: 0.5812, IoU.sink: 0.8721, IoU.skyscraper: 0.4514, IoU.fireplace: 0.7994, IoU.refrigerator: 0.8575, IoU.grandstand: 0.6331, IoU.path: 0.2603, IoU.stairs: 0.5115, IoU.runway: 0.7574, IoU.case: 0.6873, IoU.pool table: 0.9561, IoU.pillow: 0.6833, IoU.screen door: 0.8504, IoU.stairway: 0.5862, IoU.river: 0.1787, IoU.bridge: 0.7141, IoU.bookcase: 0.4031, IoU.blind: 0.3838, IoU.coffee table: 0.6904, IoU.toilet: 0.9198, IoU.flower: 0.5818, IoU.book: 0.5920, IoU.hill: 0.0619, IoU.bench: 0.7446, IoU.countertop: 0.6994, IoU.stove: 0.8635, IoU.palm: 0.5704, IoU.kitchen island: 0.5385, IoU.computer: 0.8466, IoU.swivel chair: 0.5158, IoU.boat: 0.6615, IoU.bar: 0.6161, IoU.arcade machine: 0.8301, IoU.hovel: 0.4369, IoU.bus: 0.8711, IoU.towel: 0.7822, IoU.light: 0.6633, IoU.truck: 0.5352, IoU.tower: 0.2872, IoU.chandelier: 0.7832, IoU.awning: 0.3871, IoU.streetlight: 0.4909, IoU.booth: 0.5562, IoU.television receiver: 0.8527, IoU.airplane: 0.8224, IoU.dirt track: 0.0910, IoU.apparel: 0.6002, IoU.pole: 0.3931, IoU.land: 0.0025, IoU.bannister: 0.2581, IoU.escalator: 0.6280, IoU.ottoman: 0.5605, IoU.bottle: 0.5345, IoU.buffet: 0.6469, IoU.poster: 0.3424, IoU.stage: 0.2010, IoU.van: 0.5354, IoU.ship: 0.8172, IoU.fountain: 0.2357, IoU.conveyer belt: 0.7966, IoU.canopy: 0.5329, IoU.washer: 0.7226, IoU.plaything: 0.4525, IoU.swimming pool: 0.7055, IoU.stool: 0.5646, IoU.barrel: 0.8757, IoU.basket: 0.5121, IoU.waterfall: 0.7951, IoU.tent: 0.8890, IoU.bag: 0.3252, IoU.minibike: 0.8282, IoU.cradle: 0.8729, IoU.oven: 0.6349, IoU.ball: 0.4511, IoU.food: 0.7083, IoU.step: 0.2020, IoU.tank: 0.6455, IoU.trade name: 0.3004, IoU.microwave: 0.9030, IoU.pot: 0.6240, IoU.animal: 0.7899, IoU.bicycle: 0.6415, IoU.lake: 0.6900, IoU.dishwasher: 0.8346, IoU.screen: 0.5153, IoU.blanket: 0.3740, IoU.sculpture: 0.6890, IoU.hood: 0.6544, IoU.sconce: 0.6634, IoU.vase: 0.5949, IoU.traffic light: 0.5254, IoU.tray: 0.3186, IoU.ashcan: 0.5688, IoU.fan: 0.7476, IoU.pier: 0.4209, IoU.crt screen: 0.0490, IoU.plate: 0.6623, IoU.monitor: 0.1237, IoU.bulletin board: 0.5100, IoU.shower: 0.1601, IoU.radiator: 0.7320, IoU.glass: 0.2862, IoU.clock: 0.6123, IoU.flag: 0.7492, Acc.wall: 0.9071, Acc.building: 0.9231, Acc.sky: 0.9766, Acc.floor: 0.9217, Acc.tree: 0.8938, Acc.ceiling: 0.9348, Acc.road: 0.9208, Acc.bed : 0.9729, Acc.windowpane: 0.8058, Acc.grass: 0.8989, Acc.cabinet: 0.8058, Acc.sidewalk: 0.8478, Acc.person: 0.9485, Acc.earth: 0.4980, Acc.door: 0.7539, Acc.table: 0.8353, Acc.mountain: 0.7934, Acc.plant: 0.7023, Acc.curtain: 0.9137, Acc.chair: 0.7965, Acc.car: 0.9485, Acc.water: 0.8452, Acc.painting: 0.9061, Acc.sofa: 0.8962, Acc.shelf: 0.6488, Acc.house: 0.6514, Acc.sea: 0.8462, Acc.mirror: 0.9299, Acc.rug: 0.8219, Acc.field: 0.5910, Acc.armchair: 0.8157, Acc.seat: 0.8118, Acc.fence: 0.7100, Acc.desk: 0.8346, Acc.rock: 0.7604, Acc.wardrobe: 0.7828, Acc.lamp: 0.9108, Acc.bathtub: 0.9395, Acc.railing: 0.6183, Acc.cushion: 0.8497, Acc.base: 0.6577, Acc.box: 0.5903, Acc.column: 0.6934, Acc.signboard: 0.6416, Acc.chest of drawers: 0.6882, Acc.counter: 0.5515, Acc.sand: 0.8709, Acc.sink: 0.9179, Acc.skyscraper: 0.5805, Acc.fireplace: 0.9236, Acc.refrigerator: 0.9175, Acc.grandstand: 0.8307, Acc.path: 0.3963, Acc.stairs: 0.7074, Acc.runway: 0.9684, Acc.case: 0.8968, Acc.pool table: 0.9807, Acc.pillow: 0.7951, Acc.screen door: 0.8781, Acc.stairway: 0.7057, Acc.river: 0.2047, Acc.bridge: 0.8320, Acc.bookcase: 0.5839, Acc.blind: 0.4476, Acc.coffee table: 0.8736, Acc.toilet: 0.9493, Acc.flower: 0.7786, Acc.book: 0.8180, Acc.hill: 0.1096, Acc.bench: 0.8439, Acc.countertop: 0.8600, Acc.stove: 0.9054, Acc.palm: 0.8270, Acc.kitchen island: 0.8141, Acc.computer: 0.9058, Acc.swivel chair: 0.7226, Acc.boat: 0.9115, Acc.bar: 0.8032, Acc.arcade machine: 0.8875, Acc.hovel: 0.4932, Acc.bus: 0.9716, Acc.towel: 0.9004, Acc.light: 0.8116, Acc.truck: 0.7395, Acc.tower: 0.4887, Acc.chandelier: 0.9054, Acc.awning: 0.4955, Acc.streetlight: 0.7027, Acc.booth: 0.7580, Acc.television receiver: 0.9032, Acc.airplane: 0.9708, Acc.dirt track: 0.3441, Acc.apparel: 0.8136, Acc.pole: 0.5550, Acc.land: 0.0041, Acc.bannister: 0.3890, Acc.escalator: 0.8383, Acc.ottoman: 0.7673, Acc.bottle: 0.7819, Acc.buffet: 0.7550, Acc.poster: 0.4705, Acc.stage: 0.4803, Acc.van: 0.7384, Acc.ship: 0.9308, Acc.fountain: 0.2533, Acc.conveyer belt: 0.9772, Acc.canopy: 0.8913, Acc.washer: 0.8698, Acc.plaything: 0.6343, Acc.swimming pool: 0.7420, Acc.stool: 0.8121, Acc.barrel: 0.9684, Acc.basket: 0.7547, Acc.waterfall: 0.8589, Acc.tent: 0.9822, Acc.bag: 0.4134, Acc.minibike: 0.9310, Acc.cradle: 0.9779, Acc.oven: 0.8139, Acc.ball: 0.4818, Acc.food: 0.8247, Acc.step: 0.2444, Acc.tank: 0.6630, Acc.trade name: 0.3784, Acc.microwave: 0.9380, Acc.pot: 0.7448, Acc.animal: 0.8078, Acc.bicycle: 0.8072, Acc.lake: 0.6929, Acc.dishwasher: 0.9038, Acc.screen: 0.6969, Acc.blanket: 0.4892, Acc.sculpture: 0.9130, Acc.hood: 0.7763, Acc.sconce: 0.8019, Acc.vase: 0.8269, Acc.traffic light: 0.7578, Acc.tray: 0.4919, Acc.ashcan: 0.7554, Acc.fan: 0.8719, Acc.pier: 0.4434, Acc.crt screen: 0.1801, Acc.plate: 0.8258, Acc.monitor: 0.1494, Acc.bulletin board: 0.6371, Acc.shower: 0.2820, Acc.radiator: 0.9249, Acc.glass: 0.3161, Acc.clock: 0.7084, Acc.flag: 0.8578 2022-09-16 04:48:16,525 - mmseg - INFO - Iter [56050/80000] lr: 4.299e-07, eta: 13:25:33, time: 4.702, data_time: 2.800, memory: 47124, decode.loss_cls: 0.2514, decode.loss_mask: 0.4835, decode.loss_dice: 0.7153, decode.d0.loss_cls: 1.6919, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8221, decode.d1.loss_cls: 0.3417, decode.d1.loss_mask: 0.5115, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.2953, decode.d2.loss_mask: 0.4951, decode.d2.loss_dice: 0.7465, decode.d3.loss_cls: 0.2783, decode.d3.loss_mask: 0.4894, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2624, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4845, decode.d5.loss_dice: 0.7272, decode.d6.loss_cls: 0.2610, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7212, decode.d7.loss_cls: 0.2479, decode.d7.loss_mask: 0.4846, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2558, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7179, loss: 16.4730 2022-09-16 04:49:49,612 - mmseg - INFO - Iter [56100/80000] lr: 4.290e-07, eta: 13:23:46, time: 1.861, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2594, decode.loss_mask: 0.4843, decode.loss_dice: 0.7427, decode.d0.loss_cls: 1.6978, decode.d0.loss_mask: 0.5126, decode.d0.loss_dice: 0.8389, decode.d1.loss_cls: 0.3523, decode.d1.loss_mask: 0.5048, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.3035, decode.d2.loss_mask: 0.4963, decode.d2.loss_dice: 0.7654, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7566, decode.d4.loss_cls: 0.2794, decode.d4.loss_mask: 0.4904, decode.d4.loss_dice: 0.7514, decode.d5.loss_cls: 0.2646, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7501, decode.d6.loss_cls: 0.2652, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7474, decode.d7.loss_cls: 0.2619, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7462, decode.d8.loss_cls: 0.2543, decode.d8.loss_mask: 0.4865, decode.d8.loss_dice: 0.7471, loss: 16.7905 2022-09-16 04:51:23,690 - mmseg - INFO - Iter [56150/80000] lr: 4.281e-07, eta: 13:22:00, time: 1.882, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2591, decode.loss_mask: 0.4871, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.6883, decode.d0.loss_mask: 0.5254, decode.d0.loss_dice: 0.8178, decode.d1.loss_cls: 0.3395, decode.d1.loss_mask: 0.5183, decode.d1.loss_dice: 0.7760, decode.d2.loss_cls: 0.2987, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7452, decode.d3.loss_cls: 0.2820, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7349, decode.d4.loss_cls: 0.2735, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7289, decode.d5.loss_cls: 0.2661, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2629, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7224, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7203, loss: 16.5758 2022-09-16 04:52:58,026 - mmseg - INFO - Iter [56200/80000] lr: 4.272e-07, eta: 13:20:15, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2489, decode.loss_mask: 0.4733, decode.loss_dice: 0.7202, decode.d0.loss_cls: 1.6825, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.8224, decode.d1.loss_cls: 0.3412, decode.d1.loss_mask: 0.4968, decode.d1.loss_dice: 0.7778, decode.d2.loss_cls: 0.2926, decode.d2.loss_mask: 0.4825, decode.d2.loss_dice: 0.7432, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2653, decode.d4.loss_mask: 0.4770, decode.d4.loss_dice: 0.7297, decode.d5.loss_cls: 0.2559, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.7283, decode.d6.loss_cls: 0.2513, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.7191, decode.d7.loss_cls: 0.2500, decode.d7.loss_mask: 0.4741, decode.d7.loss_dice: 0.7242, decode.d8.loss_cls: 0.2492, decode.d8.loss_mask: 0.4743, decode.d8.loss_dice: 0.7199, loss: 16.3448 2022-09-16 04:54:31,621 - mmseg - INFO - Iter [56250/80000] lr: 4.263e-07, eta: 13:18:28, time: 1.872, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2464, decode.loss_mask: 0.4769, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.6546, decode.d0.loss_mask: 0.5165, decode.d0.loss_dice: 0.8203, decode.d1.loss_cls: 0.3323, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7819, decode.d2.loss_cls: 0.2908, decode.d2.loss_mask: 0.4879, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2723, decode.d3.loss_mask: 0.4859, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2597, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7298, decode.d5.loss_cls: 0.2529, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2521, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7235, decode.d7.loss_cls: 0.2454, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.7274, decode.d8.loss_cls: 0.2476, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7265, loss: 16.3665 2022-09-16 04:56:06,273 - mmseg - INFO - Iter [56300/80000] lr: 4.254e-07, eta: 13:16:43, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2490, decode.loss_mask: 0.4670, decode.loss_dice: 0.7142, decode.d0.loss_cls: 1.6976, decode.d0.loss_mask: 0.5050, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3419, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2984, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7352, decode.d3.loss_cls: 0.2743, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7211, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4717, decode.d4.loss_dice: 0.7164, decode.d5.loss_cls: 0.2588, decode.d5.loss_mask: 0.4698, decode.d5.loss_dice: 0.7159, decode.d6.loss_cls: 0.2550, decode.d6.loss_mask: 0.4704, decode.d6.loss_dice: 0.7150, decode.d7.loss_cls: 0.2502, decode.d7.loss_mask: 0.4689, decode.d7.loss_dice: 0.7129, decode.d8.loss_cls: 0.2499, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.7110, loss: 16.2068 2022-09-16 04:57:39,446 - mmseg - INFO - Iter [56350/80000] lr: 4.245e-07, eta: 13:14:56, time: 1.863, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2493, decode.loss_mask: 0.4772, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.6768, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.8093, decode.d1.loss_cls: 0.3429, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2944, decode.d2.loss_mask: 0.4852, decode.d2.loss_dice: 0.7326, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2530, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.7176, decode.d6.loss_cls: 0.2555, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2546, decode.d7.loss_mask: 0.4745, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.2508, decode.d8.loss_mask: 0.4771, decode.d8.loss_dice: 0.7070, loss: 16.2334 2022-09-16 04:59:13,400 - mmseg - INFO - Iter [56400/80000] lr: 4.236e-07, eta: 13:13:10, time: 1.877, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2573, decode.loss_mask: 0.4777, decode.loss_dice: 0.7284, decode.d0.loss_cls: 1.7031, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.8299, decode.d1.loss_cls: 0.3429, decode.d1.loss_mask: 0.4971, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.4883, decode.d2.loss_dice: 0.7499, decode.d3.loss_cls: 0.2774, decode.d3.loss_mask: 0.4798, decode.d3.loss_dice: 0.7364, decode.d4.loss_cls: 0.2650, decode.d4.loss_mask: 0.4790, decode.d4.loss_dice: 0.7351, decode.d5.loss_cls: 0.2617, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7323, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2585, decode.d7.loss_mask: 0.4773, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2568, decode.d8.loss_mask: 0.4769, decode.d8.loss_dice: 0.7278, loss: 16.4828 2022-09-16 05:00:47,488 - mmseg - INFO - Iter [56450/80000] lr: 4.227e-07, eta: 13:11:25, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2400, decode.loss_mask: 0.4966, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.6573, decode.d0.loss_mask: 0.5307, decode.d0.loss_dice: 0.8303, decode.d1.loss_cls: 0.3271, decode.d1.loss_mask: 0.5244, decode.d1.loss_dice: 0.7774, decode.d2.loss_cls: 0.2793, decode.d2.loss_mask: 0.5112, decode.d2.loss_dice: 0.7521, decode.d3.loss_cls: 0.2681, decode.d3.loss_mask: 0.5026, decode.d3.loss_dice: 0.7350, decode.d4.loss_cls: 0.2546, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7324, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7343, decode.d6.loss_cls: 0.2433, decode.d6.loss_mask: 0.4965, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7291, decode.d8.loss_cls: 0.2370, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7298, loss: 16.5267 2022-09-16 05:02:22,532 - mmseg - INFO - Iter [56500/80000] lr: 4.218e-07, eta: 13:09:40, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2795, decode.loss_mask: 0.4810, decode.loss_dice: 0.6968, decode.d0.loss_cls: 1.7205, decode.d0.loss_mask: 0.5218, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3717, decode.d1.loss_mask: 0.5077, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.3236, decode.d2.loss_mask: 0.4948, decode.d2.loss_dice: 0.7288, decode.d3.loss_cls: 0.3094, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2973, decode.d4.loss_mask: 0.4844, decode.d4.loss_dice: 0.7034, decode.d5.loss_cls: 0.2876, decode.d5.loss_mask: 0.4831, decode.d5.loss_dice: 0.7044, decode.d6.loss_cls: 0.2875, decode.d6.loss_mask: 0.4818, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2818, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.6996, decode.d8.loss_cls: 0.2805, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.6985, loss: 16.5559 2022-09-16 05:03:56,740 - mmseg - INFO - Iter [56550/80000] lr: 4.209e-07, eta: 13:07:54, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2516, decode.loss_mask: 0.5036, decode.loss_dice: 0.7245, decode.d0.loss_cls: 1.6397, decode.d0.loss_mask: 0.5417, decode.d0.loss_dice: 0.8245, decode.d1.loss_cls: 0.3379, decode.d1.loss_mask: 0.5265, decode.d1.loss_dice: 0.7815, decode.d2.loss_cls: 0.2920, decode.d2.loss_mask: 0.5209, decode.d2.loss_dice: 0.7531, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.5135, decode.d3.loss_dice: 0.7375, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.5123, decode.d4.loss_dice: 0.7386, decode.d5.loss_cls: 0.2556, decode.d5.loss_mask: 0.5115, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7338, decode.d7.loss_cls: 0.2536, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7290, decode.d8.loss_cls: 0.2518, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7248, loss: 16.7096 2022-09-16 05:05:30,610 - mmseg - INFO - Iter [56600/80000] lr: 4.200e-07, eta: 13:06:08, time: 1.877, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2610, decode.loss_mask: 0.4863, decode.loss_dice: 0.7359, decode.d0.loss_cls: 1.6506, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8466, decode.d1.loss_cls: 0.3429, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3058, decode.d2.loss_mask: 0.4975, decode.d2.loss_dice: 0.7616, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7482, decode.d4.loss_cls: 0.2741, decode.d4.loss_mask: 0.4904, decode.d4.loss_dice: 0.7479, decode.d5.loss_cls: 0.2648, decode.d5.loss_mask: 0.4923, decode.d5.loss_dice: 0.7440, decode.d6.loss_cls: 0.2621, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7410, decode.d7.loss_cls: 0.2617, decode.d7.loss_mask: 0.4885, decode.d7.loss_dice: 0.7380, decode.d8.loss_cls: 0.2628, decode.d8.loss_mask: 0.4861, decode.d8.loss_dice: 0.7406, loss: 16.7353 2022-09-16 05:07:04,787 - mmseg - INFO - Iter [56650/80000] lr: 4.191e-07, eta: 13:04:23, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2631, decode.loss_mask: 0.4931, decode.loss_dice: 0.7298, decode.d0.loss_cls: 1.7106, decode.d0.loss_mask: 0.5287, decode.d0.loss_dice: 0.8329, decode.d1.loss_cls: 0.3572, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3101, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7565, decode.d3.loss_cls: 0.2830, decode.d3.loss_mask: 0.4984, decode.d3.loss_dice: 0.7426, decode.d4.loss_cls: 0.2793, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7423, decode.d5.loss_cls: 0.2713, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7393, decode.d6.loss_cls: 0.2694, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7316, decode.d7.loss_cls: 0.2674, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7320, decode.d8.loss_cls: 0.2630, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7310, loss: 16.8121 2022-09-16 05:08:39,023 - mmseg - INFO - Iter [56700/80000] lr: 4.182e-07, eta: 13:02:38, time: 1.885, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2467, decode.loss_mask: 0.4989, decode.loss_dice: 0.7375, decode.d0.loss_cls: 1.6751, decode.d0.loss_mask: 0.5382, decode.d0.loss_dice: 0.8380, decode.d1.loss_cls: 0.3419, decode.d1.loss_mask: 0.5237, decode.d1.loss_dice: 0.7906, decode.d2.loss_cls: 0.2958, decode.d2.loss_mask: 0.5097, decode.d2.loss_dice: 0.7615, decode.d3.loss_cls: 0.2798, decode.d3.loss_mask: 0.5042, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2680, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7522, decode.d5.loss_cls: 0.2650, decode.d5.loss_mask: 0.5038, decode.d5.loss_dice: 0.7427, decode.d6.loss_cls: 0.2528, decode.d6.loss_mask: 0.5016, decode.d6.loss_dice: 0.7371, decode.d7.loss_cls: 0.2533, decode.d7.loss_mask: 0.5009, decode.d7.loss_dice: 0.7394, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7421, loss: 16.8097 2022-09-16 05:10:13,507 - mmseg - INFO - Iter [56750/80000] lr: 4.173e-07, eta: 13:00:52, time: 1.890, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2443, decode.loss_mask: 0.4889, decode.loss_dice: 0.7060, decode.d0.loss_cls: 1.6398, decode.d0.loss_mask: 0.5273, decode.d0.loss_dice: 0.8091, decode.d1.loss_cls: 0.3287, decode.d1.loss_mask: 0.5189, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2878, decode.d2.loss_mask: 0.5022, decode.d2.loss_dice: 0.7273, decode.d3.loss_cls: 0.2726, decode.d3.loss_mask: 0.4939, decode.d3.loss_dice: 0.7144, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2506, decode.d5.loss_mask: 0.4981, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2475, decode.d7.loss_mask: 0.4911, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7077, loss: 16.2889 2022-09-16 05:11:47,654 - mmseg - INFO - Iter [56800/80000] lr: 4.164e-07, eta: 12:59:07, time: 1.881, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.4686, decode.loss_dice: 0.7141, decode.d0.loss_cls: 1.6945, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3404, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2973, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7415, decode.d3.loss_cls: 0.2825, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.7241, decode.d4.loss_cls: 0.2752, decode.d4.loss_mask: 0.4711, decode.d4.loss_dice: 0.7246, decode.d5.loss_cls: 0.2623, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2604, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2545, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7138, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7130, loss: 16.2931 2022-09-16 05:13:21,711 - mmseg - INFO - Iter [56850/80000] lr: 4.155e-07, eta: 12:57:21, time: 1.883, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2468, decode.loss_mask: 0.4876, decode.loss_dice: 0.7094, decode.d0.loss_cls: 1.6458, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8116, decode.d1.loss_cls: 0.3215, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7621, decode.d2.loss_cls: 0.2813, decode.d2.loss_mask: 0.4996, decode.d2.loss_dice: 0.7346, decode.d3.loss_cls: 0.2680, decode.d3.loss_mask: 0.4982, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7163, decode.d5.loss_cls: 0.2503, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7148, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.4912, decode.d6.loss_dice: 0.7087, decode.d7.loss_cls: 0.2457, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7119, decode.d8.loss_cls: 0.2449, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7142, loss: 16.2983 2022-09-16 05:14:59,147 - mmseg - INFO - Iter [56900/80000] lr: 4.146e-07, eta: 12:55:38, time: 1.949, data_time: 0.065, memory: 47124, decode.loss_cls: 0.2511, decode.loss_mask: 0.4905, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.6663, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3285, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.2955, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2754, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2635, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7273, decode.d5.loss_cls: 0.2567, decode.d5.loss_mask: 0.4948, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2553, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7186, decode.d7.loss_cls: 0.2468, decode.d7.loss_mask: 0.4923, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7193, loss: 16.4842 2022-09-16 05:16:33,615 - mmseg - INFO - Iter [56950/80000] lr: 4.137e-07, eta: 12:53:53, time: 1.889, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2354, decode.loss_mask: 0.4799, decode.loss_dice: 0.7112, decode.d0.loss_cls: 1.6668, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.8073, decode.d1.loss_cls: 0.3295, decode.d1.loss_mask: 0.5016, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2778, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2572, decode.d3.loss_mask: 0.4871, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2538, decode.d4.loss_mask: 0.4835, decode.d4.loss_dice: 0.7182, decode.d5.loss_cls: 0.2465, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2383, decode.d6.loss_mask: 0.4795, decode.d6.loss_dice: 0.7133, decode.d7.loss_cls: 0.2359, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7121, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.7137, loss: 16.1532 2022-09-16 05:18:07,150 - mmseg - INFO - Saving checkpoint at 57000 iterations 2022-09-16 05:18:39,358 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 05:18:39,366 - mmseg - INFO - Iter [57000/80000] lr: 4.128e-07, eta: 12:52:30, time: 2.512, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2284, decode.loss_mask: 0.4860, decode.loss_dice: 0.7038, decode.d0.loss_cls: 1.6250, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.8080, decode.d1.loss_cls: 0.3076, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7660, decode.d2.loss_cls: 0.2660, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7370, decode.d3.loss_cls: 0.2486, decode.d3.loss_mask: 0.4937, decode.d3.loss_dice: 0.7192, decode.d4.loss_cls: 0.2438, decode.d4.loss_mask: 0.4921, decode.d4.loss_dice: 0.7143, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7159, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4873, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7088, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.4879, decode.d8.loss_dice: 0.7124, loss: 16.1013 2022-09-16 05:20:14,782 - mmseg - INFO - Iter [57050/80000] lr: 4.119e-07, eta: 12:50:46, time: 1.911, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2520, decode.loss_mask: 0.4719, decode.loss_dice: 0.7166, decode.d0.loss_cls: 1.6578, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.8289, decode.d1.loss_cls: 0.3343, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7698, decode.d2.loss_cls: 0.2864, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.7416, decode.d3.loss_cls: 0.2695, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7278, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7233, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7192, decode.d7.loss_cls: 0.2528, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7186, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7182, loss: 16.2801 2022-09-16 05:21:48,736 - mmseg - INFO - Iter [57100/80000] lr: 4.110e-07, eta: 12:49:00, time: 1.879, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2409, decode.loss_mask: 0.4975, decode.loss_dice: 0.7096, decode.d0.loss_cls: 1.6969, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.8027, decode.d1.loss_cls: 0.3423, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2962, decode.d2.loss_mask: 0.5095, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2689, decode.d3.loss_mask: 0.5022, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7211, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4990, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2467, decode.d6.loss_mask: 0.4957, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2427, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2440, decode.d8.loss_mask: 0.4949, decode.d8.loss_dice: 0.7106, loss: 16.4330 2022-09-16 05:23:22,682 - mmseg - INFO - Iter [57150/80000] lr: 4.101e-07, eta: 12:47:15, time: 1.879, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2320, decode.loss_mask: 0.4757, decode.loss_dice: 0.7009, decode.d0.loss_cls: 1.6821, decode.d0.loss_mask: 0.5133, decode.d0.loss_dice: 0.8025, decode.d1.loss_cls: 0.3162, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2752, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2586, decode.d3.loss_mask: 0.4831, decode.d3.loss_dice: 0.7145, decode.d4.loss_cls: 0.2456, decode.d4.loss_mask: 0.4805, decode.d4.loss_dice: 0.7107, decode.d5.loss_cls: 0.2370, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7054, decode.d7.loss_cls: 0.2360, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.7042, decode.d8.loss_cls: 0.2344, decode.d8.loss_mask: 0.4749, decode.d8.loss_dice: 0.7069, loss: 16.0427 2022-09-16 05:24:56,460 - mmseg - INFO - Iter [57200/80000] lr: 4.092e-07, eta: 12:45:29, time: 1.876, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2522, decode.loss_mask: 0.4805, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.6915, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8301, decode.d1.loss_cls: 0.3451, decode.d1.loss_mask: 0.5050, decode.d1.loss_dice: 0.7793, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7452, decode.d3.loss_cls: 0.2804, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2693, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.4818, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2608, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7291, decode.d7.loss_cls: 0.2547, decode.d7.loss_mask: 0.4805, decode.d7.loss_dice: 0.7268, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7276, loss: 16.5232 2022-09-16 05:26:30,832 - mmseg - INFO - Iter [57250/80000] lr: 4.083e-07, eta: 12:43:44, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2447, decode.loss_mask: 0.4678, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.6601, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.8094, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7611, decode.d2.loss_cls: 0.2771, decode.d2.loss_mask: 0.4836, decode.d2.loss_dice: 0.7302, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7165, decode.d4.loss_cls: 0.2547, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2498, decode.d5.loss_mask: 0.4752, decode.d5.loss_dice: 0.7147, decode.d6.loss_cls: 0.2458, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7063, decode.d7.loss_cls: 0.2474, decode.d7.loss_mask: 0.4717, decode.d7.loss_dice: 0.7117, decode.d8.loss_cls: 0.2472, decode.d8.loss_mask: 0.4715, decode.d8.loss_dice: 0.7086, loss: 16.0859 2022-09-16 05:28:05,782 - mmseg - INFO - Iter [57300/80000] lr: 4.074e-07, eta: 12:41:59, time: 1.899, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2446, decode.loss_mask: 0.4931, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.6698, decode.d0.loss_mask: 0.5284, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3440, decode.d1.loss_mask: 0.5187, decode.d1.loss_dice: 0.7776, decode.d2.loss_cls: 0.2949, decode.d2.loss_mask: 0.5066, decode.d2.loss_dice: 0.7502, decode.d3.loss_cls: 0.2725, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7411, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4974, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7364, decode.d6.loss_cls: 0.2496, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7314, decode.d7.loss_cls: 0.2477, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2460, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7337, loss: 16.5999 2022-09-16 05:29:39,910 - mmseg - INFO - Iter [57350/80000] lr: 4.065e-07, eta: 12:40:14, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2461, decode.loss_mask: 0.4806, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.6441, decode.d0.loss_mask: 0.5250, decode.d0.loss_dice: 0.8255, decode.d1.loss_cls: 0.3330, decode.d1.loss_mask: 0.5115, decode.d1.loss_dice: 0.7821, decode.d2.loss_cls: 0.2892, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7439, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.4887, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2574, decode.d4.loss_mask: 0.4869, decode.d4.loss_dice: 0.7285, decode.d5.loss_cls: 0.2522, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7231, decode.d6.loss_cls: 0.2458, decode.d6.loss_mask: 0.4838, decode.d6.loss_dice: 0.7172, decode.d7.loss_cls: 0.2456, decode.d7.loss_mask: 0.4817, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4816, decode.d8.loss_dice: 0.7178, loss: 16.3397 2022-09-16 05:31:14,341 - mmseg - INFO - Iter [57400/80000] lr: 4.056e-07, eta: 12:38:29, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2534, decode.loss_mask: 0.4834, decode.loss_dice: 0.7159, decode.d0.loss_cls: 1.6747, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.8164, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5044, decode.d1.loss_dice: 0.7644, decode.d2.loss_cls: 0.3017, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7399, decode.d3.loss_cls: 0.2768, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7300, decode.d4.loss_cls: 0.2714, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7228, decode.d5.loss_cls: 0.2592, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7209, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.4840, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2572, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2553, decode.d8.loss_mask: 0.4825, decode.d8.loss_dice: 0.7145, loss: 16.4215 2022-09-16 05:32:48,472 - mmseg - INFO - Iter [57450/80000] lr: 4.047e-07, eta: 12:36:44, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2568, decode.loss_mask: 0.4550, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.7055, decode.d0.loss_mask: 0.4858, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3464, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7586, decode.d2.loss_cls: 0.3031, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.7254, decode.d3.loss_cls: 0.2804, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2762, decode.d4.loss_mask: 0.4583, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2614, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2664, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2536, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.7071, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.7075, loss: 16.1044 2022-09-16 05:34:22,297 - mmseg - INFO - Iter [57500/80000] lr: 4.038e-07, eta: 12:34:59, time: 1.877, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2407, decode.loss_mask: 0.4967, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.6423, decode.d0.loss_mask: 0.5351, decode.d0.loss_dice: 0.8249, decode.d1.loss_cls: 0.3282, decode.d1.loss_mask: 0.5218, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.2853, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7448, decode.d3.loss_cls: 0.2594, decode.d3.loss_mask: 0.5034, decode.d3.loss_dice: 0.7374, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7297, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4980, decode.d5.loss_dice: 0.7273, decode.d6.loss_cls: 0.2384, decode.d6.loss_mask: 0.4969, decode.d6.loss_dice: 0.7278, decode.d7.loss_cls: 0.2418, decode.d7.loss_mask: 0.4956, decode.d7.loss_dice: 0.7231, decode.d8.loss_cls: 0.2417, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7200, loss: 16.4592 2022-09-16 05:35:58,062 - mmseg - INFO - Iter [57550/80000] lr: 4.029e-07, eta: 12:33:15, time: 1.915, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2478, decode.loss_mask: 0.4968, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.6900, decode.d0.loss_mask: 0.5391, decode.d0.loss_dice: 0.8292, decode.d1.loss_cls: 0.3476, decode.d1.loss_mask: 0.5232, decode.d1.loss_dice: 0.7757, decode.d2.loss_cls: 0.2984, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7457, decode.d3.loss_cls: 0.2721, decode.d3.loss_mask: 0.5003, decode.d3.loss_dice: 0.7372, decode.d4.loss_cls: 0.2666, decode.d4.loss_mask: 0.5010, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2608, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2497, decode.d6.loss_mask: 0.4996, decode.d6.loss_dice: 0.7242, decode.d7.loss_cls: 0.2484, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7283, decode.d8.loss_cls: 0.2475, decode.d8.loss_mask: 0.4979, decode.d8.loss_dice: 0.7252, loss: 16.6426 2022-09-16 05:37:33,258 - mmseg - INFO - Iter [57600/80000] lr: 4.020e-07, eta: 12:31:31, time: 1.904, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2535, decode.loss_mask: 0.5013, decode.loss_dice: 0.7009, decode.d0.loss_cls: 1.6527, decode.d0.loss_mask: 0.5352, decode.d0.loss_dice: 0.7997, decode.d1.loss_cls: 0.3426, decode.d1.loss_mask: 0.5240, decode.d1.loss_dice: 0.7532, decode.d2.loss_cls: 0.2964, decode.d2.loss_mask: 0.5127, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2785, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7176, decode.d4.loss_cls: 0.2720, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2653, decode.d5.loss_mask: 0.5058, decode.d5.loss_dice: 0.7131, decode.d6.loss_cls: 0.2545, decode.d6.loss_mask: 0.5013, decode.d6.loss_dice: 0.7057, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7021, decode.d8.loss_cls: 0.2601, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7030, loss: 16.4650 2022-09-16 05:39:07,470 - mmseg - INFO - Iter [57650/80000] lr: 4.011e-07, eta: 12:29:46, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2673, decode.loss_mask: 0.4803, decode.loss_dice: 0.7156, decode.d0.loss_cls: 1.7120, decode.d0.loss_mask: 0.5210, decode.d0.loss_dice: 0.8212, decode.d1.loss_cls: 0.3562, decode.d1.loss_mask: 0.5088, decode.d1.loss_dice: 0.7739, decode.d2.loss_cls: 0.3101, decode.d2.loss_mask: 0.4911, decode.d2.loss_dice: 0.7357, decode.d3.loss_cls: 0.2847, decode.d3.loss_mask: 0.4910, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.2819, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7222, decode.d5.loss_cls: 0.2763, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7229, decode.d6.loss_cls: 0.2783, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2676, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.7159, decode.d8.loss_cls: 0.2663, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7185, loss: 16.5707 2022-09-16 05:40:42,037 - mmseg - INFO - Iter [57700/80000] lr: 4.002e-07, eta: 12:28:01, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2615, decode.loss_mask: 0.4914, decode.loss_dice: 0.7363, decode.d0.loss_cls: 1.6846, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8377, decode.d1.loss_cls: 0.3536, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7932, decode.d2.loss_cls: 0.3068, decode.d2.loss_mask: 0.5013, decode.d2.loss_dice: 0.7569, decode.d3.loss_cls: 0.2859, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7480, decode.d4.loss_cls: 0.2772, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7419, decode.d5.loss_cls: 0.2735, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7369, decode.d6.loss_cls: 0.2663, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7362, decode.d7.loss_cls: 0.2662, decode.d7.loss_mask: 0.4907, decode.d7.loss_dice: 0.7337, decode.d8.loss_cls: 0.2644, decode.d8.loss_mask: 0.4904, decode.d8.loss_dice: 0.7334, loss: 16.7817 2022-09-16 05:42:15,038 - mmseg - INFO - Iter [57750/80000] lr: 3.993e-07, eta: 12:26:15, time: 1.858, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2466, decode.loss_mask: 0.4812, decode.loss_dice: 0.7108, decode.d0.loss_cls: 1.6434, decode.d0.loss_mask: 0.5167, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3314, decode.d1.loss_mask: 0.5024, decode.d1.loss_dice: 0.7706, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.4942, decode.d2.loss_dice: 0.7378, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.4836, decode.d3.loss_dice: 0.7230, decode.d4.loss_cls: 0.2620, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7189, decode.d6.loss_cls: 0.2573, decode.d6.loss_mask: 0.4796, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2465, decode.d8.loss_mask: 0.4803, decode.d8.loss_dice: 0.7155, loss: 16.2721 2022-09-16 05:43:48,463 - mmseg - INFO - Iter [57800/80000] lr: 3.985e-07, eta: 12:24:30, time: 1.871, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2654, decode.loss_mask: 0.4827, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.6916, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.8334, decode.d1.loss_cls: 0.3500, decode.d1.loss_mask: 0.5126, decode.d1.loss_dice: 0.7774, decode.d2.loss_cls: 0.3075, decode.d2.loss_mask: 0.4927, decode.d2.loss_dice: 0.7448, decode.d3.loss_cls: 0.2914, decode.d3.loss_mask: 0.4903, decode.d3.loss_dice: 0.7314, decode.d4.loss_cls: 0.2824, decode.d4.loss_mask: 0.4848, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2743, decode.d5.loss_mask: 0.4848, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2704, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2633, decode.d7.loss_mask: 0.4829, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2637, decode.d8.loss_mask: 0.4833, decode.d8.loss_dice: 0.7187, loss: 16.5960 2022-09-16 05:45:22,429 - mmseg - INFO - Iter [57850/80000] lr: 3.976e-07, eta: 12:22:45, time: 1.879, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2525, decode.loss_mask: 0.4847, decode.loss_dice: 0.7150, decode.d0.loss_cls: 1.6767, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8192, decode.d1.loss_cls: 0.3449, decode.d1.loss_mask: 0.5130, decode.d1.loss_dice: 0.7635, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.4988, decode.d2.loss_dice: 0.7417, decode.d3.loss_cls: 0.2773, decode.d3.loss_mask: 0.4917, decode.d3.loss_dice: 0.7258, decode.d4.loss_cls: 0.2666, decode.d4.loss_mask: 0.4913, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2667, decode.d5.loss_mask: 0.4891, decode.d5.loss_dice: 0.7139, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2584, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7137, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7166, loss: 16.4395 2022-09-16 05:46:56,668 - mmseg - INFO - Iter [57900/80000] lr: 3.967e-07, eta: 12:21:00, time: 1.885, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2501, decode.loss_mask: 0.4941, decode.loss_dice: 0.7092, decode.d0.loss_cls: 1.6493, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8027, decode.d1.loss_cls: 0.3269, decode.d1.loss_mask: 0.5151, decode.d1.loss_dice: 0.7509, decode.d2.loss_cls: 0.2901, decode.d2.loss_mask: 0.5019, decode.d2.loss_dice: 0.7332, decode.d3.loss_cls: 0.2692, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2586, decode.d4.loss_mask: 0.4956, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7152, decode.d6.loss_cls: 0.2529, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2522, decode.d7.loss_mask: 0.4920, decode.d7.loss_dice: 0.7082, decode.d8.loss_cls: 0.2507, decode.d8.loss_mask: 0.4919, decode.d8.loss_dice: 0.7096, loss: 16.3239 2022-09-16 05:48:30,898 - mmseg - INFO - Iter [57950/80000] lr: 3.958e-07, eta: 12:19:16, time: 1.885, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2517, decode.loss_mask: 0.4872, decode.loss_dice: 0.7173, decode.d0.loss_cls: 1.6195, decode.d0.loss_mask: 0.5326, decode.d0.loss_dice: 0.8299, decode.d1.loss_cls: 0.3348, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.7722, decode.d2.loss_cls: 0.2918, decode.d2.loss_mask: 0.5037, decode.d2.loss_dice: 0.7454, decode.d3.loss_cls: 0.2747, decode.d3.loss_mask: 0.4963, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2645, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7270, decode.d5.loss_cls: 0.2580, decode.d5.loss_mask: 0.4920, decode.d5.loss_dice: 0.7282, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.4912, decode.d6.loss_dice: 0.7186, decode.d7.loss_cls: 0.2488, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7186, loss: 16.4440 2022-09-16 05:50:04,847 - mmseg - INFO - Saving checkpoint at 58000 iterations 2022-09-16 05:50:35,265 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 05:50:35,270 - mmseg - INFO - Iter [58000/80000] lr: 3.949e-07, eta: 12:17:50, time: 2.486, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2506, decode.loss_mask: 0.4723, decode.loss_dice: 0.7208, decode.d0.loss_cls: 1.6845, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8201, decode.d1.loss_cls: 0.3391, decode.d1.loss_mask: 0.5033, decode.d1.loss_dice: 0.7803, decode.d2.loss_cls: 0.2987, decode.d2.loss_mask: 0.4872, decode.d2.loss_dice: 0.7458, decode.d3.loss_cls: 0.2811, decode.d3.loss_mask: 0.4821, decode.d3.loss_dice: 0.7308, decode.d4.loss_cls: 0.2724, decode.d4.loss_mask: 0.4796, decode.d4.loss_dice: 0.7307, decode.d5.loss_cls: 0.2659, decode.d5.loss_mask: 0.4753, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.4735, decode.d6.loss_dice: 0.7191, decode.d7.loss_cls: 0.2583, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.7208, decode.d8.loss_cls: 0.2539, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.7204, loss: 16.4133 2022-09-16 05:52:10,225 - mmseg - INFO - Iter [58050/80000] lr: 3.940e-07, eta: 12:16:06, time: 1.901, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2635, decode.loss_mask: 0.4966, decode.loss_dice: 0.7271, decode.d0.loss_cls: 1.7061, decode.d0.loss_mask: 0.5346, decode.d0.loss_dice: 0.8411, decode.d1.loss_cls: 0.3536, decode.d1.loss_mask: 0.5212, decode.d1.loss_dice: 0.7869, decode.d2.loss_cls: 0.3036, decode.d2.loss_mask: 0.5103, decode.d2.loss_dice: 0.7568, decode.d3.loss_cls: 0.2872, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7393, decode.d4.loss_cls: 0.2799, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2737, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7331, decode.d6.loss_cls: 0.2634, decode.d6.loss_mask: 0.4996, decode.d6.loss_dice: 0.7287, decode.d7.loss_cls: 0.2661, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.7285, decode.d8.loss_cls: 0.2655, decode.d8.loss_mask: 0.4973, decode.d8.loss_dice: 0.7267, loss: 16.8193 2022-09-16 05:53:45,460 - mmseg - INFO - Iter [58100/80000] lr: 3.931e-07, eta: 12:14:22, time: 1.905, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2503, decode.loss_mask: 0.4967, decode.loss_dice: 0.7334, decode.d0.loss_cls: 1.6711, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8342, decode.d1.loss_cls: 0.3407, decode.d1.loss_mask: 0.5165, decode.d1.loss_dice: 0.7819, decode.d2.loss_cls: 0.2956, decode.d2.loss_mask: 0.5060, decode.d2.loss_dice: 0.7574, decode.d3.loss_cls: 0.2773, decode.d3.loss_mask: 0.5026, decode.d3.loss_dice: 0.7422, decode.d4.loss_cls: 0.2626, decode.d4.loss_mask: 0.5013, decode.d4.loss_dice: 0.7405, decode.d5.loss_cls: 0.2586, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7386, decode.d6.loss_cls: 0.2584, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7344, decode.d7.loss_cls: 0.2546, decode.d7.loss_mask: 0.4970, decode.d7.loss_dice: 0.7369, decode.d8.loss_cls: 0.2525, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7345, loss: 16.7008 2022-09-16 05:55:22,924 - mmseg - INFO - Iter [58150/80000] lr: 3.922e-07, eta: 12:12:40, time: 1.949, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2404, decode.loss_mask: 0.4739, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.6094, decode.d0.loss_mask: 0.5163, decode.d0.loss_dice: 0.7923, decode.d1.loss_cls: 0.3307, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7455, decode.d2.loss_cls: 0.2804, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7125, decode.d3.loss_cls: 0.2683, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7017, decode.d4.loss_cls: 0.2533, decode.d4.loss_mask: 0.4795, decode.d4.loss_dice: 0.7041, decode.d5.loss_cls: 0.2526, decode.d5.loss_mask: 0.4774, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.4744, decode.d6.loss_dice: 0.6941, decode.d7.loss_cls: 0.2413, decode.d7.loss_mask: 0.4730, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.2414, decode.d8.loss_mask: 0.4748, decode.d8.loss_dice: 0.6935, loss: 15.9169 2022-09-16 05:56:56,077 - mmseg - INFO - Iter [58200/80000] lr: 3.913e-07, eta: 12:10:54, time: 1.863, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2397, decode.loss_mask: 0.4641, decode.loss_dice: 0.7028, decode.d0.loss_cls: 1.7106, decode.d0.loss_mask: 0.5058, decode.d0.loss_dice: 0.7986, decode.d1.loss_cls: 0.3208, decode.d1.loss_mask: 0.4901, decode.d1.loss_dice: 0.7592, decode.d2.loss_cls: 0.2773, decode.d2.loss_mask: 0.4750, decode.d2.loss_dice: 0.7283, decode.d3.loss_cls: 0.2658, decode.d3.loss_mask: 0.4711, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2467, decode.d5.loss_mask: 0.4667, decode.d5.loss_dice: 0.7138, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2427, decode.d7.loss_mask: 0.4655, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.2430, decode.d8.loss_mask: 0.4635, decode.d8.loss_dice: 0.7042, loss: 16.0362 2022-09-16 05:58:29,690 - mmseg - INFO - Iter [58250/80000] lr: 3.904e-07, eta: 12:09:09, time: 1.872, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2473, decode.loss_mask: 0.5169, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.6718, decode.d0.loss_mask: 0.5523, decode.d0.loss_dice: 0.8338, decode.d1.loss_cls: 0.3311, decode.d1.loss_mask: 0.5407, decode.d1.loss_dice: 0.7789, decode.d2.loss_cls: 0.2961, decode.d2.loss_mask: 0.5273, decode.d2.loss_dice: 0.7544, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.5247, decode.d3.loss_dice: 0.7453, decode.d4.loss_cls: 0.2644, decode.d4.loss_mask: 0.5237, decode.d4.loss_dice: 0.7430, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.5207, decode.d5.loss_dice: 0.7377, decode.d6.loss_cls: 0.2478, decode.d6.loss_mask: 0.5189, decode.d6.loss_dice: 0.7339, decode.d7.loss_cls: 0.2528, decode.d7.loss_mask: 0.5162, decode.d7.loss_dice: 0.7305, decode.d8.loss_cls: 0.2470, decode.d8.loss_mask: 0.5162, decode.d8.loss_dice: 0.7295, loss: 16.8702 2022-09-16 06:00:07,803 - mmseg - INFO - Iter [58300/80000] lr: 3.895e-07, eta: 12:07:27, time: 1.962, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2217, decode.loss_mask: 0.4875, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.6371, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.3162, decode.d1.loss_mask: 0.5107, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2647, decode.d2.loss_mask: 0.4994, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2479, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7098, decode.d4.loss_cls: 0.2375, decode.d4.loss_mask: 0.4936, decode.d4.loss_dice: 0.7096, decode.d5.loss_cls: 0.2351, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2286, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7034, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7019, loss: 16.0168 2022-09-16 06:01:42,162 - mmseg - INFO - Iter [58350/80000] lr: 3.886e-07, eta: 12:05:43, time: 1.888, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2391, decode.loss_mask: 0.4701, decode.loss_dice: 0.7201, decode.d0.loss_cls: 1.6813, decode.d0.loss_mask: 0.5039, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3337, decode.d1.loss_mask: 0.4954, decode.d1.loss_dice: 0.7760, decode.d2.loss_cls: 0.2845, decode.d2.loss_mask: 0.4803, decode.d2.loss_dice: 0.7386, decode.d3.loss_cls: 0.2671, decode.d3.loss_mask: 0.4749, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2564, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2492, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2471, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.7229, decode.d7.loss_cls: 0.2382, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.7156, decode.d8.loss_cls: 0.2398, decode.d8.loss_mask: 0.4692, decode.d8.loss_dice: 0.7182, loss: 16.2190 2022-09-16 06:03:17,759 - mmseg - INFO - Iter [58400/80000] lr: 3.877e-07, eta: 12:03:59, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2423, decode.loss_mask: 0.4776, decode.loss_dice: 0.7065, decode.d0.loss_cls: 1.6324, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3245, decode.d1.loss_mask: 0.5023, decode.d1.loss_dice: 0.7612, decode.d2.loss_cls: 0.2796, decode.d2.loss_mask: 0.4908, decode.d2.loss_dice: 0.7341, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7201, decode.d4.loss_cls: 0.2558, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2527, decode.d5.loss_mask: 0.4794, decode.d5.loss_dice: 0.7153, decode.d6.loss_cls: 0.2488, decode.d6.loss_mask: 0.4772, decode.d6.loss_dice: 0.7126, decode.d7.loss_cls: 0.2448, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7065, decode.d8.loss_cls: 0.2458, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7058, loss: 16.1361 2022-09-16 06:04:52,664 - mmseg - INFO - Iter [58450/80000] lr: 3.868e-07, eta: 12:02:15, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2331, decode.loss_mask: 0.4913, decode.loss_dice: 0.7182, decode.d0.loss_cls: 1.6160, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8088, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.5170, decode.d1.loss_dice: 0.7673, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.5025, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4966, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4941, decode.d4.loss_dice: 0.7309, decode.d5.loss_cls: 0.2324, decode.d5.loss_mask: 0.4937, decode.d5.loss_dice: 0.7262, decode.d6.loss_cls: 0.2368, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7185, decode.d7.loss_cls: 0.2312, decode.d7.loss_mask: 0.4907, decode.d7.loss_dice: 0.7231, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7211, loss: 16.2340 2022-09-16 06:06:26,806 - mmseg - INFO - Iter [58500/80000] lr: 3.859e-07, eta: 12:00:30, time: 1.883, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2429, decode.loss_mask: 0.5048, decode.loss_dice: 0.7193, decode.d0.loss_cls: 1.6243, decode.d0.loss_mask: 0.5434, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3289, decode.d1.loss_mask: 0.5293, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2849, decode.d2.loss_mask: 0.5141, decode.d2.loss_dice: 0.7390, decode.d3.loss_cls: 0.2697, decode.d3.loss_mask: 0.5118, decode.d3.loss_dice: 0.7338, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.5089, decode.d4.loss_dice: 0.7309, decode.d5.loss_cls: 0.2523, decode.d5.loss_mask: 0.5044, decode.d5.loss_dice: 0.7271, decode.d6.loss_cls: 0.2469, decode.d6.loss_mask: 0.5045, decode.d6.loss_dice: 0.7212, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.5044, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2411, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7207, loss: 16.5235 2022-09-16 06:08:00,857 - mmseg - INFO - Iter [58550/80000] lr: 3.850e-07, eta: 11:58:46, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2394, decode.loss_mask: 0.4964, decode.loss_dice: 0.7154, decode.d0.loss_cls: 1.6420, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8111, decode.d1.loss_cls: 0.3268, decode.d1.loss_mask: 0.5205, decode.d1.loss_dice: 0.7567, decode.d2.loss_cls: 0.2803, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7346, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.5021, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.5037, decode.d4.loss_dice: 0.7263, decode.d5.loss_cls: 0.2488, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7230, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7219, decode.d7.loss_cls: 0.2472, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7163, decode.d8.loss_cls: 0.2395, decode.d8.loss_mask: 0.4961, decode.d8.loss_dice: 0.7173, loss: 16.3926 2022-09-16 06:09:36,405 - mmseg - INFO - Iter [58600/80000] lr: 3.841e-07, eta: 11:57:02, time: 1.911, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2295, decode.loss_mask: 0.4702, decode.loss_dice: 0.6906, decode.d0.loss_cls: 1.6220, decode.d0.loss_mask: 0.5085, decode.d0.loss_dice: 0.7834, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.4951, decode.d1.loss_dice: 0.7386, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7164, decode.d3.loss_cls: 0.2502, decode.d3.loss_mask: 0.4777, decode.d3.loss_dice: 0.7013, decode.d4.loss_cls: 0.2409, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.2365, decode.d6.loss_mask: 0.4711, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.2305, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.2320, decode.d8.loss_mask: 0.4694, decode.d8.loss_dice: 0.6897, loss: 15.7609 2022-09-16 06:11:10,830 - mmseg - INFO - Iter [58650/80000] lr: 3.832e-07, eta: 11:55:18, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2379, decode.loss_mask: 0.4804, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.6481, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.8157, decode.d1.loss_cls: 0.3357, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2895, decode.d2.loss_mask: 0.4908, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2681, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.7184, decode.d4.loss_cls: 0.2544, decode.d4.loss_mask: 0.4837, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2469, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7086, decode.d7.loss_cls: 0.2473, decode.d7.loss_mask: 0.4781, decode.d7.loss_dice: 0.7053, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7108, loss: 16.2132 2022-09-16 06:12:45,334 - mmseg - INFO - Iter [58700/80000] lr: 3.823e-07, eta: 11:53:34, time: 1.890, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2352, decode.loss_mask: 0.4882, decode.loss_dice: 0.7208, decode.d0.loss_cls: 1.6707, decode.d0.loss_mask: 0.5256, decode.d0.loss_dice: 0.8243, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.5126, decode.d1.loss_dice: 0.7730, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2630, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7259, decode.d4.loss_cls: 0.2552, decode.d4.loss_mask: 0.4937, decode.d4.loss_dice: 0.7273, decode.d5.loss_cls: 0.2484, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2427, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7236, decode.d7.loss_cls: 0.2426, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7205, decode.d8.loss_cls: 0.2355, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7239, loss: 16.3999 2022-09-16 06:14:17,757 - mmseg - INFO - Iter [58750/80000] lr: 3.814e-07, eta: 11:51:48, time: 1.848, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2511, decode.loss_mask: 0.4673, decode.loss_dice: 0.7144, decode.d0.loss_cls: 1.7029, decode.d0.loss_mask: 0.5055, decode.d0.loss_dice: 0.8218, decode.d1.loss_cls: 0.3498, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7664, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.4781, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2732, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2695, decode.d4.loss_mask: 0.4715, decode.d4.loss_dice: 0.7255, decode.d5.loss_cls: 0.2595, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7230, decode.d6.loss_cls: 0.2575, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.7171, decode.d7.loss_cls: 0.2544, decode.d7.loss_mask: 0.4662, decode.d7.loss_dice: 0.7164, decode.d8.loss_cls: 0.2533, decode.d8.loss_mask: 0.4671, decode.d8.loss_dice: 0.7173, loss: 16.2990 2022-09-16 06:15:51,903 - mmseg - INFO - Iter [58800/80000] lr: 3.805e-07, eta: 11:50:04, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2336, decode.loss_mask: 0.4845, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.6848, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.8195, decode.d1.loss_cls: 0.3382, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7679, decode.d2.loss_cls: 0.2894, decode.d2.loss_mask: 0.4970, decode.d2.loss_dice: 0.7417, decode.d3.loss_cls: 0.2628, decode.d3.loss_mask: 0.4899, decode.d3.loss_dice: 0.7318, decode.d4.loss_cls: 0.2548, decode.d4.loss_mask: 0.4887, decode.d4.loss_dice: 0.7276, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4858, decode.d5.loss_dice: 0.7246, decode.d6.loss_cls: 0.2384, decode.d6.loss_mask: 0.4853, decode.d6.loss_dice: 0.7183, decode.d7.loss_cls: 0.2378, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7148, decode.d8.loss_cls: 0.2367, decode.d8.loss_mask: 0.4829, decode.d8.loss_dice: 0.7171, loss: 16.3337 2022-09-16 06:17:25,545 - mmseg - INFO - Iter [58850/80000] lr: 3.796e-07, eta: 11:48:19, time: 1.873, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2593, decode.loss_mask: 0.4766, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.6365, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.8010, decode.d1.loss_cls: 0.3428, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7533, decode.d2.loss_cls: 0.2950, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7233, decode.d3.loss_cls: 0.2785, decode.d3.loss_mask: 0.4841, decode.d3.loss_dice: 0.7139, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.4812, decode.d4.loss_dice: 0.7140, decode.d5.loss_cls: 0.2604, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.2585, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2575, decode.d8.loss_mask: 0.4769, decode.d8.loss_dice: 0.7040, loss: 16.1985 2022-09-16 06:19:00,504 - mmseg - INFO - Iter [58900/80000] lr: 3.787e-07, eta: 11:46:35, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2544, decode.loss_mask: 0.4818, decode.loss_dice: 0.7301, decode.d0.loss_cls: 1.6929, decode.d0.loss_mask: 0.5141, decode.d0.loss_dice: 0.8315, decode.d1.loss_cls: 0.3456, decode.d1.loss_mask: 0.5041, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.3014, decode.d2.loss_mask: 0.4934, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.4881, decode.d3.loss_dice: 0.7481, decode.d4.loss_cls: 0.2769, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7422, decode.d5.loss_cls: 0.2626, decode.d5.loss_mask: 0.4851, decode.d5.loss_dice: 0.7401, decode.d6.loss_cls: 0.2626, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7330, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.7324, loss: 16.6279 2022-09-16 06:20:34,280 - mmseg - INFO - Iter [58950/80000] lr: 3.778e-07, eta: 11:44:51, time: 1.875, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2414, decode.loss_mask: 0.4959, decode.loss_dice: 0.7223, decode.d0.loss_cls: 1.6809, decode.d0.loss_mask: 0.5363, decode.d0.loss_dice: 0.8275, decode.d1.loss_cls: 0.3422, decode.d1.loss_mask: 0.5149, decode.d1.loss_dice: 0.7690, decode.d2.loss_cls: 0.2950, decode.d2.loss_mask: 0.5066, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2776, decode.d3.loss_mask: 0.5014, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2621, decode.d4.loss_mask: 0.5009, decode.d4.loss_dice: 0.7333, decode.d5.loss_cls: 0.2531, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.4973, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.4973, decode.d7.loss_dice: 0.7226, decode.d8.loss_cls: 0.2476, decode.d8.loss_mask: 0.4959, decode.d8.loss_dice: 0.7239, loss: 16.5663 2022-09-16 06:22:09,425 - mmseg - INFO - Saving checkpoint at 59000 iterations 2022-09-16 06:22:41,479 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 06:22:41,488 - mmseg - INFO - Iter [59000/80000] lr: 3.769e-07, eta: 11:43:26, time: 2.542, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2405, decode.loss_mask: 0.4905, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.6221, decode.d0.loss_mask: 0.5284, decode.d0.loss_dice: 0.8075, decode.d1.loss_cls: 0.3339, decode.d1.loss_mask: 0.5120, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2842, decode.d2.loss_mask: 0.5033, decode.d2.loss_dice: 0.7348, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2599, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7255, decode.d5.loss_cls: 0.2538, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2504, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7132, decode.d7.loss_cls: 0.2443, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7151, decode.d8.loss_cls: 0.2409, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7171, loss: 16.3359 2022-09-16 06:24:17,108 - mmseg - INFO - Iter [59050/80000] lr: 3.760e-07, eta: 11:41:43, time: 1.915, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2514, decode.loss_mask: 0.4851, decode.loss_dice: 0.6975, decode.d0.loss_cls: 1.6793, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3377, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7508, decode.d2.loss_cls: 0.2909, decode.d2.loss_mask: 0.4983, decode.d2.loss_dice: 0.7211, decode.d3.loss_cls: 0.2760, decode.d3.loss_mask: 0.4921, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7089, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4869, decode.d5.loss_dice: 0.7022, decode.d6.loss_cls: 0.2584, decode.d6.loss_mask: 0.4874, decode.d6.loss_dice: 0.6966, decode.d7.loss_cls: 0.2514, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.6958, decode.d8.loss_cls: 0.2481, decode.d8.loss_mask: 0.4861, decode.d8.loss_dice: 0.6995, loss: 16.2436 2022-09-16 06:25:51,396 - mmseg - INFO - Iter [59100/80000] lr: 3.751e-07, eta: 11:39:59, time: 1.886, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2420, decode.loss_mask: 0.4611, decode.loss_dice: 0.6974, decode.d0.loss_cls: 1.7052, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.8055, decode.d1.loss_cls: 0.3362, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7508, decode.d2.loss_cls: 0.2935, decode.d2.loss_mask: 0.4743, decode.d2.loss_dice: 0.7224, decode.d3.loss_cls: 0.2731, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2658, decode.d4.loss_mask: 0.4653, decode.d4.loss_dice: 0.7063, decode.d5.loss_cls: 0.2571, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.2456, decode.d6.loss_mask: 0.4631, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.2493, decode.d7.loss_mask: 0.4610, decode.d7.loss_dice: 0.6987, decode.d8.loss_cls: 0.2423, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.7000, loss: 16.0107 2022-09-16 06:27:24,941 - mmseg - INFO - Iter [59150/80000] lr: 3.742e-07, eta: 11:38:14, time: 1.871, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2375, decode.loss_mask: 0.4797, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.6467, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7882, decode.d1.loss_cls: 0.3070, decode.d1.loss_mask: 0.5035, decode.d1.loss_dice: 0.7443, decode.d2.loss_cls: 0.2668, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7240, decode.d3.loss_cls: 0.2546, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7111, decode.d4.loss_cls: 0.2452, decode.d4.loss_mask: 0.4844, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7003, decode.d6.loss_cls: 0.2405, decode.d6.loss_mask: 0.4800, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.2366, decode.d7.loss_mask: 0.4796, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.6987, loss: 15.9462 2022-09-16 06:28:59,866 - mmseg - INFO - Iter [59200/80000] lr: 3.733e-07, eta: 11:36:30, time: 1.892, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2652, decode.loss_mask: 0.4721, decode.loss_dice: 0.6968, decode.d0.loss_cls: 1.6763, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.8132, decode.d1.loss_cls: 0.3456, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7535, decode.d2.loss_cls: 0.3035, decode.d2.loss_mask: 0.4847, decode.d2.loss_dice: 0.7293, decode.d3.loss_cls: 0.2834, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7131, decode.d4.loss_cls: 0.2706, decode.d4.loss_mask: 0.4788, decode.d4.loss_dice: 0.7114, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7065, decode.d6.loss_cls: 0.2638, decode.d6.loss_mask: 0.4762, decode.d6.loss_dice: 0.7030, decode.d7.loss_cls: 0.2635, decode.d7.loss_mask: 0.4742, decode.d7.loss_dice: 0.6998, decode.d8.loss_cls: 0.2640, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.6992, loss: 16.2548 2022-09-16 06:30:33,763 - mmseg - INFO - Iter [59250/80000] lr: 3.724e-07, eta: 11:34:46, time: 1.885, data_time: 0.024, memory: 47124, decode.loss_cls: 0.2560, decode.loss_mask: 0.4728, decode.loss_dice: 0.7057, decode.d0.loss_cls: 1.6856, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.8052, decode.d1.loss_cls: 0.3521, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7532, decode.d2.loss_cls: 0.2970, decode.d2.loss_mask: 0.4853, decode.d2.loss_dice: 0.7307, decode.d3.loss_cls: 0.2812, decode.d3.loss_mask: 0.4842, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2750, decode.d4.loss_mask: 0.4792, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2631, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2628, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7117, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.2554, decode.d8.loss_mask: 0.4740, decode.d8.loss_dice: 0.7058, loss: 16.2779 2022-09-16 06:32:07,720 - mmseg - INFO - Iter [59300/80000] lr: 3.715e-07, eta: 11:33:02, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2426, decode.loss_mask: 0.4932, decode.loss_dice: 0.7062, decode.d0.loss_cls: 1.7124, decode.d0.loss_mask: 0.5327, decode.d0.loss_dice: 0.8157, decode.d1.loss_cls: 0.3403, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.7539, decode.d2.loss_cls: 0.2955, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7280, decode.d3.loss_cls: 0.2729, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7184, decode.d4.loss_cls: 0.2594, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7124, decode.d5.loss_cls: 0.2526, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7125, decode.d6.loss_cls: 0.2508, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2450, decode.d7.loss_mask: 0.4922, decode.d7.loss_dice: 0.7107, decode.d8.loss_cls: 0.2447, decode.d8.loss_mask: 0.4929, decode.d8.loss_dice: 0.7097, loss: 16.4189 2022-09-16 06:33:41,807 - mmseg - INFO - Iter [59350/80000] lr: 3.706e-07, eta: 11:31:18, time: 1.882, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2539, decode.loss_mask: 0.4787, decode.loss_dice: 0.7169, decode.d0.loss_cls: 1.6601, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3346, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7631, decode.d2.loss_cls: 0.2919, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7421, decode.d3.loss_cls: 0.2715, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7280, decode.d4.loss_cls: 0.2642, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7265, decode.d5.loss_cls: 0.2578, decode.d5.loss_mask: 0.4836, decode.d5.loss_dice: 0.7243, decode.d6.loss_cls: 0.2566, decode.d6.loss_mask: 0.4803, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.7155, decode.d8.loss_cls: 0.2538, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.7179, loss: 16.3592 2022-09-16 06:35:18,493 - mmseg - INFO - Iter [59400/80000] lr: 3.697e-07, eta: 11:29:35, time: 1.933, data_time: 0.067, memory: 47124, decode.loss_cls: 0.2584, decode.loss_mask: 0.4904, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.6117, decode.d0.loss_mask: 0.5272, decode.d0.loss_dice: 0.8156, decode.d1.loss_cls: 0.3472, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7533, decode.d2.loss_cls: 0.3046, decode.d2.loss_mask: 0.5047, decode.d2.loss_dice: 0.7328, decode.d3.loss_cls: 0.2827, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2708, decode.d4.loss_mask: 0.4987, decode.d4.loss_dice: 0.7205, decode.d5.loss_cls: 0.2648, decode.d5.loss_mask: 0.4977, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2621, decode.d6.loss_mask: 0.4945, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2600, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7131, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4916, decode.d8.loss_dice: 0.7107, loss: 16.4564 2022-09-16 06:36:50,850 - mmseg - INFO - Iter [59450/80000] lr: 3.688e-07, eta: 11:27:50, time: 1.848, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2417, decode.loss_mask: 0.5152, decode.loss_dice: 0.7152, decode.d0.loss_cls: 1.6426, decode.d0.loss_mask: 0.5558, decode.d0.loss_dice: 0.8060, decode.d1.loss_cls: 0.3169, decode.d1.loss_mask: 0.5466, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2824, decode.d2.loss_mask: 0.5279, decode.d2.loss_dice: 0.7351, decode.d3.loss_cls: 0.2598, decode.d3.loss_mask: 0.5285, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.5238, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2464, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7185, decode.d6.loss_cls: 0.2462, decode.d6.loss_mask: 0.5185, decode.d6.loss_dice: 0.7164, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7191, decode.d8.loss_cls: 0.2383, decode.d8.loss_mask: 0.5173, decode.d8.loss_dice: 0.7138, loss: 16.5912 2022-09-16 06:38:25,075 - mmseg - INFO - Iter [59500/80000] lr: 3.679e-07, eta: 11:26:06, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2522, decode.loss_mask: 0.4848, decode.loss_dice: 0.7200, decode.d0.loss_cls: 1.6589, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8333, decode.d1.loss_cls: 0.3525, decode.d1.loss_mask: 0.5120, decode.d1.loss_dice: 0.7842, decode.d2.loss_cls: 0.2925, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7516, decode.d3.loss_cls: 0.2734, decode.d3.loss_mask: 0.4947, decode.d3.loss_dice: 0.7379, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4941, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2537, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7327, decode.d6.loss_cls: 0.2532, decode.d6.loss_mask: 0.4869, decode.d6.loss_dice: 0.7245, decode.d7.loss_cls: 0.2470, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7276, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.4849, decode.d8.loss_dice: 0.7244, loss: 16.5323 2022-09-16 06:39:56,955 - mmseg - INFO - Iter [59550/80000] lr: 3.670e-07, eta: 11:24:21, time: 1.837, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2355, decode.loss_mask: 0.4837, decode.loss_dice: 0.6880, decode.d0.loss_cls: 1.6640, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.3232, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2766, decode.d2.loss_mask: 0.4992, decode.d2.loss_dice: 0.7196, decode.d3.loss_cls: 0.2593, decode.d3.loss_mask: 0.4928, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2543, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7021, decode.d5.loss_cls: 0.2440, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.6951, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.6916, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.4860, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.2365, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.6891, loss: 16.0404 2022-09-16 06:41:32,342 - mmseg - INFO - Iter [59600/80000] lr: 3.661e-07, eta: 11:22:38, time: 1.908, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2428, decode.loss_mask: 0.4643, decode.loss_dice: 0.7107, decode.d0.loss_cls: 1.6736, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.8094, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7676, decode.d2.loss_cls: 0.2833, decode.d2.loss_mask: 0.4771, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7199, decode.d5.loss_cls: 0.2501, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2498, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.7140, decode.d7.loss_cls: 0.2471, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2423, decode.d8.loss_mask: 0.4649, decode.d8.loss_dice: 0.7138, loss: 16.1104 2022-09-16 06:43:06,749 - mmseg - INFO - Iter [59650/80000] lr: 3.652e-07, eta: 11:20:54, time: 1.888, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2414, decode.loss_mask: 0.4805, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.6223, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.8034, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2826, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7326, decode.d3.loss_cls: 0.2680, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7188, decode.d4.loss_cls: 0.2587, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2506, decode.d5.loss_mask: 0.4826, decode.d5.loss_dice: 0.7121, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2453, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.7074, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7115, loss: 16.1424 2022-09-16 06:44:39,529 - mmseg - INFO - Iter [59700/80000] lr: 3.644e-07, eta: 11:19:09, time: 1.855, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2300, decode.loss_mask: 0.4736, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.6198, decode.d0.loss_mask: 0.5072, decode.d0.loss_dice: 0.7809, decode.d1.loss_cls: 0.3166, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7280, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.4820, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2555, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.6948, decode.d5.loss_cls: 0.2353, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.6893, decode.d7.loss_cls: 0.2346, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.6889, decode.d8.loss_cls: 0.2317, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.6929, loss: 15.7431 2022-09-16 06:46:14,661 - mmseg - INFO - Iter [59750/80000] lr: 3.635e-07, eta: 11:17:26, time: 1.903, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2382, decode.loss_mask: 0.4765, decode.loss_dice: 0.7197, decode.d0.loss_cls: 1.6587, decode.d0.loss_mask: 0.5151, decode.d0.loss_dice: 0.8247, decode.d1.loss_cls: 0.3292, decode.d1.loss_mask: 0.5005, decode.d1.loss_dice: 0.7672, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.4892, decode.d2.loss_dice: 0.7427, decode.d3.loss_cls: 0.2618, decode.d3.loss_mask: 0.4837, decode.d3.loss_dice: 0.7310, decode.d4.loss_cls: 0.2510, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7336, decode.d5.loss_cls: 0.2445, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7240, decode.d6.loss_cls: 0.2416, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.7214, decode.d7.loss_cls: 0.2414, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2428, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7195, loss: 16.2527 2022-09-16 06:47:48,601 - mmseg - INFO - Iter [59800/80000] lr: 3.626e-07, eta: 11:15:42, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2588, decode.loss_mask: 0.4867, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.7133, decode.d0.loss_mask: 0.5312, decode.d0.loss_dice: 0.8369, decode.d1.loss_cls: 0.3487, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7817, decode.d2.loss_cls: 0.3037, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2884, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7357, decode.d4.loss_cls: 0.2743, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2634, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7297, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.4879, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2549, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7234, decode.d8.loss_cls: 0.2546, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7199, loss: 16.6454 2022-09-16 06:49:23,367 - mmseg - INFO - Iter [59850/80000] lr: 3.617e-07, eta: 11:13:58, time: 1.895, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2352, decode.loss_mask: 0.4760, decode.loss_dice: 0.6862, decode.d0.loss_cls: 1.6056, decode.d0.loss_mask: 0.5096, decode.d0.loss_dice: 0.7881, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7395, decode.d2.loss_cls: 0.2751, decode.d2.loss_mask: 0.4846, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2523, decode.d3.loss_mask: 0.4830, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.2480, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.6982, decode.d5.loss_cls: 0.2422, decode.d5.loss_mask: 0.4766, decode.d5.loss_dice: 0.6906, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4774, decode.d6.loss_dice: 0.6901, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.6855, decode.d8.loss_cls: 0.2356, decode.d8.loss_mask: 0.4741, decode.d8.loss_dice: 0.6872, loss: 15.7955 2022-09-16 06:50:59,518 - mmseg - INFO - Iter [59900/80000] lr: 3.608e-07, eta: 11:12:16, time: 1.923, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2368, decode.loss_mask: 0.4693, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.6176, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.7880, decode.d1.loss_cls: 0.3139, decode.d1.loss_mask: 0.4996, decode.d1.loss_dice: 0.7422, decode.d2.loss_cls: 0.2724, decode.d2.loss_mask: 0.4855, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2541, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7038, decode.d4.loss_cls: 0.2480, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.7018, decode.d5.loss_cls: 0.2445, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2374, decode.d7.loss_mask: 0.4701, decode.d7.loss_dice: 0.6902, decode.d8.loss_cls: 0.2394, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.6889, loss: 15.8196 2022-09-16 06:52:34,513 - mmseg - INFO - Iter [59950/80000] lr: 3.599e-07, eta: 11:10:32, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2370, decode.loss_mask: 0.4993, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.6365, decode.d0.loss_mask: 0.5369, decode.d0.loss_dice: 0.8190, decode.d1.loss_cls: 0.3220, decode.d1.loss_mask: 0.5258, decode.d1.loss_dice: 0.7721, decode.d2.loss_cls: 0.2769, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2559, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7320, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.5052, decode.d4.loss_dice: 0.7286, decode.d5.loss_cls: 0.2458, decode.d5.loss_mask: 0.4999, decode.d5.loss_dice: 0.7245, decode.d6.loss_cls: 0.2423, decode.d6.loss_mask: 0.5008, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7221, decode.d8.loss_cls: 0.2429, decode.d8.loss_mask: 0.4996, decode.d8.loss_dice: 0.7178, loss: 16.4406 2022-09-16 06:54:09,363 - mmseg - INFO - Saving checkpoint at 60000 iterations 2022-09-16 06:54:41,144 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 06:54:41,152 - mmseg - INFO - Iter [60000/80000] lr: 3.590e-07, eta: 11:09:06, time: 2.530, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2408, decode.loss_mask: 0.4806, decode.loss_dice: 0.6958, decode.d0.loss_cls: 1.6498, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3338, decode.d1.loss_mask: 0.4996, decode.d1.loss_dice: 0.7506, decode.d2.loss_cls: 0.2776, decode.d2.loss_mask: 0.4925, decode.d2.loss_dice: 0.7239, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7131, decode.d4.loss_cls: 0.2538, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7089, decode.d5.loss_cls: 0.2516, decode.d5.loss_mask: 0.4806, decode.d5.loss_dice: 0.7013, decode.d6.loss_cls: 0.2476, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2432, decode.d7.loss_mask: 0.4810, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.2445, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7011, loss: 16.0965 2022-09-16 06:56:15,209 - mmseg - INFO - Iter [60050/80000] lr: 3.581e-07, eta: 11:07:23, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2332, decode.loss_mask: 0.4755, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.6601, decode.d0.loss_mask: 0.5197, decode.d0.loss_dice: 0.8008, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5006, decode.d1.loss_dice: 0.7521, decode.d2.loss_cls: 0.2707, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7204, decode.d3.loss_cls: 0.2580, decode.d3.loss_mask: 0.4864, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.4835, decode.d4.loss_dice: 0.7028, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4808, decode.d5.loss_dice: 0.7036, decode.d6.loss_cls: 0.2388, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.2370, decode.d7.loss_mask: 0.4771, decode.d7.loss_dice: 0.6969, decode.d8.loss_cls: 0.2369, decode.d8.loss_mask: 0.4780, decode.d8.loss_dice: 0.6943, loss: 15.9837 2022-09-16 06:57:49,457 - mmseg - INFO - Iter [60100/80000] lr: 3.572e-07, eta: 11:05:39, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2355, decode.loss_mask: 0.4700, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.6536, decode.d0.loss_mask: 0.5133, decode.d0.loss_dice: 0.8026, decode.d1.loss_cls: 0.3319, decode.d1.loss_mask: 0.4933, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2804, decode.d2.loss_mask: 0.4781, decode.d2.loss_dice: 0.7158, decode.d3.loss_cls: 0.2625, decode.d3.loss_mask: 0.4783, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7054, decode.d5.loss_cls: 0.2498, decode.d5.loss_mask: 0.4704, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2394, decode.d7.loss_mask: 0.4702, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2362, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.6940, loss: 15.9132 2022-09-16 06:59:23,837 - mmseg - INFO - Iter [60150/80000] lr: 3.563e-07, eta: 11:03:55, time: 1.888, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2462, decode.loss_mask: 0.4657, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.6936, decode.d0.loss_mask: 0.5069, decode.d0.loss_dice: 0.8099, decode.d1.loss_cls: 0.3359, decode.d1.loss_mask: 0.4938, decode.d1.loss_dice: 0.7605, decode.d2.loss_cls: 0.2884, decode.d2.loss_mask: 0.4811, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.7109, decode.d4.loss_cls: 0.2623, decode.d4.loss_mask: 0.4718, decode.d4.loss_dice: 0.7146, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4706, decode.d5.loss_dice: 0.7084, decode.d6.loss_cls: 0.2506, decode.d6.loss_mask: 0.4686, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2467, decode.d7.loss_mask: 0.4675, decode.d7.loss_dice: 0.7073, decode.d8.loss_cls: 0.2456, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.7012, loss: 16.1117 2022-09-16 07:00:57,451 - mmseg - INFO - Iter [60200/80000] lr: 3.554e-07, eta: 11:02:11, time: 1.872, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2529, decode.loss_mask: 0.4866, decode.loss_dice: 0.7193, decode.d0.loss_cls: 1.6489, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.8152, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5117, decode.d1.loss_dice: 0.7667, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.4991, decode.d2.loss_dice: 0.7405, decode.d3.loss_cls: 0.2804, decode.d3.loss_mask: 0.4947, decode.d3.loss_dice: 0.7305, decode.d4.loss_cls: 0.2666, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7276, decode.d5.loss_cls: 0.2616, decode.d5.loss_mask: 0.4905, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2605, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7165, decode.d7.loss_cls: 0.2539, decode.d7.loss_mask: 0.4881, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2535, decode.d8.loss_mask: 0.4884, decode.d8.loss_dice: 0.7193, loss: 16.4627 2022-09-16 07:02:31,563 - mmseg - INFO - Iter [60250/80000] lr: 3.545e-07, eta: 11:00:28, time: 1.882, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2310, decode.loss_mask: 0.4824, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.6118, decode.d0.loss_mask: 0.5217, decode.d0.loss_dice: 0.7975, decode.d1.loss_cls: 0.3138, decode.d1.loss_mask: 0.5061, decode.d1.loss_dice: 0.7556, decode.d2.loss_cls: 0.2742, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7269, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4883, decode.d3.loss_dice: 0.7143, decode.d4.loss_cls: 0.2458, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2439, decode.d5.loss_mask: 0.4859, decode.d5.loss_dice: 0.7054, decode.d6.loss_cls: 0.2342, decode.d6.loss_mask: 0.4849, decode.d6.loss_dice: 0.7002, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4840, decode.d7.loss_dice: 0.6992, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.6993, loss: 16.0012 2022-09-16 07:04:05,354 - mmseg - INFO - Iter [60300/80000] lr: 3.536e-07, eta: 10:58:44, time: 1.876, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2490, decode.loss_mask: 0.4915, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.5992, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8183, decode.d1.loss_cls: 0.3351, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.2821, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2679, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7325, decode.d4.loss_cls: 0.2585, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7290, decode.d5.loss_cls: 0.2527, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7312, decode.d6.loss_cls: 0.2533, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7226, decode.d7.loss_cls: 0.2503, decode.d7.loss_mask: 0.4933, decode.d7.loss_dice: 0.7209, decode.d8.loss_cls: 0.2501, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7243, loss: 16.4250 2022-09-16 07:05:38,551 - mmseg - INFO - Iter [60350/80000] lr: 3.527e-07, eta: 10:57:00, time: 1.864, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2702, decode.loss_mask: 0.4874, decode.loss_dice: 0.7234, decode.d0.loss_cls: 1.6798, decode.d0.loss_mask: 0.5230, decode.d0.loss_dice: 0.8321, decode.d1.loss_cls: 0.3665, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.7809, decode.d2.loss_cls: 0.3165, decode.d2.loss_mask: 0.4981, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.4943, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2901, decode.d4.loss_mask: 0.4914, decode.d4.loss_dice: 0.7347, decode.d5.loss_cls: 0.2810, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.7320, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.4859, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2724, decode.d7.loss_mask: 0.4869, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2684, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7259, loss: 16.7378 2022-09-16 07:07:13,643 - mmseg - INFO - Iter [60400/80000] lr: 3.518e-07, eta: 10:55:16, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2330, decode.loss_mask: 0.4886, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.6422, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.8154, decode.d1.loss_cls: 0.3210, decode.d1.loss_mask: 0.5149, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.5015, decode.d2.loss_dice: 0.7420, decode.d3.loss_cls: 0.2600, decode.d3.loss_mask: 0.4961, decode.d3.loss_dice: 0.7304, decode.d4.loss_cls: 0.2464, decode.d4.loss_mask: 0.4937, decode.d4.loss_dice: 0.7243, decode.d5.loss_cls: 0.2395, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7207, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7146, loss: 16.2646 2022-09-16 07:08:47,730 - mmseg - INFO - Iter [60450/80000] lr: 3.509e-07, eta: 10:53:33, time: 1.883, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2378, decode.loss_mask: 0.4872, decode.loss_dice: 0.7231, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.5199, decode.d0.loss_dice: 0.8139, decode.d1.loss_cls: 0.3150, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7709, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4962, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2550, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7316, decode.d4.loss_cls: 0.2448, decode.d4.loss_mask: 0.4888, decode.d4.loss_dice: 0.7253, decode.d5.loss_cls: 0.2448, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2418, decode.d6.loss_mask: 0.4874, decode.d6.loss_dice: 0.7249, decode.d7.loss_cls: 0.2443, decode.d7.loss_mask: 0.4869, decode.d7.loss_dice: 0.7246, decode.d8.loss_cls: 0.2406, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7198, loss: 16.2674 2022-09-16 07:10:21,927 - mmseg - INFO - Iter [60500/80000] lr: 3.500e-07, eta: 10:51:49, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2515, decode.loss_mask: 0.4871, decode.loss_dice: 0.7270, decode.d0.loss_cls: 1.6970, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8350, decode.d1.loss_cls: 0.3494, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7835, decode.d2.loss_cls: 0.2954, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7528, decode.d3.loss_cls: 0.2737, decode.d3.loss_mask: 0.4943, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2661, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2574, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7317, decode.d6.loss_cls: 0.2544, decode.d6.loss_mask: 0.4897, decode.d6.loss_dice: 0.7264, decode.d7.loss_cls: 0.2542, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7242, decode.d8.loss_cls: 0.2513, decode.d8.loss_mask: 0.4881, decode.d8.loss_dice: 0.7272, loss: 16.5963 2022-09-16 07:11:55,407 - mmseg - INFO - Iter [60550/80000] lr: 3.491e-07, eta: 10:50:05, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2468, decode.loss_mask: 0.4785, decode.loss_dice: 0.7263, decode.d0.loss_cls: 1.6691, decode.d0.loss_mask: 0.5229, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3379, decode.d1.loss_mask: 0.5006, decode.d1.loss_dice: 0.7773, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2722, decode.d3.loss_mask: 0.4837, decode.d3.loss_dice: 0.7350, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2510, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7289, decode.d6.loss_cls: 0.2516, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2430, decode.d7.loss_mask: 0.4780, decode.d7.loss_dice: 0.7259, decode.d8.loss_cls: 0.2488, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7257, loss: 16.4030 2022-09-16 07:13:30,569 - mmseg - INFO - Iter [60600/80000] lr: 3.482e-07, eta: 10:48:22, time: 1.903, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2549, decode.loss_mask: 0.4919, decode.loss_dice: 0.7094, decode.d0.loss_cls: 1.6806, decode.d0.loss_mask: 0.5367, decode.d0.loss_dice: 0.8174, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.5191, decode.d1.loss_dice: 0.7626, decode.d2.loss_cls: 0.2882, decode.d2.loss_mask: 0.5089, decode.d2.loss_dice: 0.7336, decode.d3.loss_cls: 0.2769, decode.d3.loss_mask: 0.5030, decode.d3.loss_dice: 0.7226, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.5002, decode.d4.loss_dice: 0.7215, decode.d5.loss_cls: 0.2611, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7129, decode.d6.loss_cls: 0.2604, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7114, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2534, decode.d8.loss_mask: 0.4939, decode.d8.loss_dice: 0.7096, loss: 16.4873 2022-09-16 07:15:04,905 - mmseg - INFO - Iter [60650/80000] lr: 3.473e-07, eta: 10:46:39, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2524, decode.loss_mask: 0.4927, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.6268, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8205, decode.d1.loss_cls: 0.3354, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7695, decode.d2.loss_cls: 0.2909, decode.d2.loss_mask: 0.5090, decode.d2.loss_dice: 0.7414, decode.d3.loss_cls: 0.2718, decode.d3.loss_mask: 0.5014, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2729, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2635, decode.d5.loss_mask: 0.4941, decode.d5.loss_dice: 0.7234, decode.d6.loss_cls: 0.2536, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7190, decode.d7.loss_cls: 0.2527, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2530, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7136, loss: 16.4641 2022-09-16 07:16:42,055 - mmseg - INFO - Iter [60700/80000] lr: 3.464e-07, eta: 10:44:57, time: 1.944, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2321, decode.loss_mask: 0.4846, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.6304, decode.d0.loss_mask: 0.5270, decode.d0.loss_dice: 0.8058, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.5071, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2708, decode.d2.loss_mask: 0.4989, decode.d2.loss_dice: 0.7347, decode.d3.loss_cls: 0.2591, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2496, decode.d4.loss_mask: 0.4891, decode.d4.loss_dice: 0.7197, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2349, decode.d6.loss_mask: 0.4880, decode.d6.loss_dice: 0.7058, decode.d7.loss_cls: 0.2317, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7089, decode.d8.loss_cls: 0.2331, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7027, loss: 16.1286 2022-09-16 07:18:15,644 - mmseg - INFO - Iter [60750/80000] lr: 3.455e-07, eta: 10:43:13, time: 1.872, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2392, decode.loss_mask: 0.4936, decode.loss_dice: 0.7120, decode.d0.loss_cls: 1.6538, decode.d0.loss_mask: 0.5305, decode.d0.loss_dice: 0.8214, decode.d1.loss_cls: 0.3275, decode.d1.loss_mask: 0.5171, decode.d1.loss_dice: 0.7697, decode.d2.loss_cls: 0.2779, decode.d2.loss_mask: 0.5045, decode.d2.loss_dice: 0.7357, decode.d3.loss_cls: 0.2546, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7201, decode.d4.loss_cls: 0.2448, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7260, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4969, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2356, decode.d7.loss_mask: 0.4949, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7112, loss: 16.3198 2022-09-16 07:19:49,281 - mmseg - INFO - Iter [60800/80000] lr: 3.446e-07, eta: 10:41:30, time: 1.873, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2452, decode.loss_mask: 0.4774, decode.loss_dice: 0.7160, decode.d0.loss_cls: 1.6372, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.8096, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.5041, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7402, decode.d3.loss_cls: 0.2767, decode.d3.loss_mask: 0.4840, decode.d3.loss_dice: 0.7234, decode.d4.loss_cls: 0.2558, decode.d4.loss_mask: 0.4844, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2534, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7232, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.7191, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2466, decode.d8.loss_mask: 0.4780, decode.d8.loss_dice: 0.7192, loss: 16.2725 2022-09-16 07:21:22,704 - mmseg - INFO - Iter [60850/80000] lr: 3.437e-07, eta: 10:39:46, time: 1.869, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2337, decode.loss_mask: 0.4744, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.6107, decode.d0.loss_mask: 0.5098, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7552, decode.d2.loss_cls: 0.2734, decode.d2.loss_mask: 0.4841, decode.d2.loss_dice: 0.7311, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4801, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2497, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2461, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7133, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.4751, decode.d6.loss_dice: 0.7071, decode.d7.loss_cls: 0.2407, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.7020, decode.d8.loss_cls: 0.2345, decode.d8.loss_mask: 0.4749, decode.d8.loss_dice: 0.7030, loss: 15.9840 2022-09-16 07:22:56,998 - mmseg - INFO - Iter [60900/80000] lr: 3.428e-07, eta: 10:38:03, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2298, decode.loss_mask: 0.4787, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.6902, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.3110, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7599, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7228, decode.d5.loss_cls: 0.2418, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.7164, decode.d6.loss_cls: 0.2324, decode.d6.loss_mask: 0.4805, decode.d6.loss_dice: 0.7170, decode.d7.loss_cls: 0.2286, decode.d7.loss_mask: 0.4800, decode.d7.loss_dice: 0.7148, decode.d8.loss_cls: 0.2322, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7116, loss: 16.1120 2022-09-16 07:24:31,080 - mmseg - INFO - Iter [60950/80000] lr: 3.419e-07, eta: 10:36:19, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2598, decode.loss_mask: 0.4666, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.6967, decode.d0.loss_mask: 0.5061, decode.d0.loss_dice: 0.8200, decode.d1.loss_cls: 0.3478, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7631, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2755, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7191, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.4720, decode.d5.loss_dice: 0.7147, decode.d6.loss_cls: 0.2650, decode.d6.loss_mask: 0.4696, decode.d6.loss_dice: 0.7070, decode.d7.loss_cls: 0.2605, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.7025, loss: 16.2825 2022-09-16 07:26:05,858 - mmseg - INFO - Saving checkpoint at 61000 iterations 2022-09-16 07:26:35,946 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 07:26:35,948 - mmseg - INFO - Iter [61000/80000] lr: 3.410e-07, eta: 10:34:52, time: 2.492, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2419, decode.loss_mask: 0.4801, decode.loss_dice: 0.7180, decode.d0.loss_cls: 1.6352, decode.d0.loss_mask: 0.5237, decode.d0.loss_dice: 0.8238, decode.d1.loss_cls: 0.3152, decode.d1.loss_mask: 0.5066, decode.d1.loss_dice: 0.7768, decode.d2.loss_cls: 0.2777, decode.d2.loss_mask: 0.4941, decode.d2.loss_dice: 0.7476, decode.d3.loss_cls: 0.2627, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7272, decode.d4.loss_cls: 0.2575, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7295, decode.d5.loss_cls: 0.2497, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.7233, decode.d6.loss_cls: 0.2474, decode.d6.loss_mask: 0.4793, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2456, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2420, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7191, loss: 16.2811 2022-09-16 07:28:11,225 - mmseg - INFO - Iter [61050/80000] lr: 3.401e-07, eta: 10:33:09, time: 1.910, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2326, decode.loss_mask: 0.4651, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.6781, decode.d0.loss_mask: 0.5016, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.3336, decode.d1.loss_mask: 0.4830, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2783, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.4675, decode.d3.loss_dice: 0.7129, decode.d4.loss_cls: 0.2552, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7112, decode.d5.loss_cls: 0.2458, decode.d5.loss_mask: 0.4663, decode.d5.loss_dice: 0.7099, decode.d6.loss_cls: 0.2390, decode.d6.loss_mask: 0.4635, decode.d6.loss_dice: 0.7051, decode.d7.loss_cls: 0.2395, decode.d7.loss_mask: 0.4647, decode.d7.loss_dice: 0.7040, decode.d8.loss_cls: 0.2423, decode.d8.loss_mask: 0.4643, decode.d8.loss_dice: 0.7025, loss: 15.9587 2022-09-16 07:29:46,423 - mmseg - INFO - Iter [61100/80000] lr: 3.392e-07, eta: 10:31:26, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2437, decode.loss_mask: 0.4719, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.6276, decode.d0.loss_mask: 0.5115, decode.d0.loss_dice: 0.8077, decode.d1.loss_cls: 0.3244, decode.d1.loss_mask: 0.4975, decode.d1.loss_dice: 0.7389, decode.d2.loss_cls: 0.2806, decode.d2.loss_mask: 0.4835, decode.d2.loss_dice: 0.7217, decode.d3.loss_cls: 0.2581, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7075, decode.d4.loss_cls: 0.2543, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2412, decode.d5.loss_mask: 0.4765, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2495, decode.d6.loss_mask: 0.4724, decode.d6.loss_dice: 0.6969, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.6901, decode.d8.loss_cls: 0.2388, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.6918, loss: 15.9270 2022-09-16 07:31:20,931 - mmseg - INFO - Iter [61150/80000] lr: 3.383e-07, eta: 10:29:43, time: 1.890, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2511, decode.loss_mask: 0.4984, decode.loss_dice: 0.7192, decode.d0.loss_cls: 1.6630, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8268, decode.d1.loss_cls: 0.3506, decode.d1.loss_mask: 0.5239, decode.d1.loss_dice: 0.7749, decode.d2.loss_cls: 0.2971, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7469, decode.d3.loss_cls: 0.2742, decode.d3.loss_mask: 0.5095, decode.d3.loss_dice: 0.7354, decode.d4.loss_cls: 0.2684, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2619, decode.d5.loss_mask: 0.5016, decode.d5.loss_dice: 0.7253, decode.d6.loss_cls: 0.2596, decode.d6.loss_mask: 0.4978, decode.d6.loss_dice: 0.7251, decode.d7.loss_cls: 0.2556, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2594, decode.d8.loss_mask: 0.4972, decode.d8.loss_dice: 0.7194, loss: 16.6499 2022-09-16 07:32:55,935 - mmseg - INFO - Iter [61200/80000] lr: 3.374e-07, eta: 10:28:00, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2450, decode.loss_mask: 0.4803, decode.loss_dice: 0.6945, decode.d0.loss_cls: 1.6479, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3331, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.7476, decode.d2.loss_cls: 0.2911, decode.d2.loss_mask: 0.4873, decode.d2.loss_dice: 0.7180, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.4840, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.2518, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7024, decode.d6.loss_cls: 0.2495, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2448, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.6980, decode.d8.loss_cls: 0.2478, decode.d8.loss_mask: 0.4779, decode.d8.loss_dice: 0.6979, loss: 16.0877 2022-09-16 07:34:29,964 - mmseg - INFO - Iter [61250/80000] lr: 3.365e-07, eta: 10:26:17, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2528, decode.loss_mask: 0.4768, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.6832, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3476, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7711, decode.d2.loss_cls: 0.2942, decode.d2.loss_mask: 0.4868, decode.d2.loss_dice: 0.7388, decode.d3.loss_cls: 0.2770, decode.d3.loss_mask: 0.4832, decode.d3.loss_dice: 0.7296, decode.d4.loss_cls: 0.2652, decode.d4.loss_mask: 0.4820, decode.d4.loss_dice: 0.7268, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.4781, decode.d5.loss_dice: 0.7240, decode.d6.loss_cls: 0.2570, decode.d6.loss_mask: 0.4787, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2537, decode.d7.loss_mask: 0.4772, decode.d7.loss_dice: 0.7156, decode.d8.loss_cls: 0.2557, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7158, loss: 16.3739 2022-09-16 07:36:04,074 - mmseg - INFO - Iter [61300/80000] lr: 3.356e-07, eta: 10:24:33, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2352, decode.loss_mask: 0.4924, decode.loss_dice: 0.7145, decode.d0.loss_cls: 1.6519, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.7678, decode.d2.loss_cls: 0.2723, decode.d2.loss_mask: 0.5059, decode.d2.loss_dice: 0.7435, decode.d3.loss_cls: 0.2547, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2454, decode.d4.loss_mask: 0.4978, decode.d4.loss_dice: 0.7274, decode.d5.loss_cls: 0.2372, decode.d5.loss_mask: 0.4938, decode.d5.loss_dice: 0.7204, decode.d6.loss_cls: 0.2414, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2356, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7167, decode.d8.loss_cls: 0.2353, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7127, loss: 16.3181 2022-09-16 07:37:37,179 - mmseg - INFO - Iter [61350/80000] lr: 3.347e-07, eta: 10:22:50, time: 1.862, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2269, decode.loss_mask: 0.4796, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.6317, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3182, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.4927, decode.d2.loss_dice: 0.7361, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4864, decode.d3.loss_dice: 0.7178, decode.d4.loss_cls: 0.2484, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7117, decode.d5.loss_cls: 0.2391, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2318, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7102, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2335, decode.d8.loss_mask: 0.4787, decode.d8.loss_dice: 0.7069, loss: 16.0440 2022-09-16 07:39:12,172 - mmseg - INFO - Iter [61400/80000] lr: 3.338e-07, eta: 10:21:07, time: 1.900, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2232, decode.loss_mask: 0.4911, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.5979, decode.d0.loss_mask: 0.5239, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.7619, decode.d2.loss_cls: 0.2711, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2489, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7216, decode.d4.loss_cls: 0.2441, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2314, decode.d5.loss_mask: 0.4897, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4897, decode.d6.loss_dice: 0.7134, decode.d7.loss_cls: 0.2226, decode.d7.loss_mask: 0.4888, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.2213, decode.d8.loss_mask: 0.4890, decode.d8.loss_dice: 0.7091, loss: 16.0494 2022-09-16 07:40:46,978 - mmseg - INFO - Iter [61450/80000] lr: 3.329e-07, eta: 10:19:24, time: 1.896, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2279, decode.loss_mask: 0.4592, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.4968, decode.d0.loss_dice: 0.8142, decode.d1.loss_cls: 0.3143, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7596, decode.d2.loss_cls: 0.2765, decode.d2.loss_mask: 0.4730, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2446, decode.d4.loss_mask: 0.4660, decode.d4.loss_dice: 0.7179, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.7139, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.7072, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.7092, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.7100, loss: 15.8660 2022-09-16 07:42:20,947 - mmseg - INFO - Iter [61500/80000] lr: 3.320e-07, eta: 10:17:41, time: 1.879, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2505, decode.loss_mask: 0.4849, decode.loss_dice: 0.7257, decode.d0.loss_cls: 1.6630, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8310, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.2965, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7497, decode.d3.loss_cls: 0.2800, decode.d3.loss_mask: 0.4880, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2665, decode.d4.loss_mask: 0.4871, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2636, decode.d5.loss_mask: 0.4870, decode.d5.loss_dice: 0.7312, decode.d6.loss_cls: 0.2552, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7218, decode.d7.loss_cls: 0.2537, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2490, decode.d8.loss_mask: 0.4843, decode.d8.loss_dice: 0.7257, loss: 16.5071 2022-09-16 07:43:53,877 - mmseg - INFO - Iter [61550/80000] lr: 3.311e-07, eta: 10:15:57, time: 1.859, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2459, decode.loss_mask: 0.4787, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.6088, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.8150, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7704, decode.d2.loss_cls: 0.2864, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7403, decode.d3.loss_cls: 0.2684, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7269, decode.d4.loss_cls: 0.2578, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2583, decode.d5.loss_mask: 0.4857, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7156, decode.d7.loss_cls: 0.2509, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2471, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7156, loss: 16.2641 2022-09-16 07:45:27,589 - mmseg - INFO - Iter [61600/80000] lr: 3.303e-07, eta: 10:14:14, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2463, decode.loss_mask: 0.4881, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.6780, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8060, decode.d1.loss_cls: 0.3252, decode.d1.loss_mask: 0.5160, decode.d1.loss_dice: 0.7603, decode.d2.loss_cls: 0.2778, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7334, decode.d3.loss_cls: 0.2623, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4925, decode.d4.loss_dice: 0.7088, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4929, decode.d5.loss_dice: 0.7073, decode.d6.loss_cls: 0.2473, decode.d6.loss_mask: 0.4890, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2419, decode.d7.loss_mask: 0.4893, decode.d7.loss_dice: 0.7027, decode.d8.loss_cls: 0.2408, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7034, loss: 16.2553 2022-09-16 07:47:02,987 - mmseg - INFO - Iter [61650/80000] lr: 3.294e-07, eta: 10:12:31, time: 1.908, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2566, decode.loss_mask: 0.5016, decode.loss_dice: 0.7170, decode.d0.loss_cls: 1.6690, decode.d0.loss_mask: 0.5450, decode.d0.loss_dice: 0.8315, decode.d1.loss_cls: 0.3533, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.7721, decode.d2.loss_cls: 0.2933, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2753, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7332, decode.d4.loss_cls: 0.2698, decode.d4.loss_mask: 0.5081, decode.d4.loss_dice: 0.7275, decode.d5.loss_cls: 0.2599, decode.d5.loss_mask: 0.5096, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2587, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.5034, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2519, decode.d8.loss_mask: 0.5025, decode.d8.loss_dice: 0.7250, loss: 16.6807 2022-09-16 07:48:37,561 - mmseg - INFO - Iter [61700/80000] lr: 3.285e-07, eta: 10:10:49, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2345, decode.loss_mask: 0.4748, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.6488, decode.d0.loss_mask: 0.5137, decode.d0.loss_dice: 0.7965, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4992, decode.d1.loss_dice: 0.7498, decode.d2.loss_cls: 0.2702, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7112, decode.d3.loss_cls: 0.2563, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7043, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4826, decode.d4.loss_dice: 0.7002, decode.d5.loss_cls: 0.2450, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.6986, decode.d6.loss_cls: 0.2361, decode.d6.loss_mask: 0.4764, decode.d6.loss_dice: 0.6935, decode.d7.loss_cls: 0.2345, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.6940, decode.d8.loss_cls: 0.2331, decode.d8.loss_mask: 0.4751, decode.d8.loss_dice: 0.6936, loss: 15.8917 2022-09-16 07:50:12,126 - mmseg - INFO - Iter [61750/80000] lr: 3.276e-07, eta: 10:09:06, time: 1.891, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2327, decode.loss_mask: 0.5053, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.6380, decode.d0.loss_mask: 0.5444, decode.d0.loss_dice: 0.8263, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.5308, decode.d1.loss_dice: 0.7852, decode.d2.loss_cls: 0.2659, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.7595, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7440, decode.d4.loss_cls: 0.2484, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7426, decode.d5.loss_cls: 0.2396, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7372, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.5088, decode.d6.loss_dice: 0.7332, decode.d7.loss_cls: 0.2318, decode.d7.loss_mask: 0.5072, decode.d7.loss_dice: 0.7359, decode.d8.loss_cls: 0.2306, decode.d8.loss_mask: 0.5050, decode.d8.loss_dice: 0.7340, loss: 16.5738 2022-09-16 07:51:46,805 - mmseg - INFO - Iter [61800/80000] lr: 3.267e-07, eta: 10:07:23, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2444, decode.loss_mask: 0.4907, decode.loss_dice: 0.6941, decode.d0.loss_cls: 1.5965, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.3217, decode.d1.loss_mask: 0.5200, decode.d1.loss_dice: 0.7435, decode.d2.loss_cls: 0.2788, decode.d2.loss_mask: 0.5061, decode.d2.loss_dice: 0.7201, decode.d3.loss_cls: 0.2601, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7083, decode.d4.loss_cls: 0.2537, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7032, decode.d5.loss_cls: 0.2476, decode.d5.loss_mask: 0.4932, decode.d5.loss_dice: 0.6966, decode.d6.loss_cls: 0.2452, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.6958, decode.d7.loss_cls: 0.2376, decode.d7.loss_mask: 0.4922, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2360, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.6950, loss: 16.0686 2022-09-16 07:53:20,447 - mmseg - INFO - Iter [61850/80000] lr: 3.258e-07, eta: 10:05:40, time: 1.873, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2437, decode.loss_mask: 0.4906, decode.loss_dice: 0.7011, decode.d0.loss_cls: 1.6136, decode.d0.loss_mask: 0.5248, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3191, decode.d1.loss_mask: 0.5125, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2523, decode.d4.loss_mask: 0.4951, decode.d4.loss_dice: 0.7154, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4935, decode.d5.loss_dice: 0.7142, decode.d6.loss_cls: 0.2474, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7063, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.4896, decode.d7.loss_dice: 0.7051, decode.d8.loss_cls: 0.2449, decode.d8.loss_mask: 0.4901, decode.d8.loss_dice: 0.7044, loss: 16.1749 2022-09-16 07:54:55,404 - mmseg - INFO - Iter [61900/80000] lr: 3.249e-07, eta: 10:03:57, time: 1.899, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2376, decode.loss_mask: 0.4584, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.4908, decode.d0.loss_dice: 0.7927, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.4784, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2558, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6998, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.7014, decode.d5.loss_cls: 0.2411, decode.d5.loss_mask: 0.4597, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2430, decode.d6.loss_mask: 0.4568, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2358, decode.d7.loss_mask: 0.4561, decode.d7.loss_dice: 0.6952, decode.d8.loss_cls: 0.2384, decode.d8.loss_mask: 0.4552, decode.d8.loss_dice: 0.6935, loss: 15.7556 2022-09-16 07:56:33,391 - mmseg - INFO - Iter [61950/80000] lr: 3.240e-07, eta: 10:02:16, time: 1.960, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2374, decode.loss_mask: 0.4731, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.6737, decode.d0.loss_mask: 0.5108, decode.d0.loss_dice: 0.8113, decode.d1.loss_cls: 0.3303, decode.d1.loss_mask: 0.4965, decode.d1.loss_dice: 0.7597, decode.d2.loss_cls: 0.2801, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2644, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7227, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4788, decode.d4.loss_dice: 0.7201, decode.d5.loss_cls: 0.2474, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2427, decode.d6.loss_mask: 0.4740, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2390, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.7157, loss: 16.1452 2022-09-16 07:58:07,320 - mmseg - INFO - Saving checkpoint at 62000 iterations 2022-09-16 07:58:38,815 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 07:58:38,826 - mmseg - INFO - Iter [62000/80000] lr: 3.231e-07, eta: 10:00:48, time: 2.506, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2457, decode.loss_mask: 0.4867, decode.loss_dice: 0.7149, decode.d0.loss_cls: 1.6814, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3369, decode.d1.loss_mask: 0.5120, decode.d1.loss_dice: 0.7680, decode.d2.loss_cls: 0.2885, decode.d2.loss_mask: 0.5019, decode.d2.loss_dice: 0.7455, decode.d3.loss_cls: 0.2735, decode.d3.loss_mask: 0.4973, decode.d3.loss_dice: 0.7331, decode.d4.loss_cls: 0.2602, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7263, decode.d5.loss_cls: 0.2553, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2551, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7198, decode.d7.loss_cls: 0.2481, decode.d7.loss_mask: 0.4887, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7244, loss: 16.4659 2022-09-16 08:00:14,597 - mmseg - INFO - Iter [62050/80000] lr: 3.222e-07, eta: 9:59:06, time: 1.916, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2410, decode.loss_mask: 0.4942, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.6452, decode.d0.loss_mask: 0.5360, decode.d0.loss_dice: 0.8205, decode.d1.loss_cls: 0.3290, decode.d1.loss_mask: 0.5209, decode.d1.loss_dice: 0.7741, decode.d2.loss_cls: 0.2802, decode.d2.loss_mask: 0.5071, decode.d2.loss_dice: 0.7517, decode.d3.loss_cls: 0.2592, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7372, decode.d4.loss_cls: 0.2564, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2475, decode.d5.loss_mask: 0.4990, decode.d5.loss_dice: 0.7285, decode.d6.loss_cls: 0.2463, decode.d6.loss_mask: 0.4955, decode.d6.loss_dice: 0.7238, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7209, decode.d8.loss_cls: 0.2430, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7262, loss: 16.4830 2022-09-16 08:01:48,745 - mmseg - INFO - Iter [62100/80000] lr: 3.213e-07, eta: 9:57:23, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2524, decode.loss_mask: 0.4596, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.6719, decode.d0.loss_mask: 0.5002, decode.d0.loss_dice: 0.8271, decode.d1.loss_cls: 0.3471, decode.d1.loss_mask: 0.4832, decode.d1.loss_dice: 0.7798, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.4719, decode.d2.loss_dice: 0.7488, decode.d3.loss_cls: 0.2829, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.7281, decode.d5.loss_cls: 0.2639, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.7316, decode.d6.loss_cls: 0.2572, decode.d6.loss_mask: 0.4612, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2527, decode.d7.loss_mask: 0.4596, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2551, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.7244, loss: 16.2868 2022-09-16 08:03:21,848 - mmseg - INFO - Iter [62150/80000] lr: 3.204e-07, eta: 9:55:39, time: 1.862, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2297, decode.loss_mask: 0.4820, decode.loss_dice: 0.7306, decode.d0.loss_cls: 1.6090, decode.d0.loss_mask: 0.5172, decode.d0.loss_dice: 0.8321, decode.d1.loss_cls: 0.3072, decode.d1.loss_mask: 0.5118, decode.d1.loss_dice: 0.7896, decode.d2.loss_cls: 0.2602, decode.d2.loss_mask: 0.4993, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2498, decode.d3.loss_mask: 0.4917, decode.d3.loss_dice: 0.7457, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7444, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4852, decode.d5.loss_dice: 0.7413, decode.d6.loss_cls: 0.2385, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7305, decode.d7.loss_cls: 0.2312, decode.d7.loss_mask: 0.4839, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7327, loss: 16.2950 2022-09-16 08:04:56,326 - mmseg - INFO - Iter [62200/80000] lr: 3.195e-07, eta: 9:53:57, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2367, decode.loss_mask: 0.4878, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.6351, decode.d0.loss_mask: 0.5242, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3242, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2811, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7296, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4939, decode.d3.loss_dice: 0.7181, decode.d4.loss_cls: 0.2527, decode.d4.loss_mask: 0.4887, decode.d4.loss_dice: 0.7120, decode.d5.loss_cls: 0.2416, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7121, decode.d6.loss_cls: 0.2427, decode.d6.loss_mask: 0.4858, decode.d6.loss_dice: 0.7052, decode.d7.loss_cls: 0.2369, decode.d7.loss_mask: 0.4862, decode.d7.loss_dice: 0.7098, decode.d8.loss_cls: 0.2385, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7095, loss: 16.1561 2022-09-16 08:06:31,175 - mmseg - INFO - Iter [62250/80000] lr: 3.186e-07, eta: 9:52:14, time: 1.897, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2317, decode.loss_mask: 0.4729, decode.loss_dice: 0.7037, decode.d0.loss_cls: 1.6037, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.8103, decode.d1.loss_cls: 0.3032, decode.d1.loss_mask: 0.4977, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2686, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7264, decode.d3.loss_cls: 0.2514, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2443, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2397, decode.d5.loss_mask: 0.4735, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2303, decode.d6.loss_mask: 0.4725, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.7064, loss: 15.9218 2022-09-16 08:08:06,164 - mmseg - INFO - Iter [62300/80000] lr: 3.177e-07, eta: 9:50:32, time: 1.900, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2431, decode.loss_mask: 0.4672, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.6563, decode.d0.loss_mask: 0.5066, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3259, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7395, decode.d2.loss_cls: 0.2891, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2728, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2597, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2523, decode.d5.loss_mask: 0.4726, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6909, decode.d7.loss_cls: 0.2469, decode.d7.loss_mask: 0.4705, decode.d7.loss_dice: 0.6921, decode.d8.loss_cls: 0.2415, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.6912, loss: 15.9305 2022-09-16 08:09:40,232 - mmseg - INFO - Iter [62350/80000] lr: 3.168e-07, eta: 9:48:49, time: 1.881, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2405, decode.loss_mask: 0.4997, decode.loss_dice: 0.7303, decode.d0.loss_cls: 1.6566, decode.d0.loss_mask: 0.5333, decode.d0.loss_dice: 0.8304, decode.d1.loss_cls: 0.3325, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.7778, decode.d2.loss_cls: 0.2915, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.7528, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.5032, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7359, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.5016, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2540, decode.d6.loss_mask: 0.4995, decode.d6.loss_dice: 0.7305, decode.d7.loss_cls: 0.2459, decode.d7.loss_mask: 0.5004, decode.d7.loss_dice: 0.7286, decode.d8.loss_cls: 0.2417, decode.d8.loss_mask: 0.5000, decode.d8.loss_dice: 0.7291, loss: 16.6173 2022-09-16 08:11:14,416 - mmseg - INFO - Iter [62400/80000] lr: 3.159e-07, eta: 9:47:06, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2228, decode.loss_mask: 0.4773, decode.loss_dice: 0.7035, decode.d0.loss_cls: 1.6345, decode.d0.loss_mask: 0.5173, decode.d0.loss_dice: 0.8069, decode.d1.loss_cls: 0.3134, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7610, decode.d2.loss_cls: 0.2714, decode.d2.loss_mask: 0.4878, decode.d2.loss_dice: 0.7301, decode.d3.loss_cls: 0.2459, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2389, decode.d4.loss_mask: 0.4826, decode.d4.loss_dice: 0.7193, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4794, decode.d5.loss_dice: 0.7139, decode.d6.loss_cls: 0.2244, decode.d6.loss_mask: 0.4818, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2288, decode.d7.loss_mask: 0.4765, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.2255, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7056, loss: 15.9825 2022-09-16 08:12:48,017 - mmseg - INFO - Iter [62450/80000] lr: 3.150e-07, eta: 9:45:23, time: 1.870, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2533, decode.loss_mask: 0.4652, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.6741, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7980, decode.d1.loss_cls: 0.3316, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7419, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7073, decode.d4.loss_cls: 0.2616, decode.d4.loss_mask: 0.4689, decode.d4.loss_dice: 0.7012, decode.d5.loss_cls: 0.2576, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7018, decode.d6.loss_cls: 0.2579, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.6963, decode.d7.loss_cls: 0.2499, decode.d7.loss_mask: 0.4676, decode.d7.loss_dice: 0.7010, decode.d8.loss_cls: 0.2494, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6947, loss: 15.9875 2022-09-16 08:14:21,940 - mmseg - INFO - Iter [62500/80000] lr: 3.141e-07, eta: 9:43:40, time: 1.880, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2323, decode.loss_mask: 0.4745, decode.loss_dice: 0.7006, decode.d0.loss_cls: 1.6094, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.7875, decode.d1.loss_cls: 0.3196, decode.d1.loss_mask: 0.4990, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2529, decode.d3.loss_mask: 0.4836, decode.d3.loss_dice: 0.7103, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4787, decode.d4.loss_dice: 0.7094, decode.d5.loss_cls: 0.2356, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2290, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.7006, decode.d8.loss_cls: 0.2276, decode.d8.loss_mask: 0.4753, decode.d8.loss_dice: 0.6994, loss: 15.8744 2022-09-16 08:15:56,445 - mmseg - INFO - Iter [62550/80000] lr: 3.132e-07, eta: 9:41:58, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2337, decode.loss_mask: 0.4703, decode.loss_dice: 0.6947, decode.d0.loss_cls: 1.6370, decode.d0.loss_mask: 0.5037, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7446, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.4813, decode.d2.loss_dice: 0.7204, decode.d3.loss_cls: 0.2567, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7087, decode.d4.loss_cls: 0.2497, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7059, decode.d5.loss_cls: 0.2453, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2363, decode.d6.loss_mask: 0.4713, decode.d6.loss_dice: 0.6947, decode.d7.loss_cls: 0.2338, decode.d7.loss_mask: 0.4713, decode.d7.loss_dice: 0.6933, decode.d8.loss_cls: 0.2374, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.6946, loss: 15.8607 2022-09-16 08:17:29,114 - mmseg - INFO - Iter [62600/80000] lr: 3.123e-07, eta: 9:40:14, time: 1.853, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2254, decode.loss_mask: 0.4840, decode.loss_dice: 0.6968, decode.d0.loss_cls: 1.6104, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.7944, decode.d1.loss_cls: 0.3154, decode.d1.loss_mask: 0.5077, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.2682, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7220, decode.d3.loss_cls: 0.2525, decode.d3.loss_mask: 0.4938, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2429, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7120, decode.d5.loss_cls: 0.2414, decode.d5.loss_mask: 0.4876, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4878, decode.d6.loss_dice: 0.7022, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7008, decode.d8.loss_cls: 0.2297, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7026, loss: 15.9803 2022-09-16 08:19:03,610 - mmseg - INFO - Iter [62650/80000] lr: 3.114e-07, eta: 9:38:32, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2433, decode.loss_mask: 0.4706, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.6958, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.3232, decode.d1.loss_mask: 0.4971, decode.d1.loss_dice: 0.7626, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2676, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2572, decode.d4.loss_mask: 0.4773, decode.d4.loss_dice: 0.7188, decode.d5.loss_cls: 0.2511, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2492, decode.d6.loss_mask: 0.4718, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4714, decode.d7.loss_dice: 0.7072, decode.d8.loss_cls: 0.2453, decode.d8.loss_mask: 0.4729, decode.d8.loss_dice: 0.7082, loss: 16.1467 2022-09-16 08:20:37,795 - mmseg - INFO - Iter [62700/80000] lr: 3.105e-07, eta: 9:36:49, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2433, decode.loss_mask: 0.4751, decode.loss_dice: 0.7010, decode.d0.loss_cls: 1.6587, decode.d0.loss_mask: 0.5139, decode.d0.loss_dice: 0.8024, decode.d1.loss_cls: 0.3303, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7481, decode.d2.loss_cls: 0.2856, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7240, decode.d3.loss_cls: 0.2642, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2587, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7050, decode.d6.loss_cls: 0.2515, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2475, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2478, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.6976, loss: 16.0813 2022-09-16 08:22:12,264 - mmseg - INFO - Iter [62750/80000] lr: 3.096e-07, eta: 9:35:06, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2287, decode.loss_mask: 0.4684, decode.loss_dice: 0.6963, decode.d0.loss_cls: 1.6260, decode.d0.loss_mask: 0.5087, decode.d0.loss_dice: 0.8010, decode.d1.loss_cls: 0.3254, decode.d1.loss_mask: 0.4956, decode.d1.loss_dice: 0.7503, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.4836, decode.d2.loss_dice: 0.7217, decode.d3.loss_cls: 0.2555, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.7071, decode.d4.loss_cls: 0.2464, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.7039, decode.d5.loss_cls: 0.2405, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.7004, decode.d6.loss_cls: 0.2349, decode.d6.loss_mask: 0.4693, decode.d6.loss_dice: 0.6924, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.6976, decode.d8.loss_cls: 0.2276, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.6939, loss: 15.8329 2022-09-16 08:23:46,202 - mmseg - INFO - Iter [62800/80000] lr: 3.087e-07, eta: 9:33:24, time: 1.879, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2380, decode.loss_mask: 0.4832, decode.loss_dice: 0.7100, decode.d0.loss_cls: 1.6356, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8126, decode.d1.loss_cls: 0.3284, decode.d1.loss_mask: 0.5094, decode.d1.loss_dice: 0.7632, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4957, decode.d2.loss_dice: 0.7297, decode.d3.loss_cls: 0.2628, decode.d3.loss_mask: 0.4895, decode.d3.loss_dice: 0.7192, decode.d4.loss_cls: 0.2489, decode.d4.loss_mask: 0.4880, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2376, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.7151, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.4858, decode.d6.loss_dice: 0.7086, decode.d7.loss_cls: 0.2392, decode.d7.loss_mask: 0.4845, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2359, decode.d8.loss_mask: 0.4846, decode.d8.loss_dice: 0.7102, loss: 16.1745 2022-09-16 08:25:20,402 - mmseg - INFO - Iter [62850/80000] lr: 3.078e-07, eta: 9:31:41, time: 1.884, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2371, decode.loss_mask: 0.4676, decode.loss_dice: 0.7031, decode.d0.loss_cls: 1.6557, decode.d0.loss_mask: 0.5045, decode.d0.loss_dice: 0.8044, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.4986, decode.d1.loss_dice: 0.7636, decode.d2.loss_cls: 0.2786, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2619, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2487, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7096, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.4698, decode.d5.loss_dice: 0.7093, decode.d6.loss_cls: 0.2382, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.7042, decode.d7.loss_cls: 0.2399, decode.d7.loss_mask: 0.4637, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2360, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.7027, loss: 15.9675 2022-09-16 08:26:55,070 - mmseg - INFO - Iter [62900/80000] lr: 3.069e-07, eta: 9:29:59, time: 1.893, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2322, decode.loss_mask: 0.4675, decode.loss_dice: 0.6655, decode.d0.loss_cls: 1.6655, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.7610, decode.d1.loss_cls: 0.3176, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7256, decode.d2.loss_cls: 0.2727, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.6917, decode.d3.loss_cls: 0.2572, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.6776, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4733, decode.d4.loss_dice: 0.6754, decode.d5.loss_cls: 0.2433, decode.d5.loss_mask: 0.4701, decode.d5.loss_dice: 0.6703, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.6673, decode.d7.loss_cls: 0.2329, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.2315, decode.d8.loss_mask: 0.4698, decode.d8.loss_dice: 0.6678, loss: 15.5788 2022-09-16 08:28:29,565 - mmseg - INFO - Iter [62950/80000] lr: 3.060e-07, eta: 9:28:16, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2476, decode.loss_mask: 0.4939, decode.loss_dice: 0.7175, decode.d0.loss_cls: 1.6413, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8249, decode.d1.loss_cls: 0.3457, decode.d1.loss_mask: 0.5216, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2934, decode.d2.loss_mask: 0.5060, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2722, decode.d3.loss_mask: 0.5036, decode.d3.loss_dice: 0.7307, decode.d4.loss_cls: 0.2632, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7230, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4974, decode.d5.loss_dice: 0.7231, decode.d6.loss_cls: 0.2506, decode.d6.loss_mask: 0.4968, decode.d6.loss_dice: 0.7172, decode.d7.loss_cls: 0.2492, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2456, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7197, loss: 16.4858 2022-09-16 08:30:04,544 - mmseg - INFO - Saving checkpoint at 63000 iterations 2022-09-16 08:30:36,059 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 08:30:36,061 - mmseg - INFO - Iter [63000/80000] lr: 3.051e-07, eta: 9:26:48, time: 2.528, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2419, decode.loss_mask: 0.4893, decode.loss_dice: 0.6940, decode.d0.loss_cls: 1.6712, decode.d0.loss_mask: 0.5284, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.3318, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.7424, decode.d2.loss_cls: 0.2878, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7161, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4937, decode.d3.loss_dice: 0.7029, decode.d4.loss_cls: 0.2525, decode.d4.loss_mask: 0.4954, decode.d4.loss_dice: 0.7048, decode.d5.loss_cls: 0.2487, decode.d5.loss_mask: 0.4920, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2453, decode.d6.loss_mask: 0.4905, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.2464, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.2374, decode.d8.loss_mask: 0.4903, decode.d8.loss_dice: 0.6936, loss: 16.1547 2022-09-16 08:32:09,935 - mmseg - INFO - Iter [63050/80000] lr: 3.042e-07, eta: 9:25:05, time: 1.880, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2445, decode.loss_mask: 0.4814, decode.loss_dice: 0.7156, decode.d0.loss_cls: 1.6191, decode.d0.loss_mask: 0.5223, decode.d0.loss_dice: 0.8109, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.5052, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2852, decode.d2.loss_mask: 0.4991, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2732, decode.d3.loss_mask: 0.4912, decode.d3.loss_dice: 0.7236, decode.d4.loss_cls: 0.2599, decode.d4.loss_mask: 0.4896, decode.d4.loss_dice: 0.7243, decode.d5.loss_cls: 0.2578, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7176, decode.d6.loss_cls: 0.2495, decode.d6.loss_mask: 0.4859, decode.d6.loss_dice: 0.7150, decode.d7.loss_cls: 0.2441, decode.d7.loss_mask: 0.4843, decode.d7.loss_dice: 0.7114, decode.d8.loss_cls: 0.2446, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.7128, loss: 16.2739 2022-09-16 08:33:44,651 - mmseg - INFO - Iter [63100/80000] lr: 3.033e-07, eta: 9:23:23, time: 1.894, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2423, decode.loss_mask: 0.4954, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.6269, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8165, decode.d1.loss_cls: 0.3246, decode.d1.loss_mask: 0.5220, decode.d1.loss_dice: 0.7611, decode.d2.loss_cls: 0.2774, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2575, decode.d3.loss_mask: 0.5034, decode.d3.loss_dice: 0.7231, decode.d4.loss_cls: 0.2525, decode.d4.loss_mask: 0.5003, decode.d4.loss_dice: 0.7182, decode.d5.loss_cls: 0.2468, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7141, decode.d6.loss_cls: 0.2446, decode.d6.loss_mask: 0.4978, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2433, decode.d7.loss_mask: 0.4957, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.4950, decode.d8.loss_dice: 0.7075, loss: 16.3110 2022-09-16 08:35:18,764 - mmseg - INFO - Iter [63150/80000] lr: 3.024e-07, eta: 9:21:40, time: 1.880, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2359, decode.loss_mask: 0.4646, decode.loss_dice: 0.6897, decode.d0.loss_cls: 1.6553, decode.d0.loss_mask: 0.5024, decode.d0.loss_dice: 0.7837, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7445, decode.d2.loss_cls: 0.2719, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7197, decode.d3.loss_cls: 0.2541, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.7005, decode.d5.loss_cls: 0.2472, decode.d5.loss_mask: 0.4676, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2407, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2386, decode.d7.loss_mask: 0.4645, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.2348, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6902, loss: 15.8181 2022-09-16 08:36:55,732 - mmseg - INFO - Iter [63200/80000] lr: 3.015e-07, eta: 9:19:59, time: 1.939, data_time: 0.067, memory: 47124, decode.loss_cls: 0.2453, decode.loss_mask: 0.4851, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.6605, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3278, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7524, decode.d2.loss_cls: 0.2831, decode.d2.loss_mask: 0.4972, decode.d2.loss_dice: 0.7278, decode.d3.loss_cls: 0.2689, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7179, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4926, decode.d4.loss_dice: 0.7107, decode.d5.loss_cls: 0.2509, decode.d5.loss_mask: 0.4892, decode.d5.loss_dice: 0.7113, decode.d6.loss_cls: 0.2499, decode.d6.loss_mask: 0.4854, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2454, decode.d7.loss_mask: 0.4862, decode.d7.loss_dice: 0.7029, decode.d8.loss_cls: 0.2451, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.6997, loss: 16.2178 2022-09-16 08:38:29,953 - mmseg - INFO - Iter [63250/80000] lr: 3.006e-07, eta: 9:18:17, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2290, decode.loss_mask: 0.4834, decode.loss_dice: 0.7056, decode.d0.loss_cls: 1.6314, decode.d0.loss_mask: 0.5195, decode.d0.loss_dice: 0.7985, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.5108, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2627, decode.d2.loss_mask: 0.4975, decode.d2.loss_dice: 0.7280, decode.d3.loss_cls: 0.2428, decode.d3.loss_mask: 0.4908, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2469, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7139, decode.d5.loss_cls: 0.2367, decode.d5.loss_mask: 0.4856, decode.d5.loss_dice: 0.7077, decode.d6.loss_cls: 0.2320, decode.d6.loss_mask: 0.4837, decode.d6.loss_dice: 0.7036, decode.d7.loss_cls: 0.2283, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7026, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7056, loss: 16.0255 2022-09-16 08:40:03,481 - mmseg - INFO - Iter [63300/80000] lr: 2.997e-07, eta: 9:16:34, time: 1.870, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2229, decode.loss_mask: 0.4781, decode.loss_dice: 0.7003, decode.d0.loss_cls: 1.6335, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.4992, decode.d1.loss_dice: 0.7536, decode.d2.loss_cls: 0.2640, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7241, decode.d3.loss_cls: 0.2479, decode.d3.loss_mask: 0.4831, decode.d3.loss_dice: 0.7101, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7111, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7041, decode.d6.loss_cls: 0.2358, decode.d6.loss_mask: 0.4795, decode.d6.loss_dice: 0.7045, decode.d7.loss_cls: 0.2226, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.7049, decode.d8.loss_cls: 0.2244, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7010, loss: 15.9255 2022-09-16 08:41:37,864 - mmseg - INFO - Iter [63350/80000] lr: 2.988e-07, eta: 9:14:52, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2182, decode.loss_mask: 0.4795, decode.loss_dice: 0.6918, decode.d0.loss_cls: 1.6305, decode.d0.loss_mask: 0.5158, decode.d0.loss_dice: 0.7920, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.5039, decode.d1.loss_dice: 0.7399, decode.d2.loss_cls: 0.2608, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7109, decode.d3.loss_cls: 0.2397, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.6976, decode.d4.loss_cls: 0.2337, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.6945, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4834, decode.d5.loss_dice: 0.6950, decode.d6.loss_cls: 0.2209, decode.d6.loss_mask: 0.4813, decode.d6.loss_dice: 0.6895, decode.d7.loss_cls: 0.2200, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.6902, decode.d8.loss_cls: 0.2151, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.6943, loss: 15.7584 2022-09-16 08:43:11,696 - mmseg - INFO - Iter [63400/80000] lr: 2.979e-07, eta: 9:13:09, time: 1.877, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2267, decode.loss_mask: 0.4829, decode.loss_dice: 0.7194, decode.d0.loss_cls: 1.6053, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8152, decode.d1.loss_cls: 0.3036, decode.d1.loss_mask: 0.5070, decode.d1.loss_dice: 0.7724, decode.d2.loss_cls: 0.2686, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7443, decode.d3.loss_cls: 0.2467, decode.d3.loss_mask: 0.4878, decode.d3.loss_dice: 0.7320, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7278, decode.d5.loss_cls: 0.2301, decode.d5.loss_mask: 0.4854, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2264, decode.d6.loss_mask: 0.4839, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2217, decode.d7.loss_mask: 0.4852, decode.d7.loss_dice: 0.7254, decode.d8.loss_cls: 0.2241, decode.d8.loss_mask: 0.4822, decode.d8.loss_dice: 0.7243, loss: 16.1146 2022-09-16 08:44:45,370 - mmseg - INFO - Iter [63450/80000] lr: 2.970e-07, eta: 9:11:26, time: 1.874, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2468, decode.loss_mask: 0.4904, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.6158, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8164, decode.d1.loss_cls: 0.3320, decode.d1.loss_mask: 0.5146, decode.d1.loss_dice: 0.7717, decode.d2.loss_cls: 0.2836, decode.d2.loss_mask: 0.5008, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2695, decode.d3.loss_mask: 0.4992, decode.d3.loss_dice: 0.7253, decode.d4.loss_cls: 0.2578, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7215, decode.d5.loss_cls: 0.2495, decode.d5.loss_mask: 0.4920, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2480, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2453, decode.d7.loss_mask: 0.4917, decode.d7.loss_dice: 0.7194, decode.d8.loss_cls: 0.2468, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7160, loss: 16.3527 2022-09-16 08:46:19,831 - mmseg - INFO - Iter [63500/80000] lr: 2.962e-07, eta: 9:09:44, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2295, decode.loss_mask: 0.4684, decode.loss_dice: 0.6976, decode.d0.loss_cls: 1.6300, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3225, decode.d1.loss_mask: 0.4880, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2745, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7180, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4751, decode.d3.loss_dice: 0.7071, decode.d4.loss_cls: 0.2505, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7050, decode.d5.loss_cls: 0.2403, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.6993, decode.d6.loss_cls: 0.2365, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6993, decode.d7.loss_cls: 0.2293, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.6988, decode.d8.loss_cls: 0.2289, decode.d8.loss_mask: 0.4718, decode.d8.loss_dice: 0.6935, loss: 15.8465 2022-09-16 08:47:54,123 - mmseg - INFO - Iter [63550/80000] lr: 2.953e-07, eta: 9:08:02, time: 1.886, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2272, decode.loss_mask: 0.4857, decode.loss_dice: 0.7083, decode.d0.loss_cls: 1.6456, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.8100, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.5078, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7297, decode.d3.loss_cls: 0.2486, decode.d3.loss_mask: 0.4916, decode.d3.loss_dice: 0.7192, decode.d4.loss_cls: 0.2405, decode.d4.loss_mask: 0.4892, decode.d4.loss_dice: 0.7148, decode.d5.loss_cls: 0.2316, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2282, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2277, decode.d7.loss_mask: 0.4860, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2245, decode.d8.loss_mask: 0.4857, decode.d8.loss_dice: 0.7114, loss: 16.0652 2022-09-16 08:49:28,963 - mmseg - INFO - Iter [63600/80000] lr: 2.944e-07, eta: 9:06:20, time: 1.897, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2421, decode.loss_mask: 0.4675, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.6865, decode.d0.loss_mask: 0.5070, decode.d0.loss_dice: 0.8028, decode.d1.loss_cls: 0.3315, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7501, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2703, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2636, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7017, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.4714, decode.d5.loss_dice: 0.6994, decode.d6.loss_cls: 0.2501, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.2461, decode.d7.loss_mask: 0.4688, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.6962, loss: 16.0120 2022-09-16 08:51:03,024 - mmseg - INFO - Iter [63650/80000] lr: 2.935e-07, eta: 9:04:37, time: 1.881, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2508, decode.loss_mask: 0.4833, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.6961, decode.d0.loss_mask: 0.5235, decode.d0.loss_dice: 0.8125, decode.d1.loss_cls: 0.3400, decode.d1.loss_mask: 0.5112, decode.d1.loss_dice: 0.7616, decode.d2.loss_cls: 0.2942, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7334, decode.d3.loss_cls: 0.2696, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7240, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7228, decode.d5.loss_cls: 0.2596, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7233, decode.d6.loss_cls: 0.2558, decode.d6.loss_mask: 0.4842, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2461, decode.d7.loss_mask: 0.4857, decode.d7.loss_dice: 0.7182, decode.d8.loss_cls: 0.2479, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7150, loss: 16.3929 2022-09-16 08:52:36,542 - mmseg - INFO - Iter [63700/80000] lr: 2.926e-07, eta: 9:02:55, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2206, decode.loss_mask: 0.4834, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.6287, decode.d0.loss_mask: 0.5165, decode.d0.loss_dice: 0.8108, decode.d1.loss_cls: 0.3095, decode.d1.loss_mask: 0.5049, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.2590, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2417, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2304, decode.d4.loss_mask: 0.4881, decode.d4.loss_dice: 0.7226, decode.d5.loss_cls: 0.2271, decode.d5.loss_mask: 0.4848, decode.d5.loss_dice: 0.7159, decode.d6.loss_cls: 0.2244, decode.d6.loss_mask: 0.4849, decode.d6.loss_dice: 0.7138, decode.d7.loss_cls: 0.2204, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7118, loss: 16.0151 2022-09-16 08:54:10,184 - mmseg - INFO - Iter [63750/80000] lr: 2.917e-07, eta: 9:01:12, time: 1.873, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2573, decode.loss_mask: 0.4719, decode.loss_dice: 0.7102, decode.d0.loss_cls: 1.6768, decode.d0.loss_mask: 0.5132, decode.d0.loss_dice: 0.8226, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.4956, decode.d1.loss_dice: 0.7709, decode.d2.loss_cls: 0.2922, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7404, decode.d3.loss_cls: 0.2772, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7269, decode.d4.loss_cls: 0.2682, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7214, decode.d5.loss_cls: 0.2651, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7178, decode.d6.loss_cls: 0.2644, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7102, decode.d7.loss_cls: 0.2650, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.7103, decode.d8.loss_cls: 0.2535, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7100, loss: 16.3256 2022-09-16 08:55:45,240 - mmseg - INFO - Iter [63800/80000] lr: 2.908e-07, eta: 8:59:30, time: 1.901, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2224, decode.loss_mask: 0.4956, decode.loss_dice: 0.6997, decode.d0.loss_cls: 1.5916, decode.d0.loss_mask: 0.5337, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.3061, decode.d1.loss_mask: 0.5233, decode.d1.loss_dice: 0.7542, decode.d2.loss_cls: 0.2649, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7230, decode.d3.loss_cls: 0.2459, decode.d3.loss_mask: 0.5030, decode.d3.loss_dice: 0.7114, decode.d4.loss_cls: 0.2341, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7074, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4980, decode.d5.loss_dice: 0.7017, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7069, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7040, loss: 16.0336 2022-09-16 08:57:19,681 - mmseg - INFO - Iter [63850/80000] lr: 2.899e-07, eta: 8:57:48, time: 1.889, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2141, decode.loss_mask: 0.4863, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.6120, decode.d0.loss_mask: 0.5186, decode.d0.loss_dice: 0.8079, decode.d1.loss_cls: 0.3070, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7629, decode.d2.loss_cls: 0.2600, decode.d2.loss_mask: 0.4966, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2395, decode.d3.loss_mask: 0.4918, decode.d3.loss_dice: 0.7185, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4904, decode.d4.loss_dice: 0.7197, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2177, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7148, decode.d7.loss_cls: 0.2159, decode.d7.loss_mask: 0.4874, decode.d7.loss_dice: 0.7130, decode.d8.loss_cls: 0.2164, decode.d8.loss_mask: 0.4862, decode.d8.loss_dice: 0.7161, loss: 15.9958 2022-09-16 08:58:54,209 - mmseg - INFO - Iter [63900/80000] lr: 2.890e-07, eta: 8:56:06, time: 1.891, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2532, decode.loss_mask: 0.4774, decode.loss_dice: 0.7110, decode.d0.loss_cls: 1.6204, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8203, decode.d1.loss_cls: 0.3434, decode.d1.loss_mask: 0.5037, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2968, decode.d2.loss_mask: 0.4890, decode.d2.loss_dice: 0.7372, decode.d3.loss_cls: 0.2777, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7242, decode.d4.loss_cls: 0.2735, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7215, decode.d5.loss_cls: 0.2675, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7176, decode.d6.loss_cls: 0.2650, decode.d6.loss_mask: 0.4761, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2600, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.7143, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7107, loss: 16.2941 2022-09-16 09:00:27,695 - mmseg - INFO - Iter [63950/80000] lr: 2.881e-07, eta: 8:54:24, time: 1.870, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2449, decode.loss_mask: 0.5021, decode.loss_dice: 0.7272, decode.d0.loss_cls: 1.6494, decode.d0.loss_mask: 0.5437, decode.d0.loss_dice: 0.8391, decode.d1.loss_cls: 0.3328, decode.d1.loss_mask: 0.5306, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.2879, decode.d2.loss_mask: 0.5165, decode.d2.loss_dice: 0.7569, decode.d3.loss_cls: 0.2723, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.7473, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.5092, decode.d4.loss_dice: 0.7405, decode.d5.loss_cls: 0.2563, decode.d5.loss_mask: 0.5062, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2554, decode.d6.loss_mask: 0.5041, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2488, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7348, decode.d8.loss_cls: 0.2472, decode.d8.loss_mask: 0.5019, decode.d8.loss_dice: 0.7293, loss: 16.7220 2022-09-16 09:02:02,114 - mmseg - INFO - Saving checkpoint at 64000 iterations 2022-09-16 09:02:33,433 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 09:02:33,435 - mmseg - INFO - Iter [64000/80000] lr: 2.872e-07, eta: 8:52:54, time: 2.513, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2353, decode.loss_mask: 0.4706, decode.loss_dice: 0.6802, decode.d0.loss_cls: 1.6270, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7789, decode.d1.loss_cls: 0.3128, decode.d1.loss_mask: 0.4943, decode.d1.loss_dice: 0.7327, decode.d2.loss_cls: 0.2711, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7050, decode.d3.loss_cls: 0.2537, decode.d3.loss_mask: 0.4773, decode.d3.loss_dice: 0.6907, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.6900, decode.d5.loss_cls: 0.2411, decode.d5.loss_mask: 0.4739, decode.d5.loss_dice: 0.6888, decode.d6.loss_cls: 0.2326, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.2364, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.6782, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4714, decode.d8.loss_dice: 0.6782, loss: 15.6943 2022-09-16 09:04:25,260 - mmseg - INFO - per class results: 2022-09-16 09:04:25,271 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.58 | 89.05 | | building | 84.71 | 92.8 | | sky | 95.09 | 97.46 | | floor | 85.41 | 90.9 | | tree | 77.89 | 89.48 | | ceiling | 87.78 | 93.91 | | road | 87.75 | 91.03 | | bed | 94.1 | 97.57 | | windowpane | 65.39 | 81.92 | | grass | 76.6 | 90.85 | | cabinet | 67.92 | 78.97 | | sidewalk | 72.34 | 85.86 | | person | 88.15 | 94.79 | | earth | 40.91 | 55.46 | | door | 59.95 | 73.57 | | table | 72.72 | 84.38 | | mountain | 64.25 | 77.33 | | plant | 57.37 | 69.25 | | curtain | 81.79 | 91.03 | | chair | 68.3 | 79.27 | | car | 89.45 | 94.29 | | water | 60.84 | 74.06 | | painting | 80.95 | 90.81 | | sofa | 80.64 | 91.43 | | shelf | 51.47 | 70.19 | | house | 47.15 | 60.44 | | sea | 66.44 | 84.97 | | mirror | 80.16 | 91.3 | | rug | 68.9 | 83.32 | | field | 33.34 | 46.5 | | armchair | 56.24 | 73.93 | | seat | 67.71 | 82.04 | | fence | 53.39 | 79.28 | | desk | 60.52 | 83.04 | | rock | 58.21 | 72.97 | | wardrobe | 64.06 | 77.5 | | lamp | 80.84 | 90.56 | | bathtub | 91.95 | 93.55 | | railing | 43.41 | 62.54 | | cushion | 69.08 | 79.07 | | base | 43.23 | 60.17 | | box | 43.24 | 56.01 | | column | 59.46 | 72.71 | | signboard | 41.63 | 65.14 | | chest of drawers | 46.58 | 66.57 | | counter | 40.28 | 54.28 | | sand | 59.1 | 85.87 | | sink | 83.27 | 86.41 | | skyscraper | 43.93 | 54.54 | | fireplace | 77.71 | 96.97 | | refrigerator | 86.11 | 93.31 | | grandstand | 63.69 | 82.98 | | path | 27.07 | 41.32 | | stairs | 50.14 | 63.58 | | runway | 76.56 | 96.94 | | case | 69.2 | 86.88 | | pool table | 95.79 | 98.22 | | pillow | 68.92 | 83.28 | | screen door | 78.93 | 91.08 | | stairway | 56.6 | 71.6 | | river | 12.61 | 26.2 | | bridge | 61.76 | 73.66 | | bookcase | 44.54 | 63.01 | | blind | 38.29 | 47.24 | | coffee table | 68.87 | 88.44 | | toilet | 92.07 | 95.05 | | flower | 57.04 | 76.64 | | book | 61.76 | 81.9 | | hill | 5.3 | 10.22 | | bench | 73.31 | 84.89 | | countertop | 70.38 | 88.72 | | stove | 88.05 | 92.34 | | palm | 55.81 | 83.62 | | kitchen island | 51.27 | 84.46 | | computer | 83.4 | 90.19 | | swivel chair | 49.34 | 77.94 | | boat | 68.81 | 90.09 | | bar | 64.87 | 79.8 | | arcade machine | 81.99 | 89.66 | | hovel | 42.05 | 46.85 | | bus | 95.23 | 97.59 | | towel | 77.98 | 91.3 | | light | 66.47 | 82.86 | | truck | 56.07 | 73.8 | | tower | 28.04 | 48.29 | | chandelier | 78.73 | 89.72 | | awning | 39.21 | 52.6 | | streetlight | 47.4 | 69.71 | | booth | 53.83 | 72.47 | | television receiver | 83.87 | 90.89 | | airplane | 81.65 | 97.42 | | dirt track | 11.0 | 34.41 | | apparel | 60.18 | 85.85 | | pole | 37.9 | 55.82 | | land | 4.79 | 6.8 | | bannister | 26.48 | 35.71 | | escalator | 62.31 | 82.72 | | ottoman | 54.5 | 74.13 | | bottle | 53.2 | 78.21 | | buffet | 56.49 | 69.95 | | poster | 28.92 | 45.13 | | stage | 15.81 | 47.16 | | van | 50.33 | 74.75 | | ship | 71.44 | 91.56 | | fountain | 24.6 | 25.18 | | conveyer belt | 79.02 | 97.72 | | canopy | 62.8 | 90.5 | | washer | 76.7 | 93.94 | | plaything | 45.51 | 67.68 | | swimming pool | 64.94 | 73.22 | | stool | 61.87 | 79.57 | | barrel | 85.13 | 97.79 | | basket | 49.87 | 72.16 | | waterfall | 72.23 | 86.78 | | tent | 89.58 | 98.27 | | bag | 28.09 | 34.45 | | minibike | 82.75 | 93.25 | | cradle | 90.31 | 97.77 | | oven | 68.96 | 82.61 | | ball | 52.37 | 56.62 | | food | 65.55 | 78.63 | | step | 21.71 | 25.65 | | tank | 64.01 | 66.39 | | trade name | 29.31 | 35.18 | | microwave | 89.33 | 94.01 | | pot | 67.58 | 81.18 | | animal | 79.02 | 80.85 | | bicycle | 63.45 | 81.91 | | lake | 52.17 | 69.2 | | dishwasher | 84.73 | 90.54 | | screen | 50.8 | 81.62 | | blanket | 37.08 | 48.0 | | sculpture | 73.34 | 91.54 | | hood | 65.36 | 77.89 | | sconce | 63.34 | 78.8 | | vase | 62.91 | 82.38 | | traffic light | 52.12 | 72.92 | | tray | 33.32 | 47.96 | | ashcan | 57.01 | 80.13 | | fan | 75.26 | 87.22 | | pier | 41.1 | 43.81 | | crt screen | 1.05 | 3.6 | | plate | 67.2 | 81.23 | | monitor | 11.78 | 15.16 | | bulletin board | 45.72 | 60.48 | | shower | 19.97 | 28.67 | | radiator | 73.17 | 92.4 | | glass | 28.64 | 30.96 | | clock | 60.99 | 71.07 | | flag | 72.56 | 85.27 | +---------------------+-------+-------+ 2022-09-16 09:04:25,271 - mmseg - INFO - Summary: 2022-09-16 09:04:25,271 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.78 | 60.57 | 74.18 | +-------+-------+-------+ 2022-09-16 09:04:25,279 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 09:04:25,280 - mmseg - INFO - Iter(val) [125] aAcc: 0.8678, mIoU: 0.6057, mAcc: 0.7418, IoU.wall: 0.8258, IoU.building: 0.8471, IoU.sky: 0.9509, IoU.floor: 0.8541, IoU.tree: 0.7789, IoU.ceiling: 0.8778, IoU.road: 0.8775, IoU.bed : 0.9410, IoU.windowpane: 0.6539, IoU.grass: 0.7660, IoU.cabinet: 0.6792, IoU.sidewalk: 0.7234, IoU.person: 0.8815, IoU.earth: 0.4091, IoU.door: 0.5995, IoU.table: 0.7272, IoU.mountain: 0.6425, IoU.plant: 0.5737, IoU.curtain: 0.8179, IoU.chair: 0.6830, IoU.car: 0.8945, IoU.water: 0.6084, IoU.painting: 0.8095, IoU.sofa: 0.8064, IoU.shelf: 0.5147, IoU.house: 0.4715, IoU.sea: 0.6644, IoU.mirror: 0.8016, IoU.rug: 0.6890, IoU.field: 0.3334, IoU.armchair: 0.5624, IoU.seat: 0.6771, IoU.fence: 0.5339, IoU.desk: 0.6052, IoU.rock: 0.5821, IoU.wardrobe: 0.6406, IoU.lamp: 0.8084, IoU.bathtub: 0.9195, IoU.railing: 0.4341, IoU.cushion: 0.6908, IoU.base: 0.4323, IoU.box: 0.4324, IoU.column: 0.5946, IoU.signboard: 0.4163, IoU.chest of drawers: 0.4658, IoU.counter: 0.4028, IoU.sand: 0.5910, IoU.sink: 0.8327, IoU.skyscraper: 0.4393, IoU.fireplace: 0.7771, IoU.refrigerator: 0.8611, IoU.grandstand: 0.6369, IoU.path: 0.2707, IoU.stairs: 0.5014, IoU.runway: 0.7656, IoU.case: 0.6920, IoU.pool table: 0.9579, IoU.pillow: 0.6892, IoU.screen door: 0.7893, IoU.stairway: 0.5660, IoU.river: 0.1261, IoU.bridge: 0.6176, IoU.bookcase: 0.4454, IoU.blind: 0.3829, IoU.coffee table: 0.6887, IoU.toilet: 0.9207, IoU.flower: 0.5704, IoU.book: 0.6176, IoU.hill: 0.0530, IoU.bench: 0.7331, IoU.countertop: 0.7038, IoU.stove: 0.8805, IoU.palm: 0.5581, IoU.kitchen island: 0.5127, IoU.computer: 0.8340, IoU.swivel chair: 0.4934, IoU.boat: 0.6881, IoU.bar: 0.6487, IoU.arcade machine: 0.8199, IoU.hovel: 0.4205, IoU.bus: 0.9523, IoU.towel: 0.7798, IoU.light: 0.6647, IoU.truck: 0.5607, IoU.tower: 0.2804, IoU.chandelier: 0.7873, IoU.awning: 0.3921, IoU.streetlight: 0.4740, IoU.booth: 0.5383, IoU.television receiver: 0.8387, IoU.airplane: 0.8165, IoU.dirt track: 0.1100, IoU.apparel: 0.6018, IoU.pole: 0.3790, IoU.land: 0.0479, IoU.bannister: 0.2648, IoU.escalator: 0.6231, IoU.ottoman: 0.5450, IoU.bottle: 0.5320, IoU.buffet: 0.5649, IoU.poster: 0.2892, IoU.stage: 0.1581, IoU.van: 0.5033, IoU.ship: 0.7144, IoU.fountain: 0.2460, IoU.conveyer belt: 0.7902, IoU.canopy: 0.6280, IoU.washer: 0.7670, IoU.plaything: 0.4551, IoU.swimming pool: 0.6494, IoU.stool: 0.6187, IoU.barrel: 0.8513, IoU.basket: 0.4987, IoU.waterfall: 0.7223, IoU.tent: 0.8958, IoU.bag: 0.2809, IoU.minibike: 0.8275, IoU.cradle: 0.9031, IoU.oven: 0.6896, IoU.ball: 0.5237, IoU.food: 0.6555, IoU.step: 0.2171, IoU.tank: 0.6401, IoU.trade name: 0.2931, IoU.microwave: 0.8933, IoU.pot: 0.6758, IoU.animal: 0.7902, IoU.bicycle: 0.6345, IoU.lake: 0.5217, IoU.dishwasher: 0.8473, IoU.screen: 0.5080, IoU.blanket: 0.3708, IoU.sculpture: 0.7334, IoU.hood: 0.6536, IoU.sconce: 0.6334, IoU.vase: 0.6291, IoU.traffic light: 0.5212, IoU.tray: 0.3332, IoU.ashcan: 0.5701, IoU.fan: 0.7526, IoU.pier: 0.4110, IoU.crt screen: 0.0105, IoU.plate: 0.6720, IoU.monitor: 0.1178, IoU.bulletin board: 0.4572, IoU.shower: 0.1997, IoU.radiator: 0.7317, IoU.glass: 0.2864, IoU.clock: 0.6099, IoU.flag: 0.7256, Acc.wall: 0.8905, Acc.building: 0.9280, Acc.sky: 0.9746, Acc.floor: 0.9090, Acc.tree: 0.8948, Acc.ceiling: 0.9391, Acc.road: 0.9103, Acc.bed : 0.9757, Acc.windowpane: 0.8192, Acc.grass: 0.9085, Acc.cabinet: 0.7897, Acc.sidewalk: 0.8586, Acc.person: 0.9479, Acc.earth: 0.5546, Acc.door: 0.7357, Acc.table: 0.8438, Acc.mountain: 0.7733, Acc.plant: 0.6925, Acc.curtain: 0.9103, Acc.chair: 0.7927, Acc.car: 0.9429, Acc.water: 0.7406, Acc.painting: 0.9081, Acc.sofa: 0.9143, Acc.shelf: 0.7019, Acc.house: 0.6044, Acc.sea: 0.8497, Acc.mirror: 0.9130, Acc.rug: 0.8332, Acc.field: 0.4650, Acc.armchair: 0.7393, Acc.seat: 0.8204, Acc.fence: 0.7928, Acc.desk: 0.8304, Acc.rock: 0.7297, Acc.wardrobe: 0.7750, Acc.lamp: 0.9056, Acc.bathtub: 0.9355, Acc.railing: 0.6254, Acc.cushion: 0.7907, Acc.base: 0.6017, Acc.box: 0.5601, Acc.column: 0.7271, Acc.signboard: 0.6514, Acc.chest of drawers: 0.6657, Acc.counter: 0.5428, Acc.sand: 0.8587, Acc.sink: 0.8641, Acc.skyscraper: 0.5454, Acc.fireplace: 0.9697, Acc.refrigerator: 0.9331, Acc.grandstand: 0.8298, Acc.path: 0.4132, Acc.stairs: 0.6358, Acc.runway: 0.9694, Acc.case: 0.8688, Acc.pool table: 0.9822, Acc.pillow: 0.8328, Acc.screen door: 0.9108, Acc.stairway: 0.7160, Acc.river: 0.2620, Acc.bridge: 0.7366, Acc.bookcase: 0.6301, Acc.blind: 0.4724, Acc.coffee table: 0.8844, Acc.toilet: 0.9505, Acc.flower: 0.7664, Acc.book: 0.8190, Acc.hill: 0.1022, Acc.bench: 0.8489, Acc.countertop: 0.8872, Acc.stove: 0.9234, Acc.palm: 0.8362, Acc.kitchen island: 0.8446, Acc.computer: 0.9019, Acc.swivel chair: 0.7794, Acc.boat: 0.9009, Acc.bar: 0.7980, Acc.arcade machine: 0.8966, Acc.hovel: 0.4685, Acc.bus: 0.9759, Acc.towel: 0.9130, Acc.light: 0.8286, Acc.truck: 0.7380, Acc.tower: 0.4829, Acc.chandelier: 0.8972, Acc.awning: 0.5260, Acc.streetlight: 0.6971, Acc.booth: 0.7247, Acc.television receiver: 0.9089, Acc.airplane: 0.9742, Acc.dirt track: 0.3441, Acc.apparel: 0.8585, Acc.pole: 0.5582, Acc.land: 0.0680, Acc.bannister: 0.3571, Acc.escalator: 0.8272, Acc.ottoman: 0.7413, Acc.bottle: 0.7821, Acc.buffet: 0.6995, Acc.poster: 0.4513, Acc.stage: 0.4716, Acc.van: 0.7475, Acc.ship: 0.9156, Acc.fountain: 0.2518, Acc.conveyer belt: 0.9772, Acc.canopy: 0.9050, Acc.washer: 0.9394, Acc.plaything: 0.6768, Acc.swimming pool: 0.7322, Acc.stool: 0.7957, Acc.barrel: 0.9779, Acc.basket: 0.7216, Acc.waterfall: 0.8678, Acc.tent: 0.9827, Acc.bag: 0.3445, Acc.minibike: 0.9325, Acc.cradle: 0.9777, Acc.oven: 0.8261, Acc.ball: 0.5662, Acc.food: 0.7863, Acc.step: 0.2565, Acc.tank: 0.6639, Acc.trade name: 0.3518, Acc.microwave: 0.9401, Acc.pot: 0.8118, Acc.animal: 0.8085, Acc.bicycle: 0.8191, Acc.lake: 0.6920, Acc.dishwasher: 0.9054, Acc.screen: 0.8162, Acc.blanket: 0.4800, Acc.sculpture: 0.9154, Acc.hood: 0.7789, Acc.sconce: 0.7880, Acc.vase: 0.8238, Acc.traffic light: 0.7292, Acc.tray: 0.4796, Acc.ashcan: 0.8013, Acc.fan: 0.8722, Acc.pier: 0.4381, Acc.crt screen: 0.0360, Acc.plate: 0.8123, Acc.monitor: 0.1516, Acc.bulletin board: 0.6048, Acc.shower: 0.2867, Acc.radiator: 0.9240, Acc.glass: 0.3096, Acc.clock: 0.7107, Acc.flag: 0.8527 2022-09-16 09:05:59,282 - mmseg - INFO - Iter [64050/80000] lr: 2.863e-07, eta: 8:51:57, time: 4.118, data_time: 2.254, memory: 47124, decode.loss_cls: 0.2393, decode.loss_mask: 0.4665, decode.loss_dice: 0.7086, decode.d0.loss_cls: 1.6713, decode.d0.loss_mask: 0.5036, decode.d0.loss_dice: 0.8077, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7479, decode.d2.loss_cls: 0.2859, decode.d2.loss_mask: 0.4750, decode.d2.loss_dice: 0.7276, decode.d3.loss_cls: 0.2689, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7177, decode.d4.loss_cls: 0.2561, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2434, decode.d5.loss_mask: 0.4671, decode.d5.loss_dice: 0.7113, decode.d6.loss_cls: 0.2425, decode.d6.loss_mask: 0.4678, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2391, decode.d7.loss_mask: 0.4673, decode.d7.loss_dice: 0.7123, decode.d8.loss_cls: 0.2391, decode.d8.loss_mask: 0.4661, decode.d8.loss_dice: 0.7066, loss: 16.0347 2022-09-16 09:07:32,723 - mmseg - INFO - Iter [64100/80000] lr: 2.854e-07, eta: 8:50:14, time: 1.867, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2384, decode.loss_mask: 0.4759, decode.loss_dice: 0.7021, decode.d0.loss_cls: 1.6779, decode.d0.loss_mask: 0.5068, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3246, decode.d1.loss_mask: 0.4956, decode.d1.loss_dice: 0.7560, decode.d2.loss_cls: 0.2743, decode.d2.loss_mask: 0.4856, decode.d2.loss_dice: 0.7293, decode.d3.loss_cls: 0.2624, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7171, decode.d4.loss_cls: 0.2502, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7061, decode.d5.loss_cls: 0.2448, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7084, decode.d6.loss_cls: 0.2442, decode.d6.loss_mask: 0.4764, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.7077, decode.d8.loss_cls: 0.2361, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7013, loss: 16.0531 2022-09-16 09:09:06,877 - mmseg - INFO - Iter [64150/80000] lr: 2.845e-07, eta: 8:48:31, time: 1.885, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2291, decode.loss_mask: 0.4918, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.6409, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8252, decode.d1.loss_cls: 0.3230, decode.d1.loss_mask: 0.5147, decode.d1.loss_dice: 0.7742, decode.d2.loss_cls: 0.2756, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7496, decode.d3.loss_cls: 0.2532, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7386, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4978, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4974, decode.d5.loss_dice: 0.7340, decode.d6.loss_cls: 0.2318, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7226, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2307, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7269, loss: 16.3760 2022-09-16 09:10:41,169 - mmseg - INFO - Iter [64200/80000] lr: 2.836e-07, eta: 8:46:49, time: 1.886, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2432, decode.loss_mask: 0.4723, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.6529, decode.d0.loss_mask: 0.5107, decode.d0.loss_dice: 0.8074, decode.d1.loss_cls: 0.3340, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7546, decode.d2.loss_cls: 0.2874, decode.d2.loss_mask: 0.4832, decode.d2.loss_dice: 0.7195, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2528, decode.d4.loss_mask: 0.4776, decode.d4.loss_dice: 0.7089, decode.d5.loss_cls: 0.2472, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2474, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.6996, decode.d7.loss_cls: 0.2441, decode.d7.loss_mask: 0.4708, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.2392, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.7030, loss: 16.0406 2022-09-16 09:12:15,567 - mmseg - INFO - Iter [64250/80000] lr: 2.827e-07, eta: 8:45:07, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2424, decode.loss_mask: 0.4892, decode.loss_dice: 0.7122, decode.d0.loss_cls: 1.6791, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8131, decode.d1.loss_cls: 0.3403, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7690, decode.d2.loss_cls: 0.2914, decode.d2.loss_mask: 0.4992, decode.d2.loss_dice: 0.7375, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.4924, decode.d3.loss_dice: 0.7202, decode.d4.loss_cls: 0.2570, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7213, decode.d5.loss_cls: 0.2503, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2462, decode.d6.loss_mask: 0.4876, decode.d6.loss_dice: 0.7116, decode.d7.loss_cls: 0.2426, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7100, decode.d8.loss_cls: 0.2400, decode.d8.loss_mask: 0.4875, decode.d8.loss_dice: 0.7140, loss: 16.3481 2022-09-16 09:13:49,812 - mmseg - INFO - Iter [64300/80000] lr: 2.818e-07, eta: 8:43:25, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2107, decode.loss_mask: 0.4963, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.5876, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.7844, decode.d1.loss_cls: 0.2975, decode.d1.loss_mask: 0.5230, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2479, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2310, decode.d3.loss_mask: 0.4995, decode.d3.loss_dice: 0.7036, decode.d4.loss_cls: 0.2202, decode.d4.loss_mask: 0.5028, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2128, decode.d5.loss_mask: 0.5005, decode.d5.loss_dice: 0.7022, decode.d6.loss_cls: 0.2110, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.6976, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2151, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.6942, loss: 15.8318 2022-09-16 09:15:23,012 - mmseg - INFO - Iter [64350/80000] lr: 2.809e-07, eta: 8:41:42, time: 1.862, data_time: 0.023, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4729, decode.loss_dice: 0.7066, decode.d0.loss_cls: 1.6656, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.8065, decode.d1.loss_cls: 0.3194, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7577, decode.d2.loss_cls: 0.2714, decode.d2.loss_mask: 0.4846, decode.d2.loss_dice: 0.7299, decode.d3.loss_cls: 0.2555, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2351, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.7170, decode.d6.loss_cls: 0.2314, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.7103, decode.d7.loss_cls: 0.2274, decode.d7.loss_mask: 0.4741, decode.d7.loss_dice: 0.7079, decode.d8.loss_cls: 0.2277, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7081, loss: 15.9981 2022-09-16 09:16:56,226 - mmseg - INFO - Iter [64400/80000] lr: 2.800e-07, eta: 8:39:59, time: 1.866, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2223, decode.loss_mask: 0.4575, decode.loss_dice: 0.6873, decode.d0.loss_cls: 1.5992, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7880, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7460, decode.d2.loss_cls: 0.2695, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2507, decode.d3.loss_mask: 0.4656, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2444, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4599, decode.d5.loss_dice: 0.6964, decode.d6.loss_cls: 0.2340, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.2318, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6869, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6869, loss: 15.5662 2022-09-16 09:18:34,718 - mmseg - INFO - Iter [64450/80000] lr: 2.791e-07, eta: 8:38:19, time: 1.970, data_time: 0.066, memory: 47124, decode.loss_cls: 0.2464, decode.loss_mask: 0.4710, decode.loss_dice: 0.7004, decode.d0.loss_cls: 1.6883, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.8167, decode.d1.loss_cls: 0.3412, decode.d1.loss_mask: 0.4952, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2863, decode.d2.loss_mask: 0.4844, decode.d2.loss_dice: 0.7301, decode.d3.loss_cls: 0.2672, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7193, decode.d4.loss_cls: 0.2560, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2516, decode.d5.loss_mask: 0.4747, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2429, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7072, decode.d8.loss_cls: 0.2480, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.7030, loss: 16.1551 2022-09-16 09:20:09,400 - mmseg - INFO - Iter [64500/80000] lr: 2.782e-07, eta: 8:36:37, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2277, decode.loss_mask: 0.4653, decode.loss_dice: 0.7032, decode.d0.loss_cls: 1.6308, decode.d0.loss_mask: 0.5045, decode.d0.loss_dice: 0.8109, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7548, decode.d2.loss_cls: 0.2729, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2538, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7222, decode.d4.loss_cls: 0.2445, decode.d4.loss_mask: 0.4708, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4691, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2342, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.7103, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7045, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.7067, loss: 15.9069 2022-09-16 09:21:43,494 - mmseg - INFO - Iter [64550/80000] lr: 2.773e-07, eta: 8:34:55, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2331, decode.loss_mask: 0.4705, decode.loss_dice: 0.7126, decode.d0.loss_cls: 1.6361, decode.d0.loss_mask: 0.5048, decode.d0.loss_dice: 0.8120, decode.d1.loss_cls: 0.3177, decode.d1.loss_mask: 0.4954, decode.d1.loss_dice: 0.7608, decode.d2.loss_cls: 0.2739, decode.d2.loss_mask: 0.4864, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2592, decode.d3.loss_mask: 0.4786, decode.d3.loss_dice: 0.7295, decode.d4.loss_cls: 0.2541, decode.d4.loss_mask: 0.4740, decode.d4.loss_dice: 0.7224, decode.d5.loss_cls: 0.2432, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4739, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2406, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.7148, loss: 16.0824 2022-09-16 09:23:17,615 - mmseg - INFO - Iter [64600/80000] lr: 2.764e-07, eta: 8:33:12, time: 1.883, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2405, decode.loss_mask: 0.4694, decode.loss_dice: 0.7015, decode.d0.loss_cls: 1.6450, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3325, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2841, decode.d2.loss_mask: 0.4858, decode.d2.loss_dice: 0.7280, decode.d3.loss_cls: 0.2681, decode.d3.loss_mask: 0.4768, decode.d3.loss_dice: 0.7155, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.7135, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4736, decode.d5.loss_dice: 0.7090, decode.d6.loss_cls: 0.2447, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7006, decode.d7.loss_cls: 0.2385, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.6997, decode.d8.loss_cls: 0.2403, decode.d8.loss_mask: 0.4683, decode.d8.loss_dice: 0.7023, loss: 16.0198 2022-09-16 09:24:51,376 - mmseg - INFO - Iter [64650/80000] lr: 2.755e-07, eta: 8:31:30, time: 1.875, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2326, decode.loss_mask: 0.4939, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.5842, decode.d0.loss_mask: 0.5327, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.5164, decode.d1.loss_dice: 0.7575, decode.d2.loss_cls: 0.2764, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7334, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2508, decode.d4.loss_mask: 0.4983, decode.d4.loss_dice: 0.7166, decode.d5.loss_cls: 0.2395, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7129, decode.d6.loss_cls: 0.2332, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2276, decode.d7.loss_mask: 0.4952, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2328, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7022, loss: 16.1349 2022-09-16 09:26:26,980 - mmseg - INFO - Iter [64700/80000] lr: 2.746e-07, eta: 8:29:48, time: 1.913, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2455, decode.loss_mask: 0.4826, decode.loss_dice: 0.6988, decode.d0.loss_cls: 1.6839, decode.d0.loss_mask: 0.5256, decode.d0.loss_dice: 0.8081, decode.d1.loss_cls: 0.3450, decode.d1.loss_mask: 0.5096, decode.d1.loss_dice: 0.7557, decode.d2.loss_cls: 0.2937, decode.d2.loss_mask: 0.4970, decode.d2.loss_dice: 0.7225, decode.d3.loss_cls: 0.2766, decode.d3.loss_mask: 0.4904, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2663, decode.d4.loss_mask: 0.4885, decode.d4.loss_dice: 0.7098, decode.d5.loss_cls: 0.2576, decode.d5.loss_mask: 0.4874, decode.d5.loss_dice: 0.7083, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4843, decode.d6.loss_dice: 0.7057, decode.d7.loss_cls: 0.2452, decode.d7.loss_mask: 0.4842, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.2454, decode.d8.loss_mask: 0.4841, decode.d8.loss_dice: 0.7019, loss: 16.2763 2022-09-16 09:28:00,474 - mmseg - INFO - Iter [64750/80000] lr: 2.737e-07, eta: 8:28:06, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2355, decode.loss_mask: 0.4775, decode.loss_dice: 0.6977, decode.d0.loss_cls: 1.6302, decode.d0.loss_mask: 0.5206, decode.d0.loss_dice: 0.8014, decode.d1.loss_cls: 0.3234, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7462, decode.d2.loss_cls: 0.2750, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.4840, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.4820, decode.d4.loss_dice: 0.7024, decode.d5.loss_cls: 0.2445, decode.d5.loss_mask: 0.4802, decode.d5.loss_dice: 0.7060, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4821, decode.d6.loss_dice: 0.7018, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4788, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2367, decode.d8.loss_mask: 0.4790, decode.d8.loss_dice: 0.6981, loss: 15.9973 2022-09-16 09:29:33,346 - mmseg - INFO - Iter [64800/80000] lr: 2.728e-07, eta: 8:26:23, time: 1.858, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2145, decode.loss_mask: 0.4481, decode.loss_dice: 0.6811, decode.d0.loss_cls: 1.6238, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.7877, decode.d1.loss_cls: 0.3063, decode.d1.loss_mask: 0.4678, decode.d1.loss_dice: 0.7332, decode.d2.loss_cls: 0.2557, decode.d2.loss_mask: 0.4589, decode.d2.loss_dice: 0.7026, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.4529, decode.d3.loss_dice: 0.6957, decode.d4.loss_cls: 0.2232, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2182, decode.d5.loss_mask: 0.4495, decode.d5.loss_dice: 0.6903, decode.d6.loss_cls: 0.2184, decode.d6.loss_mask: 0.4478, decode.d6.loss_dice: 0.6838, decode.d7.loss_cls: 0.2138, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6882, decode.d8.loss_cls: 0.2145, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6845, loss: 15.3329 2022-09-16 09:31:07,709 - mmseg - INFO - Iter [64850/80000] lr: 2.719e-07, eta: 8:24:41, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2457, decode.loss_mask: 0.4898, decode.loss_dice: 0.7294, decode.d0.loss_cls: 1.6572, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8309, decode.d1.loss_cls: 0.3355, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.7792, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.5061, decode.d2.loss_dice: 0.7509, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7407, decode.d4.loss_cls: 0.2550, decode.d4.loss_mask: 0.5002, decode.d4.loss_dice: 0.7408, decode.d5.loss_cls: 0.2503, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7370, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4959, decode.d6.loss_dice: 0.7342, decode.d7.loss_cls: 0.2448, decode.d7.loss_mask: 0.4910, decode.d7.loss_dice: 0.7301, decode.d8.loss_cls: 0.2419, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7270, loss: 16.5489 2022-09-16 09:32:42,032 - mmseg - INFO - Iter [64900/80000] lr: 2.710e-07, eta: 8:22:59, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2411, decode.loss_mask: 0.4769, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.5985, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.8177, decode.d1.loss_cls: 0.3301, decode.d1.loss_mask: 0.5032, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2867, decode.d2.loss_mask: 0.4928, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7321, decode.d4.loss_cls: 0.2563, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2497, decode.d5.loss_mask: 0.4830, decode.d5.loss_dice: 0.7216, decode.d6.loss_cls: 0.2458, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7192, decode.d7.loss_cls: 0.2404, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2398, decode.d8.loss_mask: 0.4779, decode.d8.loss_dice: 0.7149, loss: 16.2245 2022-09-16 09:34:17,658 - mmseg - INFO - Iter [64950/80000] lr: 2.701e-07, eta: 8:21:18, time: 1.913, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2480, decode.loss_mask: 0.4622, decode.loss_dice: 0.7187, decode.d0.loss_cls: 1.6816, decode.d0.loss_mask: 0.5031, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3434, decode.d1.loss_mask: 0.4873, decode.d1.loss_dice: 0.7766, decode.d2.loss_cls: 0.2885, decode.d2.loss_mask: 0.4803, decode.d2.loss_dice: 0.7489, decode.d3.loss_cls: 0.2777, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7388, decode.d4.loss_cls: 0.2674, decode.d4.loss_mask: 0.4682, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2575, decode.d5.loss_mask: 0.4674, decode.d5.loss_dice: 0.7289, decode.d6.loss_cls: 0.2551, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2486, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7205, decode.d8.loss_cls: 0.2421, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.7266, loss: 16.2818 2022-09-16 09:35:51,633 - mmseg - INFO - Saving checkpoint at 65000 iterations 2022-09-16 09:36:22,922 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 09:36:22,931 - mmseg - INFO - Iter [65000/80000] lr: 2.692e-07, eta: 8:19:47, time: 2.503, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2318, decode.loss_mask: 0.4617, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.6368, decode.d0.loss_mask: 0.5020, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.3141, decode.d1.loss_mask: 0.4868, decode.d1.loss_dice: 0.7392, decode.d2.loss_cls: 0.2683, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7235, decode.d3.loss_cls: 0.2566, decode.d3.loss_mask: 0.4710, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.2470, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2403, decode.d5.loss_mask: 0.4671, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6979, decode.d7.loss_cls: 0.2302, decode.d7.loss_mask: 0.4633, decode.d7.loss_dice: 0.6974, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4634, decode.d8.loss_dice: 0.6960, loss: 15.7559 2022-09-16 09:37:57,226 - mmseg - INFO - Iter [65050/80000] lr: 2.683e-07, eta: 8:18:05, time: 1.889, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2243, decode.loss_mask: 0.4499, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.6777, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7857, decode.d1.loss_cls: 0.3148, decode.d1.loss_mask: 0.4757, decode.d1.loss_dice: 0.7406, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4610, decode.d2.loss_dice: 0.7164, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4568, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2368, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.7019, decode.d5.loss_cls: 0.2320, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6945, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6948, decode.d7.loss_cls: 0.2209, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6920, decode.d8.loss_cls: 0.2231, decode.d8.loss_mask: 0.4496, decode.d8.loss_dice: 0.6928, loss: 15.5618 2022-09-16 09:39:30,694 - mmseg - INFO - Iter [65100/80000] lr: 2.674e-07, eta: 8:16:23, time: 1.869, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2411, decode.loss_mask: 0.4867, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.6606, decode.d0.loss_mask: 0.5211, decode.d0.loss_dice: 0.8089, decode.d1.loss_cls: 0.3274, decode.d1.loss_mask: 0.5073, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2839, decode.d2.loss_mask: 0.4942, decode.d2.loss_dice: 0.7304, decode.d3.loss_cls: 0.2600, decode.d3.loss_mask: 0.4935, decode.d3.loss_dice: 0.7163, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7109, decode.d5.loss_cls: 0.2463, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7077, decode.d6.loss_cls: 0.2430, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7023, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7070, decode.d8.loss_cls: 0.2438, decode.d8.loss_mask: 0.4849, decode.d8.loss_dice: 0.7022, loss: 16.1794 2022-09-16 09:41:05,551 - mmseg - INFO - Iter [65150/80000] lr: 2.665e-07, eta: 8:14:41, time: 1.895, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2298, decode.loss_mask: 0.4755, decode.loss_dice: 0.6851, decode.d0.loss_cls: 1.6269, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7396, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4889, decode.d2.loss_dice: 0.7158, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.4830, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4779, decode.d4.loss_dice: 0.6966, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.6930, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.4745, decode.d6.loss_dice: 0.6927, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.6884, decode.d8.loss_cls: 0.2236, decode.d8.loss_mask: 0.4746, decode.d8.loss_dice: 0.6896, loss: 15.8181 2022-09-16 09:42:40,187 - mmseg - INFO - Iter [65200/80000] lr: 2.656e-07, eta: 8:12:59, time: 1.895, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4635, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.6153, decode.d0.loss_mask: 0.5018, decode.d0.loss_dice: 0.7871, decode.d1.loss_cls: 0.3154, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7076, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.6973, decode.d4.loss_cls: 0.2394, decode.d4.loss_mask: 0.4713, decode.d4.loss_dice: 0.6948, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4701, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2300, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2269, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.6884, decode.d8.loss_cls: 0.2297, decode.d8.loss_mask: 0.4632, decode.d8.loss_dice: 0.6915, loss: 15.6722 2022-09-16 09:44:14,380 - mmseg - INFO - Iter [65250/80000] lr: 2.647e-07, eta: 8:11:17, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2231, decode.loss_mask: 0.4689, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.5909, decode.d0.loss_mask: 0.5085, decode.d0.loss_dice: 0.7902, decode.d1.loss_cls: 0.2976, decode.d1.loss_mask: 0.4917, decode.d1.loss_dice: 0.7468, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7210, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7075, decode.d4.loss_cls: 0.2306, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7012, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2286, decode.d6.loss_mask: 0.4676, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.6992, loss: 15.6472 2022-09-16 09:45:48,887 - mmseg - INFO - Iter [65300/80000] lr: 2.638e-07, eta: 8:09:35, time: 1.888, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2285, decode.loss_mask: 0.4943, decode.loss_dice: 0.7138, decode.d0.loss_cls: 1.6034, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.8094, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.5254, decode.d1.loss_dice: 0.7693, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.5106, decode.d2.loss_dice: 0.7454, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7306, decode.d4.loss_cls: 0.2380, decode.d4.loss_mask: 0.5022, decode.d4.loss_dice: 0.7249, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.5006, decode.d5.loss_dice: 0.7244, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4991, decode.d6.loss_dice: 0.7162, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4991, decode.d7.loss_dice: 0.7192, decode.d8.loss_cls: 0.2298, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7178, loss: 16.2408 2022-09-16 09:47:22,100 - mmseg - INFO - Iter [65350/80000] lr: 2.629e-07, eta: 8:07:53, time: 1.866, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4717, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.6212, decode.d0.loss_mask: 0.5132, decode.d0.loss_dice: 0.7835, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.4969, decode.d1.loss_dice: 0.7297, decode.d2.loss_cls: 0.2645, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7043, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4810, decode.d3.loss_dice: 0.6899, decode.d4.loss_cls: 0.2431, decode.d4.loss_mask: 0.4779, decode.d4.loss_dice: 0.6830, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4755, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.2269, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2253, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.2224, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.6775, loss: 15.6412 2022-09-16 09:48:56,334 - mmseg - INFO - Iter [65400/80000] lr: 2.621e-07, eta: 8:06:11, time: 1.885, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2592, decode.loss_mask: 0.4878, decode.loss_dice: 0.7211, decode.d0.loss_cls: 1.6256, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8411, decode.d1.loss_cls: 0.3491, decode.d1.loss_mask: 0.5163, decode.d1.loss_dice: 0.7838, decode.d2.loss_cls: 0.3009, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7501, decode.d3.loss_cls: 0.2801, decode.d3.loss_mask: 0.4997, decode.d3.loss_dice: 0.7369, decode.d4.loss_cls: 0.2679, decode.d4.loss_mask: 0.4979, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2643, decode.d5.loss_mask: 0.4954, decode.d5.loss_dice: 0.7279, decode.d6.loss_cls: 0.2622, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7263, decode.d7.loss_cls: 0.2584, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7199, decode.d8.loss_cls: 0.2565, decode.d8.loss_mask: 0.4902, decode.d8.loss_dice: 0.7247, loss: 16.5971 2022-09-16 09:50:30,634 - mmseg - INFO - Iter [65450/80000] lr: 2.612e-07, eta: 8:04:29, time: 1.886, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2355, decode.loss_mask: 0.4631, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.6224, decode.d0.loss_mask: 0.5046, decode.d0.loss_dice: 0.7876, decode.d1.loss_cls: 0.3229, decode.d1.loss_mask: 0.4900, decode.d1.loss_dice: 0.7392, decode.d2.loss_cls: 0.2804, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7098, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.2525, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.6934, decode.d5.loss_cls: 0.2444, decode.d5.loss_mask: 0.4676, decode.d5.loss_dice: 0.6944, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.4660, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.2380, decode.d7.loss_mask: 0.4646, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.2382, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6886, loss: 15.7423 2022-09-16 09:52:04,912 - mmseg - INFO - Iter [65500/80000] lr: 2.603e-07, eta: 8:02:47, time: 1.886, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2316, decode.loss_mask: 0.4796, decode.loss_dice: 0.7111, decode.d0.loss_cls: 1.6506, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8109, decode.d1.loss_cls: 0.3161, decode.d1.loss_mask: 0.5060, decode.d1.loss_dice: 0.7595, decode.d2.loss_cls: 0.2775, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7353, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4863, decode.d3.loss_dice: 0.7230, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.7206, decode.d5.loss_cls: 0.2363, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7170, decode.d6.loss_cls: 0.2296, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.7176, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7163, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.7113, loss: 16.1123 2022-09-16 09:53:39,722 - mmseg - INFO - Iter [65550/80000] lr: 2.594e-07, eta: 8:01:06, time: 1.896, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2264, decode.loss_mask: 0.4628, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.6443, decode.d0.loss_mask: 0.4982, decode.d0.loss_dice: 0.7838, decode.d1.loss_cls: 0.3230, decode.d1.loss_mask: 0.4839, decode.d1.loss_dice: 0.7333, decode.d2.loss_cls: 0.2721, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2570, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.2449, decode.d4.loss_mask: 0.4648, decode.d4.loss_dice: 0.6947, decode.d5.loss_cls: 0.2324, decode.d5.loss_mask: 0.4640, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2278, decode.d6.loss_mask: 0.4637, decode.d6.loss_dice: 0.6857, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4660, decode.d7.loss_dice: 0.6904, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4633, decode.d8.loss_dice: 0.6855, loss: 15.6271 2022-09-16 09:55:14,912 - mmseg - INFO - Iter [65600/80000] lr: 2.585e-07, eta: 7:59:24, time: 1.904, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2409, decode.loss_mask: 0.4959, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.6682, decode.d0.loss_mask: 0.5387, decode.d0.loss_dice: 0.8296, decode.d1.loss_cls: 0.3409, decode.d1.loss_mask: 0.5242, decode.d1.loss_dice: 0.7753, decode.d2.loss_cls: 0.2860, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7434, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7294, decode.d4.loss_cls: 0.2570, decode.d4.loss_mask: 0.4984, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2517, decode.d5.loss_mask: 0.4965, decode.d5.loss_dice: 0.7269, decode.d6.loss_cls: 0.2454, decode.d6.loss_mask: 0.4961, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2406, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.7245, decode.d8.loss_cls: 0.2439, decode.d8.loss_mask: 0.4958, decode.d8.loss_dice: 0.7207, loss: 16.5277 2022-09-16 09:56:50,270 - mmseg - INFO - Iter [65650/80000] lr: 2.576e-07, eta: 7:57:43, time: 1.907, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2308, decode.loss_mask: 0.4625, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.6250, decode.d0.loss_mask: 0.5015, decode.d0.loss_dice: 0.7912, decode.d1.loss_cls: 0.3131, decode.d1.loss_mask: 0.4884, decode.d1.loss_dice: 0.7483, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.7188, decode.d3.loss_cls: 0.2587, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2429, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7016, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.6955, decode.d6.loss_cls: 0.2361, decode.d6.loss_mask: 0.4644, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2327, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.6942, decode.d8.loss_cls: 0.2315, decode.d8.loss_mask: 0.4645, decode.d8.loss_dice: 0.6956, loss: 15.7258 2022-09-16 09:58:24,283 - mmseg - INFO - Iter [65700/80000] lr: 2.567e-07, eta: 7:56:01, time: 1.880, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2358, decode.loss_mask: 0.4517, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.6686, decode.d0.loss_mask: 0.4908, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.3204, decode.d1.loss_mask: 0.4740, decode.d1.loss_dice: 0.7517, decode.d2.loss_cls: 0.2742, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2595, decode.d3.loss_mask: 0.4583, decode.d3.loss_dice: 0.7120, decode.d4.loss_cls: 0.2463, decode.d4.loss_mask: 0.4580, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2431, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.7037, decode.d6.loss_cls: 0.2394, decode.d6.loss_mask: 0.4536, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2342, decode.d7.loss_mask: 0.4525, decode.d7.loss_dice: 0.6976, decode.d8.loss_cls: 0.2351, decode.d8.loss_mask: 0.4511, decode.d8.loss_dice: 0.6968, loss: 15.7493 2022-09-16 10:00:00,281 - mmseg - INFO - Iter [65750/80000] lr: 2.558e-07, eta: 7:54:20, time: 1.920, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2318, decode.loss_mask: 0.4681, decode.loss_dice: 0.6944, decode.d0.loss_cls: 1.6696, decode.d0.loss_mask: 0.5054, decode.d0.loss_dice: 0.7988, decode.d1.loss_cls: 0.3227, decode.d1.loss_mask: 0.4864, decode.d1.loss_dice: 0.7424, decode.d2.loss_cls: 0.2805, decode.d2.loss_mask: 0.4755, decode.d2.loss_dice: 0.7196, decode.d3.loss_cls: 0.2608, decode.d3.loss_mask: 0.4699, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.7079, decode.d5.loss_cls: 0.2420, decode.d5.loss_mask: 0.4689, decode.d5.loss_dice: 0.7013, decode.d6.loss_cls: 0.2350, decode.d6.loss_mask: 0.4673, decode.d6.loss_dice: 0.6947, decode.d7.loss_cls: 0.2322, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.2311, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.6949, loss: 15.8580 2022-09-16 10:01:34,265 - mmseg - INFO - Iter [65800/80000] lr: 2.549e-07, eta: 7:52:38, time: 1.880, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2352, decode.loss_mask: 0.4765, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.6719, decode.d0.loss_mask: 0.5140, decode.d0.loss_dice: 0.8207, decode.d1.loss_cls: 0.3345, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7648, decode.d2.loss_cls: 0.2908, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7421, decode.d3.loss_cls: 0.2629, decode.d3.loss_mask: 0.4830, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2550, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7324, decode.d5.loss_cls: 0.2448, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2385, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7189, decode.d7.loss_cls: 0.2393, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7194, decode.d8.loss_cls: 0.2398, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.7240, loss: 16.2566 2022-09-16 10:03:08,572 - mmseg - INFO - Iter [65850/80000] lr: 2.540e-07, eta: 7:50:56, time: 1.886, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2333, decode.loss_mask: 0.4579, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.6287, decode.d0.loss_mask: 0.4956, decode.d0.loss_dice: 0.7977, decode.d1.loss_cls: 0.3175, decode.d1.loss_mask: 0.4822, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.4712, decode.d2.loss_dice: 0.7206, decode.d3.loss_cls: 0.2593, decode.d3.loss_mask: 0.4649, decode.d3.loss_dice: 0.7108, decode.d4.loss_cls: 0.2483, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.6997, decode.d6.loss_cls: 0.2410, decode.d6.loss_mask: 0.4579, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2331, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.7018, loss: 15.7555 2022-09-16 10:04:41,971 - mmseg - INFO - Iter [65900/80000] lr: 2.531e-07, eta: 7:49:14, time: 1.868, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2233, decode.loss_mask: 0.4531, decode.loss_dice: 0.6754, decode.d0.loss_cls: 1.6263, decode.d0.loss_mask: 0.4899, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.3150, decode.d1.loss_mask: 0.4758, decode.d1.loss_dice: 0.7255, decode.d2.loss_cls: 0.2692, decode.d2.loss_mask: 0.4652, decode.d2.loss_dice: 0.6979, decode.d3.loss_cls: 0.2546, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.6873, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.6843, decode.d5.loss_cls: 0.2352, decode.d5.loss_mask: 0.4595, decode.d5.loss_dice: 0.6824, decode.d6.loss_cls: 0.2317, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.6780, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4538, decode.d7.loss_dice: 0.6773, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4541, decode.d8.loss_dice: 0.6793, loss: 15.4361 2022-09-16 10:06:17,284 - mmseg - INFO - Iter [65950/80000] lr: 2.522e-07, eta: 7:47:33, time: 1.906, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2299, decode.loss_mask: 0.4725, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.6617, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.7961, decode.d1.loss_cls: 0.3297, decode.d1.loss_mask: 0.5005, decode.d1.loss_dice: 0.7480, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7156, decode.d3.loss_cls: 0.2511, decode.d3.loss_mask: 0.4815, decode.d3.loss_dice: 0.7065, decode.d4.loss_cls: 0.2382, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7069, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4766, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2344, decode.d6.loss_mask: 0.4752, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.2328, decode.d7.loss_mask: 0.4748, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4744, decode.d8.loss_dice: 0.6981, loss: 15.9082 2022-09-16 10:07:52,157 - mmseg - INFO - Saving checkpoint at 66000 iterations 2022-09-16 10:08:23,961 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 10:08:23,970 - mmseg - INFO - Iter [66000/80000] lr: 2.513e-07, eta: 7:46:02, time: 2.531, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2244, decode.loss_mask: 0.4610, decode.loss_dice: 0.6775, decode.d0.loss_cls: 1.6275, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7833, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2668, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4666, decode.d3.loss_dice: 0.6931, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.2352, decode.d5.loss_mask: 0.4637, decode.d5.loss_dice: 0.6788, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.6791, decode.d7.loss_cls: 0.2280, decode.d7.loss_mask: 0.4588, decode.d7.loss_dice: 0.6742, decode.d8.loss_cls: 0.2314, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.6776, loss: 15.5343 2022-09-16 10:10:00,145 - mmseg - INFO - Iter [66050/80000] lr: 2.504e-07, eta: 7:44:21, time: 1.927, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2294, decode.loss_mask: 0.4645, decode.loss_dice: 0.7024, decode.d0.loss_cls: 1.6379, decode.d0.loss_mask: 0.5044, decode.d0.loss_dice: 0.8032, decode.d1.loss_cls: 0.3134, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7591, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4704, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2431, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7072, decode.d5.loss_cls: 0.2353, decode.d5.loss_mask: 0.4686, decode.d5.loss_dice: 0.7063, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.7050, decode.d7.loss_cls: 0.2321, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.7038, loss: 15.8503 2022-09-16 10:11:33,799 - mmseg - INFO - Iter [66100/80000] lr: 2.495e-07, eta: 7:42:39, time: 1.873, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2317, decode.loss_mask: 0.4678, decode.loss_dice: 0.7224, decode.d0.loss_cls: 1.6329, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3196, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2718, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2578, decode.d3.loss_mask: 0.4761, decode.d3.loss_dice: 0.7284, decode.d4.loss_cls: 0.2478, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2386, decode.d5.loss_mask: 0.4701, decode.d5.loss_dice: 0.7225, decode.d6.loss_cls: 0.2333, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.7219, decode.d7.loss_cls: 0.2268, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7240, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.4704, decode.d8.loss_dice: 0.7199, loss: 16.0583 2022-09-16 10:13:08,300 - mmseg - INFO - Iter [66150/80000] lr: 2.486e-07, eta: 7:40:57, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2248, decode.loss_mask: 0.4732, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.6219, decode.d0.loss_mask: 0.5128, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7390, decode.d2.loss_cls: 0.2719, decode.d2.loss_mask: 0.4856, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2519, decode.d3.loss_mask: 0.4808, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2409, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4766, decode.d5.loss_dice: 0.6941, decode.d6.loss_cls: 0.2316, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2291, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.6870, loss: 15.7608 2022-09-16 10:14:41,595 - mmseg - INFO - Iter [66200/80000] lr: 2.477e-07, eta: 7:39:15, time: 1.866, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2353, decode.loss_mask: 0.4791, decode.loss_dice: 0.7044, decode.d0.loss_cls: 1.6456, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.8019, decode.d1.loss_cls: 0.3249, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7543, decode.d2.loss_cls: 0.2724, decode.d2.loss_mask: 0.4925, decode.d2.loss_dice: 0.7290, decode.d3.loss_cls: 0.2551, decode.d3.loss_mask: 0.4875, decode.d3.loss_dice: 0.7114, decode.d4.loss_cls: 0.2454, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4820, decode.d5.loss_dice: 0.7091, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7009, decode.d7.loss_cls: 0.2301, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2321, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7000, loss: 16.0157 2022-09-16 10:16:15,929 - mmseg - INFO - Iter [66250/80000] lr: 2.468e-07, eta: 7:37:34, time: 1.887, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2360, decode.loss_mask: 0.4666, decode.loss_dice: 0.6968, decode.d0.loss_cls: 1.6537, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.8002, decode.d1.loss_cls: 0.3325, decode.d1.loss_mask: 0.4911, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2856, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7178, decode.d3.loss_cls: 0.2645, decode.d3.loss_mask: 0.4765, decode.d3.loss_dice: 0.7082, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7028, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4731, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2426, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.4688, decode.d7.loss_dice: 0.6960, decode.d8.loss_cls: 0.2393, decode.d8.loss_mask: 0.4672, decode.d8.loss_dice: 0.6935, loss: 15.9321 2022-09-16 10:17:50,448 - mmseg - INFO - Iter [66300/80000] lr: 2.459e-07, eta: 7:35:52, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2446, decode.loss_mask: 0.4733, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.6226, decode.d0.loss_mask: 0.5174, decode.d0.loss_dice: 0.8306, decode.d1.loss_cls: 0.3378, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7694, decode.d2.loss_cls: 0.2879, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7438, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.4826, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4832, decode.d4.loss_dice: 0.7271, decode.d5.loss_cls: 0.2586, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7234, decode.d6.loss_cls: 0.2557, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.7112, loss: 16.2668 2022-09-16 10:19:24,343 - mmseg - INFO - Iter [66350/80000] lr: 2.450e-07, eta: 7:34:10, time: 1.876, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2343, decode.loss_mask: 0.4897, decode.loss_dice: 0.7059, decode.d0.loss_cls: 1.6401, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.3189, decode.d1.loss_mask: 0.5114, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.5025, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2557, decode.d3.loss_mask: 0.4976, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4958, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2385, decode.d5.loss_mask: 0.4934, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4913, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2301, decode.d7.loss_mask: 0.4899, decode.d7.loss_dice: 0.7100, decode.d8.loss_cls: 0.2371, decode.d8.loss_mask: 0.4893, decode.d8.loss_dice: 0.7024, loss: 16.1359 2022-09-16 10:20:58,266 - mmseg - INFO - Iter [66400/80000] lr: 2.441e-07, eta: 7:32:29, time: 1.880, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2333, decode.loss_mask: 0.4730, decode.loss_dice: 0.7029, decode.d0.loss_cls: 1.6363, decode.d0.loss_mask: 0.5142, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3139, decode.d1.loss_mask: 0.5013, decode.d1.loss_dice: 0.7595, decode.d2.loss_cls: 0.2749, decode.d2.loss_mask: 0.4847, decode.d2.loss_dice: 0.7259, decode.d3.loss_cls: 0.2536, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2463, decode.d4.loss_mask: 0.4766, decode.d4.loss_dice: 0.7116, decode.d5.loss_cls: 0.2379, decode.d5.loss_mask: 0.4744, decode.d5.loss_dice: 0.7080, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4739, decode.d6.loss_dice: 0.7030, decode.d7.loss_cls: 0.2337, decode.d7.loss_mask: 0.4741, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2340, decode.d8.loss_mask: 0.4728, decode.d8.loss_dice: 0.7058, loss: 15.9713 2022-09-16 10:22:32,646 - mmseg - INFO - Iter [66450/80000] lr: 2.432e-07, eta: 7:30:47, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2113, decode.loss_mask: 0.4683, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.6148, decode.d0.loss_mask: 0.5036, decode.d0.loss_dice: 0.7938, decode.d1.loss_cls: 0.2972, decode.d1.loss_mask: 0.4961, decode.d1.loss_dice: 0.7505, decode.d2.loss_cls: 0.2550, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7177, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2270, decode.d4.loss_mask: 0.4723, decode.d4.loss_dice: 0.7060, decode.d5.loss_cls: 0.2236, decode.d5.loss_mask: 0.4706, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.2187, decode.d6.loss_mask: 0.4684, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7018, decode.d8.loss_cls: 0.2115, decode.d8.loss_mask: 0.4686, decode.d8.loss_dice: 0.6958, loss: 15.6592 2022-09-16 10:24:07,480 - mmseg - INFO - Iter [66500/80000] lr: 2.423e-07, eta: 7:29:06, time: 1.897, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2253, decode.loss_mask: 0.4634, decode.loss_dice: 0.6809, decode.d0.loss_cls: 1.6137, decode.d0.loss_mask: 0.5047, decode.d0.loss_dice: 0.7859, decode.d1.loss_cls: 0.2994, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7338, decode.d2.loss_cls: 0.2643, decode.d2.loss_mask: 0.4797, decode.d2.loss_dice: 0.7036, decode.d3.loss_cls: 0.2424, decode.d3.loss_mask: 0.4769, decode.d3.loss_dice: 0.6953, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4714, decode.d4.loss_dice: 0.6853, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4674, decode.d5.loss_dice: 0.6835, decode.d6.loss_cls: 0.2314, decode.d6.loss_mask: 0.4651, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6868, decode.d8.loss_cls: 0.2245, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.6784, loss: 15.5586 2022-09-16 10:25:42,411 - mmseg - INFO - Iter [66550/80000] lr: 2.414e-07, eta: 7:27:24, time: 1.897, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2385, decode.loss_mask: 0.4673, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.6205, decode.d0.loss_mask: 0.5087, decode.d0.loss_dice: 0.7856, decode.d1.loss_cls: 0.3248, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7356, decode.d2.loss_cls: 0.2857, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.6901, decode.d4.loss_cls: 0.2512, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2474, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.6864, decode.d6.loss_cls: 0.2448, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.6782, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.6793, decode.d8.loss_cls: 0.2377, decode.d8.loss_mask: 0.4663, decode.d8.loss_dice: 0.6782, loss: 15.7262 2022-09-16 10:27:16,539 - mmseg - INFO - Iter [66600/80000] lr: 2.405e-07, eta: 7:25:43, time: 1.884, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2337, decode.loss_mask: 0.4658, decode.loss_dice: 0.6784, decode.d0.loss_cls: 1.6411, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.7844, decode.d1.loss_cls: 0.3194, decode.d1.loss_mask: 0.4870, decode.d1.loss_dice: 0.7260, decode.d2.loss_cls: 0.2716, decode.d2.loss_mask: 0.4780, decode.d2.loss_dice: 0.7071, decode.d3.loss_cls: 0.2551, decode.d3.loss_mask: 0.4707, decode.d3.loss_dice: 0.6904, decode.d4.loss_cls: 0.2459, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.6930, decode.d5.loss_cls: 0.2382, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.6837, decode.d6.loss_cls: 0.2365, decode.d6.loss_mask: 0.4665, decode.d6.loss_dice: 0.6842, decode.d7.loss_cls: 0.2328, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.6830, decode.d8.loss_cls: 0.2364, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6803, loss: 15.6636 2022-09-16 10:28:50,031 - mmseg - INFO - Iter [66650/80000] lr: 2.396e-07, eta: 7:24:01, time: 1.870, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2143, decode.loss_mask: 0.4588, decode.loss_dice: 0.6865, decode.d0.loss_cls: 1.6034, decode.d0.loss_mask: 0.4915, decode.d0.loss_dice: 0.7895, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.4792, decode.d1.loss_dice: 0.7405, decode.d2.loss_cls: 0.2498, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7084, decode.d3.loss_cls: 0.2422, decode.d3.loss_mask: 0.4648, decode.d3.loss_dice: 0.7006, decode.d4.loss_cls: 0.2273, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4618, decode.d5.loss_dice: 0.6952, decode.d6.loss_cls: 0.2198, decode.d6.loss_mask: 0.4601, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2187, decode.d7.loss_mask: 0.4579, decode.d7.loss_dice: 0.6885, decode.d8.loss_cls: 0.2166, decode.d8.loss_mask: 0.4580, decode.d8.loss_dice: 0.6874, loss: 15.4616 2022-09-16 10:30:24,617 - mmseg - INFO - Iter [66700/80000] lr: 2.387e-07, eta: 7:22:20, time: 1.892, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2231, decode.loss_mask: 0.4895, decode.loss_dice: 0.7093, decode.d0.loss_cls: 1.6158, decode.d0.loss_mask: 0.5313, decode.d0.loss_dice: 0.8094, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.2662, decode.d2.loss_mask: 0.5013, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2458, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2280, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7218, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7189, decode.d7.loss_cls: 0.2212, decode.d7.loss_mask: 0.4920, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2215, decode.d8.loss_mask: 0.4907, decode.d8.loss_dice: 0.7142, loss: 16.1240 2022-09-16 10:32:00,397 - mmseg - INFO - Iter [66750/80000] lr: 2.378e-07, eta: 7:20:39, time: 1.916, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4731, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.6381, decode.d0.loss_mask: 0.5132, decode.d0.loss_dice: 0.8175, decode.d1.loss_cls: 0.3308, decode.d1.loss_mask: 0.4990, decode.d1.loss_dice: 0.7591, decode.d2.loss_cls: 0.2735, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7381, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7198, decode.d4.loss_cls: 0.2429, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2397, decode.d5.loss_mask: 0.4748, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4757, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2275, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7079, decode.d8.loss_cls: 0.2244, decode.d8.loss_mask: 0.4729, decode.d8.loss_dice: 0.7083, loss: 16.0203 2022-09-16 10:33:36,327 - mmseg - INFO - Iter [66800/80000] lr: 2.369e-07, eta: 7:18:58, time: 1.919, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2346, decode.loss_mask: 0.4740, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.6131, decode.d0.loss_mask: 0.5117, decode.d0.loss_dice: 0.7864, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.5012, decode.d1.loss_dice: 0.7410, decode.d2.loss_cls: 0.2709, decode.d2.loss_mask: 0.4882, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2553, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2474, decode.d4.loss_mask: 0.4812, decode.d4.loss_dice: 0.7066, decode.d5.loss_cls: 0.2385, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2329, decode.d6.loss_mask: 0.4756, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2304, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.6966, decode.d8.loss_cls: 0.2351, decode.d8.loss_mask: 0.4733, decode.d8.loss_dice: 0.6962, loss: 15.8541 2022-09-16 10:35:14,458 - mmseg - INFO - Iter [66850/80000] lr: 2.360e-07, eta: 7:17:17, time: 1.963, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4709, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.6259, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.3101, decode.d1.loss_mask: 0.4961, decode.d1.loss_dice: 0.7424, decode.d2.loss_cls: 0.2578, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4765, decode.d3.loss_dice: 0.7056, decode.d4.loss_cls: 0.2329, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7051, decode.d5.loss_cls: 0.2238, decode.d5.loss_mask: 0.4731, decode.d5.loss_dice: 0.7014, decode.d6.loss_cls: 0.2200, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2210, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.6966, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4708, decode.d8.loss_dice: 0.6996, loss: 15.7240 2022-09-16 10:36:52,576 - mmseg - INFO - Iter [66900/80000] lr: 2.351e-07, eta: 7:15:37, time: 1.962, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2279, decode.loss_mask: 0.4570, decode.loss_dice: 0.6925, decode.d0.loss_cls: 1.5759, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7956, decode.d1.loss_cls: 0.3090, decode.d1.loss_mask: 0.4852, decode.d1.loss_dice: 0.7480, decode.d2.loss_cls: 0.2710, decode.d2.loss_mask: 0.4698, decode.d2.loss_dice: 0.7143, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2415, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4609, decode.d5.loss_dice: 0.6981, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.6944, decode.d7.loss_cls: 0.2333, decode.d7.loss_mask: 0.4562, decode.d7.loss_dice: 0.6917, decode.d8.loss_cls: 0.2333, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.6908, loss: 15.6182 2022-09-16 10:38:29,514 - mmseg - INFO - Iter [66950/80000] lr: 2.342e-07, eta: 7:13:57, time: 1.939, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2269, decode.loss_mask: 0.4674, decode.loss_dice: 0.7018, decode.d0.loss_cls: 1.6436, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.8060, decode.d1.loss_cls: 0.3066, decode.d1.loss_mask: 0.4973, decode.d1.loss_dice: 0.7589, decode.d2.loss_cls: 0.2687, decode.d2.loss_mask: 0.4825, decode.d2.loss_dice: 0.7303, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2368, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7127, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4719, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2311, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7045, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7040, decode.d8.loss_cls: 0.2267, decode.d8.loss_mask: 0.4688, decode.d8.loss_dice: 0.7046, loss: 15.8702 2022-09-16 10:40:08,036 - mmseg - INFO - Saving checkpoint at 67000 iterations 2022-09-16 10:40:34,815 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 10:40:34,818 - mmseg - INFO - Iter [67000/80000] lr: 2.333e-07, eta: 7:12:24, time: 2.500, data_time: 0.065, memory: 47124, decode.loss_cls: 0.2478, decode.loss_mask: 0.4763, decode.loss_dice: 0.7047, decode.d0.loss_cls: 1.6695, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.8109, decode.d1.loss_cls: 0.3391, decode.d1.loss_mask: 0.5034, decode.d1.loss_dice: 0.7637, decode.d2.loss_cls: 0.2890, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7356, decode.d3.loss_cls: 0.2710, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7245, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7168, decode.d5.loss_cls: 0.2562, decode.d5.loss_mask: 0.4821, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2544, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.2513, decode.d7.loss_mask: 0.4768, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4770, decode.d8.loss_dice: 0.7092, loss: 16.2466 2022-09-16 10:42:09,798 - mmseg - INFO - Iter [67050/80000] lr: 2.324e-07, eta: 7:10:43, time: 1.905, data_time: 0.022, memory: 47124, decode.loss_cls: 0.2203, decode.loss_mask: 0.4603, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.6477, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7901, decode.d1.loss_cls: 0.3158, decode.d1.loss_mask: 0.4854, decode.d1.loss_dice: 0.7395, decode.d2.loss_cls: 0.2722, decode.d2.loss_mask: 0.4743, decode.d2.loss_dice: 0.7143, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4690, decode.d3.loss_dice: 0.7029, decode.d4.loss_cls: 0.2364, decode.d4.loss_mask: 0.4659, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2281, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4650, decode.d6.loss_dice: 0.6908, decode.d7.loss_cls: 0.2253, decode.d7.loss_mask: 0.4627, decode.d7.loss_dice: 0.6906, decode.d8.loss_cls: 0.2246, decode.d8.loss_mask: 0.4623, decode.d8.loss_dice: 0.6890, loss: 15.6561 2022-09-16 10:43:46,848 - mmseg - INFO - Iter [67100/80000] lr: 2.315e-07, eta: 7:09:03, time: 1.941, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2295, decode.loss_mask: 0.4715, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.6141, decode.d0.loss_mask: 0.5073, decode.d0.loss_dice: 0.7984, decode.d1.loss_cls: 0.3089, decode.d1.loss_mask: 0.4991, decode.d1.loss_dice: 0.7496, decode.d2.loss_cls: 0.2725, decode.d2.loss_mask: 0.4864, decode.d2.loss_dice: 0.7228, decode.d3.loss_cls: 0.2527, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7109, decode.d4.loss_cls: 0.2476, decode.d4.loss_mask: 0.4791, decode.d4.loss_dice: 0.7101, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.7030, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4738, decode.d6.loss_dice: 0.6966, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4718, decode.d7.loss_dice: 0.6948, decode.d8.loss_cls: 0.2346, decode.d8.loss_mask: 0.4722, decode.d8.loss_dice: 0.6984, loss: 15.8662 2022-09-16 10:45:22,588 - mmseg - INFO - Iter [67150/80000] lr: 2.306e-07, eta: 7:07:22, time: 1.915, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4718, decode.loss_dice: 0.6958, decode.d0.loss_cls: 1.6377, decode.d0.loss_mask: 0.5169, decode.d0.loss_dice: 0.7998, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7540, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.4896, decode.d2.loss_dice: 0.7218, decode.d3.loss_cls: 0.2489, decode.d3.loss_mask: 0.4840, decode.d3.loss_dice: 0.7102, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4804, decode.d4.loss_dice: 0.7039, decode.d5.loss_cls: 0.2331, decode.d5.loss_mask: 0.4788, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4753, decode.d6.loss_dice: 0.6966, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4755, decode.d7.loss_dice: 0.6948, decode.d8.loss_cls: 0.2280, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.6959, loss: 15.8695 2022-09-16 10:46:57,941 - mmseg - INFO - Iter [67200/80000] lr: 2.297e-07, eta: 7:05:41, time: 1.907, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2293, decode.loss_mask: 0.4697, decode.loss_dice: 0.6961, decode.d0.loss_cls: 1.6285, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.7972, decode.d1.loss_cls: 0.3259, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7423, decode.d2.loss_cls: 0.2854, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7227, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4782, decode.d3.loss_dice: 0.7090, decode.d4.loss_cls: 0.2468, decode.d4.loss_mask: 0.4746, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2384, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.6957, decode.d7.loss_cls: 0.2318, decode.d7.loss_mask: 0.4689, decode.d7.loss_dice: 0.6967, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.6954, loss: 15.8711 2022-09-16 10:48:33,744 - mmseg - INFO - Iter [67250/80000] lr: 2.288e-07, eta: 7:04:00, time: 1.916, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2171, decode.loss_mask: 0.4810, decode.loss_dice: 0.6981, decode.d0.loss_cls: 1.5862, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.7972, decode.d1.loss_cls: 0.2923, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2436, decode.d3.loss_mask: 0.4875, decode.d3.loss_dice: 0.7089, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4840, decode.d4.loss_dice: 0.7077, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4846, decode.d5.loss_dice: 0.7110, decode.d6.loss_cls: 0.2246, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7036, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.6990, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4807, decode.d8.loss_dice: 0.6992, loss: 15.8152 2022-09-16 10:50:08,662 - mmseg - INFO - Iter [67300/80000] lr: 2.280e-07, eta: 7:02:19, time: 1.898, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2242, decode.loss_mask: 0.4705, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.6568, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3130, decode.d1.loss_mask: 0.4941, decode.d1.loss_dice: 0.7639, decode.d2.loss_cls: 0.2655, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4772, decode.d3.loss_dice: 0.7252, decode.d4.loss_cls: 0.2405, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7178, decode.d5.loss_cls: 0.2325, decode.d5.loss_mask: 0.4718, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.7112, decode.d7.loss_cls: 0.2257, decode.d7.loss_mask: 0.4710, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.7151, loss: 15.9799 2022-09-16 10:51:42,526 - mmseg - INFO - Iter [67350/80000] lr: 2.271e-07, eta: 7:00:37, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2114, decode.loss_mask: 0.4864, decode.loss_dice: 0.6986, decode.d0.loss_cls: 1.5626, decode.d0.loss_mask: 0.5215, decode.d0.loss_dice: 0.7892, decode.d1.loss_cls: 0.2863, decode.d1.loss_mask: 0.5134, decode.d1.loss_dice: 0.7493, decode.d2.loss_cls: 0.2526, decode.d2.loss_mask: 0.4991, decode.d2.loss_dice: 0.7210, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4923, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4915, decode.d4.loss_dice: 0.7035, decode.d5.loss_cls: 0.2208, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2143, decode.d6.loss_mask: 0.4885, decode.d6.loss_dice: 0.7015, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4874, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2113, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7007, loss: 15.7583 2022-09-16 10:53:16,747 - mmseg - INFO - Iter [67400/80000] lr: 2.262e-07, eta: 6:58:56, time: 1.884, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2454, decode.loss_mask: 0.5002, decode.loss_dice: 0.7282, decode.d0.loss_cls: 1.6396, decode.d0.loss_mask: 0.5290, decode.d0.loss_dice: 0.8211, decode.d1.loss_cls: 0.3309, decode.d1.loss_mask: 0.5253, decode.d1.loss_dice: 0.7813, decode.d2.loss_cls: 0.2875, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7509, decode.d3.loss_cls: 0.2685, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7353, decode.d4.loss_cls: 0.2636, decode.d4.loss_mask: 0.5040, decode.d4.loss_dice: 0.7353, decode.d5.loss_cls: 0.2508, decode.d5.loss_mask: 0.5024, decode.d5.loss_dice: 0.7304, decode.d6.loss_cls: 0.2516, decode.d6.loss_mask: 0.4999, decode.d6.loss_dice: 0.7254, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2485, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7292, loss: 16.5747 2022-09-16 10:54:52,888 - mmseg - INFO - Iter [67450/80000] lr: 2.253e-07, eta: 6:57:15, time: 1.923, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2218, decode.loss_mask: 0.4867, decode.loss_dice: 0.7190, decode.d0.loss_cls: 1.5812, decode.d0.loss_mask: 0.5254, decode.d0.loss_dice: 0.8171, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.5091, decode.d1.loss_dice: 0.7705, decode.d2.loss_cls: 0.2670, decode.d2.loss_mask: 0.4982, decode.d2.loss_dice: 0.7423, decode.d3.loss_cls: 0.2496, decode.d3.loss_mask: 0.4928, decode.d3.loss_dice: 0.7340, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4896, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2299, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2283, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7208, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7216, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7178, loss: 16.1189 2022-09-16 10:56:26,948 - mmseg - INFO - Iter [67500/80000] lr: 2.244e-07, eta: 6:55:34, time: 1.881, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2173, decode.loss_mask: 0.4663, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.6200, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7788, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7327, decode.d2.loss_cls: 0.2556, decode.d2.loss_mask: 0.4758, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4686, decode.d3.loss_dice: 0.6953, decode.d4.loss_cls: 0.2308, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.6952, decode.d5.loss_cls: 0.2227, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.6893, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4674, decode.d6.loss_dice: 0.6876, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4668, decode.d7.loss_dice: 0.6862, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4663, decode.d8.loss_dice: 0.6879, loss: 15.5224 2022-09-16 10:58:01,100 - mmseg - INFO - Iter [67550/80000] lr: 2.235e-07, eta: 6:53:52, time: 1.884, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2308, decode.loss_mask: 0.4760, decode.loss_dice: 0.6837, decode.d0.loss_cls: 1.6189, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.7901, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.5059, decode.d1.loss_dice: 0.7392, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.4923, decode.d2.loss_dice: 0.7154, decode.d3.loss_cls: 0.2507, decode.d3.loss_mask: 0.4864, decode.d3.loss_dice: 0.7031, decode.d4.loss_cls: 0.2485, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.6992, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.2337, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.6884, loss: 15.8380 2022-09-16 10:59:35,357 - mmseg - INFO - Iter [67600/80000] lr: 2.226e-07, eta: 6:52:11, time: 1.885, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2412, decode.loss_mask: 0.4662, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.6412, decode.d0.loss_mask: 0.5072, decode.d0.loss_dice: 0.8146, decode.d1.loss_cls: 0.3195, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2791, decode.d2.loss_mask: 0.4758, decode.d2.loss_dice: 0.7338, decode.d3.loss_cls: 0.2614, decode.d3.loss_mask: 0.4736, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2533, decode.d4.loss_mask: 0.4721, decode.d4.loss_dice: 0.7189, decode.d5.loss_cls: 0.2467, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2413, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.7088, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.7107, decode.d8.loss_cls: 0.2423, decode.d8.loss_mask: 0.4671, decode.d8.loss_dice: 0.7060, loss: 16.0249 2022-09-16 11:01:10,412 - mmseg - INFO - Iter [67650/80000] lr: 2.217e-07, eta: 6:50:30, time: 1.900, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2230, decode.loss_mask: 0.4534, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.6245, decode.d0.loss_mask: 0.4909, decode.d0.loss_dice: 0.7937, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4765, decode.d1.loss_dice: 0.7403, decode.d2.loss_cls: 0.2674, decode.d2.loss_mask: 0.4661, decode.d2.loss_dice: 0.7114, decode.d3.loss_cls: 0.2513, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.7013, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4590, decode.d4.loss_dice: 0.6967, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4566, decode.d5.loss_dice: 0.6953, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4568, decode.d6.loss_dice: 0.6903, decode.d7.loss_cls: 0.2223, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.6887, decode.d8.loss_cls: 0.2212, decode.d8.loss_mask: 0.4542, decode.d8.loss_dice: 0.6917, loss: 15.5511 2022-09-16 11:02:46,157 - mmseg - INFO - Iter [67700/80000] lr: 2.208e-07, eta: 6:48:49, time: 1.915, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2349, decode.loss_mask: 0.4715, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.6189, decode.d0.loss_mask: 0.5155, decode.d0.loss_dice: 0.7900, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2660, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7052, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4789, decode.d4.loss_dice: 0.7013, decode.d5.loss_cls: 0.2441, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.6972, decode.d6.loss_cls: 0.2372, decode.d6.loss_mask: 0.4727, decode.d6.loss_dice: 0.6910, decode.d7.loss_cls: 0.2355, decode.d7.loss_mask: 0.4718, decode.d7.loss_dice: 0.6918, decode.d8.loss_cls: 0.2363, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.6963, loss: 15.8383 2022-09-16 11:04:20,532 - mmseg - INFO - Iter [67750/80000] lr: 2.199e-07, eta: 6:47:08, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2172, decode.loss_mask: 0.4826, decode.loss_dice: 0.6965, decode.d0.loss_cls: 1.6255, decode.d0.loss_mask: 0.5148, decode.d0.loss_dice: 0.7914, decode.d1.loss_cls: 0.3085, decode.d1.loss_mask: 0.5018, decode.d1.loss_dice: 0.7481, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4949, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7111, decode.d4.loss_cls: 0.2383, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2292, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.7079, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4839, decode.d6.loss_dice: 0.7026, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4828, decode.d7.loss_dice: 0.7017, decode.d8.loss_cls: 0.2219, decode.d8.loss_mask: 0.4831, decode.d8.loss_dice: 0.6999, loss: 15.8868 2022-09-16 11:05:55,426 - mmseg - INFO - Iter [67800/80000] lr: 2.190e-07, eta: 6:45:27, time: 1.898, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2167, decode.loss_mask: 0.4676, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.6158, decode.d0.loss_mask: 0.5115, decode.d0.loss_dice: 0.7940, decode.d1.loss_cls: 0.3104, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7537, decode.d2.loss_cls: 0.2562, decode.d2.loss_mask: 0.4836, decode.d2.loss_dice: 0.7306, decode.d3.loss_cls: 0.2494, decode.d3.loss_mask: 0.4751, decode.d3.loss_dice: 0.7155, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4701, decode.d4.loss_dice: 0.7069, decode.d5.loss_cls: 0.2336, decode.d5.loss_mask: 0.4689, decode.d5.loss_dice: 0.7023, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4686, decode.d6.loss_dice: 0.7017, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4675, decode.d7.loss_dice: 0.7017, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.7019, loss: 15.7682 2022-09-16 11:07:29,292 - mmseg - INFO - Iter [67850/80000] lr: 2.181e-07, eta: 6:43:45, time: 1.877, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2443, decode.loss_mask: 0.4849, decode.loss_dice: 0.7231, decode.d0.loss_cls: 1.6589, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8378, decode.d1.loss_cls: 0.3317, decode.d1.loss_mask: 0.5133, decode.d1.loss_dice: 0.7819, decode.d2.loss_cls: 0.2891, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7471, decode.d3.loss_cls: 0.2720, decode.d3.loss_mask: 0.4916, decode.d3.loss_dice: 0.7391, decode.d4.loss_cls: 0.2626, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7319, decode.d5.loss_cls: 0.2515, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7324, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7270, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7266, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.7280, loss: 16.4656 2022-09-16 11:09:04,788 - mmseg - INFO - Iter [67900/80000] lr: 2.172e-07, eta: 6:42:05, time: 1.910, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2321, decode.loss_mask: 0.4488, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.6580, decode.d0.loss_mask: 0.4826, decode.d0.loss_dice: 0.8137, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.4705, decode.d1.loss_dice: 0.7525, decode.d2.loss_cls: 0.2713, decode.d2.loss_mask: 0.4589, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2544, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.7185, decode.d4.loss_cls: 0.2488, decode.d4.loss_mask: 0.4557, decode.d4.loss_dice: 0.7105, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.7110, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.4536, decode.d6.loss_dice: 0.7074, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4530, decode.d7.loss_dice: 0.7046, decode.d8.loss_cls: 0.2311, decode.d8.loss_mask: 0.4501, decode.d8.loss_dice: 0.7024, loss: 15.7573 2022-09-16 11:10:38,527 - mmseg - INFO - Iter [67950/80000] lr: 2.163e-07, eta: 6:40:23, time: 1.875, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2114, decode.loss_mask: 0.4615, decode.loss_dice: 0.6838, decode.d0.loss_cls: 1.6314, decode.d0.loss_mask: 0.4996, decode.d0.loss_dice: 0.7833, decode.d1.loss_cls: 0.3072, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2559, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.7042, decode.d3.loss_cls: 0.2368, decode.d3.loss_mask: 0.4692, decode.d3.loss_dice: 0.6973, decode.d4.loss_cls: 0.2286, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.6932, decode.d5.loss_cls: 0.2185, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.6900, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4623, decode.d6.loss_dice: 0.6839, decode.d7.loss_cls: 0.2130, decode.d7.loss_mask: 0.4644, decode.d7.loss_dice: 0.6866, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.6831, loss: 15.4769 2022-09-16 11:12:12,797 - mmseg - INFO - Saving checkpoint at 68000 iterations 2022-09-16 11:12:43,065 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 11:12:43,075 - mmseg - INFO - Iter [68000/80000] lr: 2.154e-07, eta: 6:38:50, time: 2.488, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2252, decode.loss_mask: 0.4580, decode.loss_dice: 0.6765, decode.d0.loss_cls: 1.6318, decode.d0.loss_mask: 0.4938, decode.d0.loss_dice: 0.7698, decode.d1.loss_cls: 0.3153, decode.d1.loss_mask: 0.4802, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.6980, decode.d3.loss_cls: 0.2532, decode.d3.loss_mask: 0.4621, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.2468, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6857, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6837, decode.d6.loss_cls: 0.2295, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6761, decode.d7.loss_cls: 0.2251, decode.d7.loss_mask: 0.4588, decode.d7.loss_dice: 0.6780, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.6766, loss: 15.4742 2022-09-16 11:14:17,498 - mmseg - INFO - Iter [68050/80000] lr: 2.145e-07, eta: 6:37:09, time: 1.892, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2380, decode.loss_mask: 0.4647, decode.loss_dice: 0.6825, decode.d0.loss_cls: 1.6214, decode.d0.loss_mask: 0.5018, decode.d0.loss_dice: 0.7809, decode.d1.loss_cls: 0.3248, decode.d1.loss_mask: 0.4911, decode.d1.loss_dice: 0.7355, decode.d2.loss_cls: 0.2794, decode.d2.loss_mask: 0.4774, decode.d2.loss_dice: 0.7061, decode.d3.loss_cls: 0.2622, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.6962, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.6937, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.6874, decode.d6.loss_cls: 0.2444, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.2375, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.6865, decode.d8.loss_cls: 0.2329, decode.d8.loss_mask: 0.4643, decode.d8.loss_dice: 0.6824, loss: 15.7261 2022-09-16 11:15:52,458 - mmseg - INFO - Iter [68100/80000] lr: 2.136e-07, eta: 6:35:28, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2142, decode.loss_mask: 0.4797, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.5996, decode.d0.loss_mask: 0.5132, decode.d0.loss_dice: 0.7944, decode.d1.loss_cls: 0.2997, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7483, decode.d2.loss_cls: 0.2549, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7240, decode.d3.loss_cls: 0.2366, decode.d3.loss_mask: 0.4871, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2273, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2201, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2159, decode.d6.loss_mask: 0.4801, decode.d6.loss_dice: 0.7014, decode.d7.loss_cls: 0.2148, decode.d7.loss_mask: 0.4809, decode.d7.loss_dice: 0.7059, decode.d8.loss_cls: 0.2114, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7001, loss: 15.7783 2022-09-16 11:17:26,393 - mmseg - INFO - Iter [68150/80000] lr: 2.127e-07, eta: 6:33:47, time: 1.879, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2420, decode.loss_mask: 0.4882, decode.loss_dice: 0.7276, decode.d0.loss_cls: 1.6696, decode.d0.loss_mask: 0.5287, decode.d0.loss_dice: 0.8248, decode.d1.loss_cls: 0.3209, decode.d1.loss_mask: 0.5155, decode.d1.loss_dice: 0.7768, decode.d2.loss_cls: 0.2793, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7577, decode.d3.loss_cls: 0.2637, decode.d3.loss_mask: 0.4956, decode.d3.loss_dice: 0.7446, decode.d4.loss_cls: 0.2539, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7423, decode.d5.loss_cls: 0.2508, decode.d5.loss_mask: 0.4919, decode.d5.loss_dice: 0.7342, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.4917, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2456, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7317, decode.d8.loss_cls: 0.2434, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7300, loss: 16.5061 2022-09-16 11:19:02,703 - mmseg - INFO - Iter [68200/80000] lr: 2.118e-07, eta: 6:32:06, time: 1.926, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2378, decode.loss_mask: 0.4579, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.6712, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.7950, decode.d1.loss_cls: 0.3367, decode.d1.loss_mask: 0.4826, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.4670, decode.d2.loss_dice: 0.7123, decode.d3.loss_cls: 0.2624, decode.d3.loss_mask: 0.4627, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.4642, decode.d4.loss_dice: 0.7012, decode.d5.loss_cls: 0.2450, decode.d5.loss_mask: 0.4611, decode.d5.loss_dice: 0.6948, decode.d6.loss_cls: 0.2442, decode.d6.loss_mask: 0.4592, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6910, decode.d8.loss_cls: 0.2364, decode.d8.loss_mask: 0.4580, decode.d8.loss_dice: 0.6906, loss: 15.7898 2022-09-16 11:20:41,247 - mmseg - INFO - Iter [68250/80000] lr: 2.109e-07, eta: 6:30:26, time: 1.971, data_time: 0.066, memory: 47124, decode.loss_cls: 0.2290, decode.loss_mask: 0.4780, decode.loss_dice: 0.6985, decode.d0.loss_cls: 1.6466, decode.d0.loss_mask: 0.5185, decode.d0.loss_dice: 0.8004, decode.d1.loss_cls: 0.3221, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.4854, decode.d2.loss_dice: 0.7202, decode.d3.loss_cls: 0.2588, decode.d3.loss_mask: 0.4849, decode.d3.loss_dice: 0.7091, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7078, decode.d5.loss_cls: 0.2392, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.7072, decode.d6.loss_cls: 0.2369, decode.d6.loss_mask: 0.4802, decode.d6.loss_dice: 0.6990, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.2297, decode.d8.loss_mask: 0.4792, decode.d8.loss_dice: 0.6997, loss: 15.9804 2022-09-16 11:22:14,798 - mmseg - INFO - Iter [68300/80000] lr: 2.100e-07, eta: 6:28:45, time: 1.871, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2152, decode.loss_mask: 0.4721, decode.loss_dice: 0.6891, decode.d0.loss_cls: 1.5894, decode.d0.loss_mask: 0.5052, decode.d0.loss_dice: 0.7771, decode.d1.loss_cls: 0.3049, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2518, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4786, decode.d3.loss_dice: 0.7054, decode.d4.loss_cls: 0.2313, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.6987, decode.d5.loss_cls: 0.2241, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.6939, decode.d6.loss_cls: 0.2171, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.6923, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.6875, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4712, decode.d8.loss_dice: 0.6872, loss: 15.6014 2022-09-16 11:23:49,478 - mmseg - INFO - Iter [68350/80000] lr: 2.091e-07, eta: 6:27:04, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2340, decode.loss_mask: 0.4693, decode.loss_dice: 0.6945, decode.d0.loss_cls: 1.6377, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.8033, decode.d1.loss_cls: 0.3322, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7501, decode.d2.loss_cls: 0.2830, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2645, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2510, decode.d4.loss_mask: 0.4727, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2417, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.6978, decode.d7.loss_cls: 0.2356, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.6983, decode.d8.loss_cls: 0.2373, decode.d8.loss_mask: 0.4691, decode.d8.loss_dice: 0.6958, loss: 15.9290 2022-09-16 11:25:24,604 - mmseg - INFO - Iter [68400/80000] lr: 2.082e-07, eta: 6:25:23, time: 1.903, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2383, decode.loss_mask: 0.4819, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.6762, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.3430, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2811, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2702, decode.d3.loss_mask: 0.4867, decode.d3.loss_dice: 0.7105, decode.d4.loss_cls: 0.2570, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2523, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7058, decode.d7.loss_cls: 0.2427, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7051, decode.d8.loss_cls: 0.2419, decode.d8.loss_mask: 0.4832, decode.d8.loss_dice: 0.7065, loss: 16.1757 2022-09-16 11:26:58,897 - mmseg - INFO - Iter [68450/80000] lr: 2.073e-07, eta: 6:23:42, time: 1.886, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2382, decode.loss_mask: 0.4692, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.6249, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.7873, decode.d1.loss_cls: 0.3277, decode.d1.loss_mask: 0.4951, decode.d1.loss_dice: 0.7357, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4823, decode.d2.loss_dice: 0.7120, decode.d3.loss_cls: 0.2629, decode.d3.loss_mask: 0.4794, decode.d3.loss_dice: 0.7000, decode.d4.loss_cls: 0.2464, decode.d4.loss_mask: 0.4768, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2440, decode.d5.loss_mask: 0.4735, decode.d5.loss_dice: 0.6933, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4724, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.2341, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.2343, decode.d8.loss_mask: 0.4694, decode.d8.loss_dice: 0.6865, loss: 15.8042 2022-09-16 11:28:33,327 - mmseg - INFO - Iter [68500/80000] lr: 2.064e-07, eta: 6:22:01, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2296, decode.loss_mask: 0.4715, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.6393, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.8114, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.4951, decode.d1.loss_dice: 0.7609, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.4853, decode.d2.loss_dice: 0.7346, decode.d3.loss_cls: 0.2521, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7206, decode.d4.loss_cls: 0.2426, decode.d4.loss_mask: 0.4791, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7138, decode.d6.loss_cls: 0.2329, decode.d6.loss_mask: 0.4740, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2359, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2272, decode.d8.loss_mask: 0.4722, decode.d8.loss_dice: 0.7091, loss: 16.0068 2022-09-16 11:30:09,155 - mmseg - INFO - Iter [68550/80000] lr: 2.055e-07, eta: 6:20:20, time: 1.917, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2364, decode.loss_mask: 0.4523, decode.loss_dice: 0.6904, decode.d0.loss_cls: 1.6472, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7931, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4700, decode.d2.loss_dice: 0.7187, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.7046, decode.d4.loss_cls: 0.2543, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.7010, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.7000, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.4575, decode.d6.loss_dice: 0.6957, decode.d7.loss_cls: 0.2374, decode.d7.loss_mask: 0.4556, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2380, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6940, loss: 15.7454 2022-09-16 11:31:45,762 - mmseg - INFO - Iter [68600/80000] lr: 2.046e-07, eta: 6:18:40, time: 1.932, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2175, decode.loss_mask: 0.4828, decode.loss_dice: 0.7138, decode.d0.loss_cls: 1.6209, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3085, decode.d1.loss_mask: 0.5079, decode.d1.loss_dice: 0.7625, decode.d2.loss_cls: 0.2628, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2466, decode.d3.loss_mask: 0.4921, decode.d3.loss_dice: 0.7237, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4904, decode.d4.loss_dice: 0.7213, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4871, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2296, decode.d6.loss_mask: 0.4852, decode.d6.loss_dice: 0.7116, decode.d7.loss_cls: 0.2214, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7135, decode.d8.loss_cls: 0.2201, decode.d8.loss_mask: 0.4847, decode.d8.loss_dice: 0.7155, loss: 16.0378 2022-09-16 11:33:21,333 - mmseg - INFO - Iter [68650/80000] lr: 2.037e-07, eta: 6:16:59, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2378, decode.loss_mask: 0.4609, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.6512, decode.d0.loss_mask: 0.5046, decode.d0.loss_dice: 0.8230, decode.d1.loss_cls: 0.3205, decode.d1.loss_mask: 0.4858, decode.d1.loss_dice: 0.7599, decode.d2.loss_cls: 0.2736, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7329, decode.d3.loss_cls: 0.2581, decode.d3.loss_mask: 0.4686, decode.d3.loss_dice: 0.7154, decode.d4.loss_cls: 0.2479, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.7143, decode.d5.loss_cls: 0.2458, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.7127, decode.d6.loss_cls: 0.2409, decode.d6.loss_mask: 0.4640, decode.d6.loss_dice: 0.7074, decode.d7.loss_cls: 0.2358, decode.d7.loss_mask: 0.4622, decode.d7.loss_dice: 0.7066, decode.d8.loss_cls: 0.2378, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.7063, loss: 15.9447 2022-09-16 11:34:58,944 - mmseg - INFO - Iter [68700/80000] lr: 2.028e-07, eta: 6:15:19, time: 1.950, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2115, decode.loss_mask: 0.4601, decode.loss_dice: 0.6882, decode.d0.loss_cls: 1.6432, decode.d0.loss_mask: 0.4971, decode.d0.loss_dice: 0.7904, decode.d1.loss_cls: 0.2926, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7188, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2219, decode.d4.loss_mask: 0.4649, decode.d4.loss_dice: 0.7002, decode.d5.loss_cls: 0.2187, decode.d5.loss_mask: 0.4618, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2129, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2106, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.6941, decode.d8.loss_cls: 0.2135, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6915, loss: 15.5417 2022-09-16 11:36:33,011 - mmseg - INFO - Iter [68750/80000] lr: 2.019e-07, eta: 6:13:38, time: 1.883, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2208, decode.loss_mask: 0.4750, decode.loss_dice: 0.7044, decode.d0.loss_cls: 1.6551, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3177, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7535, decode.d2.loss_cls: 0.2672, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7315, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4799, decode.d4.loss_dice: 0.7112, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2251, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4748, decode.d7.loss_dice: 0.7066, decode.d8.loss_cls: 0.2169, decode.d8.loss_mask: 0.4749, decode.d8.loss_dice: 0.7043, loss: 15.9412 2022-09-16 11:38:08,374 - mmseg - INFO - Iter [68800/80000] lr: 2.010e-07, eta: 6:11:57, time: 1.907, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2180, decode.loss_mask: 0.4756, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.6124, decode.d0.loss_mask: 0.5112, decode.d0.loss_dice: 0.7807, decode.d1.loss_cls: 0.3097, decode.d1.loss_mask: 0.4972, decode.d1.loss_dice: 0.7378, decode.d2.loss_cls: 0.2642, decode.d2.loss_mask: 0.4866, decode.d2.loss_dice: 0.7155, decode.d3.loss_cls: 0.2426, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7020, decode.d4.loss_cls: 0.2327, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.2320, decode.d5.loss_mask: 0.4799, decode.d5.loss_dice: 0.6932, decode.d6.loss_cls: 0.2254, decode.d6.loss_mask: 0.4786, decode.d6.loss_dice: 0.6921, decode.d7.loss_cls: 0.2228, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4766, decode.d8.loss_dice: 0.6903, loss: 15.7159 2022-09-16 11:39:45,666 - mmseg - INFO - Iter [68850/80000] lr: 2.001e-07, eta: 6:10:17, time: 1.946, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4591, decode.loss_dice: 0.6728, decode.d0.loss_cls: 1.6181, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7672, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4837, decode.d1.loss_dice: 0.7252, decode.d2.loss_cls: 0.2586, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4686, decode.d3.loss_dice: 0.6853, decode.d4.loss_cls: 0.2288, decode.d4.loss_mask: 0.4658, decode.d4.loss_dice: 0.6830, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6772, decode.d6.loss_cls: 0.2258, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6760, decode.d7.loss_cls: 0.2183, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.2207, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.6734, loss: 15.3856 2022-09-16 11:41:27,321 - mmseg - INFO - Iter [68900/80000] lr: 1.992e-07, eta: 6:08:38, time: 2.033, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2268, decode.loss_mask: 0.4741, decode.loss_dice: 0.7039, decode.d0.loss_cls: 1.6102, decode.d0.loss_mask: 0.5151, decode.d0.loss_dice: 0.8000, decode.d1.loss_cls: 0.3133, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7587, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4885, decode.d2.loss_dice: 0.7297, decode.d3.loss_cls: 0.2505, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.7180, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2328, decode.d5.loss_mask: 0.4783, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2296, decode.d6.loss_mask: 0.4757, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4730, decode.d7.loss_dice: 0.7036, decode.d8.loss_cls: 0.2290, decode.d8.loss_mask: 0.4751, decode.d8.loss_dice: 0.7029, loss: 15.9190 2022-09-16 11:43:03,097 - mmseg - INFO - Iter [68950/80000] lr: 1.983e-07, eta: 6:06:58, time: 1.916, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2204, decode.loss_mask: 0.4550, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.6252, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7984, decode.d1.loss_cls: 0.3064, decode.d1.loss_mask: 0.4700, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4636, decode.d2.loss_dice: 0.7235, decode.d3.loss_cls: 0.2431, decode.d3.loss_mask: 0.4613, decode.d3.loss_dice: 0.7154, decode.d4.loss_cls: 0.2382, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2278, decode.d5.loss_mask: 0.4597, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2220, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.7025, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4564, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.2193, decode.d8.loss_mask: 0.4551, decode.d8.loss_dice: 0.7052, loss: 15.6340 2022-09-16 11:44:41,082 - mmseg - INFO - Saving checkpoint at 69000 iterations 2022-09-16 11:45:23,923 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 11:45:23,935 - mmseg - INFO - Iter [69000/80000] lr: 1.974e-07, eta: 6:05:28, time: 2.808, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2089, decode.loss_mask: 0.4629, decode.loss_dice: 0.6829, decode.d0.loss_cls: 1.6063, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.7857, decode.d1.loss_cls: 0.3019, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7342, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4708, decode.d3.loss_dice: 0.6880, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4664, decode.d4.loss_dice: 0.6872, decode.d5.loss_cls: 0.2271, decode.d5.loss_mask: 0.4667, decode.d5.loss_dice: 0.6844, decode.d6.loss_cls: 0.2154, decode.d6.loss_mask: 0.4651, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2138, decode.d7.loss_mask: 0.4652, decode.d7.loss_dice: 0.6846, decode.d8.loss_cls: 0.2128, decode.d8.loss_mask: 0.4634, decode.d8.loss_dice: 0.6818, loss: 15.4579 2022-09-16 11:47:03,299 - mmseg - INFO - Iter [69050/80000] lr: 1.965e-07, eta: 6:03:48, time: 1.996, data_time: 0.025, memory: 47124, decode.loss_cls: 0.2246, decode.loss_mask: 0.4726, decode.loss_dice: 0.7045, decode.d0.loss_cls: 1.6304, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4946, decode.d1.loss_dice: 0.7533, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2429, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7181, decode.d5.loss_cls: 0.2302, decode.d5.loss_mask: 0.4755, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7082, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4719, decode.d8.loss_dice: 0.7061, loss: 15.8958 2022-09-16 11:48:38,890 - mmseg - INFO - Iter [69100/80000] lr: 1.956e-07, eta: 6:02:08, time: 1.912, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2187, decode.loss_mask: 0.4692, decode.loss_dice: 0.6847, decode.d0.loss_cls: 1.6093, decode.d0.loss_mask: 0.5107, decode.d0.loss_dice: 0.7866, decode.d1.loss_cls: 0.2910, decode.d1.loss_mask: 0.4961, decode.d1.loss_dice: 0.7366, decode.d2.loss_cls: 0.2523, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7122, decode.d3.loss_cls: 0.2330, decode.d3.loss_mask: 0.4823, decode.d3.loss_dice: 0.7000, decode.d4.loss_cls: 0.2299, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.6945, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.6906, decode.d6.loss_cls: 0.2210, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.6893, decode.d7.loss_cls: 0.2203, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.6881, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4695, decode.d8.loss_dice: 0.6892, loss: 15.5881 2022-09-16 11:50:15,780 - mmseg - INFO - Iter [69150/80000] lr: 1.947e-07, eta: 6:00:27, time: 1.938, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2329, decode.loss_mask: 0.4536, decode.loss_dice: 0.6937, decode.d0.loss_cls: 1.6536, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3255, decode.d1.loss_mask: 0.4762, decode.d1.loss_dice: 0.7408, decode.d2.loss_cls: 0.2807, decode.d2.loss_mask: 0.4660, decode.d2.loss_dice: 0.7183, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2525, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.7070, decode.d5.loss_cls: 0.2440, decode.d5.loss_mask: 0.4559, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2378, decode.d6.loss_mask: 0.4544, decode.d6.loss_dice: 0.6979, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6971, decode.d8.loss_cls: 0.2358, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6990, loss: 15.7315 2022-09-16 11:51:52,361 - mmseg - INFO - Iter [69200/80000] lr: 1.939e-07, eta: 5:58:47, time: 1.932, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2196, decode.loss_mask: 0.4611, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.6028, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.3045, decode.d1.loss_mask: 0.4831, decode.d1.loss_dice: 0.7354, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4714, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2393, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.7002, decode.d5.loss_cls: 0.2273, decode.d5.loss_mask: 0.4641, decode.d5.loss_dice: 0.6957, decode.d6.loss_cls: 0.2219, decode.d6.loss_mask: 0.4618, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4610, decode.d7.loss_dice: 0.6878, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.6854, loss: 15.5457 2022-09-16 11:53:29,427 - mmseg - INFO - Iter [69250/80000] lr: 1.930e-07, eta: 5:57:07, time: 1.941, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2160, decode.loss_mask: 0.4649, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.6193, decode.d0.loss_mask: 0.5052, decode.d0.loss_dice: 0.7677, decode.d1.loss_cls: 0.3048, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7206, decode.d2.loss_cls: 0.2548, decode.d2.loss_mask: 0.4760, decode.d2.loss_dice: 0.6949, decode.d3.loss_cls: 0.2330, decode.d3.loss_mask: 0.4747, decode.d3.loss_dice: 0.6872, decode.d4.loss_cls: 0.2297, decode.d4.loss_mask: 0.4720, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.2218, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6815, decode.d6.loss_cls: 0.2235, decode.d6.loss_mask: 0.4673, decode.d6.loss_dice: 0.6717, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6700, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4691, decode.d8.loss_dice: 0.6741, loss: 15.4058 2022-09-16 11:55:11,177 - mmseg - INFO - Iter [69300/80000] lr: 1.921e-07, eta: 5:55:27, time: 2.034, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2220, decode.loss_mask: 0.4664, decode.loss_dice: 0.6701, decode.d0.loss_cls: 1.6085, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.7697, decode.d1.loss_cls: 0.3091, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2729, decode.d2.loss_mask: 0.4794, decode.d2.loss_dice: 0.6970, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4732, decode.d3.loss_dice: 0.6875, decode.d4.loss_cls: 0.2430, decode.d4.loss_mask: 0.4721, decode.d4.loss_dice: 0.6837, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4686, decode.d5.loss_dice: 0.6801, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4680, decode.d6.loss_dice: 0.6779, decode.d7.loss_cls: 0.2269, decode.d7.loss_mask: 0.4673, decode.d7.loss_dice: 0.6737, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4659, decode.d8.loss_dice: 0.6741, loss: 15.5213 2022-09-16 11:56:47,446 - mmseg - INFO - Iter [69350/80000] lr: 1.912e-07, eta: 5:53:47, time: 1.926, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2226, decode.loss_mask: 0.4636, decode.loss_dice: 0.6903, decode.d0.loss_cls: 1.6266, decode.d0.loss_mask: 0.5036, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7404, decode.d2.loss_cls: 0.2653, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2449, decode.d3.loss_mask: 0.4689, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4657, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2282, decode.d5.loss_mask: 0.4650, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.2259, decode.d7.loss_mask: 0.4636, decode.d7.loss_dice: 0.6902, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.6883, loss: 15.6239 2022-09-16 11:58:25,858 - mmseg - INFO - Iter [69400/80000] lr: 1.903e-07, eta: 5:52:07, time: 1.968, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2252, decode.loss_mask: 0.4696, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.6377, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7979, decode.d1.loss_cls: 0.3138, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7513, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4825, decode.d2.loss_dice: 0.7273, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7130, decode.d4.loss_cls: 0.2377, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4719, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4711, decode.d6.loss_dice: 0.7072, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4698, decode.d7.loss_dice: 0.7031, decode.d8.loss_cls: 0.2239, decode.d8.loss_mask: 0.4707, decode.d8.loss_dice: 0.7035, loss: 15.8557 2022-09-16 12:00:08,059 - mmseg - INFO - Iter [69450/80000] lr: 1.894e-07, eta: 5:50:28, time: 2.044, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2282, decode.loss_mask: 0.4897, decode.loss_dice: 0.6807, decode.d0.loss_cls: 1.6060, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.7851, decode.d1.loss_cls: 0.3036, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.7377, decode.d2.loss_cls: 0.2668, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7129, decode.d3.loss_cls: 0.2541, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.6973, decode.d4.loss_cls: 0.2436, decode.d4.loss_mask: 0.4968, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2313, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.6835, decode.d7.loss_cls: 0.2302, decode.d7.loss_mask: 0.4916, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.2267, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.6820, loss: 15.8831 2022-09-16 12:01:43,066 - mmseg - INFO - Iter [69500/80000] lr: 1.885e-07, eta: 5:48:47, time: 1.900, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2237, decode.loss_mask: 0.4636, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.6285, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.7985, decode.d1.loss_cls: 0.3088, decode.d1.loss_mask: 0.4863, decode.d1.loss_dice: 0.7502, decode.d2.loss_cls: 0.2653, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2464, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4653, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2277, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.6959, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6918, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4637, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.2231, decode.d8.loss_mask: 0.4636, decode.d8.loss_dice: 0.6970, loss: 15.6763 2022-09-16 12:03:21,833 - mmseg - INFO - Iter [69550/80000] lr: 1.876e-07, eta: 5:47:07, time: 1.976, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2231, decode.loss_mask: 0.4854, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.6518, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8096, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.5128, decode.d1.loss_dice: 0.7688, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7366, decode.d3.loss_cls: 0.2437, decode.d3.loss_mask: 0.4957, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2321, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2255, decode.d6.loss_mask: 0.4880, decode.d6.loss_dice: 0.7148, decode.d7.loss_cls: 0.2210, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7159, decode.d8.loss_cls: 0.2218, decode.d8.loss_mask: 0.4870, decode.d8.loss_dice: 0.7163, loss: 16.1296 2022-09-16 12:04:57,450 - mmseg - INFO - Iter [69600/80000] lr: 1.867e-07, eta: 5:45:27, time: 1.910, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2226, decode.loss_mask: 0.4681, decode.loss_dice: 0.6989, decode.d0.loss_cls: 1.6367, decode.d0.loss_mask: 0.5086, decode.d0.loss_dice: 0.7963, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.4956, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2713, decode.d2.loss_mask: 0.4816, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2525, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7076, decode.d4.loss_cls: 0.2457, decode.d4.loss_mask: 0.4713, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4692, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.2318, decode.d6.loss_mask: 0.4702, decode.d6.loss_dice: 0.6976, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4685, decode.d7.loss_dice: 0.6998, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4680, decode.d8.loss_dice: 0.6966, loss: 15.8297 2022-09-16 12:06:33,742 - mmseg - INFO - Iter [69650/80000] lr: 1.858e-07, eta: 5:43:46, time: 1.928, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2064, decode.loss_mask: 0.4840, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.5779, decode.d0.loss_mask: 0.5199, decode.d0.loss_dice: 0.7809, decode.d1.loss_cls: 0.2943, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7389, decode.d2.loss_cls: 0.2453, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7161, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7021, decode.d4.loss_cls: 0.2258, decode.d4.loss_mask: 0.4876, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2180, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2109, decode.d6.loss_mask: 0.4863, decode.d6.loss_dice: 0.6965, decode.d7.loss_cls: 0.2090, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2109, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.6912, loss: 15.6852 2022-09-16 12:08:12,659 - mmseg - INFO - Iter [69700/80000] lr: 1.849e-07, eta: 5:42:06, time: 1.978, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2168, decode.loss_mask: 0.4687, decode.loss_dice: 0.6895, decode.d0.loss_cls: 1.6440, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.3113, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7361, decode.d2.loss_cls: 0.2634, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2452, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7038, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.6992, decode.d5.loss_cls: 0.2246, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4701, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4688, decode.d8.loss_dice: 0.6941, loss: 15.7153 2022-09-16 12:09:48,282 - mmseg - INFO - Iter [69750/80000] lr: 1.840e-07, eta: 5:40:26, time: 1.913, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2130, decode.loss_mask: 0.4935, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.5515, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.7862, decode.d1.loss_cls: 0.2907, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2537, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2345, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.2301, decode.d4.loss_mask: 0.4984, decode.d4.loss_dice: 0.6997, decode.d5.loss_cls: 0.2221, decode.d5.loss_mask: 0.4960, decode.d5.loss_dice: 0.6966, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4969, decode.d6.loss_dice: 0.6925, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.6911, decode.d8.loss_cls: 0.2144, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.6927, loss: 15.7826 2022-09-16 12:11:21,941 - mmseg - INFO - Iter [69800/80000] lr: 1.831e-07, eta: 5:38:45, time: 1.869, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2116, decode.loss_mask: 0.4619, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.6040, decode.d0.loss_mask: 0.5018, decode.d0.loss_dice: 0.7843, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7403, decode.d2.loss_cls: 0.2634, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7136, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.6987, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4656, decode.d4.loss_dice: 0.6986, decode.d5.loss_cls: 0.2251, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.6935, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4629, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4632, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2182, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.6917, loss: 15.5478 2022-09-16 12:12:57,107 - mmseg - INFO - Iter [69850/80000] lr: 1.822e-07, eta: 5:37:04, time: 1.907, data_time: 0.021, memory: 47124, decode.loss_cls: 0.2204, decode.loss_mask: 0.4643, decode.loss_dice: 0.6794, decode.d0.loss_cls: 1.6249, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.7918, decode.d1.loss_cls: 0.3119, decode.d1.loss_mask: 0.4942, decode.d1.loss_dice: 0.7362, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.4806, decode.d2.loss_dice: 0.7069, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4749, decode.d3.loss_dice: 0.6949, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.6891, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4675, decode.d5.loss_dice: 0.6875, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.6851, decode.d7.loss_cls: 0.2255, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.6830, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6849, loss: 15.6128 2022-09-16 12:14:32,937 - mmseg - INFO - Iter [69900/80000] lr: 1.813e-07, eta: 5:35:24, time: 1.916, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2302, decode.loss_mask: 0.4732, decode.loss_dice: 0.7014, decode.d0.loss_cls: 1.6353, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8037, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.5028, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2794, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7309, decode.d3.loss_cls: 0.2575, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2498, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7084, decode.d5.loss_cls: 0.2395, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4762, decode.d6.loss_dice: 0.7024, decode.d7.loss_cls: 0.2364, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.6999, decode.d8.loss_cls: 0.2332, decode.d8.loss_mask: 0.4743, decode.d8.loss_dice: 0.6999, loss: 16.0053 2022-09-16 12:16:07,451 - mmseg - INFO - Iter [69950/80000] lr: 1.804e-07, eta: 5:33:43, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2151, decode.loss_mask: 0.4643, decode.loss_dice: 0.6906, decode.d0.loss_cls: 1.6162, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7893, decode.d1.loss_cls: 0.2917, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7405, decode.d2.loss_cls: 0.2590, decode.d2.loss_mask: 0.4793, decode.d2.loss_dice: 0.7195, decode.d3.loss_cls: 0.2405, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7082, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4679, decode.d4.loss_dice: 0.7018, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.6981, decode.d6.loss_cls: 0.2188, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.6920, decode.d7.loss_cls: 0.2145, decode.d7.loss_mask: 0.4669, decode.d7.loss_dice: 0.6935, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4666, decode.d8.loss_dice: 0.6946, loss: 15.6033 2022-09-16 12:17:41,431 - mmseg - INFO - Saving checkpoint at 70000 iterations 2022-09-16 12:18:13,059 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 12:18:13,069 - mmseg - INFO - Iter [70000/80000] lr: 1.795e-07, eta: 5:32:09, time: 2.510, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2262, decode.loss_mask: 0.4449, decode.loss_dice: 0.6687, decode.d0.loss_cls: 1.6276, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7689, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7221, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4587, decode.d2.loss_dice: 0.6881, decode.d3.loss_cls: 0.2458, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.6787, decode.d4.loss_cls: 0.2329, decode.d4.loss_mask: 0.4480, decode.d4.loss_dice: 0.6777, decode.d5.loss_cls: 0.2368, decode.d5.loss_mask: 0.4464, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.2254, decode.d6.loss_mask: 0.4461, decode.d6.loss_dice: 0.6717, decode.d7.loss_cls: 0.2212, decode.d7.loss_mask: 0.4458, decode.d7.loss_dice: 0.6694, decode.d8.loss_cls: 0.2265, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6698, loss: 15.2595 2022-09-16 12:19:48,060 - mmseg - INFO - Iter [70050/80000] lr: 1.786e-07, eta: 5:30:29, time: 1.903, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2151, decode.loss_mask: 0.4704, decode.loss_dice: 0.6809, decode.d0.loss_cls: 1.6051, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.7770, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.4952, decode.d1.loss_dice: 0.7292, decode.d2.loss_cls: 0.2593, decode.d2.loss_mask: 0.4836, decode.d2.loss_dice: 0.7010, decode.d3.loss_cls: 0.2438, decode.d3.loss_mask: 0.4785, decode.d3.loss_dice: 0.6911, decode.d4.loss_cls: 0.2305, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.6885, decode.d5.loss_cls: 0.2215, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4727, decode.d6.loss_dice: 0.6822, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.6826, decode.d8.loss_cls: 0.2099, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.6863, loss: 15.5361 2022-09-16 12:21:22,773 - mmseg - INFO - Iter [70100/80000] lr: 1.777e-07, eta: 5:28:48, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2249, decode.loss_mask: 0.4592, decode.loss_dice: 0.6794, decode.d0.loss_cls: 1.6431, decode.d0.loss_mask: 0.4913, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.3158, decode.d1.loss_mask: 0.4805, decode.d1.loss_dice: 0.7354, decode.d2.loss_cls: 0.2680, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4645, decode.d3.loss_dice: 0.6949, decode.d4.loss_cls: 0.2401, decode.d4.loss_mask: 0.4638, decode.d4.loss_dice: 0.6882, decode.d5.loss_cls: 0.2371, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6863, decode.d6.loss_cls: 0.2319, decode.d6.loss_mask: 0.4593, decode.d6.loss_dice: 0.6829, decode.d7.loss_cls: 0.2282, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6773, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4581, decode.d8.loss_dice: 0.6808, loss: 15.5386 2022-09-16 12:22:56,631 - mmseg - INFO - Iter [70150/80000] lr: 1.768e-07, eta: 5:27:07, time: 1.877, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2062, decode.loss_mask: 0.4567, decode.loss_dice: 0.6867, decode.d0.loss_cls: 1.6382, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7797, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4813, decode.d1.loss_dice: 0.7362, decode.d2.loss_cls: 0.2465, decode.d2.loss_mask: 0.4678, decode.d2.loss_dice: 0.7042, decode.d3.loss_cls: 0.2268, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.6940, decode.d4.loss_cls: 0.2210, decode.d4.loss_mask: 0.4618, decode.d4.loss_dice: 0.6947, decode.d5.loss_cls: 0.2125, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.2144, decode.d6.loss_mask: 0.4579, decode.d6.loss_dice: 0.6851, decode.d7.loss_cls: 0.2088, decode.d7.loss_mask: 0.4578, decode.d7.loss_dice: 0.6874, decode.d8.loss_cls: 0.2068, decode.d8.loss_mask: 0.4563, decode.d8.loss_dice: 0.6850, loss: 15.3752 2022-09-16 12:24:31,368 - mmseg - INFO - Iter [70200/80000] lr: 1.759e-07, eta: 5:25:26, time: 1.895, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2259, decode.loss_mask: 0.4709, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.5836, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.7892, decode.d1.loss_cls: 0.3137, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4844, decode.d2.loss_dice: 0.7085, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.6979, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.6961, decode.d5.loss_cls: 0.2368, decode.d5.loss_mask: 0.4746, decode.d5.loss_dice: 0.6939, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2233, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.2266, decode.d8.loss_mask: 0.4727, decode.d8.loss_dice: 0.6912, loss: 15.6979 2022-09-16 12:26:07,167 - mmseg - INFO - Iter [70250/80000] lr: 1.750e-07, eta: 5:23:46, time: 1.916, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2212, decode.loss_mask: 0.4547, decode.loss_dice: 0.6966, decode.d0.loss_cls: 1.6555, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.7956, decode.d1.loss_cls: 0.3248, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7560, decode.d2.loss_cls: 0.2785, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7216, decode.d3.loss_cls: 0.2496, decode.d3.loss_mask: 0.4605, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2434, decode.d4.loss_mask: 0.4596, decode.d4.loss_dice: 0.7090, decode.d5.loss_cls: 0.2308, decode.d5.loss_mask: 0.4583, decode.d5.loss_dice: 0.7025, decode.d6.loss_cls: 0.2317, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.6981, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4560, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6990, loss: 15.7125 2022-09-16 12:27:42,725 - mmseg - INFO - Iter [70300/80000] lr: 1.741e-07, eta: 5:22:05, time: 1.911, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2174, decode.loss_mask: 0.4617, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.6388, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7300, decode.d2.loss_cls: 0.2575, decode.d2.loss_mask: 0.4799, decode.d2.loss_dice: 0.7061, decode.d3.loss_cls: 0.2397, decode.d3.loss_mask: 0.4737, decode.d3.loss_dice: 0.6944, decode.d4.loss_cls: 0.2285, decode.d4.loss_mask: 0.4715, decode.d4.loss_dice: 0.6943, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4679, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2199, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.2176, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.6863, loss: 15.5368 2022-09-16 12:29:17,628 - mmseg - INFO - Iter [70350/80000] lr: 1.732e-07, eta: 5:20:25, time: 1.898, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2243, decode.loss_mask: 0.4745, decode.loss_dice: 0.6962, decode.d0.loss_cls: 1.6214, decode.d0.loss_mask: 0.5128, decode.d0.loss_dice: 0.7900, decode.d1.loss_cls: 0.3216, decode.d1.loss_mask: 0.5023, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2707, decode.d2.loss_mask: 0.4885, decode.d2.loss_dice: 0.7206, decode.d3.loss_cls: 0.2513, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2402, decode.d4.loss_mask: 0.4788, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2340, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.2322, decode.d6.loss_mask: 0.4752, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2242, decode.d7.loss_mask: 0.4751, decode.d7.loss_dice: 0.7008, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.6974, loss: 15.8414 2022-09-16 12:30:51,605 - mmseg - INFO - Iter [70400/80000] lr: 1.723e-07, eta: 5:18:44, time: 1.880, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2248, decode.loss_mask: 0.4734, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.6342, decode.d0.loss_mask: 0.5090, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3219, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7520, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4859, decode.d2.loss_dice: 0.7315, decode.d3.loss_cls: 0.2517, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7177, decode.d4.loss_cls: 0.2449, decode.d4.loss_mask: 0.4772, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2329, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2314, decode.d6.loss_mask: 0.4744, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2295, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7088, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7062, loss: 15.9427 2022-09-16 12:32:25,571 - mmseg - INFO - Iter [70450/80000] lr: 1.714e-07, eta: 5:17:03, time: 1.879, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2190, decode.loss_mask: 0.4677, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.6169, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.8115, decode.d1.loss_cls: 0.3059, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7624, decode.d2.loss_cls: 0.2563, decode.d2.loss_mask: 0.4844, decode.d2.loss_dice: 0.7428, decode.d3.loss_cls: 0.2427, decode.d3.loss_mask: 0.4769, decode.d3.loss_dice: 0.7233, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4729, decode.d4.loss_dice: 0.7196, decode.d5.loss_cls: 0.2241, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2250, decode.d6.loss_mask: 0.4687, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.2219, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7135, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.7151, loss: 15.8706 2022-09-16 12:33:59,896 - mmseg - INFO - Iter [70500/80000] lr: 1.705e-07, eta: 5:15:23, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2195, decode.loss_mask: 0.4780, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.5944, decode.d0.loss_mask: 0.5193, decode.d0.loss_dice: 0.7838, decode.d1.loss_cls: 0.3002, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7369, decode.d2.loss_cls: 0.2651, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7146, decode.d3.loss_cls: 0.2479, decode.d3.loss_mask: 0.4837, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4818, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.2334, decode.d5.loss_mask: 0.4802, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.2244, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.2195, decode.d7.loss_mask: 0.4775, decode.d7.loss_dice: 0.6872, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4772, decode.d8.loss_dice: 0.6891, loss: 15.6989 2022-09-16 12:35:35,815 - mmseg - INFO - Iter [70550/80000] lr: 1.696e-07, eta: 5:13:42, time: 1.918, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2265, decode.loss_mask: 0.4538, decode.loss_dice: 0.6854, decode.d0.loss_cls: 1.6426, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.3212, decode.d1.loss_mask: 0.4789, decode.d1.loss_dice: 0.7318, decode.d2.loss_cls: 0.2729, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.7128, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.7027, decode.d4.loss_cls: 0.2459, decode.d4.loss_mask: 0.4607, decode.d4.loss_dice: 0.6963, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4585, decode.d5.loss_dice: 0.6918, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6868, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2247, decode.d8.loss_mask: 0.4561, decode.d8.loss_dice: 0.6884, loss: 15.5944 2022-09-16 12:37:11,351 - mmseg - INFO - Iter [70600/80000] lr: 1.687e-07, eta: 5:12:02, time: 1.911, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2236, decode.loss_mask: 0.4663, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.6226, decode.d0.loss_mask: 0.5050, decode.d0.loss_dice: 0.8082, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7567, decode.d2.loss_cls: 0.2663, decode.d2.loss_mask: 0.4760, decode.d2.loss_dice: 0.7300, decode.d3.loss_cls: 0.2482, decode.d3.loss_mask: 0.4745, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2359, decode.d4.loss_mask: 0.4722, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7120, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4688, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4673, decode.d8.loss_dice: 0.7089, loss: 15.8457 2022-09-16 12:38:47,272 - mmseg - INFO - Iter [70650/80000] lr: 1.678e-07, eta: 5:10:21, time: 1.918, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2517, decode.loss_mask: 0.4704, decode.loss_dice: 0.7202, decode.d0.loss_cls: 1.6875, decode.d0.loss_mask: 0.5047, decode.d0.loss_dice: 0.8292, decode.d1.loss_cls: 0.3415, decode.d1.loss_mask: 0.4928, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.2894, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2619, decode.d5.loss_mask: 0.4743, decode.d5.loss_dice: 0.7282, decode.d6.loss_cls: 0.2586, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.7233, decode.d8.loss_cls: 0.2520, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7219, loss: 16.3829 2022-09-16 12:40:23,111 - mmseg - INFO - Iter [70700/80000] lr: 1.669e-07, eta: 5:08:41, time: 1.917, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2213, decode.loss_mask: 0.4623, decode.loss_dice: 0.6895, decode.d0.loss_cls: 1.6204, decode.d0.loss_mask: 0.4970, decode.d0.loss_dice: 0.7859, decode.d1.loss_cls: 0.3078, decode.d1.loss_mask: 0.4868, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2675, decode.d2.loss_mask: 0.4749, decode.d2.loss_dice: 0.7145, decode.d3.loss_cls: 0.2480, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2425, decode.d4.loss_mask: 0.4663, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2345, decode.d5.loss_mask: 0.4659, decode.d5.loss_dice: 0.6945, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4634, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2252, decode.d7.loss_mask: 0.4641, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.6885, loss: 15.6228 2022-09-16 12:42:00,899 - mmseg - INFO - Iter [70750/80000] lr: 1.660e-07, eta: 5:07:01, time: 1.956, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2276, decode.loss_mask: 0.4679, decode.loss_dice: 0.6968, decode.d0.loss_cls: 1.6541, decode.d0.loss_mask: 0.5096, decode.d0.loss_dice: 0.8027, decode.d1.loss_cls: 0.3218, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7471, decode.d2.loss_cls: 0.2775, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.7122, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7053, decode.d6.loss_cls: 0.2351, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.2306, decode.d7.loss_mask: 0.4696, decode.d7.loss_dice: 0.7026, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.6998, loss: 15.8755 2022-09-16 12:43:38,012 - mmseg - INFO - Iter [70800/80000] lr: 1.651e-07, eta: 5:05:21, time: 1.943, data_time: 0.067, memory: 47124, decode.loss_cls: 0.2310, decode.loss_mask: 0.4524, decode.loss_dice: 0.6762, decode.d0.loss_cls: 1.6450, decode.d0.loss_mask: 0.4960, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.3223, decode.d1.loss_mask: 0.4776, decode.d1.loss_dice: 0.7223, decode.d2.loss_cls: 0.2767, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.6995, decode.d3.loss_cls: 0.2546, decode.d3.loss_mask: 0.4585, decode.d3.loss_dice: 0.6834, decode.d4.loss_cls: 0.2473, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.6862, decode.d5.loss_cls: 0.2416, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.6780, decode.d6.loss_cls: 0.2369, decode.d6.loss_mask: 0.4540, decode.d6.loss_dice: 0.6734, decode.d7.loss_cls: 0.2350, decode.d7.loss_mask: 0.4540, decode.d7.loss_dice: 0.6767, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4517, decode.d8.loss_dice: 0.6748, loss: 15.5026 2022-09-16 12:45:12,936 - mmseg - INFO - Iter [70850/80000] lr: 1.642e-07, eta: 5:03:41, time: 1.896, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2253, decode.loss_mask: 0.4762, decode.loss_dice: 0.6935, decode.d0.loss_cls: 1.6330, decode.d0.loss_mask: 0.5151, decode.d0.loss_dice: 0.8009, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.4987, decode.d1.loss_dice: 0.7466, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7226, decode.d3.loss_cls: 0.2515, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7088, decode.d4.loss_cls: 0.2400, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7049, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4806, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.2314, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2295, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4791, decode.d8.loss_dice: 0.6955, loss: 15.8748 2022-09-16 12:46:49,230 - mmseg - INFO - Iter [70900/80000] lr: 1.633e-07, eta: 5:02:00, time: 1.928, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2155, decode.loss_mask: 0.4615, decode.loss_dice: 0.6835, decode.d0.loss_cls: 1.6019, decode.d0.loss_mask: 0.4990, decode.d0.loss_dice: 0.7823, decode.d1.loss_cls: 0.3037, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7349, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4738, decode.d2.loss_dice: 0.7068, decode.d3.loss_cls: 0.2447, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4647, decode.d4.loss_dice: 0.6926, decode.d5.loss_cls: 0.2258, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.2240, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.6885, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.2159, decode.d8.loss_mask: 0.4605, decode.d8.loss_dice: 0.6936, loss: 15.5000 2022-09-16 12:48:25,636 - mmseg - INFO - Iter [70950/80000] lr: 1.624e-07, eta: 5:00:20, time: 1.928, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2217, decode.loss_mask: 0.4695, decode.loss_dice: 0.6940, decode.d0.loss_cls: 1.6467, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.7929, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.4954, decode.d1.loss_dice: 0.7483, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2478, decode.d3.loss_mask: 0.4787, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7026, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4747, decode.d5.loss_dice: 0.6969, decode.d6.loss_cls: 0.2248, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.6988, decode.d7.loss_cls: 0.2221, decode.d7.loss_mask: 0.4704, decode.d7.loss_dice: 0.6953, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.6959, loss: 15.7760 2022-09-16 12:49:59,603 - mmseg - INFO - Saving checkpoint at 71000 iterations 2022-09-16 12:50:30,435 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 12:50:30,443 - mmseg - INFO - Iter [71000/80000] lr: 1.615e-07, eta: 4:58:46, time: 2.494, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2127, decode.loss_mask: 0.4928, decode.loss_dice: 0.7029, decode.d0.loss_cls: 1.6080, decode.d0.loss_mask: 0.5312, decode.d0.loss_dice: 0.8008, decode.d1.loss_cls: 0.2920, decode.d1.loss_mask: 0.5188, decode.d1.loss_dice: 0.7552, decode.d2.loss_cls: 0.2489, decode.d2.loss_mask: 0.5093, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2310, decode.d3.loss_mask: 0.5020, decode.d3.loss_dice: 0.7152, decode.d4.loss_cls: 0.2282, decode.d4.loss_mask: 0.4986, decode.d4.loss_dice: 0.7107, decode.d5.loss_cls: 0.2165, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7054, decode.d7.loss_cls: 0.2141, decode.d7.loss_mask: 0.4920, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7059, loss: 15.9497 2022-09-16 12:52:06,658 - mmseg - INFO - Iter [71050/80000] lr: 1.606e-07, eta: 4:57:05, time: 1.927, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2156, decode.loss_mask: 0.4604, decode.loss_dice: 0.7158, decode.d0.loss_cls: 1.6286, decode.d0.loss_mask: 0.5058, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2642, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7413, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4675, decode.d3.loss_dice: 0.7269, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4662, decode.d4.loss_dice: 0.7293, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.7194, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.7158, decode.d7.loss_cls: 0.2147, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.7131, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.7195, loss: 15.8534 2022-09-16 12:53:43,057 - mmseg - INFO - Iter [71100/80000] lr: 1.598e-07, eta: 4:55:25, time: 1.928, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2399, decode.loss_mask: 0.4565, decode.loss_dice: 0.6870, decode.d0.loss_cls: 1.6365, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.7927, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.4843, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7125, decode.d3.loss_cls: 0.2683, decode.d3.loss_mask: 0.4648, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2549, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.6972, decode.d5.loss_cls: 0.2527, decode.d5.loss_mask: 0.4589, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2458, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.6843, decode.d8.loss_cls: 0.2447, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6857, loss: 15.7558 2022-09-16 12:55:18,966 - mmseg - INFO - Iter [71150/80000] lr: 1.589e-07, eta: 4:53:45, time: 1.918, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2361, decode.loss_mask: 0.4496, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.6127, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7907, decode.d1.loss_cls: 0.3142, decode.d1.loss_mask: 0.4767, decode.d1.loss_dice: 0.7398, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.4598, decode.d2.loss_dice: 0.7143, decode.d3.loss_cls: 0.2553, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6967, decode.d4.loss_cls: 0.2496, decode.d4.loss_mask: 0.4536, decode.d4.loss_dice: 0.6956, decode.d5.loss_cls: 0.2414, decode.d5.loss_mask: 0.4532, decode.d5.loss_dice: 0.6957, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4522, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2325, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6854, decode.d8.loss_cls: 0.2371, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6852, loss: 15.5603 2022-09-16 12:56:55,117 - mmseg - INFO - Iter [71200/80000] lr: 1.580e-07, eta: 4:52:05, time: 1.923, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2236, decode.loss_mask: 0.4523, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.6026, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7899, decode.d1.loss_cls: 0.3127, decode.d1.loss_mask: 0.4789, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2674, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7207, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4595, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4598, decode.d5.loss_dice: 0.6994, decode.d6.loss_cls: 0.2286, decode.d6.loss_mask: 0.4565, decode.d6.loss_dice: 0.6900, decode.d7.loss_cls: 0.2279, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6921, decode.d8.loss_cls: 0.2242, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6916, loss: 15.5744 2022-09-16 12:58:31,660 - mmseg - INFO - Iter [71250/80000] lr: 1.571e-07, eta: 4:50:25, time: 1.930, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2246, decode.loss_mask: 0.4635, decode.loss_dice: 0.6783, decode.d0.loss_cls: 1.6461, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.7903, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2686, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7023, decode.d3.loss_cls: 0.2529, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.6890, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.6843, decode.d5.loss_cls: 0.2294, decode.d5.loss_mask: 0.4685, decode.d5.loss_dice: 0.6850, decode.d6.loss_cls: 0.2280, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.6827, decode.d7.loss_cls: 0.2263, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6793, decode.d8.loss_cls: 0.2232, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6806, loss: 15.5873 2022-09-16 13:00:07,092 - mmseg - INFO - Iter [71300/80000] lr: 1.562e-07, eta: 4:48:44, time: 1.909, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2081, decode.loss_mask: 0.4721, decode.loss_dice: 0.6838, decode.d0.loss_cls: 1.6064, decode.d0.loss_mask: 0.5115, decode.d0.loss_dice: 0.7806, decode.d1.loss_cls: 0.2931, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7304, decode.d2.loss_cls: 0.2515, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7074, decode.d3.loss_cls: 0.2390, decode.d3.loss_mask: 0.4783, decode.d3.loss_dice: 0.6956, decode.d4.loss_cls: 0.2257, decode.d4.loss_mask: 0.4781, decode.d4.loss_dice: 0.6915, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.6913, decode.d6.loss_cls: 0.2195, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.2067, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.6891, loss: 15.5416 2022-09-16 13:01:43,998 - mmseg - INFO - Iter [71350/80000] lr: 1.553e-07, eta: 4:47:04, time: 1.939, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2161, decode.loss_mask: 0.4642, decode.loss_dice: 0.6817, decode.d0.loss_cls: 1.5865, decode.d0.loss_mask: 0.5018, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3052, decode.d1.loss_mask: 0.4893, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7008, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.6944, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4684, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.2253, decode.d5.loss_mask: 0.4668, decode.d5.loss_dice: 0.6901, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.2151, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.6867, decode.d8.loss_cls: 0.2128, decode.d8.loss_mask: 0.4651, decode.d8.loss_dice: 0.6886, loss: 15.4907 2022-09-16 13:03:18,875 - mmseg - INFO - Iter [71400/80000] lr: 1.544e-07, eta: 4:45:24, time: 1.897, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2170, decode.loss_mask: 0.4679, decode.loss_dice: 0.6787, decode.d0.loss_cls: 1.5923, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.3015, decode.d1.loss_mask: 0.4923, decode.d1.loss_dice: 0.7310, decode.d2.loss_cls: 0.2556, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7017, decode.d3.loss_cls: 0.2424, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.6901, decode.d4.loss_cls: 0.2325, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.6866, decode.d5.loss_cls: 0.2255, decode.d5.loss_mask: 0.4715, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.2204, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.6807, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.6807, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.6791, loss: 15.4848 2022-09-16 13:04:54,080 - mmseg - INFO - Iter [71450/80000] lr: 1.535e-07, eta: 4:43:43, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2246, decode.loss_mask: 0.4485, decode.loss_dice: 0.6867, decode.d0.loss_cls: 1.6667, decode.d0.loss_mask: 0.4867, decode.d0.loss_dice: 0.7901, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.4714, decode.d1.loss_dice: 0.7378, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4606, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4547, decode.d3.loss_dice: 0.6960, decode.d4.loss_cls: 0.2353, decode.d4.loss_mask: 0.4530, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2318, decode.d5.loss_mask: 0.4502, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.2257, decode.d6.loss_mask: 0.4498, decode.d6.loss_dice: 0.6929, decode.d7.loss_cls: 0.2214, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.2198, decode.d8.loss_mask: 0.4497, decode.d8.loss_dice: 0.6903, loss: 15.5099 2022-09-16 13:06:30,603 - mmseg - INFO - Iter [71500/80000] lr: 1.526e-07, eta: 4:42:03, time: 1.930, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2139, decode.loss_mask: 0.4979, decode.loss_dice: 0.6859, decode.d0.loss_cls: 1.5812, decode.d0.loss_mask: 0.5361, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.5211, decode.d1.loss_dice: 0.7340, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.5044, decode.d3.loss_dice: 0.7005, decode.d4.loss_cls: 0.2274, decode.d4.loss_mask: 0.5016, decode.d4.loss_dice: 0.6915, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.5000, decode.d5.loss_dice: 0.6897, decode.d6.loss_cls: 0.2171, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.6891, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4989, decode.d7.loss_dice: 0.6889, decode.d8.loss_cls: 0.2145, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.6824, loss: 15.7945 2022-09-16 13:08:05,782 - mmseg - INFO - Iter [71550/80000] lr: 1.517e-07, eta: 4:40:23, time: 1.904, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2412, decode.loss_mask: 0.4633, decode.loss_dice: 0.7006, decode.d0.loss_cls: 1.6541, decode.d0.loss_mask: 0.5103, decode.d0.loss_dice: 0.8048, decode.d1.loss_cls: 0.3322, decode.d1.loss_mask: 0.4905, decode.d1.loss_dice: 0.7615, decode.d2.loss_cls: 0.2865, decode.d2.loss_mask: 0.4785, decode.d2.loss_dice: 0.7266, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7137, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.4690, decode.d4.loss_dice: 0.7103, decode.d5.loss_cls: 0.2421, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2419, decode.d6.loss_mask: 0.4665, decode.d6.loss_dice: 0.7044, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.7021, decode.d8.loss_cls: 0.2387, decode.d8.loss_mask: 0.4628, decode.d8.loss_dice: 0.7055, loss: 15.9719 2022-09-16 13:09:39,863 - mmseg - INFO - Iter [71600/80000] lr: 1.508e-07, eta: 4:38:42, time: 1.882, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2214, decode.loss_mask: 0.4423, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.5876, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7746, decode.d1.loss_cls: 0.3038, decode.d1.loss_mask: 0.4637, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2570, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.7013, decode.d3.loss_cls: 0.2413, decode.d3.loss_mask: 0.4510, decode.d3.loss_dice: 0.6887, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.2251, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4442, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4427, decode.d7.loss_dice: 0.6776, decode.d8.loss_cls: 0.2212, decode.d8.loss_mask: 0.4433, decode.d8.loss_dice: 0.6784, loss: 15.2184 2022-09-16 13:11:15,196 - mmseg - INFO - Iter [71650/80000] lr: 1.499e-07, eta: 4:37:02, time: 1.907, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2288, decode.loss_mask: 0.4699, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.6530, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.3261, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7529, decode.d2.loss_cls: 0.2774, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7284, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7100, decode.d4.loss_cls: 0.2465, decode.d4.loss_mask: 0.4796, decode.d4.loss_dice: 0.7112, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7067, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7009, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2339, decode.d8.loss_mask: 0.4712, decode.d8.loss_dice: 0.7005, loss: 15.9645 2022-09-16 13:12:52,091 - mmseg - INFO - Iter [71700/80000] lr: 1.490e-07, eta: 4:35:22, time: 1.938, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2331, decode.loss_mask: 0.4766, decode.loss_dice: 0.7064, decode.d0.loss_cls: 1.6065, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.8045, decode.d1.loss_cls: 0.3238, decode.d1.loss_mask: 0.4991, decode.d1.loss_dice: 0.7546, decode.d2.loss_cls: 0.2783, decode.d2.loss_mask: 0.4852, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2561, decode.d3.loss_mask: 0.4811, decode.d3.loss_dice: 0.7185, decode.d4.loss_cls: 0.2498, decode.d4.loss_mask: 0.4773, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2412, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7117, decode.d6.loss_cls: 0.2388, decode.d6.loss_mask: 0.4746, decode.d6.loss_dice: 0.7040, decode.d7.loss_cls: 0.2375, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.7039, decode.d8.loss_cls: 0.2339, decode.d8.loss_mask: 0.4740, decode.d8.loss_dice: 0.7051, loss: 15.9894 2022-09-16 13:14:27,651 - mmseg - INFO - Iter [71750/80000] lr: 1.481e-07, eta: 4:33:42, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2337, decode.loss_mask: 0.4954, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.6307, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8243, decode.d1.loss_cls: 0.3222, decode.d1.loss_mask: 0.5218, decode.d1.loss_dice: 0.7773, decode.d2.loss_cls: 0.2775, decode.d2.loss_mask: 0.5070, decode.d2.loss_dice: 0.7468, decode.d3.loss_cls: 0.2592, decode.d3.loss_mask: 0.5037, decode.d3.loss_dice: 0.7319, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.5004, decode.d4.loss_dice: 0.7304, decode.d5.loss_cls: 0.2464, decode.d5.loss_mask: 0.4985, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2460, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7206, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7240, decode.d8.loss_cls: 0.2347, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7274, loss: 16.4142 2022-09-16 13:16:02,019 - mmseg - INFO - Iter [71800/80000] lr: 1.472e-07, eta: 4:32:02, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2236, decode.loss_mask: 0.4614, decode.loss_dice: 0.6897, decode.d0.loss_cls: 1.6064, decode.d0.loss_mask: 0.4999, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3233, decode.d1.loss_mask: 0.4808, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2725, decode.d2.loss_mask: 0.4746, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4699, decode.d3.loss_dice: 0.7097, decode.d4.loss_cls: 0.2416, decode.d4.loss_mask: 0.4672, decode.d4.loss_dice: 0.7045, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.6967, decode.d6.loss_cls: 0.2344, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6960, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.6932, loss: 15.6876 2022-09-16 13:17:36,716 - mmseg - INFO - Iter [71850/80000] lr: 1.463e-07, eta: 4:30:21, time: 1.894, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2242, decode.loss_mask: 0.4638, decode.loss_dice: 0.6759, decode.d0.loss_cls: 1.6290, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.7722, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7299, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.4748, decode.d2.loss_dice: 0.6992, decode.d3.loss_cls: 0.2481, decode.d3.loss_mask: 0.4726, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.2401, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.6854, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.6830, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6736, decode.d8.loss_cls: 0.2241, decode.d8.loss_mask: 0.4658, decode.d8.loss_dice: 0.6777, loss: 15.5412 2022-09-16 13:19:13,048 - mmseg - INFO - Iter [71900/80000] lr: 1.454e-07, eta: 4:28:41, time: 1.926, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2026, decode.loss_mask: 0.4491, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.6471, decode.d0.loss_mask: 0.4907, decode.d0.loss_dice: 0.7787, decode.d1.loss_cls: 0.2995, decode.d1.loss_mask: 0.4728, decode.d1.loss_dice: 0.7324, decode.d2.loss_cls: 0.2502, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7051, decode.d3.loss_cls: 0.2269, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.6929, decode.d4.loss_cls: 0.2179, decode.d4.loss_mask: 0.4544, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4531, decode.d5.loss_dice: 0.6853, decode.d6.loss_cls: 0.2111, decode.d6.loss_mask: 0.4500, decode.d6.loss_dice: 0.6834, decode.d7.loss_cls: 0.2073, decode.d7.loss_mask: 0.4491, decode.d7.loss_dice: 0.6858, decode.d8.loss_cls: 0.2059, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6830, loss: 15.2839 2022-09-16 13:20:48,978 - mmseg - INFO - Iter [71950/80000] lr: 1.445e-07, eta: 4:27:01, time: 1.915, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2241, decode.loss_mask: 0.4553, decode.loss_dice: 0.6795, decode.d0.loss_cls: 1.6046, decode.d0.loss_mask: 0.5020, decode.d0.loss_dice: 0.7801, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.4827, decode.d1.loss_dice: 0.7308, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4720, decode.d2.loss_dice: 0.7059, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.2328, decode.d4.loss_mask: 0.4622, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2266, decode.d5.loss_mask: 0.4618, decode.d5.loss_dice: 0.6878, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6823, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.2219, decode.d8.loss_mask: 0.4577, decode.d8.loss_dice: 0.6842, loss: 15.4601 2022-09-16 13:22:22,990 - mmseg - INFO - Saving checkpoint at 72000 iterations 2022-09-16 13:22:54,501 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 13:22:54,511 - mmseg - INFO - Iter [72000/80000] lr: 1.436e-07, eta: 4:25:26, time: 2.511, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2160, decode.loss_mask: 0.4652, decode.loss_dice: 0.6819, decode.d0.loss_cls: 1.6183, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7861, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7344, decode.d2.loss_cls: 0.2491, decode.d2.loss_mask: 0.4793, decode.d2.loss_dice: 0.7048, decode.d3.loss_cls: 0.2402, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.6954, decode.d5.loss_cls: 0.2198, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.2207, decode.d6.loss_mask: 0.4654, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.2151, decode.d7.loss_mask: 0.4644, decode.d7.loss_dice: 0.6829, decode.d8.loss_cls: 0.2173, decode.d8.loss_mask: 0.4656, decode.d8.loss_dice: 0.6845, loss: 15.5153 2022-09-16 13:24:46,781 - mmseg - INFO - per class results: 2022-09-16 13:24:46,790 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.74 | 89.61 | | building | 85.6 | 93.41 | | sky | 95.21 | 97.68 | | floor | 85.8 | 91.09 | | tree | 78.42 | 89.67 | | ceiling | 87.66 | 92.75 | | road | 87.58 | 92.24 | | bed | 94.09 | 97.76 | | windowpane | 66.28 | 79.92 | | grass | 74.65 | 87.67 | | cabinet | 65.11 | 75.89 | | sidewalk | 70.1 | 82.27 | | person | 88.19 | 94.71 | | earth | 40.05 | 54.01 | | door | 61.71 | 78.77 | | table | 72.53 | 84.34 | | mountain | 63.26 | 76.15 | | plant | 55.87 | 68.34 | | curtain | 80.71 | 91.55 | | chair | 70.28 | 80.8 | | car | 89.6 | 94.6 | | water | 59.83 | 75.74 | | painting | 81.5 | 92.05 | | sofa | 83.16 | 90.23 | | shelf | 51.05 | 65.99 | | house | 51.32 | 61.03 | | sea | 66.79 | 85.0 | | mirror | 81.01 | 91.46 | | rug | 70.54 | 83.02 | | field | 34.8 | 54.42 | | armchair | 60.34 | 80.0 | | seat | 71.38 | 88.86 | | fence | 51.91 | 72.29 | | desk | 58.74 | 81.13 | | rock | 57.6 | 73.66 | | wardrobe | 64.76 | 80.55 | | lamp | 80.32 | 90.89 | | bathtub | 92.27 | 93.96 | | railing | 43.82 | 62.36 | | cushion | 72.7 | 83.23 | | base | 40.86 | 62.91 | | box | 43.77 | 56.94 | | column | 60.8 | 72.43 | | signboard | 42.91 | 62.88 | | chest of drawers | 38.47 | 74.46 | | counter | 35.82 | 47.15 | | sand | 59.92 | 87.68 | | sink | 83.13 | 86.33 | | skyscraper | 47.33 | 58.82 | | fireplace | 81.65 | 95.88 | | refrigerator | 85.85 | 93.47 | | grandstand | 66.16 | 85.45 | | path | 28.6 | 44.14 | | stairs | 49.19 | 59.58 | | runway | 76.29 | 96.99 | | case | 65.98 | 89.26 | | pool table | 95.67 | 98.15 | | pillow | 69.11 | 80.99 | | screen door | 83.14 | 89.48 | | stairway | 58.66 | 73.85 | | river | 16.51 | 29.22 | | bridge | 67.02 | 83.13 | | bookcase | 43.69 | 62.78 | | blind | 40.75 | 50.58 | | coffee table | 68.91 | 87.85 | | toilet | 92.25 | 95.07 | | flower | 54.33 | 71.81 | | book | 62.61 | 81.86 | | hill | 5.21 | 11.63 | | bench | 68.17 | 81.36 | | countertop | 69.56 | 85.19 | | stove | 87.49 | 92.4 | | palm | 56.08 | 81.25 | | kitchen island | 46.08 | 76.95 | | computer | 83.28 | 90.25 | | swivel chair | 54.99 | 77.83 | | boat | 68.69 | 90.86 | | bar | 63.1 | 75.29 | | arcade machine | 82.82 | 89.48 | | hovel | 44.18 | 48.85 | | bus | 89.52 | 97.23 | | towel | 83.29 | 90.25 | | light | 66.99 | 79.7 | | truck | 53.0 | 74.96 | | tower | 36.19 | 61.47 | | chandelier | 76.7 | 87.39 | | awning | 37.33 | 49.98 | | streetlight | 48.07 | 69.43 | | booth | 61.55 | 72.03 | | television receiver | 86.18 | 92.87 | | airplane | 82.55 | 97.28 | | dirt track | 20.85 | 34.64 | | apparel | 61.68 | 84.43 | | pole | 38.79 | 52.63 | | land | 0.48 | 0.78 | | bannister | 27.36 | 36.4 | | escalator | 62.51 | 85.44 | | ottoman | 55.77 | 75.65 | | bottle | 52.68 | 80.35 | | buffet | 54.16 | 65.51 | | poster | 27.74 | 41.71 | | stage | 24.36 | 63.17 | | van | 53.93 | 74.71 | | ship | 72.97 | 92.7 | | fountain | 23.68 | 24.68 | | conveyer belt | 79.62 | 98.02 | | canopy | 54.02 | 90.13 | | washer | 77.58 | 93.54 | | plaything | 43.52 | 68.09 | | swimming pool | 63.49 | 75.01 | | stool | 64.28 | 78.37 | | barrel | 86.66 | 97.68 | | basket | 46.96 | 71.27 | | waterfall | 81.56 | 91.15 | | tent | 89.02 | 98.27 | | bag | 28.46 | 34.1 | | minibike | 83.11 | 92.82 | | cradle | 89.42 | 97.73 | | oven | 67.62 | 81.8 | | ball | 39.15 | 41.29 | | food | 63.28 | 73.26 | | step | 22.92 | 27.35 | | tank | 64.5 | 66.43 | | trade name | 27.91 | 33.81 | | microwave | 87.52 | 94.17 | | pot | 65.19 | 78.63 | | animal | 79.58 | 81.51 | | bicycle | 62.66 | 79.95 | | lake | 61.79 | 63.64 | | dishwasher | 85.19 | 90.91 | | screen | 57.8 | 96.11 | | blanket | 38.32 | 50.2 | | sculpture | 73.46 | 91.07 | | hood | 65.07 | 77.42 | | sconce | 66.46 | 79.8 | | vase | 60.43 | 80.6 | | traffic light | 52.11 | 73.14 | | tray | 31.29 | 45.35 | | ashcan | 56.62 | 74.69 | | fan | 74.72 | 86.45 | | pier | 40.07 | 43.51 | | crt screen | 2.57 | 7.77 | | plate | 66.9 | 80.74 | | monitor | 11.3 | 14.92 | | bulletin board | 46.6 | 59.43 | | shower | 17.95 | 28.43 | | radiator | 73.98 | 91.31 | | glass | 29.22 | 31.72 | | clock | 61.59 | 70.09 | | flag | 72.65 | 84.92 | +---------------------+-------+-------+ 2022-09-16 13:24:46,790 - mmseg - INFO - Summary: 2022-09-16 13:24:46,790 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.88 | 60.87 | 74.21 | +-------+-------+-------+ 2022-09-16 13:24:46,798 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 13:24:46,799 - mmseg - INFO - Iter(val) [125] aAcc: 0.8688, mIoU: 0.6087, mAcc: 0.7421, IoU.wall: 0.8274, IoU.building: 0.8560, IoU.sky: 0.9521, IoU.floor: 0.8580, IoU.tree: 0.7842, IoU.ceiling: 0.8766, IoU.road: 0.8758, IoU.bed : 0.9409, IoU.windowpane: 0.6628, IoU.grass: 0.7465, IoU.cabinet: 0.6511, IoU.sidewalk: 0.7010, IoU.person: 0.8819, IoU.earth: 0.4005, IoU.door: 0.6171, IoU.table: 0.7253, IoU.mountain: 0.6326, IoU.plant: 0.5587, IoU.curtain: 0.8071, IoU.chair: 0.7028, IoU.car: 0.8960, IoU.water: 0.5983, IoU.painting: 0.8150, IoU.sofa: 0.8316, IoU.shelf: 0.5105, IoU.house: 0.5132, IoU.sea: 0.6679, IoU.mirror: 0.8101, IoU.rug: 0.7054, IoU.field: 0.3480, IoU.armchair: 0.6034, IoU.seat: 0.7138, IoU.fence: 0.5191, IoU.desk: 0.5874, IoU.rock: 0.5760, IoU.wardrobe: 0.6476, IoU.lamp: 0.8032, IoU.bathtub: 0.9227, IoU.railing: 0.4382, IoU.cushion: 0.7270, IoU.base: 0.4086, IoU.box: 0.4377, IoU.column: 0.6080, IoU.signboard: 0.4291, IoU.chest of drawers: 0.3847, IoU.counter: 0.3582, IoU.sand: 0.5992, IoU.sink: 0.8313, IoU.skyscraper: 0.4733, IoU.fireplace: 0.8165, IoU.refrigerator: 0.8585, IoU.grandstand: 0.6616, IoU.path: 0.2860, IoU.stairs: 0.4919, IoU.runway: 0.7629, IoU.case: 0.6598, IoU.pool table: 0.9567, IoU.pillow: 0.6911, IoU.screen door: 0.8314, IoU.stairway: 0.5866, IoU.river: 0.1651, IoU.bridge: 0.6702, IoU.bookcase: 0.4369, IoU.blind: 0.4075, IoU.coffee table: 0.6891, IoU.toilet: 0.9225, IoU.flower: 0.5433, IoU.book: 0.6261, IoU.hill: 0.0521, IoU.bench: 0.6817, IoU.countertop: 0.6956, IoU.stove: 0.8749, IoU.palm: 0.5608, IoU.kitchen island: 0.4608, IoU.computer: 0.8328, IoU.swivel chair: 0.5499, IoU.boat: 0.6869, IoU.bar: 0.6310, IoU.arcade machine: 0.8282, IoU.hovel: 0.4418, IoU.bus: 0.8952, IoU.towel: 0.8329, IoU.light: 0.6699, IoU.truck: 0.5300, IoU.tower: 0.3619, IoU.chandelier: 0.7670, IoU.awning: 0.3733, IoU.streetlight: 0.4807, IoU.booth: 0.6155, IoU.television receiver: 0.8618, IoU.airplane: 0.8255, IoU.dirt track: 0.2085, IoU.apparel: 0.6168, IoU.pole: 0.3879, IoU.land: 0.0048, IoU.bannister: 0.2736, IoU.escalator: 0.6251, IoU.ottoman: 0.5577, IoU.bottle: 0.5268, IoU.buffet: 0.5416, IoU.poster: 0.2774, IoU.stage: 0.2436, IoU.van: 0.5393, IoU.ship: 0.7297, IoU.fountain: 0.2368, IoU.conveyer belt: 0.7962, IoU.canopy: 0.5402, IoU.washer: 0.7758, IoU.plaything: 0.4352, IoU.swimming pool: 0.6349, IoU.stool: 0.6428, IoU.barrel: 0.8666, IoU.basket: 0.4696, IoU.waterfall: 0.8156, IoU.tent: 0.8902, IoU.bag: 0.2846, IoU.minibike: 0.8311, IoU.cradle: 0.8942, IoU.oven: 0.6762, IoU.ball: 0.3915, IoU.food: 0.6328, IoU.step: 0.2292, IoU.tank: 0.6450, IoU.trade name: 0.2791, IoU.microwave: 0.8752, IoU.pot: 0.6519, IoU.animal: 0.7958, IoU.bicycle: 0.6266, IoU.lake: 0.6179, IoU.dishwasher: 0.8519, IoU.screen: 0.5780, IoU.blanket: 0.3832, IoU.sculpture: 0.7346, IoU.hood: 0.6507, IoU.sconce: 0.6646, IoU.vase: 0.6043, IoU.traffic light: 0.5211, IoU.tray: 0.3129, IoU.ashcan: 0.5662, IoU.fan: 0.7472, IoU.pier: 0.4007, IoU.crt screen: 0.0257, IoU.plate: 0.6690, IoU.monitor: 0.1130, IoU.bulletin board: 0.4660, IoU.shower: 0.1795, IoU.radiator: 0.7398, IoU.glass: 0.2922, IoU.clock: 0.6159, IoU.flag: 0.7265, Acc.wall: 0.8961, Acc.building: 0.9341, Acc.sky: 0.9768, Acc.floor: 0.9109, Acc.tree: 0.8967, Acc.ceiling: 0.9275, Acc.road: 0.9224, Acc.bed : 0.9776, Acc.windowpane: 0.7992, Acc.grass: 0.8767, Acc.cabinet: 0.7589, Acc.sidewalk: 0.8227, Acc.person: 0.9471, Acc.earth: 0.5401, Acc.door: 0.7877, Acc.table: 0.8434, Acc.mountain: 0.7615, Acc.plant: 0.6834, Acc.curtain: 0.9155, Acc.chair: 0.8080, Acc.car: 0.9460, Acc.water: 0.7574, Acc.painting: 0.9205, Acc.sofa: 0.9023, Acc.shelf: 0.6599, Acc.house: 0.6103, Acc.sea: 0.8500, Acc.mirror: 0.9146, Acc.rug: 0.8302, Acc.field: 0.5442, Acc.armchair: 0.8000, Acc.seat: 0.8886, Acc.fence: 0.7229, Acc.desk: 0.8113, Acc.rock: 0.7366, Acc.wardrobe: 0.8055, Acc.lamp: 0.9089, Acc.bathtub: 0.9396, Acc.railing: 0.6236, Acc.cushion: 0.8323, Acc.base: 0.6291, Acc.box: 0.5694, Acc.column: 0.7243, Acc.signboard: 0.6288, Acc.chest of drawers: 0.7446, Acc.counter: 0.4715, Acc.sand: 0.8768, Acc.sink: 0.8633, Acc.skyscraper: 0.5882, Acc.fireplace: 0.9588, Acc.refrigerator: 0.9347, Acc.grandstand: 0.8545, Acc.path: 0.4414, Acc.stairs: 0.5958, Acc.runway: 0.9699, Acc.case: 0.8926, Acc.pool table: 0.9815, Acc.pillow: 0.8099, Acc.screen door: 0.8948, Acc.stairway: 0.7385, Acc.river: 0.2922, Acc.bridge: 0.8313, Acc.bookcase: 0.6278, Acc.blind: 0.5058, Acc.coffee table: 0.8785, Acc.toilet: 0.9507, Acc.flower: 0.7181, Acc.book: 0.8186, Acc.hill: 0.1163, Acc.bench: 0.8136, Acc.countertop: 0.8519, Acc.stove: 0.9240, Acc.palm: 0.8125, Acc.kitchen island: 0.7695, Acc.computer: 0.9025, Acc.swivel chair: 0.7783, Acc.boat: 0.9086, Acc.bar: 0.7529, Acc.arcade machine: 0.8948, Acc.hovel: 0.4885, Acc.bus: 0.9723, Acc.towel: 0.9025, Acc.light: 0.7970, Acc.truck: 0.7496, Acc.tower: 0.6147, Acc.chandelier: 0.8739, Acc.awning: 0.4998, Acc.streetlight: 0.6943, Acc.booth: 0.7203, Acc.television receiver: 0.9287, Acc.airplane: 0.9728, Acc.dirt track: 0.3464, Acc.apparel: 0.8443, Acc.pole: 0.5263, Acc.land: 0.0078, Acc.bannister: 0.3640, Acc.escalator: 0.8544, Acc.ottoman: 0.7565, Acc.bottle: 0.8035, Acc.buffet: 0.6551, Acc.poster: 0.4171, Acc.stage: 0.6317, Acc.van: 0.7471, Acc.ship: 0.9270, Acc.fountain: 0.2468, Acc.conveyer belt: 0.9802, Acc.canopy: 0.9013, Acc.washer: 0.9354, Acc.plaything: 0.6809, Acc.swimming pool: 0.7501, Acc.stool: 0.7837, Acc.barrel: 0.9768, Acc.basket: 0.7127, Acc.waterfall: 0.9115, Acc.tent: 0.9827, Acc.bag: 0.3410, Acc.minibike: 0.9282, Acc.cradle: 0.9773, Acc.oven: 0.8180, Acc.ball: 0.4129, Acc.food: 0.7326, Acc.step: 0.2735, Acc.tank: 0.6643, Acc.trade name: 0.3381, Acc.microwave: 0.9417, Acc.pot: 0.7863, Acc.animal: 0.8151, Acc.bicycle: 0.7995, Acc.lake: 0.6364, Acc.dishwasher: 0.9091, Acc.screen: 0.9611, Acc.blanket: 0.5020, Acc.sculpture: 0.9107, Acc.hood: 0.7742, Acc.sconce: 0.7980, Acc.vase: 0.8060, Acc.traffic light: 0.7314, Acc.tray: 0.4535, Acc.ashcan: 0.7469, Acc.fan: 0.8645, Acc.pier: 0.4351, Acc.crt screen: 0.0777, Acc.plate: 0.8074, Acc.monitor: 0.1492, Acc.bulletin board: 0.5943, Acc.shower: 0.2843, Acc.radiator: 0.9131, Acc.glass: 0.3172, Acc.clock: 0.7009, Acc.flag: 0.8492 2022-09-16 13:26:25,672 - mmseg - INFO - Iter [72050/80000] lr: 1.427e-07, eta: 4:24:05, time: 4.226, data_time: 2.312, memory: 47124, decode.loss_cls: 0.2258, decode.loss_mask: 0.4642, decode.loss_dice: 0.6849, decode.d0.loss_cls: 1.6463, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.7823, decode.d1.loss_cls: 0.3082, decode.d1.loss_mask: 0.4860, decode.d1.loss_dice: 0.7404, decode.d2.loss_cls: 0.2665, decode.d2.loss_mask: 0.4764, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2532, decode.d3.loss_mask: 0.4668, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2416, decode.d4.loss_mask: 0.4660, decode.d4.loss_dice: 0.6961, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4652, decode.d5.loss_dice: 0.6919, decode.d6.loss_cls: 0.2342, decode.d6.loss_mask: 0.4634, decode.d6.loss_dice: 0.6868, decode.d7.loss_cls: 0.2285, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.6837, loss: 15.6491 2022-09-16 13:28:02,364 - mmseg - INFO - Iter [72100/80000] lr: 1.418e-07, eta: 4:22:25, time: 1.934, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2123, decode.loss_mask: 0.4595, decode.loss_dice: 0.6983, decode.d0.loss_cls: 1.5893, decode.d0.loss_mask: 0.5035, decode.d0.loss_dice: 0.7927, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.4840, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2551, decode.d2.loss_mask: 0.4724, decode.d2.loss_dice: 0.7173, decode.d3.loss_cls: 0.2343, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2271, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.7083, decode.d5.loss_cls: 0.2237, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.2118, decode.d7.loss_mask: 0.4605, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2108, decode.d8.loss_mask: 0.4596, decode.d8.loss_dice: 0.6964, loss: 15.5289 2022-09-16 13:29:39,125 - mmseg - INFO - Iter [72150/80000] lr: 1.409e-07, eta: 4:20:44, time: 1.935, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2018, decode.loss_mask: 0.4504, decode.loss_dice: 0.6646, decode.d0.loss_cls: 1.6109, decode.d0.loss_mask: 0.4846, decode.d0.loss_dice: 0.7623, decode.d1.loss_cls: 0.2933, decode.d1.loss_mask: 0.4711, decode.d1.loss_dice: 0.7192, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.6934, decode.d3.loss_cls: 0.2241, decode.d3.loss_mask: 0.4592, decode.d3.loss_dice: 0.6823, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4555, decode.d4.loss_dice: 0.6749, decode.d5.loss_cls: 0.2105, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6750, decode.d6.loss_cls: 0.2071, decode.d6.loss_mask: 0.4514, decode.d6.loss_dice: 0.6711, decode.d7.loss_cls: 0.2065, decode.d7.loss_mask: 0.4522, decode.d7.loss_dice: 0.6698, decode.d8.loss_cls: 0.1993, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.6671, loss: 15.0937 2022-09-16 13:31:16,385 - mmseg - INFO - Iter [72200/80000] lr: 1.400e-07, eta: 4:19:04, time: 1.945, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2212, decode.loss_mask: 0.4771, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.5960, decode.d0.loss_mask: 0.5166, decode.d0.loss_dice: 0.7824, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7333, decode.d2.loss_cls: 0.2631, decode.d2.loss_mask: 0.4889, decode.d2.loss_dice: 0.7063, decode.d3.loss_cls: 0.2430, decode.d3.loss_mask: 0.4873, decode.d3.loss_dice: 0.6943, decode.d4.loss_cls: 0.2333, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.6941, decode.d5.loss_cls: 0.2263, decode.d5.loss_mask: 0.4803, decode.d5.loss_dice: 0.6847, decode.d6.loss_cls: 0.2209, decode.d6.loss_mask: 0.4815, decode.d6.loss_dice: 0.6875, decode.d7.loss_cls: 0.2198, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.2137, decode.d8.loss_mask: 0.4785, decode.d8.loss_dice: 0.6856, loss: 15.6552 2022-09-16 13:32:51,735 - mmseg - INFO - Iter [72250/80000] lr: 1.391e-07, eta: 4:17:24, time: 1.907, data_time: 0.014, memory: 47124, decode.loss_cls: 0.2315, decode.loss_mask: 0.4661, decode.loss_dice: 0.7120, decode.d0.loss_cls: 1.6182, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.8153, decode.d1.loss_cls: 0.3215, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7631, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.4806, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2589, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7222, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2417, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2372, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2366, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2279, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.7156, loss: 16.0210 2022-09-16 13:34:26,355 - mmseg - INFO - Iter [72300/80000] lr: 1.382e-07, eta: 4:15:44, time: 1.892, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2310, decode.loss_mask: 0.4720, decode.loss_dice: 0.6831, decode.d0.loss_cls: 1.6303, decode.d0.loss_mask: 0.5151, decode.d0.loss_dice: 0.7862, decode.d1.loss_cls: 0.3358, decode.d1.loss_mask: 0.4965, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2804, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2603, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.6987, decode.d4.loss_cls: 0.2498, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.2446, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4732, decode.d6.loss_dice: 0.6836, decode.d7.loss_cls: 0.2360, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.6840, decode.d8.loss_cls: 0.2349, decode.d8.loss_mask: 0.4718, decode.d8.loss_dice: 0.6795, loss: 15.7835 2022-09-16 13:36:02,598 - mmseg - INFO - Iter [72350/80000] lr: 1.373e-07, eta: 4:14:03, time: 1.925, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2102, decode.loss_mask: 0.4509, decode.loss_dice: 0.6831, decode.d0.loss_cls: 1.6268, decode.d0.loss_mask: 0.4937, decode.d0.loss_dice: 0.7841, decode.d1.loss_cls: 0.2962, decode.d1.loss_mask: 0.4808, decode.d1.loss_dice: 0.7357, decode.d2.loss_cls: 0.2443, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2250, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.6915, decode.d4.loss_cls: 0.2211, decode.d4.loss_mask: 0.4540, decode.d4.loss_dice: 0.6895, decode.d5.loss_cls: 0.2163, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6848, decode.d6.loss_cls: 0.2149, decode.d6.loss_mask: 0.4501, decode.d6.loss_dice: 0.6846, decode.d7.loss_cls: 0.2098, decode.d7.loss_mask: 0.4480, decode.d7.loss_dice: 0.6840, decode.d8.loss_cls: 0.2086, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6832, loss: 15.3089 2022-09-16 13:37:39,417 - mmseg - INFO - Iter [72400/80000] lr: 1.364e-07, eta: 4:12:23, time: 1.936, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2272, decode.loss_mask: 0.4513, decode.loss_dice: 0.6641, decode.d0.loss_cls: 1.6351, decode.d0.loss_mask: 0.4828, decode.d0.loss_dice: 0.7727, decode.d1.loss_cls: 0.3259, decode.d1.loss_mask: 0.4725, decode.d1.loss_dice: 0.7121, decode.d2.loss_cls: 0.2738, decode.d2.loss_mask: 0.4624, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.4576, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.2479, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.6757, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4551, decode.d5.loss_dice: 0.6748, decode.d6.loss_cls: 0.2358, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6674, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4513, decode.d7.loss_dice: 0.6692, decode.d8.loss_cls: 0.2291, decode.d8.loss_mask: 0.4504, decode.d8.loss_dice: 0.6628, loss: 15.3558 2022-09-16 13:39:15,651 - mmseg - INFO - Iter [72450/80000] lr: 1.355e-07, eta: 4:10:43, time: 1.925, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2163, decode.loss_mask: 0.4618, decode.loss_dice: 0.6736, decode.d0.loss_cls: 1.6212, decode.d0.loss_mask: 0.5025, decode.d0.loss_dice: 0.7717, decode.d1.loss_cls: 0.3053, decode.d1.loss_mask: 0.4879, decode.d1.loss_dice: 0.7228, decode.d2.loss_cls: 0.2586, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.6949, decode.d3.loss_cls: 0.2395, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.6824, decode.d4.loss_cls: 0.2272, decode.d4.loss_mask: 0.4674, decode.d4.loss_dice: 0.6797, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4659, decode.d5.loss_dice: 0.6754, decode.d6.loss_cls: 0.2191, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6734, decode.d7.loss_cls: 0.2215, decode.d7.loss_mask: 0.4629, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.2118, decode.d8.loss_mask: 0.4626, decode.d8.loss_dice: 0.6740, loss: 15.3796 2022-09-16 13:40:51,168 - mmseg - INFO - Iter [72500/80000] lr: 1.346e-07, eta: 4:09:03, time: 1.910, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2251, decode.loss_mask: 0.4649, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.6315, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7807, decode.d1.loss_cls: 0.3143, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7362, decode.d2.loss_cls: 0.2682, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2501, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.7000, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6922, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4676, decode.d7.loss_dice: 0.6897, decode.d8.loss_cls: 0.2252, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6887, loss: 15.6674 2022-09-16 13:42:25,534 - mmseg - INFO - Iter [72550/80000] lr: 1.337e-07, eta: 4:07:23, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2291, decode.loss_mask: 0.5000, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.5524, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8303, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.7801, decode.d2.loss_cls: 0.2687, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7595, decode.d3.loss_cls: 0.2555, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7422, decode.d4.loss_cls: 0.2438, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7351, decode.d7.loss_cls: 0.2292, decode.d7.loss_mask: 0.5009, decode.d7.loss_dice: 0.7387, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.5010, decode.d8.loss_dice: 0.7332, loss: 16.4131 2022-09-16 13:44:02,345 - mmseg - INFO - Iter [72600/80000] lr: 1.328e-07, eta: 4:05:43, time: 1.936, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2230, decode.loss_mask: 0.4610, decode.loss_dice: 0.6923, decode.d0.loss_cls: 1.6162, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7919, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.4826, decode.d1.loss_dice: 0.7383, decode.d2.loss_cls: 0.2654, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2500, decode.d3.loss_mask: 0.4647, decode.d3.loss_dice: 0.7025, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4614, decode.d4.loss_dice: 0.6978, decode.d5.loss_cls: 0.2321, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2310, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.6940, decode.d7.loss_cls: 0.2260, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6948, decode.d8.loss_cls: 0.2227, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6929, loss: 15.6033 2022-09-16 13:45:38,066 - mmseg - INFO - Iter [72650/80000] lr: 1.319e-07, eta: 4:04:02, time: 1.915, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2152, decode.loss_mask: 0.4859, decode.loss_dice: 0.6953, decode.d0.loss_cls: 1.5994, decode.d0.loss_mask: 0.5240, decode.d0.loss_dice: 0.7834, decode.d1.loss_cls: 0.2974, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7366, decode.d2.loss_cls: 0.2538, decode.d2.loss_mask: 0.4958, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.4932, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.2300, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4924, decode.d5.loss_dice: 0.6986, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4874, decode.d7.loss_dice: 0.6960, decode.d8.loss_cls: 0.2171, decode.d8.loss_mask: 0.4867, decode.d8.loss_dice: 0.6941, loss: 15.7759 2022-09-16 13:47:12,653 - mmseg - INFO - Iter [72700/80000] lr: 1.310e-07, eta: 4:02:22, time: 1.891, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2264, decode.loss_mask: 0.4594, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.5993, decode.d0.loss_mask: 0.4951, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7519, decode.d2.loss_cls: 0.2690, decode.d2.loss_mask: 0.4717, decode.d2.loss_dice: 0.7224, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.4652, decode.d4.loss_dice: 0.7144, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2339, decode.d6.loss_mask: 0.4610, decode.d6.loss_dice: 0.7044, decode.d7.loss_cls: 0.2269, decode.d7.loss_mask: 0.4612, decode.d7.loss_dice: 0.7051, decode.d8.loss_cls: 0.2280, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.7079, loss: 15.7610 2022-09-16 13:48:47,751 - mmseg - INFO - Iter [72750/80000] lr: 1.301e-07, eta: 4:00:42, time: 1.902, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2241, decode.loss_mask: 0.4713, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.6374, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.8048, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2703, decode.d2.loss_mask: 0.4837, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2511, decode.d3.loss_mask: 0.4790, decode.d3.loss_dice: 0.7235, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4777, decode.d4.loss_dice: 0.7196, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.4757, decode.d5.loss_dice: 0.7184, decode.d6.loss_cls: 0.2304, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2273, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.7094, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.7109, loss: 15.9579 2022-09-16 13:50:23,797 - mmseg - INFO - Iter [72800/80000] lr: 1.292e-07, eta: 3:59:02, time: 1.921, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2244, decode.loss_mask: 0.4528, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.5986, decode.d0.loss_mask: 0.4936, decode.d0.loss_dice: 0.7740, decode.d1.loss_cls: 0.3117, decode.d1.loss_mask: 0.4782, decode.d1.loss_dice: 0.7229, decode.d2.loss_cls: 0.2616, decode.d2.loss_mask: 0.4691, decode.d2.loss_dice: 0.6978, decode.d3.loss_cls: 0.2481, decode.d3.loss_mask: 0.4686, decode.d3.loss_dice: 0.6900, decode.d4.loss_cls: 0.2408, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6808, decode.d5.loss_cls: 0.2329, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.2303, decode.d6.loss_mask: 0.4553, decode.d6.loss_dice: 0.6732, decode.d7.loss_cls: 0.2256, decode.d7.loss_mask: 0.4546, decode.d7.loss_dice: 0.6755, decode.d8.loss_cls: 0.2242, decode.d8.loss_mask: 0.4523, decode.d8.loss_dice: 0.6715, loss: 15.3774 2022-09-16 13:51:58,264 - mmseg - INFO - Iter [72850/80000] lr: 1.283e-07, eta: 3:57:21, time: 1.889, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2302, decode.loss_mask: 0.4464, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.6147, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7878, decode.d1.loss_cls: 0.3178, decode.d1.loss_mask: 0.4674, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2725, decode.d2.loss_mask: 0.4566, decode.d2.loss_dice: 0.7177, decode.d3.loss_cls: 0.2600, decode.d3.loss_mask: 0.4511, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.2451, decode.d4.loss_mask: 0.4519, decode.d4.loss_dice: 0.7014, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4483, decode.d5.loss_dice: 0.6961, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4470, decode.d6.loss_dice: 0.6945, decode.d7.loss_cls: 0.2326, decode.d7.loss_mask: 0.4454, decode.d7.loss_dice: 0.6958, decode.d8.loss_cls: 0.2309, decode.d8.loss_mask: 0.4464, decode.d8.loss_dice: 0.6913, loss: 15.5422 2022-09-16 13:53:33,690 - mmseg - INFO - Iter [72900/80000] lr: 1.274e-07, eta: 3:55:41, time: 1.909, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2112, decode.loss_mask: 0.4343, decode.loss_dice: 0.6367, decode.d0.loss_cls: 1.6207, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7375, decode.d1.loss_cls: 0.2943, decode.d1.loss_mask: 0.4559, decode.d1.loss_dice: 0.6895, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4481, decode.d2.loss_dice: 0.6647, decode.d3.loss_cls: 0.2330, decode.d3.loss_mask: 0.4427, decode.d3.loss_dice: 0.6529, decode.d4.loss_cls: 0.2252, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6506, decode.d5.loss_cls: 0.2163, decode.d5.loss_mask: 0.4377, decode.d5.loss_dice: 0.6485, decode.d6.loss_cls: 0.2125, decode.d6.loss_mask: 0.4366, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.2093, decode.d7.loss_mask: 0.4365, decode.d7.loss_dice: 0.6397, decode.d8.loss_cls: 0.2136, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6383, loss: 14.7148 2022-09-16 13:55:08,056 - mmseg - INFO - Iter [72950/80000] lr: 1.265e-07, eta: 3:54:01, time: 1.887, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2237, decode.loss_mask: 0.4837, decode.loss_dice: 0.7023, decode.d0.loss_cls: 1.6057, decode.d0.loss_mask: 0.5245, decode.d0.loss_dice: 0.8078, decode.d1.loss_cls: 0.3100, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7612, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4935, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7134, decode.d4.loss_cls: 0.2383, decode.d4.loss_mask: 0.4869, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2313, decode.d5.loss_mask: 0.4849, decode.d5.loss_dice: 0.7096, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4878, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2270, decode.d8.loss_mask: 0.4844, decode.d8.loss_dice: 0.7073, loss: 15.9785 2022-09-16 13:56:46,281 - mmseg - INFO - Saving checkpoint at 73000 iterations 2022-09-16 13:57:18,202 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 13:57:18,205 - mmseg - INFO - Iter [73000/80000] lr: 1.257e-07, eta: 3:52:25, time: 2.601, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2057, decode.loss_mask: 0.4884, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.5976, decode.d0.loss_mask: 0.5274, decode.d0.loss_dice: 0.8092, decode.d1.loss_cls: 0.2934, decode.d1.loss_mask: 0.5138, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.2490, decode.d2.loss_mask: 0.5001, decode.d2.loss_dice: 0.7393, decode.d3.loss_cls: 0.2287, decode.d3.loss_mask: 0.4972, decode.d3.loss_dice: 0.7293, decode.d4.loss_cls: 0.2209, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2130, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7180, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4920, decode.d6.loss_dice: 0.7147, decode.d7.loss_cls: 0.2041, decode.d7.loss_mask: 0.4911, decode.d7.loss_dice: 0.7157, decode.d8.loss_cls: 0.2016, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7141, loss: 15.9413 2022-09-16 13:58:53,546 - mmseg - INFO - Iter [73050/80000] lr: 1.248e-07, eta: 3:50:45, time: 1.909, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4630, decode.loss_dice: 0.6813, decode.d0.loss_cls: 1.6319, decode.d0.loss_mask: 0.5044, decode.d0.loss_dice: 0.7862, decode.d1.loss_cls: 0.2962, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7342, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7085, decode.d3.loss_cls: 0.2366, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.6936, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2248, decode.d5.loss_mask: 0.4663, decode.d5.loss_dice: 0.6913, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4641, decode.d6.loss_dice: 0.6841, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6827, decode.d8.loss_cls: 0.2176, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.6837, loss: 15.5226 2022-09-16 14:00:32,127 - mmseg - INFO - Iter [73100/80000] lr: 1.239e-07, eta: 3:49:05, time: 1.972, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2136, decode.loss_mask: 0.4586, decode.loss_dice: 0.6852, decode.d0.loss_cls: 1.6350, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7914, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4837, decode.d1.loss_dice: 0.7367, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4723, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2452, decode.d3.loss_mask: 0.4674, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4632, decode.d4.loss_dice: 0.6927, decode.d5.loss_cls: 0.2309, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6882, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.6870, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.6935, decode.d8.loss_cls: 0.2148, decode.d8.loss_mask: 0.4591, decode.d8.loss_dice: 0.6873, loss: 15.5357 2022-09-16 14:02:08,418 - mmseg - INFO - Iter [73150/80000] lr: 1.230e-07, eta: 3:47:25, time: 1.926, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2121, decode.loss_mask: 0.4576, decode.loss_dice: 0.6792, decode.d0.loss_cls: 1.6154, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7780, decode.d1.loss_cls: 0.2959, decode.d1.loss_mask: 0.4827, decode.d1.loss_dice: 0.7303, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7036, decode.d3.loss_cls: 0.2337, decode.d3.loss_mask: 0.4692, decode.d3.loss_dice: 0.6940, decode.d4.loss_cls: 0.2254, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.2194, decode.d5.loss_mask: 0.4624, decode.d5.loss_dice: 0.6871, decode.d6.loss_cls: 0.2152, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2105, decode.d7.loss_mask: 0.4589, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.2083, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6811, loss: 15.3888 2022-09-16 14:03:44,768 - mmseg - INFO - Iter [73200/80000] lr: 1.221e-07, eta: 3:45:45, time: 1.927, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2266, decode.loss_mask: 0.4638, decode.loss_dice: 0.7063, decode.d0.loss_cls: 1.6495, decode.d0.loss_mask: 0.5031, decode.d0.loss_dice: 0.8033, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7546, decode.d2.loss_cls: 0.2723, decode.d2.loss_mask: 0.4780, decode.d2.loss_dice: 0.7302, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.7148, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.7117, decode.d5.loss_cls: 0.2379, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.7120, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4666, decode.d6.loss_dice: 0.7037, decode.d7.loss_cls: 0.2261, decode.d7.loss_mask: 0.4663, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2277, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.7063, loss: 15.8837 2022-09-16 14:05:20,133 - mmseg - INFO - Iter [73250/80000] lr: 1.212e-07, eta: 3:44:05, time: 1.907, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4690, decode.loss_dice: 0.6876, decode.d0.loss_cls: 1.6157, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.7878, decode.d1.loss_cls: 0.2941, decode.d1.loss_mask: 0.4929, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2501, decode.d2.loss_mask: 0.4822, decode.d2.loss_dice: 0.7148, decode.d3.loss_cls: 0.2378, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2292, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.6973, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.6914, decode.d6.loss_cls: 0.2210, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4696, decode.d7.loss_dice: 0.6923, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.6923, loss: 15.5825 2022-09-16 14:06:58,824 - mmseg - INFO - Iter [73300/80000] lr: 1.203e-07, eta: 3:42:25, time: 1.974, data_time: 0.063, memory: 47124, decode.loss_cls: 0.2259, decode.loss_mask: 0.4646, decode.loss_dice: 0.6904, decode.d0.loss_cls: 1.6053, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.7963, decode.d1.loss_cls: 0.3140, decode.d1.loss_mask: 0.4870, decode.d1.loss_dice: 0.7400, decode.d2.loss_cls: 0.2638, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7190, decode.d3.loss_cls: 0.2512, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.2402, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2337, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2338, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6973, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.6967, loss: 15.7004 2022-09-16 14:08:36,048 - mmseg - INFO - Iter [73350/80000] lr: 1.194e-07, eta: 3:40:46, time: 1.945, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2353, decode.loss_mask: 0.4730, decode.loss_dice: 0.6925, decode.d0.loss_cls: 1.6413, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.3372, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2746, decode.d2.loss_mask: 0.4862, decode.d2.loss_dice: 0.7250, decode.d3.loss_cls: 0.2646, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7059, decode.d4.loss_cls: 0.2531, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.7041, decode.d5.loss_cls: 0.2478, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7025, decode.d6.loss_cls: 0.2429, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.6980, decode.d7.loss_cls: 0.2363, decode.d7.loss_mask: 0.4745, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2352, decode.d8.loss_mask: 0.4728, decode.d8.loss_dice: 0.6897, loss: 15.9419 2022-09-16 14:10:12,020 - mmseg - INFO - Iter [73400/80000] lr: 1.185e-07, eta: 3:39:05, time: 1.919, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2205, decode.loss_mask: 0.4564, decode.loss_dice: 0.6898, decode.d0.loss_cls: 1.6210, decode.d0.loss_mask: 0.5007, decode.d0.loss_dice: 0.8016, decode.d1.loss_cls: 0.3186, decode.d1.loss_mask: 0.4811, decode.d1.loss_dice: 0.7429, decode.d2.loss_cls: 0.2786, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7175, decode.d3.loss_cls: 0.2524, decode.d3.loss_mask: 0.4626, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4602, decode.d4.loss_dice: 0.7013, decode.d5.loss_cls: 0.2331, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6968, decode.d6.loss_cls: 0.2248, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.2218, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.6940, decode.d8.loss_cls: 0.2266, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.6864, loss: 15.6286 2022-09-16 14:11:47,616 - mmseg - INFO - Iter [73450/80000] lr: 1.176e-07, eta: 3:37:25, time: 1.912, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2090, decode.loss_mask: 0.4527, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.5645, decode.d0.loss_mask: 0.4903, decode.d0.loss_dice: 0.7606, decode.d1.loss_cls: 0.2872, decode.d1.loss_mask: 0.4764, decode.d1.loss_dice: 0.7137, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4643, decode.d2.loss_dice: 0.6874, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.6757, decode.d4.loss_cls: 0.2205, decode.d4.loss_mask: 0.4582, decode.d4.loss_dice: 0.6749, decode.d5.loss_cls: 0.2170, decode.d5.loss_mask: 0.4544, decode.d5.loss_dice: 0.6681, decode.d6.loss_cls: 0.2096, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6632, decode.d7.loss_cls: 0.2060, decode.d7.loss_mask: 0.4535, decode.d7.loss_dice: 0.6638, decode.d8.loss_cls: 0.2078, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.6668, loss: 15.0561 2022-09-16 14:13:22,012 - mmseg - INFO - Iter [73500/80000] lr: 1.167e-07, eta: 3:35:45, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2244, decode.loss_mask: 0.4695, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.6648, decode.d0.loss_mask: 0.5086, decode.d0.loss_dice: 0.8167, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7590, decode.d2.loss_cls: 0.2743, decode.d2.loss_mask: 0.4792, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2596, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2421, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7110, decode.d6.loss_cls: 0.2339, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7080, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4704, decode.d7.loss_dice: 0.7086, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.7073, loss: 15.9786 2022-09-16 14:14:57,172 - mmseg - INFO - Iter [73550/80000] lr: 1.158e-07, eta: 3:34:05, time: 1.903, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2244, decode.loss_mask: 0.4828, decode.loss_dice: 0.6935, decode.d0.loss_cls: 1.6282, decode.d0.loss_mask: 0.5199, decode.d0.loss_dice: 0.7930, decode.d1.loss_cls: 0.3194, decode.d1.loss_mask: 0.5010, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2718, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7161, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4894, decode.d3.loss_dice: 0.7068, decode.d4.loss_cls: 0.2415, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2335, decode.d5.loss_mask: 0.4841, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2278, decode.d6.loss_mask: 0.4847, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2239, decode.d7.loss_mask: 0.4830, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2208, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.6938, loss: 15.8825 2022-09-16 14:16:33,817 - mmseg - INFO - Iter [73600/80000] lr: 1.149e-07, eta: 3:32:25, time: 1.933, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2133, decode.loss_mask: 0.4553, decode.loss_dice: 0.6942, decode.d0.loss_cls: 1.6086, decode.d0.loss_mask: 0.4893, decode.d0.loss_dice: 0.7941, decode.d1.loss_cls: 0.3000, decode.d1.loss_mask: 0.4769, decode.d1.loss_dice: 0.7427, decode.d2.loss_cls: 0.2549, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7162, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4651, decode.d3.loss_dice: 0.7041, decode.d4.loss_cls: 0.2270, decode.d4.loss_mask: 0.4613, decode.d4.loss_dice: 0.7009, decode.d5.loss_cls: 0.2169, decode.d5.loss_mask: 0.4593, decode.d5.loss_dice: 0.6996, decode.d6.loss_cls: 0.2135, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.6960, decode.d7.loss_cls: 0.2141, decode.d7.loss_mask: 0.4560, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.2137, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6921, loss: 15.4768 2022-09-16 14:18:10,010 - mmseg - INFO - Iter [73650/80000] lr: 1.140e-07, eta: 3:30:45, time: 1.923, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2093, decode.loss_mask: 0.4586, decode.loss_dice: 0.6624, decode.d0.loss_cls: 1.5775, decode.d0.loss_mask: 0.4962, decode.d0.loss_dice: 0.7534, decode.d1.loss_cls: 0.3128, decode.d1.loss_mask: 0.4811, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4705, decode.d2.loss_dice: 0.6857, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.6698, decode.d4.loss_cls: 0.2311, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6753, decode.d5.loss_cls: 0.2266, decode.d5.loss_mask: 0.4632, decode.d5.loss_dice: 0.6679, decode.d6.loss_cls: 0.2180, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.2117, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6660, decode.d8.loss_cls: 0.2139, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.6673, loss: 15.2061 2022-09-16 14:19:47,544 - mmseg - INFO - Iter [73700/80000] lr: 1.131e-07, eta: 3:29:05, time: 1.952, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2091, decode.loss_mask: 0.4662, decode.loss_dice: 0.6744, decode.d0.loss_cls: 1.5769, decode.d0.loss_mask: 0.5024, decode.d0.loss_dice: 0.7664, decode.d1.loss_cls: 0.2915, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7237, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4811, decode.d2.loss_dice: 0.6959, decode.d3.loss_cls: 0.2334, decode.d3.loss_mask: 0.4776, decode.d3.loss_dice: 0.6839, decode.d4.loss_cls: 0.2227, decode.d4.loss_mask: 0.4720, decode.d4.loss_dice: 0.6842, decode.d5.loss_cls: 0.2179, decode.d5.loss_mask: 0.4712, decode.d5.loss_dice: 0.6781, decode.d6.loss_cls: 0.2151, decode.d6.loss_mask: 0.4676, decode.d6.loss_dice: 0.6761, decode.d7.loss_cls: 0.2138, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6711, decode.d8.loss_cls: 0.2108, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6744, loss: 15.3281 2022-09-16 14:21:22,794 - mmseg - INFO - Iter [73750/80000] lr: 1.122e-07, eta: 3:27:25, time: 1.905, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2304, decode.loss_mask: 0.4698, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.6524, decode.d0.loss_mask: 0.5114, decode.d0.loss_dice: 0.7915, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7446, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4864, decode.d2.loss_dice: 0.7165, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4815, decode.d3.loss_dice: 0.7041, decode.d4.loss_cls: 0.2395, decode.d4.loss_mask: 0.4770, decode.d4.loss_dice: 0.7008, decode.d5.loss_cls: 0.2334, decode.d5.loss_mask: 0.4727, decode.d5.loss_dice: 0.6955, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4706, decode.d6.loss_dice: 0.6918, decode.d7.loss_cls: 0.2344, decode.d7.loss_mask: 0.4671, decode.d7.loss_dice: 0.6884, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.6924, loss: 15.8041 2022-09-16 14:22:58,664 - mmseg - INFO - Iter [73800/80000] lr: 1.113e-07, eta: 3:25:45, time: 1.917, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2182, decode.loss_mask: 0.4461, decode.loss_dice: 0.6951, decode.d0.loss_cls: 1.6033, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.3017, decode.d1.loss_mask: 0.4712, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4593, decode.d2.loss_dice: 0.7200, decode.d3.loss_cls: 0.2442, decode.d3.loss_mask: 0.4531, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2374, decode.d4.loss_mask: 0.4514, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2265, decode.d5.loss_mask: 0.4495, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2217, decode.d6.loss_mask: 0.4487, decode.d6.loss_dice: 0.6983, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4486, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2187, decode.d8.loss_mask: 0.4474, decode.d8.loss_dice: 0.6953, loss: 15.4650 2022-09-16 14:24:34,452 - mmseg - INFO - Iter [73850/80000] lr: 1.104e-07, eta: 3:24:05, time: 1.916, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2305, decode.loss_mask: 0.4729, decode.loss_dice: 0.6886, decode.d0.loss_cls: 1.6275, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.3215, decode.d1.loss_mask: 0.4979, decode.d1.loss_dice: 0.7389, decode.d2.loss_cls: 0.2736, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7129, decode.d3.loss_cls: 0.2591, decode.d3.loss_mask: 0.4818, decode.d3.loss_dice: 0.6991, decode.d4.loss_cls: 0.2497, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.6942, decode.d5.loss_cls: 0.2382, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.6954, decode.d6.loss_cls: 0.2343, decode.d6.loss_mask: 0.4757, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.2342, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2326, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.6877, loss: 15.8120 2022-09-16 14:26:10,202 - mmseg - INFO - Iter [73900/80000] lr: 1.095e-07, eta: 3:22:25, time: 1.915, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2067, decode.loss_mask: 0.4415, decode.loss_dice: 0.6806, decode.d0.loss_cls: 1.5814, decode.d0.loss_mask: 0.4868, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.2859, decode.d1.loss_mask: 0.4700, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2372, decode.d2.loss_mask: 0.4553, decode.d2.loss_dice: 0.7048, decode.d3.loss_cls: 0.2242, decode.d3.loss_mask: 0.4521, decode.d3.loss_dice: 0.6919, decode.d4.loss_cls: 0.2157, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.6890, decode.d5.loss_cls: 0.2133, decode.d5.loss_mask: 0.4464, decode.d5.loss_dice: 0.6871, decode.d6.loss_cls: 0.2065, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6811, decode.d7.loss_cls: 0.2098, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6807, decode.d8.loss_cls: 0.2080, decode.d8.loss_mask: 0.4433, decode.d8.loss_dice: 0.6852, loss: 15.1297 2022-09-16 14:27:46,360 - mmseg - INFO - Iter [73950/80000] lr: 1.086e-07, eta: 3:20:45, time: 1.923, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2179, decode.loss_mask: 0.4641, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.5940, decode.d0.loss_mask: 0.5050, decode.d0.loss_dice: 0.7977, decode.d1.loss_cls: 0.3045, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7484, decode.d2.loss_cls: 0.2564, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2380, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7083, decode.d4.loss_cls: 0.2364, decode.d4.loss_mask: 0.4684, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7013, decode.d6.loss_cls: 0.2271, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.6933, decode.d7.loss_cls: 0.2245, decode.d7.loss_mask: 0.4635, decode.d7.loss_dice: 0.6927, decode.d8.loss_cls: 0.2194, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6919, loss: 15.6329 2022-09-16 14:29:22,074 - mmseg - INFO - Saving checkpoint at 74000 iterations 2022-09-16 14:29:52,959 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 14:29:52,970 - mmseg - INFO - Iter [74000/80000] lr: 1.077e-07, eta: 3:19:09, time: 2.529, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2174, decode.loss_mask: 0.4574, decode.loss_dice: 0.6980, decode.d0.loss_cls: 1.6642, decode.d0.loss_mask: 0.4967, decode.d0.loss_dice: 0.7955, decode.d1.loss_cls: 0.3264, decode.d1.loss_mask: 0.4815, decode.d1.loss_dice: 0.7426, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.4706, decode.d2.loss_dice: 0.7196, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2299, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.7018, decode.d6.loss_cls: 0.2283, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.6981, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.6996, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6997, loss: 15.7057 2022-09-16 14:31:29,584 - mmseg - INFO - Iter [74050/80000] lr: 1.068e-07, eta: 3:17:29, time: 1.935, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2159, decode.loss_mask: 0.4721, decode.loss_dice: 0.6837, decode.d0.loss_cls: 1.6067, decode.d0.loss_mask: 0.5069, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.3059, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2549, decode.d2.loss_mask: 0.4839, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4803, decode.d3.loss_dice: 0.7042, decode.d4.loss_cls: 0.2223, decode.d4.loss_mask: 0.4804, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.6904, decode.d6.loss_cls: 0.2220, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2165, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.6888, decode.d8.loss_cls: 0.2163, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.6887, loss: 15.5932 2022-09-16 14:33:08,179 - mmseg - INFO - Iter [74100/80000] lr: 1.059e-07, eta: 3:15:49, time: 1.972, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2148, decode.loss_mask: 0.4616, decode.loss_dice: 0.6772, decode.d0.loss_cls: 1.6236, decode.d0.loss_mask: 0.5062, decode.d0.loss_dice: 0.7750, decode.d1.loss_cls: 0.2995, decode.d1.loss_mask: 0.4830, decode.d1.loss_dice: 0.7266, decode.d2.loss_cls: 0.2551, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.7004, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.2294, decode.d4.loss_mask: 0.4660, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.6832, decode.d6.loss_cls: 0.2223, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6773, decode.d7.loss_cls: 0.2145, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.6790, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.6782, loss: 15.4151 2022-09-16 14:34:47,066 - mmseg - INFO - Iter [74150/80000] lr: 1.050e-07, eta: 3:14:09, time: 1.978, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2328, decode.loss_mask: 0.4618, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.6517, decode.d0.loss_mask: 0.4963, decode.d0.loss_dice: 0.7992, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2790, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.7160, decode.d3.loss_cls: 0.2560, decode.d3.loss_mask: 0.4695, decode.d3.loss_dice: 0.7071, decode.d4.loss_cls: 0.2470, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.7001, decode.d5.loss_cls: 0.2420, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.4632, decode.d6.loss_dice: 0.6935, decode.d7.loss_cls: 0.2347, decode.d7.loss_mask: 0.4630, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4626, decode.d8.loss_dice: 0.6941, loss: 15.7937 2022-09-16 14:36:23,283 - mmseg - INFO - Iter [74200/80000] lr: 1.041e-07, eta: 3:12:29, time: 1.924, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2334, decode.loss_mask: 0.4554, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.6429, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7853, decode.d1.loss_cls: 0.3222, decode.d1.loss_mask: 0.4817, decode.d1.loss_dice: 0.7398, decode.d2.loss_cls: 0.2691, decode.d2.loss_mask: 0.4705, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2539, decode.d3.loss_mask: 0.4631, decode.d3.loss_dice: 0.6954, decode.d4.loss_cls: 0.2448, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.6931, decode.d5.loss_cls: 0.2426, decode.d5.loss_mask: 0.4607, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.2277, decode.d6.loss_mask: 0.4600, decode.d6.loss_dice: 0.6846, decode.d7.loss_cls: 0.2298, decode.d7.loss_mask: 0.4582, decode.d7.loss_dice: 0.6817, decode.d8.loss_cls: 0.2271, decode.d8.loss_mask: 0.4568, decode.d8.loss_dice: 0.6834, loss: 15.5929 2022-09-16 14:37:58,762 - mmseg - INFO - Iter [74250/80000] lr: 1.032e-07, eta: 3:10:49, time: 1.910, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2163, decode.loss_mask: 0.4501, decode.loss_dice: 0.6760, decode.d0.loss_cls: 1.5819, decode.d0.loss_mask: 0.4940, decode.d0.loss_dice: 0.7723, decode.d1.loss_cls: 0.3025, decode.d1.loss_mask: 0.4719, decode.d1.loss_dice: 0.7223, decode.d2.loss_cls: 0.2563, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.6966, decode.d3.loss_cls: 0.2397, decode.d3.loss_mask: 0.4601, decode.d3.loss_dice: 0.6857, decode.d4.loss_cls: 0.2316, decode.d4.loss_mask: 0.4563, decode.d4.loss_dice: 0.6837, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.6798, decode.d6.loss_cls: 0.2206, decode.d6.loss_mask: 0.4517, decode.d6.loss_dice: 0.6739, decode.d7.loss_cls: 0.2139, decode.d7.loss_mask: 0.4520, decode.d7.loss_dice: 0.6803, decode.d8.loss_cls: 0.2172, decode.d8.loss_mask: 0.4510, decode.d8.loss_dice: 0.6774, loss: 15.2569 2022-09-16 14:39:35,957 - mmseg - INFO - Iter [74300/80000] lr: 1.023e-07, eta: 3:09:10, time: 1.943, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2305, decode.loss_mask: 0.4653, decode.loss_dice: 0.6832, decode.d0.loss_cls: 1.6437, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.7946, decode.d1.loss_cls: 0.3224, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7367, decode.d2.loss_cls: 0.2717, decode.d2.loss_mask: 0.4773, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2565, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2433, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2379, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.6949, decode.d6.loss_cls: 0.2269, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.2243, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4656, decode.d8.loss_dice: 0.6852, loss: 15.7328 2022-09-16 14:41:14,227 - mmseg - INFO - Iter [74350/80000] lr: 1.014e-07, eta: 3:07:30, time: 1.966, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2169, decode.loss_mask: 0.4626, decode.loss_dice: 0.6868, decode.d0.loss_cls: 1.5832, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.7903, decode.d1.loss_cls: 0.2966, decode.d1.loss_mask: 0.4898, decode.d1.loss_dice: 0.7309, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.4743, decode.d2.loss_dice: 0.7086, decode.d3.loss_cls: 0.2378, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.6946, decode.d4.loss_cls: 0.2285, decode.d4.loss_mask: 0.4663, decode.d4.loss_dice: 0.6958, decode.d5.loss_cls: 0.2265, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.6873, decode.d6.loss_cls: 0.2166, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6883, decode.d8.loss_cls: 0.2154, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6877, loss: 15.4756 2022-09-16 14:42:50,257 - mmseg - INFO - Iter [74400/80000] lr: 1.005e-07, eta: 3:05:50, time: 1.921, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2089, decode.loss_mask: 0.4716, decode.loss_dice: 0.6781, decode.d0.loss_cls: 1.6372, decode.d0.loss_mask: 0.5120, decode.d0.loss_dice: 0.7815, decode.d1.loss_cls: 0.3016, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7344, decode.d2.loss_cls: 0.2459, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2261, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.6931, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4779, decode.d4.loss_dice: 0.6902, decode.d5.loss_cls: 0.2136, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.6866, decode.d6.loss_cls: 0.2112, decode.d6.loss_mask: 0.4752, decode.d6.loss_dice: 0.6831, decode.d7.loss_cls: 0.2072, decode.d7.loss_mask: 0.4756, decode.d7.loss_dice: 0.6809, decode.d8.loss_cls: 0.2091, decode.d8.loss_mask: 0.4744, decode.d8.loss_dice: 0.6807, loss: 15.5367 2022-09-16 14:44:25,818 - mmseg - INFO - Iter [74450/80000] lr: 9.963e-08, eta: 3:04:10, time: 1.911, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2071, decode.loss_mask: 0.4640, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.6148, decode.d0.loss_mask: 0.5052, decode.d0.loss_dice: 0.7850, decode.d1.loss_cls: 0.2880, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7318, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4782, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2328, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.6984, decode.d4.loss_cls: 0.2250, decode.d4.loss_mask: 0.4733, decode.d4.loss_dice: 0.6941, decode.d5.loss_cls: 0.2193, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6927, decode.d6.loss_cls: 0.2123, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.6934, decode.d7.loss_cls: 0.2100, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.6869, decode.d8.loss_cls: 0.2080, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6871, loss: 15.4967 2022-09-16 14:46:02,244 - mmseg - INFO - Iter [74500/80000] lr: 9.873e-08, eta: 3:02:30, time: 1.929, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2144, decode.loss_mask: 0.4684, decode.loss_dice: 0.6860, decode.d0.loss_cls: 1.6004, decode.d0.loss_mask: 0.5037, decode.d0.loss_dice: 0.7787, decode.d1.loss_cls: 0.3077, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7310, decode.d2.loss_cls: 0.2580, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7129, decode.d3.loss_cls: 0.2406, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.7009, decode.d4.loss_cls: 0.2351, decode.d4.loss_mask: 0.4756, decode.d4.loss_dice: 0.6945, decode.d5.loss_cls: 0.2318, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.6959, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2185, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.6898, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.6869, loss: 15.5992 2022-09-16 14:47:38,829 - mmseg - INFO - Iter [74550/80000] lr: 9.783e-08, eta: 3:00:50, time: 1.932, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2076, decode.loss_mask: 0.4688, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.6447, decode.d0.loss_mask: 0.5093, decode.d0.loss_dice: 0.7848, decode.d1.loss_cls: 0.3050, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7297, decode.d2.loss_cls: 0.2508, decode.d2.loss_mask: 0.4811, decode.d2.loss_dice: 0.7090, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.6888, decode.d4.loss_cls: 0.2275, decode.d4.loss_mask: 0.4725, decode.d4.loss_dice: 0.6877, decode.d5.loss_cls: 0.2171, decode.d5.loss_mask: 0.4714, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4698, decode.d6.loss_dice: 0.6829, decode.d7.loss_cls: 0.2143, decode.d7.loss_mask: 0.4691, decode.d7.loss_dice: 0.6849, decode.d8.loss_cls: 0.2109, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.6799, loss: 15.5321 2022-09-16 14:49:18,161 - mmseg - INFO - Iter [74600/80000] lr: 9.693e-08, eta: 2:59:11, time: 1.986, data_time: 0.071, memory: 47124, decode.loss_cls: 0.2140, decode.loss_mask: 0.4562, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.5930, decode.d0.loss_mask: 0.5008, decode.d0.loss_dice: 0.7876, decode.d1.loss_cls: 0.3044, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7321, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2401, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.6942, decode.d4.loss_cls: 0.2280, decode.d4.loss_mask: 0.4626, decode.d4.loss_dice: 0.6910, decode.d5.loss_cls: 0.2237, decode.d5.loss_mask: 0.4579, decode.d5.loss_dice: 0.6892, decode.d6.loss_cls: 0.2187, decode.d6.loss_mask: 0.4600, decode.d6.loss_dice: 0.6856, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4582, decode.d7.loss_dice: 0.6855, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6799, loss: 15.4151 2022-09-16 14:50:53,107 - mmseg - INFO - Iter [74650/80000] lr: 9.604e-08, eta: 2:57:31, time: 1.899, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2212, decode.loss_mask: 0.4531, decode.loss_dice: 0.6691, decode.d0.loss_cls: 1.6363, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7744, decode.d1.loss_cls: 0.3148, decode.d1.loss_mask: 0.4814, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4677, decode.d2.loss_dice: 0.6931, decode.d3.loss_cls: 0.2473, decode.d3.loss_mask: 0.4585, decode.d3.loss_dice: 0.6787, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4545, decode.d4.loss_dice: 0.6753, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4563, decode.d5.loss_dice: 0.6752, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4534, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.2195, decode.d7.loss_mask: 0.4538, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6726, loss: 15.3547 2022-09-16 14:52:28,677 - mmseg - INFO - Iter [74700/80000] lr: 9.514e-08, eta: 2:55:51, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2226, decode.loss_mask: 0.4490, decode.loss_dice: 0.6926, decode.d0.loss_cls: 1.6100, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3073, decode.d1.loss_mask: 0.4724, decode.d1.loss_dice: 0.7393, decode.d2.loss_cls: 0.2669, decode.d2.loss_mask: 0.4626, decode.d2.loss_dice: 0.7124, decode.d3.loss_cls: 0.2477, decode.d3.loss_mask: 0.4574, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4557, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.6949, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4524, decode.d6.loss_dice: 0.6870, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4508, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2240, decode.d8.loss_mask: 0.4502, decode.d8.loss_dice: 0.6898, loss: 15.4899 2022-09-16 14:54:05,862 - mmseg - INFO - Iter [74750/80000] lr: 9.424e-08, eta: 2:54:11, time: 1.944, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2017, decode.loss_mask: 0.4548, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.5665, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7652, decode.d1.loss_cls: 0.2880, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7150, decode.d2.loss_cls: 0.2396, decode.d2.loss_mask: 0.4655, decode.d2.loss_dice: 0.6897, decode.d3.loss_cls: 0.2266, decode.d3.loss_mask: 0.4610, decode.d3.loss_dice: 0.6798, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4606, decode.d4.loss_dice: 0.6732, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.2042, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6662, decode.d7.loss_cls: 0.1983, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6738, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6675, loss: 15.0716 2022-09-16 14:55:40,606 - mmseg - INFO - Iter [74800/80000] lr: 9.334e-08, eta: 2:52:31, time: 1.895, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2023, decode.loss_mask: 0.4674, decode.loss_dice: 0.6728, decode.d0.loss_cls: 1.5528, decode.d0.loss_mask: 0.5018, decode.d0.loss_dice: 0.7663, decode.d1.loss_cls: 0.2879, decode.d1.loss_mask: 0.4914, decode.d1.loss_dice: 0.7219, decode.d2.loss_cls: 0.2442, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.6932, decode.d3.loss_cls: 0.2328, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.6812, decode.d4.loss_cls: 0.2151, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.6795, decode.d5.loss_cls: 0.2124, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.2094, decode.d6.loss_mask: 0.4677, decode.d6.loss_dice: 0.6740, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4677, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4669, decode.d8.loss_dice: 0.6721, loss: 15.2352 2022-09-16 14:57:16,164 - mmseg - INFO - Iter [74850/80000] lr: 9.245e-08, eta: 2:50:51, time: 1.911, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2136, decode.loss_mask: 0.4404, decode.loss_dice: 0.6602, decode.d0.loss_cls: 1.6078, decode.d0.loss_mask: 0.4836, decode.d0.loss_dice: 0.7572, decode.d1.loss_cls: 0.3002, decode.d1.loss_mask: 0.4700, decode.d1.loss_dice: 0.7088, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4552, decode.d2.loss_dice: 0.6818, decode.d3.loss_cls: 0.2389, decode.d3.loss_mask: 0.4509, decode.d3.loss_dice: 0.6755, decode.d4.loss_cls: 0.2292, decode.d4.loss_mask: 0.4490, decode.d4.loss_dice: 0.6677, decode.d5.loss_cls: 0.2216, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.6664, decode.d6.loss_cls: 0.2178, decode.d6.loss_mask: 0.4429, decode.d6.loss_dice: 0.6627, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4427, decode.d7.loss_dice: 0.6617, decode.d8.loss_cls: 0.2103, decode.d8.loss_mask: 0.4408, decode.d8.loss_dice: 0.6598, loss: 15.0347 2022-09-16 14:58:52,126 - mmseg - INFO - Iter [74900/80000] lr: 9.155e-08, eta: 2:49:11, time: 1.919, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2088, decode.loss_mask: 0.4579, decode.loss_dice: 0.6778, decode.d0.loss_cls: 1.6015, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.2969, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7230, decode.d2.loss_cls: 0.2507, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.2354, decode.d3.loss_mask: 0.4679, decode.d3.loss_dice: 0.6887, decode.d4.loss_cls: 0.2233, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6818, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.6837, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6808, decode.d7.loss_cls: 0.2057, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6788, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4579, decode.d8.loss_dice: 0.6789, loss: 15.3321 2022-09-16 15:00:29,120 - mmseg - INFO - Iter [74950/80000] lr: 9.065e-08, eta: 2:47:31, time: 1.940, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2207, decode.loss_mask: 0.4533, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.6300, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.4774, decode.d1.loss_dice: 0.7507, decode.d2.loss_cls: 0.2770, decode.d2.loss_mask: 0.4637, decode.d2.loss_dice: 0.7246, decode.d3.loss_cls: 0.2554, decode.d3.loss_mask: 0.4583, decode.d3.loss_dice: 0.7145, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4575, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2219, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6994, decode.d8.loss_cls: 0.2213, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.7028, loss: 15.7018 2022-09-16 15:02:04,063 - mmseg - INFO - Saving checkpoint at 75000 iterations 2022-09-16 15:02:35,570 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 15:02:35,580 - mmseg - INFO - Iter [75000/80000] lr: 8.976e-08, eta: 2:45:54, time: 2.526, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2173, decode.loss_mask: 0.4730, decode.loss_dice: 0.6793, decode.d0.loss_cls: 1.6157, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.7802, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.4986, decode.d1.loss_dice: 0.7295, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7050, decode.d3.loss_cls: 0.2470, decode.d3.loss_mask: 0.4821, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.2322, decode.d4.loss_mask: 0.4803, decode.d4.loss_dice: 0.6901, decode.d5.loss_cls: 0.2255, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.6854, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4766, decode.d6.loss_dice: 0.6828, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.6792, loss: 15.6147 2022-09-16 15:04:12,776 - mmseg - INFO - Iter [75050/80000] lr: 8.886e-08, eta: 2:44:15, time: 1.947, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2173, decode.loss_mask: 0.4625, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.6163, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3123, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2601, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2435, decode.d3.loss_mask: 0.4723, decode.d3.loss_dice: 0.7122, decode.d4.loss_cls: 0.2342, decode.d4.loss_mask: 0.4693, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4678, decode.d5.loss_dice: 0.7103, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4651, decode.d6.loss_dice: 0.7014, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4639, decode.d7.loss_dice: 0.7015, decode.d8.loss_cls: 0.2175, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.7025, loss: 15.7148 2022-09-16 15:05:51,207 - mmseg - INFO - Iter [75100/80000] lr: 8.796e-08, eta: 2:42:35, time: 1.969, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2216, decode.loss_mask: 0.4561, decode.loss_dice: 0.6773, decode.d0.loss_cls: 1.5803, decode.d0.loss_mask: 0.5015, decode.d0.loss_dice: 0.7825, decode.d1.loss_cls: 0.3105, decode.d1.loss_mask: 0.4848, decode.d1.loss_dice: 0.7327, decode.d2.loss_cls: 0.2678, decode.d2.loss_mask: 0.4730, decode.d2.loss_dice: 0.7049, decode.d3.loss_cls: 0.2497, decode.d3.loss_mask: 0.4649, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2420, decode.d4.loss_mask: 0.4635, decode.d4.loss_dice: 0.6941, decode.d5.loss_cls: 0.2302, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6891, decode.d6.loss_cls: 0.2280, decode.d6.loss_mask: 0.4565, decode.d6.loss_dice: 0.6862, decode.d7.loss_cls: 0.2247, decode.d7.loss_mask: 0.4569, decode.d7.loss_dice: 0.6858, decode.d8.loss_cls: 0.2218, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.6840, loss: 15.4855 2022-09-16 15:07:28,030 - mmseg - INFO - Iter [75150/80000] lr: 8.706e-08, eta: 2:40:55, time: 1.936, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2108, decode.loss_mask: 0.4517, decode.loss_dice: 0.6879, decode.d0.loss_cls: 1.5831, decode.d0.loss_mask: 0.4899, decode.d0.loss_dice: 0.7868, decode.d1.loss_cls: 0.2953, decode.d1.loss_mask: 0.4791, decode.d1.loss_dice: 0.7413, decode.d2.loss_cls: 0.2536, decode.d2.loss_mask: 0.4657, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2402, decode.d3.loss_mask: 0.4571, decode.d3.loss_dice: 0.7022, decode.d4.loss_cls: 0.2325, decode.d4.loss_mask: 0.4557, decode.d4.loss_dice: 0.6978, decode.d5.loss_cls: 0.2216, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.2147, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6943, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4536, decode.d7.loss_dice: 0.6905, decode.d8.loss_cls: 0.2119, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6870, loss: 15.3913 2022-09-16 15:09:05,800 - mmseg - INFO - Iter [75200/80000] lr: 8.617e-08, eta: 2:39:15, time: 1.955, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2012, decode.loss_mask: 0.4564, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.5716, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7829, decode.d1.loss_cls: 0.2933, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7327, decode.d2.loss_cls: 0.2479, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7102, decode.d3.loss_cls: 0.2307, decode.d3.loss_mask: 0.4626, decode.d3.loss_dice: 0.6980, decode.d4.loss_cls: 0.2239, decode.d4.loss_mask: 0.4592, decode.d4.loss_dice: 0.6939, decode.d5.loss_cls: 0.2108, decode.d5.loss_mask: 0.4599, decode.d5.loss_dice: 0.6953, decode.d6.loss_cls: 0.2070, decode.d6.loss_mask: 0.4581, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2010, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.2003, decode.d8.loss_mask: 0.4579, decode.d8.loss_dice: 0.6903, loss: 15.3136 2022-09-16 15:10:41,871 - mmseg - INFO - Iter [75250/80000] lr: 8.527e-08, eta: 2:37:35, time: 1.921, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2213, decode.loss_mask: 0.4652, decode.loss_dice: 0.6797, decode.d0.loss_cls: 1.6207, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.7823, decode.d1.loss_cls: 0.3135, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7296, decode.d2.loss_cls: 0.2623, decode.d2.loss_mask: 0.4767, decode.d2.loss_dice: 0.7089, decode.d3.loss_cls: 0.2468, decode.d3.loss_mask: 0.4734, decode.d3.loss_dice: 0.6929, decode.d4.loss_cls: 0.2324, decode.d4.loss_mask: 0.4711, decode.d4.loss_dice: 0.6904, decode.d5.loss_cls: 0.2233, decode.d5.loss_mask: 0.4710, decode.d5.loss_dice: 0.6888, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.6830, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6811, decode.d8.loss_cls: 0.2213, decode.d8.loss_mask: 0.4671, decode.d8.loss_dice: 0.6807, loss: 15.5693 2022-09-16 15:12:20,101 - mmseg - INFO - Iter [75300/80000] lr: 8.437e-08, eta: 2:35:56, time: 1.965, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2073, decode.loss_mask: 0.4561, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.6088, decode.d0.loss_mask: 0.4942, decode.d0.loss_dice: 0.7797, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7290, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7090, decode.d3.loss_cls: 0.2358, decode.d3.loss_mask: 0.4627, decode.d3.loss_dice: 0.6943, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.2147, decode.d5.loss_mask: 0.4600, decode.d5.loss_dice: 0.6893, decode.d6.loss_cls: 0.2077, decode.d6.loss_mask: 0.4571, decode.d6.loss_dice: 0.6821, decode.d7.loss_cls: 0.2082, decode.d7.loss_mask: 0.4576, decode.d7.loss_dice: 0.6835, decode.d8.loss_cls: 0.2049, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.6830, loss: 15.3374 2022-09-16 15:13:56,518 - mmseg - INFO - Iter [75350/80000] lr: 8.347e-08, eta: 2:34:16, time: 1.928, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2345, decode.loss_mask: 0.4552, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.6326, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.3351, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2780, decode.d2.loss_mask: 0.4669, decode.d2.loss_dice: 0.7153, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4637, decode.d3.loss_dice: 0.7056, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4591, decode.d4.loss_dice: 0.7023, decode.d5.loss_cls: 0.2410, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2351, decode.d6.loss_mask: 0.4583, decode.d6.loss_dice: 0.6949, decode.d7.loss_cls: 0.2365, decode.d7.loss_mask: 0.4561, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2362, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.6903, loss: 15.7111 2022-09-16 15:15:32,829 - mmseg - INFO - Iter [75400/80000] lr: 8.258e-08, eta: 2:32:36, time: 1.926, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2014, decode.loss_mask: 0.4449, decode.loss_dice: 0.6702, decode.d0.loss_cls: 1.5987, decode.d0.loss_mask: 0.4825, decode.d0.loss_dice: 0.7674, decode.d1.loss_cls: 0.3044, decode.d1.loss_mask: 0.4634, decode.d1.loss_dice: 0.7185, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4535, decode.d2.loss_dice: 0.6938, decode.d3.loss_cls: 0.2323, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.6786, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.4497, decode.d4.loss_dice: 0.6770, decode.d5.loss_cls: 0.2143, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.2107, decode.d6.loss_mask: 0.4444, decode.d6.loss_dice: 0.6690, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6685, decode.d8.loss_cls: 0.2006, decode.d8.loss_mask: 0.4460, decode.d8.loss_dice: 0.6684, loss: 15.0567 2022-09-16 15:17:08,276 - mmseg - INFO - Iter [75450/80000] lr: 8.168e-08, eta: 2:30:56, time: 1.909, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2171, decode.loss_mask: 0.4611, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.6329, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3178, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7420, decode.d2.loss_cls: 0.2679, decode.d2.loss_mask: 0.4764, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2481, decode.d3.loss_mask: 0.4726, decode.d3.loss_dice: 0.7090, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.7026, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4650, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4618, decode.d6.loss_dice: 0.6976, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6982, decode.d8.loss_cls: 0.2217, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.6937, loss: 15.6810 2022-09-16 15:18:45,784 - mmseg - INFO - Iter [75500/80000] lr: 8.078e-08, eta: 2:29:17, time: 1.950, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2035, decode.loss_mask: 0.4505, decode.loss_dice: 0.6709, decode.d0.loss_cls: 1.5863, decode.d0.loss_mask: 0.4909, decode.d0.loss_dice: 0.7568, decode.d1.loss_cls: 0.2906, decode.d1.loss_mask: 0.4743, decode.d1.loss_dice: 0.7198, decode.d2.loss_cls: 0.2512, decode.d2.loss_mask: 0.4614, decode.d2.loss_dice: 0.6924, decode.d3.loss_cls: 0.2229, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.6828, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4574, decode.d4.loss_dice: 0.6793, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6743, decode.d6.loss_cls: 0.2090, decode.d6.loss_mask: 0.4517, decode.d6.loss_dice: 0.6728, decode.d7.loss_cls: 0.1989, decode.d7.loss_mask: 0.4507, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.2037, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6687, loss: 15.0892 2022-09-16 15:20:23,272 - mmseg - INFO - Iter [75550/80000] lr: 7.988e-08, eta: 2:27:37, time: 1.950, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2123, decode.loss_mask: 0.4445, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.6323, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7718, decode.d1.loss_cls: 0.3088, decode.d1.loss_mask: 0.4709, decode.d1.loss_dice: 0.7252, decode.d2.loss_cls: 0.2563, decode.d2.loss_mask: 0.4588, decode.d2.loss_dice: 0.7004, decode.d3.loss_cls: 0.2379, decode.d3.loss_mask: 0.4503, decode.d3.loss_dice: 0.6851, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4477, decode.d5.loss_dice: 0.6784, decode.d6.loss_cls: 0.2165, decode.d6.loss_mask: 0.4482, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.2199, decode.d7.loss_mask: 0.4464, decode.d7.loss_dice: 0.6757, decode.d8.loss_cls: 0.2118, decode.d8.loss_mask: 0.4460, decode.d8.loss_dice: 0.6773, loss: 15.2493 2022-09-16 15:22:00,954 - mmseg - INFO - Iter [75600/80000] lr: 7.899e-08, eta: 2:25:57, time: 1.954, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2167, decode.loss_mask: 0.4715, decode.loss_dice: 0.7062, decode.d0.loss_cls: 1.6325, decode.d0.loss_mask: 0.5083, decode.d0.loss_dice: 0.8013, decode.d1.loss_cls: 0.3119, decode.d1.loss_mask: 0.4948, decode.d1.loss_dice: 0.7510, decode.d2.loss_cls: 0.2668, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2321, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.7120, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4722, decode.d5.loss_dice: 0.7115, decode.d6.loss_cls: 0.2285, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2247, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.7044, decode.d8.loss_cls: 0.2196, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.7034, loss: 15.8323 2022-09-16 15:23:39,010 - mmseg - INFO - Iter [75650/80000] lr: 7.809e-08, eta: 2:24:18, time: 1.961, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2190, decode.loss_mask: 0.4747, decode.loss_dice: 0.6863, decode.d0.loss_cls: 1.6561, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.7881, decode.d1.loss_cls: 0.3185, decode.d1.loss_mask: 0.5000, decode.d1.loss_dice: 0.7345, decode.d2.loss_cls: 0.2623, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7146, decode.d3.loss_cls: 0.2437, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.2358, decode.d4.loss_mask: 0.4812, decode.d4.loss_dice: 0.6970, decode.d5.loss_cls: 0.2258, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4800, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2198, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.6919, decode.d8.loss_cls: 0.2241, decode.d8.loss_mask: 0.4753, decode.d8.loss_dice: 0.6894, loss: 15.7717 2022-09-16 15:25:14,475 - mmseg - INFO - Iter [75700/80000] lr: 7.719e-08, eta: 2:22:38, time: 1.909, data_time: 0.015, memory: 47124, decode.loss_cls: 0.1988, decode.loss_mask: 0.4757, decode.loss_dice: 0.6959, decode.d0.loss_cls: 1.5725, decode.d0.loss_mask: 0.5201, decode.d0.loss_dice: 0.7902, decode.d1.loss_cls: 0.2853, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7408, decode.d2.loss_cls: 0.2385, decode.d2.loss_mask: 0.4890, decode.d2.loss_dice: 0.7164, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4823, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2090, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.6998, decode.d6.loss_cls: 0.2050, decode.d6.loss_mask: 0.4785, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.2065, decode.d7.loss_mask: 0.4778, decode.d7.loss_dice: 0.6953, decode.d8.loss_cls: 0.2025, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.6943, loss: 15.5548 2022-09-16 15:26:50,195 - mmseg - INFO - Iter [75750/80000] lr: 7.629e-08, eta: 2:20:58, time: 1.914, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2158, decode.loss_mask: 0.4568, decode.loss_dice: 0.6783, decode.d0.loss_cls: 1.6468, decode.d0.loss_mask: 0.4976, decode.d0.loss_dice: 0.7805, decode.d1.loss_cls: 0.3130, decode.d1.loss_mask: 0.4852, decode.d1.loss_dice: 0.7304, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.4711, decode.d2.loss_dice: 0.7044, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4631, decode.d3.loss_dice: 0.6875, decode.d4.loss_cls: 0.2377, decode.d4.loss_mask: 0.4624, decode.d4.loss_dice: 0.6857, decode.d5.loss_cls: 0.2249, decode.d5.loss_mask: 0.4609, decode.d5.loss_dice: 0.6818, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.2221, decode.d7.loss_mask: 0.4581, decode.d7.loss_dice: 0.6745, decode.d8.loss_cls: 0.2169, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.6777, loss: 15.4627 2022-09-16 15:28:25,049 - mmseg - INFO - Iter [75800/80000] lr: 7.540e-08, eta: 2:19:18, time: 1.897, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2170, decode.loss_mask: 0.4783, decode.loss_dice: 0.6943, decode.d0.loss_cls: 1.5988, decode.d0.loss_mask: 0.5208, decode.d0.loss_dice: 0.7969, decode.d1.loss_cls: 0.3020, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2624, decode.d2.loss_mask: 0.4923, decode.d2.loss_dice: 0.7193, decode.d3.loss_cls: 0.2432, decode.d3.loss_mask: 0.4870, decode.d3.loss_dice: 0.7051, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.6969, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.6974, decode.d7.loss_cls: 0.2163, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.6964, decode.d8.loss_cls: 0.2141, decode.d8.loss_mask: 0.4773, decode.d8.loss_dice: 0.6964, loss: 15.7781 2022-09-16 15:30:03,122 - mmseg - INFO - Iter [75850/80000] lr: 7.450e-08, eta: 2:17:38, time: 1.962, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2110, decode.loss_mask: 0.4491, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.6136, decode.d0.loss_mask: 0.5003, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2985, decode.d1.loss_mask: 0.4820, decode.d1.loss_dice: 0.7274, decode.d2.loss_cls: 0.2481, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7084, decode.d3.loss_cls: 0.2347, decode.d3.loss_mask: 0.4630, decode.d3.loss_dice: 0.6893, decode.d4.loss_cls: 0.2247, decode.d4.loss_mask: 0.4610, decode.d4.loss_dice: 0.6890, decode.d5.loss_cls: 0.2162, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6843, decode.d6.loss_cls: 0.2132, decode.d6.loss_mask: 0.4523, decode.d6.loss_dice: 0.6753, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6712, decode.d8.loss_cls: 0.2098, decode.d8.loss_mask: 0.4504, decode.d8.loss_dice: 0.6741, loss: 15.2860 2022-09-16 15:31:38,715 - mmseg - INFO - Iter [75900/80000] lr: 7.360e-08, eta: 2:15:59, time: 1.911, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4559, decode.loss_dice: 0.6746, decode.d0.loss_cls: 1.5802, decode.d0.loss_mask: 0.4988, decode.d0.loss_dice: 0.7698, decode.d1.loss_cls: 0.3012, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7250, decode.d2.loss_cls: 0.2598, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.6991, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.6813, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6827, decode.d6.loss_cls: 0.2207, decode.d6.loss_mask: 0.4576, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.2164, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6762, decode.d8.loss_cls: 0.2194, decode.d8.loss_mask: 0.4568, decode.d8.loss_dice: 0.6746, loss: 15.3383 2022-09-16 15:33:16,149 - mmseg - INFO - Iter [75950/80000] lr: 7.271e-08, eta: 2:14:19, time: 1.949, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2038, decode.loss_mask: 0.4716, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.5724, decode.d0.loss_mask: 0.5096, decode.d0.loss_dice: 0.7820, decode.d1.loss_cls: 0.2865, decode.d1.loss_mask: 0.4959, decode.d1.loss_dice: 0.7310, decode.d2.loss_cls: 0.2438, decode.d2.loss_mask: 0.4819, decode.d2.loss_dice: 0.7073, decode.d3.loss_cls: 0.2323, decode.d3.loss_mask: 0.4774, decode.d3.loss_dice: 0.6963, decode.d4.loss_cls: 0.2198, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.6906, decode.d5.loss_cls: 0.2115, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.6826, decode.d6.loss_cls: 0.2081, decode.d6.loss_mask: 0.4725, decode.d6.loss_dice: 0.6810, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.6778, decode.d8.loss_cls: 0.2051, decode.d8.loss_mask: 0.4694, decode.d8.loss_dice: 0.6799, loss: 15.3929 2022-09-16 15:34:52,401 - mmseg - INFO - Saving checkpoint at 76000 iterations 2022-09-16 15:35:25,049 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 15:35:25,059 - mmseg - INFO - Iter [76000/80000] lr: 7.181e-08, eta: 2:12:42, time: 2.575, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2113, decode.loss_mask: 0.4786, decode.loss_dice: 0.6876, decode.d0.loss_cls: 1.5918, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.7931, decode.d1.loss_cls: 0.2904, decode.d1.loss_mask: 0.4974, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2436, decode.d2.loss_mask: 0.4911, decode.d2.loss_dice: 0.7168, decode.d3.loss_cls: 0.2326, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.6993, decode.d4.loss_cls: 0.2241, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.6958, decode.d5.loss_cls: 0.2211, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.6935, decode.d6.loss_cls: 0.2120, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.2118, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.6893, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4801, decode.d8.loss_dice: 0.6926, loss: 15.6130 2022-09-16 15:36:59,631 - mmseg - INFO - Iter [76050/80000] lr: 7.091e-08, eta: 2:11:02, time: 1.894, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2161, decode.loss_mask: 0.4628, decode.loss_dice: 0.6809, decode.d0.loss_cls: 1.5923, decode.d0.loss_mask: 0.4987, decode.d0.loss_dice: 0.7812, decode.d1.loss_cls: 0.3036, decode.d1.loss_mask: 0.4833, decode.d1.loss_dice: 0.7287, decode.d2.loss_cls: 0.2585, decode.d2.loss_mask: 0.4754, decode.d2.loss_dice: 0.7036, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4688, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.2308, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.2255, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.2282, decode.d6.loss_mask: 0.4627, decode.d6.loss_dice: 0.6816, decode.d7.loss_cls: 0.2185, decode.d7.loss_mask: 0.4652, decode.d7.loss_dice: 0.6819, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4633, decode.d8.loss_dice: 0.6835, loss: 15.4664 2022-09-16 15:38:35,048 - mmseg - INFO - Iter [76100/80000] lr: 7.001e-08, eta: 2:09:22, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2206, decode.loss_mask: 0.4799, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.6087, decode.d0.loss_mask: 0.5203, decode.d0.loss_dice: 0.7998, decode.d1.loss_cls: 0.3094, decode.d1.loss_mask: 0.5071, decode.d1.loss_dice: 0.7556, decode.d2.loss_cls: 0.2647, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2494, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7087, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4843, decode.d5.loss_dice: 0.7018, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.4815, decode.d7.loss_dice: 0.6957, decode.d8.loss_cls: 0.2187, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.6990, loss: 15.8877 2022-09-16 15:40:11,847 - mmseg - INFO - Iter [76150/80000] lr: 6.912e-08, eta: 2:07:42, time: 1.936, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2118, decode.loss_mask: 0.4404, decode.loss_dice: 0.6769, decode.d0.loss_cls: 1.5921, decode.d0.loss_mask: 0.4829, decode.d0.loss_dice: 0.7826, decode.d1.loss_cls: 0.3032, decode.d1.loss_mask: 0.4667, decode.d1.loss_dice: 0.7281, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.7003, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4487, decode.d3.loss_dice: 0.6883, decode.d4.loss_cls: 0.2228, decode.d4.loss_mask: 0.4463, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.2172, decode.d5.loss_mask: 0.4450, decode.d5.loss_dice: 0.6824, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4435, decode.d6.loss_dice: 0.6779, decode.d7.loss_cls: 0.2137, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6753, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4406, decode.d8.loss_dice: 0.6779, loss: 15.1636 2022-09-16 15:41:49,006 - mmseg - INFO - Iter [76200/80000] lr: 6.822e-08, eta: 2:06:03, time: 1.943, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2247, decode.loss_mask: 0.4749, decode.loss_dice: 0.6818, decode.d0.loss_cls: 1.6030, decode.d0.loss_mask: 0.5257, decode.d0.loss_dice: 0.7872, decode.d1.loss_cls: 0.3064, decode.d1.loss_mask: 0.5063, decode.d1.loss_dice: 0.7367, decode.d2.loss_cls: 0.2581, decode.d2.loss_mask: 0.4945, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.2450, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.6913, decode.d4.loss_cls: 0.2333, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.6930, decode.d5.loss_cls: 0.2287, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.6819, decode.d7.loss_cls: 0.2252, decode.d7.loss_mask: 0.4762, decode.d7.loss_dice: 0.6857, decode.d8.loss_cls: 0.2233, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.6852, loss: 15.7040 2022-09-16 15:43:24,919 - mmseg - INFO - Iter [76250/80000] lr: 6.732e-08, eta: 2:04:23, time: 1.918, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2013, decode.loss_mask: 0.4490, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.6026, decode.d0.loss_mask: 0.4897, decode.d0.loss_dice: 0.7802, decode.d1.loss_cls: 0.2975, decode.d1.loss_mask: 0.4751, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2479, decode.d2.loss_mask: 0.4647, decode.d2.loss_dice: 0.7090, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4572, decode.d3.loss_dice: 0.6936, decode.d4.loss_cls: 0.2172, decode.d4.loss_mask: 0.4540, decode.d4.loss_dice: 0.6948, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6869, decode.d6.loss_cls: 0.2147, decode.d6.loss_mask: 0.4488, decode.d6.loss_dice: 0.6816, decode.d7.loss_cls: 0.2046, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6827, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6809, loss: 15.2469 2022-09-16 15:44:59,318 - mmseg - INFO - Iter [76300/80000] lr: 6.642e-08, eta: 2:02:43, time: 1.888, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2200, decode.loss_mask: 0.4521, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.6266, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7843, decode.d1.loss_cls: 0.3184, decode.d1.loss_mask: 0.4807, decode.d1.loss_dice: 0.7373, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7070, decode.d3.loss_cls: 0.2460, decode.d3.loss_mask: 0.4605, decode.d3.loss_dice: 0.6938, decode.d4.loss_cls: 0.2353, decode.d4.loss_mask: 0.4551, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2298, decode.d5.loss_mask: 0.4540, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2281, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.2222, decode.d7.loss_mask: 0.4511, decode.d7.loss_dice: 0.6872, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4515, decode.d8.loss_dice: 0.6843, loss: 15.4862 2022-09-16 15:46:34,190 - mmseg - INFO - Iter [76350/80000] lr: 6.553e-08, eta: 2:01:03, time: 1.897, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2287, decode.loss_mask: 0.4453, decode.loss_dice: 0.6710, decode.d0.loss_cls: 1.6365, decode.d0.loss_mask: 0.4889, decode.d0.loss_dice: 0.7810, decode.d1.loss_cls: 0.3199, decode.d1.loss_mask: 0.4721, decode.d1.loss_dice: 0.7307, decode.d2.loss_cls: 0.2779, decode.d2.loss_mask: 0.4563, decode.d2.loss_dice: 0.6995, decode.d3.loss_cls: 0.2562, decode.d3.loss_mask: 0.4519, decode.d3.loss_dice: 0.6860, decode.d4.loss_cls: 0.2434, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.6825, decode.d5.loss_cls: 0.2387, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.2347, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6775, decode.d7.loss_cls: 0.2291, decode.d7.loss_mask: 0.4463, decode.d7.loss_dice: 0.6739, decode.d8.loss_cls: 0.2258, decode.d8.loss_mask: 0.4444, decode.d8.loss_dice: 0.6732, loss: 15.3967 2022-09-16 15:48:08,882 - mmseg - INFO - Iter [76400/80000] lr: 6.463e-08, eta: 1:59:23, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2085, decode.loss_mask: 0.4642, decode.loss_dice: 0.6830, decode.d0.loss_cls: 1.5799, decode.d0.loss_mask: 0.5003, decode.d0.loss_dice: 0.7815, decode.d1.loss_cls: 0.2945, decode.d1.loss_mask: 0.4895, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2476, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7102, decode.d3.loss_cls: 0.2385, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.6935, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2195, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.2165, decode.d6.loss_mask: 0.4650, decode.d6.loss_dice: 0.6824, decode.d7.loss_cls: 0.2149, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.2107, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6798, loss: 15.4182 2022-09-16 15:49:44,561 - mmseg - INFO - Iter [76450/80000] lr: 6.373e-08, eta: 1:57:43, time: 1.913, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2169, decode.loss_mask: 0.4609, decode.loss_dice: 0.6715, decode.d0.loss_cls: 1.6177, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7552, decode.d1.loss_cls: 0.3031, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7129, decode.d2.loss_cls: 0.2581, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.6897, decode.d3.loss_cls: 0.2478, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.6819, decode.d4.loss_cls: 0.2396, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6778, decode.d5.loss_cls: 0.2309, decode.d5.loss_mask: 0.4634, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.2269, decode.d6.loss_mask: 0.4631, decode.d6.loss_dice: 0.6708, decode.d7.loss_cls: 0.2280, decode.d7.loss_mask: 0.4605, decode.d7.loss_dice: 0.6697, decode.d8.loss_cls: 0.2240, decode.d8.loss_mask: 0.4600, decode.d8.loss_dice: 0.6726, loss: 15.3589 2022-09-16 15:51:20,519 - mmseg - INFO - Iter [76500/80000] lr: 6.283e-08, eta: 1:56:04, time: 1.919, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2103, decode.loss_mask: 0.4552, decode.loss_dice: 0.6766, decode.d0.loss_cls: 1.6403, decode.d0.loss_mask: 0.4974, decode.d0.loss_dice: 0.7766, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.6983, decode.d3.loss_cls: 0.2333, decode.d3.loss_mask: 0.4653, decode.d3.loss_dice: 0.6844, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4647, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4609, decode.d5.loss_dice: 0.6836, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4578, decode.d6.loss_dice: 0.6758, decode.d7.loss_cls: 0.2067, decode.d7.loss_mask: 0.4585, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.2075, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.6772, loss: 15.3348 2022-09-16 15:52:54,004 - mmseg - INFO - Iter [76550/80000] lr: 6.194e-08, eta: 1:54:24, time: 1.870, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2133, decode.loss_mask: 0.4462, decode.loss_dice: 0.6664, decode.d0.loss_cls: 1.5931, decode.d0.loss_mask: 0.4903, decode.d0.loss_dice: 0.7692, decode.d1.loss_cls: 0.2977, decode.d1.loss_mask: 0.4799, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2587, decode.d2.loss_mask: 0.4642, decode.d2.loss_dice: 0.6962, decode.d3.loss_cls: 0.2446, decode.d3.loss_mask: 0.4580, decode.d3.loss_dice: 0.6837, decode.d4.loss_cls: 0.2309, decode.d4.loss_mask: 0.4528, decode.d4.loss_dice: 0.6787, decode.d5.loss_cls: 0.2248, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.2181, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6694, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4474, decode.d7.loss_dice: 0.6683, decode.d8.loss_cls: 0.2173, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.6688, loss: 15.2001 2022-09-16 15:54:28,711 - mmseg - INFO - Iter [76600/80000] lr: 6.104e-08, eta: 1:52:44, time: 1.894, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2061, decode.loss_mask: 0.4581, decode.loss_dice: 0.6759, decode.d0.loss_cls: 1.6105, decode.d0.loss_mask: 0.4953, decode.d0.loss_dice: 0.7707, decode.d1.loss_cls: 0.3029, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7224, decode.d2.loss_cls: 0.2549, decode.d2.loss_mask: 0.4706, decode.d2.loss_dice: 0.6969, decode.d3.loss_cls: 0.2327, decode.d3.loss_mask: 0.4658, decode.d3.loss_dice: 0.6851, decode.d4.loss_cls: 0.2276, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.6821, decode.d5.loss_cls: 0.2136, decode.d5.loss_mask: 0.4623, decode.d5.loss_dice: 0.6799, decode.d6.loss_cls: 0.2143, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.6795, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4589, decode.d7.loss_dice: 0.6734, decode.d8.loss_cls: 0.2127, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6770, loss: 15.3042 2022-09-16 15:56:03,160 - mmseg - INFO - Iter [76650/80000] lr: 6.014e-08, eta: 1:51:04, time: 1.889, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2114, decode.loss_mask: 0.4772, decode.loss_dice: 0.6974, decode.d0.loss_cls: 1.6342, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.7824, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7398, decode.d2.loss_cls: 0.2582, decode.d2.loss_mask: 0.4896, decode.d2.loss_dice: 0.7141, decode.d3.loss_cls: 0.2435, decode.d3.loss_mask: 0.4854, decode.d3.loss_dice: 0.7058, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4821, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2306, decode.d5.loss_mask: 0.4784, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.2147, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.6989, decode.d7.loss_cls: 0.2134, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.6969, decode.d8.loss_cls: 0.2132, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.6921, loss: 15.7451 2022-09-16 15:57:38,590 - mmseg - INFO - Iter [76700/80000] lr: 5.924e-08, eta: 1:49:25, time: 1.909, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2182, decode.loss_mask: 0.4583, decode.loss_dice: 0.6742, decode.d0.loss_cls: 1.6353, decode.d0.loss_mask: 0.5039, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3079, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2607, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7015, decode.d3.loss_cls: 0.2415, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.6891, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4641, decode.d4.loss_dice: 0.6831, decode.d5.loss_cls: 0.2265, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.6875, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.6787, decode.d7.loss_cls: 0.2199, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.2193, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6788, loss: 15.4726 2022-09-16 15:59:14,006 - mmseg - INFO - Iter [76750/80000] lr: 5.835e-08, eta: 1:47:45, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2101, decode.loss_mask: 0.4528, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.6479, decode.d0.loss_mask: 0.4949, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2638, decode.d2.loss_mask: 0.4670, decode.d2.loss_dice: 0.7158, decode.d3.loss_cls: 0.2425, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.7047, decode.d4.loss_cls: 0.2327, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.7010, decode.d6.loss_cls: 0.2190, decode.d6.loss_mask: 0.4559, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2193, decode.d7.loss_mask: 0.4558, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2131, decode.d8.loss_mask: 0.4568, decode.d8.loss_dice: 0.6927, loss: 15.5517 2022-09-16 16:00:48,712 - mmseg - INFO - Iter [76800/80000] lr: 5.745e-08, eta: 1:46:05, time: 1.894, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2177, decode.loss_mask: 0.4511, decode.loss_dice: 0.6723, decode.d0.loss_cls: 1.5851, decode.d0.loss_mask: 0.4901, decode.d0.loss_dice: 0.7669, decode.d1.loss_cls: 0.3112, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7244, decode.d2.loss_cls: 0.2665, decode.d2.loss_mask: 0.4617, decode.d2.loss_dice: 0.6903, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4574, decode.d3.loss_dice: 0.6819, decode.d4.loss_cls: 0.2375, decode.d4.loss_mask: 0.4539, decode.d4.loss_dice: 0.6770, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4535, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.2257, decode.d6.loss_mask: 0.4530, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4547, decode.d7.loss_dice: 0.6727, decode.d8.loss_cls: 0.2191, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.6732, loss: 15.2632 2022-09-16 16:02:25,076 - mmseg - INFO - Iter [76850/80000] lr: 5.655e-08, eta: 1:44:25, time: 1.928, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2279, decode.loss_mask: 0.4829, decode.loss_dice: 0.6955, decode.d0.loss_cls: 1.6180, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8044, decode.d1.loss_cls: 0.3230, decode.d1.loss_mask: 0.5128, decode.d1.loss_dice: 0.7495, decode.d2.loss_cls: 0.2703, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4944, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2332, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4867, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.6942, loss: 15.9874 2022-09-16 16:04:00,378 - mmseg - INFO - Iter [76900/80000] lr: 5.566e-08, eta: 1:42:46, time: 1.906, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2153, decode.loss_mask: 0.4665, decode.loss_dice: 0.6979, decode.d0.loss_cls: 1.6339, decode.d0.loss_mask: 0.5083, decode.d0.loss_dice: 0.8044, decode.d1.loss_cls: 0.3142, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7496, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4819, decode.d2.loss_dice: 0.7231, decode.d3.loss_cls: 0.2402, decode.d3.loss_mask: 0.4768, decode.d3.loss_dice: 0.7168, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7104, decode.d5.loss_cls: 0.2210, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7055, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4687, decode.d6.loss_dice: 0.7008, decode.d7.loss_cls: 0.2148, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.7035, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.7012, loss: 15.7445 2022-09-16 16:05:35,787 - mmseg - INFO - Iter [76950/80000] lr: 5.476e-08, eta: 1:41:06, time: 1.908, data_time: 0.016, memory: 47124, decode.loss_cls: 0.1950, decode.loss_mask: 0.4666, decode.loss_dice: 0.6780, decode.d0.loss_cls: 1.5965, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.7687, decode.d1.loss_cls: 0.2914, decode.d1.loss_mask: 0.4938, decode.d1.loss_dice: 0.7266, decode.d2.loss_cls: 0.2510, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.6936, decode.d3.loss_cls: 0.2236, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.6892, decode.d4.loss_cls: 0.2160, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.6877, decode.d5.loss_cls: 0.2091, decode.d5.loss_mask: 0.4684, decode.d5.loss_dice: 0.6842, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.6781, decode.d7.loss_cls: 0.1992, decode.d7.loss_mask: 0.4644, decode.d7.loss_dice: 0.6771, decode.d8.loss_cls: 0.1940, decode.d8.loss_mask: 0.4645, decode.d8.loss_dice: 0.6734, loss: 15.2797 2022-09-16 16:07:10,206 - mmseg - INFO - Saving checkpoint at 77000 iterations 2022-09-16 16:07:39,520 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 16:07:39,530 - mmseg - INFO - Iter [77000/80000] lr: 5.386e-08, eta: 1:39:28, time: 2.472, data_time: 0.016, memory: 47124, decode.loss_cls: 0.1931, decode.loss_mask: 0.4636, decode.loss_dice: 0.6652, decode.d0.loss_cls: 1.5837, decode.d0.loss_mask: 0.5001, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2892, decode.d1.loss_mask: 0.4870, decode.d1.loss_dice: 0.7178, decode.d2.loss_cls: 0.2414, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.6970, decode.d3.loss_cls: 0.2249, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.6791, decode.d4.loss_cls: 0.2136, decode.d4.loss_mask: 0.4652, decode.d4.loss_dice: 0.6753, decode.d5.loss_cls: 0.2038, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.2000, decode.d6.loss_mask: 0.4639, decode.d6.loss_dice: 0.6696, decode.d7.loss_cls: 0.1971, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1921, decode.d8.loss_mask: 0.4615, decode.d8.loss_dice: 0.6665, loss: 15.1237 2022-09-16 16:09:15,074 - mmseg - INFO - Iter [77050/80000] lr: 5.296e-08, eta: 1:37:48, time: 1.914, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2216, decode.loss_mask: 0.4754, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.6507, decode.d0.loss_mask: 0.5155, decode.d0.loss_dice: 0.8164, decode.d1.loss_cls: 0.3188, decode.d1.loss_mask: 0.5000, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.2743, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2544, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7243, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4825, decode.d4.loss_dice: 0.7211, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4788, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4798, decode.d6.loss_dice: 0.7130, decode.d7.loss_cls: 0.2226, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7132, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7099, loss: 16.0413 2022-09-16 16:10:54,176 - mmseg - INFO - Iter [77100/80000] lr: 5.207e-08, eta: 1:36:09, time: 1.981, data_time: 0.065, memory: 47124, decode.loss_cls: 0.2328, decode.loss_mask: 0.4631, decode.loss_dice: 0.7155, decode.d0.loss_cls: 1.6582, decode.d0.loss_mask: 0.5065, decode.d0.loss_dice: 0.8210, decode.d1.loss_cls: 0.3288, decode.d1.loss_mask: 0.4841, decode.d1.loss_dice: 0.7673, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.4754, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2593, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2413, decode.d5.loss_mask: 0.4651, decode.d5.loss_dice: 0.7209, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.7172, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.7156, loss: 16.0381 2022-09-16 16:12:30,855 - mmseg - INFO - Iter [77150/80000] lr: 5.117e-08, eta: 1:34:29, time: 1.934, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2125, decode.loss_mask: 0.4395, decode.loss_dice: 0.6905, decode.d0.loss_cls: 1.6395, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.3137, decode.d1.loss_mask: 0.4647, decode.d1.loss_dice: 0.7408, decode.d2.loss_cls: 0.2627, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.7133, decode.d3.loss_cls: 0.2406, decode.d3.loss_mask: 0.4484, decode.d3.loss_dice: 0.7007, decode.d4.loss_cls: 0.2294, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.2207, decode.d5.loss_mask: 0.4416, decode.d5.loss_dice: 0.6957, decode.d6.loss_cls: 0.2142, decode.d6.loss_mask: 0.4428, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.2150, decode.d7.loss_mask: 0.4411, decode.d7.loss_dice: 0.6907, decode.d8.loss_cls: 0.2140, decode.d8.loss_mask: 0.4401, decode.d8.loss_dice: 0.6903, loss: 15.3543 2022-09-16 16:14:06,759 - mmseg - INFO - Iter [77200/80000] lr: 5.027e-08, eta: 1:32:50, time: 1.917, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2073, decode.loss_mask: 0.4511, decode.loss_dice: 0.6709, decode.d0.loss_cls: 1.6036, decode.d0.loss_mask: 0.4913, decode.d0.loss_dice: 0.7693, decode.d1.loss_cls: 0.3059, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7230, decode.d2.loss_cls: 0.2538, decode.d2.loss_mask: 0.4635, decode.d2.loss_dice: 0.6932, decode.d3.loss_cls: 0.2320, decode.d3.loss_mask: 0.4606, decode.d3.loss_dice: 0.6839, decode.d4.loss_cls: 0.2227, decode.d4.loss_mask: 0.4566, decode.d4.loss_dice: 0.6805, decode.d5.loss_cls: 0.2145, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.2122, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.2079, decode.d7.loss_mask: 0.4531, decode.d7.loss_dice: 0.6751, decode.d8.loss_cls: 0.2059, decode.d8.loss_mask: 0.4520, decode.d8.loss_dice: 0.6740, loss: 15.1922 2022-09-16 16:15:41,335 - mmseg - INFO - Iter [77250/80000] lr: 4.937e-08, eta: 1:31:10, time: 1.892, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2135, decode.loss_mask: 0.4566, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.5676, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.7669, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.4822, decode.d1.loss_dice: 0.7085, decode.d2.loss_cls: 0.2634, decode.d2.loss_mask: 0.4657, decode.d2.loss_dice: 0.6833, decode.d3.loss_cls: 0.2427, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.6760, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6699, decode.d5.loss_cls: 0.2232, decode.d5.loss_mask: 0.4583, decode.d5.loss_dice: 0.6713, decode.d6.loss_cls: 0.2191, decode.d6.loss_mask: 0.4576, decode.d6.loss_dice: 0.6648, decode.d7.loss_cls: 0.2176, decode.d7.loss_mask: 0.4563, decode.d7.loss_dice: 0.6587, decode.d8.loss_cls: 0.2172, decode.d8.loss_mask: 0.4554, decode.d8.loss_dice: 0.6617, loss: 15.1784 2022-09-16 16:17:17,301 - mmseg - INFO - Iter [77300/80000] lr: 4.848e-08, eta: 1:29:30, time: 1.919, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2031, decode.loss_mask: 0.4557, decode.loss_dice: 0.6753, decode.d0.loss_cls: 1.6180, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7721, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.4788, decode.d1.loss_dice: 0.7227, decode.d2.loss_cls: 0.2484, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.7014, decode.d3.loss_cls: 0.2282, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.6886, decode.d4.loss_cls: 0.2196, decode.d4.loss_mask: 0.4630, decode.d4.loss_dice: 0.6822, decode.d5.loss_cls: 0.2101, decode.d5.loss_mask: 0.4619, decode.d5.loss_dice: 0.6791, decode.d6.loss_cls: 0.2083, decode.d6.loss_mask: 0.4592, decode.d6.loss_dice: 0.6778, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.6776, decode.d8.loss_cls: 0.2041, decode.d8.loss_mask: 0.4570, decode.d8.loss_dice: 0.6797, loss: 15.2563 2022-09-16 16:18:51,619 - mmseg - INFO - Iter [77350/80000] lr: 4.758e-08, eta: 1:27:50, time: 1.887, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2183, decode.loss_mask: 0.4631, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.5967, decode.d0.loss_mask: 0.5044, decode.d0.loss_dice: 0.7956, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4893, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2605, decode.d2.loss_mask: 0.4779, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2481, decode.d3.loss_mask: 0.4736, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.2335, decode.d4.loss_mask: 0.4724, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.2229, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.6956, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.6908, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4653, decode.d7.loss_dice: 0.6891, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.6905, loss: 15.6031 2022-09-16 16:20:26,843 - mmseg - INFO - Iter [77400/80000] lr: 4.668e-08, eta: 1:26:11, time: 1.905, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2271, decode.loss_mask: 0.4575, decode.loss_dice: 0.6843, decode.d0.loss_cls: 1.6267, decode.d0.loss_mask: 0.4956, decode.d0.loss_dice: 0.7895, decode.d1.loss_cls: 0.3126, decode.d1.loss_mask: 0.4811, decode.d1.loss_dice: 0.7400, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7129, decode.d3.loss_cls: 0.2505, decode.d3.loss_mask: 0.4653, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4645, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.4615, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.2273, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6859, decode.d7.loss_cls: 0.2247, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6933, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.6897, loss: 15.5875 2022-09-16 16:22:02,585 - mmseg - INFO - Iter [77450/80000] lr: 4.578e-08, eta: 1:24:31, time: 1.915, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2201, decode.loss_mask: 0.4516, decode.loss_dice: 0.6869, decode.d0.loss_cls: 1.6138, decode.d0.loss_mask: 0.4920, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3145, decode.d1.loss_mask: 0.4755, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2707, decode.d2.loss_mask: 0.4645, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2521, decode.d3.loss_mask: 0.4597, decode.d3.loss_dice: 0.7058, decode.d4.loss_cls: 0.2398, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.7002, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4538, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4525, decode.d7.loss_dice: 0.6891, decode.d8.loss_cls: 0.2246, decode.d8.loss_mask: 0.4524, decode.d8.loss_dice: 0.6901, loss: 15.5415 2022-09-16 16:23:37,063 - mmseg - INFO - Iter [77500/80000] lr: 4.489e-08, eta: 1:22:51, time: 1.889, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2091, decode.loss_mask: 0.4393, decode.loss_dice: 0.6685, decode.d0.loss_cls: 1.6170, decode.d0.loss_mask: 0.4815, decode.d0.loss_dice: 0.7662, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4668, decode.d1.loss_dice: 0.7201, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4563, decode.d2.loss_dice: 0.6891, decode.d3.loss_cls: 0.2283, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6785, decode.d4.loss_cls: 0.2216, decode.d4.loss_mask: 0.4451, decode.d4.loss_dice: 0.6744, decode.d5.loss_cls: 0.2165, decode.d5.loss_mask: 0.4417, decode.d5.loss_dice: 0.6737, decode.d6.loss_cls: 0.2130, decode.d6.loss_mask: 0.4402, decode.d6.loss_dice: 0.6654, decode.d7.loss_cls: 0.2103, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6685, decode.d8.loss_cls: 0.2081, decode.d8.loss_mask: 0.4387, decode.d8.loss_dice: 0.6688, loss: 15.0316 2022-09-16 16:25:12,873 - mmseg - INFO - Iter [77550/80000] lr: 4.399e-08, eta: 1:21:12, time: 1.917, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2184, decode.loss_mask: 0.4806, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.5855, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.3013, decode.d1.loss_mask: 0.5023, decode.d1.loss_dice: 0.7430, decode.d2.loss_cls: 0.2514, decode.d2.loss_mask: 0.4892, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2306, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2231, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.7016, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4852, decode.d5.loss_dice: 0.7012, decode.d6.loss_cls: 0.2152, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.6931, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.2169, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.6964, loss: 15.6983 2022-09-16 16:26:49,564 - mmseg - INFO - Iter [77600/80000] lr: 4.309e-08, eta: 1:19:32, time: 1.934, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2116, decode.loss_mask: 0.4871, decode.loss_dice: 0.6875, decode.d0.loss_cls: 1.6195, decode.d0.loss_mask: 0.5351, decode.d0.loss_dice: 0.7967, decode.d1.loss_cls: 0.3128, decode.d1.loss_mask: 0.5160, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2641, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7188, decode.d3.loss_cls: 0.2425, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7031, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2245, decode.d5.loss_mask: 0.4929, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.2183, decode.d6.loss_mask: 0.4914, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2130, decode.d7.loss_mask: 0.4896, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2058, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.6893, loss: 15.8577 2022-09-16 16:28:25,783 - mmseg - INFO - Iter [77650/80000] lr: 4.219e-08, eta: 1:17:53, time: 1.924, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2091, decode.loss_mask: 0.4616, decode.loss_dice: 0.7007, decode.d0.loss_cls: 1.6577, decode.d0.loss_mask: 0.5007, decode.d0.loss_dice: 0.8036, decode.d1.loss_cls: 0.3008, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7527, decode.d2.loss_cls: 0.2552, decode.d2.loss_mask: 0.4721, decode.d2.loss_dice: 0.7201, decode.d3.loss_cls: 0.2336, decode.d3.loss_mask: 0.4687, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2242, decode.d4.loss_mask: 0.4665, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2197, decode.d5.loss_mask: 0.4660, decode.d5.loss_dice: 0.7081, decode.d6.loss_cls: 0.2154, decode.d6.loss_mask: 0.4629, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2072, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2133, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.7020, loss: 15.6722 2022-09-16 16:30:00,010 - mmseg - INFO - Iter [77700/80000] lr: 4.130e-08, eta: 1:16:13, time: 1.885, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2092, decode.loss_mask: 0.4483, decode.loss_dice: 0.6799, decode.d0.loss_cls: 1.6471, decode.d0.loss_mask: 0.4867, decode.d0.loss_dice: 0.7769, decode.d1.loss_cls: 0.3036, decode.d1.loss_mask: 0.4716, decode.d1.loss_dice: 0.7354, decode.d2.loss_cls: 0.2541, decode.d2.loss_mask: 0.4613, decode.d2.loss_dice: 0.7061, decode.d3.loss_cls: 0.2363, decode.d3.loss_mask: 0.4568, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.2221, decode.d4.loss_mask: 0.4549, decode.d4.loss_dice: 0.6922, decode.d5.loss_cls: 0.2185, decode.d5.loss_mask: 0.4554, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.2122, decode.d6.loss_mask: 0.4524, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.2073, decode.d7.loss_mask: 0.4521, decode.d7.loss_dice: 0.6860, decode.d8.loss_cls: 0.2090, decode.d8.loss_mask: 0.4504, decode.d8.loss_dice: 0.6826, loss: 15.3405 2022-09-16 16:31:35,424 - mmseg - INFO - Iter [77750/80000] lr: 4.040e-08, eta: 1:14:33, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2074, decode.loss_mask: 0.4430, decode.loss_dice: 0.6740, decode.d0.loss_cls: 1.6379, decode.d0.loss_mask: 0.4854, decode.d0.loss_dice: 0.7815, decode.d1.loss_cls: 0.2987, decode.d1.loss_mask: 0.4675, decode.d1.loss_dice: 0.7263, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.4562, decode.d2.loss_dice: 0.7005, decode.d3.loss_cls: 0.2326, decode.d3.loss_mask: 0.4553, decode.d3.loss_dice: 0.6898, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4517, decode.d4.loss_dice: 0.6838, decode.d5.loss_cls: 0.2142, decode.d5.loss_mask: 0.4501, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.2118, decode.d6.loss_mask: 0.4476, decode.d6.loss_dice: 0.6735, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6735, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4443, decode.d8.loss_dice: 0.6744, loss: 15.1988 2022-09-16 16:33:09,967 - mmseg - INFO - Iter [77800/80000] lr: 3.950e-08, eta: 1:12:54, time: 1.891, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2170, decode.loss_mask: 0.4564, decode.loss_dice: 0.6925, decode.d0.loss_cls: 1.6026, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7841, decode.d1.loss_cls: 0.2992, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7416, decode.d2.loss_cls: 0.2570, decode.d2.loss_mask: 0.4711, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.7018, decode.d4.loss_cls: 0.2301, decode.d4.loss_mask: 0.4632, decode.d4.loss_dice: 0.7017, decode.d5.loss_cls: 0.2265, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2160, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.6980, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2106, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6923, loss: 15.5131 2022-09-16 16:34:45,196 - mmseg - INFO - Iter [77850/80000] lr: 3.860e-08, eta: 1:11:14, time: 1.905, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2145, decode.loss_mask: 0.4711, decode.loss_dice: 0.6872, decode.d0.loss_cls: 1.5963, decode.d0.loss_mask: 0.5139, decode.d0.loss_dice: 0.7806, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.4967, decode.d1.loss_dice: 0.7358, decode.d2.loss_cls: 0.2558, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2407, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.6972, decode.d4.loss_cls: 0.2301, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2206, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.6963, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.6930, decode.d7.loss_cls: 0.2215, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.6892, decode.d8.loss_cls: 0.2171, decode.d8.loss_mask: 0.4720, decode.d8.loss_dice: 0.6888, loss: 15.6168 2022-09-16 16:36:20,238 - mmseg - INFO - Iter [77900/80000] lr: 3.771e-08, eta: 1:09:35, time: 1.901, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2232, decode.loss_mask: 0.4761, decode.loss_dice: 0.6924, decode.d0.loss_cls: 1.6278, decode.d0.loss_mask: 0.5175, decode.d0.loss_dice: 0.7901, decode.d1.loss_cls: 0.3101, decode.d1.loss_mask: 0.5003, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2601, decode.d2.loss_mask: 0.4938, decode.d2.loss_dice: 0.7200, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2352, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7051, decode.d5.loss_cls: 0.2277, decode.d5.loss_mask: 0.4833, decode.d5.loss_dice: 0.7038, decode.d6.loss_cls: 0.2251, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4780, decode.d7.loss_dice: 0.6917, decode.d8.loss_cls: 0.2174, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.6937, loss: 15.8049 2022-09-16 16:37:55,750 - mmseg - INFO - Iter [77950/80000] lr: 3.681e-08, eta: 1:07:55, time: 1.910, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2190, decode.loss_mask: 0.4670, decode.loss_dice: 0.6872, decode.d0.loss_cls: 1.6160, decode.d0.loss_mask: 0.5059, decode.d0.loss_dice: 0.7917, decode.d1.loss_cls: 0.3178, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7409, decode.d2.loss_cls: 0.2665, decode.d2.loss_mask: 0.4820, decode.d2.loss_dice: 0.7166, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7016, decode.d4.loss_cls: 0.2350, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.6992, decode.d5.loss_cls: 0.2279, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.6994, decode.d6.loss_cls: 0.2230, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4659, decode.d8.loss_dice: 0.6885, loss: 15.6706 2022-09-16 16:39:27,996 - mmseg - INFO - Saving checkpoint at 78000 iterations 2022-09-16 16:39:57,155 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 16:39:57,158 - mmseg - INFO - Iter [78000/80000] lr: 3.591e-08, eta: 1:06:17, time: 2.426, data_time: 0.015, memory: 47124, decode.loss_cls: 0.1942, decode.loss_mask: 0.4397, decode.loss_dice: 0.6724, decode.d0.loss_cls: 1.6190, decode.d0.loss_mask: 0.4782, decode.d0.loss_dice: 0.7679, decode.d1.loss_cls: 0.2889, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.7153, decode.d2.loss_cls: 0.2403, decode.d2.loss_mask: 0.4512, decode.d2.loss_dice: 0.6935, decode.d3.loss_cls: 0.2193, decode.d3.loss_mask: 0.4476, decode.d3.loss_dice: 0.6851, decode.d4.loss_cls: 0.2136, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6755, decode.d5.loss_cls: 0.2070, decode.d5.loss_mask: 0.4432, decode.d5.loss_dice: 0.6744, decode.d6.loss_cls: 0.2024, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6713, decode.d7.loss_cls: 0.1951, decode.d7.loss_mask: 0.4413, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.1944, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6733, loss: 14.9623 2022-09-16 16:41:32,728 - mmseg - INFO - Iter [78050/80000] lr: 3.502e-08, eta: 1:04:37, time: 1.914, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2102, decode.loss_mask: 0.4336, decode.loss_dice: 0.6603, decode.d0.loss_cls: 1.6285, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7653, decode.d1.loss_cls: 0.3071, decode.d1.loss_mask: 0.4564, decode.d1.loss_dice: 0.7135, decode.d2.loss_cls: 0.2578, decode.d2.loss_mask: 0.4409, decode.d2.loss_dice: 0.6891, decode.d3.loss_cls: 0.2374, decode.d3.loss_mask: 0.4404, decode.d3.loss_dice: 0.6743, decode.d4.loss_cls: 0.2269, decode.d4.loss_mask: 0.4357, decode.d4.loss_dice: 0.6655, decode.d5.loss_cls: 0.2196, decode.d5.loss_mask: 0.4349, decode.d5.loss_dice: 0.6661, decode.d6.loss_cls: 0.2170, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6647, decode.d7.loss_cls: 0.2128, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.2120, decode.d8.loss_mask: 0.4328, decode.d8.loss_dice: 0.6632, loss: 14.9696 2022-09-16 16:43:07,141 - mmseg - INFO - Iter [78100/80000] lr: 3.412e-08, eta: 1:02:57, time: 1.889, data_time: 0.016, memory: 47124, decode.loss_cls: 0.1944, decode.loss_mask: 0.4884, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.5782, decode.d0.loss_mask: 0.5292, decode.d0.loss_dice: 0.7954, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.5121, decode.d1.loss_dice: 0.7453, decode.d2.loss_cls: 0.2415, decode.d2.loss_mask: 0.5017, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2185, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7094, decode.d4.loss_cls: 0.2096, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2022, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7036, decode.d6.loss_cls: 0.1994, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7000, decode.d7.loss_cls: 0.1944, decode.d7.loss_mask: 0.4909, decode.d7.loss_dice: 0.6975, decode.d8.loss_cls: 0.1912, decode.d8.loss_mask: 0.4917, decode.d8.loss_dice: 0.7015, loss: 15.6911 2022-09-16 16:44:42,217 - mmseg - INFO - Iter [78150/80000] lr: 3.322e-08, eta: 1:01:18, time: 1.901, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2103, decode.loss_mask: 0.4614, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.6015, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7822, decode.d1.loss_cls: 0.3027, decode.d1.loss_mask: 0.4854, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2398, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.6929, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4690, decode.d4.loss_dice: 0.6917, decode.d5.loss_cls: 0.2196, decode.d5.loss_mask: 0.4647, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.2133, decode.d6.loss_mask: 0.4644, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4630, decode.d7.loss_dice: 0.6829, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4614, decode.d8.loss_dice: 0.6793, loss: 15.4453 2022-09-16 16:46:17,367 - mmseg - INFO - Iter [78200/80000] lr: 3.232e-08, eta: 0:59:38, time: 1.903, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2110, decode.loss_mask: 0.4334, decode.loss_dice: 0.6599, decode.d0.loss_cls: 1.6022, decode.d0.loss_mask: 0.4726, decode.d0.loss_dice: 0.7560, decode.d1.loss_cls: 0.3024, decode.d1.loss_mask: 0.4549, decode.d1.loss_dice: 0.7040, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6843, decode.d3.loss_cls: 0.2425, decode.d3.loss_mask: 0.4401, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.2315, decode.d4.loss_mask: 0.4365, decode.d4.loss_dice: 0.6676, decode.d5.loss_cls: 0.2259, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6639, decode.d6.loss_cls: 0.2224, decode.d6.loss_mask: 0.4361, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.2186, decode.d7.loss_mask: 0.4348, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.2118, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6610, loss: 14.9471 2022-09-16 16:47:54,346 - mmseg - INFO - Iter [78250/80000] lr: 3.143e-08, eta: 0:57:59, time: 1.940, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2139, decode.loss_mask: 0.4538, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.6096, decode.d0.loss_mask: 0.4924, decode.d0.loss_dice: 0.7885, decode.d1.loss_cls: 0.3052, decode.d1.loss_mask: 0.4799, decode.d1.loss_dice: 0.7400, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2424, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.7013, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4603, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2241, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6961, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4567, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.2152, decode.d7.loss_mask: 0.4556, decode.d7.loss_dice: 0.6874, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4542, decode.d8.loss_dice: 0.6848, loss: 15.4748 2022-09-16 16:49:28,963 - mmseg - INFO - Iter [78300/80000] lr: 3.053e-08, eta: 0:56:19, time: 1.892, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2197, decode.loss_mask: 0.4525, decode.loss_dice: 0.6698, decode.d0.loss_cls: 1.6133, decode.d0.loss_mask: 0.4922, decode.d0.loss_dice: 0.7665, decode.d1.loss_cls: 0.3152, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2655, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.2512, decode.d3.loss_mask: 0.4598, decode.d3.loss_dice: 0.6810, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4567, decode.d4.loss_dice: 0.6828, decode.d5.loss_cls: 0.2252, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6771, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4553, decode.d6.loss_dice: 0.6733, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.2177, decode.d8.loss_mask: 0.4529, decode.d8.loss_dice: 0.6736, loss: 15.3208 2022-09-16 16:51:04,783 - mmseg - INFO - Iter [78350/80000] lr: 2.963e-08, eta: 0:54:40, time: 1.916, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2130, decode.loss_mask: 0.4785, decode.loss_dice: 0.6949, decode.d0.loss_cls: 1.5976, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.7864, decode.d1.loss_cls: 0.3016, decode.d1.loss_mask: 0.5060, decode.d1.loss_dice: 0.7497, decode.d2.loss_cls: 0.2585, decode.d2.loss_mask: 0.4957, decode.d2.loss_dice: 0.7283, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4890, decode.d3.loss_dice: 0.7096, decode.d4.loss_cls: 0.2281, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7027, decode.d6.loss_cls: 0.2139, decode.d6.loss_mask: 0.4807, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2110, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.6954, decode.d8.loss_cls: 0.2135, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7021, loss: 15.7770 2022-09-16 16:52:41,538 - mmseg - INFO - Iter [78400/80000] lr: 2.873e-08, eta: 0:53:00, time: 1.935, data_time: 0.064, memory: 47124, decode.loss_cls: 0.2024, decode.loss_mask: 0.4685, decode.loss_dice: 0.6870, decode.d0.loss_cls: 1.5724, decode.d0.loss_mask: 0.5054, decode.d0.loss_dice: 0.7831, decode.d1.loss_cls: 0.2999, decode.d1.loss_mask: 0.4957, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2486, decode.d2.loss_mask: 0.4811, decode.d2.loss_dice: 0.7165, decode.d3.loss_cls: 0.2283, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2210, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.6954, decode.d5.loss_cls: 0.2108, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.2072, decode.d6.loss_mask: 0.4690, decode.d6.loss_dice: 0.6902, decode.d7.loss_cls: 0.2048, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.6869, decode.d8.loss_cls: 0.2024, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.6870, loss: 15.4533 2022-09-16 16:54:16,968 - mmseg - INFO - Iter [78450/80000] lr: 2.784e-08, eta: 0:51:21, time: 1.909, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2068, decode.loss_mask: 0.4638, decode.loss_dice: 0.6797, decode.d0.loss_cls: 1.6497, decode.d0.loss_mask: 0.5074, decode.d0.loss_dice: 0.7774, decode.d1.loss_cls: 0.2973, decode.d1.loss_mask: 0.4889, decode.d1.loss_dice: 0.7314, decode.d2.loss_cls: 0.2562, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7033, decode.d3.loss_cls: 0.2325, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.6961, decode.d4.loss_cls: 0.2202, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2165, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.6865, decode.d6.loss_cls: 0.2131, decode.d6.loss_mask: 0.4662, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.2076, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.6797, loss: 15.4608 2022-09-16 16:55:52,018 - mmseg - INFO - Iter [78500/80000] lr: 2.694e-08, eta: 0:49:41, time: 1.901, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2339, decode.loss_mask: 0.4642, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.6420, decode.d0.loss_mask: 0.4985, decode.d0.loss_dice: 0.8122, decode.d1.loss_cls: 0.3311, decode.d1.loss_mask: 0.4872, decode.d1.loss_dice: 0.7652, decode.d2.loss_cls: 0.2870, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2632, decode.d3.loss_mask: 0.4713, decode.d3.loss_dice: 0.7267, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.7248, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.7177, decode.d6.loss_cls: 0.2392, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2380, decode.d7.loss_mask: 0.4679, decode.d7.loss_dice: 0.7152, decode.d8.loss_cls: 0.2362, decode.d8.loss_mask: 0.4636, decode.d8.loss_dice: 0.7096, loss: 16.0452 2022-09-16 16:57:27,401 - mmseg - INFO - Iter [78550/80000] lr: 2.604e-08, eta: 0:48:02, time: 1.908, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2045, decode.loss_mask: 0.4533, decode.loss_dice: 0.6856, decode.d0.loss_cls: 1.5769, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7764, decode.d1.loss_cls: 0.2885, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2400, decode.d2.loss_mask: 0.4634, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2222, decode.d3.loss_mask: 0.4620, decode.d3.loss_dice: 0.6986, decode.d4.loss_cls: 0.2214, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4570, decode.d5.loss_dice: 0.6895, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.2025, decode.d8.loss_mask: 0.4522, decode.d8.loss_dice: 0.6856, loss: 15.2574 2022-09-16 16:59:03,100 - mmseg - INFO - Iter [78600/80000] lr: 2.514e-08, eta: 0:46:22, time: 1.914, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2278, decode.loss_mask: 0.4501, decode.loss_dice: 0.6810, decode.d0.loss_cls: 1.6327, decode.d0.loss_mask: 0.4881, decode.d0.loss_dice: 0.7864, decode.d1.loss_cls: 0.3200, decode.d1.loss_mask: 0.4708, decode.d1.loss_dice: 0.7313, decode.d2.loss_cls: 0.2743, decode.d2.loss_mask: 0.4596, decode.d2.loss_dice: 0.7036, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4556, decode.d3.loss_dice: 0.6938, decode.d4.loss_cls: 0.2442, decode.d4.loss_mask: 0.4547, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.2381, decode.d5.loss_mask: 0.4541, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.2293, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.2302, decode.d7.loss_mask: 0.4503, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2307, decode.d8.loss_mask: 0.4503, decode.d8.loss_dice: 0.6837, loss: 15.5006 2022-09-16 17:00:37,222 - mmseg - INFO - Iter [78650/80000] lr: 2.425e-08, eta: 0:44:43, time: 1.882, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2043, decode.loss_mask: 0.4301, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.6306, decode.d0.loss_mask: 0.4619, decode.d0.loss_dice: 0.7477, decode.d1.loss_cls: 0.3050, decode.d1.loss_mask: 0.4504, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.2570, decode.d2.loss_mask: 0.4435, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.2385, decode.d3.loss_mask: 0.4391, decode.d3.loss_dice: 0.6606, decode.d4.loss_cls: 0.2307, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6572, decode.d5.loss_cls: 0.2247, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6590, decode.d6.loss_cls: 0.2179, decode.d6.loss_mask: 0.4279, decode.d6.loss_dice: 0.6487, decode.d7.loss_cls: 0.2118, decode.d7.loss_mask: 0.4276, decode.d7.loss_dice: 0.6517, decode.d8.loss_cls: 0.2123, decode.d8.loss_mask: 0.4254, decode.d8.loss_dice: 0.6471, loss: 14.7930 2022-09-16 17:02:10,115 - mmseg - INFO - Iter [78700/80000] lr: 2.335e-08, eta: 0:43:03, time: 1.858, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2052, decode.loss_mask: 0.4661, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.6587, decode.d0.loss_mask: 0.5067, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4935, decode.d1.loss_dice: 0.7571, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4792, decode.d2.loss_dice: 0.7241, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4723, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2255, decode.d4.loss_mask: 0.4677, decode.d4.loss_dice: 0.7043, decode.d5.loss_cls: 0.2154, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.7048, decode.d6.loss_cls: 0.2129, decode.d6.loss_mask: 0.4675, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.2084, decode.d8.loss_mask: 0.4645, decode.d8.loss_dice: 0.6956, loss: 15.6759 2022-09-16 17:03:45,339 - mmseg - INFO - Iter [78750/80000] lr: 2.245e-08, eta: 0:41:24, time: 1.904, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2175, decode.loss_mask: 0.4620, decode.loss_dice: 0.6819, decode.d0.loss_cls: 1.5740, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7844, decode.d1.loss_cls: 0.3130, decode.d1.loss_mask: 0.4877, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2627, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.7096, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.6924, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.6841, decode.d6.loss_cls: 0.2250, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6806, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.6834, decode.d8.loss_cls: 0.2164, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6824, loss: 15.4920 2022-09-16 17:05:20,985 - mmseg - INFO - Iter [78800/80000] lr: 2.155e-08, eta: 0:39:44, time: 1.913, data_time: 0.020, memory: 47124, decode.loss_cls: 0.2166, decode.loss_mask: 0.4642, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.6397, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.7916, decode.d1.loss_cls: 0.3172, decode.d1.loss_mask: 0.4877, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.4753, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2446, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2394, decode.d4.loss_mask: 0.4664, decode.d4.loss_dice: 0.6970, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4678, decode.d5.loss_dice: 0.6975, decode.d6.loss_cls: 0.2207, decode.d6.loss_mask: 0.4655, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2202, decode.d7.loss_mask: 0.4635, decode.d7.loss_dice: 0.6919, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6896, loss: 15.6580 2022-09-16 17:06:56,153 - mmseg - INFO - Iter [78850/80000] lr: 2.066e-08, eta: 0:38:05, time: 1.904, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2005, decode.loss_mask: 0.4667, decode.loss_dice: 0.6715, decode.d0.loss_cls: 1.6308, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7752, decode.d1.loss_cls: 0.2960, decode.d1.loss_mask: 0.4918, decode.d1.loss_dice: 0.7251, decode.d2.loss_cls: 0.2469, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.6960, decode.d3.loss_cls: 0.2258, decode.d3.loss_mask: 0.4761, decode.d3.loss_dice: 0.6881, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4732, decode.d4.loss_dice: 0.6850, decode.d5.loss_cls: 0.2091, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.2109, decode.d6.loss_mask: 0.4687, decode.d6.loss_dice: 0.6724, decode.d7.loss_cls: 0.2059, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.6696, decode.d8.loss_cls: 0.2047, decode.d8.loss_mask: 0.4651, decode.d8.loss_dice: 0.6703, loss: 15.3444 2022-09-16 17:08:30,486 - mmseg - INFO - Iter [78900/80000] lr: 1.976e-08, eta: 0:36:25, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2086, decode.loss_mask: 0.4666, decode.loss_dice: 0.6814, decode.d0.loss_cls: 1.6123, decode.d0.loss_mask: 0.5006, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2528, decode.d2.loss_mask: 0.4776, decode.d2.loss_dice: 0.7068, decode.d3.loss_cls: 0.2344, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.6977, decode.d4.loss_cls: 0.2255, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.6939, decode.d5.loss_cls: 0.2162, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.6933, decode.d6.loss_cls: 0.2146, decode.d6.loss_mask: 0.4696, decode.d6.loss_dice: 0.6836, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4695, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.2077, decode.d8.loss_mask: 0.4704, decode.d8.loss_dice: 0.6886, loss: 15.4931 2022-09-16 17:10:04,166 - mmseg - INFO - Iter [78950/80000] lr: 1.886e-08, eta: 0:34:46, time: 1.874, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2064, decode.loss_mask: 0.4554, decode.loss_dice: 0.6861, decode.d0.loss_cls: 1.6067, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.7764, decode.d1.loss_cls: 0.2987, decode.d1.loss_mask: 0.4838, decode.d1.loss_dice: 0.7401, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7140, decode.d3.loss_cls: 0.2318, decode.d3.loss_mask: 0.4623, decode.d3.loss_dice: 0.6998, decode.d4.loss_cls: 0.2199, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.6988, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4604, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4584, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2049, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.2038, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.6896, loss: 15.3927 2022-09-16 17:11:38,846 - mmseg - INFO - Saving checkpoint at 79000 iterations 2022-09-16 17:12:12,685 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 17:12:12,695 - mmseg - INFO - Iter [79000/80000] lr: 1.797e-08, eta: 0:33:07, time: 2.563, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2264, decode.loss_mask: 0.4612, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.6123, decode.d0.loss_mask: 0.5025, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.4848, decode.d1.loss_dice: 0.7396, decode.d2.loss_cls: 0.2682, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2567, decode.d3.loss_mask: 0.4663, decode.d3.loss_dice: 0.7018, decode.d4.loss_cls: 0.2440, decode.d4.loss_mask: 0.4672, decode.d4.loss_dice: 0.7013, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4657, decode.d5.loss_dice: 0.6962, decode.d6.loss_cls: 0.2315, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6934, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.2261, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6915, loss: 15.6679 2022-09-16 17:13:48,327 - mmseg - INFO - Iter [79050/80000] lr: 1.707e-08, eta: 0:31:28, time: 1.920, data_time: 0.024, memory: 47124, decode.loss_cls: 0.2099, decode.loss_mask: 0.4781, decode.loss_dice: 0.7076, decode.d0.loss_cls: 1.5951, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.7965, decode.d1.loss_cls: 0.3076, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7536, decode.d2.loss_cls: 0.2556, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7315, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.7187, decode.d4.loss_cls: 0.2263, decode.d4.loss_mask: 0.4862, decode.d4.loss_dice: 0.7199, decode.d5.loss_cls: 0.2167, decode.d5.loss_mask: 0.4832, decode.d5.loss_dice: 0.7142, decode.d6.loss_cls: 0.2154, decode.d6.loss_mask: 0.4803, decode.d6.loss_dice: 0.7099, decode.d7.loss_cls: 0.2110, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7106, decode.d8.loss_cls: 0.2093, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.7097, loss: 15.8328 2022-09-16 17:15:23,981 - mmseg - INFO - Iter [79100/80000] lr: 1.617e-08, eta: 0:29:48, time: 1.913, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2152, decode.loss_mask: 0.4541, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.5806, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.8041, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.4787, decode.d1.loss_dice: 0.7550, decode.d2.loss_cls: 0.2564, decode.d2.loss_mask: 0.4684, decode.d2.loss_dice: 0.7308, decode.d3.loss_cls: 0.2429, decode.d3.loss_mask: 0.4609, decode.d3.loss_dice: 0.7149, decode.d4.loss_cls: 0.2363, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2283, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.7084, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4553, decode.d6.loss_dice: 0.7040, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4547, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2157, decode.d8.loss_mask: 0.4547, decode.d8.loss_dice: 0.7047, loss: 15.6039 2022-09-16 17:16:58,133 - mmseg - INFO - Iter [79150/80000] lr: 1.527e-08, eta: 0:28:09, time: 1.883, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2029, decode.loss_mask: 0.4624, decode.loss_dice: 0.6619, decode.d0.loss_cls: 1.5897, decode.d0.loss_mask: 0.5042, decode.d0.loss_dice: 0.7715, decode.d1.loss_cls: 0.2960, decode.d1.loss_mask: 0.4906, decode.d1.loss_dice: 0.7156, decode.d2.loss_cls: 0.2496, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.6848, decode.d3.loss_cls: 0.2316, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.6735, decode.d4.loss_cls: 0.2204, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.6722, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.6659, decode.d6.loss_cls: 0.2094, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6672, decode.d7.loss_cls: 0.2070, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.6672, decode.d8.loss_cls: 0.2029, decode.d8.loss_mask: 0.4628, decode.d8.loss_dice: 0.6670, loss: 15.1994 2022-09-16 17:18:32,555 - mmseg - INFO - Iter [79200/80000] lr: 1.438e-08, eta: 0:26:29, time: 1.888, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2156, decode.loss_mask: 0.4665, decode.loss_dice: 0.6750, decode.d0.loss_cls: 1.6151, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7772, decode.d1.loss_cls: 0.3098, decode.d1.loss_mask: 0.4947, decode.d1.loss_dice: 0.7314, decode.d2.loss_cls: 0.2661, decode.d2.loss_mask: 0.4805, decode.d2.loss_dice: 0.7010, decode.d3.loss_cls: 0.2473, decode.d3.loss_mask: 0.4745, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4718, decode.d4.loss_dice: 0.6853, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4694, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4705, decode.d6.loss_dice: 0.6823, decode.d7.loss_cls: 0.2196, decode.d7.loss_mask: 0.4685, decode.d7.loss_dice: 0.6777, decode.d8.loss_cls: 0.2131, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.6769, loss: 15.5085 2022-09-16 17:20:08,148 - mmseg - INFO - Iter [79250/80000] lr: 1.348e-08, eta: 0:24:50, time: 1.912, data_time: 0.018, memory: 47124, decode.loss_cls: 0.2123, decode.loss_mask: 0.4522, decode.loss_dice: 0.6964, decode.d0.loss_cls: 1.6101, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7970, decode.d1.loss_cls: 0.3012, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7513, decode.d2.loss_cls: 0.2565, decode.d2.loss_mask: 0.4648, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2382, decode.d3.loss_mask: 0.4619, decode.d3.loss_dice: 0.7144, decode.d4.loss_cls: 0.2296, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.7024, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4549, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2191, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4528, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.2166, decode.d8.loss_mask: 0.4525, decode.d8.loss_dice: 0.6984, loss: 15.5321 2022-09-16 17:21:42,822 - mmseg - INFO - Iter [79300/80000] lr: 1.258e-08, eta: 0:23:10, time: 1.893, data_time: 0.016, memory: 47124, decode.loss_cls: 0.1890, decode.loss_mask: 0.4542, decode.loss_dice: 0.6721, decode.d0.loss_cls: 1.5908, decode.d0.loss_mask: 0.4972, decode.d0.loss_dice: 0.7750, decode.d1.loss_cls: 0.2799, decode.d1.loss_mask: 0.4820, decode.d1.loss_dice: 0.7297, decode.d2.loss_cls: 0.2345, decode.d2.loss_mask: 0.4660, decode.d2.loss_dice: 0.6960, decode.d3.loss_cls: 0.2195, decode.d3.loss_mask: 0.4612, decode.d3.loss_dice: 0.6839, decode.d4.loss_cls: 0.2105, decode.d4.loss_mask: 0.4595, decode.d4.loss_dice: 0.6818, decode.d5.loss_cls: 0.2018, decode.d5.loss_mask: 0.4604, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.2003, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.6755, decode.d7.loss_cls: 0.1949, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6729, decode.d8.loss_cls: 0.1923, decode.d8.loss_mask: 0.4577, decode.d8.loss_dice: 0.6728, loss: 15.1002 2022-09-16 17:23:16,726 - mmseg - INFO - Iter [79350/80000] lr: 1.168e-08, eta: 0:21:31, time: 1.878, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2150, decode.loss_mask: 0.4525, decode.loss_dice: 0.6768, decode.d0.loss_cls: 1.6289, decode.d0.loss_mask: 0.4955, decode.d0.loss_dice: 0.7837, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.4787, decode.d1.loss_dice: 0.7290, decode.d2.loss_cls: 0.2626, decode.d2.loss_mask: 0.4707, decode.d2.loss_dice: 0.7061, decode.d3.loss_cls: 0.2436, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6908, decode.d4.loss_cls: 0.2369, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.6890, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.6839, decode.d6.loss_cls: 0.2230, decode.d6.loss_mask: 0.4561, decode.d6.loss_dice: 0.6762, decode.d7.loss_cls: 0.2205, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6764, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6851, loss: 15.4298 2022-09-16 17:24:50,402 - mmseg - INFO - Iter [79400/80000] lr: 1.079e-08, eta: 0:19:52, time: 1.874, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2060, decode.loss_mask: 0.4651, decode.loss_dice: 0.6898, decode.d0.loss_cls: 1.5957, decode.d0.loss_mask: 0.5057, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.2953, decode.d1.loss_mask: 0.4879, decode.d1.loss_dice: 0.7384, decode.d2.loss_cls: 0.2513, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.7154, decode.d3.loss_cls: 0.2262, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7053, decode.d4.loss_cls: 0.2230, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7024, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4703, decode.d5.loss_dice: 0.6922, decode.d6.loss_cls: 0.2114, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.6917, decode.d7.loss_cls: 0.2068, decode.d7.loss_mask: 0.4668, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.2054, decode.d8.loss_mask: 0.4666, decode.d8.loss_dice: 0.6928, loss: 15.5083 2022-09-16 17:26:24,014 - mmseg - INFO - Iter [79450/80000] lr: 9.889e-09, eta: 0:18:12, time: 1.872, data_time: 0.019, memory: 47124, decode.loss_cls: 0.2127, decode.loss_mask: 0.4625, decode.loss_dice: 0.6734, decode.d0.loss_cls: 1.5775, decode.d0.loss_mask: 0.5020, decode.d0.loss_dice: 0.7641, decode.d1.loss_cls: 0.3038, decode.d1.loss_mask: 0.4842, decode.d1.loss_dice: 0.7182, decode.d2.loss_cls: 0.2497, decode.d2.loss_mask: 0.4758, decode.d2.loss_dice: 0.6993, decode.d3.loss_cls: 0.2440, decode.d3.loss_mask: 0.4702, decode.d3.loss_dice: 0.6825, decode.d4.loss_cls: 0.2302, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.6842, decode.d5.loss_cls: 0.2189, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4662, decode.d6.loss_dice: 0.6766, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4631, decode.d7.loss_dice: 0.6716, decode.d8.loss_cls: 0.2169, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.6718, loss: 15.3363 2022-09-16 17:27:58,334 - mmseg - INFO - Iter [79500/80000] lr: 8.992e-09, eta: 0:16:33, time: 1.886, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2128, decode.loss_mask: 0.4576, decode.loss_dice: 0.6734, decode.d0.loss_cls: 1.6013, decode.d0.loss_mask: 0.4936, decode.d0.loss_dice: 0.7727, decode.d1.loss_cls: 0.3056, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7206, decode.d2.loss_cls: 0.2558, decode.d2.loss_mask: 0.4669, decode.d2.loss_dice: 0.6965, decode.d3.loss_cls: 0.2388, decode.d3.loss_mask: 0.4637, decode.d3.loss_dice: 0.6826, decode.d4.loss_cls: 0.2300, decode.d4.loss_mask: 0.4606, decode.d4.loss_dice: 0.6804, decode.d5.loss_cls: 0.2213, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.6807, decode.d6.loss_cls: 0.2217, decode.d6.loss_mask: 0.4581, decode.d6.loss_dice: 0.6793, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.6760, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6761, loss: 15.3081 2022-09-16 17:29:32,674 - mmseg - INFO - Iter [79550/80000] lr: 8.094e-09, eta: 0:14:53, time: 1.887, data_time: 0.015, memory: 47124, decode.loss_cls: 0.2068, decode.loss_mask: 0.4561, decode.loss_dice: 0.6651, decode.d0.loss_cls: 1.5801, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7651, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7168, decode.d2.loss_cls: 0.2473, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.6909, decode.d3.loss_cls: 0.2303, decode.d3.loss_mask: 0.4651, decode.d3.loss_dice: 0.6804, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4626, decode.d4.loss_dice: 0.6780, decode.d5.loss_cls: 0.2136, decode.d5.loss_mask: 0.4606, decode.d5.loss_dice: 0.6782, decode.d6.loss_cls: 0.2094, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6727, decode.d7.loss_cls: 0.2100, decode.d7.loss_mask: 0.4561, decode.d7.loss_dice: 0.6686, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.6701, loss: 15.1840 2022-09-16 17:31:07,057 - mmseg - INFO - Iter [79600/80000] lr: 7.197e-09, eta: 0:13:14, time: 1.888, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2092, decode.loss_mask: 0.4541, decode.loss_dice: 0.6732, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.4923, decode.d0.loss_dice: 0.7665, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.4786, decode.d1.loss_dice: 0.7242, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4683, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.2357, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6856, decode.d4.loss_cls: 0.2246, decode.d4.loss_mask: 0.4603, decode.d4.loss_dice: 0.6809, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.6776, decode.d6.loss_cls: 0.2114, decode.d6.loss_mask: 0.4586, decode.d6.loss_dice: 0.6752, decode.d7.loss_cls: 0.2109, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.6757, decode.d8.loss_cls: 0.2061, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6788, loss: 15.2770 2022-09-16 17:32:44,248 - mmseg - INFO - Iter [79650/80000] lr: 6.300e-09, eta: 0:11:35, time: 1.944, data_time: 0.069, memory: 47124, decode.loss_cls: 0.2185, decode.loss_mask: 0.4497, decode.loss_dice: 0.6771, decode.d0.loss_cls: 1.6413, decode.d0.loss_mask: 0.4866, decode.d0.loss_dice: 0.7832, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.4752, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2745, decode.d2.loss_mask: 0.4636, decode.d2.loss_dice: 0.7060, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.6911, decode.d4.loss_cls: 0.2401, decode.d4.loss_mask: 0.4533, decode.d4.loss_dice: 0.6835, decode.d5.loss_cls: 0.2358, decode.d5.loss_mask: 0.4540, decode.d5.loss_dice: 0.6813, decode.d6.loss_cls: 0.2278, decode.d6.loss_mask: 0.4513, decode.d6.loss_dice: 0.6779, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4507, decode.d7.loss_dice: 0.6786, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6807, loss: 15.4532 2022-09-16 17:34:19,211 - mmseg - INFO - Iter [79700/80000] lr: 5.402e-09, eta: 0:09:55, time: 1.899, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2136, decode.loss_mask: 0.4592, decode.loss_dice: 0.6819, decode.d0.loss_cls: 1.5916, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7770, decode.d1.loss_cls: 0.3112, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2520, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7120, decode.d3.loss_cls: 0.2398, decode.d3.loss_mask: 0.4715, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2299, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.6948, decode.d5.loss_cls: 0.2256, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.2164, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6829, loss: 15.4408 2022-09-16 17:35:53,028 - mmseg - INFO - Iter [79750/80000] lr: 4.505e-09, eta: 0:08:16, time: 1.876, data_time: 0.016, memory: 47124, decode.loss_cls: 0.1925, decode.loss_mask: 0.4751, decode.loss_dice: 0.6861, decode.d0.loss_cls: 1.5813, decode.d0.loss_mask: 0.5171, decode.d0.loss_dice: 0.7796, decode.d1.loss_cls: 0.2865, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7339, decode.d2.loss_cls: 0.2481, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7038, decode.d3.loss_cls: 0.2223, decode.d3.loss_mask: 0.4839, decode.d3.loss_dice: 0.6976, decode.d4.loss_cls: 0.2150, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.2074, decode.d5.loss_mask: 0.4783, decode.d5.loss_dice: 0.6886, decode.d6.loss_cls: 0.2033, decode.d6.loss_mask: 0.4745, decode.d6.loss_dice: 0.6883, decode.d7.loss_cls: 0.1962, decode.d7.loss_mask: 0.4758, decode.d7.loss_dice: 0.6839, decode.d8.loss_cls: 0.1972, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.6827, loss: 15.4422 2022-09-16 17:37:28,619 - mmseg - INFO - Iter [79800/80000] lr: 3.607e-09, eta: 0:06:37, time: 1.912, data_time: 0.017, memory: 47124, decode.loss_cls: 0.2057, decode.loss_mask: 0.4722, decode.loss_dice: 0.6991, decode.d0.loss_cls: 1.5887, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.7943, decode.d1.loss_cls: 0.2912, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7511, decode.d2.loss_cls: 0.2469, decode.d2.loss_mask: 0.4891, decode.d2.loss_dice: 0.7262, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2216, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7142, decode.d5.loss_cls: 0.2178, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2117, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2125, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2068, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7036, loss: 15.7043 2022-09-16 17:39:03,807 - mmseg - INFO - Iter [79850/80000] lr: 2.710e-09, eta: 0:04:57, time: 1.903, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2031, decode.loss_mask: 0.4637, decode.loss_dice: 0.6619, decode.d0.loss_cls: 1.5650, decode.d0.loss_mask: 0.4989, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2947, decode.d1.loss_mask: 0.4872, decode.d1.loss_dice: 0.7123, decode.d2.loss_cls: 0.2542, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.6845, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4695, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.4666, decode.d4.loss_dice: 0.6720, decode.d5.loss_cls: 0.2138, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.6677, decode.d6.loss_cls: 0.2059, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.2064, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6645, decode.d8.loss_cls: 0.2095, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.6612, loss: 15.1386 2022-09-16 17:40:37,964 - mmseg - INFO - Iter [79900/80000] lr: 1.813e-09, eta: 0:03:18, time: 1.884, data_time: 0.015, memory: 47124, decode.loss_cls: 0.1991, decode.loss_mask: 0.4572, decode.loss_dice: 0.6810, decode.d0.loss_cls: 1.5586, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7723, decode.d1.loss_cls: 0.2920, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7247, decode.d2.loss_cls: 0.2443, decode.d2.loss_mask: 0.4712, decode.d2.loss_dice: 0.7038, decode.d3.loss_cls: 0.2268, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.6941, decode.d4.loss_cls: 0.2151, decode.d4.loss_mask: 0.4637, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4623, decode.d5.loss_dice: 0.6860, decode.d6.loss_cls: 0.2063, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6853, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4612, decode.d7.loss_dice: 0.6834, decode.d8.loss_cls: 0.1988, decode.d8.loss_mask: 0.4583, decode.d8.loss_dice: 0.6818, loss: 15.2333 2022-09-16 17:42:12,470 - mmseg - INFO - Iter [79950/80000] lr: 9.153e-10, eta: 0:01:39, time: 1.890, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2399, decode.loss_mask: 0.4444, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.6503, decode.d0.loss_mask: 0.4869, decode.d0.loss_dice: 0.7828, decode.d1.loss_cls: 0.3324, decode.d1.loss_mask: 0.4703, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2883, decode.d2.loss_mask: 0.4576, decode.d2.loss_dice: 0.7077, decode.d3.loss_cls: 0.2672, decode.d3.loss_mask: 0.4532, decode.d3.loss_dice: 0.6991, decode.d4.loss_cls: 0.2570, decode.d4.loss_mask: 0.4486, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.2524, decode.d5.loss_mask: 0.4463, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.2451, decode.d6.loss_mask: 0.4454, decode.d6.loss_dice: 0.6868, decode.d7.loss_cls: 0.2430, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6868, decode.d8.loss_cls: 0.2380, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6865, loss: 15.6042 2022-09-16 17:43:47,124 - mmseg - INFO - Saving checkpoint at 80000 iterations 2022-09-16 17:44:17,217 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 17:44:17,226 - mmseg - INFO - Iter [80000/80000] lr: 1.795e-11, eta: 0:00:00, time: 2.493, data_time: 0.016, memory: 47124, decode.loss_cls: 0.2107, decode.loss_mask: 0.4502, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.6337, decode.d0.loss_mask: 0.4919, decode.d0.loss_dice: 0.7706, decode.d1.loss_cls: 0.2971, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.4636, decode.d2.loss_dice: 0.6919, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4599, decode.d3.loss_dice: 0.6830, decode.d4.loss_cls: 0.2257, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.6808, decode.d5.loss_cls: 0.2215, decode.d5.loss_mask: 0.4554, decode.d5.loss_dice: 0.6761, decode.d6.loss_cls: 0.2129, decode.d6.loss_mask: 0.4549, decode.d6.loss_dice: 0.6740, decode.d7.loss_cls: 0.2107, decode.d7.loss_mask: 0.4536, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.2120, decode.d8.loss_mask: 0.4510, decode.d8.loss_dice: 0.6702, loss: 15.2425 2022-09-16 17:46:09,482 - mmseg - INFO - per class results: 2022-09-16 17:46:09,490 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 83.08 | 90.11 | | building | 85.67 | 92.77 | | sky | 95.19 | 97.55 | | floor | 85.99 | 91.27 | | tree | 78.39 | 89.92 | | ceiling | 87.87 | 93.18 | | road | 87.7 | 91.89 | | bed | 94.23 | 97.74 | | windowpane | 66.58 | 80.34 | | grass | 73.59 | 85.81 | | cabinet | 65.17 | 75.85 | | sidewalk | 71.3 | 84.23 | | person | 88.2 | 94.81 | | earth | 40.59 | 53.75 | | door | 61.31 | 77.5 | | table | 72.08 | 82.84 | | mountain | 62.86 | 75.52 | | plant | 56.94 | 68.78 | | curtain | 81.42 | 91.28 | | chair | 70.66 | 80.73 | | car | 89.54 | 94.61 | | water | 61.42 | 76.1 | | painting | 81.18 | 91.52 | | sofa | 82.35 | 90.88 | | shelf | 51.44 | 66.08 | | house | 49.86 | 66.79 | | sea | 67.25 | 84.89 | | mirror | 81.04 | 91.72 | | rug | 69.31 | 84.19 | | field | 32.19 | 56.22 | | armchair | 61.01 | 80.69 | | seat | 71.19 | 86.79 | | fence | 53.3 | 73.21 | | desk | 61.53 | 82.25 | | rock | 58.6 | 75.81 | | wardrobe | 63.78 | 79.51 | | lamp | 80.93 | 90.56 | | bathtub | 91.44 | 93.84 | | railing | 42.65 | 62.09 | | cushion | 72.99 | 83.59 | | base | 42.52 | 59.1 | | box | 43.28 | 57.56 | | column | 58.17 | 71.16 | | signboard | 43.92 | 64.65 | | chest of drawers | 36.71 | 71.36 | | counter | 45.23 | 60.38 | | sand | 56.85 | 87.42 | | sink | 85.38 | 88.99 | | skyscraper | 44.68 | 56.21 | | fireplace | 80.82 | 96.01 | | refrigerator | 86.07 | 93.75 | | grandstand | 54.53 | 85.8 | | path | 29.08 | 44.11 | | stairs | 36.8 | 45.31 | | runway | 73.94 | 95.44 | | case | 65.46 | 88.89 | | pool table | 95.61 | 98.0 | | pillow | 69.54 | 81.52 | | screen door | 82.23 | 88.36 | | stairway | 58.8 | 74.45 | | river | 14.81 | 29.15 | | bridge | 71.47 | 82.86 | | bookcase | 45.56 | 63.97 | | blind | 39.32 | 48.04 | | coffee table | 65.23 | 88.22 | | toilet | 92.27 | 95.09 | | flower | 54.95 | 73.1 | | book | 62.67 | 83.25 | | hill | 5.62 | 10.99 | | bench | 66.36 | 82.09 | | countertop | 70.48 | 87.54 | | stove | 87.29 | 91.91 | | palm | 55.92 | 82.23 | | kitchen island | 51.46 | 82.31 | | computer | 83.54 | 89.66 | | swivel chair | 53.21 | 78.83 | | boat | 66.62 | 91.2 | | bar | 67.2 | 75.06 | | arcade machine | 82.16 | 89.83 | | hovel | 19.23 | 21.27 | | bus | 90.73 | 97.15 | | towel | 81.03 | 87.78 | | light | 67.17 | 79.89 | | truck | 54.01 | 74.75 | | tower | 28.69 | 49.0 | | chandelier | 76.92 | 88.09 | | awning | 40.93 | 53.05 | | streetlight | 47.26 | 69.31 | | booth | 59.71 | 72.28 | | television receiver | 85.13 | 91.03 | | airplane | 82.67 | 97.27 | | dirt track | 20.77 | 34.54 | | apparel | 61.88 | 84.65 | | pole | 36.62 | 50.9 | | land | 1.34 | 2.11 | | bannister | 27.77 | 36.62 | | escalator | 62.72 | 84.78 | | ottoman | 56.16 | 77.83 | | bottle | 52.57 | 80.77 | | buffet | 57.69 | 69.43 | | poster | 34.92 | 53.7 | | stage | 19.6 | 48.02 | | van | 53.3 | 74.06 | | ship | 76.36 | 90.26 | | fountain | 32.88 | 34.03 | | conveyer belt | 79.28 | 97.85 | | canopy | 58.64 | 90.03 | | washer | 76.28 | 93.07 | | plaything | 43.41 | 64.83 | | swimming pool | 66.34 | 73.88 | | stool | 63.7 | 78.85 | | barrel | 86.94 | 97.67 | | basket | 45.6 | 69.97 | | waterfall | 80.82 | 89.52 | | tent | 88.92 | 98.24 | | bag | 28.64 | 35.28 | | minibike | 83.02 | 93.06 | | cradle | 87.4 | 97.74 | | oven | 67.9 | 83.07 | | ball | 41.03 | 43.5 | | food | 63.23 | 74.89 | | step | 16.65 | 19.43 | | tank | 64.4 | 66.37 | | trade name | 30.25 | 35.71 | | microwave | 88.61 | 94.13 | | pot | 67.6 | 80.79 | | animal | 79.21 | 81.08 | | bicycle | 63.34 | 81.37 | | lake | 66.73 | 68.67 | | dishwasher | 85.28 | 91.23 | | screen | 59.4 | 98.57 | | blanket | 36.41 | 46.74 | | sculpture | 72.68 | 91.17 | | hood | 73.92 | 87.9 | | sconce | 66.02 | 79.76 | | vase | 61.14 | 81.62 | | traffic light | 52.97 | 73.0 | | tray | 31.85 | 46.64 | | ashcan | 57.56 | 77.63 | | fan | 75.49 | 87.51 | | pier | 40.82 | 43.48 | | crt screen | 2.29 | 6.8 | | plate | 67.43 | 81.37 | | monitor | 11.09 | 14.88 | | bulletin board | 45.51 | 59.71 | | shower | 20.7 | 28.5 | | radiator | 72.69 | 92.21 | | glass | 28.37 | 30.83 | | clock | 61.65 | 70.68 | | flag | 72.69 | 86.03 | +---------------------+-------+-------+ 2022-09-16 17:46:09,491 - mmseg - INFO - Summary: 2022-09-16 17:46:09,491 - mmseg - INFO - +------+------+-------+ | aAcc | mIoU | mAcc | +------+------+-------+ | 86.9 | 60.8 | 74.19 | +------+------+-------+ 2022-09-16 17:46:09,498 - mmseg - INFO - Exp name: mask2former_beitv2_adapter_large_896_80k_ade20k_ss.py 2022-09-16 17:46:09,499 - mmseg - INFO - Iter(val) [125] aAcc: 0.8690, mIoU: 0.6080, mAcc: 0.7419, IoU.wall: 0.8308, IoU.building: 0.8567, IoU.sky: 0.9519, IoU.floor: 0.8599, IoU.tree: 0.7839, IoU.ceiling: 0.8787, IoU.road: 0.8770, IoU.bed : 0.9423, IoU.windowpane: 0.6658, IoU.grass: 0.7359, IoU.cabinet: 0.6517, IoU.sidewalk: 0.7130, IoU.person: 0.8820, IoU.earth: 0.4059, IoU.door: 0.6131, IoU.table: 0.7208, IoU.mountain: 0.6286, IoU.plant: 0.5694, IoU.curtain: 0.8142, IoU.chair: 0.7066, IoU.car: 0.8954, IoU.water: 0.6142, IoU.painting: 0.8118, IoU.sofa: 0.8235, IoU.shelf: 0.5144, IoU.house: 0.4986, IoU.sea: 0.6725, IoU.mirror: 0.8104, IoU.rug: 0.6931, IoU.field: 0.3219, IoU.armchair: 0.6101, IoU.seat: 0.7119, IoU.fence: 0.5330, IoU.desk: 0.6153, IoU.rock: 0.5860, IoU.wardrobe: 0.6378, IoU.lamp: 0.8093, IoU.bathtub: 0.9144, IoU.railing: 0.4265, IoU.cushion: 0.7299, IoU.base: 0.4252, IoU.box: 0.4328, IoU.column: 0.5817, IoU.signboard: 0.4392, IoU.chest of drawers: 0.3671, IoU.counter: 0.4523, IoU.sand: 0.5685, IoU.sink: 0.8538, IoU.skyscraper: 0.4468, IoU.fireplace: 0.8082, IoU.refrigerator: 0.8607, IoU.grandstand: 0.5453, IoU.path: 0.2908, IoU.stairs: 0.3680, IoU.runway: 0.7394, IoU.case: 0.6546, IoU.pool table: 0.9561, IoU.pillow: 0.6954, IoU.screen door: 0.8223, IoU.stairway: 0.5880, IoU.river: 0.1481, IoU.bridge: 0.7147, IoU.bookcase: 0.4556, IoU.blind: 0.3932, IoU.coffee table: 0.6523, IoU.toilet: 0.9227, IoU.flower: 0.5495, IoU.book: 0.6267, IoU.hill: 0.0562, IoU.bench: 0.6636, IoU.countertop: 0.7048, IoU.stove: 0.8729, IoU.palm: 0.5592, IoU.kitchen island: 0.5146, IoU.computer: 0.8354, IoU.swivel chair: 0.5321, IoU.boat: 0.6662, IoU.bar: 0.6720, IoU.arcade machine: 0.8216, IoU.hovel: 0.1923, IoU.bus: 0.9073, IoU.towel: 0.8103, IoU.light: 0.6717, IoU.truck: 0.5401, IoU.tower: 0.2869, IoU.chandelier: 0.7692, IoU.awning: 0.4093, IoU.streetlight: 0.4726, IoU.booth: 0.5971, IoU.television receiver: 0.8513, IoU.airplane: 0.8267, IoU.dirt track: 0.2077, IoU.apparel: 0.6188, IoU.pole: 0.3662, IoU.land: 0.0134, IoU.bannister: 0.2777, IoU.escalator: 0.6272, IoU.ottoman: 0.5616, IoU.bottle: 0.5257, IoU.buffet: 0.5769, IoU.poster: 0.3492, IoU.stage: 0.1960, IoU.van: 0.5330, IoU.ship: 0.7636, IoU.fountain: 0.3288, IoU.conveyer belt: 0.7928, IoU.canopy: 0.5864, IoU.washer: 0.7628, IoU.plaything: 0.4341, IoU.swimming pool: 0.6634, IoU.stool: 0.6370, IoU.barrel: 0.8694, IoU.basket: 0.4560, IoU.waterfall: 0.8082, IoU.tent: 0.8892, IoU.bag: 0.2864, IoU.minibike: 0.8302, IoU.cradle: 0.8740, IoU.oven: 0.6790, IoU.ball: 0.4103, IoU.food: 0.6323, IoU.step: 0.1665, IoU.tank: 0.6440, IoU.trade name: 0.3025, IoU.microwave: 0.8861, IoU.pot: 0.6760, IoU.animal: 0.7921, IoU.bicycle: 0.6334, IoU.lake: 0.6673, IoU.dishwasher: 0.8528, IoU.screen: 0.5940, IoU.blanket: 0.3641, IoU.sculpture: 0.7268, IoU.hood: 0.7392, IoU.sconce: 0.6602, IoU.vase: 0.6114, IoU.traffic light: 0.5297, IoU.tray: 0.3185, IoU.ashcan: 0.5756, IoU.fan: 0.7549, IoU.pier: 0.4082, IoU.crt screen: 0.0229, IoU.plate: 0.6743, IoU.monitor: 0.1109, IoU.bulletin board: 0.4551, IoU.shower: 0.2070, IoU.radiator: 0.7269, IoU.glass: 0.2837, IoU.clock: 0.6165, IoU.flag: 0.7269, Acc.wall: 0.9011, Acc.building: 0.9277, Acc.sky: 0.9755, Acc.floor: 0.9127, Acc.tree: 0.8992, Acc.ceiling: 0.9318, Acc.road: 0.9189, Acc.bed : 0.9774, Acc.windowpane: 0.8034, Acc.grass: 0.8581, Acc.cabinet: 0.7585, Acc.sidewalk: 0.8423, Acc.person: 0.9481, Acc.earth: 0.5375, Acc.door: 0.7750, Acc.table: 0.8284, Acc.mountain: 0.7552, Acc.plant: 0.6878, Acc.curtain: 0.9128, Acc.chair: 0.8073, Acc.car: 0.9461, Acc.water: 0.7610, Acc.painting: 0.9152, Acc.sofa: 0.9088, Acc.shelf: 0.6608, Acc.house: 0.6679, Acc.sea: 0.8489, Acc.mirror: 0.9172, Acc.rug: 0.8419, Acc.field: 0.5622, Acc.armchair: 0.8069, Acc.seat: 0.8679, Acc.fence: 0.7321, Acc.desk: 0.8225, Acc.rock: 0.7581, Acc.wardrobe: 0.7951, Acc.lamp: 0.9056, Acc.bathtub: 0.9384, Acc.railing: 0.6209, Acc.cushion: 0.8359, Acc.base: 0.5910, Acc.box: 0.5756, Acc.column: 0.7116, Acc.signboard: 0.6465, Acc.chest of drawers: 0.7136, Acc.counter: 0.6038, Acc.sand: 0.8742, Acc.sink: 0.8899, Acc.skyscraper: 0.5621, Acc.fireplace: 0.9601, Acc.refrigerator: 0.9375, Acc.grandstand: 0.8580, Acc.path: 0.4411, Acc.stairs: 0.4531, Acc.runway: 0.9544, Acc.case: 0.8889, Acc.pool table: 0.9800, Acc.pillow: 0.8152, Acc.screen door: 0.8836, Acc.stairway: 0.7445, Acc.river: 0.2915, Acc.bridge: 0.8286, Acc.bookcase: 0.6397, Acc.blind: 0.4804, Acc.coffee table: 0.8822, Acc.toilet: 0.9509, Acc.flower: 0.7310, Acc.book: 0.8325, Acc.hill: 0.1099, Acc.bench: 0.8209, Acc.countertop: 0.8754, Acc.stove: 0.9191, Acc.palm: 0.8223, Acc.kitchen island: 0.8231, Acc.computer: 0.8966, Acc.swivel chair: 0.7883, Acc.boat: 0.9120, Acc.bar: 0.7506, Acc.arcade machine: 0.8983, Acc.hovel: 0.2127, Acc.bus: 0.9715, Acc.towel: 0.8778, Acc.light: 0.7989, Acc.truck: 0.7475, Acc.tower: 0.4900, Acc.chandelier: 0.8809, Acc.awning: 0.5305, Acc.streetlight: 0.6931, Acc.booth: 0.7228, Acc.television receiver: 0.9103, Acc.airplane: 0.9727, Acc.dirt track: 0.3454, Acc.apparel: 0.8465, Acc.pole: 0.5090, Acc.land: 0.0211, Acc.bannister: 0.3662, Acc.escalator: 0.8478, Acc.ottoman: 0.7783, Acc.bottle: 0.8077, Acc.buffet: 0.6943, Acc.poster: 0.5370, Acc.stage: 0.4802, Acc.van: 0.7406, Acc.ship: 0.9026, Acc.fountain: 0.3403, Acc.conveyer belt: 0.9785, Acc.canopy: 0.9003, Acc.washer: 0.9307, Acc.plaything: 0.6483, Acc.swimming pool: 0.7388, Acc.stool: 0.7885, Acc.barrel: 0.9767, Acc.basket: 0.6997, Acc.waterfall: 0.8952, Acc.tent: 0.9824, Acc.bag: 0.3528, Acc.minibike: 0.9306, Acc.cradle: 0.9774, Acc.oven: 0.8307, Acc.ball: 0.4350, Acc.food: 0.7489, Acc.step: 0.1943, Acc.tank: 0.6637, Acc.trade name: 0.3571, Acc.microwave: 0.9413, Acc.pot: 0.8079, Acc.animal: 0.8108, Acc.bicycle: 0.8137, Acc.lake: 0.6867, Acc.dishwasher: 0.9123, Acc.screen: 0.9857, Acc.blanket: 0.4674, Acc.sculpture: 0.9117, Acc.hood: 0.8790, Acc.sconce: 0.7976, Acc.vase: 0.8162, Acc.traffic light: 0.7300, Acc.tray: 0.4664, Acc.ashcan: 0.7763, Acc.fan: 0.8751, Acc.pier: 0.4348, Acc.crt screen: 0.0680, Acc.plate: 0.8137, Acc.monitor: 0.1488, Acc.bulletin board: 0.5971, Acc.shower: 0.2850, Acc.radiator: 0.9221, Acc.glass: 0.3083, Acc.clock: 0.7068, Acc.flag: 0.8603