2022-04-30 15:41:05,509 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.5 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.20.2+ ------------------------------------------------------------ 2022-04-30 15:41:05,510 - mmseg - INFO - Distributed training: True 2022-04-30 15:41:06,309 - 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/beit_large_patch16_224_pt22k_ft22k.pth', backbone=dict( type='BEiTDenseAdaptor', patch_size=16, embed_dim=1024, depth=24, num_heads=16, mlp_ratio=4, qkv_bias=True, use_abs_pos_emb=False, use_rel_pos_bias=True, img_size=896, init_values=1e-06, drop_path_rate=0.3, conv_inplane=64, n_points=4, deform_num_heads=16, interact_with_ffn=True, interact_ffn_ratio=0.25, interact_deform_ratio=0.5, extract_with_ffn=True, extract_ffn_ratio=0.25, extract_deform_ratio=0.5, num_extract_block=2, add_vit_feature=True, interact_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]]), decode_head=dict( type='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)), 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), 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=(426, 426)), init_cfg=None) find_unused_parameters = True 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 = 'work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/iter_80000.pth' resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=2e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=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') work_dir = './work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query' gpu_ids = range(0, 16) auto_resume = False 2022-04-30 15:41:15,593 - mmseg - INFO - Set random seed to 1223201887, deterministic: False 2022-04-30 15:41:56,186 - 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.conv_branch.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.conv_branch.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.insert.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.insert.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.insert.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.2.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.insert.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interact_blocks.3.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.extract.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.extract_blocks.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.conv_seg.weight - torch.Size([150, 1024, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.conv_seg.bias - torch.Size([150]): 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 2022-04-30 15:42:26,974 - mmseg - INFO - EncoderDecoderMask2Former( (backbone): BEiTDenseAdaptor( (patch_embed): PatchEmbed( (proj): Conv2d(3, 1024, kernel_size=(16, 16), stride=(16, 16)) ) (pos_drop): Dropout(p=0.0, inplace=False) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.013043479062616825) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.02608695812523365) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.03913043811917305) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.0521739162504673) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.06521739810705185) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.0782608762383461) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.09130435436964035) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1043478325009346) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.11739131063222885) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1304347962141037) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.14347827434539795) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (12): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1565217524766922) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (13): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.16956523060798645) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (14): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1826087087392807) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (15): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.19565218687057495) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (16): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2086956650018692) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (17): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.22173914313316345) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (18): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2347826212644577) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (19): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.24782609939575195) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (20): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.260869562625885) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (21): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.27391305565834045) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (22): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.2869565188884735) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (23): Block( (norm1): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=1024, out_features=3072, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.30000001192092896) (norm2): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=1024, out_features=4096, bias=True) (act): GELU() (fc2): Linear(in_features=4096, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (conv_branch): ConvBranch( (stem): Sequential( (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (8): ReLU(inplace=True) (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) ) (conv2): Sequential( (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv3): Sequential( (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv4): Sequential( (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (fc1): Conv2d(64, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc2): Conv2d(128, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc4): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (interact_blocks): Sequential( (0): InteractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (insert): InsertLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (1): InteractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (insert): InsertLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (2): InteractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (insert): InsertLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (3): InteractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (insert): InsertLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (extract_blocks): Sequential( (0): ExtractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): Identity() ) (1): ExtractBlock( (extract): ExtractLayer( (query_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-06, elementwise_affine=True) (drop_path): Identity() ) ) (up): ConvTranspose2d(1024, 1024, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm2): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm4): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (decode_head): Mask2FormerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss() (conv_seg): Conv2d(1024, 150, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (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() ) ) 2022-04-30 15:42:27,349 - mmseg - INFO - Loaded 20210 images 2022-04-30 15:42:29,257 - mmseg - INFO - Loaded 2000 images 2022-04-30 15:42:29,258 - mmseg - INFO - load checkpoint from local path: work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/iter_80000.pth 2022-04-30 15:43:28,191 - mmseg - WARNING - The model and loaded state dict do not match exactly size mismatch for decode_head.conv_seg.weight: copying a param with shape torch.Size([171, 1024, 1, 1]) from checkpoint, the shape in current model is torch.Size([150, 1024, 1, 1]). size mismatch for decode_head.conv_seg.bias: copying a param with shape torch.Size([171]) from checkpoint, the shape in current model is torch.Size([150]). size mismatch for decode_head.cls_embed.weight: copying a param with shape torch.Size([172, 1024]) from checkpoint, the shape in current model is torch.Size([151, 1024]). size mismatch for decode_head.cls_embed.bias: copying a param with shape torch.Size([172]) from checkpoint, the shape in current model is torch.Size([151]). 2022-04-30 15:43:28,280 - mmseg - INFO - Start running, host: chenzhe.vendor@SH-IDC1-10-140-1-136, work_dir: /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query 2022-04-30 15:43:28,281 - 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 -------------------- 2022-04-30 15:43:28,284 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters 2022-04-30 15:43:28,285 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query by HardDiskBackend. 2022-04-30 15:47:14,789 - mmseg - INFO - Iter [50/80000] lr: 4.688e-08, eta: 2 days, 6:26:23, time: 2.451, data_time: 0.031, memory: 64716, decode.loss_cls: 9.4018, decode.loss_mask: 0.7516, decode.loss_dice: 1.0515, decode.d0.loss_cls: 10.2567, decode.d0.loss_mask: 0.8296, decode.d0.loss_dice: 1.3131, decode.d1.loss_cls: 9.5627, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.1485, decode.d2.loss_cls: 9.3576, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.0953, decode.d3.loss_cls: 9.3571, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.0702, decode.d4.loss_cls: 9.3561, decode.d4.loss_mask: 0.7552, decode.d4.loss_dice: 1.0671, decode.d5.loss_cls: 9.1202, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.0604, decode.d6.loss_cls: 9.2980, decode.d6.loss_mask: 0.7486, decode.d6.loss_dice: 1.0522, decode.d7.loss_cls: 9.2839, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.0542, decode.d8.loss_cls: 9.4863, decode.d8.loss_mask: 0.7503, decode.d8.loss_dice: 1.0498, loss: 113.0833 2022-04-30 15:48:47,992 - mmseg - INFO - Iter [100/80000] lr: 9.465e-08, eta: 1 day, 23:54:08, time: 1.865, data_time: 0.013, memory: 64716, decode.loss_cls: 5.7273, decode.loss_mask: 0.7660, decode.loss_dice: 1.0123, decode.d0.loss_cls: 10.2443, decode.d0.loss_mask: 0.8320, decode.d0.loss_dice: 1.3293, decode.d1.loss_cls: 7.3158, decode.d1.loss_mask: 0.7955, decode.d1.loss_dice: 1.1223, decode.d2.loss_cls: 6.4035, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.0603, decode.d3.loss_cls: 6.0317, decode.d3.loss_mask: 0.7609, decode.d3.loss_dice: 1.0397, decode.d4.loss_cls: 5.9100, decode.d4.loss_mask: 0.7674, decode.d4.loss_dice: 1.0306, decode.d5.loss_cls: 5.6919, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.0228, decode.d6.loss_cls: 5.8041, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.0177, decode.d7.loss_cls: 5.6891, decode.d7.loss_mask: 0.7596, decode.d7.loss_dice: 1.0190, decode.d8.loss_cls: 5.7847, decode.d8.loss_mask: 0.7634, decode.d8.loss_dice: 1.0094, loss: 82.9998 2022-04-30 15:50:21,517 - mmseg - INFO - Iter [150/80000] lr: 1.424e-07, eta: 1 day, 21:44:22, time: 1.870, data_time: 0.013, memory: 64716, decode.loss_cls: 3.4333, decode.loss_mask: 0.6969, decode.loss_dice: 1.0034, decode.d0.loss_cls: 10.2114, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.3282, decode.d1.loss_cls: 4.2622, decode.d1.loss_mask: 0.7428, decode.d1.loss_dice: 1.1181, decode.d2.loss_cls: 3.6095, decode.d2.loss_mask: 0.7161, decode.d2.loss_dice: 1.0587, decode.d3.loss_cls: 3.4702, decode.d3.loss_mask: 0.6980, decode.d3.loss_dice: 1.0440, decode.d4.loss_cls: 3.4567, decode.d4.loss_mask: 0.7012, decode.d4.loss_dice: 1.0226, decode.d5.loss_cls: 3.4247, decode.d5.loss_mask: 0.7040, decode.d5.loss_dice: 1.0172, decode.d6.loss_cls: 3.4543, decode.d6.loss_mask: 0.6899, decode.d6.loss_dice: 1.0080, decode.d7.loss_cls: 3.4202, decode.d7.loss_mask: 0.6943, decode.d7.loss_dice: 1.0155, decode.d8.loss_cls: 3.4281, decode.d8.loss_mask: 0.7015, decode.d8.loss_dice: 0.9981, loss: 59.9001 2022-04-30 15:51:56,370 - mmseg - INFO - Iter [200/80000] lr: 1.900e-07, eta: 1 day, 20:47:45, time: 1.897, data_time: 0.014, memory: 64716, decode.loss_cls: 3.0881, decode.loss_mask: 0.6811, decode.loss_dice: 0.9397, decode.d0.loss_cls: 10.2014, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.2627, decode.d1.loss_cls: 3.3908, decode.d1.loss_mask: 0.7354, decode.d1.loss_dice: 1.0652, decode.d2.loss_cls: 3.2295, decode.d2.loss_mask: 0.7101, decode.d2.loss_dice: 1.0069, decode.d3.loss_cls: 3.1306, decode.d3.loss_mask: 0.6890, decode.d3.loss_dice: 0.9818, decode.d4.loss_cls: 3.1146, decode.d4.loss_mask: 0.6902, decode.d4.loss_dice: 0.9589, decode.d5.loss_cls: 3.0747, decode.d5.loss_mask: 0.6895, decode.d5.loss_dice: 0.9504, decode.d6.loss_cls: 3.1025, decode.d6.loss_mask: 0.6794, decode.d6.loss_dice: 0.9526, decode.d7.loss_cls: 3.0567, decode.d7.loss_mask: 0.6786, decode.d7.loss_dice: 0.9576, decode.d8.loss_cls: 3.0691, decode.d8.loss_mask: 0.6830, decode.d8.loss_dice: 0.9336, loss: 55.4905 2022-04-30 15:53:30,633 - mmseg - INFO - Iter [250/80000] lr: 2.376e-07, eta: 1 day, 20:10:08, time: 1.886, data_time: 0.014, memory: 64716, decode.loss_cls: 2.7966, decode.loss_mask: 0.6640, decode.loss_dice: 0.9278, decode.d0.loss_cls: 10.1687, decode.d0.loss_mask: 0.7402, decode.d0.loss_dice: 1.2502, decode.d1.loss_cls: 3.1874, decode.d1.loss_mask: 0.7006, decode.d1.loss_dice: 1.0597, decode.d2.loss_cls: 3.0095, decode.d2.loss_mask: 0.6766, decode.d2.loss_dice: 0.9942, decode.d3.loss_cls: 2.8932, decode.d3.loss_mask: 0.6607, decode.d3.loss_dice: 0.9694, decode.d4.loss_cls: 2.8522, decode.d4.loss_mask: 0.6621, decode.d4.loss_dice: 0.9499, decode.d5.loss_cls: 2.7954, decode.d5.loss_mask: 0.6664, decode.d5.loss_dice: 0.9534, decode.d6.loss_cls: 2.8102, decode.d6.loss_mask: 0.6568, decode.d6.loss_dice: 0.9459, decode.d7.loss_cls: 2.7678, decode.d7.loss_mask: 0.6631, decode.d7.loss_dice: 0.9414, decode.d8.loss_cls: 2.7636, decode.d8.loss_mask: 0.6677, decode.d8.loss_dice: 0.9278, loss: 52.7225 2022-04-30 15:55:04,690 - mmseg - INFO - Iter [300/80000] lr: 2.851e-07, eta: 1 day, 19:43:18, time: 1.880, data_time: 0.014, memory: 64716, decode.loss_cls: 2.5957, decode.loss_mask: 0.6581, decode.loss_dice: 0.9235, decode.d0.loss_cls: 10.1435, decode.d0.loss_mask: 0.7450, decode.d0.loss_dice: 1.2412, decode.d1.loss_cls: 3.0788, decode.d1.loss_mask: 0.6911, decode.d1.loss_dice: 1.0622, decode.d2.loss_cls: 2.8423, decode.d2.loss_mask: 0.6721, decode.d2.loss_dice: 0.9908, decode.d3.loss_cls: 2.7054, decode.d3.loss_mask: 0.6586, decode.d3.loss_dice: 0.9550, decode.d4.loss_cls: 2.6634, decode.d4.loss_mask: 0.6726, decode.d4.loss_dice: 0.9459, decode.d5.loss_cls: 2.6014, decode.d5.loss_mask: 0.6697, decode.d5.loss_dice: 0.9362, decode.d6.loss_cls: 2.6031, decode.d6.loss_mask: 0.6468, decode.d6.loss_dice: 0.9328, decode.d7.loss_cls: 2.5628, decode.d7.loss_mask: 0.6556, decode.d7.loss_dice: 0.9292, decode.d8.loss_cls: 2.5670, decode.d8.loss_mask: 0.6562, decode.d8.loss_dice: 0.9126, loss: 50.9188 2022-04-30 15:56:37,418 - mmseg - INFO - Iter [350/80000] lr: 3.326e-07, eta: 1 day, 19:18:53, time: 1.855, data_time: 0.017, memory: 64716, decode.loss_cls: 2.2976, decode.loss_mask: 0.6610, decode.loss_dice: 0.8993, decode.d0.loss_cls: 10.1045, decode.d0.loss_mask: 0.7263, decode.d0.loss_dice: 1.2210, decode.d1.loss_cls: 2.8174, decode.d1.loss_mask: 0.6747, decode.d1.loss_dice: 1.0368, decode.d2.loss_cls: 2.5577, decode.d2.loss_mask: 0.6608, decode.d2.loss_dice: 0.9582, decode.d3.loss_cls: 2.4221, decode.d3.loss_mask: 0.6548, decode.d3.loss_dice: 0.9296, decode.d4.loss_cls: 2.3802, decode.d4.loss_mask: 0.6693, decode.d4.loss_dice: 0.9192, decode.d5.loss_cls: 2.2987, decode.d5.loss_mask: 0.6714, decode.d5.loss_dice: 0.9183, decode.d6.loss_cls: 2.2915, decode.d6.loss_mask: 0.6553, decode.d6.loss_dice: 0.9045, decode.d7.loss_cls: 2.2714, decode.d7.loss_mask: 0.6579, decode.d7.loss_dice: 0.9065, decode.d8.loss_cls: 2.2689, decode.d8.loss_mask: 0.6611, decode.d8.loss_dice: 0.9019, loss: 47.9978 2022-04-30 15:58:10,979 - mmseg - INFO - Iter [400/80000] lr: 3.800e-07, eta: 1 day, 19:03:01, time: 1.872, data_time: 0.013, memory: 64716, decode.loss_cls: 2.0864, decode.loss_mask: 0.6816, decode.loss_dice: 0.9590, decode.d0.loss_cls: 10.0688, decode.d0.loss_mask: 0.7331, decode.d0.loss_dice: 1.2515, decode.d1.loss_cls: 2.6421, decode.d1.loss_mask: 0.6901, decode.d1.loss_dice: 1.0748, decode.d2.loss_cls: 2.3507, decode.d2.loss_mask: 0.6855, decode.d2.loss_dice: 0.9972, decode.d3.loss_cls: 2.2134, decode.d3.loss_mask: 0.6765, decode.d3.loss_dice: 0.9773, decode.d4.loss_cls: 2.1718, decode.d4.loss_mask: 0.6863, decode.d4.loss_dice: 0.9727, decode.d5.loss_cls: 2.0921, decode.d5.loss_mask: 0.6861, decode.d5.loss_dice: 0.9672, decode.d6.loss_cls: 2.0763, decode.d6.loss_mask: 0.6751, decode.d6.loss_dice: 0.9614, decode.d7.loss_cls: 2.0526, decode.d7.loss_mask: 0.6817, decode.d7.loss_dice: 0.9601, decode.d8.loss_cls: 2.0569, decode.d8.loss_mask: 0.6829, decode.d8.loss_dice: 0.9527, loss: 46.7638 2022-04-30 15:59:44,493 - mmseg - INFO - Iter [450/80000] lr: 4.274e-07, eta: 1 day, 18:50:04, time: 1.870, data_time: 0.014, memory: 64716, decode.loss_cls: 1.8133, decode.loss_mask: 0.6917, decode.loss_dice: 0.9549, decode.d0.loss_cls: 10.0119, decode.d0.loss_mask: 0.7383, decode.d0.loss_dice: 1.2258, decode.d1.loss_cls: 2.3552, decode.d1.loss_mask: 0.6990, decode.d1.loss_dice: 1.0494, decode.d2.loss_cls: 2.0680, decode.d2.loss_mask: 0.6925, decode.d2.loss_dice: 0.9938, decode.d3.loss_cls: 1.9389, decode.d3.loss_mask: 0.6897, decode.d3.loss_dice: 0.9814, decode.d4.loss_cls: 1.9010, decode.d4.loss_mask: 0.6958, decode.d4.loss_dice: 0.9748, decode.d5.loss_cls: 1.8254, decode.d5.loss_mask: 0.6910, decode.d5.loss_dice: 0.9794, decode.d6.loss_cls: 1.8119, decode.d6.loss_mask: 0.6885, decode.d6.loss_dice: 0.9658, decode.d7.loss_cls: 1.7999, decode.d7.loss_mask: 0.6910, decode.d7.loss_dice: 0.9625, decode.d8.loss_cls: 1.7968, decode.d8.loss_mask: 0.6887, decode.d8.loss_dice: 0.9518, loss: 44.3280 2022-04-30 16:01:17,494 - mmseg - INFO - Iter [500/80000] lr: 4.747e-07, eta: 1 day, 18:37:58, time: 1.859, data_time: 0.014, memory: 64716, decode.loss_cls: 1.6935, decode.loss_mask: 0.6960, decode.loss_dice: 0.9733, decode.d0.loss_cls: 9.9571, decode.d0.loss_mask: 0.7290, decode.d0.loss_dice: 1.2254, decode.d1.loss_cls: 2.2366, decode.d1.loss_mask: 0.7051, decode.d1.loss_dice: 1.0683, decode.d2.loss_cls: 1.9385, decode.d2.loss_mask: 0.6927, decode.d2.loss_dice: 1.0106, decode.d3.loss_cls: 1.8249, decode.d3.loss_mask: 0.6957, decode.d3.loss_dice: 0.9988, decode.d4.loss_cls: 1.7812, decode.d4.loss_mask: 0.6994, decode.d4.loss_dice: 0.9818, decode.d5.loss_cls: 1.7095, decode.d5.loss_mask: 0.7005, decode.d5.loss_dice: 0.9830, decode.d6.loss_cls: 1.6979, decode.d6.loss_mask: 0.6944, decode.d6.loss_dice: 0.9757, decode.d7.loss_cls: 1.6775, decode.d7.loss_mask: 0.7005, decode.d7.loss_dice: 0.9770, decode.d8.loss_cls: 1.6778, decode.d8.loss_mask: 0.6959, decode.d8.loss_dice: 0.9697, loss: 43.3673 2022-04-30 16:02:50,489 - mmseg - INFO - Iter [550/80000] lr: 5.219e-07, eta: 1 day, 18:27:52, time: 1.860, data_time: 0.014, memory: 64716, decode.loss_cls: 1.5978, decode.loss_mask: 0.6734, decode.loss_dice: 0.9572, decode.d0.loss_cls: 9.8950, decode.d0.loss_mask: 0.7091, decode.d0.loss_dice: 1.2054, decode.d1.loss_cls: 2.0958, decode.d1.loss_mask: 0.6959, decode.d1.loss_dice: 1.0431, decode.d2.loss_cls: 1.8163, decode.d2.loss_mask: 0.6823, decode.d2.loss_dice: 0.9918, decode.d3.loss_cls: 1.7249, decode.d3.loss_mask: 0.6736, decode.d3.loss_dice: 0.9717, decode.d4.loss_cls: 1.6892, decode.d4.loss_mask: 0.6810, decode.d4.loss_dice: 0.9675, decode.d5.loss_cls: 1.6178, decode.d5.loss_mask: 0.6766, decode.d5.loss_dice: 0.9738, decode.d6.loss_cls: 1.5978, decode.d6.loss_mask: 0.6722, decode.d6.loss_dice: 0.9579, decode.d7.loss_cls: 1.5869, decode.d7.loss_mask: 0.6733, decode.d7.loss_dice: 0.9677, decode.d8.loss_cls: 1.5881, decode.d8.loss_mask: 0.6712, decode.d8.loss_dice: 0.9566, loss: 42.0109 2022-04-30 16:04:23,121 - mmseg - INFO - Iter [600/80000] lr: 5.691e-07, eta: 1 day, 18:18:20, time: 1.852, data_time: 0.015, memory: 64716, decode.loss_cls: 1.5342, decode.loss_mask: 0.6836, decode.loss_dice: 0.9754, decode.d0.loss_cls: 9.8276, decode.d0.loss_mask: 0.7051, decode.d0.loss_dice: 1.2234, decode.d1.loss_cls: 2.0550, decode.d1.loss_mask: 0.7051, decode.d1.loss_dice: 1.0722, decode.d2.loss_cls: 1.7789, decode.d2.loss_mask: 0.6912, decode.d2.loss_dice: 1.0148, decode.d3.loss_cls: 1.6791, decode.d3.loss_mask: 0.6843, decode.d3.loss_dice: 0.9913, decode.d4.loss_cls: 1.6358, decode.d4.loss_mask: 0.6851, decode.d4.loss_dice: 0.9836, decode.d5.loss_cls: 1.5662, decode.d5.loss_mask: 0.6861, decode.d5.loss_dice: 0.9855, decode.d6.loss_cls: 1.5392, decode.d6.loss_mask: 0.6820, decode.d6.loss_dice: 0.9701, decode.d7.loss_cls: 1.5248, decode.d7.loss_mask: 0.6866, decode.d7.loss_dice: 0.9802, decode.d8.loss_cls: 1.5273, decode.d8.loss_mask: 0.6880, decode.d8.loss_dice: 0.9788, loss: 41.7404 2022-04-30 16:05:55,683 - mmseg - INFO - Iter [650/80000] lr: 6.162e-07, eta: 1 day, 18:09:59, time: 1.852, data_time: 0.015, memory: 64716, decode.loss_cls: 1.4262, decode.loss_mask: 0.7099, decode.loss_dice: 0.9970, decode.d0.loss_cls: 9.7444, decode.d0.loss_mask: 0.7140, decode.d0.loss_dice: 1.2147, decode.d1.loss_cls: 1.9131, decode.d1.loss_mask: 0.7274, decode.d1.loss_dice: 1.0884, decode.d2.loss_cls: 1.6524, decode.d2.loss_mask: 0.7158, decode.d2.loss_dice: 1.0282, decode.d3.loss_cls: 1.5635, decode.d3.loss_mask: 0.7078, decode.d3.loss_dice: 1.0101, decode.d4.loss_cls: 1.5266, decode.d4.loss_mask: 0.7109, decode.d4.loss_dice: 1.0010, decode.d5.loss_cls: 1.4604, decode.d5.loss_mask: 0.7110, decode.d5.loss_dice: 1.0052, decode.d6.loss_cls: 1.4329, decode.d6.loss_mask: 0.7081, decode.d6.loss_dice: 0.9946, decode.d7.loss_cls: 1.4197, decode.d7.loss_mask: 0.7128, decode.d7.loss_dice: 1.0005, decode.d8.loss_cls: 1.4171, decode.d8.loss_mask: 0.7104, decode.d8.loss_dice: 0.9977, loss: 41.0218 2022-04-30 16:07:29,603 - mmseg - INFO - Iter [700/80000] lr: 6.632e-07, eta: 1 day, 18:05:07, time: 1.878, data_time: 0.014, memory: 64716, decode.loss_cls: 1.2888, decode.loss_mask: 0.6945, decode.loss_dice: 0.9509, decode.d0.loss_cls: 9.6495, decode.d0.loss_mask: 0.6993, decode.d0.loss_dice: 1.1712, decode.d1.loss_cls: 1.7349, decode.d1.loss_mask: 0.7093, decode.d1.loss_dice: 1.0371, decode.d2.loss_cls: 1.5059, decode.d2.loss_mask: 0.6902, decode.d2.loss_dice: 0.9921, decode.d3.loss_cls: 1.4240, decode.d3.loss_mask: 0.6853, decode.d3.loss_dice: 0.9655, decode.d4.loss_cls: 1.3902, decode.d4.loss_mask: 0.6848, decode.d4.loss_dice: 0.9643, decode.d5.loss_cls: 1.3257, decode.d5.loss_mask: 0.6916, decode.d5.loss_dice: 0.9716, decode.d6.loss_cls: 1.2945, decode.d6.loss_mask: 0.6922, decode.d6.loss_dice: 0.9596, decode.d7.loss_cls: 1.2809, decode.d7.loss_mask: 0.6894, decode.d7.loss_dice: 0.9698, decode.d8.loss_cls: 1.2814, decode.d8.loss_mask: 0.6890, decode.d8.loss_dice: 0.9559, loss: 39.0393 2022-04-30 16:09:03,464 - mmseg - INFO - Iter [750/80000] lr: 7.102e-07, eta: 1 day, 18:00:35, time: 1.877, data_time: 0.014, memory: 64716, decode.loss_cls: 1.2526, decode.loss_mask: 0.6975, decode.loss_dice: 0.9859, decode.d0.loss_cls: 9.5539, decode.d0.loss_mask: 0.7103, decode.d0.loss_dice: 1.1849, decode.d1.loss_cls: 1.6902, decode.d1.loss_mask: 0.7173, decode.d1.loss_dice: 1.0502, decode.d2.loss_cls: 1.4648, decode.d2.loss_mask: 0.7042, decode.d2.loss_dice: 1.0104, decode.d3.loss_cls: 1.3866, decode.d3.loss_mask: 0.6977, decode.d3.loss_dice: 0.9921, decode.d4.loss_cls: 1.3519, decode.d4.loss_mask: 0.6953, decode.d4.loss_dice: 0.9839, decode.d5.loss_cls: 1.3007, decode.d5.loss_mask: 0.6971, decode.d5.loss_dice: 0.9894, decode.d6.loss_cls: 1.2753, decode.d6.loss_mask: 0.6944, decode.d6.loss_dice: 0.9776, decode.d7.loss_cls: 1.2505, decode.d7.loss_mask: 0.6959, decode.d7.loss_dice: 0.9871, decode.d8.loss_cls: 1.2465, decode.d8.loss_mask: 0.6969, decode.d8.loss_dice: 0.9826, loss: 38.9238 2022-04-30 16:10:38,006 - mmseg - INFO - Iter [800/80000] lr: 7.572e-07, eta: 1 day, 17:57:37, time: 1.892, data_time: 0.014, memory: 64716, decode.loss_cls: 1.2126, decode.loss_mask: 0.6854, decode.loss_dice: 0.9663, decode.d0.loss_cls: 9.4521, decode.d0.loss_mask: 0.6894, decode.d0.loss_dice: 1.1690, decode.d1.loss_cls: 1.6333, decode.d1.loss_mask: 0.7014, decode.d1.loss_dice: 1.0441, decode.d2.loss_cls: 1.4253, decode.d2.loss_mask: 0.6913, decode.d2.loss_dice: 0.9992, decode.d3.loss_cls: 1.3477, decode.d3.loss_mask: 0.6876, decode.d3.loss_dice: 0.9739, decode.d4.loss_cls: 1.3019, decode.d4.loss_mask: 0.6868, decode.d4.loss_dice: 0.9653, decode.d5.loss_cls: 1.2582, decode.d5.loss_mask: 0.6820, decode.d5.loss_dice: 0.9782, decode.d6.loss_cls: 1.2288, decode.d6.loss_mask: 0.6844, decode.d6.loss_dice: 0.9621, decode.d7.loss_cls: 1.2175, decode.d7.loss_mask: 0.6859, decode.d7.loss_dice: 0.9749, decode.d8.loss_cls: 1.2094, decode.d8.loss_mask: 0.6889, decode.d8.loss_dice: 0.9719, loss: 38.1749 2022-04-30 16:12:10,803 - mmseg - INFO - Iter [850/80000] lr: 8.040e-07, eta: 1 day, 17:52:01, time: 1.856, data_time: 0.014, memory: 64716, decode.loss_cls: 1.1556, decode.loss_mask: 0.7111, decode.loss_dice: 0.9679, decode.d0.loss_cls: 9.3469, decode.d0.loss_mask: 0.7109, decode.d0.loss_dice: 1.1700, decode.d1.loss_cls: 1.5367, decode.d1.loss_mask: 0.7309, decode.d1.loss_dice: 1.0604, decode.d2.loss_cls: 1.3449, decode.d2.loss_mask: 0.7077, decode.d2.loss_dice: 1.0050, decode.d3.loss_cls: 1.2733, decode.d3.loss_mask: 0.7012, decode.d3.loss_dice: 0.9781, decode.d4.loss_cls: 1.2360, decode.d4.loss_mask: 0.7042, decode.d4.loss_dice: 0.9784, decode.d5.loss_cls: 1.1897, decode.d5.loss_mask: 0.7055, decode.d5.loss_dice: 0.9839, decode.d6.loss_cls: 1.1742, decode.d6.loss_mask: 0.7003, decode.d6.loss_dice: 0.9675, decode.d7.loss_cls: 1.1581, decode.d7.loss_mask: 0.7052, decode.d7.loss_dice: 0.9739, decode.d8.loss_cls: 1.1535, decode.d8.loss_mask: 0.7048, decode.d8.loss_dice: 0.9729, loss: 37.7082 2022-04-30 16:13:45,455 - mmseg - INFO - Iter [900/80000] lr: 8.509e-07, eta: 1 day, 17:49:32, time: 1.892, data_time: 0.015, memory: 64716, decode.loss_cls: 1.1646, decode.loss_mask: 0.7084, decode.loss_dice: 1.0085, decode.d0.loss_cls: 9.2279, decode.d0.loss_mask: 0.7146, decode.d0.loss_dice: 1.1999, decode.d1.loss_cls: 1.5614, decode.d1.loss_mask: 0.7222, decode.d1.loss_dice: 1.0819, decode.d2.loss_cls: 1.3755, decode.d2.loss_mask: 0.7103, decode.d2.loss_dice: 1.0445, decode.d3.loss_cls: 1.3036, decode.d3.loss_mask: 0.7076, decode.d3.loss_dice: 1.0138, decode.d4.loss_cls: 1.2490, decode.d4.loss_mask: 0.7114, decode.d4.loss_dice: 1.0216, decode.d5.loss_cls: 1.2054, decode.d5.loss_mask: 0.7090, decode.d5.loss_dice: 1.0200, decode.d6.loss_cls: 1.1831, decode.d6.loss_mask: 0.7074, decode.d6.loss_dice: 1.0058, decode.d7.loss_cls: 1.1630, decode.d7.loss_mask: 0.7094, decode.d7.loss_dice: 1.0105, decode.d8.loss_cls: 1.1640, decode.d8.loss_mask: 0.7089, decode.d8.loss_dice: 1.0185, loss: 38.1318 2022-04-30 16:15:19,472 - mmseg - INFO - Iter [950/80000] lr: 8.976e-07, eta: 1 day, 17:46:25, time: 1.881, data_time: 0.016, memory: 64716, decode.loss_cls: 1.0825, decode.loss_mask: 0.7026, decode.loss_dice: 0.9848, decode.d0.loss_cls: 9.1002, decode.d0.loss_mask: 0.6950, decode.d0.loss_dice: 1.1766, decode.d1.loss_cls: 1.4676, decode.d1.loss_mask: 0.7246, decode.d1.loss_dice: 1.0612, decode.d2.loss_cls: 1.2799, decode.d2.loss_mask: 0.7032, decode.d2.loss_dice: 1.0134, decode.d3.loss_cls: 1.2020, decode.d3.loss_mask: 0.7023, decode.d3.loss_dice: 1.0042, decode.d4.loss_cls: 1.1671, decode.d4.loss_mask: 0.6986, decode.d4.loss_dice: 1.0024, decode.d5.loss_cls: 1.1182, decode.d5.loss_mask: 0.7055, decode.d5.loss_dice: 0.9960, decode.d6.loss_cls: 1.0966, decode.d6.loss_mask: 0.7055, decode.d6.loss_dice: 0.9875, decode.d7.loss_cls: 1.0820, decode.d7.loss_mask: 0.7036, decode.d7.loss_dice: 0.9933, decode.d8.loss_cls: 1.0752, decode.d8.loss_mask: 0.7046, decode.d8.loss_dice: 0.9921, loss: 36.9283 2022-04-30 16:16:53,469 - mmseg - INFO - Saving checkpoint at 1000 iterations 2022-04-30 16:17:12,284 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 16:17:12,287 - mmseg - INFO - Iter [1000/80000] lr: 9.443e-07, eta: 1 day, 18:08:00, time: 2.254, data_time: 0.014, memory: 64716, decode.loss_cls: 1.0496, decode.loss_mask: 0.7015, decode.loss_dice: 0.9909, decode.d0.loss_cls: 8.9427, decode.d0.loss_mask: 0.7020, decode.d0.loss_dice: 1.1642, decode.d1.loss_cls: 1.4015, decode.d1.loss_mask: 0.7338, decode.d1.loss_dice: 1.0779, decode.d2.loss_cls: 1.2382, decode.d2.loss_mask: 0.7070, decode.d2.loss_dice: 1.0173, decode.d3.loss_cls: 1.1552, decode.d3.loss_mask: 0.7043, decode.d3.loss_dice: 1.0007, decode.d4.loss_cls: 1.1173, decode.d4.loss_mask: 0.7068, decode.d4.loss_dice: 1.0002, decode.d5.loss_cls: 1.0792, decode.d5.loss_mask: 0.7061, decode.d5.loss_dice: 0.9982, decode.d6.loss_cls: 1.0635, decode.d6.loss_mask: 0.7003, decode.d6.loss_dice: 0.9879, decode.d7.loss_cls: 1.0474, decode.d7.loss_mask: 0.7065, decode.d7.loss_dice: 1.0005, decode.d8.loss_cls: 1.0465, decode.d8.loss_mask: 0.7034, decode.d8.loss_dice: 0.9928, loss: 36.4435 2022-04-30 16:18:48,726 - mmseg - INFO - Iter [1050/80000] lr: 9.909e-07, eta: 1 day, 18:07:00, time: 1.929, data_time: 0.017, memory: 64716, decode.loss_cls: 1.0170, decode.loss_mask: 0.7096, decode.loss_dice: 0.9706, decode.d0.loss_cls: 8.7797, decode.d0.loss_mask: 0.7057, decode.d0.loss_dice: 1.1488, decode.d1.loss_cls: 1.3593, decode.d1.loss_mask: 0.7393, decode.d1.loss_dice: 1.0590, decode.d2.loss_cls: 1.1934, decode.d2.loss_mask: 0.7150, decode.d2.loss_dice: 1.0045, decode.d3.loss_cls: 1.1259, decode.d3.loss_mask: 0.7135, decode.d3.loss_dice: 0.9810, decode.d4.loss_cls: 1.0921, decode.d4.loss_mask: 0.7060, decode.d4.loss_dice: 0.9803, decode.d5.loss_cls: 1.0503, decode.d5.loss_mask: 0.7093, decode.d5.loss_dice: 0.9884, decode.d6.loss_cls: 1.0273, decode.d6.loss_mask: 0.7130, decode.d6.loss_dice: 0.9792, decode.d7.loss_cls: 1.0201, decode.d7.loss_mask: 0.7104, decode.d7.loss_dice: 0.9804, decode.d8.loss_cls: 1.0179, decode.d8.loss_mask: 0.7094, decode.d8.loss_dice: 0.9793, loss: 35.8856 2022-04-30 16:20:23,033 - mmseg - INFO - Iter [1100/80000] lr: 1.038e-06, eta: 1 day, 18:03:20, time: 1.886, data_time: 0.015, memory: 64716, decode.loss_cls: 0.9930, decode.loss_mask: 0.7012, decode.loss_dice: 0.9906, decode.d0.loss_cls: 8.6183, decode.d0.loss_mask: 0.7065, decode.d0.loss_dice: 1.1737, decode.d1.loss_cls: 1.3457, decode.d1.loss_mask: 0.7337, decode.d1.loss_dice: 1.0713, decode.d2.loss_cls: 1.1798, decode.d2.loss_mask: 0.7068, decode.d2.loss_dice: 1.0213, decode.d3.loss_cls: 1.1118, decode.d3.loss_mask: 0.7004, decode.d3.loss_dice: 0.9906, decode.d4.loss_cls: 1.0692, decode.d4.loss_mask: 0.7044, decode.d4.loss_dice: 1.0015, decode.d5.loss_cls: 1.0312, decode.d5.loss_mask: 0.7025, decode.d5.loss_dice: 0.9934, decode.d6.loss_cls: 1.0148, decode.d6.loss_mask: 0.7024, decode.d6.loss_dice: 0.9942, decode.d7.loss_cls: 1.0015, decode.d7.loss_mask: 0.7032, decode.d7.loss_dice: 0.9905, decode.d8.loss_cls: 0.9930, decode.d8.loss_mask: 0.7052, decode.d8.loss_dice: 0.9944, loss: 35.6459 2022-04-30 16:21:56,228 - mmseg - INFO - Iter [1150/80000] lr: 1.084e-06, eta: 1 day, 17:58:40, time: 1.865, data_time: 0.016, memory: 64716, decode.loss_cls: 0.9504, decode.loss_mask: 0.7167, decode.loss_dice: 0.9902, decode.d0.loss_cls: 8.4503, decode.d0.loss_mask: 0.7023, decode.d0.loss_dice: 1.1641, decode.d1.loss_cls: 1.3003, decode.d1.loss_mask: 0.7426, decode.d1.loss_dice: 1.0771, decode.d2.loss_cls: 1.1274, decode.d2.loss_mask: 0.7114, decode.d2.loss_dice: 1.0200, decode.d3.loss_cls: 1.0573, decode.d3.loss_mask: 0.7117, decode.d3.loss_dice: 1.0047, decode.d4.loss_cls: 1.0175, decode.d4.loss_mask: 0.7148, decode.d4.loss_dice: 0.9981, decode.d5.loss_cls: 0.9798, decode.d5.loss_mask: 0.7201, decode.d5.loss_dice: 1.0017, decode.d6.loss_cls: 0.9602, decode.d6.loss_mask: 0.7202, decode.d6.loss_dice: 0.9955, decode.d7.loss_cls: 0.9514, decode.d7.loss_mask: 0.7189, decode.d7.loss_dice: 1.0005, decode.d8.loss_cls: 0.9456, decode.d8.loss_mask: 0.7208, decode.d8.loss_dice: 0.9991, loss: 35.1710 2022-04-30 16:23:29,054 - mmseg - INFO - Iter [1200/80000] lr: 1.130e-06, eta: 1 day, 17:53:43, time: 1.855, data_time: 0.013, memory: 64716, decode.loss_cls: 0.9841, decode.loss_mask: 0.7124, decode.loss_dice: 0.9954, decode.d0.loss_cls: 8.2652, decode.d0.loss_mask: 0.6896, decode.d0.loss_dice: 1.1628, decode.d1.loss_cls: 1.3136, decode.d1.loss_mask: 0.7336, decode.d1.loss_dice: 1.0773, decode.d2.loss_cls: 1.1557, decode.d2.loss_mask: 0.7131, decode.d2.loss_dice: 1.0194, decode.d3.loss_cls: 1.0839, decode.d3.loss_mask: 0.7079, decode.d3.loss_dice: 1.0030, decode.d4.loss_cls: 1.0409, decode.d4.loss_mask: 0.7117, decode.d4.loss_dice: 1.0047, decode.d5.loss_cls: 1.0041, decode.d5.loss_mask: 0.7184, decode.d5.loss_dice: 1.0041, decode.d6.loss_cls: 0.9933, decode.d6.loss_mask: 0.7103, decode.d6.loss_dice: 0.9875, decode.d7.loss_cls: 0.9793, decode.d7.loss_mask: 0.7104, decode.d7.loss_dice: 1.0042, decode.d8.loss_cls: 0.9754, decode.d8.loss_mask: 0.7078, decode.d8.loss_dice: 0.9947, loss: 35.1637 2022-04-30 16:25:01,859 - mmseg - INFO - Iter [1250/80000] lr: 1.177e-06, eta: 1 day, 17:49:03, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.9146, decode.loss_mask: 0.7096, decode.loss_dice: 1.0056, decode.d0.loss_cls: 8.0591, decode.d0.loss_mask: 0.6975, decode.d0.loss_dice: 1.1710, decode.d1.loss_cls: 1.2268, decode.d1.loss_mask: 0.7340, decode.d1.loss_dice: 1.0803, decode.d2.loss_cls: 1.0757, decode.d2.loss_mask: 0.7133, decode.d2.loss_dice: 1.0430, decode.d3.loss_cls: 1.0077, decode.d3.loss_mask: 0.7029, decode.d3.loss_dice: 1.0248, decode.d4.loss_cls: 0.9708, decode.d4.loss_mask: 0.7138, decode.d4.loss_dice: 1.0257, decode.d5.loss_cls: 0.9489, decode.d5.loss_mask: 0.7099, decode.d5.loss_dice: 1.0140, decode.d6.loss_cls: 0.9329, decode.d6.loss_mask: 0.7088, decode.d6.loss_dice: 1.0030, decode.d7.loss_cls: 0.9278, decode.d7.loss_mask: 0.7069, decode.d7.loss_dice: 1.0082, decode.d8.loss_cls: 0.9206, decode.d8.loss_mask: 0.7074, decode.d8.loss_dice: 1.0038, loss: 34.4685 2022-04-30 16:26:37,525 - mmseg - INFO - Iter [1300/80000] lr: 1.223e-06, eta: 1 day, 17:47:36, time: 1.914, data_time: 0.067, memory: 64716, decode.loss_cls: 0.8791, decode.loss_mask: 0.6935, decode.loss_dice: 1.0028, decode.d0.loss_cls: 7.8570, decode.d0.loss_mask: 0.6811, decode.d0.loss_dice: 1.1653, decode.d1.loss_cls: 1.1892, decode.d1.loss_mask: 0.7170, decode.d1.loss_dice: 1.0874, decode.d2.loss_cls: 1.0406, decode.d2.loss_mask: 0.6986, decode.d2.loss_dice: 1.0351, decode.d3.loss_cls: 0.9724, decode.d3.loss_mask: 0.6975, decode.d3.loss_dice: 1.0105, decode.d4.loss_cls: 0.9378, decode.d4.loss_mask: 0.6965, decode.d4.loss_dice: 1.0132, decode.d5.loss_cls: 0.9110, decode.d5.loss_mask: 0.6914, decode.d5.loss_dice: 1.0174, decode.d6.loss_cls: 0.8979, decode.d6.loss_mask: 0.6981, decode.d6.loss_dice: 1.0064, decode.d7.loss_cls: 0.8864, decode.d7.loss_mask: 0.6993, decode.d7.loss_dice: 1.0049, decode.d8.loss_cls: 0.8739, decode.d8.loss_mask: 0.6986, decode.d8.loss_dice: 1.0018, loss: 33.7617 2022-04-30 16:28:10,117 - mmseg - INFO - Iter [1350/80000] lr: 1.269e-06, eta: 1 day, 17:43:05, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.8668, decode.loss_mask: 0.7170, decode.loss_dice: 0.9734, decode.d0.loss_cls: 7.6322, decode.d0.loss_mask: 0.7061, decode.d0.loss_dice: 1.1354, decode.d1.loss_cls: 1.1371, decode.d1.loss_mask: 0.7414, decode.d1.loss_dice: 1.0657, decode.d2.loss_cls: 1.0024, decode.d2.loss_mask: 0.7211, decode.d2.loss_dice: 1.0070, decode.d3.loss_cls: 0.9420, decode.d3.loss_mask: 0.7155, decode.d3.loss_dice: 0.9887, decode.d4.loss_cls: 0.9100, decode.d4.loss_mask: 0.7216, decode.d4.loss_dice: 0.9874, decode.d5.loss_cls: 0.8936, decode.d5.loss_mask: 0.7194, decode.d5.loss_dice: 0.9844, decode.d6.loss_cls: 0.8796, decode.d6.loss_mask: 0.7201, decode.d6.loss_dice: 0.9844, decode.d7.loss_cls: 0.8676, decode.d7.loss_mask: 0.7135, decode.d7.loss_dice: 0.9841, decode.d8.loss_cls: 0.8608, decode.d8.loss_mask: 0.7196, decode.d8.loss_dice: 0.9811, loss: 33.2792 2022-04-30 16:29:43,853 - mmseg - INFO - Iter [1400/80000] lr: 1.316e-06, eta: 1 day, 17:39:54, time: 1.876, data_time: 0.014, memory: 64716, decode.loss_cls: 0.8723, decode.loss_mask: 0.7029, decode.loss_dice: 0.9913, decode.d0.loss_cls: 7.4032, decode.d0.loss_mask: 0.6889, decode.d0.loss_dice: 1.1519, decode.d1.loss_cls: 1.1268, decode.d1.loss_mask: 0.7278, decode.d1.loss_dice: 1.0692, decode.d2.loss_cls: 0.9939, decode.d2.loss_mask: 0.7108, decode.d2.loss_dice: 1.0210, decode.d3.loss_cls: 0.9418, decode.d3.loss_mask: 0.7055, decode.d3.loss_dice: 1.0063, decode.d4.loss_cls: 0.9075, decode.d4.loss_mask: 0.7107, decode.d4.loss_dice: 1.0039, decode.d5.loss_cls: 0.8937, decode.d5.loss_mask: 0.7149, decode.d5.loss_dice: 1.0029, decode.d6.loss_cls: 0.8902, decode.d6.loss_mask: 0.7049, decode.d6.loss_dice: 0.9937, decode.d7.loss_cls: 0.8783, decode.d7.loss_mask: 0.7057, decode.d7.loss_dice: 0.9908, decode.d8.loss_cls: 0.8669, decode.d8.loss_mask: 0.7056, decode.d8.loss_dice: 0.9934, loss: 33.0768 2022-04-30 16:31:18,752 - mmseg - INFO - Iter [1450/80000] lr: 1.362e-06, eta: 1 day, 17:37:48, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.8829, decode.loss_mask: 0.7185, decode.loss_dice: 1.0173, decode.d0.loss_cls: 7.1876, decode.d0.loss_mask: 0.6998, decode.d0.loss_dice: 1.1720, decode.d1.loss_cls: 1.1440, decode.d1.loss_mask: 0.7486, decode.d1.loss_dice: 1.1139, decode.d2.loss_cls: 1.0056, decode.d2.loss_mask: 0.7212, decode.d2.loss_dice: 1.0520, decode.d3.loss_cls: 0.9500, decode.d3.loss_mask: 0.7197, decode.d3.loss_dice: 1.0270, decode.d4.loss_cls: 0.9193, decode.d4.loss_mask: 0.7185, decode.d4.loss_dice: 1.0303, decode.d5.loss_cls: 0.9112, decode.d5.loss_mask: 0.7144, decode.d5.loss_dice: 1.0250, decode.d6.loss_cls: 0.8960, decode.d6.loss_mask: 0.7153, decode.d6.loss_dice: 1.0126, decode.d7.loss_cls: 0.8895, decode.d7.loss_mask: 0.7194, decode.d7.loss_dice: 1.0146, decode.d8.loss_cls: 0.8833, decode.d8.loss_mask: 0.7174, decode.d8.loss_dice: 1.0174, loss: 33.3444 2022-04-30 16:32:52,678 - mmseg - INFO - Iter [1500/80000] lr: 1.408e-06, eta: 1 day, 17:34:55, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.8640, decode.loss_mask: 0.7197, decode.loss_dice: 0.9972, decode.d0.loss_cls: 6.9378, decode.d0.loss_mask: 0.7302, decode.d0.loss_dice: 1.1750, decode.d1.loss_cls: 1.1068, decode.d1.loss_mask: 0.7463, decode.d1.loss_dice: 1.1055, decode.d2.loss_cls: 0.9748, decode.d2.loss_mask: 0.7302, decode.d2.loss_dice: 1.0454, decode.d3.loss_cls: 0.9235, decode.d3.loss_mask: 0.7293, decode.d3.loss_dice: 1.0219, decode.d4.loss_cls: 0.8994, decode.d4.loss_mask: 0.7284, decode.d4.loss_dice: 1.0237, decode.d5.loss_cls: 0.8804, decode.d5.loss_mask: 0.7250, decode.d5.loss_dice: 1.0177, decode.d6.loss_cls: 0.8660, decode.d6.loss_mask: 0.7257, decode.d6.loss_dice: 1.0079, decode.d7.loss_cls: 0.8579, decode.d7.loss_mask: 0.7274, decode.d7.loss_dice: 1.0129, decode.d8.loss_cls: 0.8619, decode.d8.loss_mask: 0.7223, decode.d8.loss_dice: 1.0028, loss: 32.8672 2022-04-30 16:34:26,252 - mmseg - INFO - Iter [1550/80000] lr: 1.408e-06, eta: 1 day, 17:31:53, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.8201, decode.loss_mask: 0.7160, decode.loss_dice: 1.0038, decode.d0.loss_cls: 6.6577, decode.d0.loss_mask: 0.7086, decode.d0.loss_dice: 1.1514, decode.d1.loss_cls: 1.0652, decode.d1.loss_mask: 0.7399, decode.d1.loss_dice: 1.0936, decode.d2.loss_cls: 0.9382, decode.d2.loss_mask: 0.7178, decode.d2.loss_dice: 1.0304, decode.d3.loss_cls: 0.8847, decode.d3.loss_mask: 0.7146, decode.d3.loss_dice: 1.0126, decode.d4.loss_cls: 0.8652, decode.d4.loss_mask: 0.7149, decode.d4.loss_dice: 1.0129, decode.d5.loss_cls: 0.8519, decode.d5.loss_mask: 0.7138, decode.d5.loss_dice: 1.0127, decode.d6.loss_cls: 0.8333, decode.d6.loss_mask: 0.7156, decode.d6.loss_dice: 1.0105, decode.d7.loss_cls: 0.8231, decode.d7.loss_mask: 0.7134, decode.d7.loss_dice: 1.0169, decode.d8.loss_cls: 0.8227, decode.d8.loss_mask: 0.7187, decode.d8.loss_dice: 1.0167, loss: 32.0968 2022-04-30 16:35:58,498 - mmseg - INFO - Iter [1600/80000] lr: 1.407e-06, eta: 1 day, 17:27:46, time: 1.844, data_time: 0.014, memory: 64716, decode.loss_cls: 0.8516, decode.loss_mask: 0.7167, decode.loss_dice: 1.0021, decode.d0.loss_cls: 6.4491, decode.d0.loss_mask: 0.7180, decode.d0.loss_dice: 1.1582, decode.d1.loss_cls: 1.0660, decode.d1.loss_mask: 0.7377, decode.d1.loss_dice: 1.0863, decode.d2.loss_cls: 0.9534, decode.d2.loss_mask: 0.7179, decode.d2.loss_dice: 1.0309, decode.d3.loss_cls: 0.9047, decode.d3.loss_mask: 0.7166, decode.d3.loss_dice: 1.0098, decode.d4.loss_cls: 0.8865, decode.d4.loss_mask: 0.7108, decode.d4.loss_dice: 1.0120, decode.d5.loss_cls: 0.8679, decode.d5.loss_mask: 0.7133, decode.d5.loss_dice: 1.0147, decode.d6.loss_cls: 0.8602, decode.d6.loss_mask: 0.7093, decode.d6.loss_dice: 1.0034, decode.d7.loss_cls: 0.8494, decode.d7.loss_mask: 0.7139, decode.d7.loss_dice: 1.0167, decode.d8.loss_cls: 0.8499, decode.d8.loss_mask: 0.7167, decode.d8.loss_dice: 1.0055, loss: 32.0489 2022-04-30 16:37:31,484 - mmseg - INFO - Iter [1650/80000] lr: 1.406e-06, eta: 1 day, 17:24:28, time: 1.861, data_time: 0.017, memory: 64716, decode.loss_cls: 0.8432, decode.loss_mask: 0.6898, decode.loss_dice: 0.9842, decode.d0.loss_cls: 6.2316, decode.d0.loss_mask: 0.6819, decode.d0.loss_dice: 1.1562, decode.d1.loss_cls: 1.0937, decode.d1.loss_mask: 0.7144, decode.d1.loss_dice: 1.0800, decode.d2.loss_cls: 0.9591, decode.d2.loss_mask: 0.6976, decode.d2.loss_dice: 1.0160, decode.d3.loss_cls: 0.9088, decode.d3.loss_mask: 0.6860, decode.d3.loss_dice: 0.9980, decode.d4.loss_cls: 0.8902, decode.d4.loss_mask: 0.6819, decode.d4.loss_dice: 0.9935, decode.d5.loss_cls: 0.8787, decode.d5.loss_mask: 0.6838, decode.d5.loss_dice: 0.9911, decode.d6.loss_cls: 0.8619, decode.d6.loss_mask: 0.6833, decode.d6.loss_dice: 0.9869, decode.d7.loss_cls: 0.8515, decode.d7.loss_mask: 0.6863, decode.d7.loss_dice: 0.9905, decode.d8.loss_cls: 0.8476, decode.d8.loss_mask: 0.6870, decode.d8.loss_dice: 0.9845, loss: 31.4391 2022-04-30 16:39:04,703 - mmseg - INFO - Iter [1700/80000] lr: 1.405e-06, eta: 1 day, 17:21:24, time: 1.864, data_time: 0.014, memory: 64716, decode.loss_cls: 0.8480, decode.loss_mask: 0.6725, decode.loss_dice: 0.9866, decode.d0.loss_cls: 5.9711, decode.d0.loss_mask: 0.6853, decode.d0.loss_dice: 1.1690, decode.d1.loss_cls: 1.0812, decode.d1.loss_mask: 0.6989, decode.d1.loss_dice: 1.0972, decode.d2.loss_cls: 0.9555, decode.d2.loss_mask: 0.6768, decode.d2.loss_dice: 1.0310, decode.d3.loss_cls: 0.9017, decode.d3.loss_mask: 0.6765, decode.d3.loss_dice: 1.0082, decode.d4.loss_cls: 0.8825, decode.d4.loss_mask: 0.6799, decode.d4.loss_dice: 1.0047, decode.d5.loss_cls: 0.8613, decode.d5.loss_mask: 0.6760, decode.d5.loss_dice: 1.0010, decode.d6.loss_cls: 0.8514, decode.d6.loss_mask: 0.6723, decode.d6.loss_dice: 0.9928, decode.d7.loss_cls: 0.8432, decode.d7.loss_mask: 0.6735, decode.d7.loss_dice: 0.9905, decode.d8.loss_cls: 0.8448, decode.d8.loss_mask: 0.6734, decode.d8.loss_dice: 0.9915, loss: 31.0983 2022-04-30 16:40:39,501 - mmseg - INFO - Iter [1750/80000] lr: 1.404e-06, eta: 1 day, 17:19:36, time: 1.896, data_time: 0.015, memory: 64716, decode.loss_cls: 0.7860, decode.loss_mask: 0.7177, decode.loss_dice: 0.9854, decode.d0.loss_cls: 5.7094, decode.d0.loss_mask: 0.7243, decode.d0.loss_dice: 1.1475, decode.d1.loss_cls: 0.9813, decode.d1.loss_mask: 0.7507, decode.d1.loss_dice: 1.0808, decode.d2.loss_cls: 0.8748, decode.d2.loss_mask: 0.7310, decode.d2.loss_dice: 1.0210, decode.d3.loss_cls: 0.8393, decode.d3.loss_mask: 0.7208, decode.d3.loss_dice: 1.0010, decode.d4.loss_cls: 0.8245, decode.d4.loss_mask: 0.7197, decode.d4.loss_dice: 1.0034, decode.d5.loss_cls: 0.8073, decode.d5.loss_mask: 0.7176, decode.d5.loss_dice: 1.0012, decode.d6.loss_cls: 0.7971, decode.d6.loss_mask: 0.7122, decode.d6.loss_dice: 0.9865, decode.d7.loss_cls: 0.7915, decode.d7.loss_mask: 0.7146, decode.d7.loss_dice: 0.9918, decode.d8.loss_cls: 0.7922, decode.d8.loss_mask: 0.7118, decode.d8.loss_dice: 0.9857, loss: 30.6283 2022-04-30 16:42:13,098 - mmseg - INFO - Iter [1800/80000] lr: 1.404e-06, eta: 1 day, 17:16:57, time: 1.872, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7571, decode.loss_mask: 0.6812, decode.loss_dice: 0.9470, decode.d0.loss_cls: 5.4611, decode.d0.loss_mask: 0.6874, decode.d0.loss_dice: 1.1172, decode.d1.loss_cls: 0.9506, decode.d1.loss_mask: 0.7042, decode.d1.loss_dice: 1.0466, decode.d2.loss_cls: 0.8438, decode.d2.loss_mask: 0.6899, decode.d2.loss_dice: 0.9893, decode.d3.loss_cls: 0.7998, decode.d3.loss_mask: 0.6842, decode.d3.loss_dice: 0.9628, decode.d4.loss_cls: 0.7783, decode.d4.loss_mask: 0.6840, decode.d4.loss_dice: 0.9654, decode.d5.loss_cls: 0.7717, decode.d5.loss_mask: 0.6816, decode.d5.loss_dice: 0.9647, decode.d6.loss_cls: 0.7611, decode.d6.loss_mask: 0.6807, decode.d6.loss_dice: 0.9546, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.6846, decode.d7.loss_dice: 0.9555, decode.d8.loss_cls: 0.7502, decode.d8.loss_mask: 0.6821, decode.d8.loss_dice: 0.9513, loss: 29.3381 2022-04-30 16:43:46,598 - mmseg - INFO - Iter [1850/80000] lr: 1.403e-06, eta: 1 day, 17:14:19, time: 1.870, data_time: 0.016, memory: 64716, decode.loss_cls: 0.8063, decode.loss_mask: 0.7196, decode.loss_dice: 1.0201, decode.d0.loss_cls: 5.2969, decode.d0.loss_mask: 0.7308, decode.d0.loss_dice: 1.1978, decode.d1.loss_cls: 1.0117, decode.d1.loss_mask: 0.7548, decode.d1.loss_dice: 1.1142, decode.d2.loss_cls: 0.9014, decode.d2.loss_mask: 0.7355, decode.d2.loss_dice: 1.0621, decode.d3.loss_cls: 0.8509, decode.d3.loss_mask: 0.7342, decode.d3.loss_dice: 1.0448, decode.d4.loss_cls: 0.8326, decode.d4.loss_mask: 0.7350, decode.d4.loss_dice: 1.0530, decode.d5.loss_cls: 0.8195, decode.d5.loss_mask: 0.7311, decode.d5.loss_dice: 1.0466, decode.d6.loss_cls: 0.8103, decode.d6.loss_mask: 0.7269, decode.d6.loss_dice: 1.0264, decode.d7.loss_cls: 0.8008, decode.d7.loss_mask: 0.7215, decode.d7.loss_dice: 1.0276, decode.d8.loss_cls: 0.7998, decode.d8.loss_mask: 0.7187, decode.d8.loss_dice: 1.0275, loss: 30.8583 2022-04-30 16:45:18,906 - mmseg - INFO - Iter [1900/80000] lr: 1.402e-06, eta: 1 day, 17:10:53, time: 1.846, data_time: 0.015, memory: 64716, decode.loss_cls: 0.7682, decode.loss_mask: 0.6985, decode.loss_dice: 0.9762, decode.d0.loss_cls: 5.0573, decode.d0.loss_mask: 0.7088, decode.d0.loss_dice: 1.1434, decode.d1.loss_cls: 0.9777, decode.d1.loss_mask: 0.7347, decode.d1.loss_dice: 1.0756, decode.d2.loss_cls: 0.8677, decode.d2.loss_mask: 0.7122, decode.d2.loss_dice: 1.0220, decode.d3.loss_cls: 0.8275, decode.d3.loss_mask: 0.7091, decode.d3.loss_dice: 1.0046, decode.d4.loss_cls: 0.8032, decode.d4.loss_mask: 0.7079, decode.d4.loss_dice: 1.0022, decode.d5.loss_cls: 0.7927, decode.d5.loss_mask: 0.6948, decode.d5.loss_dice: 0.9908, decode.d6.loss_cls: 0.7794, decode.d6.loss_mask: 0.6974, decode.d6.loss_dice: 0.9826, decode.d7.loss_cls: 0.7738, decode.d7.loss_mask: 0.6998, decode.d7.loss_dice: 0.9808, decode.d8.loss_cls: 0.7649, decode.d8.loss_mask: 0.6980, decode.d8.loss_dice: 0.9871, loss: 29.6388 2022-04-30 16:46:52,826 - mmseg - INFO - Iter [1950/80000] lr: 1.401e-06, eta: 1 day, 17:08:39, time: 1.879, data_time: 0.014, memory: 64716, decode.loss_cls: 0.8012, decode.loss_mask: 0.7027, decode.loss_dice: 0.9783, decode.d0.loss_cls: 4.8649, decode.d0.loss_mask: 0.7218, decode.d0.loss_dice: 1.1552, decode.d1.loss_cls: 1.0082, decode.d1.loss_mask: 0.7285, decode.d1.loss_dice: 1.0682, decode.d2.loss_cls: 0.8891, decode.d2.loss_mask: 0.7106, decode.d2.loss_dice: 1.0171, decode.d3.loss_cls: 0.8485, decode.d3.loss_mask: 0.7123, decode.d3.loss_dice: 1.0026, decode.d4.loss_cls: 0.8330, decode.d4.loss_mask: 0.7102, decode.d4.loss_dice: 1.0070, decode.d5.loss_cls: 0.8209, decode.d5.loss_mask: 0.7089, decode.d5.loss_dice: 0.9968, decode.d6.loss_cls: 0.8107, decode.d6.loss_mask: 0.7044, decode.d6.loss_dice: 0.9876, decode.d7.loss_cls: 0.8094, decode.d7.loss_mask: 0.7038, decode.d7.loss_dice: 0.9854, decode.d8.loss_cls: 0.8021, decode.d8.loss_mask: 0.7030, decode.d8.loss_dice: 0.9888, loss: 29.7816 2022-04-30 16:48:27,012 - mmseg - INFO - Saving checkpoint at 2000 iterations 2022-04-30 16:48:45,724 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 16:48:45,728 - mmseg - INFO - Iter [2000/80000] lr: 1.400e-06, eta: 1 day, 17:18:42, time: 2.256, data_time: 0.014, memory: 64716, decode.loss_cls: 0.8016, decode.loss_mask: 0.7342, decode.loss_dice: 1.0213, decode.d0.loss_cls: 4.6502, decode.d0.loss_mask: 0.7477, decode.d0.loss_dice: 1.1990, decode.d1.loss_cls: 0.9776, decode.d1.loss_mask: 0.7664, decode.d1.loss_dice: 1.1148, decode.d2.loss_cls: 0.8811, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.0690, decode.d3.loss_cls: 0.8481, decode.d3.loss_mask: 0.7389, decode.d3.loss_dice: 1.0503, decode.d4.loss_cls: 0.8336, decode.d4.loss_mask: 0.7382, decode.d4.loss_dice: 1.0433, decode.d5.loss_cls: 0.8256, decode.d5.loss_mask: 0.7348, decode.d5.loss_dice: 1.0392, decode.d6.loss_cls: 0.8144, decode.d6.loss_mask: 0.7356, decode.d6.loss_dice: 1.0358, decode.d7.loss_cls: 0.8073, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.0348, decode.d8.loss_cls: 0.8056, decode.d8.loss_mask: 0.7377, decode.d8.loss_dice: 1.0310, loss: 30.3040 2022-04-30 16:50:20,372 - mmseg - INFO - Iter [2050/80000] lr: 1.399e-06, eta: 1 day, 17:16:45, time: 1.895, data_time: 0.017, memory: 64716, decode.loss_cls: 0.7833, decode.loss_mask: 0.6951, decode.loss_dice: 0.9947, decode.d0.loss_cls: 4.4339, decode.d0.loss_mask: 0.7127, decode.d0.loss_dice: 1.1545, decode.d1.loss_cls: 0.9523, decode.d1.loss_mask: 0.7252, decode.d1.loss_dice: 1.0769, decode.d2.loss_cls: 0.8608, decode.d2.loss_mask: 0.7138, decode.d2.loss_dice: 1.0278, decode.d3.loss_cls: 0.8266, decode.d3.loss_mask: 0.7012, decode.d3.loss_dice: 1.0003, decode.d4.loss_cls: 0.8094, decode.d4.loss_mask: 0.7043, decode.d4.loss_dice: 0.9958, decode.d5.loss_cls: 0.7916, decode.d5.loss_mask: 0.7018, decode.d5.loss_dice: 0.9974, decode.d6.loss_cls: 0.7836, decode.d6.loss_mask: 0.6989, decode.d6.loss_dice: 0.9864, decode.d7.loss_cls: 0.7821, decode.d7.loss_mask: 0.6992, decode.d7.loss_dice: 0.9913, decode.d8.loss_cls: 0.7803, decode.d8.loss_mask: 0.7008, decode.d8.loss_dice: 0.9936, loss: 29.0756 2022-04-30 16:51:54,594 - mmseg - INFO - Iter [2100/80000] lr: 1.398e-06, eta: 1 day, 17:14:27, time: 1.883, data_time: 0.015, memory: 64716, decode.loss_cls: 0.7800, decode.loss_mask: 0.6812, decode.loss_dice: 0.9784, decode.d0.loss_cls: 4.2961, decode.d0.loss_mask: 0.7114, decode.d0.loss_dice: 1.1558, decode.d1.loss_cls: 0.9665, decode.d1.loss_mask: 0.7151, decode.d1.loss_dice: 1.0646, decode.d2.loss_cls: 0.8753, decode.d2.loss_mask: 0.6951, decode.d2.loss_dice: 1.0173, decode.d3.loss_cls: 0.8304, decode.d3.loss_mask: 0.6834, decode.d3.loss_dice: 0.9888, decode.d4.loss_cls: 0.8151, decode.d4.loss_mask: 0.6839, decode.d4.loss_dice: 0.9924, decode.d5.loss_cls: 0.7938, decode.d5.loss_mask: 0.6861, decode.d5.loss_dice: 1.0002, decode.d6.loss_cls: 0.7810, decode.d6.loss_mask: 0.6879, decode.d6.loss_dice: 0.9775, decode.d7.loss_cls: 0.7799, decode.d7.loss_mask: 0.6835, decode.d7.loss_dice: 0.9813, decode.d8.loss_cls: 0.7811, decode.d8.loss_mask: 0.6835, decode.d8.loss_dice: 0.9789, loss: 28.7454 2022-04-30 16:53:28,233 - mmseg - INFO - Iter [2150/80000] lr: 1.397e-06, eta: 1 day, 17:11:52, time: 1.873, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7703, decode.loss_mask: 0.7092, decode.loss_dice: 1.0098, decode.d0.loss_cls: 4.0670, decode.d0.loss_mask: 0.7353, decode.d0.loss_dice: 1.1840, decode.d1.loss_cls: 0.9387, decode.d1.loss_mask: 0.7431, decode.d1.loss_dice: 1.1022, decode.d2.loss_cls: 0.8440, decode.d2.loss_mask: 0.7281, decode.d2.loss_dice: 1.0544, decode.d3.loss_cls: 0.8122, decode.d3.loss_mask: 0.7180, decode.d3.loss_dice: 1.0328, decode.d4.loss_cls: 0.7928, decode.d4.loss_mask: 0.7189, decode.d4.loss_dice: 1.0390, decode.d5.loss_cls: 0.7837, decode.d5.loss_mask: 0.7198, decode.d5.loss_dice: 1.0207, decode.d6.loss_cls: 0.7773, decode.d6.loss_mask: 0.7164, decode.d6.loss_dice: 1.0161, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7139, decode.d7.loss_dice: 1.0145, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7109, decode.d8.loss_dice: 1.0130, loss: 29.0215 2022-04-30 16:55:02,109 - mmseg - INFO - Iter [2200/80000] lr: 1.396e-06, eta: 1 day, 17:09:29, time: 1.878, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7378, decode.loss_mask: 0.7202, decode.loss_dice: 1.0140, decode.d0.loss_cls: 3.8758, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.1638, decode.d1.loss_cls: 0.9085, decode.d1.loss_mask: 0.7542, decode.d1.loss_dice: 1.0889, decode.d2.loss_cls: 0.8234, decode.d2.loss_mask: 0.7267, decode.d2.loss_dice: 1.0457, decode.d3.loss_cls: 0.7886, decode.d3.loss_mask: 0.7293, decode.d3.loss_dice: 1.0162, decode.d4.loss_cls: 0.7683, decode.d4.loss_mask: 0.7313, decode.d4.loss_dice: 1.0194, decode.d5.loss_cls: 0.7604, decode.d5.loss_mask: 0.7216, decode.d5.loss_dice: 1.0172, decode.d6.loss_cls: 0.7567, decode.d6.loss_mask: 0.7238, decode.d6.loss_dice: 1.0028, decode.d7.loss_cls: 0.7509, decode.d7.loss_mask: 0.7199, decode.d7.loss_dice: 1.0029, decode.d8.loss_cls: 0.7463, decode.d8.loss_mask: 0.7183, decode.d8.loss_dice: 1.0082, loss: 28.5898 2022-04-30 16:56:35,204 - mmseg - INFO - Iter [2250/80000] lr: 1.395e-06, eta: 1 day, 17:06:39, time: 1.862, data_time: 0.014, memory: 64716, decode.loss_cls: 0.7450, decode.loss_mask: 0.7091, decode.loss_dice: 0.9944, decode.d0.loss_cls: 3.7451, decode.d0.loss_mask: 0.7326, decode.d0.loss_dice: 1.1694, decode.d1.loss_cls: 0.9077, decode.d1.loss_mask: 0.7489, decode.d1.loss_dice: 1.1017, decode.d2.loss_cls: 0.8201, decode.d2.loss_mask: 0.7266, decode.d2.loss_dice: 1.0380, decode.d3.loss_cls: 0.7836, decode.d3.loss_mask: 0.7191, decode.d3.loss_dice: 1.0139, decode.d4.loss_cls: 0.7743, decode.d4.loss_mask: 0.7177, decode.d4.loss_dice: 1.0131, decode.d5.loss_cls: 0.7623, decode.d5.loss_mask: 0.7108, decode.d5.loss_dice: 1.0076, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7089, decode.d6.loss_dice: 0.9902, decode.d7.loss_cls: 0.7448, decode.d7.loss_mask: 0.7121, decode.d7.loss_dice: 0.9987, decode.d8.loss_cls: 0.7461, decode.d8.loss_mask: 0.7106, decode.d8.loss_dice: 0.9903, loss: 28.2961 2022-04-30 16:58:10,412 - mmseg - INFO - Iter [2300/80000] lr: 1.395e-06, eta: 1 day, 17:05:05, time: 1.904, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7721, decode.loss_mask: 0.7045, decode.loss_dice: 0.9964, decode.d0.loss_cls: 3.5777, decode.d0.loss_mask: 0.7349, decode.d0.loss_dice: 1.1822, decode.d1.loss_cls: 0.9330, decode.d1.loss_mask: 0.7448, decode.d1.loss_dice: 1.0818, decode.d2.loss_cls: 0.8654, decode.d2.loss_mask: 0.7186, decode.d2.loss_dice: 1.0263, decode.d3.loss_cls: 0.8173, decode.d3.loss_mask: 0.7077, decode.d3.loss_dice: 1.0107, decode.d4.loss_cls: 0.7984, decode.d4.loss_mask: 0.7115, decode.d4.loss_dice: 1.0049, decode.d5.loss_cls: 0.7875, decode.d5.loss_mask: 0.7082, decode.d5.loss_dice: 1.0041, decode.d6.loss_cls: 0.7794, decode.d6.loss_mask: 0.7054, decode.d6.loss_dice: 0.9935, decode.d7.loss_cls: 0.7755, decode.d7.loss_mask: 0.7084, decode.d7.loss_dice: 0.9952, decode.d8.loss_cls: 0.7827, decode.d8.loss_mask: 0.7061, decode.d8.loss_dice: 0.9936, loss: 28.3279 2022-04-30 16:59:44,581 - mmseg - INFO - Iter [2350/80000] lr: 1.394e-06, eta: 1 day, 17:02:57, time: 1.883, data_time: 0.017, memory: 64716, decode.loss_cls: 0.7206, decode.loss_mask: 0.6980, decode.loss_dice: 0.9870, decode.d0.loss_cls: 3.4442, decode.d0.loss_mask: 0.7306, decode.d0.loss_dice: 1.1490, decode.d1.loss_cls: 0.8838, decode.d1.loss_mask: 0.7317, decode.d1.loss_dice: 1.0850, decode.d2.loss_cls: 0.8009, decode.d2.loss_mask: 0.7208, decode.d2.loss_dice: 1.0304, decode.d3.loss_cls: 0.7688, decode.d3.loss_mask: 0.7096, decode.d3.loss_dice: 1.0096, decode.d4.loss_cls: 0.7562, decode.d4.loss_mask: 0.7060, decode.d4.loss_dice: 0.9996, decode.d5.loss_cls: 0.7441, decode.d5.loss_mask: 0.7000, decode.d5.loss_dice: 0.9932, decode.d6.loss_cls: 0.7311, decode.d6.loss_mask: 0.7046, decode.d6.loss_dice: 0.9896, decode.d7.loss_cls: 0.7238, decode.d7.loss_mask: 0.7050, decode.d7.loss_dice: 0.9934, decode.d8.loss_cls: 0.7214, decode.d8.loss_mask: 0.7050, decode.d8.loss_dice: 0.9893, loss: 27.6324 2022-04-30 17:01:17,026 - mmseg - INFO - Iter [2400/80000] lr: 1.393e-06, eta: 1 day, 16:59:53, time: 1.848, data_time: 0.015, memory: 64716, decode.loss_cls: 0.7294, decode.loss_mask: 0.7159, decode.loss_dice: 1.0265, decode.d0.loss_cls: 3.3064, decode.d0.loss_mask: 0.7359, decode.d0.loss_dice: 1.1901, decode.d1.loss_cls: 0.8909, decode.d1.loss_mask: 0.7418, decode.d1.loss_dice: 1.1136, decode.d2.loss_cls: 0.8009, decode.d2.loss_mask: 0.7264, decode.d2.loss_dice: 1.0675, decode.d3.loss_cls: 0.7670, decode.d3.loss_mask: 0.7212, decode.d3.loss_dice: 1.0423, decode.d4.loss_cls: 0.7507, decode.d4.loss_mask: 0.7197, decode.d4.loss_dice: 1.0439, decode.d5.loss_cls: 0.7438, decode.d5.loss_mask: 0.7161, decode.d5.loss_dice: 1.0352, decode.d6.loss_cls: 0.7313, decode.d6.loss_mask: 0.7125, decode.d6.loss_dice: 1.0257, decode.d7.loss_cls: 0.7252, decode.d7.loss_mask: 0.7161, decode.d7.loss_dice: 1.0306, decode.d8.loss_cls: 0.7295, decode.d8.loss_mask: 0.7168, decode.d8.loss_dice: 1.0242, loss: 27.9970 2022-04-30 17:02:49,286 - mmseg - INFO - Iter [2450/80000] lr: 1.392e-06, eta: 1 day, 16:56:48, time: 1.845, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7324, decode.loss_mask: 0.6548, decode.loss_dice: 0.9479, decode.d0.loss_cls: 3.2157, decode.d0.loss_mask: 0.6860, decode.d0.loss_dice: 1.1362, decode.d1.loss_cls: 0.9119, decode.d1.loss_mask: 0.6885, decode.d1.loss_dice: 1.0510, decode.d2.loss_cls: 0.8252, decode.d2.loss_mask: 0.6672, decode.d2.loss_dice: 1.0028, decode.d3.loss_cls: 0.7753, decode.d3.loss_mask: 0.6699, decode.d3.loss_dice: 0.9894, decode.d4.loss_cls: 0.7617, decode.d4.loss_mask: 0.6632, decode.d4.loss_dice: 0.9706, decode.d5.loss_cls: 0.7556, decode.d5.loss_mask: 0.6635, decode.d5.loss_dice: 0.9666, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.6574, decode.d6.loss_dice: 0.9529, decode.d7.loss_cls: 0.7360, decode.d7.loss_mask: 0.6604, decode.d7.loss_dice: 0.9618, decode.d8.loss_cls: 0.7405, decode.d8.loss_mask: 0.6549, decode.d8.loss_dice: 0.9530, loss: 26.7987 2022-04-30 17:04:22,310 - mmseg - INFO - Iter [2500/80000] lr: 1.391e-06, eta: 1 day, 16:54:11, time: 1.860, data_time: 0.016, memory: 64716, decode.loss_cls: 0.7595, decode.loss_mask: 0.7096, decode.loss_dice: 1.0054, decode.d0.loss_cls: 3.1322, decode.d0.loss_mask: 0.7365, decode.d0.loss_dice: 1.1898, decode.d1.loss_cls: 0.9128, decode.d1.loss_mask: 0.7405, decode.d1.loss_dice: 1.1092, decode.d2.loss_cls: 0.8253, decode.d2.loss_mask: 0.7272, decode.d2.loss_dice: 1.0525, decode.d3.loss_cls: 0.7972, decode.d3.loss_mask: 0.7149, decode.d3.loss_dice: 1.0148, decode.d4.loss_cls: 0.7786, decode.d4.loss_mask: 0.7169, decode.d4.loss_dice: 1.0190, decode.d5.loss_cls: 0.7756, decode.d5.loss_mask: 0.7176, decode.d5.loss_dice: 1.0238, decode.d6.loss_cls: 0.7680, decode.d6.loss_mask: 0.7106, decode.d6.loss_dice: 1.0091, decode.d7.loss_cls: 0.7592, decode.d7.loss_mask: 0.7118, decode.d7.loss_dice: 1.0153, decode.d8.loss_cls: 0.7588, decode.d8.loss_mask: 0.7128, decode.d8.loss_dice: 1.0138, loss: 27.9181 2022-04-30 17:05:59,264 - mmseg - INFO - Iter [2550/80000] lr: 1.390e-06, eta: 1 day, 16:53:36, time: 1.940, data_time: 0.061, memory: 64716, decode.loss_cls: 0.7165, decode.loss_mask: 0.6928, decode.loss_dice: 0.9567, decode.d0.loss_cls: 2.9711, decode.d0.loss_mask: 0.7259, decode.d0.loss_dice: 1.1336, decode.d1.loss_cls: 0.8545, decode.d1.loss_mask: 0.7309, decode.d1.loss_dice: 1.0518, decode.d2.loss_cls: 0.7791, decode.d2.loss_mask: 0.7057, decode.d2.loss_dice: 1.0008, decode.d3.loss_cls: 0.7480, decode.d3.loss_mask: 0.6958, decode.d3.loss_dice: 0.9741, decode.d4.loss_cls: 0.7343, decode.d4.loss_mask: 0.7001, decode.d4.loss_dice: 0.9698, decode.d5.loss_cls: 0.7278, decode.d5.loss_mask: 0.6961, decode.d5.loss_dice: 0.9722, decode.d6.loss_cls: 0.7197, decode.d6.loss_mask: 0.6867, decode.d6.loss_dice: 0.9525, decode.d7.loss_cls: 0.7146, decode.d7.loss_mask: 0.6940, decode.d7.loss_dice: 0.9508, decode.d8.loss_cls: 0.7096, decode.d8.loss_mask: 0.6955, decode.d8.loss_dice: 0.9613, loss: 26.6223 2022-04-30 17:07:33,033 - mmseg - INFO - Iter [2600/80000] lr: 1.389e-06, eta: 1 day, 16:51:22, time: 1.875, data_time: 0.013, memory: 64716, decode.loss_cls: 0.7050, decode.loss_mask: 0.6953, decode.loss_dice: 0.9772, decode.d0.loss_cls: 2.9142, decode.d0.loss_mask: 0.7214, decode.d0.loss_dice: 1.1338, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.7222, decode.d1.loss_dice: 1.0687, decode.d2.loss_cls: 0.7672, decode.d2.loss_mask: 0.7069, decode.d2.loss_dice: 1.0213, decode.d3.loss_cls: 0.7408, decode.d3.loss_mask: 0.7045, decode.d3.loss_dice: 1.0003, decode.d4.loss_cls: 0.7254, decode.d4.loss_mask: 0.7004, decode.d4.loss_dice: 0.9955, decode.d5.loss_cls: 0.7183, decode.d5.loss_mask: 0.6954, decode.d5.loss_dice: 0.9932, decode.d6.loss_cls: 0.7123, decode.d6.loss_mask: 0.6902, decode.d6.loss_dice: 0.9810, decode.d7.loss_cls: 0.7043, decode.d7.loss_mask: 0.6956, decode.d7.loss_dice: 0.9898, decode.d8.loss_cls: 0.7077, decode.d8.loss_mask: 0.6922, decode.d8.loss_dice: 0.9799, loss: 26.7274 2022-04-30 17:09:05,532 - mmseg - INFO - Iter [2650/80000] lr: 1.388e-06, eta: 1 day, 16:48:34, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6892, decode.loss_mask: 0.6821, decode.loss_dice: 0.9865, decode.d0.loss_cls: 2.7794, decode.d0.loss_mask: 0.7175, decode.d0.loss_dice: 1.1427, decode.d1.loss_cls: 0.8383, decode.d1.loss_mask: 0.7082, decode.d1.loss_dice: 1.0647, decode.d2.loss_cls: 0.7598, decode.d2.loss_mask: 0.6891, decode.d2.loss_dice: 1.0245, decode.d3.loss_cls: 0.7290, decode.d3.loss_mask: 0.6865, decode.d3.loss_dice: 1.0003, decode.d4.loss_cls: 0.7174, decode.d4.loss_mask: 0.6813, decode.d4.loss_dice: 0.9980, decode.d5.loss_cls: 0.7083, decode.d5.loss_mask: 0.6832, decode.d5.loss_dice: 0.9971, decode.d6.loss_cls: 0.7042, decode.d6.loss_mask: 0.6772, decode.d6.loss_dice: 0.9781, decode.d7.loss_cls: 0.6908, decode.d7.loss_mask: 0.6816, decode.d7.loss_dice: 0.9811, decode.d8.loss_cls: 0.6930, decode.d8.loss_mask: 0.6828, decode.d8.loss_dice: 0.9908, loss: 26.3626 2022-04-30 17:10:37,465 - mmseg - INFO - Iter [2700/80000] lr: 1.387e-06, eta: 1 day, 16:45:33, time: 1.839, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6669, decode.loss_mask: 0.6959, decode.loss_dice: 0.9627, decode.d0.loss_cls: 2.6708, decode.d0.loss_mask: 0.7245, decode.d0.loss_dice: 1.1216, decode.d1.loss_cls: 0.8247, decode.d1.loss_mask: 0.7204, decode.d1.loss_dice: 1.0477, decode.d2.loss_cls: 0.7382, decode.d2.loss_mask: 0.7062, decode.d2.loss_dice: 1.0053, decode.d3.loss_cls: 0.7063, decode.d3.loss_mask: 0.7007, decode.d3.loss_dice: 0.9846, decode.d4.loss_cls: 0.6970, decode.d4.loss_mask: 0.6976, decode.d4.loss_dice: 0.9818, decode.d5.loss_cls: 0.6830, decode.d5.loss_mask: 0.6959, decode.d5.loss_dice: 0.9712, decode.d6.loss_cls: 0.6721, decode.d6.loss_mask: 0.6896, decode.d6.loss_dice: 0.9675, decode.d7.loss_cls: 0.6642, decode.d7.loss_mask: 0.6945, decode.d7.loss_dice: 0.9663, decode.d8.loss_cls: 0.6683, decode.d8.loss_mask: 0.6943, decode.d8.loss_dice: 0.9638, loss: 25.9834 2022-04-30 17:12:12,634 - mmseg - INFO - Iter [2750/80000] lr: 1.386e-06, eta: 1 day, 16:44:06, time: 1.904, data_time: 0.013, memory: 64716, decode.loss_cls: 0.6839, decode.loss_mask: 0.6637, decode.loss_dice: 0.9504, decode.d0.loss_cls: 2.6430, decode.d0.loss_mask: 0.6969, decode.d0.loss_dice: 1.1054, decode.d1.loss_cls: 0.8409, decode.d1.loss_mask: 0.6957, decode.d1.loss_dice: 1.0401, decode.d2.loss_cls: 0.7604, decode.d2.loss_mask: 0.6796, decode.d2.loss_dice: 0.9929, decode.d3.loss_cls: 0.7246, decode.d3.loss_mask: 0.6649, decode.d3.loss_dice: 0.9616, decode.d4.loss_cls: 0.7155, decode.d4.loss_mask: 0.6686, decode.d4.loss_dice: 0.9654, decode.d5.loss_cls: 0.7052, decode.d5.loss_mask: 0.6624, decode.d5.loss_dice: 0.9610, decode.d6.loss_cls: 0.6902, decode.d6.loss_mask: 0.6627, decode.d6.loss_dice: 0.9554, decode.d7.loss_cls: 0.6856, decode.d7.loss_mask: 0.6657, decode.d7.loss_dice: 0.9509, decode.d8.loss_cls: 0.6847, decode.d8.loss_mask: 0.6664, decode.d8.loss_dice: 0.9488, loss: 25.6925 2022-04-30 17:13:47,058 - mmseg - INFO - Iter [2800/80000] lr: 1.386e-06, eta: 1 day, 16:42:17, time: 1.889, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6929, decode.loss_mask: 0.6671, decode.loss_dice: 0.9506, decode.d0.loss_cls: 2.6212, decode.d0.loss_mask: 0.7037, decode.d0.loss_dice: 1.1160, decode.d1.loss_cls: 0.8477, decode.d1.loss_mask: 0.6993, decode.d1.loss_dice: 1.0308, decode.d2.loss_cls: 0.7619, decode.d2.loss_mask: 0.6822, decode.d2.loss_dice: 0.9943, decode.d3.loss_cls: 0.7309, decode.d3.loss_mask: 0.6787, decode.d3.loss_dice: 0.9726, decode.d4.loss_cls: 0.7173, decode.d4.loss_mask: 0.6751, decode.d4.loss_dice: 0.9712, decode.d5.loss_cls: 0.7039, decode.d5.loss_mask: 0.6723, decode.d5.loss_dice: 0.9687, decode.d6.loss_cls: 0.7013, decode.d6.loss_mask: 0.6646, decode.d6.loss_dice: 0.9542, decode.d7.loss_cls: 0.6913, decode.d7.loss_mask: 0.6680, decode.d7.loss_dice: 0.9512, decode.d8.loss_cls: 0.6872, decode.d8.loss_mask: 0.6703, decode.d8.loss_dice: 0.9584, loss: 25.8050 2022-04-30 17:15:21,716 - mmseg - INFO - Iter [2850/80000] lr: 1.385e-06, eta: 1 day, 16:40:35, time: 1.893, data_time: 0.015, memory: 64716, decode.loss_cls: 0.7043, decode.loss_mask: 0.6881, decode.loss_dice: 0.9814, decode.d0.loss_cls: 2.5599, decode.d0.loss_mask: 0.7313, decode.d0.loss_dice: 1.1517, decode.d1.loss_cls: 0.8499, decode.d1.loss_mask: 0.7146, decode.d1.loss_dice: 1.0671, decode.d2.loss_cls: 0.7720, decode.d2.loss_mask: 0.6962, decode.d2.loss_dice: 1.0145, decode.d3.loss_cls: 0.7401, decode.d3.loss_mask: 0.6896, decode.d3.loss_dice: 1.0068, decode.d4.loss_cls: 0.7317, decode.d4.loss_mask: 0.6873, decode.d4.loss_dice: 1.0009, decode.d5.loss_cls: 0.7245, decode.d5.loss_mask: 0.6887, decode.d5.loss_dice: 0.9943, decode.d6.loss_cls: 0.7121, decode.d6.loss_mask: 0.6869, decode.d6.loss_dice: 0.9797, decode.d7.loss_cls: 0.7044, decode.d7.loss_mask: 0.6902, decode.d7.loss_dice: 0.9865, decode.d8.loss_cls: 0.6994, decode.d8.loss_mask: 0.6901, decode.d8.loss_dice: 0.9880, loss: 26.3322 2022-04-30 17:16:55,352 - mmseg - INFO - Iter [2900/80000] lr: 1.384e-06, eta: 1 day, 16:38:25, time: 1.872, data_time: 0.014, memory: 64716, decode.loss_cls: 0.6864, decode.loss_mask: 0.7028, decode.loss_dice: 0.9798, decode.d0.loss_cls: 2.4675, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.1415, decode.d1.loss_cls: 0.8167, decode.d1.loss_mask: 0.7365, decode.d1.loss_dice: 1.0709, decode.d2.loss_cls: 0.7452, decode.d2.loss_mask: 0.7218, decode.d2.loss_dice: 1.0236, decode.d3.loss_cls: 0.7176, decode.d3.loss_mask: 0.7104, decode.d3.loss_dice: 1.0056, decode.d4.loss_cls: 0.7083, decode.d4.loss_mask: 0.7114, decode.d4.loss_dice: 0.9973, decode.d5.loss_cls: 0.7062, decode.d5.loss_mask: 0.7082, decode.d5.loss_dice: 0.9940, decode.d6.loss_cls: 0.6946, decode.d6.loss_mask: 0.7086, decode.d6.loss_dice: 0.9829, decode.d7.loss_cls: 0.6889, decode.d7.loss_mask: 0.7088, decode.d7.loss_dice: 0.9788, decode.d8.loss_cls: 0.6881, decode.d8.loss_mask: 0.7051, decode.d8.loss_dice: 0.9783, loss: 26.2280 2022-04-30 17:18:28,463 - mmseg - INFO - Iter [2950/80000] lr: 1.383e-06, eta: 1 day, 16:36:06, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6955, decode.loss_mask: 0.6929, decode.loss_dice: 0.9884, decode.d0.loss_cls: 2.4340, decode.d0.loss_mask: 0.7281, decode.d0.loss_dice: 1.1588, decode.d1.loss_cls: 0.8315, decode.d1.loss_mask: 0.7280, decode.d1.loss_dice: 1.0901, decode.d2.loss_cls: 0.7529, decode.d2.loss_mask: 0.7022, decode.d2.loss_dice: 1.0409, decode.d3.loss_cls: 0.7222, decode.d3.loss_mask: 0.6991, decode.d3.loss_dice: 1.0082, decode.d4.loss_cls: 0.7114, decode.d4.loss_mask: 0.6938, decode.d4.loss_dice: 1.0048, decode.d5.loss_cls: 0.7064, decode.d5.loss_mask: 0.6904, decode.d5.loss_dice: 0.9949, decode.d6.loss_cls: 0.7011, decode.d6.loss_mask: 0.6894, decode.d6.loss_dice: 0.9906, decode.d7.loss_cls: 0.6965, decode.d7.loss_mask: 0.6883, decode.d7.loss_dice: 0.9865, decode.d8.loss_cls: 0.6970, decode.d8.loss_mask: 0.6905, decode.d8.loss_dice: 0.9869, loss: 26.2011 2022-04-30 17:20:02,756 - mmseg - INFO - Saving checkpoint at 3000 iterations 2022-04-30 17:20:34,260 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 17:20:34,274 - mmseg - INFO - Iter [3000/80000] lr: 1.382e-06, eta: 1 day, 16:47:41, time: 2.513, data_time: 0.014, memory: 64716, decode.loss_cls: 0.6781, decode.loss_mask: 0.7172, decode.loss_dice: 1.0034, decode.d0.loss_cls: 2.3210, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.1704, decode.d1.loss_cls: 0.8150, decode.d1.loss_mask: 0.7480, decode.d1.loss_dice: 1.0867, decode.d2.loss_cls: 0.7407, decode.d2.loss_mask: 0.7282, decode.d2.loss_dice: 1.0439, decode.d3.loss_cls: 0.7114, decode.d3.loss_mask: 0.7258, decode.d3.loss_dice: 1.0303, decode.d4.loss_cls: 0.6991, decode.d4.loss_mask: 0.7239, decode.d4.loss_dice: 1.0240, decode.d5.loss_cls: 0.6894, decode.d5.loss_mask: 0.7235, decode.d5.loss_dice: 1.0228, decode.d6.loss_cls: 0.6867, decode.d6.loss_mask: 0.7141, decode.d6.loss_dice: 0.9967, decode.d7.loss_cls: 0.6807, decode.d7.loss_mask: 0.7235, decode.d7.loss_dice: 1.0085, decode.d8.loss_cls: 0.6859, decode.d8.loss_mask: 0.7167, decode.d8.loss_dice: 0.9971, loss: 26.3751 2022-04-30 17:22:09,546 - mmseg - INFO - Iter [3050/80000] lr: 1.381e-06, eta: 1 day, 16:46:06, time: 1.908, data_time: 0.018, memory: 64716, decode.loss_cls: 0.6606, decode.loss_mask: 0.6810, decode.loss_dice: 0.9810, decode.d0.loss_cls: 2.3477, decode.d0.loss_mask: 0.7195, decode.d0.loss_dice: 1.1398, decode.d1.loss_cls: 0.7908, decode.d1.loss_mask: 0.7126, decode.d1.loss_dice: 1.0599, decode.d2.loss_cls: 0.7240, decode.d2.loss_mask: 0.6901, decode.d2.loss_dice: 1.0161, decode.d3.loss_cls: 0.6963, decode.d3.loss_mask: 0.6818, decode.d3.loss_dice: 0.9952, decode.d4.loss_cls: 0.6820, decode.d4.loss_mask: 0.6813, decode.d4.loss_dice: 0.9961, decode.d5.loss_cls: 0.6792, decode.d5.loss_mask: 0.6809, decode.d5.loss_dice: 0.9889, decode.d6.loss_cls: 0.6720, decode.d6.loss_mask: 0.6762, decode.d6.loss_dice: 0.9766, decode.d7.loss_cls: 0.6691, decode.d7.loss_mask: 0.6763, decode.d7.loss_dice: 0.9843, decode.d8.loss_cls: 0.6662, decode.d8.loss_mask: 0.6791, decode.d8.loss_dice: 0.9805, loss: 25.5850 2022-04-30 17:23:43,962 - mmseg - INFO - Iter [3100/80000] lr: 1.380e-06, eta: 1 day, 16:44:07, time: 1.888, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6851, decode.loss_mask: 0.6742, decode.loss_dice: 0.9720, decode.d0.loss_cls: 2.3177, decode.d0.loss_mask: 0.7260, decode.d0.loss_dice: 1.1434, decode.d1.loss_cls: 0.8244, decode.d1.loss_mask: 0.7161, decode.d1.loss_dice: 1.0712, decode.d2.loss_cls: 0.7486, decode.d2.loss_mask: 0.6977, decode.d2.loss_dice: 1.0178, decode.d3.loss_cls: 0.7199, decode.d3.loss_mask: 0.6848, decode.d3.loss_dice: 0.9970, decode.d4.loss_cls: 0.7004, decode.d4.loss_mask: 0.6842, decode.d4.loss_dice: 0.9967, decode.d5.loss_cls: 0.6942, decode.d5.loss_mask: 0.6871, decode.d5.loss_dice: 0.9808, decode.d6.loss_cls: 0.6923, decode.d6.loss_mask: 0.6802, decode.d6.loss_dice: 0.9721, decode.d7.loss_cls: 0.6891, decode.d7.loss_mask: 0.6774, decode.d7.loss_dice: 0.9754, decode.d8.loss_cls: 0.6861, decode.d8.loss_mask: 0.6737, decode.d8.loss_dice: 0.9736, loss: 25.7591 2022-04-30 17:25:17,638 - mmseg - INFO - Iter [3150/80000] lr: 1.379e-06, eta: 1 day, 16:41:52, time: 1.875, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6939, decode.loss_mask: 0.6923, decode.loss_dice: 0.9946, decode.d0.loss_cls: 2.2847, decode.d0.loss_mask: 0.7339, decode.d0.loss_dice: 1.1746, decode.d1.loss_cls: 0.8297, decode.d1.loss_mask: 0.7247, decode.d1.loss_dice: 1.0867, decode.d2.loss_cls: 0.7473, decode.d2.loss_mask: 0.7095, decode.d2.loss_dice: 1.0340, decode.d3.loss_cls: 0.7214, decode.d3.loss_mask: 0.6985, decode.d3.loss_dice: 1.0118, decode.d4.loss_cls: 0.7112, decode.d4.loss_mask: 0.7003, decode.d4.loss_dice: 1.0129, decode.d5.loss_cls: 0.6982, decode.d5.loss_mask: 0.6932, decode.d5.loss_dice: 1.0049, decode.d6.loss_cls: 0.6978, decode.d6.loss_mask: 0.6918, decode.d6.loss_dice: 0.9933, decode.d7.loss_cls: 0.6955, decode.d7.loss_mask: 0.6914, decode.d7.loss_dice: 0.9952, decode.d8.loss_cls: 0.6929, decode.d8.loss_mask: 0.6929, decode.d8.loss_dice: 0.9949, loss: 26.1040 2022-04-30 17:26:51,953 - mmseg - INFO - Iter [3200/80000] lr: 1.378e-06, eta: 1 day, 16:39:52, time: 1.886, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6530, decode.loss_mask: 0.6842, decode.loss_dice: 0.9523, decode.d0.loss_cls: 2.2093, decode.d0.loss_mask: 0.7112, decode.d0.loss_dice: 1.1150, decode.d1.loss_cls: 0.7802, decode.d1.loss_mask: 0.7092, decode.d1.loss_dice: 1.0510, decode.d2.loss_cls: 0.7033, decode.d2.loss_mask: 0.6884, decode.d2.loss_dice: 0.9927, decode.d3.loss_cls: 0.6776, decode.d3.loss_mask: 0.6838, decode.d3.loss_dice: 0.9735, decode.d4.loss_cls: 0.6679, decode.d4.loss_mask: 0.6874, decode.d4.loss_dice: 0.9707, decode.d5.loss_cls: 0.6668, decode.d5.loss_mask: 0.6830, decode.d5.loss_dice: 0.9661, decode.d6.loss_cls: 0.6602, decode.d6.loss_mask: 0.6791, decode.d6.loss_dice: 0.9579, decode.d7.loss_cls: 0.6618, decode.d7.loss_mask: 0.6786, decode.d7.loss_dice: 0.9534, decode.d8.loss_cls: 0.6536, decode.d8.loss_mask: 0.6801, decode.d8.loss_dice: 0.9511, loss: 25.1026 2022-04-30 17:28:26,998 - mmseg - INFO - Iter [3250/80000] lr: 1.377e-06, eta: 1 day, 16:38:10, time: 1.901, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6948, decode.loss_mask: 0.6799, decode.loss_dice: 0.9696, decode.d0.loss_cls: 2.2158, decode.d0.loss_mask: 0.7227, decode.d0.loss_dice: 1.1607, decode.d1.loss_cls: 0.8329, decode.d1.loss_mask: 0.7116, decode.d1.loss_dice: 1.0704, decode.d2.loss_cls: 0.7567, decode.d2.loss_mask: 0.6911, decode.d2.loss_dice: 1.0141, decode.d3.loss_cls: 0.7285, decode.d3.loss_mask: 0.6827, decode.d3.loss_dice: 0.9916, decode.d4.loss_cls: 0.7175, decode.d4.loss_mask: 0.6826, decode.d4.loss_dice: 0.9831, decode.d5.loss_cls: 0.7092, decode.d5.loss_mask: 0.6795, decode.d5.loss_dice: 0.9757, decode.d6.loss_cls: 0.7056, decode.d6.loss_mask: 0.6784, decode.d6.loss_dice: 0.9667, decode.d7.loss_cls: 0.6967, decode.d7.loss_mask: 0.6777, decode.d7.loss_dice: 0.9726, decode.d8.loss_cls: 0.6942, decode.d8.loss_mask: 0.6799, decode.d8.loss_dice: 0.9638, loss: 25.7062 2022-04-30 17:30:03,051 - mmseg - INFO - Iter [3300/80000] lr: 1.377e-06, eta: 1 day, 16:36:52, time: 1.921, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6713, decode.loss_mask: 0.7204, decode.loss_dice: 0.9963, decode.d0.loss_cls: 2.2076, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.1715, decode.d1.loss_cls: 0.7922, decode.d1.loss_mask: 0.7630, decode.d1.loss_dice: 1.0967, decode.d2.loss_cls: 0.7355, decode.d2.loss_mask: 0.7345, decode.d2.loss_dice: 1.0440, decode.d3.loss_cls: 0.6995, decode.d3.loss_mask: 0.7246, decode.d3.loss_dice: 1.0236, decode.d4.loss_cls: 0.6873, decode.d4.loss_mask: 0.7239, decode.d4.loss_dice: 1.0291, decode.d5.loss_cls: 0.6809, decode.d5.loss_mask: 0.7240, decode.d5.loss_dice: 1.0186, decode.d6.loss_cls: 0.6755, decode.d6.loss_mask: 0.7228, decode.d6.loss_dice: 1.0059, decode.d7.loss_cls: 0.6694, decode.d7.loss_mask: 0.7237, decode.d7.loss_dice: 1.0052, decode.d8.loss_cls: 0.6693, decode.d8.loss_mask: 0.7227, decode.d8.loss_dice: 1.0009, loss: 26.2041 2022-04-30 17:31:38,322 - mmseg - INFO - Iter [3350/80000] lr: 1.376e-06, eta: 1 day, 16:35:17, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6754, decode.loss_mask: 0.6744, decode.loss_dice: 0.9615, decode.d0.loss_cls: 2.1856, decode.d0.loss_mask: 0.7159, decode.d0.loss_dice: 1.1373, decode.d1.loss_cls: 0.8047, decode.d1.loss_mask: 0.7122, decode.d1.loss_dice: 1.0592, decode.d2.loss_cls: 0.7373, decode.d2.loss_mask: 0.6861, decode.d2.loss_dice: 1.0046, decode.d3.loss_cls: 0.7100, decode.d3.loss_mask: 0.6834, decode.d3.loss_dice: 0.9841, decode.d4.loss_cls: 0.6954, decode.d4.loss_mask: 0.6799, decode.d4.loss_dice: 0.9771, decode.d5.loss_cls: 0.6942, decode.d5.loss_mask: 0.6749, decode.d5.loss_dice: 0.9732, decode.d6.loss_cls: 0.6791, decode.d6.loss_mask: 0.6769, decode.d6.loss_dice: 0.9560, decode.d7.loss_cls: 0.6782, decode.d7.loss_mask: 0.6725, decode.d7.loss_dice: 0.9580, decode.d8.loss_cls: 0.6762, decode.d8.loss_mask: 0.6705, decode.d8.loss_dice: 0.9584, loss: 25.3522 2022-04-30 17:33:14,114 - mmseg - INFO - Iter [3400/80000] lr: 1.375e-06, eta: 1 day, 16:33:51, time: 1.915, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6602, decode.loss_mask: 0.6874, decode.loss_dice: 0.9680, decode.d0.loss_cls: 2.1323, decode.d0.loss_mask: 0.7259, decode.d0.loss_dice: 1.1336, decode.d1.loss_cls: 0.7842, decode.d1.loss_mask: 0.7233, decode.d1.loss_dice: 1.0560, decode.d2.loss_cls: 0.7188, decode.d2.loss_mask: 0.6970, decode.d2.loss_dice: 1.0080, decode.d3.loss_cls: 0.6962, decode.d3.loss_mask: 0.6938, decode.d3.loss_dice: 0.9861, decode.d4.loss_cls: 0.6871, decode.d4.loss_mask: 0.6918, decode.d4.loss_dice: 0.9822, decode.d5.loss_cls: 0.6815, decode.d5.loss_mask: 0.6876, decode.d5.loss_dice: 0.9760, decode.d6.loss_cls: 0.6674, decode.d6.loss_mask: 0.6864, decode.d6.loss_dice: 0.9726, decode.d7.loss_cls: 0.6693, decode.d7.loss_mask: 0.6819, decode.d7.loss_dice: 0.9699, decode.d8.loss_cls: 0.6659, decode.d8.loss_mask: 0.6835, decode.d8.loss_dice: 0.9669, loss: 25.3409 2022-04-30 17:34:49,724 - mmseg - INFO - Iter [3450/80000] lr: 1.374e-06, eta: 1 day, 16:32:24, time: 1.914, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6882, decode.loss_mask: 0.6995, decode.loss_dice: 0.9969, decode.d0.loss_cls: 2.1601, decode.d0.loss_mask: 0.7395, decode.d0.loss_dice: 1.1681, decode.d1.loss_cls: 0.8325, decode.d1.loss_mask: 0.7197, decode.d1.loss_dice: 1.0875, decode.d2.loss_cls: 0.7506, decode.d2.loss_mask: 0.7073, decode.d2.loss_dice: 1.0429, decode.d3.loss_cls: 0.7264, decode.d3.loss_mask: 0.6931, decode.d3.loss_dice: 1.0243, decode.d4.loss_cls: 0.7102, decode.d4.loss_mask: 0.7001, decode.d4.loss_dice: 1.0211, decode.d5.loss_cls: 0.7026, decode.d5.loss_mask: 0.6993, decode.d5.loss_dice: 1.0148, decode.d6.loss_cls: 0.6815, decode.d6.loss_mask: 0.7002, decode.d6.loss_dice: 1.0081, decode.d7.loss_cls: 0.6813, decode.d7.loss_mask: 0.6996, decode.d7.loss_dice: 1.0053, decode.d8.loss_cls: 0.6899, decode.d8.loss_mask: 0.6971, decode.d8.loss_dice: 0.9954, loss: 26.0428 2022-04-30 17:36:26,593 - mmseg - INFO - Iter [3500/80000] lr: 1.373e-06, eta: 1 day, 16:31:21, time: 1.936, data_time: 0.013, memory: 64716, decode.loss_cls: 0.6643, decode.loss_mask: 0.7126, decode.loss_dice: 0.9909, decode.d0.loss_cls: 2.1309, decode.d0.loss_mask: 0.7444, decode.d0.loss_dice: 1.1726, decode.d1.loss_cls: 0.7890, decode.d1.loss_mask: 0.7428, decode.d1.loss_dice: 1.0890, decode.d2.loss_cls: 0.7207, decode.d2.loss_mask: 0.7191, decode.d2.loss_dice: 1.0302, decode.d3.loss_cls: 0.6901, decode.d3.loss_mask: 0.7181, decode.d3.loss_dice: 1.0036, decode.d4.loss_cls: 0.6851, decode.d4.loss_mask: 0.7138, decode.d4.loss_dice: 0.9957, decode.d5.loss_cls: 0.6803, decode.d5.loss_mask: 0.7095, decode.d5.loss_dice: 0.9988, decode.d6.loss_cls: 0.6757, decode.d6.loss_mask: 0.7127, decode.d6.loss_dice: 0.9887, decode.d7.loss_cls: 0.6662, decode.d7.loss_mask: 0.7156, decode.d7.loss_dice: 0.9936, decode.d8.loss_cls: 0.6645, decode.d8.loss_mask: 0.7145, decode.d8.loss_dice: 0.9964, loss: 25.8294 2022-04-30 17:38:01,411 - mmseg - INFO - Iter [3550/80000] lr: 1.372e-06, eta: 1 day, 16:29:34, time: 1.896, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6524, decode.loss_mask: 0.6999, decode.loss_dice: 1.0024, decode.d0.loss_cls: 2.1013, decode.d0.loss_mask: 0.7367, decode.d0.loss_dice: 1.1589, decode.d1.loss_cls: 0.7784, decode.d1.loss_mask: 0.7297, decode.d1.loss_dice: 1.0892, decode.d2.loss_cls: 0.7105, decode.d2.loss_mask: 0.7115, decode.d2.loss_dice: 1.0336, decode.d3.loss_cls: 0.6865, decode.d3.loss_mask: 0.7086, decode.d3.loss_dice: 1.0157, decode.d4.loss_cls: 0.6728, decode.d4.loss_mask: 0.7069, decode.d4.loss_dice: 1.0174, decode.d5.loss_cls: 0.6664, decode.d5.loss_mask: 0.7012, decode.d5.loss_dice: 1.0140, decode.d6.loss_cls: 0.6569, decode.d6.loss_mask: 0.6964, decode.d6.loss_dice: 0.9956, decode.d7.loss_cls: 0.6487, decode.d7.loss_mask: 0.7030, decode.d7.loss_dice: 1.0011, decode.d8.loss_cls: 0.6448, decode.d8.loss_mask: 0.7024, decode.d8.loss_dice: 1.0035, loss: 25.6465 2022-04-30 17:39:36,808 - mmseg - INFO - Iter [3600/80000] lr: 1.371e-06, eta: 1 day, 16:28:00, time: 1.908, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6723, decode.loss_mask: 0.6925, decode.loss_dice: 0.9789, decode.d0.loss_cls: 2.1138, decode.d0.loss_mask: 0.7267, decode.d0.loss_dice: 1.1418, decode.d1.loss_cls: 0.8132, decode.d1.loss_mask: 0.7197, decode.d1.loss_dice: 1.0560, decode.d2.loss_cls: 0.7400, decode.d2.loss_mask: 0.7059, decode.d2.loss_dice: 1.0176, decode.d3.loss_cls: 0.7157, decode.d3.loss_mask: 0.6940, decode.d3.loss_dice: 0.9983, decode.d4.loss_cls: 0.7017, decode.d4.loss_mask: 0.6954, decode.d4.loss_dice: 0.9973, decode.d5.loss_cls: 0.6878, decode.d5.loss_mask: 0.6953, decode.d5.loss_dice: 0.9866, decode.d6.loss_cls: 0.6799, decode.d6.loss_mask: 0.6889, decode.d6.loss_dice: 0.9813, decode.d7.loss_cls: 0.6754, decode.d7.loss_mask: 0.6918, decode.d7.loss_dice: 0.9837, decode.d8.loss_cls: 0.6730, decode.d8.loss_mask: 0.6923, decode.d8.loss_dice: 0.9875, loss: 25.6045 2022-04-30 17:41:11,430 - mmseg - INFO - Iter [3650/80000] lr: 1.370e-06, eta: 1 day, 16:26:09, time: 1.892, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6701, decode.loss_mask: 0.6911, decode.loss_dice: 0.9664, decode.d0.loss_cls: 2.0667, decode.d0.loss_mask: 0.7419, decode.d0.loss_dice: 1.1525, decode.d1.loss_cls: 0.7907, decode.d1.loss_mask: 0.7256, decode.d1.loss_dice: 1.0721, decode.d2.loss_cls: 0.7195, decode.d2.loss_mask: 0.7022, decode.d2.loss_dice: 1.0295, decode.d3.loss_cls: 0.7006, decode.d3.loss_mask: 0.7032, decode.d3.loss_dice: 0.9994, decode.d4.loss_cls: 0.6860, decode.d4.loss_mask: 0.7014, decode.d4.loss_dice: 0.9954, decode.d5.loss_cls: 0.6755, decode.d5.loss_mask: 0.6993, decode.d5.loss_dice: 0.9935, decode.d6.loss_cls: 0.6692, decode.d6.loss_mask: 0.6942, decode.d6.loss_dice: 0.9763, decode.d7.loss_cls: 0.6730, decode.d7.loss_mask: 0.6910, decode.d7.loss_dice: 0.9764, decode.d8.loss_cls: 0.6650, decode.d8.loss_mask: 0.6928, decode.d8.loss_dice: 0.9749, loss: 25.4952 2022-04-30 17:42:47,274 - mmseg - INFO - Iter [3700/80000] lr: 1.369e-06, eta: 1 day, 16:24:45, time: 1.918, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6218, decode.loss_mask: 0.6934, decode.loss_dice: 0.9709, decode.d0.loss_cls: 2.0499, decode.d0.loss_mask: 0.7309, decode.d0.loss_dice: 1.1320, decode.d1.loss_cls: 0.7491, decode.d1.loss_mask: 0.7180, decode.d1.loss_dice: 1.0563, decode.d2.loss_cls: 0.6743, decode.d2.loss_mask: 0.7056, decode.d2.loss_dice: 1.0138, decode.d3.loss_cls: 0.6505, decode.d3.loss_mask: 0.7003, decode.d3.loss_dice: 0.9847, decode.d4.loss_cls: 0.6392, decode.d4.loss_mask: 0.6986, decode.d4.loss_dice: 0.9920, decode.d5.loss_cls: 0.6357, decode.d5.loss_mask: 0.6952, decode.d5.loss_dice: 0.9803, decode.d6.loss_cls: 0.6282, decode.d6.loss_mask: 0.6902, decode.d6.loss_dice: 0.9644, decode.d7.loss_cls: 0.6275, decode.d7.loss_mask: 0.6919, decode.d7.loss_dice: 0.9726, decode.d8.loss_cls: 0.6271, decode.d8.loss_mask: 0.6947, decode.d8.loss_dice: 0.9682, loss: 24.9575 2022-04-30 17:44:22,178 - mmseg - INFO - Iter [3750/80000] lr: 1.369e-06, eta: 1 day, 16:23:01, time: 1.898, data_time: 0.014, memory: 64716, decode.loss_cls: 0.6514, decode.loss_mask: 0.6911, decode.loss_dice: 0.9621, decode.d0.loss_cls: 2.0035, decode.d0.loss_mask: 0.7296, decode.d0.loss_dice: 1.1212, decode.d1.loss_cls: 0.7579, decode.d1.loss_mask: 0.7234, decode.d1.loss_dice: 1.0496, decode.d2.loss_cls: 0.6944, decode.d2.loss_mask: 0.7035, decode.d2.loss_dice: 0.9930, decode.d3.loss_cls: 0.6761, decode.d3.loss_mask: 0.6979, decode.d3.loss_dice: 0.9745, decode.d4.loss_cls: 0.6580, decode.d4.loss_mask: 0.6944, decode.d4.loss_dice: 0.9795, decode.d5.loss_cls: 0.6496, decode.d5.loss_mask: 0.6975, decode.d5.loss_dice: 0.9744, decode.d6.loss_cls: 0.6520, decode.d6.loss_mask: 0.6885, decode.d6.loss_dice: 0.9580, decode.d7.loss_cls: 0.6487, decode.d7.loss_mask: 0.6901, decode.d7.loss_dice: 0.9662, decode.d8.loss_cls: 0.6532, decode.d8.loss_mask: 0.6900, decode.d8.loss_dice: 0.9599, loss: 24.9892 2022-04-30 17:45:58,990 - mmseg - INFO - Iter [3800/80000] lr: 1.368e-06, eta: 1 day, 16:21:56, time: 1.937, data_time: 0.065, memory: 64716, decode.loss_cls: 0.6711, decode.loss_mask: 0.6775, decode.loss_dice: 0.9745, decode.d0.loss_cls: 2.0685, decode.d0.loss_mask: 0.7108, decode.d0.loss_dice: 1.1398, decode.d1.loss_cls: 0.7728, decode.d1.loss_mask: 0.7131, decode.d1.loss_dice: 1.0602, decode.d2.loss_cls: 0.7152, decode.d2.loss_mask: 0.6889, decode.d2.loss_dice: 1.0056, decode.d3.loss_cls: 0.7009, decode.d3.loss_mask: 0.6768, decode.d3.loss_dice: 0.9770, decode.d4.loss_cls: 0.6840, decode.d4.loss_mask: 0.6762, decode.d4.loss_dice: 0.9859, decode.d5.loss_cls: 0.6777, decode.d5.loss_mask: 0.6778, decode.d5.loss_dice: 0.9809, decode.d6.loss_cls: 0.6768, decode.d6.loss_mask: 0.6703, decode.d6.loss_dice: 0.9692, decode.d7.loss_cls: 0.6731, decode.d7.loss_mask: 0.6773, decode.d7.loss_dice: 0.9737, decode.d8.loss_cls: 0.6752, decode.d8.loss_mask: 0.6763, decode.d8.loss_dice: 0.9727, loss: 25.1997 2022-04-30 17:47:33,542 - mmseg - INFO - Iter [3850/80000] lr: 1.367e-06, eta: 1 day, 16:20:05, time: 1.891, data_time: 0.014, memory: 64716, decode.loss_cls: 0.6347, decode.loss_mask: 0.6781, decode.loss_dice: 0.9715, decode.d0.loss_cls: 2.0127, decode.d0.loss_mask: 0.7259, decode.d0.loss_dice: 1.1332, decode.d1.loss_cls: 0.7554, decode.d1.loss_mask: 0.7172, decode.d1.loss_dice: 1.0686, decode.d2.loss_cls: 0.7016, decode.d2.loss_mask: 0.7005, decode.d2.loss_dice: 1.0068, decode.d3.loss_cls: 0.6745, decode.d3.loss_mask: 0.6862, decode.d3.loss_dice: 0.9867, decode.d4.loss_cls: 0.6558, decode.d4.loss_mask: 0.6838, decode.d4.loss_dice: 0.9842, decode.d5.loss_cls: 0.6533, decode.d5.loss_mask: 0.6866, decode.d5.loss_dice: 0.9867, decode.d6.loss_cls: 0.6471, decode.d6.loss_mask: 0.6840, decode.d6.loss_dice: 0.9743, decode.d7.loss_cls: 0.6347, decode.d7.loss_mask: 0.6834, decode.d7.loss_dice: 0.9735, decode.d8.loss_cls: 0.6334, decode.d8.loss_mask: 0.6826, decode.d8.loss_dice: 0.9776, loss: 24.9945 2022-04-30 17:49:09,047 - mmseg - INFO - Iter [3900/80000] lr: 1.366e-06, eta: 1 day, 16:18:31, time: 1.909, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6520, decode.loss_mask: 0.6871, decode.loss_dice: 0.9898, decode.d0.loss_cls: 2.0208, decode.d0.loss_mask: 0.7302, decode.d0.loss_dice: 1.1738, decode.d1.loss_cls: 0.7896, decode.d1.loss_mask: 0.7161, decode.d1.loss_dice: 1.0874, decode.d2.loss_cls: 0.7098, decode.d2.loss_mask: 0.7017, decode.d2.loss_dice: 1.0318, decode.d3.loss_cls: 0.6850, decode.d3.loss_mask: 0.6952, decode.d3.loss_dice: 1.0068, decode.d4.loss_cls: 0.6755, decode.d4.loss_mask: 0.6919, decode.d4.loss_dice: 1.0107, decode.d5.loss_cls: 0.6691, decode.d5.loss_mask: 0.6827, decode.d5.loss_dice: 1.0033, decode.d6.loss_cls: 0.6604, decode.d6.loss_mask: 0.6813, decode.d6.loss_dice: 0.9825, decode.d7.loss_cls: 0.6555, decode.d7.loss_mask: 0.6805, decode.d7.loss_dice: 0.9942, decode.d8.loss_cls: 0.6565, decode.d8.loss_mask: 0.6830, decode.d8.loss_dice: 0.9952, loss: 25.3995 2022-04-30 17:50:43,854 - mmseg - INFO - Iter [3950/80000] lr: 1.365e-06, eta: 1 day, 16:16:46, time: 1.896, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6415, decode.loss_mask: 0.6738, decode.loss_dice: 0.9519, decode.d0.loss_cls: 1.9936, decode.d0.loss_mask: 0.7132, decode.d0.loss_dice: 1.1244, decode.d1.loss_cls: 0.7549, decode.d1.loss_mask: 0.7083, decode.d1.loss_dice: 1.0483, decode.d2.loss_cls: 0.6889, decode.d2.loss_mask: 0.6875, decode.d2.loss_dice: 0.9946, decode.d3.loss_cls: 0.6606, decode.d3.loss_mask: 0.6809, decode.d3.loss_dice: 0.9655, decode.d4.loss_cls: 0.6516, decode.d4.loss_mask: 0.6800, decode.d4.loss_dice: 0.9723, decode.d5.loss_cls: 0.6483, decode.d5.loss_mask: 0.6782, decode.d5.loss_dice: 0.9708, decode.d6.loss_cls: 0.6389, decode.d6.loss_mask: 0.6770, decode.d6.loss_dice: 0.9588, decode.d7.loss_cls: 0.6377, decode.d7.loss_mask: 0.6735, decode.d7.loss_dice: 0.9605, decode.d8.loss_cls: 0.6390, decode.d8.loss_mask: 0.6733, decode.d8.loss_dice: 0.9589, loss: 24.7068 2022-04-30 17:52:18,024 - mmseg - INFO - Saving checkpoint at 4000 iterations 2022-04-30 17:52:51,447 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 17:52:51,461 - mmseg - INFO - Iter [4000/80000] lr: 1.364e-06, eta: 1 day, 16:25:20, time: 2.548, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6245, decode.loss_mask: 0.6816, decode.loss_dice: 0.9516, decode.d0.loss_cls: 1.9596, decode.d0.loss_mask: 0.7226, decode.d0.loss_dice: 1.1061, decode.d1.loss_cls: 0.7449, decode.d1.loss_mask: 0.7082, decode.d1.loss_dice: 1.0292, decode.d2.loss_cls: 0.6703, decode.d2.loss_mask: 0.6934, decode.d2.loss_dice: 0.9981, decode.d3.loss_cls: 0.6491, decode.d3.loss_mask: 0.6850, decode.d3.loss_dice: 0.9679, decode.d4.loss_cls: 0.6318, decode.d4.loss_mask: 0.6905, decode.d4.loss_dice: 0.9730, decode.d5.loss_cls: 0.6298, decode.d5.loss_mask: 0.6836, decode.d5.loss_dice: 0.9625, decode.d6.loss_cls: 0.6267, decode.d6.loss_mask: 0.6808, decode.d6.loss_dice: 0.9626, decode.d7.loss_cls: 0.6240, decode.d7.loss_mask: 0.6828, decode.d7.loss_dice: 0.9700, decode.d8.loss_cls: 0.6169, decode.d8.loss_mask: 0.6849, decode.d8.loss_dice: 0.9617, loss: 24.5737 2022-04-30 17:54:28,323 - mmseg - INFO - Iter [4050/80000] lr: 1.363e-06, eta: 1 day, 16:24:10, time: 1.942, data_time: 0.019, memory: 64716, decode.loss_cls: 0.6024, decode.loss_mask: 0.7186, decode.loss_dice: 0.9612, decode.d0.loss_cls: 1.9592, decode.d0.loss_mask: 0.7542, decode.d0.loss_dice: 1.1214, decode.d1.loss_cls: 0.7254, decode.d1.loss_mask: 0.7399, decode.d1.loss_dice: 1.0372, decode.d2.loss_cls: 0.6637, decode.d2.loss_mask: 0.7181, decode.d2.loss_dice: 1.0081, decode.d3.loss_cls: 0.6448, decode.d3.loss_mask: 0.7183, decode.d3.loss_dice: 0.9719, decode.d4.loss_cls: 0.6324, decode.d4.loss_mask: 0.7167, decode.d4.loss_dice: 0.9764, decode.d5.loss_cls: 0.6208, decode.d5.loss_mask: 0.7141, decode.d5.loss_dice: 0.9685, decode.d6.loss_cls: 0.6095, decode.d6.loss_mask: 0.7115, decode.d6.loss_dice: 0.9580, decode.d7.loss_cls: 0.6032, decode.d7.loss_mask: 0.7160, decode.d7.loss_dice: 0.9615, decode.d8.loss_cls: 0.6039, decode.d8.loss_mask: 0.7124, decode.d8.loss_dice: 0.9673, loss: 24.8168 2022-04-30 17:56:03,735 - mmseg - INFO - Iter [4100/80000] lr: 1.362e-06, eta: 1 day, 16:22:27, time: 1.907, data_time: 0.014, memory: 64716, decode.loss_cls: 0.6271, decode.loss_mask: 0.6930, decode.loss_dice: 0.9375, decode.d0.loss_cls: 1.9192, decode.d0.loss_mask: 0.7356, decode.d0.loss_dice: 1.0960, decode.d1.loss_cls: 0.7291, decode.d1.loss_mask: 0.7213, decode.d1.loss_dice: 1.0252, decode.d2.loss_cls: 0.6796, decode.d2.loss_mask: 0.6962, decode.d2.loss_dice: 0.9820, decode.d3.loss_cls: 0.6487, decode.d3.loss_mask: 0.6948, decode.d3.loss_dice: 0.9531, decode.d4.loss_cls: 0.6476, decode.d4.loss_mask: 0.6939, decode.d4.loss_dice: 0.9591, decode.d5.loss_cls: 0.6374, decode.d5.loss_mask: 0.6937, decode.d5.loss_dice: 0.9596, decode.d6.loss_cls: 0.6358, decode.d6.loss_mask: 0.6865, decode.d6.loss_dice: 0.9454, decode.d7.loss_cls: 0.6287, decode.d7.loss_mask: 0.6926, decode.d7.loss_dice: 0.9484, decode.d8.loss_cls: 0.6288, decode.d8.loss_mask: 0.6933, decode.d8.loss_dice: 0.9477, loss: 24.5369 2022-04-30 17:57:40,348 - mmseg - INFO - Iter [4150/80000] lr: 1.361e-06, eta: 1 day, 16:21:08, time: 1.933, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6327, decode.loss_mask: 0.6679, decode.loss_dice: 0.9717, decode.d0.loss_cls: 1.9682, decode.d0.loss_mask: 0.7138, decode.d0.loss_dice: 1.1388, decode.d1.loss_cls: 0.7529, decode.d1.loss_mask: 0.6989, decode.d1.loss_dice: 1.0639, decode.d2.loss_cls: 0.6859, decode.d2.loss_mask: 0.6850, decode.d2.loss_dice: 1.0133, decode.d3.loss_cls: 0.6540, decode.d3.loss_mask: 0.6756, decode.d3.loss_dice: 0.9909, decode.d4.loss_cls: 0.6494, decode.d4.loss_mask: 0.6782, decode.d4.loss_dice: 0.9925, decode.d5.loss_cls: 0.6354, decode.d5.loss_mask: 0.6757, decode.d5.loss_dice: 0.9843, decode.d6.loss_cls: 0.6378, decode.d6.loss_mask: 0.6701, decode.d6.loss_dice: 0.9763, decode.d7.loss_cls: 0.6377, decode.d7.loss_mask: 0.6694, decode.d7.loss_dice: 0.9712, decode.d8.loss_cls: 0.6339, decode.d8.loss_mask: 0.6709, decode.d8.loss_dice: 0.9734, loss: 24.7699 2022-04-30 17:59:17,213 - mmseg - INFO - Iter [4200/80000] lr: 1.360e-06, eta: 1 day, 16:19:51, time: 1.936, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6612, decode.loss_mask: 0.6493, decode.loss_dice: 0.9460, decode.d0.loss_cls: 1.9670, decode.d0.loss_mask: 0.6883, decode.d0.loss_dice: 1.1386, decode.d1.loss_cls: 0.7702, decode.d1.loss_mask: 0.6808, decode.d1.loss_dice: 1.0375, decode.d2.loss_cls: 0.7159, decode.d2.loss_mask: 0.6678, decode.d2.loss_dice: 0.9861, decode.d3.loss_cls: 0.6905, decode.d3.loss_mask: 0.6595, decode.d3.loss_dice: 0.9604, decode.d4.loss_cls: 0.6814, decode.d4.loss_mask: 0.6578, decode.d4.loss_dice: 0.9595, decode.d5.loss_cls: 0.6713, decode.d5.loss_mask: 0.6530, decode.d5.loss_dice: 0.9556, decode.d6.loss_cls: 0.6645, decode.d6.loss_mask: 0.6520, decode.d6.loss_dice: 0.9485, decode.d7.loss_cls: 0.6574, decode.d7.loss_mask: 0.6487, decode.d7.loss_dice: 0.9544, decode.d8.loss_cls: 0.6613, decode.d8.loss_mask: 0.6527, decode.d8.loss_dice: 0.9520, loss: 24.5893 2022-04-30 18:00:54,054 - mmseg - INFO - Iter [4250/80000] lr: 1.360e-06, eta: 1 day, 16:18:35, time: 1.938, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6417, decode.loss_mask: 0.6737, decode.loss_dice: 0.9372, decode.d0.loss_cls: 1.9703, decode.d0.loss_mask: 0.7210, decode.d0.loss_dice: 1.1119, decode.d1.loss_cls: 0.7515, decode.d1.loss_mask: 0.7166, decode.d1.loss_dice: 1.0392, decode.d2.loss_cls: 0.6905, decode.d2.loss_mask: 0.6914, decode.d2.loss_dice: 0.9856, decode.d3.loss_cls: 0.6561, decode.d3.loss_mask: 0.6857, decode.d3.loss_dice: 0.9695, decode.d4.loss_cls: 0.6608, decode.d4.loss_mask: 0.6739, decode.d4.loss_dice: 0.9588, decode.d5.loss_cls: 0.6443, decode.d5.loss_mask: 0.6709, decode.d5.loss_dice: 0.9535, decode.d6.loss_cls: 0.6426, decode.d6.loss_mask: 0.6677, decode.d6.loss_dice: 0.9359, decode.d7.loss_cls: 0.6359, decode.d7.loss_mask: 0.6733, decode.d7.loss_dice: 0.9441, decode.d8.loss_cls: 0.6420, decode.d8.loss_mask: 0.6707, decode.d8.loss_dice: 0.9455, loss: 24.5619 2022-04-30 18:02:28,413 - mmseg - INFO - Iter [4300/80000] lr: 1.359e-06, eta: 1 day, 16:16:33, time: 1.886, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6244, decode.loss_mask: 0.6696, decode.loss_dice: 0.9618, decode.d0.loss_cls: 1.9155, decode.d0.loss_mask: 0.7111, decode.d0.loss_dice: 1.1148, decode.d1.loss_cls: 0.7381, decode.d1.loss_mask: 0.7050, decode.d1.loss_dice: 1.0444, decode.d2.loss_cls: 0.6753, decode.d2.loss_mask: 0.6842, decode.d2.loss_dice: 0.9954, decode.d3.loss_cls: 0.6551, decode.d3.loss_mask: 0.6703, decode.d3.loss_dice: 0.9759, decode.d4.loss_cls: 0.6366, decode.d4.loss_mask: 0.6727, decode.d4.loss_dice: 0.9714, decode.d5.loss_cls: 0.6394, decode.d5.loss_mask: 0.6682, decode.d5.loss_dice: 0.9645, decode.d6.loss_cls: 0.6306, decode.d6.loss_mask: 0.6679, decode.d6.loss_dice: 0.9560, decode.d7.loss_cls: 0.6285, decode.d7.loss_mask: 0.6689, decode.d7.loss_dice: 0.9583, decode.d8.loss_cls: 0.6220, decode.d8.loss_mask: 0.6753, decode.d8.loss_dice: 0.9632, loss: 24.4643 2022-04-30 18:04:04,548 - mmseg - INFO - Iter [4350/80000] lr: 1.358e-06, eta: 1 day, 16:15:04, time: 1.923, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6425, decode.loss_mask: 0.6730, decode.loss_dice: 0.9616, decode.d0.loss_cls: 1.9098, decode.d0.loss_mask: 0.7299, decode.d0.loss_dice: 1.1376, decode.d1.loss_cls: 0.7575, decode.d1.loss_mask: 0.7017, decode.d1.loss_dice: 1.0493, decode.d2.loss_cls: 0.6944, decode.d2.loss_mask: 0.6781, decode.d2.loss_dice: 0.9929, decode.d3.loss_cls: 0.6671, decode.d3.loss_mask: 0.6805, decode.d3.loss_dice: 0.9723, decode.d4.loss_cls: 0.6551, decode.d4.loss_mask: 0.6770, decode.d4.loss_dice: 0.9754, decode.d5.loss_cls: 0.6554, decode.d5.loss_mask: 0.6739, decode.d5.loss_dice: 0.9738, decode.d6.loss_cls: 0.6446, decode.d6.loss_mask: 0.6759, decode.d6.loss_dice: 0.9614, decode.d7.loss_cls: 0.6434, decode.d7.loss_mask: 0.6697, decode.d7.loss_dice: 0.9615, decode.d8.loss_cls: 0.6397, decode.d8.loss_mask: 0.6732, decode.d8.loss_dice: 0.9688, loss: 24.6972 2022-04-30 18:05:39,271 - mmseg - INFO - Iter [4400/80000] lr: 1.357e-06, eta: 1 day, 16:13:10, time: 1.894, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6293, decode.loss_mask: 0.6814, decode.loss_dice: 0.9474, decode.d0.loss_cls: 1.9209, decode.d0.loss_mask: 0.7298, decode.d0.loss_dice: 1.1252, decode.d1.loss_cls: 0.7486, decode.d1.loss_mask: 0.7130, decode.d1.loss_dice: 1.0452, decode.d2.loss_cls: 0.6808, decode.d2.loss_mask: 0.6966, decode.d2.loss_dice: 0.9917, decode.d3.loss_cls: 0.6584, decode.d3.loss_mask: 0.6893, decode.d3.loss_dice: 0.9726, decode.d4.loss_cls: 0.6452, decode.d4.loss_mask: 0.6871, decode.d4.loss_dice: 0.9700, decode.d5.loss_cls: 0.6432, decode.d5.loss_mask: 0.6879, decode.d5.loss_dice: 0.9645, decode.d6.loss_cls: 0.6317, decode.d6.loss_mask: 0.6830, decode.d6.loss_dice: 0.9592, decode.d7.loss_cls: 0.6324, decode.d7.loss_mask: 0.6842, decode.d7.loss_dice: 0.9562, decode.d8.loss_cls: 0.6288, decode.d8.loss_mask: 0.6844, decode.d8.loss_dice: 0.9542, loss: 24.6423 2022-04-30 18:07:14,890 - mmseg - INFO - Iter [4450/80000] lr: 1.356e-06, eta: 1 day, 16:11:33, time: 1.914, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6274, decode.loss_mask: 0.6740, decode.loss_dice: 0.9455, decode.d0.loss_cls: 1.8812, decode.d0.loss_mask: 0.7236, decode.d0.loss_dice: 1.1335, decode.d1.loss_cls: 0.7383, decode.d1.loss_mask: 0.7047, decode.d1.loss_dice: 1.0428, decode.d2.loss_cls: 0.6855, decode.d2.loss_mask: 0.6808, decode.d2.loss_dice: 0.9906, decode.d3.loss_cls: 0.6567, decode.d3.loss_mask: 0.6709, decode.d3.loss_dice: 0.9666, decode.d4.loss_cls: 0.6502, decode.d4.loss_mask: 0.6742, decode.d4.loss_dice: 0.9608, decode.d5.loss_cls: 0.6343, decode.d5.loss_mask: 0.6725, decode.d5.loss_dice: 0.9615, decode.d6.loss_cls: 0.6286, decode.d6.loss_mask: 0.6634, decode.d6.loss_dice: 0.9517, decode.d7.loss_cls: 0.6259, decode.d7.loss_mask: 0.6709, decode.d7.loss_dice: 0.9538, decode.d8.loss_cls: 0.6216, decode.d8.loss_mask: 0.6730, decode.d8.loss_dice: 0.9507, loss: 24.4152 2022-04-30 18:08:49,988 - mmseg - INFO - Iter [4500/80000] lr: 1.355e-06, eta: 1 day, 16:09:45, time: 1.901, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6339, decode.loss_mask: 0.6803, decode.loss_dice: 0.9613, decode.d0.loss_cls: 1.8745, decode.d0.loss_mask: 0.7267, decode.d0.loss_dice: 1.1143, decode.d1.loss_cls: 0.7346, decode.d1.loss_mask: 0.7207, decode.d1.loss_dice: 1.0509, decode.d2.loss_cls: 0.6830, decode.d2.loss_mask: 0.6973, decode.d2.loss_dice: 1.0028, decode.d3.loss_cls: 0.6523, decode.d3.loss_mask: 0.6914, decode.d3.loss_dice: 0.9758, decode.d4.loss_cls: 0.6407, decode.d4.loss_mask: 0.6938, decode.d4.loss_dice: 0.9755, decode.d5.loss_cls: 0.6504, decode.d5.loss_mask: 0.6875, decode.d5.loss_dice: 0.9723, decode.d6.loss_cls: 0.6377, decode.d6.loss_mask: 0.6844, decode.d6.loss_dice: 0.9610, decode.d7.loss_cls: 0.6305, decode.d7.loss_mask: 0.6843, decode.d7.loss_dice: 0.9649, decode.d8.loss_cls: 0.6327, decode.d8.loss_mask: 0.6806, decode.d8.loss_dice: 0.9627, loss: 24.6590 2022-04-30 18:10:24,820 - mmseg - INFO - Iter [4550/80000] lr: 1.354e-06, eta: 1 day, 16:07:55, time: 1.898, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6189, decode.loss_mask: 0.7025, decode.loss_dice: 0.9776, decode.d0.loss_cls: 1.8666, decode.d0.loss_mask: 0.7375, decode.d0.loss_dice: 1.1261, decode.d1.loss_cls: 0.7240, decode.d1.loss_mask: 0.7254, decode.d1.loss_dice: 1.0507, decode.d2.loss_cls: 0.6616, decode.d2.loss_mask: 0.7130, decode.d2.loss_dice: 1.0121, decode.d3.loss_cls: 0.6511, decode.d3.loss_mask: 0.7057, decode.d3.loss_dice: 0.9854, decode.d4.loss_cls: 0.6318, decode.d4.loss_mask: 0.7001, decode.d4.loss_dice: 0.9903, decode.d5.loss_cls: 0.6268, decode.d5.loss_mask: 0.7030, decode.d5.loss_dice: 0.9885, decode.d6.loss_cls: 0.6206, decode.d6.loss_mask: 0.6978, decode.d6.loss_dice: 0.9726, decode.d7.loss_cls: 0.6103, decode.d7.loss_mask: 0.7016, decode.d7.loss_dice: 0.9878, decode.d8.loss_cls: 0.6121, decode.d8.loss_mask: 0.7027, decode.d8.loss_dice: 0.9872, loss: 24.7915 2022-04-30 18:12:00,093 - mmseg - INFO - Iter [4600/80000] lr: 1.353e-06, eta: 1 day, 16:06:11, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6163, decode.loss_mask: 0.6620, decode.loss_dice: 0.9561, decode.d0.loss_cls: 1.9211, decode.d0.loss_mask: 0.7164, decode.d0.loss_dice: 1.1217, decode.d1.loss_cls: 0.7263, decode.d1.loss_mask: 0.6986, decode.d1.loss_dice: 1.0415, decode.d2.loss_cls: 0.6656, decode.d2.loss_mask: 0.6758, decode.d2.loss_dice: 0.9886, decode.d3.loss_cls: 0.6479, decode.d3.loss_mask: 0.6698, decode.d3.loss_dice: 0.9690, decode.d4.loss_cls: 0.6377, decode.d4.loss_mask: 0.6709, decode.d4.loss_dice: 0.9694, decode.d5.loss_cls: 0.6286, decode.d5.loss_mask: 0.6625, decode.d5.loss_dice: 0.9703, decode.d6.loss_cls: 0.6163, decode.d6.loss_mask: 0.6640, decode.d6.loss_dice: 0.9547, decode.d7.loss_cls: 0.6190, decode.d7.loss_mask: 0.6662, decode.d7.loss_dice: 0.9596, decode.d8.loss_cls: 0.6188, decode.d8.loss_mask: 0.6615, decode.d8.loss_dice: 0.9606, loss: 24.3367 2022-04-30 18:13:34,214 - mmseg - INFO - Iter [4650/80000] lr: 1.352e-06, eta: 1 day, 16:04:08, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6132, decode.loss_mask: 0.6908, decode.loss_dice: 0.9743, decode.d0.loss_cls: 1.8537, decode.d0.loss_mask: 0.7386, decode.d0.loss_dice: 1.1392, decode.d1.loss_cls: 0.7193, decode.d1.loss_mask: 0.7281, decode.d1.loss_dice: 1.0724, decode.d2.loss_cls: 0.6657, decode.d2.loss_mask: 0.6991, decode.d2.loss_dice: 1.0193, decode.d3.loss_cls: 0.6404, decode.d3.loss_mask: 0.6928, decode.d3.loss_dice: 0.9961, decode.d4.loss_cls: 0.6327, decode.d4.loss_mask: 0.6946, decode.d4.loss_dice: 1.0018, decode.d5.loss_cls: 0.6325, decode.d5.loss_mask: 0.6942, decode.d5.loss_dice: 0.9918, decode.d6.loss_cls: 0.6231, decode.d6.loss_mask: 0.6879, decode.d6.loss_dice: 0.9762, decode.d7.loss_cls: 0.6218, decode.d7.loss_mask: 0.6881, decode.d7.loss_dice: 0.9781, decode.d8.loss_cls: 0.6159, decode.d8.loss_mask: 0.6860, decode.d8.loss_dice: 0.9728, loss: 24.7403 2022-04-30 18:15:09,028 - mmseg - INFO - Iter [4700/80000] lr: 1.351e-06, eta: 1 day, 16:02:19, time: 1.897, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6304, decode.loss_mask: 0.6763, decode.loss_dice: 0.9457, decode.d0.loss_cls: 1.8918, decode.d0.loss_mask: 0.7284, decode.d0.loss_dice: 1.1054, decode.d1.loss_cls: 0.7404, decode.d1.loss_mask: 0.7173, decode.d1.loss_dice: 1.0319, decode.d2.loss_cls: 0.6791, decode.d2.loss_mask: 0.6922, decode.d2.loss_dice: 0.9884, decode.d3.loss_cls: 0.6562, decode.d3.loss_mask: 0.6863, decode.d3.loss_dice: 0.9585, decode.d4.loss_cls: 0.6484, decode.d4.loss_mask: 0.6848, decode.d4.loss_dice: 0.9631, decode.d5.loss_cls: 0.6420, decode.d5.loss_mask: 0.6836, decode.d5.loss_dice: 0.9565, decode.d6.loss_cls: 0.6318, decode.d6.loss_mask: 0.6764, decode.d6.loss_dice: 0.9513, decode.d7.loss_cls: 0.6298, decode.d7.loss_mask: 0.6774, decode.d7.loss_dice: 0.9527, decode.d8.loss_cls: 0.6357, decode.d8.loss_mask: 0.6763, decode.d8.loss_dice: 0.9441, loss: 24.4825 2022-04-30 18:16:44,093 - mmseg - INFO - Iter [4750/80000] lr: 1.351e-06, eta: 1 day, 16:00:32, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6388, decode.loss_mask: 0.6655, decode.loss_dice: 0.9368, decode.d0.loss_cls: 1.8938, decode.d0.loss_mask: 0.7162, decode.d0.loss_dice: 1.1135, decode.d1.loss_cls: 0.7337, decode.d1.loss_mask: 0.6983, decode.d1.loss_dice: 1.0419, decode.d2.loss_cls: 0.6865, decode.d2.loss_mask: 0.6843, decode.d2.loss_dice: 0.9869, decode.d3.loss_cls: 0.6651, decode.d3.loss_mask: 0.6806, decode.d3.loss_dice: 0.9585, decode.d4.loss_cls: 0.6599, decode.d4.loss_mask: 0.6751, decode.d4.loss_dice: 0.9575, decode.d5.loss_cls: 0.6473, decode.d5.loss_mask: 0.6647, decode.d5.loss_dice: 0.9562, decode.d6.loss_cls: 0.6420, decode.d6.loss_mask: 0.6649, decode.d6.loss_dice: 0.9449, decode.d7.loss_cls: 0.6370, decode.d7.loss_mask: 0.6687, decode.d7.loss_dice: 0.9460, decode.d8.loss_cls: 0.6349, decode.d8.loss_mask: 0.6674, decode.d8.loss_dice: 0.9427, loss: 24.4099 2022-04-30 18:18:18,864 - mmseg - INFO - Iter [4800/80000] lr: 1.350e-06, eta: 1 day, 15:58:42, time: 1.895, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6246, decode.loss_mask: 0.6820, decode.loss_dice: 0.9823, decode.d0.loss_cls: 1.8750, decode.d0.loss_mask: 0.7296, decode.d0.loss_dice: 1.1542, decode.d1.loss_cls: 0.7338, decode.d1.loss_mask: 0.7146, decode.d1.loss_dice: 1.0719, decode.d2.loss_cls: 0.6826, decode.d2.loss_mask: 0.6930, decode.d2.loss_dice: 1.0343, decode.d3.loss_cls: 0.6589, decode.d3.loss_mask: 0.6845, decode.d3.loss_dice: 1.0032, decode.d4.loss_cls: 0.6439, decode.d4.loss_mask: 0.6862, decode.d4.loss_dice: 1.0001, decode.d5.loss_cls: 0.6385, decode.d5.loss_mask: 0.6912, decode.d5.loss_dice: 1.0061, decode.d6.loss_cls: 0.6301, decode.d6.loss_mask: 0.6832, decode.d6.loss_dice: 0.9958, decode.d7.loss_cls: 0.6188, decode.d7.loss_mask: 0.6859, decode.d7.loss_dice: 0.9964, decode.d8.loss_cls: 0.6198, decode.d8.loss_mask: 0.6827, decode.d8.loss_dice: 0.9929, loss: 24.8961 2022-04-30 18:19:53,176 - mmseg - INFO - Iter [4850/80000] lr: 1.349e-06, eta: 1 day, 15:56:45, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6097, decode.loss_mask: 0.6759, decode.loss_dice: 0.9623, decode.d0.loss_cls: 1.8325, decode.d0.loss_mask: 0.7186, decode.d0.loss_dice: 1.1150, decode.d1.loss_cls: 0.7167, decode.d1.loss_mask: 0.7028, decode.d1.loss_dice: 1.0496, decode.d2.loss_cls: 0.6675, decode.d2.loss_mask: 0.6863, decode.d2.loss_dice: 0.9957, decode.d3.loss_cls: 0.6469, decode.d3.loss_mask: 0.6776, decode.d3.loss_dice: 0.9743, decode.d4.loss_cls: 0.6346, decode.d4.loss_mask: 0.6784, decode.d4.loss_dice: 0.9743, decode.d5.loss_cls: 0.6261, decode.d5.loss_mask: 0.6754, decode.d5.loss_dice: 0.9721, decode.d6.loss_cls: 0.6208, decode.d6.loss_mask: 0.6705, decode.d6.loss_dice: 0.9618, decode.d7.loss_cls: 0.6197, decode.d7.loss_mask: 0.6731, decode.d7.loss_dice: 0.9555, decode.d8.loss_cls: 0.6153, decode.d8.loss_mask: 0.6754, decode.d8.loss_dice: 0.9613, loss: 24.3458 2022-04-30 18:21:28,070 - mmseg - INFO - Iter [4900/80000] lr: 1.348e-06, eta: 1 day, 15:54:57, time: 1.898, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6496, decode.loss_mask: 0.6718, decode.loss_dice: 0.9734, decode.d0.loss_cls: 1.8951, decode.d0.loss_mask: 0.7300, decode.d0.loss_dice: 1.1464, decode.d1.loss_cls: 0.7435, decode.d1.loss_mask: 0.7163, decode.d1.loss_dice: 1.0692, decode.d2.loss_cls: 0.7005, decode.d2.loss_mask: 0.6888, decode.d2.loss_dice: 1.0231, decode.d3.loss_cls: 0.6747, decode.d3.loss_mask: 0.6804, decode.d3.loss_dice: 0.9919, decode.d4.loss_cls: 0.6665, decode.d4.loss_mask: 0.6793, decode.d4.loss_dice: 0.9912, decode.d5.loss_cls: 0.6594, decode.d5.loss_mask: 0.6752, decode.d5.loss_dice: 0.9837, decode.d6.loss_cls: 0.6560, decode.d6.loss_mask: 0.6734, decode.d6.loss_dice: 0.9742, decode.d7.loss_cls: 0.6520, decode.d7.loss_mask: 0.6752, decode.d7.loss_dice: 0.9793, decode.d8.loss_cls: 0.6505, decode.d8.loss_mask: 0.6711, decode.d8.loss_dice: 0.9734, loss: 24.9148 2022-04-30 18:23:01,996 - mmseg - INFO - Iter [4950/80000] lr: 1.347e-06, eta: 1 day, 15:52:55, time: 1.879, data_time: 0.018, memory: 64716, decode.loss_cls: 0.6516, decode.loss_mask: 0.6779, decode.loss_dice: 0.9918, decode.d0.loss_cls: 1.8648, decode.d0.loss_mask: 0.7285, decode.d0.loss_dice: 1.1774, decode.d1.loss_cls: 0.7593, decode.d1.loss_mask: 0.7126, decode.d1.loss_dice: 1.0916, decode.d2.loss_cls: 0.7088, decode.d2.loss_mask: 0.6888, decode.d2.loss_dice: 1.0408, decode.d3.loss_cls: 0.6662, decode.d3.loss_mask: 0.6884, decode.d3.loss_dice: 1.0186, decode.d4.loss_cls: 0.6642, decode.d4.loss_mask: 0.6831, decode.d4.loss_dice: 1.0176, decode.d5.loss_cls: 0.6633, decode.d5.loss_mask: 0.6809, decode.d5.loss_dice: 1.0047, decode.d6.loss_cls: 0.6519, decode.d6.loss_mask: 0.6808, decode.d6.loss_dice: 0.9964, decode.d7.loss_cls: 0.6446, decode.d7.loss_mask: 0.6778, decode.d7.loss_dice: 1.0069, decode.d8.loss_cls: 0.6462, decode.d8.loss_mask: 0.6771, decode.d8.loss_dice: 0.9982, loss: 25.1608 2022-04-30 18:24:36,772 - mmseg - INFO - Saving checkpoint at 5000 iterations 2022-04-30 18:25:10,644 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 18:25:10,656 - mmseg - INFO - Iter [5000/80000] lr: 1.346e-06, eta: 1 day, 15:59:32, time: 2.570, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6341, decode.loss_mask: 0.6752, decode.loss_dice: 0.9437, decode.d0.loss_cls: 1.9046, decode.d0.loss_mask: 0.7245, decode.d0.loss_dice: 1.1273, decode.d1.loss_cls: 0.7533, decode.d1.loss_mask: 0.7029, decode.d1.loss_dice: 1.0366, decode.d2.loss_cls: 0.6985, decode.d2.loss_mask: 0.6837, decode.d2.loss_dice: 0.9899, decode.d3.loss_cls: 0.6650, decode.d3.loss_mask: 0.6751, decode.d3.loss_dice: 0.9601, decode.d4.loss_cls: 0.6561, decode.d4.loss_mask: 0.6799, decode.d4.loss_dice: 0.9601, decode.d5.loss_cls: 0.6492, decode.d5.loss_mask: 0.6758, decode.d5.loss_dice: 0.9568, decode.d6.loss_cls: 0.6344, decode.d6.loss_mask: 0.6727, decode.d6.loss_dice: 0.9478, decode.d7.loss_cls: 0.6329, decode.d7.loss_mask: 0.6747, decode.d7.loss_dice: 0.9525, decode.d8.loss_cls: 0.6257, decode.d8.loss_mask: 0.6777, decode.d8.loss_dice: 0.9518, loss: 24.5228 2022-04-30 18:26:47,744 - mmseg - INFO - Iter [5050/80000] lr: 1.345e-06, eta: 1 day, 15:58:13, time: 1.942, data_time: 0.019, memory: 64716, decode.loss_cls: 0.6335, decode.loss_mask: 0.6830, decode.loss_dice: 0.9858, decode.d0.loss_cls: 1.8531, decode.d0.loss_mask: 0.7294, decode.d0.loss_dice: 1.1561, decode.d1.loss_cls: 0.7370, decode.d1.loss_mask: 0.7145, decode.d1.loss_dice: 1.0787, decode.d2.loss_cls: 0.6771, decode.d2.loss_mask: 0.6963, decode.d2.loss_dice: 1.0277, decode.d3.loss_cls: 0.6562, decode.d3.loss_mask: 0.6863, decode.d3.loss_dice: 0.9990, decode.d4.loss_cls: 0.6484, decode.d4.loss_mask: 0.6835, decode.d4.loss_dice: 0.9966, decode.d5.loss_cls: 0.6378, decode.d5.loss_mask: 0.6837, decode.d5.loss_dice: 0.9962, decode.d6.loss_cls: 0.6399, decode.d6.loss_mask: 0.6841, decode.d6.loss_dice: 0.9908, decode.d7.loss_cls: 0.6355, decode.d7.loss_mask: 0.6859, decode.d7.loss_dice: 0.9808, decode.d8.loss_cls: 0.6324, decode.d8.loss_mask: 0.6826, decode.d8.loss_dice: 0.9912, loss: 24.8830 2022-04-30 18:28:25,748 - mmseg - INFO - Iter [5100/80000] lr: 1.344e-06, eta: 1 day, 15:57:08, time: 1.962, data_time: 0.069, memory: 64716, decode.loss_cls: 0.6178, decode.loss_mask: 0.6586, decode.loss_dice: 0.9491, decode.d0.loss_cls: 1.8654, decode.d0.loss_mask: 0.6990, decode.d0.loss_dice: 1.1089, decode.d1.loss_cls: 0.7304, decode.d1.loss_mask: 0.6919, decode.d1.loss_dice: 1.0412, decode.d2.loss_cls: 0.6724, decode.d2.loss_mask: 0.6664, decode.d2.loss_dice: 0.9989, decode.d3.loss_cls: 0.6419, decode.d3.loss_mask: 0.6688, decode.d3.loss_dice: 0.9743, decode.d4.loss_cls: 0.6378, decode.d4.loss_mask: 0.6630, decode.d4.loss_dice: 0.9797, decode.d5.loss_cls: 0.6315, decode.d5.loss_mask: 0.6652, decode.d5.loss_dice: 0.9707, decode.d6.loss_cls: 0.6231, decode.d6.loss_mask: 0.6569, decode.d6.loss_dice: 0.9570, decode.d7.loss_cls: 0.6171, decode.d7.loss_mask: 0.6550, decode.d7.loss_dice: 0.9562, decode.d8.loss_cls: 0.6127, decode.d8.loss_mask: 0.6571, decode.d8.loss_dice: 0.9540, loss: 24.2216 2022-04-30 18:30:00,863 - mmseg - INFO - Iter [5150/80000] lr: 1.343e-06, eta: 1 day, 15:55:19, time: 1.903, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6084, decode.loss_mask: 0.6629, decode.loss_dice: 0.9561, decode.d0.loss_cls: 1.8700, decode.d0.loss_mask: 0.7151, decode.d0.loss_dice: 1.1129, decode.d1.loss_cls: 0.7240, decode.d1.loss_mask: 0.7009, decode.d1.loss_dice: 1.0404, decode.d2.loss_cls: 0.6678, decode.d2.loss_mask: 0.6788, decode.d2.loss_dice: 0.9825, decode.d3.loss_cls: 0.6339, decode.d3.loss_mask: 0.6711, decode.d3.loss_dice: 0.9733, decode.d4.loss_cls: 0.6330, decode.d4.loss_mask: 0.6678, decode.d4.loss_dice: 0.9743, decode.d5.loss_cls: 0.6219, decode.d5.loss_mask: 0.6668, decode.d5.loss_dice: 0.9646, decode.d6.loss_cls: 0.6136, decode.d6.loss_mask: 0.6642, decode.d6.loss_dice: 0.9513, decode.d7.loss_cls: 0.6047, decode.d7.loss_mask: 0.6635, decode.d7.loss_dice: 0.9566, decode.d8.loss_cls: 0.6048, decode.d8.loss_mask: 0.6611, decode.d8.loss_dice: 0.9591, loss: 24.2054 2022-04-30 18:31:35,484 - mmseg - INFO - Iter [5200/80000] lr: 1.342e-06, eta: 1 day, 15:53:23, time: 1.892, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5932, decode.loss_mask: 0.6781, decode.loss_dice: 0.9657, decode.d0.loss_cls: 1.7806, decode.d0.loss_mask: 0.7287, decode.d0.loss_dice: 1.1325, decode.d1.loss_cls: 0.6999, decode.d1.loss_mask: 0.7101, decode.d1.loss_dice: 1.0569, decode.d2.loss_cls: 0.6372, decode.d2.loss_mask: 0.6977, decode.d2.loss_dice: 1.0074, decode.d3.loss_cls: 0.6187, decode.d3.loss_mask: 0.6806, decode.d3.loss_dice: 0.9810, decode.d4.loss_cls: 0.6108, decode.d4.loss_mask: 0.6830, decode.d4.loss_dice: 0.9805, decode.d5.loss_cls: 0.6016, decode.d5.loss_mask: 0.6871, decode.d5.loss_dice: 0.9762, decode.d6.loss_cls: 0.5982, decode.d6.loss_mask: 0.6797, decode.d6.loss_dice: 0.9687, decode.d7.loss_cls: 0.5986, decode.d7.loss_mask: 0.6825, decode.d7.loss_dice: 0.9642, decode.d8.loss_cls: 0.5978, decode.d8.loss_mask: 0.6755, decode.d8.loss_dice: 0.9659, loss: 24.2385 2022-04-30 18:33:09,751 - mmseg - INFO - Iter [5250/80000] lr: 1.342e-06, eta: 1 day, 15:51:23, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5903, decode.loss_mask: 0.6733, decode.loss_dice: 0.9675, decode.d0.loss_cls: 1.8022, decode.d0.loss_mask: 0.7204, decode.d0.loss_dice: 1.1191, decode.d1.loss_cls: 0.7014, decode.d1.loss_mask: 0.7043, decode.d1.loss_dice: 1.0546, decode.d2.loss_cls: 0.6388, decode.d2.loss_mask: 0.6813, decode.d2.loss_dice: 1.0007, decode.d3.loss_cls: 0.6130, decode.d3.loss_mask: 0.6763, decode.d3.loss_dice: 0.9800, decode.d4.loss_cls: 0.6053, decode.d4.loss_mask: 0.6757, decode.d4.loss_dice: 0.9751, decode.d5.loss_cls: 0.6022, decode.d5.loss_mask: 0.6723, decode.d5.loss_dice: 0.9825, decode.d6.loss_cls: 0.5905, decode.d6.loss_mask: 0.6717, decode.d6.loss_dice: 0.9679, decode.d7.loss_cls: 0.5925, decode.d7.loss_mask: 0.6693, decode.d7.loss_dice: 0.9675, decode.d8.loss_cls: 0.5852, decode.d8.loss_mask: 0.6735, decode.d8.loss_dice: 0.9704, loss: 24.1244 2022-04-30 18:34:44,511 - mmseg - INFO - Iter [5300/80000] lr: 1.341e-06, eta: 1 day, 15:49:30, time: 1.895, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5940, decode.loss_mask: 0.6341, decode.loss_dice: 0.9483, decode.d0.loss_cls: 1.8271, decode.d0.loss_mask: 0.6818, decode.d0.loss_dice: 1.1207, decode.d1.loss_cls: 0.7132, decode.d1.loss_mask: 0.6657, decode.d1.loss_dice: 1.0411, decode.d2.loss_cls: 0.6669, decode.d2.loss_mask: 0.6422, decode.d2.loss_dice: 0.9881, decode.d3.loss_cls: 0.6312, decode.d3.loss_mask: 0.6399, decode.d3.loss_dice: 0.9685, decode.d4.loss_cls: 0.6191, decode.d4.loss_mask: 0.6400, decode.d4.loss_dice: 0.9710, decode.d5.loss_cls: 0.6089, decode.d5.loss_mask: 0.6379, decode.d5.loss_dice: 0.9602, decode.d6.loss_cls: 0.6004, decode.d6.loss_mask: 0.6364, decode.d6.loss_dice: 0.9428, decode.d7.loss_cls: 0.5985, decode.d7.loss_mask: 0.6323, decode.d7.loss_dice: 0.9499, decode.d8.loss_cls: 0.5938, decode.d8.loss_mask: 0.6347, decode.d8.loss_dice: 0.9493, loss: 23.7381 2022-04-30 18:36:19,046 - mmseg - INFO - Iter [5350/80000] lr: 1.340e-06, eta: 1 day, 15:47:34, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6197, decode.loss_mask: 0.6666, decode.loss_dice: 0.9492, decode.d0.loss_cls: 1.8173, decode.d0.loss_mask: 0.6998, decode.d0.loss_dice: 1.1073, decode.d1.loss_cls: 0.7178, decode.d1.loss_mask: 0.6885, decode.d1.loss_dice: 1.0330, decode.d2.loss_cls: 0.6610, decode.d2.loss_mask: 0.6666, decode.d2.loss_dice: 0.9878, decode.d3.loss_cls: 0.6422, decode.d3.loss_mask: 0.6626, decode.d3.loss_dice: 0.9627, decode.d4.loss_cls: 0.6300, decode.d4.loss_mask: 0.6579, decode.d4.loss_dice: 0.9578, decode.d5.loss_cls: 0.6320, decode.d5.loss_mask: 0.6607, decode.d5.loss_dice: 0.9477, decode.d6.loss_cls: 0.6206, decode.d6.loss_mask: 0.6551, decode.d6.loss_dice: 0.9441, decode.d7.loss_cls: 0.6153, decode.d7.loss_mask: 0.6617, decode.d7.loss_dice: 0.9462, decode.d8.loss_cls: 0.6176, decode.d8.loss_mask: 0.6621, decode.d8.loss_dice: 0.9464, loss: 24.0376 2022-04-30 18:37:54,949 - mmseg - INFO - Iter [5400/80000] lr: 1.339e-06, eta: 1 day, 15:45:57, time: 1.918, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6113, decode.loss_mask: 0.6662, decode.loss_dice: 0.9431, decode.d0.loss_cls: 1.8047, decode.d0.loss_mask: 0.7191, decode.d0.loss_dice: 1.1024, decode.d1.loss_cls: 0.7156, decode.d1.loss_mask: 0.7047, decode.d1.loss_dice: 1.0211, decode.d2.loss_cls: 0.6506, decode.d2.loss_mask: 0.6825, decode.d2.loss_dice: 0.9768, decode.d3.loss_cls: 0.6342, decode.d3.loss_mask: 0.6733, decode.d3.loss_dice: 0.9585, decode.d4.loss_cls: 0.6183, decode.d4.loss_mask: 0.6732, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.6190, decode.d5.loss_mask: 0.6696, decode.d5.loss_dice: 0.9481, decode.d6.loss_cls: 0.6139, decode.d6.loss_mask: 0.6597, decode.d6.loss_dice: 0.9397, decode.d7.loss_cls: 0.6074, decode.d7.loss_mask: 0.6620, decode.d7.loss_dice: 0.9379, decode.d8.loss_cls: 0.6108, decode.d8.loss_mask: 0.6638, decode.d8.loss_dice: 0.9433, loss: 23.9865 2022-04-30 18:39:29,065 - mmseg - INFO - Iter [5450/80000] lr: 1.338e-06, eta: 1 day, 15:43:56, time: 1.883, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5857, decode.loss_mask: 0.6684, decode.loss_dice: 0.9650, decode.d0.loss_cls: 1.8102, decode.d0.loss_mask: 0.7127, decode.d0.loss_dice: 1.1094, decode.d1.loss_cls: 0.6842, decode.d1.loss_mask: 0.6974, decode.d1.loss_dice: 1.0399, decode.d2.loss_cls: 0.6213, decode.d2.loss_mask: 0.6797, decode.d2.loss_dice: 0.9935, decode.d3.loss_cls: 0.5966, decode.d3.loss_mask: 0.6735, decode.d3.loss_dice: 0.9841, decode.d4.loss_cls: 0.5922, decode.d4.loss_mask: 0.6726, decode.d4.loss_dice: 0.9808, decode.d5.loss_cls: 0.5839, decode.d5.loss_mask: 0.6717, decode.d5.loss_dice: 0.9788, decode.d6.loss_cls: 0.5877, decode.d6.loss_mask: 0.6681, decode.d6.loss_dice: 0.9638, decode.d7.loss_cls: 0.5791, decode.d7.loss_mask: 0.6688, decode.d7.loss_dice: 0.9672, decode.d8.loss_cls: 0.5793, decode.d8.loss_mask: 0.6650, decode.d8.loss_dice: 0.9673, loss: 23.9480 2022-04-30 18:41:04,531 - mmseg - INFO - Iter [5500/80000] lr: 1.337e-06, eta: 1 day, 15:42:14, time: 1.909, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6232, decode.loss_mask: 0.6780, decode.loss_dice: 0.9696, decode.d0.loss_cls: 1.8396, decode.d0.loss_mask: 0.7219, decode.d0.loss_dice: 1.1411, decode.d1.loss_cls: 0.7368, decode.d1.loss_mask: 0.7061, decode.d1.loss_dice: 1.0540, decode.d2.loss_cls: 0.6811, decode.d2.loss_mask: 0.6891, decode.d2.loss_dice: 1.0071, decode.d3.loss_cls: 0.6538, decode.d3.loss_mask: 0.6848, decode.d3.loss_dice: 0.9885, decode.d4.loss_cls: 0.6447, decode.d4.loss_mask: 0.6802, decode.d4.loss_dice: 0.9794, decode.d5.loss_cls: 0.6440, decode.d5.loss_mask: 0.6737, decode.d5.loss_dice: 0.9770, decode.d6.loss_cls: 0.6324, decode.d6.loss_mask: 0.6710, decode.d6.loss_dice: 0.9601, decode.d7.loss_cls: 0.6268, decode.d7.loss_mask: 0.6768, decode.d7.loss_dice: 0.9643, decode.d8.loss_cls: 0.6249, decode.d8.loss_mask: 0.6746, decode.d8.loss_dice: 0.9699, loss: 24.5746 2022-04-30 18:42:41,303 - mmseg - INFO - Iter [5550/80000] lr: 1.336e-06, eta: 1 day, 15:40:49, time: 1.936, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6100, decode.loss_mask: 0.6471, decode.loss_dice: 0.9425, decode.d0.loss_cls: 1.8550, decode.d0.loss_mask: 0.6934, decode.d0.loss_dice: 1.1063, decode.d1.loss_cls: 0.7300, decode.d1.loss_mask: 0.6741, decode.d1.loss_dice: 1.0294, decode.d2.loss_cls: 0.6741, decode.d2.loss_mask: 0.6531, decode.d2.loss_dice: 0.9731, decode.d3.loss_cls: 0.6527, decode.d3.loss_mask: 0.6451, decode.d3.loss_dice: 0.9553, decode.d4.loss_cls: 0.6366, decode.d4.loss_mask: 0.6481, decode.d4.loss_dice: 0.9618, decode.d5.loss_cls: 0.6289, decode.d5.loss_mask: 0.6464, decode.d5.loss_dice: 0.9507, decode.d6.loss_cls: 0.6122, decode.d6.loss_mask: 0.6434, decode.d6.loss_dice: 0.9376, decode.d7.loss_cls: 0.6074, decode.d7.loss_mask: 0.6459, decode.d7.loss_dice: 0.9412, decode.d8.loss_cls: 0.6093, decode.d8.loss_mask: 0.6493, decode.d8.loss_dice: 0.9426, loss: 23.9028 2022-04-30 18:44:16,330 - mmseg - INFO - Iter [5600/80000] lr: 1.335e-06, eta: 1 day, 15:39:01, time: 1.901, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5647, decode.loss_mask: 0.6603, decode.loss_dice: 0.9355, decode.d0.loss_cls: 1.7557, decode.d0.loss_mask: 0.7043, decode.d0.loss_dice: 1.0886, decode.d1.loss_cls: 0.6758, decode.d1.loss_mask: 0.6921, decode.d1.loss_dice: 1.0157, decode.d2.loss_cls: 0.6200, decode.d2.loss_mask: 0.6747, decode.d2.loss_dice: 0.9791, decode.d3.loss_cls: 0.5955, decode.d3.loss_mask: 0.6646, decode.d3.loss_dice: 0.9562, decode.d4.loss_cls: 0.5856, decode.d4.loss_mask: 0.6665, decode.d4.loss_dice: 0.9536, decode.d5.loss_cls: 0.5752, decode.d5.loss_mask: 0.6630, decode.d5.loss_dice: 0.9537, decode.d6.loss_cls: 0.5735, decode.d6.loss_mask: 0.6621, decode.d6.loss_dice: 0.9370, decode.d7.loss_cls: 0.5744, decode.d7.loss_mask: 0.6626, decode.d7.loss_dice: 0.9382, decode.d8.loss_cls: 0.5687, decode.d8.loss_mask: 0.6589, decode.d8.loss_dice: 0.9345, loss: 23.4903 2022-04-30 18:45:52,414 - mmseg - INFO - Iter [5650/80000] lr: 1.334e-06, eta: 1 day, 15:37:28, time: 1.922, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5999, decode.loss_mask: 0.6713, decode.loss_dice: 0.9627, decode.d0.loss_cls: 1.7882, decode.d0.loss_mask: 0.7144, decode.d0.loss_dice: 1.1298, decode.d1.loss_cls: 0.7122, decode.d1.loss_mask: 0.6971, decode.d1.loss_dice: 1.0504, decode.d2.loss_cls: 0.6513, decode.d2.loss_mask: 0.6835, decode.d2.loss_dice: 1.0021, decode.d3.loss_cls: 0.6315, decode.d3.loss_mask: 0.6744, decode.d3.loss_dice: 0.9759, decode.d4.loss_cls: 0.6179, decode.d4.loss_mask: 0.6787, decode.d4.loss_dice: 0.9746, decode.d5.loss_cls: 0.6117, decode.d5.loss_mask: 0.6761, decode.d5.loss_dice: 0.9760, decode.d6.loss_cls: 0.6052, decode.d6.loss_mask: 0.6739, decode.d6.loss_dice: 0.9630, decode.d7.loss_cls: 0.5940, decode.d7.loss_mask: 0.6740, decode.d7.loss_dice: 0.9633, decode.d8.loss_cls: 0.5931, decode.d8.loss_mask: 0.6735, decode.d8.loss_dice: 0.9714, loss: 24.1909 2022-04-30 18:47:28,872 - mmseg - INFO - Iter [5700/80000] lr: 1.334e-06, eta: 1 day, 15:35:58, time: 1.929, data_time: 0.014, memory: 64716, decode.loss_cls: 0.5842, decode.loss_mask: 0.6755, decode.loss_dice: 0.9464, decode.d0.loss_cls: 1.7814, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.1063, decode.d1.loss_cls: 0.6940, decode.d1.loss_mask: 0.7028, decode.d1.loss_dice: 1.0240, decode.d2.loss_cls: 0.6423, decode.d2.loss_mask: 0.6835, decode.d2.loss_dice: 0.9869, decode.d3.loss_cls: 0.6138, decode.d3.loss_mask: 0.6812, decode.d3.loss_dice: 0.9687, decode.d4.loss_cls: 0.6062, decode.d4.loss_mask: 0.6780, decode.d4.loss_dice: 0.9663, decode.d5.loss_cls: 0.5966, decode.d5.loss_mask: 0.6750, decode.d5.loss_dice: 0.9572, decode.d6.loss_cls: 0.5919, decode.d6.loss_mask: 0.6722, decode.d6.loss_dice: 0.9430, decode.d7.loss_cls: 0.5850, decode.d7.loss_mask: 0.6715, decode.d7.loss_dice: 0.9490, decode.d8.loss_cls: 0.5887, decode.d8.loss_mask: 0.6740, decode.d8.loss_dice: 0.9508, loss: 23.9208 2022-04-30 18:49:03,530 - mmseg - INFO - Iter [5750/80000] lr: 1.333e-06, eta: 1 day, 15:34:06, time: 1.894, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6036, decode.loss_mask: 0.6888, decode.loss_dice: 0.9513, decode.d0.loss_cls: 1.7936, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.1126, decode.d1.loss_cls: 0.7128, decode.d1.loss_mask: 0.7203, decode.d1.loss_dice: 1.0427, decode.d2.loss_cls: 0.6485, decode.d2.loss_mask: 0.6954, decode.d2.loss_dice: 0.9867, decode.d3.loss_cls: 0.6251, decode.d3.loss_mask: 0.6898, decode.d3.loss_dice: 0.9599, decode.d4.loss_cls: 0.6175, decode.d4.loss_mask: 0.6922, decode.d4.loss_dice: 0.9648, decode.d5.loss_cls: 0.6033, decode.d5.loss_mask: 0.6890, decode.d5.loss_dice: 0.9670, decode.d6.loss_cls: 0.6003, decode.d6.loss_mask: 0.6909, decode.d6.loss_dice: 0.9541, decode.d7.loss_cls: 0.5934, decode.d7.loss_mask: 0.6894, decode.d7.loss_dice: 0.9631, decode.d8.loss_cls: 0.5983, decode.d8.loss_mask: 0.6876, decode.d8.loss_dice: 0.9590, loss: 24.2435 2022-04-30 18:50:39,804 - mmseg - INFO - Iter [5800/80000] lr: 1.332e-06, eta: 1 day, 15:32:35, time: 1.926, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5981, decode.loss_mask: 0.6676, decode.loss_dice: 0.9494, decode.d0.loss_cls: 1.7931, decode.d0.loss_mask: 0.7280, decode.d0.loss_dice: 1.1104, decode.d1.loss_cls: 0.7082, decode.d1.loss_mask: 0.7057, decode.d1.loss_dice: 1.0491, decode.d2.loss_cls: 0.6489, decode.d2.loss_mask: 0.6877, decode.d2.loss_dice: 0.9901, decode.d3.loss_cls: 0.6178, decode.d3.loss_mask: 0.6791, decode.d3.loss_dice: 0.9688, decode.d4.loss_cls: 0.6135, decode.d4.loss_mask: 0.6780, decode.d4.loss_dice: 0.9665, decode.d5.loss_cls: 0.5981, decode.d5.loss_mask: 0.6765, decode.d5.loss_dice: 0.9666, decode.d6.loss_cls: 0.5983, decode.d6.loss_mask: 0.6699, decode.d6.loss_dice: 0.9542, decode.d7.loss_cls: 0.5996, decode.d7.loss_mask: 0.6693, decode.d7.loss_dice: 0.9614, decode.d8.loss_cls: 0.5941, decode.d8.loss_mask: 0.6717, decode.d8.loss_dice: 0.9576, loss: 24.0775 2022-04-30 18:52:14,766 - mmseg - INFO - Iter [5850/80000] lr: 1.331e-06, eta: 1 day, 15:30:46, time: 1.899, data_time: 0.014, memory: 64716, decode.loss_cls: 0.5674, decode.loss_mask: 0.6678, decode.loss_dice: 0.9663, decode.d0.loss_cls: 1.7458, decode.d0.loss_mask: 0.7096, decode.d0.loss_dice: 1.1195, decode.d1.loss_cls: 0.6770, decode.d1.loss_mask: 0.7034, decode.d1.loss_dice: 1.0545, decode.d2.loss_cls: 0.6172, decode.d2.loss_mask: 0.6826, decode.d2.loss_dice: 1.0068, decode.d3.loss_cls: 0.5956, decode.d3.loss_mask: 0.6735, decode.d3.loss_dice: 0.9768, decode.d4.loss_cls: 0.5803, decode.d4.loss_mask: 0.6671, decode.d4.loss_dice: 0.9823, decode.d5.loss_cls: 0.5751, decode.d5.loss_mask: 0.6725, decode.d5.loss_dice: 0.9819, decode.d6.loss_cls: 0.5728, decode.d6.loss_mask: 0.6682, decode.d6.loss_dice: 0.9638, decode.d7.loss_cls: 0.5751, decode.d7.loss_mask: 0.6673, decode.d7.loss_dice: 0.9703, decode.d8.loss_cls: 0.5684, decode.d8.loss_mask: 0.6653, decode.d8.loss_dice: 0.9700, loss: 23.8440 2022-04-30 18:53:49,572 - mmseg - INFO - Iter [5900/80000] lr: 1.330e-06, eta: 1 day, 15:28:56, time: 1.896, data_time: 0.017, memory: 64716, decode.loss_cls: 0.6079, decode.loss_mask: 0.6787, decode.loss_dice: 0.9444, decode.d0.loss_cls: 1.7862, decode.d0.loss_mask: 0.7166, decode.d0.loss_dice: 1.1166, decode.d1.loss_cls: 0.7230, decode.d1.loss_mask: 0.7057, decode.d1.loss_dice: 1.0320, decode.d2.loss_cls: 0.6628, decode.d2.loss_mask: 0.6861, decode.d2.loss_dice: 0.9799, decode.d3.loss_cls: 0.6338, decode.d3.loss_mask: 0.6852, decode.d3.loss_dice: 0.9646, decode.d4.loss_cls: 0.6310, decode.d4.loss_mask: 0.6801, decode.d4.loss_dice: 0.9684, decode.d5.loss_cls: 0.6175, decode.d5.loss_mask: 0.6832, decode.d5.loss_dice: 0.9633, decode.d6.loss_cls: 0.6125, decode.d6.loss_mask: 0.6744, decode.d6.loss_dice: 0.9487, decode.d7.loss_cls: 0.6080, decode.d7.loss_mask: 0.6755, decode.d7.loss_dice: 0.9534, decode.d8.loss_cls: 0.6060, decode.d8.loss_mask: 0.6744, decode.d8.loss_dice: 0.9548, loss: 24.1746 2022-04-30 18:55:24,202 - mmseg - INFO - Iter [5950/80000] lr: 1.329e-06, eta: 1 day, 15:27:04, time: 1.893, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5841, decode.loss_mask: 0.6884, decode.loss_dice: 0.9606, decode.d0.loss_cls: 1.7477, decode.d0.loss_mask: 0.7368, decode.d0.loss_dice: 1.1118, decode.d1.loss_cls: 0.6781, decode.d1.loss_mask: 0.7177, decode.d1.loss_dice: 1.0343, decode.d2.loss_cls: 0.6178, decode.d2.loss_mask: 0.6960, decode.d2.loss_dice: 0.9886, decode.d3.loss_cls: 0.6049, decode.d3.loss_mask: 0.6897, decode.d3.loss_dice: 0.9648, decode.d4.loss_cls: 0.5955, decode.d4.loss_mask: 0.6928, decode.d4.loss_dice: 0.9665, decode.d5.loss_cls: 0.5947, decode.d5.loss_mask: 0.6891, decode.d5.loss_dice: 0.9731, decode.d6.loss_cls: 0.5879, decode.d6.loss_mask: 0.6856, decode.d6.loss_dice: 0.9633, decode.d7.loss_cls: 0.5829, decode.d7.loss_mask: 0.6878, decode.d7.loss_dice: 0.9672, decode.d8.loss_cls: 0.5820, decode.d8.loss_mask: 0.6880, decode.d8.loss_dice: 0.9597, loss: 24.0374 2022-04-30 18:56:58,525 - mmseg - INFO - Saving checkpoint at 6000 iterations 2022-04-30 18:57:28,584 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 18:57:28,588 - mmseg - INFO - Iter [6000/80000] lr: 1.328e-06, eta: 1 day, 15:31:18, time: 2.485, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6028, decode.loss_mask: 0.6661, decode.loss_dice: 0.9534, decode.d0.loss_cls: 1.7653, decode.d0.loss_mask: 0.7169, decode.d0.loss_dice: 1.1179, decode.d1.loss_cls: 0.6937, decode.d1.loss_mask: 0.6955, decode.d1.loss_dice: 1.0376, decode.d2.loss_cls: 0.6398, decode.d2.loss_mask: 0.6763, decode.d2.loss_dice: 0.9965, decode.d3.loss_cls: 0.6100, decode.d3.loss_mask: 0.6751, decode.d3.loss_dice: 0.9775, decode.d4.loss_cls: 0.6120, decode.d4.loss_mask: 0.6731, decode.d4.loss_dice: 0.9707, decode.d5.loss_cls: 0.6100, decode.d5.loss_mask: 0.6668, decode.d5.loss_dice: 0.9699, decode.d6.loss_cls: 0.5996, decode.d6.loss_mask: 0.6671, decode.d6.loss_dice: 0.9600, decode.d7.loss_cls: 0.6004, decode.d7.loss_mask: 0.6661, decode.d7.loss_dice: 0.9645, decode.d8.loss_cls: 0.5939, decode.d8.loss_mask: 0.6668, decode.d8.loss_dice: 0.9643, loss: 24.0097 2022-04-30 18:59:04,880 - mmseg - INFO - Iter [6050/80000] lr: 1.327e-06, eta: 1 day, 15:29:45, time: 1.927, data_time: 0.018, memory: 64716, decode.loss_cls: 0.6085, decode.loss_mask: 0.6792, decode.loss_dice: 0.9450, decode.d0.loss_cls: 1.7718, decode.d0.loss_mask: 0.7318, decode.d0.loss_dice: 1.1083, decode.d1.loss_cls: 0.6959, decode.d1.loss_mask: 0.7225, decode.d1.loss_dice: 1.0402, decode.d2.loss_cls: 0.6493, decode.d2.loss_mask: 0.6979, decode.d2.loss_dice: 0.9937, decode.d3.loss_cls: 0.6204, decode.d3.loss_mask: 0.6897, decode.d3.loss_dice: 0.9681, decode.d4.loss_cls: 0.6122, decode.d4.loss_mask: 0.6870, decode.d4.loss_dice: 0.9632, decode.d5.loss_cls: 0.6135, decode.d5.loss_mask: 0.6837, decode.d5.loss_dice: 0.9569, decode.d6.loss_cls: 0.6063, decode.d6.loss_mask: 0.6772, decode.d6.loss_dice: 0.9525, decode.d7.loss_cls: 0.6068, decode.d7.loss_mask: 0.6781, decode.d7.loss_dice: 0.9515, decode.d8.loss_cls: 0.6046, decode.d8.loss_mask: 0.6816, decode.d8.loss_dice: 0.9490, loss: 24.1459 2022-04-30 19:00:39,174 - mmseg - INFO - Iter [6100/80000] lr: 1.326e-06, eta: 1 day, 15:27:47, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6055, decode.loss_mask: 0.6641, decode.loss_dice: 0.9365, decode.d0.loss_cls: 1.7598, decode.d0.loss_mask: 0.7125, decode.d0.loss_dice: 1.0998, decode.d1.loss_cls: 0.7045, decode.d1.loss_mask: 0.7018, decode.d1.loss_dice: 1.0340, decode.d2.loss_cls: 0.6482, decode.d2.loss_mask: 0.6814, decode.d2.loss_dice: 0.9731, decode.d3.loss_cls: 0.6285, decode.d3.loss_mask: 0.6647, decode.d3.loss_dice: 0.9517, decode.d4.loss_cls: 0.6182, decode.d4.loss_mask: 0.6686, decode.d4.loss_dice: 0.9555, decode.d5.loss_cls: 0.6056, decode.d5.loss_mask: 0.6728, decode.d5.loss_dice: 0.9517, decode.d6.loss_cls: 0.6061, decode.d6.loss_mask: 0.6643, decode.d6.loss_dice: 0.9432, decode.d7.loss_cls: 0.6013, decode.d7.loss_mask: 0.6626, decode.d7.loss_dice: 0.9471, decode.d8.loss_cls: 0.6008, decode.d8.loss_mask: 0.6625, decode.d8.loss_dice: 0.9483, loss: 23.8746 2022-04-30 19:02:14,863 - mmseg - INFO - Iter [6150/80000] lr: 1.325e-06, eta: 1 day, 15:26:05, time: 1.914, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5956, decode.loss_mask: 0.6694, decode.loss_dice: 0.9508, decode.d0.loss_cls: 1.7440, decode.d0.loss_mask: 0.7160, decode.d0.loss_dice: 1.0937, decode.d1.loss_cls: 0.6882, decode.d1.loss_mask: 0.7053, decode.d1.loss_dice: 1.0391, decode.d2.loss_cls: 0.6329, decode.d2.loss_mask: 0.6891, decode.d2.loss_dice: 1.0006, decode.d3.loss_cls: 0.6107, decode.d3.loss_mask: 0.6814, decode.d3.loss_dice: 0.9727, decode.d4.loss_cls: 0.6069, decode.d4.loss_mask: 0.6808, decode.d4.loss_dice: 0.9717, decode.d5.loss_cls: 0.6024, decode.d5.loss_mask: 0.6742, decode.d5.loss_dice: 0.9654, decode.d6.loss_cls: 0.5893, decode.d6.loss_mask: 0.6712, decode.d6.loss_dice: 0.9544, decode.d7.loss_cls: 0.5914, decode.d7.loss_mask: 0.6715, decode.d7.loss_dice: 0.9519, decode.d8.loss_cls: 0.5929, decode.d8.loss_mask: 0.6716, decode.d8.loss_dice: 0.9546, loss: 23.9396 2022-04-30 19:03:50,891 - mmseg - INFO - Iter [6200/80000] lr: 1.325e-06, eta: 1 day, 15:24:29, time: 1.922, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5918, decode.loss_mask: 0.6565, decode.loss_dice: 0.9440, decode.d0.loss_cls: 1.7789, decode.d0.loss_mask: 0.7018, decode.d0.loss_dice: 1.1054, decode.d1.loss_cls: 0.6974, decode.d1.loss_mask: 0.6908, decode.d1.loss_dice: 1.0348, decode.d2.loss_cls: 0.6272, decode.d2.loss_mask: 0.6694, decode.d2.loss_dice: 0.9932, decode.d3.loss_cls: 0.6121, decode.d3.loss_mask: 0.6616, decode.d3.loss_dice: 0.9619, decode.d4.loss_cls: 0.6040, decode.d4.loss_mask: 0.6597, decode.d4.loss_dice: 0.9611, decode.d5.loss_cls: 0.6061, decode.d5.loss_mask: 0.6576, decode.d5.loss_dice: 0.9585, decode.d6.loss_cls: 0.5968, decode.d6.loss_mask: 0.6516, decode.d6.loss_dice: 0.9449, decode.d7.loss_cls: 0.5923, decode.d7.loss_mask: 0.6536, decode.d7.loss_dice: 0.9409, decode.d8.loss_cls: 0.5907, decode.d8.loss_mask: 0.6545, decode.d8.loss_dice: 0.9428, loss: 23.7419 2022-04-30 19:05:25,949 - mmseg - INFO - Iter [6250/80000] lr: 1.324e-06, eta: 1 day, 15:22:40, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5739, decode.loss_mask: 0.6527, decode.loss_dice: 0.9251, decode.d0.loss_cls: 1.7673, decode.d0.loss_mask: 0.7006, decode.d0.loss_dice: 1.0674, decode.d1.loss_cls: 0.6748, decode.d1.loss_mask: 0.6846, decode.d1.loss_dice: 1.0093, decode.d2.loss_cls: 0.6269, decode.d2.loss_mask: 0.6661, decode.d2.loss_dice: 0.9628, decode.d3.loss_cls: 0.5931, decode.d3.loss_mask: 0.6591, decode.d3.loss_dice: 0.9446, decode.d4.loss_cls: 0.5840, decode.d4.loss_mask: 0.6643, decode.d4.loss_dice: 0.9354, decode.d5.loss_cls: 0.5877, decode.d5.loss_mask: 0.6582, decode.d5.loss_dice: 0.9304, decode.d6.loss_cls: 0.5755, decode.d6.loss_mask: 0.6525, decode.d6.loss_dice: 0.9210, decode.d7.loss_cls: 0.5696, decode.d7.loss_mask: 0.6523, decode.d7.loss_dice: 0.9231, decode.d8.loss_cls: 0.5710, decode.d8.loss_mask: 0.6533, decode.d8.loss_dice: 0.9234, loss: 23.3102 2022-04-30 19:07:00,486 - mmseg - INFO - Iter [6300/80000] lr: 1.323e-06, eta: 1 day, 15:20:45, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5563, decode.loss_mask: 0.6558, decode.loss_dice: 0.9260, decode.d0.loss_cls: 1.6710, decode.d0.loss_mask: 0.7012, decode.d0.loss_dice: 1.0764, decode.d1.loss_cls: 0.6349, decode.d1.loss_mask: 0.6832, decode.d1.loss_dice: 1.0061, decode.d2.loss_cls: 0.5924, decode.d2.loss_mask: 0.6662, decode.d2.loss_dice: 0.9619, decode.d3.loss_cls: 0.5773, decode.d3.loss_mask: 0.6551, decode.d3.loss_dice: 0.9418, decode.d4.loss_cls: 0.5689, decode.d4.loss_mask: 0.6606, decode.d4.loss_dice: 0.9423, decode.d5.loss_cls: 0.5637, decode.d5.loss_mask: 0.6559, decode.d5.loss_dice: 0.9345, decode.d6.loss_cls: 0.5542, decode.d6.loss_mask: 0.6560, decode.d6.loss_dice: 0.9290, decode.d7.loss_cls: 0.5566, decode.d7.loss_mask: 0.6542, decode.d7.loss_dice: 0.9289, decode.d8.loss_cls: 0.5503, decode.d8.loss_mask: 0.6552, decode.d8.loss_dice: 0.9306, loss: 23.0466 2022-04-30 19:08:39,564 - mmseg - INFO - Iter [6350/80000] lr: 1.322e-06, eta: 1 day, 15:19:44, time: 1.981, data_time: 0.065, memory: 64716, decode.loss_cls: 0.5701, decode.loss_mask: 0.6533, decode.loss_dice: 0.9390, decode.d0.loss_cls: 1.7822, decode.d0.loss_mask: 0.6963, decode.d0.loss_dice: 1.1064, decode.d1.loss_cls: 0.6727, decode.d1.loss_mask: 0.6867, decode.d1.loss_dice: 1.0337, decode.d2.loss_cls: 0.6149, decode.d2.loss_mask: 0.6667, decode.d2.loss_dice: 0.9827, decode.d3.loss_cls: 0.5986, decode.d3.loss_mask: 0.6580, decode.d3.loss_dice: 0.9607, decode.d4.loss_cls: 0.5844, decode.d4.loss_mask: 0.6572, decode.d4.loss_dice: 0.9585, decode.d5.loss_cls: 0.5827, decode.d5.loss_mask: 0.6596, decode.d5.loss_dice: 0.9509, decode.d6.loss_cls: 0.5824, decode.d6.loss_mask: 0.6553, decode.d6.loss_dice: 0.9407, decode.d7.loss_cls: 0.5768, decode.d7.loss_mask: 0.6553, decode.d7.loss_dice: 0.9442, decode.d8.loss_cls: 0.5775, decode.d8.loss_mask: 0.6517, decode.d8.loss_dice: 0.9383, loss: 23.5376 2022-04-30 19:10:13,302 - mmseg - INFO - Iter [6400/80000] lr: 1.321e-06, eta: 1 day, 15:17:40, time: 1.875, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5658, decode.loss_mask: 0.6496, decode.loss_dice: 0.9234, decode.d0.loss_cls: 1.7405, decode.d0.loss_mask: 0.7014, decode.d0.loss_dice: 1.0817, decode.d1.loss_cls: 0.6664, decode.d1.loss_mask: 0.6804, decode.d1.loss_dice: 1.0094, decode.d2.loss_cls: 0.6157, decode.d2.loss_mask: 0.6599, decode.d2.loss_dice: 0.9606, decode.d3.loss_cls: 0.6030, decode.d3.loss_mask: 0.6521, decode.d3.loss_dice: 0.9380, decode.d4.loss_cls: 0.5856, decode.d4.loss_mask: 0.6509, decode.d4.loss_dice: 0.9346, decode.d5.loss_cls: 0.5796, decode.d5.loss_mask: 0.6462, decode.d5.loss_dice: 0.9238, decode.d6.loss_cls: 0.5704, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9218, decode.d7.loss_cls: 0.5722, decode.d7.loss_mask: 0.6468, decode.d7.loss_dice: 0.9247, decode.d8.loss_cls: 0.5681, decode.d8.loss_mask: 0.6474, decode.d8.loss_dice: 0.9321, loss: 23.2018 2022-04-30 19:11:47,169 - mmseg - INFO - Iter [6450/80000] lr: 1.320e-06, eta: 1 day, 15:15:39, time: 1.877, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5756, decode.loss_mask: 0.6633, decode.loss_dice: 0.9593, decode.d0.loss_cls: 1.7652, decode.d0.loss_mask: 0.7062, decode.d0.loss_dice: 1.1164, decode.d1.loss_cls: 0.6879, decode.d1.loss_mask: 0.6868, decode.d1.loss_dice: 1.0381, decode.d2.loss_cls: 0.6196, decode.d2.loss_mask: 0.6746, decode.d2.loss_dice: 0.9886, decode.d3.loss_cls: 0.6045, decode.d3.loss_mask: 0.6717, decode.d3.loss_dice: 0.9804, decode.d4.loss_cls: 0.5912, decode.d4.loss_mask: 0.6688, decode.d4.loss_dice: 0.9763, decode.d5.loss_cls: 0.5832, decode.d5.loss_mask: 0.6734, decode.d5.loss_dice: 0.9756, decode.d6.loss_cls: 0.5764, decode.d6.loss_mask: 0.6676, decode.d6.loss_dice: 0.9627, decode.d7.loss_cls: 0.5793, decode.d7.loss_mask: 0.6659, decode.d7.loss_dice: 0.9612, decode.d8.loss_cls: 0.5722, decode.d8.loss_mask: 0.6669, decode.d8.loss_dice: 0.9678, loss: 23.8265 2022-04-30 19:13:22,159 - mmseg - INFO - Iter [6500/80000] lr: 1.319e-06, eta: 1 day, 15:13:50, time: 1.900, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5526, decode.loss_mask: 0.6515, decode.loss_dice: 0.9386, decode.d0.loss_cls: 1.6745, decode.d0.loss_mask: 0.6992, decode.d0.loss_dice: 1.0819, decode.d1.loss_cls: 0.6557, decode.d1.loss_mask: 0.6809, decode.d1.loss_dice: 1.0150, decode.d2.loss_cls: 0.5982, decode.d2.loss_mask: 0.6632, decode.d2.loss_dice: 0.9728, decode.d3.loss_cls: 0.5826, decode.d3.loss_mask: 0.6607, decode.d3.loss_dice: 0.9473, decode.d4.loss_cls: 0.5682, decode.d4.loss_mask: 0.6596, decode.d4.loss_dice: 0.9468, decode.d5.loss_cls: 0.5597, decode.d5.loss_mask: 0.6589, decode.d5.loss_dice: 0.9467, decode.d6.loss_cls: 0.5585, decode.d6.loss_mask: 0.6530, decode.d6.loss_dice: 0.9379, decode.d7.loss_cls: 0.5560, decode.d7.loss_mask: 0.6527, decode.d7.loss_dice: 0.9347, decode.d8.loss_cls: 0.5557, decode.d8.loss_mask: 0.6525, decode.d8.loss_dice: 0.9347, loss: 23.1503 2022-04-30 19:14:56,472 - mmseg - INFO - Iter [6550/80000] lr: 1.318e-06, eta: 1 day, 15:11:54, time: 1.886, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5854, decode.loss_mask: 0.6637, decode.loss_dice: 0.9350, decode.d0.loss_cls: 1.7467, decode.d0.loss_mask: 0.7177, decode.d0.loss_dice: 1.0842, decode.d1.loss_cls: 0.6860, decode.d1.loss_mask: 0.6940, decode.d1.loss_dice: 1.0263, decode.d2.loss_cls: 0.6390, decode.d2.loss_mask: 0.6686, decode.d2.loss_dice: 0.9832, decode.d3.loss_cls: 0.6141, decode.d3.loss_mask: 0.6606, decode.d3.loss_dice: 0.9489, decode.d4.loss_cls: 0.6061, decode.d4.loss_mask: 0.6652, decode.d4.loss_dice: 0.9459, decode.d5.loss_cls: 0.6015, decode.d5.loss_mask: 0.6619, decode.d5.loss_dice: 0.9480, decode.d6.loss_cls: 0.5972, decode.d6.loss_mask: 0.6560, decode.d6.loss_dice: 0.9356, decode.d7.loss_cls: 0.5918, decode.d7.loss_mask: 0.6596, decode.d7.loss_dice: 0.9399, decode.d8.loss_cls: 0.5921, decode.d8.loss_mask: 0.6599, decode.d8.loss_dice: 0.9382, loss: 23.6520 2022-04-30 19:16:31,998 - mmseg - INFO - Iter [6600/80000] lr: 1.317e-06, eta: 1 day, 15:10:13, time: 1.912, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5588, decode.loss_mask: 0.6525, decode.loss_dice: 0.9243, decode.d0.loss_cls: 1.6911, decode.d0.loss_mask: 0.6978, decode.d0.loss_dice: 1.0864, decode.d1.loss_cls: 0.6452, decode.d1.loss_mask: 0.6798, decode.d1.loss_dice: 1.0115, decode.d2.loss_cls: 0.5913, decode.d2.loss_mask: 0.6676, decode.d2.loss_dice: 0.9728, decode.d3.loss_cls: 0.5773, decode.d3.loss_mask: 0.6599, decode.d3.loss_dice: 0.9461, decode.d4.loss_cls: 0.5690, decode.d4.loss_mask: 0.6581, decode.d4.loss_dice: 0.9457, decode.d5.loss_cls: 0.5694, decode.d5.loss_mask: 0.6536, decode.d5.loss_dice: 0.9347, decode.d6.loss_cls: 0.5622, decode.d6.loss_mask: 0.6497, decode.d6.loss_dice: 0.9278, decode.d7.loss_cls: 0.5664, decode.d7.loss_mask: 0.6454, decode.d7.loss_dice: 0.9290, decode.d8.loss_cls: 0.5613, decode.d8.loss_mask: 0.6490, decode.d8.loss_dice: 0.9259, loss: 23.1095 2022-04-30 19:18:07,457 - mmseg - INFO - Iter [6650/80000] lr: 1.316e-06, eta: 1 day, 15:08:30, time: 1.908, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5667, decode.loss_mask: 0.6529, decode.loss_dice: 0.9401, decode.d0.loss_cls: 1.7144, decode.d0.loss_mask: 0.7010, decode.d0.loss_dice: 1.0885, decode.d1.loss_cls: 0.6723, decode.d1.loss_mask: 0.6838, decode.d1.loss_dice: 1.0317, decode.d2.loss_cls: 0.6181, decode.d2.loss_mask: 0.6651, decode.d2.loss_dice: 0.9730, decode.d3.loss_cls: 0.5882, decode.d3.loss_mask: 0.6601, decode.d3.loss_dice: 0.9578, decode.d4.loss_cls: 0.5809, decode.d4.loss_mask: 0.6593, decode.d4.loss_dice: 0.9554, decode.d5.loss_cls: 0.5784, decode.d5.loss_mask: 0.6592, decode.d5.loss_dice: 0.9448, decode.d6.loss_cls: 0.5729, decode.d6.loss_mask: 0.6544, decode.d6.loss_dice: 0.9417, decode.d7.loss_cls: 0.5654, decode.d7.loss_mask: 0.6556, decode.d7.loss_dice: 0.9398, decode.d8.loss_cls: 0.5709, decode.d8.loss_mask: 0.6538, decode.d8.loss_dice: 0.9425, loss: 23.3885 2022-04-30 19:19:42,843 - mmseg - INFO - Iter [6700/80000] lr: 1.316e-06, eta: 1 day, 15:06:46, time: 1.908, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5690, decode.loss_mask: 0.6585, decode.loss_dice: 0.9574, decode.d0.loss_cls: 1.7050, decode.d0.loss_mask: 0.7063, decode.d0.loss_dice: 1.1031, decode.d1.loss_cls: 0.6532, decode.d1.loss_mask: 0.7024, decode.d1.loss_dice: 1.0408, decode.d2.loss_cls: 0.6091, decode.d2.loss_mask: 0.6730, decode.d2.loss_dice: 0.9984, decode.d3.loss_cls: 0.5829, decode.d3.loss_mask: 0.6648, decode.d3.loss_dice: 0.9715, decode.d4.loss_cls: 0.5804, decode.d4.loss_mask: 0.6640, decode.d4.loss_dice: 0.9672, decode.d5.loss_cls: 0.5678, decode.d5.loss_mask: 0.6641, decode.d5.loss_dice: 0.9685, decode.d6.loss_cls: 0.5633, decode.d6.loss_mask: 0.6619, decode.d6.loss_dice: 0.9582, decode.d7.loss_cls: 0.5594, decode.d7.loss_mask: 0.6626, decode.d7.loss_dice: 0.9589, decode.d8.loss_cls: 0.5607, decode.d8.loss_mask: 0.6587, decode.d8.loss_dice: 0.9584, loss: 23.5497 2022-04-30 19:21:19,053 - mmseg - INFO - Iter [6750/80000] lr: 1.315e-06, eta: 1 day, 15:05:12, time: 1.924, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5563, decode.loss_mask: 0.6751, decode.loss_dice: 0.9211, decode.d0.loss_cls: 1.6899, decode.d0.loss_mask: 0.7209, decode.d0.loss_dice: 1.0877, decode.d1.loss_cls: 0.6457, decode.d1.loss_mask: 0.7098, decode.d1.loss_dice: 1.0169, decode.d2.loss_cls: 0.6031, decode.d2.loss_mask: 0.6847, decode.d2.loss_dice: 0.9697, decode.d3.loss_cls: 0.5833, decode.d3.loss_mask: 0.6844, decode.d3.loss_dice: 0.9406, decode.d4.loss_cls: 0.5708, decode.d4.loss_mask: 0.6774, decode.d4.loss_dice: 0.9494, decode.d5.loss_cls: 0.5689, decode.d5.loss_mask: 0.6755, decode.d5.loss_dice: 0.9331, decode.d6.loss_cls: 0.5624, decode.d6.loss_mask: 0.6705, decode.d6.loss_dice: 0.9290, decode.d7.loss_cls: 0.5584, decode.d7.loss_mask: 0.6719, decode.d7.loss_dice: 0.9314, decode.d8.loss_cls: 0.5579, decode.d8.loss_mask: 0.6723, decode.d8.loss_dice: 0.9301, loss: 23.3483 2022-04-30 19:22:54,732 - mmseg - INFO - Iter [6800/80000] lr: 1.314e-06, eta: 1 day, 15:03:32, time: 1.914, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5901, decode.loss_mask: 0.6506, decode.loss_dice: 0.9275, decode.d0.loss_cls: 1.7199, decode.d0.loss_mask: 0.7072, decode.d0.loss_dice: 1.0847, decode.d1.loss_cls: 0.6853, decode.d1.loss_mask: 0.6875, decode.d1.loss_dice: 1.0159, decode.d2.loss_cls: 0.6327, decode.d2.loss_mask: 0.6676, decode.d2.loss_dice: 0.9754, decode.d3.loss_cls: 0.6103, decode.d3.loss_mask: 0.6604, decode.d3.loss_dice: 0.9498, decode.d4.loss_cls: 0.6060, decode.d4.loss_mask: 0.6613, decode.d4.loss_dice: 0.9443, decode.d5.loss_cls: 0.5939, decode.d5.loss_mask: 0.6600, decode.d5.loss_dice: 0.9494, decode.d6.loss_cls: 0.5952, decode.d6.loss_mask: 0.6530, decode.d6.loss_dice: 0.9309, decode.d7.loss_cls: 0.5874, decode.d7.loss_mask: 0.6542, decode.d7.loss_dice: 0.9279, decode.d8.loss_cls: 0.5886, decode.d8.loss_mask: 0.6505, decode.d8.loss_dice: 0.9243, loss: 23.4919 2022-04-30 19:24:31,102 - mmseg - INFO - Iter [6850/80000] lr: 1.313e-06, eta: 1 day, 15:02:00, time: 1.927, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5846, decode.loss_mask: 0.6498, decode.loss_dice: 0.9596, decode.d0.loss_cls: 1.7157, decode.d0.loss_mask: 0.6909, decode.d0.loss_dice: 1.1110, decode.d1.loss_cls: 0.6683, decode.d1.loss_mask: 0.6832, decode.d1.loss_dice: 1.0380, decode.d2.loss_cls: 0.6227, decode.d2.loss_mask: 0.6653, decode.d2.loss_dice: 1.0018, decode.d3.loss_cls: 0.6049, decode.d3.loss_mask: 0.6521, decode.d3.loss_dice: 0.9788, decode.d4.loss_cls: 0.5963, decode.d4.loss_mask: 0.6506, decode.d4.loss_dice: 0.9746, decode.d5.loss_cls: 0.5925, decode.d5.loss_mask: 0.6504, decode.d5.loss_dice: 0.9661, decode.d6.loss_cls: 0.5847, decode.d6.loss_mask: 0.6492, decode.d6.loss_dice: 0.9581, decode.d7.loss_cls: 0.5841, decode.d7.loss_mask: 0.6453, decode.d7.loss_dice: 0.9648, decode.d8.loss_cls: 0.5859, decode.d8.loss_mask: 0.6488, decode.d8.loss_dice: 0.9585, loss: 23.6366 2022-04-30 19:26:05,381 - mmseg - INFO - Iter [6900/80000] lr: 1.312e-06, eta: 1 day, 15:00:05, time: 1.886, data_time: 0.018, memory: 64716, decode.loss_cls: 0.6046, decode.loss_mask: 0.6645, decode.loss_dice: 0.9326, decode.d0.loss_cls: 1.7834, decode.d0.loss_mask: 0.7227, decode.d0.loss_dice: 1.0878, decode.d1.loss_cls: 0.6953, decode.d1.loss_mask: 0.7057, decode.d1.loss_dice: 1.0147, decode.d2.loss_cls: 0.6436, decode.d2.loss_mask: 0.6790, decode.d2.loss_dice: 0.9601, decode.d3.loss_cls: 0.6176, decode.d3.loss_mask: 0.6740, decode.d3.loss_dice: 0.9408, decode.d4.loss_cls: 0.6117, decode.d4.loss_mask: 0.6675, decode.d4.loss_dice: 0.9330, decode.d5.loss_cls: 0.6095, decode.d5.loss_mask: 0.6666, decode.d5.loss_dice: 0.9353, decode.d6.loss_cls: 0.6002, decode.d6.loss_mask: 0.6669, decode.d6.loss_dice: 0.9312, decode.d7.loss_cls: 0.6006, decode.d7.loss_mask: 0.6646, decode.d7.loss_dice: 0.9290, decode.d8.loss_cls: 0.6025, decode.d8.loss_mask: 0.6642, decode.d8.loss_dice: 0.9330, loss: 23.7421 2022-04-30 19:27:40,790 - mmseg - INFO - Iter [6950/80000] lr: 1.311e-06, eta: 1 day, 14:58:21, time: 1.906, data_time: 0.015, memory: 64716, decode.loss_cls: 0.6058, decode.loss_mask: 0.6602, decode.loss_dice: 0.9254, decode.d0.loss_cls: 1.7162, decode.d0.loss_mask: 0.7268, decode.d0.loss_dice: 1.1005, decode.d1.loss_cls: 0.6955, decode.d1.loss_mask: 0.6963, decode.d1.loss_dice: 1.0171, decode.d2.loss_cls: 0.6371, decode.d2.loss_mask: 0.6762, decode.d2.loss_dice: 0.9704, decode.d3.loss_cls: 0.6116, decode.d3.loss_mask: 0.6748, decode.d3.loss_dice: 0.9520, decode.d4.loss_cls: 0.6086, decode.d4.loss_mask: 0.6677, decode.d4.loss_dice: 0.9513, decode.d5.loss_cls: 0.6043, decode.d5.loss_mask: 0.6668, decode.d5.loss_dice: 0.9450, decode.d6.loss_cls: 0.6089, decode.d6.loss_mask: 0.6605, decode.d6.loss_dice: 0.9357, decode.d7.loss_cls: 0.6057, decode.d7.loss_mask: 0.6632, decode.d7.loss_dice: 0.9397, decode.d8.loss_cls: 0.6042, decode.d8.loss_mask: 0.6626, decode.d8.loss_dice: 0.9357, loss: 23.7258 2022-04-30 19:29:17,010 - mmseg - INFO - Saving checkpoint at 7000 iterations 2022-04-30 19:29:49,626 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 19:29:49,643 - mmseg - INFO - Iter [7000/80000] lr: 1.310e-06, eta: 1 day, 15:02:26, time: 2.575, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5977, decode.loss_mask: 0.6448, decode.loss_dice: 0.9311, decode.d0.loss_cls: 1.7182, decode.d0.loss_mask: 0.7005, decode.d0.loss_dice: 1.0914, decode.d1.loss_cls: 0.6944, decode.d1.loss_mask: 0.6730, decode.d1.loss_dice: 1.0099, decode.d2.loss_cls: 0.6416, decode.d2.loss_mask: 0.6553, decode.d2.loss_dice: 0.9670, decode.d3.loss_cls: 0.6158, decode.d3.loss_mask: 0.6562, decode.d3.loss_dice: 0.9440, decode.d4.loss_cls: 0.6053, decode.d4.loss_mask: 0.6538, decode.d4.loss_dice: 0.9421, decode.d5.loss_cls: 0.6007, decode.d5.loss_mask: 0.6538, decode.d5.loss_dice: 0.9365, decode.d6.loss_cls: 0.6008, decode.d6.loss_mask: 0.6462, decode.d6.loss_dice: 0.9302, decode.d7.loss_cls: 0.5972, decode.d7.loss_mask: 0.6475, decode.d7.loss_dice: 0.9344, decode.d8.loss_cls: 0.5966, decode.d8.loss_mask: 0.6446, decode.d8.loss_dice: 0.9299, loss: 23.4603 2022-04-30 19:31:27,117 - mmseg - INFO - Iter [7050/80000] lr: 1.309e-06, eta: 1 day, 15:01:04, time: 1.953, data_time: 0.021, memory: 64716, decode.loss_cls: 0.5575, decode.loss_mask: 0.6510, decode.loss_dice: 0.9443, decode.d0.loss_cls: 1.6784, decode.d0.loss_mask: 0.6940, decode.d0.loss_dice: 1.1027, decode.d1.loss_cls: 0.6605, decode.d1.loss_mask: 0.6807, decode.d1.loss_dice: 1.0229, decode.d2.loss_cls: 0.6019, decode.d2.loss_mask: 0.6655, decode.d2.loss_dice: 0.9807, decode.d3.loss_cls: 0.5731, decode.d3.loss_mask: 0.6562, decode.d3.loss_dice: 0.9611, decode.d4.loss_cls: 0.5692, decode.d4.loss_mask: 0.6529, decode.d4.loss_dice: 0.9658, decode.d5.loss_cls: 0.5680, decode.d5.loss_mask: 0.6455, decode.d5.loss_dice: 0.9579, decode.d6.loss_cls: 0.5575, decode.d6.loss_mask: 0.6464, decode.d6.loss_dice: 0.9452, decode.d7.loss_cls: 0.5573, decode.d7.loss_mask: 0.6457, decode.d7.loss_dice: 0.9476, decode.d8.loss_cls: 0.5585, decode.d8.loss_mask: 0.6485, decode.d8.loss_dice: 0.9485, loss: 23.2450 2022-04-30 19:33:01,768 - mmseg - INFO - Iter [7100/80000] lr: 1.308e-06, eta: 1 day, 14:59:12, time: 1.894, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5540, decode.loss_mask: 0.6645, decode.loss_dice: 0.9373, decode.d0.loss_cls: 1.6889, decode.d0.loss_mask: 0.7134, decode.d0.loss_dice: 1.0872, decode.d1.loss_cls: 0.6522, decode.d1.loss_mask: 0.6938, decode.d1.loss_dice: 1.0138, decode.d2.loss_cls: 0.6018, decode.d2.loss_mask: 0.6702, decode.d2.loss_dice: 0.9788, decode.d3.loss_cls: 0.5790, decode.d3.loss_mask: 0.6707, decode.d3.loss_dice: 0.9481, decode.d4.loss_cls: 0.5673, decode.d4.loss_mask: 0.6668, decode.d4.loss_dice: 0.9539, decode.d5.loss_cls: 0.5682, decode.d5.loss_mask: 0.6665, decode.d5.loss_dice: 0.9400, decode.d6.loss_cls: 0.5574, decode.d6.loss_mask: 0.6610, decode.d6.loss_dice: 0.9336, decode.d7.loss_cls: 0.5541, decode.d7.loss_mask: 0.6631, decode.d7.loss_dice: 0.9341, decode.d8.loss_cls: 0.5565, decode.d8.loss_mask: 0.6627, decode.d8.loss_dice: 0.9365, loss: 23.2755 2022-04-30 19:34:36,890 - mmseg - INFO - Iter [7150/80000] lr: 1.307e-06, eta: 1 day, 14:57:23, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5762, decode.loss_mask: 0.6521, decode.loss_dice: 0.9444, decode.d0.loss_cls: 1.6825, decode.d0.loss_mask: 0.7003, decode.d0.loss_dice: 1.1086, decode.d1.loss_cls: 0.6812, decode.d1.loss_mask: 0.6788, decode.d1.loss_dice: 1.0299, decode.d2.loss_cls: 0.6214, decode.d2.loss_mask: 0.6632, decode.d2.loss_dice: 0.9768, decode.d3.loss_cls: 0.6009, decode.d3.loss_mask: 0.6531, decode.d3.loss_dice: 0.9582, decode.d4.loss_cls: 0.5865, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.5870, decode.d5.loss_mask: 0.6533, decode.d5.loss_dice: 0.9431, decode.d6.loss_cls: 0.5783, decode.d6.loss_mask: 0.6510, decode.d6.loss_dice: 0.9383, decode.d7.loss_cls: 0.5753, decode.d7.loss_mask: 0.6511, decode.d7.loss_dice: 0.9522, decode.d8.loss_cls: 0.5809, decode.d8.loss_mask: 0.6541, decode.d8.loss_dice: 0.9464, loss: 23.4354 2022-04-30 19:36:12,027 - mmseg - INFO - Iter [7200/80000] lr: 1.307e-06, eta: 1 day, 14:55:36, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5737, decode.loss_mask: 0.6449, decode.loss_dice: 0.9354, decode.d0.loss_cls: 1.7168, decode.d0.loss_mask: 0.6914, decode.d0.loss_dice: 1.0923, decode.d1.loss_cls: 0.6699, decode.d1.loss_mask: 0.6799, decode.d1.loss_dice: 1.0017, decode.d2.loss_cls: 0.6154, decode.d2.loss_mask: 0.6590, decode.d2.loss_dice: 0.9703, decode.d3.loss_cls: 0.5997, decode.d3.loss_mask: 0.6452, decode.d3.loss_dice: 0.9509, decode.d4.loss_cls: 0.5854, decode.d4.loss_mask: 0.6469, decode.d4.loss_dice: 0.9552, decode.d5.loss_cls: 0.5809, decode.d5.loss_mask: 0.6454, decode.d5.loss_dice: 0.9488, decode.d6.loss_cls: 0.5713, decode.d6.loss_mask: 0.6468, decode.d6.loss_dice: 0.9446, decode.d7.loss_cls: 0.5744, decode.d7.loss_mask: 0.6462, decode.d7.loss_dice: 0.9372, decode.d8.loss_cls: 0.5709, decode.d8.loss_mask: 0.6465, decode.d8.loss_dice: 0.9365, loss: 23.2833 2022-04-30 19:37:48,520 - mmseg - INFO - Iter [7250/80000] lr: 1.306e-06, eta: 1 day, 14:54:02, time: 1.929, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5488, decode.loss_mask: 0.6617, decode.loss_dice: 0.9270, decode.d0.loss_cls: 1.6673, decode.d0.loss_mask: 0.7090, decode.d0.loss_dice: 1.0863, decode.d1.loss_cls: 0.6494, decode.d1.loss_mask: 0.6939, decode.d1.loss_dice: 1.0069, decode.d2.loss_cls: 0.5964, decode.d2.loss_mask: 0.6782, decode.d2.loss_dice: 0.9725, decode.d3.loss_cls: 0.5700, decode.d3.loss_mask: 0.6694, decode.d3.loss_dice: 0.9430, decode.d4.loss_cls: 0.5611, decode.d4.loss_mask: 0.6646, decode.d4.loss_dice: 0.9384, decode.d5.loss_cls: 0.5477, decode.d5.loss_mask: 0.6622, decode.d5.loss_dice: 0.9371, decode.d6.loss_cls: 0.5497, decode.d6.loss_mask: 0.6559, decode.d6.loss_dice: 0.9240, decode.d7.loss_cls: 0.5463, decode.d7.loss_mask: 0.6627, decode.d7.loss_dice: 0.9331, decode.d8.loss_cls: 0.5535, decode.d8.loss_mask: 0.6596, decode.d8.loss_dice: 0.9306, loss: 23.1061 2022-04-30 19:39:24,607 - mmseg - INFO - Iter [7300/80000] lr: 1.305e-06, eta: 1 day, 14:52:24, time: 1.922, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5701, decode.loss_mask: 0.6630, decode.loss_dice: 0.9249, decode.d0.loss_cls: 1.6972, decode.d0.loss_mask: 0.7195, decode.d0.loss_dice: 1.0756, decode.d1.loss_cls: 0.6527, decode.d1.loss_mask: 0.6968, decode.d1.loss_dice: 1.0100, decode.d2.loss_cls: 0.6028, decode.d2.loss_mask: 0.6733, decode.d2.loss_dice: 0.9592, decode.d3.loss_cls: 0.5861, decode.d3.loss_mask: 0.6674, decode.d3.loss_dice: 0.9421, decode.d4.loss_cls: 0.5809, decode.d4.loss_mask: 0.6613, decode.d4.loss_dice: 0.9381, decode.d5.loss_cls: 0.5743, decode.d5.loss_mask: 0.6664, decode.d5.loss_dice: 0.9312, decode.d6.loss_cls: 0.5741, decode.d6.loss_mask: 0.6595, decode.d6.loss_dice: 0.9295, decode.d7.loss_cls: 0.5707, decode.d7.loss_mask: 0.6599, decode.d7.loss_dice: 0.9265, decode.d8.loss_cls: 0.5682, decode.d8.loss_mask: 0.6615, decode.d8.loss_dice: 0.9261, loss: 23.2690 2022-04-30 19:41:00,463 - mmseg - INFO - Iter [7350/80000] lr: 1.304e-06, eta: 1 day, 14:50:44, time: 1.917, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5862, decode.loss_mask: 0.6730, decode.loss_dice: 0.9417, decode.d0.loss_cls: 1.6917, decode.d0.loss_mask: 0.7168, decode.d0.loss_dice: 1.1030, decode.d1.loss_cls: 0.6839, decode.d1.loss_mask: 0.7046, decode.d1.loss_dice: 1.0179, decode.d2.loss_cls: 0.6316, decode.d2.loss_mask: 0.6857, decode.d2.loss_dice: 0.9850, decode.d3.loss_cls: 0.6093, decode.d3.loss_mask: 0.6735, decode.d3.loss_dice: 0.9576, decode.d4.loss_cls: 0.6011, decode.d4.loss_mask: 0.6710, decode.d4.loss_dice: 0.9594, decode.d5.loss_cls: 0.5900, decode.d5.loss_mask: 0.6734, decode.d5.loss_dice: 0.9531, decode.d6.loss_cls: 0.5815, decode.d6.loss_mask: 0.6725, decode.d6.loss_dice: 0.9440, decode.d7.loss_cls: 0.5834, decode.d7.loss_mask: 0.6746, decode.d7.loss_dice: 0.9503, decode.d8.loss_cls: 0.5809, decode.d8.loss_mask: 0.6763, decode.d8.loss_dice: 0.9499, loss: 23.7229 2022-04-30 19:42:34,485 - mmseg - INFO - Iter [7400/80000] lr: 1.303e-06, eta: 1 day, 14:48:46, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.6123, decode.loss_mask: 0.6803, decode.loss_dice: 0.9691, decode.d0.loss_cls: 1.7104, decode.d0.loss_mask: 0.7293, decode.d0.loss_dice: 1.1274, decode.d1.loss_cls: 0.7017, decode.d1.loss_mask: 0.7147, decode.d1.loss_dice: 1.0519, decode.d2.loss_cls: 0.6472, decode.d2.loss_mask: 0.6928, decode.d2.loss_dice: 1.0094, decode.d3.loss_cls: 0.6308, decode.d3.loss_mask: 0.6834, decode.d3.loss_dice: 0.9784, decode.d4.loss_cls: 0.6225, decode.d4.loss_mask: 0.6839, decode.d4.loss_dice: 0.9813, decode.d5.loss_cls: 0.6225, decode.d5.loss_mask: 0.6792, decode.d5.loss_dice: 0.9695, decode.d6.loss_cls: 0.6151, decode.d6.loss_mask: 0.6793, decode.d6.loss_dice: 0.9675, decode.d7.loss_cls: 0.6112, decode.d7.loss_mask: 0.6780, decode.d7.loss_dice: 0.9687, decode.d8.loss_cls: 0.6086, decode.d8.loss_mask: 0.6774, decode.d8.loss_dice: 0.9705, loss: 24.2747 2022-04-30 19:44:11,784 - mmseg - INFO - Iter [7450/80000] lr: 1.302e-06, eta: 1 day, 14:47:20, time: 1.946, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5678, decode.loss_mask: 0.6481, decode.loss_dice: 0.9269, decode.d0.loss_cls: 1.6838, decode.d0.loss_mask: 0.7057, decode.d0.loss_dice: 1.0847, decode.d1.loss_cls: 0.6516, decode.d1.loss_mask: 0.6906, decode.d1.loss_dice: 1.0119, decode.d2.loss_cls: 0.5994, decode.d2.loss_mask: 0.6725, decode.d2.loss_dice: 0.9680, decode.d3.loss_cls: 0.5817, decode.d3.loss_mask: 0.6579, decode.d3.loss_dice: 0.9462, decode.d4.loss_cls: 0.5746, decode.d4.loss_mask: 0.6583, decode.d4.loss_dice: 0.9429, decode.d5.loss_cls: 0.5705, decode.d5.loss_mask: 0.6529, decode.d5.loss_dice: 0.9367, decode.d6.loss_cls: 0.5592, decode.d6.loss_mask: 0.6531, decode.d6.loss_dice: 0.9299, decode.d7.loss_cls: 0.5549, decode.d7.loss_mask: 0.6530, decode.d7.loss_dice: 0.9302, decode.d8.loss_cls: 0.5589, decode.d8.loss_mask: 0.6494, decode.d8.loss_dice: 0.9322, loss: 23.1532 2022-04-30 19:45:47,588 - mmseg - INFO - Iter [7500/80000] lr: 1.301e-06, eta: 1 day, 14:45:40, time: 1.915, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5495, decode.loss_mask: 0.6696, decode.loss_dice: 0.9397, decode.d0.loss_cls: 1.6695, decode.d0.loss_mask: 0.7143, decode.d0.loss_dice: 1.0936, decode.d1.loss_cls: 0.6326, decode.d1.loss_mask: 0.7003, decode.d1.loss_dice: 1.0254, decode.d2.loss_cls: 0.5842, decode.d2.loss_mask: 0.6852, decode.d2.loss_dice: 0.9827, decode.d3.loss_cls: 0.5707, decode.d3.loss_mask: 0.6768, decode.d3.loss_dice: 0.9542, decode.d4.loss_cls: 0.5540, decode.d4.loss_mask: 0.6772, decode.d4.loss_dice: 0.9622, decode.d5.loss_cls: 0.5568, decode.d5.loss_mask: 0.6740, decode.d5.loss_dice: 0.9481, decode.d6.loss_cls: 0.5498, decode.d6.loss_mask: 0.6703, decode.d6.loss_dice: 0.9328, decode.d7.loss_cls: 0.5502, decode.d7.loss_mask: 0.6732, decode.d7.loss_dice: 0.9427, decode.d8.loss_cls: 0.5474, decode.d8.loss_mask: 0.6708, decode.d8.loss_dice: 0.9394, loss: 23.2972 2022-04-30 19:47:23,397 - mmseg - INFO - Iter [7550/80000] lr: 1.300e-06, eta: 1 day, 14:44:00, time: 1.917, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5593, decode.loss_mask: 0.6698, decode.loss_dice: 0.9496, decode.d0.loss_cls: 1.6849, decode.d0.loss_mask: 0.7108, decode.d0.loss_dice: 1.1100, decode.d1.loss_cls: 0.6509, decode.d1.loss_mask: 0.6938, decode.d1.loss_dice: 1.0244, decode.d2.loss_cls: 0.6055, decode.d2.loss_mask: 0.6830, decode.d2.loss_dice: 0.9877, decode.d3.loss_cls: 0.5808, decode.d3.loss_mask: 0.6705, decode.d3.loss_dice: 0.9636, decode.d4.loss_cls: 0.5757, decode.d4.loss_mask: 0.6704, decode.d4.loss_dice: 0.9609, decode.d5.loss_cls: 0.5706, decode.d5.loss_mask: 0.6690, decode.d5.loss_dice: 0.9515, decode.d6.loss_cls: 0.5648, decode.d6.loss_mask: 0.6648, decode.d6.loss_dice: 0.9444, decode.d7.loss_cls: 0.5650, decode.d7.loss_mask: 0.6674, decode.d7.loss_dice: 0.9428, decode.d8.loss_cls: 0.5594, decode.d8.loss_mask: 0.6697, decode.d8.loss_dice: 0.9511, loss: 23.4718 2022-04-30 19:49:01,541 - mmseg - INFO - Iter [7600/80000] lr: 1.299e-06, eta: 1 day, 14:42:41, time: 1.961, data_time: 0.065, memory: 64716, decode.loss_cls: 0.5461, decode.loss_mask: 0.6704, decode.loss_dice: 0.9552, decode.d0.loss_cls: 1.7032, decode.d0.loss_mask: 0.7069, decode.d0.loss_dice: 1.1074, decode.d1.loss_cls: 0.6590, decode.d1.loss_mask: 0.6970, decode.d1.loss_dice: 1.0343, decode.d2.loss_cls: 0.5954, decode.d2.loss_mask: 0.6816, decode.d2.loss_dice: 0.9846, decode.d3.loss_cls: 0.5745, decode.d3.loss_mask: 0.6741, decode.d3.loss_dice: 0.9692, decode.d4.loss_cls: 0.5694, decode.d4.loss_mask: 0.6737, decode.d4.loss_dice: 0.9626, decode.d5.loss_cls: 0.5657, decode.d5.loss_mask: 0.6691, decode.d5.loss_dice: 0.9591, decode.d6.loss_cls: 0.5610, decode.d6.loss_mask: 0.6675, decode.d6.loss_dice: 0.9422, decode.d7.loss_cls: 0.5542, decode.d7.loss_mask: 0.6692, decode.d7.loss_dice: 0.9506, decode.d8.loss_cls: 0.5495, decode.d8.loss_mask: 0.6696, decode.d8.loss_dice: 0.9556, loss: 23.4783 2022-04-30 19:50:36,147 - mmseg - INFO - Iter [7650/80000] lr: 1.299e-06, eta: 1 day, 14:40:50, time: 1.894, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5083, decode.loss_mask: 0.6464, decode.loss_dice: 0.9061, decode.d0.loss_cls: 1.6047, decode.d0.loss_mask: 0.7018, decode.d0.loss_dice: 1.0358, decode.d1.loss_cls: 0.6000, decode.d1.loss_mask: 0.6857, decode.d1.loss_dice: 0.9810, decode.d2.loss_cls: 0.5567, decode.d2.loss_mask: 0.6608, decode.d2.loss_dice: 0.9482, decode.d3.loss_cls: 0.5281, decode.d3.loss_mask: 0.6595, decode.d3.loss_dice: 0.9223, decode.d4.loss_cls: 0.5232, decode.d4.loss_mask: 0.6585, decode.d4.loss_dice: 0.9241, decode.d5.loss_cls: 0.5184, decode.d5.loss_mask: 0.6545, decode.d5.loss_dice: 0.9184, decode.d6.loss_cls: 0.5132, decode.d6.loss_mask: 0.6472, decode.d6.loss_dice: 0.9029, decode.d7.loss_cls: 0.5067, decode.d7.loss_mask: 0.6480, decode.d7.loss_dice: 0.9141, decode.d8.loss_cls: 0.5050, decode.d8.loss_mask: 0.6496, decode.d8.loss_dice: 0.9102, loss: 22.3398 2022-04-30 19:52:11,204 - mmseg - INFO - Iter [7700/80000] lr: 1.298e-06, eta: 1 day, 14:39:02, time: 1.900, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5809, decode.loss_mask: 0.6639, decode.loss_dice: 0.9324, decode.d0.loss_cls: 1.7121, decode.d0.loss_mask: 0.7103, decode.d0.loss_dice: 1.0906, decode.d1.loss_cls: 0.6738, decode.d1.loss_mask: 0.6987, decode.d1.loss_dice: 1.0166, decode.d2.loss_cls: 0.6278, decode.d2.loss_mask: 0.6709, decode.d2.loss_dice: 0.9716, decode.d3.loss_cls: 0.6079, decode.d3.loss_mask: 0.6629, decode.d3.loss_dice: 0.9438, decode.d4.loss_cls: 0.5977, decode.d4.loss_mask: 0.6657, decode.d4.loss_dice: 0.9447, decode.d5.loss_cls: 0.5992, decode.d5.loss_mask: 0.6656, decode.d5.loss_dice: 0.9374, decode.d6.loss_cls: 0.5867, decode.d6.loss_mask: 0.6666, decode.d6.loss_dice: 0.9318, decode.d7.loss_cls: 0.5860, decode.d7.loss_mask: 0.6658, decode.d7.loss_dice: 0.9356, decode.d8.loss_cls: 0.5772, decode.d8.loss_mask: 0.6655, decode.d8.loss_dice: 0.9399, loss: 23.5294 2022-04-30 19:53:48,314 - mmseg - INFO - Iter [7750/80000] lr: 1.297e-06, eta: 1 day, 14:37:34, time: 1.943, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5397, decode.loss_mask: 0.6557, decode.loss_dice: 0.9352, decode.d0.loss_cls: 1.6948, decode.d0.loss_mask: 0.7022, decode.d0.loss_dice: 1.0824, decode.d1.loss_cls: 0.6378, decode.d1.loss_mask: 0.6869, decode.d1.loss_dice: 1.0124, decode.d2.loss_cls: 0.5803, decode.d2.loss_mask: 0.6716, decode.d2.loss_dice: 0.9630, decode.d3.loss_cls: 0.5632, decode.d3.loss_mask: 0.6596, decode.d3.loss_dice: 0.9430, decode.d4.loss_cls: 0.5479, decode.d4.loss_mask: 0.6613, decode.d4.loss_dice: 0.9497, decode.d5.loss_cls: 0.5468, decode.d5.loss_mask: 0.6567, decode.d5.loss_dice: 0.9444, decode.d6.loss_cls: 0.5373, decode.d6.loss_mask: 0.6540, decode.d6.loss_dice: 0.9327, decode.d7.loss_cls: 0.5408, decode.d7.loss_mask: 0.6531, decode.d7.loss_dice: 0.9331, decode.d8.loss_cls: 0.5356, decode.d8.loss_mask: 0.6540, decode.d8.loss_dice: 0.9356, loss: 23.0106 2022-04-30 19:55:22,653 - mmseg - INFO - Iter [7800/80000] lr: 1.296e-06, eta: 1 day, 14:35:40, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5223, decode.loss_mask: 0.6623, decode.loss_dice: 0.9305, decode.d0.loss_cls: 1.6374, decode.d0.loss_mask: 0.7122, decode.d0.loss_dice: 1.0688, decode.d1.loss_cls: 0.6116, decode.d1.loss_mask: 0.6930, decode.d1.loss_dice: 1.0050, decode.d2.loss_cls: 0.5591, decode.d2.loss_mask: 0.6728, decode.d2.loss_dice: 0.9673, decode.d3.loss_cls: 0.5419, decode.d3.loss_mask: 0.6632, decode.d3.loss_dice: 0.9480, decode.d4.loss_cls: 0.5346, decode.d4.loss_mask: 0.6643, decode.d4.loss_dice: 0.9479, decode.d5.loss_cls: 0.5296, decode.d5.loss_mask: 0.6635, decode.d5.loss_dice: 0.9408, decode.d6.loss_cls: 0.5277, decode.d6.loss_mask: 0.6585, decode.d6.loss_dice: 0.9302, decode.d7.loss_cls: 0.5212, decode.d7.loss_mask: 0.6626, decode.d7.loss_dice: 0.9280, decode.d8.loss_cls: 0.5237, decode.d8.loss_mask: 0.6618, decode.d8.loss_dice: 0.9311, loss: 22.8211 2022-04-30 19:56:57,848 - mmseg - INFO - Iter [7850/80000] lr: 1.295e-06, eta: 1 day, 14:33:55, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5522, decode.loss_mask: 0.6689, decode.loss_dice: 0.9334, decode.d0.loss_cls: 1.6430, decode.d0.loss_mask: 0.7183, decode.d0.loss_dice: 1.0852, decode.d1.loss_cls: 0.6362, decode.d1.loss_mask: 0.6984, decode.d1.loss_dice: 1.0228, decode.d2.loss_cls: 0.5856, decode.d2.loss_mask: 0.6786, decode.d2.loss_dice: 0.9706, decode.d3.loss_cls: 0.5713, decode.d3.loss_mask: 0.6766, decode.d3.loss_dice: 0.9521, decode.d4.loss_cls: 0.5667, decode.d4.loss_mask: 0.6694, decode.d4.loss_dice: 0.9468, decode.d5.loss_cls: 0.5636, decode.d5.loss_mask: 0.6735, decode.d5.loss_dice: 0.9423, decode.d6.loss_cls: 0.5589, decode.d6.loss_mask: 0.6660, decode.d6.loss_dice: 0.9336, decode.d7.loss_cls: 0.5544, decode.d7.loss_mask: 0.6660, decode.d7.loss_dice: 0.9402, decode.d8.loss_cls: 0.5541, decode.d8.loss_mask: 0.6623, decode.d8.loss_dice: 0.9396, loss: 23.2309 2022-04-30 19:58:32,166 - mmseg - INFO - Iter [7900/80000] lr: 1.294e-06, eta: 1 day, 14:32:02, time: 1.888, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5544, decode.loss_mask: 0.6679, decode.loss_dice: 0.9275, decode.d0.loss_cls: 1.6511, decode.d0.loss_mask: 0.7148, decode.d0.loss_dice: 1.0813, decode.d1.loss_cls: 0.6438, decode.d1.loss_mask: 0.7060, decode.d1.loss_dice: 1.0206, decode.d2.loss_cls: 0.5937, decode.d2.loss_mask: 0.6859, decode.d2.loss_dice: 0.9815, decode.d3.loss_cls: 0.5735, decode.d3.loss_mask: 0.6773, decode.d3.loss_dice: 0.9531, decode.d4.loss_cls: 0.5627, decode.d4.loss_mask: 0.6763, decode.d4.loss_dice: 0.9534, decode.d5.loss_cls: 0.5522, decode.d5.loss_mask: 0.6738, decode.d5.loss_dice: 0.9502, decode.d6.loss_cls: 0.5568, decode.d6.loss_mask: 0.6689, decode.d6.loss_dice: 0.9353, decode.d7.loss_cls: 0.5542, decode.d7.loss_mask: 0.6651, decode.d7.loss_dice: 0.9380, decode.d8.loss_cls: 0.5546, decode.d8.loss_mask: 0.6635, decode.d8.loss_dice: 0.9288, loss: 23.2660 2022-04-30 20:00:05,577 - mmseg - INFO - Iter [7950/80000] lr: 1.293e-06, eta: 1 day, 14:30:00, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5346, decode.loss_mask: 0.6462, decode.loss_dice: 0.9098, decode.d0.loss_cls: 1.6690, decode.d0.loss_mask: 0.7003, decode.d0.loss_dice: 1.0580, decode.d1.loss_cls: 0.6416, decode.d1.loss_mask: 0.6803, decode.d1.loss_dice: 0.9909, decode.d2.loss_cls: 0.5783, decode.d2.loss_mask: 0.6662, decode.d2.loss_dice: 0.9508, decode.d3.loss_cls: 0.5584, decode.d3.loss_mask: 0.6559, decode.d3.loss_dice: 0.9301, decode.d4.loss_cls: 0.5561, decode.d4.loss_mask: 0.6559, decode.d4.loss_dice: 0.9217, decode.d5.loss_cls: 0.5471, decode.d5.loss_mask: 0.6540, decode.d5.loss_dice: 0.9220, decode.d6.loss_cls: 0.5449, decode.d6.loss_mask: 0.6495, decode.d6.loss_dice: 0.9098, decode.d7.loss_cls: 0.5430, decode.d7.loss_mask: 0.6472, decode.d7.loss_dice: 0.9163, decode.d8.loss_cls: 0.5458, decode.d8.loss_mask: 0.6468, decode.d8.loss_dice: 0.9079, loss: 22.7384 2022-04-30 20:01:40,718 - mmseg - INFO - Saving checkpoint at 8000 iterations 2022-04-30 20:02:14,878 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 20:02:14,878 - mmseg - INFO - Iter [8000/80000] lr: 1.292e-06, eta: 1 day, 14:33:22, time: 2.587, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5545, decode.loss_mask: 0.6659, decode.loss_dice: 0.9334, decode.d0.loss_cls: 1.6623, decode.d0.loss_mask: 0.7130, decode.d0.loss_dice: 1.0879, decode.d1.loss_cls: 0.6406, decode.d1.loss_mask: 0.7047, decode.d1.loss_dice: 1.0234, decode.d2.loss_cls: 0.5938, decode.d2.loss_mask: 0.6842, decode.d2.loss_dice: 0.9774, decode.d3.loss_cls: 0.5784, decode.d3.loss_mask: 0.6721, decode.d3.loss_dice: 0.9560, decode.d4.loss_cls: 0.5671, decode.d4.loss_mask: 0.6683, decode.d4.loss_dice: 0.9434, decode.d5.loss_cls: 0.5671, decode.d5.loss_mask: 0.6624, decode.d5.loss_dice: 0.9424, decode.d6.loss_cls: 0.5632, decode.d6.loss_mask: 0.6561, decode.d6.loss_dice: 0.9322, decode.d7.loss_cls: 0.5548, decode.d7.loss_mask: 0.6608, decode.d7.loss_dice: 0.9333, decode.d8.loss_cls: 0.5559, decode.d8.loss_mask: 0.6596, decode.d8.loss_dice: 0.9367, loss: 23.2508 2022-04-30 20:05:16,209 - mmseg - INFO - per class results: 2022-04-30 20:05:16,218 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.57 | 89.46 | | building | 83.58 | 90.08 | | sky | 95.15 | 97.57 | | floor | 83.59 | 88.78 | | tree | 78.08 | 88.58 | | ceiling | 87.6 | 94.68 | | road | 85.23 | 88.76 | | bed | 93.59 | 97.21 | | windowpane | 65.38 | 81.93 | | grass | 65.81 | 76.38 | | cabinet | 64.79 | 77.77 | | sidewalk | 67.59 | 87.38 | | person | 87.39 | 93.09 | | earth | 41.06 | 54.44 | | door | 56.1 | 68.99 | | table | 70.59 | 83.99 | | mountain | 65.57 | 79.83 | | plant | 58.08 | 74.97 | | curtain | 80.33 | 90.4 | | chair | 62.1 | 81.52 | | car | 88.98 | 94.23 | | water | 55.74 | 71.92 | | painting | 77.59 | 91.24 | | sofa | 79.98 | 91.38 | | shelf | 48.82 | 62.75 | | house | 46.2 | 78.82 | | sea | 63.33 | 91.35 | | mirror | 73.37 | 86.64 | | rug | 66.09 | 89.92 | | field | 30.84 | 74.52 | | armchair | 37.66 | 42.13 | | seat | 68.29 | 91.38 | | fence | 50.81 | 70.3 | | desk | 53.55 | 77.58 | | rock | 61.57 | 78.03 | | wardrobe | 59.89 | 77.36 | | lamp | 75.68 | 86.19 | | bathtub | 89.14 | 93.96 | | railing | 43.6 | 57.57 | | cushion | 71.88 | 85.1 | | base | 29.5 | 76.99 | | box | 36.93 | 49.4 | | column | 53.56 | 65.13 | | signboard | 45.9 | 60.83 | | chest of drawers | 40.28 | 67.88 | | counter | 47.91 | 61.97 | | sand | 65.15 | 87.8 | | sink | 78.86 | 83.59 | | skyscraper | 42.95 | 46.99 | | fireplace | 89.24 | 95.36 | | refrigerator | 81.22 | 84.81 | | grandstand | 49.02 | 72.26 | | path | 9.94 | 11.86 | | stairs | 47.19 | 62.84 | | runway | 74.93 | 95.37 | | case | 68.89 | 77.04 | | pool table | 94.77 | 98.2 | | pillow | 70.6 | 81.69 | | screen door | 70.15 | 74.79 | | stairway | 45.09 | 56.73 | | river | 27.0 | 31.92 | | bridge | 80.59 | 89.3 | | bookcase | 32.66 | 47.55 | | blind | 25.62 | 27.44 | | coffee table | 69.69 | 86.98 | | toilet | 90.62 | 94.26 | | flower | 45.01 | 70.71 | | book | 54.38 | 76.49 | | hill | 7.94 | 10.57 | | bench | 66.27 | 83.78 | | countertop | 60.34 | 80.09 | | stove | 84.77 | 91.91 | | palm | 59.99 | 82.79 | | kitchen island | 43.63 | 61.62 | | computer | 81.39 | 92.03 | | swivel chair | 50.91 | 76.31 | | boat | 86.41 | 89.18 | | bar | 52.58 | 55.51 | | arcade machine | 39.84 | 42.07 | | hovel | 16.95 | 18.8 | | bus | 94.9 | 96.3 | | towel | 74.46 | 91.53 | | light | 61.65 | 78.24 | | truck | 50.39 | 68.38 | | tower | 4.51 | 6.55 | | chandelier | 68.61 | 81.81 | | awning | 37.88 | 49.5 | | streetlight | 41.26 | 59.04 | | booth | 43.04 | 62.44 | | television receiver | 81.7 | 88.24 | | airplane | 67.58 | 71.24 | | dirt track | 11.2 | 19.58 | | apparel | 49.84 | 74.42 | | pole | 40.21 | 59.25 | | land | 4.56 | 5.85 | | bannister | 21.06 | 36.22 | | escalator | 61.01 | 74.59 | | ottoman | 53.52 | 70.79 | | bottle | 35.02 | 46.65 | | buffet | 11.03 | 11.5 | | poster | 36.03 | 46.32 | | stage | 17.82 | 39.56 | | van | 44.52 | 64.61 | | ship | 33.05 | 35.17 | | fountain | 21.25 | 21.76 | | conveyer belt | 67.95 | 96.65 | | canopy | 50.77 | 58.48 | | washer | 84.72 | 89.37 | | plaything | 47.06 | 65.15 | | swimming pool | 41.33 | 74.6 | | stool | 54.44 | 84.13 | | barrel | 75.03 | 92.81 | | basket | 41.47 | 62.22 | | waterfall | 43.21 | 45.86 | | tent | 95.87 | 97.82 | | bag | 28.63 | 42.51 | | minibike | 77.18 | 90.96 | | cradle | 87.03 | 97.92 | | oven | 57.96 | 65.9 | | ball | 64.33 | 76.83 | | food | 70.55 | 89.57 | | step | 20.93 | 28.25 | | tank | 48.36 | 56.3 | | trade name | 40.95 | 52.51 | | microwave | 92.48 | 97.02 | | pot | 58.48 | 71.65 | | animal | 83.56 | 86.76 | | bicycle | 66.11 | 83.02 | | lake | 0.0 | 0.0 | | dishwasher | 67.23 | 79.53 | | screen | 64.36 | 92.5 | | blanket | 28.03 | 38.34 | | sculpture | 67.63 | 89.3 | | hood | 70.01 | 75.89 | | sconce | 57.3 | 66.7 | | vase | 54.25 | 74.99 | | traffic light | 51.91 | 72.09 | | tray | 23.52 | 34.29 | | ashcan | 46.07 | 81.7 | | fan | 67.31 | 83.66 | | pier | 38.51 | 43.39 | | crt screen | 0.11 | 0.29 | | plate | 67.12 | 82.8 | | monitor | 14.07 | 16.24 | | bulletin board | 41.24 | 72.12 | | shower | 3.48 | 29.89 | | radiator | 57.73 | 72.52 | | glass | 26.77 | 30.79 | | clock | 42.66 | 47.76 | | flag | 74.66 | 87.3 | +---------------------+-------+-------+ 2022-04-30 20:05:16,218 - mmseg - INFO - Summary: 2022-04-30 20:05:16,219 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.42 | 55.76 | 68.91 | +-------+-------+-------+ 2022-04-30 20:05:50,130 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2022-04-30 20:05:50,149 - mmseg - INFO - Best mIoU is 0.5576 at 8000 iter. 2022-04-30 20:05:50,173 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 20:05:50,174 - mmseg - INFO - Iter(val) [125] aAcc: 0.8542, mIoU: 0.5576, mAcc: 0.6891, IoU.wall: 0.8157, IoU.building: 0.8358, IoU.sky: 0.9515, IoU.floor: 0.8359, IoU.tree: 0.7808, IoU.ceiling: 0.8760, IoU.road: 0.8523, IoU.bed : 0.9359, IoU.windowpane: 0.6538, IoU.grass: 0.6581, IoU.cabinet: 0.6479, IoU.sidewalk: 0.6759, IoU.person: 0.8739, IoU.earth: 0.4106, IoU.door: 0.5610, IoU.table: 0.7059, IoU.mountain: 0.6557, IoU.plant: 0.5808, IoU.curtain: 0.8033, IoU.chair: 0.6210, IoU.car: 0.8898, IoU.water: 0.5574, IoU.painting: 0.7759, IoU.sofa: 0.7998, IoU.shelf: 0.4882, IoU.house: 0.4620, IoU.sea: 0.6333, IoU.mirror: 0.7337, IoU.rug: 0.6609, IoU.field: 0.3084, IoU.armchair: 0.3766, IoU.seat: 0.6829, IoU.fence: 0.5081, IoU.desk: 0.5355, IoU.rock: 0.6157, IoU.wardrobe: 0.5989, IoU.lamp: 0.7568, IoU.bathtub: 0.8914, IoU.railing: 0.4360, IoU.cushion: 0.7188, IoU.base: 0.2950, IoU.box: 0.3693, IoU.column: 0.5356, IoU.signboard: 0.4590, IoU.chest of drawers: 0.4028, IoU.counter: 0.4791, IoU.sand: 0.6515, IoU.sink: 0.7886, IoU.skyscraper: 0.4295, IoU.fireplace: 0.8924, IoU.refrigerator: 0.8122, IoU.grandstand: 0.4902, IoU.path: 0.0994, IoU.stairs: 0.4719, IoU.runway: 0.7493, IoU.case: 0.6889, IoU.pool table: 0.9477, IoU.pillow: 0.7060, IoU.screen door: 0.7015, IoU.stairway: 0.4509, IoU.river: 0.2700, IoU.bridge: 0.8059, IoU.bookcase: 0.3266, IoU.blind: 0.2562, IoU.coffee table: 0.6969, IoU.toilet: 0.9062, IoU.flower: 0.4501, IoU.book: 0.5438, IoU.hill: 0.0794, IoU.bench: 0.6627, IoU.countertop: 0.6034, IoU.stove: 0.8477, IoU.palm: 0.5999, IoU.kitchen island: 0.4363, IoU.computer: 0.8139, IoU.swivel chair: 0.5091, IoU.boat: 0.8641, IoU.bar: 0.5258, IoU.arcade machine: 0.3984, IoU.hovel: 0.1695, IoU.bus: 0.9490, IoU.towel: 0.7446, IoU.light: 0.6165, IoU.truck: 0.5039, IoU.tower: 0.0451, IoU.chandelier: 0.6861, IoU.awning: 0.3788, IoU.streetlight: 0.4126, IoU.booth: 0.4304, IoU.television receiver: 0.8170, IoU.airplane: 0.6758, IoU.dirt track: 0.1120, IoU.apparel: 0.4984, IoU.pole: 0.4021, IoU.land: 0.0456, IoU.bannister: 0.2106, IoU.escalator: 0.6101, IoU.ottoman: 0.5352, IoU.bottle: 0.3502, IoU.buffet: 0.1103, IoU.poster: 0.3603, IoU.stage: 0.1782, IoU.van: 0.4452, IoU.ship: 0.3305, IoU.fountain: 0.2125, IoU.conveyer belt: 0.6795, IoU.canopy: 0.5077, IoU.washer: 0.8472, IoU.plaything: 0.4706, IoU.swimming pool: 0.4133, IoU.stool: 0.5444, IoU.barrel: 0.7503, IoU.basket: 0.4147, IoU.waterfall: 0.4321, IoU.tent: 0.9587, IoU.bag: 0.2863, IoU.minibike: 0.7718, IoU.cradle: 0.8703, IoU.oven: 0.5796, IoU.ball: 0.6433, IoU.food: 0.7055, IoU.step: 0.2093, IoU.tank: 0.4836, IoU.trade name: 0.4095, IoU.microwave: 0.9248, IoU.pot: 0.5848, IoU.animal: 0.8356, IoU.bicycle: 0.6611, IoU.lake: 0.0000, IoU.dishwasher: 0.6723, IoU.screen: 0.6436, IoU.blanket: 0.2803, IoU.sculpture: 0.6763, IoU.hood: 0.7001, IoU.sconce: 0.5730, IoU.vase: 0.5425, IoU.traffic light: 0.5191, IoU.tray: 0.2352, IoU.ashcan: 0.4607, IoU.fan: 0.6731, IoU.pier: 0.3851, IoU.crt screen: 0.0011, IoU.plate: 0.6712, IoU.monitor: 0.1407, IoU.bulletin board: 0.4124, IoU.shower: 0.0348, IoU.radiator: 0.5773, IoU.glass: 0.2677, IoU.clock: 0.4266, IoU.flag: 0.7466, Acc.wall: 0.8946, Acc.building: 0.9008, Acc.sky: 0.9757, Acc.floor: 0.8878, Acc.tree: 0.8858, Acc.ceiling: 0.9468, Acc.road: 0.8876, Acc.bed : 0.9721, Acc.windowpane: 0.8193, Acc.grass: 0.7638, Acc.cabinet: 0.7777, Acc.sidewalk: 0.8738, Acc.person: 0.9309, Acc.earth: 0.5444, Acc.door: 0.6899, Acc.table: 0.8399, Acc.mountain: 0.7983, Acc.plant: 0.7497, Acc.curtain: 0.9040, Acc.chair: 0.8152, Acc.car: 0.9423, Acc.water: 0.7192, Acc.painting: 0.9124, Acc.sofa: 0.9138, Acc.shelf: 0.6275, Acc.house: 0.7882, Acc.sea: 0.9135, Acc.mirror: 0.8664, Acc.rug: 0.8992, Acc.field: 0.7452, Acc.armchair: 0.4213, Acc.seat: 0.9138, Acc.fence: 0.7030, Acc.desk: 0.7758, Acc.rock: 0.7803, Acc.wardrobe: 0.7736, Acc.lamp: 0.8619, Acc.bathtub: 0.9396, Acc.railing: 0.5757, Acc.cushion: 0.8510, Acc.base: 0.7699, Acc.box: 0.4940, Acc.column: 0.6513, Acc.signboard: 0.6083, Acc.chest of drawers: 0.6788, Acc.counter: 0.6197, Acc.sand: 0.8780, Acc.sink: 0.8359, Acc.skyscraper: 0.4699, Acc.fireplace: 0.9536, Acc.refrigerator: 0.8481, Acc.grandstand: 0.7226, Acc.path: 0.1186, Acc.stairs: 0.6284, Acc.runway: 0.9537, Acc.case: 0.7704, Acc.pool table: 0.9820, Acc.pillow: 0.8169, Acc.screen door: 0.7479, Acc.stairway: 0.5673, Acc.river: 0.3192, Acc.bridge: 0.8930, Acc.bookcase: 0.4755, Acc.blind: 0.2744, Acc.coffee table: 0.8698, Acc.toilet: 0.9426, Acc.flower: 0.7071, Acc.book: 0.7649, Acc.hill: 0.1057, Acc.bench: 0.8378, Acc.countertop: 0.8009, Acc.stove: 0.9191, Acc.palm: 0.8279, Acc.kitchen island: 0.6162, Acc.computer: 0.9203, Acc.swivel chair: 0.7631, Acc.boat: 0.8918, Acc.bar: 0.5551, Acc.arcade machine: 0.4207, Acc.hovel: 0.1880, Acc.bus: 0.9630, Acc.towel: 0.9153, Acc.light: 0.7824, Acc.truck: 0.6838, Acc.tower: 0.0655, Acc.chandelier: 0.8181, Acc.awning: 0.4950, Acc.streetlight: 0.5904, Acc.booth: 0.6244, Acc.television receiver: 0.8824, Acc.airplane: 0.7124, Acc.dirt track: 0.1958, Acc.apparel: 0.7442, Acc.pole: 0.5925, Acc.land: 0.0585, Acc.bannister: 0.3622, Acc.escalator: 0.7459, Acc.ottoman: 0.7079, Acc.bottle: 0.4665, Acc.buffet: 0.1150, Acc.poster: 0.4632, Acc.stage: 0.3956, Acc.van: 0.6461, Acc.ship: 0.3517, Acc.fountain: 0.2176, Acc.conveyer belt: 0.9665, Acc.canopy: 0.5848, Acc.washer: 0.8937, Acc.plaything: 0.6515, Acc.swimming pool: 0.7460, Acc.stool: 0.8413, Acc.barrel: 0.9281, Acc.basket: 0.6222, Acc.waterfall: 0.4586, Acc.tent: 0.9782, Acc.bag: 0.4251, Acc.minibike: 0.9096, Acc.cradle: 0.9792, Acc.oven: 0.6590, Acc.ball: 0.7683, Acc.food: 0.8957, Acc.step: 0.2825, Acc.tank: 0.5630, Acc.trade name: 0.5251, Acc.microwave: 0.9702, Acc.pot: 0.7165, Acc.animal: 0.8676, Acc.bicycle: 0.8302, Acc.lake: 0.0000, Acc.dishwasher: 0.7953, Acc.screen: 0.9250, Acc.blanket: 0.3834, Acc.sculpture: 0.8930, Acc.hood: 0.7589, Acc.sconce: 0.6670, Acc.vase: 0.7499, Acc.traffic light: 0.7209, Acc.tray: 0.3429, Acc.ashcan: 0.8170, Acc.fan: 0.8366, Acc.pier: 0.4339, Acc.crt screen: 0.0029, Acc.plate: 0.8280, Acc.monitor: 0.1624, Acc.bulletin board: 0.7212, Acc.shower: 0.2989, Acc.radiator: 0.7252, Acc.glass: 0.3079, Acc.clock: 0.4776, Acc.flag: 0.8730 2022-04-30 20:07:26,453 - mmseg - INFO - Iter [8050/80000] lr: 1.291e-06, eta: 1 day, 15:03:49, time: 6.230, data_time: 4.324, memory: 64716, decode.loss_cls: 0.5304, decode.loss_mask: 0.6337, decode.loss_dice: 0.9061, decode.d0.loss_cls: 1.6746, decode.d0.loss_mask: 0.6857, decode.d0.loss_dice: 1.0553, decode.d1.loss_cls: 0.6280, decode.d1.loss_mask: 0.6659, decode.d1.loss_dice: 1.0042, decode.d2.loss_cls: 0.5626, decode.d2.loss_mask: 0.6483, decode.d2.loss_dice: 0.9505, decode.d3.loss_cls: 0.5466, decode.d3.loss_mask: 0.6415, decode.d3.loss_dice: 0.9230, decode.d4.loss_cls: 0.5449, decode.d4.loss_mask: 0.6401, decode.d4.loss_dice: 0.9208, decode.d5.loss_cls: 0.5431, decode.d5.loss_mask: 0.6345, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.5365, decode.d6.loss_mask: 0.6316, decode.d6.loss_dice: 0.9042, decode.d7.loss_cls: 0.5301, decode.d7.loss_mask: 0.6312, decode.d7.loss_dice: 0.9123, decode.d8.loss_cls: 0.5305, decode.d8.loss_mask: 0.6331, decode.d8.loss_dice: 0.9070, loss: 22.4751 2022-04-30 20:09:02,690 - mmseg - INFO - Iter [8100/80000] lr: 1.290e-06, eta: 1 day, 15:01:57, time: 1.923, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5390, decode.loss_mask: 0.6483, decode.loss_dice: 0.9182, decode.d0.loss_cls: 1.6783, decode.d0.loss_mask: 0.7136, decode.d0.loss_dice: 1.0846, decode.d1.loss_cls: 0.6412, decode.d1.loss_mask: 0.6884, decode.d1.loss_dice: 0.9922, decode.d2.loss_cls: 0.5936, decode.d2.loss_mask: 0.6595, decode.d2.loss_dice: 0.9501, decode.d3.loss_cls: 0.5607, decode.d3.loss_mask: 0.6547, decode.d3.loss_dice: 0.9279, decode.d4.loss_cls: 0.5527, decode.d4.loss_mask: 0.6538, decode.d4.loss_dice: 0.9338, decode.d5.loss_cls: 0.5555, decode.d5.loss_mask: 0.6499, decode.d5.loss_dice: 0.9228, decode.d6.loss_cls: 0.5491, decode.d6.loss_mask: 0.6502, decode.d6.loss_dice: 0.9118, decode.d7.loss_cls: 0.5413, decode.d7.loss_mask: 0.6472, decode.d7.loss_dice: 0.9127, decode.d8.loss_cls: 0.5433, decode.d8.loss_mask: 0.6497, decode.d8.loss_dice: 0.9148, loss: 22.8391 2022-04-30 20:10:39,117 - mmseg - INFO - Iter [8150/80000] lr: 1.290e-06, eta: 1 day, 15:00:09, time: 1.931, data_time: 0.019, memory: 64716, decode.loss_cls: 0.5624, decode.loss_mask: 0.6456, decode.loss_dice: 0.9135, decode.d0.loss_cls: 1.6526, decode.d0.loss_mask: 0.6952, decode.d0.loss_dice: 1.0726, decode.d1.loss_cls: 0.6483, decode.d1.loss_mask: 0.6728, decode.d1.loss_dice: 0.9923, decode.d2.loss_cls: 0.5977, decode.d2.loss_mask: 0.6591, decode.d2.loss_dice: 0.9514, decode.d3.loss_cls: 0.5759, decode.d3.loss_mask: 0.6513, decode.d3.loss_dice: 0.9362, decode.d4.loss_cls: 0.5682, decode.d4.loss_mask: 0.6486, decode.d4.loss_dice: 0.9338, decode.d5.loss_cls: 0.5666, decode.d5.loss_mask: 0.6505, decode.d5.loss_dice: 0.9340, decode.d6.loss_cls: 0.5647, decode.d6.loss_mask: 0.6456, decode.d6.loss_dice: 0.9176, decode.d7.loss_cls: 0.5600, decode.d7.loss_mask: 0.6413, decode.d7.loss_dice: 0.9247, decode.d8.loss_cls: 0.5587, decode.d8.loss_mask: 0.6456, decode.d8.loss_dice: 0.9234, loss: 22.9102 2022-04-30 20:12:12,993 - mmseg - INFO - Iter [8200/80000] lr: 1.289e-06, eta: 1 day, 14:57:58, time: 1.877, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5664, decode.loss_mask: 0.6631, decode.loss_dice: 0.9337, decode.d0.loss_cls: 1.6534, decode.d0.loss_mask: 0.7052, decode.d0.loss_dice: 1.0793, decode.d1.loss_cls: 0.6549, decode.d1.loss_mask: 0.7003, decode.d1.loss_dice: 1.0233, decode.d2.loss_cls: 0.6072, decode.d2.loss_mask: 0.6752, decode.d2.loss_dice: 0.9733, decode.d3.loss_cls: 0.5863, decode.d3.loss_mask: 0.6724, decode.d3.loss_dice: 0.9522, decode.d4.loss_cls: 0.5843, decode.d4.loss_mask: 0.6641, decode.d4.loss_dice: 0.9524, decode.d5.loss_cls: 0.5719, decode.d5.loss_mask: 0.6668, decode.d5.loss_dice: 0.9424, decode.d6.loss_cls: 0.5691, decode.d6.loss_mask: 0.6624, decode.d6.loss_dice: 0.9403, decode.d7.loss_cls: 0.5701, decode.d7.loss_mask: 0.6627, decode.d7.loss_dice: 0.9369, decode.d8.loss_cls: 0.5685, decode.d8.loss_mask: 0.6614, decode.d8.loss_dice: 0.9358, loss: 23.3352 2022-04-30 20:13:47,572 - mmseg - INFO - Iter [8250/80000] lr: 1.288e-06, eta: 1 day, 14:55:53, time: 1.891, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5569, decode.loss_mask: 0.6546, decode.loss_dice: 0.9454, decode.d0.loss_cls: 1.6745, decode.d0.loss_mask: 0.6947, decode.d0.loss_dice: 1.0759, decode.d1.loss_cls: 0.6444, decode.d1.loss_mask: 0.6791, decode.d1.loss_dice: 1.0293, decode.d2.loss_cls: 0.6070, decode.d2.loss_mask: 0.6697, decode.d2.loss_dice: 0.9774, decode.d3.loss_cls: 0.5791, decode.d3.loss_mask: 0.6588, decode.d3.loss_dice: 0.9569, decode.d4.loss_cls: 0.5646, decode.d4.loss_mask: 0.6587, decode.d4.loss_dice: 0.9609, decode.d5.loss_cls: 0.5636, decode.d5.loss_mask: 0.6572, decode.d5.loss_dice: 0.9563, decode.d6.loss_cls: 0.5661, decode.d6.loss_mask: 0.6537, decode.d6.loss_dice: 0.9462, decode.d7.loss_cls: 0.5628, decode.d7.loss_mask: 0.6523, decode.d7.loss_dice: 0.9473, decode.d8.loss_cls: 0.5606, decode.d8.loss_mask: 0.6530, decode.d8.loss_dice: 0.9486, loss: 23.2557 2022-04-30 20:15:22,412 - mmseg - INFO - Iter [8300/80000] lr: 1.287e-06, eta: 1 day, 14:53:51, time: 1.897, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5622, decode.loss_mask: 0.6669, decode.loss_dice: 0.9559, decode.d0.loss_cls: 1.6598, decode.d0.loss_mask: 0.7119, decode.d0.loss_dice: 1.1118, decode.d1.loss_cls: 0.6668, decode.d1.loss_mask: 0.6996, decode.d1.loss_dice: 1.0426, decode.d2.loss_cls: 0.6072, decode.d2.loss_mask: 0.6750, decode.d2.loss_dice: 1.0013, decode.d3.loss_cls: 0.5895, decode.d3.loss_mask: 0.6709, decode.d3.loss_dice: 0.9804, decode.d4.loss_cls: 0.5807, decode.d4.loss_mask: 0.6693, decode.d4.loss_dice: 0.9736, decode.d5.loss_cls: 0.5730, decode.d5.loss_mask: 0.6683, decode.d5.loss_dice: 0.9692, decode.d6.loss_cls: 0.5717, decode.d6.loss_mask: 0.6670, decode.d6.loss_dice: 0.9550, decode.d7.loss_cls: 0.5648, decode.d7.loss_mask: 0.6686, decode.d7.loss_dice: 0.9613, decode.d8.loss_cls: 0.5675, decode.d8.loss_mask: 0.6669, decode.d8.loss_dice: 0.9582, loss: 23.6169 2022-04-30 20:16:57,120 - mmseg - INFO - Iter [8350/80000] lr: 1.286e-06, eta: 1 day, 14:51:48, time: 1.894, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5462, decode.loss_mask: 0.6580, decode.loss_dice: 0.9480, decode.d0.loss_cls: 1.6505, decode.d0.loss_mask: 0.7109, decode.d0.loss_dice: 1.0903, decode.d1.loss_cls: 0.6455, decode.d1.loss_mask: 0.6824, decode.d1.loss_dice: 1.0157, decode.d2.loss_cls: 0.5951, decode.d2.loss_mask: 0.6675, decode.d2.loss_dice: 0.9738, decode.d3.loss_cls: 0.5666, decode.d3.loss_mask: 0.6633, decode.d3.loss_dice: 0.9534, decode.d4.loss_cls: 0.5597, decode.d4.loss_mask: 0.6574, decode.d4.loss_dice: 0.9526, decode.d5.loss_cls: 0.5556, decode.d5.loss_mask: 0.6618, decode.d5.loss_dice: 0.9478, decode.d6.loss_cls: 0.5464, decode.d6.loss_mask: 0.6587, decode.d6.loss_dice: 0.9500, decode.d7.loss_cls: 0.5464, decode.d7.loss_mask: 0.6556, decode.d7.loss_dice: 0.9468, decode.d8.loss_cls: 0.5475, decode.d8.loss_mask: 0.6555, decode.d8.loss_dice: 0.9486, loss: 23.1575 2022-04-30 20:18:33,267 - mmseg - INFO - Iter [8400/80000] lr: 1.285e-06, eta: 1 day, 14:49:57, time: 1.922, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5531, decode.loss_mask: 0.6375, decode.loss_dice: 0.9055, decode.d0.loss_cls: 1.6546, decode.d0.loss_mask: 0.6928, decode.d0.loss_dice: 1.0496, decode.d1.loss_cls: 0.6429, decode.d1.loss_mask: 0.6684, decode.d1.loss_dice: 0.9804, decode.d2.loss_cls: 0.5865, decode.d2.loss_mask: 0.6540, decode.d2.loss_dice: 0.9409, decode.d3.loss_cls: 0.5807, decode.d3.loss_mask: 0.6447, decode.d3.loss_dice: 0.9224, decode.d4.loss_cls: 0.5681, decode.d4.loss_mask: 0.6453, decode.d4.loss_dice: 0.9268, decode.d5.loss_cls: 0.5657, decode.d5.loss_mask: 0.6441, decode.d5.loss_dice: 0.9160, decode.d6.loss_cls: 0.5558, decode.d6.loss_mask: 0.6399, decode.d6.loss_dice: 0.9139, decode.d7.loss_cls: 0.5566, decode.d7.loss_mask: 0.6361, decode.d7.loss_dice: 0.9109, decode.d8.loss_cls: 0.5567, decode.d8.loss_mask: 0.6344, decode.d8.loss_dice: 0.9082, loss: 22.6925 2022-04-30 20:20:07,475 - mmseg - INFO - Iter [8450/80000] lr: 1.284e-06, eta: 1 day, 14:47:51, time: 1.885, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5320, decode.loss_mask: 0.6483, decode.loss_dice: 0.9185, decode.d0.loss_cls: 1.6418, decode.d0.loss_mask: 0.6959, decode.d0.loss_dice: 1.0645, decode.d1.loss_cls: 0.6375, decode.d1.loss_mask: 0.6809, decode.d1.loss_dice: 1.0009, decode.d2.loss_cls: 0.5831, decode.d2.loss_mask: 0.6578, decode.d2.loss_dice: 0.9623, decode.d3.loss_cls: 0.5529, decode.d3.loss_mask: 0.6578, decode.d3.loss_dice: 0.9402, decode.d4.loss_cls: 0.5445, decode.d4.loss_mask: 0.6522, decode.d4.loss_dice: 0.9326, decode.d5.loss_cls: 0.5435, decode.d5.loss_mask: 0.6518, decode.d5.loss_dice: 0.9282, decode.d6.loss_cls: 0.5304, decode.d6.loss_mask: 0.6478, decode.d6.loss_dice: 0.9182, decode.d7.loss_cls: 0.5340, decode.d7.loss_mask: 0.6502, decode.d7.loss_dice: 0.9258, decode.d8.loss_cls: 0.5413, decode.d8.loss_mask: 0.6509, decode.d8.loss_dice: 0.9248, loss: 22.7507 2022-04-30 20:21:41,893 - mmseg - INFO - Iter [8500/80000] lr: 1.283e-06, eta: 1 day, 14:45:47, time: 1.889, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5589, decode.loss_mask: 0.6442, decode.loss_dice: 0.9475, decode.d0.loss_cls: 1.6725, decode.d0.loss_mask: 0.6868, decode.d0.loss_dice: 1.0833, decode.d1.loss_cls: 0.6530, decode.d1.loss_mask: 0.6754, decode.d1.loss_dice: 1.0222, decode.d2.loss_cls: 0.5981, decode.d2.loss_mask: 0.6570, decode.d2.loss_dice: 0.9692, decode.d3.loss_cls: 0.5769, decode.d3.loss_mask: 0.6480, decode.d3.loss_dice: 0.9591, decode.d4.loss_cls: 0.5695, decode.d4.loss_mask: 0.6477, decode.d4.loss_dice: 0.9626, decode.d5.loss_cls: 0.5684, decode.d5.loss_mask: 0.6453, decode.d5.loss_dice: 0.9533, decode.d6.loss_cls: 0.5585, decode.d6.loss_mask: 0.6463, decode.d6.loss_dice: 0.9384, decode.d7.loss_cls: 0.5579, decode.d7.loss_mask: 0.6425, decode.d7.loss_dice: 0.9486, decode.d8.loss_cls: 0.5620, decode.d8.loss_mask: 0.6424, decode.d8.loss_dice: 0.9456, loss: 23.1412 2022-04-30 20:23:16,143 - mmseg - INFO - Iter [8550/80000] lr: 1.282e-06, eta: 1 day, 14:43:41, time: 1.884, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5409, decode.loss_mask: 0.6603, decode.loss_dice: 0.9342, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.7060, decode.d0.loss_dice: 1.0709, decode.d1.loss_cls: 0.6365, decode.d1.loss_mask: 0.6923, decode.d1.loss_dice: 1.0200, decode.d2.loss_cls: 0.5839, decode.d2.loss_mask: 0.6718, decode.d2.loss_dice: 0.9612, decode.d3.loss_cls: 0.5628, decode.d3.loss_mask: 0.6698, decode.d3.loss_dice: 0.9428, decode.d4.loss_cls: 0.5516, decode.d4.loss_mask: 0.6690, decode.d4.loss_dice: 0.9458, decode.d5.loss_cls: 0.5560, decode.d5.loss_mask: 0.6644, decode.d5.loss_dice: 0.9395, decode.d6.loss_cls: 0.5441, decode.d6.loss_mask: 0.6577, decode.d6.loss_dice: 0.9313, decode.d7.loss_cls: 0.5457, decode.d7.loss_mask: 0.6606, decode.d7.loss_dice: 0.9328, decode.d8.loss_cls: 0.5478, decode.d8.loss_mask: 0.6613, decode.d8.loss_dice: 0.9382, loss: 23.0262 2022-04-30 20:24:51,309 - mmseg - INFO - Iter [8600/80000] lr: 1.281e-06, eta: 1 day, 14:41:44, time: 1.904, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5592, decode.loss_mask: 0.6677, decode.loss_dice: 0.9330, decode.d0.loss_cls: 1.6578, decode.d0.loss_mask: 0.7140, decode.d0.loss_dice: 1.0855, decode.d1.loss_cls: 0.6510, decode.d1.loss_mask: 0.6957, decode.d1.loss_dice: 1.0142, decode.d2.loss_cls: 0.5994, decode.d2.loss_mask: 0.6763, decode.d2.loss_dice: 0.9747, decode.d3.loss_cls: 0.5750, decode.d3.loss_mask: 0.6742, decode.d3.loss_dice: 0.9539, decode.d4.loss_cls: 0.5674, decode.d4.loss_mask: 0.6747, decode.d4.loss_dice: 0.9598, decode.d5.loss_cls: 0.5681, decode.d5.loss_mask: 0.6714, decode.d5.loss_dice: 0.9490, decode.d6.loss_cls: 0.5561, decode.d6.loss_mask: 0.6654, decode.d6.loss_dice: 0.9428, decode.d7.loss_cls: 0.5583, decode.d7.loss_mask: 0.6666, decode.d7.loss_dice: 0.9433, decode.d8.loss_cls: 0.5558, decode.d8.loss_mask: 0.6683, decode.d8.loss_dice: 0.9374, loss: 23.3162 2022-04-30 20:26:26,135 - mmseg - INFO - Iter [8650/80000] lr: 1.281e-06, eta: 1 day, 14:39:44, time: 1.897, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5583, decode.loss_mask: 0.6351, decode.loss_dice: 0.8987, decode.d0.loss_cls: 1.6745, decode.d0.loss_mask: 0.6805, decode.d0.loss_dice: 1.0569, decode.d1.loss_cls: 0.6560, decode.d1.loss_mask: 0.6574, decode.d1.loss_dice: 0.9783, decode.d2.loss_cls: 0.5937, decode.d2.loss_mask: 0.6491, decode.d2.loss_dice: 0.9338, decode.d3.loss_cls: 0.5751, decode.d3.loss_mask: 0.6411, decode.d3.loss_dice: 0.9082, decode.d4.loss_cls: 0.5647, decode.d4.loss_mask: 0.6406, decode.d4.loss_dice: 0.9126, decode.d5.loss_cls: 0.5596, decode.d5.loss_mask: 0.6375, decode.d5.loss_dice: 0.9147, decode.d6.loss_cls: 0.5535, decode.d6.loss_mask: 0.6377, decode.d6.loss_dice: 0.9036, decode.d7.loss_cls: 0.5535, decode.d7.loss_mask: 0.6363, decode.d7.loss_dice: 0.8979, decode.d8.loss_cls: 0.5512, decode.d8.loss_mask: 0.6384, decode.d8.loss_dice: 0.9029, loss: 22.6011 2022-04-30 20:27:59,308 - mmseg - INFO - Iter [8700/80000] lr: 1.280e-06, eta: 1 day, 14:37:30, time: 1.863, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5561, decode.loss_mask: 0.6438, decode.loss_dice: 0.9119, decode.d0.loss_cls: 1.6791, decode.d0.loss_mask: 0.6804, decode.d0.loss_dice: 1.0518, decode.d1.loss_cls: 0.6568, decode.d1.loss_mask: 0.6682, decode.d1.loss_dice: 0.9874, decode.d2.loss_cls: 0.5986, decode.d2.loss_mask: 0.6512, decode.d2.loss_dice: 0.9562, decode.d3.loss_cls: 0.5748, decode.d3.loss_mask: 0.6529, decode.d3.loss_dice: 0.9371, decode.d4.loss_cls: 0.5685, decode.d4.loss_mask: 0.6503, decode.d4.loss_dice: 0.9338, decode.d5.loss_cls: 0.5633, decode.d5.loss_mask: 0.6445, decode.d5.loss_dice: 0.9292, decode.d6.loss_cls: 0.5577, decode.d6.loss_mask: 0.6435, decode.d6.loss_dice: 0.9189, decode.d7.loss_cls: 0.5541, decode.d7.loss_mask: 0.6451, decode.d7.loss_dice: 0.9191, decode.d8.loss_cls: 0.5503, decode.d8.loss_mask: 0.6458, decode.d8.loss_dice: 0.9211, loss: 22.8513 2022-04-30 20:29:34,573 - mmseg - INFO - Iter [8750/80000] lr: 1.279e-06, eta: 1 day, 14:35:34, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5793, decode.loss_mask: 0.6741, decode.loss_dice: 0.9543, decode.d0.loss_cls: 1.6913, decode.d0.loss_mask: 0.7341, decode.d0.loss_dice: 1.1206, decode.d1.loss_cls: 0.6640, decode.d1.loss_mask: 0.7151, decode.d1.loss_dice: 1.0428, decode.d2.loss_cls: 0.6284, decode.d2.loss_mask: 0.6906, decode.d2.loss_dice: 0.9957, decode.d3.loss_cls: 0.5948, decode.d3.loss_mask: 0.6812, decode.d3.loss_dice: 0.9775, decode.d4.loss_cls: 0.5879, decode.d4.loss_mask: 0.6826, decode.d4.loss_dice: 0.9766, decode.d5.loss_cls: 0.5804, decode.d5.loss_mask: 0.6816, decode.d5.loss_dice: 0.9660, decode.d6.loss_cls: 0.5792, decode.d6.loss_mask: 0.6766, decode.d6.loss_dice: 0.9663, decode.d7.loss_cls: 0.5817, decode.d7.loss_mask: 0.6731, decode.d7.loss_dice: 0.9576, decode.d8.loss_cls: 0.5832, decode.d8.loss_mask: 0.6750, decode.d8.loss_dice: 0.9630, loss: 23.8744 2022-04-30 20:31:07,435 - mmseg - INFO - Iter [8800/80000] lr: 1.278e-06, eta: 1 day, 14:33:19, time: 1.857, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5487, decode.loss_mask: 0.6580, decode.loss_dice: 0.9164, decode.d0.loss_cls: 1.6059, decode.d0.loss_mask: 0.7066, decode.d0.loss_dice: 1.0647, decode.d1.loss_cls: 0.6319, decode.d1.loss_mask: 0.6876, decode.d1.loss_dice: 0.9957, decode.d2.loss_cls: 0.5914, decode.d2.loss_mask: 0.6777, decode.d2.loss_dice: 0.9528, decode.d3.loss_cls: 0.5778, decode.d3.loss_mask: 0.6608, decode.d3.loss_dice: 0.9361, decode.d4.loss_cls: 0.5613, decode.d4.loss_mask: 0.6646, decode.d4.loss_dice: 0.9383, decode.d5.loss_cls: 0.5653, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9349, decode.d6.loss_cls: 0.5544, decode.d6.loss_mask: 0.6574, decode.d6.loss_dice: 0.9292, decode.d7.loss_cls: 0.5509, decode.d7.loss_mask: 0.6587, decode.d7.loss_dice: 0.9228, decode.d8.loss_cls: 0.5468, decode.d8.loss_mask: 0.6609, decode.d8.loss_dice: 0.9234, loss: 22.9456 2022-04-30 20:32:44,416 - mmseg - INFO - Iter [8850/80000] lr: 1.277e-06, eta: 1 day, 14:31:38, time: 1.940, data_time: 0.066, memory: 64716, decode.loss_cls: 0.5554, decode.loss_mask: 0.6338, decode.loss_dice: 0.9276, decode.d0.loss_cls: 1.6651, decode.d0.loss_mask: 0.6779, decode.d0.loss_dice: 1.0750, decode.d1.loss_cls: 0.6449, decode.d1.loss_mask: 0.6716, decode.d1.loss_dice: 1.0071, decode.d2.loss_cls: 0.5931, decode.d2.loss_mask: 0.6527, decode.d2.loss_dice: 0.9679, decode.d3.loss_cls: 0.5737, decode.d3.loss_mask: 0.6479, decode.d3.loss_dice: 0.9466, decode.d4.loss_cls: 0.5661, decode.d4.loss_mask: 0.6438, decode.d4.loss_dice: 0.9425, decode.d5.loss_cls: 0.5593, decode.d5.loss_mask: 0.6411, decode.d5.loss_dice: 0.9358, decode.d6.loss_cls: 0.5611, decode.d6.loss_mask: 0.6370, decode.d6.loss_dice: 0.9257, decode.d7.loss_cls: 0.5583, decode.d7.loss_mask: 0.6351, decode.d7.loss_dice: 0.9288, decode.d8.loss_cls: 0.5585, decode.d8.loss_mask: 0.6342, decode.d8.loss_dice: 0.9247, loss: 22.8921 2022-04-30 20:34:19,274 - mmseg - INFO - Iter [8900/80000] lr: 1.276e-06, eta: 1 day, 14:29:39, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5286, decode.loss_mask: 0.6401, decode.loss_dice: 0.9232, decode.d0.loss_cls: 1.6459, decode.d0.loss_mask: 0.6905, decode.d0.loss_dice: 1.0631, decode.d1.loss_cls: 0.6216, decode.d1.loss_mask: 0.6740, decode.d1.loss_dice: 1.0080, decode.d2.loss_cls: 0.5624, decode.d2.loss_mask: 0.6575, decode.d2.loss_dice: 0.9689, decode.d3.loss_cls: 0.5503, decode.d3.loss_mask: 0.6494, decode.d3.loss_dice: 0.9441, decode.d4.loss_cls: 0.5421, decode.d4.loss_mask: 0.6444, decode.d4.loss_dice: 0.9363, decode.d5.loss_cls: 0.5434, decode.d5.loss_mask: 0.6475, decode.d5.loss_dice: 0.9408, decode.d6.loss_cls: 0.5325, decode.d6.loss_mask: 0.6408, decode.d6.loss_dice: 0.9248, decode.d7.loss_cls: 0.5272, decode.d7.loss_mask: 0.6434, decode.d7.loss_dice: 0.9269, decode.d8.loss_cls: 0.5248, decode.d8.loss_mask: 0.6433, decode.d8.loss_dice: 0.9243, loss: 22.6702 2022-04-30 20:35:54,658 - mmseg - INFO - Iter [8950/80000] lr: 1.275e-06, eta: 1 day, 14:27:46, time: 1.908, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5183, decode.loss_mask: 0.6400, decode.loss_dice: 0.9292, decode.d0.loss_cls: 1.6074, decode.d0.loss_mask: 0.6907, decode.d0.loss_dice: 1.0766, decode.d1.loss_cls: 0.6178, decode.d1.loss_mask: 0.6770, decode.d1.loss_dice: 1.0044, decode.d2.loss_cls: 0.5611, decode.d2.loss_mask: 0.6537, decode.d2.loss_dice: 0.9647, decode.d3.loss_cls: 0.5449, decode.d3.loss_mask: 0.6436, decode.d3.loss_dice: 0.9451, decode.d4.loss_cls: 0.5316, decode.d4.loss_mask: 0.6460, decode.d4.loss_dice: 0.9457, decode.d5.loss_cls: 0.5317, decode.d5.loss_mask: 0.6407, decode.d5.loss_dice: 0.9343, decode.d6.loss_cls: 0.5329, decode.d6.loss_mask: 0.6367, decode.d6.loss_dice: 0.9247, decode.d7.loss_cls: 0.5246, decode.d7.loss_mask: 0.6375, decode.d7.loss_dice: 0.9210, decode.d8.loss_cls: 0.5171, decode.d8.loss_mask: 0.6376, decode.d8.loss_dice: 0.9278, loss: 22.5641 2022-04-30 20:37:27,838 - mmseg - INFO - Saving checkpoint at 9000 iterations 2022-04-30 20:37:45,776 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 20:37:45,815 - mmseg - INFO - Iter [9000/80000] lr: 1.274e-06, eta: 1 day, 14:27:54, time: 2.218, data_time: 0.014, memory: 64716, decode.loss_cls: 0.5360, decode.loss_mask: 0.6449, decode.loss_dice: 0.9104, decode.d0.loss_cls: 1.6308, decode.d0.loss_mask: 0.6934, decode.d0.loss_dice: 1.0512, decode.d1.loss_cls: 0.6195, decode.d1.loss_mask: 0.6815, decode.d1.loss_dice: 0.9896, decode.d2.loss_cls: 0.5730, decode.d2.loss_mask: 0.6573, decode.d2.loss_dice: 0.9440, decode.d3.loss_cls: 0.5535, decode.d3.loss_mask: 0.6520, decode.d3.loss_dice: 0.9225, decode.d4.loss_cls: 0.5368, decode.d4.loss_mask: 0.6517, decode.d4.loss_dice: 0.9248, decode.d5.loss_cls: 0.5407, decode.d5.loss_mask: 0.6501, decode.d5.loss_dice: 0.9234, decode.d6.loss_cls: 0.5327, decode.d6.loss_mask: 0.6519, decode.d6.loss_dice: 0.9187, decode.d7.loss_cls: 0.5292, decode.d7.loss_mask: 0.6505, decode.d7.loss_dice: 0.9152, decode.d8.loss_cls: 0.5322, decode.d8.loss_mask: 0.6482, decode.d8.loss_dice: 0.9158, loss: 22.5816 2022-04-30 20:39:22,322 - mmseg - INFO - Iter [9050/80000] lr: 1.273e-06, eta: 1 day, 14:26:11, time: 1.936, data_time: 0.020, memory: 64716, decode.loss_cls: 0.5545, decode.loss_mask: 0.6702, decode.loss_dice: 0.9372, decode.d0.loss_cls: 1.6572, decode.d0.loss_mask: 0.7108, decode.d0.loss_dice: 1.0741, decode.d1.loss_cls: 0.6363, decode.d1.loss_mask: 0.6967, decode.d1.loss_dice: 1.0059, decode.d2.loss_cls: 0.5900, decode.d2.loss_mask: 0.6837, decode.d2.loss_dice: 0.9613, decode.d3.loss_cls: 0.5655, decode.d3.loss_mask: 0.6730, decode.d3.loss_dice: 0.9461, decode.d4.loss_cls: 0.5572, decode.d4.loss_mask: 0.6706, decode.d4.loss_dice: 0.9427, decode.d5.loss_cls: 0.5580, decode.d5.loss_mask: 0.6738, decode.d5.loss_dice: 0.9429, decode.d6.loss_cls: 0.5524, decode.d6.loss_mask: 0.6649, decode.d6.loss_dice: 0.9336, decode.d7.loss_cls: 0.5515, decode.d7.loss_mask: 0.6670, decode.d7.loss_dice: 0.9353, decode.d8.loss_cls: 0.5504, decode.d8.loss_mask: 0.6657, decode.d8.loss_dice: 0.9402, loss: 23.1688 2022-04-30 20:40:56,690 - mmseg - INFO - Iter [9100/80000] lr: 1.272e-06, eta: 1 day, 14:24:09, time: 1.886, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5479, decode.loss_mask: 0.6280, decode.loss_dice: 0.9156, decode.d0.loss_cls: 1.5981, decode.d0.loss_mask: 0.6760, decode.d0.loss_dice: 1.0523, decode.d1.loss_cls: 0.6242, decode.d1.loss_mask: 0.6484, decode.d1.loss_dice: 0.9840, decode.d2.loss_cls: 0.5832, decode.d2.loss_mask: 0.6319, decode.d2.loss_dice: 0.9410, decode.d3.loss_cls: 0.5717, decode.d3.loss_mask: 0.6233, decode.d3.loss_dice: 0.9201, decode.d4.loss_cls: 0.5654, decode.d4.loss_mask: 0.6237, decode.d4.loss_dice: 0.9153, decode.d5.loss_cls: 0.5586, decode.d5.loss_mask: 0.6265, decode.d5.loss_dice: 0.9137, decode.d6.loss_cls: 0.5552, decode.d6.loss_mask: 0.6225, decode.d6.loss_dice: 0.9097, decode.d7.loss_cls: 0.5487, decode.d7.loss_mask: 0.6280, decode.d7.loss_dice: 0.9121, decode.d8.loss_cls: 0.5495, decode.d8.loss_mask: 0.6288, decode.d8.loss_dice: 0.9141, loss: 22.4174 2022-04-30 20:42:30,222 - mmseg - INFO - Iter [9150/80000] lr: 1.272e-06, eta: 1 day, 14:22:01, time: 1.871, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5280, decode.loss_mask: 0.6394, decode.loss_dice: 0.9080, decode.d0.loss_cls: 1.6458, decode.d0.loss_mask: 0.6934, decode.d0.loss_dice: 1.0480, decode.d1.loss_cls: 0.6220, decode.d1.loss_mask: 0.6701, decode.d1.loss_dice: 0.9876, decode.d2.loss_cls: 0.5742, decode.d2.loss_mask: 0.6607, decode.d2.loss_dice: 0.9403, decode.d3.loss_cls: 0.5553, decode.d3.loss_mask: 0.6492, decode.d3.loss_dice: 0.9178, decode.d4.loss_cls: 0.5402, decode.d4.loss_mask: 0.6452, decode.d4.loss_dice: 0.9164, decode.d5.loss_cls: 0.5398, decode.d5.loss_mask: 0.6385, decode.d5.loss_dice: 0.9159, decode.d6.loss_cls: 0.5311, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9046, decode.d7.loss_cls: 0.5345, decode.d7.loss_mask: 0.6371, decode.d7.loss_dice: 0.8986, decode.d8.loss_cls: 0.5297, decode.d8.loss_mask: 0.6381, decode.d8.loss_dice: 0.9038, loss: 22.4489 2022-04-30 20:44:04,983 - mmseg - INFO - Iter [9200/80000] lr: 1.271e-06, eta: 1 day, 14:20:02, time: 1.896, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5582, decode.loss_mask: 0.6715, decode.loss_dice: 0.9229, decode.d0.loss_cls: 1.6344, decode.d0.loss_mask: 0.7204, decode.d0.loss_dice: 1.0830, decode.d1.loss_cls: 0.6420, decode.d1.loss_mask: 0.7069, decode.d1.loss_dice: 1.0237, decode.d2.loss_cls: 0.5845, decode.d2.loss_mask: 0.6842, decode.d2.loss_dice: 0.9659, decode.d3.loss_cls: 0.5656, decode.d3.loss_mask: 0.6777, decode.d3.loss_dice: 0.9475, decode.d4.loss_cls: 0.5625, decode.d4.loss_mask: 0.6792, decode.d4.loss_dice: 0.9412, decode.d5.loss_cls: 0.5590, decode.d5.loss_mask: 0.6804, decode.d5.loss_dice: 0.9448, decode.d6.loss_cls: 0.5532, decode.d6.loss_mask: 0.6725, decode.d6.loss_dice: 0.9343, decode.d7.loss_cls: 0.5481, decode.d7.loss_mask: 0.6708, decode.d7.loss_dice: 0.9326, decode.d8.loss_cls: 0.5505, decode.d8.loss_mask: 0.6726, decode.d8.loss_dice: 0.9366, loss: 23.2268 2022-04-30 20:45:38,335 - mmseg - INFO - Iter [9250/80000] lr: 1.270e-06, eta: 1 day, 14:17:54, time: 1.867, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5456, decode.loss_mask: 0.6300, decode.loss_dice: 0.9195, decode.d0.loss_cls: 1.6300, decode.d0.loss_mask: 0.6915, decode.d0.loss_dice: 1.0661, decode.d1.loss_cls: 0.6526, decode.d1.loss_mask: 0.6609, decode.d1.loss_dice: 1.0040, decode.d2.loss_cls: 0.5869, decode.d2.loss_mask: 0.6448, decode.d2.loss_dice: 0.9636, decode.d3.loss_cls: 0.5827, decode.d3.loss_mask: 0.6344, decode.d3.loss_dice: 0.9349, decode.d4.loss_cls: 0.5669, decode.d4.loss_mask: 0.6350, decode.d4.loss_dice: 0.9379, decode.d5.loss_cls: 0.5678, decode.d5.loss_mask: 0.6313, decode.d5.loss_dice: 0.9321, decode.d6.loss_cls: 0.5537, decode.d6.loss_mask: 0.6287, decode.d6.loss_dice: 0.9216, decode.d7.loss_cls: 0.5489, decode.d7.loss_mask: 0.6291, decode.d7.loss_dice: 0.9265, decode.d8.loss_cls: 0.5513, decode.d8.loss_mask: 0.6272, decode.d8.loss_dice: 0.9263, loss: 22.7319 2022-04-30 20:47:12,381 - mmseg - INFO - Iter [9300/80000] lr: 1.269e-06, eta: 1 day, 14:15:50, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5316, decode.loss_mask: 0.6372, decode.loss_dice: 0.9357, decode.d0.loss_cls: 1.6696, decode.d0.loss_mask: 0.6875, decode.d0.loss_dice: 1.0852, decode.d1.loss_cls: 0.6398, decode.d1.loss_mask: 0.6633, decode.d1.loss_dice: 1.0136, decode.d2.loss_cls: 0.5782, decode.d2.loss_mask: 0.6487, decode.d2.loss_dice: 0.9765, decode.d3.loss_cls: 0.5589, decode.d3.loss_mask: 0.6431, decode.d3.loss_dice: 0.9544, decode.d4.loss_cls: 0.5459, decode.d4.loss_mask: 0.6399, decode.d4.loss_dice: 0.9538, decode.d5.loss_cls: 0.5491, decode.d5.loss_mask: 0.6375, decode.d5.loss_dice: 0.9453, decode.d6.loss_cls: 0.5297, decode.d6.loss_mask: 0.6325, decode.d6.loss_dice: 0.9315, decode.d7.loss_cls: 0.5237, decode.d7.loss_mask: 0.6362, decode.d7.loss_dice: 0.9396, decode.d8.loss_cls: 0.5300, decode.d8.loss_mask: 0.6338, decode.d8.loss_dice: 0.9370, loss: 22.7890 2022-04-30 20:48:45,927 - mmseg - INFO - Iter [9350/80000] lr: 1.268e-06, eta: 1 day, 14:13:43, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5218, decode.loss_mask: 0.6654, decode.loss_dice: 0.9198, decode.d0.loss_cls: 1.6179, decode.d0.loss_mask: 0.7169, decode.d0.loss_dice: 1.0699, decode.d1.loss_cls: 0.6051, decode.d1.loss_mask: 0.6976, decode.d1.loss_dice: 1.0043, decode.d2.loss_cls: 0.5628, decode.d2.loss_mask: 0.6761, decode.d2.loss_dice: 0.9543, decode.d3.loss_cls: 0.5501, decode.d3.loss_mask: 0.6671, decode.d3.loss_dice: 0.9354, decode.d4.loss_cls: 0.5292, decode.d4.loss_mask: 0.6682, decode.d4.loss_dice: 0.9394, decode.d5.loss_cls: 0.5282, decode.d5.loss_mask: 0.6672, decode.d5.loss_dice: 0.9287, decode.d6.loss_cls: 0.5239, decode.d6.loss_mask: 0.6662, decode.d6.loss_dice: 0.9250, decode.d7.loss_cls: 0.5227, decode.d7.loss_mask: 0.6656, decode.d7.loss_dice: 0.9240, decode.d8.loss_cls: 0.5202, decode.d8.loss_mask: 0.6691, decode.d8.loss_dice: 0.9227, loss: 22.7650 2022-04-30 20:50:20,935 - mmseg - INFO - Iter [9400/80000] lr: 1.267e-06, eta: 1 day, 14:11:48, time: 1.900, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5347, decode.loss_mask: 0.6417, decode.loss_dice: 0.8938, decode.d0.loss_cls: 1.6311, decode.d0.loss_mask: 0.6872, decode.d0.loss_dice: 1.0186, decode.d1.loss_cls: 0.6299, decode.d1.loss_mask: 0.6713, decode.d1.loss_dice: 0.9696, decode.d2.loss_cls: 0.5731, decode.d2.loss_mask: 0.6533, decode.d2.loss_dice: 0.9203, decode.d3.loss_cls: 0.5495, decode.d3.loss_mask: 0.6480, decode.d3.loss_dice: 0.9095, decode.d4.loss_cls: 0.5366, decode.d4.loss_mask: 0.6470, decode.d4.loss_dice: 0.9101, decode.d5.loss_cls: 0.5366, decode.d5.loss_mask: 0.6470, decode.d5.loss_dice: 0.9119, decode.d6.loss_cls: 0.5336, decode.d6.loss_mask: 0.6435, decode.d6.loss_dice: 0.9014, decode.d7.loss_cls: 0.5310, decode.d7.loss_mask: 0.6433, decode.d7.loss_dice: 0.8969, decode.d8.loss_cls: 0.5327, decode.d8.loss_mask: 0.6419, decode.d8.loss_dice: 0.8939, loss: 22.3390 2022-04-30 20:51:55,418 - mmseg - INFO - Iter [9450/80000] lr: 1.266e-06, eta: 1 day, 14:09:49, time: 1.891, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5292, decode.loss_mask: 0.6376, decode.loss_dice: 0.9000, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.6887, decode.d0.loss_dice: 1.0340, decode.d1.loss_cls: 0.6129, decode.d1.loss_mask: 0.6718, decode.d1.loss_dice: 0.9762, decode.d2.loss_cls: 0.5666, decode.d2.loss_mask: 0.6505, decode.d2.loss_dice: 0.9394, decode.d3.loss_cls: 0.5502, decode.d3.loss_mask: 0.6481, decode.d3.loss_dice: 0.9174, decode.d4.loss_cls: 0.5419, decode.d4.loss_mask: 0.6451, decode.d4.loss_dice: 0.9169, decode.d5.loss_cls: 0.5367, decode.d5.loss_mask: 0.6430, decode.d5.loss_dice: 0.9120, decode.d6.loss_cls: 0.5274, decode.d6.loss_mask: 0.6371, decode.d6.loss_dice: 0.8961, decode.d7.loss_cls: 0.5265, decode.d7.loss_mask: 0.6370, decode.d7.loss_dice: 0.9030, decode.d8.loss_cls: 0.5252, decode.d8.loss_mask: 0.6405, decode.d8.loss_dice: 0.9020, loss: 22.3401 2022-04-30 20:53:31,067 - mmseg - INFO - Iter [9500/80000] lr: 1.265e-06, eta: 1 day, 14:07:59, time: 1.912, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5422, decode.loss_mask: 0.6138, decode.loss_dice: 0.8925, decode.d0.loss_cls: 1.6454, decode.d0.loss_mask: 0.6700, decode.d0.loss_dice: 1.0404, decode.d1.loss_cls: 0.6321, decode.d1.loss_mask: 0.6565, decode.d1.loss_dice: 0.9782, decode.d2.loss_cls: 0.5805, decode.d2.loss_mask: 0.6346, decode.d2.loss_dice: 0.9390, decode.d3.loss_cls: 0.5563, decode.d3.loss_mask: 0.6240, decode.d3.loss_dice: 0.9156, decode.d4.loss_cls: 0.5473, decode.d4.loss_mask: 0.6234, decode.d4.loss_dice: 0.9114, decode.d5.loss_cls: 0.5419, decode.d5.loss_mask: 0.6185, decode.d5.loss_dice: 0.9067, decode.d6.loss_cls: 0.5396, decode.d6.loss_mask: 0.6116, decode.d6.loss_dice: 0.8996, decode.d7.loss_cls: 0.5392, decode.d7.loss_mask: 0.6132, decode.d7.loss_dice: 0.8956, decode.d8.loss_cls: 0.5394, decode.d8.loss_mask: 0.6153, decode.d8.loss_dice: 0.8957, loss: 22.2197 2022-04-30 20:55:06,222 - mmseg - INFO - Iter [9550/80000] lr: 1.264e-06, eta: 1 day, 14:06:05, time: 1.902, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5290, decode.loss_mask: 0.6240, decode.loss_dice: 0.9065, decode.d0.loss_cls: 1.6042, decode.d0.loss_mask: 0.6657, decode.d0.loss_dice: 1.0514, decode.d1.loss_cls: 0.6140, decode.d1.loss_mask: 0.6518, decode.d1.loss_dice: 0.9887, decode.d2.loss_cls: 0.5604, decode.d2.loss_mask: 0.6341, decode.d2.loss_dice: 0.9402, decode.d3.loss_cls: 0.5384, decode.d3.loss_mask: 0.6304, decode.d3.loss_dice: 0.9181, decode.d4.loss_cls: 0.5378, decode.d4.loss_mask: 0.6311, decode.d4.loss_dice: 0.9234, decode.d5.loss_cls: 0.5392, decode.d5.loss_mask: 0.6237, decode.d5.loss_dice: 0.9203, decode.d6.loss_cls: 0.5312, decode.d6.loss_mask: 0.6210, decode.d6.loss_dice: 0.9107, decode.d7.loss_cls: 0.5265, decode.d7.loss_mask: 0.6240, decode.d7.loss_dice: 0.9121, decode.d8.loss_cls: 0.5222, decode.d8.loss_mask: 0.6234, decode.d8.loss_dice: 0.9083, loss: 22.2119 2022-04-30 20:56:41,232 - mmseg - INFO - Iter [9600/80000] lr: 1.264e-06, eta: 1 day, 14:04:11, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5399, decode.loss_mask: 0.6160, decode.loss_dice: 0.8993, decode.d0.loss_cls: 1.6228, decode.d0.loss_mask: 0.6732, decode.d0.loss_dice: 1.0497, decode.d1.loss_cls: 0.6260, decode.d1.loss_mask: 0.6535, decode.d1.loss_dice: 0.9832, decode.d2.loss_cls: 0.5824, decode.d2.loss_mask: 0.6380, decode.d2.loss_dice: 0.9412, decode.d3.loss_cls: 0.5540, decode.d3.loss_mask: 0.6281, decode.d3.loss_dice: 0.9187, decode.d4.loss_cls: 0.5402, decode.d4.loss_mask: 0.6275, decode.d4.loss_dice: 0.9138, decode.d5.loss_cls: 0.5446, decode.d5.loss_mask: 0.6210, decode.d5.loss_dice: 0.9127, decode.d6.loss_cls: 0.5342, decode.d6.loss_mask: 0.6214, decode.d6.loss_dice: 0.9065, decode.d7.loss_cls: 0.5362, decode.d7.loss_mask: 0.6199, decode.d7.loss_dice: 0.9047, decode.d8.loss_cls: 0.5376, decode.d8.loss_mask: 0.6178, decode.d8.loss_dice: 0.9006, loss: 22.2647 2022-04-30 20:58:14,670 - mmseg - INFO - Iter [9650/80000] lr: 1.263e-06, eta: 1 day, 14:02:05, time: 1.869, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5350, decode.loss_mask: 0.6289, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.6353, decode.d0.loss_mask: 0.6721, decode.d0.loss_dice: 1.0477, decode.d1.loss_cls: 0.6387, decode.d1.loss_mask: 0.6630, decode.d1.loss_dice: 0.9868, decode.d2.loss_cls: 0.5820, decode.d2.loss_mask: 0.6449, decode.d2.loss_dice: 0.9451, decode.d3.loss_cls: 0.5623, decode.d3.loss_mask: 0.6360, decode.d3.loss_dice: 0.9150, decode.d4.loss_cls: 0.5522, decode.d4.loss_mask: 0.6346, decode.d4.loss_dice: 0.9170, decode.d5.loss_cls: 0.5435, decode.d5.loss_mask: 0.6339, decode.d5.loss_dice: 0.9077, decode.d6.loss_cls: 0.5347, decode.d6.loss_mask: 0.6321, decode.d6.loss_dice: 0.8964, decode.d7.loss_cls: 0.5288, decode.d7.loss_mask: 0.6329, decode.d7.loss_dice: 0.9052, decode.d8.loss_cls: 0.5300, decode.d8.loss_mask: 0.6314, decode.d8.loss_dice: 0.9000, loss: 22.3725 2022-04-30 20:59:47,691 - mmseg - INFO - Iter [9700/80000] lr: 1.262e-06, eta: 1 day, 13:59:56, time: 1.861, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5231, decode.loss_mask: 0.6443, decode.loss_dice: 0.9191, decode.d0.loss_cls: 1.6208, decode.d0.loss_mask: 0.7009, decode.d0.loss_dice: 1.0636, decode.d1.loss_cls: 0.6219, decode.d1.loss_mask: 0.6706, decode.d1.loss_dice: 0.9937, decode.d2.loss_cls: 0.5630, decode.d2.loss_mask: 0.6558, decode.d2.loss_dice: 0.9561, decode.d3.loss_cls: 0.5486, decode.d3.loss_mask: 0.6500, decode.d3.loss_dice: 0.9328, decode.d4.loss_cls: 0.5384, decode.d4.loss_mask: 0.6480, decode.d4.loss_dice: 0.9365, decode.d5.loss_cls: 0.5387, decode.d5.loss_mask: 0.6427, decode.d5.loss_dice: 0.9340, decode.d6.loss_cls: 0.5261, decode.d6.loss_mask: 0.6429, decode.d6.loss_dice: 0.9217, decode.d7.loss_cls: 0.5231, decode.d7.loss_mask: 0.6460, decode.d7.loss_dice: 0.9261, decode.d8.loss_cls: 0.5244, decode.d8.loss_mask: 0.6417, decode.d8.loss_dice: 0.9219, loss: 22.5765 2022-04-30 21:01:20,115 - mmseg - INFO - Iter [9750/80000] lr: 1.261e-06, eta: 1 day, 13:57:44, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5451, decode.loss_mask: 0.6557, decode.loss_dice: 0.9074, decode.d0.loss_cls: 1.6015, decode.d0.loss_mask: 0.7075, decode.d0.loss_dice: 1.0766, decode.d1.loss_cls: 0.6364, decode.d1.loss_mask: 0.6814, decode.d1.loss_dice: 1.0017, decode.d2.loss_cls: 0.5800, decode.d2.loss_mask: 0.6673, decode.d2.loss_dice: 0.9463, decode.d3.loss_cls: 0.5524, decode.d3.loss_mask: 0.6600, decode.d3.loss_dice: 0.9276, decode.d4.loss_cls: 0.5472, decode.d4.loss_mask: 0.6572, decode.d4.loss_dice: 0.9263, decode.d5.loss_cls: 0.5490, decode.d5.loss_mask: 0.6510, decode.d5.loss_dice: 0.9187, decode.d6.loss_cls: 0.5479, decode.d6.loss_mask: 0.6516, decode.d6.loss_dice: 0.9058, decode.d7.loss_cls: 0.5464, decode.d7.loss_mask: 0.6474, decode.d7.loss_dice: 0.9085, decode.d8.loss_cls: 0.5407, decode.d8.loss_mask: 0.6527, decode.d8.loss_dice: 0.9144, loss: 22.7118 2022-04-30 21:02:52,874 - mmseg - INFO - Iter [9800/80000] lr: 1.260e-06, eta: 1 day, 13:55:34, time: 1.854, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5649, decode.loss_mask: 0.6459, decode.loss_dice: 0.9349, decode.d0.loss_cls: 1.6502, decode.d0.loss_mask: 0.7004, decode.d0.loss_dice: 1.0836, decode.d1.loss_cls: 0.6576, decode.d1.loss_mask: 0.6725, decode.d1.loss_dice: 1.0158, decode.d2.loss_cls: 0.5989, decode.d2.loss_mask: 0.6644, decode.d2.loss_dice: 0.9691, decode.d3.loss_cls: 0.5847, decode.d3.loss_mask: 0.6527, decode.d3.loss_dice: 0.9495, decode.d4.loss_cls: 0.5738, decode.d4.loss_mask: 0.6522, decode.d4.loss_dice: 0.9468, decode.d5.loss_cls: 0.5722, decode.d5.loss_mask: 0.6503, decode.d5.loss_dice: 0.9400, decode.d6.loss_cls: 0.5656, decode.d6.loss_mask: 0.6437, decode.d6.loss_dice: 0.9281, decode.d7.loss_cls: 0.5664, decode.d7.loss_mask: 0.6480, decode.d7.loss_dice: 0.9323, decode.d8.loss_cls: 0.5618, decode.d8.loss_mask: 0.6483, decode.d8.loss_dice: 0.9358, loss: 23.1103 2022-04-30 21:04:26,253 - mmseg - INFO - Iter [9850/80000] lr: 1.259e-06, eta: 1 day, 13:53:30, time: 1.868, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5320, decode.loss_mask: 0.6488, decode.loss_dice: 0.9331, decode.d0.loss_cls: 1.5825, decode.d0.loss_mask: 0.7045, decode.d0.loss_dice: 1.0712, decode.d1.loss_cls: 0.6150, decode.d1.loss_mask: 0.6812, decode.d1.loss_dice: 1.0186, decode.d2.loss_cls: 0.5682, decode.d2.loss_mask: 0.6708, decode.d2.loss_dice: 0.9743, decode.d3.loss_cls: 0.5553, decode.d3.loss_mask: 0.6578, decode.d3.loss_dice: 0.9525, decode.d4.loss_cls: 0.5397, decode.d4.loss_mask: 0.6608, decode.d4.loss_dice: 0.9469, decode.d5.loss_cls: 0.5334, decode.d5.loss_mask: 0.6577, decode.d5.loss_dice: 0.9468, decode.d6.loss_cls: 0.5362, decode.d6.loss_mask: 0.6507, decode.d6.loss_dice: 0.9376, decode.d7.loss_cls: 0.5274, decode.d7.loss_mask: 0.6518, decode.d7.loss_dice: 0.9391, decode.d8.loss_cls: 0.5314, decode.d8.loss_mask: 0.6483, decode.d8.loss_dice: 0.9360, loss: 22.8095 2022-04-30 21:05:59,028 - mmseg - INFO - Iter [9900/80000] lr: 1.258e-06, eta: 1 day, 13:51:21, time: 1.855, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5273, decode.loss_mask: 0.6473, decode.loss_dice: 0.9139, decode.d0.loss_cls: 1.5933, decode.d0.loss_mask: 0.7077, decode.d0.loss_dice: 1.0572, decode.d1.loss_cls: 0.6125, decode.d1.loss_mask: 0.6861, decode.d1.loss_dice: 0.9864, decode.d2.loss_cls: 0.5706, decode.d2.loss_mask: 0.6631, decode.d2.loss_dice: 0.9474, decode.d3.loss_cls: 0.5526, decode.d3.loss_mask: 0.6535, decode.d3.loss_dice: 0.9256, decode.d4.loss_cls: 0.5403, decode.d4.loss_mask: 0.6559, decode.d4.loss_dice: 0.9332, decode.d5.loss_cls: 0.5406, decode.d5.loss_mask: 0.6585, decode.d5.loss_dice: 0.9198, decode.d6.loss_cls: 0.5307, decode.d6.loss_mask: 0.6546, decode.d6.loss_dice: 0.9051, decode.d7.loss_cls: 0.5304, decode.d7.loss_mask: 0.6520, decode.d7.loss_dice: 0.9112, decode.d8.loss_cls: 0.5296, decode.d8.loss_mask: 0.6525, decode.d8.loss_dice: 0.9123, loss: 22.5714 2022-04-30 21:07:33,563 - mmseg - INFO - Iter [9950/80000] lr: 1.257e-06, eta: 1 day, 13:49:25, time: 1.892, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5172, decode.loss_mask: 0.6356, decode.loss_dice: 0.8960, decode.d0.loss_cls: 1.5933, decode.d0.loss_mask: 0.6824, decode.d0.loss_dice: 1.0397, decode.d1.loss_cls: 0.6091, decode.d1.loss_mask: 0.6687, decode.d1.loss_dice: 0.9679, decode.d2.loss_cls: 0.5545, decode.d2.loss_mask: 0.6425, decode.d2.loss_dice: 0.9309, decode.d3.loss_cls: 0.5419, decode.d3.loss_mask: 0.6375, decode.d3.loss_dice: 0.9094, decode.d4.loss_cls: 0.5335, decode.d4.loss_mask: 0.6371, decode.d4.loss_dice: 0.9110, decode.d5.loss_cls: 0.5341, decode.d5.loss_mask: 0.6400, decode.d5.loss_dice: 0.9134, decode.d6.loss_cls: 0.5244, decode.d6.loss_mask: 0.6374, decode.d6.loss_dice: 0.9010, decode.d7.loss_cls: 0.5202, decode.d7.loss_mask: 0.6369, decode.d7.loss_dice: 0.9040, decode.d8.loss_cls: 0.5201, decode.d8.loss_mask: 0.6393, decode.d8.loss_dice: 0.8984, loss: 22.1775 2022-04-30 21:09:07,608 - mmseg - INFO - Saving checkpoint at 10000 iterations 2022-04-30 21:09:38,964 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 21:09:38,974 - mmseg - INFO - Iter [10000/80000] lr: 1.256e-06, eta: 1 day, 13:51:05, time: 2.506, data_time: 0.014, memory: 64716, decode.loss_cls: 0.5401, decode.loss_mask: 0.6489, decode.loss_dice: 0.9128, decode.d0.loss_cls: 1.6664, decode.d0.loss_mask: 0.6920, decode.d0.loss_dice: 1.0539, decode.d1.loss_cls: 0.6278, decode.d1.loss_mask: 0.6813, decode.d1.loss_dice: 0.9948, decode.d2.loss_cls: 0.5777, decode.d2.loss_mask: 0.6595, decode.d2.loss_dice: 0.9487, decode.d3.loss_cls: 0.5676, decode.d3.loss_mask: 0.6512, decode.d3.loss_dice: 0.9233, decode.d4.loss_cls: 0.5567, decode.d4.loss_mask: 0.6507, decode.d4.loss_dice: 0.9225, decode.d5.loss_cls: 0.5553, decode.d5.loss_mask: 0.6456, decode.d5.loss_dice: 0.9233, decode.d6.loss_cls: 0.5410, decode.d6.loss_mask: 0.6456, decode.d6.loss_dice: 0.9091, decode.d7.loss_cls: 0.5443, decode.d7.loss_mask: 0.6414, decode.d7.loss_dice: 0.9096, decode.d8.loss_cls: 0.5383, decode.d8.loss_mask: 0.6451, decode.d8.loss_dice: 0.9094, loss: 22.6839 2022-04-30 21:11:12,054 - mmseg - INFO - Iter [10050/80000] lr: 1.255e-06, eta: 1 day, 13:48:58, time: 1.863, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5184, decode.loss_mask: 0.6558, decode.loss_dice: 0.9080, decode.d0.loss_cls: 1.5873, decode.d0.loss_mask: 0.7017, decode.d0.loss_dice: 1.0521, decode.d1.loss_cls: 0.6132, decode.d1.loss_mask: 0.6845, decode.d1.loss_dice: 0.9858, decode.d2.loss_cls: 0.5607, decode.d2.loss_mask: 0.6655, decode.d2.loss_dice: 0.9469, decode.d3.loss_cls: 0.5367, decode.d3.loss_mask: 0.6568, decode.d3.loss_dice: 0.9253, decode.d4.loss_cls: 0.5341, decode.d4.loss_mask: 0.6562, decode.d4.loss_dice: 0.9308, decode.d5.loss_cls: 0.5256, decode.d5.loss_mask: 0.6567, decode.d5.loss_dice: 0.9218, decode.d6.loss_cls: 0.5231, decode.d6.loss_mask: 0.6548, decode.d6.loss_dice: 0.9101, decode.d7.loss_cls: 0.5162, decode.d7.loss_mask: 0.6595, decode.d7.loss_dice: 0.9148, decode.d8.loss_cls: 0.5169, decode.d8.loss_mask: 0.6581, decode.d8.loss_dice: 0.9130, loss: 22.4904 2022-04-30 21:12:45,326 - mmseg - INFO - Iter [10100/80000] lr: 1.255e-06, eta: 1 day, 13:46:53, time: 1.867, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5402, decode.loss_mask: 0.6600, decode.loss_dice: 0.9577, decode.d0.loss_cls: 1.6230, decode.d0.loss_mask: 0.7096, decode.d0.loss_dice: 1.0969, decode.d1.loss_cls: 0.6375, decode.d1.loss_mask: 0.6895, decode.d1.loss_dice: 1.0329, decode.d2.loss_cls: 0.5755, decode.d2.loss_mask: 0.6793, decode.d2.loss_dice: 0.9882, decode.d3.loss_cls: 0.5669, decode.d3.loss_mask: 0.6727, decode.d3.loss_dice: 0.9638, decode.d4.loss_cls: 0.5498, decode.d4.loss_mask: 0.6737, decode.d4.loss_dice: 0.9639, decode.d5.loss_cls: 0.5459, decode.d5.loss_mask: 0.6657, decode.d5.loss_dice: 0.9634, decode.d6.loss_cls: 0.5380, decode.d6.loss_mask: 0.6667, decode.d6.loss_dice: 0.9521, decode.d7.loss_cls: 0.5341, decode.d7.loss_mask: 0.6665, decode.d7.loss_dice: 0.9568, decode.d8.loss_cls: 0.5383, decode.d8.loss_mask: 0.6642, decode.d8.loss_dice: 0.9580, loss: 23.2309 2022-04-30 21:14:20,465 - mmseg - INFO - Iter [10150/80000] lr: 1.254e-06, eta: 1 day, 13:45:01, time: 1.901, data_time: 0.062, memory: 64716, decode.loss_cls: 0.5671, decode.loss_mask: 0.6160, decode.loss_dice: 0.9144, decode.d0.loss_cls: 1.6713, decode.d0.loss_mask: 0.6703, decode.d0.loss_dice: 1.0636, decode.d1.loss_cls: 0.6612, decode.d1.loss_mask: 0.6509, decode.d1.loss_dice: 0.9934, decode.d2.loss_cls: 0.6106, decode.d2.loss_mask: 0.6247, decode.d2.loss_dice: 0.9530, decode.d3.loss_cls: 0.5881, decode.d3.loss_mask: 0.6165, decode.d3.loss_dice: 0.9253, decode.d4.loss_cls: 0.5870, decode.d4.loss_mask: 0.6168, decode.d4.loss_dice: 0.9281, decode.d5.loss_cls: 0.5691, decode.d5.loss_mask: 0.6165, decode.d5.loss_dice: 0.9325, decode.d6.loss_cls: 0.5659, decode.d6.loss_mask: 0.6175, decode.d6.loss_dice: 0.9199, decode.d7.loss_cls: 0.5594, decode.d7.loss_mask: 0.6205, decode.d7.loss_dice: 0.9243, decode.d8.loss_cls: 0.5640, decode.d8.loss_mask: 0.6183, decode.d8.loss_dice: 0.9175, loss: 22.6834 2022-04-30 21:15:54,767 - mmseg - INFO - Iter [10200/80000] lr: 1.253e-06, eta: 1 day, 13:43:03, time: 1.886, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5070, decode.loss_mask: 0.6266, decode.loss_dice: 0.9165, decode.d0.loss_cls: 1.5982, decode.d0.loss_mask: 0.6794, decode.d0.loss_dice: 1.0676, decode.d1.loss_cls: 0.6125, decode.d1.loss_mask: 0.6583, decode.d1.loss_dice: 0.9955, decode.d2.loss_cls: 0.5601, decode.d2.loss_mask: 0.6429, decode.d2.loss_dice: 0.9572, decode.d3.loss_cls: 0.5349, decode.d3.loss_mask: 0.6366, decode.d3.loss_dice: 0.9342, decode.d4.loss_cls: 0.5316, decode.d4.loss_mask: 0.6294, decode.d4.loss_dice: 0.9265, decode.d5.loss_cls: 0.5271, decode.d5.loss_mask: 0.6258, decode.d5.loss_dice: 0.9248, decode.d6.loss_cls: 0.5151, decode.d6.loss_mask: 0.6227, decode.d6.loss_dice: 0.9169, decode.d7.loss_cls: 0.5135, decode.d7.loss_mask: 0.6261, decode.d7.loss_dice: 0.9195, decode.d8.loss_cls: 0.5171, decode.d8.loss_mask: 0.6283, decode.d8.loss_dice: 0.9154, loss: 22.2676 2022-04-30 21:17:30,410 - mmseg - INFO - Iter [10250/80000] lr: 1.252e-06, eta: 1 day, 13:41:15, time: 1.914, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5069, decode.loss_mask: 0.6284, decode.loss_dice: 0.8870, decode.d0.loss_cls: 1.5731, decode.d0.loss_mask: 0.6804, decode.d0.loss_dice: 1.0332, decode.d1.loss_cls: 0.5799, decode.d1.loss_mask: 0.6615, decode.d1.loss_dice: 0.9641, decode.d2.loss_cls: 0.5358, decode.d2.loss_mask: 0.6425, decode.d2.loss_dice: 0.9261, decode.d3.loss_cls: 0.5225, decode.d3.loss_mask: 0.6335, decode.d3.loss_dice: 0.9108, decode.d4.loss_cls: 0.5157, decode.d4.loss_mask: 0.6350, decode.d4.loss_dice: 0.9045, decode.d5.loss_cls: 0.5190, decode.d5.loss_mask: 0.6321, decode.d5.loss_dice: 0.8963, decode.d6.loss_cls: 0.5066, decode.d6.loss_mask: 0.6286, decode.d6.loss_dice: 0.8847, decode.d7.loss_cls: 0.5061, decode.d7.loss_mask: 0.6283, decode.d7.loss_dice: 0.8859, decode.d8.loss_cls: 0.4997, decode.d8.loss_mask: 0.6273, decode.d8.loss_dice: 0.8880, loss: 21.8437 2022-04-30 21:19:05,439 - mmseg - INFO - Iter [10300/80000] lr: 1.251e-06, eta: 1 day, 13:39:23, time: 1.901, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4920, decode.loss_mask: 0.6042, decode.loss_dice: 0.8804, decode.d0.loss_cls: 1.6012, decode.d0.loss_mask: 0.6528, decode.d0.loss_dice: 1.0247, decode.d1.loss_cls: 0.5967, decode.d1.loss_mask: 0.6344, decode.d1.loss_dice: 0.9578, decode.d2.loss_cls: 0.5432, decode.d2.loss_mask: 0.6174, decode.d2.loss_dice: 0.9154, decode.d3.loss_cls: 0.5191, decode.d3.loss_mask: 0.6052, decode.d3.loss_dice: 0.8883, decode.d4.loss_cls: 0.5051, decode.d4.loss_mask: 0.6067, decode.d4.loss_dice: 0.8857, decode.d5.loss_cls: 0.5039, decode.d5.loss_mask: 0.6068, decode.d5.loss_dice: 0.8863, decode.d6.loss_cls: 0.4936, decode.d6.loss_mask: 0.6055, decode.d6.loss_dice: 0.8828, decode.d7.loss_cls: 0.4942, decode.d7.loss_mask: 0.6067, decode.d7.loss_dice: 0.8823, decode.d8.loss_cls: 0.4908, decode.d8.loss_mask: 0.6049, decode.d8.loss_dice: 0.8819, loss: 21.4701 2022-04-30 21:20:41,570 - mmseg - INFO - Iter [10350/80000] lr: 1.250e-06, eta: 1 day, 13:37:37, time: 1.920, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4968, decode.loss_mask: 0.6486, decode.loss_dice: 0.9060, decode.d0.loss_cls: 1.5907, decode.d0.loss_mask: 0.7026, decode.d0.loss_dice: 1.0492, decode.d1.loss_cls: 0.6029, decode.d1.loss_mask: 0.6833, decode.d1.loss_dice: 0.9823, decode.d2.loss_cls: 0.5459, decode.d2.loss_mask: 0.6601, decode.d2.loss_dice: 0.9444, decode.d3.loss_cls: 0.5270, decode.d3.loss_mask: 0.6556, decode.d3.loss_dice: 0.9223, decode.d4.loss_cls: 0.5135, decode.d4.loss_mask: 0.6563, decode.d4.loss_dice: 0.9245, decode.d5.loss_cls: 0.5070, decode.d5.loss_mask: 0.6519, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.4930, decode.d6.loss_mask: 0.6492, decode.d6.loss_dice: 0.9099, decode.d7.loss_cls: 0.4910, decode.d7.loss_mask: 0.6516, decode.d7.loss_dice: 0.9116, decode.d8.loss_cls: 0.4881, decode.d8.loss_mask: 0.6512, decode.d8.loss_dice: 0.9120, loss: 22.2474 2022-04-30 21:22:15,511 - mmseg - INFO - Iter [10400/80000] lr: 1.249e-06, eta: 1 day, 13:35:38, time: 1.880, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5029, decode.loss_mask: 0.6552, decode.loss_dice: 0.9171, decode.d0.loss_cls: 1.6029, decode.d0.loss_mask: 0.7007, decode.d0.loss_dice: 1.0580, decode.d1.loss_cls: 0.5968, decode.d1.loss_mask: 0.6770, decode.d1.loss_dice: 0.9934, decode.d2.loss_cls: 0.5401, decode.d2.loss_mask: 0.6683, decode.d2.loss_dice: 0.9507, decode.d3.loss_cls: 0.5193, decode.d3.loss_mask: 0.6626, decode.d3.loss_dice: 0.9261, decode.d4.loss_cls: 0.5127, decode.d4.loss_mask: 0.6558, decode.d4.loss_dice: 0.9274, decode.d5.loss_cls: 0.5139, decode.d5.loss_mask: 0.6580, decode.d5.loss_dice: 0.9266, decode.d6.loss_cls: 0.5104, decode.d6.loss_mask: 0.6562, decode.d6.loss_dice: 0.9127, decode.d7.loss_cls: 0.5051, decode.d7.loss_mask: 0.6516, decode.d7.loss_dice: 0.9207, decode.d8.loss_cls: 0.4998, decode.d8.loss_mask: 0.6530, decode.d8.loss_dice: 0.9201, loss: 22.3950 2022-04-30 21:23:50,583 - mmseg - INFO - Iter [10450/80000] lr: 1.248e-06, eta: 1 day, 13:33:47, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5013, decode.loss_mask: 0.6183, decode.loss_dice: 0.8927, decode.d0.loss_cls: 1.5776, decode.d0.loss_mask: 0.6684, decode.d0.loss_dice: 1.0259, decode.d1.loss_cls: 0.5948, decode.d1.loss_mask: 0.6508, decode.d1.loss_dice: 0.9720, decode.d2.loss_cls: 0.5393, decode.d2.loss_mask: 0.6342, decode.d2.loss_dice: 0.9289, decode.d3.loss_cls: 0.5166, decode.d3.loss_mask: 0.6227, decode.d3.loss_dice: 0.9101, decode.d4.loss_cls: 0.5085, decode.d4.loss_mask: 0.6220, decode.d4.loss_dice: 0.9062, decode.d5.loss_cls: 0.5017, decode.d5.loss_mask: 0.6235, decode.d5.loss_dice: 0.9082, decode.d6.loss_cls: 0.4928, decode.d6.loss_mask: 0.6208, decode.d6.loss_dice: 0.8949, decode.d7.loss_cls: 0.4965, decode.d7.loss_mask: 0.6178, decode.d7.loss_dice: 0.8919, decode.d8.loss_cls: 0.5010, decode.d8.loss_mask: 0.6170, decode.d8.loss_dice: 0.8946, loss: 21.7509 2022-04-30 21:25:24,183 - mmseg - INFO - Iter [10500/80000] lr: 1.247e-06, eta: 1 day, 13:31:46, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5176, decode.loss_mask: 0.6565, decode.loss_dice: 0.9188, decode.d0.loss_cls: 1.5963, decode.d0.loss_mask: 0.6880, decode.d0.loss_dice: 1.0551, decode.d1.loss_cls: 0.6043, decode.d1.loss_mask: 0.6760, decode.d1.loss_dice: 0.9980, decode.d2.loss_cls: 0.5509, decode.d2.loss_mask: 0.6607, decode.d2.loss_dice: 0.9538, decode.d3.loss_cls: 0.5356, decode.d3.loss_mask: 0.6536, decode.d3.loss_dice: 0.9366, decode.d4.loss_cls: 0.5276, decode.d4.loss_mask: 0.6494, decode.d4.loss_dice: 0.9312, decode.d5.loss_cls: 0.5232, decode.d5.loss_mask: 0.6520, decode.d5.loss_dice: 0.9352, decode.d6.loss_cls: 0.5214, decode.d6.loss_mask: 0.6504, decode.d6.loss_dice: 0.9183, decode.d7.loss_cls: 0.5191, decode.d7.loss_mask: 0.6498, decode.d7.loss_dice: 0.9201, decode.d8.loss_cls: 0.5138, decode.d8.loss_mask: 0.6555, decode.d8.loss_dice: 0.9238, loss: 22.4926 2022-04-30 21:26:57,813 - mmseg - INFO - Iter [10550/80000] lr: 1.246e-06, eta: 1 day, 13:29:45, time: 1.874, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4984, decode.loss_mask: 0.6161, decode.loss_dice: 0.9027, decode.d0.loss_cls: 1.5808, decode.d0.loss_mask: 0.6619, decode.d0.loss_dice: 1.0433, decode.d1.loss_cls: 0.5887, decode.d1.loss_mask: 0.6430, decode.d1.loss_dice: 0.9845, decode.d2.loss_cls: 0.5406, decode.d2.loss_mask: 0.6267, decode.d2.loss_dice: 0.9480, decode.d3.loss_cls: 0.5164, decode.d3.loss_mask: 0.6173, decode.d3.loss_dice: 0.9233, decode.d4.loss_cls: 0.5089, decode.d4.loss_mask: 0.6145, decode.d4.loss_dice: 0.9196, decode.d5.loss_cls: 0.5116, decode.d5.loss_mask: 0.6152, decode.d5.loss_dice: 0.9202, decode.d6.loss_cls: 0.5037, decode.d6.loss_mask: 0.6127, decode.d6.loss_dice: 0.9097, decode.d7.loss_cls: 0.4980, decode.d7.loss_mask: 0.6179, decode.d7.loss_dice: 0.9062, decode.d8.loss_cls: 0.5012, decode.d8.loss_mask: 0.6149, decode.d8.loss_dice: 0.9051, loss: 21.8512 2022-04-30 21:28:31,492 - mmseg - INFO - Iter [10600/80000] lr: 1.246e-06, eta: 1 day, 13:27:44, time: 1.871, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5074, decode.loss_mask: 0.6442, decode.loss_dice: 0.9016, decode.d0.loss_cls: 1.5711, decode.d0.loss_mask: 0.7006, decode.d0.loss_dice: 1.0449, decode.d1.loss_cls: 0.5972, decode.d1.loss_mask: 0.6740, decode.d1.loss_dice: 0.9824, decode.d2.loss_cls: 0.5512, decode.d2.loss_mask: 0.6550, decode.d2.loss_dice: 0.9378, decode.d3.loss_cls: 0.5354, decode.d3.loss_mask: 0.6439, decode.d3.loss_dice: 0.9163, decode.d4.loss_cls: 0.5259, decode.d4.loss_mask: 0.6444, decode.d4.loss_dice: 0.9130, decode.d5.loss_cls: 0.5247, decode.d5.loss_mask: 0.6385, decode.d5.loss_dice: 0.9036, decode.d6.loss_cls: 0.5168, decode.d6.loss_mask: 0.6374, decode.d6.loss_dice: 0.8982, decode.d7.loss_cls: 0.5173, decode.d7.loss_mask: 0.6404, decode.d7.loss_dice: 0.8948, decode.d8.loss_cls: 0.5097, decode.d8.loss_mask: 0.6421, decode.d8.loss_dice: 0.8959, loss: 22.1657 2022-04-30 21:30:08,361 - mmseg - INFO - Iter [10650/80000] lr: 1.245e-06, eta: 1 day, 13:26:05, time: 1.938, data_time: 0.019, memory: 64716, decode.loss_cls: 0.5122, decode.loss_mask: 0.6684, decode.loss_dice: 0.9183, decode.d0.loss_cls: 1.6007, decode.d0.loss_mask: 0.7297, decode.d0.loss_dice: 1.0581, decode.d1.loss_cls: 0.6067, decode.d1.loss_mask: 0.7052, decode.d1.loss_dice: 0.9937, decode.d2.loss_cls: 0.5538, decode.d2.loss_mask: 0.6853, decode.d2.loss_dice: 0.9580, decode.d3.loss_cls: 0.5310, decode.d3.loss_mask: 0.6813, decode.d3.loss_dice: 0.9345, decode.d4.loss_cls: 0.5192, decode.d4.loss_mask: 0.6763, decode.d4.loss_dice: 0.9254, decode.d5.loss_cls: 0.5224, decode.d5.loss_mask: 0.6779, decode.d5.loss_dice: 0.9224, decode.d6.loss_cls: 0.5153, decode.d6.loss_mask: 0.6734, decode.d6.loss_dice: 0.9161, decode.d7.loss_cls: 0.5129, decode.d7.loss_mask: 0.6722, decode.d7.loss_dice: 0.9171, decode.d8.loss_cls: 0.5059, decode.d8.loss_mask: 0.6709, decode.d8.loss_dice: 0.9178, loss: 22.6821 2022-04-30 21:31:45,284 - mmseg - INFO - Iter [10700/80000] lr: 1.244e-06, eta: 1 day, 13:24:27, time: 1.940, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5070, decode.loss_mask: 0.6467, decode.loss_dice: 0.9242, decode.d0.loss_cls: 1.5943, decode.d0.loss_mask: 0.6942, decode.d0.loss_dice: 1.0687, decode.d1.loss_cls: 0.6098, decode.d1.loss_mask: 0.6787, decode.d1.loss_dice: 0.9993, decode.d2.loss_cls: 0.5502, decode.d2.loss_mask: 0.6603, decode.d2.loss_dice: 0.9638, decode.d3.loss_cls: 0.5408, decode.d3.loss_mask: 0.6463, decode.d3.loss_dice: 0.9328, decode.d4.loss_cls: 0.5229, decode.d4.loss_mask: 0.6526, decode.d4.loss_dice: 0.9338, decode.d5.loss_cls: 0.5171, decode.d5.loss_mask: 0.6523, decode.d5.loss_dice: 0.9367, decode.d6.loss_cls: 0.5102, decode.d6.loss_mask: 0.6450, decode.d6.loss_dice: 0.9222, decode.d7.loss_cls: 0.5011, decode.d7.loss_mask: 0.6476, decode.d7.loss_dice: 0.9272, decode.d8.loss_cls: 0.5046, decode.d8.loss_mask: 0.6468, decode.d8.loss_dice: 0.9184, loss: 22.4554 2022-04-30 21:33:20,824 - mmseg - INFO - Iter [10750/80000] lr: 1.243e-06, eta: 1 day, 13:22:40, time: 1.911, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5346, decode.loss_mask: 0.6536, decode.loss_dice: 0.9444, decode.d0.loss_cls: 1.6327, decode.d0.loss_mask: 0.7023, decode.d0.loss_dice: 1.0836, decode.d1.loss_cls: 0.6225, decode.d1.loss_mask: 0.6813, decode.d1.loss_dice: 1.0252, decode.d2.loss_cls: 0.5675, decode.d2.loss_mask: 0.6587, decode.d2.loss_dice: 0.9829, decode.d3.loss_cls: 0.5549, decode.d3.loss_mask: 0.6509, decode.d3.loss_dice: 0.9562, decode.d4.loss_cls: 0.5486, decode.d4.loss_mask: 0.6482, decode.d4.loss_dice: 0.9475, decode.d5.loss_cls: 0.5464, decode.d5.loss_mask: 0.6506, decode.d5.loss_dice: 0.9464, decode.d6.loss_cls: 0.5392, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9410, decode.d7.loss_cls: 0.5373, decode.d7.loss_mask: 0.6512, decode.d7.loss_dice: 0.9399, decode.d8.loss_cls: 0.5310, decode.d8.loss_mask: 0.6502, decode.d8.loss_dice: 0.9429, loss: 22.9215 2022-04-30 21:34:55,980 - mmseg - INFO - Iter [10800/80000] lr: 1.242e-06, eta: 1 day, 13:20:49, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4983, decode.loss_mask: 0.6330, decode.loss_dice: 0.9020, decode.d0.loss_cls: 1.5521, decode.d0.loss_mask: 0.6854, decode.d0.loss_dice: 1.0399, decode.d1.loss_cls: 0.5823, decode.d1.loss_mask: 0.6665, decode.d1.loss_dice: 0.9721, decode.d2.loss_cls: 0.5304, decode.d2.loss_mask: 0.6503, decode.d2.loss_dice: 0.9283, decode.d3.loss_cls: 0.5131, decode.d3.loss_mask: 0.6405, decode.d3.loss_dice: 0.9060, decode.d4.loss_cls: 0.5098, decode.d4.loss_mask: 0.6386, decode.d4.loss_dice: 0.9131, decode.d5.loss_cls: 0.5069, decode.d5.loss_mask: 0.6366, decode.d5.loss_dice: 0.9086, decode.d6.loss_cls: 0.5054, decode.d6.loss_mask: 0.6382, decode.d6.loss_dice: 0.9029, decode.d7.loss_cls: 0.4970, decode.d7.loss_mask: 0.6391, decode.d7.loss_dice: 0.9100, decode.d8.loss_cls: 0.5021, decode.d8.loss_mask: 0.6335, decode.d8.loss_dice: 0.9061, loss: 21.9481 2022-04-30 21:36:29,581 - mmseg - INFO - Iter [10850/80000] lr: 1.241e-06, eta: 1 day, 13:18:50, time: 1.873, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5305, decode.loss_mask: 0.6325, decode.loss_dice: 0.9016, decode.d0.loss_cls: 1.6419, decode.d0.loss_mask: 0.6776, decode.d0.loss_dice: 1.0270, decode.d1.loss_cls: 0.6135, decode.d1.loss_mask: 0.6650, decode.d1.loss_dice: 0.9655, decode.d2.loss_cls: 0.5600, decode.d2.loss_mask: 0.6433, decode.d2.loss_dice: 0.9405, decode.d3.loss_cls: 0.5445, decode.d3.loss_mask: 0.6374, decode.d3.loss_dice: 0.9135, decode.d4.loss_cls: 0.5393, decode.d4.loss_mask: 0.6340, decode.d4.loss_dice: 0.9147, decode.d5.loss_cls: 0.5402, decode.d5.loss_mask: 0.6272, decode.d5.loss_dice: 0.9078, decode.d6.loss_cls: 0.5287, decode.d6.loss_mask: 0.6276, decode.d6.loss_dice: 0.9008, decode.d7.loss_cls: 0.5300, decode.d7.loss_mask: 0.6310, decode.d7.loss_dice: 0.9069, decode.d8.loss_cls: 0.5351, decode.d8.loss_mask: 0.6288, decode.d8.loss_dice: 0.8973, loss: 22.2437 2022-04-30 21:38:05,327 - mmseg - INFO - Iter [10900/80000] lr: 1.240e-06, eta: 1 day, 13:17:04, time: 1.914, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5212, decode.loss_mask: 0.6451, decode.loss_dice: 0.8987, decode.d0.loss_cls: 1.5825, decode.d0.loss_mask: 0.6988, decode.d0.loss_dice: 1.0493, decode.d1.loss_cls: 0.6177, decode.d1.loss_mask: 0.6722, decode.d1.loss_dice: 0.9781, decode.d2.loss_cls: 0.5764, decode.d2.loss_mask: 0.6528, decode.d2.loss_dice: 0.9245, decode.d3.loss_cls: 0.5477, decode.d3.loss_mask: 0.6501, decode.d3.loss_dice: 0.9117, decode.d4.loss_cls: 0.5391, decode.d4.loss_mask: 0.6511, decode.d4.loss_dice: 0.9076, decode.d5.loss_cls: 0.5343, decode.d5.loss_mask: 0.6459, decode.d5.loss_dice: 0.9060, decode.d6.loss_cls: 0.5314, decode.d6.loss_mask: 0.6394, decode.d6.loss_dice: 0.8945, decode.d7.loss_cls: 0.5218, decode.d7.loss_mask: 0.6454, decode.d7.loss_dice: 0.8974, decode.d8.loss_cls: 0.5201, decode.d8.loss_mask: 0.6495, decode.d8.loss_dice: 0.8959, loss: 22.3058 2022-04-30 21:39:38,308 - mmseg - INFO - Iter [10950/80000] lr: 1.239e-06, eta: 1 day, 13:15:00, time: 1.859, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5275, decode.loss_mask: 0.6392, decode.loss_dice: 0.9238, decode.d0.loss_cls: 1.6148, decode.d0.loss_mask: 0.6798, decode.d0.loss_dice: 1.0619, decode.d1.loss_cls: 0.6181, decode.d1.loss_mask: 0.6706, decode.d1.loss_dice: 0.9848, decode.d2.loss_cls: 0.5668, decode.d2.loss_mask: 0.6478, decode.d2.loss_dice: 0.9484, decode.d3.loss_cls: 0.5486, decode.d3.loss_mask: 0.6394, decode.d3.loss_dice: 0.9304, decode.d4.loss_cls: 0.5473, decode.d4.loss_mask: 0.6350, decode.d4.loss_dice: 0.9330, decode.d5.loss_cls: 0.5406, decode.d5.loss_mask: 0.6353, decode.d5.loss_dice: 0.9260, decode.d6.loss_cls: 0.5351, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.9242, decode.d7.loss_cls: 0.5362, decode.d7.loss_mask: 0.6337, decode.d7.loss_dice: 0.9254, decode.d8.loss_cls: 0.5270, decode.d8.loss_mask: 0.6381, decode.d8.loss_dice: 0.9243, loss: 22.4971 2022-04-30 21:41:15,288 - mmseg - INFO - Saving checkpoint at 11000 iterations 2022-04-30 21:41:32,802 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 21:41:32,806 - mmseg - INFO - Iter [11000/80000] lr: 1.238e-06, eta: 1 day, 13:15:12, time: 2.289, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5365, decode.loss_mask: 0.6495, decode.loss_dice: 0.9185, decode.d0.loss_cls: 1.5942, decode.d0.loss_mask: 0.7019, decode.d0.loss_dice: 1.0577, decode.d1.loss_cls: 0.6291, decode.d1.loss_mask: 0.6752, decode.d1.loss_dice: 0.9973, decode.d2.loss_cls: 0.5711, decode.d2.loss_mask: 0.6599, decode.d2.loss_dice: 0.9649, decode.d3.loss_cls: 0.5581, decode.d3.loss_mask: 0.6525, decode.d3.loss_dice: 0.9346, decode.d4.loss_cls: 0.5484, decode.d4.loss_mask: 0.6544, decode.d4.loss_dice: 0.9353, decode.d5.loss_cls: 0.5420, decode.d5.loss_mask: 0.6496, decode.d5.loss_dice: 0.9302, decode.d6.loss_cls: 0.5375, decode.d6.loss_mask: 0.6444, decode.d6.loss_dice: 0.9136, decode.d7.loss_cls: 0.5350, decode.d7.loss_mask: 0.6519, decode.d7.loss_dice: 0.9221, decode.d8.loss_cls: 0.5354, decode.d8.loss_mask: 0.6483, decode.d8.loss_dice: 0.9181, loss: 22.6672 2022-04-30 21:43:08,444 - mmseg - INFO - Iter [11050/80000] lr: 1.237e-06, eta: 1 day, 13:13:26, time: 1.914, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5342, decode.loss_mask: 0.6339, decode.loss_dice: 0.9279, decode.d0.loss_cls: 1.6087, decode.d0.loss_mask: 0.6771, decode.d0.loss_dice: 1.0673, decode.d1.loss_cls: 0.6300, decode.d1.loss_mask: 0.6645, decode.d1.loss_dice: 1.0019, decode.d2.loss_cls: 0.5713, decode.d2.loss_mask: 0.6515, decode.d2.loss_dice: 0.9573, decode.d3.loss_cls: 0.5531, decode.d3.loss_mask: 0.6404, decode.d3.loss_dice: 0.9409, decode.d4.loss_cls: 0.5482, decode.d4.loss_mask: 0.6382, decode.d4.loss_dice: 0.9394, decode.d5.loss_cls: 0.5449, decode.d5.loss_mask: 0.6369, decode.d5.loss_dice: 0.9371, decode.d6.loss_cls: 0.5394, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9243, decode.d7.loss_cls: 0.5429, decode.d7.loss_mask: 0.6337, decode.d7.loss_dice: 0.9327, decode.d8.loss_cls: 0.5289, decode.d8.loss_mask: 0.6368, decode.d8.loss_dice: 0.9289, loss: 22.6083 2022-04-30 21:44:42,873 - mmseg - INFO - Iter [11100/80000] lr: 1.237e-06, eta: 1 day, 13:11:31, time: 1.888, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5060, decode.loss_mask: 0.6458, decode.loss_dice: 0.8953, decode.d0.loss_cls: 1.5753, decode.d0.loss_mask: 0.6871, decode.d0.loss_dice: 1.0215, decode.d1.loss_cls: 0.5969, decode.d1.loss_mask: 0.6699, decode.d1.loss_dice: 0.9710, decode.d2.loss_cls: 0.5511, decode.d2.loss_mask: 0.6533, decode.d2.loss_dice: 0.9248, decode.d3.loss_cls: 0.5377, decode.d3.loss_mask: 0.6462, decode.d3.loss_dice: 0.9089, decode.d4.loss_cls: 0.5150, decode.d4.loss_mask: 0.6488, decode.d4.loss_dice: 0.9097, decode.d5.loss_cls: 0.5188, decode.d5.loss_mask: 0.6453, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.5179, decode.d6.loss_mask: 0.6389, decode.d6.loss_dice: 0.8936, decode.d7.loss_cls: 0.5148, decode.d7.loss_mask: 0.6445, decode.d7.loss_dice: 0.8978, decode.d8.loss_cls: 0.5114, decode.d8.loss_mask: 0.6419, decode.d8.loss_dice: 0.8912, loss: 22.0875 2022-04-30 21:46:20,037 - mmseg - INFO - Iter [11150/80000] lr: 1.236e-06, eta: 1 day, 13:09:54, time: 1.943, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5015, decode.loss_mask: 0.6510, decode.loss_dice: 0.9225, decode.d0.loss_cls: 1.5615, decode.d0.loss_mask: 0.6964, decode.d0.loss_dice: 1.0762, decode.d1.loss_cls: 0.5974, decode.d1.loss_mask: 0.6760, decode.d1.loss_dice: 1.0080, decode.d2.loss_cls: 0.5472, decode.d2.loss_mask: 0.6553, decode.d2.loss_dice: 0.9629, decode.d3.loss_cls: 0.5175, decode.d3.loss_mask: 0.6511, decode.d3.loss_dice: 0.9396, decode.d4.loss_cls: 0.5141, decode.d4.loss_mask: 0.6536, decode.d4.loss_dice: 0.9393, decode.d5.loss_cls: 0.5142, decode.d5.loss_mask: 0.6476, decode.d5.loss_dice: 0.9347, decode.d6.loss_cls: 0.5107, decode.d6.loss_mask: 0.6492, decode.d6.loss_dice: 0.9254, decode.d7.loss_cls: 0.5071, decode.d7.loss_mask: 0.6475, decode.d7.loss_dice: 0.9281, decode.d8.loss_cls: 0.5053, decode.d8.loss_mask: 0.6530, decode.d8.loss_dice: 0.9311, loss: 22.4252 2022-04-30 21:47:55,310 - mmseg - INFO - Iter [11200/80000] lr: 1.235e-06, eta: 1 day, 13:08:06, time: 1.907, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5138, decode.loss_mask: 0.6243, decode.loss_dice: 0.8887, decode.d0.loss_cls: 1.6083, decode.d0.loss_mask: 0.6816, decode.d0.loss_dice: 1.0304, decode.d1.loss_cls: 0.5987, decode.d1.loss_mask: 0.6630, decode.d1.loss_dice: 0.9680, decode.d2.loss_cls: 0.5437, decode.d2.loss_mask: 0.6412, decode.d2.loss_dice: 0.9229, decode.d3.loss_cls: 0.5372, decode.d3.loss_mask: 0.6328, decode.d3.loss_dice: 0.9074, decode.d4.loss_cls: 0.5253, decode.d4.loss_mask: 0.6295, decode.d4.loss_dice: 0.8993, decode.d5.loss_cls: 0.5220, decode.d5.loss_mask: 0.6316, decode.d5.loss_dice: 0.9006, decode.d6.loss_cls: 0.5177, decode.d6.loss_mask: 0.6255, decode.d6.loss_dice: 0.8891, decode.d7.loss_cls: 0.5130, decode.d7.loss_mask: 0.6243, decode.d7.loss_dice: 0.8902, decode.d8.loss_cls: 0.5191, decode.d8.loss_mask: 0.6235, decode.d8.loss_dice: 0.8931, loss: 21.9659 2022-04-30 21:49:29,421 - mmseg - INFO - Iter [11250/80000] lr: 1.234e-06, eta: 1 day, 13:06:09, time: 1.881, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5132, decode.loss_mask: 0.6386, decode.loss_dice: 0.9122, decode.d0.loss_cls: 1.5864, decode.d0.loss_mask: 0.6845, decode.d0.loss_dice: 1.0579, decode.d1.loss_cls: 0.6149, decode.d1.loss_mask: 0.6758, decode.d1.loss_dice: 0.9950, decode.d2.loss_cls: 0.5512, decode.d2.loss_mask: 0.6566, decode.d2.loss_dice: 0.9538, decode.d3.loss_cls: 0.5355, decode.d3.loss_mask: 0.6473, decode.d3.loss_dice: 0.9262, decode.d4.loss_cls: 0.5299, decode.d4.loss_mask: 0.6442, decode.d4.loss_dice: 0.9178, decode.d5.loss_cls: 0.5210, decode.d5.loss_mask: 0.6445, decode.d5.loss_dice: 0.9164, decode.d6.loss_cls: 0.5205, decode.d6.loss_mask: 0.6392, decode.d6.loss_dice: 0.9138, decode.d7.loss_cls: 0.5166, decode.d7.loss_mask: 0.6394, decode.d7.loss_dice: 0.9104, decode.d8.loss_cls: 0.5137, decode.d8.loss_mask: 0.6405, decode.d8.loss_dice: 0.9097, loss: 22.3270 2022-04-30 21:51:05,431 - mmseg - INFO - Iter [11300/80000] lr: 1.233e-06, eta: 1 day, 13:04:26, time: 1.921, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5053, decode.loss_mask: 0.6349, decode.loss_dice: 0.9000, decode.d0.loss_cls: 1.5687, decode.d0.loss_mask: 0.6862, decode.d0.loss_dice: 1.0568, decode.d1.loss_cls: 0.5887, decode.d1.loss_mask: 0.6696, decode.d1.loss_dice: 0.9850, decode.d2.loss_cls: 0.5445, decode.d2.loss_mask: 0.6526, decode.d2.loss_dice: 0.9398, decode.d3.loss_cls: 0.5248, decode.d3.loss_mask: 0.6405, decode.d3.loss_dice: 0.9207, decode.d4.loss_cls: 0.5184, decode.d4.loss_mask: 0.6393, decode.d4.loss_dice: 0.9138, decode.d5.loss_cls: 0.5135, decode.d5.loss_mask: 0.6383, decode.d5.loss_dice: 0.9144, decode.d6.loss_cls: 0.5060, decode.d6.loss_mask: 0.6364, decode.d6.loss_dice: 0.9090, decode.d7.loss_cls: 0.5033, decode.d7.loss_mask: 0.6358, decode.d7.loss_dice: 0.9094, decode.d8.loss_cls: 0.5085, decode.d8.loss_mask: 0.6354, decode.d8.loss_dice: 0.9014, loss: 22.1011 2022-04-30 21:52:40,719 - mmseg - INFO - Iter [11350/80000] lr: 1.232e-06, eta: 1 day, 13:02:38, time: 1.907, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5025, decode.loss_mask: 0.6067, decode.loss_dice: 0.9083, decode.d0.loss_cls: 1.5677, decode.d0.loss_mask: 0.6496, decode.d0.loss_dice: 1.0453, decode.d1.loss_cls: 0.5940, decode.d1.loss_mask: 0.6386, decode.d1.loss_dice: 0.9977, decode.d2.loss_cls: 0.5451, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.9540, decode.d3.loss_cls: 0.5268, decode.d3.loss_mask: 0.6149, decode.d3.loss_dice: 0.9278, decode.d4.loss_cls: 0.5114, decode.d4.loss_mask: 0.6134, decode.d4.loss_dice: 0.9331, decode.d5.loss_cls: 0.5083, decode.d5.loss_mask: 0.6076, decode.d5.loss_dice: 0.9302, decode.d6.loss_cls: 0.5120, decode.d6.loss_mask: 0.6068, decode.d6.loss_dice: 0.9152, decode.d7.loss_cls: 0.5035, decode.d7.loss_mask: 0.6108, decode.d7.loss_dice: 0.9197, decode.d8.loss_cls: 0.5031, decode.d8.loss_mask: 0.6107, decode.d8.loss_dice: 0.9141, loss: 21.9014 2022-04-30 21:54:20,732 - mmseg - INFO - Iter [11400/80000] lr: 1.231e-06, eta: 1 day, 13:01:18, time: 1.999, data_time: 0.065, memory: 64716, decode.loss_cls: 0.5106, decode.loss_mask: 0.6383, decode.loss_dice: 0.9113, decode.d0.loss_cls: 1.5620, decode.d0.loss_mask: 0.6886, decode.d0.loss_dice: 1.0505, decode.d1.loss_cls: 0.5910, decode.d1.loss_mask: 0.6717, decode.d1.loss_dice: 0.9787, decode.d2.loss_cls: 0.5455, decode.d2.loss_mask: 0.6499, decode.d2.loss_dice: 0.9426, decode.d3.loss_cls: 0.5360, decode.d3.loss_mask: 0.6401, decode.d3.loss_dice: 0.9220, decode.d4.loss_cls: 0.5264, decode.d4.loss_mask: 0.6404, decode.d4.loss_dice: 0.9222, decode.d5.loss_cls: 0.5203, decode.d5.loss_mask: 0.6389, decode.d5.loss_dice: 0.9121, decode.d6.loss_cls: 0.5103, decode.d6.loss_mask: 0.6395, decode.d6.loss_dice: 0.9116, decode.d7.loss_cls: 0.5068, decode.d7.loss_mask: 0.6379, decode.d7.loss_dice: 0.9163, decode.d8.loss_cls: 0.5076, decode.d8.loss_mask: 0.6398, decode.d8.loss_dice: 0.9117, loss: 22.1802 2022-04-30 21:55:57,052 - mmseg - INFO - Iter [11450/80000] lr: 1.230e-06, eta: 1 day, 12:59:36, time: 1.927, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4830, decode.loss_mask: 0.6103, decode.loss_dice: 0.8714, decode.d0.loss_cls: 1.5745, decode.d0.loss_mask: 0.6538, decode.d0.loss_dice: 1.0123, decode.d1.loss_cls: 0.5846, decode.d1.loss_mask: 0.6446, decode.d1.loss_dice: 0.9500, decode.d2.loss_cls: 0.5318, decode.d2.loss_mask: 0.6186, decode.d2.loss_dice: 0.9031, decode.d3.loss_cls: 0.5094, decode.d3.loss_mask: 0.6117, decode.d3.loss_dice: 0.8803, decode.d4.loss_cls: 0.5020, decode.d4.loss_mask: 0.6119, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.4966, decode.d5.loss_mask: 0.6136, decode.d5.loss_dice: 0.8845, decode.d6.loss_cls: 0.4950, decode.d6.loss_mask: 0.6087, decode.d6.loss_dice: 0.8773, decode.d7.loss_cls: 0.4852, decode.d7.loss_mask: 0.6093, decode.d7.loss_dice: 0.8776, decode.d8.loss_cls: 0.4814, decode.d8.loss_mask: 0.6109, decode.d8.loss_dice: 0.8758, loss: 21.3538 2022-04-30 21:57:33,391 - mmseg - INFO - Iter [11500/80000] lr: 1.229e-06, eta: 1 day, 12:57:54, time: 1.926, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4916, decode.loss_mask: 0.6360, decode.loss_dice: 0.9013, decode.d0.loss_cls: 1.5992, decode.d0.loss_mask: 0.6870, decode.d0.loss_dice: 1.0476, decode.d1.loss_cls: 0.5901, decode.d1.loss_mask: 0.6709, decode.d1.loss_dice: 0.9774, decode.d2.loss_cls: 0.5453, decode.d2.loss_mask: 0.6482, decode.d2.loss_dice: 0.9295, decode.d3.loss_cls: 0.5264, decode.d3.loss_mask: 0.6389, decode.d3.loss_dice: 0.9070, decode.d4.loss_cls: 0.5101, decode.d4.loss_mask: 0.6417, decode.d4.loss_dice: 0.9101, decode.d5.loss_cls: 0.5110, decode.d5.loss_mask: 0.6372, decode.d5.loss_dice: 0.9065, decode.d6.loss_cls: 0.4950, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.8898, decode.d7.loss_cls: 0.4928, decode.d7.loss_mask: 0.6376, decode.d7.loss_dice: 0.8982, decode.d8.loss_cls: 0.4957, decode.d8.loss_mask: 0.6349, decode.d8.loss_dice: 0.8941, loss: 21.9851 2022-04-30 21:59:08,130 - mmseg - INFO - Iter [11550/80000] lr: 1.229e-06, eta: 1 day, 12:56:02, time: 1.894, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4830, decode.loss_mask: 0.6247, decode.loss_dice: 0.9068, decode.d0.loss_cls: 1.5770, decode.d0.loss_mask: 0.6723, decode.d0.loss_dice: 1.0424, decode.d1.loss_cls: 0.5849, decode.d1.loss_mask: 0.6532, decode.d1.loss_dice: 0.9824, decode.d2.loss_cls: 0.5346, decode.d2.loss_mask: 0.6380, decode.d2.loss_dice: 0.9385, decode.d3.loss_cls: 0.5065, decode.d3.loss_mask: 0.6307, decode.d3.loss_dice: 0.9230, decode.d4.loss_cls: 0.5008, decode.d4.loss_mask: 0.6300, decode.d4.loss_dice: 0.9201, decode.d5.loss_cls: 0.4982, decode.d5.loss_mask: 0.6255, decode.d5.loss_dice: 0.9162, decode.d6.loss_cls: 0.4976, decode.d6.loss_mask: 0.6222, decode.d6.loss_dice: 0.9048, decode.d7.loss_cls: 0.4875, decode.d7.loss_mask: 0.6261, decode.d7.loss_dice: 0.9131, decode.d8.loss_cls: 0.4844, decode.d8.loss_mask: 0.6250, decode.d8.loss_dice: 0.9082, loss: 21.8576 2022-04-30 22:00:44,139 - mmseg - INFO - Iter [11600/80000] lr: 1.228e-06, eta: 1 day, 12:54:18, time: 1.920, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4778, decode.loss_mask: 0.5992, decode.loss_dice: 0.8655, decode.d0.loss_cls: 1.5595, decode.d0.loss_mask: 0.6491, decode.d0.loss_dice: 1.0006, decode.d1.loss_cls: 0.5591, decode.d1.loss_mask: 0.6334, decode.d1.loss_dice: 0.9424, decode.d2.loss_cls: 0.5126, decode.d2.loss_mask: 0.6179, decode.d2.loss_dice: 0.9025, decode.d3.loss_cls: 0.4975, decode.d3.loss_mask: 0.6090, decode.d3.loss_dice: 0.8812, decode.d4.loss_cls: 0.4895, decode.d4.loss_mask: 0.6047, decode.d4.loss_dice: 0.8839, decode.d5.loss_cls: 0.4859, decode.d5.loss_mask: 0.6037, decode.d5.loss_dice: 0.8721, decode.d6.loss_cls: 0.4811, decode.d6.loss_mask: 0.6011, decode.d6.loss_dice: 0.8670, decode.d7.loss_cls: 0.4781, decode.d7.loss_mask: 0.6020, decode.d7.loss_dice: 0.8650, decode.d8.loss_cls: 0.4778, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8624, loss: 21.0828 2022-04-30 22:02:19,608 - mmseg - INFO - Iter [11650/80000] lr: 1.227e-06, eta: 1 day, 12:52:32, time: 1.911, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4981, decode.loss_mask: 0.5987, decode.loss_dice: 0.9082, decode.d0.loss_cls: 1.5662, decode.d0.loss_mask: 0.6429, decode.d0.loss_dice: 1.0552, decode.d1.loss_cls: 0.6001, decode.d1.loss_mask: 0.6206, decode.d1.loss_dice: 0.9726, decode.d2.loss_cls: 0.5451, decode.d2.loss_mask: 0.6060, decode.d2.loss_dice: 0.9246, decode.d3.loss_cls: 0.5145, decode.d3.loss_mask: 0.5998, decode.d3.loss_dice: 0.9180, decode.d4.loss_cls: 0.5055, decode.d4.loss_mask: 0.6027, decode.d4.loss_dice: 0.9159, decode.d5.loss_cls: 0.5018, decode.d5.loss_mask: 0.5994, decode.d5.loss_dice: 0.9098, decode.d6.loss_cls: 0.4958, decode.d6.loss_mask: 0.5981, decode.d6.loss_dice: 0.9055, decode.d7.loss_cls: 0.4958, decode.d7.loss_mask: 0.5979, decode.d7.loss_dice: 0.9058, decode.d8.loss_cls: 0.5011, decode.d8.loss_mask: 0.5985, decode.d8.loss_dice: 0.8967, loss: 21.6009 2022-04-30 22:03:54,926 - mmseg - INFO - Iter [11700/80000] lr: 1.226e-06, eta: 1 day, 12:50:44, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4894, decode.loss_mask: 0.6438, decode.loss_dice: 0.9096, decode.d0.loss_cls: 1.5775, decode.d0.loss_mask: 0.6977, decode.d0.loss_dice: 1.0360, decode.d1.loss_cls: 0.5911, decode.d1.loss_mask: 0.6798, decode.d1.loss_dice: 0.9844, decode.d2.loss_cls: 0.5363, decode.d2.loss_mask: 0.6600, decode.d2.loss_dice: 0.9478, decode.d3.loss_cls: 0.5180, decode.d3.loss_mask: 0.6453, decode.d3.loss_dice: 0.9156, decode.d4.loss_cls: 0.5099, decode.d4.loss_mask: 0.6465, decode.d4.loss_dice: 0.9215, decode.d5.loss_cls: 0.5034, decode.d5.loss_mask: 0.6419, decode.d5.loss_dice: 0.9181, decode.d6.loss_cls: 0.5016, decode.d6.loss_mask: 0.6396, decode.d6.loss_dice: 0.9075, decode.d7.loss_cls: 0.4989, decode.d7.loss_mask: 0.6389, decode.d7.loss_dice: 0.9047, decode.d8.loss_cls: 0.4991, decode.d8.loss_mask: 0.6395, decode.d8.loss_dice: 0.9123, loss: 22.1155 2022-04-30 22:05:30,070 - mmseg - INFO - Iter [11750/80000] lr: 1.225e-06, eta: 1 day, 12:48:56, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4860, decode.loss_mask: 0.6394, decode.loss_dice: 0.8996, decode.d0.loss_cls: 1.5400, decode.d0.loss_mask: 0.6914, decode.d0.loss_dice: 1.0341, decode.d1.loss_cls: 0.5720, decode.d1.loss_mask: 0.6735, decode.d1.loss_dice: 0.9767, decode.d2.loss_cls: 0.5155, decode.d2.loss_mask: 0.6542, decode.d2.loss_dice: 0.9374, decode.d3.loss_cls: 0.4988, decode.d3.loss_mask: 0.6459, decode.d3.loss_dice: 0.9124, decode.d4.loss_cls: 0.4922, decode.d4.loss_mask: 0.6452, decode.d4.loss_dice: 0.9099, decode.d5.loss_cls: 0.4944, decode.d5.loss_mask: 0.6440, decode.d5.loss_dice: 0.9060, decode.d6.loss_cls: 0.4899, decode.d6.loss_mask: 0.6419, decode.d6.loss_dice: 0.8953, decode.d7.loss_cls: 0.4834, decode.d7.loss_mask: 0.6438, decode.d7.loss_dice: 0.8981, decode.d8.loss_cls: 0.4817, decode.d8.loss_mask: 0.6384, decode.d8.loss_dice: 0.9027, loss: 21.8437 2022-04-30 22:07:04,534 - mmseg - INFO - Iter [11800/80000] lr: 1.224e-06, eta: 1 day, 12:47:03, time: 1.888, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4826, decode.loss_mask: 0.6447, decode.loss_dice: 0.8975, decode.d0.loss_cls: 1.5510, decode.d0.loss_mask: 0.6885, decode.d0.loss_dice: 1.0414, decode.d1.loss_cls: 0.5734, decode.d1.loss_mask: 0.6781, decode.d1.loss_dice: 0.9735, decode.d2.loss_cls: 0.5274, decode.d2.loss_mask: 0.6619, decode.d2.loss_dice: 0.9336, decode.d3.loss_cls: 0.5068, decode.d3.loss_mask: 0.6492, decode.d3.loss_dice: 0.8985, decode.d4.loss_cls: 0.4965, decode.d4.loss_mask: 0.6536, decode.d4.loss_dice: 0.9085, decode.d5.loss_cls: 0.4968, decode.d5.loss_mask: 0.6454, decode.d5.loss_dice: 0.8964, decode.d6.loss_cls: 0.4911, decode.d6.loss_mask: 0.6447, decode.d6.loss_dice: 0.8923, decode.d7.loss_cls: 0.4849, decode.d7.loss_mask: 0.6449, decode.d7.loss_dice: 0.8993, decode.d8.loss_cls: 0.4863, decode.d8.loss_mask: 0.6475, decode.d8.loss_dice: 0.8946, loss: 21.8910 2022-04-30 22:08:39,576 - mmseg - INFO - Iter [11850/80000] lr: 1.223e-06, eta: 1 day, 12:45:14, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4861, decode.loss_mask: 0.6566, decode.loss_dice: 0.9132, decode.d0.loss_cls: 1.5541, decode.d0.loss_mask: 0.7113, decode.d0.loss_dice: 1.0479, decode.d1.loss_cls: 0.5700, decode.d1.loss_mask: 0.6926, decode.d1.loss_dice: 0.9852, decode.d2.loss_cls: 0.5209, decode.d2.loss_mask: 0.6761, decode.d2.loss_dice: 0.9483, decode.d3.loss_cls: 0.5059, decode.d3.loss_mask: 0.6600, decode.d3.loss_dice: 0.9306, decode.d4.loss_cls: 0.4979, decode.d4.loss_mask: 0.6580, decode.d4.loss_dice: 0.9283, decode.d5.loss_cls: 0.4961, decode.d5.loss_mask: 0.6569, decode.d5.loss_dice: 0.9202, decode.d6.loss_cls: 0.4877, decode.d6.loss_mask: 0.6574, decode.d6.loss_dice: 0.9122, decode.d7.loss_cls: 0.4885, decode.d7.loss_mask: 0.6559, decode.d7.loss_dice: 0.9151, decode.d8.loss_cls: 0.4860, decode.d8.loss_mask: 0.6555, decode.d8.loss_dice: 0.9150, loss: 22.1897 2022-04-30 22:10:16,789 - mmseg - INFO - Iter [11900/80000] lr: 1.222e-06, eta: 1 day, 12:43:38, time: 1.944, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5100, decode.loss_mask: 0.6057, decode.loss_dice: 0.8639, decode.d0.loss_cls: 1.6346, decode.d0.loss_mask: 0.6551, decode.d0.loss_dice: 1.0194, decode.d1.loss_cls: 0.6070, decode.d1.loss_mask: 0.6388, decode.d1.loss_dice: 0.9440, decode.d2.loss_cls: 0.5464, decode.d2.loss_mask: 0.6193, decode.d2.loss_dice: 0.9070, decode.d3.loss_cls: 0.5361, decode.d3.loss_mask: 0.6127, decode.d3.loss_dice: 0.8864, decode.d4.loss_cls: 0.5271, decode.d4.loss_mask: 0.6143, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.5136, decode.d5.loss_mask: 0.6094, decode.d5.loss_dice: 0.8816, decode.d6.loss_cls: 0.5123, decode.d6.loss_mask: 0.6057, decode.d6.loss_dice: 0.8635, decode.d7.loss_cls: 0.5089, decode.d7.loss_mask: 0.6086, decode.d7.loss_dice: 0.8734, decode.d8.loss_cls: 0.5051, decode.d8.loss_mask: 0.6077, decode.d8.loss_dice: 0.8683, loss: 21.5704 2022-04-30 22:11:52,415 - mmseg - INFO - Iter [11950/80000] lr: 1.221e-06, eta: 1 day, 12:41:53, time: 1.912, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4795, decode.loss_mask: 0.6234, decode.loss_dice: 0.8868, decode.d0.loss_cls: 1.5453, decode.d0.loss_mask: 0.6688, decode.d0.loss_dice: 1.0290, decode.d1.loss_cls: 0.5712, decode.d1.loss_mask: 0.6535, decode.d1.loss_dice: 0.9639, decode.d2.loss_cls: 0.5221, decode.d2.loss_mask: 0.6373, decode.d2.loss_dice: 0.9237, decode.d3.loss_cls: 0.5052, decode.d3.loss_mask: 0.6205, decode.d3.loss_dice: 0.8983, decode.d4.loss_cls: 0.4936, decode.d4.loss_mask: 0.6258, decode.d4.loss_dice: 0.8979, decode.d5.loss_cls: 0.4877, decode.d5.loss_mask: 0.6273, decode.d5.loss_dice: 0.8984, decode.d6.loss_cls: 0.4859, decode.d6.loss_mask: 0.6215, decode.d6.loss_dice: 0.8881, decode.d7.loss_cls: 0.4778, decode.d7.loss_mask: 0.6269, decode.d7.loss_dice: 0.8914, decode.d8.loss_cls: 0.4802, decode.d8.loss_mask: 0.6235, decode.d8.loss_dice: 0.8911, loss: 21.5456 2022-04-30 22:13:26,749 - mmseg - INFO - Saving checkpoint at 12000 iterations 2022-04-30 22:13:59,269 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 22:13:59,286 - mmseg - INFO - Iter [12000/80000] lr: 1.220e-06, eta: 1 day, 12:43:04, time: 2.534, data_time: 0.017, memory: 64716, decode.loss_cls: 0.5051, decode.loss_mask: 0.6386, decode.loss_dice: 0.9269, decode.d0.loss_cls: 1.5647, decode.d0.loss_mask: 0.6871, decode.d0.loss_dice: 1.0680, decode.d1.loss_cls: 0.5988, decode.d1.loss_mask: 0.6671, decode.d1.loss_dice: 1.0026, decode.d2.loss_cls: 0.5355, decode.d2.loss_mask: 0.6551, decode.d2.loss_dice: 0.9587, decode.d3.loss_cls: 0.5285, decode.d3.loss_mask: 0.6492, decode.d3.loss_dice: 0.9300, decode.d4.loss_cls: 0.5171, decode.d4.loss_mask: 0.6429, decode.d4.loss_dice: 0.9321, decode.d5.loss_cls: 0.5153, decode.d5.loss_mask: 0.6412, decode.d5.loss_dice: 0.9287, decode.d6.loss_cls: 0.5152, decode.d6.loss_mask: 0.6349, decode.d6.loss_dice: 0.9183, decode.d7.loss_cls: 0.5093, decode.d7.loss_mask: 0.6371, decode.d7.loss_dice: 0.9234, decode.d8.loss_cls: 0.5044, decode.d8.loss_mask: 0.6390, decode.d8.loss_dice: 0.9205, loss: 22.2954 2022-04-30 22:15:34,735 - mmseg - INFO - Iter [12050/80000] lr: 1.220e-06, eta: 1 day, 12:41:18, time: 1.913, data_time: 0.020, memory: 64716, decode.loss_cls: 0.4972, decode.loss_mask: 0.6297, decode.loss_dice: 0.9052, decode.d0.loss_cls: 1.5638, decode.d0.loss_mask: 0.6758, decode.d0.loss_dice: 1.0534, decode.d1.loss_cls: 0.5757, decode.d1.loss_mask: 0.6623, decode.d1.loss_dice: 0.9856, decode.d2.loss_cls: 0.5345, decode.d2.loss_mask: 0.6462, decode.d2.loss_dice: 0.9451, decode.d3.loss_cls: 0.5139, decode.d3.loss_mask: 0.6334, decode.d3.loss_dice: 0.9149, decode.d4.loss_cls: 0.5090, decode.d4.loss_mask: 0.6302, decode.d4.loss_dice: 0.9165, decode.d5.loss_cls: 0.5026, decode.d5.loss_mask: 0.6316, decode.d5.loss_dice: 0.9164, decode.d6.loss_cls: 0.4984, decode.d6.loss_mask: 0.6300, decode.d6.loss_dice: 0.9076, decode.d7.loss_cls: 0.5013, decode.d7.loss_mask: 0.6293, decode.d7.loss_dice: 0.9086, decode.d8.loss_cls: 0.5044, decode.d8.loss_mask: 0.6287, decode.d8.loss_dice: 0.9100, loss: 21.9612 2022-04-30 22:17:09,037 - mmseg - INFO - Iter [12100/80000] lr: 1.219e-06, eta: 1 day, 12:39:24, time: 1.887, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5254, decode.loss_mask: 0.6112, decode.loss_dice: 0.8857, decode.d0.loss_cls: 1.5744, decode.d0.loss_mask: 0.6591, decode.d0.loss_dice: 1.0354, decode.d1.loss_cls: 0.6060, decode.d1.loss_mask: 0.6415, decode.d1.loss_dice: 0.9634, decode.d2.loss_cls: 0.5604, decode.d2.loss_mask: 0.6241, decode.d2.loss_dice: 0.9219, decode.d3.loss_cls: 0.5420, decode.d3.loss_mask: 0.6181, decode.d3.loss_dice: 0.8946, decode.d4.loss_cls: 0.5404, decode.d4.loss_mask: 0.6161, decode.d4.loss_dice: 0.8977, decode.d5.loss_cls: 0.5378, decode.d5.loss_mask: 0.6152, decode.d5.loss_dice: 0.8934, decode.d6.loss_cls: 0.5314, decode.d6.loss_mask: 0.6144, decode.d6.loss_dice: 0.8886, decode.d7.loss_cls: 0.5225, decode.d7.loss_mask: 0.6159, decode.d7.loss_dice: 0.8959, decode.d8.loss_cls: 0.5285, decode.d8.loss_mask: 0.6138, decode.d8.loss_dice: 0.8850, loss: 21.8598 2022-04-30 22:18:44,308 - mmseg - INFO - Iter [12150/80000] lr: 1.218e-06, eta: 1 day, 12:37:36, time: 1.904, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5053, decode.loss_mask: 0.6261, decode.loss_dice: 0.9148, decode.d0.loss_cls: 1.5851, decode.d0.loss_mask: 0.6728, decode.d0.loss_dice: 1.0521, decode.d1.loss_cls: 0.5903, decode.d1.loss_mask: 0.6542, decode.d1.loss_dice: 0.9842, decode.d2.loss_cls: 0.5377, decode.d2.loss_mask: 0.6422, decode.d2.loss_dice: 0.9401, decode.d3.loss_cls: 0.5222, decode.d3.loss_mask: 0.6321, decode.d3.loss_dice: 0.9189, decode.d4.loss_cls: 0.5162, decode.d4.loss_mask: 0.6271, decode.d4.loss_dice: 0.9219, decode.d5.loss_cls: 0.5096, decode.d5.loss_mask: 0.6313, decode.d5.loss_dice: 0.9130, decode.d6.loss_cls: 0.5103, decode.d6.loss_mask: 0.6245, decode.d6.loss_dice: 0.9072, decode.d7.loss_cls: 0.5076, decode.d7.loss_mask: 0.6271, decode.d7.loss_dice: 0.9093, decode.d8.loss_cls: 0.5069, decode.d8.loss_mask: 0.6270, decode.d8.loss_dice: 0.9127, loss: 22.0299 2022-04-30 22:20:19,226 - mmseg - INFO - Iter [12200/80000] lr: 1.217e-06, eta: 1 day, 12:35:47, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4851, decode.loss_mask: 0.6230, decode.loss_dice: 0.8982, decode.d0.loss_cls: 1.5289, decode.d0.loss_mask: 0.6697, decode.d0.loss_dice: 1.0354, decode.d1.loss_cls: 0.5796, decode.d1.loss_mask: 0.6549, decode.d1.loss_dice: 0.9748, decode.d2.loss_cls: 0.5260, decode.d2.loss_mask: 0.6463, decode.d2.loss_dice: 0.9330, decode.d3.loss_cls: 0.5053, decode.d3.loss_mask: 0.6368, decode.d3.loss_dice: 0.9145, decode.d4.loss_cls: 0.4935, decode.d4.loss_mask: 0.6327, decode.d4.loss_dice: 0.9159, decode.d5.loss_cls: 0.4946, decode.d5.loss_mask: 0.6292, decode.d5.loss_dice: 0.9141, decode.d6.loss_cls: 0.4913, decode.d6.loss_mask: 0.6274, decode.d6.loss_dice: 0.9016, decode.d7.loss_cls: 0.4866, decode.d7.loss_mask: 0.6266, decode.d7.loss_dice: 0.9047, decode.d8.loss_cls: 0.4832, decode.d8.loss_mask: 0.6266, decode.d8.loss_dice: 0.9009, loss: 21.7403 2022-04-30 22:21:53,478 - mmseg - INFO - Iter [12250/80000] lr: 1.216e-06, eta: 1 day, 12:33:53, time: 1.884, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5034, decode.loss_mask: 0.6434, decode.loss_dice: 0.9245, decode.d0.loss_cls: 1.5589, decode.d0.loss_mask: 0.6982, decode.d0.loss_dice: 1.0584, decode.d1.loss_cls: 0.5995, decode.d1.loss_mask: 0.6769, decode.d1.loss_dice: 0.9976, decode.d2.loss_cls: 0.5409, decode.d2.loss_mask: 0.6647, decode.d2.loss_dice: 0.9598, decode.d3.loss_cls: 0.5143, decode.d3.loss_mask: 0.6556, decode.d3.loss_dice: 0.9393, decode.d4.loss_cls: 0.5096, decode.d4.loss_mask: 0.6544, decode.d4.loss_dice: 0.9481, decode.d5.loss_cls: 0.5052, decode.d5.loss_mask: 0.6513, decode.d5.loss_dice: 0.9358, decode.d6.loss_cls: 0.4974, decode.d6.loss_mask: 0.6495, decode.d6.loss_dice: 0.9179, decode.d7.loss_cls: 0.4931, decode.d7.loss_mask: 0.6508, decode.d7.loss_dice: 0.9271, decode.d8.loss_cls: 0.4967, decode.d8.loss_mask: 0.6483, decode.d8.loss_dice: 0.9263, loss: 22.3471 2022-04-30 22:23:28,278 - mmseg - INFO - Iter [12300/80000] lr: 1.215e-06, eta: 1 day, 12:32:03, time: 1.896, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5178, decode.loss_mask: 0.6256, decode.loss_dice: 0.9020, decode.d0.loss_cls: 1.5982, decode.d0.loss_mask: 0.6748, decode.d0.loss_dice: 1.0373, decode.d1.loss_cls: 0.5996, decode.d1.loss_mask: 0.6618, decode.d1.loss_dice: 0.9830, decode.d2.loss_cls: 0.5568, decode.d2.loss_mask: 0.6357, decode.d2.loss_dice: 0.9444, decode.d3.loss_cls: 0.5370, decode.d3.loss_mask: 0.6284, decode.d3.loss_dice: 0.9164, decode.d4.loss_cls: 0.5250, decode.d4.loss_mask: 0.6276, decode.d4.loss_dice: 0.9136, decode.d5.loss_cls: 0.5219, decode.d5.loss_mask: 0.6292, decode.d5.loss_dice: 0.9101, decode.d6.loss_cls: 0.5145, decode.d6.loss_mask: 0.6269, decode.d6.loss_dice: 0.9018, decode.d7.loss_cls: 0.5086, decode.d7.loss_mask: 0.6278, decode.d7.loss_dice: 0.9061, decode.d8.loss_cls: 0.5099, decode.d8.loss_mask: 0.6310, decode.d8.loss_dice: 0.9053, loss: 22.0781 2022-04-30 22:25:03,609 - mmseg - INFO - Iter [12350/80000] lr: 1.214e-06, eta: 1 day, 12:30:17, time: 1.908, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5197, decode.loss_mask: 0.6317, decode.loss_dice: 0.9272, decode.d0.loss_cls: 1.6175, decode.d0.loss_mask: 0.6789, decode.d0.loss_dice: 1.0781, decode.d1.loss_cls: 0.6199, decode.d1.loss_mask: 0.6585, decode.d1.loss_dice: 1.0117, decode.d2.loss_cls: 0.5691, decode.d2.loss_mask: 0.6431, decode.d2.loss_dice: 0.9646, decode.d3.loss_cls: 0.5483, decode.d3.loss_mask: 0.6352, decode.d3.loss_dice: 0.9350, decode.d4.loss_cls: 0.5358, decode.d4.loss_mask: 0.6353, decode.d4.loss_dice: 0.9339, decode.d5.loss_cls: 0.5329, decode.d5.loss_mask: 0.6374, decode.d5.loss_dice: 0.9331, decode.d6.loss_cls: 0.5299, decode.d6.loss_mask: 0.6280, decode.d6.loss_dice: 0.9210, decode.d7.loss_cls: 0.5199, decode.d7.loss_mask: 0.6345, decode.d7.loss_dice: 0.9313, decode.d8.loss_cls: 0.5189, decode.d8.loss_mask: 0.6357, decode.d8.loss_dice: 0.9308, loss: 22.4970 2022-04-30 22:26:37,812 - mmseg - INFO - Iter [12400/80000] lr: 1.213e-06, eta: 1 day, 12:28:23, time: 1.883, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5259, decode.loss_mask: 0.6053, decode.loss_dice: 0.8868, decode.d0.loss_cls: 1.5931, decode.d0.loss_mask: 0.6525, decode.d0.loss_dice: 1.0383, decode.d1.loss_cls: 0.6070, decode.d1.loss_mask: 0.6382, decode.d1.loss_dice: 0.9659, decode.d2.loss_cls: 0.5565, decode.d2.loss_mask: 0.6177, decode.d2.loss_dice: 0.9275, decode.d3.loss_cls: 0.5349, decode.d3.loss_mask: 0.6155, decode.d3.loss_dice: 0.9058, decode.d4.loss_cls: 0.5303, decode.d4.loss_mask: 0.6108, decode.d4.loss_dice: 0.9063, decode.d5.loss_cls: 0.5320, decode.d5.loss_mask: 0.6074, decode.d5.loss_dice: 0.9010, decode.d6.loss_cls: 0.5245, decode.d6.loss_mask: 0.6072, decode.d6.loss_dice: 0.8887, decode.d7.loss_cls: 0.5196, decode.d7.loss_mask: 0.6070, decode.d7.loss_dice: 0.8902, decode.d8.loss_cls: 0.5217, decode.d8.loss_mask: 0.6065, decode.d8.loss_dice: 0.8871, loss: 21.8110 2022-04-30 22:28:12,279 - mmseg - INFO - Iter [12450/80000] lr: 1.212e-06, eta: 1 day, 12:26:32, time: 1.889, data_time: 0.018, memory: 64716, decode.loss_cls: 0.5094, decode.loss_mask: 0.6353, decode.loss_dice: 0.9295, decode.d0.loss_cls: 1.5795, decode.d0.loss_mask: 0.6825, decode.d0.loss_dice: 1.0518, decode.d1.loss_cls: 0.6009, decode.d1.loss_mask: 0.6647, decode.d1.loss_dice: 1.0028, decode.d2.loss_cls: 0.5511, decode.d2.loss_mask: 0.6464, decode.d2.loss_dice: 0.9529, decode.d3.loss_cls: 0.5272, decode.d3.loss_mask: 0.6427, decode.d3.loss_dice: 0.9372, decode.d4.loss_cls: 0.5168, decode.d4.loss_mask: 0.6439, decode.d4.loss_dice: 0.9367, decode.d5.loss_cls: 0.5120, decode.d5.loss_mask: 0.6390, decode.d5.loss_dice: 0.9308, decode.d6.loss_cls: 0.5107, decode.d6.loss_mask: 0.6336, decode.d6.loss_dice: 0.9169, decode.d7.loss_cls: 0.5065, decode.d7.loss_mask: 0.6346, decode.d7.loss_dice: 0.9259, decode.d8.loss_cls: 0.5120, decode.d8.loss_mask: 0.6338, decode.d8.loss_dice: 0.9226, loss: 22.2896 2022-04-30 22:29:48,475 - mmseg - INFO - Iter [12500/80000] lr: 1.211e-06, eta: 1 day, 12:24:50, time: 1.925, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4947, decode.loss_mask: 0.6089, decode.loss_dice: 0.8975, decode.d0.loss_cls: 1.5670, decode.d0.loss_mask: 0.6689, decode.d0.loss_dice: 1.0275, decode.d1.loss_cls: 0.5935, decode.d1.loss_mask: 0.6449, decode.d1.loss_dice: 0.9600, decode.d2.loss_cls: 0.5400, decode.d2.loss_mask: 0.6279, decode.d2.loss_dice: 0.9331, decode.d3.loss_cls: 0.5210, decode.d3.loss_mask: 0.6179, decode.d3.loss_dice: 0.9137, decode.d4.loss_cls: 0.5172, decode.d4.loss_mask: 0.6166, decode.d4.loss_dice: 0.9098, decode.d5.loss_cls: 0.5123, decode.d5.loss_mask: 0.6143, decode.d5.loss_dice: 0.9101, decode.d6.loss_cls: 0.5083, decode.d6.loss_mask: 0.6077, decode.d6.loss_dice: 0.8914, decode.d7.loss_cls: 0.5000, decode.d7.loss_mask: 0.6088, decode.d7.loss_dice: 0.8989, decode.d8.loss_cls: 0.4958, decode.d8.loss_mask: 0.6104, decode.d8.loss_dice: 0.8978, loss: 21.7159 2022-04-30 22:31:22,493 - mmseg - INFO - Iter [12550/80000] lr: 1.211e-06, eta: 1 day, 12:22:56, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5248, decode.loss_mask: 0.6490, decode.loss_dice: 0.9047, decode.d0.loss_cls: 1.5773, decode.d0.loss_mask: 0.7068, decode.d0.loss_dice: 1.0559, decode.d1.loss_cls: 0.6061, decode.d1.loss_mask: 0.6856, decode.d1.loss_dice: 0.9916, decode.d2.loss_cls: 0.5628, decode.d2.loss_mask: 0.6676, decode.d2.loss_dice: 0.9492, decode.d3.loss_cls: 0.5488, decode.d3.loss_mask: 0.6602, decode.d3.loss_dice: 0.9271, decode.d4.loss_cls: 0.5392, decode.d4.loss_mask: 0.6534, decode.d4.loss_dice: 0.9293, decode.d5.loss_cls: 0.5336, decode.d5.loss_mask: 0.6559, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.5305, decode.d6.loss_mask: 0.6494, decode.d6.loss_dice: 0.9090, decode.d7.loss_cls: 0.5271, decode.d7.loss_mask: 0.6484, decode.d7.loss_dice: 0.9112, decode.d8.loss_cls: 0.5273, decode.d8.loss_mask: 0.6475, decode.d8.loss_dice: 0.9080, loss: 22.5060 2022-04-30 22:32:56,456 - mmseg - INFO - Iter [12600/80000] lr: 1.210e-06, eta: 1 day, 12:21:02, time: 1.879, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4969, decode.loss_mask: 0.6176, decode.loss_dice: 0.8954, decode.d0.loss_cls: 1.5870, decode.d0.loss_mask: 0.6716, decode.d0.loss_dice: 1.0417, decode.d1.loss_cls: 0.5934, decode.d1.loss_mask: 0.6439, decode.d1.loss_dice: 0.9765, decode.d2.loss_cls: 0.5323, decode.d2.loss_mask: 0.6300, decode.d2.loss_dice: 0.9395, decode.d3.loss_cls: 0.5254, decode.d3.loss_mask: 0.6208, decode.d3.loss_dice: 0.9098, decode.d4.loss_cls: 0.5116, decode.d4.loss_mask: 0.6229, decode.d4.loss_dice: 0.9113, decode.d5.loss_cls: 0.5104, decode.d5.loss_mask: 0.6215, decode.d5.loss_dice: 0.9101, decode.d6.loss_cls: 0.5046, decode.d6.loss_mask: 0.6181, decode.d6.loss_dice: 0.8966, decode.d7.loss_cls: 0.4982, decode.d7.loss_mask: 0.6159, decode.d7.loss_dice: 0.9002, decode.d8.loss_cls: 0.5011, decode.d8.loss_mask: 0.6158, decode.d8.loss_dice: 0.9009, loss: 21.8211 2022-04-30 22:34:34,826 - mmseg - INFO - Iter [12650/80000] lr: 1.209e-06, eta: 1 day, 12:19:32, time: 1.967, data_time: 0.065, memory: 64716, decode.loss_cls: 0.4925, decode.loss_mask: 0.6381, decode.loss_dice: 0.9149, decode.d0.loss_cls: 1.5516, decode.d0.loss_mask: 0.6936, decode.d0.loss_dice: 1.0489, decode.d1.loss_cls: 0.5693, decode.d1.loss_mask: 0.6740, decode.d1.loss_dice: 0.9827, decode.d2.loss_cls: 0.5374, decode.d2.loss_mask: 0.6541, decode.d2.loss_dice: 0.9475, decode.d3.loss_cls: 0.5104, decode.d3.loss_mask: 0.6459, decode.d3.loss_dice: 0.9333, decode.d4.loss_cls: 0.5062, decode.d4.loss_mask: 0.6500, decode.d4.loss_dice: 0.9230, decode.d5.loss_cls: 0.5051, decode.d5.loss_mask: 0.6429, decode.d5.loss_dice: 0.9232, decode.d6.loss_cls: 0.4995, decode.d6.loss_mask: 0.6362, decode.d6.loss_dice: 0.9119, decode.d7.loss_cls: 0.4992, decode.d7.loss_mask: 0.6382, decode.d7.loss_dice: 0.9130, decode.d8.loss_cls: 0.4938, decode.d8.loss_mask: 0.6395, decode.d8.loss_dice: 0.9189, loss: 22.0948 2022-04-30 22:36:09,817 - mmseg - INFO - Iter [12700/80000] lr: 1.208e-06, eta: 1 day, 12:17:44, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4513, decode.loss_mask: 0.5973, decode.loss_dice: 0.8719, decode.d0.loss_cls: 1.5315, decode.d0.loss_mask: 0.6425, decode.d0.loss_dice: 1.0028, decode.d1.loss_cls: 0.5414, decode.d1.loss_mask: 0.6247, decode.d1.loss_dice: 0.9528, decode.d2.loss_cls: 0.4955, decode.d2.loss_mask: 0.6077, decode.d2.loss_dice: 0.9058, decode.d3.loss_cls: 0.4848, decode.d3.loss_mask: 0.5986, decode.d3.loss_dice: 0.8819, decode.d4.loss_cls: 0.4711, decode.d4.loss_mask: 0.5964, decode.d4.loss_dice: 0.8816, decode.d5.loss_cls: 0.4663, decode.d5.loss_mask: 0.5967, decode.d5.loss_dice: 0.8810, decode.d6.loss_cls: 0.4610, decode.d6.loss_mask: 0.5933, decode.d6.loss_dice: 0.8714, decode.d7.loss_cls: 0.4534, decode.d7.loss_mask: 0.5962, decode.d7.loss_dice: 0.8703, decode.d8.loss_cls: 0.4543, decode.d8.loss_mask: 0.5929, decode.d8.loss_dice: 0.8776, loss: 20.8539 2022-04-30 22:37:46,364 - mmseg - INFO - Iter [12750/80000] lr: 1.207e-06, eta: 1 day, 12:16:04, time: 1.932, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4865, decode.loss_mask: 0.6375, decode.loss_dice: 0.9065, decode.d0.loss_cls: 1.5620, decode.d0.loss_mask: 0.6892, decode.d0.loss_dice: 1.0438, decode.d1.loss_cls: 0.5750, decode.d1.loss_mask: 0.6748, decode.d1.loss_dice: 0.9872, decode.d2.loss_cls: 0.5247, decode.d2.loss_mask: 0.6531, decode.d2.loss_dice: 0.9424, decode.d3.loss_cls: 0.4993, decode.d3.loss_mask: 0.6446, decode.d3.loss_dice: 0.9228, decode.d4.loss_cls: 0.5001, decode.d4.loss_mask: 0.6441, decode.d4.loss_dice: 0.9205, decode.d5.loss_cls: 0.4882, decode.d5.loss_mask: 0.6399, decode.d5.loss_dice: 0.9193, decode.d6.loss_cls: 0.4853, decode.d6.loss_mask: 0.6380, decode.d6.loss_dice: 0.9088, decode.d7.loss_cls: 0.4824, decode.d7.loss_mask: 0.6394, decode.d7.loss_dice: 0.9122, decode.d8.loss_cls: 0.4834, decode.d8.loss_mask: 0.6406, decode.d8.loss_dice: 0.9136, loss: 21.9651 2022-04-30 22:39:20,504 - mmseg - INFO - Iter [12800/80000] lr: 1.206e-06, eta: 1 day, 12:14:12, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4776, decode.loss_mask: 0.6189, decode.loss_dice: 0.8847, decode.d0.loss_cls: 1.5641, decode.d0.loss_mask: 0.6771, decode.d0.loss_dice: 1.0197, decode.d1.loss_cls: 0.5840, decode.d1.loss_mask: 0.6566, decode.d1.loss_dice: 0.9631, decode.d2.loss_cls: 0.5204, decode.d2.loss_mask: 0.6328, decode.d2.loss_dice: 0.9280, decode.d3.loss_cls: 0.5031, decode.d3.loss_mask: 0.6204, decode.d3.loss_dice: 0.8985, decode.d4.loss_cls: 0.4918, decode.d4.loss_mask: 0.6219, decode.d4.loss_dice: 0.8999, decode.d5.loss_cls: 0.4890, decode.d5.loss_mask: 0.6201, decode.d5.loss_dice: 0.8954, decode.d6.loss_cls: 0.4852, decode.d6.loss_mask: 0.6163, decode.d6.loss_dice: 0.8840, decode.d7.loss_cls: 0.4829, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.8845, decode.d8.loss_cls: 0.4719, decode.d8.loss_mask: 0.6212, decode.d8.loss_dice: 0.8899, loss: 21.5163 2022-04-30 22:40:54,351 - mmseg - INFO - Iter [12850/80000] lr: 1.205e-06, eta: 1 day, 12:12:18, time: 1.877, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4897, decode.loss_mask: 0.6122, decode.loss_dice: 0.8740, decode.d0.loss_cls: 1.5932, decode.d0.loss_mask: 0.6603, decode.d0.loss_dice: 1.0086, decode.d1.loss_cls: 0.5813, decode.d1.loss_mask: 0.6393, decode.d1.loss_dice: 0.9549, decode.d2.loss_cls: 0.5345, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.9078, decode.d3.loss_cls: 0.5117, decode.d3.loss_mask: 0.6186, decode.d3.loss_dice: 0.8951, decode.d4.loss_cls: 0.4991, decode.d4.loss_mask: 0.6133, decode.d4.loss_dice: 0.8900, decode.d5.loss_cls: 0.4970, decode.d5.loss_mask: 0.6129, decode.d5.loss_dice: 0.8869, decode.d6.loss_cls: 0.4941, decode.d6.loss_mask: 0.6110, decode.d6.loss_dice: 0.8767, decode.d7.loss_cls: 0.4890, decode.d7.loss_mask: 0.6122, decode.d7.loss_dice: 0.8773, decode.d8.loss_cls: 0.4909, decode.d8.loss_mask: 0.6128, decode.d8.loss_dice: 0.8780, loss: 21.4452 2022-04-30 22:42:28,513 - mmseg - INFO - Iter [12900/80000] lr: 1.204e-06, eta: 1 day, 12:10:25, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5024, decode.loss_mask: 0.6206, decode.loss_dice: 0.8963, decode.d0.loss_cls: 1.5769, decode.d0.loss_mask: 0.6602, decode.d0.loss_dice: 1.0311, decode.d1.loss_cls: 0.6050, decode.d1.loss_mask: 0.6475, decode.d1.loss_dice: 0.9641, decode.d2.loss_cls: 0.5528, decode.d2.loss_mask: 0.6312, decode.d2.loss_dice: 0.9247, decode.d3.loss_cls: 0.5281, decode.d3.loss_mask: 0.6285, decode.d3.loss_dice: 0.9029, decode.d4.loss_cls: 0.5221, decode.d4.loss_mask: 0.6248, decode.d4.loss_dice: 0.9057, decode.d5.loss_cls: 0.5146, decode.d5.loss_mask: 0.6261, decode.d5.loss_dice: 0.9077, decode.d6.loss_cls: 0.5074, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.8981, decode.d7.loss_cls: 0.5044, decode.d7.loss_mask: 0.6201, decode.d7.loss_dice: 0.9010, decode.d8.loss_cls: 0.5026, decode.d8.loss_mask: 0.6208, decode.d8.loss_dice: 0.8988, loss: 21.8449 2022-04-30 22:44:02,681 - mmseg - INFO - Iter [12950/80000] lr: 1.203e-06, eta: 1 day, 12:08:34, time: 1.884, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4864, decode.loss_mask: 0.6280, decode.loss_dice: 0.8738, decode.d0.loss_cls: 1.5466, decode.d0.loss_mask: 0.6814, decode.d0.loss_dice: 1.0139, decode.d1.loss_cls: 0.5688, decode.d1.loss_mask: 0.6602, decode.d1.loss_dice: 0.9488, decode.d2.loss_cls: 0.5212, decode.d2.loss_mask: 0.6427, decode.d2.loss_dice: 0.9048, decode.d3.loss_cls: 0.5023, decode.d3.loss_mask: 0.6363, decode.d3.loss_dice: 0.8921, decode.d4.loss_cls: 0.4940, decode.d4.loss_mask: 0.6305, decode.d4.loss_dice: 0.8829, decode.d5.loss_cls: 0.4928, decode.d5.loss_mask: 0.6267, decode.d5.loss_dice: 0.8822, decode.d6.loss_cls: 0.4850, decode.d6.loss_mask: 0.6261, decode.d6.loss_dice: 0.8731, decode.d7.loss_cls: 0.4802, decode.d7.loss_mask: 0.6281, decode.d7.loss_dice: 0.8771, decode.d8.loss_cls: 0.4800, decode.d8.loss_mask: 0.6291, decode.d8.loss_dice: 0.8749, loss: 21.4699 2022-04-30 22:45:38,244 - mmseg - INFO - Saving checkpoint at 13000 iterations 2022-04-30 22:46:07,446 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 22:46:07,459 - mmseg - INFO - Iter [13000/80000] lr: 1.202e-06, eta: 1 day, 12:09:19, time: 2.491, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4798, decode.loss_mask: 0.6179, decode.loss_dice: 0.8928, decode.d0.loss_cls: 1.5651, decode.d0.loss_mask: 0.6598, decode.d0.loss_dice: 1.0301, decode.d1.loss_cls: 0.5817, decode.d1.loss_mask: 0.6511, decode.d1.loss_dice: 0.9664, decode.d2.loss_cls: 0.5290, decode.d2.loss_mask: 0.6274, decode.d2.loss_dice: 0.9274, decode.d3.loss_cls: 0.5165, decode.d3.loss_mask: 0.6183, decode.d3.loss_dice: 0.8948, decode.d4.loss_cls: 0.4947, decode.d4.loss_mask: 0.6190, decode.d4.loss_dice: 0.8953, decode.d5.loss_cls: 0.4934, decode.d5.loss_mask: 0.6219, decode.d5.loss_dice: 0.8941, decode.d6.loss_cls: 0.4831, decode.d6.loss_mask: 0.6184, decode.d6.loss_dice: 0.8904, decode.d7.loss_cls: 0.4841, decode.d7.loss_mask: 0.6180, decode.d7.loss_dice: 0.8870, decode.d8.loss_cls: 0.4877, decode.d8.loss_mask: 0.6180, decode.d8.loss_dice: 0.8874, loss: 21.5509 2022-04-30 22:47:42,464 - mmseg - INFO - Iter [13050/80000] lr: 1.202e-06, eta: 1 day, 12:07:32, time: 1.905, data_time: 0.020, memory: 64716, decode.loss_cls: 0.4906, decode.loss_mask: 0.5965, decode.loss_dice: 0.8782, decode.d0.loss_cls: 1.5891, decode.d0.loss_mask: 0.6503, decode.d0.loss_dice: 0.9985, decode.d1.loss_cls: 0.5898, decode.d1.loss_mask: 0.6263, decode.d1.loss_dice: 0.9434, decode.d2.loss_cls: 0.5396, decode.d2.loss_mask: 0.6145, decode.d2.loss_dice: 0.9088, decode.d3.loss_cls: 0.5220, decode.d3.loss_mask: 0.6069, decode.d3.loss_dice: 0.8884, decode.d4.loss_cls: 0.5111, decode.d4.loss_mask: 0.6038, decode.d4.loss_dice: 0.8883, decode.d5.loss_cls: 0.4972, decode.d5.loss_mask: 0.6002, decode.d5.loss_dice: 0.8845, decode.d6.loss_cls: 0.4947, decode.d6.loss_mask: 0.5954, decode.d6.loss_dice: 0.8807, decode.d7.loss_cls: 0.4913, decode.d7.loss_mask: 0.5950, decode.d7.loss_dice: 0.8803, decode.d8.loss_cls: 0.4851, decode.d8.loss_mask: 0.5944, decode.d8.loss_dice: 0.8789, loss: 21.3237 2022-04-30 22:49:17,456 - mmseg - INFO - Iter [13100/80000] lr: 1.201e-06, eta: 1 day, 12:05:43, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5009, decode.loss_mask: 0.6163, decode.loss_dice: 0.9083, decode.d0.loss_cls: 1.5849, decode.d0.loss_mask: 0.6727, decode.d0.loss_dice: 1.0424, decode.d1.loss_cls: 0.6056, decode.d1.loss_mask: 0.6517, decode.d1.loss_dice: 0.9827, decode.d2.loss_cls: 0.5381, decode.d2.loss_mask: 0.6272, decode.d2.loss_dice: 0.9406, decode.d3.loss_cls: 0.5299, decode.d3.loss_mask: 0.6170, decode.d3.loss_dice: 0.9118, decode.d4.loss_cls: 0.5233, decode.d4.loss_mask: 0.6175, decode.d4.loss_dice: 0.9140, decode.d5.loss_cls: 0.5093, decode.d5.loss_mask: 0.6200, decode.d5.loss_dice: 0.9122, decode.d6.loss_cls: 0.5042, decode.d6.loss_mask: 0.6168, decode.d6.loss_dice: 0.9044, decode.d7.loss_cls: 0.5009, decode.d7.loss_mask: 0.6163, decode.d7.loss_dice: 0.9101, decode.d8.loss_cls: 0.4945, decode.d8.loss_mask: 0.6175, decode.d8.loss_dice: 0.9055, loss: 21.8967 2022-04-30 22:50:52,167 - mmseg - INFO - Iter [13150/80000] lr: 1.200e-06, eta: 1 day, 12:03:54, time: 1.894, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4857, decode.loss_mask: 0.6081, decode.loss_dice: 0.8993, decode.d0.loss_cls: 1.5368, decode.d0.loss_mask: 0.6707, decode.d0.loss_dice: 1.0325, decode.d1.loss_cls: 0.5826, decode.d1.loss_mask: 0.6415, decode.d1.loss_dice: 0.9659, decode.d2.loss_cls: 0.5269, decode.d2.loss_mask: 0.6269, decode.d2.loss_dice: 0.9332, decode.d3.loss_cls: 0.5039, decode.d3.loss_mask: 0.6171, decode.d3.loss_dice: 0.9152, decode.d4.loss_cls: 0.5014, decode.d4.loss_mask: 0.6136, decode.d4.loss_dice: 0.9071, decode.d5.loss_cls: 0.4952, decode.d5.loss_mask: 0.6110, decode.d5.loss_dice: 0.9120, decode.d6.loss_cls: 0.4885, decode.d6.loss_mask: 0.6088, decode.d6.loss_dice: 0.8958, decode.d7.loss_cls: 0.4886, decode.d7.loss_mask: 0.6073, decode.d7.loss_dice: 0.8960, decode.d8.loss_cls: 0.4868, decode.d8.loss_mask: 0.6066, decode.d8.loss_dice: 0.8992, loss: 21.5641 2022-04-30 22:52:28,015 - mmseg - INFO - Iter [13200/80000] lr: 1.199e-06, eta: 1 day, 12:02:11, time: 1.917, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4764, decode.loss_mask: 0.6255, decode.loss_dice: 0.9198, decode.d0.loss_cls: 1.5390, decode.d0.loss_mask: 0.6704, decode.d0.loss_dice: 1.0477, decode.d1.loss_cls: 0.5700, decode.d1.loss_mask: 0.6533, decode.d1.loss_dice: 0.9832, decode.d2.loss_cls: 0.5233, decode.d2.loss_mask: 0.6345, decode.d2.loss_dice: 0.9430, decode.d3.loss_cls: 0.5021, decode.d3.loss_mask: 0.6287, decode.d3.loss_dice: 0.9265, decode.d4.loss_cls: 0.4912, decode.d4.loss_mask: 0.6248, decode.d4.loss_dice: 0.9221, decode.d5.loss_cls: 0.4931, decode.d5.loss_mask: 0.6277, decode.d5.loss_dice: 0.9186, decode.d6.loss_cls: 0.4818, decode.d6.loss_mask: 0.6268, decode.d6.loss_dice: 0.9128, decode.d7.loss_cls: 0.4838, decode.d7.loss_mask: 0.6263, decode.d7.loss_dice: 0.9175, decode.d8.loss_cls: 0.4848, decode.d8.loss_mask: 0.6258, decode.d8.loss_dice: 0.9168, loss: 21.7974 2022-04-30 22:54:02,782 - mmseg - INFO - Iter [13250/80000] lr: 1.198e-06, eta: 1 day, 12:00:22, time: 1.896, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4695, decode.loss_mask: 0.6381, decode.loss_dice: 0.9028, decode.d0.loss_cls: 1.5304, decode.d0.loss_mask: 0.6740, decode.d0.loss_dice: 1.0272, decode.d1.loss_cls: 0.5637, decode.d1.loss_mask: 0.6605, decode.d1.loss_dice: 0.9764, decode.d2.loss_cls: 0.5090, decode.d2.loss_mask: 0.6427, decode.d2.loss_dice: 0.9383, decode.d3.loss_cls: 0.4920, decode.d3.loss_mask: 0.6343, decode.d3.loss_dice: 0.9148, decode.d4.loss_cls: 0.4892, decode.d4.loss_mask: 0.6318, decode.d4.loss_dice: 0.9147, decode.d5.loss_cls: 0.4890, decode.d5.loss_mask: 0.6325, decode.d5.loss_dice: 0.9041, decode.d6.loss_cls: 0.4788, decode.d6.loss_mask: 0.6325, decode.d6.loss_dice: 0.8960, decode.d7.loss_cls: 0.4712, decode.d7.loss_mask: 0.6322, decode.d7.loss_dice: 0.9006, decode.d8.loss_cls: 0.4665, decode.d8.loss_mask: 0.6370, decode.d8.loss_dice: 0.9072, loss: 21.6571 2022-04-30 22:55:38,546 - mmseg - INFO - Iter [13300/80000] lr: 1.197e-06, eta: 1 day, 11:58:38, time: 1.914, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4789, decode.loss_mask: 0.6380, decode.loss_dice: 0.9086, decode.d0.loss_cls: 1.5299, decode.d0.loss_mask: 0.6866, decode.d0.loss_dice: 1.0376, decode.d1.loss_cls: 0.5737, decode.d1.loss_mask: 0.6657, decode.d1.loss_dice: 0.9766, decode.d2.loss_cls: 0.5230, decode.d2.loss_mask: 0.6496, decode.d2.loss_dice: 0.9414, decode.d3.loss_cls: 0.5051, decode.d3.loss_mask: 0.6427, decode.d3.loss_dice: 0.9231, decode.d4.loss_cls: 0.5041, decode.d4.loss_mask: 0.6390, decode.d4.loss_dice: 0.9108, decode.d5.loss_cls: 0.4955, decode.d5.loss_mask: 0.6360, decode.d5.loss_dice: 0.9117, decode.d6.loss_cls: 0.4867, decode.d6.loss_mask: 0.6346, decode.d6.loss_dice: 0.9038, decode.d7.loss_cls: 0.4852, decode.d7.loss_mask: 0.6384, decode.d7.loss_dice: 0.9020, decode.d8.loss_cls: 0.4835, decode.d8.loss_mask: 0.6360, decode.d8.loss_dice: 0.9071, loss: 21.8548 2022-04-30 22:57:16,558 - mmseg - INFO - Iter [13350/80000] lr: 1.196e-06, eta: 1 day, 11:57:06, time: 1.961, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4915, decode.loss_mask: 0.6272, decode.loss_dice: 0.8865, decode.d0.loss_cls: 1.5587, decode.d0.loss_mask: 0.6698, decode.d0.loss_dice: 1.0230, decode.d1.loss_cls: 0.5786, decode.d1.loss_mask: 0.6585, decode.d1.loss_dice: 0.9641, decode.d2.loss_cls: 0.5288, decode.d2.loss_mask: 0.6376, decode.d2.loss_dice: 0.9195, decode.d3.loss_cls: 0.5095, decode.d3.loss_mask: 0.6346, decode.d3.loss_dice: 0.8986, decode.d4.loss_cls: 0.5011, decode.d4.loss_mask: 0.6323, decode.d4.loss_dice: 0.8992, decode.d5.loss_cls: 0.4991, decode.d5.loss_mask: 0.6292, decode.d5.loss_dice: 0.8951, decode.d6.loss_cls: 0.4911, decode.d6.loss_mask: 0.6273, decode.d6.loss_dice: 0.8943, decode.d7.loss_cls: 0.4883, decode.d7.loss_mask: 0.6298, decode.d7.loss_dice: 0.8967, decode.d8.loss_cls: 0.4909, decode.d8.loss_mask: 0.6252, decode.d8.loss_dice: 0.8950, loss: 21.6813 2022-04-30 23:00:24,627 - mmseg - INFO - Iter [13400/80000] lr: 1.195e-06, eta: 1 day, 12:03:01, time: 3.760, data_time: 0.016, memory: 64716, decode.loss_cls: 0.5015, decode.loss_mask: 0.6417, decode.loss_dice: 0.8948, decode.d0.loss_cls: 1.5624, decode.d0.loss_mask: 0.6927, decode.d0.loss_dice: 1.0363, decode.d1.loss_cls: 0.5901, decode.d1.loss_mask: 0.6679, decode.d1.loss_dice: 0.9693, decode.d2.loss_cls: 0.5372, decode.d2.loss_mask: 0.6530, decode.d2.loss_dice: 0.9234, decode.d3.loss_cls: 0.5159, decode.d3.loss_mask: 0.6493, decode.d3.loss_dice: 0.9084, decode.d4.loss_cls: 0.5099, decode.d4.loss_mask: 0.6466, decode.d4.loss_dice: 0.9146, decode.d5.loss_cls: 0.5048, decode.d5.loss_mask: 0.6409, decode.d5.loss_dice: 0.9145, decode.d6.loss_cls: 0.5029, decode.d6.loss_mask: 0.6395, decode.d6.loss_dice: 0.8951, decode.d7.loss_cls: 0.5043, decode.d7.loss_mask: 0.6376, decode.d7.loss_dice: 0.8932, decode.d8.loss_cls: 0.4993, decode.d8.loss_mask: 0.6444, decode.d8.loss_dice: 0.8974, loss: 21.9888 2022-04-30 23:02:00,445 - mmseg - INFO - Iter [13450/80000] lr: 1.194e-06, eta: 1 day, 12:01:15, time: 1.916, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4948, decode.loss_mask: 0.6100, decode.loss_dice: 0.8968, decode.d0.loss_cls: 1.5631, decode.d0.loss_mask: 0.6519, decode.d0.loss_dice: 1.0334, decode.d1.loss_cls: 0.5892, decode.d1.loss_mask: 0.6358, decode.d1.loss_dice: 0.9704, decode.d2.loss_cls: 0.5308, decode.d2.loss_mask: 0.6206, decode.d2.loss_dice: 0.9295, decode.d3.loss_cls: 0.5065, decode.d3.loss_mask: 0.6154, decode.d3.loss_dice: 0.9090, decode.d4.loss_cls: 0.4991, decode.d4.loss_mask: 0.6200, decode.d4.loss_dice: 0.9140, decode.d5.loss_cls: 0.4961, decode.d5.loss_mask: 0.6179, decode.d5.loss_dice: 0.9055, decode.d6.loss_cls: 0.4915, decode.d6.loss_mask: 0.6116, decode.d6.loss_dice: 0.8926, decode.d7.loss_cls: 0.4981, decode.d7.loss_mask: 0.6097, decode.d7.loss_dice: 0.8946, decode.d8.loss_cls: 0.4891, decode.d8.loss_mask: 0.6137, decode.d8.loss_dice: 0.9019, loss: 21.6124 2022-04-30 23:03:44,530 - mmseg - INFO - Iter [13500/80000] lr: 1.194e-06, eta: 1 day, 12:00:11, time: 2.083, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4769, decode.loss_mask: 0.6300, decode.loss_dice: 0.8832, decode.d0.loss_cls: 1.5099, decode.d0.loss_mask: 0.6821, decode.d0.loss_dice: 1.0230, decode.d1.loss_cls: 0.5510, decode.d1.loss_mask: 0.6682, decode.d1.loss_dice: 0.9577, decode.d2.loss_cls: 0.4985, decode.d2.loss_mask: 0.6444, decode.d2.loss_dice: 0.9197, decode.d3.loss_cls: 0.4910, decode.d3.loss_mask: 0.6348, decode.d3.loss_dice: 0.8974, decode.d4.loss_cls: 0.4780, decode.d4.loss_mask: 0.6360, decode.d4.loss_dice: 0.8966, decode.d5.loss_cls: 0.4780, decode.d5.loss_mask: 0.6292, decode.d5.loss_dice: 0.8881, decode.d6.loss_cls: 0.4761, decode.d6.loss_mask: 0.6280, decode.d6.loss_dice: 0.8864, decode.d7.loss_cls: 0.4786, decode.d7.loss_mask: 0.6282, decode.d7.loss_dice: 0.8899, decode.d8.loss_cls: 0.4757, decode.d8.loss_mask: 0.6282, decode.d8.loss_dice: 0.8805, loss: 21.4453 2022-04-30 23:05:21,333 - mmseg - INFO - Iter [13550/80000] lr: 1.193e-06, eta: 1 day, 11:58:30, time: 1.935, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4820, decode.loss_mask: 0.6138, decode.loss_dice: 0.8904, decode.d0.loss_cls: 1.5370, decode.d0.loss_mask: 0.6664, decode.d0.loss_dice: 1.0163, decode.d1.loss_cls: 0.5727, decode.d1.loss_mask: 0.6470, decode.d1.loss_dice: 0.9594, decode.d2.loss_cls: 0.5240, decode.d2.loss_mask: 0.6256, decode.d2.loss_dice: 0.9201, decode.d3.loss_cls: 0.5023, decode.d3.loss_mask: 0.6190, decode.d3.loss_dice: 0.8990, decode.d4.loss_cls: 0.4967, decode.d4.loss_mask: 0.6160, decode.d4.loss_dice: 0.8923, decode.d5.loss_cls: 0.4904, decode.d5.loss_mask: 0.6153, decode.d5.loss_dice: 0.8986, decode.d6.loss_cls: 0.4865, decode.d6.loss_mask: 0.6137, decode.d6.loss_dice: 0.8852, decode.d7.loss_cls: 0.4855, decode.d7.loss_mask: 0.6148, decode.d7.loss_dice: 0.8846, decode.d8.loss_cls: 0.4857, decode.d8.loss_mask: 0.6147, decode.d8.loss_dice: 0.8929, loss: 21.4481 2022-04-30 23:06:57,312 - mmseg - INFO - Iter [13600/80000] lr: 1.192e-06, eta: 1 day, 11:56:45, time: 1.919, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4945, decode.loss_mask: 0.6190, decode.loss_dice: 0.9026, decode.d0.loss_cls: 1.5641, decode.d0.loss_mask: 0.6622, decode.d0.loss_dice: 1.0481, decode.d1.loss_cls: 0.5959, decode.d1.loss_mask: 0.6549, decode.d1.loss_dice: 0.9858, decode.d2.loss_cls: 0.5465, decode.d2.loss_mask: 0.6266, decode.d2.loss_dice: 0.9461, decode.d3.loss_cls: 0.5172, decode.d3.loss_mask: 0.6243, decode.d3.loss_dice: 0.9241, decode.d4.loss_cls: 0.5080, decode.d4.loss_mask: 0.6276, decode.d4.loss_dice: 0.9226, decode.d5.loss_cls: 0.5056, decode.d5.loss_mask: 0.6222, decode.d5.loss_dice: 0.9171, decode.d6.loss_cls: 0.4970, decode.d6.loss_mask: 0.6189, decode.d6.loss_dice: 0.9026, decode.d7.loss_cls: 0.4943, decode.d7.loss_mask: 0.6176, decode.d7.loss_dice: 0.9071, decode.d8.loss_cls: 0.4929, decode.d8.loss_mask: 0.6188, decode.d8.loss_dice: 0.9081, loss: 21.8723 2022-04-30 23:08:34,051 - mmseg - INFO - Iter [13650/80000] lr: 1.191e-06, eta: 1 day, 11:55:04, time: 1.936, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4877, decode.loss_mask: 0.6561, decode.loss_dice: 0.8846, decode.d0.loss_cls: 1.5236, decode.d0.loss_mask: 0.6943, decode.d0.loss_dice: 1.0329, decode.d1.loss_cls: 0.5925, decode.d1.loss_mask: 0.6783, decode.d1.loss_dice: 0.9622, decode.d2.loss_cls: 0.5335, decode.d2.loss_mask: 0.6669, decode.d2.loss_dice: 0.9286, decode.d3.loss_cls: 0.5192, decode.d3.loss_mask: 0.6572, decode.d3.loss_dice: 0.9003, decode.d4.loss_cls: 0.5050, decode.d4.loss_mask: 0.6601, decode.d4.loss_dice: 0.9001, decode.d5.loss_cls: 0.5042, decode.d5.loss_mask: 0.6577, decode.d5.loss_dice: 0.8994, decode.d6.loss_cls: 0.4941, decode.d6.loss_mask: 0.6571, decode.d6.loss_dice: 0.8870, decode.d7.loss_cls: 0.4928, decode.d7.loss_mask: 0.6578, decode.d7.loss_dice: 0.8908, decode.d8.loss_cls: 0.4846, decode.d8.loss_mask: 0.6586, decode.d8.loss_dice: 0.8951, loss: 21.9623 2022-04-30 23:10:11,761 - mmseg - INFO - Iter [13700/80000] lr: 1.190e-06, eta: 1 day, 11:53:28, time: 1.954, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4779, decode.loss_mask: 0.6108, decode.loss_dice: 0.8842, decode.d0.loss_cls: 1.5070, decode.d0.loss_mask: 0.6493, decode.d0.loss_dice: 1.0015, decode.d1.loss_cls: 0.5709, decode.d1.loss_mask: 0.6341, decode.d1.loss_dice: 0.9473, decode.d2.loss_cls: 0.5250, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.9032, decode.d3.loss_cls: 0.5031, decode.d3.loss_mask: 0.6118, decode.d3.loss_dice: 0.8916, decode.d4.loss_cls: 0.4905, decode.d4.loss_mask: 0.6136, decode.d4.loss_dice: 0.8939, decode.d5.loss_cls: 0.4872, decode.d5.loss_mask: 0.6088, decode.d5.loss_dice: 0.8897, decode.d6.loss_cls: 0.4857, decode.d6.loss_mask: 0.6113, decode.d6.loss_dice: 0.8784, decode.d7.loss_cls: 0.4791, decode.d7.loss_mask: 0.6101, decode.d7.loss_dice: 0.8821, decode.d8.loss_cls: 0.4767, decode.d8.loss_mask: 0.6060, decode.d8.loss_dice: 0.8822, loss: 21.2318 2022-04-30 23:13:21,238 - mmseg - INFO - Iter [13750/80000] lr: 1.189e-06, eta: 1 day, 11:59:14, time: 3.788, data_time: 0.051, memory: 64716, decode.loss_cls: 0.4814, decode.loss_mask: 0.6217, decode.loss_dice: 0.8737, decode.d0.loss_cls: 1.5245, decode.d0.loss_mask: 0.6766, decode.d0.loss_dice: 1.0153, decode.d1.loss_cls: 0.5690, decode.d1.loss_mask: 0.6552, decode.d1.loss_dice: 0.9587, decode.d2.loss_cls: 0.5268, decode.d2.loss_mask: 0.6337, decode.d2.loss_dice: 0.9052, decode.d3.loss_cls: 0.5090, decode.d3.loss_mask: 0.6205, decode.d3.loss_dice: 0.8923, decode.d4.loss_cls: 0.4961, decode.d4.loss_mask: 0.6253, decode.d4.loss_dice: 0.8863, decode.d5.loss_cls: 0.4983, decode.d5.loss_mask: 0.6204, decode.d5.loss_dice: 0.8867, decode.d6.loss_cls: 0.4859, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.8751, decode.d7.loss_cls: 0.4795, decode.d7.loss_mask: 0.6202, decode.d7.loss_dice: 0.8777, decode.d8.loss_cls: 0.4766, decode.d8.loss_mask: 0.6210, decode.d8.loss_dice: 0.8813, loss: 21.4123 2022-04-30 23:14:54,250 - mmseg - INFO - Iter [13800/80000] lr: 1.188e-06, eta: 1 day, 11:57:13, time: 1.859, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4902, decode.loss_mask: 0.6388, decode.loss_dice: 0.8985, decode.d0.loss_cls: 1.5287, decode.d0.loss_mask: 0.6909, decode.d0.loss_dice: 1.0263, decode.d1.loss_cls: 0.5831, decode.d1.loss_mask: 0.6697, decode.d1.loss_dice: 0.9643, decode.d2.loss_cls: 0.5303, decode.d2.loss_mask: 0.6605, decode.d2.loss_dice: 0.9308, decode.d3.loss_cls: 0.5158, decode.d3.loss_mask: 0.6471, decode.d3.loss_dice: 0.9009, decode.d4.loss_cls: 0.5066, decode.d4.loss_mask: 0.6468, decode.d4.loss_dice: 0.9030, decode.d5.loss_cls: 0.5015, decode.d5.loss_mask: 0.6471, decode.d5.loss_dice: 0.9044, decode.d6.loss_cls: 0.4926, decode.d6.loss_mask: 0.6378, decode.d6.loss_dice: 0.8954, decode.d7.loss_cls: 0.4904, decode.d7.loss_mask: 0.6397, decode.d7.loss_dice: 0.8990, decode.d8.loss_cls: 0.4873, decode.d8.loss_mask: 0.6393, decode.d8.loss_dice: 0.9023, loss: 21.8692 2022-04-30 23:16:33,755 - mmseg - INFO - Iter [13850/80000] lr: 1.187e-06, eta: 1 day, 11:55:44, time: 1.991, data_time: 0.015, memory: 64716, decode.loss_cls: 0.5048, decode.loss_mask: 0.6342, decode.loss_dice: 0.8834, decode.d0.loss_cls: 1.5619, decode.d0.loss_mask: 0.6878, decode.d0.loss_dice: 1.0429, decode.d1.loss_cls: 0.6061, decode.d1.loss_mask: 0.6668, decode.d1.loss_dice: 0.9696, decode.d2.loss_cls: 0.5442, decode.d2.loss_mask: 0.6493, decode.d2.loss_dice: 0.9309, decode.d3.loss_cls: 0.5271, decode.d3.loss_mask: 0.6348, decode.d3.loss_dice: 0.9073, decode.d4.loss_cls: 0.5152, decode.d4.loss_mask: 0.6358, decode.d4.loss_dice: 0.9050, decode.d5.loss_cls: 0.5062, decode.d5.loss_mask: 0.6368, decode.d5.loss_dice: 0.9000, decode.d6.loss_cls: 0.5075, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.8940, decode.d7.loss_cls: 0.5033, decode.d7.loss_mask: 0.6343, decode.d7.loss_dice: 0.8928, decode.d8.loss_cls: 0.5025, decode.d8.loss_mask: 0.6381, decode.d8.loss_dice: 0.8858, loss: 21.9424 2022-04-30 23:19:44,621 - mmseg - INFO - Iter [13900/80000] lr: 1.186e-06, eta: 1 day, 12:01:29, time: 3.817, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4829, decode.loss_mask: 0.6245, decode.loss_dice: 0.8764, decode.d0.loss_cls: 1.5305, decode.d0.loss_mask: 0.6754, decode.d0.loss_dice: 1.0041, decode.d1.loss_cls: 0.5699, decode.d1.loss_mask: 0.6583, decode.d1.loss_dice: 0.9490, decode.d2.loss_cls: 0.5266, decode.d2.loss_mask: 0.6405, decode.d2.loss_dice: 0.9174, decode.d3.loss_cls: 0.5001, decode.d3.loss_mask: 0.6336, decode.d3.loss_dice: 0.8944, decode.d4.loss_cls: 0.4942, decode.d4.loss_mask: 0.6312, decode.d4.loss_dice: 0.8897, decode.d5.loss_cls: 0.4862, decode.d5.loss_mask: 0.6297, decode.d5.loss_dice: 0.8859, decode.d6.loss_cls: 0.4851, decode.d6.loss_mask: 0.6243, decode.d6.loss_dice: 0.8805, decode.d7.loss_cls: 0.4779, decode.d7.loss_mask: 0.6271, decode.d7.loss_dice: 0.8808, decode.d8.loss_cls: 0.4764, decode.d8.loss_mask: 0.6257, decode.d8.loss_dice: 0.8775, loss: 21.4556 2022-04-30 23:21:22,993 - mmseg - INFO - Iter [13950/80000] lr: 1.185e-06, eta: 1 day, 11:59:52, time: 1.967, data_time: 0.066, memory: 64716, decode.loss_cls: 0.4915, decode.loss_mask: 0.5967, decode.loss_dice: 0.8889, decode.d0.loss_cls: 1.5744, decode.d0.loss_mask: 0.6449, decode.d0.loss_dice: 1.0285, decode.d1.loss_cls: 0.5825, decode.d1.loss_mask: 0.6225, decode.d1.loss_dice: 0.9653, decode.d2.loss_cls: 0.5341, decode.d2.loss_mask: 0.6096, decode.d2.loss_dice: 0.9264, decode.d3.loss_cls: 0.5133, decode.d3.loss_mask: 0.6018, decode.d3.loss_dice: 0.9046, decode.d4.loss_cls: 0.5095, decode.d4.loss_mask: 0.6019, decode.d4.loss_dice: 0.8969, decode.d5.loss_cls: 0.4994, decode.d5.loss_mask: 0.6003, decode.d5.loss_dice: 0.8942, decode.d6.loss_cls: 0.4962, decode.d6.loss_mask: 0.5962, decode.d6.loss_dice: 0.8818, decode.d7.loss_cls: 0.4940, decode.d7.loss_mask: 0.5969, decode.d7.loss_dice: 0.8872, decode.d8.loss_cls: 0.4916, decode.d8.loss_mask: 0.5979, decode.d8.loss_dice: 0.8862, loss: 21.4149 2022-04-30 23:23:06,397 - mmseg - INFO - Saving checkpoint at 14000 iterations 2022-04-30 23:23:35,962 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 23:23:35,968 - mmseg - INFO - Iter [14000/80000] lr: 1.185e-06, eta: 1 day, 12:00:57, time: 2.655, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4706, decode.loss_mask: 0.6084, decode.loss_dice: 0.8765, decode.d0.loss_cls: 1.5444, decode.d0.loss_mask: 0.6595, decode.d0.loss_dice: 1.0159, decode.d1.loss_cls: 0.5585, decode.d1.loss_mask: 0.6385, decode.d1.loss_dice: 0.9505, decode.d2.loss_cls: 0.5028, decode.d2.loss_mask: 0.6221, decode.d2.loss_dice: 0.9133, decode.d3.loss_cls: 0.4920, decode.d3.loss_mask: 0.6137, decode.d3.loss_dice: 0.8846, decode.d4.loss_cls: 0.4777, decode.d4.loss_mask: 0.6127, decode.d4.loss_dice: 0.8905, decode.d5.loss_cls: 0.4794, decode.d5.loss_mask: 0.6088, decode.d5.loss_dice: 0.8812, decode.d6.loss_cls: 0.4767, decode.d6.loss_mask: 0.6064, decode.d6.loss_dice: 0.8695, decode.d7.loss_cls: 0.4714, decode.d7.loss_mask: 0.6091, decode.d7.loss_dice: 0.8764, decode.d8.loss_cls: 0.4715, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8710, loss: 21.1594 2022-04-30 23:26:49,793 - mmseg - INFO - Iter [14050/80000] lr: 1.184e-06, eta: 1 day, 12:06:49, time: 3.882, data_time: 0.021, memory: 64716, decode.loss_cls: 0.4745, decode.loss_mask: 0.6066, decode.loss_dice: 0.8695, decode.d0.loss_cls: 1.5902, decode.d0.loss_mask: 0.6521, decode.d0.loss_dice: 1.0044, decode.d1.loss_cls: 0.5695, decode.d1.loss_mask: 0.6378, decode.d1.loss_dice: 0.9312, decode.d2.loss_cls: 0.5205, decode.d2.loss_mask: 0.6156, decode.d2.loss_dice: 0.8992, decode.d3.loss_cls: 0.5022, decode.d3.loss_mask: 0.6113, decode.d3.loss_dice: 0.8758, decode.d4.loss_cls: 0.4938, decode.d4.loss_mask: 0.6099, decode.d4.loss_dice: 0.8763, decode.d5.loss_cls: 0.4864, decode.d5.loss_mask: 0.6027, decode.d5.loss_dice: 0.8691, decode.d6.loss_cls: 0.4803, decode.d6.loss_mask: 0.6035, decode.d6.loss_dice: 0.8646, decode.d7.loss_cls: 0.4746, decode.d7.loss_mask: 0.6048, decode.d7.loss_dice: 0.8761, decode.d8.loss_cls: 0.4745, decode.d8.loss_mask: 0.6074, decode.d8.loss_dice: 0.8740, loss: 21.1584 2022-04-30 23:28:24,221 - mmseg - INFO - Iter [14100/80000] lr: 1.183e-06, eta: 1 day, 12:04:51, time: 1.888, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4937, decode.loss_mask: 0.6328, decode.loss_dice: 0.9242, decode.d0.loss_cls: 1.5490, decode.d0.loss_mask: 0.6835, decode.d0.loss_dice: 1.0487, decode.d1.loss_cls: 0.5752, decode.d1.loss_mask: 0.6681, decode.d1.loss_dice: 1.0008, decode.d2.loss_cls: 0.5257, decode.d2.loss_mask: 0.6501, decode.d2.loss_dice: 0.9703, decode.d3.loss_cls: 0.5122, decode.d3.loss_mask: 0.6376, decode.d3.loss_dice: 0.9416, decode.d4.loss_cls: 0.5002, decode.d4.loss_mask: 0.6379, decode.d4.loss_dice: 0.9481, decode.d5.loss_cls: 0.5003, decode.d5.loss_mask: 0.6376, decode.d5.loss_dice: 0.9384, decode.d6.loss_cls: 0.4936, decode.d6.loss_mask: 0.6314, decode.d6.loss_dice: 0.9288, decode.d7.loss_cls: 0.4941, decode.d7.loss_mask: 0.6295, decode.d7.loss_dice: 0.9252, decode.d8.loss_cls: 0.4885, decode.d8.loss_mask: 0.6324, decode.d8.loss_dice: 0.9256, loss: 22.1250 2022-04-30 23:30:06,420 - mmseg - INFO - Iter [14150/80000] lr: 1.182e-06, eta: 1 day, 12:03:29, time: 2.044, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4654, decode.loss_mask: 0.6246, decode.loss_dice: 0.8857, decode.d0.loss_cls: 1.5664, decode.d0.loss_mask: 0.6702, decode.d0.loss_dice: 1.0136, decode.d1.loss_cls: 0.5605, decode.d1.loss_mask: 0.6552, decode.d1.loss_dice: 0.9599, decode.d2.loss_cls: 0.5143, decode.d2.loss_mask: 0.6296, decode.d2.loss_dice: 0.9149, decode.d3.loss_cls: 0.4835, decode.d3.loss_mask: 0.6298, decode.d3.loss_dice: 0.8944, decode.d4.loss_cls: 0.4711, decode.d4.loss_mask: 0.6272, decode.d4.loss_dice: 0.8933, decode.d5.loss_cls: 0.4754, decode.d5.loss_mask: 0.6236, decode.d5.loss_dice: 0.8929, decode.d6.loss_cls: 0.4684, decode.d6.loss_mask: 0.6239, decode.d6.loss_dice: 0.8854, decode.d7.loss_cls: 0.4669, decode.d7.loss_mask: 0.6252, decode.d7.loss_dice: 0.8878, decode.d8.loss_cls: 0.4674, decode.d8.loss_mask: 0.6224, decode.d8.loss_dice: 0.8847, loss: 21.3835 2022-04-30 23:33:16,675 - mmseg - INFO - Iter [14200/80000] lr: 1.181e-06, eta: 1 day, 12:08:55, time: 3.805, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4581, decode.loss_mask: 0.6094, decode.loss_dice: 0.8668, decode.d0.loss_cls: 1.5295, decode.d0.loss_mask: 0.6625, decode.d0.loss_dice: 1.0017, decode.d1.loss_cls: 0.5471, decode.d1.loss_mask: 0.6466, decode.d1.loss_dice: 0.9526, decode.d2.loss_cls: 0.4991, decode.d2.loss_mask: 0.6227, decode.d2.loss_dice: 0.9084, decode.d3.loss_cls: 0.4755, decode.d3.loss_mask: 0.6165, decode.d3.loss_dice: 0.8926, decode.d4.loss_cls: 0.4712, decode.d4.loss_mask: 0.6142, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.4648, decode.d5.loss_mask: 0.6107, decode.d5.loss_dice: 0.8835, decode.d6.loss_cls: 0.4556, decode.d6.loss_mask: 0.6104, decode.d6.loss_dice: 0.8753, decode.d7.loss_cls: 0.4506, decode.d7.loss_mask: 0.6117, decode.d7.loss_dice: 0.8796, decode.d8.loss_cls: 0.4535, decode.d8.loss_mask: 0.6093, decode.d8.loss_dice: 0.8714, loss: 21.0355 2022-04-30 23:34:53,815 - mmseg - INFO - Iter [14250/80000] lr: 1.180e-06, eta: 1 day, 12:07:08, time: 1.943, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4854, decode.loss_mask: 0.6054, decode.loss_dice: 0.8943, decode.d0.loss_cls: 1.5421, decode.d0.loss_mask: 0.6541, decode.d0.loss_dice: 1.0164, decode.d1.loss_cls: 0.5767, decode.d1.loss_mask: 0.6311, decode.d1.loss_dice: 0.9685, decode.d2.loss_cls: 0.5311, decode.d2.loss_mask: 0.6160, decode.d2.loss_dice: 0.9191, decode.d3.loss_cls: 0.5102, decode.d3.loss_mask: 0.6075, decode.d3.loss_dice: 0.9031, decode.d4.loss_cls: 0.4999, decode.d4.loss_mask: 0.6087, decode.d4.loss_dice: 0.9014, decode.d5.loss_cls: 0.4999, decode.d5.loss_mask: 0.6021, decode.d5.loss_dice: 0.8981, decode.d6.loss_cls: 0.4905, decode.d6.loss_mask: 0.6016, decode.d6.loss_dice: 0.8899, decode.d7.loss_cls: 0.4915, decode.d7.loss_mask: 0.6031, decode.d7.loss_dice: 0.8923, decode.d8.loss_cls: 0.4864, decode.d8.loss_mask: 0.6045, decode.d8.loss_dice: 0.8926, loss: 21.4236 2022-04-30 23:36:33,635 - mmseg - INFO - Iter [14300/80000] lr: 1.179e-06, eta: 1 day, 12:05:34, time: 1.996, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4610, decode.loss_mask: 0.5705, decode.loss_dice: 0.8679, decode.d0.loss_cls: 1.5237, decode.d0.loss_mask: 0.6215, decode.d0.loss_dice: 0.9914, decode.d1.loss_cls: 0.5513, decode.d1.loss_mask: 0.6011, decode.d1.loss_dice: 0.9336, decode.d2.loss_cls: 0.5006, decode.d2.loss_mask: 0.5865, decode.d2.loss_dice: 0.8966, decode.d3.loss_cls: 0.4833, decode.d3.loss_mask: 0.5831, decode.d3.loss_dice: 0.8763, decode.d4.loss_cls: 0.4701, decode.d4.loss_mask: 0.5807, decode.d4.loss_dice: 0.8809, decode.d5.loss_cls: 0.4692, decode.d5.loss_mask: 0.5777, decode.d5.loss_dice: 0.8721, decode.d6.loss_cls: 0.4648, decode.d6.loss_mask: 0.5776, decode.d6.loss_dice: 0.8645, decode.d7.loss_cls: 0.4601, decode.d7.loss_mask: 0.5724, decode.d7.loss_dice: 0.8662, decode.d8.loss_cls: 0.4603, decode.d8.loss_mask: 0.5714, decode.d8.loss_dice: 0.8621, loss: 20.5987 2022-04-30 23:38:07,285 - mmseg - INFO - Iter [14350/80000] lr: 1.178e-06, eta: 1 day, 12:03:31, time: 1.874, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4700, decode.loss_mask: 0.6300, decode.loss_dice: 0.9042, decode.d0.loss_cls: 1.5533, decode.d0.loss_mask: 0.6865, decode.d0.loss_dice: 1.0367, decode.d1.loss_cls: 0.5615, decode.d1.loss_mask: 0.6621, decode.d1.loss_dice: 0.9932, decode.d2.loss_cls: 0.5161, decode.d2.loss_mask: 0.6454, decode.d2.loss_dice: 0.9404, decode.d3.loss_cls: 0.4935, decode.d3.loss_mask: 0.6371, decode.d3.loss_dice: 0.9175, decode.d4.loss_cls: 0.4840, decode.d4.loss_mask: 0.6338, decode.d4.loss_dice: 0.9231, decode.d5.loss_cls: 0.4853, decode.d5.loss_mask: 0.6324, decode.d5.loss_dice: 0.9202, decode.d6.loss_cls: 0.4724, decode.d6.loss_mask: 0.6301, decode.d6.loss_dice: 0.9095, decode.d7.loss_cls: 0.4693, decode.d7.loss_mask: 0.6329, decode.d7.loss_dice: 0.9102, decode.d8.loss_cls: 0.4728, decode.d8.loss_mask: 0.6336, decode.d8.loss_dice: 0.9061, loss: 21.7633 2022-04-30 23:39:41,806 - mmseg - INFO - Iter [14400/80000] lr: 1.177e-06, eta: 1 day, 12:01:32, time: 1.889, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4749, decode.loss_mask: 0.6107, decode.loss_dice: 0.8617, decode.d0.loss_cls: 1.5384, decode.d0.loss_mask: 0.6637, decode.d0.loss_dice: 0.9999, decode.d1.loss_cls: 0.5634, decode.d1.loss_mask: 0.6423, decode.d1.loss_dice: 0.9281, decode.d2.loss_cls: 0.5103, decode.d2.loss_mask: 0.6241, decode.d2.loss_dice: 0.8930, decode.d3.loss_cls: 0.4890, decode.d3.loss_mask: 0.6168, decode.d3.loss_dice: 0.8717, decode.d4.loss_cls: 0.4818, decode.d4.loss_mask: 0.6151, decode.d4.loss_dice: 0.8754, decode.d5.loss_cls: 0.4803, decode.d5.loss_mask: 0.6140, decode.d5.loss_dice: 0.8698, decode.d6.loss_cls: 0.4790, decode.d6.loss_mask: 0.6110, decode.d6.loss_dice: 0.8539, decode.d7.loss_cls: 0.4769, decode.d7.loss_mask: 0.6123, decode.d7.loss_dice: 0.8630, decode.d8.loss_cls: 0.4757, decode.d8.loss_mask: 0.6114, decode.d8.loss_dice: 0.8570, loss: 21.0644 2022-04-30 23:41:16,199 - mmseg - INFO - Iter [14450/80000] lr: 1.176e-06, eta: 1 day, 11:59:33, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4824, decode.loss_mask: 0.6187, decode.loss_dice: 0.8915, decode.d0.loss_cls: 1.5156, decode.d0.loss_mask: 0.6637, decode.d0.loss_dice: 1.0328, decode.d1.loss_cls: 0.5865, decode.d1.loss_mask: 0.6484, decode.d1.loss_dice: 0.9660, decode.d2.loss_cls: 0.5133, decode.d2.loss_mask: 0.6334, decode.d2.loss_dice: 0.9275, decode.d3.loss_cls: 0.4918, decode.d3.loss_mask: 0.6243, decode.d3.loss_dice: 0.9100, decode.d4.loss_cls: 0.4853, decode.d4.loss_mask: 0.6229, decode.d4.loss_dice: 0.9075, decode.d5.loss_cls: 0.4807, decode.d5.loss_mask: 0.6205, decode.d5.loss_dice: 0.9035, decode.d6.loss_cls: 0.4780, decode.d6.loss_mask: 0.6188, decode.d6.loss_dice: 0.9008, decode.d7.loss_cls: 0.4785, decode.d7.loss_mask: 0.6187, decode.d7.loss_dice: 0.8991, decode.d8.loss_cls: 0.4759, decode.d8.loss_mask: 0.6172, decode.d8.loss_dice: 0.8965, loss: 21.5097 2022-04-30 23:42:52,010 - mmseg - INFO - Iter [14500/80000] lr: 1.176e-06, eta: 1 day, 11:57:41, time: 1.915, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4632, decode.loss_mask: 0.6105, decode.loss_dice: 0.8660, decode.d0.loss_cls: 1.5014, decode.d0.loss_mask: 0.6581, decode.d0.loss_dice: 0.9903, decode.d1.loss_cls: 0.5375, decode.d1.loss_mask: 0.6451, decode.d1.loss_dice: 0.9384, decode.d2.loss_cls: 0.4884, decode.d2.loss_mask: 0.6215, decode.d2.loss_dice: 0.8996, decode.d3.loss_cls: 0.4756, decode.d3.loss_mask: 0.6178, decode.d3.loss_dice: 0.8857, decode.d4.loss_cls: 0.4663, decode.d4.loss_mask: 0.6172, decode.d4.loss_dice: 0.8830, decode.d5.loss_cls: 0.4663, decode.d5.loss_mask: 0.6162, decode.d5.loss_dice: 0.8809, decode.d6.loss_cls: 0.4644, decode.d6.loss_mask: 0.6083, decode.d6.loss_dice: 0.8724, decode.d7.loss_cls: 0.4575, decode.d7.loss_mask: 0.6144, decode.d7.loss_dice: 0.8753, decode.d8.loss_cls: 0.4593, decode.d8.loss_mask: 0.6135, decode.d8.loss_dice: 0.8719, loss: 20.9657 2022-04-30 23:44:27,071 - mmseg - INFO - Iter [14550/80000] lr: 1.175e-06, eta: 1 day, 11:55:45, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4742, decode.loss_mask: 0.6163, decode.loss_dice: 0.8788, decode.d0.loss_cls: 1.5143, decode.d0.loss_mask: 0.6634, decode.d0.loss_dice: 1.0239, decode.d1.loss_cls: 0.5536, decode.d1.loss_mask: 0.6534, decode.d1.loss_dice: 0.9572, decode.d2.loss_cls: 0.5180, decode.d2.loss_mask: 0.6299, decode.d2.loss_dice: 0.9152, decode.d3.loss_cls: 0.4937, decode.d3.loss_mask: 0.6245, decode.d3.loss_dice: 0.9000, decode.d4.loss_cls: 0.4939, decode.d4.loss_mask: 0.6193, decode.d4.loss_dice: 0.8857, decode.d5.loss_cls: 0.4833, decode.d5.loss_mask: 0.6153, decode.d5.loss_dice: 0.8895, decode.d6.loss_cls: 0.4803, decode.d6.loss_mask: 0.6190, decode.d6.loss_dice: 0.8793, decode.d7.loss_cls: 0.4784, decode.d7.loss_mask: 0.6195, decode.d7.loss_dice: 0.8805, decode.d8.loss_cls: 0.4729, decode.d8.loss_mask: 0.6164, decode.d8.loss_dice: 0.8809, loss: 21.3308 2022-04-30 23:46:00,737 - mmseg - INFO - Iter [14600/80000] lr: 1.174e-06, eta: 1 day, 11:53:43, time: 1.872, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4668, decode.loss_mask: 0.6116, decode.loss_dice: 0.8719, decode.d0.loss_cls: 1.5293, decode.d0.loss_mask: 0.6590, decode.d0.loss_dice: 0.9979, decode.d1.loss_cls: 0.5495, decode.d1.loss_mask: 0.6443, decode.d1.loss_dice: 0.9466, decode.d2.loss_cls: 0.5027, decode.d2.loss_mask: 0.6261, decode.d2.loss_dice: 0.9075, decode.d3.loss_cls: 0.4824, decode.d3.loss_mask: 0.6175, decode.d3.loss_dice: 0.8900, decode.d4.loss_cls: 0.4779, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.8793, decode.d5.loss_cls: 0.4698, decode.d5.loss_mask: 0.6140, decode.d5.loss_dice: 0.8879, decode.d6.loss_cls: 0.4649, decode.d6.loss_mask: 0.6143, decode.d6.loss_dice: 0.8796, decode.d7.loss_cls: 0.4578, decode.d7.loss_mask: 0.6134, decode.d7.loss_dice: 0.8824, decode.d8.loss_cls: 0.4651, decode.d8.loss_mask: 0.6122, decode.d8.loss_dice: 0.8737, loss: 21.1117 2022-04-30 23:47:35,991 - mmseg - INFO - Iter [14650/80000] lr: 1.173e-06, eta: 1 day, 11:51:49, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4856, decode.loss_mask: 0.6051, decode.loss_dice: 0.8817, decode.d0.loss_cls: 1.5529, decode.d0.loss_mask: 0.6474, decode.d0.loss_dice: 1.0094, decode.d1.loss_cls: 0.5690, decode.d1.loss_mask: 0.6320, decode.d1.loss_dice: 0.9583, decode.d2.loss_cls: 0.5221, decode.d2.loss_mask: 0.6138, decode.d2.loss_dice: 0.9108, decode.d3.loss_cls: 0.5063, decode.d3.loss_mask: 0.6098, decode.d3.loss_dice: 0.8917, decode.d4.loss_cls: 0.4933, decode.d4.loss_mask: 0.6053, decode.d4.loss_dice: 0.8878, decode.d5.loss_cls: 0.4916, decode.d5.loss_mask: 0.6073, decode.d5.loss_dice: 0.8903, decode.d6.loss_cls: 0.4869, decode.d6.loss_mask: 0.6026, decode.d6.loss_dice: 0.8744, decode.d7.loss_cls: 0.4871, decode.d7.loss_mask: 0.6034, decode.d7.loss_dice: 0.8836, decode.d8.loss_cls: 0.4836, decode.d8.loss_mask: 0.6044, decode.d8.loss_dice: 0.8782, loss: 21.2755 2022-04-30 23:49:10,661 - mmseg - INFO - Iter [14700/80000] lr: 1.172e-06, eta: 1 day, 11:49:52, time: 1.893, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4845, decode.loss_mask: 0.6162, decode.loss_dice: 0.8875, decode.d0.loss_cls: 1.5521, decode.d0.loss_mask: 0.6635, decode.d0.loss_dice: 1.0297, decode.d1.loss_cls: 0.5827, decode.d1.loss_mask: 0.6443, decode.d1.loss_dice: 0.9538, decode.d2.loss_cls: 0.5283, decode.d2.loss_mask: 0.6261, decode.d2.loss_dice: 0.9136, decode.d3.loss_cls: 0.5040, decode.d3.loss_mask: 0.6173, decode.d3.loss_dice: 0.8985, decode.d4.loss_cls: 0.4980, decode.d4.loss_mask: 0.6194, decode.d4.loss_dice: 0.8964, decode.d5.loss_cls: 0.4967, decode.d5.loss_mask: 0.6163, decode.d5.loss_dice: 0.8925, decode.d6.loss_cls: 0.4889, decode.d6.loss_mask: 0.6107, decode.d6.loss_dice: 0.8884, decode.d7.loss_cls: 0.4827, decode.d7.loss_mask: 0.6124, decode.d7.loss_dice: 0.8913, decode.d8.loss_cls: 0.4881, decode.d8.loss_mask: 0.6142, decode.d8.loss_dice: 0.8902, loss: 21.4883 2022-04-30 23:50:45,554 - mmseg - INFO - Iter [14750/80000] lr: 1.171e-06, eta: 1 day, 11:47:55, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4933, decode.loss_mask: 0.6324, decode.loss_dice: 0.8970, decode.d0.loss_cls: 1.5373, decode.d0.loss_mask: 0.6870, decode.d0.loss_dice: 1.0282, decode.d1.loss_cls: 0.5786, decode.d1.loss_mask: 0.6637, decode.d1.loss_dice: 0.9732, decode.d2.loss_cls: 0.5290, decode.d2.loss_mask: 0.6469, decode.d2.loss_dice: 0.9301, decode.d3.loss_cls: 0.5198, decode.d3.loss_mask: 0.6395, decode.d3.loss_dice: 0.9139, decode.d4.loss_cls: 0.5073, decode.d4.loss_mask: 0.6344, decode.d4.loss_dice: 0.9123, decode.d5.loss_cls: 0.5034, decode.d5.loss_mask: 0.6404, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.4981, decode.d6.loss_mask: 0.6343, decode.d6.loss_dice: 0.8942, decode.d7.loss_cls: 0.4924, decode.d7.loss_mask: 0.6342, decode.d7.loss_dice: 0.9011, decode.d8.loss_cls: 0.4929, decode.d8.loss_mask: 0.6350, decode.d8.loss_dice: 0.8982, loss: 21.8552 2022-04-30 23:52:20,098 - mmseg - INFO - Iter [14800/80000] lr: 1.170e-06, eta: 1 day, 11:45:58, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4616, decode.loss_mask: 0.5989, decode.loss_dice: 0.8640, decode.d0.loss_cls: 1.4978, decode.d0.loss_mask: 0.6602, decode.d0.loss_dice: 0.9945, decode.d1.loss_cls: 0.5490, decode.d1.loss_mask: 0.6382, decode.d1.loss_dice: 0.9458, decode.d2.loss_cls: 0.5090, decode.d2.loss_mask: 0.6181, decode.d2.loss_dice: 0.8926, decode.d3.loss_cls: 0.4861, decode.d3.loss_mask: 0.6102, decode.d3.loss_dice: 0.8749, decode.d4.loss_cls: 0.4775, decode.d4.loss_mask: 0.6091, decode.d4.loss_dice: 0.8759, decode.d5.loss_cls: 0.4706, decode.d5.loss_mask: 0.6046, decode.d5.loss_dice: 0.8699, decode.d6.loss_cls: 0.4570, decode.d6.loss_mask: 0.6041, decode.d6.loss_dice: 0.8608, decode.d7.loss_cls: 0.4619, decode.d7.loss_mask: 0.6029, decode.d7.loss_dice: 0.8621, decode.d8.loss_cls: 0.4646, decode.d8.loss_mask: 0.6019, decode.d8.loss_dice: 0.8604, loss: 20.8842 2022-04-30 23:53:56,133 - mmseg - INFO - Iter [14850/80000] lr: 1.169e-06, eta: 1 day, 11:44:08, time: 1.923, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4849, decode.loss_mask: 0.6329, decode.loss_dice: 0.8997, decode.d0.loss_cls: 1.5355, decode.d0.loss_mask: 0.6818, decode.d0.loss_dice: 1.0442, decode.d1.loss_cls: 0.5730, decode.d1.loss_mask: 0.6624, decode.d1.loss_dice: 0.9803, decode.d2.loss_cls: 0.5273, decode.d2.loss_mask: 0.6461, decode.d2.loss_dice: 0.9325, decode.d3.loss_cls: 0.5075, decode.d3.loss_mask: 0.6345, decode.d3.loss_dice: 0.9116, decode.d4.loss_cls: 0.4971, decode.d4.loss_mask: 0.6381, decode.d4.loss_dice: 0.9113, decode.d5.loss_cls: 0.4982, decode.d5.loss_mask: 0.6353, decode.d5.loss_dice: 0.9101, decode.d6.loss_cls: 0.4944, decode.d6.loss_mask: 0.6274, decode.d6.loss_dice: 0.8978, decode.d7.loss_cls: 0.4875, decode.d7.loss_mask: 0.6321, decode.d7.loss_dice: 0.8985, decode.d8.loss_cls: 0.4801, decode.d8.loss_mask: 0.6318, decode.d8.loss_dice: 0.9016, loss: 21.7956 2022-04-30 23:55:31,609 - mmseg - INFO - Iter [14900/80000] lr: 1.168e-06, eta: 1 day, 11:42:15, time: 1.909, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4738, decode.loss_mask: 0.6208, decode.loss_dice: 0.8683, decode.d0.loss_cls: 1.5441, decode.d0.loss_mask: 0.6703, decode.d0.loss_dice: 1.0030, decode.d1.loss_cls: 0.5588, decode.d1.loss_mask: 0.6560, decode.d1.loss_dice: 0.9580, decode.d2.loss_cls: 0.5079, decode.d2.loss_mask: 0.6353, decode.d2.loss_dice: 0.9114, decode.d3.loss_cls: 0.4985, decode.d3.loss_mask: 0.6282, decode.d3.loss_dice: 0.8798, decode.d4.loss_cls: 0.4877, decode.d4.loss_mask: 0.6234, decode.d4.loss_dice: 0.8879, decode.d5.loss_cls: 0.4831, decode.d5.loss_mask: 0.6241, decode.d5.loss_dice: 0.8841, decode.d6.loss_cls: 0.4699, decode.d6.loss_mask: 0.6254, decode.d6.loss_dice: 0.8760, decode.d7.loss_cls: 0.4686, decode.d7.loss_mask: 0.6229, decode.d7.loss_dice: 0.8697, decode.d8.loss_cls: 0.4747, decode.d8.loss_mask: 0.6232, decode.d8.loss_dice: 0.8652, loss: 21.3004 2022-04-30 23:57:07,421 - mmseg - INFO - Iter [14950/80000] lr: 1.167e-06, eta: 1 day, 11:40:23, time: 1.916, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4803, decode.loss_mask: 0.6214, decode.loss_dice: 0.8764, decode.d0.loss_cls: 1.5521, decode.d0.loss_mask: 0.6726, decode.d0.loss_dice: 1.0187, decode.d1.loss_cls: 0.5756, decode.d1.loss_mask: 0.6560, decode.d1.loss_dice: 0.9613, decode.d2.loss_cls: 0.5316, decode.d2.loss_mask: 0.6267, decode.d2.loss_dice: 0.9122, decode.d3.loss_cls: 0.5028, decode.d3.loss_mask: 0.6206, decode.d3.loss_dice: 0.8885, decode.d4.loss_cls: 0.4991, decode.d4.loss_mask: 0.6185, decode.d4.loss_dice: 0.8990, decode.d5.loss_cls: 0.4973, decode.d5.loss_mask: 0.6213, decode.d5.loss_dice: 0.8930, decode.d6.loss_cls: 0.4904, decode.d6.loss_mask: 0.6196, decode.d6.loss_dice: 0.8790, decode.d7.loss_cls: 0.4830, decode.d7.loss_mask: 0.6175, decode.d7.loss_dice: 0.8835, decode.d8.loss_cls: 0.4860, decode.d8.loss_mask: 0.6202, decode.d8.loss_dice: 0.8769, loss: 21.4808 2022-04-30 23:58:40,866 - mmseg - INFO - Saving checkpoint at 15000 iterations 2022-04-30 23:59:12,785 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-04-30 23:59:12,794 - mmseg - INFO - Iter [15000/80000] lr: 1.167e-06, eta: 1 day, 11:40:40, time: 2.506, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4656, decode.loss_mask: 0.6380, decode.loss_dice: 0.8838, decode.d0.loss_cls: 1.5024, decode.d0.loss_mask: 0.6808, decode.d0.loss_dice: 1.0191, decode.d1.loss_cls: 0.5524, decode.d1.loss_mask: 0.6649, decode.d1.loss_dice: 0.9669, decode.d2.loss_cls: 0.5095, decode.d2.loss_mask: 0.6486, decode.d2.loss_dice: 0.9077, decode.d3.loss_cls: 0.4894, decode.d3.loss_mask: 0.6420, decode.d3.loss_dice: 0.8952, decode.d4.loss_cls: 0.4854, decode.d4.loss_mask: 0.6358, decode.d4.loss_dice: 0.8926, decode.d5.loss_cls: 0.4773, decode.d5.loss_mask: 0.6379, decode.d5.loss_dice: 0.8893, decode.d6.loss_cls: 0.4711, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.8835, decode.d7.loss_cls: 0.4777, decode.d7.loss_mask: 0.6365, decode.d7.loss_dice: 0.8845, decode.d8.loss_cls: 0.4694, decode.d8.loss_mask: 0.6385, decode.d8.loss_dice: 0.8824, loss: 21.4622 2022-05-01 00:00:50,007 - mmseg - INFO - Iter [15050/80000] lr: 1.166e-06, eta: 1 day, 11:38:54, time: 1.946, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4739, decode.loss_mask: 0.6369, decode.loss_dice: 0.9182, decode.d0.loss_cls: 1.5555, decode.d0.loss_mask: 0.6842, decode.d0.loss_dice: 1.0453, decode.d1.loss_cls: 0.5691, decode.d1.loss_mask: 0.6634, decode.d1.loss_dice: 0.9963, decode.d2.loss_cls: 0.5178, decode.d2.loss_mask: 0.6450, decode.d2.loss_dice: 0.9498, decode.d3.loss_cls: 0.4950, decode.d3.loss_mask: 0.6434, decode.d3.loss_dice: 0.9276, decode.d4.loss_cls: 0.4857, decode.d4.loss_mask: 0.6375, decode.d4.loss_dice: 0.9296, decode.d5.loss_cls: 0.4788, decode.d5.loss_mask: 0.6368, decode.d5.loss_dice: 0.9286, decode.d6.loss_cls: 0.4740, decode.d6.loss_mask: 0.6360, decode.d6.loss_dice: 0.9153, decode.d7.loss_cls: 0.4762, decode.d7.loss_mask: 0.6361, decode.d7.loss_dice: 0.9161, decode.d8.loss_cls: 0.4761, decode.d8.loss_mask: 0.6373, decode.d8.loss_dice: 0.9159, loss: 21.9011 2022-05-01 00:02:23,920 - mmseg - INFO - Iter [15100/80000] lr: 1.165e-06, eta: 1 day, 11:36:55, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4794, decode.loss_mask: 0.6283, decode.loss_dice: 0.8959, decode.d0.loss_cls: 1.5128, decode.d0.loss_mask: 0.6667, decode.d0.loss_dice: 1.0190, decode.d1.loss_cls: 0.5677, decode.d1.loss_mask: 0.6525, decode.d1.loss_dice: 0.9645, decode.d2.loss_cls: 0.5216, decode.d2.loss_mask: 0.6383, decode.d2.loss_dice: 0.9232, decode.d3.loss_cls: 0.5021, decode.d3.loss_mask: 0.6351, decode.d3.loss_dice: 0.9083, decode.d4.loss_cls: 0.4872, decode.d4.loss_mask: 0.6328, decode.d4.loss_dice: 0.9106, decode.d5.loss_cls: 0.4911, decode.d5.loss_mask: 0.6303, decode.d5.loss_dice: 0.9069, decode.d6.loss_cls: 0.4824, decode.d6.loss_mask: 0.6250, decode.d6.loss_dice: 0.8900, decode.d7.loss_cls: 0.4797, decode.d7.loss_mask: 0.6268, decode.d7.loss_dice: 0.8965, decode.d8.loss_cls: 0.4794, decode.d8.loss_mask: 0.6288, decode.d8.loss_dice: 0.8995, loss: 21.5825 2022-05-01 00:03:58,182 - mmseg - INFO - Iter [15150/80000] lr: 1.164e-06, eta: 1 day, 11:34:56, time: 1.885, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4748, decode.loss_mask: 0.6193, decode.loss_dice: 0.9130, decode.d0.loss_cls: 1.5266, decode.d0.loss_mask: 0.6624, decode.d0.loss_dice: 1.0372, decode.d1.loss_cls: 0.5610, decode.d1.loss_mask: 0.6510, decode.d1.loss_dice: 0.9905, decode.d2.loss_cls: 0.5098, decode.d2.loss_mask: 0.6349, decode.d2.loss_dice: 0.9557, decode.d3.loss_cls: 0.4899, decode.d3.loss_mask: 0.6282, decode.d3.loss_dice: 0.9356, decode.d4.loss_cls: 0.4830, decode.d4.loss_mask: 0.6267, decode.d4.loss_dice: 0.9298, decode.d5.loss_cls: 0.4812, decode.d5.loss_mask: 0.6226, decode.d5.loss_dice: 0.9301, decode.d6.loss_cls: 0.4766, decode.d6.loss_mask: 0.6187, decode.d6.loss_dice: 0.9174, decode.d7.loss_cls: 0.4753, decode.d7.loss_mask: 0.6190, decode.d7.loss_dice: 0.9230, decode.d8.loss_cls: 0.4698, decode.d8.loss_mask: 0.6264, decode.d8.loss_dice: 0.9111, loss: 21.7011 2022-05-01 00:05:34,068 - mmseg - INFO - Iter [15200/80000] lr: 1.163e-06, eta: 1 day, 11:33:05, time: 1.918, data_time: 0.063, memory: 64716, decode.loss_cls: 0.4312, decode.loss_mask: 0.6275, decode.loss_dice: 0.8687, decode.d0.loss_cls: 1.4541, decode.d0.loss_mask: 0.6662, decode.d0.loss_dice: 0.9897, decode.d1.loss_cls: 0.5156, decode.d1.loss_mask: 0.6538, decode.d1.loss_dice: 0.9466, decode.d2.loss_cls: 0.4639, decode.d2.loss_mask: 0.6388, decode.d2.loss_dice: 0.8977, decode.d3.loss_cls: 0.4420, decode.d3.loss_mask: 0.6315, decode.d3.loss_dice: 0.8904, decode.d4.loss_cls: 0.4329, decode.d4.loss_mask: 0.6329, decode.d4.loss_dice: 0.8859, decode.d5.loss_cls: 0.4229, decode.d5.loss_mask: 0.6328, decode.d5.loss_dice: 0.8847, decode.d6.loss_cls: 0.4205, decode.d6.loss_mask: 0.6292, decode.d6.loss_dice: 0.8722, decode.d7.loss_cls: 0.4237, decode.d7.loss_mask: 0.6285, decode.d7.loss_dice: 0.8705, decode.d8.loss_cls: 0.4263, decode.d8.loss_mask: 0.6264, decode.d8.loss_dice: 0.8694, loss: 20.7765 2022-05-01 00:07:07,672 - mmseg - INFO - Iter [15250/80000] lr: 1.162e-06, eta: 1 day, 11:31:05, time: 1.872, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4538, decode.loss_mask: 0.5897, decode.loss_dice: 0.8649, decode.d0.loss_cls: 1.5187, decode.d0.loss_mask: 0.6392, decode.d0.loss_dice: 0.9947, decode.d1.loss_cls: 0.5394, decode.d1.loss_mask: 0.6164, decode.d1.loss_dice: 0.9395, decode.d2.loss_cls: 0.4885, decode.d2.loss_mask: 0.6017, decode.d2.loss_dice: 0.9079, decode.d3.loss_cls: 0.4737, decode.d3.loss_mask: 0.5901, decode.d3.loss_dice: 0.8759, decode.d4.loss_cls: 0.4650, decode.d4.loss_mask: 0.5944, decode.d4.loss_dice: 0.8784, decode.d5.loss_cls: 0.4561, decode.d5.loss_mask: 0.5913, decode.d5.loss_dice: 0.8768, decode.d6.loss_cls: 0.4607, decode.d6.loss_mask: 0.5853, decode.d6.loss_dice: 0.8582, decode.d7.loss_cls: 0.4560, decode.d7.loss_mask: 0.5844, decode.d7.loss_dice: 0.8704, decode.d8.loss_cls: 0.4612, decode.d8.loss_mask: 0.5861, decode.d8.loss_dice: 0.8662, loss: 20.6846 2022-05-01 00:08:44,082 - mmseg - INFO - Iter [15300/80000] lr: 1.161e-06, eta: 1 day, 11:29:16, time: 1.928, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4654, decode.loss_mask: 0.6027, decode.loss_dice: 0.8544, decode.d0.loss_cls: 1.5376, decode.d0.loss_mask: 0.6596, decode.d0.loss_dice: 0.9809, decode.d1.loss_cls: 0.5678, decode.d1.loss_mask: 0.6297, decode.d1.loss_dice: 0.9110, decode.d2.loss_cls: 0.4958, decode.d2.loss_mask: 0.6213, decode.d2.loss_dice: 0.8913, decode.d3.loss_cls: 0.4806, decode.d3.loss_mask: 0.6102, decode.d3.loss_dice: 0.8706, decode.d4.loss_cls: 0.4759, decode.d4.loss_mask: 0.6103, decode.d4.loss_dice: 0.8666, decode.d5.loss_cls: 0.4796, decode.d5.loss_mask: 0.6067, decode.d5.loss_dice: 0.8564, decode.d6.loss_cls: 0.4690, decode.d6.loss_mask: 0.6043, decode.d6.loss_dice: 0.8493, decode.d7.loss_cls: 0.4692, decode.d7.loss_mask: 0.6051, decode.d7.loss_dice: 0.8524, decode.d8.loss_cls: 0.4667, decode.d8.loss_mask: 0.6045, decode.d8.loss_dice: 0.8563, loss: 20.8512 2022-05-01 00:10:18,499 - mmseg - INFO - Iter [15350/80000] lr: 1.160e-06, eta: 1 day, 11:27:19, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4554, decode.loss_mask: 0.5963, decode.loss_dice: 0.8801, decode.d0.loss_cls: 1.5401, decode.d0.loss_mask: 0.6416, decode.d0.loss_dice: 1.0186, decode.d1.loss_cls: 0.5609, decode.d1.loss_mask: 0.6272, decode.d1.loss_dice: 0.9529, decode.d2.loss_cls: 0.5083, decode.d2.loss_mask: 0.6093, decode.d2.loss_dice: 0.9061, decode.d3.loss_cls: 0.4776, decode.d3.loss_mask: 0.6027, decode.d3.loss_dice: 0.8906, decode.d4.loss_cls: 0.4735, decode.d4.loss_mask: 0.6015, decode.d4.loss_dice: 0.8911, decode.d5.loss_cls: 0.4662, decode.d5.loss_mask: 0.6034, decode.d5.loss_dice: 0.8905, decode.d6.loss_cls: 0.4634, decode.d6.loss_mask: 0.5945, decode.d6.loss_dice: 0.8764, decode.d7.loss_cls: 0.4597, decode.d7.loss_mask: 0.5936, decode.d7.loss_dice: 0.8730, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.5937, decode.d8.loss_dice: 0.8808, loss: 20.9892 2022-05-01 00:11:51,159 - mmseg - INFO - Iter [15400/80000] lr: 1.159e-06, eta: 1 day, 11:25:15, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4421, decode.loss_mask: 0.6235, decode.loss_dice: 0.8563, decode.d0.loss_cls: 1.4567, decode.d0.loss_mask: 0.6749, decode.d0.loss_dice: 0.9840, decode.d1.loss_cls: 0.5337, decode.d1.loss_mask: 0.6538, decode.d1.loss_dice: 0.9193, decode.d2.loss_cls: 0.4866, decode.d2.loss_mask: 0.6370, decode.d2.loss_dice: 0.8819, decode.d3.loss_cls: 0.4640, decode.d3.loss_mask: 0.6295, decode.d3.loss_dice: 0.8689, decode.d4.loss_cls: 0.4556, decode.d4.loss_mask: 0.6303, decode.d4.loss_dice: 0.8646, decode.d5.loss_cls: 0.4489, decode.d5.loss_mask: 0.6268, decode.d5.loss_dice: 0.8604, decode.d6.loss_cls: 0.4479, decode.d6.loss_mask: 0.6223, decode.d6.loss_dice: 0.8497, decode.d7.loss_cls: 0.4410, decode.d7.loss_mask: 0.6227, decode.d7.loss_dice: 0.8537, decode.d8.loss_cls: 0.4439, decode.d8.loss_mask: 0.6212, decode.d8.loss_dice: 0.8534, loss: 20.7548 2022-05-01 00:13:26,274 - mmseg - INFO - Iter [15450/80000] lr: 1.159e-06, eta: 1 day, 11:23:22, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4908, decode.loss_mask: 0.5867, decode.loss_dice: 0.8488, decode.d0.loss_cls: 1.5563, decode.d0.loss_mask: 0.6361, decode.d0.loss_dice: 0.9970, decode.d1.loss_cls: 0.5901, decode.d1.loss_mask: 0.6124, decode.d1.loss_dice: 0.9301, decode.d2.loss_cls: 0.5294, decode.d2.loss_mask: 0.5924, decode.d2.loss_dice: 0.8786, decode.d3.loss_cls: 0.5105, decode.d3.loss_mask: 0.5882, decode.d3.loss_dice: 0.8642, decode.d4.loss_cls: 0.5022, decode.d4.loss_mask: 0.5883, decode.d4.loss_dice: 0.8625, decode.d5.loss_cls: 0.4953, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8577, decode.d6.loss_cls: 0.4890, decode.d6.loss_mask: 0.5887, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.4866, decode.d7.loss_mask: 0.5872, decode.d7.loss_dice: 0.8472, decode.d8.loss_cls: 0.4896, decode.d8.loss_mask: 0.5869, decode.d8.loss_dice: 0.8467, loss: 20.8746 2022-05-01 00:15:00,901 - mmseg - INFO - Iter [15500/80000] lr: 1.158e-06, eta: 1 day, 11:21:26, time: 1.893, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4886, decode.loss_mask: 0.6421, decode.loss_dice: 0.9147, decode.d0.loss_cls: 1.5482, decode.d0.loss_mask: 0.6968, decode.d0.loss_dice: 1.0588, decode.d1.loss_cls: 0.5748, decode.d1.loss_mask: 0.6711, decode.d1.loss_dice: 0.9839, decode.d2.loss_cls: 0.5237, decode.d2.loss_mask: 0.6543, decode.d2.loss_dice: 0.9526, decode.d3.loss_cls: 0.5012, decode.d3.loss_mask: 0.6506, decode.d3.loss_dice: 0.9273, decode.d4.loss_cls: 0.4921, decode.d4.loss_mask: 0.6451, decode.d4.loss_dice: 0.9273, decode.d5.loss_cls: 0.4851, decode.d5.loss_mask: 0.6436, decode.d5.loss_dice: 0.9303, decode.d6.loss_cls: 0.4909, decode.d6.loss_mask: 0.6384, decode.d6.loss_dice: 0.9170, decode.d7.loss_cls: 0.4857, decode.d7.loss_mask: 0.6381, decode.d7.loss_dice: 0.9253, decode.d8.loss_cls: 0.4880, decode.d8.loss_mask: 0.6384, decode.d8.loss_dice: 0.9166, loss: 22.0506 2022-05-01 00:16:36,503 - mmseg - INFO - Iter [15550/80000] lr: 1.157e-06, eta: 1 day, 11:19:35, time: 1.911, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4696, decode.loss_mask: 0.5977, decode.loss_dice: 0.8737, decode.d0.loss_cls: 1.5537, decode.d0.loss_mask: 0.6468, decode.d0.loss_dice: 0.9970, decode.d1.loss_cls: 0.5637, decode.d1.loss_mask: 0.6219, decode.d1.loss_dice: 0.9385, decode.d2.loss_cls: 0.5215, decode.d2.loss_mask: 0.6038, decode.d2.loss_dice: 0.9085, decode.d3.loss_cls: 0.4983, decode.d3.loss_mask: 0.5968, decode.d3.loss_dice: 0.8836, decode.d4.loss_cls: 0.4893, decode.d4.loss_mask: 0.5952, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.4818, decode.d5.loss_mask: 0.5959, decode.d5.loss_dice: 0.8826, decode.d6.loss_cls: 0.4799, decode.d6.loss_mask: 0.5942, decode.d6.loss_dice: 0.8715, decode.d7.loss_cls: 0.4740, decode.d7.loss_mask: 0.5926, decode.d7.loss_dice: 0.8728, decode.d8.loss_cls: 0.4716, decode.d8.loss_mask: 0.5966, decode.d8.loss_dice: 0.8728, loss: 21.0306 2022-05-01 00:18:09,033 - mmseg - INFO - Iter [15600/80000] lr: 1.156e-06, eta: 1 day, 11:17:31, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4520, decode.loss_mask: 0.6337, decode.loss_dice: 0.8727, decode.d0.loss_cls: 1.4875, decode.d0.loss_mask: 0.6792, decode.d0.loss_dice: 1.0054, decode.d1.loss_cls: 0.5319, decode.d1.loss_mask: 0.6681, decode.d1.loss_dice: 0.9517, decode.d2.loss_cls: 0.4839, decode.d2.loss_mask: 0.6509, decode.d2.loss_dice: 0.9059, decode.d3.loss_cls: 0.4678, decode.d3.loss_mask: 0.6347, decode.d3.loss_dice: 0.8845, decode.d4.loss_cls: 0.4637, decode.d4.loss_mask: 0.6410, decode.d4.loss_dice: 0.8803, decode.d5.loss_cls: 0.4595, decode.d5.loss_mask: 0.6359, decode.d5.loss_dice: 0.8841, decode.d6.loss_cls: 0.4541, decode.d6.loss_mask: 0.6327, decode.d6.loss_dice: 0.8754, decode.d7.loss_cls: 0.4497, decode.d7.loss_mask: 0.6338, decode.d7.loss_dice: 0.8811, decode.d8.loss_cls: 0.4545, decode.d8.loss_mask: 0.6325, decode.d8.loss_dice: 0.8741, loss: 21.1623 2022-05-01 00:19:41,303 - mmseg - INFO - Iter [15650/80000] lr: 1.155e-06, eta: 1 day, 11:15:26, time: 1.846, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4548, decode.loss_mask: 0.6314, decode.loss_dice: 0.8841, decode.d0.loss_cls: 1.5125, decode.d0.loss_mask: 0.6734, decode.d0.loss_dice: 1.0121, decode.d1.loss_cls: 0.5487, decode.d1.loss_mask: 0.6622, decode.d1.loss_dice: 0.9625, decode.d2.loss_cls: 0.5022, decode.d2.loss_mask: 0.6361, decode.d2.loss_dice: 0.9190, decode.d3.loss_cls: 0.4769, decode.d3.loss_mask: 0.6338, decode.d3.loss_dice: 0.9022, decode.d4.loss_cls: 0.4783, decode.d4.loss_mask: 0.6288, decode.d4.loss_dice: 0.8895, decode.d5.loss_cls: 0.4688, decode.d5.loss_mask: 0.6296, decode.d5.loss_dice: 0.8892, decode.d6.loss_cls: 0.4593, decode.d6.loss_mask: 0.6278, decode.d6.loss_dice: 0.8832, decode.d7.loss_cls: 0.4590, decode.d7.loss_mask: 0.6306, decode.d7.loss_dice: 0.8847, decode.d8.loss_cls: 0.4526, decode.d8.loss_mask: 0.6303, decode.d8.loss_dice: 0.8840, loss: 21.3075 2022-05-01 00:21:13,487 - mmseg - INFO - Iter [15700/80000] lr: 1.154e-06, eta: 1 day, 11:13:21, time: 1.844, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4647, decode.loss_mask: 0.6023, decode.loss_dice: 0.8646, decode.d0.loss_cls: 1.5310, decode.d0.loss_mask: 0.6502, decode.d0.loss_dice: 1.0053, decode.d1.loss_cls: 0.5611, decode.d1.loss_mask: 0.6378, decode.d1.loss_dice: 0.9399, decode.d2.loss_cls: 0.5038, decode.d2.loss_mask: 0.6163, decode.d2.loss_dice: 0.8999, decode.d3.loss_cls: 0.4870, decode.d3.loss_mask: 0.6084, decode.d3.loss_dice: 0.8864, decode.d4.loss_cls: 0.4724, decode.d4.loss_mask: 0.6081, decode.d4.loss_dice: 0.8811, decode.d5.loss_cls: 0.4667, decode.d5.loss_mask: 0.6039, decode.d5.loss_dice: 0.8762, decode.d6.loss_cls: 0.4636, decode.d6.loss_mask: 0.6056, decode.d6.loss_dice: 0.8666, decode.d7.loss_cls: 0.4621, decode.d7.loss_mask: 0.6036, decode.d7.loss_dice: 0.8662, decode.d8.loss_cls: 0.4649, decode.d8.loss_mask: 0.6035, decode.d8.loss_dice: 0.8668, loss: 20.9700 2022-05-01 00:22:46,167 - mmseg - INFO - Iter [15750/80000] lr: 1.153e-06, eta: 1 day, 11:11:18, time: 1.853, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4736, decode.loss_mask: 0.6338, decode.loss_dice: 0.9068, decode.d0.loss_cls: 1.5352, decode.d0.loss_mask: 0.6919, decode.d0.loss_dice: 1.0529, decode.d1.loss_cls: 0.5690, decode.d1.loss_mask: 0.6619, decode.d1.loss_dice: 0.9928, decode.d2.loss_cls: 0.5159, decode.d2.loss_mask: 0.6505, decode.d2.loss_dice: 0.9442, decode.d3.loss_cls: 0.4950, decode.d3.loss_mask: 0.6407, decode.d3.loss_dice: 0.9252, decode.d4.loss_cls: 0.4884, decode.d4.loss_mask: 0.6395, decode.d4.loss_dice: 0.9209, decode.d5.loss_cls: 0.4802, decode.d5.loss_mask: 0.6362, decode.d5.loss_dice: 0.9117, decode.d6.loss_cls: 0.4799, decode.d6.loss_mask: 0.6313, decode.d6.loss_dice: 0.9060, decode.d7.loss_cls: 0.4797, decode.d7.loss_mask: 0.6336, decode.d7.loss_dice: 0.9114, decode.d8.loss_cls: 0.4731, decode.d8.loss_mask: 0.6328, decode.d8.loss_dice: 0.9053, loss: 21.8192 2022-05-01 00:24:20,341 - mmseg - INFO - Iter [15800/80000] lr: 1.152e-06, eta: 1 day, 11:09:21, time: 1.883, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4751, decode.loss_mask: 0.6156, decode.loss_dice: 0.8743, decode.d0.loss_cls: 1.5068, decode.d0.loss_mask: 0.6610, decode.d0.loss_dice: 1.0210, decode.d1.loss_cls: 0.5513, decode.d1.loss_mask: 0.6453, decode.d1.loss_dice: 0.9379, decode.d2.loss_cls: 0.5219, decode.d2.loss_mask: 0.6255, decode.d2.loss_dice: 0.9112, decode.d3.loss_cls: 0.5008, decode.d3.loss_mask: 0.6159, decode.d3.loss_dice: 0.8892, decode.d4.loss_cls: 0.4916, decode.d4.loss_mask: 0.6140, decode.d4.loss_dice: 0.8908, decode.d5.loss_cls: 0.4903, decode.d5.loss_mask: 0.6124, decode.d5.loss_dice: 0.8801, decode.d6.loss_cls: 0.4788, decode.d6.loss_mask: 0.6154, decode.d6.loss_dice: 0.8749, decode.d7.loss_cls: 0.4872, decode.d7.loss_mask: 0.6125, decode.d7.loss_dice: 0.8776, decode.d8.loss_cls: 0.4801, decode.d8.loss_mask: 0.6135, decode.d8.loss_dice: 0.8783, loss: 21.2504 2022-05-01 00:25:52,783 - mmseg - INFO - Iter [15850/80000] lr: 1.151e-06, eta: 1 day, 11:07:18, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4637, decode.loss_mask: 0.6203, decode.loss_dice: 0.8735, decode.d0.loss_cls: 1.4662, decode.d0.loss_mask: 0.6749, decode.d0.loss_dice: 1.0115, decode.d1.loss_cls: 0.5518, decode.d1.loss_mask: 0.6603, decode.d1.loss_dice: 0.9504, decode.d2.loss_cls: 0.5083, decode.d2.loss_mask: 0.6367, decode.d2.loss_dice: 0.9122, decode.d3.loss_cls: 0.4817, decode.d3.loss_mask: 0.6243, decode.d3.loss_dice: 0.8879, decode.d4.loss_cls: 0.4659, decode.d4.loss_mask: 0.6286, decode.d4.loss_dice: 0.8910, decode.d5.loss_cls: 0.4713, decode.d5.loss_mask: 0.6183, decode.d5.loss_dice: 0.8818, decode.d6.loss_cls: 0.4648, decode.d6.loss_mask: 0.6190, decode.d6.loss_dice: 0.8765, decode.d7.loss_cls: 0.4644, decode.d7.loss_mask: 0.6223, decode.d7.loss_dice: 0.8750, decode.d8.loss_cls: 0.4628, decode.d8.loss_mask: 0.6215, decode.d8.loss_dice: 0.8751, loss: 21.1616 2022-05-01 00:27:25,654 - mmseg - INFO - Iter [15900/80000] lr: 1.150e-06, eta: 1 day, 11:05:17, time: 1.857, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4704, decode.loss_mask: 0.5964, decode.loss_dice: 0.8800, decode.d0.loss_cls: 1.5372, decode.d0.loss_mask: 0.6496, decode.d0.loss_dice: 1.0198, decode.d1.loss_cls: 0.5726, decode.d1.loss_mask: 0.6237, decode.d1.loss_dice: 0.9556, decode.d2.loss_cls: 0.5166, decode.d2.loss_mask: 0.6077, decode.d2.loss_dice: 0.9086, decode.d3.loss_cls: 0.4941, decode.d3.loss_mask: 0.6032, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.4844, decode.d4.loss_mask: 0.6020, decode.d4.loss_dice: 0.8927, decode.d5.loss_cls: 0.4847, decode.d5.loss_mask: 0.6009, decode.d5.loss_dice: 0.8865, decode.d6.loss_cls: 0.4769, decode.d6.loss_mask: 0.5970, decode.d6.loss_dice: 0.8785, decode.d7.loss_cls: 0.4761, decode.d7.loss_mask: 0.5954, decode.d7.loss_dice: 0.8813, decode.d8.loss_cls: 0.4760, decode.d8.loss_mask: 0.5956, decode.d8.loss_dice: 0.8779, loss: 21.1326 2022-05-01 00:28:58,660 - mmseg - INFO - Iter [15950/80000] lr: 1.150e-06, eta: 1 day, 11:03:16, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4709, decode.loss_mask: 0.6155, decode.loss_dice: 0.8897, decode.d0.loss_cls: 1.5214, decode.d0.loss_mask: 0.6594, decode.d0.loss_dice: 1.0047, decode.d1.loss_cls: 0.5677, decode.d1.loss_mask: 0.6368, decode.d1.loss_dice: 0.9565, decode.d2.loss_cls: 0.5167, decode.d2.loss_mask: 0.6248, decode.d2.loss_dice: 0.9169, decode.d3.loss_cls: 0.5030, decode.d3.loss_mask: 0.6158, decode.d3.loss_dice: 0.8949, decode.d4.loss_cls: 0.4898, decode.d4.loss_mask: 0.6144, decode.d4.loss_dice: 0.8881, decode.d5.loss_cls: 0.4914, decode.d5.loss_mask: 0.6157, decode.d5.loss_dice: 0.8915, decode.d6.loss_cls: 0.4800, decode.d6.loss_mask: 0.6117, decode.d6.loss_dice: 0.8851, decode.d7.loss_cls: 0.4797, decode.d7.loss_mask: 0.6147, decode.d7.loss_dice: 0.8880, decode.d8.loss_cls: 0.4771, decode.d8.loss_mask: 0.6123, decode.d8.loss_dice: 0.8881, loss: 21.3224 2022-05-01 00:30:32,120 - mmseg - INFO - Saving checkpoint at 16000 iterations 2022-05-01 00:30:50,629 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 00:30:50,638 - mmseg - INFO - Iter [16000/80000] lr: 1.149e-06, eta: 1 day, 11:02:31, time: 2.239, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4441, decode.loss_mask: 0.6203, decode.loss_dice: 0.9001, decode.d0.loss_cls: 1.5233, decode.d0.loss_mask: 0.6657, decode.d0.loss_dice: 1.0290, decode.d1.loss_cls: 0.5551, decode.d1.loss_mask: 0.6445, decode.d1.loss_dice: 0.9656, decode.d2.loss_cls: 0.4930, decode.d2.loss_mask: 0.6319, decode.d2.loss_dice: 0.9306, decode.d3.loss_cls: 0.4728, decode.d3.loss_mask: 0.6194, decode.d3.loss_dice: 0.9145, decode.d4.loss_cls: 0.4642, decode.d4.loss_mask: 0.6203, decode.d4.loss_dice: 0.9144, decode.d5.loss_cls: 0.4550, decode.d5.loss_mask: 0.6220, decode.d5.loss_dice: 0.9115, decode.d6.loss_cls: 0.4543, decode.d6.loss_mask: 0.6174, decode.d6.loss_dice: 0.9001, decode.d7.loss_cls: 0.4484, decode.d7.loss_mask: 0.6190, decode.d7.loss_dice: 0.9085, decode.d8.loss_cls: 0.4437, decode.d8.loss_mask: 0.6215, decode.d8.loss_dice: 0.9059, loss: 21.3160 2022-05-01 00:32:52,653 - mmseg - INFO - per class results: 2022-05-01 00:32:52,663 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.06 | 88.86 | | building | 84.1 | 90.39 | | sky | 95.25 | 97.48 | | floor | 84.94 | 89.38 | | tree | 79.04 | 91.18 | | ceiling | 87.94 | 93.74 | | road | 85.02 | 90.11 | | bed | 91.99 | 97.0 | | windowpane | 66.8 | 79.43 | | grass | 69.96 | 92.37 | | cabinet | 62.5 | 72.38 | | sidewalk | 70.13 | 85.93 | | person | 87.48 | 93.67 | | earth | 37.94 | 48.35 | | door | 56.64 | 72.31 | | table | 68.56 | 81.54 | | mountain | 65.87 | 73.91 | | plant | 56.93 | 67.96 | | curtain | 80.2 | 91.11 | | chair | 66.27 | 76.58 | | car | 88.74 | 94.69 | | water | 64.35 | 86.08 | | painting | 75.79 | 93.43 | | sofa | 77.7 | 93.35 | | shelf | 48.1 | 61.43 | | house | 50.05 | 78.81 | | sea | 74.45 | 81.82 | | mirror | 75.67 | 89.85 | | rug | 75.25 | 85.86 | | field | 33.28 | 48.53 | | armchair | 48.03 | 61.56 | | seat | 67.57 | 91.06 | | fence | 52.57 | 71.77 | | desk | 54.08 | 85.05 | | rock | 65.85 | 88.76 | | wardrobe | 57.66 | 70.78 | | lamp | 76.16 | 88.77 | | bathtub | 92.72 | 95.5 | | railing | 42.03 | 62.35 | | cushion | 71.86 | 83.6 | | base | 31.31 | 80.24 | | box | 39.22 | 50.92 | | column | 52.36 | 72.12 | | signboard | 43.37 | 63.47 | | chest of drawers | 34.08 | 80.58 | | counter | 50.75 | 66.82 | | sand | 62.96 | 90.08 | | sink | 75.54 | 85.61 | | skyscraper | 47.42 | 58.87 | | fireplace | 73.43 | 95.49 | | refrigerator | 83.06 | 89.94 | | grandstand | 45.86 | 80.63 | | path | 24.3 | 32.4 | | stairs | 35.25 | 42.06 | | runway | 73.95 | 93.52 | | case | 68.75 | 80.26 | | pool table | 95.71 | 98.59 | | pillow | 68.16 | 81.4 | | screen door | 80.28 | 84.55 | | stairway | 55.38 | 80.57 | | river | 18.01 | 21.77 | | bridge | 56.83 | 68.86 | | bookcase | 34.17 | 54.21 | | blind | 51.44 | 65.41 | | coffee table | 66.5 | 84.74 | | toilet | 91.07 | 94.66 | | flower | 41.51 | 57.71 | | book | 55.67 | 76.93 | | hill | 15.62 | 29.69 | | bench | 55.02 | 65.41 | | countertop | 63.94 | 83.0 | | stove | 84.48 | 90.42 | | palm | 60.13 | 77.27 | | kitchen island | 52.51 | 88.49 | | computer | 79.21 | 90.08 | | swivel chair | 49.39 | 73.15 | | boat | 50.87 | 92.3 | | bar | 57.07 | 61.81 | | arcade machine | 77.51 | 83.96 | | hovel | 10.97 | 11.84 | | bus | 91.14 | 95.08 | | towel | 75.86 | 89.57 | | light | 66.04 | 76.03 | | truck | 47.07 | 61.14 | | tower | 28.5 | 53.12 | | chandelier | 76.11 | 89.34 | | awning | 35.29 | 53.19 | | streetlight | 46.2 | 69.26 | | booth | 39.79 | 50.11 | | television receiver | 75.61 | 94.69 | | airplane | 71.03 | 75.6 | | dirt track | 30.25 | 33.21 | | apparel | 49.69 | 87.72 | | pole | 33.44 | 60.26 | | land | 0.0 | 0.0 | | bannister | 19.71 | 33.06 | | escalator | 63.29 | 79.37 | | ottoman | 53.98 | 82.69 | | bottle | 33.52 | 43.24 | | buffet | 46.79 | 59.62 | | poster | 32.18 | 39.51 | | stage | 16.4 | 43.02 | | van | 47.24 | 72.19 | | ship | 75.95 | 78.21 | | fountain | 52.62 | 54.06 | | conveyer belt | 65.94 | 92.2 | | canopy | 74.75 | 87.46 | | washer | 90.73 | 96.05 | | plaything | 48.81 | 78.99 | | swimming pool | 54.51 | 89.31 | | stool | 58.85 | 76.03 | | barrel | 63.96 | 96.96 | | basket | 42.17 | 60.27 | | waterfall | 63.93 | 82.85 | | tent | 91.87 | 96.93 | | bag | 30.96 | 45.43 | | minibike | 75.53 | 92.5 | | cradle | 91.11 | 97.53 | | oven | 53.58 | 63.13 | | ball | 64.57 | 76.6 | | food | 71.37 | 84.44 | | step | 14.3 | 17.42 | | tank | 39.81 | 45.37 | | trade name | 34.18 | 46.75 | | microwave | 86.19 | 96.7 | | pot | 58.6 | 71.07 | | animal | 82.31 | 85.24 | | bicycle | 67.22 | 85.95 | | lake | 0.0 | 0.0 | | dishwasher | 67.09 | 85.05 | | screen | 62.78 | 94.15 | | blanket | 26.52 | 41.88 | | sculpture | 56.81 | 92.08 | | hood | 63.17 | 77.82 | | sconce | 61.52 | 78.6 | | vase | 52.84 | 78.59 | | traffic light | 49.44 | 73.47 | | tray | 27.77 | 41.1 | | ashcan | 48.6 | 80.36 | | fan | 68.58 | 86.34 | | pier | 39.37 | 49.31 | | crt screen | 1.09 | 3.09 | | plate | 68.86 | 85.77 | | monitor | 11.38 | 13.52 | | bulletin board | 64.29 | 75.04 | | shower | 18.98 | 24.22 | | radiator | 69.7 | 91.21 | | glass | 27.37 | 31.85 | | clock | 52.69 | 64.02 | | flag | 53.37 | 60.27 | +---------------------+-------+-------+ 2022-05-01 00:32:52,663 - mmseg - INFO - Summary: 2022-05-01 00:32:52,663 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 85.95 | 57.4 | 72.22 | +-------+------+-------+ 2022-05-01 00:32:52,685 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_8000.pth was removed 2022-05-01 00:33:21,669 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2022-05-01 00:33:21,688 - mmseg - INFO - Best mIoU is 0.5740 at 16000 iter. 2022-05-01 00:33:21,719 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 00:33:21,720 - mmseg - INFO - Iter(val) [125] aAcc: 0.8595, mIoU: 0.5740, mAcc: 0.7222, IoU.wall: 0.8206, IoU.building: 0.8410, IoU.sky: 0.9525, IoU.floor: 0.8494, IoU.tree: 0.7904, IoU.ceiling: 0.8794, IoU.road: 0.8502, IoU.bed : 0.9199, IoU.windowpane: 0.6680, IoU.grass: 0.6996, IoU.cabinet: 0.6250, IoU.sidewalk: 0.7013, IoU.person: 0.8748, IoU.earth: 0.3794, IoU.door: 0.5664, IoU.table: 0.6856, IoU.mountain: 0.6587, IoU.plant: 0.5693, IoU.curtain: 0.8020, IoU.chair: 0.6627, IoU.car: 0.8874, IoU.water: 0.6435, IoU.painting: 0.7579, IoU.sofa: 0.7770, IoU.shelf: 0.4810, IoU.house: 0.5005, IoU.sea: 0.7445, IoU.mirror: 0.7567, IoU.rug: 0.7525, IoU.field: 0.3328, IoU.armchair: 0.4803, IoU.seat: 0.6757, IoU.fence: 0.5257, IoU.desk: 0.5408, IoU.rock: 0.6585, IoU.wardrobe: 0.5766, IoU.lamp: 0.7616, IoU.bathtub: 0.9272, IoU.railing: 0.4203, IoU.cushion: 0.7186, IoU.base: 0.3131, IoU.box: 0.3922, IoU.column: 0.5236, IoU.signboard: 0.4337, IoU.chest of drawers: 0.3408, IoU.counter: 0.5075, IoU.sand: 0.6296, IoU.sink: 0.7554, IoU.skyscraper: 0.4742, IoU.fireplace: 0.7343, IoU.refrigerator: 0.8306, IoU.grandstand: 0.4586, IoU.path: 0.2430, IoU.stairs: 0.3525, IoU.runway: 0.7395, IoU.case: 0.6875, IoU.pool table: 0.9571, IoU.pillow: 0.6816, IoU.screen door: 0.8028, IoU.stairway: 0.5538, IoU.river: 0.1801, IoU.bridge: 0.5683, IoU.bookcase: 0.3417, IoU.blind: 0.5144, IoU.coffee table: 0.6650, IoU.toilet: 0.9107, IoU.flower: 0.4151, IoU.book: 0.5567, IoU.hill: 0.1562, IoU.bench: 0.5502, IoU.countertop: 0.6394, IoU.stove: 0.8448, IoU.palm: 0.6013, IoU.kitchen island: 0.5251, IoU.computer: 0.7921, IoU.swivel chair: 0.4939, IoU.boat: 0.5087, IoU.bar: 0.5707, IoU.arcade machine: 0.7751, IoU.hovel: 0.1097, IoU.bus: 0.9114, IoU.towel: 0.7586, IoU.light: 0.6604, IoU.truck: 0.4707, IoU.tower: 0.2850, IoU.chandelier: 0.7611, IoU.awning: 0.3529, IoU.streetlight: 0.4620, IoU.booth: 0.3979, IoU.television receiver: 0.7561, IoU.airplane: 0.7103, IoU.dirt track: 0.3025, IoU.apparel: 0.4969, IoU.pole: 0.3344, IoU.land: 0.0000, IoU.bannister: 0.1971, IoU.escalator: 0.6329, IoU.ottoman: 0.5398, IoU.bottle: 0.3352, IoU.buffet: 0.4679, IoU.poster: 0.3218, IoU.stage: 0.1640, IoU.van: 0.4724, IoU.ship: 0.7595, IoU.fountain: 0.5262, IoU.conveyer belt: 0.6594, IoU.canopy: 0.7475, IoU.washer: 0.9073, IoU.plaything: 0.4881, IoU.swimming pool: 0.5451, IoU.stool: 0.5885, IoU.barrel: 0.6396, IoU.basket: 0.4217, IoU.waterfall: 0.6393, IoU.tent: 0.9187, IoU.bag: 0.3096, IoU.minibike: 0.7553, IoU.cradle: 0.9111, IoU.oven: 0.5358, IoU.ball: 0.6457, IoU.food: 0.7137, IoU.step: 0.1430, IoU.tank: 0.3981, IoU.trade name: 0.3418, IoU.microwave: 0.8619, IoU.pot: 0.5860, IoU.animal: 0.8231, IoU.bicycle: 0.6722, IoU.lake: 0.0000, IoU.dishwasher: 0.6709, IoU.screen: 0.6278, IoU.blanket: 0.2652, IoU.sculpture: 0.5681, IoU.hood: 0.6317, IoU.sconce: 0.6152, IoU.vase: 0.5284, IoU.traffic light: 0.4944, IoU.tray: 0.2777, IoU.ashcan: 0.4860, IoU.fan: 0.6858, IoU.pier: 0.3937, IoU.crt screen: 0.0109, IoU.plate: 0.6886, IoU.monitor: 0.1138, IoU.bulletin board: 0.6429, IoU.shower: 0.1898, IoU.radiator: 0.6970, IoU.glass: 0.2737, IoU.clock: 0.5269, IoU.flag: 0.5337, Acc.wall: 0.8886, Acc.building: 0.9039, Acc.sky: 0.9748, Acc.floor: 0.8938, Acc.tree: 0.9118, Acc.ceiling: 0.9374, Acc.road: 0.9011, Acc.bed : 0.9700, Acc.windowpane: 0.7943, Acc.grass: 0.9237, Acc.cabinet: 0.7238, Acc.sidewalk: 0.8593, Acc.person: 0.9367, Acc.earth: 0.4835, Acc.door: 0.7231, Acc.table: 0.8154, Acc.mountain: 0.7391, Acc.plant: 0.6796, Acc.curtain: 0.9111, Acc.chair: 0.7658, Acc.car: 0.9469, Acc.water: 0.8608, Acc.painting: 0.9343, Acc.sofa: 0.9335, Acc.shelf: 0.6143, Acc.house: 0.7881, Acc.sea: 0.8182, Acc.mirror: 0.8985, Acc.rug: 0.8586, Acc.field: 0.4853, Acc.armchair: 0.6156, Acc.seat: 0.9106, Acc.fence: 0.7177, Acc.desk: 0.8505, Acc.rock: 0.8876, Acc.wardrobe: 0.7078, Acc.lamp: 0.8877, Acc.bathtub: 0.9550, Acc.railing: 0.6235, Acc.cushion: 0.8360, Acc.base: 0.8024, Acc.box: 0.5092, Acc.column: 0.7212, Acc.signboard: 0.6347, Acc.chest of drawers: 0.8058, Acc.counter: 0.6682, Acc.sand: 0.9008, Acc.sink: 0.8561, Acc.skyscraper: 0.5887, Acc.fireplace: 0.9549, Acc.refrigerator: 0.8994, Acc.grandstand: 0.8063, Acc.path: 0.3240, Acc.stairs: 0.4206, Acc.runway: 0.9352, Acc.case: 0.8026, Acc.pool table: 0.9859, Acc.pillow: 0.8140, Acc.screen door: 0.8455, Acc.stairway: 0.8057, Acc.river: 0.2177, Acc.bridge: 0.6886, Acc.bookcase: 0.5421, Acc.blind: 0.6541, Acc.coffee table: 0.8474, Acc.toilet: 0.9466, Acc.flower: 0.5771, Acc.book: 0.7693, Acc.hill: 0.2969, Acc.bench: 0.6541, Acc.countertop: 0.8300, Acc.stove: 0.9042, Acc.palm: 0.7727, Acc.kitchen island: 0.8849, Acc.computer: 0.9008, Acc.swivel chair: 0.7315, Acc.boat: 0.9230, Acc.bar: 0.6181, Acc.arcade machine: 0.8396, Acc.hovel: 0.1184, Acc.bus: 0.9508, Acc.towel: 0.8957, Acc.light: 0.7603, Acc.truck: 0.6114, Acc.tower: 0.5312, Acc.chandelier: 0.8934, Acc.awning: 0.5319, Acc.streetlight: 0.6926, Acc.booth: 0.5011, Acc.television receiver: 0.9469, Acc.airplane: 0.7560, Acc.dirt track: 0.3321, Acc.apparel: 0.8772, Acc.pole: 0.6026, Acc.land: 0.0000, Acc.bannister: 0.3306, Acc.escalator: 0.7937, Acc.ottoman: 0.8269, Acc.bottle: 0.4324, Acc.buffet: 0.5962, Acc.poster: 0.3951, Acc.stage: 0.4302, Acc.van: 0.7219, Acc.ship: 0.7821, Acc.fountain: 0.5406, Acc.conveyer belt: 0.9220, Acc.canopy: 0.8746, Acc.washer: 0.9605, Acc.plaything: 0.7899, Acc.swimming pool: 0.8931, Acc.stool: 0.7603, Acc.barrel: 0.9696, Acc.basket: 0.6027, Acc.waterfall: 0.8285, Acc.tent: 0.9693, Acc.bag: 0.4543, Acc.minibike: 0.9250, Acc.cradle: 0.9753, Acc.oven: 0.6313, Acc.ball: 0.7660, Acc.food: 0.8444, Acc.step: 0.1742, Acc.tank: 0.4537, Acc.trade name: 0.4675, Acc.microwave: 0.9670, Acc.pot: 0.7107, Acc.animal: 0.8524, Acc.bicycle: 0.8595, Acc.lake: 0.0000, Acc.dishwasher: 0.8505, Acc.screen: 0.9415, Acc.blanket: 0.4188, Acc.sculpture: 0.9208, Acc.hood: 0.7782, Acc.sconce: 0.7860, Acc.vase: 0.7859, Acc.traffic light: 0.7347, Acc.tray: 0.4110, Acc.ashcan: 0.8036, Acc.fan: 0.8634, Acc.pier: 0.4931, Acc.crt screen: 0.0309, Acc.plate: 0.8577, Acc.monitor: 0.1352, Acc.bulletin board: 0.7504, Acc.shower: 0.2422, Acc.radiator: 0.9121, Acc.glass: 0.3185, Acc.clock: 0.6402, Acc.flag: 0.6027 2022-05-01 00:34:55,109 - mmseg - INFO - Iter [16050/80000] lr: 1.148e-06, eta: 1 day, 11:10:34, time: 4.889, data_time: 3.040, memory: 64716, decode.loss_cls: 0.4430, decode.loss_mask: 0.6010, decode.loss_dice: 0.9005, decode.d0.loss_cls: 1.4563, decode.d0.loss_mask: 0.6533, decode.d0.loss_dice: 1.0347, decode.d1.loss_cls: 0.5355, decode.d1.loss_mask: 0.6293, decode.d1.loss_dice: 0.9760, decode.d2.loss_cls: 0.4845, decode.d2.loss_mask: 0.6130, decode.d2.loss_dice: 0.9386, decode.d3.loss_cls: 0.4706, decode.d3.loss_mask: 0.6089, decode.d3.loss_dice: 0.9128, decode.d4.loss_cls: 0.4514, decode.d4.loss_mask: 0.6103, decode.d4.loss_dice: 0.9154, decode.d5.loss_cls: 0.4530, decode.d5.loss_mask: 0.6063, decode.d5.loss_dice: 0.9099, decode.d6.loss_cls: 0.4468, decode.d6.loss_mask: 0.6040, decode.d6.loss_dice: 0.9015, decode.d7.loss_cls: 0.4460, decode.d7.loss_mask: 0.6009, decode.d7.loss_dice: 0.9033, decode.d8.loss_cls: 0.4463, decode.d8.loss_mask: 0.6036, decode.d8.loss_dice: 0.9009, loss: 21.0574 2022-05-01 00:36:27,791 - mmseg - INFO - Iter [16100/80000] lr: 1.147e-06, eta: 1 day, 11:08:30, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4684, decode.loss_mask: 0.6116, decode.loss_dice: 0.8826, decode.d0.loss_cls: 1.5151, decode.d0.loss_mask: 0.6683, decode.d0.loss_dice: 1.0227, decode.d1.loss_cls: 0.5599, decode.d1.loss_mask: 0.6406, decode.d1.loss_dice: 0.9648, decode.d2.loss_cls: 0.5039, decode.d2.loss_mask: 0.6245, decode.d2.loss_dice: 0.9221, decode.d3.loss_cls: 0.4852, decode.d3.loss_mask: 0.6162, decode.d3.loss_dice: 0.8988, decode.d4.loss_cls: 0.4762, decode.d4.loss_mask: 0.6154, decode.d4.loss_dice: 0.9026, decode.d5.loss_cls: 0.4739, decode.d5.loss_mask: 0.6134, decode.d5.loss_dice: 0.8968, decode.d6.loss_cls: 0.4722, decode.d6.loss_mask: 0.6122, decode.d6.loss_dice: 0.8839, decode.d7.loss_cls: 0.4759, decode.d7.loss_mask: 0.6124, decode.d7.loss_dice: 0.8865, decode.d8.loss_cls: 0.4691, decode.d8.loss_mask: 0.6117, decode.d8.loss_dice: 0.8876, loss: 21.2746 2022-05-01 00:37:59,732 - mmseg - INFO - Iter [16150/80000] lr: 1.146e-06, eta: 1 day, 11:06:23, time: 1.839, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4647, decode.loss_mask: 0.6276, decode.loss_dice: 0.8846, decode.d0.loss_cls: 1.5186, decode.d0.loss_mask: 0.6705, decode.d0.loss_dice: 1.0232, decode.d1.loss_cls: 0.5652, decode.d1.loss_mask: 0.6555, decode.d1.loss_dice: 0.9680, decode.d2.loss_cls: 0.5064, decode.d2.loss_mask: 0.6385, decode.d2.loss_dice: 0.9237, decode.d3.loss_cls: 0.4861, decode.d3.loss_mask: 0.6268, decode.d3.loss_dice: 0.9023, decode.d4.loss_cls: 0.4800, decode.d4.loss_mask: 0.6293, decode.d4.loss_dice: 0.9013, decode.d5.loss_cls: 0.4779, decode.d5.loss_mask: 0.6206, decode.d5.loss_dice: 0.8991, decode.d6.loss_cls: 0.4670, decode.d6.loss_mask: 0.6216, decode.d6.loss_dice: 0.8905, decode.d7.loss_cls: 0.4654, decode.d7.loss_mask: 0.6228, decode.d7.loss_dice: 0.8894, decode.d8.loss_cls: 0.4663, decode.d8.loss_mask: 0.6256, decode.d8.loss_dice: 0.8902, loss: 21.4087 2022-05-01 00:39:32,038 - mmseg - INFO - Iter [16200/80000] lr: 1.145e-06, eta: 1 day, 11:04:18, time: 1.846, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4654, decode.loss_mask: 0.6410, decode.loss_dice: 0.8960, decode.d0.loss_cls: 1.5053, decode.d0.loss_mask: 0.6992, decode.d0.loss_dice: 1.0184, decode.d1.loss_cls: 0.5596, decode.d1.loss_mask: 0.6721, decode.d1.loss_dice: 0.9544, decode.d2.loss_cls: 0.5040, decode.d2.loss_mask: 0.6521, decode.d2.loss_dice: 0.9221, decode.d3.loss_cls: 0.4844, decode.d3.loss_mask: 0.6425, decode.d3.loss_dice: 0.9014, decode.d4.loss_cls: 0.4787, decode.d4.loss_mask: 0.6452, decode.d4.loss_dice: 0.8923, decode.d5.loss_cls: 0.4767, decode.d5.loss_mask: 0.6441, decode.d5.loss_dice: 0.8984, decode.d6.loss_cls: 0.4708, decode.d6.loss_mask: 0.6431, decode.d6.loss_dice: 0.8840, decode.d7.loss_cls: 0.4685, decode.d7.loss_mask: 0.6438, decode.d7.loss_dice: 0.8890, decode.d8.loss_cls: 0.4648, decode.d8.loss_mask: 0.6409, decode.d8.loss_dice: 0.8850, loss: 21.5434 2022-05-01 00:41:05,068 - mmseg - INFO - Iter [16250/80000] lr: 1.144e-06, eta: 1 day, 11:02:16, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4658, decode.loss_mask: 0.5836, decode.loss_dice: 0.8523, decode.d0.loss_cls: 1.5280, decode.d0.loss_mask: 0.6292, decode.d0.loss_dice: 0.9850, decode.d1.loss_cls: 0.5582, decode.d1.loss_mask: 0.6091, decode.d1.loss_dice: 0.9214, decode.d2.loss_cls: 0.5053, decode.d2.loss_mask: 0.5951, decode.d2.loss_dice: 0.8759, decode.d3.loss_cls: 0.4880, decode.d3.loss_mask: 0.5814, decode.d3.loss_dice: 0.8534, decode.d4.loss_cls: 0.4824, decode.d4.loss_mask: 0.5810, decode.d4.loss_dice: 0.8636, decode.d5.loss_cls: 0.4774, decode.d5.loss_mask: 0.5787, decode.d5.loss_dice: 0.8597, decode.d6.loss_cls: 0.4682, decode.d6.loss_mask: 0.5777, decode.d6.loss_dice: 0.8504, decode.d7.loss_cls: 0.4650, decode.d7.loss_mask: 0.5841, decode.d7.loss_dice: 0.8542, decode.d8.loss_cls: 0.4653, decode.d8.loss_mask: 0.5821, decode.d8.loss_dice: 0.8530, loss: 20.5744 2022-05-01 00:42:38,979 - mmseg - INFO - Iter [16300/80000] lr: 1.143e-06, eta: 1 day, 11:00:17, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4846, decode.loss_mask: 0.6195, decode.loss_dice: 0.8884, decode.d0.loss_cls: 1.5682, decode.d0.loss_mask: 0.6691, decode.d0.loss_dice: 1.0100, decode.d1.loss_cls: 0.5777, decode.d1.loss_mask: 0.6544, decode.d1.loss_dice: 0.9699, decode.d2.loss_cls: 0.5249, decode.d2.loss_mask: 0.6359, decode.d2.loss_dice: 0.9257, decode.d3.loss_cls: 0.5040, decode.d3.loss_mask: 0.6279, decode.d3.loss_dice: 0.9031, decode.d4.loss_cls: 0.4947, decode.d4.loss_mask: 0.6272, decode.d4.loss_dice: 0.8981, decode.d5.loss_cls: 0.4918, decode.d5.loss_mask: 0.6252, decode.d5.loss_dice: 0.8962, decode.d6.loss_cls: 0.4799, decode.d6.loss_mask: 0.6222, decode.d6.loss_dice: 0.8886, decode.d7.loss_cls: 0.4831, decode.d7.loss_mask: 0.6229, decode.d7.loss_dice: 0.8909, decode.d8.loss_cls: 0.4829, decode.d8.loss_mask: 0.6225, decode.d8.loss_dice: 0.8966, loss: 21.5865 2022-05-01 00:44:12,297 - mmseg - INFO - Iter [16350/80000] lr: 1.142e-06, eta: 1 day, 10:58:16, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4695, decode.loss_mask: 0.6064, decode.loss_dice: 0.8730, decode.d0.loss_cls: 1.5258, decode.d0.loss_mask: 0.6620, decode.d0.loss_dice: 1.0071, decode.d1.loss_cls: 0.5504, decode.d1.loss_mask: 0.6373, decode.d1.loss_dice: 0.9496, decode.d2.loss_cls: 0.5003, decode.d2.loss_mask: 0.6194, decode.d2.loss_dice: 0.9065, decode.d3.loss_cls: 0.4936, decode.d3.loss_mask: 0.6165, decode.d3.loss_dice: 0.8884, decode.d4.loss_cls: 0.4842, decode.d4.loss_mask: 0.6160, decode.d4.loss_dice: 0.8944, decode.d5.loss_cls: 0.4811, decode.d5.loss_mask: 0.6127, decode.d5.loss_dice: 0.8878, decode.d6.loss_cls: 0.4709, decode.d6.loss_mask: 0.6160, decode.d6.loss_dice: 0.8805, decode.d7.loss_cls: 0.4726, decode.d7.loss_mask: 0.6118, decode.d7.loss_dice: 0.8811, decode.d8.loss_cls: 0.4749, decode.d8.loss_mask: 0.6104, decode.d8.loss_dice: 0.8772, loss: 21.1776 2022-05-01 00:45:45,733 - mmseg - INFO - Iter [16400/80000] lr: 1.141e-06, eta: 1 day, 10:56:16, time: 1.870, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4760, decode.loss_mask: 0.5874, decode.loss_dice: 0.8753, decode.d0.loss_cls: 1.5339, decode.d0.loss_mask: 0.6396, decode.d0.loss_dice: 1.0060, decode.d1.loss_cls: 0.5810, decode.d1.loss_mask: 0.6186, decode.d1.loss_dice: 0.9395, decode.d2.loss_cls: 0.5191, decode.d2.loss_mask: 0.6022, decode.d2.loss_dice: 0.9097, decode.d3.loss_cls: 0.4988, decode.d3.loss_mask: 0.5971, decode.d3.loss_dice: 0.8861, decode.d4.loss_cls: 0.4888, decode.d4.loss_mask: 0.5964, decode.d4.loss_dice: 0.8836, decode.d5.loss_cls: 0.4852, decode.d5.loss_mask: 0.5962, decode.d5.loss_dice: 0.8800, decode.d6.loss_cls: 0.4715, decode.d6.loss_mask: 0.5877, decode.d6.loss_dice: 0.8759, decode.d7.loss_cls: 0.4713, decode.d7.loss_mask: 0.5900, decode.d7.loss_dice: 0.8737, decode.d8.loss_cls: 0.4709, decode.d8.loss_mask: 0.5899, decode.d8.loss_dice: 0.8752, loss: 21.0066 2022-05-01 00:47:21,147 - mmseg - INFO - Iter [16450/80000] lr: 1.141e-06, eta: 1 day, 10:54:24, time: 1.907, data_time: 0.066, memory: 64716, decode.loss_cls: 0.4718, decode.loss_mask: 0.5829, decode.loss_dice: 0.8536, decode.d0.loss_cls: 1.5646, decode.d0.loss_mask: 0.6294, decode.d0.loss_dice: 0.9927, decode.d1.loss_cls: 0.5696, decode.d1.loss_mask: 0.6141, decode.d1.loss_dice: 0.9404, decode.d2.loss_cls: 0.5158, decode.d2.loss_mask: 0.5953, decode.d2.loss_dice: 0.8958, decode.d3.loss_cls: 0.4988, decode.d3.loss_mask: 0.5845, decode.d3.loss_dice: 0.8706, decode.d4.loss_cls: 0.4825, decode.d4.loss_mask: 0.5833, decode.d4.loss_dice: 0.8767, decode.d5.loss_cls: 0.4770, decode.d5.loss_mask: 0.5840, decode.d5.loss_dice: 0.8664, decode.d6.loss_cls: 0.4706, decode.d6.loss_mask: 0.5802, decode.d6.loss_dice: 0.8532, decode.d7.loss_cls: 0.4675, decode.d7.loss_mask: 0.5804, decode.d7.loss_dice: 0.8598, decode.d8.loss_cls: 0.4692, decode.d8.loss_mask: 0.5809, decode.d8.loss_dice: 0.8564, loss: 20.7683 2022-05-01 00:48:51,994 - mmseg - INFO - Iter [16500/80000] lr: 1.140e-06, eta: 1 day, 10:52:14, time: 1.816, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4565, decode.loss_mask: 0.6094, decode.loss_dice: 0.8910, decode.d0.loss_cls: 1.5150, decode.d0.loss_mask: 0.6615, decode.d0.loss_dice: 1.0130, decode.d1.loss_cls: 0.5438, decode.d1.loss_mask: 0.6423, decode.d1.loss_dice: 0.9520, decode.d2.loss_cls: 0.4927, decode.d2.loss_mask: 0.6228, decode.d2.loss_dice: 0.9244, decode.d3.loss_cls: 0.4734, decode.d3.loss_mask: 0.6150, decode.d3.loss_dice: 0.8998, decode.d4.loss_cls: 0.4633, decode.d4.loss_mask: 0.6141, decode.d4.loss_dice: 0.9011, decode.d5.loss_cls: 0.4679, decode.d5.loss_mask: 0.6112, decode.d5.loss_dice: 0.8920, decode.d6.loss_cls: 0.4630, decode.d6.loss_mask: 0.6072, decode.d6.loss_dice: 0.8866, decode.d7.loss_cls: 0.4604, decode.d7.loss_mask: 0.6062, decode.d7.loss_dice: 0.8922, decode.d8.loss_cls: 0.4554, decode.d8.loss_mask: 0.6076, decode.d8.loss_dice: 0.8876, loss: 21.1284 2022-05-01 00:50:23,570 - mmseg - INFO - Iter [16550/80000] lr: 1.139e-06, eta: 1 day, 10:50:07, time: 1.832, data_time: 0.019, memory: 64716, decode.loss_cls: 0.4421, decode.loss_mask: 0.6067, decode.loss_dice: 0.8816, decode.d0.loss_cls: 1.4845, decode.d0.loss_mask: 0.6516, decode.d0.loss_dice: 0.9984, decode.d1.loss_cls: 0.5419, decode.d1.loss_mask: 0.6307, decode.d1.loss_dice: 0.9536, decode.d2.loss_cls: 0.4933, decode.d2.loss_mask: 0.6173, decode.d2.loss_dice: 0.9180, decode.d3.loss_cls: 0.4762, decode.d3.loss_mask: 0.6086, decode.d3.loss_dice: 0.8905, decode.d4.loss_cls: 0.4651, decode.d4.loss_mask: 0.6039, decode.d4.loss_dice: 0.8877, decode.d5.loss_cls: 0.4590, decode.d5.loss_mask: 0.6027, decode.d5.loss_dice: 0.8924, decode.d6.loss_cls: 0.4478, decode.d6.loss_mask: 0.6010, decode.d6.loss_dice: 0.8787, decode.d7.loss_cls: 0.4466, decode.d7.loss_mask: 0.6061, decode.d7.loss_dice: 0.8814, decode.d8.loss_cls: 0.4433, decode.d8.loss_mask: 0.6061, decode.d8.loss_dice: 0.8779, loss: 20.8948 2022-05-01 00:51:56,764 - mmseg - INFO - Iter [16600/80000] lr: 1.138e-06, eta: 1 day, 10:48:07, time: 1.865, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4471, decode.loss_mask: 0.5682, decode.loss_dice: 0.8434, decode.d0.loss_cls: 1.5280, decode.d0.loss_mask: 0.6277, decode.d0.loss_dice: 0.9695, decode.d1.loss_cls: 0.5561, decode.d1.loss_mask: 0.5944, decode.d1.loss_dice: 0.9092, decode.d2.loss_cls: 0.4936, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8690, decode.d3.loss_cls: 0.4739, decode.d3.loss_mask: 0.5719, decode.d3.loss_dice: 0.8541, decode.d4.loss_cls: 0.4677, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8473, decode.d5.loss_cls: 0.4605, decode.d5.loss_mask: 0.5723, decode.d5.loss_dice: 0.8509, decode.d6.loss_cls: 0.4567, decode.d6.loss_mask: 0.5683, decode.d6.loss_dice: 0.8390, decode.d7.loss_cls: 0.4534, decode.d7.loss_mask: 0.5671, decode.d7.loss_dice: 0.8485, decode.d8.loss_cls: 0.4519, decode.d8.loss_mask: 0.5659, decode.d8.loss_dice: 0.8395, loss: 20.2501 2022-05-01 00:53:30,756 - mmseg - INFO - Iter [16650/80000] lr: 1.137e-06, eta: 1 day, 10:46:10, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4398, decode.loss_mask: 0.5954, decode.loss_dice: 0.8526, decode.d0.loss_cls: 1.4960, decode.d0.loss_mask: 0.6463, decode.d0.loss_dice: 0.9755, decode.d1.loss_cls: 0.5319, decode.d1.loss_mask: 0.6271, decode.d1.loss_dice: 0.9251, decode.d2.loss_cls: 0.4777, decode.d2.loss_mask: 0.6126, decode.d2.loss_dice: 0.8883, decode.d3.loss_cls: 0.4624, decode.d3.loss_mask: 0.6032, decode.d3.loss_dice: 0.8678, decode.d4.loss_cls: 0.4607, decode.d4.loss_mask: 0.5980, decode.d4.loss_dice: 0.8654, decode.d5.loss_cls: 0.4477, decode.d5.loss_mask: 0.6008, decode.d5.loss_dice: 0.8605, decode.d6.loss_cls: 0.4443, decode.d6.loss_mask: 0.5956, decode.d6.loss_dice: 0.8510, decode.d7.loss_cls: 0.4388, decode.d7.loss_mask: 0.5954, decode.d7.loss_dice: 0.8569, decode.d8.loss_cls: 0.4387, decode.d8.loss_mask: 0.5957, decode.d8.loss_dice: 0.8535, loss: 20.5048 2022-05-01 00:55:04,197 - mmseg - INFO - Iter [16700/80000] lr: 1.136e-06, eta: 1 day, 10:44:11, time: 1.867, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4723, decode.loss_mask: 0.6162, decode.loss_dice: 0.8664, decode.d0.loss_cls: 1.5440, decode.d0.loss_mask: 0.6709, decode.d0.loss_dice: 0.9844, decode.d1.loss_cls: 0.5658, decode.d1.loss_mask: 0.6477, decode.d1.loss_dice: 0.9400, decode.d2.loss_cls: 0.5094, decode.d2.loss_mask: 0.6305, decode.d2.loss_dice: 0.9044, decode.d3.loss_cls: 0.4886, decode.d3.loss_mask: 0.6205, decode.d3.loss_dice: 0.8777, decode.d4.loss_cls: 0.4803, decode.d4.loss_mask: 0.6230, decode.d4.loss_dice: 0.8773, decode.d5.loss_cls: 0.4777, decode.d5.loss_mask: 0.6217, decode.d5.loss_dice: 0.8742, decode.d6.loss_cls: 0.4705, decode.d6.loss_mask: 0.6212, decode.d6.loss_dice: 0.8636, decode.d7.loss_cls: 0.4659, decode.d7.loss_mask: 0.6208, decode.d7.loss_dice: 0.8685, decode.d8.loss_cls: 0.4700, decode.d8.loss_mask: 0.6180, decode.d8.loss_dice: 0.8629, loss: 21.1545 2022-05-01 00:56:37,051 - mmseg - INFO - Iter [16750/80000] lr: 1.135e-06, eta: 1 day, 10:42:10, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4611, decode.loss_mask: 0.5761, decode.loss_dice: 0.8754, decode.d0.loss_cls: 1.5162, decode.d0.loss_mask: 0.6211, decode.d0.loss_dice: 1.0000, decode.d1.loss_cls: 0.5461, decode.d1.loss_mask: 0.6030, decode.d1.loss_dice: 0.9411, decode.d2.loss_cls: 0.4938, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.9077, decode.d3.loss_cls: 0.4766, decode.d3.loss_mask: 0.5776, decode.d3.loss_dice: 0.8881, decode.d4.loss_cls: 0.4714, decode.d4.loss_mask: 0.5780, decode.d4.loss_dice: 0.8872, decode.d5.loss_cls: 0.4674, decode.d5.loss_mask: 0.5790, decode.d5.loss_dice: 0.8796, decode.d6.loss_cls: 0.4609, decode.d6.loss_mask: 0.5770, decode.d6.loss_dice: 0.8686, decode.d7.loss_cls: 0.4579, decode.d7.loss_mask: 0.5787, decode.d7.loss_dice: 0.8759, decode.d8.loss_cls: 0.4575, decode.d8.loss_mask: 0.5792, decode.d8.loss_dice: 0.8770, loss: 20.6677 2022-05-01 00:58:09,567 - mmseg - INFO - Iter [16800/80000] lr: 1.134e-06, eta: 1 day, 10:40:08, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4484, decode.loss_mask: 0.5968, decode.loss_dice: 0.8666, decode.d0.loss_cls: 1.4945, decode.d0.loss_mask: 0.6464, decode.d0.loss_dice: 0.9982, decode.d1.loss_cls: 0.5308, decode.d1.loss_mask: 0.6256, decode.d1.loss_dice: 0.9440, decode.d2.loss_cls: 0.4814, decode.d2.loss_mask: 0.6058, decode.d2.loss_dice: 0.9007, decode.d3.loss_cls: 0.4751, decode.d3.loss_mask: 0.6012, decode.d3.loss_dice: 0.8776, decode.d4.loss_cls: 0.4623, decode.d4.loss_mask: 0.5955, decode.d4.loss_dice: 0.8745, decode.d5.loss_cls: 0.4579, decode.d5.loss_mask: 0.6004, decode.d5.loss_dice: 0.8740, decode.d6.loss_cls: 0.4506, decode.d6.loss_mask: 0.5962, decode.d6.loss_dice: 0.8638, decode.d7.loss_cls: 0.4472, decode.d7.loss_mask: 0.5953, decode.d7.loss_dice: 0.8713, decode.d8.loss_cls: 0.4514, decode.d8.loss_mask: 0.5930, decode.d8.loss_dice: 0.8688, loss: 20.6954 2022-05-01 00:59:42,913 - mmseg - INFO - Iter [16850/80000] lr: 1.133e-06, eta: 1 day, 10:38:09, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4635, decode.loss_mask: 0.6316, decode.loss_dice: 0.8783, decode.d0.loss_cls: 1.4859, decode.d0.loss_mask: 0.6787, decode.d0.loss_dice: 1.0154, decode.d1.loss_cls: 0.5267, decode.d1.loss_mask: 0.6661, decode.d1.loss_dice: 0.9517, decode.d2.loss_cls: 0.4835, decode.d2.loss_mask: 0.6521, decode.d2.loss_dice: 0.9202, decode.d3.loss_cls: 0.4712, decode.d3.loss_mask: 0.6394, decode.d3.loss_dice: 0.8952, decode.d4.loss_cls: 0.4601, decode.d4.loss_mask: 0.6421, decode.d4.loss_dice: 0.8974, decode.d5.loss_cls: 0.4609, decode.d5.loss_mask: 0.6368, decode.d5.loss_dice: 0.8912, decode.d6.loss_cls: 0.4590, decode.d6.loss_mask: 0.6309, decode.d6.loss_dice: 0.8779, decode.d7.loss_cls: 0.4548, decode.d7.loss_mask: 0.6343, decode.d7.loss_dice: 0.8828, decode.d8.loss_cls: 0.4616, decode.d8.loss_mask: 0.6313, decode.d8.loss_dice: 0.8817, loss: 21.2622 2022-05-01 01:01:17,332 - mmseg - INFO - Iter [16900/80000] lr: 1.133e-06, eta: 1 day, 10:36:14, time: 1.889, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4373, decode.loss_mask: 0.6168, decode.loss_dice: 0.8589, decode.d0.loss_cls: 1.4741, decode.d0.loss_mask: 0.6626, decode.d0.loss_dice: 0.9815, decode.d1.loss_cls: 0.5210, decode.d1.loss_mask: 0.6463, decode.d1.loss_dice: 0.9333, decode.d2.loss_cls: 0.4801, decode.d2.loss_mask: 0.6248, decode.d2.loss_dice: 0.8956, decode.d3.loss_cls: 0.4624, decode.d3.loss_mask: 0.6199, decode.d3.loss_dice: 0.8703, decode.d4.loss_cls: 0.4499, decode.d4.loss_mask: 0.6162, decode.d4.loss_dice: 0.8732, decode.d5.loss_cls: 0.4412, decode.d5.loss_mask: 0.6187, decode.d5.loss_dice: 0.8711, decode.d6.loss_cls: 0.4405, decode.d6.loss_mask: 0.6142, decode.d6.loss_dice: 0.8633, decode.d7.loss_cls: 0.4434, decode.d7.loss_mask: 0.6166, decode.d7.loss_dice: 0.8635, decode.d8.loss_cls: 0.4402, decode.d8.loss_mask: 0.6118, decode.d8.loss_dice: 0.8674, loss: 20.7161 2022-05-01 01:02:50,362 - mmseg - INFO - Iter [16950/80000] lr: 1.132e-06, eta: 1 day, 10:34:14, time: 1.861, data_time: 0.013, memory: 64716, decode.loss_cls: 0.4611, decode.loss_mask: 0.5917, decode.loss_dice: 0.8664, decode.d0.loss_cls: 1.5275, decode.d0.loss_mask: 0.6321, decode.d0.loss_dice: 0.9850, decode.d1.loss_cls: 0.5483, decode.d1.loss_mask: 0.6235, decode.d1.loss_dice: 0.9319, decode.d2.loss_cls: 0.5038, decode.d2.loss_mask: 0.6038, decode.d2.loss_dice: 0.8977, decode.d3.loss_cls: 0.4789, decode.d3.loss_mask: 0.6002, decode.d3.loss_dice: 0.8802, decode.d4.loss_cls: 0.4728, decode.d4.loss_mask: 0.5961, decode.d4.loss_dice: 0.8755, decode.d5.loss_cls: 0.4620, decode.d5.loss_mask: 0.5959, decode.d5.loss_dice: 0.8735, decode.d6.loss_cls: 0.4607, decode.d6.loss_mask: 0.5923, decode.d6.loss_dice: 0.8688, decode.d7.loss_cls: 0.4614, decode.d7.loss_mask: 0.5921, decode.d7.loss_dice: 0.8649, decode.d8.loss_cls: 0.4608, decode.d8.loss_mask: 0.5910, decode.d8.loss_dice: 0.8615, loss: 20.7615 2022-05-01 01:04:22,881 - mmseg - INFO - Saving checkpoint at 17000 iterations 2022-05-01 01:04:56,882 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 01:04:56,914 - mmseg - INFO - Iter [17000/80000] lr: 1.131e-06, eta: 1 day, 10:34:18, time: 2.527, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4577, decode.loss_mask: 0.6143, decode.loss_dice: 0.8697, decode.d0.loss_cls: 1.5160, decode.d0.loss_mask: 0.6588, decode.d0.loss_dice: 1.0014, decode.d1.loss_cls: 0.5464, decode.d1.loss_mask: 0.6421, decode.d1.loss_dice: 0.9474, decode.d2.loss_cls: 0.4934, decode.d2.loss_mask: 0.6238, decode.d2.loss_dice: 0.9150, decode.d3.loss_cls: 0.4758, decode.d3.loss_mask: 0.6208, decode.d3.loss_dice: 0.8953, decode.d4.loss_cls: 0.4685, decode.d4.loss_mask: 0.6190, decode.d4.loss_dice: 0.8918, decode.d5.loss_cls: 0.4656, decode.d5.loss_mask: 0.6148, decode.d5.loss_dice: 0.8829, decode.d6.loss_cls: 0.4582, decode.d6.loss_mask: 0.6157, decode.d6.loss_dice: 0.8730, decode.d7.loss_cls: 0.4489, decode.d7.loss_mask: 0.6179, decode.d7.loss_dice: 0.8771, decode.d8.loss_cls: 0.4572, decode.d8.loss_mask: 0.6134, decode.d8.loss_dice: 0.8755, loss: 21.0574 2022-05-01 01:06:30,115 - mmseg - INFO - Iter [17050/80000] lr: 1.130e-06, eta: 1 day, 10:32:19, time: 1.867, data_time: 0.020, memory: 64716, decode.loss_cls: 0.4525, decode.loss_mask: 0.5938, decode.loss_dice: 0.8566, decode.d0.loss_cls: 1.5111, decode.d0.loss_mask: 0.6438, decode.d0.loss_dice: 0.9907, decode.d1.loss_cls: 0.5415, decode.d1.loss_mask: 0.6251, decode.d1.loss_dice: 0.9290, decode.d2.loss_cls: 0.4865, decode.d2.loss_mask: 0.6041, decode.d2.loss_dice: 0.8835, decode.d3.loss_cls: 0.4584, decode.d3.loss_mask: 0.6017, decode.d3.loss_dice: 0.8740, decode.d4.loss_cls: 0.4556, decode.d4.loss_mask: 0.5970, decode.d4.loss_dice: 0.8729, decode.d5.loss_cls: 0.4536, decode.d5.loss_mask: 0.5966, decode.d5.loss_dice: 0.8672, decode.d6.loss_cls: 0.4454, decode.d6.loss_mask: 0.5952, decode.d6.loss_dice: 0.8556, decode.d7.loss_cls: 0.4445, decode.d7.loss_mask: 0.5939, decode.d7.loss_dice: 0.8610, decode.d8.loss_cls: 0.4446, decode.d8.loss_mask: 0.5929, decode.d8.loss_dice: 0.8606, loss: 20.5889 2022-05-01 01:08:04,268 - mmseg - INFO - Iter [17100/80000] lr: 1.129e-06, eta: 1 day, 10:30:23, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4263, decode.loss_mask: 0.6071, decode.loss_dice: 0.8658, decode.d0.loss_cls: 1.4638, decode.d0.loss_mask: 0.6579, decode.d0.loss_dice: 0.9871, decode.d1.loss_cls: 0.5166, decode.d1.loss_mask: 0.6387, decode.d1.loss_dice: 0.9364, decode.d2.loss_cls: 0.4603, decode.d2.loss_mask: 0.6206, decode.d2.loss_dice: 0.9035, decode.d3.loss_cls: 0.4383, decode.d3.loss_mask: 0.6126, decode.d3.loss_dice: 0.8883, decode.d4.loss_cls: 0.4346, decode.d4.loss_mask: 0.6090, decode.d4.loss_dice: 0.8796, decode.d5.loss_cls: 0.4314, decode.d5.loss_mask: 0.6119, decode.d5.loss_dice: 0.8786, decode.d6.loss_cls: 0.4248, decode.d6.loss_mask: 0.6101, decode.d6.loss_dice: 0.8689, decode.d7.loss_cls: 0.4218, decode.d7.loss_mask: 0.6067, decode.d7.loss_dice: 0.8674, decode.d8.loss_cls: 0.4235, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8683, loss: 20.5656 2022-05-01 01:09:39,769 - mmseg - INFO - Iter [17150/80000] lr: 1.128e-06, eta: 1 day, 10:28:33, time: 1.910, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4397, decode.loss_mask: 0.6208, decode.loss_dice: 0.8731, decode.d0.loss_cls: 1.4604, decode.d0.loss_mask: 0.6706, decode.d0.loss_dice: 0.9946, decode.d1.loss_cls: 0.5310, decode.d1.loss_mask: 0.6489, decode.d1.loss_dice: 0.9387, decode.d2.loss_cls: 0.4868, decode.d2.loss_mask: 0.6347, decode.d2.loss_dice: 0.9015, decode.d3.loss_cls: 0.4676, decode.d3.loss_mask: 0.6228, decode.d3.loss_dice: 0.8841, decode.d4.loss_cls: 0.4601, decode.d4.loss_mask: 0.6242, decode.d4.loss_dice: 0.8810, decode.d5.loss_cls: 0.4496, decode.d5.loss_mask: 0.6236, decode.d5.loss_dice: 0.8801, decode.d6.loss_cls: 0.4489, decode.d6.loss_mask: 0.6183, decode.d6.loss_dice: 0.8681, decode.d7.loss_cls: 0.4448, decode.d7.loss_mask: 0.6209, decode.d7.loss_dice: 0.8745, decode.d8.loss_cls: 0.4426, decode.d8.loss_mask: 0.6203, decode.d8.loss_dice: 0.8692, loss: 20.9018 2022-05-01 01:11:14,074 - mmseg - INFO - Iter [17200/80000] lr: 1.127e-06, eta: 1 day, 10:26:38, time: 1.887, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4697, decode.loss_mask: 0.6213, decode.loss_dice: 0.8903, decode.d0.loss_cls: 1.4910, decode.d0.loss_mask: 0.6729, decode.d0.loss_dice: 1.0080, decode.d1.loss_cls: 0.5541, decode.d1.loss_mask: 0.6529, decode.d1.loss_dice: 0.9601, decode.d2.loss_cls: 0.5016, decode.d2.loss_mask: 0.6344, decode.d2.loss_dice: 0.9183, decode.d3.loss_cls: 0.4796, decode.d3.loss_mask: 0.6278, decode.d3.loss_dice: 0.9064, decode.d4.loss_cls: 0.4681, decode.d4.loss_mask: 0.6299, decode.d4.loss_dice: 0.9086, decode.d5.loss_cls: 0.4665, decode.d5.loss_mask: 0.6247, decode.d5.loss_dice: 0.9040, decode.d6.loss_cls: 0.4678, decode.d6.loss_mask: 0.6179, decode.d6.loss_dice: 0.8996, decode.d7.loss_cls: 0.4622, decode.d7.loss_mask: 0.6212, decode.d7.loss_dice: 0.8992, decode.d8.loss_cls: 0.4652, decode.d8.loss_mask: 0.6201, decode.d8.loss_dice: 0.8944, loss: 21.3377 2022-05-01 01:12:47,674 - mmseg - INFO - Iter [17250/80000] lr: 1.126e-06, eta: 1 day, 10:24:41, time: 1.872, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4492, decode.loss_mask: 0.6255, decode.loss_dice: 0.8806, decode.d0.loss_cls: 1.5061, decode.d0.loss_mask: 0.6716, decode.d0.loss_dice: 1.0063, decode.d1.loss_cls: 0.5502, decode.d1.loss_mask: 0.6552, decode.d1.loss_dice: 0.9504, decode.d2.loss_cls: 0.4972, decode.d2.loss_mask: 0.6378, decode.d2.loss_dice: 0.9125, decode.d3.loss_cls: 0.4773, decode.d3.loss_mask: 0.6287, decode.d3.loss_dice: 0.8896, decode.d4.loss_cls: 0.4664, decode.d4.loss_mask: 0.6280, decode.d4.loss_dice: 0.8886, decode.d5.loss_cls: 0.4681, decode.d5.loss_mask: 0.6230, decode.d5.loss_dice: 0.8865, decode.d6.loss_cls: 0.4624, decode.d6.loss_mask: 0.6295, decode.d6.loss_dice: 0.8804, decode.d7.loss_cls: 0.4584, decode.d7.loss_mask: 0.6261, decode.d7.loss_dice: 0.8791, decode.d8.loss_cls: 0.4523, decode.d8.loss_mask: 0.6229, decode.d8.loss_dice: 0.8823, loss: 21.1922 2022-05-01 01:14:21,070 - mmseg - INFO - Iter [17300/80000] lr: 1.125e-06, eta: 1 day, 10:22:43, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4575, decode.loss_mask: 0.5950, decode.loss_dice: 0.8615, decode.d0.loss_cls: 1.5244, decode.d0.loss_mask: 0.6497, decode.d0.loss_dice: 0.9893, decode.d1.loss_cls: 0.5550, decode.d1.loss_mask: 0.6281, decode.d1.loss_dice: 0.9352, decode.d2.loss_cls: 0.5103, decode.d2.loss_mask: 0.6045, decode.d2.loss_dice: 0.8895, decode.d3.loss_cls: 0.4849, decode.d3.loss_mask: 0.5996, decode.d3.loss_dice: 0.8693, decode.d4.loss_cls: 0.4708, decode.d4.loss_mask: 0.6002, decode.d4.loss_dice: 0.8709, decode.d5.loss_cls: 0.4664, decode.d5.loss_mask: 0.5985, decode.d5.loss_dice: 0.8613, decode.d6.loss_cls: 0.4552, decode.d6.loss_mask: 0.5967, decode.d6.loss_dice: 0.8596, decode.d7.loss_cls: 0.4589, decode.d7.loss_mask: 0.5961, decode.d7.loss_dice: 0.8633, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.5928, decode.d8.loss_dice: 0.8683, loss: 20.7729 2022-05-01 01:15:54,811 - mmseg - INFO - Iter [17350/80000] lr: 1.124e-06, eta: 1 day, 10:20:46, time: 1.874, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4514, decode.loss_mask: 0.6113, decode.loss_dice: 0.8749, decode.d0.loss_cls: 1.4582, decode.d0.loss_mask: 0.6606, decode.d0.loss_dice: 1.0006, decode.d1.loss_cls: 0.5381, decode.d1.loss_mask: 0.6375, decode.d1.loss_dice: 0.9554, decode.d2.loss_cls: 0.5043, decode.d2.loss_mask: 0.6237, decode.d2.loss_dice: 0.9046, decode.d3.loss_cls: 0.4727, decode.d3.loss_mask: 0.6155, decode.d3.loss_dice: 0.8806, decode.d4.loss_cls: 0.4686, decode.d4.loss_mask: 0.6149, decode.d4.loss_dice: 0.8825, decode.d5.loss_cls: 0.4661, decode.d5.loss_mask: 0.6127, decode.d5.loss_dice: 0.8809, decode.d6.loss_cls: 0.4525, decode.d6.loss_mask: 0.6067, decode.d6.loss_dice: 0.8744, decode.d7.loss_cls: 0.4554, decode.d7.loss_mask: 0.6082, decode.d7.loss_dice: 0.8727, decode.d8.loss_cls: 0.4533, decode.d8.loss_mask: 0.6121, decode.d8.loss_dice: 0.8740, loss: 20.9245 2022-05-01 01:17:27,996 - mmseg - INFO - Iter [17400/80000] lr: 1.124e-06, eta: 1 day, 10:18:48, time: 1.864, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4545, decode.loss_mask: 0.5852, decode.loss_dice: 0.8939, decode.d0.loss_cls: 1.5027, decode.d0.loss_mask: 0.6328, decode.d0.loss_dice: 1.0179, decode.d1.loss_cls: 0.5473, decode.d1.loss_mask: 0.6128, decode.d1.loss_dice: 0.9678, decode.d2.loss_cls: 0.4902, decode.d2.loss_mask: 0.6011, decode.d2.loss_dice: 0.9227, decode.d3.loss_cls: 0.4760, decode.d3.loss_mask: 0.5894, decode.d3.loss_dice: 0.9067, decode.d4.loss_cls: 0.4681, decode.d4.loss_mask: 0.5916, decode.d4.loss_dice: 0.9041, decode.d5.loss_cls: 0.4638, decode.d5.loss_mask: 0.5856, decode.d5.loss_dice: 0.9036, decode.d6.loss_cls: 0.4600, decode.d6.loss_mask: 0.5802, decode.d6.loss_dice: 0.8923, decode.d7.loss_cls: 0.4576, decode.d7.loss_mask: 0.5827, decode.d7.loss_dice: 0.8995, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.5847, decode.d8.loss_dice: 0.8952, loss: 20.9302 2022-05-01 01:19:01,737 - mmseg - INFO - Iter [17450/80000] lr: 1.123e-06, eta: 1 day, 10:16:51, time: 1.874, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4671, decode.loss_mask: 0.6315, decode.loss_dice: 0.9051, decode.d0.loss_cls: 1.5189, decode.d0.loss_mask: 0.6891, decode.d0.loss_dice: 1.0315, decode.d1.loss_cls: 0.5531, decode.d1.loss_mask: 0.6662, decode.d1.loss_dice: 0.9733, decode.d2.loss_cls: 0.5031, decode.d2.loss_mask: 0.6455, decode.d2.loss_dice: 0.9435, decode.d3.loss_cls: 0.4845, decode.d3.loss_mask: 0.6415, decode.d3.loss_dice: 0.9237, decode.d4.loss_cls: 0.4789, decode.d4.loss_mask: 0.6355, decode.d4.loss_dice: 0.9232, decode.d5.loss_cls: 0.4748, decode.d5.loss_mask: 0.6332, decode.d5.loss_dice: 0.9157, decode.d6.loss_cls: 0.4688, decode.d6.loss_mask: 0.6305, decode.d6.loss_dice: 0.9124, decode.d7.loss_cls: 0.4665, decode.d7.loss_mask: 0.6287, decode.d7.loss_dice: 0.9094, decode.d8.loss_cls: 0.4628, decode.d8.loss_mask: 0.6329, decode.d8.loss_dice: 0.9137, loss: 21.6648 2022-05-01 01:20:34,978 - mmseg - INFO - Iter [17500/80000] lr: 1.122e-06, eta: 1 day, 10:14:53, time: 1.866, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4511, decode.loss_mask: 0.6010, decode.loss_dice: 0.8664, decode.d0.loss_cls: 1.4713, decode.d0.loss_mask: 0.6651, decode.d0.loss_dice: 1.0120, decode.d1.loss_cls: 0.5366, decode.d1.loss_mask: 0.6363, decode.d1.loss_dice: 0.9535, decode.d2.loss_cls: 0.4905, decode.d2.loss_mask: 0.6165, decode.d2.loss_dice: 0.9091, decode.d3.loss_cls: 0.4668, decode.d3.loss_mask: 0.6076, decode.d3.loss_dice: 0.8795, decode.d4.loss_cls: 0.4568, decode.d4.loss_mask: 0.6108, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.4531, decode.d5.loss_mask: 0.6125, decode.d5.loss_dice: 0.8794, decode.d6.loss_cls: 0.4513, decode.d6.loss_mask: 0.6057, decode.d6.loss_dice: 0.8670, decode.d7.loss_cls: 0.4489, decode.d7.loss_mask: 0.6064, decode.d7.loss_dice: 0.8704, decode.d8.loss_cls: 0.4494, decode.d8.loss_mask: 0.6045, decode.d8.loss_dice: 0.8678, loss: 20.8319 2022-05-01 01:22:09,001 - mmseg - INFO - Iter [17550/80000] lr: 1.121e-06, eta: 1 day, 10:12:58, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4571, decode.loss_mask: 0.6125, decode.loss_dice: 0.8641, decode.d0.loss_cls: 1.5270, decode.d0.loss_mask: 0.6657, decode.d0.loss_dice: 0.9968, decode.d1.loss_cls: 0.5477, decode.d1.loss_mask: 0.6446, decode.d1.loss_dice: 0.9359, decode.d2.loss_cls: 0.4965, decode.d2.loss_mask: 0.6296, decode.d2.loss_dice: 0.8982, decode.d3.loss_cls: 0.4751, decode.d3.loss_mask: 0.6140, decode.d3.loss_dice: 0.8827, decode.d4.loss_cls: 0.4634, decode.d4.loss_mask: 0.6114, decode.d4.loss_dice: 0.8811, decode.d5.loss_cls: 0.4590, decode.d5.loss_mask: 0.6101, decode.d5.loss_dice: 0.8744, decode.d6.loss_cls: 0.4596, decode.d6.loss_mask: 0.6114, decode.d6.loss_dice: 0.8607, decode.d7.loss_cls: 0.4544, decode.d7.loss_mask: 0.6118, decode.d7.loss_dice: 0.8626, decode.d8.loss_cls: 0.4555, decode.d8.loss_mask: 0.6112, decode.d8.loss_dice: 0.8631, loss: 20.9372 2022-05-01 01:23:41,923 - mmseg - INFO - Iter [17600/80000] lr: 1.120e-06, eta: 1 day, 10:10:59, time: 1.857, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4591, decode.loss_mask: 0.5884, decode.loss_dice: 0.8545, decode.d0.loss_cls: 1.4905, decode.d0.loss_mask: 0.6389, decode.d0.loss_dice: 0.9800, decode.d1.loss_cls: 0.5405, decode.d1.loss_mask: 0.6172, decode.d1.loss_dice: 0.9338, decode.d2.loss_cls: 0.4884, decode.d2.loss_mask: 0.6042, decode.d2.loss_dice: 0.8833, decode.d3.loss_cls: 0.4746, decode.d3.loss_mask: 0.5946, decode.d3.loss_dice: 0.8617, decode.d4.loss_cls: 0.4690, decode.d4.loss_mask: 0.5939, decode.d4.loss_dice: 0.8611, decode.d5.loss_cls: 0.4659, decode.d5.loss_mask: 0.5898, decode.d5.loss_dice: 0.8626, decode.d6.loss_cls: 0.4650, decode.d6.loss_mask: 0.5851, decode.d6.loss_dice: 0.8542, decode.d7.loss_cls: 0.4632, decode.d7.loss_mask: 0.5861, decode.d7.loss_dice: 0.8601, decode.d8.loss_cls: 0.4623, decode.d8.loss_mask: 0.5874, decode.d8.loss_dice: 0.8569, loss: 20.5722 2022-05-01 01:25:14,595 - mmseg - INFO - Iter [17650/80000] lr: 1.119e-06, eta: 1 day, 10:09:00, time: 1.854, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4476, decode.loss_mask: 0.5891, decode.loss_dice: 0.8671, decode.d0.loss_cls: 1.4806, decode.d0.loss_mask: 0.6376, decode.d0.loss_dice: 0.9995, decode.d1.loss_cls: 0.5342, decode.d1.loss_mask: 0.6190, decode.d1.loss_dice: 0.9432, decode.d2.loss_cls: 0.4906, decode.d2.loss_mask: 0.6029, decode.d2.loss_dice: 0.9096, decode.d3.loss_cls: 0.4732, decode.d3.loss_mask: 0.5949, decode.d3.loss_dice: 0.8832, decode.d4.loss_cls: 0.4676, decode.d4.loss_mask: 0.5943, decode.d4.loss_dice: 0.8789, decode.d5.loss_cls: 0.4585, decode.d5.loss_mask: 0.5916, decode.d5.loss_dice: 0.8771, decode.d6.loss_cls: 0.4551, decode.d6.loss_mask: 0.5892, decode.d6.loss_dice: 0.8709, decode.d7.loss_cls: 0.4510, decode.d7.loss_mask: 0.5874, decode.d7.loss_dice: 0.8728, decode.d8.loss_cls: 0.4491, decode.d8.loss_mask: 0.5864, decode.d8.loss_dice: 0.8699, loss: 20.6722 2022-05-01 01:26:51,430 - mmseg - INFO - Iter [17700/80000] lr: 1.118e-06, eta: 1 day, 10:07:15, time: 1.937, data_time: 0.063, memory: 64716, decode.loss_cls: 0.4457, decode.loss_mask: 0.5734, decode.loss_dice: 0.8438, decode.d0.loss_cls: 1.5142, decode.d0.loss_mask: 0.6224, decode.d0.loss_dice: 0.9585, decode.d1.loss_cls: 0.5347, decode.d1.loss_mask: 0.6052, decode.d1.loss_dice: 0.9128, decode.d2.loss_cls: 0.4991, decode.d2.loss_mask: 0.5797, decode.d2.loss_dice: 0.8711, decode.d3.loss_cls: 0.4683, decode.d3.loss_mask: 0.5725, decode.d3.loss_dice: 0.8599, decode.d4.loss_cls: 0.4657, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8551, decode.d5.loss_cls: 0.4527, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8508, decode.d6.loss_cls: 0.4508, decode.d6.loss_mask: 0.5756, decode.d6.loss_dice: 0.8410, decode.d7.loss_cls: 0.4508, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8421, decode.d8.loss_cls: 0.4486, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.8465, loss: 20.2323 2022-05-01 01:28:24,049 - mmseg - INFO - Iter [17750/80000] lr: 1.117e-06, eta: 1 day, 10:05:16, time: 1.852, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4104, decode.loss_mask: 0.5928, decode.loss_dice: 0.8503, decode.d0.loss_cls: 1.4772, decode.d0.loss_mask: 0.6458, decode.d0.loss_dice: 0.9757, decode.d1.loss_cls: 0.5091, decode.d1.loss_mask: 0.6244, decode.d1.loss_dice: 0.9300, decode.d2.loss_cls: 0.4489, decode.d2.loss_mask: 0.6065, decode.d2.loss_dice: 0.8813, decode.d3.loss_cls: 0.4291, decode.d3.loss_mask: 0.5998, decode.d3.loss_dice: 0.8627, decode.d4.loss_cls: 0.4207, decode.d4.loss_mask: 0.5969, decode.d4.loss_dice: 0.8645, decode.d5.loss_cls: 0.4093, decode.d5.loss_mask: 0.5976, decode.d5.loss_dice: 0.8609, decode.d6.loss_cls: 0.4045, decode.d6.loss_mask: 0.5932, decode.d6.loss_dice: 0.8552, decode.d7.loss_cls: 0.4023, decode.d7.loss_mask: 0.5923, decode.d7.loss_dice: 0.8560, decode.d8.loss_cls: 0.4046, decode.d8.loss_mask: 0.5956, decode.d8.loss_dice: 0.8539, loss: 20.1516 2022-05-01 01:29:56,288 - mmseg - INFO - Iter [17800/80000] lr: 1.116e-06, eta: 1 day, 10:03:15, time: 1.845, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4346, decode.loss_mask: 0.5898, decode.loss_dice: 0.8676, decode.d0.loss_cls: 1.5261, decode.d0.loss_mask: 0.6433, decode.d0.loss_dice: 1.0009, decode.d1.loss_cls: 0.5289, decode.d1.loss_mask: 0.6214, decode.d1.loss_dice: 0.9469, decode.d2.loss_cls: 0.4739, decode.d2.loss_mask: 0.6076, decode.d2.loss_dice: 0.9047, decode.d3.loss_cls: 0.4557, decode.d3.loss_mask: 0.6000, decode.d3.loss_dice: 0.8866, decode.d4.loss_cls: 0.4472, decode.d4.loss_mask: 0.5990, decode.d4.loss_dice: 0.8831, decode.d5.loss_cls: 0.4494, decode.d5.loss_mask: 0.5944, decode.d5.loss_dice: 0.8796, decode.d6.loss_cls: 0.4343, decode.d6.loss_mask: 0.5931, decode.d6.loss_dice: 0.8784, decode.d7.loss_cls: 0.4308, decode.d7.loss_mask: 0.5936, decode.d7.loss_dice: 0.8736, decode.d8.loss_cls: 0.4296, decode.d8.loss_mask: 0.5930, decode.d8.loss_dice: 0.8720, loss: 20.6389 2022-05-01 01:31:29,501 - mmseg - INFO - Iter [17850/80000] lr: 1.115e-06, eta: 1 day, 10:01:18, time: 1.864, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4465, decode.loss_mask: 0.5737, decode.loss_dice: 0.8619, decode.d0.loss_cls: 1.4889, decode.d0.loss_mask: 0.6326, decode.d0.loss_dice: 1.0047, decode.d1.loss_cls: 0.5367, decode.d1.loss_mask: 0.6065, decode.d1.loss_dice: 0.9490, decode.d2.loss_cls: 0.4786, decode.d2.loss_mask: 0.5880, decode.d2.loss_dice: 0.8981, decode.d3.loss_cls: 0.4623, decode.d3.loss_mask: 0.5806, decode.d3.loss_dice: 0.8804, decode.d4.loss_cls: 0.4526, decode.d4.loss_mask: 0.5782, decode.d4.loss_dice: 0.8820, decode.d5.loss_cls: 0.4480, decode.d5.loss_mask: 0.5759, decode.d5.loss_dice: 0.8734, decode.d6.loss_cls: 0.4421, decode.d6.loss_mask: 0.5723, decode.d6.loss_dice: 0.8641, decode.d7.loss_cls: 0.4427, decode.d7.loss_mask: 0.5736, decode.d7.loss_dice: 0.8673, decode.d8.loss_cls: 0.4458, decode.d8.loss_mask: 0.5740, decode.d8.loss_dice: 0.8626, loss: 20.4430 2022-05-01 01:33:03,907 - mmseg - INFO - Iter [17900/80000] lr: 1.115e-06, eta: 1 day, 9:59:25, time: 1.887, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4043, decode.loss_mask: 0.6182, decode.loss_dice: 0.8546, decode.d0.loss_cls: 1.4481, decode.d0.loss_mask: 0.6760, decode.d0.loss_dice: 0.9711, decode.d1.loss_cls: 0.4973, decode.d1.loss_mask: 0.6447, decode.d1.loss_dice: 0.9206, decode.d2.loss_cls: 0.4440, decode.d2.loss_mask: 0.6261, decode.d2.loss_dice: 0.8802, decode.d3.loss_cls: 0.4283, decode.d3.loss_mask: 0.6203, decode.d3.loss_dice: 0.8621, decode.d4.loss_cls: 0.4281, decode.d4.loss_mask: 0.6162, decode.d4.loss_dice: 0.8629, decode.d5.loss_cls: 0.4180, decode.d5.loss_mask: 0.6197, decode.d5.loss_dice: 0.8686, decode.d6.loss_cls: 0.4092, decode.d6.loss_mask: 0.6234, decode.d6.loss_dice: 0.8564, decode.d7.loss_cls: 0.4061, decode.d7.loss_mask: 0.6218, decode.d7.loss_dice: 0.8562, decode.d8.loss_cls: 0.4035, decode.d8.loss_mask: 0.6180, decode.d8.loss_dice: 0.8562, loss: 20.3603 2022-05-01 01:34:37,435 - mmseg - INFO - Iter [17950/80000] lr: 1.114e-06, eta: 1 day, 9:57:29, time: 1.872, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4030, decode.loss_mask: 0.5759, decode.loss_dice: 0.8315, decode.d0.loss_cls: 1.4627, decode.d0.loss_mask: 0.6242, decode.d0.loss_dice: 0.9630, decode.d1.loss_cls: 0.4985, decode.d1.loss_mask: 0.6076, decode.d1.loss_dice: 0.8934, decode.d2.loss_cls: 0.4451, decode.d2.loss_mask: 0.5931, decode.d2.loss_dice: 0.8664, decode.d3.loss_cls: 0.4350, decode.d3.loss_mask: 0.5818, decode.d3.loss_dice: 0.8394, decode.d4.loss_cls: 0.4220, decode.d4.loss_mask: 0.5814, decode.d4.loss_dice: 0.8406, decode.d5.loss_cls: 0.4133, decode.d5.loss_mask: 0.5801, decode.d5.loss_dice: 0.8412, decode.d6.loss_cls: 0.4046, decode.d6.loss_mask: 0.5772, decode.d6.loss_dice: 0.8347, decode.d7.loss_cls: 0.4024, decode.d7.loss_mask: 0.5765, decode.d7.loss_dice: 0.8398, decode.d8.loss_cls: 0.4090, decode.d8.loss_mask: 0.5747, decode.d8.loss_dice: 0.8352, loss: 19.7533 2022-05-01 01:36:11,927 - mmseg - INFO - Saving checkpoint at 18000 iterations 2022-05-01 01:36:30,537 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 01:36:30,541 - mmseg - INFO - Iter [18000/80000] lr: 1.113e-06, eta: 1 day, 9:56:41, time: 2.260, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4428, decode.loss_mask: 0.5755, decode.loss_dice: 0.8395, decode.d0.loss_cls: 1.5330, decode.d0.loss_mask: 0.6166, decode.d0.loss_dice: 0.9734, decode.d1.loss_cls: 0.5427, decode.d1.loss_mask: 0.6056, decode.d1.loss_dice: 0.9172, decode.d2.loss_cls: 0.4964, decode.d2.loss_mask: 0.5836, decode.d2.loss_dice: 0.8726, decode.d3.loss_cls: 0.4780, decode.d3.loss_mask: 0.5803, decode.d3.loss_dice: 0.8604, decode.d4.loss_cls: 0.4619, decode.d4.loss_mask: 0.5825, decode.d4.loss_dice: 0.8565, decode.d5.loss_cls: 0.4535, decode.d5.loss_mask: 0.5753, decode.d5.loss_dice: 0.8491, decode.d6.loss_cls: 0.4448, decode.d6.loss_mask: 0.5756, decode.d6.loss_dice: 0.8429, decode.d7.loss_cls: 0.4475, decode.d7.loss_mask: 0.5747, decode.d7.loss_dice: 0.8393, decode.d8.loss_cls: 0.4464, decode.d8.loss_mask: 0.5744, decode.d8.loss_dice: 0.8407, loss: 20.2829 2022-05-01 01:38:03,963 - mmseg - INFO - Iter [18050/80000] lr: 1.112e-06, eta: 1 day, 9:54:45, time: 1.870, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4433, decode.loss_mask: 0.5763, decode.loss_dice: 0.8514, decode.d0.loss_cls: 1.4914, decode.d0.loss_mask: 0.6245, decode.d0.loss_dice: 0.9662, decode.d1.loss_cls: 0.5308, decode.d1.loss_mask: 0.6019, decode.d1.loss_dice: 0.9146, decode.d2.loss_cls: 0.4811, decode.d2.loss_mask: 0.5883, decode.d2.loss_dice: 0.8766, decode.d3.loss_cls: 0.4634, decode.d3.loss_mask: 0.5827, decode.d3.loss_dice: 0.8596, decode.d4.loss_cls: 0.4538, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8677, decode.d5.loss_cls: 0.4543, decode.d5.loss_mask: 0.5784, decode.d5.loss_dice: 0.8614, decode.d6.loss_cls: 0.4428, decode.d6.loss_mask: 0.5760, decode.d6.loss_dice: 0.8505, decode.d7.loss_cls: 0.4454, decode.d7.loss_mask: 0.5745, decode.d7.loss_dice: 0.8482, decode.d8.loss_cls: 0.4406, decode.d8.loss_mask: 0.5760, decode.d8.loss_dice: 0.8542, loss: 20.2531 2022-05-01 01:39:36,768 - mmseg - INFO - Iter [18100/80000] lr: 1.111e-06, eta: 1 day, 9:52:47, time: 1.856, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4283, decode.loss_mask: 0.6073, decode.loss_dice: 0.8798, decode.d0.loss_cls: 1.4808, decode.d0.loss_mask: 0.6518, decode.d0.loss_dice: 1.0047, decode.d1.loss_cls: 0.5265, decode.d1.loss_mask: 0.6308, decode.d1.loss_dice: 0.9446, decode.d2.loss_cls: 0.4680, decode.d2.loss_mask: 0.6180, decode.d2.loss_dice: 0.9131, decode.d3.loss_cls: 0.4488, decode.d3.loss_mask: 0.6140, decode.d3.loss_dice: 0.8941, decode.d4.loss_cls: 0.4389, decode.d4.loss_mask: 0.6123, decode.d4.loss_dice: 0.9006, decode.d5.loss_cls: 0.4412, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.8854, decode.d6.loss_cls: 0.4413, decode.d6.loss_mask: 0.6035, decode.d6.loss_dice: 0.8797, decode.d7.loss_cls: 0.4341, decode.d7.loss_mask: 0.6036, decode.d7.loss_dice: 0.8811, decode.d8.loss_cls: 0.4342, decode.d8.loss_mask: 0.6011, decode.d8.loss_dice: 0.8759, loss: 20.7499 2022-05-01 01:41:09,286 - mmseg - INFO - Iter [18150/80000] lr: 1.110e-06, eta: 1 day, 9:50:48, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4304, decode.loss_mask: 0.6155, decode.loss_dice: 0.8699, decode.d0.loss_cls: 1.4588, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 0.9829, decode.d1.loss_cls: 0.5248, decode.d1.loss_mask: 0.6362, decode.d1.loss_dice: 0.9312, decode.d2.loss_cls: 0.4716, decode.d2.loss_mask: 0.6198, decode.d2.loss_dice: 0.9014, decode.d3.loss_cls: 0.4444, decode.d3.loss_mask: 0.6157, decode.d3.loss_dice: 0.8834, decode.d4.loss_cls: 0.4400, decode.d4.loss_mask: 0.6125, decode.d4.loss_dice: 0.8793, decode.d5.loss_cls: 0.4403, decode.d5.loss_mask: 0.6110, decode.d5.loss_dice: 0.8774, decode.d6.loss_cls: 0.4321, decode.d6.loss_mask: 0.6109, decode.d6.loss_dice: 0.8705, decode.d7.loss_cls: 0.4296, decode.d7.loss_mask: 0.6142, decode.d7.loss_dice: 0.8661, decode.d8.loss_cls: 0.4300, decode.d8.loss_mask: 0.6159, decode.d8.loss_dice: 0.8695, loss: 20.6395 2022-05-01 01:42:42,274 - mmseg - INFO - Iter [18200/80000] lr: 1.109e-06, eta: 1 day, 9:48:50, time: 1.860, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4559, decode.loss_mask: 0.6200, decode.loss_dice: 0.8752, decode.d0.loss_cls: 1.4915, decode.d0.loss_mask: 0.6656, decode.d0.loss_dice: 1.0108, decode.d1.loss_cls: 0.5479, decode.d1.loss_mask: 0.6522, decode.d1.loss_dice: 0.9507, decode.d2.loss_cls: 0.5055, decode.d2.loss_mask: 0.6318, decode.d2.loss_dice: 0.9085, decode.d3.loss_cls: 0.4905, decode.d3.loss_mask: 0.6233, decode.d3.loss_dice: 0.8865, decode.d4.loss_cls: 0.4728, decode.d4.loss_mask: 0.6209, decode.d4.loss_dice: 0.8859, decode.d5.loss_cls: 0.4706, decode.d5.loss_mask: 0.6202, decode.d5.loss_dice: 0.8805, decode.d6.loss_cls: 0.4661, decode.d6.loss_mask: 0.6159, decode.d6.loss_dice: 0.8704, decode.d7.loss_cls: 0.4672, decode.d7.loss_mask: 0.6154, decode.d7.loss_dice: 0.8729, decode.d8.loss_cls: 0.4602, decode.d8.loss_mask: 0.6191, decode.d8.loss_dice: 0.8761, loss: 21.1302 2022-05-01 01:44:14,879 - mmseg - INFO - Iter [18250/80000] lr: 1.108e-06, eta: 1 day, 9:46:52, time: 1.852, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4392, decode.loss_mask: 0.6055, decode.loss_dice: 0.8637, decode.d0.loss_cls: 1.4693, decode.d0.loss_mask: 0.6627, decode.d0.loss_dice: 0.9784, decode.d1.loss_cls: 0.5234, decode.d1.loss_mask: 0.6353, decode.d1.loss_dice: 0.9323, decode.d2.loss_cls: 0.4751, decode.d2.loss_mask: 0.6196, decode.d2.loss_dice: 0.8975, decode.d3.loss_cls: 0.4610, decode.d3.loss_mask: 0.6101, decode.d3.loss_dice: 0.8767, decode.d4.loss_cls: 0.4531, decode.d4.loss_mask: 0.6071, decode.d4.loss_dice: 0.8748, decode.d5.loss_cls: 0.4498, decode.d5.loss_mask: 0.6078, decode.d5.loss_dice: 0.8746, decode.d6.loss_cls: 0.4466, decode.d6.loss_mask: 0.6056, decode.d6.loss_dice: 0.8653, decode.d7.loss_cls: 0.4421, decode.d7.loss_mask: 0.6037, decode.d7.loss_dice: 0.8685, decode.d8.loss_cls: 0.4433, decode.d8.loss_mask: 0.6040, decode.d8.loss_dice: 0.8698, loss: 20.6660 2022-05-01 01:45:47,240 - mmseg - INFO - Iter [18300/80000] lr: 1.107e-06, eta: 1 day, 9:44:53, time: 1.848, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4402, decode.loss_mask: 0.6219, decode.loss_dice: 0.8572, decode.d0.loss_cls: 1.4583, decode.d0.loss_mask: 0.6709, decode.d0.loss_dice: 0.9818, decode.d1.loss_cls: 0.5339, decode.d1.loss_mask: 0.6510, decode.d1.loss_dice: 0.9225, decode.d2.loss_cls: 0.4777, decode.d2.loss_mask: 0.6370, decode.d2.loss_dice: 0.8892, decode.d3.loss_cls: 0.4542, decode.d3.loss_mask: 0.6314, decode.d3.loss_dice: 0.8769, decode.d4.loss_cls: 0.4550, decode.d4.loss_mask: 0.6273, decode.d4.loss_dice: 0.8730, decode.d5.loss_cls: 0.4448, decode.d5.loss_mask: 0.6239, decode.d5.loss_dice: 0.8705, decode.d6.loss_cls: 0.4416, decode.d6.loss_mask: 0.6207, decode.d6.loss_dice: 0.8606, decode.d7.loss_cls: 0.4362, decode.d7.loss_mask: 0.6198, decode.d7.loss_dice: 0.8672, decode.d8.loss_cls: 0.4372, decode.d8.loss_mask: 0.6217, decode.d8.loss_dice: 0.8605, loss: 20.7642 2022-05-01 01:47:20,162 - mmseg - INFO - Iter [18350/80000] lr: 1.106e-06, eta: 1 day, 9:42:56, time: 1.859, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4503, decode.loss_mask: 0.6099, decode.loss_dice: 0.8663, decode.d0.loss_cls: 1.4805, decode.d0.loss_mask: 0.6542, decode.d0.loss_dice: 0.9925, decode.d1.loss_cls: 0.5426, decode.d1.loss_mask: 0.6376, decode.d1.loss_dice: 0.9351, decode.d2.loss_cls: 0.5048, decode.d2.loss_mask: 0.6181, decode.d2.loss_dice: 0.9034, decode.d3.loss_cls: 0.4713, decode.d3.loss_mask: 0.6143, decode.d3.loss_dice: 0.8817, decode.d4.loss_cls: 0.4654, decode.d4.loss_mask: 0.6126, decode.d4.loss_dice: 0.8759, decode.d5.loss_cls: 0.4635, decode.d5.loss_mask: 0.6101, decode.d5.loss_dice: 0.8795, decode.d6.loss_cls: 0.4597, decode.d6.loss_mask: 0.6051, decode.d6.loss_dice: 0.8676, decode.d7.loss_cls: 0.4574, decode.d7.loss_mask: 0.6062, decode.d7.loss_dice: 0.8691, decode.d8.loss_cls: 0.4488, decode.d8.loss_mask: 0.6112, decode.d8.loss_dice: 0.8723, loss: 20.8670 2022-05-01 01:48:53,664 - mmseg - INFO - Iter [18400/80000] lr: 1.106e-06, eta: 1 day, 9:41:01, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4497, decode.loss_mask: 0.5761, decode.loss_dice: 0.8572, decode.d0.loss_cls: 1.5088, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9799, decode.d1.loss_cls: 0.5366, decode.d1.loss_mask: 0.6056, decode.d1.loss_dice: 0.9267, decode.d2.loss_cls: 0.4903, decode.d2.loss_mask: 0.5913, decode.d2.loss_dice: 0.8846, decode.d3.loss_cls: 0.4705, decode.d3.loss_mask: 0.5832, decode.d3.loss_dice: 0.8724, decode.d4.loss_cls: 0.4613, decode.d4.loss_mask: 0.5825, decode.d4.loss_dice: 0.8669, decode.d5.loss_cls: 0.4585, decode.d5.loss_mask: 0.5782, decode.d5.loss_dice: 0.8701, decode.d6.loss_cls: 0.4505, decode.d6.loss_mask: 0.5770, decode.d6.loss_dice: 0.8604, decode.d7.loss_cls: 0.4498, decode.d7.loss_mask: 0.5765, decode.d7.loss_dice: 0.8570, decode.d8.loss_cls: 0.4526, decode.d8.loss_mask: 0.5758, decode.d8.loss_dice: 0.8550, loss: 20.4220 2022-05-01 01:50:26,981 - mmseg - INFO - Iter [18450/80000] lr: 1.105e-06, eta: 1 day, 9:39:05, time: 1.865, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4632, decode.loss_mask: 0.5833, decode.loss_dice: 0.8577, decode.d0.loss_cls: 1.5078, decode.d0.loss_mask: 0.6328, decode.d0.loss_dice: 0.9931, decode.d1.loss_cls: 0.5551, decode.d1.loss_mask: 0.6190, decode.d1.loss_dice: 0.9342, decode.d2.loss_cls: 0.5042, decode.d2.loss_mask: 0.5945, decode.d2.loss_dice: 0.8921, decode.d3.loss_cls: 0.4839, decode.d3.loss_mask: 0.5872, decode.d3.loss_dice: 0.8733, decode.d4.loss_cls: 0.4763, decode.d4.loss_mask: 0.5846, decode.d4.loss_dice: 0.8687, decode.d5.loss_cls: 0.4678, decode.d5.loss_mask: 0.5857, decode.d5.loss_dice: 0.8685, decode.d6.loss_cls: 0.4747, decode.d6.loss_mask: 0.5819, decode.d6.loss_dice: 0.8569, decode.d7.loss_cls: 0.4632, decode.d7.loss_mask: 0.5838, decode.d7.loss_dice: 0.8656, decode.d8.loss_cls: 0.4654, decode.d8.loss_mask: 0.5815, decode.d8.loss_dice: 0.8617, loss: 20.6676 2022-05-01 01:51:59,875 - mmseg - INFO - Iter [18500/80000] lr: 1.104e-06, eta: 1 day, 9:37:09, time: 1.859, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4432, decode.loss_mask: 0.5866, decode.loss_dice: 0.8663, decode.d0.loss_cls: 1.4886, decode.d0.loss_mask: 0.6386, decode.d0.loss_dice: 0.9838, decode.d1.loss_cls: 0.5397, decode.d1.loss_mask: 0.6194, decode.d1.loss_dice: 0.9421, decode.d2.loss_cls: 0.4862, decode.d2.loss_mask: 0.6093, decode.d2.loss_dice: 0.8927, decode.d3.loss_cls: 0.4674, decode.d3.loss_mask: 0.5972, decode.d3.loss_dice: 0.8741, decode.d4.loss_cls: 0.4669, decode.d4.loss_mask: 0.5889, decode.d4.loss_dice: 0.8728, decode.d5.loss_cls: 0.4614, decode.d5.loss_mask: 0.5910, decode.d5.loss_dice: 0.8669, decode.d6.loss_cls: 0.4573, decode.d6.loss_mask: 0.5880, decode.d6.loss_dice: 0.8588, decode.d7.loss_cls: 0.4521, decode.d7.loss_mask: 0.5884, decode.d7.loss_dice: 0.8587, decode.d8.loss_cls: 0.4460, decode.d8.loss_mask: 0.5873, decode.d8.loss_dice: 0.8638, loss: 20.5833 2022-05-01 01:53:33,831 - mmseg - INFO - Iter [18550/80000] lr: 1.103e-06, eta: 1 day, 9:35:16, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4330, decode.loss_mask: 0.5742, decode.loss_dice: 0.8422, decode.d0.loss_cls: 1.4947, decode.d0.loss_mask: 0.6112, decode.d0.loss_dice: 0.9794, decode.d1.loss_cls: 0.5292, decode.d1.loss_mask: 0.6006, decode.d1.loss_dice: 0.9152, decode.d2.loss_cls: 0.4789, decode.d2.loss_mask: 0.5875, decode.d2.loss_dice: 0.8706, decode.d3.loss_cls: 0.4626, decode.d3.loss_mask: 0.5752, decode.d3.loss_dice: 0.8580, decode.d4.loss_cls: 0.4515, decode.d4.loss_mask: 0.5746, decode.d4.loss_dice: 0.8620, decode.d5.loss_cls: 0.4429, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8623, decode.d6.loss_cls: 0.4414, decode.d6.loss_mask: 0.5680, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.4386, decode.d7.loss_mask: 0.5708, decode.d7.loss_dice: 0.8471, decode.d8.loss_cls: 0.4321, decode.d8.loss_mask: 0.5741, decode.d8.loss_dice: 0.8498, loss: 20.1490 2022-05-01 01:55:05,852 - mmseg - INFO - Iter [18600/80000] lr: 1.102e-06, eta: 1 day, 9:33:16, time: 1.839, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4560, decode.loss_mask: 0.6091, decode.loss_dice: 0.8792, decode.d0.loss_cls: 1.5207, decode.d0.loss_mask: 0.6568, decode.d0.loss_dice: 1.0071, decode.d1.loss_cls: 0.5466, decode.d1.loss_mask: 0.6418, decode.d1.loss_dice: 0.9507, decode.d2.loss_cls: 0.4935, decode.d2.loss_mask: 0.6218, decode.d2.loss_dice: 0.9113, decode.d3.loss_cls: 0.4744, decode.d3.loss_mask: 0.6152, decode.d3.loss_dice: 0.8930, decode.d4.loss_cls: 0.4659, decode.d4.loss_mask: 0.6151, decode.d4.loss_dice: 0.8921, decode.d5.loss_cls: 0.4630, decode.d5.loss_mask: 0.6104, decode.d5.loss_dice: 0.8892, decode.d6.loss_cls: 0.4607, decode.d6.loss_mask: 0.6106, decode.d6.loss_dice: 0.8771, decode.d7.loss_cls: 0.4585, decode.d7.loss_mask: 0.6106, decode.d7.loss_dice: 0.8799, decode.d8.loss_cls: 0.4570, decode.d8.loss_mask: 0.6081, decode.d8.loss_dice: 0.8812, loss: 21.0567 2022-05-01 01:56:39,790 - mmseg - INFO - Iter [18650/80000] lr: 1.101e-06, eta: 1 day, 9:31:23, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4573, decode.loss_mask: 0.5975, decode.loss_dice: 0.8840, decode.d0.loss_cls: 1.5036, decode.d0.loss_mask: 0.6506, decode.d0.loss_dice: 1.0187, decode.d1.loss_cls: 0.5528, decode.d1.loss_mask: 0.6249, decode.d1.loss_dice: 0.9485, decode.d2.loss_cls: 0.5021, decode.d2.loss_mask: 0.6116, decode.d2.loss_dice: 0.9108, decode.d3.loss_cls: 0.4781, decode.d3.loss_mask: 0.6026, decode.d3.loss_dice: 0.8993, decode.d4.loss_cls: 0.4722, decode.d4.loss_mask: 0.6070, decode.d4.loss_dice: 0.8979, decode.d5.loss_cls: 0.4685, decode.d5.loss_mask: 0.5976, decode.d5.loss_dice: 0.8955, decode.d6.loss_cls: 0.4659, decode.d6.loss_mask: 0.5978, decode.d6.loss_dice: 0.8856, decode.d7.loss_cls: 0.4642, decode.d7.loss_mask: 0.5959, decode.d7.loss_dice: 0.8814, decode.d8.loss_cls: 0.4584, decode.d8.loss_mask: 0.5998, decode.d8.loss_dice: 0.8867, loss: 21.0165 2022-05-01 01:58:11,686 - mmseg - INFO - Iter [18700/80000] lr: 1.100e-06, eta: 1 day, 9:29:23, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4231, decode.loss_mask: 0.6093, decode.loss_dice: 0.8698, decode.d0.loss_cls: 1.4841, decode.d0.loss_mask: 0.6609, decode.d0.loss_dice: 0.9878, decode.d1.loss_cls: 0.5110, decode.d1.loss_mask: 0.6390, decode.d1.loss_dice: 0.9382, decode.d2.loss_cls: 0.4614, decode.d2.loss_mask: 0.6163, decode.d2.loss_dice: 0.9011, decode.d3.loss_cls: 0.4375, decode.d3.loss_mask: 0.6113, decode.d3.loss_dice: 0.8785, decode.d4.loss_cls: 0.4358, decode.d4.loss_mask: 0.6099, decode.d4.loss_dice: 0.8770, decode.d5.loss_cls: 0.4323, decode.d5.loss_mask: 0.6113, decode.d5.loss_dice: 0.8774, decode.d6.loss_cls: 0.4262, decode.d6.loss_mask: 0.6086, decode.d6.loss_dice: 0.8699, decode.d7.loss_cls: 0.4249, decode.d7.loss_mask: 0.6113, decode.d7.loss_dice: 0.8714, decode.d8.loss_cls: 0.4201, decode.d8.loss_mask: 0.6073, decode.d8.loss_dice: 0.8722, loss: 20.5847 2022-05-01 01:59:46,338 - mmseg - INFO - Iter [18750/80000] lr: 1.099e-06, eta: 1 day, 9:27:33, time: 1.894, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4155, decode.loss_mask: 0.6107, decode.loss_dice: 0.8626, decode.d0.loss_cls: 1.4496, decode.d0.loss_mask: 0.6641, decode.d0.loss_dice: 0.9920, decode.d1.loss_cls: 0.4943, decode.d1.loss_mask: 0.6437, decode.d1.loss_dice: 0.9412, decode.d2.loss_cls: 0.4581, decode.d2.loss_mask: 0.6266, decode.d2.loss_dice: 0.8999, decode.d3.loss_cls: 0.4380, decode.d3.loss_mask: 0.6182, decode.d3.loss_dice: 0.8795, decode.d4.loss_cls: 0.4316, decode.d4.loss_mask: 0.6154, decode.d4.loss_dice: 0.8750, decode.d5.loss_cls: 0.4214, decode.d5.loss_mask: 0.6122, decode.d5.loss_dice: 0.8747, decode.d6.loss_cls: 0.4191, decode.d6.loss_mask: 0.6104, decode.d6.loss_dice: 0.8662, decode.d7.loss_cls: 0.4134, decode.d7.loss_mask: 0.6093, decode.d7.loss_dice: 0.8632, decode.d8.loss_cls: 0.4111, decode.d8.loss_mask: 0.6140, decode.d8.loss_dice: 0.8615, loss: 20.4923 2022-05-01 02:01:24,474 - mmseg - INFO - Iter [18800/80000] lr: 1.098e-06, eta: 1 day, 9:25:54, time: 1.964, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4497, decode.loss_mask: 0.5795, decode.loss_dice: 0.8599, decode.d0.loss_cls: 1.4706, decode.d0.loss_mask: 0.6230, decode.d0.loss_dice: 0.9783, decode.d1.loss_cls: 0.5388, decode.d1.loss_mask: 0.6101, decode.d1.loss_dice: 0.9291, decode.d2.loss_cls: 0.4903, decode.d2.loss_mask: 0.5888, decode.d2.loss_dice: 0.8909, decode.d3.loss_cls: 0.4667, decode.d3.loss_mask: 0.5816, decode.d3.loss_dice: 0.8742, decode.d4.loss_cls: 0.4623, decode.d4.loss_mask: 0.5802, decode.d4.loss_dice: 0.8703, decode.d5.loss_cls: 0.4600, decode.d5.loss_mask: 0.5793, decode.d5.loss_dice: 0.8643, decode.d6.loss_cls: 0.4486, decode.d6.loss_mask: 0.5762, decode.d6.loss_dice: 0.8551, decode.d7.loss_cls: 0.4468, decode.d7.loss_mask: 0.5781, decode.d7.loss_dice: 0.8587, decode.d8.loss_cls: 0.4504, decode.d8.loss_mask: 0.5796, decode.d8.loss_dice: 0.8627, loss: 20.4039 2022-05-01 02:02:59,403 - mmseg - INFO - Iter [18850/80000] lr: 1.098e-06, eta: 1 day, 9:24:05, time: 1.899, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4518, decode.loss_mask: 0.5924, decode.loss_dice: 0.8697, decode.d0.loss_cls: 1.5290, decode.d0.loss_mask: 0.6367, decode.d0.loss_dice: 0.9996, decode.d1.loss_cls: 0.5497, decode.d1.loss_mask: 0.6194, decode.d1.loss_dice: 0.9483, decode.d2.loss_cls: 0.4900, decode.d2.loss_mask: 0.6137, decode.d2.loss_dice: 0.9087, decode.d3.loss_cls: 0.4743, decode.d3.loss_mask: 0.6020, decode.d3.loss_dice: 0.8883, decode.d4.loss_cls: 0.4689, decode.d4.loss_mask: 0.5992, decode.d4.loss_dice: 0.8885, decode.d5.loss_cls: 0.4624, decode.d5.loss_mask: 0.5971, decode.d5.loss_dice: 0.8790, decode.d6.loss_cls: 0.4600, decode.d6.loss_mask: 0.5919, decode.d6.loss_dice: 0.8749, decode.d7.loss_cls: 0.4567, decode.d7.loss_mask: 0.5942, decode.d7.loss_dice: 0.8724, decode.d8.loss_cls: 0.4508, decode.d8.loss_mask: 0.5917, decode.d8.loss_dice: 0.8708, loss: 20.8321 2022-05-01 02:04:32,807 - mmseg - INFO - Iter [18900/80000] lr: 1.097e-06, eta: 1 day, 9:22:11, time: 1.867, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4444, decode.loss_mask: 0.5994, decode.loss_dice: 0.8785, decode.d0.loss_cls: 1.5103, decode.d0.loss_mask: 0.6536, decode.d0.loss_dice: 1.0053, decode.d1.loss_cls: 0.5425, decode.d1.loss_mask: 0.6351, decode.d1.loss_dice: 0.9571, decode.d2.loss_cls: 0.4884, decode.d2.loss_mask: 0.6111, decode.d2.loss_dice: 0.9096, decode.d3.loss_cls: 0.4716, decode.d3.loss_mask: 0.6012, decode.d3.loss_dice: 0.8839, decode.d4.loss_cls: 0.4652, decode.d4.loss_mask: 0.5974, decode.d4.loss_dice: 0.8863, decode.d5.loss_cls: 0.4507, decode.d5.loss_mask: 0.5988, decode.d5.loss_dice: 0.8885, decode.d6.loss_cls: 0.4452, decode.d6.loss_mask: 0.5994, decode.d6.loss_dice: 0.8792, decode.d7.loss_cls: 0.4489, decode.d7.loss_mask: 0.5973, decode.d7.loss_dice: 0.8795, decode.d8.loss_cls: 0.4437, decode.d8.loss_mask: 0.5979, decode.d8.loss_dice: 0.8811, loss: 20.8510 2022-05-01 02:06:07,973 - mmseg - INFO - Iter [18950/80000] lr: 1.096e-06, eta: 1 day, 9:20:22, time: 1.904, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4293, decode.loss_mask: 0.5802, decode.loss_dice: 0.8336, decode.d0.loss_cls: 1.4544, decode.d0.loss_mask: 0.6356, decode.d0.loss_dice: 0.9596, decode.d1.loss_cls: 0.5173, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.9047, decode.d2.loss_cls: 0.4729, decode.d2.loss_mask: 0.5896, decode.d2.loss_dice: 0.8665, decode.d3.loss_cls: 0.4447, decode.d3.loss_mask: 0.5862, decode.d3.loss_dice: 0.8456, decode.d4.loss_cls: 0.4402, decode.d4.loss_mask: 0.5865, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.4311, decode.d5.loss_mask: 0.5868, decode.d5.loss_dice: 0.8443, decode.d6.loss_cls: 0.4299, decode.d6.loss_mask: 0.5839, decode.d6.loss_dice: 0.8321, decode.d7.loss_cls: 0.4268, decode.d7.loss_mask: 0.5825, decode.d7.loss_dice: 0.8370, decode.d8.loss_cls: 0.4231, decode.d8.loss_mask: 0.5827, decode.d8.loss_dice: 0.8343, loss: 19.9971 2022-05-01 02:07:44,540 - mmseg - INFO - Saving checkpoint at 19000 iterations 2022-05-01 02:08:16,026 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 02:08:16,056 - mmseg - INFO - Iter [19000/80000] lr: 1.095e-06, eta: 1 day, 9:20:19, time: 2.558, data_time: 0.064, memory: 64716, decode.loss_cls: 0.4249, decode.loss_mask: 0.6076, decode.loss_dice: 0.8730, decode.d0.loss_cls: 1.4757, decode.d0.loss_mask: 0.6610, decode.d0.loss_dice: 1.0018, decode.d1.loss_cls: 0.5208, decode.d1.loss_mask: 0.6358, decode.d1.loss_dice: 0.9499, decode.d2.loss_cls: 0.4620, decode.d2.loss_mask: 0.6202, decode.d2.loss_dice: 0.9011, decode.d3.loss_cls: 0.4517, decode.d3.loss_mask: 0.6117, decode.d3.loss_dice: 0.8806, decode.d4.loss_cls: 0.4428, decode.d4.loss_mask: 0.6110, decode.d4.loss_dice: 0.8854, decode.d5.loss_cls: 0.4310, decode.d5.loss_mask: 0.6086, decode.d5.loss_dice: 0.8835, decode.d6.loss_cls: 0.4295, decode.d6.loss_mask: 0.6102, decode.d6.loss_dice: 0.8732, decode.d7.loss_cls: 0.4252, decode.d7.loss_mask: 0.6076, decode.d7.loss_dice: 0.8718, decode.d8.loss_cls: 0.4186, decode.d8.loss_mask: 0.6097, decode.d8.loss_dice: 0.8737, loss: 20.6598 2022-05-01 02:09:51,315 - mmseg - INFO - Iter [19050/80000] lr: 1.094e-06, eta: 1 day, 9:18:31, time: 1.908, data_time: 0.019, memory: 64716, decode.loss_cls: 0.4396, decode.loss_mask: 0.6044, decode.loss_dice: 0.8586, decode.d0.loss_cls: 1.5207, decode.d0.loss_mask: 0.6493, decode.d0.loss_dice: 0.9996, decode.d1.loss_cls: 0.5355, decode.d1.loss_mask: 0.6269, decode.d1.loss_dice: 0.9305, decode.d2.loss_cls: 0.4810, decode.d2.loss_mask: 0.6132, decode.d2.loss_dice: 0.8861, decode.d3.loss_cls: 0.4563, decode.d3.loss_mask: 0.6084, decode.d3.loss_dice: 0.8672, decode.d4.loss_cls: 0.4513, decode.d4.loss_mask: 0.6051, decode.d4.loss_dice: 0.8676, decode.d5.loss_cls: 0.4449, decode.d5.loss_mask: 0.6041, decode.d5.loss_dice: 0.8585, decode.d6.loss_cls: 0.4461, decode.d6.loss_mask: 0.6026, decode.d6.loss_dice: 0.8511, decode.d7.loss_cls: 0.4447, decode.d7.loss_mask: 0.6039, decode.d7.loss_dice: 0.8577, decode.d8.loss_cls: 0.4416, decode.d8.loss_mask: 0.6036, decode.d8.loss_dice: 0.8517, loss: 20.6116 2022-05-01 02:11:25,522 - mmseg - INFO - Iter [19100/80000] lr: 1.093e-06, eta: 1 day, 9:16:40, time: 1.885, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4183, decode.loss_mask: 0.5722, decode.loss_dice: 0.8237, decode.d0.loss_cls: 1.4638, decode.d0.loss_mask: 0.6206, decode.d0.loss_dice: 0.9478, decode.d1.loss_cls: 0.5017, decode.d1.loss_mask: 0.6018, decode.d1.loss_dice: 0.8928, decode.d2.loss_cls: 0.4487, decode.d2.loss_mask: 0.5846, decode.d2.loss_dice: 0.8645, decode.d3.loss_cls: 0.4382, decode.d3.loss_mask: 0.5805, decode.d3.loss_dice: 0.8379, decode.d4.loss_cls: 0.4320, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8332, decode.d5.loss_cls: 0.4243, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8382, decode.d6.loss_cls: 0.4248, decode.d6.loss_mask: 0.5714, decode.d6.loss_dice: 0.8330, decode.d7.loss_cls: 0.4256, decode.d7.loss_mask: 0.5701, decode.d7.loss_dice: 0.8317, decode.d8.loss_cls: 0.4188, decode.d8.loss_mask: 0.5702, decode.d8.loss_dice: 0.8298, loss: 19.7520 2022-05-01 02:12:59,684 - mmseg - INFO - Iter [19150/80000] lr: 1.092e-06, eta: 1 day, 9:14:48, time: 1.883, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4141, decode.loss_mask: 0.5754, decode.loss_dice: 0.8262, decode.d0.loss_cls: 1.4720, decode.d0.loss_mask: 0.6167, decode.d0.loss_dice: 0.9508, decode.d1.loss_cls: 0.5176, decode.d1.loss_mask: 0.5997, decode.d1.loss_dice: 0.8932, decode.d2.loss_cls: 0.4593, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8519, decode.d3.loss_cls: 0.4379, decode.d3.loss_mask: 0.5781, decode.d3.loss_dice: 0.8372, decode.d4.loss_cls: 0.4298, decode.d4.loss_mask: 0.5779, decode.d4.loss_dice: 0.8355, decode.d5.loss_cls: 0.4273, decode.d5.loss_mask: 0.5794, decode.d5.loss_dice: 0.8303, decode.d6.loss_cls: 0.4248, decode.d6.loss_mask: 0.5741, decode.d6.loss_dice: 0.8239, decode.d7.loss_cls: 0.4222, decode.d7.loss_mask: 0.5733, decode.d7.loss_dice: 0.8261, decode.d8.loss_cls: 0.4203, decode.d8.loss_mask: 0.5745, decode.d8.loss_dice: 0.8265, loss: 19.7585 2022-05-01 02:14:34,852 - mmseg - INFO - Iter [19200/80000] lr: 1.091e-06, eta: 1 day, 9:12:59, time: 1.903, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4494, decode.loss_mask: 0.6005, decode.loss_dice: 0.8653, decode.d0.loss_cls: 1.4927, decode.d0.loss_mask: 0.6534, decode.d0.loss_dice: 0.9952, decode.d1.loss_cls: 0.5282, decode.d1.loss_mask: 0.6321, decode.d1.loss_dice: 0.9422, decode.d2.loss_cls: 0.4812, decode.d2.loss_mask: 0.6142, decode.d2.loss_dice: 0.9025, decode.d3.loss_cls: 0.4603, decode.d3.loss_mask: 0.6036, decode.d3.loss_dice: 0.8866, decode.d4.loss_cls: 0.4477, decode.d4.loss_mask: 0.6019, decode.d4.loss_dice: 0.8911, decode.d5.loss_cls: 0.4488, decode.d5.loss_mask: 0.5998, decode.d5.loss_dice: 0.8816, decode.d6.loss_cls: 0.4482, decode.d6.loss_mask: 0.5980, decode.d6.loss_dice: 0.8646, decode.d7.loss_cls: 0.4463, decode.d7.loss_mask: 0.6003, decode.d7.loss_dice: 0.8692, decode.d8.loss_cls: 0.4487, decode.d8.loss_mask: 0.6008, decode.d8.loss_dice: 0.8697, loss: 20.7240 2022-05-01 02:16:10,311 - mmseg - INFO - Iter [19250/80000] lr: 1.090e-06, eta: 1 day, 9:11:12, time: 1.910, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4283, decode.loss_mask: 0.6062, decode.loss_dice: 0.8780, decode.d0.loss_cls: 1.4813, decode.d0.loss_mask: 0.6596, decode.d0.loss_dice: 1.0114, decode.d1.loss_cls: 0.5203, decode.d1.loss_mask: 0.6347, decode.d1.loss_dice: 0.9472, decode.d2.loss_cls: 0.4655, decode.d2.loss_mask: 0.6160, decode.d2.loss_dice: 0.9050, decode.d3.loss_cls: 0.4483, decode.d3.loss_mask: 0.6111, decode.d3.loss_dice: 0.8832, decode.d4.loss_cls: 0.4428, decode.d4.loss_mask: 0.6080, decode.d4.loss_dice: 0.8848, decode.d5.loss_cls: 0.4336, decode.d5.loss_mask: 0.6094, decode.d5.loss_dice: 0.8870, decode.d6.loss_cls: 0.4315, decode.d6.loss_mask: 0.6096, decode.d6.loss_dice: 0.8747, decode.d7.loss_cls: 0.4326, decode.d7.loss_mask: 0.6058, decode.d7.loss_dice: 0.8742, decode.d8.loss_cls: 0.4261, decode.d8.loss_mask: 0.6066, decode.d8.loss_dice: 0.8790, loss: 20.7019 2022-05-01 02:17:45,568 - mmseg - INFO - Iter [19300/80000] lr: 1.089e-06, eta: 1 day, 9:09:24, time: 1.904, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4206, decode.loss_mask: 0.6005, decode.loss_dice: 0.8479, decode.d0.loss_cls: 1.4442, decode.d0.loss_mask: 0.6486, decode.d0.loss_dice: 0.9717, decode.d1.loss_cls: 0.5056, decode.d1.loss_mask: 0.6294, decode.d1.loss_dice: 0.9166, decode.d2.loss_cls: 0.4630, decode.d2.loss_mask: 0.6170, decode.d2.loss_dice: 0.8821, decode.d3.loss_cls: 0.4510, decode.d3.loss_mask: 0.6045, decode.d3.loss_dice: 0.8615, decode.d4.loss_cls: 0.4370, decode.d4.loss_mask: 0.6066, decode.d4.loss_dice: 0.8611, decode.d5.loss_cls: 0.4285, decode.d5.loss_mask: 0.6039, decode.d5.loss_dice: 0.8601, decode.d6.loss_cls: 0.4269, decode.d6.loss_mask: 0.6042, decode.d6.loss_dice: 0.8519, decode.d7.loss_cls: 0.4216, decode.d7.loss_mask: 0.6025, decode.d7.loss_dice: 0.8538, decode.d8.loss_cls: 0.4197, decode.d8.loss_mask: 0.6034, decode.d8.loss_dice: 0.8478, loss: 20.2930 2022-05-01 02:19:18,871 - mmseg - INFO - Iter [19350/80000] lr: 1.089e-06, eta: 1 day, 9:07:30, time: 1.866, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4325, decode.loss_mask: 0.5879, decode.loss_dice: 0.8488, decode.d0.loss_cls: 1.4790, decode.d0.loss_mask: 0.6442, decode.d0.loss_dice: 0.9784, decode.d1.loss_cls: 0.5327, decode.d1.loss_mask: 0.6240, decode.d1.loss_dice: 0.9192, decode.d2.loss_cls: 0.4658, decode.d2.loss_mask: 0.6022, decode.d2.loss_dice: 0.8738, decode.d3.loss_cls: 0.4488, decode.d3.loss_mask: 0.5920, decode.d3.loss_dice: 0.8579, decode.d4.loss_cls: 0.4464, decode.d4.loss_mask: 0.5902, decode.d4.loss_dice: 0.8540, decode.d5.loss_cls: 0.4423, decode.d5.loss_mask: 0.5893, decode.d5.loss_dice: 0.8540, decode.d6.loss_cls: 0.4368, decode.d6.loss_mask: 0.5881, decode.d6.loss_dice: 0.8474, decode.d7.loss_cls: 0.4318, decode.d7.loss_mask: 0.5897, decode.d7.loss_dice: 0.8475, decode.d8.loss_cls: 0.4361, decode.d8.loss_mask: 0.5900, decode.d8.loss_dice: 0.8465, loss: 20.2772 2022-05-01 02:20:54,733 - mmseg - INFO - Iter [19400/80000] lr: 1.088e-06, eta: 1 day, 9:05:44, time: 1.917, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4240, decode.loss_mask: 0.5793, decode.loss_dice: 0.8503, decode.d0.loss_cls: 1.4629, decode.d0.loss_mask: 0.6284, decode.d0.loss_dice: 0.9639, decode.d1.loss_cls: 0.5090, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.9174, decode.d2.loss_cls: 0.4649, decode.d2.loss_mask: 0.5910, decode.d2.loss_dice: 0.8791, decode.d3.loss_cls: 0.4453, decode.d3.loss_mask: 0.5820, decode.d3.loss_dice: 0.8606, decode.d4.loss_cls: 0.4376, decode.d4.loss_mask: 0.5854, decode.d4.loss_dice: 0.8570, decode.d5.loss_cls: 0.4331, decode.d5.loss_mask: 0.5861, decode.d5.loss_dice: 0.8543, decode.d6.loss_cls: 0.4288, decode.d6.loss_mask: 0.5817, decode.d6.loss_dice: 0.8497, decode.d7.loss_cls: 0.4286, decode.d7.loss_mask: 0.5830, decode.d7.loss_dice: 0.8489, decode.d8.loss_cls: 0.4311, decode.d8.loss_mask: 0.5838, decode.d8.loss_dice: 0.8471, loss: 20.1052 2022-05-01 02:22:28,774 - mmseg - INFO - Iter [19450/80000] lr: 1.087e-06, eta: 1 day, 9:03:52, time: 1.881, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4484, decode.loss_mask: 0.5999, decode.loss_dice: 0.8696, decode.d0.loss_cls: 1.4948, decode.d0.loss_mask: 0.6484, decode.d0.loss_dice: 0.9911, decode.d1.loss_cls: 0.5379, decode.d1.loss_mask: 0.6299, decode.d1.loss_dice: 0.9451, decode.d2.loss_cls: 0.4912, decode.d2.loss_mask: 0.6146, decode.d2.loss_dice: 0.9052, decode.d3.loss_cls: 0.4759, decode.d3.loss_mask: 0.6025, decode.d3.loss_dice: 0.8822, decode.d4.loss_cls: 0.4653, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8796, decode.d5.loss_cls: 0.4598, decode.d5.loss_mask: 0.5983, decode.d5.loss_dice: 0.8774, decode.d6.loss_cls: 0.4525, decode.d6.loss_mask: 0.5985, decode.d6.loss_dice: 0.8705, decode.d7.loss_cls: 0.4502, decode.d7.loss_mask: 0.5994, decode.d7.loss_dice: 0.8710, decode.d8.loss_cls: 0.4537, decode.d8.loss_mask: 0.6007, decode.d8.loss_dice: 0.8751, loss: 20.7864 2022-05-01 02:24:02,706 - mmseg - INFO - Iter [19500/80000] lr: 1.086e-06, eta: 1 day, 9:02:01, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4172, decode.loss_mask: 0.6209, decode.loss_dice: 0.8518, decode.d0.loss_cls: 1.4455, decode.d0.loss_mask: 0.6656, decode.d0.loss_dice: 0.9779, decode.d1.loss_cls: 0.5180, decode.d1.loss_mask: 0.6464, decode.d1.loss_dice: 0.9238, decode.d2.loss_cls: 0.4620, decode.d2.loss_mask: 0.6311, decode.d2.loss_dice: 0.8894, decode.d3.loss_cls: 0.4380, decode.d3.loss_mask: 0.6219, decode.d3.loss_dice: 0.8683, decode.d4.loss_cls: 0.4228, decode.d4.loss_mask: 0.6232, decode.d4.loss_dice: 0.8627, decode.d5.loss_cls: 0.4249, decode.d5.loss_mask: 0.6221, decode.d5.loss_dice: 0.8648, decode.d6.loss_cls: 0.4215, decode.d6.loss_mask: 0.6187, decode.d6.loss_dice: 0.8494, decode.d7.loss_cls: 0.4123, decode.d7.loss_mask: 0.6213, decode.d7.loss_dice: 0.8566, decode.d8.loss_cls: 0.4149, decode.d8.loss_mask: 0.6220, decode.d8.loss_dice: 0.8608, loss: 20.4758 2022-05-01 02:25:35,665 - mmseg - INFO - Iter [19550/80000] lr: 1.085e-06, eta: 1 day, 9:00:06, time: 1.858, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4489, decode.loss_mask: 0.5944, decode.loss_dice: 0.8612, decode.d0.loss_cls: 1.5106, decode.d0.loss_mask: 0.6528, decode.d0.loss_dice: 0.9813, decode.d1.loss_cls: 0.5386, decode.d1.loss_mask: 0.6277, decode.d1.loss_dice: 0.9384, decode.d2.loss_cls: 0.4845, decode.d2.loss_mask: 0.6126, decode.d2.loss_dice: 0.8999, decode.d3.loss_cls: 0.4634, decode.d3.loss_mask: 0.6020, decode.d3.loss_dice: 0.8836, decode.d4.loss_cls: 0.4620, decode.d4.loss_mask: 0.6008, decode.d4.loss_dice: 0.8721, decode.d5.loss_cls: 0.4557, decode.d5.loss_mask: 0.5990, decode.d5.loss_dice: 0.8748, decode.d6.loss_cls: 0.4500, decode.d6.loss_mask: 0.5957, decode.d6.loss_dice: 0.8681, decode.d7.loss_cls: 0.4513, decode.d7.loss_mask: 0.5973, decode.d7.loss_dice: 0.8666, decode.d8.loss_cls: 0.4474, decode.d8.loss_mask: 0.5946, decode.d8.loss_dice: 0.8692, loss: 20.7045 2022-05-01 02:27:10,489 - mmseg - INFO - Iter [19600/80000] lr: 1.084e-06, eta: 1 day, 8:58:17, time: 1.895, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4204, decode.loss_mask: 0.5941, decode.loss_dice: 0.8363, decode.d0.loss_cls: 1.4643, decode.d0.loss_mask: 0.6397, decode.d0.loss_dice: 0.9727, decode.d1.loss_cls: 0.5301, decode.d1.loss_mask: 0.6184, decode.d1.loss_dice: 0.9074, decode.d2.loss_cls: 0.4718, decode.d2.loss_mask: 0.6004, decode.d2.loss_dice: 0.8735, decode.d3.loss_cls: 0.4465, decode.d3.loss_mask: 0.6033, decode.d3.loss_dice: 0.8534, decode.d4.loss_cls: 0.4403, decode.d4.loss_mask: 0.6003, decode.d4.loss_dice: 0.8472, decode.d5.loss_cls: 0.4377, decode.d5.loss_mask: 0.5991, decode.d5.loss_dice: 0.8406, decode.d6.loss_cls: 0.4298, decode.d6.loss_mask: 0.5955, decode.d6.loss_dice: 0.8358, decode.d7.loss_cls: 0.4233, decode.d7.loss_mask: 0.5922, decode.d7.loss_dice: 0.8393, decode.d8.loss_cls: 0.4232, decode.d8.loss_mask: 0.5925, decode.d8.loss_dice: 0.8398, loss: 20.1691 2022-05-01 02:28:44,868 - mmseg - INFO - Iter [19650/80000] lr: 1.083e-06, eta: 1 day, 8:56:27, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4285, decode.loss_mask: 0.5992, decode.loss_dice: 0.8680, decode.d0.loss_cls: 1.4617, decode.d0.loss_mask: 0.6435, decode.d0.loss_dice: 0.9879, decode.d1.loss_cls: 0.5143, decode.d1.loss_mask: 0.6226, decode.d1.loss_dice: 0.9278, decode.d2.loss_cls: 0.4661, decode.d2.loss_mask: 0.6087, decode.d2.loss_dice: 0.8929, decode.d3.loss_cls: 0.4453, decode.d3.loss_mask: 0.6033, decode.d3.loss_dice: 0.8840, decode.d4.loss_cls: 0.4404, decode.d4.loss_mask: 0.5997, decode.d4.loss_dice: 0.8808, decode.d5.loss_cls: 0.4378, decode.d5.loss_mask: 0.5982, decode.d5.loss_dice: 0.8775, decode.d6.loss_cls: 0.4297, decode.d6.loss_mask: 0.5966, decode.d6.loss_dice: 0.8659, decode.d7.loss_cls: 0.4270, decode.d7.loss_mask: 0.5969, decode.d7.loss_dice: 0.8683, decode.d8.loss_cls: 0.4275, decode.d8.loss_mask: 0.5981, decode.d8.loss_dice: 0.8677, loss: 20.4658 2022-05-01 02:30:20,936 - mmseg - INFO - Iter [19700/80000] lr: 1.082e-06, eta: 1 day, 8:54:42, time: 1.920, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4311, decode.loss_mask: 0.5908, decode.loss_dice: 0.8665, decode.d0.loss_cls: 1.4464, decode.d0.loss_mask: 0.6346, decode.d0.loss_dice: 0.9808, decode.d1.loss_cls: 0.5096, decode.d1.loss_mask: 0.6213, decode.d1.loss_dice: 0.9438, decode.d2.loss_cls: 0.4674, decode.d2.loss_mask: 0.5992, decode.d2.loss_dice: 0.9002, decode.d3.loss_cls: 0.4428, decode.d3.loss_mask: 0.5963, decode.d3.loss_dice: 0.8782, decode.d4.loss_cls: 0.4375, decode.d4.loss_mask: 0.5948, decode.d4.loss_dice: 0.8783, decode.d5.loss_cls: 0.4265, decode.d5.loss_mask: 0.5953, decode.d5.loss_dice: 0.8798, decode.d6.loss_cls: 0.4210, decode.d6.loss_mask: 0.5945, decode.d6.loss_dice: 0.8714, decode.d7.loss_cls: 0.4219, decode.d7.loss_mask: 0.5929, decode.d7.loss_dice: 0.8747, decode.d8.loss_cls: 0.4260, decode.d8.loss_mask: 0.5940, decode.d8.loss_dice: 0.8684, loss: 20.3861 2022-05-01 02:31:55,987 - mmseg - INFO - Iter [19750/80000] lr: 1.081e-06, eta: 1 day, 8:52:54, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4193, decode.loss_mask: 0.5913, decode.loss_dice: 0.8673, decode.d0.loss_cls: 1.4516, decode.d0.loss_mask: 0.6367, decode.d0.loss_dice: 0.9875, decode.d1.loss_cls: 0.5084, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9383, decode.d2.loss_cls: 0.4666, decode.d2.loss_mask: 0.6000, decode.d2.loss_dice: 0.8933, decode.d3.loss_cls: 0.4426, decode.d3.loss_mask: 0.5898, decode.d3.loss_dice: 0.8807, decode.d4.loss_cls: 0.4383, decode.d4.loss_mask: 0.5890, decode.d4.loss_dice: 0.8842, decode.d5.loss_cls: 0.4295, decode.d5.loss_mask: 0.5878, decode.d5.loss_dice: 0.8765, decode.d6.loss_cls: 0.4278, decode.d6.loss_mask: 0.5865, decode.d6.loss_dice: 0.8712, decode.d7.loss_cls: 0.4212, decode.d7.loss_mask: 0.5876, decode.d7.loss_dice: 0.8735, decode.d8.loss_cls: 0.4181, decode.d8.loss_mask: 0.5935, decode.d8.loss_dice: 0.8716, loss: 20.3473 2022-05-01 02:33:31,101 - mmseg - INFO - Iter [19800/80000] lr: 1.080e-06, eta: 1 day, 8:51:06, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4219, decode.loss_mask: 0.5801, decode.loss_dice: 0.8412, decode.d0.loss_cls: 1.4602, decode.d0.loss_mask: 0.6297, decode.d0.loss_dice: 0.9581, decode.d1.loss_cls: 0.5130, decode.d1.loss_mask: 0.6107, decode.d1.loss_dice: 0.9094, decode.d2.loss_cls: 0.4572, decode.d2.loss_mask: 0.5924, decode.d2.loss_dice: 0.8706, decode.d3.loss_cls: 0.4470, decode.d3.loss_mask: 0.5929, decode.d3.loss_dice: 0.8525, decode.d4.loss_cls: 0.4358, decode.d4.loss_mask: 0.5856, decode.d4.loss_dice: 0.8558, decode.d5.loss_cls: 0.4301, decode.d5.loss_mask: 0.5833, decode.d5.loss_dice: 0.8519, decode.d6.loss_cls: 0.4239, decode.d6.loss_mask: 0.5807, decode.d6.loss_dice: 0.8434, decode.d7.loss_cls: 0.4224, decode.d7.loss_mask: 0.5836, decode.d7.loss_dice: 0.8464, decode.d8.loss_cls: 0.4195, decode.d8.loss_mask: 0.5813, decode.d8.loss_dice: 0.8444, loss: 20.0253 2022-05-01 02:35:05,348 - mmseg - INFO - Iter [19850/80000] lr: 1.080e-06, eta: 1 day, 8:49:16, time: 1.887, data_time: 0.020, memory: 64716, decode.loss_cls: 0.4152, decode.loss_mask: 0.5923, decode.loss_dice: 0.8421, decode.d0.loss_cls: 1.4510, decode.d0.loss_mask: 0.6382, decode.d0.loss_dice: 0.9607, decode.d1.loss_cls: 0.5131, decode.d1.loss_mask: 0.6197, decode.d1.loss_dice: 0.9106, decode.d2.loss_cls: 0.4634, decode.d2.loss_mask: 0.6063, decode.d2.loss_dice: 0.8804, decode.d3.loss_cls: 0.4333, decode.d3.loss_mask: 0.5977, decode.d3.loss_dice: 0.8633, decode.d4.loss_cls: 0.4244, decode.d4.loss_mask: 0.5965, decode.d4.loss_dice: 0.8524, decode.d5.loss_cls: 0.4235, decode.d5.loss_mask: 0.5952, decode.d5.loss_dice: 0.8479, decode.d6.loss_cls: 0.4191, decode.d6.loss_mask: 0.5926, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.4199, decode.d7.loss_mask: 0.5945, decode.d7.loss_dice: 0.8474, decode.d8.loss_cls: 0.4159, decode.d8.loss_mask: 0.5946, decode.d8.loss_dice: 0.8462, loss: 20.0990 2022-05-01 02:36:40,439 - mmseg - INFO - Iter [19900/80000] lr: 1.079e-06, eta: 1 day, 8:47:28, time: 1.902, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4430, decode.loss_mask: 0.5703, decode.loss_dice: 0.8726, decode.d0.loss_cls: 1.5135, decode.d0.loss_mask: 0.6226, decode.d0.loss_dice: 1.0068, decode.d1.loss_cls: 0.5231, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.9413, decode.d2.loss_cls: 0.4740, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.9105, decode.d3.loss_cls: 0.4494, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8881, decode.d4.loss_cls: 0.4534, decode.d4.loss_mask: 0.5749, decode.d4.loss_dice: 0.8907, decode.d5.loss_cls: 0.4390, decode.d5.loss_mask: 0.5786, decode.d5.loss_dice: 0.8878, decode.d6.loss_cls: 0.4356, decode.d6.loss_mask: 0.5722, decode.d6.loss_dice: 0.8742, decode.d7.loss_cls: 0.4373, decode.d7.loss_mask: 0.5726, decode.d7.loss_dice: 0.8774, decode.d8.loss_cls: 0.4352, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8737, loss: 20.4671 2022-05-01 02:38:15,448 - mmseg - INFO - Iter [19950/80000] lr: 1.078e-06, eta: 1 day, 8:45:40, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4216, decode.loss_mask: 0.6083, decode.loss_dice: 0.8497, decode.d0.loss_cls: 1.5040, decode.d0.loss_mask: 0.6502, decode.d0.loss_dice: 0.9772, decode.d1.loss_cls: 0.5184, decode.d1.loss_mask: 0.6350, decode.d1.loss_dice: 0.9182, decode.d2.loss_cls: 0.4686, decode.d2.loss_mask: 0.6160, decode.d2.loss_dice: 0.8920, decode.d3.loss_cls: 0.4497, decode.d3.loss_mask: 0.6122, decode.d3.loss_dice: 0.8740, decode.d4.loss_cls: 0.4340, decode.d4.loss_mask: 0.6121, decode.d4.loss_dice: 0.8643, decode.d5.loss_cls: 0.4259, decode.d5.loss_mask: 0.6105, decode.d5.loss_dice: 0.8588, decode.d6.loss_cls: 0.4249, decode.d6.loss_mask: 0.6045, decode.d6.loss_dice: 0.8527, decode.d7.loss_cls: 0.4182, decode.d7.loss_mask: 0.6075, decode.d7.loss_dice: 0.8608, decode.d8.loss_cls: 0.4210, decode.d8.loss_mask: 0.6076, decode.d8.loss_dice: 0.8541, loss: 20.4523 2022-05-01 02:39:51,296 - mmseg - INFO - Saving checkpoint at 20000 iterations 2022-05-01 02:40:20,385 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 02:40:20,401 - mmseg - INFO - Iter [20000/80000] lr: 1.077e-06, eta: 1 day, 8:45:22, time: 2.497, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4304, decode.loss_mask: 0.5949, decode.loss_dice: 0.8736, decode.d0.loss_cls: 1.4800, decode.d0.loss_mask: 0.6410, decode.d0.loss_dice: 0.9993, decode.d1.loss_cls: 0.5245, decode.d1.loss_mask: 0.6223, decode.d1.loss_dice: 0.9427, decode.d2.loss_cls: 0.4730, decode.d2.loss_mask: 0.6108, decode.d2.loss_dice: 0.9141, decode.d3.loss_cls: 0.4553, decode.d3.loss_mask: 0.6023, decode.d3.loss_dice: 0.8914, decode.d4.loss_cls: 0.4388, decode.d4.loss_mask: 0.6051, decode.d4.loss_dice: 0.8910, decode.d5.loss_cls: 0.4440, decode.d5.loss_mask: 0.5989, decode.d5.loss_dice: 0.8921, decode.d6.loss_cls: 0.4414, decode.d6.loss_mask: 0.5936, decode.d6.loss_dice: 0.8767, decode.d7.loss_cls: 0.4360, decode.d7.loss_mask: 0.5962, decode.d7.loss_dice: 0.8749, decode.d8.loss_cls: 0.4328, decode.d8.loss_mask: 0.5922, decode.d8.loss_dice: 0.8725, loss: 20.6418 2022-05-01 02:41:56,434 - mmseg - INFO - Iter [20050/80000] lr: 1.076e-06, eta: 1 day, 8:43:37, time: 1.924, data_time: 0.019, memory: 64716, decode.loss_cls: 0.4390, decode.loss_mask: 0.5957, decode.loss_dice: 0.8770, decode.d0.loss_cls: 1.4602, decode.d0.loss_mask: 0.6456, decode.d0.loss_dice: 0.9987, decode.d1.loss_cls: 0.5314, decode.d1.loss_mask: 0.6248, decode.d1.loss_dice: 0.9394, decode.d2.loss_cls: 0.4749, decode.d2.loss_mask: 0.6088, decode.d2.loss_dice: 0.9036, decode.d3.loss_cls: 0.4665, decode.d3.loss_mask: 0.6007, decode.d3.loss_dice: 0.8892, decode.d4.loss_cls: 0.4530, decode.d4.loss_mask: 0.6033, decode.d4.loss_dice: 0.8891, decode.d5.loss_cls: 0.4541, decode.d5.loss_mask: 0.6007, decode.d5.loss_dice: 0.8817, decode.d6.loss_cls: 0.4428, decode.d6.loss_mask: 0.5965, decode.d6.loss_dice: 0.8731, decode.d7.loss_cls: 0.4467, decode.d7.loss_mask: 0.5962, decode.d7.loss_dice: 0.8744, decode.d8.loss_cls: 0.4412, decode.d8.loss_mask: 0.5973, decode.d8.loss_dice: 0.8761, loss: 20.6815 2022-05-01 02:43:31,061 - mmseg - INFO - Iter [20100/80000] lr: 1.075e-06, eta: 1 day, 8:41:48, time: 1.892, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4270, decode.loss_mask: 0.6112, decode.loss_dice: 0.8705, decode.d0.loss_cls: 1.4372, decode.d0.loss_mask: 0.6619, decode.d0.loss_dice: 0.9959, decode.d1.loss_cls: 0.5059, decode.d1.loss_mask: 0.6349, decode.d1.loss_dice: 0.9402, decode.d2.loss_cls: 0.4570, decode.d2.loss_mask: 0.6297, decode.d2.loss_dice: 0.9088, decode.d3.loss_cls: 0.4439, decode.d3.loss_mask: 0.6154, decode.d3.loss_dice: 0.8880, decode.d4.loss_cls: 0.4388, decode.d4.loss_mask: 0.6094, decode.d4.loss_dice: 0.8822, decode.d5.loss_cls: 0.4349, decode.d5.loss_mask: 0.6092, decode.d5.loss_dice: 0.8813, decode.d6.loss_cls: 0.4277, decode.d6.loss_mask: 0.6106, decode.d6.loss_dice: 0.8692, decode.d7.loss_cls: 0.4230, decode.d7.loss_mask: 0.6090, decode.d7.loss_dice: 0.8673, decode.d8.loss_cls: 0.4225, decode.d8.loss_mask: 0.6111, decode.d8.loss_dice: 0.8694, loss: 20.5931 2022-05-01 02:45:05,877 - mmseg - INFO - Iter [20150/80000] lr: 1.074e-06, eta: 1 day, 8:40:00, time: 1.895, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4181, decode.loss_mask: 0.6060, decode.loss_dice: 0.8784, decode.d0.loss_cls: 1.4751, decode.d0.loss_mask: 0.6514, decode.d0.loss_dice: 0.9950, decode.d1.loss_cls: 0.5052, decode.d1.loss_mask: 0.6261, decode.d1.loss_dice: 0.9488, decode.d2.loss_cls: 0.4471, decode.d2.loss_mask: 0.6151, decode.d2.loss_dice: 0.9120, decode.d3.loss_cls: 0.4254, decode.d3.loss_mask: 0.6103, decode.d3.loss_dice: 0.8974, decode.d4.loss_cls: 0.4241, decode.d4.loss_mask: 0.6085, decode.d4.loss_dice: 0.8856, decode.d5.loss_cls: 0.4195, decode.d5.loss_mask: 0.6058, decode.d5.loss_dice: 0.8808, decode.d6.loss_cls: 0.4120, decode.d6.loss_mask: 0.6061, decode.d6.loss_dice: 0.8790, decode.d7.loss_cls: 0.4119, decode.d7.loss_mask: 0.6051, decode.d7.loss_dice: 0.8817, decode.d8.loss_cls: 0.4139, decode.d8.loss_mask: 0.6067, decode.d8.loss_dice: 0.8798, loss: 20.5321 2022-05-01 02:46:39,797 - mmseg - INFO - Iter [20200/80000] lr: 1.073e-06, eta: 1 day, 8:38:09, time: 1.879, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4714, decode.loss_mask: 0.5882, decode.loss_dice: 0.8644, decode.d0.loss_cls: 1.5228, decode.d0.loss_mask: 0.6350, decode.d0.loss_dice: 0.9877, decode.d1.loss_cls: 0.5629, decode.d1.loss_mask: 0.6247, decode.d1.loss_dice: 0.9274, decode.d2.loss_cls: 0.5072, decode.d2.loss_mask: 0.6069, decode.d2.loss_dice: 0.8976, decode.d3.loss_cls: 0.4853, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8762, decode.d4.loss_cls: 0.4743, decode.d4.loss_mask: 0.6011, decode.d4.loss_dice: 0.8775, decode.d5.loss_cls: 0.4728, decode.d5.loss_mask: 0.5949, decode.d5.loss_dice: 0.8693, decode.d6.loss_cls: 0.4650, decode.d6.loss_mask: 0.5927, decode.d6.loss_dice: 0.8631, decode.d7.loss_cls: 0.4668, decode.d7.loss_mask: 0.5933, decode.d7.loss_dice: 0.8613, decode.d8.loss_cls: 0.4623, decode.d8.loss_mask: 0.5898, decode.d8.loss_dice: 0.8611, loss: 20.8038 2022-05-01 02:48:17,157 - mmseg - INFO - Iter [20250/80000] lr: 1.072e-06, eta: 1 day, 8:36:28, time: 1.948, data_time: 0.066, memory: 64716, decode.loss_cls: 0.4058, decode.loss_mask: 0.6102, decode.loss_dice: 0.8503, decode.d0.loss_cls: 1.4486, decode.d0.loss_mask: 0.6585, decode.d0.loss_dice: 0.9791, decode.d1.loss_cls: 0.4984, decode.d1.loss_mask: 0.6449, decode.d1.loss_dice: 0.9237, decode.d2.loss_cls: 0.4450, decode.d2.loss_mask: 0.6267, decode.d2.loss_dice: 0.8868, decode.d3.loss_cls: 0.4224, decode.d3.loss_mask: 0.6144, decode.d3.loss_dice: 0.8745, decode.d4.loss_cls: 0.4153, decode.d4.loss_mask: 0.6127, decode.d4.loss_dice: 0.8700, decode.d5.loss_cls: 0.4074, decode.d5.loss_mask: 0.6101, decode.d5.loss_dice: 0.8585, decode.d6.loss_cls: 0.4020, decode.d6.loss_mask: 0.6113, decode.d6.loss_dice: 0.8570, decode.d7.loss_cls: 0.4019, decode.d7.loss_mask: 0.6097, decode.d7.loss_dice: 0.8530, decode.d8.loss_cls: 0.4027, decode.d8.loss_mask: 0.6070, decode.d8.loss_dice: 0.8550, loss: 20.2629 2022-05-01 02:49:53,291 - mmseg - INFO - Iter [20300/80000] lr: 1.071e-06, eta: 1 day, 8:34:43, time: 1.922, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4391, decode.loss_mask: 0.5872, decode.loss_dice: 0.8543, decode.d0.loss_cls: 1.5105, decode.d0.loss_mask: 0.6475, decode.d0.loss_dice: 0.9935, decode.d1.loss_cls: 0.5282, decode.d1.loss_mask: 0.6257, decode.d1.loss_dice: 0.9374, decode.d2.loss_cls: 0.4818, decode.d2.loss_mask: 0.6057, decode.d2.loss_dice: 0.8924, decode.d3.loss_cls: 0.4608, decode.d3.loss_mask: 0.5960, decode.d3.loss_dice: 0.8689, decode.d4.loss_cls: 0.4492, decode.d4.loss_mask: 0.5946, decode.d4.loss_dice: 0.8706, decode.d5.loss_cls: 0.4413, decode.d5.loss_mask: 0.5922, decode.d5.loss_dice: 0.8675, decode.d6.loss_cls: 0.4347, decode.d6.loss_mask: 0.5927, decode.d6.loss_dice: 0.8658, decode.d7.loss_cls: 0.4368, decode.d7.loss_mask: 0.5906, decode.d7.loss_dice: 0.8647, decode.d8.loss_cls: 0.4318, decode.d8.loss_mask: 0.5903, decode.d8.loss_dice: 0.8608, loss: 20.5126 2022-05-01 02:51:27,266 - mmseg - INFO - Iter [20350/80000] lr: 1.071e-06, eta: 1 day, 8:32:53, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3954, decode.loss_mask: 0.6094, decode.loss_dice: 0.8313, decode.d0.loss_cls: 1.4292, decode.d0.loss_mask: 0.6600, decode.d0.loss_dice: 0.9569, decode.d1.loss_cls: 0.4828, decode.d1.loss_mask: 0.6355, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.4374, decode.d2.loss_mask: 0.6174, decode.d2.loss_dice: 0.8668, decode.d3.loss_cls: 0.4143, decode.d3.loss_mask: 0.6116, decode.d3.loss_dice: 0.8465, decode.d4.loss_cls: 0.4070, decode.d4.loss_mask: 0.6103, decode.d4.loss_dice: 0.8444, decode.d5.loss_cls: 0.4010, decode.d5.loss_mask: 0.6064, decode.d5.loss_dice: 0.8419, decode.d6.loss_cls: 0.3961, decode.d6.loss_mask: 0.6055, decode.d6.loss_dice: 0.8368, decode.d7.loss_cls: 0.3939, decode.d7.loss_mask: 0.6073, decode.d7.loss_dice: 0.8316, decode.d8.loss_cls: 0.3974, decode.d8.loss_mask: 0.6055, decode.d8.loss_dice: 0.8332, loss: 19.9085 2022-05-01 02:53:03,142 - mmseg - INFO - Iter [20400/80000] lr: 1.070e-06, eta: 1 day, 8:31:08, time: 1.917, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4198, decode.loss_mask: 0.5861, decode.loss_dice: 0.8691, decode.d0.loss_cls: 1.4479, decode.d0.loss_mask: 0.6337, decode.d0.loss_dice: 0.9897, decode.d1.loss_cls: 0.5096, decode.d1.loss_mask: 0.6136, decode.d1.loss_dice: 0.9384, decode.d2.loss_cls: 0.4537, decode.d2.loss_mask: 0.5975, decode.d2.loss_dice: 0.8978, decode.d3.loss_cls: 0.4312, decode.d3.loss_mask: 0.5940, decode.d3.loss_dice: 0.8849, decode.d4.loss_cls: 0.4249, decode.d4.loss_mask: 0.5923, decode.d4.loss_dice: 0.8815, decode.d5.loss_cls: 0.4184, decode.d5.loss_mask: 0.5870, decode.d5.loss_dice: 0.8820, decode.d6.loss_cls: 0.4202, decode.d6.loss_mask: 0.5854, decode.d6.loss_dice: 0.8743, decode.d7.loss_cls: 0.4190, decode.d7.loss_mask: 0.5851, decode.d7.loss_dice: 0.8730, decode.d8.loss_cls: 0.4140, decode.d8.loss_mask: 0.5859, decode.d8.loss_dice: 0.8748, loss: 20.2847 2022-05-01 02:54:37,182 - mmseg - INFO - Iter [20450/80000] lr: 1.069e-06, eta: 1 day, 8:29:17, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4167, decode.loss_mask: 0.5994, decode.loss_dice: 0.8446, decode.d0.loss_cls: 1.4355, decode.d0.loss_mask: 0.6532, decode.d0.loss_dice: 0.9642, decode.d1.loss_cls: 0.4994, decode.d1.loss_mask: 0.6280, decode.d1.loss_dice: 0.9164, decode.d2.loss_cls: 0.4461, decode.d2.loss_mask: 0.6112, decode.d2.loss_dice: 0.8837, decode.d3.loss_cls: 0.4336, decode.d3.loss_mask: 0.6070, decode.d3.loss_dice: 0.8649, decode.d4.loss_cls: 0.4273, decode.d4.loss_mask: 0.6076, decode.d4.loss_dice: 0.8594, decode.d5.loss_cls: 0.4267, decode.d5.loss_mask: 0.6014, decode.d5.loss_dice: 0.8520, decode.d6.loss_cls: 0.4181, decode.d6.loss_mask: 0.5997, decode.d6.loss_dice: 0.8403, decode.d7.loss_cls: 0.4190, decode.d7.loss_mask: 0.5977, decode.d7.loss_dice: 0.8421, decode.d8.loss_cls: 0.4148, decode.d8.loss_mask: 0.5966, decode.d8.loss_dice: 0.8465, loss: 20.1530 2022-05-01 02:56:12,415 - mmseg - INFO - Iter [20500/80000] lr: 1.068e-06, eta: 1 day, 8:27:31, time: 1.907, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4328, decode.loss_mask: 0.5952, decode.loss_dice: 0.8511, decode.d0.loss_cls: 1.4937, decode.d0.loss_mask: 0.6418, decode.d0.loss_dice: 0.9753, decode.d1.loss_cls: 0.5337, decode.d1.loss_mask: 0.6162, decode.d1.loss_dice: 0.9103, decode.d2.loss_cls: 0.4809, decode.d2.loss_mask: 0.5997, decode.d2.loss_dice: 0.8764, decode.d3.loss_cls: 0.4614, decode.d3.loss_mask: 0.5955, decode.d3.loss_dice: 0.8587, decode.d4.loss_cls: 0.4546, decode.d4.loss_mask: 0.5953, decode.d4.loss_dice: 0.8665, decode.d5.loss_cls: 0.4503, decode.d5.loss_mask: 0.5935, decode.d5.loss_dice: 0.8587, decode.d6.loss_cls: 0.4426, decode.d6.loss_mask: 0.5916, decode.d6.loss_dice: 0.8528, decode.d7.loss_cls: 0.4367, decode.d7.loss_mask: 0.5938, decode.d7.loss_dice: 0.8620, decode.d8.loss_cls: 0.4340, decode.d8.loss_mask: 0.5922, decode.d8.loss_dice: 0.8534, loss: 20.4006 2022-05-01 02:57:47,469 - mmseg - INFO - Iter [20550/80000] lr: 1.067e-06, eta: 1 day, 8:25:43, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4250, decode.loss_mask: 0.6093, decode.loss_dice: 0.8580, decode.d0.loss_cls: 1.4995, decode.d0.loss_mask: 0.6426, decode.d0.loss_dice: 0.9758, decode.d1.loss_cls: 0.5139, decode.d1.loss_mask: 0.6318, decode.d1.loss_dice: 0.9192, decode.d2.loss_cls: 0.4667, decode.d2.loss_mask: 0.6193, decode.d2.loss_dice: 0.8904, decode.d3.loss_cls: 0.4445, decode.d3.loss_mask: 0.6133, decode.d3.loss_dice: 0.8737, decode.d4.loss_cls: 0.4395, decode.d4.loss_mask: 0.6100, decode.d4.loss_dice: 0.8635, decode.d5.loss_cls: 0.4343, decode.d5.loss_mask: 0.6069, decode.d5.loss_dice: 0.8586, decode.d6.loss_cls: 0.4275, decode.d6.loss_mask: 0.6057, decode.d6.loss_dice: 0.8529, decode.d7.loss_cls: 0.4228, decode.d7.loss_mask: 0.6076, decode.d7.loss_dice: 0.8570, decode.d8.loss_cls: 0.4250, decode.d8.loss_mask: 0.6081, decode.d8.loss_dice: 0.8553, loss: 20.4576 2022-05-01 02:59:22,599 - mmseg - INFO - Iter [20600/80000] lr: 1.066e-06, eta: 1 day, 8:23:56, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4359, decode.loss_mask: 0.5858, decode.loss_dice: 0.8647, decode.d0.loss_cls: 1.4583, decode.d0.loss_mask: 0.6427, decode.d0.loss_dice: 0.9865, decode.d1.loss_cls: 0.5164, decode.d1.loss_mask: 0.6161, decode.d1.loss_dice: 0.9344, decode.d2.loss_cls: 0.4754, decode.d2.loss_mask: 0.5986, decode.d2.loss_dice: 0.8986, decode.d3.loss_cls: 0.4538, decode.d3.loss_mask: 0.5914, decode.d3.loss_dice: 0.8795, decode.d4.loss_cls: 0.4493, decode.d4.loss_mask: 0.5876, decode.d4.loss_dice: 0.8795, decode.d5.loss_cls: 0.4461, decode.d5.loss_mask: 0.5892, decode.d5.loss_dice: 0.8734, decode.d6.loss_cls: 0.4420, decode.d6.loss_mask: 0.5842, decode.d6.loss_dice: 0.8652, decode.d7.loss_cls: 0.4413, decode.d7.loss_mask: 0.5837, decode.d7.loss_dice: 0.8666, decode.d8.loss_cls: 0.4358, decode.d8.loss_mask: 0.5845, decode.d8.loss_dice: 0.8700, loss: 20.4364 2022-05-01 03:00:56,127 - mmseg - INFO - Iter [20650/80000] lr: 1.065e-06, eta: 1 day, 8:22:05, time: 1.870, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4137, decode.loss_mask: 0.5942, decode.loss_dice: 0.8472, decode.d0.loss_cls: 1.4615, decode.d0.loss_mask: 0.6396, decode.d0.loss_dice: 0.9731, decode.d1.loss_cls: 0.5018, decode.d1.loss_mask: 0.6270, decode.d1.loss_dice: 0.9229, decode.d2.loss_cls: 0.4586, decode.d2.loss_mask: 0.6113, decode.d2.loss_dice: 0.8811, decode.d3.loss_cls: 0.4385, decode.d3.loss_mask: 0.6025, decode.d3.loss_dice: 0.8624, decode.d4.loss_cls: 0.4263, decode.d4.loss_mask: 0.6035, decode.d4.loss_dice: 0.8653, decode.d5.loss_cls: 0.4224, decode.d5.loss_mask: 0.6025, decode.d5.loss_dice: 0.8584, decode.d6.loss_cls: 0.4184, decode.d6.loss_mask: 0.5968, decode.d6.loss_dice: 0.8498, decode.d7.loss_cls: 0.4103, decode.d7.loss_mask: 0.5988, decode.d7.loss_dice: 0.8516, decode.d8.loss_cls: 0.4108, decode.d8.loss_mask: 0.5966, decode.d8.loss_dice: 0.8512, loss: 20.1981 2022-05-01 03:02:31,010 - mmseg - INFO - Iter [20700/80000] lr: 1.064e-06, eta: 1 day, 8:20:17, time: 1.898, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4289, decode.loss_mask: 0.5835, decode.loss_dice: 0.8779, decode.d0.loss_cls: 1.4701, decode.d0.loss_mask: 0.6234, decode.d0.loss_dice: 0.9945, decode.d1.loss_cls: 0.5175, decode.d1.loss_mask: 0.6122, decode.d1.loss_dice: 0.9470, decode.d2.loss_cls: 0.4712, decode.d2.loss_mask: 0.5923, decode.d2.loss_dice: 0.9020, decode.d3.loss_cls: 0.4522, decode.d3.loss_mask: 0.5798, decode.d3.loss_dice: 0.8779, decode.d4.loss_cls: 0.4411, decode.d4.loss_mask: 0.5781, decode.d4.loss_dice: 0.8784, decode.d5.loss_cls: 0.4350, decode.d5.loss_mask: 0.5828, decode.d5.loss_dice: 0.8851, decode.d6.loss_cls: 0.4334, decode.d6.loss_mask: 0.5798, decode.d6.loss_dice: 0.8747, decode.d7.loss_cls: 0.4266, decode.d7.loss_mask: 0.5817, decode.d7.loss_dice: 0.8773, decode.d8.loss_cls: 0.4255, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8789, loss: 20.3913 2022-05-01 03:04:04,164 - mmseg - INFO - Iter [20750/80000] lr: 1.063e-06, eta: 1 day, 8:18:25, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4231, decode.loss_mask: 0.5684, decode.loss_dice: 0.8425, decode.d0.loss_cls: 1.4533, decode.d0.loss_mask: 0.6150, decode.d0.loss_dice: 0.9695, decode.d1.loss_cls: 0.5095, decode.d1.loss_mask: 0.6033, decode.d1.loss_dice: 0.9148, decode.d2.loss_cls: 0.4546, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8766, decode.d3.loss_cls: 0.4438, decode.d3.loss_mask: 0.5759, decode.d3.loss_dice: 0.8557, decode.d4.loss_cls: 0.4361, decode.d4.loss_mask: 0.5768, decode.d4.loss_dice: 0.8517, decode.d5.loss_cls: 0.4325, decode.d5.loss_mask: 0.5697, decode.d5.loss_dice: 0.8509, decode.d6.loss_cls: 0.4268, decode.d6.loss_mask: 0.5699, decode.d6.loss_dice: 0.8430, decode.d7.loss_cls: 0.4223, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.8434, decode.d8.loss_cls: 0.4254, decode.d8.loss_mask: 0.5688, decode.d8.loss_dice: 0.8427, loss: 19.9228 2022-05-01 03:05:39,209 - mmseg - INFO - Iter [20800/80000] lr: 1.063e-06, eta: 1 day, 8:16:38, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4291, decode.loss_mask: 0.5726, decode.loss_dice: 0.8483, decode.d0.loss_cls: 1.4690, decode.d0.loss_mask: 0.6199, decode.d0.loss_dice: 0.9690, decode.d1.loss_cls: 0.5301, decode.d1.loss_mask: 0.5985, decode.d1.loss_dice: 0.9041, decode.d2.loss_cls: 0.4687, decode.d2.loss_mask: 0.5861, decode.d2.loss_dice: 0.8783, decode.d3.loss_cls: 0.4578, decode.d3.loss_mask: 0.5734, decode.d3.loss_dice: 0.8591, decode.d4.loss_cls: 0.4413, decode.d4.loss_mask: 0.5750, decode.d4.loss_dice: 0.8581, decode.d5.loss_cls: 0.4342, decode.d5.loss_mask: 0.5718, decode.d5.loss_dice: 0.8578, decode.d6.loss_cls: 0.4338, decode.d6.loss_mask: 0.5696, decode.d6.loss_dice: 0.8494, decode.d7.loss_cls: 0.4279, decode.d7.loss_mask: 0.5729, decode.d7.loss_dice: 0.8457, decode.d8.loss_cls: 0.4306, decode.d8.loss_mask: 0.5732, decode.d8.loss_dice: 0.8518, loss: 20.0573 2022-05-01 03:07:13,572 - mmseg - INFO - Iter [20850/80000] lr: 1.062e-06, eta: 1 day, 8:14:49, time: 1.888, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4200, decode.loss_mask: 0.5710, decode.loss_dice: 0.8297, decode.d0.loss_cls: 1.4320, decode.d0.loss_mask: 0.6283, decode.d0.loss_dice: 0.9625, decode.d1.loss_cls: 0.5058, decode.d1.loss_mask: 0.6022, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.4564, decode.d2.loss_mask: 0.5845, decode.d2.loss_dice: 0.8618, decode.d3.loss_cls: 0.4362, decode.d3.loss_mask: 0.5779, decode.d3.loss_dice: 0.8403, decode.d4.loss_cls: 0.4289, decode.d4.loss_mask: 0.5764, decode.d4.loss_dice: 0.8411, decode.d5.loss_cls: 0.4175, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8441, decode.d6.loss_cls: 0.4180, decode.d6.loss_mask: 0.5728, decode.d6.loss_dice: 0.8315, decode.d7.loss_cls: 0.4163, decode.d7.loss_mask: 0.5703, decode.d7.loss_dice: 0.8289, decode.d8.loss_cls: 0.4120, decode.d8.loss_mask: 0.5722, decode.d8.loss_dice: 0.8356, loss: 19.7450 2022-05-01 03:08:48,630 - mmseg - INFO - Iter [20900/80000] lr: 1.061e-06, eta: 1 day, 8:13:02, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4117, decode.loss_mask: 0.5892, decode.loss_dice: 0.8387, decode.d0.loss_cls: 1.4656, decode.d0.loss_mask: 0.6493, decode.d0.loss_dice: 0.9800, decode.d1.loss_cls: 0.5101, decode.d1.loss_mask: 0.6311, decode.d1.loss_dice: 0.9118, decode.d2.loss_cls: 0.4646, decode.d2.loss_mask: 0.6079, decode.d2.loss_dice: 0.8755, decode.d3.loss_cls: 0.4351, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8615, decode.d4.loss_cls: 0.4297, decode.d4.loss_mask: 0.5980, decode.d4.loss_dice: 0.8555, decode.d5.loss_cls: 0.4245, decode.d5.loss_mask: 0.5954, decode.d5.loss_dice: 0.8572, decode.d6.loss_cls: 0.4162, decode.d6.loss_mask: 0.5913, decode.d6.loss_dice: 0.8438, decode.d7.loss_cls: 0.4126, decode.d7.loss_mask: 0.5923, decode.d7.loss_dice: 0.8443, decode.d8.loss_cls: 0.4105, decode.d8.loss_mask: 0.5918, decode.d8.loss_dice: 0.8486, loss: 20.1446 2022-05-01 03:10:23,752 - mmseg - INFO - Iter [20950/80000] lr: 1.060e-06, eta: 1 day, 8:11:15, time: 1.902, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4185, decode.loss_mask: 0.6067, decode.loss_dice: 0.8459, decode.d0.loss_cls: 1.4609, decode.d0.loss_mask: 0.6593, decode.d0.loss_dice: 0.9761, decode.d1.loss_cls: 0.5083, decode.d1.loss_mask: 0.6346, decode.d1.loss_dice: 0.9254, decode.d2.loss_cls: 0.4620, decode.d2.loss_mask: 0.6184, decode.d2.loss_dice: 0.8927, decode.d3.loss_cls: 0.4419, decode.d3.loss_mask: 0.6083, decode.d3.loss_dice: 0.8676, decode.d4.loss_cls: 0.4313, decode.d4.loss_mask: 0.6085, decode.d4.loss_dice: 0.8658, decode.d5.loss_cls: 0.4236, decode.d5.loss_mask: 0.6127, decode.d5.loss_dice: 0.8588, decode.d6.loss_cls: 0.4193, decode.d6.loss_mask: 0.6045, decode.d6.loss_dice: 0.8500, decode.d7.loss_cls: 0.4228, decode.d7.loss_mask: 0.6040, decode.d7.loss_dice: 0.8501, decode.d8.loss_cls: 0.4191, decode.d8.loss_mask: 0.6037, decode.d8.loss_dice: 0.8540, loss: 20.3547 2022-05-01 03:11:57,448 - mmseg - INFO - Saving checkpoint at 21000 iterations 2022-05-01 03:12:15,517 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 03:12:15,519 - mmseg - INFO - Iter [21000/80000] lr: 1.059e-06, eta: 1 day, 8:10:16, time: 2.235, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4253, decode.loss_mask: 0.5867, decode.loss_dice: 0.8641, decode.d0.loss_cls: 1.4896, decode.d0.loss_mask: 0.6564, decode.d0.loss_dice: 0.9860, decode.d1.loss_cls: 0.5123, decode.d1.loss_mask: 0.6213, decode.d1.loss_dice: 0.9347, decode.d2.loss_cls: 0.4713, decode.d2.loss_mask: 0.6066, decode.d2.loss_dice: 0.8980, decode.d3.loss_cls: 0.4542, decode.d3.loss_mask: 0.5927, decode.d3.loss_dice: 0.8817, decode.d4.loss_cls: 0.4438, decode.d4.loss_mask: 0.5944, decode.d4.loss_dice: 0.8778, decode.d5.loss_cls: 0.4378, decode.d5.loss_mask: 0.5910, decode.d5.loss_dice: 0.8724, decode.d6.loss_cls: 0.4263, decode.d6.loss_mask: 0.5885, decode.d6.loss_dice: 0.8695, decode.d7.loss_cls: 0.4283, decode.d7.loss_mask: 0.5878, decode.d7.loss_dice: 0.8607, decode.d8.loss_cls: 0.4262, decode.d8.loss_mask: 0.5862, decode.d8.loss_dice: 0.8600, loss: 20.4315 2022-05-01 03:13:51,923 - mmseg - INFO - Iter [21050/80000] lr: 1.058e-06, eta: 1 day, 8:08:33, time: 1.929, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4468, decode.loss_mask: 0.5870, decode.loss_dice: 0.8604, decode.d0.loss_cls: 1.4721, decode.d0.loss_mask: 0.6342, decode.d0.loss_dice: 0.9855, decode.d1.loss_cls: 0.5419, decode.d1.loss_mask: 0.6159, decode.d1.loss_dice: 0.9307, decode.d2.loss_cls: 0.4898, decode.d2.loss_mask: 0.6014, decode.d2.loss_dice: 0.8936, decode.d3.loss_cls: 0.4731, decode.d3.loss_mask: 0.5945, decode.d3.loss_dice: 0.8726, decode.d4.loss_cls: 0.4647, decode.d4.loss_mask: 0.5907, decode.d4.loss_dice: 0.8780, decode.d5.loss_cls: 0.4575, decode.d5.loss_mask: 0.5905, decode.d5.loss_dice: 0.8681, decode.d6.loss_cls: 0.4509, decode.d6.loss_mask: 0.5879, decode.d6.loss_dice: 0.8611, decode.d7.loss_cls: 0.4507, decode.d7.loss_mask: 0.5857, decode.d7.loss_dice: 0.8611, decode.d8.loss_cls: 0.4465, decode.d8.loss_mask: 0.5880, decode.d8.loss_dice: 0.8643, loss: 20.5455 2022-05-01 03:15:25,219 - mmseg - INFO - Iter [21100/80000] lr: 1.057e-06, eta: 1 day, 8:06:41, time: 1.866, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4435, decode.loss_mask: 0.6084, decode.loss_dice: 0.8649, decode.d0.loss_cls: 1.4604, decode.d0.loss_mask: 0.6575, decode.d0.loss_dice: 0.9970, decode.d1.loss_cls: 0.5199, decode.d1.loss_mask: 0.6382, decode.d1.loss_dice: 0.9469, decode.d2.loss_cls: 0.4809, decode.d2.loss_mask: 0.6154, decode.d2.loss_dice: 0.9040, decode.d3.loss_cls: 0.4659, decode.d3.loss_mask: 0.6097, decode.d3.loss_dice: 0.8871, decode.d4.loss_cls: 0.4523, decode.d4.loss_mask: 0.6113, decode.d4.loss_dice: 0.8837, decode.d5.loss_cls: 0.4477, decode.d5.loss_mask: 0.6053, decode.d5.loss_dice: 0.8784, decode.d6.loss_cls: 0.4424, decode.d6.loss_mask: 0.6044, decode.d6.loss_dice: 0.8711, decode.d7.loss_cls: 0.4435, decode.d7.loss_mask: 0.6070, decode.d7.loss_dice: 0.8692, decode.d8.loss_cls: 0.4437, decode.d8.loss_mask: 0.6079, decode.d8.loss_dice: 0.8695, loss: 20.7374 2022-05-01 03:17:00,509 - mmseg - INFO - Iter [21150/80000] lr: 1.056e-06, eta: 1 day, 8:04:55, time: 1.905, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4390, decode.loss_mask: 0.5877, decode.loss_dice: 0.8572, decode.d0.loss_cls: 1.4768, decode.d0.loss_mask: 0.6298, decode.d0.loss_dice: 0.9889, decode.d1.loss_cls: 0.5298, decode.d1.loss_mask: 0.6104, decode.d1.loss_dice: 0.9307, decode.d2.loss_cls: 0.4775, decode.d2.loss_mask: 0.6004, decode.d2.loss_dice: 0.8956, decode.d3.loss_cls: 0.4623, decode.d3.loss_mask: 0.5916, decode.d3.loss_dice: 0.8698, decode.d4.loss_cls: 0.4497, decode.d4.loss_mask: 0.5904, decode.d4.loss_dice: 0.8698, decode.d5.loss_cls: 0.4423, decode.d5.loss_mask: 0.5891, decode.d5.loss_dice: 0.8681, decode.d6.loss_cls: 0.4352, decode.d6.loss_mask: 0.5845, decode.d6.loss_dice: 0.8638, decode.d7.loss_cls: 0.4380, decode.d7.loss_mask: 0.5865, decode.d7.loss_dice: 0.8596, decode.d8.loss_cls: 0.4409, decode.d8.loss_mask: 0.5875, decode.d8.loss_dice: 0.8607, loss: 20.4135 2022-05-01 03:18:34,365 - mmseg - INFO - Iter [21200/80000] lr: 1.055e-06, eta: 1 day, 8:03:05, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4188, decode.loss_mask: 0.5905, decode.loss_dice: 0.8275, decode.d0.loss_cls: 1.4700, decode.d0.loss_mask: 0.6316, decode.d0.loss_dice: 0.9504, decode.d1.loss_cls: 0.5101, decode.d1.loss_mask: 0.6200, decode.d1.loss_dice: 0.8960, decode.d2.loss_cls: 0.4618, decode.d2.loss_mask: 0.6035, decode.d2.loss_dice: 0.8600, decode.d3.loss_cls: 0.4325, decode.d3.loss_mask: 0.5976, decode.d3.loss_dice: 0.8402, decode.d4.loss_cls: 0.4368, decode.d4.loss_mask: 0.5938, decode.d4.loss_dice: 0.8422, decode.d5.loss_cls: 0.4303, decode.d5.loss_mask: 0.5934, decode.d5.loss_dice: 0.8346, decode.d6.loss_cls: 0.4261, decode.d6.loss_mask: 0.5911, decode.d6.loss_dice: 0.8214, decode.d7.loss_cls: 0.4205, decode.d7.loss_mask: 0.5926, decode.d7.loss_dice: 0.8300, decode.d8.loss_cls: 0.4229, decode.d8.loss_mask: 0.5916, decode.d8.loss_dice: 0.8272, loss: 19.9651 2022-05-01 03:20:07,152 - mmseg - INFO - Iter [21250/80000] lr: 1.054e-06, eta: 1 day, 8:01:12, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4439, decode.loss_mask: 0.5878, decode.loss_dice: 0.8483, decode.d0.loss_cls: 1.4893, decode.d0.loss_mask: 0.6353, decode.d0.loss_dice: 0.9803, decode.d1.loss_cls: 0.5397, decode.d1.loss_mask: 0.6221, decode.d1.loss_dice: 0.9091, decode.d2.loss_cls: 0.4803, decode.d2.loss_mask: 0.6077, decode.d2.loss_dice: 0.8783, decode.d3.loss_cls: 0.4684, decode.d3.loss_mask: 0.5961, decode.d3.loss_dice: 0.8578, decode.d4.loss_cls: 0.4585, decode.d4.loss_mask: 0.5931, decode.d4.loss_dice: 0.8537, decode.d5.loss_cls: 0.4549, decode.d5.loss_mask: 0.5905, decode.d5.loss_dice: 0.8509, decode.d6.loss_cls: 0.4439, decode.d6.loss_mask: 0.5848, decode.d6.loss_dice: 0.8427, decode.d7.loss_cls: 0.4478, decode.d7.loss_mask: 0.5872, decode.d7.loss_dice: 0.8442, decode.d8.loss_cls: 0.4474, decode.d8.loss_mask: 0.5870, decode.d8.loss_dice: 0.8431, loss: 20.3741 2022-05-01 03:21:38,566 - mmseg - INFO - Iter [21300/80000] lr: 1.054e-06, eta: 1 day, 7:59:16, time: 1.829, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4126, decode.loss_mask: 0.6003, decode.loss_dice: 0.8614, decode.d0.loss_cls: 1.4700, decode.d0.loss_mask: 0.6491, decode.d0.loss_dice: 0.9708, decode.d1.loss_cls: 0.5109, decode.d1.loss_mask: 0.6268, decode.d1.loss_dice: 0.9248, decode.d2.loss_cls: 0.4597, decode.d2.loss_mask: 0.6135, decode.d2.loss_dice: 0.8855, decode.d3.loss_cls: 0.4359, decode.d3.loss_mask: 0.6077, decode.d3.loss_dice: 0.8737, decode.d4.loss_cls: 0.4292, decode.d4.loss_mask: 0.6078, decode.d4.loss_dice: 0.8718, decode.d5.loss_cls: 0.4184, decode.d5.loss_mask: 0.6056, decode.d5.loss_dice: 0.8744, decode.d6.loss_cls: 0.4134, decode.d6.loss_mask: 0.6016, decode.d6.loss_dice: 0.8613, decode.d7.loss_cls: 0.4095, decode.d7.loss_mask: 0.6017, decode.d7.loss_dice: 0.8662, decode.d8.loss_cls: 0.4147, decode.d8.loss_mask: 0.6014, decode.d8.loss_dice: 0.8639, loss: 20.3436 2022-05-01 03:23:12,886 - mmseg - INFO - Iter [21350/80000] lr: 1.053e-06, eta: 1 day, 7:57:27, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4042, decode.loss_mask: 0.5874, decode.loss_dice: 0.8616, decode.d0.loss_cls: 1.4375, decode.d0.loss_mask: 0.6367, decode.d0.loss_dice: 0.9792, decode.d1.loss_cls: 0.4957, decode.d1.loss_mask: 0.6123, decode.d1.loss_dice: 0.9258, decode.d2.loss_cls: 0.4462, decode.d2.loss_mask: 0.6014, decode.d2.loss_dice: 0.8899, decode.d3.loss_cls: 0.4288, decode.d3.loss_mask: 0.5922, decode.d3.loss_dice: 0.8735, decode.d4.loss_cls: 0.4214, decode.d4.loss_mask: 0.5934, decode.d4.loss_dice: 0.8685, decode.d5.loss_cls: 0.4157, decode.d5.loss_mask: 0.5883, decode.d5.loss_dice: 0.8649, decode.d6.loss_cls: 0.4108, decode.d6.loss_mask: 0.5879, decode.d6.loss_dice: 0.8586, decode.d7.loss_cls: 0.4076, decode.d7.loss_mask: 0.5888, decode.d7.loss_dice: 0.8612, decode.d8.loss_cls: 0.4086, decode.d8.loss_mask: 0.5888, decode.d8.loss_dice: 0.8614, loss: 20.0982 2022-05-01 03:24:45,452 - mmseg - INFO - Iter [21400/80000] lr: 1.052e-06, eta: 1 day, 7:55:34, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4159, decode.loss_mask: 0.5872, decode.loss_dice: 0.8372, decode.d0.loss_cls: 1.4152, decode.d0.loss_mask: 0.6370, decode.d0.loss_dice: 0.9596, decode.d1.loss_cls: 0.5037, decode.d1.loss_mask: 0.6128, decode.d1.loss_dice: 0.9145, decode.d2.loss_cls: 0.4514, decode.d2.loss_mask: 0.5998, decode.d2.loss_dice: 0.8731, decode.d3.loss_cls: 0.4334, decode.d3.loss_mask: 0.5925, decode.d3.loss_dice: 0.8509, decode.d4.loss_cls: 0.4217, decode.d4.loss_mask: 0.5919, decode.d4.loss_dice: 0.8546, decode.d5.loss_cls: 0.4178, decode.d5.loss_mask: 0.5894, decode.d5.loss_dice: 0.8512, decode.d6.loss_cls: 0.4167, decode.d6.loss_mask: 0.5865, decode.d6.loss_dice: 0.8458, decode.d7.loss_cls: 0.4111, decode.d7.loss_mask: 0.5866, decode.d7.loss_dice: 0.8464, decode.d8.loss_cls: 0.4163, decode.d8.loss_mask: 0.5860, decode.d8.loss_dice: 0.8402, loss: 19.9463 2022-05-01 03:26:19,785 - mmseg - INFO - Iter [21450/80000] lr: 1.051e-06, eta: 1 day, 7:53:46, time: 1.887, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4218, decode.loss_mask: 0.5941, decode.loss_dice: 0.8588, decode.d0.loss_cls: 1.4523, decode.d0.loss_mask: 0.6371, decode.d0.loss_dice: 0.9937, decode.d1.loss_cls: 0.5110, decode.d1.loss_mask: 0.6256, decode.d1.loss_dice: 0.9355, decode.d2.loss_cls: 0.4597, decode.d2.loss_mask: 0.6079, decode.d2.loss_dice: 0.9037, decode.d3.loss_cls: 0.4428, decode.d3.loss_mask: 0.5994, decode.d3.loss_dice: 0.8801, decode.d4.loss_cls: 0.4349, decode.d4.loss_mask: 0.5961, decode.d4.loss_dice: 0.8731, decode.d5.loss_cls: 0.4286, decode.d5.loss_mask: 0.5947, decode.d5.loss_dice: 0.8736, decode.d6.loss_cls: 0.4245, decode.d6.loss_mask: 0.5919, decode.d6.loss_dice: 0.8651, decode.d7.loss_cls: 0.4238, decode.d7.loss_mask: 0.5950, decode.d7.loss_dice: 0.8664, decode.d8.loss_cls: 0.4251, decode.d8.loss_mask: 0.5932, decode.d8.loss_dice: 0.8642, loss: 20.3737 2022-05-01 03:27:56,369 - mmseg - INFO - Iter [21500/80000] lr: 1.050e-06, eta: 1 day, 7:52:04, time: 1.932, data_time: 0.064, memory: 64716, decode.loss_cls: 0.4378, decode.loss_mask: 0.5828, decode.loss_dice: 0.8757, decode.d0.loss_cls: 1.4401, decode.d0.loss_mask: 0.6198, decode.d0.loss_dice: 1.0089, decode.d1.loss_cls: 0.5097, decode.d1.loss_mask: 0.6120, decode.d1.loss_dice: 0.9465, decode.d2.loss_cls: 0.4680, decode.d2.loss_mask: 0.5986, decode.d2.loss_dice: 0.9061, decode.d3.loss_cls: 0.4545, decode.d3.loss_mask: 0.5920, decode.d3.loss_dice: 0.8902, decode.d4.loss_cls: 0.4459, decode.d4.loss_mask: 0.5864, decode.d4.loss_dice: 0.8917, decode.d5.loss_cls: 0.4410, decode.d5.loss_mask: 0.5845, decode.d5.loss_dice: 0.8889, decode.d6.loss_cls: 0.4363, decode.d6.loss_mask: 0.5811, decode.d6.loss_dice: 0.8782, decode.d7.loss_cls: 0.4297, decode.d7.loss_mask: 0.5843, decode.d7.loss_dice: 0.8843, decode.d8.loss_cls: 0.4387, decode.d8.loss_mask: 0.5795, decode.d8.loss_dice: 0.8775, loss: 20.4706 2022-05-01 03:29:30,428 - mmseg - INFO - Iter [21550/80000] lr: 1.049e-06, eta: 1 day, 7:50:15, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4275, decode.loss_mask: 0.5575, decode.loss_dice: 0.8239, decode.d0.loss_cls: 1.4933, decode.d0.loss_mask: 0.6139, decode.d0.loss_dice: 0.9601, decode.d1.loss_cls: 0.5229, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.9070, decode.d2.loss_cls: 0.4636, decode.d2.loss_mask: 0.5765, decode.d2.loss_dice: 0.8714, decode.d3.loss_cls: 0.4413, decode.d3.loss_mask: 0.5634, decode.d3.loss_dice: 0.8502, decode.d4.loss_cls: 0.4294, decode.d4.loss_mask: 0.5606, decode.d4.loss_dice: 0.8451, decode.d5.loss_cls: 0.4246, decode.d5.loss_mask: 0.5601, decode.d5.loss_dice: 0.8447, decode.d6.loss_cls: 0.4226, decode.d6.loss_mask: 0.5568, decode.d6.loss_dice: 0.8268, decode.d7.loss_cls: 0.4250, decode.d7.loss_mask: 0.5578, decode.d7.loss_dice: 0.8357, decode.d8.loss_cls: 0.4234, decode.d8.loss_mask: 0.5572, decode.d8.loss_dice: 0.8326, loss: 19.7646 2022-05-01 03:31:04,944 - mmseg - INFO - Iter [21600/80000] lr: 1.048e-06, eta: 1 day, 7:48:27, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3922, decode.loss_mask: 0.5706, decode.loss_dice: 0.8273, decode.d0.loss_cls: 1.4359, decode.d0.loss_mask: 0.6260, decode.d0.loss_dice: 0.9421, decode.d1.loss_cls: 0.4840, decode.d1.loss_mask: 0.5973, decode.d1.loss_dice: 0.8953, decode.d2.loss_cls: 0.4414, decode.d2.loss_mask: 0.5820, decode.d2.loss_dice: 0.8563, decode.d3.loss_cls: 0.4147, decode.d3.loss_mask: 0.5758, decode.d3.loss_dice: 0.8420, decode.d4.loss_cls: 0.4073, decode.d4.loss_mask: 0.5774, decode.d4.loss_dice: 0.8388, decode.d5.loss_cls: 0.4019, decode.d5.loss_mask: 0.5759, decode.d5.loss_dice: 0.8364, decode.d6.loss_cls: 0.4028, decode.d6.loss_mask: 0.5690, decode.d6.loss_dice: 0.8208, decode.d7.loss_cls: 0.3989, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.8238, decode.d8.loss_cls: 0.3957, decode.d8.loss_mask: 0.5712, decode.d8.loss_dice: 0.8257, loss: 19.5006 2022-05-01 03:32:39,227 - mmseg - INFO - Iter [21650/80000] lr: 1.047e-06, eta: 1 day, 7:46:39, time: 1.886, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3928, decode.loss_mask: 0.5860, decode.loss_dice: 0.8329, decode.d0.loss_cls: 1.4367, decode.d0.loss_mask: 0.6352, decode.d0.loss_dice: 0.9555, decode.d1.loss_cls: 0.4885, decode.d1.loss_mask: 0.6221, decode.d1.loss_dice: 0.9089, decode.d2.loss_cls: 0.4346, decode.d2.loss_mask: 0.6039, decode.d2.loss_dice: 0.8697, decode.d3.loss_cls: 0.4213, decode.d3.loss_mask: 0.5920, decode.d3.loss_dice: 0.8467, decode.d4.loss_cls: 0.4126, decode.d4.loss_mask: 0.5907, decode.d4.loss_dice: 0.8457, decode.d5.loss_cls: 0.4094, decode.d5.loss_mask: 0.5895, decode.d5.loss_dice: 0.8389, decode.d6.loss_cls: 0.4012, decode.d6.loss_mask: 0.5905, decode.d6.loss_dice: 0.8316, decode.d7.loss_cls: 0.3957, decode.d7.loss_mask: 0.5862, decode.d7.loss_dice: 0.8380, decode.d8.loss_cls: 0.3926, decode.d8.loss_mask: 0.5891, decode.d8.loss_dice: 0.8352, loss: 19.7739 2022-05-01 03:34:13,232 - mmseg - INFO - Iter [21700/80000] lr: 1.046e-06, eta: 1 day, 7:44:50, time: 1.881, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4034, decode.loss_mask: 0.5810, decode.loss_dice: 0.8364, decode.d0.loss_cls: 1.4617, decode.d0.loss_mask: 0.6273, decode.d0.loss_dice: 0.9629, decode.d1.loss_cls: 0.5027, decode.d1.loss_mask: 0.6046, decode.d1.loss_dice: 0.9130, decode.d2.loss_cls: 0.4479, decode.d2.loss_mask: 0.5892, decode.d2.loss_dice: 0.8695, decode.d3.loss_cls: 0.4305, decode.d3.loss_mask: 0.5834, decode.d3.loss_dice: 0.8535, decode.d4.loss_cls: 0.4194, decode.d4.loss_mask: 0.5832, decode.d4.loss_dice: 0.8507, decode.d5.loss_cls: 0.4118, decode.d5.loss_mask: 0.5849, decode.d5.loss_dice: 0.8465, decode.d6.loss_cls: 0.4134, decode.d6.loss_mask: 0.5822, decode.d6.loss_dice: 0.8401, decode.d7.loss_cls: 0.4047, decode.d7.loss_mask: 0.5820, decode.d7.loss_dice: 0.8403, decode.d8.loss_cls: 0.4064, decode.d8.loss_mask: 0.5812, decode.d8.loss_dice: 0.8392, loss: 19.8530 2022-05-01 03:35:46,668 - mmseg - INFO - Iter [21750/80000] lr: 1.045e-06, eta: 1 day, 7:43:00, time: 1.869, data_time: 0.013, memory: 64716, decode.loss_cls: 0.3832, decode.loss_mask: 0.5956, decode.loss_dice: 0.8419, decode.d0.loss_cls: 1.4073, decode.d0.loss_mask: 0.6361, decode.d0.loss_dice: 0.9383, decode.d1.loss_cls: 0.4626, decode.d1.loss_mask: 0.6262, decode.d1.loss_dice: 0.9088, decode.d2.loss_cls: 0.4172, decode.d2.loss_mask: 0.6094, decode.d2.loss_dice: 0.8619, decode.d3.loss_cls: 0.3991, decode.d3.loss_mask: 0.6028, decode.d3.loss_dice: 0.8514, decode.d4.loss_cls: 0.3934, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8482, decode.d5.loss_cls: 0.3838, decode.d5.loss_mask: 0.5954, decode.d5.loss_dice: 0.8501, decode.d6.loss_cls: 0.3852, decode.d6.loss_mask: 0.5951, decode.d6.loss_dice: 0.8377, decode.d7.loss_cls: 0.3759, decode.d7.loss_mask: 0.5947, decode.d7.loss_dice: 0.8400, decode.d8.loss_cls: 0.3769, decode.d8.loss_mask: 0.5984, decode.d8.loss_dice: 0.8444, loss: 19.6589 2022-05-01 03:37:20,469 - mmseg - INFO - Iter [21800/80000] lr: 1.045e-06, eta: 1 day, 7:41:11, time: 1.876, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4401, decode.loss_mask: 0.5866, decode.loss_dice: 0.8720, decode.d0.loss_cls: 1.4946, decode.d0.loss_mask: 0.6359, decode.d0.loss_dice: 0.9992, decode.d1.loss_cls: 0.5251, decode.d1.loss_mask: 0.6181, decode.d1.loss_dice: 0.9586, decode.d2.loss_cls: 0.4853, decode.d2.loss_mask: 0.6050, decode.d2.loss_dice: 0.9103, decode.d3.loss_cls: 0.4655, decode.d3.loss_mask: 0.5957, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.4556, decode.d4.loss_mask: 0.5943, decode.d4.loss_dice: 0.8823, decode.d5.loss_cls: 0.4499, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8889, decode.d6.loss_cls: 0.4500, decode.d6.loss_mask: 0.5881, decode.d6.loss_dice: 0.8692, decode.d7.loss_cls: 0.4458, decode.d7.loss_mask: 0.5880, decode.d7.loss_dice: 0.8782, decode.d8.loss_cls: 0.4409, decode.d8.loss_mask: 0.5873, decode.d8.loss_dice: 0.8793, loss: 20.6713 2022-05-01 03:38:54,468 - mmseg - INFO - Iter [21850/80000] lr: 1.044e-06, eta: 1 day, 7:39:22, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4099, decode.loss_mask: 0.5889, decode.loss_dice: 0.8364, decode.d0.loss_cls: 1.4246, decode.d0.loss_mask: 0.6448, decode.d0.loss_dice: 0.9496, decode.d1.loss_cls: 0.4984, decode.d1.loss_mask: 0.6168, decode.d1.loss_dice: 0.8996, decode.d2.loss_cls: 0.4505, decode.d2.loss_mask: 0.5919, decode.d2.loss_dice: 0.8613, decode.d3.loss_cls: 0.4301, decode.d3.loss_mask: 0.5911, decode.d3.loss_dice: 0.8469, decode.d4.loss_cls: 0.4215, decode.d4.loss_mask: 0.5900, decode.d4.loss_dice: 0.8471, decode.d5.loss_cls: 0.4143, decode.d5.loss_mask: 0.5922, decode.d5.loss_dice: 0.8401, decode.d6.loss_cls: 0.4102, decode.d6.loss_mask: 0.5896, decode.d6.loss_dice: 0.8329, decode.d7.loss_cls: 0.4068, decode.d7.loss_mask: 0.5898, decode.d7.loss_dice: 0.8360, decode.d8.loss_cls: 0.4073, decode.d8.loss_mask: 0.5912, decode.d8.loss_dice: 0.8355, loss: 19.8454 2022-05-01 03:40:28,731 - mmseg - INFO - Iter [21900/80000] lr: 1.043e-06, eta: 1 day, 7:37:34, time: 1.885, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4079, decode.loss_mask: 0.5652, decode.loss_dice: 0.8471, decode.d0.loss_cls: 1.4531, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9637, decode.d1.loss_cls: 0.5039, decode.d1.loss_mask: 0.5987, decode.d1.loss_dice: 0.8988, decode.d2.loss_cls: 0.4529, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8726, decode.d3.loss_cls: 0.4322, decode.d3.loss_mask: 0.5751, decode.d3.loss_dice: 0.8600, decode.d4.loss_cls: 0.4190, decode.d4.loss_mask: 0.5753, decode.d4.loss_dice: 0.8616, decode.d5.loss_cls: 0.4118, decode.d5.loss_mask: 0.5752, decode.d5.loss_dice: 0.8574, decode.d6.loss_cls: 0.4125, decode.d6.loss_mask: 0.5664, decode.d6.loss_dice: 0.8405, decode.d7.loss_cls: 0.4125, decode.d7.loss_mask: 0.5660, decode.d7.loss_dice: 0.8457, decode.d8.loss_cls: 0.4122, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8450, loss: 19.7957 2022-05-01 03:42:02,629 - mmseg - INFO - Iter [21950/80000] lr: 1.042e-06, eta: 1 day, 7:35:45, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4173, decode.loss_mask: 0.5716, decode.loss_dice: 0.8298, decode.d0.loss_cls: 1.4654, decode.d0.loss_mask: 0.6196, decode.d0.loss_dice: 0.9519, decode.d1.loss_cls: 0.5157, decode.d1.loss_mask: 0.6008, decode.d1.loss_dice: 0.9071, decode.d2.loss_cls: 0.4640, decode.d2.loss_mask: 0.5822, decode.d2.loss_dice: 0.8746, decode.d3.loss_cls: 0.4389, decode.d3.loss_mask: 0.5773, decode.d3.loss_dice: 0.8455, decode.d4.loss_cls: 0.4268, decode.d4.loss_mask: 0.5807, decode.d4.loss_dice: 0.8506, decode.d5.loss_cls: 0.4209, decode.d5.loss_mask: 0.5766, decode.d5.loss_dice: 0.8496, decode.d6.loss_cls: 0.4236, decode.d6.loss_mask: 0.5743, decode.d6.loss_dice: 0.8316, decode.d7.loss_cls: 0.4161, decode.d7.loss_mask: 0.5753, decode.d7.loss_dice: 0.8358, decode.d8.loss_cls: 0.4207, decode.d8.loss_mask: 0.5716, decode.d8.loss_dice: 0.8292, loss: 19.8451 2022-05-01 03:43:36,977 - mmseg - INFO - Saving checkpoint at 22000 iterations 2022-05-01 03:44:07,992 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 03:44:08,000 - mmseg - INFO - Iter [22000/80000] lr: 1.041e-06, eta: 1 day, 7:35:19, time: 2.505, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4155, decode.loss_mask: 0.5651, decode.loss_dice: 0.8156, decode.d0.loss_cls: 1.4652, decode.d0.loss_mask: 0.6132, decode.d0.loss_dice: 0.9395, decode.d1.loss_cls: 0.4992, decode.d1.loss_mask: 0.5926, decode.d1.loss_dice: 0.8884, decode.d2.loss_cls: 0.4545, decode.d2.loss_mask: 0.5768, decode.d2.loss_dice: 0.8485, decode.d3.loss_cls: 0.4340, decode.d3.loss_mask: 0.5702, decode.d3.loss_dice: 0.8249, decode.d4.loss_cls: 0.4232, decode.d4.loss_mask: 0.5664, decode.d4.loss_dice: 0.8242, decode.d5.loss_cls: 0.4232, decode.d5.loss_mask: 0.5620, decode.d5.loss_dice: 0.8269, decode.d6.loss_cls: 0.4106, decode.d6.loss_mask: 0.5629, decode.d6.loss_dice: 0.8173, decode.d7.loss_cls: 0.4066, decode.d7.loss_mask: 0.5608, decode.d7.loss_dice: 0.8190, decode.d8.loss_cls: 0.4060, decode.d8.loss_mask: 0.5662, decode.d8.loss_dice: 0.8221, loss: 19.5005 2022-05-01 03:45:42,631 - mmseg - INFO - Iter [22050/80000] lr: 1.040e-06, eta: 1 day, 7:33:32, time: 1.894, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4151, decode.loss_mask: 0.5957, decode.loss_dice: 0.8597, decode.d0.loss_cls: 1.4495, decode.d0.loss_mask: 0.6513, decode.d0.loss_dice: 0.9825, decode.d1.loss_cls: 0.5170, decode.d1.loss_mask: 0.6217, decode.d1.loss_dice: 0.9256, decode.d2.loss_cls: 0.4685, decode.d2.loss_mask: 0.6114, decode.d2.loss_dice: 0.8783, decode.d3.loss_cls: 0.4356, decode.d3.loss_mask: 0.6001, decode.d3.loss_dice: 0.8658, decode.d4.loss_cls: 0.4271, decode.d4.loss_mask: 0.6017, decode.d4.loss_dice: 0.8637, decode.d5.loss_cls: 0.4253, decode.d5.loss_mask: 0.6029, decode.d5.loss_dice: 0.8621, decode.d6.loss_cls: 0.4168, decode.d6.loss_mask: 0.5971, decode.d6.loss_dice: 0.8596, decode.d7.loss_cls: 0.4094, decode.d7.loss_mask: 0.6004, decode.d7.loss_dice: 0.8585, decode.d8.loss_cls: 0.4106, decode.d8.loss_mask: 0.5961, decode.d8.loss_dice: 0.8574, loss: 20.2667 2022-05-01 03:47:16,550 - mmseg - INFO - Iter [22100/80000] lr: 1.039e-06, eta: 1 day, 7:31:44, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4020, decode.loss_mask: 0.5807, decode.loss_dice: 0.8505, decode.d0.loss_cls: 1.4338, decode.d0.loss_mask: 0.6292, decode.d0.loss_dice: 0.9716, decode.d1.loss_cls: 0.4814, decode.d1.loss_mask: 0.6067, decode.d1.loss_dice: 0.9106, decode.d2.loss_cls: 0.4370, decode.d2.loss_mask: 0.5952, decode.d2.loss_dice: 0.8746, decode.d3.loss_cls: 0.4102, decode.d3.loss_mask: 0.5920, decode.d3.loss_dice: 0.8653, decode.d4.loss_cls: 0.4012, decode.d4.loss_mask: 0.5883, decode.d4.loss_dice: 0.8639, decode.d5.loss_cls: 0.3988, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8596, decode.d6.loss_cls: 0.3982, decode.d6.loss_mask: 0.5851, decode.d6.loss_dice: 0.8586, decode.d7.loss_cls: 0.3991, decode.d7.loss_mask: 0.5842, decode.d7.loss_dice: 0.8562, decode.d8.loss_cls: 0.3966, decode.d8.loss_mask: 0.5831, decode.d8.loss_dice: 0.8519, loss: 19.8561 2022-05-01 03:48:51,093 - mmseg - INFO - Iter [22150/80000] lr: 1.038e-06, eta: 1 day, 7:29:56, time: 1.889, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4065, decode.loss_mask: 0.5895, decode.loss_dice: 0.8421, decode.d0.loss_cls: 1.4306, decode.d0.loss_mask: 0.6437, decode.d0.loss_dice: 0.9609, decode.d1.loss_cls: 0.4936, decode.d1.loss_mask: 0.6262, decode.d1.loss_dice: 0.9122, decode.d2.loss_cls: 0.4397, decode.d2.loss_mask: 0.6069, decode.d2.loss_dice: 0.8804, decode.d3.loss_cls: 0.4329, decode.d3.loss_mask: 0.5966, decode.d3.loss_dice: 0.8600, decode.d4.loss_cls: 0.4215, decode.d4.loss_mask: 0.5919, decode.d4.loss_dice: 0.8566, decode.d5.loss_cls: 0.4181, decode.d5.loss_mask: 0.5892, decode.d5.loss_dice: 0.8527, decode.d6.loss_cls: 0.4001, decode.d6.loss_mask: 0.5888, decode.d6.loss_dice: 0.8472, decode.d7.loss_cls: 0.4055, decode.d7.loss_mask: 0.5877, decode.d7.loss_dice: 0.8442, decode.d8.loss_cls: 0.4044, decode.d8.loss_mask: 0.5882, decode.d8.loss_dice: 0.8453, loss: 19.9633 2022-05-01 03:50:26,436 - mmseg - INFO - Iter [22200/80000] lr: 1.037e-06, eta: 1 day, 7:28:12, time: 1.908, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3932, decode.loss_mask: 0.5722, decode.loss_dice: 0.8308, decode.d0.loss_cls: 1.4657, decode.d0.loss_mask: 0.6201, decode.d0.loss_dice: 0.9470, decode.d1.loss_cls: 0.5002, decode.d1.loss_mask: 0.5951, decode.d1.loss_dice: 0.8975, decode.d2.loss_cls: 0.4333, decode.d2.loss_mask: 0.5810, decode.d2.loss_dice: 0.8611, decode.d3.loss_cls: 0.4156, decode.d3.loss_mask: 0.5734, decode.d3.loss_dice: 0.8407, decode.d4.loss_cls: 0.4065, decode.d4.loss_mask: 0.5712, decode.d4.loss_dice: 0.8370, decode.d5.loss_cls: 0.3961, decode.d5.loss_mask: 0.5734, decode.d5.loss_dice: 0.8372, decode.d6.loss_cls: 0.3953, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8269, decode.d7.loss_cls: 0.3945, decode.d7.loss_mask: 0.5702, decode.d7.loss_dice: 0.8279, decode.d8.loss_cls: 0.3932, decode.d8.loss_mask: 0.5703, decode.d8.loss_dice: 0.8228, loss: 19.5165 2022-05-01 03:52:01,074 - mmseg - INFO - Iter [22250/80000] lr: 1.036e-06, eta: 1 day, 7:26:25, time: 1.893, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4115, decode.loss_mask: 0.6049, decode.loss_dice: 0.8549, decode.d0.loss_cls: 1.4532, decode.d0.loss_mask: 0.6522, decode.d0.loss_dice: 0.9778, decode.d1.loss_cls: 0.5127, decode.d1.loss_mask: 0.6347, decode.d1.loss_dice: 0.9308, decode.d2.loss_cls: 0.4531, decode.d2.loss_mask: 0.6210, decode.d2.loss_dice: 0.8913, decode.d3.loss_cls: 0.4369, decode.d3.loss_mask: 0.6152, decode.d3.loss_dice: 0.8709, decode.d4.loss_cls: 0.4222, decode.d4.loss_mask: 0.6086, decode.d4.loss_dice: 0.8639, decode.d5.loss_cls: 0.4121, decode.d5.loss_mask: 0.6074, decode.d5.loss_dice: 0.8650, decode.d6.loss_cls: 0.4073, decode.d6.loss_mask: 0.6051, decode.d6.loss_dice: 0.8546, decode.d7.loss_cls: 0.4070, decode.d7.loss_mask: 0.6081, decode.d7.loss_dice: 0.8543, decode.d8.loss_cls: 0.4122, decode.d8.loss_mask: 0.6020, decode.d8.loss_dice: 0.8555, loss: 20.3063 2022-05-01 03:53:34,864 - mmseg - INFO - Iter [22300/80000] lr: 1.036e-06, eta: 1 day, 7:24:36, time: 1.876, data_time: 0.020, memory: 64716, decode.loss_cls: 0.4173, decode.loss_mask: 0.5870, decode.loss_dice: 0.8596, decode.d0.loss_cls: 1.4764, decode.d0.loss_mask: 0.6374, decode.d0.loss_dice: 0.9937, decode.d1.loss_cls: 0.5034, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9335, decode.d2.loss_cls: 0.4591, decode.d2.loss_mask: 0.6019, decode.d2.loss_dice: 0.8937, decode.d3.loss_cls: 0.4437, decode.d3.loss_mask: 0.5918, decode.d3.loss_dice: 0.8716, decode.d4.loss_cls: 0.4319, decode.d4.loss_mask: 0.5876, decode.d4.loss_dice: 0.8685, decode.d5.loss_cls: 0.4261, decode.d5.loss_mask: 0.5871, decode.d5.loss_dice: 0.8694, decode.d6.loss_cls: 0.4259, decode.d6.loss_mask: 0.5841, decode.d6.loss_dice: 0.8599, decode.d7.loss_cls: 0.4245, decode.d7.loss_mask: 0.5829, decode.d7.loss_dice: 0.8625, decode.d8.loss_cls: 0.4155, decode.d8.loss_mask: 0.5870, decode.d8.loss_dice: 0.8566, loss: 20.2571 2022-05-01 03:55:08,749 - mmseg - INFO - Iter [22350/80000] lr: 1.035e-06, eta: 1 day, 7:22:48, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4283, decode.loss_mask: 0.5941, decode.loss_dice: 0.8712, decode.d0.loss_cls: 1.4711, decode.d0.loss_mask: 0.6478, decode.d0.loss_dice: 1.0003, decode.d1.loss_cls: 0.5145, decode.d1.loss_mask: 0.6214, decode.d1.loss_dice: 0.9399, decode.d2.loss_cls: 0.4677, decode.d2.loss_mask: 0.6087, decode.d2.loss_dice: 0.9016, decode.d3.loss_cls: 0.4524, decode.d3.loss_mask: 0.5992, decode.d3.loss_dice: 0.8838, decode.d4.loss_cls: 0.4366, decode.d4.loss_mask: 0.6017, decode.d4.loss_dice: 0.8806, decode.d5.loss_cls: 0.4383, decode.d5.loss_mask: 0.5972, decode.d5.loss_dice: 0.8857, decode.d6.loss_cls: 0.4304, decode.d6.loss_mask: 0.5952, decode.d6.loss_dice: 0.8701, decode.d7.loss_cls: 0.4282, decode.d7.loss_mask: 0.5939, decode.d7.loss_dice: 0.8767, decode.d8.loss_cls: 0.4290, decode.d8.loss_mask: 0.5946, decode.d8.loss_dice: 0.8766, loss: 20.5371 2022-05-01 03:56:43,250 - mmseg - INFO - Iter [22400/80000] lr: 1.034e-06, eta: 1 day, 7:21:00, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3921, decode.loss_mask: 0.5921, decode.loss_dice: 0.8431, decode.d0.loss_cls: 1.4174, decode.d0.loss_mask: 0.6524, decode.d0.loss_dice: 0.9639, decode.d1.loss_cls: 0.4795, decode.d1.loss_mask: 0.6217, decode.d1.loss_dice: 0.9066, decode.d2.loss_cls: 0.4283, decode.d2.loss_mask: 0.6052, decode.d2.loss_dice: 0.8689, decode.d3.loss_cls: 0.4093, decode.d3.loss_mask: 0.5974, decode.d3.loss_dice: 0.8548, decode.d4.loss_cls: 0.4037, decode.d4.loss_mask: 0.5970, decode.d4.loss_dice: 0.8543, decode.d5.loss_cls: 0.4036, decode.d5.loss_mask: 0.5979, decode.d5.loss_dice: 0.8566, decode.d6.loss_cls: 0.3962, decode.d6.loss_mask: 0.5918, decode.d6.loss_dice: 0.8438, decode.d7.loss_cls: 0.3948, decode.d7.loss_mask: 0.5914, decode.d7.loss_dice: 0.8450, decode.d8.loss_cls: 0.3934, decode.d8.loss_mask: 0.5940, decode.d8.loss_dice: 0.8419, loss: 19.8385 2022-05-01 03:58:16,619 - mmseg - INFO - Iter [22450/80000] lr: 1.033e-06, eta: 1 day, 7:19:11, time: 1.869, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4146, decode.loss_mask: 0.6094, decode.loss_dice: 0.8570, decode.d0.loss_cls: 1.4378, decode.d0.loss_mask: 0.6539, decode.d0.loss_dice: 0.9784, decode.d1.loss_cls: 0.5160, decode.d1.loss_mask: 0.6317, decode.d1.loss_dice: 0.9240, decode.d2.loss_cls: 0.4626, decode.d2.loss_mask: 0.6184, decode.d2.loss_dice: 0.8889, decode.d3.loss_cls: 0.4471, decode.d3.loss_mask: 0.6133, decode.d3.loss_dice: 0.8667, decode.d4.loss_cls: 0.4337, decode.d4.loss_mask: 0.6114, decode.d4.loss_dice: 0.8704, decode.d5.loss_cls: 0.4245, decode.d5.loss_mask: 0.6101, decode.d5.loss_dice: 0.8643, decode.d6.loss_cls: 0.4220, decode.d6.loss_mask: 0.6066, decode.d6.loss_dice: 0.8540, decode.d7.loss_cls: 0.4226, decode.d7.loss_mask: 0.6063, decode.d7.loss_dice: 0.8595, decode.d8.loss_cls: 0.4166, decode.d8.loss_mask: 0.6055, decode.d8.loss_dice: 0.8565, loss: 20.3838 2022-05-01 03:59:50,681 - mmseg - INFO - Iter [22500/80000] lr: 1.032e-06, eta: 1 day, 7:17:23, time: 1.881, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4035, decode.loss_mask: 0.5706, decode.loss_dice: 0.8313, decode.d0.loss_cls: 1.4131, decode.d0.loss_mask: 0.6112, decode.d0.loss_dice: 0.9449, decode.d1.loss_cls: 0.4890, decode.d1.loss_mask: 0.6038, decode.d1.loss_dice: 0.9048, decode.d2.loss_cls: 0.4369, decode.d2.loss_mask: 0.5859, decode.d2.loss_dice: 0.8646, decode.d3.loss_cls: 0.4274, decode.d3.loss_mask: 0.5753, decode.d3.loss_dice: 0.8418, decode.d4.loss_cls: 0.4141, decode.d4.loss_mask: 0.5721, decode.d4.loss_dice: 0.8403, decode.d5.loss_cls: 0.4129, decode.d5.loss_mask: 0.5755, decode.d5.loss_dice: 0.8338, decode.d6.loss_cls: 0.4063, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8271, decode.d7.loss_cls: 0.3999, decode.d7.loss_mask: 0.5761, decode.d7.loss_dice: 0.8313, decode.d8.loss_cls: 0.4006, decode.d8.loss_mask: 0.5732, decode.d8.loss_dice: 0.8321, loss: 19.5731 2022-05-01 04:01:25,486 - mmseg - INFO - Iter [22550/80000] lr: 1.031e-06, eta: 1 day, 7:15:37, time: 1.896, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3959, decode.loss_mask: 0.5861, decode.loss_dice: 0.8489, decode.d0.loss_cls: 1.4474, decode.d0.loss_mask: 0.6341, decode.d0.loss_dice: 0.9775, decode.d1.loss_cls: 0.4895, decode.d1.loss_mask: 0.6138, decode.d1.loss_dice: 0.9158, decode.d2.loss_cls: 0.4373, decode.d2.loss_mask: 0.5970, decode.d2.loss_dice: 0.8848, decode.d3.loss_cls: 0.4174, decode.d3.loss_mask: 0.5962, decode.d3.loss_dice: 0.8624, decode.d4.loss_cls: 0.4065, decode.d4.loss_mask: 0.5929, decode.d4.loss_dice: 0.8664, decode.d5.loss_cls: 0.4011, decode.d5.loss_mask: 0.5897, decode.d5.loss_dice: 0.8639, decode.d6.loss_cls: 0.4013, decode.d6.loss_mask: 0.5856, decode.d6.loss_dice: 0.8535, decode.d7.loss_cls: 0.3978, decode.d7.loss_mask: 0.5861, decode.d7.loss_dice: 0.8525, decode.d8.loss_cls: 0.3951, decode.d8.loss_mask: 0.5855, decode.d8.loss_dice: 0.8498, loss: 19.9318 2022-05-01 04:02:58,863 - mmseg - INFO - Iter [22600/80000] lr: 1.030e-06, eta: 1 day, 7:13:47, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4216, decode.loss_mask: 0.5830, decode.loss_dice: 0.8486, decode.d0.loss_cls: 1.4539, decode.d0.loss_mask: 0.6268, decode.d0.loss_dice: 0.9680, decode.d1.loss_cls: 0.4943, decode.d1.loss_mask: 0.6120, decode.d1.loss_dice: 0.9097, decode.d2.loss_cls: 0.4591, decode.d2.loss_mask: 0.5934, decode.d2.loss_dice: 0.8787, decode.d3.loss_cls: 0.4359, decode.d3.loss_mask: 0.5841, decode.d3.loss_dice: 0.8605, decode.d4.loss_cls: 0.4282, decode.d4.loss_mask: 0.5844, decode.d4.loss_dice: 0.8550, decode.d5.loss_cls: 0.4272, decode.d5.loss_mask: 0.5837, decode.d5.loss_dice: 0.8561, decode.d6.loss_cls: 0.4218, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8464, decode.d7.loss_cls: 0.4236, decode.d7.loss_mask: 0.5811, decode.d7.loss_dice: 0.8532, decode.d8.loss_cls: 0.4237, decode.d8.loss_mask: 0.5809, decode.d8.loss_dice: 0.8475, loss: 20.0234 2022-05-01 04:04:32,734 - mmseg - INFO - Iter [22650/80000] lr: 1.029e-06, eta: 1 day, 7:11:59, time: 1.878, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4146, decode.loss_mask: 0.5825, decode.loss_dice: 0.8427, decode.d0.loss_cls: 1.4618, decode.d0.loss_mask: 0.6300, decode.d0.loss_dice: 0.9488, decode.d1.loss_cls: 0.5060, decode.d1.loss_mask: 0.6107, decode.d1.loss_dice: 0.9094, decode.d2.loss_cls: 0.4596, decode.d2.loss_mask: 0.5915, decode.d2.loss_dice: 0.8729, decode.d3.loss_cls: 0.4346, decode.d3.loss_mask: 0.5862, decode.d3.loss_dice: 0.8528, decode.d4.loss_cls: 0.4324, decode.d4.loss_mask: 0.5861, decode.d4.loss_dice: 0.8520, decode.d5.loss_cls: 0.4264, decode.d5.loss_mask: 0.5850, decode.d5.loss_dice: 0.8533, decode.d6.loss_cls: 0.4178, decode.d6.loss_mask: 0.5796, decode.d6.loss_dice: 0.8443, decode.d7.loss_cls: 0.4136, decode.d7.loss_mask: 0.5828, decode.d7.loss_dice: 0.8454, decode.d8.loss_cls: 0.4133, decode.d8.loss_mask: 0.5805, decode.d8.loss_dice: 0.8442, loss: 19.9608 2022-05-01 04:06:07,119 - mmseg - INFO - Iter [22700/80000] lr: 1.028e-06, eta: 1 day, 7:10:12, time: 1.888, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3986, decode.loss_mask: 0.6032, decode.loss_dice: 0.8542, decode.d0.loss_cls: 1.3899, decode.d0.loss_mask: 0.6544, decode.d0.loss_dice: 0.9716, decode.d1.loss_cls: 0.4814, decode.d1.loss_mask: 0.6323, decode.d1.loss_dice: 0.9288, decode.d2.loss_cls: 0.4365, decode.d2.loss_mask: 0.6217, decode.d2.loss_dice: 0.8991, decode.d3.loss_cls: 0.4204, decode.d3.loss_mask: 0.6079, decode.d3.loss_dice: 0.8678, decode.d4.loss_cls: 0.4150, decode.d4.loss_mask: 0.6071, decode.d4.loss_dice: 0.8650, decode.d5.loss_cls: 0.4071, decode.d5.loss_mask: 0.6091, decode.d5.loss_dice: 0.8610, decode.d6.loss_cls: 0.4011, decode.d6.loss_mask: 0.6051, decode.d6.loss_dice: 0.8480, decode.d7.loss_cls: 0.4013, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.8550, decode.d8.loss_cls: 0.3919, decode.d8.loss_mask: 0.6084, decode.d8.loss_dice: 0.8530, loss: 20.1009 2022-05-01 04:07:41,230 - mmseg - INFO - Iter [22750/80000] lr: 1.028e-06, eta: 1 day, 7:08:25, time: 1.882, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4458, decode.loss_mask: 0.5794, decode.loss_dice: 0.8457, decode.d0.loss_cls: 1.4988, decode.d0.loss_mask: 0.6377, decode.d0.loss_dice: 0.9862, decode.d1.loss_cls: 0.5305, decode.d1.loss_mask: 0.6140, decode.d1.loss_dice: 0.9279, decode.d2.loss_cls: 0.4844, decode.d2.loss_mask: 0.5905, decode.d2.loss_dice: 0.8834, decode.d3.loss_cls: 0.4701, decode.d3.loss_mask: 0.5873, decode.d3.loss_dice: 0.8654, decode.d4.loss_cls: 0.4523, decode.d4.loss_mask: 0.5867, decode.d4.loss_dice: 0.8589, decode.d5.loss_cls: 0.4519, decode.d5.loss_mask: 0.5825, decode.d5.loss_dice: 0.8546, decode.d6.loss_cls: 0.4511, decode.d6.loss_mask: 0.5776, decode.d6.loss_dice: 0.8457, decode.d7.loss_cls: 0.4447, decode.d7.loss_mask: 0.5817, decode.d7.loss_dice: 0.8459, decode.d8.loss_cls: 0.4423, decode.d8.loss_mask: 0.5797, decode.d8.loss_dice: 0.8469, loss: 20.3494 2022-05-01 04:09:16,567 - mmseg - INFO - Iter [22800/80000] lr: 1.027e-06, eta: 1 day, 7:06:40, time: 1.908, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3919, decode.loss_mask: 0.5807, decode.loss_dice: 0.8471, decode.d0.loss_cls: 1.4350, decode.d0.loss_mask: 0.6314, decode.d0.loss_dice: 0.9631, decode.d1.loss_cls: 0.4873, decode.d1.loss_mask: 0.6096, decode.d1.loss_dice: 0.9183, decode.d2.loss_cls: 0.4336, decode.d2.loss_mask: 0.5893, decode.d2.loss_dice: 0.8811, decode.d3.loss_cls: 0.4174, decode.d3.loss_mask: 0.5855, decode.d3.loss_dice: 0.8550, decode.d4.loss_cls: 0.4039, decode.d4.loss_mask: 0.5805, decode.d4.loss_dice: 0.8590, decode.d5.loss_cls: 0.4067, decode.d5.loss_mask: 0.5775, decode.d5.loss_dice: 0.8562, decode.d6.loss_cls: 0.3994, decode.d6.loss_mask: 0.5777, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.4047, decode.d7.loss_mask: 0.5760, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.4011, decode.d8.loss_mask: 0.5792, decode.d8.loss_dice: 0.8450, loss: 19.7830 2022-05-01 04:10:50,763 - mmseg - INFO - Iter [22850/80000] lr: 1.026e-06, eta: 1 day, 7:04:53, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3947, decode.loss_mask: 0.5636, decode.loss_dice: 0.8416, decode.d0.loss_cls: 1.4616, decode.d0.loss_mask: 0.6085, decode.d0.loss_dice: 0.9602, decode.d1.loss_cls: 0.4822, decode.d1.loss_mask: 0.5922, decode.d1.loss_dice: 0.9119, decode.d2.loss_cls: 0.4327, decode.d2.loss_mask: 0.5776, decode.d2.loss_dice: 0.8749, decode.d3.loss_cls: 0.4200, decode.d3.loss_mask: 0.5693, decode.d3.loss_dice: 0.8509, decode.d4.loss_cls: 0.4079, decode.d4.loss_mask: 0.5665, decode.d4.loss_dice: 0.8545, decode.d5.loss_cls: 0.4086, decode.d5.loss_mask: 0.5669, decode.d5.loss_dice: 0.8504, decode.d6.loss_cls: 0.4015, decode.d6.loss_mask: 0.5630, decode.d6.loss_dice: 0.8427, decode.d7.loss_cls: 0.4003, decode.d7.loss_mask: 0.5618, decode.d7.loss_dice: 0.8453, decode.d8.loss_cls: 0.3949, decode.d8.loss_mask: 0.5612, decode.d8.loss_dice: 0.8444, loss: 19.6118 2022-05-01 04:12:25,683 - mmseg - INFO - Iter [22900/80000] lr: 1.025e-06, eta: 1 day, 7:03:08, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4161, decode.loss_mask: 0.5977, decode.loss_dice: 0.8618, decode.d0.loss_cls: 1.4460, decode.d0.loss_mask: 0.6527, decode.d0.loss_dice: 0.9967, decode.d1.loss_cls: 0.5011, decode.d1.loss_mask: 0.6290, decode.d1.loss_dice: 0.9469, decode.d2.loss_cls: 0.4554, decode.d2.loss_mask: 0.6066, decode.d2.loss_dice: 0.9038, decode.d3.loss_cls: 0.4339, decode.d3.loss_mask: 0.6031, decode.d3.loss_dice: 0.8825, decode.d4.loss_cls: 0.4208, decode.d4.loss_mask: 0.6004, decode.d4.loss_dice: 0.8806, decode.d5.loss_cls: 0.4194, decode.d5.loss_mask: 0.5985, decode.d5.loss_dice: 0.8769, decode.d6.loss_cls: 0.4187, decode.d6.loss_mask: 0.5957, decode.d6.loss_dice: 0.8630, decode.d7.loss_cls: 0.4142, decode.d7.loss_mask: 0.5962, decode.d7.loss_dice: 0.8678, decode.d8.loss_cls: 0.4144, decode.d8.loss_mask: 0.5968, decode.d8.loss_dice: 0.8649, loss: 20.3614 2022-05-01 04:13:57,819 - mmseg - INFO - Iter [22950/80000] lr: 1.024e-06, eta: 1 day, 7:01:16, time: 1.842, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3978, decode.loss_mask: 0.5515, decode.loss_dice: 0.8152, decode.d0.loss_cls: 1.4642, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9341, decode.d1.loss_cls: 0.4947, decode.d1.loss_mask: 0.5800, decode.d1.loss_dice: 0.8747, decode.d2.loss_cls: 0.4458, decode.d2.loss_mask: 0.5646, decode.d2.loss_dice: 0.8394, decode.d3.loss_cls: 0.4220, decode.d3.loss_mask: 0.5538, decode.d3.loss_dice: 0.8206, decode.d4.loss_cls: 0.4168, decode.d4.loss_mask: 0.5489, decode.d4.loss_dice: 0.8179, decode.d5.loss_cls: 0.4092, decode.d5.loss_mask: 0.5492, decode.d5.loss_dice: 0.8207, decode.d6.loss_cls: 0.4000, decode.d6.loss_mask: 0.5488, decode.d6.loss_dice: 0.8091, decode.d7.loss_cls: 0.4020, decode.d7.loss_mask: 0.5509, decode.d7.loss_dice: 0.8135, decode.d8.loss_cls: 0.3968, decode.d8.loss_mask: 0.5481, decode.d8.loss_dice: 0.8168, loss: 19.2062 2022-05-01 04:15:32,401 - mmseg - INFO - Saving checkpoint at 23000 iterations 2022-05-01 04:15:50,795 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 04:15:50,798 - mmseg - INFO - Iter [23000/80000] lr: 1.023e-06, eta: 1 day, 7:00:15, time: 2.258, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3708, decode.loss_mask: 0.5609, decode.loss_dice: 0.8222, decode.d0.loss_cls: 1.4104, decode.d0.loss_mask: 0.6143, decode.d0.loss_dice: 0.9381, decode.d1.loss_cls: 0.4570, decode.d1.loss_mask: 0.6007, decode.d1.loss_dice: 0.8889, decode.d2.loss_cls: 0.4082, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8509, decode.d3.loss_cls: 0.3964, decode.d3.loss_mask: 0.5667, decode.d3.loss_dice: 0.8357, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5688, decode.d4.loss_dice: 0.8346, decode.d5.loss_cls: 0.3802, decode.d5.loss_mask: 0.5666, decode.d5.loss_dice: 0.8320, decode.d6.loss_cls: 0.3709, decode.d6.loss_mask: 0.5648, decode.d6.loss_dice: 0.8185, decode.d7.loss_cls: 0.3721, decode.d7.loss_mask: 0.5653, decode.d7.loss_dice: 0.8214, decode.d8.loss_cls: 0.3674, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8207, loss: 19.1271 2022-05-01 04:17:24,851 - mmseg - INFO - Iter [23050/80000] lr: 1.022e-06, eta: 1 day, 6:58:28, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4052, decode.loss_mask: 0.5792, decode.loss_dice: 0.8519, decode.d0.loss_cls: 1.4232, decode.d0.loss_mask: 0.6314, decode.d0.loss_dice: 0.9832, decode.d1.loss_cls: 0.4968, decode.d1.loss_mask: 0.6134, decode.d1.loss_dice: 0.9172, decode.d2.loss_cls: 0.4445, decode.d2.loss_mask: 0.5961, decode.d2.loss_dice: 0.8820, decode.d3.loss_cls: 0.4295, decode.d3.loss_mask: 0.5895, decode.d3.loss_dice: 0.8682, decode.d4.loss_cls: 0.4166, decode.d4.loss_mask: 0.5878, decode.d4.loss_dice: 0.8651, decode.d5.loss_cls: 0.4098, decode.d5.loss_mask: 0.5831, decode.d5.loss_dice: 0.8638, decode.d6.loss_cls: 0.4075, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.8572, decode.d7.loss_cls: 0.4079, decode.d7.loss_mask: 0.5815, decode.d7.loss_dice: 0.8519, decode.d8.loss_cls: 0.4036, decode.d8.loss_mask: 0.5799, decode.d8.loss_dice: 0.8541, loss: 19.9592 2022-05-01 04:18:58,376 - mmseg - INFO - Iter [23100/80000] lr: 1.021e-06, eta: 1 day, 6:56:39, time: 1.870, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4083, decode.loss_mask: 0.5599, decode.loss_dice: 0.8248, decode.d0.loss_cls: 1.4617, decode.d0.loss_mask: 0.6020, decode.d0.loss_dice: 0.9503, decode.d1.loss_cls: 0.5092, decode.d1.loss_mask: 0.5842, decode.d1.loss_dice: 0.8869, decode.d2.loss_cls: 0.4446, decode.d2.loss_mask: 0.5709, decode.d2.loss_dice: 0.8516, decode.d3.loss_cls: 0.4321, decode.d3.loss_mask: 0.5668, decode.d3.loss_dice: 0.8392, decode.d4.loss_cls: 0.4269, decode.d4.loss_mask: 0.5593, decode.d4.loss_dice: 0.8359, decode.d5.loss_cls: 0.4206, decode.d5.loss_mask: 0.5632, decode.d5.loss_dice: 0.8306, decode.d6.loss_cls: 0.4132, decode.d6.loss_mask: 0.5570, decode.d6.loss_dice: 0.8207, decode.d7.loss_cls: 0.4144, decode.d7.loss_mask: 0.5573, decode.d7.loss_dice: 0.8257, decode.d8.loss_cls: 0.4109, decode.d8.loss_mask: 0.5592, decode.d8.loss_dice: 0.8284, loss: 19.5157 2022-05-01 04:20:31,860 - mmseg - INFO - Iter [23150/80000] lr: 1.020e-06, eta: 1 day, 6:54:50, time: 1.869, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4206, decode.loss_mask: 0.5605, decode.loss_dice: 0.8311, decode.d0.loss_cls: 1.4341, decode.d0.loss_mask: 0.6062, decode.d0.loss_dice: 0.9543, decode.d1.loss_cls: 0.4991, decode.d1.loss_mask: 0.5896, decode.d1.loss_dice: 0.8944, decode.d2.loss_cls: 0.4561, decode.d2.loss_mask: 0.5723, decode.d2.loss_dice: 0.8648, decode.d3.loss_cls: 0.4317, decode.d3.loss_mask: 0.5691, decode.d3.loss_dice: 0.8452, decode.d4.loss_cls: 0.4347, decode.d4.loss_mask: 0.5646, decode.d4.loss_dice: 0.8336, decode.d5.loss_cls: 0.4222, decode.d5.loss_mask: 0.5659, decode.d5.loss_dice: 0.8421, decode.d6.loss_cls: 0.4190, decode.d6.loss_mask: 0.5635, decode.d6.loss_dice: 0.8311, decode.d7.loss_cls: 0.4204, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8310, decode.d8.loss_cls: 0.4170, decode.d8.loss_mask: 0.5615, decode.d8.loss_dice: 0.8323, loss: 19.6317 2022-05-01 04:22:07,805 - mmseg - INFO - Iter [23200/80000] lr: 1.019e-06, eta: 1 day, 6:53:08, time: 1.917, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3944, decode.loss_mask: 0.5846, decode.loss_dice: 0.8393, decode.d0.loss_cls: 1.4445, decode.d0.loss_mask: 0.6301, decode.d0.loss_dice: 0.9637, decode.d1.loss_cls: 0.4823, decode.d1.loss_mask: 0.6112, decode.d1.loss_dice: 0.9103, decode.d2.loss_cls: 0.4384, decode.d2.loss_mask: 0.5952, decode.d2.loss_dice: 0.8747, decode.d3.loss_cls: 0.4202, decode.d3.loss_mask: 0.5900, decode.d3.loss_dice: 0.8582, decode.d4.loss_cls: 0.4112, decode.d4.loss_mask: 0.5884, decode.d4.loss_dice: 0.8530, decode.d5.loss_cls: 0.4058, decode.d5.loss_mask: 0.5846, decode.d5.loss_dice: 0.8483, decode.d6.loss_cls: 0.4007, decode.d6.loss_mask: 0.5801, decode.d6.loss_dice: 0.8392, decode.d7.loss_cls: 0.3982, decode.d7.loss_mask: 0.5816, decode.d7.loss_dice: 0.8420, decode.d8.loss_cls: 0.3996, decode.d8.loss_mask: 0.5836, decode.d8.loss_dice: 0.8413, loss: 19.7949 2022-05-01 04:23:43,106 - mmseg - INFO - Iter [23250/80000] lr: 1.019e-06, eta: 1 day, 6:51:24, time: 1.907, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3981, decode.loss_mask: 0.5731, decode.loss_dice: 0.8331, decode.d0.loss_cls: 1.4398, decode.d0.loss_mask: 0.6271, decode.d0.loss_dice: 0.9620, decode.d1.loss_cls: 0.4867, decode.d1.loss_mask: 0.6057, decode.d1.loss_dice: 0.8860, decode.d2.loss_cls: 0.4326, decode.d2.loss_mask: 0.5835, decode.d2.loss_dice: 0.8527, decode.d3.loss_cls: 0.4139, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8374, decode.d4.loss_cls: 0.4029, decode.d4.loss_mask: 0.5797, decode.d4.loss_dice: 0.8392, decode.d5.loss_cls: 0.4050, decode.d5.loss_mask: 0.5737, decode.d5.loss_dice: 0.8374, decode.d6.loss_cls: 0.4024, decode.d6.loss_mask: 0.5745, decode.d6.loss_dice: 0.8292, decode.d7.loss_cls: 0.4017, decode.d7.loss_mask: 0.5716, decode.d7.loss_dice: 0.8299, decode.d8.loss_cls: 0.4015, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8390, loss: 19.5747 2022-05-01 04:25:17,413 - mmseg - INFO - Iter [23300/80000] lr: 1.018e-06, eta: 1 day, 6:49:37, time: 1.887, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3873, decode.loss_mask: 0.5831, decode.loss_dice: 0.8474, decode.d0.loss_cls: 1.4157, decode.d0.loss_mask: 0.6400, decode.d0.loss_dice: 0.9672, decode.d1.loss_cls: 0.4822, decode.d1.loss_mask: 0.6126, decode.d1.loss_dice: 0.9174, decode.d2.loss_cls: 0.4232, decode.d2.loss_mask: 0.5986, decode.d2.loss_dice: 0.8810, decode.d3.loss_cls: 0.3973, decode.d3.loss_mask: 0.5948, decode.d3.loss_dice: 0.8616, decode.d4.loss_cls: 0.3976, decode.d4.loss_mask: 0.5890, decode.d4.loss_dice: 0.8621, decode.d5.loss_cls: 0.3960, decode.d5.loss_mask: 0.5888, decode.d5.loss_dice: 0.8540, decode.d6.loss_cls: 0.3879, decode.d6.loss_mask: 0.5846, decode.d6.loss_dice: 0.8505, decode.d7.loss_cls: 0.3865, decode.d7.loss_mask: 0.5861, decode.d7.loss_dice: 0.8517, decode.d8.loss_cls: 0.3874, decode.d8.loss_mask: 0.5849, decode.d8.loss_dice: 0.8505, loss: 19.7673 2022-05-01 04:26:51,311 - mmseg - INFO - Iter [23350/80000] lr: 1.017e-06, eta: 1 day, 6:47:50, time: 1.878, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3965, decode.loss_mask: 0.5794, decode.loss_dice: 0.8460, decode.d0.loss_cls: 1.4286, decode.d0.loss_mask: 0.6266, decode.d0.loss_dice: 0.9592, decode.d1.loss_cls: 0.4815, decode.d1.loss_mask: 0.6057, decode.d1.loss_dice: 0.9138, decode.d2.loss_cls: 0.4290, decode.d2.loss_mask: 0.5957, decode.d2.loss_dice: 0.8786, decode.d3.loss_cls: 0.4110, decode.d3.loss_mask: 0.5864, decode.d3.loss_dice: 0.8621, decode.d4.loss_cls: 0.4061, decode.d4.loss_mask: 0.5833, decode.d4.loss_dice: 0.8579, decode.d5.loss_cls: 0.4025, decode.d5.loss_mask: 0.5843, decode.d5.loss_dice: 0.8529, decode.d6.loss_cls: 0.3989, decode.d6.loss_mask: 0.5805, decode.d6.loss_dice: 0.8462, decode.d7.loss_cls: 0.4035, decode.d7.loss_mask: 0.5767, decode.d7.loss_dice: 0.8469, decode.d8.loss_cls: 0.3972, decode.d8.loss_mask: 0.5783, decode.d8.loss_dice: 0.8464, loss: 19.7617 2022-05-01 04:28:25,214 - mmseg - INFO - Iter [23400/80000] lr: 1.016e-06, eta: 1 day, 6:46:02, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3979, decode.loss_mask: 0.5663, decode.loss_dice: 0.8297, decode.d0.loss_cls: 1.4238, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9453, decode.d1.loss_cls: 0.4751, decode.d1.loss_mask: 0.6025, decode.d1.loss_dice: 0.8985, decode.d2.loss_cls: 0.4325, decode.d2.loss_mask: 0.5822, decode.d2.loss_dice: 0.8603, decode.d3.loss_cls: 0.4180, decode.d3.loss_mask: 0.5748, decode.d3.loss_dice: 0.8493, decode.d4.loss_cls: 0.4151, decode.d4.loss_mask: 0.5743, decode.d4.loss_dice: 0.8441, decode.d5.loss_cls: 0.4121, decode.d5.loss_mask: 0.5686, decode.d5.loss_dice: 0.8415, decode.d6.loss_cls: 0.4067, decode.d6.loss_mask: 0.5690, decode.d6.loss_dice: 0.8279, decode.d7.loss_cls: 0.4036, decode.d7.loss_mask: 0.5671, decode.d7.loss_dice: 0.8297, decode.d8.loss_cls: 0.4041, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8337, loss: 19.5306 2022-05-01 04:29:59,198 - mmseg - INFO - Iter [23450/80000] lr: 1.015e-06, eta: 1 day, 6:44:15, time: 1.881, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4101, decode.loss_mask: 0.5746, decode.loss_dice: 0.8379, decode.d0.loss_cls: 1.4512, decode.d0.loss_mask: 0.6214, decode.d0.loss_dice: 0.9556, decode.d1.loss_cls: 0.4993, decode.d1.loss_mask: 0.6030, decode.d1.loss_dice: 0.9043, decode.d2.loss_cls: 0.4530, decode.d2.loss_mask: 0.5852, decode.d2.loss_dice: 0.8683, decode.d3.loss_cls: 0.4350, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8488, decode.d4.loss_cls: 0.4283, decode.d4.loss_mask: 0.5789, decode.d4.loss_dice: 0.8434, decode.d5.loss_cls: 0.4228, decode.d5.loss_mask: 0.5770, decode.d5.loss_dice: 0.8416, decode.d6.loss_cls: 0.4231, decode.d6.loss_mask: 0.5747, decode.d6.loss_dice: 0.8345, decode.d7.loss_cls: 0.4162, decode.d7.loss_mask: 0.5737, decode.d7.loss_dice: 0.8353, decode.d8.loss_cls: 0.4108, decode.d8.loss_mask: 0.5744, decode.d8.loss_dice: 0.8334, loss: 19.7947 2022-05-01 04:31:35,557 - mmseg - INFO - Iter [23500/80000] lr: 1.014e-06, eta: 1 day, 6:42:33, time: 1.926, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4349, decode.loss_mask: 0.5968, decode.loss_dice: 0.8749, decode.d0.loss_cls: 1.4614, decode.d0.loss_mask: 0.6475, decode.d0.loss_dice: 1.0024, decode.d1.loss_cls: 0.5237, decode.d1.loss_mask: 0.6302, decode.d1.loss_dice: 0.9445, decode.d2.loss_cls: 0.4769, decode.d2.loss_mask: 0.6157, decode.d2.loss_dice: 0.9074, decode.d3.loss_cls: 0.4581, decode.d3.loss_mask: 0.6069, decode.d3.loss_dice: 0.8951, decode.d4.loss_cls: 0.4485, decode.d4.loss_mask: 0.6070, decode.d4.loss_dice: 0.8947, decode.d5.loss_cls: 0.4477, decode.d5.loss_mask: 0.5979, decode.d5.loss_dice: 0.8806, decode.d6.loss_cls: 0.4356, decode.d6.loss_mask: 0.6004, decode.d6.loss_dice: 0.8783, decode.d7.loss_cls: 0.4365, decode.d7.loss_mask: 0.5959, decode.d7.loss_dice: 0.8730, decode.d8.loss_cls: 0.4357, decode.d8.loss_mask: 0.5988, decode.d8.loss_dice: 0.8789, loss: 20.6860 2022-05-01 04:33:09,963 - mmseg - INFO - Iter [23550/80000] lr: 1.013e-06, eta: 1 day, 6:40:47, time: 1.888, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3950, decode.loss_mask: 0.5873, decode.loss_dice: 0.8435, decode.d0.loss_cls: 1.4182, decode.d0.loss_mask: 0.6334, decode.d0.loss_dice: 0.9536, decode.d1.loss_cls: 0.4876, decode.d1.loss_mask: 0.6126, decode.d1.loss_dice: 0.9061, decode.d2.loss_cls: 0.4292, decode.d2.loss_mask: 0.5963, decode.d2.loss_dice: 0.8823, decode.d3.loss_cls: 0.4133, decode.d3.loss_mask: 0.5936, decode.d3.loss_dice: 0.8593, decode.d4.loss_cls: 0.4092, decode.d4.loss_mask: 0.5893, decode.d4.loss_dice: 0.8575, decode.d5.loss_cls: 0.4035, decode.d5.loss_mask: 0.5894, decode.d5.loss_dice: 0.8486, decode.d6.loss_cls: 0.3956, decode.d6.loss_mask: 0.5868, decode.d6.loss_dice: 0.8439, decode.d7.loss_cls: 0.3939, decode.d7.loss_mask: 0.5881, decode.d7.loss_dice: 0.8445, decode.d8.loss_cls: 0.3941, decode.d8.loss_mask: 0.5864, decode.d8.loss_dice: 0.8458, loss: 19.7878 2022-05-01 04:34:43,699 - mmseg - INFO - Iter [23600/80000] lr: 1.012e-06, eta: 1 day, 6:39:00, time: 1.875, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4350, decode.loss_mask: 0.5654, decode.loss_dice: 0.8339, decode.d0.loss_cls: 1.4831, decode.d0.loss_mask: 0.6245, decode.d0.loss_dice: 0.9622, decode.d1.loss_cls: 0.5313, decode.d1.loss_mask: 0.5901, decode.d1.loss_dice: 0.8968, decode.d2.loss_cls: 0.4726, decode.d2.loss_mask: 0.5824, decode.d2.loss_dice: 0.8705, decode.d3.loss_cls: 0.4475, decode.d3.loss_mask: 0.5781, decode.d3.loss_dice: 0.8578, decode.d4.loss_cls: 0.4414, decode.d4.loss_mask: 0.5744, decode.d4.loss_dice: 0.8537, decode.d5.loss_cls: 0.4458, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8462, decode.d6.loss_cls: 0.4363, decode.d6.loss_mask: 0.5688, decode.d6.loss_dice: 0.8371, decode.d7.loss_cls: 0.4327, decode.d7.loss_mask: 0.5684, decode.d7.loss_dice: 0.8369, decode.d8.loss_cls: 0.4350, decode.d8.loss_mask: 0.5679, decode.d8.loss_dice: 0.8375, loss: 19.9819 2022-05-01 04:36:17,607 - mmseg - INFO - Iter [23650/80000] lr: 1.011e-06, eta: 1 day, 6:37:13, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3976, decode.loss_mask: 0.5795, decode.loss_dice: 0.8359, decode.d0.loss_cls: 1.4282, decode.d0.loss_mask: 0.6306, decode.d0.loss_dice: 0.9509, decode.d1.loss_cls: 0.4929, decode.d1.loss_mask: 0.6084, decode.d1.loss_dice: 0.9017, decode.d2.loss_cls: 0.4436, decode.d2.loss_mask: 0.5946, decode.d2.loss_dice: 0.8568, decode.d3.loss_cls: 0.4234, decode.d3.loss_mask: 0.5849, decode.d3.loss_dice: 0.8438, decode.d4.loss_cls: 0.4153, decode.d4.loss_mask: 0.5841, decode.d4.loss_dice: 0.8397, decode.d5.loss_cls: 0.4084, decode.d5.loss_mask: 0.5818, decode.d5.loss_dice: 0.8395, decode.d6.loss_cls: 0.4067, decode.d6.loss_mask: 0.5803, decode.d6.loss_dice: 0.8308, decode.d7.loss_cls: 0.3957, decode.d7.loss_mask: 0.5792, decode.d7.loss_dice: 0.8333, decode.d8.loss_cls: 0.3977, decode.d8.loss_mask: 0.5812, decode.d8.loss_dice: 0.8332, loss: 19.6798 2022-05-01 04:37:52,610 - mmseg - INFO - Iter [23700/80000] lr: 1.010e-06, eta: 1 day, 6:35:28, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3949, decode.loss_mask: 0.5906, decode.loss_dice: 0.8369, decode.d0.loss_cls: 1.4012, decode.d0.loss_mask: 0.6482, decode.d0.loss_dice: 0.9631, decode.d1.loss_cls: 0.4895, decode.d1.loss_mask: 0.6248, decode.d1.loss_dice: 0.9097, decode.d2.loss_cls: 0.4464, decode.d2.loss_mask: 0.6066, decode.d2.loss_dice: 0.8697, decode.d3.loss_cls: 0.4251, decode.d3.loss_mask: 0.5940, decode.d3.loss_dice: 0.8523, decode.d4.loss_cls: 0.4179, decode.d4.loss_mask: 0.5940, decode.d4.loss_dice: 0.8499, decode.d5.loss_cls: 0.4055, decode.d5.loss_mask: 0.5918, decode.d5.loss_dice: 0.8465, decode.d6.loss_cls: 0.3968, decode.d6.loss_mask: 0.5921, decode.d6.loss_dice: 0.8416, decode.d7.loss_cls: 0.3947, decode.d7.loss_mask: 0.5921, decode.d7.loss_dice: 0.8398, decode.d8.loss_cls: 0.3974, decode.d8.loss_mask: 0.5916, decode.d8.loss_dice: 0.8387, loss: 19.8435 2022-05-01 04:39:27,184 - mmseg - INFO - Iter [23750/80000] lr: 1.010e-06, eta: 1 day, 6:33:43, time: 1.891, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3982, decode.loss_mask: 0.5734, decode.loss_dice: 0.7910, decode.d0.loss_cls: 1.3836, decode.d0.loss_mask: 0.6261, decode.d0.loss_dice: 0.9236, decode.d1.loss_cls: 0.4733, decode.d1.loss_mask: 0.5998, decode.d1.loss_dice: 0.8622, decode.d2.loss_cls: 0.4314, decode.d2.loss_mask: 0.5837, decode.d2.loss_dice: 0.8183, decode.d3.loss_cls: 0.4199, decode.d3.loss_mask: 0.5749, decode.d3.loss_dice: 0.8084, decode.d4.loss_cls: 0.4092, decode.d4.loss_mask: 0.5802, decode.d4.loss_dice: 0.8030, decode.d5.loss_cls: 0.4093, decode.d5.loss_mask: 0.5717, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3967, decode.d6.loss_mask: 0.5724, decode.d6.loss_dice: 0.7969, decode.d7.loss_cls: 0.3936, decode.d7.loss_mask: 0.5738, decode.d7.loss_dice: 0.7928, decode.d8.loss_cls: 0.3987, decode.d8.loss_mask: 0.5726, decode.d8.loss_dice: 0.7946, loss: 19.1353 2022-05-01 04:41:02,563 - mmseg - INFO - Iter [23800/80000] lr: 1.009e-06, eta: 1 day, 6:31:59, time: 1.908, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4086, decode.loss_mask: 0.5908, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.4278, decode.d0.loss_mask: 0.6361, decode.d0.loss_dice: 0.9669, decode.d1.loss_cls: 0.4905, decode.d1.loss_mask: 0.6234, decode.d1.loss_dice: 0.9113, decode.d2.loss_cls: 0.4492, decode.d2.loss_mask: 0.6034, decode.d2.loss_dice: 0.8707, decode.d3.loss_cls: 0.4232, decode.d3.loss_mask: 0.5978, decode.d3.loss_dice: 0.8588, decode.d4.loss_cls: 0.4161, decode.d4.loss_mask: 0.5981, decode.d4.loss_dice: 0.8567, decode.d5.loss_cls: 0.4142, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.8499, decode.d6.loss_cls: 0.4077, decode.d6.loss_mask: 0.5914, decode.d6.loss_dice: 0.8441, decode.d7.loss_cls: 0.4039, decode.d7.loss_mask: 0.5911, decode.d7.loss_dice: 0.8470, decode.d8.loss_cls: 0.4025, decode.d8.loss_mask: 0.5927, decode.d8.loss_dice: 0.8452, loss: 19.9514 2022-05-01 04:42:37,716 - mmseg - INFO - Iter [23850/80000] lr: 1.008e-06, eta: 1 day, 6:30:15, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4083, decode.loss_mask: 0.5882, decode.loss_dice: 0.8596, decode.d0.loss_cls: 1.4213, decode.d0.loss_mask: 0.6319, decode.d0.loss_dice: 0.9853, decode.d1.loss_cls: 0.5044, decode.d1.loss_mask: 0.6170, decode.d1.loss_dice: 0.9329, decode.d2.loss_cls: 0.4625, decode.d2.loss_mask: 0.6012, decode.d2.loss_dice: 0.8939, decode.d3.loss_cls: 0.4357, decode.d3.loss_mask: 0.5930, decode.d3.loss_dice: 0.8731, decode.d4.loss_cls: 0.4300, decode.d4.loss_mask: 0.5900, decode.d4.loss_dice: 0.8751, decode.d5.loss_cls: 0.4151, decode.d5.loss_mask: 0.5924, decode.d5.loss_dice: 0.8780, decode.d6.loss_cls: 0.4060, decode.d6.loss_mask: 0.5873, decode.d6.loss_dice: 0.8611, decode.d7.loss_cls: 0.4132, decode.d7.loss_mask: 0.5877, decode.d7.loss_dice: 0.8589, decode.d8.loss_cls: 0.4100, decode.d8.loss_mask: 0.5864, decode.d8.loss_dice: 0.8640, loss: 20.1636 2022-05-01 04:44:12,685 - mmseg - INFO - Iter [23900/80000] lr: 1.007e-06, eta: 1 day, 6:28:31, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4066, decode.loss_mask: 0.5596, decode.loss_dice: 0.8278, decode.d0.loss_cls: 1.4529, decode.d0.loss_mask: 0.6139, decode.d0.loss_dice: 0.9545, decode.d1.loss_cls: 0.4975, decode.d1.loss_mask: 0.5919, decode.d1.loss_dice: 0.8947, decode.d2.loss_cls: 0.4475, decode.d2.loss_mask: 0.5720, decode.d2.loss_dice: 0.8561, decode.d3.loss_cls: 0.4261, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8424, decode.d4.loss_cls: 0.4155, decode.d4.loss_mask: 0.5649, decode.d4.loss_dice: 0.8411, decode.d5.loss_cls: 0.4100, decode.d5.loss_mask: 0.5649, decode.d5.loss_dice: 0.8376, decode.d6.loss_cls: 0.4064, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.8312, decode.d7.loss_cls: 0.4013, decode.d7.loss_mask: 0.5591, decode.d7.loss_dice: 0.8237, decode.d8.loss_cls: 0.4027, decode.d8.loss_mask: 0.5581, decode.d8.loss_dice: 0.8326, loss: 19.5188 2022-05-01 04:45:46,679 - mmseg - INFO - Iter [23950/80000] lr: 1.006e-06, eta: 1 day, 6:26:44, time: 1.882, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4151, decode.loss_mask: 0.5754, decode.loss_dice: 0.8373, decode.d0.loss_cls: 1.4339, decode.d0.loss_mask: 0.6239, decode.d0.loss_dice: 0.9613, decode.d1.loss_cls: 0.5083, decode.d1.loss_mask: 0.5938, decode.d1.loss_dice: 0.9062, decode.d2.loss_cls: 0.4528, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8730, decode.d3.loss_cls: 0.4326, decode.d3.loss_mask: 0.5801, decode.d3.loss_dice: 0.8540, decode.d4.loss_cls: 0.4257, decode.d4.loss_mask: 0.5760, decode.d4.loss_dice: 0.8475, decode.d5.loss_cls: 0.4214, decode.d5.loss_mask: 0.5739, decode.d5.loss_dice: 0.8504, decode.d6.loss_cls: 0.4121, decode.d6.loss_mask: 0.5712, decode.d6.loss_dice: 0.8385, decode.d7.loss_cls: 0.4147, decode.d7.loss_mask: 0.5691, decode.d7.loss_dice: 0.8446, decode.d8.loss_cls: 0.4153, decode.d8.loss_mask: 0.5699, decode.d8.loss_dice: 0.8402, loss: 19.8008 2022-05-01 04:47:18,990 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-05-01 04:47:55,465 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 04:47:55,478 - mmseg - INFO - Iter [24000/80000] lr: 1.005e-06, eta: 1 day, 6:26:19, time: 2.573, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4089, decode.loss_mask: 0.5704, decode.loss_dice: 0.8271, decode.d0.loss_cls: 1.3950, decode.d0.loss_mask: 0.6243, decode.d0.loss_dice: 0.9445, decode.d1.loss_cls: 0.4999, decode.d1.loss_mask: 0.5998, decode.d1.loss_dice: 0.8894, decode.d2.loss_cls: 0.4438, decode.d2.loss_mask: 0.5837, decode.d2.loss_dice: 0.8588, decode.d3.loss_cls: 0.4308, decode.d3.loss_mask: 0.5768, decode.d3.loss_dice: 0.8369, decode.d4.loss_cls: 0.4227, decode.d4.loss_mask: 0.5758, decode.d4.loss_dice: 0.8340, decode.d5.loss_cls: 0.4148, decode.d5.loss_mask: 0.5747, decode.d5.loss_dice: 0.8371, decode.d6.loss_cls: 0.4119, decode.d6.loss_mask: 0.5722, decode.d6.loss_dice: 0.8305, decode.d7.loss_cls: 0.4081, decode.d7.loss_mask: 0.5709, decode.d7.loss_dice: 0.8309, decode.d8.loss_cls: 0.4147, decode.d8.loss_mask: 0.5702, decode.d8.loss_dice: 0.8262, loss: 19.5847 2022-05-01 04:49:59,869 - mmseg - INFO - per class results: 2022-05-01 04:49:59,884 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 81.39 | 87.47 | | building | 84.93 | 90.3 | | sky | 95.07 | 97.14 | | floor | 84.93 | 90.09 | | tree | 78.26 | 90.75 | | ceiling | 88.0 | 94.88 | | road | 85.79 | 89.87 | | bed | 92.31 | 96.98 | | windowpane | 65.58 | 82.52 | | grass | 65.29 | 73.43 | | cabinet | 67.29 | 78.96 | | sidewalk | 71.98 | 84.41 | | person | 87.59 | 92.94 | | earth | 40.65 | 60.7 | | door | 59.05 | 76.11 | | table | 71.84 | 82.42 | | mountain | 61.67 | 81.99 | | plant | 55.53 | 67.59 | | curtain | 79.27 | 86.12 | | chair | 66.94 | 77.99 | | car | 86.69 | 95.15 | | water | 60.24 | 79.54 | | painting | 74.16 | 92.66 | | sofa | 75.15 | 79.72 | | shelf | 51.94 | 67.83 | | house | 52.15 | 74.34 | | sea | 72.77 | 85.42 | | mirror | 75.89 | 90.34 | | rug | 69.9 | 84.95 | | field | 29.46 | 65.76 | | armchair | 55.55 | 80.81 | | seat | 70.31 | 92.81 | | fence | 52.39 | 74.56 | | desk | 59.71 | 80.78 | | rock | 57.36 | 69.33 | | wardrobe | 59.92 | 76.97 | | lamp | 77.68 | 88.75 | | bathtub | 91.75 | 93.96 | | railing | 45.06 | 63.35 | | cushion | 69.92 | 85.58 | | base | 47.14 | 69.12 | | box | 37.58 | 56.68 | | column | 54.26 | 67.67 | | signboard | 42.38 | 65.32 | | chest of drawers | 44.57 | 73.07 | | counter | 52.38 | 64.07 | | sand | 60.01 | 88.12 | | sink | 80.62 | 86.31 | | skyscraper | 59.22 | 84.8 | | fireplace | 77.52 | 94.56 | | refrigerator | 83.6 | 89.84 | | grandstand | 55.1 | 85.81 | | path | 27.59 | 38.06 | | stairs | 31.6 | 36.59 | | runway | 72.51 | 92.77 | | case | 67.0 | 73.97 | | pool table | 95.77 | 98.09 | | pillow | 65.7 | 79.56 | | screen door | 64.4 | 73.99 | | stairway | 41.84 | 77.45 | | river | 18.75 | 31.01 | | bridge | 74.15 | 92.52 | | bookcase | 36.8 | 60.89 | | blind | 46.33 | 53.84 | | coffee table | 71.04 | 86.41 | | toilet | 91.73 | 94.85 | | flower | 44.44 | 63.25 | | book | 56.59 | 82.3 | | hill | 8.15 | 13.06 | | bench | 62.75 | 71.19 | | countertop | 61.29 | 79.44 | | stove | 83.85 | 88.33 | | palm | 57.78 | 83.01 | | kitchen island | 58.98 | 84.96 | | computer | 82.16 | 89.39 | | swivel chair | 50.09 | 73.97 | | boat | 68.59 | 90.9 | | bar | 70.35 | 74.84 | | arcade machine | 77.26 | 87.45 | | hovel | 32.56 | 48.54 | | bus | 92.78 | 95.53 | | towel | 78.21 | 89.14 | | light | 64.95 | 80.64 | | truck | 43.91 | 64.45 | | tower | 26.1 | 53.1 | | chandelier | 74.29 | 85.79 | | awning | 37.96 | 54.33 | | streetlight | 44.72 | 65.33 | | booth | 45.85 | 73.79 | | television receiver | 78.09 | 90.44 | | airplane | 73.21 | 77.4 | | dirt track | 10.26 | 25.49 | | apparel | 52.29 | 90.67 | | pole | 34.09 | 52.23 | | land | 1.39 | 2.25 | | bannister | 25.86 | 37.62 | | escalator | 60.44 | 75.54 | | ottoman | 46.47 | 74.61 | | bottle | 34.82 | 43.79 | | buffet | 48.15 | 63.49 | | poster | 29.9 | 54.02 | | stage | 17.65 | 44.79 | | van | 28.47 | 38.17 | | ship | 90.62 | 96.62 | | fountain | 33.5 | 34.17 | | conveyer belt | 64.0 | 94.35 | | canopy | 60.85 | 76.51 | | washer | 88.94 | 93.71 | | plaything | 37.27 | 78.56 | | swimming pool | 66.58 | 73.92 | | stool | 58.08 | 76.32 | | barrel | 75.12 | 97.84 | | basket | 41.76 | 65.78 | | waterfall | 48.04 | 58.79 | | tent | 90.69 | 97.65 | | bag | 31.89 | 42.62 | | minibike | 77.37 | 92.08 | | cradle | 85.71 | 98.12 | | oven | 52.8 | 70.59 | | ball | 67.62 | 77.69 | | food | 73.7 | 90.8 | | step | 12.35 | 14.97 | | tank | 45.14 | 59.85 | | trade name | 34.93 | 45.52 | | microwave | 88.86 | 96.98 | | pot | 59.7 | 73.79 | | animal | 79.61 | 83.6 | | bicycle | 65.83 | 82.05 | | lake | 0.0 | 0.0 | | dishwasher | 74.13 | 85.67 | | screen | 43.96 | 56.21 | | blanket | 24.4 | 35.48 | | sculpture | 72.32 | 91.09 | | hood | 65.17 | 77.65 | | sconce | 61.5 | 80.86 | | vase | 54.74 | 78.7 | | traffic light | 47.37 | 73.66 | | tray | 30.49 | 43.38 | | ashcan | 48.04 | 73.55 | | fan | 70.81 | 83.04 | | pier | 38.17 | 41.51 | | crt screen | 9.02 | 34.93 | | plate | 68.78 | 84.36 | | monitor | 10.04 | 15.16 | | bulletin board | 43.82 | 63.97 | | shower | 7.31 | 32.13 | | radiator | 69.95 | 88.01 | | glass | 26.85 | 30.78 | | clock | 49.58 | 65.93 | | flag | 74.57 | 85.98 | +---------------------+-------+-------+ 2022-05-01 04:49:59,884 - mmseg - INFO - Summary: 2022-05-01 04:49:59,884 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.83 | 57.72 | 72.53 | +-------+-------+-------+ 2022-05-01 04:49:59,888 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_16000.pth was removed 2022-05-01 04:50:18,140 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. 2022-05-01 04:50:18,141 - mmseg - INFO - Best mIoU is 0.5772 at 24000 iter. 2022-05-01 04:50:18,152 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 04:50:18,153 - mmseg - INFO - Iter(val) [125] aAcc: 0.8583, mIoU: 0.5772, mAcc: 0.7253, IoU.wall: 0.8139, IoU.building: 0.8493, IoU.sky: 0.9507, IoU.floor: 0.8493, IoU.tree: 0.7826, IoU.ceiling: 0.8800, IoU.road: 0.8579, IoU.bed : 0.9231, IoU.windowpane: 0.6558, IoU.grass: 0.6529, IoU.cabinet: 0.6729, IoU.sidewalk: 0.7198, IoU.person: 0.8759, IoU.earth: 0.4065, IoU.door: 0.5905, IoU.table: 0.7184, IoU.mountain: 0.6167, IoU.plant: 0.5553, IoU.curtain: 0.7927, IoU.chair: 0.6694, IoU.car: 0.8669, IoU.water: 0.6024, IoU.painting: 0.7416, IoU.sofa: 0.7515, IoU.shelf: 0.5194, IoU.house: 0.5215, IoU.sea: 0.7277, IoU.mirror: 0.7589, IoU.rug: 0.6990, IoU.field: 0.2946, IoU.armchair: 0.5555, IoU.seat: 0.7031, IoU.fence: 0.5239, IoU.desk: 0.5971, IoU.rock: 0.5736, IoU.wardrobe: 0.5992, IoU.lamp: 0.7768, IoU.bathtub: 0.9175, IoU.railing: 0.4506, IoU.cushion: 0.6992, IoU.base: 0.4714, IoU.box: 0.3758, IoU.column: 0.5426, IoU.signboard: 0.4238, IoU.chest of drawers: 0.4457, IoU.counter: 0.5238, IoU.sand: 0.6001, IoU.sink: 0.8062, IoU.skyscraper: 0.5922, IoU.fireplace: 0.7752, IoU.refrigerator: 0.8360, IoU.grandstand: 0.5510, IoU.path: 0.2759, IoU.stairs: 0.3160, IoU.runway: 0.7251, IoU.case: 0.6700, IoU.pool table: 0.9577, IoU.pillow: 0.6570, IoU.screen door: 0.6440, IoU.stairway: 0.4184, IoU.river: 0.1875, IoU.bridge: 0.7415, IoU.bookcase: 0.3680, IoU.blind: 0.4633, IoU.coffee table: 0.7104, IoU.toilet: 0.9173, IoU.flower: 0.4444, IoU.book: 0.5659, IoU.hill: 0.0815, IoU.bench: 0.6275, IoU.countertop: 0.6129, IoU.stove: 0.8385, IoU.palm: 0.5778, IoU.kitchen island: 0.5898, IoU.computer: 0.8216, IoU.swivel chair: 0.5009, IoU.boat: 0.6859, IoU.bar: 0.7035, IoU.arcade machine: 0.7726, IoU.hovel: 0.3256, IoU.bus: 0.9278, IoU.towel: 0.7821, IoU.light: 0.6495, IoU.truck: 0.4391, IoU.tower: 0.2610, IoU.chandelier: 0.7429, IoU.awning: 0.3796, IoU.streetlight: 0.4472, IoU.booth: 0.4585, IoU.television receiver: 0.7809, IoU.airplane: 0.7321, IoU.dirt track: 0.1026, IoU.apparel: 0.5229, IoU.pole: 0.3409, IoU.land: 0.0139, IoU.bannister: 0.2586, IoU.escalator: 0.6044, IoU.ottoman: 0.4647, IoU.bottle: 0.3482, IoU.buffet: 0.4815, IoU.poster: 0.2990, IoU.stage: 0.1765, IoU.van: 0.2847, IoU.ship: 0.9062, IoU.fountain: 0.3350, IoU.conveyer belt: 0.6400, IoU.canopy: 0.6085, IoU.washer: 0.8894, IoU.plaything: 0.3727, IoU.swimming pool: 0.6658, IoU.stool: 0.5808, IoU.barrel: 0.7512, IoU.basket: 0.4176, IoU.waterfall: 0.4804, IoU.tent: 0.9069, IoU.bag: 0.3189, IoU.minibike: 0.7737, IoU.cradle: 0.8571, IoU.oven: 0.5280, IoU.ball: 0.6762, IoU.food: 0.7370, IoU.step: 0.1235, IoU.tank: 0.4514, IoU.trade name: 0.3493, IoU.microwave: 0.8886, IoU.pot: 0.5970, IoU.animal: 0.7961, IoU.bicycle: 0.6583, IoU.lake: 0.0000, IoU.dishwasher: 0.7413, IoU.screen: 0.4396, IoU.blanket: 0.2440, IoU.sculpture: 0.7232, IoU.hood: 0.6517, IoU.sconce: 0.6150, IoU.vase: 0.5474, IoU.traffic light: 0.4737, IoU.tray: 0.3049, IoU.ashcan: 0.4804, IoU.fan: 0.7081, IoU.pier: 0.3817, IoU.crt screen: 0.0902, IoU.plate: 0.6878, IoU.monitor: 0.1004, IoU.bulletin board: 0.4382, IoU.shower: 0.0731, IoU.radiator: 0.6995, IoU.glass: 0.2685, IoU.clock: 0.4958, IoU.flag: 0.7457, Acc.wall: 0.8747, Acc.building: 0.9030, Acc.sky: 0.9714, Acc.floor: 0.9009, Acc.tree: 0.9075, Acc.ceiling: 0.9488, Acc.road: 0.8987, Acc.bed : 0.9698, Acc.windowpane: 0.8252, Acc.grass: 0.7343, Acc.cabinet: 0.7896, Acc.sidewalk: 0.8441, Acc.person: 0.9294, Acc.earth: 0.6070, Acc.door: 0.7611, Acc.table: 0.8242, Acc.mountain: 0.8199, Acc.plant: 0.6759, Acc.curtain: 0.8612, Acc.chair: 0.7799, Acc.car: 0.9515, Acc.water: 0.7954, Acc.painting: 0.9266, Acc.sofa: 0.7972, Acc.shelf: 0.6783, Acc.house: 0.7434, Acc.sea: 0.8542, Acc.mirror: 0.9034, Acc.rug: 0.8495, Acc.field: 0.6576, Acc.armchair: 0.8081, Acc.seat: 0.9281, Acc.fence: 0.7456, Acc.desk: 0.8078, Acc.rock: 0.6933, Acc.wardrobe: 0.7697, Acc.lamp: 0.8875, Acc.bathtub: 0.9396, Acc.railing: 0.6335, Acc.cushion: 0.8558, Acc.base: 0.6912, Acc.box: 0.5668, Acc.column: 0.6767, Acc.signboard: 0.6532, Acc.chest of drawers: 0.7307, Acc.counter: 0.6407, Acc.sand: 0.8812, Acc.sink: 0.8631, Acc.skyscraper: 0.8480, Acc.fireplace: 0.9456, Acc.refrigerator: 0.8984, Acc.grandstand: 0.8581, Acc.path: 0.3806, Acc.stairs: 0.3659, Acc.runway: 0.9277, Acc.case: 0.7397, Acc.pool table: 0.9809, Acc.pillow: 0.7956, Acc.screen door: 0.7399, Acc.stairway: 0.7745, Acc.river: 0.3101, Acc.bridge: 0.9252, Acc.bookcase: 0.6089, Acc.blind: 0.5384, Acc.coffee table: 0.8641, Acc.toilet: 0.9485, Acc.flower: 0.6325, Acc.book: 0.8230, Acc.hill: 0.1306, Acc.bench: 0.7119, Acc.countertop: 0.7944, Acc.stove: 0.8833, Acc.palm: 0.8301, Acc.kitchen island: 0.8496, Acc.computer: 0.8939, Acc.swivel chair: 0.7397, Acc.boat: 0.9090, Acc.bar: 0.7484, Acc.arcade machine: 0.8745, Acc.hovel: 0.4854, Acc.bus: 0.9553, Acc.towel: 0.8914, Acc.light: 0.8064, Acc.truck: 0.6445, Acc.tower: 0.5310, Acc.chandelier: 0.8579, Acc.awning: 0.5433, Acc.streetlight: 0.6533, Acc.booth: 0.7379, Acc.television receiver: 0.9044, Acc.airplane: 0.7740, Acc.dirt track: 0.2549, Acc.apparel: 0.9067, Acc.pole: 0.5223, Acc.land: 0.0225, Acc.bannister: 0.3762, Acc.escalator: 0.7554, Acc.ottoman: 0.7461, Acc.bottle: 0.4379, Acc.buffet: 0.6349, Acc.poster: 0.5402, Acc.stage: 0.4479, Acc.van: 0.3817, Acc.ship: 0.9662, Acc.fountain: 0.3417, Acc.conveyer belt: 0.9435, Acc.canopy: 0.7651, Acc.washer: 0.9371, Acc.plaything: 0.7856, Acc.swimming pool: 0.7392, Acc.stool: 0.7632, Acc.barrel: 0.9784, Acc.basket: 0.6578, Acc.waterfall: 0.5879, Acc.tent: 0.9765, Acc.bag: 0.4262, Acc.minibike: 0.9208, Acc.cradle: 0.9812, Acc.oven: 0.7059, Acc.ball: 0.7769, Acc.food: 0.9080, Acc.step: 0.1497, Acc.tank: 0.5985, Acc.trade name: 0.4552, Acc.microwave: 0.9698, Acc.pot: 0.7379, Acc.animal: 0.8360, Acc.bicycle: 0.8205, Acc.lake: 0.0000, Acc.dishwasher: 0.8567, Acc.screen: 0.5621, Acc.blanket: 0.3548, Acc.sculpture: 0.9109, Acc.hood: 0.7765, Acc.sconce: 0.8086, Acc.vase: 0.7870, Acc.traffic light: 0.7366, Acc.tray: 0.4338, Acc.ashcan: 0.7355, Acc.fan: 0.8304, Acc.pier: 0.4151, Acc.crt screen: 0.3493, Acc.plate: 0.8436, Acc.monitor: 0.1516, Acc.bulletin board: 0.6397, Acc.shower: 0.3213, Acc.radiator: 0.8801, Acc.glass: 0.3078, Acc.clock: 0.6593, Acc.flag: 0.8598 2022-05-01 04:51:56,296 - mmseg - INFO - Iter [24050/80000] lr: 1.004e-06, eta: 1 day, 6:30:14, time: 4.820, data_time: 2.924, memory: 64716, decode.loss_cls: 0.4106, decode.loss_mask: 0.5629, decode.loss_dice: 0.8207, decode.d0.loss_cls: 1.4216, decode.d0.loss_mask: 0.6180, decode.d0.loss_dice: 0.9350, decode.d1.loss_cls: 0.4908, decode.d1.loss_mask: 0.5911, decode.d1.loss_dice: 0.8846, decode.d2.loss_cls: 0.4433, decode.d2.loss_mask: 0.5773, decode.d2.loss_dice: 0.8519, decode.d3.loss_cls: 0.4249, decode.d3.loss_mask: 0.5699, decode.d3.loss_dice: 0.8439, decode.d4.loss_cls: 0.4154, decode.d4.loss_mask: 0.5684, decode.d4.loss_dice: 0.8360, decode.d5.loss_cls: 0.4187, decode.d5.loss_mask: 0.5677, decode.d5.loss_dice: 0.8370, decode.d6.loss_cls: 0.4142, decode.d6.loss_mask: 0.5635, decode.d6.loss_dice: 0.8250, decode.d7.loss_cls: 0.4113, decode.d7.loss_mask: 0.5641, decode.d7.loss_dice: 0.8282, decode.d8.loss_cls: 0.4051, decode.d8.loss_mask: 0.5649, decode.d8.loss_dice: 0.8248, loss: 19.4909 2022-05-01 04:53:30,008 - mmseg - INFO - Iter [24100/80000] lr: 1.003e-06, eta: 1 day, 6:28:25, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3698, decode.loss_mask: 0.5801, decode.loss_dice: 0.8441, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.6167, decode.d0.loss_dice: 0.9536, decode.d1.loss_cls: 0.4572, decode.d1.loss_mask: 0.6037, decode.d1.loss_dice: 0.9158, decode.d2.loss_cls: 0.4101, decode.d2.loss_mask: 0.5900, decode.d2.loss_dice: 0.8762, decode.d3.loss_cls: 0.3963, decode.d3.loss_mask: 0.5839, decode.d3.loss_dice: 0.8605, decode.d4.loss_cls: 0.3840, decode.d4.loss_mask: 0.5835, decode.d4.loss_dice: 0.8593, decode.d5.loss_cls: 0.3782, decode.d5.loss_mask: 0.5797, decode.d5.loss_dice: 0.8569, decode.d6.loss_cls: 0.3719, decode.d6.loss_mask: 0.5797, decode.d6.loss_dice: 0.8463, decode.d7.loss_cls: 0.3721, decode.d7.loss_mask: 0.5810, decode.d7.loss_dice: 0.8486, decode.d8.loss_cls: 0.3746, decode.d8.loss_mask: 0.5781, decode.d8.loss_dice: 0.8445, loss: 19.4806 2022-05-01 04:55:05,547 - mmseg - INFO - Iter [24150/80000] lr: 1.002e-06, eta: 1 day, 6:26:41, time: 1.912, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3901, decode.loss_mask: 0.5706, decode.loss_dice: 0.8260, decode.d0.loss_cls: 1.4357, decode.d0.loss_mask: 0.6204, decode.d0.loss_dice: 0.9420, decode.d1.loss_cls: 0.4785, decode.d1.loss_mask: 0.6012, decode.d1.loss_dice: 0.8974, decode.d2.loss_cls: 0.4349, decode.d2.loss_mask: 0.5805, decode.d2.loss_dice: 0.8555, decode.d3.loss_cls: 0.4067, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8437, decode.d4.loss_cls: 0.3983, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8432, decode.d5.loss_cls: 0.3972, decode.d5.loss_mask: 0.5712, decode.d5.loss_dice: 0.8312, decode.d6.loss_cls: 0.3907, decode.d6.loss_mask: 0.5705, decode.d6.loss_dice: 0.8271, decode.d7.loss_cls: 0.3847, decode.d7.loss_mask: 0.5684, decode.d7.loss_dice: 0.8296, decode.d8.loss_cls: 0.3856, decode.d8.loss_mask: 0.5701, decode.d8.loss_dice: 0.8262, loss: 19.4279 2022-05-01 04:56:39,798 - mmseg - INFO - Iter [24200/80000] lr: 1.001e-06, eta: 1 day, 6:24:54, time: 1.885, data_time: 0.014, memory: 64716, decode.loss_cls: 0.4198, decode.loss_mask: 0.5674, decode.loss_dice: 0.8448, decode.d0.loss_cls: 1.4670, decode.d0.loss_mask: 0.6180, decode.d0.loss_dice: 0.9734, decode.d1.loss_cls: 0.5084, decode.d1.loss_mask: 0.5970, decode.d1.loss_dice: 0.9112, decode.d2.loss_cls: 0.4580, decode.d2.loss_mask: 0.5804, decode.d2.loss_dice: 0.8811, decode.d3.loss_cls: 0.4466, decode.d3.loss_mask: 0.5726, decode.d3.loss_dice: 0.8613, decode.d4.loss_cls: 0.4339, decode.d4.loss_mask: 0.5741, decode.d4.loss_dice: 0.8542, decode.d5.loss_cls: 0.4262, decode.d5.loss_mask: 0.5706, decode.d5.loss_dice: 0.8510, decode.d6.loss_cls: 0.4195, decode.d6.loss_mask: 0.5665, decode.d6.loss_dice: 0.8524, decode.d7.loss_cls: 0.4220, decode.d7.loss_mask: 0.5671, decode.d7.loss_dice: 0.8444, decode.d8.loss_cls: 0.4187, decode.d8.loss_mask: 0.5668, decode.d8.loss_dice: 0.8420, loss: 19.9164 2022-05-01 04:58:15,118 - mmseg - INFO - Iter [24250/80000] lr: 1.001e-06, eta: 1 day, 6:23:09, time: 1.905, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3948, decode.loss_mask: 0.5693, decode.loss_dice: 0.8495, decode.d0.loss_cls: 1.4406, decode.d0.loss_mask: 0.6175, decode.d0.loss_dice: 0.9631, decode.d1.loss_cls: 0.4881, decode.d1.loss_mask: 0.5936, decode.d1.loss_dice: 0.9096, decode.d2.loss_cls: 0.4330, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8837, decode.d3.loss_cls: 0.4168, decode.d3.loss_mask: 0.5764, decode.d3.loss_dice: 0.8700, decode.d4.loss_cls: 0.4139, decode.d4.loss_mask: 0.5736, decode.d4.loss_dice: 0.8590, decode.d5.loss_cls: 0.4075, decode.d5.loss_mask: 0.5740, decode.d5.loss_dice: 0.8581, decode.d6.loss_cls: 0.4025, decode.d6.loss_mask: 0.5706, decode.d6.loss_dice: 0.8508, decode.d7.loss_cls: 0.3986, decode.d7.loss_mask: 0.5690, decode.d7.loss_dice: 0.8514, decode.d8.loss_cls: 0.3899, decode.d8.loss_mask: 0.5693, decode.d8.loss_dice: 0.8500, loss: 19.7240 2022-05-01 04:59:49,065 - mmseg - INFO - Iter [24300/80000] lr: 9.997e-07, eta: 1 day, 6:21:22, time: 1.878, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4059, decode.loss_mask: 0.5700, decode.loss_dice: 0.8392, decode.d0.loss_cls: 1.4509, decode.d0.loss_mask: 0.6232, decode.d0.loss_dice: 0.9600, decode.d1.loss_cls: 0.4934, decode.d1.loss_mask: 0.5979, decode.d1.loss_dice: 0.9003, decode.d2.loss_cls: 0.4468, decode.d2.loss_mask: 0.5812, decode.d2.loss_dice: 0.8704, decode.d3.loss_cls: 0.4263, decode.d3.loss_mask: 0.5787, decode.d3.loss_dice: 0.8581, decode.d4.loss_cls: 0.4197, decode.d4.loss_mask: 0.5751, decode.d4.loss_dice: 0.8495, decode.d5.loss_cls: 0.4156, decode.d5.loss_mask: 0.5759, decode.d5.loss_dice: 0.8473, decode.d6.loss_cls: 0.4095, decode.d6.loss_mask: 0.5679, decode.d6.loss_dice: 0.8406, decode.d7.loss_cls: 0.3984, decode.d7.loss_mask: 0.5706, decode.d7.loss_dice: 0.8472, decode.d8.loss_cls: 0.4052, decode.d8.loss_mask: 0.5687, decode.d8.loss_dice: 0.8408, loss: 19.7341 2022-05-01 05:01:22,923 - mmseg - INFO - Iter [24350/80000] lr: 9.988e-07, eta: 1 day, 6:19:34, time: 1.878, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3913, decode.loss_mask: 0.5877, decode.loss_dice: 0.8339, decode.d0.loss_cls: 1.4587, decode.d0.loss_mask: 0.6385, decode.d0.loss_dice: 0.9519, decode.d1.loss_cls: 0.4966, decode.d1.loss_mask: 0.6108, decode.d1.loss_dice: 0.9014, decode.d2.loss_cls: 0.4385, decode.d2.loss_mask: 0.6000, decode.d2.loss_dice: 0.8732, decode.d3.loss_cls: 0.4221, decode.d3.loss_mask: 0.5929, decode.d3.loss_dice: 0.8529, decode.d4.loss_cls: 0.4118, decode.d4.loss_mask: 0.5910, decode.d4.loss_dice: 0.8477, decode.d5.loss_cls: 0.4009, decode.d5.loss_mask: 0.5917, decode.d5.loss_dice: 0.8446, decode.d6.loss_cls: 0.3996, decode.d6.loss_mask: 0.5878, decode.d6.loss_dice: 0.8342, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5862, decode.d7.loss_dice: 0.8390, decode.d8.loss_cls: 0.3962, decode.d8.loss_mask: 0.5869, decode.d8.loss_dice: 0.8352, loss: 19.8031 2022-05-01 05:02:57,564 - mmseg - INFO - Iter [24400/80000] lr: 9.979e-07, eta: 1 day, 6:17:48, time: 1.894, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3934, decode.loss_mask: 0.5740, decode.loss_dice: 0.8356, decode.d0.loss_cls: 1.3927, decode.d0.loss_mask: 0.6239, decode.d0.loss_dice: 0.9608, decode.d1.loss_cls: 0.4663, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.9052, decode.d2.loss_cls: 0.4275, decode.d2.loss_mask: 0.5913, decode.d2.loss_dice: 0.8736, decode.d3.loss_cls: 0.4165, decode.d3.loss_mask: 0.5820, decode.d3.loss_dice: 0.8449, decode.d4.loss_cls: 0.4042, decode.d4.loss_mask: 0.5797, decode.d4.loss_dice: 0.8485, decode.d5.loss_cls: 0.4013, decode.d5.loss_mask: 0.5769, decode.d5.loss_dice: 0.8473, decode.d6.loss_cls: 0.4000, decode.d6.loss_mask: 0.5736, decode.d6.loss_dice: 0.8401, decode.d7.loss_cls: 0.3981, decode.d7.loss_mask: 0.5733, decode.d7.loss_dice: 0.8412, decode.d8.loss_cls: 0.3948, decode.d8.loss_mask: 0.5770, decode.d8.loss_dice: 0.8384, loss: 19.5886 2022-05-01 05:04:31,244 - mmseg - INFO - Iter [24450/80000] lr: 9.970e-07, eta: 1 day, 6:16:00, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3865, decode.loss_mask: 0.5608, decode.loss_dice: 0.8174, decode.d0.loss_cls: 1.4363, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9431, decode.d1.loss_cls: 0.4721, decode.d1.loss_mask: 0.5880, decode.d1.loss_dice: 0.8850, decode.d2.loss_cls: 0.4307, decode.d2.loss_mask: 0.5695, decode.d2.loss_dice: 0.8527, decode.d3.loss_cls: 0.4133, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8334, decode.d4.loss_cls: 0.4024, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.8301, decode.d5.loss_cls: 0.3954, decode.d5.loss_mask: 0.5629, decode.d5.loss_dice: 0.8253, decode.d6.loss_cls: 0.3890, decode.d6.loss_mask: 0.5619, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3873, decode.d7.loss_mask: 0.5595, decode.d7.loss_dice: 0.8212, decode.d8.loss_cls: 0.3895, decode.d8.loss_mask: 0.5596, decode.d8.loss_dice: 0.8185, loss: 19.2463 2022-05-01 05:06:05,368 - mmseg - INFO - Iter [24500/80000] lr: 9.961e-07, eta: 1 day, 6:14:13, time: 1.883, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3861, decode.loss_mask: 0.5829, decode.loss_dice: 0.8407, decode.d0.loss_cls: 1.4282, decode.d0.loss_mask: 0.6287, decode.d0.loss_dice: 0.9475, decode.d1.loss_cls: 0.4771, decode.d1.loss_mask: 0.6103, decode.d1.loss_dice: 0.9048, decode.d2.loss_cls: 0.4313, decode.d2.loss_mask: 0.5917, decode.d2.loss_dice: 0.8660, decode.d3.loss_cls: 0.4128, decode.d3.loss_mask: 0.5900, decode.d3.loss_dice: 0.8449, decode.d4.loss_cls: 0.4054, decode.d4.loss_mask: 0.5871, decode.d4.loss_dice: 0.8449, decode.d5.loss_cls: 0.3985, decode.d5.loss_mask: 0.5864, decode.d5.loss_dice: 0.8446, decode.d6.loss_cls: 0.3902, decode.d6.loss_mask: 0.5856, decode.d6.loss_dice: 0.8371, decode.d7.loss_cls: 0.3902, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8353, decode.d8.loss_cls: 0.3871, decode.d8.loss_mask: 0.5837, decode.d8.loss_dice: 0.8377, loss: 19.6422 2022-05-01 05:07:39,266 - mmseg - INFO - Iter [24550/80000] lr: 9.952e-07, eta: 1 day, 6:12:25, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4021, decode.loss_mask: 0.5553, decode.loss_dice: 0.8041, decode.d0.loss_cls: 1.4521, decode.d0.loss_mask: 0.5982, decode.d0.loss_dice: 0.9379, decode.d1.loss_cls: 0.5020, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8774, decode.d2.loss_cls: 0.4541, decode.d2.loss_mask: 0.5666, decode.d2.loss_dice: 0.8312, decode.d3.loss_cls: 0.4318, decode.d3.loss_mask: 0.5551, decode.d3.loss_dice: 0.8210, decode.d4.loss_cls: 0.4258, decode.d4.loss_mask: 0.5548, decode.d4.loss_dice: 0.8202, decode.d5.loss_cls: 0.4188, decode.d5.loss_mask: 0.5550, decode.d5.loss_dice: 0.8161, decode.d6.loss_cls: 0.4068, decode.d6.loss_mask: 0.5525, decode.d6.loss_dice: 0.8110, decode.d7.loss_cls: 0.4066, decode.d7.loss_mask: 0.5512, decode.d7.loss_dice: 0.8117, decode.d8.loss_cls: 0.4062, decode.d8.loss_mask: 0.5523, decode.d8.loss_dice: 0.8106, loss: 19.2722 2022-05-01 05:09:12,933 - mmseg - INFO - Iter [24600/80000] lr: 9.943e-07, eta: 1 day, 6:10:38, time: 1.874, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3864, decode.loss_mask: 0.5842, decode.loss_dice: 0.8478, decode.d0.loss_cls: 1.4176, decode.d0.loss_mask: 0.6331, decode.d0.loss_dice: 0.9733, decode.d1.loss_cls: 0.4812, decode.d1.loss_mask: 0.6119, decode.d1.loss_dice: 0.9149, decode.d2.loss_cls: 0.4279, decode.d2.loss_mask: 0.5957, decode.d2.loss_dice: 0.8726, decode.d3.loss_cls: 0.4031, decode.d3.loss_mask: 0.5895, decode.d3.loss_dice: 0.8705, decode.d4.loss_cls: 0.3990, decode.d4.loss_mask: 0.5905, decode.d4.loss_dice: 0.8597, decode.d5.loss_cls: 0.3972, decode.d5.loss_mask: 0.5873, decode.d5.loss_dice: 0.8564, decode.d6.loss_cls: 0.3905, decode.d6.loss_mask: 0.5840, decode.d6.loss_dice: 0.8489, decode.d7.loss_cls: 0.3893, decode.d7.loss_mask: 0.5826, decode.d7.loss_dice: 0.8562, decode.d8.loss_cls: 0.3873, decode.d8.loss_mask: 0.5832, decode.d8.loss_dice: 0.8484, loss: 19.7702 2022-05-01 05:10:47,128 - mmseg - INFO - Iter [24650/80000] lr: 9.934e-07, eta: 1 day, 6:08:51, time: 1.884, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3815, decode.loss_mask: 0.5811, decode.loss_dice: 0.8407, decode.d0.loss_cls: 1.4278, decode.d0.loss_mask: 0.6261, decode.d0.loss_dice: 0.9492, decode.d1.loss_cls: 0.4655, decode.d1.loss_mask: 0.6091, decode.d1.loss_dice: 0.9111, decode.d2.loss_cls: 0.4286, decode.d2.loss_mask: 0.5897, decode.d2.loss_dice: 0.8683, decode.d3.loss_cls: 0.4025, decode.d3.loss_mask: 0.5857, decode.d3.loss_dice: 0.8545, decode.d4.loss_cls: 0.3955, decode.d4.loss_mask: 0.5832, decode.d4.loss_dice: 0.8458, decode.d5.loss_cls: 0.3879, decode.d5.loss_mask: 0.5852, decode.d5.loss_dice: 0.8486, decode.d6.loss_cls: 0.3874, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8411, decode.d7.loss_cls: 0.3803, decode.d7.loss_mask: 0.5828, decode.d7.loss_dice: 0.8399, decode.d8.loss_cls: 0.3808, decode.d8.loss_mask: 0.5806, decode.d8.loss_dice: 0.8414, loss: 19.5829 2022-05-01 05:12:20,733 - mmseg - INFO - Iter [24700/80000] lr: 9.925e-07, eta: 1 day, 6:07:03, time: 1.871, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3756, decode.loss_mask: 0.5883, decode.loss_dice: 0.8312, decode.d0.loss_cls: 1.3924, decode.d0.loss_mask: 0.6360, decode.d0.loss_dice: 0.9425, decode.d1.loss_cls: 0.4604, decode.d1.loss_mask: 0.6146, decode.d1.loss_dice: 0.9004, decode.d2.loss_cls: 0.4157, decode.d2.loss_mask: 0.6003, decode.d2.loss_dice: 0.8627, decode.d3.loss_cls: 0.3998, decode.d3.loss_mask: 0.5951, decode.d3.loss_dice: 0.8440, decode.d4.loss_cls: 0.3866, decode.d4.loss_mask: 0.5936, decode.d4.loss_dice: 0.8417, decode.d5.loss_cls: 0.3833, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.8429, decode.d6.loss_cls: 0.3749, decode.d6.loss_mask: 0.5886, decode.d6.loss_dice: 0.8318, decode.d7.loss_cls: 0.3771, decode.d7.loss_mask: 0.5882, decode.d7.loss_dice: 0.8289, decode.d8.loss_cls: 0.3728, decode.d8.loss_mask: 0.5889, decode.d8.loss_dice: 0.8312, loss: 19.4799 2022-05-01 05:13:55,004 - mmseg - INFO - Iter [24750/80000] lr: 9.916e-07, eta: 1 day, 6:05:16, time: 1.885, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3915, decode.loss_mask: 0.5904, decode.loss_dice: 0.8283, decode.d0.loss_cls: 1.4433, decode.d0.loss_mask: 0.6358, decode.d0.loss_dice: 0.9461, decode.d1.loss_cls: 0.4720, decode.d1.loss_mask: 0.6175, decode.d1.loss_dice: 0.8928, decode.d2.loss_cls: 0.4351, decode.d2.loss_mask: 0.6029, decode.d2.loss_dice: 0.8606, decode.d3.loss_cls: 0.4196, decode.d3.loss_mask: 0.5953, decode.d3.loss_dice: 0.8426, decode.d4.loss_cls: 0.4089, decode.d4.loss_mask: 0.5930, decode.d4.loss_dice: 0.8380, decode.d5.loss_cls: 0.4032, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.8334, decode.d6.loss_cls: 0.3964, decode.d6.loss_mask: 0.5898, decode.d6.loss_dice: 0.8297, decode.d7.loss_cls: 0.3918, decode.d7.loss_mask: 0.5883, decode.d7.loss_dice: 0.8332, decode.d8.loss_cls: 0.3922, decode.d8.loss_mask: 0.5888, decode.d8.loss_dice: 0.8328, loss: 19.6839 2022-05-01 05:15:29,452 - mmseg - INFO - Iter [24800/80000] lr: 9.907e-07, eta: 1 day, 6:03:30, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4019, decode.loss_mask: 0.5750, decode.loss_dice: 0.8440, decode.d0.loss_cls: 1.4528, decode.d0.loss_mask: 0.6231, decode.d0.loss_dice: 0.9533, decode.d1.loss_cls: 0.4851, decode.d1.loss_mask: 0.6045, decode.d1.loss_dice: 0.9134, decode.d2.loss_cls: 0.4373, decode.d2.loss_mask: 0.5882, decode.d2.loss_dice: 0.8773, decode.d3.loss_cls: 0.4270, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8594, decode.d4.loss_cls: 0.4199, decode.d4.loss_mask: 0.5792, decode.d4.loss_dice: 0.8561, decode.d5.loss_cls: 0.4144, decode.d5.loss_mask: 0.5740, decode.d5.loss_dice: 0.8492, decode.d6.loss_cls: 0.4111, decode.d6.loss_mask: 0.5730, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.4014, decode.d7.loss_mask: 0.5740, decode.d7.loss_dice: 0.8474, decode.d8.loss_cls: 0.4008, decode.d8.loss_mask: 0.5758, decode.d8.loss_dice: 0.8465, loss: 19.7855 2022-05-01 05:17:03,253 - mmseg - INFO - Iter [24850/80000] lr: 9.898e-07, eta: 1 day, 6:01:43, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4005, decode.loss_mask: 0.5624, decode.loss_dice: 0.8414, decode.d0.loss_cls: 1.4333, decode.d0.loss_mask: 0.6035, decode.d0.loss_dice: 0.9657, decode.d1.loss_cls: 0.4989, decode.d1.loss_mask: 0.5918, decode.d1.loss_dice: 0.9103, decode.d2.loss_cls: 0.4419, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8659, decode.d3.loss_cls: 0.4238, decode.d3.loss_mask: 0.5682, decode.d3.loss_dice: 0.8502, decode.d4.loss_cls: 0.4166, decode.d4.loss_mask: 0.5675, decode.d4.loss_dice: 0.8492, decode.d5.loss_cls: 0.4128, decode.d5.loss_mask: 0.5669, decode.d5.loss_dice: 0.8449, decode.d6.loss_cls: 0.4052, decode.d6.loss_mask: 0.5621, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.4086, decode.d7.loss_mask: 0.5624, decode.d7.loss_dice: 0.8394, decode.d8.loss_cls: 0.4041, decode.d8.loss_mask: 0.5653, decode.d8.loss_dice: 0.8416, loss: 19.6152 2022-05-01 05:18:39,141 - mmseg - INFO - Iter [24900/80000] lr: 9.889e-07, eta: 1 day, 6:00:00, time: 1.917, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4055, decode.loss_mask: 0.5876, decode.loss_dice: 0.8338, decode.d0.loss_cls: 1.4504, decode.d0.loss_mask: 0.6364, decode.d0.loss_dice: 0.9514, decode.d1.loss_cls: 0.4929, decode.d1.loss_mask: 0.6136, decode.d1.loss_dice: 0.8950, decode.d2.loss_cls: 0.4442, decode.d2.loss_mask: 0.6007, decode.d2.loss_dice: 0.8621, decode.d3.loss_cls: 0.4255, decode.d3.loss_mask: 0.5942, decode.d3.loss_dice: 0.8419, decode.d4.loss_cls: 0.4223, decode.d4.loss_mask: 0.5932, decode.d4.loss_dice: 0.8390, decode.d5.loss_cls: 0.4129, decode.d5.loss_mask: 0.5911, decode.d5.loss_dice: 0.8356, decode.d6.loss_cls: 0.4071, decode.d6.loss_mask: 0.5888, decode.d6.loss_dice: 0.8301, decode.d7.loss_cls: 0.4055, decode.d7.loss_mask: 0.5915, decode.d7.loss_dice: 0.8343, decode.d8.loss_cls: 0.4100, decode.d8.loss_mask: 0.5857, decode.d8.loss_dice: 0.8268, loss: 19.8092 2022-05-01 05:20:14,790 - mmseg - INFO - Iter [24950/80000] lr: 9.880e-07, eta: 1 day, 5:58:17, time: 1.914, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3884, decode.loss_mask: 0.5976, decode.loss_dice: 0.8317, decode.d0.loss_cls: 1.4487, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 0.9534, decode.d1.loss_cls: 0.4733, decode.d1.loss_mask: 0.6358, decode.d1.loss_dice: 0.9007, decode.d2.loss_cls: 0.4246, decode.d2.loss_mask: 0.6167, decode.d2.loss_dice: 0.8668, decode.d3.loss_cls: 0.4066, decode.d3.loss_mask: 0.6092, decode.d3.loss_dice: 0.8465, decode.d4.loss_cls: 0.3957, decode.d4.loss_mask: 0.6052, decode.d4.loss_dice: 0.8441, decode.d5.loss_cls: 0.3890, decode.d5.loss_mask: 0.6009, decode.d5.loss_dice: 0.8471, decode.d6.loss_cls: 0.3840, decode.d6.loss_mask: 0.5989, decode.d6.loss_dice: 0.8370, decode.d7.loss_cls: 0.3833, decode.d7.loss_mask: 0.5995, decode.d7.loss_dice: 0.8427, decode.d8.loss_cls: 0.3828, decode.d8.loss_mask: 0.5972, decode.d8.loss_dice: 0.8384, loss: 19.7997 2022-05-01 05:21:50,565 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-05-01 05:22:22,527 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 05:22:22,540 - mmseg - INFO - Iter [25000/80000] lr: 9.871e-07, eta: 1 day, 5:57:44, time: 2.551, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3900, decode.loss_mask: 0.5928, decode.loss_dice: 0.8460, decode.d0.loss_cls: 1.4161, decode.d0.loss_mask: 0.6353, decode.d0.loss_dice: 0.9620, decode.d1.loss_cls: 0.4738, decode.d1.loss_mask: 0.6172, decode.d1.loss_dice: 0.9077, decode.d2.loss_cls: 0.4318, decode.d2.loss_mask: 0.6017, decode.d2.loss_dice: 0.8770, decode.d3.loss_cls: 0.4110, decode.d3.loss_mask: 0.5963, decode.d3.loss_dice: 0.8609, decode.d4.loss_cls: 0.3999, decode.d4.loss_mask: 0.5985, decode.d4.loss_dice: 0.8558, decode.d5.loss_cls: 0.4047, decode.d5.loss_mask: 0.5969, decode.d5.loss_dice: 0.8536, decode.d6.loss_cls: 0.3959, decode.d6.loss_mask: 0.5902, decode.d6.loss_dice: 0.8467, decode.d7.loss_cls: 0.3964, decode.d7.loss_mask: 0.5888, decode.d7.loss_dice: 0.8501, decode.d8.loss_cls: 0.3936, decode.d8.loss_mask: 0.5913, decode.d8.loss_dice: 0.8507, loss: 19.8325 2022-05-01 05:23:56,861 - mmseg - INFO - Iter [25050/80000] lr: 9.862e-07, eta: 1 day, 5:55:58, time: 1.889, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4090, decode.loss_mask: 0.5719, decode.loss_dice: 0.8480, decode.d0.loss_cls: 1.4212, decode.d0.loss_mask: 0.6253, decode.d0.loss_dice: 0.9678, decode.d1.loss_cls: 0.4972, decode.d1.loss_mask: 0.6005, decode.d1.loss_dice: 0.9084, decode.d2.loss_cls: 0.4559, decode.d2.loss_mask: 0.5849, decode.d2.loss_dice: 0.8773, decode.d3.loss_cls: 0.4304, decode.d3.loss_mask: 0.5778, decode.d3.loss_dice: 0.8554, decode.d4.loss_cls: 0.4175, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8564, decode.d5.loss_cls: 0.4097, decode.d5.loss_mask: 0.5757, decode.d5.loss_dice: 0.8552, decode.d6.loss_cls: 0.4131, decode.d6.loss_mask: 0.5739, decode.d6.loss_dice: 0.8453, decode.d7.loss_cls: 0.4141, decode.d7.loss_mask: 0.5740, decode.d7.loss_dice: 0.8486, decode.d8.loss_cls: 0.4119, decode.d8.loss_mask: 0.5731, decode.d8.loss_dice: 0.8456, loss: 19.8222 2022-05-01 05:25:29,764 - mmseg - INFO - Iter [25100/80000] lr: 9.853e-07, eta: 1 day, 5:54:09, time: 1.858, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4021, decode.loss_mask: 0.5621, decode.loss_dice: 0.8131, decode.d0.loss_cls: 1.4187, decode.d0.loss_mask: 0.6172, decode.d0.loss_dice: 0.9408, decode.d1.loss_cls: 0.4852, decode.d1.loss_mask: 0.5931, decode.d1.loss_dice: 0.8777, decode.d2.loss_cls: 0.4417, decode.d2.loss_mask: 0.5778, decode.d2.loss_dice: 0.8466, decode.d3.loss_cls: 0.4207, decode.d3.loss_mask: 0.5733, decode.d3.loss_dice: 0.8340, decode.d4.loss_cls: 0.4147, decode.d4.loss_mask: 0.5707, decode.d4.loss_dice: 0.8306, decode.d5.loss_cls: 0.4108, decode.d5.loss_mask: 0.5687, decode.d5.loss_dice: 0.8237, decode.d6.loss_cls: 0.4106, decode.d6.loss_mask: 0.5599, decode.d6.loss_dice: 0.8209, decode.d7.loss_cls: 0.4080, decode.d7.loss_mask: 0.5623, decode.d7.loss_dice: 0.8190, decode.d8.loss_cls: 0.4042, decode.d8.loss_mask: 0.5623, decode.d8.loss_dice: 0.8208, loss: 19.3915 2022-05-01 05:27:02,183 - mmseg - INFO - Iter [25150/80000] lr: 9.844e-07, eta: 1 day, 5:52:19, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3984, decode.loss_mask: 0.5605, decode.loss_dice: 0.8135, decode.d0.loss_cls: 1.4422, decode.d0.loss_mask: 0.6054, decode.d0.loss_dice: 0.9271, decode.d1.loss_cls: 0.4908, decode.d1.loss_mask: 0.5839, decode.d1.loss_dice: 0.8825, decode.d2.loss_cls: 0.4375, decode.d2.loss_mask: 0.5712, decode.d2.loss_dice: 0.8509, decode.d3.loss_cls: 0.4193, decode.d3.loss_mask: 0.5608, decode.d3.loss_dice: 0.8323, decode.d4.loss_cls: 0.4159, decode.d4.loss_mask: 0.5574, decode.d4.loss_dice: 0.8301, decode.d5.loss_cls: 0.4028, decode.d5.loss_mask: 0.5599, decode.d5.loss_dice: 0.8224, decode.d6.loss_cls: 0.4018, decode.d6.loss_mask: 0.5579, decode.d6.loss_dice: 0.8117, decode.d7.loss_cls: 0.4043, decode.d7.loss_mask: 0.5589, decode.d7.loss_dice: 0.8137, decode.d8.loss_cls: 0.4027, decode.d8.loss_mask: 0.5597, decode.d8.loss_dice: 0.8165, loss: 19.2918 2022-05-01 05:28:35,996 - mmseg - INFO - Iter [25200/80000] lr: 9.835e-07, eta: 1 day, 5:50:32, time: 1.876, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3949, decode.loss_mask: 0.5707, decode.loss_dice: 0.7991, decode.d0.loss_cls: 1.4226, decode.d0.loss_mask: 0.6192, decode.d0.loss_dice: 0.9131, decode.d1.loss_cls: 0.4745, decode.d1.loss_mask: 0.5989, decode.d1.loss_dice: 0.8575, decode.d2.loss_cls: 0.4410, decode.d2.loss_mask: 0.5785, decode.d2.loss_dice: 0.8318, decode.d3.loss_cls: 0.4145, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8165, decode.d4.loss_cls: 0.4148, decode.d4.loss_mask: 0.5747, decode.d4.loss_dice: 0.8135, decode.d5.loss_cls: 0.4070, decode.d5.loss_mask: 0.5730, decode.d5.loss_dice: 0.8132, decode.d6.loss_cls: 0.3968, decode.d6.loss_mask: 0.5718, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3949, decode.d7.loss_mask: 0.5672, decode.d7.loss_dice: 0.8045, decode.d8.loss_cls: 0.3928, decode.d8.loss_mask: 0.5713, decode.d8.loss_dice: 0.8078, loss: 19.2165 2022-05-01 05:30:09,363 - mmseg - INFO - Iter [25250/80000] lr: 9.826e-07, eta: 1 day, 5:48:44, time: 1.868, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4236, decode.loss_mask: 0.5850, decode.loss_dice: 0.8485, decode.d0.loss_cls: 1.4938, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 0.9812, decode.d1.loss_cls: 0.5134, decode.d1.loss_mask: 0.6131, decode.d1.loss_dice: 0.9140, decode.d2.loss_cls: 0.4606, decode.d2.loss_mask: 0.5935, decode.d2.loss_dice: 0.8760, decode.d3.loss_cls: 0.4448, decode.d3.loss_mask: 0.5906, decode.d3.loss_dice: 0.8616, decode.d4.loss_cls: 0.4347, decode.d4.loss_mask: 0.5850, decode.d4.loss_dice: 0.8543, decode.d5.loss_cls: 0.4334, decode.d5.loss_mask: 0.5866, decode.d5.loss_dice: 0.8538, decode.d6.loss_cls: 0.4237, decode.d6.loss_mask: 0.5797, decode.d6.loss_dice: 0.8430, decode.d7.loss_cls: 0.4188, decode.d7.loss_mask: 0.5832, decode.d7.loss_dice: 0.8451, decode.d8.loss_cls: 0.4219, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8438, loss: 20.1215 2022-05-01 05:31:46,627 - mmseg - INFO - Iter [25300/80000] lr: 9.817e-07, eta: 1 day, 5:47:04, time: 1.944, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3898, decode.loss_mask: 0.5695, decode.loss_dice: 0.8164, decode.d0.loss_cls: 1.4165, decode.d0.loss_mask: 0.6152, decode.d0.loss_dice: 0.9295, decode.d1.loss_cls: 0.4693, decode.d1.loss_mask: 0.5945, decode.d1.loss_dice: 0.8821, decode.d2.loss_cls: 0.4165, decode.d2.loss_mask: 0.5833, decode.d2.loss_dice: 0.8490, decode.d3.loss_cls: 0.4026, decode.d3.loss_mask: 0.5734, decode.d3.loss_dice: 0.8300, decode.d4.loss_cls: 0.3999, decode.d4.loss_mask: 0.5767, decode.d4.loss_dice: 0.8312, decode.d5.loss_cls: 0.4031, decode.d5.loss_mask: 0.5696, decode.d5.loss_dice: 0.8269, decode.d6.loss_cls: 0.3970, decode.d6.loss_mask: 0.5669, decode.d6.loss_dice: 0.8156, decode.d7.loss_cls: 0.3879, decode.d7.loss_mask: 0.5659, decode.d7.loss_dice: 0.8203, decode.d8.loss_cls: 0.3903, decode.d8.loss_mask: 0.5668, decode.d8.loss_dice: 0.8150, loss: 19.2705 2022-05-01 05:33:21,871 - mmseg - INFO - Iter [25350/80000] lr: 9.808e-07, eta: 1 day, 5:45:20, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3752, decode.loss_mask: 0.5684, decode.loss_dice: 0.8223, decode.d0.loss_cls: 1.4108, decode.d0.loss_mask: 0.6121, decode.d0.loss_dice: 0.9409, decode.d1.loss_cls: 0.4562, decode.d1.loss_mask: 0.5933, decode.d1.loss_dice: 0.8819, decode.d2.loss_cls: 0.4101, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8490, decode.d3.loss_cls: 0.3945, decode.d3.loss_mask: 0.5733, decode.d3.loss_dice: 0.8328, decode.d4.loss_cls: 0.3844, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8290, decode.d5.loss_cls: 0.3818, decode.d5.loss_mask: 0.5705, decode.d5.loss_dice: 0.8300, decode.d6.loss_cls: 0.3771, decode.d6.loss_mask: 0.5677, decode.d6.loss_dice: 0.8165, decode.d7.loss_cls: 0.3760, decode.d7.loss_mask: 0.5700, decode.d7.loss_dice: 0.8209, decode.d8.loss_cls: 0.3733, decode.d8.loss_mask: 0.5679, decode.d8.loss_dice: 0.8172, loss: 19.1571 2022-05-01 05:34:55,752 - mmseg - INFO - Iter [25400/80000] lr: 9.799e-07, eta: 1 day, 5:43:33, time: 1.878, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3842, decode.loss_mask: 0.5748, decode.loss_dice: 0.8188, decode.d0.loss_cls: 1.4373, decode.d0.loss_mask: 0.6347, decode.d0.loss_dice: 0.9412, decode.d1.loss_cls: 0.4764, decode.d1.loss_mask: 0.6041, decode.d1.loss_dice: 0.8775, decode.d2.loss_cls: 0.4269, decode.d2.loss_mask: 0.5852, decode.d2.loss_dice: 0.8422, decode.d3.loss_cls: 0.4059, decode.d3.loss_mask: 0.5780, decode.d3.loss_dice: 0.8291, decode.d4.loss_cls: 0.4034, decode.d4.loss_mask: 0.5753, decode.d4.loss_dice: 0.8253, decode.d5.loss_cls: 0.3920, decode.d5.loss_mask: 0.5789, decode.d5.loss_dice: 0.8286, decode.d6.loss_cls: 0.3871, decode.d6.loss_mask: 0.5742, decode.d6.loss_dice: 0.8212, decode.d7.loss_cls: 0.3857, decode.d7.loss_mask: 0.5741, decode.d7.loss_dice: 0.8257, decode.d8.loss_cls: 0.3890, decode.d8.loss_mask: 0.5730, decode.d8.loss_dice: 0.8196, loss: 19.3695 2022-05-01 05:36:30,450 - mmseg - INFO - Iter [25450/80000] lr: 9.791e-07, eta: 1 day, 5:41:48, time: 1.894, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3670, decode.loss_mask: 0.5826, decode.loss_dice: 0.8305, decode.d0.loss_cls: 1.3687, decode.d0.loss_mask: 0.6309, decode.d0.loss_dice: 0.9473, decode.d1.loss_cls: 0.4637, decode.d1.loss_mask: 0.6106, decode.d1.loss_dice: 0.8966, decode.d2.loss_cls: 0.4070, decode.d2.loss_mask: 0.5984, decode.d2.loss_dice: 0.8594, decode.d3.loss_cls: 0.3961, decode.d3.loss_mask: 0.5898, decode.d3.loss_dice: 0.8411, decode.d4.loss_cls: 0.3780, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8416, decode.d5.loss_cls: 0.3726, decode.d5.loss_mask: 0.5841, decode.d5.loss_dice: 0.8370, decode.d6.loss_cls: 0.3635, decode.d6.loss_mask: 0.5849, decode.d6.loss_dice: 0.8299, decode.d7.loss_cls: 0.3681, decode.d7.loss_mask: 0.5835, decode.d7.loss_dice: 0.8291, decode.d8.loss_cls: 0.3633, decode.d8.loss_mask: 0.5834, decode.d8.loss_dice: 0.8304, loss: 19.3235 2022-05-01 05:38:03,758 - mmseg - INFO - Iter [25500/80000] lr: 9.782e-07, eta: 1 day, 5:40:00, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3731, decode.loss_mask: 0.5497, decode.loss_dice: 0.8042, decode.d0.loss_cls: 1.4372, decode.d0.loss_mask: 0.5992, decode.d0.loss_dice: 0.9304, decode.d1.loss_cls: 0.4863, decode.d1.loss_mask: 0.5790, decode.d1.loss_dice: 0.8598, decode.d2.loss_cls: 0.4253, decode.d2.loss_mask: 0.5603, decode.d2.loss_dice: 0.8214, decode.d3.loss_cls: 0.4019, decode.d3.loss_mask: 0.5542, decode.d3.loss_dice: 0.8145, decode.d4.loss_cls: 0.3979, decode.d4.loss_mask: 0.5525, decode.d4.loss_dice: 0.8075, decode.d5.loss_cls: 0.3906, decode.d5.loss_mask: 0.5538, decode.d5.loss_dice: 0.8049, decode.d6.loss_cls: 0.3798, decode.d6.loss_mask: 0.5487, decode.d6.loss_dice: 0.8023, decode.d7.loss_cls: 0.3779, decode.d7.loss_mask: 0.5498, decode.d7.loss_dice: 0.8053, decode.d8.loss_cls: 0.3800, decode.d8.loss_mask: 0.5488, decode.d8.loss_dice: 0.8044, loss: 18.9007 2022-05-01 05:39:38,068 - mmseg - INFO - Iter [25550/80000] lr: 9.773e-07, eta: 1 day, 5:38:14, time: 1.886, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3922, decode.loss_mask: 0.5780, decode.loss_dice: 0.8195, decode.d0.loss_cls: 1.4260, decode.d0.loss_mask: 0.6299, decode.d0.loss_dice: 0.9430, decode.d1.loss_cls: 0.4784, decode.d1.loss_mask: 0.6126, decode.d1.loss_dice: 0.8855, decode.d2.loss_cls: 0.4285, decode.d2.loss_mask: 0.5918, decode.d2.loss_dice: 0.8548, decode.d3.loss_cls: 0.4074, decode.d3.loss_mask: 0.5902, decode.d3.loss_dice: 0.8374, decode.d4.loss_cls: 0.4009, decode.d4.loss_mask: 0.5850, decode.d4.loss_dice: 0.8303, decode.d5.loss_cls: 0.3980, decode.d5.loss_mask: 0.5828, decode.d5.loss_dice: 0.8311, decode.d6.loss_cls: 0.3934, decode.d6.loss_mask: 0.5793, decode.d6.loss_dice: 0.8226, decode.d7.loss_cls: 0.3886, decode.d7.loss_mask: 0.5802, decode.d7.loss_dice: 0.8238, decode.d8.loss_cls: 0.3927, decode.d8.loss_mask: 0.5804, decode.d8.loss_dice: 0.8226, loss: 19.4871 2022-05-01 05:41:11,426 - mmseg - INFO - Iter [25600/80000] lr: 9.764e-07, eta: 1 day, 5:36:26, time: 1.867, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4100, decode.loss_mask: 0.5566, decode.loss_dice: 0.8180, decode.d0.loss_cls: 1.4383, decode.d0.loss_mask: 0.6095, decode.d0.loss_dice: 0.9456, decode.d1.loss_cls: 0.5023, decode.d1.loss_mask: 0.5843, decode.d1.loss_dice: 0.8822, decode.d2.loss_cls: 0.4482, decode.d2.loss_mask: 0.5720, decode.d2.loss_dice: 0.8536, decode.d3.loss_cls: 0.4300, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8343, decode.d4.loss_cls: 0.4162, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8343, decode.d5.loss_cls: 0.4114, decode.d5.loss_mask: 0.5633, decode.d5.loss_dice: 0.8369, decode.d6.loss_cls: 0.4074, decode.d6.loss_mask: 0.5597, decode.d6.loss_dice: 0.8254, decode.d7.loss_cls: 0.4065, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.8248, decode.d8.loss_cls: 0.4068, decode.d8.loss_mask: 0.5563, decode.d8.loss_dice: 0.8242, loss: 19.4427 2022-05-01 05:42:45,292 - mmseg - INFO - Iter [25650/80000] lr: 9.755e-07, eta: 1 day, 5:34:39, time: 1.874, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3875, decode.loss_mask: 0.5632, decode.loss_dice: 0.8274, decode.d0.loss_cls: 1.4521, decode.d0.loss_mask: 0.6110, decode.d0.loss_dice: 0.9365, decode.d1.loss_cls: 0.4766, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.8875, decode.d2.loss_cls: 0.4296, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8526, decode.d3.loss_cls: 0.4090, decode.d3.loss_mask: 0.5670, decode.d3.loss_dice: 0.8390, decode.d4.loss_cls: 0.4014, decode.d4.loss_mask: 0.5673, decode.d4.loss_dice: 0.8367, decode.d5.loss_cls: 0.3932, decode.d5.loss_mask: 0.5671, decode.d5.loss_dice: 0.8338, decode.d6.loss_cls: 0.3904, decode.d6.loss_mask: 0.5634, decode.d6.loss_dice: 0.8273, decode.d7.loss_cls: 0.3883, decode.d7.loss_mask: 0.5626, decode.d7.loss_dice: 0.8217, decode.d8.loss_cls: 0.3879, decode.d8.loss_mask: 0.5608, decode.d8.loss_dice: 0.8251, loss: 19.3287 2022-05-01 05:44:19,315 - mmseg - INFO - Iter [25700/80000] lr: 9.746e-07, eta: 1 day, 5:32:53, time: 1.885, data_time: 0.021, memory: 64716, decode.loss_cls: 0.3818, decode.loss_mask: 0.5644, decode.loss_dice: 0.8117, decode.d0.loss_cls: 1.4074, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9380, decode.d1.loss_cls: 0.4673, decode.d1.loss_mask: 0.5982, decode.d1.loss_dice: 0.8794, decode.d2.loss_cls: 0.4219, decode.d2.loss_mask: 0.5754, decode.d2.loss_dice: 0.8457, decode.d3.loss_cls: 0.4008, decode.d3.loss_mask: 0.5709, decode.d3.loss_dice: 0.8263, decode.d4.loss_cls: 0.3942, decode.d4.loss_mask: 0.5695, decode.d4.loss_dice: 0.8236, decode.d5.loss_cls: 0.3905, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8258, decode.d6.loss_cls: 0.3828, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8146, decode.d7.loss_cls: 0.3794, decode.d7.loss_mask: 0.5666, decode.d7.loss_dice: 0.8168, decode.d8.loss_cls: 0.3812, decode.d8.loss_mask: 0.5652, decode.d8.loss_dice: 0.8143, loss: 19.1636 2022-05-01 05:45:51,485 - mmseg - INFO - Iter [25750/80000] lr: 9.737e-07, eta: 1 day, 5:31:03, time: 1.844, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3618, decode.loss_mask: 0.5714, decode.loss_dice: 0.8252, decode.d0.loss_cls: 1.4084, decode.d0.loss_mask: 0.6247, decode.d0.loss_dice: 0.9440, decode.d1.loss_cls: 0.4499, decode.d1.loss_mask: 0.6011, decode.d1.loss_dice: 0.8897, decode.d2.loss_cls: 0.4058, decode.d2.loss_mask: 0.5879, decode.d2.loss_dice: 0.8566, decode.d3.loss_cls: 0.3881, decode.d3.loss_mask: 0.5776, decode.d3.loss_dice: 0.8424, decode.d4.loss_cls: 0.3783, decode.d4.loss_mask: 0.5774, decode.d4.loss_dice: 0.8400, decode.d5.loss_cls: 0.3734, decode.d5.loss_mask: 0.5765, decode.d5.loss_dice: 0.8363, decode.d6.loss_cls: 0.3628, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8247, decode.d7.loss_cls: 0.3590, decode.d7.loss_mask: 0.5726, decode.d7.loss_dice: 0.8245, decode.d8.loss_cls: 0.3598, decode.d8.loss_mask: 0.5738, decode.d8.loss_dice: 0.8254, loss: 19.1928 2022-05-01 05:47:25,097 - mmseg - INFO - Iter [25800/80000] lr: 9.728e-07, eta: 1 day, 5:29:16, time: 1.871, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3775, decode.loss_mask: 0.5735, decode.loss_dice: 0.8142, decode.d0.loss_cls: 1.4260, decode.d0.loss_mask: 0.6288, decode.d0.loss_dice: 0.9259, decode.d1.loss_cls: 0.4599, decode.d1.loss_mask: 0.6037, decode.d1.loss_dice: 0.8746, decode.d2.loss_cls: 0.4236, decode.d2.loss_mask: 0.5884, decode.d2.loss_dice: 0.8515, decode.d3.loss_cls: 0.4031, decode.d3.loss_mask: 0.5824, decode.d3.loss_dice: 0.8238, decode.d4.loss_cls: 0.3948, decode.d4.loss_mask: 0.5765, decode.d4.loss_dice: 0.8235, decode.d5.loss_cls: 0.3901, decode.d5.loss_mask: 0.5794, decode.d5.loss_dice: 0.8172, decode.d6.loss_cls: 0.3902, decode.d6.loss_mask: 0.5726, decode.d6.loss_dice: 0.8108, decode.d7.loss_cls: 0.3861, decode.d7.loss_mask: 0.5737, decode.d7.loss_dice: 0.8163, decode.d8.loss_cls: 0.3816, decode.d8.loss_mask: 0.5735, decode.d8.loss_dice: 0.8111, loss: 19.2543 2022-05-01 05:48:57,037 - mmseg - INFO - Iter [25850/80000] lr: 9.719e-07, eta: 1 day, 5:27:26, time: 1.839, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3926, decode.loss_mask: 0.5756, decode.loss_dice: 0.8278, decode.d0.loss_cls: 1.4193, decode.d0.loss_mask: 0.6360, decode.d0.loss_dice: 0.9555, decode.d1.loss_cls: 0.4845, decode.d1.loss_mask: 0.6074, decode.d1.loss_dice: 0.8995, decode.d2.loss_cls: 0.4362, decode.d2.loss_mask: 0.5931, decode.d2.loss_dice: 0.8669, decode.d3.loss_cls: 0.4176, decode.d3.loss_mask: 0.5844, decode.d3.loss_dice: 0.8431, decode.d4.loss_cls: 0.4088, decode.d4.loss_mask: 0.5813, decode.d4.loss_dice: 0.8391, decode.d5.loss_cls: 0.4007, decode.d5.loss_mask: 0.5816, decode.d5.loss_dice: 0.8380, decode.d6.loss_cls: 0.3966, decode.d6.loss_mask: 0.5775, decode.d6.loss_dice: 0.8293, decode.d7.loss_cls: 0.3889, decode.d7.loss_mask: 0.5768, decode.d7.loss_dice: 0.8304, decode.d8.loss_cls: 0.3895, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8291, loss: 19.5837 2022-05-01 05:50:30,113 - mmseg - INFO - Iter [25900/80000] lr: 9.710e-07, eta: 1 day, 5:25:38, time: 1.861, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3868, decode.loss_mask: 0.5552, decode.loss_dice: 0.8279, decode.d0.loss_cls: 1.3969, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.9472, decode.d1.loss_cls: 0.4767, decode.d1.loss_mask: 0.5827, decode.d1.loss_dice: 0.8778, decode.d2.loss_cls: 0.4245, decode.d2.loss_mask: 0.5668, decode.d2.loss_dice: 0.8465, decode.d3.loss_cls: 0.4049, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8402, decode.d4.loss_cls: 0.3945, decode.d4.loss_mask: 0.5597, decode.d4.loss_dice: 0.8363, decode.d5.loss_cls: 0.3906, decode.d5.loss_mask: 0.5601, decode.d5.loss_dice: 0.8383, decode.d6.loss_cls: 0.3897, decode.d6.loss_mask: 0.5562, decode.d6.loss_dice: 0.8244, decode.d7.loss_cls: 0.3824, decode.d7.loss_mask: 0.5573, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.3817, decode.d8.loss_mask: 0.5556, decode.d8.loss_dice: 0.8296, loss: 19.1756 2022-05-01 05:52:03,533 - mmseg - INFO - Iter [25950/80000] lr: 9.701e-07, eta: 1 day, 5:23:50, time: 1.870, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3852, decode.loss_mask: 0.5830, decode.loss_dice: 0.8352, decode.d0.loss_cls: 1.3934, decode.d0.loss_mask: 0.6284, decode.d0.loss_dice: 0.9428, decode.d1.loss_cls: 0.4639, decode.d1.loss_mask: 0.6103, decode.d1.loss_dice: 0.9050, decode.d2.loss_cls: 0.4189, decode.d2.loss_mask: 0.5965, decode.d2.loss_dice: 0.8612, decode.d3.loss_cls: 0.4007, decode.d3.loss_mask: 0.5890, decode.d3.loss_dice: 0.8442, decode.d4.loss_cls: 0.3990, decode.d4.loss_mask: 0.5870, decode.d4.loss_dice: 0.8391, decode.d5.loss_cls: 0.3934, decode.d5.loss_mask: 0.5866, decode.d5.loss_dice: 0.8425, decode.d6.loss_cls: 0.3852, decode.d6.loss_mask: 0.5816, decode.d6.loss_dice: 0.8354, decode.d7.loss_cls: 0.3832, decode.d7.loss_mask: 0.5813, decode.d7.loss_dice: 0.8351, decode.d8.loss_cls: 0.3812, decode.d8.loss_mask: 0.5845, decode.d8.loss_dice: 0.8391, loss: 19.5119 2022-05-01 05:53:36,007 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-05-01 05:53:54,418 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 05:53:54,418 - mmseg - INFO - Iter [26000/80000] lr: 9.692e-07, eta: 1 day, 5:22:40, time: 2.218, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3857, decode.loss_mask: 0.5806, decode.loss_dice: 0.8232, decode.d0.loss_cls: 1.4180, decode.d0.loss_mask: 0.6298, decode.d0.loss_dice: 0.9396, decode.d1.loss_cls: 0.4770, decode.d1.loss_mask: 0.6105, decode.d1.loss_dice: 0.8931, decode.d2.loss_cls: 0.4205, decode.d2.loss_mask: 0.5990, decode.d2.loss_dice: 0.8583, decode.d3.loss_cls: 0.4029, decode.d3.loss_mask: 0.5875, decode.d3.loss_dice: 0.8386, decode.d4.loss_cls: 0.3957, decode.d4.loss_mask: 0.5855, decode.d4.loss_dice: 0.8376, decode.d5.loss_cls: 0.3928, decode.d5.loss_mask: 0.5856, decode.d5.loss_dice: 0.8336, decode.d6.loss_cls: 0.3841, decode.d6.loss_mask: 0.5832, decode.d6.loss_dice: 0.8264, decode.d7.loss_cls: 0.3823, decode.d7.loss_mask: 0.5816, decode.d7.loss_dice: 0.8227, decode.d8.loss_cls: 0.3851, decode.d8.loss_mask: 0.5805, decode.d8.loss_dice: 0.8226, loss: 19.4636 2022-05-01 05:55:27,856 - mmseg - INFO - Iter [26050/80000] lr: 9.683e-07, eta: 1 day, 5:20:52, time: 1.867, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3934, decode.loss_mask: 0.5651, decode.loss_dice: 0.8377, decode.d0.loss_cls: 1.4437, decode.d0.loss_mask: 0.6099, decode.d0.loss_dice: 0.9581, decode.d1.loss_cls: 0.4903, decode.d1.loss_mask: 0.5895, decode.d1.loss_dice: 0.9008, decode.d2.loss_cls: 0.4311, decode.d2.loss_mask: 0.5762, decode.d2.loss_dice: 0.8709, decode.d3.loss_cls: 0.4138, decode.d3.loss_mask: 0.5702, decode.d3.loss_dice: 0.8527, decode.d4.loss_cls: 0.4037, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8501, decode.d5.loss_cls: 0.3990, decode.d5.loss_mask: 0.5658, decode.d5.loss_dice: 0.8452, decode.d6.loss_cls: 0.3941, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8360, decode.d7.loss_cls: 0.3896, decode.d7.loss_mask: 0.5634, decode.d7.loss_dice: 0.8417, decode.d8.loss_cls: 0.3922, decode.d8.loss_mask: 0.5640, decode.d8.loss_dice: 0.8353, loss: 19.5169 2022-05-01 05:57:01,640 - mmseg - INFO - Iter [26100/80000] lr: 9.674e-07, eta: 1 day, 5:19:06, time: 1.877, data_time: 0.018, memory: 64716, decode.loss_cls: 0.4013, decode.loss_mask: 0.5711, decode.loss_dice: 0.8318, decode.d0.loss_cls: 1.4429, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9561, decode.d1.loss_cls: 0.4765, decode.d1.loss_mask: 0.5985, decode.d1.loss_dice: 0.9064, decode.d2.loss_cls: 0.4285, decode.d2.loss_mask: 0.5848, decode.d2.loss_dice: 0.8655, decode.d3.loss_cls: 0.4130, decode.d3.loss_mask: 0.5767, decode.d3.loss_dice: 0.8455, decode.d4.loss_cls: 0.4028, decode.d4.loss_mask: 0.5761, decode.d4.loss_dice: 0.8455, decode.d5.loss_cls: 0.4014, decode.d5.loss_mask: 0.5731, decode.d5.loss_dice: 0.8405, decode.d6.loss_cls: 0.3979, decode.d6.loss_mask: 0.5713, decode.d6.loss_dice: 0.8347, decode.d7.loss_cls: 0.3945, decode.d7.loss_mask: 0.5704, decode.d7.loss_dice: 0.8379, decode.d8.loss_cls: 0.3975, decode.d8.loss_mask: 0.5720, decode.d8.loss_dice: 0.8382, loss: 19.5707 2022-05-01 05:58:36,349 - mmseg - INFO - Iter [26150/80000] lr: 9.665e-07, eta: 1 day, 5:17:21, time: 1.893, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3769, decode.loss_mask: 0.5689, decode.loss_dice: 0.8085, decode.d0.loss_cls: 1.4062, decode.d0.loss_mask: 0.6130, decode.d0.loss_dice: 0.9282, decode.d1.loss_cls: 0.4620, decode.d1.loss_mask: 0.6004, decode.d1.loss_dice: 0.8750, decode.d2.loss_cls: 0.4117, decode.d2.loss_mask: 0.5840, decode.d2.loss_dice: 0.8473, decode.d3.loss_cls: 0.3960, decode.d3.loss_mask: 0.5744, decode.d3.loss_dice: 0.8245, decode.d4.loss_cls: 0.3894, decode.d4.loss_mask: 0.5744, decode.d4.loss_dice: 0.8284, decode.d5.loss_cls: 0.3841, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8147, decode.d6.loss_cls: 0.3786, decode.d6.loss_mask: 0.5685, decode.d6.loss_dice: 0.8099, decode.d7.loss_cls: 0.3772, decode.d7.loss_mask: 0.5705, decode.d7.loss_dice: 0.8084, decode.d8.loss_cls: 0.3793, decode.d8.loss_mask: 0.5685, decode.d8.loss_dice: 0.8076, loss: 19.1071 2022-05-01 06:00:11,467 - mmseg - INFO - Iter [26200/80000] lr: 9.656e-07, eta: 1 day, 5:15:38, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4053, decode.loss_mask: 0.5868, decode.loss_dice: 0.8524, decode.d0.loss_cls: 1.4397, decode.d0.loss_mask: 0.6370, decode.d0.loss_dice: 0.9728, decode.d1.loss_cls: 0.4932, decode.d1.loss_mask: 0.6118, decode.d1.loss_dice: 0.9122, decode.d2.loss_cls: 0.4432, decode.d2.loss_mask: 0.6033, decode.d2.loss_dice: 0.8767, decode.d3.loss_cls: 0.4222, decode.d3.loss_mask: 0.5940, decode.d3.loss_dice: 0.8673, decode.d4.loss_cls: 0.4064, decode.d4.loss_mask: 0.5963, decode.d4.loss_dice: 0.8635, decode.d5.loss_cls: 0.4093, decode.d5.loss_mask: 0.5958, decode.d5.loss_dice: 0.8621, decode.d6.loss_cls: 0.3941, decode.d6.loss_mask: 0.5903, decode.d6.loss_dice: 0.8545, decode.d7.loss_cls: 0.4018, decode.d7.loss_mask: 0.5884, decode.d7.loss_dice: 0.8553, decode.d8.loss_cls: 0.4004, decode.d8.loss_mask: 0.5906, decode.d8.loss_dice: 0.8504, loss: 19.9771 2022-05-01 06:01:45,035 - mmseg - INFO - Iter [26250/80000] lr: 9.647e-07, eta: 1 day, 5:13:51, time: 1.872, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3905, decode.loss_mask: 0.5581, decode.loss_dice: 0.8146, decode.d0.loss_cls: 1.4201, decode.d0.loss_mask: 0.6019, decode.d0.loss_dice: 0.9332, decode.d1.loss_cls: 0.4651, decode.d1.loss_mask: 0.5831, decode.d1.loss_dice: 0.8786, decode.d2.loss_cls: 0.4246, decode.d2.loss_mask: 0.5719, decode.d2.loss_dice: 0.8508, decode.d3.loss_cls: 0.4088, decode.d3.loss_mask: 0.5598, decode.d3.loss_dice: 0.8274, decode.d4.loss_cls: 0.4004, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8304, decode.d5.loss_cls: 0.3947, decode.d5.loss_mask: 0.5581, decode.d5.loss_dice: 0.8218, decode.d6.loss_cls: 0.3872, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8208, decode.d7.loss_cls: 0.3842, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.8171, decode.d8.loss_cls: 0.3861, decode.d8.loss_mask: 0.5576, decode.d8.loss_dice: 0.8149, loss: 19.1388 2022-05-01 06:03:18,507 - mmseg - INFO - Iter [26300/80000] lr: 9.638e-07, eta: 1 day, 5:12:04, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.4056, decode.loss_mask: 0.5686, decode.loss_dice: 0.8177, decode.d0.loss_cls: 1.4179, decode.d0.loss_mask: 0.6144, decode.d0.loss_dice: 0.9437, decode.d1.loss_cls: 0.5017, decode.d1.loss_mask: 0.5969, decode.d1.loss_dice: 0.8762, decode.d2.loss_cls: 0.4404, decode.d2.loss_mask: 0.5790, decode.d2.loss_dice: 0.8467, decode.d3.loss_cls: 0.4234, decode.d3.loss_mask: 0.5739, decode.d3.loss_dice: 0.8284, decode.d4.loss_cls: 0.4215, decode.d4.loss_mask: 0.5711, decode.d4.loss_dice: 0.8212, decode.d5.loss_cls: 0.4128, decode.d5.loss_mask: 0.5729, decode.d5.loss_dice: 0.8243, decode.d6.loss_cls: 0.4098, decode.d6.loss_mask: 0.5681, decode.d6.loss_dice: 0.8187, decode.d7.loss_cls: 0.4063, decode.d7.loss_mask: 0.5672, decode.d7.loss_dice: 0.8154, decode.d8.loss_cls: 0.4046, decode.d8.loss_mask: 0.5666, decode.d8.loss_dice: 0.8221, loss: 19.4370 2022-05-01 06:04:50,001 - mmseg - INFO - Iter [26350/80000] lr: 9.629e-07, eta: 1 day, 5:10:13, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3845, decode.loss_mask: 0.5414, decode.loss_dice: 0.8224, decode.d0.loss_cls: 1.4022, decode.d0.loss_mask: 0.5856, decode.d0.loss_dice: 0.9298, decode.d1.loss_cls: 0.4757, decode.d1.loss_mask: 0.5658, decode.d1.loss_dice: 0.8904, decode.d2.loss_cls: 0.4208, decode.d2.loss_mask: 0.5521, decode.d2.loss_dice: 0.8476, decode.d3.loss_cls: 0.4029, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.8397, decode.d4.loss_cls: 0.4022, decode.d4.loss_mask: 0.5424, decode.d4.loss_dice: 0.8299, decode.d5.loss_cls: 0.3900, decode.d5.loss_mask: 0.5440, decode.d5.loss_dice: 0.8296, decode.d6.loss_cls: 0.3856, decode.d6.loss_mask: 0.5429, decode.d6.loss_dice: 0.8226, decode.d7.loss_cls: 0.3891, decode.d7.loss_mask: 0.5416, decode.d7.loss_dice: 0.8201, decode.d8.loss_cls: 0.3862, decode.d8.loss_mask: 0.5426, decode.d8.loss_dice: 0.8237, loss: 18.9985 2022-05-01 06:06:22,493 - mmseg - INFO - Iter [26400/80000] lr: 9.620e-07, eta: 1 day, 5:08:24, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3955, decode.loss_mask: 0.5698, decode.loss_dice: 0.8253, decode.d0.loss_cls: 1.4207, decode.d0.loss_mask: 0.6249, decode.d0.loss_dice: 0.9502, decode.d1.loss_cls: 0.4750, decode.d1.loss_mask: 0.5966, decode.d1.loss_dice: 0.8923, decode.d2.loss_cls: 0.4221, decode.d2.loss_mask: 0.5806, decode.d2.loss_dice: 0.8581, decode.d3.loss_cls: 0.4124, decode.d3.loss_mask: 0.5754, decode.d3.loss_dice: 0.8411, decode.d4.loss_cls: 0.4084, decode.d4.loss_mask: 0.5738, decode.d4.loss_dice: 0.8447, decode.d5.loss_cls: 0.4019, decode.d5.loss_mask: 0.5723, decode.d5.loss_dice: 0.8354, decode.d6.loss_cls: 0.3964, decode.d6.loss_mask: 0.5697, decode.d6.loss_dice: 0.8254, decode.d7.loss_cls: 0.3947, decode.d7.loss_mask: 0.5716, decode.d7.loss_dice: 0.8286, decode.d8.loss_cls: 0.3935, decode.d8.loss_mask: 0.5677, decode.d8.loss_dice: 0.8336, loss: 19.4577 2022-05-01 06:07:56,948 - mmseg - INFO - Iter [26450/80000] lr: 9.611e-07, eta: 1 day, 5:06:39, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3790, decode.loss_mask: 0.5912, decode.loss_dice: 0.8204, decode.d0.loss_cls: 1.4099, decode.d0.loss_mask: 0.6340, decode.d0.loss_dice: 0.9404, decode.d1.loss_cls: 0.4595, decode.d1.loss_mask: 0.6147, decode.d1.loss_dice: 0.8883, decode.d2.loss_cls: 0.4204, decode.d2.loss_mask: 0.5980, decode.d2.loss_dice: 0.8529, decode.d3.loss_cls: 0.4037, decode.d3.loss_mask: 0.5914, decode.d3.loss_dice: 0.8331, decode.d4.loss_cls: 0.3927, decode.d4.loss_mask: 0.5897, decode.d4.loss_dice: 0.8369, decode.d5.loss_cls: 0.3843, decode.d5.loss_mask: 0.5915, decode.d5.loss_dice: 0.8308, decode.d6.loss_cls: 0.3828, decode.d6.loss_mask: 0.5904, decode.d6.loss_dice: 0.8273, decode.d7.loss_cls: 0.3793, decode.d7.loss_mask: 0.5901, decode.d7.loss_dice: 0.8233, decode.d8.loss_cls: 0.3752, decode.d8.loss_mask: 0.5902, decode.d8.loss_dice: 0.8212, loss: 19.4426 2022-05-01 06:09:30,216 - mmseg - INFO - Iter [26500/80000] lr: 9.602e-07, eta: 1 day, 5:04:52, time: 1.866, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3779, decode.loss_mask: 0.5831, decode.loss_dice: 0.8304, decode.d0.loss_cls: 1.4300, decode.d0.loss_mask: 0.6278, decode.d0.loss_dice: 0.9454, decode.d1.loss_cls: 0.4624, decode.d1.loss_mask: 0.6057, decode.d1.loss_dice: 0.8937, decode.d2.loss_cls: 0.4163, decode.d2.loss_mask: 0.5948, decode.d2.loss_dice: 0.8654, decode.d3.loss_cls: 0.3988, decode.d3.loss_mask: 0.5882, decode.d3.loss_dice: 0.8529, decode.d4.loss_cls: 0.3899, decode.d4.loss_mask: 0.5854, decode.d4.loss_dice: 0.8443, decode.d5.loss_cls: 0.3849, decode.d5.loss_mask: 0.5832, decode.d5.loss_dice: 0.8405, decode.d6.loss_cls: 0.3778, decode.d6.loss_mask: 0.5789, decode.d6.loss_dice: 0.8279, decode.d7.loss_cls: 0.3764, decode.d7.loss_mask: 0.5788, decode.d7.loss_dice: 0.8344, decode.d8.loss_cls: 0.3790, decode.d8.loss_mask: 0.5817, decode.d8.loss_dice: 0.8341, loss: 19.4698 2022-05-01 06:11:07,221 - mmseg - INFO - Iter [26550/80000] lr: 9.593e-07, eta: 1 day, 5:03:13, time: 1.940, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3807, decode.loss_mask: 0.5965, decode.loss_dice: 0.8372, decode.d0.loss_cls: 1.4055, decode.d0.loss_mask: 0.6400, decode.d0.loss_dice: 0.9578, decode.d1.loss_cls: 0.4625, decode.d1.loss_mask: 0.6266, decode.d1.loss_dice: 0.9069, decode.d2.loss_cls: 0.4227, decode.d2.loss_mask: 0.6068, decode.d2.loss_dice: 0.8759, decode.d3.loss_cls: 0.4031, decode.d3.loss_mask: 0.6032, decode.d3.loss_dice: 0.8536, decode.d4.loss_cls: 0.3960, decode.d4.loss_mask: 0.5998, decode.d4.loss_dice: 0.8536, decode.d5.loss_cls: 0.3889, decode.d5.loss_mask: 0.6008, decode.d5.loss_dice: 0.8514, decode.d6.loss_cls: 0.3779, decode.d6.loss_mask: 0.5959, decode.d6.loss_dice: 0.8399, decode.d7.loss_cls: 0.3771, decode.d7.loss_mask: 0.5986, decode.d7.loss_dice: 0.8392, decode.d8.loss_cls: 0.3810, decode.d8.loss_mask: 0.5951, decode.d8.loss_dice: 0.8375, loss: 19.7116 2022-05-01 06:12:39,238 - mmseg - INFO - Iter [26600/80000] lr: 9.584e-07, eta: 1 day, 5:01:23, time: 1.841, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3677, decode.loss_mask: 0.5744, decode.loss_dice: 0.8140, decode.d0.loss_cls: 1.3869, decode.d0.loss_mask: 0.6154, decode.d0.loss_dice: 0.9207, decode.d1.loss_cls: 0.4530, decode.d1.loss_mask: 0.6013, decode.d1.loss_dice: 0.8808, decode.d2.loss_cls: 0.4095, decode.d2.loss_mask: 0.5869, decode.d2.loss_dice: 0.8485, decode.d3.loss_cls: 0.3943, decode.d3.loss_mask: 0.5807, decode.d3.loss_dice: 0.8312, decode.d4.loss_cls: 0.3824, decode.d4.loss_mask: 0.5771, decode.d4.loss_dice: 0.8318, decode.d5.loss_cls: 0.3763, decode.d5.loss_mask: 0.5769, decode.d5.loss_dice: 0.8266, decode.d6.loss_cls: 0.3682, decode.d6.loss_mask: 0.5752, decode.d6.loss_dice: 0.8171, decode.d7.loss_cls: 0.3697, decode.d7.loss_mask: 0.5757, decode.d7.loss_dice: 0.8187, decode.d8.loss_cls: 0.3663, decode.d8.loss_mask: 0.5739, decode.d8.loss_dice: 0.8195, loss: 19.1208 2022-05-01 06:14:11,678 - mmseg - INFO - Iter [26650/80000] lr: 9.575e-07, eta: 1 day, 4:59:35, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3682, decode.loss_mask: 0.5562, decode.loss_dice: 0.7874, decode.d0.loss_cls: 1.3918, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9117, decode.d1.loss_cls: 0.4509, decode.d1.loss_mask: 0.5928, decode.d1.loss_dice: 0.8544, decode.d2.loss_cls: 0.4073, decode.d2.loss_mask: 0.5727, decode.d2.loss_dice: 0.8167, decode.d3.loss_cls: 0.3899, decode.d3.loss_mask: 0.5655, decode.d3.loss_dice: 0.7981, decode.d4.loss_cls: 0.3783, decode.d4.loss_mask: 0.5642, decode.d4.loss_dice: 0.7972, decode.d5.loss_cls: 0.3766, decode.d5.loss_mask: 0.5621, decode.d5.loss_dice: 0.7982, decode.d6.loss_cls: 0.3667, decode.d6.loss_mask: 0.5597, decode.d6.loss_dice: 0.7863, decode.d7.loss_cls: 0.3681, decode.d7.loss_mask: 0.5569, decode.d7.loss_dice: 0.7828, decode.d8.loss_cls: 0.3691, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.7911, loss: 18.6932 2022-05-01 06:15:46,463 - mmseg - INFO - Iter [26700/80000] lr: 9.566e-07, eta: 1 day, 4:57:51, time: 1.896, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3958, decode.loss_mask: 0.5662, decode.loss_dice: 0.8320, decode.d0.loss_cls: 1.4468, decode.d0.loss_mask: 0.6126, decode.d0.loss_dice: 0.9493, decode.d1.loss_cls: 0.4888, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.9023, decode.d2.loss_cls: 0.4456, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8660, decode.d3.loss_cls: 0.4247, decode.d3.loss_mask: 0.5688, decode.d3.loss_dice: 0.8393, decode.d4.loss_cls: 0.4101, decode.d4.loss_mask: 0.5676, decode.d4.loss_dice: 0.8367, decode.d5.loss_cls: 0.4008, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8455, decode.d6.loss_cls: 0.3981, decode.d6.loss_mask: 0.5681, decode.d6.loss_dice: 0.8341, decode.d7.loss_cls: 0.3931, decode.d7.loss_mask: 0.5668, decode.d7.loss_dice: 0.8365, decode.d8.loss_cls: 0.3968, decode.d8.loss_mask: 0.5675, decode.d8.loss_dice: 0.8354, loss: 19.5346 2022-05-01 06:17:19,517 - mmseg - INFO - Iter [26750/80000] lr: 9.557e-07, eta: 1 day, 4:56:04, time: 1.862, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3796, decode.loss_mask: 0.5800, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.4094, decode.d0.loss_mask: 0.6232, decode.d0.loss_dice: 0.9257, decode.d1.loss_cls: 0.4526, decode.d1.loss_mask: 0.6106, decode.d1.loss_dice: 0.8694, decode.d2.loss_cls: 0.4104, decode.d2.loss_mask: 0.5923, decode.d2.loss_dice: 0.8425, decode.d3.loss_cls: 0.3935, decode.d3.loss_mask: 0.5847, decode.d3.loss_dice: 0.8233, decode.d4.loss_cls: 0.3850, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8201, decode.d5.loss_cls: 0.3843, decode.d5.loss_mask: 0.5822, decode.d5.loss_dice: 0.8192, decode.d6.loss_cls: 0.3757, decode.d6.loss_mask: 0.5789, decode.d6.loss_dice: 0.8148, decode.d7.loss_cls: 0.3788, decode.d7.loss_mask: 0.5787, decode.d7.loss_dice: 0.8138, decode.d8.loss_cls: 0.3757, decode.d8.loss_mask: 0.5796, decode.d8.loss_dice: 0.8151, loss: 19.1936 2022-05-01 06:18:52,049 - mmseg - INFO - Iter [26800/80000] lr: 9.548e-07, eta: 1 day, 4:54:15, time: 1.851, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3774, decode.loss_mask: 0.5659, decode.loss_dice: 0.8286, decode.d0.loss_cls: 1.4141, decode.d0.loss_mask: 0.6106, decode.d0.loss_dice: 0.9499, decode.d1.loss_cls: 0.4585, decode.d1.loss_mask: 0.5881, decode.d1.loss_dice: 0.8946, decode.d2.loss_cls: 0.4180, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8546, decode.d3.loss_cls: 0.3994, decode.d3.loss_mask: 0.5678, decode.d3.loss_dice: 0.8444, decode.d4.loss_cls: 0.3930, decode.d4.loss_mask: 0.5689, decode.d4.loss_dice: 0.8349, decode.d5.loss_cls: 0.3908, decode.d5.loss_mask: 0.5661, decode.d5.loss_dice: 0.8331, decode.d6.loss_cls: 0.3772, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3754, decode.d7.loss_mask: 0.5667, decode.d7.loss_dice: 0.8276, decode.d8.loss_cls: 0.3737, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8316, loss: 19.2384 2022-05-01 06:20:24,888 - mmseg - INFO - Iter [26850/80000] lr: 9.539e-07, eta: 1 day, 4:52:28, time: 1.856, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3727, decode.loss_mask: 0.5660, decode.loss_dice: 0.8197, decode.d0.loss_cls: 1.3992, decode.d0.loss_mask: 0.6209, decode.d0.loss_dice: 0.9454, decode.d1.loss_cls: 0.4621, decode.d1.loss_mask: 0.5949, decode.d1.loss_dice: 0.8889, decode.d2.loss_cls: 0.4160, decode.d2.loss_mask: 0.5798, decode.d2.loss_dice: 0.8520, decode.d3.loss_cls: 0.3933, decode.d3.loss_mask: 0.5726, decode.d3.loss_dice: 0.8351, decode.d4.loss_cls: 0.3821, decode.d4.loss_mask: 0.5688, decode.d4.loss_dice: 0.8325, decode.d5.loss_cls: 0.3762, decode.d5.loss_mask: 0.5713, decode.d5.loss_dice: 0.8320, decode.d6.loss_cls: 0.3751, decode.d6.loss_mask: 0.5659, decode.d6.loss_dice: 0.8211, decode.d7.loss_cls: 0.3686, decode.d7.loss_mask: 0.5684, decode.d7.loss_dice: 0.8199, decode.d8.loss_cls: 0.3725, decode.d8.loss_mask: 0.5656, decode.d8.loss_dice: 0.8193, loss: 19.1581 2022-05-01 06:21:56,793 - mmseg - INFO - Iter [26900/80000] lr: 9.530e-07, eta: 1 day, 4:50:38, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3665, decode.loss_mask: 0.5441, decode.loss_dice: 0.8036, decode.d0.loss_cls: 1.3907, decode.d0.loss_mask: 0.5840, decode.d0.loss_dice: 0.9258, decode.d1.loss_cls: 0.4619, decode.d1.loss_mask: 0.5636, decode.d1.loss_dice: 0.8638, decode.d2.loss_cls: 0.3990, decode.d2.loss_mask: 0.5504, decode.d2.loss_dice: 0.8341, decode.d3.loss_cls: 0.3800, decode.d3.loss_mask: 0.5419, decode.d3.loss_dice: 0.8215, decode.d4.loss_cls: 0.3742, decode.d4.loss_mask: 0.5433, decode.d4.loss_dice: 0.8156, decode.d5.loss_cls: 0.3771, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.8158, decode.d6.loss_cls: 0.3686, decode.d6.loss_mask: 0.5414, decode.d6.loss_dice: 0.8048, decode.d7.loss_cls: 0.3695, decode.d7.loss_mask: 0.5419, decode.d7.loss_dice: 0.8081, decode.d8.loss_cls: 0.3644, decode.d8.loss_mask: 0.5447, decode.d8.loss_dice: 0.8038, loss: 18.6509 2022-05-01 06:23:28,991 - mmseg - INFO - Iter [26950/80000] lr: 9.521e-07, eta: 1 day, 4:48:49, time: 1.845, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3732, decode.loss_mask: 0.5916, decode.loss_dice: 0.8471, decode.d0.loss_cls: 1.3955, decode.d0.loss_mask: 0.6402, decode.d0.loss_dice: 0.9518, decode.d1.loss_cls: 0.4664, decode.d1.loss_mask: 0.6190, decode.d1.loss_dice: 0.9067, decode.d2.loss_cls: 0.4169, decode.d2.loss_mask: 0.6066, decode.d2.loss_dice: 0.8741, decode.d3.loss_cls: 0.4009, decode.d3.loss_mask: 0.5975, decode.d3.loss_dice: 0.8545, decode.d4.loss_cls: 0.3927, decode.d4.loss_mask: 0.5972, decode.d4.loss_dice: 0.8485, decode.d5.loss_cls: 0.3865, decode.d5.loss_mask: 0.5960, decode.d5.loss_dice: 0.8496, decode.d6.loss_cls: 0.3844, decode.d6.loss_mask: 0.5917, decode.d6.loss_dice: 0.8372, decode.d7.loss_cls: 0.3812, decode.d7.loss_mask: 0.5925, decode.d7.loss_dice: 0.8395, decode.d8.loss_cls: 0.3754, decode.d8.loss_mask: 0.5917, decode.d8.loss_dice: 0.8414, loss: 19.6473 2022-05-01 06:25:03,937 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-05-01 06:25:38,239 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 06:25:38,335 - mmseg - INFO - Iter [27000/80000] lr: 9.512e-07, eta: 1 day, 4:48:13, time: 2.582, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3676, decode.loss_mask: 0.5699, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.4020, decode.d0.loss_mask: 0.6171, decode.d0.loss_dice: 0.9296, decode.d1.loss_cls: 0.4437, decode.d1.loss_mask: 0.5998, decode.d1.loss_dice: 0.8782, decode.d2.loss_cls: 0.4104, decode.d2.loss_mask: 0.5823, decode.d2.loss_dice: 0.8453, decode.d3.loss_cls: 0.3915, decode.d3.loss_mask: 0.5762, decode.d3.loss_dice: 0.8244, decode.d4.loss_cls: 0.3841, decode.d4.loss_mask: 0.5753, decode.d4.loss_dice: 0.8192, decode.d5.loss_cls: 0.3790, decode.d5.loss_mask: 0.5736, decode.d5.loss_dice: 0.8241, decode.d6.loss_cls: 0.3744, decode.d6.loss_mask: 0.5718, decode.d6.loss_dice: 0.8121, decode.d7.loss_cls: 0.3714, decode.d7.loss_mask: 0.5702, decode.d7.loss_dice: 0.8163, decode.d8.loss_cls: 0.3683, decode.d8.loss_mask: 0.5703, decode.d8.loss_dice: 0.8176, loss: 19.0770 2022-05-01 06:27:13,623 - mmseg - INFO - Iter [27050/80000] lr: 9.503e-07, eta: 1 day, 4:46:31, time: 1.911, data_time: 0.021, memory: 64716, decode.loss_cls: 0.3745, decode.loss_mask: 0.5646, decode.loss_dice: 0.8049, decode.d0.loss_cls: 1.4036, decode.d0.loss_mask: 0.6147, decode.d0.loss_dice: 0.9263, decode.d1.loss_cls: 0.4589, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.8644, decode.d2.loss_cls: 0.4030, decode.d2.loss_mask: 0.5736, decode.d2.loss_dice: 0.8346, decode.d3.loss_cls: 0.3913, decode.d3.loss_mask: 0.5676, decode.d3.loss_dice: 0.8211, decode.d4.loss_cls: 0.3839, decode.d4.loss_mask: 0.5672, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.3832, decode.d5.loss_mask: 0.5635, decode.d5.loss_dice: 0.8118, decode.d6.loss_cls: 0.3796, decode.d6.loss_mask: 0.5615, decode.d6.loss_dice: 0.8024, decode.d7.loss_cls: 0.3745, decode.d7.loss_mask: 0.5621, decode.d7.loss_dice: 0.8059, decode.d8.loss_cls: 0.3748, decode.d8.loss_mask: 0.5659, decode.d8.loss_dice: 0.8089, loss: 18.9497 2022-05-01 06:28:46,011 - mmseg - INFO - Iter [27100/80000] lr: 9.494e-07, eta: 1 day, 4:44:42, time: 1.846, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3784, decode.loss_mask: 0.5945, decode.loss_dice: 0.8383, decode.d0.loss_cls: 1.4116, decode.d0.loss_mask: 0.6402, decode.d0.loss_dice: 0.9650, decode.d1.loss_cls: 0.4707, decode.d1.loss_mask: 0.6208, decode.d1.loss_dice: 0.9189, decode.d2.loss_cls: 0.4252, decode.d2.loss_mask: 0.6121, decode.d2.loss_dice: 0.8678, decode.d3.loss_cls: 0.4096, decode.d3.loss_mask: 0.5969, decode.d3.loss_dice: 0.8565, decode.d4.loss_cls: 0.4077, decode.d4.loss_mask: 0.5943, decode.d4.loss_dice: 0.8459, decode.d5.loss_cls: 0.3922, decode.d5.loss_mask: 0.5945, decode.d5.loss_dice: 0.8450, decode.d6.loss_cls: 0.3865, decode.d6.loss_mask: 0.5912, decode.d6.loss_dice: 0.8351, decode.d7.loss_cls: 0.3879, decode.d7.loss_mask: 0.5914, decode.d7.loss_dice: 0.8393, decode.d8.loss_cls: 0.3840, decode.d8.loss_mask: 0.5915, decode.d8.loss_dice: 0.8431, loss: 19.7360 2022-05-01 06:30:17,903 - mmseg - INFO - Iter [27150/80000] lr: 9.485e-07, eta: 1 day, 4:42:53, time: 1.836, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3947, decode.loss_mask: 0.5479, decode.loss_dice: 0.8208, decode.d0.loss_cls: 1.4338, decode.d0.loss_mask: 0.6057, decode.d0.loss_dice: 0.9400, decode.d1.loss_cls: 0.4813, decode.d1.loss_mask: 0.5870, decode.d1.loss_dice: 0.9006, decode.d2.loss_cls: 0.4305, decode.d2.loss_mask: 0.5628, decode.d2.loss_dice: 0.8539, decode.d3.loss_cls: 0.4125, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.8373, decode.d4.loss_cls: 0.4001, decode.d4.loss_mask: 0.5527, decode.d4.loss_dice: 0.8367, decode.d5.loss_cls: 0.4017, decode.d5.loss_mask: 0.5509, decode.d5.loss_dice: 0.8284, decode.d6.loss_cls: 0.3984, decode.d6.loss_mask: 0.5460, decode.d6.loss_dice: 0.8245, decode.d7.loss_cls: 0.3960, decode.d7.loss_mask: 0.5482, decode.d7.loss_dice: 0.8237, decode.d8.loss_cls: 0.3974, decode.d8.loss_mask: 0.5484, decode.d8.loss_dice: 0.8234, loss: 19.2402 2022-05-01 06:31:50,588 - mmseg - INFO - Iter [27200/80000] lr: 9.476e-07, eta: 1 day, 4:41:05, time: 1.858, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3712, decode.loss_mask: 0.5907, decode.loss_dice: 0.8392, decode.d0.loss_cls: 1.4093, decode.d0.loss_mask: 0.6395, decode.d0.loss_dice: 0.9521, decode.d1.loss_cls: 0.4569, decode.d1.loss_mask: 0.6216, decode.d1.loss_dice: 0.9025, decode.d2.loss_cls: 0.4080, decode.d2.loss_mask: 0.6036, decode.d2.loss_dice: 0.8625, decode.d3.loss_cls: 0.3916, decode.d3.loss_mask: 0.5982, decode.d3.loss_dice: 0.8482, decode.d4.loss_cls: 0.3787, decode.d4.loss_mask: 0.5968, decode.d4.loss_dice: 0.8422, decode.d5.loss_cls: 0.3761, decode.d5.loss_mask: 0.5953, decode.d5.loss_dice: 0.8462, decode.d6.loss_cls: 0.3714, decode.d6.loss_mask: 0.5888, decode.d6.loss_dice: 0.8334, decode.d7.loss_cls: 0.3697, decode.d7.loss_mask: 0.5918, decode.d7.loss_dice: 0.8341, decode.d8.loss_cls: 0.3701, decode.d8.loss_mask: 0.5930, decode.d8.loss_dice: 0.8370, loss: 19.5194 2022-05-01 06:33:23,757 - mmseg - INFO - Iter [27250/80000] lr: 9.467e-07, eta: 1 day, 4:39:19, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3734, decode.loss_mask: 0.5664, decode.loss_dice: 0.8191, decode.d0.loss_cls: 1.4240, decode.d0.loss_mask: 0.6199, decode.d0.loss_dice: 0.9362, decode.d1.loss_cls: 0.4676, decode.d1.loss_mask: 0.5903, decode.d1.loss_dice: 0.8844, decode.d2.loss_cls: 0.4230, decode.d2.loss_mask: 0.5756, decode.d2.loss_dice: 0.8509, decode.d3.loss_cls: 0.4036, decode.d3.loss_mask: 0.5682, decode.d3.loss_dice: 0.8363, decode.d4.loss_cls: 0.3963, decode.d4.loss_mask: 0.5666, decode.d4.loss_dice: 0.8391, decode.d5.loss_cls: 0.3854, decode.d5.loss_mask: 0.5700, decode.d5.loss_dice: 0.8349, decode.d6.loss_cls: 0.3805, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8240, decode.d7.loss_cls: 0.3768, decode.d7.loss_mask: 0.5634, decode.d7.loss_dice: 0.8240, decode.d8.loss_cls: 0.3788, decode.d8.loss_mask: 0.5631, decode.d8.loss_dice: 0.8231, loss: 19.2319 2022-05-01 06:34:57,452 - mmseg - INFO - Iter [27300/80000] lr: 9.458e-07, eta: 1 day, 4:37:33, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3656, decode.loss_mask: 0.5730, decode.loss_dice: 0.8242, decode.d0.loss_cls: 1.4191, decode.d0.loss_mask: 0.6287, decode.d0.loss_dice: 0.9471, decode.d1.loss_cls: 0.4489, decode.d1.loss_mask: 0.5964, decode.d1.loss_dice: 0.8853, decode.d2.loss_cls: 0.4079, decode.d2.loss_mask: 0.5818, decode.d2.loss_dice: 0.8553, decode.d3.loss_cls: 0.3897, decode.d3.loss_mask: 0.5732, decode.d3.loss_dice: 0.8347, decode.d4.loss_cls: 0.3773, decode.d4.loss_mask: 0.5752, decode.d4.loss_dice: 0.8372, decode.d5.loss_cls: 0.3724, decode.d5.loss_mask: 0.5764, decode.d5.loss_dice: 0.8345, decode.d6.loss_cls: 0.3642, decode.d6.loss_mask: 0.5725, decode.d6.loss_dice: 0.8271, decode.d7.loss_cls: 0.3597, decode.d7.loss_mask: 0.5724, decode.d7.loss_dice: 0.8301, decode.d8.loss_cls: 0.3650, decode.d8.loss_mask: 0.5713, decode.d8.loss_dice: 0.8311, loss: 19.1971 2022-05-01 06:36:31,745 - mmseg - INFO - Iter [27350/80000] lr: 9.450e-07, eta: 1 day, 4:35:49, time: 1.885, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3762, decode.loss_mask: 0.5590, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.4346, decode.d0.loss_mask: 0.6004, decode.d0.loss_dice: 0.9136, decode.d1.loss_cls: 0.4684, decode.d1.loss_mask: 0.5779, decode.d1.loss_dice: 0.8685, decode.d2.loss_cls: 0.4187, decode.d2.loss_mask: 0.5657, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3962, decode.d3.loss_mask: 0.5632, decode.d3.loss_dice: 0.8163, decode.d4.loss_cls: 0.3900, decode.d4.loss_mask: 0.5630, decode.d4.loss_dice: 0.8150, decode.d5.loss_cls: 0.3874, decode.d5.loss_mask: 0.5603, decode.d5.loss_dice: 0.8166, decode.d6.loss_cls: 0.3761, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.8072, decode.d7.loss_cls: 0.3772, decode.d7.loss_mask: 0.5569, decode.d7.loss_dice: 0.8088, decode.d8.loss_cls: 0.3762, decode.d8.loss_mask: 0.5576, decode.d8.loss_dice: 0.8119, loss: 18.9682 2022-05-01 06:38:06,054 - mmseg - INFO - Iter [27400/80000] lr: 9.441e-07, eta: 1 day, 4:34:04, time: 1.886, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3932, decode.loss_mask: 0.5633, decode.loss_dice: 0.8184, decode.d0.loss_cls: 1.4346, decode.d0.loss_mask: 0.6101, decode.d0.loss_dice: 0.9361, decode.d1.loss_cls: 0.4834, decode.d1.loss_mask: 0.5933, decode.d1.loss_dice: 0.8772, decode.d2.loss_cls: 0.4382, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8490, decode.d3.loss_cls: 0.4102, decode.d3.loss_mask: 0.5680, decode.d3.loss_dice: 0.8306, decode.d4.loss_cls: 0.4008, decode.d4.loss_mask: 0.5676, decode.d4.loss_dice: 0.8345, decode.d5.loss_cls: 0.3966, decode.d5.loss_mask: 0.5653, decode.d5.loss_dice: 0.8299, decode.d6.loss_cls: 0.3942, decode.d6.loss_mask: 0.5609, decode.d6.loss_dice: 0.8212, decode.d7.loss_cls: 0.3952, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8224, decode.d8.loss_cls: 0.3868, decode.d8.loss_mask: 0.5629, decode.d8.loss_dice: 0.8190, loss: 19.2977 2022-05-01 06:39:41,949 - mmseg - INFO - Iter [27450/80000] lr: 9.432e-07, eta: 1 day, 4:32:23, time: 1.918, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3666, decode.loss_mask: 0.5854, decode.loss_dice: 0.8303, decode.d0.loss_cls: 1.4273, decode.d0.loss_mask: 0.6379, decode.d0.loss_dice: 0.9475, decode.d1.loss_cls: 0.4534, decode.d1.loss_mask: 0.6097, decode.d1.loss_dice: 0.8968, decode.d2.loss_cls: 0.4122, decode.d2.loss_mask: 0.5936, decode.d2.loss_dice: 0.8625, decode.d3.loss_cls: 0.3910, decode.d3.loss_mask: 0.5872, decode.d3.loss_dice: 0.8411, decode.d4.loss_cls: 0.3852, decode.d4.loss_mask: 0.5875, decode.d4.loss_dice: 0.8408, decode.d5.loss_cls: 0.3807, decode.d5.loss_mask: 0.5848, decode.d5.loss_dice: 0.8355, decode.d6.loss_cls: 0.3742, decode.d6.loss_mask: 0.5839, decode.d6.loss_dice: 0.8333, decode.d7.loss_cls: 0.3744, decode.d7.loss_mask: 0.5840, decode.d7.loss_dice: 0.8328, decode.d8.loss_cls: 0.3680, decode.d8.loss_mask: 0.5853, decode.d8.loss_dice: 0.8301, loss: 19.4227 2022-05-01 06:41:15,739 - mmseg - INFO - Iter [27500/80000] lr: 9.423e-07, eta: 1 day, 4:30:38, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3854, decode.loss_mask: 0.5496, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.4427, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.9485, decode.d1.loss_cls: 0.4771, decode.d1.loss_mask: 0.5737, decode.d1.loss_dice: 0.8904, decode.d2.loss_cls: 0.4348, decode.d2.loss_mask: 0.5604, decode.d2.loss_dice: 0.8560, decode.d3.loss_cls: 0.4137, decode.d3.loss_mask: 0.5516, decode.d3.loss_dice: 0.8307, decode.d4.loss_cls: 0.4034, decode.d4.loss_mask: 0.5529, decode.d4.loss_dice: 0.8310, decode.d5.loss_cls: 0.3927, decode.d5.loss_mask: 0.5492, decode.d5.loss_dice: 0.8308, decode.d6.loss_cls: 0.3881, decode.d6.loss_mask: 0.5482, decode.d6.loss_dice: 0.8231, decode.d7.loss_cls: 0.3869, decode.d7.loss_mask: 0.5488, decode.d7.loss_dice: 0.8260, decode.d8.loss_cls: 0.3904, decode.d8.loss_mask: 0.5489, decode.d8.loss_dice: 0.8240, loss: 19.1749 2022-05-01 06:42:49,251 - mmseg - INFO - Iter [27550/80000] lr: 9.414e-07, eta: 1 day, 4:28:52, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3687, decode.loss_mask: 0.5514, decode.loss_dice: 0.8083, decode.d0.loss_cls: 1.3951, decode.d0.loss_mask: 0.5991, decode.d0.loss_dice: 0.9283, decode.d1.loss_cls: 0.4574, decode.d1.loss_mask: 0.5748, decode.d1.loss_dice: 0.8789, decode.d2.loss_cls: 0.4072, decode.d2.loss_mask: 0.5595, decode.d2.loss_dice: 0.8359, decode.d3.loss_cls: 0.3875, decode.d3.loss_mask: 0.5534, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3771, decode.d4.loss_mask: 0.5531, decode.d4.loss_dice: 0.8208, decode.d5.loss_cls: 0.3742, decode.d5.loss_mask: 0.5539, decode.d5.loss_dice: 0.8155, decode.d6.loss_cls: 0.3722, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.8050, decode.d7.loss_cls: 0.3721, decode.d7.loss_mask: 0.5499, decode.d7.loss_dice: 0.8098, decode.d8.loss_cls: 0.3675, decode.d8.loss_mask: 0.5498, decode.d8.loss_dice: 0.8123, loss: 18.8069 2022-05-01 06:44:23,551 - mmseg - INFO - Iter [27600/80000] lr: 9.405e-07, eta: 1 day, 4:27:07, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3959, decode.loss_mask: 0.5613, decode.loss_dice: 0.8196, decode.d0.loss_cls: 1.4435, decode.d0.loss_mask: 0.6171, decode.d0.loss_dice: 0.9439, decode.d1.loss_cls: 0.4856, decode.d1.loss_mask: 0.5938, decode.d1.loss_dice: 0.8805, decode.d2.loss_cls: 0.4428, decode.d2.loss_mask: 0.5739, decode.d2.loss_dice: 0.8421, decode.d3.loss_cls: 0.4250, decode.d3.loss_mask: 0.5705, decode.d3.loss_dice: 0.8300, decode.d4.loss_cls: 0.4110, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8299, decode.d5.loss_cls: 0.4063, decode.d5.loss_mask: 0.5646, decode.d5.loss_dice: 0.8265, decode.d6.loss_cls: 0.3987, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8200, decode.d7.loss_cls: 0.3939, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8176, decode.d8.loss_cls: 0.3983, decode.d8.loss_mask: 0.5610, decode.d8.loss_dice: 0.8204, loss: 19.3718 2022-05-01 06:45:56,384 - mmseg - INFO - Iter [27650/80000] lr: 9.396e-07, eta: 1 day, 4:25:20, time: 1.856, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3776, decode.loss_mask: 0.5705, decode.loss_dice: 0.8175, decode.d0.loss_cls: 1.4270, decode.d0.loss_mask: 0.6207, decode.d0.loss_dice: 0.9428, decode.d1.loss_cls: 0.4660, decode.d1.loss_mask: 0.5997, decode.d1.loss_dice: 0.8843, decode.d2.loss_cls: 0.4184, decode.d2.loss_mask: 0.5838, decode.d2.loss_dice: 0.8428, decode.d3.loss_cls: 0.4027, decode.d3.loss_mask: 0.5801, decode.d3.loss_dice: 0.8294, decode.d4.loss_cls: 0.3870, decode.d4.loss_mask: 0.5796, decode.d4.loss_dice: 0.8230, decode.d5.loss_cls: 0.3873, decode.d5.loss_mask: 0.5750, decode.d5.loss_dice: 0.8267, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5727, decode.d6.loss_dice: 0.8107, decode.d7.loss_cls: 0.3782, decode.d7.loss_mask: 0.5719, decode.d7.loss_dice: 0.8110, decode.d8.loss_cls: 0.3826, decode.d8.loss_mask: 0.5705, decode.d8.loss_dice: 0.8132, loss: 19.2317 2022-05-01 06:47:29,553 - mmseg - INFO - Iter [27700/80000] lr: 9.387e-07, eta: 1 day, 4:23:34, time: 1.864, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3950, decode.loss_mask: 0.5664, decode.loss_dice: 0.8060, decode.d0.loss_cls: 1.4392, decode.d0.loss_mask: 0.6122, decode.d0.loss_dice: 0.9219, decode.d1.loss_cls: 0.4779, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.8703, decode.d2.loss_cls: 0.4286, decode.d2.loss_mask: 0.5810, decode.d2.loss_dice: 0.8430, decode.d3.loss_cls: 0.4132, decode.d3.loss_mask: 0.5756, decode.d3.loss_dice: 0.8202, decode.d4.loss_cls: 0.4057, decode.d4.loss_mask: 0.5707, decode.d4.loss_dice: 0.8157, decode.d5.loss_cls: 0.3983, decode.d5.loss_mask: 0.5694, decode.d5.loss_dice: 0.8145, decode.d6.loss_cls: 0.3964, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8036, decode.d7.loss_cls: 0.3982, decode.d7.loss_mask: 0.5628, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3963, decode.d8.loss_mask: 0.5656, decode.d8.loss_dice: 0.8045, loss: 19.2125 2022-05-01 06:49:02,534 - mmseg - INFO - Iter [27750/80000] lr: 9.378e-07, eta: 1 day, 4:21:47, time: 1.859, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3898, decode.loss_mask: 0.5768, decode.loss_dice: 0.8340, decode.d0.loss_cls: 1.4060, decode.d0.loss_mask: 0.6252, decode.d0.loss_dice: 0.9416, decode.d1.loss_cls: 0.4826, decode.d1.loss_mask: 0.6023, decode.d1.loss_dice: 0.8984, decode.d2.loss_cls: 0.4251, decode.d2.loss_mask: 0.5908, decode.d2.loss_dice: 0.8627, decode.d3.loss_cls: 0.4117, decode.d3.loss_mask: 0.5794, decode.d3.loss_dice: 0.8461, decode.d4.loss_cls: 0.4034, decode.d4.loss_mask: 0.5787, decode.d4.loss_dice: 0.8437, decode.d5.loss_cls: 0.3942, decode.d5.loss_mask: 0.5806, decode.d5.loss_dice: 0.8442, decode.d6.loss_cls: 0.3933, decode.d6.loss_mask: 0.5777, decode.d6.loss_dice: 0.8361, decode.d7.loss_cls: 0.3911, decode.d7.loss_mask: 0.5790, decode.d7.loss_dice: 0.8388, decode.d8.loss_cls: 0.3870, decode.d8.loss_mask: 0.5771, decode.d8.loss_dice: 0.8378, loss: 19.5354 2022-05-01 06:50:34,929 - mmseg - INFO - Iter [27800/80000] lr: 9.369e-07, eta: 1 day, 4:20:00, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3802, decode.loss_mask: 0.5804, decode.loss_dice: 0.8481, decode.d0.loss_cls: 1.4100, decode.d0.loss_mask: 0.6215, decode.d0.loss_dice: 0.9457, decode.d1.loss_cls: 0.4686, decode.d1.loss_mask: 0.6096, decode.d1.loss_dice: 0.9052, decode.d2.loss_cls: 0.4242, decode.d2.loss_mask: 0.5872, decode.d2.loss_dice: 0.8733, decode.d3.loss_cls: 0.4052, decode.d3.loss_mask: 0.5821, decode.d3.loss_dice: 0.8581, decode.d4.loss_cls: 0.3963, decode.d4.loss_mask: 0.5861, decode.d4.loss_dice: 0.8572, decode.d5.loss_cls: 0.3890, decode.d5.loss_mask: 0.5869, decode.d5.loss_dice: 0.8549, decode.d6.loss_cls: 0.3912, decode.d6.loss_mask: 0.5822, decode.d6.loss_dice: 0.8492, decode.d7.loss_cls: 0.3833, decode.d7.loss_mask: 0.5828, decode.d7.loss_dice: 0.8497, decode.d8.loss_cls: 0.3817, decode.d8.loss_mask: 0.5817, decode.d8.loss_dice: 0.8494, loss: 19.6209 2022-05-01 06:52:10,579 - mmseg - INFO - Iter [27850/80000] lr: 9.360e-07, eta: 1 day, 4:18:18, time: 1.912, data_time: 0.067, memory: 64716, decode.loss_cls: 0.3715, decode.loss_mask: 0.5660, decode.loss_dice: 0.8266, decode.d0.loss_cls: 1.4499, decode.d0.loss_mask: 0.6153, decode.d0.loss_dice: 0.9444, decode.d1.loss_cls: 0.4688, decode.d1.loss_mask: 0.5994, decode.d1.loss_dice: 0.8997, decode.d2.loss_cls: 0.4198, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8585, decode.d3.loss_cls: 0.4029, decode.d3.loss_mask: 0.5728, decode.d3.loss_dice: 0.8394, decode.d4.loss_cls: 0.3877, decode.d4.loss_mask: 0.5702, decode.d4.loss_dice: 0.8357, decode.d5.loss_cls: 0.3809, decode.d5.loss_mask: 0.5701, decode.d5.loss_dice: 0.8353, decode.d6.loss_cls: 0.3742, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8267, decode.d7.loss_cls: 0.3743, decode.d7.loss_mask: 0.5662, decode.d7.loss_dice: 0.8290, decode.d8.loss_cls: 0.3645, decode.d8.loss_mask: 0.5688, decode.d8.loss_dice: 0.8293, loss: 19.2927 2022-05-01 06:53:44,282 - mmseg - INFO - Iter [27900/80000] lr: 9.351e-07, eta: 1 day, 4:16:33, time: 1.875, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3708, decode.loss_mask: 0.5663, decode.loss_dice: 0.8091, decode.d0.loss_cls: 1.4168, decode.d0.loss_mask: 0.6117, decode.d0.loss_dice: 0.9199, decode.d1.loss_cls: 0.4502, decode.d1.loss_mask: 0.5940, decode.d1.loss_dice: 0.8686, decode.d2.loss_cls: 0.4127, decode.d2.loss_mask: 0.5766, decode.d2.loss_dice: 0.8401, decode.d3.loss_cls: 0.4001, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8219, decode.d4.loss_cls: 0.3904, decode.d4.loss_mask: 0.5719, decode.d4.loss_dice: 0.8148, decode.d5.loss_cls: 0.3802, decode.d5.loss_mask: 0.5719, decode.d5.loss_dice: 0.8198, decode.d6.loss_cls: 0.3785, decode.d6.loss_mask: 0.5678, decode.d6.loss_dice: 0.8105, decode.d7.loss_cls: 0.3748, decode.d7.loss_mask: 0.5673, decode.d7.loss_dice: 0.8108, decode.d8.loss_cls: 0.3674, decode.d8.loss_mask: 0.5674, decode.d8.loss_dice: 0.8079, loss: 19.0307 2022-05-01 06:55:19,261 - mmseg - INFO - Iter [27950/80000] lr: 9.342e-07, eta: 1 day, 4:14:50, time: 1.897, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3899, decode.loss_mask: 0.5588, decode.loss_dice: 0.8364, decode.d0.loss_cls: 1.4324, decode.d0.loss_mask: 0.6119, decode.d0.loss_dice: 0.9614, decode.d1.loss_cls: 0.4712, decode.d1.loss_mask: 0.5858, decode.d1.loss_dice: 0.9050, decode.d2.loss_cls: 0.4327, decode.d2.loss_mask: 0.5704, decode.d2.loss_dice: 0.8629, decode.d3.loss_cls: 0.4128, decode.d3.loss_mask: 0.5634, decode.d3.loss_dice: 0.8471, decode.d4.loss_cls: 0.4087, decode.d4.loss_mask: 0.5616, decode.d4.loss_dice: 0.8506, decode.d5.loss_cls: 0.4069, decode.d5.loss_mask: 0.5626, decode.d5.loss_dice: 0.8411, decode.d6.loss_cls: 0.4004, decode.d6.loss_mask: 0.5627, decode.d6.loss_dice: 0.8341, decode.d7.loss_cls: 0.3945, decode.d7.loss_mask: 0.5599, decode.d7.loss_dice: 0.8353, decode.d8.loss_cls: 0.3955, decode.d8.loss_mask: 0.5590, decode.d8.loss_dice: 0.8342, loss: 19.4493 2022-05-01 06:56:53,359 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-05-01 06:57:25,740 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 06:57:25,752 - mmseg - INFO - Iter [28000/80000] lr: 9.333e-07, eta: 1 day, 4:14:06, time: 2.528, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3679, decode.loss_mask: 0.5480, decode.loss_dice: 0.8127, decode.d0.loss_cls: 1.4304, decode.d0.loss_mask: 0.5895, decode.d0.loss_dice: 0.9224, decode.d1.loss_cls: 0.4587, decode.d1.loss_mask: 0.5699, decode.d1.loss_dice: 0.8775, decode.d2.loss_cls: 0.4103, decode.d2.loss_mask: 0.5596, decode.d2.loss_dice: 0.8380, decode.d3.loss_cls: 0.3962, decode.d3.loss_mask: 0.5544, decode.d3.loss_dice: 0.8211, decode.d4.loss_cls: 0.3867, decode.d4.loss_mask: 0.5522, decode.d4.loss_dice: 0.8205, decode.d5.loss_cls: 0.3764, decode.d5.loss_mask: 0.5523, decode.d5.loss_dice: 0.8170, decode.d6.loss_cls: 0.3669, decode.d6.loss_mask: 0.5452, decode.d6.loss_dice: 0.8081, decode.d7.loss_cls: 0.3665, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.8091, decode.d8.loss_cls: 0.3665, decode.d8.loss_mask: 0.5475, decode.d8.loss_dice: 0.8110, loss: 18.8288 2022-05-01 06:58:59,395 - mmseg - INFO - Iter [28050/80000] lr: 9.324e-07, eta: 1 day, 4:12:21, time: 1.876, data_time: 0.020, memory: 64716, decode.loss_cls: 0.3871, decode.loss_mask: 0.5639, decode.loss_dice: 0.8327, decode.d0.loss_cls: 1.3913, decode.d0.loss_mask: 0.6084, decode.d0.loss_dice: 0.9462, decode.d1.loss_cls: 0.4793, decode.d1.loss_mask: 0.5929, decode.d1.loss_dice: 0.8909, decode.d2.loss_cls: 0.4219, decode.d2.loss_mask: 0.5745, decode.d2.loss_dice: 0.8607, decode.d3.loss_cls: 0.4018, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8435, decode.d4.loss_cls: 0.3987, decode.d4.loss_mask: 0.5667, decode.d4.loss_dice: 0.8417, decode.d5.loss_cls: 0.3946, decode.d5.loss_mask: 0.5654, decode.d5.loss_dice: 0.8373, decode.d6.loss_cls: 0.3810, decode.d6.loss_mask: 0.5661, decode.d6.loss_dice: 0.8370, decode.d7.loss_cls: 0.3866, decode.d7.loss_mask: 0.5636, decode.d7.loss_dice: 0.8340, decode.d8.loss_cls: 0.3885, decode.d8.loss_mask: 0.5626, decode.d8.loss_dice: 0.8308, loss: 19.3202 2022-05-01 07:00:33,091 - mmseg - INFO - Iter [28100/80000] lr: 9.315e-07, eta: 1 day, 4:10:36, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3438, decode.loss_mask: 0.5699, decode.loss_dice: 0.8141, decode.d0.loss_cls: 1.3835, decode.d0.loss_mask: 0.6142, decode.d0.loss_dice: 0.9173, decode.d1.loss_cls: 0.4362, decode.d1.loss_mask: 0.5954, decode.d1.loss_dice: 0.8719, decode.d2.loss_cls: 0.3830, decode.d2.loss_mask: 0.5811, decode.d2.loss_dice: 0.8379, decode.d3.loss_cls: 0.3649, decode.d3.loss_mask: 0.5713, decode.d3.loss_dice: 0.8199, decode.d4.loss_cls: 0.3610, decode.d4.loss_mask: 0.5718, decode.d4.loss_dice: 0.8176, decode.d5.loss_cls: 0.3571, decode.d5.loss_mask: 0.5702, decode.d5.loss_dice: 0.8120, decode.d6.loss_cls: 0.3487, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8076, decode.d7.loss_cls: 0.3495, decode.d7.loss_mask: 0.5703, decode.d7.loss_dice: 0.8108, decode.d8.loss_cls: 0.3457, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.8132, loss: 18.7835 2022-05-01 07:02:07,260 - mmseg - INFO - Iter [28150/80000] lr: 9.306e-07, eta: 1 day, 4:08:51, time: 1.884, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3539, decode.loss_mask: 0.5831, decode.loss_dice: 0.7982, decode.d0.loss_cls: 1.4117, decode.d0.loss_mask: 0.6263, decode.d0.loss_dice: 0.9056, decode.d1.loss_cls: 0.4459, decode.d1.loss_mask: 0.6071, decode.d1.loss_dice: 0.8547, decode.d2.loss_cls: 0.3913, decode.d2.loss_mask: 0.5907, decode.d2.loss_dice: 0.8284, decode.d3.loss_cls: 0.3838, decode.d3.loss_mask: 0.5830, decode.d3.loss_dice: 0.8066, decode.d4.loss_cls: 0.3716, decode.d4.loss_mask: 0.5834, decode.d4.loss_dice: 0.8057, decode.d5.loss_cls: 0.3681, decode.d5.loss_mask: 0.5797, decode.d5.loss_dice: 0.8034, decode.d6.loss_cls: 0.3603, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.7963, decode.d7.loss_cls: 0.3621, decode.d7.loss_mask: 0.5781, decode.d7.loss_dice: 0.7989, decode.d8.loss_cls: 0.3543, decode.d8.loss_mask: 0.5782, decode.d8.loss_dice: 0.7988, loss: 18.8869 2022-05-01 07:03:38,617 - mmseg - INFO - Iter [28200/80000] lr: 9.297e-07, eta: 1 day, 4:07:02, time: 1.826, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3712, decode.loss_mask: 0.5397, decode.loss_dice: 0.8066, decode.d0.loss_cls: 1.3805, decode.d0.loss_mask: 0.5826, decode.d0.loss_dice: 0.9311, decode.d1.loss_cls: 0.4663, decode.d1.loss_mask: 0.5650, decode.d1.loss_dice: 0.8706, decode.d2.loss_cls: 0.4180, decode.d2.loss_mask: 0.5481, decode.d2.loss_dice: 0.8353, decode.d3.loss_cls: 0.3932, decode.d3.loss_mask: 0.5452, decode.d3.loss_dice: 0.8204, decode.d4.loss_cls: 0.3921, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.8159, decode.d5.loss_cls: 0.3844, decode.d5.loss_mask: 0.5422, decode.d5.loss_dice: 0.8158, decode.d6.loss_cls: 0.3772, decode.d6.loss_mask: 0.5390, decode.d6.loss_dice: 0.8071, decode.d7.loss_cls: 0.3743, decode.d7.loss_mask: 0.5398, decode.d7.loss_dice: 0.8082, decode.d8.loss_cls: 0.3733, decode.d8.loss_mask: 0.5397, decode.d8.loss_dice: 0.8065, loss: 18.7347 2022-05-01 07:05:12,571 - mmseg - INFO - Iter [28250/80000] lr: 9.288e-07, eta: 1 day, 4:05:17, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3815, decode.loss_mask: 0.5890, decode.loss_dice: 0.8323, decode.d0.loss_cls: 1.3995, decode.d0.loss_mask: 0.6459, decode.d0.loss_dice: 0.9506, decode.d1.loss_cls: 0.4739, decode.d1.loss_mask: 0.6170, decode.d1.loss_dice: 0.8974, decode.d2.loss_cls: 0.4197, decode.d2.loss_mask: 0.6029, decode.d2.loss_dice: 0.8624, decode.d3.loss_cls: 0.4019, decode.d3.loss_mask: 0.5987, decode.d3.loss_dice: 0.8522, decode.d4.loss_cls: 0.3958, decode.d4.loss_mask: 0.5968, decode.d4.loss_dice: 0.8481, decode.d5.loss_cls: 0.3900, decode.d5.loss_mask: 0.5930, decode.d5.loss_dice: 0.8473, decode.d6.loss_cls: 0.3842, decode.d6.loss_mask: 0.5912, decode.d6.loss_dice: 0.8294, decode.d7.loss_cls: 0.3808, decode.d7.loss_mask: 0.5907, decode.d7.loss_dice: 0.8348, decode.d8.loss_cls: 0.3819, decode.d8.loss_mask: 0.5891, decode.d8.loss_dice: 0.8343, loss: 19.6120 2022-05-01 07:06:46,438 - mmseg - INFO - Iter [28300/80000] lr: 9.279e-07, eta: 1 day, 4:03:33, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3727, decode.loss_mask: 0.5649, decode.loss_dice: 0.8252, decode.d0.loss_cls: 1.3953, decode.d0.loss_mask: 0.6078, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4696, decode.d1.loss_mask: 0.5850, decode.d1.loss_dice: 0.8740, decode.d2.loss_cls: 0.4205, decode.d2.loss_mask: 0.5684, decode.d2.loss_dice: 0.8430, decode.d3.loss_cls: 0.4007, decode.d3.loss_mask: 0.5662, decode.d3.loss_dice: 0.8283, decode.d4.loss_cls: 0.3943, decode.d4.loss_mask: 0.5669, decode.d4.loss_dice: 0.8268, decode.d5.loss_cls: 0.3855, decode.d5.loss_mask: 0.5640, decode.d5.loss_dice: 0.8337, decode.d6.loss_cls: 0.3766, decode.d6.loss_mask: 0.5636, decode.d6.loss_dice: 0.8280, decode.d7.loss_cls: 0.3749, decode.d7.loss_mask: 0.5619, decode.d7.loss_dice: 0.8183, decode.d8.loss_cls: 0.3756, decode.d8.loss_mask: 0.5641, decode.d8.loss_dice: 0.8266, loss: 19.1072 2022-05-01 07:08:20,816 - mmseg - INFO - Iter [28350/80000] lr: 9.270e-07, eta: 1 day, 4:01:49, time: 1.887, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3526, decode.loss_mask: 0.5644, decode.loss_dice: 0.8134, decode.d0.loss_cls: 1.3814, decode.d0.loss_mask: 0.6042, decode.d0.loss_dice: 0.9246, decode.d1.loss_cls: 0.4354, decode.d1.loss_mask: 0.5944, decode.d1.loss_dice: 0.8769, decode.d2.loss_cls: 0.3893, decode.d2.loss_mask: 0.5789, decode.d2.loss_dice: 0.8474, decode.d3.loss_cls: 0.3729, decode.d3.loss_mask: 0.5713, decode.d3.loss_dice: 0.8253, decode.d4.loss_cls: 0.3705, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8229, decode.d5.loss_cls: 0.3646, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8235, decode.d6.loss_cls: 0.3568, decode.d6.loss_mask: 0.5624, decode.d6.loss_dice: 0.8135, decode.d7.loss_cls: 0.3523, decode.d7.loss_mask: 0.5622, decode.d7.loss_dice: 0.8136, decode.d8.loss_cls: 0.3526, decode.d8.loss_mask: 0.5619, decode.d8.loss_dice: 0.8120, loss: 18.8372 2022-05-01 07:09:54,911 - mmseg - INFO - Iter [28400/80000] lr: 9.261e-07, eta: 1 day, 4:00:05, time: 1.883, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3716, decode.loss_mask: 0.5620, decode.loss_dice: 0.8290, decode.d0.loss_cls: 1.4021, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9445, decode.d1.loss_cls: 0.4592, decode.d1.loss_mask: 0.5855, decode.d1.loss_dice: 0.9035, decode.d2.loss_cls: 0.4132, decode.d2.loss_mask: 0.5710, decode.d2.loss_dice: 0.8599, decode.d3.loss_cls: 0.3973, decode.d3.loss_mask: 0.5654, decode.d3.loss_dice: 0.8398, decode.d4.loss_cls: 0.3975, decode.d4.loss_mask: 0.5637, decode.d4.loss_dice: 0.8419, decode.d5.loss_cls: 0.3849, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8368, decode.d6.loss_cls: 0.3781, decode.d6.loss_mask: 0.5624, decode.d6.loss_dice: 0.8293, decode.d7.loss_cls: 0.3712, decode.d7.loss_mask: 0.5656, decode.d7.loss_dice: 0.8304, decode.d8.loss_cls: 0.3731, decode.d8.loss_mask: 0.5617, decode.d8.loss_dice: 0.8309, loss: 19.2015 2022-05-01 07:11:28,311 - mmseg - INFO - Iter [28450/80000] lr: 9.252e-07, eta: 1 day, 3:58:19, time: 1.868, data_time: 0.015, memory: 64716, decode.loss_cls: 0.4025, decode.loss_mask: 0.5726, decode.loss_dice: 0.8401, decode.d0.loss_cls: 1.4729, decode.d0.loss_mask: 0.6236, decode.d0.loss_dice: 0.9552, decode.d1.loss_cls: 0.4958, decode.d1.loss_mask: 0.5990, decode.d1.loss_dice: 0.9020, decode.d2.loss_cls: 0.4494, decode.d2.loss_mask: 0.5878, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.4258, decode.d3.loss_mask: 0.5804, decode.d3.loss_dice: 0.8538, decode.d4.loss_cls: 0.4171, decode.d4.loss_mask: 0.5803, decode.d4.loss_dice: 0.8528, decode.d5.loss_cls: 0.4157, decode.d5.loss_mask: 0.5764, decode.d5.loss_dice: 0.8441, decode.d6.loss_cls: 0.4073, decode.d6.loss_mask: 0.5694, decode.d6.loss_dice: 0.8383, decode.d7.loss_cls: 0.4089, decode.d7.loss_mask: 0.5706, decode.d7.loss_dice: 0.8400, decode.d8.loss_cls: 0.4086, decode.d8.loss_mask: 0.5706, decode.d8.loss_dice: 0.8374, loss: 19.7747 2022-05-01 07:13:00,465 - mmseg - INFO - Iter [28500/80000] lr: 9.243e-07, eta: 1 day, 3:56:32, time: 1.843, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3673, decode.loss_mask: 0.5720, decode.loss_dice: 0.8319, decode.d0.loss_cls: 1.4029, decode.d0.loss_mask: 0.6113, decode.d0.loss_dice: 0.9356, decode.d1.loss_cls: 0.4605, decode.d1.loss_mask: 0.5900, decode.d1.loss_dice: 0.8896, decode.d2.loss_cls: 0.3945, decode.d2.loss_mask: 0.5821, decode.d2.loss_dice: 0.8650, decode.d3.loss_cls: 0.3860, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8391, decode.d4.loss_cls: 0.3758, decode.d4.loss_mask: 0.5781, decode.d4.loss_dice: 0.8459, decode.d5.loss_cls: 0.3706, decode.d5.loss_mask: 0.5709, decode.d5.loss_dice: 0.8399, decode.d6.loss_cls: 0.3698, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8306, decode.d7.loss_cls: 0.3619, decode.d7.loss_mask: 0.5734, decode.d7.loss_dice: 0.8339, decode.d8.loss_cls: 0.3666, decode.d8.loss_mask: 0.5716, decode.d8.loss_dice: 0.8331, loss: 19.1981 2022-05-01 07:14:34,219 - mmseg - INFO - Iter [28550/80000] lr: 9.234e-07, eta: 1 day, 3:54:47, time: 1.876, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3888, decode.loss_mask: 0.5580, decode.loss_dice: 0.8113, decode.d0.loss_cls: 1.4283, decode.d0.loss_mask: 0.6051, decode.d0.loss_dice: 0.9173, decode.d1.loss_cls: 0.4734, decode.d1.loss_mask: 0.5849, decode.d1.loss_dice: 0.8718, decode.d2.loss_cls: 0.4274, decode.d2.loss_mask: 0.5687, decode.d2.loss_dice: 0.8447, decode.d3.loss_cls: 0.4064, decode.d3.loss_mask: 0.5618, decode.d3.loss_dice: 0.8278, decode.d4.loss_cls: 0.4009, decode.d4.loss_mask: 0.5604, decode.d4.loss_dice: 0.8297, decode.d5.loss_cls: 0.3944, decode.d5.loss_mask: 0.5596, decode.d5.loss_dice: 0.8212, decode.d6.loss_cls: 0.3880, decode.d6.loss_mask: 0.5573, decode.d6.loss_dice: 0.8162, decode.d7.loss_cls: 0.3865, decode.d7.loss_mask: 0.5569, decode.d7.loss_dice: 0.8151, decode.d8.loss_cls: 0.3866, decode.d8.loss_mask: 0.5580, decode.d8.loss_dice: 0.8098, loss: 19.1165 2022-05-01 07:16:06,474 - mmseg - INFO - Iter [28600/80000] lr: 9.225e-07, eta: 1 day, 3:52:59, time: 1.844, data_time: 0.013, memory: 64716, decode.loss_cls: 0.3720, decode.loss_mask: 0.5549, decode.loss_dice: 0.8183, decode.d0.loss_cls: 1.3874, decode.d0.loss_mask: 0.6014, decode.d0.loss_dice: 0.9438, decode.d1.loss_cls: 0.4664, decode.d1.loss_mask: 0.5831, decode.d1.loss_dice: 0.8914, decode.d2.loss_cls: 0.4154, decode.d2.loss_mask: 0.5685, decode.d2.loss_dice: 0.8549, decode.d3.loss_cls: 0.3928, decode.d3.loss_mask: 0.5596, decode.d3.loss_dice: 0.8316, decode.d4.loss_cls: 0.3849, decode.d4.loss_mask: 0.5598, decode.d4.loss_dice: 0.8260, decode.d5.loss_cls: 0.3815, decode.d5.loss_mask: 0.5569, decode.d5.loss_dice: 0.8278, decode.d6.loss_cls: 0.3737, decode.d6.loss_mask: 0.5562, decode.d6.loss_dice: 0.8164, decode.d7.loss_cls: 0.3697, decode.d7.loss_mask: 0.5556, decode.d7.loss_dice: 0.8208, decode.d8.loss_cls: 0.3714, decode.d8.loss_mask: 0.5550, decode.d8.loss_dice: 0.8188, loss: 19.0161 2022-05-01 07:17:38,621 - mmseg - INFO - Iter [28650/80000] lr: 9.216e-07, eta: 1 day, 3:51:12, time: 1.843, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3668, decode.loss_mask: 0.5441, decode.loss_dice: 0.7995, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.5945, decode.d0.loss_dice: 0.9133, decode.d1.loss_cls: 0.4549, decode.d1.loss_mask: 0.5735, decode.d1.loss_dice: 0.8609, decode.d2.loss_cls: 0.4025, decode.d2.loss_mask: 0.5576, decode.d2.loss_dice: 0.8297, decode.d3.loss_cls: 0.3863, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8083, decode.d4.loss_cls: 0.3815, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.8070, decode.d5.loss_cls: 0.3762, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.8030, decode.d6.loss_cls: 0.3670, decode.d6.loss_mask: 0.5422, decode.d6.loss_dice: 0.8001, decode.d7.loss_cls: 0.3649, decode.d7.loss_mask: 0.5427, decode.d7.loss_dice: 0.8045, decode.d8.loss_cls: 0.3682, decode.d8.loss_mask: 0.5416, decode.d8.loss_dice: 0.7981, loss: 18.6238 2022-05-01 07:19:11,125 - mmseg - INFO - Iter [28700/80000] lr: 9.207e-07, eta: 1 day, 3:49:25, time: 1.849, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3514, decode.loss_mask: 0.5633, decode.loss_dice: 0.8270, decode.d0.loss_cls: 1.3733, decode.d0.loss_mask: 0.6120, decode.d0.loss_dice: 0.9354, decode.d1.loss_cls: 0.4415, decode.d1.loss_mask: 0.5883, decode.d1.loss_dice: 0.8873, decode.d2.loss_cls: 0.3949, decode.d2.loss_mask: 0.5776, decode.d2.loss_dice: 0.8563, decode.d3.loss_cls: 0.3808, decode.d3.loss_mask: 0.5685, decode.d3.loss_dice: 0.8405, decode.d4.loss_cls: 0.3692, decode.d4.loss_mask: 0.5678, decode.d4.loss_dice: 0.8402, decode.d5.loss_cls: 0.3586, decode.d5.loss_mask: 0.5662, decode.d5.loss_dice: 0.8333, decode.d6.loss_cls: 0.3588, decode.d6.loss_mask: 0.5622, decode.d6.loss_dice: 0.8216, decode.d7.loss_cls: 0.3535, decode.d7.loss_mask: 0.5624, decode.d7.loss_dice: 0.8297, decode.d8.loss_cls: 0.3536, decode.d8.loss_mask: 0.5630, decode.d8.loss_dice: 0.8308, loss: 18.9690 2022-05-01 07:20:44,036 - mmseg - INFO - Iter [28750/80000] lr: 9.198e-07, eta: 1 day, 3:47:39, time: 1.860, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3562, decode.loss_mask: 0.5593, decode.loss_dice: 0.8312, decode.d0.loss_cls: 1.3978, decode.d0.loss_mask: 0.6003, decode.d0.loss_dice: 0.9349, decode.d1.loss_cls: 0.4560, decode.d1.loss_mask: 0.5858, decode.d1.loss_dice: 0.8798, decode.d2.loss_cls: 0.4034, decode.d2.loss_mask: 0.5699, decode.d2.loss_dice: 0.8542, decode.d3.loss_cls: 0.3814, decode.d3.loss_mask: 0.5640, decode.d3.loss_dice: 0.8436, decode.d4.loss_cls: 0.3708, decode.d4.loss_mask: 0.5641, decode.d4.loss_dice: 0.8398, decode.d5.loss_cls: 0.3713, decode.d5.loss_mask: 0.5606, decode.d5.loss_dice: 0.8413, decode.d6.loss_cls: 0.3619, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8302, decode.d7.loss_cls: 0.3636, decode.d7.loss_mask: 0.5576, decode.d7.loss_dice: 0.8292, decode.d8.loss_cls: 0.3627, decode.d8.loss_mask: 0.5575, decode.d8.loss_dice: 0.8257, loss: 19.0113 2022-05-01 07:22:16,192 - mmseg - INFO - Iter [28800/80000] lr: 9.189e-07, eta: 1 day, 3:45:52, time: 1.843, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3302, decode.loss_mask: 0.5601, decode.loss_dice: 0.7954, decode.d0.loss_cls: 1.3341, decode.d0.loss_mask: 0.6160, decode.d0.loss_dice: 0.9140, decode.d1.loss_cls: 0.4089, decode.d1.loss_mask: 0.5958, decode.d1.loss_dice: 0.8567, decode.d2.loss_cls: 0.3661, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8243, decode.d3.loss_cls: 0.3506, decode.d3.loss_mask: 0.5673, decode.d3.loss_dice: 0.8052, decode.d4.loss_cls: 0.3403, decode.d4.loss_mask: 0.5653, decode.d4.loss_dice: 0.8068, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8026, decode.d6.loss_cls: 0.3320, decode.d6.loss_mask: 0.5637, decode.d6.loss_dice: 0.7949, decode.d7.loss_cls: 0.3299, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.7979, decode.d8.loss_cls: 0.3262, decode.d8.loss_mask: 0.5620, decode.d8.loss_dice: 0.7972, loss: 18.3849 2022-05-01 07:23:50,608 - mmseg - INFO - Iter [28850/80000] lr: 9.180e-07, eta: 1 day, 3:44:08, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3497, decode.loss_mask: 0.5717, decode.loss_dice: 0.8021, decode.d0.loss_cls: 1.3438, decode.d0.loss_mask: 0.6212, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4300, decode.d1.loss_mask: 0.6030, decode.d1.loss_dice: 0.8705, decode.d2.loss_cls: 0.3787, decode.d2.loss_mask: 0.5887, decode.d2.loss_dice: 0.8365, decode.d3.loss_cls: 0.3679, decode.d3.loss_mask: 0.5812, decode.d3.loss_dice: 0.8153, decode.d4.loss_cls: 0.3591, decode.d4.loss_mask: 0.5789, decode.d4.loss_dice: 0.8202, decode.d5.loss_cls: 0.3526, decode.d5.loss_mask: 0.5776, decode.d5.loss_dice: 0.8181, decode.d6.loss_cls: 0.3488, decode.d6.loss_mask: 0.5719, decode.d6.loss_dice: 0.8040, decode.d7.loss_cls: 0.3577, decode.d7.loss_mask: 0.5696, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3550, decode.d8.loss_mask: 0.5708, decode.d8.loss_dice: 0.8083, loss: 18.7741 2022-05-01 07:25:24,073 - mmseg - INFO - Iter [28900/80000] lr: 9.171e-07, eta: 1 day, 3:42:24, time: 1.870, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3597, decode.loss_mask: 0.5729, decode.loss_dice: 0.8123, decode.d0.loss_cls: 1.3894, decode.d0.loss_mask: 0.6243, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4415, decode.d1.loss_mask: 0.5989, decode.d1.loss_dice: 0.8742, decode.d2.loss_cls: 0.3882, decode.d2.loss_mask: 0.5892, decode.d2.loss_dice: 0.8426, decode.d3.loss_cls: 0.3789, decode.d3.loss_mask: 0.5808, decode.d3.loss_dice: 0.8309, decode.d4.loss_cls: 0.3766, decode.d4.loss_mask: 0.5759, decode.d4.loss_dice: 0.8284, decode.d5.loss_cls: 0.3708, decode.d5.loss_mask: 0.5750, decode.d5.loss_dice: 0.8249, decode.d6.loss_cls: 0.3623, decode.d6.loss_mask: 0.5749, decode.d6.loss_dice: 0.8140, decode.d7.loss_cls: 0.3561, decode.d7.loss_mask: 0.5724, decode.d7.loss_dice: 0.8149, decode.d8.loss_cls: 0.3650, decode.d8.loss_mask: 0.5723, decode.d8.loss_dice: 0.8146, loss: 19.0007 2022-05-01 07:26:58,478 - mmseg - INFO - Iter [28950/80000] lr: 9.162e-07, eta: 1 day, 3:40:40, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3654, decode.loss_mask: 0.5696, decode.loss_dice: 0.8287, decode.d0.loss_cls: 1.3897, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9310, decode.d1.loss_cls: 0.4361, decode.d1.loss_mask: 0.5949, decode.d1.loss_dice: 0.8832, decode.d2.loss_cls: 0.4010, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8476, decode.d3.loss_cls: 0.3922, decode.d3.loss_mask: 0.5709, decode.d3.loss_dice: 0.8280, decode.d4.loss_cls: 0.3765, decode.d4.loss_mask: 0.5705, decode.d4.loss_dice: 0.8345, decode.d5.loss_cls: 0.3773, decode.d5.loss_mask: 0.5718, decode.d5.loss_dice: 0.8302, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.5652, decode.d6.loss_dice: 0.8208, decode.d7.loss_cls: 0.3656, decode.d7.loss_mask: 0.5682, decode.d7.loss_dice: 0.8269, decode.d8.loss_cls: 0.3683, decode.d8.loss_mask: 0.5680, decode.d8.loss_dice: 0.8241, loss: 19.0756 2022-05-01 07:28:33,320 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-05-01 07:28:51,949 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 07:28:51,970 - mmseg - INFO - Iter [29000/80000] lr: 9.153e-07, eta: 1 day, 3:39:31, time: 2.270, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3832, decode.loss_mask: 0.5705, decode.loss_dice: 0.8078, decode.d0.loss_cls: 1.3844, decode.d0.loss_mask: 0.6237, decode.d0.loss_dice: 0.9283, decode.d1.loss_cls: 0.4748, decode.d1.loss_mask: 0.5929, decode.d1.loss_dice: 0.8660, decode.d2.loss_cls: 0.4224, decode.d2.loss_mask: 0.5856, decode.d2.loss_dice: 0.8340, decode.d3.loss_cls: 0.4001, decode.d3.loss_mask: 0.5762, decode.d3.loss_dice: 0.8227, decode.d4.loss_cls: 0.3964, decode.d4.loss_mask: 0.5768, decode.d4.loss_dice: 0.8173, decode.d5.loss_cls: 0.3926, decode.d5.loss_mask: 0.5765, decode.d5.loss_dice: 0.8177, decode.d6.loss_cls: 0.3898, decode.d6.loss_mask: 0.5719, decode.d6.loss_dice: 0.8094, decode.d7.loss_cls: 0.3785, decode.d7.loss_mask: 0.5737, decode.d7.loss_dice: 0.8136, decode.d8.loss_cls: 0.3833, decode.d8.loss_mask: 0.5734, decode.d8.loss_dice: 0.8030, loss: 19.1464 2022-05-01 07:30:26,366 - mmseg - INFO - Iter [29050/80000] lr: 9.144e-07, eta: 1 day, 3:37:47, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3901, decode.loss_mask: 0.5598, decode.loss_dice: 0.8350, decode.d0.loss_cls: 1.4161, decode.d0.loss_mask: 0.6039, decode.d0.loss_dice: 0.9634, decode.d1.loss_cls: 0.4721, decode.d1.loss_mask: 0.5843, decode.d1.loss_dice: 0.9002, decode.d2.loss_cls: 0.4306, decode.d2.loss_mask: 0.5717, decode.d2.loss_dice: 0.8675, decode.d3.loss_cls: 0.4143, decode.d3.loss_mask: 0.5660, decode.d3.loss_dice: 0.8474, decode.d4.loss_cls: 0.4068, decode.d4.loss_mask: 0.5616, decode.d4.loss_dice: 0.8464, decode.d5.loss_cls: 0.3956, decode.d5.loss_mask: 0.5619, decode.d5.loss_dice: 0.8480, decode.d6.loss_cls: 0.3945, decode.d6.loss_mask: 0.5614, decode.d6.loss_dice: 0.8382, decode.d7.loss_cls: 0.3900, decode.d7.loss_mask: 0.5620, decode.d7.loss_dice: 0.8391, decode.d8.loss_cls: 0.3864, decode.d8.loss_mask: 0.5587, decode.d8.loss_dice: 0.8369, loss: 19.4098 2022-05-01 07:32:01,850 - mmseg - INFO - Iter [29100/80000] lr: 9.135e-07, eta: 1 day, 3:36:06, time: 1.909, data_time: 0.064, memory: 64716, decode.loss_cls: 0.3687, decode.loss_mask: 0.5607, decode.loss_dice: 0.8043, decode.d0.loss_cls: 1.4242, decode.d0.loss_mask: 0.6143, decode.d0.loss_dice: 0.9343, decode.d1.loss_cls: 0.4637, decode.d1.loss_mask: 0.5949, decode.d1.loss_dice: 0.8731, decode.d2.loss_cls: 0.4184, decode.d2.loss_mask: 0.5808, decode.d2.loss_dice: 0.8382, decode.d3.loss_cls: 0.3953, decode.d3.loss_mask: 0.5708, decode.d3.loss_dice: 0.8105, decode.d4.loss_cls: 0.3824, decode.d4.loss_mask: 0.5685, decode.d4.loss_dice: 0.8175, decode.d5.loss_cls: 0.3818, decode.d5.loss_mask: 0.5660, decode.d5.loss_dice: 0.8099, decode.d6.loss_cls: 0.3722, decode.d6.loss_mask: 0.5619, decode.d6.loss_dice: 0.8000, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5606, decode.d7.loss_dice: 0.8070, decode.d8.loss_cls: 0.3643, decode.d8.loss_mask: 0.5617, decode.d8.loss_dice: 0.8053, loss: 18.9817 2022-05-01 07:33:35,590 - mmseg - INFO - Iter [29150/80000] lr: 9.126e-07, eta: 1 day, 3:34:22, time: 1.874, data_time: 0.020, memory: 64716, decode.loss_cls: 0.3395, decode.loss_mask: 0.5712, decode.loss_dice: 0.8155, decode.d0.loss_cls: 1.3620, decode.d0.loss_mask: 0.6234, decode.d0.loss_dice: 0.9166, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5994, decode.d1.loss_dice: 0.8708, decode.d2.loss_cls: 0.3770, decode.d2.loss_mask: 0.5827, decode.d2.loss_dice: 0.8415, decode.d3.loss_cls: 0.3652, decode.d3.loss_mask: 0.5767, decode.d3.loss_dice: 0.8291, decode.d4.loss_cls: 0.3559, decode.d4.loss_mask: 0.5761, decode.d4.loss_dice: 0.8237, decode.d5.loss_cls: 0.3564, decode.d5.loss_mask: 0.5726, decode.d5.loss_dice: 0.8216, decode.d6.loss_cls: 0.3424, decode.d6.loss_mask: 0.5670, decode.d6.loss_dice: 0.8143, decode.d7.loss_cls: 0.3444, decode.d7.loss_mask: 0.5669, decode.d7.loss_dice: 0.8148, decode.d8.loss_cls: 0.3453, decode.d8.loss_mask: 0.5693, decode.d8.loss_dice: 0.8122, loss: 18.7777 2022-05-01 07:35:09,112 - mmseg - INFO - Iter [29200/80000] lr: 9.117e-07, eta: 1 day, 3:32:37, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3695, decode.loss_mask: 0.5298, decode.loss_dice: 0.7976, decode.d0.loss_cls: 1.3729, decode.d0.loss_mask: 0.5759, decode.d0.loss_dice: 0.9166, decode.d1.loss_cls: 0.4550, decode.d1.loss_mask: 0.5553, decode.d1.loss_dice: 0.8606, decode.d2.loss_cls: 0.4082, decode.d2.loss_mask: 0.5421, decode.d2.loss_dice: 0.8342, decode.d3.loss_cls: 0.3934, decode.d3.loss_mask: 0.5372, decode.d3.loss_dice: 0.8152, decode.d4.loss_cls: 0.3866, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.8119, decode.d5.loss_cls: 0.3813, decode.d5.loss_mask: 0.5281, decode.d5.loss_dice: 0.8094, decode.d6.loss_cls: 0.3748, decode.d6.loss_mask: 0.5298, decode.d6.loss_dice: 0.8032, decode.d7.loss_cls: 0.3792, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7981, decode.d8.loss_cls: 0.3693, decode.d8.loss_mask: 0.5265, decode.d8.loss_dice: 0.7951, loss: 18.5145 2022-05-01 07:36:43,135 - mmseg - INFO - Iter [29250/80000] lr: 9.109e-07, eta: 1 day, 3:30:53, time: 1.880, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3498, decode.loss_mask: 0.5662, decode.loss_dice: 0.8288, decode.d0.loss_cls: 1.3780, decode.d0.loss_mask: 0.6187, decode.d0.loss_dice: 0.9354, decode.d1.loss_cls: 0.4444, decode.d1.loss_mask: 0.5922, decode.d1.loss_dice: 0.8880, decode.d2.loss_cls: 0.3863, decode.d2.loss_mask: 0.5813, decode.d2.loss_dice: 0.8634, decode.d3.loss_cls: 0.3732, decode.d3.loss_mask: 0.5731, decode.d3.loss_dice: 0.8371, decode.d4.loss_cls: 0.3613, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8406, decode.d5.loss_cls: 0.3596, decode.d5.loss_mask: 0.5699, decode.d5.loss_dice: 0.8355, decode.d6.loss_cls: 0.3505, decode.d6.loss_mask: 0.5674, decode.d6.loss_dice: 0.8336, decode.d7.loss_cls: 0.3500, decode.d7.loss_mask: 0.5668, decode.d7.loss_dice: 0.8332, decode.d8.loss_cls: 0.3512, decode.d8.loss_mask: 0.5663, decode.d8.loss_dice: 0.8308, loss: 19.0067 2022-05-01 07:38:17,635 - mmseg - INFO - Iter [29300/80000] lr: 9.100e-07, eta: 1 day, 3:29:10, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3471, decode.loss_mask: 0.5471, decode.loss_dice: 0.8096, decode.d0.loss_cls: 1.3818, decode.d0.loss_mask: 0.5911, decode.d0.loss_dice: 0.9201, decode.d1.loss_cls: 0.4360, decode.d1.loss_mask: 0.5703, decode.d1.loss_dice: 0.8726, decode.d2.loss_cls: 0.3884, decode.d2.loss_mask: 0.5545, decode.d2.loss_dice: 0.8428, decode.d3.loss_cls: 0.3672, decode.d3.loss_mask: 0.5523, decode.d3.loss_dice: 0.8197, decode.d4.loss_cls: 0.3563, decode.d4.loss_mask: 0.5518, decode.d4.loss_dice: 0.8175, decode.d5.loss_cls: 0.3535, decode.d5.loss_mask: 0.5477, decode.d5.loss_dice: 0.8124, decode.d6.loss_cls: 0.3497, decode.d6.loss_mask: 0.5455, decode.d6.loss_dice: 0.8065, decode.d7.loss_cls: 0.3454, decode.d7.loss_mask: 0.5461, decode.d7.loss_dice: 0.8095, decode.d8.loss_cls: 0.3441, decode.d8.loss_mask: 0.5472, decode.d8.loss_dice: 0.8098, loss: 18.5435 2022-05-01 07:39:50,912 - mmseg - INFO - Iter [29350/80000] lr: 9.091e-07, eta: 1 day, 3:27:25, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3577, decode.loss_mask: 0.5697, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.3781, decode.d0.loss_mask: 0.6165, decode.d0.loss_dice: 0.9175, decode.d1.loss_cls: 0.4385, decode.d1.loss_mask: 0.5986, decode.d1.loss_dice: 0.8674, decode.d2.loss_cls: 0.3966, decode.d2.loss_mask: 0.5819, decode.d2.loss_dice: 0.8418, decode.d3.loss_cls: 0.3789, decode.d3.loss_mask: 0.5740, decode.d3.loss_dice: 0.8198, decode.d4.loss_cls: 0.3672, decode.d4.loss_mask: 0.5733, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.3661, decode.d5.loss_mask: 0.5708, decode.d5.loss_dice: 0.8156, decode.d6.loss_cls: 0.3664, decode.d6.loss_mask: 0.5679, decode.d6.loss_dice: 0.8030, decode.d7.loss_cls: 0.3633, decode.d7.loss_mask: 0.5693, decode.d7.loss_dice: 0.8038, decode.d8.loss_cls: 0.3587, decode.d8.loss_mask: 0.5696, decode.d8.loss_dice: 0.8064, loss: 18.8686 2022-05-01 07:41:25,832 - mmseg - INFO - Iter [29400/80000] lr: 9.082e-07, eta: 1 day, 3:25:43, time: 1.898, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3556, decode.loss_mask: 0.5652, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.3774, decode.d0.loss_mask: 0.6107, decode.d0.loss_dice: 0.9304, decode.d1.loss_cls: 0.4486, decode.d1.loss_mask: 0.5954, decode.d1.loss_dice: 0.8774, decode.d2.loss_cls: 0.4011, decode.d2.loss_mask: 0.5763, decode.d2.loss_dice: 0.8321, decode.d3.loss_cls: 0.3817, decode.d3.loss_mask: 0.5676, decode.d3.loss_dice: 0.8155, decode.d4.loss_cls: 0.3738, decode.d4.loss_mask: 0.5670, decode.d4.loss_dice: 0.8158, decode.d5.loss_cls: 0.3711, decode.d5.loss_mask: 0.5660, decode.d5.loss_dice: 0.8122, decode.d6.loss_cls: 0.3588, decode.d6.loss_mask: 0.5615, decode.d6.loss_dice: 0.8083, decode.d7.loss_cls: 0.3593, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8061, decode.d8.loss_cls: 0.3562, decode.d8.loss_mask: 0.5653, decode.d8.loss_dice: 0.8104, loss: 18.8353 2022-05-01 07:42:59,704 - mmseg - INFO - Iter [29450/80000] lr: 9.073e-07, eta: 1 day, 3:23:59, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3535, decode.loss_mask: 0.5637, decode.loss_dice: 0.7919, decode.d0.loss_cls: 1.3624, decode.d0.loss_mask: 0.6122, decode.d0.loss_dice: 0.9028, decode.d1.loss_cls: 0.4393, decode.d1.loss_mask: 0.5956, decode.d1.loss_dice: 0.8545, decode.d2.loss_cls: 0.4011, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8265, decode.d3.loss_cls: 0.3772, decode.d3.loss_mask: 0.5692, decode.d3.loss_dice: 0.8031, decode.d4.loss_cls: 0.3650, decode.d4.loss_mask: 0.5673, decode.d4.loss_dice: 0.8023, decode.d5.loss_cls: 0.3667, decode.d5.loss_mask: 0.5674, decode.d5.loss_dice: 0.7991, decode.d6.loss_cls: 0.3602, decode.d6.loss_mask: 0.5619, decode.d6.loss_dice: 0.7921, decode.d7.loss_cls: 0.3551, decode.d7.loss_mask: 0.5602, decode.d7.loss_dice: 0.7946, decode.d8.loss_cls: 0.3538, decode.d8.loss_mask: 0.5630, decode.d8.loss_dice: 0.7947, loss: 18.6391 2022-05-01 07:44:33,115 - mmseg - INFO - Iter [29500/80000] lr: 9.064e-07, eta: 1 day, 3:22:15, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3717, decode.loss_mask: 0.5661, decode.loss_dice: 0.8171, decode.d0.loss_cls: 1.3844, decode.d0.loss_mask: 0.6185, decode.d0.loss_dice: 0.9332, decode.d1.loss_cls: 0.4518, decode.d1.loss_mask: 0.5958, decode.d1.loss_dice: 0.8885, decode.d2.loss_cls: 0.4102, decode.d2.loss_mask: 0.5755, decode.d2.loss_dice: 0.8532, decode.d3.loss_cls: 0.3873, decode.d3.loss_mask: 0.5763, decode.d3.loss_dice: 0.8330, decode.d4.loss_cls: 0.3784, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8332, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5711, decode.d5.loss_dice: 0.8319, decode.d6.loss_cls: 0.3744, decode.d6.loss_mask: 0.5688, decode.d6.loss_dice: 0.8229, decode.d7.loss_cls: 0.3686, decode.d7.loss_mask: 0.5664, decode.d7.loss_dice: 0.8233, decode.d8.loss_cls: 0.3705, decode.d8.loss_mask: 0.5641, decode.d8.loss_dice: 0.8210, loss: 19.1058 2022-05-01 07:46:07,470 - mmseg - INFO - Iter [29550/80000] lr: 9.055e-07, eta: 1 day, 3:20:31, time: 1.886, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3624, decode.loss_mask: 0.5475, decode.loss_dice: 0.8388, decode.d0.loss_cls: 1.3915, decode.d0.loss_mask: 0.6027, decode.d0.loss_dice: 0.9633, decode.d1.loss_cls: 0.4632, decode.d1.loss_mask: 0.5805, decode.d1.loss_dice: 0.9072, decode.d2.loss_cls: 0.4150, decode.d2.loss_mask: 0.5643, decode.d2.loss_dice: 0.8701, decode.d3.loss_cls: 0.3910, decode.d3.loss_mask: 0.5561, decode.d3.loss_dice: 0.8512, decode.d4.loss_cls: 0.3727, decode.d4.loss_mask: 0.5537, decode.d4.loss_dice: 0.8508, decode.d5.loss_cls: 0.3715, decode.d5.loss_mask: 0.5529, decode.d5.loss_dice: 0.8496, decode.d6.loss_cls: 0.3664, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.8393, decode.d7.loss_cls: 0.3602, decode.d7.loss_mask: 0.5496, decode.d7.loss_dice: 0.8433, decode.d8.loss_cls: 0.3602, decode.d8.loss_mask: 0.5490, decode.d8.loss_dice: 0.8467, loss: 19.1221 2022-05-01 07:47:40,319 - mmseg - INFO - Iter [29600/80000] lr: 9.046e-07, eta: 1 day, 3:18:46, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3578, decode.loss_mask: 0.5640, decode.loss_dice: 0.8024, decode.d0.loss_cls: 1.4210, decode.d0.loss_mask: 0.6061, decode.d0.loss_dice: 0.9139, decode.d1.loss_cls: 0.4550, decode.d1.loss_mask: 0.5889, decode.d1.loss_dice: 0.8625, decode.d2.loss_cls: 0.4001, decode.d2.loss_mask: 0.5724, decode.d2.loss_dice: 0.8276, decode.d3.loss_cls: 0.3808, decode.d3.loss_mask: 0.5660, decode.d3.loss_dice: 0.8123, decode.d4.loss_cls: 0.3709, decode.d4.loss_mask: 0.5699, decode.d4.loss_dice: 0.8102, decode.d5.loss_cls: 0.3726, decode.d5.loss_mask: 0.5657, decode.d5.loss_dice: 0.8067, decode.d6.loss_cls: 0.3670, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8031, decode.d7.loss_cls: 0.3611, decode.d7.loss_mask: 0.5635, decode.d7.loss_dice: 0.7965, decode.d8.loss_cls: 0.3606, decode.d8.loss_mask: 0.5652, decode.d8.loss_dice: 0.8033, loss: 18.8117 2022-05-01 07:49:12,937 - mmseg - INFO - Iter [29650/80000] lr: 9.037e-07, eta: 1 day, 3:17:00, time: 1.852, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3761, decode.loss_mask: 0.5634, decode.loss_dice: 0.8198, decode.d0.loss_cls: 1.4062, decode.d0.loss_mask: 0.6160, decode.d0.loss_dice: 0.9313, decode.d1.loss_cls: 0.4679, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.8849, decode.d2.loss_cls: 0.4201, decode.d2.loss_mask: 0.5786, decode.d2.loss_dice: 0.8522, decode.d3.loss_cls: 0.4004, decode.d3.loss_mask: 0.5680, decode.d3.loss_dice: 0.8301, decode.d4.loss_cls: 0.3936, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8271, decode.d5.loss_cls: 0.3882, decode.d5.loss_mask: 0.5705, decode.d5.loss_dice: 0.8312, decode.d6.loss_cls: 0.3914, decode.d6.loss_mask: 0.5619, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3848, decode.d7.loss_mask: 0.5593, decode.d7.loss_dice: 0.8156, decode.d8.loss_cls: 0.3829, decode.d8.loss_mask: 0.5602, decode.d8.loss_dice: 0.8167, loss: 19.1711 2022-05-01 07:50:45,556 - mmseg - INFO - Iter [29700/80000] lr: 9.028e-07, eta: 1 day, 3:15:14, time: 1.853, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3661, decode.loss_mask: 0.5805, decode.loss_dice: 0.8430, decode.d0.loss_cls: 1.3941, decode.d0.loss_mask: 0.6375, decode.d0.loss_dice: 0.9662, decode.d1.loss_cls: 0.4589, decode.d1.loss_mask: 0.6071, decode.d1.loss_dice: 0.9162, decode.d2.loss_cls: 0.4026, decode.d2.loss_mask: 0.5960, decode.d2.loss_dice: 0.8771, decode.d3.loss_cls: 0.3867, decode.d3.loss_mask: 0.5863, decode.d3.loss_dice: 0.8528, decode.d4.loss_cls: 0.3771, decode.d4.loss_mask: 0.5855, decode.d4.loss_dice: 0.8548, decode.d5.loss_cls: 0.3753, decode.d5.loss_mask: 0.5855, decode.d5.loss_dice: 0.8497, decode.d6.loss_cls: 0.3710, decode.d6.loss_mask: 0.5806, decode.d6.loss_dice: 0.8435, decode.d7.loss_cls: 0.3665, decode.d7.loss_mask: 0.5835, decode.d7.loss_dice: 0.8453, decode.d8.loss_cls: 0.3656, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8444, loss: 19.4818 2022-05-01 07:52:18,420 - mmseg - INFO - Iter [29750/80000] lr: 9.019e-07, eta: 1 day, 3:13:29, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3663, decode.loss_mask: 0.5698, decode.loss_dice: 0.8307, decode.d0.loss_cls: 1.4171, decode.d0.loss_mask: 0.6209, decode.d0.loss_dice: 0.9506, decode.d1.loss_cls: 0.4553, decode.d1.loss_mask: 0.5924, decode.d1.loss_dice: 0.8907, decode.d2.loss_cls: 0.4019, decode.d2.loss_mask: 0.5788, decode.d2.loss_dice: 0.8616, decode.d3.loss_cls: 0.3908, decode.d3.loss_mask: 0.5735, decode.d3.loss_dice: 0.8401, decode.d4.loss_cls: 0.3830, decode.d4.loss_mask: 0.5719, decode.d4.loss_dice: 0.8376, decode.d5.loss_cls: 0.3714, decode.d5.loss_mask: 0.5736, decode.d5.loss_dice: 0.8356, decode.d6.loss_cls: 0.3699, decode.d6.loss_mask: 0.5686, decode.d6.loss_dice: 0.8333, decode.d7.loss_cls: 0.3664, decode.d7.loss_mask: 0.5696, decode.d7.loss_dice: 0.8328, decode.d8.loss_cls: 0.3651, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8304, loss: 19.2179 2022-05-01 07:53:51,229 - mmseg - INFO - Iter [29800/80000] lr: 9.010e-07, eta: 1 day, 3:11:43, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3683, decode.loss_mask: 0.5409, decode.loss_dice: 0.8018, decode.d0.loss_cls: 1.4040, decode.d0.loss_mask: 0.5970, decode.d0.loss_dice: 0.9331, decode.d1.loss_cls: 0.4657, decode.d1.loss_mask: 0.5733, decode.d1.loss_dice: 0.8623, decode.d2.loss_cls: 0.4177, decode.d2.loss_mask: 0.5553, decode.d2.loss_dice: 0.8245, decode.d3.loss_cls: 0.3912, decode.d3.loss_mask: 0.5477, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3809, decode.d4.loss_mask: 0.5451, decode.d4.loss_dice: 0.8126, decode.d5.loss_cls: 0.3774, decode.d5.loss_mask: 0.5461, decode.d5.loss_dice: 0.8098, decode.d6.loss_cls: 0.3757, decode.d6.loss_mask: 0.5403, decode.d6.loss_dice: 0.7998, decode.d7.loss_cls: 0.3701, decode.d7.loss_mask: 0.5393, decode.d7.loss_dice: 0.8012, decode.d8.loss_cls: 0.3690, decode.d8.loss_mask: 0.5392, decode.d8.loss_dice: 0.7989, loss: 18.7052 2022-05-01 07:55:22,977 - mmseg - INFO - Iter [29850/80000] lr: 9.001e-07, eta: 1 day, 3:09:56, time: 1.834, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3524, decode.loss_mask: 0.5667, decode.loss_dice: 0.8151, decode.d0.loss_cls: 1.4218, decode.d0.loss_mask: 0.6161, decode.d0.loss_dice: 0.9212, decode.d1.loss_cls: 0.4348, decode.d1.loss_mask: 0.5933, decode.d1.loss_dice: 0.8811, decode.d2.loss_cls: 0.3956, decode.d2.loss_mask: 0.5763, decode.d2.loss_dice: 0.8423, decode.d3.loss_cls: 0.3735, decode.d3.loss_mask: 0.5702, decode.d3.loss_dice: 0.8207, decode.d4.loss_cls: 0.3677, decode.d4.loss_mask: 0.5706, decode.d4.loss_dice: 0.8227, decode.d5.loss_cls: 0.3625, decode.d5.loss_mask: 0.5659, decode.d5.loss_dice: 0.8181, decode.d6.loss_cls: 0.3547, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8181, decode.d7.loss_cls: 0.3550, decode.d7.loss_mask: 0.5659, decode.d7.loss_dice: 0.8144, decode.d8.loss_cls: 0.3534, decode.d8.loss_mask: 0.5665, decode.d8.loss_dice: 0.8136, loss: 18.8971 2022-05-01 07:56:57,931 - mmseg - INFO - Iter [29900/80000] lr: 8.992e-07, eta: 1 day, 3:08:14, time: 1.900, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3739, decode.loss_mask: 0.5470, decode.loss_dice: 0.8245, decode.d0.loss_cls: 1.4107, decode.d0.loss_mask: 0.6018, decode.d0.loss_dice: 0.9509, decode.d1.loss_cls: 0.4577, decode.d1.loss_mask: 0.5791, decode.d1.loss_dice: 0.8953, decode.d2.loss_cls: 0.4134, decode.d2.loss_mask: 0.5611, decode.d2.loss_dice: 0.8606, decode.d3.loss_cls: 0.3910, decode.d3.loss_mask: 0.5531, decode.d3.loss_dice: 0.8367, decode.d4.loss_cls: 0.3873, decode.d4.loss_mask: 0.5507, decode.d4.loss_dice: 0.8353, decode.d5.loss_cls: 0.3847, decode.d5.loss_mask: 0.5487, decode.d5.loss_dice: 0.8303, decode.d6.loss_cls: 0.3787, decode.d6.loss_mask: 0.5490, decode.d6.loss_dice: 0.8252, decode.d7.loss_cls: 0.3778, decode.d7.loss_mask: 0.5473, decode.d7.loss_dice: 0.8246, decode.d8.loss_cls: 0.3760, decode.d8.loss_mask: 0.5493, decode.d8.loss_dice: 0.8245, loss: 19.0462 2022-05-01 07:58:31,771 - mmseg - INFO - Iter [29950/80000] lr: 8.983e-07, eta: 1 day, 3:06:31, time: 1.876, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3447, decode.loss_mask: 0.5543, decode.loss_dice: 0.8070, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.9105, decode.d1.loss_cls: 0.4326, decode.d1.loss_mask: 0.5773, decode.d1.loss_dice: 0.8662, decode.d2.loss_cls: 0.3877, decode.d2.loss_mask: 0.5659, decode.d2.loss_dice: 0.8322, decode.d3.loss_cls: 0.3679, decode.d3.loss_mask: 0.5628, decode.d3.loss_dice: 0.8093, decode.d4.loss_cls: 0.3624, decode.d4.loss_mask: 0.5573, decode.d4.loss_dice: 0.8088, decode.d5.loss_cls: 0.3618, decode.d5.loss_mask: 0.5538, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3458, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.7998, decode.d7.loss_cls: 0.3499, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.8030, decode.d8.loss_cls: 0.3426, decode.d8.loss_mask: 0.5549, decode.d8.loss_dice: 0.8044, loss: 18.5623 2022-05-01 08:00:04,024 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-05-01 08:00:22,627 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 08:00:22,629 - mmseg - INFO - Iter [30000/80000] lr: 8.974e-07, eta: 1 day, 3:05:15, time: 2.217, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3684, decode.loss_mask: 0.5412, decode.loss_dice: 0.7869, decode.d0.loss_cls: 1.3967, decode.d0.loss_mask: 0.5865, decode.d0.loss_dice: 0.9044, decode.d1.loss_cls: 0.4594, decode.d1.loss_mask: 0.5693, decode.d1.loss_dice: 0.8484, decode.d2.loss_cls: 0.4102, decode.d2.loss_mask: 0.5545, decode.d2.loss_dice: 0.8138, decode.d3.loss_cls: 0.3943, decode.d3.loss_mask: 0.5445, decode.d3.loss_dice: 0.7966, decode.d4.loss_cls: 0.3863, decode.d4.loss_mask: 0.5447, decode.d4.loss_dice: 0.7986, decode.d5.loss_cls: 0.3824, decode.d5.loss_mask: 0.5409, decode.d5.loss_dice: 0.7956, decode.d6.loss_cls: 0.3742, decode.d6.loss_mask: 0.5391, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3723, decode.d7.loss_mask: 0.5402, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3727, decode.d8.loss_mask: 0.5373, decode.d8.loss_dice: 0.7859, loss: 18.5149 2022-05-01 08:01:57,653 - mmseg - INFO - Iter [30050/80000] lr: 8.965e-07, eta: 1 day, 3:03:34, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.4039, decode.loss_mask: 0.5380, decode.loss_dice: 0.8160, decode.d0.loss_cls: 1.4310, decode.d0.loss_mask: 0.5873, decode.d0.loss_dice: 0.9285, decode.d1.loss_cls: 0.4910, decode.d1.loss_mask: 0.5718, decode.d1.loss_dice: 0.8843, decode.d2.loss_cls: 0.4447, decode.d2.loss_mask: 0.5520, decode.d2.loss_dice: 0.8509, decode.d3.loss_cls: 0.4253, decode.d3.loss_mask: 0.5468, decode.d3.loss_dice: 0.8313, decode.d4.loss_cls: 0.4188, decode.d4.loss_mask: 0.5445, decode.d4.loss_dice: 0.8229, decode.d5.loss_cls: 0.4119, decode.d5.loss_mask: 0.5425, decode.d5.loss_dice: 0.8227, decode.d6.loss_cls: 0.4141, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.8126, decode.d7.loss_cls: 0.4059, decode.d7.loss_mask: 0.5376, decode.d7.loss_dice: 0.8160, decode.d8.loss_cls: 0.4041, decode.d8.loss_mask: 0.5392, decode.d8.loss_dice: 0.8180, loss: 19.1522 2022-05-01 08:03:31,598 - mmseg - INFO - Iter [30100/80000] lr: 8.956e-07, eta: 1 day, 3:01:50, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3671, decode.loss_mask: 0.5540, decode.loss_dice: 0.8279, decode.d0.loss_cls: 1.3968, decode.d0.loss_mask: 0.5964, decode.d0.loss_dice: 0.9458, decode.d1.loss_cls: 0.4591, decode.d1.loss_mask: 0.5776, decode.d1.loss_dice: 0.8915, decode.d2.loss_cls: 0.4132, decode.d2.loss_mask: 0.5614, decode.d2.loss_dice: 0.8618, decode.d3.loss_cls: 0.3960, decode.d3.loss_mask: 0.5588, decode.d3.loss_dice: 0.8449, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5574, decode.d4.loss_dice: 0.8391, decode.d5.loss_cls: 0.3758, decode.d5.loss_mask: 0.5534, decode.d5.loss_dice: 0.8354, decode.d6.loss_cls: 0.3705, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.8267, decode.d7.loss_cls: 0.3673, decode.d7.loss_mask: 0.5538, decode.d7.loss_dice: 0.8274, decode.d8.loss_cls: 0.3679, decode.d8.loss_mask: 0.5571, decode.d8.loss_dice: 0.8322, loss: 19.0511 2022-05-01 08:05:03,491 - mmseg - INFO - Iter [30150/80000] lr: 8.947e-07, eta: 1 day, 3:00:04, time: 1.838, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3855, decode.loss_mask: 0.5610, decode.loss_dice: 0.8259, decode.d0.loss_cls: 1.4070, decode.d0.loss_mask: 0.6176, decode.d0.loss_dice: 0.9485, decode.d1.loss_cls: 0.4733, decode.d1.loss_mask: 0.5930, decode.d1.loss_dice: 0.8972, decode.d2.loss_cls: 0.4207, decode.d2.loss_mask: 0.5731, decode.d2.loss_dice: 0.8622, decode.d3.loss_cls: 0.4019, decode.d3.loss_mask: 0.5699, decode.d3.loss_dice: 0.8436, decode.d4.loss_cls: 0.3902, decode.d4.loss_mask: 0.5690, decode.d4.loss_dice: 0.8427, decode.d5.loss_cls: 0.3871, decode.d5.loss_mask: 0.5647, decode.d5.loss_dice: 0.8354, decode.d6.loss_cls: 0.3862, decode.d6.loss_mask: 0.5618, decode.d6.loss_dice: 0.8292, decode.d7.loss_cls: 0.3844, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8310, decode.d8.loss_cls: 0.3801, decode.d8.loss_mask: 0.5621, decode.d8.loss_dice: 0.8279, loss: 19.2962 2022-05-01 08:06:36,190 - mmseg - INFO - Iter [30200/80000] lr: 8.938e-07, eta: 1 day, 2:58:18, time: 1.854, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3737, decode.loss_mask: 0.5607, decode.loss_dice: 0.8126, decode.d0.loss_cls: 1.4181, decode.d0.loss_mask: 0.6037, decode.d0.loss_dice: 0.9205, decode.d1.loss_cls: 0.4680, decode.d1.loss_mask: 0.5888, decode.d1.loss_dice: 0.8802, decode.d2.loss_cls: 0.4165, decode.d2.loss_mask: 0.5753, decode.d2.loss_dice: 0.8468, decode.d3.loss_cls: 0.3961, decode.d3.loss_mask: 0.5672, decode.d3.loss_dice: 0.8280, decode.d4.loss_cls: 0.3884, decode.d4.loss_mask: 0.5632, decode.d4.loss_dice: 0.8271, decode.d5.loss_cls: 0.3812, decode.d5.loss_mask: 0.5620, decode.d5.loss_dice: 0.8302, decode.d6.loss_cls: 0.3734, decode.d6.loss_mask: 0.5630, decode.d6.loss_dice: 0.8192, decode.d7.loss_cls: 0.3752, decode.d7.loss_mask: 0.5588, decode.d7.loss_dice: 0.8150, decode.d8.loss_cls: 0.3779, decode.d8.loss_mask: 0.5594, decode.d8.loss_dice: 0.8108, loss: 19.0607 2022-05-01 08:08:09,199 - mmseg - INFO - Iter [30250/80000] lr: 8.929e-07, eta: 1 day, 2:56:33, time: 1.860, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3607, decode.loss_mask: 0.5581, decode.loss_dice: 0.7847, decode.d0.loss_cls: 1.3675, decode.d0.loss_mask: 0.6035, decode.d0.loss_dice: 0.8980, decode.d1.loss_cls: 0.4448, decode.d1.loss_mask: 0.5814, decode.d1.loss_dice: 0.8458, decode.d2.loss_cls: 0.3962, decode.d2.loss_mask: 0.5674, decode.d2.loss_dice: 0.8139, decode.d3.loss_cls: 0.3792, decode.d3.loss_mask: 0.5609, decode.d3.loss_dice: 0.7992, decode.d4.loss_cls: 0.3716, decode.d4.loss_mask: 0.5575, decode.d4.loss_dice: 0.7981, decode.d5.loss_cls: 0.3640, decode.d5.loss_mask: 0.5578, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3657, decode.d6.loss_mask: 0.5526, decode.d6.loss_dice: 0.7839, decode.d7.loss_cls: 0.3602, decode.d7.loss_mask: 0.5555, decode.d7.loss_dice: 0.7871, decode.d8.loss_cls: 0.3608, decode.d8.loss_mask: 0.5593, decode.d8.loss_dice: 0.7890, loss: 18.5194 2022-05-01 08:09:41,244 - mmseg - INFO - Iter [30300/80000] lr: 8.920e-07, eta: 1 day, 2:54:47, time: 1.841, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3563, decode.loss_mask: 0.5664, decode.loss_dice: 0.8096, decode.d0.loss_cls: 1.3805, decode.d0.loss_mask: 0.6102, decode.d0.loss_dice: 0.9150, decode.d1.loss_cls: 0.4432, decode.d1.loss_mask: 0.5913, decode.d1.loss_dice: 0.8656, decode.d2.loss_cls: 0.4004, decode.d2.loss_mask: 0.5717, decode.d2.loss_dice: 0.8411, decode.d3.loss_cls: 0.3809, decode.d3.loss_mask: 0.5698, decode.d3.loss_dice: 0.8164, decode.d4.loss_cls: 0.3729, decode.d4.loss_mask: 0.5665, decode.d4.loss_dice: 0.8177, decode.d5.loss_cls: 0.3575, decode.d5.loss_mask: 0.5703, decode.d5.loss_dice: 0.8140, decode.d6.loss_cls: 0.3623, decode.d6.loss_mask: 0.5665, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3578, decode.d7.loss_mask: 0.5662, decode.d7.loss_dice: 0.8081, decode.d8.loss_cls: 0.3547, decode.d8.loss_mask: 0.5650, decode.d8.loss_dice: 0.8078, loss: 18.8096 2022-05-01 08:11:17,067 - mmseg - INFO - Iter [30350/80000] lr: 8.911e-07, eta: 1 day, 2:53:07, time: 1.917, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3575, decode.loss_mask: 0.5403, decode.loss_dice: 0.8003, decode.d0.loss_cls: 1.4067, decode.d0.loss_mask: 0.5946, decode.d0.loss_dice: 0.9085, decode.d1.loss_cls: 0.4436, decode.d1.loss_mask: 0.5703, decode.d1.loss_dice: 0.8500, decode.d2.loss_cls: 0.3993, decode.d2.loss_mask: 0.5529, decode.d2.loss_dice: 0.8197, decode.d3.loss_cls: 0.3820, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8040, decode.d4.loss_cls: 0.3717, decode.d4.loss_mask: 0.5469, decode.d4.loss_dice: 0.8014, decode.d5.loss_cls: 0.3696, decode.d5.loss_mask: 0.5409, decode.d5.loss_dice: 0.7982, decode.d6.loss_cls: 0.3602, decode.d6.loss_mask: 0.5385, decode.d6.loss_dice: 0.7997, decode.d7.loss_cls: 0.3572, decode.d7.loss_mask: 0.5380, decode.d7.loss_dice: 0.7997, decode.d8.loss_cls: 0.3585, decode.d8.loss_mask: 0.5387, decode.d8.loss_dice: 0.8016, loss: 18.4971 2022-05-01 08:12:50,787 - mmseg - INFO - Iter [30400/80000] lr: 8.902e-07, eta: 1 day, 2:51:23, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3465, decode.loss_mask: 0.5572, decode.loss_dice: 0.7801, decode.d0.loss_cls: 1.3444, decode.d0.loss_mask: 0.6045, decode.d0.loss_dice: 0.8996, decode.d1.loss_cls: 0.4164, decode.d1.loss_mask: 0.5856, decode.d1.loss_dice: 0.8427, decode.d2.loss_cls: 0.3755, decode.d2.loss_mask: 0.5668, decode.d2.loss_dice: 0.8141, decode.d3.loss_cls: 0.3658, decode.d3.loss_mask: 0.5591, decode.d3.loss_dice: 0.7988, decode.d4.loss_cls: 0.3574, decode.d4.loss_mask: 0.5597, decode.d4.loss_dice: 0.7932, decode.d5.loss_cls: 0.3494, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.7895, decode.d6.loss_cls: 0.3463, decode.d6.loss_mask: 0.5553, decode.d6.loss_dice: 0.7868, decode.d7.loss_cls: 0.3455, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.7817, decode.d8.loss_cls: 0.3449, decode.d8.loss_mask: 0.5554, decode.d8.loss_dice: 0.7787, loss: 18.3152 2022-05-01 08:14:23,117 - mmseg - INFO - Iter [30450/80000] lr: 8.893e-07, eta: 1 day, 2:49:37, time: 1.847, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3640, decode.loss_mask: 0.5481, decode.loss_dice: 0.7936, decode.d0.loss_cls: 1.3830, decode.d0.loss_mask: 0.5964, decode.d0.loss_dice: 0.9035, decode.d1.loss_cls: 0.4476, decode.d1.loss_mask: 0.5715, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3999, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.8279, decode.d3.loss_cls: 0.3895, decode.d3.loss_mask: 0.5563, decode.d3.loss_dice: 0.8042, decode.d4.loss_cls: 0.3740, decode.d4.loss_mask: 0.5527, decode.d4.loss_dice: 0.8042, decode.d5.loss_cls: 0.3714, decode.d5.loss_mask: 0.5492, decode.d5.loss_dice: 0.8019, decode.d6.loss_cls: 0.3602, decode.d6.loss_mask: 0.5524, decode.d6.loss_dice: 0.7959, decode.d7.loss_cls: 0.3591, decode.d7.loss_mask: 0.5503, decode.d7.loss_dice: 0.7944, decode.d8.loss_cls: 0.3605, decode.d8.loss_mask: 0.5504, decode.d8.loss_dice: 0.7961, loss: 18.5708 2022-05-01 08:15:54,566 - mmseg - INFO - Iter [30500/80000] lr: 8.884e-07, eta: 1 day, 2:47:50, time: 1.829, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3611, decode.loss_mask: 0.5504, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.3832, decode.d0.loss_mask: 0.6015, decode.d0.loss_dice: 0.9248, decode.d1.loss_cls: 0.4467, decode.d1.loss_mask: 0.5771, decode.d1.loss_dice: 0.8722, decode.d2.loss_cls: 0.4019, decode.d2.loss_mask: 0.5569, decode.d2.loss_dice: 0.8373, decode.d3.loss_cls: 0.3869, decode.d3.loss_mask: 0.5508, decode.d3.loss_dice: 0.8162, decode.d4.loss_cls: 0.3758, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.8178, decode.d5.loss_cls: 0.3724, decode.d5.loss_mask: 0.5469, decode.d5.loss_dice: 0.8138, decode.d6.loss_cls: 0.3621, decode.d6.loss_mask: 0.5465, decode.d6.loss_dice: 0.8089, decode.d7.loss_cls: 0.3593, decode.d7.loss_mask: 0.5502, decode.d7.loss_dice: 0.8118, decode.d8.loss_cls: 0.3556, decode.d8.loss_mask: 0.5496, decode.d8.loss_dice: 0.8084, loss: 18.7072 2022-05-01 08:17:28,247 - mmseg - INFO - Iter [30550/80000] lr: 8.875e-07, eta: 1 day, 2:46:07, time: 1.873, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3829, decode.loss_mask: 0.5542, decode.loss_dice: 0.8219, decode.d0.loss_cls: 1.4211, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9399, decode.d1.loss_cls: 0.4657, decode.d1.loss_mask: 0.5826, decode.d1.loss_dice: 0.8903, decode.d2.loss_cls: 0.4156, decode.d2.loss_mask: 0.5670, decode.d2.loss_dice: 0.8542, decode.d3.loss_cls: 0.3998, decode.d3.loss_mask: 0.5594, decode.d3.loss_dice: 0.8322, decode.d4.loss_cls: 0.3936, decode.d4.loss_mask: 0.5575, decode.d4.loss_dice: 0.8306, decode.d5.loss_cls: 0.3832, decode.d5.loss_mask: 0.5608, decode.d5.loss_dice: 0.8307, decode.d6.loss_cls: 0.3763, decode.d6.loss_mask: 0.5583, decode.d6.loss_dice: 0.8224, decode.d7.loss_cls: 0.3758, decode.d7.loss_mask: 0.5572, decode.d7.loss_dice: 0.8240, decode.d8.loss_cls: 0.3769, decode.d8.loss_mask: 0.5553, decode.d8.loss_dice: 0.8160, loss: 19.1086 2022-05-01 08:19:03,403 - mmseg - INFO - Iter [30600/80000] lr: 8.866e-07, eta: 1 day, 2:44:25, time: 1.903, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3546, decode.loss_mask: 0.5551, decode.loss_dice: 0.8160, decode.d0.loss_cls: 1.3867, decode.d0.loss_mask: 0.6125, decode.d0.loss_dice: 0.9408, decode.d1.loss_cls: 0.4401, decode.d1.loss_mask: 0.5849, decode.d1.loss_dice: 0.8822, decode.d2.loss_cls: 0.3884, decode.d2.loss_mask: 0.5727, decode.d2.loss_dice: 0.8508, decode.d3.loss_cls: 0.3749, decode.d3.loss_mask: 0.5637, decode.d3.loss_dice: 0.8309, decode.d4.loss_cls: 0.3642, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.8287, decode.d5.loss_cls: 0.3649, decode.d5.loss_mask: 0.5597, decode.d5.loss_dice: 0.8212, decode.d6.loss_cls: 0.3591, decode.d6.loss_mask: 0.5555, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3580, decode.d7.loss_mask: 0.5532, decode.d7.loss_dice: 0.8198, decode.d8.loss_cls: 0.3553, decode.d8.loss_mask: 0.5549, decode.d8.loss_dice: 0.8195, loss: 18.8474 2022-05-01 08:20:37,197 - mmseg - INFO - Iter [30650/80000] lr: 8.857e-07, eta: 1 day, 2:42:42, time: 1.876, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3523, decode.loss_mask: 0.5521, decode.loss_dice: 0.8061, decode.d0.loss_cls: 1.4085, decode.d0.loss_mask: 0.5966, decode.d0.loss_dice: 0.9237, decode.d1.loss_cls: 0.4536, decode.d1.loss_mask: 0.5781, decode.d1.loss_dice: 0.8664, decode.d2.loss_cls: 0.4045, decode.d2.loss_mask: 0.5660, decode.d2.loss_dice: 0.8294, decode.d3.loss_cls: 0.3836, decode.d3.loss_mask: 0.5585, decode.d3.loss_dice: 0.8139, decode.d4.loss_cls: 0.3700, decode.d4.loss_mask: 0.5586, decode.d4.loss_dice: 0.8176, decode.d5.loss_cls: 0.3607, decode.d5.loss_mask: 0.5571, decode.d5.loss_dice: 0.8111, decode.d6.loss_cls: 0.3592, decode.d6.loss_mask: 0.5556, decode.d6.loss_dice: 0.8064, decode.d7.loss_cls: 0.3547, decode.d7.loss_mask: 0.5557, decode.d7.loss_dice: 0.8087, decode.d8.loss_cls: 0.3561, decode.d8.loss_mask: 0.5544, decode.d8.loss_dice: 0.8066, loss: 18.7258 2022-05-01 08:22:09,426 - mmseg - INFO - Iter [30700/80000] lr: 8.848e-07, eta: 1 day, 2:40:56, time: 1.846, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3619, decode.loss_mask: 0.5331, decode.loss_dice: 0.7989, decode.d0.loss_cls: 1.3948, decode.d0.loss_mask: 0.5806, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4433, decode.d1.loss_mask: 0.5603, decode.d1.loss_dice: 0.8636, decode.d2.loss_cls: 0.3991, decode.d2.loss_mask: 0.5439, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3799, decode.d3.loss_mask: 0.5385, decode.d3.loss_dice: 0.8125, decode.d4.loss_cls: 0.3699, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.8109, decode.d5.loss_cls: 0.3669, decode.d5.loss_mask: 0.5367, decode.d5.loss_dice: 0.8109, decode.d6.loss_cls: 0.3621, decode.d6.loss_mask: 0.5328, decode.d6.loss_dice: 0.7988, decode.d7.loss_cls: 0.3584, decode.d7.loss_mask: 0.5334, decode.d7.loss_dice: 0.8052, decode.d8.loss_cls: 0.3596, decode.d8.loss_mask: 0.5321, decode.d8.loss_dice: 0.8051, loss: 18.4795 2022-05-01 08:23:44,417 - mmseg - INFO - Iter [30750/80000] lr: 8.839e-07, eta: 1 day, 2:39:15, time: 1.899, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3546, decode.loss_mask: 0.5767, decode.loss_dice: 0.8392, decode.d0.loss_cls: 1.3749, decode.d0.loss_mask: 0.6197, decode.d0.loss_dice: 0.9451, decode.d1.loss_cls: 0.4400, decode.d1.loss_mask: 0.6000, decode.d1.loss_dice: 0.9002, decode.d2.loss_cls: 0.3944, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8650, decode.d3.loss_cls: 0.3830, decode.d3.loss_mask: 0.5800, decode.d3.loss_dice: 0.8505, decode.d4.loss_cls: 0.3718, decode.d4.loss_mask: 0.5782, decode.d4.loss_dice: 0.8533, decode.d5.loss_cls: 0.3656, decode.d5.loss_mask: 0.5762, decode.d5.loss_dice: 0.8465, decode.d6.loss_cls: 0.3575, decode.d6.loss_mask: 0.5760, decode.d6.loss_dice: 0.8382, decode.d7.loss_cls: 0.3566, decode.d7.loss_mask: 0.5764, decode.d7.loss_dice: 0.8371, decode.d8.loss_cls: 0.3552, decode.d8.loss_mask: 0.5767, decode.d8.loss_dice: 0.8411, loss: 19.2167 2022-05-01 08:25:16,917 - mmseg - INFO - Iter [30800/80000] lr: 8.830e-07, eta: 1 day, 2:37:30, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3465, decode.loss_mask: 0.5366, decode.loss_dice: 0.7828, decode.d0.loss_cls: 1.3808, decode.d0.loss_mask: 0.5872, decode.d0.loss_dice: 0.8894, decode.d1.loss_cls: 0.4371, decode.d1.loss_mask: 0.5626, decode.d1.loss_dice: 0.8364, decode.d2.loss_cls: 0.3907, decode.d2.loss_mask: 0.5482, decode.d2.loss_dice: 0.8012, decode.d3.loss_cls: 0.3707, decode.d3.loss_mask: 0.5427, decode.d3.loss_dice: 0.7976, decode.d4.loss_cls: 0.3593, decode.d4.loss_mask: 0.5441, decode.d4.loss_dice: 0.7937, decode.d5.loss_cls: 0.3571, decode.d5.loss_mask: 0.5422, decode.d5.loss_dice: 0.7918, decode.d6.loss_cls: 0.3525, decode.d6.loss_mask: 0.5403, decode.d6.loss_dice: 0.7832, decode.d7.loss_cls: 0.3536, decode.d7.loss_mask: 0.5362, decode.d7.loss_dice: 0.7780, decode.d8.loss_cls: 0.3514, decode.d8.loss_mask: 0.5374, decode.d8.loss_dice: 0.7820, loss: 18.2132 2022-05-01 08:26:50,177 - mmseg - INFO - Iter [30850/80000] lr: 8.821e-07, eta: 1 day, 2:35:46, time: 1.866, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3517, decode.loss_mask: 0.5545, decode.loss_dice: 0.7954, decode.d0.loss_cls: 1.3553, decode.d0.loss_mask: 0.6052, decode.d0.loss_dice: 0.9082, decode.d1.loss_cls: 0.4269, decode.d1.loss_mask: 0.5829, decode.d1.loss_dice: 0.8655, decode.d2.loss_cls: 0.3902, decode.d2.loss_mask: 0.5705, decode.d2.loss_dice: 0.8304, decode.d3.loss_cls: 0.3787, decode.d3.loss_mask: 0.5614, decode.d3.loss_dice: 0.8116, decode.d4.loss_cls: 0.3624, decode.d4.loss_mask: 0.5634, decode.d4.loss_dice: 0.8141, decode.d5.loss_cls: 0.3587, decode.d5.loss_mask: 0.5582, decode.d5.loss_dice: 0.8082, decode.d6.loss_cls: 0.3488, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8022, decode.d7.loss_cls: 0.3477, decode.d7.loss_mask: 0.5564, decode.d7.loss_dice: 0.8011, decode.d8.loss_cls: 0.3504, decode.d8.loss_mask: 0.5563, decode.d8.loss_dice: 0.8040, loss: 18.5779 2022-05-01 08:28:23,088 - mmseg - INFO - Iter [30900/80000] lr: 8.812e-07, eta: 1 day, 2:34:01, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3515, decode.loss_mask: 0.5552, decode.loss_dice: 0.7890, decode.d0.loss_cls: 1.3922, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.8929, decode.d1.loss_cls: 0.4428, decode.d1.loss_mask: 0.5787, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3945, decode.d2.loss_mask: 0.5625, decode.d2.loss_dice: 0.8185, decode.d3.loss_cls: 0.3768, decode.d3.loss_mask: 0.5535, decode.d3.loss_dice: 0.7957, decode.d4.loss_cls: 0.3656, decode.d4.loss_mask: 0.5524, decode.d4.loss_dice: 0.7971, decode.d5.loss_cls: 0.3588, decode.d5.loss_mask: 0.5551, decode.d5.loss_dice: 0.7948, decode.d6.loss_cls: 0.3541, decode.d6.loss_mask: 0.5543, decode.d6.loss_dice: 0.7902, decode.d7.loss_cls: 0.3451, decode.d7.loss_mask: 0.5563, decode.d7.loss_dice: 0.7970, decode.d8.loss_cls: 0.3528, decode.d8.loss_mask: 0.5537, decode.d8.loss_dice: 0.7912, loss: 18.4688 2022-05-01 08:29:56,622 - mmseg - INFO - Iter [30950/80000] lr: 8.803e-07, eta: 1 day, 2:32:18, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3570, decode.loss_mask: 0.5626, decode.loss_dice: 0.8044, decode.d0.loss_cls: 1.3756, decode.d0.loss_mask: 0.6128, decode.d0.loss_dice: 0.9227, decode.d1.loss_cls: 0.4330, decode.d1.loss_mask: 0.5906, decode.d1.loss_dice: 0.8792, decode.d2.loss_cls: 0.3946, decode.d2.loss_mask: 0.5737, decode.d2.loss_dice: 0.8435, decode.d3.loss_cls: 0.3787, decode.d3.loss_mask: 0.5655, decode.d3.loss_dice: 0.8222, decode.d4.loss_cls: 0.3685, decode.d4.loss_mask: 0.5659, decode.d4.loss_dice: 0.8187, decode.d5.loss_cls: 0.3648, decode.d5.loss_mask: 0.5645, decode.d5.loss_dice: 0.8110, decode.d6.loss_cls: 0.3649, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.8031, decode.d7.loss_cls: 0.3598, decode.d7.loss_mask: 0.5635, decode.d7.loss_dice: 0.8067, decode.d8.loss_cls: 0.3598, decode.d8.loss_mask: 0.5612, decode.d8.loss_dice: 0.8030, loss: 18.7926 2022-05-01 08:31:29,239 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-05-01 08:32:02,978 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 08:32:02,990 - mmseg - INFO - Iter [31000/80000] lr: 8.794e-07, eta: 1 day, 2:31:26, time: 2.525, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3458, decode.loss_mask: 0.5681, decode.loss_dice: 0.8203, decode.d0.loss_cls: 1.3783, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9215, decode.d1.loss_cls: 0.4458, decode.d1.loss_mask: 0.5968, decode.d1.loss_dice: 0.8834, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8600, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5697, decode.d3.loss_dice: 0.8376, decode.d4.loss_cls: 0.3652, decode.d4.loss_mask: 0.5697, decode.d4.loss_dice: 0.8362, decode.d5.loss_cls: 0.3629, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8275, decode.d6.loss_cls: 0.3546, decode.d6.loss_mask: 0.5682, decode.d6.loss_dice: 0.8202, decode.d7.loss_cls: 0.3474, decode.d7.loss_mask: 0.5691, decode.d7.loss_dice: 0.8226, decode.d8.loss_cls: 0.3480, decode.d8.loss_mask: 0.5690, decode.d8.loss_dice: 0.8274, loss: 18.9493 2022-05-01 08:33:35,388 - mmseg - INFO - Iter [31050/80000] lr: 8.785e-07, eta: 1 day, 2:29:41, time: 1.850, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3463, decode.loss_mask: 0.5632, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.3554, decode.d0.loss_mask: 0.6161, decode.d0.loss_dice: 0.9196, decode.d1.loss_cls: 0.4315, decode.d1.loss_mask: 0.5921, decode.d1.loss_dice: 0.8724, decode.d2.loss_cls: 0.3858, decode.d2.loss_mask: 0.5740, decode.d2.loss_dice: 0.8396, decode.d3.loss_cls: 0.3640, decode.d3.loss_mask: 0.5684, decode.d3.loss_dice: 0.8184, decode.d4.loss_cls: 0.3549, decode.d4.loss_mask: 0.5661, decode.d4.loss_dice: 0.8165, decode.d5.loss_cls: 0.3512, decode.d5.loss_mask: 0.5636, decode.d5.loss_dice: 0.8141, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5632, decode.d6.loss_dice: 0.8061, decode.d7.loss_cls: 0.3433, decode.d7.loss_mask: 0.5619, decode.d7.loss_dice: 0.8032, decode.d8.loss_cls: 0.3445, decode.d8.loss_mask: 0.5627, decode.d8.loss_dice: 0.8061, loss: 18.6597 2022-05-01 08:35:09,616 - mmseg - INFO - Iter [31100/80000] lr: 8.776e-07, eta: 1 day, 2:27:58, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3772, decode.loss_mask: 0.5435, decode.loss_dice: 0.8062, decode.d0.loss_cls: 1.4241, decode.d0.loss_mask: 0.5924, decode.d0.loss_dice: 0.9231, decode.d1.loss_cls: 0.4652, decode.d1.loss_mask: 0.5726, decode.d1.loss_dice: 0.8766, decode.d2.loss_cls: 0.4124, decode.d2.loss_mask: 0.5579, decode.d2.loss_dice: 0.8404, decode.d3.loss_cls: 0.3955, decode.d3.loss_mask: 0.5488, decode.d3.loss_dice: 0.8250, decode.d4.loss_cls: 0.3936, decode.d4.loss_mask: 0.5483, decode.d4.loss_dice: 0.8186, decode.d5.loss_cls: 0.3870, decode.d5.loss_mask: 0.5467, decode.d5.loss_dice: 0.8193, decode.d6.loss_cls: 0.3823, decode.d6.loss_mask: 0.5435, decode.d6.loss_dice: 0.8069, decode.d7.loss_cls: 0.3773, decode.d7.loss_mask: 0.5443, decode.d7.loss_dice: 0.8104, decode.d8.loss_cls: 0.3822, decode.d8.loss_mask: 0.5429, decode.d8.loss_dice: 0.8032, loss: 18.8675 2022-05-01 08:36:42,836 - mmseg - INFO - Iter [31150/80000] lr: 8.768e-07, eta: 1 day, 2:26:14, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3511, decode.loss_mask: 0.5646, decode.loss_dice: 0.8078, decode.d0.loss_cls: 1.3930, decode.d0.loss_mask: 0.6125, decode.d0.loss_dice: 0.9132, decode.d1.loss_cls: 0.4321, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8745, decode.d2.loss_cls: 0.3928, decode.d2.loss_mask: 0.5745, decode.d2.loss_dice: 0.8379, decode.d3.loss_cls: 0.3717, decode.d3.loss_mask: 0.5725, decode.d3.loss_dice: 0.8212, decode.d4.loss_cls: 0.3701, decode.d4.loss_mask: 0.5712, decode.d4.loss_dice: 0.8177, decode.d5.loss_cls: 0.3590, decode.d5.loss_mask: 0.5717, decode.d5.loss_dice: 0.8108, decode.d6.loss_cls: 0.3576, decode.d6.loss_mask: 0.5662, decode.d6.loss_dice: 0.8050, decode.d7.loss_cls: 0.3541, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8075, decode.d8.loss_cls: 0.3525, decode.d8.loss_mask: 0.5646, decode.d8.loss_dice: 0.8028, loss: 18.7828 2022-05-01 08:38:16,435 - mmseg - INFO - Iter [31200/80000] lr: 8.759e-07, eta: 1 day, 2:24:31, time: 1.873, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3544, decode.loss_mask: 0.5534, decode.loss_dice: 0.8057, decode.d0.loss_cls: 1.3803, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.9222, decode.d1.loss_cls: 0.4556, decode.d1.loss_mask: 0.5816, decode.d1.loss_dice: 0.8673, decode.d2.loss_cls: 0.3993, decode.d2.loss_mask: 0.5616, decode.d2.loss_dice: 0.8357, decode.d3.loss_cls: 0.3893, decode.d3.loss_mask: 0.5541, decode.d3.loss_dice: 0.8128, decode.d4.loss_cls: 0.3733, decode.d4.loss_mask: 0.5538, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3680, decode.d5.loss_mask: 0.5544, decode.d5.loss_dice: 0.8049, decode.d6.loss_cls: 0.3660, decode.d6.loss_mask: 0.5543, decode.d6.loss_dice: 0.7949, decode.d7.loss_cls: 0.3694, decode.d7.loss_mask: 0.5544, decode.d7.loss_dice: 0.8036, decode.d8.loss_cls: 0.3538, decode.d8.loss_mask: 0.5548, decode.d8.loss_dice: 0.8006, loss: 18.6951 2022-05-01 08:39:49,581 - mmseg - INFO - Iter [31250/80000] lr: 8.750e-07, eta: 1 day, 2:22:47, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3827, decode.loss_mask: 0.5678, decode.loss_dice: 0.8090, decode.d0.loss_cls: 1.4098, decode.d0.loss_mask: 0.6227, decode.d0.loss_dice: 0.9376, decode.d1.loss_cls: 0.4775, decode.d1.loss_mask: 0.5940, decode.d1.loss_dice: 0.8794, decode.d2.loss_cls: 0.4176, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8501, decode.d3.loss_cls: 0.4016, decode.d3.loss_mask: 0.5697, decode.d3.loss_dice: 0.8268, decode.d4.loss_cls: 0.3982, decode.d4.loss_mask: 0.5718, decode.d4.loss_dice: 0.8236, decode.d5.loss_cls: 0.3943, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8214, decode.d6.loss_cls: 0.3853, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8113, decode.d7.loss_cls: 0.3839, decode.d7.loss_mask: 0.5651, decode.d7.loss_dice: 0.8144, decode.d8.loss_cls: 0.3815, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8116, loss: 19.1900 2022-05-01 08:41:23,635 - mmseg - INFO - Iter [31300/80000] lr: 8.741e-07, eta: 1 day, 2:21:04, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3475, decode.loss_mask: 0.5599, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.3643, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.9059, decode.d1.loss_cls: 0.4321, decode.d1.loss_mask: 0.5907, decode.d1.loss_dice: 0.8659, decode.d2.loss_cls: 0.3922, decode.d2.loss_mask: 0.5712, decode.d2.loss_dice: 0.8299, decode.d3.loss_cls: 0.3779, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8185, decode.d4.loss_cls: 0.3613, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8186, decode.d5.loss_cls: 0.3599, decode.d5.loss_mask: 0.5627, decode.d5.loss_dice: 0.8139, decode.d6.loss_cls: 0.3542, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3511, decode.d7.loss_mask: 0.5593, decode.d7.loss_dice: 0.8028, decode.d8.loss_cls: 0.3509, decode.d8.loss_mask: 0.5581, decode.d8.loss_dice: 0.8048, loss: 18.6563 2022-05-01 08:42:58,383 - mmseg - INFO - Iter [31350/80000] lr: 8.732e-07, eta: 1 day, 2:19:23, time: 1.895, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3694, decode.loss_mask: 0.5593, decode.loss_dice: 0.8363, decode.d0.loss_cls: 1.4117, decode.d0.loss_mask: 0.6016, decode.d0.loss_dice: 0.9484, decode.d1.loss_cls: 0.4596, decode.d1.loss_mask: 0.5892, decode.d1.loss_dice: 0.9020, decode.d2.loss_cls: 0.4136, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8682, decode.d3.loss_cls: 0.4054, decode.d3.loss_mask: 0.5632, decode.d3.loss_dice: 0.8487, decode.d4.loss_cls: 0.3901, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8521, decode.d5.loss_cls: 0.3825, decode.d5.loss_mask: 0.5617, decode.d5.loss_dice: 0.8474, decode.d6.loss_cls: 0.3733, decode.d6.loss_mask: 0.5609, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.3687, decode.d7.loss_mask: 0.5602, decode.d7.loss_dice: 0.8403, decode.d8.loss_cls: 0.3680, decode.d8.loss_mask: 0.5619, decode.d8.loss_dice: 0.8362, loss: 19.2586 2022-05-01 08:44:32,776 - mmseg - INFO - Iter [31400/80000] lr: 8.723e-07, eta: 1 day, 2:17:41, time: 1.888, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3505, decode.loss_mask: 0.5395, decode.loss_dice: 0.7846, decode.d0.loss_cls: 1.3612, decode.d0.loss_mask: 0.5861, decode.d0.loss_dice: 0.8984, decode.d1.loss_cls: 0.4385, decode.d1.loss_mask: 0.5691, decode.d1.loss_dice: 0.8451, decode.d2.loss_cls: 0.3934, decode.d2.loss_mask: 0.5533, decode.d2.loss_dice: 0.8068, decode.d3.loss_cls: 0.3775, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.7923, decode.d4.loss_cls: 0.3667, decode.d4.loss_mask: 0.5446, decode.d4.loss_dice: 0.7942, decode.d5.loss_cls: 0.3615, decode.d5.loss_mask: 0.5387, decode.d5.loss_dice: 0.7848, decode.d6.loss_cls: 0.3552, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7813, decode.d7.loss_cls: 0.3565, decode.d7.loss_mask: 0.5384, decode.d7.loss_dice: 0.7816, decode.d8.loss_cls: 0.3534, decode.d8.loss_mask: 0.5388, decode.d8.loss_dice: 0.7800, loss: 18.2553 2022-05-01 08:46:05,240 - mmseg - INFO - Iter [31450/80000] lr: 8.714e-07, eta: 1 day, 2:15:56, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3426, decode.loss_mask: 0.5746, decode.loss_dice: 0.7898, decode.d0.loss_cls: 1.3239, decode.d0.loss_mask: 0.6176, decode.d0.loss_dice: 0.9021, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5957, decode.d1.loss_dice: 0.8511, decode.d2.loss_cls: 0.3777, decode.d2.loss_mask: 0.5887, decode.d2.loss_dice: 0.8251, decode.d3.loss_cls: 0.3615, decode.d3.loss_mask: 0.5762, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3578, decode.d4.loss_mask: 0.5757, decode.d4.loss_dice: 0.8027, decode.d5.loss_cls: 0.3497, decode.d5.loss_mask: 0.5741, decode.d5.loss_dice: 0.7974, decode.d6.loss_cls: 0.3489, decode.d6.loss_mask: 0.5709, decode.d6.loss_dice: 0.7924, decode.d7.loss_cls: 0.3407, decode.d7.loss_mask: 0.5741, decode.d7.loss_dice: 0.7881, decode.d8.loss_cls: 0.3412, decode.d8.loss_mask: 0.5747, decode.d8.loss_dice: 0.7935, loss: 18.5364 2022-05-01 08:47:38,469 - mmseg - INFO - Iter [31500/80000] lr: 8.705e-07, eta: 1 day, 2:14:12, time: 1.864, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3643, decode.loss_mask: 0.5473, decode.loss_dice: 0.8056, decode.d0.loss_cls: 1.4198, decode.d0.loss_mask: 0.5907, decode.d0.loss_dice: 0.9150, decode.d1.loss_cls: 0.4567, decode.d1.loss_mask: 0.5728, decode.d1.loss_dice: 0.8660, decode.d2.loss_cls: 0.4045, decode.d2.loss_mask: 0.5593, decode.d2.loss_dice: 0.8296, decode.d3.loss_cls: 0.3966, decode.d3.loss_mask: 0.5511, decode.d3.loss_dice: 0.8154, decode.d4.loss_cls: 0.3830, decode.d4.loss_mask: 0.5504, decode.d4.loss_dice: 0.8146, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5512, decode.d5.loss_dice: 0.8153, decode.d6.loss_cls: 0.3677, decode.d6.loss_mask: 0.5483, decode.d6.loss_dice: 0.8118, decode.d7.loss_cls: 0.3680, decode.d7.loss_mask: 0.5465, decode.d7.loss_dice: 0.8096, decode.d8.loss_cls: 0.3659, decode.d8.loss_mask: 0.5463, decode.d8.loss_dice: 0.8086, loss: 18.7542 2022-05-01 08:49:12,514 - mmseg - INFO - Iter [31550/80000] lr: 8.696e-07, eta: 1 day, 2:12:29, time: 1.880, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3731, decode.loss_mask: 0.5386, decode.loss_dice: 0.8161, decode.d0.loss_cls: 1.4422, decode.d0.loss_mask: 0.5856, decode.d0.loss_dice: 0.9171, decode.d1.loss_cls: 0.4591, decode.d1.loss_mask: 0.5642, decode.d1.loss_dice: 0.8815, decode.d2.loss_cls: 0.4152, decode.d2.loss_mask: 0.5538, decode.d2.loss_dice: 0.8446, decode.d3.loss_cls: 0.4041, decode.d3.loss_mask: 0.5447, decode.d3.loss_dice: 0.8262, decode.d4.loss_cls: 0.3922, decode.d4.loss_mask: 0.5417, decode.d4.loss_dice: 0.8278, decode.d5.loss_cls: 0.3867, decode.d5.loss_mask: 0.5434, decode.d5.loss_dice: 0.8258, decode.d6.loss_cls: 0.3851, decode.d6.loss_mask: 0.5410, decode.d6.loss_dice: 0.8182, decode.d7.loss_cls: 0.3740, decode.d7.loss_mask: 0.5378, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3774, decode.d8.loss_mask: 0.5391, decode.d8.loss_dice: 0.8178, loss: 18.8924 2022-05-01 08:50:46,567 - mmseg - INFO - Iter [31600/80000] lr: 8.687e-07, eta: 1 day, 2:10:47, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3689, decode.loss_mask: 0.5540, decode.loss_dice: 0.8111, decode.d0.loss_cls: 1.4042, decode.d0.loss_mask: 0.5985, decode.d0.loss_dice: 0.9277, decode.d1.loss_cls: 0.4626, decode.d1.loss_mask: 0.5810, decode.d1.loss_dice: 0.8762, decode.d2.loss_cls: 0.4150, decode.d2.loss_mask: 0.5657, decode.d2.loss_dice: 0.8444, decode.d3.loss_cls: 0.3949, decode.d3.loss_mask: 0.5594, decode.d3.loss_dice: 0.8258, decode.d4.loss_cls: 0.3861, decode.d4.loss_mask: 0.5546, decode.d4.loss_dice: 0.8234, decode.d5.loss_cls: 0.3758, decode.d5.loss_mask: 0.5537, decode.d5.loss_dice: 0.8317, decode.d6.loss_cls: 0.3718, decode.d6.loss_mask: 0.5522, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3669, decode.d7.loss_mask: 0.5524, decode.d7.loss_dice: 0.8203, decode.d8.loss_cls: 0.3684, decode.d8.loss_mask: 0.5557, decode.d8.loss_dice: 0.8202, loss: 18.9415 2022-05-01 08:52:21,070 - mmseg - INFO - Iter [31650/80000] lr: 8.678e-07, eta: 1 day, 2:09:05, time: 1.890, data_time: 0.061, memory: 64716, decode.loss_cls: 0.3434, decode.loss_mask: 0.5633, decode.loss_dice: 0.8110, decode.d0.loss_cls: 1.3607, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9196, decode.d1.loss_cls: 0.4296, decode.d1.loss_mask: 0.5953, decode.d1.loss_dice: 0.8728, decode.d2.loss_cls: 0.3848, decode.d2.loss_mask: 0.5750, decode.d2.loss_dice: 0.8355, decode.d3.loss_cls: 0.3737, decode.d3.loss_mask: 0.5691, decode.d3.loss_dice: 0.8215, decode.d4.loss_cls: 0.3589, decode.d4.loss_mask: 0.5672, decode.d4.loss_dice: 0.8189, decode.d5.loss_cls: 0.3583, decode.d5.loss_mask: 0.5651, decode.d5.loss_dice: 0.8145, decode.d6.loss_cls: 0.3516, decode.d6.loss_mask: 0.5634, decode.d6.loss_dice: 0.8110, decode.d7.loss_cls: 0.3501, decode.d7.loss_mask: 0.5643, decode.d7.loss_dice: 0.8112, decode.d8.loss_cls: 0.3460, decode.d8.loss_mask: 0.5636, decode.d8.loss_dice: 0.8108, loss: 18.7190 2022-05-01 08:53:53,350 - mmseg - INFO - Iter [31700/80000] lr: 8.669e-07, eta: 1 day, 2:07:20, time: 1.845, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3585, decode.loss_mask: 0.5418, decode.loss_dice: 0.7985, decode.d0.loss_cls: 1.3954, decode.d0.loss_mask: 0.5900, decode.d0.loss_dice: 0.9296, decode.d1.loss_cls: 0.4508, decode.d1.loss_mask: 0.5716, decode.d1.loss_dice: 0.8705, decode.d2.loss_cls: 0.3941, decode.d2.loss_mask: 0.5557, decode.d2.loss_dice: 0.8256, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5483, decode.d3.loss_dice: 0.8132, decode.d4.loss_cls: 0.3685, decode.d4.loss_mask: 0.5479, decode.d4.loss_dice: 0.8076, decode.d5.loss_cls: 0.3604, decode.d5.loss_mask: 0.5472, decode.d5.loss_dice: 0.8041, decode.d6.loss_cls: 0.3555, decode.d6.loss_mask: 0.5426, decode.d6.loss_dice: 0.7978, decode.d7.loss_cls: 0.3572, decode.d7.loss_mask: 0.5410, decode.d7.loss_dice: 0.7974, decode.d8.loss_cls: 0.3547, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.7957, loss: 18.5403 2022-05-01 08:55:26,972 - mmseg - INFO - Iter [31750/80000] lr: 8.660e-07, eta: 1 day, 2:05:37, time: 1.873, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3421, decode.loss_mask: 0.5534, decode.loss_dice: 0.8048, decode.d0.loss_cls: 1.3822, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.9184, decode.d1.loss_cls: 0.4273, decode.d1.loss_mask: 0.5809, decode.d1.loss_dice: 0.8688, decode.d2.loss_cls: 0.3882, decode.d2.loss_mask: 0.5691, decode.d2.loss_dice: 0.8370, decode.d3.loss_cls: 0.3706, decode.d3.loss_mask: 0.5567, decode.d3.loss_dice: 0.8203, decode.d4.loss_cls: 0.3578, decode.d4.loss_mask: 0.5551, decode.d4.loss_dice: 0.8159, decode.d5.loss_cls: 0.3534, decode.d5.loss_mask: 0.5560, decode.d5.loss_dice: 0.8118, decode.d6.loss_cls: 0.3458, decode.d6.loss_mask: 0.5542, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3429, decode.d7.loss_mask: 0.5538, decode.d7.loss_dice: 0.8056, decode.d8.loss_cls: 0.3400, decode.d8.loss_mask: 0.5559, decode.d8.loss_dice: 0.8046, loss: 18.5691 2022-05-01 08:57:00,116 - mmseg - INFO - Iter [31800/80000] lr: 8.651e-07, eta: 1 day, 2:03:53, time: 1.863, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3580, decode.loss_mask: 0.5506, decode.loss_dice: 0.8195, decode.d0.loss_cls: 1.3661, decode.d0.loss_mask: 0.5968, decode.d0.loss_dice: 0.9268, decode.d1.loss_cls: 0.4472, decode.d1.loss_mask: 0.5785, decode.d1.loss_dice: 0.8782, decode.d2.loss_cls: 0.3986, decode.d2.loss_mask: 0.5644, decode.d2.loss_dice: 0.8427, decode.d3.loss_cls: 0.3802, decode.d3.loss_mask: 0.5571, decode.d3.loss_dice: 0.8272, decode.d4.loss_cls: 0.3697, decode.d4.loss_mask: 0.5539, decode.d4.loss_dice: 0.8263, decode.d5.loss_cls: 0.3633, decode.d5.loss_mask: 0.5535, decode.d5.loss_dice: 0.8282, decode.d6.loss_cls: 0.3559, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.8244, decode.d7.loss_cls: 0.3550, decode.d7.loss_mask: 0.5527, decode.d7.loss_dice: 0.8193, decode.d8.loss_cls: 0.3532, decode.d8.loss_mask: 0.5501, decode.d8.loss_dice: 0.8195, loss: 18.7687 2022-05-01 08:58:32,192 - mmseg - INFO - Iter [31850/80000] lr: 8.642e-07, eta: 1 day, 2:02:08, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3293, decode.loss_mask: 0.5616, decode.loss_dice: 0.7946, decode.d0.loss_cls: 1.3494, decode.d0.loss_mask: 0.6049, decode.d0.loss_dice: 0.8841, decode.d1.loss_cls: 0.4247, decode.d1.loss_mask: 0.5870, decode.d1.loss_dice: 0.8378, decode.d2.loss_cls: 0.3761, decode.d2.loss_mask: 0.5704, decode.d2.loss_dice: 0.8079, decode.d3.loss_cls: 0.3657, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8006, decode.d4.loss_cls: 0.3487, decode.d4.loss_mask: 0.5638, decode.d4.loss_dice: 0.8021, decode.d5.loss_cls: 0.3429, decode.d5.loss_mask: 0.5632, decode.d5.loss_dice: 0.7964, decode.d6.loss_cls: 0.3380, decode.d6.loss_mask: 0.5598, decode.d6.loss_dice: 0.7963, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5626, decode.d7.loss_dice: 0.7938, decode.d8.loss_cls: 0.3260, decode.d8.loss_mask: 0.5623, decode.d8.loss_dice: 0.7929, loss: 18.3401 2022-05-01 09:00:05,977 - mmseg - INFO - Iter [31900/80000] lr: 8.633e-07, eta: 1 day, 2:00:25, time: 1.876, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3449, decode.loss_mask: 0.5425, decode.loss_dice: 0.8021, decode.d0.loss_cls: 1.3754, decode.d0.loss_mask: 0.5911, decode.d0.loss_dice: 0.9068, decode.d1.loss_cls: 0.4385, decode.d1.loss_mask: 0.5708, decode.d1.loss_dice: 0.8624, decode.d2.loss_cls: 0.3885, decode.d2.loss_mask: 0.5548, decode.d2.loss_dice: 0.8285, decode.d3.loss_cls: 0.3701, decode.d3.loss_mask: 0.5475, decode.d3.loss_dice: 0.8185, decode.d4.loss_cls: 0.3537, decode.d4.loss_mask: 0.5474, decode.d4.loss_dice: 0.8163, decode.d5.loss_cls: 0.3573, decode.d5.loss_mask: 0.5444, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3429, decode.d6.loss_mask: 0.5416, decode.d6.loss_dice: 0.8044, decode.d7.loss_cls: 0.3380, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.8048, decode.d8.loss_cls: 0.3465, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.8073, loss: 18.4377 2022-05-01 09:01:38,782 - mmseg - INFO - Iter [31950/80000] lr: 8.624e-07, eta: 1 day, 1:58:41, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3543, decode.loss_mask: 0.5643, decode.loss_dice: 0.8206, decode.d0.loss_cls: 1.3984, decode.d0.loss_mask: 0.6146, decode.d0.loss_dice: 0.9309, decode.d1.loss_cls: 0.4471, decode.d1.loss_mask: 0.5866, decode.d1.loss_dice: 0.8829, decode.d2.loss_cls: 0.3962, decode.d2.loss_mask: 0.5699, decode.d2.loss_dice: 0.8433, decode.d3.loss_cls: 0.3792, decode.d3.loss_mask: 0.5695, decode.d3.loss_dice: 0.8308, decode.d4.loss_cls: 0.3654, decode.d4.loss_mask: 0.5661, decode.d4.loss_dice: 0.8346, decode.d5.loss_cls: 0.3644, decode.d5.loss_mask: 0.5669, decode.d5.loss_dice: 0.8265, decode.d6.loss_cls: 0.3581, decode.d6.loss_mask: 0.5651, decode.d6.loss_dice: 0.8220, decode.d7.loss_cls: 0.3528, decode.d7.loss_mask: 0.5625, decode.d7.loss_dice: 0.8251, decode.d8.loss_cls: 0.3568, decode.d8.loss_mask: 0.5617, decode.d8.loss_dice: 0.8235, loss: 18.9400 2022-05-01 09:03:11,247 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-05-01 09:03:45,201 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 09:03:45,215 - mmseg - INFO - Iter [32000/80000] lr: 8.615e-07, eta: 1 day, 1:57:47, time: 2.526, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3419, decode.loss_mask: 0.5646, decode.loss_dice: 0.8039, decode.d0.loss_cls: 1.3824, decode.d0.loss_mask: 0.6116, decode.d0.loss_dice: 0.9064, decode.d1.loss_cls: 0.4288, decode.d1.loss_mask: 0.5862, decode.d1.loss_dice: 0.8551, decode.d2.loss_cls: 0.3860, decode.d2.loss_mask: 0.5737, decode.d2.loss_dice: 0.8271, decode.d3.loss_cls: 0.3656, decode.d3.loss_mask: 0.5674, decode.d3.loss_dice: 0.8113, decode.d4.loss_cls: 0.3544, decode.d4.loss_mask: 0.5673, decode.d4.loss_dice: 0.8170, decode.d5.loss_cls: 0.3440, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8102, decode.d6.loss_cls: 0.3379, decode.d6.loss_mask: 0.5621, decode.d6.loss_dice: 0.8040, decode.d7.loss_cls: 0.3417, decode.d7.loss_mask: 0.5622, decode.d7.loss_dice: 0.8044, decode.d8.loss_cls: 0.3446, decode.d8.loss_mask: 0.5651, decode.d8.loss_dice: 0.8048, loss: 18.5981 2022-05-01 09:05:46,695 - mmseg - INFO - per class results: 2022-05-01 09:05:46,709 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.34 | 90.29 | | building | 85.31 | 91.58 | | sky | 95.2 | 97.5 | | floor | 85.89 | 92.07 | | tree | 78.45 | 89.48 | | ceiling | 88.61 | 94.4 | | road | 87.18 | 93.42 | | bed | 93.06 | 97.32 | | windowpane | 66.59 | 81.63 | | grass | 71.4 | 84.47 | | cabinet | 66.3 | 81.6 | | sidewalk | 71.25 | 80.53 | | person | 88.15 | 94.0 | | earth | 44.12 | 54.39 | | door | 59.19 | 76.81 | | table | 69.82 | 82.66 | | mountain | 63.84 | 77.52 | | plant | 58.66 | 70.57 | | curtain | 81.23 | 89.34 | | chair | 67.19 | 78.41 | | car | 88.94 | 95.39 | | water | 61.73 | 80.22 | | painting | 77.61 | 90.09 | | sofa | 81.04 | 91.42 | | shelf | 45.1 | 54.63 | | house | 51.73 | 72.74 | | sea | 74.94 | 88.76 | | mirror | 76.76 | 86.69 | | rug | 70.35 | 84.14 | | field | 31.91 | 57.0 | | armchair | 55.32 | 71.08 | | seat | 68.39 | 90.07 | | fence | 53.96 | 72.73 | | desk | 52.86 | 75.64 | | rock | 56.76 | 76.77 | | wardrobe | 59.29 | 66.5 | | lamp | 76.6 | 87.22 | | bathtub | 88.36 | 89.73 | | railing | 45.86 | 63.89 | | cushion | 72.52 | 86.2 | | base | 47.31 | 63.31 | | box | 41.1 | 60.1 | | column | 57.0 | 72.41 | | signboard | 43.79 | 64.88 | | chest of drawers | 42.45 | 65.43 | | counter | 51.96 | 62.46 | | sand | 61.46 | 88.76 | | sink | 81.6 | 86.08 | | skyscraper | 50.36 | 67.27 | | fireplace | 82.0 | 93.08 | | refrigerator | 83.46 | 88.89 | | grandstand | 52.31 | 79.54 | | path | 29.11 | 41.56 | | stairs | 41.75 | 51.43 | | runway | 76.39 | 97.66 | | case | 64.58 | 80.26 | | pool table | 95.59 | 97.98 | | pillow | 66.92 | 74.8 | | screen door | 60.5 | 66.86 | | stairway | 45.15 | 67.95 | | river | 17.93 | 31.08 | | bridge | 79.29 | 88.6 | | bookcase | 31.27 | 48.24 | | blind | 40.76 | 47.29 | | coffee table | 71.52 | 86.77 | | toilet | 91.42 | 94.77 | | flower | 48.94 | 65.74 | | book | 57.55 | 81.08 | | hill | 8.33 | 12.74 | | bench | 58.19 | 66.13 | | countertop | 69.66 | 78.6 | | stove | 85.46 | 89.93 | | palm | 57.95 | 83.06 | | kitchen island | 56.33 | 77.61 | | computer | 84.0 | 91.35 | | swivel chair | 54.52 | 74.63 | | boat | 62.61 | 92.52 | | bar | 62.54 | 70.29 | | arcade machine | 35.6 | 37.99 | | hovel | 37.1 | 48.57 | | bus | 93.9 | 95.83 | | towel | 78.33 | 92.64 | | light | 65.17 | 82.41 | | truck | 47.92 | 61.92 | | tower | 12.82 | 22.55 | | chandelier | 73.22 | 89.16 | | awning | 39.71 | 49.96 | | streetlight | 45.2 | 64.83 | | booth | 47.19 | 63.15 | | television receiver | 81.66 | 91.22 | | airplane | 70.28 | 75.98 | | dirt track | 19.58 | 64.35 | | apparel | 55.6 | 90.46 | | pole | 39.32 | 57.63 | | land | 0.2 | 0.4 | | bannister | 20.96 | 33.13 | | escalator | 63.41 | 78.47 | | ottoman | 53.11 | 75.75 | | bottle | 35.7 | 43.62 | | buffet | 51.41 | 62.09 | | poster | 40.27 | 51.09 | | stage | 17.39 | 32.27 | | van | 46.59 | 64.75 | | ship | 78.04 | 87.53 | | fountain | 24.61 | 25.14 | | conveyer belt | 66.82 | 95.16 | | canopy | 59.06 | 70.4 | | washer | 90.16 | 95.54 | | plaything | 36.04 | 51.94 | | swimming pool | 63.12 | 73.95 | | stool | 56.41 | 75.17 | | barrel | 83.48 | 97.61 | | basket | 39.94 | 63.17 | | waterfall | 62.74 | 80.79 | | tent | 92.28 | 97.71 | | bag | 32.54 | 41.4 | | minibike | 78.49 | 91.89 | | cradle | 91.01 | 97.42 | | oven | 64.78 | 79.16 | | ball | 73.61 | 85.3 | | food | 72.33 | 83.98 | | step | 20.6 | 29.58 | | tank | 47.92 | 55.3 | | trade name | 31.49 | 38.56 | | microwave | 91.53 | 96.42 | | pot | 56.97 | 68.15 | | animal | 78.96 | 81.67 | | bicycle | 61.28 | 81.63 | | lake | 9.48 | 9.49 | | dishwasher | 65.7 | 85.57 | | screen | 33.57 | 42.24 | | blanket | 30.48 | 41.88 | | sculpture | 79.64 | 88.67 | | hood | 63.07 | 77.47 | | sconce | 63.78 | 74.5 | | vase | 56.57 | 78.45 | | traffic light | 51.98 | 71.38 | | tray | 28.91 | 38.39 | | ashcan | 52.0 | 75.59 | | fan | 70.89 | 85.46 | | pier | 67.91 | 85.78 | | crt screen | 8.98 | 41.34 | | plate | 66.49 | 84.56 | | monitor | 10.84 | 13.77 | | bulletin board | 37.13 | 70.33 | | shower | 4.61 | 26.16 | | radiator | 68.6 | 87.81 | | glass | 26.5 | 30.14 | | clock | 55.26 | 67.18 | | flag | 75.11 | 87.07 | +---------------------+-------+-------+ 2022-05-01 09:05:46,709 - mmseg - INFO - Summary: 2022-05-01 09:05:46,709 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 86.58 | 58.4 | 71.79 | +-------+------+-------+ 2022-05-01 09:05:46,715 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_24000.pth was removed 2022-05-01 09:06:04,898 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2022-05-01 09:06:04,915 - mmseg - INFO - Best mIoU is 0.5840 at 32000 iter. 2022-05-01 09:06:04,942 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 09:06:04,943 - mmseg - INFO - Iter(val) [125] aAcc: 0.8658, mIoU: 0.5840, mAcc: 0.7179, IoU.wall: 0.8234, IoU.building: 0.8531, IoU.sky: 0.9520, IoU.floor: 0.8589, IoU.tree: 0.7845, IoU.ceiling: 0.8861, IoU.road: 0.8718, IoU.bed : 0.9306, IoU.windowpane: 0.6659, IoU.grass: 0.7140, IoU.cabinet: 0.6630, IoU.sidewalk: 0.7125, IoU.person: 0.8815, IoU.earth: 0.4412, IoU.door: 0.5919, IoU.table: 0.6982, IoU.mountain: 0.6384, IoU.plant: 0.5866, IoU.curtain: 0.8123, IoU.chair: 0.6719, IoU.car: 0.8894, IoU.water: 0.6173, IoU.painting: 0.7761, IoU.sofa: 0.8104, IoU.shelf: 0.4510, IoU.house: 0.5173, IoU.sea: 0.7494, IoU.mirror: 0.7676, IoU.rug: 0.7035, IoU.field: 0.3191, IoU.armchair: 0.5532, IoU.seat: 0.6839, IoU.fence: 0.5396, IoU.desk: 0.5286, IoU.rock: 0.5676, IoU.wardrobe: 0.5929, IoU.lamp: 0.7660, IoU.bathtub: 0.8836, IoU.railing: 0.4586, IoU.cushion: 0.7252, IoU.base: 0.4731, IoU.box: 0.4110, IoU.column: 0.5700, IoU.signboard: 0.4379, IoU.chest of drawers: 0.4245, IoU.counter: 0.5196, IoU.sand: 0.6146, IoU.sink: 0.8160, IoU.skyscraper: 0.5036, IoU.fireplace: 0.8200, IoU.refrigerator: 0.8346, IoU.grandstand: 0.5231, IoU.path: 0.2911, IoU.stairs: 0.4175, IoU.runway: 0.7639, IoU.case: 0.6458, IoU.pool table: 0.9559, IoU.pillow: 0.6692, IoU.screen door: 0.6050, IoU.stairway: 0.4515, IoU.river: 0.1793, IoU.bridge: 0.7929, IoU.bookcase: 0.3127, IoU.blind: 0.4076, IoU.coffee table: 0.7152, IoU.toilet: 0.9142, IoU.flower: 0.4894, IoU.book: 0.5755, IoU.hill: 0.0833, IoU.bench: 0.5819, IoU.countertop: 0.6966, IoU.stove: 0.8546, IoU.palm: 0.5795, IoU.kitchen island: 0.5633, IoU.computer: 0.8400, IoU.swivel chair: 0.5452, IoU.boat: 0.6261, IoU.bar: 0.6254, IoU.arcade machine: 0.3560, IoU.hovel: 0.3710, IoU.bus: 0.9390, IoU.towel: 0.7833, IoU.light: 0.6517, IoU.truck: 0.4792, IoU.tower: 0.1282, IoU.chandelier: 0.7322, IoU.awning: 0.3971, IoU.streetlight: 0.4520, IoU.booth: 0.4719, IoU.television receiver: 0.8166, IoU.airplane: 0.7028, IoU.dirt track: 0.1958, IoU.apparel: 0.5560, IoU.pole: 0.3932, IoU.land: 0.0020, IoU.bannister: 0.2096, IoU.escalator: 0.6341, IoU.ottoman: 0.5311, IoU.bottle: 0.3570, IoU.buffet: 0.5141, IoU.poster: 0.4027, IoU.stage: 0.1739, IoU.van: 0.4659, IoU.ship: 0.7804, IoU.fountain: 0.2461, IoU.conveyer belt: 0.6682, IoU.canopy: 0.5906, IoU.washer: 0.9016, IoU.plaything: 0.3604, IoU.swimming pool: 0.6312, IoU.stool: 0.5641, IoU.barrel: 0.8348, IoU.basket: 0.3994, IoU.waterfall: 0.6274, IoU.tent: 0.9228, IoU.bag: 0.3254, IoU.minibike: 0.7849, IoU.cradle: 0.9101, IoU.oven: 0.6478, IoU.ball: 0.7361, IoU.food: 0.7233, IoU.step: 0.2060, IoU.tank: 0.4792, IoU.trade name: 0.3149, IoU.microwave: 0.9153, IoU.pot: 0.5697, IoU.animal: 0.7896, IoU.bicycle: 0.6128, IoU.lake: 0.0948, IoU.dishwasher: 0.6570, IoU.screen: 0.3357, IoU.blanket: 0.3048, IoU.sculpture: 0.7964, IoU.hood: 0.6307, IoU.sconce: 0.6378, IoU.vase: 0.5657, IoU.traffic light: 0.5198, IoU.tray: 0.2891, IoU.ashcan: 0.5200, IoU.fan: 0.7089, IoU.pier: 0.6791, IoU.crt screen: 0.0898, IoU.plate: 0.6649, IoU.monitor: 0.1084, IoU.bulletin board: 0.3713, IoU.shower: 0.0461, IoU.radiator: 0.6860, IoU.glass: 0.2650, IoU.clock: 0.5526, IoU.flag: 0.7511, Acc.wall: 0.9029, Acc.building: 0.9158, Acc.sky: 0.9750, Acc.floor: 0.9207, Acc.tree: 0.8948, Acc.ceiling: 0.9440, Acc.road: 0.9342, Acc.bed : 0.9732, Acc.windowpane: 0.8163, Acc.grass: 0.8447, Acc.cabinet: 0.8160, Acc.sidewalk: 0.8053, Acc.person: 0.9400, Acc.earth: 0.5439, Acc.door: 0.7681, Acc.table: 0.8266, Acc.mountain: 0.7752, Acc.plant: 0.7057, Acc.curtain: 0.8934, Acc.chair: 0.7841, Acc.car: 0.9539, Acc.water: 0.8022, Acc.painting: 0.9009, Acc.sofa: 0.9142, Acc.shelf: 0.5463, Acc.house: 0.7274, Acc.sea: 0.8876, Acc.mirror: 0.8669, Acc.rug: 0.8414, Acc.field: 0.5700, Acc.armchair: 0.7108, Acc.seat: 0.9007, Acc.fence: 0.7273, Acc.desk: 0.7564, Acc.rock: 0.7677, Acc.wardrobe: 0.6650, Acc.lamp: 0.8722, Acc.bathtub: 0.8973, Acc.railing: 0.6389, Acc.cushion: 0.8620, Acc.base: 0.6331, Acc.box: 0.6010, Acc.column: 0.7241, Acc.signboard: 0.6488, Acc.chest of drawers: 0.6543, Acc.counter: 0.6246, Acc.sand: 0.8876, Acc.sink: 0.8608, Acc.skyscraper: 0.6727, Acc.fireplace: 0.9308, Acc.refrigerator: 0.8889, Acc.grandstand: 0.7954, Acc.path: 0.4156, Acc.stairs: 0.5143, Acc.runway: 0.9766, Acc.case: 0.8026, Acc.pool table: 0.9798, Acc.pillow: 0.7480, Acc.screen door: 0.6686, Acc.stairway: 0.6795, Acc.river: 0.3108, Acc.bridge: 0.8860, Acc.bookcase: 0.4824, Acc.blind: 0.4729, Acc.coffee table: 0.8677, Acc.toilet: 0.9477, Acc.flower: 0.6574, Acc.book: 0.8108, Acc.hill: 0.1274, Acc.bench: 0.6613, Acc.countertop: 0.7860, Acc.stove: 0.8993, Acc.palm: 0.8306, Acc.kitchen island: 0.7761, Acc.computer: 0.9135, Acc.swivel chair: 0.7463, Acc.boat: 0.9252, Acc.bar: 0.7029, Acc.arcade machine: 0.3799, Acc.hovel: 0.4857, Acc.bus: 0.9583, Acc.towel: 0.9264, Acc.light: 0.8241, Acc.truck: 0.6192, Acc.tower: 0.2255, Acc.chandelier: 0.8916, Acc.awning: 0.4996, Acc.streetlight: 0.6483, Acc.booth: 0.6315, Acc.television receiver: 0.9122, Acc.airplane: 0.7598, Acc.dirt track: 0.6435, Acc.apparel: 0.9046, Acc.pole: 0.5763, Acc.land: 0.0040, Acc.bannister: 0.3313, Acc.escalator: 0.7847, Acc.ottoman: 0.7575, Acc.bottle: 0.4362, Acc.buffet: 0.6209, Acc.poster: 0.5109, Acc.stage: 0.3227, Acc.van: 0.6475, Acc.ship: 0.8753, Acc.fountain: 0.2514, Acc.conveyer belt: 0.9516, Acc.canopy: 0.7040, Acc.washer: 0.9554, Acc.plaything: 0.5194, Acc.swimming pool: 0.7395, Acc.stool: 0.7517, Acc.barrel: 0.9761, Acc.basket: 0.6317, Acc.waterfall: 0.8079, Acc.tent: 0.9771, Acc.bag: 0.4140, Acc.minibike: 0.9189, Acc.cradle: 0.9742, Acc.oven: 0.7916, Acc.ball: 0.8530, Acc.food: 0.8398, Acc.step: 0.2958, Acc.tank: 0.5530, Acc.trade name: 0.3856, Acc.microwave: 0.9642, Acc.pot: 0.6815, Acc.animal: 0.8167, Acc.bicycle: 0.8163, Acc.lake: 0.0949, Acc.dishwasher: 0.8557, Acc.screen: 0.4224, Acc.blanket: 0.4188, Acc.sculpture: 0.8867, Acc.hood: 0.7747, Acc.sconce: 0.7450, Acc.vase: 0.7845, Acc.traffic light: 0.7138, Acc.tray: 0.3839, Acc.ashcan: 0.7559, Acc.fan: 0.8546, Acc.pier: 0.8578, Acc.crt screen: 0.4134, Acc.plate: 0.8456, Acc.monitor: 0.1377, Acc.bulletin board: 0.7033, Acc.shower: 0.2616, Acc.radiator: 0.8781, Acc.glass: 0.3014, Acc.clock: 0.6718, Acc.flag: 0.8707 2022-05-01 09:07:37,667 - mmseg - INFO - Iter [32050/80000] lr: 8.606e-07, eta: 1 day, 1:59:32, time: 4.653, data_time: 2.814, memory: 64716, decode.loss_cls: 0.3394, decode.loss_mask: 0.5674, decode.loss_dice: 0.8226, decode.d0.loss_cls: 1.3526, decode.d0.loss_mask: 0.6133, decode.d0.loss_dice: 0.9291, decode.d1.loss_cls: 0.4344, decode.d1.loss_mask: 0.5919, decode.d1.loss_dice: 0.8802, decode.d2.loss_cls: 0.3812, decode.d2.loss_mask: 0.5791, decode.d2.loss_dice: 0.8458, decode.d3.loss_cls: 0.3640, decode.d3.loss_mask: 0.5723, decode.d3.loss_dice: 0.8359, decode.d4.loss_cls: 0.3587, decode.d4.loss_mask: 0.5722, decode.d4.loss_dice: 0.8302, decode.d5.loss_cls: 0.3536, decode.d5.loss_mask: 0.5684, decode.d5.loss_dice: 0.8290, decode.d6.loss_cls: 0.3441, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8259, decode.d7.loss_cls: 0.3441, decode.d7.loss_mask: 0.5704, decode.d7.loss_dice: 0.8261, decode.d8.loss_cls: 0.3426, decode.d8.loss_mask: 0.5675, decode.d8.loss_dice: 0.8242, loss: 18.8335 2022-05-01 09:09:09,809 - mmseg - INFO - Iter [32100/80000] lr: 8.597e-07, eta: 1 day, 1:57:47, time: 1.843, data_time: 0.013, memory: 64716, decode.loss_cls: 0.3476, decode.loss_mask: 0.5437, decode.loss_dice: 0.8070, decode.d0.loss_cls: 1.4035, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.9283, decode.d1.loss_cls: 0.4409, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8712, decode.d2.loss_cls: 0.3852, decode.d2.loss_mask: 0.5564, decode.d2.loss_dice: 0.8358, decode.d3.loss_cls: 0.3691, decode.d3.loss_mask: 0.5522, decode.d3.loss_dice: 0.8178, decode.d4.loss_cls: 0.3579, decode.d4.loss_mask: 0.5512, decode.d4.loss_dice: 0.8174, decode.d5.loss_cls: 0.3597, decode.d5.loss_mask: 0.5474, decode.d5.loss_dice: 0.8105, decode.d6.loss_cls: 0.3556, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.8072, decode.d7.loss_cls: 0.3493, decode.d7.loss_mask: 0.5471, decode.d7.loss_dice: 0.8088, decode.d8.loss_cls: 0.3443, decode.d8.loss_mask: 0.5460, decode.d8.loss_dice: 0.8083, loss: 18.5708 2022-05-01 09:10:42,651 - mmseg - INFO - Iter [32150/80000] lr: 8.588e-07, eta: 1 day, 1:56:02, time: 1.857, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3466, decode.loss_mask: 0.5632, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.3693, decode.d0.loss_mask: 0.6104, decode.d0.loss_dice: 0.9265, decode.d1.loss_cls: 0.4312, decode.d1.loss_mask: 0.5945, decode.d1.loss_dice: 0.8680, decode.d2.loss_cls: 0.3913, decode.d2.loss_mask: 0.5745, decode.d2.loss_dice: 0.8338, decode.d3.loss_cls: 0.3731, decode.d3.loss_mask: 0.5673, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3598, decode.d4.loss_mask: 0.5667, decode.d4.loss_dice: 0.8197, decode.d5.loss_cls: 0.3611, decode.d5.loss_mask: 0.5624, decode.d5.loss_dice: 0.8159, decode.d6.loss_cls: 0.3541, decode.d6.loss_mask: 0.5611, decode.d6.loss_dice: 0.8101, decode.d7.loss_cls: 0.3507, decode.d7.loss_mask: 0.5630, decode.d7.loss_dice: 0.8156, decode.d8.loss_cls: 0.3496, decode.d8.loss_mask: 0.5603, decode.d8.loss_dice: 0.8121, loss: 18.7405 2022-05-01 09:12:14,400 - mmseg - INFO - Iter [32200/80000] lr: 8.579e-07, eta: 1 day, 1:54:16, time: 1.835, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3421, decode.loss_mask: 0.5406, decode.loss_dice: 0.7832, decode.d0.loss_cls: 1.3399, decode.d0.loss_mask: 0.5854, decode.d0.loss_dice: 0.8998, decode.d1.loss_cls: 0.4234, decode.d1.loss_mask: 0.5659, decode.d1.loss_dice: 0.8422, decode.d2.loss_cls: 0.3752, decode.d2.loss_mask: 0.5493, decode.d2.loss_dice: 0.8087, decode.d3.loss_cls: 0.3581, decode.d3.loss_mask: 0.5429, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3535, decode.d4.loss_mask: 0.5402, decode.d4.loss_dice: 0.7963, decode.d5.loss_cls: 0.3479, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.7937, decode.d6.loss_cls: 0.3409, decode.d6.loss_mask: 0.5422, decode.d6.loss_dice: 0.7927, decode.d7.loss_cls: 0.3390, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3412, decode.d8.loss_mask: 0.5404, decode.d8.loss_dice: 0.7832, loss: 18.1337 2022-05-01 09:13:47,526 - mmseg - INFO - Iter [32250/80000] lr: 8.570e-07, eta: 1 day, 1:52:32, time: 1.862, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3382, decode.loss_mask: 0.5413, decode.loss_dice: 0.7880, decode.d0.loss_cls: 1.3864, decode.d0.loss_mask: 0.5918, decode.d0.loss_dice: 0.9036, decode.d1.loss_cls: 0.4245, decode.d1.loss_mask: 0.5677, decode.d1.loss_dice: 0.8559, decode.d2.loss_cls: 0.3893, decode.d2.loss_mask: 0.5514, decode.d2.loss_dice: 0.8184, decode.d3.loss_cls: 0.3667, decode.d3.loss_mask: 0.5505, decode.d3.loss_dice: 0.7998, decode.d4.loss_cls: 0.3589, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.7990, decode.d5.loss_cls: 0.3469, decode.d5.loss_mask: 0.5454, decode.d5.loss_dice: 0.8003, decode.d6.loss_cls: 0.3406, decode.d6.loss_mask: 0.5441, decode.d6.loss_dice: 0.7947, decode.d7.loss_cls: 0.3395, decode.d7.loss_mask: 0.5424, decode.d7.loss_dice: 0.7968, decode.d8.loss_cls: 0.3363, decode.d8.loss_mask: 0.5423, decode.d8.loss_dice: 0.7953, loss: 18.3031 2022-05-01 09:15:19,745 - mmseg - INFO - Iter [32300/80000] lr: 8.561e-07, eta: 1 day, 1:50:46, time: 1.844, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3433, decode.loss_mask: 0.5465, decode.loss_dice: 0.8063, decode.d0.loss_cls: 1.3674, decode.d0.loss_mask: 0.5910, decode.d0.loss_dice: 0.9097, decode.d1.loss_cls: 0.4381, decode.d1.loss_mask: 0.5723, decode.d1.loss_dice: 0.8584, decode.d2.loss_cls: 0.3898, decode.d2.loss_mask: 0.5558, decode.d2.loss_dice: 0.8289, decode.d3.loss_cls: 0.3733, decode.d3.loss_mask: 0.5506, decode.d3.loss_dice: 0.8146, decode.d4.loss_cls: 0.3610, decode.d4.loss_mask: 0.5482, decode.d4.loss_dice: 0.8149, decode.d5.loss_cls: 0.3533, decode.d5.loss_mask: 0.5469, decode.d5.loss_dice: 0.8114, decode.d6.loss_cls: 0.3495, decode.d6.loss_mask: 0.5471, decode.d6.loss_dice: 0.8045, decode.d7.loss_cls: 0.3408, decode.d7.loss_mask: 0.5478, decode.d7.loss_dice: 0.8112, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5478, decode.d8.loss_dice: 0.8128, loss: 18.4824 2022-05-01 09:16:52,874 - mmseg - INFO - Iter [32350/80000] lr: 8.552e-07, eta: 1 day, 1:49:02, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3340, decode.loss_mask: 0.5550, decode.loss_dice: 0.7980, decode.d0.loss_cls: 1.3690, decode.d0.loss_mask: 0.6047, decode.d0.loss_dice: 0.8981, decode.d1.loss_cls: 0.4152, decode.d1.loss_mask: 0.5847, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.3716, decode.d2.loss_mask: 0.5719, decode.d2.loss_dice: 0.8230, decode.d3.loss_cls: 0.3601, decode.d3.loss_mask: 0.5603, decode.d3.loss_dice: 0.8105, decode.d4.loss_cls: 0.3506, decode.d4.loss_mask: 0.5597, decode.d4.loss_dice: 0.8090, decode.d5.loss_cls: 0.3472, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8075, decode.d6.loss_cls: 0.3353, decode.d6.loss_mask: 0.5608, decode.d6.loss_dice: 0.8031, decode.d7.loss_cls: 0.3388, decode.d7.loss_mask: 0.5586, decode.d7.loss_dice: 0.7961, decode.d8.loss_cls: 0.3373, decode.d8.loss_mask: 0.5574, decode.d8.loss_dice: 0.7996, loss: 18.4356 2022-05-01 09:18:25,353 - mmseg - INFO - Iter [32400/80000] lr: 8.543e-07, eta: 1 day, 1:47:18, time: 1.850, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3577, decode.loss_mask: 0.5356, decode.loss_dice: 0.7960, decode.d0.loss_cls: 1.3844, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9072, decode.d1.loss_cls: 0.4420, decode.d1.loss_mask: 0.5643, decode.d1.loss_dice: 0.8437, decode.d2.loss_cls: 0.3945, decode.d2.loss_mask: 0.5437, decode.d2.loss_dice: 0.8110, decode.d3.loss_cls: 0.3791, decode.d3.loss_mask: 0.5413, decode.d3.loss_dice: 0.8075, decode.d4.loss_cls: 0.3679, decode.d4.loss_mask: 0.5392, decode.d4.loss_dice: 0.8089, decode.d5.loss_cls: 0.3614, decode.d5.loss_mask: 0.5383, decode.d5.loss_dice: 0.8028, decode.d6.loss_cls: 0.3594, decode.d6.loss_mask: 0.5375, decode.d6.loss_dice: 0.7956, decode.d7.loss_cls: 0.3554, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7967, decode.d8.loss_cls: 0.3565, decode.d8.loss_mask: 0.5369, decode.d8.loss_dice: 0.7947, loss: 18.3868 2022-05-01 09:19:57,545 - mmseg - INFO - Iter [32450/80000] lr: 8.534e-07, eta: 1 day, 1:45:32, time: 1.844, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3396, decode.loss_mask: 0.5585, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.3407, decode.d0.loss_mask: 0.6062, decode.d0.loss_dice: 0.9237, decode.d1.loss_cls: 0.4365, decode.d1.loss_mask: 0.5811, decode.d1.loss_dice: 0.8685, decode.d2.loss_cls: 0.3865, decode.d2.loss_mask: 0.5706, decode.d2.loss_dice: 0.8408, decode.d3.loss_cls: 0.3659, decode.d3.loss_mask: 0.5633, decode.d3.loss_dice: 0.8254, decode.d4.loss_cls: 0.3595, decode.d4.loss_mask: 0.5589, decode.d4.loss_dice: 0.8219, decode.d5.loss_cls: 0.3522, decode.d5.loss_mask: 0.5610, decode.d5.loss_dice: 0.8226, decode.d6.loss_cls: 0.3430, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.8176, decode.d7.loss_cls: 0.3427, decode.d7.loss_mask: 0.5567, decode.d7.loss_dice: 0.8217, decode.d8.loss_cls: 0.3371, decode.d8.loss_mask: 0.5577, decode.d8.loss_dice: 0.8160, loss: 18.6448 2022-05-01 09:21:30,332 - mmseg - INFO - Iter [32500/80000] lr: 8.525e-07, eta: 1 day, 1:43:48, time: 1.854, data_time: 0.013, memory: 64716, decode.loss_cls: 0.3545, decode.loss_mask: 0.5484, decode.loss_dice: 0.7811, decode.d0.loss_cls: 1.4087, decode.d0.loss_mask: 0.5998, decode.d0.loss_dice: 0.9007, decode.d1.loss_cls: 0.4457, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8534, decode.d2.loss_cls: 0.3956, decode.d2.loss_mask: 0.5610, decode.d2.loss_dice: 0.8108, decode.d3.loss_cls: 0.3767, decode.d3.loss_mask: 0.5545, decode.d3.loss_dice: 0.7948, decode.d4.loss_cls: 0.3712, decode.d4.loss_mask: 0.5517, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.3683, decode.d5.loss_mask: 0.5499, decode.d5.loss_dice: 0.7920, decode.d6.loss_cls: 0.3601, decode.d6.loss_mask: 0.5502, decode.d6.loss_dice: 0.7845, decode.d7.loss_cls: 0.3571, decode.d7.loss_mask: 0.5502, decode.d7.loss_dice: 0.7891, decode.d8.loss_cls: 0.3516, decode.d8.loss_mask: 0.5504, decode.d8.loss_dice: 0.7825, loss: 18.4626 2022-05-01 09:23:02,641 - mmseg - INFO - Iter [32550/80000] lr: 8.516e-07, eta: 1 day, 1:42:03, time: 1.848, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3653, decode.loss_mask: 0.5573, decode.loss_dice: 0.8214, decode.d0.loss_cls: 1.3586, decode.d0.loss_mask: 0.6121, decode.d0.loss_dice: 0.9414, decode.d1.loss_cls: 0.4424, decode.d1.loss_mask: 0.5811, decode.d1.loss_dice: 0.8939, decode.d2.loss_cls: 0.3932, decode.d2.loss_mask: 0.5709, decode.d2.loss_dice: 0.8514, decode.d3.loss_cls: 0.3823, decode.d3.loss_mask: 0.5660, decode.d3.loss_dice: 0.8327, decode.d4.loss_cls: 0.3695, decode.d4.loss_mask: 0.5633, decode.d4.loss_dice: 0.8377, decode.d5.loss_cls: 0.3688, decode.d5.loss_mask: 0.5635, decode.d5.loss_dice: 0.8375, decode.d6.loss_cls: 0.3663, decode.d6.loss_mask: 0.5578, decode.d6.loss_dice: 0.8190, decode.d7.loss_cls: 0.3626, decode.d7.loss_mask: 0.5550, decode.d7.loss_dice: 0.8247, decode.d8.loss_cls: 0.3627, decode.d8.loss_mask: 0.5570, decode.d8.loss_dice: 0.8274, loss: 18.9428 2022-05-01 09:24:36,914 - mmseg - INFO - Iter [32600/80000] lr: 8.507e-07, eta: 1 day, 1:40:20, time: 1.884, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3597, decode.loss_mask: 0.5561, decode.loss_dice: 0.8097, decode.d0.loss_cls: 1.3683, decode.d0.loss_mask: 0.6040, decode.d0.loss_dice: 0.9221, decode.d1.loss_cls: 0.4434, decode.d1.loss_mask: 0.5854, decode.d1.loss_dice: 0.8690, decode.d2.loss_cls: 0.3952, decode.d2.loss_mask: 0.5722, decode.d2.loss_dice: 0.8431, decode.d3.loss_cls: 0.3780, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8256, decode.d4.loss_cls: 0.3669, decode.d4.loss_mask: 0.5602, decode.d4.loss_dice: 0.8220, decode.d5.loss_cls: 0.3684, decode.d5.loss_mask: 0.5599, decode.d5.loss_dice: 0.8224, decode.d6.loss_cls: 0.3554, decode.d6.loss_mask: 0.5578, decode.d6.loss_dice: 0.8155, decode.d7.loss_cls: 0.3566, decode.d7.loss_mask: 0.5562, decode.d7.loss_dice: 0.8141, decode.d8.loss_cls: 0.3575, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8088, loss: 18.7727 2022-05-01 09:26:12,315 - mmseg - INFO - Iter [32650/80000] lr: 8.498e-07, eta: 1 day, 1:38:40, time: 1.908, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3357, decode.loss_mask: 0.5541, decode.loss_dice: 0.7984, decode.d0.loss_cls: 1.3646, decode.d0.loss_mask: 0.6068, decode.d0.loss_dice: 0.9152, decode.d1.loss_cls: 0.4305, decode.d1.loss_mask: 0.5742, decode.d1.loss_dice: 0.8613, decode.d2.loss_cls: 0.3817, decode.d2.loss_mask: 0.5672, decode.d2.loss_dice: 0.8326, decode.d3.loss_cls: 0.3657, decode.d3.loss_mask: 0.5619, decode.d3.loss_dice: 0.8115, decode.d4.loss_cls: 0.3522, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.8123, decode.d5.loss_cls: 0.3504, decode.d5.loss_mask: 0.5577, decode.d5.loss_dice: 0.8022, decode.d6.loss_cls: 0.3449, decode.d6.loss_mask: 0.5566, decode.d6.loss_dice: 0.7991, decode.d7.loss_cls: 0.3412, decode.d7.loss_mask: 0.5558, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3433, decode.d8.loss_mask: 0.5565, decode.d8.loss_dice: 0.7979, loss: 18.4938 2022-05-01 09:27:45,267 - mmseg - INFO - Iter [32700/80000] lr: 8.489e-07, eta: 1 day, 1:36:56, time: 1.860, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3576, decode.loss_mask: 0.5872, decode.loss_dice: 0.8421, decode.d0.loss_cls: 1.3972, decode.d0.loss_mask: 0.6322, decode.d0.loss_dice: 0.9514, decode.d1.loss_cls: 0.4348, decode.d1.loss_mask: 0.6113, decode.d1.loss_dice: 0.8998, decode.d2.loss_cls: 0.3992, decode.d2.loss_mask: 0.5989, decode.d2.loss_dice: 0.8638, decode.d3.loss_cls: 0.3759, decode.d3.loss_mask: 0.5923, decode.d3.loss_dice: 0.8523, decode.d4.loss_cls: 0.3714, decode.d4.loss_mask: 0.5879, decode.d4.loss_dice: 0.8540, decode.d5.loss_cls: 0.3642, decode.d5.loss_mask: 0.5864, decode.d5.loss_dice: 0.8512, decode.d6.loss_cls: 0.3582, decode.d6.loss_mask: 0.5862, decode.d6.loss_dice: 0.8404, decode.d7.loss_cls: 0.3608, decode.d7.loss_mask: 0.5843, decode.d7.loss_dice: 0.8396, decode.d8.loss_cls: 0.3552, decode.d8.loss_mask: 0.5845, decode.d8.loss_dice: 0.8432, loss: 19.3635 2022-05-01 09:29:19,236 - mmseg - INFO - Iter [32750/80000] lr: 8.480e-07, eta: 1 day, 1:35:13, time: 1.878, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3367, decode.loss_mask: 0.5563, decode.loss_dice: 0.7708, decode.d0.loss_cls: 1.3512, decode.d0.loss_mask: 0.6042, decode.d0.loss_dice: 0.8801, decode.d1.loss_cls: 0.4224, decode.d1.loss_mask: 0.5872, decode.d1.loss_dice: 0.8227, decode.d2.loss_cls: 0.3796, decode.d2.loss_mask: 0.5686, decode.d2.loss_dice: 0.8017, decode.d3.loss_cls: 0.3639, decode.d3.loss_mask: 0.5625, decode.d3.loss_dice: 0.7863, decode.d4.loss_cls: 0.3522, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.7853, decode.d5.loss_cls: 0.3493, decode.d5.loss_mask: 0.5604, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.3418, decode.d6.loss_mask: 0.5558, decode.d6.loss_dice: 0.7706, decode.d7.loss_cls: 0.3405, decode.d7.loss_mask: 0.5579, decode.d7.loss_dice: 0.7694, decode.d8.loss_cls: 0.3454, decode.d8.loss_mask: 0.5534, decode.d8.loss_dice: 0.7672, loss: 18.1869 2022-05-01 09:30:53,366 - mmseg - INFO - Iter [32800/80000] lr: 8.471e-07, eta: 1 day, 1:33:31, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3401, decode.loss_mask: 0.5289, decode.loss_dice: 0.7886, decode.d0.loss_cls: 1.3648, decode.d0.loss_mask: 0.5704, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4195, decode.d1.loss_mask: 0.5576, decode.d1.loss_dice: 0.8442, decode.d2.loss_cls: 0.3781, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8125, decode.d3.loss_cls: 0.3640, decode.d3.loss_mask: 0.5370, decode.d3.loss_dice: 0.7920, decode.d4.loss_cls: 0.3509, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7918, decode.d5.loss_cls: 0.3484, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7927, decode.d6.loss_cls: 0.3401, decode.d6.loss_mask: 0.5280, decode.d6.loss_dice: 0.7851, decode.d7.loss_cls: 0.3349, decode.d7.loss_mask: 0.5272, decode.d7.loss_dice: 0.7884, decode.d8.loss_cls: 0.3406, decode.d8.loss_mask: 0.5300, decode.d8.loss_dice: 0.7862, loss: 18.0378 2022-05-01 09:32:28,175 - mmseg - INFO - Iter [32850/80000] lr: 8.462e-07, eta: 1 day, 1:31:50, time: 1.896, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3408, decode.loss_mask: 0.5404, decode.loss_dice: 0.7831, decode.d0.loss_cls: 1.3652, decode.d0.loss_mask: 0.5850, decode.d0.loss_dice: 0.8884, decode.d1.loss_cls: 0.4291, decode.d1.loss_mask: 0.5653, decode.d1.loss_dice: 0.8478, decode.d2.loss_cls: 0.3796, decode.d2.loss_mask: 0.5506, decode.d2.loss_dice: 0.8096, decode.d3.loss_cls: 0.3612, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.7977, decode.d4.loss_cls: 0.3538, decode.d4.loss_mask: 0.5421, decode.d4.loss_dice: 0.7988, decode.d5.loss_cls: 0.3460, decode.d5.loss_mask: 0.5418, decode.d5.loss_dice: 0.7919, decode.d6.loss_cls: 0.3466, decode.d6.loss_mask: 0.5381, decode.d6.loss_dice: 0.7881, decode.d7.loss_cls: 0.3423, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7843, decode.d8.loss_cls: 0.3404, decode.d8.loss_mask: 0.5384, decode.d8.loss_dice: 0.7817, loss: 18.1678 2022-05-01 09:34:05,231 - mmseg - INFO - Iter [32900/80000] lr: 8.453e-07, eta: 1 day, 1:30:12, time: 1.942, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3356, decode.loss_mask: 0.5572, decode.loss_dice: 0.8035, decode.d0.loss_cls: 1.3630, decode.d0.loss_mask: 0.6027, decode.d0.loss_dice: 0.9179, decode.d1.loss_cls: 0.4178, decode.d1.loss_mask: 0.5860, decode.d1.loss_dice: 0.8729, decode.d2.loss_cls: 0.3776, decode.d2.loss_mask: 0.5745, decode.d2.loss_dice: 0.8371, decode.d3.loss_cls: 0.3608, decode.d3.loss_mask: 0.5649, decode.d3.loss_dice: 0.8184, decode.d4.loss_cls: 0.3433, decode.d4.loss_mask: 0.5636, decode.d4.loss_dice: 0.8186, decode.d5.loss_cls: 0.3403, decode.d5.loss_mask: 0.5628, decode.d5.loss_dice: 0.8088, decode.d6.loss_cls: 0.3335, decode.d6.loss_mask: 0.5617, decode.d6.loss_dice: 0.8045, decode.d7.loss_cls: 0.3315, decode.d7.loss_mask: 0.5588, decode.d7.loss_dice: 0.8075, decode.d8.loss_cls: 0.3331, decode.d8.loss_mask: 0.5576, decode.d8.loss_dice: 0.8106, loss: 18.5259 2022-05-01 09:35:38,837 - mmseg - INFO - Iter [32950/80000] lr: 8.444e-07, eta: 1 day, 1:28:29, time: 1.872, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3259, decode.loss_mask: 0.5367, decode.loss_dice: 0.7879, decode.d0.loss_cls: 1.3522, decode.d0.loss_mask: 0.5765, decode.d0.loss_dice: 0.8970, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5568, decode.d1.loss_dice: 0.8487, decode.d2.loss_cls: 0.3682, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8223, decode.d3.loss_cls: 0.3478, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.8016, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5416, decode.d4.loss_dice: 0.8060, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5394, decode.d5.loss_dice: 0.7986, decode.d6.loss_cls: 0.3277, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7971, decode.d7.loss_cls: 0.3277, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7947, decode.d8.loss_cls: 0.3277, decode.d8.loss_mask: 0.5346, decode.d8.loss_dice: 0.7915, loss: 18.0551 2022-05-01 09:37:10,612 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-05-01 09:37:28,985 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 09:37:28,989 - mmseg - INFO - Iter [33000/80000] lr: 8.435e-07, eta: 1 day, 1:27:09, time: 2.202, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3324, decode.loss_mask: 0.5579, decode.loss_dice: 0.7873, decode.d0.loss_cls: 1.3418, decode.d0.loss_mask: 0.6090, decode.d0.loss_dice: 0.8980, decode.d1.loss_cls: 0.4161, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.8513, decode.d2.loss_cls: 0.3725, decode.d2.loss_mask: 0.5772, decode.d2.loss_dice: 0.8153, decode.d3.loss_cls: 0.3517, decode.d3.loss_mask: 0.5648, decode.d3.loss_dice: 0.8044, decode.d4.loss_cls: 0.3416, decode.d4.loss_mask: 0.5636, decode.d4.loss_dice: 0.8041, decode.d5.loss_cls: 0.3407, decode.d5.loss_mask: 0.5632, decode.d5.loss_dice: 0.8036, decode.d6.loss_cls: 0.3388, decode.d6.loss_mask: 0.5583, decode.d6.loss_dice: 0.7941, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5579, decode.d7.loss_dice: 0.7893, decode.d8.loss_cls: 0.3371, decode.d8.loss_mask: 0.5578, decode.d8.loss_dice: 0.7923, loss: 18.3458 2022-05-01 09:39:04,646 - mmseg - INFO - Iter [33050/80000] lr: 8.427e-07, eta: 1 day, 1:25:29, time: 1.914, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3340, decode.loss_mask: 0.5404, decode.loss_dice: 0.8240, decode.d0.loss_cls: 1.3772, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.9341, decode.d1.loss_cls: 0.4290, decode.d1.loss_mask: 0.5633, decode.d1.loss_dice: 0.8756, decode.d2.loss_cls: 0.3755, decode.d2.loss_mask: 0.5517, decode.d2.loss_dice: 0.8503, decode.d3.loss_cls: 0.3582, decode.d3.loss_mask: 0.5445, decode.d3.loss_dice: 0.8274, decode.d4.loss_cls: 0.3437, decode.d4.loss_mask: 0.5429, decode.d4.loss_dice: 0.8346, decode.d5.loss_cls: 0.3378, decode.d5.loss_mask: 0.5459, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3377, decode.d6.loss_mask: 0.5390, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3332, decode.d7.loss_mask: 0.5415, decode.d7.loss_dice: 0.8205, decode.d8.loss_cls: 0.3295, decode.d8.loss_mask: 0.5435, decode.d8.loss_dice: 0.8227, loss: 18.4892 2022-05-01 09:40:38,532 - mmseg - INFO - Iter [33100/80000] lr: 8.418e-07, eta: 1 day, 1:23:47, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3438, decode.loss_mask: 0.5613, decode.loss_dice: 0.8001, decode.d0.loss_cls: 1.3867, decode.d0.loss_mask: 0.6100, decode.d0.loss_dice: 0.9173, decode.d1.loss_cls: 0.4390, decode.d1.loss_mask: 0.5942, decode.d1.loss_dice: 0.8641, decode.d2.loss_cls: 0.3888, decode.d2.loss_mask: 0.5767, decode.d2.loss_dice: 0.8345, decode.d3.loss_cls: 0.3696, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8197, decode.d4.loss_cls: 0.3599, decode.d4.loss_mask: 0.5686, decode.d4.loss_dice: 0.8131, decode.d5.loss_cls: 0.3520, decode.d5.loss_mask: 0.5666, decode.d5.loss_dice: 0.8101, decode.d6.loss_cls: 0.3479, decode.d6.loss_mask: 0.5655, decode.d6.loss_dice: 0.8041, decode.d7.loss_cls: 0.3425, decode.d7.loss_mask: 0.5646, decode.d7.loss_dice: 0.8062, decode.d8.loss_cls: 0.3410, decode.d8.loss_mask: 0.5625, decode.d8.loss_dice: 0.7998, loss: 18.6784 2022-05-01 09:42:12,141 - mmseg - INFO - Iter [33150/80000] lr: 8.409e-07, eta: 1 day, 1:22:04, time: 1.872, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3476, decode.loss_mask: 0.5440, decode.loss_dice: 0.8004, decode.d0.loss_cls: 1.3716, decode.d0.loss_mask: 0.6002, decode.d0.loss_dice: 0.9162, decode.d1.loss_cls: 0.4339, decode.d1.loss_mask: 0.5757, decode.d1.loss_dice: 0.8633, decode.d2.loss_cls: 0.3892, decode.d2.loss_mask: 0.5571, decode.d2.loss_dice: 0.8350, decode.d3.loss_cls: 0.3714, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.8114, decode.d4.loss_cls: 0.3602, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.8105, decode.d5.loss_cls: 0.3547, decode.d5.loss_mask: 0.5470, decode.d5.loss_dice: 0.8099, decode.d6.loss_cls: 0.3533, decode.d6.loss_mask: 0.5461, decode.d6.loss_dice: 0.7993, decode.d7.loss_cls: 0.3525, decode.d7.loss_mask: 0.5442, decode.d7.loss_dice: 0.8020, decode.d8.loss_cls: 0.3488, decode.d8.loss_mask: 0.5462, decode.d8.loss_dice: 0.8024, loss: 18.4916 2022-05-01 09:43:46,705 - mmseg - INFO - Iter [33200/80000] lr: 8.400e-07, eta: 1 day, 1:20:22, time: 1.892, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3455, decode.loss_mask: 0.5688, decode.loss_dice: 0.8096, decode.d0.loss_cls: 1.3741, decode.d0.loss_mask: 0.6102, decode.d0.loss_dice: 0.9231, decode.d1.loss_cls: 0.4324, decode.d1.loss_mask: 0.5887, decode.d1.loss_dice: 0.8624, decode.d2.loss_cls: 0.3858, decode.d2.loss_mask: 0.5777, decode.d2.loss_dice: 0.8379, decode.d3.loss_cls: 0.3609, decode.d3.loss_mask: 0.5711, decode.d3.loss_dice: 0.8218, decode.d4.loss_cls: 0.3514, decode.d4.loss_mask: 0.5716, decode.d4.loss_dice: 0.8192, decode.d5.loss_cls: 0.3510, decode.d5.loss_mask: 0.5698, decode.d5.loss_dice: 0.8129, decode.d6.loss_cls: 0.3476, decode.d6.loss_mask: 0.5649, decode.d6.loss_dice: 0.8103, decode.d7.loss_cls: 0.3462, decode.d7.loss_mask: 0.5682, decode.d7.loss_dice: 0.8111, decode.d8.loss_cls: 0.3424, decode.d8.loss_mask: 0.5675, decode.d8.loss_dice: 0.8128, loss: 18.7170 2022-05-01 09:45:19,859 - mmseg - INFO - Iter [33250/80000] lr: 8.391e-07, eta: 1 day, 1:18:39, time: 1.863, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3453, decode.loss_mask: 0.5284, decode.loss_dice: 0.8047, decode.d0.loss_cls: 1.3909, decode.d0.loss_mask: 0.5787, decode.d0.loss_dice: 0.9181, decode.d1.loss_cls: 0.4346, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8765, decode.d2.loss_cls: 0.3888, decode.d2.loss_mask: 0.5482, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3685, decode.d3.loss_mask: 0.5378, decode.d3.loss_dice: 0.8196, decode.d4.loss_cls: 0.3573, decode.d4.loss_mask: 0.5374, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.3561, decode.d5.loss_mask: 0.5337, decode.d5.loss_dice: 0.8146, decode.d6.loss_cls: 0.3527, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.8086, decode.d7.loss_cls: 0.3463, decode.d7.loss_mask: 0.5335, decode.d7.loss_dice: 0.8095, decode.d8.loss_cls: 0.3437, decode.d8.loss_mask: 0.5331, decode.d8.loss_dice: 0.8067, loss: 18.4239 2022-05-01 09:46:54,474 - mmseg - INFO - Iter [33300/80000] lr: 8.382e-07, eta: 1 day, 1:16:57, time: 1.891, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3553, decode.loss_mask: 0.5376, decode.loss_dice: 0.7824, decode.d0.loss_cls: 1.3738, decode.d0.loss_mask: 0.5942, decode.d0.loss_dice: 0.9067, decode.d1.loss_cls: 0.4414, decode.d1.loss_mask: 0.5674, decode.d1.loss_dice: 0.8487, decode.d2.loss_cls: 0.3966, decode.d2.loss_mask: 0.5499, decode.d2.loss_dice: 0.8136, decode.d3.loss_cls: 0.3827, decode.d3.loss_mask: 0.5439, decode.d3.loss_dice: 0.7991, decode.d4.loss_cls: 0.3690, decode.d4.loss_mask: 0.5424, decode.d4.loss_dice: 0.7967, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5427, decode.d5.loss_dice: 0.7893, decode.d6.loss_cls: 0.3610, decode.d6.loss_mask: 0.5371, decode.d6.loss_dice: 0.7852, decode.d7.loss_cls: 0.3567, decode.d7.loss_mask: 0.5394, decode.d7.loss_dice: 0.7892, decode.d8.loss_cls: 0.3577, decode.d8.loss_mask: 0.5396, decode.d8.loss_dice: 0.7841, loss: 18.3471 2022-05-01 09:48:27,029 - mmseg - INFO - Iter [33350/80000] lr: 8.373e-07, eta: 1 day, 1:15:13, time: 1.849, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3199, decode.loss_mask: 0.5421, decode.loss_dice: 0.8036, decode.d0.loss_cls: 1.3447, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.9261, decode.d1.loss_cls: 0.4036, decode.d1.loss_mask: 0.5684, decode.d1.loss_dice: 0.8666, decode.d2.loss_cls: 0.3619, decode.d2.loss_mask: 0.5573, decode.d2.loss_dice: 0.8387, decode.d3.loss_cls: 0.3392, decode.d3.loss_mask: 0.5493, decode.d3.loss_dice: 0.8215, decode.d4.loss_cls: 0.3307, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.8201, decode.d5.loss_cls: 0.3289, decode.d5.loss_mask: 0.5483, decode.d5.loss_dice: 0.8128, decode.d6.loss_cls: 0.3280, decode.d6.loss_mask: 0.5408, decode.d6.loss_dice: 0.8052, decode.d7.loss_cls: 0.3205, decode.d7.loss_mask: 0.5428, decode.d7.loss_dice: 0.8100, decode.d8.loss_cls: 0.3192, decode.d8.loss_mask: 0.5416, decode.d8.loss_dice: 0.8080, loss: 18.2401 2022-05-01 09:50:01,131 - mmseg - INFO - Iter [33400/80000] lr: 8.364e-07, eta: 1 day, 1:13:31, time: 1.885, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3545, decode.loss_mask: 0.5447, decode.loss_dice: 0.8194, decode.d0.loss_cls: 1.3731, decode.d0.loss_mask: 0.5926, decode.d0.loss_dice: 0.9233, decode.d1.loss_cls: 0.4357, decode.d1.loss_mask: 0.5636, decode.d1.loss_dice: 0.8692, decode.d2.loss_cls: 0.3961, decode.d2.loss_mask: 0.5523, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.3763, decode.d3.loss_mask: 0.5499, decode.d3.loss_dice: 0.8191, decode.d4.loss_cls: 0.3733, decode.d4.loss_mask: 0.5467, decode.d4.loss_dice: 0.8208, decode.d5.loss_cls: 0.3587, decode.d5.loss_mask: 0.5461, decode.d5.loss_dice: 0.8230, decode.d6.loss_cls: 0.3556, decode.d6.loss_mask: 0.5454, decode.d6.loss_dice: 0.8121, decode.d7.loss_cls: 0.3490, decode.d7.loss_mask: 0.5458, decode.d7.loss_dice: 0.8180, decode.d8.loss_cls: 0.3524, decode.d8.loss_mask: 0.5456, decode.d8.loss_dice: 0.8182, loss: 18.6190 2022-05-01 09:51:34,554 - mmseg - INFO - Iter [33450/80000] lr: 8.355e-07, eta: 1 day, 1:11:48, time: 1.868, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3622, decode.loss_mask: 0.5079, decode.loss_dice: 0.7719, decode.d0.loss_cls: 1.4019, decode.d0.loss_mask: 0.5548, decode.d0.loss_dice: 0.8878, decode.d1.loss_cls: 0.4558, decode.d1.loss_mask: 0.5345, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.4007, decode.d2.loss_mask: 0.5217, decode.d2.loss_dice: 0.8002, decode.d3.loss_cls: 0.3858, decode.d3.loss_mask: 0.5138, decode.d3.loss_dice: 0.7874, decode.d4.loss_cls: 0.3778, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7803, decode.d5.loss_cls: 0.3707, decode.d5.loss_mask: 0.5119, decode.d5.loss_dice: 0.7801, decode.d6.loss_cls: 0.3658, decode.d6.loss_mask: 0.5087, decode.d6.loss_dice: 0.7704, decode.d7.loss_cls: 0.3616, decode.d7.loss_mask: 0.5079, decode.d7.loss_dice: 0.7710, decode.d8.loss_cls: 0.3601, decode.d8.loss_mask: 0.5098, decode.d8.loss_dice: 0.7716, loss: 17.9790 2022-05-01 09:53:08,157 - mmseg - INFO - Iter [33500/80000] lr: 8.346e-07, eta: 1 day, 1:10:05, time: 1.872, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3428, decode.loss_mask: 0.5639, decode.loss_dice: 0.7965, decode.d0.loss_cls: 1.3778, decode.d0.loss_mask: 0.6098, decode.d0.loss_dice: 0.9023, decode.d1.loss_cls: 0.4332, decode.d1.loss_mask: 0.5870, decode.d1.loss_dice: 0.8500, decode.d2.loss_cls: 0.3784, decode.d2.loss_mask: 0.5728, decode.d2.loss_dice: 0.8351, decode.d3.loss_cls: 0.3710, decode.d3.loss_mask: 0.5647, decode.d3.loss_dice: 0.8065, decode.d4.loss_cls: 0.3589, decode.d4.loss_mask: 0.5657, decode.d4.loss_dice: 0.8101, decode.d5.loss_cls: 0.3566, decode.d5.loss_mask: 0.5663, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3487, decode.d6.loss_mask: 0.5644, decode.d6.loss_dice: 0.8033, decode.d7.loss_cls: 0.3441, decode.d7.loss_mask: 0.5676, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3446, decode.d8.loss_mask: 0.5649, decode.d8.loss_dice: 0.8024, loss: 18.5998 2022-05-01 09:54:42,339 - mmseg - INFO - Iter [33550/80000] lr: 8.337e-07, eta: 1 day, 1:08:23, time: 1.884, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3453, decode.loss_mask: 0.5728, decode.loss_dice: 0.8129, decode.d0.loss_cls: 1.3816, decode.d0.loss_mask: 0.6148, decode.d0.loss_dice: 0.9193, decode.d1.loss_cls: 0.4354, decode.d1.loss_mask: 0.5962, decode.d1.loss_dice: 0.8680, decode.d2.loss_cls: 0.3845, decode.d2.loss_mask: 0.5846, decode.d2.loss_dice: 0.8356, decode.d3.loss_cls: 0.3687, decode.d3.loss_mask: 0.5776, decode.d3.loss_dice: 0.8172, decode.d4.loss_cls: 0.3583, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8162, decode.d5.loss_cls: 0.3556, decode.d5.loss_mask: 0.5747, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3491, decode.d6.loss_mask: 0.5727, decode.d6.loss_dice: 0.8078, decode.d7.loss_cls: 0.3444, decode.d7.loss_mask: 0.5712, decode.d7.loss_dice: 0.8121, decode.d8.loss_cls: 0.3437, decode.d8.loss_mask: 0.5736, decode.d8.loss_dice: 0.8107, loss: 18.7926 2022-05-01 09:56:15,693 - mmseg - INFO - Iter [33600/80000] lr: 8.328e-07, eta: 1 day, 1:06:40, time: 1.867, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3239, decode.loss_mask: 0.5428, decode.loss_dice: 0.7669, decode.d0.loss_cls: 1.3252, decode.d0.loss_mask: 0.5918, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.4022, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8306, decode.d2.loss_cls: 0.3628, decode.d2.loss_mask: 0.5542, decode.d2.loss_dice: 0.7967, decode.d3.loss_cls: 0.3469, decode.d3.loss_mask: 0.5490, decode.d3.loss_dice: 0.7822, decode.d4.loss_cls: 0.3377, decode.d4.loss_mask: 0.5452, decode.d4.loss_dice: 0.7783, decode.d5.loss_cls: 0.3292, decode.d5.loss_mask: 0.5484, decode.d5.loss_dice: 0.7815, decode.d6.loss_cls: 0.3251, decode.d6.loss_mask: 0.5428, decode.d6.loss_dice: 0.7724, decode.d7.loss_cls: 0.3267, decode.d7.loss_mask: 0.5432, decode.d7.loss_dice: 0.7745, decode.d8.loss_cls: 0.3257, decode.d8.loss_mask: 0.5443, decode.d8.loss_dice: 0.7724, loss: 17.8739 2022-05-01 09:57:49,424 - mmseg - INFO - Iter [33650/80000] lr: 8.319e-07, eta: 1 day, 1:04:58, time: 1.875, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3536, decode.loss_mask: 0.5557, decode.loss_dice: 0.7947, decode.d0.loss_cls: 1.3626, decode.d0.loss_mask: 0.6100, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4421, decode.d1.loss_mask: 0.5838, decode.d1.loss_dice: 0.8670, decode.d2.loss_cls: 0.3943, decode.d2.loss_mask: 0.5683, decode.d2.loss_dice: 0.8262, decode.d3.loss_cls: 0.3747, decode.d3.loss_mask: 0.5634, decode.d3.loss_dice: 0.8076, decode.d4.loss_cls: 0.3630, decode.d4.loss_mask: 0.5601, decode.d4.loss_dice: 0.8051, decode.d5.loss_cls: 0.3576, decode.d5.loss_mask: 0.5610, decode.d5.loss_dice: 0.8063, decode.d6.loss_cls: 0.3595, decode.d6.loss_mask: 0.5554, decode.d6.loss_dice: 0.8001, decode.d7.loss_cls: 0.3496, decode.d7.loss_mask: 0.5559, decode.d7.loss_dice: 0.8003, decode.d8.loss_cls: 0.3489, decode.d8.loss_mask: 0.5549, decode.d8.loss_dice: 0.7984, loss: 18.5993 2022-05-01 09:59:21,434 - mmseg - INFO - Iter [33700/80000] lr: 8.310e-07, eta: 1 day, 1:03:13, time: 1.841, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3587, decode.loss_mask: 0.5443, decode.loss_dice: 0.8202, decode.d0.loss_cls: 1.3990, decode.d0.loss_mask: 0.5907, decode.d0.loss_dice: 0.9377, decode.d1.loss_cls: 0.4503, decode.d1.loss_mask: 0.5697, decode.d1.loss_dice: 0.8886, decode.d2.loss_cls: 0.4037, decode.d2.loss_mask: 0.5568, decode.d2.loss_dice: 0.8527, decode.d3.loss_cls: 0.3860, decode.d3.loss_mask: 0.5484, decode.d3.loss_dice: 0.8346, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5479, decode.d4.loss_dice: 0.8316, decode.d5.loss_cls: 0.3682, decode.d5.loss_mask: 0.5455, decode.d5.loss_dice: 0.8282, decode.d6.loss_cls: 0.3587, decode.d6.loss_mask: 0.5417, decode.d6.loss_dice: 0.8264, decode.d7.loss_cls: 0.3605, decode.d7.loss_mask: 0.5424, decode.d7.loss_dice: 0.8231, decode.d8.loss_cls: 0.3612, decode.d8.loss_mask: 0.5411, decode.d8.loss_dice: 0.8225, loss: 18.8215 2022-05-01 10:00:54,474 - mmseg - INFO - Iter [33750/80000] lr: 8.301e-07, eta: 1 day, 1:01:30, time: 1.861, data_time: 0.013, memory: 64716, decode.loss_cls: 0.3413, decode.loss_mask: 0.5440, decode.loss_dice: 0.7945, decode.d0.loss_cls: 1.3722, decode.d0.loss_mask: 0.5982, decode.d0.loss_dice: 0.9053, decode.d1.loss_cls: 0.4310, decode.d1.loss_mask: 0.5709, decode.d1.loss_dice: 0.8608, decode.d2.loss_cls: 0.3914, decode.d2.loss_mask: 0.5556, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3755, decode.d3.loss_mask: 0.5458, decode.d3.loss_dice: 0.8065, decode.d4.loss_cls: 0.3641, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8072, decode.d5.loss_cls: 0.3520, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3503, decode.d6.loss_mask: 0.5442, decode.d6.loss_dice: 0.7962, decode.d7.loss_cls: 0.3497, decode.d7.loss_mask: 0.5442, decode.d7.loss_dice: 0.7975, decode.d8.loss_cls: 0.3465, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.7917, loss: 18.4104 2022-05-01 10:02:26,866 - mmseg - INFO - Iter [33800/80000] lr: 8.292e-07, eta: 1 day, 0:59:45, time: 1.847, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3285, decode.loss_mask: 0.5308, decode.loss_dice: 0.7966, decode.d0.loss_cls: 1.3859, decode.d0.loss_mask: 0.5785, decode.d0.loss_dice: 0.9093, decode.d1.loss_cls: 0.4277, decode.d1.loss_mask: 0.5574, decode.d1.loss_dice: 0.8515, decode.d2.loss_cls: 0.3752, decode.d2.loss_mask: 0.5468, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.3540, decode.d3.loss_mask: 0.5377, decode.d3.loss_dice: 0.8075, decode.d4.loss_cls: 0.3450, decode.d4.loss_mask: 0.5363, decode.d4.loss_dice: 0.8028, decode.d5.loss_cls: 0.3382, decode.d5.loss_mask: 0.5340, decode.d5.loss_dice: 0.7989, decode.d6.loss_cls: 0.3294, decode.d6.loss_mask: 0.5309, decode.d6.loss_dice: 0.7929, decode.d7.loss_cls: 0.3290, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7975, decode.d8.loss_cls: 0.3302, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.7953, loss: 18.1251 2022-05-01 10:04:00,772 - mmseg - INFO - Iter [33850/80000] lr: 8.283e-07, eta: 1 day, 0:58:03, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3653, decode.loss_mask: 0.5516, decode.loss_dice: 0.7928, decode.d0.loss_cls: 1.3845, decode.d0.loss_mask: 0.6009, decode.d0.loss_dice: 0.9123, decode.d1.loss_cls: 0.4545, decode.d1.loss_mask: 0.5832, decode.d1.loss_dice: 0.8605, decode.d2.loss_cls: 0.4070, decode.d2.loss_mask: 0.5620, decode.d2.loss_dice: 0.8192, decode.d3.loss_cls: 0.3847, decode.d3.loss_mask: 0.5560, decode.d3.loss_dice: 0.8079, decode.d4.loss_cls: 0.3711, decode.d4.loss_mask: 0.5561, decode.d4.loss_dice: 0.8083, decode.d5.loss_cls: 0.3736, decode.d5.loss_mask: 0.5535, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3669, decode.d6.loss_mask: 0.5525, decode.d6.loss_dice: 0.7948, decode.d7.loss_cls: 0.3654, decode.d7.loss_mask: 0.5521, decode.d7.loss_dice: 0.7968, decode.d8.loss_cls: 0.3676, decode.d8.loss_mask: 0.5525, decode.d8.loss_dice: 0.7918, loss: 18.6491 2022-05-01 10:05:34,065 - mmseg - INFO - Iter [33900/80000] lr: 8.274e-07, eta: 1 day, 0:56:20, time: 1.864, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3412, decode.loss_mask: 0.5645, decode.loss_dice: 0.8160, decode.d0.loss_cls: 1.3589, decode.d0.loss_mask: 0.6072, decode.d0.loss_dice: 0.9198, decode.d1.loss_cls: 0.4326, decode.d1.loss_mask: 0.5887, decode.d1.loss_dice: 0.8703, decode.d2.loss_cls: 0.3815, decode.d2.loss_mask: 0.5756, decode.d2.loss_dice: 0.8446, decode.d3.loss_cls: 0.3596, decode.d3.loss_mask: 0.5736, decode.d3.loss_dice: 0.8274, decode.d4.loss_cls: 0.3501, decode.d4.loss_mask: 0.5702, decode.d4.loss_dice: 0.8243, decode.d5.loss_cls: 0.3532, decode.d5.loss_mask: 0.5694, decode.d5.loss_dice: 0.8202, decode.d6.loss_cls: 0.3465, decode.d6.loss_mask: 0.5683, decode.d6.loss_dice: 0.8177, decode.d7.loss_cls: 0.3385, decode.d7.loss_mask: 0.5663, decode.d7.loss_dice: 0.8187, decode.d8.loss_cls: 0.3404, decode.d8.loss_mask: 0.5655, decode.d8.loss_dice: 0.8119, loss: 18.7224 2022-05-01 10:07:08,992 - mmseg - INFO - Iter [33950/80000] lr: 8.265e-07, eta: 1 day, 0:54:39, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3385, decode.loss_mask: 0.5558, decode.loss_dice: 0.7707, decode.d0.loss_cls: 1.3436, decode.d0.loss_mask: 0.6111, decode.d0.loss_dice: 0.9006, decode.d1.loss_cls: 0.4140, decode.d1.loss_mask: 0.5874, decode.d1.loss_dice: 0.8391, decode.d2.loss_cls: 0.3818, decode.d2.loss_mask: 0.5684, decode.d2.loss_dice: 0.8038, decode.d3.loss_cls: 0.3576, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.7871, decode.d4.loss_cls: 0.3489, decode.d4.loss_mask: 0.5612, decode.d4.loss_dice: 0.7864, decode.d5.loss_cls: 0.3434, decode.d5.loss_mask: 0.5647, decode.d5.loss_dice: 0.7912, decode.d6.loss_cls: 0.3423, decode.d6.loss_mask: 0.5588, decode.d6.loss_dice: 0.7769, decode.d7.loss_cls: 0.3415, decode.d7.loss_mask: 0.5567, decode.d7.loss_dice: 0.7764, decode.d8.loss_cls: 0.3406, decode.d8.loss_mask: 0.5587, decode.d8.loss_dice: 0.7739, loss: 18.2451 2022-05-01 10:08:42,641 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-05-01 10:09:12,037 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 10:09:12,049 - mmseg - INFO - Iter [34000/80000] lr: 8.256e-07, eta: 1 day, 0:53:37, time: 2.458, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3485, decode.loss_mask: 0.5564, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.3531, decode.d0.loss_mask: 0.5977, decode.d0.loss_dice: 0.9198, decode.d1.loss_cls: 0.4220, decode.d1.loss_mask: 0.5758, decode.d1.loss_dice: 0.8720, decode.d2.loss_cls: 0.3795, decode.d2.loss_mask: 0.5650, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.3605, decode.d3.loss_mask: 0.5592, decode.d3.loss_dice: 0.8271, decode.d4.loss_cls: 0.3570, decode.d4.loss_mask: 0.5588, decode.d4.loss_dice: 0.8245, decode.d5.loss_cls: 0.3481, decode.d5.loss_mask: 0.5582, decode.d5.loss_dice: 0.8246, decode.d6.loss_cls: 0.3498, decode.d6.loss_mask: 0.5534, decode.d6.loss_dice: 0.8089, decode.d7.loss_cls: 0.3476, decode.d7.loss_mask: 0.5560, decode.d7.loss_dice: 0.8161, decode.d8.loss_cls: 0.3479, decode.d8.loss_mask: 0.5577, decode.d8.loss_dice: 0.8141, loss: 18.6078 2022-05-01 10:10:46,807 - mmseg - INFO - Iter [34050/80000] lr: 8.247e-07, eta: 1 day, 0:51:56, time: 1.897, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3378, decode.loss_mask: 0.5792, decode.loss_dice: 0.8187, decode.d0.loss_cls: 1.3758, decode.d0.loss_mask: 0.6244, decode.d0.loss_dice: 0.9202, decode.d1.loss_cls: 0.4168, decode.d1.loss_mask: 0.6016, decode.d1.loss_dice: 0.8710, decode.d2.loss_cls: 0.3740, decode.d2.loss_mask: 0.5911, decode.d2.loss_dice: 0.8385, decode.d3.loss_cls: 0.3569, decode.d3.loss_mask: 0.5831, decode.d3.loss_dice: 0.8266, decode.d4.loss_cls: 0.3476, decode.d4.loss_mask: 0.5843, decode.d4.loss_dice: 0.8277, decode.d5.loss_cls: 0.3406, decode.d5.loss_mask: 0.5834, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3407, decode.d6.loss_mask: 0.5806, decode.d6.loss_dice: 0.8172, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5808, decode.d7.loss_dice: 0.8190, decode.d8.loss_cls: 0.3381, decode.d8.loss_mask: 0.5798, decode.d8.loss_dice: 0.8164, loss: 18.8347 2022-05-01 10:12:19,699 - mmseg - INFO - Iter [34100/80000] lr: 8.238e-07, eta: 1 day, 0:50:12, time: 1.859, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3544, decode.loss_mask: 0.5584, decode.loss_dice: 0.8277, decode.d0.loss_cls: 1.4109, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.9321, decode.d1.loss_cls: 0.4417, decode.d1.loss_mask: 0.5884, decode.d1.loss_dice: 0.8902, decode.d2.loss_cls: 0.3986, decode.d2.loss_mask: 0.5683, decode.d2.loss_dice: 0.8585, decode.d3.loss_cls: 0.3789, decode.d3.loss_mask: 0.5638, decode.d3.loss_dice: 0.8441, decode.d4.loss_cls: 0.3743, decode.d4.loss_mask: 0.5613, decode.d4.loss_dice: 0.8385, decode.d5.loss_cls: 0.3674, decode.d5.loss_mask: 0.5590, decode.d5.loss_dice: 0.8393, decode.d6.loss_cls: 0.3620, decode.d6.loss_mask: 0.5581, decode.d6.loss_dice: 0.8308, decode.d7.loss_cls: 0.3564, decode.d7.loss_mask: 0.5562, decode.d7.loss_dice: 0.8256, decode.d8.loss_cls: 0.3569, decode.d8.loss_mask: 0.5581, decode.d8.loss_dice: 0.8292, loss: 18.9925 2022-05-01 10:13:56,305 - mmseg - INFO - Iter [34150/80000] lr: 8.229e-07, eta: 1 day, 0:48:34, time: 1.932, data_time: 0.063, memory: 64716, decode.loss_cls: 0.3216, decode.loss_mask: 0.5258, decode.loss_dice: 0.7839, decode.d0.loss_cls: 1.3394, decode.d0.loss_mask: 0.5693, decode.d0.loss_dice: 0.8822, decode.d1.loss_cls: 0.4085, decode.d1.loss_mask: 0.5477, decode.d1.loss_dice: 0.8304, decode.d2.loss_cls: 0.3705, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.8044, decode.d3.loss_cls: 0.3438, decode.d3.loss_mask: 0.5291, decode.d3.loss_dice: 0.7853, decode.d4.loss_cls: 0.3359, decode.d4.loss_mask: 0.5278, decode.d4.loss_dice: 0.7875, decode.d5.loss_cls: 0.3311, decode.d5.loss_mask: 0.5282, decode.d5.loss_dice: 0.7880, decode.d6.loss_cls: 0.3260, decode.d6.loss_mask: 0.5256, decode.d6.loss_dice: 0.7809, decode.d7.loss_cls: 0.3216, decode.d7.loss_mask: 0.5261, decode.d7.loss_dice: 0.7790, decode.d8.loss_cls: 0.3248, decode.d8.loss_mask: 0.5246, decode.d8.loss_dice: 0.7838, loss: 17.7683 2022-05-01 10:15:28,568 - mmseg - INFO - Iter [34200/80000] lr: 8.220e-07, eta: 1 day, 0:46:50, time: 1.844, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3249, decode.loss_mask: 0.5338, decode.loss_dice: 0.7738, decode.d0.loss_cls: 1.3574, decode.d0.loss_mask: 0.5853, decode.d0.loss_dice: 0.8811, decode.d1.loss_cls: 0.4134, decode.d1.loss_mask: 0.5649, decode.d1.loss_dice: 0.8318, decode.d2.loss_cls: 0.3573, decode.d2.loss_mask: 0.5511, decode.d2.loss_dice: 0.8034, decode.d3.loss_cls: 0.3442, decode.d3.loss_mask: 0.5428, decode.d3.loss_dice: 0.7865, decode.d4.loss_cls: 0.3364, decode.d4.loss_mask: 0.5403, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3346, decode.d5.loss_mask: 0.5377, decode.d5.loss_dice: 0.7817, decode.d6.loss_cls: 0.3299, decode.d6.loss_mask: 0.5359, decode.d6.loss_dice: 0.7774, decode.d7.loss_cls: 0.3259, decode.d7.loss_mask: 0.5327, decode.d7.loss_dice: 0.7797, decode.d8.loss_cls: 0.3264, decode.d8.loss_mask: 0.5324, decode.d8.loss_dice: 0.7787, loss: 17.8860 2022-05-01 10:17:02,148 - mmseg - INFO - Iter [34250/80000] lr: 8.211e-07, eta: 1 day, 0:45:07, time: 1.871, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3363, decode.loss_mask: 0.5352, decode.loss_dice: 0.7867, decode.d0.loss_cls: 1.3810, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.9004, decode.d1.loss_cls: 0.4353, decode.d1.loss_mask: 0.5605, decode.d1.loss_dice: 0.8478, decode.d2.loss_cls: 0.3780, decode.d2.loss_mask: 0.5475, decode.d2.loss_dice: 0.8145, decode.d3.loss_cls: 0.3592, decode.d3.loss_mask: 0.5420, decode.d3.loss_dice: 0.8051, decode.d4.loss_cls: 0.3464, decode.d4.loss_mask: 0.5426, decode.d4.loss_dice: 0.8034, decode.d5.loss_cls: 0.3429, decode.d5.loss_mask: 0.5380, decode.d5.loss_dice: 0.7990, decode.d6.loss_cls: 0.3389, decode.d6.loss_mask: 0.5370, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.3403, decode.d7.loss_mask: 0.5359, decode.d7.loss_dice: 0.7880, decode.d8.loss_cls: 0.3331, decode.d8.loss_mask: 0.5378, decode.d8.loss_dice: 0.7880, loss: 18.1724 2022-05-01 10:18:34,647 - mmseg - INFO - Iter [34300/80000] lr: 8.202e-07, eta: 1 day, 0:43:23, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3339, decode.loss_mask: 0.5586, decode.loss_dice: 0.7973, decode.d0.loss_cls: 1.3612, decode.d0.loss_mask: 0.6055, decode.d0.loss_dice: 0.9038, decode.d1.loss_cls: 0.4202, decode.d1.loss_mask: 0.5820, decode.d1.loss_dice: 0.8528, decode.d2.loss_cls: 0.3746, decode.d2.loss_mask: 0.5671, decode.d2.loss_dice: 0.8240, decode.d3.loss_cls: 0.3539, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3480, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8075, decode.d5.loss_cls: 0.3445, decode.d5.loss_mask: 0.5574, decode.d5.loss_dice: 0.7987, decode.d6.loss_cls: 0.3430, decode.d6.loss_mask: 0.5545, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3354, decode.d7.loss_mask: 0.5554, decode.d7.loss_dice: 0.7977, decode.d8.loss_cls: 0.3366, decode.d8.loss_mask: 0.5548, decode.d8.loss_dice: 0.7914, loss: 18.3818 2022-05-01 10:20:08,056 - mmseg - INFO - Iter [34350/80000] lr: 8.193e-07, eta: 1 day, 0:41:41, time: 1.868, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3421, decode.loss_mask: 0.5544, decode.loss_dice: 0.8026, decode.d0.loss_cls: 1.3772, decode.d0.loss_mask: 0.6038, decode.d0.loss_dice: 0.9203, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5805, decode.d1.loss_dice: 0.8726, decode.d2.loss_cls: 0.3815, decode.d2.loss_mask: 0.5663, decode.d2.loss_dice: 0.8310, decode.d3.loss_cls: 0.3580, decode.d3.loss_mask: 0.5583, decode.d3.loss_dice: 0.8139, decode.d4.loss_cls: 0.3522, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8115, decode.d5.loss_cls: 0.3444, decode.d5.loss_mask: 0.5572, decode.d5.loss_dice: 0.8147, decode.d6.loss_cls: 0.3425, decode.d6.loss_mask: 0.5554, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3356, decode.d7.loss_mask: 0.5521, decode.d7.loss_dice: 0.7970, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5516, decode.d8.loss_dice: 0.8051, loss: 18.5041 2022-05-01 10:21:42,170 - mmseg - INFO - Iter [34400/80000] lr: 8.184e-07, eta: 1 day, 0:39:59, time: 1.881, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3311, decode.loss_mask: 0.5459, decode.loss_dice: 0.8068, decode.d0.loss_cls: 1.3511, decode.d0.loss_mask: 0.5977, decode.d0.loss_dice: 0.9150, decode.d1.loss_cls: 0.4309, decode.d1.loss_mask: 0.5757, decode.d1.loss_dice: 0.8694, decode.d2.loss_cls: 0.3781, decode.d2.loss_mask: 0.5596, decode.d2.loss_dice: 0.8337, decode.d3.loss_cls: 0.3588, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.8207, decode.d4.loss_cls: 0.3544, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3414, decode.d5.loss_mask: 0.5475, decode.d5.loss_dice: 0.8074, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5442, decode.d6.loss_dice: 0.8040, decode.d7.loss_cls: 0.3375, decode.d7.loss_mask: 0.5436, decode.d7.loss_dice: 0.8018, decode.d8.loss_cls: 0.3311, decode.d8.loss_mask: 0.5445, decode.d8.loss_dice: 0.8093, loss: 18.3899 2022-05-01 10:23:15,932 - mmseg - INFO - Iter [34450/80000] lr: 8.175e-07, eta: 1 day, 0:38:17, time: 1.876, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3338, decode.loss_mask: 0.5391, decode.loss_dice: 0.7781, decode.d0.loss_cls: 1.3274, decode.d0.loss_mask: 0.5841, decode.d0.loss_dice: 0.8872, decode.d1.loss_cls: 0.4141, decode.d1.loss_mask: 0.5700, decode.d1.loss_dice: 0.8342, decode.d2.loss_cls: 0.3667, decode.d2.loss_mask: 0.5472, decode.d2.loss_dice: 0.8047, decode.d3.loss_cls: 0.3552, decode.d3.loss_mask: 0.5446, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3443, decode.d4.loss_mask: 0.5440, decode.d4.loss_dice: 0.7900, decode.d5.loss_cls: 0.3470, decode.d5.loss_mask: 0.5401, decode.d5.loss_dice: 0.7853, decode.d6.loss_cls: 0.3408, decode.d6.loss_mask: 0.5405, decode.d6.loss_dice: 0.7795, decode.d7.loss_cls: 0.3324, decode.d7.loss_mask: 0.5396, decode.d7.loss_dice: 0.7805, decode.d8.loss_cls: 0.3327, decode.d8.loss_mask: 0.5406, decode.d8.loss_dice: 0.7844, loss: 17.9963 2022-05-01 10:24:51,717 - mmseg - INFO - Iter [34500/80000] lr: 8.166e-07, eta: 1 day, 0:36:37, time: 1.916, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3183, decode.loss_mask: 0.5496, decode.loss_dice: 0.7890, decode.d0.loss_cls: 1.3539, decode.d0.loss_mask: 0.5955, decode.d0.loss_dice: 0.8959, decode.d1.loss_cls: 0.4050, decode.d1.loss_mask: 0.5759, decode.d1.loss_dice: 0.8542, decode.d2.loss_cls: 0.3634, decode.d2.loss_mask: 0.5647, decode.d2.loss_dice: 0.8203, decode.d3.loss_cls: 0.3416, decode.d3.loss_mask: 0.5597, decode.d3.loss_dice: 0.8048, decode.d4.loss_cls: 0.3301, decode.d4.loss_mask: 0.5554, decode.d4.loss_dice: 0.8020, decode.d5.loss_cls: 0.3268, decode.d5.loss_mask: 0.5543, decode.d5.loss_dice: 0.7953, decode.d6.loss_cls: 0.3235, decode.d6.loss_mask: 0.5500, decode.d6.loss_dice: 0.7909, decode.d7.loss_cls: 0.3216, decode.d7.loss_mask: 0.5513, decode.d7.loss_dice: 0.7914, decode.d8.loss_cls: 0.3214, decode.d8.loss_mask: 0.5516, decode.d8.loss_dice: 0.7938, loss: 18.1512 2022-05-01 10:26:27,626 - mmseg - INFO - Iter [34550/80000] lr: 8.157e-07, eta: 1 day, 0:34:58, time: 1.916, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3406, decode.loss_mask: 0.5457, decode.loss_dice: 0.7993, decode.d0.loss_cls: 1.3723, decode.d0.loss_mask: 0.5928, decode.d0.loss_dice: 0.9167, decode.d1.loss_cls: 0.4277, decode.d1.loss_mask: 0.5668, decode.d1.loss_dice: 0.8598, decode.d2.loss_cls: 0.3861, decode.d2.loss_mask: 0.5487, decode.d2.loss_dice: 0.8292, decode.d3.loss_cls: 0.3646, decode.d3.loss_mask: 0.5489, decode.d3.loss_dice: 0.8148, decode.d4.loss_cls: 0.3550, decode.d4.loss_mask: 0.5468, decode.d4.loss_dice: 0.8151, decode.d5.loss_cls: 0.3530, decode.d5.loss_mask: 0.5476, decode.d5.loss_dice: 0.8073, decode.d6.loss_cls: 0.3425, decode.d6.loss_mask: 0.5461, decode.d6.loss_dice: 0.8007, decode.d7.loss_cls: 0.3441, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3380, decode.d8.loss_mask: 0.5452, decode.d8.loss_dice: 0.8047, loss: 18.4044 2022-05-01 10:28:03,205 - mmseg - INFO - Iter [34600/80000] lr: 8.148e-07, eta: 1 day, 0:33:18, time: 1.913, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3238, decode.loss_mask: 0.5355, decode.loss_dice: 0.7970, decode.d0.loss_cls: 1.3414, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9034, decode.d1.loss_cls: 0.4137, decode.d1.loss_mask: 0.5620, decode.d1.loss_dice: 0.8507, decode.d2.loss_cls: 0.3535, decode.d2.loss_mask: 0.5494, decode.d2.loss_dice: 0.8232, decode.d3.loss_cls: 0.3388, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.8024, decode.d4.loss_cls: 0.3329, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.8034, decode.d5.loss_cls: 0.3258, decode.d5.loss_mask: 0.5348, decode.d5.loss_dice: 0.7987, decode.d6.loss_cls: 0.3271, decode.d6.loss_mask: 0.5337, decode.d6.loss_dice: 0.7976, decode.d7.loss_cls: 0.3247, decode.d7.loss_mask: 0.5355, decode.d7.loss_dice: 0.7940, decode.d8.loss_cls: 0.3255, decode.d8.loss_mask: 0.5352, decode.d8.loss_dice: 0.7967, loss: 18.0192 2022-05-01 10:29:36,885 - mmseg - INFO - Iter [34650/80000] lr: 8.139e-07, eta: 1 day, 0:31:36, time: 1.872, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3455, decode.loss_mask: 0.5455, decode.loss_dice: 0.7976, decode.d0.loss_cls: 1.3686, decode.d0.loss_mask: 0.5927, decode.d0.loss_dice: 0.9166, decode.d1.loss_cls: 0.4339, decode.d1.loss_mask: 0.5704, decode.d1.loss_dice: 0.8596, decode.d2.loss_cls: 0.3927, decode.d2.loss_mask: 0.5542, decode.d2.loss_dice: 0.8244, decode.d3.loss_cls: 0.3677, decode.d3.loss_mask: 0.5518, decode.d3.loss_dice: 0.8101, decode.d4.loss_cls: 0.3607, decode.d4.loss_mask: 0.5466, decode.d4.loss_dice: 0.8037, decode.d5.loss_cls: 0.3548, decode.d5.loss_mask: 0.5451, decode.d5.loss_dice: 0.8002, decode.d6.loss_cls: 0.3503, decode.d6.loss_mask: 0.5438, decode.d6.loss_dice: 0.7976, decode.d7.loss_cls: 0.3486, decode.d7.loss_mask: 0.5443, decode.d7.loss_dice: 0.7986, decode.d8.loss_cls: 0.3475, decode.d8.loss_mask: 0.5472, decode.d8.loss_dice: 0.7995, loss: 18.4197 2022-05-01 10:31:10,945 - mmseg - INFO - Iter [34700/80000] lr: 8.130e-07, eta: 1 day, 0:29:54, time: 1.882, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3278, decode.loss_mask: 0.5556, decode.loss_dice: 0.8138, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.6071, decode.d0.loss_dice: 0.9305, decode.d1.loss_cls: 0.4337, decode.d1.loss_mask: 0.5837, decode.d1.loss_dice: 0.8773, decode.d2.loss_cls: 0.3834, decode.d2.loss_mask: 0.5693, decode.d2.loss_dice: 0.8449, decode.d3.loss_cls: 0.3546, decode.d3.loss_mask: 0.5627, decode.d3.loss_dice: 0.8311, decode.d4.loss_cls: 0.3461, decode.d4.loss_mask: 0.5629, decode.d4.loss_dice: 0.8235, decode.d5.loss_cls: 0.3408, decode.d5.loss_mask: 0.5597, decode.d5.loss_dice: 0.8209, decode.d6.loss_cls: 0.3310, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.8172, decode.d7.loss_cls: 0.3328, decode.d7.loss_mask: 0.5554, decode.d7.loss_dice: 0.8192, decode.d8.loss_cls: 0.3315, decode.d8.loss_mask: 0.5574, decode.d8.loss_dice: 0.8185, loss: 18.6311 2022-05-01 10:32:43,722 - mmseg - INFO - Iter [34750/80000] lr: 8.121e-07, eta: 1 day, 0:28:11, time: 1.855, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3582, decode.loss_mask: 0.5488, decode.loss_dice: 0.8001, decode.d0.loss_cls: 1.4140, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.9087, decode.d1.loss_cls: 0.4517, decode.d1.loss_mask: 0.5724, decode.d1.loss_dice: 0.8630, decode.d2.loss_cls: 0.4042, decode.d2.loss_mask: 0.5574, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3849, decode.d3.loss_mask: 0.5509, decode.d3.loss_dice: 0.8077, decode.d4.loss_cls: 0.3740, decode.d4.loss_mask: 0.5501, decode.d4.loss_dice: 0.8112, decode.d5.loss_cls: 0.3679, decode.d5.loss_mask: 0.5491, decode.d5.loss_dice: 0.8084, decode.d6.loss_cls: 0.3582, decode.d6.loss_mask: 0.5507, decode.d6.loss_dice: 0.8027, decode.d7.loss_cls: 0.3556, decode.d7.loss_mask: 0.5494, decode.d7.loss_dice: 0.8070, decode.d8.loss_cls: 0.3607, decode.d8.loss_mask: 0.5500, decode.d8.loss_dice: 0.8064, loss: 18.6417 2022-05-01 10:34:17,155 - mmseg - INFO - Iter [34800/80000] lr: 8.112e-07, eta: 1 day, 0:26:29, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3361, decode.loss_mask: 0.5544, decode.loss_dice: 0.8090, decode.d0.loss_cls: 1.3777, decode.d0.loss_mask: 0.6031, decode.d0.loss_dice: 0.9182, decode.d1.loss_cls: 0.4129, decode.d1.loss_mask: 0.5807, decode.d1.loss_dice: 0.8728, decode.d2.loss_cls: 0.3748, decode.d2.loss_mask: 0.5661, decode.d2.loss_dice: 0.8407, decode.d3.loss_cls: 0.3570, decode.d3.loss_mask: 0.5629, decode.d3.loss_dice: 0.8270, decode.d4.loss_cls: 0.3460, decode.d4.loss_mask: 0.5590, decode.d4.loss_dice: 0.8224, decode.d5.loss_cls: 0.3432, decode.d5.loss_mask: 0.5587, decode.d5.loss_dice: 0.8192, decode.d6.loss_cls: 0.3397, decode.d6.loss_mask: 0.5541, decode.d6.loss_dice: 0.8114, decode.d7.loss_cls: 0.3402, decode.d7.loss_mask: 0.5570, decode.d7.loss_dice: 0.8172, decode.d8.loss_cls: 0.3365, decode.d8.loss_mask: 0.5548, decode.d8.loss_dice: 0.8121, loss: 18.5648 2022-05-01 10:35:50,346 - mmseg - INFO - Iter [34850/80000] lr: 8.103e-07, eta: 1 day, 0:24:46, time: 1.865, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3314, decode.loss_mask: 0.5146, decode.loss_dice: 0.7724, decode.d0.loss_cls: 1.3453, decode.d0.loss_mask: 0.5550, decode.d0.loss_dice: 0.8753, decode.d1.loss_cls: 0.4141, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.8282, decode.d2.loss_cls: 0.3711, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.8030, decode.d3.loss_cls: 0.3606, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7821, decode.d4.loss_cls: 0.3466, decode.d4.loss_mask: 0.5188, decode.d4.loss_dice: 0.7794, decode.d5.loss_cls: 0.3396, decode.d5.loss_mask: 0.5170, decode.d5.loss_dice: 0.7800, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5140, decode.d6.loss_dice: 0.7779, decode.d7.loss_cls: 0.3318, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7766, decode.d8.loss_cls: 0.3353, decode.d8.loss_mask: 0.5150, decode.d8.loss_dice: 0.7740, loss: 17.6991 2022-05-01 10:37:23,076 - mmseg - INFO - Iter [34900/80000] lr: 8.094e-07, eta: 1 day, 0:23:03, time: 1.854, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3394, decode.loss_mask: 0.5127, decode.loss_dice: 0.7873, decode.d0.loss_cls: 1.3888, decode.d0.loss_mask: 0.5619, decode.d0.loss_dice: 0.9007, decode.d1.loss_cls: 0.4273, decode.d1.loss_mask: 0.5384, decode.d1.loss_dice: 0.8586, decode.d2.loss_cls: 0.3765, decode.d2.loss_mask: 0.5233, decode.d2.loss_dice: 0.8241, decode.d3.loss_cls: 0.3690, decode.d3.loss_mask: 0.5177, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3567, decode.d4.loss_mask: 0.5127, decode.d4.loss_dice: 0.7977, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5137, decode.d5.loss_dice: 0.7927, decode.d6.loss_cls: 0.3408, decode.d6.loss_mask: 0.5138, decode.d6.loss_dice: 0.7885, decode.d7.loss_cls: 0.3417, decode.d7.loss_mask: 0.5138, decode.d7.loss_dice: 0.7889, decode.d8.loss_cls: 0.3378, decode.d8.loss_mask: 0.5133, decode.d8.loss_dice: 0.7911, loss: 17.9773 2022-05-01 10:38:57,165 - mmseg - INFO - Iter [34950/80000] lr: 8.086e-07, eta: 1 day, 0:21:21, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3387, decode.loss_mask: 0.5624, decode.loss_dice: 0.7993, decode.d0.loss_cls: 1.3786, decode.d0.loss_mask: 0.6114, decode.d0.loss_dice: 0.9164, decode.d1.loss_cls: 0.4218, decode.d1.loss_mask: 0.5975, decode.d1.loss_dice: 0.8732, decode.d2.loss_cls: 0.3771, decode.d2.loss_mask: 0.5798, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.3624, decode.d3.loss_mask: 0.5678, decode.d3.loss_dice: 0.8185, decode.d4.loss_cls: 0.3513, decode.d4.loss_mask: 0.5674, decode.d4.loss_dice: 0.8143, decode.d5.loss_cls: 0.3439, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8157, decode.d6.loss_cls: 0.3348, decode.d6.loss_mask: 0.5639, decode.d6.loss_dice: 0.8059, decode.d7.loss_cls: 0.3368, decode.d7.loss_mask: 0.5621, decode.d7.loss_dice: 0.8090, decode.d8.loss_cls: 0.3372, decode.d8.loss_mask: 0.5627, decode.d8.loss_dice: 0.8026, loss: 18.6174 2022-05-01 10:40:31,322 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-05-01 10:40:49,011 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 10:40:49,014 - mmseg - INFO - Iter [35000/80000] lr: 8.077e-07, eta: 1 day, 0:20:03, time: 2.235, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3439, decode.loss_mask: 0.5440, decode.loss_dice: 0.7883, decode.d0.loss_cls: 1.3456, decode.d0.loss_mask: 0.5944, decode.d0.loss_dice: 0.8970, decode.d1.loss_cls: 0.4354, decode.d1.loss_mask: 0.5721, decode.d1.loss_dice: 0.8426, decode.d2.loss_cls: 0.3800, decode.d2.loss_mask: 0.5580, decode.d2.loss_dice: 0.8158, decode.d3.loss_cls: 0.3604, decode.d3.loss_mask: 0.5475, decode.d3.loss_dice: 0.7973, decode.d4.loss_cls: 0.3594, decode.d4.loss_mask: 0.5458, decode.d4.loss_dice: 0.7961, decode.d5.loss_cls: 0.3528, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.7934, decode.d6.loss_cls: 0.3424, decode.d6.loss_mask: 0.5418, decode.d6.loss_dice: 0.7852, decode.d7.loss_cls: 0.3462, decode.d7.loss_mask: 0.5412, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3449, decode.d8.loss_mask: 0.5426, decode.d8.loss_dice: 0.7855, loss: 18.2270 2022-05-01 10:42:23,031 - mmseg - INFO - Iter [35050/80000] lr: 8.068e-07, eta: 1 day, 0:18:21, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3695, decode.loss_mask: 0.5476, decode.loss_dice: 0.7889, decode.d0.loss_cls: 1.4058, decode.d0.loss_mask: 0.6021, decode.d0.loss_dice: 0.8994, decode.d1.loss_cls: 0.4662, decode.d1.loss_mask: 0.5774, decode.d1.loss_dice: 0.8559, decode.d2.loss_cls: 0.4094, decode.d2.loss_mask: 0.5643, decode.d2.loss_dice: 0.8187, decode.d3.loss_cls: 0.3947, decode.d3.loss_mask: 0.5597, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5613, decode.d4.loss_dice: 0.8037, decode.d5.loss_cls: 0.3769, decode.d5.loss_mask: 0.5553, decode.d5.loss_dice: 0.8086, decode.d6.loss_cls: 0.3713, decode.d6.loss_mask: 0.5555, decode.d6.loss_dice: 0.7932, decode.d7.loss_cls: 0.3715, decode.d7.loss_mask: 0.5510, decode.d7.loss_dice: 0.7919, decode.d8.loss_cls: 0.3709, decode.d8.loss_mask: 0.5499, decode.d8.loss_dice: 0.7909, loss: 18.7009 2022-05-01 10:43:56,412 - mmseg - INFO - Iter [35100/80000] lr: 8.059e-07, eta: 1 day, 0:16:39, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3630, decode.loss_mask: 0.5445, decode.loss_dice: 0.8150, decode.d0.loss_cls: 1.4084, decode.d0.loss_mask: 0.5943, decode.d0.loss_dice: 0.9289, decode.d1.loss_cls: 0.4508, decode.d1.loss_mask: 0.5725, decode.d1.loss_dice: 0.8850, decode.d2.loss_cls: 0.4001, decode.d2.loss_mask: 0.5613, decode.d2.loss_dice: 0.8450, decode.d3.loss_cls: 0.3859, decode.d3.loss_mask: 0.5534, decode.d3.loss_dice: 0.8250, decode.d4.loss_cls: 0.3784, decode.d4.loss_mask: 0.5500, decode.d4.loss_dice: 0.8215, decode.d5.loss_cls: 0.3713, decode.d5.loss_mask: 0.5477, decode.d5.loss_dice: 0.8250, decode.d6.loss_cls: 0.3664, decode.d6.loss_mask: 0.5463, decode.d6.loss_dice: 0.8110, decode.d7.loss_cls: 0.3633, decode.d7.loss_mask: 0.5469, decode.d7.loss_dice: 0.8198, decode.d8.loss_cls: 0.3588, decode.d8.loss_mask: 0.5478, decode.d8.loss_dice: 0.8135, loss: 18.8008 2022-05-01 10:45:28,737 - mmseg - INFO - Iter [35150/80000] lr: 8.050e-07, eta: 1 day, 0:14:55, time: 1.846, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3217, decode.loss_mask: 0.5389, decode.loss_dice: 0.7806, decode.d0.loss_cls: 1.3431, decode.d0.loss_mask: 0.5831, decode.d0.loss_dice: 0.8815, decode.d1.loss_cls: 0.4013, decode.d1.loss_mask: 0.5637, decode.d1.loss_dice: 0.8352, decode.d2.loss_cls: 0.3582, decode.d2.loss_mask: 0.5532, decode.d2.loss_dice: 0.8084, decode.d3.loss_cls: 0.3430, decode.d3.loss_mask: 0.5435, decode.d3.loss_dice: 0.7945, decode.d4.loss_cls: 0.3368, decode.d4.loss_mask: 0.5425, decode.d4.loss_dice: 0.7859, decode.d5.loss_cls: 0.3321, decode.d5.loss_mask: 0.5395, decode.d5.loss_dice: 0.7862, decode.d6.loss_cls: 0.3303, decode.d6.loss_mask: 0.5385, decode.d6.loss_dice: 0.7825, decode.d7.loss_cls: 0.3238, decode.d7.loss_mask: 0.5392, decode.d7.loss_dice: 0.7802, decode.d8.loss_cls: 0.3266, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.7746, loss: 17.9070 2022-05-01 10:47:03,161 - mmseg - INFO - Iter [35200/80000] lr: 8.041e-07, eta: 1 day, 0:13:14, time: 1.889, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3224, decode.loss_mask: 0.5312, decode.loss_dice: 0.7682, decode.d0.loss_cls: 1.3534, decode.d0.loss_mask: 0.5847, decode.d0.loss_dice: 0.8874, decode.d1.loss_cls: 0.4165, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8349, decode.d2.loss_cls: 0.3659, decode.d2.loss_mask: 0.5425, decode.d2.loss_dice: 0.8060, decode.d3.loss_cls: 0.3512, decode.d3.loss_mask: 0.5401, decode.d3.loss_dice: 0.7848, decode.d4.loss_cls: 0.3377, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.7821, decode.d5.loss_cls: 0.3364, decode.d5.loss_mask: 0.5354, decode.d5.loss_dice: 0.7770, decode.d6.loss_cls: 0.3277, decode.d6.loss_mask: 0.5350, decode.d6.loss_dice: 0.7711, decode.d7.loss_cls: 0.3266, decode.d7.loss_mask: 0.5323, decode.d7.loss_dice: 0.7699, decode.d8.loss_cls: 0.3258, decode.d8.loss_mask: 0.5335, decode.d8.loss_dice: 0.7748, loss: 17.8482 2022-05-01 10:48:36,032 - mmseg - INFO - Iter [35250/80000] lr: 8.032e-07, eta: 1 day, 0:11:31, time: 1.857, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3394, decode.loss_mask: 0.5265, decode.loss_dice: 0.7764, decode.d0.loss_cls: 1.3850, decode.d0.loss_mask: 0.5745, decode.d0.loss_dice: 0.8877, decode.d1.loss_cls: 0.4252, decode.d1.loss_mask: 0.5551, decode.d1.loss_dice: 0.8371, decode.d2.loss_cls: 0.3746, decode.d2.loss_mask: 0.5427, decode.d2.loss_dice: 0.8032, decode.d3.loss_cls: 0.3690, decode.d3.loss_mask: 0.5285, decode.d3.loss_dice: 0.7888, decode.d4.loss_cls: 0.3600, decode.d4.loss_mask: 0.5300, decode.d4.loss_dice: 0.7867, decode.d5.loss_cls: 0.3426, decode.d5.loss_mask: 0.5304, decode.d5.loss_dice: 0.7888, decode.d6.loss_cls: 0.3400, decode.d6.loss_mask: 0.5272, decode.d6.loss_dice: 0.7804, decode.d7.loss_cls: 0.3373, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.7810, decode.d8.loss_cls: 0.3436, decode.d8.loss_mask: 0.5259, decode.d8.loss_dice: 0.7762, loss: 17.9916 2022-05-01 10:50:08,840 - mmseg - INFO - Iter [35300/80000] lr: 8.023e-07, eta: 1 day, 0:09:48, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3214, decode.loss_mask: 0.5551, decode.loss_dice: 0.8031, decode.d0.loss_cls: 1.3810, decode.d0.loss_mask: 0.6049, decode.d0.loss_dice: 0.9052, decode.d1.loss_cls: 0.4091, decode.d1.loss_mask: 0.5827, decode.d1.loss_dice: 0.8568, decode.d2.loss_cls: 0.3614, decode.d2.loss_mask: 0.5637, decode.d2.loss_dice: 0.8253, decode.d3.loss_cls: 0.3418, decode.d3.loss_mask: 0.5628, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3334, decode.d4.loss_mask: 0.5617, decode.d4.loss_dice: 0.8178, decode.d5.loss_cls: 0.3299, decode.d5.loss_mask: 0.5606, decode.d5.loss_dice: 0.8110, decode.d6.loss_cls: 0.3252, decode.d6.loss_mask: 0.5577, decode.d6.loss_dice: 0.8045, decode.d7.loss_cls: 0.3234, decode.d7.loss_mask: 0.5588, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.3255, decode.d8.loss_mask: 0.5552, decode.d8.loss_dice: 0.8026, loss: 18.3615 2022-05-01 10:51:43,163 - mmseg - INFO - Iter [35350/80000] lr: 8.014e-07, eta: 1 day, 0:08:07, time: 1.888, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3264, decode.loss_mask: 0.5303, decode.loss_dice: 0.7973, decode.d0.loss_cls: 1.3625, decode.d0.loss_mask: 0.5791, decode.d0.loss_dice: 0.8985, decode.d1.loss_cls: 0.4213, decode.d1.loss_mask: 0.5575, decode.d1.loss_dice: 0.8461, decode.d2.loss_cls: 0.3759, decode.d2.loss_mask: 0.5420, decode.d2.loss_dice: 0.8278, decode.d3.loss_cls: 0.3586, decode.d3.loss_mask: 0.5346, decode.d3.loss_dice: 0.8120, decode.d4.loss_cls: 0.3477, decode.d4.loss_mask: 0.5328, decode.d4.loss_dice: 0.8086, decode.d5.loss_cls: 0.3372, decode.d5.loss_mask: 0.5320, decode.d5.loss_dice: 0.8089, decode.d6.loss_cls: 0.3316, decode.d6.loss_mask: 0.5315, decode.d6.loss_dice: 0.7975, decode.d7.loss_cls: 0.3299, decode.d7.loss_mask: 0.5292, decode.d7.loss_dice: 0.7990, decode.d8.loss_cls: 0.3272, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.7999, loss: 18.1167 2022-05-01 10:53:19,691 - mmseg - INFO - Iter [35400/80000] lr: 8.005e-07, eta: 1 day, 0:06:29, time: 1.930, data_time: 0.062, memory: 64716, decode.loss_cls: 0.3279, decode.loss_mask: 0.5438, decode.loss_dice: 0.7821, decode.d0.loss_cls: 1.3242, decode.d0.loss_mask: 0.6010, decode.d0.loss_dice: 0.8956, decode.d1.loss_cls: 0.4085, decode.d1.loss_mask: 0.5770, decode.d1.loss_dice: 0.8397, decode.d2.loss_cls: 0.3614, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8118, decode.d3.loss_cls: 0.3468, decode.d3.loss_mask: 0.5514, decode.d3.loss_dice: 0.7910, decode.d4.loss_cls: 0.3423, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.7871, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5495, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.3289, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.7812, decode.d7.loss_cls: 0.3273, decode.d7.loss_mask: 0.5449, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3289, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.7800, loss: 18.0373 2022-05-01 10:54:53,471 - mmseg - INFO - Iter [35450/80000] lr: 7.996e-07, eta: 1 day, 0:04:47, time: 1.874, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3371, decode.loss_mask: 0.5538, decode.loss_dice: 0.7946, decode.d0.loss_cls: 1.3781, decode.d0.loss_mask: 0.6065, decode.d0.loss_dice: 0.9074, decode.d1.loss_cls: 0.4202, decode.d1.loss_mask: 0.5817, decode.d1.loss_dice: 0.8563, decode.d2.loss_cls: 0.3849, decode.d2.loss_mask: 0.5670, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3651, decode.d3.loss_mask: 0.5596, decode.d3.loss_dice: 0.8053, decode.d4.loss_cls: 0.3589, decode.d4.loss_mask: 0.5582, decode.d4.loss_dice: 0.8045, decode.d5.loss_cls: 0.3471, decode.d5.loss_mask: 0.5597, decode.d5.loss_dice: 0.8062, decode.d6.loss_cls: 0.3428, decode.d6.loss_mask: 0.5545, decode.d6.loss_dice: 0.7952, decode.d7.loss_cls: 0.3384, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.7991, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5569, decode.d8.loss_dice: 0.8001, loss: 18.4574 2022-05-01 10:56:28,785 - mmseg - INFO - Iter [35500/80000] lr: 7.987e-07, eta: 1 day, 0:03:07, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3230, decode.loss_mask: 0.5192, decode.loss_dice: 0.7883, decode.d0.loss_cls: 1.3500, decode.d0.loss_mask: 0.5621, decode.d0.loss_dice: 0.8879, decode.d1.loss_cls: 0.4192, decode.d1.loss_mask: 0.5436, decode.d1.loss_dice: 0.8495, decode.d2.loss_cls: 0.3628, decode.d2.loss_mask: 0.5350, decode.d2.loss_dice: 0.8176, decode.d3.loss_cls: 0.3453, decode.d3.loss_mask: 0.5243, decode.d3.loss_dice: 0.7971, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5234, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3265, decode.d5.loss_mask: 0.5277, decode.d5.loss_dice: 0.7968, decode.d6.loss_cls: 0.3179, decode.d6.loss_mask: 0.5233, decode.d6.loss_dice: 0.7908, decode.d7.loss_cls: 0.3244, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.7919, decode.d8.loss_cls: 0.3195, decode.d8.loss_mask: 0.5210, decode.d8.loss_dice: 0.7934, loss: 17.8389 2022-05-01 10:58:02,183 - mmseg - INFO - Iter [35550/80000] lr: 7.978e-07, eta: 1 day, 0:01:25, time: 1.869, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3173, decode.loss_mask: 0.5370, decode.loss_dice: 0.7681, decode.d0.loss_cls: 1.3454, decode.d0.loss_mask: 0.5836, decode.d0.loss_dice: 0.8800, decode.d1.loss_cls: 0.4085, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8243, decode.d2.loss_cls: 0.3700, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.7930, decode.d3.loss_cls: 0.3453, decode.d3.loss_mask: 0.5418, decode.d3.loss_dice: 0.7745, decode.d4.loss_cls: 0.3339, decode.d4.loss_mask: 0.5380, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.3277, decode.d5.loss_mask: 0.5339, decode.d5.loss_dice: 0.7734, decode.d6.loss_cls: 0.3241, decode.d6.loss_mask: 0.5358, decode.d6.loss_dice: 0.7696, decode.d7.loss_cls: 0.3169, decode.d7.loss_mask: 0.5346, decode.d7.loss_dice: 0.7717, decode.d8.loss_cls: 0.3179, decode.d8.loss_mask: 0.5351, decode.d8.loss_dice: 0.7662, loss: 17.7495 2022-05-01 10:59:36,740 - mmseg - INFO - Iter [35600/80000] lr: 7.969e-07, eta: 23:59:44, time: 1.892, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3471, decode.loss_mask: 0.5184, decode.loss_dice: 0.7869, decode.d0.loss_cls: 1.3791, decode.d0.loss_mask: 0.5633, decode.d0.loss_dice: 0.9025, decode.d1.loss_cls: 0.4415, decode.d1.loss_mask: 0.5465, decode.d1.loss_dice: 0.8526, decode.d2.loss_cls: 0.3964, decode.d2.loss_mask: 0.5344, decode.d2.loss_dice: 0.8193, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5285, decode.d3.loss_dice: 0.8029, decode.d4.loss_cls: 0.3583, decode.d4.loss_mask: 0.5266, decode.d4.loss_dice: 0.8014, decode.d5.loss_cls: 0.3589, decode.d5.loss_mask: 0.5251, decode.d5.loss_dice: 0.7986, decode.d6.loss_cls: 0.3582, decode.d6.loss_mask: 0.5227, decode.d6.loss_dice: 0.7911, decode.d7.loss_cls: 0.3546, decode.d7.loss_mask: 0.5243, decode.d7.loss_dice: 0.7866, decode.d8.loss_cls: 0.3500, decode.d8.loss_mask: 0.5223, decode.d8.loss_dice: 0.7865, loss: 18.1547 2022-05-01 11:01:11,211 - mmseg - INFO - Iter [35650/80000] lr: 7.960e-07, eta: 23:58:04, time: 1.890, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3214, decode.loss_mask: 0.5436, decode.loss_dice: 0.7935, decode.d0.loss_cls: 1.3422, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.8978, decode.d1.loss_cls: 0.4091, decode.d1.loss_mask: 0.5758, decode.d1.loss_dice: 0.8567, decode.d2.loss_cls: 0.3587, decode.d2.loss_mask: 0.5575, decode.d2.loss_dice: 0.8287, decode.d3.loss_cls: 0.3411, decode.d3.loss_mask: 0.5501, decode.d3.loss_dice: 0.8095, decode.d4.loss_cls: 0.3322, decode.d4.loss_mask: 0.5478, decode.d4.loss_dice: 0.8048, decode.d5.loss_cls: 0.3283, decode.d5.loss_mask: 0.5471, decode.d5.loss_dice: 0.8053, decode.d6.loss_cls: 0.3235, decode.d6.loss_mask: 0.5452, decode.d6.loss_dice: 0.8011, decode.d7.loss_cls: 0.3244, decode.d7.loss_mask: 0.5455, decode.d7.loss_dice: 0.7979, decode.d8.loss_cls: 0.3216, decode.d8.loss_mask: 0.5446, decode.d8.loss_dice: 0.7969, loss: 18.1436 2022-05-01 11:02:45,545 - mmseg - INFO - Iter [35700/80000] lr: 7.951e-07, eta: 23:56:23, time: 1.885, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3120, decode.loss_mask: 0.5025, decode.loss_dice: 0.7686, decode.d0.loss_cls: 1.3546, decode.d0.loss_mask: 0.5558, decode.d0.loss_dice: 0.8862, decode.d1.loss_cls: 0.4064, decode.d1.loss_mask: 0.5299, decode.d1.loss_dice: 0.8324, decode.d2.loss_cls: 0.3576, decode.d2.loss_mask: 0.5178, decode.d2.loss_dice: 0.8036, decode.d3.loss_cls: 0.3373, decode.d3.loss_mask: 0.5111, decode.d3.loss_dice: 0.7870, decode.d4.loss_cls: 0.3255, decode.d4.loss_mask: 0.5118, decode.d4.loss_dice: 0.7838, decode.d5.loss_cls: 0.3210, decode.d5.loss_mask: 0.5058, decode.d5.loss_dice: 0.7759, decode.d6.loss_cls: 0.3150, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7717, decode.d7.loss_cls: 0.3168, decode.d7.loss_mask: 0.5016, decode.d7.loss_dice: 0.7715, decode.d8.loss_cls: 0.3122, decode.d8.loss_mask: 0.5018, decode.d8.loss_dice: 0.7708, loss: 17.4488 2022-05-01 11:04:19,872 - mmseg - INFO - Iter [35750/80000] lr: 7.942e-07, eta: 23:54:42, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3433, decode.loss_mask: 0.5407, decode.loss_dice: 0.7925, decode.d0.loss_cls: 1.3798, decode.d0.loss_mask: 0.5936, decode.d0.loss_dice: 0.9112, decode.d1.loss_cls: 0.4317, decode.d1.loss_mask: 0.5683, decode.d1.loss_dice: 0.8607, decode.d2.loss_cls: 0.3895, decode.d2.loss_mask: 0.5533, decode.d2.loss_dice: 0.8280, decode.d3.loss_cls: 0.3672, decode.d3.loss_mask: 0.5477, decode.d3.loss_dice: 0.8073, decode.d4.loss_cls: 0.3628, decode.d4.loss_mask: 0.5465, decode.d4.loss_dice: 0.8062, decode.d5.loss_cls: 0.3507, decode.d5.loss_mask: 0.5434, decode.d5.loss_dice: 0.8089, decode.d6.loss_cls: 0.3482, decode.d6.loss_mask: 0.5399, decode.d6.loss_dice: 0.8008, decode.d7.loss_cls: 0.3406, decode.d7.loss_mask: 0.5409, decode.d7.loss_dice: 0.7975, decode.d8.loss_cls: 0.3465, decode.d8.loss_mask: 0.5412, decode.d8.loss_dice: 0.7930, loss: 18.3820 2022-05-01 11:05:55,459 - mmseg - INFO - Iter [35800/80000] lr: 7.933e-07, eta: 23:53:02, time: 1.912, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3089, decode.loss_mask: 0.5531, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.3653, decode.d0.loss_mask: 0.6000, decode.d0.loss_dice: 0.9119, decode.d1.loss_cls: 0.4006, decode.d1.loss_mask: 0.5753, decode.d1.loss_dice: 0.8662, decode.d2.loss_cls: 0.3475, decode.d2.loss_mask: 0.5658, decode.d2.loss_dice: 0.8313, decode.d3.loss_cls: 0.3294, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8173, decode.d4.loss_cls: 0.3169, decode.d4.loss_mask: 0.5555, decode.d4.loss_dice: 0.8193, decode.d5.loss_cls: 0.3126, decode.d5.loss_mask: 0.5576, decode.d5.loss_dice: 0.8197, decode.d6.loss_cls: 0.3127, decode.d6.loss_mask: 0.5554, decode.d6.loss_dice: 0.8116, decode.d7.loss_cls: 0.3096, decode.d7.loss_mask: 0.5550, decode.d7.loss_dice: 0.8148, decode.d8.loss_cls: 0.3062, decode.d8.loss_mask: 0.5531, decode.d8.loss_dice: 0.8135, loss: 18.2564 2022-05-01 11:07:31,747 - mmseg - INFO - Iter [35850/80000] lr: 7.924e-07, eta: 23:51:24, time: 1.925, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3052, decode.loss_mask: 0.5180, decode.loss_dice: 0.7575, decode.d0.loss_cls: 1.3218, decode.d0.loss_mask: 0.5644, decode.d0.loss_dice: 0.8600, decode.d1.loss_cls: 0.3930, decode.d1.loss_mask: 0.5477, decode.d1.loss_dice: 0.8136, decode.d2.loss_cls: 0.3442, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.7905, decode.d3.loss_cls: 0.3247, decode.d3.loss_mask: 0.5264, decode.d3.loss_dice: 0.7677, decode.d4.loss_cls: 0.3184, decode.d4.loss_mask: 0.5280, decode.d4.loss_dice: 0.7714, decode.d5.loss_cls: 0.3161, decode.d5.loss_mask: 0.5256, decode.d5.loss_dice: 0.7667, decode.d6.loss_cls: 0.3133, decode.d6.loss_mask: 0.5189, decode.d6.loss_dice: 0.7557, decode.d7.loss_cls: 0.3113, decode.d7.loss_mask: 0.5200, decode.d7.loss_dice: 0.7536, decode.d8.loss_cls: 0.3069, decode.d8.loss_mask: 0.5180, decode.d8.loss_dice: 0.7561, loss: 17.3503 2022-05-01 11:09:05,711 - mmseg - INFO - Iter [35900/80000] lr: 7.915e-07, eta: 23:49:43, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3333, decode.loss_mask: 0.5193, decode.loss_dice: 0.7560, decode.d0.loss_cls: 1.3229, decode.d0.loss_mask: 0.5633, decode.d0.loss_dice: 0.8653, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5468, decode.d1.loss_dice: 0.8231, decode.d2.loss_cls: 0.3685, decode.d2.loss_mask: 0.5311, decode.d2.loss_dice: 0.7905, decode.d3.loss_cls: 0.3523, decode.d3.loss_mask: 0.5236, decode.d3.loss_dice: 0.7736, decode.d4.loss_cls: 0.3437, decode.d4.loss_mask: 0.5236, decode.d4.loss_dice: 0.7694, decode.d5.loss_cls: 0.3357, decode.d5.loss_mask: 0.5215, decode.d5.loss_dice: 0.7657, decode.d6.loss_cls: 0.3376, decode.d6.loss_mask: 0.5168, decode.d6.loss_dice: 0.7562, decode.d7.loss_cls: 0.3340, decode.d7.loss_mask: 0.5173, decode.d7.loss_dice: 0.7585, decode.d8.loss_cls: 0.3323, decode.d8.loss_mask: 0.5214, decode.d8.loss_dice: 0.7581, loss: 17.5757 2022-05-01 11:10:41,103 - mmseg - INFO - Iter [35950/80000] lr: 7.906e-07, eta: 23:48:03, time: 1.905, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3255, decode.loss_mask: 0.5425, decode.loss_dice: 0.8148, decode.d0.loss_cls: 1.3588, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.9155, decode.d1.loss_cls: 0.4242, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8677, decode.d2.loss_cls: 0.3634, decode.d2.loss_mask: 0.5582, decode.d2.loss_dice: 0.8424, decode.d3.loss_cls: 0.3461, decode.d3.loss_mask: 0.5494, decode.d3.loss_dice: 0.8242, decode.d4.loss_cls: 0.3357, decode.d4.loss_mask: 0.5491, decode.d4.loss_dice: 0.8200, decode.d5.loss_cls: 0.3317, decode.d5.loss_mask: 0.5464, decode.d5.loss_dice: 0.8212, decode.d6.loss_cls: 0.3282, decode.d6.loss_mask: 0.5434, decode.d6.loss_dice: 0.8167, decode.d7.loss_cls: 0.3277, decode.d7.loss_mask: 0.5453, decode.d7.loss_dice: 0.8187, decode.d8.loss_cls: 0.3318, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.8112, loss: 18.3641 2022-05-01 11:12:15,122 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-05-01 11:12:33,846 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 11:12:33,850 - mmseg - INFO - Iter [36000/80000] lr: 7.897e-07, eta: 23:46:45, time: 2.256, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3084, decode.loss_mask: 0.5378, decode.loss_dice: 0.7786, decode.d0.loss_cls: 1.3368, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.8787, decode.d1.loss_cls: 0.4009, decode.d1.loss_mask: 0.5575, decode.d1.loss_dice: 0.8365, decode.d2.loss_cls: 0.3517, decode.d2.loss_mask: 0.5431, decode.d2.loss_dice: 0.8072, decode.d3.loss_cls: 0.3302, decode.d3.loss_mask: 0.5418, decode.d3.loss_dice: 0.7903, decode.d4.loss_cls: 0.3199, decode.d4.loss_mask: 0.5413, decode.d4.loss_dice: 0.7911, decode.d5.loss_cls: 0.3139, decode.d5.loss_mask: 0.5414, decode.d5.loss_dice: 0.7886, decode.d6.loss_cls: 0.3099, decode.d6.loss_mask: 0.5369, decode.d6.loss_dice: 0.7807, decode.d7.loss_cls: 0.3071, decode.d7.loss_mask: 0.5371, decode.d7.loss_dice: 0.7838, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.5380, decode.d8.loss_dice: 0.7820, loss: 17.7609 2022-05-01 11:14:08,130 - mmseg - INFO - Iter [36050/80000] lr: 7.888e-07, eta: 23:45:04, time: 1.887, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3452, decode.loss_mask: 0.5200, decode.loss_dice: 0.7794, decode.d0.loss_cls: 1.4023, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8953, decode.d1.loss_cls: 0.4345, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.8475, decode.d2.loss_cls: 0.3913, decode.d2.loss_mask: 0.5335, decode.d2.loss_dice: 0.8134, decode.d3.loss_cls: 0.3667, decode.d3.loss_mask: 0.5244, decode.d3.loss_dice: 0.8010, decode.d4.loss_cls: 0.3603, decode.d4.loss_mask: 0.5221, decode.d4.loss_dice: 0.7932, decode.d5.loss_cls: 0.3568, decode.d5.loss_mask: 0.5223, decode.d5.loss_dice: 0.7884, decode.d6.loss_cls: 0.3527, decode.d6.loss_mask: 0.5171, decode.d6.loss_dice: 0.7773, decode.d7.loss_cls: 0.3570, decode.d7.loss_mask: 0.5192, decode.d7.loss_dice: 0.7798, decode.d8.loss_cls: 0.3484, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7808, loss: 18.0619 2022-05-01 11:15:41,552 - mmseg - INFO - Iter [36100/80000] lr: 7.879e-07, eta: 23:43:22, time: 1.867, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3330, decode.loss_mask: 0.5374, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.4176, decode.d1.loss_mask: 0.5608, decode.d1.loss_dice: 0.8392, decode.d2.loss_cls: 0.3712, decode.d2.loss_mask: 0.5484, decode.d2.loss_dice: 0.8090, decode.d3.loss_cls: 0.3520, decode.d3.loss_mask: 0.5463, decode.d3.loss_dice: 0.7975, decode.d4.loss_cls: 0.3404, decode.d4.loss_mask: 0.5430, decode.d4.loss_dice: 0.7945, decode.d5.loss_cls: 0.3374, decode.d5.loss_mask: 0.5455, decode.d5.loss_dice: 0.7925, decode.d6.loss_cls: 0.3340, decode.d6.loss_mask: 0.5391, decode.d6.loss_dice: 0.7874, decode.d7.loss_cls: 0.3313, decode.d7.loss_mask: 0.5391, decode.d7.loss_dice: 0.7863, decode.d8.loss_cls: 0.3294, decode.d8.loss_mask: 0.5404, decode.d8.loss_dice: 0.7839, loss: 18.0630 2022-05-01 11:17:16,522 - mmseg - INFO - Iter [36150/80000] lr: 7.870e-07, eta: 23:41:42, time: 1.898, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3630, decode.loss_mask: 0.5280, decode.loss_dice: 0.7980, decode.d0.loss_cls: 1.3991, decode.d0.loss_mask: 0.5840, decode.d0.loss_dice: 0.9140, decode.d1.loss_cls: 0.4470, decode.d1.loss_mask: 0.5514, decode.d1.loss_dice: 0.8514, decode.d2.loss_cls: 0.4071, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8218, decode.d3.loss_cls: 0.3904, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.8094, decode.d4.loss_cls: 0.3788, decode.d4.loss_mask: 0.5292, decode.d4.loss_dice: 0.8051, decode.d5.loss_cls: 0.3806, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.8023, decode.d6.loss_cls: 0.3685, decode.d6.loss_mask: 0.5272, decode.d6.loss_dice: 0.7984, decode.d7.loss_cls: 0.3684, decode.d7.loss_mask: 0.5279, decode.d7.loss_dice: 0.8029, decode.d8.loss_cls: 0.3676, decode.d8.loss_mask: 0.5271, decode.d8.loss_dice: 0.7974, loss: 18.4478 2022-05-01 11:18:50,324 - mmseg - INFO - Iter [36200/80000] lr: 7.861e-07, eta: 23:40:00, time: 1.878, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3382, decode.loss_mask: 0.5461, decode.loss_dice: 0.7848, decode.d0.loss_cls: 1.3622, decode.d0.loss_mask: 0.6005, decode.d0.loss_dice: 0.8972, decode.d1.loss_cls: 0.4134, decode.d1.loss_mask: 0.5794, decode.d1.loss_dice: 0.8510, decode.d2.loss_cls: 0.3778, decode.d2.loss_mask: 0.5594, decode.d2.loss_dice: 0.8138, decode.d3.loss_cls: 0.3515, decode.d3.loss_mask: 0.5536, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3477, decode.d4.loss_mask: 0.5480, decode.d4.loss_dice: 0.7947, decode.d5.loss_cls: 0.3403, decode.d5.loss_mask: 0.5464, decode.d5.loss_dice: 0.7977, decode.d6.loss_cls: 0.3384, decode.d6.loss_mask: 0.5458, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3333, decode.d7.loss_mask: 0.5466, decode.d7.loss_dice: 0.7890, decode.d8.loss_cls: 0.3380, decode.d8.loss_mask: 0.5445, decode.d8.loss_dice: 0.7874, loss: 18.2188 2022-05-01 11:20:24,463 - mmseg - INFO - Iter [36250/80000] lr: 7.852e-07, eta: 23:38:19, time: 1.883, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3321, decode.loss_mask: 0.5321, decode.loss_dice: 0.7664, decode.d0.loss_cls: 1.3604, decode.d0.loss_mask: 0.5866, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.4175, decode.d1.loss_mask: 0.5624, decode.d1.loss_dice: 0.8293, decode.d2.loss_cls: 0.3687, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.7961, decode.d3.loss_cls: 0.3445, decode.d3.loss_mask: 0.5424, decode.d3.loss_dice: 0.7874, decode.d4.loss_cls: 0.3394, decode.d4.loss_mask: 0.5391, decode.d4.loss_dice: 0.7832, decode.d5.loss_cls: 0.3401, decode.d5.loss_mask: 0.5324, decode.d5.loss_dice: 0.7761, decode.d6.loss_cls: 0.3330, decode.d6.loss_mask: 0.5333, decode.d6.loss_dice: 0.7661, decode.d7.loss_cls: 0.3287, decode.d7.loss_mask: 0.5334, decode.d7.loss_dice: 0.7629, decode.d8.loss_cls: 0.3324, decode.d8.loss_mask: 0.5312, decode.d8.loss_dice: 0.7641, loss: 17.8521 2022-05-01 11:21:58,954 - mmseg - INFO - Iter [36300/80000] lr: 7.843e-07, eta: 23:36:39, time: 1.891, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3383, decode.loss_mask: 0.5592, decode.loss_dice: 0.7978, decode.d0.loss_cls: 1.3320, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9091, decode.d1.loss_cls: 0.4171, decode.d1.loss_mask: 0.5810, decode.d1.loss_dice: 0.8549, decode.d2.loss_cls: 0.3746, decode.d2.loss_mask: 0.5718, decode.d2.loss_dice: 0.8295, decode.d3.loss_cls: 0.3595, decode.d3.loss_mask: 0.5659, decode.d3.loss_dice: 0.8158, decode.d4.loss_cls: 0.3519, decode.d4.loss_mask: 0.5661, decode.d4.loss_dice: 0.8161, decode.d5.loss_cls: 0.3515, decode.d5.loss_mask: 0.5605, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3423, decode.d6.loss_mask: 0.5579, decode.d6.loss_dice: 0.8014, decode.d7.loss_cls: 0.3408, decode.d7.loss_mask: 0.5594, decode.d7.loss_dice: 0.7994, decode.d8.loss_cls: 0.3343, decode.d8.loss_mask: 0.5599, decode.d8.loss_dice: 0.7997, loss: 18.4666 2022-05-01 11:23:33,701 - mmseg - INFO - Iter [36350/80000] lr: 7.834e-07, eta: 23:34:58, time: 1.894, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3411, decode.loss_mask: 0.5504, decode.loss_dice: 0.7987, decode.d0.loss_cls: 1.3522, decode.d0.loss_mask: 0.6101, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4344, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.8609, decode.d2.loss_cls: 0.3841, decode.d2.loss_mask: 0.5617, decode.d2.loss_dice: 0.8288, decode.d3.loss_cls: 0.3653, decode.d3.loss_mask: 0.5562, decode.d3.loss_dice: 0.8124, decode.d4.loss_cls: 0.3559, decode.d4.loss_mask: 0.5540, decode.d4.loss_dice: 0.8127, decode.d5.loss_cls: 0.3581, decode.d5.loss_mask: 0.5526, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3500, decode.d6.loss_mask: 0.5508, decode.d6.loss_dice: 0.8029, decode.d7.loss_cls: 0.3452, decode.d7.loss_mask: 0.5504, decode.d7.loss_dice: 0.7992, decode.d8.loss_cls: 0.3434, decode.d8.loss_mask: 0.5511, decode.d8.loss_dice: 0.8014, loss: 18.4873 2022-05-01 11:25:07,689 - mmseg - INFO - Iter [36400/80000] lr: 7.825e-07, eta: 23:33:17, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3300, decode.loss_mask: 0.5374, decode.loss_dice: 0.7931, decode.d0.loss_cls: 1.3499, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.8998, decode.d1.loss_cls: 0.4105, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8472, decode.d2.loss_cls: 0.3696, decode.d2.loss_mask: 0.5487, decode.d2.loss_dice: 0.8283, decode.d3.loss_cls: 0.3500, decode.d3.loss_mask: 0.5461, decode.d3.loss_dice: 0.7997, decode.d4.loss_cls: 0.3460, decode.d4.loss_mask: 0.5415, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3350, decode.d5.loss_mask: 0.5419, decode.d5.loss_dice: 0.7962, decode.d6.loss_cls: 0.3266, decode.d6.loss_mask: 0.5400, decode.d6.loss_dice: 0.7931, decode.d7.loss_cls: 0.3249, decode.d7.loss_mask: 0.5390, decode.d7.loss_dice: 0.7938, decode.d8.loss_cls: 0.3261, decode.d8.loss_mask: 0.5387, decode.d8.loss_dice: 0.7965, loss: 18.0959 2022-05-01 11:26:40,988 - mmseg - INFO - Iter [36450/80000] lr: 7.816e-07, eta: 23:31:35, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3159, decode.loss_mask: 0.5345, decode.loss_dice: 0.7881, decode.d0.loss_cls: 1.3510, decode.d0.loss_mask: 0.5733, decode.d0.loss_dice: 0.8854, decode.d1.loss_cls: 0.3999, decode.d1.loss_mask: 0.5638, decode.d1.loss_dice: 0.8426, decode.d2.loss_cls: 0.3512, decode.d2.loss_mask: 0.5514, decode.d2.loss_dice: 0.8212, decode.d3.loss_cls: 0.3387, decode.d3.loss_mask: 0.5434, decode.d3.loss_dice: 0.8065, decode.d4.loss_cls: 0.3261, decode.d4.loss_mask: 0.5423, decode.d4.loss_dice: 0.7993, decode.d5.loss_cls: 0.3248, decode.d5.loss_mask: 0.5411, decode.d5.loss_dice: 0.7998, decode.d6.loss_cls: 0.3209, decode.d6.loss_mask: 0.5356, decode.d6.loss_dice: 0.7902, decode.d7.loss_cls: 0.3127, decode.d7.loss_mask: 0.5374, decode.d7.loss_dice: 0.7936, decode.d8.loss_cls: 0.3129, decode.d8.loss_mask: 0.5347, decode.d8.loss_dice: 0.7901, loss: 17.9285 2022-05-01 11:28:14,746 - mmseg - INFO - Iter [36500/80000] lr: 7.807e-07, eta: 23:29:54, time: 1.875, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3375, decode.loss_mask: 0.5412, decode.loss_dice: 0.8000, decode.d0.loss_cls: 1.3682, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.9198, decode.d1.loss_cls: 0.4286, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8675, decode.d2.loss_cls: 0.3803, decode.d2.loss_mask: 0.5551, decode.d2.loss_dice: 0.8383, decode.d3.loss_cls: 0.3646, decode.d3.loss_mask: 0.5472, decode.d3.loss_dice: 0.8133, decode.d4.loss_cls: 0.3567, decode.d4.loss_mask: 0.5442, decode.d4.loss_dice: 0.8147, decode.d5.loss_cls: 0.3505, decode.d5.loss_mask: 0.5437, decode.d5.loss_dice: 0.8133, decode.d6.loss_cls: 0.3426, decode.d6.loss_mask: 0.5429, decode.d6.loss_dice: 0.7999, decode.d7.loss_cls: 0.3381, decode.d7.loss_mask: 0.5436, decode.d7.loss_dice: 0.8020, decode.d8.loss_cls: 0.3404, decode.d8.loss_mask: 0.5403, decode.d8.loss_dice: 0.8037, loss: 18.3993 2022-05-01 11:29:50,128 - mmseg - INFO - Iter [36550/80000] lr: 7.798e-07, eta: 23:28:15, time: 1.908, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3156, decode.loss_mask: 0.5316, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.3430, decode.d0.loss_mask: 0.5873, decode.d0.loss_dice: 0.8980, decode.d1.loss_cls: 0.4108, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8461, decode.d2.loss_cls: 0.3653, decode.d2.loss_mask: 0.5441, decode.d2.loss_dice: 0.8084, decode.d3.loss_cls: 0.3435, decode.d3.loss_mask: 0.5393, decode.d3.loss_dice: 0.7954, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5396, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.3250, decode.d5.loss_mask: 0.5357, decode.d5.loss_dice: 0.7894, decode.d6.loss_cls: 0.3265, decode.d6.loss_mask: 0.5338, decode.d6.loss_dice: 0.7834, decode.d7.loss_cls: 0.3249, decode.d7.loss_mask: 0.5342, decode.d7.loss_dice: 0.7828, decode.d8.loss_cls: 0.3214, decode.d8.loss_mask: 0.5314, decode.d8.loss_dice: 0.7799, loss: 17.9054 2022-05-01 11:31:23,630 - mmseg - INFO - Iter [36600/80000] lr: 7.789e-07, eta: 23:26:33, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3244, decode.loss_mask: 0.5388, decode.loss_dice: 0.7966, decode.d0.loss_cls: 1.3709, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.9100, decode.d1.loss_cls: 0.4229, decode.d1.loss_mask: 0.5687, decode.d1.loss_dice: 0.8532, decode.d2.loss_cls: 0.3713, decode.d2.loss_mask: 0.5552, decode.d2.loss_dice: 0.8199, decode.d3.loss_cls: 0.3552, decode.d3.loss_mask: 0.5427, decode.d3.loss_dice: 0.8039, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5416, decode.d4.loss_dice: 0.7994, decode.d5.loss_cls: 0.3340, decode.d5.loss_mask: 0.5426, decode.d5.loss_dice: 0.7988, decode.d6.loss_cls: 0.3263, decode.d6.loss_mask: 0.5408, decode.d6.loss_dice: 0.7953, decode.d7.loss_cls: 0.3306, decode.d7.loss_mask: 0.5379, decode.d7.loss_dice: 0.7934, decode.d8.loss_cls: 0.3240, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.7996, loss: 18.1783 2022-05-01 11:32:57,244 - mmseg - INFO - Iter [36650/80000] lr: 7.780e-07, eta: 23:24:51, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3189, decode.loss_mask: 0.5363, decode.loss_dice: 0.7792, decode.d0.loss_cls: 1.3450, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.8799, decode.d1.loss_cls: 0.4148, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8425, decode.d2.loss_cls: 0.3596, decode.d2.loss_mask: 0.5487, decode.d2.loss_dice: 0.8068, decode.d3.loss_cls: 0.3397, decode.d3.loss_mask: 0.5439, decode.d3.loss_dice: 0.7909, decode.d4.loss_cls: 0.3279, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.7905, decode.d5.loss_cls: 0.3303, decode.d5.loss_mask: 0.5390, decode.d5.loss_dice: 0.7838, decode.d6.loss_cls: 0.3271, decode.d6.loss_mask: 0.5351, decode.d6.loss_dice: 0.7806, decode.d7.loss_cls: 0.3277, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.7810, decode.d8.loss_cls: 0.3220, decode.d8.loss_mask: 0.5360, decode.d8.loss_dice: 0.7834, loss: 17.8831 2022-05-01 11:34:33,522 - mmseg - INFO - Iter [36700/80000] lr: 7.771e-07, eta: 23:23:13, time: 1.925, data_time: 0.063, memory: 64716, decode.loss_cls: 0.3269, decode.loss_mask: 0.5344, decode.loss_dice: 0.7820, decode.d0.loss_cls: 1.3371, decode.d0.loss_mask: 0.5906, decode.d0.loss_dice: 0.8907, decode.d1.loss_cls: 0.4178, decode.d1.loss_mask: 0.5643, decode.d1.loss_dice: 0.8444, decode.d2.loss_cls: 0.3706, decode.d2.loss_mask: 0.5485, decode.d2.loss_dice: 0.8145, decode.d3.loss_cls: 0.3444, decode.d3.loss_mask: 0.5438, decode.d3.loss_dice: 0.7933, decode.d4.loss_cls: 0.3338, decode.d4.loss_mask: 0.5396, decode.d4.loss_dice: 0.7980, decode.d5.loss_cls: 0.3342, decode.d5.loss_mask: 0.5397, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.3289, decode.d6.loss_mask: 0.5397, decode.d6.loss_dice: 0.7855, decode.d7.loss_cls: 0.3268, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7832, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5360, decode.d8.loss_dice: 0.7871, loss: 17.9896 2022-05-01 11:36:07,579 - mmseg - INFO - Iter [36750/80000] lr: 7.762e-07, eta: 23:21:32, time: 1.885, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3169, decode.loss_mask: 0.5292, decode.loss_dice: 0.7911, decode.d0.loss_cls: 1.3644, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.9027, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5581, decode.d1.loss_dice: 0.8576, decode.d2.loss_cls: 0.3633, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.8201, decode.d3.loss_cls: 0.3438, decode.d3.loss_mask: 0.5328, decode.d3.loss_dice: 0.8069, decode.d4.loss_cls: 0.3276, decode.d4.loss_mask: 0.5346, decode.d4.loss_dice: 0.8082, decode.d5.loss_cls: 0.3240, decode.d5.loss_mask: 0.5321, decode.d5.loss_dice: 0.8016, decode.d6.loss_cls: 0.3224, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3170, decode.d7.loss_mask: 0.5302, decode.d7.loss_dice: 0.7994, decode.d8.loss_cls: 0.3170, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7951, loss: 17.9865 2022-05-01 11:37:42,792 - mmseg - INFO - Iter [36800/80000] lr: 7.753e-07, eta: 23:19:52, time: 1.901, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3257, decode.loss_mask: 0.5438, decode.loss_dice: 0.7990, decode.d0.loss_cls: 1.3528, decode.d0.loss_mask: 0.5868, decode.d0.loss_dice: 0.9123, decode.d1.loss_cls: 0.4177, decode.d1.loss_mask: 0.5650, decode.d1.loss_dice: 0.8589, decode.d2.loss_cls: 0.3637, decode.d2.loss_mask: 0.5546, decode.d2.loss_dice: 0.8299, decode.d3.loss_cls: 0.3423, decode.d3.loss_mask: 0.5489, decode.d3.loss_dice: 0.8065, decode.d4.loss_cls: 0.3373, decode.d4.loss_mask: 0.5477, decode.d4.loss_dice: 0.8083, decode.d5.loss_cls: 0.3348, decode.d5.loss_mask: 0.5441, decode.d5.loss_dice: 0.8024, decode.d6.loss_cls: 0.3285, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.7944, decode.d7.loss_cls: 0.3248, decode.d7.loss_mask: 0.5425, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3232, decode.d8.loss_mask: 0.5446, decode.d8.loss_dice: 0.7966, loss: 18.1799 2022-05-01 11:39:17,606 - mmseg - INFO - Iter [36850/80000] lr: 7.745e-07, eta: 23:18:12, time: 1.898, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3168, decode.loss_mask: 0.5239, decode.loss_dice: 0.7802, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5757, decode.d0.loss_dice: 0.8923, decode.d1.loss_cls: 0.4062, decode.d1.loss_mask: 0.5493, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3626, decode.d2.loss_mask: 0.5351, decode.d2.loss_dice: 0.8086, decode.d3.loss_cls: 0.3460, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.7897, decode.d4.loss_cls: 0.3359, decode.d4.loss_mask: 0.5262, decode.d4.loss_dice: 0.7845, decode.d5.loss_cls: 0.3297, decode.d5.loss_mask: 0.5270, decode.d5.loss_dice: 0.7851, decode.d6.loss_cls: 0.3198, decode.d6.loss_mask: 0.5237, decode.d6.loss_dice: 0.7798, decode.d7.loss_cls: 0.3226, decode.d7.loss_mask: 0.5234, decode.d7.loss_dice: 0.7779, decode.d8.loss_cls: 0.3246, decode.d8.loss_mask: 0.5229, decode.d8.loss_dice: 0.7726, loss: 17.7455 2022-05-01 11:40:51,834 - mmseg - INFO - Iter [36900/80000] lr: 7.736e-07, eta: 23:16:32, time: 1.884, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3469, decode.loss_mask: 0.5351, decode.loss_dice: 0.8104, decode.d0.loss_cls: 1.3927, decode.d0.loss_mask: 0.5695, decode.d0.loss_dice: 0.9202, decode.d1.loss_cls: 0.4374, decode.d1.loss_mask: 0.5583, decode.d1.loss_dice: 0.8647, decode.d2.loss_cls: 0.3847, decode.d2.loss_mask: 0.5452, decode.d2.loss_dice: 0.8370, decode.d3.loss_cls: 0.3653, decode.d3.loss_mask: 0.5410, decode.d3.loss_dice: 0.8252, decode.d4.loss_cls: 0.3598, decode.d4.loss_mask: 0.5390, decode.d4.loss_dice: 0.8159, decode.d5.loss_cls: 0.3575, decode.d5.loss_mask: 0.5338, decode.d5.loss_dice: 0.8163, decode.d6.loss_cls: 0.3539, decode.d6.loss_mask: 0.5323, decode.d6.loss_dice: 0.8165, decode.d7.loss_cls: 0.3510, decode.d7.loss_mask: 0.5343, decode.d7.loss_dice: 0.8119, decode.d8.loss_cls: 0.3453, decode.d8.loss_mask: 0.5375, decode.d8.loss_dice: 0.8143, loss: 18.4530 2022-05-01 11:42:26,954 - mmseg - INFO - Iter [36950/80000] lr: 7.727e-07, eta: 23:14:52, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3190, decode.loss_mask: 0.5194, decode.loss_dice: 0.7717, decode.d0.loss_cls: 1.3705, decode.d0.loss_mask: 0.5656, decode.d0.loss_dice: 0.8807, decode.d1.loss_cls: 0.4085, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8385, decode.d2.loss_cls: 0.3655, decode.d2.loss_mask: 0.5299, decode.d2.loss_dice: 0.8066, decode.d3.loss_cls: 0.3488, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7872, decode.d4.loss_cls: 0.3388, decode.d4.loss_mask: 0.5246, decode.d4.loss_dice: 0.7818, decode.d5.loss_cls: 0.3336, decode.d5.loss_mask: 0.5233, decode.d5.loss_dice: 0.7812, decode.d6.loss_cls: 0.3266, decode.d6.loss_mask: 0.5171, decode.d6.loss_dice: 0.7730, decode.d7.loss_cls: 0.3190, decode.d7.loss_mask: 0.5181, decode.d7.loss_dice: 0.7778, decode.d8.loss_cls: 0.3215, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7759, loss: 17.7136 2022-05-01 11:44:00,944 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-05-01 11:44:34,774 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 11:44:34,792 - mmseg - INFO - Iter [37000/80000] lr: 7.718e-07, eta: 23:13:50, time: 2.554, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3154, decode.loss_mask: 0.5220, decode.loss_dice: 0.7910, decode.d0.loss_cls: 1.3508, decode.d0.loss_mask: 0.5634, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4152, decode.d1.loss_mask: 0.5466, decode.d1.loss_dice: 0.8509, decode.d2.loss_cls: 0.3656, decode.d2.loss_mask: 0.5357, decode.d2.loss_dice: 0.8191, decode.d3.loss_cls: 0.3379, decode.d3.loss_mask: 0.5312, decode.d3.loss_dice: 0.8075, decode.d4.loss_cls: 0.3269, decode.d4.loss_mask: 0.5266, decode.d4.loss_dice: 0.8018, decode.d5.loss_cls: 0.3271, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7964, decode.d6.loss_cls: 0.3247, decode.d6.loss_mask: 0.5232, decode.d6.loss_dice: 0.7931, decode.d7.loss_cls: 0.3148, decode.d7.loss_mask: 0.5235, decode.d7.loss_dice: 0.7956, decode.d8.loss_cls: 0.3210, decode.d8.loss_mask: 0.5224, decode.d8.loss_dice: 0.7922, loss: 17.8624 2022-05-01 11:46:09,296 - mmseg - INFO - Iter [37050/80000] lr: 7.709e-07, eta: 23:12:10, time: 1.893, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3278, decode.loss_mask: 0.5392, decode.loss_dice: 0.7881, decode.d0.loss_cls: 1.3589, decode.d0.loss_mask: 0.5931, decode.d0.loss_dice: 0.8996, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5673, decode.d1.loss_dice: 0.8430, decode.d2.loss_cls: 0.3643, decode.d2.loss_mask: 0.5506, decode.d2.loss_dice: 0.8123, decode.d3.loss_cls: 0.3468, decode.d3.loss_mask: 0.5447, decode.d3.loss_dice: 0.7996, decode.d4.loss_cls: 0.3344, decode.d4.loss_mask: 0.5419, decode.d4.loss_dice: 0.7936, decode.d5.loss_cls: 0.3388, decode.d5.loss_mask: 0.5421, decode.d5.loss_dice: 0.7866, decode.d6.loss_cls: 0.3307, decode.d6.loss_mask: 0.5391, decode.d6.loss_dice: 0.7828, decode.d7.loss_cls: 0.3297, decode.d7.loss_mask: 0.5383, decode.d7.loss_dice: 0.7872, decode.d8.loss_cls: 0.3275, decode.d8.loss_mask: 0.5416, decode.d8.loss_dice: 0.7867, loss: 18.0466 2022-05-01 11:47:43,842 - mmseg - INFO - Iter [37100/80000] lr: 7.700e-07, eta: 23:10:30, time: 1.891, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2906, decode.loss_mask: 0.5262, decode.loss_dice: 0.7508, decode.d0.loss_cls: 1.3107, decode.d0.loss_mask: 0.5711, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5526, decode.d1.loss_dice: 0.8036, decode.d2.loss_cls: 0.3401, decode.d2.loss_mask: 0.5408, decode.d2.loss_dice: 0.7750, decode.d3.loss_cls: 0.3229, decode.d3.loss_mask: 0.5336, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.3186, decode.d4.loss_mask: 0.5324, decode.d4.loss_dice: 0.7562, decode.d5.loss_cls: 0.3115, decode.d5.loss_mask: 0.5288, decode.d5.loss_dice: 0.7513, decode.d6.loss_cls: 0.3066, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7441, decode.d7.loss_cls: 0.2968, decode.d7.loss_mask: 0.5286, decode.d7.loss_dice: 0.7514, decode.d8.loss_cls: 0.2980, decode.d8.loss_mask: 0.5287, decode.d8.loss_dice: 0.7459, loss: 17.2453 2022-05-01 11:49:17,517 - mmseg - INFO - Iter [37150/80000] lr: 7.691e-07, eta: 23:08:48, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3187, decode.loss_mask: 0.5354, decode.loss_dice: 0.7751, decode.d0.loss_cls: 1.3440, decode.d0.loss_mask: 0.5851, decode.d0.loss_dice: 0.8779, decode.d1.loss_cls: 0.4004, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8334, decode.d2.loss_cls: 0.3565, decode.d2.loss_mask: 0.5528, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3369, decode.d3.loss_mask: 0.5408, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3347, decode.d4.loss_mask: 0.5401, decode.d4.loss_dice: 0.7939, decode.d5.loss_cls: 0.3269, decode.d5.loss_mask: 0.5388, decode.d5.loss_dice: 0.7846, decode.d6.loss_cls: 0.3208, decode.d6.loss_mask: 0.5359, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3200, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7832, decode.d8.loss_cls: 0.3204, decode.d8.loss_mask: 0.5354, decode.d8.loss_dice: 0.7771, loss: 17.8448 2022-05-01 11:50:53,417 - mmseg - INFO - Iter [37200/80000] lr: 7.682e-07, eta: 23:07:10, time: 1.918, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3309, decode.loss_mask: 0.5475, decode.loss_dice: 0.7822, decode.d0.loss_cls: 1.3523, decode.d0.loss_mask: 0.5971, decode.d0.loss_dice: 0.8890, decode.d1.loss_cls: 0.4097, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8439, decode.d2.loss_cls: 0.3620, decode.d2.loss_mask: 0.5617, decode.d2.loss_dice: 0.8175, decode.d3.loss_cls: 0.3508, decode.d3.loss_mask: 0.5607, decode.d3.loss_dice: 0.7983, decode.d4.loss_cls: 0.3392, decode.d4.loss_mask: 0.5587, decode.d4.loss_dice: 0.7946, decode.d5.loss_cls: 0.3367, decode.d5.loss_mask: 0.5563, decode.d5.loss_dice: 0.7943, decode.d6.loss_cls: 0.3348, decode.d6.loss_mask: 0.5511, decode.d6.loss_dice: 0.7851, decode.d7.loss_cls: 0.3318, decode.d7.loss_mask: 0.5522, decode.d7.loss_dice: 0.7900, decode.d8.loss_cls: 0.3313, decode.d8.loss_mask: 0.5468, decode.d8.loss_dice: 0.7896, loss: 18.1709 2022-05-01 11:52:27,462 - mmseg - INFO - Iter [37250/80000] lr: 7.673e-07, eta: 23:05:29, time: 1.880, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3478, decode.loss_mask: 0.5255, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.4080, decode.d0.loss_mask: 0.5745, decode.d0.loss_dice: 0.8930, decode.d1.loss_cls: 0.4314, decode.d1.loss_mask: 0.5499, decode.d1.loss_dice: 0.8408, decode.d2.loss_cls: 0.3900, decode.d2.loss_mask: 0.5389, decode.d2.loss_dice: 0.8157, decode.d3.loss_cls: 0.3702, decode.d3.loss_mask: 0.5334, decode.d3.loss_dice: 0.8030, decode.d4.loss_cls: 0.3611, decode.d4.loss_mask: 0.5288, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3624, decode.d5.loss_mask: 0.5270, decode.d5.loss_dice: 0.7957, decode.d6.loss_cls: 0.3458, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7903, decode.d7.loss_cls: 0.3465, decode.d7.loss_mask: 0.5240, decode.d7.loss_dice: 0.7879, decode.d8.loss_cls: 0.3474, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7849, loss: 18.1542 2022-05-01 11:54:02,707 - mmseg - INFO - Iter [37300/80000] lr: 7.664e-07, eta: 23:03:49, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3343, decode.loss_mask: 0.5421, decode.loss_dice: 0.7894, decode.d0.loss_cls: 1.3578, decode.d0.loss_mask: 0.5935, decode.d0.loss_dice: 0.9017, decode.d1.loss_cls: 0.4183, decode.d1.loss_mask: 0.5636, decode.d1.loss_dice: 0.8484, decode.d2.loss_cls: 0.3763, decode.d2.loss_mask: 0.5499, decode.d2.loss_dice: 0.8184, decode.d3.loss_cls: 0.3593, decode.d3.loss_mask: 0.5438, decode.d3.loss_dice: 0.8017, decode.d4.loss_cls: 0.3445, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.8002, decode.d5.loss_cls: 0.3435, decode.d5.loss_mask: 0.5453, decode.d5.loss_dice: 0.8013, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5433, decode.d6.loss_dice: 0.7897, decode.d7.loss_cls: 0.3357, decode.d7.loss_mask: 0.5434, decode.d7.loss_dice: 0.7899, decode.d8.loss_cls: 0.3347, decode.d8.loss_mask: 0.5424, decode.d8.loss_dice: 0.7879, loss: 18.1852 2022-05-01 11:55:37,250 - mmseg - INFO - Iter [37350/80000] lr: 7.655e-07, eta: 23:02:09, time: 1.890, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3187, decode.loss_mask: 0.5541, decode.loss_dice: 0.8087, decode.d0.loss_cls: 1.3403, decode.d0.loss_mask: 0.6016, decode.d0.loss_dice: 0.9195, decode.d1.loss_cls: 0.4081, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8623, decode.d2.loss_cls: 0.3611, decode.d2.loss_mask: 0.5648, decode.d2.loss_dice: 0.8316, decode.d3.loss_cls: 0.3454, decode.d3.loss_mask: 0.5558, decode.d3.loss_dice: 0.8180, decode.d4.loss_cls: 0.3305, decode.d4.loss_mask: 0.5558, decode.d4.loss_dice: 0.8166, decode.d5.loss_cls: 0.3301, decode.d5.loss_mask: 0.5547, decode.d5.loss_dice: 0.8148, decode.d6.loss_cls: 0.3205, decode.d6.loss_mask: 0.5530, decode.d6.loss_dice: 0.8110, decode.d7.loss_cls: 0.3226, decode.d7.loss_mask: 0.5543, decode.d7.loss_dice: 0.8053, decode.d8.loss_cls: 0.3228, decode.d8.loss_mask: 0.5538, decode.d8.loss_dice: 0.8022, loss: 18.3128 2022-05-01 11:57:11,368 - mmseg - INFO - Iter [37400/80000] lr: 7.646e-07, eta: 23:00:28, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3219, decode.loss_mask: 0.5570, decode.loss_dice: 0.8085, decode.d0.loss_cls: 1.3631, decode.d0.loss_mask: 0.6073, decode.d0.loss_dice: 0.9076, decode.d1.loss_cls: 0.4198, decode.d1.loss_mask: 0.5803, decode.d1.loss_dice: 0.8651, decode.d2.loss_cls: 0.3711, decode.d2.loss_mask: 0.5660, decode.d2.loss_dice: 0.8284, decode.d3.loss_cls: 0.3525, decode.d3.loss_mask: 0.5632, decode.d3.loss_dice: 0.8141, decode.d4.loss_cls: 0.3466, decode.d4.loss_mask: 0.5585, decode.d4.loss_dice: 0.8116, decode.d5.loss_cls: 0.3260, decode.d5.loss_mask: 0.5589, decode.d5.loss_dice: 0.8095, decode.d6.loss_cls: 0.3223, decode.d6.loss_mask: 0.5560, decode.d6.loss_dice: 0.8090, decode.d7.loss_cls: 0.3202, decode.d7.loss_mask: 0.5575, decode.d7.loss_dice: 0.8032, decode.d8.loss_cls: 0.3231, decode.d8.loss_mask: 0.5577, decode.d8.loss_dice: 0.8008, loss: 18.3870 2022-05-01 11:58:46,056 - mmseg - INFO - Iter [37450/80000] lr: 7.637e-07, eta: 22:58:48, time: 1.894, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3190, decode.loss_mask: 0.5344, decode.loss_dice: 0.7804, decode.d0.loss_cls: 1.3336, decode.d0.loss_mask: 0.5770, decode.d0.loss_dice: 0.8912, decode.d1.loss_cls: 0.4015, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8412, decode.d2.loss_cls: 0.3660, decode.d2.loss_mask: 0.5445, decode.d2.loss_dice: 0.8110, decode.d3.loss_cls: 0.3442, decode.d3.loss_mask: 0.5392, decode.d3.loss_dice: 0.7930, decode.d4.loss_cls: 0.3359, decode.d4.loss_mask: 0.5403, decode.d4.loss_dice: 0.7903, decode.d5.loss_cls: 0.3325, decode.d5.loss_mask: 0.5365, decode.d5.loss_dice: 0.7897, decode.d6.loss_cls: 0.3268, decode.d6.loss_mask: 0.5337, decode.d6.loss_dice: 0.7786, decode.d7.loss_cls: 0.3216, decode.d7.loss_mask: 0.5345, decode.d7.loss_dice: 0.7841, decode.d8.loss_cls: 0.3144, decode.d8.loss_mask: 0.5351, decode.d8.loss_dice: 0.7841, loss: 17.8738 2022-05-01 12:00:23,074 - mmseg - INFO - Iter [37500/80000] lr: 7.628e-07, eta: 22:57:11, time: 1.941, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3483, decode.loss_mask: 0.5459, decode.loss_dice: 0.8151, decode.d0.loss_cls: 1.3858, decode.d0.loss_mask: 0.5863, decode.d0.loss_dice: 0.9257, decode.d1.loss_cls: 0.4393, decode.d1.loss_mask: 0.5666, decode.d1.loss_dice: 0.8778, decode.d2.loss_cls: 0.3984, decode.d2.loss_mask: 0.5553, decode.d2.loss_dice: 0.8436, decode.d3.loss_cls: 0.3735, decode.d3.loss_mask: 0.5484, decode.d3.loss_dice: 0.8289, decode.d4.loss_cls: 0.3708, decode.d4.loss_mask: 0.5473, decode.d4.loss_dice: 0.8236, decode.d5.loss_cls: 0.3622, decode.d5.loss_mask: 0.5450, decode.d5.loss_dice: 0.8254, decode.d6.loss_cls: 0.3512, decode.d6.loss_mask: 0.5439, decode.d6.loss_dice: 0.8197, decode.d7.loss_cls: 0.3519, decode.d7.loss_mask: 0.5452, decode.d7.loss_dice: 0.8176, decode.d8.loss_cls: 0.3482, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.8166, loss: 18.6533 2022-05-01 12:01:58,737 - mmseg - INFO - Iter [37550/80000] lr: 7.619e-07, eta: 22:55:32, time: 1.912, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3340, decode.loss_mask: 0.5495, decode.loss_dice: 0.8083, decode.d0.loss_cls: 1.3294, decode.d0.loss_mask: 0.6046, decode.d0.loss_dice: 0.9244, decode.d1.loss_cls: 0.4173, decode.d1.loss_mask: 0.5818, decode.d1.loss_dice: 0.8708, decode.d2.loss_cls: 0.3700, decode.d2.loss_mask: 0.5640, decode.d2.loss_dice: 0.8426, decode.d3.loss_cls: 0.3506, decode.d3.loss_mask: 0.5563, decode.d3.loss_dice: 0.8224, decode.d4.loss_cls: 0.3416, decode.d4.loss_mask: 0.5553, decode.d4.loss_dice: 0.8207, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5529, decode.d5.loss_dice: 0.8193, decode.d6.loss_cls: 0.3225, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.8156, decode.d7.loss_cls: 0.3266, decode.d7.loss_mask: 0.5513, decode.d7.loss_dice: 0.8146, decode.d8.loss_cls: 0.3320, decode.d8.loss_mask: 0.5496, decode.d8.loss_dice: 0.8137, loss: 18.4312 2022-05-01 12:03:33,148 - mmseg - INFO - Iter [37600/80000] lr: 7.610e-07, eta: 22:53:51, time: 1.890, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3236, decode.loss_mask: 0.5483, decode.loss_dice: 0.7823, decode.d0.loss_cls: 1.3897, decode.d0.loss_mask: 0.6019, decode.d0.loss_dice: 0.8793, decode.d1.loss_cls: 0.4132, decode.d1.loss_mask: 0.5801, decode.d1.loss_dice: 0.8303, decode.d2.loss_cls: 0.3641, decode.d2.loss_mask: 0.5619, decode.d2.loss_dice: 0.8053, decode.d3.loss_cls: 0.3452, decode.d3.loss_mask: 0.5551, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.3399, decode.d4.loss_mask: 0.5519, decode.d4.loss_dice: 0.7864, decode.d5.loss_cls: 0.3412, decode.d5.loss_mask: 0.5499, decode.d5.loss_dice: 0.7783, decode.d6.loss_cls: 0.3292, decode.d6.loss_mask: 0.5478, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3277, decode.d7.loss_mask: 0.5481, decode.d7.loss_dice: 0.7768, decode.d8.loss_cls: 0.3282, decode.d8.loss_mask: 0.5488, decode.d8.loss_dice: 0.7825, loss: 18.0767 2022-05-01 12:05:06,806 - mmseg - INFO - Iter [37650/80000] lr: 7.601e-07, eta: 22:52:10, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3493, decode.loss_mask: 0.5298, decode.loss_dice: 0.7882, decode.d0.loss_cls: 1.4040, decode.d0.loss_mask: 0.5854, decode.d0.loss_dice: 0.8992, decode.d1.loss_cls: 0.4433, decode.d1.loss_mask: 0.5608, decode.d1.loss_dice: 0.8479, decode.d2.loss_cls: 0.3960, decode.d2.loss_mask: 0.5438, decode.d2.loss_dice: 0.8159, decode.d3.loss_cls: 0.3786, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3659, decode.d4.loss_mask: 0.5370, decode.d4.loss_dice: 0.8059, decode.d5.loss_cls: 0.3583, decode.d5.loss_mask: 0.5362, decode.d5.loss_dice: 0.7995, decode.d6.loss_cls: 0.3540, decode.d6.loss_mask: 0.5360, decode.d6.loss_dice: 0.7879, decode.d7.loss_cls: 0.3485, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7921, decode.d8.loss_cls: 0.3503, decode.d8.loss_mask: 0.5323, decode.d8.loss_dice: 0.7884, loss: 18.3066 2022-05-01 12:06:41,947 - mmseg - INFO - Iter [37700/80000] lr: 7.592e-07, eta: 22:50:31, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3231, decode.loss_mask: 0.5427, decode.loss_dice: 0.7821, decode.d0.loss_cls: 1.3648, decode.d0.loss_mask: 0.5955, decode.d0.loss_dice: 0.8933, decode.d1.loss_cls: 0.4024, decode.d1.loss_mask: 0.5710, decode.d1.loss_dice: 0.8435, decode.d2.loss_cls: 0.3727, decode.d2.loss_mask: 0.5574, decode.d2.loss_dice: 0.8054, decode.d3.loss_cls: 0.3512, decode.d3.loss_mask: 0.5503, decode.d3.loss_dice: 0.7917, decode.d4.loss_cls: 0.3372, decode.d4.loss_mask: 0.5495, decode.d4.loss_dice: 0.7964, decode.d5.loss_cls: 0.3339, decode.d5.loss_mask: 0.5495, decode.d5.loss_dice: 0.7916, decode.d6.loss_cls: 0.3301, decode.d6.loss_mask: 0.5448, decode.d6.loss_dice: 0.7789, decode.d7.loss_cls: 0.3218, decode.d7.loss_mask: 0.5437, decode.d7.loss_dice: 0.7833, decode.d8.loss_cls: 0.3219, decode.d8.loss_mask: 0.5436, decode.d8.loss_dice: 0.7830, loss: 18.0565 2022-05-01 12:08:17,114 - mmseg - INFO - Iter [37750/80000] lr: 7.583e-07, eta: 22:48:51, time: 1.904, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3294, decode.loss_mask: 0.5519, decode.loss_dice: 0.8010, decode.d0.loss_cls: 1.3602, decode.d0.loss_mask: 0.5981, decode.d0.loss_dice: 0.9127, decode.d1.loss_cls: 0.4121, decode.d1.loss_mask: 0.5799, decode.d1.loss_dice: 0.8661, decode.d2.loss_cls: 0.3635, decode.d2.loss_mask: 0.5644, decode.d2.loss_dice: 0.8375, decode.d3.loss_cls: 0.3465, decode.d3.loss_mask: 0.5548, decode.d3.loss_dice: 0.8179, decode.d4.loss_cls: 0.3385, decode.d4.loss_mask: 0.5556, decode.d4.loss_dice: 0.8166, decode.d5.loss_cls: 0.3349, decode.d5.loss_mask: 0.5575, decode.d5.loss_dice: 0.8148, decode.d6.loss_cls: 0.3338, decode.d6.loss_mask: 0.5527, decode.d6.loss_dice: 0.8068, decode.d7.loss_cls: 0.3282, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3247, decode.d8.loss_mask: 0.5539, decode.d8.loss_dice: 0.8045, loss: 18.3778 2022-05-01 12:09:51,976 - mmseg - INFO - Iter [37800/80000] lr: 7.574e-07, eta: 22:47:11, time: 1.897, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3138, decode.loss_mask: 0.5289, decode.loss_dice: 0.7779, decode.d0.loss_cls: 1.3237, decode.d0.loss_mask: 0.5804, decode.d0.loss_dice: 0.8971, decode.d1.loss_cls: 0.4065, decode.d1.loss_mask: 0.5592, decode.d1.loss_dice: 0.8415, decode.d2.loss_cls: 0.3599, decode.d2.loss_mask: 0.5397, decode.d2.loss_dice: 0.8079, decode.d3.loss_cls: 0.3488, decode.d3.loss_mask: 0.5335, decode.d3.loss_dice: 0.7909, decode.d4.loss_cls: 0.3359, decode.d4.loss_mask: 0.5292, decode.d4.loss_dice: 0.7875, decode.d5.loss_cls: 0.3298, decode.d5.loss_mask: 0.5312, decode.d5.loss_dice: 0.7875, decode.d6.loss_cls: 0.3220, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7821, decode.d7.loss_cls: 0.3168, decode.d7.loss_mask: 0.5280, decode.d7.loss_dice: 0.7849, decode.d8.loss_cls: 0.3141, decode.d8.loss_mask: 0.5291, decode.d8.loss_dice: 0.7791, loss: 17.7936 2022-05-01 12:11:27,621 - mmseg - INFO - Iter [37850/80000] lr: 7.565e-07, eta: 22:45:32, time: 1.913, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3091, decode.loss_mask: 0.5333, decode.loss_dice: 0.7727, decode.d0.loss_cls: 1.3162, decode.d0.loss_mask: 0.5906, decode.d0.loss_dice: 0.8758, decode.d1.loss_cls: 0.4064, decode.d1.loss_mask: 0.5579, decode.d1.loss_dice: 0.8257, decode.d2.loss_cls: 0.3555, decode.d2.loss_mask: 0.5452, decode.d2.loss_dice: 0.7927, decode.d3.loss_cls: 0.3343, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.7797, decode.d4.loss_cls: 0.3249, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7784, decode.d5.loss_cls: 0.3176, decode.d5.loss_mask: 0.5408, decode.d5.loss_dice: 0.7828, decode.d6.loss_cls: 0.3142, decode.d6.loss_mask: 0.5357, decode.d6.loss_dice: 0.7766, decode.d7.loss_cls: 0.3090, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7730, decode.d8.loss_cls: 0.3098, decode.d8.loss_mask: 0.5343, decode.d8.loss_dice: 0.7715, loss: 17.6755 2022-05-01 12:13:03,272 - mmseg - INFO - Iter [37900/80000] lr: 7.556e-07, eta: 22:43:54, time: 1.913, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3200, decode.loss_mask: 0.5165, decode.loss_dice: 0.7592, decode.d0.loss_cls: 1.3735, decode.d0.loss_mask: 0.5617, decode.d0.loss_dice: 0.8603, decode.d1.loss_cls: 0.4043, decode.d1.loss_mask: 0.5435, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.3577, decode.d2.loss_mask: 0.5271, decode.d2.loss_dice: 0.7832, decode.d3.loss_cls: 0.3406, decode.d3.loss_mask: 0.5240, decode.d3.loss_dice: 0.7682, decode.d4.loss_cls: 0.3310, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.7709, decode.d5.loss_cls: 0.3228, decode.d5.loss_mask: 0.5201, decode.d5.loss_dice: 0.7664, decode.d6.loss_cls: 0.3206, decode.d6.loss_mask: 0.5203, decode.d6.loss_dice: 0.7658, decode.d7.loss_cls: 0.3199, decode.d7.loss_mask: 0.5171, decode.d7.loss_dice: 0.7626, decode.d8.loss_cls: 0.3179, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7617, loss: 17.4849 2022-05-01 12:14:41,193 - mmseg - INFO - Iter [37950/80000] lr: 7.547e-07, eta: 22:42:17, time: 1.957, data_time: 0.064, memory: 64716, decode.loss_cls: 0.3279, decode.loss_mask: 0.5238, decode.loss_dice: 0.7792, decode.d0.loss_cls: 1.3972, decode.d0.loss_mask: 0.5776, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.4291, decode.d1.loss_mask: 0.5525, decode.d1.loss_dice: 0.8365, decode.d2.loss_cls: 0.3752, decode.d2.loss_mask: 0.5353, decode.d2.loss_dice: 0.8118, decode.d3.loss_cls: 0.3557, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7927, decode.d4.loss_cls: 0.3413, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7870, decode.d5.loss_cls: 0.3381, decode.d5.loss_mask: 0.5296, decode.d5.loss_dice: 0.7870, decode.d6.loss_cls: 0.3309, decode.d6.loss_mask: 0.5248, decode.d6.loss_dice: 0.7817, decode.d7.loss_cls: 0.3308, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7813, decode.d8.loss_cls: 0.3277, decode.d8.loss_mask: 0.5231, decode.d8.loss_dice: 0.7776, loss: 17.9175 2022-05-01 12:16:14,184 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-05-01 12:16:32,500 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 12:16:32,515 - mmseg - INFO - Iter [38000/80000] lr: 7.538e-07, eta: 22:40:55, time: 2.225, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3375, decode.loss_mask: 0.5362, decode.loss_dice: 0.7853, decode.d0.loss_cls: 1.3850, decode.d0.loss_mask: 0.5831, decode.d0.loss_dice: 0.8988, decode.d1.loss_cls: 0.4268, decode.d1.loss_mask: 0.5633, decode.d1.loss_dice: 0.8484, decode.d2.loss_cls: 0.3834, decode.d2.loss_mask: 0.5458, decode.d2.loss_dice: 0.8078, decode.d3.loss_cls: 0.3676, decode.d3.loss_mask: 0.5416, decode.d3.loss_dice: 0.7941, decode.d4.loss_cls: 0.3592, decode.d4.loss_mask: 0.5351, decode.d4.loss_dice: 0.7914, decode.d5.loss_cls: 0.3505, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7973, decode.d6.loss_cls: 0.3453, decode.d6.loss_mask: 0.5336, decode.d6.loss_dice: 0.7837, decode.d7.loss_cls: 0.3466, decode.d7.loss_mask: 0.5342, decode.d7.loss_dice: 0.7863, decode.d8.loss_cls: 0.3420, decode.d8.loss_mask: 0.5352, decode.d8.loss_dice: 0.7825, loss: 18.1639 2022-05-01 12:18:07,828 - mmseg - INFO - Iter [38050/80000] lr: 7.529e-07, eta: 22:39:16, time: 1.909, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3300, decode.loss_mask: 0.5521, decode.loss_dice: 0.8110, decode.d0.loss_cls: 1.3514, decode.d0.loss_mask: 0.6038, decode.d0.loss_dice: 0.9216, decode.d1.loss_cls: 0.4292, decode.d1.loss_mask: 0.5786, decode.d1.loss_dice: 0.8723, decode.d2.loss_cls: 0.3856, decode.d2.loss_mask: 0.5632, decode.d2.loss_dice: 0.8404, decode.d3.loss_cls: 0.3583, decode.d3.loss_mask: 0.5586, decode.d3.loss_dice: 0.8217, decode.d4.loss_cls: 0.3501, decode.d4.loss_mask: 0.5586, decode.d4.loss_dice: 0.8198, decode.d5.loss_cls: 0.3466, decode.d5.loss_mask: 0.5542, decode.d5.loss_dice: 0.8167, decode.d6.loss_cls: 0.3370, decode.d6.loss_mask: 0.5547, decode.d6.loss_dice: 0.8178, decode.d7.loss_cls: 0.3325, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.8154, decode.d8.loss_cls: 0.3364, decode.d8.loss_mask: 0.5512, decode.d8.loss_dice: 0.8040, loss: 18.5267 2022-05-01 12:19:40,897 - mmseg - INFO - Iter [38100/80000] lr: 7.520e-07, eta: 22:37:35, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3051, decode.loss_mask: 0.5455, decode.loss_dice: 0.7996, decode.d0.loss_cls: 1.3417, decode.d0.loss_mask: 0.5904, decode.d0.loss_dice: 0.9024, decode.d1.loss_cls: 0.3874, decode.d1.loss_mask: 0.5647, decode.d1.loss_dice: 0.8519, decode.d2.loss_cls: 0.3373, decode.d2.loss_mask: 0.5526, decode.d2.loss_dice: 0.8267, decode.d3.loss_cls: 0.3223, decode.d3.loss_mask: 0.5516, decode.d3.loss_dice: 0.8135, decode.d4.loss_cls: 0.3137, decode.d4.loss_mask: 0.5498, decode.d4.loss_dice: 0.8103, decode.d5.loss_cls: 0.3121, decode.d5.loss_mask: 0.5486, decode.d5.loss_dice: 0.8053, decode.d6.loss_cls: 0.3064, decode.d6.loss_mask: 0.5469, decode.d6.loss_dice: 0.8037, decode.d7.loss_cls: 0.3031, decode.d7.loss_mask: 0.5458, decode.d7.loss_dice: 0.8039, decode.d8.loss_cls: 0.3056, decode.d8.loss_mask: 0.5453, decode.d8.loss_dice: 0.8021, loss: 17.9950 2022-05-01 12:21:15,311 - mmseg - INFO - Iter [38150/80000] lr: 7.511e-07, eta: 22:35:54, time: 1.887, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3146, decode.loss_mask: 0.5299, decode.loss_dice: 0.7825, decode.d0.loss_cls: 1.3172, decode.d0.loss_mask: 0.5846, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.3969, decode.d1.loss_mask: 0.5579, decode.d1.loss_dice: 0.8327, decode.d2.loss_cls: 0.3597, decode.d2.loss_mask: 0.5374, decode.d2.loss_dice: 0.8042, decode.d3.loss_cls: 0.3390, decode.d3.loss_mask: 0.5368, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.3271, decode.d4.loss_mask: 0.5346, decode.d4.loss_dice: 0.7896, decode.d5.loss_cls: 0.3234, decode.d5.loss_mask: 0.5342, decode.d5.loss_dice: 0.7885, decode.d6.loss_cls: 0.3118, decode.d6.loss_mask: 0.5294, decode.d6.loss_dice: 0.7816, decode.d7.loss_cls: 0.3063, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7853, decode.d8.loss_cls: 0.3160, decode.d8.loss_mask: 0.5305, decode.d8.loss_dice: 0.7800, loss: 17.7361 2022-05-01 12:22:49,811 - mmseg - INFO - Iter [38200/80000] lr: 7.502e-07, eta: 22:34:14, time: 1.889, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3254, decode.loss_mask: 0.5460, decode.loss_dice: 0.7818, decode.d0.loss_cls: 1.3710, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.8923, decode.d1.loss_cls: 0.4124, decode.d1.loss_mask: 0.5782, decode.d1.loss_dice: 0.8422, decode.d2.loss_cls: 0.3636, decode.d2.loss_mask: 0.5602, decode.d2.loss_dice: 0.8158, decode.d3.loss_cls: 0.3445, decode.d3.loss_mask: 0.5543, decode.d3.loss_dice: 0.7983, decode.d4.loss_cls: 0.3385, decode.d4.loss_mask: 0.5512, decode.d4.loss_dice: 0.7947, decode.d5.loss_cls: 0.3341, decode.d5.loss_mask: 0.5495, decode.d5.loss_dice: 0.7886, decode.d6.loss_cls: 0.3262, decode.d6.loss_mask: 0.5473, decode.d6.loss_dice: 0.7871, decode.d7.loss_cls: 0.3225, decode.d7.loss_mask: 0.5472, decode.d7.loss_dice: 0.7858, decode.d8.loss_cls: 0.3279, decode.d8.loss_mask: 0.5457, decode.d8.loss_dice: 0.7859, loss: 18.1218 2022-05-01 12:24:25,071 - mmseg - INFO - Iter [38250/80000] lr: 7.493e-07, eta: 22:32:35, time: 1.904, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3084, decode.loss_mask: 0.5388, decode.loss_dice: 0.7770, decode.d0.loss_cls: 1.2988, decode.d0.loss_mask: 0.5789, decode.d0.loss_dice: 0.8823, decode.d1.loss_cls: 0.3929, decode.d1.loss_mask: 0.5618, decode.d1.loss_dice: 0.8394, decode.d2.loss_cls: 0.3418, decode.d2.loss_mask: 0.5508, decode.d2.loss_dice: 0.8025, decode.d3.loss_cls: 0.3317, decode.d3.loss_mask: 0.5423, decode.d3.loss_dice: 0.7843, decode.d4.loss_cls: 0.3247, decode.d4.loss_mask: 0.5391, decode.d4.loss_dice: 0.7872, decode.d5.loss_cls: 0.3121, decode.d5.loss_mask: 0.5407, decode.d5.loss_dice: 0.7821, decode.d6.loss_cls: 0.3097, decode.d6.loss_mask: 0.5388, decode.d6.loss_dice: 0.7797, decode.d7.loss_cls: 0.3074, decode.d7.loss_mask: 0.5400, decode.d7.loss_dice: 0.7766, decode.d8.loss_cls: 0.3028, decode.d8.loss_mask: 0.5383, decode.d8.loss_dice: 0.7783, loss: 17.6889 2022-05-01 12:26:01,389 - mmseg - INFO - Iter [38300/80000] lr: 7.484e-07, eta: 22:30:57, time: 1.930, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3277, decode.loss_mask: 0.5166, decode.loss_dice: 0.7824, decode.d0.loss_cls: 1.3542, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8839, decode.d1.loss_cls: 0.4070, decode.d1.loss_mask: 0.5410, decode.d1.loss_dice: 0.8387, decode.d2.loss_cls: 0.3697, decode.d2.loss_mask: 0.5266, decode.d2.loss_dice: 0.8015, decode.d3.loss_cls: 0.3501, decode.d3.loss_mask: 0.5228, decode.d3.loss_dice: 0.7829, decode.d4.loss_cls: 0.3445, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7880, decode.d5.loss_cls: 0.3290, decode.d5.loss_mask: 0.5213, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.3329, decode.d6.loss_mask: 0.5191, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.3251, decode.d7.loss_mask: 0.5165, decode.d7.loss_dice: 0.7851, decode.d8.loss_cls: 0.3283, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7795, loss: 17.7434 2022-05-01 12:27:37,362 - mmseg - INFO - Iter [38350/80000] lr: 7.475e-07, eta: 22:29:18, time: 1.919, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3246, decode.loss_mask: 0.5254, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.3573, decode.d0.loss_mask: 0.5759, decode.d0.loss_dice: 0.8855, decode.d1.loss_cls: 0.4049, decode.d1.loss_mask: 0.5517, decode.d1.loss_dice: 0.8445, decode.d2.loss_cls: 0.3573, decode.d2.loss_mask: 0.5360, decode.d2.loss_dice: 0.8172, decode.d3.loss_cls: 0.3450, decode.d3.loss_mask: 0.5286, decode.d3.loss_dice: 0.7944, decode.d4.loss_cls: 0.3302, decode.d4.loss_mask: 0.5294, decode.d4.loss_dice: 0.7995, decode.d5.loss_cls: 0.3274, decode.d5.loss_mask: 0.5261, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.3245, decode.d6.loss_mask: 0.5260, decode.d6.loss_dice: 0.7843, decode.d7.loss_cls: 0.3189, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7872, decode.d8.loss_cls: 0.3210, decode.d8.loss_mask: 0.5276, decode.d8.loss_dice: 0.7838, loss: 17.8406 2022-05-01 12:29:11,351 - mmseg - INFO - Iter [38400/80000] lr: 7.466e-07, eta: 22:27:37, time: 1.880, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3325, decode.loss_mask: 0.5260, decode.loss_dice: 0.7690, decode.d0.loss_cls: 1.3676, decode.d0.loss_mask: 0.5721, decode.d0.loss_dice: 0.8919, decode.d1.loss_cls: 0.4149, decode.d1.loss_mask: 0.5558, decode.d1.loss_dice: 0.8363, decode.d2.loss_cls: 0.3668, decode.d2.loss_mask: 0.5368, decode.d2.loss_dice: 0.8010, decode.d3.loss_cls: 0.3449, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.7865, decode.d4.loss_cls: 0.3438, decode.d4.loss_mask: 0.5326, decode.d4.loss_dice: 0.7836, decode.d5.loss_cls: 0.3320, decode.d5.loss_mask: 0.5306, decode.d5.loss_dice: 0.7824, decode.d6.loss_cls: 0.3321, decode.d6.loss_mask: 0.5300, decode.d6.loss_dice: 0.7711, decode.d7.loss_cls: 0.3289, decode.d7.loss_mask: 0.5290, decode.d7.loss_dice: 0.7716, decode.d8.loss_cls: 0.3301, decode.d8.loss_mask: 0.5283, decode.d8.loss_dice: 0.7698, loss: 17.8349 2022-05-01 12:30:45,457 - mmseg - INFO - Iter [38450/80000] lr: 7.457e-07, eta: 22:25:57, time: 1.881, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3120, decode.loss_mask: 0.5174, decode.loss_dice: 0.7891, decode.d0.loss_cls: 1.3516, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.8907, decode.d1.loss_cls: 0.4087, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8410, decode.d2.loss_cls: 0.3640, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.8076, decode.d3.loss_cls: 0.3466, decode.d3.loss_mask: 0.5198, decode.d3.loss_dice: 0.7936, decode.d4.loss_cls: 0.3325, decode.d4.loss_mask: 0.5201, decode.d4.loss_dice: 0.7935, decode.d5.loss_cls: 0.3269, decode.d5.loss_mask: 0.5202, decode.d5.loss_dice: 0.7912, decode.d6.loss_cls: 0.3204, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7862, decode.d7.loss_cls: 0.3176, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7882, decode.d8.loss_cls: 0.3145, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7866, loss: 17.7231 2022-05-01 12:32:19,296 - mmseg - INFO - Iter [38500/80000] lr: 7.448e-07, eta: 22:24:16, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3028, decode.loss_mask: 0.5289, decode.loss_dice: 0.7868, decode.d0.loss_cls: 1.3163, decode.d0.loss_mask: 0.5797, decode.d0.loss_dice: 0.8932, decode.d1.loss_cls: 0.3801, decode.d1.loss_mask: 0.5531, decode.d1.loss_dice: 0.8449, decode.d2.loss_cls: 0.3440, decode.d2.loss_mask: 0.5394, decode.d2.loss_dice: 0.8092, decode.d3.loss_cls: 0.3236, decode.d3.loss_mask: 0.5326, decode.d3.loss_dice: 0.7959, decode.d4.loss_cls: 0.3186, decode.d4.loss_mask: 0.5323, decode.d4.loss_dice: 0.7890, decode.d5.loss_cls: 0.3166, decode.d5.loss_mask: 0.5273, decode.d5.loss_dice: 0.7844, decode.d6.loss_cls: 0.3056, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7873, decode.d7.loss_cls: 0.3044, decode.d7.loss_mask: 0.5263, decode.d7.loss_dice: 0.7871, decode.d8.loss_cls: 0.3066, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.7825, loss: 17.6520 2022-05-01 12:33:53,744 - mmseg - INFO - Iter [38550/80000] lr: 7.439e-07, eta: 22:22:36, time: 1.889, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3083, decode.loss_mask: 0.5345, decode.loss_dice: 0.7745, decode.d0.loss_cls: 1.3286, decode.d0.loss_mask: 0.5801, decode.d0.loss_dice: 0.8805, decode.d1.loss_cls: 0.3947, decode.d1.loss_mask: 0.5595, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3482, decode.d2.loss_mask: 0.5453, decode.d2.loss_dice: 0.7992, decode.d3.loss_cls: 0.3296, decode.d3.loss_mask: 0.5414, decode.d3.loss_dice: 0.7872, decode.d4.loss_cls: 0.3243, decode.d4.loss_mask: 0.5412, decode.d4.loss_dice: 0.7868, decode.d5.loss_cls: 0.3163, decode.d5.loss_mask: 0.5370, decode.d5.loss_dice: 0.7832, decode.d6.loss_cls: 0.3102, decode.d6.loss_mask: 0.5357, decode.d6.loss_dice: 0.7758, decode.d7.loss_cls: 0.3062, decode.d7.loss_mask: 0.5347, decode.d7.loss_dice: 0.7756, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.5363, decode.d8.loss_dice: 0.7705, loss: 17.6818 2022-05-01 12:35:29,685 - mmseg - INFO - Iter [38600/80000] lr: 7.430e-07, eta: 22:20:58, time: 1.918, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3092, decode.loss_mask: 0.5331, decode.loss_dice: 0.7783, decode.d0.loss_cls: 1.3130, decode.d0.loss_mask: 0.5772, decode.d0.loss_dice: 0.8755, decode.d1.loss_cls: 0.3911, decode.d1.loss_mask: 0.5564, decode.d1.loss_dice: 0.8219, decode.d2.loss_cls: 0.3517, decode.d2.loss_mask: 0.5441, decode.d2.loss_dice: 0.8007, decode.d3.loss_cls: 0.3393, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.7910, decode.d4.loss_cls: 0.3238, decode.d4.loss_mask: 0.5368, decode.d4.loss_dice: 0.7900, decode.d5.loss_cls: 0.3235, decode.d5.loss_mask: 0.5351, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.3102, decode.d6.loss_mask: 0.5349, decode.d6.loss_dice: 0.7813, decode.d7.loss_cls: 0.3085, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7794, decode.d8.loss_cls: 0.3080, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.7816, loss: 17.6850 2022-05-01 12:37:03,560 - mmseg - INFO - Iter [38650/80000] lr: 7.421e-07, eta: 22:19:17, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3221, decode.loss_mask: 0.5476, decode.loss_dice: 0.7766, decode.d0.loss_cls: 1.3569, decode.d0.loss_mask: 0.5943, decode.d0.loss_dice: 0.8853, decode.d1.loss_cls: 0.4051, decode.d1.loss_mask: 0.5732, decode.d1.loss_dice: 0.8402, decode.d2.loss_cls: 0.3655, decode.d2.loss_mask: 0.5572, decode.d2.loss_dice: 0.8065, decode.d3.loss_cls: 0.3491, decode.d3.loss_mask: 0.5539, decode.d3.loss_dice: 0.7942, decode.d4.loss_cls: 0.3366, decode.d4.loss_mask: 0.5520, decode.d4.loss_dice: 0.7930, decode.d5.loss_cls: 0.3342, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.7908, decode.d6.loss_cls: 0.3285, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.7797, decode.d7.loss_cls: 0.3260, decode.d7.loss_mask: 0.5479, decode.d7.loss_dice: 0.7801, decode.d8.loss_cls: 0.3250, decode.d8.loss_mask: 0.5435, decode.d8.loss_dice: 0.7786, loss: 18.0379 2022-05-01 12:38:39,697 - mmseg - INFO - Iter [38700/80000] lr: 7.412e-07, eta: 22:17:39, time: 1.923, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3169, decode.loss_mask: 0.5294, decode.loss_dice: 0.7933, decode.d0.loss_cls: 1.3601, decode.d0.loss_mask: 0.5732, decode.d0.loss_dice: 0.9005, decode.d1.loss_cls: 0.4015, decode.d1.loss_mask: 0.5561, decode.d1.loss_dice: 0.8477, decode.d2.loss_cls: 0.3630, decode.d2.loss_mask: 0.5407, decode.d2.loss_dice: 0.8162, decode.d3.loss_cls: 0.3437, decode.d3.loss_mask: 0.5351, decode.d3.loss_dice: 0.8040, decode.d4.loss_cls: 0.3290, decode.d4.loss_mask: 0.5337, decode.d4.loss_dice: 0.8091, decode.d5.loss_cls: 0.3226, decode.d5.loss_mask: 0.5348, decode.d5.loss_dice: 0.8054, decode.d6.loss_cls: 0.3156, decode.d6.loss_mask: 0.5292, decode.d6.loss_dice: 0.7951, decode.d7.loss_cls: 0.3154, decode.d7.loss_mask: 0.5278, decode.d7.loss_dice: 0.8004, decode.d8.loss_cls: 0.3159, decode.d8.loss_mask: 0.5311, decode.d8.loss_dice: 0.7945, loss: 17.9410 2022-05-01 12:40:14,630 - mmseg - INFO - Iter [38750/80000] lr: 7.404e-07, eta: 22:15:59, time: 1.899, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3025, decode.loss_mask: 0.5134, decode.loss_dice: 0.7584, decode.d0.loss_cls: 1.3232, decode.d0.loss_mask: 0.5608, decode.d0.loss_dice: 0.8540, decode.d1.loss_cls: 0.3819, decode.d1.loss_mask: 0.5407, decode.d1.loss_dice: 0.8051, decode.d2.loss_cls: 0.3492, decode.d2.loss_mask: 0.5230, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.3269, decode.d3.loss_mask: 0.5213, decode.d3.loss_dice: 0.7678, decode.d4.loss_cls: 0.3233, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7662, decode.d5.loss_cls: 0.3153, decode.d5.loss_mask: 0.5186, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.3040, decode.d6.loss_mask: 0.5152, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.3064, decode.d7.loss_mask: 0.5136, decode.d7.loss_dice: 0.7582, decode.d8.loss_cls: 0.3010, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7553, loss: 17.2404 2022-05-01 12:41:48,517 - mmseg - INFO - Iter [38800/80000] lr: 7.395e-07, eta: 22:14:18, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2927, decode.loss_mask: 0.5358, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.2991, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.8669, decode.d1.loss_cls: 0.3672, decode.d1.loss_mask: 0.5576, decode.d1.loss_dice: 0.8186, decode.d2.loss_cls: 0.3291, decode.d2.loss_mask: 0.5444, decode.d2.loss_dice: 0.7928, decode.d3.loss_cls: 0.3128, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.7767, decode.d4.loss_cls: 0.3096, decode.d4.loss_mask: 0.5402, decode.d4.loss_dice: 0.7754, decode.d5.loss_cls: 0.2986, decode.d5.loss_mask: 0.5389, decode.d5.loss_dice: 0.7704, decode.d6.loss_cls: 0.2944, decode.d6.loss_mask: 0.5375, decode.d6.loss_dice: 0.7672, decode.d7.loss_cls: 0.2897, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7711, decode.d8.loss_cls: 0.2901, decode.d8.loss_mask: 0.5349, decode.d8.loss_dice: 0.7668, loss: 17.3944 2022-05-01 12:43:22,582 - mmseg - INFO - Iter [38850/80000] lr: 7.386e-07, eta: 22:12:38, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3323, decode.loss_mask: 0.5268, decode.loss_dice: 0.7790, decode.d0.loss_cls: 1.3605, decode.d0.loss_mask: 0.5694, decode.d0.loss_dice: 0.8901, decode.d1.loss_cls: 0.4216, decode.d1.loss_mask: 0.5451, decode.d1.loss_dice: 0.8318, decode.d2.loss_cls: 0.3762, decode.d2.loss_mask: 0.5378, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.3588, decode.d3.loss_mask: 0.5284, decode.d3.loss_dice: 0.7944, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7935, decode.d5.loss_cls: 0.3452, decode.d5.loss_mask: 0.5292, decode.d5.loss_dice: 0.7908, decode.d6.loss_cls: 0.3392, decode.d6.loss_mask: 0.5287, decode.d6.loss_dice: 0.7848, decode.d7.loss_cls: 0.3349, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.7857, decode.d8.loss_cls: 0.3293, decode.d8.loss_mask: 0.5280, decode.d8.loss_dice: 0.7862, loss: 17.9412 2022-05-01 12:44:56,686 - mmseg - INFO - Iter [38900/80000] lr: 7.377e-07, eta: 22:10:58, time: 1.881, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3157, decode.loss_mask: 0.5368, decode.loss_dice: 0.7522, decode.d0.loss_cls: 1.3353, decode.d0.loss_mask: 0.5861, decode.d0.loss_dice: 0.8630, decode.d1.loss_cls: 0.3965, decode.d1.loss_mask: 0.5678, decode.d1.loss_dice: 0.8086, decode.d2.loss_cls: 0.3597, decode.d2.loss_mask: 0.5516, decode.d2.loss_dice: 0.7809, decode.d3.loss_cls: 0.3370, decode.d3.loss_mask: 0.5442, decode.d3.loss_dice: 0.7735, decode.d4.loss_cls: 0.3251, decode.d4.loss_mask: 0.5416, decode.d4.loss_dice: 0.7741, decode.d5.loss_cls: 0.3234, decode.d5.loss_mask: 0.5399, decode.d5.loss_dice: 0.7638, decode.d6.loss_cls: 0.3147, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.7569, decode.d7.loss_cls: 0.3154, decode.d7.loss_mask: 0.5393, decode.d7.loss_dice: 0.7592, decode.d8.loss_cls: 0.3168, decode.d8.loss_mask: 0.5373, decode.d8.loss_dice: 0.7576, loss: 17.6124 2022-05-01 12:46:32,058 - mmseg - INFO - Iter [38950/80000] lr: 7.368e-07, eta: 22:09:19, time: 1.909, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3204, decode.loss_mask: 0.5337, decode.loss_dice: 0.7719, decode.d0.loss_cls: 1.3501, decode.d0.loss_mask: 0.5842, decode.d0.loss_dice: 0.8780, decode.d1.loss_cls: 0.4040, decode.d1.loss_mask: 0.5663, decode.d1.loss_dice: 0.8337, decode.d2.loss_cls: 0.3591, decode.d2.loss_mask: 0.5483, decode.d2.loss_dice: 0.8080, decode.d3.loss_cls: 0.3411, decode.d3.loss_mask: 0.5424, decode.d3.loss_dice: 0.7866, decode.d4.loss_cls: 0.3297, decode.d4.loss_mask: 0.5386, decode.d4.loss_dice: 0.7845, decode.d5.loss_cls: 0.3248, decode.d5.loss_mask: 0.5414, decode.d5.loss_dice: 0.7842, decode.d6.loss_cls: 0.3190, decode.d6.loss_mask: 0.5368, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5357, decode.d7.loss_dice: 0.7819, decode.d8.loss_cls: 0.3165, decode.d8.loss_mask: 0.5360, decode.d8.loss_dice: 0.7822, loss: 17.8354 2022-05-01 12:48:06,098 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-05-01 12:48:23,718 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 12:48:23,719 - mmseg - INFO - Iter [39000/80000] lr: 7.359e-07, eta: 22:07:57, time: 2.233, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3187, decode.loss_mask: 0.5486, decode.loss_dice: 0.7956, decode.d0.loss_cls: 1.3802, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.8890, decode.d1.loss_cls: 0.4050, decode.d1.loss_mask: 0.5719, decode.d1.loss_dice: 0.8462, decode.d2.loss_cls: 0.3601, decode.d2.loss_mask: 0.5587, decode.d2.loss_dice: 0.8167, decode.d3.loss_cls: 0.3444, decode.d3.loss_mask: 0.5542, decode.d3.loss_dice: 0.8011, decode.d4.loss_cls: 0.3329, decode.d4.loss_mask: 0.5535, decode.d4.loss_dice: 0.8021, decode.d5.loss_cls: 0.3278, decode.d5.loss_mask: 0.5528, decode.d5.loss_dice: 0.7979, decode.d6.loss_cls: 0.3227, decode.d6.loss_mask: 0.5491, decode.d6.loss_dice: 0.7961, decode.d7.loss_cls: 0.3200, decode.d7.loss_mask: 0.5483, decode.d7.loss_dice: 0.7939, decode.d8.loss_cls: 0.3184, decode.d8.loss_mask: 0.5500, decode.d8.loss_dice: 0.7965, loss: 18.1475 2022-05-01 12:49:59,276 - mmseg - INFO - Iter [39050/80000] lr: 7.350e-07, eta: 22:06:18, time: 1.911, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3048, decode.loss_mask: 0.5371, decode.loss_dice: 0.8013, decode.d0.loss_cls: 1.2960, decode.d0.loss_mask: 0.5776, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.3901, decode.d1.loss_mask: 0.5629, decode.d1.loss_dice: 0.8504, decode.d2.loss_cls: 0.3435, decode.d2.loss_mask: 0.5496, decode.d2.loss_dice: 0.8249, decode.d3.loss_cls: 0.3300, decode.d3.loss_mask: 0.5441, decode.d3.loss_dice: 0.8096, decode.d4.loss_cls: 0.3148, decode.d4.loss_mask: 0.5445, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3086, decode.d5.loss_mask: 0.5411, decode.d5.loss_dice: 0.8062, decode.d6.loss_cls: 0.3076, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.8006, decode.d7.loss_cls: 0.3082, decode.d7.loss_mask: 0.5369, decode.d7.loss_dice: 0.7998, decode.d8.loss_cls: 0.3082, decode.d8.loss_mask: 0.5350, decode.d8.loss_dice: 0.7961, loss: 17.8777 2022-05-01 12:51:33,267 - mmseg - INFO - Iter [39100/80000] lr: 7.341e-07, eta: 22:04:37, time: 1.879, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3312, decode.loss_mask: 0.5364, decode.loss_dice: 0.7946, decode.d0.loss_cls: 1.3580, decode.d0.loss_mask: 0.5842, decode.d0.loss_dice: 0.9032, decode.d1.loss_cls: 0.4123, decode.d1.loss_mask: 0.5671, decode.d1.loss_dice: 0.8551, decode.d2.loss_cls: 0.3760, decode.d2.loss_mask: 0.5497, decode.d2.loss_dice: 0.8266, decode.d3.loss_cls: 0.3528, decode.d3.loss_mask: 0.5475, decode.d3.loss_dice: 0.8124, decode.d4.loss_cls: 0.3464, decode.d4.loss_mask: 0.5442, decode.d4.loss_dice: 0.8108, decode.d5.loss_cls: 0.3430, decode.d5.loss_mask: 0.5404, decode.d5.loss_dice: 0.8037, decode.d6.loss_cls: 0.3345, decode.d6.loss_mask: 0.5383, decode.d6.loss_dice: 0.8004, decode.d7.loss_cls: 0.3342, decode.d7.loss_mask: 0.5395, decode.d7.loss_dice: 0.8039, decode.d8.loss_cls: 0.3354, decode.d8.loss_mask: 0.5400, decode.d8.loss_dice: 0.7923, loss: 18.2141 2022-05-01 12:53:08,187 - mmseg - INFO - Iter [39150/80000] lr: 7.332e-07, eta: 22:02:58, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2977, decode.loss_mask: 0.5252, decode.loss_dice: 0.7804, decode.d0.loss_cls: 1.3371, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8962, decode.d1.loss_cls: 0.3900, decode.d1.loss_mask: 0.5500, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3419, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.8126, decode.d3.loss_cls: 0.3218, decode.d3.loss_mask: 0.5286, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3168, decode.d4.loss_mask: 0.5289, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.3084, decode.d5.loss_mask: 0.5282, decode.d5.loss_dice: 0.7922, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5264, decode.d6.loss_dice: 0.7867, decode.d7.loss_cls: 0.2996, decode.d7.loss_mask: 0.5255, decode.d7.loss_dice: 0.7835, decode.d8.loss_cls: 0.3013, decode.d8.loss_mask: 0.5257, decode.d8.loss_dice: 0.7816, loss: 17.6286 2022-05-01 12:54:45,104 - mmseg - INFO - Iter [39200/80000] lr: 7.323e-07, eta: 22:01:20, time: 1.939, data_time: 0.064, memory: 64716, decode.loss_cls: 0.3291, decode.loss_mask: 0.5497, decode.loss_dice: 0.7964, decode.d0.loss_cls: 1.3663, decode.d0.loss_mask: 0.5982, decode.d0.loss_dice: 0.9124, decode.d1.loss_cls: 0.4201, decode.d1.loss_mask: 0.5779, decode.d1.loss_dice: 0.8663, decode.d2.loss_cls: 0.3689, decode.d2.loss_mask: 0.5694, decode.d2.loss_dice: 0.8286, decode.d3.loss_cls: 0.3501, decode.d3.loss_mask: 0.5575, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3395, decode.d4.loss_mask: 0.5565, decode.d4.loss_dice: 0.8123, decode.d5.loss_cls: 0.3399, decode.d5.loss_mask: 0.5524, decode.d5.loss_dice: 0.8057, decode.d6.loss_cls: 0.3281, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.8062, decode.d7.loss_cls: 0.3304, decode.d7.loss_mask: 0.5511, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3257, decode.d8.loss_mask: 0.5519, decode.d8.loss_dice: 0.8022, loss: 18.3580 2022-05-01 12:56:21,138 - mmseg - INFO - Iter [39250/80000] lr: 7.314e-07, eta: 21:59:42, time: 1.921, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3126, decode.loss_mask: 0.5473, decode.loss_dice: 0.7839, decode.d0.loss_cls: 1.3487, decode.d0.loss_mask: 0.6030, decode.d0.loss_dice: 0.8919, decode.d1.loss_cls: 0.4038, decode.d1.loss_mask: 0.5735, decode.d1.loss_dice: 0.8452, decode.d2.loss_cls: 0.3491, decode.d2.loss_mask: 0.5621, decode.d2.loss_dice: 0.8112, decode.d3.loss_cls: 0.3322, decode.d3.loss_mask: 0.5544, decode.d3.loss_dice: 0.7952, decode.d4.loss_cls: 0.3229, decode.d4.loss_mask: 0.5530, decode.d4.loss_dice: 0.7939, decode.d5.loss_cls: 0.3186, decode.d5.loss_mask: 0.5526, decode.d5.loss_dice: 0.7896, decode.d6.loss_cls: 0.3133, decode.d6.loss_mask: 0.5507, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3153, decode.d7.loss_mask: 0.5484, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.3143, decode.d8.loss_mask: 0.5492, decode.d8.loss_dice: 0.7843, loss: 17.9929 2022-05-01 12:57:55,775 - mmseg - INFO - Iter [39300/80000] lr: 7.305e-07, eta: 21:58:02, time: 1.892, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3045, decode.loss_mask: 0.5337, decode.loss_dice: 0.7712, decode.d0.loss_cls: 1.3445, decode.d0.loss_mask: 0.5815, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3821, decode.d1.loss_mask: 0.5608, decode.d1.loss_dice: 0.8344, decode.d2.loss_cls: 0.3416, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.8001, decode.d3.loss_cls: 0.3249, decode.d3.loss_mask: 0.5418, decode.d3.loss_dice: 0.7834, decode.d4.loss_cls: 0.3140, decode.d4.loss_mask: 0.5382, decode.d4.loss_dice: 0.7826, decode.d5.loss_cls: 0.3107, decode.d5.loss_mask: 0.5374, decode.d5.loss_dice: 0.7762, decode.d6.loss_cls: 0.3025, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3040, decode.d7.loss_mask: 0.5332, decode.d7.loss_dice: 0.7710, decode.d8.loss_cls: 0.3016, decode.d8.loss_mask: 0.5350, decode.d8.loss_dice: 0.7691, loss: 17.6126 2022-05-01 12:59:30,585 - mmseg - INFO - Iter [39350/80000] lr: 7.296e-07, eta: 21:56:23, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3104, decode.loss_mask: 0.5351, decode.loss_dice: 0.7760, decode.d0.loss_cls: 1.3408, decode.d0.loss_mask: 0.5784, decode.d0.loss_dice: 0.8827, decode.d1.loss_cls: 0.3909, decode.d1.loss_mask: 0.5585, decode.d1.loss_dice: 0.8423, decode.d2.loss_cls: 0.3565, decode.d2.loss_mask: 0.5438, decode.d2.loss_dice: 0.8022, decode.d3.loss_cls: 0.3399, decode.d3.loss_mask: 0.5375, decode.d3.loss_dice: 0.7916, decode.d4.loss_cls: 0.3324, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.7851, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5360, decode.d5.loss_dice: 0.7825, decode.d6.loss_cls: 0.3156, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.3125, decode.d7.loss_mask: 0.5337, decode.d7.loss_dice: 0.7757, decode.d8.loss_cls: 0.3115, decode.d8.loss_mask: 0.5328, decode.d8.loss_dice: 0.7745, loss: 17.7424 2022-05-01 13:01:05,730 - mmseg - INFO - Iter [39400/80000] lr: 7.287e-07, eta: 21:54:43, time: 1.903, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2980, decode.loss_mask: 0.5194, decode.loss_dice: 0.7776, decode.d0.loss_cls: 1.3145, decode.d0.loss_mask: 0.5640, decode.d0.loss_dice: 0.8850, decode.d1.loss_cls: 0.3847, decode.d1.loss_mask: 0.5410, decode.d1.loss_dice: 0.8307, decode.d2.loss_cls: 0.3341, decode.d2.loss_mask: 0.5276, decode.d2.loss_dice: 0.8050, decode.d3.loss_cls: 0.3186, decode.d3.loss_mask: 0.5213, decode.d3.loss_dice: 0.7874, decode.d4.loss_cls: 0.3050, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.7833, decode.d5.loss_cls: 0.3046, decode.d5.loss_mask: 0.5216, decode.d5.loss_dice: 0.7858, decode.d6.loss_cls: 0.2981, decode.d6.loss_mask: 0.5204, decode.d6.loss_dice: 0.7726, decode.d7.loss_cls: 0.2971, decode.d7.loss_mask: 0.5200, decode.d7.loss_dice: 0.7807, decode.d8.loss_cls: 0.2955, decode.d8.loss_mask: 0.5211, decode.d8.loss_dice: 0.7754, loss: 17.4110 2022-05-01 13:02:40,756 - mmseg - INFO - Iter [39450/80000] lr: 7.278e-07, eta: 21:53:04, time: 1.902, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3419, decode.loss_mask: 0.5403, decode.loss_dice: 0.7909, decode.d0.loss_cls: 1.3522, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.8979, decode.d1.loss_cls: 0.4373, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8431, decode.d2.loss_cls: 0.3824, decode.d2.loss_mask: 0.5517, decode.d2.loss_dice: 0.8147, decode.d3.loss_cls: 0.3615, decode.d3.loss_mask: 0.5460, decode.d3.loss_dice: 0.8016, decode.d4.loss_cls: 0.3603, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.7972, decode.d5.loss_cls: 0.3484, decode.d5.loss_mask: 0.5431, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.3487, decode.d6.loss_mask: 0.5405, decode.d6.loss_dice: 0.7879, decode.d7.loss_cls: 0.3460, decode.d7.loss_mask: 0.5422, decode.d7.loss_dice: 0.7859, decode.d8.loss_cls: 0.3418, decode.d8.loss_mask: 0.5413, decode.d8.loss_dice: 0.7881, loss: 18.2286 2022-05-01 13:04:16,372 - mmseg - INFO - Iter [39500/80000] lr: 7.269e-07, eta: 21:51:25, time: 1.911, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3087, decode.loss_mask: 0.5334, decode.loss_dice: 0.7702, decode.d0.loss_cls: 1.3375, decode.d0.loss_mask: 0.5845, decode.d0.loss_dice: 0.8834, decode.d1.loss_cls: 0.4014, decode.d1.loss_mask: 0.5552, decode.d1.loss_dice: 0.8313, decode.d2.loss_cls: 0.3491, decode.d2.loss_mask: 0.5445, decode.d2.loss_dice: 0.8054, decode.d3.loss_cls: 0.3288, decode.d3.loss_mask: 0.5397, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.3183, decode.d4.loss_mask: 0.5375, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.3188, decode.d5.loss_mask: 0.5322, decode.d5.loss_dice: 0.7804, decode.d6.loss_cls: 0.3141, decode.d6.loss_mask: 0.5299, decode.d6.loss_dice: 0.7747, decode.d7.loss_cls: 0.3120, decode.d7.loss_mask: 0.5301, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.3064, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7678, loss: 17.6611 2022-05-01 13:05:51,260 - mmseg - INFO - Iter [39550/80000] lr: 7.260e-07, eta: 21:49:46, time: 1.898, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2999, decode.loss_mask: 0.5257, decode.loss_dice: 0.7788, decode.d0.loss_cls: 1.3373, decode.d0.loss_mask: 0.5710, decode.d0.loss_dice: 0.8823, decode.d1.loss_cls: 0.3798, decode.d1.loss_mask: 0.5578, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3385, decode.d2.loss_mask: 0.5428, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.3175, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7977, decode.d4.loss_cls: 0.3129, decode.d4.loss_mask: 0.5302, decode.d4.loss_dice: 0.7930, decode.d5.loss_cls: 0.3069, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7895, decode.d6.loss_cls: 0.2991, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7856, decode.d7.loss_cls: 0.2942, decode.d7.loss_mask: 0.5275, decode.d7.loss_dice: 0.7854, decode.d8.loss_cls: 0.2942, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7822, loss: 17.5904 2022-05-01 13:07:25,531 - mmseg - INFO - Iter [39600/80000] lr: 7.251e-07, eta: 21:48:06, time: 1.885, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2958, decode.loss_mask: 0.5181, decode.loss_dice: 0.7577, decode.d0.loss_cls: 1.3403, decode.d0.loss_mask: 0.5591, decode.d0.loss_dice: 0.8643, decode.d1.loss_cls: 0.3892, decode.d1.loss_mask: 0.5402, decode.d1.loss_dice: 0.8092, decode.d2.loss_cls: 0.3463, decode.d2.loss_mask: 0.5243, decode.d2.loss_dice: 0.7916, decode.d3.loss_cls: 0.3196, decode.d3.loss_mask: 0.5186, decode.d3.loss_dice: 0.7756, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5165, decode.d4.loss_dice: 0.7770, decode.d5.loss_cls: 0.3108, decode.d5.loss_mask: 0.5168, decode.d5.loss_dice: 0.7690, decode.d6.loss_cls: 0.3070, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7582, decode.d7.loss_cls: 0.3004, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7595, decode.d8.loss_cls: 0.2951, decode.d8.loss_mask: 0.5174, decode.d8.loss_dice: 0.7615, loss: 17.2913 2022-05-01 13:09:00,823 - mmseg - INFO - Iter [39650/80000] lr: 7.242e-07, eta: 21:46:27, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3042, decode.loss_mask: 0.5275, decode.loss_dice: 0.7756, decode.d0.loss_cls: 1.3759, decode.d0.loss_mask: 0.5779, decode.d0.loss_dice: 0.8838, decode.d1.loss_cls: 0.4051, decode.d1.loss_mask: 0.5523, decode.d1.loss_dice: 0.8282, decode.d2.loss_cls: 0.3568, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.7976, decode.d3.loss_cls: 0.3348, decode.d3.loss_mask: 0.5391, decode.d3.loss_dice: 0.7847, decode.d4.loss_cls: 0.3248, decode.d4.loss_mask: 0.5363, decode.d4.loss_dice: 0.7882, decode.d5.loss_cls: 0.3202, decode.d5.loss_mask: 0.5320, decode.d5.loss_dice: 0.7841, decode.d6.loss_cls: 0.3119, decode.d6.loss_mask: 0.5313, decode.d6.loss_dice: 0.7763, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5314, decode.d7.loss_dice: 0.7796, decode.d8.loss_cls: 0.3071, decode.d8.loss_mask: 0.5292, decode.d8.loss_dice: 0.7708, loss: 17.7133 2022-05-01 13:10:35,794 - mmseg - INFO - Iter [39700/80000] lr: 7.233e-07, eta: 21:44:48, time: 1.901, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2964, decode.loss_mask: 0.5176, decode.loss_dice: 0.7724, decode.d0.loss_cls: 1.3336, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8775, decode.d1.loss_cls: 0.3890, decode.d1.loss_mask: 0.5379, decode.d1.loss_dice: 0.8227, decode.d2.loss_cls: 0.3416, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.7931, decode.d3.loss_cls: 0.3234, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7827, decode.d4.loss_cls: 0.3142, decode.d4.loss_mask: 0.5195, decode.d4.loss_dice: 0.7756, decode.d5.loss_cls: 0.3083, decode.d5.loss_mask: 0.5207, decode.d5.loss_dice: 0.7749, decode.d6.loss_cls: 0.3067, decode.d6.loss_mask: 0.5176, decode.d6.loss_dice: 0.7717, decode.d7.loss_cls: 0.2960, decode.d7.loss_mask: 0.5192, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.2944, decode.d8.loss_mask: 0.5188, decode.d8.loss_dice: 0.7756, loss: 17.3871 2022-05-01 13:12:10,446 - mmseg - INFO - Iter [39750/80000] lr: 7.224e-07, eta: 21:43:08, time: 1.892, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3118, decode.loss_mask: 0.5115, decode.loss_dice: 0.7496, decode.d0.loss_cls: 1.3740, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8665, decode.d1.loss_cls: 0.4072, decode.d1.loss_mask: 0.5405, decode.d1.loss_dice: 0.8127, decode.d2.loss_cls: 0.3640, decode.d2.loss_mask: 0.5273, decode.d2.loss_dice: 0.7828, decode.d3.loss_cls: 0.3432, decode.d3.loss_mask: 0.5167, decode.d3.loss_dice: 0.7640, decode.d4.loss_cls: 0.3313, decode.d4.loss_mask: 0.5144, decode.d4.loss_dice: 0.7605, decode.d5.loss_cls: 0.3242, decode.d5.loss_mask: 0.5155, decode.d5.loss_dice: 0.7617, decode.d6.loss_cls: 0.3153, decode.d6.loss_mask: 0.5139, decode.d6.loss_dice: 0.7538, decode.d7.loss_cls: 0.3126, decode.d7.loss_mask: 0.5109, decode.d7.loss_dice: 0.7542, decode.d8.loss_cls: 0.3118, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7521, loss: 17.3791 2022-05-01 13:13:43,999 - mmseg - INFO - Iter [39800/80000] lr: 7.215e-07, eta: 21:41:27, time: 1.872, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2977, decode.loss_mask: 0.5515, decode.loss_dice: 0.7744, decode.d0.loss_cls: 1.2846, decode.d0.loss_mask: 0.5987, decode.d0.loss_dice: 0.8700, decode.d1.loss_cls: 0.3800, decode.d1.loss_mask: 0.5768, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5633, decode.d2.loss_dice: 0.7980, decode.d3.loss_cls: 0.3217, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.7832, decode.d4.loss_cls: 0.3109, decode.d4.loss_mask: 0.5554, decode.d4.loss_dice: 0.7858, decode.d5.loss_cls: 0.3058, decode.d5.loss_mask: 0.5538, decode.d5.loss_dice: 0.7814, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5530, decode.d6.loss_dice: 0.7746, decode.d7.loss_cls: 0.2970, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.7803, decode.d8.loss_cls: 0.2972, decode.d8.loss_mask: 0.5526, decode.d8.loss_dice: 0.7784, loss: 17.7023 2022-05-01 13:15:17,695 - mmseg - INFO - Iter [39850/80000] lr: 7.206e-07, eta: 21:39:47, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3072, decode.loss_mask: 0.5379, decode.loss_dice: 0.7813, decode.d0.loss_cls: 1.3119, decode.d0.loss_mask: 0.5881, decode.d0.loss_dice: 0.8846, decode.d1.loss_cls: 0.3976, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8355, decode.d2.loss_cls: 0.3485, decode.d2.loss_mask: 0.5489, decode.d2.loss_dice: 0.8071, decode.d3.loss_cls: 0.3346, decode.d3.loss_mask: 0.5412, decode.d3.loss_dice: 0.7872, decode.d4.loss_cls: 0.3286, decode.d4.loss_mask: 0.5405, decode.d4.loss_dice: 0.7913, decode.d5.loss_cls: 0.3231, decode.d5.loss_mask: 0.5384, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3170, decode.d6.loss_mask: 0.5374, decode.d6.loss_dice: 0.7800, decode.d7.loss_cls: 0.3166, decode.d7.loss_mask: 0.5373, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.3123, decode.d8.loss_mask: 0.5374, decode.d8.loss_dice: 0.7830, loss: 17.7860 2022-05-01 13:16:51,771 - mmseg - INFO - Iter [39900/80000] lr: 7.197e-07, eta: 21:38:06, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3301, decode.loss_mask: 0.5302, decode.loss_dice: 0.7800, decode.d0.loss_cls: 1.3372, decode.d0.loss_mask: 0.5825, decode.d0.loss_dice: 0.8987, decode.d1.loss_cls: 0.4166, decode.d1.loss_mask: 0.5603, decode.d1.loss_dice: 0.8442, decode.d2.loss_cls: 0.3758, decode.d2.loss_mask: 0.5386, decode.d2.loss_dice: 0.8055, decode.d3.loss_cls: 0.3547, decode.d3.loss_mask: 0.5329, decode.d3.loss_dice: 0.7923, decode.d4.loss_cls: 0.3457, decode.d4.loss_mask: 0.5325, decode.d4.loss_dice: 0.7881, decode.d5.loss_cls: 0.3392, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.7880, decode.d6.loss_cls: 0.3378, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7805, decode.d7.loss_cls: 0.3352, decode.d7.loss_mask: 0.5283, decode.d7.loss_dice: 0.7812, decode.d8.loss_cls: 0.3308, decode.d8.loss_mask: 0.5320, decode.d8.loss_dice: 0.7826, loss: 17.9401 2022-05-01 13:18:27,476 - mmseg - INFO - Iter [39950/80000] lr: 7.188e-07, eta: 21:36:28, time: 1.913, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3241, decode.loss_mask: 0.5539, decode.loss_dice: 0.8058, decode.d0.loss_cls: 1.3443, decode.d0.loss_mask: 0.6030, decode.d0.loss_dice: 0.9239, decode.d1.loss_cls: 0.4203, decode.d1.loss_mask: 0.5792, decode.d1.loss_dice: 0.8608, decode.d2.loss_cls: 0.3671, decode.d2.loss_mask: 0.5638, decode.d2.loss_dice: 0.8394, decode.d3.loss_cls: 0.3458, decode.d3.loss_mask: 0.5621, decode.d3.loss_dice: 0.8192, decode.d4.loss_cls: 0.3430, decode.d4.loss_mask: 0.5605, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.3321, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8151, decode.d6.loss_cls: 0.3254, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8066, decode.d7.loss_cls: 0.3269, decode.d7.loss_mask: 0.5550, decode.d7.loss_dice: 0.8060, decode.d8.loss_cls: 0.3253, decode.d8.loss_mask: 0.5549, decode.d8.loss_dice: 0.8098, loss: 18.4060 2022-05-01 13:20:02,168 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-05-01 13:20:20,613 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 13:20:20,616 - mmseg - INFO - Iter [40000/80000] lr: 7.179e-07, eta: 21:35:07, time: 2.262, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2937, decode.loss_mask: 0.5158, decode.loss_dice: 0.7321, decode.d0.loss_cls: 1.3204, decode.d0.loss_mask: 0.5724, decode.d0.loss_dice: 0.8447, decode.d1.loss_cls: 0.3741, decode.d1.loss_mask: 0.5425, decode.d1.loss_dice: 0.7886, decode.d2.loss_cls: 0.3349, decode.d2.loss_mask: 0.5268, decode.d2.loss_dice: 0.7568, decode.d3.loss_cls: 0.3136, decode.d3.loss_mask: 0.5214, decode.d3.loss_dice: 0.7412, decode.d4.loss_cls: 0.3069, decode.d4.loss_mask: 0.5218, decode.d4.loss_dice: 0.7455, decode.d5.loss_cls: 0.2961, decode.d5.loss_mask: 0.5204, decode.d5.loss_dice: 0.7369, decode.d6.loss_cls: 0.2984, decode.d6.loss_mask: 0.5167, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2943, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7314, decode.d8.loss_cls: 0.2904, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7314, loss: 16.9298 2022-05-01 13:22:21,878 - mmseg - INFO - per class results: 2022-05-01 13:22:21,894 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.76 | 89.1 | | building | 85.62 | 91.38 | | sky | 95.16 | 97.45 | | floor | 85.75 | 91.52 | | tree | 77.8 | 88.15 | | ceiling | 88.11 | 95.0 | | road | 86.71 | 91.06 | | bed | 92.72 | 97.54 | | windowpane | 65.5 | 81.84 | | grass | 72.91 | 89.42 | | cabinet | 65.11 | 75.89 | | sidewalk | 72.31 | 87.29 | | person | 87.85 | 94.41 | | earth | 41.53 | 54.43 | | door | 61.37 | 79.47 | | table | 70.52 | 79.66 | | mountain | 62.39 | 79.78 | | plant | 55.02 | 70.29 | | curtain | 81.25 | 89.91 | | chair | 67.6 | 78.83 | | car | 89.21 | 94.19 | | water | 55.47 | 67.32 | | painting | 80.43 | 90.62 | | sofa | 84.0 | 91.03 | | shelf | 47.14 | 58.36 | | house | 51.76 | 71.62 | | sea | 71.07 | 89.32 | | mirror | 79.25 | 89.18 | | rug | 66.49 | 80.47 | | field | 35.8 | 48.51 | | armchair | 58.15 | 75.42 | | seat | 69.13 | 92.7 | | fence | 53.31 | 75.43 | | desk | 60.06 | 80.23 | | rock | 54.25 | 73.83 | | wardrobe | 57.19 | 85.34 | | lamp | 78.26 | 88.67 | | bathtub | 90.25 | 92.35 | | railing | 42.48 | 59.14 | | cushion | 72.55 | 82.96 | | base | 43.27 | 69.85 | | box | 39.04 | 57.46 | | column | 55.79 | 69.33 | | signboard | 46.48 | 63.83 | | chest of drawers | 46.28 | 65.37 | | counter | 37.61 | 45.97 | | sand | 62.3 | 89.5 | | sink | 78.78 | 86.31 | | skyscraper | 48.33 | 64.21 | | fireplace | 82.59 | 96.81 | | refrigerator | 82.61 | 89.57 | | grandstand | 50.39 | 85.01 | | path | 26.5 | 35.31 | | stairs | 36.97 | 41.94 | | runway | 76.44 | 97.57 | | case | 65.4 | 80.28 | | pool table | 95.52 | 98.06 | | pillow | 69.46 | 81.72 | | screen door | 60.86 | 72.32 | | stairway | 50.37 | 76.09 | | river | 23.79 | 59.13 | | bridge | 81.31 | 90.56 | | bookcase | 38.1 | 62.38 | | blind | 42.16 | 51.31 | | coffee table | 67.38 | 87.72 | | toilet | 91.28 | 94.87 | | flower | 46.28 | 73.18 | | book | 57.35 | 81.32 | | hill | 8.66 | 12.92 | | bench | 55.52 | 65.9 | | countertop | 64.92 | 84.67 | | stove | 84.53 | 90.33 | | palm | 54.47 | 78.74 | | kitchen island | 48.9 | 81.39 | | computer | 82.89 | 91.04 | | swivel chair | 52.66 | 75.6 | | boat | 78.82 | 92.0 | | bar | 58.11 | 84.41 | | arcade machine | 60.89 | 66.19 | | hovel | 33.97 | 48.64 | | bus | 93.62 | 96.86 | | towel | 82.04 | 91.45 | | light | 65.69 | 82.28 | | truck | 46.86 | 64.72 | | tower | 35.66 | 59.7 | | chandelier | 74.33 | 85.26 | | awning | 37.83 | 48.43 | | streetlight | 48.06 | 68.41 | | booth | 50.89 | 90.55 | | television receiver | 78.26 | 94.98 | | airplane | 72.78 | 78.08 | | dirt track | 23.24 | 41.21 | | apparel | 57.0 | 91.34 | | pole | 39.62 | 58.63 | | land | 0.0 | 0.0 | | bannister | 19.58 | 34.87 | | escalator | 62.26 | 79.08 | | ottoman | 56.6 | 76.44 | | bottle | 33.36 | 42.04 | | buffet | 50.02 | 58.26 | | poster | 39.06 | 60.2 | | stage | 20.08 | 40.96 | | van | 48.92 | 78.3 | | ship | 84.74 | 89.46 | | fountain | 33.84 | 34.9 | | conveyer belt | 59.11 | 94.32 | | canopy | 66.46 | 80.16 | | washer | 89.66 | 95.15 | | plaything | 36.52 | 53.54 | | swimming pool | 50.61 | 74.85 | | stool | 58.76 | 77.27 | | barrel | 76.62 | 98.04 | | basket | 40.29 | 60.72 | | waterfall | 68.48 | 93.0 | | tent | 92.1 | 97.81 | | bag | 32.57 | 47.21 | | minibike | 77.29 | 93.71 | | cradle | 87.06 | 97.77 | | oven | 58.15 | 69.82 | | ball | 47.9 | 54.06 | | food | 73.23 | 83.94 | | step | 21.16 | 31.39 | | tank | 59.42 | 67.39 | | trade name | 32.13 | 38.85 | | microwave | 89.9 | 97.18 | | pot | 59.01 | 72.96 | | animal | 70.49 | 72.34 | | bicycle | 58.65 | 82.59 | | lake | 44.2 | 44.24 | | dishwasher | 69.27 | 85.57 | | screen | 58.1 | 92.54 | | blanket | 27.24 | 42.66 | | sculpture | 71.8 | 90.16 | | hood | 64.16 | 77.07 | | sconce | 62.49 | 75.27 | | vase | 52.78 | 78.08 | | traffic light | 49.84 | 73.27 | | tray | 30.43 | 40.01 | | ashcan | 52.65 | 71.61 | | fan | 70.57 | 84.06 | | pier | 38.42 | 45.22 | | crt screen | 4.96 | 14.17 | | plate | 68.82 | 81.95 | | monitor | 11.06 | 13.59 | | bulletin board | 49.99 | 66.31 | | shower | 3.89 | 28.54 | | radiator | 68.51 | 88.64 | | glass | 26.53 | 29.75 | | clock | 54.7 | 71.83 | | flag | 73.42 | 87.76 | +---------------------+-------+-------+ 2022-05-01 13:22:21,894 - mmseg - INFO - Summary: 2022-05-01 13:22:21,894 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.48 | 58.63 | 73.27 | +-------+-------+-------+ 2022-05-01 13:22:21,904 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_32000.pth was removed 2022-05-01 13:22:54,084 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. 2022-05-01 13:22:54,104 - mmseg - INFO - Best mIoU is 0.5863 at 40000 iter. 2022-05-01 13:22:54,130 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 13:22:54,131 - mmseg - INFO - Iter(val) [125] aAcc: 0.8648, mIoU: 0.5863, mAcc: 0.7327, IoU.wall: 0.8276, IoU.building: 0.8562, IoU.sky: 0.9516, IoU.floor: 0.8575, IoU.tree: 0.7780, IoU.ceiling: 0.8811, IoU.road: 0.8671, IoU.bed : 0.9272, IoU.windowpane: 0.6550, IoU.grass: 0.7291, IoU.cabinet: 0.6511, IoU.sidewalk: 0.7231, IoU.person: 0.8785, IoU.earth: 0.4153, IoU.door: 0.6137, IoU.table: 0.7052, IoU.mountain: 0.6239, IoU.plant: 0.5502, IoU.curtain: 0.8125, IoU.chair: 0.6760, IoU.car: 0.8921, IoU.water: 0.5547, IoU.painting: 0.8043, IoU.sofa: 0.8400, IoU.shelf: 0.4714, IoU.house: 0.5176, IoU.sea: 0.7107, IoU.mirror: 0.7925, IoU.rug: 0.6649, IoU.field: 0.3580, IoU.armchair: 0.5815, IoU.seat: 0.6913, IoU.fence: 0.5331, IoU.desk: 0.6006, IoU.rock: 0.5425, IoU.wardrobe: 0.5719, IoU.lamp: 0.7826, IoU.bathtub: 0.9025, IoU.railing: 0.4248, IoU.cushion: 0.7255, IoU.base: 0.4327, IoU.box: 0.3904, IoU.column: 0.5579, IoU.signboard: 0.4648, IoU.chest of drawers: 0.4628, IoU.counter: 0.3761, IoU.sand: 0.6230, IoU.sink: 0.7878, IoU.skyscraper: 0.4833, IoU.fireplace: 0.8259, IoU.refrigerator: 0.8261, IoU.grandstand: 0.5039, IoU.path: 0.2650, IoU.stairs: 0.3697, IoU.runway: 0.7644, IoU.case: 0.6540, IoU.pool table: 0.9552, IoU.pillow: 0.6946, IoU.screen door: 0.6086, IoU.stairway: 0.5037, IoU.river: 0.2379, IoU.bridge: 0.8131, IoU.bookcase: 0.3810, IoU.blind: 0.4216, IoU.coffee table: 0.6738, IoU.toilet: 0.9128, IoU.flower: 0.4628, IoU.book: 0.5735, IoU.hill: 0.0866, IoU.bench: 0.5552, IoU.countertop: 0.6492, IoU.stove: 0.8453, IoU.palm: 0.5447, IoU.kitchen island: 0.4890, IoU.computer: 0.8289, IoU.swivel chair: 0.5266, IoU.boat: 0.7882, IoU.bar: 0.5811, IoU.arcade machine: 0.6089, IoU.hovel: 0.3397, IoU.bus: 0.9362, IoU.towel: 0.8204, IoU.light: 0.6569, IoU.truck: 0.4686, IoU.tower: 0.3566, IoU.chandelier: 0.7433, IoU.awning: 0.3783, IoU.streetlight: 0.4806, IoU.booth: 0.5089, IoU.television receiver: 0.7826, IoU.airplane: 0.7278, IoU.dirt track: 0.2324, IoU.apparel: 0.5700, IoU.pole: 0.3962, IoU.land: 0.0000, IoU.bannister: 0.1958, IoU.escalator: 0.6226, IoU.ottoman: 0.5660, IoU.bottle: 0.3336, IoU.buffet: 0.5002, IoU.poster: 0.3906, IoU.stage: 0.2008, IoU.van: 0.4892, IoU.ship: 0.8474, IoU.fountain: 0.3384, IoU.conveyer belt: 0.5911, IoU.canopy: 0.6646, IoU.washer: 0.8966, IoU.plaything: 0.3652, IoU.swimming pool: 0.5061, IoU.stool: 0.5876, IoU.barrel: 0.7662, IoU.basket: 0.4029, IoU.waterfall: 0.6848, IoU.tent: 0.9210, IoU.bag: 0.3257, IoU.minibike: 0.7729, IoU.cradle: 0.8706, IoU.oven: 0.5815, IoU.ball: 0.4790, IoU.food: 0.7323, IoU.step: 0.2116, IoU.tank: 0.5942, IoU.trade name: 0.3213, IoU.microwave: 0.8990, IoU.pot: 0.5901, IoU.animal: 0.7049, IoU.bicycle: 0.5865, IoU.lake: 0.4420, IoU.dishwasher: 0.6927, IoU.screen: 0.5810, IoU.blanket: 0.2724, IoU.sculpture: 0.7180, IoU.hood: 0.6416, IoU.sconce: 0.6249, IoU.vase: 0.5278, IoU.traffic light: 0.4984, IoU.tray: 0.3043, IoU.ashcan: 0.5265, IoU.fan: 0.7057, IoU.pier: 0.3842, IoU.crt screen: 0.0496, IoU.plate: 0.6882, IoU.monitor: 0.1106, IoU.bulletin board: 0.4999, IoU.shower: 0.0389, IoU.radiator: 0.6851, IoU.glass: 0.2653, IoU.clock: 0.5470, IoU.flag: 0.7342, Acc.wall: 0.8910, Acc.building: 0.9138, Acc.sky: 0.9745, Acc.floor: 0.9152, Acc.tree: 0.8815, Acc.ceiling: 0.9500, Acc.road: 0.9106, Acc.bed : 0.9754, Acc.windowpane: 0.8184, Acc.grass: 0.8942, Acc.cabinet: 0.7589, Acc.sidewalk: 0.8729, Acc.person: 0.9441, Acc.earth: 0.5443, Acc.door: 0.7947, Acc.table: 0.7966, Acc.mountain: 0.7978, Acc.plant: 0.7029, Acc.curtain: 0.8991, Acc.chair: 0.7883, Acc.car: 0.9419, Acc.water: 0.6732, Acc.painting: 0.9062, Acc.sofa: 0.9103, Acc.shelf: 0.5836, Acc.house: 0.7162, Acc.sea: 0.8932, Acc.mirror: 0.8918, Acc.rug: 0.8047, Acc.field: 0.4851, Acc.armchair: 0.7542, Acc.seat: 0.9270, Acc.fence: 0.7543, Acc.desk: 0.8023, Acc.rock: 0.7383, Acc.wardrobe: 0.8534, Acc.lamp: 0.8867, Acc.bathtub: 0.9235, Acc.railing: 0.5914, Acc.cushion: 0.8296, Acc.base: 0.6985, Acc.box: 0.5746, Acc.column: 0.6933, Acc.signboard: 0.6383, Acc.chest of drawers: 0.6537, Acc.counter: 0.4597, Acc.sand: 0.8950, Acc.sink: 0.8631, Acc.skyscraper: 0.6421, Acc.fireplace: 0.9681, Acc.refrigerator: 0.8957, Acc.grandstand: 0.8501, Acc.path: 0.3531, Acc.stairs: 0.4194, Acc.runway: 0.9757, Acc.case: 0.8028, Acc.pool table: 0.9806, Acc.pillow: 0.8172, Acc.screen door: 0.7232, Acc.stairway: 0.7609, Acc.river: 0.5913, Acc.bridge: 0.9056, Acc.bookcase: 0.6238, Acc.blind: 0.5131, Acc.coffee table: 0.8772, Acc.toilet: 0.9487, Acc.flower: 0.7318, Acc.book: 0.8132, Acc.hill: 0.1292, Acc.bench: 0.6590, Acc.countertop: 0.8467, Acc.stove: 0.9033, Acc.palm: 0.7874, Acc.kitchen island: 0.8139, Acc.computer: 0.9104, Acc.swivel chair: 0.7560, Acc.boat: 0.9200, Acc.bar: 0.8441, Acc.arcade machine: 0.6619, Acc.hovel: 0.4864, Acc.bus: 0.9686, Acc.towel: 0.9145, Acc.light: 0.8228, Acc.truck: 0.6472, Acc.tower: 0.5970, Acc.chandelier: 0.8526, Acc.awning: 0.4843, Acc.streetlight: 0.6841, Acc.booth: 0.9055, Acc.television receiver: 0.9498, Acc.airplane: 0.7808, Acc.dirt track: 0.4121, Acc.apparel: 0.9134, Acc.pole: 0.5863, Acc.land: 0.0000, Acc.bannister: 0.3487, Acc.escalator: 0.7908, Acc.ottoman: 0.7644, Acc.bottle: 0.4204, Acc.buffet: 0.5826, Acc.poster: 0.6020, Acc.stage: 0.4096, Acc.van: 0.7830, Acc.ship: 0.8946, Acc.fountain: 0.3490, Acc.conveyer belt: 0.9432, Acc.canopy: 0.8016, Acc.washer: 0.9515, Acc.plaything: 0.5354, Acc.swimming pool: 0.7485, Acc.stool: 0.7727, Acc.barrel: 0.9804, Acc.basket: 0.6072, Acc.waterfall: 0.9300, Acc.tent: 0.9781, Acc.bag: 0.4721, Acc.minibike: 0.9371, Acc.cradle: 0.9777, Acc.oven: 0.6982, Acc.ball: 0.5406, Acc.food: 0.8394, Acc.step: 0.3139, Acc.tank: 0.6739, Acc.trade name: 0.3885, Acc.microwave: 0.9718, Acc.pot: 0.7296, Acc.animal: 0.7234, Acc.bicycle: 0.8259, Acc.lake: 0.4424, Acc.dishwasher: 0.8557, Acc.screen: 0.9254, Acc.blanket: 0.4266, Acc.sculpture: 0.9016, Acc.hood: 0.7707, Acc.sconce: 0.7527, Acc.vase: 0.7808, Acc.traffic light: 0.7327, Acc.tray: 0.4001, Acc.ashcan: 0.7161, Acc.fan: 0.8406, Acc.pier: 0.4522, Acc.crt screen: 0.1417, Acc.plate: 0.8195, Acc.monitor: 0.1359, Acc.bulletin board: 0.6631, Acc.shower: 0.2854, Acc.radiator: 0.8864, Acc.glass: 0.2975, Acc.clock: 0.7183, Acc.flag: 0.8776 2022-05-01 13:24:30,214 - mmseg - INFO - Iter [40050/80000] lr: 7.170e-07, eta: 21:36:02, time: 4.993, data_time: 3.090, memory: 64716, decode.loss_cls: 0.3320, decode.loss_mask: 0.5194, decode.loss_dice: 0.7738, decode.d0.loss_cls: 1.3842, decode.d0.loss_mask: 0.5655, decode.d0.loss_dice: 0.8815, decode.d1.loss_cls: 0.4113, decode.d1.loss_mask: 0.5463, decode.d1.loss_dice: 0.8397, decode.d2.loss_cls: 0.3625, decode.d2.loss_mask: 0.5363, decode.d2.loss_dice: 0.8076, decode.d3.loss_cls: 0.3535, decode.d3.loss_mask: 0.5268, decode.d3.loss_dice: 0.7837, decode.d4.loss_cls: 0.3490, decode.d4.loss_mask: 0.5247, decode.d4.loss_dice: 0.7831, decode.d5.loss_cls: 0.3411, decode.d5.loss_mask: 0.5224, decode.d5.loss_dice: 0.7837, decode.d6.loss_cls: 0.3343, decode.d6.loss_mask: 0.5204, decode.d6.loss_dice: 0.7738, decode.d7.loss_cls: 0.3302, decode.d7.loss_mask: 0.5212, decode.d7.loss_dice: 0.7729, decode.d8.loss_cls: 0.3334, decode.d8.loss_mask: 0.5207, decode.d8.loss_dice: 0.7734, loss: 17.8085 2022-05-01 13:26:06,282 - mmseg - INFO - Iter [40100/80000] lr: 7.161e-07, eta: 21:34:23, time: 1.921, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3105, decode.loss_mask: 0.5134, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.3436, decode.d0.loss_mask: 0.5577, decode.d0.loss_dice: 0.8734, decode.d1.loss_cls: 0.3962, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8241, decode.d2.loss_cls: 0.3491, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3345, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.7804, decode.d4.loss_cls: 0.3237, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7814, decode.d5.loss_cls: 0.3162, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7748, decode.d6.loss_cls: 0.3198, decode.d6.loss_mask: 0.5130, decode.d6.loss_dice: 0.7746, decode.d7.loss_cls: 0.3126, decode.d7.loss_mask: 0.5134, decode.d7.loss_dice: 0.7763, decode.d8.loss_cls: 0.3119, decode.d8.loss_mask: 0.5116, decode.d8.loss_dice: 0.7726, loss: 17.4684 2022-05-01 13:27:41,096 - mmseg - INFO - Iter [40150/80000] lr: 7.152e-07, eta: 21:32:43, time: 1.896, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3088, decode.loss_mask: 0.5325, decode.loss_dice: 0.7972, decode.d0.loss_cls: 1.3712, decode.d0.loss_mask: 0.5703, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4049, decode.d1.loss_mask: 0.5571, decode.d1.loss_dice: 0.8505, decode.d2.loss_cls: 0.3634, decode.d2.loss_mask: 0.5440, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3429, decode.d3.loss_mask: 0.5349, decode.d3.loss_dice: 0.8012, decode.d4.loss_cls: 0.3238, decode.d4.loss_mask: 0.5352, decode.d4.loss_dice: 0.8027, decode.d5.loss_cls: 0.3245, decode.d5.loss_mask: 0.5340, decode.d5.loss_dice: 0.7985, decode.d6.loss_cls: 0.3165, decode.d6.loss_mask: 0.5340, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3124, decode.d7.loss_mask: 0.5320, decode.d7.loss_dice: 0.7905, decode.d8.loss_cls: 0.3129, decode.d8.loss_mask: 0.5331, decode.d8.loss_dice: 0.7912, loss: 17.9265 2022-05-01 13:29:16,237 - mmseg - INFO - Iter [40200/80000] lr: 7.143e-07, eta: 21:31:04, time: 1.903, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3058, decode.loss_mask: 0.5168, decode.loss_dice: 0.7700, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8768, decode.d1.loss_cls: 0.3842, decode.d1.loss_mask: 0.5465, decode.d1.loss_dice: 0.8307, decode.d2.loss_cls: 0.3378, decode.d2.loss_mask: 0.5321, decode.d2.loss_dice: 0.8007, decode.d3.loss_cls: 0.3251, decode.d3.loss_mask: 0.5230, decode.d3.loss_dice: 0.7842, decode.d4.loss_cls: 0.3140, decode.d4.loss_mask: 0.5195, decode.d4.loss_dice: 0.7819, decode.d5.loss_cls: 0.3104, decode.d5.loss_mask: 0.5182, decode.d5.loss_dice: 0.7798, decode.d6.loss_cls: 0.3110, decode.d6.loss_mask: 0.5139, decode.d6.loss_dice: 0.7786, decode.d7.loss_cls: 0.3115, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7727, decode.d8.loss_cls: 0.3030, decode.d8.loss_mask: 0.5154, decode.d8.loss_dice: 0.7730, loss: 17.4297 2022-05-01 13:30:52,073 - mmseg - INFO - Iter [40250/80000] lr: 7.134e-07, eta: 21:29:25, time: 1.917, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3134, decode.loss_mask: 0.5336, decode.loss_dice: 0.7731, decode.d0.loss_cls: 1.3609, decode.d0.loss_mask: 0.5809, decode.d0.loss_dice: 0.8865, decode.d1.loss_cls: 0.4114, decode.d1.loss_mask: 0.5558, decode.d1.loss_dice: 0.8337, decode.d2.loss_cls: 0.3653, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8017, decode.d3.loss_cls: 0.3411, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3315, decode.d4.loss_mask: 0.5365, decode.d4.loss_dice: 0.7853, decode.d5.loss_cls: 0.3253, decode.d5.loss_mask: 0.5379, decode.d5.loss_dice: 0.7846, decode.d6.loss_cls: 0.3184, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.7759, decode.d7.loss_cls: 0.3135, decode.d7.loss_mask: 0.5366, decode.d7.loss_dice: 0.7777, decode.d8.loss_cls: 0.3133, decode.d8.loss_mask: 0.5340, decode.d8.loss_dice: 0.7735, loss: 17.8109 2022-05-01 13:32:27,256 - mmseg - INFO - Iter [40300/80000] lr: 7.125e-07, eta: 21:27:46, time: 1.904, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3139, decode.loss_mask: 0.5521, decode.loss_dice: 0.7838, decode.d0.loss_cls: 1.3118, decode.d0.loss_mask: 0.6059, decode.d0.loss_dice: 0.8831, decode.d1.loss_cls: 0.3936, decode.d1.loss_mask: 0.5818, decode.d1.loss_dice: 0.8418, decode.d2.loss_cls: 0.3508, decode.d2.loss_mask: 0.5655, decode.d2.loss_dice: 0.8034, decode.d3.loss_cls: 0.3377, decode.d3.loss_mask: 0.5548, decode.d3.loss_dice: 0.7918, decode.d4.loss_cls: 0.3299, decode.d4.loss_mask: 0.5567, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3217, decode.d5.loss_mask: 0.5588, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.3198, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3170, decode.d7.loss_mask: 0.5526, decode.d7.loss_dice: 0.7894, decode.d8.loss_cls: 0.3137, decode.d8.loss_mask: 0.5502, decode.d8.loss_dice: 0.7842, loss: 17.9906 2022-05-01 13:34:01,692 - mmseg - INFO - Iter [40350/80000] lr: 7.116e-07, eta: 21:26:06, time: 1.888, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3124, decode.loss_mask: 0.5193, decode.loss_dice: 0.7631, decode.d0.loss_cls: 1.3580, decode.d0.loss_mask: 0.5613, decode.d0.loss_dice: 0.8695, decode.d1.loss_cls: 0.4101, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8252, decode.d2.loss_cls: 0.3599, decode.d2.loss_mask: 0.5329, decode.d2.loss_dice: 0.7969, decode.d3.loss_cls: 0.3382, decode.d3.loss_mask: 0.5252, decode.d3.loss_dice: 0.7744, decode.d4.loss_cls: 0.3330, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.7724, decode.d5.loss_cls: 0.3227, decode.d5.loss_mask: 0.5221, decode.d5.loss_dice: 0.7720, decode.d6.loss_cls: 0.3207, decode.d6.loss_mask: 0.5198, decode.d6.loss_dice: 0.7669, decode.d7.loss_cls: 0.3226, decode.d7.loss_mask: 0.5187, decode.d7.loss_dice: 0.7604, decode.d8.loss_cls: 0.3161, decode.d8.loss_mask: 0.5189, decode.d8.loss_dice: 0.7628, loss: 17.5468 2022-05-01 13:35:36,602 - mmseg - INFO - Iter [40400/80000] lr: 7.107e-07, eta: 21:24:26, time: 1.899, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3136, decode.loss_mask: 0.5158, decode.loss_dice: 0.7632, decode.d0.loss_cls: 1.3255, decode.d0.loss_mask: 0.5650, decode.d0.loss_dice: 0.8755, decode.d1.loss_cls: 0.4045, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.8208, decode.d2.loss_cls: 0.3567, decode.d2.loss_mask: 0.5280, decode.d2.loss_dice: 0.7941, decode.d3.loss_cls: 0.3356, decode.d3.loss_mask: 0.5270, decode.d3.loss_dice: 0.7763, decode.d4.loss_cls: 0.3266, decode.d4.loss_mask: 0.5240, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.3227, decode.d5.loss_mask: 0.5213, decode.d5.loss_dice: 0.7742, decode.d6.loss_cls: 0.3214, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7686, decode.d7.loss_cls: 0.3157, decode.d7.loss_mask: 0.5168, decode.d7.loss_dice: 0.7655, decode.d8.loss_cls: 0.3141, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7662, loss: 17.4922 2022-05-01 13:37:14,438 - mmseg - INFO - Iter [40450/80000] lr: 7.098e-07, eta: 21:22:49, time: 1.957, data_time: 0.064, memory: 64716, decode.loss_cls: 0.3281, decode.loss_mask: 0.5143, decode.loss_dice: 0.7744, decode.d0.loss_cls: 1.4088, decode.d0.loss_mask: 0.5659, decode.d0.loss_dice: 0.8850, decode.d1.loss_cls: 0.4259, decode.d1.loss_mask: 0.5405, decode.d1.loss_dice: 0.8375, decode.d2.loss_cls: 0.3717, decode.d2.loss_mask: 0.5251, decode.d2.loss_dice: 0.8051, decode.d3.loss_cls: 0.3509, decode.d3.loss_mask: 0.5152, decode.d3.loss_dice: 0.7897, decode.d4.loss_cls: 0.3440, decode.d4.loss_mask: 0.5160, decode.d4.loss_dice: 0.7871, decode.d5.loss_cls: 0.3390, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7888, decode.d6.loss_cls: 0.3325, decode.d6.loss_mask: 0.5127, decode.d6.loss_dice: 0.7769, decode.d7.loss_cls: 0.3284, decode.d7.loss_mask: 0.5124, decode.d7.loss_dice: 0.7799, decode.d8.loss_cls: 0.3271, decode.d8.loss_mask: 0.5118, decode.d8.loss_dice: 0.7736, loss: 17.7811 2022-05-01 13:38:49,017 - mmseg - INFO - Iter [40500/80000] lr: 7.089e-07, eta: 21:21:09, time: 1.890, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3218, decode.loss_mask: 0.5296, decode.loss_dice: 0.7817, decode.d0.loss_cls: 1.3487, decode.d0.loss_mask: 0.5737, decode.d0.loss_dice: 0.8967, decode.d1.loss_cls: 0.4166, decode.d1.loss_mask: 0.5500, decode.d1.loss_dice: 0.8435, decode.d2.loss_cls: 0.3686, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.8106, decode.d3.loss_cls: 0.3484, decode.d3.loss_mask: 0.5345, decode.d3.loss_dice: 0.7978, decode.d4.loss_cls: 0.3379, decode.d4.loss_mask: 0.5348, decode.d4.loss_dice: 0.7968, decode.d5.loss_cls: 0.3341, decode.d5.loss_mask: 0.5304, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.3285, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7810, decode.d7.loss_cls: 0.3235, decode.d7.loss_mask: 0.5286, decode.d7.loss_dice: 0.7853, decode.d8.loss_cls: 0.3215, decode.d8.loss_mask: 0.5308, decode.d8.loss_dice: 0.7876, loss: 17.9002 2022-05-01 13:40:24,477 - mmseg - INFO - Iter [40550/80000] lr: 7.080e-07, eta: 21:19:30, time: 1.909, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3167, decode.loss_mask: 0.5279, decode.loss_dice: 0.7743, decode.d0.loss_cls: 1.3362, decode.d0.loss_mask: 0.5735, decode.d0.loss_dice: 0.8769, decode.d1.loss_cls: 0.4072, decode.d1.loss_mask: 0.5511, decode.d1.loss_dice: 0.8202, decode.d2.loss_cls: 0.3547, decode.d2.loss_mask: 0.5399, decode.d2.loss_dice: 0.7978, decode.d3.loss_cls: 0.3391, decode.d3.loss_mask: 0.5327, decode.d3.loss_dice: 0.7787, decode.d4.loss_cls: 0.3345, decode.d4.loss_mask: 0.5313, decode.d4.loss_dice: 0.7771, decode.d5.loss_cls: 0.3307, decode.d5.loss_mask: 0.5317, decode.d5.loss_dice: 0.7736, decode.d6.loss_cls: 0.3230, decode.d6.loss_mask: 0.5273, decode.d6.loss_dice: 0.7666, decode.d7.loss_cls: 0.3235, decode.d7.loss_mask: 0.5265, decode.d7.loss_dice: 0.7673, decode.d8.loss_cls: 0.3185, decode.d8.loss_mask: 0.5265, decode.d8.loss_dice: 0.7702, loss: 17.6553 2022-05-01 13:41:58,115 - mmseg - INFO - Iter [40600/80000] lr: 7.071e-07, eta: 21:17:49, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3067, decode.loss_mask: 0.5035, decode.loss_dice: 0.7563, decode.d0.loss_cls: 1.3170, decode.d0.loss_mask: 0.5524, decode.d0.loss_dice: 0.8615, decode.d1.loss_cls: 0.3876, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.8174, decode.d2.loss_cls: 0.3459, decode.d2.loss_mask: 0.5153, decode.d2.loss_dice: 0.7836, decode.d3.loss_cls: 0.3201, decode.d3.loss_mask: 0.5088, decode.d3.loss_dice: 0.7733, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5052, decode.d4.loss_dice: 0.7702, decode.d5.loss_cls: 0.3155, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7628, decode.d6.loss_cls: 0.3104, decode.d6.loss_mask: 0.5026, decode.d6.loss_dice: 0.7549, decode.d7.loss_cls: 0.3087, decode.d7.loss_mask: 0.5014, decode.d7.loss_dice: 0.7533, decode.d8.loss_cls: 0.3101, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7554, loss: 17.1481 2022-05-01 13:43:33,669 - mmseg - INFO - Iter [40650/80000] lr: 7.063e-07, eta: 21:16:10, time: 1.911, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3011, decode.loss_mask: 0.5422, decode.loss_dice: 0.7732, decode.d0.loss_cls: 1.2981, decode.d0.loss_mask: 0.5913, decode.d0.loss_dice: 0.8769, decode.d1.loss_cls: 0.3768, decode.d1.loss_mask: 0.5664, decode.d1.loss_dice: 0.8282, decode.d2.loss_cls: 0.3497, decode.d2.loss_mask: 0.5515, decode.d2.loss_dice: 0.7968, decode.d3.loss_cls: 0.3253, decode.d3.loss_mask: 0.5481, decode.d3.loss_dice: 0.7849, decode.d4.loss_cls: 0.3158, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.3117, decode.d5.loss_mask: 0.5448, decode.d5.loss_dice: 0.7793, decode.d6.loss_cls: 0.3026, decode.d6.loss_mask: 0.5433, decode.d6.loss_dice: 0.7710, decode.d7.loss_cls: 0.3054, decode.d7.loss_mask: 0.5427, decode.d7.loss_dice: 0.7702, decode.d8.loss_cls: 0.3048, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.7732, loss: 17.6447 2022-05-01 13:45:08,086 - mmseg - INFO - Iter [40700/80000] lr: 7.054e-07, eta: 21:14:30, time: 1.889, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3155, decode.loss_mask: 0.5276, decode.loss_dice: 0.7703, decode.d0.loss_cls: 1.3698, decode.d0.loss_mask: 0.5751, decode.d0.loss_dice: 0.8794, decode.d1.loss_cls: 0.4076, decode.d1.loss_mask: 0.5528, decode.d1.loss_dice: 0.8303, decode.d2.loss_cls: 0.3625, decode.d2.loss_mask: 0.5377, decode.d2.loss_dice: 0.7967, decode.d3.loss_cls: 0.3434, decode.d3.loss_mask: 0.5281, decode.d3.loss_dice: 0.7847, decode.d4.loss_cls: 0.3325, decode.d4.loss_mask: 0.5311, decode.d4.loss_dice: 0.7837, decode.d5.loss_cls: 0.3282, decode.d5.loss_mask: 0.5299, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.3199, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7724, decode.d7.loss_cls: 0.3205, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7717, decode.d8.loss_cls: 0.3191, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7765, loss: 17.7291 2022-05-01 13:46:44,233 - mmseg - INFO - Iter [40750/80000] lr: 7.045e-07, eta: 21:12:52, time: 1.920, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2936, decode.loss_mask: 0.5071, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.3275, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8438, decode.d1.loss_cls: 0.3766, decode.d1.loss_mask: 0.5305, decode.d1.loss_dice: 0.7983, decode.d2.loss_cls: 0.3358, decode.d2.loss_mask: 0.5162, decode.d2.loss_dice: 0.7719, decode.d3.loss_cls: 0.3175, decode.d3.loss_mask: 0.5111, decode.d3.loss_dice: 0.7608, decode.d4.loss_cls: 0.3070, decode.d4.loss_mask: 0.5096, decode.d4.loss_dice: 0.7631, decode.d5.loss_cls: 0.3076, decode.d5.loss_mask: 0.5061, decode.d5.loss_dice: 0.7536, decode.d6.loss_cls: 0.3028, decode.d6.loss_mask: 0.5049, decode.d6.loss_dice: 0.7545, decode.d7.loss_cls: 0.3016, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2953, decode.d8.loss_mask: 0.5070, decode.d8.loss_dice: 0.7532, loss: 17.0243 2022-05-01 13:48:18,790 - mmseg - INFO - Iter [40800/80000] lr: 7.036e-07, eta: 21:11:12, time: 1.893, data_time: 0.019, memory: 64716, decode.loss_cls: 0.3082, decode.loss_mask: 0.5089, decode.loss_dice: 0.7683, decode.d0.loss_cls: 1.3617, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8785, decode.d1.loss_cls: 0.4032, decode.d1.loss_mask: 0.5306, decode.d1.loss_dice: 0.8316, decode.d2.loss_cls: 0.3545, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7954, decode.d3.loss_cls: 0.3267, decode.d3.loss_mask: 0.5138, decode.d3.loss_dice: 0.7831, decode.d4.loss_cls: 0.3180, decode.d4.loss_mask: 0.5135, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.3139, decode.d5.loss_mask: 0.5134, decode.d5.loss_dice: 0.7780, decode.d6.loss_cls: 0.3109, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.3067, decode.d7.loss_mask: 0.5056, decode.d7.loss_dice: 0.7658, decode.d8.loss_cls: 0.3053, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7695, loss: 17.3995 2022-05-01 13:49:53,665 - mmseg - INFO - Iter [40850/80000] lr: 7.027e-07, eta: 21:09:32, time: 1.897, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3156, decode.loss_mask: 0.5066, decode.loss_dice: 0.7818, decode.d0.loss_cls: 1.3557, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8844, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8409, decode.d2.loss_cls: 0.3578, decode.d2.loss_mask: 0.5203, decode.d2.loss_dice: 0.8106, decode.d3.loss_cls: 0.3384, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7965, decode.d4.loss_cls: 0.3267, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7933, decode.d5.loss_cls: 0.3276, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7923, decode.d6.loss_cls: 0.3244, decode.d6.loss_mask: 0.5066, decode.d6.loss_dice: 0.7803, decode.d7.loss_cls: 0.3202, decode.d7.loss_mask: 0.5057, decode.d7.loss_dice: 0.7834, decode.d8.loss_cls: 0.3134, decode.d8.loss_mask: 0.5083, decode.d8.loss_dice: 0.7831, loss: 17.5999 2022-05-01 13:51:28,506 - mmseg - INFO - Iter [40900/80000] lr: 7.018e-07, eta: 21:07:53, time: 1.898, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3129, decode.loss_mask: 0.5434, decode.loss_dice: 0.7800, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.5864, decode.d0.loss_dice: 0.8898, decode.d1.loss_cls: 0.3963, decode.d1.loss_mask: 0.5713, decode.d1.loss_dice: 0.8381, decode.d2.loss_cls: 0.3497, decode.d2.loss_mask: 0.5565, decode.d2.loss_dice: 0.8127, decode.d3.loss_cls: 0.3351, decode.d3.loss_mask: 0.5479, decode.d3.loss_dice: 0.7971, decode.d4.loss_cls: 0.3263, decode.d4.loss_mask: 0.5500, decode.d4.loss_dice: 0.7947, decode.d5.loss_cls: 0.3222, decode.d5.loss_mask: 0.5489, decode.d5.loss_dice: 0.7888, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.7807, decode.d7.loss_cls: 0.3131, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7827, decode.d8.loss_cls: 0.3105, decode.d8.loss_mask: 0.5445, decode.d8.loss_dice: 0.7873, loss: 17.8730 2022-05-01 13:53:04,275 - mmseg - INFO - Iter [40950/80000] lr: 7.009e-07, eta: 21:06:14, time: 1.915, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2943, decode.loss_mask: 0.5306, decode.loss_dice: 0.7830, decode.d0.loss_cls: 1.3523, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.8777, decode.d1.loss_cls: 0.3744, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8356, decode.d2.loss_cls: 0.3406, decode.d2.loss_mask: 0.5373, decode.d2.loss_dice: 0.8053, decode.d3.loss_cls: 0.3149, decode.d3.loss_mask: 0.5359, decode.d3.loss_dice: 0.7921, decode.d4.loss_cls: 0.3071, decode.d4.loss_mask: 0.5319, decode.d4.loss_dice: 0.7906, decode.d5.loss_cls: 0.3051, decode.d5.loss_mask: 0.5327, decode.d5.loss_dice: 0.7865, decode.d6.loss_cls: 0.2988, decode.d6.loss_mask: 0.5320, decode.d6.loss_dice: 0.7867, decode.d7.loss_cls: 0.2974, decode.d7.loss_mask: 0.5303, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.2910, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.7826, loss: 17.5883 2022-05-01 13:54:39,584 - mmseg - INFO - Saving checkpoint at 41000 iterations 2022-05-01 13:55:11,994 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 13:55:12,009 - mmseg - INFO - Iter [41000/80000] lr: 7.000e-07, eta: 21:05:05, time: 2.552, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2883, decode.loss_mask: 0.5109, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.3103, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8725, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5346, decode.d1.loss_dice: 0.8235, decode.d2.loss_cls: 0.3327, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.7948, decode.d3.loss_cls: 0.3108, decode.d3.loss_mask: 0.5168, decode.d3.loss_dice: 0.7757, decode.d4.loss_cls: 0.3056, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7725, decode.d5.loss_cls: 0.3001, decode.d5.loss_mask: 0.5117, decode.d5.loss_dice: 0.7691, decode.d6.loss_cls: 0.2994, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7654, decode.d7.loss_cls: 0.2949, decode.d7.loss_mask: 0.5080, decode.d7.loss_dice: 0.7610, decode.d8.loss_cls: 0.2883, decode.d8.loss_mask: 0.5105, decode.d8.loss_dice: 0.7654, loss: 17.1528 2022-05-01 13:56:49,009 - mmseg - INFO - Iter [41050/80000] lr: 6.991e-07, eta: 21:03:28, time: 1.943, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2972, decode.loss_mask: 0.5140, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.3496, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8709, decode.d1.loss_cls: 0.3918, decode.d1.loss_mask: 0.5304, decode.d1.loss_dice: 0.8229, decode.d2.loss_cls: 0.3403, decode.d2.loss_mask: 0.5225, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3230, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7743, decode.d4.loss_cls: 0.3137, decode.d4.loss_mask: 0.5141, decode.d4.loss_dice: 0.7773, decode.d5.loss_cls: 0.3088, decode.d5.loss_mask: 0.5145, decode.d5.loss_dice: 0.7703, decode.d6.loss_cls: 0.3062, decode.d6.loss_mask: 0.5102, decode.d6.loss_dice: 0.7669, decode.d7.loss_cls: 0.3031, decode.d7.loss_mask: 0.5130, decode.d7.loss_dice: 0.7687, decode.d8.loss_cls: 0.3028, decode.d8.loss_mask: 0.5128, decode.d8.loss_dice: 0.7677, loss: 17.3111 2022-05-01 13:58:23,981 - mmseg - INFO - Iter [41100/80000] lr: 6.982e-07, eta: 21:01:48, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3162, decode.loss_mask: 0.5229, decode.loss_dice: 0.7660, decode.d0.loss_cls: 1.3540, decode.d0.loss_mask: 0.5716, decode.d0.loss_dice: 0.8749, decode.d1.loss_cls: 0.3975, decode.d1.loss_mask: 0.5522, decode.d1.loss_dice: 0.8202, decode.d2.loss_cls: 0.3562, decode.d2.loss_mask: 0.5351, decode.d2.loss_dice: 0.7861, decode.d3.loss_cls: 0.3369, decode.d3.loss_mask: 0.5299, decode.d3.loss_dice: 0.7727, decode.d4.loss_cls: 0.3288, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7734, decode.d5.loss_cls: 0.3274, decode.d5.loss_mask: 0.5264, decode.d5.loss_dice: 0.7666, decode.d6.loss_cls: 0.3188, decode.d6.loss_mask: 0.5238, decode.d6.loss_dice: 0.7660, decode.d7.loss_cls: 0.3183, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7596, decode.d8.loss_cls: 0.3173, decode.d8.loss_mask: 0.5231, decode.d8.loss_dice: 0.7579, loss: 17.5528 2022-05-01 13:59:57,431 - mmseg - INFO - Iter [41150/80000] lr: 6.973e-07, eta: 21:00:07, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3078, decode.loss_mask: 0.5402, decode.loss_dice: 0.7660, decode.d0.loss_cls: 1.3107, decode.d0.loss_mask: 0.5927, decode.d0.loss_dice: 0.8663, decode.d1.loss_cls: 0.3936, decode.d1.loss_mask: 0.5641, decode.d1.loss_dice: 0.8213, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5560, decode.d2.loss_dice: 0.7874, decode.d3.loss_cls: 0.3334, decode.d3.loss_mask: 0.5477, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.3208, decode.d4.loss_mask: 0.5465, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.3163, decode.d5.loss_mask: 0.5473, decode.d5.loss_dice: 0.7775, decode.d6.loss_cls: 0.3095, decode.d6.loss_mask: 0.5432, decode.d6.loss_dice: 0.7680, decode.d7.loss_cls: 0.3108, decode.d7.loss_mask: 0.5417, decode.d7.loss_dice: 0.7692, decode.d8.loss_cls: 0.3091, decode.d8.loss_mask: 0.5415, decode.d8.loss_dice: 0.7649, loss: 17.6583 2022-05-01 14:01:32,128 - mmseg - INFO - Iter [41200/80000] lr: 6.964e-07, eta: 20:58:28, time: 1.894, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2906, decode.loss_mask: 0.5172, decode.loss_dice: 0.7681, decode.d0.loss_cls: 1.3315, decode.d0.loss_mask: 0.5561, decode.d0.loss_dice: 0.8615, decode.d1.loss_cls: 0.3846, decode.d1.loss_mask: 0.5397, decode.d1.loss_dice: 0.8147, decode.d2.loss_cls: 0.3321, decode.d2.loss_mask: 0.5314, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.3060, decode.d3.loss_mask: 0.5226, decode.d3.loss_dice: 0.7779, decode.d4.loss_cls: 0.3001, decode.d4.loss_mask: 0.5216, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.2988, decode.d5.loss_mask: 0.5211, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2933, decode.d6.loss_mask: 0.5181, decode.d6.loss_dice: 0.7679, decode.d7.loss_cls: 0.2893, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7701, decode.d8.loss_cls: 0.2923, decode.d8.loss_mask: 0.5187, decode.d8.loss_dice: 0.7664, loss: 17.2509 2022-05-01 14:03:07,107 - mmseg - INFO - Iter [41250/80000] lr: 6.955e-07, eta: 20:56:48, time: 1.899, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3277, decode.loss_mask: 0.5095, decode.loss_dice: 0.7609, decode.d0.loss_cls: 1.3324, decode.d0.loss_mask: 0.5603, decode.d0.loss_dice: 0.8724, decode.d1.loss_cls: 0.4040, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8251, decode.d2.loss_cls: 0.3600, decode.d2.loss_mask: 0.5210, decode.d2.loss_dice: 0.7931, decode.d3.loss_cls: 0.3376, decode.d3.loss_mask: 0.5162, decode.d3.loss_dice: 0.7726, decode.d4.loss_cls: 0.3349, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7726, decode.d5.loss_cls: 0.3295, decode.d5.loss_mask: 0.5152, decode.d5.loss_dice: 0.7743, decode.d6.loss_cls: 0.3235, decode.d6.loss_mask: 0.5111, decode.d6.loss_dice: 0.7653, decode.d7.loss_cls: 0.3237, decode.d7.loss_mask: 0.5109, decode.d7.loss_dice: 0.7649, decode.d8.loss_cls: 0.3238, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7632, loss: 17.4661 2022-05-01 14:04:42,194 - mmseg - INFO - Iter [41300/80000] lr: 6.946e-07, eta: 20:55:09, time: 1.902, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2940, decode.loss_mask: 0.5425, decode.loss_dice: 0.7671, decode.d0.loss_cls: 1.3025, decode.d0.loss_mask: 0.5946, decode.d0.loss_dice: 0.8722, decode.d1.loss_cls: 0.3893, decode.d1.loss_mask: 0.5698, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3408, decode.d2.loss_mask: 0.5583, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3150, decode.d3.loss_mask: 0.5498, decode.d3.loss_dice: 0.7813, decode.d4.loss_cls: 0.3062, decode.d4.loss_mask: 0.5468, decode.d4.loss_dice: 0.7783, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5473, decode.d5.loss_dice: 0.7813, decode.d6.loss_cls: 0.2975, decode.d6.loss_mask: 0.5437, decode.d6.loss_dice: 0.7699, decode.d7.loss_cls: 0.2965, decode.d7.loss_mask: 0.5440, decode.d7.loss_dice: 0.7727, decode.d8.loss_cls: 0.2937, decode.d8.loss_mask: 0.5427, decode.d8.loss_dice: 0.7665, loss: 17.5872 2022-05-01 14:06:18,104 - mmseg - INFO - Iter [41350/80000] lr: 6.937e-07, eta: 20:53:30, time: 1.919, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3007, decode.loss_mask: 0.5182, decode.loss_dice: 0.7713, decode.d0.loss_cls: 1.3468, decode.d0.loss_mask: 0.5706, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3983, decode.d1.loss_mask: 0.5409, decode.d1.loss_dice: 0.8180, decode.d2.loss_cls: 0.3407, decode.d2.loss_mask: 0.5303, decode.d2.loss_dice: 0.7887, decode.d3.loss_cls: 0.3238, decode.d3.loss_mask: 0.5246, decode.d3.loss_dice: 0.7740, decode.d4.loss_cls: 0.3120, decode.d4.loss_mask: 0.5220, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.3095, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7748, decode.d6.loss_cls: 0.3016, decode.d6.loss_mask: 0.5197, decode.d6.loss_dice: 0.7671, decode.d7.loss_cls: 0.3014, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7681, decode.d8.loss_cls: 0.3008, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7716, loss: 17.3961 2022-05-01 14:07:52,271 - mmseg - INFO - Iter [41400/80000] lr: 6.928e-07, eta: 20:51:50, time: 1.884, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3185, decode.loss_mask: 0.5536, decode.loss_dice: 0.7907, decode.d0.loss_cls: 1.3460, decode.d0.loss_mask: 0.6049, decode.d0.loss_dice: 0.9091, decode.d1.loss_cls: 0.4052, decode.d1.loss_mask: 0.5748, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3589, decode.d2.loss_mask: 0.5628, decode.d2.loss_dice: 0.8190, decode.d3.loss_cls: 0.3409, decode.d3.loss_mask: 0.5578, decode.d3.loss_dice: 0.8011, decode.d4.loss_cls: 0.3306, decode.d4.loss_mask: 0.5584, decode.d4.loss_dice: 0.7953, decode.d5.loss_cls: 0.3267, decode.d5.loss_mask: 0.5551, decode.d5.loss_dice: 0.7939, decode.d6.loss_cls: 0.3238, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.7920, decode.d7.loss_cls: 0.3219, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.7899, decode.d8.loss_cls: 0.3162, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.7972, loss: 18.1559 2022-05-01 14:09:27,525 - mmseg - INFO - Iter [41450/80000] lr: 6.919e-07, eta: 20:50:11, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3066, decode.loss_mask: 0.5344, decode.loss_dice: 0.7622, decode.d0.loss_cls: 1.3190, decode.d0.loss_mask: 0.5852, decode.d0.loss_dice: 0.8732, decode.d1.loss_cls: 0.3937, decode.d1.loss_mask: 0.5651, decode.d1.loss_dice: 0.8187, decode.d2.loss_cls: 0.3559, decode.d2.loss_mask: 0.5443, decode.d2.loss_dice: 0.7833, decode.d3.loss_cls: 0.3299, decode.d3.loss_mask: 0.5378, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.3256, decode.d4.loss_mask: 0.5357, decode.d4.loss_dice: 0.7670, decode.d5.loss_cls: 0.3146, decode.d5.loss_mask: 0.5394, decode.d5.loss_dice: 0.7670, decode.d6.loss_cls: 0.3130, decode.d6.loss_mask: 0.5344, decode.d6.loss_dice: 0.7617, decode.d7.loss_cls: 0.3134, decode.d7.loss_mask: 0.5341, decode.d7.loss_dice: 0.7581, decode.d8.loss_cls: 0.3070, decode.d8.loss_mask: 0.5350, decode.d8.loss_dice: 0.7605, loss: 17.5497 2022-05-01 14:11:01,693 - mmseg - INFO - Iter [41500/80000] lr: 6.910e-07, eta: 20:48:31, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3107, decode.loss_mask: 0.5429, decode.loss_dice: 0.7903, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.5935, decode.d0.loss_dice: 0.8902, decode.d1.loss_cls: 0.4044, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8457, decode.d2.loss_cls: 0.3606, decode.d2.loss_mask: 0.5523, decode.d2.loss_dice: 0.8111, decode.d3.loss_cls: 0.3342, decode.d3.loss_mask: 0.5482, decode.d3.loss_dice: 0.8029, decode.d4.loss_cls: 0.3245, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.8011, decode.d5.loss_cls: 0.3182, decode.d5.loss_mask: 0.5447, decode.d5.loss_dice: 0.7935, decode.d6.loss_cls: 0.3139, decode.d6.loss_mask: 0.5444, decode.d6.loss_dice: 0.7886, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5435, decode.d7.loss_dice: 0.7930, decode.d8.loss_cls: 0.3092, decode.d8.loss_mask: 0.5425, decode.d8.loss_dice: 0.7950, loss: 17.9404 2022-05-01 14:12:35,787 - mmseg - INFO - Iter [41550/80000] lr: 6.901e-07, eta: 20:46:50, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3106, decode.loss_mask: 0.5146, decode.loss_dice: 0.7583, decode.d0.loss_cls: 1.3528, decode.d0.loss_mask: 0.5530, decode.d0.loss_dice: 0.8589, decode.d1.loss_cls: 0.3949, decode.d1.loss_mask: 0.5302, decode.d1.loss_dice: 0.8112, decode.d2.loss_cls: 0.3549, decode.d2.loss_mask: 0.5228, decode.d2.loss_dice: 0.7876, decode.d3.loss_cls: 0.3389, decode.d3.loss_mask: 0.5142, decode.d3.loss_dice: 0.7641, decode.d4.loss_cls: 0.3232, decode.d4.loss_mask: 0.5160, decode.d4.loss_dice: 0.7668, decode.d5.loss_cls: 0.3251, decode.d5.loss_mask: 0.5132, decode.d5.loss_dice: 0.7603, decode.d6.loss_cls: 0.3143, decode.d6.loss_mask: 0.5116, decode.d6.loss_dice: 0.7580, decode.d7.loss_cls: 0.3118, decode.d7.loss_mask: 0.5086, decode.d7.loss_dice: 0.7552, decode.d8.loss_cls: 0.3122, decode.d8.loss_mask: 0.5122, decode.d8.loss_dice: 0.7529, loss: 17.3085 2022-05-01 14:14:10,804 - mmseg - INFO - Iter [41600/80000] lr: 6.892e-07, eta: 20:45:11, time: 1.902, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3271, decode.loss_mask: 0.5403, decode.loss_dice: 0.7932, decode.d0.loss_cls: 1.3667, decode.d0.loss_mask: 0.5859, decode.d0.loss_dice: 0.9031, decode.d1.loss_cls: 0.4137, decode.d1.loss_mask: 0.5654, decode.d1.loss_dice: 0.8558, decode.d2.loss_cls: 0.3742, decode.d2.loss_mask: 0.5539, decode.d2.loss_dice: 0.8218, decode.d3.loss_cls: 0.3498, decode.d3.loss_mask: 0.5459, decode.d3.loss_dice: 0.8069, decode.d4.loss_cls: 0.3418, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3399, decode.d5.loss_mask: 0.5422, decode.d5.loss_dice: 0.7976, decode.d6.loss_cls: 0.3287, decode.d6.loss_mask: 0.5412, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.3288, decode.d7.loss_mask: 0.5406, decode.d7.loss_dice: 0.7934, decode.d8.loss_cls: 0.3300, decode.d8.loss_mask: 0.5404, decode.d8.loss_dice: 0.7933, loss: 18.1666 2022-05-01 14:15:44,595 - mmseg - INFO - Iter [41650/80000] lr: 6.883e-07, eta: 20:43:30, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2885, decode.loss_mask: 0.5217, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.2998, decode.d0.loss_mask: 0.5731, decode.d0.loss_dice: 0.8645, decode.d1.loss_cls: 0.3640, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8108, decode.d2.loss_cls: 0.3286, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.7855, decode.d3.loss_cls: 0.3055, decode.d3.loss_mask: 0.5307, decode.d3.loss_dice: 0.7734, decode.d4.loss_cls: 0.3020, decode.d4.loss_mask: 0.5286, decode.d4.loss_dice: 0.7729, decode.d5.loss_cls: 0.3011, decode.d5.loss_mask: 0.5260, decode.d5.loss_dice: 0.7647, decode.d6.loss_cls: 0.2955, decode.d6.loss_mask: 0.5218, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.2885, decode.d7.loss_mask: 0.5216, decode.d7.loss_dice: 0.7612, decode.d8.loss_cls: 0.2874, decode.d8.loss_mask: 0.5225, decode.d8.loss_dice: 0.7565, loss: 17.2021 2022-05-01 14:17:18,346 - mmseg - INFO - Iter [41700/80000] lr: 6.874e-07, eta: 20:41:50, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3204, decode.loss_mask: 0.5166, decode.loss_dice: 0.7617, decode.d0.loss_cls: 1.3515, decode.d0.loss_mask: 0.5554, decode.d0.loss_dice: 0.8674, decode.d1.loss_cls: 0.4003, decode.d1.loss_mask: 0.5378, decode.d1.loss_dice: 0.8207, decode.d2.loss_cls: 0.3571, decode.d2.loss_mask: 0.5291, decode.d2.loss_dice: 0.7868, decode.d3.loss_cls: 0.3375, decode.d3.loss_mask: 0.5216, decode.d3.loss_dice: 0.7737, decode.d4.loss_cls: 0.3269, decode.d4.loss_mask: 0.5236, decode.d4.loss_dice: 0.7733, decode.d5.loss_cls: 0.3278, decode.d5.loss_mask: 0.5190, decode.d5.loss_dice: 0.7725, decode.d6.loss_cls: 0.3229, decode.d6.loss_mask: 0.5176, decode.d6.loss_dice: 0.7651, decode.d7.loss_cls: 0.3190, decode.d7.loss_mask: 0.5185, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.3159, decode.d8.loss_mask: 0.5172, decode.d8.loss_dice: 0.7652, loss: 17.4899 2022-05-01 14:18:56,640 - mmseg - INFO - Iter [41750/80000] lr: 6.865e-07, eta: 20:40:14, time: 1.966, data_time: 0.068, memory: 64716, decode.loss_cls: 0.3090, decode.loss_mask: 0.5370, decode.loss_dice: 0.7796, decode.d0.loss_cls: 1.3570, decode.d0.loss_mask: 0.5900, decode.d0.loss_dice: 0.9008, decode.d1.loss_cls: 0.4003, decode.d1.loss_mask: 0.5633, decode.d1.loss_dice: 0.8433, decode.d2.loss_cls: 0.3554, decode.d2.loss_mask: 0.5528, decode.d2.loss_dice: 0.8112, decode.d3.loss_cls: 0.3336, decode.d3.loss_mask: 0.5473, decode.d3.loss_dice: 0.7937, decode.d4.loss_cls: 0.3219, decode.d4.loss_mask: 0.5460, decode.d4.loss_dice: 0.7904, decode.d5.loss_cls: 0.3152, decode.d5.loss_mask: 0.5393, decode.d5.loss_dice: 0.7883, decode.d6.loss_cls: 0.3146, decode.d6.loss_mask: 0.5393, decode.d6.loss_dice: 0.7784, decode.d7.loss_cls: 0.3087, decode.d7.loss_mask: 0.5382, decode.d7.loss_dice: 0.7780, decode.d8.loss_cls: 0.3127, decode.d8.loss_mask: 0.5378, decode.d8.loss_dice: 0.7794, loss: 17.8626 2022-05-01 14:20:32,161 - mmseg - INFO - Iter [41800/80000] lr: 6.856e-07, eta: 20:38:35, time: 1.909, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3058, decode.loss_mask: 0.5198, decode.loss_dice: 0.7672, decode.d0.loss_cls: 1.3260, decode.d0.loss_mask: 0.5631, decode.d0.loss_dice: 0.8736, decode.d1.loss_cls: 0.3964, decode.d1.loss_mask: 0.5468, decode.d1.loss_dice: 0.8187, decode.d2.loss_cls: 0.3470, decode.d2.loss_mask: 0.5324, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3276, decode.d3.loss_mask: 0.5227, decode.d3.loss_dice: 0.7789, decode.d4.loss_cls: 0.3201, decode.d4.loss_mask: 0.5222, decode.d4.loss_dice: 0.7737, decode.d5.loss_cls: 0.3139, decode.d5.loss_mask: 0.5226, decode.d5.loss_dice: 0.7733, decode.d6.loss_cls: 0.3072, decode.d6.loss_mask: 0.5199, decode.d6.loss_dice: 0.7674, decode.d7.loss_cls: 0.3072, decode.d7.loss_mask: 0.5209, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.3050, decode.d8.loss_mask: 0.5207, decode.d8.loss_dice: 0.7672, loss: 17.4219 2022-05-01 14:22:08,124 - mmseg - INFO - Iter [41850/80000] lr: 6.847e-07, eta: 20:36:56, time: 1.920, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3062, decode.loss_mask: 0.5036, decode.loss_dice: 0.7637, decode.d0.loss_cls: 1.3351, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8684, decode.d1.loss_cls: 0.4023, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.8201, decode.d2.loss_cls: 0.3475, decode.d2.loss_mask: 0.5126, decode.d2.loss_dice: 0.7915, decode.d3.loss_cls: 0.3340, decode.d3.loss_mask: 0.5054, decode.d3.loss_dice: 0.7732, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5067, decode.d4.loss_dice: 0.7742, decode.d5.loss_cls: 0.3136, decode.d5.loss_mask: 0.5074, decode.d5.loss_dice: 0.7686, decode.d6.loss_cls: 0.3107, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7620, decode.d7.loss_cls: 0.3114, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7617, decode.d8.loss_cls: 0.3048, decode.d8.loss_mask: 0.5024, decode.d8.loss_dice: 0.7650, loss: 17.2461 2022-05-01 14:23:43,774 - mmseg - INFO - Iter [41900/80000] lr: 6.838e-07, eta: 20:35:18, time: 1.913, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2914, decode.loss_mask: 0.5009, decode.loss_dice: 0.7543, decode.d0.loss_cls: 1.3067, decode.d0.loss_mask: 0.5478, decode.d0.loss_dice: 0.8558, decode.d1.loss_cls: 0.3718, decode.d1.loss_mask: 0.5247, decode.d1.loss_dice: 0.8088, decode.d2.loss_cls: 0.3329, decode.d2.loss_mask: 0.5118, decode.d2.loss_dice: 0.7873, decode.d3.loss_cls: 0.3174, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7638, decode.d4.loss_cls: 0.3110, decode.d4.loss_mask: 0.5043, decode.d4.loss_dice: 0.7636, decode.d5.loss_cls: 0.3028, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7643, decode.d6.loss_cls: 0.2951, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7592, decode.d7.loss_cls: 0.2907, decode.d7.loss_mask: 0.5024, decode.d7.loss_dice: 0.7597, decode.d8.loss_cls: 0.2902, decode.d8.loss_mask: 0.4989, decode.d8.loss_dice: 0.7540, loss: 16.9838 2022-05-01 14:25:16,616 - mmseg - INFO - Iter [41950/80000] lr: 6.829e-07, eta: 20:33:36, time: 1.857, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3028, decode.loss_mask: 0.5042, decode.loss_dice: 0.7443, decode.d0.loss_cls: 1.3698, decode.d0.loss_mask: 0.5530, decode.d0.loss_dice: 0.8514, decode.d1.loss_cls: 0.4052, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3510, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.7702, decode.d3.loss_cls: 0.3340, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.3236, decode.d4.loss_mask: 0.5101, decode.d4.loss_dice: 0.7544, decode.d5.loss_cls: 0.3185, decode.d5.loss_mask: 0.5067, decode.d5.loss_dice: 0.7540, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5040, decode.d6.loss_dice: 0.7451, decode.d7.loss_cls: 0.3075, decode.d7.loss_mask: 0.5050, decode.d7.loss_dice: 0.7461, decode.d8.loss_cls: 0.3066, decode.d8.loss_mask: 0.5042, decode.d8.loss_dice: 0.7450, loss: 17.1454 2022-05-01 14:26:50,276 - mmseg - INFO - Saving checkpoint at 42000 iterations 2022-05-01 14:27:08,880 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 14:27:08,889 - mmseg - INFO - Iter [42000/80000] lr: 6.820e-07, eta: 20:32:13, time: 2.244, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2799, decode.loss_mask: 0.5017, decode.loss_dice: 0.7506, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8626, decode.d1.loss_cls: 0.3712, decode.d1.loss_mask: 0.5284, decode.d1.loss_dice: 0.8068, decode.d2.loss_cls: 0.3257, decode.d2.loss_mask: 0.5137, decode.d2.loss_dice: 0.7749, decode.d3.loss_cls: 0.3066, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7622, decode.d4.loss_cls: 0.2921, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7558, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5074, decode.d5.loss_dice: 0.7570, decode.d6.loss_cls: 0.2813, decode.d6.loss_mask: 0.5009, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2831, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7551, decode.d8.loss_cls: 0.2804, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7520, loss: 16.8724 2022-05-01 14:28:43,500 - mmseg - INFO - Iter [42050/80000] lr: 6.811e-07, eta: 20:30:33, time: 1.894, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3135, decode.loss_mask: 0.5220, decode.loss_dice: 0.7760, decode.d0.loss_cls: 1.3525, decode.d0.loss_mask: 0.5700, decode.d0.loss_dice: 0.8794, decode.d1.loss_cls: 0.4002, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8337, decode.d2.loss_cls: 0.3573, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.8013, decode.d3.loss_cls: 0.3415, decode.d3.loss_mask: 0.5232, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.3266, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.7913, decode.d5.loss_cls: 0.3199, decode.d5.loss_mask: 0.5230, decode.d5.loss_dice: 0.7860, decode.d6.loss_cls: 0.3155, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7836, decode.d7.loss_cls: 0.3193, decode.d7.loss_mask: 0.5206, decode.d7.loss_dice: 0.7798, decode.d8.loss_cls: 0.3140, decode.d8.loss_mask: 0.5220, decode.d8.loss_dice: 0.7796, loss: 17.6565 2022-05-01 14:30:16,971 - mmseg - INFO - Iter [42100/80000] lr: 6.802e-07, eta: 20:28:52, time: 1.869, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3152, decode.loss_mask: 0.5255, decode.loss_dice: 0.7862, decode.d0.loss_cls: 1.3487, decode.d0.loss_mask: 0.5791, decode.d0.loss_dice: 0.8968, decode.d1.loss_cls: 0.4014, decode.d1.loss_mask: 0.5590, decode.d1.loss_dice: 0.8506, decode.d2.loss_cls: 0.3481, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.8198, decode.d3.loss_cls: 0.3365, decode.d3.loss_mask: 0.5384, decode.d3.loss_dice: 0.7994, decode.d4.loss_cls: 0.3279, decode.d4.loss_mask: 0.5330, decode.d4.loss_dice: 0.7997, decode.d5.loss_cls: 0.3204, decode.d5.loss_mask: 0.5300, decode.d5.loss_dice: 0.7984, decode.d6.loss_cls: 0.3195, decode.d6.loss_mask: 0.5280, decode.d6.loss_dice: 0.7945, decode.d7.loss_cls: 0.3173, decode.d7.loss_mask: 0.5314, decode.d7.loss_dice: 0.7922, decode.d8.loss_cls: 0.3167, decode.d8.loss_mask: 0.5282, decode.d8.loss_dice: 0.7919, loss: 17.8808 2022-05-01 14:31:48,904 - mmseg - INFO - Iter [42150/80000] lr: 6.793e-07, eta: 20:27:10, time: 1.839, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3068, decode.loss_mask: 0.5157, decode.loss_dice: 0.7638, decode.d0.loss_cls: 1.3601, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8578, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5446, decode.d1.loss_dice: 0.8179, decode.d2.loss_cls: 0.3481, decode.d2.loss_mask: 0.5297, decode.d2.loss_dice: 0.7931, decode.d3.loss_cls: 0.3350, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7694, decode.d4.loss_cls: 0.3223, decode.d4.loss_mask: 0.5223, decode.d4.loss_dice: 0.7758, decode.d5.loss_cls: 0.3191, decode.d5.loss_mask: 0.5224, decode.d5.loss_dice: 0.7763, decode.d6.loss_cls: 0.3140, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.3042, decode.d7.loss_mask: 0.5168, decode.d7.loss_dice: 0.7607, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.5146, decode.d8.loss_dice: 0.7632, loss: 17.4279 2022-05-01 14:33:21,509 - mmseg - INFO - Iter [42200/80000] lr: 6.784e-07, eta: 20:25:29, time: 1.852, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3124, decode.loss_mask: 0.5297, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.3481, decode.d0.loss_mask: 0.5732, decode.d0.loss_dice: 0.8888, decode.d1.loss_cls: 0.4005, decode.d1.loss_mask: 0.5551, decode.d1.loss_dice: 0.8319, decode.d2.loss_cls: 0.3606, decode.d2.loss_mask: 0.5381, decode.d2.loss_dice: 0.8037, decode.d3.loss_cls: 0.3356, decode.d3.loss_mask: 0.5343, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3248, decode.d4.loss_mask: 0.5358, decode.d4.loss_dice: 0.7901, decode.d5.loss_cls: 0.3203, decode.d5.loss_mask: 0.5356, decode.d5.loss_dice: 0.7871, decode.d6.loss_cls: 0.3181, decode.d6.loss_mask: 0.5306, decode.d6.loss_dice: 0.7782, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5314, decode.d7.loss_dice: 0.7775, decode.d8.loss_cls: 0.3119, decode.d8.loss_mask: 0.5311, decode.d8.loss_dice: 0.7758, loss: 17.7476 2022-05-01 14:34:53,962 - mmseg - INFO - Iter [42250/80000] lr: 6.775e-07, eta: 20:23:47, time: 1.848, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3056, decode.loss_mask: 0.5209, decode.loss_dice: 0.7552, decode.d0.loss_cls: 1.3539, decode.d0.loss_mask: 0.5749, decode.d0.loss_dice: 0.8644, decode.d1.loss_cls: 0.3984, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8186, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.7912, decode.d3.loss_cls: 0.3314, decode.d3.loss_mask: 0.5262, decode.d3.loss_dice: 0.7743, decode.d4.loss_cls: 0.3247, decode.d4.loss_mask: 0.5258, decode.d4.loss_dice: 0.7702, decode.d5.loss_cls: 0.3150, decode.d5.loss_mask: 0.5239, decode.d5.loss_dice: 0.7681, decode.d6.loss_cls: 0.3051, decode.d6.loss_mask: 0.5241, decode.d6.loss_dice: 0.7605, decode.d7.loss_cls: 0.3060, decode.d7.loss_mask: 0.5250, decode.d7.loss_dice: 0.7579, decode.d8.loss_cls: 0.3063, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7578, loss: 17.4439 2022-05-01 14:36:25,132 - mmseg - INFO - Iter [42300/80000] lr: 6.766e-07, eta: 20:22:04, time: 1.824, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3059, decode.loss_mask: 0.5346, decode.loss_dice: 0.7882, decode.d0.loss_cls: 1.3327, decode.d0.loss_mask: 0.5951, decode.d0.loss_dice: 0.9108, decode.d1.loss_cls: 0.3994, decode.d1.loss_mask: 0.5704, decode.d1.loss_dice: 0.8532, decode.d2.loss_cls: 0.3522, decode.d2.loss_mask: 0.5549, decode.d2.loss_dice: 0.8269, decode.d3.loss_cls: 0.3335, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.8037, decode.d4.loss_cls: 0.3241, decode.d4.loss_mask: 0.5405, decode.d4.loss_dice: 0.8052, decode.d5.loss_cls: 0.3230, decode.d5.loss_mask: 0.5404, decode.d5.loss_dice: 0.7989, decode.d6.loss_cls: 0.3110, decode.d6.loss_mask: 0.5355, decode.d6.loss_dice: 0.7903, decode.d7.loss_cls: 0.3094, decode.d7.loss_mask: 0.5353, decode.d7.loss_dice: 0.7897, decode.d8.loss_cls: 0.3051, decode.d8.loss_mask: 0.5346, decode.d8.loss_dice: 0.7904, loss: 17.9400 2022-05-01 14:37:58,066 - mmseg - INFO - Iter [42350/80000] lr: 6.757e-07, eta: 20:20:23, time: 1.859, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2933, decode.loss_mask: 0.5382, decode.loss_dice: 0.7763, decode.d0.loss_cls: 1.3010, decode.d0.loss_mask: 0.5899, decode.d0.loss_dice: 0.8762, decode.d1.loss_cls: 0.3659, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8279, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5489, decode.d2.loss_dice: 0.7998, decode.d3.loss_cls: 0.3139, decode.d3.loss_mask: 0.5461, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.3028, decode.d4.loss_mask: 0.5424, decode.d4.loss_dice: 0.7809, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5401, decode.d5.loss_dice: 0.7824, decode.d6.loss_cls: 0.2929, decode.d6.loss_mask: 0.5404, decode.d6.loss_dice: 0.7740, decode.d7.loss_cls: 0.2947, decode.d7.loss_mask: 0.5404, decode.d7.loss_dice: 0.7718, decode.d8.loss_cls: 0.2946, decode.d8.loss_mask: 0.5381, decode.d8.loss_dice: 0.7768, loss: 17.5150 2022-05-01 14:39:31,345 - mmseg - INFO - Iter [42400/80000] lr: 6.748e-07, eta: 20:18:43, time: 1.866, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3010, decode.loss_mask: 0.5401, decode.loss_dice: 0.7906, decode.d0.loss_cls: 1.3488, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.9011, decode.d1.loss_cls: 0.3846, decode.d1.loss_mask: 0.5620, decode.d1.loss_dice: 0.8528, decode.d2.loss_cls: 0.3349, decode.d2.loss_mask: 0.5501, decode.d2.loss_dice: 0.8187, decode.d3.loss_cls: 0.3267, decode.d3.loss_mask: 0.5456, decode.d3.loss_dice: 0.7964, decode.d4.loss_cls: 0.3234, decode.d4.loss_mask: 0.5425, decode.d4.loss_dice: 0.8001, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.7969, decode.d6.loss_cls: 0.3102, decode.d6.loss_mask: 0.5406, decode.d6.loss_dice: 0.7920, decode.d7.loss_cls: 0.3070, decode.d7.loss_mask: 0.5397, decode.d7.loss_dice: 0.7963, decode.d8.loss_cls: 0.3053, decode.d8.loss_mask: 0.5397, decode.d8.loss_dice: 0.7926, loss: 17.8771 2022-05-01 14:41:06,062 - mmseg - INFO - Iter [42450/80000] lr: 6.739e-07, eta: 20:17:03, time: 1.894, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3266, decode.loss_mask: 0.5287, decode.loss_dice: 0.7638, decode.d0.loss_cls: 1.3300, decode.d0.loss_mask: 0.5826, decode.d0.loss_dice: 0.8880, decode.d1.loss_cls: 0.3982, decode.d1.loss_mask: 0.5534, decode.d1.loss_dice: 0.8356, decode.d2.loss_cls: 0.3567, decode.d2.loss_mask: 0.5447, decode.d2.loss_dice: 0.7940, decode.d3.loss_cls: 0.3468, decode.d3.loss_mask: 0.5356, decode.d3.loss_dice: 0.7811, decode.d4.loss_cls: 0.3377, decode.d4.loss_mask: 0.5368, decode.d4.loss_dice: 0.7760, decode.d5.loss_cls: 0.3335, decode.d5.loss_mask: 0.5348, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.3268, decode.d6.loss_mask: 0.5294, decode.d6.loss_dice: 0.7684, decode.d7.loss_cls: 0.3290, decode.d7.loss_mask: 0.5271, decode.d7.loss_dice: 0.7669, decode.d8.loss_cls: 0.3258, decode.d8.loss_mask: 0.5292, decode.d8.loss_dice: 0.7708, loss: 17.7339 2022-05-01 14:42:40,442 - mmseg - INFO - Iter [42500/80000] lr: 6.730e-07, eta: 20:15:23, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2931, decode.loss_mask: 0.5198, decode.loss_dice: 0.7542, decode.d0.loss_cls: 1.3073, decode.d0.loss_mask: 0.5707, decode.d0.loss_dice: 0.8573, decode.d1.loss_cls: 0.3792, decode.d1.loss_mask: 0.5524, decode.d1.loss_dice: 0.8117, decode.d2.loss_cls: 0.3278, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.7890, decode.d3.loss_cls: 0.3176, decode.d3.loss_mask: 0.5249, decode.d3.loss_dice: 0.7721, decode.d4.loss_cls: 0.3076, decode.d4.loss_mask: 0.5243, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.3016, decode.d5.loss_mask: 0.5238, decode.d5.loss_dice: 0.7647, decode.d6.loss_cls: 0.2939, decode.d6.loss_mask: 0.5220, decode.d6.loss_dice: 0.7583, decode.d7.loss_cls: 0.2972, decode.d7.loss_mask: 0.5211, decode.d7.loss_dice: 0.7576, decode.d8.loss_cls: 0.2945, decode.d8.loss_mask: 0.5208, decode.d8.loss_dice: 0.7574, loss: 17.2264 2022-05-01 14:44:14,816 - mmseg - INFO - Iter [42550/80000] lr: 6.721e-07, eta: 20:13:44, time: 1.887, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2954, decode.loss_mask: 0.5025, decode.loss_dice: 0.7401, decode.d0.loss_cls: 1.3245, decode.d0.loss_mask: 0.5553, decode.d0.loss_dice: 0.8441, decode.d1.loss_cls: 0.3830, decode.d1.loss_mask: 0.5318, decode.d1.loss_dice: 0.7983, decode.d2.loss_cls: 0.3397, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7680, decode.d3.loss_cls: 0.3154, decode.d3.loss_mask: 0.5096, decode.d3.loss_dice: 0.7572, decode.d4.loss_cls: 0.3068, decode.d4.loss_mask: 0.5082, decode.d4.loss_dice: 0.7534, decode.d5.loss_cls: 0.2951, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7549, decode.d6.loss_cls: 0.2946, decode.d6.loss_mask: 0.5023, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2928, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7415, decode.d8.loss_cls: 0.2957, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7423, loss: 16.9207 2022-05-01 14:45:48,653 - mmseg - INFO - Iter [42600/80000] lr: 6.713e-07, eta: 20:12:03, time: 1.877, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3090, decode.loss_mask: 0.5207, decode.loss_dice: 0.7590, decode.d0.loss_cls: 1.3244, decode.d0.loss_mask: 0.5664, decode.d0.loss_dice: 0.8672, decode.d1.loss_cls: 0.3947, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8139, decode.d2.loss_cls: 0.3466, decode.d2.loss_mask: 0.5321, decode.d2.loss_dice: 0.7838, decode.d3.loss_cls: 0.3284, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7732, decode.d4.loss_cls: 0.3224, decode.d4.loss_mask: 0.5236, decode.d4.loss_dice: 0.7706, decode.d5.loss_cls: 0.3170, decode.d5.loss_mask: 0.5235, decode.d5.loss_dice: 0.7712, decode.d6.loss_cls: 0.3070, decode.d6.loss_mask: 0.5247, decode.d6.loss_dice: 0.7642, decode.d7.loss_cls: 0.3083, decode.d7.loss_mask: 0.5214, decode.d7.loss_dice: 0.7637, decode.d8.loss_cls: 0.3065, decode.d8.loss_mask: 0.5230, decode.d8.loss_dice: 0.7649, loss: 17.4081 2022-05-01 14:47:23,087 - mmseg - INFO - Iter [42650/80000] lr: 6.704e-07, eta: 20:10:24, time: 1.889, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2987, decode.loss_mask: 0.5127, decode.loss_dice: 0.7594, decode.d0.loss_cls: 1.3179, decode.d0.loss_mask: 0.5609, decode.d0.loss_dice: 0.8782, decode.d1.loss_cls: 0.3917, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.8231, decode.d2.loss_cls: 0.3383, decode.d2.loss_mask: 0.5252, decode.d2.loss_dice: 0.7843, decode.d3.loss_cls: 0.3206, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7701, decode.d4.loss_cls: 0.3116, decode.d4.loss_mask: 0.5167, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.3039, decode.d5.loss_mask: 0.5190, decode.d5.loss_dice: 0.7662, decode.d6.loss_cls: 0.3016, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7624, decode.d7.loss_cls: 0.2970, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7630, decode.d8.loss_cls: 0.2947, decode.d8.loss_mask: 0.5147, decode.d8.loss_dice: 0.7650, loss: 17.2613 2022-05-01 14:48:56,341 - mmseg - INFO - Iter [42700/80000] lr: 6.695e-07, eta: 20:08:43, time: 1.865, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3262, decode.loss_mask: 0.5423, decode.loss_dice: 0.7978, decode.d0.loss_cls: 1.3267, decode.d0.loss_mask: 0.5919, decode.d0.loss_dice: 0.9086, decode.d1.loss_cls: 0.4157, decode.d1.loss_mask: 0.5662, decode.d1.loss_dice: 0.8592, decode.d2.loss_cls: 0.3695, decode.d2.loss_mask: 0.5530, decode.d2.loss_dice: 0.8249, decode.d3.loss_cls: 0.3484, decode.d3.loss_mask: 0.5504, decode.d3.loss_dice: 0.8093, decode.d4.loss_cls: 0.3392, decode.d4.loss_mask: 0.5480, decode.d4.loss_dice: 0.8103, decode.d5.loss_cls: 0.3373, decode.d5.loss_mask: 0.5439, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3325, decode.d6.loss_mask: 0.5411, decode.d6.loss_dice: 0.7989, decode.d7.loss_cls: 0.3294, decode.d7.loss_mask: 0.5432, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3280, decode.d8.loss_mask: 0.5422, decode.d8.loss_dice: 0.8007, loss: 18.1888 2022-05-01 14:50:29,261 - mmseg - INFO - Iter [42750/80000] lr: 6.686e-07, eta: 20:07:02, time: 1.858, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3194, decode.loss_mask: 0.5366, decode.loss_dice: 0.7885, decode.d0.loss_cls: 1.3408, decode.d0.loss_mask: 0.5853, decode.d0.loss_dice: 0.8982, decode.d1.loss_cls: 0.3951, decode.d1.loss_mask: 0.5688, decode.d1.loss_dice: 0.8506, decode.d2.loss_cls: 0.3566, decode.d2.loss_mask: 0.5505, decode.d2.loss_dice: 0.8191, decode.d3.loss_cls: 0.3360, decode.d3.loss_mask: 0.5463, decode.d3.loss_dice: 0.8015, decode.d4.loss_cls: 0.3298, decode.d4.loss_mask: 0.5403, decode.d4.loss_dice: 0.7978, decode.d5.loss_cls: 0.3250, decode.d5.loss_mask: 0.5414, decode.d5.loss_dice: 0.7932, decode.d6.loss_cls: 0.3205, decode.d6.loss_mask: 0.5388, decode.d6.loss_dice: 0.7862, decode.d7.loss_cls: 0.3126, decode.d7.loss_mask: 0.5376, decode.d7.loss_dice: 0.7937, decode.d8.loss_cls: 0.3175, decode.d8.loss_mask: 0.5365, decode.d8.loss_dice: 0.7893, loss: 17.9536 2022-05-01 14:52:04,685 - mmseg - INFO - Iter [42800/80000] lr: 6.677e-07, eta: 20:05:23, time: 1.909, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3108, decode.loss_mask: 0.5244, decode.loss_dice: 0.7603, decode.d0.loss_cls: 1.3260, decode.d0.loss_mask: 0.5743, decode.d0.loss_dice: 0.8715, decode.d1.loss_cls: 0.4004, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8154, decode.d2.loss_cls: 0.3553, decode.d2.loss_mask: 0.5360, decode.d2.loss_dice: 0.7850, decode.d3.loss_cls: 0.3376, decode.d3.loss_mask: 0.5259, decode.d3.loss_dice: 0.7678, decode.d4.loss_cls: 0.3177, decode.d4.loss_mask: 0.5238, decode.d4.loss_dice: 0.7705, decode.d5.loss_cls: 0.3181, decode.d5.loss_mask: 0.5232, decode.d5.loss_dice: 0.7691, decode.d6.loss_cls: 0.3098, decode.d6.loss_mask: 0.5218, decode.d6.loss_dice: 0.7618, decode.d7.loss_cls: 0.3136, decode.d7.loss_mask: 0.5226, decode.d7.loss_dice: 0.7604, decode.d8.loss_cls: 0.3151, decode.d8.loss_mask: 0.5231, decode.d8.loss_dice: 0.7609, loss: 17.4524 2022-05-01 14:53:39,678 - mmseg - INFO - Iter [42850/80000] lr: 6.668e-07, eta: 20:03:44, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3045, decode.loss_mask: 0.5313, decode.loss_dice: 0.7661, decode.d0.loss_cls: 1.3293, decode.d0.loss_mask: 0.5765, decode.d0.loss_dice: 0.8714, decode.d1.loss_cls: 0.3924, decode.d1.loss_mask: 0.5547, decode.d1.loss_dice: 0.8198, decode.d2.loss_cls: 0.3422, decode.d2.loss_mask: 0.5396, decode.d2.loss_dice: 0.7898, decode.d3.loss_cls: 0.3309, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.7738, decode.d4.loss_cls: 0.3180, decode.d4.loss_mask: 0.5362, decode.d4.loss_dice: 0.7719, decode.d5.loss_cls: 0.3143, decode.d5.loss_mask: 0.5345, decode.d5.loss_dice: 0.7731, decode.d6.loss_cls: 0.3112, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.7643, decode.d7.loss_cls: 0.3079, decode.d7.loss_mask: 0.5312, decode.d7.loss_dice: 0.7646, decode.d8.loss_cls: 0.3055, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7593, loss: 17.5153 2022-05-01 14:55:15,062 - mmseg - INFO - Iter [42900/80000] lr: 6.659e-07, eta: 20:02:05, time: 1.907, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3012, decode.loss_mask: 0.5154, decode.loss_dice: 0.7653, decode.d0.loss_cls: 1.3242, decode.d0.loss_mask: 0.5670, decode.d0.loss_dice: 0.8761, decode.d1.loss_cls: 0.3857, decode.d1.loss_mask: 0.5404, decode.d1.loss_dice: 0.8207, decode.d2.loss_cls: 0.3398, decode.d2.loss_mask: 0.5337, decode.d2.loss_dice: 0.7898, decode.d3.loss_cls: 0.3249, decode.d3.loss_mask: 0.5251, decode.d3.loss_dice: 0.7754, decode.d4.loss_cls: 0.3159, decode.d4.loss_mask: 0.5227, decode.d4.loss_dice: 0.7732, decode.d5.loss_cls: 0.3138, decode.d5.loss_mask: 0.5182, decode.d5.loss_dice: 0.7734, decode.d6.loss_cls: 0.3018, decode.d6.loss_mask: 0.5181, decode.d6.loss_dice: 0.7648, decode.d7.loss_cls: 0.3017, decode.d7.loss_mask: 0.5169, decode.d7.loss_dice: 0.7611, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7662, loss: 17.3461 2022-05-01 14:56:49,668 - mmseg - INFO - Iter [42950/80000] lr: 6.650e-07, eta: 20:00:26, time: 1.892, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3172, decode.loss_mask: 0.5156, decode.loss_dice: 0.7622, decode.d0.loss_cls: 1.3646, decode.d0.loss_mask: 0.5632, decode.d0.loss_dice: 0.8694, decode.d1.loss_cls: 0.4091, decode.d1.loss_mask: 0.5432, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3589, decode.d2.loss_mask: 0.5268, decode.d2.loss_dice: 0.7936, decode.d3.loss_cls: 0.3464, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7791, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5207, decode.d4.loss_dice: 0.7762, decode.d5.loss_cls: 0.3272, decode.d5.loss_mask: 0.5178, decode.d5.loss_dice: 0.7690, decode.d6.loss_cls: 0.3245, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7653, decode.d7.loss_cls: 0.3233, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.3155, decode.d8.loss_mask: 0.5168, decode.d8.loss_dice: 0.7646, loss: 17.5406 2022-05-01 14:58:26,549 - mmseg - INFO - Saving checkpoint at 43000 iterations 2022-05-01 14:58:57,020 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 14:58:57,023 - mmseg - INFO - Iter [43000/80000] lr: 6.641e-07, eta: 19:59:15, time: 2.544, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3093, decode.loss_mask: 0.5214, decode.loss_dice: 0.7640, decode.d0.loss_cls: 1.3506, decode.d0.loss_mask: 0.5736, decode.d0.loss_dice: 0.8671, decode.d1.loss_cls: 0.4078, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8136, decode.d2.loss_cls: 0.3576, decode.d2.loss_mask: 0.5310, decode.d2.loss_dice: 0.7881, decode.d3.loss_cls: 0.3298, decode.d3.loss_mask: 0.5281, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.3226, decode.d4.loss_mask: 0.5261, decode.d4.loss_dice: 0.7752, decode.d5.loss_cls: 0.3185, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7727, decode.d6.loss_cls: 0.3110, decode.d6.loss_mask: 0.5231, decode.d6.loss_dice: 0.7677, decode.d7.loss_cls: 0.3114, decode.d7.loss_mask: 0.5216, decode.d7.loss_dice: 0.7686, decode.d8.loss_cls: 0.3079, decode.d8.loss_mask: 0.5219, decode.d8.loss_dice: 0.7683, loss: 17.5061 2022-05-01 15:00:31,872 - mmseg - INFO - Iter [43050/80000] lr: 6.632e-07, eta: 19:57:35, time: 1.900, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2933, decode.loss_mask: 0.5205, decode.loss_dice: 0.7536, decode.d0.loss_cls: 1.3068, decode.d0.loss_mask: 0.5676, decode.d0.loss_dice: 0.8621, decode.d1.loss_cls: 0.3836, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8134, decode.d2.loss_cls: 0.3305, decode.d2.loss_mask: 0.5263, decode.d2.loss_dice: 0.7856, decode.d3.loss_cls: 0.3155, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7719, decode.d4.loss_cls: 0.3075, decode.d4.loss_mask: 0.5233, decode.d4.loss_dice: 0.7701, decode.d5.loss_cls: 0.3027, decode.d5.loss_mask: 0.5226, decode.d5.loss_dice: 0.7681, decode.d6.loss_cls: 0.2967, decode.d6.loss_mask: 0.5208, decode.d6.loss_dice: 0.7603, decode.d7.loss_cls: 0.2923, decode.d7.loss_mask: 0.5208, decode.d7.loss_dice: 0.7575, decode.d8.loss_cls: 0.2902, decode.d8.loss_mask: 0.5213, decode.d8.loss_dice: 0.7596, loss: 17.2116 2022-05-01 15:02:07,192 - mmseg - INFO - Iter [43100/80000] lr: 6.623e-07, eta: 19:55:57, time: 1.906, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2862, decode.loss_mask: 0.5134, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.5550, decode.d0.loss_dice: 0.8577, decode.d1.loss_cls: 0.3710, decode.d1.loss_mask: 0.5371, decode.d1.loss_dice: 0.8137, decode.d2.loss_cls: 0.3237, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.7853, decode.d3.loss_cls: 0.3073, decode.d3.loss_mask: 0.5227, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.3004, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7728, decode.d5.loss_cls: 0.2911, decode.d5.loss_mask: 0.5168, decode.d5.loss_dice: 0.7717, decode.d6.loss_cls: 0.2891, decode.d6.loss_mask: 0.5148, decode.d6.loss_dice: 0.7627, decode.d7.loss_cls: 0.2861, decode.d7.loss_mask: 0.5156, decode.d7.loss_dice: 0.7641, decode.d8.loss_cls: 0.2841, decode.d8.loss_mask: 0.5155, decode.d8.loss_dice: 0.7656, loss: 17.1244 2022-05-01 15:03:41,428 - mmseg - INFO - Iter [43150/80000] lr: 6.614e-07, eta: 19:54:17, time: 1.885, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2895, decode.loss_mask: 0.5283, decode.loss_dice: 0.7633, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.5738, decode.d0.loss_dice: 0.8737, decode.d1.loss_cls: 0.3738, decode.d1.loss_mask: 0.5530, decode.d1.loss_dice: 0.8235, decode.d2.loss_cls: 0.3313, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.7869, decode.d3.loss_cls: 0.3188, decode.d3.loss_mask: 0.5319, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.3068, decode.d4.loss_mask: 0.5322, decode.d4.loss_dice: 0.7712, decode.d5.loss_cls: 0.2960, decode.d5.loss_mask: 0.5318, decode.d5.loss_dice: 0.7742, decode.d6.loss_cls: 0.2908, decode.d6.loss_mask: 0.5280, decode.d6.loss_dice: 0.7682, decode.d7.loss_cls: 0.2907, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.2889, decode.d8.loss_mask: 0.5278, decode.d8.loss_dice: 0.7683, loss: 17.3335 2022-05-01 15:05:15,968 - mmseg - INFO - Iter [43200/80000] lr: 6.605e-07, eta: 19:52:37, time: 1.891, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3179, decode.loss_mask: 0.5111, decode.loss_dice: 0.7550, decode.d0.loss_cls: 1.3515, decode.d0.loss_mask: 0.5600, decode.d0.loss_dice: 0.8705, decode.d1.loss_cls: 0.4114, decode.d1.loss_mask: 0.5382, decode.d1.loss_dice: 0.8145, decode.d2.loss_cls: 0.3645, decode.d2.loss_mask: 0.5196, decode.d2.loss_dice: 0.7830, decode.d3.loss_cls: 0.3379, decode.d3.loss_mask: 0.5148, decode.d3.loss_dice: 0.7683, decode.d4.loss_cls: 0.3264, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7688, decode.d5.loss_cls: 0.3295, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7612, decode.d6.loss_cls: 0.3202, decode.d6.loss_mask: 0.5111, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.3189, decode.d7.loss_mask: 0.5121, decode.d7.loss_dice: 0.7610, decode.d8.loss_cls: 0.3092, decode.d8.loss_mask: 0.5121, decode.d8.loss_dice: 0.7662, loss: 17.3985 2022-05-01 15:06:50,876 - mmseg - INFO - Iter [43250/80000] lr: 6.596e-07, eta: 19:50:58, time: 1.898, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2864, decode.loss_mask: 0.5314, decode.loss_dice: 0.7690, decode.d0.loss_cls: 1.3099, decode.d0.loss_mask: 0.5743, decode.d0.loss_dice: 0.8821, decode.d1.loss_cls: 0.3844, decode.d1.loss_mask: 0.5518, decode.d1.loss_dice: 0.8277, decode.d2.loss_cls: 0.3350, decode.d2.loss_mask: 0.5427, decode.d2.loss_dice: 0.7962, decode.d3.loss_cls: 0.3098, decode.d3.loss_mask: 0.5361, decode.d3.loss_dice: 0.7830, decode.d4.loss_cls: 0.3049, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.7821, decode.d5.loss_cls: 0.2964, decode.d5.loss_mask: 0.5327, decode.d5.loss_dice: 0.7805, decode.d6.loss_cls: 0.2978, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7693, decode.d7.loss_cls: 0.2942, decode.d7.loss_mask: 0.5327, decode.d7.loss_dice: 0.7744, decode.d8.loss_cls: 0.2905, decode.d8.loss_mask: 0.5316, decode.d8.loss_dice: 0.7739, loss: 17.4440 2022-05-01 15:08:22,903 - mmseg - INFO - Iter [43300/80000] lr: 6.587e-07, eta: 19:49:16, time: 1.839, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3168, decode.loss_mask: 0.5156, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.3553, decode.d0.loss_mask: 0.5645, decode.d0.loss_dice: 0.8965, decode.d1.loss_cls: 0.3958, decode.d1.loss_mask: 0.5400, decode.d1.loss_dice: 0.8469, decode.d2.loss_cls: 0.3547, decode.d2.loss_mask: 0.5265, decode.d2.loss_dice: 0.8080, decode.d3.loss_cls: 0.3347, decode.d3.loss_mask: 0.5210, decode.d3.loss_dice: 0.7938, decode.d4.loss_cls: 0.3263, decode.d4.loss_mask: 0.5181, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3200, decode.d5.loss_mask: 0.5164, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.3217, decode.d6.loss_mask: 0.5146, decode.d6.loss_dice: 0.7806, decode.d7.loss_cls: 0.3157, decode.d7.loss_mask: 0.5159, decode.d7.loss_dice: 0.7833, decode.d8.loss_cls: 0.3175, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7817, loss: 17.6644 2022-05-01 15:09:56,681 - mmseg - INFO - Iter [43350/80000] lr: 6.578e-07, eta: 19:47:36, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2674, decode.loss_mask: 0.5027, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.2784, decode.d0.loss_mask: 0.5484, decode.d0.loss_dice: 0.8366, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5277, decode.d1.loss_dice: 0.7925, decode.d2.loss_cls: 0.3091, decode.d2.loss_mask: 0.5115, decode.d2.loss_dice: 0.7667, decode.d3.loss_cls: 0.2907, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7528, decode.d4.loss_cls: 0.2812, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7545, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5051, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.2659, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7508, decode.d7.loss_cls: 0.2710, decode.d7.loss_mask: 0.5046, decode.d7.loss_dice: 0.7434, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7432, loss: 16.6136 2022-05-01 15:11:32,142 - mmseg - INFO - Iter [43400/80000] lr: 6.569e-07, eta: 19:45:58, time: 1.908, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3082, decode.loss_mask: 0.5307, decode.loss_dice: 0.7790, decode.d0.loss_cls: 1.3237, decode.d0.loss_mask: 0.5739, decode.d0.loss_dice: 0.8811, decode.d1.loss_cls: 0.3900, decode.d1.loss_mask: 0.5543, decode.d1.loss_dice: 0.8334, decode.d2.loss_cls: 0.3440, decode.d2.loss_mask: 0.5406, decode.d2.loss_dice: 0.8074, decode.d3.loss_cls: 0.3275, decode.d3.loss_mask: 0.5363, decode.d3.loss_dice: 0.7935, decode.d4.loss_cls: 0.3210, decode.d4.loss_mask: 0.5349, decode.d4.loss_dice: 0.7910, decode.d5.loss_cls: 0.3184, decode.d5.loss_mask: 0.5303, decode.d5.loss_dice: 0.7822, decode.d6.loss_cls: 0.3085, decode.d6.loss_mask: 0.5306, decode.d6.loss_dice: 0.7776, decode.d7.loss_cls: 0.3111, decode.d7.loss_mask: 0.5302, decode.d7.loss_dice: 0.7813, decode.d8.loss_cls: 0.3071, decode.d8.loss_mask: 0.5298, decode.d8.loss_dice: 0.7781, loss: 17.6558 2022-05-01 15:13:06,254 - mmseg - INFO - Iter [43450/80000] lr: 6.560e-07, eta: 19:44:18, time: 1.882, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2803, decode.loss_mask: 0.5441, decode.loss_dice: 0.7928, decode.d0.loss_cls: 1.2772, decode.d0.loss_mask: 0.6026, decode.d0.loss_dice: 0.8941, decode.d1.loss_cls: 0.3719, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3233, decode.d2.loss_mask: 0.5547, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3095, decode.d3.loss_mask: 0.5504, decode.d3.loss_dice: 0.8053, decode.d4.loss_cls: 0.2970, decode.d4.loss_mask: 0.5514, decode.d4.loss_dice: 0.8046, decode.d5.loss_cls: 0.2936, decode.d5.loss_mask: 0.5495, decode.d5.loss_dice: 0.8027, decode.d6.loss_cls: 0.2871, decode.d6.loss_mask: 0.5439, decode.d6.loss_dice: 0.7997, decode.d7.loss_cls: 0.2849, decode.d7.loss_mask: 0.5430, decode.d7.loss_dice: 0.7944, decode.d8.loss_cls: 0.2809, decode.d8.loss_mask: 0.5447, decode.d8.loss_dice: 0.7977, loss: 17.7145 2022-05-01 15:14:41,225 - mmseg - INFO - Iter [43500/80000] lr: 6.551e-07, eta: 19:42:39, time: 1.900, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2738, decode.loss_mask: 0.5133, decode.loss_dice: 0.7435, decode.d0.loss_cls: 1.2967, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8498, decode.d1.loss_cls: 0.3614, decode.d1.loss_mask: 0.5331, decode.d1.loss_dice: 0.7957, decode.d2.loss_cls: 0.3163, decode.d2.loss_mask: 0.5209, decode.d2.loss_dice: 0.7689, decode.d3.loss_cls: 0.2953, decode.d3.loss_mask: 0.5212, decode.d3.loss_dice: 0.7584, decode.d4.loss_cls: 0.2931, decode.d4.loss_mask: 0.5180, decode.d4.loss_dice: 0.7563, decode.d5.loss_cls: 0.2838, decode.d5.loss_mask: 0.5185, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2786, decode.d6.loss_mask: 0.5150, decode.d6.loss_dice: 0.7454, decode.d7.loss_cls: 0.2734, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7449, decode.d8.loss_cls: 0.2747, decode.d8.loss_mask: 0.5153, decode.d8.loss_dice: 0.7403, loss: 16.8402 2022-05-01 15:16:14,010 - mmseg - INFO - Iter [43550/80000] lr: 6.542e-07, eta: 19:40:58, time: 1.856, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2991, decode.loss_mask: 0.5320, decode.loss_dice: 0.7665, decode.d0.loss_cls: 1.3195, decode.d0.loss_mask: 0.5816, decode.d0.loss_dice: 0.8694, decode.d1.loss_cls: 0.3897, decode.d1.loss_mask: 0.5550, decode.d1.loss_dice: 0.8228, decode.d2.loss_cls: 0.3437, decode.d2.loss_mask: 0.5451, decode.d2.loss_dice: 0.7917, decode.d3.loss_cls: 0.3282, decode.d3.loss_mask: 0.5368, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.3177, decode.d4.loss_mask: 0.5327, decode.d4.loss_dice: 0.7739, decode.d5.loss_cls: 0.3149, decode.d5.loss_mask: 0.5333, decode.d5.loss_dice: 0.7656, decode.d6.loss_cls: 0.3074, decode.d6.loss_mask: 0.5332, decode.d6.loss_dice: 0.7648, decode.d7.loss_cls: 0.3038, decode.d7.loss_mask: 0.5332, decode.d7.loss_dice: 0.7657, decode.d8.loss_cls: 0.3045, decode.d8.loss_mask: 0.5306, decode.d8.loss_dice: 0.7654, loss: 17.5037 2022-05-01 15:17:48,857 - mmseg - INFO - Iter [43600/80000] lr: 6.533e-07, eta: 19:39:19, time: 1.897, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3086, decode.loss_mask: 0.5045, decode.loss_dice: 0.7553, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8575, decode.d1.loss_cls: 0.3915, decode.d1.loss_mask: 0.5288, decode.d1.loss_dice: 0.8086, decode.d2.loss_cls: 0.3492, decode.d2.loss_mask: 0.5174, decode.d2.loss_dice: 0.7808, decode.d3.loss_cls: 0.3289, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7727, decode.d4.loss_cls: 0.3181, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7746, decode.d5.loss_cls: 0.3143, decode.d5.loss_mask: 0.5078, decode.d5.loss_dice: 0.7679, decode.d6.loss_cls: 0.3065, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7657, decode.d7.loss_cls: 0.3058, decode.d7.loss_mask: 0.5050, decode.d7.loss_dice: 0.7613, decode.d8.loss_cls: 0.2999, decode.d8.loss_mask: 0.5070, decode.d8.loss_dice: 0.7602, loss: 17.2085 2022-05-01 15:19:23,563 - mmseg - INFO - Iter [43650/80000] lr: 6.524e-07, eta: 19:37:39, time: 1.894, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2978, decode.loss_mask: 0.5034, decode.loss_dice: 0.7565, decode.d0.loss_cls: 1.3325, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8627, decode.d1.loss_cls: 0.3976, decode.d1.loss_mask: 0.5228, decode.d1.loss_dice: 0.8140, decode.d2.loss_cls: 0.3469, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7832, decode.d3.loss_cls: 0.3230, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7730, decode.d4.loss_cls: 0.3111, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7690, decode.d5.loss_cls: 0.3057, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.3030, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7615, decode.d7.loss_cls: 0.3046, decode.d7.loss_mask: 0.5045, decode.d7.loss_dice: 0.7546, decode.d8.loss_cls: 0.2983, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7561, loss: 17.1528 2022-05-01 15:20:57,423 - mmseg - INFO - Iter [43700/80000] lr: 6.515e-07, eta: 19:35:59, time: 1.878, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3054, decode.loss_mask: 0.5151, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.3087, decode.d0.loss_mask: 0.5676, decode.d0.loss_dice: 0.8648, decode.d1.loss_cls: 0.3920, decode.d1.loss_mask: 0.5403, decode.d1.loss_dice: 0.8126, decode.d2.loss_cls: 0.3436, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.7823, decode.d3.loss_cls: 0.3218, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7703, decode.d4.loss_cls: 0.3222, decode.d4.loss_mask: 0.5214, decode.d4.loss_dice: 0.7684, decode.d5.loss_cls: 0.3127, decode.d5.loss_mask: 0.5189, decode.d5.loss_dice: 0.7637, decode.d6.loss_cls: 0.3128, decode.d6.loss_mask: 0.5146, decode.d6.loss_dice: 0.7523, decode.d7.loss_cls: 0.3071, decode.d7.loss_mask: 0.5170, decode.d7.loss_dice: 0.7613, decode.d8.loss_cls: 0.3065, decode.d8.loss_mask: 0.5174, decode.d8.loss_dice: 0.7627, loss: 17.2926 2022-05-01 15:22:32,472 - mmseg - INFO - Iter [43750/80000] lr: 6.506e-07, eta: 19:34:20, time: 1.902, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3002, decode.loss_mask: 0.5127, decode.loss_dice: 0.7546, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.5568, decode.d0.loss_dice: 0.8549, decode.d1.loss_cls: 0.3782, decode.d1.loss_mask: 0.5450, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.7972, decode.d3.loss_cls: 0.3157, decode.d3.loss_mask: 0.5228, decode.d3.loss_dice: 0.7750, decode.d4.loss_cls: 0.3133, decode.d4.loss_mask: 0.5154, decode.d4.loss_dice: 0.7663, decode.d5.loss_cls: 0.3011, decode.d5.loss_mask: 0.5167, decode.d5.loss_dice: 0.7674, decode.d6.loss_cls: 0.2978, decode.d6.loss_mask: 0.5150, decode.d6.loss_dice: 0.7591, decode.d7.loss_cls: 0.2937, decode.d7.loss_mask: 0.5137, decode.d7.loss_dice: 0.7606, decode.d8.loss_cls: 0.2966, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7608, loss: 17.1919 2022-05-01 15:24:07,128 - mmseg - INFO - Iter [43800/80000] lr: 6.497e-07, eta: 19:32:41, time: 1.891, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3055, decode.loss_mask: 0.5292, decode.loss_dice: 0.7742, decode.d0.loss_cls: 1.3177, decode.d0.loss_mask: 0.5768, decode.d0.loss_dice: 0.8776, decode.d1.loss_cls: 0.3890, decode.d1.loss_mask: 0.5545, decode.d1.loss_dice: 0.8435, decode.d2.loss_cls: 0.3415, decode.d2.loss_mask: 0.5363, decode.d2.loss_dice: 0.8015, decode.d3.loss_cls: 0.3290, decode.d3.loss_mask: 0.5307, decode.d3.loss_dice: 0.7844, decode.d4.loss_cls: 0.3176, decode.d4.loss_mask: 0.5317, decode.d4.loss_dice: 0.7857, decode.d5.loss_cls: 0.3109, decode.d5.loss_mask: 0.5324, decode.d5.loss_dice: 0.7797, decode.d6.loss_cls: 0.3116, decode.d6.loss_mask: 0.5277, decode.d6.loss_dice: 0.7756, decode.d7.loss_cls: 0.3087, decode.d7.loss_mask: 0.5286, decode.d7.loss_dice: 0.7748, decode.d8.loss_cls: 0.3074, decode.d8.loss_mask: 0.5301, decode.d8.loss_dice: 0.7766, loss: 17.5906 2022-05-01 15:25:40,208 - mmseg - INFO - Iter [43850/80000] lr: 6.488e-07, eta: 19:31:01, time: 1.863, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2987, decode.loss_mask: 0.5255, decode.loss_dice: 0.7807, decode.d0.loss_cls: 1.3504, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.8808, decode.d1.loss_cls: 0.3950, decode.d1.loss_mask: 0.5488, decode.d1.loss_dice: 0.8302, decode.d2.loss_cls: 0.3496, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.8010, decode.d3.loss_cls: 0.3286, decode.d3.loss_mask: 0.5305, decode.d3.loss_dice: 0.7871, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5295, decode.d4.loss_dice: 0.7885, decode.d5.loss_cls: 0.3063, decode.d5.loss_mask: 0.5284, decode.d5.loss_dice: 0.7892, decode.d6.loss_cls: 0.2985, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7849, decode.d7.loss_cls: 0.2974, decode.d7.loss_mask: 0.5246, decode.d7.loss_dice: 0.7842, decode.d8.loss_cls: 0.2965, decode.d8.loss_mask: 0.5252, decode.d8.loss_dice: 0.7844, loss: 17.6009 2022-05-01 15:27:14,412 - mmseg - INFO - Iter [43900/80000] lr: 6.479e-07, eta: 19:29:21, time: 1.884, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3165, decode.loss_mask: 0.5116, decode.loss_dice: 0.7772, decode.d0.loss_cls: 1.3698, decode.d0.loss_mask: 0.5615, decode.d0.loss_dice: 0.8896, decode.d1.loss_cls: 0.3982, decode.d1.loss_mask: 0.5381, decode.d1.loss_dice: 0.8336, decode.d2.loss_cls: 0.3579, decode.d2.loss_mask: 0.5271, decode.d2.loss_dice: 0.7984, decode.d3.loss_cls: 0.3378, decode.d3.loss_mask: 0.5203, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3205, decode.d4.loss_mask: 0.5195, decode.d4.loss_dice: 0.7942, decode.d5.loss_cls: 0.3228, decode.d5.loss_mask: 0.5180, decode.d5.loss_dice: 0.7913, decode.d6.loss_cls: 0.3204, decode.d6.loss_mask: 0.5157, decode.d6.loss_dice: 0.7774, decode.d7.loss_cls: 0.3198, decode.d7.loss_mask: 0.5145, decode.d7.loss_dice: 0.7821, decode.d8.loss_cls: 0.3156, decode.d8.loss_mask: 0.5140, decode.d8.loss_dice: 0.7821, loss: 17.6386 2022-05-01 15:28:49,606 - mmseg - INFO - Iter [43950/80000] lr: 6.470e-07, eta: 19:27:42, time: 1.903, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2936, decode.loss_mask: 0.5121, decode.loss_dice: 0.7447, decode.d0.loss_cls: 1.3148, decode.d0.loss_mask: 0.5683, decode.d0.loss_dice: 0.8542, decode.d1.loss_cls: 0.3809, decode.d1.loss_mask: 0.5450, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.3358, decode.d2.loss_mask: 0.5285, decode.d2.loss_dice: 0.7782, decode.d3.loss_cls: 0.3219, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7683, decode.d4.loss_cls: 0.3070, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7662, decode.d5.loss_cls: 0.2967, decode.d5.loss_mask: 0.5207, decode.d5.loss_dice: 0.7602, decode.d6.loss_cls: 0.2952, decode.d6.loss_mask: 0.5153, decode.d6.loss_dice: 0.7544, decode.d7.loss_cls: 0.2918, decode.d7.loss_mask: 0.5158, decode.d7.loss_dice: 0.7501, decode.d8.loss_cls: 0.2871, decode.d8.loss_mask: 0.5146, decode.d8.loss_dice: 0.7478, loss: 17.1122 2022-05-01 15:30:23,758 - mmseg - INFO - Saving checkpoint at 44000 iterations 2022-05-01 15:30:56,456 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 15:30:56,469 - mmseg - INFO - Iter [44000/80000] lr: 6.461e-07, eta: 19:26:29, time: 2.534, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2974, decode.loss_mask: 0.4957, decode.loss_dice: 0.7311, decode.d0.loss_cls: 1.3252, decode.d0.loss_mask: 0.5535, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3795, decode.d1.loss_mask: 0.5237, decode.d1.loss_dice: 0.7872, decode.d2.loss_cls: 0.3332, decode.d2.loss_mask: 0.5112, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.3127, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.7528, decode.d4.loss_cls: 0.3045, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7464, decode.d5.loss_cls: 0.3079, decode.d5.loss_mask: 0.4983, decode.d5.loss_dice: 0.7471, decode.d6.loss_cls: 0.2993, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2941, decode.d7.loss_mask: 0.4970, decode.d7.loss_dice: 0.7404, decode.d8.loss_cls: 0.2919, decode.d8.loss_mask: 0.4961, decode.d8.loss_dice: 0.7390, loss: 16.8179 2022-05-01 15:32:30,825 - mmseg - INFO - Iter [44050/80000] lr: 6.452e-07, eta: 19:24:50, time: 1.890, data_time: 0.020, memory: 64716, decode.loss_cls: 0.2983, decode.loss_mask: 0.5232, decode.loss_dice: 0.7755, decode.d0.loss_cls: 1.3250, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8751, decode.d1.loss_cls: 0.3943, decode.d1.loss_mask: 0.5446, decode.d1.loss_dice: 0.8249, decode.d2.loss_cls: 0.3434, decode.d2.loss_mask: 0.5335, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3215, decode.d3.loss_mask: 0.5278, decode.d3.loss_dice: 0.7840, decode.d4.loss_cls: 0.3158, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7834, decode.d5.loss_cls: 0.3099, decode.d5.loss_mask: 0.5233, decode.d5.loss_dice: 0.7790, decode.d6.loss_cls: 0.3038, decode.d6.loss_mask: 0.5243, decode.d6.loss_dice: 0.7776, decode.d7.loss_cls: 0.3023, decode.d7.loss_mask: 0.5240, decode.d7.loss_dice: 0.7786, decode.d8.loss_cls: 0.2952, decode.d8.loss_mask: 0.5230, decode.d8.loss_dice: 0.7780, loss: 17.4857 2022-05-01 15:34:05,733 - mmseg - INFO - Iter [44100/80000] lr: 6.443e-07, eta: 19:23:11, time: 1.899, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2951, decode.loss_mask: 0.5021, decode.loss_dice: 0.7658, decode.d0.loss_cls: 1.3036, decode.d0.loss_mask: 0.5467, decode.d0.loss_dice: 0.8670, decode.d1.loss_cls: 0.3818, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8188, decode.d2.loss_cls: 0.3425, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7949, decode.d3.loss_cls: 0.3179, decode.d3.loss_mask: 0.5089, decode.d3.loss_dice: 0.7807, decode.d4.loss_cls: 0.3092, decode.d4.loss_mask: 0.5057, decode.d4.loss_dice: 0.7753, decode.d5.loss_cls: 0.3064, decode.d5.loss_mask: 0.5073, decode.d5.loss_dice: 0.7716, decode.d6.loss_cls: 0.2965, decode.d6.loss_mask: 0.5061, decode.d6.loss_dice: 0.7661, decode.d7.loss_cls: 0.2982, decode.d7.loss_mask: 0.5027, decode.d7.loss_dice: 0.7620, decode.d8.loss_cls: 0.2899, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7667, loss: 17.1368 2022-05-01 15:35:39,933 - mmseg - INFO - Iter [44150/80000] lr: 6.434e-07, eta: 19:21:31, time: 1.883, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2943, decode.loss_mask: 0.5347, decode.loss_dice: 0.7912, decode.d0.loss_cls: 1.3565, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.8836, decode.d1.loss_cls: 0.3886, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3425, decode.d2.loss_mask: 0.5458, decode.d2.loss_dice: 0.8103, decode.d3.loss_cls: 0.3182, decode.d3.loss_mask: 0.5378, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3074, decode.d4.loss_mask: 0.5382, decode.d4.loss_dice: 0.7983, decode.d5.loss_cls: 0.3023, decode.d5.loss_mask: 0.5369, decode.d5.loss_dice: 0.7921, decode.d6.loss_cls: 0.2990, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.7831, decode.d7.loss_cls: 0.2951, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7889, decode.d8.loss_cls: 0.2947, decode.d8.loss_mask: 0.5351, decode.d8.loss_dice: 0.7861, loss: 17.7041 2022-05-01 15:37:14,782 - mmseg - INFO - Iter [44200/80000] lr: 6.425e-07, eta: 19:19:52, time: 1.897, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2942, decode.loss_mask: 0.5283, decode.loss_dice: 0.7599, decode.d0.loss_cls: 1.3270, decode.d0.loss_mask: 0.5721, decode.d0.loss_dice: 0.8568, decode.d1.loss_cls: 0.3789, decode.d1.loss_mask: 0.5498, decode.d1.loss_dice: 0.8105, decode.d2.loss_cls: 0.3373, decode.d2.loss_mask: 0.5385, decode.d2.loss_dice: 0.7888, decode.d3.loss_cls: 0.3126, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7702, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.5317, decode.d4.loss_dice: 0.7712, decode.d5.loss_cls: 0.2986, decode.d5.loss_mask: 0.5329, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.2912, decode.d6.loss_mask: 0.5314, decode.d6.loss_dice: 0.7619, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5327, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.2938, decode.d8.loss_mask: 0.5312, decode.d8.loss_dice: 0.7632, loss: 17.3323 2022-05-01 15:38:52,922 - mmseg - INFO - Iter [44250/80000] lr: 6.416e-07, eta: 19:18:15, time: 1.964, data_time: 0.065, memory: 64716, decode.loss_cls: 0.3156, decode.loss_mask: 0.5310, decode.loss_dice: 0.7702, decode.d0.loss_cls: 1.3235, decode.d0.loss_mask: 0.5882, decode.d0.loss_dice: 0.8768, decode.d1.loss_cls: 0.3912, decode.d1.loss_mask: 0.5619, decode.d1.loss_dice: 0.8349, decode.d2.loss_cls: 0.3553, decode.d2.loss_mask: 0.5446, decode.d2.loss_dice: 0.7940, decode.d3.loss_cls: 0.3381, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7796, decode.d4.loss_cls: 0.3258, decode.d4.loss_mask: 0.5398, decode.d4.loss_dice: 0.7851, decode.d5.loss_cls: 0.3212, decode.d5.loss_mask: 0.5346, decode.d5.loss_dice: 0.7740, decode.d6.loss_cls: 0.3158, decode.d6.loss_mask: 0.5308, decode.d6.loss_dice: 0.7664, decode.d7.loss_cls: 0.3129, decode.d7.loss_mask: 0.5321, decode.d7.loss_dice: 0.7680, decode.d8.loss_cls: 0.3125, decode.d8.loss_mask: 0.5319, decode.d8.loss_dice: 0.7719, loss: 17.6657 2022-05-01 15:40:27,172 - mmseg - INFO - Iter [44300/80000] lr: 6.407e-07, eta: 19:16:36, time: 1.885, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3040, decode.loss_mask: 0.5082, decode.loss_dice: 0.7449, decode.d0.loss_cls: 1.3108, decode.d0.loss_mask: 0.5614, decode.d0.loss_dice: 0.8547, decode.d1.loss_cls: 0.3905, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.8023, decode.d2.loss_cls: 0.3474, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.7631, decode.d3.loss_cls: 0.3267, decode.d3.loss_mask: 0.5124, decode.d3.loss_dice: 0.7519, decode.d4.loss_cls: 0.3135, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7517, decode.d5.loss_cls: 0.3099, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7474, decode.d6.loss_cls: 0.3021, decode.d6.loss_mask: 0.5113, decode.d6.loss_dice: 0.7454, decode.d7.loss_cls: 0.3004, decode.d7.loss_mask: 0.5115, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.2976, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7463, loss: 17.0551 2022-05-01 15:42:00,735 - mmseg - INFO - Iter [44350/80000] lr: 6.398e-07, eta: 19:14:56, time: 1.871, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2928, decode.loss_mask: 0.5089, decode.loss_dice: 0.7629, decode.d0.loss_cls: 1.3310, decode.d0.loss_mask: 0.5617, decode.d0.loss_dice: 0.8722, decode.d1.loss_cls: 0.3777, decode.d1.loss_mask: 0.5364, decode.d1.loss_dice: 0.8153, decode.d2.loss_cls: 0.3319, decode.d2.loss_mask: 0.5181, decode.d2.loss_dice: 0.7906, decode.d3.loss_cls: 0.3210, decode.d3.loss_mask: 0.5115, decode.d3.loss_dice: 0.7719, decode.d4.loss_cls: 0.3070, decode.d4.loss_mask: 0.5126, decode.d4.loss_dice: 0.7702, decode.d5.loss_cls: 0.3043, decode.d5.loss_mask: 0.5094, decode.d5.loss_dice: 0.7706, decode.d6.loss_cls: 0.2967, decode.d6.loss_mask: 0.5093, decode.d6.loss_dice: 0.7628, decode.d7.loss_cls: 0.2990, decode.d7.loss_mask: 0.5087, decode.d7.loss_dice: 0.7643, decode.d8.loss_cls: 0.2959, decode.d8.loss_mask: 0.5104, decode.d8.loss_dice: 0.7625, loss: 17.1875 2022-05-01 15:43:34,314 - mmseg - INFO - Iter [44400/80000] lr: 6.389e-07, eta: 19:13:16, time: 1.870, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3011, decode.loss_mask: 0.5313, decode.loss_dice: 0.7873, decode.d0.loss_cls: 1.3526, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.8997, decode.d1.loss_cls: 0.3969, decode.d1.loss_mask: 0.5540, decode.d1.loss_dice: 0.8477, decode.d2.loss_cls: 0.3458, decode.d2.loss_mask: 0.5368, decode.d2.loss_dice: 0.8155, decode.d3.loss_cls: 0.3280, decode.d3.loss_mask: 0.5341, decode.d3.loss_dice: 0.8032, decode.d4.loss_cls: 0.3148, decode.d4.loss_mask: 0.5329, decode.d4.loss_dice: 0.7989, decode.d5.loss_cls: 0.3174, decode.d5.loss_mask: 0.5314, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.3090, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3027, decode.d7.loss_mask: 0.5317, decode.d7.loss_dice: 0.7893, decode.d8.loss_cls: 0.3024, decode.d8.loss_mask: 0.5310, decode.d8.loss_dice: 0.7891, loss: 17.7793 2022-05-01 15:45:08,784 - mmseg - INFO - Iter [44450/80000] lr: 6.380e-07, eta: 19:11:36, time: 1.889, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3264, decode.loss_mask: 0.5264, decode.loss_dice: 0.7692, decode.d0.loss_cls: 1.3180, decode.d0.loss_mask: 0.5777, decode.d0.loss_dice: 0.8845, decode.d1.loss_cls: 0.4102, decode.d1.loss_mask: 0.5498, decode.d1.loss_dice: 0.8290, decode.d2.loss_cls: 0.3682, decode.d2.loss_mask: 0.5370, decode.d2.loss_dice: 0.7941, decode.d3.loss_cls: 0.3433, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7788, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5298, decode.d4.loss_dice: 0.7760, decode.d5.loss_cls: 0.3285, decode.d5.loss_mask: 0.5291, decode.d5.loss_dice: 0.7742, decode.d6.loss_cls: 0.3296, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.7682, decode.d7.loss_cls: 0.3217, decode.d7.loss_mask: 0.5283, decode.d7.loss_dice: 0.7703, decode.d8.loss_cls: 0.3254, decode.d8.loss_mask: 0.5295, decode.d8.loss_dice: 0.7740, loss: 17.6928 2022-05-01 15:46:44,038 - mmseg - INFO - Iter [44500/80000] lr: 6.372e-07, eta: 19:09:58, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2783, decode.loss_mask: 0.5195, decode.loss_dice: 0.7618, decode.d0.loss_cls: 1.3146, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8629, decode.d1.loss_cls: 0.3711, decode.d1.loss_mask: 0.5483, decode.d1.loss_dice: 0.8219, decode.d2.loss_cls: 0.3293, decode.d2.loss_mask: 0.5293, decode.d2.loss_dice: 0.7928, decode.d3.loss_cls: 0.3083, decode.d3.loss_mask: 0.5234, decode.d3.loss_dice: 0.7789, decode.d4.loss_cls: 0.2963, decode.d4.loss_mask: 0.5222, decode.d4.loss_dice: 0.7762, decode.d5.loss_cls: 0.2930, decode.d5.loss_mask: 0.5172, decode.d5.loss_dice: 0.7765, decode.d6.loss_cls: 0.2837, decode.d6.loss_mask: 0.5185, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.2825, decode.d7.loss_mask: 0.5181, decode.d7.loss_dice: 0.7666, decode.d8.loss_cls: 0.2839, decode.d8.loss_mask: 0.5190, decode.d8.loss_dice: 0.7712, loss: 17.2000 2022-05-01 15:48:18,402 - mmseg - INFO - Iter [44550/80000] lr: 6.363e-07, eta: 19:08:18, time: 1.887, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3152, decode.loss_mask: 0.5047, decode.loss_dice: 0.7732, decode.d0.loss_cls: 1.3360, decode.d0.loss_mask: 0.5523, decode.d0.loss_dice: 0.8758, decode.d1.loss_cls: 0.4037, decode.d1.loss_mask: 0.5298, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3646, decode.d2.loss_mask: 0.5164, decode.d2.loss_dice: 0.7997, decode.d3.loss_cls: 0.3414, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7824, decode.d4.loss_cls: 0.3330, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7745, decode.d5.loss_cls: 0.3206, decode.d5.loss_mask: 0.5097, decode.d5.loss_dice: 0.7768, decode.d6.loss_cls: 0.3217, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7723, decode.d7.loss_cls: 0.3150, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.3138, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7727, loss: 17.4381 2022-05-01 15:49:51,952 - mmseg - INFO - Iter [44600/80000] lr: 6.354e-07, eta: 19:06:38, time: 1.871, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2908, decode.loss_mask: 0.5337, decode.loss_dice: 0.7652, decode.d0.loss_cls: 1.3180, decode.d0.loss_mask: 0.5854, decode.d0.loss_dice: 0.8642, decode.d1.loss_cls: 0.3866, decode.d1.loss_mask: 0.5574, decode.d1.loss_dice: 0.8177, decode.d2.loss_cls: 0.3344, decode.d2.loss_mask: 0.5476, decode.d2.loss_dice: 0.7906, decode.d3.loss_cls: 0.3162, decode.d3.loss_mask: 0.5399, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.3060, decode.d4.loss_mask: 0.5377, decode.d4.loss_dice: 0.7734, decode.d5.loss_cls: 0.2995, decode.d5.loss_mask: 0.5372, decode.d5.loss_dice: 0.7719, decode.d6.loss_cls: 0.2924, decode.d6.loss_mask: 0.5344, decode.d6.loss_dice: 0.7639, decode.d7.loss_cls: 0.2929, decode.d7.loss_mask: 0.5336, decode.d7.loss_dice: 0.7695, decode.d8.loss_cls: 0.2887, decode.d8.loss_mask: 0.5346, decode.d8.loss_dice: 0.7701, loss: 17.4297 2022-05-01 15:51:25,920 - mmseg - INFO - Iter [44650/80000] lr: 6.345e-07, eta: 19:04:58, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2803, decode.loss_mask: 0.5187, decode.loss_dice: 0.7630, decode.d0.loss_cls: 1.2963, decode.d0.loss_mask: 0.5645, decode.d0.loss_dice: 0.8633, decode.d1.loss_cls: 0.3770, decode.d1.loss_mask: 0.5379, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3295, decode.d2.loss_mask: 0.5269, decode.d2.loss_dice: 0.7811, decode.d3.loss_cls: 0.3046, decode.d3.loss_mask: 0.5200, decode.d3.loss_dice: 0.7639, decode.d4.loss_cls: 0.2931, decode.d4.loss_mask: 0.5209, decode.d4.loss_dice: 0.7664, decode.d5.loss_cls: 0.2949, decode.d5.loss_mask: 0.5199, decode.d5.loss_dice: 0.7650, decode.d6.loss_cls: 0.2848, decode.d6.loss_mask: 0.5180, decode.d6.loss_dice: 0.7608, decode.d7.loss_cls: 0.2809, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7627, decode.d8.loss_cls: 0.2839, decode.d8.loss_mask: 0.5193, decode.d8.loss_dice: 0.7602, loss: 17.0816 2022-05-01 15:52:59,993 - mmseg - INFO - Iter [44700/80000] lr: 6.336e-07, eta: 19:03:19, time: 1.881, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3032, decode.loss_mask: 0.5016, decode.loss_dice: 0.7482, decode.d0.loss_cls: 1.3329, decode.d0.loss_mask: 0.5485, decode.d0.loss_dice: 0.8747, decode.d1.loss_cls: 0.3974, decode.d1.loss_mask: 0.5256, decode.d1.loss_dice: 0.8148, decode.d2.loss_cls: 0.3436, decode.d2.loss_mask: 0.5107, decode.d2.loss_dice: 0.7850, decode.d3.loss_cls: 0.3242, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7625, decode.d4.loss_cls: 0.3140, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7644, decode.d5.loss_cls: 0.3069, decode.d5.loss_mask: 0.5016, decode.d5.loss_dice: 0.7578, decode.d6.loss_cls: 0.3025, decode.d6.loss_mask: 0.5026, decode.d6.loss_dice: 0.7509, decode.d7.loss_cls: 0.3020, decode.d7.loss_mask: 0.5012, decode.d7.loss_dice: 0.7513, decode.d8.loss_cls: 0.3018, decode.d8.loss_mask: 0.5026, decode.d8.loss_dice: 0.7559, loss: 17.0987 2022-05-01 15:54:33,474 - mmseg - INFO - Iter [44750/80000] lr: 6.327e-07, eta: 19:01:39, time: 1.870, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3023, decode.loss_mask: 0.5323, decode.loss_dice: 0.7803, decode.d0.loss_cls: 1.3200, decode.d0.loss_mask: 0.5855, decode.d0.loss_dice: 0.8900, decode.d1.loss_cls: 0.3988, decode.d1.loss_mask: 0.5577, decode.d1.loss_dice: 0.8340, decode.d2.loss_cls: 0.3441, decode.d2.loss_mask: 0.5389, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3279, decode.d3.loss_mask: 0.5362, decode.d3.loss_dice: 0.7834, decode.d4.loss_cls: 0.3143, decode.d4.loss_mask: 0.5371, decode.d4.loss_dice: 0.7884, decode.d5.loss_cls: 0.3090, decode.d5.loss_mask: 0.5373, decode.d5.loss_dice: 0.7839, decode.d6.loss_cls: 0.2992, decode.d6.loss_mask: 0.5356, decode.d6.loss_dice: 0.7736, decode.d7.loss_cls: 0.2973, decode.d7.loss_mask: 0.5335, decode.d7.loss_dice: 0.7816, decode.d8.loss_cls: 0.3020, decode.d8.loss_mask: 0.5315, decode.d8.loss_dice: 0.7810, loss: 17.6365 2022-05-01 15:56:08,925 - mmseg - INFO - Iter [44800/80000] lr: 6.318e-07, eta: 19:00:00, time: 1.909, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2958, decode.loss_mask: 0.5249, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.3214, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.3809, decode.d1.loss_mask: 0.5526, decode.d1.loss_dice: 0.8292, decode.d2.loss_cls: 0.3344, decode.d2.loss_mask: 0.5365, decode.d2.loss_dice: 0.8006, decode.d3.loss_cls: 0.3181, decode.d3.loss_mask: 0.5296, decode.d3.loss_dice: 0.7860, decode.d4.loss_cls: 0.3056, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.7836, decode.d5.loss_cls: 0.3008, decode.d5.loss_mask: 0.5272, decode.d5.loss_dice: 0.7850, decode.d6.loss_cls: 0.2948, decode.d6.loss_mask: 0.5261, decode.d6.loss_dice: 0.7772, decode.d7.loss_cls: 0.2890, decode.d7.loss_mask: 0.5244, decode.d7.loss_dice: 0.7785, decode.d8.loss_cls: 0.2918, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.7756, loss: 17.4548 2022-05-01 15:57:42,848 - mmseg - INFO - Iter [44850/80000] lr: 6.309e-07, eta: 18:58:21, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2822, decode.loss_mask: 0.4978, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.3029, decode.d0.loss_mask: 0.5430, decode.d0.loss_dice: 0.8346, decode.d1.loss_cls: 0.3648, decode.d1.loss_mask: 0.5293, decode.d1.loss_dice: 0.7986, decode.d2.loss_cls: 0.3248, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7672, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5051, decode.d3.loss_dice: 0.7520, decode.d4.loss_cls: 0.2975, decode.d4.loss_mask: 0.5017, decode.d4.loss_dice: 0.7427, decode.d5.loss_cls: 0.2861, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7415, decode.d6.loss_cls: 0.2890, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2848, decode.d7.loss_mask: 0.4999, decode.d7.loss_dice: 0.7360, decode.d8.loss_cls: 0.2840, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7350, loss: 16.6898 2022-05-01 15:59:16,715 - mmseg - INFO - Iter [44900/80000] lr: 6.300e-07, eta: 18:56:41, time: 1.876, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2937, decode.loss_mask: 0.5192, decode.loss_dice: 0.7702, decode.d0.loss_cls: 1.3176, decode.d0.loss_mask: 0.5658, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3851, decode.d1.loss_mask: 0.5459, decode.d1.loss_dice: 0.8178, decode.d2.loss_cls: 0.3458, decode.d2.loss_mask: 0.5283, decode.d2.loss_dice: 0.7897, decode.d3.loss_cls: 0.3197, decode.d3.loss_mask: 0.5253, decode.d3.loss_dice: 0.7757, decode.d4.loss_cls: 0.3147, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.3143, decode.d5.loss_mask: 0.5235, decode.d5.loss_dice: 0.7731, decode.d6.loss_cls: 0.3017, decode.d6.loss_mask: 0.5200, decode.d6.loss_dice: 0.7663, decode.d7.loss_cls: 0.3021, decode.d7.loss_mask: 0.5204, decode.d7.loss_dice: 0.7691, decode.d8.loss_cls: 0.2975, decode.d8.loss_mask: 0.5200, decode.d8.loss_dice: 0.7682, loss: 17.3676 2022-05-01 16:00:50,793 - mmseg - INFO - Iter [44950/80000] lr: 6.291e-07, eta: 18:55:01, time: 1.881, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2838, decode.loss_mask: 0.5084, decode.loss_dice: 0.7571, decode.d0.loss_cls: 1.3302, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.8541, decode.d1.loss_cls: 0.3686, decode.d1.loss_mask: 0.5300, decode.d1.loss_dice: 0.8098, decode.d2.loss_cls: 0.3228, decode.d2.loss_mask: 0.5168, decode.d2.loss_dice: 0.7851, decode.d3.loss_cls: 0.3045, decode.d3.loss_mask: 0.5135, decode.d3.loss_dice: 0.7724, decode.d4.loss_cls: 0.2968, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7654, decode.d5.loss_cls: 0.2916, decode.d5.loss_mask: 0.5111, decode.d5.loss_dice: 0.7604, decode.d6.loss_cls: 0.2886, decode.d6.loss_mask: 0.5063, decode.d6.loss_dice: 0.7574, decode.d7.loss_cls: 0.2879, decode.d7.loss_mask: 0.5070, decode.d7.loss_dice: 0.7601, decode.d8.loss_cls: 0.2822, decode.d8.loss_mask: 0.5085, decode.d8.loss_dice: 0.7587, loss: 17.0003 2022-05-01 16:02:24,763 - mmseg - INFO - Saving checkpoint at 45000 iterations 2022-05-01 16:02:54,000 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 16:02:54,011 - mmseg - INFO - Iter [45000/80000] lr: 6.282e-07, eta: 18:53:44, time: 2.463, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2865, decode.loss_mask: 0.5387, decode.loss_dice: 0.7667, decode.d0.loss_cls: 1.3048, decode.d0.loss_mask: 0.5878, decode.d0.loss_dice: 0.8733, decode.d1.loss_cls: 0.3745, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8155, decode.d2.loss_cls: 0.3347, decode.d2.loss_mask: 0.5441, decode.d2.loss_dice: 0.7909, decode.d3.loss_cls: 0.3141, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.7735, decode.d4.loss_cls: 0.3063, decode.d4.loss_mask: 0.5432, decode.d4.loss_dice: 0.7751, decode.d5.loss_cls: 0.3007, decode.d5.loss_mask: 0.5397, decode.d5.loss_dice: 0.7682, decode.d6.loss_cls: 0.2952, decode.d6.loss_mask: 0.5396, decode.d6.loss_dice: 0.7586, decode.d7.loss_cls: 0.2900, decode.d7.loss_mask: 0.5407, decode.d7.loss_dice: 0.7689, decode.d8.loss_cls: 0.2876, decode.d8.loss_mask: 0.5392, decode.d8.loss_dice: 0.7646, loss: 17.4233 2022-05-01 16:04:29,068 - mmseg - INFO - Iter [45050/80000] lr: 6.273e-07, eta: 18:52:06, time: 1.905, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2767, decode.loss_mask: 0.5249, decode.loss_dice: 0.7645, decode.d0.loss_cls: 1.3005, decode.d0.loss_mask: 0.5682, decode.d0.loss_dice: 0.8647, decode.d1.loss_cls: 0.3664, decode.d1.loss_mask: 0.5494, decode.d1.loss_dice: 0.8223, decode.d2.loss_cls: 0.3287, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.7881, decode.d3.loss_cls: 0.3035, decode.d3.loss_mask: 0.5307, decode.d3.loss_dice: 0.7744, decode.d4.loss_cls: 0.2951, decode.d4.loss_mask: 0.5278, decode.d4.loss_dice: 0.7707, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.5290, decode.d5.loss_dice: 0.7710, decode.d6.loss_cls: 0.2864, decode.d6.loss_mask: 0.5258, decode.d6.loss_dice: 0.7612, decode.d7.loss_cls: 0.2803, decode.d7.loss_mask: 0.5246, decode.d7.loss_dice: 0.7646, decode.d8.loss_cls: 0.2783, decode.d8.loss_mask: 0.5250, decode.d8.loss_dice: 0.7672, loss: 17.1925 2022-05-01 16:06:02,756 - mmseg - INFO - Iter [45100/80000] lr: 6.264e-07, eta: 18:50:26, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2802, decode.loss_mask: 0.5161, decode.loss_dice: 0.7593, decode.d0.loss_cls: 1.2913, decode.d0.loss_mask: 0.5666, decode.d0.loss_dice: 0.8557, decode.d1.loss_cls: 0.3657, decode.d1.loss_mask: 0.5460, decode.d1.loss_dice: 0.8166, decode.d2.loss_cls: 0.3142, decode.d2.loss_mask: 0.5328, decode.d2.loss_dice: 0.7918, decode.d3.loss_cls: 0.3022, decode.d3.loss_mask: 0.5232, decode.d3.loss_dice: 0.7717, decode.d4.loss_cls: 0.2965, decode.d4.loss_mask: 0.5239, decode.d4.loss_dice: 0.7694, decode.d5.loss_cls: 0.2852, decode.d5.loss_mask: 0.5200, decode.d5.loss_dice: 0.7669, decode.d6.loss_cls: 0.2847, decode.d6.loss_mask: 0.5191, decode.d6.loss_dice: 0.7578, decode.d7.loss_cls: 0.2831, decode.d7.loss_mask: 0.5184, decode.d7.loss_dice: 0.7599, decode.d8.loss_cls: 0.2784, decode.d8.loss_mask: 0.5174, decode.d8.loss_dice: 0.7585, loss: 17.0725 2022-05-01 16:07:38,590 - mmseg - INFO - Iter [45150/80000] lr: 6.255e-07, eta: 18:48:47, time: 1.916, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3119, decode.loss_mask: 0.5299, decode.loss_dice: 0.7885, decode.d0.loss_cls: 1.3639, decode.d0.loss_mask: 0.5710, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.4028, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8381, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.3296, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7953, decode.d4.loss_cls: 0.3228, decode.d4.loss_mask: 0.5348, decode.d4.loss_dice: 0.7928, decode.d5.loss_cls: 0.3122, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7895, decode.d6.loss_cls: 0.3045, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7853, decode.d7.loss_cls: 0.3061, decode.d7.loss_mask: 0.5329, decode.d7.loss_dice: 0.7858, decode.d8.loss_cls: 0.3073, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.7835, loss: 17.7524 2022-05-01 16:09:11,958 - mmseg - INFO - Iter [45200/80000] lr: 6.246e-07, eta: 18:47:07, time: 1.868, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2899, decode.loss_mask: 0.5116, decode.loss_dice: 0.7614, decode.d0.loss_cls: 1.2966, decode.d0.loss_mask: 0.5599, decode.d0.loss_dice: 0.8528, decode.d1.loss_cls: 0.3735, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8098, decode.d2.loss_cls: 0.3283, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7850, decode.d3.loss_cls: 0.3114, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.2979, decode.d4.loss_mask: 0.5154, decode.d4.loss_dice: 0.7689, decode.d5.loss_cls: 0.2934, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7666, decode.d6.loss_cls: 0.2918, decode.d6.loss_mask: 0.5114, decode.d6.loss_dice: 0.7549, decode.d7.loss_cls: 0.2896, decode.d7.loss_mask: 0.5105, decode.d7.loss_dice: 0.7593, decode.d8.loss_cls: 0.2912, decode.d8.loss_mask: 0.5120, decode.d8.loss_dice: 0.7592, loss: 17.0670 2022-05-01 16:10:46,784 - mmseg - INFO - Iter [45250/80000] lr: 6.237e-07, eta: 18:45:28, time: 1.896, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2989, decode.loss_mask: 0.5131, decode.loss_dice: 0.7644, decode.d0.loss_cls: 1.3402, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8707, decode.d1.loss_cls: 0.3862, decode.d1.loss_mask: 0.5395, decode.d1.loss_dice: 0.8296, decode.d2.loss_cls: 0.3424, decode.d2.loss_mask: 0.5275, decode.d2.loss_dice: 0.7986, decode.d3.loss_cls: 0.3231, decode.d3.loss_mask: 0.5216, decode.d3.loss_dice: 0.7839, decode.d4.loss_cls: 0.3139, decode.d4.loss_mask: 0.5189, decode.d4.loss_dice: 0.7794, decode.d5.loss_cls: 0.3083, decode.d5.loss_mask: 0.5177, decode.d5.loss_dice: 0.7760, decode.d6.loss_cls: 0.3042, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.7677, decode.d7.loss_cls: 0.2963, decode.d7.loss_mask: 0.5182, decode.d7.loss_dice: 0.7719, decode.d8.loss_cls: 0.2992, decode.d8.loss_mask: 0.5154, decode.d8.loss_dice: 0.7718, loss: 17.3763 2022-05-01 16:12:21,358 - mmseg - INFO - Iter [45300/80000] lr: 6.228e-07, eta: 18:43:49, time: 1.892, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2754, decode.loss_mask: 0.5154, decode.loss_dice: 0.7403, decode.d0.loss_cls: 1.2955, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3668, decode.d1.loss_mask: 0.5339, decode.d1.loss_dice: 0.7909, decode.d2.loss_cls: 0.3165, decode.d2.loss_mask: 0.5206, decode.d2.loss_dice: 0.7701, decode.d3.loss_cls: 0.2898, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7548, decode.d4.loss_cls: 0.2903, decode.d4.loss_mask: 0.5201, decode.d4.loss_dice: 0.7509, decode.d5.loss_cls: 0.2891, decode.d5.loss_mask: 0.5175, decode.d5.loss_dice: 0.7452, decode.d6.loss_cls: 0.2819, decode.d6.loss_mask: 0.5173, decode.d6.loss_dice: 0.7423, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.5146, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2795, decode.d8.loss_mask: 0.5148, decode.d8.loss_dice: 0.7376, loss: 16.8078 2022-05-01 16:13:56,847 - mmseg - INFO - Iter [45350/80000] lr: 6.219e-07, eta: 18:42:11, time: 1.908, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3018, decode.loss_mask: 0.5342, decode.loss_dice: 0.7748, decode.d0.loss_cls: 1.3371, decode.d0.loss_mask: 0.5832, decode.d0.loss_dice: 0.8774, decode.d1.loss_cls: 0.3848, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8313, decode.d2.loss_cls: 0.3439, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.7964, decode.d3.loss_cls: 0.3234, decode.d3.loss_mask: 0.5411, decode.d3.loss_dice: 0.7833, decode.d4.loss_cls: 0.3101, decode.d4.loss_mask: 0.5400, decode.d4.loss_dice: 0.7844, decode.d5.loss_cls: 0.3089, decode.d5.loss_mask: 0.5387, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.3012, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.7722, decode.d7.loss_cls: 0.3091, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7755, decode.d8.loss_cls: 0.3041, decode.d8.loss_mask: 0.5347, decode.d8.loss_dice: 0.7761, loss: 17.6279 2022-05-01 16:15:31,495 - mmseg - INFO - Iter [45400/80000] lr: 6.210e-07, eta: 18:40:32, time: 1.893, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2955, decode.loss_mask: 0.5090, decode.loss_dice: 0.7587, decode.d0.loss_cls: 1.3217, decode.d0.loss_mask: 0.5565, decode.d0.loss_dice: 0.8549, decode.d1.loss_cls: 0.3758, decode.d1.loss_mask: 0.5342, decode.d1.loss_dice: 0.8136, decode.d2.loss_cls: 0.3380, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7790, decode.d3.loss_cls: 0.3196, decode.d3.loss_mask: 0.5154, decode.d3.loss_dice: 0.7682, decode.d4.loss_cls: 0.3083, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7667, decode.d5.loss_cls: 0.3088, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7658, decode.d6.loss_cls: 0.2988, decode.d6.loss_mask: 0.5108, decode.d6.loss_dice: 0.7588, decode.d7.loss_cls: 0.2956, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7609, decode.d8.loss_cls: 0.2970, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7593, loss: 17.1418 2022-05-01 16:17:06,733 - mmseg - INFO - Iter [45450/80000] lr: 6.201e-07, eta: 18:38:53, time: 1.906, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2869, decode.loss_mask: 0.5363, decode.loss_dice: 0.7752, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5924, decode.d0.loss_dice: 0.8804, decode.d1.loss_cls: 0.3694, decode.d1.loss_mask: 0.5606, decode.d1.loss_dice: 0.8284, decode.d2.loss_cls: 0.3327, decode.d2.loss_mask: 0.5471, decode.d2.loss_dice: 0.8028, decode.d3.loss_cls: 0.3118, decode.d3.loss_mask: 0.5407, decode.d3.loss_dice: 0.7886, decode.d4.loss_cls: 0.3031, decode.d4.loss_mask: 0.5397, decode.d4.loss_dice: 0.7867, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5350, decode.d5.loss_dice: 0.7814, decode.d6.loss_cls: 0.2901, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.7752, decode.d7.loss_cls: 0.2891, decode.d7.loss_mask: 0.5363, decode.d7.loss_dice: 0.7780, decode.d8.loss_cls: 0.2881, decode.d8.loss_mask: 0.5339, decode.d8.loss_dice: 0.7766, loss: 17.5159 2022-05-01 16:18:41,040 - mmseg - INFO - Iter [45500/80000] lr: 6.192e-07, eta: 18:37:14, time: 1.886, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2907, decode.loss_mask: 0.4954, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.3288, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.8449, decode.d1.loss_cls: 0.3771, decode.d1.loss_mask: 0.5200, decode.d1.loss_dice: 0.8027, decode.d2.loss_cls: 0.3339, decode.d2.loss_mask: 0.5053, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.3141, decode.d3.loss_mask: 0.4995, decode.d3.loss_dice: 0.7456, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5010, decode.d4.loss_dice: 0.7521, decode.d5.loss_cls: 0.3026, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7511, decode.d6.loss_cls: 0.2953, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7432, decode.d7.loss_cls: 0.2965, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7422, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.4956, decode.d8.loss_dice: 0.7383, loss: 16.8038 2022-05-01 16:20:19,978 - mmseg - INFO - Iter [45550/80000] lr: 6.183e-07, eta: 18:35:38, time: 1.979, data_time: 0.064, memory: 64716, decode.loss_cls: 0.2874, decode.loss_mask: 0.5262, decode.loss_dice: 0.7609, decode.d0.loss_cls: 1.3455, decode.d0.loss_mask: 0.5776, decode.d0.loss_dice: 0.8590, decode.d1.loss_cls: 0.3712, decode.d1.loss_mask: 0.5505, decode.d1.loss_dice: 0.8230, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5402, decode.d2.loss_dice: 0.7833, decode.d3.loss_cls: 0.3172, decode.d3.loss_mask: 0.5294, decode.d3.loss_dice: 0.7726, decode.d4.loss_cls: 0.3095, decode.d4.loss_mask: 0.5243, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.3007, decode.d5.loss_mask: 0.5288, decode.d5.loss_dice: 0.7654, decode.d6.loss_cls: 0.2962, decode.d6.loss_mask: 0.5259, decode.d6.loss_dice: 0.7618, decode.d7.loss_cls: 0.2920, decode.d7.loss_mask: 0.5257, decode.d7.loss_dice: 0.7609, decode.d8.loss_cls: 0.2863, decode.d8.loss_mask: 0.5244, decode.d8.loss_dice: 0.7607, loss: 17.3030 2022-05-01 16:21:54,503 - mmseg - INFO - Iter [45600/80000] lr: 6.174e-07, eta: 18:33:59, time: 1.891, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2823, decode.loss_mask: 0.5227, decode.loss_dice: 0.7508, decode.d0.loss_cls: 1.3392, decode.d0.loss_mask: 0.5697, decode.d0.loss_dice: 0.8554, decode.d1.loss_cls: 0.3824, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8107, decode.d2.loss_cls: 0.3294, decode.d2.loss_mask: 0.5326, decode.d2.loss_dice: 0.7767, decode.d3.loss_cls: 0.3139, decode.d3.loss_mask: 0.5249, decode.d3.loss_dice: 0.7615, decode.d4.loss_cls: 0.3008, decode.d4.loss_mask: 0.5262, decode.d4.loss_dice: 0.7604, decode.d5.loss_cls: 0.2986, decode.d5.loss_mask: 0.5263, decode.d5.loss_dice: 0.7611, decode.d6.loss_cls: 0.2861, decode.d6.loss_mask: 0.5219, decode.d6.loss_dice: 0.7552, decode.d7.loss_cls: 0.2858, decode.d7.loss_mask: 0.5251, decode.d7.loss_dice: 0.7544, decode.d8.loss_cls: 0.2856, decode.d8.loss_mask: 0.5212, decode.d8.loss_dice: 0.7524, loss: 17.1649 2022-05-01 16:23:30,162 - mmseg - INFO - Iter [45650/80000] lr: 6.165e-07, eta: 18:32:21, time: 1.913, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2707, decode.loss_mask: 0.5235, decode.loss_dice: 0.7489, decode.d0.loss_cls: 1.2856, decode.d0.loss_mask: 0.5715, decode.d0.loss_dice: 0.8555, decode.d1.loss_cls: 0.3614, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.8091, decode.d2.loss_cls: 0.3115, decode.d2.loss_mask: 0.5384, decode.d2.loss_dice: 0.7719, decode.d3.loss_cls: 0.2944, decode.d3.loss_mask: 0.5302, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.2805, decode.d4.loss_mask: 0.5282, decode.d4.loss_dice: 0.7573, decode.d5.loss_cls: 0.2826, decode.d5.loss_mask: 0.5289, decode.d5.loss_dice: 0.7539, decode.d6.loss_cls: 0.2717, decode.d6.loss_mask: 0.5231, decode.d6.loss_dice: 0.7530, decode.d7.loss_cls: 0.2719, decode.d7.loss_mask: 0.5210, decode.d7.loss_dice: 0.7483, decode.d8.loss_cls: 0.2711, decode.d8.loss_mask: 0.5227, decode.d8.loss_dice: 0.7476, loss: 16.9403 2022-05-01 16:25:04,506 - mmseg - INFO - Iter [45700/80000] lr: 6.156e-07, eta: 18:30:41, time: 1.887, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2757, decode.loss_mask: 0.5139, decode.loss_dice: 0.7445, decode.d0.loss_cls: 1.3234, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3786, decode.d1.loss_mask: 0.5360, decode.d1.loss_dice: 0.7974, decode.d2.loss_cls: 0.3208, decode.d2.loss_mask: 0.5278, decode.d2.loss_dice: 0.7747, decode.d3.loss_cls: 0.3034, decode.d3.loss_mask: 0.5190, decode.d3.loss_dice: 0.7551, decode.d4.loss_cls: 0.2943, decode.d4.loss_mask: 0.5173, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.2841, decode.d5.loss_mask: 0.5176, decode.d5.loss_dice: 0.7510, decode.d6.loss_cls: 0.2803, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.2771, decode.d7.loss_mask: 0.5148, decode.d7.loss_dice: 0.7426, decode.d8.loss_cls: 0.2777, decode.d8.loss_mask: 0.5137, decode.d8.loss_dice: 0.7424, loss: 16.9073 2022-05-01 16:26:40,520 - mmseg - INFO - Iter [45750/80000] lr: 6.147e-07, eta: 18:29:03, time: 1.920, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2651, decode.loss_mask: 0.5147, decode.loss_dice: 0.7345, decode.d0.loss_cls: 1.2310, decode.d0.loss_mask: 0.5616, decode.d0.loss_dice: 0.8324, decode.d1.loss_cls: 0.3424, decode.d1.loss_mask: 0.5379, decode.d1.loss_dice: 0.7880, decode.d2.loss_cls: 0.3029, decode.d2.loss_mask: 0.5257, decode.d2.loss_dice: 0.7660, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7501, decode.d4.loss_cls: 0.2744, decode.d4.loss_mask: 0.5186, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2700, decode.d5.loss_mask: 0.5180, decode.d5.loss_dice: 0.7447, decode.d6.loss_cls: 0.2674, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7357, decode.d7.loss_cls: 0.2676, decode.d7.loss_mask: 0.5147, decode.d7.loss_dice: 0.7377, decode.d8.loss_cls: 0.2630, decode.d8.loss_mask: 0.5155, decode.d8.loss_dice: 0.7388, loss: 16.5839 2022-05-01 16:28:14,745 - mmseg - INFO - Iter [45800/80000] lr: 6.138e-07, eta: 18:27:24, time: 1.884, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2723, decode.loss_mask: 0.5039, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.2957, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8442, decode.d1.loss_cls: 0.3645, decode.d1.loss_mask: 0.5300, decode.d1.loss_dice: 0.8019, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5147, decode.d2.loss_dice: 0.7710, decode.d3.loss_cls: 0.3070, decode.d3.loss_mask: 0.5085, decode.d3.loss_dice: 0.7612, decode.d4.loss_cls: 0.2940, decode.d4.loss_mask: 0.5071, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2902, decode.d5.loss_mask: 0.5054, decode.d5.loss_dice: 0.7500, decode.d6.loss_cls: 0.2801, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7473, decode.d7.loss_cls: 0.2755, decode.d7.loss_mask: 0.5042, decode.d7.loss_dice: 0.7506, decode.d8.loss_cls: 0.2732, decode.d8.loss_mask: 0.5059, decode.d8.loss_dice: 0.7507, loss: 16.7829 2022-05-01 16:29:49,228 - mmseg - INFO - Iter [45850/80000] lr: 6.129e-07, eta: 18:25:45, time: 1.890, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2900, decode.loss_mask: 0.5116, decode.loss_dice: 0.7326, decode.d0.loss_cls: 1.3170, decode.d0.loss_mask: 0.5571, decode.d0.loss_dice: 0.8300, decode.d1.loss_cls: 0.3827, decode.d1.loss_mask: 0.5363, decode.d1.loss_dice: 0.7807, decode.d2.loss_cls: 0.3353, decode.d2.loss_mask: 0.5229, decode.d2.loss_dice: 0.7599, decode.d3.loss_cls: 0.3223, decode.d3.loss_mask: 0.5151, decode.d3.loss_dice: 0.7408, decode.d4.loss_cls: 0.3093, decode.d4.loss_mask: 0.5172, decode.d4.loss_dice: 0.7441, decode.d5.loss_cls: 0.3066, decode.d5.loss_mask: 0.5141, decode.d5.loss_dice: 0.7411, decode.d6.loss_cls: 0.2945, decode.d6.loss_mask: 0.5119, decode.d6.loss_dice: 0.7348, decode.d7.loss_cls: 0.2949, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7344, decode.d8.loss_cls: 0.2917, decode.d8.loss_mask: 0.5105, decode.d8.loss_dice: 0.7330, loss: 16.8840 2022-05-01 16:31:24,699 - mmseg - INFO - Iter [45900/80000] lr: 6.120e-07, eta: 18:24:07, time: 1.911, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3035, decode.loss_mask: 0.5251, decode.loss_dice: 0.7712, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.5794, decode.d0.loss_dice: 0.8837, decode.d1.loss_cls: 0.4012, decode.d1.loss_mask: 0.5465, decode.d1.loss_dice: 0.8281, decode.d2.loss_cls: 0.3480, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.7951, decode.d3.loss_cls: 0.3281, decode.d3.loss_mask: 0.5317, decode.d3.loss_dice: 0.7860, decode.d4.loss_cls: 0.3178, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7829, decode.d5.loss_cls: 0.3140, decode.d5.loss_mask: 0.5278, decode.d5.loss_dice: 0.7839, decode.d6.loss_cls: 0.3001, decode.d6.loss_mask: 0.5271, decode.d6.loss_dice: 0.7767, decode.d7.loss_cls: 0.3001, decode.d7.loss_mask: 0.5264, decode.d7.loss_dice: 0.7779, decode.d8.loss_cls: 0.2993, decode.d8.loss_mask: 0.5269, decode.d8.loss_dice: 0.7749, loss: 17.5578 2022-05-01 16:33:00,835 - mmseg - INFO - Iter [45950/80000] lr: 6.111e-07, eta: 18:22:29, time: 1.923, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2744, decode.loss_mask: 0.5053, decode.loss_dice: 0.7549, decode.d0.loss_cls: 1.3133, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8642, decode.d1.loss_cls: 0.3645, decode.d1.loss_mask: 0.5247, decode.d1.loss_dice: 0.8111, decode.d2.loss_cls: 0.3201, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7790, decode.d3.loss_cls: 0.3002, decode.d3.loss_mask: 0.5071, decode.d3.loss_dice: 0.7674, decode.d4.loss_cls: 0.2902, decode.d4.loss_mask: 0.5059, decode.d4.loss_dice: 0.7644, decode.d5.loss_cls: 0.2881, decode.d5.loss_mask: 0.5069, decode.d5.loss_dice: 0.7634, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.5059, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.5067, decode.d7.loss_dice: 0.7581, decode.d8.loss_cls: 0.2797, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7547, loss: 16.8949 2022-05-01 16:34:36,625 - mmseg - INFO - Saving checkpoint at 46000 iterations 2022-05-01 16:34:55,172 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 16:34:55,172 - mmseg - INFO - Iter [46000/80000] lr: 6.102e-07, eta: 18:21:04, time: 2.287, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2755, decode.loss_mask: 0.5052, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5562, decode.d0.loss_dice: 0.8376, decode.d1.loss_cls: 0.3603, decode.d1.loss_mask: 0.5309, decode.d1.loss_dice: 0.7947, decode.d2.loss_cls: 0.3164, decode.d2.loss_mask: 0.5154, decode.d2.loss_dice: 0.7572, decode.d3.loss_cls: 0.2949, decode.d3.loss_mask: 0.5116, decode.d3.loss_dice: 0.7457, decode.d4.loss_cls: 0.2889, decode.d4.loss_mask: 0.5079, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2831, decode.d5.loss_mask: 0.5080, decode.d5.loss_dice: 0.7393, decode.d6.loss_cls: 0.2786, decode.d6.loss_mask: 0.5071, decode.d6.loss_dice: 0.7336, decode.d7.loss_cls: 0.2784, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7303, decode.d8.loss_cls: 0.2747, decode.d8.loss_mask: 0.5069, decode.d8.loss_dice: 0.7353, loss: 16.6771 2022-05-01 16:36:31,266 - mmseg - INFO - Iter [46050/80000] lr: 6.093e-07, eta: 18:19:26, time: 1.922, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2775, decode.loss_mask: 0.5174, decode.loss_dice: 0.7529, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8545, decode.d1.loss_cls: 0.3659, decode.d1.loss_mask: 0.5476, decode.d1.loss_dice: 0.8107, decode.d2.loss_cls: 0.3224, decode.d2.loss_mask: 0.5323, decode.d2.loss_dice: 0.7805, decode.d3.loss_cls: 0.3005, decode.d3.loss_mask: 0.5268, decode.d3.loss_dice: 0.7587, decode.d4.loss_cls: 0.3031, decode.d4.loss_mask: 0.5216, decode.d4.loss_dice: 0.7578, decode.d5.loss_cls: 0.2917, decode.d5.loss_mask: 0.5173, decode.d5.loss_dice: 0.7521, decode.d6.loss_cls: 0.2846, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7479, decode.d7.loss_cls: 0.2836, decode.d7.loss_mask: 0.5163, decode.d7.loss_dice: 0.7491, decode.d8.loss_cls: 0.2806, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7515, loss: 16.9834 2022-05-01 16:38:06,006 - mmseg - INFO - Iter [46100/80000] lr: 6.084e-07, eta: 18:17:47, time: 1.894, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2806, decode.loss_mask: 0.4878, decode.loss_dice: 0.7186, decode.d0.loss_cls: 1.3350, decode.d0.loss_mask: 0.5299, decode.d0.loss_dice: 0.8232, decode.d1.loss_cls: 0.3709, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7696, decode.d2.loss_cls: 0.3182, decode.d2.loss_mask: 0.4980, decode.d2.loss_dice: 0.7400, decode.d3.loss_cls: 0.3041, decode.d3.loss_mask: 0.4902, decode.d3.loss_dice: 0.7290, decode.d4.loss_cls: 0.2930, decode.d4.loss_mask: 0.4910, decode.d4.loss_dice: 0.7288, decode.d5.loss_cls: 0.2876, decode.d5.loss_mask: 0.4911, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2764, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7180, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.4867, decode.d7.loss_dice: 0.7189, decode.d8.loss_cls: 0.2808, decode.d8.loss_mask: 0.4857, decode.d8.loss_dice: 0.7151, loss: 16.3698 2022-05-01 16:39:41,225 - mmseg - INFO - Iter [46150/80000] lr: 6.075e-07, eta: 18:16:09, time: 1.905, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2901, decode.loss_mask: 0.5068, decode.loss_dice: 0.7501, decode.d0.loss_cls: 1.3408, decode.d0.loss_mask: 0.5527, decode.d0.loss_dice: 0.8596, decode.d1.loss_cls: 0.3765, decode.d1.loss_mask: 0.5322, decode.d1.loss_dice: 0.8089, decode.d2.loss_cls: 0.3266, decode.d2.loss_mask: 0.5178, decode.d2.loss_dice: 0.7782, decode.d3.loss_cls: 0.3066, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7581, decode.d4.loss_cls: 0.2937, decode.d4.loss_mask: 0.5140, decode.d4.loss_dice: 0.7611, decode.d5.loss_cls: 0.2951, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7569, decode.d6.loss_cls: 0.2906, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7527, decode.d7.loss_cls: 0.2909, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7500, decode.d8.loss_cls: 0.2913, decode.d8.loss_mask: 0.5085, decode.d8.loss_dice: 0.7565, loss: 17.0091 2022-05-01 16:41:15,615 - mmseg - INFO - Iter [46200/80000] lr: 6.066e-07, eta: 18:14:30, time: 1.888, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2823, decode.loss_mask: 0.5151, decode.loss_dice: 0.7610, decode.d0.loss_cls: 1.3026, decode.d0.loss_mask: 0.5692, decode.d0.loss_dice: 0.8686, decode.d1.loss_cls: 0.3781, decode.d1.loss_mask: 0.5393, decode.d1.loss_dice: 0.8207, decode.d2.loss_cls: 0.3340, decode.d2.loss_mask: 0.5257, decode.d2.loss_dice: 0.7876, decode.d3.loss_cls: 0.3122, decode.d3.loss_mask: 0.5176, decode.d3.loss_dice: 0.7756, decode.d4.loss_cls: 0.2988, decode.d4.loss_mask: 0.5161, decode.d4.loss_dice: 0.7700, decode.d5.loss_cls: 0.2956, decode.d5.loss_mask: 0.5166, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.2915, decode.d6.loss_mask: 0.5131, decode.d6.loss_dice: 0.7621, decode.d7.loss_cls: 0.2861, decode.d7.loss_mask: 0.5144, decode.d7.loss_dice: 0.7638, decode.d8.loss_cls: 0.2840, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7625, loss: 17.1488 2022-05-01 16:42:50,431 - mmseg - INFO - Iter [46250/80000] lr: 6.057e-07, eta: 18:12:51, time: 1.897, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3130, decode.loss_mask: 0.5184, decode.loss_dice: 0.7656, decode.d0.loss_cls: 1.3732, decode.d0.loss_mask: 0.5621, decode.d0.loss_dice: 0.8864, decode.d1.loss_cls: 0.4123, decode.d1.loss_mask: 0.5451, decode.d1.loss_dice: 0.8231, decode.d2.loss_cls: 0.3625, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.7937, decode.d3.loss_cls: 0.3315, decode.d3.loss_mask: 0.5263, decode.d3.loss_dice: 0.7768, decode.d4.loss_cls: 0.3261, decode.d4.loss_mask: 0.5263, decode.d4.loss_dice: 0.7807, decode.d5.loss_cls: 0.3227, decode.d5.loss_mask: 0.5228, decode.d5.loss_dice: 0.7754, decode.d6.loss_cls: 0.3163, decode.d6.loss_mask: 0.5208, decode.d6.loss_dice: 0.7710, decode.d7.loss_cls: 0.3110, decode.d7.loss_mask: 0.5185, decode.d7.loss_dice: 0.7718, decode.d8.loss_cls: 0.3098, decode.d8.loss_mask: 0.5183, decode.d8.loss_dice: 0.7717, loss: 17.5833 2022-05-01 16:44:24,607 - mmseg - INFO - Iter [46300/80000] lr: 6.048e-07, eta: 18:11:11, time: 1.883, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2800, decode.loss_mask: 0.5082, decode.loss_dice: 0.7729, decode.d0.loss_cls: 1.3325, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8629, decode.d1.loss_cls: 0.3758, decode.d1.loss_mask: 0.5263, decode.d1.loss_dice: 0.8172, decode.d2.loss_cls: 0.3203, decode.d2.loss_mask: 0.5149, decode.d2.loss_dice: 0.7936, decode.d3.loss_cls: 0.3068, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7803, decode.d4.loss_cls: 0.2941, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7801, decode.d5.loss_cls: 0.2894, decode.d5.loss_mask: 0.5087, decode.d5.loss_dice: 0.7761, decode.d6.loss_cls: 0.2846, decode.d6.loss_mask: 0.5083, decode.d6.loss_dice: 0.7730, decode.d7.loss_cls: 0.2800, decode.d7.loss_mask: 0.5099, decode.d7.loss_dice: 0.7726, decode.d8.loss_cls: 0.2819, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7712, loss: 17.1016 2022-05-01 16:45:59,463 - mmseg - INFO - Iter [46350/80000] lr: 6.039e-07, eta: 18:09:33, time: 1.897, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2887, decode.loss_mask: 0.4983, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.3252, decode.d0.loss_mask: 0.5421, decode.d0.loss_dice: 0.8615, decode.d1.loss_cls: 0.3825, decode.d1.loss_mask: 0.5222, decode.d1.loss_dice: 0.8032, decode.d2.loss_cls: 0.3403, decode.d2.loss_mask: 0.5045, decode.d2.loss_dice: 0.7757, decode.d3.loss_cls: 0.3202, decode.d3.loss_mask: 0.5009, decode.d3.loss_dice: 0.7624, decode.d4.loss_cls: 0.3074, decode.d4.loss_mask: 0.5002, decode.d4.loss_dice: 0.7570, decode.d5.loss_cls: 0.2972, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7548, decode.d6.loss_cls: 0.2903, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7486, decode.d7.loss_cls: 0.2918, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7514, decode.d8.loss_cls: 0.2941, decode.d8.loss_mask: 0.4979, decode.d8.loss_dice: 0.7504, loss: 16.9208 2022-05-01 16:47:33,220 - mmseg - INFO - Iter [46400/80000] lr: 6.031e-07, eta: 18:07:53, time: 1.876, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2845, decode.loss_mask: 0.5217, decode.loss_dice: 0.7715, decode.d0.loss_cls: 1.3303, decode.d0.loss_mask: 0.5747, decode.d0.loss_dice: 0.8776, decode.d1.loss_cls: 0.3775, decode.d1.loss_mask: 0.5449, decode.d1.loss_dice: 0.8267, decode.d2.loss_cls: 0.3264, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.8027, decode.d3.loss_cls: 0.3108, decode.d3.loss_mask: 0.5284, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.3006, decode.d4.loss_mask: 0.5273, decode.d4.loss_dice: 0.7833, decode.d5.loss_cls: 0.2967, decode.d5.loss_mask: 0.5270, decode.d5.loss_dice: 0.7824, decode.d6.loss_cls: 0.2880, decode.d6.loss_mask: 0.5257, decode.d6.loss_dice: 0.7720, decode.d7.loss_cls: 0.2876, decode.d7.loss_mask: 0.5250, decode.d7.loss_dice: 0.7782, decode.d8.loss_cls: 0.2873, decode.d8.loss_mask: 0.5234, decode.d8.loss_dice: 0.7680, loss: 17.3683 2022-05-01 16:49:08,308 - mmseg - INFO - Iter [46450/80000] lr: 6.022e-07, eta: 18:06:15, time: 1.902, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2765, decode.loss_mask: 0.5128, decode.loss_dice: 0.7715, decode.d0.loss_cls: 1.2793, decode.d0.loss_mask: 0.5562, decode.d0.loss_dice: 0.8745, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.5330, decode.d1.loss_dice: 0.8271, decode.d2.loss_cls: 0.3132, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.7927, decode.d3.loss_cls: 0.2947, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7795, decode.d4.loss_cls: 0.2880, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7809, decode.d5.loss_cls: 0.2801, decode.d5.loss_mask: 0.5163, decode.d5.loss_dice: 0.7827, decode.d6.loss_cls: 0.2790, decode.d6.loss_mask: 0.5119, decode.d6.loss_dice: 0.7686, decode.d7.loss_cls: 0.2792, decode.d7.loss_mask: 0.5129, decode.d7.loss_dice: 0.7726, decode.d8.loss_cls: 0.2778, decode.d8.loss_mask: 0.5117, decode.d8.loss_dice: 0.7716, loss: 17.0633 2022-05-01 16:50:43,908 - mmseg - INFO - Iter [46500/80000] lr: 6.013e-07, eta: 18:04:36, time: 1.911, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2777, decode.loss_mask: 0.5208, decode.loss_dice: 0.7501, decode.d0.loss_cls: 1.2759, decode.d0.loss_mask: 0.5613, decode.d0.loss_dice: 0.8484, decode.d1.loss_cls: 0.3631, decode.d1.loss_mask: 0.5412, decode.d1.loss_dice: 0.8012, decode.d2.loss_cls: 0.3259, decode.d2.loss_mask: 0.5294, decode.d2.loss_dice: 0.7719, decode.d3.loss_cls: 0.3074, decode.d3.loss_mask: 0.5272, decode.d3.loss_dice: 0.7614, decode.d4.loss_cls: 0.3008, decode.d4.loss_mask: 0.5227, decode.d4.loss_dice: 0.7583, decode.d5.loss_cls: 0.2881, decode.d5.loss_mask: 0.5260, decode.d5.loss_dice: 0.7585, decode.d6.loss_cls: 0.2914, decode.d6.loss_mask: 0.5217, decode.d6.loss_dice: 0.7545, decode.d7.loss_cls: 0.2854, decode.d7.loss_mask: 0.5206, decode.d7.loss_dice: 0.7503, decode.d8.loss_cls: 0.2813, decode.d8.loss_mask: 0.5212, decode.d8.loss_dice: 0.7501, loss: 16.9940 2022-05-01 16:52:17,916 - mmseg - INFO - Iter [46550/80000] lr: 6.004e-07, eta: 18:02:57, time: 1.878, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2840, decode.loss_mask: 0.5127, decode.loss_dice: 0.7578, decode.d0.loss_cls: 1.3234, decode.d0.loss_mask: 0.5597, decode.d0.loss_dice: 0.8638, decode.d1.loss_cls: 0.3736, decode.d1.loss_mask: 0.5359, decode.d1.loss_dice: 0.8157, decode.d2.loss_cls: 0.3347, decode.d2.loss_mask: 0.5210, decode.d2.loss_dice: 0.7742, decode.d3.loss_cls: 0.3048, decode.d3.loss_mask: 0.5176, decode.d3.loss_dice: 0.7657, decode.d4.loss_cls: 0.3034, decode.d4.loss_mask: 0.5169, decode.d4.loss_dice: 0.7679, decode.d5.loss_cls: 0.2913, decode.d5.loss_mask: 0.5178, decode.d5.loss_dice: 0.7658, decode.d6.loss_cls: 0.2871, decode.d6.loss_mask: 0.5138, decode.d6.loss_dice: 0.7606, decode.d7.loss_cls: 0.2879, decode.d7.loss_mask: 0.5146, decode.d7.loss_dice: 0.7582, decode.d8.loss_cls: 0.2856, decode.d8.loss_mask: 0.5129, decode.d8.loss_dice: 0.7613, loss: 17.0894 2022-05-01 16:53:52,352 - mmseg - INFO - Iter [46600/80000] lr: 5.995e-07, eta: 18:01:18, time: 1.891, data_time: 0.018, memory: 64716, decode.loss_cls: 0.3025, decode.loss_mask: 0.5060, decode.loss_dice: 0.7763, decode.d0.loss_cls: 1.3230, decode.d0.loss_mask: 0.5519, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.8300, decode.d2.loss_cls: 0.3452, decode.d2.loss_mask: 0.5160, decode.d2.loss_dice: 0.7983, decode.d3.loss_cls: 0.3185, decode.d3.loss_mask: 0.5140, decode.d3.loss_dice: 0.7913, decode.d4.loss_cls: 0.3168, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7794, decode.d5.loss_cls: 0.3081, decode.d5.loss_mask: 0.5077, decode.d5.loss_dice: 0.7781, decode.d6.loss_cls: 0.3028, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7762, decode.d7.loss_cls: 0.3018, decode.d7.loss_mask: 0.5097, decode.d7.loss_dice: 0.7744, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5083, decode.d8.loss_dice: 0.7749, loss: 17.3367 2022-05-01 16:55:24,780 - mmseg - INFO - Iter [46650/80000] lr: 5.986e-07, eta: 17:59:37, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3110, decode.loss_mask: 0.5002, decode.loss_dice: 0.7731, decode.d0.loss_cls: 1.3502, decode.d0.loss_mask: 0.5442, decode.d0.loss_dice: 0.8741, decode.d1.loss_cls: 0.3932, decode.d1.loss_mask: 0.5190, decode.d1.loss_dice: 0.8200, decode.d2.loss_cls: 0.3489, decode.d2.loss_mask: 0.5125, decode.d2.loss_dice: 0.7962, decode.d3.loss_cls: 0.3310, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7812, decode.d4.loss_cls: 0.3169, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.3190, decode.d5.loss_mask: 0.5007, decode.d5.loss_dice: 0.7750, decode.d6.loss_cls: 0.3114, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7730, decode.d7.loss_cls: 0.3125, decode.d7.loss_mask: 0.4997, decode.d7.loss_dice: 0.7675, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.4989, decode.d8.loss_dice: 0.7735, loss: 17.3048 2022-05-01 16:56:58,007 - mmseg - INFO - Iter [46700/80000] lr: 5.977e-07, eta: 17:57:57, time: 1.864, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2718, decode.loss_mask: 0.5244, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.2818, decode.d0.loss_mask: 0.5634, decode.d0.loss_dice: 0.8494, decode.d1.loss_cls: 0.3684, decode.d1.loss_mask: 0.5467, decode.d1.loss_dice: 0.7967, decode.d2.loss_cls: 0.3200, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.7758, decode.d3.loss_cls: 0.2999, decode.d3.loss_mask: 0.5265, decode.d3.loss_dice: 0.7633, decode.d4.loss_cls: 0.2876, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.2845, decode.d5.loss_mask: 0.5307, decode.d5.loss_dice: 0.7616, decode.d6.loss_cls: 0.2811, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.7539, decode.d7.loss_cls: 0.2789, decode.d7.loss_mask: 0.5236, decode.d7.loss_dice: 0.7585, decode.d8.loss_cls: 0.2763, decode.d8.loss_mask: 0.5250, decode.d8.loss_dice: 0.7532, loss: 17.0082 2022-05-01 16:58:31,129 - mmseg - INFO - Iter [46750/80000] lr: 5.968e-07, eta: 17:56:17, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2868, decode.loss_mask: 0.5182, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.3341, decode.d0.loss_mask: 0.5529, decode.d0.loss_dice: 0.8842, decode.d1.loss_cls: 0.3782, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8379, decode.d2.loss_cls: 0.3285, decode.d2.loss_mask: 0.5264, decode.d2.loss_dice: 0.8040, decode.d3.loss_cls: 0.3170, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7996, decode.d4.loss_cls: 0.3087, decode.d4.loss_mask: 0.5209, decode.d4.loss_dice: 0.7986, decode.d5.loss_cls: 0.2984, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7960, decode.d6.loss_cls: 0.2926, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7880, decode.d7.loss_cls: 0.2898, decode.d7.loss_mask: 0.5180, decode.d7.loss_dice: 0.7900, decode.d8.loss_cls: 0.2855, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7894, loss: 17.4441 2022-05-01 17:00:06,480 - mmseg - INFO - Iter [46800/80000] lr: 5.959e-07, eta: 17:54:39, time: 1.908, data_time: 0.064, memory: 64716, decode.loss_cls: 0.2791, decode.loss_mask: 0.5227, decode.loss_dice: 0.7565, decode.d0.loss_cls: 1.3322, decode.d0.loss_mask: 0.5769, decode.d0.loss_dice: 0.8673, decode.d1.loss_cls: 0.3714, decode.d1.loss_mask: 0.5498, decode.d1.loss_dice: 0.8155, decode.d2.loss_cls: 0.3265, decode.d2.loss_mask: 0.5350, decode.d2.loss_dice: 0.7800, decode.d3.loss_cls: 0.3030, decode.d3.loss_mask: 0.5318, decode.d3.loss_dice: 0.7763, decode.d4.loss_cls: 0.2927, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.7710, decode.d5.loss_cls: 0.2869, decode.d5.loss_mask: 0.5264, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.2839, decode.d6.loss_mask: 0.5232, decode.d6.loss_dice: 0.7612, decode.d7.loss_cls: 0.2827, decode.d7.loss_mask: 0.5254, decode.d7.loss_dice: 0.7624, decode.d8.loss_cls: 0.2760, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7587, loss: 17.1951 2022-05-01 17:01:40,480 - mmseg - INFO - Iter [46850/80000] lr: 5.950e-07, eta: 17:53:00, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2829, decode.loss_mask: 0.5166, decode.loss_dice: 0.7426, decode.d0.loss_cls: 1.3023, decode.d0.loss_mask: 0.5621, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3656, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.8072, decode.d2.loss_cls: 0.3250, decode.d2.loss_mask: 0.5256, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.3050, decode.d3.loss_mask: 0.5206, decode.d3.loss_dice: 0.7563, decode.d4.loss_cls: 0.3020, decode.d4.loss_mask: 0.5168, decode.d4.loss_dice: 0.7559, decode.d5.loss_cls: 0.2918, decode.d5.loss_mask: 0.5183, decode.d5.loss_dice: 0.7528, decode.d6.loss_cls: 0.2870, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.2854, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7451, decode.d8.loss_cls: 0.2831, decode.d8.loss_mask: 0.5155, decode.d8.loss_dice: 0.7457, loss: 16.9605 2022-05-01 17:03:14,166 - mmseg - INFO - Iter [46900/80000] lr: 5.941e-07, eta: 17:51:20, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2673, decode.loss_mask: 0.5182, decode.loss_dice: 0.7427, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.5603, decode.d0.loss_dice: 0.8353, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5478, decode.d1.loss_dice: 0.7967, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.7668, decode.d3.loss_cls: 0.2968, decode.d3.loss_mask: 0.5245, decode.d3.loss_dice: 0.7546, decode.d4.loss_cls: 0.2843, decode.d4.loss_mask: 0.5220, decode.d4.loss_dice: 0.7488, decode.d5.loss_cls: 0.2782, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.7461, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2712, decode.d7.loss_mask: 0.5190, decode.d7.loss_dice: 0.7424, decode.d8.loss_cls: 0.2680, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7410, loss: 16.7641 2022-05-01 17:04:49,992 - mmseg - INFO - Iter [46950/80000] lr: 5.932e-07, eta: 17:49:42, time: 1.916, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2845, decode.loss_mask: 0.4965, decode.loss_dice: 0.7496, decode.d0.loss_cls: 1.3364, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8527, decode.d1.loss_cls: 0.3793, decode.d1.loss_mask: 0.5188, decode.d1.loss_dice: 0.7999, decode.d2.loss_cls: 0.3259, decode.d2.loss_mask: 0.5106, decode.d2.loss_dice: 0.7711, decode.d3.loss_cls: 0.3088, decode.d3.loss_mask: 0.5046, decode.d3.loss_dice: 0.7578, decode.d4.loss_cls: 0.2953, decode.d4.loss_mask: 0.5044, decode.d4.loss_dice: 0.7561, decode.d5.loss_cls: 0.2930, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7534, decode.d6.loss_cls: 0.2936, decode.d6.loss_mask: 0.4964, decode.d6.loss_dice: 0.7446, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.4970, decode.d7.loss_dice: 0.7526, decode.d8.loss_cls: 0.2849, decode.d8.loss_mask: 0.4951, decode.d8.loss_dice: 0.7501, loss: 16.8344 2022-05-01 17:06:21,839 - mmseg - INFO - Saving checkpoint at 47000 iterations 2022-05-01 17:06:55,814 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 17:06:55,825 - mmseg - INFO - Iter [47000/80000] lr: 5.923e-07, eta: 17:48:25, time: 2.514, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2706, decode.loss_mask: 0.5092, decode.loss_dice: 0.7457, decode.d0.loss_cls: 1.3369, decode.d0.loss_mask: 0.5629, decode.d0.loss_dice: 0.8432, decode.d1.loss_cls: 0.3665, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.3261, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7742, decode.d3.loss_cls: 0.3018, decode.d3.loss_mask: 0.5123, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2903, decode.d4.loss_mask: 0.5098, decode.d4.loss_dice: 0.7561, decode.d5.loss_cls: 0.2871, decode.d5.loss_mask: 0.5081, decode.d5.loss_dice: 0.7529, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.5082, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2779, decode.d8.loss_mask: 0.5086, decode.d8.loss_dice: 0.7455, loss: 16.8739 2022-05-01 17:08:30,433 - mmseg - INFO - Iter [47050/80000] lr: 5.914e-07, eta: 17:46:47, time: 1.895, data_time: 0.020, memory: 64716, decode.loss_cls: 0.2867, decode.loss_mask: 0.5151, decode.loss_dice: 0.7738, decode.d0.loss_cls: 1.3065, decode.d0.loss_mask: 0.5581, decode.d0.loss_dice: 0.8685, decode.d1.loss_cls: 0.3701, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.8238, decode.d2.loss_cls: 0.3309, decode.d2.loss_mask: 0.5261, decode.d2.loss_dice: 0.7981, decode.d3.loss_cls: 0.3143, decode.d3.loss_mask: 0.5193, decode.d3.loss_dice: 0.7835, decode.d4.loss_cls: 0.3020, decode.d4.loss_mask: 0.5173, decode.d4.loss_dice: 0.7823, decode.d5.loss_cls: 0.3014, decode.d5.loss_mask: 0.5181, decode.d5.loss_dice: 0.7786, decode.d6.loss_cls: 0.2942, decode.d6.loss_mask: 0.5166, decode.d6.loss_dice: 0.7723, decode.d7.loss_cls: 0.2896, decode.d7.loss_mask: 0.5165, decode.d7.loss_dice: 0.7721, decode.d8.loss_cls: 0.2868, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7755, loss: 17.2546 2022-05-01 17:10:04,387 - mmseg - INFO - Iter [47100/80000] lr: 5.905e-07, eta: 17:45:07, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2858, decode.loss_mask: 0.4942, decode.loss_dice: 0.7356, decode.d0.loss_cls: 1.3181, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3808, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7924, decode.d2.loss_cls: 0.3301, decode.d2.loss_mask: 0.5040, decode.d2.loss_dice: 0.7609, decode.d3.loss_cls: 0.3128, decode.d3.loss_mask: 0.4965, decode.d3.loss_dice: 0.7494, decode.d4.loss_cls: 0.3012, decode.d4.loss_mask: 0.4956, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2948, decode.d5.loss_mask: 0.4965, decode.d5.loss_dice: 0.7458, decode.d6.loss_cls: 0.2922, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7392, decode.d7.loss_cls: 0.2891, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7374, decode.d8.loss_cls: 0.2882, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7394, loss: 16.7151 2022-05-01 17:11:38,937 - mmseg - INFO - Iter [47150/80000] lr: 5.896e-07, eta: 17:43:28, time: 1.890, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2871, decode.loss_mask: 0.5017, decode.loss_dice: 0.7487, decode.d0.loss_cls: 1.3169, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3614, decode.d1.loss_mask: 0.5238, decode.d1.loss_dice: 0.8032, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7743, decode.d3.loss_cls: 0.3105, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.3036, decode.d4.loss_mask: 0.5069, decode.d4.loss_dice: 0.7587, decode.d5.loss_cls: 0.2918, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.7528, decode.d6.loss_cls: 0.2850, decode.d6.loss_mask: 0.5015, decode.d6.loss_dice: 0.7530, decode.d7.loss_cls: 0.2867, decode.d7.loss_mask: 0.5008, decode.d7.loss_dice: 0.7535, decode.d8.loss_cls: 0.2883, decode.d8.loss_mask: 0.5017, decode.d8.loss_dice: 0.7514, loss: 16.8545 2022-05-01 17:13:13,280 - mmseg - INFO - Iter [47200/80000] lr: 5.887e-07, eta: 17:41:49, time: 1.887, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2935, decode.loss_mask: 0.5088, decode.loss_dice: 0.7552, decode.d0.loss_cls: 1.3351, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8564, decode.d1.loss_cls: 0.3900, decode.d1.loss_mask: 0.5306, decode.d1.loss_dice: 0.8059, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.3207, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7597, decode.d4.loss_cls: 0.3091, decode.d4.loss_mask: 0.5129, decode.d4.loss_dice: 0.7578, decode.d5.loss_cls: 0.3026, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7581, decode.d6.loss_cls: 0.2949, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7531, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5086, decode.d7.loss_dice: 0.7532, decode.d8.loss_cls: 0.2903, decode.d8.loss_mask: 0.5083, decode.d8.loss_dice: 0.7520, loss: 17.0740 2022-05-01 17:14:46,481 - mmseg - INFO - Iter [47250/80000] lr: 5.878e-07, eta: 17:40:09, time: 1.864, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2886, decode.loss_mask: 0.5142, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.3303, decode.d0.loss_mask: 0.5662, decode.d0.loss_dice: 0.8500, decode.d1.loss_cls: 0.3813, decode.d1.loss_mask: 0.5399, decode.d1.loss_dice: 0.7950, decode.d2.loss_cls: 0.3352, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.3150, decode.d3.loss_mask: 0.5187, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.3075, decode.d4.loss_mask: 0.5193, decode.d4.loss_dice: 0.7537, decode.d5.loss_cls: 0.2989, decode.d5.loss_mask: 0.5192, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2955, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7489, decode.d7.loss_cls: 0.2901, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7478, decode.d8.loss_cls: 0.2929, decode.d8.loss_mask: 0.5143, decode.d8.loss_dice: 0.7490, loss: 17.0483 2022-05-01 17:16:17,769 - mmseg - INFO - Iter [47300/80000] lr: 5.869e-07, eta: 17:38:28, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2864, decode.loss_mask: 0.5355, decode.loss_dice: 0.7797, decode.d0.loss_cls: 1.3158, decode.d0.loss_mask: 0.5820, decode.d0.loss_dice: 0.8818, decode.d1.loss_cls: 0.3753, decode.d1.loss_mask: 0.5571, decode.d1.loss_dice: 0.8281, decode.d2.loss_cls: 0.3240, decode.d2.loss_mask: 0.5480, decode.d2.loss_dice: 0.7990, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.5367, decode.d3.loss_dice: 0.7878, decode.d4.loss_cls: 0.2993, decode.d4.loss_mask: 0.5378, decode.d4.loss_dice: 0.7888, decode.d5.loss_cls: 0.2998, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7815, decode.d6.loss_cls: 0.2937, decode.d6.loss_mask: 0.5346, decode.d6.loss_dice: 0.7764, decode.d7.loss_cls: 0.2845, decode.d7.loss_mask: 0.5355, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.2860, decode.d8.loss_mask: 0.5340, decode.d8.loss_dice: 0.7734, loss: 17.4869 2022-05-01 17:17:52,606 - mmseg - INFO - Iter [47350/80000] lr: 5.860e-07, eta: 17:36:50, time: 1.897, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2631, decode.loss_mask: 0.5179, decode.loss_dice: 0.7457, decode.d0.loss_cls: 1.2789, decode.d0.loss_mask: 0.5618, decode.d0.loss_dice: 0.8314, decode.d1.loss_cls: 0.3475, decode.d1.loss_mask: 0.5392, decode.d1.loss_dice: 0.7923, decode.d2.loss_cls: 0.3147, decode.d2.loss_mask: 0.5249, decode.d2.loss_dice: 0.7611, decode.d3.loss_cls: 0.2841, decode.d3.loss_mask: 0.5207, decode.d3.loss_dice: 0.7507, decode.d4.loss_cls: 0.2730, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.7550, decode.d5.loss_cls: 0.2712, decode.d5.loss_mask: 0.5205, decode.d5.loss_dice: 0.7489, decode.d6.loss_cls: 0.2679, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2669, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7419, decode.d8.loss_cls: 0.2636, decode.d8.loss_mask: 0.5178, decode.d8.loss_dice: 0.7412, loss: 16.6960 2022-05-01 17:19:25,467 - mmseg - INFO - Iter [47400/80000] lr: 5.851e-07, eta: 17:35:10, time: 1.857, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2754, decode.loss_mask: 0.5071, decode.loss_dice: 0.7375, decode.d0.loss_cls: 1.3099, decode.d0.loss_mask: 0.5606, decode.d0.loss_dice: 0.8415, decode.d1.loss_cls: 0.3693, decode.d1.loss_mask: 0.5372, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.3258, decode.d2.loss_mask: 0.5263, decode.d2.loss_dice: 0.7603, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2923, decode.d4.loss_mask: 0.5121, decode.d4.loss_dice: 0.7522, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7497, decode.d6.loss_cls: 0.2792, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.5109, decode.d7.loss_dice: 0.7410, decode.d8.loss_cls: 0.2734, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7412, loss: 16.7822 2022-05-01 17:20:58,110 - mmseg - INFO - Iter [47450/80000] lr: 5.842e-07, eta: 17:33:29, time: 1.853, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2856, decode.loss_mask: 0.5041, decode.loss_dice: 0.7480, decode.d0.loss_cls: 1.3265, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3697, decode.d1.loss_mask: 0.5298, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3258, decode.d2.loss_mask: 0.5152, decode.d2.loss_dice: 0.7766, decode.d3.loss_cls: 0.3084, decode.d3.loss_mask: 0.5125, decode.d3.loss_dice: 0.7561, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5086, decode.d4.loss_dice: 0.7559, decode.d5.loss_cls: 0.2971, decode.d5.loss_mask: 0.5052, decode.d5.loss_dice: 0.7525, decode.d6.loss_cls: 0.2882, decode.d6.loss_mask: 0.5034, decode.d6.loss_dice: 0.7469, decode.d7.loss_cls: 0.2837, decode.d7.loss_mask: 0.5025, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2874, decode.d8.loss_mask: 0.5052, decode.d8.loss_dice: 0.7494, loss: 16.8929 2022-05-01 17:22:32,028 - mmseg - INFO - Iter [47500/80000] lr: 5.833e-07, eta: 17:31:50, time: 1.878, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2608, decode.loss_mask: 0.5100, decode.loss_dice: 0.7591, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8507, decode.d1.loss_cls: 0.3574, decode.d1.loss_mask: 0.5335, decode.d1.loss_dice: 0.8108, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7820, decode.d3.loss_cls: 0.2871, decode.d3.loss_mask: 0.5155, decode.d3.loss_dice: 0.7675, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7653, decode.d5.loss_cls: 0.2723, decode.d5.loss_mask: 0.5107, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.2751, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7559, decode.d7.loss_cls: 0.2675, decode.d7.loss_mask: 0.5075, decode.d7.loss_dice: 0.7547, decode.d8.loss_cls: 0.2664, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7544, loss: 16.7997 2022-05-01 17:24:05,203 - mmseg - INFO - Iter [47550/80000] lr: 5.824e-07, eta: 17:30:10, time: 1.862, data_time: 0.014, memory: 64716, decode.loss_cls: 0.3011, decode.loss_mask: 0.5294, decode.loss_dice: 0.7798, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5823, decode.d0.loss_dice: 0.8855, decode.d1.loss_cls: 0.3785, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8391, decode.d2.loss_cls: 0.3411, decode.d2.loss_mask: 0.5447, decode.d2.loss_dice: 0.8096, decode.d3.loss_cls: 0.3225, decode.d3.loss_mask: 0.5365, decode.d3.loss_dice: 0.7940, decode.d4.loss_cls: 0.3070, decode.d4.loss_mask: 0.5365, decode.d4.loss_dice: 0.7950, decode.d5.loss_cls: 0.3144, decode.d5.loss_mask: 0.5346, decode.d5.loss_dice: 0.7876, decode.d6.loss_cls: 0.3046, decode.d6.loss_mask: 0.5301, decode.d6.loss_dice: 0.7810, decode.d7.loss_cls: 0.3000, decode.d7.loss_mask: 0.5307, decode.d7.loss_dice: 0.7782, decode.d8.loss_cls: 0.2992, decode.d8.loss_mask: 0.5301, decode.d8.loss_dice: 0.7797, loss: 17.6466 2022-05-01 17:25:39,717 - mmseg - INFO - Iter [47600/80000] lr: 5.815e-07, eta: 17:28:31, time: 1.891, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2897, decode.loss_mask: 0.4992, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.2755, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8546, decode.d1.loss_cls: 0.3718, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.8070, decode.d2.loss_cls: 0.3200, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.3052, decode.d3.loss_mask: 0.5069, decode.d3.loss_dice: 0.7622, decode.d4.loss_cls: 0.2974, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7632, decode.d5.loss_cls: 0.2928, decode.d5.loss_mask: 0.5041, decode.d5.loss_dice: 0.7574, decode.d6.loss_cls: 0.2834, decode.d6.loss_mask: 0.5031, decode.d6.loss_dice: 0.7557, decode.d7.loss_cls: 0.2902, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2874, decode.d8.loss_mask: 0.5006, decode.d8.loss_dice: 0.7535, loss: 16.8493 2022-05-01 17:27:13,708 - mmseg - INFO - Iter [47650/80000] lr: 5.806e-07, eta: 17:26:52, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.3185, decode.loss_mask: 0.4974, decode.loss_dice: 0.7620, decode.d0.loss_cls: 1.3638, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8811, decode.d1.loss_cls: 0.4132, decode.d1.loss_mask: 0.5206, decode.d1.loss_dice: 0.8273, decode.d2.loss_cls: 0.3612, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7952, decode.d3.loss_cls: 0.3390, decode.d3.loss_mask: 0.5029, decode.d3.loss_dice: 0.7810, decode.d4.loss_cls: 0.3275, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.7850, decode.d5.loss_cls: 0.3297, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7798, decode.d6.loss_cls: 0.3212, decode.d6.loss_mask: 0.4970, decode.d6.loss_dice: 0.7698, decode.d7.loss_cls: 0.3178, decode.d7.loss_mask: 0.4987, decode.d7.loss_dice: 0.7709, decode.d8.loss_cls: 0.3218, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7659, loss: 17.3937 2022-05-01 17:28:47,139 - mmseg - INFO - Iter [47700/80000] lr: 5.797e-07, eta: 17:25:13, time: 1.868, data_time: 0.015, memory: 64716, decode.loss_cls: 0.3047, decode.loss_mask: 0.5218, decode.loss_dice: 0.7697, decode.d0.loss_cls: 1.3287, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.3984, decode.d1.loss_mask: 0.5525, decode.d1.loss_dice: 0.8249, decode.d2.loss_cls: 0.3461, decode.d2.loss_mask: 0.5383, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3287, decode.d3.loss_mask: 0.5304, decode.d3.loss_dice: 0.7819, decode.d4.loss_cls: 0.3111, decode.d4.loss_mask: 0.5284, decode.d4.loss_dice: 0.7795, decode.d5.loss_cls: 0.3129, decode.d5.loss_mask: 0.5232, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.3063, decode.d6.loss_mask: 0.5221, decode.d6.loss_dice: 0.7676, decode.d7.loss_cls: 0.3050, decode.d7.loss_mask: 0.5204, decode.d7.loss_dice: 0.7676, decode.d8.loss_cls: 0.3057, decode.d8.loss_mask: 0.5226, decode.d8.loss_dice: 0.7701, loss: 17.4975 2022-05-01 17:30:20,768 - mmseg - INFO - Iter [47750/80000] lr: 5.788e-07, eta: 17:23:33, time: 1.874, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2761, decode.loss_mask: 0.5253, decode.loss_dice: 0.7490, decode.d0.loss_cls: 1.2822, decode.d0.loss_mask: 0.5766, decode.d0.loss_dice: 0.8592, decode.d1.loss_cls: 0.3558, decode.d1.loss_mask: 0.5504, decode.d1.loss_dice: 0.8138, decode.d2.loss_cls: 0.3180, decode.d2.loss_mask: 0.5350, decode.d2.loss_dice: 0.7798, decode.d3.loss_cls: 0.2958, decode.d3.loss_mask: 0.5305, decode.d3.loss_dice: 0.7629, decode.d4.loss_cls: 0.2907, decode.d4.loss_mask: 0.5300, decode.d4.loss_dice: 0.7643, decode.d5.loss_cls: 0.2831, decode.d5.loss_mask: 0.5284, decode.d5.loss_dice: 0.7587, decode.d6.loss_cls: 0.2788, decode.d6.loss_mask: 0.5264, decode.d6.loss_dice: 0.7508, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5276, decode.d7.loss_dice: 0.7521, decode.d8.loss_cls: 0.2735, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7525, loss: 17.0263 2022-05-01 17:31:54,379 - mmseg - INFO - Iter [47800/80000] lr: 5.779e-07, eta: 17:21:54, time: 1.872, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2830, decode.loss_mask: 0.5042, decode.loss_dice: 0.7472, decode.d0.loss_cls: 1.3146, decode.d0.loss_mask: 0.5520, decode.d0.loss_dice: 0.8433, decode.d1.loss_cls: 0.3668, decode.d1.loss_mask: 0.5267, decode.d1.loss_dice: 0.7995, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7783, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.5097, decode.d3.loss_dice: 0.7594, decode.d4.loss_cls: 0.3021, decode.d4.loss_mask: 0.5081, decode.d4.loss_dice: 0.7575, decode.d5.loss_cls: 0.2977, decode.d5.loss_mask: 0.5090, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.2872, decode.d6.loss_mask: 0.5066, decode.d6.loss_dice: 0.7521, decode.d7.loss_cls: 0.2787, decode.d7.loss_mask: 0.5065, decode.d7.loss_dice: 0.7507, decode.d8.loss_cls: 0.2787, decode.d8.loss_mask: 0.5039, decode.d8.loss_dice: 0.7500, loss: 16.8810 2022-05-01 17:33:28,224 - mmseg - INFO - Iter [47850/80000] lr: 5.770e-07, eta: 17:20:15, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2661, decode.loss_mask: 0.5318, decode.loss_dice: 0.7562, decode.d0.loss_cls: 1.2811, decode.d0.loss_mask: 0.5819, decode.d0.loss_dice: 0.8618, decode.d1.loss_cls: 0.3566, decode.d1.loss_mask: 0.5572, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.3099, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.7793, decode.d3.loss_cls: 0.2906, decode.d3.loss_mask: 0.5357, decode.d3.loss_dice: 0.7665, decode.d4.loss_cls: 0.2830, decode.d4.loss_mask: 0.5343, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.2823, decode.d5.loss_mask: 0.5317, decode.d5.loss_dice: 0.7590, decode.d6.loss_cls: 0.2700, decode.d6.loss_mask: 0.5312, decode.d6.loss_dice: 0.7582, decode.d7.loss_cls: 0.2670, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.7553, decode.d8.loss_cls: 0.2697, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.7545, loss: 17.0414 2022-05-01 17:35:02,755 - mmseg - INFO - Iter [47900/80000] lr: 5.761e-07, eta: 17:18:36, time: 1.890, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2924, decode.loss_mask: 0.5086, decode.loss_dice: 0.7417, decode.d0.loss_cls: 1.2887, decode.d0.loss_mask: 0.5597, decode.d0.loss_dice: 0.8503, decode.d1.loss_cls: 0.3698, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.7967, decode.d2.loss_cls: 0.3248, decode.d2.loss_mask: 0.5183, decode.d2.loss_dice: 0.7651, decode.d3.loss_cls: 0.3091, decode.d3.loss_mask: 0.5130, decode.d3.loss_dice: 0.7517, decode.d4.loss_cls: 0.3010, decode.d4.loss_mask: 0.5130, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.3009, decode.d5.loss_mask: 0.5128, decode.d5.loss_dice: 0.7484, decode.d6.loss_cls: 0.2914, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7414, decode.d7.loss_cls: 0.2895, decode.d7.loss_mask: 0.5098, decode.d7.loss_dice: 0.7465, decode.d8.loss_cls: 0.2856, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7368, loss: 16.8697 2022-05-01 17:36:36,437 - mmseg - INFO - Iter [47950/80000] lr: 5.752e-07, eta: 17:16:57, time: 1.873, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2692, decode.loss_mask: 0.4983, decode.loss_dice: 0.7389, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8270, decode.d1.loss_cls: 0.3535, decode.d1.loss_mask: 0.5233, decode.d1.loss_dice: 0.7906, decode.d2.loss_cls: 0.3147, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7674, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5043, decode.d3.loss_dice: 0.7501, decode.d4.loss_cls: 0.2869, decode.d4.loss_mask: 0.5034, decode.d4.loss_dice: 0.7521, decode.d5.loss_cls: 0.2792, decode.d5.loss_mask: 0.5024, decode.d5.loss_dice: 0.7519, decode.d6.loss_cls: 0.2771, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7454, decode.d7.loss_cls: 0.2724, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7427, decode.d8.loss_cls: 0.2673, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7437, loss: 16.6306 2022-05-01 17:38:11,301 - mmseg - INFO - Saving checkpoint at 48000 iterations 2022-05-01 17:38:35,223 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 17:38:35,237 - mmseg - INFO - Iter [48000/80000] lr: 5.743e-07, eta: 17:15:34, time: 2.373, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2694, decode.loss_mask: 0.4976, decode.loss_dice: 0.7297, decode.d0.loss_cls: 1.2815, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3567, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.3129, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7537, decode.d3.loss_cls: 0.2951, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.7359, decode.d4.loss_cls: 0.2836, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2822, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7334, decode.d6.loss_cls: 0.2744, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7313, decode.d7.loss_cls: 0.2769, decode.d7.loss_mask: 0.4957, decode.d7.loss_dice: 0.7274, decode.d8.loss_cls: 0.2748, decode.d8.loss_mask: 0.4966, decode.d8.loss_dice: 0.7338, loss: 16.4237 2022-05-01 17:40:36,756 - mmseg - INFO - per class results: 2022-05-01 17:40:36,768 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.46 | 89.59 | | building | 85.01 | 91.86 | | sky | 95.3 | 97.65 | | floor | 85.92 | 91.32 | | tree | 77.79 | 88.78 | | ceiling | 88.08 | 94.71 | | road | 86.81 | 92.45 | | bed | 92.86 | 97.5 | | windowpane | 66.53 | 80.61 | | grass | 69.57 | 83.17 | | cabinet | 67.65 | 82.15 | | sidewalk | 73.89 | 84.74 | | person | 87.98 | 94.14 | | earth | 41.36 | 51.61 | | door | 58.33 | 74.48 | | table | 69.91 | 81.52 | | mountain | 58.29 | 70.59 | | plant | 57.22 | 71.4 | | curtain | 81.43 | 89.97 | | chair | 67.26 | 76.78 | | car | 88.7 | 93.83 | | water | 61.52 | 75.59 | | painting | 79.62 | 93.25 | | sofa | 81.6 | 89.81 | | shelf | 45.82 | 58.67 | | house | 56.94 | 74.72 | | sea | 75.01 | 84.24 | | mirror | 78.0 | 85.76 | | rug | 70.34 | 84.83 | | field | 32.42 | 55.6 | | armchair | 57.4 | 77.82 | | seat | 68.59 | 88.51 | | fence | 51.54 | 68.64 | | desk | 59.65 | 78.73 | | rock | 52.15 | 75.43 | | wardrobe | 65.1 | 76.86 | | lamp | 78.51 | 88.9 | | bathtub | 91.41 | 94.07 | | railing | 43.46 | 61.2 | | cushion | 70.76 | 87.47 | | base | 43.19 | 74.2 | | box | 39.67 | 54.22 | | column | 57.51 | 70.97 | | signboard | 41.91 | 63.51 | | chest of drawers | 43.57 | 61.46 | | counter | 59.23 | 74.11 | | sand | 62.65 | 89.33 | | sink | 87.0 | 92.68 | | skyscraper | 47.23 | 59.45 | | fireplace | 82.62 | 93.09 | | refrigerator | 83.43 | 88.46 | | grandstand | 54.33 | 85.21 | | path | 29.61 | 42.74 | | stairs | 34.91 | 41.26 | | runway | 76.93 | 97.31 | | case | 68.17 | 78.57 | | pool table | 95.5 | 97.78 | | pillow | 66.3 | 73.97 | | screen door | 67.19 | 74.49 | | stairway | 44.87 | 73.55 | | river | 17.02 | 38.41 | | bridge | 79.9 | 89.17 | | bookcase | 39.9 | 65.91 | | blind | 41.59 | 51.3 | | coffee table | 70.33 | 85.84 | | toilet | 91.11 | 93.36 | | flower | 51.08 | 71.98 | | book | 60.48 | 79.8 | | hill | 6.81 | 15.25 | | bench | 57.35 | 64.28 | | countertop | 60.28 | 81.81 | | stove | 84.47 | 89.4 | | palm | 56.57 | 82.36 | | kitchen island | 58.23 | 79.81 | | computer | 76.86 | 84.04 | | swivel chair | 50.76 | 85.36 | | boat | 84.07 | 91.59 | | bar | 64.58 | 67.64 | | arcade machine | 52.01 | 60.26 | | hovel | 43.59 | 48.62 | | bus | 92.14 | 96.2 | | towel | 79.73 | 93.09 | | light | 67.35 | 78.67 | | truck | 45.41 | 64.87 | | tower | 26.77 | 48.13 | | chandelier | 76.99 | 88.48 | | awning | 40.32 | 53.37 | | streetlight | 46.88 | 69.93 | | booth | 59.57 | 74.79 | | television receiver | 84.31 | 94.47 | | airplane | 72.98 | 77.47 | | dirt track | 15.25 | 51.74 | | apparel | 54.05 | 88.13 | | pole | 34.02 | 48.09 | | land | 2.19 | 6.06 | | bannister | 23.97 | 40.2 | | escalator | 56.04 | 79.44 | | ottoman | 58.09 | 76.25 | | bottle | 36.42 | 45.7 | | buffet | 51.47 | 63.7 | | poster | 39.76 | 60.38 | | stage | 22.81 | 49.78 | | van | 42.41 | 72.39 | | ship | 59.23 | 63.18 | | fountain | 36.28 | 38.16 | | conveyer belt | 66.65 | 97.25 | | canopy | 61.24 | 83.02 | | washer | 88.76 | 93.8 | | plaything | 46.22 | 80.7 | | swimming pool | 52.49 | 75.45 | | stool | 56.32 | 80.68 | | barrel | 76.54 | 97.29 | | basket | 40.51 | 65.15 | | waterfall | 46.88 | 66.25 | | tent | 90.89 | 97.78 | | bag | 35.6 | 50.06 | | minibike | 78.17 | 92.17 | | cradle | 86.72 | 97.57 | | oven | 66.44 | 79.29 | | ball | 45.99 | 49.16 | | food | 71.14 | 89.07 | | step | 21.81 | 24.73 | | tank | 53.96 | 67.61 | | trade name | 24.19 | 29.65 | | microwave | 92.75 | 96.89 | | pot | 60.91 | 73.95 | | animal | 72.0 | 73.98 | | bicycle | 60.16 | 81.57 | | lake | 45.65 | 63.61 | | dishwasher | 72.81 | 84.51 | | screen | 71.88 | 94.88 | | blanket | 28.9 | 45.04 | | sculpture | 72.65 | 89.58 | | hood | 63.46 | 77.22 | | sconce | 63.7 | 79.51 | | vase | 53.51 | 78.25 | | traffic light | 50.28 | 73.38 | | tray | 30.47 | 51.18 | | ashcan | 46.53 | 73.27 | | fan | 71.9 | 84.73 | | pier | 68.22 | 75.7 | | crt screen | 4.55 | 14.48 | | plate | 66.78 | 80.69 | | monitor | 10.73 | 14.62 | | bulletin board | 50.89 | 66.11 | | shower | 3.84 | 26.82 | | radiator | 71.07 | 89.59 | | glass | 26.02 | 29.85 | | clock | 56.6 | 67.51 | | flag | 74.55 | 86.74 | +---------------------+-------+-------+ 2022-05-01 17:40:36,768 - mmseg - INFO - Summary: 2022-05-01 17:40:36,768 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.47 | 59.07 | 73.36 | +-------+-------+-------+ 2022-05-01 17:40:36,772 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_40000.pth was removed 2022-05-01 17:41:08,899 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2022-05-01 17:41:08,920 - mmseg - INFO - Best mIoU is 0.5907 at 48000 iter. 2022-05-01 17:41:08,955 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 17:41:08,956 - mmseg - INFO - Iter(val) [125] aAcc: 0.8647, mIoU: 0.5907, mAcc: 0.7336, IoU.wall: 0.8246, IoU.building: 0.8501, IoU.sky: 0.9530, IoU.floor: 0.8592, IoU.tree: 0.7779, IoU.ceiling: 0.8808, IoU.road: 0.8681, IoU.bed : 0.9286, IoU.windowpane: 0.6653, IoU.grass: 0.6957, IoU.cabinet: 0.6765, IoU.sidewalk: 0.7389, IoU.person: 0.8798, IoU.earth: 0.4136, IoU.door: 0.5833, IoU.table: 0.6991, IoU.mountain: 0.5829, IoU.plant: 0.5722, IoU.curtain: 0.8143, IoU.chair: 0.6726, IoU.car: 0.8870, IoU.water: 0.6152, IoU.painting: 0.7962, IoU.sofa: 0.8160, IoU.shelf: 0.4582, IoU.house: 0.5694, IoU.sea: 0.7501, IoU.mirror: 0.7800, IoU.rug: 0.7034, IoU.field: 0.3242, IoU.armchair: 0.5740, IoU.seat: 0.6859, IoU.fence: 0.5154, IoU.desk: 0.5965, IoU.rock: 0.5215, IoU.wardrobe: 0.6510, IoU.lamp: 0.7851, IoU.bathtub: 0.9141, IoU.railing: 0.4346, IoU.cushion: 0.7076, IoU.base: 0.4319, IoU.box: 0.3967, IoU.column: 0.5751, IoU.signboard: 0.4191, IoU.chest of drawers: 0.4357, IoU.counter: 0.5923, IoU.sand: 0.6265, IoU.sink: 0.8700, IoU.skyscraper: 0.4723, IoU.fireplace: 0.8262, IoU.refrigerator: 0.8343, IoU.grandstand: 0.5433, IoU.path: 0.2961, IoU.stairs: 0.3491, IoU.runway: 0.7693, IoU.case: 0.6817, IoU.pool table: 0.9550, IoU.pillow: 0.6630, IoU.screen door: 0.6719, IoU.stairway: 0.4487, IoU.river: 0.1702, IoU.bridge: 0.7990, IoU.bookcase: 0.3990, IoU.blind: 0.4159, IoU.coffee table: 0.7033, IoU.toilet: 0.9111, IoU.flower: 0.5108, IoU.book: 0.6048, IoU.hill: 0.0681, IoU.bench: 0.5735, IoU.countertop: 0.6028, IoU.stove: 0.8447, IoU.palm: 0.5657, IoU.kitchen island: 0.5823, IoU.computer: 0.7686, IoU.swivel chair: 0.5076, IoU.boat: 0.8407, IoU.bar: 0.6458, IoU.arcade machine: 0.5201, IoU.hovel: 0.4359, IoU.bus: 0.9214, IoU.towel: 0.7973, IoU.light: 0.6735, IoU.truck: 0.4541, IoU.tower: 0.2677, IoU.chandelier: 0.7699, IoU.awning: 0.4032, IoU.streetlight: 0.4688, IoU.booth: 0.5957, IoU.television receiver: 0.8431, IoU.airplane: 0.7298, IoU.dirt track: 0.1525, IoU.apparel: 0.5405, IoU.pole: 0.3402, IoU.land: 0.0219, IoU.bannister: 0.2397, IoU.escalator: 0.5604, IoU.ottoman: 0.5809, IoU.bottle: 0.3642, IoU.buffet: 0.5147, IoU.poster: 0.3976, IoU.stage: 0.2281, IoU.van: 0.4241, IoU.ship: 0.5923, IoU.fountain: 0.3628, IoU.conveyer belt: 0.6665, IoU.canopy: 0.6124, IoU.washer: 0.8876, IoU.plaything: 0.4622, IoU.swimming pool: 0.5249, IoU.stool: 0.5632, IoU.barrel: 0.7654, IoU.basket: 0.4051, IoU.waterfall: 0.4688, IoU.tent: 0.9089, IoU.bag: 0.3560, IoU.minibike: 0.7817, IoU.cradle: 0.8672, IoU.oven: 0.6644, IoU.ball: 0.4599, IoU.food: 0.7114, IoU.step: 0.2181, IoU.tank: 0.5396, IoU.trade name: 0.2419, IoU.microwave: 0.9275, IoU.pot: 0.6091, IoU.animal: 0.7200, IoU.bicycle: 0.6016, IoU.lake: 0.4565, IoU.dishwasher: 0.7281, IoU.screen: 0.7188, IoU.blanket: 0.2890, IoU.sculpture: 0.7265, IoU.hood: 0.6346, IoU.sconce: 0.6370, IoU.vase: 0.5351, IoU.traffic light: 0.5028, IoU.tray: 0.3047, IoU.ashcan: 0.4653, IoU.fan: 0.7190, IoU.pier: 0.6822, IoU.crt screen: 0.0455, IoU.plate: 0.6678, IoU.monitor: 0.1073, IoU.bulletin board: 0.5089, IoU.shower: 0.0384, IoU.radiator: 0.7107, IoU.glass: 0.2602, IoU.clock: 0.5660, IoU.flag: 0.7455, Acc.wall: 0.8959, Acc.building: 0.9186, Acc.sky: 0.9765, Acc.floor: 0.9132, Acc.tree: 0.8878, Acc.ceiling: 0.9471, Acc.road: 0.9245, Acc.bed : 0.9750, Acc.windowpane: 0.8061, Acc.grass: 0.8317, Acc.cabinet: 0.8215, Acc.sidewalk: 0.8474, Acc.person: 0.9414, Acc.earth: 0.5161, Acc.door: 0.7448, Acc.table: 0.8152, Acc.mountain: 0.7059, Acc.plant: 0.7140, Acc.curtain: 0.8997, Acc.chair: 0.7678, Acc.car: 0.9383, Acc.water: 0.7559, Acc.painting: 0.9325, Acc.sofa: 0.8981, Acc.shelf: 0.5867, Acc.house: 0.7472, Acc.sea: 0.8424, Acc.mirror: 0.8576, Acc.rug: 0.8483, Acc.field: 0.5560, Acc.armchair: 0.7782, Acc.seat: 0.8851, Acc.fence: 0.6864, Acc.desk: 0.7873, Acc.rock: 0.7543, Acc.wardrobe: 0.7686, Acc.lamp: 0.8890, Acc.bathtub: 0.9407, Acc.railing: 0.6120, Acc.cushion: 0.8747, Acc.base: 0.7420, Acc.box: 0.5422, Acc.column: 0.7097, Acc.signboard: 0.6351, Acc.chest of drawers: 0.6146, Acc.counter: 0.7411, Acc.sand: 0.8933, Acc.sink: 0.9268, Acc.skyscraper: 0.5945, Acc.fireplace: 0.9309, Acc.refrigerator: 0.8846, Acc.grandstand: 0.8521, Acc.path: 0.4274, Acc.stairs: 0.4126, Acc.runway: 0.9731, Acc.case: 0.7857, Acc.pool table: 0.9778, Acc.pillow: 0.7397, Acc.screen door: 0.7449, Acc.stairway: 0.7355, Acc.river: 0.3841, Acc.bridge: 0.8917, Acc.bookcase: 0.6591, Acc.blind: 0.5130, Acc.coffee table: 0.8584, Acc.toilet: 0.9336, Acc.flower: 0.7198, Acc.book: 0.7980, Acc.hill: 0.1525, Acc.bench: 0.6428, Acc.countertop: 0.8181, Acc.stove: 0.8940, Acc.palm: 0.8236, Acc.kitchen island: 0.7981, Acc.computer: 0.8404, Acc.swivel chair: 0.8536, Acc.boat: 0.9159, Acc.bar: 0.6764, Acc.arcade machine: 0.6026, Acc.hovel: 0.4862, Acc.bus: 0.9620, Acc.towel: 0.9309, Acc.light: 0.7867, Acc.truck: 0.6487, Acc.tower: 0.4813, Acc.chandelier: 0.8848, Acc.awning: 0.5337, Acc.streetlight: 0.6993, Acc.booth: 0.7479, Acc.television receiver: 0.9447, Acc.airplane: 0.7747, Acc.dirt track: 0.5174, Acc.apparel: 0.8813, Acc.pole: 0.4809, Acc.land: 0.0606, Acc.bannister: 0.4020, Acc.escalator: 0.7944, Acc.ottoman: 0.7625, Acc.bottle: 0.4570, Acc.buffet: 0.6370, Acc.poster: 0.6038, Acc.stage: 0.4978, Acc.van: 0.7239, Acc.ship: 0.6318, Acc.fountain: 0.3816, Acc.conveyer belt: 0.9725, Acc.canopy: 0.8302, Acc.washer: 0.9380, Acc.plaything: 0.8070, Acc.swimming pool: 0.7545, Acc.stool: 0.8068, Acc.barrel: 0.9729, Acc.basket: 0.6515, Acc.waterfall: 0.6625, Acc.tent: 0.9778, Acc.bag: 0.5006, Acc.minibike: 0.9217, Acc.cradle: 0.9757, Acc.oven: 0.7929, Acc.ball: 0.4916, Acc.food: 0.8907, Acc.step: 0.2473, Acc.tank: 0.6761, Acc.trade name: 0.2965, Acc.microwave: 0.9689, Acc.pot: 0.7395, Acc.animal: 0.7398, Acc.bicycle: 0.8157, Acc.lake: 0.6361, Acc.dishwasher: 0.8451, Acc.screen: 0.9488, Acc.blanket: 0.4504, Acc.sculpture: 0.8958, Acc.hood: 0.7722, Acc.sconce: 0.7951, Acc.vase: 0.7825, Acc.traffic light: 0.7338, Acc.tray: 0.5118, Acc.ashcan: 0.7327, Acc.fan: 0.8473, Acc.pier: 0.7570, Acc.crt screen: 0.1448, Acc.plate: 0.8069, Acc.monitor: 0.1462, Acc.bulletin board: 0.6611, Acc.shower: 0.2682, Acc.radiator: 0.8959, Acc.glass: 0.2985, Acc.clock: 0.6751, Acc.flag: 0.8674 2022-05-01 17:42:46,930 - mmseg - INFO - Iter [48050/80000] lr: 5.734e-07, eta: 17:15:40, time: 5.038, data_time: 3.144, memory: 64716, decode.loss_cls: 0.2790, decode.loss_mask: 0.4992, decode.loss_dice: 0.7556, decode.d0.loss_cls: 1.3164, decode.d0.loss_mask: 0.5500, decode.d0.loss_dice: 0.8495, decode.d1.loss_cls: 0.3746, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8037, decode.d2.loss_cls: 0.3322, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7727, decode.d3.loss_cls: 0.3140, decode.d3.loss_mask: 0.5023, decode.d3.loss_dice: 0.7574, decode.d4.loss_cls: 0.3069, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7570, decode.d5.loss_cls: 0.2931, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7592, decode.d6.loss_cls: 0.2848, decode.d6.loss_mask: 0.4999, decode.d6.loss_dice: 0.7515, decode.d7.loss_cls: 0.2832, decode.d7.loss_mask: 0.4997, decode.d7.loss_dice: 0.7530, decode.d8.loss_cls: 0.2786, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7531, loss: 16.8604 2022-05-01 17:44:20,156 - mmseg - INFO - Iter [48100/80000] lr: 5.725e-07, eta: 17:14:00, time: 1.864, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2735, decode.loss_mask: 0.5142, decode.loss_dice: 0.7693, decode.d0.loss_cls: 1.2809, decode.d0.loss_mask: 0.5653, decode.d0.loss_dice: 0.8715, decode.d1.loss_cls: 0.3556, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.8251, decode.d2.loss_cls: 0.3112, decode.d2.loss_mask: 0.5275, decode.d2.loss_dice: 0.7989, decode.d3.loss_cls: 0.2942, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7809, decode.d4.loss_cls: 0.2827, decode.d4.loss_mask: 0.5184, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.2813, decode.d5.loss_mask: 0.5178, decode.d5.loss_dice: 0.7770, decode.d6.loss_cls: 0.2755, decode.d6.loss_mask: 0.5161, decode.d6.loss_dice: 0.7729, decode.d7.loss_cls: 0.2749, decode.d7.loss_mask: 0.5130, decode.d7.loss_dice: 0.7740, decode.d8.loss_cls: 0.2692, decode.d8.loss_mask: 0.5158, decode.d8.loss_dice: 0.7753, loss: 17.0733 2022-05-01 17:45:54,098 - mmseg - INFO - Iter [48150/80000] lr: 5.716e-07, eta: 17:12:20, time: 1.879, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2701, decode.loss_mask: 0.5138, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.2982, decode.d0.loss_mask: 0.5647, decode.d0.loss_dice: 0.8484, decode.d1.loss_cls: 0.3626, decode.d1.loss_mask: 0.5389, decode.d1.loss_dice: 0.7930, decode.d2.loss_cls: 0.3113, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.7612, decode.d3.loss_cls: 0.2962, decode.d3.loss_mask: 0.5167, decode.d3.loss_dice: 0.7395, decode.d4.loss_cls: 0.2794, decode.d4.loss_mask: 0.5166, decode.d4.loss_dice: 0.7467, decode.d5.loss_cls: 0.2766, decode.d5.loss_mask: 0.5160, decode.d5.loss_dice: 0.7374, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.5130, decode.d6.loss_dice: 0.7355, decode.d7.loss_cls: 0.2712, decode.d7.loss_mask: 0.5121, decode.d7.loss_dice: 0.7353, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5150, decode.d8.loss_dice: 0.7360, loss: 16.7057 2022-05-01 17:47:27,598 - mmseg - INFO - Iter [48200/80000] lr: 5.707e-07, eta: 17:10:41, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2558, decode.loss_mask: 0.5217, decode.loss_dice: 0.7376, decode.d0.loss_cls: 1.2813, decode.d0.loss_mask: 0.5648, decode.d0.loss_dice: 0.8367, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5515, decode.d1.loss_dice: 0.7908, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.5329, decode.d2.loss_dice: 0.7581, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7461, decode.d4.loss_cls: 0.2720, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.7457, decode.d5.loss_cls: 0.2669, decode.d5.loss_mask: 0.5250, decode.d5.loss_dice: 0.7421, decode.d6.loss_cls: 0.2589, decode.d6.loss_mask: 0.5231, decode.d6.loss_dice: 0.7414, decode.d7.loss_cls: 0.2557, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.7378, decode.d8.loss_cls: 0.2559, decode.d8.loss_mask: 0.5248, decode.d8.loss_dice: 0.7373, loss: 16.6626 2022-05-01 17:49:00,908 - mmseg - INFO - Iter [48250/80000] lr: 5.698e-07, eta: 17:09:01, time: 1.865, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2736, decode.loss_mask: 0.4910, decode.loss_dice: 0.7524, decode.d0.loss_cls: 1.3278, decode.d0.loss_mask: 0.5349, decode.d0.loss_dice: 0.8581, decode.d1.loss_cls: 0.3742, decode.d1.loss_mask: 0.5199, decode.d1.loss_dice: 0.8127, decode.d2.loss_cls: 0.3197, decode.d2.loss_mask: 0.5070, decode.d2.loss_dice: 0.7772, decode.d3.loss_cls: 0.2958, decode.d3.loss_mask: 0.5021, decode.d3.loss_dice: 0.7731, decode.d4.loss_cls: 0.2871, decode.d4.loss_mask: 0.4990, decode.d4.loss_dice: 0.7626, decode.d5.loss_cls: 0.2836, decode.d5.loss_mask: 0.4965, decode.d5.loss_dice: 0.7607, decode.d6.loss_cls: 0.2730, decode.d6.loss_mask: 0.4934, decode.d6.loss_dice: 0.7565, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.4916, decode.d7.loss_dice: 0.7541, decode.d8.loss_cls: 0.2707, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7532, loss: 16.7633 2022-05-01 17:50:35,640 - mmseg - INFO - Iter [48300/80000] lr: 5.690e-07, eta: 17:07:22, time: 1.894, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2900, decode.loss_mask: 0.5468, decode.loss_dice: 0.7528, decode.d0.loss_cls: 1.3018, decode.d0.loss_mask: 0.6018, decode.d0.loss_dice: 0.8594, decode.d1.loss_cls: 0.3816, decode.d1.loss_mask: 0.5673, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.3337, decode.d2.loss_mask: 0.5609, decode.d2.loss_dice: 0.7789, decode.d3.loss_cls: 0.3130, decode.d3.loss_mask: 0.5511, decode.d3.loss_dice: 0.7666, decode.d4.loss_cls: 0.3029, decode.d4.loss_mask: 0.5501, decode.d4.loss_dice: 0.7623, decode.d5.loss_cls: 0.2982, decode.d5.loss_mask: 0.5490, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.2891, decode.d6.loss_mask: 0.5481, decode.d6.loss_dice: 0.7541, decode.d7.loss_cls: 0.2916, decode.d7.loss_mask: 0.5470, decode.d7.loss_dice: 0.7571, decode.d8.loss_cls: 0.2872, decode.d8.loss_mask: 0.5470, decode.d8.loss_dice: 0.7552, loss: 17.4108 2022-05-01 17:52:09,602 - mmseg - INFO - Iter [48350/80000] lr: 5.681e-07, eta: 17:05:43, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2741, decode.loss_mask: 0.5138, decode.loss_dice: 0.7613, decode.d0.loss_cls: 1.2968, decode.d0.loss_mask: 0.5589, decode.d0.loss_dice: 0.8615, decode.d1.loss_cls: 0.3668, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.8179, decode.d2.loss_cls: 0.3155, decode.d2.loss_mask: 0.5246, decode.d2.loss_dice: 0.7856, decode.d3.loss_cls: 0.3026, decode.d3.loss_mask: 0.5182, decode.d3.loss_dice: 0.7740, decode.d4.loss_cls: 0.2894, decode.d4.loss_mask: 0.5184, decode.d4.loss_dice: 0.7710, decode.d5.loss_cls: 0.2829, decode.d5.loss_mask: 0.5171, decode.d5.loss_dice: 0.7681, decode.d6.loss_cls: 0.2808, decode.d6.loss_mask: 0.5150, decode.d6.loss_dice: 0.7631, decode.d7.loss_cls: 0.2754, decode.d7.loss_mask: 0.5161, decode.d7.loss_dice: 0.7622, decode.d8.loss_cls: 0.2748, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7592, loss: 17.0188 2022-05-01 17:53:44,810 - mmseg - INFO - Iter [48400/80000] lr: 5.672e-07, eta: 17:04:04, time: 1.905, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2973, decode.loss_mask: 0.4961, decode.loss_dice: 0.7285, decode.d0.loss_cls: 1.3220, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3818, decode.d1.loss_mask: 0.5253, decode.d1.loss_dice: 0.7869, decode.d2.loss_cls: 0.3407, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7615, decode.d3.loss_cls: 0.3225, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7461, decode.d4.loss_cls: 0.3136, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7425, decode.d5.loss_cls: 0.3059, decode.d5.loss_mask: 0.5006, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.3005, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7365, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.4975, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.4984, decode.d8.loss_dice: 0.7333, loss: 16.8113 2022-05-01 17:55:19,244 - mmseg - INFO - Iter [48450/80000] lr: 5.663e-07, eta: 17:02:25, time: 1.887, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2804, decode.loss_mask: 0.5194, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.2941, decode.d0.loss_mask: 0.5671, decode.d0.loss_dice: 0.8589, decode.d1.loss_cls: 0.3678, decode.d1.loss_mask: 0.5438, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3232, decode.d2.loss_mask: 0.5315, decode.d2.loss_dice: 0.7802, decode.d3.loss_cls: 0.3065, decode.d3.loss_mask: 0.5288, decode.d3.loss_dice: 0.7675, decode.d4.loss_cls: 0.2937, decode.d4.loss_mask: 0.5265, decode.d4.loss_dice: 0.7660, decode.d5.loss_cls: 0.2873, decode.d5.loss_mask: 0.5239, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2865, decode.d6.loss_mask: 0.5197, decode.d6.loss_dice: 0.7536, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.5216, decode.d7.loss_dice: 0.7517, decode.d8.loss_cls: 0.2808, decode.d8.loss_mask: 0.5205, decode.d8.loss_dice: 0.7507, loss: 17.0454 2022-05-01 17:56:53,893 - mmseg - INFO - Iter [48500/80000] lr: 5.654e-07, eta: 17:00:46, time: 1.894, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2854, decode.loss_mask: 0.4867, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.3457, decode.d0.loss_mask: 0.5354, decode.d0.loss_dice: 0.8473, decode.d1.loss_cls: 0.3722, decode.d1.loss_mask: 0.5102, decode.d1.loss_dice: 0.7915, decode.d2.loss_cls: 0.3315, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7562, decode.d3.loss_cls: 0.3095, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7420, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.4903, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2935, decode.d5.loss_mask: 0.4876, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2897, decode.d6.loss_mask: 0.4888, decode.d6.loss_dice: 0.7341, decode.d7.loss_cls: 0.2911, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2859, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7306, loss: 16.6122 2022-05-01 17:58:28,244 - mmseg - INFO - Iter [48550/80000] lr: 5.645e-07, eta: 16:59:07, time: 1.888, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2838, decode.loss_mask: 0.5373, decode.loss_dice: 0.7825, decode.d0.loss_cls: 1.2689, decode.d0.loss_mask: 0.5900, decode.d0.loss_dice: 0.8953, decode.d1.loss_cls: 0.3802, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8394, decode.d2.loss_cls: 0.3322, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.8052, decode.d3.loss_cls: 0.3117, decode.d3.loss_mask: 0.5410, decode.d3.loss_dice: 0.7938, decode.d4.loss_cls: 0.3046, decode.d4.loss_mask: 0.5399, decode.d4.loss_dice: 0.7903, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5404, decode.d5.loss_dice: 0.7898, decode.d6.loss_cls: 0.2877, decode.d6.loss_mask: 0.5380, decode.d6.loss_dice: 0.7841, decode.d7.loss_cls: 0.2867, decode.d7.loss_mask: 0.5379, decode.d7.loss_dice: 0.7817, decode.d8.loss_cls: 0.2781, decode.d8.loss_mask: 0.5388, decode.d8.loss_dice: 0.7820, loss: 17.5433 2022-05-01 18:00:06,189 - mmseg - INFO - Iter [48600/80000] lr: 5.636e-07, eta: 16:57:30, time: 1.958, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2746, decode.loss_mask: 0.5020, decode.loss_dice: 0.7634, decode.d0.loss_cls: 1.3031, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.8138, decode.d2.loss_cls: 0.3232, decode.d2.loss_mask: 0.5105, decode.d2.loss_dice: 0.7793, decode.d3.loss_cls: 0.2972, decode.d3.loss_mask: 0.5075, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.2928, decode.d4.loss_mask: 0.5038, decode.d4.loss_dice: 0.7716, decode.d5.loss_cls: 0.2823, decode.d5.loss_mask: 0.5053, decode.d5.loss_dice: 0.7708, decode.d6.loss_cls: 0.2789, decode.d6.loss_mask: 0.5033, decode.d6.loss_dice: 0.7630, decode.d7.loss_cls: 0.2747, decode.d7.loss_mask: 0.5018, decode.d7.loss_dice: 0.7651, decode.d8.loss_cls: 0.2785, decode.d8.loss_mask: 0.5017, decode.d8.loss_dice: 0.7643, loss: 16.9095 2022-05-01 18:01:37,632 - mmseg - INFO - Iter [48650/80000] lr: 5.627e-07, eta: 16:55:49, time: 1.829, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2733, decode.loss_mask: 0.5215, decode.loss_dice: 0.7556, decode.d0.loss_cls: 1.3176, decode.d0.loss_mask: 0.5618, decode.d0.loss_dice: 0.8479, decode.d1.loss_cls: 0.3664, decode.d1.loss_mask: 0.5502, decode.d1.loss_dice: 0.7999, decode.d2.loss_cls: 0.3178, decode.d2.loss_mask: 0.5376, decode.d2.loss_dice: 0.7734, decode.d3.loss_cls: 0.2954, decode.d3.loss_mask: 0.5287, decode.d3.loss_dice: 0.7586, decode.d4.loss_cls: 0.2855, decode.d4.loss_mask: 0.5256, decode.d4.loss_dice: 0.7571, decode.d5.loss_cls: 0.2859, decode.d5.loss_mask: 0.5237, decode.d5.loss_dice: 0.7516, decode.d6.loss_cls: 0.2773, decode.d6.loss_mask: 0.5216, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.2764, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2759, decode.d8.loss_mask: 0.5215, decode.d8.loss_dice: 0.7529, loss: 16.9876 2022-05-01 18:03:11,026 - mmseg - INFO - Iter [48700/80000] lr: 5.618e-07, eta: 16:54:10, time: 1.864, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2777, decode.loss_mask: 0.5201, decode.loss_dice: 0.7573, decode.d0.loss_cls: 1.2793, decode.d0.loss_mask: 0.5759, decode.d0.loss_dice: 0.8546, decode.d1.loss_cls: 0.3692, decode.d1.loss_mask: 0.5486, decode.d1.loss_dice: 0.8149, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.7863, decode.d3.loss_cls: 0.3001, decode.d3.loss_mask: 0.5249, decode.d3.loss_dice: 0.7707, decode.d4.loss_cls: 0.2967, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.7635, decode.d5.loss_cls: 0.2943, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7634, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7599, decode.d7.loss_cls: 0.2772, decode.d7.loss_mask: 0.5205, decode.d7.loss_dice: 0.7614, decode.d8.loss_cls: 0.2798, decode.d8.loss_mask: 0.5190, decode.d8.loss_dice: 0.7538, loss: 17.0686 2022-05-01 18:04:45,651 - mmseg - INFO - Iter [48750/80000] lr: 5.609e-07, eta: 16:52:31, time: 1.897, data_time: 0.020, memory: 64716, decode.loss_cls: 0.3026, decode.loss_mask: 0.5174, decode.loss_dice: 0.7772, decode.d0.loss_cls: 1.3045, decode.d0.loss_mask: 0.5579, decode.d0.loss_dice: 0.8861, decode.d1.loss_cls: 0.3828, decode.d1.loss_mask: 0.5392, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3405, decode.d2.loss_mask: 0.5293, decode.d2.loss_dice: 0.8022, decode.d3.loss_cls: 0.3245, decode.d3.loss_mask: 0.5231, decode.d3.loss_dice: 0.7848, decode.d4.loss_cls: 0.3196, decode.d4.loss_mask: 0.5208, decode.d4.loss_dice: 0.7842, decode.d5.loss_cls: 0.3084, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.7799, decode.d6.loss_cls: 0.3043, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7751, decode.d7.loss_cls: 0.2931, decode.d7.loss_mask: 0.5199, decode.d7.loss_dice: 0.7767, decode.d8.loss_cls: 0.3016, decode.d8.loss_mask: 0.5189, decode.d8.loss_dice: 0.7719, loss: 17.4081 2022-05-01 18:06:19,497 - mmseg - INFO - Iter [48800/80000] lr: 5.600e-07, eta: 16:50:52, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2771, decode.loss_mask: 0.5003, decode.loss_dice: 0.7373, decode.d0.loss_cls: 1.2774, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8317, decode.d1.loss_cls: 0.3685, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.7787, decode.d2.loss_cls: 0.3193, decode.d2.loss_mask: 0.5122, decode.d2.loss_dice: 0.7568, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5080, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.2877, decode.d4.loss_mask: 0.5050, decode.d4.loss_dice: 0.7446, decode.d5.loss_cls: 0.2850, decode.d5.loss_mask: 0.5025, decode.d5.loss_dice: 0.7418, decode.d6.loss_cls: 0.2797, decode.d6.loss_mask: 0.4999, decode.d6.loss_dice: 0.7347, decode.d7.loss_cls: 0.2796, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7368, decode.d8.loss_cls: 0.2805, decode.d8.loss_mask: 0.4984, decode.d8.loss_dice: 0.7367, loss: 16.5891 2022-05-01 18:07:52,476 - mmseg - INFO - Iter [48850/80000] lr: 5.591e-07, eta: 16:49:12, time: 1.859, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2622, decode.loss_mask: 0.4941, decode.loss_dice: 0.7314, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.5372, decode.d0.loss_dice: 0.8374, decode.d1.loss_cls: 0.3498, decode.d1.loss_mask: 0.5166, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.3031, decode.d2.loss_mask: 0.5035, decode.d2.loss_dice: 0.7574, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7475, decode.d4.loss_cls: 0.2789, decode.d4.loss_mask: 0.4970, decode.d4.loss_dice: 0.7462, decode.d5.loss_cls: 0.2740, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7406, decode.d6.loss_cls: 0.2677, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2632, decode.d7.loss_mask: 0.4938, decode.d7.loss_dice: 0.7353, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.4955, decode.d8.loss_dice: 0.7344, loss: 16.4068 2022-05-01 18:09:25,781 - mmseg - INFO - Iter [48900/80000] lr: 5.582e-07, eta: 16:47:32, time: 1.866, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2759, decode.loss_mask: 0.4793, decode.loss_dice: 0.7143, decode.d0.loss_cls: 1.3255, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.8247, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5038, decode.d1.loss_dice: 0.7733, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.4924, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7287, decode.d4.loss_cls: 0.2902, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7285, decode.d5.loss_cls: 0.2891, decode.d5.loss_mask: 0.4847, decode.d5.loss_dice: 0.7211, decode.d6.loss_cls: 0.2804, decode.d6.loss_mask: 0.4831, decode.d6.loss_dice: 0.7193, decode.d7.loss_cls: 0.2795, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2797, decode.d8.loss_mask: 0.4802, decode.d8.loss_dice: 0.7222, loss: 16.2906 2022-05-01 18:10:59,497 - mmseg - INFO - Iter [48950/80000] lr: 5.573e-07, eta: 16:45:53, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2767, decode.loss_mask: 0.5191, decode.loss_dice: 0.7676, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.5649, decode.d0.loss_dice: 0.8681, decode.d1.loss_cls: 0.3614, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8134, decode.d2.loss_cls: 0.3201, decode.d2.loss_mask: 0.5274, decode.d2.loss_dice: 0.7844, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.7781, decode.d4.loss_cls: 0.2940, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7716, decode.d5.loss_cls: 0.2881, decode.d5.loss_mask: 0.5195, decode.d5.loss_dice: 0.7716, decode.d6.loss_cls: 0.2848, decode.d6.loss_mask: 0.5174, decode.d6.loss_dice: 0.7717, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5176, decode.d7.loss_dice: 0.7699, decode.d8.loss_cls: 0.2790, decode.d8.loss_mask: 0.5183, decode.d8.loss_dice: 0.7668, loss: 17.1073 2022-05-01 18:12:33,908 - mmseg - INFO - Saving checkpoint at 49000 iterations 2022-05-01 18:13:09,255 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 18:13:09,266 - mmseg - INFO - Iter [49000/80000] lr: 5.564e-07, eta: 16:44:36, time: 2.593, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2787, decode.loss_mask: 0.5323, decode.loss_dice: 0.7653, decode.d0.loss_cls: 1.2962, decode.d0.loss_mask: 0.5803, decode.d0.loss_dice: 0.8736, decode.d1.loss_cls: 0.3577, decode.d1.loss_mask: 0.5571, decode.d1.loss_dice: 0.8173, decode.d2.loss_cls: 0.3111, decode.d2.loss_mask: 0.5471, decode.d2.loss_dice: 0.7941, decode.d3.loss_cls: 0.2894, decode.d3.loss_mask: 0.5374, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.2873, decode.d4.loss_mask: 0.5352, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.2795, decode.d5.loss_mask: 0.5364, decode.d5.loss_dice: 0.7754, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7647, decode.d7.loss_cls: 0.2753, decode.d7.loss_mask: 0.5330, decode.d7.loss_dice: 0.7662, decode.d8.loss_cls: 0.2777, decode.d8.loss_mask: 0.5335, decode.d8.loss_dice: 0.7669, loss: 17.2338 2022-05-01 18:14:42,867 - mmseg - INFO - Iter [49050/80000] lr: 5.555e-07, eta: 16:42:56, time: 1.874, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2742, decode.loss_mask: 0.4911, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8234, decode.d1.loss_cls: 0.3611, decode.d1.loss_mask: 0.5150, decode.d1.loss_dice: 0.7685, decode.d2.loss_cls: 0.3105, decode.d2.loss_mask: 0.5032, decode.d2.loss_dice: 0.7429, decode.d3.loss_cls: 0.2973, decode.d3.loss_mask: 0.4955, decode.d3.loss_dice: 0.7303, decode.d4.loss_cls: 0.2912, decode.d4.loss_mask: 0.4967, decode.d4.loss_dice: 0.7287, decode.d5.loss_cls: 0.2823, decode.d5.loss_mask: 0.4963, decode.d5.loss_dice: 0.7251, decode.d6.loss_cls: 0.2768, decode.d6.loss_mask: 0.4968, decode.d6.loss_dice: 0.7225, decode.d7.loss_cls: 0.2770, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2717, decode.d8.loss_mask: 0.4948, decode.d8.loss_dice: 0.7258, loss: 16.3897 2022-05-01 18:16:16,034 - mmseg - INFO - Iter [49100/80000] lr: 5.546e-07, eta: 16:41:17, time: 1.865, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2822, decode.loss_mask: 0.5055, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.3335, decode.d0.loss_mask: 0.5471, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3644, decode.d1.loss_mask: 0.5326, decode.d1.loss_dice: 0.7880, decode.d2.loss_cls: 0.3224, decode.d2.loss_mask: 0.5156, decode.d2.loss_dice: 0.7595, decode.d3.loss_cls: 0.3084, decode.d3.loss_mask: 0.5118, decode.d3.loss_dice: 0.7499, decode.d4.loss_cls: 0.2985, decode.d4.loss_mask: 0.5057, decode.d4.loss_dice: 0.7447, decode.d5.loss_cls: 0.2878, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7442, decode.d6.loss_cls: 0.2814, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2839, decode.d7.loss_mask: 0.5045, decode.d7.loss_dice: 0.7380, decode.d8.loss_cls: 0.2859, decode.d8.loss_mask: 0.5050, decode.d8.loss_dice: 0.7327, loss: 16.7440 2022-05-01 18:17:48,351 - mmseg - INFO - Iter [49150/80000] lr: 5.537e-07, eta: 16:39:36, time: 1.845, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2805, decode.loss_mask: 0.4930, decode.loss_dice: 0.7458, decode.d0.loss_cls: 1.3161, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3701, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.3240, decode.d2.loss_mask: 0.5028, decode.d2.loss_dice: 0.7649, decode.d3.loss_cls: 0.3026, decode.d3.loss_mask: 0.4998, decode.d3.loss_dice: 0.7514, decode.d4.loss_cls: 0.2992, decode.d4.loss_mask: 0.4991, decode.d4.loss_dice: 0.7479, decode.d5.loss_cls: 0.2922, decode.d5.loss_mask: 0.4928, decode.d5.loss_dice: 0.7438, decode.d6.loss_cls: 0.2892, decode.d6.loss_mask: 0.4947, decode.d6.loss_dice: 0.7356, decode.d7.loss_cls: 0.2824, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7378, decode.d8.loss_cls: 0.2823, decode.d8.loss_mask: 0.4951, decode.d8.loss_dice: 0.7413, loss: 16.6713 2022-05-01 18:19:22,206 - mmseg - INFO - Iter [49200/80000] lr: 5.528e-07, eta: 16:37:57, time: 1.877, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2792, decode.loss_mask: 0.5182, decode.loss_dice: 0.7679, decode.d0.loss_cls: 1.3426, decode.d0.loss_mask: 0.5627, decode.d0.loss_dice: 0.8712, decode.d1.loss_cls: 0.3840, decode.d1.loss_mask: 0.5419, decode.d1.loss_dice: 0.8219, decode.d2.loss_cls: 0.3319, decode.d2.loss_mask: 0.5278, decode.d2.loss_dice: 0.7918, decode.d3.loss_cls: 0.3042, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7746, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.5187, decode.d4.loss_dice: 0.7798, decode.d5.loss_cls: 0.2875, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7736, decode.d6.loss_cls: 0.2830, decode.d6.loss_mask: 0.5172, decode.d6.loss_dice: 0.7636, decode.d7.loss_cls: 0.2816, decode.d7.loss_mask: 0.5163, decode.d7.loss_dice: 0.7613, decode.d8.loss_cls: 0.2821, decode.d8.loss_mask: 0.5159, decode.d8.loss_dice: 0.7621, loss: 17.1963 2022-05-01 18:20:55,402 - mmseg - INFO - Iter [49250/80000] lr: 5.519e-07, eta: 16:36:17, time: 1.864, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2904, decode.loss_mask: 0.5098, decode.loss_dice: 0.7493, decode.d0.loss_cls: 1.2920, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8583, decode.d1.loss_cls: 0.3704, decode.d1.loss_mask: 0.5400, decode.d1.loss_dice: 0.8061, decode.d2.loss_cls: 0.3244, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.7778, decode.d3.loss_cls: 0.3104, decode.d3.loss_mask: 0.5170, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.3052, decode.d4.loss_mask: 0.5134, decode.d4.loss_dice: 0.7610, decode.d5.loss_cls: 0.2974, decode.d5.loss_mask: 0.5152, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2957, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7508, decode.d7.loss_cls: 0.2901, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7545, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5096, decode.d8.loss_dice: 0.7514, loss: 17.0005 2022-05-01 18:22:31,083 - mmseg - INFO - Iter [49300/80000] lr: 5.510e-07, eta: 16:34:39, time: 1.915, data_time: 0.064, memory: 64716, decode.loss_cls: 0.2702, decode.loss_mask: 0.4920, decode.loss_dice: 0.7465, decode.d0.loss_cls: 1.2848, decode.d0.loss_mask: 0.5383, decode.d0.loss_dice: 0.8506, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5164, decode.d1.loss_dice: 0.8028, decode.d2.loss_cls: 0.3127, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7610, decode.d4.loss_cls: 0.2889, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.2833, decode.d5.loss_mask: 0.4942, decode.d5.loss_dice: 0.7522, decode.d6.loss_cls: 0.2727, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7467, decode.d7.loss_cls: 0.2686, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.7501, decode.d8.loss_cls: 0.2678, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7482, loss: 16.5921 2022-05-01 18:24:02,641 - mmseg - INFO - Iter [49350/80000] lr: 5.501e-07, eta: 16:32:58, time: 1.829, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2735, decode.loss_mask: 0.4743, decode.loss_dice: 0.7424, decode.d0.loss_cls: 1.3421, decode.d0.loss_mask: 0.5216, decode.d0.loss_dice: 0.8386, decode.d1.loss_cls: 0.3648, decode.d1.loss_mask: 0.4996, decode.d1.loss_dice: 0.7969, decode.d2.loss_cls: 0.3248, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7630, decode.d3.loss_cls: 0.3072, decode.d3.loss_mask: 0.4801, decode.d3.loss_dice: 0.7532, decode.d4.loss_cls: 0.2964, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7464, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7458, decode.d6.loss_cls: 0.2839, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7395, decode.d7.loss_cls: 0.2790, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7400, decode.d8.loss_cls: 0.2749, decode.d8.loss_mask: 0.4751, decode.d8.loss_dice: 0.7395, loss: 16.4751 2022-05-01 18:25:35,228 - mmseg - INFO - Iter [49400/80000] lr: 5.492e-07, eta: 16:31:19, time: 1.854, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2851, decode.loss_mask: 0.5057, decode.loss_dice: 0.7596, decode.d0.loss_cls: 1.3377, decode.d0.loss_mask: 0.5484, decode.d0.loss_dice: 0.8626, decode.d1.loss_cls: 0.3772, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.8183, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5173, decode.d2.loss_dice: 0.7840, decode.d3.loss_cls: 0.3047, decode.d3.loss_mask: 0.5117, decode.d3.loss_dice: 0.7743, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7710, decode.d5.loss_cls: 0.2917, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7692, decode.d6.loss_cls: 0.2884, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7667, decode.d7.loss_cls: 0.2889, decode.d7.loss_mask: 0.5062, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.2885, decode.d8.loss_mask: 0.5066, decode.d8.loss_dice: 0.7633, loss: 17.0673 2022-05-01 18:27:08,519 - mmseg - INFO - Iter [49450/80000] lr: 5.483e-07, eta: 16:29:39, time: 1.866, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2559, decode.loss_mask: 0.5100, decode.loss_dice: 0.7332, decode.d0.loss_cls: 1.2520, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8276, decode.d1.loss_cls: 0.3425, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.7904, decode.d2.loss_cls: 0.2988, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7580, decode.d3.loss_cls: 0.2819, decode.d3.loss_mask: 0.5121, decode.d3.loss_dice: 0.7468, decode.d4.loss_cls: 0.2700, decode.d4.loss_mask: 0.5102, decode.d4.loss_dice: 0.7428, decode.d5.loss_cls: 0.2632, decode.d5.loss_mask: 0.5106, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2574, decode.d6.loss_mask: 0.5130, decode.d6.loss_dice: 0.7362, decode.d7.loss_cls: 0.2621, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7365, decode.d8.loss_cls: 0.2564, decode.d8.loss_mask: 0.5091, decode.d8.loss_dice: 0.7385, loss: 16.4715 2022-05-01 18:28:41,625 - mmseg - INFO - Iter [49500/80000] lr: 5.474e-07, eta: 16:27:59, time: 1.862, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2847, decode.loss_mask: 0.5053, decode.loss_dice: 0.7744, decode.d0.loss_cls: 1.3446, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8841, decode.d1.loss_cls: 0.3779, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3376, decode.d2.loss_mask: 0.5128, decode.d2.loss_dice: 0.7953, decode.d3.loss_cls: 0.3088, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7803, decode.d4.loss_cls: 0.3033, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.2978, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7760, decode.d6.loss_cls: 0.2897, decode.d6.loss_mask: 0.5030, decode.d6.loss_dice: 0.7718, decode.d7.loss_cls: 0.2845, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7731, decode.d8.loss_cls: 0.2869, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7721, loss: 17.1740 2022-05-01 18:30:13,574 - mmseg - INFO - Iter [49550/80000] lr: 5.465e-07, eta: 16:26:19, time: 1.838, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2845, decode.loss_mask: 0.5172, decode.loss_dice: 0.7521, decode.d0.loss_cls: 1.3195, decode.d0.loss_mask: 0.5654, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.3740, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8040, decode.d2.loss_cls: 0.3287, decode.d2.loss_mask: 0.5292, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.3098, decode.d3.loss_mask: 0.5218, decode.d3.loss_dice: 0.7665, decode.d4.loss_cls: 0.2968, decode.d4.loss_mask: 0.5182, decode.d4.loss_dice: 0.7621, decode.d5.loss_cls: 0.2951, decode.d5.loss_mask: 0.5180, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2848, decode.d6.loss_mask: 0.5173, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.5158, decode.d7.loss_dice: 0.7554, decode.d8.loss_cls: 0.2828, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7513, loss: 17.0579 2022-05-01 18:31:45,176 - mmseg - INFO - Iter [49600/80000] lr: 5.456e-07, eta: 16:24:38, time: 1.832, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2782, decode.loss_mask: 0.5013, decode.loss_dice: 0.7678, decode.d0.loss_cls: 1.2963, decode.d0.loss_mask: 0.5473, decode.d0.loss_dice: 0.8694, decode.d1.loss_cls: 0.3546, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.8215, decode.d2.loss_cls: 0.3152, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7870, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5042, decode.d3.loss_dice: 0.7755, decode.d4.loss_cls: 0.2913, decode.d4.loss_mask: 0.5034, decode.d4.loss_dice: 0.7730, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.5023, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.2783, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7677, decode.d7.loss_cls: 0.2768, decode.d7.loss_mask: 0.5018, decode.d7.loss_dice: 0.7690, decode.d8.loss_cls: 0.2790, decode.d8.loss_mask: 0.5007, decode.d8.loss_dice: 0.7688, loss: 16.9252 2022-05-01 18:33:17,784 - mmseg - INFO - Iter [49650/80000] lr: 5.447e-07, eta: 16:22:58, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2763, decode.loss_mask: 0.5034, decode.loss_dice: 0.7311, decode.d0.loss_cls: 1.2790, decode.d0.loss_mask: 0.5439, decode.d0.loss_dice: 0.8188, decode.d1.loss_cls: 0.3711, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7774, decode.d2.loss_cls: 0.3197, decode.d2.loss_mask: 0.5087, decode.d2.loss_dice: 0.7499, decode.d3.loss_cls: 0.2978, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2949, decode.d4.loss_mask: 0.5020, decode.d4.loss_dice: 0.7331, decode.d5.loss_cls: 0.2829, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7393, decode.d6.loss_cls: 0.2799, decode.d6.loss_mask: 0.4999, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2783, decode.d7.loss_mask: 0.5007, decode.d7.loss_dice: 0.7288, decode.d8.loss_cls: 0.2745, decode.d8.loss_mask: 0.5026, decode.d8.loss_dice: 0.7304, loss: 16.5208 2022-05-01 18:34:50,750 - mmseg - INFO - Iter [49700/80000] lr: 5.438e-07, eta: 16:21:19, time: 1.861, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2583, decode.loss_mask: 0.5151, decode.loss_dice: 0.7453, decode.d0.loss_cls: 1.2692, decode.d0.loss_mask: 0.5586, decode.d0.loss_dice: 0.8392, decode.d1.loss_cls: 0.3519, decode.d1.loss_mask: 0.5428, decode.d1.loss_dice: 0.7923, decode.d2.loss_cls: 0.3047, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.7691, decode.d3.loss_cls: 0.2878, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.7556, decode.d4.loss_cls: 0.2778, decode.d4.loss_mask: 0.5186, decode.d4.loss_dice: 0.7532, decode.d5.loss_cls: 0.2713, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7515, decode.d6.loss_cls: 0.2706, decode.d6.loss_mask: 0.5138, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2615, decode.d7.loss_mask: 0.5165, decode.d7.loss_dice: 0.7447, decode.d8.loss_cls: 0.2603, decode.d8.loss_mask: 0.5132, decode.d8.loss_dice: 0.7470, loss: 16.6974 2022-05-01 18:36:24,476 - mmseg - INFO - Iter [49750/80000] lr: 5.429e-07, eta: 16:19:39, time: 1.874, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2737, decode.loss_mask: 0.5006, decode.loss_dice: 0.7637, decode.d0.loss_cls: 1.3303, decode.d0.loss_mask: 0.5496, decode.d0.loss_dice: 0.8606, decode.d1.loss_cls: 0.3631, decode.d1.loss_mask: 0.5256, decode.d1.loss_dice: 0.8236, decode.d2.loss_cls: 0.3213, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7930, decode.d3.loss_cls: 0.3042, decode.d3.loss_mask: 0.5067, decode.d3.loss_dice: 0.7773, decode.d4.loss_cls: 0.2944, decode.d4.loss_mask: 0.5064, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.2896, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7699, decode.d6.loss_cls: 0.2833, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7663, decode.d7.loss_cls: 0.2774, decode.d7.loss_mask: 0.5032, decode.d7.loss_dice: 0.7663, decode.d8.loss_cls: 0.2746, decode.d8.loss_mask: 0.5004, decode.d8.loss_dice: 0.7682, loss: 16.9818 2022-05-01 18:37:55,304 - mmseg - INFO - Iter [49800/80000] lr: 5.420e-07, eta: 16:17:58, time: 1.817, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2598, decode.loss_mask: 0.4885, decode.loss_dice: 0.7527, decode.d0.loss_cls: 1.2758, decode.d0.loss_mask: 0.5338, decode.d0.loss_dice: 0.8477, decode.d1.loss_cls: 0.3579, decode.d1.loss_mask: 0.5091, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.3099, decode.d2.loss_mask: 0.4962, decode.d2.loss_dice: 0.7743, decode.d3.loss_cls: 0.2951, decode.d3.loss_mask: 0.4934, decode.d3.loss_dice: 0.7624, decode.d4.loss_cls: 0.2899, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7623, decode.d5.loss_cls: 0.2707, decode.d5.loss_mask: 0.4904, decode.d5.loss_dice: 0.7568, decode.d6.loss_cls: 0.2672, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7512, decode.d7.loss_cls: 0.2674, decode.d7.loss_mask: 0.4877, decode.d7.loss_dice: 0.7503, decode.d8.loss_cls: 0.2653, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7535, loss: 16.5422 2022-05-01 18:39:28,268 - mmseg - INFO - Iter [49850/80000] lr: 5.411e-07, eta: 16:16:19, time: 1.859, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2784, decode.loss_mask: 0.5145, decode.loss_dice: 0.7526, decode.d0.loss_cls: 1.3352, decode.d0.loss_mask: 0.5603, decode.d0.loss_dice: 0.8580, decode.d1.loss_cls: 0.3725, decode.d1.loss_mask: 0.5403, decode.d1.loss_dice: 0.8166, decode.d2.loss_cls: 0.3219, decode.d2.loss_mask: 0.5289, decode.d2.loss_dice: 0.7823, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7699, decode.d4.loss_cls: 0.2914, decode.d4.loss_mask: 0.5202, decode.d4.loss_dice: 0.7631, decode.d5.loss_cls: 0.2891, decode.d5.loss_mask: 0.5187, decode.d5.loss_dice: 0.7633, decode.d6.loss_cls: 0.2823, decode.d6.loss_mask: 0.5178, decode.d6.loss_dice: 0.7558, decode.d7.loss_cls: 0.2809, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7551, decode.d8.loss_cls: 0.2757, decode.d8.loss_mask: 0.5154, decode.d8.loss_dice: 0.7555, loss: 17.0500 2022-05-01 18:41:01,359 - mmseg - INFO - Iter [49900/80000] lr: 5.402e-07, eta: 16:14:39, time: 1.862, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2560, decode.loss_mask: 0.5125, decode.loss_dice: 0.7387, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.5617, decode.d0.loss_dice: 0.8398, decode.d1.loss_cls: 0.3451, decode.d1.loss_mask: 0.5308, decode.d1.loss_dice: 0.7911, decode.d2.loss_cls: 0.3035, decode.d2.loss_mask: 0.5209, decode.d2.loss_dice: 0.7673, decode.d3.loss_cls: 0.2827, decode.d3.loss_mask: 0.5148, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2750, decode.d4.loss_mask: 0.5152, decode.d4.loss_dice: 0.7477, decode.d5.loss_cls: 0.2696, decode.d5.loss_mask: 0.5121, decode.d5.loss_dice: 0.7455, decode.d6.loss_cls: 0.2640, decode.d6.loss_mask: 0.5132, decode.d6.loss_dice: 0.7418, decode.d7.loss_cls: 0.2560, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7401, decode.d8.loss_cls: 0.2548, decode.d8.loss_mask: 0.5138, decode.d8.loss_dice: 0.7454, loss: 16.6072 2022-05-01 18:42:35,314 - mmseg - INFO - Iter [49950/80000] lr: 5.393e-07, eta: 16:13:00, time: 1.879, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2848, decode.loss_mask: 0.4911, decode.loss_dice: 0.7341, decode.d0.loss_cls: 1.3019, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8441, decode.d1.loss_cls: 0.3728, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7895, decode.d2.loss_cls: 0.3270, decode.d2.loss_mask: 0.4997, decode.d2.loss_dice: 0.7630, decode.d3.loss_cls: 0.3064, decode.d3.loss_mask: 0.4970, decode.d3.loss_dice: 0.7473, decode.d4.loss_cls: 0.2990, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7449, decode.d5.loss_cls: 0.2958, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2823, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7400, decode.d7.loss_cls: 0.2867, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7357, decode.d8.loss_cls: 0.2856, decode.d8.loss_mask: 0.4909, decode.d8.loss_dice: 0.7362, loss: 16.6050 2022-05-01 18:44:09,357 - mmseg - INFO - Saving checkpoint at 50000 iterations 2022-05-01 18:44:33,791 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 18:44:33,804 - mmseg - INFO - Iter [50000/80000] lr: 5.384e-07, eta: 16:11:36, time: 2.367, data_time: 0.017, memory: 64716, decode.loss_cls: 0.3005, decode.loss_mask: 0.4969, decode.loss_dice: 0.7617, decode.d0.loss_cls: 1.3562, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8624, decode.d1.loss_cls: 0.3880, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.8204, decode.d2.loss_cls: 0.3312, decode.d2.loss_mask: 0.5084, decode.d2.loss_dice: 0.7900, decode.d3.loss_cls: 0.3241, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7764, decode.d4.loss_cls: 0.3160, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7723, decode.d5.loss_cls: 0.3064, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7706, decode.d6.loss_cls: 0.3005, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7649, decode.d7.loss_cls: 0.2989, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7615, decode.d8.loss_cls: 0.2979, decode.d8.loss_mask: 0.4960, decode.d8.loss_dice: 0.7619, loss: 17.1138 2022-05-01 18:46:08,057 - mmseg - INFO - Iter [50050/80000] lr: 5.375e-07, eta: 16:09:57, time: 1.887, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2662, decode.loss_mask: 0.5153, decode.loss_dice: 0.7336, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.5593, decode.d0.loss_dice: 0.8220, decode.d1.loss_cls: 0.3513, decode.d1.loss_mask: 0.5406, decode.d1.loss_dice: 0.7784, decode.d2.loss_cls: 0.3037, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.7551, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2796, decode.d4.loss_mask: 0.5187, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.5162, decode.d5.loss_dice: 0.7370, decode.d6.loss_cls: 0.2709, decode.d6.loss_mask: 0.5140, decode.d6.loss_dice: 0.7352, decode.d7.loss_cls: 0.2661, decode.d7.loss_mask: 0.5140, decode.d7.loss_dice: 0.7392, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.5152, decode.d8.loss_dice: 0.7342, loss: 16.5978 2022-05-01 18:47:40,630 - mmseg - INFO - Iter [50100/80000] lr: 5.366e-07, eta: 16:08:17, time: 1.853, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2779, decode.loss_mask: 0.5012, decode.loss_dice: 0.7287, decode.d0.loss_cls: 1.3261, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8342, decode.d1.loss_cls: 0.3720, decode.d1.loss_mask: 0.5204, decode.d1.loss_dice: 0.7839, decode.d2.loss_cls: 0.3221, decode.d2.loss_mask: 0.5104, decode.d2.loss_dice: 0.7606, decode.d3.loss_cls: 0.3114, decode.d3.loss_mask: 0.5037, decode.d3.loss_dice: 0.7415, decode.d4.loss_cls: 0.3018, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7393, decode.d5.loss_cls: 0.2946, decode.d5.loss_mask: 0.5032, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2867, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7305, decode.d7.loss_cls: 0.2835, decode.d7.loss_mask: 0.5005, decode.d7.loss_dice: 0.7287, decode.d8.loss_cls: 0.2778, decode.d8.loss_mask: 0.5004, decode.d8.loss_dice: 0.7328, loss: 16.6614 2022-05-01 18:49:13,285 - mmseg - INFO - Iter [50150/80000] lr: 5.357e-07, eta: 16:06:37, time: 1.852, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2693, decode.loss_mask: 0.4904, decode.loss_dice: 0.7410, decode.d0.loss_cls: 1.2957, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8421, decode.d1.loss_cls: 0.3501, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.8028, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7702, decode.d3.loss_cls: 0.2908, decode.d3.loss_mask: 0.4974, decode.d3.loss_dice: 0.7572, decode.d4.loss_cls: 0.2852, decode.d4.loss_mask: 0.4944, decode.d4.loss_dice: 0.7550, decode.d5.loss_cls: 0.2785, decode.d5.loss_mask: 0.4948, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.2766, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7405, decode.d7.loss_cls: 0.2737, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7374, decode.d8.loss_cls: 0.2676, decode.d8.loss_mask: 0.4906, decode.d8.loss_dice: 0.7451, loss: 16.5552 2022-05-01 18:50:47,203 - mmseg - INFO - Iter [50200/80000] lr: 5.349e-07, eta: 16:04:58, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2866, decode.loss_mask: 0.4911, decode.loss_dice: 0.7250, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5406, decode.d0.loss_dice: 0.8358, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5174, decode.d1.loss_dice: 0.7760, decode.d2.loss_cls: 0.3282, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7460, decode.d3.loss_cls: 0.3083, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.3012, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7326, decode.d5.loss_cls: 0.2973, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7349, decode.d6.loss_cls: 0.2898, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7256, decode.d7.loss_cls: 0.2916, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7278, decode.d8.loss_cls: 0.2843, decode.d8.loss_mask: 0.4900, decode.d8.loss_dice: 0.7228, loss: 16.5417 2022-05-01 18:52:21,089 - mmseg - INFO - Iter [50250/80000] lr: 5.340e-07, eta: 16:03:19, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2688, decode.loss_mask: 0.5033, decode.loss_dice: 0.7204, decode.d0.loss_cls: 1.2705, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.8199, decode.d1.loss_cls: 0.3594, decode.d1.loss_mask: 0.5274, decode.d1.loss_dice: 0.7722, decode.d2.loss_cls: 0.3111, decode.d2.loss_mask: 0.5139, decode.d2.loss_dice: 0.7370, decode.d3.loss_cls: 0.2934, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7267, decode.d4.loss_cls: 0.2803, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2800, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7253, decode.d6.loss_cls: 0.2683, decode.d6.loss_mask: 0.5031, decode.d6.loss_dice: 0.7238, decode.d7.loss_cls: 0.2674, decode.d7.loss_mask: 0.5052, decode.d7.loss_dice: 0.7221, decode.d8.loss_cls: 0.2642, decode.d8.loss_mask: 0.5039, decode.d8.loss_dice: 0.7179, loss: 16.3812 2022-05-01 18:53:53,989 - mmseg - INFO - Iter [50300/80000] lr: 5.331e-07, eta: 16:01:39, time: 1.858, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2693, decode.loss_mask: 0.4967, decode.loss_dice: 0.7230, decode.d0.loss_cls: 1.3006, decode.d0.loss_mask: 0.5433, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3476, decode.d1.loss_mask: 0.5187, decode.d1.loss_dice: 0.7764, decode.d2.loss_cls: 0.3128, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7507, decode.d3.loss_cls: 0.2954, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7347, decode.d4.loss_cls: 0.2834, decode.d4.loss_mask: 0.4977, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2845, decode.d5.loss_mask: 0.4970, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2757, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7213, decode.d7.loss_cls: 0.2746, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7193, decode.d8.loss_cls: 0.2710, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7210, loss: 16.3875 2022-05-01 18:55:26,734 - mmseg - INFO - Iter [50350/80000] lr: 5.322e-07, eta: 15:59:59, time: 1.855, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2767, decode.loss_mask: 0.5164, decode.loss_dice: 0.7666, decode.d0.loss_cls: 1.3069, decode.d0.loss_mask: 0.5659, decode.d0.loss_dice: 0.8674, decode.d1.loss_cls: 0.3609, decode.d1.loss_mask: 0.5426, decode.d1.loss_dice: 0.8242, decode.d2.loss_cls: 0.3196, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.7949, decode.d3.loss_cls: 0.2981, decode.d3.loss_mask: 0.5249, decode.d3.loss_dice: 0.7828, decode.d4.loss_cls: 0.2960, decode.d4.loss_mask: 0.5199, decode.d4.loss_dice: 0.7808, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7780, decode.d6.loss_cls: 0.2822, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7720, decode.d7.loss_cls: 0.2766, decode.d7.loss_mask: 0.5174, decode.d7.loss_dice: 0.7742, decode.d8.loss_cls: 0.2806, decode.d8.loss_mask: 0.5164, decode.d8.loss_dice: 0.7711, loss: 17.1689 2022-05-01 18:57:00,450 - mmseg - INFO - Iter [50400/80000] lr: 5.313e-07, eta: 15:58:20, time: 1.875, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2624, decode.loss_mask: 0.5416, decode.loss_dice: 0.7558, decode.d0.loss_cls: 1.3012, decode.d0.loss_mask: 0.5840, decode.d0.loss_dice: 0.8625, decode.d1.loss_cls: 0.3450, decode.d1.loss_mask: 0.5588, decode.d1.loss_dice: 0.8163, decode.d2.loss_cls: 0.3038, decode.d2.loss_mask: 0.5472, decode.d2.loss_dice: 0.7879, decode.d3.loss_cls: 0.2805, decode.d3.loss_mask: 0.5414, decode.d3.loss_dice: 0.7657, decode.d4.loss_cls: 0.2711, decode.d4.loss_mask: 0.5410, decode.d4.loss_dice: 0.7693, decode.d5.loss_cls: 0.2642, decode.d5.loss_mask: 0.5411, decode.d5.loss_dice: 0.7687, decode.d6.loss_cls: 0.2634, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.7589, decode.d7.loss_cls: 0.2584, decode.d7.loss_mask: 0.5394, decode.d7.loss_dice: 0.7598, decode.d8.loss_cls: 0.2614, decode.d8.loss_mask: 0.5412, decode.d8.loss_dice: 0.7586, loss: 17.0892 2022-05-01 18:58:33,601 - mmseg - INFO - Iter [50450/80000] lr: 5.304e-07, eta: 15:56:41, time: 1.863, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2846, decode.loss_mask: 0.5133, decode.loss_dice: 0.7413, decode.d0.loss_cls: 1.3059, decode.d0.loss_mask: 0.5592, decode.d0.loss_dice: 0.8419, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.7857, decode.d2.loss_cls: 0.3194, decode.d2.loss_mask: 0.5262, decode.d2.loss_dice: 0.7668, decode.d3.loss_cls: 0.3002, decode.d3.loss_mask: 0.5236, decode.d3.loss_dice: 0.7541, decode.d4.loss_cls: 0.2917, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7483, decode.d5.loss_cls: 0.2920, decode.d5.loss_mask: 0.5182, decode.d5.loss_dice: 0.7475, decode.d6.loss_cls: 0.2863, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7416, decode.d7.loss_cls: 0.2881, decode.d7.loss_mask: 0.5123, decode.d7.loss_dice: 0.7394, decode.d8.loss_cls: 0.2890, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7392, loss: 16.8612 2022-05-01 19:00:05,679 - mmseg - INFO - Iter [50500/80000] lr: 5.295e-07, eta: 15:55:01, time: 1.841, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2682, decode.loss_mask: 0.5101, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.2943, decode.d0.loss_mask: 0.5590, decode.d0.loss_dice: 0.8395, decode.d1.loss_cls: 0.3515, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.7961, decode.d2.loss_cls: 0.3073, decode.d2.loss_mask: 0.5261, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.2927, decode.d3.loss_mask: 0.5177, decode.d3.loss_dice: 0.7562, decode.d4.loss_cls: 0.2838, decode.d4.loss_mask: 0.5169, decode.d4.loss_dice: 0.7532, decode.d5.loss_cls: 0.2813, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7484, decode.d6.loss_cls: 0.2787, decode.d6.loss_mask: 0.5152, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.2732, decode.d7.loss_mask: 0.5121, decode.d7.loss_dice: 0.7437, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7389, loss: 16.7493 2022-05-01 19:01:39,119 - mmseg - INFO - Iter [50550/80000] lr: 5.286e-07, eta: 15:53:22, time: 1.870, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2713, decode.loss_mask: 0.4981, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.3448, decode.d0.loss_mask: 0.5482, decode.d0.loss_dice: 0.8596, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8073, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7762, decode.d3.loss_cls: 0.2945, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7617, decode.d4.loss_cls: 0.2811, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7608, decode.d5.loss_cls: 0.2779, decode.d5.loss_mask: 0.5022, decode.d5.loss_dice: 0.7534, decode.d6.loss_cls: 0.2770, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2686, decode.d7.loss_mask: 0.5007, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.2681, decode.d8.loss_mask: 0.5001, decode.d8.loss_dice: 0.7548, loss: 16.7764 2022-05-01 19:03:15,994 - mmseg - INFO - Iter [50600/80000] lr: 5.277e-07, eta: 15:51:44, time: 1.936, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2808, decode.loss_mask: 0.4984, decode.loss_dice: 0.7396, decode.d0.loss_cls: 1.3082, decode.d0.loss_mask: 0.5490, decode.d0.loss_dice: 0.8361, decode.d1.loss_cls: 0.3608, decode.d1.loss_mask: 0.5229, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.3151, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7709, decode.d3.loss_cls: 0.3024, decode.d3.loss_mask: 0.5060, decode.d3.loss_dice: 0.7522, decode.d4.loss_cls: 0.2932, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7508, decode.d5.loss_cls: 0.2848, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7486, decode.d6.loss_cls: 0.2848, decode.d6.loss_mask: 0.4973, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.2779, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7437, loss: 16.7051 2022-05-01 19:04:50,288 - mmseg - INFO - Iter [50650/80000] lr: 5.268e-07, eta: 15:50:06, time: 1.887, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2632, decode.loss_mask: 0.4944, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.3254, decode.d0.loss_mask: 0.5458, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3549, decode.d1.loss_mask: 0.5166, decode.d1.loss_dice: 0.7850, decode.d2.loss_cls: 0.3082, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7635, decode.d3.loss_cls: 0.2859, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.4986, decode.d4.loss_dice: 0.7526, decode.d5.loss_cls: 0.2682, decode.d5.loss_mask: 0.4979, decode.d5.loss_dice: 0.7509, decode.d6.loss_cls: 0.2716, decode.d6.loss_mask: 0.4964, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2629, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.4938, decode.d8.loss_dice: 0.7445, loss: 16.5346 2022-05-01 19:06:24,535 - mmseg - INFO - Iter [50700/80000] lr: 5.259e-07, eta: 15:48:27, time: 1.885, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2502, decode.loss_mask: 0.5086, decode.loss_dice: 0.7278, decode.d0.loss_cls: 1.2509, decode.d0.loss_mask: 0.5512, decode.d0.loss_dice: 0.8231, decode.d1.loss_cls: 0.3319, decode.d1.loss_mask: 0.5321, decode.d1.loss_dice: 0.7770, decode.d2.loss_cls: 0.3003, decode.d2.loss_mask: 0.5177, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2757, decode.d3.loss_mask: 0.5142, decode.d3.loss_dice: 0.7369, decode.d4.loss_cls: 0.2664, decode.d4.loss_mask: 0.5135, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2579, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7371, decode.d6.loss_cls: 0.2536, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7307, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.5102, decode.d7.loss_dice: 0.7301, decode.d8.loss_cls: 0.2525, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7310, loss: 16.3497 2022-05-01 19:07:57,878 - mmseg - INFO - Iter [50750/80000] lr: 5.250e-07, eta: 15:46:47, time: 1.866, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2451, decode.loss_mask: 0.5122, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.2676, decode.d0.loss_mask: 0.5630, decode.d0.loss_dice: 0.8337, decode.d1.loss_cls: 0.3285, decode.d1.loss_mask: 0.5381, decode.d1.loss_dice: 0.7889, decode.d2.loss_cls: 0.2844, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.7616, decode.d3.loss_cls: 0.2681, decode.d3.loss_mask: 0.5193, decode.d3.loss_dice: 0.7450, decode.d4.loss_cls: 0.2618, decode.d4.loss_mask: 0.5152, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.5167, decode.d5.loss_dice: 0.7428, decode.d6.loss_cls: 0.2524, decode.d6.loss_mask: 0.5135, decode.d6.loss_dice: 0.7383, decode.d7.loss_cls: 0.2442, decode.d7.loss_mask: 0.5131, decode.d7.loss_dice: 0.7392, decode.d8.loss_cls: 0.2492, decode.d8.loss_mask: 0.5137, decode.d8.loss_dice: 0.7371, loss: 16.4545 2022-05-01 19:09:31,433 - mmseg - INFO - Iter [50800/80000] lr: 5.241e-07, eta: 15:45:08, time: 1.870, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2802, decode.loss_mask: 0.5045, decode.loss_dice: 0.7217, decode.d0.loss_cls: 1.2722, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8281, decode.d1.loss_cls: 0.3557, decode.d1.loss_mask: 0.5362, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.3192, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7515, decode.d3.loss_cls: 0.3061, decode.d3.loss_mask: 0.5119, decode.d3.loss_dice: 0.7375, decode.d4.loss_cls: 0.2973, decode.d4.loss_mask: 0.5101, decode.d4.loss_dice: 0.7302, decode.d5.loss_cls: 0.2882, decode.d5.loss_mask: 0.5089, decode.d5.loss_dice: 0.7288, decode.d6.loss_cls: 0.2810, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7230, decode.d7.loss_cls: 0.2798, decode.d7.loss_mask: 0.5066, decode.d7.loss_dice: 0.7237, decode.d8.loss_cls: 0.2784, decode.d8.loss_mask: 0.5047, decode.d8.loss_dice: 0.7249, loss: 16.5826 2022-05-01 19:11:05,264 - mmseg - INFO - Iter [50850/80000] lr: 5.232e-07, eta: 15:43:29, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2491, decode.loss_mask: 0.4740, decode.loss_dice: 0.7042, decode.d0.loss_cls: 1.2937, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.8005, decode.d1.loss_cls: 0.3393, decode.d1.loss_mask: 0.4925, decode.d1.loss_dice: 0.7540, decode.d2.loss_cls: 0.2973, decode.d2.loss_mask: 0.4816, decode.d2.loss_dice: 0.7226, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.4751, decode.d3.loss_dice: 0.7097, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.4757, decode.d4.loss_dice: 0.7111, decode.d5.loss_cls: 0.2558, decode.d5.loss_mask: 0.4762, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2500, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7051, decode.d8.loss_cls: 0.2479, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7051, loss: 15.7693 2022-05-01 19:12:36,611 - mmseg - INFO - Iter [50900/80000] lr: 5.223e-07, eta: 15:41:49, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2678, decode.loss_mask: 0.5066, decode.loss_dice: 0.7625, decode.d0.loss_cls: 1.2986, decode.d0.loss_mask: 0.5528, decode.d0.loss_dice: 0.8671, decode.d1.loss_cls: 0.3642, decode.d1.loss_mask: 0.5330, decode.d1.loss_dice: 0.8201, decode.d2.loss_cls: 0.3180, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7841, decode.d3.loss_cls: 0.2995, decode.d3.loss_mask: 0.5115, decode.d3.loss_dice: 0.7758, decode.d4.loss_cls: 0.2845, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7736, decode.d5.loss_cls: 0.2758, decode.d5.loss_mask: 0.5106, decode.d5.loss_dice: 0.7738, decode.d6.loss_cls: 0.2744, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7652, decode.d7.loss_cls: 0.2647, decode.d7.loss_mask: 0.5113, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.2723, decode.d8.loss_mask: 0.5074, decode.d8.loss_dice: 0.7666, loss: 16.9453 2022-05-01 19:14:10,627 - mmseg - INFO - Iter [50950/80000] lr: 5.214e-07, eta: 15:40:10, time: 1.880, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2920, decode.loss_mask: 0.5073, decode.loss_dice: 0.7613, decode.d0.loss_cls: 1.3007, decode.d0.loss_mask: 0.5438, decode.d0.loss_dice: 0.8613, decode.d1.loss_cls: 0.3771, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.8192, decode.d2.loss_cls: 0.3311, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.7882, decode.d3.loss_cls: 0.3159, decode.d3.loss_mask: 0.5133, decode.d3.loss_dice: 0.7729, decode.d4.loss_cls: 0.3015, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7707, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5153, decode.d5.loss_dice: 0.7733, decode.d6.loss_cls: 0.2912, decode.d6.loss_mask: 0.5102, decode.d6.loss_dice: 0.7638, decode.d7.loss_cls: 0.2880, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7621, decode.d8.loss_cls: 0.2900, decode.d8.loss_mask: 0.5086, decode.d8.loss_dice: 0.7671, loss: 17.0915 2022-05-01 19:15:44,100 - mmseg - INFO - Saving checkpoint at 51000 iterations 2022-05-01 19:16:15,388 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 19:16:15,401 - mmseg - INFO - Iter [51000/80000] lr: 5.205e-07, eta: 15:38:49, time: 2.494, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2793, decode.loss_mask: 0.5053, decode.loss_dice: 0.7545, decode.d0.loss_cls: 1.2967, decode.d0.loss_mask: 0.5512, decode.d0.loss_dice: 0.8556, decode.d1.loss_cls: 0.3732, decode.d1.loss_mask: 0.5254, decode.d1.loss_dice: 0.8026, decode.d2.loss_cls: 0.3238, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7801, decode.d3.loss_cls: 0.3011, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7626, decode.d4.loss_cls: 0.2925, decode.d4.loss_mask: 0.5087, decode.d4.loss_dice: 0.7631, decode.d5.loss_cls: 0.2881, decode.d5.loss_mask: 0.5077, decode.d5.loss_dice: 0.7621, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.2792, decode.d7.loss_mask: 0.5069, decode.d7.loss_dice: 0.7614, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.5059, decode.d8.loss_dice: 0.7588, loss: 16.8940 2022-05-01 19:17:50,635 - mmseg - INFO - Iter [51050/80000] lr: 5.196e-07, eta: 15:37:11, time: 1.907, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2774, decode.loss_mask: 0.4811, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.3247, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8381, decode.d1.loss_cls: 0.3720, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7914, decode.d2.loss_cls: 0.3219, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7672, decode.d3.loss_cls: 0.3076, decode.d3.loss_mask: 0.4850, decode.d3.loss_dice: 0.7487, decode.d4.loss_cls: 0.2894, decode.d4.loss_mask: 0.4843, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2844, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7526, decode.d6.loss_cls: 0.2815, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7414, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.4825, decode.d7.loss_dice: 0.7442, decode.d8.loss_cls: 0.2729, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7439, loss: 16.5173 2022-05-01 19:19:22,826 - mmseg - INFO - Iter [51100/80000] lr: 5.187e-07, eta: 15:35:31, time: 1.845, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2823, decode.loss_mask: 0.5200, decode.loss_dice: 0.7384, decode.d0.loss_cls: 1.3161, decode.d0.loss_mask: 0.5627, decode.d0.loss_dice: 0.8423, decode.d1.loss_cls: 0.3650, decode.d1.loss_mask: 0.5463, decode.d1.loss_dice: 0.7930, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5308, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.3018, decode.d3.loss_mask: 0.5235, decode.d3.loss_dice: 0.7553, decode.d4.loss_cls: 0.3019, decode.d4.loss_mask: 0.5184, decode.d4.loss_dice: 0.7460, decode.d5.loss_cls: 0.2885, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7478, decode.d6.loss_cls: 0.2837, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7412, decode.d7.loss_cls: 0.2857, decode.d7.loss_mask: 0.5174, decode.d7.loss_dice: 0.7401, decode.d8.loss_cls: 0.2792, decode.d8.loss_mask: 0.5185, decode.d8.loss_dice: 0.7439, loss: 16.9137 2022-05-01 19:20:54,323 - mmseg - INFO - Iter [51150/80000] lr: 5.178e-07, eta: 15:33:50, time: 1.828, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2698, decode.loss_mask: 0.5028, decode.loss_dice: 0.7447, decode.d0.loss_cls: 1.2782, decode.d0.loss_mask: 0.5515, decode.d0.loss_dice: 0.8387, decode.d1.loss_cls: 0.3494, decode.d1.loss_mask: 0.5274, decode.d1.loss_dice: 0.7999, decode.d2.loss_cls: 0.3059, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7701, decode.d3.loss_cls: 0.2904, decode.d3.loss_mask: 0.5064, decode.d3.loss_dice: 0.7566, decode.d4.loss_cls: 0.2859, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7505, decode.d5.loss_cls: 0.2811, decode.d5.loss_mask: 0.5058, decode.d5.loss_dice: 0.7483, decode.d6.loss_cls: 0.2762, decode.d6.loss_mask: 0.5031, decode.d6.loss_dice: 0.7443, decode.d7.loss_cls: 0.2725, decode.d7.loss_mask: 0.5040, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2699, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7499, loss: 16.6558 2022-05-01 19:22:28,099 - mmseg - INFO - Iter [51200/80000] lr: 5.169e-07, eta: 15:32:11, time: 1.878, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2523, decode.loss_mask: 0.5168, decode.loss_dice: 0.7545, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5571, decode.d0.loss_dice: 0.8459, decode.d1.loss_cls: 0.3380, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.8042, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.5250, decode.d2.loss_dice: 0.7766, decode.d3.loss_cls: 0.2815, decode.d3.loss_mask: 0.5187, decode.d3.loss_dice: 0.7631, decode.d4.loss_cls: 0.2699, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7655, decode.d5.loss_cls: 0.2683, decode.d5.loss_mask: 0.5205, decode.d5.loss_dice: 0.7555, decode.d6.loss_cls: 0.2631, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7541, decode.d7.loss_cls: 0.2627, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7535, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.5165, decode.d8.loss_dice: 0.7539, loss: 16.7245 2022-05-01 19:24:00,730 - mmseg - INFO - Iter [51250/80000] lr: 5.160e-07, eta: 15:30:32, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2496, decode.loss_mask: 0.5019, decode.loss_dice: 0.7226, decode.d0.loss_cls: 1.3006, decode.d0.loss_mask: 0.5506, decode.d0.loss_dice: 0.8247, decode.d1.loss_cls: 0.3481, decode.d1.loss_mask: 0.5305, decode.d1.loss_dice: 0.7760, decode.d2.loss_cls: 0.3049, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7422, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5080, decode.d3.loss_dice: 0.7306, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.5051, decode.d4.loss_dice: 0.7301, decode.d5.loss_cls: 0.2631, decode.d5.loss_mask: 0.5061, decode.d5.loss_dice: 0.7300, decode.d6.loss_cls: 0.2543, decode.d6.loss_mask: 0.5062, decode.d6.loss_dice: 0.7237, decode.d7.loss_cls: 0.2552, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7250, decode.d8.loss_cls: 0.2506, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7228, loss: 16.3324 2022-05-01 19:25:35,214 - mmseg - INFO - Iter [51300/80000] lr: 5.151e-07, eta: 15:28:53, time: 1.893, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2733, decode.loss_mask: 0.5125, decode.loss_dice: 0.7546, decode.d0.loss_cls: 1.2964, decode.d0.loss_mask: 0.5564, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.3552, decode.d1.loss_mask: 0.5424, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5257, decode.d2.loss_dice: 0.7769, decode.d3.loss_cls: 0.2997, decode.d3.loss_mask: 0.5174, decode.d3.loss_dice: 0.7605, decode.d4.loss_cls: 0.2906, decode.d4.loss_mask: 0.5164, decode.d4.loss_dice: 0.7596, decode.d5.loss_cls: 0.2812, decode.d5.loss_mask: 0.5178, decode.d5.loss_dice: 0.7632, decode.d6.loss_cls: 0.2795, decode.d6.loss_mask: 0.5131, decode.d6.loss_dice: 0.7535, decode.d7.loss_cls: 0.2746, decode.d7.loss_mask: 0.5127, decode.d7.loss_dice: 0.7565, decode.d8.loss_cls: 0.2743, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7526, loss: 16.9052 2022-05-01 19:27:08,536 - mmseg - INFO - Iter [51350/80000] lr: 5.142e-07, eta: 15:27:14, time: 1.865, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2882, decode.loss_mask: 0.4957, decode.loss_dice: 0.7559, decode.d0.loss_cls: 1.3282, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8574, decode.d1.loss_cls: 0.3816, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.8120, decode.d2.loss_cls: 0.3373, decode.d2.loss_mask: 0.5061, decode.d2.loss_dice: 0.7780, decode.d3.loss_cls: 0.3178, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7693, decode.d4.loss_cls: 0.3043, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7654, decode.d5.loss_cls: 0.2979, decode.d5.loss_mask: 0.4990, decode.d5.loss_dice: 0.7620, decode.d6.loss_cls: 0.2929, decode.d6.loss_mask: 0.4970, decode.d6.loss_dice: 0.7616, decode.d7.loss_cls: 0.2880, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7562, decode.d8.loss_cls: 0.2895, decode.d8.loss_mask: 0.4975, decode.d8.loss_dice: 0.7627, loss: 16.9630 2022-05-01 19:28:41,993 - mmseg - INFO - Iter [51400/80000] lr: 5.133e-07, eta: 15:25:35, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2741, decode.loss_mask: 0.4838, decode.loss_dice: 0.7271, decode.d0.loss_cls: 1.3030, decode.d0.loss_mask: 0.5262, decode.d0.loss_dice: 0.8181, decode.d1.loss_cls: 0.3625, decode.d1.loss_mask: 0.5035, decode.d1.loss_dice: 0.7730, decode.d2.loss_cls: 0.3182, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7485, decode.d3.loss_cls: 0.3038, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2947, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7285, decode.d5.loss_cls: 0.2853, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7281, decode.d6.loss_cls: 0.2772, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7263, decode.d7.loss_cls: 0.2787, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7274, decode.d8.loss_cls: 0.2769, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7275, loss: 16.3412 2022-05-01 19:30:15,502 - mmseg - INFO - Iter [51450/80000] lr: 5.124e-07, eta: 15:23:56, time: 1.870, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2591, decode.loss_mask: 0.5107, decode.loss_dice: 0.7331, decode.d0.loss_cls: 1.3005, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8335, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.5328, decode.d1.loss_dice: 0.7788, decode.d2.loss_cls: 0.3146, decode.d2.loss_mask: 0.5162, decode.d2.loss_dice: 0.7545, decode.d3.loss_cls: 0.2956, decode.d3.loss_mask: 0.5136, decode.d3.loss_dice: 0.7389, decode.d4.loss_cls: 0.2829, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2758, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7345, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7330, decode.d7.loss_cls: 0.2685, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7313, decode.d8.loss_cls: 0.2647, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7314, loss: 16.5768 2022-05-01 19:31:48,397 - mmseg - INFO - Iter [51500/80000] lr: 5.115e-07, eta: 15:22:16, time: 1.859, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2657, decode.loss_mask: 0.4785, decode.loss_dice: 0.7197, decode.d0.loss_cls: 1.3022, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.8234, decode.d1.loss_cls: 0.3641, decode.d1.loss_mask: 0.4998, decode.d1.loss_dice: 0.7690, decode.d2.loss_cls: 0.3155, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7461, decode.d3.loss_cls: 0.2915, decode.d3.loss_mask: 0.4840, decode.d3.loss_dice: 0.7292, decode.d4.loss_cls: 0.2765, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.7365, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.4832, decode.d5.loss_dice: 0.7314, decode.d6.loss_cls: 0.2700, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7230, decode.d7.loss_cls: 0.2694, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2624, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7241, loss: 16.1935 2022-05-01 19:33:23,603 - mmseg - INFO - Iter [51550/80000] lr: 5.106e-07, eta: 15:20:38, time: 1.903, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2676, decode.loss_mask: 0.5085, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.2942, decode.d0.loss_mask: 0.5527, decode.d0.loss_dice: 0.8326, decode.d1.loss_cls: 0.3465, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7899, decode.d2.loss_cls: 0.3139, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7607, decode.d3.loss_cls: 0.2945, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2853, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7508, decode.d5.loss_cls: 0.2822, decode.d5.loss_mask: 0.5111, decode.d5.loss_dice: 0.7480, decode.d6.loss_cls: 0.2740, decode.d6.loss_mask: 0.5099, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.2717, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7429, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5082, decode.d8.loss_dice: 0.7445, loss: 16.6641 2022-05-01 19:34:57,676 - mmseg - INFO - Iter [51600/80000] lr: 5.097e-07, eta: 15:19:00, time: 1.882, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2751, decode.loss_mask: 0.4932, decode.loss_dice: 0.7471, decode.d0.loss_cls: 1.3081, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8491, decode.d1.loss_cls: 0.3729, decode.d1.loss_mask: 0.5127, decode.d1.loss_dice: 0.7977, decode.d2.loss_cls: 0.3260, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7724, decode.d3.loss_cls: 0.3017, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7586, decode.d4.loss_cls: 0.2929, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.7597, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7551, decode.d6.loss_cls: 0.2774, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7538, decode.d7.loss_cls: 0.2770, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7484, decode.d8.loss_cls: 0.2776, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7509, loss: 16.6894 2022-05-01 19:36:30,401 - mmseg - INFO - Iter [51650/80000] lr: 5.088e-07, eta: 15:17:20, time: 1.854, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2746, decode.loss_mask: 0.5188, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.3113, decode.d0.loss_mask: 0.5716, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3679, decode.d1.loss_mask: 0.5461, decode.d1.loss_dice: 0.7961, decode.d2.loss_cls: 0.3196, decode.d2.loss_mask: 0.5357, decode.d2.loss_dice: 0.7692, decode.d3.loss_cls: 0.2950, decode.d3.loss_mask: 0.5275, decode.d3.loss_dice: 0.7588, decode.d4.loss_cls: 0.2912, decode.d4.loss_mask: 0.5251, decode.d4.loss_dice: 0.7566, decode.d5.loss_cls: 0.2817, decode.d5.loss_mask: 0.5231, decode.d5.loss_dice: 0.7514, decode.d6.loss_cls: 0.2744, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7494, decode.d7.loss_cls: 0.2725, decode.d7.loss_mask: 0.5186, decode.d7.loss_dice: 0.7485, decode.d8.loss_cls: 0.2791, decode.d8.loss_mask: 0.5182, decode.d8.loss_dice: 0.7471, loss: 16.9442 2022-05-01 19:38:03,060 - mmseg - INFO - Iter [51700/80000] lr: 5.079e-07, eta: 15:15:41, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2677, decode.loss_mask: 0.5094, decode.loss_dice: 0.7548, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5500, decode.d0.loss_dice: 0.8598, decode.d1.loss_cls: 0.3449, decode.d1.loss_mask: 0.5320, decode.d1.loss_dice: 0.8094, decode.d2.loss_cls: 0.3077, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7804, decode.d3.loss_cls: 0.2895, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7651, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.5148, decode.d4.loss_dice: 0.7659, decode.d5.loss_cls: 0.2752, decode.d5.loss_mask: 0.5143, decode.d5.loss_dice: 0.7610, decode.d6.loss_cls: 0.2729, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.2671, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7584, decode.d8.loss_cls: 0.2728, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7521, loss: 16.7918 2022-05-01 19:39:35,691 - mmseg - INFO - Iter [51750/80000] lr: 5.070e-07, eta: 15:14:01, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2760, decode.loss_mask: 0.5270, decode.loss_dice: 0.7566, decode.d0.loss_cls: 1.2964, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.8662, decode.d1.loss_cls: 0.3675, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8134, decode.d2.loss_cls: 0.3240, decode.d2.loss_mask: 0.5415, decode.d2.loss_dice: 0.7770, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5351, decode.d3.loss_dice: 0.7677, decode.d4.loss_cls: 0.2985, decode.d4.loss_mask: 0.5364, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2917, decode.d5.loss_mask: 0.5328, decode.d5.loss_dice: 0.7615, decode.d6.loss_cls: 0.2825, decode.d6.loss_mask: 0.5312, decode.d6.loss_dice: 0.7560, decode.d7.loss_cls: 0.2847, decode.d7.loss_mask: 0.5289, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2776, decode.d8.loss_mask: 0.5262, decode.d8.loss_dice: 0.7565, loss: 17.1715 2022-05-01 19:41:08,191 - mmseg - INFO - Iter [51800/80000] lr: 5.061e-07, eta: 15:12:22, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2860, decode.loss_mask: 0.5033, decode.loss_dice: 0.7556, decode.d0.loss_cls: 1.3179, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8579, decode.d1.loss_cls: 0.3695, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.8159, decode.d2.loss_cls: 0.3266, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7711, decode.d3.loss_cls: 0.3029, decode.d3.loss_mask: 0.5105, decode.d3.loss_dice: 0.7686, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5061, decode.d4.loss_dice: 0.7617, decode.d5.loss_cls: 0.2883, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7650, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5045, decode.d6.loss_dice: 0.7596, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.5043, decode.d7.loss_dice: 0.7595, decode.d8.loss_cls: 0.2821, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7592, loss: 16.9305 2022-05-01 19:42:43,794 - mmseg - INFO - Iter [51850/80000] lr: 5.052e-07, eta: 15:10:44, time: 1.912, data_time: 0.066, memory: 64716, decode.loss_cls: 0.2694, decode.loss_mask: 0.5008, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5454, decode.d0.loss_dice: 0.8351, decode.d1.loss_cls: 0.3498, decode.d1.loss_mask: 0.5261, decode.d1.loss_dice: 0.7897, decode.d2.loss_cls: 0.3129, decode.d2.loss_mask: 0.5124, decode.d2.loss_dice: 0.7541, decode.d3.loss_cls: 0.2978, decode.d3.loss_mask: 0.5083, decode.d3.loss_dice: 0.7453, decode.d4.loss_cls: 0.2862, decode.d4.loss_mask: 0.5041, decode.d4.loss_dice: 0.7454, decode.d5.loss_cls: 0.2809, decode.d5.loss_mask: 0.5041, decode.d5.loss_dice: 0.7391, decode.d6.loss_cls: 0.2770, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7324, decode.d7.loss_cls: 0.2698, decode.d7.loss_mask: 0.4999, decode.d7.loss_dice: 0.7312, decode.d8.loss_cls: 0.2716, decode.d8.loss_mask: 0.4992, decode.d8.loss_dice: 0.7354, loss: 16.5760 2022-05-01 19:44:16,092 - mmseg - INFO - Iter [51900/80000] lr: 5.043e-07, eta: 15:09:04, time: 1.847, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2723, decode.loss_mask: 0.4865, decode.loss_dice: 0.7418, decode.d0.loss_cls: 1.2899, decode.d0.loss_mask: 0.5343, decode.d0.loss_dice: 0.8447, decode.d1.loss_cls: 0.3594, decode.d1.loss_mask: 0.5113, decode.d1.loss_dice: 0.7956, decode.d2.loss_cls: 0.3147, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7681, decode.d3.loss_cls: 0.2967, decode.d3.loss_mask: 0.4944, decode.d3.loss_dice: 0.7512, decode.d4.loss_cls: 0.2860, decode.d4.loss_mask: 0.4934, decode.d4.loss_dice: 0.7539, decode.d5.loss_cls: 0.2852, decode.d5.loss_mask: 0.4891, decode.d5.loss_dice: 0.7520, decode.d6.loss_cls: 0.2791, decode.d6.loss_mask: 0.4867, decode.d6.loss_dice: 0.7421, decode.d7.loss_cls: 0.2749, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2711, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7464, loss: 16.5434 2022-05-01 19:45:49,532 - mmseg - INFO - Iter [51950/80000] lr: 5.034e-07, eta: 15:07:25, time: 1.867, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2611, decode.loss_mask: 0.5013, decode.loss_dice: 0.7346, decode.d0.loss_cls: 1.2804, decode.d0.loss_mask: 0.5466, decode.d0.loss_dice: 0.8295, decode.d1.loss_cls: 0.3428, decode.d1.loss_mask: 0.5289, decode.d1.loss_dice: 0.7939, decode.d2.loss_cls: 0.2994, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.7558, decode.d3.loss_cls: 0.2873, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.2793, decode.d4.loss_mask: 0.5050, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2705, decode.d5.loss_mask: 0.5044, decode.d5.loss_dice: 0.7429, decode.d6.loss_cls: 0.2696, decode.d6.loss_mask: 0.5012, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2659, decode.d7.loss_mask: 0.5007, decode.d7.loss_dice: 0.7321, decode.d8.loss_cls: 0.2579, decode.d8.loss_mask: 0.5012, decode.d8.loss_dice: 0.7352, loss: 16.4649 2022-05-01 19:47:21,224 - mmseg - INFO - Saving checkpoint at 52000 iterations 2022-05-01 19:47:45,084 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 19:47:45,182 - mmseg - INFO - Iter [52000/80000] lr: 5.025e-07, eta: 15:05:58, time: 2.310, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2643, decode.loss_mask: 0.5116, decode.loss_dice: 0.7405, decode.d0.loss_cls: 1.2949, decode.d0.loss_mask: 0.5588, decode.d0.loss_dice: 0.8372, decode.d1.loss_cls: 0.3548, decode.d1.loss_mask: 0.5363, decode.d1.loss_dice: 0.7809, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.5201, decode.d2.loss_dice: 0.7652, decode.d3.loss_cls: 0.2934, decode.d3.loss_mask: 0.5200, decode.d3.loss_dice: 0.7499, decode.d4.loss_cls: 0.2828, decode.d4.loss_mask: 0.5171, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2769, decode.d5.loss_mask: 0.5171, decode.d5.loss_dice: 0.7455, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.5158, decode.d6.loss_dice: 0.7391, decode.d7.loss_cls: 0.2678, decode.d7.loss_mask: 0.5144, decode.d7.loss_dice: 0.7385, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5125, decode.d8.loss_dice: 0.7372, loss: 16.6961 2022-05-01 19:49:19,080 - mmseg - INFO - Iter [52050/80000] lr: 5.016e-07, eta: 15:04:19, time: 1.883, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2497, decode.loss_mask: 0.4995, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.5468, decode.d0.loss_dice: 0.8254, decode.d1.loss_cls: 0.3415, decode.d1.loss_mask: 0.5213, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.2944, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.2712, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.7339, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.5028, decode.d4.loss_dice: 0.7302, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7323, decode.d6.loss_cls: 0.2547, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7251, decode.d7.loss_cls: 0.2551, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2499, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7195, loss: 16.2429 2022-05-01 19:50:52,573 - mmseg - INFO - Iter [52100/80000] lr: 5.008e-07, eta: 15:02:40, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2803, decode.loss_mask: 0.5142, decode.loss_dice: 0.7642, decode.d0.loss_cls: 1.3091, decode.d0.loss_mask: 0.5578, decode.d0.loss_dice: 0.8681, decode.d1.loss_cls: 0.3587, decode.d1.loss_mask: 0.5349, decode.d1.loss_dice: 0.8154, decode.d2.loss_cls: 0.3165, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7843, decode.d3.loss_cls: 0.3027, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7701, decode.d4.loss_cls: 0.2974, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7687, decode.d5.loss_cls: 0.2900, decode.d5.loss_mask: 0.5151, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5131, decode.d6.loss_dice: 0.7626, decode.d7.loss_cls: 0.2810, decode.d7.loss_mask: 0.5124, decode.d7.loss_dice: 0.7611, decode.d8.loss_cls: 0.2793, decode.d8.loss_mask: 0.5102, decode.d8.loss_dice: 0.7651, loss: 17.0338 2022-05-01 19:52:24,666 - mmseg - INFO - Iter [52150/80000] lr: 4.999e-07, eta: 15:01:01, time: 1.842, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2724, decode.loss_mask: 0.4987, decode.loss_dice: 0.7563, decode.d0.loss_cls: 1.2933, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8672, decode.d1.loss_cls: 0.3708, decode.d1.loss_mask: 0.5209, decode.d1.loss_dice: 0.8132, decode.d2.loss_cls: 0.3227, decode.d2.loss_mask: 0.5079, decode.d2.loss_dice: 0.7796, decode.d3.loss_cls: 0.3025, decode.d3.loss_mask: 0.5065, decode.d3.loss_dice: 0.7728, decode.d4.loss_cls: 0.2897, decode.d4.loss_mask: 0.5048, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2803, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7616, decode.d6.loss_cls: 0.2743, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7587, decode.d7.loss_cls: 0.2711, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7589, decode.d8.loss_cls: 0.2645, decode.d8.loss_mask: 0.5010, decode.d8.loss_dice: 0.7569, loss: 16.8193 2022-05-01 19:53:57,306 - mmseg - INFO - Iter [52200/80000] lr: 4.990e-07, eta: 14:59:21, time: 1.851, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2522, decode.loss_mask: 0.4898, decode.loss_dice: 0.7330, decode.d0.loss_cls: 1.2770, decode.d0.loss_mask: 0.5360, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3372, decode.d1.loss_mask: 0.5160, decode.d1.loss_dice: 0.7883, decode.d2.loss_cls: 0.2952, decode.d2.loss_mask: 0.5009, decode.d2.loss_dice: 0.7556, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.4939, decode.d3.loss_dice: 0.7411, decode.d4.loss_cls: 0.2682, decode.d4.loss_mask: 0.4929, decode.d4.loss_dice: 0.7361, decode.d5.loss_cls: 0.2585, decode.d5.loss_mask: 0.4929, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2563, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7351, decode.d7.loss_cls: 0.2567, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2545, decode.d8.loss_mask: 0.4892, decode.d8.loss_dice: 0.7332, loss: 16.2729 2022-05-01 19:55:30,622 - mmseg - INFO - Iter [52250/80000] lr: 4.981e-07, eta: 14:57:42, time: 1.868, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2467, decode.loss_mask: 0.4969, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.2630, decode.d0.loss_mask: 0.5445, decode.d0.loss_dice: 0.8182, decode.d1.loss_cls: 0.3300, decode.d1.loss_mask: 0.5202, decode.d1.loss_dice: 0.7780, decode.d2.loss_cls: 0.2880, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7555, decode.d3.loss_cls: 0.2725, decode.d3.loss_mask: 0.5036, decode.d3.loss_dice: 0.7355, decode.d4.loss_cls: 0.2632, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7366, decode.d5.loss_cls: 0.2550, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2472, decode.d6.loss_mask: 0.4983, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2465, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7217, decode.d8.loss_cls: 0.2433, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7254, loss: 16.1797 2022-05-01 19:57:02,985 - mmseg - INFO - Iter [52300/80000] lr: 4.972e-07, eta: 14:56:03, time: 1.847, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2721, decode.loss_mask: 0.4999, decode.loss_dice: 0.7342, decode.d0.loss_cls: 1.3118, decode.d0.loss_mask: 0.5491, decode.d0.loss_dice: 0.8483, decode.d1.loss_cls: 0.3786, decode.d1.loss_mask: 0.5255, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3251, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7631, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.5044, decode.d3.loss_dice: 0.7461, decode.d4.loss_cls: 0.2948, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7478, decode.d5.loss_cls: 0.2833, decode.d5.loss_mask: 0.4998, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2820, decode.d6.loss_mask: 0.5005, decode.d6.loss_dice: 0.7394, decode.d7.loss_cls: 0.2808, decode.d7.loss_mask: 0.4985, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2766, decode.d8.loss_mask: 0.5008, decode.d8.loss_dice: 0.7348, loss: 16.6834 2022-05-01 19:58:34,529 - mmseg - INFO - Iter [52350/80000] lr: 4.963e-07, eta: 14:54:23, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2647, decode.loss_mask: 0.4824, decode.loss_dice: 0.7366, decode.d0.loss_cls: 1.2998, decode.d0.loss_mask: 0.5299, decode.d0.loss_dice: 0.8398, decode.d1.loss_cls: 0.3606, decode.d1.loss_mask: 0.5047, decode.d1.loss_dice: 0.7887, decode.d2.loss_cls: 0.3106, decode.d2.loss_mask: 0.4942, decode.d2.loss_dice: 0.7570, decode.d3.loss_cls: 0.2968, decode.d3.loss_mask: 0.4891, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.2870, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7478, decode.d5.loss_cls: 0.2776, decode.d5.loss_mask: 0.4870, decode.d5.loss_dice: 0.7417, decode.d6.loss_cls: 0.2745, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7360, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.4838, decode.d7.loss_dice: 0.7361, decode.d8.loss_cls: 0.2638, decode.d8.loss_mask: 0.4830, decode.d8.loss_dice: 0.7392, loss: 16.4016 2022-05-01 20:00:06,006 - mmseg - INFO - Iter [52400/80000] lr: 4.954e-07, eta: 14:52:43, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2618, decode.loss_mask: 0.5086, decode.loss_dice: 0.7511, decode.d0.loss_cls: 1.2633, decode.d0.loss_mask: 0.5462, decode.d0.loss_dice: 0.8418, decode.d1.loss_cls: 0.3437, decode.d1.loss_mask: 0.5295, decode.d1.loss_dice: 0.8037, decode.d2.loss_cls: 0.3098, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7715, decode.d3.loss_cls: 0.2912, decode.d3.loss_mask: 0.5126, decode.d3.loss_dice: 0.7589, decode.d4.loss_cls: 0.2840, decode.d4.loss_mask: 0.5083, decode.d4.loss_dice: 0.7559, decode.d5.loss_cls: 0.2766, decode.d5.loss_mask: 0.5102, decode.d5.loss_dice: 0.7519, decode.d6.loss_cls: 0.2711, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7488, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.5075, decode.d7.loss_dice: 0.7498, decode.d8.loss_cls: 0.2650, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7536, loss: 16.6732 2022-05-01 20:01:36,728 - mmseg - INFO - Iter [52450/80000] lr: 4.945e-07, eta: 14:51:02, time: 1.815, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2656, decode.loss_mask: 0.4779, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.2917, decode.d0.loss_mask: 0.5284, decode.d0.loss_dice: 0.8173, decode.d1.loss_cls: 0.3580, decode.d1.loss_mask: 0.5039, decode.d1.loss_dice: 0.7710, decode.d2.loss_cls: 0.3213, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7445, decode.d3.loss_cls: 0.2910, decode.d3.loss_mask: 0.4838, decode.d3.loss_dice: 0.7328, decode.d4.loss_cls: 0.2842, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2768, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7308, decode.d6.loss_cls: 0.2732, decode.d6.loss_mask: 0.4793, decode.d6.loss_dice: 0.7272, decode.d7.loss_cls: 0.2659, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7263, decode.d8.loss_cls: 0.2645, decode.d8.loss_mask: 0.4811, decode.d8.loss_dice: 0.7239, loss: 16.2062 2022-05-01 20:03:07,855 - mmseg - INFO - Iter [52500/80000] lr: 4.936e-07, eta: 14:49:22, time: 1.822, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2784, decode.loss_mask: 0.4971, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.3413, decode.d0.loss_mask: 0.5450, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3717, decode.d1.loss_mask: 0.5196, decode.d1.loss_dice: 0.7821, decode.d2.loss_cls: 0.3298, decode.d2.loss_mask: 0.5067, decode.d2.loss_dice: 0.7559, decode.d3.loss_cls: 0.3051, decode.d3.loss_mask: 0.4998, decode.d3.loss_dice: 0.7434, decode.d4.loss_cls: 0.2941, decode.d4.loss_mask: 0.4986, decode.d4.loss_dice: 0.7424, decode.d5.loss_cls: 0.2886, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7398, decode.d6.loss_cls: 0.2851, decode.d6.loss_mask: 0.4961, decode.d6.loss_dice: 0.7372, decode.d7.loss_cls: 0.2788, decode.d7.loss_mask: 0.4974, decode.d7.loss_dice: 0.7360, decode.d8.loss_cls: 0.2764, decode.d8.loss_mask: 0.4989, decode.d8.loss_dice: 0.7349, loss: 16.6338 2022-05-01 20:04:40,931 - mmseg - INFO - Iter [52550/80000] lr: 4.927e-07, eta: 14:47:43, time: 1.862, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2405, decode.loss_mask: 0.4809, decode.loss_dice: 0.7124, decode.d0.loss_cls: 1.2535, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.8080, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.4983, decode.d1.loss_dice: 0.7563, decode.d2.loss_cls: 0.2889, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7347, decode.d3.loss_cls: 0.2705, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2566, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2511, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7208, decode.d6.loss_cls: 0.2487, decode.d6.loss_mask: 0.4832, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2439, decode.d7.loss_mask: 0.4818, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2429, decode.d8.loss_mask: 0.4794, decode.d8.loss_dice: 0.7135, loss: 15.8308 2022-05-01 20:06:13,276 - mmseg - INFO - Iter [52600/80000] lr: 4.918e-07, eta: 14:46:04, time: 1.847, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2546, decode.loss_mask: 0.4799, decode.loss_dice: 0.7372, decode.d0.loss_cls: 1.2749, decode.d0.loss_mask: 0.5214, decode.d0.loss_dice: 0.8313, decode.d1.loss_cls: 0.3433, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7873, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7614, decode.d3.loss_cls: 0.2834, decode.d3.loss_mask: 0.4833, decode.d3.loss_dice: 0.7521, decode.d4.loss_cls: 0.2757, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7472, decode.d5.loss_cls: 0.2712, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2636, decode.d6.loss_mask: 0.4790, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2579, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7396, decode.d8.loss_cls: 0.2589, decode.d8.loss_mask: 0.4795, decode.d8.loss_dice: 0.7385, loss: 16.2411 2022-05-01 20:07:45,124 - mmseg - INFO - Iter [52650/80000] lr: 4.909e-07, eta: 14:44:24, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2568, decode.loss_mask: 0.4961, decode.loss_dice: 0.7300, decode.d0.loss_cls: 1.2842, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8309, decode.d1.loss_cls: 0.3408, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7753, decode.d2.loss_cls: 0.3026, decode.d2.loss_mask: 0.5059, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2820, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7374, decode.d4.loss_cls: 0.2686, decode.d4.loss_mask: 0.5009, decode.d4.loss_dice: 0.7363, decode.d5.loss_cls: 0.2609, decode.d5.loss_mask: 0.5014, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2609, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7289, decode.d7.loss_cls: 0.2548, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7310, decode.d8.loss_cls: 0.2568, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7304, loss: 16.3131 2022-05-01 20:09:17,984 - mmseg - INFO - Iter [52700/80000] lr: 4.900e-07, eta: 14:42:45, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2531, decode.loss_mask: 0.4985, decode.loss_dice: 0.7327, decode.d0.loss_cls: 1.2998, decode.d0.loss_mask: 0.5476, decode.d0.loss_dice: 0.8344, decode.d1.loss_cls: 0.3426, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.7878, decode.d2.loss_cls: 0.3017, decode.d2.loss_mask: 0.5098, decode.d2.loss_dice: 0.7573, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.5023, decode.d3.loss_dice: 0.7448, decode.d4.loss_cls: 0.2691, decode.d4.loss_mask: 0.5012, decode.d4.loss_dice: 0.7424, decode.d5.loss_cls: 0.2612, decode.d5.loss_mask: 0.5009, decode.d5.loss_dice: 0.7432, decode.d6.loss_cls: 0.2578, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7371, decode.d7.loss_cls: 0.2597, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7298, decode.d8.loss_cls: 0.2541, decode.d8.loss_mask: 0.5010, decode.d8.loss_dice: 0.7354, loss: 16.4108 2022-05-01 20:10:49,970 - mmseg - INFO - Iter [52750/80000] lr: 4.891e-07, eta: 14:41:05, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2891, decode.loss_mask: 0.4769, decode.loss_dice: 0.7444, decode.d0.loss_cls: 1.3302, decode.d0.loss_mask: 0.5166, decode.d0.loss_dice: 0.8471, decode.d1.loss_cls: 0.3885, decode.d1.loss_mask: 0.5002, decode.d1.loss_dice: 0.7991, decode.d2.loss_cls: 0.3355, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7728, decode.d3.loss_cls: 0.3110, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7592, decode.d4.loss_cls: 0.3014, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7623, decode.d5.loss_cls: 0.2963, decode.d5.loss_mask: 0.4830, decode.d5.loss_dice: 0.7556, decode.d6.loss_cls: 0.2920, decode.d6.loss_mask: 0.4802, decode.d6.loss_dice: 0.7525, decode.d7.loss_cls: 0.2915, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7501, decode.d8.loss_cls: 0.2907, decode.d8.loss_mask: 0.4785, decode.d8.loss_dice: 0.7479, loss: 16.6841 2022-05-01 20:12:20,842 - mmseg - INFO - Iter [52800/80000] lr: 4.882e-07, eta: 14:39:25, time: 1.817, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2744, decode.loss_mask: 0.4897, decode.loss_dice: 0.7364, decode.d0.loss_cls: 1.2897, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8364, decode.d1.loss_cls: 0.3625, decode.d1.loss_mask: 0.5112, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.3166, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7581, decode.d3.loss_cls: 0.2994, decode.d3.loss_mask: 0.4934, decode.d3.loss_dice: 0.7436, decode.d4.loss_cls: 0.2908, decode.d4.loss_mask: 0.4917, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2884, decode.d5.loss_mask: 0.4901, decode.d5.loss_dice: 0.7367, decode.d6.loss_cls: 0.2867, decode.d6.loss_mask: 0.4891, decode.d6.loss_dice: 0.7309, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.4897, decode.d7.loss_dice: 0.7361, decode.d8.loss_cls: 0.2729, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7353, loss: 16.4817 2022-05-01 20:13:53,033 - mmseg - INFO - Iter [52850/80000] lr: 4.873e-07, eta: 14:37:46, time: 1.844, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2673, decode.loss_mask: 0.5048, decode.loss_dice: 0.7450, decode.d0.loss_cls: 1.2837, decode.d0.loss_mask: 0.5577, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3717, decode.d1.loss_mask: 0.5298, decode.d1.loss_dice: 0.7989, decode.d2.loss_cls: 0.3118, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7697, decode.d3.loss_cls: 0.2950, decode.d3.loss_mask: 0.5130, decode.d3.loss_dice: 0.7505, decode.d4.loss_cls: 0.2855, decode.d4.loss_mask: 0.5105, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2809, decode.d5.loss_mask: 0.5083, decode.d5.loss_dice: 0.7462, decode.d6.loss_cls: 0.2739, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7438, decode.d7.loss_cls: 0.2704, decode.d7.loss_mask: 0.5056, decode.d7.loss_dice: 0.7428, decode.d8.loss_cls: 0.2671, decode.d8.loss_mask: 0.5068, decode.d8.loss_dice: 0.7404, loss: 16.6957 2022-05-01 20:15:26,311 - mmseg - INFO - Iter [52900/80000] lr: 4.864e-07, eta: 14:36:07, time: 1.866, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2765, decode.loss_mask: 0.5063, decode.loss_dice: 0.7493, decode.d0.loss_cls: 1.3139, decode.d0.loss_mask: 0.5515, decode.d0.loss_dice: 0.8553, decode.d1.loss_cls: 0.3665, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.8087, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.3065, decode.d3.loss_mask: 0.5115, decode.d3.loss_dice: 0.7638, decode.d4.loss_cls: 0.2932, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7645, decode.d5.loss_cls: 0.2865, decode.d5.loss_mask: 0.5056, decode.d5.loss_dice: 0.7592, decode.d6.loss_cls: 0.2835, decode.d6.loss_mask: 0.5064, decode.d6.loss_dice: 0.7504, decode.d7.loss_cls: 0.2745, decode.d7.loss_mask: 0.5052, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2764, decode.d8.loss_mask: 0.5075, decode.d8.loss_dice: 0.7520, loss: 16.8852 2022-05-01 20:17:00,190 - mmseg - INFO - Iter [52950/80000] lr: 4.855e-07, eta: 14:34:28, time: 1.877, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2714, decode.loss_mask: 0.5147, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.3138, decode.d0.loss_mask: 0.5598, decode.d0.loss_dice: 0.8581, decode.d1.loss_cls: 0.3583, decode.d1.loss_mask: 0.5377, decode.d1.loss_dice: 0.8082, decode.d2.loss_cls: 0.3166, decode.d2.loss_mask: 0.5264, decode.d2.loss_dice: 0.7830, decode.d3.loss_cls: 0.3000, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.7646, decode.d4.loss_cls: 0.2844, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7688, decode.d5.loss_cls: 0.2825, decode.d5.loss_mask: 0.5152, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.2771, decode.d6.loss_mask: 0.5141, decode.d6.loss_dice: 0.7543, decode.d7.loss_cls: 0.2697, decode.d7.loss_mask: 0.5157, decode.d7.loss_dice: 0.7635, decode.d8.loss_cls: 0.2705, decode.d8.loss_mask: 0.5128, decode.d8.loss_dice: 0.7564, loss: 16.9598 2022-05-01 20:18:31,487 - mmseg - INFO - Saving checkpoint at 53000 iterations 2022-05-01 20:18:49,898 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 20:18:49,903 - mmseg - INFO - Iter [53000/80000] lr: 4.846e-07, eta: 14:32:58, time: 2.194, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2397, decode.loss_mask: 0.5097, decode.loss_dice: 0.7269, decode.d0.loss_cls: 1.2524, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8227, decode.d1.loss_cls: 0.3239, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.7786, decode.d2.loss_cls: 0.2767, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7538, decode.d3.loss_cls: 0.2683, decode.d3.loss_mask: 0.5167, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.2593, decode.d4.loss_mask: 0.5148, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2528, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7312, decode.d7.loss_cls: 0.2412, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7289, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.5069, decode.d8.loss_dice: 0.7287, loss: 16.2819 2022-05-01 20:20:23,314 - mmseg - INFO - Iter [53050/80000] lr: 4.837e-07, eta: 14:31:19, time: 1.868, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2777, decode.loss_mask: 0.5043, decode.loss_dice: 0.7612, decode.d0.loss_cls: 1.3576, decode.d0.loss_mask: 0.5455, decode.d0.loss_dice: 0.8663, decode.d1.loss_cls: 0.3790, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.8173, decode.d2.loss_cls: 0.3330, decode.d2.loss_mask: 0.5127, decode.d2.loss_dice: 0.7867, decode.d3.loss_cls: 0.3118, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7758, decode.d4.loss_cls: 0.3017, decode.d4.loss_mask: 0.5069, decode.d4.loss_dice: 0.7708, decode.d5.loss_cls: 0.2883, decode.d5.loss_mask: 0.5090, decode.d5.loss_dice: 0.7693, decode.d6.loss_cls: 0.2847, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7619, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.5053, decode.d7.loss_dice: 0.7570, decode.d8.loss_cls: 0.2813, decode.d8.loss_mask: 0.5043, decode.d8.loss_dice: 0.7568, loss: 17.0501 2022-05-01 20:21:56,622 - mmseg - INFO - Iter [53100/80000] lr: 4.828e-07, eta: 14:29:40, time: 1.866, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2836, decode.loss_mask: 0.4982, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.3204, decode.d0.loss_mask: 0.5482, decode.d0.loss_dice: 0.8644, decode.d1.loss_cls: 0.3770, decode.d1.loss_mask: 0.5199, decode.d1.loss_dice: 0.8119, decode.d2.loss_cls: 0.3307, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7859, decode.d3.loss_cls: 0.3105, decode.d3.loss_mask: 0.5041, decode.d3.loss_dice: 0.7700, decode.d4.loss_cls: 0.2998, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7726, decode.d5.loss_cls: 0.2924, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7693, decode.d6.loss_cls: 0.2879, decode.d6.loss_mask: 0.5008, decode.d6.loss_dice: 0.7627, decode.d7.loss_cls: 0.2901, decode.d7.loss_mask: 0.5003, decode.d7.loss_dice: 0.7669, decode.d8.loss_cls: 0.2861, decode.d8.loss_mask: 0.5006, decode.d8.loss_dice: 0.7622, loss: 16.9899 2022-05-01 20:23:29,063 - mmseg - INFO - Iter [53150/80000] lr: 4.819e-07, eta: 14:28:01, time: 1.850, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2653, decode.loss_mask: 0.4934, decode.loss_dice: 0.7335, decode.d0.loss_cls: 1.3099, decode.d0.loss_mask: 0.5422, decode.d0.loss_dice: 0.8274, decode.d1.loss_cls: 0.3618, decode.d1.loss_mask: 0.5161, decode.d1.loss_dice: 0.7864, decode.d2.loss_cls: 0.3109, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7579, decode.d3.loss_cls: 0.2884, decode.d3.loss_mask: 0.4971, decode.d3.loss_dice: 0.7486, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.4970, decode.d4.loss_dice: 0.7452, decode.d5.loss_cls: 0.2735, decode.d5.loss_mask: 0.4967, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2701, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7365, decode.d7.loss_cls: 0.2659, decode.d7.loss_mask: 0.4934, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2644, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7357, loss: 16.4671 2022-05-01 20:25:00,631 - mmseg - INFO - Iter [53200/80000] lr: 4.810e-07, eta: 14:26:21, time: 1.831, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2593, decode.loss_mask: 0.4926, decode.loss_dice: 0.7308, decode.d0.loss_cls: 1.2896, decode.d0.loss_mask: 0.5365, decode.d0.loss_dice: 0.8229, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5141, decode.d1.loss_dice: 0.7726, decode.d2.loss_cls: 0.3037, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7488, decode.d3.loss_cls: 0.2907, decode.d3.loss_mask: 0.4966, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2768, decode.d4.loss_mask: 0.4968, decode.d4.loss_dice: 0.7357, decode.d5.loss_cls: 0.2661, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7348, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7249, decode.d7.loss_cls: 0.2595, decode.d7.loss_mask: 0.4946, decode.d7.loss_dice: 0.7281, decode.d8.loss_cls: 0.2597, decode.d8.loss_mask: 0.4950, decode.d8.loss_dice: 0.7283, loss: 16.3006 2022-05-01 20:26:33,267 - mmseg - INFO - Iter [53250/80000] lr: 4.801e-07, eta: 14:24:42, time: 1.853, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2610, decode.loss_mask: 0.5006, decode.loss_dice: 0.7332, decode.d0.loss_cls: 1.2757, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8191, decode.d1.loss_cls: 0.3627, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.3147, decode.d2.loss_mask: 0.5122, decode.d2.loss_dice: 0.7531, decode.d3.loss_cls: 0.2845, decode.d3.loss_mask: 0.5085, decode.d3.loss_dice: 0.7485, decode.d4.loss_cls: 0.2753, decode.d4.loss_mask: 0.5058, decode.d4.loss_dice: 0.7436, decode.d5.loss_cls: 0.2695, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7382, decode.d6.loss_cls: 0.2674, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2653, decode.d7.loss_mask: 0.5016, decode.d7.loss_dice: 0.7379, decode.d8.loss_cls: 0.2649, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7379, loss: 16.4623 2022-05-01 20:28:06,061 - mmseg - INFO - Iter [53300/80000] lr: 4.792e-07, eta: 14:23:03, time: 1.854, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2425, decode.loss_mask: 0.4977, decode.loss_dice: 0.7292, decode.d0.loss_cls: 1.2626, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8301, decode.d1.loss_cls: 0.3252, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.5094, decode.d2.loss_dice: 0.7573, decode.d3.loss_cls: 0.2664, decode.d3.loss_mask: 0.5045, decode.d3.loss_dice: 0.7422, decode.d4.loss_cls: 0.2604, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7434, decode.d5.loss_cls: 0.2540, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7405, decode.d6.loss_cls: 0.2498, decode.d6.loss_mask: 0.4994, decode.d6.loss_dice: 0.7351, decode.d7.loss_cls: 0.2501, decode.d7.loss_mask: 0.4991, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2438, decode.d8.loss_mask: 0.5001, decode.d8.loss_dice: 0.7323, loss: 16.2528 2022-05-01 20:29:38,955 - mmseg - INFO - Iter [53350/80000] lr: 4.783e-07, eta: 14:21:24, time: 1.859, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2749, decode.loss_mask: 0.5088, decode.loss_dice: 0.7353, decode.d0.loss_cls: 1.3077, decode.d0.loss_mask: 0.5493, decode.d0.loss_dice: 0.8323, decode.d1.loss_cls: 0.3583, decode.d1.loss_mask: 0.5333, decode.d1.loss_dice: 0.7928, decode.d2.loss_cls: 0.3188, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7624, decode.d3.loss_cls: 0.3015, decode.d3.loss_mask: 0.5116, decode.d3.loss_dice: 0.7475, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.5094, decode.d4.loss_dice: 0.7450, decode.d5.loss_cls: 0.2875, decode.d5.loss_mask: 0.5082, decode.d5.loss_dice: 0.7381, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7364, decode.d7.loss_cls: 0.2732, decode.d7.loss_mask: 0.5092, decode.d7.loss_dice: 0.7364, decode.d8.loss_cls: 0.2738, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7379, loss: 16.7007 2022-05-01 20:31:11,359 - mmseg - INFO - Iter [53400/80000] lr: 4.774e-07, eta: 14:19:44, time: 1.847, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2700, decode.loss_mask: 0.4968, decode.loss_dice: 0.7287, decode.d0.loss_cls: 1.2957, decode.d0.loss_mask: 0.5459, decode.d0.loss_dice: 0.8357, decode.d1.loss_cls: 0.3539, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7858, decode.d2.loss_cls: 0.3119, decode.d2.loss_mask: 0.5118, decode.d2.loss_dice: 0.7509, decode.d3.loss_cls: 0.2936, decode.d3.loss_mask: 0.5043, decode.d3.loss_dice: 0.7422, decode.d4.loss_cls: 0.2818, decode.d4.loss_mask: 0.5041, decode.d4.loss_dice: 0.7382, decode.d5.loss_cls: 0.2794, decode.d5.loss_mask: 0.4996, decode.d5.loss_dice: 0.7331, decode.d6.loss_cls: 0.2671, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7363, decode.d7.loss_cls: 0.2720, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7325, decode.d8.loss_cls: 0.2633, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7350, loss: 16.4906 2022-05-01 20:32:43,397 - mmseg - INFO - Iter [53450/80000] lr: 4.765e-07, eta: 14:18:05, time: 1.839, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2670, decode.loss_mask: 0.4985, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.2821, decode.d0.loss_mask: 0.5459, decode.d0.loss_dice: 0.8410, decode.d1.loss_cls: 0.3545, decode.d1.loss_mask: 0.5200, decode.d1.loss_dice: 0.7985, decode.d2.loss_cls: 0.3089, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7672, decode.d3.loss_cls: 0.2857, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7591, decode.d4.loss_cls: 0.2779, decode.d4.loss_mask: 0.5045, decode.d4.loss_dice: 0.7537, decode.d5.loss_cls: 0.2777, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.2724, decode.d6.loss_mask: 0.5004, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2651, decode.d7.loss_mask: 0.5005, decode.d7.loss_dice: 0.7474, decode.d8.loss_cls: 0.2642, decode.d8.loss_mask: 0.5009, decode.d8.loss_dice: 0.7458, loss: 16.5946 2022-05-01 20:34:14,887 - mmseg - INFO - Iter [53500/80000] lr: 4.756e-07, eta: 14:16:25, time: 1.831, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2665, decode.loss_mask: 0.4985, decode.loss_dice: 0.7356, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3505, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7869, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5084, decode.d2.loss_dice: 0.7583, decode.d3.loss_cls: 0.2930, decode.d3.loss_mask: 0.5036, decode.d3.loss_dice: 0.7400, decode.d4.loss_cls: 0.2837, decode.d4.loss_mask: 0.5013, decode.d4.loss_dice: 0.7443, decode.d5.loss_cls: 0.2759, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7398, decode.d6.loss_cls: 0.2696, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7414, decode.d7.loss_cls: 0.2682, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7380, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7320, loss: 16.4874 2022-05-01 20:35:47,488 - mmseg - INFO - Iter [53550/80000] lr: 4.747e-07, eta: 14:14:46, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2623, decode.loss_mask: 0.5001, decode.loss_dice: 0.7369, decode.d0.loss_cls: 1.2632, decode.d0.loss_mask: 0.5430, decode.d0.loss_dice: 0.8410, decode.d1.loss_cls: 0.3366, decode.d1.loss_mask: 0.5209, decode.d1.loss_dice: 0.7937, decode.d2.loss_cls: 0.3027, decode.d2.loss_mask: 0.5106, decode.d2.loss_dice: 0.7634, decode.d3.loss_cls: 0.2805, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7531, decode.d4.loss_cls: 0.2770, decode.d4.loss_mask: 0.5046, decode.d4.loss_dice: 0.7514, decode.d5.loss_cls: 0.2715, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7522, decode.d6.loss_cls: 0.2655, decode.d6.loss_mask: 0.4987, decode.d6.loss_dice: 0.7400, decode.d7.loss_cls: 0.2597, decode.d7.loss_mask: 0.5005, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2593, decode.d8.loss_mask: 0.5010, decode.d8.loss_dice: 0.7436, loss: 16.4825 2022-05-01 20:37:21,138 - mmseg - INFO - Iter [53600/80000] lr: 4.738e-07, eta: 14:13:08, time: 1.873, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2557, decode.loss_mask: 0.5236, decode.loss_dice: 0.7393, decode.d0.loss_cls: 1.2819, decode.d0.loss_mask: 0.5750, decode.d0.loss_dice: 0.8428, decode.d1.loss_cls: 0.3478, decode.d1.loss_mask: 0.5462, decode.d1.loss_dice: 0.7914, decode.d2.loss_cls: 0.2976, decode.d2.loss_mask: 0.5326, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2785, decode.d3.loss_mask: 0.5290, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.5284, decode.d4.loss_dice: 0.7470, decode.d5.loss_cls: 0.2666, decode.d5.loss_mask: 0.5256, decode.d5.loss_dice: 0.7436, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7406, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.5253, decode.d7.loss_dice: 0.7367, decode.d8.loss_cls: 0.2545, decode.d8.loss_mask: 0.5267, decode.d8.loss_dice: 0.7455, loss: 16.6933 2022-05-01 20:38:53,512 - mmseg - INFO - Iter [53650/80000] lr: 4.729e-07, eta: 14:11:28, time: 1.848, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2781, decode.loss_mask: 0.5029, decode.loss_dice: 0.7538, decode.d0.loss_cls: 1.3339, decode.d0.loss_mask: 0.5473, decode.d0.loss_dice: 0.8538, decode.d1.loss_cls: 0.3700, decode.d1.loss_mask: 0.5289, decode.d1.loss_dice: 0.8032, decode.d2.loss_cls: 0.3235, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.3017, decode.d3.loss_mask: 0.5070, decode.d3.loss_dice: 0.7632, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.5069, decode.d4.loss_dice: 0.7659, decode.d5.loss_cls: 0.2894, decode.d5.loss_mask: 0.5021, decode.d5.loss_dice: 0.7573, decode.d6.loss_cls: 0.2861, decode.d6.loss_mask: 0.5040, decode.d6.loss_dice: 0.7535, decode.d7.loss_cls: 0.2830, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.2767, decode.d8.loss_mask: 0.5013, decode.d8.loss_dice: 0.7552, loss: 16.8891 2022-05-01 20:40:25,264 - mmseg - INFO - Iter [53700/80000] lr: 4.720e-07, eta: 14:09:49, time: 1.835, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2640, decode.loss_mask: 0.4877, decode.loss_dice: 0.7441, decode.d0.loss_cls: 1.3022, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8347, decode.d1.loss_cls: 0.3492, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7876, decode.d2.loss_cls: 0.3106, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7669, decode.d3.loss_cls: 0.2905, decode.d3.loss_mask: 0.4875, decode.d3.loss_dice: 0.7501, decode.d4.loss_cls: 0.2815, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7492, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7467, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.4867, decode.d6.loss_dice: 0.7421, decode.d7.loss_cls: 0.2699, decode.d7.loss_mask: 0.4877, decode.d7.loss_dice: 0.7449, decode.d8.loss_cls: 0.2654, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7439, loss: 16.4321 2022-05-01 20:41:58,427 - mmseg - INFO - Iter [53750/80000] lr: 4.711e-07, eta: 14:08:10, time: 1.862, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2741, decode.loss_mask: 0.5050, decode.loss_dice: 0.7350, decode.d0.loss_cls: 1.3076, decode.d0.loss_mask: 0.5497, decode.d0.loss_dice: 0.8404, decode.d1.loss_cls: 0.3690, decode.d1.loss_mask: 0.5291, decode.d1.loss_dice: 0.7847, decode.d2.loss_cls: 0.3175, decode.d2.loss_mask: 0.5152, decode.d2.loss_dice: 0.7504, decode.d3.loss_cls: 0.3000, decode.d3.loss_mask: 0.5079, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2909, decode.d4.loss_mask: 0.5097, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.5071, decode.d5.loss_dice: 0.7346, decode.d6.loss_cls: 0.2815, decode.d6.loss_mask: 0.5063, decode.d6.loss_dice: 0.7320, decode.d7.loss_cls: 0.2809, decode.d7.loss_mask: 0.5052, decode.d7.loss_dice: 0.7304, decode.d8.loss_cls: 0.2783, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7337, loss: 16.6523 2022-05-01 20:43:30,970 - mmseg - INFO - Iter [53800/80000] lr: 4.702e-07, eta: 14:06:31, time: 1.851, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2639, decode.loss_mask: 0.5047, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.2830, decode.d0.loss_mask: 0.5472, decode.d0.loss_dice: 0.8515, decode.d1.loss_cls: 0.3547, decode.d1.loss_mask: 0.5271, decode.d1.loss_dice: 0.8063, decode.d2.loss_cls: 0.3122, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7749, decode.d3.loss_cls: 0.2915, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7569, decode.d4.loss_cls: 0.2824, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7564, decode.d5.loss_cls: 0.2733, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.2682, decode.d6.loss_mask: 0.5080, decode.d6.loss_dice: 0.7521, decode.d7.loss_cls: 0.2693, decode.d7.loss_mask: 0.5050, decode.d7.loss_dice: 0.7494, decode.d8.loss_cls: 0.2636, decode.d8.loss_mask: 0.5053, decode.d8.loss_dice: 0.7530, loss: 16.7098 2022-05-01 20:45:04,672 - mmseg - INFO - Iter [53850/80000] lr: 4.693e-07, eta: 14:04:53, time: 1.875, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2509, decode.loss_mask: 0.5053, decode.loss_dice: 0.7398, decode.d0.loss_cls: 1.2717, decode.d0.loss_mask: 0.5484, decode.d0.loss_dice: 0.8394, decode.d1.loss_cls: 0.3368, decode.d1.loss_mask: 0.5322, decode.d1.loss_dice: 0.7913, decode.d2.loss_cls: 0.2953, decode.d2.loss_mask: 0.5197, decode.d2.loss_dice: 0.7647, decode.d3.loss_cls: 0.2767, decode.d3.loss_mask: 0.5150, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2670, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7488, decode.d5.loss_cls: 0.2603, decode.d5.loss_mask: 0.5113, decode.d5.loss_dice: 0.7524, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.5084, decode.d6.loss_dice: 0.7459, decode.d7.loss_cls: 0.2520, decode.d7.loss_mask: 0.5082, decode.d7.loss_dice: 0.7434, decode.d8.loss_cls: 0.2523, decode.d8.loss_mask: 0.5062, decode.d8.loss_dice: 0.7433, loss: 16.5023 2022-05-01 20:46:37,590 - mmseg - INFO - Iter [53900/80000] lr: 4.684e-07, eta: 14:03:14, time: 1.858, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2602, decode.loss_mask: 0.5198, decode.loss_dice: 0.7652, decode.d0.loss_cls: 1.2949, decode.d0.loss_mask: 0.5644, decode.d0.loss_dice: 0.8636, decode.d1.loss_cls: 0.3563, decode.d1.loss_mask: 0.5425, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3049, decode.d2.loss_mask: 0.5301, decode.d2.loss_dice: 0.7852, decode.d3.loss_cls: 0.2854, decode.d3.loss_mask: 0.5255, decode.d3.loss_dice: 0.7758, decode.d4.loss_cls: 0.2793, decode.d4.loss_mask: 0.5233, decode.d4.loss_dice: 0.7743, decode.d5.loss_cls: 0.2763, decode.d5.loss_mask: 0.5238, decode.d5.loss_dice: 0.7705, decode.d6.loss_cls: 0.2657, decode.d6.loss_mask: 0.5201, decode.d6.loss_dice: 0.7631, decode.d7.loss_cls: 0.2639, decode.d7.loss_mask: 0.5195, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.2663, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7610, loss: 16.9772 2022-05-01 20:48:09,766 - mmseg - INFO - Iter [53950/80000] lr: 4.675e-07, eta: 14:01:35, time: 1.842, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2707, decode.loss_mask: 0.5209, decode.loss_dice: 0.7477, decode.d0.loss_cls: 1.2910, decode.d0.loss_mask: 0.5668, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3572, decode.d1.loss_mask: 0.5474, decode.d1.loss_dice: 0.8015, decode.d2.loss_cls: 0.3140, decode.d2.loss_mask: 0.5324, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.2939, decode.d3.loss_mask: 0.5269, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.2866, decode.d4.loss_mask: 0.5258, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.2856, decode.d5.loss_mask: 0.5246, decode.d5.loss_dice: 0.7517, decode.d6.loss_cls: 0.2739, decode.d6.loss_mask: 0.5218, decode.d6.loss_dice: 0.7503, decode.d7.loss_cls: 0.2692, decode.d7.loss_mask: 0.5209, decode.d7.loss_dice: 0.7459, decode.d8.loss_cls: 0.2667, decode.d8.loss_mask: 0.5218, decode.d8.loss_dice: 0.7488, loss: 16.8889 2022-05-01 20:49:42,164 - mmseg - INFO - Saving checkpoint at 54000 iterations 2022-05-01 20:50:00,539 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 20:50:00,540 - mmseg - INFO - Iter [54000/80000] lr: 4.667e-07, eta: 14:00:04, time: 2.217, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2591, decode.loss_mask: 0.4992, decode.loss_dice: 0.7236, decode.d0.loss_cls: 1.2984, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8223, decode.d1.loss_cls: 0.3579, decode.d1.loss_mask: 0.5205, decode.d1.loss_dice: 0.7758, decode.d2.loss_cls: 0.3002, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2811, decode.d3.loss_mask: 0.5076, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.5075, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2645, decode.d5.loss_mask: 0.5034, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2630, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7250, decode.d7.loss_cls: 0.2574, decode.d7.loss_mask: 0.5017, decode.d7.loss_dice: 0.7278, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7261, loss: 16.3566 2022-05-01 20:51:32,889 - mmseg - INFO - Iter [54050/80000] lr: 4.658e-07, eta: 13:58:25, time: 1.847, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2524, decode.loss_mask: 0.4669, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.2957, decode.d0.loss_mask: 0.5169, decode.d0.loss_dice: 0.8144, decode.d1.loss_cls: 0.3446, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7608, decode.d2.loss_cls: 0.2916, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.4732, decode.d3.loss_dice: 0.7241, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.4729, decode.d4.loss_dice: 0.7238, decode.d5.loss_cls: 0.2586, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.7202, decode.d6.loss_cls: 0.2565, decode.d6.loss_mask: 0.4686, decode.d6.loss_dice: 0.7149, decode.d7.loss_cls: 0.2537, decode.d7.loss_mask: 0.4687, decode.d7.loss_dice: 0.7108, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.7126, loss: 15.8497 2022-05-01 20:53:06,336 - mmseg - INFO - Iter [54100/80000] lr: 4.649e-07, eta: 13:56:47, time: 1.867, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2626, decode.loss_mask: 0.5055, decode.loss_dice: 0.7475, decode.d0.loss_cls: 1.2694, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8458, decode.d1.loss_cls: 0.3448, decode.d1.loss_mask: 0.5295, decode.d1.loss_dice: 0.7970, decode.d2.loss_cls: 0.3062, decode.d2.loss_mask: 0.5191, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2860, decode.d3.loss_mask: 0.5155, decode.d3.loss_dice: 0.7593, decode.d4.loss_cls: 0.2777, decode.d4.loss_mask: 0.5121, decode.d4.loss_dice: 0.7586, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.5108, decode.d5.loss_dice: 0.7566, decode.d6.loss_cls: 0.2680, decode.d6.loss_mask: 0.5069, decode.d6.loss_dice: 0.7490, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7547, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.5074, decode.d8.loss_dice: 0.7507, loss: 16.6626 2022-05-01 20:54:39,861 - mmseg - INFO - Iter [54150/80000] lr: 4.640e-07, eta: 13:55:08, time: 1.871, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2579, decode.loss_mask: 0.4851, decode.loss_dice: 0.7392, decode.d0.loss_cls: 1.2770, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8437, decode.d1.loss_cls: 0.3309, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7876, decode.d2.loss_cls: 0.2960, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7643, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.4931, decode.d3.loss_dice: 0.7460, decode.d4.loss_cls: 0.2664, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7419, decode.d5.loss_cls: 0.2643, decode.d5.loss_mask: 0.4925, decode.d5.loss_dice: 0.7472, decode.d6.loss_cls: 0.2613, decode.d6.loss_mask: 0.4902, decode.d6.loss_dice: 0.7404, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2546, decode.d8.loss_mask: 0.4883, decode.d8.loss_dice: 0.7394, loss: 16.3214 2022-05-01 20:56:13,537 - mmseg - INFO - Iter [54200/80000] lr: 4.631e-07, eta: 13:53:30, time: 1.873, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2670, decode.loss_mask: 0.4687, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.3024, decode.d0.loss_mask: 0.5067, decode.d0.loss_dice: 0.8132, decode.d1.loss_cls: 0.3530, decode.d1.loss_mask: 0.4855, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2926, decode.d3.loss_mask: 0.4725, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2820, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7192, decode.d5.loss_cls: 0.2734, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7195, decode.d6.loss_cls: 0.2681, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7133, decode.d7.loss_cls: 0.2674, decode.d7.loss_mask: 0.4693, decode.d7.loss_dice: 0.7100, decode.d8.loss_cls: 0.2650, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.7140, loss: 15.9471 2022-05-01 20:57:45,758 - mmseg - INFO - Iter [54250/80000] lr: 4.622e-07, eta: 13:51:50, time: 1.844, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2766, decode.loss_mask: 0.4863, decode.loss_dice: 0.7422, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.5313, decode.d0.loss_dice: 0.8534, decode.d1.loss_cls: 0.3701, decode.d1.loss_mask: 0.5088, decode.d1.loss_dice: 0.8038, decode.d2.loss_cls: 0.3298, decode.d2.loss_mask: 0.4993, decode.d2.loss_dice: 0.7701, decode.d3.loss_cls: 0.3034, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7521, decode.d4.loss_cls: 0.2930, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7537, decode.d5.loss_cls: 0.2911, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7491, decode.d6.loss_cls: 0.2808, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7470, decode.d7.loss_cls: 0.2781, decode.d7.loss_mask: 0.4855, decode.d7.loss_dice: 0.7470, decode.d8.loss_cls: 0.2789, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7472, loss: 16.6282 2022-05-01 20:59:18,494 - mmseg - INFO - Iter [54300/80000] lr: 4.613e-07, eta: 13:50:12, time: 1.855, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2790, decode.loss_mask: 0.5120, decode.loss_dice: 0.7461, decode.d0.loss_cls: 1.2965, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3611, decode.d1.loss_mask: 0.5364, decode.d1.loss_dice: 0.8014, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.5216, decode.d2.loss_dice: 0.7725, decode.d3.loss_cls: 0.3036, decode.d3.loss_mask: 0.5189, decode.d3.loss_dice: 0.7570, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5168, decode.d4.loss_dice: 0.7559, decode.d5.loss_cls: 0.2929, decode.d5.loss_mask: 0.5161, decode.d5.loss_dice: 0.7592, decode.d6.loss_cls: 0.2835, decode.d6.loss_mask: 0.5111, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2792, decode.d7.loss_mask: 0.5114, decode.d7.loss_dice: 0.7482, decode.d8.loss_cls: 0.2740, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7493, loss: 16.8815 2022-05-01 21:00:50,730 - mmseg - INFO - Iter [54350/80000] lr: 4.604e-07, eta: 13:48:32, time: 1.844, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2606, decode.loss_mask: 0.5020, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.2611, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8394, decode.d1.loss_cls: 0.3504, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.7895, decode.d2.loss_cls: 0.3115, decode.d2.loss_mask: 0.5144, decode.d2.loss_dice: 0.7674, decode.d3.loss_cls: 0.2845, decode.d3.loss_mask: 0.5089, decode.d3.loss_dice: 0.7535, decode.d4.loss_cls: 0.2790, decode.d4.loss_mask: 0.5056, decode.d4.loss_dice: 0.7546, decode.d5.loss_cls: 0.2712, decode.d5.loss_mask: 0.5053, decode.d5.loss_dice: 0.7458, decode.d6.loss_cls: 0.2678, decode.d6.loss_mask: 0.5032, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2607, decode.d7.loss_mask: 0.5045, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2614, decode.d8.loss_mask: 0.5046, decode.d8.loss_dice: 0.7361, loss: 16.5428 2022-05-01 21:02:25,832 - mmseg - INFO - Iter [54400/80000] lr: 4.595e-07, eta: 13:46:55, time: 1.902, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2464, decode.loss_mask: 0.5057, decode.loss_dice: 0.7502, decode.d0.loss_cls: 1.2621, decode.d0.loss_mask: 0.5514, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.5274, decode.d1.loss_dice: 0.8013, decode.d2.loss_cls: 0.2940, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7730, decode.d3.loss_cls: 0.2730, decode.d3.loss_mask: 0.5140, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.5123, decode.d4.loss_dice: 0.7584, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.5109, decode.d5.loss_dice: 0.7558, decode.d6.loss_cls: 0.2511, decode.d6.loss_mask: 0.5057, decode.d6.loss_dice: 0.7489, decode.d7.loss_cls: 0.2463, decode.d7.loss_mask: 0.5086, decode.d7.loss_dice: 0.7517, decode.d8.loss_cls: 0.2451, decode.d8.loss_mask: 0.5081, decode.d8.loss_dice: 0.7508, loss: 16.5461 2022-05-01 21:03:58,896 - mmseg - INFO - Iter [54450/80000] lr: 4.586e-07, eta: 13:45:16, time: 1.862, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2516, decode.loss_mask: 0.4929, decode.loss_dice: 0.7162, decode.d0.loss_cls: 1.3010, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8157, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.5204, decode.d1.loss_dice: 0.7713, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.4985, decode.d3.loss_dice: 0.7282, decode.d4.loss_cls: 0.2715, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7270, decode.d5.loss_cls: 0.2638, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7207, decode.d6.loss_cls: 0.2598, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7159, decode.d7.loss_cls: 0.2570, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7194, decode.d8.loss_cls: 0.2562, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7188, loss: 16.1802 2022-05-01 21:05:31,006 - mmseg - INFO - Iter [54500/80000] lr: 4.577e-07, eta: 13:43:37, time: 1.842, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2820, decode.loss_mask: 0.4785, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.3042, decode.d0.loss_mask: 0.5257, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3732, decode.d1.loss_mask: 0.5021, decode.d1.loss_dice: 0.7924, decode.d2.loss_cls: 0.3313, decode.d2.loss_mask: 0.4883, decode.d2.loss_dice: 0.7677, decode.d3.loss_cls: 0.3076, decode.d3.loss_mask: 0.4856, decode.d3.loss_dice: 0.7486, decode.d4.loss_cls: 0.3023, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7460, decode.d5.loss_cls: 0.2924, decode.d5.loss_mask: 0.4820, decode.d5.loss_dice: 0.7486, decode.d6.loss_cls: 0.2855, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7411, decode.d7.loss_cls: 0.2850, decode.d7.loss_mask: 0.4802, decode.d7.loss_dice: 0.7414, decode.d8.loss_cls: 0.2804, decode.d8.loss_mask: 0.4792, decode.d8.loss_dice: 0.7390, loss: 16.5369 2022-05-01 21:07:03,223 - mmseg - INFO - Iter [54550/80000] lr: 4.568e-07, eta: 13:41:58, time: 1.844, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2389, decode.loss_mask: 0.4767, decode.loss_dice: 0.7072, decode.d0.loss_cls: 1.2597, decode.d0.loss_mask: 0.5166, decode.d0.loss_dice: 0.7981, decode.d1.loss_cls: 0.3215, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7539, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7324, decode.d3.loss_cls: 0.2650, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7190, decode.d4.loss_cls: 0.2575, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7134, decode.d5.loss_cls: 0.2468, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7185, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2378, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7133, loss: 15.7048 2022-05-01 21:08:34,717 - mmseg - INFO - Iter [54600/80000] lr: 4.559e-07, eta: 13:40:18, time: 1.828, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2613, decode.loss_mask: 0.4952, decode.loss_dice: 0.7331, decode.d0.loss_cls: 1.2761, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8260, decode.d1.loss_cls: 0.3356, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.7890, decode.d2.loss_cls: 0.2947, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.2747, decode.d3.loss_mask: 0.5055, decode.d3.loss_dice: 0.7460, decode.d4.loss_cls: 0.2745, decode.d4.loss_mask: 0.5032, decode.d4.loss_dice: 0.7458, decode.d5.loss_cls: 0.2662, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7430, decode.d6.loss_cls: 0.2617, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7367, decode.d7.loss_cls: 0.2596, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2590, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7406, loss: 16.3919 2022-05-01 21:10:07,512 - mmseg - INFO - Iter [54650/80000] lr: 4.550e-07, eta: 13:38:39, time: 1.857, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2610, decode.loss_mask: 0.4798, decode.loss_dice: 0.6976, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5283, decode.d0.loss_dice: 0.7989, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.5120, decode.d1.loss_dice: 0.7565, decode.d2.loss_cls: 0.3071, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7269, decode.d3.loss_cls: 0.2882, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7134, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2718, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7060, decode.d6.loss_cls: 0.2651, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.6970, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.4810, decode.d7.loss_dice: 0.6994, decode.d8.loss_cls: 0.2587, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7007, loss: 15.9667 2022-05-01 21:11:39,778 - mmseg - INFO - Iter [54700/80000] lr: 4.541e-07, eta: 13:37:01, time: 1.847, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2676, decode.loss_mask: 0.4856, decode.loss_dice: 0.7470, decode.d0.loss_cls: 1.3295, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3605, decode.d1.loss_mask: 0.5092, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3042, decode.d2.loss_mask: 0.4946, decode.d2.loss_dice: 0.7765, decode.d3.loss_cls: 0.2880, decode.d3.loss_mask: 0.4907, decode.d3.loss_dice: 0.7633, decode.d4.loss_cls: 0.2768, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7617, decode.d5.loss_cls: 0.2695, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7591, decode.d6.loss_cls: 0.2718, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7487, decode.d7.loss_cls: 0.2716, decode.d7.loss_mask: 0.4845, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2652, decode.d8.loss_mask: 0.4845, decode.d8.loss_dice: 0.7508, loss: 16.5542 2022-05-01 21:13:11,631 - mmseg - INFO - Iter [54750/80000] lr: 4.532e-07, eta: 13:35:21, time: 1.836, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2388, decode.loss_mask: 0.4933, decode.loss_dice: 0.7076, decode.d0.loss_cls: 1.2731, decode.d0.loss_mask: 0.5310, decode.d0.loss_dice: 0.8046, decode.d1.loss_cls: 0.3282, decode.d1.loss_mask: 0.5092, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2863, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4955, decode.d3.loss_dice: 0.7173, decode.d4.loss_cls: 0.2503, decode.d4.loss_mask: 0.4972, decode.d4.loss_dice: 0.7181, decode.d5.loss_cls: 0.2510, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7110, decode.d6.loss_cls: 0.2404, decode.d6.loss_mask: 0.4932, decode.d6.loss_dice: 0.7140, decode.d7.loss_cls: 0.2404, decode.d7.loss_mask: 0.4931, decode.d7.loss_dice: 0.7106, decode.d8.loss_cls: 0.2389, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7107, loss: 15.8882 2022-05-01 21:14:44,562 - mmseg - INFO - Iter [54800/80000] lr: 4.523e-07, eta: 13:33:43, time: 1.860, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2503, decode.loss_mask: 0.4857, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.3183, decode.d0.loss_mask: 0.5332, decode.d0.loss_dice: 0.8502, decode.d1.loss_cls: 0.3404, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.7962, decode.d2.loss_cls: 0.2980, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2753, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7598, decode.d4.loss_cls: 0.2664, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7557, decode.d5.loss_cls: 0.2624, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7540, decode.d6.loss_cls: 0.2549, decode.d6.loss_mask: 0.4881, decode.d6.loss_dice: 0.7487, decode.d7.loss_cls: 0.2524, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7429, decode.d8.loss_cls: 0.2514, decode.d8.loss_mask: 0.4875, decode.d8.loss_dice: 0.7408, loss: 16.4138 2022-05-01 21:16:16,918 - mmseg - INFO - Iter [54850/80000] lr: 4.514e-07, eta: 13:32:04, time: 1.845, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2615, decode.loss_mask: 0.4981, decode.loss_dice: 0.7272, decode.d0.loss_cls: 1.3039, decode.d0.loss_mask: 0.5566, decode.d0.loss_dice: 0.8394, decode.d1.loss_cls: 0.3468, decode.d1.loss_mask: 0.5258, decode.d1.loss_dice: 0.7723, decode.d2.loss_cls: 0.2993, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7520, decode.d3.loss_cls: 0.2859, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7388, decode.d4.loss_cls: 0.2780, decode.d4.loss_mask: 0.5015, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2710, decode.d5.loss_mask: 0.5033, decode.d5.loss_dice: 0.7333, decode.d6.loss_cls: 0.2626, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7313, decode.d7.loss_cls: 0.2580, decode.d7.loss_mask: 0.5004, decode.d7.loss_dice: 0.7295, decode.d8.loss_cls: 0.2618, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7303, loss: 16.4216 2022-05-01 21:17:48,752 - mmseg - INFO - Iter [54900/80000] lr: 4.505e-07, eta: 13:30:24, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2587, decode.loss_mask: 0.4882, decode.loss_dice: 0.7280, decode.d0.loss_cls: 1.2883, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8270, decode.d1.loss_cls: 0.3445, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7780, decode.d2.loss_cls: 0.3021, decode.d2.loss_mask: 0.5003, decode.d2.loss_dice: 0.7524, decode.d3.loss_cls: 0.2815, decode.d3.loss_mask: 0.4934, decode.d3.loss_dice: 0.7393, decode.d4.loss_cls: 0.2748, decode.d4.loss_mask: 0.4918, decode.d4.loss_dice: 0.7326, decode.d5.loss_cls: 0.2696, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7402, decode.d6.loss_cls: 0.2670, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7256, decode.d7.loss_cls: 0.2651, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7219, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7290, loss: 16.2618 2022-05-01 21:19:19,686 - mmseg - INFO - Iter [54950/80000] lr: 4.496e-07, eta: 13:28:45, time: 1.820, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2456, decode.loss_mask: 0.4850, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.2433, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8212, decode.d1.loss_cls: 0.3299, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7721, decode.d2.loss_cls: 0.2856, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7459, decode.d3.loss_cls: 0.2653, decode.d3.loss_mask: 0.4906, decode.d3.loss_dice: 0.7346, decode.d4.loss_cls: 0.2605, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7306, decode.d5.loss_cls: 0.2583, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7257, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7255, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2447, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.7265, loss: 15.9960 2022-05-01 21:20:51,445 - mmseg - INFO - Saving checkpoint at 55000 iterations 2022-05-01 21:21:21,715 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 21:21:21,718 - mmseg - INFO - Iter [55000/80000] lr: 4.487e-07, eta: 13:27:19, time: 2.438, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2560, decode.loss_mask: 0.5013, decode.loss_dice: 0.7530, decode.d0.loss_cls: 1.2952, decode.d0.loss_mask: 0.5494, decode.d0.loss_dice: 0.8516, decode.d1.loss_cls: 0.3579, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.7985, decode.d2.loss_cls: 0.3141, decode.d2.loss_mask: 0.5097, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2868, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7670, decode.d4.loss_cls: 0.2762, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7597, decode.d5.loss_cls: 0.2698, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7573, decode.d6.loss_cls: 0.2648, decode.d6.loss_mask: 0.5030, decode.d6.loss_dice: 0.7514, decode.d7.loss_cls: 0.2621, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7514, decode.d8.loss_cls: 0.2586, decode.d8.loss_mask: 0.5016, decode.d8.loss_dice: 0.7556, loss: 16.6701 2022-05-01 21:22:54,312 - mmseg - INFO - Iter [55050/80000] lr: 4.478e-07, eta: 13:25:41, time: 1.854, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2465, decode.loss_mask: 0.5236, decode.loss_dice: 0.7592, decode.d0.loss_cls: 1.2559, decode.d0.loss_mask: 0.5748, decode.d0.loss_dice: 0.8606, decode.d1.loss_cls: 0.3366, decode.d1.loss_mask: 0.5504, decode.d1.loss_dice: 0.8115, decode.d2.loss_cls: 0.2923, decode.d2.loss_mask: 0.5385, decode.d2.loss_dice: 0.7874, decode.d3.loss_cls: 0.2808, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7728, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.5283, decode.d4.loss_dice: 0.7663, decode.d5.loss_cls: 0.2634, decode.d5.loss_mask: 0.5266, decode.d5.loss_dice: 0.7574, decode.d6.loss_cls: 0.2553, decode.d6.loss_mask: 0.5241, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.2500, decode.d7.loss_mask: 0.5254, decode.d7.loss_dice: 0.7565, decode.d8.loss_cls: 0.2485, decode.d8.loss_mask: 0.5236, decode.d8.loss_dice: 0.7570, loss: 16.8216 2022-05-01 21:24:25,330 - mmseg - INFO - Iter [55100/80000] lr: 4.469e-07, eta: 13:24:01, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2382, decode.loss_mask: 0.5113, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.2537, decode.d0.loss_mask: 0.5540, decode.d0.loss_dice: 0.8347, decode.d1.loss_cls: 0.3235, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.7649, decode.d3.loss_cls: 0.2626, decode.d3.loss_mask: 0.5158, decode.d3.loss_dice: 0.7513, decode.d4.loss_cls: 0.2554, decode.d4.loss_mask: 0.5156, decode.d4.loss_dice: 0.7528, decode.d5.loss_cls: 0.2526, decode.d5.loss_mask: 0.5128, decode.d5.loss_dice: 0.7488, decode.d6.loss_cls: 0.2437, decode.d6.loss_mask: 0.5135, decode.d6.loss_dice: 0.7513, decode.d7.loss_cls: 0.2441, decode.d7.loss_mask: 0.5112, decode.d7.loss_dice: 0.7460, decode.d8.loss_cls: 0.2429, decode.d8.loss_mask: 0.5101, decode.d8.loss_dice: 0.7436, loss: 16.4242 2022-05-01 21:25:56,593 - mmseg - INFO - Iter [55150/80000] lr: 4.460e-07, eta: 13:22:22, time: 1.825, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2499, decode.loss_mask: 0.5101, decode.loss_dice: 0.7370, decode.d0.loss_cls: 1.2881, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8316, decode.d1.loss_cls: 0.3506, decode.d1.loss_mask: 0.5311, decode.d1.loss_dice: 0.7792, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.5173, decode.d2.loss_dice: 0.7551, decode.d3.loss_cls: 0.2736, decode.d3.loss_mask: 0.5163, decode.d3.loss_dice: 0.7486, decode.d4.loss_cls: 0.2693, decode.d4.loss_mask: 0.5135, decode.d4.loss_dice: 0.7432, decode.d5.loss_cls: 0.2621, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7426, decode.d6.loss_cls: 0.2592, decode.d6.loss_mask: 0.5095, decode.d6.loss_dice: 0.7386, decode.d7.loss_cls: 0.2577, decode.d7.loss_mask: 0.5068, decode.d7.loss_dice: 0.7378, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.5094, decode.d8.loss_dice: 0.7386, loss: 16.4861 2022-05-01 21:27:26,211 - mmseg - INFO - Iter [55200/80000] lr: 4.451e-07, eta: 13:20:42, time: 1.791, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2519, decode.loss_mask: 0.5127, decode.loss_dice: 0.7489, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.5629, decode.d0.loss_dice: 0.8435, decode.d1.loss_cls: 0.3520, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.7946, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.5283, decode.d2.loss_dice: 0.7737, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7562, decode.d4.loss_cls: 0.2723, decode.d4.loss_mask: 0.5168, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2652, decode.d5.loss_mask: 0.5174, decode.d5.loss_dice: 0.7569, decode.d6.loss_cls: 0.2582, decode.d6.loss_mask: 0.5129, decode.d6.loss_dice: 0.7461, decode.d7.loss_cls: 0.2520, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7465, decode.d8.loss_cls: 0.2545, decode.d8.loss_mask: 0.5138, decode.d8.loss_dice: 0.7480, loss: 16.6631 2022-05-01 21:28:56,663 - mmseg - INFO - Iter [55250/80000] lr: 4.442e-07, eta: 13:19:02, time: 1.808, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2662, decode.loss_mask: 0.4915, decode.loss_dice: 0.7452, decode.d0.loss_cls: 1.2946, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3669, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7957, decode.d2.loss_cls: 0.3090, decode.d2.loss_mask: 0.5041, decode.d2.loss_dice: 0.7734, decode.d3.loss_cls: 0.2967, decode.d3.loss_mask: 0.5001, decode.d3.loss_dice: 0.7575, decode.d4.loss_cls: 0.2813, decode.d4.loss_mask: 0.4984, decode.d4.loss_dice: 0.7574, decode.d5.loss_cls: 0.2792, decode.d5.loss_mask: 0.4977, decode.d5.loss_dice: 0.7547, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.4961, decode.d6.loss_dice: 0.7461, decode.d7.loss_cls: 0.2704, decode.d7.loss_mask: 0.4949, decode.d7.loss_dice: 0.7487, decode.d8.loss_cls: 0.2669, decode.d8.loss_mask: 0.4943, decode.d8.loss_dice: 0.7500, loss: 16.6040 2022-05-01 21:30:28,279 - mmseg - INFO - Iter [55300/80000] lr: 4.433e-07, eta: 13:17:23, time: 1.835, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2603, decode.loss_mask: 0.4942, decode.loss_dice: 0.7296, decode.d0.loss_cls: 1.2735, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8197, decode.d1.loss_cls: 0.3476, decode.d1.loss_mask: 0.5138, decode.d1.loss_dice: 0.7826, decode.d2.loss_cls: 0.3059, decode.d2.loss_mask: 0.5033, decode.d2.loss_dice: 0.7563, decode.d3.loss_cls: 0.2912, decode.d3.loss_mask: 0.4974, decode.d3.loss_dice: 0.7411, decode.d4.loss_cls: 0.2795, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7443, decode.d5.loss_cls: 0.2718, decode.d5.loss_mask: 0.4942, decode.d5.loss_dice: 0.7340, decode.d6.loss_cls: 0.2700, decode.d6.loss_mask: 0.4942, decode.d6.loss_dice: 0.7344, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7320, decode.d8.loss_cls: 0.2632, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7313, loss: 16.3572 2022-05-01 21:31:59,403 - mmseg - INFO - Iter [55350/80000] lr: 4.424e-07, eta: 13:15:43, time: 1.821, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2694, decode.loss_mask: 0.5098, decode.loss_dice: 0.7400, decode.d0.loss_cls: 1.3029, decode.d0.loss_mask: 0.5600, decode.d0.loss_dice: 0.8492, decode.d1.loss_cls: 0.3510, decode.d1.loss_mask: 0.5396, decode.d1.loss_dice: 0.7962, decode.d2.loss_cls: 0.3124, decode.d2.loss_mask: 0.5225, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2961, decode.d3.loss_mask: 0.5177, decode.d3.loss_dice: 0.7518, decode.d4.loss_cls: 0.2885, decode.d4.loss_mask: 0.5151, decode.d4.loss_dice: 0.7475, decode.d5.loss_cls: 0.2760, decode.d5.loss_mask: 0.5177, decode.d5.loss_dice: 0.7509, decode.d6.loss_cls: 0.2732, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7421, decode.d7.loss_cls: 0.2695, decode.d7.loss_mask: 0.5105, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2665, decode.d8.loss_mask: 0.5118, decode.d8.loss_dice: 0.7426, loss: 16.7535 2022-05-01 21:33:30,806 - mmseg - INFO - Iter [55400/80000] lr: 4.415e-07, eta: 13:14:04, time: 1.829, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2603, decode.loss_mask: 0.5011, decode.loss_dice: 0.7488, decode.d0.loss_cls: 1.2678, decode.d0.loss_mask: 0.5462, decode.d0.loss_dice: 0.8430, decode.d1.loss_cls: 0.3471, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7932, decode.d2.loss_cls: 0.3056, decode.d2.loss_mask: 0.5124, decode.d2.loss_dice: 0.7658, decode.d3.loss_cls: 0.2854, decode.d3.loss_mask: 0.5083, decode.d3.loss_dice: 0.7562, decode.d4.loss_cls: 0.2775, decode.d4.loss_mask: 0.5039, decode.d4.loss_dice: 0.7516, decode.d5.loss_cls: 0.2691, decode.d5.loss_mask: 0.5034, decode.d5.loss_dice: 0.7506, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.5030, decode.d6.loss_dice: 0.7417, decode.d7.loss_cls: 0.2624, decode.d7.loss_mask: 0.5028, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2631, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7439, loss: 16.5402 2022-05-01 21:35:04,924 - mmseg - INFO - Iter [55450/80000] lr: 4.406e-07, eta: 13:12:26, time: 1.883, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2461, decode.loss_mask: 0.4959, decode.loss_dice: 0.7265, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.5432, decode.d0.loss_dice: 0.8163, decode.d1.loss_cls: 0.3294, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7717, decode.d2.loss_cls: 0.2974, decode.d2.loss_mask: 0.5049, decode.d2.loss_dice: 0.7459, decode.d3.loss_cls: 0.2818, decode.d3.loss_mask: 0.4973, decode.d3.loss_dice: 0.7305, decode.d4.loss_cls: 0.2697, decode.d4.loss_mask: 0.4984, decode.d4.loss_dice: 0.7333, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2547, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7265, decode.d7.loss_cls: 0.2557, decode.d7.loss_mask: 0.4943, decode.d7.loss_dice: 0.7227, decode.d8.loss_cls: 0.2500, decode.d8.loss_mask: 0.4967, decode.d8.loss_dice: 0.7260, loss: 16.1703 2022-05-01 21:36:38,565 - mmseg - INFO - Iter [55500/80000] lr: 4.397e-07, eta: 13:10:48, time: 1.872, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2465, decode.loss_mask: 0.4911, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.2792, decode.d0.loss_mask: 0.5320, decode.d0.loss_dice: 0.8159, decode.d1.loss_cls: 0.3425, decode.d1.loss_mask: 0.5103, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7386, decode.d3.loss_cls: 0.2832, decode.d3.loss_mask: 0.4952, decode.d3.loss_dice: 0.7251, decode.d4.loss_cls: 0.2704, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7249, decode.d5.loss_cls: 0.2656, decode.d5.loss_mask: 0.4908, decode.d5.loss_dice: 0.7189, decode.d6.loss_cls: 0.2608, decode.d6.loss_mask: 0.4914, decode.d6.loss_dice: 0.7158, decode.d7.loss_cls: 0.2574, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7138, decode.d8.loss_cls: 0.2499, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7153, loss: 16.0894 2022-05-01 21:38:13,174 - mmseg - INFO - Iter [55550/80000] lr: 4.388e-07, eta: 13:09:10, time: 1.892, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2675, decode.loss_mask: 0.4906, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.2921, decode.d0.loss_mask: 0.5363, decode.d0.loss_dice: 0.8251, decode.d1.loss_cls: 0.3522, decode.d1.loss_mask: 0.5200, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.3143, decode.d2.loss_mask: 0.5050, decode.d2.loss_dice: 0.7462, decode.d3.loss_cls: 0.2908, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7303, decode.d4.loss_cls: 0.2802, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2741, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7265, decode.d6.loss_cls: 0.2698, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2640, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2597, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7228, loss: 16.3023 2022-05-01 21:39:46,070 - mmseg - INFO - Iter [55600/80000] lr: 4.379e-07, eta: 13:07:31, time: 1.859, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2671, decode.loss_mask: 0.4925, decode.loss_dice: 0.7203, decode.d0.loss_cls: 1.3094, decode.d0.loss_mask: 0.5428, decode.d0.loss_dice: 0.8327, decode.d1.loss_cls: 0.3526, decode.d1.loss_mask: 0.5165, decode.d1.loss_dice: 0.7732, decode.d2.loss_cls: 0.3117, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7409, decode.d3.loss_cls: 0.2971, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7278, decode.d4.loss_cls: 0.2783, decode.d4.loss_mask: 0.4985, decode.d4.loss_dice: 0.7295, decode.d5.loss_cls: 0.2776, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7300, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2695, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7229, decode.d8.loss_cls: 0.2675, decode.d8.loss_mask: 0.4931, decode.d8.loss_dice: 0.7251, loss: 16.3527 2022-05-01 21:41:21,957 - mmseg - INFO - Iter [55650/80000] lr: 4.370e-07, eta: 13:05:54, time: 1.917, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2672, decode.loss_mask: 0.4917, decode.loss_dice: 0.7475, decode.d0.loss_cls: 1.3023, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8430, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7984, decode.d2.loss_cls: 0.3217, decode.d2.loss_mask: 0.5037, decode.d2.loss_dice: 0.7686, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.4973, decode.d3.loss_dice: 0.7580, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7528, decode.d5.loss_cls: 0.2875, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7520, decode.d6.loss_cls: 0.2806, decode.d6.loss_mask: 0.4926, decode.d6.loss_dice: 0.7456, decode.d7.loss_cls: 0.2746, decode.d7.loss_mask: 0.4916, decode.d7.loss_dice: 0.7476, decode.d8.loss_cls: 0.2691, decode.d8.loss_mask: 0.4912, decode.d8.loss_dice: 0.7496, loss: 16.6343 2022-05-01 21:42:55,209 - mmseg - INFO - Iter [55700/80000] lr: 4.361e-07, eta: 13:04:16, time: 1.865, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2490, decode.loss_mask: 0.4954, decode.loss_dice: 0.7308, decode.d0.loss_cls: 1.2732, decode.d0.loss_mask: 0.5478, decode.d0.loss_dice: 0.8371, decode.d1.loss_cls: 0.3332, decode.d1.loss_mask: 0.5175, decode.d1.loss_dice: 0.7792, decode.d2.loss_cls: 0.2948, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7555, decode.d3.loss_cls: 0.2740, decode.d3.loss_mask: 0.5026, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2614, decode.d4.loss_mask: 0.5011, decode.d4.loss_dice: 0.7414, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4999, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2529, decode.d6.loss_mask: 0.4968, decode.d6.loss_dice: 0.7293, decode.d7.loss_cls: 0.2513, decode.d7.loss_mask: 0.4957, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2522, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7274, loss: 16.2651 2022-05-01 21:44:27,774 - mmseg - INFO - Iter [55750/80000] lr: 4.352e-07, eta: 13:02:37, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2271, decode.loss_mask: 0.4982, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2477, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.5155, decode.d1.loss_dice: 0.7639, decode.d2.loss_cls: 0.2709, decode.d2.loss_mask: 0.5034, decode.d2.loss_dice: 0.7478, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.5033, decode.d3.loss_dice: 0.7370, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7349, decode.d5.loss_cls: 0.2324, decode.d5.loss_mask: 0.5005, decode.d5.loss_dice: 0.7349, decode.d6.loss_cls: 0.2328, decode.d6.loss_mask: 0.4998, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2268, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7309, decode.d8.loss_cls: 0.2244, decode.d8.loss_mask: 0.4975, decode.d8.loss_dice: 0.7289, loss: 15.9591 2022-05-01 21:45:59,520 - mmseg - INFO - Iter [55800/80000] lr: 4.343e-07, eta: 13:00:58, time: 1.836, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2313, decode.loss_mask: 0.5053, decode.loss_dice: 0.7478, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8345, decode.d1.loss_cls: 0.3258, decode.d1.loss_mask: 0.5256, decode.d1.loss_dice: 0.7924, decode.d2.loss_cls: 0.2822, decode.d2.loss_mask: 0.5154, decode.d2.loss_dice: 0.7690, decode.d3.loss_cls: 0.2670, decode.d3.loss_mask: 0.5081, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2562, decode.d4.loss_mask: 0.5067, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2466, decode.d5.loss_mask: 0.5071, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.2422, decode.d6.loss_mask: 0.5051, decode.d6.loss_dice: 0.7474, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.5066, decode.d7.loss_dice: 0.7487, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.5072, decode.d8.loss_dice: 0.7532, loss: 16.3781 2022-05-01 21:47:32,193 - mmseg - INFO - Iter [55850/80000] lr: 4.334e-07, eta: 12:59:19, time: 1.853, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2387, decode.loss_mask: 0.4881, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.2442, decode.d0.loss_mask: 0.5412, decode.d0.loss_dice: 0.8028, decode.d1.loss_cls: 0.3209, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7592, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.5008, decode.d2.loss_dice: 0.7304, decode.d3.loss_cls: 0.2585, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2564, decode.d4.loss_mask: 0.4882, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2450, decode.d5.loss_mask: 0.4917, decode.d5.loss_dice: 0.7161, decode.d6.loss_cls: 0.2387, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4879, decode.d7.loss_dice: 0.7083, decode.d8.loss_cls: 0.2361, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7090, loss: 15.8129 2022-05-01 21:49:04,460 - mmseg - INFO - Iter [55900/80000] lr: 4.326e-07, eta: 12:57:41, time: 1.845, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2548, decode.loss_mask: 0.4860, decode.loss_dice: 0.7314, decode.d0.loss_cls: 1.2419, decode.d0.loss_mask: 0.5229, decode.d0.loss_dice: 0.8317, decode.d1.loss_cls: 0.3446, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7865, decode.d2.loss_cls: 0.3004, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7608, decode.d3.loss_cls: 0.2832, decode.d3.loss_mask: 0.4897, decode.d3.loss_dice: 0.7428, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.4866, decode.d4.loss_dice: 0.7440, decode.d5.loss_cls: 0.2655, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7398, decode.d6.loss_cls: 0.2570, decode.d6.loss_mask: 0.4882, decode.d6.loss_dice: 0.7349, decode.d7.loss_cls: 0.2526, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7334, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7347, loss: 16.2089 2022-05-01 21:50:37,070 - mmseg - INFO - Iter [55950/80000] lr: 4.317e-07, eta: 12:56:02, time: 1.853, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2605, decode.loss_mask: 0.4818, decode.loss_dice: 0.7422, decode.d0.loss_cls: 1.3330, decode.d0.loss_mask: 0.5202, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3670, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7872, decode.d2.loss_cls: 0.3126, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2943, decode.d3.loss_mask: 0.4841, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.2820, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7461, decode.d5.loss_cls: 0.2724, decode.d5.loss_mask: 0.4843, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2696, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2649, decode.d7.loss_mask: 0.4827, decode.d7.loss_dice: 0.7404, decode.d8.loss_cls: 0.2625, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7414, loss: 16.3969 2022-05-01 21:52:10,401 - mmseg - INFO - Saving checkpoint at 56000 iterations 2022-05-01 21:52:27,993 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 21:52:28,043 - mmseg - INFO - Iter [56000/80000] lr: 4.308e-07, eta: 12:54:31, time: 2.216, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2520, decode.loss_mask: 0.4901, decode.loss_dice: 0.7244, decode.d0.loss_cls: 1.3154, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3367, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7738, decode.d2.loss_cls: 0.2947, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7449, decode.d3.loss_cls: 0.2766, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7300, decode.d4.loss_cls: 0.2701, decode.d4.loss_mask: 0.4933, decode.d4.loss_dice: 0.7257, decode.d5.loss_cls: 0.2627, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2602, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2549, decode.d7.loss_mask: 0.4905, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2493, decode.d8.loss_mask: 0.4903, decode.d8.loss_dice: 0.7261, loss: 16.1988 2022-05-01 21:54:31,509 - mmseg - INFO - per class results: 2022-05-01 21:54:31,524 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.1 | 87.83 | | building | 84.91 | 91.09 | | sky | 95.35 | 97.37 | | floor | 85.64 | 91.09 | | tree | 77.65 | 90.02 | | ceiling | 87.57 | 93.78 | | road | 87.15 | 92.49 | | bed | 92.63 | 97.53 | | windowpane | 64.86 | 82.45 | | grass | 71.73 | 86.57 | | cabinet | 61.45 | 73.54 | | sidewalk | 73.02 | 83.3 | | person | 87.75 | 94.41 | | earth | 43.45 | 57.36 | | door | 57.7 | 73.24 | | table | 71.49 | 82.42 | | mountain | 61.81 | 78.69 | | plant | 58.19 | 70.01 | | curtain | 80.22 | 90.25 | | chair | 68.49 | 79.43 | | car | 88.34 | 94.43 | | water | 64.95 | 81.22 | | painting | 75.71 | 92.31 | | sofa | 80.91 | 87.73 | | shelf | 54.33 | 73.17 | | house | 54.29 | 80.97 | | sea | 77.8 | 91.16 | | mirror | 79.26 | 88.85 | | rug | 68.57 | 81.51 | | field | 32.28 | 49.13 | | armchair | 56.19 | 77.15 | | seat | 69.96 | 89.08 | | fence | 51.95 | 75.32 | | desk | 60.35 | 76.91 | | rock | 60.36 | 77.44 | | wardrobe | 60.05 | 79.69 | | lamp | 77.91 | 89.52 | | bathtub | 91.02 | 93.91 | | railing | 41.58 | 61.41 | | cushion | 72.02 | 87.43 | | base | 43.87 | 68.33 | | box | 42.67 | 59.22 | | column | 53.33 | 69.04 | | signboard | 40.37 | 62.0 | | chest of drawers | 33.65 | 70.83 | | counter | 53.33 | 67.93 | | sand | 61.53 | 89.12 | | sink | 84.68 | 89.91 | | skyscraper | 45.96 | 57.0 | | fireplace | 84.64 | 96.42 | | refrigerator | 81.94 | 86.92 | | grandstand | 66.88 | 85.25 | | path | 25.7 | 40.63 | | stairs | 36.28 | 43.44 | | runway | 75.17 | 97.53 | | case | 66.13 | 78.13 | | pool table | 95.57 | 98.1 | | pillow | 68.16 | 77.92 | | screen door | 68.19 | 78.74 | | stairway | 39.18 | 76.91 | | river | 15.96 | 23.08 | | bridge | 73.74 | 91.01 | | bookcase | 48.98 | 64.45 | | blind | 38.6 | 44.97 | | coffee table | 68.66 | 87.59 | | toilet | 90.14 | 93.1 | | flower | 50.21 | 67.41 | | book | 59.33 | 80.09 | | hill | 8.89 | 14.6 | | bench | 57.45 | 68.08 | | countertop | 62.84 | 84.79 | | stove | 84.34 | 90.22 | | palm | 54.33 | 77.98 | | kitchen island | 56.77 | 82.95 | | computer | 83.45 | 91.45 | | swivel chair | 55.08 | 78.53 | | boat | 71.01 | 93.18 | | bar | 61.87 | 74.19 | | arcade machine | 51.67 | 56.14 | | hovel | 32.65 | 48.91 | | bus | 92.67 | 96.2 | | towel | 77.0 | 89.54 | | light | 67.12 | 81.64 | | truck | 45.81 | 67.02 | | tower | 24.83 | 44.63 | | chandelier | 73.97 | 84.78 | | awning | 49.84 | 74.18 | | streetlight | 48.87 | 70.13 | | booth | 47.35 | 83.54 | | television receiver | 80.76 | 93.85 | | airplane | 72.98 | 77.63 | | dirt track | 14.39 | 52.68 | | apparel | 52.67 | 74.96 | | pole | 36.48 | 54.96 | | land | 0.0 | 0.01 | | bannister | 24.54 | 32.84 | | escalator | 56.33 | 79.68 | | ottoman | 48.34 | 72.98 | | bottle | 31.27 | 39.4 | | buffet | 50.18 | 64.05 | | poster | 36.19 | 55.07 | | stage | 21.02 | 53.82 | | van | 42.45 | 64.18 | | ship | 81.56 | 85.06 | | fountain | 34.64 | 35.72 | | conveyer belt | 57.74 | 97.76 | | canopy | 41.89 | 62.73 | | washer | 89.94 | 95.23 | | plaything | 46.33 | 78.34 | | swimming pool | 69.48 | 80.63 | | stool | 56.06 | 78.8 | | barrel | 77.38 | 98.08 | | basket | 42.82 | 63.56 | | waterfall | 46.75 | 61.67 | | tent | 92.79 | 97.76 | | bag | 32.73 | 42.03 | | minibike | 78.02 | 92.83 | | cradle | 86.58 | 97.86 | | oven | 66.87 | 80.36 | | ball | 64.72 | 72.7 | | food | 72.03 | 84.89 | | step | 22.99 | 30.74 | | tank | 54.83 | 69.04 | | trade name | 24.9 | 32.83 | | microwave | 92.6 | 97.32 | | pot | 58.32 | 71.1 | | animal | 75.69 | 77.85 | | bicycle | 64.28 | 81.26 | | lake | 46.43 | 61.17 | | dishwasher | 73.78 | 84.78 | | screen | 59.66 | 92.72 | | blanket | 26.79 | 39.39 | | sculpture | 65.52 | 91.16 | | hood | 63.28 | 77.58 | | sconce | 64.05 | 77.01 | | vase | 53.45 | 78.21 | | traffic light | 51.69 | 71.76 | | tray | 31.63 | 45.31 | | ashcan | 50.38 | 71.66 | | fan | 70.04 | 85.54 | | pier | 76.15 | 86.06 | | crt screen | 2.25 | 5.96 | | plate | 65.07 | 85.55 | | monitor | 11.11 | 13.79 | | bulletin board | 44.6 | 65.54 | | shower | 3.84 | 28.6 | | radiator | 70.48 | 90.87 | | glass | 26.26 | 30.4 | | clock | 55.49 | 69.85 | | flag | 74.2 | 86.76 | +---------------------+-------+-------+ 2022-05-01 21:54:31,524 - mmseg - INFO - Summary: 2022-05-01 21:54:31,525 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.34 | 58.78 | 73.61 | +-------+-------+-------+ 2022-05-01 21:54:31,531 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 21:54:31,532 - mmseg - INFO - Iter(val) [125] aAcc: 0.8634, mIoU: 0.5878, mAcc: 0.7361, IoU.wall: 0.8210, IoU.building: 0.8491, IoU.sky: 0.9535, IoU.floor: 0.8564, IoU.tree: 0.7765, IoU.ceiling: 0.8757, IoU.road: 0.8715, IoU.bed : 0.9263, IoU.windowpane: 0.6486, IoU.grass: 0.7173, IoU.cabinet: 0.6145, IoU.sidewalk: 0.7302, IoU.person: 0.8775, IoU.earth: 0.4345, IoU.door: 0.5770, IoU.table: 0.7149, IoU.mountain: 0.6181, IoU.plant: 0.5819, IoU.curtain: 0.8022, IoU.chair: 0.6849, IoU.car: 0.8834, IoU.water: 0.6495, IoU.painting: 0.7571, IoU.sofa: 0.8091, IoU.shelf: 0.5433, IoU.house: 0.5429, IoU.sea: 0.7780, IoU.mirror: 0.7926, IoU.rug: 0.6857, IoU.field: 0.3228, IoU.armchair: 0.5619, IoU.seat: 0.6996, IoU.fence: 0.5195, IoU.desk: 0.6035, IoU.rock: 0.6036, IoU.wardrobe: 0.6005, IoU.lamp: 0.7791, IoU.bathtub: 0.9102, IoU.railing: 0.4158, IoU.cushion: 0.7202, IoU.base: 0.4387, IoU.box: 0.4267, IoU.column: 0.5333, IoU.signboard: 0.4037, IoU.chest of drawers: 0.3365, IoU.counter: 0.5333, IoU.sand: 0.6153, IoU.sink: 0.8468, IoU.skyscraper: 0.4596, IoU.fireplace: 0.8464, IoU.refrigerator: 0.8194, IoU.grandstand: 0.6688, IoU.path: 0.2570, IoU.stairs: 0.3628, IoU.runway: 0.7517, IoU.case: 0.6613, IoU.pool table: 0.9557, IoU.pillow: 0.6816, IoU.screen door: 0.6819, IoU.stairway: 0.3918, IoU.river: 0.1596, IoU.bridge: 0.7374, IoU.bookcase: 0.4898, IoU.blind: 0.3860, IoU.coffee table: 0.6866, IoU.toilet: 0.9014, IoU.flower: 0.5021, IoU.book: 0.5933, IoU.hill: 0.0889, IoU.bench: 0.5745, IoU.countertop: 0.6284, IoU.stove: 0.8434, IoU.palm: 0.5433, IoU.kitchen island: 0.5677, IoU.computer: 0.8345, IoU.swivel chair: 0.5508, IoU.boat: 0.7101, IoU.bar: 0.6187, IoU.arcade machine: 0.5167, IoU.hovel: 0.3265, IoU.bus: 0.9267, IoU.towel: 0.7700, IoU.light: 0.6712, IoU.truck: 0.4581, IoU.tower: 0.2483, IoU.chandelier: 0.7397, IoU.awning: 0.4984, IoU.streetlight: 0.4887, IoU.booth: 0.4735, IoU.television receiver: 0.8076, IoU.airplane: 0.7298, IoU.dirt track: 0.1439, IoU.apparel: 0.5267, IoU.pole: 0.3648, IoU.land: 0.0000, IoU.bannister: 0.2454, IoU.escalator: 0.5633, IoU.ottoman: 0.4834, IoU.bottle: 0.3127, IoU.buffet: 0.5018, IoU.poster: 0.3619, IoU.stage: 0.2102, IoU.van: 0.4245, IoU.ship: 0.8156, IoU.fountain: 0.3464, IoU.conveyer belt: 0.5774, IoU.canopy: 0.4189, IoU.washer: 0.8994, IoU.plaything: 0.4633, IoU.swimming pool: 0.6948, IoU.stool: 0.5606, IoU.barrel: 0.7738, IoU.basket: 0.4282, IoU.waterfall: 0.4675, IoU.tent: 0.9279, IoU.bag: 0.3273, IoU.minibike: 0.7802, IoU.cradle: 0.8658, IoU.oven: 0.6687, IoU.ball: 0.6472, IoU.food: 0.7203, IoU.step: 0.2299, IoU.tank: 0.5483, IoU.trade name: 0.2490, IoU.microwave: 0.9260, IoU.pot: 0.5832, IoU.animal: 0.7569, IoU.bicycle: 0.6428, IoU.lake: 0.4643, IoU.dishwasher: 0.7378, IoU.screen: 0.5966, IoU.blanket: 0.2679, IoU.sculpture: 0.6552, IoU.hood: 0.6328, IoU.sconce: 0.6405, IoU.vase: 0.5345, IoU.traffic light: 0.5169, IoU.tray: 0.3163, IoU.ashcan: 0.5038, IoU.fan: 0.7004, IoU.pier: 0.7615, IoU.crt screen: 0.0225, IoU.plate: 0.6507, IoU.monitor: 0.1111, IoU.bulletin board: 0.4460, IoU.shower: 0.0384, IoU.radiator: 0.7048, IoU.glass: 0.2626, IoU.clock: 0.5549, IoU.flag: 0.7420, Acc.wall: 0.8783, Acc.building: 0.9109, Acc.sky: 0.9737, Acc.floor: 0.9109, Acc.tree: 0.9002, Acc.ceiling: 0.9378, Acc.road: 0.9249, Acc.bed : 0.9753, Acc.windowpane: 0.8245, Acc.grass: 0.8657, Acc.cabinet: 0.7354, Acc.sidewalk: 0.8330, Acc.person: 0.9441, Acc.earth: 0.5736, Acc.door: 0.7324, Acc.table: 0.8242, Acc.mountain: 0.7869, Acc.plant: 0.7001, Acc.curtain: 0.9025, Acc.chair: 0.7943, Acc.car: 0.9443, Acc.water: 0.8122, Acc.painting: 0.9231, Acc.sofa: 0.8773, Acc.shelf: 0.7317, Acc.house: 0.8097, Acc.sea: 0.9116, Acc.mirror: 0.8885, Acc.rug: 0.8151, Acc.field: 0.4913, Acc.armchair: 0.7715, Acc.seat: 0.8908, Acc.fence: 0.7532, Acc.desk: 0.7691, Acc.rock: 0.7744, Acc.wardrobe: 0.7969, Acc.lamp: 0.8952, Acc.bathtub: 0.9391, Acc.railing: 0.6141, Acc.cushion: 0.8743, Acc.base: 0.6833, Acc.box: 0.5922, Acc.column: 0.6904, Acc.signboard: 0.6200, Acc.chest of drawers: 0.7083, Acc.counter: 0.6793, Acc.sand: 0.8912, Acc.sink: 0.8991, Acc.skyscraper: 0.5700, Acc.fireplace: 0.9642, Acc.refrigerator: 0.8692, Acc.grandstand: 0.8525, Acc.path: 0.4063, Acc.stairs: 0.4344, Acc.runway: 0.9753, Acc.case: 0.7813, Acc.pool table: 0.9810, Acc.pillow: 0.7792, Acc.screen door: 0.7874, Acc.stairway: 0.7691, Acc.river: 0.2308, Acc.bridge: 0.9101, Acc.bookcase: 0.6445, Acc.blind: 0.4497, Acc.coffee table: 0.8759, Acc.toilet: 0.9310, Acc.flower: 0.6741, Acc.book: 0.8009, Acc.hill: 0.1460, Acc.bench: 0.6808, Acc.countertop: 0.8479, Acc.stove: 0.9022, Acc.palm: 0.7798, Acc.kitchen island: 0.8295, Acc.computer: 0.9145, Acc.swivel chair: 0.7853, Acc.boat: 0.9318, Acc.bar: 0.7419, Acc.arcade machine: 0.5614, Acc.hovel: 0.4891, Acc.bus: 0.9620, Acc.towel: 0.8954, Acc.light: 0.8164, Acc.truck: 0.6702, Acc.tower: 0.4463, Acc.chandelier: 0.8478, Acc.awning: 0.7418, Acc.streetlight: 0.7013, Acc.booth: 0.8354, Acc.television receiver: 0.9385, Acc.airplane: 0.7763, Acc.dirt track: 0.5268, Acc.apparel: 0.7496, Acc.pole: 0.5496, Acc.land: 0.0001, Acc.bannister: 0.3284, Acc.escalator: 0.7968, Acc.ottoman: 0.7298, Acc.bottle: 0.3940, Acc.buffet: 0.6405, Acc.poster: 0.5507, Acc.stage: 0.5382, Acc.van: 0.6418, Acc.ship: 0.8506, Acc.fountain: 0.3572, Acc.conveyer belt: 0.9776, Acc.canopy: 0.6273, Acc.washer: 0.9523, Acc.plaything: 0.7834, Acc.swimming pool: 0.8063, Acc.stool: 0.7880, Acc.barrel: 0.9808, Acc.basket: 0.6356, Acc.waterfall: 0.6167, Acc.tent: 0.9776, Acc.bag: 0.4203, Acc.minibike: 0.9283, Acc.cradle: 0.9786, Acc.oven: 0.8036, Acc.ball: 0.7270, Acc.food: 0.8489, Acc.step: 0.3074, Acc.tank: 0.6904, Acc.trade name: 0.3283, Acc.microwave: 0.9732, Acc.pot: 0.7110, Acc.animal: 0.7785, Acc.bicycle: 0.8126, Acc.lake: 0.6117, Acc.dishwasher: 0.8478, Acc.screen: 0.9272, Acc.blanket: 0.3939, Acc.sculpture: 0.9116, Acc.hood: 0.7758, Acc.sconce: 0.7701, Acc.vase: 0.7821, Acc.traffic light: 0.7176, Acc.tray: 0.4531, Acc.ashcan: 0.7166, Acc.fan: 0.8554, Acc.pier: 0.8606, Acc.crt screen: 0.0596, Acc.plate: 0.8555, Acc.monitor: 0.1379, Acc.bulletin board: 0.6554, Acc.shower: 0.2860, Acc.radiator: 0.9087, Acc.glass: 0.3040, Acc.clock: 0.6985, Acc.flag: 0.8676 2022-05-01 21:56:06,013 - mmseg - INFO - Iter [56050/80000] lr: 4.299e-07, eta: 12:53:46, time: 4.362, data_time: 2.488, memory: 64716, decode.loss_cls: 0.2692, decode.loss_mask: 0.4954, decode.loss_dice: 0.7467, decode.d0.loss_cls: 1.2966, decode.d0.loss_mask: 0.5400, decode.d0.loss_dice: 0.8505, decode.d1.loss_cls: 0.3630, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3259, decode.d2.loss_mask: 0.5064, decode.d2.loss_dice: 0.7682, decode.d3.loss_cls: 0.2987, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7580, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.4976, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.2831, decode.d5.loss_mask: 0.4990, decode.d5.loss_dice: 0.7472, decode.d6.loss_cls: 0.2763, decode.d6.loss_mask: 0.4953, decode.d6.loss_dice: 0.7409, decode.d7.loss_cls: 0.2717, decode.d7.loss_mask: 0.4951, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2721, decode.d8.loss_mask: 0.4953, decode.d8.loss_dice: 0.7431, loss: 16.6432 2022-05-01 21:57:41,712 - mmseg - INFO - Iter [56100/80000] lr: 4.290e-07, eta: 12:52:09, time: 1.914, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2615, decode.loss_mask: 0.4807, decode.loss_dice: 0.7321, decode.d0.loss_cls: 1.2935, decode.d0.loss_mask: 0.5234, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5065, decode.d1.loss_dice: 0.7858, decode.d2.loss_cls: 0.3054, decode.d2.loss_mask: 0.4933, decode.d2.loss_dice: 0.7551, decode.d3.loss_cls: 0.2839, decode.d3.loss_mask: 0.4892, decode.d3.loss_dice: 0.7443, decode.d4.loss_cls: 0.2783, decode.d4.loss_mask: 0.4866, decode.d4.loss_dice: 0.7413, decode.d5.loss_cls: 0.2698, decode.d5.loss_mask: 0.4856, decode.d5.loss_dice: 0.7384, decode.d6.loss_cls: 0.2650, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2626, decode.d7.loss_mask: 0.4811, decode.d7.loss_dice: 0.7331, decode.d8.loss_cls: 0.2580, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7347, loss: 16.2659 2022-05-01 21:59:15,254 - mmseg - INFO - Iter [56150/80000] lr: 4.281e-07, eta: 12:50:31, time: 1.871, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2629, decode.loss_mask: 0.4899, decode.loss_dice: 0.7370, decode.d0.loss_cls: 1.2684, decode.d0.loss_mask: 0.5378, decode.d0.loss_dice: 0.8363, decode.d1.loss_cls: 0.3472, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7907, decode.d2.loss_cls: 0.3050, decode.d2.loss_mask: 0.5052, decode.d2.loss_dice: 0.7619, decode.d3.loss_cls: 0.2858, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7537, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7472, decode.d5.loss_cls: 0.2721, decode.d5.loss_mask: 0.4949, decode.d5.loss_dice: 0.7453, decode.d6.loss_cls: 0.2757, decode.d6.loss_mask: 0.4905, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2675, decode.d7.loss_mask: 0.4899, decode.d7.loss_dice: 0.7302, decode.d8.loss_cls: 0.2628, decode.d8.loss_mask: 0.4909, decode.d8.loss_dice: 0.7333, loss: 16.4057 2022-05-01 22:00:49,756 - mmseg - INFO - Iter [56200/80000] lr: 4.272e-07, eta: 12:48:53, time: 1.891, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2572, decode.loss_mask: 0.4804, decode.loss_dice: 0.7193, decode.d0.loss_cls: 1.2897, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.8107, decode.d1.loss_cls: 0.3369, decode.d1.loss_mask: 0.5028, decode.d1.loss_dice: 0.7675, decode.d2.loss_cls: 0.3019, decode.d2.loss_mask: 0.4901, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2773, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2701, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7277, decode.d5.loss_cls: 0.2653, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7293, decode.d6.loss_cls: 0.2611, decode.d6.loss_mask: 0.4825, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2641, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2593, decode.d8.loss_mask: 0.4825, decode.d8.loss_dice: 0.7232, loss: 16.0658 2022-05-01 22:02:23,867 - mmseg - INFO - Iter [56250/80000] lr: 4.263e-07, eta: 12:47:14, time: 1.882, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2581, decode.loss_mask: 0.5067, decode.loss_dice: 0.7401, decode.d0.loss_cls: 1.3037, decode.d0.loss_mask: 0.5520, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3500, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7980, decode.d2.loss_cls: 0.3091, decode.d2.loss_mask: 0.5130, decode.d2.loss_dice: 0.7695, decode.d3.loss_cls: 0.2850, decode.d3.loss_mask: 0.5117, decode.d3.loss_dice: 0.7546, decode.d4.loss_cls: 0.2750, decode.d4.loss_mask: 0.5132, decode.d4.loss_dice: 0.7514, decode.d5.loss_cls: 0.2712, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7486, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.5071, decode.d6.loss_dice: 0.7403, decode.d7.loss_cls: 0.2596, decode.d7.loss_mask: 0.5075, decode.d7.loss_dice: 0.7429, decode.d8.loss_cls: 0.2615, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7426, loss: 16.6203 2022-05-01 22:03:59,343 - mmseg - INFO - Iter [56300/80000] lr: 4.254e-07, eta: 12:45:37, time: 1.909, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2599, decode.loss_mask: 0.4866, decode.loss_dice: 0.7413, decode.d0.loss_cls: 1.2862, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8417, decode.d1.loss_cls: 0.3620, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.2986, decode.d2.loss_mask: 0.4960, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2817, decode.d3.loss_mask: 0.4929, decode.d3.loss_dice: 0.7533, decode.d4.loss_cls: 0.2738, decode.d4.loss_mask: 0.4919, decode.d4.loss_dice: 0.7510, decode.d5.loss_cls: 0.2698, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.2664, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.7412, decode.d7.loss_cls: 0.2629, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7431, decode.d8.loss_cls: 0.2637, decode.d8.loss_mask: 0.4850, decode.d8.loss_dice: 0.7412, loss: 16.3903 2022-05-01 22:05:35,369 - mmseg - INFO - Iter [56350/80000] lr: 4.245e-07, eta: 12:44:00, time: 1.921, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2292, decode.loss_mask: 0.4727, decode.loss_dice: 0.6980, decode.d0.loss_cls: 1.2832, decode.d0.loss_mask: 0.5187, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7479, decode.d2.loss_cls: 0.2749, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2515, decode.d4.loss_mask: 0.4777, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2455, decode.d5.loss_mask: 0.4741, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2385, decode.d6.loss_mask: 0.4726, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2314, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.6959, decode.d8.loss_cls: 0.2324, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.6976, loss: 15.5569 2022-05-01 22:07:09,212 - mmseg - INFO - Iter [56400/80000] lr: 4.236e-07, eta: 12:42:21, time: 1.876, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2676, decode.loss_mask: 0.4910, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.2814, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3519, decode.d1.loss_mask: 0.5163, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.3115, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7352, decode.d3.loss_cls: 0.2974, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.2830, decode.d4.loss_mask: 0.4942, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2799, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2716, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7145, decode.d7.loss_cls: 0.2685, decode.d7.loss_mask: 0.4912, decode.d7.loss_dice: 0.7112, decode.d8.loss_cls: 0.2691, decode.d8.loss_mask: 0.4917, decode.d8.loss_dice: 0.7118, loss: 16.1980 2022-05-01 22:08:42,528 - mmseg - INFO - Iter [56450/80000] lr: 4.227e-07, eta: 12:40:43, time: 1.866, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2598, decode.loss_mask: 0.5115, decode.loss_dice: 0.7633, decode.d0.loss_cls: 1.2659, decode.d0.loss_mask: 0.5594, decode.d0.loss_dice: 0.8764, decode.d1.loss_cls: 0.3464, decode.d1.loss_mask: 0.5385, decode.d1.loss_dice: 0.8229, decode.d2.loss_cls: 0.3024, decode.d2.loss_mask: 0.5260, decode.d2.loss_dice: 0.7892, decode.d3.loss_cls: 0.2849, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7715, decode.d4.loss_cls: 0.2743, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.7770, decode.d5.loss_cls: 0.2717, decode.d5.loss_mask: 0.5169, decode.d5.loss_dice: 0.7730, decode.d6.loss_cls: 0.2670, decode.d6.loss_mask: 0.5138, decode.d6.loss_dice: 0.7687, decode.d7.loss_cls: 0.2682, decode.d7.loss_mask: 0.5131, decode.d7.loss_dice: 0.7638, decode.d8.loss_cls: 0.2611, decode.d8.loss_mask: 0.5129, decode.d8.loss_dice: 0.7715, loss: 16.9082 2022-05-01 22:10:16,039 - mmseg - INFO - Iter [56500/80000] lr: 4.218e-07, eta: 12:39:05, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2533, decode.loss_mask: 0.4908, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.2925, decode.d0.loss_mask: 0.5394, decode.d0.loss_dice: 0.8290, decode.d1.loss_cls: 0.3369, decode.d1.loss_mask: 0.5176, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.2999, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7559, decode.d3.loss_cls: 0.2751, decode.d3.loss_mask: 0.5000, decode.d3.loss_dice: 0.7405, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7380, decode.d5.loss_cls: 0.2623, decode.d5.loss_mask: 0.4927, decode.d5.loss_dice: 0.7329, decode.d6.loss_cls: 0.2545, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7294, decode.d7.loss_cls: 0.2514, decode.d7.loss_mask: 0.4913, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.4908, decode.d8.loss_dice: 0.7311, loss: 16.2538 2022-05-01 22:11:49,946 - mmseg - INFO - Iter [56550/80000] lr: 4.209e-07, eta: 12:37:27, time: 1.877, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2554, decode.loss_mask: 0.4826, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2629, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8207, decode.d1.loss_cls: 0.3417, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7740, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.4966, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.4870, decode.d3.loss_dice: 0.7329, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7349, decode.d5.loss_cls: 0.2667, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7286, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4831, decode.d6.loss_dice: 0.7258, decode.d7.loss_cls: 0.2527, decode.d7.loss_mask: 0.4832, decode.d7.loss_dice: 0.7251, decode.d8.loss_cls: 0.2517, decode.d8.loss_mask: 0.4830, decode.d8.loss_dice: 0.7241, loss: 16.0801 2022-05-01 22:13:24,670 - mmseg - INFO - Iter [56600/80000] lr: 4.200e-07, eta: 12:35:49, time: 1.895, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2593, decode.loss_mask: 0.5014, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.3035, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3526, decode.d1.loss_mask: 0.5227, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.3079, decode.d2.loss_mask: 0.5103, decode.d2.loss_dice: 0.7596, decode.d3.loss_cls: 0.2916, decode.d3.loss_mask: 0.5062, decode.d3.loss_dice: 0.7491, decode.d4.loss_cls: 0.2817, decode.d4.loss_mask: 0.5043, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5009, decode.d5.loss_dice: 0.7489, decode.d6.loss_cls: 0.2708, decode.d6.loss_mask: 0.4992, decode.d6.loss_dice: 0.7395, decode.d7.loss_cls: 0.2619, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7440, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.5016, decode.d8.loss_dice: 0.7417, loss: 16.5584 2022-05-01 22:14:56,641 - mmseg - INFO - Iter [56650/80000] lr: 4.191e-07, eta: 12:34:10, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2480, decode.loss_mask: 0.4814, decode.loss_dice: 0.7351, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.5303, decode.d0.loss_dice: 0.8254, decode.d1.loss_cls: 0.3378, decode.d1.loss_mask: 0.5069, decode.d1.loss_dice: 0.7803, decode.d2.loss_cls: 0.2932, decode.d2.loss_mask: 0.4928, decode.d2.loss_dice: 0.7598, decode.d3.loss_cls: 0.2718, decode.d3.loss_mask: 0.4878, decode.d3.loss_dice: 0.7426, decode.d4.loss_cls: 0.2616, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2583, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2492, decode.d6.loss_mask: 0.4860, decode.d6.loss_dice: 0.7337, decode.d7.loss_cls: 0.2499, decode.d7.loss_mask: 0.4837, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2470, decode.d8.loss_mask: 0.4850, decode.d8.loss_dice: 0.7351, loss: 16.1556 2022-05-01 22:16:30,903 - mmseg - INFO - Iter [56700/80000] lr: 4.182e-07, eta: 12:32:32, time: 1.885, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2548, decode.loss_mask: 0.5054, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.2888, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8311, decode.d1.loss_cls: 0.3462, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.3007, decode.d2.loss_mask: 0.5104, decode.d2.loss_dice: 0.7541, decode.d3.loss_cls: 0.2824, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7467, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.5079, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2676, decode.d5.loss_mask: 0.5061, decode.d5.loss_dice: 0.7433, decode.d6.loss_cls: 0.2588, decode.d6.loss_mask: 0.5044, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2498, decode.d7.loss_mask: 0.5081, decode.d7.loss_dice: 0.7417, decode.d8.loss_cls: 0.2564, decode.d8.loss_mask: 0.5068, decode.d8.loss_dice: 0.7430, loss: 16.4789 2022-05-01 22:18:03,992 - mmseg - INFO - Iter [56750/80000] lr: 4.173e-07, eta: 12:30:53, time: 1.861, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2681, decode.loss_mask: 0.5081, decode.loss_dice: 0.7401, decode.d0.loss_cls: 1.2775, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3478, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.7940, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7621, decode.d3.loss_cls: 0.2903, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.2790, decode.d4.loss_mask: 0.5120, decode.d4.loss_dice: 0.7478, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.5105, decode.d5.loss_dice: 0.7465, decode.d6.loss_cls: 0.2722, decode.d6.loss_mask: 0.5087, decode.d6.loss_dice: 0.7387, decode.d7.loss_cls: 0.2694, decode.d7.loss_mask: 0.5082, decode.d7.loss_dice: 0.7422, decode.d8.loss_cls: 0.2634, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7410, loss: 16.6315 2022-05-01 22:19:36,324 - mmseg - INFO - Iter [56800/80000] lr: 4.164e-07, eta: 12:29:15, time: 1.847, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2555, decode.loss_mask: 0.4900, decode.loss_dice: 0.7561, decode.d0.loss_cls: 1.3288, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8490, decode.d1.loss_cls: 0.3484, decode.d1.loss_mask: 0.5084, decode.d1.loss_dice: 0.8049, decode.d2.loss_cls: 0.3032, decode.d2.loss_mask: 0.4985, decode.d2.loss_dice: 0.7790, decode.d3.loss_cls: 0.2833, decode.d3.loss_mask: 0.4947, decode.d3.loss_dice: 0.7670, decode.d4.loss_cls: 0.2708, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7620, decode.d5.loss_cls: 0.2665, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7613, decode.d6.loss_cls: 0.2643, decode.d6.loss_mask: 0.4885, decode.d6.loss_dice: 0.7536, decode.d7.loss_cls: 0.2545, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7558, decode.d8.loss_cls: 0.2612, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7580, loss: 16.5565 2022-05-01 22:21:10,153 - mmseg - INFO - Iter [56850/80000] lr: 4.155e-07, eta: 12:27:37, time: 1.876, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2388, decode.loss_mask: 0.4773, decode.loss_dice: 0.7110, decode.d0.loss_cls: 1.2737, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3291, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2845, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2672, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2603, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7177, decode.d5.loss_cls: 0.2553, decode.d5.loss_mask: 0.4771, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2478, decode.d6.loss_mask: 0.4760, decode.d6.loss_dice: 0.7175, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4771, decode.d7.loss_dice: 0.7169, decode.d8.loss_cls: 0.2408, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7143, loss: 15.8077 2022-05-01 22:22:45,553 - mmseg - INFO - Iter [56900/80000] lr: 4.146e-07, eta: 12:25:59, time: 1.908, data_time: 0.066, memory: 64716, decode.loss_cls: 0.2468, decode.loss_mask: 0.4961, decode.loss_dice: 0.7236, decode.d0.loss_cls: 1.2525, decode.d0.loss_mask: 0.5413, decode.d0.loss_dice: 0.8266, decode.d1.loss_cls: 0.3316, decode.d1.loss_mask: 0.5182, decode.d1.loss_dice: 0.7722, decode.d2.loss_cls: 0.2843, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7428, decode.d3.loss_cls: 0.2693, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2597, decode.d4.loss_mask: 0.5030, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2570, decode.d5.loss_mask: 0.4981, decode.d5.loss_dice: 0.7250, decode.d6.loss_cls: 0.2454, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2497, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2484, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7249, loss: 16.1354 2022-05-01 22:24:18,215 - mmseg - INFO - Iter [56950/80000] lr: 4.137e-07, eta: 12:24:20, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2491, decode.loss_mask: 0.4822, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.8114, decode.d1.loss_cls: 0.3456, decode.d1.loss_mask: 0.5048, decode.d1.loss_dice: 0.7692, decode.d2.loss_cls: 0.3010, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7350, decode.d3.loss_cls: 0.2825, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7218, decode.d4.loss_cls: 0.2728, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2654, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.7211, decode.d6.loss_cls: 0.2558, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7149, decode.d7.loss_cls: 0.2516, decode.d7.loss_mask: 0.4806, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2492, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7157, loss: 15.9793 2022-05-01 22:25:52,065 - mmseg - INFO - Saving checkpoint at 57000 iterations 2022-05-01 22:26:27,494 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 22:26:27,506 - mmseg - INFO - Iter [57000/80000] lr: 4.128e-07, eta: 12:22:57, time: 2.584, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2336, decode.loss_mask: 0.4716, decode.loss_dice: 0.7071, decode.d0.loss_cls: 1.2652, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.8104, decode.d1.loss_cls: 0.3302, decode.d1.loss_mask: 0.4974, decode.d1.loss_dice: 0.7609, decode.d2.loss_cls: 0.2850, decode.d2.loss_mask: 0.4794, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2622, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.7220, decode.d4.loss_cls: 0.2459, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7165, decode.d5.loss_cls: 0.2470, decode.d5.loss_mask: 0.4731, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2340, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.7112, decode.d7.loss_cls: 0.2374, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7102, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4728, decode.d8.loss_dice: 0.7130, loss: 15.6727 2022-05-01 22:28:01,827 - mmseg - INFO - Iter [57050/80000] lr: 4.119e-07, eta: 12:21:19, time: 1.889, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2414, decode.loss_mask: 0.5001, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3307, decode.d1.loss_mask: 0.5197, decode.d1.loss_dice: 0.7705, decode.d2.loss_cls: 0.2847, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7452, decode.d3.loss_cls: 0.2684, decode.d3.loss_mask: 0.5034, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.5028, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2582, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7283, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.5005, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2464, decode.d7.loss_mask: 0.4995, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2440, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7254, loss: 16.1586 2022-05-01 22:29:35,876 - mmseg - INFO - Iter [57100/80000] lr: 4.110e-07, eta: 12:19:41, time: 1.881, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2368, decode.loss_mask: 0.4724, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8186, decode.d1.loss_cls: 0.3269, decode.d1.loss_mask: 0.4946, decode.d1.loss_dice: 0.7764, decode.d2.loss_cls: 0.2831, decode.d2.loss_mask: 0.4849, decode.d2.loss_dice: 0.7469, decode.d3.loss_cls: 0.2627, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2522, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.7310, decode.d5.loss_cls: 0.2431, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2369, decode.d7.loss_mask: 0.4720, decode.d7.loss_dice: 0.7229, decode.d8.loss_cls: 0.2373, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7155, loss: 15.8007 2022-05-01 22:31:08,730 - mmseg - INFO - Iter [57150/80000] lr: 4.101e-07, eta: 12:18:02, time: 1.854, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2537, decode.loss_mask: 0.5085, decode.loss_dice: 0.7391, decode.d0.loss_cls: 1.2739, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8329, decode.d1.loss_cls: 0.3409, decode.d1.loss_mask: 0.5259, decode.d1.loss_dice: 0.7883, decode.d2.loss_cls: 0.2887, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2661, decode.d3.loss_mask: 0.5147, decode.d3.loss_dice: 0.7511, decode.d4.loss_cls: 0.2657, decode.d4.loss_mask: 0.5128, decode.d4.loss_dice: 0.7551, decode.d5.loss_cls: 0.2633, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7444, decode.d6.loss_cls: 0.2565, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7398, decode.d7.loss_cls: 0.2529, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2516, decode.d8.loss_mask: 0.5066, decode.d8.loss_dice: 0.7381, loss: 16.4683 2022-05-01 22:32:42,038 - mmseg - INFO - Iter [57200/80000] lr: 4.092e-07, eta: 12:16:24, time: 1.870, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2468, decode.loss_mask: 0.4849, decode.loss_dice: 0.7310, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.5323, decode.d0.loss_dice: 0.8236, decode.d1.loss_cls: 0.3466, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7780, decode.d2.loss_cls: 0.2946, decode.d2.loss_mask: 0.4981, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2705, decode.d3.loss_mask: 0.4912, decode.d3.loss_dice: 0.7344, decode.d4.loss_cls: 0.2621, decode.d4.loss_mask: 0.4893, decode.d4.loss_dice: 0.7385, decode.d5.loss_cls: 0.2552, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7376, decode.d6.loss_cls: 0.2530, decode.d6.loss_mask: 0.4877, decode.d6.loss_dice: 0.7306, decode.d7.loss_cls: 0.2465, decode.d7.loss_mask: 0.4866, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7308, loss: 16.1180 2022-05-01 22:34:14,640 - mmseg - INFO - Iter [57250/80000] lr: 4.083e-07, eta: 12:14:45, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2720, decode.loss_mask: 0.4637, decode.loss_dice: 0.7339, decode.d0.loss_cls: 1.3153, decode.d0.loss_mask: 0.5086, decode.d0.loss_dice: 0.8290, decode.d1.loss_cls: 0.3650, decode.d1.loss_mask: 0.4865, decode.d1.loss_dice: 0.7813, decode.d2.loss_cls: 0.3189, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7608, decode.d3.loss_cls: 0.2960, decode.d3.loss_mask: 0.4707, decode.d3.loss_dice: 0.7406, decode.d4.loss_cls: 0.2906, decode.d4.loss_mask: 0.4693, decode.d4.loss_dice: 0.7415, decode.d5.loss_cls: 0.2855, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.7319, decode.d6.loss_cls: 0.2808, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.7286, decode.d7.loss_cls: 0.2738, decode.d7.loss_mask: 0.4636, decode.d7.loss_dice: 0.7278, decode.d8.loss_cls: 0.2697, decode.d8.loss_mask: 0.4646, decode.d8.loss_dice: 0.7322, loss: 16.2066 2022-05-01 22:35:46,583 - mmseg - INFO - Iter [57300/80000] lr: 4.074e-07, eta: 12:13:06, time: 1.839, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2374, decode.loss_mask: 0.4890, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.2794, decode.d0.loss_mask: 0.5307, decode.d0.loss_dice: 0.8119, decode.d1.loss_cls: 0.3145, decode.d1.loss_mask: 0.5107, decode.d1.loss_dice: 0.7654, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7350, decode.d3.loss_cls: 0.2664, decode.d3.loss_mask: 0.4954, decode.d3.loss_dice: 0.7291, decode.d4.loss_cls: 0.2566, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2476, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7217, decode.d6.loss_cls: 0.2421, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7220, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4887, decode.d7.loss_dice: 0.7178, decode.d8.loss_cls: 0.2375, decode.d8.loss_mask: 0.4907, decode.d8.loss_dice: 0.7180, loss: 15.9415 2022-05-01 22:37:19,775 - mmseg - INFO - Iter [57350/80000] lr: 4.065e-07, eta: 12:11:28, time: 1.864, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2672, decode.loss_mask: 0.4946, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.3264, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8606, decode.d1.loss_cls: 0.3637, decode.d1.loss_mask: 0.5175, decode.d1.loss_dice: 0.8014, decode.d2.loss_cls: 0.3240, decode.d2.loss_mask: 0.5052, decode.d2.loss_dice: 0.7761, decode.d3.loss_cls: 0.3013, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7557, decode.d4.loss_cls: 0.2866, decode.d4.loss_mask: 0.4992, decode.d4.loss_dice: 0.7588, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.4973, decode.d5.loss_dice: 0.7518, decode.d6.loss_cls: 0.2778, decode.d6.loss_mask: 0.4941, decode.d6.loss_dice: 0.7473, decode.d7.loss_cls: 0.2763, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7475, decode.d8.loss_cls: 0.2744, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7490, loss: 16.7123 2022-05-01 22:38:53,714 - mmseg - INFO - Iter [57400/80000] lr: 4.056e-07, eta: 12:09:50, time: 1.878, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2518, decode.loss_mask: 0.4994, decode.loss_dice: 0.7508, decode.d0.loss_cls: 1.2883, decode.d0.loss_mask: 0.5422, decode.d0.loss_dice: 0.8521, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.5210, decode.d1.loss_dice: 0.8000, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.5088, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.2848, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7623, decode.d4.loss_cls: 0.2749, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7584, decode.d5.loss_cls: 0.2645, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7563, decode.d6.loss_cls: 0.2596, decode.d6.loss_mask: 0.5015, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.2588, decode.d7.loss_mask: 0.4990, decode.d7.loss_dice: 0.7489, decode.d8.loss_cls: 0.2576, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7517, loss: 16.5554 2022-05-01 22:40:26,661 - mmseg - INFO - Iter [57450/80000] lr: 4.047e-07, eta: 12:08:12, time: 1.859, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2690, decode.loss_mask: 0.5140, decode.loss_dice: 0.7384, decode.d0.loss_cls: 1.3064, decode.d0.loss_mask: 0.5623, decode.d0.loss_dice: 0.8523, decode.d1.loss_cls: 0.3614, decode.d1.loss_mask: 0.5344, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2955, decode.d3.loss_mask: 0.5193, decode.d3.loss_dice: 0.7490, decode.d4.loss_cls: 0.2881, decode.d4.loss_mask: 0.5168, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7491, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.5141, decode.d6.loss_dice: 0.7415, decode.d7.loss_cls: 0.2728, decode.d7.loss_mask: 0.5139, decode.d7.loss_dice: 0.7438, decode.d8.loss_cls: 0.2689, decode.d8.loss_mask: 0.5133, decode.d8.loss_dice: 0.7408, loss: 16.7760 2022-05-01 22:42:00,741 - mmseg - INFO - Iter [57500/80000] lr: 4.038e-07, eta: 12:06:34, time: 1.882, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2554, decode.loss_mask: 0.5090, decode.loss_dice: 0.7467, decode.d0.loss_cls: 1.2600, decode.d0.loss_mask: 0.5534, decode.d0.loss_dice: 0.8478, decode.d1.loss_cls: 0.3354, decode.d1.loss_mask: 0.5288, decode.d1.loss_dice: 0.7999, decode.d2.loss_cls: 0.2945, decode.d2.loss_mask: 0.5196, decode.d2.loss_dice: 0.7771, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.5186, decode.d3.loss_dice: 0.7621, decode.d4.loss_cls: 0.2785, decode.d4.loss_mask: 0.5121, decode.d4.loss_dice: 0.7583, decode.d5.loss_cls: 0.2674, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2613, decode.d6.loss_mask: 0.5087, decode.d6.loss_dice: 0.7467, decode.d7.loss_cls: 0.2596, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7463, decode.d8.loss_cls: 0.2601, decode.d8.loss_mask: 0.5084, decode.d8.loss_dice: 0.7481, loss: 16.6218 2022-05-01 22:43:35,716 - mmseg - INFO - Iter [57550/80000] lr: 4.029e-07, eta: 12:04:56, time: 1.900, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2564, decode.loss_mask: 0.4967, decode.loss_dice: 0.7450, decode.d0.loss_cls: 1.2710, decode.d0.loss_mask: 0.5389, decode.d0.loss_dice: 0.8370, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7913, decode.d2.loss_cls: 0.3121, decode.d2.loss_mask: 0.5069, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.2811, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7482, decode.d4.loss_cls: 0.2776, decode.d4.loss_mask: 0.5014, decode.d4.loss_dice: 0.7491, decode.d5.loss_cls: 0.2656, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7497, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7398, decode.d7.loss_cls: 0.2529, decode.d7.loss_mask: 0.4981, decode.d7.loss_dice: 0.7411, decode.d8.loss_cls: 0.2530, decode.d8.loss_mask: 0.4965, decode.d8.loss_dice: 0.7435, loss: 16.4378 2022-05-01 22:45:09,926 - mmseg - INFO - Iter [57600/80000] lr: 4.020e-07, eta: 12:03:18, time: 1.883, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2462, decode.loss_mask: 0.4994, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.2708, decode.d0.loss_mask: 0.5476, decode.d0.loss_dice: 0.8291, decode.d1.loss_cls: 0.3326, decode.d1.loss_mask: 0.5224, decode.d1.loss_dice: 0.7887, decode.d2.loss_cls: 0.2930, decode.d2.loss_mask: 0.5105, decode.d2.loss_dice: 0.7670, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.5067, decode.d3.loss_dice: 0.7494, decode.d4.loss_cls: 0.2676, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2579, decode.d5.loss_mask: 0.5037, decode.d5.loss_dice: 0.7413, decode.d6.loss_cls: 0.2508, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7332, decode.d7.loss_cls: 0.2503, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7349, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.5001, decode.d8.loss_dice: 0.7368, loss: 16.3416 2022-05-01 22:46:44,070 - mmseg - INFO - Iter [57650/80000] lr: 4.011e-07, eta: 12:01:40, time: 1.884, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2479, decode.loss_mask: 0.4915, decode.loss_dice: 0.7236, decode.d0.loss_cls: 1.3016, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3404, decode.d1.loss_mask: 0.5147, decode.d1.loss_dice: 0.7744, decode.d2.loss_cls: 0.2915, decode.d2.loss_mask: 0.5056, decode.d2.loss_dice: 0.7519, decode.d3.loss_cls: 0.2698, decode.d3.loss_mask: 0.4975, decode.d3.loss_dice: 0.7418, decode.d4.loss_cls: 0.2663, decode.d4.loss_mask: 0.4946, decode.d4.loss_dice: 0.7357, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4953, decode.d5.loss_dice: 0.7326, decode.d6.loss_cls: 0.2538, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2483, decode.d7.loss_mask: 0.4930, decode.d7.loss_dice: 0.7281, decode.d8.loss_cls: 0.2462, decode.d8.loss_mask: 0.4929, decode.d8.loss_dice: 0.7248, loss: 16.1918 2022-05-01 22:48:16,804 - mmseg - INFO - Iter [57700/80000] lr: 4.002e-07, eta: 12:00:02, time: 1.855, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2457, decode.loss_mask: 0.5013, decode.loss_dice: 0.7433, decode.d0.loss_cls: 1.2605, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8334, decode.d1.loss_cls: 0.3190, decode.d1.loss_mask: 0.5267, decode.d1.loss_dice: 0.7868, decode.d2.loss_cls: 0.2812, decode.d2.loss_mask: 0.5131, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2629, decode.d3.loss_mask: 0.5068, decode.d3.loss_dice: 0.7497, decode.d4.loss_cls: 0.2548, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7468, decode.d5.loss_cls: 0.2513, decode.d5.loss_mask: 0.5041, decode.d5.loss_dice: 0.7464, decode.d6.loss_cls: 0.2453, decode.d6.loss_mask: 0.5022, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2432, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7420, decode.d8.loss_cls: 0.2449, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7414, loss: 16.3151 2022-05-01 22:49:49,362 - mmseg - INFO - Iter [57750/80000] lr: 3.993e-07, eta: 11:58:23, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2249, decode.loss_mask: 0.4866, decode.loss_dice: 0.7134, decode.d0.loss_cls: 1.2480, decode.d0.loss_mask: 0.5233, decode.d0.loss_dice: 0.8042, decode.d1.loss_cls: 0.3204, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7657, decode.d2.loss_cls: 0.2745, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7397, decode.d3.loss_cls: 0.2592, decode.d3.loss_mask: 0.4913, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7271, decode.d5.loss_cls: 0.2383, decode.d5.loss_mask: 0.4867, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7138, decode.d7.loss_cls: 0.2336, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7152, decode.d8.loss_cls: 0.2271, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7126, loss: 15.7866 2022-05-01 22:51:21,839 - mmseg - INFO - Iter [57800/80000] lr: 3.985e-07, eta: 11:56:45, time: 1.848, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2582, decode.loss_mask: 0.4995, decode.loss_dice: 0.7330, decode.d0.loss_cls: 1.2835, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.7863, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5112, decode.d2.loss_dice: 0.7613, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5084, decode.d3.loss_dice: 0.7472, decode.d4.loss_cls: 0.2746, decode.d4.loss_mask: 0.5038, decode.d4.loss_dice: 0.7443, decode.d5.loss_cls: 0.2672, decode.d5.loss_mask: 0.5022, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2634, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7361, decode.d7.loss_cls: 0.2553, decode.d7.loss_mask: 0.4999, decode.d7.loss_dice: 0.7323, decode.d8.loss_cls: 0.2615, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7305, loss: 16.4357 2022-05-01 22:52:55,381 - mmseg - INFO - Iter [57850/80000] lr: 3.976e-07, eta: 11:55:06, time: 1.871, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2372, decode.loss_mask: 0.4779, decode.loss_dice: 0.7153, decode.d0.loss_cls: 1.2849, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3248, decode.d1.loss_mask: 0.5049, decode.d1.loss_dice: 0.7679, decode.d2.loss_cls: 0.2738, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2660, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7311, decode.d4.loss_cls: 0.2556, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2454, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2413, decode.d6.loss_mask: 0.4814, decode.d6.loss_dice: 0.7194, decode.d7.loss_cls: 0.2372, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.7218, decode.d8.loss_cls: 0.2372, decode.d8.loss_mask: 0.4797, decode.d8.loss_dice: 0.7220, loss: 15.9009 2022-05-01 22:54:28,655 - mmseg - INFO - Iter [57900/80000] lr: 3.967e-07, eta: 11:53:28, time: 1.866, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2582, decode.loss_mask: 0.5036, decode.loss_dice: 0.7547, decode.d0.loss_cls: 1.3149, decode.d0.loss_mask: 0.5511, decode.d0.loss_dice: 0.8552, decode.d1.loss_cls: 0.3458, decode.d1.loss_mask: 0.5299, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.5131, decode.d2.loss_dice: 0.7833, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.5110, decode.d3.loss_dice: 0.7726, decode.d4.loss_cls: 0.2727, decode.d4.loss_mask: 0.5074, decode.d4.loss_dice: 0.7708, decode.d5.loss_cls: 0.2671, decode.d5.loss_mask: 0.5047, decode.d5.loss_dice: 0.7638, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.5020, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2650, decode.d7.loss_mask: 0.5022, decode.d7.loss_dice: 0.7562, decode.d8.loss_cls: 0.2589, decode.d8.loss_mask: 0.5024, decode.d8.loss_dice: 0.7560, loss: 16.7358 2022-05-01 22:56:01,761 - mmseg - INFO - Iter [57950/80000] lr: 3.958e-07, eta: 11:51:50, time: 1.861, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2481, decode.loss_mask: 0.4975, decode.loss_dice: 0.7363, decode.d0.loss_cls: 1.2707, decode.d0.loss_mask: 0.5461, decode.d0.loss_dice: 0.8270, decode.d1.loss_cls: 0.3391, decode.d1.loss_mask: 0.5202, decode.d1.loss_dice: 0.7839, decode.d2.loss_cls: 0.2935, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7612, decode.d3.loss_cls: 0.2724, decode.d3.loss_mask: 0.5032, decode.d3.loss_dice: 0.7471, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.5013, decode.d4.loss_dice: 0.7416, decode.d5.loss_cls: 0.2560, decode.d5.loss_mask: 0.4996, decode.d5.loss_dice: 0.7440, decode.d6.loss_cls: 0.2474, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7355, decode.d7.loss_cls: 0.2476, decode.d7.loss_mask: 0.4995, decode.d7.loss_dice: 0.7383, decode.d8.loss_cls: 0.2478, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7373, loss: 16.3079 2022-05-01 22:57:34,172 - mmseg - INFO - Saving checkpoint at 58000 iterations 2022-05-01 22:57:51,680 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 22:57:51,681 - mmseg - INFO - Iter [58000/80000] lr: 3.949e-07, eta: 11:50:18, time: 2.200, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2734, decode.loss_mask: 0.4876, decode.loss_dice: 0.7415, decode.d0.loss_cls: 1.3008, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8412, decode.d1.loss_cls: 0.3729, decode.d1.loss_mask: 0.5104, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.3195, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7635, decode.d3.loss_cls: 0.3031, decode.d3.loss_mask: 0.4921, decode.d3.loss_dice: 0.7497, decode.d4.loss_cls: 0.2942, decode.d4.loss_mask: 0.4929, decode.d4.loss_dice: 0.7442, decode.d5.loss_cls: 0.2879, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2849, decode.d6.loss_mask: 0.4873, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2785, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7400, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.4871, decode.d8.loss_dice: 0.7397, loss: 16.5529 2022-05-01 22:59:24,252 - mmseg - INFO - Iter [58050/80000] lr: 3.940e-07, eta: 11:48:40, time: 1.851, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2682, decode.loss_mask: 0.5040, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.3179, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8465, decode.d1.loss_cls: 0.3671, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.7932, decode.d2.loss_cls: 0.3184, decode.d2.loss_mask: 0.5137, decode.d2.loss_dice: 0.7663, decode.d3.loss_cls: 0.2945, decode.d3.loss_mask: 0.5097, decode.d3.loss_dice: 0.7524, decode.d4.loss_cls: 0.2834, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7517, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.5056, decode.d5.loss_dice: 0.7458, decode.d6.loss_cls: 0.2708, decode.d6.loss_mask: 0.5021, decode.d6.loss_dice: 0.7450, decode.d7.loss_cls: 0.2706, decode.d7.loss_mask: 0.4999, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2673, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.7436, loss: 16.6888 2022-05-01 23:00:57,191 - mmseg - INFO - Iter [58100/80000] lr: 3.931e-07, eta: 11:47:01, time: 1.858, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2653, decode.loss_mask: 0.4975, decode.loss_dice: 0.7551, decode.d0.loss_cls: 1.2961, decode.d0.loss_mask: 0.5390, decode.d0.loss_dice: 0.8455, decode.d1.loss_cls: 0.3520, decode.d1.loss_mask: 0.5230, decode.d1.loss_dice: 0.8039, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7761, decode.d3.loss_cls: 0.2896, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7687, decode.d4.loss_cls: 0.2822, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7685, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7611, decode.d6.loss_cls: 0.2711, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7603, decode.d7.loss_cls: 0.2658, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7583, decode.d8.loss_cls: 0.2673, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7621, loss: 16.7087 2022-05-01 23:02:32,684 - mmseg - INFO - Iter [58150/80000] lr: 3.922e-07, eta: 11:45:24, time: 1.911, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2503, decode.loss_mask: 0.4979, decode.loss_dice: 0.7272, decode.d0.loss_cls: 1.2822, decode.d0.loss_mask: 0.5437, decode.d0.loss_dice: 0.8283, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.7796, decode.d2.loss_cls: 0.2999, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7513, decode.d3.loss_cls: 0.2755, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7401, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7379, decode.d5.loss_cls: 0.2625, decode.d5.loss_mask: 0.4981, decode.d5.loss_dice: 0.7334, decode.d6.loss_cls: 0.2560, decode.d6.loss_mask: 0.4990, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2535, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7257, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7311, loss: 16.2877 2022-05-01 23:04:04,341 - mmseg - INFO - Iter [58200/80000] lr: 3.913e-07, eta: 11:43:45, time: 1.832, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2365, decode.loss_mask: 0.4909, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.2609, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8203, decode.d1.loss_cls: 0.3208, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7829, decode.d2.loss_cls: 0.2769, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7559, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4957, decode.d3.loss_dice: 0.7432, decode.d4.loss_cls: 0.2442, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7412, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7325, decode.d6.loss_cls: 0.2418, decode.d6.loss_mask: 0.4920, decode.d6.loss_dice: 0.7286, decode.d7.loss_cls: 0.2420, decode.d7.loss_mask: 0.4903, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2382, decode.d8.loss_mask: 0.4914, decode.d8.loss_dice: 0.7283, loss: 16.0555 2022-05-01 23:05:38,299 - mmseg - INFO - Iter [58250/80000] lr: 3.904e-07, eta: 11:42:07, time: 1.879, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2565, decode.loss_mask: 0.4943, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.2857, decode.d0.loss_mask: 0.5379, decode.d0.loss_dice: 0.8364, decode.d1.loss_cls: 0.3509, decode.d1.loss_mask: 0.5149, decode.d1.loss_dice: 0.7971, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.5042, decode.d2.loss_dice: 0.7728, decode.d3.loss_cls: 0.2891, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2751, decode.d4.loss_mask: 0.4981, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2669, decode.d5.loss_mask: 0.4984, decode.d5.loss_dice: 0.7526, decode.d6.loss_cls: 0.2605, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7467, decode.d7.loss_cls: 0.2628, decode.d7.loss_mask: 0.4939, decode.d7.loss_dice: 0.7467, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.4929, decode.d8.loss_dice: 0.7421, loss: 16.4844 2022-05-01 23:07:10,816 - mmseg - INFO - Iter [58300/80000] lr: 3.895e-07, eta: 11:40:29, time: 1.850, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2356, decode.loss_mask: 0.4888, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.2666, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8037, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7611, decode.d2.loss_cls: 0.2861, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7397, decode.d3.loss_cls: 0.2605, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7302, decode.d4.loss_cls: 0.2536, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7216, decode.d5.loss_cls: 0.2452, decode.d5.loss_mask: 0.4901, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4907, decode.d6.loss_dice: 0.7137, decode.d7.loss_cls: 0.2376, decode.d7.loss_mask: 0.4885, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2363, decode.d8.loss_mask: 0.4891, decode.d8.loss_dice: 0.7066, loss: 15.8715 2022-05-01 23:08:43,632 - mmseg - INFO - Iter [58350/80000] lr: 3.886e-07, eta: 11:38:50, time: 1.857, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2440, decode.loss_mask: 0.4733, decode.loss_dice: 0.6958, decode.d0.loss_cls: 1.2886, decode.d0.loss_mask: 0.5213, decode.d0.loss_dice: 0.7984, decode.d1.loss_cls: 0.3366, decode.d1.loss_mask: 0.4981, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2935, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7216, decode.d3.loss_cls: 0.2718, decode.d3.loss_mask: 0.4798, decode.d3.loss_dice: 0.7105, decode.d4.loss_cls: 0.2594, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.7048, decode.d5.loss_cls: 0.2541, decode.d5.loss_mask: 0.4747, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.2550, decode.d6.loss_mask: 0.4744, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2430, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.6987, loss: 15.7011 2022-05-01 23:10:16,121 - mmseg - INFO - Iter [58400/80000] lr: 3.877e-07, eta: 11:37:12, time: 1.850, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2758, decode.loss_mask: 0.5085, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.3219, decode.d0.loss_mask: 0.5597, decode.d0.loss_dice: 0.8442, decode.d1.loss_cls: 0.3691, decode.d1.loss_mask: 0.5341, decode.d1.loss_dice: 0.7979, decode.d2.loss_cls: 0.3183, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.7676, decode.d3.loss_cls: 0.2998, decode.d3.loss_mask: 0.5153, decode.d3.loss_dice: 0.7553, decode.d4.loss_cls: 0.2907, decode.d4.loss_mask: 0.5130, decode.d4.loss_dice: 0.7535, decode.d5.loss_cls: 0.2856, decode.d5.loss_mask: 0.5096, decode.d5.loss_dice: 0.7449, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7354, decode.d7.loss_cls: 0.2718, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7419, decode.d8.loss_cls: 0.2738, decode.d8.loss_mask: 0.5077, decode.d8.loss_dice: 0.7389, loss: 16.7847 2022-05-01 23:11:51,125 - mmseg - INFO - Iter [58450/80000] lr: 3.868e-07, eta: 11:35:34, time: 1.899, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2439, decode.loss_mask: 0.4955, decode.loss_dice: 0.7220, decode.d0.loss_cls: 1.2673, decode.d0.loss_mask: 0.5379, decode.d0.loss_dice: 0.8104, decode.d1.loss_cls: 0.3275, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2859, decode.d2.loss_mask: 0.5045, decode.d2.loss_dice: 0.7412, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7291, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.4989, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2523, decode.d5.loss_mask: 0.4960, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.4980, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2424, decode.d7.loss_mask: 0.4952, decode.d7.loss_dice: 0.7199, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7233, loss: 16.0642 2022-05-01 23:13:24,435 - mmseg - INFO - Iter [58500/80000] lr: 3.859e-07, eta: 11:33:56, time: 1.867, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2589, decode.loss_mask: 0.4883, decode.loss_dice: 0.7294, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.5353, decode.d0.loss_dice: 0.8310, decode.d1.loss_cls: 0.3663, decode.d1.loss_mask: 0.5106, decode.d1.loss_dice: 0.7841, decode.d2.loss_cls: 0.3116, decode.d2.loss_mask: 0.4988, decode.d2.loss_dice: 0.7551, decode.d3.loss_cls: 0.2855, decode.d3.loss_mask: 0.4961, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2737, decode.d4.loss_mask: 0.4944, decode.d4.loss_dice: 0.7346, decode.d5.loss_cls: 0.2737, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2714, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2656, decode.d7.loss_mask: 0.4878, decode.d7.loss_dice: 0.7256, decode.d8.loss_cls: 0.2674, decode.d8.loss_mask: 0.4871, decode.d8.loss_dice: 0.7247, loss: 16.3310 2022-05-01 23:14:58,053 - mmseg - INFO - Iter [58550/80000] lr: 3.850e-07, eta: 11:32:18, time: 1.873, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2469, decode.loss_mask: 0.5044, decode.loss_dice: 0.7295, decode.d0.loss_cls: 1.2795, decode.d0.loss_mask: 0.5540, decode.d0.loss_dice: 0.8209, decode.d1.loss_cls: 0.3350, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7790, decode.d2.loss_cls: 0.2920, decode.d2.loss_mask: 0.5167, decode.d2.loss_dice: 0.7535, decode.d3.loss_cls: 0.2749, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.2631, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7380, decode.d5.loss_cls: 0.2609, decode.d5.loss_mask: 0.5072, decode.d5.loss_dice: 0.7349, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7280, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.5057, decode.d7.loss_dice: 0.7340, decode.d8.loss_cls: 0.2487, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7286, loss: 16.3252 2022-05-01 23:16:30,913 - mmseg - INFO - Iter [58600/80000] lr: 3.841e-07, eta: 11:30:40, time: 1.856, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2276, decode.loss_mask: 0.4639, decode.loss_dice: 0.7084, decode.d0.loss_cls: 1.2537, decode.d0.loss_mask: 0.5033, decode.d0.loss_dice: 0.7938, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.4843, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2675, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2530, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2419, decode.d4.loss_mask: 0.4715, decode.d4.loss_dice: 0.7246, decode.d5.loss_cls: 0.2403, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2351, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2388, decode.d7.loss_mask: 0.4661, decode.d7.loss_dice: 0.7111, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.7062, loss: 15.5213 2022-05-01 23:18:03,288 - mmseg - INFO - Iter [58650/80000] lr: 3.832e-07, eta: 11:29:02, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2418, decode.loss_mask: 0.4865, decode.loss_dice: 0.7167, decode.d0.loss_cls: 1.2561, decode.d0.loss_mask: 0.5344, decode.d0.loss_dice: 0.8159, decode.d1.loss_cls: 0.3359, decode.d1.loss_mask: 0.5066, decode.d1.loss_dice: 0.7719, decode.d2.loss_cls: 0.2905, decode.d2.loss_mask: 0.4974, decode.d2.loss_dice: 0.7421, decode.d3.loss_cls: 0.2706, decode.d3.loss_mask: 0.4938, decode.d3.loss_dice: 0.7285, decode.d4.loss_cls: 0.2651, decode.d4.loss_mask: 0.4895, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4878, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2543, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2455, decode.d7.loss_mask: 0.4877, decode.d7.loss_dice: 0.7176, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.7188, loss: 15.9864 2022-05-01 23:19:35,686 - mmseg - INFO - Iter [58700/80000] lr: 3.823e-07, eta: 11:27:23, time: 1.848, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.4941, decode.loss_dice: 0.7149, decode.d0.loss_cls: 1.2375, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8018, decode.d1.loss_cls: 0.3201, decode.d1.loss_mask: 0.5147, decode.d1.loss_dice: 0.7641, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.5054, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.4996, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2572, decode.d4.loss_mask: 0.4991, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4962, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2474, decode.d6.loss_mask: 0.4960, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2485, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7152, decode.d8.loss_cls: 0.2429, decode.d8.loss_mask: 0.4942, decode.d8.loss_dice: 0.7142, loss: 15.9763 2022-05-01 23:21:08,012 - mmseg - INFO - Iter [58750/80000] lr: 3.814e-07, eta: 11:25:45, time: 1.847, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2651, decode.loss_mask: 0.4697, decode.loss_dice: 0.7172, decode.d0.loss_cls: 1.2679, decode.d0.loss_mask: 0.5167, decode.d0.loss_dice: 0.8190, decode.d1.loss_cls: 0.3479, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7736, decode.d2.loss_cls: 0.3050, decode.d2.loss_mask: 0.4812, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2850, decode.d3.loss_mask: 0.4745, decode.d3.loss_dice: 0.7361, decode.d4.loss_cls: 0.2858, decode.d4.loss_mask: 0.4710, decode.d4.loss_dice: 0.7279, decode.d5.loss_cls: 0.2784, decode.d5.loss_mask: 0.4719, decode.d5.loss_dice: 0.7315, decode.d6.loss_cls: 0.2684, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.7248, decode.d7.loss_cls: 0.2670, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7235, decode.d8.loss_cls: 0.2622, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7222, loss: 16.0450 2022-05-01 23:22:39,102 - mmseg - INFO - Iter [58800/80000] lr: 3.805e-07, eta: 11:24:06, time: 1.822, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2503, decode.loss_mask: 0.4854, decode.loss_dice: 0.7201, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5305, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3363, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7746, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2713, decode.d3.loss_mask: 0.4912, decode.d3.loss_dice: 0.7321, decode.d4.loss_cls: 0.2618, decode.d4.loss_mask: 0.4893, decode.d4.loss_dice: 0.7244, decode.d5.loss_cls: 0.2543, decode.d5.loss_mask: 0.4884, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2564, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7207, decode.d7.loss_cls: 0.2464, decode.d7.loss_mask: 0.4884, decode.d7.loss_dice: 0.7215, decode.d8.loss_cls: 0.2462, decode.d8.loss_mask: 0.4870, decode.d8.loss_dice: 0.7223, loss: 16.0523 2022-05-01 23:24:12,544 - mmseg - INFO - Iter [58850/80000] lr: 3.796e-07, eta: 11:22:28, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2490, decode.loss_mask: 0.4950, decode.loss_dice: 0.7329, decode.d0.loss_cls: 1.2896, decode.d0.loss_mask: 0.5483, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3300, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7890, decode.d2.loss_cls: 0.2918, decode.d2.loss_mask: 0.5082, decode.d2.loss_dice: 0.7570, decode.d3.loss_cls: 0.2721, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7476, decode.d4.loss_cls: 0.2663, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7407, decode.d5.loss_cls: 0.2583, decode.d5.loss_mask: 0.4997, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2576, decode.d6.loss_mask: 0.4976, decode.d6.loss_dice: 0.7348, decode.d7.loss_cls: 0.2526, decode.d7.loss_mask: 0.4980, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2533, decode.d8.loss_mask: 0.4969, decode.d8.loss_dice: 0.7352, loss: 16.3334 2022-05-01 23:25:45,179 - mmseg - INFO - Iter [58900/80000] lr: 3.787e-07, eta: 11:20:49, time: 1.853, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.5022, decode.loss_dice: 0.7102, decode.d0.loss_cls: 1.2543, decode.d0.loss_mask: 0.5488, decode.d0.loss_dice: 0.8178, decode.d1.loss_cls: 0.3308, decode.d1.loss_mask: 0.5281, decode.d1.loss_dice: 0.7713, decode.d2.loss_cls: 0.2880, decode.d2.loss_mask: 0.5165, decode.d2.loss_dice: 0.7338, decode.d3.loss_cls: 0.2662, decode.d3.loss_mask: 0.5118, decode.d3.loss_dice: 0.7217, decode.d4.loss_cls: 0.2591, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7226, decode.d5.loss_cls: 0.2497, decode.d5.loss_mask: 0.5052, decode.d5.loss_dice: 0.7184, decode.d6.loss_cls: 0.2440, decode.d6.loss_mask: 0.5040, decode.d6.loss_dice: 0.7139, decode.d7.loss_cls: 0.2429, decode.d7.loss_mask: 0.5024, decode.d7.loss_dice: 0.7176, decode.d8.loss_cls: 0.2415, decode.d8.loss_mask: 0.5023, decode.d8.loss_dice: 0.7139, loss: 16.0862 2022-05-01 23:27:17,592 - mmseg - INFO - Iter [58950/80000] lr: 3.778e-07, eta: 11:19:11, time: 1.848, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2413, decode.loss_mask: 0.4839, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.2638, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8199, decode.d1.loss_cls: 0.3353, decode.d1.loss_mask: 0.5094, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.2862, decode.d2.loss_mask: 0.4957, decode.d2.loss_dice: 0.7514, decode.d3.loss_cls: 0.2667, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7411, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4871, decode.d4.loss_dice: 0.7388, decode.d5.loss_cls: 0.2532, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7379, decode.d6.loss_cls: 0.2482, decode.d6.loss_mask: 0.4856, decode.d6.loss_dice: 0.7331, decode.d7.loss_cls: 0.2443, decode.d7.loss_mask: 0.4849, decode.d7.loss_dice: 0.7314, decode.d8.loss_cls: 0.2418, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.7288, loss: 16.0686 2022-05-01 23:28:48,986 - mmseg - INFO - Saving checkpoint at 59000 iterations 2022-05-01 23:29:23,769 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-01 23:29:23,778 - mmseg - INFO - Iter [59000/80000] lr: 3.769e-07, eta: 11:17:45, time: 2.521, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2442, decode.loss_mask: 0.4977, decode.loss_dice: 0.7198, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5460, decode.d0.loss_dice: 0.8165, decode.d1.loss_cls: 0.3338, decode.d1.loss_mask: 0.5202, decode.d1.loss_dice: 0.7727, decode.d2.loss_cls: 0.2947, decode.d2.loss_mask: 0.5077, decode.d2.loss_dice: 0.7420, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7310, decode.d4.loss_cls: 0.2651, decode.d4.loss_mask: 0.4972, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2600, decode.d5.loss_mask: 0.4974, decode.d5.loss_dice: 0.7207, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4983, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2430, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7234, decode.d8.loss_cls: 0.2440, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7220, loss: 16.1200 2022-05-01 23:30:55,387 - mmseg - INFO - Iter [59050/80000] lr: 3.760e-07, eta: 11:16:06, time: 1.836, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2414, decode.loss_mask: 0.4806, decode.loss_dice: 0.7120, decode.d0.loss_cls: 1.2655, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8063, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2892, decode.d2.loss_mask: 0.4915, decode.d2.loss_dice: 0.7400, decode.d3.loss_cls: 0.2689, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7278, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2538, decode.d5.loss_mask: 0.4819, decode.d5.loss_dice: 0.7183, decode.d6.loss_cls: 0.2519, decode.d6.loss_mask: 0.4790, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2494, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7149, decode.d8.loss_cls: 0.2446, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7129, loss: 15.8744 2022-05-01 23:32:28,831 - mmseg - INFO - Iter [59100/80000] lr: 3.751e-07, eta: 11:14:28, time: 1.869, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2503, decode.loss_mask: 0.5063, decode.loss_dice: 0.7402, decode.d0.loss_cls: 1.2631, decode.d0.loss_mask: 0.5536, decode.d0.loss_dice: 0.8354, decode.d1.loss_cls: 0.3428, decode.d1.loss_mask: 0.5317, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.5160, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2770, decode.d3.loss_mask: 0.5109, decode.d3.loss_dice: 0.7505, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7533, decode.d5.loss_cls: 0.2603, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7458, decode.d6.loss_cls: 0.2581, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7391, decode.d7.loss_cls: 0.2540, decode.d7.loss_mask: 0.5077, decode.d7.loss_dice: 0.7403, decode.d8.loss_cls: 0.2520, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7419, loss: 16.4850 2022-05-01 23:34:04,540 - mmseg - INFO - Iter [59150/80000] lr: 3.742e-07, eta: 11:12:51, time: 1.914, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2497, decode.loss_mask: 0.4775, decode.loss_dice: 0.7314, decode.d0.loss_cls: 1.2856, decode.d0.loss_mask: 0.5235, decode.d0.loss_dice: 0.8226, decode.d1.loss_cls: 0.3397, decode.d1.loss_mask: 0.4998, decode.d1.loss_dice: 0.7837, decode.d2.loss_cls: 0.3000, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7590, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7460, decode.d4.loss_cls: 0.2724, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7367, decode.d5.loss_cls: 0.2602, decode.d5.loss_mask: 0.4791, decode.d5.loss_dice: 0.7369, decode.d6.loss_cls: 0.2541, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.7296, decode.d7.loss_cls: 0.2532, decode.d7.loss_mask: 0.4770, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2512, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7337, loss: 16.1150 2022-05-01 23:35:38,442 - mmseg - INFO - Iter [59200/80000] lr: 3.733e-07, eta: 11:11:13, time: 1.878, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2446, decode.loss_mask: 0.5083, decode.loss_dice: 0.7550, decode.d0.loss_cls: 1.2783, decode.d0.loss_mask: 0.5564, decode.d0.loss_dice: 0.8616, decode.d1.loss_cls: 0.3348, decode.d1.loss_mask: 0.5354, decode.d1.loss_dice: 0.8075, decode.d2.loss_cls: 0.2981, decode.d2.loss_mask: 0.5167, decode.d2.loss_dice: 0.7728, decode.d3.loss_cls: 0.2758, decode.d3.loss_mask: 0.5106, decode.d3.loss_dice: 0.7609, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.5111, decode.d4.loss_dice: 0.7634, decode.d5.loss_cls: 0.2573, decode.d5.loss_mask: 0.5111, decode.d5.loss_dice: 0.7571, decode.d6.loss_cls: 0.2499, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7503, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7531, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.5090, decode.d8.loss_dice: 0.7489, loss: 16.5980 2022-05-01 23:37:12,508 - mmseg - INFO - Iter [59250/80000] lr: 3.724e-07, eta: 11:09:35, time: 1.881, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2445, decode.loss_mask: 0.4664, decode.loss_dice: 0.7166, decode.d0.loss_cls: 1.2980, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.8083, decode.d1.loss_cls: 0.3418, decode.d1.loss_mask: 0.4891, decode.d1.loss_dice: 0.7583, decode.d2.loss_cls: 0.2918, decode.d2.loss_mask: 0.4761, decode.d2.loss_dice: 0.7385, decode.d3.loss_cls: 0.2754, decode.d3.loss_mask: 0.4715, decode.d3.loss_dice: 0.7231, decode.d4.loss_cls: 0.2657, decode.d4.loss_mask: 0.4695, decode.d4.loss_dice: 0.7194, decode.d5.loss_cls: 0.2576, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7204, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.7142, decode.d7.loss_cls: 0.2495, decode.d7.loss_mask: 0.4661, decode.d7.loss_dice: 0.7101, decode.d8.loss_cls: 0.2482, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.7121, loss: 15.7903 2022-05-01 23:38:48,006 - mmseg - INFO - Iter [59300/80000] lr: 3.715e-07, eta: 11:07:58, time: 1.910, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2582, decode.loss_mask: 0.4985, decode.loss_dice: 0.7331, decode.d0.loss_cls: 1.3210, decode.d0.loss_mask: 0.5396, decode.d0.loss_dice: 0.8286, decode.d1.loss_cls: 0.3570, decode.d1.loss_mask: 0.5203, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.3036, decode.d2.loss_mask: 0.5086, decode.d2.loss_dice: 0.7586, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.5033, decode.d3.loss_dice: 0.7422, decode.d4.loss_cls: 0.2764, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7363, decode.d5.loss_cls: 0.2740, decode.d5.loss_mask: 0.4999, decode.d5.loss_dice: 0.7356, decode.d6.loss_cls: 0.2646, decode.d6.loss_mask: 0.4977, decode.d6.loss_dice: 0.7323, decode.d7.loss_cls: 0.2647, decode.d7.loss_mask: 0.4958, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2580, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7320, loss: 16.4425 2022-05-01 23:40:20,815 - mmseg - INFO - Iter [59350/80000] lr: 3.706e-07, eta: 11:06:20, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2529, decode.loss_mask: 0.4879, decode.loss_dice: 0.7425, decode.d0.loss_cls: 1.2861, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.8327, decode.d1.loss_cls: 0.3543, decode.d1.loss_mask: 0.5114, decode.d1.loss_dice: 0.7952, decode.d2.loss_cls: 0.3062, decode.d2.loss_mask: 0.4994, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.2852, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7474, decode.d4.loss_cls: 0.2777, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7476, decode.d5.loss_cls: 0.2621, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7440, decode.d6.loss_cls: 0.2598, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2569, decode.d7.loss_mask: 0.4887, decode.d7.loss_dice: 0.7352, decode.d8.loss_cls: 0.2563, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7353, loss: 16.3601 2022-05-01 23:41:53,732 - mmseg - INFO - Iter [59400/80000] lr: 3.697e-07, eta: 11:04:42, time: 1.858, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2478, decode.loss_mask: 0.4984, decode.loss_dice: 0.7215, decode.d0.loss_cls: 1.2959, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8144, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.7741, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.5057, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.5042, decode.d3.loss_dice: 0.7258, decode.d4.loss_cls: 0.2630, decode.d4.loss_mask: 0.5014, decode.d4.loss_dice: 0.7275, decode.d5.loss_cls: 0.2609, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2573, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7200, decode.d7.loss_cls: 0.2504, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2505, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7214, loss: 16.1998 2022-05-01 23:43:30,198 - mmseg - INFO - Iter [59450/80000] lr: 3.688e-07, eta: 11:03:05, time: 1.929, data_time: 0.066, memory: 64716, decode.loss_cls: 0.2393, decode.loss_mask: 0.4716, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2894, decode.d0.loss_mask: 0.5204, decode.d0.loss_dice: 0.8141, decode.d1.loss_cls: 0.3286, decode.d1.loss_mask: 0.4949, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2840, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2675, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7347, decode.d4.loss_cls: 0.2561, decode.d4.loss_mask: 0.4776, decode.d4.loss_dice: 0.7334, decode.d5.loss_cls: 0.2469, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2472, decode.d6.loss_mask: 0.4732, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2468, decode.d7.loss_mask: 0.4732, decode.d7.loss_dice: 0.7182, decode.d8.loss_cls: 0.2407, decode.d8.loss_mask: 0.4733, decode.d8.loss_dice: 0.7209, loss: 15.8781 2022-05-01 23:45:03,333 - mmseg - INFO - Iter [59500/80000] lr: 3.679e-07, eta: 11:01:27, time: 1.862, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2402, decode.loss_mask: 0.4699, decode.loss_dice: 0.7155, decode.d0.loss_cls: 1.2725, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.8169, decode.d1.loss_cls: 0.3261, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7674, decode.d2.loss_cls: 0.2783, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7288, decode.d4.loss_cls: 0.2522, decode.d4.loss_mask: 0.4777, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2495, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2452, decode.d6.loss_mask: 0.4720, decode.d6.loss_dice: 0.7210, decode.d7.loss_cls: 0.2453, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7178, decode.d8.loss_cls: 0.2423, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.7196, loss: 15.7952 2022-05-01 23:46:34,848 - mmseg - INFO - Iter [59550/80000] lr: 3.670e-07, eta: 10:59:48, time: 1.830, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2467, decode.loss_mask: 0.4900, decode.loss_dice: 0.7163, decode.d0.loss_cls: 1.2948, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3387, decode.d1.loss_mask: 0.5171, decode.d1.loss_dice: 0.7625, decode.d2.loss_cls: 0.3003, decode.d2.loss_mask: 0.5036, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2729, decode.d3.loss_mask: 0.4972, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2609, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2577, decode.d5.loss_mask: 0.4936, decode.d5.loss_dice: 0.7254, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7207, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4922, decode.d7.loss_dice: 0.7210, decode.d8.loss_cls: 0.2454, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7208, loss: 16.0904 2022-05-01 23:48:06,793 - mmseg - INFO - Iter [59600/80000] lr: 3.661e-07, eta: 10:58:10, time: 1.838, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2374, decode.loss_mask: 0.4800, decode.loss_dice: 0.7208, decode.d0.loss_cls: 1.2573, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8224, decode.d1.loss_cls: 0.3238, decode.d1.loss_mask: 0.5034, decode.d1.loss_dice: 0.7670, decode.d2.loss_cls: 0.2861, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4850, decode.d3.loss_dice: 0.7316, decode.d4.loss_cls: 0.2566, decode.d4.loss_mask: 0.4825, decode.d4.loss_dice: 0.7331, decode.d5.loss_cls: 0.2538, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.7305, decode.d6.loss_cls: 0.2459, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2379, decode.d7.loss_mask: 0.4788, decode.d7.loss_dice: 0.7234, decode.d8.loss_cls: 0.2411, decode.d8.loss_mask: 0.4785, decode.d8.loss_dice: 0.7206, loss: 15.9167 2022-05-01 23:49:38,786 - mmseg - INFO - Iter [59650/80000] lr: 3.652e-07, eta: 10:56:31, time: 1.841, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2423, decode.loss_mask: 0.4993, decode.loss_dice: 0.7316, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3295, decode.d1.loss_mask: 0.5267, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.2874, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.2672, decode.d3.loss_mask: 0.5089, decode.d3.loss_dice: 0.7482, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7462, decode.d5.loss_cls: 0.2500, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7453, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.5041, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.5015, decode.d7.loss_dice: 0.7323, decode.d8.loss_cls: 0.2418, decode.d8.loss_mask: 0.5012, decode.d8.loss_dice: 0.7346, loss: 16.3030 2022-05-01 23:51:11,075 - mmseg - INFO - Iter [59700/80000] lr: 3.644e-07, eta: 10:54:53, time: 1.845, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2468, decode.loss_mask: 0.4921, decode.loss_dice: 0.7171, decode.d0.loss_cls: 1.2731, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3461, decode.d1.loss_mask: 0.5145, decode.d1.loss_dice: 0.7604, decode.d2.loss_cls: 0.2949, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2759, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2600, decode.d4.loss_mask: 0.4945, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2545, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2527, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7143, decode.d7.loss_cls: 0.2491, decode.d7.loss_mask: 0.4939, decode.d7.loss_dice: 0.7171, decode.d8.loss_cls: 0.2427, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7147, loss: 16.0229 2022-05-01 23:52:43,225 - mmseg - INFO - Iter [59750/80000] lr: 3.635e-07, eta: 10:53:14, time: 1.842, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2521, decode.loss_mask: 0.4771, decode.loss_dice: 0.7313, decode.d0.loss_cls: 1.3016, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8291, decode.d1.loss_cls: 0.3394, decode.d1.loss_mask: 0.4995, decode.d1.loss_dice: 0.7777, decode.d2.loss_cls: 0.2926, decode.d2.loss_mask: 0.4910, decode.d2.loss_dice: 0.7528, decode.d3.loss_cls: 0.2715, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7398, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.4823, decode.d4.loss_dice: 0.7393, decode.d5.loss_cls: 0.2596, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7374, decode.d6.loss_cls: 0.2521, decode.d6.loss_mask: 0.4813, decode.d6.loss_dice: 0.7349, decode.d7.loss_cls: 0.2517, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7364, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4773, decode.d8.loss_dice: 0.7356, loss: 16.1257 2022-05-01 23:54:16,462 - mmseg - INFO - Iter [59800/80000] lr: 3.626e-07, eta: 10:51:37, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2531, decode.loss_mask: 0.4908, decode.loss_dice: 0.7220, decode.d0.loss_cls: 1.2510, decode.d0.loss_mask: 0.5359, decode.d0.loss_dice: 0.8137, decode.d1.loss_cls: 0.3346, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7727, decode.d2.loss_cls: 0.2920, decode.d2.loss_mask: 0.5066, decode.d2.loss_dice: 0.7447, decode.d3.loss_cls: 0.2809, decode.d3.loss_mask: 0.4957, decode.d3.loss_dice: 0.7302, decode.d4.loss_cls: 0.2718, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7320, decode.d5.loss_cls: 0.2658, decode.d5.loss_mask: 0.4935, decode.d5.loss_dice: 0.7270, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7210, decode.d7.loss_cls: 0.2548, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7289, decode.d8.loss_cls: 0.2529, decode.d8.loss_mask: 0.4906, decode.d8.loss_dice: 0.7268, loss: 16.1535 2022-05-01 23:55:47,498 - mmseg - INFO - Iter [59850/80000] lr: 3.617e-07, eta: 10:49:58, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2465, decode.loss_mask: 0.4719, decode.loss_dice: 0.7245, decode.d0.loss_cls: 1.2921, decode.d0.loss_mask: 0.5133, decode.d0.loss_dice: 0.8264, decode.d1.loss_cls: 0.3386, decode.d1.loss_mask: 0.4969, decode.d1.loss_dice: 0.7764, decode.d2.loss_cls: 0.2900, decode.d2.loss_mask: 0.4854, decode.d2.loss_dice: 0.7503, decode.d3.loss_cls: 0.2728, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7381, decode.d4.loss_cls: 0.2615, decode.d4.loss_mask: 0.4798, decode.d4.loss_dice: 0.7355, decode.d5.loss_cls: 0.2535, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.7282, decode.d7.loss_cls: 0.2541, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.7271, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.7270, loss: 15.9971 2022-05-01 23:57:20,056 - mmseg - INFO - Iter [59900/80000] lr: 3.608e-07, eta: 10:48:20, time: 1.852, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2384, decode.loss_mask: 0.5057, decode.loss_dice: 0.7267, decode.d0.loss_cls: 1.2360, decode.d0.loss_mask: 0.5510, decode.d0.loss_dice: 0.8213, decode.d1.loss_cls: 0.3263, decode.d1.loss_mask: 0.5212, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2877, decode.d2.loss_mask: 0.5077, decode.d2.loss_dice: 0.7499, decode.d3.loss_cls: 0.2628, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.5060, decode.d4.loss_dice: 0.7382, decode.d5.loss_cls: 0.2484, decode.d5.loss_mask: 0.5050, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.5037, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2421, decode.d7.loss_mask: 0.5058, decode.d7.loss_dice: 0.7337, decode.d8.loss_cls: 0.2368, decode.d8.loss_mask: 0.5044, decode.d8.loss_dice: 0.7309, loss: 16.1785 2022-05-01 23:58:53,550 - mmseg - INFO - Iter [59950/80000] lr: 3.599e-07, eta: 10:46:42, time: 1.869, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2628, decode.loss_mask: 0.4859, decode.loss_dice: 0.7254, decode.d0.loss_cls: 1.3007, decode.d0.loss_mask: 0.5369, decode.d0.loss_dice: 0.8332, decode.d1.loss_cls: 0.3641, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7815, decode.d2.loss_cls: 0.3130, decode.d2.loss_mask: 0.4989, decode.d2.loss_dice: 0.7520, decode.d3.loss_cls: 0.2936, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7369, decode.d4.loss_cls: 0.2770, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7347, decode.d5.loss_cls: 0.2736, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7325, decode.d6.loss_cls: 0.2699, decode.d6.loss_mask: 0.4891, decode.d6.loss_dice: 0.7265, decode.d7.loss_cls: 0.2693, decode.d7.loss_mask: 0.4862, decode.d7.loss_dice: 0.7254, decode.d8.loss_cls: 0.2642, decode.d8.loss_mask: 0.4862, decode.d8.loss_dice: 0.7329, loss: 16.3400 2022-05-02 00:00:29,020 - mmseg - INFO - Saving checkpoint at 60000 iterations 2022-05-02 00:00:46,454 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 00:00:46,456 - mmseg - INFO - Iter [60000/80000] lr: 3.590e-07, eta: 10:45:10, time: 2.259, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2551, decode.loss_mask: 0.4739, decode.loss_dice: 0.7218, decode.d0.loss_cls: 1.2823, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8142, decode.d1.loss_cls: 0.3508, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.3046, decode.d2.loss_mask: 0.4862, decode.d2.loss_dice: 0.7383, decode.d3.loss_cls: 0.2886, decode.d3.loss_mask: 0.4836, decode.d3.loss_dice: 0.7266, decode.d4.loss_cls: 0.2766, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7242, decode.d5.loss_cls: 0.2664, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.7255, decode.d6.loss_cls: 0.2605, decode.d6.loss_mask: 0.4769, decode.d6.loss_dice: 0.7233, decode.d7.loss_cls: 0.2534, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7227, decode.d8.loss_cls: 0.2520, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7175, loss: 16.0184 2022-05-02 00:02:21,267 - mmseg - INFO - Iter [60050/80000] lr: 3.581e-07, eta: 10:43:33, time: 1.896, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2512, decode.loss_mask: 0.4947, decode.loss_dice: 0.7299, decode.d0.loss_cls: 1.2690, decode.d0.loss_mask: 0.5410, decode.d0.loss_dice: 0.8308, decode.d1.loss_cls: 0.3376, decode.d1.loss_mask: 0.5166, decode.d1.loss_dice: 0.7852, decode.d2.loss_cls: 0.2915, decode.d2.loss_mask: 0.5051, decode.d2.loss_dice: 0.7581, decode.d3.loss_cls: 0.2689, decode.d3.loss_mask: 0.5003, decode.d3.loss_dice: 0.7475, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.4975, decode.d4.loss_dice: 0.7412, decode.d5.loss_cls: 0.2561, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2495, decode.d6.loss_mask: 0.4943, decode.d6.loss_dice: 0.7354, decode.d7.loss_cls: 0.2468, decode.d7.loss_mask: 0.4938, decode.d7.loss_dice: 0.7321, decode.d8.loss_cls: 0.2458, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7300, loss: 16.2411 2022-05-02 00:03:53,498 - mmseg - INFO - Iter [60100/80000] lr: 3.572e-07, eta: 10:41:55, time: 1.845, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2680, decode.loss_mask: 0.5054, decode.loss_dice: 0.7490, decode.d0.loss_cls: 1.2948, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8480, decode.d1.loss_cls: 0.3488, decode.d1.loss_mask: 0.5280, decode.d1.loss_dice: 0.7986, decode.d2.loss_cls: 0.3048, decode.d2.loss_mask: 0.5148, decode.d2.loss_dice: 0.7704, decode.d3.loss_cls: 0.2893, decode.d3.loss_mask: 0.5099, decode.d3.loss_dice: 0.7576, decode.d4.loss_cls: 0.2837, decode.d4.loss_mask: 0.5094, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2790, decode.d5.loss_mask: 0.5063, decode.d5.loss_dice: 0.7512, decode.d6.loss_cls: 0.2723, decode.d6.loss_mask: 0.5058, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.2712, decode.d7.loss_mask: 0.5039, decode.d7.loss_dice: 0.7465, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.5075, decode.d8.loss_dice: 0.7530, loss: 16.6953 2022-05-02 00:05:25,411 - mmseg - INFO - Iter [60150/80000] lr: 3.563e-07, eta: 10:40:16, time: 1.839, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2577, decode.loss_mask: 0.4889, decode.loss_dice: 0.7240, decode.d0.loss_cls: 1.2826, decode.d0.loss_mask: 0.5300, decode.d0.loss_dice: 0.8217, decode.d1.loss_cls: 0.3380, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7814, decode.d2.loss_cls: 0.2899, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7487, decode.d3.loss_cls: 0.2772, decode.d3.loss_mask: 0.4919, decode.d3.loss_dice: 0.7342, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.4904, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2627, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7315, decode.d6.loss_cls: 0.2596, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7268, decode.d7.loss_cls: 0.2555, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7260, decode.d8.loss_cls: 0.2547, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7282, loss: 16.1676 2022-05-02 00:06:57,805 - mmseg - INFO - Iter [60200/80000] lr: 3.554e-07, eta: 10:38:38, time: 1.848, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2341, decode.loss_mask: 0.5041, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.2623, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8078, decode.d1.loss_cls: 0.3215, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.2843, decode.d2.loss_mask: 0.5173, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2743, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7145, decode.d4.loss_cls: 0.2611, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7124, decode.d5.loss_cls: 0.2519, decode.d5.loss_mask: 0.5089, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.5065, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2404, decode.d7.loss_mask: 0.5036, decode.d7.loss_dice: 0.7058, decode.d8.loss_cls: 0.2399, decode.d8.loss_mask: 0.5018, decode.d8.loss_dice: 0.7031, loss: 16.0178 2022-05-02 00:08:29,215 - mmseg - INFO - Iter [60250/80000] lr: 3.545e-07, eta: 10:37:00, time: 1.826, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2391, decode.loss_mask: 0.5062, decode.loss_dice: 0.7240, decode.d0.loss_cls: 1.2160, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3191, decode.d1.loss_mask: 0.5314, decode.d1.loss_dice: 0.7783, decode.d2.loss_cls: 0.2810, decode.d2.loss_mask: 0.5179, decode.d2.loss_dice: 0.7515, decode.d3.loss_cls: 0.2603, decode.d3.loss_mask: 0.5126, decode.d3.loss_dice: 0.7396, decode.d4.loss_cls: 0.2485, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7362, decode.d5.loss_cls: 0.2467, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7361, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.5079, decode.d6.loss_dice: 0.7295, decode.d7.loss_cls: 0.2368, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7269, decode.d8.loss_cls: 0.2378, decode.d8.loss_mask: 0.5066, decode.d8.loss_dice: 0.7284, loss: 16.1615 2022-05-02 00:10:02,599 - mmseg - INFO - Iter [60300/80000] lr: 3.536e-07, eta: 10:35:22, time: 1.869, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2357, decode.loss_mask: 0.4842, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.2686, decode.d0.loss_mask: 0.5315, decode.d0.loss_dice: 0.8117, decode.d1.loss_cls: 0.3240, decode.d1.loss_mask: 0.5041, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2782, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7449, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7312, decode.d4.loss_cls: 0.2508, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7267, decode.d5.loss_cls: 0.2464, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2406, decode.d6.loss_mask: 0.4880, decode.d6.loss_dice: 0.7208, decode.d7.loss_cls: 0.2414, decode.d7.loss_mask: 0.4867, decode.d7.loss_dice: 0.7179, decode.d8.loss_cls: 0.2380, decode.d8.loss_mask: 0.4849, decode.d8.loss_dice: 0.7174, loss: 15.9059 2022-05-02 00:11:36,530 - mmseg - INFO - Iter [60350/80000] lr: 3.527e-07, eta: 10:33:44, time: 1.877, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2285, decode.loss_mask: 0.4871, decode.loss_dice: 0.7074, decode.d0.loss_cls: 1.2507, decode.d0.loss_mask: 0.5301, decode.d0.loss_dice: 0.7996, decode.d1.loss_cls: 0.3252, decode.d1.loss_mask: 0.5103, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2587, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7231, decode.d4.loss_cls: 0.2485, decode.d4.loss_mask: 0.4915, decode.d4.loss_dice: 0.7207, decode.d5.loss_cls: 0.2400, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.4886, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2333, decode.d7.loss_mask: 0.4873, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2286, decode.d8.loss_mask: 0.4891, decode.d8.loss_dice: 0.7099, loss: 15.7805 2022-05-02 00:13:09,335 - mmseg - INFO - Iter [60400/80000] lr: 3.518e-07, eta: 10:32:06, time: 1.857, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2578, decode.loss_mask: 0.4934, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.2958, decode.d0.loss_mask: 0.5494, decode.d0.loss_dice: 0.8343, decode.d1.loss_cls: 0.3609, decode.d1.loss_mask: 0.5205, decode.d1.loss_dice: 0.7858, decode.d2.loss_cls: 0.3130, decode.d2.loss_mask: 0.5051, decode.d2.loss_dice: 0.7605, decode.d3.loss_cls: 0.2901, decode.d3.loss_mask: 0.4992, decode.d3.loss_dice: 0.7465, decode.d4.loss_cls: 0.2816, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7407, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.4971, decode.d5.loss_dice: 0.7382, decode.d6.loss_cls: 0.2740, decode.d6.loss_mask: 0.4956, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2671, decode.d7.loss_mask: 0.4941, decode.d7.loss_dice: 0.7327, decode.d8.loss_cls: 0.2641, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7343, loss: 16.4679 2022-05-02 00:14:42,715 - mmseg - INFO - Iter [60450/80000] lr: 3.509e-07, eta: 10:30:28, time: 1.867, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2497, decode.loss_mask: 0.4969, decode.loss_dice: 0.7203, decode.d0.loss_cls: 1.3040, decode.d0.loss_mask: 0.5462, decode.d0.loss_dice: 0.8243, decode.d1.loss_cls: 0.3406, decode.d1.loss_mask: 0.5248, decode.d1.loss_dice: 0.7821, decode.d2.loss_cls: 0.2917, decode.d2.loss_mask: 0.5102, decode.d2.loss_dice: 0.7497, decode.d3.loss_cls: 0.2774, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7323, decode.d4.loss_cls: 0.2719, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7341, decode.d5.loss_cls: 0.2611, decode.d5.loss_mask: 0.4985, decode.d5.loss_dice: 0.7268, decode.d6.loss_cls: 0.2555, decode.d6.loss_mask: 0.4966, decode.d6.loss_dice: 0.7203, decode.d7.loss_cls: 0.2554, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7180, decode.d8.loss_cls: 0.2548, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7207, loss: 16.2624 2022-05-02 00:16:16,501 - mmseg - INFO - Iter [60500/80000] lr: 3.500e-07, eta: 10:28:50, time: 1.877, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2488, decode.loss_mask: 0.4800, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.2961, decode.d0.loss_mask: 0.5311, decode.d0.loss_dice: 0.8249, decode.d1.loss_cls: 0.3550, decode.d1.loss_mask: 0.5067, decode.d1.loss_dice: 0.7755, decode.d2.loss_cls: 0.3039, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7446, decode.d3.loss_cls: 0.2836, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7193, decode.d4.loss_cls: 0.2730, decode.d4.loss_mask: 0.4866, decode.d4.loss_dice: 0.7187, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2570, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2532, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2544, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7131, loss: 16.0682 2022-05-02 00:17:49,030 - mmseg - INFO - Iter [60550/80000] lr: 3.491e-07, eta: 10:27:12, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2488, decode.loss_mask: 0.4702, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.2470, decode.d0.loss_mask: 0.5136, decode.d0.loss_dice: 0.8108, decode.d1.loss_cls: 0.3392, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7630, decode.d2.loss_cls: 0.2924, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.4762, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2697, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.7188, decode.d5.loss_cls: 0.2617, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7151, decode.d6.loss_cls: 0.2551, decode.d6.loss_mask: 0.4718, decode.d6.loss_dice: 0.7081, decode.d7.loss_cls: 0.2512, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7075, decode.d8.loss_cls: 0.2522, decode.d8.loss_mask: 0.4697, decode.d8.loss_dice: 0.7112, loss: 15.7949 2022-05-02 00:19:20,092 - mmseg - INFO - Iter [60600/80000] lr: 3.482e-07, eta: 10:25:34, time: 1.821, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2402, decode.loss_mask: 0.4797, decode.loss_dice: 0.6945, decode.d0.loss_cls: 1.2775, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8004, decode.d1.loss_cls: 0.3330, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2929, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2602, decode.d4.loss_mask: 0.4823, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2569, decode.d5.loss_mask: 0.4829, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2428, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2400, decode.d8.loss_mask: 0.4790, decode.d8.loss_dice: 0.6978, loss: 15.7183 2022-05-02 00:20:52,681 - mmseg - INFO - Iter [60650/80000] lr: 3.473e-07, eta: 10:23:56, time: 1.853, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2456, decode.loss_mask: 0.5113, decode.loss_dice: 0.7387, decode.d0.loss_cls: 1.2849, decode.d0.loss_mask: 0.5649, decode.d0.loss_dice: 0.8345, decode.d1.loss_cls: 0.3300, decode.d1.loss_mask: 0.5331, decode.d1.loss_dice: 0.7827, decode.d2.loss_cls: 0.2947, decode.d2.loss_mask: 0.5235, decode.d2.loss_dice: 0.7512, decode.d3.loss_cls: 0.2751, decode.d3.loss_mask: 0.5180, decode.d3.loss_dice: 0.7454, decode.d4.loss_cls: 0.2607, decode.d4.loss_mask: 0.5149, decode.d4.loss_dice: 0.7432, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.5155, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2542, decode.d6.loss_mask: 0.5111, decode.d6.loss_dice: 0.7342, decode.d7.loss_cls: 0.2497, decode.d7.loss_mask: 0.5110, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2460, decode.d8.loss_mask: 0.5100, decode.d8.loss_dice: 0.7374, loss: 16.4592 2022-05-02 00:22:27,634 - mmseg - INFO - Iter [60700/80000] lr: 3.464e-07, eta: 10:22:18, time: 1.900, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2216, decode.loss_mask: 0.4778, decode.loss_dice: 0.6978, decode.d0.loss_cls: 1.2436, decode.d0.loss_mask: 0.5157, decode.d0.loss_dice: 0.7870, decode.d1.loss_cls: 0.2995, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2623, decode.d2.loss_mask: 0.4842, decode.d2.loss_dice: 0.7176, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4803, decode.d3.loss_dice: 0.7060, decode.d4.loss_cls: 0.2316, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.2320, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7018, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4788, decode.d7.loss_dice: 0.6977, decode.d8.loss_cls: 0.2231, decode.d8.loss_mask: 0.4766, decode.d8.loss_dice: 0.6979, loss: 15.4188 2022-05-02 00:24:00,412 - mmseg - INFO - Iter [60750/80000] lr: 3.455e-07, eta: 10:20:40, time: 1.855, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2359, decode.loss_mask: 0.4822, decode.loss_dice: 0.6825, decode.d0.loss_cls: 1.2840, decode.d0.loss_mask: 0.5269, decode.d0.loss_dice: 0.7777, decode.d1.loss_cls: 0.3289, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7328, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.4898, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2641, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.6939, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4856, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4850, decode.d5.loss_dice: 0.6916, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4839, decode.d7.loss_dice: 0.6822, decode.d8.loss_cls: 0.2343, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.6871, loss: 15.5489 2022-05-02 00:25:33,693 - mmseg - INFO - Iter [60800/80000] lr: 3.446e-07, eta: 10:19:03, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2215, decode.loss_mask: 0.4735, decode.loss_dice: 0.6987, decode.d0.loss_cls: 1.2455, decode.d0.loss_mask: 0.5141, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.3067, decode.d1.loss_mask: 0.4988, decode.d1.loss_dice: 0.7487, decode.d2.loss_cls: 0.2577, decode.d2.loss_mask: 0.4882, decode.d2.loss_dice: 0.7258, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4816, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2358, decode.d4.loss_mask: 0.4798, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2300, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.7077, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.6992, decode.d7.loss_cls: 0.2254, decode.d7.loss_mask: 0.4740, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2249, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.6945, loss: 15.4401 2022-05-02 00:27:06,516 - mmseg - INFO - Iter [60850/80000] lr: 3.437e-07, eta: 10:17:25, time: 1.856, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2592, decode.loss_mask: 0.4937, decode.loss_dice: 0.7298, decode.d0.loss_cls: 1.3119, decode.d0.loss_mask: 0.5373, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3681, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.7825, decode.d2.loss_cls: 0.3139, decode.d2.loss_mask: 0.5040, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2897, decode.d3.loss_mask: 0.4973, decode.d3.loss_dice: 0.7417, decode.d4.loss_cls: 0.2818, decode.d4.loss_mask: 0.4976, decode.d4.loss_dice: 0.7368, decode.d5.loss_cls: 0.2723, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7377, decode.d6.loss_cls: 0.2643, decode.d6.loss_mask: 0.4938, decode.d6.loss_dice: 0.7317, decode.d7.loss_cls: 0.2600, decode.d7.loss_mask: 0.4951, decode.d7.loss_dice: 0.7281, decode.d8.loss_cls: 0.2599, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7279, loss: 16.3979 2022-05-02 00:28:38,921 - mmseg - INFO - Iter [60900/80000] lr: 3.428e-07, eta: 10:15:47, time: 1.848, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2297, decode.loss_mask: 0.4947, decode.loss_dice: 0.7128, decode.d0.loss_cls: 1.2878, decode.d0.loss_mask: 0.5456, decode.d0.loss_dice: 0.8130, decode.d1.loss_cls: 0.3174, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.7624, decode.d2.loss_cls: 0.2783, decode.d2.loss_mask: 0.5060, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4982, decode.d3.loss_dice: 0.7198, decode.d4.loss_cls: 0.2483, decode.d4.loss_mask: 0.4995, decode.d4.loss_dice: 0.7201, decode.d5.loss_cls: 0.2430, decode.d5.loss_mask: 0.4996, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2395, decode.d6.loss_mask: 0.4967, decode.d6.loss_dice: 0.7135, decode.d7.loss_cls: 0.2354, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.7152, decode.d8.loss_cls: 0.2343, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7146, loss: 15.9561 2022-05-02 00:30:12,568 - mmseg - INFO - Iter [60950/80000] lr: 3.419e-07, eta: 10:14:09, time: 1.874, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.5107, decode.loss_dice: 0.7317, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5636, decode.d0.loss_dice: 0.8351, decode.d1.loss_cls: 0.3290, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.7834, decode.d2.loss_cls: 0.2883, decode.d2.loss_mask: 0.5204, decode.d2.loss_dice: 0.7549, decode.d3.loss_cls: 0.2672, decode.d3.loss_mask: 0.5159, decode.d3.loss_dice: 0.7390, decode.d4.loss_cls: 0.2560, decode.d4.loss_mask: 0.5144, decode.d4.loss_dice: 0.7401, decode.d5.loss_cls: 0.2509, decode.d5.loss_mask: 0.5143, decode.d5.loss_dice: 0.7400, decode.d6.loss_cls: 0.2435, decode.d6.loss_mask: 0.5125, decode.d6.loss_dice: 0.7342, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.5143, decode.d7.loss_dice: 0.7353, decode.d8.loss_cls: 0.2431, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7329, loss: 16.3674 2022-05-02 00:31:45,090 - mmseg - INFO - Saving checkpoint at 61000 iterations 2022-05-02 00:32:02,867 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 00:32:02,916 - mmseg - INFO - Iter [61000/80000] lr: 3.410e-07, eta: 10:12:36, time: 2.203, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2591, decode.loss_mask: 0.4742, decode.loss_dice: 0.7139, decode.d0.loss_cls: 1.2829, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.8105, decode.d1.loss_cls: 0.3434, decode.d1.loss_mask: 0.4949, decode.d1.loss_dice: 0.7576, decode.d2.loss_cls: 0.3013, decode.d2.loss_mask: 0.4826, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2846, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7221, decode.d4.loss_cls: 0.2700, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7198, decode.d5.loss_cls: 0.2650, decode.d5.loss_mask: 0.4755, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.7163, decode.d7.loss_cls: 0.2617, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.7137, decode.d8.loss_cls: 0.2585, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7159, loss: 15.9359 2022-05-02 00:33:36,973 - mmseg - INFO - Iter [61050/80000] lr: 3.401e-07, eta: 10:10:59, time: 1.884, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.4838, decode.loss_dice: 0.7232, decode.d0.loss_cls: 1.2776, decode.d0.loss_mask: 0.5317, decode.d0.loss_dice: 0.8287, decode.d1.loss_cls: 0.3437, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7729, decode.d2.loss_cls: 0.2894, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2735, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7321, decode.d4.loss_cls: 0.2623, decode.d4.loss_mask: 0.4847, decode.d4.loss_dice: 0.7312, decode.d5.loss_cls: 0.2557, decode.d5.loss_mask: 0.4837, decode.d5.loss_dice: 0.7284, decode.d6.loss_cls: 0.2512, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2433, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2404, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7237, loss: 16.0205 2022-05-02 00:35:09,555 - mmseg - INFO - Iter [61100/80000] lr: 3.392e-07, eta: 10:09:21, time: 1.851, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2246, decode.loss_mask: 0.4723, decode.loss_dice: 0.6940, decode.d0.loss_cls: 1.2571, decode.d0.loss_mask: 0.5142, decode.d0.loss_dice: 0.7877, decode.d1.loss_cls: 0.3156, decode.d1.loss_mask: 0.4910, decode.d1.loss_dice: 0.7444, decode.d2.loss_cls: 0.2809, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2515, decode.d3.loss_mask: 0.4775, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2446, decode.d4.loss_mask: 0.4753, decode.d4.loss_dice: 0.7012, decode.d5.loss_cls: 0.2417, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.7014, decode.d6.loss_cls: 0.2328, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.6957, decode.d7.loss_cls: 0.2306, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.6931, loss: 15.4328 2022-05-02 00:36:41,276 - mmseg - INFO - Iter [61150/80000] lr: 3.383e-07, eta: 10:07:43, time: 1.836, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2348, decode.loss_mask: 0.4910, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.2662, decode.d0.loss_mask: 0.5340, decode.d0.loss_dice: 0.8174, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.2854, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7493, decode.d3.loss_cls: 0.2604, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4921, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2433, decode.d5.loss_mask: 0.4927, decode.d5.loss_dice: 0.7290, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7323, decode.d7.loss_cls: 0.2329, decode.d7.loss_mask: 0.4919, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2355, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7268, loss: 16.0041 2022-05-02 00:38:13,824 - mmseg - INFO - Iter [61200/80000] lr: 3.374e-07, eta: 10:06:05, time: 1.850, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2435, decode.loss_mask: 0.4617, decode.loss_dice: 0.6991, decode.d0.loss_cls: 1.2644, decode.d0.loss_mask: 0.5035, decode.d0.loss_dice: 0.7987, decode.d1.loss_cls: 0.3382, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2945, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7201, decode.d3.loss_cls: 0.2756, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.7064, decode.d4.loss_cls: 0.2642, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.7011, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4650, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4612, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2470, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6997, loss: 15.5439 2022-05-02 00:39:47,130 - mmseg - INFO - Iter [61250/80000] lr: 3.365e-07, eta: 10:04:27, time: 1.866, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2430, decode.loss_mask: 0.4691, decode.loss_dice: 0.7171, decode.d0.loss_cls: 1.2960, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.8213, decode.d1.loss_cls: 0.3322, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7680, decode.d2.loss_cls: 0.2914, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2682, decode.d3.loss_mask: 0.4732, decode.d3.loss_dice: 0.7254, decode.d4.loss_cls: 0.2611, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2522, decode.d5.loss_mask: 0.4711, decode.d5.loss_dice: 0.7228, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2429, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7169, decode.d8.loss_cls: 0.2419, decode.d8.loss_mask: 0.4688, decode.d8.loss_dice: 0.7165, loss: 15.8222 2022-05-02 00:41:18,964 - mmseg - INFO - Iter [61300/80000] lr: 3.356e-07, eta: 10:02:49, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2421, decode.loss_mask: 0.4681, decode.loss_dice: 0.7056, decode.d0.loss_cls: 1.2883, decode.d0.loss_mask: 0.5093, decode.d0.loss_dice: 0.8015, decode.d1.loss_cls: 0.3290, decode.d1.loss_mask: 0.4962, decode.d1.loss_dice: 0.7641, decode.d2.loss_cls: 0.2890, decode.d2.loss_mask: 0.4809, decode.d2.loss_dice: 0.7364, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.7218, decode.d4.loss_cls: 0.2653, decode.d4.loss_mask: 0.4723, decode.d4.loss_dice: 0.7174, decode.d5.loss_cls: 0.2589, decode.d5.loss_mask: 0.4706, decode.d5.loss_dice: 0.7147, decode.d6.loss_cls: 0.2471, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7099, decode.d7.loss_cls: 0.2439, decode.d7.loss_mask: 0.4694, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4683, decode.d8.loss_dice: 0.7059, loss: 15.7472 2022-05-02 00:42:49,720 - mmseg - INFO - Iter [61350/80000] lr: 3.347e-07, eta: 10:01:10, time: 1.814, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2420, decode.loss_mask: 0.4885, decode.loss_dice: 0.7330, decode.d0.loss_cls: 1.2792, decode.d0.loss_mask: 0.5331, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3477, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7880, decode.d2.loss_cls: 0.2899, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7541, decode.d3.loss_cls: 0.2717, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2468, decode.d5.loss_mask: 0.4932, decode.d5.loss_dice: 0.7482, decode.d6.loss_cls: 0.2470, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2423, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7377, decode.d8.loss_cls: 0.2425, decode.d8.loss_mask: 0.4879, decode.d8.loss_dice: 0.7355, loss: 16.1972 2022-05-02 00:44:23,254 - mmseg - INFO - Iter [61400/80000] lr: 3.338e-07, eta: 9:59:32, time: 1.871, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2496, decode.loss_mask: 0.4664, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.2912, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.8248, decode.d1.loss_cls: 0.3491, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7697, decode.d2.loss_cls: 0.3021, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.7435, decode.d3.loss_cls: 0.2740, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7314, decode.d4.loss_cls: 0.2654, decode.d4.loss_mask: 0.4713, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2576, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2602, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.7217, decode.d7.loss_cls: 0.2524, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.7200, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.4673, decode.d8.loss_dice: 0.7215, loss: 15.9335 2022-05-02 00:45:54,927 - mmseg - INFO - Iter [61450/80000] lr: 3.329e-07, eta: 9:57:54, time: 1.832, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2351, decode.loss_mask: 0.4924, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.2262, decode.d0.loss_mask: 0.5423, decode.d0.loss_dice: 0.8150, decode.d1.loss_cls: 0.3299, decode.d1.loss_mask: 0.5159, decode.d1.loss_dice: 0.7631, decode.d2.loss_cls: 0.2796, decode.d2.loss_mask: 0.5050, decode.d2.loss_dice: 0.7368, decode.d3.loss_cls: 0.2632, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7232, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4980, decode.d4.loss_dice: 0.7213, decode.d5.loss_cls: 0.2470, decode.d5.loss_mask: 0.4973, decode.d5.loss_dice: 0.7196, decode.d6.loss_cls: 0.2392, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7179, decode.d7.loss_cls: 0.2365, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7164, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4932, decode.d8.loss_dice: 0.7156, loss: 15.9282 2022-05-02 00:47:28,162 - mmseg - INFO - Iter [61500/80000] lr: 3.320e-07, eta: 9:56:17, time: 1.866, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2351, decode.loss_mask: 0.4890, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2747, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8172, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5094, decode.d1.loss_dice: 0.7779, decode.d2.loss_cls: 0.2891, decode.d2.loss_mask: 0.4975, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2630, decode.d3.loss_mask: 0.4980, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2529, decode.d4.loss_mask: 0.4937, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2501, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7323, decode.d6.loss_cls: 0.2469, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7252, decode.d7.loss_cls: 0.2357, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7236, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4893, decode.d8.loss_dice: 0.7271, loss: 16.0516 2022-05-02 00:49:00,472 - mmseg - INFO - Iter [61550/80000] lr: 3.311e-07, eta: 9:54:38, time: 1.845, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2317, decode.loss_mask: 0.5043, decode.loss_dice: 0.7232, decode.d0.loss_cls: 1.2279, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8241, decode.d1.loss_cls: 0.3189, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7496, decode.d3.loss_cls: 0.2573, decode.d3.loss_mask: 0.5125, decode.d3.loss_dice: 0.7379, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.5093, decode.d4.loss_dice: 0.7320, decode.d5.loss_cls: 0.2457, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7324, decode.d6.loss_cls: 0.2438, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7220, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.5045, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2314, decode.d8.loss_mask: 0.5050, decode.d8.loss_dice: 0.7273, loss: 16.1176 2022-05-02 00:50:32,717 - mmseg - INFO - Iter [61600/80000] lr: 3.303e-07, eta: 9:53:00, time: 1.846, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2401, decode.loss_mask: 0.4711, decode.loss_dice: 0.7303, decode.d0.loss_cls: 1.3006, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8364, decode.d1.loss_cls: 0.3406, decode.d1.loss_mask: 0.4991, decode.d1.loss_dice: 0.7827, decode.d2.loss_cls: 0.2901, decode.d2.loss_mask: 0.4838, decode.d2.loss_dice: 0.7578, decode.d3.loss_cls: 0.2711, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2562, decode.d4.loss_mask: 0.4761, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4751, decode.d5.loss_dice: 0.7375, decode.d6.loss_cls: 0.2468, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.7301, decode.d7.loss_cls: 0.2455, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.7308, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.7326, loss: 16.0254 2022-05-02 00:52:05,484 - mmseg - INFO - Iter [61650/80000] lr: 3.294e-07, eta: 9:51:23, time: 1.855, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2451, decode.loss_mask: 0.5006, decode.loss_dice: 0.7432, decode.d0.loss_cls: 1.2661, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8249, decode.d1.loss_cls: 0.3276, decode.d1.loss_mask: 0.5223, decode.d1.loss_dice: 0.7918, decode.d2.loss_cls: 0.2857, decode.d2.loss_mask: 0.5104, decode.d2.loss_dice: 0.7636, decode.d3.loss_cls: 0.2722, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.7475, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2493, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.7494, decode.d6.loss_cls: 0.2435, decode.d6.loss_mask: 0.5024, decode.d6.loss_dice: 0.7385, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.5006, decode.d7.loss_dice: 0.7419, decode.d8.loss_cls: 0.2410, decode.d8.loss_mask: 0.5024, decode.d8.loss_dice: 0.7430, loss: 16.3145 2022-05-02 00:53:38,900 - mmseg - INFO - Iter [61700/80000] lr: 3.285e-07, eta: 9:49:45, time: 1.869, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2575, decode.loss_mask: 0.5045, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.2996, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8401, decode.d1.loss_cls: 0.3408, decode.d1.loss_mask: 0.5355, decode.d1.loss_dice: 0.7929, decode.d2.loss_cls: 0.2976, decode.d2.loss_mask: 0.5190, decode.d2.loss_dice: 0.7583, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.5117, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2731, decode.d4.loss_mask: 0.5108, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2662, decode.d5.loss_mask: 0.5098, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2575, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7339, decode.d7.loss_cls: 0.2564, decode.d7.loss_mask: 0.5068, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2615, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7346, loss: 16.5059 2022-05-02 00:55:11,912 - mmseg - INFO - Iter [61750/80000] lr: 3.276e-07, eta: 9:48:07, time: 1.860, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2261, decode.loss_mask: 0.4789, decode.loss_dice: 0.7036, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.5254, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.3206, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7579, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7218, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7143, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.4828, decode.d4.loss_dice: 0.7143, decode.d5.loss_cls: 0.2438, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7106, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4805, decode.d6.loss_dice: 0.7077, decode.d7.loss_cls: 0.2220, decode.d7.loss_mask: 0.4803, decode.d7.loss_dice: 0.7130, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7056, loss: 15.6745 2022-05-02 00:56:43,127 - mmseg - INFO - Iter [61800/80000] lr: 3.267e-07, eta: 9:46:29, time: 1.824, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2485, decode.loss_mask: 0.4787, decode.loss_dice: 0.7269, decode.d0.loss_cls: 1.2910, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8289, decode.d1.loss_cls: 0.3308, decode.d1.loss_mask: 0.5038, decode.d1.loss_dice: 0.7890, decode.d2.loss_cls: 0.2872, decode.d2.loss_mask: 0.4897, decode.d2.loss_dice: 0.7521, decode.d3.loss_cls: 0.2713, decode.d3.loss_mask: 0.4856, decode.d3.loss_dice: 0.7452, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.4851, decode.d4.loss_dice: 0.7438, decode.d5.loss_cls: 0.2553, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7367, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2484, decode.d7.loss_mask: 0.4796, decode.d7.loss_dice: 0.7296, decode.d8.loss_cls: 0.2472, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.7324, loss: 16.1009 2022-05-02 00:58:15,135 - mmseg - INFO - Iter [61850/80000] lr: 3.258e-07, eta: 9:44:51, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2351, decode.loss_mask: 0.4977, decode.loss_dice: 0.7277, decode.d0.loss_cls: 1.2449, decode.d0.loss_mask: 0.5480, decode.d0.loss_dice: 0.8351, decode.d1.loss_cls: 0.3243, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.7786, decode.d2.loss_cls: 0.2799, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7520, decode.d3.loss_cls: 0.2570, decode.d3.loss_mask: 0.5066, decode.d3.loss_dice: 0.7445, decode.d4.loss_cls: 0.2492, decode.d4.loss_mask: 0.5016, decode.d4.loss_dice: 0.7430, decode.d5.loss_cls: 0.2455, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7368, decode.d6.loss_cls: 0.2394, decode.d6.loss_mask: 0.4989, decode.d6.loss_dice: 0.7343, decode.d7.loss_cls: 0.2335, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2347, decode.d8.loss_mask: 0.4987, decode.d8.loss_dice: 0.7319, loss: 16.1451 2022-05-02 00:59:48,227 - mmseg - INFO - Iter [61900/80000] lr: 3.249e-07, eta: 9:43:13, time: 1.861, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2482, decode.loss_mask: 0.5010, decode.loss_dice: 0.7307, decode.d0.loss_cls: 1.2812, decode.d0.loss_mask: 0.5459, decode.d0.loss_dice: 0.8318, decode.d1.loss_cls: 0.3348, decode.d1.loss_mask: 0.5266, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.2943, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2758, decode.d3.loss_mask: 0.5068, decode.d3.loss_dice: 0.7378, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2611, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7336, decode.d6.loss_cls: 0.2499, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2516, decode.d7.loss_mask: 0.5026, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2531, decode.d8.loss_mask: 0.5020, decode.d8.loss_dice: 0.7280, loss: 16.3388 2022-05-02 01:01:22,468 - mmseg - INFO - Iter [61950/80000] lr: 3.240e-07, eta: 9:41:36, time: 1.886, data_time: 0.065, memory: 64716, decode.loss_cls: 0.2597, decode.loss_mask: 0.4866, decode.loss_dice: 0.7442, decode.d0.loss_cls: 1.3061, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8583, decode.d1.loss_cls: 0.3508, decode.d1.loss_mask: 0.5106, decode.d1.loss_dice: 0.8032, decode.d2.loss_cls: 0.3070, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7752, decode.d3.loss_cls: 0.2848, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7566, decode.d4.loss_cls: 0.2774, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7580, decode.d5.loss_cls: 0.2729, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7595, decode.d6.loss_cls: 0.2656, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7453, decode.d7.loss_cls: 0.2614, decode.d7.loss_mask: 0.4868, decode.d7.loss_dice: 0.7431, decode.d8.loss_cls: 0.2623, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7451, loss: 16.5124 2022-05-02 01:02:55,829 - mmseg - INFO - Saving checkpoint at 62000 iterations 2022-05-02 01:03:13,719 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 01:03:13,720 - mmseg - INFO - Iter [62000/80000] lr: 3.231e-07, eta: 9:40:03, time: 2.223, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2421, decode.loss_mask: 0.4978, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2659, decode.d0.loss_mask: 0.5441, decode.d0.loss_dice: 0.8142, decode.d1.loss_cls: 0.3282, decode.d1.loss_mask: 0.5165, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2892, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7405, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.5021, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2530, decode.d5.loss_mask: 0.4989, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2449, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7178, decode.d8.loss_cls: 0.2447, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7122, loss: 16.0281 2022-05-02 01:04:46,503 - mmseg - INFO - Iter [62050/80000] lr: 3.222e-07, eta: 9:38:26, time: 1.856, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2401, decode.loss_mask: 0.4807, decode.loss_dice: 0.7145, decode.d0.loss_cls: 1.2692, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8236, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.7802, decode.d2.loss_cls: 0.2829, decode.d2.loss_mask: 0.4914, decode.d2.loss_dice: 0.7415, decode.d3.loss_cls: 0.2666, decode.d3.loss_mask: 0.4878, decode.d3.loss_dice: 0.7295, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7304, decode.d5.loss_cls: 0.2473, decode.d5.loss_mask: 0.4850, decode.d5.loss_dice: 0.7284, decode.d6.loss_cls: 0.2431, decode.d6.loss_mask: 0.4826, decode.d6.loss_dice: 0.7236, decode.d7.loss_cls: 0.2391, decode.d7.loss_mask: 0.4815, decode.d7.loss_dice: 0.7228, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7187, loss: 15.9242 2022-05-02 01:06:17,913 - mmseg - INFO - Iter [62100/80000] lr: 3.213e-07, eta: 9:36:47, time: 1.831, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2335, decode.loss_mask: 0.4882, decode.loss_dice: 0.7199, decode.d0.loss_cls: 1.2862, decode.d0.loss_mask: 0.5317, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3198, decode.d1.loss_mask: 0.5100, decode.d1.loss_dice: 0.7755, decode.d2.loss_cls: 0.2825, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7487, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7329, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4956, decode.d4.loss_dice: 0.7316, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7307, decode.d6.loss_cls: 0.2428, decode.d6.loss_mask: 0.4880, decode.d6.loss_dice: 0.7252, decode.d7.loss_cls: 0.2352, decode.d7.loss_mask: 0.4869, decode.d7.loss_dice: 0.7238, decode.d8.loss_cls: 0.2333, decode.d8.loss_mask: 0.4873, decode.d8.loss_dice: 0.7215, loss: 15.9832 2022-05-02 01:07:51,212 - mmseg - INFO - Iter [62150/80000] lr: 3.204e-07, eta: 9:35:10, time: 1.865, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2420, decode.loss_mask: 0.4619, decode.loss_dice: 0.7065, decode.d0.loss_cls: 1.2815, decode.d0.loss_mask: 0.5030, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3347, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7584, decode.d2.loss_cls: 0.2815, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7299, decode.d3.loss_cls: 0.2587, decode.d3.loss_mask: 0.4715, decode.d3.loss_dice: 0.7180, decode.d4.loss_cls: 0.2451, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.7185, decode.d5.loss_cls: 0.2433, decode.d5.loss_mask: 0.4677, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2391, decode.d6.loss_mask: 0.4651, decode.d6.loss_dice: 0.7077, decode.d7.loss_cls: 0.2350, decode.d7.loss_mask: 0.4631, decode.d7.loss_dice: 0.7112, decode.d8.loss_cls: 0.2378, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.7101, loss: 15.6066 2022-05-02 01:09:22,746 - mmseg - INFO - Iter [62200/80000] lr: 3.195e-07, eta: 9:33:32, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2223, decode.loss_mask: 0.4774, decode.loss_dice: 0.6915, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.5015, decode.d1.loss_dice: 0.7483, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7215, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7028, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4835, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.2228, decode.d6.loss_mask: 0.4790, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2196, decode.d7.loss_mask: 0.4781, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4787, decode.d8.loss_dice: 0.6952, loss: 15.4600 2022-05-02 01:10:54,472 - mmseg - INFO - Iter [62250/80000] lr: 3.186e-07, eta: 9:31:53, time: 1.835, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2518, decode.loss_mask: 0.4863, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.2874, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.8278, decode.d1.loss_cls: 0.3410, decode.d1.loss_mask: 0.5081, decode.d1.loss_dice: 0.7786, decode.d2.loss_cls: 0.3015, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.2804, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.2708, decode.d4.loss_mask: 0.4887, decode.d4.loss_dice: 0.7330, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.4876, decode.d6.loss_dice: 0.7242, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.4868, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.4863, decode.d8.loss_dice: 0.7265, loss: 16.1694 2022-05-02 01:12:26,577 - mmseg - INFO - Iter [62300/80000] lr: 3.177e-07, eta: 9:30:16, time: 1.843, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2493, decode.loss_mask: 0.4928, decode.loss_dice: 0.7270, decode.d0.loss_cls: 1.2964, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.8228, decode.d1.loss_cls: 0.3336, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.7874, decode.d2.loss_cls: 0.3037, decode.d2.loss_mask: 0.5090, decode.d2.loss_dice: 0.7584, decode.d3.loss_cls: 0.2854, decode.d3.loss_mask: 0.5003, decode.d3.loss_dice: 0.7429, decode.d4.loss_cls: 0.2719, decode.d4.loss_mask: 0.4975, decode.d4.loss_dice: 0.7382, decode.d5.loss_cls: 0.2631, decode.d5.loss_mask: 0.4970, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2618, decode.d6.loss_mask: 0.4950, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2585, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7266, decode.d8.loss_cls: 0.2506, decode.d8.loss_mask: 0.4939, decode.d8.loss_dice: 0.7306, loss: 16.3086 2022-05-02 01:13:58,742 - mmseg - INFO - Iter [62350/80000] lr: 3.168e-07, eta: 9:28:38, time: 1.842, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2247, decode.loss_mask: 0.4835, decode.loss_dice: 0.7090, decode.d0.loss_cls: 1.2296, decode.d0.loss_mask: 0.5270, decode.d0.loss_dice: 0.8147, decode.d1.loss_cls: 0.3060, decode.d1.loss_mask: 0.5062, decode.d1.loss_dice: 0.7673, decode.d2.loss_cls: 0.2730, decode.d2.loss_mask: 0.4937, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2556, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2424, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7223, decode.d5.loss_cls: 0.2361, decode.d5.loss_mask: 0.4849, decode.d5.loss_dice: 0.7184, decode.d6.loss_cls: 0.2273, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7139, decode.d7.loss_cls: 0.2301, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2243, decode.d8.loss_mask: 0.4829, decode.d8.loss_dice: 0.7120, loss: 15.6878 2022-05-02 01:15:31,394 - mmseg - INFO - Iter [62400/80000] lr: 3.159e-07, eta: 9:27:00, time: 1.852, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2469, decode.loss_mask: 0.4765, decode.loss_dice: 0.7256, decode.d0.loss_cls: 1.3091, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8332, decode.d1.loss_cls: 0.3460, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7783, decode.d2.loss_cls: 0.2989, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2694, decode.d3.loss_mask: 0.4847, decode.d3.loss_dice: 0.7363, decode.d4.loss_cls: 0.2620, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4819, decode.d5.loss_dice: 0.7308, decode.d6.loss_cls: 0.2507, decode.d6.loss_mask: 0.4793, decode.d6.loss_dice: 0.7272, decode.d7.loss_cls: 0.2481, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7218, decode.d8.loss_cls: 0.2446, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7247, loss: 16.0732 2022-05-02 01:17:03,414 - mmseg - INFO - Iter [62450/80000] lr: 3.150e-07, eta: 9:25:22, time: 1.841, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2369, decode.loss_mask: 0.4582, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.2858, decode.d0.loss_mask: 0.4991, decode.d0.loss_dice: 0.7890, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2867, decode.d2.loss_mask: 0.4682, decode.d2.loss_dice: 0.7193, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.7090, decode.d4.loss_cls: 0.2575, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.7053, decode.d5.loss_cls: 0.2487, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.7060, decode.d6.loss_cls: 0.2408, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6965, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.2394, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.6931, loss: 15.4494 2022-05-02 01:18:35,720 - mmseg - INFO - Iter [62500/80000] lr: 3.141e-07, eta: 9:23:44, time: 1.847, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2335, decode.loss_mask: 0.4771, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.2585, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8009, decode.d1.loss_cls: 0.3149, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7624, decode.d2.loss_cls: 0.2781, decode.d2.loss_mask: 0.4885, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2520, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7206, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7220, decode.d5.loss_cls: 0.2361, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.7135, decode.d6.loss_cls: 0.2327, decode.d6.loss_mask: 0.4776, decode.d6.loss_dice: 0.7114, decode.d7.loss_cls: 0.2290, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.7091, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.4775, decode.d8.loss_dice: 0.7117, loss: 15.6588 2022-05-02 01:20:08,157 - mmseg - INFO - Iter [62550/80000] lr: 3.132e-07, eta: 9:22:06, time: 1.848, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2366, decode.loss_mask: 0.4907, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.2143, decode.d0.loss_mask: 0.5338, decode.d0.loss_dice: 0.8170, decode.d1.loss_cls: 0.3179, decode.d1.loss_mask: 0.5121, decode.d1.loss_dice: 0.7740, decode.d2.loss_cls: 0.2793, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7509, decode.d3.loss_cls: 0.2611, decode.d3.loss_mask: 0.4986, decode.d3.loss_dice: 0.7353, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.4953, decode.d4.loss_dice: 0.7322, decode.d5.loss_cls: 0.2463, decode.d5.loss_mask: 0.4962, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2372, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7237, decode.d8.loss_cls: 0.2406, decode.d8.loss_mask: 0.4908, decode.d8.loss_dice: 0.7249, loss: 15.9550 2022-05-02 01:21:40,858 - mmseg - INFO - Iter [62600/80000] lr: 3.123e-07, eta: 9:20:28, time: 1.854, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2275, decode.loss_mask: 0.4847, decode.loss_dice: 0.7128, decode.d0.loss_cls: 1.2580, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.8046, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.5066, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2763, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2438, decode.d4.loss_mask: 0.4929, decode.d4.loss_dice: 0.7183, decode.d5.loss_cls: 0.2416, decode.d5.loss_mask: 0.4885, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.2318, decode.d7.loss_mask: 0.4847, decode.d7.loss_dice: 0.7077, decode.d8.loss_cls: 0.2285, decode.d8.loss_mask: 0.4845, decode.d8.loss_dice: 0.7076, loss: 15.7525 2022-05-02 01:23:13,915 - mmseg - INFO - Iter [62650/80000] lr: 3.114e-07, eta: 9:18:51, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2398, decode.loss_mask: 0.4765, decode.loss_dice: 0.7075, decode.d0.loss_cls: 1.2709, decode.d0.loss_mask: 0.5229, decode.d0.loss_dice: 0.8055, decode.d1.loss_cls: 0.3306, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2772, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2647, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7241, decode.d4.loss_cls: 0.2561, decode.d4.loss_mask: 0.4787, decode.d4.loss_dice: 0.7183, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.4801, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2422, decode.d6.loss_mask: 0.4749, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2442, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.7091, decode.d8.loss_cls: 0.2401, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.7123, loss: 15.7637 2022-05-02 01:24:47,134 - mmseg - INFO - Iter [62700/80000] lr: 3.105e-07, eta: 9:17:13, time: 1.863, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2442, decode.loss_mask: 0.4765, decode.loss_dice: 0.7071, decode.d0.loss_cls: 1.2615, decode.d0.loss_mask: 0.5259, decode.d0.loss_dice: 0.8040, decode.d1.loss_cls: 0.3263, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7573, decode.d2.loss_cls: 0.2895, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2739, decode.d3.loss_mask: 0.4786, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2674, decode.d4.loss_mask: 0.4771, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2548, decode.d5.loss_mask: 0.4775, decode.d5.loss_dice: 0.7077, decode.d6.loss_cls: 0.2498, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7035, decode.d7.loss_cls: 0.2424, decode.d7.loss_mask: 0.4771, decode.d7.loss_dice: 0.7120, decode.d8.loss_cls: 0.2446, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7078, loss: 15.7616 2022-05-02 01:26:21,233 - mmseg - INFO - Iter [62750/80000] lr: 3.096e-07, eta: 9:15:36, time: 1.883, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2194, decode.loss_mask: 0.4714, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.2362, decode.d0.loss_mask: 0.5108, decode.d0.loss_dice: 0.8043, decode.d1.loss_cls: 0.3104, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7582, decode.d2.loss_cls: 0.2658, decode.d2.loss_mask: 0.4780, decode.d2.loss_dice: 0.7376, decode.d3.loss_cls: 0.2557, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.7201, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4743, decode.d5.loss_dice: 0.7180, decode.d6.loss_cls: 0.2210, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.7120, decode.d7.loss_cls: 0.2243, decode.d7.loss_mask: 0.4698, decode.d7.loss_dice: 0.7087, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4698, decode.d8.loss_dice: 0.7080, loss: 15.5047 2022-05-02 01:27:53,426 - mmseg - INFO - Iter [62800/80000] lr: 3.087e-07, eta: 9:13:58, time: 1.844, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2220, decode.loss_mask: 0.4735, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2401, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3133, decode.d1.loss_mask: 0.4954, decode.d1.loss_dice: 0.7536, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4857, decode.d2.loss_dice: 0.7284, decode.d3.loss_cls: 0.2491, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2386, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7104, decode.d5.loss_cls: 0.2299, decode.d5.loss_mask: 0.4779, decode.d5.loss_dice: 0.7144, decode.d6.loss_cls: 0.2257, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7114, decode.d7.loss_cls: 0.2228, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7075, decode.d8.loss_cls: 0.2248, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7055, loss: 15.5280 2022-05-02 01:29:25,838 - mmseg - INFO - Iter [62850/80000] lr: 3.078e-07, eta: 9:12:20, time: 1.848, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2482, decode.loss_mask: 0.4884, decode.loss_dice: 0.7359, decode.d0.loss_cls: 1.2914, decode.d0.loss_mask: 0.5383, decode.d0.loss_dice: 0.8348, decode.d1.loss_cls: 0.3453, decode.d1.loss_mask: 0.5104, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.2983, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7610, decode.d3.loss_cls: 0.2805, decode.d3.loss_mask: 0.4944, decode.d3.loss_dice: 0.7439, decode.d4.loss_cls: 0.2664, decode.d4.loss_mask: 0.4931, decode.d4.loss_dice: 0.7445, decode.d5.loss_cls: 0.2588, decode.d5.loss_mask: 0.4921, decode.d5.loss_dice: 0.7427, decode.d6.loss_cls: 0.2529, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7407, decode.d7.loss_cls: 0.2533, decode.d7.loss_mask: 0.4886, decode.d7.loss_dice: 0.7419, decode.d8.loss_cls: 0.2485, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7368, loss: 16.2950 2022-05-02 01:30:58,102 - mmseg - INFO - Iter [62900/80000] lr: 3.069e-07, eta: 9:10:43, time: 1.845, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2348, decode.loss_mask: 0.4795, decode.loss_dice: 0.7240, decode.d0.loss_cls: 1.2470, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3224, decode.d1.loss_mask: 0.4996, decode.d1.loss_dice: 0.7765, decode.d2.loss_cls: 0.2809, decode.d2.loss_mask: 0.4848, decode.d2.loss_dice: 0.7480, decode.d3.loss_cls: 0.2570, decode.d3.loss_mask: 0.4840, decode.d3.loss_dice: 0.7343, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4820, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4791, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2365, decode.d6.loss_mask: 0.4787, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2371, decode.d7.loss_mask: 0.4784, decode.d7.loss_dice: 0.7250, decode.d8.loss_cls: 0.2344, decode.d8.loss_mask: 0.4795, decode.d8.loss_dice: 0.7255, loss: 15.8613 2022-05-02 01:32:30,712 - mmseg - INFO - Iter [62950/80000] lr: 3.060e-07, eta: 9:09:05, time: 1.852, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2449, decode.loss_mask: 0.4718, decode.loss_dice: 0.6861, decode.d0.loss_cls: 1.2696, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3302, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7340, decode.d2.loss_cls: 0.2828, decode.d2.loss_mask: 0.4832, decode.d2.loss_dice: 0.7095, decode.d3.loss_cls: 0.2711, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.6949, decode.d4.loss_cls: 0.2629, decode.d4.loss_mask: 0.4766, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.2558, decode.d5.loss_mask: 0.4758, decode.d5.loss_dice: 0.6912, decode.d6.loss_cls: 0.2488, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.2467, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.6866, decode.d8.loss_cls: 0.2493, decode.d8.loss_mask: 0.4735, decode.d8.loss_dice: 0.6855, loss: 15.5416 2022-05-02 01:34:04,351 - mmseg - INFO - Saving checkpoint at 63000 iterations 2022-05-02 01:34:32,927 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 01:34:32,935 - mmseg - INFO - Iter [63000/80000] lr: 3.051e-07, eta: 9:07:35, time: 2.443, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2490, decode.loss_mask: 0.4911, decode.loss_dice: 0.7415, decode.d0.loss_cls: 1.3078, decode.d0.loss_mask: 0.5324, decode.d0.loss_dice: 0.8391, decode.d1.loss_cls: 0.3473, decode.d1.loss_mask: 0.5128, decode.d1.loss_dice: 0.7904, decode.d2.loss_cls: 0.3009, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.2799, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7508, decode.d4.loss_cls: 0.2715, decode.d4.loss_mask: 0.4937, decode.d4.loss_dice: 0.7466, decode.d5.loss_cls: 0.2645, decode.d5.loss_mask: 0.4929, decode.d5.loss_dice: 0.7495, decode.d6.loss_cls: 0.2556, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7439, decode.d7.loss_cls: 0.2510, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7436, decode.d8.loss_cls: 0.2497, decode.d8.loss_mask: 0.4916, decode.d8.loss_dice: 0.7419, loss: 16.3773 2022-05-02 01:36:05,176 - mmseg - INFO - Iter [63050/80000] lr: 3.042e-07, eta: 9:05:57, time: 1.846, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2321, decode.loss_mask: 0.4851, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.2529, decode.d0.loss_mask: 0.5297, decode.d0.loss_dice: 0.8068, decode.d1.loss_cls: 0.3240, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7538, decode.d2.loss_cls: 0.2774, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7350, decode.d3.loss_cls: 0.2607, decode.d3.loss_mask: 0.4892, decode.d3.loss_dice: 0.7205, decode.d4.loss_cls: 0.2532, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7178, decode.d5.loss_cls: 0.2447, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7210, decode.d6.loss_cls: 0.2419, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2393, decode.d7.loss_mask: 0.4826, decode.d7.loss_dice: 0.7161, decode.d8.loss_cls: 0.2325, decode.d8.loss_mask: 0.4843, decode.d8.loss_dice: 0.7191, loss: 15.8021 2022-05-02 01:37:38,375 - mmseg - INFO - Iter [63100/80000] lr: 3.033e-07, eta: 9:04:20, time: 1.865, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2365, decode.loss_mask: 0.4935, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.2362, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8357, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.5156, decode.d1.loss_dice: 0.7811, decode.d2.loss_cls: 0.2844, decode.d2.loss_mask: 0.5028, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2663, decode.d3.loss_mask: 0.4954, decode.d3.loss_dice: 0.7431, decode.d4.loss_cls: 0.2555, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7415, decode.d5.loss_cls: 0.2502, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7385, decode.d6.loss_cls: 0.2427, decode.d6.loss_mask: 0.4939, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7282, decode.d8.loss_cls: 0.2397, decode.d8.loss_mask: 0.4938, decode.d8.loss_dice: 0.7322, loss: 16.1191 2022-05-02 01:39:09,696 - mmseg - INFO - Iter [63150/80000] lr: 3.024e-07, eta: 9:02:42, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2420, decode.loss_mask: 0.4895, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.2616, decode.d0.loss_mask: 0.5330, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.5119, decode.d1.loss_dice: 0.7710, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2703, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7227, decode.d4.loss_cls: 0.2566, decode.d4.loss_mask: 0.4955, decode.d4.loss_dice: 0.7306, decode.d5.loss_cls: 0.2493, decode.d5.loss_mask: 0.4952, decode.d5.loss_dice: 0.7302, decode.d6.loss_cls: 0.2508, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7185, decode.d7.loss_cls: 0.2462, decode.d7.loss_mask: 0.4897, decode.d7.loss_dice: 0.7236, decode.d8.loss_cls: 0.2401, decode.d8.loss_mask: 0.4916, decode.d8.loss_dice: 0.7233, loss: 16.0439 2022-05-02 01:40:40,649 - mmseg - INFO - Iter [63200/80000] lr: 3.015e-07, eta: 9:01:04, time: 1.819, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2295, decode.loss_mask: 0.4778, decode.loss_dice: 0.7183, decode.d0.loss_cls: 1.2698, decode.d0.loss_mask: 0.5185, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3346, decode.d1.loss_mask: 0.4975, decode.d1.loss_dice: 0.7741, decode.d2.loss_cls: 0.2792, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4819, decode.d3.loss_dice: 0.7306, decode.d4.loss_cls: 0.2493, decode.d4.loss_mask: 0.4797, decode.d4.loss_dice: 0.7256, decode.d5.loss_cls: 0.2434, decode.d5.loss_mask: 0.4801, decode.d5.loss_dice: 0.7208, decode.d6.loss_cls: 0.2395, decode.d6.loss_mask: 0.4779, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2314, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2358, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7170, loss: 15.8102 2022-05-02 01:42:14,832 - mmseg - INFO - Iter [63250/80000] lr: 3.006e-07, eta: 8:59:26, time: 1.882, data_time: 0.061, memory: 64716, decode.loss_cls: 0.2349, decode.loss_mask: 0.4898, decode.loss_dice: 0.7138, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.5387, decode.d0.loss_dice: 0.8205, decode.d1.loss_cls: 0.3235, decode.d1.loss_mask: 0.5146, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.2808, decode.d2.loss_mask: 0.5041, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2614, decode.d3.loss_mask: 0.4955, decode.d3.loss_dice: 0.7289, decode.d4.loss_cls: 0.2522, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7249, decode.d5.loss_cls: 0.2483, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2388, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7168, decode.d7.loss_cls: 0.2358, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2303, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7231, loss: 15.9599 2022-05-02 01:43:47,242 - mmseg - INFO - Iter [63300/80000] lr: 2.997e-07, eta: 8:57:49, time: 1.848, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2290, decode.loss_mask: 0.4656, decode.loss_dice: 0.7153, decode.d0.loss_cls: 1.2715, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.3314, decode.d1.loss_mask: 0.4878, decode.d1.loss_dice: 0.7627, decode.d2.loss_cls: 0.2817, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7396, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.4685, decode.d3.loss_dice: 0.7270, decode.d4.loss_cls: 0.2534, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7234, decode.d5.loss_cls: 0.2450, decode.d5.loss_mask: 0.4658, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4650, decode.d6.loss_dice: 0.7178, decode.d7.loss_cls: 0.2363, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.7207, decode.d8.loss_cls: 0.2322, decode.d8.loss_mask: 0.4650, decode.d8.loss_dice: 0.7224, loss: 15.6790 2022-05-02 01:45:19,063 - mmseg - INFO - Iter [63350/80000] lr: 2.988e-07, eta: 8:56:11, time: 1.837, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2296, decode.loss_mask: 0.4732, decode.loss_dice: 0.7131, decode.d0.loss_cls: 1.2830, decode.d0.loss_mask: 0.5213, decode.d0.loss_dice: 0.8123, decode.d1.loss_cls: 0.3243, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7637, decode.d2.loss_cls: 0.2740, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7390, decode.d3.loss_cls: 0.2576, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7243, decode.d4.loss_cls: 0.2456, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7228, decode.d5.loss_cls: 0.2485, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7189, decode.d6.loss_cls: 0.2369, decode.d6.loss_mask: 0.4749, decode.d6.loss_dice: 0.7142, decode.d7.loss_cls: 0.2363, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7150, decode.d8.loss_cls: 0.2332, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.7117, loss: 15.7269 2022-05-02 01:46:51,168 - mmseg - INFO - Iter [63400/80000] lr: 2.979e-07, eta: 8:54:33, time: 1.842, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2345, decode.loss_mask: 0.4677, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2633, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.8007, decode.d1.loss_cls: 0.3329, decode.d1.loss_mask: 0.4869, decode.d1.loss_dice: 0.7519, decode.d2.loss_cls: 0.2832, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7285, decode.d3.loss_cls: 0.2596, decode.d3.loss_mask: 0.4747, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4746, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2427, decode.d5.loss_mask: 0.4735, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7040, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.7102, decode.d8.loss_cls: 0.2322, decode.d8.loss_mask: 0.4716, decode.d8.loss_dice: 0.7058, loss: 15.6079 2022-05-02 01:48:24,462 - mmseg - INFO - Iter [63450/80000] lr: 2.970e-07, eta: 8:52:55, time: 1.866, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2337, decode.loss_mask: 0.4873, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.2769, decode.d0.loss_mask: 0.5304, decode.d0.loss_dice: 0.8206, decode.d1.loss_cls: 0.3336, decode.d1.loss_mask: 0.5108, decode.d1.loss_dice: 0.7712, decode.d2.loss_cls: 0.2906, decode.d2.loss_mask: 0.4975, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2693, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2561, decode.d4.loss_mask: 0.4925, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2498, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7261, decode.d6.loss_cls: 0.2476, decode.d6.loss_mask: 0.4881, decode.d6.loss_dice: 0.7221, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4881, decode.d7.loss_dice: 0.7184, decode.d8.loss_cls: 0.2396, decode.d8.loss_mask: 0.4882, decode.d8.loss_dice: 0.7225, loss: 16.0138 2022-05-02 01:49:56,267 - mmseg - INFO - Iter [63500/80000] lr: 2.962e-07, eta: 8:51:18, time: 1.836, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2203, decode.loss_mask: 0.4557, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.2655, decode.d0.loss_mask: 0.5055, decode.d0.loss_dice: 0.8082, decode.d1.loss_cls: 0.3111, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7606, decode.d2.loss_cls: 0.2648, decode.d2.loss_mask: 0.4691, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.7166, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4632, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2334, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2273, decode.d6.loss_mask: 0.4587, decode.d6.loss_dice: 0.7094, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.7113, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.7124, loss: 15.4172 2022-05-02 01:51:26,809 - mmseg - INFO - Iter [63550/80000] lr: 2.953e-07, eta: 8:49:39, time: 1.811, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2343, decode.loss_mask: 0.4872, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.2481, decode.d0.loss_mask: 0.5352, decode.d0.loss_dice: 0.7940, decode.d1.loss_cls: 0.3198, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7507, decode.d2.loss_cls: 0.2825, decode.d2.loss_mask: 0.5000, decode.d2.loss_dice: 0.7193, decode.d3.loss_cls: 0.2582, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7097, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2456, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2380, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7024, decode.d8.loss_cls: 0.2345, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7002, loss: 15.7266 2022-05-02 01:52:58,292 - mmseg - INFO - Iter [63600/80000] lr: 2.944e-07, eta: 8:48:02, time: 1.830, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2423, decode.loss_mask: 0.4964, decode.loss_dice: 0.7256, decode.d0.loss_cls: 1.2407, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7742, decode.d2.loss_cls: 0.2687, decode.d2.loss_mask: 0.5091, decode.d2.loss_dice: 0.7526, decode.d3.loss_cls: 0.2623, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.7388, decode.d4.loss_cls: 0.2509, decode.d4.loss_mask: 0.4993, decode.d4.loss_dice: 0.7388, decode.d5.loss_cls: 0.2482, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7308, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.4963, decode.d6.loss_dice: 0.7247, decode.d7.loss_cls: 0.2374, decode.d7.loss_mask: 0.4967, decode.d7.loss_dice: 0.7234, decode.d8.loss_cls: 0.2394, decode.d8.loss_mask: 0.4955, decode.d8.loss_dice: 0.7256, loss: 16.0557 2022-05-02 01:54:29,580 - mmseg - INFO - Iter [63650/80000] lr: 2.935e-07, eta: 8:46:24, time: 1.825, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2159, decode.loss_mask: 0.4828, decode.loss_dice: 0.7023, decode.d0.loss_cls: 1.2138, decode.d0.loss_mask: 0.5273, decode.d0.loss_dice: 0.7973, decode.d1.loss_cls: 0.2969, decode.d1.loss_mask: 0.5010, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7217, decode.d3.loss_cls: 0.2375, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7101, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4840, decode.d4.loss_dice: 0.7115, decode.d5.loss_cls: 0.2248, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7053, decode.d6.loss_cls: 0.2226, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4828, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2157, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.7064, loss: 15.4267 2022-05-02 01:56:01,682 - mmseg - INFO - Iter [63700/80000] lr: 2.926e-07, eta: 8:44:46, time: 1.843, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2412, decode.loss_mask: 0.4815, decode.loss_dice: 0.7183, decode.d0.loss_cls: 1.2929, decode.d0.loss_mask: 0.5281, decode.d0.loss_dice: 0.8225, decode.d1.loss_cls: 0.3375, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2889, decode.d2.loss_mask: 0.4981, decode.d2.loss_dice: 0.7452, decode.d3.loss_cls: 0.2663, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2565, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7317, decode.d5.loss_cls: 0.2530, decode.d5.loss_mask: 0.4835, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2469, decode.d6.loss_mask: 0.4814, decode.d6.loss_dice: 0.7178, decode.d7.loss_cls: 0.2452, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2412, decode.d8.loss_mask: 0.4797, decode.d8.loss_dice: 0.7183, loss: 15.9826 2022-05-02 01:57:34,505 - mmseg - INFO - Iter [63750/80000] lr: 2.917e-07, eta: 8:43:08, time: 1.855, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2374, decode.loss_mask: 0.4748, decode.loss_dice: 0.7066, decode.d0.loss_cls: 1.3011, decode.d0.loss_mask: 0.5210, decode.d0.loss_dice: 0.8056, decode.d1.loss_cls: 0.3287, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7625, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7302, decode.d3.loss_cls: 0.2704, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2586, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2596, decode.d5.loss_mask: 0.4785, decode.d5.loss_dice: 0.7121, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.7126, decode.d7.loss_cls: 0.2433, decode.d7.loss_mask: 0.4754, decode.d7.loss_dice: 0.7070, decode.d8.loss_cls: 0.2398, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7068, loss: 15.7907 2022-05-02 01:59:06,601 - mmseg - INFO - Iter [63800/80000] lr: 2.908e-07, eta: 8:41:31, time: 1.842, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2263, decode.loss_mask: 0.4714, decode.loss_dice: 0.7186, decode.d0.loss_cls: 1.2822, decode.d0.loss_mask: 0.5184, decode.d0.loss_dice: 0.8168, decode.d1.loss_cls: 0.3277, decode.d1.loss_mask: 0.4911, decode.d1.loss_dice: 0.7674, decode.d2.loss_cls: 0.2732, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2533, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7318, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4782, decode.d4.loss_dice: 0.7324, decode.d5.loss_cls: 0.2442, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7186, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4748, decode.d7.loss_dice: 0.7210, decode.d8.loss_cls: 0.2260, decode.d8.loss_mask: 0.4730, decode.d8.loss_dice: 0.7212, loss: 15.7620 2022-05-02 02:00:40,710 - mmseg - INFO - Iter [63850/80000] lr: 2.899e-07, eta: 8:39:53, time: 1.883, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2321, decode.loss_mask: 0.4928, decode.loss_dice: 0.7335, decode.d0.loss_cls: 1.2631, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.8377, decode.d1.loss_cls: 0.3232, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.7857, decode.d2.loss_cls: 0.2797, decode.d2.loss_mask: 0.5017, decode.d2.loss_dice: 0.7591, decode.d3.loss_cls: 0.2600, decode.d3.loss_mask: 0.4996, decode.d3.loss_dice: 0.7454, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7480, decode.d5.loss_cls: 0.2456, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7432, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7410, decode.d7.loss_cls: 0.2328, decode.d7.loss_mask: 0.4931, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2311, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7400, loss: 16.1514 2022-05-02 02:02:14,556 - mmseg - INFO - Iter [63900/80000] lr: 2.890e-07, eta: 8:38:16, time: 1.876, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2418, decode.loss_mask: 0.4933, decode.loss_dice: 0.7120, decode.d0.loss_cls: 1.2694, decode.d0.loss_mask: 0.5397, decode.d0.loss_dice: 0.8080, decode.d1.loss_cls: 0.3360, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7642, decode.d2.loss_cls: 0.2944, decode.d2.loss_mask: 0.5029, decode.d2.loss_dice: 0.7375, decode.d3.loss_cls: 0.2730, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7261, decode.d4.loss_cls: 0.2636, decode.d4.loss_mask: 0.4996, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2537, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7172, decode.d6.loss_cls: 0.2506, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7106, decode.d7.loss_cls: 0.2448, decode.d7.loss_mask: 0.4923, decode.d7.loss_dice: 0.7119, decode.d8.loss_cls: 0.2428, decode.d8.loss_mask: 0.4939, decode.d8.loss_dice: 0.7157, loss: 16.0250 2022-05-02 02:03:46,546 - mmseg - INFO - Iter [63950/80000] lr: 2.881e-07, eta: 8:36:38, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2248, decode.loss_mask: 0.4920, decode.loss_dice: 0.7093, decode.d0.loss_cls: 1.2297, decode.d0.loss_mask: 0.5361, decode.d0.loss_dice: 0.8017, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.5133, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2680, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7303, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4950, decode.d3.loss_dice: 0.7143, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7153, decode.d5.loss_cls: 0.2361, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2311, decode.d6.loss_mask: 0.4926, decode.d6.loss_dice: 0.7066, decode.d7.loss_cls: 0.2291, decode.d7.loss_mask: 0.4921, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4923, decode.d8.loss_dice: 0.7072, loss: 15.7113 2022-05-02 02:05:19,428 - mmseg - INFO - Saving checkpoint at 64000 iterations 2022-05-02 02:05:37,011 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 02:05:37,014 - mmseg - INFO - Iter [64000/80000] lr: 2.872e-07, eta: 8:35:05, time: 2.208, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2253, decode.loss_mask: 0.4615, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.2716, decode.d0.loss_mask: 0.5091, decode.d0.loss_dice: 0.7940, decode.d1.loss_cls: 0.3270, decode.d1.loss_mask: 0.4847, decode.d1.loss_dice: 0.7514, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7280, decode.d3.loss_cls: 0.2580, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7149, decode.d4.loss_cls: 0.2450, decode.d4.loss_mask: 0.4654, decode.d4.loss_dice: 0.7138, decode.d5.loss_cls: 0.2411, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4630, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2256, decode.d7.loss_mask: 0.4624, decode.d7.loss_dice: 0.7114, decode.d8.loss_cls: 0.2271, decode.d8.loss_mask: 0.4623, decode.d8.loss_dice: 0.7068, loss: 15.4873 2022-05-02 02:07:39,527 - mmseg - INFO - per class results: 2022-05-02 02:07:39,539 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.52 | 89.54 | | building | 84.95 | 91.65 | | sky | 95.33 | 97.47 | | floor | 86.57 | 92.69 | | tree | 78.24 | 90.17 | | ceiling | 87.86 | 93.62 | | road | 87.18 | 91.87 | | bed | 93.18 | 97.43 | | windowpane | 66.26 | 80.76 | | grass | 70.53 | 84.12 | | cabinet | 62.98 | 77.28 | | sidewalk | 74.07 | 87.02 | | person | 87.8 | 94.11 | | earth | 41.17 | 50.18 | | door | 58.81 | 77.35 | | table | 72.34 | 83.95 | | mountain | 56.25 | 72.28 | | plant | 57.07 | 70.12 | | curtain | 79.97 | 87.93 | | chair | 69.57 | 79.94 | | car | 88.94 | 94.79 | | water | 66.01 | 80.63 | | painting | 77.03 | 93.46 | | sofa | 82.93 | 91.01 | | shelf | 50.75 | 65.44 | | house | 53.35 | 71.9 | | sea | 79.52 | 90.97 | | mirror | 78.1 | 87.65 | | rug | 67.79 | 80.86 | | field | 30.74 | 54.51 | | armchair | 59.92 | 81.54 | | seat | 70.99 | 88.31 | | fence | 55.2 | 72.02 | | desk | 60.13 | 77.05 | | rock | 55.7 | 75.82 | | wardrobe | 60.35 | 75.02 | | lamp | 77.98 | 88.76 | | bathtub | 90.01 | 92.56 | | railing | 42.74 | 62.31 | | cushion | 72.7 | 85.13 | | base | 40.88 | 60.83 | | box | 37.27 | 49.79 | | column | 58.09 | 74.8 | | signboard | 42.76 | 64.06 | | chest of drawers | 34.85 | 65.13 | | counter | 57.95 | 72.8 | | sand | 59.71 | 89.57 | | sink | 87.46 | 92.21 | | skyscraper | 44.09 | 56.22 | | fireplace | 82.8 | 92.77 | | refrigerator | 82.63 | 87.78 | | grandstand | 53.62 | 85.78 | | path | 28.8 | 39.93 | | stairs | 35.16 | 41.16 | | runway | 75.97 | 97.35 | | case | 64.0 | 80.61 | | pool table | 95.62 | 97.91 | | pillow | 67.97 | 77.74 | | screen door | 64.5 | 73.07 | | stairway | 43.01 | 70.85 | | river | 24.23 | 38.56 | | bridge | 79.92 | 90.34 | | bookcase | 44.56 | 68.68 | | blind | 41.49 | 46.4 | | coffee table | 70.48 | 85.73 | | toilet | 90.46 | 93.15 | | flower | 47.47 | 71.82 | | book | 57.77 | 80.74 | | hill | 9.47 | 12.44 | | bench | 55.49 | 67.63 | | countertop | 68.36 | 83.56 | | stove | 84.8 | 90.18 | | palm | 56.76 | 79.85 | | kitchen island | 53.8 | 78.71 | | computer | 82.73 | 89.81 | | swivel chair | 54.32 | 79.56 | | boat | 80.41 | 91.35 | | bar | 66.21 | 72.23 | | arcade machine | 67.96 | 74.13 | | hovel | 44.64 | 49.33 | | bus | 90.91 | 95.53 | | towel | 82.77 | 92.93 | | light | 65.05 | 81.63 | | truck | 50.54 | 65.57 | | tower | 27.26 | 48.63 | | chandelier | 75.54 | 86.84 | | awning | 43.35 | 56.59 | | streetlight | 43.86 | 66.14 | | booth | 48.07 | 93.79 | | television receiver | 77.45 | 93.2 | | airplane | 72.59 | 77.12 | | dirt track | 21.76 | 54.65 | | apparel | 59.77 | 86.92 | | pole | 36.05 | 53.41 | | land | 0.0 | 0.0 | | bannister | 22.96 | 31.31 | | escalator | 60.49 | 79.22 | | ottoman | 56.84 | 71.51 | | bottle | 36.84 | 47.21 | | buffet | 54.57 | 69.95 | | poster | 36.58 | 56.06 | | stage | 23.01 | 45.69 | | van | 49.8 | 74.26 | | ship | 79.72 | 85.66 | | fountain | 36.41 | 37.43 | | conveyer belt | 60.4 | 97.23 | | canopy | 55.41 | 81.15 | | washer | 89.56 | 94.67 | | plaything | 50.98 | 78.84 | | swimming pool | 50.93 | 75.59 | | stool | 55.88 | 79.23 | | barrel | 77.79 | 97.8 | | basket | 41.4 | 65.97 | | waterfall | 47.32 | 57.79 | | tent | 91.6 | 97.58 | | bag | 31.89 | 42.88 | | minibike | 78.24 | 93.32 | | cradle | 83.42 | 97.91 | | oven | 66.63 | 79.92 | | ball | 52.4 | 58.94 | | food | 73.43 | 83.34 | | step | 20.21 | 23.13 | | tank | 55.11 | 69.2 | | trade name | 25.4 | 29.87 | | microwave | 92.09 | 97.26 | | pot | 56.68 | 67.23 | | animal | 68.09 | 69.67 | | bicycle | 64.1 | 81.01 | | lake | 66.17 | 66.34 | | dishwasher | 74.93 | 84.7 | | screen | 70.76 | 93.21 | | blanket | 27.41 | 39.82 | | sculpture | 74.73 | 89.95 | | hood | 63.05 | 77.49 | | sconce | 64.19 | 78.33 | | vase | 54.25 | 78.15 | | traffic light | 51.55 | 71.87 | | tray | 29.58 | 42.53 | | ashcan | 47.24 | 72.97 | | fan | 71.53 | 85.61 | | pier | 75.44 | 84.85 | | crt screen | 4.69 | 13.86 | | plate | 65.25 | 83.24 | | monitor | 11.31 | 13.5 | | bulletin board | 43.65 | 62.15 | | shower | 4.27 | 27.61 | | radiator | 69.45 | 89.89 | | glass | 26.47 | 29.4 | | clock | 57.9 | 78.68 | | flag | 74.22 | 85.82 | +---------------------+-------+-------+ 2022-05-02 02:07:39,539 - mmseg - INFO - Summary: 2022-05-02 02:07:39,539 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 86.6 | 59.48 | 73.56 | +------+-------+-------+ 2022-05-02 02:07:39,542 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query/best_mIoU_iter_48000.pth was removed 2022-05-02 02:08:10,021 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2022-05-02 02:08:10,037 - mmseg - INFO - Best mIoU is 0.5948 at 64000 iter. 2022-05-02 02:08:10,065 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 02:08:10,065 - mmseg - INFO - Iter(val) [125] aAcc: 0.8660, mIoU: 0.5948, mAcc: 0.7356, IoU.wall: 0.8252, IoU.building: 0.8495, IoU.sky: 0.9533, IoU.floor: 0.8657, IoU.tree: 0.7824, IoU.ceiling: 0.8786, IoU.road: 0.8718, IoU.bed : 0.9318, IoU.windowpane: 0.6626, IoU.grass: 0.7053, IoU.cabinet: 0.6298, IoU.sidewalk: 0.7407, IoU.person: 0.8780, IoU.earth: 0.4117, IoU.door: 0.5881, IoU.table: 0.7234, IoU.mountain: 0.5625, IoU.plant: 0.5707, IoU.curtain: 0.7997, IoU.chair: 0.6957, IoU.car: 0.8894, IoU.water: 0.6601, IoU.painting: 0.7703, IoU.sofa: 0.8293, IoU.shelf: 0.5075, IoU.house: 0.5335, IoU.sea: 0.7952, IoU.mirror: 0.7810, IoU.rug: 0.6779, IoU.field: 0.3074, IoU.armchair: 0.5992, IoU.seat: 0.7099, IoU.fence: 0.5520, IoU.desk: 0.6013, IoU.rock: 0.5570, IoU.wardrobe: 0.6035, IoU.lamp: 0.7798, IoU.bathtub: 0.9001, IoU.railing: 0.4274, IoU.cushion: 0.7270, IoU.base: 0.4088, IoU.box: 0.3727, IoU.column: 0.5809, IoU.signboard: 0.4276, IoU.chest of drawers: 0.3485, IoU.counter: 0.5795, IoU.sand: 0.5971, IoU.sink: 0.8746, IoU.skyscraper: 0.4409, IoU.fireplace: 0.8280, IoU.refrigerator: 0.8263, IoU.grandstand: 0.5362, IoU.path: 0.2880, IoU.stairs: 0.3516, IoU.runway: 0.7597, IoU.case: 0.6400, IoU.pool table: 0.9562, IoU.pillow: 0.6797, IoU.screen door: 0.6450, IoU.stairway: 0.4301, IoU.river: 0.2423, IoU.bridge: 0.7992, IoU.bookcase: 0.4456, IoU.blind: 0.4149, IoU.coffee table: 0.7048, IoU.toilet: 0.9046, IoU.flower: 0.4747, IoU.book: 0.5777, IoU.hill: 0.0947, IoU.bench: 0.5549, IoU.countertop: 0.6836, IoU.stove: 0.8480, IoU.palm: 0.5676, IoU.kitchen island: 0.5380, IoU.computer: 0.8273, IoU.swivel chair: 0.5432, IoU.boat: 0.8041, IoU.bar: 0.6621, IoU.arcade machine: 0.6796, IoU.hovel: 0.4464, IoU.bus: 0.9091, IoU.towel: 0.8277, IoU.light: 0.6505, IoU.truck: 0.5054, IoU.tower: 0.2726, IoU.chandelier: 0.7554, IoU.awning: 0.4335, IoU.streetlight: 0.4386, IoU.booth: 0.4807, IoU.television receiver: 0.7745, IoU.airplane: 0.7259, IoU.dirt track: 0.2176, IoU.apparel: 0.5977, IoU.pole: 0.3605, IoU.land: 0.0000, IoU.bannister: 0.2296, IoU.escalator: 0.6049, IoU.ottoman: 0.5684, IoU.bottle: 0.3684, IoU.buffet: 0.5457, IoU.poster: 0.3658, IoU.stage: 0.2301, IoU.van: 0.4980, IoU.ship: 0.7972, IoU.fountain: 0.3641, IoU.conveyer belt: 0.6040, IoU.canopy: 0.5541, IoU.washer: 0.8956, IoU.plaything: 0.5098, IoU.swimming pool: 0.5093, IoU.stool: 0.5588, IoU.barrel: 0.7779, IoU.basket: 0.4140, IoU.waterfall: 0.4732, IoU.tent: 0.9160, IoU.bag: 0.3189, IoU.minibike: 0.7824, IoU.cradle: 0.8342, IoU.oven: 0.6663, IoU.ball: 0.5240, IoU.food: 0.7343, IoU.step: 0.2021, IoU.tank: 0.5511, IoU.trade name: 0.2540, IoU.microwave: 0.9209, IoU.pot: 0.5668, IoU.animal: 0.6809, IoU.bicycle: 0.6410, IoU.lake: 0.6617, IoU.dishwasher: 0.7493, IoU.screen: 0.7076, IoU.blanket: 0.2741, IoU.sculpture: 0.7473, IoU.hood: 0.6305, IoU.sconce: 0.6419, IoU.vase: 0.5425, IoU.traffic light: 0.5155, IoU.tray: 0.2958, IoU.ashcan: 0.4724, IoU.fan: 0.7153, IoU.pier: 0.7544, IoU.crt screen: 0.0469, IoU.plate: 0.6525, IoU.monitor: 0.1131, IoU.bulletin board: 0.4365, IoU.shower: 0.0427, IoU.radiator: 0.6945, IoU.glass: 0.2647, IoU.clock: 0.5790, IoU.flag: 0.7422, Acc.wall: 0.8954, Acc.building: 0.9165, Acc.sky: 0.9747, Acc.floor: 0.9269, Acc.tree: 0.9017, Acc.ceiling: 0.9362, Acc.road: 0.9187, Acc.bed : 0.9743, Acc.windowpane: 0.8076, Acc.grass: 0.8412, Acc.cabinet: 0.7728, Acc.sidewalk: 0.8702, Acc.person: 0.9411, Acc.earth: 0.5018, Acc.door: 0.7735, Acc.table: 0.8395, Acc.mountain: 0.7228, Acc.plant: 0.7012, Acc.curtain: 0.8793, Acc.chair: 0.7994, Acc.car: 0.9479, Acc.water: 0.8063, Acc.painting: 0.9346, Acc.sofa: 0.9101, Acc.shelf: 0.6544, Acc.house: 0.7190, Acc.sea: 0.9097, Acc.mirror: 0.8765, Acc.rug: 0.8086, Acc.field: 0.5451, Acc.armchair: 0.8154, Acc.seat: 0.8831, Acc.fence: 0.7202, Acc.desk: 0.7705, Acc.rock: 0.7582, Acc.wardrobe: 0.7502, Acc.lamp: 0.8876, Acc.bathtub: 0.9256, Acc.railing: 0.6231, Acc.cushion: 0.8513, Acc.base: 0.6083, Acc.box: 0.4979, Acc.column: 0.7480, Acc.signboard: 0.6406, Acc.chest of drawers: 0.6513, Acc.counter: 0.7280, Acc.sand: 0.8957, Acc.sink: 0.9221, Acc.skyscraper: 0.5622, Acc.fireplace: 0.9277, Acc.refrigerator: 0.8778, Acc.grandstand: 0.8578, Acc.path: 0.3993, Acc.stairs: 0.4116, Acc.runway: 0.9735, Acc.case: 0.8061, Acc.pool table: 0.9791, Acc.pillow: 0.7774, Acc.screen door: 0.7307, Acc.stairway: 0.7085, Acc.river: 0.3856, Acc.bridge: 0.9034, Acc.bookcase: 0.6868, Acc.blind: 0.4640, Acc.coffee table: 0.8573, Acc.toilet: 0.9315, Acc.flower: 0.7182, Acc.book: 0.8074, Acc.hill: 0.1244, Acc.bench: 0.6763, Acc.countertop: 0.8356, Acc.stove: 0.9018, Acc.palm: 0.7985, Acc.kitchen island: 0.7871, Acc.computer: 0.8981, Acc.swivel chair: 0.7956, Acc.boat: 0.9135, Acc.bar: 0.7223, Acc.arcade machine: 0.7413, Acc.hovel: 0.4933, Acc.bus: 0.9553, Acc.towel: 0.9293, Acc.light: 0.8163, Acc.truck: 0.6557, Acc.tower: 0.4863, Acc.chandelier: 0.8684, Acc.awning: 0.5659, Acc.streetlight: 0.6614, Acc.booth: 0.9379, Acc.television receiver: 0.9320, Acc.airplane: 0.7712, Acc.dirt track: 0.5465, Acc.apparel: 0.8692, Acc.pole: 0.5341, Acc.land: 0.0000, Acc.bannister: 0.3131, Acc.escalator: 0.7922, Acc.ottoman: 0.7151, Acc.bottle: 0.4721, Acc.buffet: 0.6995, Acc.poster: 0.5606, Acc.stage: 0.4569, Acc.van: 0.7426, Acc.ship: 0.8566, Acc.fountain: 0.3743, Acc.conveyer belt: 0.9723, Acc.canopy: 0.8115, Acc.washer: 0.9467, Acc.plaything: 0.7884, Acc.swimming pool: 0.7559, Acc.stool: 0.7923, Acc.barrel: 0.9780, Acc.basket: 0.6597, Acc.waterfall: 0.5779, Acc.tent: 0.9758, Acc.bag: 0.4288, Acc.minibike: 0.9332, Acc.cradle: 0.9791, Acc.oven: 0.7992, Acc.ball: 0.5894, Acc.food: 0.8334, Acc.step: 0.2313, Acc.tank: 0.6920, Acc.trade name: 0.2987, Acc.microwave: 0.9726, Acc.pot: 0.6723, Acc.animal: 0.6967, Acc.bicycle: 0.8101, Acc.lake: 0.6634, Acc.dishwasher: 0.8470, Acc.screen: 0.9321, Acc.blanket: 0.3982, Acc.sculpture: 0.8995, Acc.hood: 0.7749, Acc.sconce: 0.7833, Acc.vase: 0.7815, Acc.traffic light: 0.7187, Acc.tray: 0.4253, Acc.ashcan: 0.7297, Acc.fan: 0.8561, Acc.pier: 0.8485, Acc.crt screen: 0.1386, Acc.plate: 0.8324, Acc.monitor: 0.1350, Acc.bulletin board: 0.6215, Acc.shower: 0.2761, Acc.radiator: 0.8989, Acc.glass: 0.2940, Acc.clock: 0.7868, Acc.flag: 0.8582 2022-05-02 02:09:43,106 - mmseg - INFO - Iter [64050/80000] lr: 2.863e-07, eta: 8:34:06, time: 4.924, data_time: 3.078, memory: 64716, decode.loss_cls: 0.2316, decode.loss_mask: 0.4997, decode.loss_dice: 0.7300, decode.d0.loss_cls: 1.2320, decode.d0.loss_mask: 0.5558, decode.d0.loss_dice: 0.8402, decode.d1.loss_cls: 0.3223, decode.d1.loss_mask: 0.5332, decode.d1.loss_dice: 0.7807, decode.d2.loss_cls: 0.2809, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7559, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7408, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7409, decode.d5.loss_cls: 0.2442, decode.d5.loss_mask: 0.5039, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2378, decode.d6.loss_mask: 0.5022, decode.d6.loss_dice: 0.7306, decode.d7.loss_cls: 0.2341, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7291, decode.d8.loss_cls: 0.2320, decode.d8.loss_mask: 0.5003, decode.d8.loss_dice: 0.7294, loss: 16.1690 2022-05-02 02:11:15,268 - mmseg - INFO - Iter [64100/80000] lr: 2.854e-07, eta: 8:32:28, time: 1.841, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2229, decode.loss_mask: 0.4757, decode.loss_dice: 0.7192, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.8162, decode.d1.loss_cls: 0.3180, decode.d1.loss_mask: 0.4981, decode.d1.loss_dice: 0.7677, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4854, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2514, decode.d3.loss_mask: 0.4800, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2409, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2361, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7246, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.7209, decode.d7.loss_cls: 0.2299, decode.d7.loss_mask: 0.4751, decode.d7.loss_dice: 0.7198, decode.d8.loss_cls: 0.2250, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7184, loss: 15.7188 2022-05-02 02:12:47,364 - mmseg - INFO - Iter [64150/80000] lr: 2.845e-07, eta: 8:30:50, time: 1.844, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2299, decode.loss_mask: 0.4928, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.2657, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8175, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.7768, decode.d2.loss_cls: 0.2730, decode.d2.loss_mask: 0.5092, decode.d2.loss_dice: 0.7471, decode.d3.loss_cls: 0.2610, decode.d3.loss_mask: 0.4979, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7286, decode.d5.loss_cls: 0.2431, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7248, decode.d6.loss_cls: 0.2363, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2337, decode.d7.loss_mask: 0.4927, decode.d7.loss_dice: 0.7202, decode.d8.loss_cls: 0.2345, decode.d8.loss_mask: 0.4904, decode.d8.loss_dice: 0.7157, loss: 15.9736 2022-05-02 02:14:19,515 - mmseg - INFO - Iter [64200/80000] lr: 2.836e-07, eta: 8:29:12, time: 1.841, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2454, decode.loss_mask: 0.4994, decode.loss_dice: 0.7181, decode.d0.loss_cls: 1.2747, decode.d0.loss_mask: 0.5411, decode.d0.loss_dice: 0.8070, decode.d1.loss_cls: 0.3383, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.7636, decode.d2.loss_cls: 0.2908, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2723, decode.d3.loss_mask: 0.5038, decode.d3.loss_dice: 0.7338, decode.d4.loss_cls: 0.2598, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2509, decode.d5.loss_mask: 0.5020, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2448, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7224, decode.d7.loss_cls: 0.2460, decode.d7.loss_mask: 0.4990, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2480, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7193, loss: 16.1219 2022-05-02 02:15:51,448 - mmseg - INFO - Iter [64250/80000] lr: 2.827e-07, eta: 8:27:35, time: 1.840, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2379, decode.loss_mask: 0.4766, decode.loss_dice: 0.7273, decode.d0.loss_cls: 1.2770, decode.d0.loss_mask: 0.5330, decode.d0.loss_dice: 0.8248, decode.d1.loss_cls: 0.3338, decode.d1.loss_mask: 0.5021, decode.d1.loss_dice: 0.7749, decode.d2.loss_cls: 0.2827, decode.d2.loss_mask: 0.4912, decode.d2.loss_dice: 0.7521, decode.d3.loss_cls: 0.2686, decode.d3.loss_mask: 0.4828, decode.d3.loss_dice: 0.7344, decode.d4.loss_cls: 0.2524, decode.d4.loss_mask: 0.4829, decode.d4.loss_dice: 0.7348, decode.d5.loss_cls: 0.2501, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4796, decode.d6.loss_dice: 0.7237, decode.d7.loss_cls: 0.2410, decode.d7.loss_mask: 0.4799, decode.d7.loss_dice: 0.7281, decode.d8.loss_cls: 0.2405, decode.d8.loss_mask: 0.4773, decode.d8.loss_dice: 0.7287, loss: 15.9724 2022-05-02 02:17:23,974 - mmseg - INFO - Iter [64300/80000] lr: 2.818e-07, eta: 8:25:57, time: 1.850, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2407, decode.loss_mask: 0.4765, decode.loss_dice: 0.7142, decode.d0.loss_cls: 1.2883, decode.d0.loss_mask: 0.5248, decode.d0.loss_dice: 0.8199, decode.d1.loss_cls: 0.3348, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7679, decode.d2.loss_cls: 0.2847, decode.d2.loss_mask: 0.4861, decode.d2.loss_dice: 0.7408, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4815, decode.d3.loss_dice: 0.7267, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4799, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2474, decode.d5.loss_mask: 0.4791, decode.d5.loss_dice: 0.7242, decode.d6.loss_cls: 0.2413, decode.d6.loss_mask: 0.4766, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2396, decode.d7.loss_mask: 0.4767, decode.d7.loss_dice: 0.7191, decode.d8.loss_cls: 0.2401, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7182, loss: 15.8643 2022-05-02 02:18:56,958 - mmseg - INFO - Iter [64350/80000] lr: 2.809e-07, eta: 8:24:19, time: 1.860, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2295, decode.loss_mask: 0.4886, decode.loss_dice: 0.7280, decode.d0.loss_cls: 1.2636, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8300, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.5082, decode.d1.loss_dice: 0.7776, decode.d2.loss_cls: 0.2772, decode.d2.loss_mask: 0.4987, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.2604, decode.d3.loss_mask: 0.4920, decode.d3.loss_dice: 0.7412, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7364, decode.d5.loss_cls: 0.2415, decode.d5.loss_mask: 0.4921, decode.d5.loss_dice: 0.7383, decode.d6.loss_cls: 0.2303, decode.d6.loss_mask: 0.4895, decode.d6.loss_dice: 0.7374, decode.d7.loss_cls: 0.2298, decode.d7.loss_mask: 0.4898, decode.d7.loss_dice: 0.7324, decode.d8.loss_cls: 0.2256, decode.d8.loss_mask: 0.4899, decode.d8.loss_dice: 0.7363, loss: 16.0270 2022-05-02 02:20:28,850 - mmseg - INFO - Iter [64400/80000] lr: 2.800e-07, eta: 8:22:42, time: 1.839, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2520, decode.loss_mask: 0.4906, decode.loss_dice: 0.7311, decode.d0.loss_cls: 1.2891, decode.d0.loss_mask: 0.5378, decode.d0.loss_dice: 0.8283, decode.d1.loss_cls: 0.3454, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7898, decode.d2.loss_cls: 0.2989, decode.d2.loss_mask: 0.5068, decode.d2.loss_dice: 0.7586, decode.d3.loss_cls: 0.2845, decode.d3.loss_mask: 0.4990, decode.d3.loss_dice: 0.7411, decode.d4.loss_cls: 0.2740, decode.d4.loss_mask: 0.4978, decode.d4.loss_dice: 0.7430, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.4961, decode.d5.loss_dice: 0.7395, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2610, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7307, decode.d8.loss_cls: 0.2504, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7345, loss: 16.3332 2022-05-02 02:22:00,920 - mmseg - INFO - Iter [64450/80000] lr: 2.791e-07, eta: 8:21:04, time: 1.841, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2477, decode.loss_mask: 0.4794, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.5241, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.3286, decode.d1.loss_mask: 0.5067, decode.d1.loss_dice: 0.7590, decode.d2.loss_cls: 0.2979, decode.d2.loss_mask: 0.4915, decode.d2.loss_dice: 0.7285, decode.d3.loss_cls: 0.2734, decode.d3.loss_mask: 0.4856, decode.d3.loss_dice: 0.7155, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2590, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7131, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.2516, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2474, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7068, loss: 15.8525 2022-05-02 02:23:35,825 - mmseg - INFO - Iter [64500/80000] lr: 2.782e-07, eta: 8:19:27, time: 1.896, data_time: 0.061, memory: 64716, decode.loss_cls: 0.2203, decode.loss_mask: 0.4808, decode.loss_dice: 0.7122, decode.d0.loss_cls: 1.2176, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8074, decode.d1.loss_cls: 0.3034, decode.d1.loss_mask: 0.5052, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2662, decode.d2.loss_mask: 0.4933, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2424, decode.d3.loss_mask: 0.4889, decode.d3.loss_dice: 0.7272, decode.d4.loss_cls: 0.2367, decode.d4.loss_mask: 0.4885, decode.d4.loss_dice: 0.7259, decode.d5.loss_cls: 0.2280, decode.d5.loss_mask: 0.4859, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7184, decode.d7.loss_cls: 0.2281, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7196, decode.d8.loss_cls: 0.2246, decode.d8.loss_mask: 0.4806, decode.d8.loss_dice: 0.7144, loss: 15.6646 2022-05-02 02:25:07,917 - mmseg - INFO - Iter [64550/80000] lr: 2.773e-07, eta: 8:17:49, time: 1.843, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.4986, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.3063, decode.d0.loss_mask: 0.5413, decode.d0.loss_dice: 0.8423, decode.d1.loss_cls: 0.3319, decode.d1.loss_mask: 0.5219, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.2854, decode.d2.loss_mask: 0.5089, decode.d2.loss_dice: 0.7671, decode.d3.loss_cls: 0.2715, decode.d3.loss_mask: 0.5024, decode.d3.loss_dice: 0.7495, decode.d4.loss_cls: 0.2601, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7541, decode.d5.loss_cls: 0.2533, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7502, decode.d6.loss_cls: 0.2483, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7439, decode.d7.loss_cls: 0.2462, decode.d7.loss_mask: 0.4977, decode.d7.loss_dice: 0.7438, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7463, loss: 16.3865 2022-05-02 02:26:38,907 - mmseg - INFO - Iter [64600/80000] lr: 2.764e-07, eta: 8:16:11, time: 1.820, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2198, decode.loss_mask: 0.4531, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7793, decode.d1.loss_cls: 0.3029, decode.d1.loss_mask: 0.4767, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.6959, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.2240, decode.d6.loss_mask: 0.4578, decode.d6.loss_dice: 0.6890, decode.d7.loss_cls: 0.2224, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6878, decode.d8.loss_cls: 0.2205, decode.d8.loss_mask: 0.4536, decode.d8.loss_dice: 0.6875, loss: 15.1244 2022-05-02 02:28:10,132 - mmseg - INFO - Iter [64650/80000] lr: 2.755e-07, eta: 8:14:33, time: 1.826, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2201, decode.loss_mask: 0.4711, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.2613, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.8072, decode.d1.loss_cls: 0.3108, decode.d1.loss_mask: 0.4883, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2695, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7313, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4747, decode.d3.loss_dice: 0.7208, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4744, decode.d4.loss_dice: 0.7186, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.7197, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.7118, decode.d7.loss_cls: 0.2261, decode.d7.loss_mask: 0.4702, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2170, decode.d8.loss_mask: 0.4712, decode.d8.loss_dice: 0.7117, loss: 15.5350 2022-05-02 02:29:43,104 - mmseg - INFO - Iter [64700/80000] lr: 2.746e-07, eta: 8:12:55, time: 1.858, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2355, decode.loss_mask: 0.4780, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.2688, decode.d0.loss_mask: 0.5273, decode.d0.loss_dice: 0.8046, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.4961, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2886, decode.d2.loss_mask: 0.4887, decode.d2.loss_dice: 0.7298, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4812, decode.d4.loss_dice: 0.7159, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7168, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2395, decode.d7.loss_mask: 0.4768, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2415, decode.d8.loss_mask: 0.4756, decode.d8.loss_dice: 0.7041, loss: 15.7381 2022-05-02 02:31:16,216 - mmseg - INFO - Iter [64750/80000] lr: 2.737e-07, eta: 8:11:18, time: 1.863, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2478, decode.loss_mask: 0.4912, decode.loss_dice: 0.7140, decode.d0.loss_cls: 1.2827, decode.d0.loss_mask: 0.5414, decode.d0.loss_dice: 0.8159, decode.d1.loss_cls: 0.3448, decode.d1.loss_mask: 0.5179, decode.d1.loss_dice: 0.7694, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.5064, decode.d2.loss_dice: 0.7368, decode.d3.loss_cls: 0.2743, decode.d3.loss_mask: 0.4968, decode.d3.loss_dice: 0.7209, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.4949, decode.d4.loss_dice: 0.7225, decode.d5.loss_cls: 0.2639, decode.d5.loss_mask: 0.4936, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2518, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7148, decode.d7.loss_cls: 0.2535, decode.d7.loss_mask: 0.4901, decode.d7.loss_dice: 0.7110, decode.d8.loss_cls: 0.2489, decode.d8.loss_mask: 0.4925, decode.d8.loss_dice: 0.7112, loss: 16.0740 2022-05-02 02:32:47,281 - mmseg - INFO - Iter [64800/80000] lr: 2.728e-07, eta: 8:09:40, time: 1.822, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2304, decode.loss_mask: 0.4788, decode.loss_dice: 0.7183, decode.d0.loss_cls: 1.2723, decode.d0.loss_mask: 0.5166, decode.d0.loss_dice: 0.8185, decode.d1.loss_cls: 0.3310, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7642, decode.d2.loss_cls: 0.2846, decode.d2.loss_mask: 0.4901, decode.d2.loss_dice: 0.7448, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4819, decode.d3.loss_dice: 0.7274, decode.d4.loss_cls: 0.2502, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7248, decode.d5.loss_cls: 0.2460, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.7247, decode.d6.loss_cls: 0.2380, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2354, decode.d7.loss_mask: 0.4802, decode.d7.loss_dice: 0.7187, decode.d8.loss_cls: 0.2283, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7205, loss: 15.8296 2022-05-02 02:34:18,748 - mmseg - INFO - Iter [64850/80000] lr: 2.719e-07, eta: 8:08:02, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2204, decode.loss_mask: 0.4661, decode.loss_dice: 0.7125, decode.d0.loss_cls: 1.2247, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.8150, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7618, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4775, decode.d2.loss_dice: 0.7402, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4747, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4714, decode.d4.loss_dice: 0.7274, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4708, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2236, decode.d6.loss_mask: 0.4698, decode.d6.loss_dice: 0.7170, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7212, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4684, decode.d8.loss_dice: 0.7157, loss: 15.5321 2022-05-02 02:35:50,593 - mmseg - INFO - Iter [64900/80000] lr: 2.710e-07, eta: 8:06:24, time: 1.836, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2576, decode.loss_mask: 0.4790, decode.loss_dice: 0.7196, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.5266, decode.d0.loss_dice: 0.8187, decode.d1.loss_cls: 0.3440, decode.d1.loss_mask: 0.5035, decode.d1.loss_dice: 0.7661, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.4928, decode.d2.loss_dice: 0.7440, decode.d3.loss_cls: 0.2810, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7293, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.4828, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.4798, decode.d5.loss_dice: 0.7238, decode.d6.loss_cls: 0.2576, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2560, decode.d7.loss_mask: 0.4800, decode.d7.loss_dice: 0.7193, decode.d8.loss_cls: 0.2544, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7209, loss: 16.0478 2022-05-02 02:37:23,609 - mmseg - INFO - Iter [64950/80000] lr: 2.701e-07, eta: 8:04:47, time: 1.860, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2249, decode.loss_mask: 0.4599, decode.loss_dice: 0.6949, decode.d0.loss_cls: 1.2456, decode.d0.loss_mask: 0.5008, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.3203, decode.d1.loss_mask: 0.4791, decode.d1.loss_dice: 0.7404, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2565, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.6972, decode.d4.loss_cls: 0.2425, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.7004, decode.d5.loss_cls: 0.2398, decode.d5.loss_mask: 0.4640, decode.d5.loss_dice: 0.6987, decode.d6.loss_cls: 0.2307, decode.d6.loss_mask: 0.4600, decode.d6.loss_dice: 0.6933, decode.d7.loss_cls: 0.2279, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.6980, loss: 15.2897 2022-05-02 02:38:55,820 - mmseg - INFO - Saving checkpoint at 65000 iterations 2022-05-02 02:39:13,491 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 02:39:13,491 - mmseg - INFO - Iter [65000/80000] lr: 2.692e-07, eta: 8:03:13, time: 2.199, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2532, decode.loss_mask: 0.4844, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.3095, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8313, decode.d1.loss_cls: 0.3525, decode.d1.loss_mask: 0.5046, decode.d1.loss_dice: 0.7762, decode.d2.loss_cls: 0.3051, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7499, decode.d3.loss_cls: 0.2806, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7299, decode.d4.loss_cls: 0.2729, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7319, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4884, decode.d5.loss_dice: 0.7243, decode.d6.loss_cls: 0.2645, decode.d6.loss_mask: 0.4852, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.4840, decode.d7.loss_dice: 0.7184, decode.d8.loss_cls: 0.2511, decode.d8.loss_mask: 0.4860, decode.d8.loss_dice: 0.7173, loss: 16.1633 2022-05-02 02:40:45,926 - mmseg - INFO - Iter [65050/80000] lr: 2.683e-07, eta: 8:01:36, time: 1.848, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2179, decode.loss_mask: 0.4939, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.2489, decode.d0.loss_mask: 0.5418, decode.d0.loss_dice: 0.8245, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2588, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7366, decode.d4.loss_cls: 0.2264, decode.d4.loss_mask: 0.4956, decode.d4.loss_dice: 0.7328, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4928, decode.d5.loss_dice: 0.7338, decode.d6.loss_cls: 0.2224, decode.d6.loss_mask: 0.4948, decode.d6.loss_dice: 0.7277, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7265, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4937, decode.d8.loss_dice: 0.7273, loss: 15.8380 2022-05-02 02:42:18,926 - mmseg - INFO - Iter [65100/80000] lr: 2.674e-07, eta: 7:59:58, time: 1.861, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2259, decode.loss_mask: 0.4771, decode.loss_dice: 0.7165, decode.d0.loss_cls: 1.2330, decode.d0.loss_mask: 0.5202, decode.d0.loss_dice: 0.8071, decode.d1.loss_cls: 0.3182, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7620, decode.d2.loss_cls: 0.2774, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7381, decode.d3.loss_cls: 0.2569, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7275, decode.d4.loss_cls: 0.2485, decode.d4.loss_mask: 0.4819, decode.d4.loss_dice: 0.7236, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4810, decode.d5.loss_dice: 0.7202, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4792, decode.d6.loss_dice: 0.7151, decode.d7.loss_cls: 0.2295, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7151, loss: 15.7037 2022-05-02 02:43:51,132 - mmseg - INFO - Iter [65150/80000] lr: 2.665e-07, eta: 7:58:20, time: 1.842, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2253, decode.loss_mask: 0.4840, decode.loss_dice: 0.7233, decode.d0.loss_cls: 1.2910, decode.d0.loss_mask: 0.5269, decode.d0.loss_dice: 0.8154, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.5094, decode.d1.loss_dice: 0.7734, decode.d2.loss_cls: 0.2740, decode.d2.loss_mask: 0.4963, decode.d2.loss_dice: 0.7441, decode.d3.loss_cls: 0.2534, decode.d3.loss_mask: 0.4900, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2475, decode.d4.loss_mask: 0.4877, decode.d4.loss_dice: 0.7297, decode.d5.loss_cls: 0.2385, decode.d5.loss_mask: 0.4861, decode.d5.loss_dice: 0.7255, decode.d6.loss_cls: 0.2295, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4858, decode.d7.loss_dice: 0.7279, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4845, decode.d8.loss_dice: 0.7254, loss: 15.8866 2022-05-02 02:45:22,462 - mmseg - INFO - Iter [65200/80000] lr: 2.656e-07, eta: 7:56:43, time: 1.828, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2288, decode.loss_mask: 0.4707, decode.loss_dice: 0.7105, decode.d0.loss_cls: 1.2688, decode.d0.loss_mask: 0.5114, decode.d0.loss_dice: 0.7998, decode.d1.loss_cls: 0.3333, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2771, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7277, decode.d3.loss_cls: 0.2563, decode.d3.loss_mask: 0.4750, decode.d3.loss_dice: 0.7139, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4740, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.7119, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2342, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.7089, decode.d8.loss_cls: 0.2321, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.7100, loss: 15.6085 2022-05-02 02:46:55,810 - mmseg - INFO - Iter [65250/80000] lr: 2.647e-07, eta: 7:55:05, time: 1.867, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2356, decode.loss_mask: 0.4756, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.2707, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8034, decode.d1.loss_cls: 0.3337, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7583, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7345, decode.d3.loss_cls: 0.2701, decode.d3.loss_mask: 0.4806, decode.d3.loss_dice: 0.7192, decode.d4.loss_cls: 0.2589, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7163, decode.d5.loss_cls: 0.2498, decode.d5.loss_mask: 0.4796, decode.d5.loss_dice: 0.7198, decode.d6.loss_cls: 0.2443, decode.d6.loss_mask: 0.4775, decode.d6.loss_dice: 0.7115, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4768, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2388, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7150, loss: 15.7725 2022-05-02 02:48:28,353 - mmseg - INFO - Iter [65300/80000] lr: 2.638e-07, eta: 7:53:28, time: 1.851, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2298, decode.loss_mask: 0.5011, decode.loss_dice: 0.7189, decode.d0.loss_cls: 1.2149, decode.d0.loss_mask: 0.5380, decode.d0.loss_dice: 0.8079, decode.d1.loss_cls: 0.3162, decode.d1.loss_mask: 0.5213, decode.d1.loss_dice: 0.7678, decode.d2.loss_cls: 0.2750, decode.d2.loss_mask: 0.5056, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2610, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7277, decode.d4.loss_cls: 0.2470, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.5047, decode.d5.loss_dice: 0.7254, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.5009, decode.d6.loss_dice: 0.7225, decode.d7.loss_cls: 0.2313, decode.d7.loss_mask: 0.5037, decode.d7.loss_dice: 0.7235, decode.d8.loss_cls: 0.2331, decode.d8.loss_mask: 0.5007, decode.d8.loss_dice: 0.7189, loss: 15.9636 2022-05-02 02:50:01,271 - mmseg - INFO - Iter [65350/80000] lr: 2.629e-07, eta: 7:51:50, time: 1.859, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2495, decode.loss_mask: 0.4757, decode.loss_dice: 0.7223, decode.d0.loss_cls: 1.2581, decode.d0.loss_mask: 0.5209, decode.d0.loss_dice: 0.8096, decode.d1.loss_cls: 0.3332, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7653, decode.d2.loss_cls: 0.2839, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2738, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2682, decode.d4.loss_mask: 0.4792, decode.d4.loss_dice: 0.7287, decode.d5.loss_cls: 0.2565, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2519, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.7210, decode.d7.loss_cls: 0.2503, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.7199, decode.d8.loss_cls: 0.2467, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.7196, loss: 15.9189 2022-05-02 02:51:34,367 - mmseg - INFO - Iter [65400/80000] lr: 2.621e-07, eta: 7:50:13, time: 1.861, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2347, decode.loss_mask: 0.4665, decode.loss_dice: 0.7104, decode.d0.loss_cls: 1.2829, decode.d0.loss_mask: 0.5072, decode.d0.loss_dice: 0.7976, decode.d1.loss_cls: 0.3285, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.7307, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4738, decode.d4.loss_dice: 0.7175, decode.d5.loss_cls: 0.2461, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.7144, decode.d6.loss_cls: 0.2399, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.7110, decode.d7.loss_cls: 0.2362, decode.d7.loss_mask: 0.4681, decode.d7.loss_dice: 0.7112, decode.d8.loss_cls: 0.2330, decode.d8.loss_mask: 0.4691, decode.d8.loss_dice: 0.7158, loss: 15.6466 2022-05-02 02:53:06,034 - mmseg - INFO - Iter [65450/80000] lr: 2.612e-07, eta: 7:48:35, time: 1.835, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2281, decode.loss_mask: 0.4841, decode.loss_dice: 0.6959, decode.d0.loss_cls: 1.2428, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.7864, decode.d1.loss_cls: 0.3223, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2762, decode.d2.loss_mask: 0.4938, decode.d2.loss_dice: 0.7193, decode.d3.loss_cls: 0.2567, decode.d3.loss_mask: 0.4887, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2479, decode.d4.loss_mask: 0.4871, decode.d4.loss_dice: 0.7043, decode.d5.loss_cls: 0.2418, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7072, decode.d6.loss_cls: 0.2330, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.6980, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4837, decode.d7.loss_dice: 0.7018, decode.d8.loss_cls: 0.2302, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.6968, loss: 15.5958 2022-05-02 02:54:37,753 - mmseg - INFO - Iter [65500/80000] lr: 2.603e-07, eta: 7:46:57, time: 1.833, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2286, decode.loss_mask: 0.4752, decode.loss_dice: 0.7230, decode.d0.loss_cls: 1.2824, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.8244, decode.d1.loss_cls: 0.3207, decode.d1.loss_mask: 0.4976, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2767, decode.d2.loss_mask: 0.4850, decode.d2.loss_dice: 0.7507, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4819, decode.d3.loss_dice: 0.7390, decode.d4.loss_cls: 0.2501, decode.d4.loss_mask: 0.4775, decode.d4.loss_dice: 0.7327, decode.d5.loss_cls: 0.2442, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2343, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2346, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7244, decode.d8.loss_cls: 0.2330, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7250, loss: 15.8385 2022-05-02 02:56:10,192 - mmseg - INFO - Iter [65550/80000] lr: 2.594e-07, eta: 7:45:20, time: 1.849, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2389, decode.loss_mask: 0.4927, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2739, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8192, decode.d1.loss_cls: 0.3356, decode.d1.loss_mask: 0.5171, decode.d1.loss_dice: 0.7751, decode.d2.loss_cls: 0.2834, decode.d2.loss_mask: 0.5054, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2679, decode.d3.loss_mask: 0.4999, decode.d3.loss_dice: 0.7361, decode.d4.loss_cls: 0.2573, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7328, decode.d5.loss_cls: 0.2481, decode.d5.loss_mask: 0.4977, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2486, decode.d6.loss_mask: 0.4946, decode.d6.loss_dice: 0.7225, decode.d7.loss_cls: 0.2414, decode.d7.loss_mask: 0.4946, decode.d7.loss_dice: 0.7215, decode.d8.loss_cls: 0.2393, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7240, loss: 16.0990 2022-05-02 02:57:41,892 - mmseg - INFO - Iter [65600/80000] lr: 2.585e-07, eta: 7:43:42, time: 1.834, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2294, decode.loss_mask: 0.4865, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.2543, decode.d0.loss_mask: 0.5274, decode.d0.loss_dice: 0.8227, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.5058, decode.d1.loss_dice: 0.7733, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.4927, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2597, decode.d3.loss_mask: 0.4899, decode.d3.loss_dice: 0.7311, decode.d4.loss_cls: 0.2424, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7314, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4902, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2376, decode.d6.loss_mask: 0.4870, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2321, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7238, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4870, decode.d8.loss_dice: 0.7248, loss: 15.8833 2022-05-02 02:59:13,523 - mmseg - INFO - Iter [65650/80000] lr: 2.576e-07, eta: 7:42:05, time: 1.834, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2341, decode.loss_mask: 0.4599, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5099, decode.d0.loss_dice: 0.8228, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7475, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.7348, decode.d4.loss_cls: 0.2524, decode.d4.loss_mask: 0.4620, decode.d4.loss_dice: 0.7290, decode.d5.loss_cls: 0.2494, decode.d5.loss_mask: 0.4624, decode.d5.loss_dice: 0.7274, decode.d6.loss_cls: 0.2392, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.7265, decode.d7.loss_cls: 0.2359, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.7246, decode.d8.loss_cls: 0.2366, decode.d8.loss_mask: 0.4596, decode.d8.loss_dice: 0.7204, loss: 15.6982 2022-05-02 03:00:44,656 - mmseg - INFO - Iter [65700/80000] lr: 2.567e-07, eta: 7:40:27, time: 1.822, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2314, decode.loss_mask: 0.4819, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.2814, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.7993, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2847, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2617, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7178, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.4874, decode.d4.loss_dice: 0.7175, decode.d5.loss_cls: 0.2398, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7120, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4830, decode.d6.loss_dice: 0.7122, decode.d7.loss_cls: 0.2317, decode.d7.loss_mask: 0.4832, decode.d7.loss_dice: 0.7092, decode.d8.loss_cls: 0.2363, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7083, loss: 15.7658 2022-05-02 03:02:20,372 - mmseg - INFO - Iter [65750/80000] lr: 2.558e-07, eta: 7:38:50, time: 1.915, data_time: 0.064, memory: 64716, decode.loss_cls: 0.2219, decode.loss_mask: 0.4757, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.2393, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.7998, decode.d1.loss_cls: 0.3099, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7548, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4859, decode.d2.loss_dice: 0.7256, decode.d3.loss_cls: 0.2486, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2350, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7192, decode.d5.loss_cls: 0.2302, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7133, decode.d6.loss_cls: 0.2294, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2250, decode.d7.loss_mask: 0.4770, decode.d7.loss_dice: 0.7056, decode.d8.loss_cls: 0.2182, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7063, loss: 15.5162 2022-05-02 03:03:52,374 - mmseg - INFO - Iter [65800/80000] lr: 2.549e-07, eta: 7:37:12, time: 1.840, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2322, decode.loss_mask: 0.4844, decode.loss_dice: 0.7096, decode.d0.loss_cls: 1.2829, decode.d0.loss_mask: 0.5382, decode.d0.loss_dice: 0.8234, decode.d1.loss_cls: 0.3258, decode.d1.loss_mask: 0.5110, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2736, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2671, decode.d3.loss_mask: 0.4881, decode.d3.loss_dice: 0.7231, decode.d4.loss_cls: 0.2493, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7254, decode.d5.loss_cls: 0.2405, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7195, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4870, decode.d6.loss_dice: 0.7161, decode.d7.loss_cls: 0.2332, decode.d7.loss_mask: 0.4878, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2320, decode.d8.loss_mask: 0.4866, decode.d8.loss_dice: 0.7144, loss: 15.8946 2022-05-02 03:05:24,405 - mmseg - INFO - Iter [65850/80000] lr: 2.540e-07, eta: 7:35:35, time: 1.839, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2172, decode.loss_mask: 0.4801, decode.loss_dice: 0.7129, decode.d0.loss_cls: 1.2299, decode.d0.loss_mask: 0.5258, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.5077, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.2610, decode.d2.loss_mask: 0.4946, decode.d2.loss_dice: 0.7308, decode.d3.loss_cls: 0.2399, decode.d3.loss_mask: 0.4906, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2248, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7187, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7200, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4843, decode.d6.loss_dice: 0.7093, decode.d7.loss_cls: 0.2116, decode.d7.loss_mask: 0.4849, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7096, loss: 15.5782 2022-05-02 03:06:55,798 - mmseg - INFO - Iter [65900/80000] lr: 2.531e-07, eta: 7:33:57, time: 1.828, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2153, decode.loss_mask: 0.4820, decode.loss_dice: 0.7071, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.5320, decode.d0.loss_dice: 0.8016, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.5054, decode.d1.loss_dice: 0.7541, decode.d2.loss_cls: 0.2607, decode.d2.loss_mask: 0.4924, decode.d2.loss_dice: 0.7274, decode.d3.loss_cls: 0.2394, decode.d3.loss_mask: 0.4859, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2267, decode.d4.loss_mask: 0.4877, decode.d4.loss_dice: 0.7184, decode.d5.loss_cls: 0.2224, decode.d5.loss_mask: 0.4867, decode.d5.loss_dice: 0.7084, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4826, decode.d6.loss_dice: 0.7079, decode.d7.loss_cls: 0.2155, decode.d7.loss_mask: 0.4846, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2144, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7040, loss: 15.5170 2022-05-02 03:08:26,304 - mmseg - INFO - Iter [65950/80000] lr: 2.522e-07, eta: 7:32:19, time: 1.811, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2266, decode.loss_mask: 0.5100, decode.loss_dice: 0.7237, decode.d0.loss_cls: 1.2388, decode.d0.loss_mask: 0.5576, decode.d0.loss_dice: 0.8204, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.7755, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7412, decode.d3.loss_cls: 0.2499, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7314, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.5150, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2296, decode.d5.loss_mask: 0.5148, decode.d5.loss_dice: 0.7324, decode.d6.loss_cls: 0.2275, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7275, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.5113, decode.d7.loss_dice: 0.7259, decode.d8.loss_cls: 0.2254, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7239, loss: 16.0787 2022-05-02 03:09:57,993 - mmseg - INFO - Saving checkpoint at 66000 iterations 2022-05-02 03:10:27,705 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 03:10:27,713 - mmseg - INFO - Iter [66000/80000] lr: 2.513e-07, eta: 7:30:48, time: 2.425, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2267, decode.loss_mask: 0.4719, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.2853, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3220, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4832, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2517, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2442, decode.d4.loss_mask: 0.4763, decode.d4.loss_dice: 0.7184, decode.d5.loss_cls: 0.2367, decode.d5.loss_mask: 0.4758, decode.d5.loss_dice: 0.7161, decode.d6.loss_cls: 0.2337, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7077, decode.d7.loss_cls: 0.2328, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.7074, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7067, loss: 15.6153 2022-05-02 03:12:00,458 - mmseg - INFO - Iter [66050/80000] lr: 2.504e-07, eta: 7:29:10, time: 1.858, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2354, decode.loss_mask: 0.4753, decode.loss_dice: 0.7078, decode.d0.loss_cls: 1.2877, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8129, decode.d1.loss_cls: 0.3247, decode.d1.loss_mask: 0.4969, decode.d1.loss_dice: 0.7620, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7363, decode.d3.loss_cls: 0.2655, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2540, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7197, decode.d5.loss_cls: 0.2476, decode.d5.loss_mask: 0.4771, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2423, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7106, decode.d7.loss_cls: 0.2407, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.7092, decode.d8.loss_cls: 0.2397, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7134, loss: 15.7787 2022-05-02 03:13:32,396 - mmseg - INFO - Iter [66100/80000] lr: 2.495e-07, eta: 7:27:33, time: 1.840, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2235, decode.loss_mask: 0.4900, decode.loss_dice: 0.7227, decode.d0.loss_cls: 1.2691, decode.d0.loss_mask: 0.5371, decode.d0.loss_dice: 0.8150, decode.d1.loss_cls: 0.3143, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7676, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7404, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7304, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4918, decode.d4.loss_dice: 0.7272, decode.d5.loss_cls: 0.2389, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7252, decode.d6.loss_cls: 0.2351, decode.d6.loss_mask: 0.4916, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2311, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2247, decode.d8.loss_mask: 0.4904, decode.d8.loss_dice: 0.7207, loss: 15.8937 2022-05-02 03:15:04,266 - mmseg - INFO - Iter [66150/80000] lr: 2.486e-07, eta: 7:25:55, time: 1.835, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2156, decode.loss_mask: 0.4594, decode.loss_dice: 0.7001, decode.d0.loss_cls: 1.2519, decode.d0.loss_mask: 0.5067, decode.d0.loss_dice: 0.8046, decode.d1.loss_cls: 0.3163, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7501, decode.d2.loss_cls: 0.2639, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7282, decode.d3.loss_cls: 0.2450, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7134, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2313, decode.d5.loss_mask: 0.4634, decode.d5.loss_dice: 0.7088, decode.d6.loss_cls: 0.2270, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.2171, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.7014, loss: 15.3359 2022-05-02 03:16:36,167 - mmseg - INFO - Iter [66200/80000] lr: 2.477e-07, eta: 7:24:18, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2293, decode.loss_mask: 0.4672, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.2811, decode.d0.loss_mask: 0.5143, decode.d0.loss_dice: 0.8133, decode.d1.loss_cls: 0.3209, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7644, decode.d2.loss_cls: 0.2737, decode.d2.loss_mask: 0.4797, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2580, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7226, decode.d4.loss_cls: 0.2449, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7236, decode.d5.loss_cls: 0.2416, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7204, decode.d6.loss_cls: 0.2294, decode.d6.loss_mask: 0.4727, decode.d6.loss_dice: 0.7151, decode.d7.loss_cls: 0.2311, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4698, decode.d8.loss_dice: 0.7151, loss: 15.6671 2022-05-02 03:18:07,375 - mmseg - INFO - Iter [66250/80000] lr: 2.468e-07, eta: 7:22:40, time: 1.823, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2184, decode.loss_mask: 0.4813, decode.loss_dice: 0.7227, decode.d0.loss_cls: 1.2663, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.8130, decode.d1.loss_cls: 0.3108, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2739, decode.d2.loss_mask: 0.4897, decode.d2.loss_dice: 0.7449, decode.d3.loss_cls: 0.2514, decode.d3.loss_mask: 0.4847, decode.d3.loss_dice: 0.7307, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7301, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4829, decode.d5.loss_dice: 0.7301, decode.d6.loss_cls: 0.2218, decode.d6.loss_mask: 0.4817, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2218, decode.d7.loss_mask: 0.4814, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.7238, loss: 15.7673 2022-05-02 03:19:39,102 - mmseg - INFO - Iter [66300/80000] lr: 2.459e-07, eta: 7:21:02, time: 1.836, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2087, decode.loss_mask: 0.4654, decode.loss_dice: 0.6889, decode.d0.loss_cls: 1.2407, decode.d0.loss_mask: 0.5080, decode.d0.loss_dice: 0.7782, decode.d1.loss_cls: 0.2995, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7354, decode.d2.loss_cls: 0.2616, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2357, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2272, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.7005, decode.d5.loss_cls: 0.2166, decode.d5.loss_mask: 0.4671, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2138, decode.d6.loss_mask: 0.4649, decode.d6.loss_dice: 0.6917, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.6863, decode.d8.loss_cls: 0.2092, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.6903, loss: 15.1338 2022-05-02 03:21:12,140 - mmseg - INFO - Iter [66350/80000] lr: 2.450e-07, eta: 7:19:25, time: 1.860, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2141, decode.loss_mask: 0.4695, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.2368, decode.d0.loss_mask: 0.5117, decode.d0.loss_dice: 0.8035, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7486, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4784, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.4748, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2318, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2302, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.7088, decode.d6.loss_cls: 0.2230, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2169, decode.d8.loss_mask: 0.4680, decode.d8.loss_dice: 0.7056, loss: 15.3779 2022-05-02 03:22:45,030 - mmseg - INFO - Iter [66400/80000] lr: 2.441e-07, eta: 7:17:48, time: 1.858, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2269, decode.loss_mask: 0.4769, decode.loss_dice: 0.7132, decode.d0.loss_cls: 1.2911, decode.d0.loss_mask: 0.5260, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3318, decode.d1.loss_mask: 0.5006, decode.d1.loss_dice: 0.7597, decode.d2.loss_cls: 0.2831, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7346, decode.d3.loss_cls: 0.2617, decode.d3.loss_mask: 0.4828, decode.d3.loss_dice: 0.7233, decode.d4.loss_cls: 0.2534, decode.d4.loss_mask: 0.4819, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7180, decode.d6.loss_cls: 0.2375, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.7168, decode.d7.loss_cls: 0.2327, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.7131, decode.d8.loss_cls: 0.2344, decode.d8.loss_mask: 0.4765, decode.d8.loss_dice: 0.7121, loss: 15.7981 2022-05-02 03:24:17,015 - mmseg - INFO - Iter [66450/80000] lr: 2.432e-07, eta: 7:16:10, time: 1.840, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2053, decode.loss_mask: 0.4999, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.2260, decode.d0.loss_mask: 0.5491, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.2952, decode.d1.loss_mask: 0.5253, decode.d1.loss_dice: 0.7563, decode.d2.loss_cls: 0.2526, decode.d2.loss_mask: 0.5122, decode.d2.loss_dice: 0.7331, decode.d3.loss_cls: 0.2340, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7131, decode.d4.loss_cls: 0.2250, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2168, decode.d5.loss_mask: 0.5043, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2092, decode.d6.loss_mask: 0.5015, decode.d6.loss_dice: 0.7052, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7064, decode.d8.loss_cls: 0.2075, decode.d8.loss_mask: 0.4984, decode.d8.loss_dice: 0.7025, loss: 15.6230 2022-05-02 03:25:48,421 - mmseg - INFO - Iter [66500/80000] lr: 2.423e-07, eta: 7:14:33, time: 1.829, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2485, decode.loss_mask: 0.4843, decode.loss_dice: 0.7260, decode.d0.loss_cls: 1.2732, decode.d0.loss_mask: 0.5262, decode.d0.loss_dice: 0.8232, decode.d1.loss_cls: 0.3385, decode.d1.loss_mask: 0.5036, decode.d1.loss_dice: 0.7773, decode.d2.loss_cls: 0.2940, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7552, decode.d3.loss_cls: 0.2722, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.2604, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7403, decode.d5.loss_cls: 0.2616, decode.d5.loss_mask: 0.4846, decode.d5.loss_dice: 0.7329, decode.d6.loss_cls: 0.2546, decode.d6.loss_mask: 0.4815, decode.d6.loss_dice: 0.7276, decode.d7.loss_cls: 0.2486, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7254, decode.d8.loss_cls: 0.2477, decode.d8.loss_mask: 0.4834, decode.d8.loss_dice: 0.7216, loss: 16.0849 2022-05-02 03:27:20,763 - mmseg - INFO - Iter [66550/80000] lr: 2.414e-07, eta: 7:12:55, time: 1.847, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2364, decode.loss_mask: 0.4743, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8223, decode.d1.loss_cls: 0.3310, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2823, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7352, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4814, decode.d3.loss_dice: 0.7217, decode.d4.loss_cls: 0.2553, decode.d4.loss_mask: 0.4822, decode.d4.loss_dice: 0.7225, decode.d5.loss_cls: 0.2460, decode.d5.loss_mask: 0.4796, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.4767, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4766, decode.d7.loss_dice: 0.7148, decode.d8.loss_cls: 0.2318, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.7153, loss: 15.7663 2022-05-02 03:28:52,641 - mmseg - INFO - Iter [66600/80000] lr: 2.405e-07, eta: 7:11:18, time: 1.838, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2356, decode.loss_mask: 0.4859, decode.loss_dice: 0.7092, decode.d0.loss_cls: 1.2848, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3364, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7584, decode.d2.loss_cls: 0.2861, decode.d2.loss_mask: 0.4993, decode.d2.loss_dice: 0.7340, decode.d3.loss_cls: 0.2686, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7171, decode.d4.loss_cls: 0.2614, decode.d4.loss_mask: 0.4878, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2454, decode.d5.loss_mask: 0.4901, decode.d5.loss_dice: 0.7200, decode.d6.loss_cls: 0.2411, decode.d6.loss_mask: 0.4891, decode.d6.loss_dice: 0.7142, decode.d7.loss_cls: 0.2380, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.7094, decode.d8.loss_cls: 0.2380, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7126, loss: 15.8863 2022-05-02 03:30:25,117 - mmseg - INFO - Iter [66650/80000] lr: 2.396e-07, eta: 7:09:40, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2418, decode.loss_mask: 0.4564, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.2761, decode.d0.loss_mask: 0.4992, decode.d0.loss_dice: 0.8083, decode.d1.loss_cls: 0.3330, decode.d1.loss_mask: 0.4804, decode.d1.loss_dice: 0.7531, decode.d2.loss_cls: 0.2914, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2694, decode.d3.loss_mask: 0.4646, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2601, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.7093, decode.d5.loss_cls: 0.2560, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2470, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.7037, decode.d7.loss_cls: 0.2460, decode.d7.loss_mask: 0.4574, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2465, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.7035, loss: 15.5557 2022-05-02 03:31:56,296 - mmseg - INFO - Iter [66700/80000] lr: 2.387e-07, eta: 7:08:03, time: 1.823, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2304, decode.loss_mask: 0.4658, decode.loss_dice: 0.7014, decode.d0.loss_cls: 1.2507, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.3167, decode.d1.loss_mask: 0.4893, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2729, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.7180, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4718, decode.d3.loss_dice: 0.7091, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2414, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.6964, decode.d7.loss_cls: 0.2375, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.2348, decode.d8.loss_mask: 0.4657, decode.d8.loss_dice: 0.6962, loss: 15.4422 2022-05-02 03:33:27,636 - mmseg - INFO - Iter [66750/80000] lr: 2.378e-07, eta: 7:06:25, time: 1.827, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2486, decode.loss_mask: 0.4775, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2468, decode.d0.loss_mask: 0.5215, decode.d0.loss_dice: 0.8173, decode.d1.loss_cls: 0.3276, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7746, decode.d2.loss_cls: 0.2930, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2787, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.7284, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2590, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7258, decode.d6.loss_cls: 0.2552, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2509, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.7184, decode.d8.loss_cls: 0.2459, decode.d8.loss_mask: 0.4752, decode.d8.loss_dice: 0.7197, loss: 15.9163 2022-05-02 03:34:59,311 - mmseg - INFO - Iter [66800/80000] lr: 2.369e-07, eta: 7:04:48, time: 1.833, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2229, decode.loss_mask: 0.4881, decode.loss_dice: 0.7338, decode.d0.loss_cls: 1.2577, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8331, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.5077, decode.d1.loss_dice: 0.7849, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7618, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7428, decode.d5.loss_cls: 0.2342, decode.d5.loss_mask: 0.4921, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2241, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2243, decode.d7.loss_mask: 0.4885, decode.d7.loss_dice: 0.7366, decode.d8.loss_cls: 0.2205, decode.d8.loss_mask: 0.4888, decode.d8.loss_dice: 0.7370, loss: 15.9672 2022-05-02 03:36:30,729 - mmseg - INFO - Iter [66850/80000] lr: 2.360e-07, eta: 7:03:10, time: 1.829, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2305, decode.loss_mask: 0.4860, decode.loss_dice: 0.7211, decode.d0.loss_cls: 1.2475, decode.d0.loss_mask: 0.5352, decode.d0.loss_dice: 0.8214, decode.d1.loss_cls: 0.3154, decode.d1.loss_mask: 0.5063, decode.d1.loss_dice: 0.7665, decode.d2.loss_cls: 0.2728, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7390, decode.d3.loss_cls: 0.2534, decode.d3.loss_mask: 0.4929, decode.d3.loss_dice: 0.7357, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7288, decode.d5.loss_cls: 0.2400, decode.d5.loss_mask: 0.4897, decode.d5.loss_dice: 0.7298, decode.d6.loss_cls: 0.2323, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2329, decode.d7.loss_mask: 0.4868, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2318, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.7229, loss: 15.8641 2022-05-02 03:38:01,792 - mmseg - INFO - Iter [66900/80000] lr: 2.351e-07, eta: 7:01:32, time: 1.822, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2529, decode.loss_mask: 0.4813, decode.loss_dice: 0.7141, decode.d0.loss_cls: 1.2857, decode.d0.loss_mask: 0.5315, decode.d0.loss_dice: 0.8192, decode.d1.loss_cls: 0.3442, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7691, decode.d2.loss_cls: 0.3017, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7399, decode.d3.loss_cls: 0.2788, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2677, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2601, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7248, decode.d6.loss_cls: 0.2555, decode.d6.loss_mask: 0.4833, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2550, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2528, decode.d8.loss_mask: 0.4810, decode.d8.loss_dice: 0.7155, loss: 16.0543 2022-05-02 03:39:33,328 - mmseg - INFO - Iter [66950/80000] lr: 2.342e-07, eta: 6:59:55, time: 1.831, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2304, decode.loss_mask: 0.4838, decode.loss_dice: 0.7190, decode.d0.loss_cls: 1.2579, decode.d0.loss_mask: 0.5295, decode.d0.loss_dice: 0.8218, decode.d1.loss_cls: 0.3357, decode.d1.loss_mask: 0.5089, decode.d1.loss_dice: 0.7725, decode.d2.loss_cls: 0.2866, decode.d2.loss_mask: 0.4985, decode.d2.loss_dice: 0.7459, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7318, decode.d4.loss_cls: 0.2534, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7315, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4864, decode.d5.loss_dice: 0.7257, decode.d6.loss_cls: 0.2323, decode.d6.loss_mask: 0.4865, decode.d6.loss_dice: 0.7238, decode.d7.loss_cls: 0.2285, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7267, loss: 15.9259 2022-05-02 03:41:06,585 - mmseg - INFO - Saving checkpoint at 67000 iterations 2022-05-02 03:41:24,473 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 03:41:24,518 - mmseg - INFO - Iter [67000/80000] lr: 2.333e-07, eta: 6:58:21, time: 2.219, data_time: 0.063, memory: 64716, decode.loss_cls: 0.2465, decode.loss_mask: 0.4690, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.2811, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.8103, decode.d1.loss_cls: 0.3364, decode.d1.loss_mask: 0.4906, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.2928, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2752, decode.d3.loss_mask: 0.4777, decode.d3.loss_dice: 0.7176, decode.d4.loss_cls: 0.2631, decode.d4.loss_mask: 0.4750, decode.d4.loss_dice: 0.7174, decode.d5.loss_cls: 0.2517, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7137, decode.d6.loss_cls: 0.2544, decode.d6.loss_mask: 0.4711, decode.d6.loss_dice: 0.7043, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7036, decode.d8.loss_cls: 0.2433, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.7050, loss: 15.7466 2022-05-02 03:42:55,968 - mmseg - INFO - Iter [67050/80000] lr: 2.324e-07, eta: 6:56:44, time: 1.834, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2346, decode.loss_mask: 0.4710, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.2792, decode.d0.loss_mask: 0.5205, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3262, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7594, decode.d2.loss_cls: 0.2795, decode.d2.loss_mask: 0.4816, decode.d2.loss_dice: 0.7336, decode.d3.loss_cls: 0.2612, decode.d3.loss_mask: 0.4774, decode.d3.loss_dice: 0.7148, decode.d4.loss_cls: 0.2541, decode.d4.loss_mask: 0.4753, decode.d4.loss_dice: 0.7095, decode.d5.loss_cls: 0.2493, decode.d5.loss_mask: 0.4735, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2381, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7058, decode.d7.loss_cls: 0.2431, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7028, decode.d8.loss_cls: 0.2369, decode.d8.loss_mask: 0.4707, decode.d8.loss_dice: 0.7075, loss: 15.6698 2022-05-02 03:44:28,343 - mmseg - INFO - Iter [67100/80000] lr: 2.315e-07, eta: 6:55:06, time: 1.846, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2160, decode.loss_mask: 0.4864, decode.loss_dice: 0.7093, decode.d0.loss_cls: 1.2501, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8079, decode.d1.loss_cls: 0.3020, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2575, decode.d2.loss_mask: 0.5002, decode.d2.loss_dice: 0.7327, decode.d3.loss_cls: 0.2384, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7233, decode.d4.loss_cls: 0.2370, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7155, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2168, decode.d7.loss_mask: 0.4881, decode.d7.loss_dice: 0.7129, decode.d8.loss_cls: 0.2148, decode.d8.loss_mask: 0.4863, decode.d8.loss_dice: 0.7107, loss: 15.6535 2022-05-02 03:45:58,908 - mmseg - INFO - Iter [67150/80000] lr: 2.306e-07, eta: 6:53:29, time: 1.813, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2316, decode.loss_mask: 0.4687, decode.loss_dice: 0.7134, decode.d0.loss_cls: 1.2859, decode.d0.loss_mask: 0.5190, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3209, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7706, decode.d2.loss_cls: 0.2813, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2588, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7277, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4733, decode.d4.loss_dice: 0.7240, decode.d5.loss_cls: 0.2398, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2338, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.7188, decode.d8.loss_cls: 0.2320, decode.d8.loss_mask: 0.4703, decode.d8.loss_dice: 0.7174, loss: 15.7312 2022-05-02 03:47:30,954 - mmseg - INFO - Iter [67200/80000] lr: 2.297e-07, eta: 6:51:51, time: 1.840, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2216, decode.loss_mask: 0.4669, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.2535, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.7982, decode.d1.loss_cls: 0.3075, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7500, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4822, decode.d2.loss_dice: 0.7197, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4764, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4740, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7083, decode.d6.loss_cls: 0.2212, decode.d6.loss_mask: 0.4707, decode.d6.loss_dice: 0.6969, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4680, decode.d8.loss_dice: 0.6941, loss: 15.3844 2022-05-02 03:49:02,444 - mmseg - INFO - Iter [67250/80000] lr: 2.288e-07, eta: 6:50:14, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2202, decode.loss_mask: 0.4798, decode.loss_dice: 0.7134, decode.d0.loss_cls: 1.2399, decode.d0.loss_mask: 0.5232, decode.d0.loss_dice: 0.8060, decode.d1.loss_cls: 0.3073, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7621, decode.d2.loss_cls: 0.2683, decode.d2.loss_mask: 0.4903, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2489, decode.d3.loss_mask: 0.4850, decode.d3.loss_dice: 0.7303, decode.d4.loss_cls: 0.2369, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7259, decode.d5.loss_cls: 0.2323, decode.d5.loss_mask: 0.4819, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2280, decode.d6.loss_mask: 0.4807, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2258, decode.d7.loss_mask: 0.4798, decode.d7.loss_dice: 0.7197, decode.d8.loss_cls: 0.2233, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7156, loss: 15.6671 2022-05-02 03:50:33,355 - mmseg - INFO - Iter [67300/80000] lr: 2.280e-07, eta: 6:48:36, time: 1.818, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2254, decode.loss_mask: 0.4791, decode.loss_dice: 0.7163, decode.d0.loss_cls: 1.2579, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8202, decode.d1.loss_cls: 0.3153, decode.d1.loss_mask: 0.4998, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2762, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7384, decode.d3.loss_cls: 0.2532, decode.d3.loss_mask: 0.4834, decode.d3.loss_dice: 0.7279, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4826, decode.d4.loss_dice: 0.7307, decode.d5.loss_cls: 0.2388, decode.d5.loss_mask: 0.4800, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2326, decode.d6.loss_mask: 0.4793, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2283, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.7203, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7163, loss: 15.7556 2022-05-02 03:52:04,112 - mmseg - INFO - Iter [67350/80000] lr: 2.271e-07, eta: 6:46:59, time: 1.815, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2324, decode.loss_mask: 0.4793, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.2665, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.8174, decode.d1.loss_cls: 0.3221, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7699, decode.d2.loss_cls: 0.2779, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.2613, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7368, decode.d4.loss_cls: 0.2493, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7346, decode.d5.loss_cls: 0.2415, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7353, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7247, decode.d7.loss_cls: 0.2322, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.7280, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4789, decode.d8.loss_dice: 0.7254, loss: 15.8794 2022-05-02 03:53:36,073 - mmseg - INFO - Iter [67400/80000] lr: 2.262e-07, eta: 6:45:21, time: 1.838, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2115, decode.loss_mask: 0.4832, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.2252, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.7964, decode.d1.loss_cls: 0.3077, decode.d1.loss_mask: 0.5003, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4904, decode.d2.loss_dice: 0.7224, decode.d3.loss_cls: 0.2432, decode.d3.loss_mask: 0.4866, decode.d3.loss_dice: 0.7101, decode.d4.loss_cls: 0.2309, decode.d4.loss_mask: 0.4860, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2281, decode.d5.loss_mask: 0.4850, decode.d5.loss_dice: 0.7072, decode.d6.loss_cls: 0.2194, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7039, decode.d7.loss_cls: 0.2162, decode.d7.loss_mask: 0.4827, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2118, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7054, loss: 15.4782 2022-05-02 03:55:07,574 - mmseg - INFO - Iter [67450/80000] lr: 2.253e-07, eta: 6:43:44, time: 1.830, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2169, decode.loss_mask: 0.4846, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.2490, decode.d0.loss_mask: 0.5237, decode.d0.loss_dice: 0.7890, decode.d1.loss_cls: 0.3061, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7447, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7198, decode.d3.loss_cls: 0.2403, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7071, decode.d4.loss_cls: 0.2356, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7032, decode.d5.loss_cls: 0.2282, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7061, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.6995, decode.d7.loss_cls: 0.2201, decode.d7.loss_mask: 0.4830, decode.d7.loss_dice: 0.6966, decode.d8.loss_cls: 0.2135, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.6939, loss: 15.4818 2022-05-02 03:56:39,662 - mmseg - INFO - Iter [67500/80000] lr: 2.244e-07, eta: 6:42:06, time: 1.842, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2109, decode.loss_mask: 0.4894, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.2274, decode.d0.loss_mask: 0.5371, decode.d0.loss_dice: 0.7838, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.5092, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7044, decode.d3.loss_cls: 0.2413, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2275, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4901, decode.d5.loss_dice: 0.6937, decode.d6.loss_cls: 0.2137, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.6929, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4899, decode.d7.loss_dice: 0.6913, decode.d8.loss_cls: 0.2152, decode.d8.loss_mask: 0.4877, decode.d8.loss_dice: 0.6877, loss: 15.3767 2022-05-02 03:58:11,545 - mmseg - INFO - Iter [67550/80000] lr: 2.235e-07, eta: 6:40:29, time: 1.838, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2150, decode.loss_mask: 0.4792, decode.loss_dice: 0.7072, decode.d0.loss_cls: 1.2430, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.8075, decode.d1.loss_cls: 0.3169, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7569, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7199, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7177, decode.d5.loss_cls: 0.2277, decode.d5.loss_mask: 0.4833, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2228, decode.d6.loss_mask: 0.4810, decode.d6.loss_dice: 0.7087, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2166, decode.d8.loss_mask: 0.4791, decode.d8.loss_dice: 0.7109, loss: 15.5854 2022-05-02 03:59:43,130 - mmseg - INFO - Iter [67600/80000] lr: 2.226e-07, eta: 6:38:52, time: 1.831, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2083, decode.loss_mask: 0.4577, decode.loss_dice: 0.7126, decode.d0.loss_cls: 1.2318, decode.d0.loss_mask: 0.5002, decode.d0.loss_dice: 0.8085, decode.d1.loss_cls: 0.2920, decode.d1.loss_mask: 0.4818, decode.d1.loss_dice: 0.7595, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4613, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2270, decode.d4.loss_mask: 0.4613, decode.d4.loss_dice: 0.7225, decode.d5.loss_cls: 0.2171, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.7150, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4570, decode.d6.loss_dice: 0.7097, decode.d7.loss_cls: 0.2110, decode.d7.loss_mask: 0.4574, decode.d7.loss_dice: 0.7117, decode.d8.loss_cls: 0.2130, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.7083, loss: 15.2711 2022-05-02 04:01:14,453 - mmseg - INFO - Iter [67650/80000] lr: 2.217e-07, eta: 6:37:14, time: 1.825, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2466, decode.loss_mask: 0.4718, decode.loss_dice: 0.7161, decode.d0.loss_cls: 1.2848, decode.d0.loss_mask: 0.5203, decode.d0.loss_dice: 0.8124, decode.d1.loss_cls: 0.3386, decode.d1.loss_mask: 0.4964, decode.d1.loss_dice: 0.7632, decode.d2.loss_cls: 0.2824, decode.d2.loss_mask: 0.4852, decode.d2.loss_dice: 0.7405, decode.d3.loss_cls: 0.2649, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7220, decode.d4.loss_cls: 0.2557, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7195, decode.d5.loss_cls: 0.2473, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2447, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2432, decode.d7.loss_mask: 0.4720, decode.d7.loss_dice: 0.7138, decode.d8.loss_cls: 0.2413, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7104, loss: 15.7897 2022-05-02 04:02:46,752 - mmseg - INFO - Iter [67700/80000] lr: 2.208e-07, eta: 6:35:37, time: 1.847, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2395, decode.loss_mask: 0.4524, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2498, decode.d0.loss_mask: 0.5039, decode.d0.loss_dice: 0.8045, decode.d1.loss_cls: 0.3285, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2833, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.7250, decode.d3.loss_cls: 0.2628, decode.d3.loss_mask: 0.4610, decode.d3.loss_dice: 0.7111, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4598, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2448, decode.d6.loss_mask: 0.4544, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.7029, decode.d8.loss_cls: 0.2406, decode.d8.loss_mask: 0.4531, decode.d8.loss_dice: 0.7040, loss: 15.4588 2022-05-02 04:04:17,783 - mmseg - INFO - Iter [67750/80000] lr: 2.199e-07, eta: 6:34:00, time: 1.822, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2417, decode.loss_mask: 0.4790, decode.loss_dice: 0.7110, decode.d0.loss_cls: 1.2799, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8175, decode.d1.loss_cls: 0.3326, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7642, decode.d2.loss_cls: 0.2933, decode.d2.loss_mask: 0.4858, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2750, decode.d3.loss_mask: 0.4828, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2615, decode.d4.loss_mask: 0.4832, decode.d4.loss_dice: 0.7167, decode.d5.loss_cls: 0.2569, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2494, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2469, decode.d7.loss_mask: 0.4779, decode.d7.loss_dice: 0.7144, decode.d8.loss_cls: 0.2477, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7135, loss: 15.8820 2022-05-02 04:05:49,007 - mmseg - INFO - Iter [67800/80000] lr: 2.190e-07, eta: 6:32:22, time: 1.824, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2197, decode.loss_mask: 0.4845, decode.loss_dice: 0.7095, decode.d0.loss_cls: 1.2378, decode.d0.loss_mask: 0.5335, decode.d0.loss_dice: 0.8108, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.5084, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2657, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7356, decode.d3.loss_cls: 0.2442, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7182, decode.d4.loss_cls: 0.2354, decode.d4.loss_mask: 0.4881, decode.d4.loss_dice: 0.7175, decode.d5.loss_cls: 0.2320, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7168, decode.d6.loss_cls: 0.2259, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.7136, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4846, decode.d7.loss_dice: 0.7129, decode.d8.loss_cls: 0.2208, decode.d8.loss_mask: 0.4842, decode.d8.loss_dice: 0.7125, loss: 15.6660 2022-05-02 04:07:19,982 - mmseg - INFO - Iter [67850/80000] lr: 2.181e-07, eta: 6:30:45, time: 1.820, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2221, decode.loss_mask: 0.4783, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.2288, decode.d0.loss_mask: 0.5258, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.3025, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7454, decode.d2.loss_cls: 0.2607, decode.d2.loss_mask: 0.4855, decode.d2.loss_dice: 0.7192, decode.d3.loss_cls: 0.2422, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7055, decode.d4.loss_cls: 0.2387, decode.d4.loss_mask: 0.4822, decode.d4.loss_dice: 0.7033, decode.d5.loss_cls: 0.2266, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.7029, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4802, decode.d6.loss_dice: 0.6934, decode.d7.loss_cls: 0.2267, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.6930, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4780, decode.d8.loss_dice: 0.6932, loss: 15.4031 2022-05-02 04:08:52,088 - mmseg - INFO - Iter [67900/80000] lr: 2.172e-07, eta: 6:29:07, time: 1.841, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2433, decode.loss_mask: 0.4700, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.2976, decode.d0.loss_mask: 0.5192, decode.d0.loss_dice: 0.8183, decode.d1.loss_cls: 0.3399, decode.d1.loss_mask: 0.4949, decode.d1.loss_dice: 0.7650, decode.d2.loss_cls: 0.3000, decode.d2.loss_mask: 0.4777, decode.d2.loss_dice: 0.7335, decode.d3.loss_cls: 0.2768, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7266, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.7232, decode.d5.loss_cls: 0.2557, decode.d5.loss_mask: 0.4706, decode.d5.loss_dice: 0.7176, decode.d6.loss_cls: 0.2465, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.7134, decode.d7.loss_cls: 0.2423, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2424, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.7158, loss: 15.8476 2022-05-02 04:10:23,827 - mmseg - INFO - Iter [67950/80000] lr: 2.163e-07, eta: 6:27:30, time: 1.835, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2364, decode.loss_mask: 0.4637, decode.loss_dice: 0.6827, decode.d0.loss_cls: 1.2310, decode.d0.loss_mask: 0.5082, decode.d0.loss_dice: 0.7826, decode.d1.loss_cls: 0.3178, decode.d1.loss_mask: 0.4876, decode.d1.loss_dice: 0.7376, decode.d2.loss_cls: 0.2804, decode.d2.loss_mask: 0.4738, decode.d2.loss_dice: 0.7090, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.6993, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.4657, decode.d4.loss_dice: 0.6976, decode.d5.loss_cls: 0.2476, decode.d5.loss_mask: 0.4670, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2460, decode.d6.loss_mask: 0.4641, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.2386, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.6926, decode.d8.loss_cls: 0.2353, decode.d8.loss_mask: 0.4648, decode.d8.loss_dice: 0.6931, loss: 15.3471 2022-05-02 04:11:54,942 - mmseg - INFO - Saving checkpoint at 68000 iterations 2022-05-02 04:12:13,232 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 04:12:13,233 - mmseg - INFO - Iter [68000/80000] lr: 2.154e-07, eta: 6:25:56, time: 2.189, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2373, decode.loss_mask: 0.4763, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2567, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3187, decode.d1.loss_mask: 0.5049, decode.d1.loss_dice: 0.7582, decode.d2.loss_cls: 0.2809, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7292, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4847, decode.d3.loss_dice: 0.7186, decode.d4.loss_cls: 0.2490, decode.d4.loss_mask: 0.4834, decode.d4.loss_dice: 0.7164, decode.d5.loss_cls: 0.2436, decode.d5.loss_mask: 0.4816, decode.d5.loss_dice: 0.7112, decode.d6.loss_cls: 0.2341, decode.d6.loss_mask: 0.4798, decode.d6.loss_dice: 0.7095, decode.d7.loss_cls: 0.2338, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7072, decode.d8.loss_cls: 0.2377, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7069, loss: 15.6981 2022-05-02 04:13:45,393 - mmseg - INFO - Iter [68050/80000] lr: 2.145e-07, eta: 6:24:19, time: 1.843, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2313, decode.loss_mask: 0.4577, decode.loss_dice: 0.7055, decode.d0.loss_cls: 1.2375, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3190, decode.d1.loss_mask: 0.4749, decode.d1.loss_dice: 0.7515, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4696, decode.d2.loss_dice: 0.7298, decode.d3.loss_cls: 0.2585, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2383, decode.d5.loss_mask: 0.4619, decode.d5.loss_dice: 0.7116, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.7054, decode.d7.loss_cls: 0.2353, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4570, decode.d8.loss_dice: 0.7077, loss: 15.4161 2022-05-02 04:15:16,922 - mmseg - INFO - Iter [68100/80000] lr: 2.136e-07, eta: 6:22:41, time: 1.830, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2351, decode.loss_mask: 0.4909, decode.loss_dice: 0.7079, decode.d0.loss_cls: 1.2428, decode.d0.loss_mask: 0.5382, decode.d0.loss_dice: 0.7971, decode.d1.loss_cls: 0.3225, decode.d1.loss_mask: 0.5143, decode.d1.loss_dice: 0.7624, decode.d2.loss_cls: 0.2833, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7278, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4992, decode.d3.loss_dice: 0.7182, decode.d4.loss_cls: 0.2523, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7127, decode.d5.loss_cls: 0.2494, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7113, decode.d6.loss_cls: 0.2416, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.4888, decode.d7.loss_dice: 0.7083, decode.d8.loss_cls: 0.2353, decode.d8.loss_mask: 0.4908, decode.d8.loss_dice: 0.7085, loss: 15.8301 2022-05-02 04:16:47,653 - mmseg - INFO - Iter [68150/80000] lr: 2.127e-07, eta: 6:21:04, time: 1.815, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2286, decode.loss_mask: 0.4776, decode.loss_dice: 0.7109, decode.d0.loss_cls: 1.2738, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3134, decode.d1.loss_mask: 0.5002, decode.d1.loss_dice: 0.7619, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.4919, decode.d2.loss_dice: 0.7347, decode.d3.loss_cls: 0.2574, decode.d3.loss_mask: 0.4835, decode.d3.loss_dice: 0.7216, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7196, decode.d5.loss_cls: 0.2363, decode.d5.loss_mask: 0.4846, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2338, decode.d6.loss_mask: 0.4803, decode.d6.loss_dice: 0.7126, decode.d7.loss_cls: 0.2301, decode.d7.loss_mask: 0.4789, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7119, loss: 15.6966 2022-05-02 04:18:19,154 - mmseg - INFO - Iter [68200/80000] lr: 2.118e-07, eta: 6:19:26, time: 1.830, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2472, decode.loss_mask: 0.4626, decode.loss_dice: 0.7173, decode.d0.loss_cls: 1.3122, decode.d0.loss_mask: 0.5099, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3395, decode.d1.loss_mask: 0.4838, decode.d1.loss_dice: 0.7705, decode.d2.loss_cls: 0.3024, decode.d2.loss_mask: 0.4745, decode.d2.loss_dice: 0.7396, decode.d3.loss_cls: 0.2791, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.7290, decode.d4.loss_cls: 0.2696, decode.d4.loss_mask: 0.4677, decode.d4.loss_dice: 0.7295, decode.d5.loss_cls: 0.2603, decode.d5.loss_mask: 0.4664, decode.d5.loss_dice: 0.7277, decode.d6.loss_cls: 0.2532, decode.d6.loss_mask: 0.4659, decode.d6.loss_dice: 0.7192, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.7193, decode.d8.loss_cls: 0.2477, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.7197, loss: 15.8728 2022-05-02 04:19:50,096 - mmseg - INFO - Iter [68250/80000] lr: 2.109e-07, eta: 6:17:49, time: 1.819, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2031, decode.loss_mask: 0.4779, decode.loss_dice: 0.7132, decode.d0.loss_cls: 1.2327, decode.d0.loss_mask: 0.5229, decode.d0.loss_dice: 0.8099, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7554, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2345, decode.d3.loss_mask: 0.4818, decode.d3.loss_dice: 0.7219, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4790, decode.d4.loss_dice: 0.7208, decode.d5.loss_cls: 0.2183, decode.d5.loss_mask: 0.4800, decode.d5.loss_dice: 0.7162, decode.d6.loss_cls: 0.2097, decode.d6.loss_mask: 0.4795, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2034, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7174, decode.d8.loss_cls: 0.2001, decode.d8.loss_mask: 0.4789, decode.d8.loss_dice: 0.7152, loss: 15.4591 2022-05-02 04:21:22,659 - mmseg - INFO - Iter [68300/80000] lr: 2.100e-07, eta: 6:16:12, time: 1.852, data_time: 0.059, memory: 64716, decode.loss_cls: 0.2189, decode.loss_mask: 0.4803, decode.loss_dice: 0.6994, decode.d0.loss_cls: 1.2736, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.3100, decode.d1.loss_mask: 0.5027, decode.d1.loss_dice: 0.7445, decode.d2.loss_cls: 0.2710, decode.d2.loss_mask: 0.4877, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2499, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7034, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4830, decode.d5.loss_dice: 0.7033, decode.d6.loss_cls: 0.2285, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.6948, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4800, decode.d7.loss_dice: 0.6992, decode.d8.loss_cls: 0.2232, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.6947, loss: 15.5090 2022-05-02 04:22:53,121 - mmseg - INFO - Iter [68350/80000] lr: 2.091e-07, eta: 6:14:34, time: 1.809, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2266, decode.loss_mask: 0.4508, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.3047, decode.d0.loss_mask: 0.4949, decode.d0.loss_dice: 0.7975, decode.d1.loss_cls: 0.3209, decode.d1.loss_mask: 0.4784, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2769, decode.d2.loss_mask: 0.4660, decode.d2.loss_dice: 0.7224, decode.d3.loss_cls: 0.2551, decode.d3.loss_mask: 0.4621, decode.d3.loss_dice: 0.7136, decode.d4.loss_cls: 0.2452, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.7139, decode.d5.loss_cls: 0.2364, decode.d5.loss_mask: 0.4565, decode.d5.loss_dice: 0.7127, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.4539, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4529, decode.d7.loss_dice: 0.6998, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.7031, loss: 15.4097 2022-05-02 04:24:24,235 - mmseg - INFO - Iter [68400/80000] lr: 2.082e-07, eta: 6:12:57, time: 1.822, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2087, decode.loss_mask: 0.4557, decode.loss_dice: 0.7096, decode.d0.loss_cls: 1.2327, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.8101, decode.d1.loss_cls: 0.2993, decode.d1.loss_mask: 0.4829, decode.d1.loss_dice: 0.7622, decode.d2.loss_cls: 0.2618, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7362, decode.d3.loss_cls: 0.2411, decode.d3.loss_mask: 0.4647, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2300, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2202, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2206, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.7112, decode.d7.loss_cls: 0.2159, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.7062, decode.d8.loss_cls: 0.2163, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.7104, loss: 15.3216 2022-05-02 04:25:55,052 - mmseg - INFO - Iter [68450/80000] lr: 2.073e-07, eta: 6:11:20, time: 1.816, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2261, decode.loss_mask: 0.5031, decode.loss_dice: 0.7170, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.5427, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3205, decode.d1.loss_mask: 0.5201, decode.d1.loss_dice: 0.7640, decode.d2.loss_cls: 0.2723, decode.d2.loss_mask: 0.5141, decode.d2.loss_dice: 0.7440, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.5077, decode.d3.loss_dice: 0.7262, decode.d4.loss_cls: 0.2463, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2356, decode.d5.loss_mask: 0.5060, decode.d5.loss_dice: 0.7253, decode.d6.loss_cls: 0.2304, decode.d6.loss_mask: 0.5032, decode.d6.loss_dice: 0.7206, decode.d7.loss_cls: 0.2288, decode.d7.loss_mask: 0.5034, decode.d7.loss_dice: 0.7194, decode.d8.loss_cls: 0.2278, decode.d8.loss_mask: 0.5036, decode.d8.loss_dice: 0.7195, loss: 15.9792 2022-05-02 04:27:26,130 - mmseg - INFO - Iter [68500/80000] lr: 2.064e-07, eta: 6:09:42, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2522, decode.loss_mask: 0.4816, decode.loss_dice: 0.7182, decode.d0.loss_cls: 1.3011, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8261, decode.d1.loss_cls: 0.3465, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7738, decode.d2.loss_cls: 0.2997, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7459, decode.d3.loss_cls: 0.2756, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7316, decode.d4.loss_cls: 0.2694, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.7302, decode.d5.loss_cls: 0.2581, decode.d5.loss_mask: 0.4837, decode.d5.loss_dice: 0.7253, decode.d6.loss_cls: 0.2556, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2580, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2549, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7158, loss: 16.0962 2022-05-02 04:28:57,403 - mmseg - INFO - Iter [68550/80000] lr: 2.055e-07, eta: 6:08:05, time: 1.825, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2286, decode.loss_mask: 0.4723, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2599, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.7998, decode.d1.loss_cls: 0.3154, decode.d1.loss_mask: 0.4955, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2688, decode.d2.loss_mask: 0.4835, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7153, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4774, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2411, decode.d5.loss_mask: 0.4747, decode.d5.loss_dice: 0.7083, decode.d6.loss_cls: 0.2294, decode.d6.loss_mask: 0.4744, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2273, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7039, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.7063, loss: 15.5517 2022-05-02 04:30:29,523 - mmseg - INFO - Iter [68600/80000] lr: 2.046e-07, eta: 6:06:28, time: 1.843, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2114, decode.loss_mask: 0.4713, decode.loss_dice: 0.7014, decode.d0.loss_cls: 1.1938, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7863, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.4917, decode.d1.loss_dice: 0.7490, decode.d2.loss_cls: 0.2564, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2397, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7149, decode.d4.loss_cls: 0.2306, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2207, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4726, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.2076, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.2096, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.7012, loss: 15.2900 2022-05-02 04:32:00,347 - mmseg - INFO - Iter [68650/80000] lr: 2.037e-07, eta: 6:04:50, time: 1.818, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2083, decode.loss_mask: 0.4784, decode.loss_dice: 0.7143, decode.d0.loss_cls: 1.2398, decode.d0.loss_mask: 0.5192, decode.d0.loss_dice: 0.8079, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.4994, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2587, decode.d2.loss_mask: 0.4891, decode.d2.loss_dice: 0.7293, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7190, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4809, decode.d4.loss_dice: 0.7194, decode.d5.loss_cls: 0.2231, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2209, decode.d6.loss_mask: 0.4772, decode.d6.loss_dice: 0.7128, decode.d7.loss_cls: 0.2140, decode.d7.loss_mask: 0.4792, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2063, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7125, loss: 15.5093 2022-05-02 04:33:31,674 - mmseg - INFO - Iter [68700/80000] lr: 2.028e-07, eta: 6:03:13, time: 1.826, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2280, decode.loss_mask: 0.4573, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2515, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7977, decode.d1.loss_cls: 0.3205, decode.d1.loss_mask: 0.4757, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2781, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7167, decode.d3.loss_cls: 0.2572, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.7082, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2382, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.6977, decode.d7.loss_cls: 0.2322, decode.d7.loss_mask: 0.4573, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.6975, loss: 15.3401 2022-05-02 04:35:04,456 - mmseg - INFO - Iter [68750/80000] lr: 2.019e-07, eta: 6:01:36, time: 1.854, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2215, decode.loss_mask: 0.4861, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.2408, decode.d0.loss_mask: 0.5288, decode.d0.loss_dice: 0.8082, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.5128, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2766, decode.d2.loss_mask: 0.4990, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2509, decode.d3.loss_mask: 0.4947, decode.d3.loss_dice: 0.7191, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7181, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7157, decode.d6.loss_cls: 0.2260, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7094, decode.d7.loss_cls: 0.2234, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7070, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7073, loss: 15.6911 2022-05-02 04:36:35,199 - mmseg - INFO - Iter [68800/80000] lr: 2.010e-07, eta: 5:59:59, time: 1.815, data_time: 0.019, memory: 64716, decode.loss_cls: 0.2303, decode.loss_mask: 0.4546, decode.loss_dice: 0.6882, decode.d0.loss_cls: 1.2757, decode.d0.loss_mask: 0.5005, decode.d0.loss_dice: 0.7932, decode.d1.loss_cls: 0.3219, decode.d1.loss_mask: 0.4828, decode.d1.loss_dice: 0.7381, decode.d2.loss_cls: 0.2782, decode.d2.loss_mask: 0.4658, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2603, decode.d3.loss_mask: 0.4609, decode.d3.loss_dice: 0.6984, decode.d4.loss_cls: 0.2524, decode.d4.loss_mask: 0.4585, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.6964, decode.d6.loss_cls: 0.2392, decode.d6.loss_mask: 0.4561, decode.d6.loss_dice: 0.6887, decode.d7.loss_cls: 0.2356, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.2352, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6876, loss: 15.3047 2022-05-02 04:38:07,912 - mmseg - INFO - Iter [68850/80000] lr: 2.001e-07, eta: 5:58:22, time: 1.856, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2395, decode.loss_mask: 0.4827, decode.loss_dice: 0.7152, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.5275, decode.d0.loss_dice: 0.8193, decode.d1.loss_cls: 0.3390, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7675, decode.d2.loss_cls: 0.2935, decode.d2.loss_mask: 0.4903, decode.d2.loss_dice: 0.7416, decode.d3.loss_cls: 0.2723, decode.d3.loss_mask: 0.4879, decode.d3.loss_dice: 0.7268, decode.d4.loss_cls: 0.2612, decode.d4.loss_mask: 0.4873, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2572, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2514, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2414, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2424, decode.d8.loss_mask: 0.4815, decode.d8.loss_dice: 0.7154, loss: 15.9504 2022-05-02 04:39:41,071 - mmseg - INFO - Iter [68900/80000] lr: 1.992e-07, eta: 5:56:45, time: 1.862, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2236, decode.loss_mask: 0.4674, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2531, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.7933, decode.d1.loss_cls: 0.3148, decode.d1.loss_mask: 0.4901, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4828, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2483, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7080, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4714, decode.d4.loss_dice: 0.7095, decode.d5.loss_cls: 0.2335, decode.d5.loss_mask: 0.4706, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.2305, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.6984, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.6953, loss: 15.3970 2022-05-02 04:41:12,513 - mmseg - INFO - Iter [68950/80000] lr: 1.983e-07, eta: 5:55:08, time: 1.828, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2397, decode.loss_mask: 0.4553, decode.loss_dice: 0.7239, decode.d0.loss_cls: 1.2984, decode.d0.loss_mask: 0.4947, decode.d0.loss_dice: 0.8256, decode.d1.loss_cls: 0.3363, decode.d1.loss_mask: 0.4744, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.7449, decode.d3.loss_cls: 0.2724, decode.d3.loss_mask: 0.4609, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2597, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.7331, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.4577, decode.d5.loss_dice: 0.7285, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.7221, decode.d7.loss_cls: 0.2482, decode.d7.loss_mask: 0.4540, decode.d7.loss_dice: 0.7249, decode.d8.loss_cls: 0.2434, decode.d8.loss_mask: 0.4542, decode.d8.loss_dice: 0.7198, loss: 15.7542 2022-05-02 04:42:43,374 - mmseg - INFO - Saving checkpoint at 69000 iterations 2022-05-02 04:43:07,221 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 04:43:07,231 - mmseg - INFO - Iter [69000/80000] lr: 1.974e-07, eta: 5:53:34, time: 2.293, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2357, decode.loss_mask: 0.4633, decode.loss_dice: 0.6983, decode.d0.loss_cls: 1.2725, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2833, decode.d2.loss_mask: 0.4761, decode.d2.loss_dice: 0.7163, decode.d3.loss_cls: 0.2652, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7063, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7046, decode.d5.loss_cls: 0.2447, decode.d5.loss_mask: 0.4659, decode.d5.loss_dice: 0.7007, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4639, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2316, decode.d7.loss_mask: 0.4650, decode.d7.loss_dice: 0.6988, decode.d8.loss_cls: 0.2337, decode.d8.loss_mask: 0.4627, decode.d8.loss_dice: 0.6938, loss: 15.4756 2022-05-02 04:44:39,676 - mmseg - INFO - Iter [69050/80000] lr: 1.965e-07, eta: 5:51:57, time: 1.850, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2364, decode.loss_mask: 0.4955, decode.loss_dice: 0.7204, decode.d0.loss_cls: 1.2648, decode.d0.loss_mask: 0.5505, decode.d0.loss_dice: 0.8282, decode.d1.loss_cls: 0.3290, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.7726, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.5090, decode.d2.loss_dice: 0.7444, decode.d3.loss_cls: 0.2628, decode.d3.loss_mask: 0.5035, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2559, decode.d4.loss_mask: 0.5025, decode.d4.loss_dice: 0.7350, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.5000, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2407, decode.d6.loss_mask: 0.4997, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2382, decode.d7.loss_mask: 0.4986, decode.d7.loss_dice: 0.7234, decode.d8.loss_cls: 0.2326, decode.d8.loss_mask: 0.4995, decode.d8.loss_dice: 0.7201, loss: 16.0936 2022-05-02 04:46:11,391 - mmseg - INFO - Iter [69100/80000] lr: 1.956e-07, eta: 5:50:20, time: 1.835, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2281, decode.loss_mask: 0.4761, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.2511, decode.d0.loss_mask: 0.5210, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3153, decode.d1.loss_mask: 0.5000, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2739, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7460, decode.d3.loss_cls: 0.2606, decode.d3.loss_mask: 0.4816, decode.d3.loss_dice: 0.7351, decode.d4.loss_cls: 0.2483, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2420, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2372, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2316, decode.d7.loss_mask: 0.4761, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4779, decode.d8.loss_dice: 0.7246, loss: 15.7970 2022-05-02 04:47:42,808 - mmseg - INFO - Iter [69150/80000] lr: 1.947e-07, eta: 5:48:43, time: 1.828, data_time: 0.014, memory: 64716, decode.loss_cls: 0.1975, decode.loss_mask: 0.4833, decode.loss_dice: 0.6822, decode.d0.loss_cls: 1.2066, decode.d0.loss_mask: 0.5307, decode.d0.loss_dice: 0.7671, decode.d1.loss_cls: 0.2793, decode.d1.loss_mask: 0.5063, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2417, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.6996, decode.d3.loss_cls: 0.2235, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2147, decode.d4.loss_mask: 0.4859, decode.d4.loss_dice: 0.6887, decode.d5.loss_cls: 0.2058, decode.d5.loss_mask: 0.4861, decode.d5.loss_dice: 0.6891, decode.d6.loss_cls: 0.2026, decode.d6.loss_mask: 0.4851, decode.d6.loss_dice: 0.6824, decode.d7.loss_cls: 0.1975, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.6813, decode.d8.loss_cls: 0.1986, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.6832, loss: 15.0874 2022-05-02 04:49:14,069 - mmseg - INFO - Iter [69200/80000] lr: 1.939e-07, eta: 5:47:05, time: 1.824, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2134, decode.loss_mask: 0.4665, decode.loss_dice: 0.7157, decode.d0.loss_cls: 1.2435, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.8140, decode.d1.loss_cls: 0.3108, decode.d1.loss_mask: 0.4908, decode.d1.loss_dice: 0.7670, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7416, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7290, decode.d4.loss_cls: 0.2356, decode.d4.loss_mask: 0.4715, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7265, decode.d6.loss_cls: 0.2256, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.7176, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7174, decode.d8.loss_cls: 0.2195, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.7194, loss: 15.5593 2022-05-02 04:50:47,461 - mmseg - INFO - Iter [69250/80000] lr: 1.930e-07, eta: 5:45:29, time: 1.869, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2211, decode.loss_mask: 0.4864, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.2557, decode.d0.loss_mask: 0.5303, decode.d0.loss_dice: 0.8118, decode.d1.loss_cls: 0.3124, decode.d1.loss_mask: 0.5073, decode.d1.loss_dice: 0.7635, decode.d2.loss_cls: 0.2704, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2368, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2336, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4845, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2233, decode.d7.loss_mask: 0.4842, decode.d7.loss_dice: 0.7154, decode.d8.loss_cls: 0.2233, decode.d8.loss_mask: 0.4840, decode.d8.loss_dice: 0.7197, loss: 15.7373 2022-05-02 04:52:18,968 - mmseg - INFO - Iter [69300/80000] lr: 1.921e-07, eta: 5:43:51, time: 1.831, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2149, decode.loss_mask: 0.4694, decode.loss_dice: 0.6865, decode.d0.loss_cls: 1.2153, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.7808, decode.d1.loss_cls: 0.3019, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2610, decode.d2.loss_mask: 0.4750, decode.d2.loss_dice: 0.7089, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.6938, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.6977, decode.d5.loss_cls: 0.2199, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6922, decode.d6.loss_cls: 0.2154, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.6877, decode.d7.loss_cls: 0.2092, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.6882, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4700, decode.d8.loss_dice: 0.6901, loss: 15.1528 2022-05-02 04:53:50,080 - mmseg - INFO - Iter [69350/80000] lr: 1.912e-07, eta: 5:42:14, time: 1.821, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2023, decode.loss_mask: 0.4888, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.2201, decode.d0.loss_mask: 0.5425, decode.d0.loss_dice: 0.7771, decode.d1.loss_cls: 0.2959, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7332, decode.d2.loss_cls: 0.2529, decode.d2.loss_mask: 0.4992, decode.d2.loss_dice: 0.7068, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4956, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2226, decode.d4.loss_mask: 0.4930, decode.d4.loss_dice: 0.6939, decode.d5.loss_cls: 0.2177, decode.d5.loss_mask: 0.4910, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.2088, decode.d6.loss_mask: 0.4899, decode.d6.loss_dice: 0.6867, decode.d7.loss_cls: 0.2084, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.6836, decode.d8.loss_cls: 0.2103, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.6846, loss: 15.3046 2022-05-02 04:55:21,418 - mmseg - INFO - Iter [69400/80000] lr: 1.903e-07, eta: 5:40:37, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2236, decode.loss_mask: 0.4792, decode.loss_dice: 0.7072, decode.d0.loss_cls: 1.2720, decode.d0.loss_mask: 0.5161, decode.d0.loss_dice: 0.7938, decode.d1.loss_cls: 0.3129, decode.d1.loss_mask: 0.4991, decode.d1.loss_dice: 0.7535, decode.d2.loss_cls: 0.2727, decode.d2.loss_mask: 0.4875, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2460, decode.d3.loss_mask: 0.4825, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2366, decode.d4.loss_mask: 0.4840, decode.d4.loss_dice: 0.7142, decode.d5.loss_cls: 0.2288, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2232, decode.d6.loss_mask: 0.4799, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2221, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.7070, decode.d8.loss_cls: 0.2201, decode.d8.loss_mask: 0.4793, decode.d8.loss_dice: 0.7085, loss: 15.5807 2022-05-02 04:56:52,097 - mmseg - INFO - Iter [69450/80000] lr: 1.894e-07, eta: 5:39:00, time: 1.813, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2190, decode.loss_mask: 0.4808, decode.loss_dice: 0.7026, decode.d0.loss_cls: 1.2373, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.7984, decode.d1.loss_cls: 0.3106, decode.d1.loss_mask: 0.5047, decode.d1.loss_dice: 0.7556, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4898, decode.d2.loss_dice: 0.7285, decode.d3.loss_cls: 0.2540, decode.d3.loss_mask: 0.4841, decode.d3.loss_dice: 0.7116, decode.d4.loss_cls: 0.2380, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2303, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7064, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.2259, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7044, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7028, loss: 15.5417 2022-05-02 04:58:24,099 - mmseg - INFO - Iter [69500/80000] lr: 1.885e-07, eta: 5:37:23, time: 1.841, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2085, decode.loss_mask: 0.4510, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.2109, decode.d0.loss_mask: 0.4945, decode.d0.loss_dice: 0.7786, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.4623, decode.d2.loss_dice: 0.7142, decode.d3.loss_cls: 0.2381, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.2276, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.6944, decode.d5.loss_cls: 0.2253, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2196, decode.d6.loss_mask: 0.4507, decode.d6.loss_dice: 0.6864, decode.d7.loss_cls: 0.2121, decode.d7.loss_mask: 0.4522, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.2055, decode.d8.loss_mask: 0.4515, decode.d8.loss_dice: 0.6892, loss: 14.9565 2022-05-02 04:59:57,631 - mmseg - INFO - Iter [69550/80000] lr: 1.876e-07, eta: 5:35:46, time: 1.871, data_time: 0.063, memory: 64716, decode.loss_cls: 0.2244, decode.loss_mask: 0.4754, decode.loss_dice: 0.7144, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.5173, decode.d0.loss_dice: 0.7995, decode.d1.loss_cls: 0.3151, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7696, decode.d2.loss_cls: 0.2669, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7462, decode.d3.loss_cls: 0.2503, decode.d3.loss_mask: 0.4827, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2423, decode.d4.loss_mask: 0.4816, decode.d4.loss_dice: 0.7281, decode.d5.loss_cls: 0.2361, decode.d5.loss_mask: 0.4794, decode.d5.loss_dice: 0.7259, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.7231, decode.d7.loss_cls: 0.2232, decode.d7.loss_mask: 0.4766, decode.d7.loss_dice: 0.7199, decode.d8.loss_cls: 0.2236, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7222, loss: 15.6969 2022-05-02 05:01:30,661 - mmseg - INFO - Iter [69600/80000] lr: 1.867e-07, eta: 5:34:09, time: 1.860, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2032, decode.loss_mask: 0.4672, decode.loss_dice: 0.7052, decode.d0.loss_cls: 1.2336, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7904, decode.d1.loss_cls: 0.2891, decode.d1.loss_mask: 0.4898, decode.d1.loss_dice: 0.7520, decode.d2.loss_cls: 0.2456, decode.d2.loss_mask: 0.4771, decode.d2.loss_dice: 0.7235, decode.d3.loss_cls: 0.2277, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.7170, decode.d4.loss_cls: 0.2163, decode.d4.loss_mask: 0.4723, decode.d4.loss_dice: 0.7170, decode.d5.loss_cls: 0.2103, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7147, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4690, decode.d6.loss_dice: 0.7077, decode.d7.loss_cls: 0.2045, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7053, decode.d8.loss_cls: 0.2038, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.7036, loss: 15.2429 2022-05-02 05:03:03,136 - mmseg - INFO - Iter [69650/80000] lr: 1.858e-07, eta: 5:32:32, time: 1.849, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2165, decode.loss_mask: 0.4723, decode.loss_dice: 0.6924, decode.d0.loss_cls: 1.2125, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7418, decode.d2.loss_cls: 0.2635, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7149, decode.d3.loss_cls: 0.2409, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.6996, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7019, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2201, decode.d6.loss_mask: 0.4732, decode.d6.loss_dice: 0.6973, decode.d7.loss_cls: 0.2188, decode.d7.loss_mask: 0.4730, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.2173, decode.d8.loss_mask: 0.4727, decode.d8.loss_dice: 0.6952, loss: 15.2914 2022-05-02 05:04:34,888 - mmseg - INFO - Iter [69700/80000] lr: 1.849e-07, eta: 5:30:55, time: 1.835, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2375, decode.loss_mask: 0.4644, decode.loss_dice: 0.7171, decode.d0.loss_cls: 1.2758, decode.d0.loss_mask: 0.5046, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.4889, decode.d1.loss_dice: 0.7641, decode.d2.loss_cls: 0.2805, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7437, decode.d3.loss_cls: 0.2671, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7316, decode.d4.loss_cls: 0.2487, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.7297, decode.d5.loss_cls: 0.2499, decode.d5.loss_mask: 0.4685, decode.d5.loss_dice: 0.7230, decode.d6.loss_cls: 0.2395, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.7182, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2389, decode.d8.loss_mask: 0.4633, decode.d8.loss_dice: 0.7162, loss: 15.7212 2022-05-02 05:06:05,270 - mmseg - INFO - Iter [69750/80000] lr: 1.840e-07, eta: 5:29:18, time: 1.809, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2219, decode.loss_mask: 0.4733, decode.loss_dice: 0.6987, decode.d0.loss_cls: 1.2378, decode.d0.loss_mask: 0.5157, decode.d0.loss_dice: 0.7937, decode.d1.loss_cls: 0.3090, decode.d1.loss_mask: 0.4946, decode.d1.loss_dice: 0.7474, decode.d2.loss_cls: 0.2661, decode.d2.loss_mask: 0.4846, decode.d2.loss_dice: 0.7277, decode.d3.loss_cls: 0.2464, decode.d3.loss_mask: 0.4767, decode.d3.loss_dice: 0.7124, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2305, decode.d5.loss_mask: 0.4758, decode.d5.loss_dice: 0.7079, decode.d6.loss_cls: 0.2313, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.7019, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.2265, decode.d8.loss_mask: 0.4729, decode.d8.loss_dice: 0.7041, loss: 15.4596 2022-05-02 05:07:35,459 - mmseg - INFO - Iter [69800/80000] lr: 1.831e-07, eta: 5:27:40, time: 1.803, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2479, decode.loss_mask: 0.4915, decode.loss_dice: 0.7410, decode.d0.loss_cls: 1.2934, decode.d0.loss_mask: 0.5416, decode.d0.loss_dice: 0.8433, decode.d1.loss_cls: 0.3502, decode.d1.loss_mask: 0.5155, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.3013, decode.d2.loss_mask: 0.4995, decode.d2.loss_dice: 0.7642, decode.d3.loss_cls: 0.2805, decode.d3.loss_mask: 0.4948, decode.d3.loss_dice: 0.7477, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7475, decode.d5.loss_cls: 0.2616, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7462, decode.d6.loss_cls: 0.2547, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2529, decode.d7.loss_mask: 0.4915, decode.d7.loss_dice: 0.7385, decode.d8.loss_cls: 0.2541, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7367, loss: 16.3761 2022-05-02 05:09:06,508 - mmseg - INFO - Iter [69850/80000] lr: 1.822e-07, eta: 5:26:03, time: 1.820, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2183, decode.loss_mask: 0.4970, decode.loss_dice: 0.7254, decode.d0.loss_cls: 1.2346, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8169, decode.d1.loss_cls: 0.3065, decode.d1.loss_mask: 0.5173, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2640, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7516, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.5032, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2344, decode.d4.loss_mask: 0.5027, decode.d4.loss_dice: 0.7355, decode.d5.loss_cls: 0.2288, decode.d5.loss_mask: 0.5007, decode.d5.loss_dice: 0.7313, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4996, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4967, decode.d7.loss_dice: 0.7241, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4940, decode.d8.loss_dice: 0.7260, loss: 15.8975 2022-05-02 05:10:36,666 - mmseg - INFO - Iter [69900/80000] lr: 1.813e-07, eta: 5:24:26, time: 1.805, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2281, decode.loss_mask: 0.4788, decode.loss_dice: 0.7214, decode.d0.loss_cls: 1.2544, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.8188, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.5015, decode.d1.loss_dice: 0.7695, decode.d2.loss_cls: 0.2716, decode.d2.loss_mask: 0.4910, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2528, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7324, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4823, decode.d5.loss_dice: 0.7289, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.7248, decode.d7.loss_cls: 0.2308, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4783, decode.d8.loss_dice: 0.7239, loss: 15.8018 2022-05-02 05:12:06,903 - mmseg - INFO - Iter [69950/80000] lr: 1.804e-07, eta: 5:22:49, time: 1.804, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2149, decode.loss_mask: 0.4857, decode.loss_dice: 0.7144, decode.d0.loss_cls: 1.2415, decode.d0.loss_mask: 0.5377, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.3016, decode.d1.loss_mask: 0.5090, decode.d1.loss_dice: 0.7639, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4974, decode.d2.loss_dice: 0.7316, decode.d3.loss_cls: 0.2439, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2325, decode.d4.loss_mask: 0.4889, decode.d4.loss_dice: 0.7223, decode.d5.loss_cls: 0.2258, decode.d5.loss_mask: 0.4892, decode.d5.loss_dice: 0.7179, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4859, decode.d6.loss_dice: 0.7085, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7139, decode.d8.loss_cls: 0.2141, decode.d8.loss_mask: 0.4855, decode.d8.loss_dice: 0.7131, loss: 15.6460 2022-05-02 05:13:37,412 - mmseg - INFO - Saving checkpoint at 70000 iterations 2022-05-02 05:13:55,587 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 05:13:55,590 - mmseg - INFO - Iter [70000/80000] lr: 1.795e-07, eta: 5:21:14, time: 2.174, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2404, decode.loss_mask: 0.4831, decode.loss_dice: 0.7350, decode.d0.loss_cls: 1.2541, decode.d0.loss_mask: 0.5354, decode.d0.loss_dice: 0.8336, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.7834, decode.d2.loss_cls: 0.2913, decode.d2.loss_mask: 0.4933, decode.d2.loss_dice: 0.7570, decode.d3.loss_cls: 0.2742, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.2638, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7432, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4890, decode.d5.loss_dice: 0.7354, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4877, decode.d6.loss_dice: 0.7354, decode.d7.loss_cls: 0.2439, decode.d7.loss_mask: 0.4857, decode.d7.loss_dice: 0.7365, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7337, loss: 16.1139 2022-05-02 05:15:26,390 - mmseg - INFO - Iter [70050/80000] lr: 1.786e-07, eta: 5:19:37, time: 1.816, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2320, decode.loss_mask: 0.4458, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.2936, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7986, decode.d1.loss_cls: 0.3303, decode.d1.loss_mask: 0.4665, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2796, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.7228, decode.d3.loss_cls: 0.2609, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2475, decode.d4.loss_mask: 0.4491, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2497, decode.d5.loss_mask: 0.4471, decode.d5.loss_dice: 0.7064, decode.d6.loss_cls: 0.2444, decode.d6.loss_mask: 0.4475, decode.d6.loss_dice: 0.7032, decode.d7.loss_cls: 0.2350, decode.d7.loss_mask: 0.4461, decode.d7.loss_dice: 0.7074, decode.d8.loss_cls: 0.2357, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.7051, loss: 15.3820 2022-05-02 05:16:56,400 - mmseg - INFO - Iter [70100/80000] lr: 1.777e-07, eta: 5:18:00, time: 1.800, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2177, decode.loss_mask: 0.4633, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.2423, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7974, decode.d1.loss_cls: 0.3130, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2698, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7295, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4692, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2368, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.7219, decode.d5.loss_cls: 0.2303, decode.d5.loss_mask: 0.4681, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2233, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4652, decode.d7.loss_dice: 0.7119, decode.d8.loss_cls: 0.2193, decode.d8.loss_mask: 0.4627, decode.d8.loss_dice: 0.7103, loss: 15.4296 2022-05-02 05:18:27,061 - mmseg - INFO - Iter [70150/80000] lr: 1.768e-07, eta: 5:16:22, time: 1.813, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2085, decode.loss_mask: 0.4583, decode.loss_dice: 0.6909, decode.d0.loss_cls: 1.2419, decode.d0.loss_mask: 0.4998, decode.d0.loss_dice: 0.7848, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.4786, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2472, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7128, decode.d3.loss_cls: 0.2296, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2225, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6959, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2093, decode.d7.loss_mask: 0.4629, decode.d7.loss_dice: 0.6927, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6949, loss: 15.0853 2022-05-02 05:19:56,420 - mmseg - INFO - Iter [70200/80000] lr: 1.759e-07, eta: 5:14:45, time: 1.786, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2195, decode.loss_mask: 0.4461, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.2390, decode.d0.loss_mask: 0.4890, decode.d0.loss_dice: 0.7637, decode.d1.loss_cls: 0.3129, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.7186, decode.d2.loss_cls: 0.2695, decode.d2.loss_mask: 0.4609, decode.d2.loss_dice: 0.6955, decode.d3.loss_cls: 0.2528, decode.d3.loss_mask: 0.4551, decode.d3.loss_dice: 0.6839, decode.d4.loss_cls: 0.2400, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6814, decode.d5.loss_cls: 0.2384, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6714, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6703, decode.d7.loss_cls: 0.2211, decode.d7.loss_mask: 0.4492, decode.d7.loss_dice: 0.6693, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4477, decode.d8.loss_dice: 0.6684, loss: 14.9072 2022-05-02 05:21:26,625 - mmseg - INFO - Iter [70250/80000] lr: 1.750e-07, eta: 5:13:08, time: 1.805, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2299, decode.loss_mask: 0.4574, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.2924, decode.d0.loss_mask: 0.5006, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.3275, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2814, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.7187, decode.d3.loss_cls: 0.2554, decode.d3.loss_mask: 0.4637, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2492, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.7007, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2363, decode.d6.loss_mask: 0.4564, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.2332, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.6943, decode.d8.loss_cls: 0.2309, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.6951, loss: 15.3852 2022-05-02 05:22:56,846 - mmseg - INFO - Iter [70300/80000] lr: 1.741e-07, eta: 5:11:31, time: 1.805, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2216, decode.loss_mask: 0.4827, decode.loss_dice: 0.7065, decode.d0.loss_cls: 1.2659, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3205, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7515, decode.d2.loss_cls: 0.2748, decode.d2.loss_mask: 0.4909, decode.d2.loss_dice: 0.7272, decode.d3.loss_cls: 0.2580, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7114, decode.d4.loss_cls: 0.2512, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2425, decode.d5.loss_mask: 0.4847, decode.d5.loss_dice: 0.7100, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4853, decode.d6.loss_dice: 0.7079, decode.d7.loss_cls: 0.2316, decode.d7.loss_mask: 0.4825, decode.d7.loss_dice: 0.7020, decode.d8.loss_cls: 0.2282, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.7056, loss: 15.6648 2022-05-02 05:24:27,709 - mmseg - INFO - Iter [70350/80000] lr: 1.732e-07, eta: 5:09:54, time: 1.818, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2288, decode.loss_mask: 0.4839, decode.loss_dice: 0.7039, decode.d0.loss_cls: 1.2793, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.3148, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7618, decode.d2.loss_cls: 0.2755, decode.d2.loss_mask: 0.4965, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2665, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2485, decode.d4.loss_mask: 0.4892, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2368, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7074, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7053, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7079, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4847, decode.d8.loss_dice: 0.7024, loss: 15.7478 2022-05-02 05:25:58,027 - mmseg - INFO - Iter [70400/80000] lr: 1.723e-07, eta: 5:08:16, time: 1.806, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2300, decode.loss_mask: 0.4848, decode.loss_dice: 0.7066, decode.d0.loss_cls: 1.2588, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.8116, decode.d1.loss_cls: 0.3292, decode.d1.loss_mask: 0.5053, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2888, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7268, decode.d3.loss_cls: 0.2627, decode.d3.loss_mask: 0.4923, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2489, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7147, decode.d5.loss_cls: 0.2442, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7137, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4843, decode.d6.loss_dice: 0.7114, decode.d7.loss_cls: 0.2352, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7096, decode.d8.loss_cls: 0.2338, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.7053, loss: 15.7804 2022-05-02 05:27:29,388 - mmseg - INFO - Iter [70450/80000] lr: 1.714e-07, eta: 5:06:39, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2108, decode.loss_mask: 0.4539, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2402, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7796, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.4733, decode.d1.loss_dice: 0.7279, decode.d2.loss_cls: 0.2609, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.6993, decode.d3.loss_cls: 0.2369, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.6918, decode.d4.loss_cls: 0.2268, decode.d4.loss_mask: 0.4556, decode.d4.loss_dice: 0.6907, decode.d5.loss_cls: 0.2231, decode.d5.loss_mask: 0.4535, decode.d5.loss_dice: 0.6876, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4523, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2122, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6826, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4525, decode.d8.loss_dice: 0.6809, loss: 14.9580 2022-05-02 05:28:59,984 - mmseg - INFO - Iter [70500/80000] lr: 1.705e-07, eta: 5:05:02, time: 1.812, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2136, decode.loss_mask: 0.4753, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.2448, decode.d0.loss_mask: 0.5216, decode.d0.loss_dice: 0.7879, decode.d1.loss_cls: 0.3052, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2600, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7194, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7070, decode.d4.loss_cls: 0.2352, decode.d4.loss_mask: 0.4773, decode.d4.loss_dice: 0.7054, decode.d5.loss_cls: 0.2269, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.7021, decode.d6.loss_cls: 0.2186, decode.d6.loss_mask: 0.4778, decode.d6.loss_dice: 0.7001, decode.d7.loss_cls: 0.2147, decode.d7.loss_mask: 0.4768, decode.d7.loss_dice: 0.6977, decode.d8.loss_cls: 0.2122, decode.d8.loss_mask: 0.4751, decode.d8.loss_dice: 0.6964, loss: 15.3862 2022-05-02 05:30:31,424 - mmseg - INFO - Iter [70550/80000] lr: 1.696e-07, eta: 5:03:25, time: 1.828, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2360, decode.loss_mask: 0.4622, decode.loss_dice: 0.6996, decode.d0.loss_cls: 1.2471, decode.d0.loss_mask: 0.5117, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3284, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7505, decode.d2.loss_cls: 0.2850, decode.d2.loss_mask: 0.4750, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2641, decode.d3.loss_mask: 0.4708, decode.d3.loss_dice: 0.7129, decode.d4.loss_cls: 0.2499, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.7129, decode.d5.loss_cls: 0.2484, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.7051, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.7001, decode.d8.loss_cls: 0.2276, decode.d8.loss_mask: 0.4646, decode.d8.loss_dice: 0.7053, loss: 15.5097 2022-05-02 05:32:00,790 - mmseg - INFO - Iter [70600/80000] lr: 1.687e-07, eta: 5:01:48, time: 1.788, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2207, decode.loss_mask: 0.4681, decode.loss_dice: 0.6984, decode.d0.loss_cls: 1.3164, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.7983, decode.d1.loss_cls: 0.3220, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7535, decode.d2.loss_cls: 0.2729, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7228, decode.d3.loss_cls: 0.2480, decode.d3.loss_mask: 0.4717, decode.d3.loss_dice: 0.7091, decode.d4.loss_cls: 0.2412, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.7094, decode.d5.loss_cls: 0.2308, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.7074, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4678, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.2212, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.7021, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.6963, loss: 15.4922 2022-05-02 05:33:31,693 - mmseg - INFO - Iter [70650/80000] lr: 1.678e-07, eta: 5:00:11, time: 1.817, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2120, decode.loss_mask: 0.4727, decode.loss_dice: 0.6992, decode.d0.loss_cls: 1.2293, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7959, decode.d1.loss_cls: 0.2940, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7555, decode.d2.loss_cls: 0.2551, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7237, decode.d3.loss_cls: 0.2389, decode.d3.loss_mask: 0.4769, decode.d3.loss_dice: 0.7047, decode.d4.loss_cls: 0.2301, decode.d4.loss_mask: 0.4779, decode.d4.loss_dice: 0.7058, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7030, decode.d6.loss_cls: 0.2189, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.6960, decode.d7.loss_cls: 0.2175, decode.d7.loss_mask: 0.4738, decode.d7.loss_dice: 0.7000, decode.d8.loss_cls: 0.2124, decode.d8.loss_mask: 0.4718, decode.d8.loss_dice: 0.6995, loss: 15.3354 2022-05-02 05:35:01,989 - mmseg - INFO - Iter [70700/80000] lr: 1.669e-07, eta: 4:58:34, time: 1.806, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2150, decode.loss_mask: 0.4652, decode.loss_dice: 0.6980, decode.d0.loss_cls: 1.2610, decode.d0.loss_mask: 0.5128, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.3138, decode.d1.loss_mask: 0.4866, decode.d1.loss_dice: 0.7530, decode.d2.loss_cls: 0.2595, decode.d2.loss_mask: 0.4769, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7080, decode.d4.loss_cls: 0.2310, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7078, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4686, decode.d5.loss_dice: 0.7072, decode.d6.loss_cls: 0.2199, decode.d6.loss_mask: 0.4654, decode.d6.loss_dice: 0.7008, decode.d7.loss_cls: 0.2141, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.7010, decode.d8.loss_cls: 0.2092, decode.d8.loss_mask: 0.4664, decode.d8.loss_dice: 0.7034, loss: 15.3430 2022-05-02 05:36:32,259 - mmseg - INFO - Iter [70750/80000] lr: 1.660e-07, eta: 4:56:57, time: 1.806, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2257, decode.loss_mask: 0.4725, decode.loss_dice: 0.7168, decode.d0.loss_cls: 1.2395, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.8227, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7659, decode.d2.loss_cls: 0.2762, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7402, decode.d3.loss_cls: 0.2546, decode.d3.loss_mask: 0.4798, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2474, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4759, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4722, decode.d6.loss_dice: 0.7157, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4707, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2279, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7150, loss: 15.6694 2022-05-02 05:38:04,455 - mmseg - INFO - Iter [70800/80000] lr: 1.651e-07, eta: 4:55:20, time: 1.844, data_time: 0.061, memory: 64716, decode.loss_cls: 0.2326, decode.loss_mask: 0.4649, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.2575, decode.d0.loss_mask: 0.5148, decode.d0.loss_dice: 0.8266, decode.d1.loss_cls: 0.3334, decode.d1.loss_mask: 0.4865, decode.d1.loss_dice: 0.7746, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.7469, decode.d3.loss_cls: 0.2624, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.7288, decode.d4.loss_cls: 0.2469, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.7249, decode.d5.loss_cls: 0.2443, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7228, decode.d6.loss_cls: 0.2388, decode.d6.loss_mask: 0.4669, decode.d6.loss_dice: 0.7182, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.4681, decode.d7.loss_dice: 0.7211, decode.d8.loss_cls: 0.2333, decode.d8.loss_mask: 0.4671, decode.d8.loss_dice: 0.7219, loss: 15.7300 2022-05-02 05:39:35,891 - mmseg - INFO - Iter [70850/80000] lr: 1.642e-07, eta: 4:53:43, time: 1.829, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2250, decode.loss_mask: 0.4923, decode.loss_dice: 0.7094, decode.d0.loss_cls: 1.2425, decode.d0.loss_mask: 0.5448, decode.d0.loss_dice: 0.8112, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7603, decode.d2.loss_cls: 0.2741, decode.d2.loss_mask: 0.5056, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2536, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7197, decode.d4.loss_cls: 0.2389, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7204, decode.d5.loss_cls: 0.2309, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2346, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7112, decode.d7.loss_cls: 0.2255, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7103, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4932, decode.d8.loss_dice: 0.7128, loss: 15.8009 2022-05-02 05:41:06,702 - mmseg - INFO - Iter [70900/80000] lr: 1.633e-07, eta: 4:52:06, time: 1.816, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2219, decode.loss_mask: 0.4654, decode.loss_dice: 0.7133, decode.d0.loss_cls: 1.2763, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.8147, decode.d1.loss_cls: 0.3111, decode.d1.loss_mask: 0.4870, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.2712, decode.d2.loss_mask: 0.4749, decode.d2.loss_dice: 0.7339, decode.d3.loss_cls: 0.2496, decode.d3.loss_mask: 0.4711, decode.d3.loss_dice: 0.7289, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.7248, decode.d5.loss_cls: 0.2382, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.7178, decode.d6.loss_cls: 0.2280, decode.d6.loss_mask: 0.4673, decode.d6.loss_dice: 0.7180, decode.d7.loss_cls: 0.2251, decode.d7.loss_mask: 0.4664, decode.d7.loss_dice: 0.7166, decode.d8.loss_cls: 0.2267, decode.d8.loss_mask: 0.4673, decode.d8.loss_dice: 0.7158, loss: 15.5863 2022-05-02 05:42:36,287 - mmseg - INFO - Iter [70950/80000] lr: 1.624e-07, eta: 4:50:29, time: 1.791, data_time: 0.016, memory: 64716, decode.loss_cls: 0.1985, decode.loss_mask: 0.4666, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.2393, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.7756, decode.d1.loss_cls: 0.2761, decode.d1.loss_mask: 0.4892, decode.d1.loss_dice: 0.7351, decode.d2.loss_cls: 0.2360, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2263, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2174, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.6962, decode.d5.loss_cls: 0.2050, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2048, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.1965, decode.d7.loss_mask: 0.4675, decode.d7.loss_dice: 0.6918, decode.d8.loss_cls: 0.1977, decode.d8.loss_mask: 0.4661, decode.d8.loss_dice: 0.6914, loss: 15.0518 2022-05-02 05:44:06,718 - mmseg - INFO - Saving checkpoint at 71000 iterations 2022-05-02 05:44:35,257 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 05:44:35,265 - mmseg - INFO - Iter [71000/80000] lr: 1.615e-07, eta: 4:48:55, time: 2.378, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2285, decode.loss_mask: 0.4891, decode.loss_dice: 0.7185, decode.d0.loss_cls: 1.2663, decode.d0.loss_mask: 0.5387, decode.d0.loss_dice: 0.8218, decode.d1.loss_cls: 0.3158, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.5016, decode.d2.loss_dice: 0.7434, decode.d3.loss_cls: 0.2581, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2472, decode.d4.loss_mask: 0.4923, decode.d4.loss_dice: 0.7277, decode.d5.loss_cls: 0.2407, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7231, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7188, decode.d7.loss_cls: 0.2340, decode.d7.loss_mask: 0.4886, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7198, loss: 15.9186 2022-05-02 05:46:06,409 - mmseg - INFO - Iter [71050/80000] lr: 1.606e-07, eta: 4:47:18, time: 1.824, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2276, decode.loss_mask: 0.4577, decode.loss_dice: 0.7141, decode.d0.loss_cls: 1.2771, decode.d0.loss_mask: 0.5031, decode.d0.loss_dice: 0.8080, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7589, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.7284, decode.d3.loss_cls: 0.2623, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2556, decode.d4.loss_mask: 0.4612, decode.d4.loss_dice: 0.7125, decode.d5.loss_cls: 0.2477, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.7130, decode.d6.loss_cls: 0.2385, decode.d6.loss_mask: 0.4576, decode.d6.loss_dice: 0.7083, decode.d7.loss_cls: 0.2367, decode.d7.loss_mask: 0.4558, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.7113, loss: 15.5364 2022-05-02 05:47:36,993 - mmseg - INFO - Iter [71100/80000] lr: 1.598e-07, eta: 4:45:41, time: 1.811, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2096, decode.loss_mask: 0.4486, decode.loss_dice: 0.6784, decode.d0.loss_cls: 1.2271, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7695, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.4736, decode.d1.loss_dice: 0.7231, decode.d2.loss_cls: 0.2543, decode.d2.loss_mask: 0.4576, decode.d2.loss_dice: 0.7006, decode.d3.loss_cls: 0.2312, decode.d3.loss_mask: 0.4562, decode.d3.loss_dice: 0.6924, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4525, decode.d4.loss_dice: 0.6871, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4514, decode.d5.loss_dice: 0.6851, decode.d6.loss_cls: 0.2156, decode.d6.loss_mask: 0.4504, decode.d6.loss_dice: 0.6806, decode.d7.loss_cls: 0.2135, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6835, decode.d8.loss_cls: 0.2119, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6820, loss: 14.8721 2022-05-02 05:49:06,896 - mmseg - INFO - Iter [71150/80000] lr: 1.589e-07, eta: 4:44:04, time: 1.798, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2151, decode.loss_mask: 0.4557, decode.loss_dice: 0.6789, decode.d0.loss_cls: 1.2162, decode.d0.loss_mask: 0.5073, decode.d0.loss_dice: 0.7832, decode.d1.loss_cls: 0.3037, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7282, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4638, decode.d2.loss_dice: 0.6991, decode.d3.loss_cls: 0.2421, decode.d3.loss_mask: 0.4594, decode.d3.loss_dice: 0.6886, decode.d4.loss_cls: 0.2360, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6863, decode.d5.loss_cls: 0.2295, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6843, decode.d6.loss_cls: 0.2239, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6796, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4546, decode.d7.loss_dice: 0.6797, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4551, decode.d8.loss_dice: 0.6834, loss: 15.0009 2022-05-02 05:50:38,256 - mmseg - INFO - Iter [71200/80000] lr: 1.580e-07, eta: 4:42:27, time: 1.828, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2325, decode.loss_mask: 0.4650, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.2770, decode.d0.loss_mask: 0.5149, decode.d0.loss_dice: 0.7997, decode.d1.loss_cls: 0.3271, decode.d1.loss_mask: 0.4863, decode.d1.loss_dice: 0.7454, decode.d2.loss_cls: 0.2839, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7236, decode.d3.loss_cls: 0.2670, decode.d3.loss_mask: 0.4710, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2520, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7043, decode.d5.loss_cls: 0.2449, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4634, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.2339, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.6986, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.6995, loss: 15.5088 2022-05-02 05:52:08,601 - mmseg - INFO - Iter [71250/80000] lr: 1.571e-07, eta: 4:40:50, time: 1.806, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2262, decode.loss_mask: 0.4927, decode.loss_dice: 0.7370, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8344, decode.d1.loss_cls: 0.3192, decode.d1.loss_mask: 0.5143, decode.d1.loss_dice: 0.7867, decode.d2.loss_cls: 0.2751, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7618, decode.d3.loss_cls: 0.2538, decode.d3.loss_mask: 0.4973, decode.d3.loss_dice: 0.7493, decode.d4.loss_cls: 0.2439, decode.d4.loss_mask: 0.4956, decode.d4.loss_dice: 0.7424, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7411, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4940, decode.d6.loss_dice: 0.7370, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4935, decode.d7.loss_dice: 0.7358, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7371, loss: 16.0761 2022-05-02 05:53:38,984 - mmseg - INFO - Iter [71300/80000] lr: 1.562e-07, eta: 4:39:13, time: 1.809, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2165, decode.loss_mask: 0.4890, decode.loss_dice: 0.7178, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.8116, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7661, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4970, decode.d2.loss_dice: 0.7416, decode.d3.loss_cls: 0.2425, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7305, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4919, decode.d4.loss_dice: 0.7276, decode.d5.loss_cls: 0.2292, decode.d5.loss_mask: 0.4902, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2254, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7182, decode.d7.loss_cls: 0.2176, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7202, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7176, loss: 15.7534 2022-05-02 05:55:09,123 - mmseg - INFO - Iter [71350/80000] lr: 1.553e-07, eta: 4:37:36, time: 1.803, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2404, decode.loss_mask: 0.4837, decode.loss_dice: 0.7182, decode.d0.loss_cls: 1.2617, decode.d0.loss_mask: 0.5238, decode.d0.loss_dice: 0.8146, decode.d1.loss_cls: 0.3330, decode.d1.loss_mask: 0.5015, decode.d1.loss_dice: 0.7630, decode.d2.loss_cls: 0.2868, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7391, decode.d3.loss_cls: 0.2627, decode.d3.loss_mask: 0.4871, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2595, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7210, decode.d5.loss_cls: 0.2511, decode.d5.loss_mask: 0.4829, decode.d5.loss_dice: 0.7279, decode.d6.loss_cls: 0.2436, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.7172, decode.d7.loss_cls: 0.2436, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2409, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7145, loss: 15.8883 2022-05-02 05:56:39,595 - mmseg - INFO - Iter [71400/80000] lr: 1.544e-07, eta: 4:35:59, time: 1.809, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2159, decode.loss_mask: 0.4618, decode.loss_dice: 0.6834, decode.d0.loss_cls: 1.2418, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.7755, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.4841, decode.d1.loss_dice: 0.7331, decode.d2.loss_cls: 0.2564, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2420, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.2332, decode.d4.loss_mask: 0.4673, decode.d4.loss_dice: 0.6861, decode.d5.loss_cls: 0.2274, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.6877, decode.d6.loss_cls: 0.2204, decode.d6.loss_mask: 0.4630, decode.d6.loss_dice: 0.6779, decode.d7.loss_cls: 0.2199, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.6805, decode.d8.loss_cls: 0.2165, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.6838, loss: 15.1021 2022-05-02 05:58:08,468 - mmseg - INFO - Iter [71450/80000] lr: 1.535e-07, eta: 4:34:22, time: 1.778, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2220, decode.loss_mask: 0.4929, decode.loss_dice: 0.7089, decode.d0.loss_cls: 1.2544, decode.d0.loss_mask: 0.5400, decode.d0.loss_dice: 0.8027, decode.d1.loss_cls: 0.3232, decode.d1.loss_mask: 0.5164, decode.d1.loss_dice: 0.7572, decode.d2.loss_cls: 0.2668, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7338, decode.d3.loss_cls: 0.2474, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7186, decode.d4.loss_cls: 0.2387, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7195, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.4973, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2295, decode.d6.loss_mask: 0.4942, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2287, decode.d7.loss_mask: 0.4921, decode.d7.loss_dice: 0.7097, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4919, decode.d8.loss_dice: 0.7110, loss: 15.7742 2022-05-02 05:59:39,125 - mmseg - INFO - Iter [71500/80000] lr: 1.526e-07, eta: 4:32:45, time: 1.813, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2359, decode.loss_mask: 0.4732, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.2617, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.8026, decode.d1.loss_cls: 0.3305, decode.d1.loss_mask: 0.4981, decode.d1.loss_dice: 0.7522, decode.d2.loss_cls: 0.2890, decode.d2.loss_mask: 0.4857, decode.d2.loss_dice: 0.7221, decode.d3.loss_cls: 0.2638, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7181, decode.d4.loss_cls: 0.2589, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7104, decode.d5.loss_cls: 0.2504, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7093, decode.d6.loss_cls: 0.2432, decode.d6.loss_mask: 0.4758, decode.d6.loss_dice: 0.7018, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2377, decode.d8.loss_mask: 0.4733, decode.d8.loss_dice: 0.7032, loss: 15.6781 2022-05-02 06:01:09,869 - mmseg - INFO - Iter [71550/80000] lr: 1.517e-07, eta: 4:31:08, time: 1.814, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2258, decode.loss_mask: 0.5024, decode.loss_dice: 0.7294, decode.d0.loss_cls: 1.2231, decode.d0.loss_mask: 0.5554, decode.d0.loss_dice: 0.8317, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.5304, decode.d1.loss_dice: 0.7866, decode.d2.loss_cls: 0.2708, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7553, decode.d3.loss_cls: 0.2439, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.5100, decode.d4.loss_dice: 0.7402, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.5049, decode.d6.loss_dice: 0.7343, decode.d7.loss_cls: 0.2274, decode.d7.loss_mask: 0.5040, decode.d7.loss_dice: 0.7342, decode.d8.loss_cls: 0.2239, decode.d8.loss_mask: 0.5040, decode.d8.loss_dice: 0.7338, loss: 16.1078 2022-05-02 06:02:40,720 - mmseg - INFO - Iter [71600/80000] lr: 1.508e-07, eta: 4:29:31, time: 1.817, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2236, decode.loss_mask: 0.4801, decode.loss_dice: 0.7110, decode.d0.loss_cls: 1.2648, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8155, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7591, decode.d2.loss_cls: 0.2721, decode.d2.loss_mask: 0.4882, decode.d2.loss_dice: 0.7321, decode.d3.loss_cls: 0.2500, decode.d3.loss_mask: 0.4839, decode.d3.loss_dice: 0.7213, decode.d4.loss_cls: 0.2425, decode.d4.loss_mask: 0.4830, decode.d4.loss_dice: 0.7186, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4804, decode.d5.loss_dice: 0.7143, decode.d6.loss_cls: 0.2295, decode.d6.loss_mask: 0.4811, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2239, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.7135, decode.d8.loss_cls: 0.2242, decode.d8.loss_mask: 0.4799, decode.d8.loss_dice: 0.7119, loss: 15.6686 2022-05-02 06:04:10,974 - mmseg - INFO - Iter [71650/80000] lr: 1.499e-07, eta: 4:27:55, time: 1.805, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2221, decode.loss_mask: 0.4827, decode.loss_dice: 0.7055, decode.d0.loss_cls: 1.2514, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.3115, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7568, decode.d2.loss_cls: 0.2710, decode.d2.loss_mask: 0.4905, decode.d2.loss_dice: 0.7301, decode.d3.loss_cls: 0.2513, decode.d3.loss_mask: 0.4867, decode.d3.loss_dice: 0.7197, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4888, decode.d4.loss_dice: 0.7198, decode.d5.loss_cls: 0.2308, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7137, decode.d6.loss_cls: 0.2271, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2239, decode.d7.loss_mask: 0.4826, decode.d7.loss_dice: 0.7098, decode.d8.loss_cls: 0.2235, decode.d8.loss_mask: 0.4815, decode.d8.loss_dice: 0.7039, loss: 15.6361 2022-05-02 06:05:40,592 - mmseg - INFO - Iter [71700/80000] lr: 1.490e-07, eta: 4:26:17, time: 1.791, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2179, decode.loss_mask: 0.4686, decode.loss_dice: 0.6998, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.3030, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7479, decode.d2.loss_cls: 0.2674, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7077, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4743, decode.d4.loss_dice: 0.7069, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2220, decode.d6.loss_mask: 0.4698, decode.d6.loss_dice: 0.6990, decode.d7.loss_cls: 0.2201, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.7000, decode.d8.loss_cls: 0.2211, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.6960, loss: 15.3774 2022-05-02 06:07:11,752 - mmseg - INFO - Iter [71750/80000] lr: 1.481e-07, eta: 4:24:41, time: 1.824, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2298, decode.loss_mask: 0.4597, decode.loss_dice: 0.7076, decode.d0.loss_cls: 1.3132, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3281, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7503, decode.d2.loss_cls: 0.2833, decode.d2.loss_mask: 0.4688, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2618, decode.d3.loss_mask: 0.4657, decode.d3.loss_dice: 0.7175, decode.d4.loss_cls: 0.2523, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.7163, decode.d5.loss_cls: 0.2427, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.7083, decode.d6.loss_cls: 0.2398, decode.d6.loss_mask: 0.4609, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4592, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2338, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.7048, loss: 15.5367 2022-05-02 06:08:41,618 - mmseg - INFO - Iter [71800/80000] lr: 1.472e-07, eta: 4:23:04, time: 1.798, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2237, decode.loss_mask: 0.4628, decode.loss_dice: 0.6867, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5114, decode.d0.loss_dice: 0.7894, decode.d1.loss_cls: 0.3184, decode.d1.loss_mask: 0.4881, decode.d1.loss_dice: 0.7343, decode.d2.loss_cls: 0.2754, decode.d2.loss_mask: 0.4752, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2505, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.6957, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4658, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.2310, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6891, decode.d7.loss_cls: 0.2277, decode.d7.loss_mask: 0.4644, decode.d7.loss_dice: 0.6884, decode.d8.loss_cls: 0.2261, decode.d8.loss_mask: 0.4637, decode.d8.loss_dice: 0.6892, loss: 15.3061 2022-05-02 06:10:11,664 - mmseg - INFO - Iter [71850/80000] lr: 1.463e-07, eta: 4:21:27, time: 1.801, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2342, decode.loss_mask: 0.4837, decode.loss_dice: 0.7268, decode.d0.loss_cls: 1.2792, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8316, decode.d1.loss_cls: 0.3295, decode.d1.loss_mask: 0.5079, decode.d1.loss_dice: 0.7799, decode.d2.loss_cls: 0.2854, decode.d2.loss_mask: 0.4969, decode.d2.loss_dice: 0.7497, decode.d3.loss_cls: 0.2608, decode.d3.loss_mask: 0.4898, decode.d3.loss_dice: 0.7416, decode.d4.loss_cls: 0.2474, decode.d4.loss_mask: 0.4874, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4871, decode.d5.loss_dice: 0.7330, decode.d6.loss_cls: 0.2325, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.7334, decode.d7.loss_cls: 0.2336, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7292, decode.d8.loss_cls: 0.2293, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7293, loss: 16.0085 2022-05-02 06:11:42,101 - mmseg - INFO - Iter [71900/80000] lr: 1.454e-07, eta: 4:19:50, time: 1.809, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2298, decode.loss_mask: 0.4723, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.2874, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.7997, decode.d1.loss_cls: 0.3260, decode.d1.loss_mask: 0.4915, decode.d1.loss_dice: 0.7454, decode.d2.loss_cls: 0.2850, decode.d2.loss_mask: 0.4821, decode.d2.loss_dice: 0.7247, decode.d3.loss_cls: 0.2608, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7148, decode.d4.loss_cls: 0.2514, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7141, decode.d5.loss_cls: 0.2459, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7076, decode.d6.loss_cls: 0.2380, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.7034, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4741, decode.d7.loss_dice: 0.7045, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7064, loss: 15.6253 2022-05-02 06:13:13,225 - mmseg - INFO - Iter [71950/80000] lr: 1.445e-07, eta: 4:18:13, time: 1.822, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2001, decode.loss_mask: 0.4450, decode.loss_dice: 0.6796, decode.d0.loss_cls: 1.2411, decode.d0.loss_mask: 0.4890, decode.d0.loss_dice: 0.7744, decode.d1.loss_cls: 0.3014, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7301, decode.d2.loss_cls: 0.2497, decode.d2.loss_mask: 0.4544, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2301, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6903, decode.d4.loss_cls: 0.2188, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.6921, decode.d5.loss_cls: 0.2128, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6870, decode.d6.loss_cls: 0.2007, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6834, decode.d7.loss_cls: 0.2005, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6830, decode.d8.loss_cls: 0.1995, decode.d8.loss_mask: 0.4465, decode.d8.loss_dice: 0.6865, loss: 14.8063 2022-05-02 06:14:43,506 - mmseg - INFO - Saving checkpoint at 72000 iterations 2022-05-02 06:15:12,333 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 06:15:12,335 - mmseg - INFO - Iter [72000/80000] lr: 1.436e-07, eta: 4:16:39, time: 2.380, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2236, decode.loss_mask: 0.4772, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.2513, decode.d0.loss_mask: 0.5234, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3178, decode.d1.loss_mask: 0.4974, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2722, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7187, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4839, decode.d3.loss_dice: 0.7104, decode.d4.loss_cls: 0.2427, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7084, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4803, decode.d5.loss_dice: 0.7063, decode.d6.loss_cls: 0.2305, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.6957, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4803, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2292, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.6969, loss: 15.5185 2022-05-02 06:17:14,207 - mmseg - INFO - per class results: 2022-05-02 06:17:14,216 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 82.98 | 89.65 | | building | 85.36 | 92.4 | | sky | 95.4 | 97.64 | | floor | 86.59 | 92.58 | | tree | 77.84 | 89.24 | | ceiling | 88.3 | 94.07 | | road | 86.7 | 91.73 | | bed | 93.08 | 97.7 | | windowpane | 65.84 | 81.13 | | grass | 71.01 | 82.22 | | cabinet | 62.82 | 75.22 | | sidewalk | 73.59 | 86.8 | | person | 87.8 | 94.45 | | earth | 41.52 | 54.79 | | door | 58.88 | 74.02 | | table | 70.67 | 81.22 | | mountain | 59.92 | 75.23 | | plant | 57.71 | 70.37 | | curtain | 80.64 | 89.51 | | chair | 69.33 | 79.28 | | car | 88.8 | 95.03 | | water | 65.45 | 81.17 | | painting | 78.68 | 92.33 | | sofa | 83.06 | 91.0 | | shelf | 51.41 | 67.2 | | house | 56.04 | 73.42 | | sea | 74.52 | 84.44 | | mirror | 77.2 | 87.34 | | rug | 68.39 | 82.27 | | field | 31.02 | 51.78 | | armchair | 59.63 | 80.54 | | seat | 70.51 | 88.35 | | fence | 54.6 | 73.1 | | desk | 59.2 | 79.8 | | rock | 53.85 | 72.25 | | wardrobe | 65.77 | 76.43 | | lamp | 78.6 | 88.97 | | bathtub | 88.54 | 90.95 | | railing | 41.09 | 59.62 | | cushion | 71.96 | 84.41 | | base | 44.41 | 66.94 | | box | 38.43 | 52.22 | | column | 56.36 | 70.42 | | signboard | 41.75 | 63.5 | | chest of drawers | 34.88 | 65.81 | | counter | 43.26 | 59.91 | | sand | 60.77 | 89.48 | | sink | 85.28 | 92.62 | | skyscraper | 45.21 | 56.77 | | fireplace | 81.96 | 92.93 | | refrigerator | 83.46 | 88.6 | | grandstand | 53.24 | 86.09 | | path | 27.95 | 38.9 | | stairs | 33.82 | 38.68 | | runway | 75.25 | 97.63 | | case | 65.03 | 80.0 | | pool table | 95.64 | 98.09 | | pillow | 69.94 | 80.6 | | screen door | 69.8 | 78.52 | | stairway | 42.43 | 71.23 | | river | 15.29 | 33.47 | | bridge | 80.1 | 90.32 | | bookcase | 48.04 | 70.42 | | blind | 40.63 | 47.03 | | coffee table | 69.55 | 88.06 | | toilet | 91.45 | 94.5 | | flower | 46.09 | 69.2 | | book | 58.77 | 81.43 | | hill | 6.38 | 10.01 | | bench | 55.01 | 64.59 | | countertop | 69.17 | 85.5 | | stove | 84.49 | 89.84 | | palm | 54.44 | 77.18 | | kitchen island | 52.0 | 83.54 | | computer | 83.46 | 90.5 | | swivel chair | 54.01 | 79.29 | | boat | 80.5 | 91.22 | | bar | 65.64 | 71.9 | | arcade machine | 56.18 | 63.16 | | hovel | 44.8 | 49.33 | | bus | 92.39 | 96.7 | | towel | 80.12 | 93.6 | | light | 66.61 | 80.98 | | truck | 50.2 | 66.49 | | tower | 20.46 | 36.43 | | chandelier | 75.66 | 86.86 | | awning | 54.09 | 72.91 | | streetlight | 46.34 | 63.93 | | booth | 51.08 | 90.58 | | television receiver | 82.16 | 93.95 | | airplane | 72.92 | 77.34 | | dirt track | 20.17 | 51.2 | | apparel | 58.19 | 87.38 | | pole | 36.05 | 55.46 | | land | 0.11 | 0.22 | | bannister | 21.81 | 32.06 | | escalator | 60.75 | 79.3 | | ottoman | 55.56 | 72.76 | | bottle | 32.5 | 41.08 | | buffet | 55.16 | 71.38 | | poster | 38.98 | 57.9 | | stage | 29.49 | 49.12 | | van | 46.79 | 65.85 | | ship | 58.14 | 59.76 | | fountain | 34.35 | 35.35 | | conveyer belt | 64.62 | 97.44 | | canopy | 54.15 | 82.47 | | washer | 89.14 | 94.47 | | plaything | 47.88 | 79.37 | | swimming pool | 65.97 | 75.59 | | stool | 58.12 | 79.5 | | barrel | 78.89 | 97.9 | | basket | 39.9 | 63.38 | | waterfall | 56.51 | 65.31 | | tent | 92.89 | 97.72 | | bag | 29.83 | 38.83 | | minibike | 80.34 | 92.41 | | cradle | 87.03 | 97.82 | | oven | 66.54 | 80.78 | | ball | 58.56 | 65.71 | | food | 72.88 | 85.22 | | step | 20.11 | 30.75 | | tank | 54.62 | 69.36 | | trade name | 29.72 | 37.19 | | microwave | 92.65 | 97.31 | | pot | 60.85 | 73.76 | | animal | 71.34 | 73.06 | | bicycle | 62.79 | 80.28 | | lake | 63.5 | 63.62 | | dishwasher | 75.43 | 84.96 | | screen | 58.25 | 92.85 | | blanket | 29.14 | 38.68 | | sculpture | 75.98 | 89.7 | | hood | 62.8 | 77.17 | | sconce | 63.45 | 77.93 | | vase | 53.08 | 77.56 | | traffic light | 53.03 | 71.02 | | tray | 30.58 | 43.21 | | ashcan | 51.17 | 71.74 | | fan | 72.71 | 84.94 | | pier | 36.27 | 42.46 | | crt screen | 2.64 | 8.04 | | plate | 67.14 | 82.86 | | monitor | 11.84 | 14.38 | | bulletin board | 43.98 | 61.26 | | shower | 3.76 | 28.02 | | radiator | 69.48 | 88.12 | | glass | 26.46 | 29.79 | | clock | 51.31 | 69.04 | | flag | 74.72 | 86.17 | +---------------------+-------+-------+ 2022-05-02 06:17:14,216 - mmseg - INFO - Summary: 2022-05-02 06:17:14,216 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.62 | 59.14 | 72.98 | +-------+-------+-------+ 2022-05-02 06:17:14,222 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 06:17:14,223 - mmseg - INFO - Iter(val) [125] aAcc: 0.8662, mIoU: 0.5914, mAcc: 0.7298, IoU.wall: 0.8298, IoU.building: 0.8536, IoU.sky: 0.9540, IoU.floor: 0.8659, IoU.tree: 0.7784, IoU.ceiling: 0.8830, IoU.road: 0.8670, IoU.bed : 0.9308, IoU.windowpane: 0.6584, IoU.grass: 0.7101, IoU.cabinet: 0.6282, IoU.sidewalk: 0.7359, IoU.person: 0.8780, IoU.earth: 0.4152, IoU.door: 0.5888, IoU.table: 0.7067, IoU.mountain: 0.5992, IoU.plant: 0.5771, IoU.curtain: 0.8064, IoU.chair: 0.6933, IoU.car: 0.8880, IoU.water: 0.6545, IoU.painting: 0.7868, IoU.sofa: 0.8306, IoU.shelf: 0.5141, IoU.house: 0.5604, IoU.sea: 0.7452, IoU.mirror: 0.7720, IoU.rug: 0.6839, IoU.field: 0.3102, IoU.armchair: 0.5963, IoU.seat: 0.7051, IoU.fence: 0.5460, IoU.desk: 0.5920, IoU.rock: 0.5385, IoU.wardrobe: 0.6577, IoU.lamp: 0.7860, IoU.bathtub: 0.8854, IoU.railing: 0.4109, IoU.cushion: 0.7196, IoU.base: 0.4441, IoU.box: 0.3843, IoU.column: 0.5636, IoU.signboard: 0.4175, IoU.chest of drawers: 0.3488, IoU.counter: 0.4326, IoU.sand: 0.6077, IoU.sink: 0.8528, IoU.skyscraper: 0.4521, IoU.fireplace: 0.8196, IoU.refrigerator: 0.8346, IoU.grandstand: 0.5324, IoU.path: 0.2795, IoU.stairs: 0.3382, IoU.runway: 0.7525, IoU.case: 0.6503, IoU.pool table: 0.9564, IoU.pillow: 0.6994, IoU.screen door: 0.6980, IoU.stairway: 0.4243, IoU.river: 0.1529, IoU.bridge: 0.8010, IoU.bookcase: 0.4804, IoU.blind: 0.4063, IoU.coffee table: 0.6955, IoU.toilet: 0.9145, IoU.flower: 0.4609, IoU.book: 0.5877, IoU.hill: 0.0638, IoU.bench: 0.5501, IoU.countertop: 0.6917, IoU.stove: 0.8449, IoU.palm: 0.5444, IoU.kitchen island: 0.5200, IoU.computer: 0.8346, IoU.swivel chair: 0.5401, IoU.boat: 0.8050, IoU.bar: 0.6564, IoU.arcade machine: 0.5618, IoU.hovel: 0.4480, IoU.bus: 0.9239, IoU.towel: 0.8012, IoU.light: 0.6661, IoU.truck: 0.5020, IoU.tower: 0.2046, IoU.chandelier: 0.7566, IoU.awning: 0.5409, IoU.streetlight: 0.4634, IoU.booth: 0.5108, IoU.television receiver: 0.8216, IoU.airplane: 0.7292, IoU.dirt track: 0.2017, IoU.apparel: 0.5819, IoU.pole: 0.3605, IoU.land: 0.0011, IoU.bannister: 0.2181, IoU.escalator: 0.6075, IoU.ottoman: 0.5556, IoU.bottle: 0.3250, IoU.buffet: 0.5516, IoU.poster: 0.3898, IoU.stage: 0.2949, IoU.van: 0.4679, IoU.ship: 0.5814, IoU.fountain: 0.3435, IoU.conveyer belt: 0.6462, IoU.canopy: 0.5415, IoU.washer: 0.8914, IoU.plaything: 0.4788, IoU.swimming pool: 0.6597, IoU.stool: 0.5812, IoU.barrel: 0.7889, IoU.basket: 0.3990, IoU.waterfall: 0.5651, IoU.tent: 0.9289, IoU.bag: 0.2983, IoU.minibike: 0.8034, IoU.cradle: 0.8703, IoU.oven: 0.6654, IoU.ball: 0.5856, IoU.food: 0.7288, IoU.step: 0.2011, IoU.tank: 0.5462, IoU.trade name: 0.2972, IoU.microwave: 0.9265, IoU.pot: 0.6085, IoU.animal: 0.7134, IoU.bicycle: 0.6279, IoU.lake: 0.6350, IoU.dishwasher: 0.7543, IoU.screen: 0.5825, IoU.blanket: 0.2914, IoU.sculpture: 0.7598, IoU.hood: 0.6280, IoU.sconce: 0.6345, IoU.vase: 0.5308, IoU.traffic light: 0.5303, IoU.tray: 0.3058, IoU.ashcan: 0.5117, IoU.fan: 0.7271, IoU.pier: 0.3627, IoU.crt screen: 0.0264, IoU.plate: 0.6714, IoU.monitor: 0.1184, IoU.bulletin board: 0.4398, IoU.shower: 0.0376, IoU.radiator: 0.6948, IoU.glass: 0.2646, IoU.clock: 0.5131, IoU.flag: 0.7472, Acc.wall: 0.8965, Acc.building: 0.9240, Acc.sky: 0.9764, Acc.floor: 0.9258, Acc.tree: 0.8924, Acc.ceiling: 0.9407, Acc.road: 0.9173, Acc.bed : 0.9770, Acc.windowpane: 0.8113, Acc.grass: 0.8222, Acc.cabinet: 0.7522, Acc.sidewalk: 0.8680, Acc.person: 0.9445, Acc.earth: 0.5479, Acc.door: 0.7402, Acc.table: 0.8122, Acc.mountain: 0.7523, Acc.plant: 0.7037, Acc.curtain: 0.8951, Acc.chair: 0.7928, Acc.car: 0.9503, Acc.water: 0.8117, Acc.painting: 0.9233, Acc.sofa: 0.9100, Acc.shelf: 0.6720, Acc.house: 0.7342, Acc.sea: 0.8444, Acc.mirror: 0.8734, Acc.rug: 0.8227, Acc.field: 0.5178, Acc.armchair: 0.8054, Acc.seat: 0.8835, Acc.fence: 0.7310, Acc.desk: 0.7980, Acc.rock: 0.7225, Acc.wardrobe: 0.7643, Acc.lamp: 0.8897, Acc.bathtub: 0.9095, Acc.railing: 0.5962, Acc.cushion: 0.8441, Acc.base: 0.6694, Acc.box: 0.5222, Acc.column: 0.7042, Acc.signboard: 0.6350, Acc.chest of drawers: 0.6581, Acc.counter: 0.5991, Acc.sand: 0.8948, Acc.sink: 0.9262, Acc.skyscraper: 0.5677, Acc.fireplace: 0.9293, Acc.refrigerator: 0.8860, Acc.grandstand: 0.8609, Acc.path: 0.3890, Acc.stairs: 0.3868, Acc.runway: 0.9763, Acc.case: 0.8000, Acc.pool table: 0.9809, Acc.pillow: 0.8060, Acc.screen door: 0.7852, Acc.stairway: 0.7123, Acc.river: 0.3347, Acc.bridge: 0.9032, Acc.bookcase: 0.7042, Acc.blind: 0.4703, Acc.coffee table: 0.8806, Acc.toilet: 0.9450, Acc.flower: 0.6920, Acc.book: 0.8143, Acc.hill: 0.1001, Acc.bench: 0.6459, Acc.countertop: 0.8550, Acc.stove: 0.8984, Acc.palm: 0.7718, Acc.kitchen island: 0.8354, Acc.computer: 0.9050, Acc.swivel chair: 0.7929, Acc.boat: 0.9122, Acc.bar: 0.7190, Acc.arcade machine: 0.6316, Acc.hovel: 0.4933, Acc.bus: 0.9670, Acc.towel: 0.9360, Acc.light: 0.8098, Acc.truck: 0.6649, Acc.tower: 0.3643, Acc.chandelier: 0.8686, Acc.awning: 0.7291, Acc.streetlight: 0.6393, Acc.booth: 0.9058, Acc.television receiver: 0.9395, Acc.airplane: 0.7734, Acc.dirt track: 0.5120, Acc.apparel: 0.8738, Acc.pole: 0.5546, Acc.land: 0.0022, Acc.bannister: 0.3206, Acc.escalator: 0.7930, Acc.ottoman: 0.7276, Acc.bottle: 0.4108, Acc.buffet: 0.7138, Acc.poster: 0.5790, Acc.stage: 0.4912, Acc.van: 0.6585, Acc.ship: 0.5976, Acc.fountain: 0.3535, Acc.conveyer belt: 0.9744, Acc.canopy: 0.8247, Acc.washer: 0.9447, Acc.plaything: 0.7937, Acc.swimming pool: 0.7559, Acc.stool: 0.7950, Acc.barrel: 0.9790, Acc.basket: 0.6338, Acc.waterfall: 0.6531, Acc.tent: 0.9772, Acc.bag: 0.3883, Acc.minibike: 0.9241, Acc.cradle: 0.9782, Acc.oven: 0.8078, Acc.ball: 0.6571, Acc.food: 0.8522, Acc.step: 0.3075, Acc.tank: 0.6936, Acc.trade name: 0.3719, Acc.microwave: 0.9731, Acc.pot: 0.7376, Acc.animal: 0.7306, Acc.bicycle: 0.8028, Acc.lake: 0.6362, Acc.dishwasher: 0.8496, Acc.screen: 0.9285, Acc.blanket: 0.3868, Acc.sculpture: 0.8970, Acc.hood: 0.7717, Acc.sconce: 0.7793, Acc.vase: 0.7756, Acc.traffic light: 0.7102, Acc.tray: 0.4321, Acc.ashcan: 0.7174, Acc.fan: 0.8494, Acc.pier: 0.4246, Acc.crt screen: 0.0804, Acc.plate: 0.8286, Acc.monitor: 0.1438, Acc.bulletin board: 0.6126, Acc.shower: 0.2802, Acc.radiator: 0.8812, Acc.glass: 0.2979, Acc.clock: 0.6904, Acc.flag: 0.8617 2022-05-02 06:18:48,289 - mmseg - INFO - Iter [72050/80000] lr: 1.427e-07, eta: 4:15:16, time: 4.321, data_time: 2.500, memory: 64716, decode.loss_cls: 0.2345, decode.loss_mask: 0.4564, decode.loss_dice: 0.7038, decode.d0.loss_cls: 1.2353, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.8053, decode.d1.loss_cls: 0.3243, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2808, decode.d2.loss_mask: 0.4659, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2596, decode.d3.loss_mask: 0.4610, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2516, decode.d4.loss_mask: 0.4589, decode.d4.loss_dice: 0.7154, decode.d5.loss_cls: 0.2397, decode.d5.loss_mask: 0.4597, decode.d5.loss_dice: 0.7140, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2372, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7103, decode.d8.loss_cls: 0.2355, decode.d8.loss_mask: 0.4569, decode.d8.loss_dice: 0.7064, loss: 15.4443 2022-05-02 06:20:18,298 - mmseg - INFO - Iter [72100/80000] lr: 1.418e-07, eta: 4:13:39, time: 1.800, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2169, decode.loss_mask: 0.4612, decode.loss_dice: 0.6835, decode.d0.loss_cls: 1.2188, decode.d0.loss_mask: 0.5098, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.4802, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2653, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.6985, decode.d3.loss_cls: 0.2464, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.6918, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4619, decode.d4.loss_dice: 0.6883, decode.d5.loss_cls: 0.2303, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.6916, decode.d6.loss_cls: 0.2166, decode.d6.loss_mask: 0.4614, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2165, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.6834, decode.d8.loss_cls: 0.2168, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.6820, loss: 15.0837 2022-05-02 06:21:48,685 - mmseg - INFO - Iter [72150/80000] lr: 1.409e-07, eta: 4:12:02, time: 1.808, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2154, decode.loss_mask: 0.4757, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2506, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8050, decode.d1.loss_cls: 0.3222, decode.d1.loss_mask: 0.4995, decode.d1.loss_dice: 0.7489, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.4877, decode.d2.loss_dice: 0.7274, decode.d3.loss_cls: 0.2535, decode.d3.loss_mask: 0.4815, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2426, decode.d4.loss_mask: 0.4797, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2322, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4761, decode.d6.loss_dice: 0.7050, decode.d7.loss_cls: 0.2164, decode.d7.loss_mask: 0.4770, decode.d7.loss_dice: 0.7114, decode.d8.loss_cls: 0.2151, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7068, loss: 15.5395 2022-05-02 06:23:19,217 - mmseg - INFO - Iter [72200/80000] lr: 1.400e-07, eta: 4:10:25, time: 1.811, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2263, decode.loss_mask: 0.4696, decode.loss_dice: 0.6896, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.5113, decode.d0.loss_dice: 0.7922, decode.d1.loss_cls: 0.3262, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7343, decode.d2.loss_cls: 0.2780, decode.d2.loss_mask: 0.4839, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4773, decode.d3.loss_dice: 0.7021, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4747, decode.d4.loss_dice: 0.7036, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4744, decode.d5.loss_dice: 0.7010, decode.d6.loss_cls: 0.2293, decode.d6.loss_mask: 0.4718, decode.d6.loss_dice: 0.6923, decode.d7.loss_cls: 0.2252, decode.d7.loss_mask: 0.4698, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.6914, loss: 15.4148 2022-05-02 06:24:49,463 - mmseg - INFO - Iter [72250/80000] lr: 1.391e-07, eta: 4:08:48, time: 1.803, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2189, decode.loss_mask: 0.4854, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.2565, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.8023, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7569, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4887, decode.d3.loss_dice: 0.7211, decode.d4.loss_cls: 0.2385, decode.d4.loss_mask: 0.4876, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2325, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7160, decode.d6.loss_cls: 0.2305, decode.d6.loss_mask: 0.4854, decode.d6.loss_dice: 0.7087, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2163, decode.d8.loss_mask: 0.4840, decode.d8.loss_dice: 0.7108, loss: 15.6903 2022-05-02 06:26:20,428 - mmseg - INFO - Iter [72300/80000] lr: 1.382e-07, eta: 4:07:11, time: 1.821, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2081, decode.loss_mask: 0.4550, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.2362, decode.d0.loss_mask: 0.5025, decode.d0.loss_dice: 0.7819, decode.d1.loss_cls: 0.2980, decode.d1.loss_mask: 0.4774, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2597, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.7137, decode.d3.loss_cls: 0.2409, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.6980, decode.d4.loss_cls: 0.2265, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4578, decode.d5.loss_dice: 0.6902, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4564, decode.d6.loss_dice: 0.6898, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6858, decode.d8.loss_cls: 0.2105, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6872, loss: 15.0474 2022-05-02 06:27:49,808 - mmseg - INFO - Iter [72350/80000] lr: 1.373e-07, eta: 4:05:34, time: 1.788, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2177, decode.loss_mask: 0.4482, decode.loss_dice: 0.6957, decode.d0.loss_cls: 1.2730, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.7980, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4650, decode.d1.loss_dice: 0.7467, decode.d2.loss_cls: 0.2723, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.7180, decode.d3.loss_cls: 0.2444, decode.d3.loss_mask: 0.4534, decode.d3.loss_dice: 0.7071, decode.d4.loss_cls: 0.2386, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.7071, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4500, decode.d5.loss_dice: 0.6991, decode.d6.loss_cls: 0.2266, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6936, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4477, decode.d7.loss_dice: 0.6948, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4480, decode.d8.loss_dice: 0.6968, loss: 15.1874 2022-05-02 06:29:19,906 - mmseg - INFO - Iter [72400/80000] lr: 1.364e-07, eta: 4:03:57, time: 1.802, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2385, decode.loss_mask: 0.4815, decode.loss_dice: 0.7109, decode.d0.loss_cls: 1.2627, decode.d0.loss_mask: 0.5407, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3250, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2843, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4879, decode.d3.loss_dice: 0.7231, decode.d4.loss_cls: 0.2592, decode.d4.loss_mask: 0.4883, decode.d4.loss_dice: 0.7227, decode.d5.loss_cls: 0.2525, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2464, decode.d6.loss_mask: 0.4827, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2375, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7182, decode.d8.loss_cls: 0.2408, decode.d8.loss_mask: 0.4810, decode.d8.loss_dice: 0.7183, loss: 15.9182 2022-05-02 06:30:50,914 - mmseg - INFO - Iter [72450/80000] lr: 1.355e-07, eta: 4:02:21, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2128, decode.loss_mask: 0.4714, decode.loss_dice: 0.6806, decode.d0.loss_cls: 1.2321, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.7906, decode.d1.loss_cls: 0.3023, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7382, decode.d2.loss_cls: 0.2573, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7122, decode.d3.loss_cls: 0.2384, decode.d3.loss_mask: 0.4772, decode.d3.loss_dice: 0.6965, decode.d4.loss_cls: 0.2299, decode.d4.loss_mask: 0.4780, decode.d4.loss_dice: 0.6923, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.2206, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.6843, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.6854, decode.d8.loss_cls: 0.2089, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.6865, loss: 15.2121 2022-05-02 06:32:20,921 - mmseg - INFO - Iter [72500/80000] lr: 1.346e-07, eta: 4:00:44, time: 1.800, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2173, decode.loss_mask: 0.4860, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.2430, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8143, decode.d1.loss_cls: 0.3097, decode.d1.loss_mask: 0.5072, decode.d1.loss_dice: 0.7642, decode.d2.loss_cls: 0.2718, decode.d2.loss_mask: 0.4958, decode.d2.loss_dice: 0.7386, decode.d3.loss_cls: 0.2474, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7232, decode.d4.loss_cls: 0.2341, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7200, decode.d5.loss_cls: 0.2307, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7145, decode.d6.loss_cls: 0.2269, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2193, decode.d7.loss_mask: 0.4867, decode.d7.loss_dice: 0.7132, decode.d8.loss_cls: 0.2198, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7117, loss: 15.6892 2022-05-02 06:33:51,153 - mmseg - INFO - Iter [72550/80000] lr: 1.337e-07, eta: 3:59:07, time: 1.805, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2138, decode.loss_mask: 0.4712, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2171, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.7872, decode.d1.loss_cls: 0.2966, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7421, decode.d2.loss_cls: 0.2550, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7204, decode.d3.loss_cls: 0.2395, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7062, decode.d4.loss_cls: 0.2306, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2286, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4704, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2163, decode.d7.loss_mask: 0.4691, decode.d7.loss_dice: 0.6983, decode.d8.loss_cls: 0.2127, decode.d8.loss_mask: 0.4718, decode.d8.loss_dice: 0.6969, loss: 15.2630 2022-05-02 06:35:21,541 - mmseg - INFO - Iter [72600/80000] lr: 1.328e-07, eta: 3:57:30, time: 1.808, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2249, decode.loss_mask: 0.4927, decode.loss_dice: 0.7201, decode.d0.loss_cls: 1.2371, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8164, decode.d1.loss_cls: 0.3145, decode.d1.loss_mask: 0.5153, decode.d1.loss_dice: 0.7651, decode.d2.loss_cls: 0.2722, decode.d2.loss_mask: 0.5048, decode.d2.loss_dice: 0.7435, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2395, decode.d4.loss_mask: 0.4966, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2370, decode.d5.loss_mask: 0.4982, decode.d5.loss_dice: 0.7256, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7229, decode.d7.loss_cls: 0.2265, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2292, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7229, loss: 15.8928 2022-05-02 06:36:52,113 - mmseg - INFO - Iter [72650/80000] lr: 1.319e-07, eta: 3:55:53, time: 1.810, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2198, decode.loss_mask: 0.4702, decode.loss_dice: 0.7028, decode.d0.loss_cls: 1.2676, decode.d0.loss_mask: 0.5203, decode.d0.loss_dice: 0.8034, decode.d1.loss_cls: 0.3074, decode.d1.loss_mask: 0.4977, decode.d1.loss_dice: 0.7540, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7309, decode.d3.loss_cls: 0.2429, decode.d3.loss_mask: 0.4827, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7153, decode.d5.loss_cls: 0.2280, decode.d5.loss_mask: 0.4755, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7023, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.2200, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7025, loss: 15.5016 2022-05-02 06:38:21,680 - mmseg - INFO - Iter [72700/80000] lr: 1.310e-07, eta: 3:54:16, time: 1.793, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2005, decode.loss_mask: 0.4690, decode.loss_dice: 0.6742, decode.d0.loss_cls: 1.2018, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.7593, decode.d1.loss_cls: 0.2955, decode.d1.loss_mask: 0.4885, decode.d1.loss_dice: 0.7171, decode.d2.loss_cls: 0.2491, decode.d2.loss_mask: 0.4797, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.2270, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.6841, decode.d4.loss_cls: 0.2186, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.6833, decode.d5.loss_cls: 0.2109, decode.d5.loss_mask: 0.4740, decode.d5.loss_dice: 0.6852, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4686, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.2040, decode.d7.loss_mask: 0.4689, decode.d7.loss_dice: 0.6782, decode.d8.loss_cls: 0.2003, decode.d8.loss_mask: 0.4688, decode.d8.loss_dice: 0.6745, loss: 14.9208 2022-05-02 06:39:52,320 - mmseg - INFO - Iter [72750/80000] lr: 1.301e-07, eta: 3:52:39, time: 1.813, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2280, decode.loss_mask: 0.4646, decode.loss_dice: 0.7204, decode.d0.loss_cls: 1.2845, decode.d0.loss_mask: 0.5113, decode.d0.loss_dice: 0.8127, decode.d1.loss_cls: 0.3221, decode.d1.loss_mask: 0.4842, decode.d1.loss_dice: 0.7738, decode.d2.loss_cls: 0.2773, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7483, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4704, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2506, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2381, decode.d5.loss_mask: 0.4669, decode.d5.loss_dice: 0.7291, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2353, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.7258, decode.d8.loss_cls: 0.2312, decode.d8.loss_mask: 0.4649, decode.d8.loss_dice: 0.7224, loss: 15.7143 2022-05-02 06:41:22,440 - mmseg - INFO - Iter [72800/80000] lr: 1.292e-07, eta: 3:51:02, time: 1.802, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2123, decode.loss_mask: 0.4658, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.2272, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.8087, decode.d1.loss_cls: 0.3017, decode.d1.loss_mask: 0.4915, decode.d1.loss_dice: 0.7612, decode.d2.loss_cls: 0.2614, decode.d2.loss_mask: 0.4781, decode.d2.loss_dice: 0.7410, decode.d3.loss_cls: 0.2378, decode.d3.loss_mask: 0.4723, decode.d3.loss_dice: 0.7241, decode.d4.loss_cls: 0.2279, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.7257, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4681, decode.d5.loss_dice: 0.7226, decode.d6.loss_cls: 0.2179, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.7150, decode.d7.loss_cls: 0.2126, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.7146, decode.d8.loss_cls: 0.2102, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.7154, loss: 15.4227 2022-05-02 06:42:53,371 - mmseg - INFO - Iter [72850/80000] lr: 1.283e-07, eta: 3:49:26, time: 1.818, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2174, decode.loss_mask: 0.4702, decode.loss_dice: 0.7102, decode.d0.loss_cls: 1.2452, decode.d0.loss_mask: 0.5149, decode.d0.loss_dice: 0.8061, decode.d1.loss_cls: 0.2989, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2565, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2406, decode.d3.loss_mask: 0.4732, decode.d3.loss_dice: 0.7204, decode.d4.loss_cls: 0.2327, decode.d4.loss_mask: 0.4720, decode.d4.loss_dice: 0.7210, decode.d5.loss_cls: 0.2280, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7121, decode.d6.loss_cls: 0.2202, decode.d6.loss_mask: 0.4709, decode.d6.loss_dice: 0.7106, decode.d7.loss_cls: 0.2232, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7134, decode.d8.loss_cls: 0.2171, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.7111, loss: 15.4659 2022-05-02 06:44:23,664 - mmseg - INFO - Iter [72900/80000] lr: 1.274e-07, eta: 3:47:49, time: 1.807, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2114, decode.loss_mask: 0.4762, decode.loss_dice: 0.7021, decode.d0.loss_cls: 1.2624, decode.d0.loss_mask: 0.5265, decode.d0.loss_dice: 0.7957, decode.d1.loss_cls: 0.3134, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2646, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7246, decode.d3.loss_cls: 0.2382, decode.d3.loss_mask: 0.4856, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2267, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2229, decode.d5.loss_mask: 0.4829, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2166, decode.d6.loss_mask: 0.4810, decode.d6.loss_dice: 0.7085, decode.d7.loss_cls: 0.2138, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7084, decode.d8.loss_cls: 0.2133, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7019, loss: 15.4958 2022-05-02 06:45:53,394 - mmseg - INFO - Iter [72950/80000] lr: 1.265e-07, eta: 3:46:12, time: 1.794, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2005, decode.loss_mask: 0.4682, decode.loss_dice: 0.7150, decode.d0.loss_cls: 1.2431, decode.d0.loss_mask: 0.5135, decode.d0.loss_dice: 0.7993, decode.d1.loss_cls: 0.2938, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7354, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7262, decode.d4.loss_cls: 0.2229, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2164, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7193, decode.d6.loss_cls: 0.2111, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7159, decode.d7.loss_cls: 0.2090, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7118, decode.d8.loss_cls: 0.2064, decode.d8.loss_mask: 0.4696, decode.d8.loss_dice: 0.7113, loss: 15.4021 2022-05-02 06:47:23,609 - mmseg - INFO - Saving checkpoint at 73000 iterations 2022-05-02 06:47:52,600 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 06:47:52,608 - mmseg - INFO - Iter [73000/80000] lr: 1.257e-07, eta: 3:44:38, time: 2.382, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2139, decode.loss_mask: 0.4728, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2083, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.5002, decode.d1.loss_dice: 0.7362, decode.d2.loss_cls: 0.2536, decode.d2.loss_mask: 0.4855, decode.d2.loss_dice: 0.7114, decode.d3.loss_cls: 0.2401, decode.d3.loss_mask: 0.4847, decode.d3.loss_dice: 0.6991, decode.d4.loss_cls: 0.2298, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.6984, decode.d5.loss_cls: 0.2244, decode.d5.loss_mask: 0.4778, decode.d5.loss_dice: 0.6951, decode.d6.loss_cls: 0.2183, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.6855, decode.d8.loss_cls: 0.2160, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.6856, loss: 15.2427 2022-05-02 06:49:22,980 - mmseg - INFO - Iter [73050/80000] lr: 1.248e-07, eta: 3:43:01, time: 1.809, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2106, decode.loss_mask: 0.4818, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.5275, decode.d0.loss_dice: 0.7892, decode.d1.loss_cls: 0.2980, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.7453, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4912, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2408, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7037, decode.d4.loss_cls: 0.2259, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7045, decode.d5.loss_cls: 0.2216, decode.d5.loss_mask: 0.4832, decode.d5.loss_dice: 0.7050, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2131, decode.d7.loss_mask: 0.4841, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.2138, decode.d8.loss_mask: 0.4831, decode.d8.loss_dice: 0.6977, loss: 15.3909 2022-05-02 06:50:53,382 - mmseg - INFO - Iter [73100/80000] lr: 1.239e-07, eta: 3:41:24, time: 1.809, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2130, decode.loss_mask: 0.4867, decode.loss_dice: 0.7285, decode.d0.loss_cls: 1.2530, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8182, decode.d1.loss_cls: 0.3095, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7724, decode.d2.loss_cls: 0.2590, decode.d2.loss_mask: 0.4997, decode.d2.loss_dice: 0.7474, decode.d3.loss_cls: 0.2408, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7403, decode.d4.loss_cls: 0.2321, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7363, decode.d5.loss_cls: 0.2206, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2160, decode.d6.loss_mask: 0.4878, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2104, decode.d7.loss_mask: 0.4868, decode.d7.loss_dice: 0.7279, decode.d8.loss_cls: 0.2066, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7323, loss: 15.7966 2022-05-02 06:52:23,565 - mmseg - INFO - Iter [73150/80000] lr: 1.230e-07, eta: 3:39:47, time: 1.804, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2132, decode.loss_mask: 0.4698, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.2451, decode.d0.loss_mask: 0.5158, decode.d0.loss_dice: 0.7798, decode.d1.loss_cls: 0.3081, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2601, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.4768, decode.d3.loss_dice: 0.6963, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2211, decode.d5.loss_mask: 0.4736, decode.d5.loss_dice: 0.6943, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.6854, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4711, decode.d8.loss_dice: 0.6869, loss: 15.2317 2022-05-02 06:53:54,327 - mmseg - INFO - Iter [73200/80000] lr: 1.221e-07, eta: 3:38:10, time: 1.815, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2252, decode.loss_mask: 0.4630, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.2835, decode.d0.loss_mask: 0.5032, decode.d0.loss_dice: 0.8064, decode.d1.loss_cls: 0.3227, decode.d1.loss_mask: 0.4826, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2793, decode.d2.loss_mask: 0.4723, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2569, decode.d3.loss_mask: 0.4680, decode.d3.loss_dice: 0.7211, decode.d4.loss_cls: 0.2440, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7235, decode.d5.loss_cls: 0.2352, decode.d5.loss_mask: 0.4644, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2333, decode.d6.loss_mask: 0.4639, decode.d6.loss_dice: 0.7143, decode.d7.loss_cls: 0.2256, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2257, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.7094, loss: 15.5657 2022-05-02 06:55:24,796 - mmseg - INFO - Iter [73250/80000] lr: 1.212e-07, eta: 3:36:34, time: 1.809, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2310, decode.loss_mask: 0.4696, decode.loss_dice: 0.6907, decode.d0.loss_cls: 1.2887, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7871, decode.d1.loss_cls: 0.3177, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7390, decode.d2.loss_cls: 0.2828, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2554, decode.d3.loss_mask: 0.4758, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.6970, decode.d5.loss_cls: 0.2394, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2347, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2319, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.6919, decode.d8.loss_cls: 0.2325, decode.d8.loss_mask: 0.4691, decode.d8.loss_dice: 0.6912, loss: 15.4441 2022-05-02 06:56:54,575 - mmseg - INFO - Iter [73300/80000] lr: 1.203e-07, eta: 3:34:57, time: 1.795, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2301, decode.loss_mask: 0.4815, decode.loss_dice: 0.7038, decode.d0.loss_cls: 1.2613, decode.d0.loss_mask: 0.5312, decode.d0.loss_dice: 0.7993, decode.d1.loss_cls: 0.3223, decode.d1.loss_mask: 0.5023, decode.d1.loss_dice: 0.7535, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.4905, decode.d2.loss_dice: 0.7251, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4879, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2492, decode.d4.loss_mask: 0.4871, decode.d4.loss_dice: 0.7129, decode.d5.loss_cls: 0.2445, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2386, decode.d6.loss_mask: 0.4818, decode.d6.loss_dice: 0.7062, decode.d7.loss_cls: 0.2386, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7005, decode.d8.loss_cls: 0.2321, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7040, loss: 15.7011 2022-05-02 06:58:28,396 - mmseg - INFO - Iter [73350/80000] lr: 1.194e-07, eta: 3:33:20, time: 1.876, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2175, decode.loss_mask: 0.4678, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.2440, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.4858, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.4777, decode.d2.loss_dice: 0.7117, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.2385, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.2207, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6916, decode.d7.loss_cls: 0.2210, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6891, decode.d8.loss_cls: 0.2212, decode.d8.loss_mask: 0.4661, decode.d8.loss_dice: 0.6866, loss: 15.2459 2022-05-02 06:59:58,031 - mmseg - INFO - Iter [73400/80000] lr: 1.185e-07, eta: 3:31:44, time: 1.793, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2041, decode.loss_mask: 0.4546, decode.loss_dice: 0.6847, decode.d0.loss_cls: 1.2612, decode.d0.loss_mask: 0.5019, decode.d0.loss_dice: 0.7902, decode.d1.loss_cls: 0.3005, decode.d1.loss_mask: 0.4755, decode.d1.loss_dice: 0.7374, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.7012, decode.d4.loss_cls: 0.2243, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2183, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.6959, decode.d6.loss_cls: 0.2108, decode.d6.loss_mask: 0.4551, decode.d6.loss_dice: 0.6881, decode.d7.loss_cls: 0.2049, decode.d7.loss_mask: 0.4560, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.2051, decode.d8.loss_mask: 0.4552, decode.d8.loss_dice: 0.6891, loss: 15.0527 2022-05-02 07:01:28,321 - mmseg - INFO - Iter [73450/80000] lr: 1.176e-07, eta: 3:30:07, time: 1.807, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2123, decode.loss_mask: 0.4670, decode.loss_dice: 0.6776, decode.d0.loss_cls: 1.2699, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.7704, decode.d1.loss_cls: 0.3082, decode.d1.loss_mask: 0.4860, decode.d1.loss_dice: 0.7205, decode.d2.loss_cls: 0.2543, decode.d2.loss_mask: 0.4787, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.4717, decode.d3.loss_dice: 0.6876, decode.d4.loss_cls: 0.2254, decode.d4.loss_mask: 0.4746, decode.d4.loss_dice: 0.6899, decode.d5.loss_cls: 0.2218, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.6841, decode.d6.loss_cls: 0.2174, decode.d6.loss_mask: 0.4692, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.2114, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.6806, decode.d8.loss_cls: 0.2108, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.6799, loss: 15.0962 2022-05-02 07:03:00,351 - mmseg - INFO - Iter [73500/80000] lr: 1.167e-07, eta: 3:28:30, time: 1.840, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2107, decode.loss_mask: 0.4768, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.2534, decode.d0.loss_mask: 0.5272, decode.d0.loss_dice: 0.8252, decode.d1.loss_cls: 0.3078, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7701, decode.d2.loss_cls: 0.2596, decode.d2.loss_mask: 0.4899, decode.d2.loss_dice: 0.7423, decode.d3.loss_cls: 0.2358, decode.d3.loss_mask: 0.4854, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2317, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7242, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7245, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7200, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7155, decode.d8.loss_cls: 0.2141, decode.d8.loss_mask: 0.4783, decode.d8.loss_dice: 0.7162, loss: 15.6395 2022-05-02 07:04:31,126 - mmseg - INFO - Iter [73550/80000] lr: 1.158e-07, eta: 3:26:53, time: 1.816, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2115, decode.loss_mask: 0.4738, decode.loss_dice: 0.7021, decode.d0.loss_cls: 1.2334, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.7902, decode.d1.loss_cls: 0.2981, decode.d1.loss_mask: 0.4929, decode.d1.loss_dice: 0.7470, decode.d2.loss_cls: 0.2641, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7240, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4790, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2334, decode.d4.loss_mask: 0.4763, decode.d4.loss_dice: 0.7092, decode.d5.loss_cls: 0.2287, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7045, decode.d6.loss_cls: 0.2243, decode.d6.loss_mask: 0.4744, decode.d6.loss_dice: 0.7019, decode.d7.loss_cls: 0.2135, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.7024, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4736, decode.d8.loss_dice: 0.7010, loss: 15.3861 2022-05-02 07:06:01,474 - mmseg - INFO - Iter [73600/80000] lr: 1.149e-07, eta: 3:25:17, time: 1.805, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2173, decode.loss_mask: 0.4817, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.2626, decode.d0.loss_mask: 0.5257, decode.d0.loss_dice: 0.8010, decode.d1.loss_cls: 0.3026, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7541, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4915, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2445, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7167, decode.d4.loss_cls: 0.2335, decode.d4.loss_mask: 0.4853, decode.d4.loss_dice: 0.7157, decode.d5.loss_cls: 0.2305, decode.d5.loss_mask: 0.4833, decode.d5.loss_dice: 0.7109, decode.d6.loss_cls: 0.2216, decode.d6.loss_mask: 0.4810, decode.d6.loss_dice: 0.7052, decode.d7.loss_cls: 0.2229, decode.d7.loss_mask: 0.4794, decode.d7.loss_dice: 0.7058, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7065, loss: 15.5713 2022-05-02 07:07:31,360 - mmseg - INFO - Iter [73650/80000] lr: 1.140e-07, eta: 3:23:40, time: 1.798, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2066, decode.loss_mask: 0.4620, decode.loss_dice: 0.6847, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.5040, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.2952, decode.d1.loss_mask: 0.4825, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2507, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7052, decode.d3.loss_cls: 0.2377, decode.d3.loss_mask: 0.4688, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4647, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4644, decode.d5.loss_dice: 0.6889, decode.d6.loss_cls: 0.2088, decode.d6.loss_mask: 0.4626, decode.d6.loss_dice: 0.6836, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6862, decode.d8.loss_cls: 0.2035, decode.d8.loss_mask: 0.4635, decode.d8.loss_dice: 0.6871, loss: 15.0309 2022-05-02 07:09:00,363 - mmseg - INFO - Iter [73700/80000] lr: 1.131e-07, eta: 3:22:03, time: 1.779, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2237, decode.loss_mask: 0.4745, decode.loss_dice: 0.7020, decode.d0.loss_cls: 1.2797, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.7911, decode.d1.loss_cls: 0.3216, decode.d1.loss_mask: 0.4978, decode.d1.loss_dice: 0.7513, decode.d2.loss_cls: 0.2677, decode.d2.loss_mask: 0.4837, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4775, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2244, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.7064, decode.d7.loss_cls: 0.2268, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7058, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7025, loss: 15.5468 2022-05-02 07:10:30,498 - mmseg - INFO - Iter [73750/80000] lr: 1.122e-07, eta: 3:20:26, time: 1.804, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2142, decode.loss_mask: 0.4788, decode.loss_dice: 0.6998, decode.d0.loss_cls: 1.2174, decode.d0.loss_mask: 0.5218, decode.d0.loss_dice: 0.7986, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.5021, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2645, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.2322, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2294, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7093, decode.d6.loss_cls: 0.2230, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7039, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4808, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2211, decode.d8.loss_mask: 0.4787, decode.d8.loss_dice: 0.7026, loss: 15.4816 2022-05-02 07:12:01,449 - mmseg - INFO - Iter [73800/80000] lr: 1.113e-07, eta: 3:18:50, time: 1.819, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2234, decode.loss_mask: 0.4489, decode.loss_dice: 0.6823, decode.d0.loss_cls: 1.2660, decode.d0.loss_mask: 0.4948, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.3253, decode.d1.loss_mask: 0.4718, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2719, decode.d2.loss_mask: 0.4616, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2584, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.6977, decode.d4.loss_cls: 0.2415, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6919, decode.d5.loss_cls: 0.2388, decode.d5.loss_mask: 0.4510, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.2274, decode.d6.loss_mask: 0.4481, decode.d6.loss_dice: 0.6870, decode.d7.loss_cls: 0.2225, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6846, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4503, decode.d8.loss_dice: 0.6854, loss: 15.1245 2022-05-02 07:13:32,013 - mmseg - INFO - Iter [73850/80000] lr: 1.104e-07, eta: 3:17:13, time: 1.811, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2132, decode.loss_mask: 0.4586, decode.loss_dice: 0.7006, decode.d0.loss_cls: 1.2271, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7939, decode.d1.loss_cls: 0.3137, decode.d1.loss_mask: 0.4760, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2599, decode.d2.loss_mask: 0.4669, decode.d2.loss_dice: 0.7244, decode.d3.loss_cls: 0.2395, decode.d3.loss_mask: 0.4621, decode.d3.loss_dice: 0.7114, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4616, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4609, decode.d5.loss_dice: 0.7046, decode.d6.loss_cls: 0.2188, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.7042, decode.d7.loss_cls: 0.2141, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6999, decode.d8.loss_cls: 0.2113, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.7001, loss: 15.2025 2022-05-02 07:15:01,269 - mmseg - INFO - Iter [73900/80000] lr: 1.095e-07, eta: 3:15:36, time: 1.786, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2229, decode.loss_mask: 0.4558, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2408, decode.d0.loss_mask: 0.5069, decode.d0.loss_dice: 0.7881, decode.d1.loss_cls: 0.3214, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7371, decode.d2.loss_cls: 0.2724, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7110, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2408, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2342, decode.d5.loss_mask: 0.4590, decode.d5.loss_dice: 0.6932, decode.d6.loss_cls: 0.2309, decode.d6.loss_mask: 0.4584, decode.d6.loss_dice: 0.6903, decode.d7.loss_cls: 0.2243, decode.d7.loss_mask: 0.4582, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.6868, loss: 15.2206 2022-05-02 07:16:31,811 - mmseg - INFO - Iter [73950/80000] lr: 1.086e-07, eta: 3:14:00, time: 1.809, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2270, decode.loss_mask: 0.4580, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.2291, decode.d0.loss_mask: 0.4996, decode.d0.loss_dice: 0.7792, decode.d1.loss_cls: 0.3011, decode.d1.loss_mask: 0.4830, decode.d1.loss_dice: 0.7373, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4672, decode.d2.loss_dice: 0.7071, decode.d3.loss_cls: 0.2482, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.6979, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4597, decode.d5.loss_dice: 0.6944, decode.d6.loss_cls: 0.2312, decode.d6.loss_mask: 0.4585, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2286, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4578, decode.d8.loss_dice: 0.6851, loss: 15.1625 2022-05-02 07:18:02,183 - mmseg - INFO - Saving checkpoint at 74000 iterations 2022-05-02 07:18:31,511 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 07:18:31,518 - mmseg - INFO - Iter [74000/80000] lr: 1.077e-07, eta: 3:12:25, time: 2.394, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2101, decode.loss_mask: 0.4633, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.2644, decode.d0.loss_mask: 0.5121, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.3124, decode.d1.loss_mask: 0.4849, decode.d1.loss_dice: 0.7311, decode.d2.loss_cls: 0.2685, decode.d2.loss_mask: 0.4690, decode.d2.loss_dice: 0.7067, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4646, decode.d3.loss_dice: 0.6927, decode.d4.loss_cls: 0.2279, decode.d4.loss_mask: 0.4691, decode.d4.loss_dice: 0.6966, decode.d5.loss_cls: 0.2268, decode.d5.loss_mask: 0.4646, decode.d5.loss_dice: 0.6923, decode.d6.loss_cls: 0.2169, decode.d6.loss_mask: 0.4654, decode.d6.loss_dice: 0.6901, decode.d7.loss_cls: 0.2121, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6923, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.6886, loss: 15.1815 2022-05-02 07:20:02,969 - mmseg - INFO - Iter [74050/80000] lr: 1.068e-07, eta: 3:10:49, time: 1.830, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2197, decode.loss_mask: 0.4688, decode.loss_dice: 0.7078, decode.d0.loss_cls: 1.2465, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.8074, decode.d1.loss_cls: 0.3066, decode.d1.loss_mask: 0.4905, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.4771, decode.d2.loss_dice: 0.7260, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4764, decode.d3.loss_dice: 0.7208, decode.d4.loss_cls: 0.2411, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2329, decode.d6.loss_mask: 0.4701, decode.d6.loss_dice: 0.7102, decode.d7.loss_cls: 0.2265, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2198, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7101, loss: 15.5199 2022-05-02 07:21:32,682 - mmseg - INFO - Iter [74100/80000] lr: 1.059e-07, eta: 3:09:12, time: 1.795, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2199, decode.loss_mask: 0.4708, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.2547, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.8123, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7627, decode.d2.loss_cls: 0.2718, decode.d2.loss_mask: 0.4826, decode.d2.loss_dice: 0.7381, decode.d3.loss_cls: 0.2536, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7264, decode.d4.loss_cls: 0.2405, decode.d4.loss_mask: 0.4752, decode.d4.loss_dice: 0.7257, decode.d5.loss_cls: 0.2365, decode.d5.loss_mask: 0.4758, decode.d5.loss_dice: 0.7189, decode.d6.loss_cls: 0.2320, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2279, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7147, decode.d8.loss_cls: 0.2217, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.7126, loss: 15.6295 2022-05-02 07:23:02,466 - mmseg - INFO - Iter [74150/80000] lr: 1.050e-07, eta: 3:07:35, time: 1.795, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2272, decode.loss_mask: 0.4718, decode.loss_dice: 0.6975, decode.d0.loss_cls: 1.2764, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8025, decode.d1.loss_cls: 0.3287, decode.d1.loss_mask: 0.5014, decode.d1.loss_dice: 0.7540, decode.d2.loss_cls: 0.2721, decode.d2.loss_mask: 0.4885, decode.d2.loss_dice: 0.7264, decode.d3.loss_cls: 0.2590, decode.d3.loss_mask: 0.4818, decode.d3.loss_dice: 0.7131, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7108, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4805, decode.d5.loss_dice: 0.7073, decode.d6.loss_cls: 0.2300, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.7037, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4752, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7036, loss: 15.6022 2022-05-02 07:24:32,760 - mmseg - INFO - Iter [74200/80000] lr: 1.041e-07, eta: 3:05:59, time: 1.806, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2132, decode.loss_mask: 0.4601, decode.loss_dice: 0.6892, decode.d0.loss_cls: 1.2399, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7979, decode.d1.loss_cls: 0.2998, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7430, decode.d2.loss_cls: 0.2567, decode.d2.loss_mask: 0.4713, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2440, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4668, decode.d4.loss_dice: 0.7003, decode.d5.loss_cls: 0.2305, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.2171, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6945, decode.d7.loss_cls: 0.2180, decode.d7.loss_mask: 0.4618, decode.d7.loss_dice: 0.6932, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.6947, loss: 15.2200 2022-05-02 07:26:03,046 - mmseg - INFO - Iter [74250/80000] lr: 1.032e-07, eta: 3:04:22, time: 1.806, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2266, decode.loss_mask: 0.4844, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2500, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3173, decode.d1.loss_mask: 0.5107, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2797, decode.d2.loss_mask: 0.4972, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2637, decode.d3.loss_mask: 0.4930, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2477, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7219, decode.d5.loss_cls: 0.2424, decode.d5.loss_mask: 0.4881, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7162, decode.d7.loss_cls: 0.2311, decode.d7.loss_mask: 0.4864, decode.d7.loss_dice: 0.7180, decode.d8.loss_cls: 0.2292, decode.d8.loss_mask: 0.4857, decode.d8.loss_dice: 0.7161, loss: 15.8240 2022-05-02 07:27:33,630 - mmseg - INFO - Iter [74300/80000] lr: 1.023e-07, eta: 3:02:45, time: 1.812, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2357, decode.loss_mask: 0.4553, decode.loss_dice: 0.7017, decode.d0.loss_cls: 1.2938, decode.d0.loss_mask: 0.5034, decode.d0.loss_dice: 0.8022, decode.d1.loss_cls: 0.3390, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7587, decode.d2.loss_cls: 0.2913, decode.d2.loss_mask: 0.4694, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2646, decode.d3.loss_mask: 0.4626, decode.d3.loss_dice: 0.7109, decode.d4.loss_cls: 0.2544, decode.d4.loss_mask: 0.4602, decode.d4.loss_dice: 0.7095, decode.d5.loss_cls: 0.2505, decode.d5.loss_mask: 0.4582, decode.d5.loss_dice: 0.7061, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.4559, decode.d6.loss_dice: 0.6980, decode.d7.loss_cls: 0.2342, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2344, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.7026, loss: 15.5248 2022-05-02 07:29:04,015 - mmseg - INFO - Iter [74350/80000] lr: 1.014e-07, eta: 3:01:09, time: 1.807, data_time: 0.012, memory: 64716, decode.loss_cls: 0.2223, decode.loss_mask: 0.4458, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.2576, decode.d0.loss_mask: 0.4947, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.4708, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2732, decode.d2.loss_mask: 0.4564, decode.d2.loss_dice: 0.7254, decode.d3.loss_cls: 0.2552, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4493, decode.d4.loss_dice: 0.7111, decode.d5.loss_cls: 0.2355, decode.d5.loss_mask: 0.4469, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2298, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.7028, decode.d7.loss_cls: 0.2262, decode.d7.loss_mask: 0.4467, decode.d7.loss_dice: 0.7053, decode.d8.loss_cls: 0.2252, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.7041, loss: 15.2539 2022-05-02 07:30:34,307 - mmseg - INFO - Iter [74400/80000] lr: 1.005e-07, eta: 2:59:32, time: 1.807, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2128, decode.loss_mask: 0.4542, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.4968, decode.d0.loss_dice: 0.7879, decode.d1.loss_cls: 0.3079, decode.d1.loss_mask: 0.4695, decode.d1.loss_dice: 0.7341, decode.d2.loss_cls: 0.2721, decode.d2.loss_mask: 0.4595, decode.d2.loss_dice: 0.7115, decode.d3.loss_cls: 0.2463, decode.d3.loss_mask: 0.4580, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2313, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.6991, decode.d5.loss_cls: 0.2224, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6973, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4539, decode.d6.loss_dice: 0.6925, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4549, decode.d7.loss_dice: 0.6965, decode.d8.loss_cls: 0.2122, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6952, loss: 15.1244 2022-05-02 07:32:04,494 - mmseg - INFO - Iter [74450/80000] lr: 9.963e-08, eta: 2:57:55, time: 1.803, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2128, decode.loss_mask: 0.4567, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.2673, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7849, decode.d1.loss_cls: 0.3123, decode.d1.loss_mask: 0.4797, decode.d1.loss_dice: 0.7413, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.7109, decode.d3.loss_cls: 0.2443, decode.d3.loss_mask: 0.4644, decode.d3.loss_dice: 0.7002, decode.d4.loss_cls: 0.2349, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.6934, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.6898, decode.d6.loss_cls: 0.2217, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6919, decode.d7.loss_cls: 0.2176, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.6878, decode.d8.loss_cls: 0.2125, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6888, loss: 15.1480 2022-05-02 07:33:34,303 - mmseg - INFO - Iter [74500/80000] lr: 9.873e-08, eta: 2:56:19, time: 1.797, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2037, decode.loss_mask: 0.4766, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.2076, decode.d0.loss_mask: 0.5254, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.2926, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7518, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7247, decode.d3.loss_cls: 0.2278, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.7132, decode.d4.loss_cls: 0.2239, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.7116, decode.d5.loss_cls: 0.2214, decode.d5.loss_mask: 0.4807, decode.d5.loss_dice: 0.7060, decode.d6.loss_cls: 0.2126, decode.d6.loss_mask: 0.4788, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.2112, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2048, decode.d8.loss_mask: 0.4757, decode.d8.loss_dice: 0.7040, loss: 15.3425 2022-05-02 07:35:04,388 - mmseg - INFO - Iter [74550/80000] lr: 9.783e-08, eta: 2:54:42, time: 1.800, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2183, decode.loss_mask: 0.4792, decode.loss_dice: 0.7060, decode.d0.loss_cls: 1.2282, decode.d0.loss_mask: 0.5286, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.3032, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2736, decode.d2.loss_mask: 0.4890, decode.d2.loss_dice: 0.7248, decode.d3.loss_cls: 0.2488, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7153, decode.d4.loss_cls: 0.2394, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2318, decode.d5.loss_mask: 0.4830, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2221, decode.d7.loss_mask: 0.4769, decode.d7.loss_dice: 0.7078, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.7030, loss: 15.5456 2022-05-02 07:36:37,425 - mmseg - INFO - Iter [74600/80000] lr: 9.693e-08, eta: 2:53:06, time: 1.861, data_time: 0.062, memory: 64716, decode.loss_cls: 0.2050, decode.loss_mask: 0.4530, decode.loss_dice: 0.6744, decode.d0.loss_cls: 1.2410, decode.d0.loss_mask: 0.4934, decode.d0.loss_dice: 0.7629, decode.d1.loss_cls: 0.2937, decode.d1.loss_mask: 0.4787, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4645, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4582, decode.d3.loss_dice: 0.6857, decode.d4.loss_cls: 0.2261, decode.d4.loss_mask: 0.4577, decode.d4.loss_dice: 0.6826, decode.d5.loss_cls: 0.2207, decode.d5.loss_mask: 0.4547, decode.d5.loss_dice: 0.6810, decode.d6.loss_cls: 0.2147, decode.d6.loss_mask: 0.4515, decode.d6.loss_dice: 0.6754, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6807, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4506, decode.d8.loss_dice: 0.6747, loss: 14.8611 2022-05-02 07:38:08,050 - mmseg - INFO - Iter [74650/80000] lr: 9.604e-08, eta: 2:51:29, time: 1.812, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2022, decode.loss_mask: 0.4595, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.2264, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7746, decode.d1.loss_cls: 0.2946, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2514, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2331, decode.d3.loss_mask: 0.4653, decode.d3.loss_dice: 0.7021, decode.d4.loss_cls: 0.2235, decode.d4.loss_mask: 0.4644, decode.d4.loss_dice: 0.6954, decode.d5.loss_cls: 0.2157, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6937, decode.d6.loss_cls: 0.2091, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6930, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.2010, decode.d8.loss_mask: 0.4599, decode.d8.loss_dice: 0.6873, loss: 15.0289 2022-05-02 07:39:37,744 - mmseg - INFO - Iter [74700/80000] lr: 9.514e-08, eta: 2:49:53, time: 1.795, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2305, decode.loss_mask: 0.4603, decode.loss_dice: 0.6824, decode.d0.loss_cls: 1.2466, decode.d0.loss_mask: 0.5021, decode.d0.loss_dice: 0.7836, decode.d1.loss_cls: 0.3181, decode.d1.loss_mask: 0.4820, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2707, decode.d2.loss_mask: 0.4737, decode.d2.loss_dice: 0.7085, decode.d3.loss_cls: 0.2576, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.6957, decode.d4.loss_cls: 0.2430, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2388, decode.d5.loss_mask: 0.4628, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4627, decode.d6.loss_dice: 0.6866, decode.d7.loss_cls: 0.2335, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.6871, decode.d8.loss_cls: 0.2280, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.6857, loss: 15.2400 2022-05-02 07:41:08,848 - mmseg - INFO - Iter [74750/80000] lr: 9.424e-08, eta: 2:48:16, time: 1.822, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2073, decode.loss_mask: 0.4647, decode.loss_dice: 0.6943, decode.d0.loss_cls: 1.2481, decode.d0.loss_mask: 0.5066, decode.d0.loss_dice: 0.7827, decode.d1.loss_cls: 0.2979, decode.d1.loss_mask: 0.4925, decode.d1.loss_dice: 0.7373, decode.d2.loss_cls: 0.2585, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.7129, decode.d3.loss_cls: 0.2342, decode.d3.loss_mask: 0.4705, decode.d3.loss_dice: 0.7039, decode.d4.loss_cls: 0.2216, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.7046, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2184, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2174, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6919, decode.d8.loss_cls: 0.2128, decode.d8.loss_mask: 0.4647, decode.d8.loss_dice: 0.6910, loss: 15.1975 2022-05-02 07:42:39,399 - mmseg - INFO - Iter [74800/80000] lr: 9.334e-08, eta: 2:46:39, time: 1.810, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2099, decode.loss_mask: 0.4747, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.5246, decode.d0.loss_dice: 0.8070, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4946, decode.d1.loss_dice: 0.7529, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4816, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2395, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2313, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.7105, decode.d5.loss_cls: 0.2255, decode.d5.loss_mask: 0.4768, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2157, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2164, decode.d7.loss_mask: 0.4756, decode.d7.loss_dice: 0.7082, decode.d8.loss_cls: 0.2140, decode.d8.loss_mask: 0.4748, decode.d8.loss_dice: 0.7051, loss: 15.4608 2022-05-02 07:44:09,730 - mmseg - INFO - Iter [74850/80000] lr: 9.245e-08, eta: 2:45:03, time: 1.807, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2216, decode.loss_mask: 0.4717, decode.loss_dice: 0.7259, decode.d0.loss_cls: 1.2582, decode.d0.loss_mask: 0.5155, decode.d0.loss_dice: 0.8102, decode.d1.loss_cls: 0.3354, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.4819, decode.d2.loss_dice: 0.7389, decode.d3.loss_cls: 0.2632, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7297, decode.d4.loss_cls: 0.2515, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7239, decode.d5.loss_cls: 0.2380, decode.d5.loss_mask: 0.4749, decode.d5.loss_dice: 0.7295, decode.d6.loss_cls: 0.2376, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7188, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2288, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.7202, loss: 15.7350 2022-05-02 07:45:40,587 - mmseg - INFO - Iter [74900/80000] lr: 9.155e-08, eta: 2:43:26, time: 1.818, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2350, decode.loss_mask: 0.4675, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.2651, decode.d0.loss_mask: 0.5143, decode.d0.loss_dice: 0.8015, decode.d1.loss_cls: 0.3202, decode.d1.loss_mask: 0.4875, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2825, decode.d2.loss_mask: 0.4764, decode.d2.loss_dice: 0.7269, decode.d3.loss_cls: 0.2625, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7136, decode.d4.loss_cls: 0.2459, decode.d4.loss_mask: 0.4724, decode.d4.loss_dice: 0.7123, decode.d5.loss_cls: 0.2396, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.7061, decode.d6.loss_cls: 0.2334, decode.d6.loss_mask: 0.4692, decode.d6.loss_dice: 0.7096, decode.d7.loss_cls: 0.2315, decode.d7.loss_mask: 0.4680, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2313, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.7042, loss: 15.5559 2022-05-02 07:47:10,606 - mmseg - INFO - Iter [74950/80000] lr: 9.065e-08, eta: 2:41:50, time: 1.799, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2409, decode.loss_mask: 0.4612, decode.loss_dice: 0.7163, decode.d0.loss_cls: 1.3075, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.8224, decode.d1.loss_cls: 0.3393, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.2882, decode.d2.loss_mask: 0.4731, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2773, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7281, decode.d4.loss_cls: 0.2596, decode.d4.loss_mask: 0.4644, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.7177, decode.d6.loss_cls: 0.2513, decode.d6.loss_mask: 0.4621, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2414, decode.d7.loss_mask: 0.4616, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2391, decode.d8.loss_mask: 0.4600, decode.d8.loss_dice: 0.7182, loss: 15.7860 2022-05-02 07:48:41,300 - mmseg - INFO - Saving checkpoint at 75000 iterations 2022-05-02 07:49:10,673 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 07:49:10,684 - mmseg - INFO - Iter [75000/80000] lr: 8.976e-08, eta: 2:40:15, time: 2.400, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2209, decode.loss_mask: 0.4497, decode.loss_dice: 0.6792, decode.d0.loss_cls: 1.2275, decode.d0.loss_mask: 0.4962, decode.d0.loss_dice: 0.7840, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.4686, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2711, decode.d2.loss_mask: 0.4592, decode.d2.loss_dice: 0.7055, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4564, decode.d3.loss_dice: 0.6973, decode.d4.loss_cls: 0.2367, decode.d4.loss_mask: 0.4540, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.2320, decode.d6.loss_mask: 0.4507, decode.d6.loss_dice: 0.6824, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.2258, decode.d8.loss_mask: 0.4500, decode.d8.loss_dice: 0.6879, loss: 15.0573 2022-05-02 07:50:42,595 - mmseg - INFO - Iter [75050/80000] lr: 8.886e-08, eta: 2:38:39, time: 1.841, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2137, decode.loss_mask: 0.4671, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7911, decode.d1.loss_cls: 0.3015, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7543, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7304, decode.d3.loss_cls: 0.2363, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2274, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.7130, decode.d5.loss_cls: 0.2247, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7144, decode.d6.loss_cls: 0.2202, decode.d6.loss_mask: 0.4704, decode.d6.loss_dice: 0.7066, decode.d7.loss_cls: 0.2149, decode.d7.loss_mask: 0.4685, decode.d7.loss_dice: 0.7059, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.7013, loss: 15.3751 2022-05-02 07:52:12,864 - mmseg - INFO - Iter [75100/80000] lr: 8.796e-08, eta: 2:37:02, time: 1.805, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2077, decode.loss_mask: 0.4683, decode.loss_dice: 0.7036, decode.d0.loss_cls: 1.2271, decode.d0.loss_mask: 0.5173, decode.d0.loss_dice: 0.7972, decode.d1.loss_cls: 0.3024, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7493, decode.d2.loss_cls: 0.2577, decode.d2.loss_mask: 0.4807, decode.d2.loss_dice: 0.7257, decode.d3.loss_cls: 0.2363, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7134, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2196, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7118, decode.d6.loss_cls: 0.2116, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7081, decode.d7.loss_cls: 0.2115, decode.d7.loss_mask: 0.4712, decode.d7.loss_dice: 0.7086, decode.d8.loss_cls: 0.2127, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7063, loss: 15.3433 2022-05-02 07:53:43,623 - mmseg - INFO - Iter [75150/80000] lr: 8.706e-08, eta: 2:35:26, time: 1.816, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2126, decode.loss_mask: 0.4762, decode.loss_dice: 0.7038, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7944, decode.d1.loss_cls: 0.3163, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7502, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4819, decode.d2.loss_dice: 0.7281, decode.d3.loss_cls: 0.2420, decode.d3.loss_mask: 0.4768, decode.d3.loss_dice: 0.7085, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4789, decode.d4.loss_dice: 0.7103, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4766, decode.d5.loss_dice: 0.7099, decode.d6.loss_cls: 0.2170, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7054, decode.d7.loss_cls: 0.2104, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7039, decode.d8.loss_cls: 0.2134, decode.d8.loss_mask: 0.4752, decode.d8.loss_dice: 0.7025, loss: 15.4199 2022-05-02 07:55:12,874 - mmseg - INFO - Iter [75200/80000] lr: 8.617e-08, eta: 2:33:49, time: 1.785, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2392, decode.loss_mask: 0.4862, decode.loss_dice: 0.7219, decode.d0.loss_cls: 1.2767, decode.d0.loss_mask: 0.5282, decode.d0.loss_dice: 0.8127, decode.d1.loss_cls: 0.3351, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7672, decode.d2.loss_cls: 0.2829, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7385, decode.d3.loss_cls: 0.2748, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7278, decode.d4.loss_cls: 0.2612, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7236, decode.d5.loss_cls: 0.2565, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7216, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7203, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.4855, decode.d7.loss_dice: 0.7212, decode.d8.loss_cls: 0.2424, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7208, loss: 15.9766 2022-05-02 07:56:43,606 - mmseg - INFO - Iter [75250/80000] lr: 8.527e-08, eta: 2:32:13, time: 1.813, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2149, decode.loss_mask: 0.4690, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.2251, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.3106, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2620, decode.d2.loss_mask: 0.4811, decode.d2.loss_dice: 0.7277, decode.d3.loss_cls: 0.2435, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2383, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7080, decode.d5.loss_cls: 0.2345, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.4693, decode.d7.loss_dice: 0.7040, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.7056, loss: 15.4305 2022-05-02 07:58:14,234 - mmseg - INFO - Iter [75300/80000] lr: 8.437e-08, eta: 2:30:36, time: 1.814, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2357, decode.loss_mask: 0.4746, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2824, decode.d0.loss_mask: 0.5242, decode.d0.loss_dice: 0.8382, decode.d1.loss_cls: 0.3259, decode.d1.loss_mask: 0.4970, decode.d1.loss_dice: 0.7823, decode.d2.loss_cls: 0.2932, decode.d2.loss_mask: 0.4851, decode.d2.loss_dice: 0.7538, decode.d3.loss_cls: 0.2678, decode.d3.loss_mask: 0.4785, decode.d3.loss_dice: 0.7370, decode.d4.loss_cls: 0.2535, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7373, decode.d5.loss_cls: 0.2425, decode.d5.loss_mask: 0.4777, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2395, decode.d6.loss_mask: 0.4766, decode.d6.loss_dice: 0.7303, decode.d7.loss_cls: 0.2353, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.7300, decode.d8.loss_cls: 0.2329, decode.d8.loss_mask: 0.4754, decode.d8.loss_dice: 0.7315, loss: 15.9573 2022-05-02 07:59:44,645 - mmseg - INFO - Iter [75350/80000] lr: 8.347e-08, eta: 2:29:00, time: 1.808, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2152, decode.loss_mask: 0.4914, decode.loss_dice: 0.7040, decode.d0.loss_cls: 1.2624, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8026, decode.d1.loss_cls: 0.3129, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2693, decode.d2.loss_mask: 0.5035, decode.d2.loss_dice: 0.7248, decode.d3.loss_cls: 0.2490, decode.d3.loss_mask: 0.4971, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2408, decode.d4.loss_mask: 0.4943, decode.d4.loss_dice: 0.7103, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4946, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2277, decode.d6.loss_mask: 0.4908, decode.d6.loss_dice: 0.7037, decode.d7.loss_cls: 0.2194, decode.d7.loss_mask: 0.4915, decode.d7.loss_dice: 0.7034, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4900, decode.d8.loss_dice: 0.7048, loss: 15.6832 2022-05-02 08:01:14,498 - mmseg - INFO - Iter [75400/80000] lr: 8.258e-08, eta: 2:27:23, time: 1.795, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2089, decode.loss_mask: 0.4494, decode.loss_dice: 0.6817, decode.d0.loss_cls: 1.2437, decode.d0.loss_mask: 0.4946, decode.d0.loss_dice: 0.7730, decode.d1.loss_cls: 0.3026, decode.d1.loss_mask: 0.4733, decode.d1.loss_dice: 0.7337, decode.d2.loss_cls: 0.2592, decode.d2.loss_mask: 0.4608, decode.d2.loss_dice: 0.7040, decode.d3.loss_cls: 0.2401, decode.d3.loss_mask: 0.4537, decode.d3.loss_dice: 0.6940, decode.d4.loss_cls: 0.2264, decode.d4.loss_mask: 0.4524, decode.d4.loss_dice: 0.6907, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4509, decode.d5.loss_dice: 0.6893, decode.d6.loss_cls: 0.2181, decode.d6.loss_mask: 0.4489, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.6843, decode.d8.loss_cls: 0.2102, decode.d8.loss_mask: 0.4489, decode.d8.loss_dice: 0.6810, loss: 14.9444 2022-05-02 08:02:44,806 - mmseg - INFO - Iter [75450/80000] lr: 8.168e-08, eta: 2:25:47, time: 1.808, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2128, decode.loss_mask: 0.4739, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.2339, decode.d0.loss_mask: 0.5186, decode.d0.loss_dice: 0.8133, decode.d1.loss_cls: 0.3196, decode.d1.loss_mask: 0.4944, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2633, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2344, decode.d4.loss_mask: 0.4778, decode.d4.loss_dice: 0.7206, decode.d5.loss_cls: 0.2230, decode.d5.loss_mask: 0.4770, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2183, decode.d6.loss_mask: 0.4750, decode.d6.loss_dice: 0.7177, decode.d7.loss_cls: 0.2145, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7182, decode.d8.loss_cls: 0.2185, decode.d8.loss_mask: 0.4748, decode.d8.loss_dice: 0.7145, loss: 15.5609 2022-05-02 08:04:15,385 - mmseg - INFO - Iter [75500/80000] lr: 8.078e-08, eta: 2:24:10, time: 1.810, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2045, decode.loss_mask: 0.4722, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.2522, decode.d0.loss_mask: 0.5160, decode.d0.loss_dice: 0.7842, decode.d1.loss_cls: 0.2972, decode.d1.loss_mask: 0.4909, decode.d1.loss_dice: 0.7365, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7063, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4745, decode.d3.loss_dice: 0.6960, decode.d4.loss_cls: 0.2248, decode.d4.loss_mask: 0.4728, decode.d4.loss_dice: 0.6984, decode.d5.loss_cls: 0.2164, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.6915, decode.d6.loss_cls: 0.2112, decode.d6.loss_mask: 0.4718, decode.d6.loss_dice: 0.6922, decode.d7.loss_cls: 0.2032, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.6930, decode.d8.loss_cls: 0.2025, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.6926, loss: 15.1822 2022-05-02 08:05:46,339 - mmseg - INFO - Iter [75550/80000] lr: 7.988e-08, eta: 2:22:34, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2239, decode.loss_mask: 0.4597, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.2417, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7733, decode.d1.loss_cls: 0.3004, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7345, decode.d2.loss_cls: 0.2634, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7066, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4663, decode.d3.loss_dice: 0.6917, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.6919, decode.d5.loss_cls: 0.2305, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6859, decode.d6.loss_cls: 0.2243, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.2239, decode.d8.loss_mask: 0.4597, decode.d8.loss_dice: 0.6858, loss: 15.1317 2022-05-02 08:07:17,457 - mmseg - INFO - Iter [75600/80000] lr: 7.899e-08, eta: 2:20:57, time: 1.822, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2118, decode.loss_mask: 0.4851, decode.loss_dice: 0.7089, decode.d0.loss_cls: 1.2447, decode.d0.loss_mask: 0.5295, decode.d0.loss_dice: 0.7995, decode.d1.loss_cls: 0.2941, decode.d1.loss_mask: 0.5048, decode.d1.loss_dice: 0.7547, decode.d2.loss_cls: 0.2606, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7309, decode.d3.loss_cls: 0.2353, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2273, decode.d4.loss_mask: 0.4900, decode.d4.loss_dice: 0.7152, decode.d5.loss_cls: 0.2224, decode.d5.loss_mask: 0.4886, decode.d5.loss_dice: 0.7122, decode.d6.loss_cls: 0.2154, decode.d6.loss_mask: 0.4861, decode.d6.loss_dice: 0.7116, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4878, decode.d8.loss_dice: 0.7081, loss: 15.5525 2022-05-02 08:08:47,747 - mmseg - INFO - Iter [75650/80000] lr: 7.809e-08, eta: 2:19:21, time: 1.807, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2178, decode.loss_mask: 0.4524, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.2297, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7661, decode.d1.loss_cls: 0.3073, decode.d1.loss_mask: 0.4767, decode.d1.loss_dice: 0.7241, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4643, decode.d2.loss_dice: 0.6936, decode.d3.loss_cls: 0.2452, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.6858, decode.d4.loss_cls: 0.2321, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.6826, decode.d5.loss_cls: 0.2293, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.2246, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6777, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.2203, decode.d8.loss_mask: 0.4531, decode.d8.loss_dice: 0.6755, loss: 14.9501 2022-05-02 08:10:17,470 - mmseg - INFO - Iter [75700/80000] lr: 7.719e-08, eta: 2:17:45, time: 1.794, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2144, decode.loss_mask: 0.4747, decode.loss_dice: 0.6852, decode.d0.loss_cls: 1.2178, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.7775, decode.d1.loss_cls: 0.3034, decode.d1.loss_mask: 0.4943, decode.d1.loss_dice: 0.7277, decode.d2.loss_cls: 0.2679, decode.d2.loss_mask: 0.4840, decode.d2.loss_dice: 0.7082, decode.d3.loss_cls: 0.2468, decode.d3.loss_mask: 0.4794, decode.d3.loss_dice: 0.6972, decode.d4.loss_cls: 0.2335, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.6949, decode.d5.loss_cls: 0.2267, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4772, decode.d6.loss_dice: 0.6874, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.6870, decode.d8.loss_cls: 0.2174, decode.d8.loss_mask: 0.4756, decode.d8.loss_dice: 0.6870, loss: 15.2425 2022-05-02 08:11:47,712 - mmseg - INFO - Iter [75750/80000] lr: 7.629e-08, eta: 2:16:08, time: 1.805, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2206, decode.loss_mask: 0.4667, decode.loss_dice: 0.6884, decode.d0.loss_cls: 1.2441, decode.d0.loss_mask: 0.5153, decode.d0.loss_dice: 0.7890, decode.d1.loss_cls: 0.2979, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2701, decode.d2.loss_mask: 0.4809, decode.d2.loss_dice: 0.7151, decode.d3.loss_cls: 0.2441, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7030, decode.d4.loss_cls: 0.2341, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7001, decode.d5.loss_cls: 0.2249, decode.d5.loss_mask: 0.4718, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4678, decode.d6.loss_dice: 0.6903, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4682, decode.d7.loss_dice: 0.6908, decode.d8.loss_cls: 0.2188, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.6869, loss: 15.2747 2022-05-02 08:13:17,571 - mmseg - INFO - Iter [75800/80000] lr: 7.540e-08, eta: 2:14:32, time: 1.795, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2200, decode.loss_mask: 0.4818, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.2451, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8033, decode.d1.loss_cls: 0.3123, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7614, decode.d2.loss_cls: 0.2678, decode.d2.loss_mask: 0.4928, decode.d2.loss_dice: 0.7356, decode.d3.loss_cls: 0.2503, decode.d3.loss_mask: 0.4859, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2375, decode.d4.loss_mask: 0.4870, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2331, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7149, decode.d6.loss_cls: 0.2327, decode.d6.loss_mask: 0.4795, decode.d6.loss_dice: 0.7072, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4805, decode.d7.loss_dice: 0.7074, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.7144, loss: 15.6526 2022-05-02 08:14:50,908 - mmseg - INFO - Iter [75850/80000] lr: 7.450e-08, eta: 2:12:55, time: 1.868, data_time: 0.063, memory: 64716, decode.loss_cls: 0.2190, decode.loss_mask: 0.4483, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.2540, decode.d0.loss_mask: 0.4962, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3133, decode.d1.loss_mask: 0.4686, decode.d1.loss_dice: 0.7372, decode.d2.loss_cls: 0.2654, decode.d2.loss_mask: 0.4551, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2481, decode.d3.loss_mask: 0.4529, decode.d3.loss_dice: 0.6984, decode.d4.loss_cls: 0.2320, decode.d4.loss_mask: 0.4520, decode.d4.loss_dice: 0.7040, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4524, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4509, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4487, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.2165, decode.d8.loss_mask: 0.4483, decode.d8.loss_dice: 0.6905, loss: 15.1052 2022-05-02 08:16:21,261 - mmseg - INFO - Iter [75900/80000] lr: 7.360e-08, eta: 2:11:19, time: 1.806, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2159, decode.loss_mask: 0.4565, decode.loss_dice: 0.6978, decode.d0.loss_cls: 1.2530, decode.d0.loss_mask: 0.4977, decode.d0.loss_dice: 0.8040, decode.d1.loss_cls: 0.3052, decode.d1.loss_mask: 0.4755, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4643, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2436, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.7119, decode.d4.loss_cls: 0.2282, decode.d4.loss_mask: 0.4584, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2226, decode.d6.loss_mask: 0.4586, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2184, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2175, decode.d8.loss_mask: 0.4582, decode.d8.loss_dice: 0.7062, loss: 15.2599 2022-05-02 08:17:51,356 - mmseg - INFO - Iter [75950/80000] lr: 7.271e-08, eta: 2:09:43, time: 1.802, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2152, decode.loss_mask: 0.4502, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.5009, decode.d0.loss_dice: 0.7832, decode.d1.loss_cls: 0.3101, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7332, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4619, decode.d2.loss_dice: 0.7085, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4559, decode.d3.loss_dice: 0.6965, decode.d4.loss_cls: 0.2330, decode.d4.loss_mask: 0.4531, decode.d4.loss_dice: 0.6934, decode.d5.loss_cls: 0.2282, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4540, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4516, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2170, decode.d8.loss_mask: 0.4516, decode.d8.loss_dice: 0.6882, loss: 15.0346 2022-05-02 08:19:21,537 - mmseg - INFO - Saving checkpoint at 76000 iterations 2022-05-02 08:19:45,495 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 08:19:45,500 - mmseg - INFO - Iter [76000/80000] lr: 7.181e-08, eta: 2:08:07, time: 2.283, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2290, decode.loss_mask: 0.4557, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7915, decode.d1.loss_cls: 0.3261, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7422, decode.d2.loss_cls: 0.2783, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2621, decode.d3.loss_mask: 0.4605, decode.d3.loss_dice: 0.7019, decode.d4.loss_cls: 0.2494, decode.d4.loss_mask: 0.4614, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2404, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.7014, decode.d6.loss_cls: 0.2370, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.2330, decode.d7.loss_mask: 0.4585, decode.d7.loss_dice: 0.6934, decode.d8.loss_cls: 0.2280, decode.d8.loss_mask: 0.4570, decode.d8.loss_dice: 0.6922, loss: 15.3149 2022-05-02 08:21:16,842 - mmseg - INFO - Iter [76050/80000] lr: 7.091e-08, eta: 2:06:31, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2005, decode.loss_mask: 0.4805, decode.loss_dice: 0.7073, decode.d0.loss_cls: 1.2343, decode.d0.loss_mask: 0.5248, decode.d0.loss_dice: 0.7969, decode.d1.loss_cls: 0.2931, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7271, decode.d3.loss_cls: 0.2318, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2220, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7135, decode.d5.loss_cls: 0.2099, decode.d5.loss_mask: 0.4851, decode.d5.loss_dice: 0.7109, decode.d6.loss_cls: 0.2115, decode.d6.loss_mask: 0.4825, decode.d6.loss_dice: 0.7070, decode.d7.loss_cls: 0.2054, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7078, decode.d8.loss_cls: 0.2055, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7050, loss: 15.4007 2022-05-02 08:22:48,745 - mmseg - INFO - Iter [76100/80000] lr: 7.001e-08, eta: 2:04:55, time: 1.839, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2054, decode.loss_mask: 0.4829, decode.loss_dice: 0.6941, decode.d0.loss_cls: 1.2488, decode.d0.loss_mask: 0.5336, decode.d0.loss_dice: 0.7841, decode.d1.loss_cls: 0.2989, decode.d1.loss_mask: 0.5062, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2559, decode.d2.loss_mask: 0.4960, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2353, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4844, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2111, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.6924, decode.d7.loss_cls: 0.2064, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.6983, decode.d8.loss_cls: 0.2039, decode.d8.loss_mask: 0.4828, decode.d8.loss_dice: 0.6953, loss: 15.3787 2022-05-02 08:24:18,940 - mmseg - INFO - Iter [76150/80000] lr: 6.912e-08, eta: 2:03:18, time: 1.803, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2250, decode.loss_mask: 0.4690, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.2813, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8108, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7657, decode.d2.loss_cls: 0.2722, decode.d2.loss_mask: 0.4828, decode.d2.loss_dice: 0.7308, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.7207, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4727, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.7064, decode.d7.loss_cls: 0.2250, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7108, decode.d8.loss_cls: 0.2273, decode.d8.loss_mask: 0.4680, decode.d8.loss_dice: 0.7088, loss: 15.5881 2022-05-02 08:25:49,619 - mmseg - INFO - Iter [76200/80000] lr: 6.822e-08, eta: 2:01:42, time: 1.813, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2163, decode.loss_mask: 0.4787, decode.loss_dice: 0.7241, decode.d0.loss_cls: 1.2562, decode.d0.loss_mask: 0.5180, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3093, decode.d1.loss_mask: 0.4967, decode.d1.loss_dice: 0.7625, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4873, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2454, decode.d3.loss_mask: 0.4815, decode.d3.loss_dice: 0.7373, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4799, decode.d5.loss_dice: 0.7302, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4774, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2173, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.7232, decode.d8.loss_cls: 0.2162, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.7271, loss: 15.6754 2022-05-02 08:27:20,457 - mmseg - INFO - Iter [76250/80000] lr: 6.732e-08, eta: 2:00:06, time: 1.818, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2172, decode.loss_mask: 0.4554, decode.loss_dice: 0.6873, decode.d0.loss_cls: 1.2324, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7276, decode.d2.loss_cls: 0.2701, decode.d2.loss_mask: 0.4671, decode.d2.loss_dice: 0.7051, decode.d3.loss_cls: 0.2512, decode.d3.loss_mask: 0.4621, decode.d3.loss_dice: 0.6994, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6910, decode.d5.loss_cls: 0.2315, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6961, decode.d6.loss_cls: 0.2282, decode.d6.loss_mask: 0.4564, decode.d6.loss_dice: 0.6833, decode.d7.loss_cls: 0.2212, decode.d7.loss_mask: 0.4563, decode.d7.loss_dice: 0.6875, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.6846, loss: 15.1137 2022-05-02 08:28:51,068 - mmseg - INFO - Iter [76300/80000] lr: 6.642e-08, eta: 1:58:29, time: 1.813, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2119, decode.loss_mask: 0.4755, decode.loss_dice: 0.7247, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.8184, decode.d1.loss_cls: 0.2998, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7771, decode.d2.loss_cls: 0.2681, decode.d2.loss_mask: 0.4874, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2437, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7315, decode.d4.loss_cls: 0.2406, decode.d4.loss_mask: 0.4784, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2330, decode.d5.loss_mask: 0.4786, decode.d5.loss_dice: 0.7310, decode.d6.loss_cls: 0.2189, decode.d6.loss_mask: 0.4784, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4778, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2129, decode.d8.loss_mask: 0.4767, decode.d8.loss_dice: 0.7309, loss: 15.6578 2022-05-02 08:30:21,274 - mmseg - INFO - Iter [76350/80000] lr: 6.553e-08, eta: 1:56:53, time: 1.803, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2195, decode.loss_mask: 0.4674, decode.loss_dice: 0.7017, decode.d0.loss_cls: 1.2258, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3093, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7442, decode.d2.loss_cls: 0.2676, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7259, decode.d3.loss_cls: 0.2496, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.7090, decode.d4.loss_cls: 0.2389, decode.d4.loss_mask: 0.4734, decode.d4.loss_dice: 0.7112, decode.d5.loss_cls: 0.2301, decode.d5.loss_mask: 0.4708, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4700, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2203, decode.d7.loss_mask: 0.4687, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2201, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.7048, loss: 15.3896 2022-05-02 08:31:51,489 - mmseg - INFO - Iter [76400/80000] lr: 6.463e-08, eta: 1:55:17, time: 1.805, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2224, decode.loss_mask: 0.4548, decode.loss_dice: 0.6886, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7788, decode.d1.loss_cls: 0.3103, decode.d1.loss_mask: 0.4781, decode.d1.loss_dice: 0.7291, decode.d2.loss_cls: 0.2658, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7101, decode.d3.loss_cls: 0.2457, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2350, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4570, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.2249, decode.d6.loss_mask: 0.4576, decode.d6.loss_dice: 0.6920, decode.d7.loss_cls: 0.2250, decode.d7.loss_mask: 0.4555, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6873, loss: 15.1600 2022-05-02 08:33:22,008 - mmseg - INFO - Iter [76450/80000] lr: 6.373e-08, eta: 1:53:40, time: 1.810, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2131, decode.loss_mask: 0.4706, decode.loss_dice: 0.7056, decode.d0.loss_cls: 1.2494, decode.d0.loss_mask: 0.5178, decode.d0.loss_dice: 0.7945, decode.d1.loss_cls: 0.2996, decode.d1.loss_mask: 0.4961, decode.d1.loss_dice: 0.7538, decode.d2.loss_cls: 0.2620, decode.d2.loss_mask: 0.4825, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2420, decode.d3.loss_mask: 0.4783, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2264, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.7158, decode.d5.loss_cls: 0.2232, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.7123, decode.d6.loss_cls: 0.2202, decode.d6.loss_mask: 0.4716, decode.d6.loss_dice: 0.7042, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4722, decode.d8.loss_dice: 0.7061, loss: 15.4238 2022-05-02 08:34:52,283 - mmseg - INFO - Iter [76500/80000] lr: 6.283e-08, eta: 1:52:04, time: 1.806, data_time: 0.016, memory: 64716, decode.loss_cls: 0.1982, decode.loss_mask: 0.4519, decode.loss_dice: 0.6695, decode.d0.loss_cls: 1.2351, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7578, decode.d1.loss_cls: 0.2845, decode.d1.loss_mask: 0.4735, decode.d1.loss_dice: 0.7170, decode.d2.loss_cls: 0.2462, decode.d2.loss_mask: 0.4616, decode.d2.loss_dice: 0.6883, decode.d3.loss_cls: 0.2252, decode.d3.loss_mask: 0.4581, decode.d3.loss_dice: 0.6778, decode.d4.loss_cls: 0.2205, decode.d4.loss_mask: 0.4573, decode.d4.loss_dice: 0.6723, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4561, decode.d5.loss_dice: 0.6698, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.6701, decode.d7.loss_cls: 0.2028, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.6716, decode.d8.loss_cls: 0.2029, decode.d8.loss_mask: 0.4517, decode.d8.loss_dice: 0.6655, loss: 14.7139 2022-05-02 08:36:23,450 - mmseg - INFO - Iter [76550/80000] lr: 6.194e-08, eta: 1:50:28, time: 1.823, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2282, decode.loss_mask: 0.4540, decode.loss_dice: 0.7054, decode.d0.loss_cls: 1.3326, decode.d0.loss_mask: 0.5051, decode.d0.loss_dice: 0.8089, decode.d1.loss_cls: 0.3337, decode.d1.loss_mask: 0.4796, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2857, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7260, decode.d3.loss_cls: 0.2576, decode.d3.loss_mask: 0.4620, decode.d3.loss_dice: 0.7154, decode.d4.loss_cls: 0.2498, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2426, decode.d5.loss_mask: 0.4585, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2328, decode.d6.loss_mask: 0.4559, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.7089, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.7061, loss: 15.5343 2022-05-02 08:37:53,667 - mmseg - INFO - Iter [76600/80000] lr: 6.104e-08, eta: 1:48:51, time: 1.803, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2292, decode.loss_mask: 0.4743, decode.loss_dice: 0.7188, decode.d0.loss_cls: 1.2414, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8153, decode.d1.loss_cls: 0.3150, decode.d1.loss_mask: 0.4972, decode.d1.loss_dice: 0.7713, decode.d2.loss_cls: 0.2719, decode.d2.loss_mask: 0.4876, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2598, decode.d3.loss_mask: 0.4859, decode.d3.loss_dice: 0.7319, decode.d4.loss_cls: 0.2448, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4808, decode.d5.loss_dice: 0.7296, decode.d6.loss_cls: 0.2370, decode.d6.loss_mask: 0.4763, decode.d6.loss_dice: 0.7179, decode.d7.loss_cls: 0.2353, decode.d7.loss_mask: 0.4776, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2329, decode.d8.loss_mask: 0.4751, decode.d8.loss_dice: 0.7182, loss: 15.7679 2022-05-02 08:39:24,318 - mmseg - INFO - Iter [76650/80000] lr: 6.014e-08, eta: 1:47:15, time: 1.813, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2141, decode.loss_mask: 0.4863, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.2642, decode.d0.loss_mask: 0.5328, decode.d0.loss_dice: 0.7860, decode.d1.loss_cls: 0.3047, decode.d1.loss_mask: 0.5090, decode.d1.loss_dice: 0.7420, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7202, decode.d3.loss_cls: 0.2428, decode.d3.loss_mask: 0.4933, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4921, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.2161, decode.d7.loss_mask: 0.4865, decode.d7.loss_dice: 0.6960, decode.d8.loss_cls: 0.2110, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.6959, loss: 15.4956 2022-05-02 08:40:54,407 - mmseg - INFO - Iter [76700/80000] lr: 5.924e-08, eta: 1:45:39, time: 1.802, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2059, decode.loss_mask: 0.4673, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.2493, decode.d0.loss_mask: 0.5163, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.3059, decode.d1.loss_mask: 0.4921, decode.d1.loss_dice: 0.7368, decode.d2.loss_cls: 0.2573, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.7143, decode.d3.loss_cls: 0.2372, decode.d3.loss_mask: 0.4718, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4716, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2147, decode.d5.loss_mask: 0.4715, decode.d5.loss_dice: 0.6996, decode.d6.loss_cls: 0.2071, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.6950, decode.d7.loss_cls: 0.2049, decode.d7.loss_mask: 0.4703, decode.d7.loss_dice: 0.6933, decode.d8.loss_cls: 0.2088, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.6949, loss: 15.2051 2022-05-02 08:42:23,394 - mmseg - INFO - Iter [76750/80000] lr: 5.835e-08, eta: 1:44:02, time: 1.780, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2057, decode.loss_mask: 0.4698, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.5164, decode.d0.loss_dice: 0.7872, decode.d1.loss_cls: 0.3064, decode.d1.loss_mask: 0.4941, decode.d1.loss_dice: 0.7409, decode.d2.loss_cls: 0.2569, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2407, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4752, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2200, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.6985, decode.d6.loss_cls: 0.2179, decode.d6.loss_mask: 0.4710, decode.d6.loss_dice: 0.6949, decode.d7.loss_cls: 0.2086, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.2069, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.6906, loss: 15.2513 2022-05-02 08:43:53,474 - mmseg - INFO - Iter [76800/80000] lr: 5.745e-08, eta: 1:42:26, time: 1.803, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2008, decode.loss_mask: 0.4763, decode.loss_dice: 0.6997, decode.d0.loss_cls: 1.2180, decode.d0.loss_mask: 0.5206, decode.d0.loss_dice: 0.7928, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7462, decode.d2.loss_cls: 0.2510, decode.d2.loss_mask: 0.4875, decode.d2.loss_dice: 0.7242, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2200, decode.d4.loss_mask: 0.4804, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2177, decode.d5.loss_mask: 0.4792, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.2075, decode.d6.loss_mask: 0.4790, decode.d6.loss_dice: 0.7017, decode.d7.loss_cls: 0.2071, decode.d7.loss_mask: 0.4785, decode.d7.loss_dice: 0.7006, decode.d8.loss_cls: 0.2042, decode.d8.loss_mask: 0.4774, decode.d8.loss_dice: 0.7013, loss: 15.3050 2022-05-02 08:45:25,030 - mmseg - INFO - Iter [76850/80000] lr: 5.655e-08, eta: 1:40:50, time: 1.831, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2276, decode.loss_mask: 0.4567, decode.loss_dice: 0.7026, decode.d0.loss_cls: 1.2839, decode.d0.loss_mask: 0.4997, decode.d0.loss_dice: 0.7967, decode.d1.loss_cls: 0.3263, decode.d1.loss_mask: 0.4762, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2797, decode.d2.loss_mask: 0.4636, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4628, decode.d3.loss_dice: 0.7129, decode.d4.loss_cls: 0.2515, decode.d4.loss_mask: 0.4598, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2446, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.7107, decode.d6.loss_cls: 0.2383, decode.d6.loss_mask: 0.4553, decode.d6.loss_dice: 0.7002, decode.d7.loss_cls: 0.2370, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2320, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.7049, loss: 15.4346 2022-05-02 08:46:55,429 - mmseg - INFO - Iter [76900/80000] lr: 5.566e-08, eta: 1:39:14, time: 1.808, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2165, decode.loss_mask: 0.4728, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.2784, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.7910, decode.d1.loss_cls: 0.3238, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7405, decode.d2.loss_cls: 0.2712, decode.d2.loss_mask: 0.4826, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2533, decode.d3.loss_mask: 0.4777, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2449, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.6981, decode.d5.loss_cls: 0.2358, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.6944, decode.d6.loss_cls: 0.2273, decode.d6.loss_mask: 0.4713, decode.d6.loss_dice: 0.6953, decode.d7.loss_cls: 0.2214, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.2205, decode.d8.loss_mask: 0.4695, decode.d8.loss_dice: 0.6906, loss: 15.4112 2022-05-02 08:48:26,480 - mmseg - INFO - Iter [76950/80000] lr: 5.476e-08, eta: 1:37:37, time: 1.820, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2138, decode.loss_mask: 0.4586, decode.loss_dice: 0.6887, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.5138, decode.d0.loss_dice: 0.7848, decode.d1.loss_cls: 0.3094, decode.d1.loss_mask: 0.4869, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2622, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2425, decode.d3.loss_mask: 0.4656, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2342, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.7020, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6922, decode.d6.loss_cls: 0.2192, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6933, decode.d7.loss_cls: 0.2120, decode.d7.loss_mask: 0.4609, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.2098, decode.d8.loss_mask: 0.4600, decode.d8.loss_dice: 0.6954, loss: 15.1837 2022-05-02 08:49:56,968 - mmseg - INFO - Saving checkpoint at 77000 iterations 2022-05-02 08:50:25,820 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 08:50:25,824 - mmseg - INFO - Iter [77000/80000] lr: 5.386e-08, eta: 1:36:02, time: 2.385, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2003, decode.loss_mask: 0.4504, decode.loss_dice: 0.6989, decode.d0.loss_cls: 1.2504, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7961, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4723, decode.d1.loss_dice: 0.7434, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4606, decode.d2.loss_dice: 0.7215, decode.d3.loss_cls: 0.2316, decode.d3.loss_mask: 0.4561, decode.d3.loss_dice: 0.7094, decode.d4.loss_cls: 0.2180, decode.d4.loss_mask: 0.4557, decode.d4.loss_dice: 0.7119, decode.d5.loss_cls: 0.2157, decode.d5.loss_mask: 0.4536, decode.d5.loss_dice: 0.7069, decode.d6.loss_cls: 0.2103, decode.d6.loss_mask: 0.4511, decode.d6.loss_dice: 0.7024, decode.d7.loss_cls: 0.2056, decode.d7.loss_mask: 0.4516, decode.d7.loss_dice: 0.7044, decode.d8.loss_cls: 0.2034, decode.d8.loss_mask: 0.4513, decode.d8.loss_dice: 0.7051, loss: 15.0825 2022-05-02 08:51:57,514 - mmseg - INFO - Iter [77050/80000] lr: 5.296e-08, eta: 1:34:26, time: 1.836, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2166, decode.loss_mask: 0.4938, decode.loss_dice: 0.6929, decode.d0.loss_cls: 1.2342, decode.d0.loss_mask: 0.5445, decode.d0.loss_dice: 0.7843, decode.d1.loss_cls: 0.2979, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2596, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7172, decode.d3.loss_cls: 0.2428, decode.d3.loss_mask: 0.5009, decode.d3.loss_dice: 0.7098, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4996, decode.d4.loss_dice: 0.7058, decode.d5.loss_cls: 0.2248, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7045, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.6970, decode.d7.loss_cls: 0.2171, decode.d7.loss_mask: 0.4940, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.2134, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7019, loss: 15.5630 2022-05-02 08:53:28,128 - mmseg - INFO - Iter [77100/80000] lr: 5.207e-08, eta: 1:32:50, time: 1.811, data_time: 0.013, memory: 64716, decode.loss_cls: 0.1935, decode.loss_mask: 0.4573, decode.loss_dice: 0.6811, decode.d0.loss_cls: 1.2073, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7717, decode.d1.loss_cls: 0.2824, decode.d1.loss_mask: 0.4797, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2450, decode.d2.loss_mask: 0.4674, decode.d2.loss_dice: 0.7003, decode.d3.loss_cls: 0.2236, decode.d3.loss_mask: 0.4652, decode.d3.loss_dice: 0.6911, decode.d4.loss_cls: 0.2156, decode.d4.loss_mask: 0.4639, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2068, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.6877, decode.d6.loss_cls: 0.2013, decode.d6.loss_mask: 0.4591, decode.d6.loss_dice: 0.6785, decode.d7.loss_cls: 0.1985, decode.d7.loss_mask: 0.4587, decode.d7.loss_dice: 0.6826, decode.d8.loss_cls: 0.1949, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.6835, loss: 14.8449 2022-05-02 08:55:00,665 - mmseg - INFO - Iter [77150/80000] lr: 5.117e-08, eta: 1:31:14, time: 1.852, data_time: 0.061, memory: 64716, decode.loss_cls: 0.2083, decode.loss_mask: 0.4425, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.2711, decode.d0.loss_mask: 0.4852, decode.d0.loss_dice: 0.7882, decode.d1.loss_cls: 0.3066, decode.d1.loss_mask: 0.4613, decode.d1.loss_dice: 0.7360, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.7118, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.7035, decode.d4.loss_cls: 0.2239, decode.d4.loss_mask: 0.4477, decode.d4.loss_dice: 0.7001, decode.d5.loss_cls: 0.2167, decode.d5.loss_mask: 0.4460, decode.d5.loss_dice: 0.7002, decode.d6.loss_cls: 0.2122, decode.d6.loss_mask: 0.4435, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2094, decode.d7.loss_mask: 0.4433, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.2079, decode.d8.loss_mask: 0.4436, decode.d8.loss_dice: 0.6959, loss: 14.9822 2022-05-02 08:56:31,643 - mmseg - INFO - Iter [77200/80000] lr: 5.027e-08, eta: 1:29:37, time: 1.820, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2247, decode.loss_mask: 0.4799, decode.loss_dice: 0.7305, decode.d0.loss_cls: 1.2723, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.8208, decode.d1.loss_cls: 0.3226, decode.d1.loss_mask: 0.5003, decode.d1.loss_dice: 0.7782, decode.d2.loss_cls: 0.2761, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7523, decode.d3.loss_cls: 0.2597, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.7402, decode.d4.loss_cls: 0.2455, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7386, decode.d5.loss_cls: 0.2366, decode.d5.loss_mask: 0.4826, decode.d5.loss_dice: 0.7382, decode.d6.loss_cls: 0.2367, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7266, decode.d7.loss_cls: 0.2263, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7340, loss: 15.9156 2022-05-02 08:58:02,491 - mmseg - INFO - Iter [77250/80000] lr: 4.937e-08, eta: 1:28:01, time: 1.816, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2186, decode.loss_mask: 0.4637, decode.loss_dice: 0.6927, decode.d0.loss_cls: 1.2721, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.3157, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7431, decode.d2.loss_cls: 0.2724, decode.d2.loss_mask: 0.4738, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2472, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.7074, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4690, decode.d4.loss_dice: 0.7056, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.7041, decode.d6.loss_cls: 0.2248, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6970, decode.d7.loss_cls: 0.2238, decode.d7.loss_mask: 0.4639, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2208, decode.d8.loss_mask: 0.4619, decode.d8.loss_dice: 0.6973, loss: 15.3517 2022-05-02 08:59:32,458 - mmseg - INFO - Iter [77300/80000] lr: 4.848e-08, eta: 1:26:25, time: 1.800, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2084, decode.loss_mask: 0.4699, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.2321, decode.d0.loss_mask: 0.5246, decode.d0.loss_dice: 0.7874, decode.d1.loss_cls: 0.2921, decode.d1.loss_mask: 0.4967, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2456, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7154, decode.d3.loss_cls: 0.2300, decode.d3.loss_mask: 0.4788, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4753, decode.d4.loss_dice: 0.7034, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.6965, decode.d7.loss_cls: 0.2080, decode.d7.loss_mask: 0.4733, decode.d7.loss_dice: 0.6992, decode.d8.loss_cls: 0.2064, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.6975, loss: 15.2321 2022-05-02 09:01:02,359 - mmseg - INFO - Iter [77350/80000] lr: 4.758e-08, eta: 1:24:49, time: 1.798, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2092, decode.loss_mask: 0.4656, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.5146, decode.d0.loss_dice: 0.7723, decode.d1.loss_cls: 0.2992, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7264, decode.d2.loss_cls: 0.2635, decode.d2.loss_mask: 0.4760, decode.d2.loss_dice: 0.7005, decode.d3.loss_cls: 0.2457, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.6876, decode.d4.loss_cls: 0.2324, decode.d4.loss_mask: 0.4693, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.2279, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.6815, decode.d6.loss_cls: 0.2198, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.6757, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4641, decode.d7.loss_dice: 0.6777, decode.d8.loss_cls: 0.2145, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.6759, loss: 15.0743 2022-05-02 09:02:33,028 - mmseg - INFO - Iter [77400/80000] lr: 4.668e-08, eta: 1:23:13, time: 1.813, data_time: 0.016, memory: 64716, decode.loss_cls: 0.1984, decode.loss_mask: 0.4416, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.2228, decode.d0.loss_mask: 0.4820, decode.d0.loss_dice: 0.7537, decode.d1.loss_cls: 0.2924, decode.d1.loss_mask: 0.4615, decode.d1.loss_dice: 0.7062, decode.d2.loss_cls: 0.2481, decode.d2.loss_mask: 0.4510, decode.d2.loss_dice: 0.6850, decode.d3.loss_cls: 0.2314, decode.d3.loss_mask: 0.4471, decode.d3.loss_dice: 0.6693, decode.d4.loss_cls: 0.2185, decode.d4.loss_mask: 0.4435, decode.d4.loss_dice: 0.6676, decode.d5.loss_cls: 0.2107, decode.d5.loss_mask: 0.4436, decode.d5.loss_dice: 0.6652, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4426, decode.d6.loss_dice: 0.6601, decode.d7.loss_cls: 0.2010, decode.d7.loss_mask: 0.4423, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.2024, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6595, loss: 14.5172 2022-05-02 09:04:03,758 - mmseg - INFO - Iter [77450/80000] lr: 4.578e-08, eta: 1:21:36, time: 1.815, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2147, decode.loss_mask: 0.4705, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.2242, decode.d0.loss_mask: 0.5157, decode.d0.loss_dice: 0.7797, decode.d1.loss_cls: 0.2987, decode.d1.loss_mask: 0.4925, decode.d1.loss_dice: 0.7377, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7115, decode.d3.loss_cls: 0.2423, decode.d3.loss_mask: 0.4757, decode.d3.loss_dice: 0.6919, decode.d4.loss_cls: 0.2286, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.2265, decode.d5.loss_mask: 0.4745, decode.d5.loss_dice: 0.6934, decode.d6.loss_cls: 0.2171, decode.d6.loss_mask: 0.4728, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4708, decode.d7.loss_dice: 0.6867, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4702, decode.d8.loss_dice: 0.6835, loss: 15.1781 2022-05-02 09:05:33,577 - mmseg - INFO - Iter [77500/80000] lr: 4.489e-08, eta: 1:20:00, time: 1.796, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2078, decode.loss_mask: 0.4871, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.2223, decode.d0.loss_mask: 0.5301, decode.d0.loss_dice: 0.7800, decode.d1.loss_cls: 0.2890, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.7472, decode.d2.loss_cls: 0.2503, decode.d2.loss_mask: 0.5003, decode.d2.loss_dice: 0.7178, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4919, decode.d3.loss_dice: 0.6993, decode.d4.loss_cls: 0.2282, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2151, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.6952, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4869, decode.d6.loss_dice: 0.6889, decode.d7.loss_cls: 0.2065, decode.d7.loss_mask: 0.4874, decode.d7.loss_dice: 0.6948, decode.d8.loss_cls: 0.2079, decode.d8.loss_mask: 0.4874, decode.d8.loss_dice: 0.6891, loss: 15.3396 2022-05-02 09:07:03,912 - mmseg - INFO - Iter [77550/80000] lr: 4.399e-08, eta: 1:18:24, time: 1.806, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2136, decode.loss_mask: 0.4557, decode.loss_dice: 0.6843, decode.d0.loss_cls: 1.2076, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.7880, decode.d1.loss_cls: 0.2986, decode.d1.loss_mask: 0.4792, decode.d1.loss_dice: 0.7349, decode.d2.loss_cls: 0.2522, decode.d2.loss_mask: 0.4647, decode.d2.loss_dice: 0.7073, decode.d3.loss_cls: 0.2347, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.6945, decode.d4.loss_cls: 0.2285, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.2181, decode.d5.loss_mask: 0.4591, decode.d5.loss_dice: 0.6875, decode.d6.loss_cls: 0.2152, decode.d6.loss_mask: 0.4556, decode.d6.loss_dice: 0.6812, decode.d7.loss_cls: 0.2074, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.6848, decode.d8.loss_cls: 0.2077, decode.d8.loss_mask: 0.4547, decode.d8.loss_dice: 0.6855, loss: 14.9756 2022-05-02 09:08:33,536 - mmseg - INFO - Iter [77600/80000] lr: 4.309e-08, eta: 1:16:48, time: 1.793, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2088, decode.loss_mask: 0.4783, decode.loss_dice: 0.6937, decode.d0.loss_cls: 1.2613, decode.d0.loss_mask: 0.5189, decode.d0.loss_dice: 0.7845, decode.d1.loss_cls: 0.2946, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2505, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7076, decode.d4.loss_cls: 0.2264, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7045, decode.d5.loss_cls: 0.2216, decode.d5.loss_mask: 0.4808, decode.d5.loss_dice: 0.6985, decode.d6.loss_cls: 0.2195, decode.d6.loss_mask: 0.4798, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.2132, decode.d7.loss_mask: 0.4799, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.6977, loss: 15.3524 2022-05-02 09:10:04,265 - mmseg - INFO - Iter [77650/80000] lr: 4.219e-08, eta: 1:15:12, time: 1.815, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2160, decode.loss_mask: 0.4614, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.2772, decode.d0.loss_mask: 0.5103, decode.d0.loss_dice: 0.8147, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.4858, decode.d1.loss_dice: 0.7687, decode.d2.loss_cls: 0.2670, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.7377, decode.d3.loss_cls: 0.2432, decode.d3.loss_mask: 0.4693, decode.d3.loss_dice: 0.7245, decode.d4.loss_cls: 0.2352, decode.d4.loss_mask: 0.4679, decode.d4.loss_dice: 0.7229, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.7207, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.7166, decode.d7.loss_cls: 0.2182, decode.d7.loss_mask: 0.4618, decode.d7.loss_dice: 0.7148, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4601, decode.d8.loss_dice: 0.7190, loss: 15.5376 2022-05-02 09:11:35,180 - mmseg - INFO - Iter [77700/80000] lr: 4.130e-08, eta: 1:13:35, time: 1.818, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2203, decode.loss_mask: 0.4638, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.2488, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7747, decode.d1.loss_cls: 0.3166, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.7013, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4710, decode.d3.loss_dice: 0.6950, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4688, decode.d4.loss_dice: 0.6903, decode.d5.loss_cls: 0.2295, decode.d5.loss_mask: 0.4673, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.2252, decode.d6.loss_mask: 0.4660, decode.d6.loss_dice: 0.6811, decode.d7.loss_cls: 0.2201, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.6794, decode.d8.loss_cls: 0.2209, decode.d8.loss_mask: 0.4637, decode.d8.loss_dice: 0.6817, loss: 15.1609 2022-05-02 09:13:06,919 - mmseg - INFO - Iter [77750/80000] lr: 4.040e-08, eta: 1:11:59, time: 1.834, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2143, decode.loss_mask: 0.4668, decode.loss_dice: 0.6882, decode.d0.loss_cls: 1.2678, decode.d0.loss_mask: 0.5086, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7386, decode.d2.loss_cls: 0.2716, decode.d2.loss_mask: 0.4738, decode.d2.loss_dice: 0.7059, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4699, decode.d3.loss_dice: 0.6990, decode.d4.loss_cls: 0.2413, decode.d4.loss_mask: 0.4681, decode.d4.loss_dice: 0.6945, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.6930, decode.d6.loss_cls: 0.2282, decode.d6.loss_mask: 0.4657, decode.d6.loss_dice: 0.6867, decode.d7.loss_cls: 0.2245, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6848, loss: 15.2655 2022-05-02 09:14:36,935 - mmseg - INFO - Iter [77800/80000] lr: 3.950e-08, eta: 1:10:23, time: 1.801, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2072, decode.loss_mask: 0.4664, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.2511, decode.d0.loss_mask: 0.5104, decode.d0.loss_dice: 0.7826, decode.d1.loss_cls: 0.3044, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7334, decode.d2.loss_cls: 0.2625, decode.d2.loss_mask: 0.4752, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2480, decode.d3.loss_mask: 0.4725, decode.d3.loss_dice: 0.6956, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.6962, decode.d5.loss_cls: 0.2239, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.6937, decode.d6.loss_cls: 0.2139, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2096, decode.d7.loss_mask: 0.4665, decode.d7.loss_dice: 0.6909, decode.d8.loss_cls: 0.2123, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.6916, loss: 15.1961 2022-05-02 09:16:06,597 - mmseg - INFO - Iter [77850/80000] lr: 3.860e-08, eta: 1:08:47, time: 1.793, data_time: 0.018, memory: 64716, decode.loss_cls: 0.2062, decode.loss_mask: 0.4674, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.2075, decode.d0.loss_mask: 0.5136, decode.d0.loss_dice: 0.7867, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7452, decode.d2.loss_cls: 0.2475, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7206, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7040, decode.d4.loss_cls: 0.2276, decode.d4.loss_mask: 0.4727, decode.d4.loss_dice: 0.6983, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4693, decode.d5.loss_dice: 0.6954, decode.d6.loss_cls: 0.2166, decode.d6.loss_mask: 0.4674, decode.d6.loss_dice: 0.6913, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4681, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.2060, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.6939, loss: 15.1596 2022-05-02 09:17:37,181 - mmseg - INFO - Iter [77900/80000] lr: 3.771e-08, eta: 1:07:11, time: 1.813, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2371, decode.loss_mask: 0.4584, decode.loss_dice: 0.6977, decode.d0.loss_cls: 1.2803, decode.d0.loss_mask: 0.5103, decode.d0.loss_dice: 0.8058, decode.d1.loss_cls: 0.3286, decode.d1.loss_mask: 0.4842, decode.d1.loss_dice: 0.7536, decode.d2.loss_cls: 0.2910, decode.d2.loss_mask: 0.4700, decode.d2.loss_dice: 0.7202, decode.d3.loss_cls: 0.2616, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2527, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2441, decode.d6.loss_mask: 0.4606, decode.d6.loss_dice: 0.7006, decode.d7.loss_cls: 0.2442, decode.d7.loss_mask: 0.4587, decode.d7.loss_dice: 0.6972, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4599, decode.d8.loss_dice: 0.6994, loss: 15.5126 2022-05-02 09:19:07,214 - mmseg - INFO - Iter [77950/80000] lr: 3.681e-08, eta: 1:05:35, time: 1.800, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2145, decode.loss_mask: 0.4661, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2357, decode.d0.loss_mask: 0.5139, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3063, decode.d1.loss_mask: 0.4858, decode.d1.loss_dice: 0.7461, decode.d2.loss_cls: 0.2523, decode.d2.loss_mask: 0.4779, decode.d2.loss_dice: 0.7267, decode.d3.loss_cls: 0.2361, decode.d3.loss_mask: 0.4740, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2267, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7125, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4698, decode.d5.loss_dice: 0.7088, decode.d6.loss_cls: 0.2144, decode.d6.loss_mask: 0.4694, decode.d6.loss_dice: 0.7017, decode.d7.loss_cls: 0.2173, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.2092, decode.d8.loss_mask: 0.4673, decode.d8.loss_dice: 0.7064, loss: 15.3258 2022-05-02 09:20:36,035 - mmseg - INFO - Saving checkpoint at 78000 iterations 2022-05-02 09:21:07,070 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 09:21:07,080 - mmseg - INFO - Iter [78000/80000] lr: 3.591e-08, eta: 1:03:59, time: 2.396, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2086, decode.loss_mask: 0.4470, decode.loss_dice: 0.6844, decode.d0.loss_cls: 1.2595, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7371, decode.d2.loss_cls: 0.2604, decode.d2.loss_mask: 0.4565, decode.d2.loss_dice: 0.7153, decode.d3.loss_cls: 0.2378, decode.d3.loss_mask: 0.4530, decode.d3.loss_dice: 0.6988, decode.d4.loss_cls: 0.2284, decode.d4.loss_mask: 0.4514, decode.d4.loss_dice: 0.6926, decode.d5.loss_cls: 0.2252, decode.d5.loss_mask: 0.4505, decode.d5.loss_dice: 0.6893, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6851, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6843, decode.d8.loss_cls: 0.2100, decode.d8.loss_mask: 0.4466, decode.d8.loss_dice: 0.6825, loss: 14.9799 2022-05-02 09:22:37,271 - mmseg - INFO - Iter [78050/80000] lr: 3.502e-08, eta: 1:02:23, time: 1.805, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2025, decode.loss_mask: 0.4575, decode.loss_dice: 0.6839, decode.d0.loss_cls: 1.2507, decode.d0.loss_mask: 0.4973, decode.d0.loss_dice: 0.7724, decode.d1.loss_cls: 0.2946, decode.d1.loss_mask: 0.4765, decode.d1.loss_dice: 0.7294, decode.d2.loss_cls: 0.2474, decode.d2.loss_mask: 0.4672, decode.d2.loss_dice: 0.7089, decode.d3.loss_cls: 0.2301, decode.d3.loss_mask: 0.4627, decode.d3.loss_dice: 0.6891, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4614, decode.d4.loss_dice: 0.6911, decode.d5.loss_cls: 0.2130, decode.d5.loss_mask: 0.4607, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2067, decode.d6.loss_mask: 0.4583, decode.d6.loss_dice: 0.6866, decode.d7.loss_cls: 0.2055, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6874, decode.d8.loss_cls: 0.1994, decode.d8.loss_mask: 0.4587, decode.d8.loss_dice: 0.6879, loss: 14.9573 2022-05-02 09:24:08,410 - mmseg - INFO - Iter [78100/80000] lr: 3.412e-08, eta: 1:00:47, time: 1.823, data_time: 0.015, memory: 64716, decode.loss_cls: 0.1865, decode.loss_mask: 0.4827, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.2165, decode.d0.loss_mask: 0.5310, decode.d0.loss_dice: 0.7767, decode.d1.loss_cls: 0.2702, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7328, decode.d2.loss_cls: 0.2308, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7061, decode.d3.loss_cls: 0.2171, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.6982, decode.d4.loss_cls: 0.2051, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2006, decode.d5.loss_mask: 0.4832, decode.d5.loss_dice: 0.6937, decode.d6.loss_cls: 0.1917, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.6874, decode.d7.loss_cls: 0.1896, decode.d7.loss_mask: 0.4823, decode.d7.loss_dice: 0.6890, decode.d8.loss_cls: 0.1915, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.6883, loss: 15.0682 2022-05-02 09:25:37,783 - mmseg - INFO - Iter [78150/80000] lr: 3.322e-08, eta: 0:59:11, time: 1.789, data_time: 0.016, memory: 64716, decode.loss_cls: 0.1983, decode.loss_mask: 0.4595, decode.loss_dice: 0.6791, decode.d0.loss_cls: 1.2133, decode.d0.loss_mask: 0.4993, decode.d0.loss_dice: 0.7667, decode.d1.loss_cls: 0.2936, decode.d1.loss_mask: 0.4834, decode.d1.loss_dice: 0.7216, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.6977, decode.d3.loss_cls: 0.2302, decode.d3.loss_mask: 0.4651, decode.d3.loss_dice: 0.6900, decode.d4.loss_cls: 0.2242, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6832, decode.d5.loss_cls: 0.2189, decode.d5.loss_mask: 0.4613, decode.d5.loss_dice: 0.6812, decode.d6.loss_cls: 0.2102, decode.d6.loss_mask: 0.4592, decode.d6.loss_dice: 0.6801, decode.d7.loss_cls: 0.2044, decode.d7.loss_mask: 0.4603, decode.d7.loss_dice: 0.6789, decode.d8.loss_cls: 0.2023, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6793, loss: 14.8879 2022-05-02 09:27:08,092 - mmseg - INFO - Iter [78200/80000] lr: 3.232e-08, eta: 0:57:35, time: 1.806, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2090, decode.loss_mask: 0.4602, decode.loss_dice: 0.6827, decode.d0.loss_cls: 1.2542, decode.d0.loss_mask: 0.5065, decode.d0.loss_dice: 0.7785, decode.d1.loss_cls: 0.3042, decode.d1.loss_mask: 0.4774, decode.d1.loss_dice: 0.7260, decode.d2.loss_cls: 0.2565, decode.d2.loss_mask: 0.4694, decode.d2.loss_dice: 0.7041, decode.d3.loss_cls: 0.2355, decode.d3.loss_mask: 0.4677, decode.d3.loss_dice: 0.6922, decode.d4.loss_cls: 0.2308, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6890, decode.d5.loss_cls: 0.2198, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.6869, decode.d6.loss_cls: 0.2155, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.6808, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.6858, loss: 15.0430 2022-05-02 09:28:38,776 - mmseg - INFO - Iter [78250/80000] lr: 3.143e-08, eta: 0:55:59, time: 1.813, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2196, decode.loss_mask: 0.4808, decode.loss_dice: 0.6985, decode.d0.loss_cls: 1.2281, decode.d0.loss_mask: 0.5259, decode.d0.loss_dice: 0.7927, decode.d1.loss_cls: 0.3117, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4925, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2419, decode.d3.loss_mask: 0.4876, decode.d3.loss_dice: 0.7147, decode.d4.loss_cls: 0.2338, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7108, decode.d5.loss_cls: 0.2251, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7017, decode.d6.loss_cls: 0.2237, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7019, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4821, decode.d7.loss_dice: 0.7025, decode.d8.loss_cls: 0.2171, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7018, loss: 15.4845 2022-05-02 09:30:08,955 - mmseg - INFO - Iter [78300/80000] lr: 3.053e-08, eta: 0:54:23, time: 1.804, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2061, decode.loss_mask: 0.4612, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.2218, decode.d0.loss_mask: 0.5047, decode.d0.loss_dice: 0.8041, decode.d1.loss_cls: 0.2929, decode.d1.loss_mask: 0.4792, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2598, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4680, decode.d3.loss_dice: 0.7179, decode.d4.loss_cls: 0.2230, decode.d4.loss_mask: 0.4641, decode.d4.loss_dice: 0.7122, decode.d5.loss_cls: 0.2172, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7126, decode.d6.loss_cls: 0.2116, decode.d6.loss_mask: 0.4624, decode.d6.loss_dice: 0.7080, decode.d7.loss_cls: 0.2042, decode.d7.loss_mask: 0.4626, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2043, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.7071, loss: 15.2274 2022-05-02 09:31:39,351 - mmseg - INFO - Iter [78350/80000] lr: 2.963e-08, eta: 0:52:47, time: 1.809, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2137, decode.loss_mask: 0.4545, decode.loss_dice: 0.7003, decode.d0.loss_cls: 1.2455, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7508, decode.d2.loss_cls: 0.2655, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.7147, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4603, decode.d4.loss_dice: 0.7141, decode.d5.loss_cls: 0.2314, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2261, decode.d6.loss_mask: 0.4545, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2226, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4541, decode.d8.loss_dice: 0.6988, loss: 15.2834 2022-05-02 09:33:12,248 - mmseg - INFO - Iter [78400/80000] lr: 2.873e-08, eta: 0:51:10, time: 1.856, data_time: 0.060, memory: 64716, decode.loss_cls: 0.2023, decode.loss_mask: 0.4395, decode.loss_dice: 0.6714, decode.d0.loss_cls: 1.2403, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7679, decode.d1.loss_cls: 0.2902, decode.d1.loss_mask: 0.4568, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2473, decode.d2.loss_mask: 0.4503, decode.d2.loss_dice: 0.6974, decode.d3.loss_cls: 0.2286, decode.d3.loss_mask: 0.4457, decode.d3.loss_dice: 0.6864, decode.d4.loss_cls: 0.2157, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6843, decode.d5.loss_cls: 0.2129, decode.d5.loss_mask: 0.4419, decode.d5.loss_dice: 0.6833, decode.d6.loss_cls: 0.2113, decode.d6.loss_mask: 0.4406, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.2020, decode.d7.loss_mask: 0.4398, decode.d7.loss_dice: 0.6764, decode.d8.loss_cls: 0.1995, decode.d8.loss_mask: 0.4397, decode.d8.loss_dice: 0.6797, loss: 14.6747 2022-05-02 09:34:42,873 - mmseg - INFO - Iter [78450/80000] lr: 2.784e-08, eta: 0:49:34, time: 1.813, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2181, decode.loss_mask: 0.4597, decode.loss_dice: 0.6842, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7782, decode.d1.loss_cls: 0.3121, decode.d1.loss_mask: 0.4794, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2646, decode.d2.loss_mask: 0.4685, decode.d2.loss_dice: 0.7042, decode.d3.loss_cls: 0.2445, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.6977, decode.d4.loss_cls: 0.2344, decode.d4.loss_mask: 0.4617, decode.d4.loss_dice: 0.6941, decode.d5.loss_cls: 0.2282, decode.d5.loss_mask: 0.4601, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4579, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.2160, decode.d8.loss_mask: 0.4585, decode.d8.loss_dice: 0.6857, loss: 15.1069 2022-05-02 09:36:13,209 - mmseg - INFO - Iter [78500/80000] lr: 2.694e-08, eta: 0:47:58, time: 1.808, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2065, decode.loss_mask: 0.4830, decode.loss_dice: 0.6988, decode.d0.loss_cls: 1.2334, decode.d0.loss_mask: 0.5292, decode.d0.loss_dice: 0.7946, decode.d1.loss_cls: 0.2993, decode.d1.loss_mask: 0.5047, decode.d1.loss_dice: 0.7513, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.4933, decode.d2.loss_dice: 0.7254, decode.d3.loss_cls: 0.2350, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2251, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2241, decode.d5.loss_mask: 0.4859, decode.d5.loss_dice: 0.7063, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.7014, decode.d7.loss_cls: 0.2105, decode.d7.loss_mask: 0.4836, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2088, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7019, loss: 15.4327 2022-05-02 09:37:45,068 - mmseg - INFO - Iter [78550/80000] lr: 2.604e-08, eta: 0:46:22, time: 1.836, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2190, decode.loss_mask: 0.4541, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.2610, decode.d0.loss_mask: 0.5023, decode.d0.loss_dice: 0.7860, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7393, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4641, decode.d2.loss_dice: 0.7084, decode.d3.loss_cls: 0.2472, decode.d3.loss_mask: 0.4594, decode.d3.loss_dice: 0.6960, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.6955, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6918, decode.d6.loss_cls: 0.2264, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6877, decode.d8.loss_cls: 0.2218, decode.d8.loss_mask: 0.4559, decode.d8.loss_dice: 0.6882, loss: 15.1444 2022-05-02 09:39:15,692 - mmseg - INFO - Iter [78600/80000] lr: 2.514e-08, eta: 0:44:46, time: 1.814, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2164, decode.loss_mask: 0.4650, decode.loss_dice: 0.6966, decode.d0.loss_cls: 1.2303, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.7891, decode.d1.loss_cls: 0.3101, decode.d1.loss_mask: 0.4871, decode.d1.loss_dice: 0.7409, decode.d2.loss_cls: 0.2604, decode.d2.loss_mask: 0.4765, decode.d2.loss_dice: 0.7135, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.7068, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.7032, decode.d5.loss_cls: 0.2276, decode.d5.loss_mask: 0.4694, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2221, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.6961, decode.d7.loss_cls: 0.2115, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6977, decode.d8.loss_cls: 0.2173, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.6973, loss: 15.2713 2022-05-02 09:40:46,104 - mmseg - INFO - Iter [78650/80000] lr: 2.425e-08, eta: 0:43:10, time: 1.808, data_time: 0.013, memory: 64716, decode.loss_cls: 0.1976, decode.loss_mask: 0.4532, decode.loss_dice: 0.6810, decode.d0.loss_cls: 1.2282, decode.d0.loss_mask: 0.5013, decode.d0.loss_dice: 0.7683, decode.d1.loss_cls: 0.3006, decode.d1.loss_mask: 0.4778, decode.d1.loss_dice: 0.7268, decode.d2.loss_cls: 0.2487, decode.d2.loss_mask: 0.4638, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.6900, decode.d4.loss_cls: 0.2211, decode.d4.loss_mask: 0.4575, decode.d4.loss_dice: 0.6860, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4570, decode.d5.loss_dice: 0.6862, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4547, decode.d6.loss_dice: 0.6801, decode.d7.loss_cls: 0.2011, decode.d7.loss_mask: 0.4527, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1971, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6768, loss: 14.8459 2022-05-02 09:42:16,569 - mmseg - INFO - Iter [78700/80000] lr: 2.335e-08, eta: 0:41:34, time: 1.808, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2074, decode.loss_mask: 0.4666, decode.loss_dice: 0.6939, decode.d0.loss_cls: 1.2487, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.2975, decode.d1.loss_mask: 0.4880, decode.d1.loss_dice: 0.7334, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4821, decode.d2.loss_dice: 0.7108, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.6997, decode.d4.loss_cls: 0.2220, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.6985, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4699, decode.d5.loss_dice: 0.6963, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4692, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.2097, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.6899, decode.d8.loss_cls: 0.2091, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.6951, loss: 15.1838 2022-05-02 09:43:47,300 - mmseg - INFO - Iter [78750/80000] lr: 2.245e-08, eta: 0:39:58, time: 1.816, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2067, decode.loss_mask: 0.4823, decode.loss_dice: 0.6854, decode.d0.loss_cls: 1.2500, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.7800, decode.d1.loss_cls: 0.2985, decode.d1.loss_mask: 0.5015, decode.d1.loss_dice: 0.7334, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.4908, decode.d2.loss_dice: 0.7071, decode.d3.loss_cls: 0.2340, decode.d3.loss_mask: 0.4860, decode.d3.loss_dice: 0.7027, decode.d4.loss_cls: 0.2243, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2148, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.6954, decode.d6.loss_cls: 0.2132, decode.d6.loss_mask: 0.4815, decode.d6.loss_dice: 0.6897, decode.d7.loss_cls: 0.2102, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.2069, decode.d8.loss_mask: 0.4807, decode.d8.loss_dice: 0.6868, loss: 15.2805 2022-05-02 09:45:17,130 - mmseg - INFO - Iter [78800/80000] lr: 2.155e-08, eta: 0:38:22, time: 1.797, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2022, decode.loss_mask: 0.4508, decode.loss_dice: 0.6773, decode.d0.loss_cls: 1.2275, decode.d0.loss_mask: 0.4953, decode.d0.loss_dice: 0.7699, decode.d1.loss_cls: 0.2902, decode.d1.loss_mask: 0.4738, decode.d1.loss_dice: 0.7214, decode.d2.loss_cls: 0.2485, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.6974, decode.d3.loss_cls: 0.2286, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.6903, decode.d4.loss_cls: 0.2198, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.6857, decode.d5.loss_cls: 0.2094, decode.d5.loss_mask: 0.4567, decode.d5.loss_dice: 0.6848, decode.d6.loss_cls: 0.2063, decode.d6.loss_mask: 0.4532, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.2045, decode.d7.loss_mask: 0.4526, decode.d7.loss_dice: 0.6826, decode.d8.loss_cls: 0.2029, decode.d8.loss_mask: 0.4502, decode.d8.loss_dice: 0.6779, loss: 14.8184 2022-05-02 09:46:46,597 - mmseg - INFO - Iter [78850/80000] lr: 2.066e-08, eta: 0:36:46, time: 1.789, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2249, decode.loss_mask: 0.4952, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.2295, decode.d0.loss_mask: 0.5404, decode.d0.loss_dice: 0.7994, decode.d1.loss_cls: 0.3057, decode.d1.loss_mask: 0.5199, decode.d1.loss_dice: 0.7551, decode.d2.loss_cls: 0.2643, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7289, decode.d3.loss_cls: 0.2471, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7204, decode.d4.loss_cls: 0.2369, decode.d4.loss_mask: 0.5005, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2338, decode.d5.loss_mask: 0.4983, decode.d5.loss_dice: 0.7121, decode.d6.loss_cls: 0.2314, decode.d6.loss_mask: 0.4972, decode.d6.loss_dice: 0.7116, decode.d7.loss_cls: 0.2301, decode.d7.loss_mask: 0.4962, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2270, decode.d8.loss_mask: 0.4947, decode.d8.loss_dice: 0.7065, loss: 15.7490 2022-05-02 09:48:17,061 - mmseg - INFO - Iter [78900/80000] lr: 1.976e-08, eta: 0:35:10, time: 1.809, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2159, decode.loss_mask: 0.4667, decode.loss_dice: 0.7061, decode.d0.loss_cls: 1.2520, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.7951, decode.d1.loss_cls: 0.3081, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2570, decode.d2.loss_mask: 0.4783, decode.d2.loss_dice: 0.7259, decode.d3.loss_cls: 0.2430, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2315, decode.d4.loss_mask: 0.4716, decode.d4.loss_dice: 0.7164, decode.d5.loss_cls: 0.2291, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2212, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2156, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7090, decode.d8.loss_cls: 0.2137, decode.d8.loss_mask: 0.4681, decode.d8.loss_dice: 0.7099, loss: 15.4070 2022-05-02 09:49:46,606 - mmseg - INFO - Iter [78950/80000] lr: 1.886e-08, eta: 0:33:34, time: 1.791, data_time: 0.015, memory: 64716, decode.loss_cls: 0.1913, decode.loss_mask: 0.4661, decode.loss_dice: 0.6789, decode.d0.loss_cls: 1.2379, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.7671, decode.d1.loss_cls: 0.2871, decode.d1.loss_mask: 0.4932, decode.d1.loss_dice: 0.7232, decode.d2.loss_cls: 0.2424, decode.d2.loss_mask: 0.4774, decode.d2.loss_dice: 0.6984, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.6904, decode.d4.loss_cls: 0.2121, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.6879, decode.d5.loss_cls: 0.2013, decode.d5.loss_mask: 0.4711, decode.d5.loss_dice: 0.6840, decode.d6.loss_cls: 0.1972, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.6812, decode.d7.loss_cls: 0.1942, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.6817, decode.d8.loss_cls: 0.1877, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.6803, loss: 14.9128 2022-05-02 09:51:17,226 - mmseg - INFO - Saving checkpoint at 79000 iterations 2022-05-02 09:51:34,755 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 09:51:34,756 - mmseg - INFO - Iter [79000/80000] lr: 1.797e-08, eta: 0:31:58, time: 2.163, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2112, decode.loss_mask: 0.4591, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.2462, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.7935, decode.d1.loss_cls: 0.3060, decode.d1.loss_mask: 0.4784, decode.d1.loss_dice: 0.7419, decode.d2.loss_cls: 0.2621, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7220, decode.d3.loss_cls: 0.2498, decode.d3.loss_mask: 0.4651, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2322, decode.d4.loss_mask: 0.4631, decode.d4.loss_dice: 0.7017, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.7024, decode.d6.loss_cls: 0.2221, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.7023, decode.d7.loss_cls: 0.2154, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6991, decode.d8.loss_cls: 0.2164, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6974, loss: 15.2426 2022-05-02 09:53:06,125 - mmseg - INFO - Iter [79050/80000] lr: 1.707e-08, eta: 0:30:22, time: 1.826, data_time: 0.013, memory: 64716, decode.loss_cls: 0.2073, decode.loss_mask: 0.4726, decode.loss_dice: 0.7213, decode.d0.loss_cls: 1.2396, decode.d0.loss_mask: 0.5214, decode.d0.loss_dice: 0.8102, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.5000, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.2538, decode.d2.loss_mask: 0.4887, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2328, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7289, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4804, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2152, decode.d5.loss_mask: 0.4789, decode.d5.loss_dice: 0.7280, decode.d6.loss_cls: 0.2132, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2057, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.7159, decode.d8.loss_cls: 0.2077, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.7218, loss: 15.5219 2022-05-02 09:54:36,410 - mmseg - INFO - Iter [79100/80000] lr: 1.617e-08, eta: 0:28:46, time: 1.806, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2084, decode.loss_mask: 0.4625, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.2551, decode.d0.loss_mask: 0.5078, decode.d0.loss_dice: 0.7933, decode.d1.loss_cls: 0.3029, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7537, decode.d2.loss_cls: 0.2560, decode.d2.loss_mask: 0.4732, decode.d2.loss_dice: 0.7249, decode.d3.loss_cls: 0.2357, decode.d3.loss_mask: 0.4707, decode.d3.loss_dice: 0.7139, decode.d4.loss_cls: 0.2291, decode.d4.loss_mask: 0.4686, decode.d4.loss_dice: 0.7126, decode.d5.loss_cls: 0.2256, decode.d5.loss_mask: 0.4655, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2132, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.7042, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.7046, decode.d8.loss_cls: 0.2061, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.7053, loss: 15.2871 2022-05-02 09:56:06,844 - mmseg - INFO - Iter [79150/80000] lr: 1.527e-08, eta: 0:27:10, time: 1.807, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2194, decode.loss_mask: 0.4558, decode.loss_dice: 0.6961, decode.d0.loss_cls: 1.2572, decode.d0.loss_mask: 0.5047, decode.d0.loss_dice: 0.8019, decode.d1.loss_cls: 0.3171, decode.d1.loss_mask: 0.4811, decode.d1.loss_dice: 0.7499, decode.d2.loss_cls: 0.2736, decode.d2.loss_mask: 0.4661, decode.d2.loss_dice: 0.7202, decode.d3.loss_cls: 0.2491, decode.d3.loss_mask: 0.4620, decode.d3.loss_dice: 0.7092, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4605, decode.d4.loss_dice: 0.7059, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.4582, decode.d5.loss_dice: 0.7024, decode.d6.loss_cls: 0.2232, decode.d6.loss_mask: 0.4577, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4565, decode.d7.loss_dice: 0.6998, decode.d8.loss_cls: 0.2198, decode.d8.loss_mask: 0.4562, decode.d8.loss_dice: 0.7010, loss: 15.2907 2022-05-02 09:57:37,711 - mmseg - INFO - Iter [79200/80000] lr: 1.438e-08, eta: 0:25:34, time: 1.818, data_time: 0.016, memory: 64716, decode.loss_cls: 0.1970, decode.loss_mask: 0.4773, decode.loss_dice: 0.6845, decode.d0.loss_cls: 1.2451, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.7752, decode.d1.loss_cls: 0.2779, decode.d1.loss_mask: 0.5006, decode.d1.loss_dice: 0.7305, decode.d2.loss_cls: 0.2387, decode.d2.loss_mask: 0.4925, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2237, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.2151, decode.d4.loss_mask: 0.4838, decode.d4.loss_dice: 0.6975, decode.d5.loss_cls: 0.2112, decode.d5.loss_mask: 0.4810, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2049, decode.d6.loss_mask: 0.4786, decode.d6.loss_dice: 0.6883, decode.d7.loss_cls: 0.1971, decode.d7.loss_mask: 0.4775, decode.d7.loss_dice: 0.6875, decode.d8.loss_cls: 0.1955, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.6882, loss: 15.1341 2022-05-02 09:59:08,929 - mmseg - INFO - Iter [79250/80000] lr: 1.348e-08, eta: 0:23:58, time: 1.825, data_time: 0.015, memory: 64716, decode.loss_cls: 0.1967, decode.loss_mask: 0.4640, decode.loss_dice: 0.6809, decode.d0.loss_cls: 1.2280, decode.d0.loss_mask: 0.5041, decode.d0.loss_dice: 0.7733, decode.d1.loss_cls: 0.2812, decode.d1.loss_mask: 0.4881, decode.d1.loss_dice: 0.7364, decode.d2.loss_cls: 0.2502, decode.d2.loss_mask: 0.4782, decode.d2.loss_dice: 0.7047, decode.d3.loss_cls: 0.2297, decode.d3.loss_mask: 0.4729, decode.d3.loss_dice: 0.6974, decode.d4.loss_cls: 0.2157, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.6915, decode.d5.loss_cls: 0.2104, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.6891, decode.d6.loss_cls: 0.2077, decode.d6.loss_mask: 0.4649, decode.d6.loss_dice: 0.6826, decode.d7.loss_cls: 0.2006, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.6821, decode.d8.loss_cls: 0.1995, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6808, loss: 14.9791 2022-05-02 10:00:38,522 - mmseg - INFO - Iter [79300/80000] lr: 1.258e-08, eta: 0:22:22, time: 1.791, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2198, decode.loss_mask: 0.4659, decode.loss_dice: 0.7091, decode.d0.loss_cls: 1.2802, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3095, decode.d1.loss_mask: 0.4875, decode.d1.loss_dice: 0.7653, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4744, decode.d2.loss_dice: 0.7340, decode.d3.loss_cls: 0.2474, decode.d3.loss_mask: 0.4711, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2316, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.7166, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4704, decode.d5.loss_dice: 0.7175, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.7115, decode.d7.loss_cls: 0.2217, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.7109, decode.d8.loss_cls: 0.2222, decode.d8.loss_mask: 0.4651, decode.d8.loss_dice: 0.7091, loss: 15.5039 2022-05-02 10:02:08,160 - mmseg - INFO - Iter [79350/80000] lr: 1.168e-08, eta: 0:20:46, time: 1.794, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2007, decode.loss_mask: 0.4614, decode.loss_dice: 0.6916, decode.d0.loss_cls: 1.2107, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2853, decode.d1.loss_mask: 0.4814, decode.d1.loss_dice: 0.7348, decode.d2.loss_cls: 0.2500, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7151, decode.d3.loss_cls: 0.2282, decode.d3.loss_mask: 0.4683, decode.d3.loss_dice: 0.7045, decode.d4.loss_cls: 0.2168, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.7018, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4661, decode.d5.loss_dice: 0.6951, decode.d6.loss_cls: 0.2070, decode.d6.loss_mask: 0.4631, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.2039, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2042, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6957, loss: 15.0201 2022-05-02 10:03:38,496 - mmseg - INFO - Iter [79400/80000] lr: 1.079e-08, eta: 0:19:10, time: 1.805, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2055, decode.loss_mask: 0.4765, decode.loss_dice: 0.7057, decode.d0.loss_cls: 1.2447, decode.d0.loss_mask: 0.5126, decode.d0.loss_dice: 0.8002, decode.d1.loss_cls: 0.3049, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7502, decode.d2.loss_cls: 0.2592, decode.d2.loss_mask: 0.4857, decode.d2.loss_dice: 0.7303, decode.d3.loss_cls: 0.2349, decode.d3.loss_mask: 0.4819, decode.d3.loss_dice: 0.7175, decode.d4.loss_cls: 0.2296, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7141, decode.d5.loss_cls: 0.2202, decode.d5.loss_mask: 0.4799, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2109, decode.d6.loss_mask: 0.4788, decode.d6.loss_dice: 0.7042, decode.d7.loss_cls: 0.2044, decode.d7.loss_mask: 0.4778, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2063, decode.d8.loss_mask: 0.4791, decode.d8.loss_dice: 0.7101, loss: 15.4151 2022-05-02 10:05:08,478 - mmseg - INFO - Iter [79450/80000] lr: 9.889e-09, eta: 0:17:34, time: 1.801, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2028, decode.loss_mask: 0.4606, decode.loss_dice: 0.6978, decode.d0.loss_cls: 1.2468, decode.d0.loss_mask: 0.5012, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3010, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7443, decode.d2.loss_cls: 0.2602, decode.d2.loss_mask: 0.4691, decode.d2.loss_dice: 0.7197, decode.d3.loss_cls: 0.2351, decode.d3.loss_mask: 0.4689, decode.d3.loss_dice: 0.7104, decode.d4.loss_cls: 0.2250, decode.d4.loss_mask: 0.4638, decode.d4.loss_dice: 0.7077, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4656, decode.d5.loss_dice: 0.7079, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4632, decode.d6.loss_dice: 0.6984, decode.d7.loss_cls: 0.2084, decode.d7.loss_mask: 0.4629, decode.d7.loss_dice: 0.7015, decode.d8.loss_cls: 0.2053, decode.d8.loss_mask: 0.4610, decode.d8.loss_dice: 0.6973, loss: 15.1715 2022-05-02 10:06:38,645 - mmseg - INFO - Iter [79500/80000] lr: 8.992e-09, eta: 0:15:59, time: 1.802, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2170, decode.loss_mask: 0.4651, decode.loss_dice: 0.7043, decode.d0.loss_cls: 1.2715, decode.d0.loss_mask: 0.5160, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3173, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7596, decode.d2.loss_cls: 0.2727, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7279, decode.d3.loss_cls: 0.2518, decode.d3.loss_mask: 0.4688, decode.d3.loss_dice: 0.7144, decode.d4.loss_cls: 0.2356, decode.d4.loss_mask: 0.4671, decode.d4.loss_dice: 0.7139, decode.d5.loss_cls: 0.2357, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2274, decode.d6.loss_mask: 0.4662, decode.d6.loss_dice: 0.7029, decode.d7.loss_cls: 0.2231, decode.d7.loss_mask: 0.4629, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2203, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.7040, loss: 15.4733 2022-05-02 10:08:08,757 - mmseg - INFO - Iter [79550/80000] lr: 8.094e-09, eta: 0:14:23, time: 1.802, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2104, decode.loss_mask: 0.4501, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2144, decode.d0.loss_mask: 0.4951, decode.d0.loss_dice: 0.7897, decode.d1.loss_cls: 0.3028, decode.d1.loss_mask: 0.4711, decode.d1.loss_dice: 0.7439, decode.d2.loss_cls: 0.2585, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2464, decode.d3.loss_mask: 0.4541, decode.d3.loss_dice: 0.7032, decode.d4.loss_cls: 0.2304, decode.d4.loss_mask: 0.4535, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2249, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6983, decode.d6.loss_cls: 0.2176, decode.d6.loss_mask: 0.4490, decode.d6.loss_dice: 0.6943, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4478, decode.d7.loss_dice: 0.6932, decode.d8.loss_cls: 0.2165, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.6926, loss: 15.0486 2022-05-02 10:09:38,884 - mmseg - INFO - Iter [79600/80000] lr: 7.197e-09, eta: 0:12:47, time: 1.803, data_time: 0.017, memory: 64716, decode.loss_cls: 0.2125, decode.loss_mask: 0.4615, decode.loss_dice: 0.6860, decode.d0.loss_cls: 1.2562, decode.d0.loss_mask: 0.5071, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3131, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2717, decode.d2.loss_mask: 0.4711, decode.d2.loss_dice: 0.7141, decode.d3.loss_cls: 0.2454, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.6986, decode.d4.loss_cls: 0.2308, decode.d4.loss_mask: 0.4641, decode.d4.loss_dice: 0.6984, decode.d5.loss_cls: 0.2256, decode.d5.loss_mask: 0.4616, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2162, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6896, decode.d7.loss_cls: 0.2166, decode.d7.loss_mask: 0.4616, decode.d7.loss_dice: 0.6882, decode.d8.loss_cls: 0.2113, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6857, loss: 15.1858 2022-05-02 10:11:11,641 - mmseg - INFO - Iter [79650/80000] lr: 6.300e-09, eta: 0:11:11, time: 1.856, data_time: 0.064, memory: 64716, decode.loss_cls: 0.2216, decode.loss_mask: 0.4622, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.2307, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.7850, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.4872, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2755, decode.d2.loss_mask: 0.4741, decode.d2.loss_dice: 0.7178, decode.d3.loss_cls: 0.2511, decode.d3.loss_mask: 0.4707, decode.d3.loss_dice: 0.7080, decode.d4.loss_cls: 0.2427, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2372, decode.d5.loss_mask: 0.4656, decode.d5.loss_dice: 0.6979, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.6978, decode.d7.loss_cls: 0.2193, decode.d7.loss_mask: 0.4636, decode.d7.loss_dice: 0.6923, decode.d8.loss_cls: 0.2161, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6989, loss: 15.2949 2022-05-02 10:12:43,055 - mmseg - INFO - Iter [79700/80000] lr: 5.402e-09, eta: 0:09:35, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2086, decode.loss_mask: 0.4642, decode.loss_dice: 0.7114, decode.d0.loss_cls: 1.2224, decode.d0.loss_mask: 0.5088, decode.d0.loss_dice: 0.7970, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4886, decode.d1.loss_dice: 0.7570, decode.d2.loss_cls: 0.2594, decode.d2.loss_mask: 0.4770, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2427, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2283, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2254, decode.d5.loss_mask: 0.4668, decode.d5.loss_dice: 0.7148, decode.d6.loss_cls: 0.2156, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.7139, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4638, decode.d7.loss_dice: 0.7112, decode.d8.loss_cls: 0.2117, decode.d8.loss_mask: 0.4637, decode.d8.loss_dice: 0.7082, loss: 15.3556 2022-05-02 10:14:13,053 - mmseg - INFO - Iter [79750/80000] lr: 4.505e-09, eta: 0:07:59, time: 1.800, data_time: 0.016, memory: 64716, decode.loss_cls: 0.2210, decode.loss_mask: 0.4791, decode.loss_dice: 0.6998, decode.d0.loss_cls: 1.2504, decode.d0.loss_mask: 0.5311, decode.d0.loss_dice: 0.7992, decode.d1.loss_cls: 0.3165, decode.d1.loss_mask: 0.5091, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2741, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2531, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7078, decode.d4.loss_cls: 0.2435, decode.d4.loss_mask: 0.4828, decode.d4.loss_dice: 0.7042, decode.d5.loss_cls: 0.2413, decode.d5.loss_mask: 0.4821, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2249, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7022, decode.d7.loss_cls: 0.2268, decode.d7.loss_mask: 0.4797, decode.d7.loss_dice: 0.7012, decode.d8.loss_cls: 0.2255, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.6983, loss: 15.5708 2022-05-02 10:15:42,723 - mmseg - INFO - Iter [79800/80000] lr: 3.607e-09, eta: 0:06:23, time: 1.794, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2174, decode.loss_mask: 0.4734, decode.loss_dice: 0.7017, decode.d0.loss_cls: 1.2457, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.2958, decode.d1.loss_mask: 0.4986, decode.d1.loss_dice: 0.7542, decode.d2.loss_cls: 0.2614, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7274, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4803, decode.d3.loss_dice: 0.7138, decode.d4.loss_cls: 0.2330, decode.d4.loss_mask: 0.4802, decode.d4.loss_dice: 0.7125, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7105, decode.d6.loss_cls: 0.2236, decode.d6.loss_mask: 0.4751, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2174, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7049, decode.d8.loss_cls: 0.2195, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.7030, loss: 15.4653 2022-05-02 10:17:14,027 - mmseg - INFO - Iter [79850/80000] lr: 2.710e-09, eta: 0:04:47, time: 1.827, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2131, decode.loss_mask: 0.4533, decode.loss_dice: 0.6842, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.5056, decode.d0.loss_dice: 0.7912, decode.d1.loss_cls: 0.3113, decode.d1.loss_mask: 0.4760, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4642, decode.d2.loss_dice: 0.7123, decode.d3.loss_cls: 0.2422, decode.d3.loss_mask: 0.4603, decode.d3.loss_dice: 0.6996, decode.d4.loss_cls: 0.2372, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6966, decode.d5.loss_cls: 0.2294, decode.d5.loss_mask: 0.4558, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2223, decode.d6.loss_mask: 0.4539, decode.d6.loss_dice: 0.6905, decode.d7.loss_cls: 0.2166, decode.d7.loss_mask: 0.4543, decode.d7.loss_dice: 0.6898, decode.d8.loss_cls: 0.2164, decode.d8.loss_mask: 0.4559, decode.d8.loss_dice: 0.6874, loss: 15.1092 2022-05-02 10:18:44,536 - mmseg - INFO - Iter [79900/80000] lr: 1.813e-09, eta: 0:03:11, time: 1.809, data_time: 0.014, memory: 64716, decode.loss_cls: 0.1979, decode.loss_mask: 0.4621, decode.loss_dice: 0.6739, decode.d0.loss_cls: 1.2178, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7737, decode.d1.loss_cls: 0.2938, decode.d1.loss_mask: 0.4881, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2408, decode.d2.loss_mask: 0.4776, decode.d2.loss_dice: 0.6988, decode.d3.loss_cls: 0.2316, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.6820, decode.d4.loss_cls: 0.2234, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.6805, decode.d5.loss_cls: 0.2127, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.2047, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6771, decode.d7.loss_cls: 0.2024, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.6788, decode.d8.loss_cls: 0.2000, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.6795, loss: 14.9167 2022-05-02 10:20:14,545 - mmseg - INFO - Iter [79950/80000] lr: 9.153e-10, eta: 0:01:35, time: 1.801, data_time: 0.014, memory: 64716, decode.loss_cls: 0.2066, decode.loss_mask: 0.4899, decode.loss_dice: 0.7233, decode.d0.loss_cls: 1.2233, decode.d0.loss_mask: 0.5344, decode.d0.loss_dice: 0.8062, decode.d1.loss_cls: 0.2936, decode.d1.loss_mask: 0.5162, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.5013, decode.d2.loss_dice: 0.7397, decode.d3.loss_cls: 0.2431, decode.d3.loss_mask: 0.4956, decode.d3.loss_dice: 0.7319, decode.d4.loss_cls: 0.2316, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7299, decode.d5.loss_cls: 0.2236, decode.d5.loss_mask: 0.4930, decode.d5.loss_dice: 0.7224, decode.d6.loss_cls: 0.2186, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7194, decode.d7.loss_cls: 0.2132, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2061, decode.d8.loss_mask: 0.4911, decode.d8.loss_dice: 0.7224, loss: 15.7056 2022-05-02 10:21:45,017 - mmseg - INFO - Saving checkpoint at 80000 iterations 2022-05-02 10:22:02,819 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 10:22:02,870 - mmseg - INFO - Iter [80000/80000] lr: 1.795e-11, eta: 0:00:00, time: 2.164, data_time: 0.015, memory: 64716, decode.loss_cls: 0.2019, decode.loss_mask: 0.4657, decode.loss_dice: 0.6941, decode.d0.loss_cls: 1.2365, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7889, decode.d1.loss_cls: 0.2863, decode.d1.loss_mask: 0.4889, decode.d1.loss_dice: 0.7418, decode.d2.loss_cls: 0.2425, decode.d2.loss_mask: 0.4769, decode.d2.loss_dice: 0.7175, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4717, decode.d3.loss_dice: 0.7099, decode.d4.loss_cls: 0.2197, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.7027, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4690, decode.d5.loss_dice: 0.7028, decode.d6.loss_cls: 0.2080, decode.d6.loss_mask: 0.4654, decode.d6.loss_dice: 0.6979, decode.d7.loss_cls: 0.2018, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.6969, decode.d8.loss_cls: 0.1997, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.6950, loss: 15.1414 2022-05-02 10:24:04,921 - mmseg - INFO - per class results: 2022-05-02 10:24:04,937 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 83.14 | 89.6 | | building | 85.56 | 92.41 | | sky | 95.34 | 97.63 | | floor | 86.0 | 91.8 | | tree | 78.09 | 89.75 | | ceiling | 88.38 | 94.29 | | road | 86.5 | 91.88 | | bed | 93.48 | 97.6 | | windowpane | 66.62 | 82.05 | | grass | 71.49 | 83.41 | | cabinet | 62.11 | 73.69 | | sidewalk | 73.7 | 85.74 | | person | 87.73 | 94.64 | | earth | 41.61 | 55.55 | | door | 58.7 | 75.66 | | table | 71.62 | 82.4 | | mountain | 61.76 | 75.8 | | plant | 58.37 | 69.97 | | curtain | 81.16 | 91.08 | | chair | 69.6 | 79.18 | | car | 88.7 | 94.46 | | water | 65.15 | 80.61 | | painting | 78.43 | 92.32 | | sofa | 83.47 | 90.76 | | shelf | 52.67 | 69.57 | | house | 55.26 | 71.9 | | sea | 73.31 | 84.31 | | mirror | 77.14 | 86.82 | | rug | 68.32 | 82.16 | | field | 30.82 | 53.61 | | armchair | 60.69 | 83.29 | | seat | 70.76 | 88.54 | | fence | 55.21 | 74.32 | | desk | 60.2 | 77.65 | | rock | 59.25 | 78.47 | | wardrobe | 62.22 | 76.56 | | lamp | 78.74 | 89.4 | | bathtub | 84.51 | 86.77 | | railing | 43.4 | 64.26 | | cushion | 72.4 | 84.81 | | base | 42.76 | 63.15 | | box | 37.69 | 50.74 | | column | 57.28 | 71.26 | | signboard | 42.1 | 62.37 | | chest of drawers | 34.71 | 67.18 | | counter | 41.88 | 55.09 | | sand | 61.24 | 89.57 | | sink | 85.12 | 92.46 | | skyscraper | 44.99 | 57.19 | | fireplace | 80.78 | 91.83 | | refrigerator | 83.54 | 88.69 | | grandstand | 56.02 | 85.73 | | path | 28.27 | 39.58 | | stairs | 36.24 | 42.4 | | runway | 77.0 | 97.42 | | case | 66.95 | 79.48 | | pool table | 95.61 | 98.0 | | pillow | 69.78 | 80.26 | | screen door | 64.85 | 73.19 | | stairway | 43.61 | 72.77 | | river | 15.04 | 34.0 | | bridge | 79.63 | 90.6 | | bookcase | 48.68 | 69.8 | | blind | 41.57 | 47.1 | | coffee table | 71.04 | 87.9 | | toilet | 90.3 | 93.22 | | flower | 46.89 | 70.38 | | book | 58.35 | 80.12 | | hill | 9.79 | 14.32 | | bench | 54.88 | 66.6 | | countertop | 66.69 | 84.35 | | stove | 84.5 | 89.75 | | palm | 54.86 | 78.0 | | kitchen island | 52.48 | 83.93 | | computer | 83.64 | 90.72 | | swivel chair | 52.97 | 78.37 | | boat | 79.73 | 91.25 | | bar | 62.84 | 71.4 | | arcade machine | 65.0 | 72.83 | | hovel | 44.76 | 49.23 | | bus | 92.54 | 96.53 | | towel | 81.81 | 93.39 | | light | 66.65 | 79.97 | | truck | 50.7 | 66.66 | | tower | 20.63 | 36.37 | | chandelier | 75.28 | 85.97 | | awning | 54.73 | 73.75 | | streetlight | 49.27 | 68.72 | | booth | 48.49 | 91.94 | | television receiver | 79.08 | 94.61 | | airplane | 72.33 | 76.68 | | dirt track | 20.24 | 53.51 | | apparel | 58.99 | 88.26 | | pole | 41.05 | 62.72 | | land | 0.01 | 0.02 | | bannister | 23.34 | 31.98 | | escalator | 62.36 | 78.56 | | ottoman | 55.77 | 72.85 | | bottle | 33.32 | 44.86 | | buffet | 55.66 | 71.36 | | poster | 36.79 | 56.82 | | stage | 31.25 | 47.8 | | van | 43.41 | 66.28 | | ship | 57.29 | 59.86 | | fountain | 34.79 | 35.79 | | conveyer belt | 63.62 | 97.34 | | canopy | 53.39 | 82.32 | | washer | 90.0 | 95.33 | | plaything | 51.32 | 77.67 | | swimming pool | 58.59 | 75.22 | | stool | 58.69 | 79.69 | | barrel | 77.77 | 97.9 | | basket | 40.86 | 63.72 | | waterfall | 55.98 | 61.92 | | tent | 92.78 | 97.61 | | bag | 27.78 | 36.9 | | minibike | 80.12 | 92.62 | | cradle | 87.11 | 97.73 | | oven | 67.16 | 81.82 | | ball | 57.14 | 63.6 | | food | 74.66 | 85.22 | | step | 19.86 | 29.65 | | tank | 55.38 | 69.45 | | trade name | 28.62 | 34.57 | | microwave | 92.6 | 97.32 | | pot | 62.88 | 76.79 | | animal | 70.02 | 71.61 | | bicycle | 63.7 | 80.72 | | lake | 63.53 | 63.63 | | dishwasher | 75.95 | 85.53 | | screen | 59.37 | 93.09 | | blanket | 28.26 | 38.25 | | sculpture | 65.95 | 89.71 | | hood | 62.8 | 77.27 | | sconce | 64.77 | 78.48 | | vase | 53.1 | 76.83 | | traffic light | 52.61 | 71.22 | | tray | 32.53 | 43.65 | | ashcan | 47.95 | 71.98 | | fan | 72.74 | 85.07 | | pier | 64.75 | 73.26 | | crt screen | 2.14 | 6.31 | | plate | 67.18 | 83.03 | | monitor | 11.51 | 14.63 | | bulletin board | 48.11 | 61.66 | | shower | 3.82 | 28.22 | | radiator | 71.1 | 90.0 | | glass | 26.9 | 29.93 | | clock | 52.56 | 67.63 | | flag | 73.96 | 84.71 | +---------------------+-------+-------+ 2022-05-02 10:24:04,937 - mmseg - INFO - Summary: 2022-05-02 10:24:04,938 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 86.69 | 59.42 | 73.35 | +-------+-------+-------+ 2022-05-02 10:24:04,945 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_ade20k_pt2ft_200query.py 2022-05-02 10:24:04,948 - mmseg - INFO - Iter(val) [125] aAcc: 0.8669, mIoU: 0.5942, mAcc: 0.7335, IoU.wall: 0.8314, IoU.building: 0.8556, IoU.sky: 0.9534, IoU.floor: 0.8600, IoU.tree: 0.7809, IoU.ceiling: 0.8838, IoU.road: 0.8650, IoU.bed : 0.9348, IoU.windowpane: 0.6662, IoU.grass: 0.7149, IoU.cabinet: 0.6211, IoU.sidewalk: 0.7370, IoU.person: 0.8773, IoU.earth: 0.4161, IoU.door: 0.5870, IoU.table: 0.7162, IoU.mountain: 0.6176, IoU.plant: 0.5837, IoU.curtain: 0.8116, IoU.chair: 0.6960, IoU.car: 0.8870, IoU.water: 0.6515, IoU.painting: 0.7843, IoU.sofa: 0.8347, IoU.shelf: 0.5267, IoU.house: 0.5526, IoU.sea: 0.7331, IoU.mirror: 0.7714, IoU.rug: 0.6832, IoU.field: 0.3082, IoU.armchair: 0.6069, IoU.seat: 0.7076, IoU.fence: 0.5521, IoU.desk: 0.6020, IoU.rock: 0.5925, IoU.wardrobe: 0.6222, IoU.lamp: 0.7874, IoU.bathtub: 0.8451, IoU.railing: 0.4340, IoU.cushion: 0.7240, IoU.base: 0.4276, IoU.box: 0.3769, IoU.column: 0.5728, IoU.signboard: 0.4210, IoU.chest of drawers: 0.3471, IoU.counter: 0.4188, IoU.sand: 0.6124, IoU.sink: 0.8512, IoU.skyscraper: 0.4499, IoU.fireplace: 0.8078, IoU.refrigerator: 0.8354, IoU.grandstand: 0.5602, IoU.path: 0.2827, IoU.stairs: 0.3624, IoU.runway: 0.7700, IoU.case: 0.6695, IoU.pool table: 0.9561, IoU.pillow: 0.6978, IoU.screen door: 0.6485, IoU.stairway: 0.4361, IoU.river: 0.1504, IoU.bridge: 0.7963, IoU.bookcase: 0.4868, IoU.blind: 0.4157, IoU.coffee table: 0.7104, IoU.toilet: 0.9030, IoU.flower: 0.4689, IoU.book: 0.5835, IoU.hill: 0.0979, IoU.bench: 0.5488, IoU.countertop: 0.6669, IoU.stove: 0.8450, IoU.palm: 0.5486, IoU.kitchen island: 0.5248, IoU.computer: 0.8364, IoU.swivel chair: 0.5297, IoU.boat: 0.7973, IoU.bar: 0.6284, IoU.arcade machine: 0.6500, IoU.hovel: 0.4476, IoU.bus: 0.9254, IoU.towel: 0.8181, IoU.light: 0.6665, IoU.truck: 0.5070, IoU.tower: 0.2063, IoU.chandelier: 0.7528, IoU.awning: 0.5473, IoU.streetlight: 0.4927, IoU.booth: 0.4849, IoU.television receiver: 0.7908, IoU.airplane: 0.7233, IoU.dirt track: 0.2024, IoU.apparel: 0.5899, IoU.pole: 0.4105, IoU.land: 0.0001, IoU.bannister: 0.2334, IoU.escalator: 0.6236, IoU.ottoman: 0.5577, IoU.bottle: 0.3332, IoU.buffet: 0.5566, IoU.poster: 0.3679, IoU.stage: 0.3125, IoU.van: 0.4341, IoU.ship: 0.5729, IoU.fountain: 0.3479, IoU.conveyer belt: 0.6362, IoU.canopy: 0.5339, IoU.washer: 0.9000, IoU.plaything: 0.5132, IoU.swimming pool: 0.5859, IoU.stool: 0.5869, IoU.barrel: 0.7777, IoU.basket: 0.4086, IoU.waterfall: 0.5598, IoU.tent: 0.9278, IoU.bag: 0.2778, IoU.minibike: 0.8012, IoU.cradle: 0.8711, IoU.oven: 0.6716, IoU.ball: 0.5714, IoU.food: 0.7466, IoU.step: 0.1986, IoU.tank: 0.5538, IoU.trade name: 0.2862, IoU.microwave: 0.9260, IoU.pot: 0.6288, IoU.animal: 0.7002, IoU.bicycle: 0.6370, IoU.lake: 0.6353, IoU.dishwasher: 0.7595, IoU.screen: 0.5937, IoU.blanket: 0.2826, IoU.sculpture: 0.6595, IoU.hood: 0.6280, IoU.sconce: 0.6477, IoU.vase: 0.5310, IoU.traffic light: 0.5261, IoU.tray: 0.3253, IoU.ashcan: 0.4795, IoU.fan: 0.7274, IoU.pier: 0.6475, IoU.crt screen: 0.0214, IoU.plate: 0.6718, IoU.monitor: 0.1151, IoU.bulletin board: 0.4811, IoU.shower: 0.0382, IoU.radiator: 0.7110, IoU.glass: 0.2690, IoU.clock: 0.5256, IoU.flag: 0.7396, Acc.wall: 0.8960, Acc.building: 0.9241, Acc.sky: 0.9763, Acc.floor: 0.9180, Acc.tree: 0.8975, Acc.ceiling: 0.9429, Acc.road: 0.9188, Acc.bed : 0.9760, Acc.windowpane: 0.8205, Acc.grass: 0.8341, Acc.cabinet: 0.7369, Acc.sidewalk: 0.8574, Acc.person: 0.9464, Acc.earth: 0.5555, Acc.door: 0.7566, Acc.table: 0.8240, Acc.mountain: 0.7580, Acc.plant: 0.6997, Acc.curtain: 0.9108, Acc.chair: 0.7918, Acc.car: 0.9446, Acc.water: 0.8061, Acc.painting: 0.9232, Acc.sofa: 0.9076, Acc.shelf: 0.6957, Acc.house: 0.7190, Acc.sea: 0.8431, Acc.mirror: 0.8682, Acc.rug: 0.8216, Acc.field: 0.5361, Acc.armchair: 0.8329, Acc.seat: 0.8854, Acc.fence: 0.7432, Acc.desk: 0.7765, Acc.rock: 0.7847, Acc.wardrobe: 0.7656, Acc.lamp: 0.8940, Acc.bathtub: 0.8677, Acc.railing: 0.6426, Acc.cushion: 0.8481, Acc.base: 0.6315, Acc.box: 0.5074, Acc.column: 0.7126, Acc.signboard: 0.6237, Acc.chest of drawers: 0.6718, Acc.counter: 0.5509, Acc.sand: 0.8957, Acc.sink: 0.9246, Acc.skyscraper: 0.5719, Acc.fireplace: 0.9183, Acc.refrigerator: 0.8869, Acc.grandstand: 0.8573, Acc.path: 0.3958, Acc.stairs: 0.4240, Acc.runway: 0.9742, Acc.case: 0.7948, Acc.pool table: 0.9800, Acc.pillow: 0.8026, Acc.screen door: 0.7319, Acc.stairway: 0.7277, Acc.river: 0.3400, Acc.bridge: 0.9060, Acc.bookcase: 0.6980, Acc.blind: 0.4710, Acc.coffee table: 0.8790, Acc.toilet: 0.9322, Acc.flower: 0.7038, Acc.book: 0.8012, Acc.hill: 0.1432, Acc.bench: 0.6660, Acc.countertop: 0.8435, Acc.stove: 0.8975, Acc.palm: 0.7800, Acc.kitchen island: 0.8393, Acc.computer: 0.9072, Acc.swivel chair: 0.7837, Acc.boat: 0.9125, Acc.bar: 0.7140, Acc.arcade machine: 0.7283, Acc.hovel: 0.4923, Acc.bus: 0.9653, Acc.towel: 0.9339, Acc.light: 0.7997, Acc.truck: 0.6666, Acc.tower: 0.3637, Acc.chandelier: 0.8597, Acc.awning: 0.7375, Acc.streetlight: 0.6872, Acc.booth: 0.9194, Acc.television receiver: 0.9461, Acc.airplane: 0.7668, Acc.dirt track: 0.5351, Acc.apparel: 0.8826, Acc.pole: 0.6272, Acc.land: 0.0002, Acc.bannister: 0.3198, Acc.escalator: 0.7856, Acc.ottoman: 0.7285, Acc.bottle: 0.4486, Acc.buffet: 0.7136, Acc.poster: 0.5682, Acc.stage: 0.4780, Acc.van: 0.6628, Acc.ship: 0.5986, Acc.fountain: 0.3579, Acc.conveyer belt: 0.9734, Acc.canopy: 0.8232, Acc.washer: 0.9533, Acc.plaything: 0.7767, Acc.swimming pool: 0.7522, Acc.stool: 0.7969, Acc.barrel: 0.9790, Acc.basket: 0.6372, Acc.waterfall: 0.6192, Acc.tent: 0.9761, Acc.bag: 0.3690, Acc.minibike: 0.9262, Acc.cradle: 0.9773, Acc.oven: 0.8182, Acc.ball: 0.6360, Acc.food: 0.8522, Acc.step: 0.2965, Acc.tank: 0.6945, Acc.trade name: 0.3457, Acc.microwave: 0.9732, Acc.pot: 0.7679, Acc.animal: 0.7161, Acc.bicycle: 0.8072, Acc.lake: 0.6363, Acc.dishwasher: 0.8553, Acc.screen: 0.9309, Acc.blanket: 0.3825, Acc.sculpture: 0.8971, Acc.hood: 0.7727, Acc.sconce: 0.7848, Acc.vase: 0.7683, Acc.traffic light: 0.7122, Acc.tray: 0.4365, Acc.ashcan: 0.7198, Acc.fan: 0.8507, Acc.pier: 0.7326, Acc.crt screen: 0.0631, Acc.plate: 0.8303, Acc.monitor: 0.1463, Acc.bulletin board: 0.6166, Acc.shower: 0.2822, Acc.radiator: 0.9000, Acc.glass: 0.2993, Acc.clock: 0.6763, Acc.flag: 0.8471