2022-04-28 20:16:57,799 - 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-11.3 NVCC: Build cuda_11.3.r11.3/compiler.29920130_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+ ------------------------------------------------------------ 2022-04-28 20:16:57,800 - mmseg - INFO - Distributed training: True 2022-04-28 20:16:58,652 - mmseg - INFO - Config: num_things_classes = 80 num_stuff_classes = 91 num_classes = 171 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=80, num_stuff_classes=91, 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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 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=(640, 640)), init_cfg=None) find_unused_parameters = True dataset_type = 'COCOStuffDataset' data_root = 'data/coco_stuff164k' 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'), 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='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/train2017', ann_dir='annotations/train2017', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations'), 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='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/val2017', ann_dir='annotations/val2017', 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='COCOStuffDataset', data_root='data/coco_stuff164k', img_dir='images/val2017', ann_dir='annotations/val2017', 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 = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=2e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=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_cocostuff164k_pt2ft_200query' gpu_ids = range(0, 16) auto_resume = False 2022-04-28 20:17:06,134 - mmseg - INFO - Set random seed to 566509243, deterministic: False 2022-04-28 20:17:46,410 - 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([171, 1024, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.conv_seg.bias - torch.Size([171]): 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([172, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.bias - torch.Size([172]): 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 2022-04-28 20:18:17,103 - 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, 171, 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=172, 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() ) ) 2022-04-28 20:18:19,352 - mmseg - INFO - Loaded 118287 images 2022-04-28 20:18:21,589 - mmseg - INFO - Loaded 5000 images 2022-04-28 20:18:21,589 - 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_cocostuff164k_pt2ft_200query 2022-04-28 20:18:21,589 - 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 -------------------- 2022-04-28 20:18:21,589 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters 2022-04-28 20:18:21,590 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query by HardDiskBackend. 2022-04-28 20:21:57,695 - mmseg - INFO - Iter [50/80000] lr: 4.688e-08, eta: 2 days, 1:25:43, time: 2.226, data_time: 0.024, memory: 64979, decode.loss_cls: 10.6438, decode.loss_mask: 2.5349, decode.loss_dice: 4.3741, decode.d0.loss_cls: 10.5818, decode.d0.loss_mask: 2.0063, decode.d0.loss_dice: 3.8849, decode.d1.loss_cls: 10.4488, decode.d1.loss_mask: 2.0308, decode.d1.loss_dice: 3.9661, decode.d2.loss_cls: 9.7537, decode.d2.loss_mask: 2.1105, decode.d2.loss_dice: 4.0938, decode.d3.loss_cls: 10.9143, decode.d3.loss_mask: 2.5444, decode.d3.loss_dice: 4.1565, decode.d4.loss_cls: 10.2829, decode.d4.loss_mask: 2.3743, decode.d4.loss_dice: 4.3187, decode.d5.loss_cls: 10.5330, decode.d5.loss_mask: 3.0349, decode.d5.loss_dice: 4.2241, decode.d6.loss_cls: 9.6271, decode.d6.loss_mask: 2.7011, decode.d6.loss_dice: 4.3345, decode.d7.loss_cls: 9.9888, decode.d7.loss_mask: 2.8455, decode.d7.loss_dice: 4.2970, decode.d8.loss_cls: 10.1584, decode.d8.loss_mask: 2.2794, decode.d8.loss_dice: 4.5544, loss: 169.5989 2022-04-28 20:23:29,940 - mmseg - INFO - Iter [100/80000] lr: 9.465e-08, eta: 1 day, 21:09:32, time: 1.844, data_time: 0.015, memory: 64979, decode.loss_cls: 5.3499, decode.loss_mask: 2.1321, decode.loss_dice: 4.4144, decode.d0.loss_cls: 10.5800, decode.d0.loss_mask: 1.7914, decode.d0.loss_dice: 3.8498, decode.d1.loss_cls: 7.9238, decode.d1.loss_mask: 1.8031, decode.d1.loss_dice: 3.9433, decode.d2.loss_cls: 5.7727, decode.d2.loss_mask: 1.8200, decode.d2.loss_dice: 4.0813, decode.d3.loss_cls: 5.8555, decode.d3.loss_mask: 1.9322, decode.d3.loss_dice: 4.1685, decode.d4.loss_cls: 5.0260, decode.d4.loss_mask: 1.9743, decode.d4.loss_dice: 4.2949, decode.d5.loss_cls: 4.8897, decode.d5.loss_mask: 2.1138, decode.d5.loss_dice: 4.2672, decode.d6.loss_cls: 4.6947, decode.d6.loss_mask: 2.0686, decode.d6.loss_dice: 4.3741, decode.d7.loss_cls: 4.8849, decode.d7.loss_mask: 2.1382, decode.d7.loss_dice: 4.3821, decode.d8.loss_cls: 5.0024, decode.d8.loss_mask: 2.0878, decode.d8.loss_dice: 4.4168, loss: 122.0336 2022-04-28 20:25:00,109 - mmseg - INFO - Iter [150/80000] lr: 1.424e-07, eta: 1 day, 19:25:44, time: 1.805, data_time: 0.018, memory: 64979, decode.loss_cls: 3.6261, decode.loss_mask: 2.0888, decode.loss_dice: 4.3818, decode.d0.loss_cls: 10.5678, decode.d0.loss_mask: 1.7512, decode.d0.loss_dice: 3.8323, decode.d1.loss_cls: 4.6525, decode.d1.loss_mask: 1.7660, decode.d1.loss_dice: 3.9153, decode.d2.loss_cls: 3.7289, decode.d2.loss_mask: 1.7856, decode.d2.loss_dice: 4.0112, decode.d3.loss_cls: 3.7007, decode.d3.loss_mask: 1.8558, decode.d3.loss_dice: 4.0985, decode.d4.loss_cls: 3.6638, decode.d4.loss_mask: 1.9147, decode.d4.loss_dice: 4.1958, decode.d5.loss_cls: 3.6169, decode.d5.loss_mask: 1.9807, decode.d5.loss_dice: 4.2673, decode.d6.loss_cls: 3.6159, decode.d6.loss_mask: 2.0183, decode.d6.loss_dice: 4.3214, decode.d7.loss_cls: 3.6173, decode.d7.loss_mask: 2.0446, decode.d7.loss_dice: 4.3505, decode.d8.loss_cls: 3.6261, decode.d8.loss_mask: 2.0714, decode.d8.loss_dice: 4.3692, loss: 105.4363 2022-04-28 20:26:29,433 - mmseg - INFO - Iter [200/80000] lr: 1.900e-07, eta: 1 day, 18:27:06, time: 1.787, data_time: 0.013, memory: 64979, decode.loss_cls: 3.5206, decode.loss_mask: 2.0798, decode.loss_dice: 4.3225, decode.d0.loss_cls: 10.5730, decode.d0.loss_mask: 1.7602, decode.d0.loss_dice: 3.7691, decode.d1.loss_cls: 3.6870, decode.d1.loss_mask: 1.7576, decode.d1.loss_dice: 3.8492, decode.d2.loss_cls: 3.6047, decode.d2.loss_mask: 1.7561, decode.d2.loss_dice: 3.9257, decode.d3.loss_cls: 3.5799, decode.d3.loss_mask: 1.7767, decode.d3.loss_dice: 4.0017, decode.d4.loss_cls: 3.5441, decode.d4.loss_mask: 1.8261, decode.d4.loss_dice: 4.0878, decode.d5.loss_cls: 3.5114, decode.d5.loss_mask: 1.8717, decode.d5.loss_dice: 4.1795, decode.d6.loss_cls: 3.5015, decode.d6.loss_mask: 1.9421, decode.d6.loss_dice: 4.2369, decode.d7.loss_cls: 3.5017, decode.d7.loss_mask: 1.9940, decode.d7.loss_dice: 4.2861, decode.d8.loss_cls: 3.5149, decode.d8.loss_mask: 2.0493, decode.d8.loss_dice: 4.3138, loss: 102.3248 2022-04-28 20:27:59,816 - mmseg - INFO - Iter [250/80000] lr: 2.376e-07, eta: 1 day, 17:56:54, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 3.4765, decode.loss_mask: 1.9537, decode.loss_dice: 4.2370, decode.d0.loss_cls: 10.5687, decode.d0.loss_mask: 1.7495, decode.d0.loss_dice: 3.7352, decode.d1.loss_cls: 3.6035, decode.d1.loss_mask: 1.7403, decode.d1.loss_dice: 3.7799, decode.d2.loss_cls: 3.5533, decode.d2.loss_mask: 1.7333, decode.d2.loss_dice: 3.8308, decode.d3.loss_cls: 3.5225, decode.d3.loss_mask: 1.7388, decode.d3.loss_dice: 3.8786, decode.d4.loss_cls: 3.4876, decode.d4.loss_mask: 1.7464, decode.d4.loss_dice: 3.9587, decode.d5.loss_cls: 3.4682, decode.d5.loss_mask: 1.7666, decode.d5.loss_dice: 4.0629, decode.d6.loss_cls: 3.4554, decode.d6.loss_mask: 1.7887, decode.d6.loss_dice: 4.1011, decode.d7.loss_cls: 3.4587, decode.d7.loss_mask: 1.8322, decode.d7.loss_dice: 4.1601, decode.d8.loss_cls: 3.4649, decode.d8.loss_mask: 1.9382, decode.d8.loss_dice: 4.2100, loss: 100.0012 2022-04-28 20:29:29,514 - mmseg - INFO - Iter [300/80000] lr: 2.851e-07, eta: 1 day, 17:32:24, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 3.4839, decode.loss_mask: 1.7479, decode.loss_dice: 4.1831, decode.d0.loss_cls: 10.5635, decode.d0.loss_mask: 1.6872, decode.d0.loss_dice: 3.7212, decode.d1.loss_cls: 3.6115, decode.d1.loss_mask: 1.6735, decode.d1.loss_dice: 3.7354, decode.d2.loss_cls: 3.5506, decode.d2.loss_mask: 1.6725, decode.d2.loss_dice: 3.7586, decode.d3.loss_cls: 3.5110, decode.d3.loss_mask: 1.6799, decode.d3.loss_dice: 3.7777, decode.d4.loss_cls: 3.4912, decode.d4.loss_mask: 1.6886, decode.d4.loss_dice: 3.8507, decode.d5.loss_cls: 3.4880, decode.d5.loss_mask: 1.6983, decode.d5.loss_dice: 3.9689, decode.d6.loss_cls: 3.4705, decode.d6.loss_mask: 1.6959, decode.d6.loss_dice: 4.0114, decode.d7.loss_cls: 3.4782, decode.d7.loss_mask: 1.7014, decode.d7.loss_dice: 4.0591, decode.d8.loss_cls: 3.4832, decode.d8.loss_mask: 1.7708, decode.d8.loss_dice: 4.0943, loss: 98.3081 2022-04-28 20:30:59,075 - mmseg - INFO - Iter [350/80000] lr: 3.326e-07, eta: 1 day, 17:15:14, time: 1.794, data_time: 0.018, memory: 64979, decode.loss_cls: 3.4152, decode.loss_mask: 1.7160, decode.loss_dice: 4.0801, decode.d0.loss_cls: 10.5647, decode.d0.loss_mask: 1.6771, decode.d0.loss_dice: 3.6630, decode.d1.loss_cls: 3.5559, decode.d1.loss_mask: 1.6745, decode.d1.loss_dice: 3.6569, decode.d2.loss_cls: 3.4673, decode.d2.loss_mask: 1.6745, decode.d2.loss_dice: 3.6544, decode.d3.loss_cls: 3.4269, decode.d3.loss_mask: 1.6763, decode.d3.loss_dice: 3.6724, decode.d4.loss_cls: 3.4130, decode.d4.loss_mask: 1.6894, decode.d4.loss_dice: 3.7155, decode.d5.loss_cls: 3.3988, decode.d5.loss_mask: 1.6854, decode.d5.loss_dice: 3.8094, decode.d6.loss_cls: 3.3890, decode.d6.loss_mask: 1.7040, decode.d6.loss_dice: 3.8638, decode.d7.loss_cls: 3.4171, decode.d7.loss_mask: 1.6960, decode.d7.loss_dice: 3.9246, decode.d8.loss_cls: 3.4231, decode.d8.loss_mask: 1.7535, decode.d8.loss_dice: 3.9910, loss: 96.4490 2022-04-28 20:32:28,319 - mmseg - INFO - Iter [400/80000] lr: 3.800e-07, eta: 1 day, 17:00:35, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 3.3264, decode.loss_mask: 1.7479, decode.loss_dice: 3.8980, decode.d0.loss_cls: 10.5693, decode.d0.loss_mask: 1.7112, decode.d0.loss_dice: 3.5805, decode.d1.loss_cls: 3.4680, decode.d1.loss_mask: 1.7065, decode.d1.loss_dice: 3.5582, decode.d2.loss_cls: 3.3793, decode.d2.loss_mask: 1.7096, decode.d2.loss_dice: 3.5463, decode.d3.loss_cls: 3.3338, decode.d3.loss_mask: 1.7203, decode.d3.loss_dice: 3.5569, decode.d4.loss_cls: 3.3288, decode.d4.loss_mask: 1.7309, decode.d4.loss_dice: 3.5900, decode.d5.loss_cls: 3.3223, decode.d5.loss_mask: 1.7279, decode.d5.loss_dice: 3.6320, decode.d6.loss_cls: 3.3143, decode.d6.loss_mask: 1.7390, decode.d6.loss_dice: 3.6703, decode.d7.loss_cls: 3.3292, decode.d7.loss_mask: 1.7373, decode.d7.loss_dice: 3.7221, decode.d8.loss_cls: 3.3352, decode.d8.loss_mask: 1.7567, decode.d8.loss_dice: 3.7866, loss: 94.5349 2022-04-28 20:33:57,904 - mmseg - INFO - Iter [450/80000] lr: 4.274e-07, eta: 1 day, 16:49:48, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 3.3113, decode.loss_mask: 1.7412, decode.loss_dice: 3.7714, decode.d0.loss_cls: 10.5652, decode.d0.loss_mask: 1.6942, decode.d0.loss_dice: 3.5444, decode.d1.loss_cls: 3.4436, decode.d1.loss_mask: 1.6962, decode.d1.loss_dice: 3.4969, decode.d2.loss_cls: 3.3579, decode.d2.loss_mask: 1.7027, decode.d2.loss_dice: 3.4842, decode.d3.loss_cls: 3.3114, decode.d3.loss_mask: 1.7140, decode.d3.loss_dice: 3.5124, decode.d4.loss_cls: 3.3029, decode.d4.loss_mask: 1.7337, decode.d4.loss_dice: 3.5396, decode.d5.loss_cls: 3.2764, decode.d5.loss_mask: 1.7317, decode.d5.loss_dice: 3.5734, decode.d6.loss_cls: 3.2764, decode.d6.loss_mask: 1.7379, decode.d6.loss_dice: 3.5999, decode.d7.loss_cls: 3.2945, decode.d7.loss_mask: 1.7408, decode.d7.loss_dice: 3.6397, decode.d8.loss_cls: 3.2971, decode.d8.loss_mask: 1.7449, decode.d8.loss_dice: 3.6722, loss: 93.5080 2022-04-28 20:35:27,064 - mmseg - INFO - Iter [500/80000] lr: 4.747e-07, eta: 1 day, 16:39:42, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 3.3051, decode.loss_mask: 1.7160, decode.loss_dice: 3.6463, decode.d0.loss_cls: 10.5630, decode.d0.loss_mask: 1.6711, decode.d0.loss_dice: 3.5122, decode.d1.loss_cls: 3.4413, decode.d1.loss_mask: 1.6614, decode.d1.loss_dice: 3.4414, decode.d2.loss_cls: 3.3434, decode.d2.loss_mask: 1.6757, decode.d2.loss_dice: 3.4196, decode.d3.loss_cls: 3.2921, decode.d3.loss_mask: 1.6888, decode.d3.loss_dice: 3.4368, decode.d4.loss_cls: 3.2856, decode.d4.loss_mask: 1.7046, decode.d4.loss_dice: 3.4659, decode.d5.loss_cls: 3.2705, decode.d5.loss_mask: 1.7014, decode.d5.loss_dice: 3.4899, decode.d6.loss_cls: 3.2645, decode.d6.loss_mask: 1.7153, decode.d6.loss_dice: 3.5207, decode.d7.loss_cls: 3.2783, decode.d7.loss_mask: 1.7174, decode.d7.loss_dice: 3.5494, decode.d8.loss_cls: 3.2955, decode.d8.loss_mask: 1.7214, decode.d8.loss_dice: 3.5810, loss: 92.3757 2022-04-28 20:36:57,532 - mmseg - INFO - Iter [550/80000] lr: 5.219e-07, eta: 1 day, 16:34:20, time: 1.809, data_time: 0.015, memory: 64979, decode.loss_cls: 3.2789, decode.loss_mask: 1.6898, decode.loss_dice: 3.5132, decode.d0.loss_cls: 10.5607, decode.d0.loss_mask: 1.6492, decode.d0.loss_dice: 3.4533, decode.d1.loss_cls: 3.4132, decode.d1.loss_mask: 1.6300, decode.d1.loss_dice: 3.3571, decode.d2.loss_cls: 3.2962, decode.d2.loss_mask: 1.6491, decode.d2.loss_dice: 3.3445, decode.d3.loss_cls: 3.2389, decode.d3.loss_mask: 1.6634, decode.d3.loss_dice: 3.3486, decode.d4.loss_cls: 3.2412, decode.d4.loss_mask: 1.6796, decode.d4.loss_dice: 3.3741, decode.d5.loss_cls: 3.2464, decode.d5.loss_mask: 1.6870, decode.d5.loss_dice: 3.3991, decode.d6.loss_cls: 3.2504, decode.d6.loss_mask: 1.6886, decode.d6.loss_dice: 3.4311, decode.d7.loss_cls: 3.2544, decode.d7.loss_mask: 1.6943, decode.d7.loss_dice: 3.4551, decode.d8.loss_cls: 3.2739, decode.d8.loss_mask: 1.6956, decode.d8.loss_dice: 3.4720, loss: 90.9286 2022-04-28 20:38:27,966 - mmseg - INFO - Iter [600/80000] lr: 5.691e-07, eta: 1 day, 16:29:31, time: 1.809, data_time: 0.015, memory: 64979, decode.loss_cls: 3.2956, decode.loss_mask: 1.6645, decode.loss_dice: 3.3801, decode.d0.loss_cls: 10.5579, decode.d0.loss_mask: 1.6157, decode.d0.loss_dice: 3.3995, decode.d1.loss_cls: 3.4370, decode.d1.loss_mask: 1.6013, decode.d1.loss_dice: 3.2689, decode.d2.loss_cls: 3.3162, decode.d2.loss_mask: 1.6046, decode.d2.loss_dice: 3.2287, decode.d3.loss_cls: 3.2669, decode.d3.loss_mask: 1.6190, decode.d3.loss_dice: 3.2292, decode.d4.loss_cls: 3.2541, decode.d4.loss_mask: 1.6364, decode.d4.loss_dice: 3.2485, decode.d5.loss_cls: 3.2628, decode.d5.loss_mask: 1.6468, decode.d5.loss_dice: 3.2800, decode.d6.loss_cls: 3.2799, decode.d6.loss_mask: 1.6475, decode.d6.loss_dice: 3.2989, decode.d7.loss_cls: 3.2747, decode.d7.loss_mask: 1.6600, decode.d7.loss_dice: 3.3215, decode.d8.loss_cls: 3.2850, decode.d8.loss_mask: 1.6700, decode.d8.loss_dice: 3.3509, loss: 89.6022 2022-04-28 20:39:57,445 - mmseg - INFO - Iter [650/80000] lr: 6.162e-07, eta: 1 day, 16:23:17, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 3.2582, decode.loss_mask: 1.6163, decode.loss_dice: 3.3156, decode.d0.loss_cls: 10.5622, decode.d0.loss_mask: 1.5786, decode.d0.loss_dice: 3.3695, decode.d1.loss_cls: 3.4080, decode.d1.loss_mask: 1.5457, decode.d1.loss_dice: 3.2139, decode.d2.loss_cls: 3.2951, decode.d2.loss_mask: 1.5544, decode.d2.loss_dice: 3.1543, decode.d3.loss_cls: 3.2413, decode.d3.loss_mask: 1.5694, decode.d3.loss_dice: 3.1548, decode.d4.loss_cls: 3.2403, decode.d4.loss_mask: 1.5752, decode.d4.loss_dice: 3.1678, decode.d5.loss_cls: 3.2398, decode.d5.loss_mask: 1.5905, decode.d5.loss_dice: 3.1985, decode.d6.loss_cls: 3.2372, decode.d6.loss_mask: 1.6062, decode.d6.loss_dice: 3.2175, decode.d7.loss_cls: 3.2336, decode.d7.loss_mask: 1.6090, decode.d7.loss_dice: 3.2465, decode.d8.loss_cls: 3.2522, decode.d8.loss_mask: 1.6211, decode.d8.loss_dice: 3.2779, loss: 88.1507 2022-04-28 20:41:28,295 - mmseg - INFO - Iter [700/80000] lr: 6.632e-07, eta: 1 day, 16:20:18, time: 1.817, data_time: 0.015, memory: 64979, decode.loss_cls: 3.1794, decode.loss_mask: 1.6406, decode.loss_dice: 3.1335, decode.d0.loss_cls: 10.5601, decode.d0.loss_mask: 1.5920, decode.d0.loss_dice: 3.2212, decode.d1.loss_cls: 3.3145, decode.d1.loss_mask: 1.5494, decode.d1.loss_dice: 3.0480, decode.d2.loss_cls: 3.2062, decode.d2.loss_mask: 1.5720, decode.d2.loss_dice: 2.9948, decode.d3.loss_cls: 3.1509, decode.d3.loss_mask: 1.5969, decode.d3.loss_dice: 2.9967, decode.d4.loss_cls: 3.1387, decode.d4.loss_mask: 1.6066, decode.d4.loss_dice: 3.0045, decode.d5.loss_cls: 3.1516, decode.d5.loss_mask: 1.6063, decode.d5.loss_dice: 3.0138, decode.d6.loss_cls: 3.1511, decode.d6.loss_mask: 1.6272, decode.d6.loss_dice: 3.0382, decode.d7.loss_cls: 3.1451, decode.d7.loss_mask: 1.6367, decode.d7.loss_dice: 3.0550, decode.d8.loss_cls: 3.1565, decode.d8.loss_mask: 1.6366, decode.d8.loss_dice: 3.0863, loss: 85.8105 2022-04-28 20:42:58,070 - mmseg - INFO - Iter [750/80000] lr: 7.102e-07, eta: 1 day, 16:15:38, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 3.2470, decode.loss_mask: 1.6049, decode.loss_dice: 3.1188, decode.d0.loss_cls: 10.5512, decode.d0.loss_mask: 1.5488, decode.d0.loss_dice: 3.2399, decode.d1.loss_cls: 3.3775, decode.d1.loss_mask: 1.5094, decode.d1.loss_dice: 3.0497, decode.d2.loss_cls: 3.2655, decode.d2.loss_mask: 1.5384, decode.d2.loss_dice: 2.9987, decode.d3.loss_cls: 3.2233, decode.d3.loss_mask: 1.5603, decode.d3.loss_dice: 3.0051, decode.d4.loss_cls: 3.2155, decode.d4.loss_mask: 1.5515, decode.d4.loss_dice: 3.0092, decode.d5.loss_cls: 3.2285, decode.d5.loss_mask: 1.5606, decode.d5.loss_dice: 3.0175, decode.d6.loss_cls: 3.2290, decode.d6.loss_mask: 1.5778, decode.d6.loss_dice: 3.0311, decode.d7.loss_cls: 3.2244, decode.d7.loss_mask: 1.5823, decode.d7.loss_dice: 3.0585, decode.d8.loss_cls: 3.2369, decode.d8.loss_mask: 1.6116, decode.d8.loss_dice: 3.1060, loss: 86.0790 2022-04-28 20:44:26,793 - mmseg - INFO - Iter [800/80000] lr: 7.572e-07, eta: 1 day, 16:09:33, time: 1.774, data_time: 0.016, memory: 64979, decode.loss_cls: 3.2914, decode.loss_mask: 1.6079, decode.loss_dice: 3.0309, decode.d0.loss_cls: 10.5532, decode.d0.loss_mask: 1.5642, decode.d0.loss_dice: 3.2095, decode.d1.loss_cls: 3.4221, decode.d1.loss_mask: 1.5368, decode.d1.loss_dice: 3.0034, decode.d2.loss_cls: 3.3243, decode.d2.loss_mask: 1.5512, decode.d2.loss_dice: 2.9464, decode.d3.loss_cls: 3.2907, decode.d3.loss_mask: 1.5616, decode.d3.loss_dice: 2.9396, decode.d4.loss_cls: 3.2803, decode.d4.loss_mask: 1.5739, decode.d4.loss_dice: 2.9437, decode.d5.loss_cls: 3.2813, decode.d5.loss_mask: 1.5719, decode.d5.loss_dice: 2.9551, decode.d6.loss_cls: 3.2808, decode.d6.loss_mask: 1.5838, decode.d6.loss_dice: 2.9636, decode.d7.loss_cls: 3.2678, decode.d7.loss_mask: 1.6097, decode.d7.loss_dice: 2.9895, decode.d8.loss_cls: 3.2775, decode.d8.loss_mask: 1.6034, decode.d8.loss_dice: 2.9857, loss: 86.0013 2022-04-28 20:45:55,776 - mmseg - INFO - Iter [850/80000] lr: 8.040e-07, eta: 1 day, 16:04:32, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 3.1777, decode.loss_mask: 1.5609, decode.loss_dice: 2.9175, decode.d0.loss_cls: 10.5520, decode.d0.loss_mask: 1.5198, decode.d0.loss_dice: 3.1241, decode.d1.loss_cls: 3.3140, decode.d1.loss_mask: 1.4825, decode.d1.loss_dice: 2.8957, decode.d2.loss_cls: 3.2073, decode.d2.loss_mask: 1.4996, decode.d2.loss_dice: 2.8286, decode.d3.loss_cls: 3.1751, decode.d3.loss_mask: 1.5135, decode.d3.loss_dice: 2.8095, decode.d4.loss_cls: 3.1506, decode.d4.loss_mask: 1.5232, decode.d4.loss_dice: 2.8180, decode.d5.loss_cls: 3.1659, decode.d5.loss_mask: 1.5273, decode.d5.loss_dice: 2.8240, decode.d6.loss_cls: 3.1432, decode.d6.loss_mask: 1.5543, decode.d6.loss_dice: 2.8474, decode.d7.loss_cls: 3.1437, decode.d7.loss_mask: 1.5473, decode.d7.loss_dice: 2.8522, decode.d8.loss_cls: 3.1595, decode.d8.loss_mask: 1.5548, decode.d8.loss_dice: 2.8810, loss: 83.2699 2022-04-28 20:47:24,897 - mmseg - INFO - Iter [900/80000] lr: 8.509e-07, eta: 1 day, 16:00:03, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 3.1678, decode.loss_mask: 1.5295, decode.loss_dice: 2.8703, decode.d0.loss_cls: 10.5495, decode.d0.loss_mask: 1.5052, decode.d0.loss_dice: 3.0958, decode.d1.loss_cls: 3.3221, decode.d1.loss_mask: 1.4752, decode.d1.loss_dice: 2.8677, decode.d2.loss_cls: 3.2148, decode.d2.loss_mask: 1.4864, decode.d2.loss_dice: 2.8010, decode.d3.loss_cls: 3.1715, decode.d3.loss_mask: 1.4998, decode.d3.loss_dice: 2.7675, decode.d4.loss_cls: 3.1590, decode.d4.loss_mask: 1.5091, decode.d4.loss_dice: 2.7601, decode.d5.loss_cls: 3.1372, decode.d5.loss_mask: 1.5159, decode.d5.loss_dice: 2.7899, decode.d6.loss_cls: 3.1385, decode.d6.loss_mask: 1.5241, decode.d6.loss_dice: 2.7903, decode.d7.loss_cls: 3.1326, decode.d7.loss_mask: 1.5335, decode.d7.loss_dice: 2.8070, decode.d8.loss_cls: 3.1413, decode.d8.loss_mask: 1.5412, decode.d8.loss_dice: 2.8382, loss: 82.6420 2022-04-28 20:48:54,014 - mmseg - INFO - Iter [950/80000] lr: 8.976e-07, eta: 1 day, 15:55:54, time: 1.782, data_time: 0.016, memory: 64979, decode.loss_cls: 3.1472, decode.loss_mask: 1.5371, decode.loss_dice: 2.8099, decode.d0.loss_cls: 10.5434, decode.d0.loss_mask: 1.5103, decode.d0.loss_dice: 3.0563, decode.d1.loss_cls: 3.3081, decode.d1.loss_mask: 1.4842, decode.d1.loss_dice: 2.8110, decode.d2.loss_cls: 3.1859, decode.d2.loss_mask: 1.4975, decode.d2.loss_dice: 2.7440, decode.d3.loss_cls: 3.1516, decode.d3.loss_mask: 1.5151, decode.d3.loss_dice: 2.7045, decode.d4.loss_cls: 3.1447, decode.d4.loss_mask: 1.5106, decode.d4.loss_dice: 2.7052, decode.d5.loss_cls: 3.1368, decode.d5.loss_mask: 1.5200, decode.d5.loss_dice: 2.7103, decode.d6.loss_cls: 3.1215, decode.d6.loss_mask: 1.5250, decode.d6.loss_dice: 2.7279, decode.d7.loss_cls: 3.1164, decode.d7.loss_mask: 1.5386, decode.d7.loss_dice: 2.7608, decode.d8.loss_cls: 3.1264, decode.d8.loss_mask: 1.5490, decode.d8.loss_dice: 2.7750, loss: 81.9744 2022-04-28 20:50:23,380 - mmseg - INFO - Saving checkpoint at 1000 iterations 2022-04-28 20:50:54,028 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 20:50:54,036 - mmseg - INFO - Iter [1000/80000] lr: 9.443e-07, eta: 1 day, 16:32:32, time: 2.398, data_time: 0.015, memory: 64979, decode.loss_cls: 3.1604, decode.loss_mask: 1.5381, decode.loss_dice: 2.7412, decode.d0.loss_cls: 10.5336, decode.d0.loss_mask: 1.4934, decode.d0.loss_dice: 3.0175, decode.d1.loss_cls: 3.2715, decode.d1.loss_mask: 1.4653, decode.d1.loss_dice: 2.7567, decode.d2.loss_cls: 3.1662, decode.d2.loss_mask: 1.4844, decode.d2.loss_dice: 2.6732, decode.d3.loss_cls: 3.1515, decode.d3.loss_mask: 1.4871, decode.d3.loss_dice: 2.6454, decode.d4.loss_cls: 3.1448, decode.d4.loss_mask: 1.4933, decode.d4.loss_dice: 2.6475, decode.d5.loss_cls: 3.1346, decode.d5.loss_mask: 1.4821, decode.d5.loss_dice: 2.6493, decode.d6.loss_cls: 3.1368, decode.d6.loss_mask: 1.4960, decode.d6.loss_dice: 2.6504, decode.d7.loss_cls: 3.1312, decode.d7.loss_mask: 1.5028, decode.d7.loss_dice: 2.6712, decode.d8.loss_cls: 3.1375, decode.d8.loss_mask: 1.5326, decode.d8.loss_dice: 2.6977, loss: 81.0934 2022-04-28 20:52:24,625 - mmseg - INFO - Iter [1050/80000] lr: 9.909e-07, eta: 1 day, 16:28:54, time: 1.814, data_time: 0.017, memory: 64979, decode.loss_cls: 3.0360, decode.loss_mask: 1.4859, decode.loss_dice: 2.6215, decode.d0.loss_cls: 10.5215, decode.d0.loss_mask: 1.4798, decode.d0.loss_dice: 2.9472, decode.d1.loss_cls: 3.1824, decode.d1.loss_mask: 1.4367, decode.d1.loss_dice: 2.6506, decode.d2.loss_cls: 3.0805, decode.d2.loss_mask: 1.4543, decode.d2.loss_dice: 2.5781, decode.d3.loss_cls: 3.0595, decode.d3.loss_mask: 1.4685, decode.d3.loss_dice: 2.5409, decode.d4.loss_cls: 3.0414, decode.d4.loss_mask: 1.4736, decode.d4.loss_dice: 2.5463, decode.d5.loss_cls: 3.0152, decode.d5.loss_mask: 1.4908, decode.d5.loss_dice: 2.5604, decode.d6.loss_cls: 3.0074, decode.d6.loss_mask: 1.4997, decode.d6.loss_dice: 2.5659, decode.d7.loss_cls: 3.0080, decode.d7.loss_mask: 1.4938, decode.d7.loss_dice: 2.5723, decode.d8.loss_cls: 3.0149, decode.d8.loss_mask: 1.4937, decode.d8.loss_dice: 2.5990, loss: 78.9261 2022-04-28 20:53:54,575 - mmseg - INFO - Iter [1100/80000] lr: 1.038e-06, eta: 1 day, 16:24:33, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 2.9742, decode.loss_mask: 1.5195, decode.loss_dice: 2.6008, decode.d0.loss_cls: 10.5261, decode.d0.loss_mask: 1.4837, decode.d0.loss_dice: 2.8987, decode.d1.loss_cls: 3.1327, decode.d1.loss_mask: 1.4434, decode.d1.loss_dice: 2.6123, decode.d2.loss_cls: 3.0177, decode.d2.loss_mask: 1.4779, decode.d2.loss_dice: 2.5320, decode.d3.loss_cls: 3.0011, decode.d3.loss_mask: 1.4826, decode.d3.loss_dice: 2.5003, decode.d4.loss_cls: 2.9734, decode.d4.loss_mask: 1.4986, decode.d4.loss_dice: 2.5130, decode.d5.loss_cls: 2.9546, decode.d5.loss_mask: 1.4957, decode.d5.loss_dice: 2.5081, decode.d6.loss_cls: 2.9515, decode.d6.loss_mask: 1.5076, decode.d6.loss_dice: 2.5139, decode.d7.loss_cls: 2.9429, decode.d7.loss_mask: 1.5172, decode.d7.loss_dice: 2.5414, decode.d8.loss_cls: 2.9502, decode.d8.loss_mask: 1.5235, decode.d8.loss_dice: 2.5696, loss: 78.1640 2022-04-28 20:55:24,155 - mmseg - INFO - Iter [1150/80000] lr: 1.084e-06, eta: 1 day, 16:20:03, time: 1.792, data_time: 0.017, memory: 64979, decode.loss_cls: 3.0199, decode.loss_mask: 1.4716, decode.loss_dice: 2.5704, decode.d0.loss_cls: 10.5063, decode.d0.loss_mask: 1.4362, decode.d0.loss_dice: 2.9166, decode.d1.loss_cls: 3.1836, decode.d1.loss_mask: 1.4212, decode.d1.loss_dice: 2.6365, decode.d2.loss_cls: 3.0621, decode.d2.loss_mask: 1.4391, decode.d2.loss_dice: 2.5413, decode.d3.loss_cls: 3.0270, decode.d3.loss_mask: 1.4557, decode.d3.loss_dice: 2.5309, decode.d4.loss_cls: 3.0055, decode.d4.loss_mask: 1.4430, decode.d4.loss_dice: 2.5230, decode.d5.loss_cls: 3.0071, decode.d5.loss_mask: 1.4409, decode.d5.loss_dice: 2.5219, decode.d6.loss_cls: 2.9882, decode.d6.loss_mask: 1.4532, decode.d6.loss_dice: 2.5239, decode.d7.loss_cls: 2.9883, decode.d7.loss_mask: 1.4549, decode.d7.loss_dice: 2.5326, decode.d8.loss_cls: 2.9919, decode.d8.loss_mask: 1.4710, decode.d8.loss_dice: 2.5454, loss: 78.1091 2022-04-28 20:56:52,798 - mmseg - INFO - Iter [1200/80000] lr: 1.130e-06, eta: 1 day, 16:14:45, time: 1.773, data_time: 0.016, memory: 64979, decode.loss_cls: 3.0332, decode.loss_mask: 1.4378, decode.loss_dice: 2.5522, decode.d0.loss_cls: 10.5041, decode.d0.loss_mask: 1.4101, decode.d0.loss_dice: 2.8915, decode.d1.loss_cls: 3.2001, decode.d1.loss_mask: 1.4028, decode.d1.loss_dice: 2.5784, decode.d2.loss_cls: 3.0729, decode.d2.loss_mask: 1.4146, decode.d2.loss_dice: 2.5137, decode.d3.loss_cls: 3.0514, decode.d3.loss_mask: 1.4142, decode.d3.loss_dice: 2.4795, decode.d4.loss_cls: 3.0315, decode.d4.loss_mask: 1.4070, decode.d4.loss_dice: 2.4798, decode.d5.loss_cls: 3.0109, decode.d5.loss_mask: 1.4170, decode.d5.loss_dice: 2.4839, decode.d6.loss_cls: 2.9999, decode.d6.loss_mask: 1.4251, decode.d6.loss_dice: 2.4803, decode.d7.loss_cls: 3.0044, decode.d7.loss_mask: 1.4161, decode.d7.loss_dice: 2.4946, decode.d8.loss_cls: 3.0129, decode.d8.loss_mask: 1.4290, decode.d8.loss_dice: 2.5077, loss: 77.5568 2022-04-28 20:58:22,035 - mmseg - INFO - Iter [1250/80000] lr: 1.177e-06, eta: 1 day, 16:10:23, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 2.9915, decode.loss_mask: 1.4201, decode.loss_dice: 2.5107, decode.d0.loss_cls: 10.4867, decode.d0.loss_mask: 1.4105, decode.d0.loss_dice: 2.8621, decode.d1.loss_cls: 3.1312, decode.d1.loss_mask: 1.3910, decode.d1.loss_dice: 2.5637, decode.d2.loss_cls: 3.0079, decode.d2.loss_mask: 1.4115, decode.d2.loss_dice: 2.4898, decode.d3.loss_cls: 2.9902, decode.d3.loss_mask: 1.4079, decode.d3.loss_dice: 2.4656, decode.d4.loss_cls: 2.9757, decode.d4.loss_mask: 1.4021, decode.d4.loss_dice: 2.4550, decode.d5.loss_cls: 2.9633, decode.d5.loss_mask: 1.4078, decode.d5.loss_dice: 2.4556, decode.d6.loss_cls: 2.9545, decode.d6.loss_mask: 1.4076, decode.d6.loss_dice: 2.4483, decode.d7.loss_cls: 2.9477, decode.d7.loss_mask: 1.4173, decode.d7.loss_dice: 2.4644, decode.d8.loss_cls: 2.9599, decode.d8.loss_mask: 1.4319, decode.d8.loss_dice: 2.4798, loss: 76.7113 2022-04-28 20:59:50,824 - mmseg - INFO - Iter [1300/80000] lr: 1.223e-06, eta: 1 day, 16:05:47, time: 1.776, data_time: 0.015, memory: 64979, decode.loss_cls: 2.9494, decode.loss_mask: 1.3844, decode.loss_dice: 2.4519, decode.d0.loss_cls: 10.4777, decode.d0.loss_mask: 1.3900, decode.d0.loss_dice: 2.8380, decode.d1.loss_cls: 3.1204, decode.d1.loss_mask: 1.3534, decode.d1.loss_dice: 2.5124, decode.d2.loss_cls: 3.0026, decode.d2.loss_mask: 1.3675, decode.d2.loss_dice: 2.4330, decode.d3.loss_cls: 2.9755, decode.d3.loss_mask: 1.3782, decode.d3.loss_dice: 2.4011, decode.d4.loss_cls: 2.9521, decode.d4.loss_mask: 1.3747, decode.d4.loss_dice: 2.4045, decode.d5.loss_cls: 2.9301, decode.d5.loss_mask: 1.3838, decode.d5.loss_dice: 2.4064, decode.d6.loss_cls: 2.9107, decode.d6.loss_mask: 1.3901, decode.d6.loss_dice: 2.4104, decode.d7.loss_cls: 2.9162, decode.d7.loss_mask: 1.3865, decode.d7.loss_dice: 2.4189, decode.d8.loss_cls: 2.9143, decode.d8.loss_mask: 1.3973, decode.d8.loss_dice: 2.4221, loss: 75.6537 2022-04-28 21:01:20,005 - mmseg - INFO - Iter [1350/80000] lr: 1.269e-06, eta: 1 day, 16:01:48, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 2.8566, decode.loss_mask: 1.4201, decode.loss_dice: 2.4319, decode.d0.loss_cls: 10.4710, decode.d0.loss_mask: 1.3865, decode.d0.loss_dice: 2.7916, decode.d1.loss_cls: 3.0301, decode.d1.loss_mask: 1.3871, decode.d1.loss_dice: 2.4858, decode.d2.loss_cls: 2.9098, decode.d2.loss_mask: 1.4064, decode.d2.loss_dice: 2.4116, decode.d3.loss_cls: 2.8621, decode.d3.loss_mask: 1.4064, decode.d3.loss_dice: 2.3887, decode.d4.loss_cls: 2.8559, decode.d4.loss_mask: 1.3998, decode.d4.loss_dice: 2.3699, decode.d5.loss_cls: 2.8264, decode.d5.loss_mask: 1.4141, decode.d5.loss_dice: 2.3766, decode.d6.loss_cls: 2.8218, decode.d6.loss_mask: 1.4091, decode.d6.loss_dice: 2.3703, decode.d7.loss_cls: 2.8270, decode.d7.loss_mask: 1.4071, decode.d7.loss_dice: 2.3757, decode.d8.loss_cls: 2.8252, decode.d8.loss_mask: 1.4313, decode.d8.loss_dice: 2.3970, loss: 74.7527 2022-04-28 21:02:48,456 - mmseg - INFO - Iter [1400/80000] lr: 1.316e-06, eta: 1 day, 15:57:20, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 2.8533, decode.loss_mask: 1.4376, decode.loss_dice: 2.3878, decode.d0.loss_cls: 10.4544, decode.d0.loss_mask: 1.4093, decode.d0.loss_dice: 2.7293, decode.d1.loss_cls: 3.0067, decode.d1.loss_mask: 1.3941, decode.d1.loss_dice: 2.4027, decode.d2.loss_cls: 2.8940, decode.d2.loss_mask: 1.4098, decode.d2.loss_dice: 2.3436, decode.d3.loss_cls: 2.8615, decode.d3.loss_mask: 1.4106, decode.d3.loss_dice: 2.3100, decode.d4.loss_cls: 2.8396, decode.d4.loss_mask: 1.4159, decode.d4.loss_dice: 2.3312, decode.d5.loss_cls: 2.8281, decode.d5.loss_mask: 1.4063, decode.d5.loss_dice: 2.3193, decode.d6.loss_cls: 2.8138, decode.d6.loss_mask: 1.4252, decode.d6.loss_dice: 2.3351, decode.d7.loss_cls: 2.8266, decode.d7.loss_mask: 1.4306, decode.d7.loss_dice: 2.3512, decode.d8.loss_cls: 2.8206, decode.d8.loss_mask: 1.4300, decode.d8.loss_dice: 2.3509, loss: 74.2291 2022-04-28 21:04:17,003 - mmseg - INFO - Iter [1450/80000] lr: 1.362e-06, eta: 1 day, 15:53:07, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 2.8766, decode.loss_mask: 1.3587, decode.loss_dice: 2.3940, decode.d0.loss_cls: 10.4503, decode.d0.loss_mask: 1.3365, decode.d0.loss_dice: 2.7723, decode.d1.loss_cls: 3.0742, decode.d1.loss_mask: 1.3426, decode.d1.loss_dice: 2.4668, decode.d2.loss_cls: 2.9514, decode.d2.loss_mask: 1.3424, decode.d2.loss_dice: 2.3732, decode.d3.loss_cls: 2.8999, decode.d3.loss_mask: 1.3538, decode.d3.loss_dice: 2.3515, decode.d4.loss_cls: 2.8801, decode.d4.loss_mask: 1.3476, decode.d4.loss_dice: 2.3547, decode.d5.loss_cls: 2.8565, decode.d5.loss_mask: 1.3544, decode.d5.loss_dice: 2.3509, decode.d6.loss_cls: 2.8537, decode.d6.loss_mask: 1.3535, decode.d6.loss_dice: 2.3487, decode.d7.loss_cls: 2.8472, decode.d7.loss_mask: 1.3604, decode.d7.loss_dice: 2.3494, decode.d8.loss_cls: 2.8485, decode.d8.loss_mask: 1.3596, decode.d8.loss_dice: 2.3625, loss: 74.1719 2022-04-28 21:05:46,127 - mmseg - INFO - Iter [1500/80000] lr: 1.408e-06, eta: 1 day, 15:49:37, time: 1.783, data_time: 0.013, memory: 64979, decode.loss_cls: 2.7663, decode.loss_mask: 1.3642, decode.loss_dice: 2.3219, decode.d0.loss_cls: 10.4299, decode.d0.loss_mask: 1.3655, decode.d0.loss_dice: 2.7146, decode.d1.loss_cls: 2.9523, decode.d1.loss_mask: 1.3585, decode.d1.loss_dice: 2.3802, decode.d2.loss_cls: 2.8364, decode.d2.loss_mask: 1.3544, decode.d2.loss_dice: 2.3089, decode.d3.loss_cls: 2.7839, decode.d3.loss_mask: 1.3608, decode.d3.loss_dice: 2.2973, decode.d4.loss_cls: 2.7662, decode.d4.loss_mask: 1.3589, decode.d4.loss_dice: 2.2832, decode.d5.loss_cls: 2.7457, decode.d5.loss_mask: 1.3571, decode.d5.loss_dice: 2.2819, decode.d6.loss_cls: 2.7323, decode.d6.loss_mask: 1.3723, decode.d6.loss_dice: 2.2970, decode.d7.loss_cls: 2.7329, decode.d7.loss_mask: 1.3623, decode.d7.loss_dice: 2.2983, decode.d8.loss_cls: 2.7272, decode.d8.loss_mask: 1.3692, decode.d8.loss_dice: 2.3007, loss: 72.5800 2022-04-28 21:07:14,865 - mmseg - INFO - Iter [1550/80000] lr: 1.408e-06, eta: 1 day, 15:45:55, time: 1.775, data_time: 0.016, memory: 64979, decode.loss_cls: 2.8280, decode.loss_mask: 1.3332, decode.loss_dice: 2.3206, decode.d0.loss_cls: 10.4215, decode.d0.loss_mask: 1.3249, decode.d0.loss_dice: 2.7099, decode.d1.loss_cls: 3.0205, decode.d1.loss_mask: 1.3248, decode.d1.loss_dice: 2.3897, decode.d2.loss_cls: 2.9065, decode.d2.loss_mask: 1.3273, decode.d2.loss_dice: 2.3135, decode.d3.loss_cls: 2.8558, decode.d3.loss_mask: 1.3311, decode.d3.loss_dice: 2.2815, decode.d4.loss_cls: 2.8310, decode.d4.loss_mask: 1.3327, decode.d4.loss_dice: 2.2896, decode.d5.loss_cls: 2.8212, decode.d5.loss_mask: 1.3268, decode.d5.loss_dice: 2.2820, decode.d6.loss_cls: 2.8090, decode.d6.loss_mask: 1.3229, decode.d6.loss_dice: 2.2688, decode.d7.loss_cls: 2.8052, decode.d7.loss_mask: 1.3292, decode.d7.loss_dice: 2.2783, decode.d8.loss_cls: 2.7958, decode.d8.loss_mask: 1.3404, decode.d8.loss_dice: 2.3037, loss: 72.8255 2022-04-28 21:08:44,306 - mmseg - INFO - Iter [1600/80000] lr: 1.407e-06, eta: 1 day, 15:42:53, time: 1.788, data_time: 0.014, memory: 64979, decode.loss_cls: 2.7635, decode.loss_mask: 1.3252, decode.loss_dice: 2.2598, decode.d0.loss_cls: 10.4069, decode.d0.loss_mask: 1.3234, decode.d0.loss_dice: 2.6759, decode.d1.loss_cls: 2.9568, decode.d1.loss_mask: 1.3188, decode.d1.loss_dice: 2.3461, decode.d2.loss_cls: 2.8296, decode.d2.loss_mask: 1.3327, decode.d2.loss_dice: 2.2861, decode.d3.loss_cls: 2.7788, decode.d3.loss_mask: 1.3227, decode.d3.loss_dice: 2.2562, decode.d4.loss_cls: 2.7721, decode.d4.loss_mask: 1.3217, decode.d4.loss_dice: 2.2340, decode.d5.loss_cls: 2.7517, decode.d5.loss_mask: 1.3359, decode.d5.loss_dice: 2.2393, decode.d6.loss_cls: 2.7439, decode.d6.loss_mask: 1.3303, decode.d6.loss_dice: 2.2276, decode.d7.loss_cls: 2.7465, decode.d7.loss_mask: 1.3279, decode.d7.loss_dice: 2.2340, decode.d8.loss_cls: 2.7448, decode.d8.loss_mask: 1.3293, decode.d8.loss_dice: 2.2401, loss: 71.7616 2022-04-28 21:10:13,203 - mmseg - INFO - Iter [1650/80000] lr: 1.406e-06, eta: 1 day, 15:39:36, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 2.7118, decode.loss_mask: 1.2840, decode.loss_dice: 2.2165, decode.d0.loss_cls: 10.3995, decode.d0.loss_mask: 1.2729, decode.d0.loss_dice: 2.6436, decode.d1.loss_cls: 2.9079, decode.d1.loss_mask: 1.2671, decode.d1.loss_dice: 2.3041, decode.d2.loss_cls: 2.7812, decode.d2.loss_mask: 1.2705, decode.d2.loss_dice: 2.2339, decode.d3.loss_cls: 2.7418, decode.d3.loss_mask: 1.2676, decode.d3.loss_dice: 2.2106, decode.d4.loss_cls: 2.7199, decode.d4.loss_mask: 1.2689, decode.d4.loss_dice: 2.2070, decode.d5.loss_cls: 2.6991, decode.d5.loss_mask: 1.2663, decode.d5.loss_dice: 2.1878, decode.d6.loss_cls: 2.6818, decode.d6.loss_mask: 1.2757, decode.d6.loss_dice: 2.1923, decode.d7.loss_cls: 2.6863, decode.d7.loss_mask: 1.2784, decode.d7.loss_dice: 2.2021, decode.d8.loss_cls: 2.6808, decode.d8.loss_mask: 1.2805, decode.d8.loss_dice: 2.2058, loss: 70.3457 2022-04-28 21:11:41,352 - mmseg - INFO - Iter [1700/80000] lr: 1.405e-06, eta: 1 day, 15:35:48, time: 1.763, data_time: 0.014, memory: 64979, decode.loss_cls: 2.6862, decode.loss_mask: 1.2689, decode.loss_dice: 2.2165, decode.d0.loss_cls: 10.3763, decode.d0.loss_mask: 1.2775, decode.d0.loss_dice: 2.6517, decode.d1.loss_cls: 2.8835, decode.d1.loss_mask: 1.2861, decode.d1.loss_dice: 2.3206, decode.d2.loss_cls: 2.7632, decode.d2.loss_mask: 1.2818, decode.d2.loss_dice: 2.2315, decode.d3.loss_cls: 2.6986, decode.d3.loss_mask: 1.2725, decode.d3.loss_dice: 2.2111, decode.d4.loss_cls: 2.6970, decode.d4.loss_mask: 1.2648, decode.d4.loss_dice: 2.2084, decode.d5.loss_cls: 2.6639, decode.d5.loss_mask: 1.2748, decode.d5.loss_dice: 2.2054, decode.d6.loss_cls: 2.6592, decode.d6.loss_mask: 1.2744, decode.d6.loss_dice: 2.1975, decode.d7.loss_cls: 2.6594, decode.d7.loss_mask: 1.2768, decode.d7.loss_dice: 2.2088, decode.d8.loss_cls: 2.6599, decode.d8.loss_mask: 1.2713, decode.d8.loss_dice: 2.2031, loss: 70.1507 2022-04-28 21:13:10,717 - mmseg - INFO - Iter [1750/80000] lr: 1.404e-06, eta: 1 day, 15:33:03, time: 1.787, data_time: 0.013, memory: 64979, decode.loss_cls: 2.6422, decode.loss_mask: 1.2806, decode.loss_dice: 2.2003, decode.d0.loss_cls: 10.3668, decode.d0.loss_mask: 1.2825, decode.d0.loss_dice: 2.6242, decode.d1.loss_cls: 2.8621, decode.d1.loss_mask: 1.2831, decode.d1.loss_dice: 2.2915, decode.d2.loss_cls: 2.7304, decode.d2.loss_mask: 1.2917, decode.d2.loss_dice: 2.2098, decode.d3.loss_cls: 2.6743, decode.d3.loss_mask: 1.2797, decode.d3.loss_dice: 2.1695, decode.d4.loss_cls: 2.6509, decode.d4.loss_mask: 1.2727, decode.d4.loss_dice: 2.1806, decode.d5.loss_cls: 2.6332, decode.d5.loss_mask: 1.2851, decode.d5.loss_dice: 2.1651, decode.d6.loss_cls: 2.6231, decode.d6.loss_mask: 1.2879, decode.d6.loss_dice: 2.1645, decode.d7.loss_cls: 2.6246, decode.d7.loss_mask: 1.2786, decode.d7.loss_dice: 2.1606, decode.d8.loss_cls: 2.6181, decode.d8.loss_mask: 1.2795, decode.d8.loss_dice: 2.1729, loss: 69.5861 2022-04-28 21:14:41,363 - mmseg - INFO - Iter [1800/80000] lr: 1.404e-06, eta: 1 day, 15:31:17, time: 1.813, data_time: 0.015, memory: 64979, decode.loss_cls: 2.6794, decode.loss_mask: 1.2865, decode.loss_dice: 2.1586, decode.d0.loss_cls: 10.3498, decode.d0.loss_mask: 1.2664, decode.d0.loss_dice: 2.5806, decode.d1.loss_cls: 2.8981, decode.d1.loss_mask: 1.2726, decode.d1.loss_dice: 2.2411, decode.d2.loss_cls: 2.7692, decode.d2.loss_mask: 1.2826, decode.d2.loss_dice: 2.1753, decode.d3.loss_cls: 2.7185, decode.d3.loss_mask: 1.2655, decode.d3.loss_dice: 2.1374, decode.d4.loss_cls: 2.6972, decode.d4.loss_mask: 1.2570, decode.d4.loss_dice: 2.1441, decode.d5.loss_cls: 2.6751, decode.d5.loss_mask: 1.2672, decode.d5.loss_dice: 2.1384, decode.d6.loss_cls: 2.6615, decode.d6.loss_mask: 1.2764, decode.d6.loss_dice: 2.1208, decode.d7.loss_cls: 2.6637, decode.d7.loss_mask: 1.2701, decode.d7.loss_dice: 2.1313, decode.d8.loss_cls: 2.6590, decode.d8.loss_mask: 1.2760, decode.d8.loss_dice: 2.1386, loss: 69.4580 2022-04-28 21:16:10,145 - mmseg - INFO - Iter [1850/80000] lr: 1.403e-06, eta: 1 day, 15:28:14, time: 1.776, data_time: 0.015, memory: 64979, decode.loss_cls: 2.6398, decode.loss_mask: 1.2836, decode.loss_dice: 2.1544, decode.d0.loss_cls: 10.3360, decode.d0.loss_mask: 1.2738, decode.d0.loss_dice: 2.5938, decode.d1.loss_cls: 2.8690, decode.d1.loss_mask: 1.2722, decode.d1.loss_dice: 2.2554, decode.d2.loss_cls: 2.7395, decode.d2.loss_mask: 1.2646, decode.d2.loss_dice: 2.1696, decode.d3.loss_cls: 2.6831, decode.d3.loss_mask: 1.2706, decode.d3.loss_dice: 2.1455, decode.d4.loss_cls: 2.6631, decode.d4.loss_mask: 1.2655, decode.d4.loss_dice: 2.1314, decode.d5.loss_cls: 2.6366, decode.d5.loss_mask: 1.2671, decode.d5.loss_dice: 2.1225, decode.d6.loss_cls: 2.6285, decode.d6.loss_mask: 1.2659, decode.d6.loss_dice: 2.1171, decode.d7.loss_cls: 2.6234, decode.d7.loss_mask: 1.2615, decode.d7.loss_dice: 2.1154, decode.d8.loss_cls: 2.6246, decode.d8.loss_mask: 1.2693, decode.d8.loss_dice: 2.1216, loss: 69.0645 2022-04-28 21:17:40,188 - mmseg - INFO - Iter [1900/80000] lr: 1.402e-06, eta: 1 day, 15:26:06, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 2.5832, decode.loss_mask: 1.2558, decode.loss_dice: 2.1568, decode.d0.loss_cls: 10.3129, decode.d0.loss_mask: 1.2626, decode.d0.loss_dice: 2.5724, decode.d1.loss_cls: 2.8065, decode.d1.loss_mask: 1.2788, decode.d1.loss_dice: 2.2458, decode.d2.loss_cls: 2.6598, decode.d2.loss_mask: 1.2705, decode.d2.loss_dice: 2.1799, decode.d3.loss_cls: 2.6153, decode.d3.loss_mask: 1.2580, decode.d3.loss_dice: 2.1444, decode.d4.loss_cls: 2.6101, decode.d4.loss_mask: 1.2567, decode.d4.loss_dice: 2.1460, decode.d5.loss_cls: 2.5868, decode.d5.loss_mask: 1.2537, decode.d5.loss_dice: 2.1247, decode.d6.loss_cls: 2.5758, decode.d6.loss_mask: 1.2506, decode.d6.loss_dice: 2.1245, decode.d7.loss_cls: 2.5687, decode.d7.loss_mask: 1.2546, decode.d7.loss_dice: 2.1276, decode.d8.loss_cls: 2.5569, decode.d8.loss_mask: 1.2675, decode.d8.loss_dice: 2.1434, loss: 68.4504 2022-04-28 21:19:10,827 - mmseg - INFO - Iter [1950/80000] lr: 1.401e-06, eta: 1 day, 15:24:26, time: 1.813, data_time: 0.016, memory: 64979, decode.loss_cls: 2.6405, decode.loss_mask: 1.2482, decode.loss_dice: 2.1114, decode.d0.loss_cls: 10.3010, decode.d0.loss_mask: 1.2467, decode.d0.loss_dice: 2.5387, decode.d1.loss_cls: 2.8643, decode.d1.loss_mask: 1.2529, decode.d1.loss_dice: 2.2057, decode.d2.loss_cls: 2.7151, decode.d2.loss_mask: 1.2570, decode.d2.loss_dice: 2.1422, decode.d3.loss_cls: 2.6627, decode.d3.loss_mask: 1.2598, decode.d3.loss_dice: 2.1067, decode.d4.loss_cls: 2.6537, decode.d4.loss_mask: 1.2403, decode.d4.loss_dice: 2.0986, decode.d5.loss_cls: 2.6241, decode.d5.loss_mask: 1.2445, decode.d5.loss_dice: 2.0989, decode.d6.loss_cls: 2.6198, decode.d6.loss_mask: 1.2488, decode.d6.loss_dice: 2.0971, decode.d7.loss_cls: 2.6187, decode.d7.loss_mask: 1.2453, decode.d7.loss_dice: 2.1058, decode.d8.loss_cls: 2.6148, decode.d8.loss_mask: 1.2503, decode.d8.loss_dice: 2.0872, loss: 68.4006 2022-04-28 21:20:40,626 - mmseg - INFO - Saving checkpoint at 2000 iterations 2022-04-28 21:21:00,279 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 21:21:00,290 - mmseg - INFO - Iter [2000/80000] lr: 1.400e-06, eta: 1 day, 15:34:49, time: 2.184, data_time: 0.015, memory: 64979, decode.loss_cls: 2.6061, decode.loss_mask: 1.2763, decode.loss_dice: 2.1440, decode.d0.loss_cls: 10.2857, decode.d0.loss_mask: 1.2622, decode.d0.loss_dice: 2.5602, decode.d1.loss_cls: 2.8346, decode.d1.loss_mask: 1.2853, decode.d1.loss_dice: 2.2338, decode.d2.loss_cls: 2.6883, decode.d2.loss_mask: 1.2873, decode.d2.loss_dice: 2.1705, decode.d3.loss_cls: 2.6386, decode.d3.loss_mask: 1.2846, decode.d3.loss_dice: 2.1305, decode.d4.loss_cls: 2.6171, decode.d4.loss_mask: 1.2669, decode.d4.loss_dice: 2.1383, decode.d5.loss_cls: 2.5970, decode.d5.loss_mask: 1.2777, decode.d5.loss_dice: 2.1238, decode.d6.loss_cls: 2.5866, decode.d6.loss_mask: 1.2718, decode.d6.loss_dice: 2.1144, decode.d7.loss_cls: 2.5815, decode.d7.loss_mask: 1.2738, decode.d7.loss_dice: 2.1188, decode.d8.loss_cls: 2.5816, decode.d8.loss_mask: 1.2788, decode.d8.loss_dice: 2.1190, loss: 68.6352 2022-04-28 21:22:30,465 - mmseg - INFO - Iter [2050/80000] lr: 1.399e-06, eta: 1 day, 15:32:44, time: 1.809, data_time: 0.021, memory: 64979, decode.loss_cls: 2.5479, decode.loss_mask: 1.2411, decode.loss_dice: 2.1135, decode.d0.loss_cls: 10.2763, decode.d0.loss_mask: 1.2341, decode.d0.loss_dice: 2.5404, decode.d1.loss_cls: 2.8171, decode.d1.loss_mask: 1.2390, decode.d1.loss_dice: 2.2061, decode.d2.loss_cls: 2.6555, decode.d2.loss_mask: 1.2347, decode.d2.loss_dice: 2.1323, decode.d3.loss_cls: 2.5910, decode.d3.loss_mask: 1.2376, decode.d3.loss_dice: 2.1021, decode.d4.loss_cls: 2.5731, decode.d4.loss_mask: 1.2314, decode.d4.loss_dice: 2.0963, decode.d5.loss_cls: 2.5533, decode.d5.loss_mask: 1.2364, decode.d5.loss_dice: 2.0891, decode.d6.loss_cls: 2.5426, decode.d6.loss_mask: 1.2364, decode.d6.loss_dice: 2.0837, decode.d7.loss_cls: 2.5339, decode.d7.loss_mask: 1.2403, decode.d7.loss_dice: 2.0890, decode.d8.loss_cls: 2.5321, decode.d8.loss_mask: 1.2366, decode.d8.loss_dice: 2.0841, loss: 67.5269 2022-04-28 21:24:00,312 - mmseg - INFO - Iter [2100/80000] lr: 1.398e-06, eta: 1 day, 15:30:17, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 2.5447, decode.loss_mask: 1.2367, decode.loss_dice: 2.0932, decode.d0.loss_cls: 10.2544, decode.d0.loss_mask: 1.2190, decode.d0.loss_dice: 2.5216, decode.d1.loss_cls: 2.7938, decode.d1.loss_mask: 1.2374, decode.d1.loss_dice: 2.1890, decode.d2.loss_cls: 2.6494, decode.d2.loss_mask: 1.2355, decode.d2.loss_dice: 2.1087, decode.d3.loss_cls: 2.5829, decode.d3.loss_mask: 1.2321, decode.d3.loss_dice: 2.0958, decode.d4.loss_cls: 2.5778, decode.d4.loss_mask: 1.2187, decode.d4.loss_dice: 2.0826, decode.d5.loss_cls: 2.5596, decode.d5.loss_mask: 1.2196, decode.d5.loss_dice: 2.0669, decode.d6.loss_cls: 2.5454, decode.d6.loss_mask: 1.2193, decode.d6.loss_dice: 2.0711, decode.d7.loss_cls: 2.5341, decode.d7.loss_mask: 1.2277, decode.d7.loss_dice: 2.0637, decode.d8.loss_cls: 2.5274, decode.d8.loss_mask: 1.2375, decode.d8.loss_dice: 2.0701, loss: 67.2153 2022-04-28 21:25:29,639 - mmseg - INFO - Iter [2150/80000] lr: 1.397e-06, eta: 1 day, 15:27:36, time: 1.787, data_time: 0.015, memory: 64979, decode.loss_cls: 2.4862, decode.loss_mask: 1.1947, decode.loss_dice: 2.0259, decode.d0.loss_cls: 10.2357, decode.d0.loss_mask: 1.1835, decode.d0.loss_dice: 2.4417, decode.d1.loss_cls: 2.7457, decode.d1.loss_mask: 1.1863, decode.d1.loss_dice: 2.1123, decode.d2.loss_cls: 2.5835, decode.d2.loss_mask: 1.1870, decode.d2.loss_dice: 2.0423, decode.d3.loss_cls: 2.5228, decode.d3.loss_mask: 1.1840, decode.d3.loss_dice: 2.0266, decode.d4.loss_cls: 2.5062, decode.d4.loss_mask: 1.1764, decode.d4.loss_dice: 2.0225, decode.d5.loss_cls: 2.4842, decode.d5.loss_mask: 1.1903, decode.d5.loss_dice: 2.0130, decode.d6.loss_cls: 2.4823, decode.d6.loss_mask: 1.1896, decode.d6.loss_dice: 1.9927, decode.d7.loss_cls: 2.4786, decode.d7.loss_mask: 1.1907, decode.d7.loss_dice: 2.0011, decode.d8.loss_cls: 2.4659, decode.d8.loss_mask: 1.1930, decode.d8.loss_dice: 2.0064, loss: 65.5510 2022-04-28 21:26:58,085 - mmseg - INFO - Iter [2200/80000] lr: 1.396e-06, eta: 1 day, 15:24:26, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 2.3846, decode.loss_mask: 1.1946, decode.loss_dice: 1.9646, decode.d0.loss_cls: 10.2111, decode.d0.loss_mask: 1.1961, decode.d0.loss_dice: 2.3994, decode.d1.loss_cls: 2.6049, decode.d1.loss_mask: 1.2199, decode.d1.loss_dice: 2.0668, decode.d2.loss_cls: 2.4521, decode.d2.loss_mask: 1.2134, decode.d2.loss_dice: 1.9984, decode.d3.loss_cls: 2.4144, decode.d3.loss_mask: 1.2027, decode.d3.loss_dice: 1.9703, decode.d4.loss_cls: 2.3874, decode.d4.loss_mask: 1.2005, decode.d4.loss_dice: 1.9643, decode.d5.loss_cls: 2.3687, decode.d5.loss_mask: 1.1961, decode.d5.loss_dice: 1.9616, decode.d6.loss_cls: 2.3668, decode.d6.loss_mask: 1.1894, decode.d6.loss_dice: 1.9381, decode.d7.loss_cls: 2.3640, decode.d7.loss_mask: 1.2013, decode.d7.loss_dice: 1.9512, decode.d8.loss_cls: 2.3561, decode.d8.loss_mask: 1.2003, decode.d8.loss_dice: 1.9479, loss: 64.0868 2022-04-28 21:28:27,839 - mmseg - INFO - Iter [2250/80000] lr: 1.395e-06, eta: 1 day, 15:22:04, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 2.4430, decode.loss_mask: 1.1881, decode.loss_dice: 1.9747, decode.d0.loss_cls: 10.2088, decode.d0.loss_mask: 1.1949, decode.d0.loss_dice: 2.4136, decode.d1.loss_cls: 2.7004, decode.d1.loss_mask: 1.2018, decode.d1.loss_dice: 2.0877, decode.d2.loss_cls: 2.5315, decode.d2.loss_mask: 1.2013, decode.d2.loss_dice: 2.0060, decode.d3.loss_cls: 2.4716, decode.d3.loss_mask: 1.1978, decode.d3.loss_dice: 1.9798, decode.d4.loss_cls: 2.4448, decode.d4.loss_mask: 1.1910, decode.d4.loss_dice: 1.9746, decode.d5.loss_cls: 2.4253, decode.d5.loss_mask: 1.1844, decode.d5.loss_dice: 1.9656, decode.d6.loss_cls: 2.4258, decode.d6.loss_mask: 1.1879, decode.d6.loss_dice: 1.9499, decode.d7.loss_cls: 2.4295, decode.d7.loss_mask: 1.1849, decode.d7.loss_dice: 1.9589, decode.d8.loss_cls: 2.4200, decode.d8.loss_mask: 1.1861, decode.d8.loss_dice: 1.9641, loss: 64.6936 2022-04-28 21:29:56,951 - mmseg - INFO - Iter [2300/80000] lr: 1.395e-06, eta: 1 day, 15:19:26, time: 1.783, data_time: 0.016, memory: 64979, decode.loss_cls: 2.3974, decode.loss_mask: 1.1619, decode.loss_dice: 1.9948, decode.d0.loss_cls: 10.1849, decode.d0.loss_mask: 1.1521, decode.d0.loss_dice: 2.4302, decode.d1.loss_cls: 2.6566, decode.d1.loss_mask: 1.1646, decode.d1.loss_dice: 2.1008, decode.d2.loss_cls: 2.4868, decode.d2.loss_mask: 1.1649, decode.d2.loss_dice: 2.0242, decode.d3.loss_cls: 2.4270, decode.d3.loss_mask: 1.1555, decode.d3.loss_dice: 2.0064, decode.d4.loss_cls: 2.4120, decode.d4.loss_mask: 1.1523, decode.d4.loss_dice: 1.9885, decode.d5.loss_cls: 2.3922, decode.d5.loss_mask: 1.1610, decode.d5.loss_dice: 1.9856, decode.d6.loss_cls: 2.3829, decode.d6.loss_mask: 1.1634, decode.d6.loss_dice: 1.9749, decode.d7.loss_cls: 2.3749, decode.d7.loss_mask: 1.1564, decode.d7.loss_dice: 1.9746, decode.d8.loss_cls: 2.3765, decode.d8.loss_mask: 1.1591, decode.d8.loss_dice: 1.9830, loss: 64.1454 2022-04-28 21:31:25,299 - mmseg - INFO - Iter [2350/80000] lr: 1.394e-06, eta: 1 day, 15:16:24, time: 1.767, data_time: 0.014, memory: 64979, decode.loss_cls: 2.4353, decode.loss_mask: 1.1828, decode.loss_dice: 1.9421, decode.d0.loss_cls: 10.1687, decode.d0.loss_mask: 1.1914, decode.d0.loss_dice: 2.3775, decode.d1.loss_cls: 2.6914, decode.d1.loss_mask: 1.1935, decode.d1.loss_dice: 2.0420, decode.d2.loss_cls: 2.5241, decode.d2.loss_mask: 1.1929, decode.d2.loss_dice: 1.9672, decode.d3.loss_cls: 2.4790, decode.d3.loss_mask: 1.1779, decode.d3.loss_dice: 1.9368, decode.d4.loss_cls: 2.4490, decode.d4.loss_mask: 1.1854, decode.d4.loss_dice: 1.9373, decode.d5.loss_cls: 2.4276, decode.d5.loss_mask: 1.1911, decode.d5.loss_dice: 1.9326, decode.d6.loss_cls: 2.4248, decode.d6.loss_mask: 1.1820, decode.d6.loss_dice: 1.9241, decode.d7.loss_cls: 2.4191, decode.d7.loss_mask: 1.1790, decode.d7.loss_dice: 1.9232, decode.d8.loss_cls: 2.4245, decode.d8.loss_mask: 1.1795, decode.d8.loss_dice: 1.9319, loss: 64.2136 2022-04-28 21:32:53,478 - mmseg - INFO - Iter [2400/80000] lr: 1.393e-06, eta: 1 day, 15:13:21, time: 1.764, data_time: 0.014, memory: 64979, decode.loss_cls: 2.4081, decode.loss_mask: 1.1735, decode.loss_dice: 1.9768, decode.d0.loss_cls: 10.1494, decode.d0.loss_mask: 1.1786, decode.d0.loss_dice: 2.4219, decode.d1.loss_cls: 2.6620, decode.d1.loss_mask: 1.1912, decode.d1.loss_dice: 2.0998, decode.d2.loss_cls: 2.4929, decode.d2.loss_mask: 1.1822, decode.d2.loss_dice: 2.0280, decode.d3.loss_cls: 2.4430, decode.d3.loss_mask: 1.1738, decode.d3.loss_dice: 1.9977, decode.d4.loss_cls: 2.4307, decode.d4.loss_mask: 1.1645, decode.d4.loss_dice: 1.9826, decode.d5.loss_cls: 2.4051, decode.d5.loss_mask: 1.1641, decode.d5.loss_dice: 1.9717, decode.d6.loss_cls: 2.4009, decode.d6.loss_mask: 1.1745, decode.d6.loss_dice: 1.9653, decode.d7.loss_cls: 2.3936, decode.d7.loss_mask: 1.1679, decode.d7.loss_dice: 1.9688, decode.d8.loss_cls: 2.3881, decode.d8.loss_mask: 1.1739, decode.d8.loss_dice: 1.9640, loss: 64.2948 2022-04-28 21:34:22,416 - mmseg - INFO - Iter [2450/80000] lr: 1.392e-06, eta: 1 day, 15:10:45, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 2.3245, decode.loss_mask: 1.1567, decode.loss_dice: 1.9374, decode.d0.loss_cls: 10.1306, decode.d0.loss_mask: 1.1648, decode.d0.loss_dice: 2.3707, decode.d1.loss_cls: 2.5983, decode.d1.loss_mask: 1.1832, decode.d1.loss_dice: 2.0592, decode.d2.loss_cls: 2.4292, decode.d2.loss_mask: 1.1621, decode.d2.loss_dice: 1.9857, decode.d3.loss_cls: 2.3618, decode.d3.loss_mask: 1.1649, decode.d3.loss_dice: 1.9473, decode.d4.loss_cls: 2.3384, decode.d4.loss_mask: 1.1576, decode.d4.loss_dice: 1.9428, decode.d5.loss_cls: 2.3226, decode.d5.loss_mask: 1.1584, decode.d5.loss_dice: 1.9354, decode.d6.loss_cls: 2.3070, decode.d6.loss_mask: 1.1635, decode.d6.loss_dice: 1.9248, decode.d7.loss_cls: 2.3118, decode.d7.loss_mask: 1.1599, decode.d7.loss_dice: 1.9255, decode.d8.loss_cls: 2.3014, decode.d8.loss_mask: 1.1606, decode.d8.loss_dice: 1.9267, loss: 63.0127 2022-04-28 21:35:51,003 - mmseg - INFO - Iter [2500/80000] lr: 1.391e-06, eta: 1 day, 15:08:01, time: 1.772, data_time: 0.016, memory: 64979, decode.loss_cls: 2.3657, decode.loss_mask: 1.1626, decode.loss_dice: 1.9161, decode.d0.loss_cls: 10.1124, decode.d0.loss_mask: 1.1752, decode.d0.loss_dice: 2.3614, decode.d1.loss_cls: 2.6186, decode.d1.loss_mask: 1.1779, decode.d1.loss_dice: 2.0271, decode.d2.loss_cls: 2.4534, decode.d2.loss_mask: 1.1796, decode.d2.loss_dice: 1.9539, decode.d3.loss_cls: 2.3930, decode.d3.loss_mask: 1.1802, decode.d3.loss_dice: 1.9270, decode.d4.loss_cls: 2.3689, decode.d4.loss_mask: 1.1705, decode.d4.loss_dice: 1.9256, decode.d5.loss_cls: 2.3522, decode.d5.loss_mask: 1.1754, decode.d5.loss_dice: 1.9172, decode.d6.loss_cls: 2.3527, decode.d6.loss_mask: 1.1778, decode.d6.loss_dice: 1.9025, decode.d7.loss_cls: 2.3508, decode.d7.loss_mask: 1.1770, decode.d7.loss_dice: 1.9103, decode.d8.loss_cls: 2.3442, decode.d8.loss_mask: 1.1733, decode.d8.loss_dice: 1.9155, loss: 63.2178 2022-04-28 21:37:19,738 - mmseg - INFO - Iter [2550/80000] lr: 1.390e-06, eta: 1 day, 15:05:25, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 2.3057, decode.loss_mask: 1.1677, decode.loss_dice: 1.9370, decode.d0.loss_cls: 10.0988, decode.d0.loss_mask: 1.1869, decode.d0.loss_dice: 2.3664, decode.d1.loss_cls: 2.5547, decode.d1.loss_mask: 1.1995, decode.d1.loss_dice: 2.0429, decode.d2.loss_cls: 2.3984, decode.d2.loss_mask: 1.1816, decode.d2.loss_dice: 1.9769, decode.d3.loss_cls: 2.3489, decode.d3.loss_mask: 1.1658, decode.d3.loss_dice: 1.9480, decode.d4.loss_cls: 2.3241, decode.d4.loss_mask: 1.1679, decode.d4.loss_dice: 1.9352, decode.d5.loss_cls: 2.3162, decode.d5.loss_mask: 1.1642, decode.d5.loss_dice: 1.9341, decode.d6.loss_cls: 2.2926, decode.d6.loss_mask: 1.1673, decode.d6.loss_dice: 1.9261, decode.d7.loss_cls: 2.2855, decode.d7.loss_mask: 1.1623, decode.d7.loss_dice: 1.9398, decode.d8.loss_cls: 2.2847, decode.d8.loss_mask: 1.1700, decode.d8.loss_dice: 1.9276, loss: 62.8770 2022-04-28 21:38:49,208 - mmseg - INFO - Iter [2600/80000] lr: 1.389e-06, eta: 1 day, 15:03:13, time: 1.789, data_time: 0.014, memory: 64979, decode.loss_cls: 2.2836, decode.loss_mask: 1.1544, decode.loss_dice: 1.9002, decode.d0.loss_cls: 10.0777, decode.d0.loss_mask: 1.1405, decode.d0.loss_dice: 2.3454, decode.d1.loss_cls: 2.5530, decode.d1.loss_mask: 1.1528, decode.d1.loss_dice: 2.0236, decode.d2.loss_cls: 2.3927, decode.d2.loss_mask: 1.1502, decode.d2.loss_dice: 1.9553, decode.d3.loss_cls: 2.3332, decode.d3.loss_mask: 1.1480, decode.d3.loss_dice: 1.9104, decode.d4.loss_cls: 2.3108, decode.d4.loss_mask: 1.1388, decode.d4.loss_dice: 1.9051, decode.d5.loss_cls: 2.2838, decode.d5.loss_mask: 1.1486, decode.d5.loss_dice: 1.8961, decode.d6.loss_cls: 2.2746, decode.d6.loss_mask: 1.1510, decode.d6.loss_dice: 1.8848, decode.d7.loss_cls: 2.2658, decode.d7.loss_mask: 1.1461, decode.d7.loss_dice: 1.8848, decode.d8.loss_cls: 2.2613, decode.d8.loss_mask: 1.1498, decode.d8.loss_dice: 1.8901, loss: 62.1124 2022-04-28 21:40:18,825 - mmseg - INFO - Iter [2650/80000] lr: 1.388e-06, eta: 1 day, 15:01:07, time: 1.792, data_time: 0.015, memory: 64979, decode.loss_cls: 2.2655, decode.loss_mask: 1.1047, decode.loss_dice: 1.8721, decode.d0.loss_cls: 10.0667, decode.d0.loss_mask: 1.1150, decode.d0.loss_dice: 2.3076, decode.d1.loss_cls: 2.5488, decode.d1.loss_mask: 1.1162, decode.d1.loss_dice: 1.9868, decode.d2.loss_cls: 2.3871, decode.d2.loss_mask: 1.1094, decode.d2.loss_dice: 1.9195, decode.d3.loss_cls: 2.3219, decode.d3.loss_mask: 1.1077, decode.d3.loss_dice: 1.8771, decode.d4.loss_cls: 2.2980, decode.d4.loss_mask: 1.1057, decode.d4.loss_dice: 1.8794, decode.d5.loss_cls: 2.2692, decode.d5.loss_mask: 1.1134, decode.d5.loss_dice: 1.8688, decode.d6.loss_cls: 2.2564, decode.d6.loss_mask: 1.1186, decode.d6.loss_dice: 1.8614, decode.d7.loss_cls: 2.2507, decode.d7.loss_mask: 1.1103, decode.d7.loss_dice: 1.8609, decode.d8.loss_cls: 2.2482, decode.d8.loss_mask: 1.1096, decode.d8.loss_dice: 1.8569, loss: 61.3136 2022-04-28 21:41:47,298 - mmseg - INFO - Iter [2700/80000] lr: 1.387e-06, eta: 1 day, 14:58:29, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 2.2527, decode.loss_mask: 1.1185, decode.loss_dice: 1.8940, decode.d0.loss_cls: 10.0402, decode.d0.loss_mask: 1.1203, decode.d0.loss_dice: 2.3357, decode.d1.loss_cls: 2.5335, decode.d1.loss_mask: 1.1376, decode.d1.loss_dice: 2.0182, decode.d2.loss_cls: 2.3633, decode.d2.loss_mask: 1.1363, decode.d2.loss_dice: 1.9403, decode.d3.loss_cls: 2.3027, decode.d3.loss_mask: 1.1326, decode.d3.loss_dice: 1.9090, decode.d4.loss_cls: 2.2855, decode.d4.loss_mask: 1.1218, decode.d4.loss_dice: 1.9053, decode.d5.loss_cls: 2.2622, decode.d5.loss_mask: 1.1094, decode.d5.loss_dice: 1.8963, decode.d6.loss_cls: 2.2578, decode.d6.loss_mask: 1.1065, decode.d6.loss_dice: 1.8827, decode.d7.loss_cls: 2.2415, decode.d7.loss_mask: 1.1082, decode.d7.loss_dice: 1.8939, decode.d8.loss_cls: 2.2346, decode.d8.loss_mask: 1.1207, decode.d8.loss_dice: 1.8857, loss: 61.5468 2022-04-28 21:43:16,375 - mmseg - INFO - Iter [2750/80000] lr: 1.386e-06, eta: 1 day, 14:56:11, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 2.2317, decode.loss_mask: 1.1187, decode.loss_dice: 1.8974, decode.d0.loss_cls: 10.0297, decode.d0.loss_mask: 1.1142, decode.d0.loss_dice: 2.3236, decode.d1.loss_cls: 2.5331, decode.d1.loss_mask: 1.1297, decode.d1.loss_dice: 1.9974, decode.d2.loss_cls: 2.3544, decode.d2.loss_mask: 1.1187, decode.d2.loss_dice: 1.9243, decode.d3.loss_cls: 2.2780, decode.d3.loss_mask: 1.1200, decode.d3.loss_dice: 1.8987, decode.d4.loss_cls: 2.2675, decode.d4.loss_mask: 1.1107, decode.d4.loss_dice: 1.8957, decode.d5.loss_cls: 2.2371, decode.d5.loss_mask: 1.1177, decode.d5.loss_dice: 1.8920, decode.d6.loss_cls: 2.2280, decode.d6.loss_mask: 1.1133, decode.d6.loss_dice: 1.8783, decode.d7.loss_cls: 2.2229, decode.d7.loss_mask: 1.1151, decode.d7.loss_dice: 1.8897, decode.d8.loss_cls: 2.2108, decode.d8.loss_mask: 1.1229, decode.d8.loss_dice: 1.8945, loss: 61.2658 2022-04-28 21:44:45,288 - mmseg - INFO - Iter [2800/80000] lr: 1.386e-06, eta: 1 day, 14:53:51, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 2.2210, decode.loss_mask: 1.0961, decode.loss_dice: 1.8484, decode.d0.loss_cls: 10.0104, decode.d0.loss_mask: 1.1025, decode.d0.loss_dice: 2.2848, decode.d1.loss_cls: 2.5135, decode.d1.loss_mask: 1.1081, decode.d1.loss_dice: 1.9554, decode.d2.loss_cls: 2.3331, decode.d2.loss_mask: 1.1082, decode.d2.loss_dice: 1.8817, decode.d3.loss_cls: 2.2630, decode.d3.loss_mask: 1.0942, decode.d3.loss_dice: 1.8514, decode.d4.loss_cls: 2.2467, decode.d4.loss_mask: 1.0958, decode.d4.loss_dice: 1.8515, decode.d5.loss_cls: 2.2301, decode.d5.loss_mask: 1.0858, decode.d5.loss_dice: 1.8398, decode.d6.loss_cls: 2.2194, decode.d6.loss_mask: 1.0986, decode.d6.loss_dice: 1.8320, decode.d7.loss_cls: 2.2102, decode.d7.loss_mask: 1.1019, decode.d7.loss_dice: 1.8402, decode.d8.loss_cls: 2.2110, decode.d8.loss_mask: 1.0933, decode.d8.loss_dice: 1.8373, loss: 60.4654 2022-04-28 21:46:14,487 - mmseg - INFO - Iter [2850/80000] lr: 1.385e-06, eta: 1 day, 14:51:40, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 2.1510, decode.loss_mask: 1.1080, decode.loss_dice: 1.8241, decode.d0.loss_cls: 9.9818, decode.d0.loss_mask: 1.1034, decode.d0.loss_dice: 2.2483, decode.d1.loss_cls: 2.4186, decode.d1.loss_mask: 1.1223, decode.d1.loss_dice: 1.9297, decode.d2.loss_cls: 2.2443, decode.d2.loss_mask: 1.1091, decode.d2.loss_dice: 1.8561, decode.d3.loss_cls: 2.1865, decode.d3.loss_mask: 1.1092, decode.d3.loss_dice: 1.8361, decode.d4.loss_cls: 2.1627, decode.d4.loss_mask: 1.1041, decode.d4.loss_dice: 1.8238, decode.d5.loss_cls: 2.1429, decode.d5.loss_mask: 1.1054, decode.d5.loss_dice: 1.8187, decode.d6.loss_cls: 2.1401, decode.d6.loss_mask: 1.0991, decode.d6.loss_dice: 1.8135, decode.d7.loss_cls: 2.1308, decode.d7.loss_mask: 1.1040, decode.d7.loss_dice: 1.8120, decode.d8.loss_cls: 2.1315, decode.d8.loss_mask: 1.1000, decode.d8.loss_dice: 1.8162, loss: 59.5333 2022-04-28 21:47:43,458 - mmseg - INFO - Iter [2900/80000] lr: 1.384e-06, eta: 1 day, 14:49:24, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 2.1950, decode.loss_mask: 1.0775, decode.loss_dice: 1.8105, decode.d0.loss_cls: 9.9622, decode.d0.loss_mask: 1.0827, decode.d0.loss_dice: 2.2427, decode.d1.loss_cls: 2.4697, decode.d1.loss_mask: 1.0897, decode.d1.loss_dice: 1.9170, decode.d2.loss_cls: 2.2890, decode.d2.loss_mask: 1.0839, decode.d2.loss_dice: 1.8477, decode.d3.loss_cls: 2.2298, decode.d3.loss_mask: 1.0772, decode.d3.loss_dice: 1.8244, decode.d4.loss_cls: 2.2092, decode.d4.loss_mask: 1.0705, decode.d4.loss_dice: 1.8118, decode.d5.loss_cls: 2.1868, decode.d5.loss_mask: 1.0632, decode.d5.loss_dice: 1.8083, decode.d6.loss_cls: 2.1750, decode.d6.loss_mask: 1.0728, decode.d6.loss_dice: 1.7870, decode.d7.loss_cls: 2.1726, decode.d7.loss_mask: 1.0762, decode.d7.loss_dice: 1.7999, decode.d8.loss_cls: 2.1612, decode.d8.loss_mask: 1.0805, decode.d8.loss_dice: 1.8037, loss: 59.4775 2022-04-28 21:49:12,398 - mmseg - INFO - Iter [2950/80000] lr: 1.383e-06, eta: 1 day, 14:47:09, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 2.2252, decode.loss_mask: 1.0815, decode.loss_dice: 1.8862, decode.d0.loss_cls: 9.9483, decode.d0.loss_mask: 1.0742, decode.d0.loss_dice: 2.3003, decode.d1.loss_cls: 2.5152, decode.d1.loss_mask: 1.0905, decode.d1.loss_dice: 1.9932, decode.d2.loss_cls: 2.3330, decode.d2.loss_mask: 1.0799, decode.d2.loss_dice: 1.9254, decode.d3.loss_cls: 2.2720, decode.d3.loss_mask: 1.0739, decode.d3.loss_dice: 1.9019, decode.d4.loss_cls: 2.2510, decode.d4.loss_mask: 1.0658, decode.d4.loss_dice: 1.8944, decode.d5.loss_cls: 2.2330, decode.d5.loss_mask: 1.0677, decode.d5.loss_dice: 1.8859, decode.d6.loss_cls: 2.2227, decode.d6.loss_mask: 1.0735, decode.d6.loss_dice: 1.8691, decode.d7.loss_cls: 2.2070, decode.d7.loss_mask: 1.0700, decode.d7.loss_dice: 1.8670, decode.d8.loss_cls: 2.2047, decode.d8.loss_mask: 1.0837, decode.d8.loss_dice: 1.8749, loss: 60.5712 2022-04-28 21:50:41,110 - mmseg - INFO - Saving checkpoint at 3000 iterations 2022-04-28 21:51:12,477 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 21:51:12,480 - mmseg - INFO - Iter [3000/80000] lr: 1.382e-06, eta: 1 day, 14:58:12, time: 2.400, data_time: 0.014, memory: 64979, decode.loss_cls: 2.0941, decode.loss_mask: 1.0958, decode.loss_dice: 1.7637, decode.d0.loss_cls: 9.9182, decode.d0.loss_mask: 1.0850, decode.d0.loss_dice: 2.1870, decode.d1.loss_cls: 2.4114, decode.d1.loss_mask: 1.0968, decode.d1.loss_dice: 1.8621, decode.d2.loss_cls: 2.2147, decode.d2.loss_mask: 1.0842, decode.d2.loss_dice: 1.7870, decode.d3.loss_cls: 2.1486, decode.d3.loss_mask: 1.0782, decode.d3.loss_dice: 1.7524, decode.d4.loss_cls: 2.1197, decode.d4.loss_mask: 1.0746, decode.d4.loss_dice: 1.7566, decode.d5.loss_cls: 2.0950, decode.d5.loss_mask: 1.0763, decode.d5.loss_dice: 1.7560, decode.d6.loss_cls: 2.0881, decode.d6.loss_mask: 1.0832, decode.d6.loss_dice: 1.7437, decode.d7.loss_cls: 2.0737, decode.d7.loss_mask: 1.0962, decode.d7.loss_dice: 1.7512, decode.d8.loss_cls: 2.0704, decode.d8.loss_mask: 1.0921, decode.d8.loss_dice: 1.7593, loss: 58.2153 2022-04-28 21:52:42,517 - mmseg - INFO - Iter [3050/80000] lr: 1.381e-06, eta: 1 day, 14:56:17, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 2.0271, decode.loss_mask: 1.0426, decode.loss_dice: 1.7362, decode.d0.loss_cls: 9.8985, decode.d0.loss_mask: 1.0363, decode.d0.loss_dice: 2.1459, decode.d1.loss_cls: 2.3165, decode.d1.loss_mask: 1.0384, decode.d1.loss_dice: 1.8270, decode.d2.loss_cls: 2.1386, decode.d2.loss_mask: 1.0351, decode.d2.loss_dice: 1.7665, decode.d3.loss_cls: 2.0681, decode.d3.loss_mask: 1.0405, decode.d3.loss_dice: 1.7402, decode.d4.loss_cls: 2.0515, decode.d4.loss_mask: 1.0355, decode.d4.loss_dice: 1.7362, decode.d5.loss_cls: 2.0212, decode.d5.loss_mask: 1.0322, decode.d5.loss_dice: 1.7286, decode.d6.loss_cls: 2.0155, decode.d6.loss_mask: 1.0289, decode.d6.loss_dice: 1.7242, decode.d7.loss_cls: 2.0062, decode.d7.loss_mask: 1.0327, decode.d7.loss_dice: 1.7193, decode.d8.loss_cls: 2.0064, decode.d8.loss_mask: 1.0339, decode.d8.loss_dice: 1.7338, loss: 56.7637 2022-04-28 21:54:10,903 - mmseg - INFO - Iter [3100/80000] lr: 1.380e-06, eta: 1 day, 14:53:39, time: 1.768, data_time: 0.014, memory: 64979, decode.loss_cls: 2.0943, decode.loss_mask: 1.1049, decode.loss_dice: 1.7958, decode.d0.loss_cls: 9.8838, decode.d0.loss_mask: 1.1051, decode.d0.loss_dice: 2.2067, decode.d1.loss_cls: 2.3856, decode.d1.loss_mask: 1.1128, decode.d1.loss_dice: 1.8707, decode.d2.loss_cls: 2.2028, decode.d2.loss_mask: 1.1076, decode.d2.loss_dice: 1.8155, decode.d3.loss_cls: 2.1408, decode.d3.loss_mask: 1.1021, decode.d3.loss_dice: 1.7881, decode.d4.loss_cls: 2.1177, decode.d4.loss_mask: 1.0965, decode.d4.loss_dice: 1.7778, decode.d5.loss_cls: 2.1008, decode.d5.loss_mask: 1.1005, decode.d5.loss_dice: 1.7783, decode.d6.loss_cls: 2.0933, decode.d6.loss_mask: 1.1068, decode.d6.loss_dice: 1.7693, decode.d7.loss_cls: 2.0783, decode.d7.loss_mask: 1.1089, decode.d7.loss_dice: 1.7814, decode.d8.loss_cls: 2.0773, decode.d8.loss_mask: 1.1095, decode.d8.loss_dice: 1.7922, loss: 58.6053 2022-04-28 21:55:40,179 - mmseg - INFO - Iter [3150/80000] lr: 1.379e-06, eta: 1 day, 14:51:24, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 2.1046, decode.loss_mask: 1.0507, decode.loss_dice: 1.7519, decode.d0.loss_cls: 9.8667, decode.d0.loss_mask: 1.0470, decode.d0.loss_dice: 2.1724, decode.d1.loss_cls: 2.4136, decode.d1.loss_mask: 1.0612, decode.d1.loss_dice: 1.8547, decode.d2.loss_cls: 2.2251, decode.d2.loss_mask: 1.0379, decode.d2.loss_dice: 1.7870, decode.d3.loss_cls: 2.1623, decode.d3.loss_mask: 1.0396, decode.d3.loss_dice: 1.7552, decode.d4.loss_cls: 2.1369, decode.d4.loss_mask: 1.0396, decode.d4.loss_dice: 1.7568, decode.d5.loss_cls: 2.1156, decode.d5.loss_mask: 1.0376, decode.d5.loss_dice: 1.7535, decode.d6.loss_cls: 2.1044, decode.d6.loss_mask: 1.0371, decode.d6.loss_dice: 1.7443, decode.d7.loss_cls: 2.0946, decode.d7.loss_mask: 1.0481, decode.d7.loss_dice: 1.7446, decode.d8.loss_cls: 2.0865, decode.d8.loss_mask: 1.0535, decode.d8.loss_dice: 1.7565, loss: 57.8394 2022-04-28 21:57:09,085 - mmseg - INFO - Iter [3200/80000] lr: 1.378e-06, eta: 1 day, 14:49:01, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 2.0392, decode.loss_mask: 1.0641, decode.loss_dice: 1.7358, decode.d0.loss_cls: 9.8429, decode.d0.loss_mask: 1.0727, decode.d0.loss_dice: 2.1596, decode.d1.loss_cls: 2.3393, decode.d1.loss_mask: 1.0747, decode.d1.loss_dice: 1.8214, decode.d2.loss_cls: 2.1545, decode.d2.loss_mask: 1.0684, decode.d2.loss_dice: 1.7643, decode.d3.loss_cls: 2.1015, decode.d3.loss_mask: 1.0691, decode.d3.loss_dice: 1.7396, decode.d4.loss_cls: 2.0687, decode.d4.loss_mask: 1.0688, decode.d4.loss_dice: 1.7419, decode.d5.loss_cls: 2.0464, decode.d5.loss_mask: 1.0616, decode.d5.loss_dice: 1.7323, decode.d6.loss_cls: 2.0376, decode.d6.loss_mask: 1.0624, decode.d6.loss_dice: 1.7234, decode.d7.loss_cls: 2.0296, decode.d7.loss_mask: 1.0608, decode.d7.loss_dice: 1.7269, decode.d8.loss_cls: 2.0235, decode.d8.loss_mask: 1.0649, decode.d8.loss_dice: 1.7302, loss: 57.2262 2022-04-28 21:58:38,334 - mmseg - INFO - Iter [3250/80000] lr: 1.377e-06, eta: 1 day, 14:46:51, time: 1.786, data_time: 0.017, memory: 64979, decode.loss_cls: 2.0655, decode.loss_mask: 1.0477, decode.loss_dice: 1.7366, decode.d0.loss_cls: 9.8311, decode.d0.loss_mask: 1.0435, decode.d0.loss_dice: 2.1474, decode.d1.loss_cls: 2.3858, decode.d1.loss_mask: 1.0574, decode.d1.loss_dice: 1.8317, decode.d2.loss_cls: 2.1925, decode.d2.loss_mask: 1.0566, decode.d2.loss_dice: 1.7670, decode.d3.loss_cls: 2.1167, decode.d3.loss_mask: 1.0566, decode.d3.loss_dice: 1.7467, decode.d4.loss_cls: 2.0912, decode.d4.loss_mask: 1.0514, decode.d4.loss_dice: 1.7478, decode.d5.loss_cls: 2.0699, decode.d5.loss_mask: 1.0561, decode.d5.loss_dice: 1.7385, decode.d6.loss_cls: 2.0671, decode.d6.loss_mask: 1.0437, decode.d6.loss_dice: 1.7193, decode.d7.loss_cls: 2.0485, decode.d7.loss_mask: 1.0433, decode.d7.loss_dice: 1.7305, decode.d8.loss_cls: 2.0397, decode.d8.loss_mask: 1.0499, decode.d8.loss_dice: 1.7311, loss: 57.3109 2022-04-28 22:00:08,479 - mmseg - INFO - Iter [3300/80000] lr: 1.377e-06, eta: 1 day, 14:45:01, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 2.0106, decode.loss_mask: 1.0518, decode.loss_dice: 1.7237, decode.d0.loss_cls: 9.8005, decode.d0.loss_mask: 1.0418, decode.d0.loss_dice: 2.1232, decode.d1.loss_cls: 2.2961, decode.d1.loss_mask: 1.0487, decode.d1.loss_dice: 1.8050, decode.d2.loss_cls: 2.1181, decode.d2.loss_mask: 1.0436, decode.d2.loss_dice: 1.7439, decode.d3.loss_cls: 2.0583, decode.d3.loss_mask: 1.0428, decode.d3.loss_dice: 1.7314, decode.d4.loss_cls: 2.0316, decode.d4.loss_mask: 1.0430, decode.d4.loss_dice: 1.7203, decode.d5.loss_cls: 2.0111, decode.d5.loss_mask: 1.0430, decode.d5.loss_dice: 1.7195, decode.d6.loss_cls: 2.0069, decode.d6.loss_mask: 1.0483, decode.d6.loss_dice: 1.7107, decode.d7.loss_cls: 1.9931, decode.d7.loss_mask: 1.0518, decode.d7.loss_dice: 1.7158, decode.d8.loss_cls: 1.9903, decode.d8.loss_mask: 1.0576, decode.d8.loss_dice: 1.7180, loss: 56.5004 2022-04-28 22:01:37,766 - mmseg - INFO - Iter [3350/80000] lr: 1.376e-06, eta: 1 day, 14:42:53, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 1.9964, decode.loss_mask: 1.0441, decode.loss_dice: 1.7116, decode.d0.loss_cls: 9.7725, decode.d0.loss_mask: 1.0311, decode.d0.loss_dice: 2.1238, decode.d1.loss_cls: 2.2931, decode.d1.loss_mask: 1.0432, decode.d1.loss_dice: 1.8036, decode.d2.loss_cls: 2.1141, decode.d2.loss_mask: 1.0349, decode.d2.loss_dice: 1.7461, decode.d3.loss_cls: 2.0562, decode.d3.loss_mask: 1.0421, decode.d3.loss_dice: 1.7216, decode.d4.loss_cls: 2.0341, decode.d4.loss_mask: 1.0432, decode.d4.loss_dice: 1.7210, decode.d5.loss_cls: 2.0156, decode.d5.loss_mask: 1.0359, decode.d5.loss_dice: 1.7122, decode.d6.loss_cls: 1.9980, decode.d6.loss_mask: 1.0443, decode.d6.loss_dice: 1.7137, decode.d7.loss_cls: 1.9789, decode.d7.loss_mask: 1.0462, decode.d7.loss_dice: 1.7110, decode.d8.loss_cls: 1.9771, decode.d8.loss_mask: 1.0433, decode.d8.loss_dice: 1.7128, loss: 56.3215 2022-04-28 22:03:06,287 - mmseg - INFO - Iter [3400/80000] lr: 1.375e-06, eta: 1 day, 14:40:28, time: 1.770, data_time: 0.017, memory: 64979, decode.loss_cls: 1.9692, decode.loss_mask: 1.0346, decode.loss_dice: 1.6755, decode.d0.loss_cls: 9.7532, decode.d0.loss_mask: 1.0371, decode.d0.loss_dice: 2.0806, decode.d1.loss_cls: 2.2760, decode.d1.loss_mask: 1.0406, decode.d1.loss_dice: 1.7540, decode.d2.loss_cls: 2.0866, decode.d2.loss_mask: 1.0365, decode.d2.loss_dice: 1.6954, decode.d3.loss_cls: 2.0268, decode.d3.loss_mask: 1.0345, decode.d3.loss_dice: 1.6738, decode.d4.loss_cls: 1.9939, decode.d4.loss_mask: 1.0310, decode.d4.loss_dice: 1.6753, decode.d5.loss_cls: 1.9702, decode.d5.loss_mask: 1.0346, decode.d5.loss_dice: 1.6828, decode.d6.loss_cls: 1.9674, decode.d6.loss_mask: 1.0359, decode.d6.loss_dice: 1.6659, decode.d7.loss_cls: 1.9615, decode.d7.loss_mask: 1.0382, decode.d7.loss_dice: 1.6725, decode.d8.loss_cls: 1.9581, decode.d8.loss_mask: 1.0370, decode.d8.loss_dice: 1.6747, loss: 55.5734 2022-04-28 22:04:35,683 - mmseg - INFO - Iter [3450/80000] lr: 1.374e-06, eta: 1 day, 14:38:24, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 1.9633, decode.loss_mask: 1.0378, decode.loss_dice: 1.7031, decode.d0.loss_cls: 9.7371, decode.d0.loss_mask: 1.0245, decode.d0.loss_dice: 2.0912, decode.d1.loss_cls: 2.2564, decode.d1.loss_mask: 1.0454, decode.d1.loss_dice: 1.7862, decode.d2.loss_cls: 2.0805, decode.d2.loss_mask: 1.0438, decode.d2.loss_dice: 1.7280, decode.d3.loss_cls: 2.0281, decode.d3.loss_mask: 1.0375, decode.d3.loss_dice: 1.7082, decode.d4.loss_cls: 1.9964, decode.d4.loss_mask: 1.0317, decode.d4.loss_dice: 1.7082, decode.d5.loss_cls: 1.9661, decode.d5.loss_mask: 1.0335, decode.d5.loss_dice: 1.7002, decode.d6.loss_cls: 1.9560, decode.d6.loss_mask: 1.0364, decode.d6.loss_dice: 1.6830, decode.d7.loss_cls: 1.9460, decode.d7.loss_mask: 1.0396, decode.d7.loss_dice: 1.6951, decode.d8.loss_cls: 1.9395, decode.d8.loss_mask: 1.0370, decode.d8.loss_dice: 1.6952, loss: 55.7350 2022-04-28 22:06:04,722 - mmseg - INFO - Iter [3500/80000] lr: 1.373e-06, eta: 1 day, 14:36:13, time: 1.781, data_time: 0.016, memory: 64979, decode.loss_cls: 1.9579, decode.loss_mask: 1.0102, decode.loss_dice: 1.7130, decode.d0.loss_cls: 9.7179, decode.d0.loss_mask: 0.9844, decode.d0.loss_dice: 2.1030, decode.d1.loss_cls: 2.2680, decode.d1.loss_mask: 1.0156, decode.d1.loss_dice: 1.8011, decode.d2.loss_cls: 2.0844, decode.d2.loss_mask: 0.9991, decode.d2.loss_dice: 1.7368, decode.d3.loss_cls: 2.0226, decode.d3.loss_mask: 0.9967, decode.d3.loss_dice: 1.7156, decode.d4.loss_cls: 1.9887, decode.d4.loss_mask: 0.9903, decode.d4.loss_dice: 1.7113, decode.d5.loss_cls: 1.9664, decode.d5.loss_mask: 0.9911, decode.d5.loss_dice: 1.7095, decode.d6.loss_cls: 1.9516, decode.d6.loss_mask: 0.9958, decode.d6.loss_dice: 1.6981, decode.d7.loss_cls: 1.9465, decode.d7.loss_mask: 0.9930, decode.d7.loss_dice: 1.7056, decode.d8.loss_cls: 1.9400, decode.d8.loss_mask: 1.0035, decode.d8.loss_dice: 1.7100, loss: 55.4276 2022-04-28 22:07:32,896 - mmseg - INFO - Iter [3550/80000] lr: 1.372e-06, eta: 1 day, 14:33:44, time: 1.762, data_time: 0.016, memory: 64979, decode.loss_cls: 1.9385, decode.loss_mask: 1.0406, decode.loss_dice: 1.7072, decode.d0.loss_cls: 9.6966, decode.d0.loss_mask: 1.0302, decode.d0.loss_dice: 2.0920, decode.d1.loss_cls: 2.2572, decode.d1.loss_mask: 1.0548, decode.d1.loss_dice: 1.7920, decode.d2.loss_cls: 2.0661, decode.d2.loss_mask: 1.0439, decode.d2.loss_dice: 1.7307, decode.d3.loss_cls: 2.0007, decode.d3.loss_mask: 1.0439, decode.d3.loss_dice: 1.7111, decode.d4.loss_cls: 1.9739, decode.d4.loss_mask: 1.0411, decode.d4.loss_dice: 1.7112, decode.d5.loss_cls: 1.9493, decode.d5.loss_mask: 1.0407, decode.d5.loss_dice: 1.7025, decode.d6.loss_cls: 1.9274, decode.d6.loss_mask: 1.0474, decode.d6.loss_dice: 1.7011, decode.d7.loss_cls: 1.9253, decode.d7.loss_mask: 1.0390, decode.d7.loss_dice: 1.6979, decode.d8.loss_cls: 1.9224, decode.d8.loss_mask: 1.0477, decode.d8.loss_dice: 1.7035, loss: 55.6364 2022-04-28 22:09:00,662 - mmseg - INFO - Iter [3600/80000] lr: 1.371e-06, eta: 1 day, 14:31:10, time: 1.756, data_time: 0.017, memory: 64979, decode.loss_cls: 1.8901, decode.loss_mask: 1.0216, decode.loss_dice: 1.7067, decode.d0.loss_cls: 9.6659, decode.d0.loss_mask: 1.0116, decode.d0.loss_dice: 2.0786, decode.d1.loss_cls: 2.2105, decode.d1.loss_mask: 1.0309, decode.d1.loss_dice: 1.7718, decode.d2.loss_cls: 2.0146, decode.d2.loss_mask: 1.0298, decode.d2.loss_dice: 1.7228, decode.d3.loss_cls: 1.9548, decode.d3.loss_mask: 1.0264, decode.d3.loss_dice: 1.6982, decode.d4.loss_cls: 1.9199, decode.d4.loss_mask: 1.0219, decode.d4.loss_dice: 1.7024, decode.d5.loss_cls: 1.8904, decode.d5.loss_mask: 1.0256, decode.d5.loss_dice: 1.7026, decode.d6.loss_cls: 1.8768, decode.d6.loss_mask: 1.0243, decode.d6.loss_dice: 1.6980, decode.d7.loss_cls: 1.8718, decode.d7.loss_mask: 1.0220, decode.d7.loss_dice: 1.6976, decode.d8.loss_cls: 1.8705, decode.d8.loss_mask: 1.0227, decode.d8.loss_dice: 1.7008, loss: 54.8817 2022-04-28 22:10:28,998 - mmseg - INFO - Iter [3650/80000] lr: 1.370e-06, eta: 1 day, 14:28:49, time: 1.767, data_time: 0.016, memory: 64979, decode.loss_cls: 1.9088, decode.loss_mask: 0.9941, decode.loss_dice: 1.6958, decode.d0.loss_cls: 9.6546, decode.d0.loss_mask: 0.9908, decode.d0.loss_dice: 2.0835, decode.d1.loss_cls: 2.2254, decode.d1.loss_mask: 0.9972, decode.d1.loss_dice: 1.7778, decode.d2.loss_cls: 2.0169, decode.d2.loss_mask: 1.0035, decode.d2.loss_dice: 1.7323, decode.d3.loss_cls: 1.9547, decode.d3.loss_mask: 1.0040, decode.d3.loss_dice: 1.7153, decode.d4.loss_cls: 1.9240, decode.d4.loss_mask: 0.9972, decode.d4.loss_dice: 1.7088, decode.d5.loss_cls: 1.8971, decode.d5.loss_mask: 0.9977, decode.d5.loss_dice: 1.7031, decode.d6.loss_cls: 1.8889, decode.d6.loss_mask: 0.9989, decode.d6.loss_dice: 1.6871, decode.d7.loss_cls: 1.8854, decode.d7.loss_mask: 0.9999, decode.d7.loss_dice: 1.6957, decode.d8.loss_cls: 1.8903, decode.d8.loss_mask: 0.9967, decode.d8.loss_dice: 1.6849, loss: 54.7105 2022-04-28 22:11:57,024 - mmseg - INFO - Iter [3700/80000] lr: 1.369e-06, eta: 1 day, 14:26:23, time: 1.761, data_time: 0.016, memory: 64979, decode.loss_cls: 1.8895, decode.loss_mask: 1.0012, decode.loss_dice: 1.6931, decode.d0.loss_cls: 9.6348, decode.d0.loss_mask: 0.9825, decode.d0.loss_dice: 2.0644, decode.d1.loss_cls: 2.2289, decode.d1.loss_mask: 1.0056, decode.d1.loss_dice: 1.7592, decode.d2.loss_cls: 2.0364, decode.d2.loss_mask: 0.9981, decode.d2.loss_dice: 1.7052, decode.d3.loss_cls: 1.9712, decode.d3.loss_mask: 0.9951, decode.d3.loss_dice: 1.6901, decode.d4.loss_cls: 1.9367, decode.d4.loss_mask: 0.9935, decode.d4.loss_dice: 1.6933, decode.d5.loss_cls: 1.9162, decode.d5.loss_mask: 1.0010, decode.d5.loss_dice: 1.6900, decode.d6.loss_cls: 1.8944, decode.d6.loss_mask: 0.9985, decode.d6.loss_dice: 1.6826, decode.d7.loss_cls: 1.8818, decode.d7.loss_mask: 0.9936, decode.d7.loss_dice: 1.6843, decode.d8.loss_cls: 1.8789, decode.d8.loss_mask: 0.9982, decode.d8.loss_dice: 1.6860, loss: 54.5844 2022-04-28 22:13:25,620 - mmseg - INFO - Iter [3750/80000] lr: 1.369e-06, eta: 1 day, 14:24:09, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 1.9178, decode.loss_mask: 1.0016, decode.loss_dice: 1.6593, decode.d0.loss_cls: 9.6124, decode.d0.loss_mask: 0.9960, decode.d0.loss_dice: 2.0622, decode.d1.loss_cls: 2.2434, decode.d1.loss_mask: 0.9954, decode.d1.loss_dice: 1.7454, decode.d2.loss_cls: 2.0453, decode.d2.loss_mask: 0.9911, decode.d2.loss_dice: 1.6888, decode.d3.loss_cls: 1.9770, decode.d3.loss_mask: 0.9939, decode.d3.loss_dice: 1.6627, decode.d4.loss_cls: 1.9509, decode.d4.loss_mask: 0.9910, decode.d4.loss_dice: 1.6620, decode.d5.loss_cls: 1.9293, decode.d5.loss_mask: 0.9952, decode.d5.loss_dice: 1.6558, decode.d6.loss_cls: 1.9165, decode.d6.loss_mask: 0.9976, decode.d6.loss_dice: 1.6395, decode.d7.loss_cls: 1.9026, decode.d7.loss_mask: 0.9983, decode.d7.loss_dice: 1.6543, decode.d8.loss_cls: 1.9022, decode.d8.loss_mask: 1.0002, decode.d8.loss_dice: 1.6532, loss: 54.4408 2022-04-28 22:14:54,560 - mmseg - INFO - Iter [3800/80000] lr: 1.368e-06, eta: 1 day, 14:22:04, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 1.8471, decode.loss_mask: 1.0086, decode.loss_dice: 1.6255, decode.d0.loss_cls: 9.5885, decode.d0.loss_mask: 1.0023, decode.d0.loss_dice: 2.0212, decode.d1.loss_cls: 2.1639, decode.d1.loss_mask: 1.0078, decode.d1.loss_dice: 1.7076, decode.d2.loss_cls: 1.9698, decode.d2.loss_mask: 1.0009, decode.d2.loss_dice: 1.6494, decode.d3.loss_cls: 1.9040, decode.d3.loss_mask: 1.0000, decode.d3.loss_dice: 1.6299, decode.d4.loss_cls: 1.8760, decode.d4.loss_mask: 1.0006, decode.d4.loss_dice: 1.6285, decode.d5.loss_cls: 1.8555, decode.d5.loss_mask: 1.0030, decode.d5.loss_dice: 1.6277, decode.d6.loss_cls: 1.8438, decode.d6.loss_mask: 1.0005, decode.d6.loss_dice: 1.6179, decode.d7.loss_cls: 1.8373, decode.d7.loss_mask: 1.0060, decode.d7.loss_dice: 1.6234, decode.d8.loss_cls: 1.8287, decode.d8.loss_mask: 1.0048, decode.d8.loss_dice: 1.6267, loss: 53.5069 2022-04-28 22:16:22,927 - mmseg - INFO - Iter [3850/80000] lr: 1.367e-06, eta: 1 day, 14:19:49, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.8729, decode.loss_mask: 0.9794, decode.loss_dice: 1.6892, decode.d0.loss_cls: 9.5622, decode.d0.loss_mask: 0.9722, decode.d0.loss_dice: 2.0556, decode.d1.loss_cls: 2.2097, decode.d1.loss_mask: 0.9795, decode.d1.loss_dice: 1.7500, decode.d2.loss_cls: 2.0017, decode.d2.loss_mask: 0.9804, decode.d2.loss_dice: 1.7026, decode.d3.loss_cls: 1.9326, decode.d3.loss_mask: 0.9819, decode.d3.loss_dice: 1.6811, decode.d4.loss_cls: 1.9066, decode.d4.loss_mask: 0.9853, decode.d4.loss_dice: 1.6855, decode.d5.loss_cls: 1.8824, decode.d5.loss_mask: 0.9824, decode.d5.loss_dice: 1.6892, decode.d6.loss_cls: 1.8625, decode.d6.loss_mask: 0.9841, decode.d6.loss_dice: 1.6783, decode.d7.loss_cls: 1.8484, decode.d7.loss_mask: 0.9813, decode.d7.loss_dice: 1.6757, decode.d8.loss_cls: 1.8449, decode.d8.loss_mask: 0.9871, decode.d8.loss_dice: 1.6833, loss: 54.0279 2022-04-28 22:17:51,297 - mmseg - INFO - Iter [3900/80000] lr: 1.366e-06, eta: 1 day, 14:17:35, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.8071, decode.loss_mask: 0.9859, decode.loss_dice: 1.5971, decode.d0.loss_cls: 9.5364, decode.d0.loss_mask: 0.9798, decode.d0.loss_dice: 1.9860, decode.d1.loss_cls: 2.1417, decode.d1.loss_mask: 0.9951, decode.d1.loss_dice: 1.6767, decode.d2.loss_cls: 1.9385, decode.d2.loss_mask: 0.9810, decode.d2.loss_dice: 1.6318, decode.d3.loss_cls: 1.8771, decode.d3.loss_mask: 0.9787, decode.d3.loss_dice: 1.6043, decode.d4.loss_cls: 1.8416, decode.d4.loss_mask: 0.9764, decode.d4.loss_dice: 1.5935, decode.d5.loss_cls: 1.8200, decode.d5.loss_mask: 0.9754, decode.d5.loss_dice: 1.5942, decode.d6.loss_cls: 1.8029, decode.d6.loss_mask: 0.9854, decode.d6.loss_dice: 1.5902, decode.d7.loss_cls: 1.7930, decode.d7.loss_mask: 0.9839, decode.d7.loss_dice: 1.5915, decode.d8.loss_cls: 1.7866, decode.d8.loss_mask: 0.9877, decode.d8.loss_dice: 1.5901, loss: 52.6297 2022-04-28 22:19:19,418 - mmseg - INFO - Iter [3950/80000] lr: 1.365e-06, eta: 1 day, 14:15:17, time: 1.762, data_time: 0.014, memory: 64979, decode.loss_cls: 1.7448, decode.loss_mask: 0.9764, decode.loss_dice: 1.6091, decode.d0.loss_cls: 9.5095, decode.d0.loss_mask: 0.9494, decode.d0.loss_dice: 1.9619, decode.d1.loss_cls: 2.0627, decode.d1.loss_mask: 0.9661, decode.d1.loss_dice: 1.6661, decode.d2.loss_cls: 1.8661, decode.d2.loss_mask: 0.9662, decode.d2.loss_dice: 1.6190, decode.d3.loss_cls: 1.7997, decode.d3.loss_mask: 0.9717, decode.d3.loss_dice: 1.6136, decode.d4.loss_cls: 1.7706, decode.d4.loss_mask: 0.9650, decode.d4.loss_dice: 1.6098, decode.d5.loss_cls: 1.7451, decode.d5.loss_mask: 0.9734, decode.d5.loss_dice: 1.5999, decode.d6.loss_cls: 1.7349, decode.d6.loss_mask: 0.9705, decode.d6.loss_dice: 1.5965, decode.d7.loss_cls: 1.7308, decode.d7.loss_mask: 0.9737, decode.d7.loss_dice: 1.5915, decode.d8.loss_cls: 1.7275, decode.d8.loss_mask: 0.9699, decode.d8.loss_dice: 1.5926, loss: 51.8340 2022-04-28 22:20:48,866 - mmseg - INFO - Saving checkpoint at 4000 iterations 2022-04-28 22:21:23,844 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 22:21:23,854 - mmseg - INFO - Iter [4000/80000] lr: 1.364e-06, eta: 1 day, 14:24:27, time: 2.486, data_time: 0.016, memory: 64979, decode.loss_cls: 1.7692, decode.loss_mask: 0.9821, decode.loss_dice: 1.6022, decode.d0.loss_cls: 9.4932, decode.d0.loss_mask: 0.9749, decode.d0.loss_dice: 1.9538, decode.d1.loss_cls: 2.0843, decode.d1.loss_mask: 0.9858, decode.d1.loss_dice: 1.6788, decode.d2.loss_cls: 1.8997, decode.d2.loss_mask: 0.9760, decode.d2.loss_dice: 1.6249, decode.d3.loss_cls: 1.8295, decode.d3.loss_mask: 0.9790, decode.d3.loss_dice: 1.6063, decode.d4.loss_cls: 1.8001, decode.d4.loss_mask: 0.9734, decode.d4.loss_dice: 1.5990, decode.d5.loss_cls: 1.7787, decode.d5.loss_mask: 0.9731, decode.d5.loss_dice: 1.5916, decode.d6.loss_cls: 1.7589, decode.d6.loss_mask: 0.9849, decode.d6.loss_dice: 1.5892, decode.d7.loss_cls: 1.7487, decode.d7.loss_mask: 0.9760, decode.d7.loss_dice: 1.5907, decode.d8.loss_cls: 1.7451, decode.d8.loss_mask: 0.9821, decode.d8.loss_dice: 1.6007, loss: 52.1320 2022-04-28 22:22:53,323 - mmseg - INFO - Iter [4050/80000] lr: 1.363e-06, eta: 1 day, 14:22:31, time: 1.792, data_time: 0.017, memory: 64979, decode.loss_cls: 1.7560, decode.loss_mask: 0.9797, decode.loss_dice: 1.6001, decode.d0.loss_cls: 9.4738, decode.d0.loss_mask: 0.9575, decode.d0.loss_dice: 1.9636, decode.d1.loss_cls: 2.0878, decode.d1.loss_mask: 0.9835, decode.d1.loss_dice: 1.6807, decode.d2.loss_cls: 1.8889, decode.d2.loss_mask: 0.9760, decode.d2.loss_dice: 1.6263, decode.d3.loss_cls: 1.8302, decode.d3.loss_mask: 0.9777, decode.d3.loss_dice: 1.6088, decode.d4.loss_cls: 1.7948, decode.d4.loss_mask: 0.9721, decode.d4.loss_dice: 1.6085, decode.d5.loss_cls: 1.7712, decode.d5.loss_mask: 0.9726, decode.d5.loss_dice: 1.6114, decode.d6.loss_cls: 1.7528, decode.d6.loss_mask: 0.9751, decode.d6.loss_dice: 1.5922, decode.d7.loss_cls: 1.7462, decode.d7.loss_mask: 0.9803, decode.d7.loss_dice: 1.6036, decode.d8.loss_cls: 1.7387, decode.d8.loss_mask: 0.9844, decode.d8.loss_dice: 1.6032, loss: 52.0977 2022-04-28 22:24:22,141 - mmseg - INFO - Iter [4100/80000] lr: 1.362e-06, eta: 1 day, 14:20:17, time: 1.773, data_time: 0.016, memory: 64979, decode.loss_cls: 1.7179, decode.loss_mask: 0.9736, decode.loss_dice: 1.6201, decode.d0.loss_cls: 9.4415, decode.d0.loss_mask: 0.9596, decode.d0.loss_dice: 1.9716, decode.d1.loss_cls: 2.0471, decode.d1.loss_mask: 0.9789, decode.d1.loss_dice: 1.6807, decode.d2.loss_cls: 1.8507, decode.d2.loss_mask: 0.9833, decode.d2.loss_dice: 1.6368, decode.d3.loss_cls: 1.7878, decode.d3.loss_mask: 0.9802, decode.d3.loss_dice: 1.6262, decode.d4.loss_cls: 1.7531, decode.d4.loss_mask: 0.9812, decode.d4.loss_dice: 1.6270, decode.d5.loss_cls: 1.7288, decode.d5.loss_mask: 0.9772, decode.d5.loss_dice: 1.6130, decode.d6.loss_cls: 1.7088, decode.d6.loss_mask: 0.9766, decode.d6.loss_dice: 1.6186, decode.d7.loss_cls: 1.7076, decode.d7.loss_mask: 0.9740, decode.d7.loss_dice: 1.6156, decode.d8.loss_cls: 1.6998, decode.d8.loss_mask: 0.9774, decode.d8.loss_dice: 1.6166, loss: 51.8312 2022-04-28 22:25:52,166 - mmseg - INFO - Iter [4150/80000] lr: 1.361e-06, eta: 1 day, 14:18:33, time: 1.804, data_time: 0.018, memory: 64979, decode.loss_cls: 1.6959, decode.loss_mask: 0.9875, decode.loss_dice: 1.6099, decode.d0.loss_cls: 9.4185, decode.d0.loss_mask: 0.9755, decode.d0.loss_dice: 1.9584, decode.d1.loss_cls: 2.0113, decode.d1.loss_mask: 0.9883, decode.d1.loss_dice: 1.6883, decode.d2.loss_cls: 1.8197, decode.d2.loss_mask: 0.9843, decode.d2.loss_dice: 1.6351, decode.d3.loss_cls: 1.7598, decode.d3.loss_mask: 0.9817, decode.d3.loss_dice: 1.6158, decode.d4.loss_cls: 1.7176, decode.d4.loss_mask: 0.9724, decode.d4.loss_dice: 1.6065, decode.d5.loss_cls: 1.6977, decode.d5.loss_mask: 0.9776, decode.d5.loss_dice: 1.6044, decode.d6.loss_cls: 1.6904, decode.d6.loss_mask: 0.9785, decode.d6.loss_dice: 1.5994, decode.d7.loss_cls: 1.6827, decode.d7.loss_mask: 0.9766, decode.d7.loss_dice: 1.6062, decode.d8.loss_cls: 1.6693, decode.d8.loss_mask: 0.9856, decode.d8.loss_dice: 1.6113, loss: 51.5060 2022-04-28 22:27:23,043 - mmseg - INFO - Iter [4200/80000] lr: 1.360e-06, eta: 1 day, 14:17:02, time: 1.817, data_time: 0.016, memory: 64979, decode.loss_cls: 1.7160, decode.loss_mask: 0.9546, decode.loss_dice: 1.5961, decode.d0.loss_cls: 9.3911, decode.d0.loss_mask: 0.9261, decode.d0.loss_dice: 1.9380, decode.d1.loss_cls: 2.0453, decode.d1.loss_mask: 0.9542, decode.d1.loss_dice: 1.6658, decode.d2.loss_cls: 1.8466, decode.d2.loss_mask: 0.9420, decode.d2.loss_dice: 1.6140, decode.d3.loss_cls: 1.7715, decode.d3.loss_mask: 0.9412, decode.d3.loss_dice: 1.6013, decode.d4.loss_cls: 1.7389, decode.d4.loss_mask: 0.9429, decode.d4.loss_dice: 1.5988, decode.d5.loss_cls: 1.7171, decode.d5.loss_mask: 0.9471, decode.d5.loss_dice: 1.5887, decode.d6.loss_cls: 1.7002, decode.d6.loss_mask: 0.9516, decode.d6.loss_dice: 1.5872, decode.d7.loss_cls: 1.6950, decode.d7.loss_mask: 0.9482, decode.d7.loss_dice: 1.5908, decode.d8.loss_cls: 1.6963, decode.d8.loss_mask: 0.9533, decode.d8.loss_dice: 1.5917, loss: 51.1518 2022-04-28 22:28:52,028 - mmseg - INFO - Iter [4250/80000] lr: 1.360e-06, eta: 1 day, 14:14:56, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 1.7285, decode.loss_mask: 0.9738, decode.loss_dice: 1.5923, decode.d0.loss_cls: 9.3796, decode.d0.loss_mask: 0.9548, decode.d0.loss_dice: 1.9423, decode.d1.loss_cls: 2.0424, decode.d1.loss_mask: 0.9673, decode.d1.loss_dice: 1.6541, decode.d2.loss_cls: 1.8645, decode.d2.loss_mask: 0.9665, decode.d2.loss_dice: 1.6071, decode.d3.loss_cls: 1.8074, decode.d3.loss_mask: 0.9656, decode.d3.loss_dice: 1.5922, decode.d4.loss_cls: 1.7698, decode.d4.loss_mask: 0.9596, decode.d4.loss_dice: 1.5950, decode.d5.loss_cls: 1.7428, decode.d5.loss_mask: 0.9669, decode.d5.loss_dice: 1.5885, decode.d6.loss_cls: 1.7317, decode.d6.loss_mask: 0.9771, decode.d6.loss_dice: 1.5822, decode.d7.loss_cls: 1.7139, decode.d7.loss_mask: 0.9776, decode.d7.loss_dice: 1.5824, decode.d8.loss_cls: 1.7136, decode.d8.loss_mask: 0.9736, decode.d8.loss_dice: 1.5798, loss: 51.4929 2022-04-28 22:30:21,455 - mmseg - INFO - Iter [4300/80000] lr: 1.359e-06, eta: 1 day, 14:13:00, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 1.7105, decode.loss_mask: 0.9815, decode.loss_dice: 1.6003, decode.d0.loss_cls: 9.3505, decode.d0.loss_mask: 0.9602, decode.d0.loss_dice: 1.9393, decode.d1.loss_cls: 2.0287, decode.d1.loss_mask: 0.9898, decode.d1.loss_dice: 1.6579, decode.d2.loss_cls: 1.8307, decode.d2.loss_mask: 0.9743, decode.d2.loss_dice: 1.6080, decode.d3.loss_cls: 1.7707, decode.d3.loss_mask: 0.9737, decode.d3.loss_dice: 1.5913, decode.d4.loss_cls: 1.7446, decode.d4.loss_mask: 0.9701, decode.d4.loss_dice: 1.5951, decode.d5.loss_cls: 1.7213, decode.d5.loss_mask: 0.9744, decode.d5.loss_dice: 1.5820, decode.d6.loss_cls: 1.7101, decode.d6.loss_mask: 0.9792, decode.d6.loss_dice: 1.5789, decode.d7.loss_cls: 1.6990, decode.d7.loss_mask: 0.9740, decode.d7.loss_dice: 1.5826, decode.d8.loss_cls: 1.6954, decode.d8.loss_mask: 0.9790, decode.d8.loss_dice: 1.5866, loss: 51.3398 2022-04-28 22:31:49,439 - mmseg - INFO - Iter [4350/80000] lr: 1.358e-06, eta: 1 day, 14:10:39, time: 1.760, data_time: 0.017, memory: 64979, decode.loss_cls: 1.7333, decode.loss_mask: 0.9400, decode.loss_dice: 1.6190, decode.d0.loss_cls: 9.3366, decode.d0.loss_mask: 0.9101, decode.d0.loss_dice: 1.9454, decode.d1.loss_cls: 2.0408, decode.d1.loss_mask: 0.9431, decode.d1.loss_dice: 1.6843, decode.d2.loss_cls: 1.8384, decode.d2.loss_mask: 0.9355, decode.d2.loss_dice: 1.6378, decode.d3.loss_cls: 1.7812, decode.d3.loss_mask: 0.9364, decode.d3.loss_dice: 1.6207, decode.d4.loss_cls: 1.7563, decode.d4.loss_mask: 0.9265, decode.d4.loss_dice: 1.6125, decode.d5.loss_cls: 1.7365, decode.d5.loss_mask: 0.9277, decode.d5.loss_dice: 1.6018, decode.d6.loss_cls: 1.7193, decode.d6.loss_mask: 0.9419, decode.d6.loss_dice: 1.6026, decode.d7.loss_cls: 1.7108, decode.d7.loss_mask: 0.9377, decode.d7.loss_dice: 1.6063, decode.d8.loss_cls: 1.7107, decode.d8.loss_mask: 0.9478, decode.d8.loss_dice: 1.6106, loss: 51.2516 2022-04-28 22:33:18,337 - mmseg - INFO - Iter [4400/80000] lr: 1.357e-06, eta: 1 day, 14:08:35, time: 1.778, data_time: 0.016, memory: 64979, decode.loss_cls: 1.6418, decode.loss_mask: 0.9800, decode.loss_dice: 1.5712, decode.d0.loss_cls: 9.2977, decode.d0.loss_mask: 0.9496, decode.d0.loss_dice: 1.9085, decode.d1.loss_cls: 1.9619, decode.d1.loss_mask: 0.9731, decode.d1.loss_dice: 1.6378, decode.d2.loss_cls: 1.7534, decode.d2.loss_mask: 0.9703, decode.d2.loss_dice: 1.5923, decode.d3.loss_cls: 1.6933, decode.d3.loss_mask: 0.9652, decode.d3.loss_dice: 1.5731, decode.d4.loss_cls: 1.6619, decode.d4.loss_mask: 0.9637, decode.d4.loss_dice: 1.5668, decode.d5.loss_cls: 1.6491, decode.d5.loss_mask: 0.9733, decode.d5.loss_dice: 1.5620, decode.d6.loss_cls: 1.6369, decode.d6.loss_mask: 0.9675, decode.d6.loss_dice: 1.5541, decode.d7.loss_cls: 1.6314, decode.d7.loss_mask: 0.9617, decode.d7.loss_dice: 1.5578, decode.d8.loss_cls: 1.6325, decode.d8.loss_mask: 0.9684, decode.d8.loss_dice: 1.5664, loss: 50.3227 2022-04-28 22:34:49,055 - mmseg - INFO - Iter [4450/80000] lr: 1.356e-06, eta: 1 day, 14:07:02, time: 1.814, data_time: 0.015, memory: 64979, decode.loss_cls: 1.6264, decode.loss_mask: 0.9631, decode.loss_dice: 1.5502, decode.d0.loss_cls: 9.2728, decode.d0.loss_mask: 0.9410, decode.d0.loss_dice: 1.8914, decode.d1.loss_cls: 1.9473, decode.d1.loss_mask: 0.9565, decode.d1.loss_dice: 1.6226, decode.d2.loss_cls: 1.7423, decode.d2.loss_mask: 0.9582, decode.d2.loss_dice: 1.5881, decode.d3.loss_cls: 1.6904, decode.d3.loss_mask: 0.9512, decode.d3.loss_dice: 1.5642, decode.d4.loss_cls: 1.6613, decode.d4.loss_mask: 0.9488, decode.d4.loss_dice: 1.5633, decode.d5.loss_cls: 1.6407, decode.d5.loss_mask: 0.9554, decode.d5.loss_dice: 1.5508, decode.d6.loss_cls: 1.6292, decode.d6.loss_mask: 0.9572, decode.d6.loss_dice: 1.5433, decode.d7.loss_cls: 1.6123, decode.d7.loss_mask: 0.9607, decode.d7.loss_dice: 1.5529, decode.d8.loss_cls: 1.6129, decode.d8.loss_mask: 0.9609, decode.d8.loss_dice: 1.5534, loss: 49.9686 2022-04-28 22:36:18,295 - mmseg - INFO - Iter [4500/80000] lr: 1.355e-06, eta: 1 day, 14:05:05, time: 1.785, data_time: 0.017, memory: 64979, decode.loss_cls: 1.6813, decode.loss_mask: 1.0021, decode.loss_dice: 1.5963, decode.d0.loss_cls: 9.2586, decode.d0.loss_mask: 0.9735, decode.d0.loss_dice: 1.9437, decode.d1.loss_cls: 2.0165, decode.d1.loss_mask: 0.9990, decode.d1.loss_dice: 1.6743, decode.d2.loss_cls: 1.8210, decode.d2.loss_mask: 1.0012, decode.d2.loss_dice: 1.6358, decode.d3.loss_cls: 1.7459, decode.d3.loss_mask: 0.9967, decode.d3.loss_dice: 1.6100, decode.d4.loss_cls: 1.7236, decode.d4.loss_mask: 0.9950, decode.d4.loss_dice: 1.6120, decode.d5.loss_cls: 1.6941, decode.d5.loss_mask: 1.0036, decode.d5.loss_dice: 1.6042, decode.d6.loss_cls: 1.6810, decode.d6.loss_mask: 1.0012, decode.d6.loss_dice: 1.5908, decode.d7.loss_cls: 1.6682, decode.d7.loss_mask: 1.0047, decode.d7.loss_dice: 1.5910, decode.d8.loss_cls: 1.6669, decode.d8.loss_mask: 1.0058, decode.d8.loss_dice: 1.5973, loss: 51.3952 2022-04-28 22:37:47,937 - mmseg - INFO - Iter [4550/80000] lr: 1.354e-06, eta: 1 day, 14:03:15, time: 1.793, data_time: 0.015, memory: 64979, decode.loss_cls: 1.5829, decode.loss_mask: 0.9595, decode.loss_dice: 1.5477, decode.d0.loss_cls: 9.2291, decode.d0.loss_mask: 0.9408, decode.d0.loss_dice: 1.8890, decode.d1.loss_cls: 1.9062, decode.d1.loss_mask: 0.9595, decode.d1.loss_dice: 1.6346, decode.d2.loss_cls: 1.7031, decode.d2.loss_mask: 0.9612, decode.d2.loss_dice: 1.5793, decode.d3.loss_cls: 1.6466, decode.d3.loss_mask: 0.9598, decode.d3.loss_dice: 1.5585, decode.d4.loss_cls: 1.6207, decode.d4.loss_mask: 0.9520, decode.d4.loss_dice: 1.5641, decode.d5.loss_cls: 1.5878, decode.d5.loss_mask: 0.9547, decode.d5.loss_dice: 1.5555, decode.d6.loss_cls: 1.5777, decode.d6.loss_mask: 0.9674, decode.d6.loss_dice: 1.5511, decode.d7.loss_cls: 1.5722, decode.d7.loss_mask: 0.9599, decode.d7.loss_dice: 1.5525, decode.d8.loss_cls: 1.5595, decode.d8.loss_mask: 0.9596, decode.d8.loss_dice: 1.5467, loss: 49.5392 2022-04-28 22:39:16,886 - mmseg - INFO - Iter [4600/80000] lr: 1.353e-06, eta: 1 day, 14:01:14, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 1.6386, decode.loss_mask: 0.9710, decode.loss_dice: 1.5361, decode.d0.loss_cls: 9.2010, decode.d0.loss_mask: 0.9440, decode.d0.loss_dice: 1.8929, decode.d1.loss_cls: 1.9494, decode.d1.loss_mask: 0.9690, decode.d1.loss_dice: 1.6168, decode.d2.loss_cls: 1.7527, decode.d2.loss_mask: 0.9603, decode.d2.loss_dice: 1.5623, decode.d3.loss_cls: 1.6954, decode.d3.loss_mask: 0.9600, decode.d3.loss_dice: 1.5388, decode.d4.loss_cls: 1.6693, decode.d4.loss_mask: 0.9563, decode.d4.loss_dice: 1.5405, decode.d5.loss_cls: 1.6478, decode.d5.loss_mask: 0.9604, decode.d5.loss_dice: 1.5315, decode.d6.loss_cls: 1.6370, decode.d6.loss_mask: 0.9601, decode.d6.loss_dice: 1.5288, decode.d7.loss_cls: 1.6348, decode.d7.loss_mask: 0.9631, decode.d7.loss_dice: 1.5340, decode.d8.loss_cls: 1.6305, decode.d8.loss_mask: 0.9625, decode.d8.loss_dice: 1.5389, loss: 49.8837 2022-04-28 22:40:46,295 - mmseg - INFO - Iter [4650/80000] lr: 1.352e-06, eta: 1 day, 13:59:21, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 1.6304, decode.loss_mask: 0.9277, decode.loss_dice: 1.5521, decode.d0.loss_cls: 9.1883, decode.d0.loss_mask: 0.9115, decode.d0.loss_dice: 1.8968, decode.d1.loss_cls: 1.9536, decode.d1.loss_mask: 0.9355, decode.d1.loss_dice: 1.6172, decode.d2.loss_cls: 1.7433, decode.d2.loss_mask: 0.9272, decode.d2.loss_dice: 1.5631, decode.d3.loss_cls: 1.6906, decode.d3.loss_mask: 0.9264, decode.d3.loss_dice: 1.5439, decode.d4.loss_cls: 1.6536, decode.d4.loss_mask: 0.9250, decode.d4.loss_dice: 1.5558, decode.d5.loss_cls: 1.6311, decode.d5.loss_mask: 0.9310, decode.d5.loss_dice: 1.5432, decode.d6.loss_cls: 1.6279, decode.d6.loss_mask: 0.9340, decode.d6.loss_dice: 1.5401, decode.d7.loss_cls: 1.6191, decode.d7.loss_mask: 0.9345, decode.d7.loss_dice: 1.5543, decode.d8.loss_cls: 1.6219, decode.d8.loss_mask: 0.9287, decode.d8.loss_dice: 1.5450, loss: 49.5529 2022-04-28 22:42:15,630 - mmseg - INFO - Iter [4700/80000] lr: 1.351e-06, eta: 1 day, 13:57:28, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 1.6312, decode.loss_mask: 0.9748, decode.loss_dice: 1.5718, decode.d0.loss_cls: 9.1666, decode.d0.loss_mask: 0.9495, decode.d0.loss_dice: 1.9270, decode.d1.loss_cls: 1.9267, decode.d1.loss_mask: 0.9787, decode.d1.loss_dice: 1.6545, decode.d2.loss_cls: 1.7336, decode.d2.loss_mask: 0.9746, decode.d2.loss_dice: 1.6099, decode.d3.loss_cls: 1.6829, decode.d3.loss_mask: 0.9688, decode.d3.loss_dice: 1.5889, decode.d4.loss_cls: 1.6562, decode.d4.loss_mask: 0.9658, decode.d4.loss_dice: 1.5855, decode.d5.loss_cls: 1.6274, decode.d5.loss_mask: 0.9712, decode.d5.loss_dice: 1.5719, decode.d6.loss_cls: 1.6249, decode.d6.loss_mask: 0.9748, decode.d6.loss_dice: 1.5722, decode.d7.loss_cls: 1.6255, decode.d7.loss_mask: 0.9751, decode.d7.loss_dice: 1.5645, decode.d8.loss_cls: 1.6194, decode.d8.loss_mask: 0.9746, decode.d8.loss_dice: 1.5694, loss: 50.2178 2022-04-28 22:43:44,674 - mmseg - INFO - Iter [4750/80000] lr: 1.351e-06, eta: 1 day, 13:55:30, time: 1.781, data_time: 0.017, memory: 64979, decode.loss_cls: 1.6066, decode.loss_mask: 0.9382, decode.loss_dice: 1.5151, decode.d0.loss_cls: 9.1218, decode.d0.loss_mask: 0.9284, decode.d0.loss_dice: 1.8481, decode.d1.loss_cls: 1.9041, decode.d1.loss_mask: 0.9516, decode.d1.loss_dice: 1.5877, decode.d2.loss_cls: 1.7100, decode.d2.loss_mask: 0.9364, decode.d2.loss_dice: 1.5441, decode.d3.loss_cls: 1.6592, decode.d3.loss_mask: 0.9400, decode.d3.loss_dice: 1.5231, decode.d4.loss_cls: 1.6377, decode.d4.loss_mask: 0.9316, decode.d4.loss_dice: 1.5242, decode.d5.loss_cls: 1.6146, decode.d5.loss_mask: 0.9371, decode.d5.loss_dice: 1.5146, decode.d6.loss_cls: 1.6048, decode.d6.loss_mask: 0.9427, decode.d6.loss_dice: 1.5087, decode.d7.loss_cls: 1.5954, decode.d7.loss_mask: 0.9357, decode.d7.loss_dice: 1.5111, decode.d8.loss_cls: 1.5968, decode.d8.loss_mask: 0.9445, decode.d8.loss_dice: 1.5146, loss: 49.0285 2022-04-28 22:45:13,647 - mmseg - INFO - Iter [4800/80000] lr: 1.350e-06, eta: 1 day, 13:53:32, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 1.5576, decode.loss_mask: 0.9494, decode.loss_dice: 1.5469, decode.d0.loss_cls: 9.0998, decode.d0.loss_mask: 0.9235, decode.d0.loss_dice: 1.8709, decode.d1.loss_cls: 1.8725, decode.d1.loss_mask: 0.9419, decode.d1.loss_dice: 1.6002, decode.d2.loss_cls: 1.6680, decode.d2.loss_mask: 0.9477, decode.d2.loss_dice: 1.5616, decode.d3.loss_cls: 1.6085, decode.d3.loss_mask: 0.9492, decode.d3.loss_dice: 1.5420, decode.d4.loss_cls: 1.5874, decode.d4.loss_mask: 0.9419, decode.d4.loss_dice: 1.5508, decode.d5.loss_cls: 1.5607, decode.d5.loss_mask: 0.9428, decode.d5.loss_dice: 1.5389, decode.d6.loss_cls: 1.5545, decode.d6.loss_mask: 0.9473, decode.d6.loss_dice: 1.5367, decode.d7.loss_cls: 1.5405, decode.d7.loss_mask: 0.9463, decode.d7.loss_dice: 1.5363, decode.d8.loss_cls: 1.5397, decode.d8.loss_mask: 0.9544, decode.d8.loss_dice: 1.5447, loss: 48.8627 2022-04-28 22:46:43,099 - mmseg - INFO - Iter [4850/80000] lr: 1.349e-06, eta: 1 day, 13:51:42, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 1.5387, decode.loss_mask: 0.9610, decode.loss_dice: 1.5315, decode.d0.loss_cls: 9.0702, decode.d0.loss_mask: 0.9297, decode.d0.loss_dice: 1.8515, decode.d1.loss_cls: 1.8213, decode.d1.loss_mask: 0.9550, decode.d1.loss_dice: 1.5896, decode.d2.loss_cls: 1.6433, decode.d2.loss_mask: 0.9492, decode.d2.loss_dice: 1.5526, decode.d3.loss_cls: 1.5935, decode.d3.loss_mask: 0.9568, decode.d3.loss_dice: 1.5293, decode.d4.loss_cls: 1.5616, decode.d4.loss_mask: 0.9499, decode.d4.loss_dice: 1.5215, decode.d5.loss_cls: 1.5470, decode.d5.loss_mask: 0.9454, decode.d5.loss_dice: 1.5249, decode.d6.loss_cls: 1.5298, decode.d6.loss_mask: 0.9504, decode.d6.loss_dice: 1.5277, decode.d7.loss_cls: 1.5252, decode.d7.loss_mask: 0.9516, decode.d7.loss_dice: 1.5232, decode.d8.loss_cls: 1.5121, decode.d8.loss_mask: 0.9536, decode.d8.loss_dice: 1.5313, loss: 48.5283 2022-04-28 22:48:11,949 - mmseg - INFO - Iter [4900/80000] lr: 1.348e-06, eta: 1 day, 13:49:43, time: 1.777, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4979, decode.loss_mask: 0.9553, decode.loss_dice: 1.5311, decode.d0.loss_cls: 9.0410, decode.d0.loss_mask: 0.9163, decode.d0.loss_dice: 1.8435, decode.d1.loss_cls: 1.7806, decode.d1.loss_mask: 0.9556, decode.d1.loss_dice: 1.5900, decode.d2.loss_cls: 1.5982, decode.d2.loss_mask: 0.9516, decode.d2.loss_dice: 1.5460, decode.d3.loss_cls: 1.5497, decode.d3.loss_mask: 0.9480, decode.d3.loss_dice: 1.5299, decode.d4.loss_cls: 1.5236, decode.d4.loss_mask: 0.9502, decode.d4.loss_dice: 1.5359, decode.d5.loss_cls: 1.5023, decode.d5.loss_mask: 0.9410, decode.d5.loss_dice: 1.5170, decode.d6.loss_cls: 1.5017, decode.d6.loss_mask: 0.9467, decode.d6.loss_dice: 1.5190, decode.d7.loss_cls: 1.4910, decode.d7.loss_mask: 0.9470, decode.d7.loss_dice: 1.5107, decode.d8.loss_cls: 1.4806, decode.d8.loss_mask: 0.9539, decode.d8.loss_dice: 1.5235, loss: 48.0787 2022-04-28 22:49:41,234 - mmseg - INFO - Iter [4950/80000] lr: 1.347e-06, eta: 1 day, 13:47:52, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4954, decode.loss_mask: 0.9252, decode.loss_dice: 1.5217, decode.d0.loss_cls: 9.0219, decode.d0.loss_mask: 0.8950, decode.d0.loss_dice: 1.8224, decode.d1.loss_cls: 1.7787, decode.d1.loss_mask: 0.9169, decode.d1.loss_dice: 1.5655, decode.d2.loss_cls: 1.5941, decode.d2.loss_mask: 0.9182, decode.d2.loss_dice: 1.5269, decode.d3.loss_cls: 1.5407, decode.d3.loss_mask: 0.9218, decode.d3.loss_dice: 1.5087, decode.d4.loss_cls: 1.5239, decode.d4.loss_mask: 0.9202, decode.d4.loss_dice: 1.5093, decode.d5.loss_cls: 1.4931, decode.d5.loss_mask: 0.9306, decode.d5.loss_dice: 1.5016, decode.d6.loss_cls: 1.4881, decode.d6.loss_mask: 0.9266, decode.d6.loss_dice: 1.4977, decode.d7.loss_cls: 1.4851, decode.d7.loss_mask: 0.9166, decode.d7.loss_dice: 1.5026, decode.d8.loss_cls: 1.4860, decode.d8.loss_mask: 0.9216, decode.d8.loss_dice: 1.5074, loss: 47.5634 2022-04-28 22:51:10,293 - mmseg - INFO - Saving checkpoint at 5000 iterations 2022-04-28 22:51:28,877 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 22:51:28,887 - mmseg - INFO - Iter [5000/80000] lr: 1.346e-06, eta: 1 day, 13:50:34, time: 2.150, data_time: 0.016, memory: 64979, decode.loss_cls: 1.5845, decode.loss_mask: 0.9653, decode.loss_dice: 1.5573, decode.d0.loss_cls: 9.0107, decode.d0.loss_mask: 0.9394, decode.d0.loss_dice: 1.8880, decode.d1.loss_cls: 1.8745, decode.d1.loss_mask: 0.9722, decode.d1.loss_dice: 1.6268, decode.d2.loss_cls: 1.6984, decode.d2.loss_mask: 0.9684, decode.d2.loss_dice: 1.5779, decode.d3.loss_cls: 1.6324, decode.d3.loss_mask: 0.9727, decode.d3.loss_dice: 1.5717, decode.d4.loss_cls: 1.6050, decode.d4.loss_mask: 0.9779, decode.d4.loss_dice: 1.5581, decode.d5.loss_cls: 1.5837, decode.d5.loss_mask: 0.9731, decode.d5.loss_dice: 1.5604, decode.d6.loss_cls: 1.5846, decode.d6.loss_mask: 0.9662, decode.d6.loss_dice: 1.5500, decode.d7.loss_cls: 1.5825, decode.d7.loss_mask: 0.9604, decode.d7.loss_dice: 1.5606, decode.d8.loss_cls: 1.5758, decode.d8.loss_mask: 0.9696, decode.d8.loss_dice: 1.5646, loss: 49.4126 2022-04-28 22:52:58,924 - mmseg - INFO - Iter [5050/80000] lr: 1.345e-06, eta: 1 day, 13:48:53, time: 1.803, data_time: 0.017, memory: 64979, decode.loss_cls: 1.5216, decode.loss_mask: 0.9527, decode.loss_dice: 1.5057, decode.d0.loss_cls: 8.9778, decode.d0.loss_mask: 0.9298, decode.d0.loss_dice: 1.8189, decode.d1.loss_cls: 1.8083, decode.d1.loss_mask: 0.9560, decode.d1.loss_dice: 1.5660, decode.d2.loss_cls: 1.6112, decode.d2.loss_mask: 0.9512, decode.d2.loss_dice: 1.5297, decode.d3.loss_cls: 1.5742, decode.d3.loss_mask: 0.9522, decode.d3.loss_dice: 1.5081, decode.d4.loss_cls: 1.5502, decode.d4.loss_mask: 0.9463, decode.d4.loss_dice: 1.4999, decode.d5.loss_cls: 1.5278, decode.d5.loss_mask: 0.9463, decode.d5.loss_dice: 1.4934, decode.d6.loss_cls: 1.5171, decode.d6.loss_mask: 0.9522, decode.d6.loss_dice: 1.4833, decode.d7.loss_cls: 1.5068, decode.d7.loss_mask: 0.9529, decode.d7.loss_dice: 1.5044, decode.d8.loss_cls: 1.5043, decode.d8.loss_mask: 0.9542, decode.d8.loss_dice: 1.5050, loss: 48.0072 2022-04-28 22:54:28,434 - mmseg - INFO - Iter [5100/80000] lr: 1.344e-06, eta: 1 day, 13:47:04, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 1.5172, decode.loss_mask: 0.9661, decode.loss_dice: 1.5629, decode.d0.loss_cls: 8.9580, decode.d0.loss_mask: 0.9342, decode.d0.loss_dice: 1.8751, decode.d1.loss_cls: 1.7987, decode.d1.loss_mask: 0.9585, decode.d1.loss_dice: 1.6291, decode.d2.loss_cls: 1.6090, decode.d2.loss_mask: 0.9526, decode.d2.loss_dice: 1.5855, decode.d3.loss_cls: 1.5459, decode.d3.loss_mask: 0.9569, decode.d3.loss_dice: 1.5624, decode.d4.loss_cls: 1.5304, decode.d4.loss_mask: 0.9583, decode.d4.loss_dice: 1.5600, decode.d5.loss_cls: 1.5077, decode.d5.loss_mask: 0.9598, decode.d5.loss_dice: 1.5568, decode.d6.loss_cls: 1.5052, decode.d6.loss_mask: 0.9670, decode.d6.loss_dice: 1.5436, decode.d7.loss_cls: 1.5103, decode.d7.loss_mask: 0.9628, decode.d7.loss_dice: 1.5522, decode.d8.loss_cls: 1.5010, decode.d8.loss_mask: 0.9668, decode.d8.loss_dice: 1.5701, loss: 48.5642 2022-04-28 22:55:57,871 - mmseg - INFO - Iter [5150/80000] lr: 1.343e-06, eta: 1 day, 13:45:13, time: 1.789, data_time: 0.013, memory: 64979, decode.loss_cls: 1.5238, decode.loss_mask: 0.9546, decode.loss_dice: 1.5503, decode.d0.loss_cls: 8.9282, decode.d0.loss_mask: 0.9345, decode.d0.loss_dice: 1.8722, decode.d1.loss_cls: 1.8078, decode.d1.loss_mask: 0.9568, decode.d1.loss_dice: 1.6195, decode.d2.loss_cls: 1.6142, decode.d2.loss_mask: 0.9544, decode.d2.loss_dice: 1.5785, decode.d3.loss_cls: 1.5568, decode.d3.loss_mask: 0.9599, decode.d3.loss_dice: 1.5529, decode.d4.loss_cls: 1.5361, decode.d4.loss_mask: 0.9565, decode.d4.loss_dice: 1.5436, decode.d5.loss_cls: 1.5269, decode.d5.loss_mask: 0.9551, decode.d5.loss_dice: 1.5527, decode.d6.loss_cls: 1.5124, decode.d6.loss_mask: 0.9553, decode.d6.loss_dice: 1.5427, decode.d7.loss_cls: 1.5121, decode.d7.loss_mask: 0.9547, decode.d7.loss_dice: 1.5405, decode.d8.loss_cls: 1.5035, decode.d8.loss_mask: 0.9589, decode.d8.loss_dice: 1.5512, loss: 48.4668 2022-04-28 22:57:26,498 - mmseg - INFO - Iter [5200/80000] lr: 1.342e-06, eta: 1 day, 13:43:11, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4718, decode.loss_mask: 0.9562, decode.loss_dice: 1.4887, decode.d0.loss_cls: 8.8964, decode.d0.loss_mask: 0.9312, decode.d0.loss_dice: 1.7969, decode.d1.loss_cls: 1.7480, decode.d1.loss_mask: 0.9598, decode.d1.loss_dice: 1.5514, decode.d2.loss_cls: 1.5663, decode.d2.loss_mask: 0.9573, decode.d2.loss_dice: 1.5175, decode.d3.loss_cls: 1.5232, decode.d3.loss_mask: 0.9479, decode.d3.loss_dice: 1.5000, decode.d4.loss_cls: 1.5030, decode.d4.loss_mask: 0.9521, decode.d4.loss_dice: 1.4995, decode.d5.loss_cls: 1.4711, decode.d5.loss_mask: 0.9516, decode.d5.loss_dice: 1.4945, decode.d6.loss_cls: 1.4657, decode.d6.loss_mask: 0.9533, decode.d6.loss_dice: 1.4877, decode.d7.loss_cls: 1.4572, decode.d7.loss_mask: 0.9581, decode.d7.loss_dice: 1.4888, decode.d8.loss_cls: 1.4554, decode.d8.loss_mask: 0.9561, decode.d8.loss_dice: 1.4875, loss: 47.3943 2022-04-28 22:58:55,461 - mmseg - INFO - Iter [5250/80000] lr: 1.342e-06, eta: 1 day, 13:41:14, time: 1.779, data_time: 0.017, memory: 64979, decode.loss_cls: 1.4343, decode.loss_mask: 0.9446, decode.loss_dice: 1.4961, decode.d0.loss_cls: 8.8670, decode.d0.loss_mask: 0.9169, decode.d0.loss_dice: 1.8089, decode.d1.loss_cls: 1.7238, decode.d1.loss_mask: 0.9292, decode.d1.loss_dice: 1.5555, decode.d2.loss_cls: 1.5399, decode.d2.loss_mask: 0.9349, decode.d2.loss_dice: 1.5129, decode.d3.loss_cls: 1.4763, decode.d3.loss_mask: 0.9353, decode.d3.loss_dice: 1.4921, decode.d4.loss_cls: 1.4614, decode.d4.loss_mask: 0.9299, decode.d4.loss_dice: 1.4912, decode.d5.loss_cls: 1.4466, decode.d5.loss_mask: 0.9298, decode.d5.loss_dice: 1.4872, decode.d6.loss_cls: 1.4348, decode.d6.loss_mask: 0.9316, decode.d6.loss_dice: 1.4856, decode.d7.loss_cls: 1.4342, decode.d7.loss_mask: 0.9354, decode.d7.loss_dice: 1.4912, decode.d8.loss_cls: 1.4163, decode.d8.loss_mask: 0.9338, decode.d8.loss_dice: 1.4854, loss: 46.8620 2022-04-28 23:00:24,904 - mmseg - INFO - Iter [5300/80000] lr: 1.341e-06, eta: 1 day, 13:39:25, time: 1.789, data_time: 0.014, memory: 64979, decode.loss_cls: 1.5229, decode.loss_mask: 0.9397, decode.loss_dice: 1.5216, decode.d0.loss_cls: 8.8544, decode.d0.loss_mask: 0.9112, decode.d0.loss_dice: 1.8374, decode.d1.loss_cls: 1.8036, decode.d1.loss_mask: 0.9432, decode.d1.loss_dice: 1.5846, decode.d2.loss_cls: 1.6120, decode.d2.loss_mask: 0.9415, decode.d2.loss_dice: 1.5428, decode.d3.loss_cls: 1.5625, decode.d3.loss_mask: 0.9304, decode.d3.loss_dice: 1.5198, decode.d4.loss_cls: 1.5436, decode.d4.loss_mask: 0.9339, decode.d4.loss_dice: 1.5209, decode.d5.loss_cls: 1.5281, decode.d5.loss_mask: 0.9361, decode.d5.loss_dice: 1.5149, decode.d6.loss_cls: 1.5195, decode.d6.loss_mask: 0.9385, decode.d6.loss_dice: 1.5095, decode.d7.loss_cls: 1.5154, decode.d7.loss_mask: 0.9307, decode.d7.loss_dice: 1.5174, decode.d8.loss_cls: 1.5114, decode.d8.loss_mask: 0.9347, decode.d8.loss_dice: 1.5195, loss: 47.9016 2022-04-28 23:01:54,495 - mmseg - INFO - Iter [5350/80000] lr: 1.340e-06, eta: 1 day, 13:37:38, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4819, decode.loss_mask: 0.9323, decode.loss_dice: 1.5395, decode.d0.loss_cls: 8.8243, decode.d0.loss_mask: 0.9004, decode.d0.loss_dice: 1.8670, decode.d1.loss_cls: 1.7690, decode.d1.loss_mask: 0.9281, decode.d1.loss_dice: 1.6051, decode.d2.loss_cls: 1.5764, decode.d2.loss_mask: 0.9302, decode.d2.loss_dice: 1.5617, decode.d3.loss_cls: 1.5308, decode.d3.loss_mask: 0.9322, decode.d3.loss_dice: 1.5478, decode.d4.loss_cls: 1.5049, decode.d4.loss_mask: 0.9326, decode.d4.loss_dice: 1.5533, decode.d5.loss_cls: 1.4912, decode.d5.loss_mask: 0.9315, decode.d5.loss_dice: 1.5481, decode.d6.loss_cls: 1.4819, decode.d6.loss_mask: 0.9264, decode.d6.loss_dice: 1.5366, decode.d7.loss_cls: 1.4731, decode.d7.loss_mask: 0.9294, decode.d7.loss_dice: 1.5421, decode.d8.loss_cls: 1.4683, decode.d8.loss_mask: 0.9344, decode.d8.loss_dice: 1.5445, loss: 47.7250 2022-04-28 23:03:25,371 - mmseg - INFO - Iter [5400/80000] lr: 1.339e-06, eta: 1 day, 13:36:09, time: 1.817, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4550, decode.loss_mask: 0.9000, decode.loss_dice: 1.5260, decode.d0.loss_cls: 8.8013, decode.d0.loss_mask: 0.8664, decode.d0.loss_dice: 1.8171, decode.d1.loss_cls: 1.7551, decode.d1.loss_mask: 0.8984, decode.d1.loss_dice: 1.5816, decode.d2.loss_cls: 1.5677, decode.d2.loss_mask: 0.8984, decode.d2.loss_dice: 1.5453, decode.d3.loss_cls: 1.5085, decode.d3.loss_mask: 0.9011, decode.d3.loss_dice: 1.5219, decode.d4.loss_cls: 1.4831, decode.d4.loss_mask: 0.9007, decode.d4.loss_dice: 1.5201, decode.d5.loss_cls: 1.4746, decode.d5.loss_mask: 0.9000, decode.d5.loss_dice: 1.5126, decode.d6.loss_cls: 1.4647, decode.d6.loss_mask: 0.8978, decode.d6.loss_dice: 1.5083, decode.d7.loss_cls: 1.4503, decode.d7.loss_mask: 0.8985, decode.d7.loss_dice: 1.5156, decode.d8.loss_cls: 1.4518, decode.d8.loss_mask: 0.8969, decode.d8.loss_dice: 1.5172, loss: 46.9359 2022-04-28 23:04:55,142 - mmseg - INFO - Iter [5450/80000] lr: 1.338e-06, eta: 1 day, 13:34:26, time: 1.796, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4325, decode.loss_mask: 0.9058, decode.loss_dice: 1.4819, decode.d0.loss_cls: 8.7641, decode.d0.loss_mask: 0.8808, decode.d0.loss_dice: 1.7835, decode.d1.loss_cls: 1.6997, decode.d1.loss_mask: 0.9214, decode.d1.loss_dice: 1.5451, decode.d2.loss_cls: 1.5240, decode.d2.loss_mask: 0.9142, decode.d2.loss_dice: 1.4984, decode.d3.loss_cls: 1.4696, decode.d3.loss_mask: 0.9175, decode.d3.loss_dice: 1.4849, decode.d4.loss_cls: 1.4494, decode.d4.loss_mask: 0.9101, decode.d4.loss_dice: 1.4810, decode.d5.loss_cls: 1.4358, decode.d5.loss_mask: 0.9104, decode.d5.loss_dice: 1.4750, decode.d6.loss_cls: 1.4299, decode.d6.loss_mask: 0.9095, decode.d6.loss_dice: 1.4672, decode.d7.loss_cls: 1.4258, decode.d7.loss_mask: 0.9124, decode.d7.loss_dice: 1.4724, decode.d8.loss_cls: 1.4207, decode.d8.loss_mask: 0.9035, decode.d8.loss_dice: 1.4734, loss: 46.3001 2022-04-28 23:06:23,533 - mmseg - INFO - Iter [5500/80000] lr: 1.337e-06, eta: 1 day, 13:32:24, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4423, decode.loss_mask: 0.9074, decode.loss_dice: 1.4721, decode.d0.loss_cls: 8.7446, decode.d0.loss_mask: 0.8745, decode.d0.loss_dice: 1.7854, decode.d1.loss_cls: 1.7093, decode.d1.loss_mask: 0.9041, decode.d1.loss_dice: 1.5528, decode.d2.loss_cls: 1.5386, decode.d2.loss_mask: 0.8974, decode.d2.loss_dice: 1.4954, decode.d3.loss_cls: 1.4951, decode.d3.loss_mask: 0.8947, decode.d3.loss_dice: 1.4794, decode.d4.loss_cls: 1.4681, decode.d4.loss_mask: 0.8998, decode.d4.loss_dice: 1.4792, decode.d5.loss_cls: 1.4518, decode.d5.loss_mask: 0.9028, decode.d5.loss_dice: 1.4719, decode.d6.loss_cls: 1.4431, decode.d6.loss_mask: 0.9033, decode.d6.loss_dice: 1.4665, decode.d7.loss_cls: 1.4336, decode.d7.loss_mask: 0.9036, decode.d7.loss_dice: 1.4614, decode.d8.loss_cls: 1.4253, decode.d8.loss_mask: 0.9062, decode.d8.loss_dice: 1.4684, loss: 46.2781 2022-04-28 23:07:53,394 - mmseg - INFO - Iter [5550/80000] lr: 1.336e-06, eta: 1 day, 13:30:42, time: 1.797, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4864, decode.loss_mask: 0.9398, decode.loss_dice: 1.5690, decode.d0.loss_cls: 8.7343, decode.d0.loss_mask: 0.9048, decode.d0.loss_dice: 1.8742, decode.d1.loss_cls: 1.7599, decode.d1.loss_mask: 0.9420, decode.d1.loss_dice: 1.6353, decode.d2.loss_cls: 1.5797, decode.d2.loss_mask: 0.9328, decode.d2.loss_dice: 1.5865, decode.d3.loss_cls: 1.5353, decode.d3.loss_mask: 0.9286, decode.d3.loss_dice: 1.5583, decode.d4.loss_cls: 1.5111, decode.d4.loss_mask: 0.9384, decode.d4.loss_dice: 1.5674, decode.d5.loss_cls: 1.5024, decode.d5.loss_mask: 0.9330, decode.d5.loss_dice: 1.5636, decode.d6.loss_cls: 1.4889, decode.d6.loss_mask: 0.9348, decode.d6.loss_dice: 1.5497, decode.d7.loss_cls: 1.4888, decode.d7.loss_mask: 0.9352, decode.d7.loss_dice: 1.5592, decode.d8.loss_cls: 1.4848, decode.d8.loss_mask: 0.9363, decode.d8.loss_dice: 1.5639, loss: 47.9241 2022-04-28 23:09:22,300 - mmseg - INFO - Iter [5600/80000] lr: 1.335e-06, eta: 1 day, 13:28:47, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 1.4531, decode.loss_mask: 0.9335, decode.loss_dice: 1.5034, decode.d0.loss_cls: 8.6892, decode.d0.loss_mask: 0.8899, decode.d0.loss_dice: 1.8077, decode.d1.loss_cls: 1.7005, decode.d1.loss_mask: 0.9237, decode.d1.loss_dice: 1.5721, decode.d2.loss_cls: 1.5184, decode.d2.loss_mask: 0.9293, decode.d2.loss_dice: 1.5305, decode.d3.loss_cls: 1.4774, decode.d3.loss_mask: 0.9236, decode.d3.loss_dice: 1.5059, decode.d4.loss_cls: 1.4591, decode.d4.loss_mask: 0.9255, decode.d4.loss_dice: 1.5011, decode.d5.loss_cls: 1.4489, decode.d5.loss_mask: 0.9238, decode.d5.loss_dice: 1.4992, decode.d6.loss_cls: 1.4455, decode.d6.loss_mask: 0.9261, decode.d6.loss_dice: 1.4969, decode.d7.loss_cls: 1.4409, decode.d7.loss_mask: 0.9211, decode.d7.loss_dice: 1.5019, decode.d8.loss_cls: 1.4351, decode.d8.loss_mask: 0.9270, decode.d8.loss_dice: 1.5024, loss: 46.7127 2022-04-28 23:10:50,362 - mmseg - INFO - Iter [5650/80000] lr: 1.334e-06, eta: 1 day, 13:26:42, time: 1.761, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4165, decode.loss_mask: 0.9385, decode.loss_dice: 1.4973, decode.d0.loss_cls: 8.6699, decode.d0.loss_mask: 0.9094, decode.d0.loss_dice: 1.8176, decode.d1.loss_cls: 1.6726, decode.d1.loss_mask: 0.9499, decode.d1.loss_dice: 1.5672, decode.d2.loss_cls: 1.5010, decode.d2.loss_mask: 0.9354, decode.d2.loss_dice: 1.5214, decode.d3.loss_cls: 1.4431, decode.d3.loss_mask: 0.9428, decode.d3.loss_dice: 1.5065, decode.d4.loss_cls: 1.4265, decode.d4.loss_mask: 0.9444, decode.d4.loss_dice: 1.5051, decode.d5.loss_cls: 1.4152, decode.d5.loss_mask: 0.9425, decode.d5.loss_dice: 1.4995, decode.d6.loss_cls: 1.4028, decode.d6.loss_mask: 0.9382, decode.d6.loss_dice: 1.4946, decode.d7.loss_cls: 1.4059, decode.d7.loss_mask: 0.9303, decode.d7.loss_dice: 1.4930, decode.d8.loss_cls: 1.4069, decode.d8.loss_mask: 0.9435, decode.d8.loss_dice: 1.4970, loss: 46.5346 2022-04-28 23:12:19,559 - mmseg - INFO - Iter [5700/80000] lr: 1.334e-06, eta: 1 day, 13:24:52, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 1.4645, decode.loss_mask: 0.9106, decode.loss_dice: 1.5308, decode.d0.loss_cls: 8.6482, decode.d0.loss_mask: 0.8887, decode.d0.loss_dice: 1.8433, decode.d1.loss_cls: 1.7323, decode.d1.loss_mask: 0.9126, decode.d1.loss_dice: 1.5976, decode.d2.loss_cls: 1.5445, decode.d2.loss_mask: 0.9147, decode.d2.loss_dice: 1.5566, decode.d3.loss_cls: 1.4955, decode.d3.loss_mask: 0.9123, decode.d3.loss_dice: 1.5336, decode.d4.loss_cls: 1.4812, decode.d4.loss_mask: 0.9117, decode.d4.loss_dice: 1.5340, decode.d5.loss_cls: 1.4565, decode.d5.loss_mask: 0.9098, decode.d5.loss_dice: 1.5318, decode.d6.loss_cls: 1.4557, decode.d6.loss_mask: 0.9089, decode.d6.loss_dice: 1.5166, decode.d7.loss_cls: 1.4515, decode.d7.loss_mask: 0.9151, decode.d7.loss_dice: 1.5179, decode.d8.loss_cls: 1.4560, decode.d8.loss_mask: 0.9118, decode.d8.loss_dice: 1.5205, loss: 46.9646 2022-04-28 23:13:48,476 - mmseg - INFO - Iter [5750/80000] lr: 1.333e-06, eta: 1 day, 13:22:59, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4315, decode.loss_mask: 0.9279, decode.loss_dice: 1.4780, decode.d0.loss_cls: 8.6094, decode.d0.loss_mask: 0.9003, decode.d0.loss_dice: 1.7924, decode.d1.loss_cls: 1.6819, decode.d1.loss_mask: 0.9356, decode.d1.loss_dice: 1.5593, decode.d2.loss_cls: 1.5077, decode.d2.loss_mask: 0.9354, decode.d2.loss_dice: 1.5140, decode.d3.loss_cls: 1.4573, decode.d3.loss_mask: 0.9318, decode.d3.loss_dice: 1.4956, decode.d4.loss_cls: 1.4504, decode.d4.loss_mask: 0.9257, decode.d4.loss_dice: 1.4949, decode.d5.loss_cls: 1.4310, decode.d5.loss_mask: 0.9300, decode.d5.loss_dice: 1.4872, decode.d6.loss_cls: 1.4191, decode.d6.loss_mask: 0.9365, decode.d6.loss_dice: 1.4838, decode.d7.loss_cls: 1.4195, decode.d7.loss_mask: 0.9317, decode.d7.loss_dice: 1.4856, decode.d8.loss_cls: 1.4272, decode.d8.loss_mask: 0.9279, decode.d8.loss_dice: 1.4833, loss: 46.3920 2022-04-28 23:15:17,369 - mmseg - INFO - Iter [5800/80000] lr: 1.332e-06, eta: 1 day, 13:21:07, time: 1.778, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4361, decode.loss_mask: 0.9287, decode.loss_dice: 1.4720, decode.d0.loss_cls: 8.5913, decode.d0.loss_mask: 0.8873, decode.d0.loss_dice: 1.7721, decode.d1.loss_cls: 1.6918, decode.d1.loss_mask: 0.9215, decode.d1.loss_dice: 1.5465, decode.d2.loss_cls: 1.5134, decode.d2.loss_mask: 0.9238, decode.d2.loss_dice: 1.4943, decode.d3.loss_cls: 1.4681, decode.d3.loss_mask: 0.9194, decode.d3.loss_dice: 1.4791, decode.d4.loss_cls: 1.4558, decode.d4.loss_mask: 0.9158, decode.d4.loss_dice: 1.4755, decode.d5.loss_cls: 1.4462, decode.d5.loss_mask: 0.9170, decode.d5.loss_dice: 1.4655, decode.d6.loss_cls: 1.4347, decode.d6.loss_mask: 0.9198, decode.d6.loss_dice: 1.4597, decode.d7.loss_cls: 1.4281, decode.d7.loss_mask: 0.9177, decode.d7.loss_dice: 1.4740, decode.d8.loss_cls: 1.4202, decode.d8.loss_mask: 0.9267, decode.d8.loss_dice: 1.4657, loss: 46.1675 2022-04-28 23:16:47,152 - mmseg - INFO - Iter [5850/80000] lr: 1.331e-06, eta: 1 day, 13:19:26, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 1.4264, decode.loss_mask: 0.8820, decode.loss_dice: 1.4687, decode.d0.loss_cls: 8.5631, decode.d0.loss_mask: 0.8603, decode.d0.loss_dice: 1.7900, decode.d1.loss_cls: 1.6786, decode.d1.loss_mask: 0.8842, decode.d1.loss_dice: 1.5342, decode.d2.loss_cls: 1.5038, decode.d2.loss_mask: 0.8803, decode.d2.loss_dice: 1.4968, decode.d3.loss_cls: 1.4677, decode.d3.loss_mask: 0.8828, decode.d3.loss_dice: 1.4698, decode.d4.loss_cls: 1.4520, decode.d4.loss_mask: 0.8765, decode.d4.loss_dice: 1.4670, decode.d5.loss_cls: 1.4331, decode.d5.loss_mask: 0.8815, decode.d5.loss_dice: 1.4657, decode.d6.loss_cls: 1.4361, decode.d6.loss_mask: 0.8829, decode.d6.loss_dice: 1.4536, decode.d7.loss_cls: 1.4234, decode.d7.loss_mask: 0.8760, decode.d7.loss_dice: 1.4664, decode.d8.loss_cls: 1.4207, decode.d8.loss_mask: 0.8828, decode.d8.loss_dice: 1.4651, loss: 45.6712 2022-04-28 23:18:15,926 - mmseg - INFO - Iter [5900/80000] lr: 1.330e-06, eta: 1 day, 13:17:32, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3920, decode.loss_mask: 0.9024, decode.loss_dice: 1.4800, decode.d0.loss_cls: 8.5347, decode.d0.loss_mask: 0.8703, decode.d0.loss_dice: 1.7712, decode.d1.loss_cls: 1.6471, decode.d1.loss_mask: 0.9058, decode.d1.loss_dice: 1.5402, decode.d2.loss_cls: 1.4776, decode.d2.loss_mask: 0.9051, decode.d2.loss_dice: 1.5049, decode.d3.loss_cls: 1.4337, decode.d3.loss_mask: 0.9031, decode.d3.loss_dice: 1.4861, decode.d4.loss_cls: 1.4080, decode.d4.loss_mask: 0.9002, decode.d4.loss_dice: 1.4871, decode.d5.loss_cls: 1.3988, decode.d5.loss_mask: 0.8987, decode.d5.loss_dice: 1.4750, decode.d6.loss_cls: 1.3944, decode.d6.loss_mask: 0.8971, decode.d6.loss_dice: 1.4728, decode.d7.loss_cls: 1.3970, decode.d7.loss_mask: 0.8938, decode.d7.loss_dice: 1.4774, decode.d8.loss_cls: 1.3864, decode.d8.loss_mask: 0.9002, decode.d8.loss_dice: 1.4758, loss: 45.6171 2022-04-28 23:19:44,501 - mmseg - INFO - Iter [5950/80000] lr: 1.329e-06, eta: 1 day, 13:15:36, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3453, decode.loss_mask: 0.8733, decode.loss_dice: 1.4159, decode.d0.loss_cls: 8.4859, decode.d0.loss_mask: 0.8549, decode.d0.loss_dice: 1.7067, decode.d1.loss_cls: 1.5651, decode.d1.loss_mask: 0.8858, decode.d1.loss_dice: 1.4780, decode.d2.loss_cls: 1.4050, decode.d2.loss_mask: 0.8787, decode.d2.loss_dice: 1.4418, decode.d3.loss_cls: 1.3659, decode.d3.loss_mask: 0.8841, decode.d3.loss_dice: 1.4094, decode.d4.loss_cls: 1.3498, decode.d4.loss_mask: 0.8766, decode.d4.loss_dice: 1.4152, decode.d5.loss_cls: 1.3346, decode.d5.loss_mask: 0.8710, decode.d5.loss_dice: 1.4046, decode.d6.loss_cls: 1.3343, decode.d6.loss_mask: 0.8702, decode.d6.loss_dice: 1.4019, decode.d7.loss_cls: 1.3301, decode.d7.loss_mask: 0.8776, decode.d7.loss_dice: 1.4119, decode.d8.loss_cls: 1.3311, decode.d8.loss_mask: 0.8732, decode.d8.loss_dice: 1.4094, loss: 44.0873 2022-04-28 23:21:13,683 - mmseg - INFO - Saving checkpoint at 6000 iterations 2022-04-28 23:21:32,254 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 23:21:32,256 - mmseg - INFO - Iter [6000/80000] lr: 1.328e-06, eta: 1 day, 13:17:36, time: 2.153, data_time: 0.016, memory: 64979, decode.loss_cls: 1.3778, decode.loss_mask: 0.8963, decode.loss_dice: 1.4830, decode.d0.loss_cls: 8.4766, decode.d0.loss_mask: 0.8810, decode.d0.loss_dice: 1.7722, decode.d1.loss_cls: 1.6228, decode.d1.loss_mask: 0.9152, decode.d1.loss_dice: 1.5564, decode.d2.loss_cls: 1.4518, decode.d2.loss_mask: 0.9004, decode.d2.loss_dice: 1.5064, decode.d3.loss_cls: 1.4099, decode.d3.loss_mask: 0.8969, decode.d3.loss_dice: 1.4813, decode.d4.loss_cls: 1.3928, decode.d4.loss_mask: 0.8972, decode.d4.loss_dice: 1.4747, decode.d5.loss_cls: 1.3798, decode.d5.loss_mask: 0.8988, decode.d5.loss_dice: 1.4763, decode.d6.loss_cls: 1.3749, decode.d6.loss_mask: 0.8994, decode.d6.loss_dice: 1.4755, decode.d7.loss_cls: 1.3683, decode.d7.loss_mask: 0.8926, decode.d7.loss_dice: 1.4817, decode.d8.loss_cls: 1.3769, decode.d8.loss_mask: 0.8940, decode.d8.loss_dice: 1.4714, loss: 45.3823 2022-04-28 23:23:02,095 - mmseg - INFO - Iter [6050/80000] lr: 1.327e-06, eta: 1 day, 13:15:56, time: 1.800, data_time: 0.017, memory: 64979, decode.loss_cls: 1.3827, decode.loss_mask: 0.9118, decode.loss_dice: 1.4551, decode.d0.loss_cls: 8.4448, decode.d0.loss_mask: 0.8849, decode.d0.loss_dice: 1.7621, decode.d1.loss_cls: 1.6183, decode.d1.loss_mask: 0.9126, decode.d1.loss_dice: 1.5261, decode.d2.loss_cls: 1.4546, decode.d2.loss_mask: 0.9086, decode.d2.loss_dice: 1.4816, decode.d3.loss_cls: 1.4136, decode.d3.loss_mask: 0.9095, decode.d3.loss_dice: 1.4688, decode.d4.loss_cls: 1.3949, decode.d4.loss_mask: 0.9114, decode.d4.loss_dice: 1.4827, decode.d5.loss_cls: 1.3919, decode.d5.loss_mask: 0.9059, decode.d5.loss_dice: 1.4596, decode.d6.loss_cls: 1.3786, decode.d6.loss_mask: 0.9080, decode.d6.loss_dice: 1.4516, decode.d7.loss_cls: 1.3783, decode.d7.loss_mask: 0.9125, decode.d7.loss_dice: 1.4555, decode.d8.loss_cls: 1.3721, decode.d8.loss_mask: 0.9159, decode.d8.loss_dice: 1.4511, loss: 45.3052 2022-04-28 23:24:31,331 - mmseg - INFO - Iter [6100/80000] lr: 1.326e-06, eta: 1 day, 13:14:08, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3967, decode.loss_mask: 0.9055, decode.loss_dice: 1.4712, decode.d0.loss_cls: 8.4293, decode.d0.loss_mask: 0.8707, decode.d0.loss_dice: 1.7711, decode.d1.loss_cls: 1.6434, decode.d1.loss_mask: 0.9082, decode.d1.loss_dice: 1.5332, decode.d2.loss_cls: 1.4710, decode.d2.loss_mask: 0.9076, decode.d2.loss_dice: 1.5023, decode.d3.loss_cls: 1.4322, decode.d3.loss_mask: 0.9060, decode.d3.loss_dice: 1.4751, decode.d4.loss_cls: 1.4155, decode.d4.loss_mask: 0.9022, decode.d4.loss_dice: 1.4760, decode.d5.loss_cls: 1.4064, decode.d5.loss_mask: 0.9014, decode.d5.loss_dice: 1.4640, decode.d6.loss_cls: 1.3999, decode.d6.loss_mask: 0.9023, decode.d6.loss_dice: 1.4617, decode.d7.loss_cls: 1.3993, decode.d7.loss_mask: 0.9057, decode.d7.loss_dice: 1.4671, decode.d8.loss_cls: 1.3895, decode.d8.loss_mask: 0.9067, decode.d8.loss_dice: 1.4743, loss: 45.4956 2022-04-28 23:26:00,479 - mmseg - INFO - Iter [6150/80000] lr: 1.325e-06, eta: 1 day, 13:12:18, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3852, decode.loss_mask: 0.9316, decode.loss_dice: 1.4856, decode.d0.loss_cls: 8.3853, decode.d0.loss_mask: 0.9029, decode.d0.loss_dice: 1.7622, decode.d1.loss_cls: 1.6016, decode.d1.loss_mask: 0.9398, decode.d1.loss_dice: 1.5510, decode.d2.loss_cls: 1.4445, decode.d2.loss_mask: 0.9307, decode.d2.loss_dice: 1.5122, decode.d3.loss_cls: 1.4104, decode.d3.loss_mask: 0.9343, decode.d3.loss_dice: 1.4953, decode.d4.loss_cls: 1.3889, decode.d4.loss_mask: 0.9348, decode.d4.loss_dice: 1.4855, decode.d5.loss_cls: 1.3833, decode.d5.loss_mask: 0.9365, decode.d5.loss_dice: 1.4774, decode.d6.loss_cls: 1.3764, decode.d6.loss_mask: 0.9393, decode.d6.loss_dice: 1.4774, decode.d7.loss_cls: 1.3758, decode.d7.loss_mask: 0.9387, decode.d7.loss_dice: 1.4906, decode.d8.loss_cls: 1.3680, decode.d8.loss_mask: 0.9407, decode.d8.loss_dice: 1.4846, loss: 45.6707 2022-04-28 23:27:28,602 - mmseg - INFO - Iter [6200/80000] lr: 1.325e-06, eta: 1 day, 13:10:17, time: 1.761, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4066, decode.loss_mask: 0.9138, decode.loss_dice: 1.4559, decode.d0.loss_cls: 8.3693, decode.d0.loss_mask: 0.8996, decode.d0.loss_dice: 1.7728, decode.d1.loss_cls: 1.6375, decode.d1.loss_mask: 0.9234, decode.d1.loss_dice: 1.5328, decode.d2.loss_cls: 1.4717, decode.d2.loss_mask: 0.9230, decode.d2.loss_dice: 1.4867, decode.d3.loss_cls: 1.4261, decode.d3.loss_mask: 0.9231, decode.d3.loss_dice: 1.4715, decode.d4.loss_cls: 1.4077, decode.d4.loss_mask: 0.9192, decode.d4.loss_dice: 1.4700, decode.d5.loss_cls: 1.3953, decode.d5.loss_mask: 0.9131, decode.d5.loss_dice: 1.4575, decode.d6.loss_cls: 1.3961, decode.d6.loss_mask: 0.9160, decode.d6.loss_dice: 1.4489, decode.d7.loss_cls: 1.3958, decode.d7.loss_mask: 0.9173, decode.d7.loss_dice: 1.4558, decode.d8.loss_cls: 1.3921, decode.d8.loss_mask: 0.9155, decode.d8.loss_dice: 1.4561, loss: 45.4703 2022-04-28 23:28:57,757 - mmseg - INFO - Iter [6250/80000] lr: 1.324e-06, eta: 1 day, 13:08:29, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 1.4152, decode.loss_mask: 0.9260, decode.loss_dice: 1.4714, decode.d0.loss_cls: 8.3496, decode.d0.loss_mask: 0.8953, decode.d0.loss_dice: 1.7765, decode.d1.loss_cls: 1.6396, decode.d1.loss_mask: 0.9235, decode.d1.loss_dice: 1.5394, decode.d2.loss_cls: 1.4711, decode.d2.loss_mask: 0.9233, decode.d2.loss_dice: 1.4955, decode.d3.loss_cls: 1.4294, decode.d3.loss_mask: 0.9249, decode.d3.loss_dice: 1.4764, decode.d4.loss_cls: 1.4254, decode.d4.loss_mask: 0.9192, decode.d4.loss_dice: 1.4798, decode.d5.loss_cls: 1.4133, decode.d5.loss_mask: 0.9215, decode.d5.loss_dice: 1.4720, decode.d6.loss_cls: 1.4076, decode.d6.loss_mask: 0.9222, decode.d6.loss_dice: 1.4692, decode.d7.loss_cls: 1.4025, decode.d7.loss_mask: 0.9198, decode.d7.loss_dice: 1.4706, decode.d8.loss_cls: 1.4019, decode.d8.loss_mask: 0.9264, decode.d8.loss_dice: 1.4734, loss: 45.6823 2022-04-28 23:30:25,440 - mmseg - INFO - Iter [6300/80000] lr: 1.323e-06, eta: 1 day, 13:06:23, time: 1.754, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3585, decode.loss_mask: 0.8940, decode.loss_dice: 1.4742, decode.d0.loss_cls: 8.2987, decode.d0.loss_mask: 0.8625, decode.d0.loss_dice: 1.7613, decode.d1.loss_cls: 1.5890, decode.d1.loss_mask: 0.9010, decode.d1.loss_dice: 1.5303, decode.d2.loss_cls: 1.4287, decode.d2.loss_mask: 0.9007, decode.d2.loss_dice: 1.4939, decode.d3.loss_cls: 1.3955, decode.d3.loss_mask: 0.8995, decode.d3.loss_dice: 1.4699, decode.d4.loss_cls: 1.3717, decode.d4.loss_mask: 0.8942, decode.d4.loss_dice: 1.4653, decode.d5.loss_cls: 1.3603, decode.d5.loss_mask: 0.8893, decode.d5.loss_dice: 1.4665, decode.d6.loss_cls: 1.3551, decode.d6.loss_mask: 0.8958, decode.d6.loss_dice: 1.4546, decode.d7.loss_cls: 1.3493, decode.d7.loss_mask: 0.8969, decode.d7.loss_dice: 1.4623, decode.d8.loss_cls: 1.3509, decode.d8.loss_mask: 0.8906, decode.d8.loss_dice: 1.4638, loss: 44.8243 2022-04-28 23:31:55,987 - mmseg - INFO - Iter [6350/80000] lr: 1.322e-06, eta: 1 day, 13:04:52, time: 1.811, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3639, decode.loss_mask: 0.8998, decode.loss_dice: 1.4622, decode.d0.loss_cls: 8.2845, decode.d0.loss_mask: 0.8829, decode.d0.loss_dice: 1.7645, decode.d1.loss_cls: 1.5872, decode.d1.loss_mask: 0.9125, decode.d1.loss_dice: 1.5402, decode.d2.loss_cls: 1.4213, decode.d2.loss_mask: 0.9122, decode.d2.loss_dice: 1.4897, decode.d3.loss_cls: 1.3805, decode.d3.loss_mask: 0.9107, decode.d3.loss_dice: 1.4741, decode.d4.loss_cls: 1.3704, decode.d4.loss_mask: 0.9108, decode.d4.loss_dice: 1.4692, decode.d5.loss_cls: 1.3586, decode.d5.loss_mask: 0.9057, decode.d5.loss_dice: 1.4683, decode.d6.loss_cls: 1.3507, decode.d6.loss_mask: 0.9081, decode.d6.loss_dice: 1.4633, decode.d7.loss_cls: 1.3515, decode.d7.loss_mask: 0.8978, decode.d7.loss_dice: 1.4688, decode.d8.loss_cls: 1.3442, decode.d8.loss_mask: 0.9135, decode.d8.loss_dice: 1.4651, loss: 44.9323 2022-04-28 23:33:26,030 - mmseg - INFO - Iter [6400/80000] lr: 1.321e-06, eta: 1 day, 13:03:14, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 1.3364, decode.loss_mask: 0.9012, decode.loss_dice: 1.4813, decode.d0.loss_cls: 8.2476, decode.d0.loss_mask: 0.8736, decode.d0.loss_dice: 1.7692, decode.d1.loss_cls: 1.5592, decode.d1.loss_mask: 0.9109, decode.d1.loss_dice: 1.5477, decode.d2.loss_cls: 1.4084, decode.d2.loss_mask: 0.9018, decode.d2.loss_dice: 1.5063, decode.d3.loss_cls: 1.3603, decode.d3.loss_mask: 0.9005, decode.d3.loss_dice: 1.4937, decode.d4.loss_cls: 1.3506, decode.d4.loss_mask: 0.9012, decode.d4.loss_dice: 1.4894, decode.d5.loss_cls: 1.3380, decode.d5.loss_mask: 0.8998, decode.d5.loss_dice: 1.4841, decode.d6.loss_cls: 1.3293, decode.d6.loss_mask: 0.9000, decode.d6.loss_dice: 1.4751, decode.d7.loss_cls: 1.3280, decode.d7.loss_mask: 0.8955, decode.d7.loss_dice: 1.4821, decode.d8.loss_cls: 1.3238, decode.d8.loss_mask: 0.9042, decode.d8.loss_dice: 1.4806, loss: 44.7799 2022-04-28 23:34:55,765 - mmseg - INFO - Iter [6450/80000] lr: 1.320e-06, eta: 1 day, 13:01:34, time: 1.795, data_time: 0.016, memory: 64979, decode.loss_cls: 1.3550, decode.loss_mask: 0.9113, decode.loss_dice: 1.4661, decode.d0.loss_cls: 8.2275, decode.d0.loss_mask: 0.8764, decode.d0.loss_dice: 1.7701, decode.d1.loss_cls: 1.5569, decode.d1.loss_mask: 0.9193, decode.d1.loss_dice: 1.5458, decode.d2.loss_cls: 1.4121, decode.d2.loss_mask: 0.9099, decode.d2.loss_dice: 1.4967, decode.d3.loss_cls: 1.3740, decode.d3.loss_mask: 0.9047, decode.d3.loss_dice: 1.4716, decode.d4.loss_cls: 1.3555, decode.d4.loss_mask: 0.9038, decode.d4.loss_dice: 1.4739, decode.d5.loss_cls: 1.3492, decode.d5.loss_mask: 0.9044, decode.d5.loss_dice: 1.4733, decode.d6.loss_cls: 1.3395, decode.d6.loss_mask: 0.9068, decode.d6.loss_dice: 1.4623, decode.d7.loss_cls: 1.3412, decode.d7.loss_mask: 0.9050, decode.d7.loss_dice: 1.4743, decode.d8.loss_cls: 1.3460, decode.d8.loss_mask: 0.9122, decode.d8.loss_dice: 1.4775, loss: 44.8223 2022-04-28 23:36:25,102 - mmseg - INFO - Iter [6500/80000] lr: 1.319e-06, eta: 1 day, 12:59:48, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 1.3358, decode.loss_mask: 0.9207, decode.loss_dice: 1.4528, decode.d0.loss_cls: 8.1860, decode.d0.loss_mask: 0.9018, decode.d0.loss_dice: 1.7370, decode.d1.loss_cls: 1.5474, decode.d1.loss_mask: 0.9402, decode.d1.loss_dice: 1.5206, decode.d2.loss_cls: 1.4025, decode.d2.loss_mask: 0.9278, decode.d2.loss_dice: 1.4745, decode.d3.loss_cls: 1.3643, decode.d3.loss_mask: 0.9180, decode.d3.loss_dice: 1.4566, decode.d4.loss_cls: 1.3468, decode.d4.loss_mask: 0.9161, decode.d4.loss_dice: 1.4531, decode.d5.loss_cls: 1.3377, decode.d5.loss_mask: 0.9207, decode.d5.loss_dice: 1.4499, decode.d6.loss_cls: 1.3325, decode.d6.loss_mask: 0.9146, decode.d6.loss_dice: 1.4392, decode.d7.loss_cls: 1.3331, decode.d7.loss_mask: 0.9240, decode.d7.loss_dice: 1.4448, decode.d8.loss_cls: 1.3172, decode.d8.loss_mask: 0.9251, decode.d8.loss_dice: 1.4490, loss: 44.5898 2022-04-28 23:37:54,515 - mmseg - INFO - Iter [6550/80000] lr: 1.318e-06, eta: 1 day, 12:58:05, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3519, decode.loss_mask: 0.8991, decode.loss_dice: 1.4465, decode.d0.loss_cls: 8.1718, decode.d0.loss_mask: 0.8801, decode.d0.loss_dice: 1.7570, decode.d1.loss_cls: 1.5697, decode.d1.loss_mask: 0.9138, decode.d1.loss_dice: 1.5115, decode.d2.loss_cls: 1.4152, decode.d2.loss_mask: 0.9077, decode.d2.loss_dice: 1.4650, decode.d3.loss_cls: 1.3803, decode.d3.loss_mask: 0.9038, decode.d3.loss_dice: 1.4552, decode.d4.loss_cls: 1.3591, decode.d4.loss_mask: 0.9094, decode.d4.loss_dice: 1.4380, decode.d5.loss_cls: 1.3419, decode.d5.loss_mask: 0.9078, decode.d5.loss_dice: 1.4486, decode.d6.loss_cls: 1.3379, decode.d6.loss_mask: 0.9066, decode.d6.loss_dice: 1.4434, decode.d7.loss_cls: 1.3351, decode.d7.loss_mask: 0.9026, decode.d7.loss_dice: 1.4447, decode.d8.loss_cls: 1.3301, decode.d8.loss_mask: 0.9055, decode.d8.loss_dice: 1.4439, loss: 44.4832 2022-04-28 23:39:23,636 - mmseg - INFO - Iter [6600/80000] lr: 1.317e-06, eta: 1 day, 12:56:18, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3214, decode.loss_mask: 0.8975, decode.loss_dice: 1.4414, decode.d0.loss_cls: 8.1291, decode.d0.loss_mask: 0.8676, decode.d0.loss_dice: 1.7476, decode.d1.loss_cls: 1.5487, decode.d1.loss_mask: 0.8906, decode.d1.loss_dice: 1.5068, decode.d2.loss_cls: 1.3894, decode.d2.loss_mask: 0.8965, decode.d2.loss_dice: 1.4708, decode.d3.loss_cls: 1.3526, decode.d3.loss_mask: 0.8965, decode.d3.loss_dice: 1.4511, decode.d4.loss_cls: 1.3388, decode.d4.loss_mask: 0.8903, decode.d4.loss_dice: 1.4534, decode.d5.loss_cls: 1.3337, decode.d5.loss_mask: 0.8809, decode.d5.loss_dice: 1.4451, decode.d6.loss_cls: 1.3219, decode.d6.loss_mask: 0.8890, decode.d6.loss_dice: 1.4319, decode.d7.loss_cls: 1.3166, decode.d7.loss_mask: 0.8878, decode.d7.loss_dice: 1.4328, decode.d8.loss_cls: 1.3131, decode.d8.loss_mask: 0.8926, decode.d8.loss_dice: 1.4389, loss: 44.0744 2022-04-28 23:40:52,042 - mmseg - INFO - Iter [6650/80000] lr: 1.316e-06, eta: 1 day, 12:54:23, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3308, decode.loss_mask: 0.8795, decode.loss_dice: 1.4599, decode.d0.loss_cls: 8.0952, decode.d0.loss_mask: 0.8478, decode.d0.loss_dice: 1.7482, decode.d1.loss_cls: 1.5420, decode.d1.loss_mask: 0.8799, decode.d1.loss_dice: 1.5389, decode.d2.loss_cls: 1.3993, decode.d2.loss_mask: 0.8753, decode.d2.loss_dice: 1.4882, decode.d3.loss_cls: 1.3583, decode.d3.loss_mask: 0.8821, decode.d3.loss_dice: 1.4766, decode.d4.loss_cls: 1.3437, decode.d4.loss_mask: 0.8799, decode.d4.loss_dice: 1.4705, decode.d5.loss_cls: 1.3352, decode.d5.loss_mask: 0.8788, decode.d5.loss_dice: 1.4662, decode.d6.loss_cls: 1.3377, decode.d6.loss_mask: 0.8794, decode.d6.loss_dice: 1.4503, decode.d7.loss_cls: 1.3262, decode.d7.loss_mask: 0.8788, decode.d7.loss_dice: 1.4531, decode.d8.loss_cls: 1.3196, decode.d8.loss_mask: 0.8807, decode.d8.loss_dice: 1.4593, loss: 44.1615 2022-04-28 23:42:20,914 - mmseg - INFO - Iter [6700/80000] lr: 1.316e-06, eta: 1 day, 12:52:34, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2764, decode.loss_mask: 0.8805, decode.loss_dice: 1.4281, decode.d0.loss_cls: 8.0663, decode.d0.loss_mask: 0.8483, decode.d0.loss_dice: 1.6958, decode.d1.loss_cls: 1.4889, decode.d1.loss_mask: 0.9013, decode.d1.loss_dice: 1.4955, decode.d2.loss_cls: 1.3391, decode.d2.loss_mask: 0.8904, decode.d2.loss_dice: 1.4564, decode.d3.loss_cls: 1.3061, decode.d3.loss_mask: 0.8803, decode.d3.loss_dice: 1.4332, decode.d4.loss_cls: 1.2914, decode.d4.loss_mask: 0.8862, decode.d4.loss_dice: 1.4291, decode.d5.loss_cls: 1.2731, decode.d5.loss_mask: 0.8812, decode.d5.loss_dice: 1.4358, decode.d6.loss_cls: 1.2698, decode.d6.loss_mask: 0.8826, decode.d6.loss_dice: 1.4213, decode.d7.loss_cls: 1.2703, decode.d7.loss_mask: 0.8786, decode.d7.loss_dice: 1.4246, decode.d8.loss_cls: 1.2691, decode.d8.loss_mask: 0.8817, decode.d8.loss_dice: 1.4264, loss: 43.3080 2022-04-28 23:43:49,120 - mmseg - INFO - Iter [6750/80000] lr: 1.315e-06, eta: 1 day, 12:50:38, time: 1.764, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3196, decode.loss_mask: 0.9057, decode.loss_dice: 1.4802, decode.d0.loss_cls: 8.0560, decode.d0.loss_mask: 0.8718, decode.d0.loss_dice: 1.7632, decode.d1.loss_cls: 1.5158, decode.d1.loss_mask: 0.9077, decode.d1.loss_dice: 1.5408, decode.d2.loss_cls: 1.3785, decode.d2.loss_mask: 0.9096, decode.d2.loss_dice: 1.5036, decode.d3.loss_cls: 1.3432, decode.d3.loss_mask: 0.9060, decode.d3.loss_dice: 1.4823, decode.d4.loss_cls: 1.3296, decode.d4.loss_mask: 0.9074, decode.d4.loss_dice: 1.4808, decode.d5.loss_cls: 1.3193, decode.d5.loss_mask: 0.8984, decode.d5.loss_dice: 1.4735, decode.d6.loss_cls: 1.3157, decode.d6.loss_mask: 0.9051, decode.d6.loss_dice: 1.4621, decode.d7.loss_cls: 1.3070, decode.d7.loss_mask: 0.9019, decode.d7.loss_dice: 1.4738, decode.d8.loss_cls: 1.3029, decode.d8.loss_mask: 0.9001, decode.d8.loss_dice: 1.4708, loss: 44.3326 2022-04-28 23:45:18,595 - mmseg - INFO - Iter [6800/80000] lr: 1.314e-06, eta: 1 day, 12:48:56, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2904, decode.loss_mask: 0.8946, decode.loss_dice: 1.4387, decode.d0.loss_cls: 8.0020, decode.d0.loss_mask: 0.8616, decode.d0.loss_dice: 1.7241, decode.d1.loss_cls: 1.4780, decode.d1.loss_mask: 0.9120, decode.d1.loss_dice: 1.5061, decode.d2.loss_cls: 1.3447, decode.d2.loss_mask: 0.9020, decode.d2.loss_dice: 1.4697, decode.d3.loss_cls: 1.3060, decode.d3.loss_mask: 0.9001, decode.d3.loss_dice: 1.4402, decode.d4.loss_cls: 1.2993, decode.d4.loss_mask: 0.8934, decode.d4.loss_dice: 1.4404, decode.d5.loss_cls: 1.2850, decode.d5.loss_mask: 0.8972, decode.d5.loss_dice: 1.4468, decode.d6.loss_cls: 1.2864, decode.d6.loss_mask: 0.8952, decode.d6.loss_dice: 1.4363, decode.d7.loss_cls: 1.2758, decode.d7.loss_mask: 0.9002, decode.d7.loss_dice: 1.4366, decode.d8.loss_cls: 1.2740, decode.d8.loss_mask: 0.8974, decode.d8.loss_dice: 1.4354, loss: 43.5695 2022-04-28 23:46:47,125 - mmseg - INFO - Iter [6850/80000] lr: 1.313e-06, eta: 1 day, 12:47:04, time: 1.771, data_time: 0.017, memory: 64979, decode.loss_cls: 1.3383, decode.loss_mask: 0.8884, decode.loss_dice: 1.4444, decode.d0.loss_cls: 8.0073, decode.d0.loss_mask: 0.8532, decode.d0.loss_dice: 1.7273, decode.d1.loss_cls: 1.5440, decode.d1.loss_mask: 0.8884, decode.d1.loss_dice: 1.5191, decode.d2.loss_cls: 1.3916, decode.d2.loss_mask: 0.8839, decode.d2.loss_dice: 1.4638, decode.d3.loss_cls: 1.3469, decode.d3.loss_mask: 0.8887, decode.d3.loss_dice: 1.4515, decode.d4.loss_cls: 1.3369, decode.d4.loss_mask: 0.8847, decode.d4.loss_dice: 1.4526, decode.d5.loss_cls: 1.3269, decode.d5.loss_mask: 0.8890, decode.d5.loss_dice: 1.4346, decode.d6.loss_cls: 1.3258, decode.d6.loss_mask: 0.8848, decode.d6.loss_dice: 1.4313, decode.d7.loss_cls: 1.3277, decode.d7.loss_mask: 0.8794, decode.d7.loss_dice: 1.4413, decode.d8.loss_cls: 1.3219, decode.d8.loss_mask: 0.8841, decode.d8.loss_dice: 1.4432, loss: 43.9011 2022-04-28 23:48:17,080 - mmseg - INFO - Iter [6900/80000] lr: 1.312e-06, eta: 1 day, 12:45:28, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2972, decode.loss_mask: 0.9144, decode.loss_dice: 1.4462, decode.d0.loss_cls: 7.9733, decode.d0.loss_mask: 0.8885, decode.d0.loss_dice: 1.7632, decode.d1.loss_cls: 1.4983, decode.d1.loss_mask: 0.9278, decode.d1.loss_dice: 1.5253, decode.d2.loss_cls: 1.3470, decode.d2.loss_mask: 0.9235, decode.d2.loss_dice: 1.4850, decode.d3.loss_cls: 1.3123, decode.d3.loss_mask: 0.9177, decode.d3.loss_dice: 1.4698, decode.d4.loss_cls: 1.2986, decode.d4.loss_mask: 0.9149, decode.d4.loss_dice: 1.4642, decode.d5.loss_cls: 1.2943, decode.d5.loss_mask: 0.9142, decode.d5.loss_dice: 1.4503, decode.d6.loss_cls: 1.2903, decode.d6.loss_mask: 0.9109, decode.d6.loss_dice: 1.4394, decode.d7.loss_cls: 1.2867, decode.d7.loss_mask: 0.9110, decode.d7.loss_dice: 1.4481, decode.d8.loss_cls: 1.2883, decode.d8.loss_mask: 0.9117, decode.d8.loss_dice: 1.4486, loss: 43.9609 2022-04-28 23:49:46,324 - mmseg - INFO - Iter [6950/80000] lr: 1.311e-06, eta: 1 day, 12:43:44, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2911, decode.loss_mask: 0.9110, decode.loss_dice: 1.4584, decode.d0.loss_cls: 7.9297, decode.d0.loss_mask: 0.8755, decode.d0.loss_dice: 1.7513, decode.d1.loss_cls: 1.4986, decode.d1.loss_mask: 0.9111, decode.d1.loss_dice: 1.5371, decode.d2.loss_cls: 1.3413, decode.d2.loss_mask: 0.9151, decode.d2.loss_dice: 1.4937, decode.d3.loss_cls: 1.3133, decode.d3.loss_mask: 0.9135, decode.d3.loss_dice: 1.4750, decode.d4.loss_cls: 1.3049, decode.d4.loss_mask: 0.9066, decode.d4.loss_dice: 1.4681, decode.d5.loss_cls: 1.2929, decode.d5.loss_mask: 0.9100, decode.d5.loss_dice: 1.4572, decode.d6.loss_cls: 1.2895, decode.d6.loss_mask: 0.9140, decode.d6.loss_dice: 1.4490, decode.d7.loss_cls: 1.2832, decode.d7.loss_mask: 0.9079, decode.d7.loss_dice: 1.4577, decode.d8.loss_cls: 1.2801, decode.d8.loss_mask: 0.9051, decode.d8.loss_dice: 1.4503, loss: 43.8928 2022-04-28 23:51:15,870 - mmseg - INFO - Saving checkpoint at 7000 iterations 2022-04-28 23:51:36,219 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-28 23:51:36,222 - mmseg - INFO - Iter [7000/80000] lr: 1.310e-06, eta: 1 day, 12:45:34, time: 2.196, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2765, decode.loss_mask: 0.8880, decode.loss_dice: 1.3920, decode.d0.loss_cls: 7.9009, decode.d0.loss_mask: 0.8502, decode.d0.loss_dice: 1.6822, decode.d1.loss_cls: 1.4931, decode.d1.loss_mask: 0.8903, decode.d1.loss_dice: 1.4723, decode.d2.loss_cls: 1.3376, decode.d2.loss_mask: 0.8903, decode.d2.loss_dice: 1.4315, decode.d3.loss_cls: 1.3068, decode.d3.loss_mask: 0.8856, decode.d3.loss_dice: 1.3994, decode.d4.loss_cls: 1.2919, decode.d4.loss_mask: 0.8867, decode.d4.loss_dice: 1.4067, decode.d5.loss_cls: 1.2806, decode.d5.loss_mask: 0.8861, decode.d5.loss_dice: 1.4015, decode.d6.loss_cls: 1.2786, decode.d6.loss_mask: 0.8820, decode.d6.loss_dice: 1.3887, decode.d7.loss_cls: 1.2725, decode.d7.loss_mask: 0.8768, decode.d7.loss_dice: 1.3949, decode.d8.loss_cls: 1.2632, decode.d8.loss_mask: 0.8897, decode.d8.loss_dice: 1.3933, loss: 42.8897 2022-04-28 23:53:05,922 - mmseg - INFO - Iter [7050/80000] lr: 1.309e-06, eta: 1 day, 12:43:55, time: 1.796, data_time: 0.016, memory: 64979, decode.loss_cls: 1.3007, decode.loss_mask: 0.8940, decode.loss_dice: 1.4406, decode.d0.loss_cls: 7.8734, decode.d0.loss_mask: 0.8658, decode.d0.loss_dice: 1.7200, decode.d1.loss_cls: 1.4887, decode.d1.loss_mask: 0.9034, decode.d1.loss_dice: 1.5073, decode.d2.loss_cls: 1.3624, decode.d2.loss_mask: 0.8882, decode.d2.loss_dice: 1.4676, decode.d3.loss_cls: 1.3128, decode.d3.loss_mask: 0.8893, decode.d3.loss_dice: 1.4456, decode.d4.loss_cls: 1.3067, decode.d4.loss_mask: 0.8839, decode.d4.loss_dice: 1.4448, decode.d5.loss_cls: 1.2918, decode.d5.loss_mask: 0.8914, decode.d5.loss_dice: 1.4399, decode.d6.loss_cls: 1.2910, decode.d6.loss_mask: 0.8895, decode.d6.loss_dice: 1.4261, decode.d7.loss_cls: 1.2867, decode.d7.loss_mask: 0.8893, decode.d7.loss_dice: 1.4379, decode.d8.loss_cls: 1.2895, decode.d8.loss_mask: 0.8914, decode.d8.loss_dice: 1.4366, loss: 43.4562 2022-04-28 23:54:35,015 - mmseg - INFO - Iter [7100/80000] lr: 1.308e-06, eta: 1 day, 12:42:08, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 1.3123, decode.loss_mask: 0.9011, decode.loss_dice: 1.4843, decode.d0.loss_cls: 7.8574, decode.d0.loss_mask: 0.8698, decode.d0.loss_dice: 1.7566, decode.d1.loss_cls: 1.5016, decode.d1.loss_mask: 0.9025, decode.d1.loss_dice: 1.5470, decode.d2.loss_cls: 1.3540, decode.d2.loss_mask: 0.9009, decode.d2.loss_dice: 1.5047, decode.d3.loss_cls: 1.3275, decode.d3.loss_mask: 0.8999, decode.d3.loss_dice: 1.4755, decode.d4.loss_cls: 1.3223, decode.d4.loss_mask: 0.8971, decode.d4.loss_dice: 1.4708, decode.d5.loss_cls: 1.3132, decode.d5.loss_mask: 0.9013, decode.d5.loss_dice: 1.4810, decode.d6.loss_cls: 1.3139, decode.d6.loss_mask: 0.9002, decode.d6.loss_dice: 1.4666, decode.d7.loss_cls: 1.3095, decode.d7.loss_mask: 0.8987, decode.d7.loss_dice: 1.4804, decode.d8.loss_cls: 1.3024, decode.d8.loss_mask: 0.8972, decode.d8.loss_dice: 1.4805, loss: 44.0301 2022-04-28 23:56:04,489 - mmseg - INFO - Iter [7150/80000] lr: 1.307e-06, eta: 1 day, 12:40:26, time: 1.789, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2756, decode.loss_mask: 0.9180, decode.loss_dice: 1.4090, decode.d0.loss_cls: 7.8048, decode.d0.loss_mask: 0.8879, decode.d0.loss_dice: 1.7034, decode.d1.loss_cls: 1.4708, decode.d1.loss_mask: 0.9104, decode.d1.loss_dice: 1.4898, decode.d2.loss_cls: 1.3371, decode.d2.loss_mask: 0.9101, decode.d2.loss_dice: 1.4425, decode.d3.loss_cls: 1.2973, decode.d3.loss_mask: 0.9170, decode.d3.loss_dice: 1.4321, decode.d4.loss_cls: 1.2873, decode.d4.loss_mask: 0.9177, decode.d4.loss_dice: 1.4192, decode.d5.loss_cls: 1.2708, decode.d5.loss_mask: 0.9149, decode.d5.loss_dice: 1.4175, decode.d6.loss_cls: 1.2756, decode.d6.loss_mask: 0.9189, decode.d6.loss_dice: 1.4184, decode.d7.loss_cls: 1.2685, decode.d7.loss_mask: 0.9179, decode.d7.loss_dice: 1.4132, decode.d8.loss_cls: 1.2694, decode.d8.loss_mask: 0.9177, decode.d8.loss_dice: 1.4186, loss: 43.2514 2022-04-28 23:57:34,068 - mmseg - INFO - Iter [7200/80000] lr: 1.307e-06, eta: 1 day, 12:38:45, time: 1.793, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2734, decode.loss_mask: 0.9349, decode.loss_dice: 1.4580, decode.d0.loss_cls: 7.7867, decode.d0.loss_mask: 0.8920, decode.d0.loss_dice: 1.7327, decode.d1.loss_cls: 1.4763, decode.d1.loss_mask: 0.9438, decode.d1.loss_dice: 1.5220, decode.d2.loss_cls: 1.3162, decode.d2.loss_mask: 0.9345, decode.d2.loss_dice: 1.4789, decode.d3.loss_cls: 1.2897, decode.d3.loss_mask: 0.9365, decode.d3.loss_dice: 1.4681, decode.d4.loss_cls: 1.2751, decode.d4.loss_mask: 0.9363, decode.d4.loss_dice: 1.4645, decode.d5.loss_cls: 1.2681, decode.d5.loss_mask: 0.9325, decode.d5.loss_dice: 1.4682, decode.d6.loss_cls: 1.2635, decode.d6.loss_mask: 0.9346, decode.d6.loss_dice: 1.4509, decode.d7.loss_cls: 1.2679, decode.d7.loss_mask: 0.9353, decode.d7.loss_dice: 1.4523, decode.d8.loss_cls: 1.2709, decode.d8.loss_mask: 0.9356, decode.d8.loss_dice: 1.4546, loss: 43.7541 2022-04-28 23:59:02,959 - mmseg - INFO - Iter [7250/80000] lr: 1.306e-06, eta: 1 day, 12:36:57, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2282, decode.loss_mask: 0.8940, decode.loss_dice: 1.3915, decode.d0.loss_cls: 7.7284, decode.d0.loss_mask: 0.8778, decode.d0.loss_dice: 1.6624, decode.d1.loss_cls: 1.4058, decode.d1.loss_mask: 0.9091, decode.d1.loss_dice: 1.4681, decode.d2.loss_cls: 1.2759, decode.d2.loss_mask: 0.8990, decode.d2.loss_dice: 1.4241, decode.d3.loss_cls: 1.2440, decode.d3.loss_mask: 0.8906, decode.d3.loss_dice: 1.4110, decode.d4.loss_cls: 1.2308, decode.d4.loss_mask: 0.8940, decode.d4.loss_dice: 1.4116, decode.d5.loss_cls: 1.2150, decode.d5.loss_mask: 0.8955, decode.d5.loss_dice: 1.4054, decode.d6.loss_cls: 1.2177, decode.d6.loss_mask: 0.8888, decode.d6.loss_dice: 1.3942, decode.d7.loss_cls: 1.2250, decode.d7.loss_mask: 0.8877, decode.d7.loss_dice: 1.3916, decode.d8.loss_cls: 1.2234, decode.d8.loss_mask: 0.8911, decode.d8.loss_dice: 1.3929, loss: 42.2747 2022-04-29 00:00:36,427 - mmseg - INFO - Iter [7300/80000] lr: 1.305e-06, eta: 1 day, 12:35:55, time: 1.870, data_time: 0.017, memory: 64979, decode.loss_cls: 1.2409, decode.loss_mask: 0.9139, decode.loss_dice: 1.4321, decode.d0.loss_cls: 7.7210, decode.d0.loss_mask: 0.8940, decode.d0.loss_dice: 1.6911, decode.d1.loss_cls: 1.4279, decode.d1.loss_mask: 0.9319, decode.d1.loss_dice: 1.4833, decode.d2.loss_cls: 1.2911, decode.d2.loss_mask: 0.9253, decode.d2.loss_dice: 1.4503, decode.d3.loss_cls: 1.2652, decode.d3.loss_mask: 0.9158, decode.d3.loss_dice: 1.4365, decode.d4.loss_cls: 1.2523, decode.d4.loss_mask: 0.9142, decode.d4.loss_dice: 1.4352, decode.d5.loss_cls: 1.2344, decode.d5.loss_mask: 0.9168, decode.d5.loss_dice: 1.4288, decode.d6.loss_cls: 1.2440, decode.d6.loss_mask: 0.9209, decode.d6.loss_dice: 1.4259, decode.d7.loss_cls: 1.2362, decode.d7.loss_mask: 0.9183, decode.d7.loss_dice: 1.4219, decode.d8.loss_cls: 1.2381, decode.d8.loss_mask: 0.9132, decode.d8.loss_dice: 1.4312, loss: 42.9516 2022-04-29 00:02:07,950 - mmseg - INFO - Iter [7350/80000] lr: 1.304e-06, eta: 1 day, 12:34:34, time: 1.831, data_time: 0.016, memory: 64979, decode.loss_cls: 1.3206, decode.loss_mask: 0.9107, decode.loss_dice: 1.4273, decode.d0.loss_cls: 7.7027, decode.d0.loss_mask: 0.8690, decode.d0.loss_dice: 1.7244, decode.d1.loss_cls: 1.5182, decode.d1.loss_mask: 0.9140, decode.d1.loss_dice: 1.5094, decode.d2.loss_cls: 1.3770, decode.d2.loss_mask: 0.9098, decode.d2.loss_dice: 1.4647, decode.d3.loss_cls: 1.3447, decode.d3.loss_mask: 0.9047, decode.d3.loss_dice: 1.4409, decode.d4.loss_cls: 1.3366, decode.d4.loss_mask: 0.9065, decode.d4.loss_dice: 1.4345, decode.d5.loss_cls: 1.3217, decode.d5.loss_mask: 0.9065, decode.d5.loss_dice: 1.4344, decode.d6.loss_cls: 1.3173, decode.d6.loss_mask: 0.9037, decode.d6.loss_dice: 1.4271, decode.d7.loss_cls: 1.3094, decode.d7.loss_mask: 0.9081, decode.d7.loss_dice: 1.4253, decode.d8.loss_cls: 1.3100, decode.d8.loss_mask: 0.9084, decode.d8.loss_dice: 1.4292, loss: 43.6167 2022-04-29 00:03:40,052 - mmseg - INFO - Iter [7400/80000] lr: 1.303e-06, eta: 1 day, 12:33:17, time: 1.842, data_time: 0.064, memory: 64979, decode.loss_cls: 1.2333, decode.loss_mask: 0.9200, decode.loss_dice: 1.4272, decode.d0.loss_cls: 7.6455, decode.d0.loss_mask: 0.8857, decode.d0.loss_dice: 1.7047, decode.d1.loss_cls: 1.4153, decode.d1.loss_mask: 0.9242, decode.d1.loss_dice: 1.4894, decode.d2.loss_cls: 1.2749, decode.d2.loss_mask: 0.9196, decode.d2.loss_dice: 1.4445, decode.d3.loss_cls: 1.2514, decode.d3.loss_mask: 0.9217, decode.d3.loss_dice: 1.4243, decode.d4.loss_cls: 1.2374, decode.d4.loss_mask: 0.9258, decode.d4.loss_dice: 1.4311, decode.d5.loss_cls: 1.2323, decode.d5.loss_mask: 0.9166, decode.d5.loss_dice: 1.4233, decode.d6.loss_cls: 1.2289, decode.d6.loss_mask: 0.9228, decode.d6.loss_dice: 1.4136, decode.d7.loss_cls: 1.2221, decode.d7.loss_mask: 0.9203, decode.d7.loss_dice: 1.4199, decode.d8.loss_cls: 1.2158, decode.d8.loss_mask: 0.9221, decode.d8.loss_dice: 1.4241, loss: 42.7379 2022-04-29 00:05:09,081 - mmseg - INFO - Iter [7450/80000] lr: 1.302e-06, eta: 1 day, 12:31:31, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2379, decode.loss_mask: 0.8851, decode.loss_dice: 1.4441, decode.d0.loss_cls: 7.6159, decode.d0.loss_mask: 0.8572, decode.d0.loss_dice: 1.7151, decode.d1.loss_cls: 1.4330, decode.d1.loss_mask: 0.8991, decode.d1.loss_dice: 1.5094, decode.d2.loss_cls: 1.2949, decode.d2.loss_mask: 0.8947, decode.d2.loss_dice: 1.4703, decode.d3.loss_cls: 1.2643, decode.d3.loss_mask: 0.8964, decode.d3.loss_dice: 1.4549, decode.d4.loss_cls: 1.2533, decode.d4.loss_mask: 0.8884, decode.d4.loss_dice: 1.4452, decode.d5.loss_cls: 1.2468, decode.d5.loss_mask: 0.8824, decode.d5.loss_dice: 1.4450, decode.d6.loss_cls: 1.2449, decode.d6.loss_mask: 0.8857, decode.d6.loss_dice: 1.4321, decode.d7.loss_cls: 1.2405, decode.d7.loss_mask: 0.8893, decode.d7.loss_dice: 1.4316, decode.d8.loss_cls: 1.2381, decode.d8.loss_mask: 0.8827, decode.d8.loss_dice: 1.4355, loss: 42.7138 2022-04-29 00:06:38,170 - mmseg - INFO - Iter [7500/80000] lr: 1.301e-06, eta: 1 day, 12:29:46, time: 1.783, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2446, decode.loss_mask: 0.8890, decode.loss_dice: 1.3888, decode.d0.loss_cls: 7.5946, decode.d0.loss_mask: 0.8631, decode.d0.loss_dice: 1.6597, decode.d1.loss_cls: 1.4155, decode.d1.loss_mask: 0.9029, decode.d1.loss_dice: 1.4551, decode.d2.loss_cls: 1.2884, decode.d2.loss_mask: 0.8900, decode.d2.loss_dice: 1.4090, decode.d3.loss_cls: 1.2569, decode.d3.loss_mask: 0.8873, decode.d3.loss_dice: 1.3943, decode.d4.loss_cls: 1.2450, decode.d4.loss_mask: 0.8873, decode.d4.loss_dice: 1.3955, decode.d5.loss_cls: 1.2441, decode.d5.loss_mask: 0.8854, decode.d5.loss_dice: 1.3945, decode.d6.loss_cls: 1.2321, decode.d6.loss_mask: 0.8903, decode.d6.loss_dice: 1.3882, decode.d7.loss_cls: 1.2301, decode.d7.loss_mask: 0.8918, decode.d7.loss_dice: 1.3892, decode.d8.loss_cls: 1.2326, decode.d8.loss_mask: 0.8884, decode.d8.loss_dice: 1.3888, loss: 42.1224 2022-04-29 00:08:07,338 - mmseg - INFO - Iter [7550/80000] lr: 1.300e-06, eta: 1 day, 12:28:01, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2225, decode.loss_mask: 0.8876, decode.loss_dice: 1.3825, decode.d0.loss_cls: 7.5492, decode.d0.loss_mask: 0.8503, decode.d0.loss_dice: 1.6542, decode.d1.loss_cls: 1.3929, decode.d1.loss_mask: 0.8922, decode.d1.loss_dice: 1.4628, decode.d2.loss_cls: 1.2720, decode.d2.loss_mask: 0.8812, decode.d2.loss_dice: 1.4200, decode.d3.loss_cls: 1.2416, decode.d3.loss_mask: 0.8808, decode.d3.loss_dice: 1.3964, decode.d4.loss_cls: 1.2289, decode.d4.loss_mask: 0.8821, decode.d4.loss_dice: 1.4023, decode.d5.loss_cls: 1.2185, decode.d5.loss_mask: 0.8837, decode.d5.loss_dice: 1.3833, decode.d6.loss_cls: 1.2202, decode.d6.loss_mask: 0.8832, decode.d6.loss_dice: 1.3820, decode.d7.loss_cls: 1.2156, decode.d7.loss_mask: 0.8840, decode.d7.loss_dice: 1.3766, decode.d8.loss_cls: 1.2179, decode.d8.loss_mask: 0.8855, decode.d8.loss_dice: 1.3783, loss: 41.8284 2022-04-29 00:09:36,429 - mmseg - INFO - Iter [7600/80000] lr: 1.299e-06, eta: 1 day, 12:26:16, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2325, decode.loss_mask: 0.8876, decode.loss_dice: 1.4193, decode.d0.loss_cls: 7.5357, decode.d0.loss_mask: 0.8573, decode.d0.loss_dice: 1.6894, decode.d1.loss_cls: 1.4177, decode.d1.loss_mask: 0.8982, decode.d1.loss_dice: 1.4885, decode.d2.loss_cls: 1.2915, decode.d2.loss_mask: 0.8888, decode.d2.loss_dice: 1.4379, decode.d3.loss_cls: 1.2642, decode.d3.loss_mask: 0.8883, decode.d3.loss_dice: 1.4211, decode.d4.loss_cls: 1.2488, decode.d4.loss_mask: 0.8881, decode.d4.loss_dice: 1.4282, decode.d5.loss_cls: 1.2431, decode.d5.loss_mask: 0.8812, decode.d5.loss_dice: 1.4165, decode.d6.loss_cls: 1.2322, decode.d6.loss_mask: 0.8877, decode.d6.loss_dice: 1.4153, decode.d7.loss_cls: 1.2334, decode.d7.loss_mask: 0.8871, decode.d7.loss_dice: 1.4176, decode.d8.loss_cls: 1.2242, decode.d8.loss_mask: 0.8857, decode.d8.loss_dice: 1.4147, loss: 42.3219 2022-04-29 00:11:05,340 - mmseg - INFO - Iter [7650/80000] lr: 1.299e-06, eta: 1 day, 12:24:30, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2216, decode.loss_mask: 0.8801, decode.loss_dice: 1.3903, decode.d0.loss_cls: 7.5058, decode.d0.loss_mask: 0.8531, decode.d0.loss_dice: 1.6744, decode.d1.loss_cls: 1.3996, decode.d1.loss_mask: 0.8941, decode.d1.loss_dice: 1.4801, decode.d2.loss_cls: 1.2725, decode.d2.loss_mask: 0.8930, decode.d2.loss_dice: 1.4374, decode.d3.loss_cls: 1.2374, decode.d3.loss_mask: 0.8928, decode.d3.loss_dice: 1.4176, decode.d4.loss_cls: 1.2219, decode.d4.loss_mask: 0.8942, decode.d4.loss_dice: 1.4197, decode.d5.loss_cls: 1.2117, decode.d5.loss_mask: 0.8920, decode.d5.loss_dice: 1.4198, decode.d6.loss_cls: 1.2068, decode.d6.loss_mask: 0.8888, decode.d6.loss_dice: 1.3987, decode.d7.loss_cls: 1.2187, decode.d7.loss_mask: 0.8828, decode.d7.loss_dice: 1.3939, decode.d8.loss_cls: 1.2163, decode.d8.loss_mask: 0.8791, decode.d8.loss_dice: 1.3951, loss: 41.9893 2022-04-29 00:12:33,168 - mmseg - INFO - Iter [7700/80000] lr: 1.298e-06, eta: 1 day, 12:22:33, time: 1.756, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2200, decode.loss_mask: 0.8709, decode.loss_dice: 1.4081, decode.d0.loss_cls: 7.4744, decode.d0.loss_mask: 0.8428, decode.d0.loss_dice: 1.6817, decode.d1.loss_cls: 1.3927, decode.d1.loss_mask: 0.8851, decode.d1.loss_dice: 1.4882, decode.d2.loss_cls: 1.2623, decode.d2.loss_mask: 0.8817, decode.d2.loss_dice: 1.4344, decode.d3.loss_cls: 1.2290, decode.d3.loss_mask: 0.8800, decode.d3.loss_dice: 1.4166, decode.d4.loss_cls: 1.2272, decode.d4.loss_mask: 0.8756, decode.d4.loss_dice: 1.4109, decode.d5.loss_cls: 1.2201, decode.d5.loss_mask: 0.8800, decode.d5.loss_dice: 1.4120, decode.d6.loss_cls: 1.2173, decode.d6.loss_mask: 0.8816, decode.d6.loss_dice: 1.4009, decode.d7.loss_cls: 1.2101, decode.d7.loss_mask: 0.8769, decode.d7.loss_dice: 1.4058, decode.d8.loss_cls: 1.2052, decode.d8.loss_mask: 0.8804, decode.d8.loss_dice: 1.4074, loss: 41.8792 2022-04-29 00:14:01,050 - mmseg - INFO - Iter [7750/80000] lr: 1.297e-06, eta: 1 day, 12:20:38, time: 1.758, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2464, decode.loss_mask: 0.8885, decode.loss_dice: 1.4143, decode.d0.loss_cls: 7.4563, decode.d0.loss_mask: 0.8617, decode.d0.loss_dice: 1.7030, decode.d1.loss_cls: 1.4127, decode.d1.loss_mask: 0.9078, decode.d1.loss_dice: 1.4945, decode.d2.loss_cls: 1.2835, decode.d2.loss_mask: 0.8990, decode.d2.loss_dice: 1.4470, decode.d3.loss_cls: 1.2624, decode.d3.loss_mask: 0.8942, decode.d3.loss_dice: 1.4351, decode.d4.loss_cls: 1.2493, decode.d4.loss_mask: 0.8910, decode.d4.loss_dice: 1.4261, decode.d5.loss_cls: 1.2421, decode.d5.loss_mask: 0.8977, decode.d5.loss_dice: 1.4273, decode.d6.loss_cls: 1.2400, decode.d6.loss_mask: 0.8923, decode.d6.loss_dice: 1.4090, decode.d7.loss_cls: 1.2385, decode.d7.loss_mask: 0.8865, decode.d7.loss_dice: 1.4115, decode.d8.loss_cls: 1.2359, decode.d8.loss_mask: 0.8926, decode.d8.loss_dice: 1.4185, loss: 42.3648 2022-04-29 00:15:29,907 - mmseg - INFO - Iter [7800/80000] lr: 1.296e-06, eta: 1 day, 12:18:52, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2194, decode.loss_mask: 0.8802, decode.loss_dice: 1.4135, decode.d0.loss_cls: 7.4237, decode.d0.loss_mask: 0.8518, decode.d0.loss_dice: 1.6789, decode.d1.loss_cls: 1.3986, decode.d1.loss_mask: 0.8943, decode.d1.loss_dice: 1.4888, decode.d2.loss_cls: 1.2772, decode.d2.loss_mask: 0.8822, decode.d2.loss_dice: 1.4332, decode.d3.loss_cls: 1.2433, decode.d3.loss_mask: 0.8796, decode.d3.loss_dice: 1.4207, decode.d4.loss_cls: 1.2290, decode.d4.loss_mask: 0.8812, decode.d4.loss_dice: 1.4133, decode.d5.loss_cls: 1.2224, decode.d5.loss_mask: 0.8825, decode.d5.loss_dice: 1.4090, decode.d6.loss_cls: 1.2168, decode.d6.loss_mask: 0.8840, decode.d6.loss_dice: 1.3997, decode.d7.loss_cls: 1.2200, decode.d7.loss_mask: 0.8821, decode.d7.loss_dice: 1.4043, decode.d8.loss_cls: 1.2134, decode.d8.loss_mask: 0.8834, decode.d8.loss_dice: 1.4040, loss: 41.9302 2022-04-29 00:16:59,032 - mmseg - INFO - Iter [7850/80000] lr: 1.295e-06, eta: 1 day, 12:17:08, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 1.2132, decode.loss_mask: 0.8914, decode.loss_dice: 1.4188, decode.d0.loss_cls: 7.3803, decode.d0.loss_mask: 0.8575, decode.d0.loss_dice: 1.6814, decode.d1.loss_cls: 1.3802, decode.d1.loss_mask: 0.8968, decode.d1.loss_dice: 1.4838, decode.d2.loss_cls: 1.2590, decode.d2.loss_mask: 0.8920, decode.d2.loss_dice: 1.4328, decode.d3.loss_cls: 1.2252, decode.d3.loss_mask: 0.8952, decode.d3.loss_dice: 1.4276, decode.d4.loss_cls: 1.2228, decode.d4.loss_mask: 0.8949, decode.d4.loss_dice: 1.4287, decode.d5.loss_cls: 1.2155, decode.d5.loss_mask: 0.8927, decode.d5.loss_dice: 1.4228, decode.d6.loss_cls: 1.2084, decode.d6.loss_mask: 0.8927, decode.d6.loss_dice: 1.4057, decode.d7.loss_cls: 1.2160, decode.d7.loss_mask: 0.8922, decode.d7.loss_dice: 1.4102, decode.d8.loss_cls: 1.2042, decode.d8.loss_mask: 0.8907, decode.d8.loss_dice: 1.4170, loss: 41.9496 2022-04-29 00:18:28,252 - mmseg - INFO - Iter [7900/80000] lr: 1.294e-06, eta: 1 day, 12:15:26, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2063, decode.loss_mask: 0.9064, decode.loss_dice: 1.4062, decode.d0.loss_cls: 7.3547, decode.d0.loss_mask: 0.8770, decode.d0.loss_dice: 1.6801, decode.d1.loss_cls: 1.3895, decode.d1.loss_mask: 0.9207, decode.d1.loss_dice: 1.4857, decode.d2.loss_cls: 1.2636, decode.d2.loss_mask: 0.9128, decode.d2.loss_dice: 1.4393, decode.d3.loss_cls: 1.2260, decode.d3.loss_mask: 0.9120, decode.d3.loss_dice: 1.4161, decode.d4.loss_cls: 1.2202, decode.d4.loss_mask: 0.9042, decode.d4.loss_dice: 1.4092, decode.d5.loss_cls: 1.2107, decode.d5.loss_mask: 0.9053, decode.d5.loss_dice: 1.4040, decode.d6.loss_cls: 1.2076, decode.d6.loss_mask: 0.9094, decode.d6.loss_dice: 1.4058, decode.d7.loss_cls: 1.2060, decode.d7.loss_mask: 0.9055, decode.d7.loss_dice: 1.4078, decode.d8.loss_cls: 1.2030, decode.d8.loss_mask: 0.9034, decode.d8.loss_dice: 1.4015, loss: 41.9997 2022-04-29 00:19:57,204 - mmseg - INFO - Iter [7950/80000] lr: 1.293e-06, eta: 1 day, 12:13:41, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2217, decode.loss_mask: 0.8960, decode.loss_dice: 1.4230, decode.d0.loss_cls: 7.3289, decode.d0.loss_mask: 0.8668, decode.d0.loss_dice: 1.6822, decode.d1.loss_cls: 1.3829, decode.d1.loss_mask: 0.8987, decode.d1.loss_dice: 1.4913, decode.d2.loss_cls: 1.2694, decode.d2.loss_mask: 0.8940, decode.d2.loss_dice: 1.4452, decode.d3.loss_cls: 1.2429, decode.d3.loss_mask: 0.8944, decode.d3.loss_dice: 1.4357, decode.d4.loss_cls: 1.2323, decode.d4.loss_mask: 0.8916, decode.d4.loss_dice: 1.4268, decode.d5.loss_cls: 1.2292, decode.d5.loss_mask: 0.8916, decode.d5.loss_dice: 1.4234, decode.d6.loss_cls: 1.2286, decode.d6.loss_mask: 0.8921, decode.d6.loss_dice: 1.4180, decode.d7.loss_cls: 1.2299, decode.d7.loss_mask: 0.8904, decode.d7.loss_dice: 1.4254, decode.d8.loss_cls: 1.2253, decode.d8.loss_mask: 0.8936, decode.d8.loss_dice: 1.4159, loss: 42.0871 2022-04-29 00:21:25,981 - mmseg - INFO - Saving checkpoint at 8000 iterations 2022-04-29 00:21:44,444 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 00:21:44,454 - mmseg - INFO - Iter [8000/80000] lr: 1.292e-06, eta: 1 day, 12:14:41, time: 2.145, data_time: 0.015, memory: 64979, decode.loss_cls: 1.2474, decode.loss_mask: 0.8820, decode.loss_dice: 1.4568, decode.d0.loss_cls: 7.2979, decode.d0.loss_mask: 0.8507, decode.d0.loss_dice: 1.7124, decode.d1.loss_cls: 1.4079, decode.d1.loss_mask: 0.8960, decode.d1.loss_dice: 1.5302, decode.d2.loss_cls: 1.2804, decode.d2.loss_mask: 0.8913, decode.d2.loss_dice: 1.4799, decode.d3.loss_cls: 1.2678, decode.d3.loss_mask: 0.8800, decode.d3.loss_dice: 1.4615, decode.d4.loss_cls: 1.2565, decode.d4.loss_mask: 0.8863, decode.d4.loss_dice: 1.4568, decode.d5.loss_cls: 1.2336, decode.d5.loss_mask: 0.8867, decode.d5.loss_dice: 1.4586, decode.d6.loss_cls: 1.2320, decode.d6.loss_mask: 0.8879, decode.d6.loss_dice: 1.4556, decode.d7.loss_cls: 1.2369, decode.d7.loss_mask: 0.8862, decode.d7.loss_dice: 1.4599, decode.d8.loss_cls: 1.2311, decode.d8.loss_mask: 0.8901, decode.d8.loss_dice: 1.4552, loss: 42.4554 2022-04-29 00:27:10,355 - mmseg - INFO - per class results: 2022-04-29 00:27:10,397 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 85.95 | 93.14 | | bicycle | 68.21 | 79.61 | | car | 59.59 | 84.99 | | motorcycle | 82.98 | 90.87 | | airplane | 81.83 | 91.45 | | bus | 81.28 | 88.44 | | train | 82.26 | 85.87 | | truck | 54.07 | 63.7 | | boat | 62.64 | 76.95 | | traffic light | 56.73 | 90.43 | | fire hydrant | 75.85 | 94.12 | | stop sign | 83.35 | 96.69 | | parking meter | 40.9 | 41.68 | | bench | 50.1 | 72.65 | | bird | 83.76 | 91.34 | | cat | 84.75 | 94.02 | | dog | 80.12 | 88.09 | | horse | 83.95 | 93.71 | | sheep | 88.28 | 94.79 | | cow | 83.26 | 91.28 | | elephant | 90.45 | 93.47 | | bear | 91.65 | 93.59 | | zebra | 89.91 | 92.46 | | giraffe | 86.24 | 92.93 | | backpack | 29.09 | 59.53 | | umbrella | 78.96 | 90.58 | | handbag | 34.37 | 55.06 | | tie | 1.61 | 1.74 | | suitcase | 79.13 | 89.8 | | frisbee | 77.27 | 92.11 | | skis | 42.67 | 57.08 | | snowboard | 54.75 | 68.77 | | sports ball | 53.23 | 76.81 | | kite | 57.02 | 71.67 | | baseball bat | 53.94 | 73.19 | | baseball glove | 71.62 | 85.29 | | skateboard | 80.64 | 90.7 | | surfboard | 80.53 | 90.86 | | tennis racket | 80.8 | 88.22 | | bottle | 50.28 | 76.73 | | wine glass | 46.69 | 54.22 | | cup | 56.48 | 74.6 | | fork | 18.85 | 21.41 | | knife | 13.65 | 19.7 | | spoon | 7.53 | 8.76 | | bowl | 39.62 | 52.45 | | banana | 60.41 | 87.11 | | apple | 43.72 | 75.28 | | sandwich | 17.75 | 18.13 | | orange | 67.12 | 76.36 | | broccoli | 56.54 | 74.2 | | carrot | 51.13 | 60.43 | | hot dog | 30.06 | 32.87 | | pizza | 56.97 | 62.83 | | donut | 59.01 | 66.0 | | cake | 59.16 | 71.38 | | chair | 48.12 | 72.57 | | couch | 60.05 | 85.38 | | potted plant | 27.87 | 41.94 | | bed | 65.67 | 81.58 | | dining table | 39.95 | 87.17 | | toilet | 80.97 | 89.31 | | tv | 71.09 | 81.39 | | laptop | 72.96 | 89.69 | | mouse | 54.0 | 82.31 | | remote | 48.61 | 76.39 | | keyboard | 66.59 | 81.31 | | cell phone | 64.4 | 81.18 | | microwave | 37.91 | 42.69 | | oven | 51.92 | 72.66 | | toaster | 0.0 | 0.0 | | sink | 56.5 | 79.78 | | refrigerator | 72.73 | 84.59 | | book | 43.3 | 61.54 | | clock | 70.55 | 82.56 | | vase | 55.65 | 78.66 | | scissors | 34.11 | 35.01 | | teddy bear | 75.83 | 86.52 | | hair drier | 0.0 | 0.0 | | toothbrush | 25.93 | 33.0 | | banner | 24.57 | 71.93 | | blanket | 1.4 | 1.4 | | branch | 0.86 | 0.86 | | bridge | 34.76 | 51.21 | | building-other | 50.55 | 64.72 | | bush | 32.57 | 48.94 | | cabinet | 51.12 | 78.5 | | cage | 3.04 | 3.43 | | cardboard | 29.11 | 41.62 | | carpet | 51.46 | 72.25 | | ceiling-other | 62.54 | 87.31 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 10.03 | 13.04 | | clouds | 46.45 | 61.62 | | counter | 26.32 | 46.44 | | cupboard | 0.0 | 0.0 | | curtain | 61.44 | 78.68 | | desk-stuff | 39.63 | 55.52 | | dirt | 38.16 | 67.86 | | door-stuff | 40.09 | 66.14 | | fence | 33.61 | 59.52 | | floor-marble | 0.0 | 0.0 | | floor-other | 21.34 | 31.94 | | floor-stone | 0.0 | 0.0 | | floor-tile | 58.3 | 70.21 | | floor-wood | 62.02 | 75.75 | | flower | 42.74 | 59.1 | | fog | 0.0 | 0.0 | | food-other | 23.47 | 31.15 | | fruit | 21.69 | 25.24 | | furniture-other | 16.36 | 24.52 | | grass | 68.83 | 82.83 | | gravel | 18.41 | 21.71 | | ground-other | 0.44 | 0.48 | | hill | 12.31 | 14.36 | | house | 16.49 | 17.84 | | leaves | 17.66 | 21.4 | | light | 35.04 | 62.35 | | mat | 0.0 | 0.0 | | metal | 29.84 | 41.19 | | mirror-stuff | 32.82 | 45.38 | | moss | 0.0 | 0.0 | | mountain | 51.92 | 73.43 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 40.38 | 55.71 | | paper | 29.71 | 46.88 | | pavement | 49.8 | 72.19 | | pillow | 0.0 | 0.0 | | plant-other | 13.42 | 16.42 | | plastic | 9.8 | 12.13 | | platform | 22.26 | 31.78 | | playingfield | 68.71 | 92.54 | | railing | 0.0 | 0.0 | | railroad | 57.26 | 84.0 | | river | 1.44 | 1.45 | | road | 63.29 | 80.41 | | rock | 47.43 | 86.85 | | roof | 21.33 | 33.33 | | rug | 28.87 | 42.49 | | salad | 0.0 | 0.0 | | sand | 58.86 | 62.66 | | sea | 81.43 | 87.61 | | shelf | 26.69 | 30.84 | | sky-other | 70.02 | 87.04 | | skyscraper | 24.01 | 28.88 | | snow | 88.83 | 93.99 | | solid-other | 0.0 | 0.0 | | stairs | 26.09 | 45.9 | | stone | 0.0 | 0.0 | | straw | 3.0 | 3.01 | | structural-other | 0.0 | 0.0 | | table | 11.25 | 13.31 | | tent | 1.54 | 1.58 | | textile-other | 11.41 | 18.1 | | towel | 25.08 | 30.02 | | tree | 72.42 | 88.37 | | vegetable | 20.5 | 23.9 | | wall-brick | 39.26 | 62.17 | | wall-concrete | 57.51 | 81.33 | | wall-other | 20.44 | 32.56 | | wall-panel | 0.0 | 0.0 | | wall-stone | 24.9 | 27.69 | | wall-tile | 67.49 | 84.61 | | wall-wood | 36.91 | 54.7 | | water-other | 26.9 | 75.14 | | waterdrops | 0.0 | 0.0 | | window-blind | 41.5 | 43.97 | | window-other | 43.39 | 67.13 | | wood | 21.03 | 32.83 | +------------------+-------+-------+ 2022-04-29 00:27:10,397 - mmseg - INFO - Summary: 2022-04-29 00:27:10,398 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 69.45 | 42.02 | 53.86 | +-------+-------+-------+ 2022-04-29 00:27:30,045 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2022-04-29 00:27:30,057 - mmseg - INFO - Best mIoU is 0.4202 at 8000 iter. 2022-04-29 00:27:30,084 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 00:27:30,085 - mmseg - INFO - Iter(val) [313] aAcc: 0.6945, mIoU: 0.4202, mAcc: 0.5386, IoU.person: 0.8595, IoU.bicycle: 0.6821, IoU.car: 0.5959, IoU.motorcycle: 0.8298, IoU.airplane: 0.8183, IoU.bus: 0.8128, IoU.train: 0.8226, IoU.truck: 0.5407, IoU.boat: 0.6264, IoU.traffic light: 0.5673, IoU.fire hydrant: 0.7585, IoU.stop sign: 0.8335, IoU.parking meter: 0.4090, IoU.bench: 0.5010, IoU.bird: 0.8376, IoU.cat: 0.8475, IoU.dog: 0.8012, IoU.horse: 0.8395, IoU.sheep: 0.8828, IoU.cow: 0.8326, IoU.elephant: 0.9045, IoU.bear: 0.9165, IoU.zebra: 0.8991, IoU.giraffe: 0.8624, IoU.backpack: 0.2909, IoU.umbrella: 0.7896, IoU.handbag: 0.3437, IoU.tie: 0.0161, IoU.suitcase: 0.7913, IoU.frisbee: 0.7727, IoU.skis: 0.4267, IoU.snowboard: 0.5475, IoU.sports ball: 0.5323, IoU.kite: 0.5702, IoU.baseball bat: 0.5394, IoU.baseball glove: 0.7162, IoU.skateboard: 0.8064, IoU.surfboard: 0.8053, IoU.tennis racket: 0.8080, IoU.bottle: 0.5028, IoU.wine glass: 0.4669, IoU.cup: 0.5648, IoU.fork: 0.1885, IoU.knife: 0.1365, IoU.spoon: 0.0753, IoU.bowl: 0.3962, IoU.banana: 0.6041, IoU.apple: 0.4372, IoU.sandwich: 0.1775, IoU.orange: 0.6712, IoU.broccoli: 0.5654, IoU.carrot: 0.5113, IoU.hot dog: 0.3006, IoU.pizza: 0.5697, IoU.donut: 0.5901, IoU.cake: 0.5916, IoU.chair: 0.4812, IoU.couch: 0.6005, IoU.potted plant: 0.2787, IoU.bed: 0.6567, IoU.dining table: 0.3995, IoU.toilet: 0.8097, IoU.tv: 0.7109, IoU.laptop: 0.7296, IoU.mouse: 0.5400, IoU.remote: 0.4861, IoU.keyboard: 0.6659, IoU.cell phone: 0.6440, IoU.microwave: 0.3791, IoU.oven: 0.5192, IoU.toaster: 0.0000, IoU.sink: 0.5650, IoU.refrigerator: 0.7273, IoU.book: 0.4330, IoU.clock: 0.7055, IoU.vase: 0.5565, IoU.scissors: 0.3411, IoU.teddy bear: 0.7583, IoU.hair drier: 0.0000, IoU.toothbrush: 0.2593, IoU.banner: 0.2457, IoU.blanket: 0.0140, IoU.branch: 0.0086, IoU.bridge: 0.3476, IoU.building-other: 0.5055, IoU.bush: 0.3257, IoU.cabinet: 0.5112, IoU.cage: 0.0304, IoU.cardboard: 0.2911, IoU.carpet: 0.5146, IoU.ceiling-other: 0.6254, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.1003, IoU.clouds: 0.4645, IoU.counter: 0.2632, IoU.cupboard: 0.0000, IoU.curtain: 0.6144, IoU.desk-stuff: 0.3963, IoU.dirt: 0.3816, IoU.door-stuff: 0.4009, IoU.fence: 0.3361, IoU.floor-marble: 0.0000, IoU.floor-other: 0.2134, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.5830, IoU.floor-wood: 0.6202, IoU.flower: 0.4274, IoU.fog: 0.0000, IoU.food-other: 0.2347, IoU.fruit: 0.2169, IoU.furniture-other: 0.1636, IoU.grass: 0.6883, IoU.gravel: 0.1841, IoU.ground-other: 0.0044, IoU.hill: 0.1231, IoU.house: 0.1649, IoU.leaves: 0.1766, IoU.light: 0.3504, IoU.mat: 0.0000, IoU.metal: 0.2984, IoU.mirror-stuff: 0.3282, IoU.moss: 0.0000, IoU.mountain: 0.5192, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.4038, IoU.paper: 0.2971, IoU.pavement: 0.4980, IoU.pillow: 0.0000, IoU.plant-other: 0.1342, IoU.plastic: 0.0980, IoU.platform: 0.2226, IoU.playingfield: 0.6871, IoU.railing: 0.0000, IoU.railroad: 0.5726, IoU.river: 0.0144, IoU.road: 0.6329, IoU.rock: 0.4743, IoU.roof: 0.2133, IoU.rug: 0.2887, IoU.salad: 0.0000, IoU.sand: 0.5886, IoU.sea: 0.8143, IoU.shelf: 0.2669, IoU.sky-other: 0.7002, IoU.skyscraper: 0.2401, IoU.snow: 0.8883, IoU.solid-other: 0.0000, IoU.stairs: 0.2609, IoU.stone: 0.0000, IoU.straw: 0.0300, IoU.structural-other: 0.0000, IoU.table: 0.1125, IoU.tent: 0.0154, IoU.textile-other: 0.1141, IoU.towel: 0.2508, IoU.tree: 0.7242, IoU.vegetable: 0.2050, IoU.wall-brick: 0.3926, IoU.wall-concrete: 0.5751, IoU.wall-other: 0.2044, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2490, IoU.wall-tile: 0.6749, IoU.wall-wood: 0.3691, IoU.water-other: 0.2690, IoU.waterdrops: 0.0000, IoU.window-blind: 0.4150, IoU.window-other: 0.4339, IoU.wood: 0.2103, Acc.person: 0.9314, Acc.bicycle: 0.7961, Acc.car: 0.8499, Acc.motorcycle: 0.9087, Acc.airplane: 0.9145, Acc.bus: 0.8844, Acc.train: 0.8587, Acc.truck: 0.6370, Acc.boat: 0.7695, Acc.traffic light: 0.9043, Acc.fire hydrant: 0.9412, Acc.stop sign: 0.9669, Acc.parking meter: 0.4168, Acc.bench: 0.7265, Acc.bird: 0.9134, Acc.cat: 0.9402, Acc.dog: 0.8809, Acc.horse: 0.9371, Acc.sheep: 0.9479, Acc.cow: 0.9128, Acc.elephant: 0.9347, Acc.bear: 0.9359, Acc.zebra: 0.9246, Acc.giraffe: 0.9293, Acc.backpack: 0.5953, Acc.umbrella: 0.9058, Acc.handbag: 0.5506, Acc.tie: 0.0174, Acc.suitcase: 0.8980, Acc.frisbee: 0.9211, Acc.skis: 0.5708, Acc.snowboard: 0.6877, Acc.sports ball: 0.7681, Acc.kite: 0.7167, Acc.baseball bat: 0.7319, Acc.baseball glove: 0.8529, Acc.skateboard: 0.9070, Acc.surfboard: 0.9086, Acc.tennis racket: 0.8822, Acc.bottle: 0.7673, Acc.wine glass: 0.5422, Acc.cup: 0.7460, Acc.fork: 0.2141, Acc.knife: 0.1970, Acc.spoon: 0.0876, Acc.bowl: 0.5245, Acc.banana: 0.8711, Acc.apple: 0.7528, Acc.sandwich: 0.1813, Acc.orange: 0.7636, Acc.broccoli: 0.7420, Acc.carrot: 0.6043, Acc.hot dog: 0.3287, Acc.pizza: 0.6283, Acc.donut: 0.6600, Acc.cake: 0.7138, Acc.chair: 0.7257, Acc.couch: 0.8538, Acc.potted plant: 0.4194, Acc.bed: 0.8158, Acc.dining table: 0.8717, Acc.toilet: 0.8931, Acc.tv: 0.8139, Acc.laptop: 0.8969, Acc.mouse: 0.8231, Acc.remote: 0.7639, Acc.keyboard: 0.8131, Acc.cell phone: 0.8118, Acc.microwave: 0.4269, Acc.oven: 0.7266, Acc.toaster: 0.0000, Acc.sink: 0.7978, Acc.refrigerator: 0.8459, Acc.book: 0.6154, Acc.clock: 0.8256, Acc.vase: 0.7866, Acc.scissors: 0.3501, Acc.teddy bear: 0.8652, Acc.hair drier: 0.0000, Acc.toothbrush: 0.3300, Acc.banner: 0.7193, Acc.blanket: 0.0140, Acc.branch: 0.0086, Acc.bridge: 0.5121, Acc.building-other: 0.6472, Acc.bush: 0.4894, Acc.cabinet: 0.7850, Acc.cage: 0.0343, Acc.cardboard: 0.4162, Acc.carpet: 0.7225, Acc.ceiling-other: 0.8731, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.1304, Acc.clouds: 0.6162, Acc.counter: 0.4644, Acc.cupboard: 0.0000, Acc.curtain: 0.7868, Acc.desk-stuff: 0.5552, Acc.dirt: 0.6786, Acc.door-stuff: 0.6614, Acc.fence: 0.5952, Acc.floor-marble: 0.0000, Acc.floor-other: 0.3194, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.7021, Acc.floor-wood: 0.7575, Acc.flower: 0.5910, Acc.fog: 0.0000, Acc.food-other: 0.3115, Acc.fruit: 0.2524, Acc.furniture-other: 0.2452, Acc.grass: 0.8283, Acc.gravel: 0.2171, Acc.ground-other: 0.0048, Acc.hill: 0.1436, Acc.house: 0.1784, Acc.leaves: 0.2140, Acc.light: 0.6235, Acc.mat: 0.0000, Acc.metal: 0.4119, Acc.mirror-stuff: 0.4538, Acc.moss: 0.0000, Acc.mountain: 0.7343, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.5571, Acc.paper: 0.4688, Acc.pavement: 0.7219, Acc.pillow: 0.0000, Acc.plant-other: 0.1642, Acc.plastic: 0.1213, Acc.platform: 0.3178, Acc.playingfield: 0.9254, Acc.railing: 0.0000, Acc.railroad: 0.8400, Acc.river: 0.0145, Acc.road: 0.8041, Acc.rock: 0.8685, Acc.roof: 0.3333, Acc.rug: 0.4249, Acc.salad: 0.0000, Acc.sand: 0.6266, Acc.sea: 0.8761, Acc.shelf: 0.3084, Acc.sky-other: 0.8704, Acc.skyscraper: 0.2888, Acc.snow: 0.9399, Acc.solid-other: 0.0000, Acc.stairs: 0.4590, Acc.stone: 0.0000, Acc.straw: 0.0301, Acc.structural-other: 0.0000, Acc.table: 0.1331, Acc.tent: 0.0158, Acc.textile-other: 0.1810, Acc.towel: 0.3002, Acc.tree: 0.8837, Acc.vegetable: 0.2390, Acc.wall-brick: 0.6217, Acc.wall-concrete: 0.8133, Acc.wall-other: 0.3256, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2769, Acc.wall-tile: 0.8461, Acc.wall-wood: 0.5470, Acc.water-other: 0.7514, Acc.waterdrops: 0.0000, Acc.window-blind: 0.4397, Acc.window-other: 0.6713, Acc.wood: 0.3283 2022-04-29 00:28:59,491 - mmseg - INFO - Iter [8050/80000] lr: 1.291e-06, eta: 1 day, 13:04:29, time: 8.701, data_time: 6.930, memory: 64979, decode.loss_cls: 1.2268, decode.loss_mask: 0.8871, decode.loss_dice: 1.4290, decode.d0.loss_cls: 7.2494, decode.d0.loss_mask: 0.8576, decode.d0.loss_dice: 1.6865, decode.d1.loss_cls: 1.3842, decode.d1.loss_mask: 0.9010, decode.d1.loss_dice: 1.5059, decode.d2.loss_cls: 1.2627, decode.d2.loss_mask: 0.8873, decode.d2.loss_dice: 1.4503, decode.d3.loss_cls: 1.2399, decode.d3.loss_mask: 0.8857, decode.d3.loss_dice: 1.4364, decode.d4.loss_cls: 1.2225, decode.d4.loss_mask: 0.8965, decode.d4.loss_dice: 1.4405, decode.d5.loss_cls: 1.2196, decode.d5.loss_mask: 0.8863, decode.d5.loss_dice: 1.4305, decode.d6.loss_cls: 1.2134, decode.d6.loss_mask: 0.8847, decode.d6.loss_dice: 1.4203, decode.d7.loss_cls: 1.2179, decode.d7.loss_mask: 0.8872, decode.d7.loss_dice: 1.4279, decode.d8.loss_cls: 1.2164, decode.d8.loss_mask: 0.8826, decode.d8.loss_dice: 1.4337, loss: 41.9698 2022-04-29 00:30:27,564 - mmseg - INFO - Iter [8100/80000] lr: 1.290e-06, eta: 1 day, 13:02:15, time: 1.762, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1870, decode.loss_mask: 0.8709, decode.loss_dice: 1.3706, decode.d0.loss_cls: 7.2246, decode.d0.loss_mask: 0.8418, decode.d0.loss_dice: 1.6466, decode.d1.loss_cls: 1.3494, decode.d1.loss_mask: 0.8874, decode.d1.loss_dice: 1.4473, decode.d2.loss_cls: 1.2195, decode.d2.loss_mask: 0.8803, decode.d2.loss_dice: 1.3973, decode.d3.loss_cls: 1.1943, decode.d3.loss_mask: 0.8806, decode.d3.loss_dice: 1.3915, decode.d4.loss_cls: 1.1866, decode.d4.loss_mask: 0.8792, decode.d4.loss_dice: 1.3826, decode.d5.loss_cls: 1.1817, decode.d5.loss_mask: 0.8759, decode.d5.loss_dice: 1.3739, decode.d6.loss_cls: 1.1802, decode.d6.loss_mask: 0.8744, decode.d6.loss_dice: 1.3719, decode.d7.loss_cls: 1.1799, decode.d7.loss_mask: 0.8702, decode.d7.loss_dice: 1.3712, decode.d8.loss_cls: 1.1723, decode.d8.loss_mask: 0.8705, decode.d8.loss_dice: 1.3739, loss: 40.9332 2022-04-29 00:31:56,068 - mmseg - INFO - Iter [8150/80000] lr: 1.290e-06, eta: 1 day, 13:00:05, time: 1.770, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2116, decode.loss_mask: 0.8583, decode.loss_dice: 1.4004, decode.d0.loss_cls: 7.2009, decode.d0.loss_mask: 0.8243, decode.d0.loss_dice: 1.6879, decode.d1.loss_cls: 1.3682, decode.d1.loss_mask: 0.8649, decode.d1.loss_dice: 1.4826, decode.d2.loss_cls: 1.2478, decode.d2.loss_mask: 0.8577, decode.d2.loss_dice: 1.4382, decode.d3.loss_cls: 1.2260, decode.d3.loss_mask: 0.8562, decode.d3.loss_dice: 1.4207, decode.d4.loss_cls: 1.2137, decode.d4.loss_mask: 0.8586, decode.d4.loss_dice: 1.4229, decode.d5.loss_cls: 1.2078, decode.d5.loss_mask: 0.8556, decode.d5.loss_dice: 1.4182, decode.d6.loss_cls: 1.2069, decode.d6.loss_mask: 0.8530, decode.d6.loss_dice: 1.4048, decode.d7.loss_cls: 1.2030, decode.d7.loss_mask: 0.8567, decode.d7.loss_dice: 1.4056, decode.d8.loss_cls: 1.1961, decode.d8.loss_mask: 0.8584, decode.d8.loss_dice: 1.4037, loss: 41.3105 2022-04-29 00:33:23,571 - mmseg - INFO - Iter [8200/80000] lr: 1.289e-06, eta: 1 day, 12:57:47, time: 1.750, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1936, decode.loss_mask: 0.8985, decode.loss_dice: 1.4317, decode.d0.loss_cls: 7.1751, decode.d0.loss_mask: 0.8516, decode.d0.loss_dice: 1.6863, decode.d1.loss_cls: 1.3679, decode.d1.loss_mask: 0.9067, decode.d1.loss_dice: 1.4933, decode.d2.loss_cls: 1.2436, decode.d2.loss_mask: 0.9026, decode.d2.loss_dice: 1.4481, decode.d3.loss_cls: 1.2222, decode.d3.loss_mask: 0.8979, decode.d3.loss_dice: 1.4239, decode.d4.loss_cls: 1.2075, decode.d4.loss_mask: 0.9005, decode.d4.loss_dice: 1.4355, decode.d5.loss_cls: 1.2055, decode.d5.loss_mask: 0.8932, decode.d5.loss_dice: 1.4321, decode.d6.loss_cls: 1.1967, decode.d6.loss_mask: 0.8947, decode.d6.loss_dice: 1.4180, decode.d7.loss_cls: 1.1894, decode.d7.loss_mask: 0.8893, decode.d7.loss_dice: 1.4248, decode.d8.loss_cls: 1.1859, decode.d8.loss_mask: 0.8964, decode.d8.loss_dice: 1.4278, loss: 41.7404 2022-04-29 00:34:52,648 - mmseg - INFO - Iter [8250/80000] lr: 1.288e-06, eta: 1 day, 12:55:43, time: 1.781, data_time: 0.017, memory: 64979, decode.loss_cls: 1.2054, decode.loss_mask: 0.9061, decode.loss_dice: 1.4119, decode.d0.loss_cls: 7.1451, decode.d0.loss_mask: 0.8721, decode.d0.loss_dice: 1.6627, decode.d1.loss_cls: 1.3649, decode.d1.loss_mask: 0.9185, decode.d1.loss_dice: 1.4744, decode.d2.loss_cls: 1.2515, decode.d2.loss_mask: 0.9041, decode.d2.loss_dice: 1.4238, decode.d3.loss_cls: 1.2207, decode.d3.loss_mask: 0.9034, decode.d3.loss_dice: 1.4166, decode.d4.loss_cls: 1.2096, decode.d4.loss_mask: 0.9045, decode.d4.loss_dice: 1.4196, decode.d5.loss_cls: 1.1913, decode.d5.loss_mask: 0.9051, decode.d5.loss_dice: 1.4043, decode.d6.loss_cls: 1.1908, decode.d6.loss_mask: 0.9069, decode.d6.loss_dice: 1.3984, decode.d7.loss_cls: 1.1943, decode.d7.loss_mask: 0.9030, decode.d7.loss_dice: 1.4030, decode.d8.loss_cls: 1.1896, decode.d8.loss_mask: 0.9097, decode.d8.loss_dice: 1.4134, loss: 41.6248 2022-04-29 00:36:22,158 - mmseg - INFO - Iter [8300/80000] lr: 1.287e-06, eta: 1 day, 12:53:43, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1793, decode.loss_mask: 0.8975, decode.loss_dice: 1.3973, decode.d0.loss_cls: 7.1143, decode.d0.loss_mask: 0.8614, decode.d0.loss_dice: 1.6597, decode.d1.loss_cls: 1.3482, decode.d1.loss_mask: 0.8999, decode.d1.loss_dice: 1.4622, decode.d2.loss_cls: 1.2264, decode.d2.loss_mask: 0.9012, decode.d2.loss_dice: 1.4209, decode.d3.loss_cls: 1.1907, decode.d3.loss_mask: 0.8981, decode.d3.loss_dice: 1.3976, decode.d4.loss_cls: 1.1822, decode.d4.loss_mask: 0.8925, decode.d4.loss_dice: 1.4008, decode.d5.loss_cls: 1.1753, decode.d5.loss_mask: 0.8923, decode.d5.loss_dice: 1.3958, decode.d6.loss_cls: 1.1701, decode.d6.loss_mask: 0.8989, decode.d6.loss_dice: 1.3921, decode.d7.loss_cls: 1.1742, decode.d7.loss_mask: 0.8974, decode.d7.loss_dice: 1.3886, decode.d8.loss_cls: 1.1726, decode.d8.loss_mask: 0.8925, decode.d8.loss_dice: 1.3999, loss: 41.1797 2022-04-29 00:37:50,842 - mmseg - INFO - Iter [8350/80000] lr: 1.286e-06, eta: 1 day, 12:51:37, time: 1.774, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1692, decode.loss_mask: 0.8828, decode.loss_dice: 1.3829, decode.d0.loss_cls: 7.0797, decode.d0.loss_mask: 0.8585, decode.d0.loss_dice: 1.6473, decode.d1.loss_cls: 1.3200, decode.d1.loss_mask: 0.9090, decode.d1.loss_dice: 1.4645, decode.d2.loss_cls: 1.2104, decode.d2.loss_mask: 0.8959, decode.d2.loss_dice: 1.4278, decode.d3.loss_cls: 1.1824, decode.d3.loss_mask: 0.8922, decode.d3.loss_dice: 1.3971, decode.d4.loss_cls: 1.1644, decode.d4.loss_mask: 0.8894, decode.d4.loss_dice: 1.3952, decode.d5.loss_cls: 1.1587, decode.d5.loss_mask: 0.8853, decode.d5.loss_dice: 1.3928, decode.d6.loss_cls: 1.1609, decode.d6.loss_mask: 0.8852, decode.d6.loss_dice: 1.3782, decode.d7.loss_cls: 1.1550, decode.d7.loss_mask: 0.8862, decode.d7.loss_dice: 1.3832, decode.d8.loss_cls: 1.1522, decode.d8.loss_mask: 0.8892, decode.d8.loss_dice: 1.3812, loss: 40.8769 2022-04-29 00:39:20,605 - mmseg - INFO - Iter [8400/80000] lr: 1.285e-06, eta: 1 day, 12:49:40, time: 1.795, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1645, decode.loss_mask: 0.8733, decode.loss_dice: 1.3654, decode.d0.loss_cls: 7.0165, decode.d0.loss_mask: 0.8516, decode.d0.loss_dice: 1.6038, decode.d1.loss_cls: 1.2999, decode.d1.loss_mask: 0.8949, decode.d1.loss_dice: 1.4248, decode.d2.loss_cls: 1.1889, decode.d2.loss_mask: 0.8887, decode.d2.loss_dice: 1.3806, decode.d3.loss_cls: 1.1612, decode.d3.loss_mask: 0.8857, decode.d3.loss_dice: 1.3739, decode.d4.loss_cls: 1.1527, decode.d4.loss_mask: 0.8877, decode.d4.loss_dice: 1.3690, decode.d5.loss_cls: 1.1526, decode.d5.loss_mask: 0.8843, decode.d5.loss_dice: 1.3587, decode.d6.loss_cls: 1.1588, decode.d6.loss_mask: 0.8739, decode.d6.loss_dice: 1.3526, decode.d7.loss_cls: 1.1562, decode.d7.loss_mask: 0.8777, decode.d7.loss_dice: 1.3582, decode.d8.loss_cls: 1.1579, decode.d8.loss_mask: 0.8754, decode.d8.loss_dice: 1.3653, loss: 40.3550 2022-04-29 00:40:48,188 - mmseg - INFO - Iter [8450/80000] lr: 1.284e-06, eta: 1 day, 12:47:24, time: 1.750, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1844, decode.loss_mask: 0.8950, decode.loss_dice: 1.3849, decode.d0.loss_cls: 6.9975, decode.d0.loss_mask: 0.8604, decode.d0.loss_dice: 1.6449, decode.d1.loss_cls: 1.3401, decode.d1.loss_mask: 0.9086, decode.d1.loss_dice: 1.4617, decode.d2.loss_cls: 1.2308, decode.d2.loss_mask: 0.8957, decode.d2.loss_dice: 1.4088, decode.d3.loss_cls: 1.2064, decode.d3.loss_mask: 0.8874, decode.d3.loss_dice: 1.3952, decode.d4.loss_cls: 1.1945, decode.d4.loss_mask: 0.8930, decode.d4.loss_dice: 1.3969, decode.d5.loss_cls: 1.1901, decode.d5.loss_mask: 0.8904, decode.d5.loss_dice: 1.3919, decode.d6.loss_cls: 1.1863, decode.d6.loss_mask: 0.8931, decode.d6.loss_dice: 1.3808, decode.d7.loss_cls: 1.1901, decode.d7.loss_mask: 0.8932, decode.d7.loss_dice: 1.3940, decode.d8.loss_cls: 1.1759, decode.d8.loss_mask: 0.8955, decode.d8.loss_dice: 1.3891, loss: 41.0567 2022-04-29 00:42:16,752 - mmseg - INFO - Iter [8500/80000] lr: 1.283e-06, eta: 1 day, 12:45:19, time: 1.773, data_time: 0.019, memory: 64979, decode.loss_cls: 1.1530, decode.loss_mask: 0.8724, decode.loss_dice: 1.4019, decode.d0.loss_cls: 6.9807, decode.d0.loss_mask: 0.8352, decode.d0.loss_dice: 1.6467, decode.d1.loss_cls: 1.3185, decode.d1.loss_mask: 0.8844, decode.d1.loss_dice: 1.4644, decode.d2.loss_cls: 1.1977, decode.d2.loss_mask: 0.8773, decode.d2.loss_dice: 1.4202, decode.d3.loss_cls: 1.1668, decode.d3.loss_mask: 0.8806, decode.d3.loss_dice: 1.4047, decode.d4.loss_cls: 1.1616, decode.d4.loss_mask: 0.8756, decode.d4.loss_dice: 1.4104, decode.d5.loss_cls: 1.1482, decode.d5.loss_mask: 0.8775, decode.d5.loss_dice: 1.4020, decode.d6.loss_cls: 1.1546, decode.d6.loss_mask: 0.8796, decode.d6.loss_dice: 1.3942, decode.d7.loss_cls: 1.1468, decode.d7.loss_mask: 0.8759, decode.d7.loss_dice: 1.4010, decode.d8.loss_cls: 1.1490, decode.d8.loss_mask: 0.8740, decode.d8.loss_dice: 1.4014, loss: 40.6563 2022-04-29 00:43:45,330 - mmseg - INFO - Iter [8550/80000] lr: 1.282e-06, eta: 1 day, 12:43:12, time: 1.769, data_time: 0.017, memory: 64979, decode.loss_cls: 1.1704, decode.loss_mask: 0.8704, decode.loss_dice: 1.4012, decode.d0.loss_cls: 6.9530, decode.d0.loss_mask: 0.8344, decode.d0.loss_dice: 1.6646, decode.d1.loss_cls: 1.3302, decode.d1.loss_mask: 0.8769, decode.d1.loss_dice: 1.4784, decode.d2.loss_cls: 1.2213, decode.d2.loss_mask: 0.8653, decode.d2.loss_dice: 1.4378, decode.d3.loss_cls: 1.1888, decode.d3.loss_mask: 0.8622, decode.d3.loss_dice: 1.4211, decode.d4.loss_cls: 1.1762, decode.d4.loss_mask: 0.8691, decode.d4.loss_dice: 1.4104, decode.d5.loss_cls: 1.1716, decode.d5.loss_mask: 0.8589, decode.d5.loss_dice: 1.4090, decode.d6.loss_cls: 1.1737, decode.d6.loss_mask: 0.8640, decode.d6.loss_dice: 1.3945, decode.d7.loss_cls: 1.1686, decode.d7.loss_mask: 0.8638, decode.d7.loss_dice: 1.3933, decode.d8.loss_cls: 1.1648, decode.d8.loss_mask: 0.8694, decode.d8.loss_dice: 1.3944, loss: 40.7577 2022-04-29 00:45:13,963 - mmseg - INFO - Iter [8600/80000] lr: 1.281e-06, eta: 1 day, 12:41:09, time: 1.775, data_time: 0.018, memory: 64979, decode.loss_cls: 1.1936, decode.loss_mask: 0.8749, decode.loss_dice: 1.3930, decode.d0.loss_cls: 6.9361, decode.d0.loss_mask: 0.8360, decode.d0.loss_dice: 1.6678, decode.d1.loss_cls: 1.3432, decode.d1.loss_mask: 0.8865, decode.d1.loss_dice: 1.4731, decode.d2.loss_cls: 1.2332, decode.d2.loss_mask: 0.8819, decode.d2.loss_dice: 1.4357, decode.d3.loss_cls: 1.2083, decode.d3.loss_mask: 0.8739, decode.d3.loss_dice: 1.4074, decode.d4.loss_cls: 1.1937, decode.d4.loss_mask: 0.8806, decode.d4.loss_dice: 1.4031, decode.d5.loss_cls: 1.1883, decode.d5.loss_mask: 0.8749, decode.d5.loss_dice: 1.4046, decode.d6.loss_cls: 1.1900, decode.d6.loss_mask: 0.8752, decode.d6.loss_dice: 1.3875, decode.d7.loss_cls: 1.1888, decode.d7.loss_mask: 0.8795, decode.d7.loss_dice: 1.3875, decode.d8.loss_cls: 1.1830, decode.d8.loss_mask: 0.8793, decode.d8.loss_dice: 1.3931, loss: 40.9537 2022-04-29 00:46:43,261 - mmseg - INFO - Iter [8650/80000] lr: 1.281e-06, eta: 1 day, 12:39:10, time: 1.786, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1812, decode.loss_mask: 0.8607, decode.loss_dice: 1.3957, decode.d0.loss_cls: 6.8940, decode.d0.loss_mask: 0.8249, decode.d0.loss_dice: 1.6398, decode.d1.loss_cls: 1.3316, decode.d1.loss_mask: 0.8695, decode.d1.loss_dice: 1.4667, decode.d2.loss_cls: 1.2263, decode.d2.loss_mask: 0.8576, decode.d2.loss_dice: 1.4202, decode.d3.loss_cls: 1.1984, decode.d3.loss_mask: 0.8589, decode.d3.loss_dice: 1.4037, decode.d4.loss_cls: 1.1840, decode.d4.loss_mask: 0.8524, decode.d4.loss_dice: 1.3964, decode.d5.loss_cls: 1.1788, decode.d5.loss_mask: 0.8573, decode.d5.loss_dice: 1.3950, decode.d6.loss_cls: 1.1820, decode.d6.loss_mask: 0.8563, decode.d6.loss_dice: 1.3868, decode.d7.loss_cls: 1.1703, decode.d7.loss_mask: 0.8564, decode.d7.loss_dice: 1.3879, decode.d8.loss_cls: 1.1711, decode.d8.loss_mask: 0.8644, decode.d8.loss_dice: 1.3900, loss: 40.5583 2022-04-29 00:48:11,270 - mmseg - INFO - Iter [8700/80000] lr: 1.280e-06, eta: 1 day, 12:37:01, time: 1.760, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1873, decode.loss_mask: 0.9154, decode.loss_dice: 1.4105, decode.d0.loss_cls: 6.8621, decode.d0.loss_mask: 0.8684, decode.d0.loss_dice: 1.6721, decode.d1.loss_cls: 1.3391, decode.d1.loss_mask: 0.9227, decode.d1.loss_dice: 1.4714, decode.d2.loss_cls: 1.2329, decode.d2.loss_mask: 0.9174, decode.d2.loss_dice: 1.4273, decode.d3.loss_cls: 1.2047, decode.d3.loss_mask: 0.9156, decode.d3.loss_dice: 1.4102, decode.d4.loss_cls: 1.1956, decode.d4.loss_mask: 0.9187, decode.d4.loss_dice: 1.4081, decode.d5.loss_cls: 1.1899, decode.d5.loss_mask: 0.9128, decode.d5.loss_dice: 1.4130, decode.d6.loss_cls: 1.1859, decode.d6.loss_mask: 0.9161, decode.d6.loss_dice: 1.4026, decode.d7.loss_cls: 1.1851, decode.d7.loss_mask: 0.9084, decode.d7.loss_dice: 1.4063, decode.d8.loss_cls: 1.1827, decode.d8.loss_mask: 0.9133, decode.d8.loss_dice: 1.4061, loss: 41.3016 2022-04-29 00:49:39,303 - mmseg - INFO - Iter [8750/80000] lr: 1.279e-06, eta: 1 day, 12:34:52, time: 1.761, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1998, decode.loss_mask: 0.9065, decode.loss_dice: 1.4029, decode.d0.loss_cls: 6.8492, decode.d0.loss_mask: 0.8565, decode.d0.loss_dice: 1.6591, decode.d1.loss_cls: 1.3426, decode.d1.loss_mask: 0.9129, decode.d1.loss_dice: 1.4836, decode.d2.loss_cls: 1.2362, decode.d2.loss_mask: 0.9073, decode.d2.loss_dice: 1.4357, decode.d3.loss_cls: 1.2151, decode.d3.loss_mask: 0.9040, decode.d3.loss_dice: 1.4171, decode.d4.loss_cls: 1.1987, decode.d4.loss_mask: 0.9086, decode.d4.loss_dice: 1.4235, decode.d5.loss_cls: 1.2000, decode.d5.loss_mask: 0.9011, decode.d5.loss_dice: 1.4222, decode.d6.loss_cls: 1.2028, decode.d6.loss_mask: 0.9000, decode.d6.loss_dice: 1.4031, decode.d7.loss_cls: 1.1885, decode.d7.loss_mask: 0.9064, decode.d7.loss_dice: 1.4082, decode.d8.loss_cls: 1.1832, decode.d8.loss_mask: 0.9090, decode.d8.loss_dice: 1.3976, loss: 41.2812 2022-04-29 00:51:08,662 - mmseg - INFO - Iter [8800/80000] lr: 1.278e-06, eta: 1 day, 12:32:55, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1541, decode.loss_mask: 0.8646, decode.loss_dice: 1.3822, decode.d0.loss_cls: 6.7951, decode.d0.loss_mask: 0.8318, decode.d0.loss_dice: 1.6271, decode.d1.loss_cls: 1.2972, decode.d1.loss_mask: 0.8783, decode.d1.loss_dice: 1.4455, decode.d2.loss_cls: 1.1912, decode.d2.loss_mask: 0.8743, decode.d2.loss_dice: 1.4139, decode.d3.loss_cls: 1.1699, decode.d3.loss_mask: 0.8636, decode.d3.loss_dice: 1.3991, decode.d4.loss_cls: 1.1550, decode.d4.loss_mask: 0.8669, decode.d4.loss_dice: 1.4014, decode.d5.loss_cls: 1.1441, decode.d5.loss_mask: 0.8671, decode.d5.loss_dice: 1.3912, decode.d6.loss_cls: 1.1509, decode.d6.loss_mask: 0.8703, decode.d6.loss_dice: 1.3845, decode.d7.loss_cls: 1.1433, decode.d7.loss_mask: 0.8671, decode.d7.loss_dice: 1.3802, decode.d8.loss_cls: 1.1451, decode.d8.loss_mask: 0.8648, decode.d8.loss_dice: 1.3827, loss: 40.2024 2022-04-29 00:52:37,326 - mmseg - INFO - Iter [8850/80000] lr: 1.277e-06, eta: 1 day, 12:30:53, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1716, decode.loss_mask: 0.8757, decode.loss_dice: 1.4057, decode.d0.loss_cls: 6.7708, decode.d0.loss_mask: 0.8489, decode.d0.loss_dice: 1.6749, decode.d1.loss_cls: 1.3236, decode.d1.loss_mask: 0.8859, decode.d1.loss_dice: 1.4791, decode.d2.loss_cls: 1.2141, decode.d2.loss_mask: 0.8752, decode.d2.loss_dice: 1.4318, decode.d3.loss_cls: 1.1894, decode.d3.loss_mask: 0.8732, decode.d3.loss_dice: 1.4148, decode.d4.loss_cls: 1.1700, decode.d4.loss_mask: 0.8721, decode.d4.loss_dice: 1.4161, decode.d5.loss_cls: 1.1673, decode.d5.loss_mask: 0.8715, decode.d5.loss_dice: 1.4078, decode.d6.loss_cls: 1.1658, decode.d6.loss_mask: 0.8737, decode.d6.loss_dice: 1.4036, decode.d7.loss_cls: 1.1664, decode.d7.loss_mask: 0.8748, decode.d7.loss_dice: 1.4016, decode.d8.loss_cls: 1.1568, decode.d8.loss_mask: 0.8796, decode.d8.loss_dice: 1.4005, loss: 40.6621 2022-04-29 00:54:06,092 - mmseg - INFO - Iter [8900/80000] lr: 1.276e-06, eta: 1 day, 12:28:51, time: 1.774, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1846, decode.loss_mask: 0.8835, decode.loss_dice: 1.4263, decode.d0.loss_cls: 6.7465, decode.d0.loss_mask: 0.8466, decode.d0.loss_dice: 1.6858, decode.d1.loss_cls: 1.3309, decode.d1.loss_mask: 0.8980, decode.d1.loss_dice: 1.5170, decode.d2.loss_cls: 1.2214, decode.d2.loss_mask: 0.8933, decode.d2.loss_dice: 1.4645, decode.d3.loss_cls: 1.1986, decode.d3.loss_mask: 0.8885, decode.d3.loss_dice: 1.4326, decode.d4.loss_cls: 1.1865, decode.d4.loss_mask: 0.8932, decode.d4.loss_dice: 1.4390, decode.d5.loss_cls: 1.1742, decode.d5.loss_mask: 0.8892, decode.d5.loss_dice: 1.4300, decode.d6.loss_cls: 1.1726, decode.d6.loss_mask: 0.8902, decode.d6.loss_dice: 1.4229, decode.d7.loss_cls: 1.1734, decode.d7.loss_mask: 0.8817, decode.d7.loss_dice: 1.4220, decode.d8.loss_cls: 1.1673, decode.d8.loss_mask: 0.8833, decode.d8.loss_dice: 1.4250, loss: 41.0685 2022-04-29 00:55:34,246 - mmseg - INFO - Iter [8950/80000] lr: 1.275e-06, eta: 1 day, 12:26:46, time: 1.765, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2168, decode.loss_mask: 0.8715, decode.loss_dice: 1.4094, decode.d0.loss_cls: 6.7285, decode.d0.loss_mask: 0.8353, decode.d0.loss_dice: 1.6531, decode.d1.loss_cls: 1.3589, decode.d1.loss_mask: 0.8834, decode.d1.loss_dice: 1.4796, decode.d2.loss_cls: 1.2523, decode.d2.loss_mask: 0.8746, decode.d2.loss_dice: 1.4387, decode.d3.loss_cls: 1.2238, decode.d3.loss_mask: 0.8741, decode.d3.loss_dice: 1.4110, decode.d4.loss_cls: 1.2146, decode.d4.loss_mask: 0.8763, decode.d4.loss_dice: 1.4159, decode.d5.loss_cls: 1.2038, decode.d5.loss_mask: 0.8774, decode.d5.loss_dice: 1.4115, decode.d6.loss_cls: 1.2021, decode.d6.loss_mask: 0.8756, decode.d6.loss_dice: 1.4016, decode.d7.loss_cls: 1.2038, decode.d7.loss_mask: 0.8744, decode.d7.loss_dice: 1.4082, decode.d8.loss_cls: 1.2040, decode.d8.loss_mask: 0.8730, decode.d8.loss_dice: 1.4071, loss: 40.9605 2022-04-29 00:57:03,002 - mmseg - INFO - Saving checkpoint at 9000 iterations 2022-04-29 00:57:36,797 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 00:57:36,805 - mmseg - INFO - Iter [9000/80000] lr: 1.274e-06, eta: 1 day, 12:29:11, time: 2.449, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1798, decode.loss_mask: 0.8857, decode.loss_dice: 1.3946, decode.d0.loss_cls: 6.6864, decode.d0.loss_mask: 0.8474, decode.d0.loss_dice: 1.6392, decode.d1.loss_cls: 1.3244, decode.d1.loss_mask: 0.8944, decode.d1.loss_dice: 1.4688, decode.d2.loss_cls: 1.2144, decode.d2.loss_mask: 0.8882, decode.d2.loss_dice: 1.4270, decode.d3.loss_cls: 1.2003, decode.d3.loss_mask: 0.8861, decode.d3.loss_dice: 1.4047, decode.d4.loss_cls: 1.1863, decode.d4.loss_mask: 0.8857, decode.d4.loss_dice: 1.4058, decode.d5.loss_cls: 1.1797, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.4043, decode.d6.loss_cls: 1.1747, decode.d6.loss_mask: 0.8795, decode.d6.loss_dice: 1.3992, decode.d7.loss_cls: 1.1768, decode.d7.loss_mask: 0.8885, decode.d7.loss_dice: 1.3956, decode.d8.loss_cls: 1.1701, decode.d8.loss_mask: 0.8861, decode.d8.loss_dice: 1.3888, loss: 40.6472 2022-04-29 00:59:06,147 - mmseg - INFO - Iter [9050/80000] lr: 1.273e-06, eta: 1 day, 12:27:15, time: 1.789, data_time: 0.020, memory: 64979, decode.loss_cls: 1.1773, decode.loss_mask: 0.8922, decode.loss_dice: 1.3953, decode.d0.loss_cls: 6.6458, decode.d0.loss_mask: 0.8622, decode.d0.loss_dice: 1.6577, decode.d1.loss_cls: 1.3202, decode.d1.loss_mask: 0.9045, decode.d1.loss_dice: 1.4680, decode.d2.loss_cls: 1.2200, decode.d2.loss_mask: 0.8929, decode.d2.loss_dice: 1.4255, decode.d3.loss_cls: 1.1925, decode.d3.loss_mask: 0.8912, decode.d3.loss_dice: 1.4022, decode.d4.loss_cls: 1.1844, decode.d4.loss_mask: 0.8892, decode.d4.loss_dice: 1.4089, decode.d5.loss_cls: 1.1737, decode.d5.loss_mask: 0.8893, decode.d5.loss_dice: 1.4007, decode.d6.loss_cls: 1.1672, decode.d6.loss_mask: 0.8925, decode.d6.loss_dice: 1.3998, decode.d7.loss_cls: 1.1660, decode.d7.loss_mask: 0.8922, decode.d7.loss_dice: 1.4001, decode.d8.loss_cls: 1.1659, decode.d8.loss_mask: 0.8908, decode.d8.loss_dice: 1.3894, loss: 40.6578 2022-04-29 01:00:35,503 - mmseg - INFO - Iter [9100/80000] lr: 1.272e-06, eta: 1 day, 12:25:18, time: 1.787, data_time: 0.016, memory: 64979, decode.loss_cls: 1.2091, decode.loss_mask: 0.8504, decode.loss_dice: 1.4128, decode.d0.loss_cls: 6.6293, decode.d0.loss_mask: 0.8280, decode.d0.loss_dice: 1.6808, decode.d1.loss_cls: 1.3328, decode.d1.loss_mask: 0.8686, decode.d1.loss_dice: 1.4910, decode.d2.loss_cls: 1.2377, decode.d2.loss_mask: 0.8623, decode.d2.loss_dice: 1.4381, decode.d3.loss_cls: 1.2135, decode.d3.loss_mask: 0.8588, decode.d3.loss_dice: 1.4152, decode.d4.loss_cls: 1.2029, decode.d4.loss_mask: 0.8603, decode.d4.loss_dice: 1.4176, decode.d5.loss_cls: 1.1960, decode.d5.loss_mask: 0.8551, decode.d5.loss_dice: 1.4122, decode.d6.loss_cls: 1.1904, decode.d6.loss_mask: 0.8546, decode.d6.loss_dice: 1.4040, decode.d7.loss_cls: 1.1957, decode.d7.loss_mask: 0.8502, decode.d7.loss_dice: 1.4113, decode.d8.loss_cls: 1.1892, decode.d8.loss_mask: 0.8591, decode.d8.loss_dice: 1.4140, loss: 40.6412 2022-04-29 01:02:03,743 - mmseg - INFO - Iter [9150/80000] lr: 1.272e-06, eta: 1 day, 12:23:13, time: 1.765, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1700, decode.loss_mask: 0.8717, decode.loss_dice: 1.3810, decode.d0.loss_cls: 6.5837, decode.d0.loss_mask: 0.8345, decode.d0.loss_dice: 1.6216, decode.d1.loss_cls: 1.3138, decode.d1.loss_mask: 0.8767, decode.d1.loss_dice: 1.4559, decode.d2.loss_cls: 1.2063, decode.d2.loss_mask: 0.8744, decode.d2.loss_dice: 1.3997, decode.d3.loss_cls: 1.1772, decode.d3.loss_mask: 0.8734, decode.d3.loss_dice: 1.3802, decode.d4.loss_cls: 1.1743, decode.d4.loss_mask: 0.8730, decode.d4.loss_dice: 1.3802, decode.d5.loss_cls: 1.1584, decode.d5.loss_mask: 0.8720, decode.d5.loss_dice: 1.3745, decode.d6.loss_cls: 1.1568, decode.d6.loss_mask: 0.8751, decode.d6.loss_dice: 1.3629, decode.d7.loss_cls: 1.1556, decode.d7.loss_mask: 0.8750, decode.d7.loss_dice: 1.3721, decode.d8.loss_cls: 1.1650, decode.d8.loss_mask: 0.8690, decode.d8.loss_dice: 1.3629, loss: 40.0470 2022-04-29 01:03:32,879 - mmseg - INFO - Iter [9200/80000] lr: 1.271e-06, eta: 1 day, 12:21:15, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1787, decode.loss_mask: 0.8827, decode.loss_dice: 1.4042, decode.d0.loss_cls: 6.5656, decode.d0.loss_mask: 0.8449, decode.d0.loss_dice: 1.6649, decode.d1.loss_cls: 1.3486, decode.d1.loss_mask: 0.8919, decode.d1.loss_dice: 1.4885, decode.d2.loss_cls: 1.2267, decode.d2.loss_mask: 0.8906, decode.d2.loss_dice: 1.4444, decode.d3.loss_cls: 1.2029, decode.d3.loss_mask: 0.8821, decode.d3.loss_dice: 1.4196, decode.d4.loss_cls: 1.1837, decode.d4.loss_mask: 0.8865, decode.d4.loss_dice: 1.4224, decode.d5.loss_cls: 1.1821, decode.d5.loss_mask: 0.8893, decode.d5.loss_dice: 1.4083, decode.d6.loss_cls: 1.1749, decode.d6.loss_mask: 0.8835, decode.d6.loss_dice: 1.4074, decode.d7.loss_cls: 1.1763, decode.d7.loss_mask: 0.8858, decode.d7.loss_dice: 1.4111, decode.d8.loss_cls: 1.1766, decode.d8.loss_mask: 0.8864, decode.d8.loss_dice: 1.4027, loss: 40.7132 2022-04-29 01:05:01,573 - mmseg - INFO - Iter [9250/80000] lr: 1.270e-06, eta: 1 day, 12:19:14, time: 1.774, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1664, decode.loss_mask: 0.8699, decode.loss_dice: 1.3672, decode.d0.loss_cls: 6.5309, decode.d0.loss_mask: 0.8394, decode.d0.loss_dice: 1.6294, decode.d1.loss_cls: 1.3263, decode.d1.loss_mask: 0.8859, decode.d1.loss_dice: 1.4396, decode.d2.loss_cls: 1.2099, decode.d2.loss_mask: 0.8784, decode.d2.loss_dice: 1.3909, decode.d3.loss_cls: 1.1788, decode.d3.loss_mask: 0.8740, decode.d3.loss_dice: 1.3750, decode.d4.loss_cls: 1.1620, decode.d4.loss_mask: 0.8770, decode.d4.loss_dice: 1.3663, decode.d5.loss_cls: 1.1577, decode.d5.loss_mask: 0.8737, decode.d5.loss_dice: 1.3678, decode.d6.loss_cls: 1.1537, decode.d6.loss_mask: 0.8714, decode.d6.loss_dice: 1.3572, decode.d7.loss_cls: 1.1575, decode.d7.loss_mask: 0.8740, decode.d7.loss_dice: 1.3685, decode.d8.loss_cls: 1.1559, decode.d8.loss_mask: 0.8719, decode.d8.loss_dice: 1.3619, loss: 39.9383 2022-04-29 01:06:30,050 - mmseg - INFO - Iter [9300/80000] lr: 1.269e-06, eta: 1 day, 12:17:11, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1846, decode.loss_mask: 0.8776, decode.loss_dice: 1.3895, decode.d0.loss_cls: 6.5338, decode.d0.loss_mask: 0.8397, decode.d0.loss_dice: 1.6583, decode.d1.loss_cls: 1.3461, decode.d1.loss_mask: 0.8935, decode.d1.loss_dice: 1.4714, decode.d2.loss_cls: 1.2415, decode.d2.loss_mask: 0.8860, decode.d2.loss_dice: 1.4179, decode.d3.loss_cls: 1.2169, decode.d3.loss_mask: 0.8766, decode.d3.loss_dice: 1.3974, decode.d4.loss_cls: 1.1984, decode.d4.loss_mask: 0.8841, decode.d4.loss_dice: 1.4008, decode.d5.loss_cls: 1.1903, decode.d5.loss_mask: 0.8711, decode.d5.loss_dice: 1.3946, decode.d6.loss_cls: 1.1814, decode.d6.loss_mask: 0.8808, decode.d6.loss_dice: 1.3908, decode.d7.loss_cls: 1.1810, decode.d7.loss_mask: 0.8706, decode.d7.loss_dice: 1.3866, decode.d8.loss_cls: 1.1697, decode.d8.loss_mask: 0.8780, decode.d8.loss_dice: 1.3908, loss: 40.5000 2022-04-29 01:07:59,651 - mmseg - INFO - Iter [9350/80000] lr: 1.268e-06, eta: 1 day, 12:15:17, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1641, decode.loss_mask: 0.8602, decode.loss_dice: 1.3801, decode.d0.loss_cls: 6.4573, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.6297, decode.d1.loss_cls: 1.2985, decode.d1.loss_mask: 0.8756, decode.d1.loss_dice: 1.4490, decode.d2.loss_cls: 1.2006, decode.d2.loss_mask: 0.8621, decode.d2.loss_dice: 1.4134, decode.d3.loss_cls: 1.1832, decode.d3.loss_mask: 0.8615, decode.d3.loss_dice: 1.3911, decode.d4.loss_cls: 1.1753, decode.d4.loss_mask: 0.8607, decode.d4.loss_dice: 1.3912, decode.d5.loss_cls: 1.1636, decode.d5.loss_mask: 0.8652, decode.d5.loss_dice: 1.3876, decode.d6.loss_cls: 1.1646, decode.d6.loss_mask: 0.8613, decode.d6.loss_dice: 1.3837, decode.d7.loss_cls: 1.1673, decode.d7.loss_mask: 0.8611, decode.d7.loss_dice: 1.3819, decode.d8.loss_cls: 1.1660, decode.d8.loss_mask: 0.8559, decode.d8.loss_dice: 1.3853, loss: 39.9281 2022-04-29 01:09:28,478 - mmseg - INFO - Iter [9400/80000] lr: 1.267e-06, eta: 1 day, 12:13:19, time: 1.778, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1647, decode.loss_mask: 0.8800, decode.loss_dice: 1.3870, decode.d0.loss_cls: 6.4117, decode.d0.loss_mask: 0.8490, decode.d0.loss_dice: 1.6445, decode.d1.loss_cls: 1.2942, decode.d1.loss_mask: 0.8912, decode.d1.loss_dice: 1.4739, decode.d2.loss_cls: 1.1960, decode.d2.loss_mask: 0.8869, decode.d2.loss_dice: 1.4240, decode.d3.loss_cls: 1.1757, decode.d3.loss_mask: 0.8823, decode.d3.loss_dice: 1.3986, decode.d4.loss_cls: 1.1734, decode.d4.loss_mask: 0.8791, decode.d4.loss_dice: 1.4010, decode.d5.loss_cls: 1.1617, decode.d5.loss_mask: 0.8742, decode.d5.loss_dice: 1.3963, decode.d6.loss_cls: 1.1607, decode.d6.loss_mask: 0.8703, decode.d6.loss_dice: 1.3848, decode.d7.loss_cls: 1.1546, decode.d7.loss_mask: 0.8721, decode.d7.loss_dice: 1.3899, decode.d8.loss_cls: 1.1576, decode.d8.loss_mask: 0.8731, decode.d8.loss_dice: 1.3883, loss: 40.0969 2022-04-29 01:10:56,771 - mmseg - INFO - Iter [9450/80000] lr: 1.266e-06, eta: 1 day, 12:11:16, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1813, decode.loss_mask: 0.8669, decode.loss_dice: 1.4007, decode.d0.loss_cls: 6.4413, decode.d0.loss_mask: 0.8389, decode.d0.loss_dice: 1.6742, decode.d1.loss_cls: 1.3110, decode.d1.loss_mask: 0.8921, decode.d1.loss_dice: 1.4893, decode.d2.loss_cls: 1.2042, decode.d2.loss_mask: 0.8773, decode.d2.loss_dice: 1.4392, decode.d3.loss_cls: 1.1843, decode.d3.loss_mask: 0.8733, decode.d3.loss_dice: 1.4206, decode.d4.loss_cls: 1.1765, decode.d4.loss_mask: 0.8776, decode.d4.loss_dice: 1.4083, decode.d5.loss_cls: 1.1735, decode.d5.loss_mask: 0.8695, decode.d5.loss_dice: 1.3973, decode.d6.loss_cls: 1.1710, decode.d6.loss_mask: 0.8669, decode.d6.loss_dice: 1.3979, decode.d7.loss_cls: 1.1614, decode.d7.loss_mask: 0.8700, decode.d7.loss_dice: 1.4048, decode.d8.loss_cls: 1.1709, decode.d8.loss_mask: 0.8683, decode.d8.loss_dice: 1.3997, loss: 40.3080 2022-04-29 01:12:25,215 - mmseg - INFO - Iter [9500/80000] lr: 1.265e-06, eta: 1 day, 12:09:15, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1333, decode.loss_mask: 0.8760, decode.loss_dice: 1.3629, decode.d0.loss_cls: 6.3562, decode.d0.loss_mask: 0.8344, decode.d0.loss_dice: 1.6279, decode.d1.loss_cls: 1.2670, decode.d1.loss_mask: 0.8823, decode.d1.loss_dice: 1.4399, decode.d2.loss_cls: 1.1641, decode.d2.loss_mask: 0.8771, decode.d2.loss_dice: 1.4045, decode.d3.loss_cls: 1.1464, decode.d3.loss_mask: 0.8775, decode.d3.loss_dice: 1.3789, decode.d4.loss_cls: 1.1387, decode.d4.loss_mask: 0.8774, decode.d4.loss_dice: 1.3745, decode.d5.loss_cls: 1.1277, decode.d5.loss_mask: 0.8777, decode.d5.loss_dice: 1.3664, decode.d6.loss_cls: 1.1285, decode.d6.loss_mask: 0.8710, decode.d6.loss_dice: 1.3605, decode.d7.loss_cls: 1.1288, decode.d7.loss_mask: 0.8748, decode.d7.loss_dice: 1.3661, decode.d8.loss_cls: 1.1316, decode.d8.loss_mask: 0.8747, decode.d8.loss_dice: 1.3579, loss: 39.4848 2022-04-29 01:13:53,087 - mmseg - INFO - Iter [9550/80000] lr: 1.264e-06, eta: 1 day, 12:07:10, time: 1.757, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1411, decode.loss_mask: 0.8783, decode.loss_dice: 1.3785, decode.d0.loss_cls: 6.3294, decode.d0.loss_mask: 0.8340, decode.d0.loss_dice: 1.6383, decode.d1.loss_cls: 1.2746, decode.d1.loss_mask: 0.8954, decode.d1.loss_dice: 1.4692, decode.d2.loss_cls: 1.1735, decode.d2.loss_mask: 0.8856, decode.d2.loss_dice: 1.4069, decode.d3.loss_cls: 1.1513, decode.d3.loss_mask: 0.8860, decode.d3.loss_dice: 1.3903, decode.d4.loss_cls: 1.1434, decode.d4.loss_mask: 0.8913, decode.d4.loss_dice: 1.3920, decode.d5.loss_cls: 1.1326, decode.d5.loss_mask: 0.8800, decode.d5.loss_dice: 1.3897, decode.d6.loss_cls: 1.1304, decode.d6.loss_mask: 0.8798, decode.d6.loss_dice: 1.3821, decode.d7.loss_cls: 1.1374, decode.d7.loss_mask: 0.8777, decode.d7.loss_dice: 1.3786, decode.d8.loss_cls: 1.1367, decode.d8.loss_mask: 0.8754, decode.d8.loss_dice: 1.3789, loss: 39.7382 2022-04-29 01:15:21,508 - mmseg - INFO - Iter [9600/80000] lr: 1.264e-06, eta: 1 day, 12:05:10, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1385, decode.loss_mask: 0.8808, decode.loss_dice: 1.4086, decode.d0.loss_cls: 6.2944, decode.d0.loss_mask: 0.8412, decode.d0.loss_dice: 1.6432, decode.d1.loss_cls: 1.2760, decode.d1.loss_mask: 0.8898, decode.d1.loss_dice: 1.4836, decode.d2.loss_cls: 1.1636, decode.d2.loss_mask: 0.8840, decode.d2.loss_dice: 1.4402, decode.d3.loss_cls: 1.1449, decode.d3.loss_mask: 0.8773, decode.d3.loss_dice: 1.4194, decode.d4.loss_cls: 1.1324, decode.d4.loss_mask: 0.8841, decode.d4.loss_dice: 1.4205, decode.d5.loss_cls: 1.1287, decode.d5.loss_mask: 0.8737, decode.d5.loss_dice: 1.4067, decode.d6.loss_cls: 1.1285, decode.d6.loss_mask: 0.8707, decode.d6.loss_dice: 1.4068, decode.d7.loss_cls: 1.1254, decode.d7.loss_mask: 0.8734, decode.d7.loss_dice: 1.4108, decode.d8.loss_cls: 1.1325, decode.d8.loss_mask: 0.8791, decode.d8.loss_dice: 1.4040, loss: 39.8628 2022-04-29 01:16:50,363 - mmseg - INFO - Iter [9650/80000] lr: 1.263e-06, eta: 1 day, 12:03:12, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1421, decode.loss_mask: 0.8857, decode.loss_dice: 1.3682, decode.d0.loss_cls: 6.2809, decode.d0.loss_mask: 0.8545, decode.d0.loss_dice: 1.6215, decode.d1.loss_cls: 1.2961, decode.d1.loss_mask: 0.9011, decode.d1.loss_dice: 1.4485, decode.d2.loss_cls: 1.1884, decode.d2.loss_mask: 0.8936, decode.d2.loss_dice: 1.4020, decode.d3.loss_cls: 1.1745, decode.d3.loss_mask: 0.8892, decode.d3.loss_dice: 1.3786, decode.d4.loss_cls: 1.1590, decode.d4.loss_mask: 0.8872, decode.d4.loss_dice: 1.3817, decode.d5.loss_cls: 1.1502, decode.d5.loss_mask: 0.8834, decode.d5.loss_dice: 1.3742, decode.d6.loss_cls: 1.1495, decode.d6.loss_mask: 0.8872, decode.d6.loss_dice: 1.3689, decode.d7.loss_cls: 1.1494, decode.d7.loss_mask: 0.8824, decode.d7.loss_dice: 1.3668, decode.d8.loss_cls: 1.1395, decode.d8.loss_mask: 0.8858, decode.d8.loss_dice: 1.3619, loss: 39.7519 2022-04-29 01:18:18,695 - mmseg - INFO - Iter [9700/80000] lr: 1.262e-06, eta: 1 day, 12:01:12, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1797, decode.loss_mask: 0.8801, decode.loss_dice: 1.3853, decode.d0.loss_cls: 6.2484, decode.d0.loss_mask: 0.8383, decode.d0.loss_dice: 1.6301, decode.d1.loss_cls: 1.3126, decode.d1.loss_mask: 0.8919, decode.d1.loss_dice: 1.4630, decode.d2.loss_cls: 1.1983, decode.d2.loss_mask: 0.8872, decode.d2.loss_dice: 1.4145, decode.d3.loss_cls: 1.1772, decode.d3.loss_mask: 0.8873, decode.d3.loss_dice: 1.3966, decode.d4.loss_cls: 1.1812, decode.d4.loss_mask: 0.8823, decode.d4.loss_dice: 1.3999, decode.d5.loss_cls: 1.1763, decode.d5.loss_mask: 0.8803, decode.d5.loss_dice: 1.3915, decode.d6.loss_cls: 1.1692, decode.d6.loss_mask: 0.8821, decode.d6.loss_dice: 1.3852, decode.d7.loss_cls: 1.1695, decode.d7.loss_mask: 0.8822, decode.d7.loss_dice: 1.3888, decode.d8.loss_cls: 1.1644, decode.d8.loss_mask: 0.8831, decode.d8.loss_dice: 1.3847, loss: 40.0114 2022-04-29 01:19:47,148 - mmseg - INFO - Iter [9750/80000] lr: 1.261e-06, eta: 1 day, 11:59:12, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1627, decode.loss_mask: 0.8612, decode.loss_dice: 1.3831, decode.d0.loss_cls: 6.2126, decode.d0.loss_mask: 0.8255, decode.d0.loss_dice: 1.6393, decode.d1.loss_cls: 1.2928, decode.d1.loss_mask: 0.8758, decode.d1.loss_dice: 1.4699, decode.d2.loss_cls: 1.1914, decode.d2.loss_mask: 0.8616, decode.d2.loss_dice: 1.4223, decode.d3.loss_cls: 1.1687, decode.d3.loss_mask: 0.8611, decode.d3.loss_dice: 1.3839, decode.d4.loss_cls: 1.1634, decode.d4.loss_mask: 0.8514, decode.d4.loss_dice: 1.3855, decode.d5.loss_cls: 1.1583, decode.d5.loss_mask: 0.8548, decode.d5.loss_dice: 1.3840, decode.d6.loss_cls: 1.1589, decode.d6.loss_mask: 0.8482, decode.d6.loss_dice: 1.3728, decode.d7.loss_cls: 1.1536, decode.d7.loss_mask: 0.8535, decode.d7.loss_dice: 1.3785, decode.d8.loss_cls: 1.1593, decode.d8.loss_mask: 0.8567, decode.d8.loss_dice: 1.3848, loss: 39.5756 2022-04-29 01:21:16,224 - mmseg - INFO - Iter [9800/80000] lr: 1.260e-06, eta: 1 day, 11:57:18, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1236, decode.loss_mask: 0.8847, decode.loss_dice: 1.3714, decode.d0.loss_cls: 6.1670, decode.d0.loss_mask: 0.8523, decode.d0.loss_dice: 1.6238, decode.d1.loss_cls: 1.2688, decode.d1.loss_mask: 0.8932, decode.d1.loss_dice: 1.4465, decode.d2.loss_cls: 1.1699, decode.d2.loss_mask: 0.8826, decode.d2.loss_dice: 1.3978, decode.d3.loss_cls: 1.1492, decode.d3.loss_mask: 0.8772, decode.d3.loss_dice: 1.3818, decode.d4.loss_cls: 1.1430, decode.d4.loss_mask: 0.8767, decode.d4.loss_dice: 1.3855, decode.d5.loss_cls: 1.1286, decode.d5.loss_mask: 0.8808, decode.d5.loss_dice: 1.3852, decode.d6.loss_cls: 1.1172, decode.d6.loss_mask: 0.8773, decode.d6.loss_dice: 1.3621, decode.d7.loss_cls: 1.1212, decode.d7.loss_mask: 0.8836, decode.d7.loss_dice: 1.3663, decode.d8.loss_cls: 1.1164, decode.d8.loss_mask: 0.8889, decode.d8.loss_dice: 1.3690, loss: 39.3918 2022-04-29 01:22:45,558 - mmseg - INFO - Iter [9850/80000] lr: 1.259e-06, eta: 1 day, 11:55:25, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1330, decode.loss_mask: 0.8646, decode.loss_dice: 1.3781, decode.d0.loss_cls: 6.1453, decode.d0.loss_mask: 0.8358, decode.d0.loss_dice: 1.6252, decode.d1.loss_cls: 1.2608, decode.d1.loss_mask: 0.8906, decode.d1.loss_dice: 1.4498, decode.d2.loss_cls: 1.1622, decode.d2.loss_mask: 0.8749, decode.d2.loss_dice: 1.4148, decode.d3.loss_cls: 1.1398, decode.d3.loss_mask: 0.8710, decode.d3.loss_dice: 1.3966, decode.d4.loss_cls: 1.1375, decode.d4.loss_mask: 0.8689, decode.d4.loss_dice: 1.3920, decode.d5.loss_cls: 1.1290, decode.d5.loss_mask: 0.8652, decode.d5.loss_dice: 1.3875, decode.d6.loss_cls: 1.1267, decode.d6.loss_mask: 0.8663, decode.d6.loss_dice: 1.3727, decode.d7.loss_cls: 1.1268, decode.d7.loss_mask: 0.8656, decode.d7.loss_dice: 1.3726, decode.d8.loss_cls: 1.1197, decode.d8.loss_mask: 0.8688, decode.d8.loss_dice: 1.3758, loss: 39.3178 2022-04-29 01:24:14,409 - mmseg - INFO - Iter [9900/80000] lr: 1.258e-06, eta: 1 day, 11:53:29, time: 1.777, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1420, decode.loss_mask: 0.8712, decode.loss_dice: 1.4097, decode.d0.loss_cls: 6.1233, decode.d0.loss_mask: 0.8449, decode.d0.loss_dice: 1.6650, decode.d1.loss_cls: 1.2796, decode.d1.loss_mask: 0.8770, decode.d1.loss_dice: 1.4878, decode.d2.loss_cls: 1.1873, decode.d2.loss_mask: 0.8636, decode.d2.loss_dice: 1.4364, decode.d3.loss_cls: 1.1603, decode.d3.loss_mask: 0.8681, decode.d3.loss_dice: 1.4176, decode.d4.loss_cls: 1.1508, decode.d4.loss_mask: 0.8693, decode.d4.loss_dice: 1.4229, decode.d5.loss_cls: 1.1408, decode.d5.loss_mask: 0.8662, decode.d5.loss_dice: 1.4144, decode.d6.loss_cls: 1.1444, decode.d6.loss_mask: 0.8617, decode.d6.loss_dice: 1.3988, decode.d7.loss_cls: 1.1415, decode.d7.loss_mask: 0.8691, decode.d7.loss_dice: 1.4094, decode.d8.loss_cls: 1.1367, decode.d8.loss_mask: 0.8645, decode.d8.loss_dice: 1.4153, loss: 39.7398 2022-04-29 01:25:42,486 - mmseg - INFO - Iter [9950/80000] lr: 1.257e-06, eta: 1 day, 11:51:29, time: 1.762, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1222, decode.loss_mask: 0.8703, decode.loss_dice: 1.3766, decode.d0.loss_cls: 6.0903, decode.d0.loss_mask: 0.8245, decode.d0.loss_dice: 1.5901, decode.d1.loss_cls: 1.2509, decode.d1.loss_mask: 0.8753, decode.d1.loss_dice: 1.4390, decode.d2.loss_cls: 1.1538, decode.d2.loss_mask: 0.8701, decode.d2.loss_dice: 1.3929, decode.d3.loss_cls: 1.1315, decode.d3.loss_mask: 0.8688, decode.d3.loss_dice: 1.3779, decode.d4.loss_cls: 1.1180, decode.d4.loss_mask: 0.8725, decode.d4.loss_dice: 1.3807, decode.d5.loss_cls: 1.1138, decode.d5.loss_mask: 0.8719, decode.d5.loss_dice: 1.3782, decode.d6.loss_cls: 1.1117, decode.d6.loss_mask: 0.8640, decode.d6.loss_dice: 1.3679, decode.d7.loss_cls: 1.1060, decode.d7.loss_mask: 0.8672, decode.d7.loss_dice: 1.3701, decode.d8.loss_cls: 1.1113, decode.d8.loss_mask: 0.8630, decode.d8.loss_dice: 1.3779, loss: 39.0083 2022-04-29 01:27:12,039 - mmseg - INFO - Saving checkpoint at 10000 iterations 2022-04-29 01:27:30,719 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 01:27:30,727 - mmseg - INFO - Iter [10000/80000] lr: 1.256e-06, eta: 1 day, 11:51:48, time: 2.162, data_time: 0.017, memory: 64979, decode.loss_cls: 1.1224, decode.loss_mask: 0.8336, decode.loss_dice: 1.3416, decode.d0.loss_cls: 6.0659, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.5957, decode.d1.loss_cls: 1.2587, decode.d1.loss_mask: 0.8477, decode.d1.loss_dice: 1.4174, decode.d2.loss_cls: 1.1611, decode.d2.loss_mask: 0.8346, decode.d2.loss_dice: 1.3793, decode.d3.loss_cls: 1.1451, decode.d3.loss_mask: 0.8336, decode.d3.loss_dice: 1.3463, decode.d4.loss_cls: 1.1336, decode.d4.loss_mask: 0.8328, decode.d4.loss_dice: 1.3576, decode.d5.loss_cls: 1.1280, decode.d5.loss_mask: 0.8327, decode.d5.loss_dice: 1.3470, decode.d6.loss_cls: 1.1228, decode.d6.loss_mask: 0.8313, decode.d6.loss_dice: 1.3409, decode.d7.loss_cls: 1.1256, decode.d7.loss_mask: 0.8292, decode.d7.loss_dice: 1.3416, decode.d8.loss_cls: 1.1237, decode.d8.loss_mask: 0.8287, decode.d8.loss_dice: 1.3399, loss: 38.4912 2022-04-29 01:29:00,339 - mmseg - INFO - Iter [10050/80000] lr: 1.255e-06, eta: 1 day, 11:49:59, time: 1.794, data_time: 0.017, memory: 64979, decode.loss_cls: 1.1375, decode.loss_mask: 0.8745, decode.loss_dice: 1.3871, decode.d0.loss_cls: 6.0408, decode.d0.loss_mask: 0.8414, decode.d0.loss_dice: 1.6295, decode.d1.loss_cls: 1.2668, decode.d1.loss_mask: 0.8842, decode.d1.loss_dice: 1.4700, decode.d2.loss_cls: 1.1751, decode.d2.loss_mask: 0.8769, decode.d2.loss_dice: 1.4207, decode.d3.loss_cls: 1.1560, decode.d3.loss_mask: 0.8717, decode.d3.loss_dice: 1.3933, decode.d4.loss_cls: 1.1497, decode.d4.loss_mask: 0.8728, decode.d4.loss_dice: 1.4021, decode.d5.loss_cls: 1.1321, decode.d5.loss_mask: 0.8685, decode.d5.loss_dice: 1.3948, decode.d6.loss_cls: 1.1343, decode.d6.loss_mask: 0.8746, decode.d6.loss_dice: 1.3833, decode.d7.loss_cls: 1.1306, decode.d7.loss_mask: 0.8716, decode.d7.loss_dice: 1.3854, decode.d8.loss_cls: 1.1252, decode.d8.loss_mask: 0.8795, decode.d8.loss_dice: 1.3801, loss: 39.4102 2022-04-29 01:30:29,794 - mmseg - INFO - Iter [10100/80000] lr: 1.255e-06, eta: 1 day, 11:48:07, time: 1.790, data_time: 0.013, memory: 64979, decode.loss_cls: 1.0770, decode.loss_mask: 0.8612, decode.loss_dice: 1.3559, decode.d0.loss_cls: 5.9682, decode.d0.loss_mask: 0.8250, decode.d0.loss_dice: 1.6035, decode.d1.loss_cls: 1.2241, decode.d1.loss_mask: 0.8775, decode.d1.loss_dice: 1.4320, decode.d2.loss_cls: 1.1268, decode.d2.loss_mask: 0.8666, decode.d2.loss_dice: 1.3805, decode.d3.loss_cls: 1.0930, decode.d3.loss_mask: 0.8676, decode.d3.loss_dice: 1.3697, decode.d4.loss_cls: 1.0837, decode.d4.loss_mask: 0.8640, decode.d4.loss_dice: 1.3656, decode.d5.loss_cls: 1.0744, decode.d5.loss_mask: 0.8586, decode.d5.loss_dice: 1.3537, decode.d6.loss_cls: 1.0682, decode.d6.loss_mask: 0.8580, decode.d6.loss_dice: 1.3423, decode.d7.loss_cls: 1.0696, decode.d7.loss_mask: 0.8601, decode.d7.loss_dice: 1.3535, decode.d8.loss_cls: 1.0673, decode.d8.loss_mask: 0.8648, decode.d8.loss_dice: 1.3551, loss: 38.3672 2022-04-29 01:31:59,264 - mmseg - INFO - Iter [10150/80000] lr: 1.254e-06, eta: 1 day, 11:46:16, time: 1.787, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1151, decode.loss_mask: 0.8788, decode.loss_dice: 1.4016, decode.d0.loss_cls: 5.9499, decode.d0.loss_mask: 0.8420, decode.d0.loss_dice: 1.6465, decode.d1.loss_cls: 1.2628, decode.d1.loss_mask: 0.8845, decode.d1.loss_dice: 1.4821, decode.d2.loss_cls: 1.1563, decode.d2.loss_mask: 0.8777, decode.d2.loss_dice: 1.4241, decode.d3.loss_cls: 1.1323, decode.d3.loss_mask: 0.8751, decode.d3.loss_dice: 1.4111, decode.d4.loss_cls: 1.1228, decode.d4.loss_mask: 0.8772, decode.d4.loss_dice: 1.4097, decode.d5.loss_cls: 1.1148, decode.d5.loss_mask: 0.8800, decode.d5.loss_dice: 1.4036, decode.d6.loss_cls: 1.1099, decode.d6.loss_mask: 0.8829, decode.d6.loss_dice: 1.3950, decode.d7.loss_cls: 1.1160, decode.d7.loss_mask: 0.8825, decode.d7.loss_dice: 1.3980, decode.d8.loss_cls: 1.1105, decode.d8.loss_mask: 0.8824, decode.d8.loss_dice: 1.3988, loss: 39.3241 2022-04-29 01:33:28,560 - mmseg - INFO - Iter [10200/80000] lr: 1.253e-06, eta: 1 day, 11:44:25, time: 1.788, data_time: 0.017, memory: 64979, decode.loss_cls: 1.1227, decode.loss_mask: 0.8593, decode.loss_dice: 1.3672, decode.d0.loss_cls: 5.9469, decode.d0.loss_mask: 0.8373, decode.d0.loss_dice: 1.6279, decode.d1.loss_cls: 1.2538, decode.d1.loss_mask: 0.8734, decode.d1.loss_dice: 1.4554, decode.d2.loss_cls: 1.1593, decode.d2.loss_mask: 0.8757, decode.d2.loss_dice: 1.4071, decode.d3.loss_cls: 1.1411, decode.d3.loss_mask: 0.8680, decode.d3.loss_dice: 1.3782, decode.d4.loss_cls: 1.1336, decode.d4.loss_mask: 0.8669, decode.d4.loss_dice: 1.3784, decode.d5.loss_cls: 1.1325, decode.d5.loss_mask: 0.8628, decode.d5.loss_dice: 1.3729, decode.d6.loss_cls: 1.1225, decode.d6.loss_mask: 0.8620, decode.d6.loss_dice: 1.3711, decode.d7.loss_cls: 1.1313, decode.d7.loss_mask: 0.8561, decode.d7.loss_dice: 1.3756, decode.d8.loss_cls: 1.1250, decode.d8.loss_mask: 0.8549, decode.d8.loss_dice: 1.3702, loss: 38.9892 2022-04-29 01:34:56,707 - mmseg - INFO - Iter [10250/80000] lr: 1.252e-06, eta: 1 day, 11:42:25, time: 1.763, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1261, decode.loss_mask: 0.8731, decode.loss_dice: 1.3399, decode.d0.loss_cls: 5.9107, decode.d0.loss_mask: 0.8371, decode.d0.loss_dice: 1.6014, decode.d1.loss_cls: 1.2587, decode.d1.loss_mask: 0.8829, decode.d1.loss_dice: 1.4180, decode.d2.loss_cls: 1.1614, decode.d2.loss_mask: 0.8809, decode.d2.loss_dice: 1.3659, decode.d3.loss_cls: 1.1509, decode.d3.loss_mask: 0.8654, decode.d3.loss_dice: 1.3475, decode.d4.loss_cls: 1.1318, decode.d4.loss_mask: 0.8676, decode.d4.loss_dice: 1.3463, decode.d5.loss_cls: 1.1298, decode.d5.loss_mask: 0.8696, decode.d5.loss_dice: 1.3491, decode.d6.loss_cls: 1.1270, decode.d6.loss_mask: 0.8740, decode.d6.loss_dice: 1.3410, decode.d7.loss_cls: 1.1203, decode.d7.loss_mask: 0.8730, decode.d7.loss_dice: 1.3422, decode.d8.loss_cls: 1.1261, decode.d8.loss_mask: 0.8699, decode.d8.loss_dice: 1.3412, loss: 38.7290 2022-04-29 01:36:25,871 - mmseg - INFO - Iter [10300/80000] lr: 1.251e-06, eta: 1 day, 11:40:33, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1332, decode.loss_mask: 0.8538, decode.loss_dice: 1.3671, decode.d0.loss_cls: 5.8708, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.6057, decode.d1.loss_cls: 1.2538, decode.d1.loss_mask: 0.8838, decode.d1.loss_dice: 1.4614, decode.d2.loss_cls: 1.1570, decode.d2.loss_mask: 0.8731, decode.d2.loss_dice: 1.4053, decode.d3.loss_cls: 1.1431, decode.d3.loss_mask: 0.8711, decode.d3.loss_dice: 1.3855, decode.d4.loss_cls: 1.1309, decode.d4.loss_mask: 0.8673, decode.d4.loss_dice: 1.3784, decode.d5.loss_cls: 1.1266, decode.d5.loss_mask: 0.8630, decode.d5.loss_dice: 1.3806, decode.d6.loss_cls: 1.1236, decode.d6.loss_mask: 0.8652, decode.d6.loss_dice: 1.3673, decode.d7.loss_cls: 1.1256, decode.d7.loss_mask: 0.8675, decode.d7.loss_dice: 1.3713, decode.d8.loss_cls: 1.1155, decode.d8.loss_mask: 0.8636, decode.d8.loss_dice: 1.3693, loss: 38.9184 2022-04-29 01:37:55,016 - mmseg - INFO - Iter [10350/80000] lr: 1.250e-06, eta: 1 day, 11:38:40, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1131, decode.loss_mask: 0.8648, decode.loss_dice: 1.3449, decode.d0.loss_cls: 5.8470, decode.d0.loss_mask: 0.8273, decode.d0.loss_dice: 1.6040, decode.d1.loss_cls: 1.2522, decode.d1.loss_mask: 0.8829, decode.d1.loss_dice: 1.4344, decode.d2.loss_cls: 1.1591, decode.d2.loss_mask: 0.8701, decode.d2.loss_dice: 1.3864, decode.d3.loss_cls: 1.1353, decode.d3.loss_mask: 0.8636, decode.d3.loss_dice: 1.3606, decode.d4.loss_cls: 1.1254, decode.d4.loss_mask: 0.8689, decode.d4.loss_dice: 1.3677, decode.d5.loss_cls: 1.1218, decode.d5.loss_mask: 0.8662, decode.d5.loss_dice: 1.3571, decode.d6.loss_cls: 1.1118, decode.d6.loss_mask: 0.8604, decode.d6.loss_dice: 1.3431, decode.d7.loss_cls: 1.1125, decode.d7.loss_mask: 0.8603, decode.d7.loss_dice: 1.3436, decode.d8.loss_cls: 1.1064, decode.d8.loss_mask: 0.8646, decode.d8.loss_dice: 1.3506, loss: 38.6060 2022-04-29 01:39:24,467 - mmseg - INFO - Iter [10400/80000] lr: 1.249e-06, eta: 1 day, 11:36:50, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1482, decode.loss_mask: 0.8785, decode.loss_dice: 1.3728, decode.d0.loss_cls: 5.8201, decode.d0.loss_mask: 0.8546, decode.d0.loss_dice: 1.6340, decode.d1.loss_cls: 1.2731, decode.d1.loss_mask: 0.8958, decode.d1.loss_dice: 1.4541, decode.d2.loss_cls: 1.1792, decode.d2.loss_mask: 0.8925, decode.d2.loss_dice: 1.4019, decode.d3.loss_cls: 1.1608, decode.d3.loss_mask: 0.8900, decode.d3.loss_dice: 1.3862, decode.d4.loss_cls: 1.1591, decode.d4.loss_mask: 0.8832, decode.d4.loss_dice: 1.3897, decode.d5.loss_cls: 1.1567, decode.d5.loss_mask: 0.8861, decode.d5.loss_dice: 1.3883, decode.d6.loss_cls: 1.1428, decode.d6.loss_mask: 0.8854, decode.d6.loss_dice: 1.3810, decode.d7.loss_cls: 1.1456, decode.d7.loss_mask: 0.8820, decode.d7.loss_dice: 1.3859, decode.d8.loss_cls: 1.1459, decode.d8.loss_mask: 0.8785, decode.d8.loss_dice: 1.3795, loss: 39.3312 2022-04-29 01:40:53,601 - mmseg - INFO - Iter [10450/80000] lr: 1.248e-06, eta: 1 day, 11:34:59, time: 1.782, data_time: 0.017, memory: 64979, decode.loss_cls: 1.1281, decode.loss_mask: 0.8756, decode.loss_dice: 1.3904, decode.d0.loss_cls: 5.7777, decode.d0.loss_mask: 0.8346, decode.d0.loss_dice: 1.6376, decode.d1.loss_cls: 1.2370, decode.d1.loss_mask: 0.8908, decode.d1.loss_dice: 1.4639, decode.d2.loss_cls: 1.1437, decode.d2.loss_mask: 0.8812, decode.d2.loss_dice: 1.4228, decode.d3.loss_cls: 1.1231, decode.d3.loss_mask: 0.8774, decode.d3.loss_dice: 1.3940, decode.d4.loss_cls: 1.1159, decode.d4.loss_mask: 0.8793, decode.d4.loss_dice: 1.4051, decode.d5.loss_cls: 1.1178, decode.d5.loss_mask: 0.8826, decode.d5.loss_dice: 1.3945, decode.d6.loss_cls: 1.1170, decode.d6.loss_mask: 0.8849, decode.d6.loss_dice: 1.3856, decode.d7.loss_cls: 1.1120, decode.d7.loss_mask: 0.8743, decode.d7.loss_dice: 1.3921, decode.d8.loss_cls: 1.1166, decode.d8.loss_mask: 0.8755, decode.d8.loss_dice: 1.3934, loss: 39.0245 2022-04-29 01:42:22,473 - mmseg - INFO - Iter [10500/80000] lr: 1.247e-06, eta: 1 day, 11:33:05, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0844, decode.loss_mask: 0.8771, decode.loss_dice: 1.3614, decode.d0.loss_cls: 5.7333, decode.d0.loss_mask: 0.8495, decode.d0.loss_dice: 1.6156, decode.d1.loss_cls: 1.2194, decode.d1.loss_mask: 0.8858, decode.d1.loss_dice: 1.4595, decode.d2.loss_cls: 1.1230, decode.d2.loss_mask: 0.8828, decode.d2.loss_dice: 1.4055, decode.d3.loss_cls: 1.1021, decode.d3.loss_mask: 0.8746, decode.d3.loss_dice: 1.3857, decode.d4.loss_cls: 1.0863, decode.d4.loss_mask: 0.8761, decode.d4.loss_dice: 1.3866, decode.d5.loss_cls: 1.0793, decode.d5.loss_mask: 0.8712, decode.d5.loss_dice: 1.3757, decode.d6.loss_cls: 1.0745, decode.d6.loss_mask: 0.8704, decode.d6.loss_dice: 1.3616, decode.d7.loss_cls: 1.0892, decode.d7.loss_mask: 0.8692, decode.d7.loss_dice: 1.3599, decode.d8.loss_cls: 1.0758, decode.d8.loss_mask: 0.8781, decode.d8.loss_dice: 1.3650, loss: 38.4788 2022-04-29 01:43:51,150 - mmseg - INFO - Iter [10550/80000] lr: 1.246e-06, eta: 1 day, 11:31:10, time: 1.772, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1142, decode.loss_mask: 0.8478, decode.loss_dice: 1.3421, decode.d0.loss_cls: 5.7095, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.6074, decode.d1.loss_cls: 1.2389, decode.d1.loss_mask: 0.8742, decode.d1.loss_dice: 1.4235, decode.d2.loss_cls: 1.1466, decode.d2.loss_mask: 0.8633, decode.d2.loss_dice: 1.3786, decode.d3.loss_cls: 1.1318, decode.d3.loss_mask: 0.8558, decode.d3.loss_dice: 1.3494, decode.d4.loss_cls: 1.1223, decode.d4.loss_mask: 0.8585, decode.d4.loss_dice: 1.3601, decode.d5.loss_cls: 1.1151, decode.d5.loss_mask: 0.8543, decode.d5.loss_dice: 1.3506, decode.d6.loss_cls: 1.1134, decode.d6.loss_mask: 0.8468, decode.d6.loss_dice: 1.3433, decode.d7.loss_cls: 1.1211, decode.d7.loss_mask: 0.8491, decode.d7.loss_dice: 1.3497, decode.d8.loss_cls: 1.1121, decode.d8.loss_mask: 0.8527, decode.d8.loss_dice: 1.3446, loss: 38.3150 2022-04-29 01:45:19,854 - mmseg - INFO - Iter [10600/80000] lr: 1.246e-06, eta: 1 day, 11:29:17, time: 1.776, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1125, decode.loss_mask: 0.9113, decode.loss_dice: 1.3707, decode.d0.loss_cls: 5.6958, decode.d0.loss_mask: 0.8823, decode.d0.loss_dice: 1.6228, decode.d1.loss_cls: 1.2514, decode.d1.loss_mask: 0.9197, decode.d1.loss_dice: 1.4571, decode.d2.loss_cls: 1.1564, decode.d2.loss_mask: 0.9073, decode.d2.loss_dice: 1.4106, decode.d3.loss_cls: 1.1377, decode.d3.loss_mask: 0.9006, decode.d3.loss_dice: 1.3927, decode.d4.loss_cls: 1.1293, decode.d4.loss_mask: 0.9024, decode.d4.loss_dice: 1.3885, decode.d5.loss_cls: 1.1237, decode.d5.loss_mask: 0.8963, decode.d5.loss_dice: 1.3859, decode.d6.loss_cls: 1.1202, decode.d6.loss_mask: 0.8984, decode.d6.loss_dice: 1.3676, decode.d7.loss_cls: 1.1197, decode.d7.loss_mask: 0.9085, decode.d7.loss_dice: 1.3727, decode.d8.loss_cls: 1.1124, decode.d8.loss_mask: 0.9108, decode.d8.loss_dice: 1.3796, loss: 39.1449 2022-04-29 01:46:48,339 - mmseg - INFO - Iter [10650/80000] lr: 1.245e-06, eta: 1 day, 11:27:22, time: 1.770, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1213, decode.loss_mask: 0.8602, decode.loss_dice: 1.3489, decode.d0.loss_cls: 5.6472, decode.d0.loss_mask: 0.8375, decode.d0.loss_dice: 1.6075, decode.d1.loss_cls: 1.2298, decode.d1.loss_mask: 0.8824, decode.d1.loss_dice: 1.4448, decode.d2.loss_cls: 1.1412, decode.d2.loss_mask: 0.8712, decode.d2.loss_dice: 1.3847, decode.d3.loss_cls: 1.1239, decode.d3.loss_mask: 0.8747, decode.d3.loss_dice: 1.3604, decode.d4.loss_cls: 1.1216, decode.d4.loss_mask: 0.8690, decode.d4.loss_dice: 1.3646, decode.d5.loss_cls: 1.1214, decode.d5.loss_mask: 0.8636, decode.d5.loss_dice: 1.3620, decode.d6.loss_cls: 1.1186, decode.d6.loss_mask: 0.8629, decode.d6.loss_dice: 1.3409, decode.d7.loss_cls: 1.1189, decode.d7.loss_mask: 0.8620, decode.d7.loss_dice: 1.3559, decode.d8.loss_cls: 1.1115, decode.d8.loss_mask: 0.8611, decode.d8.loss_dice: 1.3542, loss: 38.4239 2022-04-29 01:48:17,565 - mmseg - INFO - Iter [10700/80000] lr: 1.244e-06, eta: 1 day, 11:25:31, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0912, decode.loss_mask: 0.8719, decode.loss_dice: 1.3248, decode.d0.loss_cls: 5.6236, decode.d0.loss_mask: 0.8490, decode.d0.loss_dice: 1.5706, decode.d1.loss_cls: 1.2200, decode.d1.loss_mask: 0.8927, decode.d1.loss_dice: 1.4189, decode.d2.loss_cls: 1.1345, decode.d2.loss_mask: 0.8780, decode.d2.loss_dice: 1.3597, decode.d3.loss_cls: 1.1048, decode.d3.loss_mask: 0.8778, decode.d3.loss_dice: 1.3406, decode.d4.loss_cls: 1.1094, decode.d4.loss_mask: 0.8736, decode.d4.loss_dice: 1.3447, decode.d5.loss_cls: 1.0912, decode.d5.loss_mask: 0.8774, decode.d5.loss_dice: 1.3247, decode.d6.loss_cls: 1.0929, decode.d6.loss_mask: 0.8745, decode.d6.loss_dice: 1.3229, decode.d7.loss_cls: 1.0957, decode.d7.loss_mask: 0.8705, decode.d7.loss_dice: 1.3305, decode.d8.loss_cls: 1.0789, decode.d8.loss_mask: 0.8710, decode.d8.loss_dice: 1.3294, loss: 38.0455 2022-04-29 01:49:45,970 - mmseg - INFO - Iter [10750/80000] lr: 1.243e-06, eta: 1 day, 11:23:36, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0631, decode.loss_mask: 0.8873, decode.loss_dice: 1.3094, decode.d0.loss_cls: 5.5897, decode.d0.loss_mask: 0.8471, decode.d0.loss_dice: 1.5466, decode.d1.loss_cls: 1.1918, decode.d1.loss_mask: 0.9042, decode.d1.loss_dice: 1.3916, decode.d2.loss_cls: 1.0930, decode.d2.loss_mask: 0.8862, decode.d2.loss_dice: 1.3401, decode.d3.loss_cls: 1.0716, decode.d3.loss_mask: 0.8828, decode.d3.loss_dice: 1.3317, decode.d4.loss_cls: 1.0690, decode.d4.loss_mask: 0.8804, decode.d4.loss_dice: 1.3340, decode.d5.loss_cls: 1.0597, decode.d5.loss_mask: 0.8785, decode.d5.loss_dice: 1.3262, decode.d6.loss_cls: 1.0543, decode.d6.loss_mask: 0.8824, decode.d6.loss_dice: 1.3133, decode.d7.loss_cls: 1.0562, decode.d7.loss_mask: 0.8769, decode.d7.loss_dice: 1.3206, decode.d8.loss_cls: 1.0561, decode.d8.loss_mask: 0.8763, decode.d8.loss_dice: 1.3190, loss: 37.6393 2022-04-29 01:51:14,247 - mmseg - INFO - Iter [10800/80000] lr: 1.242e-06, eta: 1 day, 11:21:40, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0614, decode.loss_mask: 0.8733, decode.loss_dice: 1.3612, decode.d0.loss_cls: 5.5587, decode.d0.loss_mask: 0.8477, decode.d0.loss_dice: 1.6134, decode.d1.loss_cls: 1.1813, decode.d1.loss_mask: 0.8901, decode.d1.loss_dice: 1.4431, decode.d2.loss_cls: 1.0942, decode.d2.loss_mask: 0.8772, decode.d2.loss_dice: 1.3909, decode.d3.loss_cls: 1.0732, decode.d3.loss_mask: 0.8837, decode.d3.loss_dice: 1.3675, decode.d4.loss_cls: 1.0688, decode.d4.loss_mask: 0.8705, decode.d4.loss_dice: 1.3606, decode.d5.loss_cls: 1.0556, decode.d5.loss_mask: 0.8749, decode.d5.loss_dice: 1.3563, decode.d6.loss_cls: 1.0609, decode.d6.loss_mask: 0.8720, decode.d6.loss_dice: 1.3500, decode.d7.loss_cls: 1.0631, decode.d7.loss_mask: 0.8716, decode.d7.loss_dice: 1.3571, decode.d8.loss_cls: 1.0600, decode.d8.loss_mask: 0.8715, decode.d8.loss_dice: 1.3556, loss: 37.9655 2022-04-29 01:52:42,370 - mmseg - INFO - Iter [10850/80000] lr: 1.241e-06, eta: 1 day, 11:19:44, time: 1.762, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0949, decode.loss_mask: 0.9062, decode.loss_dice: 1.4053, decode.d0.loss_cls: 5.5440, decode.d0.loss_mask: 0.8655, decode.d0.loss_dice: 1.6292, decode.d1.loss_cls: 1.2262, decode.d1.loss_mask: 0.9001, decode.d1.loss_dice: 1.4632, decode.d2.loss_cls: 1.1285, decode.d2.loss_mask: 0.8963, decode.d2.loss_dice: 1.4252, decode.d3.loss_cls: 1.1064, decode.d3.loss_mask: 0.8912, decode.d3.loss_dice: 1.4084, decode.d4.loss_cls: 1.1089, decode.d4.loss_mask: 0.8930, decode.d4.loss_dice: 1.4113, decode.d5.loss_cls: 1.0904, decode.d5.loss_mask: 0.8931, decode.d5.loss_dice: 1.3987, decode.d6.loss_cls: 1.0896, decode.d6.loss_mask: 0.8972, decode.d6.loss_dice: 1.3875, decode.d7.loss_cls: 1.0906, decode.d7.loss_mask: 0.8980, decode.d7.loss_dice: 1.3918, decode.d8.loss_cls: 1.0884, decode.d8.loss_mask: 0.9005, decode.d8.loss_dice: 1.3974, loss: 38.8269 2022-04-29 01:54:11,328 - mmseg - INFO - Iter [10900/80000] lr: 1.240e-06, eta: 1 day, 11:17:53, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0654, decode.loss_mask: 0.8454, decode.loss_dice: 1.3293, decode.d0.loss_cls: 5.4744, decode.d0.loss_mask: 0.8142, decode.d0.loss_dice: 1.5695, decode.d1.loss_cls: 1.1868, decode.d1.loss_mask: 0.8669, decode.d1.loss_dice: 1.4203, decode.d2.loss_cls: 1.0950, decode.d2.loss_mask: 0.8613, decode.d2.loss_dice: 1.3593, decode.d3.loss_cls: 1.0856, decode.d3.loss_mask: 0.8511, decode.d3.loss_dice: 1.3353, decode.d4.loss_cls: 1.0815, decode.d4.loss_mask: 0.8443, decode.d4.loss_dice: 1.3377, decode.d5.loss_cls: 1.0775, decode.d5.loss_mask: 0.8476, decode.d5.loss_dice: 1.3344, decode.d6.loss_cls: 1.0716, decode.d6.loss_mask: 0.8360, decode.d6.loss_dice: 1.3281, decode.d7.loss_cls: 1.0710, decode.d7.loss_mask: 0.8367, decode.d7.loss_dice: 1.3286, decode.d8.loss_cls: 1.0596, decode.d8.loss_mask: 0.8421, decode.d8.loss_dice: 1.3364, loss: 37.3930 2022-04-29 01:55:40,172 - mmseg - INFO - Iter [10950/80000] lr: 1.239e-06, eta: 1 day, 11:16:01, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0930, decode.loss_mask: 0.8821, decode.loss_dice: 1.3807, decode.d0.loss_cls: 5.4697, decode.d0.loss_mask: 0.8501, decode.d0.loss_dice: 1.6153, decode.d1.loss_cls: 1.2011, decode.d1.loss_mask: 0.8983, decode.d1.loss_dice: 1.4627, decode.d2.loss_cls: 1.1225, decode.d2.loss_mask: 0.8781, decode.d2.loss_dice: 1.4060, decode.d3.loss_cls: 1.1037, decode.d3.loss_mask: 0.8814, decode.d3.loss_dice: 1.3829, decode.d4.loss_cls: 1.1029, decode.d4.loss_mask: 0.8788, decode.d4.loss_dice: 1.3847, decode.d5.loss_cls: 1.0952, decode.d5.loss_mask: 0.8802, decode.d5.loss_dice: 1.3834, decode.d6.loss_cls: 1.0903, decode.d6.loss_mask: 0.8828, decode.d6.loss_dice: 1.3661, decode.d7.loss_cls: 1.0876, decode.d7.loss_mask: 0.8775, decode.d7.loss_dice: 1.3763, decode.d8.loss_cls: 1.0909, decode.d8.loss_mask: 0.8770, decode.d8.loss_dice: 1.3835, loss: 38.3850 2022-04-29 01:57:08,233 - mmseg - INFO - Saving checkpoint at 11000 iterations 2022-04-29 01:57:27,809 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 01:57:27,817 - mmseg - INFO - Iter [11000/80000] lr: 1.238e-06, eta: 1 day, 11:16:07, time: 2.150, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1022, decode.loss_mask: 0.8543, decode.loss_dice: 1.3573, decode.d0.loss_cls: 5.4266, decode.d0.loss_mask: 0.8227, decode.d0.loss_dice: 1.5967, decode.d1.loss_cls: 1.2106, decode.d1.loss_mask: 0.8655, decode.d1.loss_dice: 1.4389, decode.d2.loss_cls: 1.1308, decode.d2.loss_mask: 0.8647, decode.d2.loss_dice: 1.3967, decode.d3.loss_cls: 1.1145, decode.d3.loss_mask: 0.8581, decode.d3.loss_dice: 1.3752, decode.d4.loss_cls: 1.1097, decode.d4.loss_mask: 0.8615, decode.d4.loss_dice: 1.3678, decode.d5.loss_cls: 1.1031, decode.d5.loss_mask: 0.8625, decode.d5.loss_dice: 1.3682, decode.d6.loss_cls: 1.0927, decode.d6.loss_mask: 0.8605, decode.d6.loss_dice: 1.3514, decode.d7.loss_cls: 1.1006, decode.d7.loss_mask: 0.8605, decode.d7.loss_dice: 1.3580, decode.d8.loss_cls: 1.0970, decode.d8.loss_mask: 0.8526, decode.d8.loss_dice: 1.3556, loss: 38.0163 2022-04-29 01:58:56,759 - mmseg - INFO - Iter [11050/80000] lr: 1.237e-06, eta: 1 day, 11:14:17, time: 1.782, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0874, decode.loss_mask: 0.8583, decode.loss_dice: 1.3779, decode.d0.loss_cls: 5.4266, decode.d0.loss_mask: 0.8313, decode.d0.loss_dice: 1.6166, decode.d1.loss_cls: 1.2044, decode.d1.loss_mask: 0.8838, decode.d1.loss_dice: 1.4651, decode.d2.loss_cls: 1.1263, decode.d2.loss_mask: 0.8737, decode.d2.loss_dice: 1.4151, decode.d3.loss_cls: 1.1041, decode.d3.loss_mask: 0.8681, decode.d3.loss_dice: 1.3932, decode.d4.loss_cls: 1.0972, decode.d4.loss_mask: 0.8683, decode.d4.loss_dice: 1.3955, decode.d5.loss_cls: 1.0956, decode.d5.loss_mask: 0.8607, decode.d5.loss_dice: 1.3785, decode.d6.loss_cls: 1.0957, decode.d6.loss_mask: 0.8584, decode.d6.loss_dice: 1.3785, decode.d7.loss_cls: 1.0942, decode.d7.loss_mask: 0.8540, decode.d7.loss_dice: 1.3828, decode.d8.loss_cls: 1.0837, decode.d8.loss_mask: 0.8562, decode.d8.loss_dice: 1.3832, loss: 38.2144 2022-04-29 02:00:28,893 - mmseg - INFO - Iter [11100/80000] lr: 1.237e-06, eta: 1 day, 11:12:45, time: 1.842, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1256, decode.loss_mask: 0.8648, decode.loss_dice: 1.3609, decode.d0.loss_cls: 5.3997, decode.d0.loss_mask: 0.8440, decode.d0.loss_dice: 1.6147, decode.d1.loss_cls: 1.2426, decode.d1.loss_mask: 0.8839, decode.d1.loss_dice: 1.4616, decode.d2.loss_cls: 1.1528, decode.d2.loss_mask: 0.8739, decode.d2.loss_dice: 1.4086, decode.d3.loss_cls: 1.1341, decode.d3.loss_mask: 0.8636, decode.d3.loss_dice: 1.3869, decode.d4.loss_cls: 1.1245, decode.d4.loss_mask: 0.8623, decode.d4.loss_dice: 1.3819, decode.d5.loss_cls: 1.1159, decode.d5.loss_mask: 0.8687, decode.d5.loss_dice: 1.3745, decode.d6.loss_cls: 1.1175, decode.d6.loss_mask: 0.8686, decode.d6.loss_dice: 1.3626, decode.d7.loss_cls: 1.1219, decode.d7.loss_mask: 0.8616, decode.d7.loss_dice: 1.3659, decode.d8.loss_cls: 1.1170, decode.d8.loss_mask: 0.8679, decode.d8.loss_dice: 1.3667, loss: 38.3951 2022-04-29 02:02:00,479 - mmseg - INFO - Iter [11150/80000] lr: 1.236e-06, eta: 1 day, 11:11:10, time: 1.830, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0916, decode.loss_mask: 0.8829, decode.loss_dice: 1.3723, decode.d0.loss_cls: 5.3536, decode.d0.loss_mask: 0.8412, decode.d0.loss_dice: 1.6006, decode.d1.loss_cls: 1.2138, decode.d1.loss_mask: 0.8922, decode.d1.loss_dice: 1.4497, decode.d2.loss_cls: 1.1255, decode.d2.loss_mask: 0.8774, decode.d2.loss_dice: 1.4007, decode.d3.loss_cls: 1.1025, decode.d3.loss_mask: 0.8823, decode.d3.loss_dice: 1.3790, decode.d4.loss_cls: 1.0989, decode.d4.loss_mask: 0.8798, decode.d4.loss_dice: 1.3802, decode.d5.loss_cls: 1.0928, decode.d5.loss_mask: 0.8677, decode.d5.loss_dice: 1.3707, decode.d6.loss_cls: 1.0892, decode.d6.loss_mask: 0.8787, decode.d6.loss_dice: 1.3680, decode.d7.loss_cls: 1.0856, decode.d7.loss_mask: 0.8803, decode.d7.loss_dice: 1.3665, decode.d8.loss_cls: 1.0876, decode.d8.loss_mask: 0.8853, decode.d8.loss_dice: 1.3720, loss: 38.1688 2022-04-29 02:03:28,267 - mmseg - INFO - Iter [11200/80000] lr: 1.235e-06, eta: 1 day, 11:09:13, time: 1.758, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0558, decode.loss_mask: 0.8707, decode.loss_dice: 1.3685, decode.d0.loss_cls: 5.3158, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.5923, decode.d1.loss_cls: 1.1851, decode.d1.loss_mask: 0.8832, decode.d1.loss_dice: 1.4518, decode.d2.loss_cls: 1.0937, decode.d2.loss_mask: 0.8659, decode.d2.loss_dice: 1.3923, decode.d3.loss_cls: 1.0744, decode.d3.loss_mask: 0.8676, decode.d3.loss_dice: 1.3779, decode.d4.loss_cls: 1.0651, decode.d4.loss_mask: 0.8670, decode.d4.loss_dice: 1.3765, decode.d5.loss_cls: 1.0537, decode.d5.loss_mask: 0.8679, decode.d5.loss_dice: 1.3724, decode.d6.loss_cls: 1.0526, decode.d6.loss_mask: 0.8650, decode.d6.loss_dice: 1.3588, decode.d7.loss_cls: 1.0397, decode.d7.loss_mask: 0.8695, decode.d7.loss_dice: 1.3597, decode.d8.loss_cls: 1.0455, decode.d8.loss_mask: 0.8678, decode.d8.loss_dice: 1.3665, loss: 37.6471 2022-04-29 02:04:57,033 - mmseg - INFO - Iter [11250/80000] lr: 1.234e-06, eta: 1 day, 11:07:22, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 1.1145, decode.loss_mask: 0.8931, decode.loss_dice: 1.3504, decode.d0.loss_cls: 5.3083, decode.d0.loss_mask: 0.8660, decode.d0.loss_dice: 1.5918, decode.d1.loss_cls: 1.2347, decode.d1.loss_mask: 0.9212, decode.d1.loss_dice: 1.4366, decode.d2.loss_cls: 1.1472, decode.d2.loss_mask: 0.9039, decode.d2.loss_dice: 1.3781, decode.d3.loss_cls: 1.1338, decode.d3.loss_mask: 0.8922, decode.d3.loss_dice: 1.3523, decode.d4.loss_cls: 1.1190, decode.d4.loss_mask: 0.8973, decode.d4.loss_dice: 1.3503, decode.d5.loss_cls: 1.1112, decode.d5.loss_mask: 0.8963, decode.d5.loss_dice: 1.3476, decode.d6.loss_cls: 1.1061, decode.d6.loss_mask: 0.8962, decode.d6.loss_dice: 1.3457, decode.d7.loss_cls: 1.1069, decode.d7.loss_mask: 0.8930, decode.d7.loss_dice: 1.3531, decode.d8.loss_cls: 1.1084, decode.d8.loss_mask: 0.8919, decode.d8.loss_dice: 1.3471, loss: 38.2941 2022-04-29 02:06:26,155 - mmseg - INFO - Iter [11300/80000] lr: 1.233e-06, eta: 1 day, 11:05:32, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 1.1111, decode.loss_mask: 0.8665, decode.loss_dice: 1.3754, decode.d0.loss_cls: 5.2813, decode.d0.loss_mask: 0.8315, decode.d0.loss_dice: 1.6253, decode.d1.loss_cls: 1.2280, decode.d1.loss_mask: 0.8821, decode.d1.loss_dice: 1.4626, decode.d2.loss_cls: 1.1503, decode.d2.loss_mask: 0.8663, decode.d2.loss_dice: 1.4107, decode.d3.loss_cls: 1.1357, decode.d3.loss_mask: 0.8601, decode.d3.loss_dice: 1.3855, decode.d4.loss_cls: 1.1215, decode.d4.loss_mask: 0.8625, decode.d4.loss_dice: 1.3913, decode.d5.loss_cls: 1.1256, decode.d5.loss_mask: 0.8577, decode.d5.loss_dice: 1.3909, decode.d6.loss_cls: 1.1193, decode.d6.loss_mask: 0.8605, decode.d6.loss_dice: 1.3726, decode.d7.loss_cls: 1.1171, decode.d7.loss_mask: 0.8591, decode.d7.loss_dice: 1.3673, decode.d8.loss_cls: 1.1088, decode.d8.loss_mask: 0.8642, decode.d8.loss_dice: 1.3750, loss: 38.2657 2022-04-29 02:07:54,653 - mmseg - INFO - Iter [11350/80000] lr: 1.232e-06, eta: 1 day, 11:03:40, time: 1.770, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0978, decode.loss_mask: 0.8506, decode.loss_dice: 1.3620, decode.d0.loss_cls: 5.2501, decode.d0.loss_mask: 0.8200, decode.d0.loss_dice: 1.5977, decode.d1.loss_cls: 1.2209, decode.d1.loss_mask: 0.8674, decode.d1.loss_dice: 1.4402, decode.d2.loss_cls: 1.1311, decode.d2.loss_mask: 0.8580, decode.d2.loss_dice: 1.3869, decode.d3.loss_cls: 1.1074, decode.d3.loss_mask: 0.8566, decode.d3.loss_dice: 1.3691, decode.d4.loss_cls: 1.1013, decode.d4.loss_mask: 0.8525, decode.d4.loss_dice: 1.3674, decode.d5.loss_cls: 1.0901, decode.d5.loss_mask: 0.8512, decode.d5.loss_dice: 1.3648, decode.d6.loss_cls: 1.0970, decode.d6.loss_mask: 0.8511, decode.d6.loss_dice: 1.3508, decode.d7.loss_cls: 1.0931, decode.d7.loss_mask: 0.8475, decode.d7.loss_dice: 1.3598, decode.d8.loss_cls: 1.0953, decode.d8.loss_mask: 0.8473, decode.d8.loss_dice: 1.3678, loss: 37.7528 2022-04-29 02:09:23,870 - mmseg - INFO - Iter [11400/80000] lr: 1.231e-06, eta: 1 day, 11:01:51, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0880, decode.loss_mask: 0.8365, decode.loss_dice: 1.3445, decode.d0.loss_cls: 5.2201, decode.d0.loss_mask: 0.8061, decode.d0.loss_dice: 1.5928, decode.d1.loss_cls: 1.2151, decode.d1.loss_mask: 0.8440, decode.d1.loss_dice: 1.4271, decode.d2.loss_cls: 1.1295, decode.d2.loss_mask: 0.8309, decode.d2.loss_dice: 1.3826, decode.d3.loss_cls: 1.1183, decode.d3.loss_mask: 0.8333, decode.d3.loss_dice: 1.3597, decode.d4.loss_cls: 1.1047, decode.d4.loss_mask: 0.8370, decode.d4.loss_dice: 1.3560, decode.d5.loss_cls: 1.0926, decode.d5.loss_mask: 0.8378, decode.d5.loss_dice: 1.3500, decode.d6.loss_cls: 1.0901, decode.d6.loss_mask: 0.8248, decode.d6.loss_dice: 1.3382, decode.d7.loss_cls: 1.0878, decode.d7.loss_mask: 0.8289, decode.d7.loss_dice: 1.3489, decode.d8.loss_cls: 1.0853, decode.d8.loss_mask: 0.8385, decode.d8.loss_dice: 1.3419, loss: 37.3911 2022-04-29 02:10:52,802 - mmseg - INFO - Iter [11450/80000] lr: 1.230e-06, eta: 1 day, 11:00:02, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0983, decode.loss_mask: 0.8431, decode.loss_dice: 1.3561, decode.d0.loss_cls: 5.2067, decode.d0.loss_mask: 0.8239, decode.d0.loss_dice: 1.5990, decode.d1.loss_cls: 1.2154, decode.d1.loss_mask: 0.8636, decode.d1.loss_dice: 1.4378, decode.d2.loss_cls: 1.1310, decode.d2.loss_mask: 0.8494, decode.d2.loss_dice: 1.3927, decode.d3.loss_cls: 1.1141, decode.d3.loss_mask: 0.8493, decode.d3.loss_dice: 1.3680, decode.d4.loss_cls: 1.1024, decode.d4.loss_mask: 0.8461, decode.d4.loss_dice: 1.3780, decode.d5.loss_cls: 1.0988, decode.d5.loss_mask: 0.8412, decode.d5.loss_dice: 1.3658, decode.d6.loss_cls: 1.0969, decode.d6.loss_mask: 0.8472, decode.d6.loss_dice: 1.3512, decode.d7.loss_cls: 1.0928, decode.d7.loss_mask: 0.8498, decode.d7.loss_dice: 1.3588, decode.d8.loss_cls: 1.0938, decode.d8.loss_mask: 0.8465, decode.d8.loss_dice: 1.3589, loss: 37.6769 2022-04-29 02:12:22,204 - mmseg - INFO - Iter [11500/80000] lr: 1.229e-06, eta: 1 day, 10:58:15, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0606, decode.loss_mask: 0.8626, decode.loss_dice: 1.3487, decode.d0.loss_cls: 5.1496, decode.d0.loss_mask: 0.8363, decode.d0.loss_dice: 1.5847, decode.d1.loss_cls: 1.1747, decode.d1.loss_mask: 0.8831, decode.d1.loss_dice: 1.4203, decode.d2.loss_cls: 1.1042, decode.d2.loss_mask: 0.8661, decode.d2.loss_dice: 1.3699, decode.d3.loss_cls: 1.0808, decode.d3.loss_mask: 0.8644, decode.d3.loss_dice: 1.3627, decode.d4.loss_cls: 1.0671, decode.d4.loss_mask: 0.8685, decode.d4.loss_dice: 1.3609, decode.d5.loss_cls: 1.0570, decode.d5.loss_mask: 0.8614, decode.d5.loss_dice: 1.3627, decode.d6.loss_cls: 1.0531, decode.d6.loss_mask: 0.8597, decode.d6.loss_dice: 1.3520, decode.d7.loss_cls: 1.0507, decode.d7.loss_mask: 0.8614, decode.d7.loss_dice: 1.3546, decode.d8.loss_cls: 1.0524, decode.d8.loss_mask: 0.8645, decode.d8.loss_dice: 1.3473, loss: 37.3422 2022-04-29 02:13:50,817 - mmseg - INFO - Iter [11550/80000] lr: 1.229e-06, eta: 1 day, 10:56:23, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0891, decode.loss_mask: 0.8769, decode.loss_dice: 1.3619, decode.d0.loss_cls: 5.1210, decode.d0.loss_mask: 0.8375, decode.d0.loss_dice: 1.6130, decode.d1.loss_cls: 1.2121, decode.d1.loss_mask: 0.8857, decode.d1.loss_dice: 1.4538, decode.d2.loss_cls: 1.1217, decode.d2.loss_mask: 0.8766, decode.d2.loss_dice: 1.4034, decode.d3.loss_cls: 1.1039, decode.d3.loss_mask: 0.8744, decode.d3.loss_dice: 1.3804, decode.d4.loss_cls: 1.0946, decode.d4.loss_mask: 0.8740, decode.d4.loss_dice: 1.3706, decode.d5.loss_cls: 1.0828, decode.d5.loss_mask: 0.8783, decode.d5.loss_dice: 1.3752, decode.d6.loss_cls: 1.0731, decode.d6.loss_mask: 0.8780, decode.d6.loss_dice: 1.3590, decode.d7.loss_cls: 1.0781, decode.d7.loss_mask: 0.8787, decode.d7.loss_dice: 1.3627, decode.d8.loss_cls: 1.0835, decode.d8.loss_mask: 0.8770, decode.d8.loss_dice: 1.3604, loss: 37.8375 2022-04-29 02:15:20,104 - mmseg - INFO - Iter [11600/80000] lr: 1.228e-06, eta: 1 day, 10:54:36, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0907, decode.loss_mask: 0.8476, decode.loss_dice: 1.3507, decode.d0.loss_cls: 5.1137, decode.d0.loss_mask: 0.8157, decode.d0.loss_dice: 1.5764, decode.d1.loss_cls: 1.2063, decode.d1.loss_mask: 0.8574, decode.d1.loss_dice: 1.4179, decode.d2.loss_cls: 1.1170, decode.d2.loss_mask: 0.8528, decode.d2.loss_dice: 1.3808, decode.d3.loss_cls: 1.1009, decode.d3.loss_mask: 0.8486, decode.d3.loss_dice: 1.3537, decode.d4.loss_cls: 1.0958, decode.d4.loss_mask: 0.8489, decode.d4.loss_dice: 1.3599, decode.d5.loss_cls: 1.0840, decode.d5.loss_mask: 0.8545, decode.d5.loss_dice: 1.3573, decode.d6.loss_cls: 1.0769, decode.d6.loss_mask: 0.8470, decode.d6.loss_dice: 1.3478, decode.d7.loss_cls: 1.0786, decode.d7.loss_mask: 0.8509, decode.d7.loss_dice: 1.3523, decode.d8.loss_cls: 1.0834, decode.d8.loss_mask: 0.8460, decode.d8.loss_dice: 1.3488, loss: 37.3624 2022-04-29 02:16:49,367 - mmseg - INFO - Iter [11650/80000] lr: 1.227e-06, eta: 1 day, 10:52:49, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0634, decode.loss_mask: 0.8760, decode.loss_dice: 1.3760, decode.d0.loss_cls: 5.0787, decode.d0.loss_mask: 0.8433, decode.d0.loss_dice: 1.6258, decode.d1.loss_cls: 1.1724, decode.d1.loss_mask: 0.8884, decode.d1.loss_dice: 1.4708, decode.d2.loss_cls: 1.0961, decode.d2.loss_mask: 0.8764, decode.d2.loss_dice: 1.4232, decode.d3.loss_cls: 1.0917, decode.d3.loss_mask: 0.8712, decode.d3.loss_dice: 1.3947, decode.d4.loss_cls: 1.0769, decode.d4.loss_mask: 0.8700, decode.d4.loss_dice: 1.3883, decode.d5.loss_cls: 1.0659, decode.d5.loss_mask: 0.8710, decode.d5.loss_dice: 1.3839, decode.d6.loss_cls: 1.0674, decode.d6.loss_mask: 0.8709, decode.d6.loss_dice: 1.3779, decode.d7.loss_cls: 1.0652, decode.d7.loss_mask: 0.8712, decode.d7.loss_dice: 1.3775, decode.d8.loss_cls: 1.0632, decode.d8.loss_mask: 0.8734, decode.d8.loss_dice: 1.3755, loss: 37.7462 2022-04-29 02:18:17,994 - mmseg - INFO - Iter [11700/80000] lr: 1.226e-06, eta: 1 day, 10:50:58, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0449, decode.loss_mask: 0.8758, decode.loss_dice: 1.3308, decode.d0.loss_cls: 5.0227, decode.d0.loss_mask: 0.8450, decode.d0.loss_dice: 1.5476, decode.d1.loss_cls: 1.1400, decode.d1.loss_mask: 0.8914, decode.d1.loss_dice: 1.3903, decode.d2.loss_cls: 1.0743, decode.d2.loss_mask: 0.8837, decode.d2.loss_dice: 1.3510, decode.d3.loss_cls: 1.0554, decode.d3.loss_mask: 0.8802, decode.d3.loss_dice: 1.3251, decode.d4.loss_cls: 1.0472, decode.d4.loss_mask: 0.8822, decode.d4.loss_dice: 1.3293, decode.d5.loss_cls: 1.0439, decode.d5.loss_mask: 0.8838, decode.d5.loss_dice: 1.3366, decode.d6.loss_cls: 1.0334, decode.d6.loss_mask: 0.8875, decode.d6.loss_dice: 1.3288, decode.d7.loss_cls: 1.0388, decode.d7.loss_mask: 0.8798, decode.d7.loss_dice: 1.3305, decode.d8.loss_cls: 1.0404, decode.d8.loss_mask: 0.8852, decode.d8.loss_dice: 1.3268, loss: 36.9325 2022-04-29 02:19:47,585 - mmseg - INFO - Iter [11750/80000] lr: 1.225e-06, eta: 1 day, 10:49:13, time: 1.794, data_time: 0.018, memory: 64979, decode.loss_cls: 1.0968, decode.loss_mask: 0.8648, decode.loss_dice: 1.3339, decode.d0.loss_cls: 5.0385, decode.d0.loss_mask: 0.8429, decode.d0.loss_dice: 1.5910, decode.d1.loss_cls: 1.1882, decode.d1.loss_mask: 0.8854, decode.d1.loss_dice: 1.4273, decode.d2.loss_cls: 1.1125, decode.d2.loss_mask: 0.8747, decode.d2.loss_dice: 1.3687, decode.d3.loss_cls: 1.0887, decode.d3.loss_mask: 0.8715, decode.d3.loss_dice: 1.3458, decode.d4.loss_cls: 1.0869, decode.d4.loss_mask: 0.8682, decode.d4.loss_dice: 1.3498, decode.d5.loss_cls: 1.0843, decode.d5.loss_mask: 0.8726, decode.d5.loss_dice: 1.3461, decode.d6.loss_cls: 1.0845, decode.d6.loss_mask: 0.8723, decode.d6.loss_dice: 1.3414, decode.d7.loss_cls: 1.0893, decode.d7.loss_mask: 0.8602, decode.d7.loss_dice: 1.3434, decode.d8.loss_cls: 1.0822, decode.d8.loss_mask: 0.8653, decode.d8.loss_dice: 1.3406, loss: 37.4177 2022-04-29 02:21:16,131 - mmseg - INFO - Iter [11800/80000] lr: 1.224e-06, eta: 1 day, 10:47:23, time: 1.771, data_time: 0.016, memory: 64979, decode.loss_cls: 1.1143, decode.loss_mask: 0.8461, decode.loss_dice: 1.3941, decode.d0.loss_cls: 5.0360, decode.d0.loss_mask: 0.8110, decode.d0.loss_dice: 1.6330, decode.d1.loss_cls: 1.2393, decode.d1.loss_mask: 0.8613, decode.d1.loss_dice: 1.4705, decode.d2.loss_cls: 1.1508, decode.d2.loss_mask: 0.8578, decode.d2.loss_dice: 1.4285, decode.d3.loss_cls: 1.1260, decode.d3.loss_mask: 0.8518, decode.d3.loss_dice: 1.4108, decode.d4.loss_cls: 1.1257, decode.d4.loss_mask: 0.8475, decode.d4.loss_dice: 1.4017, decode.d5.loss_cls: 1.1187, decode.d5.loss_mask: 0.8503, decode.d5.loss_dice: 1.4016, decode.d6.loss_cls: 1.1138, decode.d6.loss_mask: 0.8514, decode.d6.loss_dice: 1.3955, decode.d7.loss_cls: 1.1086, decode.d7.loss_mask: 0.8477, decode.d7.loss_dice: 1.3917, decode.d8.loss_cls: 1.1096, decode.d8.loss_mask: 0.8454, decode.d8.loss_dice: 1.3996, loss: 38.0401 2022-04-29 02:22:45,154 - mmseg - INFO - Iter [11850/80000] lr: 1.223e-06, eta: 1 day, 10:45:34, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0442, decode.loss_mask: 0.8641, decode.loss_dice: 1.3613, decode.d0.loss_cls: 4.9594, decode.d0.loss_mask: 0.8249, decode.d0.loss_dice: 1.5832, decode.d1.loss_cls: 1.1559, decode.d1.loss_mask: 0.8802, decode.d1.loss_dice: 1.4257, decode.d2.loss_cls: 1.0725, decode.d2.loss_mask: 0.8684, decode.d2.loss_dice: 1.3889, decode.d3.loss_cls: 1.0629, decode.d3.loss_mask: 0.8654, decode.d3.loss_dice: 1.3726, decode.d4.loss_cls: 1.0561, decode.d4.loss_mask: 0.8644, decode.d4.loss_dice: 1.3765, decode.d5.loss_cls: 1.0554, decode.d5.loss_mask: 0.8660, decode.d5.loss_dice: 1.3737, decode.d6.loss_cls: 1.0527, decode.d6.loss_mask: 0.8599, decode.d6.loss_dice: 1.3621, decode.d7.loss_cls: 1.0445, decode.d7.loss_mask: 0.8599, decode.d7.loss_dice: 1.3689, decode.d8.loss_cls: 1.0473, decode.d8.loss_mask: 0.8605, decode.d8.loss_dice: 1.3622, loss: 37.1397 2022-04-29 02:24:14,595 - mmseg - INFO - Iter [11900/80000] lr: 1.222e-06, eta: 1 day, 10:43:49, time: 1.789, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0352, decode.loss_mask: 0.8746, decode.loss_dice: 1.3694, decode.d0.loss_cls: 4.9441, decode.d0.loss_mask: 0.8397, decode.d0.loss_dice: 1.6044, decode.d1.loss_cls: 1.1414, decode.d1.loss_mask: 0.8946, decode.d1.loss_dice: 1.4499, decode.d2.loss_cls: 1.0630, decode.d2.loss_mask: 0.8817, decode.d2.loss_dice: 1.4064, decode.d3.loss_cls: 1.0446, decode.d3.loss_mask: 0.8844, decode.d3.loss_dice: 1.3862, decode.d4.loss_cls: 1.0361, decode.d4.loss_mask: 0.8773, decode.d4.loss_dice: 1.3765, decode.d5.loss_cls: 1.0221, decode.d5.loss_mask: 0.8747, decode.d5.loss_dice: 1.3752, decode.d6.loss_cls: 1.0258, decode.d6.loss_mask: 0.8781, decode.d6.loss_dice: 1.3680, decode.d7.loss_cls: 1.0217, decode.d7.loss_mask: 0.8795, decode.d7.loss_dice: 1.3722, decode.d8.loss_cls: 1.0253, decode.d8.loss_mask: 0.8782, decode.d8.loss_dice: 1.3720, loss: 37.2021 2022-04-29 02:25:42,459 - mmseg - INFO - Iter [11950/80000] lr: 1.221e-06, eta: 1 day, 10:41:55, time: 1.759, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0827, decode.loss_mask: 0.8844, decode.loss_dice: 1.3537, decode.d0.loss_cls: 4.9112, decode.d0.loss_mask: 0.8580, decode.d0.loss_dice: 1.5850, decode.d1.loss_cls: 1.1830, decode.d1.loss_mask: 0.9027, decode.d1.loss_dice: 1.4304, decode.d2.loss_cls: 1.0970, decode.d2.loss_mask: 0.8884, decode.d2.loss_dice: 1.3889, decode.d3.loss_cls: 1.0930, decode.d3.loss_mask: 0.8789, decode.d3.loss_dice: 1.3678, decode.d4.loss_cls: 1.0928, decode.d4.loss_mask: 0.8848, decode.d4.loss_dice: 1.3591, decode.d5.loss_cls: 1.0798, decode.d5.loss_mask: 0.8849, decode.d5.loss_dice: 1.3638, decode.d6.loss_cls: 1.0804, decode.d6.loss_mask: 0.8833, decode.d6.loss_dice: 1.3622, decode.d7.loss_cls: 1.0868, decode.d7.loss_mask: 0.8849, decode.d7.loss_dice: 1.3567, decode.d8.loss_cls: 1.0727, decode.d8.loss_mask: 0.8895, decode.d8.loss_dice: 1.3602, loss: 37.5469 2022-04-29 02:27:11,072 - mmseg - INFO - Saving checkpoint at 12000 iterations 2022-04-29 02:27:44,570 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 02:27:44,578 - mmseg - INFO - Iter [12000/80000] lr: 1.220e-06, eta: 1 day, 10:43:14, time: 2.440, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0656, decode.loss_mask: 0.8566, decode.loss_dice: 1.3550, decode.d0.loss_cls: 4.8861, decode.d0.loss_mask: 0.8227, decode.d0.loss_dice: 1.5970, decode.d1.loss_cls: 1.1900, decode.d1.loss_mask: 0.8766, decode.d1.loss_dice: 1.4500, decode.d2.loss_cls: 1.0969, decode.d2.loss_mask: 0.8666, decode.d2.loss_dice: 1.4000, decode.d3.loss_cls: 1.0823, decode.d3.loss_mask: 0.8503, decode.d3.loss_dice: 1.3762, decode.d4.loss_cls: 1.0738, decode.d4.loss_mask: 0.8544, decode.d4.loss_dice: 1.3745, decode.d5.loss_cls: 1.0750, decode.d5.loss_mask: 0.8539, decode.d5.loss_dice: 1.3777, decode.d6.loss_cls: 1.0616, decode.d6.loss_mask: 0.8550, decode.d6.loss_dice: 1.3685, decode.d7.loss_cls: 1.0592, decode.d7.loss_mask: 0.8616, decode.d7.loss_dice: 1.3659, decode.d8.loss_cls: 1.0608, decode.d8.loss_mask: 0.8486, decode.d8.loss_dice: 1.3663, loss: 37.2288 2022-04-29 02:29:13,919 - mmseg - INFO - Iter [12050/80000] lr: 1.220e-06, eta: 1 day, 10:41:29, time: 1.790, data_time: 0.018, memory: 64979, decode.loss_cls: 1.0821, decode.loss_mask: 0.8630, decode.loss_dice: 1.3702, decode.d0.loss_cls: 4.8567, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.6074, decode.d1.loss_cls: 1.1978, decode.d1.loss_mask: 0.8886, decode.d1.loss_dice: 1.4594, decode.d2.loss_cls: 1.1057, decode.d2.loss_mask: 0.8707, decode.d2.loss_dice: 1.4204, decode.d3.loss_cls: 1.0861, decode.d3.loss_mask: 0.8669, decode.d3.loss_dice: 1.3916, decode.d4.loss_cls: 1.0824, decode.d4.loss_mask: 0.8654, decode.d4.loss_dice: 1.3909, decode.d5.loss_cls: 1.0812, decode.d5.loss_mask: 0.8694, decode.d5.loss_dice: 1.3835, decode.d6.loss_cls: 1.0753, decode.d6.loss_mask: 0.8613, decode.d6.loss_dice: 1.3708, decode.d7.loss_cls: 1.0753, decode.d7.loss_mask: 0.8709, decode.d7.loss_dice: 1.3738, decode.d8.loss_cls: 1.0805, decode.d8.loss_mask: 0.8620, decode.d8.loss_dice: 1.3693, loss: 37.5094 2022-04-29 02:30:41,867 - mmseg - INFO - Iter [12100/80000] lr: 1.219e-06, eta: 1 day, 10:39:35, time: 1.759, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0950, decode.loss_mask: 0.8466, decode.loss_dice: 1.3699, decode.d0.loss_cls: 4.8349, decode.d0.loss_mask: 0.8170, decode.d0.loss_dice: 1.6114, decode.d1.loss_cls: 1.2230, decode.d1.loss_mask: 0.8627, decode.d1.loss_dice: 1.4426, decode.d2.loss_cls: 1.1218, decode.d2.loss_mask: 0.8551, decode.d2.loss_dice: 1.4017, decode.d3.loss_cls: 1.1141, decode.d3.loss_mask: 0.8550, decode.d3.loss_dice: 1.3805, decode.d4.loss_cls: 1.1068, decode.d4.loss_mask: 0.8487, decode.d4.loss_dice: 1.3821, decode.d5.loss_cls: 1.0953, decode.d5.loss_mask: 0.8482, decode.d5.loss_dice: 1.3779, decode.d6.loss_cls: 1.0922, decode.d6.loss_mask: 0.8442, decode.d6.loss_dice: 1.3694, decode.d7.loss_cls: 1.0916, decode.d7.loss_mask: 0.8469, decode.d7.loss_dice: 1.3673, decode.d8.loss_cls: 1.0865, decode.d8.loss_mask: 0.8502, decode.d8.loss_dice: 1.3615, loss: 37.4000 2022-04-29 02:32:10,559 - mmseg - INFO - Iter [12150/80000] lr: 1.218e-06, eta: 1 day, 10:37:45, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0884, decode.loss_mask: 0.8429, decode.loss_dice: 1.3538, decode.d0.loss_cls: 4.8291, decode.d0.loss_mask: 0.8185, decode.d0.loss_dice: 1.6025, decode.d1.loss_cls: 1.2089, decode.d1.loss_mask: 0.8695, decode.d1.loss_dice: 1.4386, decode.d2.loss_cls: 1.1193, decode.d2.loss_mask: 0.8500, decode.d2.loss_dice: 1.3867, decode.d3.loss_cls: 1.0954, decode.d3.loss_mask: 0.8582, decode.d3.loss_dice: 1.3765, decode.d4.loss_cls: 1.0895, decode.d4.loss_mask: 0.8456, decode.d4.loss_dice: 1.3699, decode.d5.loss_cls: 1.0869, decode.d5.loss_mask: 0.8440, decode.d5.loss_dice: 1.3713, decode.d6.loss_cls: 1.0902, decode.d6.loss_mask: 0.8423, decode.d6.loss_dice: 1.3579, decode.d7.loss_cls: 1.0825, decode.d7.loss_mask: 0.8386, decode.d7.loss_dice: 1.3553, decode.d8.loss_cls: 1.0728, decode.d8.loss_mask: 0.8444, decode.d8.loss_dice: 1.3636, loss: 37.1930 2022-04-29 02:33:38,791 - mmseg - INFO - Iter [12200/80000] lr: 1.217e-06, eta: 1 day, 10:35:53, time: 1.766, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0962, decode.loss_mask: 0.8492, decode.loss_dice: 1.3578, decode.d0.loss_cls: 4.8043, decode.d0.loss_mask: 0.8175, decode.d0.loss_dice: 1.5951, decode.d1.loss_cls: 1.2087, decode.d1.loss_mask: 0.8651, decode.d1.loss_dice: 1.4348, decode.d2.loss_cls: 1.1242, decode.d2.loss_mask: 0.8516, decode.d2.loss_dice: 1.3921, decode.d3.loss_cls: 1.1180, decode.d3.loss_mask: 0.8459, decode.d3.loss_dice: 1.3637, decode.d4.loss_cls: 1.1107, decode.d4.loss_mask: 0.8473, decode.d4.loss_dice: 1.3634, decode.d5.loss_cls: 1.0966, decode.d5.loss_mask: 0.8445, decode.d5.loss_dice: 1.3550, decode.d6.loss_cls: 1.0956, decode.d6.loss_mask: 0.8465, decode.d6.loss_dice: 1.3524, decode.d7.loss_cls: 1.0943, decode.d7.loss_mask: 0.8430, decode.d7.loss_dice: 1.3516, decode.d8.loss_cls: 1.0898, decode.d8.loss_mask: 0.8476, decode.d8.loss_dice: 1.3591, loss: 37.2215 2022-04-29 02:35:07,278 - mmseg - INFO - Iter [12250/80000] lr: 1.216e-06, eta: 1 day, 10:34:02, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0770, decode.loss_mask: 0.8805, decode.loss_dice: 1.3767, decode.d0.loss_cls: 4.7537, decode.d0.loss_mask: 0.8661, decode.d0.loss_dice: 1.6319, decode.d1.loss_cls: 1.1787, decode.d1.loss_mask: 0.9095, decode.d1.loss_dice: 1.4627, decode.d2.loss_cls: 1.1050, decode.d2.loss_mask: 0.8840, decode.d2.loss_dice: 1.4144, decode.d3.loss_cls: 1.0889, decode.d3.loss_mask: 0.8844, decode.d3.loss_dice: 1.3869, decode.d4.loss_cls: 1.0892, decode.d4.loss_mask: 0.8824, decode.d4.loss_dice: 1.3867, decode.d5.loss_cls: 1.0773, decode.d5.loss_mask: 0.8893, decode.d5.loss_dice: 1.3909, decode.d6.loss_cls: 1.0754, decode.d6.loss_mask: 0.8858, decode.d6.loss_dice: 1.3727, decode.d7.loss_cls: 1.0788, decode.d7.loss_mask: 0.8847, decode.d7.loss_dice: 1.3704, decode.d8.loss_cls: 1.0712, decode.d8.loss_mask: 0.8831, decode.d8.loss_dice: 1.3781, loss: 37.6164 2022-04-29 02:36:35,810 - mmseg - INFO - Iter [12300/80000] lr: 1.215e-06, eta: 1 day, 10:32:12, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0700, decode.loss_mask: 0.8690, decode.loss_dice: 1.3115, decode.d0.loss_cls: 4.7588, decode.d0.loss_mask: 0.8428, decode.d0.loss_dice: 1.5698, decode.d1.loss_cls: 1.1833, decode.d1.loss_mask: 0.8891, decode.d1.loss_dice: 1.3994, decode.d2.loss_cls: 1.0988, decode.d2.loss_mask: 0.8722, decode.d2.loss_dice: 1.3506, decode.d3.loss_cls: 1.0830, decode.d3.loss_mask: 0.8695, decode.d3.loss_dice: 1.3286, decode.d4.loss_cls: 1.0801, decode.d4.loss_mask: 0.8722, decode.d4.loss_dice: 1.3284, decode.d5.loss_cls: 1.0808, decode.d5.loss_mask: 0.8643, decode.d5.loss_dice: 1.3234, decode.d6.loss_cls: 1.0726, decode.d6.loss_mask: 0.8645, decode.d6.loss_dice: 1.3163, decode.d7.loss_cls: 1.0750, decode.d7.loss_mask: 0.8681, decode.d7.loss_dice: 1.3236, decode.d8.loss_cls: 1.0712, decode.d8.loss_mask: 0.8638, decode.d8.loss_dice: 1.3152, loss: 36.8158 2022-04-29 02:38:05,108 - mmseg - INFO - Iter [12350/80000] lr: 1.214e-06, eta: 1 day, 10:30:27, time: 1.787, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0491, decode.loss_mask: 0.8584, decode.loss_dice: 1.3798, decode.d0.loss_cls: 4.7370, decode.d0.loss_mask: 0.8132, decode.d0.loss_dice: 1.6087, decode.d1.loss_cls: 1.1705, decode.d1.loss_mask: 0.8623, decode.d1.loss_dice: 1.4580, decode.d2.loss_cls: 1.0818, decode.d2.loss_mask: 0.8618, decode.d2.loss_dice: 1.3990, decode.d3.loss_cls: 1.0567, decode.d3.loss_mask: 0.8601, decode.d3.loss_dice: 1.3877, decode.d4.loss_cls: 1.0547, decode.d4.loss_mask: 0.8603, decode.d4.loss_dice: 1.3802, decode.d5.loss_cls: 1.0485, decode.d5.loss_mask: 0.8530, decode.d5.loss_dice: 1.3767, decode.d6.loss_cls: 1.0483, decode.d6.loss_mask: 0.8523, decode.d6.loss_dice: 1.3670, decode.d7.loss_cls: 1.0399, decode.d7.loss_mask: 0.8559, decode.d7.loss_dice: 1.3743, decode.d8.loss_cls: 1.0384, decode.d8.loss_mask: 0.8603, decode.d8.loss_dice: 1.3783, loss: 36.9721 2022-04-29 02:39:33,935 - mmseg - INFO - Iter [12400/80000] lr: 1.213e-06, eta: 1 day, 10:28:39, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0539, decode.loss_mask: 0.8582, decode.loss_dice: 1.3301, decode.d0.loss_cls: 4.6842, decode.d0.loss_mask: 0.8189, decode.d0.loss_dice: 1.5640, decode.d1.loss_cls: 1.1710, decode.d1.loss_mask: 0.8724, decode.d1.loss_dice: 1.4123, decode.d2.loss_cls: 1.0845, decode.d2.loss_mask: 0.8588, decode.d2.loss_dice: 1.3629, decode.d3.loss_cls: 1.0538, decode.d3.loss_mask: 0.8596, decode.d3.loss_dice: 1.3481, decode.d4.loss_cls: 1.0622, decode.d4.loss_mask: 0.8548, decode.d4.loss_dice: 1.3431, decode.d5.loss_cls: 1.0503, decode.d5.loss_mask: 0.8590, decode.d5.loss_dice: 1.3363, decode.d6.loss_cls: 1.0540, decode.d6.loss_mask: 0.8533, decode.d6.loss_dice: 1.3293, decode.d7.loss_cls: 1.0539, decode.d7.loss_mask: 0.8514, decode.d7.loss_dice: 1.3340, decode.d8.loss_cls: 1.0459, decode.d8.loss_mask: 0.8600, decode.d8.loss_dice: 1.3341, loss: 36.5544 2022-04-29 02:41:02,570 - mmseg - INFO - Iter [12450/80000] lr: 1.212e-06, eta: 1 day, 10:26:50, time: 1.773, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0892, decode.loss_mask: 0.8734, decode.loss_dice: 1.3346, decode.d0.loss_cls: 4.6430, decode.d0.loss_mask: 0.8493, decode.d0.loss_dice: 1.5752, decode.d1.loss_cls: 1.1995, decode.d1.loss_mask: 0.8967, decode.d1.loss_dice: 1.4150, decode.d2.loss_cls: 1.1110, decode.d2.loss_mask: 0.8810, decode.d2.loss_dice: 1.3713, decode.d3.loss_cls: 1.1057, decode.d3.loss_mask: 0.8739, decode.d3.loss_dice: 1.3482, decode.d4.loss_cls: 1.0988, decode.d4.loss_mask: 0.8722, decode.d4.loss_dice: 1.3436, decode.d5.loss_cls: 1.0954, decode.d5.loss_mask: 0.8700, decode.d5.loss_dice: 1.3364, decode.d6.loss_cls: 1.0914, decode.d6.loss_mask: 0.8715, decode.d6.loss_dice: 1.3229, decode.d7.loss_cls: 1.0829, decode.d7.loss_mask: 0.8664, decode.d7.loss_dice: 1.3257, decode.d8.loss_cls: 1.0851, decode.d8.loss_mask: 0.8712, decode.d8.loss_dice: 1.3394, loss: 37.0399 2022-04-29 02:42:30,096 - mmseg - INFO - Iter [12500/80000] lr: 1.211e-06, eta: 1 day, 10:24:55, time: 1.751, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0621, decode.loss_mask: 0.8560, decode.loss_dice: 1.3397, decode.d0.loss_cls: 4.6170, decode.d0.loss_mask: 0.8314, decode.d0.loss_dice: 1.5705, decode.d1.loss_cls: 1.1755, decode.d1.loss_mask: 0.8740, decode.d1.loss_dice: 1.4220, decode.d2.loss_cls: 1.0869, decode.d2.loss_mask: 0.8616, decode.d2.loss_dice: 1.3714, decode.d3.loss_cls: 1.0671, decode.d3.loss_mask: 0.8584, decode.d3.loss_dice: 1.3492, decode.d4.loss_cls: 1.0630, decode.d4.loss_mask: 0.8560, decode.d4.loss_dice: 1.3420, decode.d5.loss_cls: 1.0512, decode.d5.loss_mask: 0.8539, decode.d5.loss_dice: 1.3400, decode.d6.loss_cls: 1.0560, decode.d6.loss_mask: 0.8564, decode.d6.loss_dice: 1.3400, decode.d7.loss_cls: 1.0558, decode.d7.loss_mask: 0.8528, decode.d7.loss_dice: 1.3402, decode.d8.loss_cls: 1.0532, decode.d8.loss_mask: 0.8595, decode.d8.loss_dice: 1.3392, loss: 36.6020 2022-04-29 02:43:59,388 - mmseg - INFO - Iter [12550/80000] lr: 1.211e-06, eta: 1 day, 10:23:09, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0234, decode.loss_mask: 0.8552, decode.loss_dice: 1.3616, decode.d0.loss_cls: 4.5785, decode.d0.loss_mask: 0.8231, decode.d0.loss_dice: 1.5887, decode.d1.loss_cls: 1.1305, decode.d1.loss_mask: 0.8679, decode.d1.loss_dice: 1.4385, decode.d2.loss_cls: 1.0534, decode.d2.loss_mask: 0.8556, decode.d2.loss_dice: 1.3859, decode.d3.loss_cls: 1.0342, decode.d3.loss_mask: 0.8567, decode.d3.loss_dice: 1.3704, decode.d4.loss_cls: 1.0294, decode.d4.loss_mask: 0.8540, decode.d4.loss_dice: 1.3677, decode.d5.loss_cls: 1.0210, decode.d5.loss_mask: 0.8512, decode.d5.loss_dice: 1.3544, decode.d6.loss_cls: 1.0184, decode.d6.loss_mask: 0.8512, decode.d6.loss_dice: 1.3509, decode.d7.loss_cls: 1.0197, decode.d7.loss_mask: 0.8504, decode.d7.loss_dice: 1.3531, decode.d8.loss_cls: 1.0118, decode.d8.loss_mask: 0.8487, decode.d8.loss_dice: 1.3570, loss: 36.3623 2022-04-29 02:45:27,949 - mmseg - INFO - Iter [12600/80000] lr: 1.210e-06, eta: 1 day, 10:21:21, time: 1.773, data_time: 0.018, memory: 64979, decode.loss_cls: 1.0639, decode.loss_mask: 0.8571, decode.loss_dice: 1.3368, decode.d0.loss_cls: 4.5987, decode.d0.loss_mask: 0.8241, decode.d0.loss_dice: 1.5621, decode.d1.loss_cls: 1.1600, decode.d1.loss_mask: 0.8750, decode.d1.loss_dice: 1.4159, decode.d2.loss_cls: 1.0813, decode.d2.loss_mask: 0.8660, decode.d2.loss_dice: 1.3717, decode.d3.loss_cls: 1.0621, decode.d3.loss_mask: 0.8608, decode.d3.loss_dice: 1.3419, decode.d4.loss_cls: 1.0589, decode.d4.loss_mask: 0.8629, decode.d4.loss_dice: 1.3442, decode.d5.loss_cls: 1.0537, decode.d5.loss_mask: 0.8610, decode.d5.loss_dice: 1.3411, decode.d6.loss_cls: 1.0554, decode.d6.loss_mask: 0.8607, decode.d6.loss_dice: 1.3324, decode.d7.loss_cls: 1.0486, decode.d7.loss_mask: 0.8627, decode.d7.loss_dice: 1.3410, decode.d8.loss_cls: 1.0529, decode.d8.loss_mask: 0.8578, decode.d8.loss_dice: 1.3335, loss: 36.5437 2022-04-29 02:46:57,220 - mmseg - INFO - Iter [12650/80000] lr: 1.209e-06, eta: 1 day, 10:19:35, time: 1.784, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0374, decode.loss_mask: 0.8544, decode.loss_dice: 1.3499, decode.d0.loss_cls: 4.5720, decode.d0.loss_mask: 0.8125, decode.d0.loss_dice: 1.5694, decode.d1.loss_cls: 1.1498, decode.d1.loss_mask: 0.8616, decode.d1.loss_dice: 1.4303, decode.d2.loss_cls: 1.0630, decode.d2.loss_mask: 0.8541, decode.d2.loss_dice: 1.3786, decode.d3.loss_cls: 1.0408, decode.d3.loss_mask: 0.8566, decode.d3.loss_dice: 1.3575, decode.d4.loss_cls: 1.0312, decode.d4.loss_mask: 0.8604, decode.d4.loss_dice: 1.3638, decode.d5.loss_cls: 1.0306, decode.d5.loss_mask: 0.8513, decode.d5.loss_dice: 1.3534, decode.d6.loss_cls: 1.0326, decode.d6.loss_mask: 0.8548, decode.d6.loss_dice: 1.3438, decode.d7.loss_cls: 1.0377, decode.d7.loss_mask: 0.8539, decode.d7.loss_dice: 1.3457, decode.d8.loss_cls: 1.0267, decode.d8.loss_mask: 0.8518, decode.d8.loss_dice: 1.3479, loss: 36.3735 2022-04-29 02:48:26,403 - mmseg - INFO - Iter [12700/80000] lr: 1.208e-06, eta: 1 day, 10:17:50, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0885, decode.loss_mask: 0.8472, decode.loss_dice: 1.3543, decode.d0.loss_cls: 4.5461, decode.d0.loss_mask: 0.8105, decode.d0.loss_dice: 1.5944, decode.d1.loss_cls: 1.1791, decode.d1.loss_mask: 0.8731, decode.d1.loss_dice: 1.4355, decode.d2.loss_cls: 1.1144, decode.d2.loss_mask: 0.8610, decode.d2.loss_dice: 1.3886, decode.d3.loss_cls: 1.0963, decode.d3.loss_mask: 0.8492, decode.d3.loss_dice: 1.3668, decode.d4.loss_cls: 1.0907, decode.d4.loss_mask: 0.8476, decode.d4.loss_dice: 1.3646, decode.d5.loss_cls: 1.0903, decode.d5.loss_mask: 0.8417, decode.d5.loss_dice: 1.3504, decode.d6.loss_cls: 1.0808, decode.d6.loss_mask: 0.8363, decode.d6.loss_dice: 1.3443, decode.d7.loss_cls: 1.0847, decode.d7.loss_mask: 0.8470, decode.d7.loss_dice: 1.3540, decode.d8.loss_cls: 1.0832, decode.d8.loss_mask: 0.8485, decode.d8.loss_dice: 1.3588, loss: 36.8279 2022-04-29 02:49:55,034 - mmseg - INFO - Iter [12750/80000] lr: 1.207e-06, eta: 1 day, 10:16:02, time: 1.774, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0616, decode.loss_mask: 0.8589, decode.loss_dice: 1.3412, decode.d0.loss_cls: 4.5441, decode.d0.loss_mask: 0.8264, decode.d0.loss_dice: 1.5787, decode.d1.loss_cls: 1.1664, decode.d1.loss_mask: 0.8690, decode.d1.loss_dice: 1.4282, decode.d2.loss_cls: 1.0931, decode.d2.loss_mask: 0.8589, decode.d2.loss_dice: 1.3751, decode.d3.loss_cls: 1.0847, decode.d3.loss_mask: 0.8530, decode.d3.loss_dice: 1.3564, decode.d4.loss_cls: 1.0670, decode.d4.loss_mask: 0.8590, decode.d4.loss_dice: 1.3540, decode.d5.loss_cls: 1.0695, decode.d5.loss_mask: 0.8560, decode.d5.loss_dice: 1.3523, decode.d6.loss_cls: 1.0660, decode.d6.loss_mask: 0.8542, decode.d6.loss_dice: 1.3419, decode.d7.loss_cls: 1.0560, decode.d7.loss_mask: 0.8552, decode.d7.loss_dice: 1.3434, decode.d8.loss_cls: 1.0521, decode.d8.loss_mask: 0.8560, decode.d8.loss_dice: 1.3408, loss: 36.6192 2022-04-29 02:51:23,772 - mmseg - INFO - Iter [12800/80000] lr: 1.206e-06, eta: 1 day, 10:14:15, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0134, decode.loss_mask: 0.8408, decode.loss_dice: 1.3671, decode.d0.loss_cls: 4.4632, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.5870, decode.d1.loss_cls: 1.1308, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.4358, decode.d2.loss_cls: 1.0496, decode.d2.loss_mask: 0.8436, decode.d2.loss_dice: 1.3929, decode.d3.loss_cls: 1.0382, decode.d3.loss_mask: 0.8408, decode.d3.loss_dice: 1.3747, decode.d4.loss_cls: 1.0273, decode.d4.loss_mask: 0.8421, decode.d4.loss_dice: 1.3754, decode.d5.loss_cls: 1.0204, decode.d5.loss_mask: 0.8365, decode.d5.loss_dice: 1.3653, decode.d6.loss_cls: 1.0108, decode.d6.loss_mask: 0.8399, decode.d6.loss_dice: 1.3614, decode.d7.loss_cls: 1.0068, decode.d7.loss_mask: 0.8425, decode.d7.loss_dice: 1.3604, decode.d8.loss_cls: 1.0150, decode.d8.loss_mask: 0.8386, decode.d8.loss_dice: 1.3667, loss: 36.1502 2022-04-29 02:52:52,086 - mmseg - INFO - Iter [12850/80000] lr: 1.205e-06, eta: 1 day, 10:12:26, time: 1.766, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0599, decode.loss_mask: 0.8369, decode.loss_dice: 1.3320, decode.d0.loss_cls: 4.4708, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.5697, decode.d1.loss_cls: 1.1695, decode.d1.loss_mask: 0.8516, decode.d1.loss_dice: 1.4294, decode.d2.loss_cls: 1.0865, decode.d2.loss_mask: 0.8346, decode.d2.loss_dice: 1.3763, decode.d3.loss_cls: 1.0720, decode.d3.loss_mask: 0.8328, decode.d3.loss_dice: 1.3539, decode.d4.loss_cls: 1.0602, decode.d4.loss_mask: 0.8381, decode.d4.loss_dice: 1.3585, decode.d5.loss_cls: 1.0632, decode.d5.loss_mask: 0.8299, decode.d5.loss_dice: 1.3460, decode.d6.loss_cls: 1.0578, decode.d6.loss_mask: 0.8361, decode.d6.loss_dice: 1.3413, decode.d7.loss_cls: 1.0626, decode.d7.loss_mask: 0.8336, decode.d7.loss_dice: 1.3380, decode.d8.loss_cls: 1.0628, decode.d8.loss_mask: 0.8330, decode.d8.loss_dice: 1.3388, loss: 36.2763 2022-04-29 02:54:20,876 - mmseg - INFO - Iter [12900/80000] lr: 1.204e-06, eta: 1 day, 10:10:39, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0705, decode.loss_mask: 0.8473, decode.loss_dice: 1.3415, decode.d0.loss_cls: 4.4511, decode.d0.loss_mask: 0.8255, decode.d0.loss_dice: 1.5770, decode.d1.loss_cls: 1.1899, decode.d1.loss_mask: 0.8700, decode.d1.loss_dice: 1.4250, decode.d2.loss_cls: 1.1015, decode.d2.loss_mask: 0.8607, decode.d2.loss_dice: 1.3818, decode.d3.loss_cls: 1.0816, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3561, decode.d4.loss_cls: 1.0775, decode.d4.loss_mask: 0.8496, decode.d4.loss_dice: 1.3552, decode.d5.loss_cls: 1.0758, decode.d5.loss_mask: 0.8479, decode.d5.loss_dice: 1.3480, decode.d6.loss_cls: 1.0763, decode.d6.loss_mask: 0.8409, decode.d6.loss_dice: 1.3453, decode.d7.loss_cls: 1.0764, decode.d7.loss_mask: 0.8377, decode.d7.loss_dice: 1.3485, decode.d8.loss_cls: 1.0627, decode.d8.loss_mask: 0.8453, decode.d8.loss_dice: 1.3494, loss: 36.5683 2022-04-29 02:55:49,283 - mmseg - INFO - Iter [12950/80000] lr: 1.203e-06, eta: 1 day, 10:08:50, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0686, decode.loss_mask: 0.8564, decode.loss_dice: 1.3640, decode.d0.loss_cls: 4.4232, decode.d0.loss_mask: 0.8290, decode.d0.loss_dice: 1.6013, decode.d1.loss_cls: 1.1754, decode.d1.loss_mask: 0.8796, decode.d1.loss_dice: 1.4529, decode.d2.loss_cls: 1.0850, decode.d2.loss_mask: 0.8635, decode.d2.loss_dice: 1.4036, decode.d3.loss_cls: 1.0736, decode.d3.loss_mask: 0.8621, decode.d3.loss_dice: 1.3853, decode.d4.loss_cls: 1.0702, decode.d4.loss_mask: 0.8585, decode.d4.loss_dice: 1.3847, decode.d5.loss_cls: 1.0658, decode.d5.loss_mask: 0.8602, decode.d5.loss_dice: 1.3713, decode.d6.loss_cls: 1.0653, decode.d6.loss_mask: 0.8534, decode.d6.loss_dice: 1.3590, decode.d7.loss_cls: 1.0658, decode.d7.loss_mask: 0.8533, decode.d7.loss_dice: 1.3609, decode.d8.loss_cls: 1.0667, decode.d8.loss_mask: 0.8561, decode.d8.loss_dice: 1.3695, loss: 36.7839 2022-04-29 02:57:18,562 - mmseg - INFO - Saving checkpoint at 13000 iterations 2022-04-29 02:57:42,151 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 02:57:42,159 - mmseg - INFO - Iter [13000/80000] lr: 1.202e-06, eta: 1 day, 10:09:07, time: 2.257, data_time: 0.020, memory: 64979, decode.loss_cls: 1.0447, decode.loss_mask: 0.8349, decode.loss_dice: 1.3418, decode.d0.loss_cls: 4.3913, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.5761, decode.d1.loss_cls: 1.1491, decode.d1.loss_mask: 0.8523, decode.d1.loss_dice: 1.4220, decode.d2.loss_cls: 1.0652, decode.d2.loss_mask: 0.8352, decode.d2.loss_dice: 1.3711, decode.d3.loss_cls: 1.0588, decode.d3.loss_mask: 0.8302, decode.d3.loss_dice: 1.3511, decode.d4.loss_cls: 1.0545, decode.d4.loss_mask: 0.8359, decode.d4.loss_dice: 1.3550, decode.d5.loss_cls: 1.0492, decode.d5.loss_mask: 0.8307, decode.d5.loss_dice: 1.3506, decode.d6.loss_cls: 1.0428, decode.d6.loss_mask: 0.8290, decode.d6.loss_dice: 1.3412, decode.d7.loss_cls: 1.0391, decode.d7.loss_mask: 0.8348, decode.d7.loss_dice: 1.3477, decode.d8.loss_cls: 1.0387, decode.d8.loss_mask: 0.8347, decode.d8.loss_dice: 1.3446, loss: 36.0552 2022-04-29 02:59:11,496 - mmseg - INFO - Iter [13050/80000] lr: 1.202e-06, eta: 1 day, 10:07:23, time: 1.787, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0117, decode.loss_mask: 0.8726, decode.loss_dice: 1.2994, decode.d0.loss_cls: 4.3047, decode.d0.loss_mask: 0.8449, decode.d0.loss_dice: 1.5240, decode.d1.loss_cls: 1.1091, decode.d1.loss_mask: 0.8863, decode.d1.loss_dice: 1.3731, decode.d2.loss_cls: 1.0386, decode.d2.loss_mask: 0.8719, decode.d2.loss_dice: 1.3267, decode.d3.loss_cls: 1.0172, decode.d3.loss_mask: 0.8706, decode.d3.loss_dice: 1.3102, decode.d4.loss_cls: 1.0107, decode.d4.loss_mask: 0.8746, decode.d4.loss_dice: 1.3131, decode.d5.loss_cls: 1.0065, decode.d5.loss_mask: 0.8705, decode.d5.loss_dice: 1.3082, decode.d6.loss_cls: 1.0037, decode.d6.loss_mask: 0.8707, decode.d6.loss_dice: 1.2946, decode.d7.loss_cls: 1.0048, decode.d7.loss_mask: 0.8748, decode.d7.loss_dice: 1.2967, decode.d8.loss_cls: 1.0108, decode.d8.loss_mask: 0.8713, decode.d8.loss_dice: 1.2969, loss: 35.5689 2022-04-29 03:00:40,111 - mmseg - INFO - Iter [13100/80000] lr: 1.201e-06, eta: 1 day, 10:05:36, time: 1.774, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0474, decode.loss_mask: 0.8947, decode.loss_dice: 1.3810, decode.d0.loss_cls: 4.3199, decode.d0.loss_mask: 0.8493, decode.d0.loss_dice: 1.6002, decode.d1.loss_cls: 1.1495, decode.d1.loss_mask: 0.9016, decode.d1.loss_dice: 1.4554, decode.d2.loss_cls: 1.0811, decode.d2.loss_mask: 0.8908, decode.d2.loss_dice: 1.4113, decode.d3.loss_cls: 1.0668, decode.d3.loss_mask: 0.8882, decode.d3.loss_dice: 1.3845, decode.d4.loss_cls: 1.0567, decode.d4.loss_mask: 0.8875, decode.d4.loss_dice: 1.3850, decode.d5.loss_cls: 1.0571, decode.d5.loss_mask: 0.8868, decode.d5.loss_dice: 1.3784, decode.d6.loss_cls: 1.0559, decode.d6.loss_mask: 0.8841, decode.d6.loss_dice: 1.3731, decode.d7.loss_cls: 1.0519, decode.d7.loss_mask: 0.8869, decode.d7.loss_dice: 1.3786, decode.d8.loss_cls: 1.0474, decode.d8.loss_mask: 0.8904, decode.d8.loss_dice: 1.3764, loss: 36.9176 2022-04-29 03:02:08,280 - mmseg - INFO - Iter [13150/80000] lr: 1.200e-06, eta: 1 day, 10:03:46, time: 1.763, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0476, decode.loss_mask: 0.8380, decode.loss_dice: 1.3507, decode.d0.loss_cls: 4.3210, decode.d0.loss_mask: 0.8057, decode.d0.loss_dice: 1.5776, decode.d1.loss_cls: 1.1680, decode.d1.loss_mask: 0.8558, decode.d1.loss_dice: 1.4270, decode.d2.loss_cls: 1.0808, decode.d2.loss_mask: 0.8393, decode.d2.loss_dice: 1.3731, decode.d3.loss_cls: 1.0681, decode.d3.loss_mask: 0.8350, decode.d3.loss_dice: 1.3555, decode.d4.loss_cls: 1.0641, decode.d4.loss_mask: 0.8340, decode.d4.loss_dice: 1.3486, decode.d5.loss_cls: 1.0581, decode.d5.loss_mask: 0.8397, decode.d5.loss_dice: 1.3472, decode.d6.loss_cls: 1.0489, decode.d6.loss_mask: 0.8356, decode.d6.loss_dice: 1.3436, decode.d7.loss_cls: 1.0548, decode.d7.loss_mask: 0.8349, decode.d7.loss_dice: 1.3412, decode.d8.loss_cls: 1.0484, decode.d8.loss_mask: 0.8367, decode.d8.loss_dice: 1.3558, loss: 36.1349 2022-04-29 03:03:36,823 - mmseg - INFO - Iter [13200/80000] lr: 1.199e-06, eta: 1 day, 10:01:58, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0498, decode.loss_mask: 0.8931, decode.loss_dice: 1.3726, decode.d0.loss_cls: 4.2810, decode.d0.loss_mask: 0.8542, decode.d0.loss_dice: 1.5894, decode.d1.loss_cls: 1.1601, decode.d1.loss_mask: 0.9089, decode.d1.loss_dice: 1.4437, decode.d2.loss_cls: 1.0827, decode.d2.loss_mask: 0.8997, decode.d2.loss_dice: 1.3952, decode.d3.loss_cls: 1.0619, decode.d3.loss_mask: 0.8979, decode.d3.loss_dice: 1.3834, decode.d4.loss_cls: 1.0604, decode.d4.loss_mask: 0.9044, decode.d4.loss_dice: 1.3827, decode.d5.loss_cls: 1.0589, decode.d5.loss_mask: 0.8998, decode.d5.loss_dice: 1.3802, decode.d6.loss_cls: 1.0539, decode.d6.loss_mask: 0.8904, decode.d6.loss_dice: 1.3686, decode.d7.loss_cls: 1.0461, decode.d7.loss_mask: 0.8930, decode.d7.loss_dice: 1.3735, decode.d8.loss_cls: 1.0439, decode.d8.loss_mask: 0.8933, decode.d8.loss_dice: 1.3727, loss: 36.8952 2022-04-29 03:05:05,962 - mmseg - INFO - Iter [13250/80000] lr: 1.198e-06, eta: 1 day, 10:00:13, time: 1.783, data_time: 0.017, memory: 64979, decode.loss_cls: 1.0751, decode.loss_mask: 0.8303, decode.loss_dice: 1.3533, decode.d0.loss_cls: 4.3230, decode.d0.loss_mask: 0.7990, decode.d0.loss_dice: 1.5987, decode.d1.loss_cls: 1.1984, decode.d1.loss_mask: 0.8451, decode.d1.loss_dice: 1.4476, decode.d2.loss_cls: 1.1107, decode.d2.loss_mask: 0.8359, decode.d2.loss_dice: 1.3955, decode.d3.loss_cls: 1.0879, decode.d3.loss_mask: 0.8294, decode.d3.loss_dice: 1.3680, decode.d4.loss_cls: 1.0786, decode.d4.loss_mask: 0.8245, decode.d4.loss_dice: 1.3759, decode.d5.loss_cls: 1.0800, decode.d5.loss_mask: 0.8273, decode.d5.loss_dice: 1.3732, decode.d6.loss_cls: 1.0709, decode.d6.loss_mask: 0.8310, decode.d6.loss_dice: 1.3525, decode.d7.loss_cls: 1.0675, decode.d7.loss_mask: 0.8280, decode.d7.loss_dice: 1.3527, decode.d8.loss_cls: 1.0621, decode.d8.loss_mask: 0.8306, decode.d8.loss_dice: 1.3593, loss: 36.4119 2022-04-29 03:06:35,366 - mmseg - INFO - Iter [13300/80000] lr: 1.197e-06, eta: 1 day, 9:58:30, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9957, decode.loss_mask: 0.8779, decode.loss_dice: 1.3649, decode.d0.loss_cls: 4.1995, decode.d0.loss_mask: 0.8421, decode.d0.loss_dice: 1.5807, decode.d1.loss_cls: 1.1080, decode.d1.loss_mask: 0.8885, decode.d1.loss_dice: 1.4414, decode.d2.loss_cls: 1.0222, decode.d2.loss_mask: 0.8843, decode.d2.loss_dice: 1.3946, decode.d3.loss_cls: 1.0088, decode.d3.loss_mask: 0.8785, decode.d3.loss_dice: 1.3799, decode.d4.loss_cls: 1.0002, decode.d4.loss_mask: 0.8857, decode.d4.loss_dice: 1.3795, decode.d5.loss_cls: 0.9990, decode.d5.loss_mask: 0.8760, decode.d5.loss_dice: 1.3730, decode.d6.loss_cls: 0.9946, decode.d6.loss_mask: 0.8793, decode.d6.loss_dice: 1.3657, decode.d7.loss_cls: 0.9994, decode.d7.loss_mask: 0.8762, decode.d7.loss_dice: 1.3648, decode.d8.loss_cls: 0.9914, decode.d8.loss_mask: 0.8730, decode.d8.loss_dice: 1.3704, loss: 36.0952 2022-04-29 03:08:03,389 - mmseg - INFO - Iter [13350/80000] lr: 1.196e-06, eta: 1 day, 9:56:40, time: 1.760, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0174, decode.loss_mask: 0.8274, decode.loss_dice: 1.3295, decode.d0.loss_cls: 4.2279, decode.d0.loss_mask: 0.7920, decode.d0.loss_dice: 1.5603, decode.d1.loss_cls: 1.1237, decode.d1.loss_mask: 0.8385, decode.d1.loss_dice: 1.4147, decode.d2.loss_cls: 1.0460, decode.d2.loss_mask: 0.8290, decode.d2.loss_dice: 1.3608, decode.d3.loss_cls: 1.0258, decode.d3.loss_mask: 0.8234, decode.d3.loss_dice: 1.3495, decode.d4.loss_cls: 1.0120, decode.d4.loss_mask: 0.8289, decode.d4.loss_dice: 1.3489, decode.d5.loss_cls: 1.0070, decode.d5.loss_mask: 0.8216, decode.d5.loss_dice: 1.3380, decode.d6.loss_cls: 1.0141, decode.d6.loss_mask: 0.8162, decode.d6.loss_dice: 1.3253, decode.d7.loss_cls: 1.0124, decode.d7.loss_mask: 0.8200, decode.d7.loss_dice: 1.3320, decode.d8.loss_cls: 1.0062, decode.d8.loss_mask: 0.8300, decode.d8.loss_dice: 1.3378, loss: 35.4165 2022-04-29 03:09:32,426 - mmseg - INFO - Iter [13400/80000] lr: 1.195e-06, eta: 1 day, 9:54:56, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0540, decode.loss_mask: 0.8596, decode.loss_dice: 1.3213, decode.d0.loss_cls: 4.2145, decode.d0.loss_mask: 0.8348, decode.d0.loss_dice: 1.5498, decode.d1.loss_cls: 1.1476, decode.d1.loss_mask: 0.8794, decode.d1.loss_dice: 1.3920, decode.d2.loss_cls: 1.0633, decode.d2.loss_mask: 0.8663, decode.d2.loss_dice: 1.3450, decode.d3.loss_cls: 1.0610, decode.d3.loss_mask: 0.8578, decode.d3.loss_dice: 1.3268, decode.d4.loss_cls: 1.0557, decode.d4.loss_mask: 0.8546, decode.d4.loss_dice: 1.3232, decode.d5.loss_cls: 1.0589, decode.d5.loss_mask: 0.8534, decode.d5.loss_dice: 1.3215, decode.d6.loss_cls: 1.0427, decode.d6.loss_mask: 0.8576, decode.d6.loss_dice: 1.3143, decode.d7.loss_cls: 1.0389, decode.d7.loss_mask: 0.8574, decode.d7.loss_dice: 1.3155, decode.d8.loss_cls: 1.0468, decode.d8.loss_mask: 0.8627, decode.d8.loss_dice: 1.3265, loss: 35.9027 2022-04-29 03:11:01,447 - mmseg - INFO - Iter [13450/80000] lr: 1.194e-06, eta: 1 day, 9:53:11, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0509, decode.loss_mask: 0.8394, decode.loss_dice: 1.3524, decode.d0.loss_cls: 4.2084, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.5950, decode.d1.loss_cls: 1.1621, decode.d1.loss_mask: 0.8507, decode.d1.loss_dice: 1.4318, decode.d2.loss_cls: 1.0792, decode.d2.loss_mask: 0.8460, decode.d2.loss_dice: 1.3924, decode.d3.loss_cls: 1.0587, decode.d3.loss_mask: 0.8425, decode.d3.loss_dice: 1.3680, decode.d4.loss_cls: 1.0530, decode.d4.loss_mask: 0.8408, decode.d4.loss_dice: 1.3636, decode.d5.loss_cls: 1.0521, decode.d5.loss_mask: 0.8402, decode.d5.loss_dice: 1.3552, decode.d6.loss_cls: 1.0548, decode.d6.loss_mask: 0.8353, decode.d6.loss_dice: 1.3450, decode.d7.loss_cls: 1.0519, decode.d7.loss_mask: 0.8376, decode.d7.loss_dice: 1.3519, decode.d8.loss_cls: 1.0568, decode.d8.loss_mask: 0.8399, decode.d8.loss_dice: 1.3525, loss: 36.1161 2022-04-29 03:12:30,261 - mmseg - INFO - Iter [13500/80000] lr: 1.194e-06, eta: 1 day, 9:51:25, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0428, decode.loss_mask: 0.8447, decode.loss_dice: 1.3035, decode.d0.loss_cls: 4.1680, decode.d0.loss_mask: 0.8126, decode.d0.loss_dice: 1.5219, decode.d1.loss_cls: 1.1573, decode.d1.loss_mask: 0.8537, decode.d1.loss_dice: 1.3758, decode.d2.loss_cls: 1.0751, decode.d2.loss_mask: 0.8365, decode.d2.loss_dice: 1.3216, decode.d3.loss_cls: 1.0474, decode.d3.loss_mask: 0.8411, decode.d3.loss_dice: 1.3073, decode.d4.loss_cls: 1.0455, decode.d4.loss_mask: 0.8407, decode.d4.loss_dice: 1.3084, decode.d5.loss_cls: 1.0458, decode.d5.loss_mask: 0.8374, decode.d5.loss_dice: 1.3046, decode.d6.loss_cls: 1.0415, decode.d6.loss_mask: 0.8390, decode.d6.loss_dice: 1.2909, decode.d7.loss_cls: 1.0344, decode.d7.loss_mask: 0.8410, decode.d7.loss_dice: 1.2959, decode.d8.loss_cls: 1.0390, decode.d8.loss_mask: 0.8417, decode.d8.loss_dice: 1.2997, loss: 35.4148 2022-04-29 03:13:58,889 - mmseg - INFO - Iter [13550/80000] lr: 1.193e-06, eta: 1 day, 9:49:39, time: 1.774, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0500, decode.loss_mask: 0.8504, decode.loss_dice: 1.3442, decode.d0.loss_cls: 4.1859, decode.d0.loss_mask: 0.8133, decode.d0.loss_dice: 1.5755, decode.d1.loss_cls: 1.1534, decode.d1.loss_mask: 0.8630, decode.d1.loss_dice: 1.4141, decode.d2.loss_cls: 1.0815, decode.d2.loss_mask: 0.8521, decode.d2.loss_dice: 1.3767, decode.d3.loss_cls: 1.0637, decode.d3.loss_mask: 0.8522, decode.d3.loss_dice: 1.3544, decode.d4.loss_cls: 1.0539, decode.d4.loss_mask: 0.8486, decode.d4.loss_dice: 1.3532, decode.d5.loss_cls: 1.0500, decode.d5.loss_mask: 0.8477, decode.d5.loss_dice: 1.3547, decode.d6.loss_cls: 1.0391, decode.d6.loss_mask: 0.8500, decode.d6.loss_dice: 1.3496, decode.d7.loss_cls: 1.0414, decode.d7.loss_mask: 0.8498, decode.d7.loss_dice: 1.3501, decode.d8.loss_cls: 1.0388, decode.d8.loss_mask: 0.8488, decode.d8.loss_dice: 1.3523, loss: 36.0585 2022-04-29 03:15:27,783 - mmseg - INFO - Iter [13600/80000] lr: 1.192e-06, eta: 1 day, 9:47:54, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0328, decode.loss_mask: 0.8664, decode.loss_dice: 1.3188, decode.d0.loss_cls: 4.1712, decode.d0.loss_mask: 0.8411, decode.d0.loss_dice: 1.5518, decode.d1.loss_cls: 1.1357, decode.d1.loss_mask: 0.8861, decode.d1.loss_dice: 1.4057, decode.d2.loss_cls: 1.0695, decode.d2.loss_mask: 0.8652, decode.d2.loss_dice: 1.3604, decode.d3.loss_cls: 1.0506, decode.d3.loss_mask: 0.8597, decode.d3.loss_dice: 1.3257, decode.d4.loss_cls: 1.0470, decode.d4.loss_mask: 0.8627, decode.d4.loss_dice: 1.3292, decode.d5.loss_cls: 1.0429, decode.d5.loss_mask: 0.8563, decode.d5.loss_dice: 1.3211, decode.d6.loss_cls: 1.0306, decode.d6.loss_mask: 0.8589, decode.d6.loss_dice: 1.3200, decode.d7.loss_cls: 1.0285, decode.d7.loss_mask: 0.8598, decode.d7.loss_dice: 1.3168, decode.d8.loss_cls: 1.0307, decode.d8.loss_mask: 0.8647, decode.d8.loss_dice: 1.3190, loss: 35.8290 2022-04-29 03:16:56,749 - mmseg - INFO - Iter [13650/80000] lr: 1.191e-06, eta: 1 day, 9:46:09, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0912, decode.loss_mask: 0.8452, decode.loss_dice: 1.3242, decode.d0.loss_cls: 4.1479, decode.d0.loss_mask: 0.8137, decode.d0.loss_dice: 1.5566, decode.d1.loss_cls: 1.2056, decode.d1.loss_mask: 0.8546, decode.d1.loss_dice: 1.4002, decode.d2.loss_cls: 1.1304, decode.d2.loss_mask: 0.8476, decode.d2.loss_dice: 1.3544, decode.d3.loss_cls: 1.1047, decode.d3.loss_mask: 0.8461, decode.d3.loss_dice: 1.3314, decode.d4.loss_cls: 1.0941, decode.d4.loss_mask: 0.8465, decode.d4.loss_dice: 1.3307, decode.d5.loss_cls: 1.0944, decode.d5.loss_mask: 0.8403, decode.d5.loss_dice: 1.3268, decode.d6.loss_cls: 1.0920, decode.d6.loss_mask: 0.8423, decode.d6.loss_dice: 1.3178, decode.d7.loss_cls: 1.0929, decode.d7.loss_mask: 0.8470, decode.d7.loss_dice: 1.3187, decode.d8.loss_cls: 1.0881, decode.d8.loss_mask: 0.8474, decode.d8.loss_dice: 1.3233, loss: 36.1561 2022-04-29 03:18:25,120 - mmseg - INFO - Iter [13700/80000] lr: 1.190e-06, eta: 1 day, 9:44:22, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0518, decode.loss_mask: 0.8442, decode.loss_dice: 1.3410, decode.d0.loss_cls: 4.0896, decode.d0.loss_mask: 0.8169, decode.d0.loss_dice: 1.5631, decode.d1.loss_cls: 1.1540, decode.d1.loss_mask: 0.8634, decode.d1.loss_dice: 1.4127, decode.d2.loss_cls: 1.0802, decode.d2.loss_mask: 0.8524, decode.d2.loss_dice: 1.3610, decode.d3.loss_cls: 1.0671, decode.d3.loss_mask: 0.8506, decode.d3.loss_dice: 1.3405, decode.d4.loss_cls: 1.0606, decode.d4.loss_mask: 0.8388, decode.d4.loss_dice: 1.3422, decode.d5.loss_cls: 1.0510, decode.d5.loss_mask: 0.8449, decode.d5.loss_dice: 1.3437, decode.d6.loss_cls: 1.0584, decode.d6.loss_mask: 0.8437, decode.d6.loss_dice: 1.3294, decode.d7.loss_cls: 1.0563, decode.d7.loss_mask: 0.8433, decode.d7.loss_dice: 1.3279, decode.d8.loss_cls: 1.0533, decode.d8.loss_mask: 0.8488, decode.d8.loss_dice: 1.3354, loss: 35.8659 2022-04-29 03:19:53,864 - mmseg - INFO - Iter [13750/80000] lr: 1.189e-06, eta: 1 day, 9:42:37, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0538, decode.loss_mask: 0.8565, decode.loss_dice: 1.3190, decode.d0.loss_cls: 4.0218, decode.d0.loss_mask: 0.8310, decode.d0.loss_dice: 1.5460, decode.d1.loss_cls: 1.1545, decode.d1.loss_mask: 0.8814, decode.d1.loss_dice: 1.3911, decode.d2.loss_cls: 1.0834, decode.d2.loss_mask: 0.8646, decode.d2.loss_dice: 1.3441, decode.d3.loss_cls: 1.0590, decode.d3.loss_mask: 0.8642, decode.d3.loss_dice: 1.3298, decode.d4.loss_cls: 1.0569, decode.d4.loss_mask: 0.8660, decode.d4.loss_dice: 1.3208, decode.d5.loss_cls: 1.0543, decode.d5.loss_mask: 0.8609, decode.d5.loss_dice: 1.3118, decode.d6.loss_cls: 1.0487, decode.d6.loss_mask: 0.8605, decode.d6.loss_dice: 1.3043, decode.d7.loss_cls: 1.0520, decode.d7.loss_mask: 0.8582, decode.d7.loss_dice: 1.3126, decode.d8.loss_cls: 1.0479, decode.d8.loss_mask: 0.8569, decode.d8.loss_dice: 1.3055, loss: 35.7174 2022-04-29 03:21:22,777 - mmseg - INFO - Iter [13800/80000] lr: 1.188e-06, eta: 1 day, 9:40:52, time: 1.776, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0261, decode.loss_mask: 0.8512, decode.loss_dice: 1.3602, decode.d0.loss_cls: 4.0350, decode.d0.loss_mask: 0.8144, decode.d0.loss_dice: 1.5915, decode.d1.loss_cls: 1.1240, decode.d1.loss_mask: 0.8700, decode.d1.loss_dice: 1.4490, decode.d2.loss_cls: 1.0540, decode.d2.loss_mask: 0.8638, decode.d2.loss_dice: 1.4002, decode.d3.loss_cls: 1.0396, decode.d3.loss_mask: 0.8572, decode.d3.loss_dice: 1.3743, decode.d4.loss_cls: 1.0318, decode.d4.loss_mask: 0.8553, decode.d4.loss_dice: 1.3786, decode.d5.loss_cls: 1.0287, decode.d5.loss_mask: 0.8529, decode.d5.loss_dice: 1.3772, decode.d6.loss_cls: 1.0249, decode.d6.loss_mask: 0.8479, decode.d6.loss_dice: 1.3623, decode.d7.loss_cls: 1.0254, decode.d7.loss_mask: 0.8455, decode.d7.loss_dice: 1.3647, decode.d8.loss_cls: 1.0214, decode.d8.loss_mask: 0.8444, decode.d8.loss_dice: 1.3638, loss: 35.9352 2022-04-29 03:22:51,061 - mmseg - INFO - Iter [13850/80000] lr: 1.187e-06, eta: 1 day, 9:39:05, time: 1.768, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0402, decode.loss_mask: 0.8619, decode.loss_dice: 1.3401, decode.d0.loss_cls: 4.0539, decode.d0.loss_mask: 0.8298, decode.d0.loss_dice: 1.5631, decode.d1.loss_cls: 1.1417, decode.d1.loss_mask: 0.8727, decode.d1.loss_dice: 1.4277, decode.d2.loss_cls: 1.0671, decode.d2.loss_mask: 0.8665, decode.d2.loss_dice: 1.3784, decode.d3.loss_cls: 1.0495, decode.d3.loss_mask: 0.8605, decode.d3.loss_dice: 1.3619, decode.d4.loss_cls: 1.0375, decode.d4.loss_mask: 0.8642, decode.d4.loss_dice: 1.3608, decode.d5.loss_cls: 1.0383, decode.d5.loss_mask: 0.8574, decode.d5.loss_dice: 1.3504, decode.d6.loss_cls: 1.0374, decode.d6.loss_mask: 0.8623, decode.d6.loss_dice: 1.3383, decode.d7.loss_cls: 1.0369, decode.d7.loss_mask: 0.8576, decode.d7.loss_dice: 1.3279, decode.d8.loss_cls: 1.0326, decode.d8.loss_mask: 0.8621, decode.d8.loss_dice: 1.3391, loss: 35.9179 2022-04-29 03:24:18,697 - mmseg - INFO - Iter [13900/80000] lr: 1.186e-06, eta: 1 day, 9:37:15, time: 1.753, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0130, decode.loss_mask: 0.8395, decode.loss_dice: 1.2467, decode.d0.loss_cls: 3.9825, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.4821, decode.d1.loss_cls: 1.1018, decode.d1.loss_mask: 0.8549, decode.d1.loss_dice: 1.3417, decode.d2.loss_cls: 1.0310, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.2945, decode.d3.loss_cls: 1.0166, decode.d3.loss_mask: 0.8354, decode.d3.loss_dice: 1.2646, decode.d4.loss_cls: 1.0112, decode.d4.loss_mask: 0.8323, decode.d4.loss_dice: 1.2627, decode.d5.loss_cls: 1.0107, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.2558, decode.d6.loss_cls: 1.0038, decode.d6.loss_mask: 0.8268, decode.d6.loss_dice: 1.2531, decode.d7.loss_cls: 1.0010, decode.d7.loss_mask: 0.8339, decode.d7.loss_dice: 1.2466, decode.d8.loss_cls: 0.9997, decode.d8.loss_mask: 0.8340, decode.d8.loss_dice: 1.2490, loss: 34.3965 2022-04-29 03:25:46,973 - mmseg - INFO - Iter [13950/80000] lr: 1.185e-06, eta: 1 day, 9:35:28, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0465, decode.loss_mask: 0.8488, decode.loss_dice: 1.3069, decode.d0.loss_cls: 4.0158, decode.d0.loss_mask: 0.8237, decode.d0.loss_dice: 1.5441, decode.d1.loss_cls: 1.1587, decode.d1.loss_mask: 0.8715, decode.d1.loss_dice: 1.3912, decode.d2.loss_cls: 1.0706, decode.d2.loss_mask: 0.8636, decode.d2.loss_dice: 1.3536, decode.d3.loss_cls: 1.0591, decode.d3.loss_mask: 0.8606, decode.d3.loss_dice: 1.3278, decode.d4.loss_cls: 1.0492, decode.d4.loss_mask: 0.8615, decode.d4.loss_dice: 1.3318, decode.d5.loss_cls: 1.0465, decode.d5.loss_mask: 0.8588, decode.d5.loss_dice: 1.3300, decode.d6.loss_cls: 1.0376, decode.d6.loss_mask: 0.8597, decode.d6.loss_dice: 1.3104, decode.d7.loss_cls: 1.0433, decode.d7.loss_mask: 0.8537, decode.d7.loss_dice: 1.3166, decode.d8.loss_cls: 1.0369, decode.d8.loss_mask: 0.8525, decode.d8.loss_dice: 1.3182, loss: 35.6491 2022-04-29 03:27:15,741 - mmseg - INFO - Saving checkpoint at 14000 iterations 2022-04-29 03:27:39,153 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 03:27:39,160 - mmseg - INFO - Iter [14000/80000] lr: 1.185e-06, eta: 1 day, 9:35:33, time: 2.241, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0363, decode.loss_mask: 0.8406, decode.loss_dice: 1.3321, decode.d0.loss_cls: 3.9359, decode.d0.loss_mask: 0.8146, decode.d0.loss_dice: 1.5614, decode.d1.loss_cls: 1.1329, decode.d1.loss_mask: 0.8567, decode.d1.loss_dice: 1.4177, decode.d2.loss_cls: 1.0679, decode.d2.loss_mask: 0.8417, decode.d2.loss_dice: 1.3666, decode.d3.loss_cls: 1.0458, decode.d3.loss_mask: 0.8401, decode.d3.loss_dice: 1.3392, decode.d4.loss_cls: 1.0406, decode.d4.loss_mask: 0.8362, decode.d4.loss_dice: 1.3423, decode.d5.loss_cls: 1.0360, decode.d5.loss_mask: 0.8400, decode.d5.loss_dice: 1.3415, decode.d6.loss_cls: 1.0296, decode.d6.loss_mask: 0.8421, decode.d6.loss_dice: 1.3262, decode.d7.loss_cls: 1.0360, decode.d7.loss_mask: 0.8379, decode.d7.loss_dice: 1.3268, decode.d8.loss_cls: 1.0281, decode.d8.loss_mask: 0.8490, decode.d8.loss_dice: 1.3342, loss: 35.4760 2022-04-29 03:29:08,429 - mmseg - INFO - Iter [14050/80000] lr: 1.184e-06, eta: 1 day, 9:33:51, time: 1.787, data_time: 0.018, memory: 64979, decode.loss_cls: 1.0409, decode.loss_mask: 0.8554, decode.loss_dice: 1.3593, decode.d0.loss_cls: 4.0113, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.5870, decode.d1.loss_cls: 1.1485, decode.d1.loss_mask: 0.8733, decode.d1.loss_dice: 1.4391, decode.d2.loss_cls: 1.0692, decode.d2.loss_mask: 0.8642, decode.d2.loss_dice: 1.3996, decode.d3.loss_cls: 1.0551, decode.d3.loss_mask: 0.8595, decode.d3.loss_dice: 1.3789, decode.d4.loss_cls: 1.0514, decode.d4.loss_mask: 0.8593, decode.d4.loss_dice: 1.3704, decode.d5.loss_cls: 1.0418, decode.d5.loss_mask: 0.8571, decode.d5.loss_dice: 1.3607, decode.d6.loss_cls: 1.0379, decode.d6.loss_mask: 0.8498, decode.d6.loss_dice: 1.3520, decode.d7.loss_cls: 1.0366, decode.d7.loss_mask: 0.8538, decode.d7.loss_dice: 1.3539, decode.d8.loss_cls: 1.0382, decode.d8.loss_mask: 0.8531, decode.d8.loss_dice: 1.3614, loss: 36.0495 2022-04-29 03:30:37,120 - mmseg - INFO - Iter [14100/80000] lr: 1.183e-06, eta: 1 day, 9:32:05, time: 1.774, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0087, decode.loss_mask: 0.8296, decode.loss_dice: 1.3263, decode.d0.loss_cls: 3.9741, decode.d0.loss_mask: 0.8076, decode.d0.loss_dice: 1.5606, decode.d1.loss_cls: 1.1283, decode.d1.loss_mask: 0.8469, decode.d1.loss_dice: 1.4206, decode.d2.loss_cls: 1.0424, decode.d2.loss_mask: 0.8402, decode.d2.loss_dice: 1.3648, decode.d3.loss_cls: 1.0281, decode.d3.loss_mask: 0.8323, decode.d3.loss_dice: 1.3418, decode.d4.loss_cls: 1.0211, decode.d4.loss_mask: 0.8372, decode.d4.loss_dice: 1.3365, decode.d5.loss_cls: 1.0116, decode.d5.loss_mask: 0.8349, decode.d5.loss_dice: 1.3273, decode.d6.loss_cls: 1.0132, decode.d6.loss_mask: 0.8273, decode.d6.loss_dice: 1.3202, decode.d7.loss_cls: 1.0057, decode.d7.loss_mask: 0.8340, decode.d7.loss_dice: 1.3197, decode.d8.loss_cls: 1.0000, decode.d8.loss_mask: 0.8310, decode.d8.loss_dice: 1.3221, loss: 35.1942 2022-04-29 03:32:05,999 - mmseg - INFO - Iter [14150/80000] lr: 1.182e-06, eta: 1 day, 9:30:21, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0035, decode.loss_mask: 0.8512, decode.loss_dice: 1.3274, decode.d0.loss_cls: 3.9199, decode.d0.loss_mask: 0.8220, decode.d0.loss_dice: 1.5399, decode.d1.loss_cls: 1.1153, decode.d1.loss_mask: 0.8702, decode.d1.loss_dice: 1.4081, decode.d2.loss_cls: 1.0331, decode.d2.loss_mask: 0.8602, decode.d2.loss_dice: 1.3568, decode.d3.loss_cls: 1.0182, decode.d3.loss_mask: 0.8534, decode.d3.loss_dice: 1.3373, decode.d4.loss_cls: 1.0061, decode.d4.loss_mask: 0.8589, decode.d4.loss_dice: 1.3410, decode.d5.loss_cls: 1.0058, decode.d5.loss_mask: 0.8489, decode.d5.loss_dice: 1.3311, decode.d6.loss_cls: 0.9987, decode.d6.loss_mask: 0.8540, decode.d6.loss_dice: 1.3234, decode.d7.loss_cls: 1.0059, decode.d7.loss_mask: 0.8535, decode.d7.loss_dice: 1.3313, decode.d8.loss_cls: 0.9957, decode.d8.loss_mask: 0.8496, decode.d8.loss_dice: 1.3325, loss: 35.2529 2022-04-29 03:33:34,662 - mmseg - INFO - Iter [14200/80000] lr: 1.181e-06, eta: 1 day, 9:28:36, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0367, decode.loss_mask: 0.8738, decode.loss_dice: 1.3384, decode.d0.loss_cls: 3.9173, decode.d0.loss_mask: 0.8430, decode.d0.loss_dice: 1.5709, decode.d1.loss_cls: 1.1421, decode.d1.loss_mask: 0.8874, decode.d1.loss_dice: 1.4291, decode.d2.loss_cls: 1.0646, decode.d2.loss_mask: 0.8756, decode.d2.loss_dice: 1.3731, decode.d3.loss_cls: 1.0455, decode.d3.loss_mask: 0.8717, decode.d3.loss_dice: 1.3562, decode.d4.loss_cls: 1.0341, decode.d4.loss_mask: 0.8736, decode.d4.loss_dice: 1.3595, decode.d5.loss_cls: 1.0335, decode.d5.loss_mask: 0.8711, decode.d5.loss_dice: 1.3506, decode.d6.loss_cls: 1.0316, decode.d6.loss_mask: 0.8693, decode.d6.loss_dice: 1.3386, decode.d7.loss_cls: 1.0327, decode.d7.loss_mask: 0.8687, decode.d7.loss_dice: 1.3447, decode.d8.loss_cls: 1.0297, decode.d8.loss_mask: 0.8737, decode.d8.loss_dice: 1.3415, loss: 35.8778 2022-04-29 03:35:03,402 - mmseg - INFO - Iter [14250/80000] lr: 1.180e-06, eta: 1 day, 9:26:51, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0598, decode.loss_mask: 0.8554, decode.loss_dice: 1.3674, decode.d0.loss_cls: 3.9115, decode.d0.loss_mask: 0.8337, decode.d0.loss_dice: 1.5991, decode.d1.loss_cls: 1.1762, decode.d1.loss_mask: 0.8793, decode.d1.loss_dice: 1.4444, decode.d2.loss_cls: 1.0870, decode.d2.loss_mask: 0.8658, decode.d2.loss_dice: 1.4034, decode.d3.loss_cls: 1.0723, decode.d3.loss_mask: 0.8573, decode.d3.loss_dice: 1.3772, decode.d4.loss_cls: 1.0708, decode.d4.loss_mask: 0.8542, decode.d4.loss_dice: 1.3657, decode.d5.loss_cls: 1.0620, decode.d5.loss_mask: 0.8504, decode.d5.loss_dice: 1.3673, decode.d6.loss_cls: 1.0595, decode.d6.loss_mask: 0.8537, decode.d6.loss_dice: 1.3608, decode.d7.loss_cls: 1.0552, decode.d7.loss_mask: 0.8535, decode.d7.loss_dice: 1.3650, decode.d8.loss_cls: 1.0497, decode.d8.loss_mask: 0.8558, decode.d8.loss_dice: 1.3664, loss: 36.1794 2022-04-29 03:36:32,081 - mmseg - INFO - Iter [14300/80000] lr: 1.179e-06, eta: 1 day, 9:25:06, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9714, decode.loss_mask: 0.8260, decode.loss_dice: 1.2904, decode.d0.loss_cls: 3.8068, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.5076, decode.d1.loss_cls: 1.0698, decode.d1.loss_mask: 0.8352, decode.d1.loss_dice: 1.3879, decode.d2.loss_cls: 0.9975, decode.d2.loss_mask: 0.8297, decode.d2.loss_dice: 1.3255, decode.d3.loss_cls: 0.9862, decode.d3.loss_mask: 0.8260, decode.d3.loss_dice: 1.3051, decode.d4.loss_cls: 0.9829, decode.d4.loss_mask: 0.8229, decode.d4.loss_dice: 1.3009, decode.d5.loss_cls: 0.9773, decode.d5.loss_mask: 0.8215, decode.d5.loss_dice: 1.2947, decode.d6.loss_cls: 0.9704, decode.d6.loss_mask: 0.8163, decode.d6.loss_dice: 1.2820, decode.d7.loss_cls: 0.9717, decode.d7.loss_mask: 0.8164, decode.d7.loss_dice: 1.2990, decode.d8.loss_cls: 0.9703, decode.d8.loss_mask: 0.8253, decode.d8.loss_dice: 1.2967, loss: 34.2101 2022-04-29 03:38:01,261 - mmseg - INFO - Iter [14350/80000] lr: 1.178e-06, eta: 1 day, 9:23:24, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0569, decode.loss_mask: 0.8267, decode.loss_dice: 1.3582, decode.d0.loss_cls: 3.8980, decode.d0.loss_mask: 0.7984, decode.d0.loss_dice: 1.5750, decode.d1.loss_cls: 1.1696, decode.d1.loss_mask: 0.8479, decode.d1.loss_dice: 1.4339, decode.d2.loss_cls: 1.0923, decode.d2.loss_mask: 0.8366, decode.d2.loss_dice: 1.3832, decode.d3.loss_cls: 1.0748, decode.d3.loss_mask: 0.8336, decode.d3.loss_dice: 1.3586, decode.d4.loss_cls: 1.0751, decode.d4.loss_mask: 0.8288, decode.d4.loss_dice: 1.3606, decode.d5.loss_cls: 1.0661, decode.d5.loss_mask: 0.8316, decode.d5.loss_dice: 1.3576, decode.d6.loss_cls: 1.0659, decode.d6.loss_mask: 0.8264, decode.d6.loss_dice: 1.3441, decode.d7.loss_cls: 1.0676, decode.d7.loss_mask: 0.8257, decode.d7.loss_dice: 1.3490, decode.d8.loss_cls: 1.0573, decode.d8.loss_mask: 0.8296, decode.d8.loss_dice: 1.3508, loss: 35.7799 2022-04-29 03:39:29,848 - mmseg - INFO - Iter [14400/80000] lr: 1.177e-06, eta: 1 day, 9:21:39, time: 1.772, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0072, decode.loss_mask: 0.8799, decode.loss_dice: 1.3420, decode.d0.loss_cls: 3.8003, decode.d0.loss_mask: 0.8402, decode.d0.loss_dice: 1.5649, decode.d1.loss_cls: 1.1089, decode.d1.loss_mask: 0.8908, decode.d1.loss_dice: 1.4176, decode.d2.loss_cls: 1.0443, decode.d2.loss_mask: 0.8758, decode.d2.loss_dice: 1.3693, decode.d3.loss_cls: 1.0267, decode.d3.loss_mask: 0.8687, decode.d3.loss_dice: 1.3494, decode.d4.loss_cls: 1.0193, decode.d4.loss_mask: 0.8754, decode.d4.loss_dice: 1.3450, decode.d5.loss_cls: 1.0103, decode.d5.loss_mask: 0.8760, decode.d5.loss_dice: 1.3525, decode.d6.loss_cls: 1.0048, decode.d6.loss_mask: 0.8733, decode.d6.loss_dice: 1.3397, decode.d7.loss_cls: 1.0052, decode.d7.loss_mask: 0.8742, decode.d7.loss_dice: 1.3431, decode.d8.loss_cls: 1.0045, decode.d8.loss_mask: 0.8771, decode.d8.loss_dice: 1.3378, loss: 35.5244 2022-04-29 03:40:58,154 - mmseg - INFO - Iter [14450/80000] lr: 1.176e-06, eta: 1 day, 9:19:53, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9946, decode.loss_mask: 0.8398, decode.loss_dice: 1.2840, decode.d0.loss_cls: 3.8119, decode.d0.loss_mask: 0.8202, decode.d0.loss_dice: 1.5218, decode.d1.loss_cls: 1.0898, decode.d1.loss_mask: 0.8625, decode.d1.loss_dice: 1.3840, decode.d2.loss_cls: 1.0232, decode.d2.loss_mask: 0.8479, decode.d2.loss_dice: 1.3272, decode.d3.loss_cls: 1.0074, decode.d3.loss_mask: 0.8392, decode.d3.loss_dice: 1.3061, decode.d4.loss_cls: 1.0092, decode.d4.loss_mask: 0.8448, decode.d4.loss_dice: 1.3076, decode.d5.loss_cls: 1.0027, decode.d5.loss_mask: 0.8373, decode.d5.loss_dice: 1.3003, decode.d6.loss_cls: 1.0001, decode.d6.loss_mask: 0.8331, decode.d6.loss_dice: 1.2888, decode.d7.loss_cls: 0.9926, decode.d7.loss_mask: 0.8400, decode.d7.loss_dice: 1.2874, decode.d8.loss_cls: 0.9916, decode.d8.loss_mask: 0.8389, decode.d8.loss_dice: 1.2811, loss: 34.6151 2022-04-29 03:42:26,070 - mmseg - INFO - Iter [14500/80000] lr: 1.176e-06, eta: 1 day, 9:18:05, time: 1.757, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0290, decode.loss_mask: 0.8573, decode.loss_dice: 1.3394, decode.d0.loss_cls: 3.7916, decode.d0.loss_mask: 0.8287, decode.d0.loss_dice: 1.5522, decode.d1.loss_cls: 1.1219, decode.d1.loss_mask: 0.8700, decode.d1.loss_dice: 1.4122, decode.d2.loss_cls: 1.0574, decode.d2.loss_mask: 0.8571, decode.d2.loss_dice: 1.3613, decode.d3.loss_cls: 1.0487, decode.d3.loss_mask: 0.8542, decode.d3.loss_dice: 1.3408, decode.d4.loss_cls: 1.0401, decode.d4.loss_mask: 0.8552, decode.d4.loss_dice: 1.3336, decode.d5.loss_cls: 1.0289, decode.d5.loss_mask: 0.8545, decode.d5.loss_dice: 1.3441, decode.d6.loss_cls: 1.0238, decode.d6.loss_mask: 0.8564, decode.d6.loss_dice: 1.3411, decode.d7.loss_cls: 1.0250, decode.d7.loss_mask: 0.8546, decode.d7.loss_dice: 1.3374, decode.d8.loss_cls: 1.0201, decode.d8.loss_mask: 0.8554, decode.d8.loss_dice: 1.3365, loss: 35.4286 2022-04-29 03:43:54,430 - mmseg - INFO - Iter [14550/80000] lr: 1.175e-06, eta: 1 day, 9:16:19, time: 1.767, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0047, decode.loss_mask: 0.8560, decode.loss_dice: 1.2810, decode.d0.loss_cls: 3.7907, decode.d0.loss_mask: 0.8203, decode.d0.loss_dice: 1.4810, decode.d1.loss_cls: 1.1017, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.3666, decode.d2.loss_cls: 1.0323, decode.d2.loss_mask: 0.8489, decode.d2.loss_dice: 1.3087, decode.d3.loss_cls: 1.0172, decode.d3.loss_mask: 0.8517, decode.d3.loss_dice: 1.2915, decode.d4.loss_cls: 1.0152, decode.d4.loss_mask: 0.8500, decode.d4.loss_dice: 1.2847, decode.d5.loss_cls: 1.0139, decode.d5.loss_mask: 0.8466, decode.d5.loss_dice: 1.2858, decode.d6.loss_cls: 1.0088, decode.d6.loss_mask: 0.8450, decode.d6.loss_dice: 1.2766, decode.d7.loss_cls: 1.0079, decode.d7.loss_mask: 0.8493, decode.d7.loss_dice: 1.2823, decode.d8.loss_cls: 1.0010, decode.d8.loss_mask: 0.8526, decode.d8.loss_dice: 1.2807, loss: 34.6222 2022-04-29 03:45:22,741 - mmseg - INFO - Iter [14600/80000] lr: 1.174e-06, eta: 1 day, 9:14:33, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0098, decode.loss_mask: 0.8446, decode.loss_dice: 1.3336, decode.d0.loss_cls: 3.7665, decode.d0.loss_mask: 0.8237, decode.d0.loss_dice: 1.5470, decode.d1.loss_cls: 1.1052, decode.d1.loss_mask: 0.8635, decode.d1.loss_dice: 1.4102, decode.d2.loss_cls: 1.0355, decode.d2.loss_mask: 0.8500, decode.d2.loss_dice: 1.3537, decode.d3.loss_cls: 1.0197, decode.d3.loss_mask: 0.8432, decode.d3.loss_dice: 1.3373, decode.d4.loss_cls: 1.0061, decode.d4.loss_mask: 0.8485, decode.d4.loss_dice: 1.3400, decode.d5.loss_cls: 1.0119, decode.d5.loss_mask: 0.8458, decode.d5.loss_dice: 1.3293, decode.d6.loss_cls: 1.0148, decode.d6.loss_mask: 0.8426, decode.d6.loss_dice: 1.3269, decode.d7.loss_cls: 1.0113, decode.d7.loss_mask: 0.8444, decode.d7.loss_dice: 1.3351, decode.d8.loss_cls: 0.9981, decode.d8.loss_mask: 0.8473, decode.d8.loss_dice: 1.3337, loss: 35.0792 2022-04-29 03:46:50,844 - mmseg - INFO - Iter [14650/80000] lr: 1.173e-06, eta: 1 day, 9:12:47, time: 1.762, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0321, decode.loss_mask: 0.8653, decode.loss_dice: 1.3170, decode.d0.loss_cls: 3.7531, decode.d0.loss_mask: 0.8362, decode.d0.loss_dice: 1.5420, decode.d1.loss_cls: 1.1373, decode.d1.loss_mask: 0.8827, decode.d1.loss_dice: 1.4100, decode.d2.loss_cls: 1.0584, decode.d2.loss_mask: 0.8784, decode.d2.loss_dice: 1.3568, decode.d3.loss_cls: 1.0430, decode.d3.loss_mask: 0.8776, decode.d3.loss_dice: 1.3314, decode.d4.loss_cls: 1.0407, decode.d4.loss_mask: 0.8714, decode.d4.loss_dice: 1.3363, decode.d5.loss_cls: 1.0386, decode.d5.loss_mask: 0.8706, decode.d5.loss_dice: 1.3232, decode.d6.loss_cls: 1.0338, decode.d6.loss_mask: 0.8637, decode.d6.loss_dice: 1.3200, decode.d7.loss_cls: 1.0279, decode.d7.loss_mask: 0.8659, decode.d7.loss_dice: 1.3232, decode.d8.loss_cls: 1.0225, decode.d8.loss_mask: 0.8671, decode.d8.loss_dice: 1.3227, loss: 35.4489 2022-04-29 03:48:20,666 - mmseg - INFO - Iter [14700/80000] lr: 1.172e-06, eta: 1 day, 9:11:08, time: 1.797, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0279, decode.loss_mask: 0.8395, decode.loss_dice: 1.3235, decode.d0.loss_cls: 3.7545, decode.d0.loss_mask: 0.8180, decode.d0.loss_dice: 1.5457, decode.d1.loss_cls: 1.1395, decode.d1.loss_mask: 0.8688, decode.d1.loss_dice: 1.4066, decode.d2.loss_cls: 1.0620, decode.d2.loss_mask: 0.8556, decode.d2.loss_dice: 1.3626, decode.d3.loss_cls: 1.0368, decode.d3.loss_mask: 0.8436, decode.d3.loss_dice: 1.3297, decode.d4.loss_cls: 1.0302, decode.d4.loss_mask: 0.8455, decode.d4.loss_dice: 1.3360, decode.d5.loss_cls: 1.0205, decode.d5.loss_mask: 0.8441, decode.d5.loss_dice: 1.3375, decode.d6.loss_cls: 1.0219, decode.d6.loss_mask: 0.8432, decode.d6.loss_dice: 1.3173, decode.d7.loss_cls: 1.0265, decode.d7.loss_mask: 0.8441, decode.d7.loss_dice: 1.3248, decode.d8.loss_cls: 1.0270, decode.d8.loss_mask: 0.8419, decode.d8.loss_dice: 1.3186, loss: 35.1931 2022-04-29 03:49:50,533 - mmseg - INFO - Iter [14750/80000] lr: 1.171e-06, eta: 1 day, 9:09:29, time: 1.797, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0610, decode.loss_mask: 0.8316, decode.loss_dice: 1.3631, decode.d0.loss_cls: 3.8051, decode.d0.loss_mask: 0.8073, decode.d0.loss_dice: 1.5964, decode.d1.loss_cls: 1.1590, decode.d1.loss_mask: 0.8634, decode.d1.loss_dice: 1.4529, decode.d2.loss_cls: 1.0906, decode.d2.loss_mask: 0.8398, decode.d2.loss_dice: 1.4082, decode.d3.loss_cls: 1.0692, decode.d3.loss_mask: 0.8361, decode.d3.loss_dice: 1.3727, decode.d4.loss_cls: 1.0619, decode.d4.loss_mask: 0.8384, decode.d4.loss_dice: 1.3753, decode.d5.loss_cls: 1.0630, decode.d5.loss_mask: 0.8366, decode.d5.loss_dice: 1.3676, decode.d6.loss_cls: 1.0654, decode.d6.loss_mask: 0.8355, decode.d6.loss_dice: 1.3524, decode.d7.loss_cls: 1.0569, decode.d7.loss_mask: 0.8340, decode.d7.loss_dice: 1.3585, decode.d8.loss_cls: 1.0522, decode.d8.loss_mask: 0.8360, decode.d8.loss_dice: 1.3588, loss: 35.8488 2022-04-29 03:51:24,418 - mmseg - INFO - Iter [14800/80000] lr: 1.170e-06, eta: 1 day, 9:08:09, time: 1.878, data_time: 0.063, memory: 64979, decode.loss_cls: 1.0493, decode.loss_mask: 0.8267, decode.loss_dice: 1.3463, decode.d0.loss_cls: 3.7797, decode.d0.loss_mask: 0.8065, decode.d0.loss_dice: 1.5716, decode.d1.loss_cls: 1.1531, decode.d1.loss_mask: 0.8500, decode.d1.loss_dice: 1.4279, decode.d2.loss_cls: 1.0769, decode.d2.loss_mask: 0.8334, decode.d2.loss_dice: 1.3834, decode.d3.loss_cls: 1.0603, decode.d3.loss_mask: 0.8283, decode.d3.loss_dice: 1.3552, decode.d4.loss_cls: 1.0466, decode.d4.loss_mask: 0.8323, decode.d4.loss_dice: 1.3565, decode.d5.loss_cls: 1.0372, decode.d5.loss_mask: 0.8381, decode.d5.loss_dice: 1.3595, decode.d6.loss_cls: 1.0411, decode.d6.loss_mask: 0.8335, decode.d6.loss_dice: 1.3490, decode.d7.loss_cls: 1.0417, decode.d7.loss_mask: 0.8355, decode.d7.loss_dice: 1.3458, decode.d8.loss_cls: 1.0428, decode.d8.loss_mask: 0.8278, decode.d8.loss_dice: 1.3521, loss: 35.4882 2022-04-29 03:52:54,280 - mmseg - INFO - Iter [14850/80000] lr: 1.169e-06, eta: 1 day, 9:06:30, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9969, decode.loss_mask: 0.8517, decode.loss_dice: 1.3035, decode.d0.loss_cls: 3.6697, decode.d0.loss_mask: 0.8248, decode.d0.loss_dice: 1.5188, decode.d1.loss_cls: 1.0966, decode.d1.loss_mask: 0.8697, decode.d1.loss_dice: 1.3895, decode.d2.loss_cls: 1.0303, decode.d2.loss_mask: 0.8488, decode.d2.loss_dice: 1.3479, decode.d3.loss_cls: 1.0069, decode.d3.loss_mask: 0.8507, decode.d3.loss_dice: 1.3187, decode.d4.loss_cls: 0.9995, decode.d4.loss_mask: 0.8480, decode.d4.loss_dice: 1.3150, decode.d5.loss_cls: 0.9954, decode.d5.loss_mask: 0.8466, decode.d5.loss_dice: 1.3156, decode.d6.loss_cls: 0.9976, decode.d6.loss_mask: 0.8425, decode.d6.loss_dice: 1.2960, decode.d7.loss_cls: 0.9899, decode.d7.loss_mask: 0.8458, decode.d7.loss_dice: 1.3048, decode.d8.loss_cls: 0.9929, decode.d8.loss_mask: 0.8471, decode.d8.loss_dice: 1.3001, loss: 34.6612 2022-04-29 03:54:23,116 - mmseg - INFO - Iter [14900/80000] lr: 1.168e-06, eta: 1 day, 9:04:47, time: 1.777, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9945, decode.loss_mask: 0.8355, decode.loss_dice: 1.3111, decode.d0.loss_cls: 3.6602, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.5346, decode.d1.loss_cls: 1.1138, decode.d1.loss_mask: 0.8593, decode.d1.loss_dice: 1.4169, decode.d2.loss_cls: 1.0380, decode.d2.loss_mask: 0.8351, decode.d2.loss_dice: 1.3514, decode.d3.loss_cls: 1.0067, decode.d3.loss_mask: 0.8331, decode.d3.loss_dice: 1.3279, decode.d4.loss_cls: 1.0083, decode.d4.loss_mask: 0.8307, decode.d4.loss_dice: 1.3266, decode.d5.loss_cls: 1.0068, decode.d5.loss_mask: 0.8295, decode.d5.loss_dice: 1.3131, decode.d6.loss_cls: 1.0030, decode.d6.loss_mask: 0.8311, decode.d6.loss_dice: 1.3068, decode.d7.loss_cls: 0.9989, decode.d7.loss_mask: 0.8301, decode.d7.loss_dice: 1.3046, decode.d8.loss_cls: 0.9913, decode.d8.loss_mask: 0.8324, decode.d8.loss_dice: 1.3072, loss: 34.6525 2022-04-29 03:55:52,011 - mmseg - INFO - Iter [14950/80000] lr: 1.167e-06, eta: 1 day, 9:03:04, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0182, decode.loss_mask: 0.8250, decode.loss_dice: 1.3188, decode.d0.loss_cls: 3.6873, decode.d0.loss_mask: 0.8114, decode.d0.loss_dice: 1.5450, decode.d1.loss_cls: 1.1220, decode.d1.loss_mask: 0.8537, decode.d1.loss_dice: 1.4157, decode.d2.loss_cls: 1.0486, decode.d2.loss_mask: 0.8353, decode.d2.loss_dice: 1.3666, decode.d3.loss_cls: 1.0333, decode.d3.loss_mask: 0.8298, decode.d3.loss_dice: 1.3389, decode.d4.loss_cls: 1.0237, decode.d4.loss_mask: 0.8316, decode.d4.loss_dice: 1.3368, decode.d5.loss_cls: 1.0259, decode.d5.loss_mask: 0.8185, decode.d5.loss_dice: 1.3290, decode.d6.loss_cls: 1.0164, decode.d6.loss_mask: 0.8223, decode.d6.loss_dice: 1.3187, decode.d7.loss_cls: 1.0110, decode.d7.loss_mask: 0.8245, decode.d7.loss_dice: 1.3223, decode.d8.loss_cls: 1.0073, decode.d8.loss_mask: 0.8239, decode.d8.loss_dice: 1.3270, loss: 34.8883 2022-04-29 03:57:21,097 - mmseg - INFO - Saving checkpoint at 15000 iterations 2022-04-29 03:57:39,054 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 03:57:39,058 - mmseg - INFO - Iter [15000/80000] lr: 1.167e-06, eta: 1 day, 9:02:40, time: 2.139, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9692, decode.loss_mask: 0.8575, decode.loss_dice: 1.2931, decode.d0.loss_cls: 3.6095, decode.d0.loss_mask: 0.8241, decode.d0.loss_dice: 1.5093, decode.d1.loss_cls: 1.0673, decode.d1.loss_mask: 0.8768, decode.d1.loss_dice: 1.3770, decode.d2.loss_cls: 0.9915, decode.d2.loss_mask: 0.8634, decode.d2.loss_dice: 1.3376, decode.d3.loss_cls: 0.9784, decode.d3.loss_mask: 0.8616, decode.d3.loss_dice: 1.3145, decode.d4.loss_cls: 0.9731, decode.d4.loss_mask: 0.8670, decode.d4.loss_dice: 1.3172, decode.d5.loss_cls: 0.9688, decode.d5.loss_mask: 0.8623, decode.d5.loss_dice: 1.3055, decode.d6.loss_cls: 0.9667, decode.d6.loss_mask: 0.8641, decode.d6.loss_dice: 1.2952, decode.d7.loss_cls: 0.9635, decode.d7.loss_mask: 0.8578, decode.d7.loss_dice: 1.3022, decode.d8.loss_cls: 0.9643, decode.d8.loss_mask: 0.8578, decode.d8.loss_dice: 1.3014, loss: 34.3979 2022-04-29 03:59:09,686 - mmseg - INFO - Iter [15050/80000] lr: 1.166e-06, eta: 1 day, 9:01:05, time: 1.814, data_time: 0.025, memory: 64979, decode.loss_cls: 1.0270, decode.loss_mask: 0.8468, decode.loss_dice: 1.3210, decode.d0.loss_cls: 3.6772, decode.d0.loss_mask: 0.8182, decode.d0.loss_dice: 1.5611, decode.d1.loss_cls: 1.1343, decode.d1.loss_mask: 0.8627, decode.d1.loss_dice: 1.4047, decode.d2.loss_cls: 1.0615, decode.d2.loss_mask: 0.8464, decode.d2.loss_dice: 1.3577, decode.d3.loss_cls: 1.0425, decode.d3.loss_mask: 0.8430, decode.d3.loss_dice: 1.3402, decode.d4.loss_cls: 1.0389, decode.d4.loss_mask: 0.8442, decode.d4.loss_dice: 1.3344, decode.d5.loss_cls: 1.0324, decode.d5.loss_mask: 0.8411, decode.d5.loss_dice: 1.3267, decode.d6.loss_cls: 1.0253, decode.d6.loss_mask: 0.8418, decode.d6.loss_dice: 1.3202, decode.d7.loss_cls: 1.0249, decode.d7.loss_mask: 0.8446, decode.d7.loss_dice: 1.3253, decode.d8.loss_cls: 1.0231, decode.d8.loss_mask: 0.8452, decode.d8.loss_dice: 1.3236, loss: 35.1364 2022-04-29 04:00:38,653 - mmseg - INFO - Iter [15100/80000] lr: 1.165e-06, eta: 1 day, 8:59:23, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0040, decode.loss_mask: 0.8220, decode.loss_dice: 1.3248, decode.d0.loss_cls: 3.6547, decode.d0.loss_mask: 0.8029, decode.d0.loss_dice: 1.5449, decode.d1.loss_cls: 1.1033, decode.d1.loss_mask: 0.8400, decode.d1.loss_dice: 1.4129, decode.d2.loss_cls: 1.0279, decode.d2.loss_mask: 0.8293, decode.d2.loss_dice: 1.3586, decode.d3.loss_cls: 1.0209, decode.d3.loss_mask: 0.8241, decode.d3.loss_dice: 1.3359, decode.d4.loss_cls: 1.0142, decode.d4.loss_mask: 0.8273, decode.d4.loss_dice: 1.3438, decode.d5.loss_cls: 1.0009, decode.d5.loss_mask: 0.8266, decode.d5.loss_dice: 1.3343, decode.d6.loss_cls: 0.9980, decode.d6.loss_mask: 0.8246, decode.d6.loss_dice: 1.3268, decode.d7.loss_cls: 0.9999, decode.d7.loss_mask: 0.8233, decode.d7.loss_dice: 1.3297, decode.d8.loss_cls: 0.9986, decode.d8.loss_mask: 0.8227, decode.d8.loss_dice: 1.3295, loss: 34.7064 2022-04-29 04:02:09,130 - mmseg - INFO - Iter [15150/80000] lr: 1.164e-06, eta: 1 day, 8:57:46, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0393, decode.loss_mask: 0.8509, decode.loss_dice: 1.3448, decode.d0.loss_cls: 3.6543, decode.d0.loss_mask: 0.8327, decode.d0.loss_dice: 1.5785, decode.d1.loss_cls: 1.1407, decode.d1.loss_mask: 0.8635, decode.d1.loss_dice: 1.4409, decode.d2.loss_cls: 1.0650, decode.d2.loss_mask: 0.8563, decode.d2.loss_dice: 1.3878, decode.d3.loss_cls: 1.0426, decode.d3.loss_mask: 0.8528, decode.d3.loss_dice: 1.3683, decode.d4.loss_cls: 1.0343, decode.d4.loss_mask: 0.8551, decode.d4.loss_dice: 1.3664, decode.d5.loss_cls: 1.0384, decode.d5.loss_mask: 0.8481, decode.d5.loss_dice: 1.3591, decode.d6.loss_cls: 1.0324, decode.d6.loss_mask: 0.8454, decode.d6.loss_dice: 1.3420, decode.d7.loss_cls: 1.0319, decode.d7.loss_mask: 0.8469, decode.d7.loss_dice: 1.3478, decode.d8.loss_cls: 1.0310, decode.d8.loss_mask: 0.8519, decode.d8.loss_dice: 1.3468, loss: 35.4957 2022-04-29 04:03:38,284 - mmseg - INFO - Iter [15200/80000] lr: 1.163e-06, eta: 1 day, 8:56:05, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9644, decode.loss_mask: 0.8340, decode.loss_dice: 1.2918, decode.d0.loss_cls: 3.5811, decode.d0.loss_mask: 0.8134, decode.d0.loss_dice: 1.5217, decode.d1.loss_cls: 1.0715, decode.d1.loss_mask: 0.8521, decode.d1.loss_dice: 1.3780, decode.d2.loss_cls: 0.9948, decode.d2.loss_mask: 0.8440, decode.d2.loss_dice: 1.3286, decode.d3.loss_cls: 0.9747, decode.d3.loss_mask: 0.8347, decode.d3.loss_dice: 1.3080, decode.d4.loss_cls: 0.9678, decode.d4.loss_mask: 0.8359, decode.d4.loss_dice: 1.3163, decode.d5.loss_cls: 0.9627, decode.d5.loss_mask: 0.8265, decode.d5.loss_dice: 1.3006, decode.d6.loss_cls: 0.9581, decode.d6.loss_mask: 0.8346, decode.d6.loss_dice: 1.2931, decode.d7.loss_cls: 0.9621, decode.d7.loss_mask: 0.8313, decode.d7.loss_dice: 1.2915, decode.d8.loss_cls: 0.9608, decode.d8.loss_mask: 0.8329, decode.d8.loss_dice: 1.2992, loss: 34.0661 2022-04-29 04:05:07,343 - mmseg - INFO - Iter [15250/80000] lr: 1.162e-06, eta: 1 day, 8:54:24, time: 1.781, data_time: 0.013, memory: 64979, decode.loss_cls: 1.0303, decode.loss_mask: 0.8334, decode.loss_dice: 1.2872, decode.d0.loss_cls: 3.5805, decode.d0.loss_mask: 0.8128, decode.d0.loss_dice: 1.5090, decode.d1.loss_cls: 1.1189, decode.d1.loss_mask: 0.8610, decode.d1.loss_dice: 1.3789, decode.d2.loss_cls: 1.0538, decode.d2.loss_mask: 0.8445, decode.d2.loss_dice: 1.3184, decode.d3.loss_cls: 1.0335, decode.d3.loss_mask: 0.8466, decode.d3.loss_dice: 1.3001, decode.d4.loss_cls: 1.0349, decode.d4.loss_mask: 0.8379, decode.d4.loss_dice: 1.3034, decode.d5.loss_cls: 1.0240, decode.d5.loss_mask: 0.8384, decode.d5.loss_dice: 1.2829, decode.d6.loss_cls: 1.0273, decode.d6.loss_mask: 0.8255, decode.d6.loss_dice: 1.2797, decode.d7.loss_cls: 1.0231, decode.d7.loss_mask: 0.8357, decode.d7.loss_dice: 1.2891, decode.d8.loss_cls: 1.0257, decode.d8.loss_mask: 0.8315, decode.d8.loss_dice: 1.2882, loss: 34.5563 2022-04-29 04:06:36,663 - mmseg - INFO - Iter [15300/80000] lr: 1.161e-06, eta: 1 day, 8:52:43, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 1.0072, decode.loss_mask: 0.8234, decode.loss_dice: 1.3174, decode.d0.loss_cls: 3.6066, decode.d0.loss_mask: 0.8100, decode.d0.loss_dice: 1.5447, decode.d1.loss_cls: 1.1135, decode.d1.loss_mask: 0.8463, decode.d1.loss_dice: 1.3872, decode.d2.loss_cls: 1.0334, decode.d2.loss_mask: 0.8342, decode.d2.loss_dice: 1.3471, decode.d3.loss_cls: 1.0225, decode.d3.loss_mask: 0.8287, decode.d3.loss_dice: 1.3253, decode.d4.loss_cls: 1.0137, decode.d4.loss_mask: 0.8293, decode.d4.loss_dice: 1.3201, decode.d5.loss_cls: 1.0119, decode.d5.loss_mask: 0.8291, decode.d5.loss_dice: 1.3111, decode.d6.loss_cls: 1.0057, decode.d6.loss_mask: 0.8257, decode.d6.loss_dice: 1.3088, decode.d7.loss_cls: 1.0066, decode.d7.loss_mask: 0.8247, decode.d7.loss_dice: 1.3047, decode.d8.loss_cls: 1.0106, decode.d8.loss_mask: 0.8255, decode.d8.loss_dice: 1.3135, loss: 34.5883 2022-04-29 04:08:05,575 - mmseg - INFO - Iter [15350/80000] lr: 1.160e-06, eta: 1 day, 8:51:01, time: 1.778, data_time: 0.013, memory: 64979, decode.loss_cls: 1.0063, decode.loss_mask: 0.8623, decode.loss_dice: 1.3141, decode.d0.loss_cls: 3.5545, decode.d0.loss_mask: 0.8356, decode.d0.loss_dice: 1.5252, decode.d1.loss_cls: 1.1137, decode.d1.loss_mask: 0.8811, decode.d1.loss_dice: 1.3975, decode.d2.loss_cls: 1.0345, decode.d2.loss_mask: 0.8706, decode.d2.loss_dice: 1.3558, decode.d3.loss_cls: 1.0110, decode.d3.loss_mask: 0.8586, decode.d3.loss_dice: 1.3281, decode.d4.loss_cls: 1.0070, decode.d4.loss_mask: 0.8639, decode.d4.loss_dice: 1.3285, decode.d5.loss_cls: 1.0021, decode.d5.loss_mask: 0.8571, decode.d5.loss_dice: 1.3328, decode.d6.loss_cls: 1.0065, decode.d6.loss_mask: 0.8564, decode.d6.loss_dice: 1.3187, decode.d7.loss_cls: 1.0016, decode.d7.loss_mask: 0.8599, decode.d7.loss_dice: 1.3150, decode.d8.loss_cls: 0.9996, decode.d8.loss_mask: 0.8638, decode.d8.loss_dice: 1.3194, loss: 34.8812 2022-04-29 04:09:36,105 - mmseg - INFO - Iter [15400/80000] lr: 1.159e-06, eta: 1 day, 8:49:25, time: 1.811, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0261, decode.loss_mask: 0.8394, decode.loss_dice: 1.3457, decode.d0.loss_cls: 3.5410, decode.d0.loss_mask: 0.8277, decode.d0.loss_dice: 1.5757, decode.d1.loss_cls: 1.1286, decode.d1.loss_mask: 0.8722, decode.d1.loss_dice: 1.4439, decode.d2.loss_cls: 1.0607, decode.d2.loss_mask: 0.8499, decode.d2.loss_dice: 1.3842, decode.d3.loss_cls: 1.0399, decode.d3.loss_mask: 0.8520, decode.d3.loss_dice: 1.3631, decode.d4.loss_cls: 1.0419, decode.d4.loss_mask: 0.8537, decode.d4.loss_dice: 1.3599, decode.d5.loss_cls: 1.0357, decode.d5.loss_mask: 0.8477, decode.d5.loss_dice: 1.3564, decode.d6.loss_cls: 1.0314, decode.d6.loss_mask: 0.8452, decode.d6.loss_dice: 1.3376, decode.d7.loss_cls: 1.0332, decode.d7.loss_mask: 0.8412, decode.d7.loss_dice: 1.3472, decode.d8.loss_cls: 1.0298, decode.d8.loss_mask: 0.8426, decode.d8.loss_dice: 1.3515, loss: 35.3049 2022-04-29 04:11:05,306 - mmseg - INFO - Iter [15450/80000] lr: 1.159e-06, eta: 1 day, 8:47:44, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0302, decode.loss_mask: 0.8511, decode.loss_dice: 1.3113, decode.d0.loss_cls: 3.5592, decode.d0.loss_mask: 0.8186, decode.d0.loss_dice: 1.5392, decode.d1.loss_cls: 1.1244, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.3960, decode.d2.loss_cls: 1.0620, decode.d2.loss_mask: 0.8549, decode.d2.loss_dice: 1.3453, decode.d3.loss_cls: 1.0390, decode.d3.loss_mask: 0.8579, decode.d3.loss_dice: 1.3312, decode.d4.loss_cls: 1.0370, decode.d4.loss_mask: 0.8585, decode.d4.loss_dice: 1.3269, decode.d5.loss_cls: 1.0307, decode.d5.loss_mask: 0.8532, decode.d5.loss_dice: 1.3122, decode.d6.loss_cls: 1.0271, decode.d6.loss_mask: 0.8492, decode.d6.loss_dice: 1.3083, decode.d7.loss_cls: 1.0277, decode.d7.loss_mask: 0.8561, decode.d7.loss_dice: 1.3103, decode.d8.loss_cls: 1.0250, decode.d8.loss_mask: 0.8504, decode.d8.loss_dice: 1.3173, loss: 34.9796 2022-04-29 04:12:34,100 - mmseg - INFO - Iter [15500/80000] lr: 1.158e-06, eta: 1 day, 8:46:02, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9968, decode.loss_mask: 0.8587, decode.loss_dice: 1.3190, decode.d0.loss_cls: 3.5384, decode.d0.loss_mask: 0.8286, decode.d0.loss_dice: 1.5406, decode.d1.loss_cls: 1.1005, decode.d1.loss_mask: 0.8699, decode.d1.loss_dice: 1.4147, decode.d2.loss_cls: 1.0268, decode.d2.loss_mask: 0.8614, decode.d2.loss_dice: 1.3589, decode.d3.loss_cls: 1.0057, decode.d3.loss_mask: 0.8541, decode.d3.loss_dice: 1.3406, decode.d4.loss_cls: 1.0068, decode.d4.loss_mask: 0.8569, decode.d4.loss_dice: 1.3336, decode.d5.loss_cls: 0.9993, decode.d5.loss_mask: 0.8490, decode.d5.loss_dice: 1.3276, decode.d6.loss_cls: 0.9969, decode.d6.loss_mask: 0.8494, decode.d6.loss_dice: 1.3161, decode.d7.loss_cls: 0.9937, decode.d7.loss_mask: 0.8529, decode.d7.loss_dice: 1.3223, decode.d8.loss_cls: 0.9941, decode.d8.loss_mask: 0.8529, decode.d8.loss_dice: 1.3221, loss: 34.7884 2022-04-29 04:14:02,537 - mmseg - INFO - Iter [15550/80000] lr: 1.157e-06, eta: 1 day, 8:44:18, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0383, decode.loss_mask: 0.8374, decode.loss_dice: 1.3380, decode.d0.loss_cls: 3.5553, decode.d0.loss_mask: 0.8235, decode.d0.loss_dice: 1.5714, decode.d1.loss_cls: 1.1307, decode.d1.loss_mask: 0.8535, decode.d1.loss_dice: 1.4238, decode.d2.loss_cls: 1.0677, decode.d2.loss_mask: 0.8439, decode.d2.loss_dice: 1.3731, decode.d3.loss_cls: 1.0387, decode.d3.loss_mask: 0.8461, decode.d3.loss_dice: 1.3451, decode.d4.loss_cls: 1.0403, decode.d4.loss_mask: 0.8400, decode.d4.loss_dice: 1.3574, decode.d5.loss_cls: 1.0268, decode.d5.loss_mask: 0.8397, decode.d5.loss_dice: 1.3451, decode.d6.loss_cls: 1.0295, decode.d6.loss_mask: 0.8375, decode.d6.loss_dice: 1.3345, decode.d7.loss_cls: 1.0286, decode.d7.loss_mask: 0.8373, decode.d7.loss_dice: 1.3397, decode.d8.loss_cls: 1.0295, decode.d8.loss_mask: 0.8428, decode.d8.loss_dice: 1.3364, loss: 35.1515 2022-04-29 04:15:31,958 - mmseg - INFO - Iter [15600/80000] lr: 1.156e-06, eta: 1 day, 8:42:38, time: 1.788, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0052, decode.loss_mask: 0.8599, decode.loss_dice: 1.3037, decode.d0.loss_cls: 3.5149, decode.d0.loss_mask: 0.8361, decode.d0.loss_dice: 1.5317, decode.d1.loss_cls: 1.1013, decode.d1.loss_mask: 0.8842, decode.d1.loss_dice: 1.3909, decode.d2.loss_cls: 1.0379, decode.d2.loss_mask: 0.8689, decode.d2.loss_dice: 1.3455, decode.d3.loss_cls: 1.0206, decode.d3.loss_mask: 0.8601, decode.d3.loss_dice: 1.3127, decode.d4.loss_cls: 1.0193, decode.d4.loss_mask: 0.8615, decode.d4.loss_dice: 1.3135, decode.d5.loss_cls: 1.0084, decode.d5.loss_mask: 0.8555, decode.d5.loss_dice: 1.3192, decode.d6.loss_cls: 1.0012, decode.d6.loss_mask: 0.8613, decode.d6.loss_dice: 1.2998, decode.d7.loss_cls: 1.0024, decode.d7.loss_mask: 0.8552, decode.d7.loss_dice: 1.3075, decode.d8.loss_cls: 1.0035, decode.d8.loss_mask: 0.8511, decode.d8.loss_dice: 1.3082, loss: 34.7412 2022-04-29 04:17:00,349 - mmseg - INFO - Iter [15650/80000] lr: 1.155e-06, eta: 1 day, 8:40:54, time: 1.768, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9583, decode.loss_mask: 0.8510, decode.loss_dice: 1.2670, decode.d0.loss_cls: 3.3953, decode.d0.loss_mask: 0.8249, decode.d0.loss_dice: 1.4778, decode.d1.loss_cls: 1.0573, decode.d1.loss_mask: 0.8669, decode.d1.loss_dice: 1.3449, decode.d2.loss_cls: 0.9885, decode.d2.loss_mask: 0.8582, decode.d2.loss_dice: 1.2916, decode.d3.loss_cls: 0.9679, decode.d3.loss_mask: 0.8510, decode.d3.loss_dice: 1.2771, decode.d4.loss_cls: 0.9589, decode.d4.loss_mask: 0.8472, decode.d4.loss_dice: 1.2845, decode.d5.loss_cls: 0.9477, decode.d5.loss_mask: 0.8515, decode.d5.loss_dice: 1.2811, decode.d6.loss_cls: 0.9494, decode.d6.loss_mask: 0.8450, decode.d6.loss_dice: 1.2650, decode.d7.loss_cls: 0.9565, decode.d7.loss_mask: 0.8476, decode.d7.loss_dice: 1.2698, decode.d8.loss_cls: 0.9515, decode.d8.loss_mask: 0.8506, decode.d8.loss_dice: 1.2742, loss: 33.6584 2022-04-29 04:18:29,507 - mmseg - INFO - Iter [15700/80000] lr: 1.154e-06, eta: 1 day, 8:39:14, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9684, decode.loss_mask: 0.8283, decode.loss_dice: 1.3286, decode.d0.loss_cls: 3.4427, decode.d0.loss_mask: 0.8010, decode.d0.loss_dice: 1.5339, decode.d1.loss_cls: 1.0643, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.4105, decode.d2.loss_cls: 0.9933, decode.d2.loss_mask: 0.8362, decode.d2.loss_dice: 1.3516, decode.d3.loss_cls: 0.9837, decode.d3.loss_mask: 0.8274, decode.d3.loss_dice: 1.3325, decode.d4.loss_cls: 0.9781, decode.d4.loss_mask: 0.8303, decode.d4.loss_dice: 1.3309, decode.d5.loss_cls: 0.9689, decode.d5.loss_mask: 0.8302, decode.d5.loss_dice: 1.3383, decode.d6.loss_cls: 0.9702, decode.d6.loss_mask: 0.8270, decode.d6.loss_dice: 1.3235, decode.d7.loss_cls: 0.9685, decode.d7.loss_mask: 0.8309, decode.d7.loss_dice: 1.3289, decode.d8.loss_cls: 0.9709, decode.d8.loss_mask: 0.8261, decode.d8.loss_dice: 1.3267, loss: 34.2028 2022-04-29 04:19:58,501 - mmseg - INFO - Iter [15750/80000] lr: 1.153e-06, eta: 1 day, 8:37:32, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9761, decode.loss_mask: 0.8271, decode.loss_dice: 1.3273, decode.d0.loss_cls: 3.4914, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.5326, decode.d1.loss_cls: 1.0717, decode.d1.loss_mask: 0.8475, decode.d1.loss_dice: 1.4178, decode.d2.loss_cls: 0.9993, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.3674, decode.d3.loss_cls: 0.9779, decode.d3.loss_mask: 0.8389, decode.d3.loss_dice: 1.3444, decode.d4.loss_cls: 0.9794, decode.d4.loss_mask: 0.8369, decode.d4.loss_dice: 1.3353, decode.d5.loss_cls: 0.9728, decode.d5.loss_mask: 0.8370, decode.d5.loss_dice: 1.3281, decode.d6.loss_cls: 0.9739, decode.d6.loss_mask: 0.8262, decode.d6.loss_dice: 1.3182, decode.d7.loss_cls: 0.9675, decode.d7.loss_mask: 0.8317, decode.d7.loss_dice: 1.3248, decode.d8.loss_cls: 0.9705, decode.d8.loss_mask: 0.8335, decode.d8.loss_dice: 1.3251, loss: 34.3099 2022-04-29 04:21:28,404 - mmseg - INFO - Iter [15800/80000] lr: 1.152e-06, eta: 1 day, 8:35:55, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0289, decode.loss_mask: 0.8265, decode.loss_dice: 1.3219, decode.d0.loss_cls: 3.4718, decode.d0.loss_mask: 0.8071, decode.d0.loss_dice: 1.5416, decode.d1.loss_cls: 1.1254, decode.d1.loss_mask: 0.8435, decode.d1.loss_dice: 1.4131, decode.d2.loss_cls: 1.0558, decode.d2.loss_mask: 0.8264, decode.d2.loss_dice: 1.3621, decode.d3.loss_cls: 1.0298, decode.d3.loss_mask: 0.8293, decode.d3.loss_dice: 1.3458, decode.d4.loss_cls: 1.0251, decode.d4.loss_mask: 0.8281, decode.d4.loss_dice: 1.3340, decode.d5.loss_cls: 1.0204, decode.d5.loss_mask: 0.8230, decode.d5.loss_dice: 1.3353, decode.d6.loss_cls: 1.0225, decode.d6.loss_mask: 0.8181, decode.d6.loss_dice: 1.3186, decode.d7.loss_cls: 1.0226, decode.d7.loss_mask: 0.8188, decode.d7.loss_dice: 1.3181, decode.d8.loss_cls: 1.0183, decode.d8.loss_mask: 0.8189, decode.d8.loss_dice: 1.3170, loss: 34.6680 2022-04-29 04:22:56,765 - mmseg - INFO - Iter [15850/80000] lr: 1.151e-06, eta: 1 day, 8:34:11, time: 1.767, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9936, decode.loss_mask: 0.8480, decode.loss_dice: 1.2741, decode.d0.loss_cls: 3.4457, decode.d0.loss_mask: 0.8215, decode.d0.loss_dice: 1.4985, decode.d1.loss_cls: 1.0956, decode.d1.loss_mask: 0.8598, decode.d1.loss_dice: 1.3546, decode.d2.loss_cls: 1.0241, decode.d2.loss_mask: 0.8558, decode.d2.loss_dice: 1.3229, decode.d3.loss_cls: 1.0102, decode.d3.loss_mask: 0.8433, decode.d3.loss_dice: 1.2910, decode.d4.loss_cls: 0.9982, decode.d4.loss_mask: 0.8532, decode.d4.loss_dice: 1.2842, decode.d5.loss_cls: 0.9916, decode.d5.loss_mask: 0.8466, decode.d5.loss_dice: 1.2777, decode.d6.loss_cls: 0.9902, decode.d6.loss_mask: 0.8542, decode.d6.loss_dice: 1.2680, decode.d7.loss_cls: 0.9865, decode.d7.loss_mask: 0.8482, decode.d7.loss_dice: 1.2770, decode.d8.loss_cls: 0.9884, decode.d8.loss_mask: 0.8495, decode.d8.loss_dice: 1.2721, loss: 34.1240 2022-04-29 04:24:26,391 - mmseg - INFO - Iter [15900/80000] lr: 1.150e-06, eta: 1 day, 8:32:32, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9820, decode.loss_mask: 0.8312, decode.loss_dice: 1.3052, decode.d0.loss_cls: 3.4325, decode.d0.loss_mask: 0.8020, decode.d0.loss_dice: 1.5234, decode.d1.loss_cls: 1.0884, decode.d1.loss_mask: 0.8518, decode.d1.loss_dice: 1.3807, decode.d2.loss_cls: 1.0160, decode.d2.loss_mask: 0.8390, decode.d2.loss_dice: 1.3341, decode.d3.loss_cls: 0.9940, decode.d3.loss_mask: 0.8323, decode.d3.loss_dice: 1.3145, decode.d4.loss_cls: 0.9971, decode.d4.loss_mask: 0.8267, decode.d4.loss_dice: 1.3187, decode.d5.loss_cls: 0.9861, decode.d5.loss_mask: 0.8256, decode.d5.loss_dice: 1.3109, decode.d6.loss_cls: 0.9760, decode.d6.loss_mask: 0.8276, decode.d6.loss_dice: 1.3055, decode.d7.loss_cls: 0.9830, decode.d7.loss_mask: 0.8280, decode.d7.loss_dice: 1.3128, decode.d8.loss_cls: 0.9812, decode.d8.loss_mask: 0.8269, decode.d8.loss_dice: 1.3063, loss: 34.1396 2022-04-29 04:25:55,644 - mmseg - INFO - Iter [15950/80000] lr: 1.150e-06, eta: 1 day, 8:30:53, time: 1.787, data_time: 0.018, memory: 64979, decode.loss_cls: 1.0003, decode.loss_mask: 0.8241, decode.loss_dice: 1.2969, decode.d0.loss_cls: 3.4479, decode.d0.loss_mask: 0.8017, decode.d0.loss_dice: 1.5199, decode.d1.loss_cls: 1.0844, decode.d1.loss_mask: 0.8451, decode.d1.loss_dice: 1.3837, decode.d2.loss_cls: 1.0254, decode.d2.loss_mask: 0.8298, decode.d2.loss_dice: 1.3357, decode.d3.loss_cls: 1.0149, decode.d3.loss_mask: 0.8225, decode.d3.loss_dice: 1.3190, decode.d4.loss_cls: 1.0072, decode.d4.loss_mask: 0.8258, decode.d4.loss_dice: 1.3091, decode.d5.loss_cls: 1.0041, decode.d5.loss_mask: 0.8227, decode.d5.loss_dice: 1.3054, decode.d6.loss_cls: 0.9978, decode.d6.loss_mask: 0.8189, decode.d6.loss_dice: 1.2925, decode.d7.loss_cls: 1.0068, decode.d7.loss_mask: 0.8143, decode.d7.loss_dice: 1.2888, decode.d8.loss_cls: 1.0026, decode.d8.loss_mask: 0.8190, decode.d8.loss_dice: 1.2928, loss: 34.1591 2022-04-29 04:27:24,261 - mmseg - INFO - Saving checkpoint at 16000 iterations 2022-04-29 04:27:42,971 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 04:27:42,978 - mmseg - INFO - Iter [16000/80000] lr: 1.149e-06, eta: 1 day, 8:30:25, time: 2.145, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0072, decode.loss_mask: 0.8218, decode.loss_dice: 1.3240, decode.d0.loss_cls: 3.4997, decode.d0.loss_mask: 0.8015, decode.d0.loss_dice: 1.5414, decode.d1.loss_cls: 1.1365, decode.d1.loss_mask: 0.8500, decode.d1.loss_dice: 1.4071, decode.d2.loss_cls: 1.0452, decode.d2.loss_mask: 0.8386, decode.d2.loss_dice: 1.3615, decode.d3.loss_cls: 1.0251, decode.d3.loss_mask: 0.8337, decode.d3.loss_dice: 1.3374, decode.d4.loss_cls: 1.0191, decode.d4.loss_mask: 0.8312, decode.d4.loss_dice: 1.3364, decode.d5.loss_cls: 1.0172, decode.d5.loss_mask: 0.8290, decode.d5.loss_dice: 1.3302, decode.d6.loss_cls: 1.0094, decode.d6.loss_mask: 0.8269, decode.d6.loss_dice: 1.3223, decode.d7.loss_cls: 1.0124, decode.d7.loss_mask: 0.8245, decode.d7.loss_dice: 1.3148, decode.d8.loss_cls: 1.0025, decode.d8.loss_mask: 0.8253, decode.d8.loss_dice: 1.3191, loss: 34.6510 2022-04-29 04:32:40,211 - mmseg - INFO - per class results: 2022-04-29 04:32:40,239 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.0 | 93.62 | | bicycle | 73.28 | 83.74 | | car | 63.07 | 79.56 | | motorcycle | 84.21 | 89.99 | | airplane | 87.07 | 93.72 | | bus | 83.51 | 89.05 | | train | 88.18 | 93.32 | | truck | 63.18 | 81.89 | | boat | 67.02 | 84.57 | | traffic light | 70.21 | 83.98 | | fire hydrant | 88.75 | 95.1 | | stop sign | 92.47 | 96.93 | | parking meter | 77.4 | 87.54 | | bench | 52.62 | 80.43 | | bird | 84.62 | 92.18 | | cat | 83.84 | 89.62 | | dog | 80.63 | 88.47 | | horse | 84.45 | 93.47 | | sheep | 88.5 | 96.53 | | cow | 87.41 | 93.58 | | elephant | 92.91 | 96.18 | | bear | 92.25 | 95.43 | | zebra | 90.59 | 93.69 | | giraffe | 87.83 | 93.81 | | backpack | 39.58 | 63.22 | | umbrella | 85.6 | 92.02 | | handbag | 40.05 | 66.2 | | tie | 14.2 | 21.07 | | suitcase | 73.16 | 96.21 | | frisbee | 78.67 | 92.58 | | skis | 53.95 | 72.42 | | snowboard | 65.55 | 82.28 | | sports ball | 63.3 | 80.32 | | kite | 71.82 | 84.07 | | baseball bat | 57.15 | 82.16 | | baseball glove | 75.11 | 92.12 | | skateboard | 82.94 | 90.84 | | surfboard | 82.98 | 91.77 | | tennis racket | 87.79 | 95.0 | | bottle | 47.82 | 58.24 | | wine glass | 52.92 | 70.27 | | cup | 52.4 | 60.82 | | fork | 31.22 | 35.79 | | knife | 30.26 | 41.68 | | spoon | 36.58 | 56.72 | | bowl | 48.75 | 74.17 | | banana | 71.43 | 90.24 | | apple | 54.0 | 77.21 | | sandwich | 43.79 | 55.27 | | orange | 73.7 | 78.93 | | broccoli | 50.73 | 61.73 | | carrot | 63.66 | 82.82 | | hot dog | 49.49 | 57.96 | | pizza | 71.3 | 81.88 | | donut | 69.64 | 76.17 | | cake | 67.11 | 81.42 | | chair | 50.38 | 71.4 | | couch | 58.66 | 83.31 | | potted plant | 27.05 | 39.98 | | bed | 65.55 | 81.79 | | dining table | 43.78 | 78.44 | | toilet | 84.46 | 94.68 | | tv | 75.26 | 86.86 | | laptop | 75.97 | 94.44 | | mouse | 71.38 | 92.7 | | remote | 67.63 | 76.96 | | keyboard | 65.43 | 72.28 | | cell phone | 70.43 | 86.57 | | microwave | 73.5 | 82.61 | | oven | 64.05 | 86.82 | | toaster | 0.0 | 0.0 | | sink | 63.2 | 81.94 | | refrigerator | 80.64 | 92.74 | | book | 48.66 | 61.26 | | clock | 75.3 | 86.39 | | vase | 57.47 | 79.34 | | scissors | 76.8 | 84.13 | | teddy bear | 75.24 | 86.67 | | hair drier | 0.0 | 0.0 | | toothbrush | 52.48 | 82.75 | | banner | 27.68 | 75.38 | | blanket | 3.54 | 4.12 | | branch | 17.66 | 19.57 | | bridge | 37.79 | 50.65 | | building-other | 53.36 | 68.27 | | bush | 34.21 | 47.18 | | cabinet | 59.01 | 75.44 | | cage | 27.17 | 50.7 | | cardboard | 48.49 | 67.28 | | carpet | 50.29 | 72.29 | | ceiling-other | 65.21 | 86.2 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 18.12 | 25.45 | | clouds | 46.83 | 61.41 | | counter | 29.61 | 50.61 | | cupboard | 0.0 | 0.0 | | curtain | 62.93 | 83.51 | | desk-stuff | 43.71 | 56.93 | | dirt | 41.74 | 60.21 | | door-stuff | 44.7 | 71.5 | | fence | 28.73 | 43.69 | | floor-marble | 0.0 | 0.0 | | floor-other | 20.41 | 27.19 | | floor-stone | 0.73 | 0.79 | | floor-tile | 63.06 | 75.01 | | floor-wood | 63.33 | 76.3 | | flower | 42.87 | 62.13 | | fog | 0.34 | 0.34 | | food-other | 32.09 | 42.64 | | fruit | 40.89 | 56.18 | | furniture-other | 16.55 | 21.04 | | grass | 70.24 | 84.96 | | gravel | 38.27 | 48.68 | | ground-other | 4.22 | 4.62 | | hill | 13.14 | 16.32 | | house | 21.09 | 24.38 | | leaves | 25.61 | 31.13 | | light | 39.95 | 55.82 | | mat | 0.0 | 0.0 | | metal | 34.75 | 54.55 | | mirror-stuff | 49.39 | 66.08 | | moss | 0.0 | 0.0 | | mountain | 52.16 | 76.61 | | mud | 0.0 | 0.0 | | napkin | 0.51 | 0.51 | | net | 50.72 | 65.16 | | paper | 34.34 | 48.36 | | pavement | 48.06 | 63.87 | | pillow | 8.45 | 9.11 | | plant-other | 20.69 | 35.81 | | plastic | 20.08 | 26.38 | | platform | 23.9 | 35.74 | | playingfield | 69.07 | 91.28 | | railing | 1.1 | 1.21 | | railroad | 61.94 | 75.47 | | river | 43.68 | 51.46 | | road | 63.92 | 85.23 | | rock | 41.41 | 61.77 | | roof | 22.17 | 31.53 | | rug | 34.5 | 61.27 | | salad | 0.0 | 0.0 | | sand | 60.79 | 67.86 | | sea | 84.41 | 94.82 | | shelf | 38.46 | 53.91 | | sky-other | 69.9 | 86.9 | | skyscraper | 40.64 | 52.45 | | snow | 89.29 | 92.36 | | solid-other | 0.0 | 0.0 | | stairs | 30.07 | 52.68 | | stone | 7.04 | 10.53 | | straw | 17.46 | 20.31 | | structural-other | 0.14 | 0.16 | | table | 19.62 | 25.85 | | tent | 10.18 | 12.34 | | textile-other | 15.18 | 23.54 | | towel | 32.1 | 41.13 | | tree | 73.99 | 88.3 | | vegetable | 36.5 | 45.16 | | wall-brick | 45.31 | 60.77 | | wall-concrete | 60.29 | 77.33 | | wall-other | 19.94 | 35.58 | | wall-panel | 7.21 | 9.32 | | wall-stone | 31.86 | 38.79 | | wall-tile | 68.69 | 84.33 | | wall-wood | 40.89 | 63.01 | | water-other | 28.36 | 45.91 | | waterdrops | 0.0 | 0.0 | | window-blind | 47.5 | 57.91 | | window-other | 47.45 | 73.4 | | wood | 27.36 | 41.0 | +------------------+-------+-------+ 2022-04-29 04:32:40,239 - mmseg - INFO - Summary: 2022-04-29 04:32:40,240 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 71.91 | 48.11 | 60.17 | +-------+-------+-------+ 2022-04-29 04:32:40,254 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_8000.pth was removed 2022-04-29 04:33:09,002 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2022-04-29 04:33:09,020 - mmseg - INFO - Best mIoU is 0.4811 at 16000 iter. 2022-04-29 04:33:09,056 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 04:33:09,057 - mmseg - INFO - Iter(val) [313] aAcc: 0.7191, mIoU: 0.4811, mAcc: 0.6017, IoU.person: 0.8700, IoU.bicycle: 0.7328, IoU.car: 0.6307, IoU.motorcycle: 0.8421, IoU.airplane: 0.8707, IoU.bus: 0.8351, IoU.train: 0.8818, IoU.truck: 0.6318, IoU.boat: 0.6702, IoU.traffic light: 0.7021, IoU.fire hydrant: 0.8875, IoU.stop sign: 0.9247, IoU.parking meter: 0.7740, IoU.bench: 0.5262, IoU.bird: 0.8462, IoU.cat: 0.8384, IoU.dog: 0.8063, IoU.horse: 0.8445, IoU.sheep: 0.8850, IoU.cow: 0.8741, IoU.elephant: 0.9291, IoU.bear: 0.9225, IoU.zebra: 0.9059, IoU.giraffe: 0.8783, IoU.backpack: 0.3958, IoU.umbrella: 0.8560, IoU.handbag: 0.4005, IoU.tie: 0.1420, IoU.suitcase: 0.7316, IoU.frisbee: 0.7867, IoU.skis: 0.5395, IoU.snowboard: 0.6555, IoU.sports ball: 0.6330, IoU.kite: 0.7182, IoU.baseball bat: 0.5715, IoU.baseball glove: 0.7511, IoU.skateboard: 0.8294, IoU.surfboard: 0.8298, IoU.tennis racket: 0.8779, IoU.bottle: 0.4782, IoU.wine glass: 0.5292, IoU.cup: 0.5240, IoU.fork: 0.3122, IoU.knife: 0.3026, IoU.spoon: 0.3658, IoU.bowl: 0.4875, IoU.banana: 0.7143, IoU.apple: 0.5400, IoU.sandwich: 0.4379, IoU.orange: 0.7370, IoU.broccoli: 0.5073, IoU.carrot: 0.6366, IoU.hot dog: 0.4949, IoU.pizza: 0.7130, IoU.donut: 0.6964, IoU.cake: 0.6711, IoU.chair: 0.5038, IoU.couch: 0.5866, IoU.potted plant: 0.2705, IoU.bed: 0.6555, IoU.dining table: 0.4378, IoU.toilet: 0.8446, IoU.tv: 0.7526, IoU.laptop: 0.7597, IoU.mouse: 0.7138, IoU.remote: 0.6763, IoU.keyboard: 0.6543, IoU.cell phone: 0.7043, IoU.microwave: 0.7350, IoU.oven: 0.6405, IoU.toaster: 0.0000, IoU.sink: 0.6320, IoU.refrigerator: 0.8064, IoU.book: 0.4866, IoU.clock: 0.7530, IoU.vase: 0.5747, IoU.scissors: 0.7680, IoU.teddy bear: 0.7524, IoU.hair drier: 0.0000, IoU.toothbrush: 0.5248, IoU.banner: 0.2768, IoU.blanket: 0.0354, IoU.branch: 0.1766, IoU.bridge: 0.3779, IoU.building-other: 0.5336, IoU.bush: 0.3421, IoU.cabinet: 0.5901, IoU.cage: 0.2717, IoU.cardboard: 0.4849, IoU.carpet: 0.5029, IoU.ceiling-other: 0.6521, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.1812, IoU.clouds: 0.4683, IoU.counter: 0.2961, IoU.cupboard: 0.0000, IoU.curtain: 0.6293, IoU.desk-stuff: 0.4371, IoU.dirt: 0.4174, IoU.door-stuff: 0.4470, IoU.fence: 0.2873, IoU.floor-marble: 0.0000, IoU.floor-other: 0.2041, IoU.floor-stone: 0.0073, IoU.floor-tile: 0.6306, IoU.floor-wood: 0.6333, IoU.flower: 0.4287, IoU.fog: 0.0034, IoU.food-other: 0.3209, IoU.fruit: 0.4089, IoU.furniture-other: 0.1655, IoU.grass: 0.7024, IoU.gravel: 0.3827, IoU.ground-other: 0.0422, IoU.hill: 0.1314, IoU.house: 0.2109, IoU.leaves: 0.2561, IoU.light: 0.3995, IoU.mat: 0.0000, IoU.metal: 0.3475, IoU.mirror-stuff: 0.4939, IoU.moss: 0.0000, IoU.mountain: 0.5216, IoU.mud: 0.0000, IoU.napkin: 0.0051, IoU.net: 0.5072, IoU.paper: 0.3434, IoU.pavement: 0.4806, IoU.pillow: 0.0845, IoU.plant-other: 0.2069, IoU.plastic: 0.2008, IoU.platform: 0.2390, IoU.playingfield: 0.6907, IoU.railing: 0.0110, IoU.railroad: 0.6194, IoU.river: 0.4368, IoU.road: 0.6392, IoU.rock: 0.4141, IoU.roof: 0.2217, IoU.rug: 0.3450, IoU.salad: 0.0000, IoU.sand: 0.6079, IoU.sea: 0.8441, IoU.shelf: 0.3846, IoU.sky-other: 0.6990, IoU.skyscraper: 0.4064, IoU.snow: 0.8929, IoU.solid-other: 0.0000, IoU.stairs: 0.3007, IoU.stone: 0.0704, IoU.straw: 0.1746, IoU.structural-other: 0.0014, IoU.table: 0.1962, IoU.tent: 0.1018, IoU.textile-other: 0.1518, IoU.towel: 0.3210, IoU.tree: 0.7399, IoU.vegetable: 0.3650, IoU.wall-brick: 0.4531, IoU.wall-concrete: 0.6029, IoU.wall-other: 0.1994, IoU.wall-panel: 0.0721, IoU.wall-stone: 0.3186, IoU.wall-tile: 0.6869, IoU.wall-wood: 0.4089, IoU.water-other: 0.2836, IoU.waterdrops: 0.0000, IoU.window-blind: 0.4750, IoU.window-other: 0.4745, IoU.wood: 0.2736, Acc.person: 0.9362, Acc.bicycle: 0.8374, Acc.car: 0.7956, Acc.motorcycle: 0.8999, Acc.airplane: 0.9372, Acc.bus: 0.8905, Acc.train: 0.9332, Acc.truck: 0.8189, Acc.boat: 0.8457, Acc.traffic light: 0.8398, Acc.fire hydrant: 0.9510, Acc.stop sign: 0.9693, Acc.parking meter: 0.8754, Acc.bench: 0.8043, Acc.bird: 0.9218, Acc.cat: 0.8962, Acc.dog: 0.8847, Acc.horse: 0.9347, Acc.sheep: 0.9653, Acc.cow: 0.9358, Acc.elephant: 0.9618, Acc.bear: 0.9543, Acc.zebra: 0.9369, Acc.giraffe: 0.9381, Acc.backpack: 0.6322, Acc.umbrella: 0.9202, Acc.handbag: 0.6620, Acc.tie: 0.2107, Acc.suitcase: 0.9621, Acc.frisbee: 0.9258, Acc.skis: 0.7242, Acc.snowboard: 0.8228, Acc.sports ball: 0.8032, Acc.kite: 0.8407, Acc.baseball bat: 0.8216, Acc.baseball glove: 0.9212, Acc.skateboard: 0.9084, Acc.surfboard: 0.9177, Acc.tennis racket: 0.9500, Acc.bottle: 0.5824, Acc.wine glass: 0.7027, Acc.cup: 0.6082, Acc.fork: 0.3579, Acc.knife: 0.4168, Acc.spoon: 0.5672, Acc.bowl: 0.7417, Acc.banana: 0.9024, Acc.apple: 0.7721, Acc.sandwich: 0.5527, Acc.orange: 0.7893, Acc.broccoli: 0.6173, Acc.carrot: 0.8282, Acc.hot dog: 0.5796, Acc.pizza: 0.8188, Acc.donut: 0.7617, Acc.cake: 0.8142, Acc.chair: 0.7140, Acc.couch: 0.8331, Acc.potted plant: 0.3998, Acc.bed: 0.8179, Acc.dining table: 0.7844, Acc.toilet: 0.9468, Acc.tv: 0.8686, Acc.laptop: 0.9444, Acc.mouse: 0.9270, Acc.remote: 0.7696, Acc.keyboard: 0.7228, Acc.cell phone: 0.8657, Acc.microwave: 0.8261, Acc.oven: 0.8682, Acc.toaster: 0.0000, Acc.sink: 0.8194, Acc.refrigerator: 0.9274, Acc.book: 0.6126, Acc.clock: 0.8639, Acc.vase: 0.7934, Acc.scissors: 0.8413, Acc.teddy bear: 0.8667, Acc.hair drier: 0.0000, Acc.toothbrush: 0.8275, Acc.banner: 0.7538, Acc.blanket: 0.0412, Acc.branch: 0.1957, Acc.bridge: 0.5065, Acc.building-other: 0.6827, Acc.bush: 0.4718, Acc.cabinet: 0.7544, Acc.cage: 0.5070, Acc.cardboard: 0.6728, Acc.carpet: 0.7229, Acc.ceiling-other: 0.8620, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.2545, Acc.clouds: 0.6141, Acc.counter: 0.5061, Acc.cupboard: 0.0000, Acc.curtain: 0.8351, Acc.desk-stuff: 0.5693, Acc.dirt: 0.6021, Acc.door-stuff: 0.7150, Acc.fence: 0.4369, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2719, Acc.floor-stone: 0.0079, Acc.floor-tile: 0.7501, Acc.floor-wood: 0.7630, Acc.flower: 0.6213, Acc.fog: 0.0034, Acc.food-other: 0.4264, Acc.fruit: 0.5618, Acc.furniture-other: 0.2104, Acc.grass: 0.8496, Acc.gravel: 0.4868, Acc.ground-other: 0.0462, Acc.hill: 0.1632, Acc.house: 0.2438, Acc.leaves: 0.3113, Acc.light: 0.5582, Acc.mat: 0.0000, Acc.metal: 0.5455, Acc.mirror-stuff: 0.6608, Acc.moss: 0.0000, Acc.mountain: 0.7661, Acc.mud: 0.0000, Acc.napkin: 0.0051, Acc.net: 0.6516, Acc.paper: 0.4836, Acc.pavement: 0.6387, Acc.pillow: 0.0911, Acc.plant-other: 0.3581, Acc.plastic: 0.2638, Acc.platform: 0.3574, Acc.playingfield: 0.9128, Acc.railing: 0.0121, Acc.railroad: 0.7547, Acc.river: 0.5146, Acc.road: 0.8523, Acc.rock: 0.6177, Acc.roof: 0.3153, Acc.rug: 0.6127, Acc.salad: 0.0000, Acc.sand: 0.6786, Acc.sea: 0.9482, Acc.shelf: 0.5391, Acc.sky-other: 0.8690, Acc.skyscraper: 0.5245, Acc.snow: 0.9236, Acc.solid-other: 0.0000, Acc.stairs: 0.5268, Acc.stone: 0.1053, Acc.straw: 0.2031, Acc.structural-other: 0.0016, Acc.table: 0.2585, Acc.tent: 0.1234, Acc.textile-other: 0.2354, Acc.towel: 0.4113, Acc.tree: 0.8830, Acc.vegetable: 0.4516, Acc.wall-brick: 0.6077, Acc.wall-concrete: 0.7733, Acc.wall-other: 0.3558, Acc.wall-panel: 0.0932, Acc.wall-stone: 0.3879, Acc.wall-tile: 0.8433, Acc.wall-wood: 0.6301, Acc.water-other: 0.4591, Acc.waterdrops: 0.0000, Acc.window-blind: 0.5791, Acc.window-other: 0.7340, Acc.wood: 0.4100 2022-04-29 04:34:39,198 - mmseg - INFO - Iter [16050/80000] lr: 1.148e-06, eta: 1 day, 8:50:28, time: 8.326, data_time: 6.540, memory: 64979, decode.loss_cls: 1.0198, decode.loss_mask: 0.8259, decode.loss_dice: 1.2976, decode.d0.loss_cls: 3.4694, decode.d0.loss_mask: 0.8010, decode.d0.loss_dice: 1.5276, decode.d1.loss_cls: 1.1207, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3864, decode.d2.loss_cls: 1.0367, decode.d2.loss_mask: 0.8375, decode.d2.loss_dice: 1.3320, decode.d3.loss_cls: 1.0262, decode.d3.loss_mask: 0.8299, decode.d3.loss_dice: 1.3128, decode.d4.loss_cls: 1.0179, decode.d4.loss_mask: 0.8315, decode.d4.loss_dice: 1.3115, decode.d5.loss_cls: 1.0179, decode.d5.loss_mask: 0.8238, decode.d5.loss_dice: 1.3004, decode.d6.loss_cls: 1.0094, decode.d6.loss_mask: 0.8182, decode.d6.loss_dice: 1.2963, decode.d7.loss_cls: 1.0101, decode.d7.loss_mask: 0.8182, decode.d7.loss_dice: 1.2879, decode.d8.loss_cls: 1.0088, decode.d8.loss_mask: 0.8272, decode.d8.loss_dice: 1.2961, loss: 34.3415 2022-04-29 04:36:09,022 - mmseg - INFO - Iter [16100/80000] lr: 1.147e-06, eta: 1 day, 8:48:45, time: 1.797, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9862, decode.loss_mask: 0.8275, decode.loss_dice: 1.3395, decode.d0.loss_cls: 3.4017, decode.d0.loss_mask: 0.8057, decode.d0.loss_dice: 1.5495, decode.d1.loss_cls: 1.0826, decode.d1.loss_mask: 0.8490, decode.d1.loss_dice: 1.4106, decode.d2.loss_cls: 1.0192, decode.d2.loss_mask: 0.8336, decode.d2.loss_dice: 1.3570, decode.d3.loss_cls: 1.0002, decode.d3.loss_mask: 0.8255, decode.d3.loss_dice: 1.3361, decode.d4.loss_cls: 0.9923, decode.d4.loss_mask: 0.8270, decode.d4.loss_dice: 1.3411, decode.d5.loss_cls: 0.9827, decode.d5.loss_mask: 0.8256, decode.d5.loss_dice: 1.3338, decode.d6.loss_cls: 0.9822, decode.d6.loss_mask: 0.8330, decode.d6.loss_dice: 1.3287, decode.d7.loss_cls: 0.9814, decode.d7.loss_mask: 0.8319, decode.d7.loss_dice: 1.3325, decode.d8.loss_cls: 0.9768, decode.d8.loss_mask: 0.8336, decode.d8.loss_dice: 1.3300, loss: 34.3566 2022-04-29 04:37:38,085 - mmseg - INFO - Iter [16150/80000] lr: 1.146e-06, eta: 1 day, 8:46:59, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9872, decode.loss_mask: 0.8501, decode.loss_dice: 1.3165, decode.d0.loss_cls: 3.3948, decode.d0.loss_mask: 0.8335, decode.d0.loss_dice: 1.5273, decode.d1.loss_cls: 1.0880, decode.d1.loss_mask: 0.8645, decode.d1.loss_dice: 1.3916, decode.d2.loss_cls: 1.0083, decode.d2.loss_mask: 0.8553, decode.d2.loss_dice: 1.3495, decode.d3.loss_cls: 0.9953, decode.d3.loss_mask: 0.8593, decode.d3.loss_dice: 1.3245, decode.d4.loss_cls: 0.9939, decode.d4.loss_mask: 0.8566, decode.d4.loss_dice: 1.3206, decode.d5.loss_cls: 0.9858, decode.d5.loss_mask: 0.8565, decode.d5.loss_dice: 1.3226, decode.d6.loss_cls: 0.9820, decode.d6.loss_mask: 0.8482, decode.d6.loss_dice: 1.3093, decode.d7.loss_cls: 0.9811, decode.d7.loss_mask: 0.8515, decode.d7.loss_dice: 1.3201, decode.d8.loss_cls: 0.9839, decode.d8.loss_mask: 0.8529, decode.d8.loss_dice: 1.3210, loss: 34.4317 2022-04-29 04:39:07,959 - mmseg - INFO - Iter [16200/80000] lr: 1.145e-06, eta: 1 day, 8:45:17, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0036, decode.loss_mask: 0.8237, decode.loss_dice: 1.2958, decode.d0.loss_cls: 3.4314, decode.d0.loss_mask: 0.8115, decode.d0.loss_dice: 1.5105, decode.d1.loss_cls: 1.0965, decode.d1.loss_mask: 0.8466, decode.d1.loss_dice: 1.3914, decode.d2.loss_cls: 1.0308, decode.d2.loss_mask: 0.8371, decode.d2.loss_dice: 1.3382, decode.d3.loss_cls: 1.0225, decode.d3.loss_mask: 0.8324, decode.d3.loss_dice: 1.3153, decode.d4.loss_cls: 1.0188, decode.d4.loss_mask: 0.8290, decode.d4.loss_dice: 1.3124, decode.d5.loss_cls: 1.0096, decode.d5.loss_mask: 0.8241, decode.d5.loss_dice: 1.3001, decode.d6.loss_cls: 0.9998, decode.d6.loss_mask: 0.8283, decode.d6.loss_dice: 1.2954, decode.d7.loss_cls: 1.0037, decode.d7.loss_mask: 0.8260, decode.d7.loss_dice: 1.3005, decode.d8.loss_cls: 1.0029, decode.d8.loss_mask: 0.8235, decode.d8.loss_dice: 1.3002, loss: 34.2616 2022-04-29 04:40:37,853 - mmseg - INFO - Iter [16250/80000] lr: 1.144e-06, eta: 1 day, 8:43:34, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9771, decode.loss_mask: 0.8059, decode.loss_dice: 1.2814, decode.d0.loss_cls: 3.3513, decode.d0.loss_mask: 0.7912, decode.d0.loss_dice: 1.4972, decode.d1.loss_cls: 1.0791, decode.d1.loss_mask: 0.8221, decode.d1.loss_dice: 1.3575, decode.d2.loss_cls: 0.9969, decode.d2.loss_mask: 0.8179, decode.d2.loss_dice: 1.3130, decode.d3.loss_cls: 0.9822, decode.d3.loss_mask: 0.8133, decode.d3.loss_dice: 1.2950, decode.d4.loss_cls: 0.9839, decode.d4.loss_mask: 0.8114, decode.d4.loss_dice: 1.2955, decode.d5.loss_cls: 0.9797, decode.d5.loss_mask: 0.8092, decode.d5.loss_dice: 1.2898, decode.d6.loss_cls: 0.9711, decode.d6.loss_mask: 0.8062, decode.d6.loss_dice: 1.2801, decode.d7.loss_cls: 0.9709, decode.d7.loss_mask: 0.8020, decode.d7.loss_dice: 1.2820, decode.d8.loss_cls: 0.9715, decode.d8.loss_mask: 0.8024, decode.d8.loss_dice: 1.2811, loss: 33.5181 2022-04-29 04:42:07,771 - mmseg - INFO - Iter [16300/80000] lr: 1.143e-06, eta: 1 day, 8:41:52, time: 1.800, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0114, decode.loss_mask: 0.8191, decode.loss_dice: 1.3078, decode.d0.loss_cls: 3.3942, decode.d0.loss_mask: 0.8050, decode.d0.loss_dice: 1.5327, decode.d1.loss_cls: 1.0896, decode.d1.loss_mask: 0.8485, decode.d1.loss_dice: 1.3980, decode.d2.loss_cls: 1.0292, decode.d2.loss_mask: 0.8268, decode.d2.loss_dice: 1.3531, decode.d3.loss_cls: 1.0149, decode.d3.loss_mask: 0.8224, decode.d3.loss_dice: 1.3213, decode.d4.loss_cls: 1.0086, decode.d4.loss_mask: 0.8225, decode.d4.loss_dice: 1.3229, decode.d5.loss_cls: 1.0117, decode.d5.loss_mask: 0.8184, decode.d5.loss_dice: 1.3197, decode.d6.loss_cls: 0.9959, decode.d6.loss_mask: 0.8224, decode.d6.loss_dice: 1.3100, decode.d7.loss_cls: 1.0040, decode.d7.loss_mask: 0.8166, decode.d7.loss_dice: 1.3152, decode.d8.loss_cls: 1.0046, decode.d8.loss_mask: 0.8202, decode.d8.loss_dice: 1.3097, loss: 34.2764 2022-04-29 04:43:37,451 - mmseg - INFO - Iter [16350/80000] lr: 1.142e-06, eta: 1 day, 8:40:09, time: 1.793, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9749, decode.loss_mask: 0.8637, decode.loss_dice: 1.3246, decode.d0.loss_cls: 3.3449, decode.d0.loss_mask: 0.8354, decode.d0.loss_dice: 1.5335, decode.d1.loss_cls: 1.0731, decode.d1.loss_mask: 0.8774, decode.d1.loss_dice: 1.3971, decode.d2.loss_cls: 1.0097, decode.d2.loss_mask: 0.8711, decode.d2.loss_dice: 1.3567, decode.d3.loss_cls: 0.9856, decode.d3.loss_mask: 0.8688, decode.d3.loss_dice: 1.3396, decode.d4.loss_cls: 0.9801, decode.d4.loss_mask: 0.8596, decode.d4.loss_dice: 1.3383, decode.d5.loss_cls: 0.9760, decode.d5.loss_mask: 0.8642, decode.d5.loss_dice: 1.3355, decode.d6.loss_cls: 0.9716, decode.d6.loss_mask: 0.8600, decode.d6.loss_dice: 1.3252, decode.d7.loss_cls: 0.9727, decode.d7.loss_mask: 0.8657, decode.d7.loss_dice: 1.3258, decode.d8.loss_cls: 0.9667, decode.d8.loss_mask: 0.8663, decode.d8.loss_dice: 1.3264, loss: 34.4901 2022-04-29 04:45:07,853 - mmseg - INFO - Iter [16400/80000] lr: 1.141e-06, eta: 1 day, 8:38:29, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9900, decode.loss_mask: 0.8613, decode.loss_dice: 1.2944, decode.d0.loss_cls: 3.3254, decode.d0.loss_mask: 0.8328, decode.d0.loss_dice: 1.5137, decode.d1.loss_cls: 1.0879, decode.d1.loss_mask: 0.8891, decode.d1.loss_dice: 1.3759, decode.d2.loss_cls: 1.0103, decode.d2.loss_mask: 0.8773, decode.d2.loss_dice: 1.3257, decode.d3.loss_cls: 0.9975, decode.d3.loss_mask: 0.8742, decode.d3.loss_dice: 1.3223, decode.d4.loss_cls: 0.9946, decode.d4.loss_mask: 0.8648, decode.d4.loss_dice: 1.3170, decode.d5.loss_cls: 0.9828, decode.d5.loss_mask: 0.8686, decode.d5.loss_dice: 1.3094, decode.d6.loss_cls: 0.9871, decode.d6.loss_mask: 0.8562, decode.d6.loss_dice: 1.2953, decode.d7.loss_cls: 0.9820, decode.d7.loss_mask: 0.8605, decode.d7.loss_dice: 1.2976, decode.d8.loss_cls: 0.9856, decode.d8.loss_mask: 0.8630, decode.d8.loss_dice: 1.2992, loss: 34.3416 2022-04-29 04:46:37,034 - mmseg - INFO - Iter [16450/80000] lr: 1.141e-06, eta: 1 day, 8:36:45, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9884, decode.loss_mask: 0.8389, decode.loss_dice: 1.3235, decode.d0.loss_cls: 3.3541, decode.d0.loss_mask: 0.8128, decode.d0.loss_dice: 1.5529, decode.d1.loss_cls: 1.0867, decode.d1.loss_mask: 0.8605, decode.d1.loss_dice: 1.4004, decode.d2.loss_cls: 1.0155, decode.d2.loss_mask: 0.8462, decode.d2.loss_dice: 1.3548, decode.d3.loss_cls: 1.0042, decode.d3.loss_mask: 0.8323, decode.d3.loss_dice: 1.3274, decode.d4.loss_cls: 0.9988, decode.d4.loss_mask: 0.8345, decode.d4.loss_dice: 1.3224, decode.d5.loss_cls: 0.9892, decode.d5.loss_mask: 0.8361, decode.d5.loss_dice: 1.3284, decode.d6.loss_cls: 0.9827, decode.d6.loss_mask: 0.8358, decode.d6.loss_dice: 1.3177, decode.d7.loss_cls: 0.9863, decode.d7.loss_mask: 0.8354, decode.d7.loss_dice: 1.3188, decode.d8.loss_cls: 0.9942, decode.d8.loss_mask: 0.8328, decode.d8.loss_dice: 1.3182, loss: 34.3299 2022-04-29 04:48:07,830 - mmseg - INFO - Iter [16500/80000] lr: 1.140e-06, eta: 1 day, 8:35:06, time: 1.814, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9983, decode.loss_mask: 0.8502, decode.loss_dice: 1.3294, decode.d0.loss_cls: 3.3308, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.5473, decode.d1.loss_cls: 1.1029, decode.d1.loss_mask: 0.8685, decode.d1.loss_dice: 1.4109, decode.d2.loss_cls: 1.0311, decode.d2.loss_mask: 0.8571, decode.d2.loss_dice: 1.3655, decode.d3.loss_cls: 1.0102, decode.d3.loss_mask: 0.8576, decode.d3.loss_dice: 1.3423, decode.d4.loss_cls: 1.0086, decode.d4.loss_mask: 0.8533, decode.d4.loss_dice: 1.3394, decode.d5.loss_cls: 1.0053, decode.d5.loss_mask: 0.8455, decode.d5.loss_dice: 1.3379, decode.d6.loss_cls: 0.9985, decode.d6.loss_mask: 0.8510, decode.d6.loss_dice: 1.3245, decode.d7.loss_cls: 0.9924, decode.d7.loss_mask: 0.8548, decode.d7.loss_dice: 1.3314, decode.d8.loss_cls: 0.9876, decode.d8.loss_mask: 0.8520, decode.d8.loss_dice: 1.3390, loss: 34.6544 2022-04-29 04:49:37,745 - mmseg - INFO - Iter [16550/80000] lr: 1.139e-06, eta: 1 day, 8:33:24, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9570, decode.loss_mask: 0.8341, decode.loss_dice: 1.3069, decode.d0.loss_cls: 3.3042, decode.d0.loss_mask: 0.8173, decode.d0.loss_dice: 1.5214, decode.d1.loss_cls: 1.0604, decode.d1.loss_mask: 0.8507, decode.d1.loss_dice: 1.3973, decode.d2.loss_cls: 0.9906, decode.d2.loss_mask: 0.8370, decode.d2.loss_dice: 1.3517, decode.d3.loss_cls: 0.9694, decode.d3.loss_mask: 0.8378, decode.d3.loss_dice: 1.3197, decode.d4.loss_cls: 0.9653, decode.d4.loss_mask: 0.8401, decode.d4.loss_dice: 1.3210, decode.d5.loss_cls: 0.9589, decode.d5.loss_mask: 0.8315, decode.d5.loss_dice: 1.3159, decode.d6.loss_cls: 0.9518, decode.d6.loss_mask: 0.8353, decode.d6.loss_dice: 1.3123, decode.d7.loss_cls: 0.9501, decode.d7.loss_mask: 0.8344, decode.d7.loss_dice: 1.3047, decode.d8.loss_cls: 0.9552, decode.d8.loss_mask: 0.8336, decode.d8.loss_dice: 1.3026, loss: 33.8684 2022-04-29 04:51:07,451 - mmseg - INFO - Iter [16600/80000] lr: 1.138e-06, eta: 1 day, 8:31:42, time: 1.794, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9444, decode.loss_mask: 0.8152, decode.loss_dice: 1.2643, decode.d0.loss_cls: 3.2814, decode.d0.loss_mask: 0.7919, decode.d0.loss_dice: 1.4675, decode.d1.loss_cls: 1.0386, decode.d1.loss_mask: 0.8397, decode.d1.loss_dice: 1.3451, decode.d2.loss_cls: 0.9632, decode.d2.loss_mask: 0.8285, decode.d2.loss_dice: 1.3026, decode.d3.loss_cls: 0.9487, decode.d3.loss_mask: 0.8232, decode.d3.loss_dice: 1.2713, decode.d4.loss_cls: 0.9423, decode.d4.loss_mask: 0.8283, decode.d4.loss_dice: 1.2711, decode.d5.loss_cls: 0.9319, decode.d5.loss_mask: 0.8263, decode.d5.loss_dice: 1.2688, decode.d6.loss_cls: 0.9285, decode.d6.loss_mask: 0.8200, decode.d6.loss_dice: 1.2595, decode.d7.loss_cls: 0.9406, decode.d7.loss_mask: 0.8146, decode.d7.loss_dice: 1.2652, decode.d8.loss_cls: 0.9322, decode.d8.loss_mask: 0.8146, decode.d8.loss_dice: 1.2616, loss: 33.0309 2022-04-29 04:52:36,683 - mmseg - INFO - Iter [16650/80000] lr: 1.137e-06, eta: 1 day, 8:29:58, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9740, decode.loss_mask: 0.8482, decode.loss_dice: 1.2935, decode.d0.loss_cls: 3.2838, decode.d0.loss_mask: 0.8280, decode.d0.loss_dice: 1.5163, decode.d1.loss_cls: 1.0642, decode.d1.loss_mask: 0.8708, decode.d1.loss_dice: 1.3923, decode.d2.loss_cls: 0.9971, decode.d2.loss_mask: 0.8609, decode.d2.loss_dice: 1.3422, decode.d3.loss_cls: 0.9770, decode.d3.loss_mask: 0.8614, decode.d3.loss_dice: 1.3107, decode.d4.loss_cls: 0.9723, decode.d4.loss_mask: 0.8518, decode.d4.loss_dice: 1.3055, decode.d5.loss_cls: 0.9648, decode.d5.loss_mask: 0.8486, decode.d5.loss_dice: 1.3058, decode.d6.loss_cls: 0.9614, decode.d6.loss_mask: 0.8475, decode.d6.loss_dice: 1.2948, decode.d7.loss_cls: 0.9700, decode.d7.loss_mask: 0.8513, decode.d7.loss_dice: 1.2973, decode.d8.loss_cls: 0.9672, decode.d8.loss_mask: 0.8531, decode.d8.loss_dice: 1.2927, loss: 34.0046 2022-04-29 04:54:07,582 - mmseg - INFO - Iter [16700/80000] lr: 1.136e-06, eta: 1 day, 8:28:20, time: 1.818, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9299, decode.loss_mask: 0.8300, decode.loss_dice: 1.3089, decode.d0.loss_cls: 3.2290, decode.d0.loss_mask: 0.8014, decode.d0.loss_dice: 1.5118, decode.d1.loss_cls: 1.0239, decode.d1.loss_mask: 0.8531, decode.d1.loss_dice: 1.3919, decode.d2.loss_cls: 0.9598, decode.d2.loss_mask: 0.8400, decode.d2.loss_dice: 1.3395, decode.d3.loss_cls: 0.9467, decode.d3.loss_mask: 0.8276, decode.d3.loss_dice: 1.3181, decode.d4.loss_cls: 0.9348, decode.d4.loss_mask: 0.8300, decode.d4.loss_dice: 1.3088, decode.d5.loss_cls: 0.9315, decode.d5.loss_mask: 0.8249, decode.d5.loss_dice: 1.3099, decode.d6.loss_cls: 0.9321, decode.d6.loss_mask: 0.8279, decode.d6.loss_dice: 1.3016, decode.d7.loss_cls: 0.9292, decode.d7.loss_mask: 0.8266, decode.d7.loss_dice: 1.3078, decode.d8.loss_cls: 0.9238, decode.d8.loss_mask: 0.8265, decode.d8.loss_dice: 1.3059, loss: 33.4329 2022-04-29 04:55:36,048 - mmseg - INFO - Iter [16750/80000] lr: 1.135e-06, eta: 1 day, 8:26:33, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9769, decode.loss_mask: 0.8631, decode.loss_dice: 1.3128, decode.d0.loss_cls: 3.2231, decode.d0.loss_mask: 0.8396, decode.d0.loss_dice: 1.5328, decode.d1.loss_cls: 1.0749, decode.d1.loss_mask: 0.8872, decode.d1.loss_dice: 1.4002, decode.d2.loss_cls: 1.0133, decode.d2.loss_mask: 0.8749, decode.d2.loss_dice: 1.3466, decode.d3.loss_cls: 0.9967, decode.d3.loss_mask: 0.8727, decode.d3.loss_dice: 1.3282, decode.d4.loss_cls: 0.9848, decode.d4.loss_mask: 0.8679, decode.d4.loss_dice: 1.3375, decode.d5.loss_cls: 0.9821, decode.d5.loss_mask: 0.8687, decode.d5.loss_dice: 1.3356, decode.d6.loss_cls: 0.9743, decode.d6.loss_mask: 0.8639, decode.d6.loss_dice: 1.3198, decode.d7.loss_cls: 0.9771, decode.d7.loss_mask: 0.8630, decode.d7.loss_dice: 1.3168, decode.d8.loss_cls: 0.9685, decode.d8.loss_mask: 0.8656, decode.d8.loss_dice: 1.3174, loss: 34.3862 2022-04-29 04:57:05,915 - mmseg - INFO - Iter [16800/80000] lr: 1.134e-06, eta: 1 day, 8:24:51, time: 1.797, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9545, decode.loss_mask: 0.8380, decode.loss_dice: 1.3057, decode.d0.loss_cls: 3.3097, decode.d0.loss_mask: 0.8172, decode.d0.loss_dice: 1.5175, decode.d1.loss_cls: 1.0512, decode.d1.loss_mask: 0.8523, decode.d1.loss_dice: 1.3884, decode.d2.loss_cls: 0.9818, decode.d2.loss_mask: 0.8459, decode.d2.loss_dice: 1.3429, decode.d3.loss_cls: 0.9624, decode.d3.loss_mask: 0.8429, decode.d3.loss_dice: 1.3215, decode.d4.loss_cls: 0.9591, decode.d4.loss_mask: 0.8457, decode.d4.loss_dice: 1.3211, decode.d5.loss_cls: 0.9494, decode.d5.loss_mask: 0.8435, decode.d5.loss_dice: 1.3222, decode.d6.loss_cls: 0.9403, decode.d6.loss_mask: 0.8419, decode.d6.loss_dice: 1.3058, decode.d7.loss_cls: 0.9521, decode.d7.loss_mask: 0.8363, decode.d7.loss_dice: 1.3073, decode.d8.loss_cls: 0.9451, decode.d8.loss_mask: 0.8406, decode.d8.loss_dice: 1.3059, loss: 33.8480 2022-04-29 04:58:35,773 - mmseg - INFO - Iter [16850/80000] lr: 1.133e-06, eta: 1 day, 8:23:09, time: 1.795, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9612, decode.loss_mask: 0.8182, decode.loss_dice: 1.2887, decode.d0.loss_cls: 3.2483, decode.d0.loss_mask: 0.7904, decode.d0.loss_dice: 1.5011, decode.d1.loss_cls: 1.0742, decode.d1.loss_mask: 0.8312, decode.d1.loss_dice: 1.3776, decode.d2.loss_cls: 0.9990, decode.d2.loss_mask: 0.8232, decode.d2.loss_dice: 1.3229, decode.d3.loss_cls: 0.9829, decode.d3.loss_mask: 0.8194, decode.d3.loss_dice: 1.3061, decode.d4.loss_cls: 0.9759, decode.d4.loss_mask: 0.8210, decode.d4.loss_dice: 1.3032, decode.d5.loss_cls: 0.9668, decode.d5.loss_mask: 0.8231, decode.d5.loss_dice: 1.3076, decode.d6.loss_cls: 0.9656, decode.d6.loss_mask: 0.8175, decode.d6.loss_dice: 1.3100, decode.d7.loss_cls: 0.9646, decode.d7.loss_mask: 0.8177, decode.d7.loss_dice: 1.2972, decode.d8.loss_cls: 0.9607, decode.d8.loss_mask: 0.8178, decode.d8.loss_dice: 1.2905, loss: 33.5836 2022-04-29 05:00:05,512 - mmseg - INFO - Iter [16900/80000] lr: 1.133e-06, eta: 1 day, 8:21:28, time: 1.796, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9830, decode.loss_mask: 0.8258, decode.loss_dice: 1.2975, decode.d0.loss_cls: 3.2549, decode.d0.loss_mask: 0.8146, decode.d0.loss_dice: 1.5132, decode.d1.loss_cls: 1.0849, decode.d1.loss_mask: 0.8543, decode.d1.loss_dice: 1.3848, decode.d2.loss_cls: 1.0176, decode.d2.loss_mask: 0.8345, decode.d2.loss_dice: 1.3376, decode.d3.loss_cls: 1.0019, decode.d3.loss_mask: 0.8354, decode.d3.loss_dice: 1.3247, decode.d4.loss_cls: 1.0005, decode.d4.loss_mask: 0.8295, decode.d4.loss_dice: 1.3182, decode.d5.loss_cls: 0.9921, decode.d5.loss_mask: 0.8308, decode.d5.loss_dice: 1.3119, decode.d6.loss_cls: 0.9890, decode.d6.loss_mask: 0.8216, decode.d6.loss_dice: 1.2989, decode.d7.loss_cls: 0.9867, decode.d7.loss_mask: 0.8274, decode.d7.loss_dice: 1.2987, decode.d8.loss_cls: 0.9810, decode.d8.loss_mask: 0.8295, decode.d8.loss_dice: 1.3022, loss: 33.9830 2022-04-29 05:01:36,351 - mmseg - INFO - Iter [16950/80000] lr: 1.132e-06, eta: 1 day, 8:19:50, time: 1.817, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9465, decode.loss_mask: 0.8189, decode.loss_dice: 1.2671, decode.d0.loss_cls: 3.2637, decode.d0.loss_mask: 0.8085, decode.d0.loss_dice: 1.4805, decode.d1.loss_cls: 1.0465, decode.d1.loss_mask: 0.8420, decode.d1.loss_dice: 1.3407, decode.d2.loss_cls: 0.9758, decode.d2.loss_mask: 0.8267, decode.d2.loss_dice: 1.2882, decode.d3.loss_cls: 0.9627, decode.d3.loss_mask: 0.8262, decode.d3.loss_dice: 1.2773, decode.d4.loss_cls: 0.9486, decode.d4.loss_mask: 0.8206, decode.d4.loss_dice: 1.2715, decode.d5.loss_cls: 0.9470, decode.d5.loss_mask: 0.8176, decode.d5.loss_dice: 1.2754, decode.d6.loss_cls: 0.9458, decode.d6.loss_mask: 0.8157, decode.d6.loss_dice: 1.2581, decode.d7.loss_cls: 0.9451, decode.d7.loss_mask: 0.8189, decode.d7.loss_dice: 1.2744, decode.d8.loss_cls: 0.9416, decode.d8.loss_mask: 0.8244, decode.d8.loss_dice: 1.2701, loss: 33.1463 2022-04-29 05:03:06,900 - mmseg - INFO - Saving checkpoint at 17000 iterations 2022-04-29 05:03:24,713 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 05:03:24,715 - mmseg - INFO - Iter [17000/80000] lr: 1.131e-06, eta: 1 day, 8:19:17, time: 2.165, data_time: 0.013, memory: 64979, decode.loss_cls: 1.0051, decode.loss_mask: 0.8391, decode.loss_dice: 1.3463, decode.d0.loss_cls: 3.2811, decode.d0.loss_mask: 0.8148, decode.d0.loss_dice: 1.5659, decode.d1.loss_cls: 1.1245, decode.d1.loss_mask: 0.8574, decode.d1.loss_dice: 1.4252, decode.d2.loss_cls: 1.0563, decode.d2.loss_mask: 0.8347, decode.d2.loss_dice: 1.3708, decode.d3.loss_cls: 1.0325, decode.d3.loss_mask: 0.8368, decode.d3.loss_dice: 1.3598, decode.d4.loss_cls: 1.0263, decode.d4.loss_mask: 0.8410, decode.d4.loss_dice: 1.3595, decode.d5.loss_cls: 1.0116, decode.d5.loss_mask: 0.8416, decode.d5.loss_dice: 1.3456, decode.d6.loss_cls: 1.0096, decode.d6.loss_mask: 0.8317, decode.d6.loss_dice: 1.3371, decode.d7.loss_cls: 1.0110, decode.d7.loss_mask: 0.8335, decode.d7.loss_dice: 1.3394, decode.d8.loss_cls: 1.0048, decode.d8.loss_mask: 0.8367, decode.d8.loss_dice: 1.3421, loss: 34.7219 2022-04-29 05:04:56,364 - mmseg - INFO - Iter [17050/80000] lr: 1.130e-06, eta: 1 day, 8:17:42, time: 1.835, data_time: 0.026, memory: 64979, decode.loss_cls: 1.0393, decode.loss_mask: 0.8035, decode.loss_dice: 1.3050, decode.d0.loss_cls: 3.3058, decode.d0.loss_mask: 0.7975, decode.d0.loss_dice: 1.5389, decode.d1.loss_cls: 1.1267, decode.d1.loss_mask: 0.8201, decode.d1.loss_dice: 1.3964, decode.d2.loss_cls: 1.0558, decode.d2.loss_mask: 0.8156, decode.d2.loss_dice: 1.3412, decode.d3.loss_cls: 1.0396, decode.d3.loss_mask: 0.8133, decode.d3.loss_dice: 1.3326, decode.d4.loss_cls: 1.0347, decode.d4.loss_mask: 0.8146, decode.d4.loss_dice: 1.3212, decode.d5.loss_cls: 1.0268, decode.d5.loss_mask: 0.8103, decode.d5.loss_dice: 1.3260, decode.d6.loss_cls: 1.0375, decode.d6.loss_mask: 0.8083, decode.d6.loss_dice: 1.3046, decode.d7.loss_cls: 1.0307, decode.d7.loss_mask: 0.8097, decode.d7.loss_dice: 1.3119, decode.d8.loss_cls: 1.0357, decode.d8.loss_mask: 0.8056, decode.d8.loss_dice: 1.3126, loss: 34.3218 2022-04-29 05:06:26,776 - mmseg - INFO - Iter [17100/80000] lr: 1.129e-06, eta: 1 day, 8:16:03, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9833, decode.loss_mask: 0.8272, decode.loss_dice: 1.2893, decode.d0.loss_cls: 3.2084, decode.d0.loss_mask: 0.8036, decode.d0.loss_dice: 1.5156, decode.d1.loss_cls: 1.0743, decode.d1.loss_mask: 0.8475, decode.d1.loss_dice: 1.3783, decode.d2.loss_cls: 1.0025, decode.d2.loss_mask: 0.8339, decode.d2.loss_dice: 1.3264, decode.d3.loss_cls: 0.9857, decode.d3.loss_mask: 0.8312, decode.d3.loss_dice: 1.3093, decode.d4.loss_cls: 0.9849, decode.d4.loss_mask: 0.8311, decode.d4.loss_dice: 1.3091, decode.d5.loss_cls: 0.9764, decode.d5.loss_mask: 0.8274, decode.d5.loss_dice: 1.3074, decode.d6.loss_cls: 0.9815, decode.d6.loss_mask: 0.8217, decode.d6.loss_dice: 1.2910, decode.d7.loss_cls: 0.9750, decode.d7.loss_mask: 0.8259, decode.d7.loss_dice: 1.2970, decode.d8.loss_cls: 0.9733, decode.d8.loss_mask: 0.8280, decode.d8.loss_dice: 1.2912, loss: 33.7374 2022-04-29 05:07:55,936 - mmseg - INFO - Iter [17150/80000] lr: 1.128e-06, eta: 1 day, 8:14:19, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9918, decode.loss_mask: 0.8291, decode.loss_dice: 1.3020, decode.d0.loss_cls: 3.2678, decode.d0.loss_mask: 0.8072, decode.d0.loss_dice: 1.5319, decode.d1.loss_cls: 1.0835, decode.d1.loss_mask: 0.8567, decode.d1.loss_dice: 1.3938, decode.d2.loss_cls: 1.0193, decode.d2.loss_mask: 0.8407, decode.d2.loss_dice: 1.3489, decode.d3.loss_cls: 1.0090, decode.d3.loss_mask: 0.8332, decode.d3.loss_dice: 1.3228, decode.d4.loss_cls: 1.0006, decode.d4.loss_mask: 0.8326, decode.d4.loss_dice: 1.3160, decode.d5.loss_cls: 0.9927, decode.d5.loss_mask: 0.8322, decode.d5.loss_dice: 1.3125, decode.d6.loss_cls: 0.9879, decode.d6.loss_mask: 0.8249, decode.d6.loss_dice: 1.2966, decode.d7.loss_cls: 0.9846, decode.d7.loss_mask: 0.8266, decode.d7.loss_dice: 1.3068, decode.d8.loss_cls: 0.9821, decode.d8.loss_mask: 0.8275, decode.d8.loss_dice: 1.3062, loss: 34.0675 2022-04-29 05:09:25,912 - mmseg - INFO - Iter [17200/80000] lr: 1.127e-06, eta: 1 day, 8:12:38, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9737, decode.loss_mask: 0.8056, decode.loss_dice: 1.2476, decode.d0.loss_cls: 3.2530, decode.d0.loss_mask: 0.8024, decode.d0.loss_dice: 1.4708, decode.d1.loss_cls: 1.0682, decode.d1.loss_mask: 0.8366, decode.d1.loss_dice: 1.3408, decode.d2.loss_cls: 1.0003, decode.d2.loss_mask: 0.8188, decode.d2.loss_dice: 1.2888, decode.d3.loss_cls: 0.9830, decode.d3.loss_mask: 0.8153, decode.d3.loss_dice: 1.2615, decode.d4.loss_cls: 0.9749, decode.d4.loss_mask: 0.8181, decode.d4.loss_dice: 1.2590, decode.d5.loss_cls: 0.9647, decode.d5.loss_mask: 0.8122, decode.d5.loss_dice: 1.2554, decode.d6.loss_cls: 0.9682, decode.d6.loss_mask: 0.8118, decode.d6.loss_dice: 1.2513, decode.d7.loss_cls: 0.9610, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.2565, decode.d8.loss_cls: 0.9655, decode.d8.loss_mask: 0.8061, decode.d8.loss_dice: 1.2443, loss: 33.1276 2022-04-29 05:10:55,711 - mmseg - INFO - Iter [17250/80000] lr: 1.126e-06, eta: 1 day, 8:10:57, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9704, decode.loss_mask: 0.8546, decode.loss_dice: 1.3123, decode.d0.loss_cls: 3.1941, decode.d0.loss_mask: 0.8285, decode.d0.loss_dice: 1.5213, decode.d1.loss_cls: 1.0729, decode.d1.loss_mask: 0.8730, decode.d1.loss_dice: 1.3931, decode.d2.loss_cls: 0.9997, decode.d2.loss_mask: 0.8604, decode.d2.loss_dice: 1.3529, decode.d3.loss_cls: 0.9806, decode.d3.loss_mask: 0.8540, decode.d3.loss_dice: 1.3313, decode.d4.loss_cls: 0.9822, decode.d4.loss_mask: 0.8547, decode.d4.loss_dice: 1.3254, decode.d5.loss_cls: 0.9780, decode.d5.loss_mask: 0.8546, decode.d5.loss_dice: 1.3244, decode.d6.loss_cls: 0.9658, decode.d6.loss_mask: 0.8581, decode.d6.loss_dice: 1.3095, decode.d7.loss_cls: 0.9647, decode.d7.loss_mask: 0.8506, decode.d7.loss_dice: 1.3127, decode.d8.loss_cls: 0.9666, decode.d8.loss_mask: 0.8548, decode.d8.loss_dice: 1.3189, loss: 34.1201 2022-04-29 05:12:25,538 - mmseg - INFO - Iter [17300/80000] lr: 1.125e-06, eta: 1 day, 8:09:15, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9788, decode.loss_mask: 0.8401, decode.loss_dice: 1.3047, decode.d0.loss_cls: 3.2660, decode.d0.loss_mask: 0.8169, decode.d0.loss_dice: 1.5249, decode.d1.loss_cls: 1.0705, decode.d1.loss_mask: 0.8714, decode.d1.loss_dice: 1.3938, decode.d2.loss_cls: 1.0030, decode.d2.loss_mask: 0.8490, decode.d2.loss_dice: 1.3486, decode.d3.loss_cls: 0.9882, decode.d3.loss_mask: 0.8440, decode.d3.loss_dice: 1.3158, decode.d4.loss_cls: 0.9870, decode.d4.loss_mask: 0.8455, decode.d4.loss_dice: 1.3243, decode.d5.loss_cls: 0.9773, decode.d5.loss_mask: 0.8467, decode.d5.loss_dice: 1.3177, decode.d6.loss_cls: 0.9697, decode.d6.loss_mask: 0.8391, decode.d6.loss_dice: 1.3121, decode.d7.loss_cls: 0.9679, decode.d7.loss_mask: 0.8460, decode.d7.loss_dice: 1.3111, decode.d8.loss_cls: 0.9714, decode.d8.loss_mask: 0.8416, decode.d8.loss_dice: 1.3090, loss: 34.0822 2022-04-29 05:13:55,789 - mmseg - INFO - Iter [17350/80000] lr: 1.124e-06, eta: 1 day, 8:07:35, time: 1.803, data_time: 0.018, memory: 64979, decode.loss_cls: 0.9856, decode.loss_mask: 0.8019, decode.loss_dice: 1.3035, decode.d0.loss_cls: 3.2406, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.5177, decode.d1.loss_cls: 1.0775, decode.d1.loss_mask: 0.8264, decode.d1.loss_dice: 1.3861, decode.d2.loss_cls: 1.0081, decode.d2.loss_mask: 0.8126, decode.d2.loss_dice: 1.3331, decode.d3.loss_cls: 0.9878, decode.d3.loss_mask: 0.8134, decode.d3.loss_dice: 1.3111, decode.d4.loss_cls: 0.9967, decode.d4.loss_mask: 0.8107, decode.d4.loss_dice: 1.3122, decode.d5.loss_cls: 0.9866, decode.d5.loss_mask: 0.8072, decode.d5.loss_dice: 1.3090, decode.d6.loss_cls: 0.9779, decode.d6.loss_mask: 0.8029, decode.d6.loss_dice: 1.3034, decode.d7.loss_cls: 0.9825, decode.d7.loss_mask: 0.8009, decode.d7.loss_dice: 1.2987, decode.d8.loss_cls: 0.9814, decode.d8.loss_mask: 0.8032, decode.d8.loss_dice: 1.3013, loss: 33.6677 2022-04-29 05:15:26,885 - mmseg - INFO - Iter [17400/80000] lr: 1.124e-06, eta: 1 day, 8:05:59, time: 1.824, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0083, decode.loss_mask: 0.8332, decode.loss_dice: 1.3188, decode.d0.loss_cls: 3.2727, decode.d0.loss_mask: 0.8122, decode.d0.loss_dice: 1.5446, decode.d1.loss_cls: 1.0879, decode.d1.loss_mask: 0.8639, decode.d1.loss_dice: 1.4185, decode.d2.loss_cls: 1.0275, decode.d2.loss_mask: 0.8465, decode.d2.loss_dice: 1.3638, decode.d3.loss_cls: 1.0020, decode.d3.loss_mask: 0.8376, decode.d3.loss_dice: 1.3430, decode.d4.loss_cls: 0.9980, decode.d4.loss_mask: 0.8382, decode.d4.loss_dice: 1.3415, decode.d5.loss_cls: 0.9924, decode.d5.loss_mask: 0.8392, decode.d5.loss_dice: 1.3355, decode.d6.loss_cls: 1.0026, decode.d6.loss_mask: 0.8312, decode.d6.loss_dice: 1.3251, decode.d7.loss_cls: 1.0017, decode.d7.loss_mask: 0.8369, decode.d7.loss_dice: 1.3259, decode.d8.loss_cls: 0.9997, decode.d8.loss_mask: 0.8313, decode.d8.loss_dice: 1.3209, loss: 34.4005 2022-04-29 05:16:57,447 - mmseg - INFO - Iter [17450/80000] lr: 1.123e-06, eta: 1 day, 8:04:20, time: 1.811, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9602, decode.loss_mask: 0.8329, decode.loss_dice: 1.2841, decode.d0.loss_cls: 3.2215, decode.d0.loss_mask: 0.8054, decode.d0.loss_dice: 1.4884, decode.d1.loss_cls: 1.0645, decode.d1.loss_mask: 0.8446, decode.d1.loss_dice: 1.3652, decode.d2.loss_cls: 0.9956, decode.d2.loss_mask: 0.8376, decode.d2.loss_dice: 1.3155, decode.d3.loss_cls: 0.9774, decode.d3.loss_mask: 0.8250, decode.d3.loss_dice: 1.2944, decode.d4.loss_cls: 0.9716, decode.d4.loss_mask: 0.8248, decode.d4.loss_dice: 1.2968, decode.d5.loss_cls: 0.9638, decode.d5.loss_mask: 0.8221, decode.d5.loss_dice: 1.2865, decode.d6.loss_cls: 0.9643, decode.d6.loss_mask: 0.8223, decode.d6.loss_dice: 1.2789, decode.d7.loss_cls: 0.9609, decode.d7.loss_mask: 0.8235, decode.d7.loss_dice: 1.2801, decode.d8.loss_cls: 0.9614, decode.d8.loss_mask: 0.8274, decode.d8.loss_dice: 1.2806, loss: 33.4771 2022-04-29 05:18:26,798 - mmseg - INFO - Iter [17500/80000] lr: 1.122e-06, eta: 1 day, 8:02:38, time: 1.787, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0068, decode.loss_mask: 0.8458, decode.loss_dice: 1.3309, decode.d0.loss_cls: 3.2193, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.5652, decode.d1.loss_cls: 1.1050, decode.d1.loss_mask: 0.8654, decode.d1.loss_dice: 1.4358, decode.d2.loss_cls: 1.0365, decode.d2.loss_mask: 0.8498, decode.d2.loss_dice: 1.3750, decode.d3.loss_cls: 1.0259, decode.d3.loss_mask: 0.8436, decode.d3.loss_dice: 1.3398, decode.d4.loss_cls: 1.0179, decode.d4.loss_mask: 0.8471, decode.d4.loss_dice: 1.3415, decode.d5.loss_cls: 1.0133, decode.d5.loss_mask: 0.8418, decode.d5.loss_dice: 1.3392, decode.d6.loss_cls: 1.0132, decode.d6.loss_mask: 0.8403, decode.d6.loss_dice: 1.3247, decode.d7.loss_cls: 1.0066, decode.d7.loss_mask: 0.8419, decode.d7.loss_dice: 1.3303, decode.d8.loss_cls: 0.9992, decode.d8.loss_mask: 0.8388, decode.d8.loss_dice: 1.3365, loss: 34.5837 2022-04-29 05:19:57,097 - mmseg - INFO - Iter [17550/80000] lr: 1.121e-06, eta: 1 day, 8:00:58, time: 1.806, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9622, decode.loss_mask: 0.8445, decode.loss_dice: 1.3178, decode.d0.loss_cls: 3.1724, decode.d0.loss_mask: 0.8288, decode.d0.loss_dice: 1.5292, decode.d1.loss_cls: 1.0574, decode.d1.loss_mask: 0.8760, decode.d1.loss_dice: 1.4064, decode.d2.loss_cls: 0.9913, decode.d2.loss_mask: 0.8611, decode.d2.loss_dice: 1.3519, decode.d3.loss_cls: 0.9884, decode.d3.loss_mask: 0.8511, decode.d3.loss_dice: 1.3232, decode.d4.loss_cls: 0.9852, decode.d4.loss_mask: 0.8450, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 0.9749, decode.d5.loss_mask: 0.8460, decode.d5.loss_dice: 1.3220, decode.d6.loss_cls: 0.9669, decode.d6.loss_mask: 0.8432, decode.d6.loss_dice: 1.3114, decode.d7.loss_cls: 0.9679, decode.d7.loss_mask: 0.8391, decode.d7.loss_dice: 1.3098, decode.d8.loss_cls: 0.9662, decode.d8.loss_mask: 0.8409, decode.d8.loss_dice: 1.3139, loss: 34.0141 2022-04-29 05:21:26,389 - mmseg - INFO - Iter [17600/80000] lr: 1.120e-06, eta: 1 day, 7:59:15, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9967, decode.loss_mask: 0.8238, decode.loss_dice: 1.2840, decode.d0.loss_cls: 3.1380, decode.d0.loss_mask: 0.7998, decode.d0.loss_dice: 1.5000, decode.d1.loss_cls: 1.0746, decode.d1.loss_mask: 0.8512, decode.d1.loss_dice: 1.3764, decode.d2.loss_cls: 1.0183, decode.d2.loss_mask: 0.8448, decode.d2.loss_dice: 1.3229, decode.d3.loss_cls: 1.0006, decode.d3.loss_mask: 0.8319, decode.d3.loss_dice: 1.3030, decode.d4.loss_cls: 0.9954, decode.d4.loss_mask: 0.8273, decode.d4.loss_dice: 1.3044, decode.d5.loss_cls: 0.9962, decode.d5.loss_mask: 0.8282, decode.d5.loss_dice: 1.2930, decode.d6.loss_cls: 0.9905, decode.d6.loss_mask: 0.8288, decode.d6.loss_dice: 1.2842, decode.d7.loss_cls: 0.9922, decode.d7.loss_mask: 0.8282, decode.d7.loss_dice: 1.2889, decode.d8.loss_cls: 0.9910, decode.d8.loss_mask: 0.8220, decode.d8.loss_dice: 1.2899, loss: 33.7265 2022-04-29 05:22:57,097 - mmseg - INFO - Iter [17650/80000] lr: 1.119e-06, eta: 1 day, 7:57:37, time: 1.814, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9483, decode.loss_mask: 0.8299, decode.loss_dice: 1.2842, decode.d0.loss_cls: 3.1603, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.5136, decode.d1.loss_cls: 1.0360, decode.d1.loss_mask: 0.8524, decode.d1.loss_dice: 1.3858, decode.d2.loss_cls: 0.9738, decode.d2.loss_mask: 0.8416, decode.d2.loss_dice: 1.3378, decode.d3.loss_cls: 0.9550, decode.d3.loss_mask: 0.8407, decode.d3.loss_dice: 1.3125, decode.d4.loss_cls: 0.9541, decode.d4.loss_mask: 0.8335, decode.d4.loss_dice: 1.3066, decode.d5.loss_cls: 0.9497, decode.d5.loss_mask: 0.8310, decode.d5.loss_dice: 1.3024, decode.d6.loss_cls: 0.9462, decode.d6.loss_mask: 0.8304, decode.d6.loss_dice: 1.2928, decode.d7.loss_cls: 0.9479, decode.d7.loss_mask: 0.8273, decode.d7.loss_dice: 1.2947, decode.d8.loss_cls: 0.9440, decode.d8.loss_mask: 0.8287, decode.d8.loss_dice: 1.2891, loss: 33.4520 2022-04-29 05:24:27,568 - mmseg - INFO - Iter [17700/80000] lr: 1.118e-06, eta: 1 day, 7:55:59, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0011, decode.loss_mask: 0.8052, decode.loss_dice: 1.3096, decode.d0.loss_cls: 3.2336, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.5364, decode.d1.loss_cls: 1.0905, decode.d1.loss_mask: 0.8220, decode.d1.loss_dice: 1.4061, decode.d2.loss_cls: 1.0186, decode.d2.loss_mask: 0.8128, decode.d2.loss_dice: 1.3534, decode.d3.loss_cls: 1.0081, decode.d3.loss_mask: 0.8100, decode.d3.loss_dice: 1.3220, decode.d4.loss_cls: 1.0040, decode.d4.loss_mask: 0.8069, decode.d4.loss_dice: 1.3328, decode.d5.loss_cls: 1.0083, decode.d5.loss_mask: 0.8004, decode.d5.loss_dice: 1.3256, decode.d6.loss_cls: 1.0026, decode.d6.loss_mask: 0.7994, decode.d6.loss_dice: 1.3085, decode.d7.loss_cls: 1.0013, decode.d7.loss_mask: 0.7990, decode.d7.loss_dice: 1.3138, decode.d8.loss_cls: 0.9994, decode.d8.loss_mask: 0.8015, decode.d8.loss_dice: 1.3111, loss: 33.9332 2022-04-29 05:25:57,700 - mmseg - INFO - Iter [17750/80000] lr: 1.117e-06, eta: 1 day, 7:54:19, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9650, decode.loss_mask: 0.8486, decode.loss_dice: 1.3110, decode.d0.loss_cls: 3.1977, decode.d0.loss_mask: 0.8221, decode.d0.loss_dice: 1.5273, decode.d1.loss_cls: 1.0637, decode.d1.loss_mask: 0.8797, decode.d1.loss_dice: 1.4063, decode.d2.loss_cls: 0.9952, decode.d2.loss_mask: 0.8533, decode.d2.loss_dice: 1.3627, decode.d3.loss_cls: 0.9869, decode.d3.loss_mask: 0.8456, decode.d3.loss_dice: 1.3234, decode.d4.loss_cls: 0.9765, decode.d4.loss_mask: 0.8579, decode.d4.loss_dice: 1.3223, decode.d5.loss_cls: 0.9778, decode.d5.loss_mask: 0.8491, decode.d5.loss_dice: 1.3113, decode.d6.loss_cls: 0.9758, decode.d6.loss_mask: 0.8465, decode.d6.loss_dice: 1.2930, decode.d7.loss_cls: 0.9758, decode.d7.loss_mask: 0.8472, decode.d7.loss_dice: 1.3025, decode.d8.loss_cls: 0.9717, decode.d8.loss_mask: 0.8478, decode.d8.loss_dice: 1.3053, loss: 34.0489 2022-04-29 05:27:27,997 - mmseg - INFO - Iter [17800/80000] lr: 1.116e-06, eta: 1 day, 7:52:40, time: 1.806, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9938, decode.loss_mask: 0.8313, decode.loss_dice: 1.2975, decode.d0.loss_cls: 3.1944, decode.d0.loss_mask: 0.8164, decode.d0.loss_dice: 1.5131, decode.d1.loss_cls: 1.0826, decode.d1.loss_mask: 0.8616, decode.d1.loss_dice: 1.3730, decode.d2.loss_cls: 1.0055, decode.d2.loss_mask: 0.8542, decode.d2.loss_dice: 1.3393, decode.d3.loss_cls: 1.0098, decode.d3.loss_mask: 0.8393, decode.d3.loss_dice: 1.3117, decode.d4.loss_cls: 1.0014, decode.d4.loss_mask: 0.8371, decode.d4.loss_dice: 1.3165, decode.d5.loss_cls: 0.9926, decode.d5.loss_mask: 0.8402, decode.d5.loss_dice: 1.3130, decode.d6.loss_cls: 0.9958, decode.d6.loss_mask: 0.8362, decode.d6.loss_dice: 1.2950, decode.d7.loss_cls: 0.9949, decode.d7.loss_mask: 0.8299, decode.d7.loss_dice: 1.2952, decode.d8.loss_cls: 0.9908, decode.d8.loss_mask: 0.8335, decode.d8.loss_dice: 1.2949, loss: 33.9903 2022-04-29 05:28:58,293 - mmseg - INFO - Iter [17850/80000] lr: 1.115e-06, eta: 1 day, 7:51:01, time: 1.804, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0508, decode.loss_mask: 0.8103, decode.loss_dice: 1.3133, decode.d0.loss_cls: 3.2293, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.5470, decode.d1.loss_cls: 1.1373, decode.d1.loss_mask: 0.8337, decode.d1.loss_dice: 1.4020, decode.d2.loss_cls: 1.0662, decode.d2.loss_mask: 0.8220, decode.d2.loss_dice: 1.3522, decode.d3.loss_cls: 1.0424, decode.d3.loss_mask: 0.8233, decode.d3.loss_dice: 1.3333, decode.d4.loss_cls: 1.0367, decode.d4.loss_mask: 0.8175, decode.d4.loss_dice: 1.3306, decode.d5.loss_cls: 1.0380, decode.d5.loss_mask: 0.8167, decode.d5.loss_dice: 1.3299, decode.d6.loss_cls: 1.0401, decode.d6.loss_mask: 0.8114, decode.d6.loss_dice: 1.3212, decode.d7.loss_cls: 1.0357, decode.d7.loss_mask: 0.8155, decode.d7.loss_dice: 1.3115, decode.d8.loss_cls: 1.0414, decode.d8.loss_mask: 0.8096, decode.d8.loss_dice: 1.3100, loss: 34.4263 2022-04-29 05:30:28,596 - mmseg - INFO - Iter [17900/80000] lr: 1.115e-06, eta: 1 day, 7:49:22, time: 1.808, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9280, decode.loss_mask: 0.8676, decode.loss_dice: 1.2563, decode.d0.loss_cls: 3.0560, decode.d0.loss_mask: 0.8459, decode.d0.loss_dice: 1.4552, decode.d1.loss_cls: 1.0238, decode.d1.loss_mask: 0.8853, decode.d1.loss_dice: 1.3386, decode.d2.loss_cls: 0.9561, decode.d2.loss_mask: 0.8750, decode.d2.loss_dice: 1.2879, decode.d3.loss_cls: 0.9387, decode.d3.loss_mask: 0.8680, decode.d3.loss_dice: 1.2714, decode.d4.loss_cls: 0.9359, decode.d4.loss_mask: 0.8621, decode.d4.loss_dice: 1.2669, decode.d5.loss_cls: 0.9309, decode.d5.loss_mask: 0.8610, decode.d5.loss_dice: 1.2584, decode.d6.loss_cls: 0.9289, decode.d6.loss_mask: 0.8633, decode.d6.loss_dice: 1.2518, decode.d7.loss_cls: 0.9263, decode.d7.loss_mask: 0.8654, decode.d7.loss_dice: 1.2604, decode.d8.loss_cls: 0.9265, decode.d8.loss_mask: 0.8616, decode.d8.loss_dice: 1.2572, loss: 33.1103 2022-04-29 05:31:58,542 - mmseg - INFO - Iter [17950/80000] lr: 1.114e-06, eta: 1 day, 7:47:42, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9870, decode.loss_mask: 0.8293, decode.loss_dice: 1.2957, decode.d0.loss_cls: 3.1503, decode.d0.loss_mask: 0.8104, decode.d0.loss_dice: 1.4913, decode.d1.loss_cls: 1.0637, decode.d1.loss_mask: 0.8484, decode.d1.loss_dice: 1.3830, decode.d2.loss_cls: 1.0009, decode.d2.loss_mask: 0.8384, decode.d2.loss_dice: 1.3353, decode.d3.loss_cls: 0.9848, decode.d3.loss_mask: 0.8320, decode.d3.loss_dice: 1.3106, decode.d4.loss_cls: 0.9806, decode.d4.loss_mask: 0.8335, decode.d4.loss_dice: 1.3104, decode.d5.loss_cls: 0.9875, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.3021, decode.d6.loss_cls: 0.9860, decode.d6.loss_mask: 0.8253, decode.d6.loss_dice: 1.2875, decode.d7.loss_cls: 0.9851, decode.d7.loss_mask: 0.8315, decode.d7.loss_dice: 1.2941, decode.d8.loss_cls: 0.9854, decode.d8.loss_mask: 0.8277, decode.d8.loss_dice: 1.2909, loss: 33.7169 2022-04-29 05:33:28,033 - mmseg - INFO - Saving checkpoint at 18000 iterations 2022-04-29 05:33:56,914 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 05:33:56,918 - mmseg - INFO - Iter [18000/80000] lr: 1.113e-06, eta: 1 day, 7:47:39, time: 2.365, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0416, decode.loss_mask: 0.8180, decode.loss_dice: 1.3161, decode.d0.loss_cls: 3.2193, decode.d0.loss_mask: 0.8139, decode.d0.loss_dice: 1.5451, decode.d1.loss_cls: 1.1312, decode.d1.loss_mask: 0.8530, decode.d1.loss_dice: 1.4104, decode.d2.loss_cls: 1.0561, decode.d2.loss_mask: 0.8354, decode.d2.loss_dice: 1.3605, decode.d3.loss_cls: 1.0460, decode.d3.loss_mask: 0.8328, decode.d3.loss_dice: 1.3347, decode.d4.loss_cls: 1.0313, decode.d4.loss_mask: 0.8367, decode.d4.loss_dice: 1.3336, decode.d5.loss_cls: 1.0415, decode.d5.loss_mask: 0.8243, decode.d5.loss_dice: 1.3225, decode.d6.loss_cls: 1.0345, decode.d6.loss_mask: 0.8219, decode.d6.loss_dice: 1.3094, decode.d7.loss_cls: 1.0351, decode.d7.loss_mask: 0.8229, decode.d7.loss_dice: 1.3150, decode.d8.loss_cls: 1.0364, decode.d8.loss_mask: 0.8221, decode.d8.loss_dice: 1.3106, loss: 34.5121 2022-04-29 05:35:26,451 - mmseg - INFO - Iter [18050/80000] lr: 1.112e-06, eta: 1 day, 7:45:58, time: 1.793, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9777, decode.loss_mask: 0.8427, decode.loss_dice: 1.2861, decode.d0.loss_cls: 3.1129, decode.d0.loss_mask: 0.8339, decode.d0.loss_dice: 1.5009, decode.d1.loss_cls: 1.0608, decode.d1.loss_mask: 0.8757, decode.d1.loss_dice: 1.3711, decode.d2.loss_cls: 0.9985, decode.d2.loss_mask: 0.8517, decode.d2.loss_dice: 1.3248, decode.d3.loss_cls: 0.9939, decode.d3.loss_mask: 0.8421, decode.d3.loss_dice: 1.3068, decode.d4.loss_cls: 0.9896, decode.d4.loss_mask: 0.8403, decode.d4.loss_dice: 1.2987, decode.d5.loss_cls: 0.9843, decode.d5.loss_mask: 0.8486, decode.d5.loss_dice: 1.2892, decode.d6.loss_cls: 0.9834, decode.d6.loss_mask: 0.8388, decode.d6.loss_dice: 1.2823, decode.d7.loss_cls: 0.9737, decode.d7.loss_mask: 0.8443, decode.d7.loss_dice: 1.2845, decode.d8.loss_cls: 0.9768, decode.d8.loss_mask: 0.8422, decode.d8.loss_dice: 1.2857, loss: 33.7421 2022-04-29 05:36:55,300 - mmseg - INFO - Iter [18100/80000] lr: 1.111e-06, eta: 1 day, 7:44:14, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9482, decode.loss_mask: 0.8495, decode.loss_dice: 1.2805, decode.d0.loss_cls: 3.1280, decode.d0.loss_mask: 0.8249, decode.d0.loss_dice: 1.4768, decode.d1.loss_cls: 1.0360, decode.d1.loss_mask: 0.8684, decode.d1.loss_dice: 1.3659, decode.d2.loss_cls: 0.9728, decode.d2.loss_mask: 0.8657, decode.d2.loss_dice: 1.3151, decode.d3.loss_cls: 0.9594, decode.d3.loss_mask: 0.8620, decode.d3.loss_dice: 1.2887, decode.d4.loss_cls: 0.9526, decode.d4.loss_mask: 0.8573, decode.d4.loss_dice: 1.2940, decode.d5.loss_cls: 0.9455, decode.d5.loss_mask: 0.8602, decode.d5.loss_dice: 1.2921, decode.d6.loss_cls: 0.9442, decode.d6.loss_mask: 0.8548, decode.d6.loss_dice: 1.2732, decode.d7.loss_cls: 0.9515, decode.d7.loss_mask: 0.8575, decode.d7.loss_dice: 1.2789, decode.d8.loss_cls: 0.9454, decode.d8.loss_mask: 0.8529, decode.d8.loss_dice: 1.2835, loss: 33.4856 2022-04-29 05:38:25,454 - mmseg - INFO - Iter [18150/80000] lr: 1.110e-06, eta: 1 day, 7:42:34, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9463, decode.loss_mask: 0.7974, decode.loss_dice: 1.2824, decode.d0.loss_cls: 3.1427, decode.d0.loss_mask: 0.7734, decode.d0.loss_dice: 1.4825, decode.d1.loss_cls: 1.0522, decode.d1.loss_mask: 0.8166, decode.d1.loss_dice: 1.3634, decode.d2.loss_cls: 0.9796, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.3105, decode.d3.loss_cls: 0.9576, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.2943, decode.d4.loss_cls: 0.9573, decode.d4.loss_mask: 0.7991, decode.d4.loss_dice: 1.2891, decode.d5.loss_cls: 0.9490, decode.d5.loss_mask: 0.7943, decode.d5.loss_dice: 1.2898, decode.d6.loss_cls: 0.9499, decode.d6.loss_mask: 0.7951, decode.d6.loss_dice: 1.2723, decode.d7.loss_cls: 0.9506, decode.d7.loss_mask: 0.7982, decode.d7.loss_dice: 1.2828, decode.d8.loss_cls: 0.9475, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.2771, loss: 32.9445 2022-04-29 05:39:54,608 - mmseg - INFO - Iter [18200/80000] lr: 1.109e-06, eta: 1 day, 7:40:51, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9926, decode.loss_mask: 0.8606, decode.loss_dice: 1.3051, decode.d0.loss_cls: 3.1376, decode.d0.loss_mask: 0.8350, decode.d0.loss_dice: 1.5024, decode.d1.loss_cls: 1.0789, decode.d1.loss_mask: 0.8817, decode.d1.loss_dice: 1.3876, decode.d2.loss_cls: 1.0281, decode.d2.loss_mask: 0.8683, decode.d2.loss_dice: 1.3404, decode.d3.loss_cls: 1.0031, decode.d3.loss_mask: 0.8669, decode.d3.loss_dice: 1.3222, decode.d4.loss_cls: 0.9923, decode.d4.loss_mask: 0.8690, decode.d4.loss_dice: 1.3049, decode.d5.loss_cls: 1.0001, decode.d5.loss_mask: 0.8587, decode.d5.loss_dice: 1.3005, decode.d6.loss_cls: 0.9923, decode.d6.loss_mask: 0.8595, decode.d6.loss_dice: 1.2913, decode.d7.loss_cls: 0.9908, decode.d7.loss_mask: 0.8582, decode.d7.loss_dice: 1.2948, decode.d8.loss_cls: 0.9901, decode.d8.loss_mask: 0.8605, decode.d8.loss_dice: 1.2976, loss: 34.1712 2022-04-29 05:41:23,847 - mmseg - INFO - Iter [18250/80000] lr: 1.108e-06, eta: 1 day, 7:39:08, time: 1.783, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9673, decode.loss_mask: 0.8402, decode.loss_dice: 1.2940, decode.d0.loss_cls: 3.1253, decode.d0.loss_mask: 0.8182, decode.d0.loss_dice: 1.5118, decode.d1.loss_cls: 1.0598, decode.d1.loss_mask: 0.8688, decode.d1.loss_dice: 1.3816, decode.d2.loss_cls: 0.9787, decode.d2.loss_mask: 0.8586, decode.d2.loss_dice: 1.3300, decode.d3.loss_cls: 0.9677, decode.d3.loss_mask: 0.8443, decode.d3.loss_dice: 1.3113, decode.d4.loss_cls: 0.9656, decode.d4.loss_mask: 0.8457, decode.d4.loss_dice: 1.3135, decode.d5.loss_cls: 0.9647, decode.d5.loss_mask: 0.8465, decode.d5.loss_dice: 1.3016, decode.d6.loss_cls: 0.9654, decode.d6.loss_mask: 0.8442, decode.d6.loss_dice: 1.2915, decode.d7.loss_cls: 0.9649, decode.d7.loss_mask: 0.8417, decode.d7.loss_dice: 1.2903, decode.d8.loss_cls: 0.9637, decode.d8.loss_mask: 0.8420, decode.d8.loss_dice: 1.2923, loss: 33.6911 2022-04-29 05:42:52,755 - mmseg - INFO - Iter [18300/80000] lr: 1.107e-06, eta: 1 day, 7:37:25, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9593, decode.loss_mask: 0.8177, decode.loss_dice: 1.3034, decode.d0.loss_cls: 3.1495, decode.d0.loss_mask: 0.7999, decode.d0.loss_dice: 1.5098, decode.d1.loss_cls: 1.0509, decode.d1.loss_mask: 0.8402, decode.d1.loss_dice: 1.3954, decode.d2.loss_cls: 0.9936, decode.d2.loss_mask: 0.8248, decode.d2.loss_dice: 1.3471, decode.d3.loss_cls: 0.9777, decode.d3.loss_mask: 0.8168, decode.d3.loss_dice: 1.3249, decode.d4.loss_cls: 0.9643, decode.d4.loss_mask: 0.8175, decode.d4.loss_dice: 1.3209, decode.d5.loss_cls: 0.9563, decode.d5.loss_mask: 0.8217, decode.d5.loss_dice: 1.3165, decode.d6.loss_cls: 0.9591, decode.d6.loss_mask: 0.8122, decode.d6.loss_dice: 1.2948, decode.d7.loss_cls: 0.9586, decode.d7.loss_mask: 0.8173, decode.d7.loss_dice: 1.3040, decode.d8.loss_cls: 0.9555, decode.d8.loss_mask: 0.8188, decode.d8.loss_dice: 1.3019, loss: 33.5302 2022-04-29 05:44:22,206 - mmseg - INFO - Iter [18350/80000] lr: 1.106e-06, eta: 1 day, 7:35:43, time: 1.789, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9484, decode.loss_mask: 0.8428, decode.loss_dice: 1.2809, decode.d0.loss_cls: 3.1161, decode.d0.loss_mask: 0.8192, decode.d0.loss_dice: 1.4951, decode.d1.loss_cls: 1.0427, decode.d1.loss_mask: 0.8633, decode.d1.loss_dice: 1.3702, decode.d2.loss_cls: 0.9858, decode.d2.loss_mask: 0.8532, decode.d2.loss_dice: 1.3134, decode.d3.loss_cls: 0.9686, decode.d3.loss_mask: 0.8468, decode.d3.loss_dice: 1.2980, decode.d4.loss_cls: 0.9604, decode.d4.loss_mask: 0.8422, decode.d4.loss_dice: 1.2952, decode.d5.loss_cls: 0.9603, decode.d5.loss_mask: 0.8416, decode.d5.loss_dice: 1.2935, decode.d6.loss_cls: 0.9572, decode.d6.loss_mask: 0.8368, decode.d6.loss_dice: 1.2774, decode.d7.loss_cls: 0.9535, decode.d7.loss_mask: 0.8401, decode.d7.loss_dice: 1.2883, decode.d8.loss_cls: 0.9490, decode.d8.loss_mask: 0.8444, decode.d8.loss_dice: 1.2823, loss: 33.4669 2022-04-29 05:45:51,393 - mmseg - INFO - Iter [18400/80000] lr: 1.106e-06, eta: 1 day, 7:34:01, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9415, decode.loss_mask: 0.8267, decode.loss_dice: 1.3226, decode.d0.loss_cls: 3.1178, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.5328, decode.d1.loss_cls: 1.0343, decode.d1.loss_mask: 0.8494, decode.d1.loss_dice: 1.4103, decode.d2.loss_cls: 0.9701, decode.d2.loss_mask: 0.8395, decode.d2.loss_dice: 1.3645, decode.d3.loss_cls: 0.9621, decode.d3.loss_mask: 0.8342, decode.d3.loss_dice: 1.3401, decode.d4.loss_cls: 0.9546, decode.d4.loss_mask: 0.8361, decode.d4.loss_dice: 1.3305, decode.d5.loss_cls: 0.9500, decode.d5.loss_mask: 0.8301, decode.d5.loss_dice: 1.3369, decode.d6.loss_cls: 0.9409, decode.d6.loss_mask: 0.8324, decode.d6.loss_dice: 1.3232, decode.d7.loss_cls: 0.9458, decode.d7.loss_mask: 0.8306, decode.d7.loss_dice: 1.3297, decode.d8.loss_cls: 0.9371, decode.d8.loss_mask: 0.8285, decode.d8.loss_dice: 1.3287, loss: 33.6877 2022-04-29 05:47:20,372 - mmseg - INFO - Iter [18450/80000] lr: 1.105e-06, eta: 1 day, 7:32:18, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0001, decode.loss_mask: 0.8182, decode.loss_dice: 1.2792, decode.d0.loss_cls: 3.1425, decode.d0.loss_mask: 0.8014, decode.d0.loss_dice: 1.5034, decode.d1.loss_cls: 1.1013, decode.d1.loss_mask: 0.8391, decode.d1.loss_dice: 1.3581, decode.d2.loss_cls: 1.0329, decode.d2.loss_mask: 0.8273, decode.d2.loss_dice: 1.3127, decode.d3.loss_cls: 1.0075, decode.d3.loss_mask: 0.8202, decode.d3.loss_dice: 1.2925, decode.d4.loss_cls: 1.0073, decode.d4.loss_mask: 0.8190, decode.d4.loss_dice: 1.2834, decode.d5.loss_cls: 1.0016, decode.d5.loss_mask: 0.8130, decode.d5.loss_dice: 1.2845, decode.d6.loss_cls: 1.0010, decode.d6.loss_mask: 0.8136, decode.d6.loss_dice: 1.2700, decode.d7.loss_cls: 1.0023, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.2768, decode.d8.loss_cls: 1.0016, decode.d8.loss_mask: 0.8149, decode.d8.loss_dice: 1.2819, loss: 33.6226 2022-04-29 05:48:49,453 - mmseg - INFO - Iter [18500/80000] lr: 1.104e-06, eta: 1 day, 7:30:35, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9179, decode.loss_mask: 0.8174, decode.loss_dice: 1.2874, decode.d0.loss_cls: 3.1152, decode.d0.loss_mask: 0.7873, decode.d0.loss_dice: 1.4937, decode.d1.loss_cls: 1.0243, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.3689, decode.d2.loss_cls: 0.9496, decode.d2.loss_mask: 0.8260, decode.d2.loss_dice: 1.3195, decode.d3.loss_cls: 0.9301, decode.d3.loss_mask: 0.8253, decode.d3.loss_dice: 1.3026, decode.d4.loss_cls: 0.9314, decode.d4.loss_mask: 0.8218, decode.d4.loss_dice: 1.3012, decode.d5.loss_cls: 0.9171, decode.d5.loss_mask: 0.8190, decode.d5.loss_dice: 1.2991, decode.d6.loss_cls: 0.9183, decode.d6.loss_mask: 0.8191, decode.d6.loss_dice: 1.2857, decode.d7.loss_cls: 0.9178, decode.d7.loss_mask: 0.8136, decode.d7.loss_dice: 1.2851, decode.d8.loss_cls: 0.9114, decode.d8.loss_mask: 0.8231, decode.d8.loss_dice: 1.2922, loss: 32.9536 2022-04-29 05:50:19,698 - mmseg - INFO - Iter [18550/80000] lr: 1.103e-06, eta: 1 day, 7:28:56, time: 1.803, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9881, decode.loss_mask: 0.8300, decode.loss_dice: 1.2961, decode.d0.loss_cls: 3.1359, decode.d0.loss_mask: 0.8105, decode.d0.loss_dice: 1.5195, decode.d1.loss_cls: 1.0759, decode.d1.loss_mask: 0.8550, decode.d1.loss_dice: 1.3853, decode.d2.loss_cls: 1.0102, decode.d2.loss_mask: 0.8417, decode.d2.loss_dice: 1.3342, decode.d3.loss_cls: 0.9958, decode.d3.loss_mask: 0.8335, decode.d3.loss_dice: 1.3109, decode.d4.loss_cls: 0.9963, decode.d4.loss_mask: 0.8376, decode.d4.loss_dice: 1.3012, decode.d5.loss_cls: 0.9920, decode.d5.loss_mask: 0.8279, decode.d5.loss_dice: 1.3045, decode.d6.loss_cls: 0.9982, decode.d6.loss_mask: 0.8288, decode.d6.loss_dice: 1.2983, decode.d7.loss_cls: 0.9954, decode.d7.loss_mask: 0.8269, decode.d7.loss_dice: 1.2988, decode.d8.loss_cls: 0.9942, decode.d8.loss_mask: 0.8303, decode.d8.loss_dice: 1.2976, loss: 33.8506 2022-04-29 05:51:48,749 - mmseg - INFO - Iter [18600/80000] lr: 1.102e-06, eta: 1 day, 7:27:14, time: 1.783, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9879, decode.loss_mask: 0.8294, decode.loss_dice: 1.2764, decode.d0.loss_cls: 3.1209, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.4920, decode.d1.loss_cls: 1.0812, decode.d1.loss_mask: 0.8514, decode.d1.loss_dice: 1.3627, decode.d2.loss_cls: 1.0085, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.3180, decode.d3.loss_cls: 0.9998, decode.d3.loss_mask: 0.8365, decode.d3.loss_dice: 1.2840, decode.d4.loss_cls: 0.9900, decode.d4.loss_mask: 0.8321, decode.d4.loss_dice: 1.2955, decode.d5.loss_cls: 0.9888, decode.d5.loss_mask: 0.8373, decode.d5.loss_dice: 1.2853, decode.d6.loss_cls: 0.9886, decode.d6.loss_mask: 0.8336, decode.d6.loss_dice: 1.2761, decode.d7.loss_cls: 0.9844, decode.d7.loss_mask: 0.8334, decode.d7.loss_dice: 1.2796, decode.d8.loss_cls: 0.9839, decode.d8.loss_mask: 0.8272, decode.d8.loss_dice: 1.2754, loss: 33.6088 2022-04-29 05:53:19,095 - mmseg - INFO - Iter [18650/80000] lr: 1.101e-06, eta: 1 day, 7:25:35, time: 1.807, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9642, decode.loss_mask: 0.8312, decode.loss_dice: 1.2839, decode.d0.loss_cls: 3.0784, decode.d0.loss_mask: 0.8137, decode.d0.loss_dice: 1.4898, decode.d1.loss_cls: 1.0536, decode.d1.loss_mask: 0.8546, decode.d1.loss_dice: 1.3657, decode.d2.loss_cls: 0.9984, decode.d2.loss_mask: 0.8412, decode.d2.loss_dice: 1.3090, decode.d3.loss_cls: 0.9747, decode.d3.loss_mask: 0.8395, decode.d3.loss_dice: 1.2953, decode.d4.loss_cls: 0.9747, decode.d4.loss_mask: 0.8368, decode.d4.loss_dice: 1.2965, decode.d5.loss_cls: 0.9703, decode.d5.loss_mask: 0.8326, decode.d5.loss_dice: 1.2884, decode.d6.loss_cls: 0.9600, decode.d6.loss_mask: 0.8373, decode.d6.loss_dice: 1.2794, decode.d7.loss_cls: 0.9547, decode.d7.loss_mask: 0.8323, decode.d7.loss_dice: 1.2801, decode.d8.loss_cls: 0.9513, decode.d8.loss_mask: 0.8329, decode.d8.loss_dice: 1.2813, loss: 33.4018 2022-04-29 05:54:48,656 - mmseg - INFO - Iter [18700/80000] lr: 1.100e-06, eta: 1 day, 7:23:54, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9665, decode.loss_mask: 0.8165, decode.loss_dice: 1.2922, decode.d0.loss_cls: 3.0716, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.4843, decode.d1.loss_cls: 1.0481, decode.d1.loss_mask: 0.8378, decode.d1.loss_dice: 1.3675, decode.d2.loss_cls: 0.9961, decode.d2.loss_mask: 0.8248, decode.d2.loss_dice: 1.3193, decode.d3.loss_cls: 0.9839, decode.d3.loss_mask: 0.8215, decode.d3.loss_dice: 1.2865, decode.d4.loss_cls: 0.9754, decode.d4.loss_mask: 0.8221, decode.d4.loss_dice: 1.2899, decode.d5.loss_cls: 0.9652, decode.d5.loss_mask: 0.8250, decode.d5.loss_dice: 1.2889, decode.d6.loss_cls: 0.9644, decode.d6.loss_mask: 0.8177, decode.d6.loss_dice: 1.2854, decode.d7.loss_cls: 0.9646, decode.d7.loss_mask: 0.8205, decode.d7.loss_dice: 1.2849, decode.d8.loss_cls: 0.9678, decode.d8.loss_mask: 0.8161, decode.d8.loss_dice: 1.2881, loss: 33.2917 2022-04-29 05:56:17,187 - mmseg - INFO - Iter [18750/80000] lr: 1.099e-06, eta: 1 day, 7:22:10, time: 1.770, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9530, decode.loss_mask: 0.8347, decode.loss_dice: 1.2996, decode.d0.loss_cls: 3.0726, decode.d0.loss_mask: 0.8126, decode.d0.loss_dice: 1.4993, decode.d1.loss_cls: 1.0318, decode.d1.loss_mask: 0.8629, decode.d1.loss_dice: 1.3887, decode.d2.loss_cls: 0.9738, decode.d2.loss_mask: 0.8450, decode.d2.loss_dice: 1.3466, decode.d3.loss_cls: 0.9650, decode.d3.loss_mask: 0.8390, decode.d3.loss_dice: 1.3133, decode.d4.loss_cls: 0.9569, decode.d4.loss_mask: 0.8407, decode.d4.loss_dice: 1.3118, decode.d5.loss_cls: 0.9500, decode.d5.loss_mask: 0.8392, decode.d5.loss_dice: 1.3121, decode.d6.loss_cls: 0.9489, decode.d6.loss_mask: 0.8388, decode.d6.loss_dice: 1.2970, decode.d7.loss_cls: 0.9501, decode.d7.loss_mask: 0.8327, decode.d7.loss_dice: 1.3031, decode.d8.loss_cls: 0.9470, decode.d8.loss_mask: 0.8381, decode.d8.loss_dice: 1.2995, loss: 33.5040 2022-04-29 05:57:47,304 - mmseg - INFO - Iter [18800/80000] lr: 1.098e-06, eta: 1 day, 7:20:31, time: 1.802, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9218, decode.loss_mask: 0.8480, decode.loss_dice: 1.2905, decode.d0.loss_cls: 3.0193, decode.d0.loss_mask: 0.8315, decode.d0.loss_dice: 1.5005, decode.d1.loss_cls: 1.0097, decode.d1.loss_mask: 0.8737, decode.d1.loss_dice: 1.3804, decode.d2.loss_cls: 0.9485, decode.d2.loss_mask: 0.8572, decode.d2.loss_dice: 1.3249, decode.d3.loss_cls: 0.9332, decode.d3.loss_mask: 0.8502, decode.d3.loss_dice: 1.3029, decode.d4.loss_cls: 0.9243, decode.d4.loss_mask: 0.8531, decode.d4.loss_dice: 1.2988, decode.d5.loss_cls: 0.9247, decode.d5.loss_mask: 0.8480, decode.d5.loss_dice: 1.2978, decode.d6.loss_cls: 0.9224, decode.d6.loss_mask: 0.8479, decode.d6.loss_dice: 1.2879, decode.d7.loss_cls: 0.9245, decode.d7.loss_mask: 0.8527, decode.d7.loss_dice: 1.2904, decode.d8.loss_cls: 0.9184, decode.d8.loss_mask: 0.8526, decode.d8.loss_dice: 1.2911, loss: 33.2267 2022-04-29 05:59:17,140 - mmseg - INFO - Iter [18850/80000] lr: 1.098e-06, eta: 1 day, 7:18:51, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9618, decode.loss_mask: 0.8098, decode.loss_dice: 1.3005, decode.d0.loss_cls: 3.1024, decode.d0.loss_mask: 0.7823, decode.d0.loss_dice: 1.4954, decode.d1.loss_cls: 1.0406, decode.d1.loss_mask: 0.8301, decode.d1.loss_dice: 1.3834, decode.d2.loss_cls: 0.9758, decode.d2.loss_mask: 0.8119, decode.d2.loss_dice: 1.3361, decode.d3.loss_cls: 0.9548, decode.d3.loss_mask: 0.8088, decode.d3.loss_dice: 1.3228, decode.d4.loss_cls: 0.9545, decode.d4.loss_mask: 0.8105, decode.d4.loss_dice: 1.3190, decode.d5.loss_cls: 0.9511, decode.d5.loss_mask: 0.8113, decode.d5.loss_dice: 1.3077, decode.d6.loss_cls: 0.9463, decode.d6.loss_mask: 0.8127, decode.d6.loss_dice: 1.2993, decode.d7.loss_cls: 0.9522, decode.d7.loss_mask: 0.8152, decode.d7.loss_dice: 1.2983, decode.d8.loss_cls: 0.9503, decode.d8.loss_mask: 0.8089, decode.d8.loss_dice: 1.3015, loss: 33.2554 2022-04-29 06:00:49,498 - mmseg - INFO - Iter [18900/80000] lr: 1.097e-06, eta: 1 day, 7:17:20, time: 1.846, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9540, decode.loss_mask: 0.8322, decode.loss_dice: 1.2871, decode.d0.loss_cls: 3.0982, decode.d0.loss_mask: 0.8232, decode.d0.loss_dice: 1.4895, decode.d1.loss_cls: 1.0520, decode.d1.loss_mask: 0.8580, decode.d1.loss_dice: 1.3735, decode.d2.loss_cls: 0.9830, decode.d2.loss_mask: 0.8414, decode.d2.loss_dice: 1.3183, decode.d3.loss_cls: 0.9647, decode.d3.loss_mask: 0.8473, decode.d3.loss_dice: 1.3009, decode.d4.loss_cls: 0.9654, decode.d4.loss_mask: 0.8335, decode.d4.loss_dice: 1.3094, decode.d5.loss_cls: 0.9587, decode.d5.loss_mask: 0.8424, decode.d5.loss_dice: 1.2967, decode.d6.loss_cls: 0.9585, decode.d6.loss_mask: 0.8353, decode.d6.loss_dice: 1.2827, decode.d7.loss_cls: 0.9568, decode.d7.loss_mask: 0.8401, decode.d7.loss_dice: 1.2853, decode.d8.loss_cls: 0.9641, decode.d8.loss_mask: 0.8310, decode.d8.loss_dice: 1.2882, loss: 33.4712 2022-04-29 06:02:19,084 - mmseg - INFO - Iter [18950/80000] lr: 1.096e-06, eta: 1 day, 7:15:39, time: 1.793, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9600, decode.loss_mask: 0.8289, decode.loss_dice: 1.2716, decode.d0.loss_cls: 3.1059, decode.d0.loss_mask: 0.8135, decode.d0.loss_dice: 1.4829, decode.d1.loss_cls: 1.0565, decode.d1.loss_mask: 0.8537, decode.d1.loss_dice: 1.3523, decode.d2.loss_cls: 0.9834, decode.d2.loss_mask: 0.8430, decode.d2.loss_dice: 1.3012, decode.d3.loss_cls: 0.9661, decode.d3.loss_mask: 0.8376, decode.d3.loss_dice: 1.2860, decode.d4.loss_cls: 0.9584, decode.d4.loss_mask: 0.8367, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 0.9619, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.2814, decode.d6.loss_cls: 0.9509, decode.d6.loss_mask: 0.8307, decode.d6.loss_dice: 1.2743, decode.d7.loss_cls: 0.9537, decode.d7.loss_mask: 0.8318, decode.d7.loss_dice: 1.2671, decode.d8.loss_cls: 0.9511, decode.d8.loss_mask: 0.8307, decode.d8.loss_dice: 1.2680, loss: 33.2504 2022-04-29 06:03:48,416 - mmseg - INFO - Saving checkpoint at 19000 iterations 2022-04-29 06:04:07,553 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 06:04:07,561 - mmseg - INFO - Iter [19000/80000] lr: 1.095e-06, eta: 1 day, 7:14:59, time: 2.168, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0155, decode.loss_mask: 0.7984, decode.loss_dice: 1.3012, decode.d0.loss_cls: 3.1919, decode.d0.loss_mask: 0.7819, decode.d0.loss_dice: 1.5386, decode.d1.loss_cls: 1.1146, decode.d1.loss_mask: 0.8263, decode.d1.loss_dice: 1.3970, decode.d2.loss_cls: 1.0433, decode.d2.loss_mask: 0.8097, decode.d2.loss_dice: 1.3437, decode.d3.loss_cls: 1.0273, decode.d3.loss_mask: 0.8005, decode.d3.loss_dice: 1.3107, decode.d4.loss_cls: 1.0231, decode.d4.loss_mask: 0.8014, decode.d4.loss_dice: 1.3121, decode.d5.loss_cls: 1.0155, decode.d5.loss_mask: 0.8034, decode.d5.loss_dice: 1.3150, decode.d6.loss_cls: 1.0108, decode.d6.loss_mask: 0.7962, decode.d6.loss_dice: 1.2965, decode.d7.loss_cls: 1.0096, decode.d7.loss_mask: 0.7940, decode.d7.loss_dice: 1.3056, decode.d8.loss_cls: 1.0153, decode.d8.loss_mask: 0.7966, decode.d8.loss_dice: 1.3056, loss: 33.9013 2022-04-29 06:05:38,085 - mmseg - INFO - Iter [19050/80000] lr: 1.094e-06, eta: 1 day, 7:13:22, time: 1.812, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9807, decode.loss_mask: 0.8088, decode.loss_dice: 1.2987, decode.d0.loss_cls: 3.1131, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.5124, decode.d1.loss_cls: 1.0641, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.3849, decode.d2.loss_cls: 1.0042, decode.d2.loss_mask: 0.8250, decode.d2.loss_dice: 1.3347, decode.d3.loss_cls: 0.9899, decode.d3.loss_mask: 0.8190, decode.d3.loss_dice: 1.3170, decode.d4.loss_cls: 0.9857, decode.d4.loss_mask: 0.8144, decode.d4.loss_dice: 1.3152, decode.d5.loss_cls: 0.9814, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.3128, decode.d6.loss_cls: 0.9811, decode.d6.loss_mask: 0.8101, decode.d6.loss_dice: 1.2994, decode.d7.loss_cls: 0.9824, decode.d7.loss_mask: 0.8102, decode.d7.loss_dice: 1.3024, decode.d8.loss_cls: 0.9740, decode.d8.loss_mask: 0.8108, decode.d8.loss_dice: 1.3044, loss: 33.5713 2022-04-29 06:07:06,867 - mmseg - INFO - Iter [19100/80000] lr: 1.093e-06, eta: 1 day, 7:11:39, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9321, decode.loss_mask: 0.8135, decode.loss_dice: 1.2428, decode.d0.loss_cls: 3.0806, decode.d0.loss_mask: 0.8000, decode.d0.loss_dice: 1.4672, decode.d1.loss_cls: 1.0190, decode.d1.loss_mask: 0.8396, decode.d1.loss_dice: 1.3430, decode.d2.loss_cls: 0.9594, decode.d2.loss_mask: 0.8240, decode.d2.loss_dice: 1.2921, decode.d3.loss_cls: 0.9468, decode.d3.loss_mask: 0.8138, decode.d3.loss_dice: 1.2683, decode.d4.loss_cls: 0.9413, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2637, decode.d5.loss_cls: 0.9397, decode.d5.loss_mask: 0.8144, decode.d5.loss_dice: 1.2550, decode.d6.loss_cls: 0.9234, decode.d6.loss_mask: 0.8152, decode.d6.loss_dice: 1.2528, decode.d7.loss_cls: 0.9309, decode.d7.loss_mask: 0.8206, decode.d7.loss_dice: 1.2533, decode.d8.loss_cls: 0.9302, decode.d8.loss_mask: 0.8141, decode.d8.loss_dice: 1.2498, loss: 32.6636 2022-04-29 06:08:35,784 - mmseg - INFO - Iter [19150/80000] lr: 1.092e-06, eta: 1 day, 7:09:56, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9225, decode.loss_mask: 0.8004, decode.loss_dice: 1.2601, decode.d0.loss_cls: 2.9961, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.4619, decode.d1.loss_cls: 1.0019, decode.d1.loss_mask: 0.8309, decode.d1.loss_dice: 1.3610, decode.d2.loss_cls: 0.9490, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.3015, decode.d3.loss_cls: 0.9336, decode.d3.loss_mask: 0.8012, decode.d3.loss_dice: 1.2751, decode.d4.loss_cls: 0.9333, decode.d4.loss_mask: 0.8040, decode.d4.loss_dice: 1.2760, decode.d5.loss_cls: 0.9247, decode.d5.loss_mask: 0.7977, decode.d5.loss_dice: 1.2693, decode.d6.loss_cls: 0.9170, decode.d6.loss_mask: 0.8028, decode.d6.loss_dice: 1.2590, decode.d7.loss_cls: 0.9188, decode.d7.loss_mask: 0.8010, decode.d7.loss_dice: 1.2600, decode.d8.loss_cls: 0.9206, decode.d8.loss_mask: 0.8027, decode.d8.loss_dice: 1.2574, loss: 32.4358 2022-04-29 06:10:04,872 - mmseg - INFO - Iter [19200/80000] lr: 1.091e-06, eta: 1 day, 7:08:14, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0062, decode.loss_mask: 0.8288, decode.loss_dice: 1.2985, decode.d0.loss_cls: 3.1243, decode.d0.loss_mask: 0.8040, decode.d0.loss_dice: 1.5177, decode.d1.loss_cls: 1.1045, decode.d1.loss_mask: 0.8476, decode.d1.loss_dice: 1.3982, decode.d2.loss_cls: 1.0378, decode.d2.loss_mask: 0.8294, decode.d2.loss_dice: 1.3387, decode.d3.loss_cls: 1.0231, decode.d3.loss_mask: 0.8227, decode.d3.loss_dice: 1.3263, decode.d4.loss_cls: 1.0148, decode.d4.loss_mask: 0.8281, decode.d4.loss_dice: 1.3146, decode.d5.loss_cls: 1.0110, decode.d5.loss_mask: 0.8226, decode.d5.loss_dice: 1.3041, decode.d6.loss_cls: 1.0092, decode.d6.loss_mask: 0.8204, decode.d6.loss_dice: 1.2923, decode.d7.loss_cls: 1.0098, decode.d7.loss_mask: 0.8206, decode.d7.loss_dice: 1.2989, decode.d8.loss_cls: 1.0058, decode.d8.loss_mask: 0.8220, decode.d8.loss_dice: 1.3044, loss: 33.9863 2022-04-29 06:11:33,815 - mmseg - INFO - Iter [19250/80000] lr: 1.090e-06, eta: 1 day, 7:06:31, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9183, decode.loss_mask: 0.8432, decode.loss_dice: 1.2795, decode.d0.loss_cls: 2.9934, decode.d0.loss_mask: 0.8290, decode.d0.loss_dice: 1.4812, decode.d1.loss_cls: 1.0075, decode.d1.loss_mask: 0.8636, decode.d1.loss_dice: 1.3612, decode.d2.loss_cls: 0.9550, decode.d2.loss_mask: 0.8495, decode.d2.loss_dice: 1.3150, decode.d3.loss_cls: 0.9345, decode.d3.loss_mask: 0.8447, decode.d3.loss_dice: 1.2933, decode.d4.loss_cls: 0.9303, decode.d4.loss_mask: 0.8398, decode.d4.loss_dice: 1.2880, decode.d5.loss_cls: 0.9301, decode.d5.loss_mask: 0.8378, decode.d5.loss_dice: 1.2780, decode.d6.loss_cls: 0.9191, decode.d6.loss_mask: 0.8348, decode.d6.loss_dice: 1.2814, decode.d7.loss_cls: 0.9182, decode.d7.loss_mask: 0.8361, decode.d7.loss_dice: 1.2763, decode.d8.loss_cls: 0.9149, decode.d8.loss_mask: 0.8403, decode.d8.loss_dice: 1.2800, loss: 32.9740 2022-04-29 06:13:03,117 - mmseg - INFO - Iter [19300/80000] lr: 1.089e-06, eta: 1 day, 7:04:50, time: 1.787, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9168, decode.loss_mask: 0.8378, decode.loss_dice: 1.2827, decode.d0.loss_cls: 3.0629, decode.d0.loss_mask: 0.8188, decode.d0.loss_dice: 1.4902, decode.d1.loss_cls: 1.0166, decode.d1.loss_mask: 0.8524, decode.d1.loss_dice: 1.3764, decode.d2.loss_cls: 0.9543, decode.d2.loss_mask: 0.8406, decode.d2.loss_dice: 1.3191, decode.d3.loss_cls: 0.9350, decode.d3.loss_mask: 0.8383, decode.d3.loss_dice: 1.2955, decode.d4.loss_cls: 0.9278, decode.d4.loss_mask: 0.8369, decode.d4.loss_dice: 1.2989, decode.d5.loss_cls: 0.9313, decode.d5.loss_mask: 0.8325, decode.d5.loss_dice: 1.2900, decode.d6.loss_cls: 0.9231, decode.d6.loss_mask: 0.8344, decode.d6.loss_dice: 1.2796, decode.d7.loss_cls: 0.9164, decode.d7.loss_mask: 0.8359, decode.d7.loss_dice: 1.2839, decode.d8.loss_cls: 0.9135, decode.d8.loss_mask: 0.8345, decode.d8.loss_dice: 1.2790, loss: 33.0549 2022-04-29 06:14:33,247 - mmseg - INFO - Iter [19350/80000] lr: 1.089e-06, eta: 1 day, 7:03:12, time: 1.803, data_time: 0.016, memory: 64979, decode.loss_cls: 1.0368, decode.loss_mask: 0.8594, decode.loss_dice: 1.3347, decode.d0.loss_cls: 3.1177, decode.d0.loss_mask: 0.8332, decode.d0.loss_dice: 1.5427, decode.d1.loss_cls: 1.1159, decode.d1.loss_mask: 0.8776, decode.d1.loss_dice: 1.4128, decode.d2.loss_cls: 1.0622, decode.d2.loss_mask: 0.8672, decode.d2.loss_dice: 1.3574, decode.d3.loss_cls: 1.0530, decode.d3.loss_mask: 0.8621, decode.d3.loss_dice: 1.3400, decode.d4.loss_cls: 1.0518, decode.d4.loss_mask: 0.8598, decode.d4.loss_dice: 1.3354, decode.d5.loss_cls: 1.0399, decode.d5.loss_mask: 0.8604, decode.d5.loss_dice: 1.3386, decode.d6.loss_cls: 1.0381, decode.d6.loss_mask: 0.8524, decode.d6.loss_dice: 1.3194, decode.d7.loss_cls: 1.0386, decode.d7.loss_mask: 0.8535, decode.d7.loss_dice: 1.3200, decode.d8.loss_cls: 1.0418, decode.d8.loss_mask: 0.8538, decode.d8.loss_dice: 1.3247, loss: 34.8008 2022-04-29 06:16:01,639 - mmseg - INFO - Iter [19400/80000] lr: 1.088e-06, eta: 1 day, 7:01:28, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9256, decode.loss_mask: 0.8296, decode.loss_dice: 1.2732, decode.d0.loss_cls: 2.9607, decode.d0.loss_mask: 0.8151, decode.d0.loss_dice: 1.4767, decode.d1.loss_cls: 1.0043, decode.d1.loss_mask: 0.8545, decode.d1.loss_dice: 1.3554, decode.d2.loss_cls: 0.9572, decode.d2.loss_mask: 0.8359, decode.d2.loss_dice: 1.3034, decode.d3.loss_cls: 0.9523, decode.d3.loss_mask: 0.8256, decode.d3.loss_dice: 1.2750, decode.d4.loss_cls: 0.9467, decode.d4.loss_mask: 0.8276, decode.d4.loss_dice: 1.2803, decode.d5.loss_cls: 0.9406, decode.d5.loss_mask: 0.8311, decode.d5.loss_dice: 1.2713, decode.d6.loss_cls: 0.9337, decode.d6.loss_mask: 0.8256, decode.d6.loss_dice: 1.2656, decode.d7.loss_cls: 0.9310, decode.d7.loss_mask: 0.8269, decode.d7.loss_dice: 1.2689, decode.d8.loss_cls: 0.9241, decode.d8.loss_mask: 0.8306, decode.d8.loss_dice: 1.2786, loss: 32.8268 2022-04-29 06:17:32,399 - mmseg - INFO - Iter [19450/80000] lr: 1.087e-06, eta: 1 day, 6:59:51, time: 1.816, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9766, decode.loss_mask: 0.8343, decode.loss_dice: 1.3135, decode.d0.loss_cls: 3.0583, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.5217, decode.d1.loss_cls: 1.0640, decode.d1.loss_mask: 0.8529, decode.d1.loss_dice: 1.4059, decode.d2.loss_cls: 0.9933, decode.d2.loss_mask: 0.8380, decode.d2.loss_dice: 1.3600, decode.d3.loss_cls: 0.9846, decode.d3.loss_mask: 0.8322, decode.d3.loss_dice: 1.3332, decode.d4.loss_cls: 0.9814, decode.d4.loss_mask: 0.8288, decode.d4.loss_dice: 1.3249, decode.d5.loss_cls: 0.9757, decode.d5.loss_mask: 0.8251, decode.d5.loss_dice: 1.3231, decode.d6.loss_cls: 0.9729, decode.d6.loss_mask: 0.8319, decode.d6.loss_dice: 1.3116, decode.d7.loss_cls: 0.9743, decode.d7.loss_mask: 0.8262, decode.d7.loss_dice: 1.3142, decode.d8.loss_cls: 0.9709, decode.d8.loss_mask: 0.8287, decode.d8.loss_dice: 1.3143, loss: 33.7803 2022-04-29 06:19:02,778 - mmseg - INFO - Iter [19500/80000] lr: 1.086e-06, eta: 1 day, 6:58:14, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9560, decode.loss_mask: 0.8231, decode.loss_dice: 1.2813, decode.d0.loss_cls: 3.0402, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.4974, decode.d1.loss_cls: 1.0366, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.3886, decode.d2.loss_cls: 0.9814, decode.d2.loss_mask: 0.8184, decode.d2.loss_dice: 1.3281, decode.d3.loss_cls: 0.9614, decode.d3.loss_mask: 0.8222, decode.d3.loss_dice: 1.3069, decode.d4.loss_cls: 0.9581, decode.d4.loss_mask: 0.8250, decode.d4.loss_dice: 1.3062, decode.d5.loss_cls: 0.9598, decode.d5.loss_mask: 0.8183, decode.d5.loss_dice: 1.2992, decode.d6.loss_cls: 0.9591, decode.d6.loss_mask: 0.8171, decode.d6.loss_dice: 1.2814, decode.d7.loss_cls: 0.9612, decode.d7.loss_mask: 0.8209, decode.d7.loss_dice: 1.2859, decode.d8.loss_cls: 0.9547, decode.d8.loss_mask: 0.8188, decode.d8.loss_dice: 1.2828, loss: 33.2201 2022-04-29 06:20:32,042 - mmseg - INFO - Iter [19550/80000] lr: 1.085e-06, eta: 1 day, 6:56:33, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0032, decode.loss_mask: 0.8207, decode.loss_dice: 1.2923, decode.d0.loss_cls: 3.1235, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.5081, decode.d1.loss_cls: 1.0802, decode.d1.loss_mask: 0.8459, decode.d1.loss_dice: 1.3813, decode.d2.loss_cls: 1.0167, decode.d2.loss_mask: 0.8298, decode.d2.loss_dice: 1.3242, decode.d3.loss_cls: 1.0139, decode.d3.loss_mask: 0.8196, decode.d3.loss_dice: 1.3055, decode.d4.loss_cls: 1.0083, decode.d4.loss_mask: 0.8209, decode.d4.loss_dice: 1.3009, decode.d5.loss_cls: 0.9987, decode.d5.loss_mask: 0.8218, decode.d5.loss_dice: 1.2898, decode.d6.loss_cls: 0.9908, decode.d6.loss_mask: 0.8180, decode.d6.loss_dice: 1.2856, decode.d7.loss_cls: 0.9913, decode.d7.loss_mask: 0.8171, decode.d7.loss_dice: 1.2926, decode.d8.loss_cls: 0.9900, decode.d8.loss_mask: 0.8232, decode.d8.loss_dice: 1.2901, loss: 33.7106 2022-04-29 06:22:00,197 - mmseg - INFO - Iter [19600/80000] lr: 1.084e-06, eta: 1 day, 6:54:48, time: 1.763, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9382, decode.loss_mask: 0.8157, decode.loss_dice: 1.2722, decode.d0.loss_cls: 3.0270, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.4738, decode.d1.loss_cls: 1.0249, decode.d1.loss_mask: 0.8446, decode.d1.loss_dice: 1.3545, decode.d2.loss_cls: 0.9608, decode.d2.loss_mask: 0.8335, decode.d2.loss_dice: 1.3114, decode.d3.loss_cls: 0.9509, decode.d3.loss_mask: 0.8290, decode.d3.loss_dice: 1.2779, decode.d4.loss_cls: 0.9444, decode.d4.loss_mask: 0.8269, decode.d4.loss_dice: 1.2727, decode.d5.loss_cls: 0.9325, decode.d5.loss_mask: 0.8255, decode.d5.loss_dice: 1.2794, decode.d6.loss_cls: 0.9420, decode.d6.loss_mask: 0.8193, decode.d6.loss_dice: 1.2633, decode.d7.loss_cls: 0.9347, decode.d7.loss_mask: 0.8272, decode.d7.loss_dice: 1.2690, decode.d8.loss_cls: 0.9284, decode.d8.loss_mask: 0.8215, decode.d8.loss_dice: 1.2676, loss: 32.8675 2022-04-29 06:23:28,959 - mmseg - INFO - Iter [19650/80000] lr: 1.083e-06, eta: 1 day, 6:53:06, time: 1.775, data_time: 0.018, memory: 64979, decode.loss_cls: 0.9573, decode.loss_mask: 0.8278, decode.loss_dice: 1.2875, decode.d0.loss_cls: 3.0327, decode.d0.loss_mask: 0.8178, decode.d0.loss_dice: 1.4936, decode.d1.loss_cls: 1.0369, decode.d1.loss_mask: 0.8656, decode.d1.loss_dice: 1.3905, decode.d2.loss_cls: 0.9817, decode.d2.loss_mask: 0.8454, decode.d2.loss_dice: 1.3341, decode.d3.loss_cls: 0.9625, decode.d3.loss_mask: 0.8390, decode.d3.loss_dice: 1.3020, decode.d4.loss_cls: 0.9613, decode.d4.loss_mask: 0.8415, decode.d4.loss_dice: 1.2968, decode.d5.loss_cls: 0.9564, decode.d5.loss_mask: 0.8371, decode.d5.loss_dice: 1.2896, decode.d6.loss_cls: 0.9589, decode.d6.loss_mask: 0.8333, decode.d6.loss_dice: 1.2796, decode.d7.loss_cls: 0.9583, decode.d7.loss_mask: 0.8319, decode.d7.loss_dice: 1.2849, decode.d8.loss_cls: 0.9473, decode.d8.loss_mask: 0.8326, decode.d8.loss_dice: 1.2855, loss: 33.3693 2022-04-29 06:24:59,646 - mmseg - INFO - Iter [19700/80000] lr: 1.082e-06, eta: 1 day, 6:51:29, time: 1.814, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0041, decode.loss_mask: 0.8531, decode.loss_dice: 1.2822, decode.d0.loss_cls: 3.0375, decode.d0.loss_mask: 0.8453, decode.d0.loss_dice: 1.5063, decode.d1.loss_cls: 1.0798, decode.d1.loss_mask: 0.8908, decode.d1.loss_dice: 1.3902, decode.d2.loss_cls: 1.0158, decode.d2.loss_mask: 0.8731, decode.d2.loss_dice: 1.3388, decode.d3.loss_cls: 1.0125, decode.d3.loss_mask: 0.8677, decode.d3.loss_dice: 1.3052, decode.d4.loss_cls: 1.0081, decode.d4.loss_mask: 0.8644, decode.d4.loss_dice: 1.3056, decode.d5.loss_cls: 0.9989, decode.d5.loss_mask: 0.8599, decode.d5.loss_dice: 1.3025, decode.d6.loss_cls: 1.0078, decode.d6.loss_mask: 0.8549, decode.d6.loss_dice: 1.2923, decode.d7.loss_cls: 1.0005, decode.d7.loss_mask: 0.8559, decode.d7.loss_dice: 1.2908, decode.d8.loss_cls: 1.0002, decode.d8.loss_mask: 0.8587, decode.d8.loss_dice: 1.2935, loss: 34.0965 2022-04-29 06:26:29,716 - mmseg - INFO - Iter [19750/80000] lr: 1.081e-06, eta: 1 day, 6:49:51, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9554, decode.loss_mask: 0.8308, decode.loss_dice: 1.2863, decode.d0.loss_cls: 3.0375, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.5029, decode.d1.loss_cls: 1.0533, decode.d1.loss_mask: 0.8587, decode.d1.loss_dice: 1.3780, decode.d2.loss_cls: 0.9869, decode.d2.loss_mask: 0.8443, decode.d2.loss_dice: 1.3223, decode.d3.loss_cls: 0.9800, decode.d3.loss_mask: 0.8435, decode.d3.loss_dice: 1.3017, decode.d4.loss_cls: 0.9703, decode.d4.loss_mask: 0.8399, decode.d4.loss_dice: 1.2940, decode.d5.loss_cls: 0.9665, decode.d5.loss_mask: 0.8406, decode.d5.loss_dice: 1.2901, decode.d6.loss_cls: 0.9580, decode.d6.loss_mask: 0.8376, decode.d6.loss_dice: 1.2816, decode.d7.loss_cls: 0.9581, decode.d7.loss_mask: 0.8335, decode.d7.loss_dice: 1.2879, decode.d8.loss_cls: 0.9546, decode.d8.loss_mask: 0.8332, decode.d8.loss_dice: 1.2824, loss: 33.4263 2022-04-29 06:27:57,842 - mmseg - INFO - Iter [19800/80000] lr: 1.080e-06, eta: 1 day, 6:48:07, time: 1.763, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9550, decode.loss_mask: 0.8333, decode.loss_dice: 1.2781, decode.d0.loss_cls: 3.0162, decode.d0.loss_mask: 0.8157, decode.d0.loss_dice: 1.4773, decode.d1.loss_cls: 1.0358, decode.d1.loss_mask: 0.8636, decode.d1.loss_dice: 1.3720, decode.d2.loss_cls: 0.9694, decode.d2.loss_mask: 0.8507, decode.d2.loss_dice: 1.3309, decode.d3.loss_cls: 0.9597, decode.d3.loss_mask: 0.8384, decode.d3.loss_dice: 1.2922, decode.d4.loss_cls: 0.9545, decode.d4.loss_mask: 0.8394, decode.d4.loss_dice: 1.2882, decode.d5.loss_cls: 0.9535, decode.d5.loss_mask: 0.8383, decode.d5.loss_dice: 1.2795, decode.d6.loss_cls: 0.9521, decode.d6.loss_mask: 0.8347, decode.d6.loss_dice: 1.2669, decode.d7.loss_cls: 0.9525, decode.d7.loss_mask: 0.8351, decode.d7.loss_dice: 1.2759, decode.d8.loss_cls: 0.9400, decode.d8.loss_mask: 0.8354, decode.d8.loss_dice: 1.2803, loss: 33.2146 2022-04-29 06:29:27,818 - mmseg - INFO - Iter [19850/80000] lr: 1.080e-06, eta: 1 day, 6:46:28, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9387, decode.loss_mask: 0.8211, decode.loss_dice: 1.2546, decode.d0.loss_cls: 3.0177, decode.d0.loss_mask: 0.8049, decode.d0.loss_dice: 1.4787, decode.d1.loss_cls: 1.0276, decode.d1.loss_mask: 0.8420, decode.d1.loss_dice: 1.3478, decode.d2.loss_cls: 0.9651, decode.d2.loss_mask: 0.8311, decode.d2.loss_dice: 1.2968, decode.d3.loss_cls: 0.9508, decode.d3.loss_mask: 0.8203, decode.d3.loss_dice: 1.2674, decode.d4.loss_cls: 0.9485, decode.d4.loss_mask: 0.8221, decode.d4.loss_dice: 1.2652, decode.d5.loss_cls: 0.9324, decode.d5.loss_mask: 0.8316, decode.d5.loss_dice: 1.2630, decode.d6.loss_cls: 0.9333, decode.d6.loss_mask: 0.8251, decode.d6.loss_dice: 1.2571, decode.d7.loss_cls: 0.9373, decode.d7.loss_mask: 0.8245, decode.d7.loss_dice: 1.2509, decode.d8.loss_cls: 0.9371, decode.d8.loss_mask: 0.8210, decode.d8.loss_dice: 1.2515, loss: 32.7650 2022-04-29 06:30:57,763 - mmseg - INFO - Iter [19900/80000] lr: 1.079e-06, eta: 1 day, 6:44:50, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9849, decode.loss_mask: 0.8073, decode.loss_dice: 1.2351, decode.d0.loss_cls: 3.0774, decode.d0.loss_mask: 0.7991, decode.d0.loss_dice: 1.4718, decode.d1.loss_cls: 1.0781, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.3307, decode.d2.loss_cls: 1.0186, decode.d2.loss_mask: 0.8198, decode.d2.loss_dice: 1.2718, decode.d3.loss_cls: 1.0048, decode.d3.loss_mask: 0.8067, decode.d3.loss_dice: 1.2498, decode.d4.loss_cls: 0.9974, decode.d4.loss_mask: 0.8088, decode.d4.loss_dice: 1.2513, decode.d5.loss_cls: 0.9814, decode.d5.loss_mask: 0.8124, decode.d5.loss_dice: 1.2484, decode.d6.loss_cls: 0.9845, decode.d6.loss_mask: 0.8113, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.9795, decode.d7.loss_mask: 0.8105, decode.d7.loss_dice: 1.2362, decode.d8.loss_cls: 0.9799, decode.d8.loss_mask: 0.8080, decode.d8.loss_dice: 1.2335, loss: 32.9676 2022-04-29 06:32:27,189 - mmseg - INFO - Iter [19950/80000] lr: 1.078e-06, eta: 1 day, 6:43:10, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9850, decode.loss_mask: 0.8116, decode.loss_dice: 1.2843, decode.d0.loss_cls: 3.0671, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4884, decode.d1.loss_cls: 1.0730, decode.d1.loss_mask: 0.8385, decode.d1.loss_dice: 1.3828, decode.d2.loss_cls: 1.0199, decode.d2.loss_mask: 0.8199, decode.d2.loss_dice: 1.3237, decode.d3.loss_cls: 1.0025, decode.d3.loss_mask: 0.8214, decode.d3.loss_dice: 1.3016, decode.d4.loss_cls: 0.9948, decode.d4.loss_mask: 0.8185, decode.d4.loss_dice: 1.2902, decode.d5.loss_cls: 0.9896, decode.d5.loss_mask: 0.8127, decode.d5.loss_dice: 1.2945, decode.d6.loss_cls: 0.9897, decode.d6.loss_mask: 0.8034, decode.d6.loss_dice: 1.2760, decode.d7.loss_cls: 0.9870, decode.d7.loss_mask: 0.8021, decode.d7.loss_dice: 1.2765, decode.d8.loss_cls: 0.9846, decode.d8.loss_mask: 0.8111, decode.d8.loss_dice: 1.2842, loss: 33.4273 2022-04-29 06:33:57,167 - mmseg - INFO - Saving checkpoint at 20000 iterations 2022-04-29 06:34:28,485 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 06:34:28,490 - mmseg - INFO - Iter [20000/80000] lr: 1.077e-06, eta: 1 day, 6:43:05, time: 2.424, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9412, decode.loss_mask: 0.8039, decode.loss_dice: 1.2618, decode.d0.loss_cls: 3.0307, decode.d0.loss_mask: 0.7912, decode.d0.loss_dice: 1.4915, decode.d1.loss_cls: 1.0180, decode.d1.loss_mask: 0.8366, decode.d1.loss_dice: 1.3647, decode.d2.loss_cls: 0.9561, decode.d2.loss_mask: 0.8157, decode.d2.loss_dice: 1.3159, decode.d3.loss_cls: 0.9490, decode.d3.loss_mask: 0.8077, decode.d3.loss_dice: 1.2848, decode.d4.loss_cls: 0.9381, decode.d4.loss_mask: 0.8073, decode.d4.loss_dice: 1.2839, decode.d5.loss_cls: 0.9375, decode.d5.loss_mask: 0.8032, decode.d5.loss_dice: 1.2812, decode.d6.loss_cls: 0.9339, decode.d6.loss_mask: 0.8048, decode.d6.loss_dice: 1.2727, decode.d7.loss_cls: 0.9354, decode.d7.loss_mask: 0.8081, decode.d7.loss_dice: 1.2685, decode.d8.loss_cls: 0.9325, decode.d8.loss_mask: 0.8083, decode.d8.loss_dice: 1.2739, loss: 32.7580 2022-04-29 06:35:59,134 - mmseg - INFO - Iter [20050/80000] lr: 1.076e-06, eta: 1 day, 6:41:28, time: 1.813, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9519, decode.loss_mask: 0.8288, decode.loss_dice: 1.2573, decode.d0.loss_cls: 3.0033, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.4516, decode.d1.loss_cls: 1.0548, decode.d1.loss_mask: 0.8442, decode.d1.loss_dice: 1.3380, decode.d2.loss_cls: 0.9834, decode.d2.loss_mask: 0.8362, decode.d2.loss_dice: 1.2907, decode.d3.loss_cls: 0.9735, decode.d3.loss_mask: 0.8419, decode.d3.loss_dice: 1.2772, decode.d4.loss_cls: 0.9662, decode.d4.loss_mask: 0.8353, decode.d4.loss_dice: 1.2696, decode.d5.loss_cls: 0.9540, decode.d5.loss_mask: 0.8330, decode.d5.loss_dice: 1.2619, decode.d6.loss_cls: 0.9571, decode.d6.loss_mask: 0.8308, decode.d6.loss_dice: 1.2553, decode.d7.loss_cls: 0.9503, decode.d7.loss_mask: 0.8275, decode.d7.loss_dice: 1.2566, decode.d8.loss_cls: 0.9550, decode.d8.loss_mask: 0.8276, decode.d8.loss_dice: 1.2610, loss: 32.9869 2022-04-29 06:37:28,451 - mmseg - INFO - Iter [20100/80000] lr: 1.075e-06, eta: 1 day, 6:39:48, time: 1.789, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9154, decode.loss_mask: 0.8330, decode.loss_dice: 1.2767, decode.d0.loss_cls: 2.9891, decode.d0.loss_mask: 0.8107, decode.d0.loss_dice: 1.4683, decode.d1.loss_cls: 1.0163, decode.d1.loss_mask: 0.8464, decode.d1.loss_dice: 1.3549, decode.d2.loss_cls: 0.9552, decode.d2.loss_mask: 0.8351, decode.d2.loss_dice: 1.3001, decode.d3.loss_cls: 0.9376, decode.d3.loss_mask: 0.8345, decode.d3.loss_dice: 1.2868, decode.d4.loss_cls: 0.9341, decode.d4.loss_mask: 0.8299, decode.d4.loss_dice: 1.2877, decode.d5.loss_cls: 0.9185, decode.d5.loss_mask: 0.8333, decode.d5.loss_dice: 1.2814, decode.d6.loss_cls: 0.9197, decode.d6.loss_mask: 0.8269, decode.d6.loss_dice: 1.2760, decode.d7.loss_cls: 0.9155, decode.d7.loss_mask: 0.8250, decode.d7.loss_dice: 1.2725, decode.d8.loss_cls: 0.9092, decode.d8.loss_mask: 0.8355, decode.d8.loss_dice: 1.2769, loss: 32.8024 2022-04-29 06:38:57,112 - mmseg - INFO - Iter [20150/80000] lr: 1.074e-06, eta: 1 day, 6:38:05, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9442, decode.loss_mask: 0.8235, decode.loss_dice: 1.2802, decode.d0.loss_cls: 3.0271, decode.d0.loss_mask: 0.7997, decode.d0.loss_dice: 1.4771, decode.d1.loss_cls: 1.0383, decode.d1.loss_mask: 0.8472, decode.d1.loss_dice: 1.3823, decode.d2.loss_cls: 0.9707, decode.d2.loss_mask: 0.8353, decode.d2.loss_dice: 1.3204, decode.d3.loss_cls: 0.9563, decode.d3.loss_mask: 0.8362, decode.d3.loss_dice: 1.3050, decode.d4.loss_cls: 0.9509, decode.d4.loss_mask: 0.8329, decode.d4.loss_dice: 1.3017, decode.d5.loss_cls: 0.9451, decode.d5.loss_mask: 0.8261, decode.d5.loss_dice: 1.2923, decode.d6.loss_cls: 0.9395, decode.d6.loss_mask: 0.8315, decode.d6.loss_dice: 1.2863, decode.d7.loss_cls: 0.9450, decode.d7.loss_mask: 0.8271, decode.d7.loss_dice: 1.2858, decode.d8.loss_cls: 0.9335, decode.d8.loss_mask: 0.8310, decode.d8.loss_dice: 1.2917, loss: 33.1639 2022-04-29 06:40:26,104 - mmseg - INFO - Iter [20200/80000] lr: 1.073e-06, eta: 1 day, 6:36:24, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9543, decode.loss_mask: 0.8233, decode.loss_dice: 1.3039, decode.d0.loss_cls: 3.0445, decode.d0.loss_mask: 0.8060, decode.d0.loss_dice: 1.4986, decode.d1.loss_cls: 1.0381, decode.d1.loss_mask: 0.8499, decode.d1.loss_dice: 1.3856, decode.d2.loss_cls: 0.9765, decode.d2.loss_mask: 0.8355, decode.d2.loss_dice: 1.3343, decode.d3.loss_cls: 0.9755, decode.d3.loss_mask: 0.8299, decode.d3.loss_dice: 1.3171, decode.d4.loss_cls: 0.9655, decode.d4.loss_mask: 0.8290, decode.d4.loss_dice: 1.3132, decode.d5.loss_cls: 0.9654, decode.d5.loss_mask: 0.8239, decode.d5.loss_dice: 1.3059, decode.d6.loss_cls: 0.9585, decode.d6.loss_mask: 0.8244, decode.d6.loss_dice: 1.2934, decode.d7.loss_cls: 0.9579, decode.d7.loss_mask: 0.8263, decode.d7.loss_dice: 1.3041, decode.d8.loss_cls: 0.9540, decode.d8.loss_mask: 0.8248, decode.d8.loss_dice: 1.3002, loss: 33.4195 2022-04-29 06:41:53,953 - mmseg - INFO - Iter [20250/80000] lr: 1.072e-06, eta: 1 day, 6:34:39, time: 1.757, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8829, decode.loss_mask: 0.8174, decode.loss_dice: 1.2497, decode.d0.loss_cls: 2.9129, decode.d0.loss_mask: 0.7943, decode.d0.loss_dice: 1.4364, decode.d1.loss_cls: 0.9695, decode.d1.loss_mask: 0.8322, decode.d1.loss_dice: 1.3311, decode.d2.loss_cls: 0.9060, decode.d2.loss_mask: 0.8227, decode.d2.loss_dice: 1.2787, decode.d3.loss_cls: 0.8980, decode.d3.loss_mask: 0.8198, decode.d3.loss_dice: 1.2633, decode.d4.loss_cls: 0.8921, decode.d4.loss_mask: 0.8191, decode.d4.loss_dice: 1.2602, decode.d5.loss_cls: 0.8871, decode.d5.loss_mask: 0.8174, decode.d5.loss_dice: 1.2553, decode.d6.loss_cls: 0.8798, decode.d6.loss_mask: 0.8191, decode.d6.loss_dice: 1.2462, decode.d7.loss_cls: 0.8775, decode.d7.loss_mask: 0.8232, decode.d7.loss_dice: 1.2502, decode.d8.loss_cls: 0.8775, decode.d8.loss_mask: 0.8216, decode.d8.loss_dice: 1.2567, loss: 31.9981 2022-04-29 06:43:21,868 - mmseg - INFO - Iter [20300/80000] lr: 1.071e-06, eta: 1 day, 6:32:55, time: 1.758, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9457, decode.loss_mask: 0.8342, decode.loss_dice: 1.2574, decode.d0.loss_cls: 3.0169, decode.d0.loss_mask: 0.8336, decode.d0.loss_dice: 1.4537, decode.d1.loss_cls: 1.0322, decode.d1.loss_mask: 0.8612, decode.d1.loss_dice: 1.3423, decode.d2.loss_cls: 0.9688, decode.d2.loss_mask: 0.8492, decode.d2.loss_dice: 1.2939, decode.d3.loss_cls: 0.9530, decode.d3.loss_mask: 0.8444, decode.d3.loss_dice: 1.2674, decode.d4.loss_cls: 0.9505, decode.d4.loss_mask: 0.8405, decode.d4.loss_dice: 1.2720, decode.d5.loss_cls: 0.9465, decode.d5.loss_mask: 0.8345, decode.d5.loss_dice: 1.2689, decode.d6.loss_cls: 0.9459, decode.d6.loss_mask: 0.8346, decode.d6.loss_dice: 1.2644, decode.d7.loss_cls: 0.9475, decode.d7.loss_mask: 0.8377, decode.d7.loss_dice: 1.2614, decode.d8.loss_cls: 0.9433, decode.d8.loss_mask: 0.8386, decode.d8.loss_dice: 1.2620, loss: 33.0022 2022-04-29 06:44:51,986 - mmseg - INFO - Iter [20350/80000] lr: 1.071e-06, eta: 1 day, 6:31:17, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9567, decode.loss_mask: 0.8273, decode.loss_dice: 1.2894, decode.d0.loss_cls: 3.0193, decode.d0.loss_mask: 0.8132, decode.d0.loss_dice: 1.5005, decode.d1.loss_cls: 1.0402, decode.d1.loss_mask: 0.8533, decode.d1.loss_dice: 1.3859, decode.d2.loss_cls: 0.9806, decode.d2.loss_mask: 0.8353, decode.d2.loss_dice: 1.3315, decode.d3.loss_cls: 0.9680, decode.d3.loss_mask: 0.8292, decode.d3.loss_dice: 1.2987, decode.d4.loss_cls: 0.9658, decode.d4.loss_mask: 0.8314, decode.d4.loss_dice: 1.2989, decode.d5.loss_cls: 0.9655, decode.d5.loss_mask: 0.8260, decode.d5.loss_dice: 1.2951, decode.d6.loss_cls: 0.9538, decode.d6.loss_mask: 0.8272, decode.d6.loss_dice: 1.2823, decode.d7.loss_cls: 0.9561, decode.d7.loss_mask: 0.8249, decode.d7.loss_dice: 1.2837, decode.d8.loss_cls: 0.9521, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.2906, loss: 33.3059 2022-04-29 06:46:20,532 - mmseg - INFO - Iter [20400/80000] lr: 1.070e-06, eta: 1 day, 6:29:34, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8992, decode.loss_mask: 0.8072, decode.loss_dice: 1.2763, decode.d0.loss_cls: 2.9696, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.4742, decode.d1.loss_cls: 0.9884, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.3679, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.8206, decode.d2.loss_dice: 1.3120, decode.d3.loss_cls: 0.9151, decode.d3.loss_mask: 0.8126, decode.d3.loss_dice: 1.2913, decode.d4.loss_cls: 0.9047, decode.d4.loss_mask: 0.8104, decode.d4.loss_dice: 1.2946, decode.d5.loss_cls: 0.9052, decode.d5.loss_mask: 0.8090, decode.d5.loss_dice: 1.2859, decode.d6.loss_cls: 0.8974, decode.d6.loss_mask: 0.8118, decode.d6.loss_dice: 1.2702, decode.d7.loss_cls: 0.9038, decode.d7.loss_mask: 0.8038, decode.d7.loss_dice: 1.2802, decode.d8.loss_cls: 0.8946, decode.d8.loss_mask: 0.8080, decode.d8.loss_dice: 1.2836, loss: 32.4498 2022-04-29 06:47:50,366 - mmseg - INFO - Iter [20450/80000] lr: 1.069e-06, eta: 1 day, 6:27:56, time: 1.797, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9604, decode.loss_mask: 0.8026, decode.loss_dice: 1.2725, decode.d0.loss_cls: 3.0303, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.4928, decode.d1.loss_cls: 1.0455, decode.d1.loss_mask: 0.8335, decode.d1.loss_dice: 1.3783, decode.d2.loss_cls: 0.9781, decode.d2.loss_mask: 0.8190, decode.d2.loss_dice: 1.3264, decode.d3.loss_cls: 0.9637, decode.d3.loss_mask: 0.8096, decode.d3.loss_dice: 1.2934, decode.d4.loss_cls: 0.9663, decode.d4.loss_mask: 0.8102, decode.d4.loss_dice: 1.2866, decode.d5.loss_cls: 0.9634, decode.d5.loss_mask: 0.8084, decode.d5.loss_dice: 1.2812, decode.d6.loss_cls: 0.9614, decode.d6.loss_mask: 0.7964, decode.d6.loss_dice: 1.2669, decode.d7.loss_cls: 0.9608, decode.d7.loss_mask: 0.8042, decode.d7.loss_dice: 1.2743, decode.d8.loss_cls: 0.9601, decode.d8.loss_mask: 0.8009, decode.d8.loss_dice: 1.2818, loss: 33.0038 2022-04-29 06:49:19,040 - mmseg - INFO - Iter [20500/80000] lr: 1.068e-06, eta: 1 day, 6:26:14, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9486, decode.loss_mask: 0.8097, decode.loss_dice: 1.2881, decode.d0.loss_cls: 2.9771, decode.d0.loss_mask: 0.8009, decode.d0.loss_dice: 1.5062, decode.d1.loss_cls: 1.0332, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.3906, decode.d2.loss_cls: 0.9675, decode.d2.loss_mask: 0.8239, decode.d2.loss_dice: 1.3310, decode.d3.loss_cls: 0.9564, decode.d3.loss_mask: 0.8175, decode.d3.loss_dice: 1.3082, decode.d4.loss_cls: 0.9564, decode.d4.loss_mask: 0.8133, decode.d4.loss_dice: 1.3010, decode.d5.loss_cls: 0.9557, decode.d5.loss_mask: 0.8100, decode.d5.loss_dice: 1.2944, decode.d6.loss_cls: 0.9465, decode.d6.loss_mask: 0.8090, decode.d6.loss_dice: 1.2976, decode.d7.loss_cls: 0.9509, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.2935, decode.d8.loss_cls: 0.9482, decode.d8.loss_mask: 0.8082, decode.d8.loss_dice: 1.2900, loss: 33.0749 2022-04-29 06:50:48,546 - mmseg - INFO - Iter [20550/80000] lr: 1.067e-06, eta: 1 day, 6:24:34, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9435, decode.loss_mask: 0.8058, decode.loss_dice: 1.2819, decode.d0.loss_cls: 2.9829, decode.d0.loss_mask: 0.7958, decode.d0.loss_dice: 1.4860, decode.d1.loss_cls: 1.0412, decode.d1.loss_mask: 0.8305, decode.d1.loss_dice: 1.3696, decode.d2.loss_cls: 0.9737, decode.d2.loss_mask: 0.8202, decode.d2.loss_dice: 1.3121, decode.d3.loss_cls: 0.9569, decode.d3.loss_mask: 0.8112, decode.d3.loss_dice: 1.2989, decode.d4.loss_cls: 0.9465, decode.d4.loss_mask: 0.8040, decode.d4.loss_dice: 1.2976, decode.d5.loss_cls: 0.9464, decode.d5.loss_mask: 0.8057, decode.d5.loss_dice: 1.2843, decode.d6.loss_cls: 0.9404, decode.d6.loss_mask: 0.8087, decode.d6.loss_dice: 1.2792, decode.d7.loss_cls: 0.9396, decode.d7.loss_mask: 0.8084, decode.d7.loss_dice: 1.2804, decode.d8.loss_cls: 0.9426, decode.d8.loss_mask: 0.8049, decode.d8.loss_dice: 1.2767, loss: 32.8757 2022-04-29 06:52:17,206 - mmseg - INFO - Iter [20600/80000] lr: 1.066e-06, eta: 1 day, 6:22:52, time: 1.773, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9409, decode.loss_mask: 0.8444, decode.loss_dice: 1.2670, decode.d0.loss_cls: 2.9733, decode.d0.loss_mask: 0.8269, decode.d0.loss_dice: 1.4645, decode.d1.loss_cls: 1.0254, decode.d1.loss_mask: 0.8681, decode.d1.loss_dice: 1.3397, decode.d2.loss_cls: 0.9572, decode.d2.loss_mask: 0.8514, decode.d2.loss_dice: 1.3005, decode.d3.loss_cls: 0.9481, decode.d3.loss_mask: 0.8467, decode.d3.loss_dice: 1.2784, decode.d4.loss_cls: 0.9470, decode.d4.loss_mask: 0.8464, decode.d4.loss_dice: 1.2793, decode.d5.loss_cls: 0.9338, decode.d5.loss_mask: 0.8463, decode.d5.loss_dice: 1.2846, decode.d6.loss_cls: 0.9349, decode.d6.loss_mask: 0.8429, decode.d6.loss_dice: 1.2683, decode.d7.loss_cls: 0.9388, decode.d7.loss_mask: 0.8461, decode.d7.loss_dice: 1.2654, decode.d8.loss_cls: 0.9325, decode.d8.loss_mask: 0.8468, decode.d8.loss_dice: 1.2640, loss: 33.0097 2022-04-29 06:53:46,444 - mmseg - INFO - Iter [20650/80000] lr: 1.065e-06, eta: 1 day, 6:21:12, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9599, decode.loss_mask: 0.8282, decode.loss_dice: 1.2596, decode.d0.loss_cls: 3.0363, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.4823, decode.d1.loss_cls: 1.0593, decode.d1.loss_mask: 0.8490, decode.d1.loss_dice: 1.3479, decode.d2.loss_cls: 0.9867, decode.d2.loss_mask: 0.8334, decode.d2.loss_dice: 1.3009, decode.d3.loss_cls: 0.9745, decode.d3.loss_mask: 0.8313, decode.d3.loss_dice: 1.2796, decode.d4.loss_cls: 0.9676, decode.d4.loss_mask: 0.8293, decode.d4.loss_dice: 1.2707, decode.d5.loss_cls: 0.9681, decode.d5.loss_mask: 0.8259, decode.d5.loss_dice: 1.2735, decode.d6.loss_cls: 0.9584, decode.d6.loss_mask: 0.8214, decode.d6.loss_dice: 1.2616, decode.d7.loss_cls: 0.9611, decode.d7.loss_mask: 0.8248, decode.d7.loss_dice: 1.2625, decode.d8.loss_cls: 0.9590, decode.d8.loss_mask: 0.8273, decode.d8.loss_dice: 1.2554, loss: 33.1053 2022-04-29 06:55:16,676 - mmseg - INFO - Iter [20700/80000] lr: 1.064e-06, eta: 1 day, 6:19:35, time: 1.804, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9277, decode.loss_mask: 0.8351, decode.loss_dice: 1.2888, decode.d0.loss_cls: 2.9595, decode.d0.loss_mask: 0.8206, decode.d0.loss_dice: 1.4863, decode.d1.loss_cls: 1.0072, decode.d1.loss_mask: 0.8555, decode.d1.loss_dice: 1.3743, decode.d2.loss_cls: 0.9423, decode.d2.loss_mask: 0.8521, decode.d2.loss_dice: 1.3248, decode.d3.loss_cls: 0.9263, decode.d3.loss_mask: 0.8444, decode.d3.loss_dice: 1.3035, decode.d4.loss_cls: 0.9263, decode.d4.loss_mask: 0.8386, decode.d4.loss_dice: 1.3091, decode.d5.loss_cls: 0.9205, decode.d5.loss_mask: 0.8443, decode.d5.loss_dice: 1.2995, decode.d6.loss_cls: 0.9165, decode.d6.loss_mask: 0.8374, decode.d6.loss_dice: 1.2876, decode.d7.loss_cls: 0.9162, decode.d7.loss_mask: 0.8375, decode.d7.loss_dice: 1.2925, decode.d8.loss_cls: 0.9199, decode.d8.loss_mask: 0.8360, decode.d8.loss_dice: 1.2874, loss: 33.0179 2022-04-29 06:56:45,928 - mmseg - INFO - Iter [20750/80000] lr: 1.063e-06, eta: 1 day, 6:17:55, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9464, decode.loss_mask: 0.8184, decode.loss_dice: 1.2702, decode.d0.loss_cls: 3.0059, decode.d0.loss_mask: 0.8078, decode.d0.loss_dice: 1.4767, decode.d1.loss_cls: 1.0259, decode.d1.loss_mask: 0.8491, decode.d1.loss_dice: 1.3583, decode.d2.loss_cls: 0.9581, decode.d2.loss_mask: 0.8230, decode.d2.loss_dice: 1.3042, decode.d3.loss_cls: 0.9515, decode.d3.loss_mask: 0.8259, decode.d3.loss_dice: 1.2864, decode.d4.loss_cls: 0.9539, decode.d4.loss_mask: 0.8202, decode.d4.loss_dice: 1.2841, decode.d5.loss_cls: 0.9399, decode.d5.loss_mask: 0.8171, decode.d5.loss_dice: 1.2829, decode.d6.loss_cls: 0.9373, decode.d6.loss_mask: 0.8172, decode.d6.loss_dice: 1.2735, decode.d7.loss_cls: 0.9367, decode.d7.loss_mask: 0.8192, decode.d7.loss_dice: 1.2674, decode.d8.loss_cls: 0.9379, decode.d8.loss_mask: 0.8145, decode.d8.loss_dice: 1.2789, loss: 32.8886 2022-04-29 06:58:15,123 - mmseg - INFO - Iter [20800/80000] lr: 1.063e-06, eta: 1 day, 6:16:15, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9542, decode.loss_mask: 0.8163, decode.loss_dice: 1.2980, decode.d0.loss_cls: 3.0442, decode.d0.loss_mask: 0.8038, decode.d0.loss_dice: 1.5167, decode.d1.loss_cls: 1.0499, decode.d1.loss_mask: 0.8413, decode.d1.loss_dice: 1.3869, decode.d2.loss_cls: 0.9893, decode.d2.loss_mask: 0.8288, decode.d2.loss_dice: 1.3299, decode.d3.loss_cls: 0.9714, decode.d3.loss_mask: 0.8244, decode.d3.loss_dice: 1.3168, decode.d4.loss_cls: 0.9567, decode.d4.loss_mask: 0.8279, decode.d4.loss_dice: 1.3113, decode.d5.loss_cls: 0.9495, decode.d5.loss_mask: 0.8219, decode.d5.loss_dice: 1.3066, decode.d6.loss_cls: 0.9446, decode.d6.loss_mask: 0.8143, decode.d6.loss_dice: 1.2909, decode.d7.loss_cls: 0.9436, decode.d7.loss_mask: 0.8176, decode.d7.loss_dice: 1.2972, decode.d8.loss_cls: 0.9455, decode.d8.loss_mask: 0.8141, decode.d8.loss_dice: 1.2914, loss: 33.3048 2022-04-29 06:59:43,912 - mmseg - INFO - Iter [20850/80000] lr: 1.062e-06, eta: 1 day, 6:14:33, time: 1.776, data_time: 0.015, memory: 64979, decode.loss_cls: 1.0047, decode.loss_mask: 0.8277, decode.loss_dice: 1.3247, decode.d0.loss_cls: 3.0599, decode.d0.loss_mask: 0.8238, decode.d0.loss_dice: 1.5426, decode.d1.loss_cls: 1.0924, decode.d1.loss_mask: 0.8648, decode.d1.loss_dice: 1.4208, decode.d2.loss_cls: 1.0261, decode.d2.loss_mask: 0.8504, decode.d2.loss_dice: 1.3718, decode.d3.loss_cls: 1.0137, decode.d3.loss_mask: 0.8423, decode.d3.loss_dice: 1.3516, decode.d4.loss_cls: 1.0109, decode.d4.loss_mask: 0.8391, decode.d4.loss_dice: 1.3463, decode.d5.loss_cls: 1.0061, decode.d5.loss_mask: 0.8349, decode.d5.loss_dice: 1.3342, decode.d6.loss_cls: 1.0122, decode.d6.loss_mask: 0.8303, decode.d6.loss_dice: 1.3245, decode.d7.loss_cls: 0.9976, decode.d7.loss_mask: 0.8345, decode.d7.loss_dice: 1.3292, decode.d8.loss_cls: 1.0053, decode.d8.loss_mask: 0.8338, decode.d8.loss_dice: 1.3244, loss: 34.2804 2022-04-29 07:01:12,869 - mmseg - INFO - Iter [20900/80000] lr: 1.061e-06, eta: 1 day, 6:12:53, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9387, decode.loss_mask: 0.8228, decode.loss_dice: 1.2865, decode.d0.loss_cls: 2.9649, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.4845, decode.d1.loss_cls: 1.0239, decode.d1.loss_mask: 0.8438, decode.d1.loss_dice: 1.3654, decode.d2.loss_cls: 0.9682, decode.d2.loss_mask: 0.8293, decode.d2.loss_dice: 1.3203, decode.d3.loss_cls: 0.9546, decode.d3.loss_mask: 0.8222, decode.d3.loss_dice: 1.2887, decode.d4.loss_cls: 0.9488, decode.d4.loss_mask: 0.8238, decode.d4.loss_dice: 1.2902, decode.d5.loss_cls: 0.9434, decode.d5.loss_mask: 0.8160, decode.d5.loss_dice: 1.2958, decode.d6.loss_cls: 0.9454, decode.d6.loss_mask: 0.8137, decode.d6.loss_dice: 1.2775, decode.d7.loss_cls: 0.9367, decode.d7.loss_mask: 0.8194, decode.d7.loss_dice: 1.2800, decode.d8.loss_cls: 0.9374, decode.d8.loss_mask: 0.8177, decode.d8.loss_dice: 1.2837, loss: 32.9402 2022-04-29 07:02:41,402 - mmseg - INFO - Iter [20950/80000] lr: 1.060e-06, eta: 1 day, 6:11:10, time: 1.769, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9744, decode.loss_mask: 0.8483, decode.loss_dice: 1.3111, decode.d0.loss_cls: 3.0157, decode.d0.loss_mask: 0.8456, decode.d0.loss_dice: 1.5116, decode.d1.loss_cls: 1.0600, decode.d1.loss_mask: 0.8781, decode.d1.loss_dice: 1.3998, decode.d2.loss_cls: 0.9927, decode.d2.loss_mask: 0.8603, decode.d2.loss_dice: 1.3356, decode.d3.loss_cls: 0.9822, decode.d3.loss_mask: 0.8549, decode.d3.loss_dice: 1.3267, decode.d4.loss_cls: 0.9759, decode.d4.loss_mask: 0.8672, decode.d4.loss_dice: 1.3310, decode.d5.loss_cls: 0.9710, decode.d5.loss_mask: 0.8609, decode.d5.loss_dice: 1.3257, decode.d6.loss_cls: 0.9648, decode.d6.loss_mask: 0.8525, decode.d6.loss_dice: 1.3081, decode.d7.loss_cls: 0.9678, decode.d7.loss_mask: 0.8549, decode.d7.loss_dice: 1.3167, decode.d8.loss_cls: 0.9685, decode.d8.loss_mask: 0.8513, decode.d8.loss_dice: 1.3095, loss: 33.9229 2022-04-29 07:04:10,198 - mmseg - INFO - Saving checkpoint at 21000 iterations 2022-04-29 07:04:28,837 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 07:04:28,845 - mmseg - INFO - Iter [21000/80000] lr: 1.059e-06, eta: 1 day, 6:10:22, time: 2.149, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9237, decode.loss_mask: 0.8261, decode.loss_dice: 1.3040, decode.d0.loss_cls: 3.0053, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.5029, decode.d1.loss_cls: 1.0070, decode.d1.loss_mask: 0.8436, decode.d1.loss_dice: 1.3806, decode.d2.loss_cls: 0.9496, decode.d2.loss_mask: 0.8311, decode.d2.loss_dice: 1.3359, decode.d3.loss_cls: 0.9319, decode.d3.loss_mask: 0.8340, decode.d3.loss_dice: 1.3120, decode.d4.loss_cls: 0.9289, decode.d4.loss_mask: 0.8241, decode.d4.loss_dice: 1.3213, decode.d5.loss_cls: 0.9256, decode.d5.loss_mask: 0.8219, decode.d5.loss_dice: 1.3047, decode.d6.loss_cls: 0.9207, decode.d6.loss_mask: 0.8277, decode.d6.loss_dice: 1.2971, decode.d7.loss_cls: 0.9177, decode.d7.loss_mask: 0.8312, decode.d7.loss_dice: 1.2973, decode.d8.loss_cls: 0.9223, decode.d8.loss_mask: 0.8282, decode.d8.loss_dice: 1.3011, loss: 33.0541 2022-04-29 07:05:58,036 - mmseg - INFO - Iter [21050/80000] lr: 1.058e-06, eta: 1 day, 6:08:42, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9650, decode.loss_mask: 0.8290, decode.loss_dice: 1.2718, decode.d0.loss_cls: 2.9464, decode.d0.loss_mask: 0.8191, decode.d0.loss_dice: 1.4834, decode.d1.loss_cls: 1.0509, decode.d1.loss_mask: 0.8587, decode.d1.loss_dice: 1.3507, decode.d2.loss_cls: 0.9950, decode.d2.loss_mask: 0.8378, decode.d2.loss_dice: 1.3143, decode.d3.loss_cls: 0.9782, decode.d3.loss_mask: 0.8393, decode.d3.loss_dice: 1.2978, decode.d4.loss_cls: 0.9678, decode.d4.loss_mask: 0.8420, decode.d4.loss_dice: 1.2966, decode.d5.loss_cls: 0.9592, decode.d5.loss_mask: 0.8376, decode.d5.loss_dice: 1.2943, decode.d6.loss_cls: 0.9699, decode.d6.loss_mask: 0.8253, decode.d6.loss_dice: 1.2812, decode.d7.loss_cls: 0.9658, decode.d7.loss_mask: 0.8216, decode.d7.loss_dice: 1.2782, decode.d8.loss_cls: 0.9626, decode.d8.loss_mask: 0.8254, decode.d8.loss_dice: 1.2767, loss: 33.2417 2022-04-29 07:07:26,424 - mmseg - INFO - Iter [21100/80000] lr: 1.057e-06, eta: 1 day, 6:07:00, time: 1.767, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9966, decode.loss_mask: 0.8130, decode.loss_dice: 1.3122, decode.d0.loss_cls: 3.0871, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.5248, decode.d1.loss_cls: 1.0833, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.3961, decode.d2.loss_cls: 1.0240, decode.d2.loss_mask: 0.8207, decode.d2.loss_dice: 1.3557, decode.d3.loss_cls: 0.9976, decode.d3.loss_mask: 0.8168, decode.d3.loss_dice: 1.3335, decode.d4.loss_cls: 1.0043, decode.d4.loss_mask: 0.8165, decode.d4.loss_dice: 1.3268, decode.d5.loss_cls: 0.9972, decode.d5.loss_mask: 0.8067, decode.d5.loss_dice: 1.3191, decode.d6.loss_cls: 0.9982, decode.d6.loss_mask: 0.8153, decode.d6.loss_dice: 1.3074, decode.d7.loss_cls: 0.9994, decode.d7.loss_mask: 0.8095, decode.d7.loss_dice: 1.3127, decode.d8.loss_cls: 0.9923, decode.d8.loss_mask: 0.8119, decode.d8.loss_dice: 1.3111, loss: 33.8166 2022-04-29 07:08:55,270 - mmseg - INFO - Iter [21150/80000] lr: 1.056e-06, eta: 1 day, 6:05:19, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9537, decode.loss_mask: 0.8126, decode.loss_dice: 1.2807, decode.d0.loss_cls: 3.0108, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.4872, decode.d1.loss_cls: 1.0473, decode.d1.loss_mask: 0.8275, decode.d1.loss_dice: 1.3630, decode.d2.loss_cls: 0.9799, decode.d2.loss_mask: 0.8132, decode.d2.loss_dice: 1.3062, decode.d3.loss_cls: 0.9558, decode.d3.loss_mask: 0.8118, decode.d3.loss_dice: 1.2872, decode.d4.loss_cls: 0.9585, decode.d4.loss_mask: 0.8119, decode.d4.loss_dice: 1.2934, decode.d5.loss_cls: 0.9556, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.2887, decode.d6.loss_cls: 0.9508, decode.d6.loss_mask: 0.8070, decode.d6.loss_dice: 1.2803, decode.d7.loss_cls: 0.9507, decode.d7.loss_mask: 0.8124, decode.d7.loss_dice: 1.2803, decode.d8.loss_cls: 0.9533, decode.d8.loss_mask: 0.8057, decode.d8.loss_dice: 1.2865, loss: 32.9710 2022-04-29 07:10:24,421 - mmseg - INFO - Iter [21200/80000] lr: 1.055e-06, eta: 1 day, 6:03:39, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 1.0084, decode.loss_mask: 0.8233, decode.loss_dice: 1.3163, decode.d0.loss_cls: 3.1159, decode.d0.loss_mask: 0.8053, decode.d0.loss_dice: 1.5271, decode.d1.loss_cls: 1.0977, decode.d1.loss_mask: 0.8462, decode.d1.loss_dice: 1.3944, decode.d2.loss_cls: 1.0309, decode.d2.loss_mask: 0.8335, decode.d2.loss_dice: 1.3475, decode.d3.loss_cls: 1.0180, decode.d3.loss_mask: 0.8263, decode.d3.loss_dice: 1.3286, decode.d4.loss_cls: 1.0117, decode.d4.loss_mask: 0.8239, decode.d4.loss_dice: 1.3330, decode.d5.loss_cls: 1.0080, decode.d5.loss_mask: 0.8232, decode.d5.loss_dice: 1.3236, decode.d6.loss_cls: 1.0012, decode.d6.loss_mask: 0.8180, decode.d6.loss_dice: 1.3137, decode.d7.loss_cls: 1.0033, decode.d7.loss_mask: 0.8198, decode.d7.loss_dice: 1.3075, decode.d8.loss_cls: 1.0057, decode.d8.loss_mask: 0.8228, decode.d8.loss_dice: 1.3196, loss: 34.0544 2022-04-29 07:11:54,091 - mmseg - INFO - Iter [21250/80000] lr: 1.054e-06, eta: 1 day, 6:02:00, time: 1.793, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9720, decode.loss_mask: 0.8302, decode.loss_dice: 1.2699, decode.d0.loss_cls: 3.0276, decode.d0.loss_mask: 0.8228, decode.d0.loss_dice: 1.5001, decode.d1.loss_cls: 1.0591, decode.d1.loss_mask: 0.8597, decode.d1.loss_dice: 1.3661, decode.d2.loss_cls: 0.9887, decode.d2.loss_mask: 0.8521, decode.d2.loss_dice: 1.3217, decode.d3.loss_cls: 0.9758, decode.d3.loss_mask: 0.8422, decode.d3.loss_dice: 1.2865, decode.d4.loss_cls: 0.9691, decode.d4.loss_mask: 0.8418, decode.d4.loss_dice: 1.2946, decode.d5.loss_cls: 0.9689, decode.d5.loss_mask: 0.8365, decode.d5.loss_dice: 1.2870, decode.d6.loss_cls: 0.9645, decode.d6.loss_mask: 0.8379, decode.d6.loss_dice: 1.2764, decode.d7.loss_cls: 0.9637, decode.d7.loss_mask: 0.8332, decode.d7.loss_dice: 1.2697, decode.d8.loss_cls: 0.9673, decode.d8.loss_mask: 0.8312, decode.d8.loss_dice: 1.2738, loss: 33.3901 2022-04-29 07:13:22,746 - mmseg - INFO - Iter [21300/80000] lr: 1.054e-06, eta: 1 day, 6:00:19, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9712, decode.loss_mask: 0.8027, decode.loss_dice: 1.2857, decode.d0.loss_cls: 3.0154, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.5126, decode.d1.loss_cls: 1.0668, decode.d1.loss_mask: 0.8321, decode.d1.loss_dice: 1.3858, decode.d2.loss_cls: 1.0052, decode.d2.loss_mask: 0.8166, decode.d2.loss_dice: 1.3373, decode.d3.loss_cls: 0.9887, decode.d3.loss_mask: 0.8095, decode.d3.loss_dice: 1.2984, decode.d4.loss_cls: 0.9845, decode.d4.loss_mask: 0.8024, decode.d4.loss_dice: 1.3045, decode.d5.loss_cls: 0.9792, decode.d5.loss_mask: 0.8044, decode.d5.loss_dice: 1.2900, decode.d6.loss_cls: 0.9762, decode.d6.loss_mask: 0.8055, decode.d6.loss_dice: 1.2810, decode.d7.loss_cls: 0.9693, decode.d7.loss_mask: 0.8058, decode.d7.loss_dice: 1.2822, decode.d8.loss_cls: 0.9649, decode.d8.loss_mask: 0.8043, decode.d8.loss_dice: 1.2874, loss: 33.2624 2022-04-29 07:14:52,347 - mmseg - INFO - Iter [21350/80000] lr: 1.053e-06, eta: 1 day, 5:58:40, time: 1.792, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9513, decode.loss_mask: 0.8320, decode.loss_dice: 1.2791, decode.d0.loss_cls: 3.0062, decode.d0.loss_mask: 0.8016, decode.d0.loss_dice: 1.4732, decode.d1.loss_cls: 1.0420, decode.d1.loss_mask: 0.8509, decode.d1.loss_dice: 1.3747, decode.d2.loss_cls: 0.9919, decode.d2.loss_mask: 0.8379, decode.d2.loss_dice: 1.3219, decode.d3.loss_cls: 0.9741, decode.d3.loss_mask: 0.8345, decode.d3.loss_dice: 1.2851, decode.d4.loss_cls: 0.9648, decode.d4.loss_mask: 0.8292, decode.d4.loss_dice: 1.2919, decode.d5.loss_cls: 0.9669, decode.d5.loss_mask: 0.8267, decode.d5.loss_dice: 1.2816, decode.d6.loss_cls: 0.9432, decode.d6.loss_mask: 0.8335, decode.d6.loss_dice: 1.2753, decode.d7.loss_cls: 0.9513, decode.d7.loss_mask: 0.8276, decode.d7.loss_dice: 1.2682, decode.d8.loss_cls: 0.9559, decode.d8.loss_mask: 0.8288, decode.d8.loss_dice: 1.2768, loss: 33.1780 2022-04-29 07:16:21,194 - mmseg - INFO - Iter [21400/80000] lr: 1.052e-06, eta: 1 day, 5:57:00, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9441, decode.loss_mask: 0.8404, decode.loss_dice: 1.3046, decode.d0.loss_cls: 2.9291, decode.d0.loss_mask: 0.8238, decode.d0.loss_dice: 1.5018, decode.d1.loss_cls: 1.0218, decode.d1.loss_mask: 0.8596, decode.d1.loss_dice: 1.4008, decode.d2.loss_cls: 0.9712, decode.d2.loss_mask: 0.8524, decode.d2.loss_dice: 1.3464, decode.d3.loss_cls: 0.9436, decode.d3.loss_mask: 0.8489, decode.d3.loss_dice: 1.3227, decode.d4.loss_cls: 0.9496, decode.d4.loss_mask: 0.8483, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 0.9483, decode.d5.loss_mask: 0.8448, decode.d5.loss_dice: 1.3048, decode.d6.loss_cls: 0.9338, decode.d6.loss_mask: 0.8439, decode.d6.loss_dice: 1.3039, decode.d7.loss_cls: 0.9379, decode.d7.loss_mask: 0.8451, decode.d7.loss_dice: 1.3093, decode.d8.loss_cls: 0.9377, decode.d8.loss_mask: 0.8456, decode.d8.loss_dice: 1.3061, loss: 33.3904 2022-04-29 07:17:49,611 - mmseg - INFO - Iter [21450/80000] lr: 1.051e-06, eta: 1 day, 5:55:18, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9261, decode.loss_mask: 0.7962, decode.loss_dice: 1.2672, decode.d0.loss_cls: 3.0009, decode.d0.loss_mask: 0.7874, decode.d0.loss_dice: 1.4682, decode.d1.loss_cls: 1.0107, decode.d1.loss_mask: 0.8211, decode.d1.loss_dice: 1.3360, decode.d2.loss_cls: 0.9405, decode.d2.loss_mask: 0.8204, decode.d2.loss_dice: 1.3022, decode.d3.loss_cls: 0.9299, decode.d3.loss_mask: 0.8065, decode.d3.loss_dice: 1.2942, decode.d4.loss_cls: 0.9328, decode.d4.loss_mask: 0.8032, decode.d4.loss_dice: 1.2740, decode.d5.loss_cls: 0.9274, decode.d5.loss_mask: 0.7945, decode.d5.loss_dice: 1.2686, decode.d6.loss_cls: 0.9220, decode.d6.loss_mask: 0.7947, decode.d6.loss_dice: 1.2643, decode.d7.loss_cls: 0.9242, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.2714, decode.d8.loss_cls: 0.9195, decode.d8.loss_mask: 0.7956, decode.d8.loss_dice: 1.2679, loss: 32.4622 2022-04-29 07:19:18,555 - mmseg - INFO - Iter [21500/80000] lr: 1.050e-06, eta: 1 day, 5:53:38, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9556, decode.loss_mask: 0.8186, decode.loss_dice: 1.2842, decode.d0.loss_cls: 2.9412, decode.d0.loss_mask: 0.8074, decode.d0.loss_dice: 1.4943, decode.d1.loss_cls: 1.0430, decode.d1.loss_mask: 0.8462, decode.d1.loss_dice: 1.3758, decode.d2.loss_cls: 0.9764, decode.d2.loss_mask: 0.8302, decode.d2.loss_dice: 1.3277, decode.d3.loss_cls: 0.9684, decode.d3.loss_mask: 0.8224, decode.d3.loss_dice: 1.3066, decode.d4.loss_cls: 0.9605, decode.d4.loss_mask: 0.8260, decode.d4.loss_dice: 1.3016, decode.d5.loss_cls: 0.9656, decode.d5.loss_mask: 0.8193, decode.d5.loss_dice: 1.2815, decode.d6.loss_cls: 0.9590, decode.d6.loss_mask: 0.8205, decode.d6.loss_dice: 1.2853, decode.d7.loss_cls: 0.9598, decode.d7.loss_mask: 0.8144, decode.d7.loss_dice: 1.2848, decode.d8.loss_cls: 0.9507, decode.d8.loss_mask: 0.8191, decode.d8.loss_dice: 1.2807, loss: 33.1269 2022-04-29 07:20:48,915 - mmseg - INFO - Iter [21550/80000] lr: 1.049e-06, eta: 1 day, 5:52:01, time: 1.807, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9361, decode.loss_mask: 0.8204, decode.loss_dice: 1.2919, decode.d0.loss_cls: 2.9516, decode.d0.loss_mask: 0.8031, decode.d0.loss_dice: 1.4958, decode.d1.loss_cls: 1.0284, decode.d1.loss_mask: 0.8367, decode.d1.loss_dice: 1.3736, decode.d2.loss_cls: 0.9620, decode.d2.loss_mask: 0.8305, decode.d2.loss_dice: 1.3292, decode.d3.loss_cls: 0.9485, decode.d3.loss_mask: 0.8210, decode.d3.loss_dice: 1.3147, decode.d4.loss_cls: 0.9383, decode.d4.loss_mask: 0.8250, decode.d4.loss_dice: 1.3119, decode.d5.loss_cls: 0.9374, decode.d5.loss_mask: 0.8235, decode.d5.loss_dice: 1.3072, decode.d6.loss_cls: 0.9339, decode.d6.loss_mask: 0.8201, decode.d6.loss_dice: 1.2950, decode.d7.loss_cls: 0.9283, decode.d7.loss_mask: 0.8211, decode.d7.loss_dice: 1.2883, decode.d8.loss_cls: 0.9383, decode.d8.loss_mask: 0.8196, decode.d8.loss_dice: 1.2898, loss: 33.0211 2022-04-29 07:22:17,649 - mmseg - INFO - Iter [21600/80000] lr: 1.048e-06, eta: 1 day, 5:50:20, time: 1.771, data_time: 0.018, memory: 64979, decode.loss_cls: 0.9290, decode.loss_mask: 0.8205, decode.loss_dice: 1.2693, decode.d0.loss_cls: 2.9409, decode.d0.loss_mask: 0.8017, decode.d0.loss_dice: 1.4658, decode.d1.loss_cls: 1.0109, decode.d1.loss_mask: 0.8485, decode.d1.loss_dice: 1.3510, decode.d2.loss_cls: 0.9571, decode.d2.loss_mask: 0.8346, decode.d2.loss_dice: 1.3079, decode.d3.loss_cls: 0.9403, decode.d3.loss_mask: 0.8248, decode.d3.loss_dice: 1.2830, decode.d4.loss_cls: 0.9330, decode.d4.loss_mask: 0.8303, decode.d4.loss_dice: 1.2901, decode.d5.loss_cls: 0.9323, decode.d5.loss_mask: 0.8305, decode.d5.loss_dice: 1.2732, decode.d6.loss_cls: 0.9343, decode.d6.loss_mask: 0.8237, decode.d6.loss_dice: 1.2554, decode.d7.loss_cls: 0.9279, decode.d7.loss_mask: 0.8203, decode.d7.loss_dice: 1.2640, decode.d8.loss_cls: 0.9261, decode.d8.loss_mask: 0.8243, decode.d8.loss_dice: 1.2690, loss: 32.7193 2022-04-29 07:23:47,091 - mmseg - INFO - Iter [21650/80000] lr: 1.047e-06, eta: 1 day, 5:48:42, time: 1.793, data_time: 0.020, memory: 64979, decode.loss_cls: 0.9577, decode.loss_mask: 0.8139, decode.loss_dice: 1.2801, decode.d0.loss_cls: 3.0216, decode.d0.loss_mask: 0.7890, decode.d0.loss_dice: 1.4834, decode.d1.loss_cls: 1.0599, decode.d1.loss_mask: 0.8368, decode.d1.loss_dice: 1.3680, decode.d2.loss_cls: 0.9852, decode.d2.loss_mask: 0.8218, decode.d2.loss_dice: 1.3269, decode.d3.loss_cls: 0.9682, decode.d3.loss_mask: 0.8197, decode.d3.loss_dice: 1.2997, decode.d4.loss_cls: 0.9702, decode.d4.loss_mask: 0.8169, decode.d4.loss_dice: 1.2958, decode.d5.loss_cls: 0.9649, decode.d5.loss_mask: 0.8136, decode.d5.loss_dice: 1.2892, decode.d6.loss_cls: 0.9635, decode.d6.loss_mask: 0.8063, decode.d6.loss_dice: 1.2832, decode.d7.loss_cls: 0.9516, decode.d7.loss_mask: 0.8135, decode.d7.loss_dice: 1.2835, decode.d8.loss_cls: 0.9531, decode.d8.loss_mask: 0.8167, decode.d8.loss_dice: 1.2800, loss: 33.1335 2022-04-29 07:25:16,096 - mmseg - INFO - Iter [21700/80000] lr: 1.046e-06, eta: 1 day, 5:47:02, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9345, decode.loss_mask: 0.8033, decode.loss_dice: 1.2560, decode.d0.loss_cls: 2.9880, decode.d0.loss_mask: 0.7913, decode.d0.loss_dice: 1.4592, decode.d1.loss_cls: 1.0192, decode.d1.loss_mask: 0.8244, decode.d1.loss_dice: 1.3364, decode.d2.loss_cls: 0.9564, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.2990, decode.d3.loss_cls: 0.9424, decode.d3.loss_mask: 0.8049, decode.d3.loss_dice: 1.2668, decode.d4.loss_cls: 0.9350, decode.d4.loss_mask: 0.8091, decode.d4.loss_dice: 1.2657, decode.d5.loss_cls: 0.9303, decode.d5.loss_mask: 0.8103, decode.d5.loss_dice: 1.2652, decode.d6.loss_cls: 0.9329, decode.d6.loss_mask: 0.8038, decode.d6.loss_dice: 1.2517, decode.d7.loss_cls: 0.9293, decode.d7.loss_mask: 0.8083, decode.d7.loss_dice: 1.2561, decode.d8.loss_cls: 0.9279, decode.d8.loss_mask: 0.8111, decode.d8.loss_dice: 1.2604, loss: 32.4867 2022-04-29 07:26:44,595 - mmseg - INFO - Iter [21750/80000] lr: 1.045e-06, eta: 1 day, 5:45:20, time: 1.768, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8894, decode.loss_mask: 0.8483, decode.loss_dice: 1.2812, decode.d0.loss_cls: 2.8794, decode.d0.loss_mask: 0.8303, decode.d0.loss_dice: 1.4821, decode.d1.loss_cls: 0.9827, decode.d1.loss_mask: 0.8702, decode.d1.loss_dice: 1.3712, decode.d2.loss_cls: 0.9248, decode.d2.loss_mask: 0.8625, decode.d2.loss_dice: 1.3154, decode.d3.loss_cls: 0.9061, decode.d3.loss_mask: 0.8536, decode.d3.loss_dice: 1.3039, decode.d4.loss_cls: 0.9038, decode.d4.loss_mask: 0.8546, decode.d4.loss_dice: 1.2973, decode.d5.loss_cls: 0.9046, decode.d5.loss_mask: 0.8537, decode.d5.loss_dice: 1.2848, decode.d6.loss_cls: 0.8949, decode.d6.loss_mask: 0.8518, decode.d6.loss_dice: 1.2874, decode.d7.loss_cls: 0.8970, decode.d7.loss_mask: 0.8455, decode.d7.loss_dice: 1.2855, decode.d8.loss_cls: 0.8912, decode.d8.loss_mask: 0.8481, decode.d8.loss_dice: 1.2881, loss: 32.7896 2022-04-29 07:28:13,496 - mmseg - INFO - Iter [21800/80000] lr: 1.045e-06, eta: 1 day, 5:43:41, time: 1.780, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9168, decode.loss_mask: 0.8195, decode.loss_dice: 1.2509, decode.d0.loss_cls: 2.9680, decode.d0.loss_mask: 0.7953, decode.d0.loss_dice: 1.4490, decode.d1.loss_cls: 0.9936, decode.d1.loss_mask: 0.8437, decode.d1.loss_dice: 1.3303, decode.d2.loss_cls: 0.9430, decode.d2.loss_mask: 0.8258, decode.d2.loss_dice: 1.2845, decode.d3.loss_cls: 0.9284, decode.d3.loss_mask: 0.8208, decode.d3.loss_dice: 1.2606, decode.d4.loss_cls: 0.9258, decode.d4.loss_mask: 0.8186, decode.d4.loss_dice: 1.2650, decode.d5.loss_cls: 0.9326, decode.d5.loss_mask: 0.8155, decode.d5.loss_dice: 1.2424, decode.d6.loss_cls: 0.9227, decode.d6.loss_mask: 0.8112, decode.d6.loss_dice: 1.2410, decode.d7.loss_cls: 0.9169, decode.d7.loss_mask: 0.8124, decode.d7.loss_dice: 1.2446, decode.d8.loss_cls: 0.9131, decode.d8.loss_mask: 0.8158, decode.d8.loss_dice: 1.2421, loss: 32.3500 2022-04-29 07:29:41,930 - mmseg - INFO - Iter [21850/80000] lr: 1.044e-06, eta: 1 day, 5:41:59, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9396, decode.loss_mask: 0.8436, decode.loss_dice: 1.2713, decode.d0.loss_cls: 2.9723, decode.d0.loss_mask: 0.8208, decode.d0.loss_dice: 1.4768, decode.d1.loss_cls: 1.0259, decode.d1.loss_mask: 0.8732, decode.d1.loss_dice: 1.3581, decode.d2.loss_cls: 0.9750, decode.d2.loss_mask: 0.8487, decode.d2.loss_dice: 1.3142, decode.d3.loss_cls: 0.9569, decode.d3.loss_mask: 0.8378, decode.d3.loss_dice: 1.2827, decode.d4.loss_cls: 0.9510, decode.d4.loss_mask: 0.8402, decode.d4.loss_dice: 1.2786, decode.d5.loss_cls: 0.9427, decode.d5.loss_mask: 0.8411, decode.d5.loss_dice: 1.2656, decode.d6.loss_cls: 0.9416, decode.d6.loss_mask: 0.8401, decode.d6.loss_dice: 1.2610, decode.d7.loss_cls: 0.9382, decode.d7.loss_mask: 0.8356, decode.d7.loss_dice: 1.2582, decode.d8.loss_cls: 0.9388, decode.d8.loss_mask: 0.8401, decode.d8.loss_dice: 1.2674, loss: 33.0373 2022-04-29 07:31:10,921 - mmseg - INFO - Iter [21900/80000] lr: 1.043e-06, eta: 1 day, 5:40:19, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9561, decode.loss_mask: 0.8088, decode.loss_dice: 1.2659, decode.d0.loss_cls: 2.9922, decode.d0.loss_mask: 0.7882, decode.d0.loss_dice: 1.4730, decode.d1.loss_cls: 1.0350, decode.d1.loss_mask: 0.8320, decode.d1.loss_dice: 1.3560, decode.d2.loss_cls: 0.9744, decode.d2.loss_mask: 0.8182, decode.d2.loss_dice: 1.3156, decode.d3.loss_cls: 0.9610, decode.d3.loss_mask: 0.8097, decode.d3.loss_dice: 1.2715, decode.d4.loss_cls: 0.9591, decode.d4.loss_mask: 0.8086, decode.d4.loss_dice: 1.2730, decode.d5.loss_cls: 0.9529, decode.d5.loss_mask: 0.8095, decode.d5.loss_dice: 1.2600, decode.d6.loss_cls: 0.9536, decode.d6.loss_mask: 0.8021, decode.d6.loss_dice: 1.2574, decode.d7.loss_cls: 0.9538, decode.d7.loss_mask: 0.8031, decode.d7.loss_dice: 1.2593, decode.d8.loss_cls: 0.9476, decode.d8.loss_mask: 0.8090, decode.d8.loss_dice: 1.2591, loss: 32.7657 2022-04-29 07:32:39,967 - mmseg - INFO - Iter [21950/80000] lr: 1.042e-06, eta: 1 day, 5:38:40, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9521, decode.loss_mask: 0.8336, decode.loss_dice: 1.2552, decode.d0.loss_cls: 2.9291, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.4714, decode.d1.loss_cls: 1.0208, decode.d1.loss_mask: 0.8561, decode.d1.loss_dice: 1.3589, decode.d2.loss_cls: 0.9641, decode.d2.loss_mask: 0.8435, decode.d2.loss_dice: 1.3064, decode.d3.loss_cls: 0.9575, decode.d3.loss_mask: 0.8290, decode.d3.loss_dice: 1.2844, decode.d4.loss_cls: 0.9489, decode.d4.loss_mask: 0.8304, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 0.9554, decode.d5.loss_mask: 0.8258, decode.d5.loss_dice: 1.2733, decode.d6.loss_cls: 0.9450, decode.d6.loss_mask: 0.8312, decode.d6.loss_dice: 1.2654, decode.d7.loss_cls: 0.9456, decode.d7.loss_mask: 0.8333, decode.d7.loss_dice: 1.2656, decode.d8.loss_cls: 0.9501, decode.d8.loss_mask: 0.8329, decode.d8.loss_dice: 1.2639, loss: 32.9279 2022-04-29 07:34:08,404 - mmseg - INFO - Saving checkpoint at 22000 iterations 2022-04-29 07:34:26,109 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 07:34:26,116 - mmseg - INFO - Iter [22000/80000] lr: 1.041e-06, eta: 1 day, 5:37:45, time: 2.122, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9265, decode.loss_mask: 0.8273, decode.loss_dice: 1.2606, decode.d0.loss_cls: 2.9436, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.4681, decode.d1.loss_cls: 1.0164, decode.d1.loss_mask: 0.8570, decode.d1.loss_dice: 1.3381, decode.d2.loss_cls: 0.9507, decode.d2.loss_mask: 0.8436, decode.d2.loss_dice: 1.2989, decode.d3.loss_cls: 0.9427, decode.d3.loss_mask: 0.8372, decode.d3.loss_dice: 1.2764, decode.d4.loss_cls: 0.9385, decode.d4.loss_mask: 0.8353, decode.d4.loss_dice: 1.2790, decode.d5.loss_cls: 0.9299, decode.d5.loss_mask: 0.8261, decode.d5.loss_dice: 1.2747, decode.d6.loss_cls: 0.9224, decode.d6.loss_mask: 0.8299, decode.d6.loss_dice: 1.2692, decode.d7.loss_cls: 0.9194, decode.d7.loss_mask: 0.8318, decode.d7.loss_dice: 1.2660, decode.d8.loss_cls: 0.9202, decode.d8.loss_mask: 0.8232, decode.d8.loss_dice: 1.2629, loss: 32.7319 2022-04-29 07:35:56,194 - mmseg - INFO - Iter [22050/80000] lr: 1.040e-06, eta: 1 day, 5:36:09, time: 1.802, data_time: 0.025, memory: 64979, decode.loss_cls: 0.9462, decode.loss_mask: 0.8365, decode.loss_dice: 1.2992, decode.d0.loss_cls: 2.9994, decode.d0.loss_mask: 0.8385, decode.d0.loss_dice: 1.5145, decode.d1.loss_cls: 1.0374, decode.d1.loss_mask: 0.8605, decode.d1.loss_dice: 1.4037, decode.d2.loss_cls: 0.9765, decode.d2.loss_mask: 0.8507, decode.d2.loss_dice: 1.3397, decode.d3.loss_cls: 0.9596, decode.d3.loss_mask: 0.8407, decode.d3.loss_dice: 1.3199, decode.d4.loss_cls: 0.9525, decode.d4.loss_mask: 0.8382, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 0.9481, decode.d5.loss_mask: 0.8382, decode.d5.loss_dice: 1.3082, decode.d6.loss_cls: 0.9511, decode.d6.loss_mask: 0.8365, decode.d6.loss_dice: 1.2997, decode.d7.loss_cls: 0.9467, decode.d7.loss_mask: 0.8372, decode.d7.loss_dice: 1.2997, decode.d8.loss_cls: 0.9422, decode.d8.loss_mask: 0.8405, decode.d8.loss_dice: 1.3065, loss: 33.4884 2022-04-29 07:37:25,837 - mmseg - INFO - Iter [22100/80000] lr: 1.039e-06, eta: 1 day, 5:34:30, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9575, decode.loss_mask: 0.7876, decode.loss_dice: 1.2710, decode.d0.loss_cls: 3.0136, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.4772, decode.d1.loss_cls: 1.0451, decode.d1.loss_mask: 0.8104, decode.d1.loss_dice: 1.3538, decode.d2.loss_cls: 0.9836, decode.d2.loss_mask: 0.8007, decode.d2.loss_dice: 1.3134, decode.d3.loss_cls: 0.9664, decode.d3.loss_mask: 0.8010, decode.d3.loss_dice: 1.2823, decode.d4.loss_cls: 0.9688, decode.d4.loss_mask: 0.7954, decode.d4.loss_dice: 1.2900, decode.d5.loss_cls: 0.9612, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.2755, decode.d6.loss_cls: 0.9597, decode.d6.loss_mask: 0.7841, decode.d6.loss_dice: 1.2714, decode.d7.loss_cls: 0.9578, decode.d7.loss_mask: 0.7894, decode.d7.loss_dice: 1.2749, decode.d8.loss_cls: 0.9608, decode.d8.loss_mask: 0.7846, decode.d8.loss_dice: 1.2664, loss: 32.7778 2022-04-29 07:38:54,966 - mmseg - INFO - Iter [22150/80000] lr: 1.038e-06, eta: 1 day, 5:32:51, time: 1.784, data_time: 0.018, memory: 64979, decode.loss_cls: 0.9545, decode.loss_mask: 0.8156, decode.loss_dice: 1.3072, decode.d0.loss_cls: 2.9923, decode.d0.loss_mask: 0.8081, decode.d0.loss_dice: 1.5017, decode.d1.loss_cls: 1.0500, decode.d1.loss_mask: 0.8511, decode.d1.loss_dice: 1.3898, decode.d2.loss_cls: 0.9815, decode.d2.loss_mask: 0.8335, decode.d2.loss_dice: 1.3495, decode.d3.loss_cls: 0.9636, decode.d3.loss_mask: 0.8316, decode.d3.loss_dice: 1.3242, decode.d4.loss_cls: 0.9530, decode.d4.loss_mask: 0.8284, decode.d4.loss_dice: 1.3274, decode.d5.loss_cls: 0.9528, decode.d5.loss_mask: 0.8215, decode.d5.loss_dice: 1.3091, decode.d6.loss_cls: 0.9499, decode.d6.loss_mask: 0.8179, decode.d6.loss_dice: 1.2960, decode.d7.loss_cls: 0.9478, decode.d7.loss_mask: 0.8229, decode.d7.loss_dice: 1.3045, decode.d8.loss_cls: 0.9536, decode.d8.loss_mask: 0.8227, decode.d8.loss_dice: 1.3059, loss: 33.3676 2022-04-29 07:40:27,120 - mmseg - INFO - Iter [22200/80000] lr: 1.037e-06, eta: 1 day, 5:31:20, time: 1.843, data_time: 0.061, memory: 64979, decode.loss_cls: 0.9089, decode.loss_mask: 0.8222, decode.loss_dice: 1.2685, decode.d0.loss_cls: 2.9399, decode.d0.loss_mask: 0.8086, decode.d0.loss_dice: 1.4671, decode.d1.loss_cls: 0.9980, decode.d1.loss_mask: 0.8397, decode.d1.loss_dice: 1.3501, decode.d2.loss_cls: 0.9327, decode.d2.loss_mask: 0.8310, decode.d2.loss_dice: 1.2950, decode.d3.loss_cls: 0.9269, decode.d3.loss_mask: 0.8215, decode.d3.loss_dice: 1.2797, decode.d4.loss_cls: 0.9208, decode.d4.loss_mask: 0.8218, decode.d4.loss_dice: 1.2764, decode.d5.loss_cls: 0.9200, decode.d5.loss_mask: 0.8226, decode.d5.loss_dice: 1.2642, decode.d6.loss_cls: 0.9060, decode.d6.loss_mask: 0.8219, decode.d6.loss_dice: 1.2589, decode.d7.loss_cls: 0.9108, decode.d7.loss_mask: 0.8223, decode.d7.loss_dice: 1.2635, decode.d8.loss_cls: 0.9072, decode.d8.loss_mask: 0.8247, decode.d8.loss_dice: 1.2633, loss: 32.4942 2022-04-29 07:41:55,223 - mmseg - INFO - Iter [22250/80000] lr: 1.036e-06, eta: 1 day, 5:29:38, time: 1.761, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9652, decode.loss_mask: 0.8362, decode.loss_dice: 1.2931, decode.d0.loss_cls: 2.9905, decode.d0.loss_mask: 0.8267, decode.d0.loss_dice: 1.5023, decode.d1.loss_cls: 1.0387, decode.d1.loss_mask: 0.8712, decode.d1.loss_dice: 1.3987, decode.d2.loss_cls: 0.9921, decode.d2.loss_mask: 0.8527, decode.d2.loss_dice: 1.3336, decode.d3.loss_cls: 0.9754, decode.d3.loss_mask: 0.8463, decode.d3.loss_dice: 1.3043, decode.d4.loss_cls: 0.9700, decode.d4.loss_mask: 0.8473, decode.d4.loss_dice: 1.3034, decode.d5.loss_cls: 0.9550, decode.d5.loss_mask: 0.8436, decode.d5.loss_dice: 1.2977, decode.d6.loss_cls: 0.9569, decode.d6.loss_mask: 0.8430, decode.d6.loss_dice: 1.2870, decode.d7.loss_cls: 0.9583, decode.d7.loss_mask: 0.8440, decode.d7.loss_dice: 1.2917, decode.d8.loss_cls: 0.9585, decode.d8.loss_mask: 0.8377, decode.d8.loss_dice: 1.2921, loss: 33.5133 2022-04-29 07:43:24,644 - mmseg - INFO - Iter [22300/80000] lr: 1.036e-06, eta: 1 day, 5:28:00, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9231, decode.loss_mask: 0.8072, decode.loss_dice: 1.2394, decode.d0.loss_cls: 2.9265, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.4464, decode.d1.loss_cls: 1.0191, decode.d1.loss_mask: 0.8368, decode.d1.loss_dice: 1.3245, decode.d2.loss_cls: 0.9566, decode.d2.loss_mask: 0.8214, decode.d2.loss_dice: 1.2674, decode.d3.loss_cls: 0.9268, decode.d3.loss_mask: 0.8179, decode.d3.loss_dice: 1.2507, decode.d4.loss_cls: 0.9342, decode.d4.loss_mask: 0.8147, decode.d4.loss_dice: 1.2501, decode.d5.loss_cls: 0.9207, decode.d5.loss_mask: 0.8137, decode.d5.loss_dice: 1.2479, decode.d6.loss_cls: 0.9202, decode.d6.loss_mask: 0.8129, decode.d6.loss_dice: 1.2355, decode.d7.loss_cls: 0.9179, decode.d7.loss_mask: 0.8132, decode.d7.loss_dice: 1.2422, decode.d8.loss_cls: 0.9128, decode.d8.loss_mask: 0.8147, decode.d8.loss_dice: 1.2469, loss: 32.2623 2022-04-29 07:44:55,313 - mmseg - INFO - Iter [22350/80000] lr: 1.035e-06, eta: 1 day, 5:26:24, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9410, decode.loss_mask: 0.8175, decode.loss_dice: 1.2558, decode.d0.loss_cls: 2.9754, decode.d0.loss_mask: 0.8019, decode.d0.loss_dice: 1.4682, decode.d1.loss_cls: 1.0274, decode.d1.loss_mask: 0.8399, decode.d1.loss_dice: 1.3475, decode.d2.loss_cls: 0.9698, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.3016, decode.d3.loss_cls: 0.9617, decode.d3.loss_mask: 0.8208, decode.d3.loss_dice: 1.2785, decode.d4.loss_cls: 0.9526, decode.d4.loss_mask: 0.8232, decode.d4.loss_dice: 1.2739, decode.d5.loss_cls: 0.9409, decode.d5.loss_mask: 0.8168, decode.d5.loss_dice: 1.2707, decode.d6.loss_cls: 0.9381, decode.d6.loss_mask: 0.8186, decode.d6.loss_dice: 1.2594, decode.d7.loss_cls: 0.9439, decode.d7.loss_mask: 0.8192, decode.d7.loss_dice: 1.2624, decode.d8.loss_cls: 0.9376, decode.d8.loss_mask: 0.8164, decode.d8.loss_dice: 1.2623, loss: 32.7746 2022-04-29 07:46:24,174 - mmseg - INFO - Iter [22400/80000] lr: 1.034e-06, eta: 1 day, 5:24:45, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9459, decode.loss_mask: 0.7908, decode.loss_dice: 1.2459, decode.d0.loss_cls: 2.9600, decode.d0.loss_mask: 0.7727, decode.d0.loss_dice: 1.4477, decode.d1.loss_cls: 1.0317, decode.d1.loss_mask: 0.8163, decode.d1.loss_dice: 1.3294, decode.d2.loss_cls: 0.9699, decode.d2.loss_mask: 0.7992, decode.d2.loss_dice: 1.2865, decode.d3.loss_cls: 0.9517, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2589, decode.d4.loss_cls: 0.9453, decode.d4.loss_mask: 0.7938, decode.d4.loss_dice: 1.2619, decode.d5.loss_cls: 0.9391, decode.d5.loss_mask: 0.7940, decode.d5.loss_dice: 1.2568, decode.d6.loss_cls: 0.9417, decode.d6.loss_mask: 0.7943, decode.d6.loss_dice: 1.2469, decode.d7.loss_cls: 0.9343, decode.d7.loss_mask: 0.7910, decode.d7.loss_dice: 1.2508, decode.d8.loss_cls: 0.9332, decode.d8.loss_mask: 0.7935, decode.d8.loss_dice: 1.2404, loss: 32.3212 2022-04-29 07:47:53,214 - mmseg - INFO - Iter [22450/80000] lr: 1.033e-06, eta: 1 day, 5:23:05, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8998, decode.loss_mask: 0.7810, decode.loss_dice: 1.2682, decode.d0.loss_cls: 2.9677, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.4771, decode.d1.loss_cls: 1.0085, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.3528, decode.d2.loss_cls: 0.9290, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.3124, decode.d3.loss_cls: 0.9260, decode.d3.loss_mask: 0.7905, decode.d3.loss_dice: 1.2803, decode.d4.loss_cls: 0.9204, decode.d4.loss_mask: 0.7864, decode.d4.loss_dice: 1.2822, decode.d5.loss_cls: 0.9135, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.2767, decode.d6.loss_cls: 0.9043, decode.d6.loss_mask: 0.7791, decode.d6.loss_dice: 1.2675, decode.d7.loss_cls: 0.9025, decode.d7.loss_mask: 0.7812, decode.d7.loss_dice: 1.2702, decode.d8.loss_cls: 0.8993, decode.d8.loss_mask: 0.7850, decode.d8.loss_dice: 1.2618, loss: 32.1868 2022-04-29 07:49:22,299 - mmseg - INFO - Iter [22500/80000] lr: 1.032e-06, eta: 1 day, 5:21:26, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9422, decode.loss_mask: 0.8360, decode.loss_dice: 1.2715, decode.d0.loss_cls: 2.9917, decode.d0.loss_mask: 0.8091, decode.d0.loss_dice: 1.4597, decode.d1.loss_cls: 1.0332, decode.d1.loss_mask: 0.8544, decode.d1.loss_dice: 1.3562, decode.d2.loss_cls: 0.9719, decode.d2.loss_mask: 0.8455, decode.d2.loss_dice: 1.3025, decode.d3.loss_cls: 0.9564, decode.d3.loss_mask: 0.8432, decode.d3.loss_dice: 1.2827, decode.d4.loss_cls: 0.9566, decode.d4.loss_mask: 0.8367, decode.d4.loss_dice: 1.2791, decode.d5.loss_cls: 0.9577, decode.d5.loss_mask: 0.8361, decode.d5.loss_dice: 1.2718, decode.d6.loss_cls: 0.9410, decode.d6.loss_mask: 0.8351, decode.d6.loss_dice: 1.2684, decode.d7.loss_cls: 0.9472, decode.d7.loss_mask: 0.8373, decode.d7.loss_dice: 1.2695, decode.d8.loss_cls: 0.9413, decode.d8.loss_mask: 0.8407, decode.d8.loss_dice: 1.2665, loss: 33.0415 2022-04-29 07:50:50,873 - mmseg - INFO - Iter [22550/80000] lr: 1.031e-06, eta: 1 day, 5:19:46, time: 1.772, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9329, decode.loss_mask: 0.8139, decode.loss_dice: 1.2710, decode.d0.loss_cls: 2.9423, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.4760, decode.d1.loss_cls: 1.0268, decode.d1.loss_mask: 0.8375, decode.d1.loss_dice: 1.3683, decode.d2.loss_cls: 0.9563, decode.d2.loss_mask: 0.8213, decode.d2.loss_dice: 1.3117, decode.d3.loss_cls: 0.9492, decode.d3.loss_mask: 0.8163, decode.d3.loss_dice: 1.2857, decode.d4.loss_cls: 0.9395, decode.d4.loss_mask: 0.8180, decode.d4.loss_dice: 1.2761, decode.d5.loss_cls: 0.9375, decode.d5.loss_mask: 0.8191, decode.d5.loss_dice: 1.2762, decode.d6.loss_cls: 0.9316, decode.d6.loss_mask: 0.8155, decode.d6.loss_dice: 1.2654, decode.d7.loss_cls: 0.9310, decode.d7.loss_mask: 0.8192, decode.d7.loss_dice: 1.2651, decode.d8.loss_cls: 0.9238, decode.d8.loss_mask: 0.8122, decode.d8.loss_dice: 1.2711, loss: 32.7202 2022-04-29 07:52:19,342 - mmseg - INFO - Iter [22600/80000] lr: 1.030e-06, eta: 1 day, 5:18:05, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8971, decode.loss_mask: 0.8469, decode.loss_dice: 1.2487, decode.d0.loss_cls: 2.8785, decode.d0.loss_mask: 0.8349, decode.d0.loss_dice: 1.4387, decode.d1.loss_cls: 0.9783, decode.d1.loss_mask: 0.8731, decode.d1.loss_dice: 1.3302, decode.d2.loss_cls: 0.9199, decode.d2.loss_mask: 0.8602, decode.d2.loss_dice: 1.2945, decode.d3.loss_cls: 0.9046, decode.d3.loss_mask: 0.8508, decode.d3.loss_dice: 1.2607, decode.d4.loss_cls: 0.9017, decode.d4.loss_mask: 0.8478, decode.d4.loss_dice: 1.2599, decode.d5.loss_cls: 0.8982, decode.d5.loss_mask: 0.8469, decode.d5.loss_dice: 1.2657, decode.d6.loss_cls: 0.8962, decode.d6.loss_mask: 0.8441, decode.d6.loss_dice: 1.2502, decode.d7.loss_cls: 0.8950, decode.d7.loss_mask: 0.8434, decode.d7.loss_dice: 1.2506, decode.d8.loss_cls: 0.8917, decode.d8.loss_mask: 0.8485, decode.d8.loss_dice: 1.2549, loss: 32.4118 2022-04-29 07:53:47,713 - mmseg - INFO - Iter [22650/80000] lr: 1.029e-06, eta: 1 day, 5:16:25, time: 1.767, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9396, decode.loss_mask: 0.8137, decode.loss_dice: 1.2730, decode.d0.loss_cls: 2.9482, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.4829, decode.d1.loss_cls: 1.0198, decode.d1.loss_mask: 0.8361, decode.d1.loss_dice: 1.3666, decode.d2.loss_cls: 0.9605, decode.d2.loss_mask: 0.8248, decode.d2.loss_dice: 1.3150, decode.d3.loss_cls: 0.9516, decode.d3.loss_mask: 0.8163, decode.d3.loss_dice: 1.2914, decode.d4.loss_cls: 0.9504, decode.d4.loss_mask: 0.8146, decode.d4.loss_dice: 1.2850, decode.d5.loss_cls: 0.9443, decode.d5.loss_mask: 0.8159, decode.d5.loss_dice: 1.2787, decode.d6.loss_cls: 0.9422, decode.d6.loss_mask: 0.8097, decode.d6.loss_dice: 1.2749, decode.d7.loss_cls: 0.9425, decode.d7.loss_mask: 0.8118, decode.d7.loss_dice: 1.2716, decode.d8.loss_cls: 0.9371, decode.d8.loss_mask: 0.8152, decode.d8.loss_dice: 1.2730, loss: 32.8070 2022-04-29 07:55:16,514 - mmseg - INFO - Iter [22700/80000] lr: 1.028e-06, eta: 1 day, 5:14:45, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9788, decode.loss_mask: 0.8012, decode.loss_dice: 1.2844, decode.d0.loss_cls: 3.0195, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.4883, decode.d1.loss_cls: 1.0577, decode.d1.loss_mask: 0.8363, decode.d1.loss_dice: 1.3782, decode.d2.loss_cls: 1.0051, decode.d2.loss_mask: 0.8174, decode.d2.loss_dice: 1.3362, decode.d3.loss_cls: 0.9940, decode.d3.loss_mask: 0.8103, decode.d3.loss_dice: 1.3076, decode.d4.loss_cls: 0.9918, decode.d4.loss_mask: 0.8058, decode.d4.loss_dice: 1.3015, decode.d5.loss_cls: 0.9882, decode.d5.loss_mask: 0.8040, decode.d5.loss_dice: 1.2915, decode.d6.loss_cls: 0.9760, decode.d6.loss_mask: 0.8016, decode.d6.loss_dice: 1.2811, decode.d7.loss_cls: 0.9855, decode.d7.loss_mask: 0.8060, decode.d7.loss_dice: 1.2777, decode.d8.loss_cls: 0.9712, decode.d8.loss_mask: 0.8064, decode.d8.loss_dice: 1.2876, loss: 33.2814 2022-04-29 07:56:45,060 - mmseg - INFO - Iter [22750/80000] lr: 1.028e-06, eta: 1 day, 5:13:05, time: 1.772, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8952, decode.loss_mask: 0.7830, decode.loss_dice: 1.2357, decode.d0.loss_cls: 2.9149, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.4308, decode.d1.loss_cls: 0.9788, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.3264, decode.d2.loss_cls: 0.9198, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2745, decode.d3.loss_cls: 0.9121, decode.d3.loss_mask: 0.7882, decode.d3.loss_dice: 1.2451, decode.d4.loss_cls: 0.9116, decode.d4.loss_mask: 0.7818, decode.d4.loss_dice: 1.2419, decode.d5.loss_cls: 0.8988, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2349, decode.d6.loss_cls: 0.8993, decode.d6.loss_mask: 0.7791, decode.d6.loss_dice: 1.2263, decode.d7.loss_cls: 0.8973, decode.d7.loss_mask: 0.7843, decode.d7.loss_dice: 1.2324, decode.d8.loss_cls: 0.8902, decode.d8.loss_mask: 0.7856, decode.d8.loss_dice: 1.2359, loss: 31.6475 2022-04-29 07:58:14,297 - mmseg - INFO - Iter [22800/80000] lr: 1.027e-06, eta: 1 day, 5:11:26, time: 1.785, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9417, decode.loss_mask: 0.8029, decode.loss_dice: 1.2476, decode.d0.loss_cls: 2.9561, decode.d0.loss_mask: 0.7834, decode.d0.loss_dice: 1.4570, decode.d1.loss_cls: 1.0031, decode.d1.loss_mask: 0.8310, decode.d1.loss_dice: 1.3385, decode.d2.loss_cls: 0.9529, decode.d2.loss_mask: 0.8157, decode.d2.loss_dice: 1.2986, decode.d3.loss_cls: 0.9464, decode.d3.loss_mask: 0.8063, decode.d3.loss_dice: 1.2602, decode.d4.loss_cls: 0.9400, decode.d4.loss_mask: 0.8035, decode.d4.loss_dice: 1.2615, decode.d5.loss_cls: 0.9371, decode.d5.loss_mask: 0.8021, decode.d5.loss_dice: 1.2539, decode.d6.loss_cls: 0.9290, decode.d6.loss_mask: 0.8038, decode.d6.loss_dice: 1.2442, decode.d7.loss_cls: 0.9390, decode.d7.loss_mask: 0.7994, decode.d7.loss_dice: 1.2485, decode.d8.loss_cls: 0.9378, decode.d8.loss_mask: 0.8005, decode.d8.loss_dice: 1.2542, loss: 32.3958 2022-04-29 07:59:43,061 - mmseg - INFO - Iter [22850/80000] lr: 1.026e-06, eta: 1 day, 5:09:46, time: 1.774, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9217, decode.loss_mask: 0.7958, decode.loss_dice: 1.2657, decode.d0.loss_cls: 2.9462, decode.d0.loss_mask: 0.7780, decode.d0.loss_dice: 1.4635, decode.d1.loss_cls: 1.0159, decode.d1.loss_mask: 0.8233, decode.d1.loss_dice: 1.3491, decode.d2.loss_cls: 0.9538, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.3091, decode.d3.loss_cls: 0.9371, decode.d3.loss_mask: 0.8060, decode.d3.loss_dice: 1.2813, decode.d4.loss_cls: 0.9283, decode.d4.loss_mask: 0.8059, decode.d4.loss_dice: 1.2786, decode.d5.loss_cls: 0.9295, decode.d5.loss_mask: 0.7926, decode.d5.loss_dice: 1.2699, decode.d6.loss_cls: 0.9225, decode.d6.loss_mask: 0.7889, decode.d6.loss_dice: 1.2577, decode.d7.loss_cls: 0.9155, decode.d7.loss_mask: 0.7926, decode.d7.loss_dice: 1.2627, decode.d8.loss_cls: 0.9123, decode.d8.loss_mask: 0.7929, decode.d8.loss_dice: 1.2657, loss: 32.3701 2022-04-29 08:01:11,488 - mmseg - INFO - Iter [22900/80000] lr: 1.025e-06, eta: 1 day, 5:08:06, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8931, decode.loss_mask: 0.8013, decode.loss_dice: 1.2052, decode.d0.loss_cls: 2.9066, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.4260, decode.d1.loss_cls: 0.9748, decode.d1.loss_mask: 0.8235, decode.d1.loss_dice: 1.3051, decode.d2.loss_cls: 0.9090, decode.d2.loss_mask: 0.8116, decode.d2.loss_dice: 1.2569, decode.d3.loss_cls: 0.8985, decode.d3.loss_mask: 0.8082, decode.d3.loss_dice: 1.2276, decode.d4.loss_cls: 0.8963, decode.d4.loss_mask: 0.8077, decode.d4.loss_dice: 1.2240, decode.d5.loss_cls: 0.8904, decode.d5.loss_mask: 0.8051, decode.d5.loss_dice: 1.2196, decode.d6.loss_cls: 0.8900, decode.d6.loss_mask: 0.8007, decode.d6.loss_dice: 1.2071, decode.d7.loss_cls: 0.8927, decode.d7.loss_mask: 0.7962, decode.d7.loss_dice: 1.2034, decode.d8.loss_cls: 0.8794, decode.d8.loss_mask: 0.8059, decode.d8.loss_dice: 1.2088, loss: 31.5616 2022-04-29 08:02:40,061 - mmseg - INFO - Iter [22950/80000] lr: 1.024e-06, eta: 1 day, 5:06:26, time: 1.771, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9206, decode.loss_mask: 0.8076, decode.loss_dice: 1.2488, decode.d0.loss_cls: 2.9374, decode.d0.loss_mask: 0.7899, decode.d0.loss_dice: 1.4593, decode.d1.loss_cls: 1.0213, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.3371, decode.d2.loss_cls: 0.9505, decode.d2.loss_mask: 0.8175, decode.d2.loss_dice: 1.2873, decode.d3.loss_cls: 0.9373, decode.d3.loss_mask: 0.8119, decode.d3.loss_dice: 1.2551, decode.d4.loss_cls: 0.9281, decode.d4.loss_mask: 0.8137, decode.d4.loss_dice: 1.2655, decode.d5.loss_cls: 0.9253, decode.d5.loss_mask: 0.8105, decode.d5.loss_dice: 1.2522, decode.d6.loss_cls: 0.9266, decode.d6.loss_mask: 0.8082, decode.d6.loss_dice: 1.2475, decode.d7.loss_cls: 0.9221, decode.d7.loss_mask: 0.8083, decode.d7.loss_dice: 1.2413, decode.d8.loss_cls: 0.9236, decode.d8.loss_mask: 0.8038, decode.d8.loss_dice: 1.2493, loss: 32.3406 2022-04-29 08:04:08,194 - mmseg - INFO - Saving checkpoint at 23000 iterations 2022-04-29 08:04:26,944 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 08:04:26,951 - mmseg - INFO - Iter [23000/80000] lr: 1.023e-06, eta: 1 day, 5:05:32, time: 2.137, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9668, decode.loss_mask: 0.8197, decode.loss_dice: 1.2975, decode.d0.loss_cls: 2.9694, decode.d0.loss_mask: 0.8141, decode.d0.loss_dice: 1.5251, decode.d1.loss_cls: 1.0475, decode.d1.loss_mask: 0.8481, decode.d1.loss_dice: 1.3966, decode.d2.loss_cls: 0.9920, decode.d2.loss_mask: 0.8332, decode.d2.loss_dice: 1.3550, decode.d3.loss_cls: 0.9759, decode.d3.loss_mask: 0.8258, decode.d3.loss_dice: 1.3137, decode.d4.loss_cls: 0.9769, decode.d4.loss_mask: 0.8226, decode.d4.loss_dice: 1.3097, decode.d5.loss_cls: 0.9691, decode.d5.loss_mask: 0.8199, decode.d5.loss_dice: 1.3062, decode.d6.loss_cls: 0.9612, decode.d6.loss_mask: 0.8178, decode.d6.loss_dice: 1.3009, decode.d7.loss_cls: 0.9737, decode.d7.loss_mask: 0.8138, decode.d7.loss_dice: 1.3020, decode.d8.loss_cls: 0.9695, decode.d8.loss_mask: 0.8164, decode.d8.loss_dice: 1.3009, loss: 33.4409 2022-04-29 08:05:56,148 - mmseg - INFO - Iter [23050/80000] lr: 1.022e-06, eta: 1 day, 5:03:53, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9105, decode.loss_mask: 0.7923, decode.loss_dice: 1.2660, decode.d0.loss_cls: 2.9317, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.4673, decode.d1.loss_cls: 0.9952, decode.d1.loss_mask: 0.8205, decode.d1.loss_dice: 1.3570, decode.d2.loss_cls: 0.9364, decode.d2.loss_mask: 0.8007, decode.d2.loss_dice: 1.3012, decode.d3.loss_cls: 0.9229, decode.d3.loss_mask: 0.7960, decode.d3.loss_dice: 1.2736, decode.d4.loss_cls: 0.9157, decode.d4.loss_mask: 0.7964, decode.d4.loss_dice: 1.2763, decode.d5.loss_cls: 0.9088, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.2721, decode.d6.loss_cls: 0.9087, decode.d6.loss_mask: 0.7953, decode.d6.loss_dice: 1.2591, decode.d7.loss_cls: 0.9124, decode.d7.loss_mask: 0.7916, decode.d7.loss_dice: 1.2601, decode.d8.loss_cls: 0.9031, decode.d8.loss_mask: 0.7920, decode.d8.loss_dice: 1.2631, loss: 32.2044 2022-04-29 08:07:23,723 - mmseg - INFO - Iter [23100/80000] lr: 1.021e-06, eta: 1 day, 5:02:11, time: 1.750, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8806, decode.loss_mask: 0.8055, decode.loss_dice: 1.2464, decode.d0.loss_cls: 2.9061, decode.d0.loss_mask: 0.7982, decode.d0.loss_dice: 1.4516, decode.d1.loss_cls: 0.9690, decode.d1.loss_mask: 0.8399, decode.d1.loss_dice: 1.3348, decode.d2.loss_cls: 0.9052, decode.d2.loss_mask: 0.8234, decode.d2.loss_dice: 1.2918, decode.d3.loss_cls: 0.8911, decode.d3.loss_mask: 0.8200, decode.d3.loss_dice: 1.2665, decode.d4.loss_cls: 0.8811, decode.d4.loss_mask: 0.8180, decode.d4.loss_dice: 1.2640, decode.d5.loss_cls: 0.8807, decode.d5.loss_mask: 0.8121, decode.d5.loss_dice: 1.2604, decode.d6.loss_cls: 0.8853, decode.d6.loss_mask: 0.8037, decode.d6.loss_dice: 1.2409, decode.d7.loss_cls: 0.8839, decode.d7.loss_mask: 0.8055, decode.d7.loss_dice: 1.2531, decode.d8.loss_cls: 0.8809, decode.d8.loss_mask: 0.8046, decode.d8.loss_dice: 1.2491, loss: 31.9535 2022-04-29 08:08:52,627 - mmseg - INFO - Iter [23150/80000] lr: 1.020e-06, eta: 1 day, 5:00:32, time: 1.780, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9239, decode.loss_mask: 0.8090, decode.loss_dice: 1.2773, decode.d0.loss_cls: 2.9750, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4853, decode.d1.loss_cls: 1.0124, decode.d1.loss_mask: 0.8338, decode.d1.loss_dice: 1.3627, decode.d2.loss_cls: 0.9440, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.3115, decode.d3.loss_cls: 0.9170, decode.d3.loss_mask: 0.8136, decode.d3.loss_dice: 1.2959, decode.d4.loss_cls: 0.9199, decode.d4.loss_mask: 0.8139, decode.d4.loss_dice: 1.2994, decode.d5.loss_cls: 0.9156, decode.d5.loss_mask: 0.8105, decode.d5.loss_dice: 1.2940, decode.d6.loss_cls: 0.9111, decode.d6.loss_mask: 0.8102, decode.d6.loss_dice: 1.2803, decode.d7.loss_cls: 0.9169, decode.d7.loss_mask: 0.8062, decode.d7.loss_dice: 1.2858, decode.d8.loss_cls: 0.9151, decode.d8.loss_mask: 0.8101, decode.d8.loss_dice: 1.2893, loss: 32.6488 2022-04-29 08:10:21,646 - mmseg - INFO - Iter [23200/80000] lr: 1.019e-06, eta: 1 day, 4:58:53, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9111, decode.loss_mask: 0.8149, decode.loss_dice: 1.2683, decode.d0.loss_cls: 2.9090, decode.d0.loss_mask: 0.7980, decode.d0.loss_dice: 1.4657, decode.d1.loss_cls: 0.9916, decode.d1.loss_mask: 0.8397, decode.d1.loss_dice: 1.3605, decode.d2.loss_cls: 0.9341, decode.d2.loss_mask: 0.8307, decode.d2.loss_dice: 1.3003, decode.d3.loss_cls: 0.9162, decode.d3.loss_mask: 0.8179, decode.d3.loss_dice: 1.2776, decode.d4.loss_cls: 0.9157, decode.d4.loss_mask: 0.8237, decode.d4.loss_dice: 1.2782, decode.d5.loss_cls: 0.9077, decode.d5.loss_mask: 0.8162, decode.d5.loss_dice: 1.2704, decode.d6.loss_cls: 0.9036, decode.d6.loss_mask: 0.8181, decode.d6.loss_dice: 1.2616, decode.d7.loss_cls: 0.9013, decode.d7.loss_mask: 0.8205, decode.d7.loss_dice: 1.2697, decode.d8.loss_cls: 0.9030, decode.d8.loss_mask: 0.8149, decode.d8.loss_dice: 1.2732, loss: 32.4136 2022-04-29 08:11:50,395 - mmseg - INFO - Iter [23250/80000] lr: 1.019e-06, eta: 1 day, 4:57:14, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9105, decode.loss_mask: 0.8144, decode.loss_dice: 1.2755, decode.d0.loss_cls: 2.9328, decode.d0.loss_mask: 0.8043, decode.d0.loss_dice: 1.4781, decode.d1.loss_cls: 0.9991, decode.d1.loss_mask: 0.8417, decode.d1.loss_dice: 1.3623, decode.d2.loss_cls: 0.9381, decode.d2.loss_mask: 0.8336, decode.d2.loss_dice: 1.3236, decode.d3.loss_cls: 0.9147, decode.d3.loss_mask: 0.8265, decode.d3.loss_dice: 1.2992, decode.d4.loss_cls: 0.9164, decode.d4.loss_mask: 0.8186, decode.d4.loss_dice: 1.3004, decode.d5.loss_cls: 0.9122, decode.d5.loss_mask: 0.8152, decode.d5.loss_dice: 1.3007, decode.d6.loss_cls: 0.9081, decode.d6.loss_mask: 0.8184, decode.d6.loss_dice: 1.2912, decode.d7.loss_cls: 0.9105, decode.d7.loss_mask: 0.8172, decode.d7.loss_dice: 1.2868, decode.d8.loss_cls: 0.9077, decode.d8.loss_mask: 0.8195, decode.d8.loss_dice: 1.2826, loss: 32.6598 2022-04-29 08:13:19,952 - mmseg - INFO - Iter [23300/80000] lr: 1.018e-06, eta: 1 day, 4:55:36, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9228, decode.loss_mask: 0.8037, decode.loss_dice: 1.2217, decode.d0.loss_cls: 2.9104, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.4234, decode.d1.loss_cls: 1.0019, decode.d1.loss_mask: 0.8314, decode.d1.loss_dice: 1.3251, decode.d2.loss_cls: 0.9452, decode.d2.loss_mask: 0.8141, decode.d2.loss_dice: 1.2736, decode.d3.loss_cls: 0.9416, decode.d3.loss_mask: 0.8066, decode.d3.loss_dice: 1.2484, decode.d4.loss_cls: 0.9336, decode.d4.loss_mask: 0.8002, decode.d4.loss_dice: 1.2443, decode.d5.loss_cls: 0.9307, decode.d5.loss_mask: 0.8055, decode.d5.loss_dice: 1.2369, decode.d6.loss_cls: 0.9250, decode.d6.loss_mask: 0.8023, decode.d6.loss_dice: 1.2324, decode.d7.loss_cls: 0.9242, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2302, decode.d8.loss_cls: 0.9228, decode.d8.loss_mask: 0.8030, decode.d8.loss_dice: 1.2283, loss: 32.0726 2022-04-29 08:14:49,240 - mmseg - INFO - Iter [23350/80000] lr: 1.017e-06, eta: 1 day, 4:53:58, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9512, decode.loss_mask: 0.8157, decode.loss_dice: 1.2819, decode.d0.loss_cls: 2.9650, decode.d0.loss_mask: 0.8065, decode.d0.loss_dice: 1.4966, decode.d1.loss_cls: 1.0318, decode.d1.loss_mask: 0.8355, decode.d1.loss_dice: 1.3741, decode.d2.loss_cls: 0.9711, decode.d2.loss_mask: 0.8253, decode.d2.loss_dice: 1.3229, decode.d3.loss_cls: 0.9627, decode.d3.loss_mask: 0.8198, decode.d3.loss_dice: 1.3038, decode.d4.loss_cls: 0.9613, decode.d4.loss_mask: 0.8207, decode.d4.loss_dice: 1.2948, decode.d5.loss_cls: 0.9477, decode.d5.loss_mask: 0.8172, decode.d5.loss_dice: 1.2877, decode.d6.loss_cls: 0.9462, decode.d6.loss_mask: 0.8192, decode.d6.loss_dice: 1.2861, decode.d7.loss_cls: 0.9416, decode.d7.loss_mask: 0.8189, decode.d7.loss_dice: 1.2857, decode.d8.loss_cls: 0.9414, decode.d8.loss_mask: 0.8205, decode.d8.loss_dice: 1.2855, loss: 33.0384 2022-04-29 08:16:17,098 - mmseg - INFO - Iter [23400/80000] lr: 1.016e-06, eta: 1 day, 4:52:17, time: 1.757, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9191, decode.loss_mask: 0.8199, decode.loss_dice: 1.2492, decode.d0.loss_cls: 2.9356, decode.d0.loss_mask: 0.8175, decode.d0.loss_dice: 1.4491, decode.d1.loss_cls: 1.0117, decode.d1.loss_mask: 0.8523, decode.d1.loss_dice: 1.3478, decode.d2.loss_cls: 0.9577, decode.d2.loss_mask: 0.8286, decode.d2.loss_dice: 1.2897, decode.d3.loss_cls: 0.9395, decode.d3.loss_mask: 0.8156, decode.d3.loss_dice: 1.2608, decode.d4.loss_cls: 0.9289, decode.d4.loss_mask: 0.8210, decode.d4.loss_dice: 1.2642, decode.d5.loss_cls: 0.9272, decode.d5.loss_mask: 0.8174, decode.d5.loss_dice: 1.2586, decode.d6.loss_cls: 0.9223, decode.d6.loss_mask: 0.8165, decode.d6.loss_dice: 1.2508, decode.d7.loss_cls: 0.9214, decode.d7.loss_mask: 0.8157, decode.d7.loss_dice: 1.2521, decode.d8.loss_cls: 0.9120, decode.d8.loss_mask: 0.8166, decode.d8.loss_dice: 1.2518, loss: 32.4707 2022-04-29 08:17:46,305 - mmseg - INFO - Iter [23450/80000] lr: 1.015e-06, eta: 1 day, 4:50:39, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9482, decode.loss_mask: 0.8283, decode.loss_dice: 1.2968, decode.d0.loss_cls: 2.9707, decode.d0.loss_mask: 0.8165, decode.d0.loss_dice: 1.5061, decode.d1.loss_cls: 1.0264, decode.d1.loss_mask: 0.8606, decode.d1.loss_dice: 1.3850, decode.d2.loss_cls: 0.9745, decode.d2.loss_mask: 0.8436, decode.d2.loss_dice: 1.3394, decode.d3.loss_cls: 0.9665, decode.d3.loss_mask: 0.8272, decode.d3.loss_dice: 1.3135, decode.d4.loss_cls: 0.9580, decode.d4.loss_mask: 0.8307, decode.d4.loss_dice: 1.3062, decode.d5.loss_cls: 0.9514, decode.d5.loss_mask: 0.8326, decode.d5.loss_dice: 1.2979, decode.d6.loss_cls: 0.9454, decode.d6.loss_mask: 0.8296, decode.d6.loss_dice: 1.2910, decode.d7.loss_cls: 0.9468, decode.d7.loss_mask: 0.8305, decode.d7.loss_dice: 1.2965, decode.d8.loss_cls: 0.9446, decode.d8.loss_mask: 0.8350, decode.d8.loss_dice: 1.3001, loss: 33.2994 2022-04-29 08:19:14,764 - mmseg - INFO - Iter [23500/80000] lr: 1.014e-06, eta: 1 day, 4:48:59, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8994, decode.loss_mask: 0.8219, decode.loss_dice: 1.2510, decode.d0.loss_cls: 2.9138, decode.d0.loss_mask: 0.8237, decode.d0.loss_dice: 1.4653, decode.d1.loss_cls: 0.9944, decode.d1.loss_mask: 0.8574, decode.d1.loss_dice: 1.3476, decode.d2.loss_cls: 0.9295, decode.d2.loss_mask: 0.8378, decode.d2.loss_dice: 1.3024, decode.d3.loss_cls: 0.9189, decode.d3.loss_mask: 0.8304, decode.d3.loss_dice: 1.2834, decode.d4.loss_cls: 0.9170, decode.d4.loss_mask: 0.8259, decode.d4.loss_dice: 1.2680, decode.d5.loss_cls: 0.9036, decode.d5.loss_mask: 0.8320, decode.d5.loss_dice: 1.2696, decode.d6.loss_cls: 0.8951, decode.d6.loss_mask: 0.8299, decode.d6.loss_dice: 1.2560, decode.d7.loss_cls: 0.8888, decode.d7.loss_mask: 0.8276, decode.d7.loss_dice: 1.2596, decode.d8.loss_cls: 0.8897, decode.d8.loss_mask: 0.8263, decode.d8.loss_dice: 1.2528, loss: 32.4192 2022-04-29 08:20:42,860 - mmseg - INFO - Iter [23550/80000] lr: 1.013e-06, eta: 1 day, 4:47:18, time: 1.762, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9109, decode.loss_mask: 0.8096, decode.loss_dice: 1.2438, decode.d0.loss_cls: 2.9697, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.4545, decode.d1.loss_cls: 1.0041, decode.d1.loss_mask: 0.8383, decode.d1.loss_dice: 1.3499, decode.d2.loss_cls: 0.9441, decode.d2.loss_mask: 0.8224, decode.d2.loss_dice: 1.2789, decode.d3.loss_cls: 0.9315, decode.d3.loss_mask: 0.8105, decode.d3.loss_dice: 1.2506, decode.d4.loss_cls: 0.9263, decode.d4.loss_mask: 0.8133, decode.d4.loss_dice: 1.2474, decode.d5.loss_cls: 0.9216, decode.d5.loss_mask: 0.8143, decode.d5.loss_dice: 1.2455, decode.d6.loss_cls: 0.9046, decode.d6.loss_mask: 0.8115, decode.d6.loss_dice: 1.2445, decode.d7.loss_cls: 0.9046, decode.d7.loss_mask: 0.8169, decode.d7.loss_dice: 1.2458, decode.d8.loss_cls: 0.9098, decode.d8.loss_mask: 0.8118, decode.d8.loss_dice: 1.2409, loss: 32.2798 2022-04-29 08:22:11,822 - mmseg - INFO - Iter [23600/80000] lr: 1.012e-06, eta: 1 day, 4:45:39, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9833, decode.loss_mask: 0.7903, decode.loss_dice: 1.2928, decode.d0.loss_cls: 3.0531, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.5205, decode.d1.loss_cls: 1.0801, decode.d1.loss_mask: 0.8119, decode.d1.loss_dice: 1.3921, decode.d2.loss_cls: 1.0036, decode.d2.loss_mask: 0.7985, decode.d2.loss_dice: 1.3340, decode.d3.loss_cls: 0.9882, decode.d3.loss_mask: 0.7918, decode.d3.loss_dice: 1.3079, decode.d4.loss_cls: 0.9809, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.3095, decode.d5.loss_cls: 0.9862, decode.d5.loss_mask: 0.7902, decode.d5.loss_dice: 1.3054, decode.d6.loss_cls: 0.9804, decode.d6.loss_mask: 0.7906, decode.d6.loss_dice: 1.2883, decode.d7.loss_cls: 0.9740, decode.d7.loss_mask: 0.7906, decode.d7.loss_dice: 1.3037, decode.d8.loss_cls: 0.9764, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.2919, loss: 33.2807 2022-04-29 08:23:40,688 - mmseg - INFO - Iter [23650/80000] lr: 1.011e-06, eta: 1 day, 4:44:00, time: 1.776, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9549, decode.loss_mask: 0.8312, decode.loss_dice: 1.2721, decode.d0.loss_cls: 2.9085, decode.d0.loss_mask: 0.8132, decode.d0.loss_dice: 1.4627, decode.d1.loss_cls: 1.0323, decode.d1.loss_mask: 0.8505, decode.d1.loss_dice: 1.3559, decode.d2.loss_cls: 0.9742, decode.d2.loss_mask: 0.8391, decode.d2.loss_dice: 1.2958, decode.d3.loss_cls: 0.9662, decode.d3.loss_mask: 0.8332, decode.d3.loss_dice: 1.2742, decode.d4.loss_cls: 0.9544, decode.d4.loss_mask: 0.8357, decode.d4.loss_dice: 1.2781, decode.d5.loss_cls: 0.9490, decode.d5.loss_mask: 0.8354, decode.d5.loss_dice: 1.2726, decode.d6.loss_cls: 0.9526, decode.d6.loss_mask: 0.8304, decode.d6.loss_dice: 1.2643, decode.d7.loss_cls: 0.9529, decode.d7.loss_mask: 0.8307, decode.d7.loss_dice: 1.2666, decode.d8.loss_cls: 0.9455, decode.d8.loss_mask: 0.8333, decode.d8.loss_dice: 1.2651, loss: 32.9307 2022-04-29 08:25:09,501 - mmseg - INFO - Iter [23700/80000] lr: 1.010e-06, eta: 1 day, 4:42:22, time: 1.777, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9351, decode.loss_mask: 0.8162, decode.loss_dice: 1.2824, decode.d0.loss_cls: 2.9800, decode.d0.loss_mask: 0.8017, decode.d0.loss_dice: 1.4894, decode.d1.loss_cls: 1.0253, decode.d1.loss_mask: 0.8435, decode.d1.loss_dice: 1.3687, decode.d2.loss_cls: 0.9607, decode.d2.loss_mask: 0.8243, decode.d2.loss_dice: 1.3253, decode.d3.loss_cls: 0.9366, decode.d3.loss_mask: 0.8213, decode.d3.loss_dice: 1.3079, decode.d4.loss_cls: 0.9376, decode.d4.loss_mask: 0.8199, decode.d4.loss_dice: 1.3008, decode.d5.loss_cls: 0.9331, decode.d5.loss_mask: 0.8160, decode.d5.loss_dice: 1.2940, decode.d6.loss_cls: 0.9294, decode.d6.loss_mask: 0.8154, decode.d6.loss_dice: 1.2885, decode.d7.loss_cls: 0.9280, decode.d7.loss_mask: 0.8143, decode.d7.loss_dice: 1.2890, decode.d8.loss_cls: 0.9276, decode.d8.loss_mask: 0.8202, decode.d8.loss_dice: 1.2848, loss: 32.9170 2022-04-29 08:26:37,550 - mmseg - INFO - Iter [23750/80000] lr: 1.010e-06, eta: 1 day, 4:40:41, time: 1.761, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9842, decode.loss_mask: 0.7997, decode.loss_dice: 1.2914, decode.d0.loss_cls: 3.0073, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.4927, decode.d1.loss_cls: 1.0680, decode.d1.loss_mask: 0.8278, decode.d1.loss_dice: 1.3750, decode.d2.loss_cls: 1.0080, decode.d2.loss_mask: 0.8126, decode.d2.loss_dice: 1.3207, decode.d3.loss_cls: 0.9957, decode.d3.loss_mask: 0.8051, decode.d3.loss_dice: 1.3064, decode.d4.loss_cls: 0.9875, decode.d4.loss_mask: 0.8081, decode.d4.loss_dice: 1.2932, decode.d5.loss_cls: 0.9813, decode.d5.loss_mask: 0.8042, decode.d5.loss_dice: 1.2909, decode.d6.loss_cls: 0.9788, decode.d6.loss_mask: 0.8011, decode.d6.loss_dice: 1.2858, decode.d7.loss_cls: 0.9860, decode.d7.loss_mask: 0.8043, decode.d7.loss_dice: 1.2828, decode.d8.loss_cls: 0.9749, decode.d8.loss_mask: 0.8031, decode.d8.loss_dice: 1.2833, loss: 33.2520 2022-04-29 08:28:06,621 - mmseg - INFO - Iter [23800/80000] lr: 1.009e-06, eta: 1 day, 4:39:03, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8853, decode.loss_mask: 0.8136, decode.loss_dice: 1.2442, decode.d0.loss_cls: 2.8515, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.4358, decode.d1.loss_cls: 0.9745, decode.d1.loss_mask: 0.8467, decode.d1.loss_dice: 1.3277, decode.d2.loss_cls: 0.9116, decode.d2.loss_mask: 0.8332, decode.d2.loss_dice: 1.2851, decode.d3.loss_cls: 0.8928, decode.d3.loss_mask: 0.8289, decode.d3.loss_dice: 1.2677, decode.d4.loss_cls: 0.8851, decode.d4.loss_mask: 0.8272, decode.d4.loss_dice: 1.2676, decode.d5.loss_cls: 0.8768, decode.d5.loss_mask: 0.8216, decode.d5.loss_dice: 1.2588, decode.d6.loss_cls: 0.8786, decode.d6.loss_mask: 0.8167, decode.d6.loss_dice: 1.2437, decode.d7.loss_cls: 0.8806, decode.d7.loss_mask: 0.8140, decode.d7.loss_dice: 1.2481, decode.d8.loss_cls: 0.8789, decode.d8.loss_mask: 0.8161, decode.d8.loss_dice: 1.2485, loss: 31.9616 2022-04-29 08:29:35,919 - mmseg - INFO - Iter [23850/80000] lr: 1.008e-06, eta: 1 day, 4:37:26, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8916, decode.loss_mask: 0.7896, decode.loss_dice: 1.2473, decode.d0.loss_cls: 2.8854, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.4479, decode.d1.loss_cls: 0.9851, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.3376, decode.d2.loss_cls: 0.9172, decode.d2.loss_mask: 0.7926, decode.d2.loss_dice: 1.2937, decode.d3.loss_cls: 0.9064, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.2607, decode.d4.loss_cls: 0.8990, decode.d4.loss_mask: 0.7986, decode.d4.loss_dice: 1.2652, decode.d5.loss_cls: 0.8926, decode.d5.loss_mask: 0.7927, decode.d5.loss_dice: 1.2557, decode.d6.loss_cls: 0.8926, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.2437, decode.d7.loss_cls: 0.8957, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.2396, decode.d8.loss_cls: 0.8900, decode.d8.loss_mask: 0.7954, decode.d8.loss_dice: 1.2434, loss: 31.7949 2022-04-29 08:31:04,677 - mmseg - INFO - Iter [23900/80000] lr: 1.007e-06, eta: 1 day, 4:35:47, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9069, decode.loss_mask: 0.7966, decode.loss_dice: 1.2391, decode.d0.loss_cls: 2.9312, decode.d0.loss_mask: 0.7794, decode.d0.loss_dice: 1.4251, decode.d1.loss_cls: 0.9906, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.3203, decode.d2.loss_cls: 0.9255, decode.d2.loss_mask: 0.8116, decode.d2.loss_dice: 1.2800, decode.d3.loss_cls: 0.9174, decode.d3.loss_mask: 0.8033, decode.d3.loss_dice: 1.2558, decode.d4.loss_cls: 0.9154, decode.d4.loss_mask: 0.8023, decode.d4.loss_dice: 1.2542, decode.d5.loss_cls: 0.9142, decode.d5.loss_mask: 0.7979, decode.d5.loss_dice: 1.2413, decode.d6.loss_cls: 0.9081, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.2377, decode.d7.loss_cls: 0.9122, decode.d7.loss_mask: 0.7969, decode.d7.loss_dice: 1.2391, decode.d8.loss_cls: 0.9039, decode.d8.loss_mask: 0.8021, decode.d8.loss_dice: 1.2425, loss: 31.9642 2022-04-29 08:32:34,043 - mmseg - INFO - Iter [23950/80000] lr: 1.006e-06, eta: 1 day, 4:34:09, time: 1.788, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9309, decode.loss_mask: 0.7824, decode.loss_dice: 1.2575, decode.d0.loss_cls: 2.9638, decode.d0.loss_mask: 0.7705, decode.d0.loss_dice: 1.4469, decode.d1.loss_cls: 1.0267, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.3442, decode.d2.loss_cls: 0.9661, decode.d2.loss_mask: 0.7954, decode.d2.loss_dice: 1.2939, decode.d3.loss_cls: 0.9490, decode.d3.loss_mask: 0.7789, decode.d3.loss_dice: 1.2725, decode.d4.loss_cls: 0.9490, decode.d4.loss_mask: 0.7775, decode.d4.loss_dice: 1.2661, decode.d5.loss_cls: 0.9379, decode.d5.loss_mask: 0.7816, decode.d5.loss_dice: 1.2608, decode.d6.loss_cls: 0.9326, decode.d6.loss_mask: 0.7807, decode.d6.loss_dice: 1.2598, decode.d7.loss_cls: 0.9288, decode.d7.loss_mask: 0.7805, decode.d7.loss_dice: 1.2577, decode.d8.loss_cls: 0.9299, decode.d8.loss_mask: 0.7793, decode.d8.loss_dice: 1.2622, loss: 32.2712 2022-04-29 08:34:03,047 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-04-29 08:34:22,641 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 08:34:22,651 - mmseg - INFO - Iter [24000/80000] lr: 1.005e-06, eta: 1 day, 4:33:17, time: 2.171, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9509, decode.loss_mask: 0.8111, decode.loss_dice: 1.2852, decode.d0.loss_cls: 2.9375, decode.d0.loss_mask: 0.7982, decode.d0.loss_dice: 1.4729, decode.d1.loss_cls: 1.0322, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3717, decode.d2.loss_cls: 0.9748, decode.d2.loss_mask: 0.8250, decode.d2.loss_dice: 1.3221, decode.d3.loss_cls: 0.9628, decode.d3.loss_mask: 0.8198, decode.d3.loss_dice: 1.2937, decode.d4.loss_cls: 0.9591, decode.d4.loss_mask: 0.8192, decode.d4.loss_dice: 1.2968, decode.d5.loss_cls: 0.9578, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.2903, decode.d6.loss_cls: 0.9500, decode.d6.loss_mask: 0.8057, decode.d6.loss_dice: 1.2828, decode.d7.loss_cls: 0.9498, decode.d7.loss_mask: 0.8066, decode.d7.loss_dice: 1.2797, decode.d8.loss_cls: 0.9479, decode.d8.loss_mask: 0.8123, decode.d8.loss_dice: 1.2897, loss: 32.9595 2022-04-29 08:39:17,614 - mmseg - INFO - per class results: 2022-04-29 08:39:17,651 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.44 | 93.66 | | bicycle | 74.44 | 83.99 | | car | 63.39 | 77.63 | | motorcycle | 85.31 | 90.35 | | airplane | 84.73 | 90.7 | | bus | 85.43 | 89.88 | | train | 85.59 | 95.87 | | truck | 64.05 | 85.55 | | boat | 69.28 | 86.07 | | traffic light | 73.76 | 86.07 | | fire hydrant | 90.52 | 95.8 | | stop sign | 92.89 | 97.68 | | parking meter | 74.98 | 84.76 | | bench | 52.69 | 78.23 | | bird | 86.08 | 91.53 | | cat | 82.71 | 87.78 | | dog | 80.15 | 85.92 | | horse | 84.11 | 93.83 | | sheep | 88.57 | 95.45 | | cow | 88.45 | 92.54 | | elephant | 93.13 | 96.48 | | bear | 92.04 | 94.6 | | zebra | 90.68 | 93.74 | | giraffe | 88.1 | 93.72 | | backpack | 43.42 | 69.5 | | umbrella | 86.1 | 92.36 | | handbag | 44.56 | 65.92 | | tie | 28.78 | 55.01 | | suitcase | 80.6 | 95.18 | | frisbee | 79.74 | 94.56 | | skis | 53.73 | 63.29 | | snowboard | 67.86 | 85.25 | | sports ball | 61.54 | 78.57 | | kite | 72.12 | 82.86 | | baseball bat | 58.82 | 81.46 | | baseball glove | 77.32 | 91.37 | | skateboard | 84.67 | 90.64 | | surfboard | 79.61 | 93.57 | | tennis racket | 87.8 | 94.12 | | bottle | 49.11 | 62.75 | | wine glass | 49.58 | 63.82 | | cup | 54.93 | 75.41 | | fork | 28.96 | 32.46 | | knife | 30.38 | 38.13 | | spoon | 31.55 | 49.43 | | bowl | 47.93 | 62.81 | | banana | 68.6 | 86.06 | | apple | 54.78 | 75.55 | | sandwich | 43.26 | 54.05 | | orange | 64.24 | 72.23 | | broccoli | 52.74 | 61.68 | | carrot | 46.5 | 53.53 | | hot dog | 41.46 | 46.3 | | pizza | 49.09 | 52.49 | | donut | 59.76 | 68.54 | | cake | 61.33 | 67.84 | | chair | 51.97 | 71.14 | | couch | 59.25 | 80.95 | | potted plant | 21.07 | 28.5 | | bed | 64.83 | 87.46 | | dining table | 42.7 | 84.23 | | toilet | 84.61 | 93.72 | | tv | 74.31 | 82.09 | | laptop | 76.91 | 92.43 | | mouse | 76.65 | 86.2 | | remote | 60.4 | 76.92 | | keyboard | 65.51 | 76.54 | | cell phone | 73.37 | 85.32 | | microwave | 67.33 | 82.62 | | oven | 63.03 | 86.29 | | toaster | 0.0 | 0.0 | | sink | 66.65 | 82.38 | | refrigerator | 80.36 | 92.25 | | book | 48.28 | 69.04 | | clock | 73.72 | 82.59 | | vase | 62.21 | 87.77 | | scissors | 78.64 | 88.39 | | teddy bear | 77.92 | 89.1 | | hair drier | 2.47 | 2.47 | | toothbrush | 51.7 | 75.41 | | banner | 26.51 | 78.45 | | blanket | 0.01 | 0.01 | | branch | 18.29 | 27.39 | | bridge | 35.73 | 62.4 | | building-other | 51.59 | 72.26 | | bush | 33.65 | 43.15 | | cabinet | 55.79 | 71.67 | | cage | 19.43 | 27.92 | | cardboard | 44.9 | 60.08 | | carpet | 50.82 | 81.56 | | ceiling-other | 63.6 | 79.33 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 20.65 | 30.54 | | clouds | 46.17 | 60.11 | | counter | 27.36 | 54.79 | | cupboard | 0.0 | 0.0 | | curtain | 65.2 | 76.12 | | desk-stuff | 44.75 | 60.88 | | dirt | 39.05 | 54.72 | | door-stuff | 45.41 | 70.52 | | fence | 32.23 | 57.16 | | floor-marble | 0.0 | 0.0 | | floor-other | 19.31 | 24.05 | | floor-stone | 0.34 | 0.4 | | floor-tile | 63.11 | 73.65 | | floor-wood | 59.52 | 79.58 | | flower | 44.94 | 66.99 | | fog | 3.9 | 4.22 | | food-other | 25.66 | 28.14 | | fruit | 38.63 | 44.2 | | furniture-other | 19.75 | 28.32 | | grass | 70.1 | 84.12 | | gravel | 31.31 | 40.77 | | ground-other | 6.79 | 9.47 | | hill | 21.3 | 37.28 | | house | 25.31 | 31.39 | | leaves | 17.17 | 18.77 | | light | 41.89 | 58.2 | | mat | 0.0 | 0.0 | | metal | 34.53 | 46.98 | | mirror-stuff | 52.76 | 78.54 | | moss | 0.0 | 0.0 | | mountain | 48.6 | 66.57 | | mud | 0.0 | 0.0 | | napkin | 0.95 | 1.06 | | net | 49.77 | 65.98 | | paper | 31.86 | 49.58 | | pavement | 51.11 | 68.27 | | pillow | 10.26 | 12.43 | | plant-other | 21.81 | 43.89 | | plastic | 27.7 | 40.5 | | platform | 31.68 | 53.58 | | playingfield | 68.79 | 90.9 | | railing | 7.3 | 13.2 | | railroad | 62.12 | 81.39 | | river | 32.61 | 38.8 | | road | 65.17 | 85.47 | | rock | 40.48 | 55.88 | | roof | 20.33 | 26.84 | | rug | 29.29 | 39.23 | | salad | 0.0 | 0.0 | | sand | 63.86 | 69.17 | | sea | 84.75 | 92.51 | | shelf | 36.75 | 50.93 | | sky-other | 69.87 | 86.41 | | skyscraper | 38.71 | 60.59 | | snow | 91.62 | 96.0 | | solid-other | 0.0 | 0.0 | | stairs | 29.53 | 55.48 | | stone | 14.91 | 29.73 | | straw | 26.45 | 37.18 | | structural-other | 1.3 | 1.69 | | table | 14.03 | 16.75 | | tent | 8.15 | 9.8 | | textile-other | 14.77 | 26.21 | | towel | 36.71 | 41.36 | | tree | 73.69 | 86.1 | | vegetable | 35.74 | 41.71 | | wall-brick | 51.29 | 67.81 | | wall-concrete | 61.4 | 75.52 | | wall-other | 19.31 | 33.61 | | wall-panel | 3.14 | 3.63 | | wall-stone | 31.9 | 39.37 | | wall-tile | 67.78 | 79.19 | | wall-wood | 43.57 | 62.46 | | water-other | 27.57 | 55.58 | | waterdrops | 0.0 | 0.0 | | window-blind | 51.35 | 64.29 | | window-other | 47.73 | 65.46 | | wood | 26.93 | 37.06 | +------------------+-------+-------+ 2022-04-29 08:39:17,651 - mmseg - INFO - Summary: 2022-04-29 08:39:17,651 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 71.49 | 47.91 | 59.92 | +-------+-------+-------+ 2022-04-29 08:39:17,668 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 08:39:17,669 - mmseg - INFO - Iter(val) [313] aAcc: 0.7149, mIoU: 0.4791, mAcc: 0.5992, IoU.person: 0.8744, IoU.bicycle: 0.7444, IoU.car: 0.6339, IoU.motorcycle: 0.8531, IoU.airplane: 0.8473, IoU.bus: 0.8543, IoU.train: 0.8559, IoU.truck: 0.6405, IoU.boat: 0.6928, IoU.traffic light: 0.7376, IoU.fire hydrant: 0.9052, IoU.stop sign: 0.9289, IoU.parking meter: 0.7498, IoU.bench: 0.5269, IoU.bird: 0.8608, IoU.cat: 0.8271, IoU.dog: 0.8015, IoU.horse: 0.8411, IoU.sheep: 0.8857, IoU.cow: 0.8845, IoU.elephant: 0.9313, IoU.bear: 0.9204, IoU.zebra: 0.9068, IoU.giraffe: 0.8810, IoU.backpack: 0.4342, IoU.umbrella: 0.8610, IoU.handbag: 0.4456, IoU.tie: 0.2878, IoU.suitcase: 0.8060, IoU.frisbee: 0.7974, IoU.skis: 0.5373, IoU.snowboard: 0.6786, IoU.sports ball: 0.6154, IoU.kite: 0.7212, IoU.baseball bat: 0.5882, IoU.baseball glove: 0.7732, IoU.skateboard: 0.8467, IoU.surfboard: 0.7961, IoU.tennis racket: 0.8780, IoU.bottle: 0.4911, IoU.wine glass: 0.4958, IoU.cup: 0.5493, IoU.fork: 0.2896, IoU.knife: 0.3038, IoU.spoon: 0.3155, IoU.bowl: 0.4793, IoU.banana: 0.6860, IoU.apple: 0.5478, IoU.sandwich: 0.4326, IoU.orange: 0.6424, IoU.broccoli: 0.5274, IoU.carrot: 0.4650, IoU.hot dog: 0.4146, IoU.pizza: 0.4909, IoU.donut: 0.5976, IoU.cake: 0.6133, IoU.chair: 0.5197, IoU.couch: 0.5925, IoU.potted plant: 0.2107, IoU.bed: 0.6483, IoU.dining table: 0.4270, IoU.toilet: 0.8461, IoU.tv: 0.7431, IoU.laptop: 0.7691, IoU.mouse: 0.7665, IoU.remote: 0.6040, IoU.keyboard: 0.6551, IoU.cell phone: 0.7337, IoU.microwave: 0.6733, IoU.oven: 0.6303, IoU.toaster: 0.0000, IoU.sink: 0.6665, IoU.refrigerator: 0.8036, IoU.book: 0.4828, IoU.clock: 0.7372, IoU.vase: 0.6221, IoU.scissors: 0.7864, IoU.teddy bear: 0.7792, IoU.hair drier: 0.0247, IoU.toothbrush: 0.5170, IoU.banner: 0.2651, IoU.blanket: 0.0001, IoU.branch: 0.1829, IoU.bridge: 0.3573, IoU.building-other: 0.5159, IoU.bush: 0.3365, IoU.cabinet: 0.5579, IoU.cage: 0.1943, IoU.cardboard: 0.4490, IoU.carpet: 0.5082, IoU.ceiling-other: 0.6360, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2065, IoU.clouds: 0.4617, IoU.counter: 0.2736, IoU.cupboard: 0.0000, IoU.curtain: 0.6520, IoU.desk-stuff: 0.4475, IoU.dirt: 0.3905, IoU.door-stuff: 0.4541, IoU.fence: 0.3223, IoU.floor-marble: 0.0000, IoU.floor-other: 0.1931, IoU.floor-stone: 0.0034, IoU.floor-tile: 0.6311, IoU.floor-wood: 0.5952, IoU.flower: 0.4494, IoU.fog: 0.0390, IoU.food-other: 0.2566, IoU.fruit: 0.3863, IoU.furniture-other: 0.1975, IoU.grass: 0.7010, IoU.gravel: 0.3131, IoU.ground-other: 0.0679, IoU.hill: 0.2130, IoU.house: 0.2531, IoU.leaves: 0.1717, IoU.light: 0.4189, IoU.mat: 0.0000, IoU.metal: 0.3453, IoU.mirror-stuff: 0.5276, IoU.moss: 0.0000, IoU.mountain: 0.4860, IoU.mud: 0.0000, IoU.napkin: 0.0095, IoU.net: 0.4977, IoU.paper: 0.3186, IoU.pavement: 0.5111, IoU.pillow: 0.1026, IoU.plant-other: 0.2181, IoU.plastic: 0.2770, IoU.platform: 0.3168, IoU.playingfield: 0.6879, IoU.railing: 0.0730, IoU.railroad: 0.6212, IoU.river: 0.3261, IoU.road: 0.6517, IoU.rock: 0.4048, IoU.roof: 0.2033, IoU.rug: 0.2929, IoU.salad: 0.0000, IoU.sand: 0.6386, IoU.sea: 0.8475, IoU.shelf: 0.3675, IoU.sky-other: 0.6987, IoU.skyscraper: 0.3871, IoU.snow: 0.9162, IoU.solid-other: 0.0000, IoU.stairs: 0.2953, IoU.stone: 0.1491, IoU.straw: 0.2645, IoU.structural-other: 0.0130, IoU.table: 0.1403, IoU.tent: 0.0815, IoU.textile-other: 0.1477, IoU.towel: 0.3671, IoU.tree: 0.7369, IoU.vegetable: 0.3574, IoU.wall-brick: 0.5129, IoU.wall-concrete: 0.6140, IoU.wall-other: 0.1931, IoU.wall-panel: 0.0314, IoU.wall-stone: 0.3190, IoU.wall-tile: 0.6778, IoU.wall-wood: 0.4357, IoU.water-other: 0.2757, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5135, IoU.window-other: 0.4773, IoU.wood: 0.2693, Acc.person: 0.9366, Acc.bicycle: 0.8399, Acc.car: 0.7763, Acc.motorcycle: 0.9035, Acc.airplane: 0.9070, Acc.bus: 0.8988, Acc.train: 0.9587, Acc.truck: 0.8555, Acc.boat: 0.8607, Acc.traffic light: 0.8607, Acc.fire hydrant: 0.9580, Acc.stop sign: 0.9768, Acc.parking meter: 0.8476, Acc.bench: 0.7823, Acc.bird: 0.9153, Acc.cat: 0.8778, Acc.dog: 0.8592, Acc.horse: 0.9383, Acc.sheep: 0.9545, Acc.cow: 0.9254, Acc.elephant: 0.9648, Acc.bear: 0.9460, Acc.zebra: 0.9374, Acc.giraffe: 0.9372, Acc.backpack: 0.6950, Acc.umbrella: 0.9236, Acc.handbag: 0.6592, Acc.tie: 0.5501, Acc.suitcase: 0.9518, Acc.frisbee: 0.9456, Acc.skis: 0.6329, Acc.snowboard: 0.8525, Acc.sports ball: 0.7857, Acc.kite: 0.8286, Acc.baseball bat: 0.8146, Acc.baseball glove: 0.9137, Acc.skateboard: 0.9064, Acc.surfboard: 0.9357, Acc.tennis racket: 0.9412, Acc.bottle: 0.6275, Acc.wine glass: 0.6382, Acc.cup: 0.7541, Acc.fork: 0.3246, Acc.knife: 0.3813, Acc.spoon: 0.4943, Acc.bowl: 0.6281, Acc.banana: 0.8606, Acc.apple: 0.7555, Acc.sandwich: 0.5405, Acc.orange: 0.7223, Acc.broccoli: 0.6168, Acc.carrot: 0.5353, Acc.hot dog: 0.4630, Acc.pizza: 0.5249, Acc.donut: 0.6854, Acc.cake: 0.6784, Acc.chair: 0.7114, Acc.couch: 0.8095, Acc.potted plant: 0.2850, Acc.bed: 0.8746, Acc.dining table: 0.8423, Acc.toilet: 0.9372, Acc.tv: 0.8209, Acc.laptop: 0.9243, Acc.mouse: 0.8620, Acc.remote: 0.7692, Acc.keyboard: 0.7654, Acc.cell phone: 0.8532, Acc.microwave: 0.8262, Acc.oven: 0.8629, Acc.toaster: 0.0000, Acc.sink: 0.8238, Acc.refrigerator: 0.9225, Acc.book: 0.6904, Acc.clock: 0.8259, Acc.vase: 0.8777, Acc.scissors: 0.8839, Acc.teddy bear: 0.8910, Acc.hair drier: 0.0247, Acc.toothbrush: 0.7541, Acc.banner: 0.7845, Acc.blanket: 0.0001, Acc.branch: 0.2739, Acc.bridge: 0.6240, Acc.building-other: 0.7226, Acc.bush: 0.4315, Acc.cabinet: 0.7167, Acc.cage: 0.2792, Acc.cardboard: 0.6008, Acc.carpet: 0.8156, Acc.ceiling-other: 0.7933, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3054, Acc.clouds: 0.6011, Acc.counter: 0.5479, Acc.cupboard: 0.0000, Acc.curtain: 0.7612, Acc.desk-stuff: 0.6088, Acc.dirt: 0.5472, Acc.door-stuff: 0.7052, Acc.fence: 0.5716, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2405, Acc.floor-stone: 0.0040, Acc.floor-tile: 0.7365, Acc.floor-wood: 0.7958, Acc.flower: 0.6699, Acc.fog: 0.0422, Acc.food-other: 0.2814, Acc.fruit: 0.4420, Acc.furniture-other: 0.2832, Acc.grass: 0.8412, Acc.gravel: 0.4077, Acc.ground-other: 0.0947, Acc.hill: 0.3728, Acc.house: 0.3139, Acc.leaves: 0.1877, Acc.light: 0.5820, Acc.mat: 0.0000, Acc.metal: 0.4698, Acc.mirror-stuff: 0.7854, Acc.moss: 0.0000, Acc.mountain: 0.6657, Acc.mud: 0.0000, Acc.napkin: 0.0106, Acc.net: 0.6598, Acc.paper: 0.4958, Acc.pavement: 0.6827, Acc.pillow: 0.1243, Acc.plant-other: 0.4389, Acc.plastic: 0.4050, Acc.platform: 0.5358, Acc.playingfield: 0.9090, Acc.railing: 0.1320, Acc.railroad: 0.8139, Acc.river: 0.3880, Acc.road: 0.8547, Acc.rock: 0.5588, Acc.roof: 0.2684, Acc.rug: 0.3923, Acc.salad: 0.0000, Acc.sand: 0.6917, Acc.sea: 0.9251, Acc.shelf: 0.5093, Acc.sky-other: 0.8641, Acc.skyscraper: 0.6059, Acc.snow: 0.9600, Acc.solid-other: 0.0000, Acc.stairs: 0.5548, Acc.stone: 0.2973, Acc.straw: 0.3718, Acc.structural-other: 0.0169, Acc.table: 0.1675, Acc.tent: 0.0980, Acc.textile-other: 0.2621, Acc.towel: 0.4136, Acc.tree: 0.8610, Acc.vegetable: 0.4171, Acc.wall-brick: 0.6781, Acc.wall-concrete: 0.7552, Acc.wall-other: 0.3361, Acc.wall-panel: 0.0363, Acc.wall-stone: 0.3937, Acc.wall-tile: 0.7919, Acc.wall-wood: 0.6246, Acc.water-other: 0.5558, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6429, Acc.window-other: 0.6546, Acc.wood: 0.3706 2022-04-29 08:40:47,473 - mmseg - INFO - Iter [24050/80000] lr: 1.004e-06, eta: 1 day, 4:43:07, time: 7.697, data_time: 5.915, memory: 64979, decode.loss_cls: 0.9159, decode.loss_mask: 0.8112, decode.loss_dice: 1.2523, decode.d0.loss_cls: 2.9027, decode.d0.loss_mask: 0.8100, decode.d0.loss_dice: 1.4575, decode.d1.loss_cls: 0.9940, decode.d1.loss_mask: 0.8407, decode.d1.loss_dice: 1.3472, decode.d2.loss_cls: 0.9437, decode.d2.loss_mask: 0.8272, decode.d2.loss_dice: 1.3032, decode.d3.loss_cls: 0.9227, decode.d3.loss_mask: 0.8237, decode.d3.loss_dice: 1.2773, decode.d4.loss_cls: 0.9214, decode.d4.loss_mask: 0.8251, decode.d4.loss_dice: 1.2796, decode.d5.loss_cls: 0.9174, decode.d5.loss_mask: 0.8158, decode.d5.loss_dice: 1.2722, decode.d6.loss_cls: 0.9158, decode.d6.loss_mask: 0.8175, decode.d6.loss_dice: 1.2535, decode.d7.loss_cls: 0.9159, decode.d7.loss_mask: 0.8177, decode.d7.loss_dice: 1.2554, decode.d8.loss_cls: 0.9104, decode.d8.loss_mask: 0.8140, decode.d8.loss_dice: 1.2536, loss: 32.4146 2022-04-29 08:42:17,445 - mmseg - INFO - Iter [24100/80000] lr: 1.003e-06, eta: 1 day, 4:41:29, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8890, decode.loss_mask: 0.7955, decode.loss_dice: 1.2226, decode.d0.loss_cls: 2.8700, decode.d0.loss_mask: 0.7888, decode.d0.loss_dice: 1.4306, decode.d1.loss_cls: 0.9730, decode.d1.loss_mask: 0.8252, decode.d1.loss_dice: 1.3170, decode.d2.loss_cls: 0.9195, decode.d2.loss_mask: 0.8039, decode.d2.loss_dice: 1.2643, decode.d3.loss_cls: 0.9049, decode.d3.loss_mask: 0.7920, decode.d3.loss_dice: 1.2358, decode.d4.loss_cls: 0.8987, decode.d4.loss_mask: 0.7948, decode.d4.loss_dice: 1.2379, decode.d5.loss_cls: 0.8888, decode.d5.loss_mask: 0.7943, decode.d5.loss_dice: 1.2297, decode.d6.loss_cls: 0.8781, decode.d6.loss_mask: 0.7956, decode.d6.loss_dice: 1.2221, decode.d7.loss_cls: 0.8850, decode.d7.loss_mask: 0.7945, decode.d7.loss_dice: 1.2310, decode.d8.loss_cls: 0.8845, decode.d8.loss_mask: 0.7942, decode.d8.loss_dice: 1.2287, loss: 31.5902 2022-04-29 08:43:45,758 - mmseg - INFO - Iter [24150/80000] lr: 1.002e-06, eta: 1 day, 4:39:47, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9385, decode.loss_mask: 0.8086, decode.loss_dice: 1.2644, decode.d0.loss_cls: 2.9357, decode.d0.loss_mask: 0.7922, decode.d0.loss_dice: 1.4569, decode.d1.loss_cls: 1.0269, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.3495, decode.d2.loss_cls: 0.9681, decode.d2.loss_mask: 0.8235, decode.d2.loss_dice: 1.3048, decode.d3.loss_cls: 0.9476, decode.d3.loss_mask: 0.8197, decode.d3.loss_dice: 1.2754, decode.d4.loss_cls: 0.9452, decode.d4.loss_mask: 0.8149, decode.d4.loss_dice: 1.2768, decode.d5.loss_cls: 0.9408, decode.d5.loss_mask: 0.8118, decode.d5.loss_dice: 1.2638, decode.d6.loss_cls: 0.9391, decode.d6.loss_mask: 0.8094, decode.d6.loss_dice: 1.2550, decode.d7.loss_cls: 0.9339, decode.d7.loss_mask: 0.8107, decode.d7.loss_dice: 1.2605, decode.d8.loss_cls: 0.9326, decode.d8.loss_mask: 0.8115, decode.d8.loss_dice: 1.2591, loss: 32.6110 2022-04-29 08:45:15,341 - mmseg - INFO - Iter [24200/80000] lr: 1.001e-06, eta: 1 day, 4:38:08, time: 1.792, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8971, decode.loss_mask: 0.7810, decode.loss_dice: 1.2387, decode.d0.loss_cls: 2.9114, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.4471, decode.d1.loss_cls: 0.9926, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.3270, decode.d2.loss_cls: 0.9272, decode.d2.loss_mask: 0.7961, decode.d2.loss_dice: 1.2771, decode.d3.loss_cls: 0.9100, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2560, decode.d4.loss_cls: 0.9077, decode.d4.loss_mask: 0.7865, decode.d4.loss_dice: 1.2479, decode.d5.loss_cls: 0.9065, decode.d5.loss_mask: 0.7848, decode.d5.loss_dice: 1.2487, decode.d6.loss_cls: 0.9014, decode.d6.loss_mask: 0.7799, decode.d6.loss_dice: 1.2337, decode.d7.loss_cls: 0.9020, decode.d7.loss_mask: 0.7775, decode.d7.loss_dice: 1.2404, decode.d8.loss_cls: 0.9010, decode.d8.loss_mask: 0.7773, decode.d8.loss_dice: 1.2290, loss: 31.7646 2022-04-29 08:46:44,263 - mmseg - INFO - Iter [24250/80000] lr: 1.001e-06, eta: 1 day, 4:36:28, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9257, decode.loss_mask: 0.8275, decode.loss_dice: 1.2712, decode.d0.loss_cls: 2.9397, decode.d0.loss_mask: 0.7980, decode.d0.loss_dice: 1.4648, decode.d1.loss_cls: 1.0155, decode.d1.loss_mask: 0.8436, decode.d1.loss_dice: 1.3574, decode.d2.loss_cls: 0.9550, decode.d2.loss_mask: 0.8305, decode.d2.loss_dice: 1.3066, decode.d3.loss_cls: 0.9411, decode.d3.loss_mask: 0.8236, decode.d3.loss_dice: 1.2876, decode.d4.loss_cls: 0.9352, decode.d4.loss_mask: 0.8264, decode.d4.loss_dice: 1.2847, decode.d5.loss_cls: 0.9269, decode.d5.loss_mask: 0.8236, decode.d5.loss_dice: 1.2887, decode.d6.loss_cls: 0.9268, decode.d6.loss_mask: 0.8237, decode.d6.loss_dice: 1.2707, decode.d7.loss_cls: 0.9211, decode.d7.loss_mask: 0.8255, decode.d7.loss_dice: 1.2688, decode.d8.loss_cls: 0.9210, decode.d8.loss_mask: 0.8247, decode.d8.loss_dice: 1.2758, loss: 32.7315 2022-04-29 08:48:12,703 - mmseg - INFO - Iter [24300/80000] lr: 9.997e-07, eta: 1 day, 4:34:47, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9181, decode.loss_mask: 0.8172, decode.loss_dice: 1.2571, decode.d0.loss_cls: 2.9371, decode.d0.loss_mask: 0.8029, decode.d0.loss_dice: 1.4579, decode.d1.loss_cls: 1.0072, decode.d1.loss_mask: 0.8459, decode.d1.loss_dice: 1.3431, decode.d2.loss_cls: 0.9469, decode.d2.loss_mask: 0.8399, decode.d2.loss_dice: 1.3029, decode.d3.loss_cls: 0.9278, decode.d3.loss_mask: 0.8308, decode.d3.loss_dice: 1.2788, decode.d4.loss_cls: 0.9180, decode.d4.loss_mask: 0.8312, decode.d4.loss_dice: 1.2760, decode.d5.loss_cls: 0.9220, decode.d5.loss_mask: 0.8263, decode.d5.loss_dice: 1.2627, decode.d6.loss_cls: 0.9217, decode.d6.loss_mask: 0.8202, decode.d6.loss_dice: 1.2500, decode.d7.loss_cls: 0.9258, decode.d7.loss_mask: 0.8212, decode.d7.loss_dice: 1.2614, decode.d8.loss_cls: 0.9119, decode.d8.loss_mask: 0.8246, decode.d8.loss_dice: 1.2603, loss: 32.5470 2022-04-29 08:49:41,512 - mmseg - INFO - Iter [24350/80000] lr: 9.988e-07, eta: 1 day, 4:33:06, time: 1.776, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9053, decode.loss_mask: 0.8223, decode.loss_dice: 1.2464, decode.d0.loss_cls: 2.8960, decode.d0.loss_mask: 0.8210, decode.d0.loss_dice: 1.4473, decode.d1.loss_cls: 0.9989, decode.d1.loss_mask: 0.8467, decode.d1.loss_dice: 1.3388, decode.d2.loss_cls: 0.9396, decode.d2.loss_mask: 0.8307, decode.d2.loss_dice: 1.2875, decode.d3.loss_cls: 0.9190, decode.d3.loss_mask: 0.8225, decode.d3.loss_dice: 1.2623, decode.d4.loss_cls: 0.9161, decode.d4.loss_mask: 0.8225, decode.d4.loss_dice: 1.2499, decode.d5.loss_cls: 0.9026, decode.d5.loss_mask: 0.8228, decode.d5.loss_dice: 1.2470, decode.d6.loss_cls: 0.9033, decode.d6.loss_mask: 0.8187, decode.d6.loss_dice: 1.2423, decode.d7.loss_cls: 0.9082, decode.d7.loss_mask: 0.8192, decode.d7.loss_dice: 1.2405, decode.d8.loss_cls: 0.9030, decode.d8.loss_mask: 0.8191, decode.d8.loss_dice: 1.2497, loss: 32.2493 2022-04-29 08:51:10,071 - mmseg - INFO - Iter [24400/80000] lr: 9.979e-07, eta: 1 day, 4:31:25, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9424, decode.loss_mask: 0.8005, decode.loss_dice: 1.2638, decode.d0.loss_cls: 2.9438, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.4725, decode.d1.loss_cls: 1.0309, decode.d1.loss_mask: 0.8298, decode.d1.loss_dice: 1.3618, decode.d2.loss_cls: 0.9753, decode.d2.loss_mask: 0.8124, decode.d2.loss_dice: 1.3135, decode.d3.loss_cls: 0.9601, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.2776, decode.d4.loss_cls: 0.9545, decode.d4.loss_mask: 0.8018, decode.d4.loss_dice: 1.2738, decode.d5.loss_cls: 0.9485, decode.d5.loss_mask: 0.7992, decode.d5.loss_dice: 1.2664, decode.d6.loss_cls: 0.9483, decode.d6.loss_mask: 0.7996, decode.d6.loss_dice: 1.2598, decode.d7.loss_cls: 0.9430, decode.d7.loss_mask: 0.7936, decode.d7.loss_dice: 1.2640, decode.d8.loss_cls: 0.9416, decode.d8.loss_mask: 0.7972, decode.d8.loss_dice: 1.2608, loss: 32.6197 2022-04-29 08:52:39,105 - mmseg - INFO - Iter [24450/80000] lr: 9.970e-07, eta: 1 day, 4:29:45, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9205, decode.loss_mask: 0.7915, decode.loss_dice: 1.2551, decode.d0.loss_cls: 2.9255, decode.d0.loss_mask: 0.7785, decode.d0.loss_dice: 1.4547, decode.d1.loss_cls: 1.0099, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.3405, decode.d2.loss_cls: 0.9572, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2986, decode.d3.loss_cls: 0.9345, decode.d3.loss_mask: 0.8030, decode.d3.loss_dice: 1.2776, decode.d4.loss_cls: 0.9363, decode.d4.loss_mask: 0.7958, decode.d4.loss_dice: 1.2657, decode.d5.loss_cls: 0.9304, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.2591, decode.d6.loss_cls: 0.9183, decode.d6.loss_mask: 0.7891, decode.d6.loss_dice: 1.2535, decode.d7.loss_cls: 0.9206, decode.d7.loss_mask: 0.7896, decode.d7.loss_dice: 1.2522, decode.d8.loss_cls: 0.9183, decode.d8.loss_mask: 0.7898, decode.d8.loss_dice: 1.2579, loss: 32.2240 2022-04-29 08:54:08,054 - mmseg - INFO - Iter [24500/80000] lr: 9.961e-07, eta: 1 day, 4:28:05, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8985, decode.loss_mask: 0.8104, decode.loss_dice: 1.2679, decode.d0.loss_cls: 2.9419, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.4586, decode.d1.loss_cls: 0.9880, decode.d1.loss_mask: 0.8307, decode.d1.loss_dice: 1.3396, decode.d2.loss_cls: 0.9256, decode.d2.loss_mask: 0.8195, decode.d2.loss_dice: 1.3043, decode.d3.loss_cls: 0.9180, decode.d3.loss_mask: 0.8144, decode.d3.loss_dice: 1.2788, decode.d4.loss_cls: 0.9126, decode.d4.loss_mask: 0.8131, decode.d4.loss_dice: 1.2792, decode.d5.loss_cls: 0.9126, decode.d5.loss_mask: 0.8089, decode.d5.loss_dice: 1.2726, decode.d6.loss_cls: 0.9004, decode.d6.loss_mask: 0.8097, decode.d6.loss_dice: 1.2606, decode.d7.loss_cls: 0.9028, decode.d7.loss_mask: 0.8062, decode.d7.loss_dice: 1.2602, decode.d8.loss_cls: 0.8979, decode.d8.loss_mask: 0.8084, decode.d8.loss_dice: 1.2722, loss: 32.3103 2022-04-29 08:55:38,527 - mmseg - INFO - Iter [24550/80000] lr: 9.952e-07, eta: 1 day, 4:26:28, time: 1.807, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9104, decode.loss_mask: 0.8323, decode.loss_dice: 1.2873, decode.d0.loss_cls: 2.9185, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.4875, decode.d1.loss_cls: 0.9953, decode.d1.loss_mask: 0.8556, decode.d1.loss_dice: 1.3778, decode.d2.loss_cls: 0.9463, decode.d2.loss_mask: 0.8395, decode.d2.loss_dice: 1.3290, decode.d3.loss_cls: 0.9208, decode.d3.loss_mask: 0.8306, decode.d3.loss_dice: 1.3093, decode.d4.loss_cls: 0.9240, decode.d4.loss_mask: 0.8280, decode.d4.loss_dice: 1.3002, decode.d5.loss_cls: 0.9151, decode.d5.loss_mask: 0.8250, decode.d5.loss_dice: 1.2921, decode.d6.loss_cls: 0.9130, decode.d6.loss_mask: 0.8271, decode.d6.loss_dice: 1.2857, decode.d7.loss_cls: 0.9100, decode.d7.loss_mask: 0.8255, decode.d7.loss_dice: 1.2828, decode.d8.loss_cls: 0.9108, decode.d8.loss_mask: 0.8280, decode.d8.loss_dice: 1.2846, loss: 32.7947 2022-04-29 08:57:07,793 - mmseg - INFO - Iter [24600/80000] lr: 9.943e-07, eta: 1 day, 4:24:49, time: 1.787, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9019, decode.loss_mask: 0.8015, decode.loss_dice: 1.2305, decode.d0.loss_cls: 2.8276, decode.d0.loss_mask: 0.7976, decode.d0.loss_dice: 1.4297, decode.d1.loss_cls: 0.9853, decode.d1.loss_mask: 0.8380, decode.d1.loss_dice: 1.3114, decode.d2.loss_cls: 0.9260, decode.d2.loss_mask: 0.8241, decode.d2.loss_dice: 1.2690, decode.d3.loss_cls: 0.9122, decode.d3.loss_mask: 0.8183, decode.d3.loss_dice: 1.2436, decode.d4.loss_cls: 0.9069, decode.d4.loss_mask: 0.8155, decode.d4.loss_dice: 1.2477, decode.d5.loss_cls: 0.9009, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.2397, decode.d6.loss_cls: 0.8912, decode.d6.loss_mask: 0.8112, decode.d6.loss_dice: 1.2290, decode.d7.loss_cls: 0.8999, decode.d7.loss_mask: 0.8095, decode.d7.loss_dice: 1.2362, decode.d8.loss_cls: 0.8953, decode.d8.loss_mask: 0.8101, decode.d8.loss_dice: 1.2293, loss: 31.8502 2022-04-29 08:58:36,507 - mmseg - INFO - Iter [24650/80000] lr: 9.934e-07, eta: 1 day, 4:23:09, time: 1.774, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9307, decode.loss_mask: 0.7941, decode.loss_dice: 1.2448, decode.d0.loss_cls: 2.9337, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.4368, decode.d1.loss_cls: 1.0164, decode.d1.loss_mask: 0.8141, decode.d1.loss_dice: 1.3402, decode.d2.loss_cls: 0.9495, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.2939, decode.d3.loss_cls: 0.9296, decode.d3.loss_mask: 0.8046, decode.d3.loss_dice: 1.2683, decode.d4.loss_cls: 0.9265, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.2719, decode.d5.loss_cls: 0.9218, decode.d5.loss_mask: 0.8033, decode.d5.loss_dice: 1.2645, decode.d6.loss_cls: 0.9229, decode.d6.loss_mask: 0.8004, decode.d6.loss_dice: 1.2462, decode.d7.loss_cls: 0.9255, decode.d7.loss_mask: 0.7954, decode.d7.loss_dice: 1.2467, decode.d8.loss_cls: 0.9212, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2471, loss: 32.2319 2022-04-29 09:00:05,181 - mmseg - INFO - Iter [24700/80000] lr: 9.925e-07, eta: 1 day, 4:21:29, time: 1.774, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9184, decode.loss_mask: 0.7781, decode.loss_dice: 1.2421, decode.d0.loss_cls: 2.9428, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.4383, decode.d1.loss_cls: 1.0224, decode.d1.loss_mask: 0.8027, decode.d1.loss_dice: 1.3245, decode.d2.loss_cls: 0.9526, decode.d2.loss_mask: 0.7896, decode.d2.loss_dice: 1.2773, decode.d3.loss_cls: 0.9377, decode.d3.loss_mask: 0.7878, decode.d3.loss_dice: 1.2554, decode.d4.loss_cls: 0.9341, decode.d4.loss_mask: 0.7856, decode.d4.loss_dice: 1.2551, decode.d5.loss_cls: 0.9315, decode.d5.loss_mask: 0.7819, decode.d5.loss_dice: 1.2426, decode.d6.loss_cls: 0.9179, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.9209, decode.d7.loss_mask: 0.7768, decode.d7.loss_dice: 1.2395, decode.d8.loss_cls: 0.9157, decode.d8.loss_mask: 0.7784, decode.d8.loss_dice: 1.2382, loss: 31.9727 2022-04-29 09:01:34,415 - mmseg - INFO - Iter [24750/80000] lr: 9.916e-07, eta: 1 day, 4:19:49, time: 1.785, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8960, decode.loss_mask: 0.8165, decode.loss_dice: 1.2503, decode.d0.loss_cls: 2.8641, decode.d0.loss_mask: 0.8003, decode.d0.loss_dice: 1.4335, decode.d1.loss_cls: 0.9806, decode.d1.loss_mask: 0.8424, decode.d1.loss_dice: 1.3249, decode.d2.loss_cls: 0.9310, decode.d2.loss_mask: 0.8303, decode.d2.loss_dice: 1.2889, decode.d3.loss_cls: 0.9163, decode.d3.loss_mask: 0.8180, decode.d3.loss_dice: 1.2594, decode.d4.loss_cls: 0.9121, decode.d4.loss_mask: 0.8182, decode.d4.loss_dice: 1.2546, decode.d5.loss_cls: 0.9013, decode.d5.loss_mask: 0.8166, decode.d5.loss_dice: 1.2565, decode.d6.loss_cls: 0.8937, decode.d6.loss_mask: 0.8163, decode.d6.loss_dice: 1.2464, decode.d7.loss_cls: 0.8955, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.2453, decode.d8.loss_cls: 0.8966, decode.d8.loss_mask: 0.8161, decode.d8.loss_dice: 1.2496, loss: 32.0869 2022-04-29 09:03:02,949 - mmseg - INFO - Iter [24800/80000] lr: 9.907e-07, eta: 1 day, 4:18:09, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9112, decode.loss_mask: 0.8128, decode.loss_dice: 1.2634, decode.d0.loss_cls: 2.9253, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.4610, decode.d1.loss_cls: 1.0036, decode.d1.loss_mask: 0.8406, decode.d1.loss_dice: 1.3607, decode.d2.loss_cls: 0.9469, decode.d2.loss_mask: 0.8238, decode.d2.loss_dice: 1.3074, decode.d3.loss_cls: 0.9292, decode.d3.loss_mask: 0.8190, decode.d3.loss_dice: 1.2780, decode.d4.loss_cls: 0.9269, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2781, decode.d5.loss_cls: 0.9274, decode.d5.loss_mask: 0.8129, decode.d5.loss_dice: 1.2675, decode.d6.loss_cls: 0.9172, decode.d6.loss_mask: 0.8099, decode.d6.loss_dice: 1.2550, decode.d7.loss_cls: 0.9177, decode.d7.loss_mask: 0.8134, decode.d7.loss_dice: 1.2664, decode.d8.loss_cls: 0.9115, decode.d8.loss_mask: 0.8136, decode.d8.loss_dice: 1.2623, loss: 32.4705 2022-04-29 09:04:31,228 - mmseg - INFO - Iter [24850/80000] lr: 9.898e-07, eta: 1 day, 4:16:28, time: 1.766, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9163, decode.loss_mask: 0.8162, decode.loss_dice: 1.2364, decode.d0.loss_cls: 2.9048, decode.d0.loss_mask: 0.8034, decode.d0.loss_dice: 1.4328, decode.d1.loss_cls: 1.0132, decode.d1.loss_mask: 0.8367, decode.d1.loss_dice: 1.3175, decode.d2.loss_cls: 0.9538, decode.d2.loss_mask: 0.8240, decode.d2.loss_dice: 1.2749, decode.d3.loss_cls: 0.9338, decode.d3.loss_mask: 0.8194, decode.d3.loss_dice: 1.2492, decode.d4.loss_cls: 0.9283, decode.d4.loss_mask: 0.8189, decode.d4.loss_dice: 1.2473, decode.d5.loss_cls: 0.9273, decode.d5.loss_mask: 0.8181, decode.d5.loss_dice: 1.2430, decode.d6.loss_cls: 0.9192, decode.d6.loss_mask: 0.8177, decode.d6.loss_dice: 1.2360, decode.d7.loss_cls: 0.9171, decode.d7.loss_mask: 0.8172, decode.d7.loss_dice: 1.2378, decode.d8.loss_cls: 0.9160, decode.d8.loss_mask: 0.8177, decode.d8.loss_dice: 1.2368, loss: 32.2308 2022-04-29 09:06:00,375 - mmseg - INFO - Iter [24900/80000] lr: 9.889e-07, eta: 1 day, 4:14:48, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8850, decode.loss_mask: 0.7847, decode.loss_dice: 1.2540, decode.d0.loss_cls: 2.9046, decode.d0.loss_mask: 0.7781, decode.d0.loss_dice: 1.4540, decode.d1.loss_cls: 0.9877, decode.d1.loss_mask: 0.8086, decode.d1.loss_dice: 1.3308, decode.d2.loss_cls: 0.9268, decode.d2.loss_mask: 0.7920, decode.d2.loss_dice: 1.2810, decode.d3.loss_cls: 0.9059, decode.d3.loss_mask: 0.7841, decode.d3.loss_dice: 1.2573, decode.d4.loss_cls: 0.8946, decode.d4.loss_mask: 0.7869, decode.d4.loss_dice: 1.2571, decode.d5.loss_cls: 0.8951, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2552, decode.d6.loss_cls: 0.8925, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.2459, decode.d7.loss_cls: 0.8957, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.2476, decode.d8.loss_cls: 0.8909, decode.d8.loss_mask: 0.7809, decode.d8.loss_dice: 1.2548, loss: 31.7797 2022-04-29 09:07:29,287 - mmseg - INFO - Iter [24950/80000] lr: 9.880e-07, eta: 1 day, 4:13:09, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8929, decode.loss_mask: 0.8002, decode.loss_dice: 1.2498, decode.d0.loss_cls: 2.8921, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.4391, decode.d1.loss_cls: 0.9816, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.3291, decode.d2.loss_cls: 0.9289, decode.d2.loss_mask: 0.8029, decode.d2.loss_dice: 1.2870, decode.d3.loss_cls: 0.9133, decode.d3.loss_mask: 0.8006, decode.d3.loss_dice: 1.2684, decode.d4.loss_cls: 0.9018, decode.d4.loss_mask: 0.8074, decode.d4.loss_dice: 1.2621, decode.d5.loss_cls: 0.9006, decode.d5.loss_mask: 0.7955, decode.d5.loss_dice: 1.2589, decode.d6.loss_cls: 0.8924, decode.d6.loss_mask: 0.7990, decode.d6.loss_dice: 1.2491, decode.d7.loss_cls: 0.8983, decode.d7.loss_mask: 0.7933, decode.d7.loss_dice: 1.2447, decode.d8.loss_cls: 0.8942, decode.d8.loss_mask: 0.7981, decode.d8.loss_dice: 1.2466, loss: 31.9218 2022-04-29 09:08:58,384 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-04-29 09:09:27,647 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 09:09:27,650 - mmseg - INFO - Iter [25000/80000] lr: 9.871e-07, eta: 1 day, 4:12:33, time: 2.365, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9298, decode.loss_mask: 0.8137, decode.loss_dice: 1.2559, decode.d0.loss_cls: 2.9403, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.4645, decode.d1.loss_cls: 1.0173, decode.d1.loss_mask: 0.8537, decode.d1.loss_dice: 1.3451, decode.d2.loss_cls: 0.9562, decode.d2.loss_mask: 0.8308, decode.d2.loss_dice: 1.2967, decode.d3.loss_cls: 0.9450, decode.d3.loss_mask: 0.8210, decode.d3.loss_dice: 1.2655, decode.d4.loss_cls: 0.9372, decode.d4.loss_mask: 0.8222, decode.d4.loss_dice: 1.2724, decode.d5.loss_cls: 0.9272, decode.d5.loss_mask: 0.8194, decode.d5.loss_dice: 1.2586, decode.d6.loss_cls: 0.9212, decode.d6.loss_mask: 0.8145, decode.d6.loss_dice: 1.2534, decode.d7.loss_cls: 0.9322, decode.d7.loss_mask: 0.8119, decode.d7.loss_dice: 1.2545, decode.d8.loss_cls: 0.9269, decode.d8.loss_mask: 0.8153, decode.d8.loss_dice: 1.2561, loss: 32.5661 2022-04-29 09:10:57,255 - mmseg - INFO - Iter [25050/80000] lr: 9.862e-07, eta: 1 day, 4:10:56, time: 1.795, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9287, decode.loss_mask: 0.8230, decode.loss_dice: 1.2590, decode.d0.loss_cls: 2.9058, decode.d0.loss_mask: 0.8059, decode.d0.loss_dice: 1.4594, decode.d1.loss_cls: 1.0040, decode.d1.loss_mask: 0.8443, decode.d1.loss_dice: 1.3609, decode.d2.loss_cls: 0.9522, decode.d2.loss_mask: 0.8306, decode.d2.loss_dice: 1.3004, decode.d3.loss_cls: 0.9409, decode.d3.loss_mask: 0.8227, decode.d3.loss_dice: 1.2720, decode.d4.loss_cls: 0.9279, decode.d4.loss_mask: 0.8232, decode.d4.loss_dice: 1.2800, decode.d5.loss_cls: 0.9325, decode.d5.loss_mask: 0.8226, decode.d5.loss_dice: 1.2730, decode.d6.loss_cls: 0.9375, decode.d6.loss_mask: 0.8198, decode.d6.loss_dice: 1.2620, decode.d7.loss_cls: 0.9262, decode.d7.loss_mask: 0.8241, decode.d7.loss_dice: 1.2622, decode.d8.loss_cls: 0.9258, decode.d8.loss_mask: 0.8205, decode.d8.loss_dice: 1.2669, loss: 32.6138 2022-04-29 09:12:25,669 - mmseg - INFO - Iter [25100/80000] lr: 9.853e-07, eta: 1 day, 4:09:15, time: 1.768, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9215, decode.loss_mask: 0.7944, decode.loss_dice: 1.2432, decode.d0.loss_cls: 2.9533, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.4602, decode.d1.loss_cls: 1.0194, decode.d1.loss_mask: 0.8201, decode.d1.loss_dice: 1.3386, decode.d2.loss_cls: 0.9664, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2851, decode.d3.loss_cls: 0.9494, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2610, decode.d4.loss_cls: 0.9371, decode.d4.loss_mask: 0.7932, decode.d4.loss_dice: 1.2646, decode.d5.loss_cls: 0.9377, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.2513, decode.d6.loss_cls: 0.9296, decode.d6.loss_mask: 0.7883, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 0.9289, decode.d7.loss_mask: 0.7870, decode.d7.loss_dice: 1.2462, decode.d8.loss_cls: 0.9208, decode.d8.loss_mask: 0.7924, decode.d8.loss_dice: 1.2509, loss: 32.2464 2022-04-29 09:13:54,268 - mmseg - INFO - Iter [25150/80000] lr: 9.844e-07, eta: 1 day, 4:07:34, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9327, decode.loss_mask: 0.8019, decode.loss_dice: 1.2523, decode.d0.loss_cls: 2.9118, decode.d0.loss_mask: 0.8007, decode.d0.loss_dice: 1.4579, decode.d1.loss_cls: 1.0427, decode.d1.loss_mask: 0.8349, decode.d1.loss_dice: 1.3342, decode.d2.loss_cls: 0.9689, decode.d2.loss_mask: 0.8254, decode.d2.loss_dice: 1.2928, decode.d3.loss_cls: 0.9480, decode.d3.loss_mask: 0.8161, decode.d3.loss_dice: 1.2660, decode.d4.loss_cls: 0.9481, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2614, decode.d5.loss_cls: 0.9348, decode.d5.loss_mask: 0.8088, decode.d5.loss_dice: 1.2613, decode.d6.loss_cls: 0.9391, decode.d6.loss_mask: 0.8070, decode.d6.loss_dice: 1.2494, decode.d7.loss_cls: 0.9385, decode.d7.loss_mask: 0.8048, decode.d7.loss_dice: 1.2476, decode.d8.loss_cls: 0.9357, decode.d8.loss_mask: 0.8033, decode.d8.loss_dice: 1.2489, loss: 32.4847 2022-04-29 09:15:24,223 - mmseg - INFO - Iter [25200/80000] lr: 9.835e-07, eta: 1 day, 4:05:57, time: 1.801, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8840, decode.loss_mask: 0.8421, decode.loss_dice: 1.2478, decode.d0.loss_cls: 2.8769, decode.d0.loss_mask: 0.8139, decode.d0.loss_dice: 1.4309, decode.d1.loss_cls: 0.9776, decode.d1.loss_mask: 0.8519, decode.d1.loss_dice: 1.3349, decode.d2.loss_cls: 0.9069, decode.d2.loss_mask: 0.8407, decode.d2.loss_dice: 1.2907, decode.d3.loss_cls: 0.8927, decode.d3.loss_mask: 0.8377, decode.d3.loss_dice: 1.2703, decode.d4.loss_cls: 0.8826, decode.d4.loss_mask: 0.8370, decode.d4.loss_dice: 1.2696, decode.d5.loss_cls: 0.8783, decode.d5.loss_mask: 0.8410, decode.d5.loss_dice: 1.2699, decode.d6.loss_cls: 0.8759, decode.d6.loss_mask: 0.8330, decode.d6.loss_dice: 1.2544, decode.d7.loss_cls: 0.8849, decode.d7.loss_mask: 0.8330, decode.d7.loss_dice: 1.2538, decode.d8.loss_cls: 0.8796, decode.d8.loss_mask: 0.8355, decode.d8.loss_dice: 1.2521, loss: 32.1796 2022-04-29 09:16:52,910 - mmseg - INFO - Iter [25250/80000] lr: 9.826e-07, eta: 1 day, 4:04:17, time: 1.775, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9202, decode.loss_mask: 0.8051, decode.loss_dice: 1.2722, decode.d0.loss_cls: 2.9596, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.4586, decode.d1.loss_cls: 1.0063, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.3700, decode.d2.loss_cls: 0.9417, decode.d2.loss_mask: 0.8155, decode.d2.loss_dice: 1.3188, decode.d3.loss_cls: 0.9323, decode.d3.loss_mask: 0.8147, decode.d3.loss_dice: 1.2913, decode.d4.loss_cls: 0.9232, decode.d4.loss_mask: 0.8126, decode.d4.loss_dice: 1.2871, decode.d5.loss_cls: 0.9128, decode.d5.loss_mask: 0.8065, decode.d5.loss_dice: 1.2854, decode.d6.loss_cls: 0.9137, decode.d6.loss_mask: 0.8068, decode.d6.loss_dice: 1.2692, decode.d7.loss_cls: 0.9179, decode.d7.loss_mask: 0.8086, decode.d7.loss_dice: 1.2726, decode.d8.loss_cls: 0.9122, decode.d8.loss_mask: 0.8100, decode.d8.loss_dice: 1.2736, loss: 32.5518 2022-04-29 09:18:22,170 - mmseg - INFO - Iter [25300/80000] lr: 9.817e-07, eta: 1 day, 4:02:38, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9400, decode.loss_mask: 0.8269, decode.loss_dice: 1.2775, decode.d0.loss_cls: 2.9685, decode.d0.loss_mask: 0.8121, decode.d0.loss_dice: 1.4763, decode.d1.loss_cls: 1.0345, decode.d1.loss_mask: 0.8420, decode.d1.loss_dice: 1.3668, decode.d2.loss_cls: 0.9695, decode.d2.loss_mask: 0.8329, decode.d2.loss_dice: 1.3176, decode.d3.loss_cls: 0.9524, decode.d3.loss_mask: 0.8165, decode.d3.loss_dice: 1.2968, decode.d4.loss_cls: 0.9447, decode.d4.loss_mask: 0.8222, decode.d4.loss_dice: 1.2912, decode.d5.loss_cls: 0.9373, decode.d5.loss_mask: 0.8252, decode.d5.loss_dice: 1.2909, decode.d6.loss_cls: 0.9406, decode.d6.loss_mask: 0.8194, decode.d6.loss_dice: 1.2755, decode.d7.loss_cls: 0.9428, decode.d7.loss_mask: 0.8279, decode.d7.loss_dice: 1.2737, decode.d8.loss_cls: 0.9371, decode.d8.loss_mask: 0.8262, decode.d8.loss_dice: 1.2797, loss: 32.9647 2022-04-29 09:19:51,177 - mmseg - INFO - Iter [25350/80000] lr: 9.808e-07, eta: 1 day, 4:00:58, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9218, decode.loss_mask: 0.7962, decode.loss_dice: 1.2629, decode.d0.loss_cls: 2.9333, decode.d0.loss_mask: 0.7807, decode.d0.loss_dice: 1.4600, decode.d1.loss_cls: 1.0075, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.3472, decode.d2.loss_cls: 0.9474, decode.d2.loss_mask: 0.7989, decode.d2.loss_dice: 1.2989, decode.d3.loss_cls: 0.9329, decode.d3.loss_mask: 0.7947, decode.d3.loss_dice: 1.2763, decode.d4.loss_cls: 0.9248, decode.d4.loss_mask: 0.8024, decode.d4.loss_dice: 1.2786, decode.d5.loss_cls: 0.9257, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.2616, decode.d6.loss_cls: 0.9233, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.2583, decode.d7.loss_cls: 0.9149, decode.d7.loss_mask: 0.7965, decode.d7.loss_dice: 1.2565, decode.d8.loss_cls: 0.9134, decode.d8.loss_mask: 0.7968, decode.d8.loss_dice: 1.2639, loss: 32.2731 2022-04-29 09:21:19,575 - mmseg - INFO - Iter [25400/80000] lr: 9.799e-07, eta: 1 day, 3:59:18, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9071, decode.loss_mask: 0.8175, decode.loss_dice: 1.2774, decode.d0.loss_cls: 2.9138, decode.d0.loss_mask: 0.8007, decode.d0.loss_dice: 1.4838, decode.d1.loss_cls: 0.9872, decode.d1.loss_mask: 0.8413, decode.d1.loss_dice: 1.3730, decode.d2.loss_cls: 0.9323, decode.d2.loss_mask: 0.8305, decode.d2.loss_dice: 1.3165, decode.d3.loss_cls: 0.9186, decode.d3.loss_mask: 0.8182, decode.d3.loss_dice: 1.2909, decode.d4.loss_cls: 0.9148, decode.d4.loss_mask: 0.8191, decode.d4.loss_dice: 1.2861, decode.d5.loss_cls: 0.9191, decode.d5.loss_mask: 0.8160, decode.d5.loss_dice: 1.2789, decode.d6.loss_cls: 0.9109, decode.d6.loss_mask: 0.8122, decode.d6.loss_dice: 1.2746, decode.d7.loss_cls: 0.9056, decode.d7.loss_mask: 0.8154, decode.d7.loss_dice: 1.2763, decode.d8.loss_cls: 0.9012, decode.d8.loss_mask: 0.8152, decode.d8.loss_dice: 1.2854, loss: 32.5396 2022-04-29 09:22:48,093 - mmseg - INFO - Iter [25450/80000] lr: 9.791e-07, eta: 1 day, 3:57:38, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8797, decode.loss_mask: 0.8001, decode.loss_dice: 1.2032, decode.d0.loss_cls: 2.8545, decode.d0.loss_mask: 0.7856, decode.d0.loss_dice: 1.4008, decode.d1.loss_cls: 0.9644, decode.d1.loss_mask: 0.8248, decode.d1.loss_dice: 1.2977, decode.d2.loss_cls: 0.9095, decode.d2.loss_mask: 0.8101, decode.d2.loss_dice: 1.2456, decode.d3.loss_cls: 0.9026, decode.d3.loss_mask: 0.7988, decode.d3.loss_dice: 1.2206, decode.d4.loss_cls: 0.8913, decode.d4.loss_mask: 0.7994, decode.d4.loss_dice: 1.2230, decode.d5.loss_cls: 0.8885, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.2154, decode.d6.loss_cls: 0.8853, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2076, decode.d7.loss_cls: 0.8832, decode.d7.loss_mask: 0.7949, decode.d7.loss_dice: 1.2090, decode.d8.loss_cls: 0.8750, decode.d8.loss_mask: 0.7999, decode.d8.loss_dice: 1.2084, loss: 31.3711 2022-04-29 09:24:17,271 - mmseg - INFO - Iter [25500/80000] lr: 9.782e-07, eta: 1 day, 3:55:59, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9071, decode.loss_mask: 0.8099, decode.loss_dice: 1.2754, decode.d0.loss_cls: 2.8736, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.4772, decode.d1.loss_cls: 1.0003, decode.d1.loss_mask: 0.8399, decode.d1.loss_dice: 1.3687, decode.d2.loss_cls: 0.9387, decode.d2.loss_mask: 0.8260, decode.d2.loss_dice: 1.3131, decode.d3.loss_cls: 0.9244, decode.d3.loss_mask: 0.8191, decode.d3.loss_dice: 1.2851, decode.d4.loss_cls: 0.9147, decode.d4.loss_mask: 0.8219, decode.d4.loss_dice: 1.2809, decode.d5.loss_cls: 0.9174, decode.d5.loss_mask: 0.8150, decode.d5.loss_dice: 1.2778, decode.d6.loss_cls: 0.9086, decode.d6.loss_mask: 0.8123, decode.d6.loss_dice: 1.2666, decode.d7.loss_cls: 0.9041, decode.d7.loss_mask: 0.8107, decode.d7.loss_dice: 1.2708, decode.d8.loss_cls: 0.9049, decode.d8.loss_mask: 0.8077, decode.d8.loss_dice: 1.2703, loss: 32.4539 2022-04-29 09:25:45,748 - mmseg - INFO - Iter [25550/80000] lr: 9.773e-07, eta: 1 day, 3:54:18, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9058, decode.loss_mask: 0.8024, decode.loss_dice: 1.2551, decode.d0.loss_cls: 2.9155, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.4499, decode.d1.loss_cls: 0.9837, decode.d1.loss_mask: 0.8300, decode.d1.loss_dice: 1.3422, decode.d2.loss_cls: 0.9334, decode.d2.loss_mask: 0.8141, decode.d2.loss_dice: 1.3015, decode.d3.loss_cls: 0.9223, decode.d3.loss_mask: 0.8045, decode.d3.loss_dice: 1.2815, decode.d4.loss_cls: 0.9176, decode.d4.loss_mask: 0.8052, decode.d4.loss_dice: 1.2788, decode.d5.loss_cls: 0.9135, decode.d5.loss_mask: 0.7987, decode.d5.loss_dice: 1.2679, decode.d6.loss_cls: 0.9016, decode.d6.loss_mask: 0.7969, decode.d6.loss_dice: 1.2578, decode.d7.loss_cls: 0.9044, decode.d7.loss_mask: 0.7965, decode.d7.loss_dice: 1.2583, decode.d8.loss_cls: 0.9011, decode.d8.loss_mask: 0.7998, decode.d8.loss_dice: 1.2631, loss: 32.1844 2022-04-29 09:27:14,733 - mmseg - INFO - Iter [25600/80000] lr: 9.764e-07, eta: 1 day, 3:52:39, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9243, decode.loss_mask: 0.8009, decode.loss_dice: 1.2852, decode.d0.loss_cls: 2.9027, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.4775, decode.d1.loss_cls: 1.0106, decode.d1.loss_mask: 0.8387, decode.d1.loss_dice: 1.3844, decode.d2.loss_cls: 0.9524, decode.d2.loss_mask: 0.8190, decode.d2.loss_dice: 1.3225, decode.d3.loss_cls: 0.9400, decode.d3.loss_mask: 0.8158, decode.d3.loss_dice: 1.3027, decode.d4.loss_cls: 0.9405, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.2947, decode.d5.loss_cls: 0.9292, decode.d5.loss_mask: 0.8149, decode.d5.loss_dice: 1.2931, decode.d6.loss_cls: 0.9217, decode.d6.loss_mask: 0.8104, decode.d6.loss_dice: 1.2843, decode.d7.loss_cls: 0.9221, decode.d7.loss_mask: 0.8066, decode.d7.loss_dice: 1.2881, decode.d8.loss_cls: 0.9282, decode.d8.loss_mask: 0.8000, decode.d8.loss_dice: 1.2891, loss: 32.7104 2022-04-29 09:28:43,840 - mmseg - INFO - Iter [25650/80000] lr: 9.755e-07, eta: 1 day, 3:51:00, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9114, decode.loss_mask: 0.8226, decode.loss_dice: 1.2860, decode.d0.loss_cls: 2.9599, decode.d0.loss_mask: 0.8114, decode.d0.loss_dice: 1.4750, decode.d1.loss_cls: 1.0021, decode.d1.loss_mask: 0.8514, decode.d1.loss_dice: 1.3629, decode.d2.loss_cls: 0.9384, decode.d2.loss_mask: 0.8336, decode.d2.loss_dice: 1.3228, decode.d3.loss_cls: 0.9209, decode.d3.loss_mask: 0.8277, decode.d3.loss_dice: 1.2969, decode.d4.loss_cls: 0.9288, decode.d4.loss_mask: 0.8202, decode.d4.loss_dice: 1.2963, decode.d5.loss_cls: 0.9175, decode.d5.loss_mask: 0.8235, decode.d5.loss_dice: 1.2929, decode.d6.loss_cls: 0.9054, decode.d6.loss_mask: 0.8222, decode.d6.loss_dice: 1.2900, decode.d7.loss_cls: 0.9056, decode.d7.loss_mask: 0.8213, decode.d7.loss_dice: 1.2873, decode.d8.loss_cls: 0.9136, decode.d8.loss_mask: 0.8217, decode.d8.loss_dice: 1.2828, loss: 32.7520 2022-04-29 09:30:12,243 - mmseg - INFO - Iter [25700/80000] lr: 9.746e-07, eta: 1 day, 3:49:20, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8892, decode.loss_mask: 0.8062, decode.loss_dice: 1.2577, decode.d0.loss_cls: 2.8673, decode.d0.loss_mask: 0.7922, decode.d0.loss_dice: 1.4417, decode.d1.loss_cls: 0.9727, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.3462, decode.d2.loss_cls: 0.9157, decode.d2.loss_mask: 0.8160, decode.d2.loss_dice: 1.3059, decode.d3.loss_cls: 0.9041, decode.d3.loss_mask: 0.8093, decode.d3.loss_dice: 1.2682, decode.d4.loss_cls: 0.8979, decode.d4.loss_mask: 0.8075, decode.d4.loss_dice: 1.2681, decode.d5.loss_cls: 0.8920, decode.d5.loss_mask: 0.8056, decode.d5.loss_dice: 1.2660, decode.d6.loss_cls: 0.8886, decode.d6.loss_mask: 0.8054, decode.d6.loss_dice: 1.2601, decode.d7.loss_cls: 0.8928, decode.d7.loss_mask: 0.8029, decode.d7.loss_dice: 1.2559, decode.d8.loss_cls: 0.8894, decode.d8.loss_mask: 0.8013, decode.d8.loss_dice: 1.2618, loss: 32.0080 2022-04-29 09:31:42,302 - mmseg - INFO - Iter [25750/80000] lr: 9.737e-07, eta: 1 day, 3:47:43, time: 1.801, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9052, decode.loss_mask: 0.7944, decode.loss_dice: 1.2621, decode.d0.loss_cls: 2.9260, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.4503, decode.d1.loss_cls: 0.9875, decode.d1.loss_mask: 0.8184, decode.d1.loss_dice: 1.3470, decode.d2.loss_cls: 0.9342, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.3027, decode.d3.loss_cls: 0.9169, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.2722, decode.d4.loss_cls: 0.9119, decode.d4.loss_mask: 0.7988, decode.d4.loss_dice: 1.2765, decode.d5.loss_cls: 0.9153, decode.d5.loss_mask: 0.7969, decode.d5.loss_dice: 1.2714, decode.d6.loss_cls: 0.9020, decode.d6.loss_mask: 0.7923, decode.d6.loss_dice: 1.2543, decode.d7.loss_cls: 0.8988, decode.d7.loss_mask: 0.7965, decode.d7.loss_dice: 1.2566, decode.d8.loss_cls: 0.9025, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.2598, loss: 32.1253 2022-04-29 09:33:10,767 - mmseg - INFO - Iter [25800/80000] lr: 9.728e-07, eta: 1 day, 3:46:03, time: 1.770, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9048, decode.loss_mask: 0.7964, decode.loss_dice: 1.2316, decode.d0.loss_cls: 2.8988, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.4324, decode.d1.loss_cls: 1.0088, decode.d1.loss_mask: 0.8238, decode.d1.loss_dice: 1.3254, decode.d2.loss_cls: 0.9384, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.2775, decode.d3.loss_cls: 0.9191, decode.d3.loss_mask: 0.7964, decode.d3.loss_dice: 1.2503, decode.d4.loss_cls: 0.9147, decode.d4.loss_mask: 0.7967, decode.d4.loss_dice: 1.2474, decode.d5.loss_cls: 0.9068, decode.d5.loss_mask: 0.7957, decode.d5.loss_dice: 1.2398, decode.d6.loss_cls: 0.9017, decode.d6.loss_mask: 0.7949, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.9057, decode.d7.loss_mask: 0.7987, decode.d7.loss_dice: 1.2275, decode.d8.loss_cls: 0.8988, decode.d8.loss_mask: 0.7944, decode.d8.loss_dice: 1.2321, loss: 31.8883 2022-04-29 09:34:39,980 - mmseg - INFO - Iter [25850/80000] lr: 9.719e-07, eta: 1 day, 3:44:25, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8943, decode.loss_mask: 0.7966, decode.loss_dice: 1.2326, decode.d0.loss_cls: 2.8733, decode.d0.loss_mask: 0.7877, decode.d0.loss_dice: 1.4391, decode.d1.loss_cls: 0.9900, decode.d1.loss_mask: 0.8308, decode.d1.loss_dice: 1.3291, decode.d2.loss_cls: 0.9231, decode.d2.loss_mask: 0.8145, decode.d2.loss_dice: 1.2756, decode.d3.loss_cls: 0.9107, decode.d3.loss_mask: 0.8033, decode.d3.loss_dice: 1.2460, decode.d4.loss_cls: 0.9091, decode.d4.loss_mask: 0.8004, decode.d4.loss_dice: 1.2543, decode.d5.loss_cls: 0.9117, decode.d5.loss_mask: 0.7976, decode.d5.loss_dice: 1.2487, decode.d6.loss_cls: 0.8990, decode.d6.loss_mask: 0.7995, decode.d6.loss_dice: 1.2375, decode.d7.loss_cls: 0.8924, decode.d7.loss_mask: 0.7994, decode.d7.loss_dice: 1.2385, decode.d8.loss_cls: 0.8894, decode.d8.loss_mask: 0.7979, decode.d8.loss_dice: 1.2421, loss: 31.8642 2022-04-29 09:36:09,607 - mmseg - INFO - Iter [25900/80000] lr: 9.710e-07, eta: 1 day, 3:42:47, time: 1.792, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9196, decode.loss_mask: 0.7919, decode.loss_dice: 1.2568, decode.d0.loss_cls: 2.9155, decode.d0.loss_mask: 0.7777, decode.d0.loss_dice: 1.4464, decode.d1.loss_cls: 1.0018, decode.d1.loss_mask: 0.8123, decode.d1.loss_dice: 1.3462, decode.d2.loss_cls: 0.9483, decode.d2.loss_mask: 0.8037, decode.d2.loss_dice: 1.3040, decode.d3.loss_cls: 0.9337, decode.d3.loss_mask: 0.7986, decode.d3.loss_dice: 1.2769, decode.d4.loss_cls: 0.9258, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2751, decode.d5.loss_cls: 0.9307, decode.d5.loss_mask: 0.7915, decode.d5.loss_dice: 1.2639, decode.d6.loss_cls: 0.9180, decode.d6.loss_mask: 0.7924, decode.d6.loss_dice: 1.2563, decode.d7.loss_cls: 0.9207, decode.d7.loss_mask: 0.7916, decode.d7.loss_dice: 1.2594, decode.d8.loss_cls: 0.9101, decode.d8.loss_mask: 0.7948, decode.d8.loss_dice: 1.2642, loss: 32.2241 2022-04-29 09:37:38,455 - mmseg - INFO - Iter [25950/80000] lr: 9.701e-07, eta: 1 day, 3:41:08, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9220, decode.loss_mask: 0.8027, decode.loss_dice: 1.2864, decode.d0.loss_cls: 2.9757, decode.d0.loss_mask: 0.7878, decode.d0.loss_dice: 1.4825, decode.d1.loss_cls: 1.0264, decode.d1.loss_mask: 0.8268, decode.d1.loss_dice: 1.3818, decode.d2.loss_cls: 0.9675, decode.d2.loss_mask: 0.8081, decode.d2.loss_dice: 1.3272, decode.d3.loss_cls: 0.9420, decode.d3.loss_mask: 0.8001, decode.d3.loss_dice: 1.3051, decode.d4.loss_cls: 0.9369, decode.d4.loss_mask: 0.7958, decode.d4.loss_dice: 1.2998, decode.d5.loss_cls: 0.9293, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.2945, decode.d6.loss_cls: 0.9221, decode.d6.loss_mask: 0.7986, decode.d6.loss_dice: 1.2851, decode.d7.loss_cls: 0.9206, decode.d7.loss_mask: 0.7987, decode.d7.loss_dice: 1.2853, decode.d8.loss_cls: 0.9177, decode.d8.loss_mask: 0.8008, decode.d8.loss_dice: 1.2835, loss: 32.7109 2022-04-29 09:39:07,906 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-04-29 09:39:43,570 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 09:39:43,579 - mmseg - INFO - Iter [26000/80000] lr: 9.692e-07, eta: 1 day, 3:40:44, time: 2.500, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9282, decode.loss_mask: 0.8174, decode.loss_dice: 1.2514, decode.d0.loss_cls: 2.9296, decode.d0.loss_mask: 0.8073, decode.d0.loss_dice: 1.4539, decode.d1.loss_cls: 1.0137, decode.d1.loss_mask: 0.8474, decode.d1.loss_dice: 1.3549, decode.d2.loss_cls: 0.9624, decode.d2.loss_mask: 0.8312, decode.d2.loss_dice: 1.3014, decode.d3.loss_cls: 0.9436, decode.d3.loss_mask: 0.8275, decode.d3.loss_dice: 1.2794, decode.d4.loss_cls: 0.9459, decode.d4.loss_mask: 0.8232, decode.d4.loss_dice: 1.2767, decode.d5.loss_cls: 0.9407, decode.d5.loss_mask: 0.8235, decode.d5.loss_dice: 1.2668, decode.d6.loss_cls: 0.9326, decode.d6.loss_mask: 0.8175, decode.d6.loss_dice: 1.2517, decode.d7.loss_cls: 0.9297, decode.d7.loss_mask: 0.8174, decode.d7.loss_dice: 1.2520, decode.d8.loss_cls: 0.9274, decode.d8.loss_mask: 0.8153, decode.d8.loss_dice: 1.2525, loss: 32.6220 2022-04-29 09:41:14,004 - mmseg - INFO - Iter [26050/80000] lr: 9.683e-07, eta: 1 day, 3:39:08, time: 1.811, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8645, decode.loss_mask: 0.8069, decode.loss_dice: 1.2168, decode.d0.loss_cls: 2.8522, decode.d0.loss_mask: 0.7940, decode.d0.loss_dice: 1.4027, decode.d1.loss_cls: 0.9478, decode.d1.loss_mask: 0.8327, decode.d1.loss_dice: 1.2989, decode.d2.loss_cls: 0.8890, decode.d2.loss_mask: 0.8163, decode.d2.loss_dice: 1.2464, decode.d3.loss_cls: 0.8829, decode.d3.loss_mask: 0.8166, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8763, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.2209, decode.d5.loss_cls: 0.8681, decode.d5.loss_mask: 0.8072, decode.d5.loss_dice: 1.2201, decode.d6.loss_cls: 0.8677, decode.d6.loss_mask: 0.8042, decode.d6.loss_dice: 1.2147, decode.d7.loss_cls: 0.8656, decode.d7.loss_mask: 0.8116, decode.d7.loss_dice: 1.2059, decode.d8.loss_cls: 0.8597, decode.d8.loss_mask: 0.8118, decode.d8.loss_dice: 1.2198, loss: 31.3598 2022-04-29 09:42:43,777 - mmseg - INFO - Iter [26100/80000] lr: 9.674e-07, eta: 1 day, 3:37:30, time: 1.795, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9144, decode.loss_mask: 0.7705, decode.loss_dice: 1.2689, decode.d0.loss_cls: 2.8784, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.4815, decode.d1.loss_cls: 1.0113, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.3687, decode.d2.loss_cls: 0.9401, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.3198, decode.d3.loss_cls: 0.9387, decode.d3.loss_mask: 0.7687, decode.d3.loss_dice: 1.2877, decode.d4.loss_cls: 0.9169, decode.d4.loss_mask: 0.7756, decode.d4.loss_dice: 1.2838, decode.d5.loss_cls: 0.9211, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.2788, decode.d6.loss_cls: 0.9114, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.2698, decode.d7.loss_cls: 0.9145, decode.d7.loss_mask: 0.7715, decode.d7.loss_dice: 1.2736, decode.d8.loss_cls: 0.9048, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.2715, loss: 32.0861 2022-04-29 09:44:12,719 - mmseg - INFO - Iter [26150/80000] lr: 9.665e-07, eta: 1 day, 3:35:51, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9114, decode.loss_mask: 0.7952, decode.loss_dice: 1.2582, decode.d0.loss_cls: 2.9157, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.4598, decode.d1.loss_cls: 1.0090, decode.d1.loss_mask: 0.8232, decode.d1.loss_dice: 1.3552, decode.d2.loss_cls: 0.9396, decode.d2.loss_mask: 0.8075, decode.d2.loss_dice: 1.2939, decode.d3.loss_cls: 0.9261, decode.d3.loss_mask: 0.8013, decode.d3.loss_dice: 1.2693, decode.d4.loss_cls: 0.9208, decode.d4.loss_mask: 0.8015, decode.d4.loss_dice: 1.2639, decode.d5.loss_cls: 0.9171, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.2704, decode.d6.loss_cls: 0.9130, decode.d6.loss_mask: 0.7928, decode.d6.loss_dice: 1.2572, decode.d7.loss_cls: 0.9063, decode.d7.loss_mask: 0.8018, decode.d7.loss_dice: 1.2604, decode.d8.loss_cls: 0.9074, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2584, loss: 32.2215 2022-04-29 09:45:42,346 - mmseg - INFO - Iter [26200/80000] lr: 9.656e-07, eta: 1 day, 3:34:14, time: 1.793, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8707, decode.loss_mask: 0.8123, decode.loss_dice: 1.2591, decode.d0.loss_cls: 2.8786, decode.d0.loss_mask: 0.8039, decode.d0.loss_dice: 1.4468, decode.d1.loss_cls: 0.9519, decode.d1.loss_mask: 0.8457, decode.d1.loss_dice: 1.3500, decode.d2.loss_cls: 0.9049, decode.d2.loss_mask: 0.8273, decode.d2.loss_dice: 1.3021, decode.d3.loss_cls: 0.8886, decode.d3.loss_mask: 0.8206, decode.d3.loss_dice: 1.2793, decode.d4.loss_cls: 0.8799, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2782, decode.d5.loss_cls: 0.8706, decode.d5.loss_mask: 0.8184, decode.d5.loss_dice: 1.2706, decode.d6.loss_cls: 0.8690, decode.d6.loss_mask: 0.8167, decode.d6.loss_dice: 1.2667, decode.d7.loss_cls: 0.8762, decode.d7.loss_mask: 0.8161, decode.d7.loss_dice: 1.2730, decode.d8.loss_cls: 0.8700, decode.d8.loss_mask: 0.8140, decode.d8.loss_dice: 1.2626, loss: 32.0409 2022-04-29 09:47:11,533 - mmseg - INFO - Iter [26250/80000] lr: 9.647e-07, eta: 1 day, 3:32:35, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8745, decode.loss_mask: 0.7983, decode.loss_dice: 1.2120, decode.d0.loss_cls: 2.8612, decode.d0.loss_mask: 0.7936, decode.d0.loss_dice: 1.4092, decode.d1.loss_cls: 0.9588, decode.d1.loss_mask: 0.8257, decode.d1.loss_dice: 1.2981, decode.d2.loss_cls: 0.9006, decode.d2.loss_mask: 0.8066, decode.d2.loss_dice: 1.2430, decode.d3.loss_cls: 0.8838, decode.d3.loss_mask: 0.8017, decode.d3.loss_dice: 1.2136, decode.d4.loss_cls: 0.8835, decode.d4.loss_mask: 0.7910, decode.d4.loss_dice: 1.2132, decode.d5.loss_cls: 0.8803, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.2165, decode.d6.loss_cls: 0.8710, decode.d6.loss_mask: 0.7969, decode.d6.loss_dice: 1.2082, decode.d7.loss_cls: 0.8714, decode.d7.loss_mask: 0.7966, decode.d7.loss_dice: 1.2108, decode.d8.loss_cls: 0.8751, decode.d8.loss_mask: 0.7929, decode.d8.loss_dice: 1.2215, loss: 31.3057 2022-04-29 09:48:40,536 - mmseg - INFO - Iter [26300/80000] lr: 9.638e-07, eta: 1 day, 3:30:56, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8720, decode.loss_mask: 0.8161, decode.loss_dice: 1.2550, decode.d0.loss_cls: 2.8283, decode.d0.loss_mask: 0.8021, decode.d0.loss_dice: 1.4519, decode.d1.loss_cls: 0.9528, decode.d1.loss_mask: 0.8409, decode.d1.loss_dice: 1.3533, decode.d2.loss_cls: 0.9000, decode.d2.loss_mask: 0.8295, decode.d2.loss_dice: 1.2993, decode.d3.loss_cls: 0.8862, decode.d3.loss_mask: 0.8172, decode.d3.loss_dice: 1.2764, decode.d4.loss_cls: 0.8837, decode.d4.loss_mask: 0.8158, decode.d4.loss_dice: 1.2727, decode.d5.loss_cls: 0.8803, decode.d5.loss_mask: 0.8164, decode.d5.loss_dice: 1.2641, decode.d6.loss_cls: 0.8723, decode.d6.loss_mask: 0.8181, decode.d6.loss_dice: 1.2601, decode.d7.loss_cls: 0.8738, decode.d7.loss_mask: 0.8139, decode.d7.loss_dice: 1.2601, decode.d8.loss_cls: 0.8702, decode.d8.loss_mask: 0.8186, decode.d8.loss_dice: 1.2582, loss: 31.9595 2022-04-29 09:50:09,087 - mmseg - INFO - Iter [26350/80000] lr: 9.629e-07, eta: 1 day, 3:29:17, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8854, decode.loss_mask: 0.8076, decode.loss_dice: 1.2681, decode.d0.loss_cls: 2.8929, decode.d0.loss_mask: 0.7912, decode.d0.loss_dice: 1.4559, decode.d1.loss_cls: 0.9795, decode.d1.loss_mask: 0.8282, decode.d1.loss_dice: 1.3529, decode.d2.loss_cls: 0.9297, decode.d2.loss_mask: 0.8114, decode.d2.loss_dice: 1.3001, decode.d3.loss_cls: 0.9076, decode.d3.loss_mask: 0.8053, decode.d3.loss_dice: 1.2848, decode.d4.loss_cls: 0.8980, decode.d4.loss_mask: 0.8065, decode.d4.loss_dice: 1.2830, decode.d5.loss_cls: 0.8919, decode.d5.loss_mask: 0.8102, decode.d5.loss_dice: 1.2756, decode.d6.loss_cls: 0.8888, decode.d6.loss_mask: 0.8014, decode.d6.loss_dice: 1.2668, decode.d7.loss_cls: 0.8873, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.2715, decode.d8.loss_cls: 0.8893, decode.d8.loss_mask: 0.8048, decode.d8.loss_dice: 1.2697, loss: 32.1530 2022-04-29 09:51:37,938 - mmseg - INFO - Iter [26400/80000] lr: 9.620e-07, eta: 1 day, 3:27:38, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9078, decode.loss_mask: 0.7948, decode.loss_dice: 1.2596, decode.d0.loss_cls: 2.9019, decode.d0.loss_mask: 0.7781, decode.d0.loss_dice: 1.4481, decode.d1.loss_cls: 1.0036, decode.d1.loss_mask: 0.8149, decode.d1.loss_dice: 1.3412, decode.d2.loss_cls: 0.9377, decode.d2.loss_mask: 0.8059, decode.d2.loss_dice: 1.2879, decode.d3.loss_cls: 0.9219, decode.d3.loss_mask: 0.8055, decode.d3.loss_dice: 1.2671, decode.d4.loss_cls: 0.9158, decode.d4.loss_mask: 0.8057, decode.d4.loss_dice: 1.2700, decode.d5.loss_cls: 0.9084, decode.d5.loss_mask: 0.8026, decode.d5.loss_dice: 1.2657, decode.d6.loss_cls: 0.9033, decode.d6.loss_mask: 0.8013, decode.d6.loss_dice: 1.2511, decode.d7.loss_cls: 0.9099, decode.d7.loss_mask: 0.7958, decode.d7.loss_dice: 1.2494, decode.d8.loss_cls: 0.9025, decode.d8.loss_mask: 0.8013, decode.d8.loss_dice: 1.2511, loss: 32.1098 2022-04-29 09:53:07,809 - mmseg - INFO - Iter [26450/80000] lr: 9.611e-07, eta: 1 day, 3:26:01, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8933, decode.loss_mask: 0.7982, decode.loss_dice: 1.2221, decode.d0.loss_cls: 2.8188, decode.d0.loss_mask: 0.7910, decode.d0.loss_dice: 1.4102, decode.d1.loss_cls: 0.9750, decode.d1.loss_mask: 0.8282, decode.d1.loss_dice: 1.3104, decode.d2.loss_cls: 0.9196, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.2538, decode.d3.loss_cls: 0.8992, decode.d3.loss_mask: 0.8030, decode.d3.loss_dice: 1.2322, decode.d4.loss_cls: 0.8936, decode.d4.loss_mask: 0.8064, decode.d4.loss_dice: 1.2393, decode.d5.loss_cls: 0.8992, decode.d5.loss_mask: 0.8044, decode.d5.loss_dice: 1.2340, decode.d6.loss_cls: 0.8930, decode.d6.loss_mask: 0.7980, decode.d6.loss_dice: 1.2183, decode.d7.loss_cls: 0.8921, decode.d7.loss_mask: 0.7979, decode.d7.loss_dice: 1.2197, decode.d8.loss_cls: 0.8859, decode.d8.loss_mask: 0.7995, decode.d8.loss_dice: 1.2207, loss: 31.5660 2022-04-29 09:54:36,812 - mmseg - INFO - Iter [26500/80000] lr: 9.602e-07, eta: 1 day, 3:24:22, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9300, decode.loss_mask: 0.8076, decode.loss_dice: 1.2799, decode.d0.loss_cls: 2.8985, decode.d0.loss_mask: 0.7996, decode.d0.loss_dice: 1.4717, decode.d1.loss_cls: 1.0062, decode.d1.loss_mask: 0.8345, decode.d1.loss_dice: 1.3730, decode.d2.loss_cls: 0.9620, decode.d2.loss_mask: 0.8217, decode.d2.loss_dice: 1.3169, decode.d3.loss_cls: 0.9397, decode.d3.loss_mask: 0.8139, decode.d3.loss_dice: 1.2960, decode.d4.loss_cls: 0.9355, decode.d4.loss_mask: 0.8147, decode.d4.loss_dice: 1.2962, decode.d5.loss_cls: 0.9343, decode.d5.loss_mask: 0.8139, decode.d5.loss_dice: 1.2845, decode.d6.loss_cls: 0.9320, decode.d6.loss_mask: 0.8095, decode.d6.loss_dice: 1.2772, decode.d7.loss_cls: 0.9289, decode.d7.loss_mask: 0.8096, decode.d7.loss_dice: 1.2802, decode.d8.loss_cls: 0.9316, decode.d8.loss_mask: 0.8079, decode.d8.loss_dice: 1.2843, loss: 32.6916 2022-04-29 09:56:06,394 - mmseg - INFO - Iter [26550/80000] lr: 9.593e-07, eta: 1 day, 3:22:44, time: 1.792, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8869, decode.loss_mask: 0.8213, decode.loss_dice: 1.2382, decode.d0.loss_cls: 2.8242, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.4243, decode.d1.loss_cls: 0.9771, decode.d1.loss_mask: 0.8500, decode.d1.loss_dice: 1.3203, decode.d2.loss_cls: 0.9090, decode.d2.loss_mask: 0.8379, decode.d2.loss_dice: 1.2716, decode.d3.loss_cls: 0.9010, decode.d3.loss_mask: 0.8194, decode.d3.loss_dice: 1.2521, decode.d4.loss_cls: 0.8885, decode.d4.loss_mask: 0.8239, decode.d4.loss_dice: 1.2491, decode.d5.loss_cls: 0.8874, decode.d5.loss_mask: 0.8236, decode.d5.loss_dice: 1.2397, decode.d6.loss_cls: 0.8800, decode.d6.loss_mask: 0.8226, decode.d6.loss_dice: 1.2297, decode.d7.loss_cls: 0.8805, decode.d7.loss_mask: 0.8270, decode.d7.loss_dice: 1.2336, decode.d8.loss_cls: 0.8782, decode.d8.loss_mask: 0.8221, decode.d8.loss_dice: 1.2416, loss: 31.8728 2022-04-29 09:57:35,758 - mmseg - INFO - Iter [26600/80000] lr: 9.584e-07, eta: 1 day, 3:21:07, time: 1.789, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9177, decode.loss_mask: 0.8210, decode.loss_dice: 1.2542, decode.d0.loss_cls: 2.9105, decode.d0.loss_mask: 0.8065, decode.d0.loss_dice: 1.4597, decode.d1.loss_cls: 0.9960, decode.d1.loss_mask: 0.8416, decode.d1.loss_dice: 1.3468, decode.d2.loss_cls: 0.9399, decode.d2.loss_mask: 0.8367, decode.d2.loss_dice: 1.3008, decode.d3.loss_cls: 0.9223, decode.d3.loss_mask: 0.8226, decode.d3.loss_dice: 1.2645, decode.d4.loss_cls: 0.9194, decode.d4.loss_mask: 0.8210, decode.d4.loss_dice: 1.2667, decode.d5.loss_cls: 0.9129, decode.d5.loss_mask: 0.8226, decode.d5.loss_dice: 1.2639, decode.d6.loss_cls: 0.9127, decode.d6.loss_mask: 0.8183, decode.d6.loss_dice: 1.2509, decode.d7.loss_cls: 0.9129, decode.d7.loss_mask: 0.8212, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 0.9111, decode.d8.loss_mask: 0.8163, decode.d8.loss_dice: 1.2576, loss: 32.4037 2022-04-29 09:59:06,131 - mmseg - INFO - Iter [26650/80000] lr: 9.575e-07, eta: 1 day, 3:19:31, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9050, decode.loss_mask: 0.8045, decode.loss_dice: 1.2356, decode.d0.loss_cls: 2.9162, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4315, decode.d1.loss_cls: 0.9899, decode.d1.loss_mask: 0.8252, decode.d1.loss_dice: 1.3240, decode.d2.loss_cls: 0.9267, decode.d2.loss_mask: 0.8119, decode.d2.loss_dice: 1.2790, decode.d3.loss_cls: 0.9134, decode.d3.loss_mask: 0.8070, decode.d3.loss_dice: 1.2486, decode.d4.loss_cls: 0.9083, decode.d4.loss_mask: 0.8088, decode.d4.loss_dice: 1.2459, decode.d5.loss_cls: 0.9015, decode.d5.loss_mask: 0.8090, decode.d5.loss_dice: 1.2432, decode.d6.loss_cls: 0.8996, decode.d6.loss_mask: 0.8110, decode.d6.loss_dice: 1.2363, decode.d7.loss_cls: 0.9113, decode.d7.loss_mask: 0.8030, decode.d7.loss_dice: 1.2364, decode.d8.loss_cls: 0.9042, decode.d8.loss_mask: 0.8097, decode.d8.loss_dice: 1.2329, loss: 31.9731 2022-04-29 10:00:35,173 - mmseg - INFO - Iter [26700/80000] lr: 9.566e-07, eta: 1 day, 3:17:52, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9487, decode.loss_mask: 0.8055, decode.loss_dice: 1.2616, decode.d0.loss_cls: 2.9698, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4542, decode.d1.loss_cls: 1.0402, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.3561, decode.d2.loss_cls: 0.9702, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.3010, decode.d3.loss_cls: 0.9599, decode.d3.loss_mask: 0.8125, decode.d3.loss_dice: 1.2848, decode.d4.loss_cls: 0.9622, decode.d4.loss_mask: 0.8084, decode.d4.loss_dice: 1.2862, decode.d5.loss_cls: 0.9513, decode.d5.loss_mask: 0.8086, decode.d5.loss_dice: 1.2798, decode.d6.loss_cls: 0.9463, decode.d6.loss_mask: 0.8068, decode.d6.loss_dice: 1.2642, decode.d7.loss_cls: 0.9459, decode.d7.loss_mask: 0.8080, decode.d7.loss_dice: 1.2683, decode.d8.loss_cls: 0.9384, decode.d8.loss_mask: 0.8090, decode.d8.loss_dice: 1.2662, loss: 32.7562 2022-04-29 10:02:04,456 - mmseg - INFO - Iter [26750/80000] lr: 9.557e-07, eta: 1 day, 3:16:14, time: 1.787, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8762, decode.loss_mask: 0.7909, decode.loss_dice: 1.2327, decode.d0.loss_cls: 2.8180, decode.d0.loss_mask: 0.7825, decode.d0.loss_dice: 1.4128, decode.d1.loss_cls: 0.9684, decode.d1.loss_mask: 0.8075, decode.d1.loss_dice: 1.3224, decode.d2.loss_cls: 0.9042, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.2773, decode.d3.loss_cls: 0.8923, decode.d3.loss_mask: 0.8012, decode.d3.loss_dice: 1.2517, decode.d4.loss_cls: 0.8872, decode.d4.loss_mask: 0.8023, decode.d4.loss_dice: 1.2514, decode.d5.loss_cls: 0.8877, decode.d5.loss_mask: 0.7960, decode.d5.loss_dice: 1.2400, decode.d6.loss_cls: 0.8785, decode.d6.loss_mask: 0.7955, decode.d6.loss_dice: 1.2366, decode.d7.loss_cls: 0.8784, decode.d7.loss_mask: 0.7904, decode.d7.loss_dice: 1.2360, decode.d8.loss_cls: 0.8797, decode.d8.loss_mask: 0.7909, decode.d8.loss_dice: 1.2326, loss: 31.5260 2022-04-29 10:03:33,718 - mmseg - INFO - Iter [26800/80000] lr: 9.548e-07, eta: 1 day, 3:14:36, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9066, decode.loss_mask: 0.8117, decode.loss_dice: 1.2420, decode.d0.loss_cls: 2.8852, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.4379, decode.d1.loss_cls: 0.9852, decode.d1.loss_mask: 0.8415, decode.d1.loss_dice: 1.3383, decode.d2.loss_cls: 0.9271, decode.d2.loss_mask: 0.8264, decode.d2.loss_dice: 1.2942, decode.d3.loss_cls: 0.9224, decode.d3.loss_mask: 0.8196, decode.d3.loss_dice: 1.2602, decode.d4.loss_cls: 0.9118, decode.d4.loss_mask: 0.8161, decode.d4.loss_dice: 1.2634, decode.d5.loss_cls: 0.9123, decode.d5.loss_mask: 0.8116, decode.d5.loss_dice: 1.2569, decode.d6.loss_cls: 0.9067, decode.d6.loss_mask: 0.8081, decode.d6.loss_dice: 1.2425, decode.d7.loss_cls: 0.9113, decode.d7.loss_mask: 0.8079, decode.d7.loss_dice: 1.2453, decode.d8.loss_cls: 0.9051, decode.d8.loss_mask: 0.8101, decode.d8.loss_dice: 1.2497, loss: 32.1550 2022-04-29 10:05:02,338 - mmseg - INFO - Iter [26850/80000] lr: 9.539e-07, eta: 1 day, 3:12:57, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8930, decode.loss_mask: 0.8219, decode.loss_dice: 1.2453, decode.d0.loss_cls: 2.8473, decode.d0.loss_mask: 0.8161, decode.d0.loss_dice: 1.4473, decode.d1.loss_cls: 0.9854, decode.d1.loss_mask: 0.8520, decode.d1.loss_dice: 1.3336, decode.d2.loss_cls: 0.9310, decode.d2.loss_mask: 0.8336, decode.d2.loss_dice: 1.2886, decode.d3.loss_cls: 0.9066, decode.d3.loss_mask: 0.8269, decode.d3.loss_dice: 1.2543, decode.d4.loss_cls: 0.8997, decode.d4.loss_mask: 0.8247, decode.d4.loss_dice: 1.2623, decode.d5.loss_cls: 0.8983, decode.d5.loss_mask: 0.8223, decode.d5.loss_dice: 1.2606, decode.d6.loss_cls: 0.8872, decode.d6.loss_mask: 0.8191, decode.d6.loss_dice: 1.2454, decode.d7.loss_cls: 0.8895, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.2458, decode.d8.loss_cls: 0.8865, decode.d8.loss_mask: 0.8212, decode.d8.loss_dice: 1.2479, loss: 32.1172 2022-04-29 10:06:31,584 - mmseg - INFO - Iter [26900/80000] lr: 9.530e-07, eta: 1 day, 3:11:19, time: 1.786, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8891, decode.loss_mask: 0.8028, decode.loss_dice: 1.2535, decode.d0.loss_cls: 2.9032, decode.d0.loss_mask: 0.7823, decode.d0.loss_dice: 1.4408, decode.d1.loss_cls: 0.9741, decode.d1.loss_mask: 0.8259, decode.d1.loss_dice: 1.3378, decode.d2.loss_cls: 0.9178, decode.d2.loss_mask: 0.8189, decode.d2.loss_dice: 1.2861, decode.d3.loss_cls: 0.9022, decode.d3.loss_mask: 0.8095, decode.d3.loss_dice: 1.2689, decode.d4.loss_cls: 0.8936, decode.d4.loss_mask: 0.8105, decode.d4.loss_dice: 1.2662, decode.d5.loss_cls: 0.8972, decode.d5.loss_mask: 0.8066, decode.d5.loss_dice: 1.2560, decode.d6.loss_cls: 0.8885, decode.d6.loss_mask: 0.8033, decode.d6.loss_dice: 1.2495, decode.d7.loss_cls: 0.8915, decode.d7.loss_mask: 0.8030, decode.d7.loss_dice: 1.2455, decode.d8.loss_cls: 0.8851, decode.d8.loss_mask: 0.8062, decode.d8.loss_dice: 1.2542, loss: 31.9700 2022-04-29 10:08:01,110 - mmseg - INFO - Iter [26950/80000] lr: 9.521e-07, eta: 1 day, 3:09:42, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9257, decode.loss_mask: 0.8037, decode.loss_dice: 1.2397, decode.d0.loss_cls: 2.9266, decode.d0.loss_mask: 0.7946, decode.d0.loss_dice: 1.4488, decode.d1.loss_cls: 1.0216, decode.d1.loss_mask: 0.8297, decode.d1.loss_dice: 1.3314, decode.d2.loss_cls: 0.9611, decode.d2.loss_mask: 0.8182, decode.d2.loss_dice: 1.2919, decode.d3.loss_cls: 0.9388, decode.d3.loss_mask: 0.8130, decode.d3.loss_dice: 1.2626, decode.d4.loss_cls: 0.9431, decode.d4.loss_mask: 0.8145, decode.d4.loss_dice: 1.2688, decode.d5.loss_cls: 0.9349, decode.d5.loss_mask: 0.8127, decode.d5.loss_dice: 1.2596, decode.d6.loss_cls: 0.9323, decode.d6.loss_mask: 0.8075, decode.d6.loss_dice: 1.2507, decode.d7.loss_cls: 0.9310, decode.d7.loss_mask: 0.8056, decode.d7.loss_dice: 1.2522, decode.d8.loss_cls: 0.9308, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.2478, loss: 32.4005 2022-04-29 10:09:30,118 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-04-29 10:09:50,338 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 10:09:50,342 - mmseg - INFO - Iter [27000/80000] lr: 9.512e-07, eta: 1 day, 3:08:43, time: 2.183, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8899, decode.loss_mask: 0.8008, decode.loss_dice: 1.2451, decode.d0.loss_cls: 2.8356, decode.d0.loss_mask: 0.8009, decode.d0.loss_dice: 1.4421, decode.d1.loss_cls: 0.9858, decode.d1.loss_mask: 0.8277, decode.d1.loss_dice: 1.3466, decode.d2.loss_cls: 0.9291, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.2898, decode.d3.loss_cls: 0.9151, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2600, decode.d4.loss_cls: 0.9076, decode.d4.loss_mask: 0.8032, decode.d4.loss_dice: 1.2585, decode.d5.loss_cls: 0.8952, decode.d5.loss_mask: 0.7979, decode.d5.loss_dice: 1.2515, decode.d6.loss_cls: 0.9018, decode.d6.loss_mask: 0.7982, decode.d6.loss_dice: 1.2481, decode.d7.loss_cls: 0.8926, decode.d7.loss_mask: 0.8041, decode.d7.loss_dice: 1.2446, decode.d8.loss_cls: 0.8879, decode.d8.loss_mask: 0.8059, decode.d8.loss_dice: 1.2479, loss: 31.9170 2022-04-29 10:11:19,344 - mmseg - INFO - Iter [27050/80000] lr: 9.503e-07, eta: 1 day, 3:07:04, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8773, decode.loss_mask: 0.8233, decode.loss_dice: 1.2404, decode.d0.loss_cls: 2.8219, decode.d0.loss_mask: 0.8135, decode.d0.loss_dice: 1.4220, decode.d1.loss_cls: 0.9549, decode.d1.loss_mask: 0.8441, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 0.8981, decode.d2.loss_mask: 0.8337, decode.d2.loss_dice: 1.2784, decode.d3.loss_cls: 0.8863, decode.d3.loss_mask: 0.8263, decode.d3.loss_dice: 1.2612, decode.d4.loss_cls: 0.8784, decode.d4.loss_mask: 0.8360, decode.d4.loss_dice: 1.2566, decode.d5.loss_cls: 0.8742, decode.d5.loss_mask: 0.8284, decode.d5.loss_dice: 1.2506, decode.d6.loss_cls: 0.8728, decode.d6.loss_mask: 0.8233, decode.d6.loss_dice: 1.2416, decode.d7.loss_cls: 0.8734, decode.d7.loss_mask: 0.8245, decode.d7.loss_dice: 1.2451, decode.d8.loss_cls: 0.8743, decode.d8.loss_mask: 0.8181, decode.d8.loss_dice: 1.2453, loss: 31.8496 2022-04-29 10:12:48,241 - mmseg - INFO - Iter [27100/80000] lr: 9.494e-07, eta: 1 day, 3:05:26, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9067, decode.loss_mask: 0.8395, decode.loss_dice: 1.2781, decode.d0.loss_cls: 2.8512, decode.d0.loss_mask: 0.8310, decode.d0.loss_dice: 1.4654, decode.d1.loss_cls: 0.9915, decode.d1.loss_mask: 0.8637, decode.d1.loss_dice: 1.3609, decode.d2.loss_cls: 0.9305, decode.d2.loss_mask: 0.8553, decode.d2.loss_dice: 1.3137, decode.d3.loss_cls: 0.9138, decode.d3.loss_mask: 0.8436, decode.d3.loss_dice: 1.2857, decode.d4.loss_cls: 0.9053, decode.d4.loss_mask: 0.8454, decode.d4.loss_dice: 1.2851, decode.d5.loss_cls: 0.9079, decode.d5.loss_mask: 0.8391, decode.d5.loss_dice: 1.2814, decode.d6.loss_cls: 0.9046, decode.d6.loss_mask: 0.8446, decode.d6.loss_dice: 1.2770, decode.d7.loss_cls: 0.9048, decode.d7.loss_mask: 0.8410, decode.d7.loss_dice: 1.2753, decode.d8.loss_cls: 0.9079, decode.d8.loss_mask: 0.8409, decode.d8.loss_dice: 1.2746, loss: 32.6653 2022-04-29 10:14:17,575 - mmseg - INFO - Iter [27150/80000] lr: 9.485e-07, eta: 1 day, 3:03:48, time: 1.787, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8958, decode.loss_mask: 0.8142, decode.loss_dice: 1.2252, decode.d0.loss_cls: 2.8326, decode.d0.loss_mask: 0.8063, decode.d0.loss_dice: 1.4315, decode.d1.loss_cls: 0.9762, decode.d1.loss_mask: 0.8324, decode.d1.loss_dice: 1.3096, decode.d2.loss_cls: 0.9190, decode.d2.loss_mask: 0.8241, decode.d2.loss_dice: 1.2643, decode.d3.loss_cls: 0.9101, decode.d3.loss_mask: 0.8204, decode.d3.loss_dice: 1.2442, decode.d4.loss_cls: 0.9079, decode.d4.loss_mask: 0.8201, decode.d4.loss_dice: 1.2368, decode.d5.loss_cls: 0.9020, decode.d5.loss_mask: 0.8173, decode.d5.loss_dice: 1.2263, decode.d6.loss_cls: 0.9015, decode.d6.loss_mask: 0.8149, decode.d6.loss_dice: 1.2200, decode.d7.loss_cls: 0.9012, decode.d7.loss_mask: 0.8074, decode.d7.loss_dice: 1.2231, decode.d8.loss_cls: 0.8968, decode.d8.loss_mask: 0.8170, decode.d8.loss_dice: 1.2232, loss: 31.8216 2022-04-29 10:15:45,834 - mmseg - INFO - Iter [27200/80000] lr: 9.476e-07, eta: 1 day, 3:02:09, time: 1.765, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8913, decode.loss_mask: 0.7837, decode.loss_dice: 1.2386, decode.d0.loss_cls: 2.8698, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.4474, decode.d1.loss_cls: 0.9662, decode.d1.loss_mask: 0.8123, decode.d1.loss_dice: 1.3307, decode.d2.loss_cls: 0.9160, decode.d2.loss_mask: 0.7913, decode.d2.loss_dice: 1.2805, decode.d3.loss_cls: 0.8993, decode.d3.loss_mask: 0.7884, decode.d3.loss_dice: 1.2594, decode.d4.loss_cls: 0.8979, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.2540, decode.d5.loss_cls: 0.8922, decode.d5.loss_mask: 0.7855, decode.d5.loss_dice: 1.2478, decode.d6.loss_cls: 0.8869, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.2380, decode.d7.loss_cls: 0.8844, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.2431, decode.d8.loss_cls: 0.8855, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.2388, loss: 31.6397 2022-04-29 10:17:14,955 - mmseg - INFO - Iter [27250/80000] lr: 9.467e-07, eta: 1 day, 3:00:30, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8747, decode.loss_mask: 0.8256, decode.loss_dice: 1.2415, decode.d0.loss_cls: 2.7813, decode.d0.loss_mask: 0.8113, decode.d0.loss_dice: 1.4424, decode.d1.loss_cls: 0.9657, decode.d1.loss_mask: 0.8588, decode.d1.loss_dice: 1.3275, decode.d2.loss_cls: 0.9066, decode.d2.loss_mask: 0.8425, decode.d2.loss_dice: 1.2861, decode.d3.loss_cls: 0.8862, decode.d3.loss_mask: 0.8384, decode.d3.loss_dice: 1.2648, decode.d4.loss_cls: 0.8853, decode.d4.loss_mask: 0.8320, decode.d4.loss_dice: 1.2581, decode.d5.loss_cls: 0.8830, decode.d5.loss_mask: 0.8287, decode.d5.loss_dice: 1.2498, decode.d6.loss_cls: 0.8822, decode.d6.loss_mask: 0.8240, decode.d6.loss_dice: 1.2413, decode.d7.loss_cls: 0.8840, decode.d7.loss_mask: 0.8263, decode.d7.loss_dice: 1.2451, decode.d8.loss_cls: 0.8739, decode.d8.loss_mask: 0.8268, decode.d8.loss_dice: 1.2455, loss: 31.9395 2022-04-29 10:18:44,730 - mmseg - INFO - Iter [27300/80000] lr: 9.458e-07, eta: 1 day, 2:58:54, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9167, decode.loss_mask: 0.8109, decode.loss_dice: 1.2651, decode.d0.loss_cls: 2.8712, decode.d0.loss_mask: 0.8055, decode.d0.loss_dice: 1.4656, decode.d1.loss_cls: 1.0101, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.3593, decode.d2.loss_cls: 0.9486, decode.d2.loss_mask: 0.8077, decode.d2.loss_dice: 1.3036, decode.d3.loss_cls: 0.9194, decode.d3.loss_mask: 0.8074, decode.d3.loss_dice: 1.2811, decode.d4.loss_cls: 0.9156, decode.d4.loss_mask: 0.8118, decode.d4.loss_dice: 1.2784, decode.d5.loss_cls: 0.9192, decode.d5.loss_mask: 0.8084, decode.d5.loss_dice: 1.2756, decode.d6.loss_cls: 0.9174, decode.d6.loss_mask: 0.8067, decode.d6.loss_dice: 1.2589, decode.d7.loss_cls: 0.9153, decode.d7.loss_mask: 0.8101, decode.d7.loss_dice: 1.2614, decode.d8.loss_cls: 0.9193, decode.d8.loss_mask: 0.8044, decode.d8.loss_dice: 1.2626, loss: 32.3704 2022-04-29 10:20:13,853 - mmseg - INFO - Iter [27350/80000] lr: 9.450e-07, eta: 1 day, 2:57:16, time: 1.783, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8897, decode.loss_mask: 0.7851, decode.loss_dice: 1.2194, decode.d0.loss_cls: 2.8241, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.4183, decode.d1.loss_cls: 0.9669, decode.d1.loss_mask: 0.8092, decode.d1.loss_dice: 1.2986, decode.d2.loss_cls: 0.9182, decode.d2.loss_mask: 0.7925, decode.d2.loss_dice: 1.2496, decode.d3.loss_cls: 0.9030, decode.d3.loss_mask: 0.7882, decode.d3.loss_dice: 1.2262, decode.d4.loss_cls: 0.9024, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.2216, decode.d5.loss_cls: 0.8981, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2148, decode.d6.loss_cls: 0.8953, decode.d6.loss_mask: 0.7828, decode.d6.loss_dice: 1.2077, decode.d7.loss_cls: 0.8905, decode.d7.loss_mask: 0.7845, decode.d7.loss_dice: 1.2106, decode.d8.loss_cls: 0.8853, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.2155, loss: 31.3308 2022-04-29 10:21:43,010 - mmseg - INFO - Iter [27400/80000] lr: 9.441e-07, eta: 1 day, 2:55:38, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8966, decode.loss_mask: 0.7996, decode.loss_dice: 1.2630, decode.d0.loss_cls: 2.8628, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.4553, decode.d1.loss_cls: 0.9703, decode.d1.loss_mask: 0.8260, decode.d1.loss_dice: 1.3602, decode.d2.loss_cls: 0.9186, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.3010, decode.d3.loss_cls: 0.9003, decode.d3.loss_mask: 0.8037, decode.d3.loss_dice: 1.2752, decode.d4.loss_cls: 0.9004, decode.d4.loss_mask: 0.8030, decode.d4.loss_dice: 1.2745, decode.d5.loss_cls: 0.8959, decode.d5.loss_mask: 0.8006, decode.d5.loss_dice: 1.2772, decode.d6.loss_cls: 0.8940, decode.d6.loss_mask: 0.8012, decode.d6.loss_dice: 1.2604, decode.d7.loss_cls: 0.8893, decode.d7.loss_mask: 0.8041, decode.d7.loss_dice: 1.2566, decode.d8.loss_cls: 0.8815, decode.d8.loss_mask: 0.8042, decode.d8.loss_dice: 1.2654, loss: 32.0284 2022-04-29 10:23:12,320 - mmseg - INFO - Iter [27450/80000] lr: 9.432e-07, eta: 1 day, 2:54:00, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9270, decode.loss_mask: 0.7907, decode.loss_dice: 1.2365, decode.d0.loss_cls: 2.9351, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.4498, decode.d1.loss_cls: 1.0107, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.3282, decode.d2.loss_cls: 0.9503, decode.d2.loss_mask: 0.7993, decode.d2.loss_dice: 1.2698, decode.d3.loss_cls: 0.9337, decode.d3.loss_mask: 0.7913, decode.d3.loss_dice: 1.2475, decode.d4.loss_cls: 0.9319, decode.d4.loss_mask: 0.7958, decode.d4.loss_dice: 1.2504, decode.d5.loss_cls: 0.9257, decode.d5.loss_mask: 0.7991, decode.d5.loss_dice: 1.2428, decode.d6.loss_cls: 0.9257, decode.d6.loss_mask: 0.7923, decode.d6.loss_dice: 1.2346, decode.d7.loss_cls: 0.9261, decode.d7.loss_mask: 0.7924, decode.d7.loss_dice: 1.2325, decode.d8.loss_cls: 0.9215, decode.d8.loss_mask: 0.7902, decode.d8.loss_dice: 1.2394, loss: 32.0790 2022-04-29 10:24:41,394 - mmseg - INFO - Iter [27500/80000] lr: 9.423e-07, eta: 1 day, 2:52:22, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9134, decode.loss_mask: 0.8127, decode.loss_dice: 1.2508, decode.d0.loss_cls: 2.8691, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.4530, decode.d1.loss_cls: 1.0126, decode.d1.loss_mask: 0.8400, decode.d1.loss_dice: 1.3368, decode.d2.loss_cls: 0.9470, decode.d2.loss_mask: 0.8285, decode.d2.loss_dice: 1.2909, decode.d3.loss_cls: 0.9378, decode.d3.loss_mask: 0.8149, decode.d3.loss_dice: 1.2660, decode.d4.loss_cls: 0.9312, decode.d4.loss_mask: 0.8150, decode.d4.loss_dice: 1.2600, decode.d5.loss_cls: 0.9248, decode.d5.loss_mask: 0.8148, decode.d5.loss_dice: 1.2553, decode.d6.loss_cls: 0.9213, decode.d6.loss_mask: 0.8174, decode.d6.loss_dice: 1.2465, decode.d7.loss_cls: 0.9209, decode.d7.loss_mask: 0.8143, decode.d7.loss_dice: 1.2461, decode.d8.loss_cls: 0.9097, decode.d8.loss_mask: 0.8117, decode.d8.loss_dice: 1.2489, loss: 32.3163 2022-04-29 10:26:11,938 - mmseg - INFO - Iter [27550/80000] lr: 9.414e-07, eta: 1 day, 2:50:47, time: 1.811, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8758, decode.loss_mask: 0.8092, decode.loss_dice: 1.2098, decode.d0.loss_cls: 2.8137, decode.d0.loss_mask: 0.7944, decode.d0.loss_dice: 1.4086, decode.d1.loss_cls: 0.9704, decode.d1.loss_mask: 0.8346, decode.d1.loss_dice: 1.3216, decode.d2.loss_cls: 0.9025, decode.d2.loss_mask: 0.8176, decode.d2.loss_dice: 1.2620, decode.d3.loss_cls: 0.8915, decode.d3.loss_mask: 0.8084, decode.d3.loss_dice: 1.2343, decode.d4.loss_cls: 0.8840, decode.d4.loss_mask: 0.8062, decode.d4.loss_dice: 1.2381, decode.d5.loss_cls: 0.8791, decode.d5.loss_mask: 0.8067, decode.d5.loss_dice: 1.2348, decode.d6.loss_cls: 0.8708, decode.d6.loss_mask: 0.8063, decode.d6.loss_dice: 1.2240, decode.d7.loss_cls: 0.8702, decode.d7.loss_mask: 0.8098, decode.d7.loss_dice: 1.2257, decode.d8.loss_cls: 0.8709, decode.d8.loss_mask: 0.8084, decode.d8.loss_dice: 1.2288, loss: 31.5183 2022-04-29 10:27:41,754 - mmseg - INFO - Iter [27600/80000] lr: 9.405e-07, eta: 1 day, 2:49:11, time: 1.796, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8950, decode.loss_mask: 0.8086, decode.loss_dice: 1.2636, decode.d0.loss_cls: 2.8949, decode.d0.loss_mask: 0.7854, decode.d0.loss_dice: 1.4451, decode.d1.loss_cls: 1.0049, decode.d1.loss_mask: 0.8204, decode.d1.loss_dice: 1.3465, decode.d2.loss_cls: 0.9344, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.2989, decode.d3.loss_cls: 0.9178, decode.d3.loss_mask: 0.8092, decode.d3.loss_dice: 1.2764, decode.d4.loss_cls: 0.9129, decode.d4.loss_mask: 0.8060, decode.d4.loss_dice: 1.2665, decode.d5.loss_cls: 0.9068, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.2677, decode.d6.loss_cls: 0.8989, decode.d6.loss_mask: 0.7998, decode.d6.loss_dice: 1.2603, decode.d7.loss_cls: 0.8982, decode.d7.loss_mask: 0.8008, decode.d7.loss_dice: 1.2588, decode.d8.loss_cls: 0.8991, decode.d8.loss_mask: 0.8025, decode.d8.loss_dice: 1.2615, loss: 32.1533 2022-04-29 10:29:10,878 - mmseg - INFO - Iter [27650/80000] lr: 9.396e-07, eta: 1 day, 2:47:33, time: 1.783, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8837, decode.loss_mask: 0.8110, decode.loss_dice: 1.2479, decode.d0.loss_cls: 2.8822, decode.d0.loss_mask: 0.7994, decode.d0.loss_dice: 1.4444, decode.d1.loss_cls: 0.9576, decode.d1.loss_mask: 0.8457, decode.d1.loss_dice: 1.3467, decode.d2.loss_cls: 0.9200, decode.d2.loss_mask: 0.8331, decode.d2.loss_dice: 1.2897, decode.d3.loss_cls: 0.8929, decode.d3.loss_mask: 0.8235, decode.d3.loss_dice: 1.2577, decode.d4.loss_cls: 0.8865, decode.d4.loss_mask: 0.8230, decode.d4.loss_dice: 1.2645, decode.d5.loss_cls: 0.8884, decode.d5.loss_mask: 0.8233, decode.d5.loss_dice: 1.2599, decode.d6.loss_cls: 0.8889, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.2414, decode.d7.loss_cls: 0.8856, decode.d7.loss_mask: 0.8179, decode.d7.loss_dice: 1.2433, decode.d8.loss_cls: 0.8766, decode.d8.loss_mask: 0.8144, decode.d8.loss_dice: 1.2465, loss: 32.0092 2022-04-29 10:30:41,040 - mmseg - INFO - Iter [27700/80000] lr: 9.387e-07, eta: 1 day, 2:45:57, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8577, decode.loss_mask: 0.8157, decode.loss_dice: 1.2215, decode.d0.loss_cls: 2.7896, decode.d0.loss_mask: 0.7909, decode.d0.loss_dice: 1.4151, decode.d1.loss_cls: 0.9495, decode.d1.loss_mask: 0.8272, decode.d1.loss_dice: 1.3067, decode.d2.loss_cls: 0.8943, decode.d2.loss_mask: 0.8131, decode.d2.loss_dice: 1.2553, decode.d3.loss_cls: 0.8745, decode.d3.loss_mask: 0.8075, decode.d3.loss_dice: 1.2297, decode.d4.loss_cls: 0.8788, decode.d4.loss_mask: 0.8038, decode.d4.loss_dice: 1.2284, decode.d5.loss_cls: 0.8648, decode.d5.loss_mask: 0.8094, decode.d5.loss_dice: 1.2288, decode.d6.loss_cls: 0.8589, decode.d6.loss_mask: 0.8053, decode.d6.loss_dice: 1.2137, decode.d7.loss_cls: 0.8566, decode.d7.loss_mask: 0.8085, decode.d7.loss_dice: 1.2169, decode.d8.loss_cls: 0.8626, decode.d8.loss_mask: 0.8063, decode.d8.loss_dice: 1.2226, loss: 31.3138 2022-04-29 10:32:10,309 - mmseg - INFO - Iter [27750/80000] lr: 9.378e-07, eta: 1 day, 2:44:19, time: 1.787, data_time: 0.020, memory: 64979, decode.loss_cls: 0.9116, decode.loss_mask: 0.8010, decode.loss_dice: 1.2591, decode.d0.loss_cls: 2.8702, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.4572, decode.d1.loss_cls: 1.0009, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.3525, decode.d2.loss_cls: 0.9458, decode.d2.loss_mask: 0.8107, decode.d2.loss_dice: 1.3013, decode.d3.loss_cls: 0.9348, decode.d3.loss_mask: 0.8054, decode.d3.loss_dice: 1.2796, decode.d4.loss_cls: 0.9203, decode.d4.loss_mask: 0.8081, decode.d4.loss_dice: 1.2789, decode.d5.loss_cls: 0.9273, decode.d5.loss_mask: 0.7964, decode.d5.loss_dice: 1.2694, decode.d6.loss_cls: 0.9167, decode.d6.loss_mask: 0.7934, decode.d6.loss_dice: 1.2591, decode.d7.loss_cls: 0.9178, decode.d7.loss_mask: 0.7975, decode.d7.loss_dice: 1.2630, decode.d8.loss_cls: 0.9152, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2641, loss: 32.2750 2022-04-29 10:33:39,173 - mmseg - INFO - Iter [27800/80000] lr: 9.369e-07, eta: 1 day, 2:42:41, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8789, decode.loss_mask: 0.7968, decode.loss_dice: 1.2729, decode.d0.loss_cls: 2.8280, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.4626, decode.d1.loss_cls: 0.9747, decode.d1.loss_mask: 0.8257, decode.d1.loss_dice: 1.3574, decode.d2.loss_cls: 0.9105, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.3042, decode.d3.loss_cls: 0.8947, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.2915, decode.d4.loss_cls: 0.8848, decode.d4.loss_mask: 0.8035, decode.d4.loss_dice: 1.2925, decode.d5.loss_cls: 0.8855, decode.d5.loss_mask: 0.8031, decode.d5.loss_dice: 1.2845, decode.d6.loss_cls: 0.8839, decode.d6.loss_mask: 0.8004, decode.d6.loss_dice: 1.2737, decode.d7.loss_cls: 0.8836, decode.d7.loss_mask: 0.8018, decode.d7.loss_dice: 1.2752, decode.d8.loss_cls: 0.8752, decode.d8.loss_mask: 0.8009, decode.d8.loss_dice: 1.2695, loss: 32.0150 2022-04-29 10:35:08,645 - mmseg - INFO - Iter [27850/80000] lr: 9.360e-07, eta: 1 day, 2:41:04, time: 1.789, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8487, decode.loss_mask: 0.7843, decode.loss_dice: 1.2406, decode.d0.loss_cls: 2.8262, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.4170, decode.d1.loss_cls: 0.9369, decode.d1.loss_mask: 0.8046, decode.d1.loss_dice: 1.3240, decode.d2.loss_cls: 0.8834, decode.d2.loss_mask: 0.8003, decode.d2.loss_dice: 1.2707, decode.d3.loss_cls: 0.8628, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.2475, decode.d4.loss_cls: 0.8576, decode.d4.loss_mask: 0.7920, decode.d4.loss_dice: 1.2547, decode.d5.loss_cls: 0.8555, decode.d5.loss_mask: 0.7875, decode.d5.loss_dice: 1.2375, decode.d6.loss_cls: 0.8497, decode.d6.loss_mask: 0.7846, decode.d6.loss_dice: 1.2310, decode.d7.loss_cls: 0.8481, decode.d7.loss_mask: 0.7834, decode.d7.loss_dice: 1.2283, decode.d8.loss_cls: 0.8456, decode.d8.loss_mask: 0.7863, decode.d8.loss_dice: 1.2344, loss: 31.1928 2022-04-29 10:36:38,156 - mmseg - INFO - Iter [27900/80000] lr: 9.351e-07, eta: 1 day, 2:39:27, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8534, decode.loss_mask: 0.8084, decode.loss_dice: 1.1856, decode.d0.loss_cls: 2.8098, decode.d0.loss_mask: 0.7932, decode.d0.loss_dice: 1.3741, decode.d1.loss_cls: 0.9172, decode.d1.loss_mask: 0.8363, decode.d1.loss_dice: 1.2756, decode.d2.loss_cls: 0.8665, decode.d2.loss_mask: 0.8215, decode.d2.loss_dice: 1.2241, decode.d3.loss_cls: 0.8621, decode.d3.loss_mask: 0.8057, decode.d3.loss_dice: 1.1947, decode.d4.loss_cls: 0.8518, decode.d4.loss_mask: 0.8125, decode.d4.loss_dice: 1.2035, decode.d5.loss_cls: 0.8454, decode.d5.loss_mask: 0.8145, decode.d5.loss_dice: 1.1974, decode.d6.loss_cls: 0.8454, decode.d6.loss_mask: 0.8083, decode.d6.loss_dice: 1.1843, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.1818, decode.d8.loss_cls: 0.8438, decode.d8.loss_mask: 0.8100, decode.d8.loss_dice: 1.1845, loss: 30.8662 2022-04-29 10:38:07,854 - mmseg - INFO - Iter [27950/80000] lr: 9.342e-07, eta: 1 day, 2:37:51, time: 1.794, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9085, decode.loss_mask: 0.8117, decode.loss_dice: 1.2437, decode.d0.loss_cls: 2.8597, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.4575, decode.d1.loss_cls: 0.9794, decode.d1.loss_mask: 0.8326, decode.d1.loss_dice: 1.3494, decode.d2.loss_cls: 0.9203, decode.d2.loss_mask: 0.8194, decode.d2.loss_dice: 1.2926, decode.d3.loss_cls: 0.9139, decode.d3.loss_mask: 0.8186, decode.d3.loss_dice: 1.2610, decode.d4.loss_cls: 0.9110, decode.d4.loss_mask: 0.8164, decode.d4.loss_dice: 1.2629, decode.d5.loss_cls: 0.9103, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.9093, decode.d6.loss_mask: 0.8121, decode.d6.loss_dice: 1.2386, decode.d7.loss_cls: 0.8980, decode.d7.loss_mask: 0.8123, decode.d7.loss_dice: 1.2388, decode.d8.loss_cls: 0.9002, decode.d8.loss_mask: 0.8123, decode.d8.loss_dice: 1.2501, loss: 32.1186 2022-04-29 10:39:36,826 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-04-29 10:39:58,111 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 10:39:58,114 - mmseg - INFO - Iter [28000/80000] lr: 9.333e-07, eta: 1 day, 2:36:52, time: 2.202, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8972, decode.loss_mask: 0.8034, decode.loss_dice: 1.2447, decode.d0.loss_cls: 2.8604, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.4337, decode.d1.loss_cls: 0.9895, decode.d1.loss_mask: 0.8276, decode.d1.loss_dice: 1.3327, decode.d2.loss_cls: 0.9213, decode.d2.loss_mask: 0.8171, decode.d2.loss_dice: 1.2876, decode.d3.loss_cls: 0.9084, decode.d3.loss_mask: 0.8049, decode.d3.loss_dice: 1.2571, decode.d4.loss_cls: 0.9037, decode.d4.loss_mask: 0.8076, decode.d4.loss_dice: 1.2606, decode.d5.loss_cls: 0.8994, decode.d5.loss_mask: 0.8057, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.8904, decode.d6.loss_mask: 0.8100, decode.d6.loss_dice: 1.2434, decode.d7.loss_cls: 0.8895, decode.d7.loss_mask: 0.8112, decode.d7.loss_dice: 1.2466, decode.d8.loss_cls: 0.8852, decode.d8.loss_mask: 0.8110, decode.d8.loss_dice: 1.2516, loss: 31.9515 2022-04-29 10:41:28,354 - mmseg - INFO - Iter [28050/80000] lr: 9.324e-07, eta: 1 day, 2:35:17, time: 1.808, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8961, decode.loss_mask: 0.7998, decode.loss_dice: 1.2341, decode.d0.loss_cls: 2.8637, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.4463, decode.d1.loss_cls: 0.9803, decode.d1.loss_mask: 0.8265, decode.d1.loss_dice: 1.3393, decode.d2.loss_cls: 0.9117, decode.d2.loss_mask: 0.8141, decode.d2.loss_dice: 1.2849, decode.d3.loss_cls: 0.8995, decode.d3.loss_mask: 0.8075, decode.d3.loss_dice: 1.2551, decode.d4.loss_cls: 0.8917, decode.d4.loss_mask: 0.8052, decode.d4.loss_dice: 1.2623, decode.d5.loss_cls: 0.8979, decode.d5.loss_mask: 0.8007, decode.d5.loss_dice: 1.2535, decode.d6.loss_cls: 0.8853, decode.d6.loss_mask: 0.8007, decode.d6.loss_dice: 1.2462, decode.d7.loss_cls: 0.8865, decode.d7.loss_mask: 0.8053, decode.d7.loss_dice: 1.2488, decode.d8.loss_cls: 0.8863, decode.d8.loss_mask: 0.8020, decode.d8.loss_dice: 1.2546, loss: 31.8743 2022-04-29 10:42:57,865 - mmseg - INFO - Iter [28100/80000] lr: 9.315e-07, eta: 1 day, 2:33:40, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8893, decode.loss_mask: 0.8221, decode.loss_dice: 1.2526, decode.d0.loss_cls: 2.8112, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.4432, decode.d1.loss_cls: 0.9749, decode.d1.loss_mask: 0.8454, decode.d1.loss_dice: 1.3407, decode.d2.loss_cls: 0.9302, decode.d2.loss_mask: 0.8287, decode.d2.loss_dice: 1.2849, decode.d3.loss_cls: 0.9032, decode.d3.loss_mask: 0.8263, decode.d3.loss_dice: 1.2648, decode.d4.loss_cls: 0.8970, decode.d4.loss_mask: 0.8254, decode.d4.loss_dice: 1.2691, decode.d5.loss_cls: 0.8937, decode.d5.loss_mask: 0.8242, decode.d5.loss_dice: 1.2575, decode.d6.loss_cls: 0.8877, decode.d6.loss_mask: 0.8166, decode.d6.loss_dice: 1.2542, decode.d7.loss_cls: 0.8838, decode.d7.loss_mask: 0.8248, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 0.8794, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.2574, loss: 32.0746 2022-04-29 10:44:28,472 - mmseg - INFO - Iter [28150/80000] lr: 9.306e-07, eta: 1 day, 2:32:05, time: 1.812, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8750, decode.loss_mask: 0.7791, decode.loss_dice: 1.2408, decode.d0.loss_cls: 2.8584, decode.d0.loss_mask: 0.7673, decode.d0.loss_dice: 1.4237, decode.d1.loss_cls: 0.9788, decode.d1.loss_mask: 0.7974, decode.d1.loss_dice: 1.3172, decode.d2.loss_cls: 0.9170, decode.d2.loss_mask: 0.7792, decode.d2.loss_dice: 1.2663, decode.d3.loss_cls: 0.9006, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2496, decode.d4.loss_cls: 0.8895, decode.d4.loss_mask: 0.7769, decode.d4.loss_dice: 1.2508, decode.d5.loss_cls: 0.8876, decode.d5.loss_mask: 0.7761, decode.d5.loss_dice: 1.2413, decode.d6.loss_cls: 0.8836, decode.d6.loss_mask: 0.7720, decode.d6.loss_dice: 1.2308, decode.d7.loss_cls: 0.8843, decode.d7.loss_mask: 0.7754, decode.d7.loss_dice: 1.2338, decode.d8.loss_cls: 0.8772, decode.d8.loss_mask: 0.7766, decode.d8.loss_dice: 1.2339, loss: 31.4195 2022-04-29 10:45:58,001 - mmseg - INFO - Iter [28200/80000] lr: 9.297e-07, eta: 1 day, 2:30:28, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8929, decode.loss_mask: 0.8126, decode.loss_dice: 1.2662, decode.d0.loss_cls: 2.8459, decode.d0.loss_mask: 0.7951, decode.d0.loss_dice: 1.4509, decode.d1.loss_cls: 0.9827, decode.d1.loss_mask: 0.8353, decode.d1.loss_dice: 1.3478, decode.d2.loss_cls: 0.9214, decode.d2.loss_mask: 0.8270, decode.d2.loss_dice: 1.3019, decode.d3.loss_cls: 0.9093, decode.d3.loss_mask: 0.8151, decode.d3.loss_dice: 1.2823, decode.d4.loss_cls: 0.9014, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.2791, decode.d5.loss_cls: 0.9074, decode.d5.loss_mask: 0.8080, decode.d5.loss_dice: 1.2771, decode.d6.loss_cls: 0.8935, decode.d6.loss_mask: 0.8125, decode.d6.loss_dice: 1.2612, decode.d7.loss_cls: 0.8858, decode.d7.loss_mask: 0.8188, decode.d7.loss_dice: 1.2693, decode.d8.loss_cls: 0.8896, decode.d8.loss_mask: 0.8085, decode.d8.loss_dice: 1.2656, loss: 32.1799 2022-04-29 10:47:28,377 - mmseg - INFO - Iter [28250/80000] lr: 9.288e-07, eta: 1 day, 2:28:53, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9052, decode.loss_mask: 0.7878, decode.loss_dice: 1.2343, decode.d0.loss_cls: 2.8730, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.4374, decode.d1.loss_cls: 0.9917, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.3295, decode.d2.loss_cls: 0.9357, decode.d2.loss_mask: 0.8110, decode.d2.loss_dice: 1.2735, decode.d3.loss_cls: 0.9216, decode.d3.loss_mask: 0.7929, decode.d3.loss_dice: 1.2514, decode.d4.loss_cls: 0.9156, decode.d4.loss_mask: 0.7967, decode.d4.loss_dice: 1.2499, decode.d5.loss_cls: 0.9153, decode.d5.loss_mask: 0.7896, decode.d5.loss_dice: 1.2465, decode.d6.loss_cls: 0.9066, decode.d6.loss_mask: 0.7856, decode.d6.loss_dice: 1.2360, decode.d7.loss_cls: 0.9076, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.2345, decode.d8.loss_cls: 0.9083, decode.d8.loss_mask: 0.7880, decode.d8.loss_dice: 1.2339, loss: 31.8492 2022-04-29 10:48:57,135 - mmseg - INFO - Iter [28300/80000] lr: 9.279e-07, eta: 1 day, 2:27:14, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8678, decode.loss_mask: 0.7904, decode.loss_dice: 1.2416, decode.d0.loss_cls: 2.8042, decode.d0.loss_mask: 0.7789, decode.d0.loss_dice: 1.4286, decode.d1.loss_cls: 0.9534, decode.d1.loss_mask: 0.8181, decode.d1.loss_dice: 1.3326, decode.d2.loss_cls: 0.8962, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.2775, decode.d3.loss_cls: 0.8841, decode.d3.loss_mask: 0.7959, decode.d3.loss_dice: 1.2525, decode.d4.loss_cls: 0.8774, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2503, decode.d5.loss_cls: 0.8728, decode.d5.loss_mask: 0.7918, decode.d5.loss_dice: 1.2525, decode.d6.loss_cls: 0.8691, decode.d6.loss_mask: 0.7914, decode.d6.loss_dice: 1.2409, decode.d7.loss_cls: 0.8652, decode.d7.loss_mask: 0.7947, decode.d7.loss_dice: 1.2438, decode.d8.loss_cls: 0.8672, decode.d8.loss_mask: 0.7873, decode.d8.loss_dice: 1.2356, loss: 31.4614 2022-04-29 10:50:26,063 - mmseg - INFO - Iter [28350/80000] lr: 9.270e-07, eta: 1 day, 2:25:36, time: 1.777, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8939, decode.loss_mask: 0.7938, decode.loss_dice: 1.2432, decode.d0.loss_cls: 2.8624, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.4311, decode.d1.loss_cls: 0.9840, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.3396, decode.d2.loss_cls: 0.9196, decode.d2.loss_mask: 0.8006, decode.d2.loss_dice: 1.2814, decode.d3.loss_cls: 0.9027, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.2646, decode.d4.loss_cls: 0.9010, decode.d4.loss_mask: 0.7995, decode.d4.loss_dice: 1.2584, decode.d5.loss_cls: 0.8927, decode.d5.loss_mask: 0.7953, decode.d5.loss_dice: 1.2556, decode.d6.loss_cls: 0.8894, decode.d6.loss_mask: 0.7921, decode.d6.loss_dice: 1.2462, decode.d7.loss_cls: 0.8827, decode.d7.loss_mask: 0.7908, decode.d7.loss_dice: 1.2488, decode.d8.loss_cls: 0.8927, decode.d8.loss_mask: 0.7902, decode.d8.loss_dice: 1.2477, loss: 31.8034 2022-04-29 10:51:55,496 - mmseg - INFO - Iter [28400/80000] lr: 9.261e-07, eta: 1 day, 2:23:59, time: 1.789, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9036, decode.loss_mask: 0.7818, decode.loss_dice: 1.2290, decode.d0.loss_cls: 2.8382, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.4448, decode.d1.loss_cls: 0.9727, decode.d1.loss_mask: 0.8174, decode.d1.loss_dice: 1.3397, decode.d2.loss_cls: 0.9149, decode.d2.loss_mask: 0.7966, decode.d2.loss_dice: 1.2736, decode.d3.loss_cls: 0.8982, decode.d3.loss_mask: 0.7913, decode.d3.loss_dice: 1.2543, decode.d4.loss_cls: 0.8963, decode.d4.loss_mask: 0.7948, decode.d4.loss_dice: 1.2573, decode.d5.loss_cls: 0.8931, decode.d5.loss_mask: 0.7907, decode.d5.loss_dice: 1.2505, decode.d6.loss_cls: 0.8952, decode.d6.loss_mask: 0.7854, decode.d6.loss_dice: 1.2359, decode.d7.loss_cls: 0.8896, decode.d7.loss_mask: 0.7843, decode.d7.loss_dice: 1.2402, decode.d8.loss_cls: 0.8924, decode.d8.loss_mask: 0.7845, decode.d8.loss_dice: 1.2372, loss: 31.6687 2022-04-29 10:53:24,133 - mmseg - INFO - Iter [28450/80000] lr: 9.252e-07, eta: 1 day, 2:22:21, time: 1.774, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9078, decode.loss_mask: 0.8156, decode.loss_dice: 1.2287, decode.d0.loss_cls: 2.8487, decode.d0.loss_mask: 0.8122, decode.d0.loss_dice: 1.4103, decode.d1.loss_cls: 0.9800, decode.d1.loss_mask: 0.8496, decode.d1.loss_dice: 1.3209, decode.d2.loss_cls: 0.9166, decode.d2.loss_mask: 0.8285, decode.d2.loss_dice: 1.2688, decode.d3.loss_cls: 0.9084, decode.d3.loss_mask: 0.8193, decode.d3.loss_dice: 1.2347, decode.d4.loss_cls: 0.9044, decode.d4.loss_mask: 0.8220, decode.d4.loss_dice: 1.2352, decode.d5.loss_cls: 0.9063, decode.d5.loss_mask: 0.8187, decode.d5.loss_dice: 1.2345, decode.d6.loss_cls: 0.9036, decode.d6.loss_mask: 0.8188, decode.d6.loss_dice: 1.2176, decode.d7.loss_cls: 0.9023, decode.d7.loss_mask: 0.8135, decode.d7.loss_dice: 1.2184, decode.d8.loss_cls: 0.9039, decode.d8.loss_mask: 0.8164, decode.d8.loss_dice: 1.2273, loss: 31.8928 2022-04-29 10:54:53,029 - mmseg - INFO - Iter [28500/80000] lr: 9.243e-07, eta: 1 day, 2:20:43, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8924, decode.loss_mask: 0.8049, decode.loss_dice: 1.2495, decode.d0.loss_cls: 2.8306, decode.d0.loss_mask: 0.7899, decode.d0.loss_dice: 1.4348, decode.d1.loss_cls: 0.9761, decode.d1.loss_mask: 0.8251, decode.d1.loss_dice: 1.3242, decode.d2.loss_cls: 0.9189, decode.d2.loss_mask: 0.8146, decode.d2.loss_dice: 1.2811, decode.d3.loss_cls: 0.9096, decode.d3.loss_mask: 0.8081, decode.d3.loss_dice: 1.2511, decode.d4.loss_cls: 0.9005, decode.d4.loss_mask: 0.8089, decode.d4.loss_dice: 1.2485, decode.d5.loss_cls: 0.8970, decode.d5.loss_mask: 0.8066, decode.d5.loss_dice: 1.2474, decode.d6.loss_cls: 0.8846, decode.d6.loss_mask: 0.8042, decode.d6.loss_dice: 1.2445, decode.d7.loss_cls: 0.8872, decode.d7.loss_mask: 0.8078, decode.d7.loss_dice: 1.2417, decode.d8.loss_cls: 0.8856, decode.d8.loss_mask: 0.8066, decode.d8.loss_dice: 1.2451, loss: 31.8270 2022-04-29 10:56:22,432 - mmseg - INFO - Iter [28550/80000] lr: 9.234e-07, eta: 1 day, 2:19:06, time: 1.788, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9013, decode.loss_mask: 0.8038, decode.loss_dice: 1.2488, decode.d0.loss_cls: 2.8826, decode.d0.loss_mask: 0.8043, decode.d0.loss_dice: 1.4571, decode.d1.loss_cls: 0.9882, decode.d1.loss_mask: 0.8370, decode.d1.loss_dice: 1.3483, decode.d2.loss_cls: 0.9330, decode.d2.loss_mask: 0.8234, decode.d2.loss_dice: 1.2969, decode.d3.loss_cls: 0.9142, decode.d3.loss_mask: 0.8123, decode.d3.loss_dice: 1.2635, decode.d4.loss_cls: 0.9080, decode.d4.loss_mask: 0.8107, decode.d4.loss_dice: 1.2598, decode.d5.loss_cls: 0.9068, decode.d5.loss_mask: 0.8110, decode.d5.loss_dice: 1.2612, decode.d6.loss_cls: 0.9058, decode.d6.loss_mask: 0.8058, decode.d6.loss_dice: 1.2468, decode.d7.loss_cls: 0.9064, decode.d7.loss_mask: 0.7992, decode.d7.loss_dice: 1.2406, decode.d8.loss_cls: 0.8987, decode.d8.loss_mask: 0.7990, decode.d8.loss_dice: 1.2430, loss: 32.1174 2022-04-29 10:57:52,044 - mmseg - INFO - Iter [28600/80000] lr: 9.225e-07, eta: 1 day, 2:17:30, time: 1.792, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8536, decode.loss_mask: 0.8066, decode.loss_dice: 1.2434, decode.d0.loss_cls: 2.8332, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4359, decode.d1.loss_cls: 0.9463, decode.d1.loss_mask: 0.8348, decode.d1.loss_dice: 1.3479, decode.d2.loss_cls: 0.8934, decode.d2.loss_mask: 0.8200, decode.d2.loss_dice: 1.2911, decode.d3.loss_cls: 0.8809, decode.d3.loss_mask: 0.8087, decode.d3.loss_dice: 1.2584, decode.d4.loss_cls: 0.8711, decode.d4.loss_mask: 0.8067, decode.d4.loss_dice: 1.2556, decode.d5.loss_cls: 0.8640, decode.d5.loss_mask: 0.8105, decode.d5.loss_dice: 1.2580, decode.d6.loss_cls: 0.8591, decode.d6.loss_mask: 0.8035, decode.d6.loss_dice: 1.2466, decode.d7.loss_cls: 0.8562, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2447, decode.d8.loss_cls: 0.8488, decode.d8.loss_mask: 0.8067, decode.d8.loss_dice: 1.2506, loss: 31.6238 2022-04-29 10:59:20,301 - mmseg - INFO - Iter [28650/80000] lr: 9.216e-07, eta: 1 day, 2:15:51, time: 1.765, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9008, decode.loss_mask: 0.7895, decode.loss_dice: 1.2401, decode.d0.loss_cls: 2.8674, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.4405, decode.d1.loss_cls: 0.9782, decode.d1.loss_mask: 0.8154, decode.d1.loss_dice: 1.3319, decode.d2.loss_cls: 0.9212, decode.d2.loss_mask: 0.8023, decode.d2.loss_dice: 1.2789, decode.d3.loss_cls: 0.9095, decode.d3.loss_mask: 0.7950, decode.d3.loss_dice: 1.2538, decode.d4.loss_cls: 0.8984, decode.d4.loss_mask: 0.7981, decode.d4.loss_dice: 1.2552, decode.d5.loss_cls: 0.9074, decode.d5.loss_mask: 0.7954, decode.d5.loss_dice: 1.2554, decode.d6.loss_cls: 0.8934, decode.d6.loss_mask: 0.7957, decode.d6.loss_dice: 1.2374, decode.d7.loss_cls: 0.8948, decode.d7.loss_mask: 0.7910, decode.d7.loss_dice: 1.2460, decode.d8.loss_cls: 0.8937, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.2439, loss: 31.8042 2022-04-29 11:00:49,918 - mmseg - INFO - Iter [28700/80000] lr: 9.207e-07, eta: 1 day, 2:14:15, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9022, decode.loss_mask: 0.7998, decode.loss_dice: 1.2552, decode.d0.loss_cls: 2.8971, decode.d0.loss_mask: 0.7903, decode.d0.loss_dice: 1.4655, decode.d1.loss_cls: 0.9945, decode.d1.loss_mask: 0.8244, decode.d1.loss_dice: 1.3569, decode.d2.loss_cls: 0.9259, decode.d2.loss_mask: 0.8183, decode.d2.loss_dice: 1.2937, decode.d3.loss_cls: 0.9203, decode.d3.loss_mask: 0.8106, decode.d3.loss_dice: 1.2682, decode.d4.loss_cls: 0.9139, decode.d4.loss_mask: 0.8113, decode.d4.loss_dice: 1.2755, decode.d5.loss_cls: 0.9036, decode.d5.loss_mask: 0.8059, decode.d5.loss_dice: 1.2659, decode.d6.loss_cls: 0.9029, decode.d6.loss_mask: 0.7996, decode.d6.loss_dice: 1.2509, decode.d7.loss_cls: 0.9056, decode.d7.loss_mask: 0.8000, decode.d7.loss_dice: 1.2544, decode.d8.loss_cls: 0.8994, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.2567, loss: 32.1701 2022-04-29 11:02:19,337 - mmseg - INFO - Iter [28750/80000] lr: 9.198e-07, eta: 1 day, 2:12:38, time: 1.786, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8586, decode.loss_mask: 0.7987, decode.loss_dice: 1.2391, decode.d0.loss_cls: 2.7850, decode.d0.loss_mask: 0.7934, decode.d0.loss_dice: 1.4193, decode.d1.loss_cls: 0.9575, decode.d1.loss_mask: 0.8207, decode.d1.loss_dice: 1.3098, decode.d2.loss_cls: 0.8972, decode.d2.loss_mask: 0.8004, decode.d2.loss_dice: 1.2618, decode.d3.loss_cls: 0.8797, decode.d3.loss_mask: 0.7899, decode.d3.loss_dice: 1.2467, decode.d4.loss_cls: 0.8720, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2506, decode.d5.loss_cls: 0.8668, decode.d5.loss_mask: 0.7959, decode.d5.loss_dice: 1.2480, decode.d6.loss_cls: 0.8591, decode.d6.loss_mask: 0.7949, decode.d6.loss_dice: 1.2361, decode.d7.loss_cls: 0.8662, decode.d7.loss_mask: 0.7945, decode.d7.loss_dice: 1.2361, decode.d8.loss_cls: 0.8655, decode.d8.loss_mask: 0.7944, decode.d8.loss_dice: 1.2365, loss: 31.3681 2022-04-29 11:03:48,362 - mmseg - INFO - Iter [28800/80000] lr: 9.189e-07, eta: 1 day, 2:11:00, time: 1.782, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9102, decode.loss_mask: 0.7941, decode.loss_dice: 1.2742, decode.d0.loss_cls: 2.8576, decode.d0.loss_mask: 0.7898, decode.d0.loss_dice: 1.4667, decode.d1.loss_cls: 0.9880, decode.d1.loss_mask: 0.8269, decode.d1.loss_dice: 1.3562, decode.d2.loss_cls: 0.9381, decode.d2.loss_mask: 0.8058, decode.d2.loss_dice: 1.3110, decode.d3.loss_cls: 0.9195, decode.d3.loss_mask: 0.8010, decode.d3.loss_dice: 1.2843, decode.d4.loss_cls: 0.9153, decode.d4.loss_mask: 0.7996, decode.d4.loss_dice: 1.2835, decode.d5.loss_cls: 0.9119, decode.d5.loss_mask: 0.7988, decode.d5.loss_dice: 1.2847, decode.d6.loss_cls: 0.9088, decode.d6.loss_mask: 0.7907, decode.d6.loss_dice: 1.2713, decode.d7.loss_cls: 0.9015, decode.d7.loss_mask: 0.7925, decode.d7.loss_dice: 1.2738, decode.d8.loss_cls: 0.9037, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2782, loss: 32.2336 2022-04-29 11:05:17,549 - mmseg - INFO - Iter [28850/80000] lr: 9.180e-07, eta: 1 day, 2:09:23, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8345, decode.loss_mask: 0.8142, decode.loss_dice: 1.1977, decode.d0.loss_cls: 2.7210, decode.d0.loss_mask: 0.8082, decode.d0.loss_dice: 1.3809, decode.d1.loss_cls: 0.9060, decode.d1.loss_mask: 0.8406, decode.d1.loss_dice: 1.2820, decode.d2.loss_cls: 0.8527, decode.d2.loss_mask: 0.8236, decode.d2.loss_dice: 1.2355, decode.d3.loss_cls: 0.8328, decode.d3.loss_mask: 0.8234, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8380, decode.d4.loss_mask: 0.8188, decode.d4.loss_dice: 1.2163, decode.d5.loss_cls: 0.8317, decode.d5.loss_mask: 0.8164, decode.d5.loss_dice: 1.2062, decode.d6.loss_cls: 0.8383, decode.d6.loss_mask: 0.8128, decode.d6.loss_dice: 1.2047, decode.d7.loss_cls: 0.8304, decode.d7.loss_mask: 0.8168, decode.d7.loss_dice: 1.2122, decode.d8.loss_cls: 0.8269, decode.d8.loss_mask: 0.8115, decode.d8.loss_dice: 1.2049, loss: 30.8641 2022-04-29 11:06:46,520 - mmseg - INFO - Iter [28900/80000] lr: 9.171e-07, eta: 1 day, 2:07:46, time: 1.781, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8972, decode.loss_mask: 0.7824, decode.loss_dice: 1.2396, decode.d0.loss_cls: 2.8398, decode.d0.loss_mask: 0.7779, decode.d0.loss_dice: 1.4351, decode.d1.loss_cls: 0.9789, decode.d1.loss_mask: 0.8132, decode.d1.loss_dice: 1.3265, decode.d2.loss_cls: 0.9196, decode.d2.loss_mask: 0.7976, decode.d2.loss_dice: 1.2781, decode.d3.loss_cls: 0.9037, decode.d3.loss_mask: 0.7888, decode.d3.loss_dice: 1.2502, decode.d4.loss_cls: 0.9038, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.2520, decode.d5.loss_cls: 0.9008, decode.d5.loss_mask: 0.7875, decode.d5.loss_dice: 1.2507, decode.d6.loss_cls: 0.8945, decode.d6.loss_mask: 0.7846, decode.d6.loss_dice: 1.2382, decode.d7.loss_cls: 0.8986, decode.d7.loss_mask: 0.7853, decode.d7.loss_dice: 1.2441, decode.d8.loss_cls: 0.8949, decode.d8.loss_mask: 0.7840, decode.d8.loss_dice: 1.2452, loss: 31.6798 2022-04-29 11:08:15,921 - mmseg - INFO - Iter [28950/80000] lr: 9.162e-07, eta: 1 day, 2:06:09, time: 1.788, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8783, decode.loss_mask: 0.8113, decode.loss_dice: 1.2460, decode.d0.loss_cls: 2.7804, decode.d0.loss_mask: 0.8106, decode.d0.loss_dice: 1.4286, decode.d1.loss_cls: 0.9530, decode.d1.loss_mask: 0.8443, decode.d1.loss_dice: 1.3328, decode.d2.loss_cls: 0.8993, decode.d2.loss_mask: 0.8319, decode.d2.loss_dice: 1.2857, decode.d3.loss_cls: 0.8917, decode.d3.loss_mask: 0.8243, decode.d3.loss_dice: 1.2579, decode.d4.loss_cls: 0.8890, decode.d4.loss_mask: 0.8199, decode.d4.loss_dice: 1.2521, decode.d5.loss_cls: 0.8861, decode.d5.loss_mask: 0.8175, decode.d5.loss_dice: 1.2503, decode.d6.loss_cls: 0.8771, decode.d6.loss_mask: 0.8157, decode.d6.loss_dice: 1.2443, decode.d7.loss_cls: 0.8819, decode.d7.loss_mask: 0.8150, decode.d7.loss_dice: 1.2443, decode.d8.loss_cls: 0.8767, decode.d8.loss_mask: 0.8200, decode.d8.loss_dice: 1.2437, loss: 31.8098 2022-04-29 11:09:45,999 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-04-29 11:10:15,932 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 11:10:15,938 - mmseg - INFO - Iter [29000/80000] lr: 9.153e-07, eta: 1 day, 2:05:26, time: 2.399, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8745, decode.loss_mask: 0.8330, decode.loss_dice: 1.2363, decode.d0.loss_cls: 2.8252, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.4149, decode.d1.loss_cls: 0.9612, decode.d1.loss_mask: 0.8518, decode.d1.loss_dice: 1.3272, decode.d2.loss_cls: 0.9048, decode.d2.loss_mask: 0.8349, decode.d2.loss_dice: 1.2775, decode.d3.loss_cls: 0.8879, decode.d3.loss_mask: 0.8348, decode.d3.loss_dice: 1.2520, decode.d4.loss_cls: 0.8800, decode.d4.loss_mask: 0.8378, decode.d4.loss_dice: 1.2586, decode.d5.loss_cls: 0.8794, decode.d5.loss_mask: 0.8259, decode.d5.loss_dice: 1.2450, decode.d6.loss_cls: 0.8776, decode.d6.loss_mask: 0.8295, decode.d6.loss_dice: 1.2362, decode.d7.loss_cls: 0.8783, decode.d7.loss_mask: 0.8313, decode.d7.loss_dice: 1.2407, decode.d8.loss_cls: 0.8743, decode.d8.loss_mask: 0.8253, decode.d8.loss_dice: 1.2389, loss: 31.8934 2022-04-29 11:11:46,041 - mmseg - INFO - Iter [29050/80000] lr: 9.144e-07, eta: 1 day, 2:03:51, time: 1.804, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9102, decode.loss_mask: 0.7870, decode.loss_dice: 1.2749, decode.d0.loss_cls: 2.9205, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.4630, decode.d1.loss_cls: 1.0186, decode.d1.loss_mask: 0.8103, decode.d1.loss_dice: 1.3638, decode.d2.loss_cls: 0.9506, decode.d2.loss_mask: 0.8035, decode.d2.loss_dice: 1.3137, decode.d3.loss_cls: 0.9282, decode.d3.loss_mask: 0.7938, decode.d3.loss_dice: 1.2903, decode.d4.loss_cls: 0.9182, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2886, decode.d5.loss_cls: 0.9260, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.2806, decode.d6.loss_cls: 0.9139, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2734, decode.d7.loss_cls: 0.9161, decode.d7.loss_mask: 0.7851, decode.d7.loss_dice: 1.2659, decode.d8.loss_cls: 0.9116, decode.d8.loss_mask: 0.7809, decode.d8.loss_dice: 1.2742, loss: 32.3036 2022-04-29 11:13:14,191 - mmseg - INFO - Iter [29100/80000] lr: 9.135e-07, eta: 1 day, 2:02:12, time: 1.763, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8892, decode.loss_mask: 0.8106, decode.loss_dice: 1.2573, decode.d0.loss_cls: 2.8363, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.4537, decode.d1.loss_cls: 0.9644, decode.d1.loss_mask: 0.8424, decode.d1.loss_dice: 1.3398, decode.d2.loss_cls: 0.9096, decode.d2.loss_mask: 0.8303, decode.d2.loss_dice: 1.2956, decode.d3.loss_cls: 0.9023, decode.d3.loss_mask: 0.8147, decode.d3.loss_dice: 1.2661, decode.d4.loss_cls: 0.8920, decode.d4.loss_mask: 0.8180, decode.d4.loss_dice: 1.2717, decode.d5.loss_cls: 0.8966, decode.d5.loss_mask: 0.8142, decode.d5.loss_dice: 1.2600, decode.d6.loss_cls: 0.8932, decode.d6.loss_mask: 0.8090, decode.d6.loss_dice: 1.2533, decode.d7.loss_cls: 0.8887, decode.d7.loss_mask: 0.8092, decode.d7.loss_dice: 1.2545, decode.d8.loss_cls: 0.8840, decode.d8.loss_mask: 0.8148, decode.d8.loss_dice: 1.2544, loss: 32.0382 2022-04-29 11:14:42,968 - mmseg - INFO - Iter [29150/80000] lr: 9.126e-07, eta: 1 day, 2:00:34, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8892, decode.loss_mask: 0.7832, decode.loss_dice: 1.2599, decode.d0.loss_cls: 2.8456, decode.d0.loss_mask: 0.7724, decode.d0.loss_dice: 1.4596, decode.d1.loss_cls: 0.9675, decode.d1.loss_mask: 0.8110, decode.d1.loss_dice: 1.3659, decode.d2.loss_cls: 0.9252, decode.d2.loss_mask: 0.7948, decode.d2.loss_dice: 1.3013, decode.d3.loss_cls: 0.9039, decode.d3.loss_mask: 0.7901, decode.d3.loss_dice: 1.2777, decode.d4.loss_cls: 0.9059, decode.d4.loss_mask: 0.7839, decode.d4.loss_dice: 1.2746, decode.d5.loss_cls: 0.8892, decode.d5.loss_mask: 0.7861, decode.d5.loss_dice: 1.2692, decode.d6.loss_cls: 0.8914, decode.d6.loss_mask: 0.7823, decode.d6.loss_dice: 1.2614, decode.d7.loss_cls: 0.8930, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.2620, decode.d8.loss_cls: 0.8832, decode.d8.loss_mask: 0.7876, decode.d8.loss_dice: 1.2560, loss: 31.8566 2022-04-29 11:16:12,745 - mmseg - INFO - Iter [29200/80000] lr: 9.117e-07, eta: 1 day, 1:58:58, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8567, decode.loss_mask: 0.8080, decode.loss_dice: 1.2419, decode.d0.loss_cls: 2.8273, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.4304, decode.d1.loss_cls: 0.9421, decode.d1.loss_mask: 0.8367, decode.d1.loss_dice: 1.3235, decode.d2.loss_cls: 0.8631, decode.d2.loss_mask: 0.8232, decode.d2.loss_dice: 1.2884, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.8133, decode.d3.loss_dice: 1.2583, decode.d4.loss_cls: 0.8581, decode.d4.loss_mask: 0.8076, decode.d4.loss_dice: 1.2529, decode.d5.loss_cls: 0.8536, decode.d5.loss_mask: 0.8101, decode.d5.loss_dice: 1.2509, decode.d6.loss_cls: 0.8450, decode.d6.loss_mask: 0.8096, decode.d6.loss_dice: 1.2323, decode.d7.loss_cls: 0.8515, decode.d7.loss_mask: 0.8050, decode.d7.loss_dice: 1.2379, decode.d8.loss_cls: 0.8511, decode.d8.loss_mask: 0.8066, decode.d8.loss_dice: 1.2311, loss: 31.4698 2022-04-29 11:17:41,120 - mmseg - INFO - Iter [29250/80000] lr: 9.109e-07, eta: 1 day, 1:57:19, time: 1.767, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8726, decode.loss_mask: 0.8227, decode.loss_dice: 1.2550, decode.d0.loss_cls: 2.8411, decode.d0.loss_mask: 0.8150, decode.d0.loss_dice: 1.4415, decode.d1.loss_cls: 0.9575, decode.d1.loss_mask: 0.8578, decode.d1.loss_dice: 1.3584, decode.d2.loss_cls: 0.8936, decode.d2.loss_mask: 0.8413, decode.d2.loss_dice: 1.2996, decode.d3.loss_cls: 0.8863, decode.d3.loss_mask: 0.8334, decode.d3.loss_dice: 1.2673, decode.d4.loss_cls: 0.8844, decode.d4.loss_mask: 0.8374, decode.d4.loss_dice: 1.2684, decode.d5.loss_cls: 0.8820, decode.d5.loss_mask: 0.8340, decode.d5.loss_dice: 1.2582, decode.d6.loss_cls: 0.8743, decode.d6.loss_mask: 0.8281, decode.d6.loss_dice: 1.2462, decode.d7.loss_cls: 0.8751, decode.d7.loss_mask: 0.8284, decode.d7.loss_dice: 1.2533, decode.d8.loss_cls: 0.8692, decode.d8.loss_mask: 0.8278, decode.d8.loss_dice: 1.2497, loss: 32.0596 2022-04-29 11:19:09,956 - mmseg - INFO - Iter [29300/80000] lr: 9.100e-07, eta: 1 day, 1:55:42, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8729, decode.loss_mask: 0.7992, decode.loss_dice: 1.2182, decode.d0.loss_cls: 2.7932, decode.d0.loss_mask: 0.7966, decode.d0.loss_dice: 1.3951, decode.d1.loss_cls: 0.9565, decode.d1.loss_mask: 0.8233, decode.d1.loss_dice: 1.2963, decode.d2.loss_cls: 0.8906, decode.d2.loss_mask: 0.8142, decode.d2.loss_dice: 1.2528, decode.d3.loss_cls: 0.8737, decode.d3.loss_mask: 0.7980, decode.d3.loss_dice: 1.2290, decode.d4.loss_cls: 0.8681, decode.d4.loss_mask: 0.8032, decode.d4.loss_dice: 1.2255, decode.d5.loss_cls: 0.8685, decode.d5.loss_mask: 0.8021, decode.d5.loss_dice: 1.2202, decode.d6.loss_cls: 0.8669, decode.d6.loss_mask: 0.7962, decode.d6.loss_dice: 1.2160, decode.d7.loss_cls: 0.8680, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.2168, decode.d8.loss_cls: 0.8658, decode.d8.loss_mask: 0.7960, decode.d8.loss_dice: 1.2188, loss: 31.2451 2022-04-29 11:20:39,652 - mmseg - INFO - Iter [29350/80000] lr: 9.091e-07, eta: 1 day, 1:54:05, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8687, decode.loss_mask: 0.7985, decode.loss_dice: 1.2276, decode.d0.loss_cls: 2.7582, decode.d0.loss_mask: 0.7903, decode.d0.loss_dice: 1.4304, decode.d1.loss_cls: 0.9530, decode.d1.loss_mask: 0.8301, decode.d1.loss_dice: 1.3230, decode.d2.loss_cls: 0.8894, decode.d2.loss_mask: 0.8114, decode.d2.loss_dice: 1.2763, decode.d3.loss_cls: 0.8748, decode.d3.loss_mask: 0.8073, decode.d3.loss_dice: 1.2546, decode.d4.loss_cls: 0.8738, decode.d4.loss_mask: 0.8003, decode.d4.loss_dice: 1.2447, decode.d5.loss_cls: 0.8809, decode.d5.loss_mask: 0.7968, decode.d5.loss_dice: 1.2431, decode.d6.loss_cls: 0.8696, decode.d6.loss_mask: 0.7960, decode.d6.loss_dice: 1.2304, decode.d7.loss_cls: 0.8665, decode.d7.loss_mask: 0.7986, decode.d7.loss_dice: 1.2310, decode.d8.loss_cls: 0.8671, decode.d8.loss_mask: 0.7993, decode.d8.loss_dice: 1.2340, loss: 31.4256 2022-04-29 11:22:08,819 - mmseg - INFO - Iter [29400/80000] lr: 9.082e-07, eta: 1 day, 1:52:28, time: 1.784, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8814, decode.loss_mask: 0.8108, decode.loss_dice: 1.2462, decode.d0.loss_cls: 2.8060, decode.d0.loss_mask: 0.8101, decode.d0.loss_dice: 1.4417, decode.d1.loss_cls: 0.9661, decode.d1.loss_mask: 0.8537, decode.d1.loss_dice: 1.3382, decode.d2.loss_cls: 0.9070, decode.d2.loss_mask: 0.8312, decode.d2.loss_dice: 1.2933, decode.d3.loss_cls: 0.8902, decode.d3.loss_mask: 0.8221, decode.d3.loss_dice: 1.2688, decode.d4.loss_cls: 0.8861, decode.d4.loss_mask: 0.8205, decode.d4.loss_dice: 1.2697, decode.d5.loss_cls: 0.8871, decode.d5.loss_mask: 0.8234, decode.d5.loss_dice: 1.2608, decode.d6.loss_cls: 0.8824, decode.d6.loss_mask: 0.8157, decode.d6.loss_dice: 1.2478, decode.d7.loss_cls: 0.8801, decode.d7.loss_mask: 0.8162, decode.d7.loss_dice: 1.2487, decode.d8.loss_cls: 0.8734, decode.d8.loss_mask: 0.8149, decode.d8.loss_dice: 1.2515, loss: 31.9452 2022-04-29 11:23:38,371 - mmseg - INFO - Iter [29450/80000] lr: 9.073e-07, eta: 1 day, 1:50:52, time: 1.793, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9039, decode.loss_mask: 0.8356, decode.loss_dice: 1.2726, decode.d0.loss_cls: 2.9159, decode.d0.loss_mask: 0.8221, decode.d0.loss_dice: 1.4667, decode.d1.loss_cls: 1.0015, decode.d1.loss_mask: 0.8529, decode.d1.loss_dice: 1.3623, decode.d2.loss_cls: 0.9337, decode.d2.loss_mask: 0.8456, decode.d2.loss_dice: 1.3060, decode.d3.loss_cls: 0.9200, decode.d3.loss_mask: 0.8435, decode.d3.loss_dice: 1.2853, decode.d4.loss_cls: 0.9214, decode.d4.loss_mask: 0.8375, decode.d4.loss_dice: 1.2837, decode.d5.loss_cls: 0.9153, decode.d5.loss_mask: 0.8378, decode.d5.loss_dice: 1.2773, decode.d6.loss_cls: 0.9008, decode.d6.loss_mask: 0.8369, decode.d6.loss_dice: 1.2728, decode.d7.loss_cls: 0.9092, decode.d7.loss_mask: 0.8379, decode.d7.loss_dice: 1.2759, decode.d8.loss_cls: 0.9038, decode.d8.loss_mask: 0.8344, decode.d8.loss_dice: 1.2721, loss: 32.6847 2022-04-29 11:25:06,883 - mmseg - INFO - Iter [29500/80000] lr: 9.064e-07, eta: 1 day, 1:49:14, time: 1.769, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8960, decode.loss_mask: 0.7845, decode.loss_dice: 1.2353, decode.d0.loss_cls: 2.8265, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.4312, decode.d1.loss_cls: 0.9753, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.3336, decode.d2.loss_cls: 0.9248, decode.d2.loss_mask: 0.7955, decode.d2.loss_dice: 1.2765, decode.d3.loss_cls: 0.9075, decode.d3.loss_mask: 0.7908, decode.d3.loss_dice: 1.2441, decode.d4.loss_cls: 0.9024, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2378, decode.d5.loss_cls: 0.9058, decode.d5.loss_mask: 0.7859, decode.d5.loss_dice: 1.2413, decode.d6.loss_cls: 0.8935, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2316, decode.d7.loss_cls: 0.8925, decode.d7.loss_mask: 0.7806, decode.d7.loss_dice: 1.2285, decode.d8.loss_cls: 0.8934, decode.d8.loss_mask: 0.7808, decode.d8.loss_dice: 1.2335, loss: 31.5916 2022-04-29 11:26:35,284 - mmseg - INFO - Iter [29550/80000] lr: 9.055e-07, eta: 1 day, 1:47:36, time: 1.769, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8982, decode.loss_mask: 0.8084, decode.loss_dice: 1.2649, decode.d0.loss_cls: 2.7966, decode.d0.loss_mask: 0.8032, decode.d0.loss_dice: 1.4535, decode.d1.loss_cls: 0.9781, decode.d1.loss_mask: 0.8394, decode.d1.loss_dice: 1.3576, decode.d2.loss_cls: 0.9252, decode.d2.loss_mask: 0.8265, decode.d2.loss_dice: 1.2969, decode.d3.loss_cls: 0.9040, decode.d3.loss_mask: 0.8214, decode.d3.loss_dice: 1.2842, decode.d4.loss_cls: 0.8983, decode.d4.loss_mask: 0.8192, decode.d4.loss_dice: 1.2795, decode.d5.loss_cls: 0.9012, decode.d5.loss_mask: 0.8150, decode.d5.loss_dice: 1.2725, decode.d6.loss_cls: 0.8936, decode.d6.loss_mask: 0.8169, decode.d6.loss_dice: 1.2658, decode.d7.loss_cls: 0.8950, decode.d7.loss_mask: 0.8152, decode.d7.loss_dice: 1.2739, decode.d8.loss_cls: 0.8911, decode.d8.loss_mask: 0.8111, decode.d8.loss_dice: 1.2709, loss: 32.1776 2022-04-29 11:28:07,519 - mmseg - INFO - Iter [29600/80000] lr: 9.046e-07, eta: 1 day, 1:46:04, time: 1.845, data_time: 0.061, memory: 64979, decode.loss_cls: 0.8707, decode.loss_mask: 0.7935, decode.loss_dice: 1.2481, decode.d0.loss_cls: 2.8339, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.4367, decode.d1.loss_cls: 0.9733, decode.d1.loss_mask: 0.8176, decode.d1.loss_dice: 1.3450, decode.d2.loss_cls: 0.9071, decode.d2.loss_mask: 0.8068, decode.d2.loss_dice: 1.2973, decode.d3.loss_cls: 0.8902, decode.d3.loss_mask: 0.8022, decode.d3.loss_dice: 1.2592, decode.d4.loss_cls: 0.8849, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.2611, decode.d5.loss_cls: 0.8783, decode.d5.loss_mask: 0.7953, decode.d5.loss_dice: 1.2564, decode.d6.loss_cls: 0.8759, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2429, decode.d7.loss_cls: 0.8792, decode.d7.loss_mask: 0.7892, decode.d7.loss_dice: 1.2481, decode.d8.loss_cls: 0.8715, decode.d8.loss_mask: 0.7958, decode.d8.loss_dice: 1.2511, loss: 31.6801 2022-04-29 11:29:37,444 - mmseg - INFO - Iter [29650/80000] lr: 9.037e-07, eta: 1 day, 1:44:29, time: 1.798, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8842, decode.loss_mask: 0.8227, decode.loss_dice: 1.2686, decode.d0.loss_cls: 2.8449, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.4504, decode.d1.loss_cls: 0.9797, decode.d1.loss_mask: 0.8477, decode.d1.loss_dice: 1.3554, decode.d2.loss_cls: 0.9173, decode.d2.loss_mask: 0.8369, decode.d2.loss_dice: 1.2983, decode.d3.loss_cls: 0.9002, decode.d3.loss_mask: 0.8272, decode.d3.loss_dice: 1.2884, decode.d4.loss_cls: 0.8933, decode.d4.loss_mask: 0.8284, decode.d4.loss_dice: 1.2777, decode.d5.loss_cls: 0.8938, decode.d5.loss_mask: 0.8225, decode.d5.loss_dice: 1.2761, decode.d6.loss_cls: 0.8928, decode.d6.loss_mask: 0.8209, decode.d6.loss_dice: 1.2664, decode.d7.loss_cls: 0.8888, decode.d7.loss_mask: 0.8239, decode.d7.loss_dice: 1.2658, decode.d8.loss_cls: 0.8820, decode.d8.loss_mask: 0.8227, decode.d8.loss_dice: 1.2678, loss: 32.2567 2022-04-29 11:31:06,640 - mmseg - INFO - Iter [29700/80000] lr: 9.028e-07, eta: 1 day, 1:42:52, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8609, decode.loss_mask: 0.7985, decode.loss_dice: 1.2161, decode.d0.loss_cls: 2.8245, decode.d0.loss_mask: 0.7902, decode.d0.loss_dice: 1.4224, decode.d1.loss_cls: 0.9580, decode.d1.loss_mask: 0.8223, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 0.8931, decode.d2.loss_mask: 0.8132, decode.d2.loss_dice: 1.2596, decode.d3.loss_cls: 0.8808, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.2336, decode.d4.loss_cls: 0.8696, decode.d4.loss_mask: 0.8001, decode.d4.loss_dice: 1.2358, decode.d5.loss_cls: 0.8652, decode.d5.loss_mask: 0.8002, decode.d5.loss_dice: 1.2313, decode.d6.loss_cls: 0.8614, decode.d6.loss_mask: 0.7951, decode.d6.loss_dice: 1.2256, decode.d7.loss_cls: 0.8623, decode.d7.loss_mask: 0.7957, decode.d7.loss_dice: 1.2224, decode.d8.loss_cls: 0.8636, decode.d8.loss_mask: 0.7984, decode.d8.loss_dice: 1.2232, loss: 31.3352 2022-04-29 11:32:35,905 - mmseg - INFO - Iter [29750/80000] lr: 9.019e-07, eta: 1 day, 1:41:15, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9010, decode.loss_mask: 0.8068, decode.loss_dice: 1.2484, decode.d0.loss_cls: 2.8509, decode.d0.loss_mask: 0.7974, decode.d0.loss_dice: 1.4378, decode.d1.loss_cls: 0.9803, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3476, decode.d2.loss_cls: 0.9321, decode.d2.loss_mask: 0.8229, decode.d2.loss_dice: 1.2995, decode.d3.loss_cls: 0.9154, decode.d3.loss_mask: 0.8103, decode.d3.loss_dice: 1.2572, decode.d4.loss_cls: 0.9121, decode.d4.loss_mask: 0.8121, decode.d4.loss_dice: 1.2631, decode.d5.loss_cls: 0.9093, decode.d5.loss_mask: 0.8094, decode.d5.loss_dice: 1.2628, decode.d6.loss_cls: 0.9049, decode.d6.loss_mask: 0.8034, decode.d6.loss_dice: 1.2446, decode.d7.loss_cls: 0.8990, decode.d7.loss_mask: 0.8047, decode.d7.loss_dice: 1.2525, decode.d8.loss_cls: 0.9022, decode.d8.loss_mask: 0.8020, decode.d8.loss_dice: 1.2537, loss: 32.0862 2022-04-29 11:34:06,605 - mmseg - INFO - Iter [29800/80000] lr: 9.010e-07, eta: 1 day, 1:39:41, time: 1.814, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9058, decode.loss_mask: 0.7949, decode.loss_dice: 1.2633, decode.d0.loss_cls: 2.8588, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.4701, decode.d1.loss_cls: 0.9934, decode.d1.loss_mask: 0.8172, decode.d1.loss_dice: 1.3583, decode.d2.loss_cls: 0.9456, decode.d2.loss_mask: 0.8077, decode.d2.loss_dice: 1.3054, decode.d3.loss_cls: 0.9237, decode.d3.loss_mask: 0.7986, decode.d3.loss_dice: 1.2882, decode.d4.loss_cls: 0.9179, decode.d4.loss_mask: 0.7982, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 0.9157, decode.d5.loss_mask: 0.8004, decode.d5.loss_dice: 1.2795, decode.d6.loss_cls: 0.9089, decode.d6.loss_mask: 0.7968, decode.d6.loss_dice: 1.2749, decode.d7.loss_cls: 0.9149, decode.d7.loss_mask: 0.7971, decode.d7.loss_dice: 1.2657, decode.d8.loss_cls: 0.9026, decode.d8.loss_mask: 0.7995, decode.d8.loss_dice: 1.2691, loss: 32.2376 2022-04-29 11:35:35,781 - mmseg - INFO - Iter [29850/80000] lr: 9.001e-07, eta: 1 day, 1:38:04, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8774, decode.loss_mask: 0.7460, decode.loss_dice: 1.2232, decode.d0.loss_cls: 2.8614, decode.d0.loss_mask: 0.7387, decode.d0.loss_dice: 1.4188, decode.d1.loss_cls: 0.9683, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.3191, decode.d2.loss_cls: 0.9050, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.2555, decode.d3.loss_cls: 0.8871, decode.d3.loss_mask: 0.7591, decode.d3.loss_dice: 1.2347, decode.d4.loss_cls: 0.8762, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.2309, decode.d5.loss_cls: 0.8837, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.2262, decode.d6.loss_cls: 0.8779, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.2183, decode.d7.loss_cls: 0.8731, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.2180, decode.d8.loss_cls: 0.8717, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.2204, loss: 30.9780 2022-04-29 11:37:05,361 - mmseg - INFO - Iter [29900/80000] lr: 8.992e-07, eta: 1 day, 1:36:28, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8982, decode.loss_mask: 0.7879, decode.loss_dice: 1.2189, decode.d0.loss_cls: 2.8619, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.4225, decode.d1.loss_cls: 0.9980, decode.d1.loss_mask: 0.8176, decode.d1.loss_dice: 1.3203, decode.d2.loss_cls: 0.9310, decode.d2.loss_mask: 0.7947, decode.d2.loss_dice: 1.2685, decode.d3.loss_cls: 0.9091, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.2409, decode.d4.loss_cls: 0.9019, decode.d4.loss_mask: 0.7879, decode.d4.loss_dice: 1.2460, decode.d5.loss_cls: 0.8990, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2389, decode.d6.loss_cls: 0.8914, decode.d6.loss_mask: 0.7896, decode.d6.loss_dice: 1.2293, decode.d7.loss_cls: 0.8964, decode.d7.loss_mask: 0.7894, decode.d7.loss_dice: 1.2254, decode.d8.loss_cls: 0.9007, decode.d8.loss_mask: 0.7864, decode.d8.loss_dice: 1.2216, loss: 31.6241 2022-04-29 11:38:34,458 - mmseg - INFO - Iter [29950/80000] lr: 8.983e-07, eta: 1 day, 1:34:51, time: 1.782, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8579, decode.loss_mask: 0.8101, decode.loss_dice: 1.2300, decode.d0.loss_cls: 2.7924, decode.d0.loss_mask: 0.7977, decode.d0.loss_dice: 1.4202, decode.d1.loss_cls: 0.9313, decode.d1.loss_mask: 0.8471, decode.d1.loss_dice: 1.3207, decode.d2.loss_cls: 0.8868, decode.d2.loss_mask: 0.8244, decode.d2.loss_dice: 1.2653, decode.d3.loss_cls: 0.8698, decode.d3.loss_mask: 0.8229, decode.d3.loss_dice: 1.2492, decode.d4.loss_cls: 0.8647, decode.d4.loss_mask: 0.8209, decode.d4.loss_dice: 1.2507, decode.d5.loss_cls: 0.8583, decode.d5.loss_mask: 0.8189, decode.d5.loss_dice: 1.2372, decode.d6.loss_cls: 0.8574, decode.d6.loss_mask: 0.8149, decode.d6.loss_dice: 1.2328, decode.d7.loss_cls: 0.8568, decode.d7.loss_mask: 0.8155, decode.d7.loss_dice: 1.2397, decode.d8.loss_cls: 0.8545, decode.d8.loss_mask: 0.8146, decode.d8.loss_dice: 1.2371, loss: 31.4996 2022-04-29 11:40:06,228 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-04-29 11:40:29,456 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 11:40:29,468 - mmseg - INFO - Iter [30000/80000] lr: 8.974e-07, eta: 1 day, 1:33:57, time: 2.298, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8741, decode.loss_mask: 0.7576, decode.loss_dice: 1.2459, decode.d0.loss_cls: 2.8728, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.4425, decode.d1.loss_cls: 0.9660, decode.d1.loss_mask: 0.7840, decode.d1.loss_dice: 1.3345, decode.d2.loss_cls: 0.9106, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.2756, decode.d3.loss_cls: 0.8946, decode.d3.loss_mask: 0.7623, decode.d3.loss_dice: 1.2615, decode.d4.loss_cls: 0.8881, decode.d4.loss_mask: 0.7669, decode.d4.loss_dice: 1.2604, decode.d5.loss_cls: 0.8777, decode.d5.loss_mask: 0.7640, decode.d5.loss_dice: 1.2563, decode.d6.loss_cls: 0.8695, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.2497, decode.d7.loss_cls: 0.8679, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.2481, decode.d8.loss_cls: 0.8713, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.2402, loss: 31.3594 2022-04-29 11:41:59,437 - mmseg - INFO - Iter [30050/80000] lr: 8.965e-07, eta: 1 day, 1:32:22, time: 1.801, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8438, decode.loss_mask: 0.7979, decode.loss_dice: 1.2134, decode.d0.loss_cls: 2.8003, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.4035, decode.d1.loss_cls: 0.9163, decode.d1.loss_mask: 0.8212, decode.d1.loss_dice: 1.3109, decode.d2.loss_cls: 0.8629, decode.d2.loss_mask: 0.8099, decode.d2.loss_dice: 1.2514, decode.d3.loss_cls: 0.8493, decode.d3.loss_mask: 0.8026, decode.d3.loss_dice: 1.2296, decode.d4.loss_cls: 0.8499, decode.d4.loss_mask: 0.7996, decode.d4.loss_dice: 1.2251, decode.d5.loss_cls: 0.8538, decode.d5.loss_mask: 0.7929, decode.d5.loss_dice: 1.2204, decode.d6.loss_cls: 0.8475, decode.d6.loss_mask: 0.7920, decode.d6.loss_dice: 1.2107, decode.d7.loss_cls: 0.8391, decode.d7.loss_mask: 0.7965, decode.d7.loss_dice: 1.2120, decode.d8.loss_cls: 0.8400, decode.d8.loss_mask: 0.8015, decode.d8.loss_dice: 1.2171, loss: 30.9953 2022-04-29 11:43:29,891 - mmseg - INFO - Iter [30100/80000] lr: 8.956e-07, eta: 1 day, 1:30:47, time: 1.809, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8626, decode.loss_mask: 0.7849, decode.loss_dice: 1.2377, decode.d0.loss_cls: 2.7929, decode.d0.loss_mask: 0.7768, decode.d0.loss_dice: 1.4387, decode.d1.loss_cls: 0.9436, decode.d1.loss_mask: 0.8175, decode.d1.loss_dice: 1.3473, decode.d2.loss_cls: 0.8825, decode.d2.loss_mask: 0.8002, decode.d2.loss_dice: 1.2946, decode.d3.loss_cls: 0.8689, decode.d3.loss_mask: 0.7924, decode.d3.loss_dice: 1.2551, decode.d4.loss_cls: 0.8630, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.2559, decode.d5.loss_cls: 0.8603, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.2467, decode.d6.loss_cls: 0.8588, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.2383, decode.d7.loss_cls: 0.8626, decode.d7.loss_mask: 0.7815, decode.d7.loss_dice: 1.2427, decode.d8.loss_cls: 0.8572, decode.d8.loss_mask: 0.7852, decode.d8.loss_dice: 1.2373, loss: 31.3409 2022-04-29 11:44:59,786 - mmseg - INFO - Iter [30150/80000] lr: 8.947e-07, eta: 1 day, 1:29:12, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8825, decode.loss_mask: 0.7753, decode.loss_dice: 1.2320, decode.d0.loss_cls: 2.8334, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.4019, decode.d1.loss_cls: 0.9524, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.3206, decode.d2.loss_cls: 0.9064, decode.d2.loss_mask: 0.7899, decode.d2.loss_dice: 1.2718, decode.d3.loss_cls: 0.8955, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.2440, decode.d4.loss_cls: 0.8868, decode.d4.loss_mask: 0.7791, decode.d4.loss_dice: 1.2403, decode.d5.loss_cls: 0.8806, decode.d5.loss_mask: 0.7745, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.8800, decode.d6.loss_mask: 0.7774, decode.d6.loss_dice: 1.2246, decode.d7.loss_cls: 0.8752, decode.d7.loss_mask: 0.7801, decode.d7.loss_dice: 1.2283, decode.d8.loss_cls: 0.8790, decode.d8.loss_mask: 0.7794, decode.d8.loss_dice: 1.2269, loss: 31.3049 2022-04-29 11:46:28,937 - mmseg - INFO - Iter [30200/80000] lr: 8.938e-07, eta: 1 day, 1:27:35, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8783, decode.loss_mask: 0.7638, decode.loss_dice: 1.2663, decode.d0.loss_cls: 2.8866, decode.d0.loss_mask: 0.7619, decode.d0.loss_dice: 1.4558, decode.d1.loss_cls: 0.9803, decode.d1.loss_mask: 0.7822, decode.d1.loss_dice: 1.3497, decode.d2.loss_cls: 0.9188, decode.d2.loss_mask: 0.7773, decode.d2.loss_dice: 1.2981, decode.d3.loss_cls: 0.8950, decode.d3.loss_mask: 0.7677, decode.d3.loss_dice: 1.2785, decode.d4.loss_cls: 0.8896, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 0.8892, decode.d5.loss_mask: 0.7641, decode.d5.loss_dice: 1.2698, decode.d6.loss_cls: 0.8823, decode.d6.loss_mask: 0.7608, decode.d6.loss_dice: 1.2659, decode.d7.loss_cls: 0.8847, decode.d7.loss_mask: 0.7605, decode.d7.loss_dice: 1.2635, decode.d8.loss_cls: 0.8830, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.2620, loss: 31.6427 2022-04-29 11:47:58,380 - mmseg - INFO - Iter [30250/80000] lr: 8.929e-07, eta: 1 day, 1:25:59, time: 1.791, data_time: 0.016, memory: 64979, decode.loss_cls: 0.9002, decode.loss_mask: 0.8046, decode.loss_dice: 1.2492, decode.d0.loss_cls: 2.7933, decode.d0.loss_mask: 0.7914, decode.d0.loss_dice: 1.4405, decode.d1.loss_cls: 0.9861, decode.d1.loss_mask: 0.8295, decode.d1.loss_dice: 1.3366, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.8183, decode.d2.loss_dice: 1.2897, decode.d3.loss_cls: 0.9192, decode.d3.loss_mask: 0.8105, decode.d3.loss_dice: 1.2699, decode.d4.loss_cls: 0.9143, decode.d4.loss_mask: 0.8081, decode.d4.loss_dice: 1.2664, decode.d5.loss_cls: 0.9098, decode.d5.loss_mask: 0.8105, decode.d5.loss_dice: 1.2638, decode.d6.loss_cls: 0.9067, decode.d6.loss_mask: 0.8118, decode.d6.loss_dice: 1.2442, decode.d7.loss_cls: 0.9050, decode.d7.loss_mask: 0.8093, decode.d7.loss_dice: 1.2455, decode.d8.loss_cls: 0.9092, decode.d8.loss_mask: 0.8057, decode.d8.loss_dice: 1.2460, loss: 32.0225 2022-04-29 11:49:28,246 - mmseg - INFO - Iter [30300/80000] lr: 8.920e-07, eta: 1 day, 1:24:23, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8658, decode.loss_mask: 0.7924, decode.loss_dice: 1.2294, decode.d0.loss_cls: 2.8244, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.4229, decode.d1.loss_cls: 0.9435, decode.d1.loss_mask: 0.8186, decode.d1.loss_dice: 1.3207, decode.d2.loss_cls: 0.8837, decode.d2.loss_mask: 0.8119, decode.d2.loss_dice: 1.2700, decode.d3.loss_cls: 0.8754, decode.d3.loss_mask: 0.8027, decode.d3.loss_dice: 1.2449, decode.d4.loss_cls: 0.8676, decode.d4.loss_mask: 0.8087, decode.d4.loss_dice: 1.2511, decode.d5.loss_cls: 0.8640, decode.d5.loss_mask: 0.8022, decode.d5.loss_dice: 1.2442, decode.d6.loss_cls: 0.8617, decode.d6.loss_mask: 0.7978, decode.d6.loss_dice: 1.2396, decode.d7.loss_cls: 0.8632, decode.d7.loss_mask: 0.7980, decode.d7.loss_dice: 1.2414, decode.d8.loss_cls: 0.8619, decode.d8.loss_mask: 0.7987, decode.d8.loss_dice: 1.2401, loss: 31.4396 2022-04-29 11:50:58,357 - mmseg - INFO - Iter [30350/80000] lr: 8.911e-07, eta: 1 day, 1:22:48, time: 1.802, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8836, decode.loss_mask: 0.7947, decode.loss_dice: 1.2325, decode.d0.loss_cls: 2.8658, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.4116, decode.d1.loss_cls: 0.9668, decode.d1.loss_mask: 0.8240, decode.d1.loss_dice: 1.3264, decode.d2.loss_cls: 0.9191, decode.d2.loss_mask: 0.8057, decode.d2.loss_dice: 1.2675, decode.d3.loss_cls: 0.8970, decode.d3.loss_mask: 0.8069, decode.d3.loss_dice: 1.2467, decode.d4.loss_cls: 0.8949, decode.d4.loss_mask: 0.8058, decode.d4.loss_dice: 1.2473, decode.d5.loss_cls: 0.8911, decode.d5.loss_mask: 0.7983, decode.d5.loss_dice: 1.2336, decode.d6.loss_cls: 0.8882, decode.d6.loss_mask: 0.8015, decode.d6.loss_dice: 1.2324, decode.d7.loss_cls: 0.8886, decode.d7.loss_mask: 0.7984, decode.d7.loss_dice: 1.2262, decode.d8.loss_cls: 0.8898, decode.d8.loss_mask: 0.7958, decode.d8.loss_dice: 1.2256, loss: 31.6526 2022-04-29 11:52:28,332 - mmseg - INFO - Iter [30400/80000] lr: 8.902e-07, eta: 1 day, 1:21:13, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8726, decode.loss_mask: 0.7872, decode.loss_dice: 1.2477, decode.d0.loss_cls: 2.8165, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.4390, decode.d1.loss_cls: 0.9493, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.3345, decode.d2.loss_cls: 0.8949, decode.d2.loss_mask: 0.7966, decode.d2.loss_dice: 1.2803, decode.d3.loss_cls: 0.8818, decode.d3.loss_mask: 0.7906, decode.d3.loss_dice: 1.2597, decode.d4.loss_cls: 0.8796, decode.d4.loss_mask: 0.7893, decode.d4.loss_dice: 1.2621, decode.d5.loss_cls: 0.8767, decode.d5.loss_mask: 0.7865, decode.d5.loss_dice: 1.2495, decode.d6.loss_cls: 0.8670, decode.d6.loss_mask: 0.7861, decode.d6.loss_dice: 1.2418, decode.d7.loss_cls: 0.8720, decode.d7.loss_mask: 0.7876, decode.d7.loss_dice: 1.2444, decode.d8.loss_cls: 0.8662, decode.d8.loss_mask: 0.7882, decode.d8.loss_dice: 1.2451, loss: 31.4820 2022-04-29 11:53:58,217 - mmseg - INFO - Iter [30450/80000] lr: 8.893e-07, eta: 1 day, 1:19:37, time: 1.799, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8586, decode.loss_mask: 0.7933, decode.loss_dice: 1.2431, decode.d0.loss_cls: 2.7624, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.4302, decode.d1.loss_cls: 0.9313, decode.d1.loss_mask: 0.8303, decode.d1.loss_dice: 1.3440, decode.d2.loss_cls: 0.8815, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.2805, decode.d3.loss_cls: 0.8743, decode.d3.loss_mask: 0.8017, decode.d3.loss_dice: 1.2613, decode.d4.loss_cls: 0.8648, decode.d4.loss_mask: 0.7961, decode.d4.loss_dice: 1.2607, decode.d5.loss_cls: 0.8627, decode.d5.loss_mask: 0.7911, decode.d5.loss_dice: 1.2478, decode.d6.loss_cls: 0.8588, decode.d6.loss_mask: 0.7862, decode.d6.loss_dice: 1.2525, decode.d7.loss_cls: 0.8552, decode.d7.loss_mask: 0.7937, decode.d7.loss_dice: 1.2485, decode.d8.loss_cls: 0.8499, decode.d8.loss_mask: 0.7959, decode.d8.loss_dice: 1.2536, loss: 31.4001 2022-04-29 11:55:27,721 - mmseg - INFO - Iter [30500/80000] lr: 8.884e-07, eta: 1 day, 1:18:01, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8609, decode.loss_mask: 0.7896, decode.loss_dice: 1.2310, decode.d0.loss_cls: 2.7967, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.4215, decode.d1.loss_cls: 0.9346, decode.d1.loss_mask: 0.8263, decode.d1.loss_dice: 1.3359, decode.d2.loss_cls: 0.8878, decode.d2.loss_mask: 0.8067, decode.d2.loss_dice: 1.2765, decode.d3.loss_cls: 0.8695, decode.d3.loss_mask: 0.8016, decode.d3.loss_dice: 1.2506, decode.d4.loss_cls: 0.8704, decode.d4.loss_mask: 0.7952, decode.d4.loss_dice: 1.2496, decode.d5.loss_cls: 0.8633, decode.d5.loss_mask: 0.7999, decode.d5.loss_dice: 1.2322, decode.d6.loss_cls: 0.8585, decode.d6.loss_mask: 0.7972, decode.d6.loss_dice: 1.2347, decode.d7.loss_cls: 0.8592, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.2371, decode.d8.loss_cls: 0.8551, decode.d8.loss_mask: 0.7917, decode.d8.loss_dice: 1.2348, loss: 31.3465 2022-04-29 11:56:57,935 - mmseg - INFO - Iter [30550/80000] lr: 8.875e-07, eta: 1 day, 1:16:26, time: 1.802, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8363, decode.loss_mask: 0.7933, decode.loss_dice: 1.2240, decode.d0.loss_cls: 2.7497, decode.d0.loss_mask: 0.7878, decode.d0.loss_dice: 1.4131, decode.d1.loss_cls: 0.9173, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.3201, decode.d2.loss_cls: 0.8619, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.2577, decode.d3.loss_cls: 0.8510, decode.d3.loss_mask: 0.7997, decode.d3.loss_dice: 1.2472, decode.d4.loss_cls: 0.8441, decode.d4.loss_mask: 0.7992, decode.d4.loss_dice: 1.2313, decode.d5.loss_cls: 0.8436, decode.d5.loss_mask: 0.7953, decode.d5.loss_dice: 1.2326, decode.d6.loss_cls: 0.8386, decode.d6.loss_mask: 0.7941, decode.d6.loss_dice: 1.2240, decode.d7.loss_cls: 0.8341, decode.d7.loss_mask: 0.7925, decode.d7.loss_dice: 1.2286, decode.d8.loss_cls: 0.8361, decode.d8.loss_mask: 0.7955, decode.d8.loss_dice: 1.2267, loss: 30.9985 2022-04-29 11:58:29,091 - mmseg - INFO - Iter [30600/80000] lr: 8.866e-07, eta: 1 day, 1:14:53, time: 1.825, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8749, decode.loss_mask: 0.7881, decode.loss_dice: 1.2333, decode.d0.loss_cls: 2.8602, decode.d0.loss_mask: 0.7848, decode.d0.loss_dice: 1.4264, decode.d1.loss_cls: 0.9778, decode.d1.loss_mask: 0.8245, decode.d1.loss_dice: 1.3242, decode.d2.loss_cls: 0.9151, decode.d2.loss_mask: 0.7987, decode.d2.loss_dice: 1.2730, decode.d3.loss_cls: 0.8974, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.2548, decode.d4.loss_cls: 0.9012, decode.d4.loss_mask: 0.7860, decode.d4.loss_dice: 1.2457, decode.d5.loss_cls: 0.8863, decode.d5.loss_mask: 0.7896, decode.d5.loss_dice: 1.2422, decode.d6.loss_cls: 0.8772, decode.d6.loss_mask: 0.7889, decode.d6.loss_dice: 1.2355, decode.d7.loss_cls: 0.8846, decode.d7.loss_mask: 0.7921, decode.d7.loss_dice: 1.2389, decode.d8.loss_cls: 0.8801, decode.d8.loss_mask: 0.7881, decode.d8.loss_dice: 1.2316, loss: 31.5937 2022-04-29 11:59:58,029 - mmseg - INFO - Iter [30650/80000] lr: 8.857e-07, eta: 1 day, 1:13:16, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8837, decode.loss_mask: 0.7855, decode.loss_dice: 1.2256, decode.d0.loss_cls: 2.8053, decode.d0.loss_mask: 0.7845, decode.d0.loss_dice: 1.4315, decode.d1.loss_cls: 0.9771, decode.d1.loss_mask: 0.8128, decode.d1.loss_dice: 1.3240, decode.d2.loss_cls: 0.9048, decode.d2.loss_mask: 0.8020, decode.d2.loss_dice: 1.2701, decode.d3.loss_cls: 0.8999, decode.d3.loss_mask: 0.7913, decode.d3.loss_dice: 1.2367, decode.d4.loss_cls: 0.8934, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.2428, decode.d5.loss_cls: 0.8860, decode.d5.loss_mask: 0.7896, decode.d5.loss_dice: 1.2422, decode.d6.loss_cls: 0.8793, decode.d6.loss_mask: 0.7863, decode.d6.loss_dice: 1.2299, decode.d7.loss_cls: 0.8805, decode.d7.loss_mask: 0.7817, decode.d7.loss_dice: 1.2354, decode.d8.loss_cls: 0.8787, decode.d8.loss_mask: 0.7834, decode.d8.loss_dice: 1.2280, loss: 31.4607 2022-04-29 12:01:30,706 - mmseg - INFO - Iter [30700/80000] lr: 8.848e-07, eta: 1 day, 1:11:45, time: 1.853, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8500, decode.loss_mask: 0.8054, decode.loss_dice: 1.2343, decode.d0.loss_cls: 2.7937, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.4138, decode.d1.loss_cls: 0.9398, decode.d1.loss_mask: 0.8283, decode.d1.loss_dice: 1.3222, decode.d2.loss_cls: 0.8839, decode.d2.loss_mask: 0.8098, decode.d2.loss_dice: 1.2637, decode.d3.loss_cls: 0.8664, decode.d3.loss_mask: 0.8119, decode.d3.loss_dice: 1.2470, decode.d4.loss_cls: 0.8625, decode.d4.loss_mask: 0.8043, decode.d4.loss_dice: 1.2460, decode.d5.loss_cls: 0.8542, decode.d5.loss_mask: 0.8074, decode.d5.loss_dice: 1.2374, decode.d6.loss_cls: 0.8500, decode.d6.loss_mask: 0.8064, decode.d6.loss_dice: 1.2326, decode.d7.loss_cls: 0.8526, decode.d7.loss_mask: 0.8001, decode.d7.loss_dice: 1.2314, decode.d8.loss_cls: 0.8467, decode.d8.loss_mask: 0.8019, decode.d8.loss_dice: 1.2331, loss: 31.3283 2022-04-29 12:03:00,318 - mmseg - INFO - Iter [30750/80000] lr: 8.839e-07, eta: 1 day, 1:10:09, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9191, decode.loss_mask: 0.7961, decode.loss_dice: 1.2513, decode.d0.loss_cls: 2.8806, decode.d0.loss_mask: 0.7888, decode.d0.loss_dice: 1.4631, decode.d1.loss_cls: 1.0184, decode.d1.loss_mask: 0.8272, decode.d1.loss_dice: 1.3495, decode.d2.loss_cls: 0.9558, decode.d2.loss_mask: 0.8147, decode.d2.loss_dice: 1.3008, decode.d3.loss_cls: 0.9389, decode.d3.loss_mask: 0.8102, decode.d3.loss_dice: 1.2721, decode.d4.loss_cls: 0.9332, decode.d4.loss_mask: 0.8019, decode.d4.loss_dice: 1.2661, decode.d5.loss_cls: 0.9381, decode.d5.loss_mask: 0.7945, decode.d5.loss_dice: 1.2617, decode.d6.loss_cls: 0.9362, decode.d6.loss_mask: 0.7924, decode.d6.loss_dice: 1.2514, decode.d7.loss_cls: 0.9257, decode.d7.loss_mask: 0.7930, decode.d7.loss_dice: 1.2562, decode.d8.loss_cls: 0.9211, decode.d8.loss_mask: 0.7936, decode.d8.loss_dice: 1.2531, loss: 32.3046 2022-04-29 12:04:29,949 - mmseg - INFO - Iter [30800/80000] lr: 8.830e-07, eta: 1 day, 1:08:34, time: 1.794, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8665, decode.loss_mask: 0.7722, decode.loss_dice: 1.2679, decode.d0.loss_cls: 2.8190, decode.d0.loss_mask: 0.7621, decode.d0.loss_dice: 1.4593, decode.d1.loss_cls: 0.9549, decode.d1.loss_mask: 0.7989, decode.d1.loss_dice: 1.3587, decode.d2.loss_cls: 0.9030, decode.d2.loss_mask: 0.7848, decode.d2.loss_dice: 1.3052, decode.d3.loss_cls: 0.8872, decode.d3.loss_mask: 0.7770, decode.d3.loss_dice: 1.2789, decode.d4.loss_cls: 0.8879, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.2862, decode.d5.loss_cls: 0.8754, decode.d5.loss_mask: 0.7722, decode.d5.loss_dice: 1.2712, decode.d6.loss_cls: 0.8706, decode.d6.loss_mask: 0.7705, decode.d6.loss_dice: 1.2695, decode.d7.loss_cls: 0.8662, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.2650, decode.d8.loss_cls: 0.8673, decode.d8.loss_mask: 0.7753, decode.d8.loss_dice: 1.2638, loss: 31.5838 2022-04-29 12:05:59,502 - mmseg - INFO - Iter [30850/80000] lr: 8.821e-07, eta: 1 day, 1:06:58, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8969, decode.loss_mask: 0.7928, decode.loss_dice: 1.2421, decode.d0.loss_cls: 2.8521, decode.d0.loss_mask: 0.7949, decode.d0.loss_dice: 1.4434, decode.d1.loss_cls: 0.9660, decode.d1.loss_mask: 0.8303, decode.d1.loss_dice: 1.3378, decode.d2.loss_cls: 0.9214, decode.d2.loss_mask: 0.8128, decode.d2.loss_dice: 1.2893, decode.d3.loss_cls: 0.9024, decode.d3.loss_mask: 0.8092, decode.d3.loss_dice: 1.2618, decode.d4.loss_cls: 0.9047, decode.d4.loss_mask: 0.8021, decode.d4.loss_dice: 1.2621, decode.d5.loss_cls: 0.9039, decode.d5.loss_mask: 0.7999, decode.d5.loss_dice: 1.2568, decode.d6.loss_cls: 0.8993, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.2494, decode.d7.loss_cls: 0.9001, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.2410, decode.d8.loss_cls: 0.8948, decode.d8.loss_mask: 0.7945, decode.d8.loss_dice: 1.2428, loss: 31.8896 2022-04-29 12:07:29,103 - mmseg - INFO - Iter [30900/80000] lr: 8.812e-07, eta: 1 day, 1:05:22, time: 1.794, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8774, decode.loss_mask: 0.7873, decode.loss_dice: 1.2374, decode.d0.loss_cls: 2.8286, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.4332, decode.d1.loss_cls: 0.9553, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.3348, decode.d2.loss_cls: 0.9002, decode.d2.loss_mask: 0.8042, decode.d2.loss_dice: 1.2813, decode.d3.loss_cls: 0.8982, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2463, decode.d4.loss_cls: 0.8860, decode.d4.loss_mask: 0.7923, decode.d4.loss_dice: 1.2535, decode.d5.loss_cls: 0.8837, decode.d5.loss_mask: 0.7887, decode.d5.loss_dice: 1.2436, decode.d6.loss_cls: 0.8785, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.2376, decode.d7.loss_cls: 0.8748, decode.d7.loss_mask: 0.7912, decode.d7.loss_dice: 1.2429, decode.d8.loss_cls: 0.8749, decode.d8.loss_mask: 0.7941, decode.d8.loss_dice: 1.2434, loss: 31.5381 2022-04-29 12:08:58,085 - mmseg - INFO - Iter [30950/80000] lr: 8.803e-07, eta: 1 day, 1:03:45, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8755, decode.loss_mask: 0.7809, decode.loss_dice: 1.2330, decode.d0.loss_cls: 2.8209, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.4257, decode.d1.loss_cls: 0.9695, decode.d1.loss_mask: 0.8052, decode.d1.loss_dice: 1.3168, decode.d2.loss_cls: 0.9070, decode.d2.loss_mask: 0.7876, decode.d2.loss_dice: 1.2677, decode.d3.loss_cls: 0.8961, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2486, decode.d4.loss_cls: 0.8892, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.2517, decode.d5.loss_cls: 0.8876, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2386, decode.d6.loss_cls: 0.8833, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.2242, decode.d7.loss_cls: 0.8769, decode.d7.loss_mask: 0.7782, decode.d7.loss_dice: 1.2335, decode.d8.loss_cls: 0.8751, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.2301, loss: 31.3628 2022-04-29 12:10:28,602 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-04-29 12:10:48,205 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 12:10:48,217 - mmseg - INFO - Iter [31000/80000] lr: 8.794e-07, eta: 1 day, 1:02:42, time: 2.201, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8619, decode.loss_mask: 0.7903, decode.loss_dice: 1.2394, decode.d0.loss_cls: 2.7886, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.4431, decode.d1.loss_cls: 0.9557, decode.d1.loss_mask: 0.8216, decode.d1.loss_dice: 1.3521, decode.d2.loss_cls: 0.8895, decode.d2.loss_mask: 0.8106, decode.d2.loss_dice: 1.2901, decode.d3.loss_cls: 0.8720, decode.d3.loss_mask: 0.8055, decode.d3.loss_dice: 1.2672, decode.d4.loss_cls: 0.8708, decode.d4.loss_mask: 0.8013, decode.d4.loss_dice: 1.2629, decode.d5.loss_cls: 0.8691, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.2519, decode.d6.loss_cls: 0.8667, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.2419, decode.d7.loss_cls: 0.8621, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.2537, decode.d8.loss_cls: 0.8623, decode.d8.loss_mask: 0.7916, decode.d8.loss_dice: 1.2453, loss: 31.5484 2022-04-29 12:12:17,819 - mmseg - INFO - Iter [31050/80000] lr: 8.785e-07, eta: 1 day, 1:01:06, time: 1.792, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8639, decode.loss_mask: 0.7882, decode.loss_dice: 1.2539, decode.d0.loss_cls: 2.7466, decode.d0.loss_mask: 0.7904, decode.d0.loss_dice: 1.4455, decode.d1.loss_cls: 0.9527, decode.d1.loss_mask: 0.8190, decode.d1.loss_dice: 1.3531, decode.d2.loss_cls: 0.8965, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.2967, decode.d3.loss_cls: 0.8748, decode.d3.loss_mask: 0.8053, decode.d3.loss_dice: 1.2820, decode.d4.loss_cls: 0.8687, decode.d4.loss_mask: 0.8013, decode.d4.loss_dice: 1.2795, decode.d5.loss_cls: 0.8617, decode.d5.loss_mask: 0.8003, decode.d5.loss_dice: 1.2738, decode.d6.loss_cls: 0.8563, decode.d6.loss_mask: 0.7930, decode.d6.loss_dice: 1.2622, decode.d7.loss_cls: 0.8625, decode.d7.loss_mask: 0.7935, decode.d7.loss_dice: 1.2552, decode.d8.loss_cls: 0.8560, decode.d8.loss_mask: 0.7950, decode.d8.loss_dice: 1.2583, loss: 31.5908 2022-04-29 12:13:47,068 - mmseg - INFO - Iter [31100/80000] lr: 8.776e-07, eta: 1 day, 0:59:30, time: 1.787, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8848, decode.loss_mask: 0.8074, decode.loss_dice: 1.2425, decode.d0.loss_cls: 2.8295, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.4384, decode.d1.loss_cls: 0.9741, decode.d1.loss_mask: 0.8424, decode.d1.loss_dice: 1.3402, decode.d2.loss_cls: 0.9255, decode.d2.loss_mask: 0.8228, decode.d2.loss_dice: 1.2915, decode.d3.loss_cls: 0.8942, decode.d3.loss_mask: 0.8185, decode.d3.loss_dice: 1.2555, decode.d4.loss_cls: 0.8873, decode.d4.loss_mask: 0.8139, decode.d4.loss_dice: 1.2614, decode.d5.loss_cls: 0.8912, decode.d5.loss_mask: 0.8099, decode.d5.loss_dice: 1.2574, decode.d6.loss_cls: 0.8771, decode.d6.loss_mask: 0.8094, decode.d6.loss_dice: 1.2402, decode.d7.loss_cls: 0.8820, decode.d7.loss_mask: 0.8096, decode.d7.loss_dice: 1.2448, decode.d8.loss_cls: 0.8704, decode.d8.loss_mask: 0.8119, decode.d8.loss_dice: 1.2531, loss: 31.8937 2022-04-29 12:15:16,032 - mmseg - INFO - Iter [31150/80000] lr: 8.768e-07, eta: 1 day, 0:57:53, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8685, decode.loss_mask: 0.7886, decode.loss_dice: 1.2027, decode.d0.loss_cls: 2.7857, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3910, decode.d1.loss_cls: 0.9641, decode.d1.loss_mask: 0.8143, decode.d1.loss_dice: 1.2938, decode.d2.loss_cls: 0.8969, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2332, decode.d3.loss_cls: 0.8846, decode.d3.loss_mask: 0.7899, decode.d3.loss_dice: 1.2103, decode.d4.loss_cls: 0.8770, decode.d4.loss_mask: 0.7904, decode.d4.loss_dice: 1.2099, decode.d5.loss_cls: 0.8748, decode.d5.loss_mask: 0.7905, decode.d5.loss_dice: 1.2133, decode.d6.loss_cls: 0.8629, decode.d6.loss_mask: 0.7892, decode.d6.loss_dice: 1.2013, decode.d7.loss_cls: 0.8658, decode.d7.loss_mask: 0.7878, decode.d7.loss_dice: 1.1971, decode.d8.loss_cls: 0.8694, decode.d8.loss_mask: 0.7897, decode.d8.loss_dice: 1.2027, loss: 31.0260 2022-04-29 12:16:45,311 - mmseg - INFO - Iter [31200/80000] lr: 8.759e-07, eta: 1 day, 0:56:17, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8935, decode.loss_mask: 0.7808, decode.loss_dice: 1.2489, decode.d0.loss_cls: 2.8450, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.4454, decode.d1.loss_cls: 0.9860, decode.d1.loss_mask: 0.8165, decode.d1.loss_dice: 1.3575, decode.d2.loss_cls: 0.9231, decode.d2.loss_mask: 0.7959, decode.d2.loss_dice: 1.2919, decode.d3.loss_cls: 0.9098, decode.d3.loss_mask: 0.7916, decode.d3.loss_dice: 1.2719, decode.d4.loss_cls: 0.9037, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.2664, decode.d5.loss_cls: 0.9044, decode.d5.loss_mask: 0.7777, decode.d5.loss_dice: 1.2582, decode.d6.loss_cls: 0.9012, decode.d6.loss_mask: 0.7794, decode.d6.loss_dice: 1.2434, decode.d7.loss_cls: 0.8972, decode.d7.loss_mask: 0.7801, decode.d7.loss_dice: 1.2534, decode.d8.loss_cls: 0.8926, decode.d8.loss_mask: 0.7775, decode.d8.loss_dice: 1.2440, loss: 31.8119 2022-04-29 12:18:15,420 - mmseg - INFO - Iter [31250/80000] lr: 8.750e-07, eta: 1 day, 0:54:42, time: 1.802, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8349, decode.loss_mask: 0.7721, decode.loss_dice: 1.2145, decode.d0.loss_cls: 2.7681, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3968, decode.d1.loss_cls: 0.9275, decode.d1.loss_mask: 0.8007, decode.d1.loss_dice: 1.3151, decode.d2.loss_cls: 0.8717, decode.d2.loss_mask: 0.7891, decode.d2.loss_dice: 1.2590, decode.d3.loss_cls: 0.8605, decode.d3.loss_mask: 0.7750, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8540, decode.d4.loss_mask: 0.7747, decode.d4.loss_dice: 1.2294, decode.d5.loss_cls: 0.8457, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.2260, decode.d6.loss_cls: 0.8418, decode.d6.loss_mask: 0.7664, decode.d6.loss_dice: 1.2088, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.7702, decode.d7.loss_dice: 1.2173, decode.d8.loss_cls: 0.8367, decode.d8.loss_mask: 0.7695, decode.d8.loss_dice: 1.2124, loss: 30.7511 2022-04-29 12:19:44,977 - mmseg - INFO - Iter [31300/80000] lr: 8.741e-07, eta: 1 day, 0:53:06, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8759, decode.loss_mask: 0.7840, decode.loss_dice: 1.2326, decode.d0.loss_cls: 2.8101, decode.d0.loss_mask: 0.7739, decode.d0.loss_dice: 1.4254, decode.d1.loss_cls: 0.9612, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.3280, decode.d2.loss_cls: 0.9049, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.2699, decode.d3.loss_cls: 0.8962, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.2454, decode.d4.loss_cls: 0.8843, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2579, decode.d5.loss_cls: 0.8820, decode.d5.loss_mask: 0.7818, decode.d5.loss_dice: 1.2400, decode.d6.loss_cls: 0.8759, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.2300, decode.d7.loss_cls: 0.8766, decode.d7.loss_mask: 0.7830, decode.d7.loss_dice: 1.2286, decode.d8.loss_cls: 0.8731, decode.d8.loss_mask: 0.7835, decode.d8.loss_dice: 1.2296, loss: 31.3933 2022-04-29 12:21:13,962 - mmseg - INFO - Iter [31350/80000] lr: 8.732e-07, eta: 1 day, 0:51:30, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8835, decode.loss_mask: 0.8013, decode.loss_dice: 1.2329, decode.d0.loss_cls: 2.8380, decode.d0.loss_mask: 0.7955, decode.d0.loss_dice: 1.4302, decode.d1.loss_cls: 0.9704, decode.d1.loss_mask: 0.8384, decode.d1.loss_dice: 1.3294, decode.d2.loss_cls: 0.9157, decode.d2.loss_mask: 0.8170, decode.d2.loss_dice: 1.2800, decode.d3.loss_cls: 0.8986, decode.d3.loss_mask: 0.8133, decode.d3.loss_dice: 1.2600, decode.d4.loss_cls: 0.8948, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2628, decode.d5.loss_cls: 0.8914, decode.d5.loss_mask: 0.8071, decode.d5.loss_dice: 1.2505, decode.d6.loss_cls: 0.8858, decode.d6.loss_mask: 0.7986, decode.d6.loss_dice: 1.2317, decode.d7.loss_cls: 0.8791, decode.d7.loss_mask: 0.8026, decode.d7.loss_dice: 1.2465, decode.d8.loss_cls: 0.8920, decode.d8.loss_mask: 0.7980, decode.d8.loss_dice: 1.2322, loss: 31.7874 2022-04-29 12:22:43,466 - mmseg - INFO - Iter [31400/80000] lr: 8.723e-07, eta: 1 day, 0:49:54, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8261, decode.loss_mask: 0.8057, decode.loss_dice: 1.2323, decode.d0.loss_cls: 2.7402, decode.d0.loss_mask: 0.8059, decode.d0.loss_dice: 1.3898, decode.d1.loss_cls: 0.9105, decode.d1.loss_mask: 0.8315, decode.d1.loss_dice: 1.3106, decode.d2.loss_cls: 0.8562, decode.d2.loss_mask: 0.8172, decode.d2.loss_dice: 1.2657, decode.d3.loss_cls: 0.8432, decode.d3.loss_mask: 0.8093, decode.d3.loss_dice: 1.2321, decode.d4.loss_cls: 0.8401, decode.d4.loss_mask: 0.8025, decode.d4.loss_dice: 1.2344, decode.d5.loss_cls: 0.8351, decode.d5.loss_mask: 0.8079, decode.d5.loss_dice: 1.2289, decode.d6.loss_cls: 0.8348, decode.d6.loss_mask: 0.8009, decode.d6.loss_dice: 1.2191, decode.d7.loss_cls: 0.8262, decode.d7.loss_mask: 0.8056, decode.d7.loss_dice: 1.2271, decode.d8.loss_cls: 0.8296, decode.d8.loss_mask: 0.8043, decode.d8.loss_dice: 1.2235, loss: 30.9964 2022-04-29 12:24:13,098 - mmseg - INFO - Iter [31450/80000] lr: 8.714e-07, eta: 1 day, 0:48:18, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8527, decode.loss_mask: 0.7752, decode.loss_dice: 1.2182, decode.d0.loss_cls: 2.7337, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.4039, decode.d1.loss_cls: 0.9323, decode.d1.loss_mask: 0.7963, decode.d1.loss_dice: 1.3038, decode.d2.loss_cls: 0.8762, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.2626, decode.d3.loss_cls: 0.8610, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.2414, decode.d4.loss_cls: 0.8574, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.2390, decode.d5.loss_cls: 0.8540, decode.d5.loss_mask: 0.7764, decode.d5.loss_dice: 1.2324, decode.d6.loss_cls: 0.8540, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.2164, decode.d7.loss_cls: 0.8522, decode.d7.loss_mask: 0.7744, decode.d7.loss_dice: 1.2157, decode.d8.loss_cls: 0.8446, decode.d8.loss_mask: 0.7726, decode.d8.loss_dice: 1.2144, loss: 30.8385 2022-04-29 12:25:41,848 - mmseg - INFO - Iter [31500/80000] lr: 8.705e-07, eta: 1 day, 0:46:41, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8882, decode.loss_mask: 0.7771, decode.loss_dice: 1.2223, decode.d0.loss_cls: 2.7987, decode.d0.loss_mask: 0.7737, decode.d0.loss_dice: 1.4159, decode.d1.loss_cls: 0.9705, decode.d1.loss_mask: 0.8113, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 0.9061, decode.d2.loss_mask: 0.8028, decode.d2.loss_dice: 1.2735, decode.d3.loss_cls: 0.9005, decode.d3.loss_mask: 0.7934, decode.d3.loss_dice: 1.2445, decode.d4.loss_cls: 0.8945, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.2416, decode.d5.loss_cls: 0.8930, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2332, decode.d6.loss_cls: 0.8810, decode.d6.loss_mask: 0.7841, decode.d6.loss_dice: 1.2146, decode.d7.loss_cls: 0.8889, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.2229, decode.d8.loss_cls: 0.8886, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.2136, loss: 31.3876 2022-04-29 12:27:10,474 - mmseg - INFO - Iter [31550/80000] lr: 8.696e-07, eta: 1 day, 0:45:04, time: 1.773, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8590, decode.loss_mask: 0.7874, decode.loss_dice: 1.2497, decode.d0.loss_cls: 2.8020, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4386, decode.d1.loss_cls: 0.9406, decode.d1.loss_mask: 0.8273, decode.d1.loss_dice: 1.3501, decode.d2.loss_cls: 0.8849, decode.d2.loss_mask: 0.8042, decode.d2.loss_dice: 1.2946, decode.d3.loss_cls: 0.8650, decode.d3.loss_mask: 0.7938, decode.d3.loss_dice: 1.2676, decode.d4.loss_cls: 0.8590, decode.d4.loss_mask: 0.7980, decode.d4.loss_dice: 1.2649, decode.d5.loss_cls: 0.8606, decode.d5.loss_mask: 0.7947, decode.d5.loss_dice: 1.2582, decode.d6.loss_cls: 0.8569, decode.d6.loss_mask: 0.7867, decode.d6.loss_dice: 1.2492, decode.d7.loss_cls: 0.8571, decode.d7.loss_mask: 0.7872, decode.d7.loss_dice: 1.2428, decode.d8.loss_cls: 0.8568, decode.d8.loss_mask: 0.7881, decode.d8.loss_dice: 1.2491, loss: 31.4616 2022-04-29 12:28:39,060 - mmseg - INFO - Iter [31600/80000] lr: 8.687e-07, eta: 1 day, 0:43:27, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8570, decode.loss_mask: 0.7882, decode.loss_dice: 1.2249, decode.d0.loss_cls: 2.7828, decode.d0.loss_mask: 0.7810, decode.d0.loss_dice: 1.3965, decode.d1.loss_cls: 0.9390, decode.d1.loss_mask: 0.8112, decode.d1.loss_dice: 1.3095, decode.d2.loss_cls: 0.8902, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.2612, decode.d3.loss_cls: 0.8804, decode.d3.loss_mask: 0.7886, decode.d3.loss_dice: 1.2334, decode.d4.loss_cls: 0.8760, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.2304, decode.d5.loss_cls: 0.8672, decode.d5.loss_mask: 0.7872, decode.d5.loss_dice: 1.2343, decode.d6.loss_cls: 0.8625, decode.d6.loss_mask: 0.7883, decode.d6.loss_dice: 1.2262, decode.d7.loss_cls: 0.8557, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.2319, decode.d8.loss_cls: 0.8582, decode.d8.loss_mask: 0.7867, decode.d8.loss_dice: 1.2239, loss: 31.1515 2022-04-29 12:30:08,330 - mmseg - INFO - Iter [31650/80000] lr: 8.678e-07, eta: 1 day, 0:41:51, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8742, decode.loss_mask: 0.7892, decode.loss_dice: 1.2397, decode.d0.loss_cls: 2.8024, decode.d0.loss_mask: 0.7856, decode.d0.loss_dice: 1.4406, decode.d1.loss_cls: 0.9498, decode.d1.loss_mask: 0.8204, decode.d1.loss_dice: 1.3382, decode.d2.loss_cls: 0.9014, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2797, decode.d3.loss_cls: 0.8938, decode.d3.loss_mask: 0.7910, decode.d3.loss_dice: 1.2541, decode.d4.loss_cls: 0.8876, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.2537, decode.d5.loss_cls: 0.8823, decode.d5.loss_mask: 0.7884, decode.d5.loss_dice: 1.2467, decode.d6.loss_cls: 0.8745, decode.d6.loss_mask: 0.7873, decode.d6.loss_dice: 1.2392, decode.d7.loss_cls: 0.8725, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.2411, decode.d8.loss_cls: 0.8750, decode.d8.loss_mask: 0.7871, decode.d8.loss_dice: 1.2375, loss: 31.5054 2022-04-29 12:31:37,561 - mmseg - INFO - Iter [31700/80000] lr: 8.669e-07, eta: 1 day, 0:40:15, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8733, decode.loss_mask: 0.7854, decode.loss_dice: 1.2289, decode.d0.loss_cls: 2.7794, decode.d0.loss_mask: 0.7781, decode.d0.loss_dice: 1.4155, decode.d1.loss_cls: 0.9601, decode.d1.loss_mask: 0.8125, decode.d1.loss_dice: 1.3226, decode.d2.loss_cls: 0.9139, decode.d2.loss_mask: 0.8016, decode.d2.loss_dice: 1.2580, decode.d3.loss_cls: 0.8926, decode.d3.loss_mask: 0.7875, decode.d3.loss_dice: 1.2305, decode.d4.loss_cls: 0.8820, decode.d4.loss_mask: 0.7889, decode.d4.loss_dice: 1.2365, decode.d5.loss_cls: 0.8712, decode.d5.loss_mask: 0.7876, decode.d5.loss_dice: 1.2356, decode.d6.loss_cls: 0.8701, decode.d6.loss_mask: 0.7865, decode.d6.loss_dice: 1.2269, decode.d7.loss_cls: 0.8693, decode.d7.loss_mask: 0.7872, decode.d7.loss_dice: 1.2347, decode.d8.loss_cls: 0.8661, decode.d8.loss_mask: 0.7875, decode.d8.loss_dice: 1.2291, loss: 31.2992 2022-04-29 12:33:06,635 - mmseg - INFO - Iter [31750/80000] lr: 8.660e-07, eta: 1 day, 0:38:39, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8384, decode.loss_mask: 0.7790, decode.loss_dice: 1.2641, decode.d0.loss_cls: 2.7955, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.4419, decode.d1.loss_cls: 0.9122, decode.d1.loss_mask: 0.8037, decode.d1.loss_dice: 1.3591, decode.d2.loss_cls: 0.8734, decode.d2.loss_mask: 0.7920, decode.d2.loss_dice: 1.3034, decode.d3.loss_cls: 0.8531, decode.d3.loss_mask: 0.7859, decode.d3.loss_dice: 1.2797, decode.d4.loss_cls: 0.8566, decode.d4.loss_mask: 0.7804, decode.d4.loss_dice: 1.2762, decode.d5.loss_cls: 0.8536, decode.d5.loss_mask: 0.7865, decode.d5.loss_dice: 1.2815, decode.d6.loss_cls: 0.8421, decode.d6.loss_mask: 0.7837, decode.d6.loss_dice: 1.2635, decode.d7.loss_cls: 0.8333, decode.d7.loss_mask: 0.7847, decode.d7.loss_dice: 1.2715, decode.d8.loss_cls: 0.8352, decode.d8.loss_mask: 0.7833, decode.d8.loss_dice: 1.2715, loss: 31.3583 2022-04-29 12:34:36,749 - mmseg - INFO - Iter [31800/80000] lr: 8.651e-07, eta: 1 day, 0:37:04, time: 1.803, data_time: 0.017, memory: 64979, decode.loss_cls: 0.9018, decode.loss_mask: 0.7952, decode.loss_dice: 1.2648, decode.d0.loss_cls: 2.8640, decode.d0.loss_mask: 0.7946, decode.d0.loss_dice: 1.4673, decode.d1.loss_cls: 0.9923, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.3667, decode.d2.loss_cls: 0.9350, decode.d2.loss_mask: 0.8078, decode.d2.loss_dice: 1.3077, decode.d3.loss_cls: 0.9166, decode.d3.loss_mask: 0.7991, decode.d3.loss_dice: 1.2851, decode.d4.loss_cls: 0.9132, decode.d4.loss_mask: 0.8045, decode.d4.loss_dice: 1.2864, decode.d5.loss_cls: 0.9108, decode.d5.loss_mask: 0.7933, decode.d5.loss_dice: 1.2810, decode.d6.loss_cls: 0.9031, decode.d6.loss_mask: 0.7913, decode.d6.loss_dice: 1.2727, decode.d7.loss_cls: 0.8997, decode.d7.loss_mask: 0.7900, decode.d7.loss_dice: 1.2736, decode.d8.loss_cls: 0.9001, decode.d8.loss_mask: 0.7956, decode.d8.loss_dice: 1.2683, loss: 32.1986 2022-04-29 12:36:05,960 - mmseg - INFO - Iter [31850/80000] lr: 8.642e-07, eta: 1 day, 0:35:28, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8734, decode.loss_mask: 0.7974, decode.loss_dice: 1.2580, decode.d0.loss_cls: 2.7680, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.4312, decode.d1.loss_cls: 0.9564, decode.d1.loss_mask: 0.8190, decode.d1.loss_dice: 1.3357, decode.d2.loss_cls: 0.8981, decode.d2.loss_mask: 0.8091, decode.d2.loss_dice: 1.2947, decode.d3.loss_cls: 0.8849, decode.d3.loss_mask: 0.7993, decode.d3.loss_dice: 1.2723, decode.d4.loss_cls: 0.8728, decode.d4.loss_mask: 0.8027, decode.d4.loss_dice: 1.2628, decode.d5.loss_cls: 0.8770, decode.d5.loss_mask: 0.7994, decode.d5.loss_dice: 1.2597, decode.d6.loss_cls: 0.8709, decode.d6.loss_mask: 0.7937, decode.d6.loss_dice: 1.2559, decode.d7.loss_cls: 0.8685, decode.d7.loss_mask: 0.7936, decode.d7.loss_dice: 1.2528, decode.d8.loss_cls: 0.8665, decode.d8.loss_mask: 0.7967, decode.d8.loss_dice: 1.2635, loss: 31.6209 2022-04-29 12:37:35,542 - mmseg - INFO - Iter [31900/80000] lr: 8.633e-07, eta: 1 day, 0:33:52, time: 1.792, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8812, decode.loss_mask: 0.8045, decode.loss_dice: 1.2519, decode.d0.loss_cls: 2.8204, decode.d0.loss_mask: 0.7989, decode.d0.loss_dice: 1.4254, decode.d1.loss_cls: 0.9583, decode.d1.loss_mask: 0.8264, decode.d1.loss_dice: 1.3455, decode.d2.loss_cls: 0.8962, decode.d2.loss_mask: 0.8156, decode.d2.loss_dice: 1.2964, decode.d3.loss_cls: 0.8877, decode.d3.loss_mask: 0.8122, decode.d3.loss_dice: 1.2752, decode.d4.loss_cls: 0.8784, decode.d4.loss_mask: 0.8126, decode.d4.loss_dice: 1.2719, decode.d5.loss_cls: 0.8817, decode.d5.loss_mask: 0.8064, decode.d5.loss_dice: 1.2629, decode.d6.loss_cls: 0.8717, decode.d6.loss_mask: 0.8058, decode.d6.loss_dice: 1.2528, decode.d7.loss_cls: 0.8745, decode.d7.loss_mask: 0.8062, decode.d7.loss_dice: 1.2576, decode.d8.loss_cls: 0.8739, decode.d8.loss_mask: 0.8030, decode.d8.loss_dice: 1.2574, loss: 31.8126 2022-04-29 12:39:03,693 - mmseg - INFO - Iter [31950/80000] lr: 8.624e-07, eta: 1 day, 0:32:15, time: 1.763, data_time: 0.013, memory: 64979, decode.loss_cls: 0.9204, decode.loss_mask: 0.7873, decode.loss_dice: 1.2582, decode.d0.loss_cls: 2.8357, decode.d0.loss_mask: 0.7938, decode.d0.loss_dice: 1.4654, decode.d1.loss_cls: 1.0032, decode.d1.loss_mask: 0.8180, decode.d1.loss_dice: 1.3652, decode.d2.loss_cls: 0.9597, decode.d2.loss_mask: 0.8003, decode.d2.loss_dice: 1.3036, decode.d3.loss_cls: 0.9414, decode.d3.loss_mask: 0.7924, decode.d3.loss_dice: 1.2795, decode.d4.loss_cls: 0.9352, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.2771, decode.d5.loss_cls: 0.9323, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.2728, decode.d6.loss_cls: 0.9220, decode.d6.loss_mask: 0.7864, decode.d6.loss_dice: 1.2603, decode.d7.loss_cls: 0.9281, decode.d7.loss_mask: 0.7822, decode.d7.loss_dice: 1.2655, decode.d8.loss_cls: 0.9250, decode.d8.loss_mask: 0.7862, decode.d8.loss_dice: 1.2554, loss: 32.2327 2022-04-29 12:40:32,213 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-04-29 12:40:50,633 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 12:40:50,644 - mmseg - INFO - Iter [32000/80000] lr: 8.615e-07, eta: 1 day, 0:31:05, time: 2.137, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8582, decode.loss_mask: 0.8002, decode.loss_dice: 1.2426, decode.d0.loss_cls: 2.8135, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.4151, decode.d1.loss_cls: 0.9460, decode.d1.loss_mask: 0.8306, decode.d1.loss_dice: 1.3346, decode.d2.loss_cls: 0.8915, decode.d2.loss_mask: 0.8118, decode.d2.loss_dice: 1.2806, decode.d3.loss_cls: 0.8730, decode.d3.loss_mask: 0.8024, decode.d3.loss_dice: 1.2581, decode.d4.loss_cls: 0.8667, decode.d4.loss_mask: 0.8029, decode.d4.loss_dice: 1.2530, decode.d5.loss_cls: 0.8672, decode.d5.loss_mask: 0.7966, decode.d5.loss_dice: 1.2489, decode.d6.loss_cls: 0.8590, decode.d6.loss_mask: 0.7967, decode.d6.loss_dice: 1.2418, decode.d7.loss_cls: 0.8601, decode.d7.loss_mask: 0.7977, decode.d7.loss_dice: 1.2420, decode.d8.loss_cls: 0.8539, decode.d8.loss_mask: 0.8008, decode.d8.loss_dice: 1.2452, loss: 31.4823 2022-04-29 12:45:45,184 - mmseg - INFO - per class results: 2022-04-29 12:45:45,211 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.49 | 93.08 | | bicycle | 75.29 | 85.2 | | car | 65.32 | 79.95 | | motorcycle | 84.86 | 89.24 | | airplane | 86.03 | 91.01 | | bus | 85.61 | 90.05 | | train | 87.94 | 94.39 | | truck | 62.07 | 83.45 | | boat | 70.45 | 83.92 | | traffic light | 72.59 | 89.08 | | fire hydrant | 90.94 | 95.28 | | stop sign | 90.81 | 97.95 | | parking meter | 77.69 | 88.18 | | bench | 55.74 | 74.71 | | bird | 85.79 | 91.8 | | cat | 85.41 | 91.02 | | dog | 81.51 | 87.95 | | horse | 85.03 | 93.95 | | sheep | 88.8 | 95.72 | | cow | 88.83 | 93.02 | | elephant | 93.49 | 96.61 | | bear | 92.5 | 94.78 | | zebra | 90.43 | 92.95 | | giraffe | 87.9 | 94.08 | | backpack | 38.79 | 74.92 | | umbrella | 85.4 | 92.63 | | handbag | 42.26 | 64.09 | | tie | 24.42 | 32.41 | | suitcase | 80.41 | 93.4 | | frisbee | 77.84 | 93.35 | | skis | 58.15 | 73.43 | | snowboard | 71.42 | 81.08 | | sports ball | 58.81 | 79.15 | | kite | 78.27 | 87.8 | | baseball bat | 62.39 | 80.87 | | baseball glove | 71.04 | 93.36 | | skateboard | 84.72 | 90.37 | | surfboard | 86.1 | 90.94 | | tennis racket | 87.33 | 92.67 | | bottle | 49.05 | 62.44 | | wine glass | 61.56 | 84.28 | | cup | 65.36 | 79.99 | | fork | 42.36 | 48.84 | | knife | 35.17 | 48.82 | | spoon | 37.75 | 56.53 | | bowl | 50.36 | 73.93 | | banana | 69.4 | 89.55 | | apple | 50.8 | 64.1 | | sandwich | 43.98 | 55.9 | | orange | 70.1 | 77.27 | | broccoli | 48.16 | 56.97 | | carrot | 36.86 | 41.2 | | hot dog | 46.34 | 55.17 | | pizza | 66.61 | 75.73 | | donut | 76.3 | 86.02 | | cake | 71.03 | 81.63 | | chair | 52.4 | 72.17 | | couch | 58.58 | 75.85 | | potted plant | 31.14 | 52.22 | | bed | 66.96 | 83.05 | | dining table | 44.62 | 78.21 | | toilet | 85.15 | 93.77 | | tv | 77.08 | 85.09 | | laptop | 79.01 | 92.59 | | mouse | 79.46 | 91.02 | | remote | 59.32 | 73.97 | | keyboard | 67.01 | 77.73 | | cell phone | 77.33 | 90.34 | | microwave | 73.73 | 82.29 | | oven | 62.42 | 85.19 | | toaster | 48.19 | 49.77 | | sink | 64.18 | 79.87 | | refrigerator | 79.74 | 93.22 | | book | 53.82 | 76.1 | | clock | 71.56 | 82.63 | | vase | 62.59 | 86.0 | | scissors | 80.79 | 86.31 | | teddy bear | 78.72 | 90.74 | | hair drier | 52.27 | 52.87 | | toothbrush | 56.19 | 81.47 | | banner | 32.29 | 72.63 | | blanket | 4.12 | 4.89 | | branch | 18.95 | 37.1 | | bridge | 37.78 | 57.25 | | building-other | 51.23 | 69.41 | | bush | 32.81 | 41.58 | | cabinet | 56.04 | 72.83 | | cage | 27.39 | 49.95 | | cardboard | 48.91 | 62.67 | | carpet | 55.05 | 78.44 | | ceiling-other | 65.96 | 82.77 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 21.62 | 36.69 | | clouds | 46.04 | 59.43 | | counter | 31.47 | 50.65 | | cupboard | 0.0 | 0.0 | | curtain | 67.34 | 79.48 | | desk-stuff | 45.38 | 61.09 | | dirt | 40.08 | 63.37 | | door-stuff | 49.48 | 72.23 | | fence | 30.27 | 49.83 | | floor-marble | 0.0 | 0.0 | | floor-other | 18.97 | 23.51 | | floor-stone | 6.45 | 9.21 | | floor-tile | 61.91 | 75.46 | | floor-wood | 65.51 | 76.16 | | flower | 38.64 | 53.44 | | fog | 5.22 | 6.21 | | food-other | 33.08 | 42.47 | | fruit | 39.16 | 62.73 | | furniture-other | 20.61 | 28.04 | | grass | 70.6 | 83.85 | | gravel | 32.81 | 53.31 | | ground-other | 3.58 | 3.88 | | hill | 20.69 | 34.16 | | house | 25.46 | 32.55 | | leaves | 25.47 | 37.03 | | light | 41.05 | 61.61 | | mat | 0.0 | 0.0 | | metal | 34.51 | 47.66 | | mirror-stuff | 59.34 | 74.79 | | moss | 0.0 | 0.0 | | mountain | 47.29 | 57.22 | | mud | 0.57 | 0.57 | | napkin | 11.41 | 12.55 | | net | 47.0 | 61.13 | | paper | 30.86 | 41.46 | | pavement | 49.8 | 68.31 | | pillow | 16.31 | 26.56 | | plant-other | 22.74 | 48.01 | | plastic | 29.84 | 44.24 | | platform | 28.87 | 44.54 | | playingfield | 69.36 | 90.98 | | railing | 8.45 | 18.09 | | railroad | 59.9 | 77.53 | | river | 44.82 | 64.44 | | road | 63.96 | 84.53 | | rock | 37.95 | 52.82 | | roof | 22.18 | 31.73 | | rug | 34.4 | 47.55 | | salad | 0.0 | 0.0 | | sand | 64.7 | 67.46 | | sea | 85.1 | 93.41 | | shelf | 36.35 | 59.21 | | sky-other | 70.01 | 86.41 | | skyscraper | 39.83 | 58.13 | | snow | 91.51 | 95.46 | | solid-other | 0.0 | 0.0 | | stairs | 28.98 | 65.38 | | stone | 21.37 | 44.48 | | straw | 21.69 | 27.95 | | structural-other | 0.0 | 0.0 | | table | 15.73 | 18.93 | | tent | 9.34 | 11.2 | | textile-other | 16.14 | 32.97 | | towel | 39.11 | 47.25 | | tree | 73.99 | 85.02 | | vegetable | 46.65 | 60.55 | | wall-brick | 50.11 | 70.96 | | wall-concrete | 63.37 | 78.06 | | wall-other | 23.16 | 35.66 | | wall-panel | 1.77 | 1.96 | | wall-stone | 31.63 | 41.39 | | wall-tile | 70.35 | 84.66 | | wall-wood | 42.56 | 60.15 | | water-other | 15.62 | 23.36 | | waterdrops | 0.0 | 0.0 | | window-blind | 50.19 | 64.81 | | window-other | 45.17 | 76.45 | | wood | 28.39 | 41.56 | +------------------+-------+-------+ 2022-04-29 12:45:45,212 - mmseg - INFO - Summary: 2022-04-29 12:45:45,212 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.21 | 49.92 | 62.29 | +-------+-------+-------+ 2022-04-29 12:45:45,235 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_16000.pth was removed 2022-04-29 12:46:04,885 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2022-04-29 12:46:04,888 - mmseg - INFO - Best mIoU is 0.4992 at 32000 iter. 2022-04-29 12:46:04,908 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 12:46:04,908 - mmseg - INFO - Iter(val) [313] aAcc: 0.7221, mIoU: 0.4992, mAcc: 0.6229, IoU.person: 0.8749, IoU.bicycle: 0.7529, IoU.car: 0.6532, IoU.motorcycle: 0.8486, IoU.airplane: 0.8603, IoU.bus: 0.8561, IoU.train: 0.8794, IoU.truck: 0.6207, IoU.boat: 0.7045, IoU.traffic light: 0.7259, IoU.fire hydrant: 0.9094, IoU.stop sign: 0.9081, IoU.parking meter: 0.7769, IoU.bench: 0.5574, IoU.bird: 0.8579, IoU.cat: 0.8541, IoU.dog: 0.8151, IoU.horse: 0.8503, IoU.sheep: 0.8880, IoU.cow: 0.8883, IoU.elephant: 0.9349, IoU.bear: 0.9250, IoU.zebra: 0.9043, IoU.giraffe: 0.8790, IoU.backpack: 0.3879, IoU.umbrella: 0.8540, IoU.handbag: 0.4226, IoU.tie: 0.2442, IoU.suitcase: 0.8041, IoU.frisbee: 0.7784, IoU.skis: 0.5815, IoU.snowboard: 0.7142, IoU.sports ball: 0.5881, IoU.kite: 0.7827, IoU.baseball bat: 0.6239, IoU.baseball glove: 0.7104, IoU.skateboard: 0.8472, IoU.surfboard: 0.8610, IoU.tennis racket: 0.8733, IoU.bottle: 0.4905, IoU.wine glass: 0.6156, IoU.cup: 0.6536, IoU.fork: 0.4236, IoU.knife: 0.3517, IoU.spoon: 0.3775, IoU.bowl: 0.5036, IoU.banana: 0.6940, IoU.apple: 0.5080, IoU.sandwich: 0.4398, IoU.orange: 0.7010, IoU.broccoli: 0.4816, IoU.carrot: 0.3686, IoU.hot dog: 0.4634, IoU.pizza: 0.6661, IoU.donut: 0.7630, IoU.cake: 0.7103, IoU.chair: 0.5240, IoU.couch: 0.5858, IoU.potted plant: 0.3114, IoU.bed: 0.6696, IoU.dining table: 0.4462, IoU.toilet: 0.8515, IoU.tv: 0.7708, IoU.laptop: 0.7901, IoU.mouse: 0.7946, IoU.remote: 0.5932, IoU.keyboard: 0.6701, IoU.cell phone: 0.7733, IoU.microwave: 0.7373, IoU.oven: 0.6242, IoU.toaster: 0.4819, IoU.sink: 0.6418, IoU.refrigerator: 0.7974, IoU.book: 0.5382, IoU.clock: 0.7156, IoU.vase: 0.6259, IoU.scissors: 0.8079, IoU.teddy bear: 0.7872, IoU.hair drier: 0.5227, IoU.toothbrush: 0.5619, IoU.banner: 0.3229, IoU.blanket: 0.0412, IoU.branch: 0.1895, IoU.bridge: 0.3778, IoU.building-other: 0.5123, IoU.bush: 0.3281, IoU.cabinet: 0.5604, IoU.cage: 0.2739, IoU.cardboard: 0.4891, IoU.carpet: 0.5505, IoU.ceiling-other: 0.6596, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2162, IoU.clouds: 0.4604, IoU.counter: 0.3147, IoU.cupboard: 0.0000, IoU.curtain: 0.6734, IoU.desk-stuff: 0.4538, IoU.dirt: 0.4008, IoU.door-stuff: 0.4948, IoU.fence: 0.3027, IoU.floor-marble: 0.0000, IoU.floor-other: 0.1897, IoU.floor-stone: 0.0645, IoU.floor-tile: 0.6191, IoU.floor-wood: 0.6551, IoU.flower: 0.3864, IoU.fog: 0.0522, IoU.food-other: 0.3308, IoU.fruit: 0.3916, IoU.furniture-other: 0.2061, IoU.grass: 0.7060, IoU.gravel: 0.3281, IoU.ground-other: 0.0358, IoU.hill: 0.2069, IoU.house: 0.2546, IoU.leaves: 0.2547, IoU.light: 0.4105, IoU.mat: 0.0000, IoU.metal: 0.3451, IoU.mirror-stuff: 0.5934, IoU.moss: 0.0000, IoU.mountain: 0.4729, IoU.mud: 0.0057, IoU.napkin: 0.1141, IoU.net: 0.4700, IoU.paper: 0.3086, IoU.pavement: 0.4980, IoU.pillow: 0.1631, IoU.plant-other: 0.2274, IoU.plastic: 0.2984, IoU.platform: 0.2887, IoU.playingfield: 0.6936, IoU.railing: 0.0845, IoU.railroad: 0.5990, IoU.river: 0.4482, IoU.road: 0.6396, IoU.rock: 0.3795, IoU.roof: 0.2218, IoU.rug: 0.3440, IoU.salad: 0.0000, IoU.sand: 0.6470, IoU.sea: 0.8510, IoU.shelf: 0.3635, IoU.sky-other: 0.7001, IoU.skyscraper: 0.3983, IoU.snow: 0.9151, IoU.solid-other: 0.0000, IoU.stairs: 0.2898, IoU.stone: 0.2137, IoU.straw: 0.2169, IoU.structural-other: 0.0000, IoU.table: 0.1573, IoU.tent: 0.0934, IoU.textile-other: 0.1614, IoU.towel: 0.3911, IoU.tree: 0.7399, IoU.vegetable: 0.4665, IoU.wall-brick: 0.5011, IoU.wall-concrete: 0.6337, IoU.wall-other: 0.2316, IoU.wall-panel: 0.0177, IoU.wall-stone: 0.3163, IoU.wall-tile: 0.7035, IoU.wall-wood: 0.4256, IoU.water-other: 0.1562, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5019, IoU.window-other: 0.4517, IoU.wood: 0.2839, Acc.person: 0.9308, Acc.bicycle: 0.8520, Acc.car: 0.7995, Acc.motorcycle: 0.8924, Acc.airplane: 0.9101, Acc.bus: 0.9005, Acc.train: 0.9439, Acc.truck: 0.8345, Acc.boat: 0.8392, Acc.traffic light: 0.8908, Acc.fire hydrant: 0.9528, Acc.stop sign: 0.9795, Acc.parking meter: 0.8818, Acc.bench: 0.7471, Acc.bird: 0.9180, Acc.cat: 0.9102, Acc.dog: 0.8795, Acc.horse: 0.9395, Acc.sheep: 0.9572, Acc.cow: 0.9302, Acc.elephant: 0.9661, Acc.bear: 0.9478, Acc.zebra: 0.9295, Acc.giraffe: 0.9408, Acc.backpack: 0.7492, Acc.umbrella: 0.9263, Acc.handbag: 0.6409, Acc.tie: 0.3241, Acc.suitcase: 0.9340, Acc.frisbee: 0.9335, Acc.skis: 0.7343, Acc.snowboard: 0.8108, Acc.sports ball: 0.7915, Acc.kite: 0.8780, Acc.baseball bat: 0.8087, Acc.baseball glove: 0.9336, Acc.skateboard: 0.9037, Acc.surfboard: 0.9094, Acc.tennis racket: 0.9267, Acc.bottle: 0.6244, Acc.wine glass: 0.8428, Acc.cup: 0.7999, Acc.fork: 0.4884, Acc.knife: 0.4882, Acc.spoon: 0.5653, Acc.bowl: 0.7393, Acc.banana: 0.8955, Acc.apple: 0.6410, Acc.sandwich: 0.5590, Acc.orange: 0.7727, Acc.broccoli: 0.5697, Acc.carrot: 0.4120, Acc.hot dog: 0.5517, Acc.pizza: 0.7573, Acc.donut: 0.8602, Acc.cake: 0.8163, Acc.chair: 0.7217, Acc.couch: 0.7585, Acc.potted plant: 0.5222, Acc.bed: 0.8305, Acc.dining table: 0.7821, Acc.toilet: 0.9377, Acc.tv: 0.8509, Acc.laptop: 0.9259, Acc.mouse: 0.9102, Acc.remote: 0.7397, Acc.keyboard: 0.7773, Acc.cell phone: 0.9034, Acc.microwave: 0.8229, Acc.oven: 0.8519, Acc.toaster: 0.4977, Acc.sink: 0.7987, Acc.refrigerator: 0.9322, Acc.book: 0.7610, Acc.clock: 0.8263, Acc.vase: 0.8600, Acc.scissors: 0.8631, Acc.teddy bear: 0.9074, Acc.hair drier: 0.5287, Acc.toothbrush: 0.8147, Acc.banner: 0.7263, Acc.blanket: 0.0489, Acc.branch: 0.3710, Acc.bridge: 0.5725, Acc.building-other: 0.6941, Acc.bush: 0.4158, Acc.cabinet: 0.7283, Acc.cage: 0.4995, Acc.cardboard: 0.6267, Acc.carpet: 0.7844, Acc.ceiling-other: 0.8277, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3669, Acc.clouds: 0.5943, Acc.counter: 0.5065, Acc.cupboard: 0.0000, Acc.curtain: 0.7948, Acc.desk-stuff: 0.6109, Acc.dirt: 0.6337, Acc.door-stuff: 0.7223, Acc.fence: 0.4983, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2351, Acc.floor-stone: 0.0921, Acc.floor-tile: 0.7546, Acc.floor-wood: 0.7616, Acc.flower: 0.5344, Acc.fog: 0.0621, Acc.food-other: 0.4247, Acc.fruit: 0.6273, Acc.furniture-other: 0.2804, Acc.grass: 0.8385, Acc.gravel: 0.5331, Acc.ground-other: 0.0388, Acc.hill: 0.3416, Acc.house: 0.3255, Acc.leaves: 0.3703, Acc.light: 0.6161, Acc.mat: 0.0000, Acc.metal: 0.4766, Acc.mirror-stuff: 0.7479, Acc.moss: 0.0000, Acc.mountain: 0.5722, Acc.mud: 0.0057, Acc.napkin: 0.1255, Acc.net: 0.6113, Acc.paper: 0.4146, Acc.pavement: 0.6831, Acc.pillow: 0.2656, Acc.plant-other: 0.4801, Acc.plastic: 0.4424, Acc.platform: 0.4454, Acc.playingfield: 0.9098, Acc.railing: 0.1809, Acc.railroad: 0.7753, Acc.river: 0.6444, Acc.road: 0.8453, Acc.rock: 0.5282, Acc.roof: 0.3173, Acc.rug: 0.4755, Acc.salad: 0.0000, Acc.sand: 0.6746, Acc.sea: 0.9341, Acc.shelf: 0.5921, Acc.sky-other: 0.8641, Acc.skyscraper: 0.5813, Acc.snow: 0.9546, Acc.solid-other: 0.0000, Acc.stairs: 0.6538, Acc.stone: 0.4448, Acc.straw: 0.2795, Acc.structural-other: 0.0000, Acc.table: 0.1893, Acc.tent: 0.1120, Acc.textile-other: 0.3297, Acc.towel: 0.4725, Acc.tree: 0.8502, Acc.vegetable: 0.6055, Acc.wall-brick: 0.7096, Acc.wall-concrete: 0.7806, Acc.wall-other: 0.3566, Acc.wall-panel: 0.0196, Acc.wall-stone: 0.4139, Acc.wall-tile: 0.8466, Acc.wall-wood: 0.6015, Acc.water-other: 0.2336, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6481, Acc.window-other: 0.7645, Acc.wood: 0.4156 2022-04-29 12:47:33,322 - mmseg - INFO - Iter [32050/80000] lr: 8.606e-07, eta: 1 day, 0:37:18, time: 8.056, data_time: 6.304, memory: 64979, decode.loss_cls: 0.8505, decode.loss_mask: 0.8067, decode.loss_dice: 1.2280, decode.d0.loss_cls: 2.7200, decode.d0.loss_mask: 0.7963, decode.d0.loss_dice: 1.4107, decode.d1.loss_cls: 0.9168, decode.d1.loss_mask: 0.8377, decode.d1.loss_dice: 1.3183, decode.d2.loss_cls: 0.8697, decode.d2.loss_mask: 0.8223, decode.d2.loss_dice: 1.2690, decode.d3.loss_cls: 0.8667, decode.d3.loss_mask: 0.8146, decode.d3.loss_dice: 1.2361, decode.d4.loss_cls: 0.8612, decode.d4.loss_mask: 0.8094, decode.d4.loss_dice: 1.2417, decode.d5.loss_cls: 0.8574, decode.d5.loss_mask: 0.8099, decode.d5.loss_dice: 1.2386, decode.d6.loss_cls: 0.8508, decode.d6.loss_mask: 0.8031, decode.d6.loss_dice: 1.2310, decode.d7.loss_cls: 0.8519, decode.d7.loss_mask: 0.8076, decode.d7.loss_dice: 1.2288, decode.d8.loss_cls: 0.8548, decode.d8.loss_mask: 0.8038, decode.d8.loss_dice: 1.2307, loss: 31.2439 2022-04-29 12:49:02,635 - mmseg - INFO - Iter [32100/80000] lr: 8.597e-07, eta: 1 day, 0:35:41, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8765, decode.loss_mask: 0.7874, decode.loss_dice: 1.2290, decode.d0.loss_cls: 2.8217, decode.d0.loss_mask: 0.7826, decode.d0.loss_dice: 1.4217, decode.d1.loss_cls: 0.9671, decode.d1.loss_mask: 0.8029, decode.d1.loss_dice: 1.3298, decode.d2.loss_cls: 0.8969, decode.d2.loss_mask: 0.7953, decode.d2.loss_dice: 1.2835, decode.d3.loss_cls: 0.8880, decode.d3.loss_mask: 0.7935, decode.d3.loss_dice: 1.2577, decode.d4.loss_cls: 0.8903, decode.d4.loss_mask: 0.7869, decode.d4.loss_dice: 1.2559, decode.d5.loss_cls: 0.8871, decode.d5.loss_mask: 0.7785, decode.d5.loss_dice: 1.2392, decode.d6.loss_cls: 0.8746, decode.d6.loss_mask: 0.7844, decode.d6.loss_dice: 1.2322, decode.d7.loss_cls: 0.8743, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.2377, decode.d8.loss_cls: 0.8759, decode.d8.loss_mask: 0.7822, decode.d8.loss_dice: 1.2290, loss: 31.4478 2022-04-29 12:50:32,153 - mmseg - INFO - Iter [32150/80000] lr: 8.588e-07, eta: 1 day, 0:34:05, time: 1.790, data_time: 0.018, memory: 64979, decode.loss_cls: 0.9009, decode.loss_mask: 0.7684, decode.loss_dice: 1.1983, decode.d0.loss_cls: 2.8222, decode.d0.loss_mask: 0.7626, decode.d0.loss_dice: 1.3848, decode.d1.loss_cls: 0.9710, decode.d1.loss_mask: 0.8016, decode.d1.loss_dice: 1.2928, decode.d2.loss_cls: 0.9186, decode.d2.loss_mask: 0.7840, decode.d2.loss_dice: 1.2456, decode.d3.loss_cls: 0.9038, decode.d3.loss_mask: 0.7791, decode.d3.loss_dice: 1.2197, decode.d4.loss_cls: 0.8985, decode.d4.loss_mask: 0.7772, decode.d4.loss_dice: 1.2173, decode.d5.loss_cls: 0.9007, decode.d5.loss_mask: 0.7773, decode.d5.loss_dice: 1.2138, decode.d6.loss_cls: 0.8955, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.1960, decode.d7.loss_cls: 0.8994, decode.d7.loss_mask: 0.7686, decode.d7.loss_dice: 1.2039, decode.d8.loss_cls: 0.8952, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.2043, loss: 31.1382 2022-04-29 12:52:01,334 - mmseg - INFO - Iter [32200/80000] lr: 8.579e-07, eta: 1 day, 0:32:27, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8725, decode.loss_mask: 0.7845, decode.loss_dice: 1.1896, decode.d0.loss_cls: 2.7936, decode.d0.loss_mask: 0.7806, decode.d0.loss_dice: 1.3809, decode.d1.loss_cls: 0.9549, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2862, decode.d2.loss_cls: 0.8996, decode.d2.loss_mask: 0.7933, decode.d2.loss_dice: 1.2418, decode.d3.loss_cls: 0.8806, decode.d3.loss_mask: 0.7883, decode.d3.loss_dice: 1.2102, decode.d4.loss_cls: 0.8785, decode.d4.loss_mask: 0.7834, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 0.8735, decode.d5.loss_mask: 0.7839, decode.d5.loss_dice: 1.2030, decode.d6.loss_cls: 0.8742, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.1915, decode.d7.loss_cls: 0.8730, decode.d7.loss_mask: 0.7787, decode.d7.loss_dice: 1.1904, decode.d8.loss_cls: 0.8681, decode.d8.loss_mask: 0.7787, decode.d8.loss_dice: 1.1901, loss: 30.9178 2022-04-29 12:53:29,757 - mmseg - INFO - Iter [32250/80000] lr: 8.570e-07, eta: 1 day, 0:30:49, time: 1.768, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8879, decode.loss_mask: 0.7703, decode.loss_dice: 1.2118, decode.d0.loss_cls: 2.8144, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.4141, decode.d1.loss_cls: 0.9858, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.3143, decode.d2.loss_cls: 0.9195, decode.d2.loss_mask: 0.7806, decode.d2.loss_dice: 1.2572, decode.d3.loss_cls: 0.9047, decode.d3.loss_mask: 0.7733, decode.d3.loss_dice: 1.2257, decode.d4.loss_cls: 0.8941, decode.d4.loss_mask: 0.7768, decode.d4.loss_dice: 1.2330, decode.d5.loss_cls: 0.8919, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.2247, decode.d6.loss_cls: 0.8938, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.2059, decode.d7.loss_cls: 0.8902, decode.d7.loss_mask: 0.7700, decode.d7.loss_dice: 1.2105, decode.d8.loss_cls: 0.8867, decode.d8.loss_mask: 0.7703, decode.d8.loss_dice: 1.2145, loss: 31.2441 2022-04-29 12:54:58,096 - mmseg - INFO - Iter [32300/80000] lr: 8.561e-07, eta: 1 day, 0:29:11, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8668, decode.loss_mask: 0.7892, decode.loss_dice: 1.2352, decode.d0.loss_cls: 2.8046, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.4277, decode.d1.loss_cls: 0.9568, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.3195, decode.d2.loss_cls: 0.9039, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.2727, decode.d3.loss_cls: 0.8896, decode.d3.loss_mask: 0.7901, decode.d3.loss_dice: 1.2478, decode.d4.loss_cls: 0.8765, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2493, decode.d5.loss_cls: 0.8732, decode.d5.loss_mask: 0.7942, decode.d5.loss_dice: 1.2495, decode.d6.loss_cls: 0.8639, decode.d6.loss_mask: 0.7925, decode.d6.loss_dice: 1.2391, decode.d7.loss_cls: 0.8638, decode.d7.loss_mask: 0.7890, decode.d7.loss_dice: 1.2397, decode.d8.loss_cls: 0.8600, decode.d8.loss_mask: 0.7906, decode.d8.loss_dice: 1.2416, loss: 31.4087 2022-04-29 12:56:26,309 - mmseg - INFO - Iter [32350/80000] lr: 8.552e-07, eta: 1 day, 0:27:32, time: 1.763, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8506, decode.loss_mask: 0.8000, decode.loss_dice: 1.2333, decode.d0.loss_cls: 2.7475, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.4140, decode.d1.loss_cls: 0.9372, decode.d1.loss_mask: 0.8241, decode.d1.loss_dice: 1.3181, decode.d2.loss_cls: 0.8763, decode.d2.loss_mask: 0.8090, decode.d2.loss_dice: 1.2692, decode.d3.loss_cls: 0.8627, decode.d3.loss_mask: 0.8046, decode.d3.loss_dice: 1.2443, decode.d4.loss_cls: 0.8522, decode.d4.loss_mask: 0.8031, decode.d4.loss_dice: 1.2420, decode.d5.loss_cls: 0.8439, decode.d5.loss_mask: 0.8006, decode.d5.loss_dice: 1.2445, decode.d6.loss_cls: 0.8471, decode.d6.loss_mask: 0.7966, decode.d6.loss_dice: 1.2231, decode.d7.loss_cls: 0.8430, decode.d7.loss_mask: 0.8018, decode.d7.loss_dice: 1.2319, decode.d8.loss_cls: 0.8452, decode.d8.loss_mask: 0.8007, decode.d8.loss_dice: 1.2313, loss: 31.1878 2022-04-29 12:57:55,058 - mmseg - INFO - Iter [32400/80000] lr: 8.543e-07, eta: 1 day, 0:25:54, time: 1.777, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8609, decode.loss_mask: 0.7966, decode.loss_dice: 1.2363, decode.d0.loss_cls: 2.7698, decode.d0.loss_mask: 0.7962, decode.d0.loss_dice: 1.4181, decode.d1.loss_cls: 0.9448, decode.d1.loss_mask: 0.8223, decode.d1.loss_dice: 1.3165, decode.d2.loss_cls: 0.8854, decode.d2.loss_mask: 0.8127, decode.d2.loss_dice: 1.2671, decode.d3.loss_cls: 0.8700, decode.d3.loss_mask: 0.8016, decode.d3.loss_dice: 1.2449, decode.d4.loss_cls: 0.8594, decode.d4.loss_mask: 0.8007, decode.d4.loss_dice: 1.2506, decode.d5.loss_cls: 0.8581, decode.d5.loss_mask: 0.8019, decode.d5.loss_dice: 1.2446, decode.d6.loss_cls: 0.8585, decode.d6.loss_mask: 0.7940, decode.d6.loss_dice: 1.2338, decode.d7.loss_cls: 0.8637, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.2347, decode.d8.loss_cls: 0.8574, decode.d8.loss_mask: 0.7950, decode.d8.loss_dice: 1.2376, loss: 31.3282 2022-04-29 12:59:23,600 - mmseg - INFO - Iter [32450/80000] lr: 8.534e-07, eta: 1 day, 0:24:16, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8637, decode.loss_mask: 0.7879, decode.loss_dice: 1.2096, decode.d0.loss_cls: 2.8167, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.4023, decode.d1.loss_cls: 0.9435, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.3021, decode.d2.loss_cls: 0.8880, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.2489, decode.d3.loss_cls: 0.8821, decode.d3.loss_mask: 0.7951, decode.d3.loss_dice: 1.2266, decode.d4.loss_cls: 0.8750, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.2286, decode.d5.loss_cls: 0.8729, decode.d5.loss_mask: 0.7922, decode.d5.loss_dice: 1.2194, decode.d6.loss_cls: 0.8726, decode.d6.loss_mask: 0.7886, decode.d6.loss_dice: 1.2160, decode.d7.loss_cls: 0.8678, decode.d7.loss_mask: 0.7924, decode.d7.loss_dice: 1.2068, decode.d8.loss_cls: 0.8646, decode.d8.loss_mask: 0.7922, decode.d8.loss_dice: 1.2115, loss: 31.1623 2022-04-29 13:00:52,344 - mmseg - INFO - Iter [32500/80000] lr: 8.525e-07, eta: 1 day, 0:22:39, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8635, decode.loss_mask: 0.8019, decode.loss_dice: 1.2399, decode.d0.loss_cls: 2.8049, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.4173, decode.d1.loss_cls: 0.9687, decode.d1.loss_mask: 0.8315, decode.d1.loss_dice: 1.3273, decode.d2.loss_cls: 0.8973, decode.d2.loss_mask: 0.8217, decode.d2.loss_dice: 1.2869, decode.d3.loss_cls: 0.8834, decode.d3.loss_mask: 0.8085, decode.d3.loss_dice: 1.2613, decode.d4.loss_cls: 0.8773, decode.d4.loss_mask: 0.8115, decode.d4.loss_dice: 1.2585, decode.d5.loss_cls: 0.8696, decode.d5.loss_mask: 0.8126, decode.d5.loss_dice: 1.2510, decode.d6.loss_cls: 0.8684, decode.d6.loss_mask: 0.8061, decode.d6.loss_dice: 1.2405, decode.d7.loss_cls: 0.8711, decode.d7.loss_mask: 0.8019, decode.d7.loss_dice: 1.2455, decode.d8.loss_cls: 0.8610, decode.d8.loss_mask: 0.8066, decode.d8.loss_dice: 1.2449, loss: 31.6373 2022-04-29 13:02:21,358 - mmseg - INFO - Iter [32550/80000] lr: 8.516e-07, eta: 1 day, 0:21:01, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8576, decode.loss_mask: 0.8219, decode.loss_dice: 1.2271, decode.d0.loss_cls: 2.7379, decode.d0.loss_mask: 0.8125, decode.d0.loss_dice: 1.4196, decode.d1.loss_cls: 0.9471, decode.d1.loss_mask: 0.8476, decode.d1.loss_dice: 1.3211, decode.d2.loss_cls: 0.8864, decode.d2.loss_mask: 0.8341, decode.d2.loss_dice: 1.2755, decode.d3.loss_cls: 0.8687, decode.d3.loss_mask: 0.8249, decode.d3.loss_dice: 1.2472, decode.d4.loss_cls: 0.8693, decode.d4.loss_mask: 0.8252, decode.d4.loss_dice: 1.2448, decode.d5.loss_cls: 0.8614, decode.d5.loss_mask: 0.8273, decode.d5.loss_dice: 1.2457, decode.d6.loss_cls: 0.8594, decode.d6.loss_mask: 0.8202, decode.d6.loss_dice: 1.2384, decode.d7.loss_cls: 0.8523, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.2338, decode.d8.loss_cls: 0.8523, decode.d8.loss_mask: 0.8243, decode.d8.loss_dice: 1.2390, loss: 31.5464 2022-04-29 13:03:50,442 - mmseg - INFO - Iter [32600/80000] lr: 8.507e-07, eta: 1 day, 0:19:24, time: 1.782, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8602, decode.loss_mask: 0.7932, decode.loss_dice: 1.2308, decode.d0.loss_cls: 2.8098, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.4080, decode.d1.loss_cls: 0.9493, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.3154, decode.d2.loss_cls: 0.8975, decode.d2.loss_mask: 0.8054, decode.d2.loss_dice: 1.2729, decode.d3.loss_cls: 0.8710, decode.d3.loss_mask: 0.7974, decode.d3.loss_dice: 1.2430, decode.d4.loss_cls: 0.8695, decode.d4.loss_mask: 0.7989, decode.d4.loss_dice: 1.2418, decode.d5.loss_cls: 0.8623, decode.d5.loss_mask: 0.7937, decode.d5.loss_dice: 1.2432, decode.d6.loss_cls: 0.8668, decode.d6.loss_mask: 0.7909, decode.d6.loss_dice: 1.2310, decode.d7.loss_cls: 0.8621, decode.d7.loss_mask: 0.7939, decode.d7.loss_dice: 1.2299, decode.d8.loss_cls: 0.8575, decode.d8.loss_mask: 0.7910, decode.d8.loss_dice: 1.2310, loss: 31.3183 2022-04-29 13:05:19,661 - mmseg - INFO - Iter [32650/80000] lr: 8.498e-07, eta: 1 day, 0:17:47, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8894, decode.loss_mask: 0.7921, decode.loss_dice: 1.2468, decode.d0.loss_cls: 2.8417, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.4470, decode.d1.loss_cls: 0.9858, decode.d1.loss_mask: 0.8282, decode.d1.loss_dice: 1.3448, decode.d2.loss_cls: 0.9246, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.2903, decode.d3.loss_cls: 0.9130, decode.d3.loss_mask: 0.7960, decode.d3.loss_dice: 1.2776, decode.d4.loss_cls: 0.9014, decode.d4.loss_mask: 0.7956, decode.d4.loss_dice: 1.2660, decode.d5.loss_cls: 0.8961, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.2650, decode.d6.loss_cls: 0.8973, decode.d6.loss_mask: 0.7875, decode.d6.loss_dice: 1.2488, decode.d7.loss_cls: 0.8928, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.2491, decode.d8.loss_cls: 0.8911, decode.d8.loss_mask: 0.7929, decode.d8.loss_dice: 1.2491, loss: 31.8844 2022-04-29 13:06:48,529 - mmseg - INFO - Iter [32700/80000] lr: 8.489e-07, eta: 1 day, 0:16:10, time: 1.777, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8954, decode.loss_mask: 0.7856, decode.loss_dice: 1.2316, decode.d0.loss_cls: 2.8125, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.4334, decode.d1.loss_cls: 0.9727, decode.d1.loss_mask: 0.8276, decode.d1.loss_dice: 1.3292, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.8036, decode.d2.loss_dice: 1.2842, decode.d3.loss_cls: 0.9100, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2556, decode.d4.loss_cls: 0.9007, decode.d4.loss_mask: 0.7978, decode.d4.loss_dice: 1.2548, decode.d5.loss_cls: 0.8934, decode.d5.loss_mask: 0.7914, decode.d5.loss_dice: 1.2528, decode.d6.loss_cls: 0.8908, decode.d6.loss_mask: 0.7868, decode.d6.loss_dice: 1.2375, decode.d7.loss_cls: 0.8954, decode.d7.loss_mask: 0.7875, decode.d7.loss_dice: 1.2337, decode.d8.loss_cls: 0.8900, decode.d8.loss_mask: 0.7822, decode.d8.loss_dice: 1.2348, loss: 31.6879 2022-04-29 13:08:17,052 - mmseg - INFO - Iter [32750/80000] lr: 8.480e-07, eta: 1 day, 0:14:32, time: 1.770, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9007, decode.loss_mask: 0.8149, decode.loss_dice: 1.2622, decode.d0.loss_cls: 2.8359, decode.d0.loss_mask: 0.8110, decode.d0.loss_dice: 1.4662, decode.d1.loss_cls: 1.0049, decode.d1.loss_mask: 0.8498, decode.d1.loss_dice: 1.3671, decode.d2.loss_cls: 0.9452, decode.d2.loss_mask: 0.8260, decode.d2.loss_dice: 1.3033, decode.d3.loss_cls: 0.9228, decode.d3.loss_mask: 0.8167, decode.d3.loss_dice: 1.2753, decode.d4.loss_cls: 0.9163, decode.d4.loss_mask: 0.8177, decode.d4.loss_dice: 1.2749, decode.d5.loss_cls: 0.9111, decode.d5.loss_mask: 0.8178, decode.d5.loss_dice: 1.2812, decode.d6.loss_cls: 0.9057, decode.d6.loss_mask: 0.8164, decode.d6.loss_dice: 1.2541, decode.d7.loss_cls: 0.9058, decode.d7.loss_mask: 0.8151, decode.d7.loss_dice: 1.2640, decode.d8.loss_cls: 0.9024, decode.d8.loss_mask: 0.8175, decode.d8.loss_dice: 1.2661, loss: 32.3683 2022-04-29 13:09:45,007 - mmseg - INFO - Iter [32800/80000] lr: 8.471e-07, eta: 1 day, 0:12:53, time: 1.759, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8819, decode.loss_mask: 0.7852, decode.loss_dice: 1.2369, decode.d0.loss_cls: 2.8486, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.4222, decode.d1.loss_cls: 0.9709, decode.d1.loss_mask: 0.8095, decode.d1.loss_dice: 1.3346, decode.d2.loss_cls: 0.9190, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2803, decode.d3.loss_cls: 0.9010, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2592, decode.d4.loss_cls: 0.8879, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.2556, decode.d5.loss_cls: 0.8800, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.8784, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.2397, decode.d7.loss_cls: 0.8774, decode.d7.loss_mask: 0.7837, decode.d7.loss_dice: 1.2367, decode.d8.loss_cls: 0.8748, decode.d8.loss_mask: 0.7848, decode.d8.loss_dice: 1.2389, loss: 31.5768 2022-04-29 13:11:13,392 - mmseg - INFO - Iter [32850/80000] lr: 8.462e-07, eta: 1 day, 0:11:15, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8809, decode.loss_mask: 0.7851, decode.loss_dice: 1.2197, decode.d0.loss_cls: 2.7784, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.4179, decode.d1.loss_cls: 0.9800, decode.d1.loss_mask: 0.8093, decode.d1.loss_dice: 1.3208, decode.d2.loss_cls: 0.9181, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2662, decode.d3.loss_cls: 0.8921, decode.d3.loss_mask: 0.7919, decode.d3.loss_dice: 1.2459, decode.d4.loss_cls: 0.8853, decode.d4.loss_mask: 0.7921, decode.d4.loss_dice: 1.2380, decode.d5.loss_cls: 0.8875, decode.d5.loss_mask: 0.7906, decode.d5.loss_dice: 1.2346, decode.d6.loss_cls: 0.8814, decode.d6.loss_mask: 0.7873, decode.d6.loss_dice: 1.2238, decode.d7.loss_cls: 0.8776, decode.d7.loss_mask: 0.7861, decode.d7.loss_dice: 1.2258, decode.d8.loss_cls: 0.8797, decode.d8.loss_mask: 0.7841, decode.d8.loss_dice: 1.2206, loss: 31.3811 2022-04-29 13:12:42,581 - mmseg - INFO - Iter [32900/80000] lr: 8.453e-07, eta: 1 day, 0:09:38, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8473, decode.loss_mask: 0.8022, decode.loss_dice: 1.2383, decode.d0.loss_cls: 2.7663, decode.d0.loss_mask: 0.7829, decode.d0.loss_dice: 1.4055, decode.d1.loss_cls: 0.9364, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.3163, decode.d2.loss_cls: 0.8704, decode.d2.loss_mask: 0.8110, decode.d2.loss_dice: 1.2720, decode.d3.loss_cls: 0.8605, decode.d3.loss_mask: 0.8030, decode.d3.loss_dice: 1.2486, decode.d4.loss_cls: 0.8462, decode.d4.loss_mask: 0.8020, decode.d4.loss_dice: 1.2489, decode.d5.loss_cls: 0.8542, decode.d5.loss_mask: 0.7989, decode.d5.loss_dice: 1.2451, decode.d6.loss_cls: 0.8423, decode.d6.loss_mask: 0.7936, decode.d6.loss_dice: 1.2395, decode.d7.loss_cls: 0.8400, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.2423, decode.d8.loss_cls: 0.8470, decode.d8.loss_mask: 0.7964, decode.d8.loss_dice: 1.2377, loss: 31.2093 2022-04-29 13:14:10,351 - mmseg - INFO - Iter [32950/80000] lr: 8.444e-07, eta: 1 day, 0:07:59, time: 1.756, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8447, decode.loss_mask: 0.7554, decode.loss_dice: 1.2360, decode.d0.loss_cls: 2.7834, decode.d0.loss_mask: 0.7564, decode.d0.loss_dice: 1.4113, decode.d1.loss_cls: 0.9324, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.3238, decode.d2.loss_cls: 0.8772, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2665, decode.d3.loss_cls: 0.8661, decode.d3.loss_mask: 0.7610, decode.d3.loss_dice: 1.2417, decode.d4.loss_cls: 0.8588, decode.d4.loss_mask: 0.7547, decode.d4.loss_dice: 1.2409, decode.d5.loss_cls: 0.8530, decode.d5.loss_mask: 0.7517, decode.d5.loss_dice: 1.2315, decode.d6.loss_cls: 0.8427, decode.d6.loss_mask: 0.7533, decode.d6.loss_dice: 1.2270, decode.d7.loss_cls: 0.8447, decode.d7.loss_mask: 0.7567, decode.d7.loss_dice: 1.2332, decode.d8.loss_cls: 0.8441, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.2326, loss: 30.7911 2022-04-29 13:15:39,380 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-04-29 13:15:57,608 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 13:15:57,616 - mmseg - INFO - Iter [33000/80000] lr: 8.435e-07, eta: 1 day, 0:06:48, time: 2.143, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8388, decode.loss_mask: 0.8117, decode.loss_dice: 1.2309, decode.d0.loss_cls: 2.7060, decode.d0.loss_mask: 0.8004, decode.d0.loss_dice: 1.4080, decode.d1.loss_cls: 0.9209, decode.d1.loss_mask: 0.8336, decode.d1.loss_dice: 1.3194, decode.d2.loss_cls: 0.8766, decode.d2.loss_mask: 0.8180, decode.d2.loss_dice: 1.2728, decode.d3.loss_cls: 0.8549, decode.d3.loss_mask: 0.8164, decode.d3.loss_dice: 1.2449, decode.d4.loss_cls: 0.8516, decode.d4.loss_mask: 0.8141, decode.d4.loss_dice: 1.2415, decode.d5.loss_cls: 0.8448, decode.d5.loss_mask: 0.8137, decode.d5.loss_dice: 1.2302, decode.d6.loss_cls: 0.8343, decode.d6.loss_mask: 0.8068, decode.d6.loss_dice: 1.2274, decode.d7.loss_cls: 0.8353, decode.d7.loss_mask: 0.8025, decode.d7.loss_dice: 1.2260, decode.d8.loss_cls: 0.8417, decode.d8.loss_mask: 0.8072, decode.d8.loss_dice: 1.2284, loss: 31.1590 2022-04-29 13:17:26,299 - mmseg - INFO - Iter [33050/80000] lr: 8.427e-07, eta: 1 day, 0:05:11, time: 1.776, data_time: 0.019, memory: 64979, decode.loss_cls: 0.8353, decode.loss_mask: 0.7581, decode.loss_dice: 1.1994, decode.d0.loss_cls: 2.7458, decode.d0.loss_mask: 0.7632, decode.d0.loss_dice: 1.3832, decode.d1.loss_cls: 0.9163, decode.d1.loss_mask: 0.7902, decode.d1.loss_dice: 1.3033, decode.d2.loss_cls: 0.8600, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2374, decode.d3.loss_cls: 0.8433, decode.d3.loss_mask: 0.7684, decode.d3.loss_dice: 1.2158, decode.d4.loss_cls: 0.8365, decode.d4.loss_mask: 0.7680, decode.d4.loss_dice: 1.2092, decode.d5.loss_cls: 0.8310, decode.d5.loss_mask: 0.7610, decode.d5.loss_dice: 1.2134, decode.d6.loss_cls: 0.8315, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.1994, decode.d7.loss_cls: 0.8357, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1990, decode.d8.loss_cls: 0.8260, decode.d8.loss_mask: 0.7578, decode.d8.loss_dice: 1.2013, loss: 30.3704 2022-04-29 13:18:55,662 - mmseg - INFO - Iter [33100/80000] lr: 8.418e-07, eta: 1 day, 0:03:34, time: 1.787, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8726, decode.loss_mask: 0.7966, decode.loss_dice: 1.2518, decode.d0.loss_cls: 2.7580, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.4373, decode.d1.loss_cls: 0.9502, decode.d1.loss_mask: 0.8270, decode.d1.loss_dice: 1.3432, decode.d2.loss_cls: 0.9064, decode.d2.loss_mask: 0.8112, decode.d2.loss_dice: 1.2878, decode.d3.loss_cls: 0.8839, decode.d3.loss_mask: 0.7997, decode.d3.loss_dice: 1.2648, decode.d4.loss_cls: 0.8798, decode.d4.loss_mask: 0.8013, decode.d4.loss_dice: 1.2648, decode.d5.loss_cls: 0.8802, decode.d5.loss_mask: 0.7970, decode.d5.loss_dice: 1.2629, decode.d6.loss_cls: 0.8728, decode.d6.loss_mask: 0.7972, decode.d6.loss_dice: 1.2481, decode.d7.loss_cls: 0.8709, decode.d7.loss_mask: 0.7942, decode.d7.loss_dice: 1.2454, decode.d8.loss_cls: 0.8755, decode.d8.loss_mask: 0.7922, decode.d8.loss_dice: 1.2497, loss: 31.6053 2022-04-29 13:20:24,515 - mmseg - INFO - Iter [33150/80000] lr: 8.409e-07, eta: 1 day, 0:01:57, time: 1.776, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8597, decode.loss_mask: 0.7696, decode.loss_dice: 1.1981, decode.d0.loss_cls: 2.7898, decode.d0.loss_mask: 0.7759, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 0.9489, decode.d1.loss_mask: 0.8064, decode.d1.loss_dice: 1.2951, decode.d2.loss_cls: 0.8975, decode.d2.loss_mask: 0.7885, decode.d2.loss_dice: 1.2428, decode.d3.loss_cls: 0.8823, decode.d3.loss_mask: 0.7800, decode.d3.loss_dice: 1.2231, decode.d4.loss_cls: 0.8725, decode.d4.loss_mask: 0.7791, decode.d4.loss_dice: 1.2192, decode.d5.loss_cls: 0.8680, decode.d5.loss_mask: 0.7787, decode.d5.loss_dice: 1.2072, decode.d6.loss_cls: 0.8624, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.2009, decode.d7.loss_cls: 0.8608, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.2073, decode.d8.loss_cls: 0.8671, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.2054, loss: 30.8922 2022-04-29 13:21:53,788 - mmseg - INFO - Iter [33200/80000] lr: 8.400e-07, eta: 1 day, 0:00:20, time: 1.785, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8782, decode.loss_mask: 0.8032, decode.loss_dice: 1.2172, decode.d0.loss_cls: 2.7874, decode.d0.loss_mask: 0.8125, decode.d0.loss_dice: 1.4150, decode.d1.loss_cls: 0.9598, decode.d1.loss_mask: 0.8417, decode.d1.loss_dice: 1.3241, decode.d2.loss_cls: 0.9092, decode.d2.loss_mask: 0.8208, decode.d2.loss_dice: 1.2726, decode.d3.loss_cls: 0.8935, decode.d3.loss_mask: 0.8117, decode.d3.loss_dice: 1.2384, decode.d4.loss_cls: 0.8849, decode.d4.loss_mask: 0.8133, decode.d4.loss_dice: 1.2294, decode.d5.loss_cls: 0.8826, decode.d5.loss_mask: 0.8065, decode.d5.loss_dice: 1.2341, decode.d6.loss_cls: 0.8744, decode.d6.loss_mask: 0.8048, decode.d6.loss_dice: 1.2196, decode.d7.loss_cls: 0.8752, decode.d7.loss_mask: 0.8048, decode.d7.loss_dice: 1.2224, decode.d8.loss_cls: 0.8771, decode.d8.loss_mask: 0.8081, decode.d8.loss_dice: 1.2240, loss: 31.5464 2022-04-29 13:23:23,132 - mmseg - INFO - Iter [33250/80000] lr: 8.391e-07, eta: 23:58:44, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8441, decode.loss_mask: 0.7792, decode.loss_dice: 1.2124, decode.d0.loss_cls: 2.7440, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.4075, decode.d1.loss_cls: 0.9249, decode.d1.loss_mask: 0.8098, decode.d1.loss_dice: 1.3197, decode.d2.loss_cls: 0.8750, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.2602, decode.d3.loss_cls: 0.8636, decode.d3.loss_mask: 0.7822, decode.d3.loss_dice: 1.2346, decode.d4.loss_cls: 0.8596, decode.d4.loss_mask: 0.7771, decode.d4.loss_dice: 1.2342, decode.d5.loss_cls: 0.8500, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.2305, decode.d6.loss_cls: 0.8462, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.2152, decode.d7.loss_cls: 0.8432, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.2289, decode.d8.loss_cls: 0.8464, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.2135, loss: 30.8653 2022-04-29 13:24:51,870 - mmseg - INFO - Iter [33300/80000] lr: 8.382e-07, eta: 23:57:06, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8953, decode.loss_mask: 0.7837, decode.loss_dice: 1.2626, decode.d0.loss_cls: 2.8452, decode.d0.loss_mask: 0.7814, decode.d0.loss_dice: 1.4460, decode.d1.loss_cls: 0.9768, decode.d1.loss_mask: 0.8131, decode.d1.loss_dice: 1.3513, decode.d2.loss_cls: 0.9260, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.3069, decode.d3.loss_cls: 0.9090, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2724, decode.d4.loss_cls: 0.9016, decode.d4.loss_mask: 0.7941, decode.d4.loss_dice: 1.2732, decode.d5.loss_cls: 0.9028, decode.d5.loss_mask: 0.7874, decode.d5.loss_dice: 1.2692, decode.d6.loss_cls: 0.8937, decode.d6.loss_mask: 0.7877, decode.d6.loss_dice: 1.2610, decode.d7.loss_cls: 0.8948, decode.d7.loss_mask: 0.7851, decode.d7.loss_dice: 1.2676, decode.d8.loss_cls: 0.8864, decode.d8.loss_mask: 0.7873, decode.d8.loss_dice: 1.2674, loss: 31.9165 2022-04-29 13:26:20,170 - mmseg - INFO - Iter [33350/80000] lr: 8.373e-07, eta: 23:55:29, time: 1.766, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8644, decode.loss_mask: 0.7776, decode.loss_dice: 1.1856, decode.d0.loss_cls: 2.7741, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.3765, decode.d1.loss_cls: 0.9603, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.2848, decode.d2.loss_cls: 0.8862, decode.d2.loss_mask: 0.7906, decode.d2.loss_dice: 1.2365, decode.d3.loss_cls: 0.8737, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.2164, decode.d4.loss_cls: 0.8689, decode.d4.loss_mask: 0.7838, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8687, decode.d5.loss_mask: 0.7810, decode.d5.loss_dice: 1.2083, decode.d6.loss_cls: 0.8644, decode.d6.loss_mask: 0.7765, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.8601, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.1961, decode.d8.loss_cls: 0.8626, decode.d8.loss_mask: 0.7762, decode.d8.loss_dice: 1.1881, loss: 30.8096 2022-04-29 13:27:49,108 - mmseg - INFO - Iter [33400/80000] lr: 8.364e-07, eta: 23:53:52, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8706, decode.loss_mask: 0.7999, decode.loss_dice: 1.2088, decode.d0.loss_cls: 2.7737, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.4007, decode.d1.loss_cls: 0.9653, decode.d1.loss_mask: 0.8342, decode.d1.loss_dice: 1.3125, decode.d2.loss_cls: 0.9019, decode.d2.loss_mask: 0.8180, decode.d2.loss_dice: 1.2749, decode.d3.loss_cls: 0.8790, decode.d3.loss_mask: 0.8112, decode.d3.loss_dice: 1.2485, decode.d4.loss_cls: 0.8741, decode.d4.loss_mask: 0.8078, decode.d4.loss_dice: 1.2413, decode.d5.loss_cls: 0.8795, decode.d5.loss_mask: 0.8058, decode.d5.loss_dice: 1.2301, decode.d6.loss_cls: 0.8742, decode.d6.loss_mask: 0.8025, decode.d6.loss_dice: 1.2212, decode.d7.loss_cls: 0.8698, decode.d7.loss_mask: 0.8026, decode.d7.loss_dice: 1.2240, decode.d8.loss_cls: 0.8729, decode.d8.loss_mask: 0.8011, decode.d8.loss_dice: 1.2208, loss: 31.4299 2022-04-29 13:29:18,116 - mmseg - INFO - Iter [33450/80000] lr: 8.355e-07, eta: 23:52:15, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8333, decode.loss_mask: 0.8008, decode.loss_dice: 1.2503, decode.d0.loss_cls: 2.7280, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.4265, decode.d1.loss_cls: 0.9071, decode.d1.loss_mask: 0.8309, decode.d1.loss_dice: 1.3444, decode.d2.loss_cls: 0.8555, decode.d2.loss_mask: 0.8186, decode.d2.loss_dice: 1.2955, decode.d3.loss_cls: 0.8437, decode.d3.loss_mask: 0.8133, decode.d3.loss_dice: 1.2696, decode.d4.loss_cls: 0.8289, decode.d4.loss_mask: 0.8107, decode.d4.loss_dice: 1.2724, decode.d5.loss_cls: 0.8355, decode.d5.loss_mask: 0.8040, decode.d5.loss_dice: 1.2600, decode.d6.loss_cls: 0.8284, decode.d6.loss_mask: 0.8041, decode.d6.loss_dice: 1.2409, decode.d7.loss_cls: 0.8296, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2434, decode.d8.loss_cls: 0.8220, decode.d8.loss_mask: 0.8042, decode.d8.loss_dice: 1.2421, loss: 31.2366 2022-04-29 13:30:47,079 - mmseg - INFO - Iter [33500/80000] lr: 8.346e-07, eta: 23:50:38, time: 1.779, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8671, decode.loss_mask: 0.7792, decode.loss_dice: 1.2335, decode.d0.loss_cls: 2.7667, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.4114, decode.d1.loss_cls: 0.9580, decode.d1.loss_mask: 0.8125, decode.d1.loss_dice: 1.3185, decode.d2.loss_cls: 0.9016, decode.d2.loss_mask: 0.7949, decode.d2.loss_dice: 1.2725, decode.d3.loss_cls: 0.8795, decode.d3.loss_mask: 0.7881, decode.d3.loss_dice: 1.2475, decode.d4.loss_cls: 0.8771, decode.d4.loss_mask: 0.7865, decode.d4.loss_dice: 1.2504, decode.d5.loss_cls: 0.8803, decode.d5.loss_mask: 0.7802, decode.d5.loss_dice: 1.2435, decode.d6.loss_cls: 0.8768, decode.d6.loss_mask: 0.7782, decode.d6.loss_dice: 1.2288, decode.d7.loss_cls: 0.8636, decode.d7.loss_mask: 0.7811, decode.d7.loss_dice: 1.2342, decode.d8.loss_cls: 0.8716, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.2308, loss: 31.2789 2022-04-29 13:32:14,750 - mmseg - INFO - Iter [33550/80000] lr: 8.337e-07, eta: 23:48:59, time: 1.754, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8624, decode.loss_mask: 0.7749, decode.loss_dice: 1.2117, decode.d0.loss_cls: 2.8075, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.4156, decode.d1.loss_cls: 0.9477, decode.d1.loss_mask: 0.8034, decode.d1.loss_dice: 1.3165, decode.d2.loss_cls: 0.8950, decode.d2.loss_mask: 0.7910, decode.d2.loss_dice: 1.2566, decode.d3.loss_cls: 0.8778, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2338, decode.d4.loss_cls: 0.8706, decode.d4.loss_mask: 0.7831, decode.d4.loss_dice: 1.2308, decode.d5.loss_cls: 0.8686, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.2281, decode.d6.loss_cls: 0.8664, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.2103, decode.d7.loss_cls: 0.8642, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.2146, decode.d8.loss_cls: 0.8642, decode.d8.loss_mask: 0.7722, decode.d8.loss_dice: 1.2198, loss: 31.0890 2022-04-29 13:33:42,994 - mmseg - INFO - Iter [33600/80000] lr: 8.328e-07, eta: 23:47:21, time: 1.765, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8484, decode.loss_mask: 0.8132, decode.loss_dice: 1.2393, decode.d0.loss_cls: 2.7391, decode.d0.loss_mask: 0.8034, decode.d0.loss_dice: 1.4160, decode.d1.loss_cls: 0.9290, decode.d1.loss_mask: 0.8449, decode.d1.loss_dice: 1.3269, decode.d2.loss_cls: 0.8783, decode.d2.loss_mask: 0.8294, decode.d2.loss_dice: 1.2720, decode.d3.loss_cls: 0.8668, decode.d3.loss_mask: 0.8228, decode.d3.loss_dice: 1.2611, decode.d4.loss_cls: 0.8608, decode.d4.loss_mask: 0.8203, decode.d4.loss_dice: 1.2547, decode.d5.loss_cls: 0.8533, decode.d5.loss_mask: 0.8165, decode.d5.loss_dice: 1.2493, decode.d6.loss_cls: 0.8479, decode.d6.loss_mask: 0.8140, decode.d6.loss_dice: 1.2348, decode.d7.loss_cls: 0.8464, decode.d7.loss_mask: 0.8120, decode.d7.loss_dice: 1.2406, decode.d8.loss_cls: 0.8464, decode.d8.loss_mask: 0.8147, decode.d8.loss_dice: 1.2402, loss: 31.4424 2022-04-29 13:35:12,003 - mmseg - INFO - Iter [33650/80000] lr: 8.319e-07, eta: 23:45:44, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8844, decode.loss_mask: 0.7926, decode.loss_dice: 1.2066, decode.d0.loss_cls: 2.7970, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.9854, decode.d1.loss_mask: 0.8215, decode.d1.loss_dice: 1.3084, decode.d2.loss_cls: 0.9173, decode.d2.loss_mask: 0.8125, decode.d2.loss_dice: 1.2595, decode.d3.loss_cls: 0.8946, decode.d3.loss_mask: 0.8032, decode.d3.loss_dice: 1.2228, decode.d4.loss_cls: 0.8913, decode.d4.loss_mask: 0.8039, decode.d4.loss_dice: 1.2199, decode.d5.loss_cls: 0.8855, decode.d5.loss_mask: 0.7969, decode.d5.loss_dice: 1.2208, decode.d6.loss_cls: 0.8893, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.2091, decode.d7.loss_cls: 0.8828, decode.d7.loss_mask: 0.7957, decode.d7.loss_dice: 1.2106, decode.d8.loss_cls: 0.8816, decode.d8.loss_mask: 0.7952, decode.d8.loss_dice: 1.2084, loss: 31.3683 2022-04-29 13:36:40,890 - mmseg - INFO - Iter [33700/80000] lr: 8.310e-07, eta: 23:44:07, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8548, decode.loss_mask: 0.7851, decode.loss_dice: 1.2375, decode.d0.loss_cls: 2.7877, decode.d0.loss_mask: 0.7922, decode.d0.loss_dice: 1.4105, decode.d1.loss_cls: 0.9401, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.3264, decode.d2.loss_cls: 0.8742, decode.d2.loss_mask: 0.8008, decode.d2.loss_dice: 1.2731, decode.d3.loss_cls: 0.8642, decode.d3.loss_mask: 0.7947, decode.d3.loss_dice: 1.2508, decode.d4.loss_cls: 0.8633, decode.d4.loss_mask: 0.7912, decode.d4.loss_dice: 1.2456, decode.d5.loss_cls: 0.8621, decode.d5.loss_mask: 0.7940, decode.d5.loss_dice: 1.2422, decode.d6.loss_cls: 0.8521, decode.d6.loss_mask: 0.7918, decode.d6.loss_dice: 1.2355, decode.d7.loss_cls: 0.8513, decode.d7.loss_mask: 0.7895, decode.d7.loss_dice: 1.2387, decode.d8.loss_cls: 0.8567, decode.d8.loss_mask: 0.7904, decode.d8.loss_dice: 1.2351, loss: 31.2510 2022-04-29 13:38:09,649 - mmseg - INFO - Iter [33750/80000] lr: 8.301e-07, eta: 23:42:30, time: 1.775, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8829, decode.loss_mask: 0.7994, decode.loss_dice: 1.2510, decode.d0.loss_cls: 2.7916, decode.d0.loss_mask: 0.7941, decode.d0.loss_dice: 1.4277, decode.d1.loss_cls: 0.9661, decode.d1.loss_mask: 0.8318, decode.d1.loss_dice: 1.3414, decode.d2.loss_cls: 0.9185, decode.d2.loss_mask: 0.8147, decode.d2.loss_dice: 1.2889, decode.d3.loss_cls: 0.8970, decode.d3.loss_mask: 0.8072, decode.d3.loss_dice: 1.2657, decode.d4.loss_cls: 0.8917, decode.d4.loss_mask: 0.8042, decode.d4.loss_dice: 1.2597, decode.d5.loss_cls: 0.8942, decode.d5.loss_mask: 0.8047, decode.d5.loss_dice: 1.2546, decode.d6.loss_cls: 0.8801, decode.d6.loss_mask: 0.8032, decode.d6.loss_dice: 1.2546, decode.d7.loss_cls: 0.8838, decode.d7.loss_mask: 0.8044, decode.d7.loss_dice: 1.2521, decode.d8.loss_cls: 0.8809, decode.d8.loss_mask: 0.8049, decode.d8.loss_dice: 1.2512, loss: 31.8025 2022-04-29 13:39:38,646 - mmseg - INFO - Iter [33800/80000] lr: 8.292e-07, eta: 23:40:53, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8450, decode.loss_mask: 0.7938, decode.loss_dice: 1.2144, decode.d0.loss_cls: 2.7271, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.4042, decode.d1.loss_cls: 0.9243, decode.d1.loss_mask: 0.8270, decode.d1.loss_dice: 1.3029, decode.d2.loss_cls: 0.8789, decode.d2.loss_mask: 0.8088, decode.d2.loss_dice: 1.2555, decode.d3.loss_cls: 0.8617, decode.d3.loss_mask: 0.8022, decode.d3.loss_dice: 1.2285, decode.d4.loss_cls: 0.8562, decode.d4.loss_mask: 0.8011, decode.d4.loss_dice: 1.2240, decode.d5.loss_cls: 0.8481, decode.d5.loss_mask: 0.7940, decode.d5.loss_dice: 1.2260, decode.d6.loss_cls: 0.8472, decode.d6.loss_mask: 0.7932, decode.d6.loss_dice: 1.2159, decode.d7.loss_cls: 0.8402, decode.d7.loss_mask: 0.7955, decode.d7.loss_dice: 1.2136, decode.d8.loss_cls: 0.8386, decode.d8.loss_mask: 0.7971, decode.d8.loss_dice: 1.2123, loss: 30.9648 2022-04-29 13:41:07,725 - mmseg - INFO - Iter [33850/80000] lr: 8.283e-07, eta: 23:39:17, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8554, decode.loss_mask: 0.7990, decode.loss_dice: 1.2111, decode.d0.loss_cls: 2.7583, decode.d0.loss_mask: 0.7993, decode.d0.loss_dice: 1.4135, decode.d1.loss_cls: 0.9512, decode.d1.loss_mask: 0.8265, decode.d1.loss_dice: 1.3250, decode.d2.loss_cls: 0.8930, decode.d2.loss_mask: 0.8145, decode.d2.loss_dice: 1.2639, decode.d3.loss_cls: 0.8768, decode.d3.loss_mask: 0.8051, decode.d3.loss_dice: 1.2358, decode.d4.loss_cls: 0.8671, decode.d4.loss_mask: 0.8026, decode.d4.loss_dice: 1.2291, decode.d5.loss_cls: 0.8641, decode.d5.loss_mask: 0.8015, decode.d5.loss_dice: 1.2280, decode.d6.loss_cls: 0.8578, decode.d6.loss_mask: 0.7959, decode.d6.loss_dice: 1.2215, decode.d7.loss_cls: 0.8630, decode.d7.loss_mask: 0.7961, decode.d7.loss_dice: 1.2143, decode.d8.loss_cls: 0.8536, decode.d8.loss_mask: 0.8012, decode.d8.loss_dice: 1.2124, loss: 31.2366 2022-04-29 13:42:37,092 - mmseg - INFO - Iter [33900/80000] lr: 8.274e-07, eta: 23:37:41, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8505, decode.loss_mask: 0.7738, decode.loss_dice: 1.2215, decode.d0.loss_cls: 2.7523, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.3945, decode.d1.loss_cls: 0.9243, decode.d1.loss_mask: 0.8007, decode.d1.loss_dice: 1.3173, decode.d2.loss_cls: 0.8730, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2632, decode.d3.loss_cls: 0.8622, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.2285, decode.d4.loss_cls: 0.8539, decode.d4.loss_mask: 0.7778, decode.d4.loss_dice: 1.2302, decode.d5.loss_cls: 0.8591, decode.d5.loss_mask: 0.7711, decode.d5.loss_dice: 1.2288, decode.d6.loss_cls: 0.8490, decode.d6.loss_mask: 0.7788, decode.d6.loss_dice: 1.2144, decode.d7.loss_cls: 0.8474, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.2191, decode.d8.loss_cls: 0.8490, decode.d8.loss_mask: 0.7724, decode.d8.loss_dice: 1.2172, loss: 30.8580 2022-04-29 13:44:06,274 - mmseg - INFO - Iter [33950/80000] lr: 8.265e-07, eta: 23:36:04, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.9014, decode.loss_mask: 0.7889, decode.loss_dice: 1.2238, decode.d0.loss_cls: 2.8161, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.4208, decode.d1.loss_cls: 0.9823, decode.d1.loss_mask: 0.8130, decode.d1.loss_dice: 1.3243, decode.d2.loss_cls: 0.9156, decode.d2.loss_mask: 0.7962, decode.d2.loss_dice: 1.2712, decode.d3.loss_cls: 0.9053, decode.d3.loss_mask: 0.7950, decode.d3.loss_dice: 1.2431, decode.d4.loss_cls: 0.8964, decode.d4.loss_mask: 0.7908, decode.d4.loss_dice: 1.2424, decode.d5.loss_cls: 0.9008, decode.d5.loss_mask: 0.7885, decode.d5.loss_dice: 1.2309, decode.d6.loss_cls: 0.8978, decode.d6.loss_mask: 0.7869, decode.d6.loss_dice: 1.2235, decode.d7.loss_cls: 0.8964, decode.d7.loss_mask: 0.7858, decode.d7.loss_dice: 1.2294, decode.d8.loss_cls: 0.8928, decode.d8.loss_mask: 0.7859, decode.d8.loss_dice: 1.2320, loss: 31.5641 2022-04-29 13:45:36,000 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-04-29 13:46:05,254 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 13:46:05,263 - mmseg - INFO - Iter [34000/80000] lr: 8.256e-07, eta: 23:35:08, time: 2.377, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8518, decode.loss_mask: 0.7807, decode.loss_dice: 1.2160, decode.d0.loss_cls: 2.7153, decode.d0.loss_mask: 0.7821, decode.d0.loss_dice: 1.4020, decode.d1.loss_cls: 0.9369, decode.d1.loss_mask: 0.8057, decode.d1.loss_dice: 1.3150, decode.d2.loss_cls: 0.8833, decode.d2.loss_mask: 0.7902, decode.d2.loss_dice: 1.2510, decode.d3.loss_cls: 0.8564, decode.d3.loss_mask: 0.7884, decode.d3.loss_dice: 1.2342, decode.d4.loss_cls: 0.8601, decode.d4.loss_mask: 0.7841, decode.d4.loss_dice: 1.2330, decode.d5.loss_cls: 0.8529, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.2243, decode.d6.loss_cls: 0.8478, decode.d6.loss_mask: 0.7775, decode.d6.loss_dice: 1.2147, decode.d7.loss_cls: 0.8548, decode.d7.loss_mask: 0.7745, decode.d7.loss_dice: 1.2124, decode.d8.loss_cls: 0.8576, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.2146, loss: 30.8753 2022-04-29 13:47:36,005 - mmseg - INFO - Iter [34050/80000] lr: 8.247e-07, eta: 23:33:34, time: 1.817, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8665, decode.loss_mask: 0.7771, decode.loss_dice: 1.2371, decode.d0.loss_cls: 2.8519, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.4161, decode.d1.loss_cls: 0.9534, decode.d1.loss_mask: 0.8068, decode.d1.loss_dice: 1.3221, decode.d2.loss_cls: 0.9051, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2714, decode.d3.loss_cls: 0.8882, decode.d3.loss_mask: 0.7839, decode.d3.loss_dice: 1.2456, decode.d4.loss_cls: 0.8732, decode.d4.loss_mask: 0.7812, decode.d4.loss_dice: 1.2483, decode.d5.loss_cls: 0.8764, decode.d5.loss_mask: 0.7743, decode.d5.loss_dice: 1.2384, decode.d6.loss_cls: 0.8714, decode.d6.loss_mask: 0.7723, decode.d6.loss_dice: 1.2317, decode.d7.loss_cls: 0.8724, decode.d7.loss_mask: 0.7746, decode.d7.loss_dice: 1.2305, decode.d8.loss_cls: 0.8709, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.2301, loss: 31.3101 2022-04-29 13:49:06,826 - mmseg - INFO - Iter [34100/80000] lr: 8.238e-07, eta: 23:32:00, time: 1.817, data_time: 0.014, memory: 64979, decode.loss_cls: 0.9089, decode.loss_mask: 0.7768, decode.loss_dice: 1.2560, decode.d0.loss_cls: 2.8356, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.4515, decode.d1.loss_cls: 0.9972, decode.d1.loss_mask: 0.8030, decode.d1.loss_dice: 1.3614, decode.d2.loss_cls: 0.9322, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.3040, decode.d3.loss_cls: 0.9231, decode.d3.loss_mask: 0.7856, decode.d3.loss_dice: 1.2667, decode.d4.loss_cls: 0.9242, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.2632, decode.d5.loss_cls: 0.9228, decode.d5.loss_mask: 0.7829, decode.d5.loss_dice: 1.2625, decode.d6.loss_cls: 0.9190, decode.d6.loss_mask: 0.7772, decode.d6.loss_dice: 1.2481, decode.d7.loss_cls: 0.9152, decode.d7.loss_mask: 0.7800, decode.d7.loss_dice: 1.2569, decode.d8.loss_cls: 0.9071, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.2572, loss: 31.9467 2022-04-29 13:50:36,818 - mmseg - INFO - Iter [34150/80000] lr: 8.229e-07, eta: 23:30:24, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8588, decode.loss_mask: 0.7766, decode.loss_dice: 1.2150, decode.d0.loss_cls: 2.7778, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.4063, decode.d1.loss_cls: 0.9523, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.3212, decode.d2.loss_cls: 0.8968, decode.d2.loss_mask: 0.7978, decode.d2.loss_dice: 1.2601, decode.d3.loss_cls: 0.8808, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.2374, decode.d4.loss_cls: 0.8777, decode.d4.loss_mask: 0.7854, decode.d4.loss_dice: 1.2360, decode.d5.loss_cls: 0.8750, decode.d5.loss_mask: 0.7810, decode.d5.loss_dice: 1.2232, decode.d6.loss_cls: 0.8636, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.2162, decode.d7.loss_cls: 0.8641, decode.d7.loss_mask: 0.7831, decode.d7.loss_dice: 1.2160, decode.d8.loss_cls: 0.8602, decode.d8.loss_mask: 0.7826, decode.d8.loss_dice: 1.2160, loss: 31.1277 2022-04-29 13:52:05,312 - mmseg - INFO - Iter [34200/80000] lr: 8.220e-07, eta: 23:28:47, time: 1.772, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8466, decode.loss_mask: 0.7980, decode.loss_dice: 1.1997, decode.d0.loss_cls: 2.7135, decode.d0.loss_mask: 0.7926, decode.d0.loss_dice: 1.3779, decode.d1.loss_cls: 0.9404, decode.d1.loss_mask: 0.8280, decode.d1.loss_dice: 1.2964, decode.d2.loss_cls: 0.8792, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2382, decode.d3.loss_cls: 0.8651, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2130, decode.d4.loss_cls: 0.8552, decode.d4.loss_mask: 0.8011, decode.d4.loss_dice: 1.2104, decode.d5.loss_cls: 0.8574, decode.d5.loss_mask: 0.7982, decode.d5.loss_dice: 1.2048, decode.d6.loss_cls: 0.8489, decode.d6.loss_mask: 0.7943, decode.d6.loss_dice: 1.1962, decode.d7.loss_cls: 0.8471, decode.d7.loss_mask: 0.8026, decode.d7.loss_dice: 1.2015, decode.d8.loss_cls: 0.8449, decode.d8.loss_mask: 0.7999, decode.d8.loss_dice: 1.2013, loss: 30.8580 2022-04-29 13:53:33,981 - mmseg - INFO - Iter [34250/80000] lr: 8.211e-07, eta: 23:27:10, time: 1.774, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8199, decode.loss_mask: 0.7659, decode.loss_dice: 1.1947, decode.d0.loss_cls: 2.7216, decode.d0.loss_mask: 0.7599, decode.d0.loss_dice: 1.3689, decode.d1.loss_cls: 0.9243, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2924, decode.d2.loss_cls: 0.8539, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.2433, decode.d3.loss_cls: 0.8376, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.8273, decode.d4.loss_mask: 0.7722, decode.d4.loss_dice: 1.2137, decode.d5.loss_cls: 0.8247, decode.d5.loss_mask: 0.7704, decode.d5.loss_dice: 1.2083, decode.d6.loss_cls: 0.8179, decode.d6.loss_mask: 0.7641, decode.d6.loss_dice: 1.1932, decode.d7.loss_cls: 0.8197, decode.d7.loss_mask: 0.7647, decode.d7.loss_dice: 1.1949, decode.d8.loss_cls: 0.8160, decode.d8.loss_mask: 0.7663, decode.d8.loss_dice: 1.1964, loss: 30.2903 2022-04-29 13:55:03,163 - mmseg - INFO - Iter [34300/80000] lr: 8.202e-07, eta: 23:25:33, time: 1.783, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8243, decode.loss_mask: 0.7921, decode.loss_dice: 1.2142, decode.d0.loss_cls: 2.6955, decode.d0.loss_mask: 0.7866, decode.d0.loss_dice: 1.3898, decode.d1.loss_cls: 0.9151, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.3123, decode.d2.loss_cls: 0.8444, decode.d2.loss_mask: 0.8011, decode.d2.loss_dice: 1.2576, decode.d3.loss_cls: 0.8359, decode.d3.loss_mask: 0.7976, decode.d3.loss_dice: 1.2233, decode.d4.loss_cls: 0.8380, decode.d4.loss_mask: 0.7961, decode.d4.loss_dice: 1.2335, decode.d5.loss_cls: 0.8372, decode.d5.loss_mask: 0.7880, decode.d5.loss_dice: 1.2281, decode.d6.loss_cls: 0.8240, decode.d6.loss_mask: 0.7855, decode.d6.loss_dice: 1.2160, decode.d7.loss_cls: 0.8217, decode.d7.loss_mask: 0.7833, decode.d7.loss_dice: 1.2100, decode.d8.loss_cls: 0.8205, decode.d8.loss_mask: 0.7876, decode.d8.loss_dice: 1.2251, loss: 30.6962 2022-04-29 13:56:32,657 - mmseg - INFO - Iter [34350/80000] lr: 8.193e-07, eta: 23:23:57, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8407, decode.loss_mask: 0.7794, decode.loss_dice: 1.2205, decode.d0.loss_cls: 2.7390, decode.d0.loss_mask: 0.7687, decode.d0.loss_dice: 1.3925, decode.d1.loss_cls: 0.9222, decode.d1.loss_mask: 0.8069, decode.d1.loss_dice: 1.3027, decode.d2.loss_cls: 0.8622, decode.d2.loss_mask: 0.7932, decode.d2.loss_dice: 1.2469, decode.d3.loss_cls: 0.8560, decode.d3.loss_mask: 0.7875, decode.d3.loss_dice: 1.2246, decode.d4.loss_cls: 0.8495, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.2278, decode.d5.loss_cls: 0.8466, decode.d5.loss_mask: 0.7826, decode.d5.loss_dice: 1.2210, decode.d6.loss_cls: 0.8463, decode.d6.loss_mask: 0.7826, decode.d6.loss_dice: 1.2095, decode.d7.loss_cls: 0.8384, decode.d7.loss_mask: 0.7796, decode.d7.loss_dice: 1.2079, decode.d8.loss_cls: 0.8416, decode.d8.loss_mask: 0.7794, decode.d8.loss_dice: 1.2159, loss: 30.7607 2022-04-29 13:58:02,446 - mmseg - INFO - Iter [34400/80000] lr: 8.184e-07, eta: 23:22:22, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8344, decode.loss_mask: 0.7816, decode.loss_dice: 1.2270, decode.d0.loss_cls: 2.7393, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.4018, decode.d1.loss_cls: 0.9092, decode.d1.loss_mask: 0.8200, decode.d1.loss_dice: 1.3219, decode.d2.loss_cls: 0.8520, decode.d2.loss_mask: 0.8094, decode.d2.loss_dice: 1.2705, decode.d3.loss_cls: 0.8397, decode.d3.loss_mask: 0.7957, decode.d3.loss_dice: 1.2505, decode.d4.loss_cls: 0.8450, decode.d4.loss_mask: 0.7941, decode.d4.loss_dice: 1.2420, decode.d5.loss_cls: 0.8360, decode.d5.loss_mask: 0.7895, decode.d5.loss_dice: 1.2341, decode.d6.loss_cls: 0.8274, decode.d6.loss_mask: 0.7878, decode.d6.loss_dice: 1.2298, decode.d7.loss_cls: 0.8261, decode.d7.loss_mask: 0.7863, decode.d7.loss_dice: 1.2259, decode.d8.loss_cls: 0.8292, decode.d8.loss_mask: 0.7859, decode.d8.loss_dice: 1.2283, loss: 30.9005 2022-04-29 13:59:31,074 - mmseg - INFO - Iter [34450/80000] lr: 8.175e-07, eta: 23:20:45, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8930, decode.loss_mask: 0.7844, decode.loss_dice: 1.2093, decode.d0.loss_cls: 2.7735, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3954, decode.d1.loss_cls: 0.9612, decode.d1.loss_mask: 0.8171, decode.d1.loss_dice: 1.3064, decode.d2.loss_cls: 0.9128, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.2565, decode.d3.loss_cls: 0.9017, decode.d3.loss_mask: 0.7876, decode.d3.loss_dice: 1.2316, decode.d4.loss_cls: 0.8924, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2350, decode.d5.loss_cls: 0.8909, decode.d5.loss_mask: 0.7907, decode.d5.loss_dice: 1.2254, decode.d6.loss_cls: 0.8914, decode.d6.loss_mask: 0.7892, decode.d6.loss_dice: 1.2114, decode.d7.loss_cls: 0.8886, decode.d7.loss_mask: 0.7917, decode.d7.loss_dice: 1.2132, decode.d8.loss_cls: 0.8911, decode.d8.loss_mask: 0.7856, decode.d8.loss_dice: 1.2123, loss: 31.3122 2022-04-29 14:01:00,941 - mmseg - INFO - Iter [34500/80000] lr: 8.166e-07, eta: 23:19:09, time: 1.796, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8893, decode.loss_mask: 0.7938, decode.loss_dice: 1.2372, decode.d0.loss_cls: 2.8198, decode.d0.loss_mask: 0.7974, decode.d0.loss_dice: 1.4291, decode.d1.loss_cls: 0.9819, decode.d1.loss_mask: 0.8235, decode.d1.loss_dice: 1.3427, decode.d2.loss_cls: 0.9245, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.2831, decode.d3.loss_cls: 0.9004, decode.d3.loss_mask: 0.8027, decode.d3.loss_dice: 1.2652, decode.d4.loss_cls: 0.8905, decode.d4.loss_mask: 0.8008, decode.d4.loss_dice: 1.2565, decode.d5.loss_cls: 0.8885, decode.d5.loss_mask: 0.7973, decode.d5.loss_dice: 1.2466, decode.d6.loss_cls: 0.8863, decode.d6.loss_mask: 0.7965, decode.d6.loss_dice: 1.2438, decode.d7.loss_cls: 0.8936, decode.d7.loss_mask: 0.7953, decode.d7.loss_dice: 1.2405, decode.d8.loss_cls: 0.8920, decode.d8.loss_mask: 0.7942, decode.d8.loss_dice: 1.2399, loss: 31.7560 2022-04-29 14:02:29,958 - mmseg - INFO - Iter [34550/80000] lr: 8.157e-07, eta: 23:17:33, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8401, decode.loss_mask: 0.7942, decode.loss_dice: 1.2126, decode.d0.loss_cls: 2.6893, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.4145, decode.d1.loss_cls: 0.9117, decode.d1.loss_mask: 0.8198, decode.d1.loss_dice: 1.3200, decode.d2.loss_cls: 0.8534, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.2548, decode.d3.loss_cls: 0.8470, decode.d3.loss_mask: 0.7977, decode.d3.loss_dice: 1.2209, decode.d4.loss_cls: 0.8467, decode.d4.loss_mask: 0.7967, decode.d4.loss_dice: 1.2251, decode.d5.loss_cls: 0.8436, decode.d5.loss_mask: 0.7965, decode.d5.loss_dice: 1.2228, decode.d6.loss_cls: 0.8375, decode.d6.loss_mask: 0.7943, decode.d6.loss_dice: 1.2139, decode.d7.loss_cls: 0.8388, decode.d7.loss_mask: 0.7919, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 0.8374, decode.d8.loss_mask: 0.7920, decode.d8.loss_dice: 1.2180, loss: 30.8429 2022-04-29 14:04:00,014 - mmseg - INFO - Iter [34600/80000] lr: 8.148e-07, eta: 23:15:58, time: 1.800, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8347, decode.loss_mask: 0.7931, decode.loss_dice: 1.1850, decode.d0.loss_cls: 2.6527, decode.d0.loss_mask: 0.8050, decode.d0.loss_dice: 1.3801, decode.d1.loss_cls: 0.8927, decode.d1.loss_mask: 0.8303, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8545, decode.d2.loss_mask: 0.8075, decode.d2.loss_dice: 1.2278, decode.d3.loss_cls: 0.8353, decode.d3.loss_mask: 0.8109, decode.d3.loss_dice: 1.2111, decode.d4.loss_cls: 0.8352, decode.d4.loss_mask: 0.8091, decode.d4.loss_dice: 1.2002, decode.d5.loss_cls: 0.8315, decode.d5.loss_mask: 0.8069, decode.d5.loss_dice: 1.2020, decode.d6.loss_cls: 0.8370, decode.d6.loss_mask: 0.7998, decode.d6.loss_dice: 1.1888, decode.d7.loss_cls: 0.8285, decode.d7.loss_mask: 0.7990, decode.d7.loss_dice: 1.1928, decode.d8.loss_cls: 0.8310, decode.d8.loss_mask: 0.7956, decode.d8.loss_dice: 1.1867, loss: 30.5498 2022-04-29 14:05:31,023 - mmseg - INFO - Iter [34650/80000] lr: 8.139e-07, eta: 23:14:24, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8313, decode.loss_mask: 0.7989, decode.loss_dice: 1.2041, decode.d0.loss_cls: 2.6852, decode.d0.loss_mask: 0.7969, decode.d0.loss_dice: 1.3845, decode.d1.loss_cls: 0.9072, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.3031, decode.d2.loss_cls: 0.8575, decode.d2.loss_mask: 0.8173, decode.d2.loss_dice: 1.2520, decode.d3.loss_cls: 0.8436, decode.d3.loss_mask: 0.8085, decode.d3.loss_dice: 1.2220, decode.d4.loss_cls: 0.8348, decode.d4.loss_mask: 0.8104, decode.d4.loss_dice: 1.2262, decode.d5.loss_cls: 0.8345, decode.d5.loss_mask: 0.8102, decode.d5.loss_dice: 1.2193, decode.d6.loss_cls: 0.8310, decode.d6.loss_mask: 0.7997, decode.d6.loss_dice: 1.2080, decode.d7.loss_cls: 0.8319, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.2132, decode.d8.loss_cls: 0.8274, decode.d8.loss_mask: 0.7982, decode.d8.loss_dice: 1.2033, loss: 30.7913 2022-04-29 14:07:01,020 - mmseg - INFO - Iter [34700/80000] lr: 8.130e-07, eta: 23:12:49, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8843, decode.loss_mask: 0.7675, decode.loss_dice: 1.2289, decode.d0.loss_cls: 2.7930, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.4336, decode.d1.loss_cls: 0.9691, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.3389, decode.d2.loss_cls: 0.9186, decode.d2.loss_mask: 0.7857, decode.d2.loss_dice: 1.2825, decode.d3.loss_cls: 0.9044, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.2462, decode.d4.loss_cls: 0.8951, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.2502, decode.d5.loss_cls: 0.8886, decode.d5.loss_mask: 0.7722, decode.d5.loss_dice: 1.2459, decode.d6.loss_cls: 0.8871, decode.d6.loss_mask: 0.7721, decode.d6.loss_dice: 1.2339, decode.d7.loss_cls: 0.8887, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.2326, decode.d8.loss_cls: 0.8844, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.2347, loss: 31.4065 2022-04-29 14:08:29,992 - mmseg - INFO - Iter [34750/80000] lr: 8.121e-07, eta: 23:11:12, time: 1.779, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8836, decode.loss_mask: 0.7786, decode.loss_dice: 1.1969, decode.d0.loss_cls: 2.7988, decode.d0.loss_mask: 0.7825, decode.d0.loss_dice: 1.3953, decode.d1.loss_cls: 0.9655, decode.d1.loss_mask: 0.8124, decode.d1.loss_dice: 1.2959, decode.d2.loss_cls: 0.9052, decode.d2.loss_mask: 0.7946, decode.d2.loss_dice: 1.2412, decode.d3.loss_cls: 0.8934, decode.d3.loss_mask: 0.7868, decode.d3.loss_dice: 1.2132, decode.d4.loss_cls: 0.8899, decode.d4.loss_mask: 0.7862, decode.d4.loss_dice: 1.2162, decode.d5.loss_cls: 0.8812, decode.d5.loss_mask: 0.7852, decode.d5.loss_dice: 1.2064, decode.d6.loss_cls: 0.8831, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1936, decode.d7.loss_cls: 0.8741, decode.d7.loss_mask: 0.7810, decode.d7.loss_dice: 1.1963, decode.d8.loss_cls: 0.8794, decode.d8.loss_mask: 0.7815, decode.d8.loss_dice: 1.2004, loss: 31.0776 2022-04-29 14:09:59,601 - mmseg - INFO - Iter [34800/80000] lr: 8.112e-07, eta: 23:09:36, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8508, decode.loss_mask: 0.7850, decode.loss_dice: 1.2255, decode.d0.loss_cls: 2.8133, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.4113, decode.d1.loss_cls: 0.9499, decode.d1.loss_mask: 0.8200, decode.d1.loss_dice: 1.3246, decode.d2.loss_cls: 0.8811, decode.d2.loss_mask: 0.8010, decode.d2.loss_dice: 1.2669, decode.d3.loss_cls: 0.8683, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.2432, decode.d4.loss_cls: 0.8612, decode.d4.loss_mask: 0.7883, decode.d4.loss_dice: 1.2347, decode.d5.loss_cls: 0.8592, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.2251, decode.d6.loss_cls: 0.8490, decode.d6.loss_mask: 0.7846, decode.d6.loss_dice: 1.2287, decode.d7.loss_cls: 0.8486, decode.d7.loss_mask: 0.7828, decode.d7.loss_dice: 1.2276, decode.d8.loss_cls: 0.8454, decode.d8.loss_mask: 0.7849, decode.d8.loss_dice: 1.2256, loss: 31.1439 2022-04-29 14:11:29,228 - mmseg - INFO - Iter [34850/80000] lr: 8.103e-07, eta: 23:08:01, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8510, decode.loss_mask: 0.8161, decode.loss_dice: 1.2299, decode.d0.loss_cls: 2.7321, decode.d0.loss_mask: 0.8089, decode.d0.loss_dice: 1.4140, decode.d1.loss_cls: 0.9348, decode.d1.loss_mask: 0.8511, decode.d1.loss_dice: 1.3301, decode.d2.loss_cls: 0.8779, decode.d2.loss_mask: 0.8318, decode.d2.loss_dice: 1.2819, decode.d3.loss_cls: 0.8709, decode.d3.loss_mask: 0.8284, decode.d3.loss_dice: 1.2473, decode.d4.loss_cls: 0.8667, decode.d4.loss_mask: 0.8198, decode.d4.loss_dice: 1.2451, decode.d5.loss_cls: 0.8570, decode.d5.loss_mask: 0.8197, decode.d5.loss_dice: 1.2395, decode.d6.loss_cls: 0.8564, decode.d6.loss_mask: 0.8153, decode.d6.loss_dice: 1.2296, decode.d7.loss_cls: 0.8562, decode.d7.loss_mask: 0.8154, decode.d7.loss_dice: 1.2301, decode.d8.loss_cls: 0.8523, decode.d8.loss_mask: 0.8179, decode.d8.loss_dice: 1.2369, loss: 31.4641 2022-04-29 14:12:58,247 - mmseg - INFO - Iter [34900/80000] lr: 8.094e-07, eta: 23:06:25, time: 1.780, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8690, decode.loss_mask: 0.8020, decode.loss_dice: 1.2431, decode.d0.loss_cls: 2.7954, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.4258, decode.d1.loss_cls: 0.9542, decode.d1.loss_mask: 0.8235, decode.d1.loss_dice: 1.3312, decode.d2.loss_cls: 0.8969, decode.d2.loss_mask: 0.8128, decode.d2.loss_dice: 1.2872, decode.d3.loss_cls: 0.8822, decode.d3.loss_mask: 0.8043, decode.d3.loss_dice: 1.2575, decode.d4.loss_cls: 0.8755, decode.d4.loss_mask: 0.8059, decode.d4.loss_dice: 1.2634, decode.d5.loss_cls: 0.8675, decode.d5.loss_mask: 0.8022, decode.d5.loss_dice: 1.2598, decode.d6.loss_cls: 0.8706, decode.d6.loss_mask: 0.8016, decode.d6.loss_dice: 1.2551, decode.d7.loss_cls: 0.8708, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.2515, decode.d8.loss_cls: 0.8752, decode.d8.loss_mask: 0.7973, decode.d8.loss_dice: 1.2494, loss: 31.6219 2022-04-29 14:14:26,922 - mmseg - INFO - Iter [34950/80000] lr: 8.086e-07, eta: 23:04:48, time: 1.774, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8525, decode.loss_mask: 0.7787, decode.loss_dice: 1.1877, decode.d0.loss_cls: 2.7734, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.3847, decode.d1.loss_cls: 0.9394, decode.d1.loss_mask: 0.8115, decode.d1.loss_dice: 1.2916, decode.d2.loss_cls: 0.8893, decode.d2.loss_mask: 0.7884, decode.d2.loss_dice: 1.2365, decode.d3.loss_cls: 0.8704, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.2150, decode.d4.loss_cls: 0.8681, decode.d4.loss_mask: 0.7826, decode.d4.loss_dice: 1.2074, decode.d5.loss_cls: 0.8655, decode.d5.loss_mask: 0.7765, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.8531, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.1904, decode.d7.loss_cls: 0.8534, decode.d7.loss_mask: 0.7784, decode.d7.loss_dice: 1.1880, decode.d8.loss_cls: 0.8573, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.1870, loss: 30.7367 2022-04-29 14:15:56,388 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-04-29 14:16:27,493 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 14:16:27,496 - mmseg - INFO - Iter [35000/80000] lr: 8.077e-07, eta: 23:03:52, time: 2.407, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8095, decode.loss_mask: 0.7833, decode.loss_dice: 1.2119, decode.d0.loss_cls: 2.6911, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.3865, decode.d1.loss_cls: 0.8956, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.3038, decode.d2.loss_cls: 0.8420, decode.d2.loss_mask: 0.7935, decode.d2.loss_dice: 1.2495, decode.d3.loss_cls: 0.8251, decode.d3.loss_mask: 0.7810, decode.d3.loss_dice: 1.2252, decode.d4.loss_cls: 0.8208, decode.d4.loss_mask: 0.7879, decode.d4.loss_dice: 1.2259, decode.d5.loss_cls: 0.8235, decode.d5.loss_mask: 0.7888, decode.d5.loss_dice: 1.2180, decode.d6.loss_cls: 0.8209, decode.d6.loss_mask: 0.7809, decode.d6.loss_dice: 1.2050, decode.d7.loss_cls: 0.8188, decode.d7.loss_mask: 0.7804, decode.d7.loss_dice: 1.2116, decode.d8.loss_cls: 0.8154, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.2035, loss: 30.4625 2022-04-29 14:17:58,135 - mmseg - INFO - Iter [35050/80000] lr: 8.068e-07, eta: 23:02:18, time: 1.817, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8106, decode.loss_mask: 0.7945, decode.loss_dice: 1.2128, decode.d0.loss_cls: 2.7235, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.3964, decode.d1.loss_cls: 0.8930, decode.d1.loss_mask: 0.8316, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 0.8440, decode.d2.loss_mask: 0.8096, decode.d2.loss_dice: 1.2480, decode.d3.loss_cls: 0.8145, decode.d3.loss_mask: 0.8059, decode.d3.loss_dice: 1.2315, decode.d4.loss_cls: 0.8270, decode.d4.loss_mask: 0.7990, decode.d4.loss_dice: 1.2228, decode.d5.loss_cls: 0.8156, decode.d5.loss_mask: 0.8002, decode.d5.loss_dice: 1.2250, decode.d6.loss_cls: 0.8123, decode.d6.loss_mask: 0.7946, decode.d6.loss_dice: 1.2194, decode.d7.loss_cls: 0.8158, decode.d7.loss_mask: 0.7976, decode.d7.loss_dice: 1.2202, decode.d8.loss_cls: 0.8148, decode.d8.loss_mask: 0.7925, decode.d8.loss_dice: 1.2149, loss: 30.6882 2022-04-29 14:19:26,430 - mmseg - INFO - Iter [35100/80000] lr: 8.059e-07, eta: 23:00:40, time: 1.766, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8289, decode.loss_mask: 0.7802, decode.loss_dice: 1.2199, decode.d0.loss_cls: 2.7204, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.4084, decode.d1.loss_cls: 0.9135, decode.d1.loss_mask: 0.8138, decode.d1.loss_dice: 1.3284, decode.d2.loss_cls: 0.8621, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2721, decode.d3.loss_cls: 0.8478, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.2357, decode.d4.loss_cls: 0.8448, decode.d4.loss_mask: 0.7910, decode.d4.loss_dice: 1.2335, decode.d5.loss_cls: 0.8362, decode.d5.loss_mask: 0.7821, decode.d5.loss_dice: 1.2277, decode.d6.loss_cls: 0.8330, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.2189, decode.d7.loss_cls: 0.8317, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.2216, decode.d8.loss_cls: 0.8317, decode.d8.loss_mask: 0.7825, decode.d8.loss_dice: 1.2192, loss: 30.8051 2022-04-29 14:20:55,351 - mmseg - INFO - Iter [35150/80000] lr: 8.050e-07, eta: 22:59:04, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8768, decode.loss_mask: 0.7785, decode.loss_dice: 1.2179, decode.d0.loss_cls: 2.7716, decode.d0.loss_mask: 0.7843, decode.d0.loss_dice: 1.4004, decode.d1.loss_cls: 0.9706, decode.d1.loss_mask: 0.8075, decode.d1.loss_dice: 1.3145, decode.d2.loss_cls: 0.9097, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2624, decode.d3.loss_cls: 0.8940, decode.d3.loss_mask: 0.7852, decode.d3.loss_dice: 1.2289, decode.d4.loss_cls: 0.8900, decode.d4.loss_mask: 0.7814, decode.d4.loss_dice: 1.2306, decode.d5.loss_cls: 0.8865, decode.d5.loss_mask: 0.7813, decode.d5.loss_dice: 1.2325, decode.d6.loss_cls: 0.8763, decode.d6.loss_mask: 0.7794, decode.d6.loss_dice: 1.2241, decode.d7.loss_cls: 0.8721, decode.d7.loss_mask: 0.7816, decode.d7.loss_dice: 1.2268, decode.d8.loss_cls: 0.8811, decode.d8.loss_mask: 0.7798, decode.d8.loss_dice: 1.2197, loss: 31.2382 2022-04-29 14:22:24,736 - mmseg - INFO - Iter [35200/80000] lr: 8.041e-07, eta: 22:57:28, time: 1.788, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8564, decode.loss_mask: 0.7902, decode.loss_dice: 1.2170, decode.d0.loss_cls: 2.7641, decode.d0.loss_mask: 0.7935, decode.d0.loss_dice: 1.4074, decode.d1.loss_cls: 0.9665, decode.d1.loss_mask: 0.8214, decode.d1.loss_dice: 1.3000, decode.d2.loss_cls: 0.8946, decode.d2.loss_mask: 0.8065, decode.d2.loss_dice: 1.2539, decode.d3.loss_cls: 0.8780, decode.d3.loss_mask: 0.8011, decode.d3.loss_dice: 1.2267, decode.d4.loss_cls: 0.8684, decode.d4.loss_mask: 0.7999, decode.d4.loss_dice: 1.2199, decode.d5.loss_cls: 0.8650, decode.d5.loss_mask: 0.7959, decode.d5.loss_dice: 1.2200, decode.d6.loss_cls: 0.8647, decode.d6.loss_mask: 0.7917, decode.d6.loss_dice: 1.2038, decode.d7.loss_cls: 0.8594, decode.d7.loss_mask: 0.7944, decode.d7.loss_dice: 1.2139, decode.d8.loss_cls: 0.8603, decode.d8.loss_mask: 0.7922, decode.d8.loss_dice: 1.2157, loss: 31.1422 2022-04-29 14:23:54,019 - mmseg - INFO - Iter [35250/80000] lr: 8.032e-07, eta: 22:55:52, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8676, decode.loss_mask: 0.8019, decode.loss_dice: 1.2279, decode.d0.loss_cls: 2.7008, decode.d0.loss_mask: 0.8109, decode.d0.loss_dice: 1.4175, decode.d1.loss_cls: 0.9323, decode.d1.loss_mask: 0.8377, decode.d1.loss_dice: 1.3267, decode.d2.loss_cls: 0.8850, decode.d2.loss_mask: 0.8201, decode.d2.loss_dice: 1.2673, decode.d3.loss_cls: 0.8708, decode.d3.loss_mask: 0.8083, decode.d3.loss_dice: 1.2441, decode.d4.loss_cls: 0.8688, decode.d4.loss_mask: 0.8098, decode.d4.loss_dice: 1.2484, decode.d5.loss_cls: 0.8680, decode.d5.loss_mask: 0.8099, decode.d5.loss_dice: 1.2357, decode.d6.loss_cls: 0.8606, decode.d6.loss_mask: 0.8040, decode.d6.loss_dice: 1.2233, decode.d7.loss_cls: 0.8589, decode.d7.loss_mask: 0.8009, decode.d7.loss_dice: 1.2254, decode.d8.loss_cls: 0.8583, decode.d8.loss_mask: 0.8042, decode.d8.loss_dice: 1.2234, loss: 31.3185 2022-04-29 14:25:22,549 - mmseg - INFO - Iter [35300/80000] lr: 8.023e-07, eta: 22:54:15, time: 1.770, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8596, decode.loss_mask: 0.7900, decode.loss_dice: 1.2229, decode.d0.loss_cls: 2.7346, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.3983, decode.d1.loss_cls: 0.9263, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.3137, decode.d2.loss_cls: 0.8761, decode.d2.loss_mask: 0.8149, decode.d2.loss_dice: 1.2732, decode.d3.loss_cls: 0.8722, decode.d3.loss_mask: 0.7994, decode.d3.loss_dice: 1.2442, decode.d4.loss_cls: 0.8633, decode.d4.loss_mask: 0.7998, decode.d4.loss_dice: 1.2412, decode.d5.loss_cls: 0.8607, decode.d5.loss_mask: 0.7957, decode.d5.loss_dice: 1.2411, decode.d6.loss_cls: 0.8557, decode.d6.loss_mask: 0.7887, decode.d6.loss_dice: 1.2231, decode.d7.loss_cls: 0.8572, decode.d7.loss_mask: 0.7913, decode.d7.loss_dice: 1.2321, decode.d8.loss_cls: 0.8560, decode.d8.loss_mask: 0.7880, decode.d8.loss_dice: 1.2244, loss: 31.1536 2022-04-29 14:26:51,020 - mmseg - INFO - Iter [35350/80000] lr: 8.014e-07, eta: 22:52:38, time: 1.770, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8467, decode.loss_mask: 0.7909, decode.loss_dice: 1.2203, decode.d0.loss_cls: 2.7473, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.4087, decode.d1.loss_cls: 0.9259, decode.d1.loss_mask: 0.8310, decode.d1.loss_dice: 1.3326, decode.d2.loss_cls: 0.8671, decode.d2.loss_mask: 0.8117, decode.d2.loss_dice: 1.2731, decode.d3.loss_cls: 0.8526, decode.d3.loss_mask: 0.8025, decode.d3.loss_dice: 1.2518, decode.d4.loss_cls: 0.8464, decode.d4.loss_mask: 0.8058, decode.d4.loss_dice: 1.2474, decode.d5.loss_cls: 0.8454, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.2325, decode.d6.loss_cls: 0.8379, decode.d6.loss_mask: 0.7968, decode.d6.loss_dice: 1.2287, decode.d7.loss_cls: 0.8416, decode.d7.loss_mask: 0.7932, decode.d7.loss_dice: 1.2253, decode.d8.loss_cls: 0.8432, decode.d8.loss_mask: 0.7936, decode.d8.loss_dice: 1.2229, loss: 31.1062 2022-04-29 14:28:20,112 - mmseg - INFO - Iter [35400/80000] lr: 8.005e-07, eta: 22:51:02, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8694, decode.loss_mask: 0.7774, decode.loss_dice: 1.2089, decode.d0.loss_cls: 2.8003, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3921, decode.d1.loss_cls: 0.9531, decode.d1.loss_mask: 0.8097, decode.d1.loss_dice: 1.2976, decode.d2.loss_cls: 0.9050, decode.d2.loss_mask: 0.7836, decode.d2.loss_dice: 1.2518, decode.d3.loss_cls: 0.8778, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.2252, decode.d4.loss_cls: 0.8762, decode.d4.loss_mask: 0.7837, decode.d4.loss_dice: 1.2273, decode.d5.loss_cls: 0.8684, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8622, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.2062, decode.d7.loss_cls: 0.8711, decode.d7.loss_mask: 0.7710, decode.d7.loss_dice: 1.2066, decode.d8.loss_cls: 0.8712, decode.d8.loss_mask: 0.7737, decode.d8.loss_dice: 1.2033, loss: 31.0162 2022-04-29 14:29:49,014 - mmseg - INFO - Iter [35450/80000] lr: 7.996e-07, eta: 22:49:25, time: 1.780, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8447, decode.loss_mask: 0.8050, decode.loss_dice: 1.2310, decode.d0.loss_cls: 2.6891, decode.d0.loss_mask: 0.8015, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.9336, decode.d1.loss_mask: 0.8392, decode.d1.loss_dice: 1.3122, decode.d2.loss_cls: 0.8824, decode.d2.loss_mask: 0.8177, decode.d2.loss_dice: 1.2610, decode.d3.loss_cls: 0.8662, decode.d3.loss_mask: 0.8108, decode.d3.loss_dice: 1.2331, decode.d4.loss_cls: 0.8618, decode.d4.loss_mask: 0.8074, decode.d4.loss_dice: 1.2318, decode.d5.loss_cls: 0.8520, decode.d5.loss_mask: 0.8074, decode.d5.loss_dice: 1.2349, decode.d6.loss_cls: 0.8472, decode.d6.loss_mask: 0.8035, decode.d6.loss_dice: 1.2262, decode.d7.loss_cls: 0.8483, decode.d7.loss_mask: 0.8074, decode.d7.loss_dice: 1.2337, decode.d8.loss_cls: 0.8513, decode.d8.loss_mask: 0.8039, decode.d8.loss_dice: 1.2298, loss: 31.1719 2022-04-29 14:31:17,776 - mmseg - INFO - Iter [35500/80000] lr: 7.987e-07, eta: 22:47:49, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8450, decode.loss_mask: 0.7853, decode.loss_dice: 1.2452, decode.d0.loss_cls: 2.7652, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.4314, decode.d1.loss_cls: 0.9280, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.3477, decode.d2.loss_cls: 0.8855, decode.d2.loss_mask: 0.7979, decode.d2.loss_dice: 1.2929, decode.d3.loss_cls: 0.8665, decode.d3.loss_mask: 0.7887, decode.d3.loss_dice: 1.2620, decode.d4.loss_cls: 0.8586, decode.d4.loss_mask: 0.7914, decode.d4.loss_dice: 1.2667, decode.d5.loss_cls: 0.8631, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.2577, decode.d6.loss_cls: 0.8547, decode.d6.loss_mask: 0.7813, decode.d6.loss_dice: 1.2466, decode.d7.loss_cls: 0.8481, decode.d7.loss_mask: 0.7844, decode.d7.loss_dice: 1.2442, decode.d8.loss_cls: 0.8471, decode.d8.loss_mask: 0.7848, decode.d8.loss_dice: 1.2450, loss: 31.3023 2022-04-29 14:32:47,021 - mmseg - INFO - Iter [35550/80000] lr: 7.978e-07, eta: 22:46:13, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8425, decode.loss_mask: 0.8133, decode.loss_dice: 1.2053, decode.d0.loss_cls: 2.7524, decode.d0.loss_mask: 0.8119, decode.d0.loss_dice: 1.4003, decode.d1.loss_cls: 0.9330, decode.d1.loss_mask: 0.8376, decode.d1.loss_dice: 1.2971, decode.d2.loss_cls: 0.8798, decode.d2.loss_mask: 0.8194, decode.d2.loss_dice: 1.2347, decode.d3.loss_cls: 0.8618, decode.d3.loss_mask: 0.8140, decode.d3.loss_dice: 1.2169, decode.d4.loss_cls: 0.8504, decode.d4.loss_mask: 0.8278, decode.d4.loss_dice: 1.2146, decode.d5.loss_cls: 0.8528, decode.d5.loss_mask: 0.8198, decode.d5.loss_dice: 1.2114, decode.d6.loss_cls: 0.8430, decode.d6.loss_mask: 0.8111, decode.d6.loss_dice: 1.1994, decode.d7.loss_cls: 0.8429, decode.d7.loss_mask: 0.8065, decode.d7.loss_dice: 1.1992, decode.d8.loss_cls: 0.8410, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.2076, loss: 31.0575 2022-04-29 14:34:16,823 - mmseg - INFO - Iter [35600/80000] lr: 7.969e-07, eta: 22:44:38, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8409, decode.loss_mask: 0.7743, decode.loss_dice: 1.2015, decode.d0.loss_cls: 2.7483, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.3898, decode.d1.loss_cls: 0.9284, decode.d1.loss_mask: 0.8021, decode.d1.loss_dice: 1.3067, decode.d2.loss_cls: 0.8749, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2528, decode.d3.loss_cls: 0.8537, decode.d3.loss_mask: 0.7788, decode.d3.loss_dice: 1.2223, decode.d4.loss_cls: 0.8461, decode.d4.loss_mask: 0.7785, decode.d4.loss_dice: 1.2200, decode.d5.loss_cls: 0.8481, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.2189, decode.d6.loss_cls: 0.8413, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.2068, decode.d7.loss_cls: 0.8391, decode.d7.loss_mask: 0.7743, decode.d7.loss_dice: 1.2069, decode.d8.loss_cls: 0.8374, decode.d8.loss_mask: 0.7737, decode.d8.loss_dice: 1.2116, loss: 30.6981 2022-04-29 14:35:46,095 - mmseg - INFO - Iter [35650/80000] lr: 7.960e-07, eta: 22:43:02, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8542, decode.loss_mask: 0.7853, decode.loss_dice: 1.2172, decode.d0.loss_cls: 2.7704, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4064, decode.d1.loss_cls: 0.9370, decode.d1.loss_mask: 0.8125, decode.d1.loss_dice: 1.3163, decode.d2.loss_cls: 0.8796, decode.d2.loss_mask: 0.7973, decode.d2.loss_dice: 1.2557, decode.d3.loss_cls: 0.8648, decode.d3.loss_mask: 0.7954, decode.d3.loss_dice: 1.2351, decode.d4.loss_cls: 0.8544, decode.d4.loss_mask: 0.7912, decode.d4.loss_dice: 1.2338, decode.d5.loss_cls: 0.8522, decode.d5.loss_mask: 0.7935, decode.d5.loss_dice: 1.2269, decode.d6.loss_cls: 0.8541, decode.d6.loss_mask: 0.7857, decode.d6.loss_dice: 1.2156, decode.d7.loss_cls: 0.8515, decode.d7.loss_mask: 0.7836, decode.d7.loss_dice: 1.2171, decode.d8.loss_cls: 0.8530, decode.d8.loss_mask: 0.7833, decode.d8.loss_dice: 1.2241, loss: 31.0344 2022-04-29 14:37:16,436 - mmseg - INFO - Iter [35700/80000] lr: 7.951e-07, eta: 22:41:27, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8361, decode.loss_mask: 0.8031, decode.loss_dice: 1.1881, decode.d0.loss_cls: 2.7038, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.9205, decode.d1.loss_mask: 0.8344, decode.d1.loss_dice: 1.2704, decode.d2.loss_cls: 0.8591, decode.d2.loss_mask: 0.8215, decode.d2.loss_dice: 1.2230, decode.d3.loss_cls: 0.8465, decode.d3.loss_mask: 0.8094, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.8503, decode.d4.loss_mask: 0.8029, decode.d4.loss_dice: 1.2001, decode.d5.loss_cls: 0.8478, decode.d5.loss_mask: 0.7972, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.8424, decode.d6.loss_mask: 0.7988, decode.d6.loss_dice: 1.1819, decode.d7.loss_cls: 0.8488, decode.d7.loss_mask: 0.7963, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.8445, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.1869, loss: 30.6633 2022-04-29 14:38:45,086 - mmseg - INFO - Iter [35750/80000] lr: 7.942e-07, eta: 22:39:51, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8723, decode.loss_mask: 0.8057, decode.loss_dice: 1.2502, decode.d0.loss_cls: 2.7413, decode.d0.loss_mask: 0.8070, decode.d0.loss_dice: 1.4202, decode.d1.loss_cls: 0.9464, decode.d1.loss_mask: 0.8293, decode.d1.loss_dice: 1.3388, decode.d2.loss_cls: 0.8918, decode.d2.loss_mask: 0.8158, decode.d2.loss_dice: 1.2911, decode.d3.loss_cls: 0.8811, decode.d3.loss_mask: 0.8087, decode.d3.loss_dice: 1.2579, decode.d4.loss_cls: 0.8755, decode.d4.loss_mask: 0.8128, decode.d4.loss_dice: 1.2542, decode.d5.loss_cls: 0.8723, decode.d5.loss_mask: 0.8072, decode.d5.loss_dice: 1.2530, decode.d6.loss_cls: 0.8660, decode.d6.loss_mask: 0.8029, decode.d6.loss_dice: 1.2465, decode.d7.loss_cls: 0.8698, decode.d7.loss_mask: 0.8038, decode.d7.loss_dice: 1.2451, decode.d8.loss_cls: 0.8685, decode.d8.loss_mask: 0.8028, decode.d8.loss_dice: 1.2449, loss: 31.5827 2022-04-29 14:40:13,294 - mmseg - INFO - Iter [35800/80000] lr: 7.933e-07, eta: 22:38:14, time: 1.764, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8459, decode.loss_mask: 0.7761, decode.loss_dice: 1.2012, decode.d0.loss_cls: 2.6956, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3906, decode.d1.loss_cls: 0.9282, decode.d1.loss_mask: 0.8046, decode.d1.loss_dice: 1.3016, decode.d2.loss_cls: 0.8756, decode.d2.loss_mask: 0.7868, decode.d2.loss_dice: 1.2433, decode.d3.loss_cls: 0.8562, decode.d3.loss_mask: 0.7806, decode.d3.loss_dice: 1.2185, decode.d4.loss_cls: 0.8533, decode.d4.loss_mask: 0.7825, decode.d4.loss_dice: 1.2183, decode.d5.loss_cls: 0.8604, decode.d5.loss_mask: 0.7755, decode.d5.loss_dice: 1.2074, decode.d6.loss_cls: 0.8509, decode.d6.loss_mask: 0.7760, decode.d6.loss_dice: 1.1947, decode.d7.loss_cls: 0.8525, decode.d7.loss_mask: 0.7754, decode.d7.loss_dice: 1.1956, decode.d8.loss_cls: 0.8457, decode.d8.loss_mask: 0.7777, decode.d8.loss_dice: 1.1979, loss: 30.6484 2022-04-29 14:41:41,644 - mmseg - INFO - Iter [35850/80000] lr: 7.924e-07, eta: 22:36:37, time: 1.767, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8708, decode.loss_mask: 0.7806, decode.loss_dice: 1.2171, decode.d0.loss_cls: 2.7725, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.4100, decode.d1.loss_cls: 0.9634, decode.d1.loss_mask: 0.8099, decode.d1.loss_dice: 1.3171, decode.d2.loss_cls: 0.9083, decode.d2.loss_mask: 0.7905, decode.d2.loss_dice: 1.2583, decode.d3.loss_cls: 0.8891, decode.d3.loss_mask: 0.7849, decode.d3.loss_dice: 1.2395, decode.d4.loss_cls: 0.8886, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.2344, decode.d5.loss_cls: 0.8799, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.2273, decode.d6.loss_cls: 0.8671, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.2238, decode.d7.loss_cls: 0.8741, decode.d7.loss_mask: 0.7811, decode.d7.loss_dice: 1.2205, decode.d8.loss_cls: 0.8686, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.2147, loss: 31.1968 2022-04-29 14:43:10,448 - mmseg - INFO - Iter [35900/80000] lr: 7.915e-07, eta: 22:35:00, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8598, decode.loss_mask: 0.8198, decode.loss_dice: 1.2085, decode.d0.loss_cls: 2.7725, decode.d0.loss_mask: 0.8173, decode.d0.loss_dice: 1.3978, decode.d1.loss_cls: 0.9352, decode.d1.loss_mask: 0.8497, decode.d1.loss_dice: 1.3052, decode.d2.loss_cls: 0.8851, decode.d2.loss_mask: 0.8334, decode.d2.loss_dice: 1.2571, decode.d3.loss_cls: 0.8659, decode.d3.loss_mask: 0.8243, decode.d3.loss_dice: 1.2371, decode.d4.loss_cls: 0.8602, decode.d4.loss_mask: 0.8234, decode.d4.loss_dice: 1.2217, decode.d5.loss_cls: 0.8615, decode.d5.loss_mask: 0.8215, decode.d5.loss_dice: 1.2195, decode.d6.loss_cls: 0.8503, decode.d6.loss_mask: 0.8193, decode.d6.loss_dice: 1.2125, decode.d7.loss_cls: 0.8556, decode.d7.loss_mask: 0.8209, decode.d7.loss_dice: 1.2132, decode.d8.loss_cls: 0.8545, decode.d8.loss_mask: 0.8187, decode.d8.loss_dice: 1.2122, loss: 31.3336 2022-04-29 14:44:39,843 - mmseg - INFO - Iter [35950/80000] lr: 7.906e-07, eta: 22:33:25, time: 1.788, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8376, decode.loss_mask: 0.7894, decode.loss_dice: 1.1872, decode.d0.loss_cls: 2.7011, decode.d0.loss_mask: 0.7996, decode.d0.loss_dice: 1.3548, decode.d1.loss_cls: 0.9326, decode.d1.loss_mask: 0.8237, decode.d1.loss_dice: 1.2880, decode.d2.loss_cls: 0.8675, decode.d2.loss_mask: 0.8091, decode.d2.loss_dice: 1.2307, decode.d3.loss_cls: 0.8495, decode.d3.loss_mask: 0.8003, decode.d3.loss_dice: 1.2026, decode.d4.loss_cls: 0.8388, decode.d4.loss_mask: 0.7960, decode.d4.loss_dice: 1.2054, decode.d5.loss_cls: 0.8388, decode.d5.loss_mask: 0.7912, decode.d5.loss_dice: 1.1975, decode.d6.loss_cls: 0.8390, decode.d6.loss_mask: 0.7898, decode.d6.loss_dice: 1.1864, decode.d7.loss_cls: 0.8345, decode.d7.loss_mask: 0.7921, decode.d7.loss_dice: 1.1808, decode.d8.loss_cls: 0.8413, decode.d8.loss_mask: 0.7920, decode.d8.loss_dice: 1.1845, loss: 30.5820 2022-04-29 14:46:09,634 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-04-29 14:46:33,510 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 14:46:33,514 - mmseg - INFO - Iter [36000/80000] lr: 7.897e-07, eta: 22:32:19, time: 2.270, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8750, decode.loss_mask: 0.7950, decode.loss_dice: 1.2171, decode.d0.loss_cls: 2.7129, decode.d0.loss_mask: 0.7950, decode.d0.loss_dice: 1.4160, decode.d1.loss_cls: 0.9498, decode.d1.loss_mask: 0.8205, decode.d1.loss_dice: 1.3284, decode.d2.loss_cls: 0.8966, decode.d2.loss_mask: 0.8137, decode.d2.loss_dice: 1.2622, decode.d3.loss_cls: 0.8877, decode.d3.loss_mask: 0.8001, decode.d3.loss_dice: 1.2429, decode.d4.loss_cls: 0.8781, decode.d4.loss_mask: 0.8014, decode.d4.loss_dice: 1.2449, decode.d5.loss_cls: 0.8732, decode.d5.loss_mask: 0.7971, decode.d5.loss_dice: 1.2330, decode.d6.loss_cls: 0.8724, decode.d6.loss_mask: 0.7968, decode.d6.loss_dice: 1.2270, decode.d7.loss_cls: 0.8772, decode.d7.loss_mask: 0.7926, decode.d7.loss_dice: 1.2288, decode.d8.loss_cls: 0.8714, decode.d8.loss_mask: 0.7950, decode.d8.loss_dice: 1.2243, loss: 31.3260 2022-04-29 14:48:03,415 - mmseg - INFO - Iter [36050/80000] lr: 7.888e-07, eta: 22:30:44, time: 1.801, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8715, decode.loss_mask: 0.8049, decode.loss_dice: 1.2475, decode.d0.loss_cls: 2.7266, decode.d0.loss_mask: 0.8034, decode.d0.loss_dice: 1.4341, decode.d1.loss_cls: 0.9571, decode.d1.loss_mask: 0.8312, decode.d1.loss_dice: 1.3350, decode.d2.loss_cls: 0.9028, decode.d2.loss_mask: 0.8125, decode.d2.loss_dice: 1.2763, decode.d3.loss_cls: 0.8929, decode.d3.loss_mask: 0.8102, decode.d3.loss_dice: 1.2606, decode.d4.loss_cls: 0.8851, decode.d4.loss_mask: 0.8052, decode.d4.loss_dice: 1.2609, decode.d5.loss_cls: 0.8843, decode.d5.loss_mask: 0.8080, decode.d5.loss_dice: 1.2559, decode.d6.loss_cls: 0.8783, decode.d6.loss_mask: 0.8083, decode.d6.loss_dice: 1.2484, decode.d7.loss_cls: 0.8714, decode.d7.loss_mask: 0.8022, decode.d7.loss_dice: 1.2466, decode.d8.loss_cls: 0.8690, decode.d8.loss_mask: 0.8102, decode.d8.loss_dice: 1.2569, loss: 31.6572 2022-04-29 14:49:33,383 - mmseg - INFO - Iter [36100/80000] lr: 7.879e-07, eta: 22:29:09, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8533, decode.loss_mask: 0.7621, decode.loss_dice: 1.1872, decode.d0.loss_cls: 2.7387, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3831, decode.d1.loss_cls: 0.9323, decode.d1.loss_mask: 0.8017, decode.d1.loss_dice: 1.2874, decode.d2.loss_cls: 0.8786, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2331, decode.d3.loss_cls: 0.8695, decode.d3.loss_mask: 0.7707, decode.d3.loss_dice: 1.2018, decode.d4.loss_cls: 0.8655, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.2076, decode.d5.loss_cls: 0.8559, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.2016, decode.d6.loss_cls: 0.8545, decode.d6.loss_mask: 0.7653, decode.d6.loss_dice: 1.1861, decode.d7.loss_cls: 0.8553, decode.d7.loss_mask: 0.7629, decode.d7.loss_dice: 1.1924, decode.d8.loss_cls: 0.8502, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.1877, loss: 30.5354 2022-04-29 14:51:02,477 - mmseg - INFO - Iter [36150/80000] lr: 7.870e-07, eta: 22:27:33, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8555, decode.loss_mask: 0.7533, decode.loss_dice: 1.2009, decode.d0.loss_cls: 2.7581, decode.d0.loss_mask: 0.7628, decode.d0.loss_dice: 1.4014, decode.d1.loss_cls: 0.9510, decode.d1.loss_mask: 0.7844, decode.d1.loss_dice: 1.3047, decode.d2.loss_cls: 0.8850, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2348, decode.d3.loss_cls: 0.8666, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.2186, decode.d4.loss_cls: 0.8626, decode.d4.loss_mask: 0.7632, decode.d4.loss_dice: 1.2253, decode.d5.loss_cls: 0.8598, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.2094, decode.d6.loss_cls: 0.8496, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.2021, decode.d7.loss_cls: 0.8577, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 0.8510, decode.d8.loss_mask: 0.7600, decode.d8.loss_dice: 1.2045, loss: 30.6319 2022-04-29 14:52:31,562 - mmseg - INFO - Iter [36200/80000] lr: 7.861e-07, eta: 22:25:57, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8580, decode.loss_mask: 0.7797, decode.loss_dice: 1.2219, decode.d0.loss_cls: 2.7324, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.4109, decode.d1.loss_cls: 0.9378, decode.d1.loss_mask: 0.8133, decode.d1.loss_dice: 1.3251, decode.d2.loss_cls: 0.8793, decode.d2.loss_mask: 0.7995, decode.d2.loss_dice: 1.2670, decode.d3.loss_cls: 0.8689, decode.d3.loss_mask: 0.7885, decode.d3.loss_dice: 1.2414, decode.d4.loss_cls: 0.8627, decode.d4.loss_mask: 0.7853, decode.d4.loss_dice: 1.2454, decode.d5.loss_cls: 0.8638, decode.d5.loss_mask: 0.7820, decode.d5.loss_dice: 1.2322, decode.d6.loss_cls: 0.8556, decode.d6.loss_mask: 0.7854, decode.d6.loss_dice: 1.2300, decode.d7.loss_cls: 0.8578, decode.d7.loss_mask: 0.7790, decode.d7.loss_dice: 1.2259, decode.d8.loss_cls: 0.8624, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.2201, loss: 31.0725 2022-04-29 14:54:01,357 - mmseg - INFO - Iter [36250/80000] lr: 7.852e-07, eta: 22:24:22, time: 1.796, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8501, decode.loss_mask: 0.7697, decode.loss_dice: 1.2151, decode.d0.loss_cls: 2.7389, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.4047, decode.d1.loss_cls: 0.9307, decode.d1.loss_mask: 0.8005, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 0.8739, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.2656, decode.d3.loss_cls: 0.8551, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.2361, decode.d4.loss_cls: 0.8469, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.2362, decode.d5.loss_cls: 0.8547, decode.d5.loss_mask: 0.7740, decode.d5.loss_dice: 1.2319, decode.d6.loss_cls: 0.8531, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.2120, decode.d7.loss_cls: 0.8457, decode.d7.loss_mask: 0.7621, decode.d7.loss_dice: 1.2208, decode.d8.loss_cls: 0.8483, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.2213, loss: 30.7884 2022-04-29 14:55:32,684 - mmseg - INFO - Iter [36300/80000] lr: 7.843e-07, eta: 22:22:49, time: 1.826, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8230, decode.loss_mask: 0.7876, decode.loss_dice: 1.2281, decode.d0.loss_cls: 2.6805, decode.d0.loss_mask: 0.7855, decode.d0.loss_dice: 1.3969, decode.d1.loss_cls: 0.8954, decode.d1.loss_mask: 0.8206, decode.d1.loss_dice: 1.3284, decode.d2.loss_cls: 0.8474, decode.d2.loss_mask: 0.8054, decode.d2.loss_dice: 1.2608, decode.d3.loss_cls: 0.8304, decode.d3.loss_mask: 0.7980, decode.d3.loss_dice: 1.2469, decode.d4.loss_cls: 0.8262, decode.d4.loss_mask: 0.7927, decode.d4.loss_dice: 1.2423, decode.d5.loss_cls: 0.8261, decode.d5.loss_mask: 0.7890, decode.d5.loss_dice: 1.2338, decode.d6.loss_cls: 0.8160, decode.d6.loss_mask: 0.7885, decode.d6.loss_dice: 1.2198, decode.d7.loss_cls: 0.8167, decode.d7.loss_mask: 0.7903, decode.d7.loss_dice: 1.2256, decode.d8.loss_cls: 0.8169, decode.d8.loss_mask: 0.7932, decode.d8.loss_dice: 1.2304, loss: 30.7424 2022-04-29 14:57:03,385 - mmseg - INFO - Iter [36350/80000] lr: 7.834e-07, eta: 22:21:15, time: 1.814, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8986, decode.loss_mask: 0.7772, decode.loss_dice: 1.2318, decode.d0.loss_cls: 2.8330, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.4295, decode.d1.loss_cls: 0.9866, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.3327, decode.d2.loss_cls: 0.9207, decode.d2.loss_mask: 0.7903, decode.d2.loss_dice: 1.2849, decode.d3.loss_cls: 0.9096, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.2490, decode.d4.loss_cls: 0.9119, decode.d4.loss_mask: 0.7775, decode.d4.loss_dice: 1.2442, decode.d5.loss_cls: 0.9104, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.2468, decode.d6.loss_cls: 0.9061, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.2274, decode.d7.loss_cls: 0.8972, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.2288, decode.d8.loss_cls: 0.9005, decode.d8.loss_mask: 0.7723, decode.d8.loss_dice: 1.2269, loss: 31.5756 2022-04-29 14:58:33,467 - mmseg - INFO - Iter [36400/80000] lr: 7.825e-07, eta: 22:19:40, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8324, decode.loss_mask: 0.7904, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.6921, decode.d0.loss_mask: 0.7845, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.9272, decode.d1.loss_mask: 0.8081, decode.d1.loss_dice: 1.2717, decode.d2.loss_cls: 0.8637, decode.d2.loss_mask: 0.7993, decode.d2.loss_dice: 1.2160, decode.d3.loss_cls: 0.8532, decode.d3.loss_mask: 0.7945, decode.d3.loss_dice: 1.1865, decode.d4.loss_cls: 0.8455, decode.d4.loss_mask: 0.7950, decode.d4.loss_dice: 1.1903, decode.d5.loss_cls: 0.8440, decode.d5.loss_mask: 0.7887, decode.d5.loss_dice: 1.1783, decode.d6.loss_cls: 0.8355, decode.d6.loss_mask: 0.7874, decode.d6.loss_dice: 1.1715, decode.d7.loss_cls: 0.8298, decode.d7.loss_mask: 0.7887, decode.d7.loss_dice: 1.1800, decode.d8.loss_cls: 0.8282, decode.d8.loss_mask: 0.7856, decode.d8.loss_dice: 1.1832, loss: 30.3980 2022-04-29 15:00:03,623 - mmseg - INFO - Iter [36450/80000] lr: 7.816e-07, eta: 22:18:06, time: 1.803, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8584, decode.loss_mask: 0.7874, decode.loss_dice: 1.1830, decode.d0.loss_cls: 2.7077, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.3650, decode.d1.loss_cls: 0.9413, decode.d1.loss_mask: 0.8182, decode.d1.loss_dice: 1.2770, decode.d2.loss_cls: 0.8736, decode.d2.loss_mask: 0.8024, decode.d2.loss_dice: 1.2297, decode.d3.loss_cls: 0.8647, decode.d3.loss_mask: 0.7972, decode.d3.loss_dice: 1.2036, decode.d4.loss_cls: 0.8576, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.2022, decode.d5.loss_cls: 0.8557, decode.d5.loss_mask: 0.7949, decode.d5.loss_dice: 1.2071, decode.d6.loss_cls: 0.8523, decode.d6.loss_mask: 0.7934, decode.d6.loss_dice: 1.1882, decode.d7.loss_cls: 0.8541, decode.d7.loss_mask: 0.7929, decode.d7.loss_dice: 1.1912, decode.d8.loss_cls: 0.8435, decode.d8.loss_mask: 0.7967, decode.d8.loss_dice: 1.1886, loss: 30.7097 2022-04-29 15:01:32,465 - mmseg - INFO - Iter [36500/80000] lr: 7.807e-07, eta: 22:16:29, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8522, decode.loss_mask: 0.7974, decode.loss_dice: 1.2433, decode.d0.loss_cls: 2.7494, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.4247, decode.d1.loss_cls: 0.9398, decode.d1.loss_mask: 0.8269, decode.d1.loss_dice: 1.3252, decode.d2.loss_cls: 0.8871, decode.d2.loss_mask: 0.8115, decode.d2.loss_dice: 1.2791, decode.d3.loss_cls: 0.8763, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2589, decode.d4.loss_cls: 0.8677, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.2544, decode.d5.loss_cls: 0.8606, decode.d5.loss_mask: 0.7962, decode.d5.loss_dice: 1.2517, decode.d6.loss_cls: 0.8597, decode.d6.loss_mask: 0.7898, decode.d6.loss_dice: 1.2467, decode.d7.loss_cls: 0.8503, decode.d7.loss_mask: 0.7942, decode.d7.loss_dice: 1.2406, decode.d8.loss_cls: 0.8518, decode.d8.loss_mask: 0.7957, decode.d8.loss_dice: 1.2393, loss: 31.3663 2022-04-29 15:03:01,702 - mmseg - INFO - Iter [36550/80000] lr: 7.798e-07, eta: 22:14:54, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8467, decode.loss_mask: 0.7824, decode.loss_dice: 1.2001, decode.d0.loss_cls: 2.6943, decode.d0.loss_mask: 0.7821, decode.d0.loss_dice: 1.3703, decode.d1.loss_cls: 0.9165, decode.d1.loss_mask: 0.8142, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.8656, decode.d2.loss_mask: 0.7984, decode.d2.loss_dice: 1.2453, decode.d3.loss_cls: 0.8549, decode.d3.loss_mask: 0.7920, decode.d3.loss_dice: 1.2246, decode.d4.loss_cls: 0.8485, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.2198, decode.d5.loss_cls: 0.8509, decode.d5.loss_mask: 0.7834, decode.d5.loss_dice: 1.2166, decode.d6.loss_cls: 0.8527, decode.d6.loss_mask: 0.7772, decode.d6.loss_dice: 1.1986, decode.d7.loss_cls: 0.8488, decode.d7.loss_mask: 0.7836, decode.d7.loss_dice: 1.2047, decode.d8.loss_cls: 0.8481, decode.d8.loss_mask: 0.7806, decode.d8.loss_dice: 1.2053, loss: 30.6842 2022-04-29 15:04:30,987 - mmseg - INFO - Iter [36600/80000] lr: 7.789e-07, eta: 22:13:18, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8165, decode.loss_mask: 0.7742, decode.loss_dice: 1.1821, decode.d0.loss_cls: 2.6944, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3610, decode.d1.loss_cls: 0.9044, decode.d1.loss_mask: 0.8066, decode.d1.loss_dice: 1.2739, decode.d2.loss_cls: 0.8564, decode.d2.loss_mask: 0.7933, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.8414, decode.d3.loss_mask: 0.7809, decode.d3.loss_dice: 1.1933, decode.d4.loss_cls: 0.8350, decode.d4.loss_mask: 0.7777, decode.d4.loss_dice: 1.1975, decode.d5.loss_cls: 0.8261, decode.d5.loss_mask: 0.7798, decode.d5.loss_dice: 1.1928, decode.d6.loss_cls: 0.8178, decode.d6.loss_mask: 0.7774, decode.d6.loss_dice: 1.1755, decode.d7.loss_cls: 0.8250, decode.d7.loss_mask: 0.7787, decode.d7.loss_dice: 1.1799, decode.d8.loss_cls: 0.8225, decode.d8.loss_mask: 0.7719, decode.d8.loss_dice: 1.1833, loss: 30.2188 2022-04-29 15:05:59,288 - mmseg - INFO - Iter [36650/80000] lr: 7.780e-07, eta: 22:11:41, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8431, decode.loss_mask: 0.7627, decode.loss_dice: 1.1669, decode.d0.loss_cls: 2.7287, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3544, decode.d1.loss_cls: 0.9308, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.2725, decode.d2.loss_cls: 0.8693, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.2175, decode.d3.loss_cls: 0.8554, decode.d3.loss_mask: 0.7706, decode.d3.loss_dice: 1.1983, decode.d4.loss_cls: 0.8474, decode.d4.loss_mask: 0.7736, decode.d4.loss_dice: 1.2003, decode.d5.loss_cls: 0.8497, decode.d5.loss_mask: 0.7715, decode.d5.loss_dice: 1.1856, decode.d6.loss_cls: 0.8469, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.1748, decode.d7.loss_cls: 0.8453, decode.d7.loss_mask: 0.7663, decode.d7.loss_dice: 1.1797, decode.d8.loss_cls: 0.8444, decode.d8.loss_mask: 0.7642, decode.d8.loss_dice: 1.1757, loss: 30.2991 2022-04-29 15:07:27,833 - mmseg - INFO - Iter [36700/80000] lr: 7.771e-07, eta: 22:10:05, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8468, decode.loss_mask: 0.8023, decode.loss_dice: 1.2199, decode.d0.loss_cls: 2.7347, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.4102, decode.d1.loss_cls: 0.9397, decode.d1.loss_mask: 0.8391, decode.d1.loss_dice: 1.3135, decode.d2.loss_cls: 0.8821, decode.d2.loss_mask: 0.8207, decode.d2.loss_dice: 1.2583, decode.d3.loss_cls: 0.8604, decode.d3.loss_mask: 0.8093, decode.d3.loss_dice: 1.2368, decode.d4.loss_cls: 0.8515, decode.d4.loss_mask: 0.8100, decode.d4.loss_dice: 1.2355, decode.d5.loss_cls: 0.8512, decode.d5.loss_mask: 0.8041, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8434, decode.d6.loss_mask: 0.8041, decode.d6.loss_dice: 1.2166, decode.d7.loss_cls: 0.8469, decode.d7.loss_mask: 0.7968, decode.d7.loss_dice: 1.2253, decode.d8.loss_cls: 0.8488, decode.d8.loss_mask: 0.7988, decode.d8.loss_dice: 1.2245, loss: 31.1526 2022-04-29 15:08:57,185 - mmseg - INFO - Iter [36750/80000] lr: 7.762e-07, eta: 22:08:30, time: 1.787, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8418, decode.loss_mask: 0.7868, decode.loss_dice: 1.2171, decode.d0.loss_cls: 2.7561, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.4160, decode.d1.loss_cls: 0.9341, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.3301, decode.d2.loss_cls: 0.8730, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2711, decode.d3.loss_cls: 0.8574, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.2388, decode.d4.loss_cls: 0.8501, decode.d4.loss_mask: 0.7906, decode.d4.loss_dice: 1.2409, decode.d5.loss_cls: 0.8458, decode.d5.loss_mask: 0.7866, decode.d5.loss_dice: 1.2312, decode.d6.loss_cls: 0.8431, decode.d6.loss_mask: 0.7891, decode.d6.loss_dice: 1.2262, decode.d7.loss_cls: 0.8386, decode.d7.loss_mask: 0.7842, decode.d7.loss_dice: 1.2244, decode.d8.loss_cls: 0.8395, decode.d8.loss_mask: 0.7853, decode.d8.loss_dice: 1.2194, loss: 30.9906 2022-04-29 15:10:27,142 - mmseg - INFO - Iter [36800/80000] lr: 7.753e-07, eta: 22:06:55, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8746, decode.loss_mask: 0.7894, decode.loss_dice: 1.2294, decode.d0.loss_cls: 2.7516, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.4167, decode.d1.loss_cls: 0.9653, decode.d1.loss_mask: 0.8251, decode.d1.loss_dice: 1.3250, decode.d2.loss_cls: 0.9112, decode.d2.loss_mask: 0.8077, decode.d2.loss_dice: 1.2716, decode.d3.loss_cls: 0.8944, decode.d3.loss_mask: 0.7971, decode.d3.loss_dice: 1.2483, decode.d4.loss_cls: 0.8814, decode.d4.loss_mask: 0.7936, decode.d4.loss_dice: 1.2450, decode.d5.loss_cls: 0.8729, decode.d5.loss_mask: 0.7931, decode.d5.loss_dice: 1.2419, decode.d6.loss_cls: 0.8719, decode.d6.loss_mask: 0.7915, decode.d6.loss_dice: 1.2340, decode.d7.loss_cls: 0.8741, decode.d7.loss_mask: 0.7896, decode.d7.loss_dice: 1.2293, decode.d8.loss_cls: 0.8664, decode.d8.loss_mask: 0.7862, decode.d8.loss_dice: 1.2314, loss: 31.3977 2022-04-29 15:11:58,106 - mmseg - INFO - Iter [36850/80000] lr: 7.745e-07, eta: 22:05:21, time: 1.819, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8399, decode.loss_mask: 0.7568, decode.loss_dice: 1.1958, decode.d0.loss_cls: 2.7353, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.3910, decode.d1.loss_cls: 0.9418, decode.d1.loss_mask: 0.7847, decode.d1.loss_dice: 1.2849, decode.d2.loss_cls: 0.8766, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.8510, decode.d3.loss_mask: 0.7627, decode.d3.loss_dice: 1.2144, decode.d4.loss_cls: 0.8509, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.2076, decode.d5.loss_cls: 0.8402, decode.d5.loss_mask: 0.7575, decode.d5.loss_dice: 1.2087, decode.d6.loss_cls: 0.8413, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.1936, decode.d7.loss_cls: 0.8457, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1897, decode.d8.loss_cls: 0.8392, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.2015, loss: 30.3983 2022-04-29 15:13:28,366 - mmseg - INFO - Iter [36900/80000] lr: 7.736e-07, eta: 22:03:47, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8350, decode.loss_mask: 0.8031, decode.loss_dice: 1.2148, decode.d0.loss_cls: 2.6760, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.4092, decode.d1.loss_cls: 0.9066, decode.d1.loss_mask: 0.8443, decode.d1.loss_dice: 1.3194, decode.d2.loss_cls: 0.8546, decode.d2.loss_mask: 0.8298, decode.d2.loss_dice: 1.2597, decode.d3.loss_cls: 0.8427, decode.d3.loss_mask: 0.8167, decode.d3.loss_dice: 1.2350, decode.d4.loss_cls: 0.8427, decode.d4.loss_mask: 0.8092, decode.d4.loss_dice: 1.2302, decode.d5.loss_cls: 0.8269, decode.d5.loss_mask: 0.8087, decode.d5.loss_dice: 1.2288, decode.d6.loss_cls: 0.8296, decode.d6.loss_mask: 0.8045, decode.d6.loss_dice: 1.2153, decode.d7.loss_cls: 0.8285, decode.d7.loss_mask: 0.8046, decode.d7.loss_dice: 1.2202, decode.d8.loss_cls: 0.8283, decode.d8.loss_mask: 0.8028, decode.d8.loss_dice: 1.2184, loss: 30.9505 2022-04-29 15:14:58,742 - mmseg - INFO - Iter [36950/80000] lr: 7.727e-07, eta: 22:02:13, time: 1.806, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8613, decode.loss_mask: 0.7931, decode.loss_dice: 1.2063, decode.d0.loss_cls: 2.7324, decode.d0.loss_mask: 0.8010, decode.d0.loss_dice: 1.3825, decode.d1.loss_cls: 0.9344, decode.d1.loss_mask: 0.8282, decode.d1.loss_dice: 1.3054, decode.d2.loss_cls: 0.8821, decode.d2.loss_mask: 0.8125, decode.d2.loss_dice: 1.2518, decode.d3.loss_cls: 0.8685, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.2212, decode.d4.loss_cls: 0.8678, decode.d4.loss_mask: 0.8021, decode.d4.loss_dice: 1.2225, decode.d5.loss_cls: 0.8614, decode.d5.loss_mask: 0.8007, decode.d5.loss_dice: 1.2175, decode.d6.loss_cls: 0.8538, decode.d6.loss_mask: 0.7948, decode.d6.loss_dice: 1.2081, decode.d7.loss_cls: 0.8575, decode.d7.loss_mask: 0.7926, decode.d7.loss_dice: 1.2075, decode.d8.loss_cls: 0.8572, decode.d8.loss_mask: 0.7915, decode.d8.loss_dice: 1.2011, loss: 31.0195 2022-04-29 15:16:32,050 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-04-29 15:17:02,049 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 15:17:02,057 - mmseg - INFO - Iter [37000/80000] lr: 7.718e-07, eta: 22:01:17, time: 2.466, data_time: 0.065, memory: 64979, decode.loss_cls: 0.8645, decode.loss_mask: 0.7749, decode.loss_dice: 1.2082, decode.d0.loss_cls: 2.7163, decode.d0.loss_mask: 0.7877, decode.d0.loss_dice: 1.4011, decode.d1.loss_cls: 0.9496, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.3092, decode.d2.loss_cls: 0.8856, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2511, decode.d3.loss_cls: 0.8639, decode.d3.loss_mask: 0.7896, decode.d3.loss_dice: 1.2268, decode.d4.loss_cls: 0.8630, decode.d4.loss_mask: 0.7842, decode.d4.loss_dice: 1.2275, decode.d5.loss_cls: 0.8598, decode.d5.loss_mask: 0.7814, decode.d5.loss_dice: 1.2323, decode.d6.loss_cls: 0.8591, decode.d6.loss_mask: 0.7757, decode.d6.loss_dice: 1.2143, decode.d7.loss_cls: 0.8552, decode.d7.loss_mask: 0.7746, decode.d7.loss_dice: 1.2131, decode.d8.loss_cls: 0.8623, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.2096, loss: 30.9165 2022-04-29 15:18:31,944 - mmseg - INFO - Iter [37050/80000] lr: 7.709e-07, eta: 21:59:42, time: 1.800, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8461, decode.loss_mask: 0.7886, decode.loss_dice: 1.2400, decode.d0.loss_cls: 2.7698, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.4195, decode.d1.loss_cls: 0.9455, decode.d1.loss_mask: 0.8152, decode.d1.loss_dice: 1.3381, decode.d2.loss_cls: 0.8762, decode.d2.loss_mask: 0.8005, decode.d2.loss_dice: 1.2837, decode.d3.loss_cls: 0.8646, decode.d3.loss_mask: 0.7938, decode.d3.loss_dice: 1.2502, decode.d4.loss_cls: 0.8501, decode.d4.loss_mask: 0.7959, decode.d4.loss_dice: 1.2597, decode.d5.loss_cls: 0.8461, decode.d5.loss_mask: 0.7906, decode.d5.loss_dice: 1.2545, decode.d6.loss_cls: 0.8444, decode.d6.loss_mask: 0.7882, decode.d6.loss_dice: 1.2391, decode.d7.loss_cls: 0.8397, decode.d7.loss_mask: 0.7885, decode.d7.loss_dice: 1.2385, decode.d8.loss_cls: 0.8393, decode.d8.loss_mask: 0.7891, decode.d8.loss_dice: 1.2409, loss: 31.2233 2022-04-29 15:20:01,466 - mmseg - INFO - Iter [37100/80000] lr: 7.700e-07, eta: 21:58:07, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8542, decode.loss_mask: 0.7764, decode.loss_dice: 1.2096, decode.d0.loss_cls: 2.7908, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.3967, decode.d1.loss_cls: 0.9477, decode.d1.loss_mask: 0.8058, decode.d1.loss_dice: 1.3049, decode.d2.loss_cls: 0.8917, decode.d2.loss_mask: 0.7899, decode.d2.loss_dice: 1.2457, decode.d3.loss_cls: 0.8693, decode.d3.loss_mask: 0.7866, decode.d3.loss_dice: 1.2237, decode.d4.loss_cls: 0.8633, decode.d4.loss_mask: 0.7841, decode.d4.loss_dice: 1.2192, decode.d5.loss_cls: 0.8646, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2126, decode.d6.loss_cls: 0.8554, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.2128, decode.d7.loss_cls: 0.8565, decode.d7.loss_mask: 0.7736, decode.d7.loss_dice: 1.2178, decode.d8.loss_cls: 0.8555, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.2173, loss: 30.9457 2022-04-29 15:21:30,480 - mmseg - INFO - Iter [37150/80000] lr: 7.691e-07, eta: 21:56:31, time: 1.780, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8084, decode.loss_mask: 0.7628, decode.loss_dice: 1.1438, decode.d0.loss_cls: 2.6960, decode.d0.loss_mask: 0.7582, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 0.8913, decode.d1.loss_mask: 0.7906, decode.d1.loss_dice: 1.2404, decode.d2.loss_cls: 0.8381, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.1910, decode.d3.loss_cls: 0.8246, decode.d3.loss_mask: 0.7671, decode.d3.loss_dice: 1.1665, decode.d4.loss_cls: 0.8140, decode.d4.loss_mask: 0.7715, decode.d4.loss_dice: 1.1646, decode.d5.loss_cls: 0.8105, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.1547, decode.d6.loss_cls: 0.8040, decode.d6.loss_mask: 0.7650, decode.d6.loss_dice: 1.1496, decode.d7.loss_cls: 0.7996, decode.d7.loss_mask: 0.7646, decode.d7.loss_dice: 1.1511, decode.d8.loss_cls: 0.8032, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.1524, loss: 29.6217 2022-04-29 15:22:59,296 - mmseg - INFO - Iter [37200/80000] lr: 7.682e-07, eta: 21:54:55, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8550, decode.loss_mask: 0.7978, decode.loss_dice: 1.2348, decode.d0.loss_cls: 2.7304, decode.d0.loss_mask: 0.7837, decode.d0.loss_dice: 1.4083, decode.d1.loss_cls: 0.9411, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.3317, decode.d2.loss_cls: 0.8894, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.2801, decode.d3.loss_cls: 0.8714, decode.d3.loss_mask: 0.8040, decode.d3.loss_dice: 1.2546, decode.d4.loss_cls: 0.8712, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2496, decode.d5.loss_cls: 0.8600, decode.d5.loss_mask: 0.7980, decode.d5.loss_dice: 1.2470, decode.d6.loss_cls: 0.8593, decode.d6.loss_mask: 0.7945, decode.d6.loss_dice: 1.2365, decode.d7.loss_cls: 0.8546, decode.d7.loss_mask: 0.7925, decode.d7.loss_dice: 1.2382, decode.d8.loss_cls: 0.8543, decode.d8.loss_mask: 0.7940, decode.d8.loss_dice: 1.2369, loss: 31.2894 2022-04-29 15:24:28,087 - mmseg - INFO - Iter [37250/80000] lr: 7.673e-07, eta: 21:53:19, time: 1.777, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8123, decode.loss_mask: 0.7567, decode.loss_dice: 1.1740, decode.d0.loss_cls: 2.6838, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.3580, decode.d1.loss_cls: 0.8985, decode.d1.loss_mask: 0.7836, decode.d1.loss_dice: 1.2737, decode.d2.loss_cls: 0.8425, decode.d2.loss_mask: 0.7734, decode.d2.loss_dice: 1.2260, decode.d3.loss_cls: 0.8307, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.1974, decode.d4.loss_cls: 0.8279, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.2025, decode.d5.loss_cls: 0.8199, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.1921, decode.d6.loss_cls: 0.8116, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.1794, decode.d7.loss_cls: 0.8077, decode.d7.loss_mask: 0.7594, decode.d7.loss_dice: 1.1783, decode.d8.loss_cls: 0.8120, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.1762, loss: 29.9620 2022-04-29 15:25:57,382 - mmseg - INFO - Iter [37300/80000] lr: 7.664e-07, eta: 21:51:43, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8617, decode.loss_mask: 0.7794, decode.loss_dice: 1.2373, decode.d0.loss_cls: 2.7289, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.4226, decode.d1.loss_cls: 0.9465, decode.d1.loss_mask: 0.8072, decode.d1.loss_dice: 1.3317, decode.d2.loss_cls: 0.8926, decode.d2.loss_mask: 0.7949, decode.d2.loss_dice: 1.2861, decode.d3.loss_cls: 0.8807, decode.d3.loss_mask: 0.7853, decode.d3.loss_dice: 1.2565, decode.d4.loss_cls: 0.8705, decode.d4.loss_mask: 0.7827, decode.d4.loss_dice: 1.2573, decode.d5.loss_cls: 0.8733, decode.d5.loss_mask: 0.7811, decode.d5.loss_dice: 1.2516, decode.d6.loss_cls: 0.8584, decode.d6.loss_mask: 0.7788, decode.d6.loss_dice: 1.2426, decode.d7.loss_cls: 0.8557, decode.d7.loss_mask: 0.7815, decode.d7.loss_dice: 1.2434, decode.d8.loss_cls: 0.8588, decode.d8.loss_mask: 0.7838, decode.d8.loss_dice: 1.2381, loss: 31.2502 2022-04-29 15:27:27,650 - mmseg - INFO - Iter [37350/80000] lr: 7.655e-07, eta: 21:50:09, time: 1.806, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8507, decode.loss_mask: 0.7790, decode.loss_dice: 1.2233, decode.d0.loss_cls: 2.7437, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.4076, decode.d1.loss_cls: 0.9398, decode.d1.loss_mask: 0.8073, decode.d1.loss_dice: 1.3044, decode.d2.loss_cls: 0.8817, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2527, decode.d3.loss_cls: 0.8585, decode.d3.loss_mask: 0.7856, decode.d3.loss_dice: 1.2372, decode.d4.loss_cls: 0.8549, decode.d4.loss_mask: 0.7813, decode.d4.loss_dice: 1.2318, decode.d5.loss_cls: 0.8539, decode.d5.loss_mask: 0.7813, decode.d5.loss_dice: 1.2272, decode.d6.loss_cls: 0.8430, decode.d6.loss_mask: 0.7851, decode.d6.loss_dice: 1.2182, decode.d7.loss_cls: 0.8508, decode.d7.loss_mask: 0.7783, decode.d7.loss_dice: 1.2139, decode.d8.loss_cls: 0.8494, decode.d8.loss_mask: 0.7807, decode.d8.loss_dice: 1.2218, loss: 30.9183 2022-04-29 15:28:56,328 - mmseg - INFO - Iter [37400/80000] lr: 7.646e-07, eta: 21:48:33, time: 1.774, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8476, decode.loss_mask: 0.7735, decode.loss_dice: 1.2144, decode.d0.loss_cls: 2.7213, decode.d0.loss_mask: 0.7718, decode.d0.loss_dice: 1.3917, decode.d1.loss_cls: 0.9364, decode.d1.loss_mask: 0.8054, decode.d1.loss_dice: 1.3139, decode.d2.loss_cls: 0.8773, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2556, decode.d3.loss_cls: 0.8628, decode.d3.loss_mask: 0.7805, decode.d3.loss_dice: 1.2288, decode.d4.loss_cls: 0.8544, decode.d4.loss_mask: 0.7785, decode.d4.loss_dice: 1.2282, decode.d5.loss_cls: 0.8539, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.2201, decode.d6.loss_cls: 0.8459, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.2102, decode.d7.loss_cls: 0.8480, decode.d7.loss_mask: 0.7758, decode.d7.loss_dice: 1.2141, decode.d8.loss_cls: 0.8427, decode.d8.loss_mask: 0.7737, decode.d8.loss_dice: 1.2199, loss: 30.7857 2022-04-29 15:30:25,529 - mmseg - INFO - Iter [37450/80000] lr: 7.637e-07, eta: 21:46:57, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7906, decode.loss_mask: 0.7797, decode.loss_dice: 1.2070, decode.d0.loss_cls: 2.6861, decode.d0.loss_mask: 0.7768, decode.d0.loss_dice: 1.3940, decode.d1.loss_cls: 0.8818, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.3026, decode.d2.loss_cls: 0.8183, decode.d2.loss_mask: 0.7945, decode.d2.loss_dice: 1.2466, decode.d3.loss_cls: 0.8090, decode.d3.loss_mask: 0.7803, decode.d3.loss_dice: 1.2206, decode.d4.loss_cls: 0.8015, decode.d4.loss_mask: 0.7824, decode.d4.loss_dice: 1.2237, decode.d5.loss_cls: 0.7957, decode.d5.loss_mask: 0.7806, decode.d5.loss_dice: 1.2156, decode.d6.loss_cls: 0.7889, decode.d6.loss_mask: 0.7770, decode.d6.loss_dice: 1.2041, decode.d7.loss_cls: 0.7856, decode.d7.loss_mask: 0.7799, decode.d7.loss_dice: 1.2063, decode.d8.loss_cls: 0.7868, decode.d8.loss_mask: 0.7726, decode.d8.loss_dice: 1.2058, loss: 30.1986 2022-04-29 15:31:54,759 - mmseg - INFO - Iter [37500/80000] lr: 7.628e-07, eta: 21:45:22, time: 1.785, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8431, decode.loss_mask: 0.7720, decode.loss_dice: 1.2012, decode.d0.loss_cls: 2.7534, decode.d0.loss_mask: 0.7720, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.9400, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.3022, decode.d2.loss_cls: 0.8778, decode.d2.loss_mask: 0.7825, decode.d2.loss_dice: 1.2357, decode.d3.loss_cls: 0.8619, decode.d3.loss_mask: 0.7768, decode.d3.loss_dice: 1.2124, decode.d4.loss_cls: 0.8541, decode.d4.loss_mask: 0.7720, decode.d4.loss_dice: 1.2120, decode.d5.loss_cls: 0.8473, decode.d5.loss_mask: 0.7769, decode.d5.loss_dice: 1.2124, decode.d6.loss_cls: 0.8474, decode.d6.loss_mask: 0.7723, decode.d6.loss_dice: 1.2017, decode.d7.loss_cls: 0.8488, decode.d7.loss_mask: 0.7648, decode.d7.loss_dice: 1.1966, decode.d8.loss_cls: 0.8416, decode.d8.loss_mask: 0.7690, decode.d8.loss_dice: 1.2045, loss: 30.6467 2022-04-29 15:33:24,219 - mmseg - INFO - Iter [37550/80000] lr: 7.619e-07, eta: 21:43:47, time: 1.789, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8433, decode.loss_mask: 0.7810, decode.loss_dice: 1.2145, decode.d0.loss_cls: 2.7464, decode.d0.loss_mask: 0.7750, decode.d0.loss_dice: 1.4173, decode.d1.loss_cls: 0.9349, decode.d1.loss_mask: 0.8154, decode.d1.loss_dice: 1.3269, decode.d2.loss_cls: 0.8754, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.2608, decode.d3.loss_cls: 0.8689, decode.d3.loss_mask: 0.7901, decode.d3.loss_dice: 1.2357, decode.d4.loss_cls: 0.8547, decode.d4.loss_mask: 0.7908, decode.d4.loss_dice: 1.2374, decode.d5.loss_cls: 0.8491, decode.d5.loss_mask: 0.7839, decode.d5.loss_dice: 1.2261, decode.d6.loss_cls: 0.8430, decode.d6.loss_mask: 0.7825, decode.d6.loss_dice: 1.2200, decode.d7.loss_cls: 0.8386, decode.d7.loss_mask: 0.7778, decode.d7.loss_dice: 1.2189, decode.d8.loss_cls: 0.8448, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.2156, loss: 30.9546 2022-04-29 15:34:53,317 - mmseg - INFO - Iter [37600/80000] lr: 7.610e-07, eta: 21:42:11, time: 1.782, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8179, decode.loss_mask: 0.7653, decode.loss_dice: 1.2046, decode.d0.loss_cls: 2.6885, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3926, decode.d1.loss_cls: 0.9094, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.3026, decode.d2.loss_cls: 0.8417, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.2588, decode.d3.loss_cls: 0.8275, decode.d3.loss_mask: 0.7701, decode.d3.loss_dice: 1.2270, decode.d4.loss_cls: 0.8249, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.2252, decode.d5.loss_cls: 0.8230, decode.d5.loss_mask: 0.7654, decode.d5.loss_dice: 1.2189, decode.d6.loss_cls: 0.8194, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.2115, decode.d7.loss_cls: 0.8186, decode.d7.loss_mask: 0.7630, decode.d7.loss_dice: 1.2047, decode.d8.loss_cls: 0.8127, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.2059, loss: 30.3405 2022-04-29 15:36:22,624 - mmseg - INFO - Iter [37650/80000] lr: 7.601e-07, eta: 21:40:36, time: 1.787, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8410, decode.loss_mask: 0.7758, decode.loss_dice: 1.2181, decode.d0.loss_cls: 2.7200, decode.d0.loss_mask: 0.7788, decode.d0.loss_dice: 1.4088, decode.d1.loss_cls: 0.9227, decode.d1.loss_mask: 0.8147, decode.d1.loss_dice: 1.3130, decode.d2.loss_cls: 0.8676, decode.d2.loss_mask: 0.7958, decode.d2.loss_dice: 1.2693, decode.d3.loss_cls: 0.8524, decode.d3.loss_mask: 0.7861, decode.d3.loss_dice: 1.2397, decode.d4.loss_cls: 0.8471, decode.d4.loss_mask: 0.7795, decode.d4.loss_dice: 1.2287, decode.d5.loss_cls: 0.8425, decode.d5.loss_mask: 0.7802, decode.d5.loss_dice: 1.2246, decode.d6.loss_cls: 0.8334, decode.d6.loss_mask: 0.7813, decode.d6.loss_dice: 1.2189, decode.d7.loss_cls: 0.8355, decode.d7.loss_mask: 0.7792, decode.d7.loss_dice: 1.2199, decode.d8.loss_cls: 0.8318, decode.d8.loss_mask: 0.7784, decode.d8.loss_dice: 1.2194, loss: 30.8044 2022-04-29 15:37:52,224 - mmseg - INFO - Iter [37700/80000] lr: 7.592e-07, eta: 21:39:01, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8065, decode.loss_mask: 0.7638, decode.loss_dice: 1.1873, decode.d0.loss_cls: 2.7107, decode.d0.loss_mask: 0.7697, decode.d0.loss_dice: 1.3609, decode.d1.loss_cls: 0.8822, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2670, decode.d2.loss_cls: 0.8291, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2272, decode.d3.loss_cls: 0.8129, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.2006, decode.d4.loss_cls: 0.8008, decode.d4.loss_mask: 0.7727, decode.d4.loss_dice: 1.2032, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7690, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.7954, decode.d6.loss_mask: 0.7647, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.7936, decode.d7.loss_mask: 0.7673, decode.d7.loss_dice: 1.1898, decode.d8.loss_cls: 0.7971, decode.d8.loss_mask: 0.7659, decode.d8.loss_dice: 1.1873, loss: 29.9753 2022-04-29 15:39:21,201 - mmseg - INFO - Iter [37750/80000] lr: 7.583e-07, eta: 21:37:25, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8380, decode.loss_mask: 0.7564, decode.loss_dice: 1.2248, decode.d0.loss_cls: 2.7523, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.4060, decode.d1.loss_cls: 0.9355, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.3225, decode.d2.loss_cls: 0.8689, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.2643, decode.d3.loss_cls: 0.8561, decode.d3.loss_mask: 0.7594, decode.d3.loss_dice: 1.2311, decode.d4.loss_cls: 0.8508, decode.d4.loss_mask: 0.7591, decode.d4.loss_dice: 1.2354, decode.d5.loss_cls: 0.8503, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.2255, decode.d6.loss_cls: 0.8471, decode.d6.loss_mask: 0.7534, decode.d6.loss_dice: 1.2166, decode.d7.loss_cls: 0.8438, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.2217, decode.d8.loss_cls: 0.8351, decode.d8.loss_mask: 0.7573, decode.d8.loss_dice: 1.2238, loss: 30.6617 2022-04-29 15:40:50,547 - mmseg - INFO - Iter [37800/80000] lr: 7.574e-07, eta: 21:35:50, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8227, decode.loss_mask: 0.7905, decode.loss_dice: 1.1815, decode.d0.loss_cls: 2.6882, decode.d0.loss_mask: 0.7914, decode.d0.loss_dice: 1.3671, decode.d1.loss_cls: 0.9075, decode.d1.loss_mask: 0.8198, decode.d1.loss_dice: 1.2735, decode.d2.loss_cls: 0.8548, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.2231, decode.d3.loss_cls: 0.8443, decode.d3.loss_mask: 0.7911, decode.d3.loss_dice: 1.1967, decode.d4.loss_cls: 0.8290, decode.d4.loss_mask: 0.7905, decode.d4.loss_dice: 1.1970, decode.d5.loss_cls: 0.8312, decode.d5.loss_mask: 0.7889, decode.d5.loss_dice: 1.1942, decode.d6.loss_cls: 0.8251, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.1776, decode.d7.loss_cls: 0.8247, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.1807, decode.d8.loss_cls: 0.8221, decode.d8.loss_mask: 0.7917, decode.d8.loss_dice: 1.1834, loss: 30.3618 2022-04-29 15:42:19,623 - mmseg - INFO - Iter [37850/80000] lr: 7.565e-07, eta: 21:34:15, time: 1.781, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8201, decode.loss_mask: 0.7773, decode.loss_dice: 1.1957, decode.d0.loss_cls: 2.7291, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.3810, decode.d1.loss_cls: 0.9266, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.2851, decode.d2.loss_cls: 0.8701, decode.d2.loss_mask: 0.7913, decode.d2.loss_dice: 1.2393, decode.d3.loss_cls: 0.8507, decode.d3.loss_mask: 0.7859, decode.d3.loss_dice: 1.2108, decode.d4.loss_cls: 0.8347, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2090, decode.d5.loss_cls: 0.8261, decode.d5.loss_mask: 0.7791, decode.d5.loss_dice: 1.2104, decode.d6.loss_cls: 0.8189, decode.d6.loss_mask: 0.7768, decode.d6.loss_dice: 1.1998, decode.d7.loss_cls: 0.8212, decode.d7.loss_mask: 0.7750, decode.d7.loss_dice: 1.1966, decode.d8.loss_cls: 0.8143, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.2004, loss: 30.4611 2022-04-29 15:43:49,387 - mmseg - INFO - Iter [37900/80000] lr: 7.556e-07, eta: 21:32:40, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8274, decode.loss_mask: 0.7893, decode.loss_dice: 1.1894, decode.d0.loss_cls: 2.7088, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.3859, decode.d1.loss_cls: 0.9261, decode.d1.loss_mask: 0.8043, decode.d1.loss_dice: 1.2873, decode.d2.loss_cls: 0.8632, decode.d2.loss_mask: 0.7889, decode.d2.loss_dice: 1.2328, decode.d3.loss_cls: 0.8496, decode.d3.loss_mask: 0.7859, decode.d3.loss_dice: 1.2103, decode.d4.loss_cls: 0.8395, decode.d4.loss_mask: 0.7848, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 0.8356, decode.d5.loss_mask: 0.7819, decode.d5.loss_dice: 1.2063, decode.d6.loss_cls: 0.8339, decode.d6.loss_mask: 0.7817, decode.d6.loss_dice: 1.1891, decode.d7.loss_cls: 0.8284, decode.d7.loss_mask: 0.7871, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 0.8245, decode.d8.loss_mask: 0.7871, decode.d8.loss_dice: 1.1952, loss: 30.5188 2022-04-29 15:45:19,393 - mmseg - INFO - Iter [37950/80000] lr: 7.547e-07, eta: 21:31:05, time: 1.800, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8045, decode.loss_mask: 0.7886, decode.loss_dice: 1.1970, decode.d0.loss_cls: 2.6899, decode.d0.loss_mask: 0.7788, decode.d0.loss_dice: 1.3746, decode.d1.loss_cls: 0.8964, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.2870, decode.d2.loss_cls: 0.8425, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.8264, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2166, decode.d4.loss_cls: 0.8218, decode.d4.loss_mask: 0.7875, decode.d4.loss_dice: 1.2104, decode.d5.loss_cls: 0.8205, decode.d5.loss_mask: 0.7872, decode.d5.loss_dice: 1.2042, decode.d6.loss_cls: 0.8144, decode.d6.loss_mask: 0.7887, decode.d6.loss_dice: 1.1970, decode.d7.loss_cls: 0.8114, decode.d7.loss_mask: 0.7868, decode.d7.loss_dice: 1.1962, decode.d8.loss_cls: 0.8044, decode.d8.loss_mask: 0.7882, decode.d8.loss_dice: 1.1982, loss: 30.3531 2022-04-29 15:46:49,008 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-04-29 15:47:07,714 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 15:47:07,724 - mmseg - INFO - Iter [38000/80000] lr: 7.538e-07, eta: 21:29:51, time: 2.165, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8065, decode.loss_mask: 0.7992, decode.loss_dice: 1.2129, decode.d0.loss_cls: 2.6163, decode.d0.loss_mask: 0.7999, decode.d0.loss_dice: 1.3903, decode.d1.loss_cls: 0.8993, decode.d1.loss_mask: 0.8289, decode.d1.loss_dice: 1.3081, decode.d2.loss_cls: 0.8482, decode.d2.loss_mask: 0.8104, decode.d2.loss_dice: 1.2464, decode.d3.loss_cls: 0.8383, decode.d3.loss_mask: 0.8052, decode.d3.loss_dice: 1.2292, decode.d4.loss_cls: 0.8191, decode.d4.loss_mask: 0.8030, decode.d4.loss_dice: 1.2226, decode.d5.loss_cls: 0.8224, decode.d5.loss_mask: 0.8044, decode.d5.loss_dice: 1.2180, decode.d6.loss_cls: 0.8202, decode.d6.loss_mask: 0.8005, decode.d6.loss_dice: 1.2024, decode.d7.loss_cls: 0.8131, decode.d7.loss_mask: 0.7982, decode.d7.loss_dice: 1.2102, decode.d8.loss_cls: 0.8139, decode.d8.loss_mask: 0.7970, decode.d8.loss_dice: 1.2075, loss: 30.5917 2022-04-29 15:48:38,413 - mmseg - INFO - Iter [38050/80000] lr: 7.529e-07, eta: 21:28:17, time: 1.816, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8367, decode.loss_mask: 0.7967, decode.loss_dice: 1.1853, decode.d0.loss_cls: 2.7193, decode.d0.loss_mask: 0.8014, decode.d0.loss_dice: 1.3635, decode.d1.loss_cls: 0.9028, decode.d1.loss_mask: 0.8336, decode.d1.loss_dice: 1.2786, decode.d2.loss_cls: 0.8589, decode.d2.loss_mask: 0.8139, decode.d2.loss_dice: 1.2261, decode.d3.loss_cls: 0.8391, decode.d3.loss_mask: 0.8040, decode.d3.loss_dice: 1.2018, decode.d4.loss_cls: 0.8356, decode.d4.loss_mask: 0.8043, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.8399, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.1942, decode.d6.loss_cls: 0.8347, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.1832, decode.d7.loss_cls: 0.8402, decode.d7.loss_mask: 0.7926, decode.d7.loss_dice: 1.1848, decode.d8.loss_cls: 0.8303, decode.d8.loss_mask: 0.7997, decode.d8.loss_dice: 1.1875, loss: 30.5829 2022-04-29 15:50:08,128 - mmseg - INFO - Iter [38100/80000] lr: 7.520e-07, eta: 21:26:43, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7999, decode.loss_mask: 0.8047, decode.loss_dice: 1.2051, decode.d0.loss_cls: 2.6759, decode.d0.loss_mask: 0.8005, decode.d0.loss_dice: 1.3872, decode.d1.loss_cls: 0.8864, decode.d1.loss_mask: 0.8329, decode.d1.loss_dice: 1.3000, decode.d2.loss_cls: 0.8284, decode.d2.loss_mask: 0.8144, decode.d2.loss_dice: 1.2577, decode.d3.loss_cls: 0.8073, decode.d3.loss_mask: 0.8069, decode.d3.loss_dice: 1.2323, decode.d4.loss_cls: 0.8006, decode.d4.loss_mask: 0.8072, decode.d4.loss_dice: 1.2314, decode.d5.loss_cls: 0.7996, decode.d5.loss_mask: 0.8042, decode.d5.loss_dice: 1.2240, decode.d6.loss_cls: 0.7978, decode.d6.loss_mask: 0.8018, decode.d6.loss_dice: 1.2086, decode.d7.loss_cls: 0.7973, decode.d7.loss_mask: 0.8038, decode.d7.loss_dice: 1.2070, decode.d8.loss_cls: 0.7962, decode.d8.loss_mask: 0.8082, decode.d8.loss_dice: 1.2078, loss: 30.5350 2022-04-29 15:51:37,632 - mmseg - INFO - Iter [38150/80000] lr: 7.511e-07, eta: 21:25:08, time: 1.790, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8185, decode.loss_mask: 0.8019, decode.loss_dice: 1.2287, decode.d0.loss_cls: 2.6793, decode.d0.loss_mask: 0.7871, decode.d0.loss_dice: 1.4235, decode.d1.loss_cls: 0.9108, decode.d1.loss_mask: 0.8308, decode.d1.loss_dice: 1.3221, decode.d2.loss_cls: 0.8634, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2707, decode.d3.loss_cls: 0.8389, decode.d3.loss_mask: 0.8004, decode.d3.loss_dice: 1.2433, decode.d4.loss_cls: 0.8313, decode.d4.loss_mask: 0.8042, decode.d4.loss_dice: 1.2463, decode.d5.loss_cls: 0.8287, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.2418, decode.d6.loss_cls: 0.8249, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.2249, decode.d7.loss_cls: 0.8260, decode.d7.loss_mask: 0.7993, decode.d7.loss_dice: 1.2225, decode.d8.loss_cls: 0.8164, decode.d8.loss_mask: 0.8014, decode.d8.loss_dice: 1.2304, loss: 30.9232 2022-04-29 15:53:07,847 - mmseg - INFO - Iter [38200/80000] lr: 7.502e-07, eta: 21:23:33, time: 1.804, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8311, decode.loss_mask: 0.7586, decode.loss_dice: 1.2191, decode.d0.loss_cls: 2.7333, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.4060, decode.d1.loss_cls: 0.9252, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.3075, decode.d2.loss_cls: 0.8571, decode.d2.loss_mask: 0.7738, decode.d2.loss_dice: 1.2621, decode.d3.loss_cls: 0.8570, decode.d3.loss_mask: 0.7625, decode.d3.loss_dice: 1.2398, decode.d4.loss_cls: 0.8408, decode.d4.loss_mask: 0.7632, decode.d4.loss_dice: 1.2368, decode.d5.loss_cls: 0.8344, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.2333, decode.d6.loss_cls: 0.8311, decode.d6.loss_mask: 0.7531, decode.d6.loss_dice: 1.2236, decode.d7.loss_cls: 0.8305, decode.d7.loss_mask: 0.7576, decode.d7.loss_dice: 1.2229, decode.d8.loss_cls: 0.8299, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.2261, loss: 30.5810 2022-04-29 15:54:36,812 - mmseg - INFO - Iter [38250/80000] lr: 7.493e-07, eta: 21:21:58, time: 1.780, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8616, decode.loss_mask: 0.7589, decode.loss_dice: 1.2014, decode.d0.loss_cls: 2.7160, decode.d0.loss_mask: 0.7621, decode.d0.loss_dice: 1.4020, decode.d1.loss_cls: 0.9572, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2997, decode.d2.loss_cls: 0.9001, decode.d2.loss_mask: 0.7766, decode.d2.loss_dice: 1.2514, decode.d3.loss_cls: 0.8779, decode.d3.loss_mask: 0.7678, decode.d3.loss_dice: 1.2212, decode.d4.loss_cls: 0.8691, decode.d4.loss_mask: 0.7662, decode.d4.loss_dice: 1.2216, decode.d5.loss_cls: 0.8591, decode.d5.loss_mask: 0.7674, decode.d5.loss_dice: 1.2140, decode.d6.loss_cls: 0.8612, decode.d6.loss_mask: 0.7607, decode.d6.loss_dice: 1.1995, decode.d7.loss_cls: 0.8601, decode.d7.loss_mask: 0.7632, decode.d7.loss_dice: 1.2036, decode.d8.loss_cls: 0.8538, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.2052, loss: 30.7122 2022-04-29 15:56:06,518 - mmseg - INFO - Iter [38300/80000] lr: 7.484e-07, eta: 21:20:23, time: 1.793, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8369, decode.loss_mask: 0.7830, decode.loss_dice: 1.2000, decode.d0.loss_cls: 2.7388, decode.d0.loss_mask: 0.7946, decode.d0.loss_dice: 1.3719, decode.d1.loss_cls: 0.9323, decode.d1.loss_mask: 0.8202, decode.d1.loss_dice: 1.2882, decode.d2.loss_cls: 0.8721, decode.d2.loss_mask: 0.7959, decode.d2.loss_dice: 1.2438, decode.d3.loss_cls: 0.8537, decode.d3.loss_mask: 0.7890, decode.d3.loss_dice: 1.2098, decode.d4.loss_cls: 0.8481, decode.d4.loss_mask: 0.7852, decode.d4.loss_dice: 1.2100, decode.d5.loss_cls: 0.8495, decode.d5.loss_mask: 0.7838, decode.d5.loss_dice: 1.2061, decode.d6.loss_cls: 0.8463, decode.d6.loss_mask: 0.7824, decode.d6.loss_dice: 1.1928, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.7825, decode.d7.loss_dice: 1.1920, decode.d8.loss_cls: 0.8375, decode.d8.loss_mask: 0.7809, decode.d8.loss_dice: 1.1926, loss: 30.6621 2022-04-29 15:57:35,665 - mmseg - INFO - Iter [38350/80000] lr: 7.475e-07, eta: 21:18:48, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8418, decode.loss_mask: 0.7923, decode.loss_dice: 1.2234, decode.d0.loss_cls: 2.7179, decode.d0.loss_mask: 0.7945, decode.d0.loss_dice: 1.3892, decode.d1.loss_cls: 0.9339, decode.d1.loss_mask: 0.8196, decode.d1.loss_dice: 1.3131, decode.d2.loss_cls: 0.8778, decode.d2.loss_mask: 0.8029, decode.d2.loss_dice: 1.2590, decode.d3.loss_cls: 0.8609, decode.d3.loss_mask: 0.8009, decode.d3.loss_dice: 1.2396, decode.d4.loss_cls: 0.8512, decode.d4.loss_mask: 0.7958, decode.d4.loss_dice: 1.2387, decode.d5.loss_cls: 0.8512, decode.d5.loss_mask: 0.7931, decode.d5.loss_dice: 1.2276, decode.d6.loss_cls: 0.8475, decode.d6.loss_mask: 0.7898, decode.d6.loss_dice: 1.2195, decode.d7.loss_cls: 0.8434, decode.d7.loss_mask: 0.7927, decode.d7.loss_dice: 1.2224, decode.d8.loss_cls: 0.8435, decode.d8.loss_mask: 0.7902, decode.d8.loss_dice: 1.2253, loss: 30.9988 2022-04-29 15:59:05,278 - mmseg - INFO - Iter [38400/80000] lr: 7.466e-07, eta: 21:17:13, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8884, decode.loss_mask: 0.7610, decode.loss_dice: 1.2192, decode.d0.loss_cls: 2.7476, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.4218, decode.d1.loss_cls: 0.9490, decode.d1.loss_mask: 0.7977, decode.d1.loss_dice: 1.3264, decode.d2.loss_cls: 0.9029, decode.d2.loss_mask: 0.7818, decode.d2.loss_dice: 1.2672, decode.d3.loss_cls: 0.8841, decode.d3.loss_mask: 0.7740, decode.d3.loss_dice: 1.2395, decode.d4.loss_cls: 0.8802, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.2411, decode.d5.loss_cls: 0.8879, decode.d5.loss_mask: 0.7678, decode.d5.loss_dice: 1.2303, decode.d6.loss_cls: 0.8851, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.2164, decode.d7.loss_cls: 0.8880, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.2224, decode.d8.loss_cls: 0.8782, decode.d8.loss_mask: 0.7626, decode.d8.loss_dice: 1.2255, loss: 31.1058 2022-04-29 16:00:36,801 - mmseg - INFO - Iter [38450/80000] lr: 7.457e-07, eta: 21:15:40, time: 1.830, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8628, decode.loss_mask: 0.7828, decode.loss_dice: 1.2528, decode.d0.loss_cls: 2.7702, decode.d0.loss_mask: 0.7778, decode.d0.loss_dice: 1.4334, decode.d1.loss_cls: 0.9382, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.3512, decode.d2.loss_cls: 0.8851, decode.d2.loss_mask: 0.8038, decode.d2.loss_dice: 1.2943, decode.d3.loss_cls: 0.8765, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.2694, decode.d4.loss_cls: 0.8769, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.2678, decode.d5.loss_cls: 0.8740, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.2575, decode.d6.loss_cls: 0.8660, decode.d6.loss_mask: 0.7901, decode.d6.loss_dice: 1.2490, decode.d7.loss_cls: 0.8622, decode.d7.loss_mask: 0.7884, decode.d7.loss_dice: 1.2556, decode.d8.loss_cls: 0.8595, decode.d8.loss_mask: 0.7907, decode.d8.loss_dice: 1.2551, loss: 31.5002 2022-04-29 16:02:06,691 - mmseg - INFO - Iter [38500/80000] lr: 7.448e-07, eta: 21:14:06, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8139, decode.loss_mask: 0.7826, decode.loss_dice: 1.1817, decode.d0.loss_cls: 2.6869, decode.d0.loss_mask: 0.7845, decode.d0.loss_dice: 1.3671, decode.d1.loss_cls: 0.9082, decode.d1.loss_mask: 0.8116, decode.d1.loss_dice: 1.2707, decode.d2.loss_cls: 0.8509, decode.d2.loss_mask: 0.7962, decode.d2.loss_dice: 1.2232, decode.d3.loss_cls: 0.8371, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.8254, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.1994, decode.d5.loss_cls: 0.8289, decode.d5.loss_mask: 0.7821, decode.d5.loss_dice: 1.1919, decode.d6.loss_cls: 0.8183, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.1813, decode.d7.loss_cls: 0.8141, decode.d7.loss_mask: 0.7853, decode.d7.loss_dice: 1.1832, decode.d8.loss_cls: 0.8076, decode.d8.loss_mask: 0.7830, decode.d8.loss_dice: 1.1783, loss: 30.2471 2022-04-29 16:03:35,708 - mmseg - INFO - Iter [38550/80000] lr: 7.439e-07, eta: 21:12:30, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8385, decode.loss_mask: 0.7838, decode.loss_dice: 1.2119, decode.d0.loss_cls: 2.7748, decode.d0.loss_mask: 0.7861, decode.d0.loss_dice: 1.3928, decode.d1.loss_cls: 0.9182, decode.d1.loss_mask: 0.8117, decode.d1.loss_dice: 1.3113, decode.d2.loss_cls: 0.8724, decode.d2.loss_mask: 0.7971, decode.d2.loss_dice: 1.2599, decode.d3.loss_cls: 0.8545, decode.d3.loss_mask: 0.7893, decode.d3.loss_dice: 1.2340, decode.d4.loss_cls: 0.8416, decode.d4.loss_mask: 0.7909, decode.d4.loss_dice: 1.2385, decode.d5.loss_cls: 0.8346, decode.d5.loss_mask: 0.7893, decode.d5.loss_dice: 1.2341, decode.d6.loss_cls: 0.8332, decode.d6.loss_mask: 0.7836, decode.d6.loss_dice: 1.2238, decode.d7.loss_cls: 0.8336, decode.d7.loss_mask: 0.7856, decode.d7.loss_dice: 1.2221, decode.d8.loss_cls: 0.8282, decode.d8.loss_mask: 0.7848, decode.d8.loss_dice: 1.2202, loss: 30.8803 2022-04-29 16:05:05,062 - mmseg - INFO - Iter [38600/80000] lr: 7.430e-07, eta: 21:10:55, time: 1.787, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8159, decode.loss_mask: 0.7856, decode.loss_dice: 1.1807, decode.d0.loss_cls: 2.6570, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3669, decode.d1.loss_cls: 0.8950, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.2711, decode.d2.loss_cls: 0.8407, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2250, decode.d3.loss_cls: 0.8301, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.1934, decode.d4.loss_cls: 0.8217, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.1950, decode.d5.loss_cls: 0.8187, decode.d5.loss_mask: 0.7850, decode.d5.loss_dice: 1.1853, decode.d6.loss_cls: 0.8178, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.1793, decode.d7.loss_cls: 0.8163, decode.d7.loss_mask: 0.7802, decode.d7.loss_dice: 1.1801, decode.d8.loss_cls: 0.8069, decode.d8.loss_mask: 0.7869, decode.d8.loss_dice: 1.1809, loss: 30.1562 2022-04-29 16:06:33,736 - mmseg - INFO - Iter [38650/80000] lr: 7.421e-07, eta: 21:09:19, time: 1.772, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8361, decode.loss_mask: 0.7740, decode.loss_dice: 1.1947, decode.d0.loss_cls: 2.7140, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3776, decode.d1.loss_cls: 0.9176, decode.d1.loss_mask: 0.8064, decode.d1.loss_dice: 1.2963, decode.d2.loss_cls: 0.8756, decode.d2.loss_mask: 0.7915, decode.d2.loss_dice: 1.2453, decode.d3.loss_cls: 0.8563, decode.d3.loss_mask: 0.7794, decode.d3.loss_dice: 1.2157, decode.d4.loss_cls: 0.8461, decode.d4.loss_mask: 0.7800, decode.d4.loss_dice: 1.2140, decode.d5.loss_cls: 0.8479, decode.d5.loss_mask: 0.7787, decode.d5.loss_dice: 1.2107, decode.d6.loss_cls: 0.8426, decode.d6.loss_mask: 0.7720, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.8375, decode.d7.loss_mask: 0.7759, decode.d7.loss_dice: 1.2010, decode.d8.loss_cls: 0.8317, decode.d8.loss_mask: 0.7753, decode.d8.loss_dice: 1.2014, loss: 30.5580 2022-04-29 16:08:02,789 - mmseg - INFO - Iter [38700/80000] lr: 7.412e-07, eta: 21:07:44, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8597, decode.loss_mask: 0.8066, decode.loss_dice: 1.2460, decode.d0.loss_cls: 2.6856, decode.d0.loss_mask: 0.8171, decode.d0.loss_dice: 1.4280, decode.d1.loss_cls: 0.9363, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.3347, decode.d2.loss_cls: 0.8857, decode.d2.loss_mask: 0.8236, decode.d2.loss_dice: 1.2881, decode.d3.loss_cls: 0.8658, decode.d3.loss_mask: 0.8145, decode.d3.loss_dice: 1.2634, decode.d4.loss_cls: 0.8625, decode.d4.loss_mask: 0.8153, decode.d4.loss_dice: 1.2576, decode.d5.loss_cls: 0.8625, decode.d5.loss_mask: 0.8093, decode.d5.loss_dice: 1.2534, decode.d6.loss_cls: 0.8651, decode.d6.loss_mask: 0.8088, decode.d6.loss_dice: 1.2446, decode.d7.loss_cls: 0.8612, decode.d7.loss_mask: 0.8082, decode.d7.loss_dice: 1.2456, decode.d8.loss_cls: 0.8555, decode.d8.loss_mask: 0.8076, decode.d8.loss_dice: 1.2466, loss: 31.5017 2022-04-29 16:09:33,030 - mmseg - INFO - Iter [38750/80000] lr: 7.404e-07, eta: 21:06:10, time: 1.804, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8327, decode.loss_mask: 0.7821, decode.loss_dice: 1.2151, decode.d0.loss_cls: 2.7296, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.3943, decode.d1.loss_cls: 0.9189, decode.d1.loss_mask: 0.8127, decode.d1.loss_dice: 1.2984, decode.d2.loss_cls: 0.8673, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2504, decode.d3.loss_cls: 0.8509, decode.d3.loss_mask: 0.7797, decode.d3.loss_dice: 1.2273, decode.d4.loss_cls: 0.8408, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.2282, decode.d5.loss_cls: 0.8417, decode.d5.loss_mask: 0.7790, decode.d5.loss_dice: 1.2265, decode.d6.loss_cls: 0.8360, decode.d6.loss_mask: 0.7783, decode.d6.loss_dice: 1.2152, decode.d7.loss_cls: 0.8345, decode.d7.loss_mask: 0.7772, decode.d7.loss_dice: 1.2198, decode.d8.loss_cls: 0.8358, decode.d8.loss_mask: 0.7762, decode.d8.loss_dice: 1.2169, loss: 30.7179 2022-04-29 16:11:03,421 - mmseg - INFO - Iter [38800/80000] lr: 7.395e-07, eta: 21:04:36, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8353, decode.loss_mask: 0.7660, decode.loss_dice: 1.2118, decode.d0.loss_cls: 2.7023, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.3911, decode.d1.loss_cls: 0.9228, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.3075, decode.d2.loss_cls: 0.8669, decode.d2.loss_mask: 0.7827, decode.d2.loss_dice: 1.2575, decode.d3.loss_cls: 0.8544, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.2301, decode.d4.loss_cls: 0.8451, decode.d4.loss_mask: 0.7723, decode.d4.loss_dice: 1.2248, decode.d5.loss_cls: 0.8392, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.2242, decode.d6.loss_cls: 0.8355, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.2126, decode.d7.loss_cls: 0.8343, decode.d7.loss_mask: 0.7656, decode.d7.loss_dice: 1.2141, decode.d8.loss_cls: 0.8339, decode.d8.loss_mask: 0.7716, decode.d8.loss_dice: 1.2150, loss: 30.5872 2022-04-29 16:12:33,901 - mmseg - INFO - Iter [38850/80000] lr: 7.386e-07, eta: 21:03:02, time: 1.809, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8354, decode.loss_mask: 0.7641, decode.loss_dice: 1.1888, decode.d0.loss_cls: 2.7062, decode.d0.loss_mask: 0.7579, decode.d0.loss_dice: 1.3555, decode.d1.loss_cls: 0.9213, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.2708, decode.d2.loss_cls: 0.8703, decode.d2.loss_mask: 0.7805, decode.d2.loss_dice: 1.2199, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.2005, decode.d4.loss_cls: 0.8505, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.1913, decode.d5.loss_cls: 0.8477, decode.d5.loss_mask: 0.7669, decode.d5.loss_dice: 1.1917, decode.d6.loss_cls: 0.8444, decode.d6.loss_mask: 0.7646, decode.d6.loss_dice: 1.1807, decode.d7.loss_cls: 0.8377, decode.d7.loss_mask: 0.7658, decode.d7.loss_dice: 1.1819, decode.d8.loss_cls: 0.8382, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.1795, loss: 30.2701 2022-04-29 16:14:03,642 - mmseg - INFO - Iter [38900/80000] lr: 7.377e-07, eta: 21:01:28, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7975, decode.loss_mask: 0.7721, decode.loss_dice: 1.1940, decode.d0.loss_cls: 2.6458, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.3737, decode.d1.loss_cls: 0.8843, decode.d1.loss_mask: 0.8021, decode.d1.loss_dice: 1.2957, decode.d2.loss_cls: 0.8371, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.2415, decode.d3.loss_cls: 0.8167, decode.d3.loss_mask: 0.7783, decode.d3.loss_dice: 1.2150, decode.d4.loss_cls: 0.8112, decode.d4.loss_mask: 0.7802, decode.d4.loss_dice: 1.2190, decode.d5.loss_cls: 0.8081, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.2021, decode.d6.loss_cls: 0.7977, decode.d6.loss_mask: 0.7692, decode.d6.loss_dice: 1.1957, decode.d7.loss_cls: 0.7959, decode.d7.loss_mask: 0.7686, decode.d7.loss_dice: 1.1983, decode.d8.loss_cls: 0.7922, decode.d8.loss_mask: 0.7722, decode.d8.loss_dice: 1.1999, loss: 30.0985 2022-04-29 16:15:33,784 - mmseg - INFO - Iter [38950/80000] lr: 7.368e-07, eta: 20:59:54, time: 1.803, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8420, decode.loss_mask: 0.7570, decode.loss_dice: 1.2182, decode.d0.loss_cls: 2.7657, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.4166, decode.d1.loss_cls: 0.9302, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.3330, decode.d2.loss_cls: 0.8802, decode.d2.loss_mask: 0.7729, decode.d2.loss_dice: 1.2685, decode.d3.loss_cls: 0.8531, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.2426, decode.d4.loss_cls: 0.8473, decode.d4.loss_mask: 0.7673, decode.d4.loss_dice: 1.2419, decode.d5.loss_cls: 0.8562, decode.d5.loss_mask: 0.7664, decode.d5.loss_dice: 1.2268, decode.d6.loss_cls: 0.8538, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.2150, decode.d7.loss_cls: 0.8465, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.2217, decode.d8.loss_cls: 0.8482, decode.d8.loss_mask: 0.7526, decode.d8.loss_dice: 1.2194, loss: 30.7702 2022-04-29 16:17:04,044 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-04-29 16:17:22,705 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 16:17:22,717 - mmseg - INFO - Iter [39000/80000] lr: 7.359e-07, eta: 20:58:39, time: 2.176, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8523, decode.loss_mask: 0.7876, decode.loss_dice: 1.2283, decode.d0.loss_cls: 2.7530, decode.d0.loss_mask: 0.7856, decode.d0.loss_dice: 1.4041, decode.d1.loss_cls: 0.9455, decode.d1.loss_mask: 0.8155, decode.d1.loss_dice: 1.3107, decode.d2.loss_cls: 0.8845, decode.d2.loss_mask: 0.7989, decode.d2.loss_dice: 1.2665, decode.d3.loss_cls: 0.8676, decode.d3.loss_mask: 0.7944, decode.d3.loss_dice: 1.2433, decode.d4.loss_cls: 0.8545, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2388, decode.d5.loss_cls: 0.8571, decode.d5.loss_mask: 0.7919, decode.d5.loss_dice: 1.2341, decode.d6.loss_cls: 0.8562, decode.d6.loss_mask: 0.7845, decode.d6.loss_dice: 1.2246, decode.d7.loss_cls: 0.8514, decode.d7.loss_mask: 0.7872, decode.d7.loss_dice: 1.2193, decode.d8.loss_cls: 0.8519, decode.d8.loss_mask: 0.7869, decode.d8.loss_dice: 1.2231, loss: 31.0959 2022-04-29 16:18:54,237 - mmseg - INFO - Iter [39050/80000] lr: 7.350e-07, eta: 20:57:07, time: 1.833, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7922, decode.loss_mask: 0.7775, decode.loss_dice: 1.1696, decode.d0.loss_cls: 2.6226, decode.d0.loss_mask: 0.7788, decode.d0.loss_dice: 1.3443, decode.d1.loss_cls: 0.8596, decode.d1.loss_mask: 0.8096, decode.d1.loss_dice: 1.2615, decode.d2.loss_cls: 0.8043, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.2110, decode.d3.loss_cls: 0.7911, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 0.7841, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.7900, decode.d5.loss_mask: 0.7929, decode.d5.loss_dice: 1.1821, decode.d6.loss_cls: 0.7826, decode.d6.loss_mask: 0.7881, decode.d6.loss_dice: 1.1699, decode.d7.loss_cls: 0.7836, decode.d7.loss_mask: 0.7817, decode.d7.loss_dice: 1.1682, decode.d8.loss_cls: 0.7831, decode.d8.loss_mask: 0.7858, decode.d8.loss_dice: 1.1691, loss: 29.7530 2022-04-29 16:20:25,062 - mmseg - INFO - Iter [39100/80000] lr: 7.341e-07, eta: 20:55:33, time: 1.817, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8308, decode.loss_mask: 0.7768, decode.loss_dice: 1.1983, decode.d0.loss_cls: 2.6982, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3750, decode.d1.loss_cls: 0.9129, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2781, decode.d2.loss_cls: 0.8537, decode.d2.loss_mask: 0.7954, decode.d2.loss_dice: 1.2357, decode.d3.loss_cls: 0.8386, decode.d3.loss_mask: 0.7843, decode.d3.loss_dice: 1.2109, decode.d4.loss_cls: 0.8375, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8355, decode.d5.loss_mask: 0.7813, decode.d5.loss_dice: 1.2116, decode.d6.loss_cls: 0.8328, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.8306, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.1965, decode.d8.loss_cls: 0.8322, decode.d8.loss_mask: 0.7801, decode.d8.loss_dice: 1.2004, loss: 30.4587 2022-04-29 16:21:55,432 - mmseg - INFO - Iter [39150/80000] lr: 7.332e-07, eta: 20:53:59, time: 1.807, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8565, decode.loss_mask: 0.7959, decode.loss_dice: 1.2230, decode.d0.loss_cls: 2.6746, decode.d0.loss_mask: 0.7933, decode.d0.loss_dice: 1.4101, decode.d1.loss_cls: 0.9425, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.3100, decode.d2.loss_cls: 0.8877, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.2684, decode.d3.loss_cls: 0.8668, decode.d3.loss_mask: 0.8026, decode.d3.loss_dice: 1.2357, decode.d4.loss_cls: 0.8624, decode.d4.loss_mask: 0.7987, decode.d4.loss_dice: 1.2371, decode.d5.loss_cls: 0.8602, decode.d5.loss_mask: 0.8021, decode.d5.loss_dice: 1.2394, decode.d6.loss_cls: 0.8521, decode.d6.loss_mask: 0.7956, decode.d6.loss_dice: 1.2185, decode.d7.loss_cls: 0.8544, decode.d7.loss_mask: 0.8006, decode.d7.loss_dice: 1.2265, decode.d8.loss_cls: 0.8577, decode.d8.loss_mask: 0.7987, decode.d8.loss_dice: 1.2228, loss: 31.1338 2022-04-29 16:23:26,445 - mmseg - INFO - Iter [39200/80000] lr: 7.323e-07, eta: 20:52:26, time: 1.821, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8170, decode.loss_mask: 0.7787, decode.loss_dice: 1.2160, decode.d0.loss_cls: 2.7133, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.4078, decode.d1.loss_cls: 0.9070, decode.d1.loss_mask: 0.8024, decode.d1.loss_dice: 1.3101, decode.d2.loss_cls: 0.8385, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2628, decode.d3.loss_cls: 0.8351, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.2330, decode.d4.loss_cls: 0.8239, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.2351, decode.d5.loss_cls: 0.8278, decode.d5.loss_mask: 0.7766, decode.d5.loss_dice: 1.2221, decode.d6.loss_cls: 0.8143, decode.d6.loss_mask: 0.7768, decode.d6.loss_dice: 1.2148, decode.d7.loss_cls: 0.8203, decode.d7.loss_mask: 0.7717, decode.d7.loss_dice: 1.2150, decode.d8.loss_cls: 0.8118, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.2150, loss: 30.5340 2022-04-29 16:24:57,442 - mmseg - INFO - Iter [39250/80000] lr: 7.314e-07, eta: 20:50:53, time: 1.820, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8495, decode.loss_mask: 0.7875, decode.loss_dice: 1.1969, decode.d0.loss_cls: 2.7401, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.3944, decode.d1.loss_cls: 0.9406, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.2986, decode.d2.loss_cls: 0.8845, decode.d2.loss_mask: 0.8021, decode.d2.loss_dice: 1.2431, decode.d3.loss_cls: 0.8681, decode.d3.loss_mask: 0.7930, decode.d3.loss_dice: 1.2227, decode.d4.loss_cls: 0.8585, decode.d4.loss_mask: 0.7913, decode.d4.loss_dice: 1.2236, decode.d5.loss_cls: 0.8618, decode.d5.loss_mask: 0.7885, decode.d5.loss_dice: 1.2068, decode.d6.loss_cls: 0.8505, decode.d6.loss_mask: 0.7843, decode.d6.loss_dice: 1.1971, decode.d7.loss_cls: 0.8466, decode.d7.loss_mask: 0.7867, decode.d7.loss_dice: 1.2062, decode.d8.loss_cls: 0.8493, decode.d8.loss_mask: 0.7861, decode.d8.loss_dice: 1.1944, loss: 30.8500 2022-04-29 16:26:27,935 - mmseg - INFO - Iter [39300/80000] lr: 7.305e-07, eta: 20:49:19, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8296, decode.loss_mask: 0.7900, decode.loss_dice: 1.1881, decode.d0.loss_cls: 2.6651, decode.d0.loss_mask: 0.7831, decode.d0.loss_dice: 1.3703, decode.d1.loss_cls: 0.9035, decode.d1.loss_mask: 0.8226, decode.d1.loss_dice: 1.2892, decode.d2.loss_cls: 0.8620, decode.d2.loss_mask: 0.8078, decode.d2.loss_dice: 1.2388, decode.d3.loss_cls: 0.8367, decode.d3.loss_mask: 0.8040, decode.d3.loss_dice: 1.2180, decode.d4.loss_cls: 0.8332, decode.d4.loss_mask: 0.7969, decode.d4.loss_dice: 1.2066, decode.d5.loss_cls: 0.8359, decode.d5.loss_mask: 0.7961, decode.d5.loss_dice: 1.2014, decode.d6.loss_cls: 0.8281, decode.d6.loss_mask: 0.7948, decode.d6.loss_dice: 1.1945, decode.d7.loss_cls: 0.8310, decode.d7.loss_mask: 0.7886, decode.d7.loss_dice: 1.1910, decode.d8.loss_cls: 0.8266, decode.d8.loss_mask: 0.7886, decode.d8.loss_dice: 1.1907, loss: 30.5130 2022-04-29 16:27:59,419 - mmseg - INFO - Iter [39350/80000] lr: 7.296e-07, eta: 20:47:46, time: 1.830, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8673, decode.loss_mask: 0.8016, decode.loss_dice: 1.2681, decode.d0.loss_cls: 2.7710, decode.d0.loss_mask: 0.7952, decode.d0.loss_dice: 1.4458, decode.d1.loss_cls: 0.9633, decode.d1.loss_mask: 0.8255, decode.d1.loss_dice: 1.3560, decode.d2.loss_cls: 0.8978, decode.d2.loss_mask: 0.8160, decode.d2.loss_dice: 1.3081, decode.d3.loss_cls: 0.8859, decode.d3.loss_mask: 0.8040, decode.d3.loss_dice: 1.2846, decode.d4.loss_cls: 0.8775, decode.d4.loss_mask: 0.8014, decode.d4.loss_dice: 1.2832, decode.d5.loss_cls: 0.8736, decode.d5.loss_mask: 0.8020, decode.d5.loss_dice: 1.2777, decode.d6.loss_cls: 0.8719, decode.d6.loss_mask: 0.7994, decode.d6.loss_dice: 1.2675, decode.d7.loss_cls: 0.8718, decode.d7.loss_mask: 0.8001, decode.d7.loss_dice: 1.2659, decode.d8.loss_cls: 0.8675, decode.d8.loss_mask: 0.8011, decode.d8.loss_dice: 1.2592, loss: 31.8100 2022-04-29 16:29:30,716 - mmseg - INFO - Iter [39400/80000] lr: 7.287e-07, eta: 20:46:14, time: 1.826, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8156, decode.loss_mask: 0.7656, decode.loss_dice: 1.2097, decode.d0.loss_cls: 2.7074, decode.d0.loss_mask: 0.7561, decode.d0.loss_dice: 1.3915, decode.d1.loss_cls: 0.9054, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.3072, decode.d2.loss_cls: 0.8514, decode.d2.loss_mask: 0.7737, decode.d2.loss_dice: 1.2612, decode.d3.loss_cls: 0.8412, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.2273, decode.d4.loss_cls: 0.8302, decode.d4.loss_mask: 0.7669, decode.d4.loss_dice: 1.2316, decode.d5.loss_cls: 0.8336, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8256, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.2102, decode.d7.loss_cls: 0.8259, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.2110, decode.d8.loss_cls: 0.8157, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.2100, loss: 30.4036 2022-04-29 16:31:01,797 - mmseg - INFO - Iter [39450/80000] lr: 7.278e-07, eta: 20:44:40, time: 1.822, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8065, decode.loss_mask: 0.7666, decode.loss_dice: 1.1897, decode.d0.loss_cls: 2.6565, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3765, decode.d1.loss_cls: 0.8846, decode.d1.loss_mask: 0.7925, decode.d1.loss_dice: 1.2839, decode.d2.loss_cls: 0.8403, decode.d2.loss_mask: 0.7767, decode.d2.loss_dice: 1.2260, decode.d3.loss_cls: 0.8245, decode.d3.loss_mask: 0.7746, decode.d3.loss_dice: 1.2016, decode.d4.loss_cls: 0.8256, decode.d4.loss_mask: 0.7691, decode.d4.loss_dice: 1.2004, decode.d5.loss_cls: 0.8167, decode.d5.loss_mask: 0.7659, decode.d5.loss_dice: 1.1973, decode.d6.loss_cls: 0.8115, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1992, decode.d7.loss_cls: 0.8118, decode.d7.loss_mask: 0.7655, decode.d7.loss_dice: 1.1913, decode.d8.loss_cls: 0.8067, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.1899, loss: 30.0500 2022-04-29 16:32:32,942 - mmseg - INFO - Iter [39500/80000] lr: 7.269e-07, eta: 20:43:07, time: 1.823, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8112, decode.loss_mask: 0.7733, decode.loss_dice: 1.2030, decode.d0.loss_cls: 2.6808, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.3719, decode.d1.loss_cls: 0.8957, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.3000, decode.d2.loss_cls: 0.8401, decode.d2.loss_mask: 0.7864, decode.d2.loss_dice: 1.2438, decode.d3.loss_cls: 0.8281, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.2208, decode.d4.loss_cls: 0.8154, decode.d4.loss_mask: 0.7808, decode.d4.loss_dice: 1.2217, decode.d5.loss_cls: 0.8143, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.2137, decode.d6.loss_cls: 0.8123, decode.d6.loss_mask: 0.7764, decode.d6.loss_dice: 1.2027, decode.d7.loss_cls: 0.8117, decode.d7.loss_mask: 0.7697, decode.d7.loss_dice: 1.2050, decode.d8.loss_cls: 0.8075, decode.d8.loss_mask: 0.7750, decode.d8.loss_dice: 1.2043, loss: 30.2930 2022-04-29 16:34:04,589 - mmseg - INFO - Iter [39550/80000] lr: 7.260e-07, eta: 20:41:35, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8273, decode.loss_mask: 0.7756, decode.loss_dice: 1.1790, decode.d0.loss_cls: 2.6784, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.3603, decode.d1.loss_cls: 0.8977, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2737, decode.d2.loss_cls: 0.8594, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2256, decode.d3.loss_cls: 0.8536, decode.d3.loss_mask: 0.7801, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.8422, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.2059, decode.d5.loss_cls: 0.8365, decode.d5.loss_mask: 0.7802, decode.d5.loss_dice: 1.2012, decode.d6.loss_cls: 0.8280, decode.d6.loss_mask: 0.7790, decode.d6.loss_dice: 1.1901, decode.d7.loss_cls: 0.8264, decode.d7.loss_mask: 0.7771, decode.d7.loss_dice: 1.1888, decode.d8.loss_cls: 0.8281, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.1801, loss: 30.3011 2022-04-29 16:35:36,809 - mmseg - INFO - Iter [39600/80000] lr: 7.251e-07, eta: 20:40:03, time: 1.844, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8284, decode.loss_mask: 0.7815, decode.loss_dice: 1.1934, decode.d0.loss_cls: 2.6906, decode.d0.loss_mask: 0.7786, decode.d0.loss_dice: 1.3692, decode.d1.loss_cls: 0.9088, decode.d1.loss_mask: 0.8135, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.8636, decode.d2.loss_mask: 0.7936, decode.d2.loss_dice: 1.2358, decode.d3.loss_cls: 0.8496, decode.d3.loss_mask: 0.7849, decode.d3.loss_dice: 1.2106, decode.d4.loss_cls: 0.8415, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2148, decode.d5.loss_cls: 0.8457, decode.d5.loss_mask: 0.7820, decode.d5.loss_dice: 1.2057, decode.d6.loss_cls: 0.8321, decode.d6.loss_mask: 0.7804, decode.d6.loss_dice: 1.1959, decode.d7.loss_cls: 0.8323, decode.d7.loss_mask: 0.7798, decode.d7.loss_dice: 1.1995, decode.d8.loss_cls: 0.8281, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.1982, loss: 30.4962 2022-04-29 16:37:07,263 - mmseg - INFO - Iter [39650/80000] lr: 7.242e-07, eta: 20:38:29, time: 1.809, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8129, decode.loss_mask: 0.7789, decode.loss_dice: 1.1784, decode.d0.loss_cls: 2.6708, decode.d0.loss_mask: 0.7814, decode.d0.loss_dice: 1.3496, decode.d1.loss_cls: 0.8932, decode.d1.loss_mask: 0.8083, decode.d1.loss_dice: 1.2796, decode.d2.loss_cls: 0.8419, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2215, decode.d3.loss_cls: 0.8301, decode.d3.loss_mask: 0.7852, decode.d3.loss_dice: 1.2013, decode.d4.loss_cls: 0.8226, decode.d4.loss_mask: 0.7885, decode.d4.loss_dice: 1.1974, decode.d5.loss_cls: 0.8152, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.1951, decode.d6.loss_cls: 0.8158, decode.d6.loss_mask: 0.7821, decode.d6.loss_dice: 1.1809, decode.d7.loss_cls: 0.8126, decode.d7.loss_mask: 0.7807, decode.d7.loss_dice: 1.1829, decode.d8.loss_cls: 0.8121, decode.d8.loss_mask: 0.7803, decode.d8.loss_dice: 1.1813, loss: 30.1540 2022-04-29 16:38:39,027 - mmseg - INFO - Iter [39700/80000] lr: 7.233e-07, eta: 20:36:57, time: 1.836, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8273, decode.loss_mask: 0.7821, decode.loss_dice: 1.2280, decode.d0.loss_cls: 2.6968, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.4067, decode.d1.loss_cls: 0.9092, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.3266, decode.d2.loss_cls: 0.8590, decode.d2.loss_mask: 0.8020, decode.d2.loss_dice: 1.2589, decode.d3.loss_cls: 0.8425, decode.d3.loss_mask: 0.7906, decode.d3.loss_dice: 1.2328, decode.d4.loss_cls: 0.8318, decode.d4.loss_mask: 0.7920, decode.d4.loss_dice: 1.2351, decode.d5.loss_cls: 0.8346, decode.d5.loss_mask: 0.7844, decode.d5.loss_dice: 1.2326, decode.d6.loss_cls: 0.8336, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.2172, decode.d7.loss_cls: 0.8341, decode.d7.loss_mask: 0.7813, decode.d7.loss_dice: 1.2168, decode.d8.loss_cls: 0.8286, decode.d8.loss_mask: 0.7838, decode.d8.loss_dice: 1.2177, loss: 30.7653 2022-04-29 16:40:10,895 - mmseg - INFO - Iter [39750/80000] lr: 7.224e-07, eta: 20:35:24, time: 1.837, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8033, decode.loss_mask: 0.7670, decode.loss_dice: 1.1846, decode.d0.loss_cls: 2.7080, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3569, decode.d1.loss_cls: 0.8883, decode.d1.loss_mask: 0.7907, decode.d1.loss_dice: 1.2755, decode.d2.loss_cls: 0.8300, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.2208, decode.d3.loss_cls: 0.8172, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.1965, decode.d4.loss_cls: 0.8131, decode.d4.loss_mask: 0.7681, decode.d4.loss_dice: 1.1938, decode.d5.loss_cls: 0.8069, decode.d5.loss_mask: 0.7652, decode.d5.loss_dice: 1.1938, decode.d6.loss_cls: 0.8044, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.1818, decode.d7.loss_cls: 0.8044, decode.d7.loss_mask: 0.7669, decode.d7.loss_dice: 1.1856, decode.d8.loss_cls: 0.8061, decode.d8.loss_mask: 0.7690, decode.d8.loss_dice: 1.1820, loss: 29.9673 2022-04-29 16:41:40,947 - mmseg - INFO - Iter [39800/80000] lr: 7.215e-07, eta: 20:33:50, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8613, decode.loss_mask: 0.7854, decode.loss_dice: 1.2331, decode.d0.loss_cls: 2.7449, decode.d0.loss_mask: 0.7919, decode.d0.loss_dice: 1.4200, decode.d1.loss_cls: 0.9446, decode.d1.loss_mask: 0.8184, decode.d1.loss_dice: 1.3390, decode.d2.loss_cls: 0.8861, decode.d2.loss_mask: 0.8060, decode.d2.loss_dice: 1.2833, decode.d3.loss_cls: 0.8698, decode.d3.loss_mask: 0.7997, decode.d3.loss_dice: 1.2532, decode.d4.loss_cls: 0.8621, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.2568, decode.d5.loss_cls: 0.8667, decode.d5.loss_mask: 0.7897, decode.d5.loss_dice: 1.2469, decode.d6.loss_cls: 0.8556, decode.d6.loss_mask: 0.7920, decode.d6.loss_dice: 1.2280, decode.d7.loss_cls: 0.8568, decode.d7.loss_mask: 0.7922, decode.d7.loss_dice: 1.2319, decode.d8.loss_cls: 0.8511, decode.d8.loss_mask: 0.7884, decode.d8.loss_dice: 1.2312, loss: 31.2822 2022-04-29 16:43:12,777 - mmseg - INFO - Iter [39850/80000] lr: 7.206e-07, eta: 20:32:18, time: 1.836, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8762, decode.loss_mask: 0.7775, decode.loss_dice: 1.2332, decode.d0.loss_cls: 2.7710, decode.d0.loss_mask: 0.7777, decode.d0.loss_dice: 1.4129, decode.d1.loss_cls: 0.9638, decode.d1.loss_mask: 0.8056, decode.d1.loss_dice: 1.3301, decode.d2.loss_cls: 0.9021, decode.d2.loss_mask: 0.7909, decode.d2.loss_dice: 1.2794, decode.d3.loss_cls: 0.8879, decode.d3.loss_mask: 0.7838, decode.d3.loss_dice: 1.2561, decode.d4.loss_cls: 0.8811, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.2563, decode.d5.loss_cls: 0.8868, decode.d5.loss_mask: 0.7769, decode.d5.loss_dice: 1.2491, decode.d6.loss_cls: 0.8708, decode.d6.loss_mask: 0.7783, decode.d6.loss_dice: 1.2336, decode.d7.loss_cls: 0.8711, decode.d7.loss_mask: 0.7704, decode.d7.loss_dice: 1.2372, decode.d8.loss_cls: 0.8684, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.2340, loss: 31.3202 2022-04-29 16:44:41,834 - mmseg - INFO - Iter [39900/80000] lr: 7.197e-07, eta: 20:30:43, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8378, decode.loss_mask: 0.7659, decode.loss_dice: 1.2074, decode.d0.loss_cls: 2.6935, decode.d0.loss_mask: 0.7693, decode.d0.loss_dice: 1.3876, decode.d1.loss_cls: 0.9216, decode.d1.loss_mask: 0.7955, decode.d1.loss_dice: 1.2926, decode.d2.loss_cls: 0.8643, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.2384, decode.d3.loss_cls: 0.8493, decode.d3.loss_mask: 0.7725, decode.d3.loss_dice: 1.2242, decode.d4.loss_cls: 0.8417, decode.d4.loss_mask: 0.7800, decode.d4.loss_dice: 1.2267, decode.d5.loss_cls: 0.8400, decode.d5.loss_mask: 0.7717, decode.d5.loss_dice: 1.2155, decode.d6.loss_cls: 0.8315, decode.d6.loss_mask: 0.7670, decode.d6.loss_dice: 1.1977, decode.d7.loss_cls: 0.8332, decode.d7.loss_mask: 0.7698, decode.d7.loss_dice: 1.2085, decode.d8.loss_cls: 0.8354, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.2016, loss: 30.4882 2022-04-29 16:46:12,488 - mmseg - INFO - Iter [39950/80000] lr: 7.188e-07, eta: 20:29:09, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8755, decode.loss_mask: 0.7820, decode.loss_dice: 1.2022, decode.d0.loss_cls: 2.7610, decode.d0.loss_mask: 0.7842, decode.d0.loss_dice: 1.3931, decode.d1.loss_cls: 0.9676, decode.d1.loss_mask: 0.8111, decode.d1.loss_dice: 1.2924, decode.d2.loss_cls: 0.9093, decode.d2.loss_mask: 0.7909, decode.d2.loss_dice: 1.2336, decode.d3.loss_cls: 0.9002, decode.d3.loss_mask: 0.7809, decode.d3.loss_dice: 1.2057, decode.d4.loss_cls: 0.8965, decode.d4.loss_mask: 0.7812, decode.d4.loss_dice: 1.2025, decode.d5.loss_cls: 0.8847, decode.d5.loss_mask: 0.7850, decode.d5.loss_dice: 1.2012, decode.d6.loss_cls: 0.8793, decode.d6.loss_mask: 0.7863, decode.d6.loss_dice: 1.1911, decode.d7.loss_cls: 0.8740, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.2013, decode.d8.loss_cls: 0.8746, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.1928, loss: 31.0086 2022-04-29 16:47:42,901 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-04-29 16:48:16,641 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 16:48:16,651 - mmseg - INFO - Iter [40000/80000] lr: 7.179e-07, eta: 20:28:09, time: 2.480, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8270, decode.loss_mask: 0.7822, decode.loss_dice: 1.2118, decode.d0.loss_cls: 2.7420, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.4066, decode.d1.loss_cls: 0.9007, decode.d1.loss_mask: 0.8237, decode.d1.loss_dice: 1.3024, decode.d2.loss_cls: 0.8511, decode.d2.loss_mask: 0.8022, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 0.8409, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 0.8363, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.2206, decode.d5.loss_cls: 0.8348, decode.d5.loss_mask: 0.7862, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 0.8244, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.2117, decode.d7.loss_cls: 0.8259, decode.d7.loss_mask: 0.7823, decode.d7.loss_dice: 1.2177, decode.d8.loss_cls: 0.8229, decode.d8.loss_mask: 0.7821, decode.d8.loss_dice: 1.2066, loss: 30.6674 2022-04-29 16:53:12,398 - mmseg - INFO - per class results: 2022-04-29 16:53:12,431 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.88 | 93.88 | | bicycle | 76.13 | 87.56 | | car | 65.11 | 84.18 | | motorcycle | 86.04 | 91.42 | | airplane | 84.28 | 92.03 | | bus | 84.24 | 90.4 | | train | 87.05 | 95.61 | | truck | 65.76 | 84.42 | | boat | 66.55 | 86.32 | | traffic light | 71.34 | 87.75 | | fire hydrant | 91.21 | 96.08 | | stop sign | 91.63 | 98.04 | | parking meter | 77.55 | 88.44 | | bench | 57.34 | 78.94 | | bird | 85.75 | 92.56 | | cat | 81.67 | 86.12 | | dog | 76.75 | 82.02 | | horse | 84.04 | 94.94 | | sheep | 88.68 | 96.09 | | cow | 88.29 | 92.94 | | elephant | 93.55 | 96.53 | | bear | 92.2 | 95.57 | | zebra | 90.65 | 93.81 | | giraffe | 88.34 | 94.05 | | backpack | 42.18 | 70.03 | | umbrella | 86.76 | 92.93 | | handbag | 41.62 | 73.71 | | tie | 26.9 | 38.26 | | suitcase | 82.18 | 95.24 | | frisbee | 77.43 | 95.4 | | skis | 60.28 | 74.57 | | snowboard | 73.77 | 84.74 | | sports ball | 62.56 | 80.0 | | kite | 74.32 | 87.87 | | baseball bat | 63.35 | 83.59 | | baseball glove | 74.98 | 92.54 | | skateboard | 84.87 | 91.39 | | surfboard | 84.17 | 92.1 | | tennis racket | 89.47 | 95.78 | | bottle | 50.34 | 62.45 | | wine glass | 53.32 | 69.81 | | cup | 53.82 | 73.65 | | fork | 43.03 | 49.12 | | knife | 35.57 | 48.64 | | spoon | 33.45 | 55.59 | | bowl | 49.06 | 63.42 | | banana | 70.04 | 89.2 | | apple | 56.05 | 77.71 | | sandwich | 44.64 | 54.76 | | orange | 71.25 | 80.62 | | broccoli | 58.21 | 70.85 | | carrot | 51.58 | 59.81 | | hot dog | 47.32 | 54.84 | | pizza | 57.94 | 62.99 | | donut | 73.5 | 84.13 | | cake | 71.13 | 82.55 | | chair | 54.64 | 72.35 | | couch | 58.68 | 76.96 | | potted plant | 30.21 | 45.7 | | bed | 66.75 | 88.96 | | dining table | 45.35 | 83.05 | | toilet | 85.95 | 94.48 | | tv | 76.22 | 85.17 | | laptop | 77.16 | 89.05 | | mouse | 79.1 | 93.73 | | remote | 59.55 | 74.63 | | keyboard | 68.3 | 87.26 | | cell phone | 75.21 | 91.49 | | microwave | 69.97 | 81.63 | | oven | 59.61 | 87.06 | | toaster | 2.24 | 2.41 | | sink | 61.01 | 87.37 | | refrigerator | 79.8 | 92.48 | | book | 50.1 | 71.72 | | clock | 70.71 | 85.12 | | vase | 60.66 | 82.26 | | scissors | 81.49 | 92.03 | | teddy bear | 81.0 | 93.92 | | hair drier | 55.08 | 58.64 | | toothbrush | 56.57 | 83.95 | | banner | 26.35 | 71.37 | | blanket | 1.18 | 1.37 | | branch | 19.4 | 32.86 | | bridge | 38.56 | 54.2 | | building-other | 53.59 | 71.33 | | bush | 35.67 | 53.24 | | cabinet | 55.51 | 68.48 | | cage | 26.19 | 42.82 | | cardboard | 48.99 | 59.61 | | carpet | 45.97 | 59.53 | | ceiling-other | 66.11 | 80.61 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 22.77 | 34.32 | | clouds | 47.87 | 63.64 | | counter | 30.29 | 58.17 | | cupboard | 0.0 | 0.0 | | curtain | 69.07 | 81.73 | | desk-stuff | 47.34 | 70.75 | | dirt | 39.94 | 59.74 | | door-stuff | 49.25 | 73.36 | | fence | 31.51 | 51.42 | | floor-marble | 0.0 | 0.0 | | floor-other | 20.65 | 26.92 | | floor-stone | 6.33 | 9.05 | | floor-tile | 62.23 | 78.84 | | floor-wood | 62.3 | 78.7 | | flower | 42.2 | 63.09 | | fog | 7.23 | 7.58 | | food-other | 30.95 | 38.63 | | fruit | 41.54 | 62.41 | | furniture-other | 22.7 | 34.25 | | grass | 70.11 | 81.34 | | gravel | 30.78 | 54.04 | | ground-other | 5.87 | 7.6 | | hill | 21.9 | 32.05 | | house | 26.33 | 35.48 | | leaves | 23.17 | 26.9 | | light | 40.84 | 62.64 | | mat | 0.0 | 0.0 | | metal | 36.25 | 51.15 | | mirror-stuff | 58.92 | 73.81 | | moss | 0.0 | 0.0 | | mountain | 53.54 | 65.62 | | mud | 0.0 | 0.0 | | napkin | 9.63 | 11.79 | | net | 46.98 | 66.72 | | paper | 33.4 | 51.55 | | pavement | 51.99 | 68.26 | | pillow | 20.55 | 44.77 | | plant-other | 20.92 | 40.92 | | plastic | 25.96 | 34.63 | | platform | 30.47 | 46.5 | | playingfield | 69.08 | 89.91 | | railing | 8.4 | 13.75 | | railroad | 62.34 | 81.52 | | river | 45.09 | 55.23 | | road | 66.02 | 83.52 | | rock | 28.94 | 38.39 | | roof | 20.51 | 27.89 | | rug | 32.52 | 62.54 | | salad | 0.0 | 0.0 | | sand | 65.6 | 74.5 | | sea | 85.06 | 92.29 | | shelf | 35.83 | 50.11 | | sky-other | 71.16 | 86.54 | | skyscraper | 33.42 | 46.66 | | snow | 91.1 | 95.84 | | solid-other | 0.0 | 0.0 | | stairs | 33.07 | 62.85 | | stone | 15.15 | 44.58 | | straw | 35.26 | 55.4 | | structural-other | 1.05 | 1.07 | | table | 15.62 | 18.3 | | tent | 8.93 | 10.99 | | textile-other | 13.66 | 23.68 | | towel | 39.72 | 50.61 | | tree | 73.91 | 85.38 | | vegetable | 41.45 | 54.27 | | wall-brick | 50.55 | 70.6 | | wall-concrete | 63.05 | 79.63 | | wall-other | 20.84 | 30.48 | | wall-panel | 0.75 | 0.81 | | wall-stone | 30.35 | 40.97 | | wall-tile | 70.5 | 83.33 | | wall-wood | 42.86 | 60.2 | | water-other | 26.49 | 46.73 | | waterdrops | 0.0 | 0.0 | | window-blind | 51.0 | 69.13 | | window-other | 48.89 | 68.32 | | wood | 28.26 | 39.32 | +------------------+-------+-------+ 2022-04-29 16:53:12,431 - mmseg - INFO - Summary: 2022-04-29 16:53:12,431 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 72.47 | 49.7 | 62.62 | +-------+------+-------+ 2022-04-29 16:53:12,448 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 16:53:12,448 - mmseg - INFO - Iter(val) [313] aAcc: 0.7247, mIoU: 0.4970, mAcc: 0.6262, IoU.person: 0.8788, IoU.bicycle: 0.7613, IoU.car: 0.6511, IoU.motorcycle: 0.8604, IoU.airplane: 0.8428, IoU.bus: 0.8424, IoU.train: 0.8705, IoU.truck: 0.6576, IoU.boat: 0.6655, IoU.traffic light: 0.7134, IoU.fire hydrant: 0.9121, IoU.stop sign: 0.9163, IoU.parking meter: 0.7755, IoU.bench: 0.5734, IoU.bird: 0.8575, IoU.cat: 0.8167, IoU.dog: 0.7675, IoU.horse: 0.8404, IoU.sheep: 0.8868, IoU.cow: 0.8829, IoU.elephant: 0.9355, IoU.bear: 0.9220, IoU.zebra: 0.9065, IoU.giraffe: 0.8834, IoU.backpack: 0.4218, IoU.umbrella: 0.8676, IoU.handbag: 0.4162, IoU.tie: 0.2690, IoU.suitcase: 0.8218, IoU.frisbee: 0.7743, IoU.skis: 0.6028, IoU.snowboard: 0.7377, IoU.sports ball: 0.6256, IoU.kite: 0.7432, IoU.baseball bat: 0.6335, IoU.baseball glove: 0.7498, IoU.skateboard: 0.8487, IoU.surfboard: 0.8417, IoU.tennis racket: 0.8947, IoU.bottle: 0.5034, IoU.wine glass: 0.5332, IoU.cup: 0.5382, IoU.fork: 0.4303, IoU.knife: 0.3557, IoU.spoon: 0.3345, IoU.bowl: 0.4906, IoU.banana: 0.7004, IoU.apple: 0.5605, IoU.sandwich: 0.4464, IoU.orange: 0.7125, IoU.broccoli: 0.5821, IoU.carrot: 0.5158, IoU.hot dog: 0.4732, IoU.pizza: 0.5794, IoU.donut: 0.7350, IoU.cake: 0.7113, IoU.chair: 0.5464, IoU.couch: 0.5868, IoU.potted plant: 0.3021, IoU.bed: 0.6675, IoU.dining table: 0.4535, IoU.toilet: 0.8595, IoU.tv: 0.7622, IoU.laptop: 0.7716, IoU.mouse: 0.7910, IoU.remote: 0.5955, IoU.keyboard: 0.6830, IoU.cell phone: 0.7521, IoU.microwave: 0.6997, IoU.oven: 0.5961, IoU.toaster: 0.0224, IoU.sink: 0.6101, IoU.refrigerator: 0.7980, IoU.book: 0.5010, IoU.clock: 0.7071, IoU.vase: 0.6066, IoU.scissors: 0.8149, IoU.teddy bear: 0.8100, IoU.hair drier: 0.5508, IoU.toothbrush: 0.5657, IoU.banner: 0.2635, IoU.blanket: 0.0118, IoU.branch: 0.1940, IoU.bridge: 0.3856, IoU.building-other: 0.5359, IoU.bush: 0.3567, IoU.cabinet: 0.5551, IoU.cage: 0.2619, IoU.cardboard: 0.4899, IoU.carpet: 0.4597, IoU.ceiling-other: 0.6611, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2277, IoU.clouds: 0.4787, IoU.counter: 0.3029, IoU.cupboard: 0.0000, IoU.curtain: 0.6907, IoU.desk-stuff: 0.4734, IoU.dirt: 0.3994, IoU.door-stuff: 0.4925, IoU.fence: 0.3151, IoU.floor-marble: 0.0000, IoU.floor-other: 0.2065, IoU.floor-stone: 0.0633, IoU.floor-tile: 0.6223, IoU.floor-wood: 0.6230, IoU.flower: 0.4220, IoU.fog: 0.0723, IoU.food-other: 0.3095, IoU.fruit: 0.4154, IoU.furniture-other: 0.2270, IoU.grass: 0.7011, IoU.gravel: 0.3078, IoU.ground-other: 0.0587, IoU.hill: 0.2190, IoU.house: 0.2633, IoU.leaves: 0.2317, IoU.light: 0.4084, IoU.mat: 0.0000, IoU.metal: 0.3625, IoU.mirror-stuff: 0.5892, IoU.moss: 0.0000, IoU.mountain: 0.5354, IoU.mud: 0.0000, IoU.napkin: 0.0963, IoU.net: 0.4698, IoU.paper: 0.3340, IoU.pavement: 0.5199, IoU.pillow: 0.2055, IoU.plant-other: 0.2092, IoU.plastic: 0.2596, IoU.platform: 0.3047, IoU.playingfield: 0.6908, IoU.railing: 0.0840, IoU.railroad: 0.6234, IoU.river: 0.4509, IoU.road: 0.6602, IoU.rock: 0.2894, IoU.roof: 0.2051, IoU.rug: 0.3252, IoU.salad: 0.0000, IoU.sand: 0.6560, IoU.sea: 0.8506, IoU.shelf: 0.3583, IoU.sky-other: 0.7116, IoU.skyscraper: 0.3342, IoU.snow: 0.9110, IoU.solid-other: 0.0000, IoU.stairs: 0.3307, IoU.stone: 0.1515, IoU.straw: 0.3526, IoU.structural-other: 0.0105, IoU.table: 0.1562, IoU.tent: 0.0893, IoU.textile-other: 0.1366, IoU.towel: 0.3972, IoU.tree: 0.7391, IoU.vegetable: 0.4145, IoU.wall-brick: 0.5055, IoU.wall-concrete: 0.6305, IoU.wall-other: 0.2084, IoU.wall-panel: 0.0075, IoU.wall-stone: 0.3035, IoU.wall-tile: 0.7050, IoU.wall-wood: 0.4286, IoU.water-other: 0.2649, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5100, IoU.window-other: 0.4889, IoU.wood: 0.2826, Acc.person: 0.9388, Acc.bicycle: 0.8756, Acc.car: 0.8418, Acc.motorcycle: 0.9142, Acc.airplane: 0.9203, Acc.bus: 0.9040, Acc.train: 0.9561, Acc.truck: 0.8442, Acc.boat: 0.8632, Acc.traffic light: 0.8775, Acc.fire hydrant: 0.9608, Acc.stop sign: 0.9804, Acc.parking meter: 0.8844, Acc.bench: 0.7894, Acc.bird: 0.9256, Acc.cat: 0.8612, Acc.dog: 0.8202, Acc.horse: 0.9494, Acc.sheep: 0.9609, Acc.cow: 0.9294, Acc.elephant: 0.9653, Acc.bear: 0.9557, Acc.zebra: 0.9381, Acc.giraffe: 0.9405, Acc.backpack: 0.7003, Acc.umbrella: 0.9293, Acc.handbag: 0.7371, Acc.tie: 0.3826, Acc.suitcase: 0.9524, Acc.frisbee: 0.9540, Acc.skis: 0.7457, Acc.snowboard: 0.8474, Acc.sports ball: 0.8000, Acc.kite: 0.8787, Acc.baseball bat: 0.8359, Acc.baseball glove: 0.9254, Acc.skateboard: 0.9139, Acc.surfboard: 0.9210, Acc.tennis racket: 0.9578, Acc.bottle: 0.6245, Acc.wine glass: 0.6981, Acc.cup: 0.7365, Acc.fork: 0.4912, Acc.knife: 0.4864, Acc.spoon: 0.5559, Acc.bowl: 0.6342, Acc.banana: 0.8920, Acc.apple: 0.7771, Acc.sandwich: 0.5476, Acc.orange: 0.8062, Acc.broccoli: 0.7085, Acc.carrot: 0.5981, Acc.hot dog: 0.5484, Acc.pizza: 0.6299, Acc.donut: 0.8413, Acc.cake: 0.8255, Acc.chair: 0.7235, Acc.couch: 0.7696, Acc.potted plant: 0.4570, Acc.bed: 0.8896, Acc.dining table: 0.8305, Acc.toilet: 0.9448, Acc.tv: 0.8517, Acc.laptop: 0.8905, Acc.mouse: 0.9373, Acc.remote: 0.7463, Acc.keyboard: 0.8726, Acc.cell phone: 0.9149, Acc.microwave: 0.8163, Acc.oven: 0.8706, Acc.toaster: 0.0241, Acc.sink: 0.8737, Acc.refrigerator: 0.9248, Acc.book: 0.7172, Acc.clock: 0.8512, Acc.vase: 0.8226, Acc.scissors: 0.9203, Acc.teddy bear: 0.9392, Acc.hair drier: 0.5864, Acc.toothbrush: 0.8395, Acc.banner: 0.7137, Acc.blanket: 0.0137, Acc.branch: 0.3286, Acc.bridge: 0.5420, Acc.building-other: 0.7133, Acc.bush: 0.5324, Acc.cabinet: 0.6848, Acc.cage: 0.4282, Acc.cardboard: 0.5961, Acc.carpet: 0.5953, Acc.ceiling-other: 0.8061, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3432, Acc.clouds: 0.6364, Acc.counter: 0.5817, Acc.cupboard: 0.0000, Acc.curtain: 0.8173, Acc.desk-stuff: 0.7075, Acc.dirt: 0.5974, Acc.door-stuff: 0.7336, Acc.fence: 0.5142, Acc.floor-marble: 0.0000, Acc.floor-other: 0.2692, Acc.floor-stone: 0.0905, Acc.floor-tile: 0.7884, Acc.floor-wood: 0.7870, Acc.flower: 0.6309, Acc.fog: 0.0758, Acc.food-other: 0.3863, Acc.fruit: 0.6241, Acc.furniture-other: 0.3425, Acc.grass: 0.8134, Acc.gravel: 0.5404, Acc.ground-other: 0.0760, Acc.hill: 0.3205, Acc.house: 0.3548, Acc.leaves: 0.2690, Acc.light: 0.6264, Acc.mat: 0.0000, Acc.metal: 0.5115, Acc.mirror-stuff: 0.7381, Acc.moss: 0.0000, Acc.mountain: 0.6562, Acc.mud: 0.0000, Acc.napkin: 0.1179, Acc.net: 0.6672, Acc.paper: 0.5155, Acc.pavement: 0.6826, Acc.pillow: 0.4477, Acc.plant-other: 0.4092, Acc.plastic: 0.3463, Acc.platform: 0.4650, Acc.playingfield: 0.8991, Acc.railing: 0.1375, Acc.railroad: 0.8152, Acc.river: 0.5523, Acc.road: 0.8352, Acc.rock: 0.3839, Acc.roof: 0.2789, Acc.rug: 0.6254, Acc.salad: 0.0000, Acc.sand: 0.7450, Acc.sea: 0.9229, Acc.shelf: 0.5011, Acc.sky-other: 0.8654, Acc.skyscraper: 0.4666, Acc.snow: 0.9584, Acc.solid-other: 0.0000, Acc.stairs: 0.6285, Acc.stone: 0.4458, Acc.straw: 0.5540, Acc.structural-other: 0.0107, Acc.table: 0.1830, Acc.tent: 0.1099, Acc.textile-other: 0.2368, Acc.towel: 0.5061, Acc.tree: 0.8538, Acc.vegetable: 0.5427, Acc.wall-brick: 0.7060, Acc.wall-concrete: 0.7963, Acc.wall-other: 0.3048, Acc.wall-panel: 0.0081, Acc.wall-stone: 0.4097, Acc.wall-tile: 0.8333, Acc.wall-wood: 0.6020, Acc.water-other: 0.4673, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6913, Acc.window-other: 0.6832, Acc.wood: 0.3932 2022-04-29 16:54:43,400 - mmseg - INFO - Iter [40050/80000] lr: 7.170e-07, eta: 20:31:31, time: 7.736, data_time: 5.932, memory: 64979, decode.loss_cls: 0.8424, decode.loss_mask: 0.8049, decode.loss_dice: 1.2052, decode.d0.loss_cls: 2.6488, decode.d0.loss_mask: 0.8035, decode.d0.loss_dice: 1.3838, decode.d1.loss_cls: 0.9087, decode.d1.loss_mask: 0.8341, decode.d1.loss_dice: 1.3100, decode.d2.loss_cls: 0.8628, decode.d2.loss_mask: 0.8233, decode.d2.loss_dice: 1.2498, decode.d3.loss_cls: 0.8544, decode.d3.loss_mask: 0.8139, decode.d3.loss_dice: 1.2289, decode.d4.loss_cls: 0.8497, decode.d4.loss_mask: 0.8138, decode.d4.loss_dice: 1.2246, decode.d5.loss_cls: 0.8508, decode.d5.loss_mask: 0.8080, decode.d5.loss_dice: 1.2197, decode.d6.loss_cls: 0.8415, decode.d6.loss_mask: 0.8054, decode.d6.loss_dice: 1.2163, decode.d7.loss_cls: 0.8432, decode.d7.loss_mask: 0.8048, decode.d7.loss_dice: 1.2086, decode.d8.loss_cls: 0.8378, decode.d8.loss_mask: 0.8018, decode.d8.loss_dice: 1.2062, loss: 30.9068 2022-04-29 16:56:13,702 - mmseg - INFO - Iter [40100/80000] lr: 7.161e-07, eta: 20:29:57, time: 1.808, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8437, decode.loss_mask: 0.7730, decode.loss_dice: 1.2004, decode.d0.loss_cls: 2.7079, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.3909, decode.d1.loss_cls: 0.9305, decode.d1.loss_mask: 0.8028, decode.d1.loss_dice: 1.3011, decode.d2.loss_cls: 0.8622, decode.d2.loss_mask: 0.7859, decode.d2.loss_dice: 1.2481, decode.d3.loss_cls: 0.8475, decode.d3.loss_mask: 0.7757, decode.d3.loss_dice: 1.2258, decode.d4.loss_cls: 0.8386, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2215, decode.d5.loss_cls: 0.8392, decode.d5.loss_mask: 0.7711, decode.d5.loss_dice: 1.2178, decode.d6.loss_cls: 0.8324, decode.d6.loss_mask: 0.7684, decode.d6.loss_dice: 1.2063, decode.d7.loss_cls: 0.8312, decode.d7.loss_mask: 0.7721, decode.d7.loss_dice: 1.2055, decode.d8.loss_cls: 0.8344, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.2030, loss: 30.5706 2022-04-29 16:57:43,785 - mmseg - INFO - Iter [40150/80000] lr: 7.152e-07, eta: 20:28:22, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8614, decode.loss_mask: 0.7815, decode.loss_dice: 1.2229, decode.d0.loss_cls: 2.7144, decode.d0.loss_mask: 0.7883, decode.d0.loss_dice: 1.4079, decode.d1.loss_cls: 0.9498, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.3203, decode.d2.loss_cls: 0.8919, decode.d2.loss_mask: 0.7992, decode.d2.loss_dice: 1.2601, decode.d3.loss_cls: 0.8747, decode.d3.loss_mask: 0.7898, decode.d3.loss_dice: 1.2379, decode.d4.loss_cls: 0.8744, decode.d4.loss_mask: 0.7843, decode.d4.loss_dice: 1.2348, decode.d5.loss_cls: 0.8669, decode.d5.loss_mask: 0.7818, decode.d5.loss_dice: 1.2338, decode.d6.loss_cls: 0.8589, decode.d6.loss_mask: 0.7832, decode.d6.loss_dice: 1.2210, decode.d7.loss_cls: 0.8602, decode.d7.loss_mask: 0.7824, decode.d7.loss_dice: 1.2291, decode.d8.loss_cls: 0.8602, decode.d8.loss_mask: 0.7796, decode.d8.loss_dice: 1.2232, loss: 31.0861 2022-04-29 16:59:13,426 - mmseg - INFO - Iter [40200/80000] lr: 7.143e-07, eta: 20:26:46, time: 1.793, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8156, decode.loss_mask: 0.7660, decode.loss_dice: 1.1911, decode.d0.loss_cls: 2.6864, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3682, decode.d1.loss_cls: 0.8872, decode.d1.loss_mask: 0.7992, decode.d1.loss_dice: 1.2838, decode.d2.loss_cls: 0.8440, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.2331, decode.d3.loss_cls: 0.8274, decode.d3.loss_mask: 0.7724, decode.d3.loss_dice: 1.2130, decode.d4.loss_cls: 0.8217, decode.d4.loss_mask: 0.7704, decode.d4.loss_dice: 1.2042, decode.d5.loss_cls: 0.8239, decode.d5.loss_mask: 0.7723, decode.d5.loss_dice: 1.1961, decode.d6.loss_cls: 0.8152, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.1942, decode.d7.loss_cls: 0.8159, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.1968, decode.d8.loss_cls: 0.8215, decode.d8.loss_mask: 0.7640, decode.d8.loss_dice: 1.1958, loss: 30.1599 2022-04-29 17:00:44,240 - mmseg - INFO - Iter [40250/80000] lr: 7.134e-07, eta: 20:25:12, time: 1.816, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8435, decode.loss_mask: 0.7705, decode.loss_dice: 1.1917, decode.d0.loss_cls: 2.7297, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.3814, decode.d1.loss_cls: 0.9346, decode.d1.loss_mask: 0.7974, decode.d1.loss_dice: 1.2924, decode.d2.loss_cls: 0.8685, decode.d2.loss_mask: 0.7886, decode.d2.loss_dice: 1.2402, decode.d3.loss_cls: 0.8586, decode.d3.loss_mask: 0.7726, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.8456, decode.d4.loss_mask: 0.7743, decode.d4.loss_dice: 1.2091, decode.d5.loss_cls: 0.8491, decode.d5.loss_mask: 0.7754, decode.d5.loss_dice: 1.2003, decode.d6.loss_cls: 0.8437, decode.d6.loss_mask: 0.7707, decode.d6.loss_dice: 1.1923, decode.d7.loss_cls: 0.8437, decode.d7.loss_mask: 0.7710, decode.d7.loss_dice: 1.1951, decode.d8.loss_cls: 0.8434, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1922, loss: 30.5301 2022-04-29 17:02:14,114 - mmseg - INFO - Iter [40300/80000] lr: 7.125e-07, eta: 20:23:37, time: 1.798, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8321, decode.loss_mask: 0.8104, decode.loss_dice: 1.2053, decode.d0.loss_cls: 2.6595, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.3974, decode.d1.loss_cls: 0.9056, decode.d1.loss_mask: 0.8345, decode.d1.loss_dice: 1.3126, decode.d2.loss_cls: 0.8585, decode.d2.loss_mask: 0.8224, decode.d2.loss_dice: 1.2481, decode.d3.loss_cls: 0.8505, decode.d3.loss_mask: 0.8135, decode.d3.loss_dice: 1.2340, decode.d4.loss_cls: 0.8358, decode.d4.loss_mask: 0.8132, decode.d4.loss_dice: 1.2296, decode.d5.loss_cls: 0.8367, decode.d5.loss_mask: 0.8154, decode.d5.loss_dice: 1.2229, decode.d6.loss_cls: 0.8307, decode.d6.loss_mask: 0.8090, decode.d6.loss_dice: 1.2109, decode.d7.loss_cls: 0.8309, decode.d7.loss_mask: 0.8126, decode.d7.loss_dice: 1.2124, decode.d8.loss_cls: 0.8250, decode.d8.loss_mask: 0.8135, decode.d8.loss_dice: 1.2126, loss: 30.9008 2022-04-29 17:03:43,629 - mmseg - INFO - Iter [40350/80000] lr: 7.116e-07, eta: 20:22:02, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8458, decode.loss_mask: 0.8155, decode.loss_dice: 1.2289, decode.d0.loss_cls: 2.6730, decode.d0.loss_mask: 0.8173, decode.d0.loss_dice: 1.4092, decode.d1.loss_cls: 0.9095, decode.d1.loss_mask: 0.8519, decode.d1.loss_dice: 1.3391, decode.d2.loss_cls: 0.8718, decode.d2.loss_mask: 0.8327, decode.d2.loss_dice: 1.2814, decode.d3.loss_cls: 0.8579, decode.d3.loss_mask: 0.8264, decode.d3.loss_dice: 1.2624, decode.d4.loss_cls: 0.8499, decode.d4.loss_mask: 0.8273, decode.d4.loss_dice: 1.2506, decode.d5.loss_cls: 0.8472, decode.d5.loss_mask: 0.8235, decode.d5.loss_dice: 1.2467, decode.d6.loss_cls: 0.8453, decode.d6.loss_mask: 0.8157, decode.d6.loss_dice: 1.2358, decode.d7.loss_cls: 0.8408, decode.d7.loss_mask: 0.8173, decode.d7.loss_dice: 1.2319, decode.d8.loss_cls: 0.8428, decode.d8.loss_mask: 0.8159, decode.d8.loss_dice: 1.2342, loss: 31.3475 2022-04-29 17:05:13,311 - mmseg - INFO - Iter [40400/80000] lr: 7.107e-07, eta: 20:20:27, time: 1.794, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8378, decode.loss_mask: 0.7854, decode.loss_dice: 1.1783, decode.d0.loss_cls: 2.6907, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 0.9088, decode.d1.loss_mask: 0.8248, decode.d1.loss_dice: 1.2865, decode.d2.loss_cls: 0.8603, decode.d2.loss_mask: 0.8050, decode.d2.loss_dice: 1.2237, decode.d3.loss_cls: 0.8458, decode.d3.loss_mask: 0.8004, decode.d3.loss_dice: 1.1987, decode.d4.loss_cls: 0.8400, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.1959, decode.d5.loss_cls: 0.8382, decode.d5.loss_mask: 0.7912, decode.d5.loss_dice: 1.1931, decode.d6.loss_cls: 0.8348, decode.d6.loss_mask: 0.7882, decode.d6.loss_dice: 1.1839, decode.d7.loss_cls: 0.8367, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.1862, decode.d8.loss_cls: 0.8307, decode.d8.loss_mask: 0.7935, decode.d8.loss_dice: 1.1908, loss: 30.4930 2022-04-29 17:06:42,556 - mmseg - INFO - Iter [40450/80000] lr: 7.098e-07, eta: 20:18:51, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8936, decode.loss_mask: 0.7620, decode.loss_dice: 1.2259, decode.d0.loss_cls: 2.7567, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.4157, decode.d1.loss_cls: 0.9804, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.3352, decode.d2.loss_cls: 0.9296, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.2705, decode.d3.loss_cls: 0.9070, decode.d3.loss_mask: 0.7755, decode.d3.loss_dice: 1.2522, decode.d4.loss_cls: 0.9062, decode.d4.loss_mask: 0.7716, decode.d4.loss_dice: 1.2464, decode.d5.loss_cls: 0.8992, decode.d5.loss_mask: 0.7688, decode.d5.loss_dice: 1.2414, decode.d6.loss_cls: 0.8915, decode.d6.loss_mask: 0.7611, decode.d6.loss_dice: 1.2335, decode.d7.loss_cls: 0.8960, decode.d7.loss_mask: 0.7618, decode.d7.loss_dice: 1.2286, decode.d8.loss_cls: 0.8947, decode.d8.loss_mask: 0.7625, decode.d8.loss_dice: 1.2291, loss: 31.3601 2022-04-29 17:08:13,157 - mmseg - INFO - Iter [40500/80000] lr: 7.089e-07, eta: 20:17:17, time: 1.812, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8539, decode.loss_mask: 0.7640, decode.loss_dice: 1.2405, decode.d0.loss_cls: 2.7185, decode.d0.loss_mask: 0.7688, decode.d0.loss_dice: 1.4383, decode.d1.loss_cls: 0.9448, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.3405, decode.d2.loss_cls: 0.8800, decode.d2.loss_mask: 0.7795, decode.d2.loss_dice: 1.2845, decode.d3.loss_cls: 0.8587, decode.d3.loss_mask: 0.7679, decode.d3.loss_dice: 1.2654, decode.d4.loss_cls: 0.8583, decode.d4.loss_mask: 0.7698, decode.d4.loss_dice: 1.2626, decode.d5.loss_cls: 0.8580, decode.d5.loss_mask: 0.7649, decode.d5.loss_dice: 1.2539, decode.d6.loss_cls: 0.8493, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.2473, decode.d7.loss_cls: 0.8515, decode.d7.loss_mask: 0.7657, decode.d7.loss_dice: 1.2395, decode.d8.loss_cls: 0.8501, decode.d8.loss_mask: 0.7661, decode.d8.loss_dice: 1.2431, loss: 31.0495 2022-04-29 17:09:43,614 - mmseg - INFO - Iter [40550/80000] lr: 7.080e-07, eta: 20:15:42, time: 1.808, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8126, decode.loss_mask: 0.7580, decode.loss_dice: 1.1782, decode.d0.loss_cls: 2.7089, decode.d0.loss_mask: 0.7639, decode.d0.loss_dice: 1.3567, decode.d1.loss_cls: 0.8941, decode.d1.loss_mask: 0.8010, decode.d1.loss_dice: 1.2779, decode.d2.loss_cls: 0.8424, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.8251, decode.d3.loss_mask: 0.7734, decode.d3.loss_dice: 1.2060, decode.d4.loss_cls: 0.8144, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.8097, decode.d5.loss_mask: 0.7659, decode.d5.loss_dice: 1.1880, decode.d6.loss_cls: 0.8111, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1741, decode.d7.loss_cls: 0.8051, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.1795, decode.d8.loss_cls: 0.8044, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.1847, loss: 29.9853 2022-04-29 17:11:14,857 - mmseg - INFO - Iter [40600/80000] lr: 7.071e-07, eta: 20:14:09, time: 1.826, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8058, decode.loss_mask: 0.7858, decode.loss_dice: 1.2058, decode.d0.loss_cls: 2.6430, decode.d0.loss_mask: 0.7882, decode.d0.loss_dice: 1.3686, decode.d1.loss_cls: 0.8819, decode.d1.loss_mask: 0.8073, decode.d1.loss_dice: 1.2960, decode.d2.loss_cls: 0.8255, decode.d2.loss_mask: 0.8023, decode.d2.loss_dice: 1.2445, decode.d3.loss_cls: 0.8204, decode.d3.loss_mask: 0.7948, decode.d3.loss_dice: 1.2284, decode.d4.loss_cls: 0.8174, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.2176, decode.d5.loss_cls: 0.8187, decode.d5.loss_mask: 0.7893, decode.d5.loss_dice: 1.2096, decode.d6.loss_cls: 0.8174, decode.d6.loss_mask: 0.7857, decode.d6.loss_dice: 1.2066, decode.d7.loss_cls: 0.8167, decode.d7.loss_mask: 0.7855, decode.d7.loss_dice: 1.2001, decode.d8.loss_cls: 0.8089, decode.d8.loss_mask: 0.7858, decode.d8.loss_dice: 1.2076, loss: 30.3541 2022-04-29 17:12:45,107 - mmseg - INFO - Iter [40650/80000] lr: 7.063e-07, eta: 20:12:34, time: 1.805, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8522, decode.loss_mask: 0.7555, decode.loss_dice: 1.1848, decode.d0.loss_cls: 2.7569, decode.d0.loss_mask: 0.7624, decode.d0.loss_dice: 1.3853, decode.d1.loss_cls: 0.9493, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2871, decode.d2.loss_cls: 0.8876, decode.d2.loss_mask: 0.7687, decode.d2.loss_dice: 1.2310, decode.d3.loss_cls: 0.8733, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.2080, decode.d4.loss_cls: 0.8659, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.2079, decode.d5.loss_cls: 0.8551, decode.d5.loss_mask: 0.7658, decode.d5.loss_dice: 1.1956, decode.d6.loss_cls: 0.8611, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1871, decode.d7.loss_cls: 0.8550, decode.d7.loss_mask: 0.7560, decode.d7.loss_dice: 1.1925, decode.d8.loss_cls: 0.8536, decode.d8.loss_mask: 0.7520, decode.d8.loss_dice: 1.1897, loss: 30.5171 2022-04-29 17:14:13,924 - mmseg - INFO - Iter [40700/80000] lr: 7.054e-07, eta: 20:10:58, time: 1.776, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8055, decode.loss_mask: 0.7703, decode.loss_dice: 1.2077, decode.d0.loss_cls: 2.6539, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3727, decode.d1.loss_cls: 0.8823, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.3091, decode.d2.loss_cls: 0.8330, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2526, decode.d3.loss_cls: 0.8178, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.2323, decode.d4.loss_cls: 0.8171, decode.d4.loss_mask: 0.7704, decode.d4.loss_dice: 1.2307, decode.d5.loss_cls: 0.8122, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.2187, decode.d6.loss_cls: 0.8108, decode.d6.loss_mask: 0.7682, decode.d6.loss_dice: 1.2061, decode.d7.loss_cls: 0.8054, decode.d7.loss_mask: 0.7694, decode.d7.loss_dice: 1.2108, decode.d8.loss_cls: 0.8054, decode.d8.loss_mask: 0.7694, decode.d8.loss_dice: 1.2070, loss: 30.2266 2022-04-29 17:15:42,776 - mmseg - INFO - Iter [40750/80000] lr: 7.045e-07, eta: 20:09:22, time: 1.777, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8879, decode.loss_mask: 0.7612, decode.loss_dice: 1.2057, decode.d0.loss_cls: 2.7277, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.4024, decode.d1.loss_cls: 0.9680, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.3122, decode.d2.loss_cls: 0.9080, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.2555, decode.d3.loss_cls: 0.8938, decode.d3.loss_mask: 0.7803, decode.d3.loss_dice: 1.2359, decode.d4.loss_cls: 0.8968, decode.d4.loss_mask: 0.7725, decode.d4.loss_dice: 1.2242, decode.d5.loss_cls: 0.8930, decode.d5.loss_mask: 0.7717, decode.d5.loss_dice: 1.2203, decode.d6.loss_cls: 0.8915, decode.d6.loss_mask: 0.7667, decode.d6.loss_dice: 1.2096, decode.d7.loss_cls: 0.8918, decode.d7.loss_mask: 0.7606, decode.d7.loss_dice: 1.2089, decode.d8.loss_cls: 0.8851, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.2051, loss: 31.0431 2022-04-29 17:17:12,099 - mmseg - INFO - Iter [40800/80000] lr: 7.036e-07, eta: 20:07:47, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8073, decode.loss_mask: 0.7579, decode.loss_dice: 1.1723, decode.d0.loss_cls: 2.6270, decode.d0.loss_mask: 0.7645, decode.d0.loss_dice: 1.3650, decode.d1.loss_cls: 0.8899, decode.d1.loss_mask: 0.7895, decode.d1.loss_dice: 1.2697, decode.d2.loss_cls: 0.8420, decode.d2.loss_mask: 0.7709, decode.d2.loss_dice: 1.2175, decode.d3.loss_cls: 0.8173, decode.d3.loss_mask: 0.7712, decode.d3.loss_dice: 1.1964, decode.d4.loss_cls: 0.8166, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.1932, decode.d5.loss_cls: 0.8092, decode.d5.loss_mask: 0.7647, decode.d5.loss_dice: 1.1856, decode.d6.loss_cls: 0.8105, decode.d6.loss_mask: 0.7612, decode.d6.loss_dice: 1.1729, decode.d7.loss_cls: 0.8067, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.1816, decode.d8.loss_cls: 0.8119, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.1746, loss: 29.8337 2022-04-29 17:18:41,740 - mmseg - INFO - Iter [40850/80000] lr: 7.027e-07, eta: 20:06:12, time: 1.794, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8475, decode.loss_mask: 0.7892, decode.loss_dice: 1.2042, decode.d0.loss_cls: 2.6870, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.3830, decode.d1.loss_cls: 0.9345, decode.d1.loss_mask: 0.8162, decode.d1.loss_dice: 1.2948, decode.d2.loss_cls: 0.8787, decode.d2.loss_mask: 0.8056, decode.d2.loss_dice: 1.2447, decode.d3.loss_cls: 0.8606, decode.d3.loss_mask: 0.7950, decode.d3.loss_dice: 1.2187, decode.d4.loss_cls: 0.8518, decode.d4.loss_mask: 0.7917, decode.d4.loss_dice: 1.2206, decode.d5.loss_cls: 0.8484, decode.d5.loss_mask: 0.7879, decode.d5.loss_dice: 1.2133, decode.d6.loss_cls: 0.8494, decode.d6.loss_mask: 0.7895, decode.d6.loss_dice: 1.1995, decode.d7.loss_cls: 0.8412, decode.d7.loss_mask: 0.7927, decode.d7.loss_dice: 1.1976, decode.d8.loss_cls: 0.8385, decode.d8.loss_mask: 0.7939, decode.d8.loss_dice: 1.2106, loss: 30.7756 2022-04-29 17:20:11,405 - mmseg - INFO - Iter [40900/80000] lr: 7.018e-07, eta: 20:04:37, time: 1.791, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8513, decode.loss_mask: 0.7790, decode.loss_dice: 1.2308, decode.d0.loss_cls: 2.7175, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.4279, decode.d1.loss_cls: 0.9404, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.3346, decode.d2.loss_cls: 0.8847, decode.d2.loss_mask: 0.7926, decode.d2.loss_dice: 1.2794, decode.d3.loss_cls: 0.8718, decode.d3.loss_mask: 0.7864, decode.d3.loss_dice: 1.2542, decode.d4.loss_cls: 0.8706, decode.d4.loss_mask: 0.7797, decode.d4.loss_dice: 1.2535, decode.d5.loss_cls: 0.8693, decode.d5.loss_mask: 0.7808, decode.d5.loss_dice: 1.2422, decode.d6.loss_cls: 0.8574, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.2336, decode.d7.loss_cls: 0.8565, decode.d7.loss_mask: 0.7779, decode.d7.loss_dice: 1.2308, decode.d8.loss_cls: 0.8498, decode.d8.loss_mask: 0.7773, decode.d8.loss_dice: 1.2438, loss: 31.1550 2022-04-29 17:21:41,095 - mmseg - INFO - Iter [40950/80000] lr: 7.009e-07, eta: 20:03:02, time: 1.796, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8117, decode.loss_mask: 0.7857, decode.loss_dice: 1.2031, decode.d0.loss_cls: 2.6650, decode.d0.loss_mask: 0.7784, decode.d0.loss_dice: 1.3771, decode.d1.loss_cls: 0.9009, decode.d1.loss_mask: 0.8223, decode.d1.loss_dice: 1.2871, decode.d2.loss_cls: 0.8478, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2420, decode.d3.loss_cls: 0.8408, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.2091, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.7828, decode.d4.loss_dice: 1.2126, decode.d5.loss_cls: 0.8274, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.2095, decode.d6.loss_cls: 0.8204, decode.d6.loss_mask: 0.7845, decode.d6.loss_dice: 1.2085, decode.d7.loss_cls: 0.8167, decode.d7.loss_mask: 0.7817, decode.d7.loss_dice: 1.2083, decode.d8.loss_cls: 0.8144, decode.d8.loss_mask: 0.7845, decode.d8.loss_dice: 1.2054, loss: 30.4231 2022-04-29 17:23:10,170 - mmseg - INFO - Saving checkpoint at 41000 iterations 2022-04-29 17:23:39,752 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 17:23:39,762 - mmseg - INFO - Iter [41000/80000] lr: 7.000e-07, eta: 20:01:54, time: 2.371, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8247, decode.loss_mask: 0.7806, decode.loss_dice: 1.2325, decode.d0.loss_cls: 2.6609, decode.d0.loss_mask: 0.7779, decode.d0.loss_dice: 1.4149, decode.d1.loss_cls: 0.9105, decode.d1.loss_mask: 0.8138, decode.d1.loss_dice: 1.3378, decode.d2.loss_cls: 0.8567, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2711, decode.d3.loss_cls: 0.8386, decode.d3.loss_mask: 0.7860, decode.d3.loss_dice: 1.2549, decode.d4.loss_cls: 0.8312, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.2431, decode.d5.loss_cls: 0.8263, decode.d5.loss_mask: 0.7827, decode.d5.loss_dice: 1.2453, decode.d6.loss_cls: 0.8207, decode.d6.loss_mask: 0.7793, decode.d6.loss_dice: 1.2421, decode.d7.loss_cls: 0.8248, decode.d7.loss_mask: 0.7852, decode.d7.loss_dice: 1.2322, decode.d8.loss_cls: 0.8241, decode.d8.loss_mask: 0.7787, decode.d8.loss_dice: 1.2421, loss: 30.7968 2022-04-29 17:25:09,307 - mmseg - INFO - Iter [41050/80000] lr: 6.991e-07, eta: 20:00:19, time: 1.793, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8570, decode.loss_mask: 0.7601, decode.loss_dice: 1.2162, decode.d0.loss_cls: 2.7104, decode.d0.loss_mask: 0.7724, decode.d0.loss_dice: 1.3903, decode.d1.loss_cls: 0.9360, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.3088, decode.d2.loss_cls: 0.8754, decode.d2.loss_mask: 0.7774, decode.d2.loss_dice: 1.2643, decode.d3.loss_cls: 0.8717, decode.d3.loss_mask: 0.7692, decode.d3.loss_dice: 1.2296, decode.d4.loss_cls: 0.8705, decode.d4.loss_mask: 0.7652, decode.d4.loss_dice: 1.2284, decode.d5.loss_cls: 0.8656, decode.d5.loss_mask: 0.7638, decode.d5.loss_dice: 1.2257, decode.d6.loss_cls: 0.8585, decode.d6.loss_mask: 0.7615, decode.d6.loss_dice: 1.2148, decode.d7.loss_cls: 0.8619, decode.d7.loss_mask: 0.7638, decode.d7.loss_dice: 1.2183, decode.d8.loss_cls: 0.8545, decode.d8.loss_mask: 0.7605, decode.d8.loss_dice: 1.2167, loss: 30.7610 2022-04-29 17:26:40,258 - mmseg - INFO - Iter [41100/80000] lr: 6.982e-07, eta: 19:58:45, time: 1.819, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8360, decode.loss_mask: 0.7596, decode.loss_dice: 1.1952, decode.d0.loss_cls: 2.7547, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.3740, decode.d1.loss_cls: 0.9197, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.2835, decode.d2.loss_cls: 0.8609, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2333, decode.d3.loss_cls: 0.8440, decode.d3.loss_mask: 0.7717, decode.d3.loss_dice: 1.2147, decode.d4.loss_cls: 0.8405, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.1998, decode.d5.loss_cls: 0.8410, decode.d5.loss_mask: 0.7594, decode.d5.loss_dice: 1.2057, decode.d6.loss_cls: 0.8360, decode.d6.loss_mask: 0.7587, decode.d6.loss_dice: 1.1940, decode.d7.loss_cls: 0.8292, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 0.8294, decode.d8.loss_mask: 0.7573, decode.d8.loss_dice: 1.1982, loss: 30.3379 2022-04-29 17:28:09,513 - mmseg - INFO - Iter [41150/80000] lr: 6.973e-07, eta: 19:57:10, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8183, decode.loss_mask: 0.7957, decode.loss_dice: 1.2167, decode.d0.loss_cls: 2.6405, decode.d0.loss_mask: 0.7991, decode.d0.loss_dice: 1.3934, decode.d1.loss_cls: 0.8979, decode.d1.loss_mask: 0.8277, decode.d1.loss_dice: 1.3185, decode.d2.loss_cls: 0.8535, decode.d2.loss_mask: 0.8084, decode.d2.loss_dice: 1.2634, decode.d3.loss_cls: 0.8380, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.2414, decode.d4.loss_cls: 0.8331, decode.d4.loss_mask: 0.7993, decode.d4.loss_dice: 1.2357, decode.d5.loss_cls: 0.8295, decode.d5.loss_mask: 0.7948, decode.d5.loss_dice: 1.2343, decode.d6.loss_cls: 0.8220, decode.d6.loss_mask: 0.7939, decode.d6.loss_dice: 1.2198, decode.d7.loss_cls: 0.8097, decode.d7.loss_mask: 0.7985, decode.d7.loss_dice: 1.2199, decode.d8.loss_cls: 0.8124, decode.d8.loss_mask: 0.7943, decode.d8.loss_dice: 1.2199, loss: 30.7314 2022-04-29 17:29:39,089 - mmseg - INFO - Iter [41200/80000] lr: 6.964e-07, eta: 19:55:35, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8018, decode.loss_mask: 0.7728, decode.loss_dice: 1.2172, decode.d0.loss_cls: 2.6768, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.3881, decode.d1.loss_cls: 0.8874, decode.d1.loss_mask: 0.7983, decode.d1.loss_dice: 1.3085, decode.d2.loss_cls: 0.8203, decode.d2.loss_mask: 0.7924, decode.d2.loss_dice: 1.2590, decode.d3.loss_cls: 0.8070, decode.d3.loss_mask: 0.7851, decode.d3.loss_dice: 1.2379, decode.d4.loss_cls: 0.8120, decode.d4.loss_mask: 0.7793, decode.d4.loss_dice: 1.2352, decode.d5.loss_cls: 0.8024, decode.d5.loss_mask: 0.7785, decode.d5.loss_dice: 1.2230, decode.d6.loss_cls: 0.8063, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.2125, decode.d7.loss_cls: 0.8031, decode.d7.loss_mask: 0.7715, decode.d7.loss_dice: 1.2165, decode.d8.loss_cls: 0.7970, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.2228, loss: 30.3276 2022-04-29 17:31:09,714 - mmseg - INFO - Iter [41250/80000] lr: 6.955e-07, eta: 19:54:00, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8341, decode.loss_mask: 0.7646, decode.loss_dice: 1.2024, decode.d0.loss_cls: 2.6641, decode.d0.loss_mask: 0.7644, decode.d0.loss_dice: 1.3875, decode.d1.loss_cls: 0.9168, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.3095, decode.d2.loss_cls: 0.8551, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.2507, decode.d3.loss_cls: 0.8467, decode.d3.loss_mask: 0.7706, decode.d3.loss_dice: 1.2274, decode.d4.loss_cls: 0.8473, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.2207, decode.d5.loss_cls: 0.8380, decode.d5.loss_mask: 0.7669, decode.d5.loss_dice: 1.2133, decode.d6.loss_cls: 0.8389, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.2043, decode.d7.loss_cls: 0.8406, decode.d7.loss_mask: 0.7659, decode.d7.loss_dice: 1.2085, decode.d8.loss_cls: 0.8362, decode.d8.loss_mask: 0.7629, decode.d8.loss_dice: 1.2070, loss: 30.4474 2022-04-29 17:32:40,032 - mmseg - INFO - Iter [41300/80000] lr: 6.946e-07, eta: 19:52:26, time: 1.806, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8225, decode.loss_mask: 0.7990, decode.loss_dice: 1.2001, decode.d0.loss_cls: 2.6589, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.3910, decode.d1.loss_cls: 0.9160, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.2905, decode.d2.loss_cls: 0.8591, decode.d2.loss_mask: 0.8076, decode.d2.loss_dice: 1.2479, decode.d3.loss_cls: 0.8437, decode.d3.loss_mask: 0.7956, decode.d3.loss_dice: 1.2191, decode.d4.loss_cls: 0.8402, decode.d4.loss_mask: 0.7936, decode.d4.loss_dice: 1.2188, decode.d5.loss_cls: 0.8352, decode.d5.loss_mask: 0.7970, decode.d5.loss_dice: 1.2162, decode.d6.loss_cls: 0.8271, decode.d6.loss_mask: 0.7909, decode.d6.loss_dice: 1.2054, decode.d7.loss_cls: 0.8289, decode.d7.loss_mask: 0.7957, decode.d7.loss_dice: 1.2068, decode.d8.loss_cls: 0.8290, decode.d8.loss_mask: 0.7918, decode.d8.loss_dice: 1.2086, loss: 30.6462 2022-04-29 17:34:11,429 - mmseg - INFO - Iter [41350/80000] lr: 6.937e-07, eta: 19:50:53, time: 1.828, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7981, decode.loss_mask: 0.7764, decode.loss_dice: 1.2110, decode.d0.loss_cls: 2.6483, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3909, decode.d1.loss_cls: 0.8890, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.3215, decode.d2.loss_cls: 0.8281, decode.d2.loss_mask: 0.7951, decode.d2.loss_dice: 1.2603, decode.d3.loss_cls: 0.8071, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.2315, decode.d4.loss_cls: 0.7963, decode.d4.loss_mask: 0.7877, decode.d4.loss_dice: 1.2285, decode.d5.loss_cls: 0.7972, decode.d5.loss_mask: 0.7813, decode.d5.loss_dice: 1.2237, decode.d6.loss_cls: 0.7995, decode.d6.loss_mask: 0.7774, decode.d6.loss_dice: 1.2101, decode.d7.loss_cls: 0.7959, decode.d7.loss_mask: 0.7782, decode.d7.loss_dice: 1.2229, decode.d8.loss_cls: 0.8017, decode.d8.loss_mask: 0.7793, decode.d8.loss_dice: 1.2172, loss: 30.3389 2022-04-29 17:35:41,748 - mmseg - INFO - Iter [41400/80000] lr: 6.928e-07, eta: 19:49:18, time: 1.806, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8211, decode.loss_mask: 0.7694, decode.loss_dice: 1.1791, decode.d0.loss_cls: 2.6706, decode.d0.loss_mask: 0.7760, decode.d0.loss_dice: 1.3609, decode.d1.loss_cls: 0.9051, decode.d1.loss_mask: 0.8036, decode.d1.loss_dice: 1.2717, decode.d2.loss_cls: 0.8469, decode.d2.loss_mask: 0.7899, decode.d2.loss_dice: 1.2311, decode.d3.loss_cls: 0.8272, decode.d3.loss_mask: 0.7840, decode.d3.loss_dice: 1.2017, decode.d4.loss_cls: 0.8204, decode.d4.loss_mask: 0.7835, decode.d4.loss_dice: 1.2090, decode.d5.loss_cls: 0.8132, decode.d5.loss_mask: 0.7824, decode.d5.loss_dice: 1.1931, decode.d6.loss_cls: 0.8072, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.1906, decode.d7.loss_cls: 0.8143, decode.d7.loss_mask: 0.7796, decode.d7.loss_dice: 1.1848, decode.d8.loss_cls: 0.8154, decode.d8.loss_mask: 0.7728, decode.d8.loss_dice: 1.1824, loss: 30.1693 2022-04-29 17:37:11,277 - mmseg - INFO - Iter [41450/80000] lr: 6.919e-07, eta: 19:47:43, time: 1.790, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8544, decode.loss_mask: 0.7860, decode.loss_dice: 1.2254, decode.d0.loss_cls: 2.6864, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.4195, decode.d1.loss_cls: 0.9396, decode.d1.loss_mask: 0.8138, decode.d1.loss_dice: 1.3239, decode.d2.loss_cls: 0.8794, decode.d2.loss_mask: 0.8011, decode.d2.loss_dice: 1.2747, decode.d3.loss_cls: 0.8764, decode.d3.loss_mask: 0.7890, decode.d3.loss_dice: 1.2416, decode.d4.loss_cls: 0.8711, decode.d4.loss_mask: 0.7865, decode.d4.loss_dice: 1.2377, decode.d5.loss_cls: 0.8626, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.2362, decode.d6.loss_cls: 0.8630, decode.d6.loss_mask: 0.7850, decode.d6.loss_dice: 1.2255, decode.d7.loss_cls: 0.8527, decode.d7.loss_mask: 0.7833, decode.d7.loss_dice: 1.2321, decode.d8.loss_cls: 0.8513, decode.d8.loss_mask: 0.7855, decode.d8.loss_dice: 1.2269, loss: 31.0912 2022-04-29 17:38:40,952 - mmseg - INFO - Iter [41500/80000] lr: 6.910e-07, eta: 19:46:08, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8063, decode.loss_mask: 0.7654, decode.loss_dice: 1.2027, decode.d0.loss_cls: 2.7004, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3980, decode.d1.loss_cls: 0.9057, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.3099, decode.d2.loss_cls: 0.8464, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.2537, decode.d3.loss_cls: 0.8256, decode.d3.loss_mask: 0.7713, decode.d3.loss_dice: 1.2292, decode.d4.loss_cls: 0.8174, decode.d4.loss_mask: 0.7686, decode.d4.loss_dice: 1.2246, decode.d5.loss_cls: 0.8172, decode.d5.loss_mask: 0.7665, decode.d5.loss_dice: 1.2058, decode.d6.loss_cls: 0.8126, decode.d6.loss_mask: 0.7673, decode.d6.loss_dice: 1.2032, decode.d7.loss_cls: 0.8056, decode.d7.loss_mask: 0.7640, decode.d7.loss_dice: 1.2051, decode.d8.loss_cls: 0.8122, decode.d8.loss_mask: 0.7640, decode.d8.loss_dice: 1.2013, loss: 30.2861 2022-04-29 17:40:10,058 - mmseg - INFO - Iter [41550/80000] lr: 6.901e-07, eta: 19:44:33, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8334, decode.loss_mask: 0.7790, decode.loss_dice: 1.1916, decode.d0.loss_cls: 2.6993, decode.d0.loss_mask: 0.7842, decode.d0.loss_dice: 1.3952, decode.d1.loss_cls: 0.9212, decode.d1.loss_mask: 0.8121, decode.d1.loss_dice: 1.2922, decode.d2.loss_cls: 0.8602, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2411, decode.d3.loss_cls: 0.8560, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.2183, decode.d4.loss_cls: 0.8437, decode.d4.loss_mask: 0.7776, decode.d4.loss_dice: 1.2148, decode.d5.loss_cls: 0.8333, decode.d5.loss_mask: 0.7783, decode.d5.loss_dice: 1.2141, decode.d6.loss_cls: 0.8311, decode.d6.loss_mask: 0.7742, decode.d6.loss_dice: 1.2036, decode.d7.loss_cls: 0.8283, decode.d7.loss_mask: 0.7754, decode.d7.loss_dice: 1.2012, decode.d8.loss_cls: 0.8352, decode.d8.loss_mask: 0.7787, decode.d8.loss_dice: 1.1974, loss: 30.5408 2022-04-29 17:41:38,673 - mmseg - INFO - Iter [41600/80000] lr: 6.892e-07, eta: 19:42:57, time: 1.772, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8010, decode.loss_mask: 0.7779, decode.loss_dice: 1.1822, decode.d0.loss_cls: 2.6349, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.3571, decode.d1.loss_cls: 0.8918, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.2773, decode.d2.loss_cls: 0.8366, decode.d2.loss_mask: 0.7947, decode.d2.loss_dice: 1.2294, decode.d3.loss_cls: 0.8192, decode.d3.loss_mask: 0.7820, decode.d3.loss_dice: 1.2034, decode.d4.loss_cls: 0.8130, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.2045, decode.d5.loss_cls: 0.8062, decode.d5.loss_mask: 0.7839, decode.d5.loss_dice: 1.1965, decode.d6.loss_cls: 0.8067, decode.d6.loss_mask: 0.7788, decode.d6.loss_dice: 1.1807, decode.d7.loss_cls: 0.8078, decode.d7.loss_mask: 0.7791, decode.d7.loss_dice: 1.1758, decode.d8.loss_cls: 0.8026, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.1744, loss: 30.0427 2022-04-29 17:43:08,239 - mmseg - INFO - Iter [41650/80000] lr: 6.883e-07, eta: 19:41:22, time: 1.792, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8477, decode.loss_mask: 0.7835, decode.loss_dice: 1.1979, decode.d0.loss_cls: 2.7024, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3963, decode.d1.loss_cls: 0.9435, decode.d1.loss_mask: 0.8076, decode.d1.loss_dice: 1.3043, decode.d2.loss_cls: 0.8923, decode.d2.loss_mask: 0.7948, decode.d2.loss_dice: 1.2411, decode.d3.loss_cls: 0.8729, decode.d3.loss_mask: 0.7856, decode.d3.loss_dice: 1.2134, decode.d4.loss_cls: 0.8619, decode.d4.loss_mask: 0.7853, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8600, decode.d5.loss_mask: 0.7816, decode.d5.loss_dice: 1.2069, decode.d6.loss_cls: 0.8469, decode.d6.loss_mask: 0.7802, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.8478, decode.d7.loss_mask: 0.7810, decode.d7.loss_dice: 1.1972, decode.d8.loss_cls: 0.8448, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.1966, loss: 30.7570 2022-04-29 17:44:38,038 - mmseg - INFO - Iter [41700/80000] lr: 6.874e-07, eta: 19:39:47, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8449, decode.loss_mask: 0.7829, decode.loss_dice: 1.2351, decode.d0.loss_cls: 2.6933, decode.d0.loss_mask: 0.7944, decode.d0.loss_dice: 1.4313, decode.d1.loss_cls: 0.9233, decode.d1.loss_mask: 0.8168, decode.d1.loss_dice: 1.3349, decode.d2.loss_cls: 0.8732, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.2797, decode.d3.loss_cls: 0.8560, decode.d3.loss_mask: 0.7933, decode.d3.loss_dice: 1.2487, decode.d4.loss_cls: 0.8481, decode.d4.loss_mask: 0.7961, decode.d4.loss_dice: 1.2464, decode.d5.loss_cls: 0.8464, decode.d5.loss_mask: 0.7920, decode.d5.loss_dice: 1.2424, decode.d6.loss_cls: 0.8450, decode.d6.loss_mask: 0.7852, decode.d6.loss_dice: 1.2321, decode.d7.loss_cls: 0.8436, decode.d7.loss_mask: 0.7873, decode.d7.loss_dice: 1.2338, decode.d8.loss_cls: 0.8403, decode.d8.loss_mask: 0.7859, decode.d8.loss_dice: 1.2340, loss: 31.0634 2022-04-29 17:46:09,509 - mmseg - INFO - Iter [41750/80000] lr: 6.865e-07, eta: 19:38:14, time: 1.829, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8288, decode.loss_mask: 0.7761, decode.loss_dice: 1.1864, decode.d0.loss_cls: 2.6516, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.3641, decode.d1.loss_cls: 0.9143, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.2805, decode.d2.loss_cls: 0.8626, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.2247, decode.d3.loss_cls: 0.8412, decode.d3.loss_mask: 0.7830, decode.d3.loss_dice: 1.2005, decode.d4.loss_cls: 0.8321, decode.d4.loss_mask: 0.7825, decode.d4.loss_dice: 1.1995, decode.d5.loss_cls: 0.8383, decode.d5.loss_mask: 0.7763, decode.d5.loss_dice: 1.1947, decode.d6.loss_cls: 0.8276, decode.d6.loss_mask: 0.7761, decode.d6.loss_dice: 1.1831, decode.d7.loss_cls: 0.8327, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.1881, decode.d8.loss_cls: 0.8279, decode.d8.loss_mask: 0.7772, decode.d8.loss_dice: 1.1877, loss: 30.2913 2022-04-29 17:47:39,420 - mmseg - INFO - Iter [41800/80000] lr: 6.856e-07, eta: 19:36:39, time: 1.799, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7911, decode.loss_mask: 0.7558, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.6364, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3591, decode.d1.loss_cls: 0.8764, decode.d1.loss_mask: 0.7967, decode.d1.loss_dice: 1.2661, decode.d2.loss_cls: 0.8323, decode.d2.loss_mask: 0.7697, decode.d2.loss_dice: 1.2102, decode.d3.loss_cls: 0.8151, decode.d3.loss_mask: 0.7639, decode.d3.loss_dice: 1.1874, decode.d4.loss_cls: 0.8123, decode.d4.loss_mask: 0.7641, decode.d4.loss_dice: 1.1800, decode.d5.loss_cls: 0.8061, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.1738, decode.d6.loss_cls: 0.8034, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1671, decode.d7.loss_cls: 0.8027, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.1676, decode.d8.loss_cls: 0.7954, decode.d8.loss_mask: 0.7590, decode.d8.loss_dice: 1.1689, loss: 29.6781 2022-04-29 17:49:09,120 - mmseg - INFO - Iter [41850/80000] lr: 6.847e-07, eta: 19:35:04, time: 1.794, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8400, decode.loss_mask: 0.7705, decode.loss_dice: 1.2300, decode.d0.loss_cls: 2.6779, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.4187, decode.d1.loss_cls: 0.9243, decode.d1.loss_mask: 0.7989, decode.d1.loss_dice: 1.3305, decode.d2.loss_cls: 0.8594, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.2819, decode.d3.loss_cls: 0.8525, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.2449, decode.d4.loss_cls: 0.8408, decode.d4.loss_mask: 0.7738, decode.d4.loss_dice: 1.2471, decode.d5.loss_cls: 0.8411, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.2404, decode.d6.loss_cls: 0.8419, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.2313, decode.d7.loss_cls: 0.8381, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.2285, decode.d8.loss_cls: 0.8392, decode.d8.loss_mask: 0.7676, decode.d8.loss_dice: 1.2318, loss: 30.7759 2022-04-29 17:50:39,659 - mmseg - INFO - Iter [41900/80000] lr: 6.838e-07, eta: 19:33:30, time: 1.811, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8071, decode.loss_mask: 0.7557, decode.loss_dice: 1.1907, decode.d0.loss_cls: 2.6663, decode.d0.loss_mask: 0.7529, decode.d0.loss_dice: 1.3757, decode.d1.loss_cls: 0.8963, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.2957, decode.d2.loss_cls: 0.8380, decode.d2.loss_mask: 0.7664, decode.d2.loss_dice: 1.2289, decode.d3.loss_cls: 0.8304, decode.d3.loss_mask: 0.7572, decode.d3.loss_dice: 1.2103, decode.d4.loss_cls: 0.8169, decode.d4.loss_mask: 0.7548, decode.d4.loss_dice: 1.2032, decode.d5.loss_cls: 0.8130, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1984, decode.d6.loss_cls: 0.8034, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1889, decode.d7.loss_cls: 0.8044, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 0.8055, decode.d8.loss_mask: 0.7576, decode.d8.loss_dice: 1.1920, loss: 29.9476 2022-04-29 17:52:09,605 - mmseg - INFO - Iter [41950/80000] lr: 6.829e-07, eta: 19:31:55, time: 1.799, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8086, decode.loss_mask: 0.7564, decode.loss_dice: 1.1838, decode.d0.loss_cls: 2.6182, decode.d0.loss_mask: 0.7554, decode.d0.loss_dice: 1.3674, decode.d1.loss_cls: 0.8890, decode.d1.loss_mask: 0.7855, decode.d1.loss_dice: 1.2817, decode.d2.loss_cls: 0.8374, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.2367, decode.d3.loss_cls: 0.8246, decode.d3.loss_mask: 0.7640, decode.d3.loss_dice: 1.2088, decode.d4.loss_cls: 0.8164, decode.d4.loss_mask: 0.7650, decode.d4.loss_dice: 1.2003, decode.d5.loss_cls: 0.8213, decode.d5.loss_mask: 0.7547, decode.d5.loss_dice: 1.2003, decode.d6.loss_cls: 0.8149, decode.d6.loss_mask: 0.7545, decode.d6.loss_dice: 1.1848, decode.d7.loss_cls: 0.8102, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.1874, decode.d8.loss_cls: 0.8118, decode.d8.loss_mask: 0.7582, decode.d8.loss_dice: 1.1825, loss: 29.9084 2022-04-29 17:53:38,952 - mmseg - INFO - Saving checkpoint at 42000 iterations 2022-04-29 17:54:10,512 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 17:54:10,518 - mmseg - INFO - Iter [42000/80000] lr: 6.820e-07, eta: 19:30:49, time: 2.416, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8394, decode.loss_mask: 0.7855, decode.loss_dice: 1.2168, decode.d0.loss_cls: 2.6323, decode.d0.loss_mask: 0.7842, decode.d0.loss_dice: 1.4002, decode.d1.loss_cls: 0.9439, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.3226, decode.d2.loss_cls: 0.8726, decode.d2.loss_mask: 0.7966, decode.d2.loss_dice: 1.2629, decode.d3.loss_cls: 0.8612, decode.d3.loss_mask: 0.7920, decode.d3.loss_dice: 1.2375, decode.d4.loss_cls: 0.8563, decode.d4.loss_mask: 0.7889, decode.d4.loss_dice: 1.2366, decode.d5.loss_cls: 0.8427, decode.d5.loss_mask: 0.7905, decode.d5.loss_dice: 1.2295, decode.d6.loss_cls: 0.8410, decode.d6.loss_mask: 0.7844, decode.d6.loss_dice: 1.2248, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.7837, decode.d7.loss_dice: 1.2211, decode.d8.loss_cls: 0.8355, decode.d8.loss_mask: 0.7838, decode.d8.loss_dice: 1.2247, loss: 30.8449 2022-04-29 17:55:40,010 - mmseg - INFO - Iter [42050/80000] lr: 6.811e-07, eta: 19:29:14, time: 1.792, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8154, decode.loss_mask: 0.7814, decode.loss_dice: 1.1801, decode.d0.loss_cls: 2.6204, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3517, decode.d1.loss_cls: 0.8994, decode.d1.loss_mask: 0.8108, decode.d1.loss_dice: 1.2639, decode.d2.loss_cls: 0.8320, decode.d2.loss_mask: 0.7992, decode.d2.loss_dice: 1.2175, decode.d3.loss_cls: 0.8229, decode.d3.loss_mask: 0.7885, decode.d3.loss_dice: 1.1902, decode.d4.loss_cls: 0.8157, decode.d4.loss_mask: 0.7913, decode.d4.loss_dice: 1.1985, decode.d5.loss_cls: 0.8225, decode.d5.loss_mask: 0.7850, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.8175, decode.d6.loss_mask: 0.7829, decode.d6.loss_dice: 1.1805, decode.d7.loss_cls: 0.8096, decode.d7.loss_mask: 0.7845, decode.d7.loss_dice: 1.1840, decode.d8.loss_cls: 0.8039, decode.d8.loss_mask: 0.7849, decode.d8.loss_dice: 1.1833, loss: 30.0868 2022-04-29 17:57:09,416 - mmseg - INFO - Iter [42100/80000] lr: 6.802e-07, eta: 19:27:38, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8368, decode.loss_mask: 0.7791, decode.loss_dice: 1.1762, decode.d0.loss_cls: 2.6513, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3541, decode.d1.loss_cls: 0.9372, decode.d1.loss_mask: 0.8095, decode.d1.loss_dice: 1.2696, decode.d2.loss_cls: 0.8651, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.2208, decode.d3.loss_cls: 0.8518, decode.d3.loss_mask: 0.7866, decode.d3.loss_dice: 1.1933, decode.d4.loss_cls: 0.8410, decode.d4.loss_mask: 0.7882, decode.d4.loss_dice: 1.1972, decode.d5.loss_cls: 0.8398, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.1958, decode.d6.loss_cls: 0.8365, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.1811, decode.d7.loss_cls: 0.8311, decode.d7.loss_mask: 0.7812, decode.d7.loss_dice: 1.1811, decode.d8.loss_cls: 0.8279, decode.d8.loss_mask: 0.7760, decode.d8.loss_dice: 1.1799, loss: 30.3299 2022-04-29 17:58:38,285 - mmseg - INFO - Iter [42150/80000] lr: 6.793e-07, eta: 19:26:03, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8125, decode.loss_mask: 0.7474, decode.loss_dice: 1.1620, decode.d0.loss_cls: 2.6602, decode.d0.loss_mask: 0.7427, decode.d0.loss_dice: 1.3492, decode.d1.loss_cls: 0.8975, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 0.8450, decode.d2.loss_mask: 0.7589, decode.d2.loss_dice: 1.2117, decode.d3.loss_cls: 0.8302, decode.d3.loss_mask: 0.7536, decode.d3.loss_dice: 1.1858, decode.d4.loss_cls: 0.8227, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1805, decode.d5.loss_cls: 0.8257, decode.d5.loss_mask: 0.7457, decode.d5.loss_dice: 1.1712, decode.d6.loss_cls: 0.8229, decode.d6.loss_mask: 0.7439, decode.d6.loss_dice: 1.1655, decode.d7.loss_cls: 0.8133, decode.d7.loss_mask: 0.7465, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.8097, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.1745, loss: 29.6616 2022-04-29 18:00:09,427 - mmseg - INFO - Iter [42200/80000] lr: 6.784e-07, eta: 19:24:29, time: 1.824, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8139, decode.loss_mask: 0.7878, decode.loss_dice: 1.1998, decode.d0.loss_cls: 2.6020, decode.d0.loss_mask: 0.7971, decode.d0.loss_dice: 1.3818, decode.d1.loss_cls: 0.8989, decode.d1.loss_mask: 0.8246, decode.d1.loss_dice: 1.2972, decode.d2.loss_cls: 0.8483, decode.d2.loss_mask: 0.8047, decode.d2.loss_dice: 1.2470, decode.d3.loss_cls: 0.8321, decode.d3.loss_mask: 0.7946, decode.d3.loss_dice: 1.2184, decode.d4.loss_cls: 0.8225, decode.d4.loss_mask: 0.7967, decode.d4.loss_dice: 1.2111, decode.d5.loss_cls: 0.8197, decode.d5.loss_mask: 0.7924, decode.d5.loss_dice: 1.2140, decode.d6.loss_cls: 0.8089, decode.d6.loss_mask: 0.7969, decode.d6.loss_dice: 1.1972, decode.d7.loss_cls: 0.8127, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.1965, decode.d8.loss_cls: 0.8071, decode.d8.loss_mask: 0.7941, decode.d8.loss_dice: 1.2051, loss: 30.4153 2022-04-29 18:01:40,481 - mmseg - INFO - Iter [42250/80000] lr: 6.775e-07, eta: 19:22:56, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8053, decode.loss_mask: 0.7804, decode.loss_dice: 1.1856, decode.d0.loss_cls: 2.6269, decode.d0.loss_mask: 0.7796, decode.d0.loss_dice: 1.3472, decode.d1.loss_cls: 0.9044, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.2706, decode.d2.loss_cls: 0.8388, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.2253, decode.d3.loss_cls: 0.8188, decode.d3.loss_mask: 0.7852, decode.d3.loss_dice: 1.2022, decode.d4.loss_cls: 0.8178, decode.d4.loss_mask: 0.7861, decode.d4.loss_dice: 1.1961, decode.d5.loss_cls: 0.8124, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.1885, decode.d6.loss_cls: 0.8131, decode.d6.loss_mask: 0.7830, decode.d6.loss_dice: 1.1791, decode.d7.loss_cls: 0.8139, decode.d7.loss_mask: 0.7805, decode.d7.loss_dice: 1.1841, decode.d8.loss_cls: 0.8083, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.1846, loss: 30.0823 2022-04-29 18:03:11,112 - mmseg - INFO - Iter [42300/80000] lr: 6.766e-07, eta: 19:21:22, time: 1.812, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8435, decode.loss_mask: 0.7667, decode.loss_dice: 1.2134, decode.d0.loss_cls: 2.7514, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.4098, decode.d1.loss_cls: 0.9438, decode.d1.loss_mask: 0.7954, decode.d1.loss_dice: 1.3126, decode.d2.loss_cls: 0.8745, decode.d2.loss_mask: 0.7777, decode.d2.loss_dice: 1.2639, decode.d3.loss_cls: 0.8545, decode.d3.loss_mask: 0.7715, decode.d3.loss_dice: 1.2327, decode.d4.loss_cls: 0.8495, decode.d4.loss_mask: 0.7664, decode.d4.loss_dice: 1.2281, decode.d5.loss_cls: 0.8522, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.2255, decode.d6.loss_cls: 0.8425, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.2128, decode.d7.loss_cls: 0.8462, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.2206, decode.d8.loss_cls: 0.8486, decode.d8.loss_mask: 0.7599, decode.d8.loss_dice: 1.2159, loss: 30.7233 2022-04-29 18:04:40,070 - mmseg - INFO - Iter [42350/80000] lr: 6.757e-07, eta: 19:19:46, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8532, decode.loss_mask: 0.7566, decode.loss_dice: 1.2099, decode.d0.loss_cls: 2.6761, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.4102, decode.d1.loss_cls: 0.9507, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.3053, decode.d2.loss_cls: 0.8861, decode.d2.loss_mask: 0.7764, decode.d2.loss_dice: 1.2591, decode.d3.loss_cls: 0.8764, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 0.8627, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.2319, decode.d5.loss_cls: 0.8610, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.2141, decode.d6.loss_cls: 0.8578, decode.d6.loss_mask: 0.7565, decode.d6.loss_dice: 1.2115, decode.d7.loss_cls: 0.8535, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.2170, decode.d8.loss_cls: 0.8546, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.2090, loss: 30.6883 2022-04-29 18:06:07,997 - mmseg - INFO - Iter [42400/80000] lr: 6.748e-07, eta: 19:18:10, time: 1.759, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8509, decode.loss_mask: 0.7825, decode.loss_dice: 1.2345, decode.d0.loss_cls: 2.7239, decode.d0.loss_mask: 0.7848, decode.d0.loss_dice: 1.4190, decode.d1.loss_cls: 0.9385, decode.d1.loss_mask: 0.8112, decode.d1.loss_dice: 1.3240, decode.d2.loss_cls: 0.8800, decode.d2.loss_mask: 0.8000, decode.d2.loss_dice: 1.2789, decode.d3.loss_cls: 0.8665, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.2490, decode.d4.loss_cls: 0.8644, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.2480, decode.d5.loss_cls: 0.8607, decode.d5.loss_mask: 0.7879, decode.d5.loss_dice: 1.2417, decode.d6.loss_cls: 0.8535, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2293, decode.d7.loss_cls: 0.8456, decode.d7.loss_mask: 0.7790, decode.d7.loss_dice: 1.2346, decode.d8.loss_cls: 0.8510, decode.d8.loss_mask: 0.7803, decode.d8.loss_dice: 1.2325, loss: 31.1120 2022-04-29 18:07:37,116 - mmseg - INFO - Iter [42450/80000] lr: 6.739e-07, eta: 19:16:34, time: 1.782, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8248, decode.loss_mask: 0.7790, decode.loss_dice: 1.1888, decode.d0.loss_cls: 2.6759, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.3664, decode.d1.loss_cls: 0.9007, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2823, decode.d2.loss_cls: 0.8446, decode.d2.loss_mask: 0.7947, decode.d2.loss_dice: 1.2322, decode.d3.loss_cls: 0.8362, decode.d3.loss_mask: 0.7827, decode.d3.loss_dice: 1.2026, decode.d4.loss_cls: 0.8263, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.2075, decode.d5.loss_cls: 0.8329, decode.d5.loss_mask: 0.7793, decode.d5.loss_dice: 1.1946, decode.d6.loss_cls: 0.8228, decode.d6.loss_mask: 0.7777, decode.d6.loss_dice: 1.1893, decode.d7.loss_cls: 0.8210, decode.d7.loss_mask: 0.7744, decode.d7.loss_dice: 1.1909, decode.d8.loss_cls: 0.8197, decode.d8.loss_mask: 0.7761, decode.d8.loss_dice: 1.1929, loss: 30.2936 2022-04-29 18:09:05,494 - mmseg - INFO - Iter [42500/80000] lr: 6.730e-07, eta: 19:14:58, time: 1.767, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8383, decode.loss_mask: 0.8086, decode.loss_dice: 1.2277, decode.d0.loss_cls: 2.7236, decode.d0.loss_mask: 0.8013, decode.d0.loss_dice: 1.4057, decode.d1.loss_cls: 0.9375, decode.d1.loss_mask: 0.8262, decode.d1.loss_dice: 1.3225, decode.d2.loss_cls: 0.8784, decode.d2.loss_mask: 0.8185, decode.d2.loss_dice: 1.2603, decode.d3.loss_cls: 0.8534, decode.d3.loss_mask: 0.8152, decode.d3.loss_dice: 1.2316, decode.d4.loss_cls: 0.8461, decode.d4.loss_mask: 0.8151, decode.d4.loss_dice: 1.2344, decode.d5.loss_cls: 0.8436, decode.d5.loss_mask: 0.8099, decode.d5.loss_dice: 1.2339, decode.d6.loss_cls: 0.8360, decode.d6.loss_mask: 0.8101, decode.d6.loss_dice: 1.2272, decode.d7.loss_cls: 0.8357, decode.d7.loss_mask: 0.8065, decode.d7.loss_dice: 1.2274, decode.d8.loss_cls: 0.8389, decode.d8.loss_mask: 0.8070, decode.d8.loss_dice: 1.2263, loss: 31.1471 2022-04-29 18:10:33,746 - mmseg - INFO - Iter [42550/80000] lr: 6.721e-07, eta: 19:13:22, time: 1.766, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8399, decode.loss_mask: 0.7996, decode.loss_dice: 1.1964, decode.d0.loss_cls: 2.6583, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.3794, decode.d1.loss_cls: 0.9229, decode.d1.loss_mask: 0.8322, decode.d1.loss_dice: 1.2953, decode.d2.loss_cls: 0.8680, decode.d2.loss_mask: 0.8129, decode.d2.loss_dice: 1.2558, decode.d3.loss_cls: 0.8591, decode.d3.loss_mask: 0.8000, decode.d3.loss_dice: 1.2151, decode.d4.loss_cls: 0.8525, decode.d4.loss_mask: 0.8054, decode.d4.loss_dice: 1.2172, decode.d5.loss_cls: 0.8467, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.2110, decode.d6.loss_cls: 0.8400, decode.d6.loss_mask: 0.7974, decode.d6.loss_dice: 1.2057, decode.d7.loss_cls: 0.8340, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.1977, decode.d8.loss_cls: 0.8409, decode.d8.loss_mask: 0.7991, decode.d8.loss_dice: 1.1995, loss: 30.7713 2022-04-29 18:12:03,137 - mmseg - INFO - Iter [42600/80000] lr: 6.713e-07, eta: 19:11:47, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8276, decode.loss_mask: 0.8128, decode.loss_dice: 1.2209, decode.d0.loss_cls: 2.6537, decode.d0.loss_mask: 0.8034, decode.d0.loss_dice: 1.3670, decode.d1.loss_cls: 0.9072, decode.d1.loss_mask: 0.8420, decode.d1.loss_dice: 1.2972, decode.d2.loss_cls: 0.8549, decode.d2.loss_mask: 0.8294, decode.d2.loss_dice: 1.2506, decode.d3.loss_cls: 0.8402, decode.d3.loss_mask: 0.8189, decode.d3.loss_dice: 1.2252, decode.d4.loss_cls: 0.8381, decode.d4.loss_mask: 0.8142, decode.d4.loss_dice: 1.2238, decode.d5.loss_cls: 0.8277, decode.d5.loss_mask: 0.8188, decode.d5.loss_dice: 1.2279, decode.d6.loss_cls: 0.8271, decode.d6.loss_mask: 0.8082, decode.d6.loss_dice: 1.2132, decode.d7.loss_cls: 0.8307, decode.d7.loss_mask: 0.8090, decode.d7.loss_dice: 1.2118, decode.d8.loss_cls: 0.8257, decode.d8.loss_mask: 0.8118, decode.d8.loss_dice: 1.2155, loss: 30.8546 2022-04-29 18:13:32,071 - mmseg - INFO - Iter [42650/80000] lr: 6.704e-07, eta: 19:10:12, time: 1.779, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8228, decode.loss_mask: 0.7610, decode.loss_dice: 1.1802, decode.d0.loss_cls: 2.6122, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 0.9069, decode.d1.loss_mask: 0.7987, decode.d1.loss_dice: 1.2796, decode.d2.loss_cls: 0.8543, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.2244, decode.d3.loss_cls: 0.8408, decode.d3.loss_mask: 0.7684, decode.d3.loss_dice: 1.1985, decode.d4.loss_cls: 0.8417, decode.d4.loss_mask: 0.7689, decode.d4.loss_dice: 1.1910, decode.d5.loss_cls: 0.8270, decode.d5.loss_mask: 0.7654, decode.d5.loss_dice: 1.1883, decode.d6.loss_cls: 0.8281, decode.d6.loss_mask: 0.7624, decode.d6.loss_dice: 1.1912, decode.d7.loss_cls: 0.8308, decode.d7.loss_mask: 0.7594, decode.d7.loss_dice: 1.1844, decode.d8.loss_cls: 0.8232, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1888, loss: 30.0737 2022-04-29 18:15:00,827 - mmseg - INFO - Iter [42700/80000] lr: 6.695e-07, eta: 19:08:36, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8637, decode.loss_mask: 0.7959, decode.loss_dice: 1.2177, decode.d0.loss_cls: 2.6752, decode.d0.loss_mask: 0.8027, decode.d0.loss_dice: 1.4196, decode.d1.loss_cls: 0.9377, decode.d1.loss_mask: 0.8249, decode.d1.loss_dice: 1.3285, decode.d2.loss_cls: 0.8850, decode.d2.loss_mask: 0.8060, decode.d2.loss_dice: 1.2743, decode.d3.loss_cls: 0.8716, decode.d3.loss_mask: 0.7985, decode.d3.loss_dice: 1.2458, decode.d4.loss_cls: 0.8666, decode.d4.loss_mask: 0.7973, decode.d4.loss_dice: 1.2382, decode.d5.loss_cls: 0.8672, decode.d5.loss_mask: 0.7994, decode.d5.loss_dice: 1.2369, decode.d6.loss_cls: 0.8598, decode.d6.loss_mask: 0.7967, decode.d6.loss_dice: 1.2234, decode.d7.loss_cls: 0.8620, decode.d7.loss_mask: 0.8000, decode.d7.loss_dice: 1.2229, decode.d8.loss_cls: 0.8609, decode.d8.loss_mask: 0.7976, decode.d8.loss_dice: 1.2191, loss: 31.1950 2022-04-29 18:16:29,903 - mmseg - INFO - Iter [42750/80000] lr: 6.686e-07, eta: 19:07:01, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8124, decode.loss_mask: 0.7784, decode.loss_dice: 1.2144, decode.d0.loss_cls: 2.6422, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.3904, decode.d1.loss_cls: 0.8894, decode.d1.loss_mask: 0.8119, decode.d1.loss_dice: 1.3224, decode.d2.loss_cls: 0.8379, decode.d2.loss_mask: 0.7973, decode.d2.loss_dice: 1.2690, decode.d3.loss_cls: 0.8241, decode.d3.loss_mask: 0.7919, decode.d3.loss_dice: 1.2355, decode.d4.loss_cls: 0.8212, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.2447, decode.d5.loss_cls: 0.8167, decode.d5.loss_mask: 0.7834, decode.d5.loss_dice: 1.2320, decode.d6.loss_cls: 0.8207, decode.d6.loss_mask: 0.7755, decode.d6.loss_dice: 1.2173, decode.d7.loss_cls: 0.8121, decode.d7.loss_mask: 0.7769, decode.d7.loss_dice: 1.2218, decode.d8.loss_cls: 0.8123, decode.d8.loss_mask: 0.7774, decode.d8.loss_dice: 1.2202, loss: 30.5116 2022-04-29 18:17:59,192 - mmseg - INFO - Iter [42800/80000] lr: 6.677e-07, eta: 19:05:26, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8491, decode.loss_mask: 0.7391, decode.loss_dice: 1.2271, decode.d0.loss_cls: 2.7039, decode.d0.loss_mask: 0.7394, decode.d0.loss_dice: 1.4197, decode.d1.loss_cls: 0.9430, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.3293, decode.d2.loss_cls: 0.8760, decode.d2.loss_mask: 0.7603, decode.d2.loss_dice: 1.2739, decode.d3.loss_cls: 0.8616, decode.d3.loss_mask: 0.7440, decode.d3.loss_dice: 1.2497, decode.d4.loss_cls: 0.8553, decode.d4.loss_mask: 0.7460, decode.d4.loss_dice: 1.2484, decode.d5.loss_cls: 0.8594, decode.d5.loss_mask: 0.7431, decode.d5.loss_dice: 1.2394, decode.d6.loss_cls: 0.8555, decode.d6.loss_mask: 0.7415, decode.d6.loss_dice: 1.2311, decode.d7.loss_cls: 0.8523, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.2308, decode.d8.loss_cls: 0.8449, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.2284, loss: 30.6485 2022-04-29 18:19:28,096 - mmseg - INFO - Iter [42850/80000] lr: 6.668e-07, eta: 19:03:51, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8601, decode.loss_mask: 0.7830, decode.loss_dice: 1.2171, decode.d0.loss_cls: 2.7073, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.4025, decode.d1.loss_cls: 0.9444, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.3195, decode.d2.loss_cls: 0.8834, decode.d2.loss_mask: 0.7963, decode.d2.loss_dice: 1.2637, decode.d3.loss_cls: 0.8673, decode.d3.loss_mask: 0.7844, decode.d3.loss_dice: 1.2318, decode.d4.loss_cls: 0.8686, decode.d4.loss_mask: 0.7881, decode.d4.loss_dice: 1.2316, decode.d5.loss_cls: 0.8608, decode.d5.loss_mask: 0.7858, decode.d5.loss_dice: 1.2383, decode.d6.loss_cls: 0.8580, decode.d6.loss_mask: 0.7866, decode.d6.loss_dice: 1.2240, decode.d7.loss_cls: 0.8629, decode.d7.loss_mask: 0.7804, decode.d7.loss_dice: 1.2241, decode.d8.loss_cls: 0.8616, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.2260, loss: 31.0335 2022-04-29 18:20:57,382 - mmseg - INFO - Iter [42900/80000] lr: 6.659e-07, eta: 19:02:16, time: 1.788, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8466, decode.loss_mask: 0.7737, decode.loss_dice: 1.2104, decode.d0.loss_cls: 2.6752, decode.d0.loss_mask: 0.7737, decode.d0.loss_dice: 1.3892, decode.d1.loss_cls: 0.9318, decode.d1.loss_mask: 0.7993, decode.d1.loss_dice: 1.2990, decode.d2.loss_cls: 0.8748, decode.d2.loss_mask: 0.7750, decode.d2.loss_dice: 1.2409, decode.d3.loss_cls: 0.8608, decode.d3.loss_mask: 0.7760, decode.d3.loss_dice: 1.2229, decode.d4.loss_cls: 0.8521, decode.d4.loss_mask: 0.7754, decode.d4.loss_dice: 1.2172, decode.d5.loss_cls: 0.8557, decode.d5.loss_mask: 0.7691, decode.d5.loss_dice: 1.2132, decode.d6.loss_cls: 0.8479, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.2076, decode.d7.loss_cls: 0.8495, decode.d7.loss_mask: 0.7713, decode.d7.loss_dice: 1.2080, decode.d8.loss_cls: 0.8428, decode.d8.loss_mask: 0.7661, decode.d8.loss_dice: 1.2074, loss: 30.6016 2022-04-29 18:22:26,815 - mmseg - INFO - Iter [42950/80000] lr: 6.650e-07, eta: 19:00:41, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8542, decode.loss_mask: 0.7611, decode.loss_dice: 1.2068, decode.d0.loss_cls: 2.7388, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3943, decode.d1.loss_cls: 0.9469, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.3045, decode.d2.loss_cls: 0.8912, decode.d2.loss_mask: 0.7812, decode.d2.loss_dice: 1.2491, decode.d3.loss_cls: 0.8730, decode.d3.loss_mask: 0.7699, decode.d3.loss_dice: 1.2247, decode.d4.loss_cls: 0.8666, decode.d4.loss_mask: 0.7657, decode.d4.loss_dice: 1.2229, decode.d5.loss_cls: 0.8613, decode.d5.loss_mask: 0.7652, decode.d5.loss_dice: 1.2135, decode.d6.loss_cls: 0.8565, decode.d6.loss_mask: 0.7611, decode.d6.loss_dice: 1.2061, decode.d7.loss_cls: 0.8568, decode.d7.loss_mask: 0.7579, decode.d7.loss_dice: 1.2064, decode.d8.loss_cls: 0.8551, decode.d8.loss_mask: 0.7626, decode.d8.loss_dice: 1.2003, loss: 30.7154 2022-04-29 18:23:55,916 - mmseg - INFO - Saving checkpoint at 43000 iterations 2022-04-29 18:24:13,561 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 18:24:13,565 - mmseg - INFO - Iter [43000/80000] lr: 6.641e-07, eta: 18:59:21, time: 2.136, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8451, decode.loss_mask: 0.7714, decode.loss_dice: 1.2197, decode.d0.loss_cls: 2.7260, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.4015, decode.d1.loss_cls: 0.9432, decode.d1.loss_mask: 0.7975, decode.d1.loss_dice: 1.3247, decode.d2.loss_cls: 0.8834, decode.d2.loss_mask: 0.7830, decode.d2.loss_dice: 1.2657, decode.d3.loss_cls: 0.8708, decode.d3.loss_mask: 0.7709, decode.d3.loss_dice: 1.2339, decode.d4.loss_cls: 0.8680, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.2409, decode.d5.loss_cls: 0.8605, decode.d5.loss_mask: 0.7740, decode.d5.loss_dice: 1.2317, decode.d6.loss_cls: 0.8498, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.2256, decode.d7.loss_cls: 0.8502, decode.d7.loss_mask: 0.7693, decode.d7.loss_dice: 1.2259, decode.d8.loss_cls: 0.8508, decode.d8.loss_mask: 0.7691, decode.d8.loss_dice: 1.2236, loss: 30.8914 2022-04-29 18:25:43,303 - mmseg - INFO - Iter [43050/80000] lr: 6.632e-07, eta: 18:57:46, time: 1.795, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8062, decode.loss_mask: 0.8010, decode.loss_dice: 1.1994, decode.d0.loss_cls: 2.6003, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.3726, decode.d1.loss_cls: 0.8990, decode.d1.loss_mask: 0.8228, decode.d1.loss_dice: 1.2789, decode.d2.loss_cls: 0.8387, decode.d2.loss_mask: 0.8129, decode.d2.loss_dice: 1.2341, decode.d3.loss_cls: 0.8169, decode.d3.loss_mask: 0.8106, decode.d3.loss_dice: 1.2154, decode.d4.loss_cls: 0.8176, decode.d4.loss_mask: 0.8067, decode.d4.loss_dice: 1.2170, decode.d5.loss_cls: 0.8141, decode.d5.loss_mask: 0.8019, decode.d5.loss_dice: 1.2037, decode.d6.loss_cls: 0.8058, decode.d6.loss_mask: 0.7986, decode.d6.loss_dice: 1.1938, decode.d7.loss_cls: 0.8139, decode.d7.loss_mask: 0.8003, decode.d7.loss_dice: 1.1986, decode.d8.loss_cls: 0.8095, decode.d8.loss_mask: 0.7997, decode.d8.loss_dice: 1.1961, loss: 30.3768 2022-04-29 18:27:11,935 - mmseg - INFO - Iter [43100/80000] lr: 6.623e-07, eta: 18:56:10, time: 1.771, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8016, decode.loss_mask: 0.7377, decode.loss_dice: 1.1556, decode.d0.loss_cls: 2.6251, decode.d0.loss_mask: 0.7492, decode.d0.loss_dice: 1.3304, decode.d1.loss_cls: 0.8856, decode.d1.loss_mask: 0.7761, decode.d1.loss_dice: 1.2531, decode.d2.loss_cls: 0.8290, decode.d2.loss_mask: 0.7573, decode.d2.loss_dice: 1.2017, decode.d3.loss_cls: 0.8035, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.8034, decode.d4.loss_mask: 0.7492, decode.d4.loss_dice: 1.1648, decode.d5.loss_cls: 0.8090, decode.d5.loss_mask: 0.7423, decode.d5.loss_dice: 1.1558, decode.d6.loss_cls: 0.7978, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7975, decode.d7.loss_mask: 0.7419, decode.d7.loss_dice: 1.1513, decode.d8.loss_cls: 0.7923, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.1470, loss: 29.3269 2022-04-29 18:28:40,871 - mmseg - INFO - Iter [43150/80000] lr: 6.614e-07, eta: 18:54:35, time: 1.780, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8127, decode.loss_mask: 0.7834, decode.loss_dice: 1.1838, decode.d0.loss_cls: 2.5880, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.3636, decode.d1.loss_cls: 0.8903, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.2861, decode.d2.loss_cls: 0.8406, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.2298, decode.d3.loss_cls: 0.8268, decode.d3.loss_mask: 0.7908, decode.d3.loss_dice: 1.2049, decode.d4.loss_cls: 0.8162, decode.d4.loss_mask: 0.7888, decode.d4.loss_dice: 1.2049, decode.d5.loss_cls: 0.8127, decode.d5.loss_mask: 0.7896, decode.d5.loss_dice: 1.1958, decode.d6.loss_cls: 0.8133, decode.d6.loss_mask: 0.7848, decode.d6.loss_dice: 1.1824, decode.d7.loss_cls: 0.8123, decode.d7.loss_mask: 0.7799, decode.d7.loss_dice: 1.1856, decode.d8.loss_cls: 0.8134, decode.d8.loss_mask: 0.7802, decode.d8.loss_dice: 1.1824, loss: 30.1474 2022-04-29 18:30:10,308 - mmseg - INFO - Iter [43200/80000] lr: 6.605e-07, eta: 18:53:00, time: 1.788, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8131, decode.loss_mask: 0.7773, decode.loss_dice: 1.1881, decode.d0.loss_cls: 2.6455, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.3574, decode.d1.loss_cls: 0.8984, decode.d1.loss_mask: 0.8021, decode.d1.loss_dice: 1.2759, decode.d2.loss_cls: 0.8407, decode.d2.loss_mask: 0.7892, decode.d2.loss_dice: 1.2169, decode.d3.loss_cls: 0.8303, decode.d3.loss_mask: 0.7838, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.8113, decode.d4.loss_mask: 0.7847, decode.d4.loss_dice: 1.1997, decode.d5.loss_cls: 0.8163, decode.d5.loss_mask: 0.7796, decode.d5.loss_dice: 1.1919, decode.d6.loss_cls: 0.8188, decode.d6.loss_mask: 0.7789, decode.d6.loss_dice: 1.1809, decode.d7.loss_cls: 0.8023, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.1880, decode.d8.loss_cls: 0.8042, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.1890, loss: 30.0936 2022-04-29 18:31:39,110 - mmseg - INFO - Iter [43250/80000] lr: 6.596e-07, eta: 18:51:25, time: 1.776, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8084, decode.loss_mask: 0.7831, decode.loss_dice: 1.2005, decode.d0.loss_cls: 2.6383, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.3817, decode.d1.loss_cls: 0.9094, decode.d1.loss_mask: 0.8174, decode.d1.loss_dice: 1.2947, decode.d2.loss_cls: 0.8522, decode.d2.loss_mask: 0.8015, decode.d2.loss_dice: 1.2381, decode.d3.loss_cls: 0.8270, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.2172, decode.d4.loss_cls: 0.8255, decode.d4.loss_mask: 0.7906, decode.d4.loss_dice: 1.2171, decode.d5.loss_cls: 0.8218, decode.d5.loss_mask: 0.7898, decode.d5.loss_dice: 1.2068, decode.d6.loss_cls: 0.8125, decode.d6.loss_mask: 0.7892, decode.d6.loss_dice: 1.2006, decode.d7.loss_cls: 0.8167, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.1984, decode.d8.loss_cls: 0.8092, decode.d8.loss_mask: 0.7844, decode.d8.loss_dice: 1.1959, loss: 30.3893 2022-04-29 18:33:10,660 - mmseg - INFO - Iter [43300/80000] lr: 6.587e-07, eta: 18:49:52, time: 1.831, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8685, decode.loss_mask: 0.7550, decode.loss_dice: 1.2255, decode.d0.loss_cls: 2.8080, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.4199, decode.d1.loss_cls: 0.9611, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.3341, decode.d2.loss_cls: 0.9007, decode.d2.loss_mask: 0.7691, decode.d2.loss_dice: 1.2781, decode.d3.loss_cls: 0.8875, decode.d3.loss_mask: 0.7541, decode.d3.loss_dice: 1.2458, decode.d4.loss_cls: 0.8767, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.2446, decode.d5.loss_cls: 0.8720, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.2387, decode.d6.loss_cls: 0.8692, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.2277, decode.d7.loss_cls: 0.8706, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.2347, decode.d8.loss_cls: 0.8694, decode.d8.loss_mask: 0.7553, decode.d8.loss_dice: 1.2312, loss: 31.0571 2022-04-29 18:34:40,417 - mmseg - INFO - Iter [43350/80000] lr: 6.578e-07, eta: 18:48:17, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8829, decode.loss_mask: 0.7849, decode.loss_dice: 1.2053, decode.d0.loss_cls: 2.7038, decode.d0.loss_mask: 0.7977, decode.d0.loss_dice: 1.3988, decode.d1.loss_cls: 0.9644, decode.d1.loss_mask: 0.8205, decode.d1.loss_dice: 1.3015, decode.d2.loss_cls: 0.9120, decode.d2.loss_mask: 0.8019, decode.d2.loss_dice: 1.2537, decode.d3.loss_cls: 0.8963, decode.d3.loss_mask: 0.7967, decode.d3.loss_dice: 1.2201, decode.d4.loss_cls: 0.8899, decode.d4.loss_mask: 0.7978, decode.d4.loss_dice: 1.2240, decode.d5.loss_cls: 0.8862, decode.d5.loss_mask: 0.7934, decode.d5.loss_dice: 1.2070, decode.d6.loss_cls: 0.8853, decode.d6.loss_mask: 0.7891, decode.d6.loss_dice: 1.1998, decode.d7.loss_cls: 0.8852, decode.d7.loss_mask: 0.7886, decode.d7.loss_dice: 1.1987, decode.d8.loss_cls: 0.8775, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.2027, loss: 31.1557 2022-04-29 18:36:10,908 - mmseg - INFO - Iter [43400/80000] lr: 6.569e-07, eta: 18:46:43, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7945, decode.loss_mask: 0.8120, decode.loss_dice: 1.1908, decode.d0.loss_cls: 2.5899, decode.d0.loss_mask: 0.8117, decode.d0.loss_dice: 1.3673, decode.d1.loss_cls: 0.8767, decode.d1.loss_mask: 0.8424, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8129, decode.d2.loss_mask: 0.8320, decode.d2.loss_dice: 1.2350, decode.d3.loss_cls: 0.8030, decode.d3.loss_mask: 0.8162, decode.d3.loss_dice: 1.2031, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2119, decode.d5.loss_cls: 0.7958, decode.d5.loss_mask: 0.8134, decode.d5.loss_dice: 1.2033, decode.d6.loss_cls: 0.7874, decode.d6.loss_mask: 0.8169, decode.d6.loss_dice: 1.1962, decode.d7.loss_cls: 0.7953, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.1948, decode.d8.loss_cls: 0.7868, decode.d8.loss_mask: 0.8180, decode.d8.loss_dice: 1.1919, loss: 30.3080 2022-04-29 18:37:41,050 - mmseg - INFO - Iter [43450/80000] lr: 6.560e-07, eta: 18:45:09, time: 1.805, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8379, decode.loss_mask: 0.7655, decode.loss_dice: 1.1888, decode.d0.loss_cls: 2.6778, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.3738, decode.d1.loss_cls: 0.9335, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.2807, decode.d2.loss_cls: 0.8697, decode.d2.loss_mask: 0.7797, decode.d2.loss_dice: 1.2319, decode.d3.loss_cls: 0.8524, decode.d3.loss_mask: 0.7727, decode.d3.loss_dice: 1.2004, decode.d4.loss_cls: 0.8472, decode.d4.loss_mask: 0.7697, decode.d4.loss_dice: 1.2088, decode.d5.loss_cls: 0.8422, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.2035, decode.d6.loss_cls: 0.8372, decode.d6.loss_mask: 0.7727, decode.d6.loss_dice: 1.1890, decode.d7.loss_cls: 0.8344, decode.d7.loss_mask: 0.7691, decode.d7.loss_dice: 1.1944, decode.d8.loss_cls: 0.8375, decode.d8.loss_mask: 0.7652, decode.d8.loss_dice: 1.1936, loss: 30.3704 2022-04-29 18:39:11,750 - mmseg - INFO - Iter [43500/80000] lr: 6.551e-07, eta: 18:43:35, time: 1.814, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8485, decode.loss_mask: 0.7707, decode.loss_dice: 1.2196, decode.d0.loss_cls: 2.7690, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.4087, decode.d1.loss_cls: 0.9526, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.3263, decode.d2.loss_cls: 0.8857, decode.d2.loss_mask: 0.7763, decode.d2.loss_dice: 1.2723, decode.d3.loss_cls: 0.8669, decode.d3.loss_mask: 0.7718, decode.d3.loss_dice: 1.2482, decode.d4.loss_cls: 0.8609, decode.d4.loss_mask: 0.7765, decode.d4.loss_dice: 1.2423, decode.d5.loss_cls: 0.8540, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.2331, decode.d6.loss_cls: 0.8511, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.2241, decode.d7.loss_cls: 0.8515, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.2341, decode.d8.loss_cls: 0.8466, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.2236, loss: 30.9575 2022-04-29 18:40:41,168 - mmseg - INFO - Iter [43550/80000] lr: 6.542e-07, eta: 18:42:01, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8820, decode.loss_mask: 0.7978, decode.loss_dice: 1.2118, decode.d0.loss_cls: 2.7013, decode.d0.loss_mask: 0.7921, decode.d0.loss_dice: 1.3962, decode.d1.loss_cls: 0.9615, decode.d1.loss_mask: 0.8260, decode.d1.loss_dice: 1.3157, decode.d2.loss_cls: 0.9074, decode.d2.loss_mask: 0.8146, decode.d2.loss_dice: 1.2616, decode.d3.loss_cls: 0.8943, decode.d3.loss_mask: 0.8045, decode.d3.loss_dice: 1.2351, decode.d4.loss_cls: 0.8850, decode.d4.loss_mask: 0.7988, decode.d4.loss_dice: 1.2300, decode.d5.loss_cls: 0.8863, decode.d5.loss_mask: 0.8021, decode.d5.loss_dice: 1.2218, decode.d6.loss_cls: 0.8755, decode.d6.loss_mask: 0.7970, decode.d6.loss_dice: 1.2166, decode.d7.loss_cls: 0.8831, decode.d7.loss_mask: 0.7954, decode.d7.loss_dice: 1.2247, decode.d8.loss_cls: 0.8761, decode.d8.loss_mask: 0.7979, decode.d8.loss_dice: 1.2182, loss: 31.3102 2022-04-29 18:42:10,847 - mmseg - INFO - Iter [43600/80000] lr: 6.533e-07, eta: 18:40:26, time: 1.795, data_time: 0.018, memory: 64979, decode.loss_cls: 0.8227, decode.loss_mask: 0.7881, decode.loss_dice: 1.2044, decode.d0.loss_cls: 2.6741, decode.d0.loss_mask: 0.7806, decode.d0.loss_dice: 1.3902, decode.d1.loss_cls: 0.9121, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2968, decode.d2.loss_cls: 0.8528, decode.d2.loss_mask: 0.7986, decode.d2.loss_dice: 1.2460, decode.d3.loss_cls: 0.8296, decode.d3.loss_mask: 0.7961, decode.d3.loss_dice: 1.2185, decode.d4.loss_cls: 0.8306, decode.d4.loss_mask: 0.7915, decode.d4.loss_dice: 1.2229, decode.d5.loss_cls: 0.8244, decode.d5.loss_mask: 0.7929, decode.d5.loss_dice: 1.2214, decode.d6.loss_cls: 0.8210, decode.d6.loss_mask: 0.7854, decode.d6.loss_dice: 1.2087, decode.d7.loss_cls: 0.8176, decode.d7.loss_mask: 0.7845, decode.d7.loss_dice: 1.2086, decode.d8.loss_cls: 0.8210, decode.d8.loss_mask: 0.7808, decode.d8.loss_dice: 1.2028, loss: 30.5279 2022-04-29 18:43:39,707 - mmseg - INFO - Iter [43650/80000] lr: 6.524e-07, eta: 18:38:51, time: 1.777, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8122, decode.loss_mask: 0.7575, decode.loss_dice: 1.1829, decode.d0.loss_cls: 2.6035, decode.d0.loss_mask: 0.7682, decode.d0.loss_dice: 1.3549, decode.d1.loss_cls: 0.8924, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2730, decode.d2.loss_cls: 0.8388, decode.d2.loss_mask: 0.7754, decode.d2.loss_dice: 1.2162, decode.d3.loss_cls: 0.8228, decode.d3.loss_mask: 0.7693, decode.d3.loss_dice: 1.2000, decode.d4.loss_cls: 0.8135, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.2010, decode.d5.loss_cls: 0.8151, decode.d5.loss_mask: 0.7669, decode.d5.loss_dice: 1.2004, decode.d6.loss_cls: 0.8095, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.1885, decode.d7.loss_cls: 0.8089, decode.d7.loss_mask: 0.7637, decode.d7.loss_dice: 1.1830, decode.d8.loss_cls: 0.8113, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.1878, loss: 29.9000 2022-04-29 18:45:09,077 - mmseg - INFO - Iter [43700/80000] lr: 6.515e-07, eta: 18:37:16, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8641, decode.loss_mask: 0.7579, decode.loss_dice: 1.2166, decode.d0.loss_cls: 2.7037, decode.d0.loss_mask: 0.7653, decode.d0.loss_dice: 1.4034, decode.d1.loss_cls: 0.9543, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.3170, decode.d2.loss_cls: 0.8926, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.2602, decode.d3.loss_cls: 0.8765, decode.d3.loss_mask: 0.7660, decode.d3.loss_dice: 1.2382, decode.d4.loss_cls: 0.8742, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.2223, decode.d5.loss_cls: 0.8748, decode.d5.loss_mask: 0.7601, decode.d5.loss_dice: 1.2255, decode.d6.loss_cls: 0.8595, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.2144, decode.d7.loss_cls: 0.8609, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.2100, decode.d8.loss_cls: 0.8629, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.2162, loss: 30.8121 2022-04-29 18:46:38,295 - mmseg - INFO - Iter [43750/80000] lr: 6.506e-07, eta: 18:35:41, time: 1.788, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7888, decode.loss_mask: 0.7709, decode.loss_dice: 1.1699, decode.d0.loss_cls: 2.6211, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.3459, decode.d1.loss_cls: 0.8661, decode.d1.loss_mask: 0.8026, decode.d1.loss_dice: 1.2647, decode.d2.loss_cls: 0.8093, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.2134, decode.d3.loss_cls: 0.8012, decode.d3.loss_mask: 0.7766, decode.d3.loss_dice: 1.1834, decode.d4.loss_cls: 0.7939, decode.d4.loss_mask: 0.7803, decode.d4.loss_dice: 1.1841, decode.d5.loss_cls: 0.7917, decode.d5.loss_mask: 0.7780, decode.d5.loss_dice: 1.1842, decode.d6.loss_cls: 0.7920, decode.d6.loss_mask: 0.7695, decode.d6.loss_dice: 1.1636, decode.d7.loss_cls: 0.7910, decode.d7.loss_mask: 0.7729, decode.d7.loss_dice: 1.1661, decode.d8.loss_cls: 0.7952, decode.d8.loss_mask: 0.7701, decode.d8.loss_dice: 1.1707, loss: 29.6776 2022-04-29 18:48:07,501 - mmseg - INFO - Iter [43800/80000] lr: 6.497e-07, eta: 18:34:06, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8176, decode.loss_mask: 0.7660, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5992, decode.d0.loss_mask: 0.7793, decode.d0.loss_dice: 1.3554, decode.d1.loss_cls: 0.8967, decode.d1.loss_mask: 0.8068, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8441, decode.d2.loss_mask: 0.7795, decode.d2.loss_dice: 1.2294, decode.d3.loss_cls: 0.8291, decode.d3.loss_mask: 0.7713, decode.d3.loss_dice: 1.2008, decode.d4.loss_cls: 0.8283, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 0.8204, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.1961, decode.d6.loss_cls: 0.8179, decode.d6.loss_mask: 0.7671, decode.d6.loss_dice: 1.1800, decode.d7.loss_cls: 0.8087, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.1906, decode.d8.loss_cls: 0.8095, decode.d8.loss_mask: 0.7727, decode.d8.loss_dice: 1.1797, loss: 30.0208 2022-04-29 18:49:36,870 - mmseg - INFO - Iter [43850/80000] lr: 6.488e-07, eta: 18:32:31, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8503, decode.loss_mask: 0.7858, decode.loss_dice: 1.2117, decode.d0.loss_cls: 2.6500, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.3964, decode.d1.loss_cls: 0.9327, decode.d1.loss_mask: 0.8202, decode.d1.loss_dice: 1.3052, decode.d2.loss_cls: 0.8820, decode.d2.loss_mask: 0.8015, decode.d2.loss_dice: 1.2553, decode.d3.loss_cls: 0.8673, decode.d3.loss_mask: 0.7934, decode.d3.loss_dice: 1.2266, decode.d4.loss_cls: 0.8612, decode.d4.loss_mask: 0.7922, decode.d4.loss_dice: 1.2291, decode.d5.loss_cls: 0.8564, decode.d5.loss_mask: 0.7893, decode.d5.loss_dice: 1.2265, decode.d6.loss_cls: 0.8575, decode.d6.loss_mask: 0.7801, decode.d6.loss_dice: 1.2140, decode.d7.loss_cls: 0.8580, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.2143, decode.d8.loss_cls: 0.8494, decode.d8.loss_mask: 0.7875, decode.d8.loss_dice: 1.2123, loss: 30.8831 2022-04-29 18:51:06,441 - mmseg - INFO - Iter [43900/80000] lr: 6.479e-07, eta: 18:30:57, time: 1.792, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7861, decode.loss_mask: 0.7632, decode.loss_dice: 1.2068, decode.d0.loss_cls: 2.6080, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3844, decode.d1.loss_cls: 0.8750, decode.d1.loss_mask: 0.8016, decode.d1.loss_dice: 1.3048, decode.d2.loss_cls: 0.8165, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.2577, decode.d3.loss_cls: 0.8035, decode.d3.loss_mask: 0.7766, decode.d3.loss_dice: 1.2314, decode.d4.loss_cls: 0.7937, decode.d4.loss_mask: 0.7740, decode.d4.loss_dice: 1.2248, decode.d5.loss_cls: 0.7944, decode.d5.loss_mask: 0.7683, decode.d5.loss_dice: 1.2172, decode.d6.loss_cls: 0.7867, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.2090, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.2101, decode.d8.loss_cls: 0.7832, decode.d8.loss_mask: 0.7644, decode.d8.loss_dice: 1.2086, loss: 30.0183 2022-04-29 18:52:34,825 - mmseg - INFO - Iter [43950/80000] lr: 6.470e-07, eta: 18:29:21, time: 1.768, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8440, decode.loss_mask: 0.8041, decode.loss_dice: 1.2217, decode.d0.loss_cls: 2.7024, decode.d0.loss_mask: 0.8043, decode.d0.loss_dice: 1.3983, decode.d1.loss_cls: 0.9413, decode.d1.loss_mask: 0.8308, decode.d1.loss_dice: 1.3172, decode.d2.loss_cls: 0.8735, decode.d2.loss_mask: 0.8192, decode.d2.loss_dice: 1.2587, decode.d3.loss_cls: 0.8574, decode.d3.loss_mask: 0.8123, decode.d3.loss_dice: 1.2309, decode.d4.loss_cls: 0.8420, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.2336, decode.d5.loss_cls: 0.8502, decode.d5.loss_mask: 0.8047, decode.d5.loss_dice: 1.2273, decode.d6.loss_cls: 0.8438, decode.d6.loss_mask: 0.8035, decode.d6.loss_dice: 1.2159, decode.d7.loss_cls: 0.8433, decode.d7.loss_mask: 0.8027, decode.d7.loss_dice: 1.2149, decode.d8.loss_cls: 0.8395, decode.d8.loss_mask: 0.8040, decode.d8.loss_dice: 1.2219, loss: 31.0767 2022-04-29 18:54:03,039 - mmseg - INFO - Saving checkpoint at 44000 iterations 2022-04-29 18:54:20,982 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 18:54:20,992 - mmseg - INFO - Iter [44000/80000] lr: 6.461e-07, eta: 18:28:00, time: 2.122, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8327, decode.loss_mask: 0.7756, decode.loss_dice: 1.2018, decode.d0.loss_cls: 2.6299, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3777, decode.d1.loss_cls: 0.9081, decode.d1.loss_mask: 0.8071, decode.d1.loss_dice: 1.2907, decode.d2.loss_cls: 0.8598, decode.d2.loss_mask: 0.7902, decode.d2.loss_dice: 1.2397, decode.d3.loss_cls: 0.8430, decode.d3.loss_mask: 0.7811, decode.d3.loss_dice: 1.2224, decode.d4.loss_cls: 0.8336, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.2250, decode.d5.loss_cls: 0.8390, decode.d5.loss_mask: 0.7804, decode.d5.loss_dice: 1.2135, decode.d6.loss_cls: 0.8271, decode.d6.loss_mask: 0.7812, decode.d6.loss_dice: 1.2011, decode.d7.loss_cls: 0.8304, decode.d7.loss_mask: 0.7747, decode.d7.loss_dice: 1.2045, decode.d8.loss_cls: 0.8292, decode.d8.loss_mask: 0.7755, decode.d8.loss_dice: 1.2033, loss: 30.4338 2022-04-29 18:55:51,014 - mmseg - INFO - Iter [44050/80000] lr: 6.452e-07, eta: 18:26:26, time: 1.801, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8142, decode.loss_mask: 0.7745, decode.loss_dice: 1.1826, decode.d0.loss_cls: 2.6195, decode.d0.loss_mask: 0.7814, decode.d0.loss_dice: 1.3616, decode.d1.loss_cls: 0.9047, decode.d1.loss_mask: 0.8028, decode.d1.loss_dice: 1.2700, decode.d2.loss_cls: 0.8449, decode.d2.loss_mask: 0.7900, decode.d2.loss_dice: 1.2303, decode.d3.loss_cls: 0.8203, decode.d3.loss_mask: 0.7842, decode.d3.loss_dice: 1.2019, decode.d4.loss_cls: 0.8138, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.1953, decode.d5.loss_cls: 0.8170, decode.d5.loss_mask: 0.7779, decode.d5.loss_dice: 1.1865, decode.d6.loss_cls: 0.8130, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.1781, decode.d7.loss_cls: 0.8171, decode.d7.loss_mask: 0.7748, decode.d7.loss_dice: 1.1787, decode.d8.loss_cls: 0.8155, decode.d8.loss_mask: 0.7740, decode.d8.loss_dice: 1.1816, loss: 30.0651 2022-04-29 18:57:20,815 - mmseg - INFO - Iter [44100/80000] lr: 6.443e-07, eta: 18:24:52, time: 1.796, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8277, decode.loss_mask: 0.7787, decode.loss_dice: 1.2055, decode.d0.loss_cls: 2.6824, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3962, decode.d1.loss_cls: 0.9113, decode.d1.loss_mask: 0.8130, decode.d1.loss_dice: 1.3085, decode.d2.loss_cls: 0.8573, decode.d2.loss_mask: 0.7974, decode.d2.loss_dice: 1.2475, decode.d3.loss_cls: 0.8410, decode.d3.loss_mask: 0.7904, decode.d3.loss_dice: 1.2231, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.7899, decode.d4.loss_dice: 1.2265, decode.d5.loss_cls: 0.8307, decode.d5.loss_mask: 0.7863, decode.d5.loss_dice: 1.2174, decode.d6.loss_cls: 0.8248, decode.d6.loss_mask: 0.7859, decode.d6.loss_dice: 1.2094, decode.d7.loss_cls: 0.8271, decode.d7.loss_mask: 0.7816, decode.d7.loss_dice: 1.2073, decode.d8.loss_cls: 0.8266, decode.d8.loss_mask: 0.7783, decode.d8.loss_dice: 1.2059, loss: 30.5944 2022-04-29 18:58:48,896 - mmseg - INFO - Iter [44150/80000] lr: 6.434e-07, eta: 18:23:16, time: 1.762, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8221, decode.loss_mask: 0.7898, decode.loss_dice: 1.1716, decode.d0.loss_cls: 2.6418, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.3490, decode.d1.loss_cls: 0.9086, decode.d1.loss_mask: 0.8193, decode.d1.loss_dice: 1.2652, decode.d2.loss_cls: 0.8511, decode.d2.loss_mask: 0.8070, decode.d2.loss_dice: 1.2111, decode.d3.loss_cls: 0.8338, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.1858, decode.d4.loss_cls: 0.8260, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.1860, decode.d5.loss_cls: 0.8198, decode.d5.loss_mask: 0.8030, decode.d5.loss_dice: 1.1793, decode.d6.loss_cls: 0.8169, decode.d6.loss_mask: 0.7948, decode.d6.loss_dice: 1.1705, decode.d7.loss_cls: 0.8191, decode.d7.loss_mask: 0.7946, decode.d7.loss_dice: 1.1727, decode.d8.loss_cls: 0.8140, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.1736, loss: 30.2044 2022-04-29 19:00:17,919 - mmseg - INFO - Iter [44200/80000] lr: 6.425e-07, eta: 18:21:41, time: 1.781, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7884, decode.loss_mask: 0.7832, decode.loss_dice: 1.1870, decode.d0.loss_cls: 2.5879, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3533, decode.d1.loss_cls: 0.8831, decode.d1.loss_mask: 0.8117, decode.d1.loss_dice: 1.2792, decode.d2.loss_cls: 0.8171, decode.d2.loss_mask: 0.7992, decode.d2.loss_dice: 1.2292, decode.d3.loss_cls: 0.8014, decode.d3.loss_mask: 0.7979, decode.d3.loss_dice: 1.2070, decode.d4.loss_cls: 0.7992, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.2033, decode.d5.loss_cls: 0.7991, decode.d5.loss_mask: 0.7847, decode.d5.loss_dice: 1.1935, decode.d6.loss_cls: 0.7935, decode.d6.loss_mask: 0.7802, decode.d6.loss_dice: 1.1938, decode.d7.loss_cls: 0.7975, decode.d7.loss_mask: 0.7783, decode.d7.loss_dice: 1.1928, decode.d8.loss_cls: 0.7920, decode.d8.loss_mask: 0.7822, decode.d8.loss_dice: 1.1912, loss: 29.9796 2022-04-29 19:01:47,776 - mmseg - INFO - Iter [44250/80000] lr: 6.416e-07, eta: 18:20:07, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8267, decode.loss_mask: 0.7622, decode.loss_dice: 1.1888, decode.d0.loss_cls: 2.6554, decode.d0.loss_mask: 0.7706, decode.d0.loss_dice: 1.3726, decode.d1.loss_cls: 0.9223, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.2812, decode.d2.loss_cls: 0.8530, decode.d2.loss_mask: 0.7743, decode.d2.loss_dice: 1.2238, decode.d3.loss_cls: 0.8402, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.2003, decode.d4.loss_cls: 0.8367, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.1974, decode.d5.loss_cls: 0.8303, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.1984, decode.d6.loss_cls: 0.8265, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 0.8310, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1858, decode.d8.loss_cls: 0.8265, decode.d8.loss_mask: 0.7614, decode.d8.loss_dice: 1.1889, loss: 30.1493 2022-04-29 19:03:16,007 - mmseg - INFO - Iter [44300/80000] lr: 6.407e-07, eta: 18:18:31, time: 1.764, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8305, decode.loss_mask: 0.7743, decode.loss_dice: 1.2271, decode.d0.loss_cls: 2.6896, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.3973, decode.d1.loss_cls: 0.9115, decode.d1.loss_mask: 0.8069, decode.d1.loss_dice: 1.3247, decode.d2.loss_cls: 0.8612, decode.d2.loss_mask: 0.7910, decode.d2.loss_dice: 1.2671, decode.d3.loss_cls: 0.8402, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.2489, decode.d4.loss_cls: 0.8332, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.2401, decode.d5.loss_cls: 0.8367, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.2424, decode.d6.loss_cls: 0.8301, decode.d6.loss_mask: 0.7760, decode.d6.loss_dice: 1.2276, decode.d7.loss_cls: 0.8328, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.2271, decode.d8.loss_cls: 0.8338, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.2281, loss: 30.7407 2022-04-29 19:04:44,357 - mmseg - INFO - Iter [44350/80000] lr: 6.398e-07, eta: 18:16:55, time: 1.768, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8144, decode.loss_mask: 0.7791, decode.loss_dice: 1.1884, decode.d0.loss_cls: 2.6752, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3677, decode.d1.loss_cls: 0.9094, decode.d1.loss_mask: 0.8139, decode.d1.loss_dice: 1.2892, decode.d2.loss_cls: 0.8394, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.2414, decode.d3.loss_cls: 0.8313, decode.d3.loss_mask: 0.7847, decode.d3.loss_dice: 1.2131, decode.d4.loss_cls: 0.8267, decode.d4.loss_mask: 0.7868, decode.d4.loss_dice: 1.2057, decode.d5.loss_cls: 0.8175, decode.d5.loss_mask: 0.7819, decode.d5.loss_dice: 1.2005, decode.d6.loss_cls: 0.8132, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1908, decode.d7.loss_cls: 0.8140, decode.d7.loss_mask: 0.7780, decode.d7.loss_dice: 1.1959, decode.d8.loss_cls: 0.8130, decode.d8.loss_mask: 0.7802, decode.d8.loss_dice: 1.1940, loss: 30.3005 2022-04-29 19:06:17,025 - mmseg - INFO - Iter [44400/80000] lr: 6.389e-07, eta: 18:15:23, time: 1.853, data_time: 0.062, memory: 64979, decode.loss_cls: 0.8312, decode.loss_mask: 0.7671, decode.loss_dice: 1.1968, decode.d0.loss_cls: 2.7229, decode.d0.loss_mask: 0.7646, decode.d0.loss_dice: 1.3819, decode.d1.loss_cls: 0.9342, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2820, decode.d2.loss_cls: 0.8711, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.2360, decode.d3.loss_cls: 0.8401, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.2174, decode.d4.loss_cls: 0.8364, decode.d4.loss_mask: 0.7754, decode.d4.loss_dice: 1.2135, decode.d5.loss_cls: 0.8377, decode.d5.loss_mask: 0.7719, decode.d5.loss_dice: 1.2043, decode.d6.loss_cls: 0.8224, decode.d6.loss_mask: 0.7723, decode.d6.loss_dice: 1.1980, decode.d7.loss_cls: 0.8276, decode.d7.loss_mask: 0.7671, decode.d7.loss_dice: 1.1962, decode.d8.loss_cls: 0.8250, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.2004, loss: 30.4100 2022-04-29 19:07:46,475 - mmseg - INFO - Iter [44450/80000] lr: 6.380e-07, eta: 18:13:49, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8133, decode.loss_mask: 0.7739, decode.loss_dice: 1.2132, decode.d0.loss_cls: 2.6639, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.3994, decode.d1.loss_cls: 0.9151, decode.d1.loss_mask: 0.8022, decode.d1.loss_dice: 1.3125, decode.d2.loss_cls: 0.8509, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2618, decode.d3.loss_cls: 0.8344, decode.d3.loss_mask: 0.7801, decode.d3.loss_dice: 1.2335, decode.d4.loss_cls: 0.8247, decode.d4.loss_mask: 0.7800, decode.d4.loss_dice: 1.2331, decode.d5.loss_cls: 0.8230, decode.d5.loss_mask: 0.7799, decode.d5.loss_dice: 1.2266, decode.d6.loss_cls: 0.8127, decode.d6.loss_mask: 0.7738, decode.d6.loss_dice: 1.2215, decode.d7.loss_cls: 0.8093, decode.d7.loss_mask: 0.7770, decode.d7.loss_dice: 1.2212, decode.d8.loss_cls: 0.8116, decode.d8.loss_mask: 0.7757, decode.d8.loss_dice: 1.2164, loss: 30.5119 2022-04-29 19:09:15,791 - mmseg - INFO - Iter [44500/80000] lr: 6.372e-07, eta: 18:12:14, time: 1.786, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7957, decode.loss_mask: 0.7596, decode.loss_dice: 1.1910, decode.d0.loss_cls: 2.6276, decode.d0.loss_mask: 0.7639, decode.d0.loss_dice: 1.3726, decode.d1.loss_cls: 0.8958, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2850, decode.d2.loss_cls: 0.8296, decode.d2.loss_mask: 0.7799, decode.d2.loss_dice: 1.2309, decode.d3.loss_cls: 0.8132, decode.d3.loss_mask: 0.7706, decode.d3.loss_dice: 1.2057, decode.d4.loss_cls: 0.8028, decode.d4.loss_mask: 0.7715, decode.d4.loss_dice: 1.2066, decode.d5.loss_cls: 0.8020, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.2051, decode.d6.loss_cls: 0.7920, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1970, decode.d7.loss_cls: 0.7943, decode.d7.loss_mask: 0.7663, decode.d7.loss_dice: 1.1925, decode.d8.loss_cls: 0.7927, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.1962, loss: 29.9284 2022-04-29 19:10:44,308 - mmseg - INFO - Iter [44550/80000] lr: 6.363e-07, eta: 18:10:39, time: 1.770, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8049, decode.loss_mask: 0.7743, decode.loss_dice: 1.2055, decode.d0.loss_cls: 2.6401, decode.d0.loss_mask: 0.7784, decode.d0.loss_dice: 1.3813, decode.d1.loss_cls: 0.8915, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.3040, decode.d2.loss_cls: 0.8375, decode.d2.loss_mask: 0.7933, decode.d2.loss_dice: 1.2571, decode.d3.loss_cls: 0.8244, decode.d3.loss_mask: 0.7873, decode.d3.loss_dice: 1.2294, decode.d4.loss_cls: 0.8249, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.2253, decode.d5.loss_cls: 0.8178, decode.d5.loss_mask: 0.7780, decode.d5.loss_dice: 1.2159, decode.d6.loss_cls: 0.8090, decode.d6.loss_mask: 0.7790, decode.d6.loss_dice: 1.2034, decode.d7.loss_cls: 0.8111, decode.d7.loss_mask: 0.7776, decode.d7.loss_dice: 1.2036, decode.d8.loss_cls: 0.8128, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.2009, loss: 30.3295 2022-04-29 19:12:13,003 - mmseg - INFO - Iter [44600/80000] lr: 6.354e-07, eta: 18:09:04, time: 1.774, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7947, decode.loss_mask: 0.7636, decode.loss_dice: 1.1849, decode.d0.loss_cls: 2.6204, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 0.8762, decode.d1.loss_mask: 0.7918, decode.d1.loss_dice: 1.2809, decode.d2.loss_cls: 0.8197, decode.d2.loss_mask: 0.7831, decode.d2.loss_dice: 1.2349, decode.d3.loss_cls: 0.8100, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.2079, decode.d4.loss_cls: 0.8080, decode.d4.loss_mask: 0.7716, decode.d4.loss_dice: 1.2045, decode.d5.loss_cls: 0.8075, decode.d5.loss_mask: 0.7666, decode.d5.loss_dice: 1.2037, decode.d6.loss_cls: 0.8051, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1882, decode.d7.loss_cls: 0.7987, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.1879, decode.d8.loss_cls: 0.7924, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.1883, loss: 29.8841 2022-04-29 19:13:41,072 - mmseg - INFO - Iter [44650/80000] lr: 6.345e-07, eta: 18:07:28, time: 1.761, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8480, decode.loss_mask: 0.7625, decode.loss_dice: 1.1950, decode.d0.loss_cls: 2.6585, decode.d0.loss_mask: 0.7717, decode.d0.loss_dice: 1.3826, decode.d1.loss_cls: 0.9298, decode.d1.loss_mask: 0.8072, decode.d1.loss_dice: 1.3099, decode.d2.loss_cls: 0.8696, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2461, decode.d3.loss_cls: 0.8568, decode.d3.loss_mask: 0.7781, decode.d3.loss_dice: 1.2108, decode.d4.loss_cls: 0.8485, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.2111, decode.d5.loss_cls: 0.8450, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.2096, decode.d6.loss_cls: 0.8445, decode.d6.loss_mask: 0.7709, decode.d6.loss_dice: 1.1973, decode.d7.loss_cls: 0.8431, decode.d7.loss_mask: 0.7697, decode.d7.loss_dice: 1.2029, decode.d8.loss_cls: 0.8429, decode.d8.loss_mask: 0.7667, decode.d8.loss_dice: 1.1958, loss: 30.5201 2022-04-29 19:15:10,114 - mmseg - INFO - Iter [44700/80000] lr: 6.336e-07, eta: 18:05:53, time: 1.779, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8203, decode.loss_mask: 0.7803, decode.loss_dice: 1.2019, decode.d0.loss_cls: 2.6360, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.3779, decode.d1.loss_cls: 0.9073, decode.d1.loss_mask: 0.8163, decode.d1.loss_dice: 1.2881, decode.d2.loss_cls: 0.8501, decode.d2.loss_mask: 0.7930, decode.d2.loss_dice: 1.2343, decode.d3.loss_cls: 0.8336, decode.d3.loss_mask: 0.7896, decode.d3.loss_dice: 1.2252, decode.d4.loss_cls: 0.8253, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.2197, decode.d5.loss_cls: 0.8284, decode.d5.loss_mask: 0.7856, decode.d5.loss_dice: 1.2161, decode.d6.loss_cls: 0.8209, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.8205, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.2045, decode.d8.loss_cls: 0.8180, decode.d8.loss_mask: 0.7798, decode.d8.loss_dice: 1.2000, loss: 30.4086 2022-04-29 19:16:39,579 - mmseg - INFO - Iter [44750/80000] lr: 6.327e-07, eta: 18:04:19, time: 1.789, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7899, decode.loss_mask: 0.7859, decode.loss_dice: 1.1772, decode.d0.loss_cls: 2.6088, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3540, decode.d1.loss_cls: 0.8818, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.2709, decode.d2.loss_cls: 0.8221, decode.d2.loss_mask: 0.7995, decode.d2.loss_dice: 1.2183, decode.d3.loss_cls: 0.8081, decode.d3.loss_mask: 0.7917, decode.d3.loss_dice: 1.1882, decode.d4.loss_cls: 0.7939, decode.d4.loss_mask: 0.7922, decode.d4.loss_dice: 1.1928, decode.d5.loss_cls: 0.7939, decode.d5.loss_mask: 0.7886, decode.d5.loss_dice: 1.1819, decode.d6.loss_cls: 0.7908, decode.d6.loss_mask: 0.7857, decode.d6.loss_dice: 1.1738, decode.d7.loss_cls: 0.7918, decode.d7.loss_mask: 0.7842, decode.d7.loss_dice: 1.1723, decode.d8.loss_cls: 0.7859, decode.d8.loss_mask: 0.7875, decode.d8.loss_dice: 1.1831, loss: 29.8954 2022-04-29 19:18:08,490 - mmseg - INFO - Iter [44800/80000] lr: 6.318e-07, eta: 18:02:44, time: 1.780, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8365, decode.loss_mask: 0.7814, decode.loss_dice: 1.1838, decode.d0.loss_cls: 2.6493, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.3621, decode.d1.loss_cls: 0.9329, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.2796, decode.d2.loss_cls: 0.8706, decode.d2.loss_mask: 0.7891, decode.d2.loss_dice: 1.2362, decode.d3.loss_cls: 0.8500, decode.d3.loss_mask: 0.7817, decode.d3.loss_dice: 1.2101, decode.d4.loss_cls: 0.8421, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.2083, decode.d5.loss_cls: 0.8388, decode.d5.loss_mask: 0.7799, decode.d5.loss_dice: 1.2011, decode.d6.loss_cls: 0.8367, decode.d6.loss_mask: 0.7765, decode.d6.loss_dice: 1.1845, decode.d7.loss_cls: 0.8385, decode.d7.loss_mask: 0.7764, decode.d7.loss_dice: 1.1828, decode.d8.loss_cls: 0.8376, decode.d8.loss_mask: 0.7788, decode.d8.loss_dice: 1.1865, loss: 30.4052 2022-04-29 19:19:37,646 - mmseg - INFO - Iter [44850/80000] lr: 6.309e-07, eta: 18:01:09, time: 1.781, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7918, decode.loss_mask: 0.7781, decode.loss_dice: 1.2123, decode.d0.loss_cls: 2.6140, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.3884, decode.d1.loss_cls: 0.8825, decode.d1.loss_mask: 0.8108, decode.d1.loss_dice: 1.3060, decode.d2.loss_cls: 0.8261, decode.d2.loss_mask: 0.7954, decode.d2.loss_dice: 1.2561, decode.d3.loss_cls: 0.8111, decode.d3.loss_mask: 0.7930, decode.d3.loss_dice: 1.2311, decode.d4.loss_cls: 0.8072, decode.d4.loss_mask: 0.7893, decode.d4.loss_dice: 1.2329, decode.d5.loss_cls: 0.8024, decode.d5.loss_mask: 0.7819, decode.d5.loss_dice: 1.2181, decode.d6.loss_cls: 0.7977, decode.d6.loss_mask: 0.7815, decode.d6.loss_dice: 1.2084, decode.d7.loss_cls: 0.7915, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.2158, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.2140, loss: 30.2831 2022-04-29 19:21:05,773 - mmseg - INFO - Iter [44900/80000] lr: 6.300e-07, eta: 17:59:33, time: 1.763, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8254, decode.loss_mask: 0.7643, decode.loss_dice: 1.1798, decode.d0.loss_cls: 2.6792, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3679, decode.d1.loss_cls: 0.9176, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.2784, decode.d2.loss_cls: 0.8512, decode.d2.loss_mask: 0.7816, decode.d2.loss_dice: 1.2339, decode.d3.loss_cls: 0.8411, decode.d3.loss_mask: 0.7720, decode.d3.loss_dice: 1.2005, decode.d4.loss_cls: 0.8360, decode.d4.loss_mask: 0.7695, decode.d4.loss_dice: 1.1933, decode.d5.loss_cls: 0.8315, decode.d5.loss_mask: 0.7689, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 0.8341, decode.d6.loss_mask: 0.7647, decode.d6.loss_dice: 1.1788, decode.d7.loss_cls: 0.8238, decode.d7.loss_mask: 0.7670, decode.d7.loss_dice: 1.1820, decode.d8.loss_cls: 0.8255, decode.d8.loss_mask: 0.7658, decode.d8.loss_dice: 1.1835, loss: 30.1837 2022-04-29 19:22:35,271 - mmseg - INFO - Iter [44950/80000] lr: 6.291e-07, eta: 17:57:59, time: 1.792, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8183, decode.loss_mask: 0.7784, decode.loss_dice: 1.1822, decode.d0.loss_cls: 2.6387, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3720, decode.d1.loss_cls: 0.9126, decode.d1.loss_mask: 0.8128, decode.d1.loss_dice: 1.2914, decode.d2.loss_cls: 0.8468, decode.d2.loss_mask: 0.7997, decode.d2.loss_dice: 1.2367, decode.d3.loss_cls: 0.8341, decode.d3.loss_mask: 0.7838, decode.d3.loss_dice: 1.2153, decode.d4.loss_cls: 0.8257, decode.d4.loss_mask: 0.7856, decode.d4.loss_dice: 1.2101, decode.d5.loss_cls: 0.8238, decode.d5.loss_mask: 0.7824, decode.d5.loss_dice: 1.2037, decode.d6.loss_cls: 0.8175, decode.d6.loss_mask: 0.7816, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.8103, decode.d7.loss_mask: 0.7832, decode.d7.loss_dice: 1.1938, decode.d8.loss_cls: 0.8129, decode.d8.loss_mask: 0.7830, decode.d8.loss_dice: 1.1936, loss: 30.3044 2022-04-29 19:24:03,427 - mmseg - INFO - Saving checkpoint at 45000 iterations 2022-04-29 19:24:22,303 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 19:24:22,313 - mmseg - INFO - Iter [45000/80000] lr: 6.282e-07, eta: 17:56:38, time: 2.139, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8034, decode.loss_mask: 0.8044, decode.loss_dice: 1.2068, decode.d0.loss_cls: 2.6176, decode.d0.loss_mask: 0.8037, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.8801, decode.d1.loss_mask: 0.8394, decode.d1.loss_dice: 1.2936, decode.d2.loss_cls: 0.8290, decode.d2.loss_mask: 0.8213, decode.d2.loss_dice: 1.2532, decode.d3.loss_cls: 0.8201, decode.d3.loss_mask: 0.8096, decode.d3.loss_dice: 1.2246, decode.d4.loss_cls: 0.8104, decode.d4.loss_mask: 0.8122, decode.d4.loss_dice: 1.2265, decode.d5.loss_cls: 0.8101, decode.d5.loss_mask: 0.8111, decode.d5.loss_dice: 1.2201, decode.d6.loss_cls: 0.8022, decode.d6.loss_mask: 0.8073, decode.d6.loss_dice: 1.2053, decode.d7.loss_cls: 0.8025, decode.d7.loss_mask: 0.8079, decode.d7.loss_dice: 1.2073, decode.d8.loss_cls: 0.8007, decode.d8.loss_mask: 0.8065, decode.d8.loss_dice: 1.2087, loss: 30.5155 2022-04-29 19:25:51,270 - mmseg - INFO - Iter [45050/80000] lr: 6.273e-07, eta: 17:55:03, time: 1.781, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8568, decode.loss_mask: 0.7577, decode.loss_dice: 1.2159, decode.d0.loss_cls: 2.6799, decode.d0.loss_mask: 0.7686, decode.d0.loss_dice: 1.3965, decode.d1.loss_cls: 0.9475, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.3113, decode.d2.loss_cls: 0.8769, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.2588, decode.d3.loss_cls: 0.8659, decode.d3.loss_mask: 0.7651, decode.d3.loss_dice: 1.2418, decode.d4.loss_cls: 0.8576, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.2323, decode.d5.loss_cls: 0.8573, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.2214, decode.d6.loss_cls: 0.8506, decode.d6.loss_mask: 0.7585, decode.d6.loss_dice: 1.2132, decode.d7.loss_cls: 0.8555, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.2076, decode.d8.loss_cls: 0.8494, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.2172, loss: 30.6739 2022-04-29 19:27:21,005 - mmseg - INFO - Iter [45100/80000] lr: 6.264e-07, eta: 17:53:29, time: 1.793, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8208, decode.loss_mask: 0.7699, decode.loss_dice: 1.2050, decode.d0.loss_cls: 2.6506, decode.d0.loss_mask: 0.7794, decode.d0.loss_dice: 1.3800, decode.d1.loss_cls: 0.9042, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.3031, decode.d2.loss_cls: 0.8572, decode.d2.loss_mask: 0.7851, decode.d2.loss_dice: 1.2481, decode.d3.loss_cls: 0.8442, decode.d3.loss_mask: 0.7754, decode.d3.loss_dice: 1.2285, decode.d4.loss_cls: 0.8263, decode.d4.loss_mask: 0.7784, decode.d4.loss_dice: 1.2240, decode.d5.loss_cls: 0.8256, decode.d5.loss_mask: 0.7758, decode.d5.loss_dice: 1.2135, decode.d6.loss_cls: 0.8251, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.2074, decode.d7.loss_cls: 0.8244, decode.d7.loss_mask: 0.7712, decode.d7.loss_dice: 1.2041, decode.d8.loss_cls: 0.8222, decode.d8.loss_mask: 0.7691, decode.d8.loss_dice: 1.2068, loss: 30.4010 2022-04-29 19:28:49,286 - mmseg - INFO - Iter [45150/80000] lr: 6.255e-07, eta: 17:51:54, time: 1.768, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8460, decode.loss_mask: 0.7528, decode.loss_dice: 1.1980, decode.d0.loss_cls: 2.7217, decode.d0.loss_mask: 0.7556, decode.d0.loss_dice: 1.3789, decode.d1.loss_cls: 0.9345, decode.d1.loss_mask: 0.7892, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.8806, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.2360, decode.d3.loss_cls: 0.8661, decode.d3.loss_mask: 0.7566, decode.d3.loss_dice: 1.2104, decode.d4.loss_cls: 0.8558, decode.d4.loss_mask: 0.7590, decode.d4.loss_dice: 1.2149, decode.d5.loss_cls: 0.8506, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.2063, decode.d6.loss_cls: 0.8434, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.1958, decode.d7.loss_cls: 0.8406, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.2034, decode.d8.loss_cls: 0.8426, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1973, loss: 30.4134 2022-04-29 19:30:18,029 - mmseg - INFO - Iter [45200/80000] lr: 6.246e-07, eta: 17:50:19, time: 1.775, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8147, decode.loss_mask: 0.7519, decode.loss_dice: 1.1798, decode.d0.loss_cls: 2.5942, decode.d0.loss_mask: 0.7518, decode.d0.loss_dice: 1.3634, decode.d1.loss_cls: 0.8966, decode.d1.loss_mask: 0.7793, decode.d1.loss_dice: 1.2712, decode.d2.loss_cls: 0.8375, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2185, decode.d3.loss_cls: 0.8255, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.1962, decode.d4.loss_cls: 0.8227, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.1893, decode.d5.loss_cls: 0.8199, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.1837, decode.d6.loss_cls: 0.8181, decode.d6.loss_mask: 0.7488, decode.d6.loss_dice: 1.1749, decode.d7.loss_cls: 0.8146, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1752, decode.d8.loss_cls: 0.8129, decode.d8.loss_mask: 0.7548, decode.d8.loss_dice: 1.1796, loss: 29.7583 2022-04-29 19:31:47,125 - mmseg - INFO - Iter [45250/80000] lr: 6.237e-07, eta: 17:48:44, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8605, decode.loss_mask: 0.7568, decode.loss_dice: 1.1918, decode.d0.loss_cls: 2.6829, decode.d0.loss_mask: 0.7737, decode.d0.loss_dice: 1.3748, decode.d1.loss_cls: 0.9426, decode.d1.loss_mask: 0.7913, decode.d1.loss_dice: 1.2907, decode.d2.loss_cls: 0.8823, decode.d2.loss_mask: 0.7769, decode.d2.loss_dice: 1.2414, decode.d3.loss_cls: 0.8698, decode.d3.loss_mask: 0.7697, decode.d3.loss_dice: 1.2127, decode.d4.loss_cls: 0.8658, decode.d4.loss_mask: 0.7664, decode.d4.loss_dice: 1.2112, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.2047, decode.d6.loss_cls: 0.8548, decode.d6.loss_mask: 0.7556, decode.d6.loss_dice: 1.1926, decode.d7.loss_cls: 0.8572, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1930, decode.d8.loss_cls: 0.8534, decode.d8.loss_mask: 0.7573, decode.d8.loss_dice: 1.1965, loss: 30.5078 2022-04-29 19:33:16,329 - mmseg - INFO - Iter [45300/80000] lr: 6.228e-07, eta: 17:47:09, time: 1.786, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8263, decode.loss_mask: 0.7742, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.6448, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.3709, decode.d1.loss_cls: 0.9093, decode.d1.loss_mask: 0.8097, decode.d1.loss_dice: 1.2868, decode.d2.loss_cls: 0.8541, decode.d2.loss_mask: 0.7840, decode.d2.loss_dice: 1.2336, decode.d3.loss_cls: 0.8410, decode.d3.loss_mask: 0.7841, decode.d3.loss_dice: 1.2018, decode.d4.loss_cls: 0.8335, decode.d4.loss_mask: 0.7875, decode.d4.loss_dice: 1.2044, decode.d5.loss_cls: 0.8277, decode.d5.loss_mask: 0.7868, decode.d5.loss_dice: 1.2059, decode.d6.loss_cls: 0.8214, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.1934, decode.d7.loss_cls: 0.8212, decode.d7.loss_mask: 0.7786, decode.d7.loss_dice: 1.1936, decode.d8.loss_cls: 0.8210, decode.d8.loss_mask: 0.7770, decode.d8.loss_dice: 1.1889, loss: 30.3163 2022-04-29 19:34:45,871 - mmseg - INFO - Iter [45350/80000] lr: 6.219e-07, eta: 17:45:35, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8136, decode.loss_mask: 0.7773, decode.loss_dice: 1.1969, decode.d0.loss_cls: 2.6333, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.3785, decode.d1.loss_cls: 0.8917, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2888, decode.d2.loss_cls: 0.8379, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2383, decode.d3.loss_cls: 0.8274, decode.d3.loss_mask: 0.7844, decode.d3.loss_dice: 1.2122, decode.d4.loss_cls: 0.8164, decode.d4.loss_mask: 0.7863, decode.d4.loss_dice: 1.2128, decode.d5.loss_cls: 0.8174, decode.d5.loss_mask: 0.7806, decode.d5.loss_dice: 1.2059, decode.d6.loss_cls: 0.8109, decode.d6.loss_mask: 0.7813, decode.d6.loss_dice: 1.2014, decode.d7.loss_cls: 0.8018, decode.d7.loss_mask: 0.7850, decode.d7.loss_dice: 1.2066, decode.d8.loss_cls: 0.8062, decode.d8.loss_mask: 0.7831, decode.d8.loss_dice: 1.2034, loss: 30.2602 2022-04-29 19:36:15,284 - mmseg - INFO - Iter [45400/80000] lr: 6.210e-07, eta: 17:44:01, time: 1.788, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8422, decode.loss_mask: 0.7864, decode.loss_dice: 1.2111, decode.d0.loss_cls: 2.6617, decode.d0.loss_mask: 0.7978, decode.d0.loss_dice: 1.3950, decode.d1.loss_cls: 0.9295, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.3227, decode.d2.loss_cls: 0.8704, decode.d2.loss_mask: 0.8070, decode.d2.loss_dice: 1.2580, decode.d3.loss_cls: 0.8521, decode.d3.loss_mask: 0.7930, decode.d3.loss_dice: 1.2277, decode.d4.loss_cls: 0.8461, decode.d4.loss_mask: 0.7957, decode.d4.loss_dice: 1.2330, decode.d5.loss_cls: 0.8427, decode.d5.loss_mask: 0.7892, decode.d5.loss_dice: 1.2186, decode.d6.loss_cls: 0.8386, decode.d6.loss_mask: 0.7901, decode.d6.loss_dice: 1.2070, decode.d7.loss_cls: 0.8338, decode.d7.loss_mask: 0.7894, decode.d7.loss_dice: 1.2073, decode.d8.loss_cls: 0.8385, decode.d8.loss_mask: 0.7868, decode.d8.loss_dice: 1.2152, loss: 30.8092 2022-04-29 19:37:44,998 - mmseg - INFO - Iter [45450/80000] lr: 6.201e-07, eta: 17:42:27, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7842, decode.loss_mask: 0.7757, decode.loss_dice: 1.1865, decode.d0.loss_cls: 2.6215, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3768, decode.d1.loss_cls: 0.8749, decode.d1.loss_mask: 0.8053, decode.d1.loss_dice: 1.2884, decode.d2.loss_cls: 0.8191, decode.d2.loss_mask: 0.7946, decode.d2.loss_dice: 1.2389, decode.d3.loss_cls: 0.7993, decode.d3.loss_mask: 0.7877, decode.d3.loss_dice: 1.2137, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.7859, decode.d4.loss_dice: 1.2090, decode.d5.loss_cls: 0.7956, decode.d5.loss_mask: 0.7818, decode.d5.loss_dice: 1.2025, decode.d6.loss_cls: 0.7859, decode.d6.loss_mask: 0.7790, decode.d6.loss_dice: 1.1920, decode.d7.loss_cls: 0.7842, decode.d7.loss_mask: 0.7802, decode.d7.loss_dice: 1.1920, decode.d8.loss_cls: 0.7825, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.1916, loss: 29.9803 2022-04-29 19:39:13,293 - mmseg - INFO - Iter [45500/80000] lr: 6.192e-07, eta: 17:40:51, time: 1.766, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8475, decode.loss_mask: 0.7747, decode.loss_dice: 1.2336, decode.d0.loss_cls: 2.7189, decode.d0.loss_mask: 0.7804, decode.d0.loss_dice: 1.4173, decode.d1.loss_cls: 0.9282, decode.d1.loss_mask: 0.8122, decode.d1.loss_dice: 1.3387, decode.d2.loss_cls: 0.8712, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2854, decode.d3.loss_cls: 0.8545, decode.d3.loss_mask: 0.7829, decode.d3.loss_dice: 1.2551, decode.d4.loss_cls: 0.8476, decode.d4.loss_mask: 0.7834, decode.d4.loss_dice: 1.2519, decode.d5.loss_cls: 0.8493, decode.d5.loss_mask: 0.7773, decode.d5.loss_dice: 1.2454, decode.d6.loss_cls: 0.8427, decode.d6.loss_mask: 0.7747, decode.d6.loss_dice: 1.2371, decode.d7.loss_cls: 0.8389, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.2341, decode.d8.loss_cls: 0.8431, decode.d8.loss_mask: 0.7767, decode.d8.loss_dice: 1.2323, loss: 31.0004 2022-04-29 19:40:42,571 - mmseg - INFO - Iter [45550/80000] lr: 6.183e-07, eta: 17:39:17, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7939, decode.loss_mask: 0.7775, decode.loss_dice: 1.1974, decode.d0.loss_cls: 2.6250, decode.d0.loss_mask: 0.7742, decode.d0.loss_dice: 1.3654, decode.d1.loss_cls: 0.8938, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.2908, decode.d2.loss_cls: 0.8182, decode.d2.loss_mask: 0.7971, decode.d2.loss_dice: 1.2378, decode.d3.loss_cls: 0.8100, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.2117, decode.d4.loss_cls: 0.8029, decode.d4.loss_mask: 0.7835, decode.d4.loss_dice: 1.2176, decode.d5.loss_cls: 0.8070, decode.d5.loss_mask: 0.7818, decode.d5.loss_dice: 1.2083, decode.d6.loss_cls: 0.7959, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.2039, decode.d7.loss_cls: 0.8019, decode.d7.loss_mask: 0.7775, decode.d7.loss_dice: 1.1971, decode.d8.loss_cls: 0.7939, decode.d8.loss_mask: 0.7778, decode.d8.loss_dice: 1.1995, loss: 30.1086 2022-04-29 19:42:11,816 - mmseg - INFO - Iter [45600/80000] lr: 6.174e-07, eta: 17:37:42, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8102, decode.loss_mask: 0.7644, decode.loss_dice: 1.1750, decode.d0.loss_cls: 2.5425, decode.d0.loss_mask: 0.7753, decode.d0.loss_dice: 1.3531, decode.d1.loss_cls: 0.8823, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.2698, decode.d2.loss_cls: 0.8302, decode.d2.loss_mask: 0.7873, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 0.8224, decode.d3.loss_mask: 0.7839, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 0.8135, decode.d4.loss_mask: 0.7846, decode.d4.loss_dice: 1.1854, decode.d5.loss_cls: 0.8122, decode.d5.loss_mask: 0.7768, decode.d5.loss_dice: 1.1735, decode.d6.loss_cls: 0.8085, decode.d6.loss_mask: 0.7722, decode.d6.loss_dice: 1.1712, decode.d7.loss_cls: 0.7999, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.1736, decode.d8.loss_cls: 0.8054, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.1758, loss: 29.8029 2022-04-29 19:43:41,258 - mmseg - INFO - Iter [45650/80000] lr: 6.165e-07, eta: 17:36:08, time: 1.787, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8087, decode.loss_mask: 0.7603, decode.loss_dice: 1.2119, decode.d0.loss_cls: 2.6180, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3801, decode.d1.loss_cls: 0.9020, decode.d1.loss_mask: 0.7860, decode.d1.loss_dice: 1.2953, decode.d2.loss_cls: 0.8393, decode.d2.loss_mask: 0.7730, decode.d2.loss_dice: 1.2556, decode.d3.loss_cls: 0.8281, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.2289, decode.d4.loss_cls: 0.8193, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.2151, decode.d5.loss_cls: 0.8109, decode.d5.loss_mask: 0.7622, decode.d5.loss_dice: 1.2197, decode.d6.loss_cls: 0.8053, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.2052, decode.d7.loss_cls: 0.8101, decode.d7.loss_mask: 0.7607, decode.d7.loss_dice: 1.2109, decode.d8.loss_cls: 0.8040, decode.d8.loss_mask: 0.7609, decode.d8.loss_dice: 1.2072, loss: 30.1373 2022-04-29 19:45:10,328 - mmseg - INFO - Iter [45700/80000] lr: 6.156e-07, eta: 17:34:33, time: 1.783, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8560, decode.loss_mask: 0.7746, decode.loss_dice: 1.2329, decode.d0.loss_cls: 2.6730, decode.d0.loss_mask: 0.7743, decode.d0.loss_dice: 1.4216, decode.d1.loss_cls: 0.9564, decode.d1.loss_mask: 0.8031, decode.d1.loss_dice: 1.3217, decode.d2.loss_cls: 0.8879, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.2689, decode.d3.loss_cls: 0.8694, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.2457, decode.d4.loss_cls: 0.8622, decode.d4.loss_mask: 0.7765, decode.d4.loss_dice: 1.2490, decode.d5.loss_cls: 0.8621, decode.d5.loss_mask: 0.7728, decode.d5.loss_dice: 1.2397, decode.d6.loss_cls: 0.8581, decode.d6.loss_mask: 0.7676, decode.d6.loss_dice: 1.2306, decode.d7.loss_cls: 0.8526, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.2359, decode.d8.loss_cls: 0.8534, decode.d8.loss_mask: 0.7708, decode.d8.loss_dice: 1.2355, loss: 30.9891 2022-04-29 19:46:40,080 - mmseg - INFO - Iter [45750/80000] lr: 6.147e-07, eta: 17:32:59, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7821, decode.loss_mask: 0.7729, decode.loss_dice: 1.1793, decode.d0.loss_cls: 2.6647, decode.d0.loss_mask: 0.7756, decode.d0.loss_dice: 1.3629, decode.d1.loss_cls: 0.8714, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2805, decode.d2.loss_cls: 0.8064, decode.d2.loss_mask: 0.7953, decode.d2.loss_dice: 1.2264, decode.d3.loss_cls: 0.7913, decode.d3.loss_mask: 0.7829, decode.d3.loss_dice: 1.2011, decode.d4.loss_cls: 0.7833, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.2028, decode.d5.loss_cls: 0.7804, decode.d5.loss_mask: 0.7831, decode.d5.loss_dice: 1.1933, decode.d6.loss_cls: 0.7805, decode.d6.loss_mask: 0.7797, decode.d6.loss_dice: 1.1786, decode.d7.loss_cls: 0.7823, decode.d7.loss_mask: 0.7737, decode.d7.loss_dice: 1.1800, decode.d8.loss_cls: 0.7867, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.1885, loss: 29.8471 2022-04-29 19:48:08,765 - mmseg - INFO - Iter [45800/80000] lr: 6.138e-07, eta: 17:31:24, time: 1.774, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8135, decode.loss_mask: 0.7513, decode.loss_dice: 1.1795, decode.d0.loss_cls: 2.6671, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3702, decode.d1.loss_cls: 0.9025, decode.d1.loss_mask: 0.7888, decode.d1.loss_dice: 1.2779, decode.d2.loss_cls: 0.8436, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8324, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.2016, decode.d4.loss_cls: 0.8235, decode.d4.loss_mask: 0.7650, decode.d4.loss_dice: 1.2010, decode.d5.loss_cls: 0.8238, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1932, decode.d6.loss_cls: 0.8157, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1821, decode.d7.loss_cls: 0.8121, decode.d7.loss_mask: 0.7571, decode.d7.loss_dice: 1.1832, decode.d8.loss_cls: 0.8122, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1831, loss: 29.9812 2022-04-29 19:49:38,026 - mmseg - INFO - Iter [45850/80000] lr: 6.129e-07, eta: 17:29:50, time: 1.783, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8298, decode.loss_mask: 0.7733, decode.loss_dice: 1.1786, decode.d0.loss_cls: 2.6509, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3607, decode.d1.loss_cls: 0.9049, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2873, decode.d2.loss_cls: 0.8510, decode.d2.loss_mask: 0.7859, decode.d2.loss_dice: 1.2279, decode.d3.loss_cls: 0.8346, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.2042, decode.d4.loss_cls: 0.8311, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.2019, decode.d5.loss_cls: 0.8279, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1928, decode.d6.loss_cls: 0.8306, decode.d6.loss_mask: 0.7707, decode.d6.loss_dice: 1.1755, decode.d7.loss_cls: 0.8228, decode.d7.loss_mask: 0.7720, decode.d7.loss_dice: 1.1863, decode.d8.loss_cls: 0.8265, decode.d8.loss_mask: 0.7720, decode.d8.loss_dice: 1.1870, loss: 30.2040 2022-04-29 19:51:07,170 - mmseg - INFO - Iter [45900/80000] lr: 6.120e-07, eta: 17:28:15, time: 1.784, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8189, decode.loss_mask: 0.7590, decode.loss_dice: 1.1715, decode.d0.loss_cls: 2.6101, decode.d0.loss_mask: 0.7690, decode.d0.loss_dice: 1.3485, decode.d1.loss_cls: 0.9037, decode.d1.loss_mask: 0.7895, decode.d1.loss_dice: 1.2692, decode.d2.loss_cls: 0.8471, decode.d2.loss_mask: 0.7764, decode.d2.loss_dice: 1.2185, decode.d3.loss_cls: 0.8305, decode.d3.loss_mask: 0.7637, decode.d3.loss_dice: 1.1996, decode.d4.loss_cls: 0.8254, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.1933, decode.d5.loss_cls: 0.8226, decode.d5.loss_mask: 0.7648, decode.d5.loss_dice: 1.1836, decode.d6.loss_cls: 0.8181, decode.d6.loss_mask: 0.7601, decode.d6.loss_dice: 1.1790, decode.d7.loss_cls: 0.8181, decode.d7.loss_mask: 0.7603, decode.d7.loss_dice: 1.1788, decode.d8.loss_cls: 0.8205, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1725, loss: 29.8971 2022-04-29 19:52:36,427 - mmseg - INFO - Iter [45950/80000] lr: 6.111e-07, eta: 17:26:41, time: 1.785, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7999, decode.loss_mask: 0.7437, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.5938, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.3353, decode.d1.loss_cls: 0.8873, decode.d1.loss_mask: 0.7783, decode.d1.loss_dice: 1.2517, decode.d2.loss_cls: 0.8294, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.1993, decode.d3.loss_cls: 0.8214, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.1751, decode.d4.loss_cls: 0.8089, decode.d4.loss_mask: 0.7527, decode.d4.loss_dice: 1.1718, decode.d5.loss_cls: 0.8094, decode.d5.loss_mask: 0.7503, decode.d5.loss_dice: 1.1699, decode.d6.loss_cls: 0.8040, decode.d6.loss_mask: 0.7441, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.8071, decode.d7.loss_mask: 0.7412, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7996, decode.d8.loss_mask: 0.7435, decode.d8.loss_dice: 1.1598, loss: 29.4199 2022-04-29 19:54:05,301 - mmseg - INFO - Saving checkpoint at 46000 iterations 2022-04-29 19:54:24,089 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 19:54:24,096 - mmseg - INFO - Iter [46000/80000] lr: 6.102e-07, eta: 17:25:20, time: 2.151, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8142, decode.loss_mask: 0.7660, decode.loss_dice: 1.2041, decode.d0.loss_cls: 2.6648, decode.d0.loss_mask: 0.7699, decode.d0.loss_dice: 1.3701, decode.d1.loss_cls: 0.9040, decode.d1.loss_mask: 0.7958, decode.d1.loss_dice: 1.2944, decode.d2.loss_cls: 0.8413, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2525, decode.d3.loss_cls: 0.8263, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.2257, decode.d4.loss_cls: 0.8181, decode.d4.loss_mask: 0.7724, decode.d4.loss_dice: 1.2243, decode.d5.loss_cls: 0.8208, decode.d5.loss_mask: 0.7643, decode.d5.loss_dice: 1.2178, decode.d6.loss_cls: 0.8124, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.2067, decode.d7.loss_cls: 0.8108, decode.d7.loss_mask: 0.7630, decode.d7.loss_dice: 1.2063, decode.d8.loss_cls: 0.8120, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.2034, loss: 30.2443 2022-04-29 19:55:53,327 - mmseg - INFO - Iter [46050/80000] lr: 6.093e-07, eta: 17:23:46, time: 1.786, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8027, decode.loss_mask: 0.7344, decode.loss_dice: 1.1813, decode.d0.loss_cls: 2.6436, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.3549, decode.d1.loss_cls: 0.9046, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.2718, decode.d2.loss_cls: 0.8400, decode.d2.loss_mask: 0.7474, decode.d2.loss_dice: 1.2188, decode.d3.loss_cls: 0.8205, decode.d3.loss_mask: 0.7427, decode.d3.loss_dice: 1.1978, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7405, decode.d4.loss_dice: 1.2013, decode.d5.loss_cls: 0.8075, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1938, decode.d6.loss_cls: 0.8094, decode.d6.loss_mask: 0.7361, decode.d6.loss_dice: 1.1777, decode.d7.loss_cls: 0.8059, decode.d7.loss_mask: 0.7347, decode.d7.loss_dice: 1.1788, decode.d8.loss_cls: 0.8065, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.1762, loss: 29.6161 2022-04-29 19:57:22,931 - mmseg - INFO - Iter [46100/80000] lr: 6.084e-07, eta: 17:22:12, time: 1.792, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8203, decode.loss_mask: 0.7558, decode.loss_dice: 1.1831, decode.d0.loss_cls: 2.6601, decode.d0.loss_mask: 0.7601, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.9054, decode.d1.loss_mask: 0.7949, decode.d1.loss_dice: 1.2905, decode.d2.loss_cls: 0.8498, decode.d2.loss_mask: 0.7690, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.8302, decode.d3.loss_mask: 0.7609, decode.d3.loss_dice: 1.2083, decode.d4.loss_cls: 0.8207, decode.d4.loss_mask: 0.7613, decode.d4.loss_dice: 1.2135, decode.d5.loss_cls: 0.8246, decode.d5.loss_mask: 0.7610, decode.d5.loss_dice: 1.1992, decode.d6.loss_cls: 0.8150, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1878, decode.d7.loss_cls: 0.8150, decode.d7.loss_mask: 0.7577, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.8086, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.1934, loss: 30.0685 2022-04-29 19:58:51,318 - mmseg - INFO - Iter [46150/80000] lr: 6.075e-07, eta: 17:20:36, time: 1.768, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8266, decode.loss_mask: 0.7620, decode.loss_dice: 1.2084, decode.d0.loss_cls: 2.6282, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3847, decode.d1.loss_cls: 0.9139, decode.d1.loss_mask: 0.7899, decode.d1.loss_dice: 1.3050, decode.d2.loss_cls: 0.8589, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2624, decode.d3.loss_cls: 0.8412, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.2264, decode.d4.loss_cls: 0.8334, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.2285, decode.d5.loss_cls: 0.8319, decode.d5.loss_mask: 0.7663, decode.d5.loss_dice: 1.2259, decode.d6.loss_cls: 0.8267, decode.d6.loss_mask: 0.7632, decode.d6.loss_dice: 1.2140, decode.d7.loss_cls: 0.8243, decode.d7.loss_mask: 0.7610, decode.d7.loss_dice: 1.2156, decode.d8.loss_cls: 0.8223, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.2138, loss: 30.3692 2022-04-29 20:00:19,808 - mmseg - INFO - Iter [46200/80000] lr: 6.066e-07, eta: 17:19:02, time: 1.770, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7932, decode.loss_mask: 0.7706, decode.loss_dice: 1.1956, decode.d0.loss_cls: 2.5814, decode.d0.loss_mask: 0.7784, decode.d0.loss_dice: 1.3724, decode.d1.loss_cls: 0.8680, decode.d1.loss_mask: 0.7986, decode.d1.loss_dice: 1.2961, decode.d2.loss_cls: 0.8214, decode.d2.loss_mask: 0.7837, decode.d2.loss_dice: 1.2399, decode.d3.loss_cls: 0.8121, decode.d3.loss_mask: 0.7768, decode.d3.loss_dice: 1.2124, decode.d4.loss_cls: 0.7992, decode.d4.loss_mask: 0.7747, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8026, decode.d5.loss_mask: 0.7700, decode.d5.loss_dice: 1.2128, decode.d6.loss_cls: 0.7974, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.1974, decode.d7.loss_cls: 0.7949, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.2016, decode.d8.loss_cls: 0.7932, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.1932, loss: 29.9629 2022-04-29 20:01:48,224 - mmseg - INFO - Iter [46250/80000] lr: 6.057e-07, eta: 17:17:27, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8114, decode.loss_mask: 0.7800, decode.loss_dice: 1.1679, decode.d0.loss_cls: 2.6013, decode.d0.loss_mask: 0.7860, decode.d0.loss_dice: 1.3485, decode.d1.loss_cls: 0.8920, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.2662, decode.d2.loss_cls: 0.8396, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.2133, decode.d3.loss_cls: 0.8289, decode.d3.loss_mask: 0.7881, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.8157, decode.d4.loss_mask: 0.7846, decode.d4.loss_dice: 1.1911, decode.d5.loss_cls: 0.8209, decode.d5.loss_mask: 0.7785, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 0.8155, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 0.8088, decode.d7.loss_mask: 0.7782, decode.d7.loss_dice: 1.1622, decode.d8.loss_cls: 0.8107, decode.d8.loss_mask: 0.7791, decode.d8.loss_dice: 1.1644, loss: 29.9300 2022-04-29 20:03:18,448 - mmseg - INFO - Iter [46300/80000] lr: 6.048e-07, eta: 17:15:53, time: 1.804, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7856, decode.loss_mask: 0.7337, decode.loss_dice: 1.1538, decode.d0.loss_cls: 2.5992, decode.d0.loss_mask: 0.7381, decode.d0.loss_dice: 1.3388, decode.d1.loss_cls: 0.8750, decode.d1.loss_mask: 0.7712, decode.d1.loss_dice: 1.2638, decode.d2.loss_cls: 0.8216, decode.d2.loss_mask: 0.7469, decode.d2.loss_dice: 1.2096, decode.d3.loss_cls: 0.8036, decode.d3.loss_mask: 0.7424, decode.d3.loss_dice: 1.1781, decode.d4.loss_cls: 0.7965, decode.d4.loss_mask: 0.7366, decode.d4.loss_dice: 1.1766, decode.d5.loss_cls: 0.7884, decode.d5.loss_mask: 0.7377, decode.d5.loss_dice: 1.1786, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7349, decode.d6.loss_dice: 1.1603, decode.d7.loss_cls: 0.7911, decode.d7.loss_mask: 0.7389, decode.d7.loss_dice: 1.1609, decode.d8.loss_cls: 0.7866, decode.d8.loss_mask: 0.7363, decode.d8.loss_dice: 1.1545, loss: 29.2263 2022-04-29 20:04:47,173 - mmseg - INFO - Iter [46350/80000] lr: 6.039e-07, eta: 17:14:18, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8020, decode.loss_mask: 0.7817, decode.loss_dice: 1.1917, decode.d0.loss_cls: 2.5567, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.3805, decode.d1.loss_cls: 0.8930, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2885, decode.d2.loss_cls: 0.8340, decode.d2.loss_mask: 0.7909, decode.d2.loss_dice: 1.2382, decode.d3.loss_cls: 0.8233, decode.d3.loss_mask: 0.7769, decode.d3.loss_dice: 1.2121, decode.d4.loss_cls: 0.8161, decode.d4.loss_mask: 0.7803, decode.d4.loss_dice: 1.2101, decode.d5.loss_cls: 0.8219, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.2004, decode.d6.loss_cls: 0.8059, decode.d6.loss_mask: 0.7760, decode.d6.loss_dice: 1.1917, decode.d7.loss_cls: 0.8086, decode.d7.loss_mask: 0.7746, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.8064, decode.d8.loss_mask: 0.7751, decode.d8.loss_dice: 1.1948, loss: 30.0808 2022-04-29 20:06:15,486 - mmseg - INFO - Iter [46400/80000] lr: 6.031e-07, eta: 17:12:43, time: 1.768, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8260, decode.loss_mask: 0.7842, decode.loss_dice: 1.1971, decode.d0.loss_cls: 2.5736, decode.d0.loss_mask: 0.7904, decode.d0.loss_dice: 1.3800, decode.d1.loss_cls: 0.9064, decode.d1.loss_mask: 0.8137, decode.d1.loss_dice: 1.2904, decode.d2.loss_cls: 0.8417, decode.d2.loss_mask: 0.8027, decode.d2.loss_dice: 1.2339, decode.d3.loss_cls: 0.8357, decode.d3.loss_mask: 0.7939, decode.d3.loss_dice: 1.2147, decode.d4.loss_cls: 0.8299, decode.d4.loss_mask: 0.7947, decode.d4.loss_dice: 1.2069, decode.d5.loss_cls: 0.8265, decode.d5.loss_mask: 0.7894, decode.d5.loss_dice: 1.2041, decode.d6.loss_cls: 0.8193, decode.d6.loss_mask: 0.7877, decode.d6.loss_dice: 1.1926, decode.d7.loss_cls: 0.8172, decode.d7.loss_mask: 0.7855, decode.d7.loss_dice: 1.1942, decode.d8.loss_cls: 0.8222, decode.d8.loss_mask: 0.7843, decode.d8.loss_dice: 1.1949, loss: 30.3335 2022-04-29 20:07:44,950 - mmseg - INFO - Iter [46450/80000] lr: 6.022e-07, eta: 17:11:09, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8080, decode.loss_mask: 0.7739, decode.loss_dice: 1.1629, decode.d0.loss_cls: 2.6159, decode.d0.loss_mask: 0.7718, decode.d0.loss_dice: 1.3553, decode.d1.loss_cls: 0.8909, decode.d1.loss_mask: 0.7974, decode.d1.loss_dice: 1.2610, decode.d2.loss_cls: 0.8377, decode.d2.loss_mask: 0.7861, decode.d2.loss_dice: 1.2120, decode.d3.loss_cls: 0.8272, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.1894, decode.d4.loss_cls: 0.8200, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.1821, decode.d5.loss_cls: 0.8108, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.1749, decode.d6.loss_cls: 0.8026, decode.d6.loss_mask: 0.7696, decode.d6.loss_dice: 1.1703, decode.d7.loss_cls: 0.8017, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.1628, decode.d8.loss_cls: 0.8064, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.1627, loss: 29.8228 2022-04-29 20:09:13,179 - mmseg - INFO - Iter [46500/80000] lr: 6.013e-07, eta: 17:09:34, time: 1.764, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7687, decode.loss_mask: 0.7727, decode.loss_dice: 1.1494, decode.d0.loss_cls: 2.5892, decode.d0.loss_mask: 0.7834, decode.d0.loss_dice: 1.3343, decode.d1.loss_cls: 0.8544, decode.d1.loss_mask: 0.8076, decode.d1.loss_dice: 1.2448, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7935, decode.d2.loss_dice: 1.2010, decode.d3.loss_cls: 0.7868, decode.d3.loss_mask: 0.7801, decode.d3.loss_dice: 1.1696, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.1659, decode.d5.loss_cls: 0.7791, decode.d5.loss_mask: 0.7764, decode.d5.loss_dice: 1.1597, decode.d6.loss_cls: 0.7750, decode.d6.loss_mask: 0.7726, decode.d6.loss_dice: 1.1508, decode.d7.loss_cls: 0.7699, decode.d7.loss_mask: 0.7753, decode.d7.loss_dice: 1.1528, decode.d8.loss_cls: 0.7695, decode.d8.loss_mask: 0.7728, decode.d8.loss_dice: 1.1495, loss: 29.3642 2022-04-29 20:10:42,692 - mmseg - INFO - Iter [46550/80000] lr: 6.004e-07, eta: 17:08:00, time: 1.791, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8281, decode.loss_mask: 0.7645, decode.loss_dice: 1.1713, decode.d0.loss_cls: 2.6056, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.3686, decode.d1.loss_cls: 0.9069, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2806, decode.d2.loss_cls: 0.8529, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.2220, decode.d3.loss_cls: 0.8332, decode.d3.loss_mask: 0.7736, decode.d3.loss_dice: 1.1981, decode.d4.loss_cls: 0.8244, decode.d4.loss_mask: 0.7742, decode.d4.loss_dice: 1.1929, decode.d5.loss_cls: 0.8285, decode.d5.loss_mask: 0.7679, decode.d5.loss_dice: 1.1832, decode.d6.loss_cls: 0.8224, decode.d6.loss_mask: 0.7672, decode.d6.loss_dice: 1.1782, decode.d7.loss_cls: 0.8252, decode.d7.loss_mask: 0.7623, decode.d7.loss_dice: 1.1779, decode.d8.loss_cls: 0.8184, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1738, loss: 30.0320 2022-04-29 20:12:10,627 - mmseg - INFO - Iter [46600/80000] lr: 5.995e-07, eta: 17:06:24, time: 1.758, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8174, decode.loss_mask: 0.7473, decode.loss_dice: 1.2011, decode.d0.loss_cls: 2.6206, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3889, decode.d1.loss_cls: 0.9241, decode.d1.loss_mask: 0.7712, decode.d1.loss_dice: 1.2927, decode.d2.loss_cls: 0.8488, decode.d2.loss_mask: 0.7642, decode.d2.loss_dice: 1.2465, decode.d3.loss_cls: 0.8388, decode.d3.loss_mask: 0.7508, decode.d3.loss_dice: 1.2162, decode.d4.loss_cls: 0.8335, decode.d4.loss_mask: 0.7490, decode.d4.loss_dice: 1.2130, decode.d5.loss_cls: 0.8281, decode.d5.loss_mask: 0.7502, decode.d5.loss_dice: 1.2086, decode.d6.loss_cls: 0.8198, decode.d6.loss_mask: 0.7534, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.8155, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.2019, decode.d8.loss_cls: 0.8189, decode.d8.loss_mask: 0.7459, decode.d8.loss_dice: 1.1968, loss: 30.0621 2022-04-29 20:13:40,698 - mmseg - INFO - Iter [46650/80000] lr: 5.986e-07, eta: 17:04:51, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8049, decode.loss_mask: 0.7753, decode.loss_dice: 1.2343, decode.d0.loss_cls: 2.6598, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.3897, decode.d1.loss_cls: 0.8975, decode.d1.loss_mask: 0.7973, decode.d1.loss_dice: 1.3202, decode.d2.loss_cls: 0.8296, decode.d2.loss_mask: 0.7855, decode.d2.loss_dice: 1.2736, decode.d3.loss_cls: 0.8214, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2458, decode.d4.loss_cls: 0.8103, decode.d4.loss_mask: 0.7818, decode.d4.loss_dice: 1.2406, decode.d5.loss_cls: 0.8036, decode.d5.loss_mask: 0.7830, decode.d5.loss_dice: 1.2418, decode.d6.loss_cls: 0.8031, decode.d6.loss_mask: 0.7754, decode.d6.loss_dice: 1.2284, decode.d7.loss_cls: 0.8060, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.2329, decode.d8.loss_cls: 0.8065, decode.d8.loss_mask: 0.7738, decode.d8.loss_dice: 1.2366, loss: 30.4919 2022-04-29 20:15:10,242 - mmseg - INFO - Iter [46700/80000] lr: 5.977e-07, eta: 17:03:17, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7726, decode.loss_mask: 0.7652, decode.loss_dice: 1.1392, decode.d0.loss_cls: 2.5792, decode.d0.loss_mask: 0.7662, decode.d0.loss_dice: 1.3137, decode.d1.loss_cls: 0.8567, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2340, decode.d2.loss_cls: 0.8095, decode.d2.loss_mask: 0.7762, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 0.7888, decode.d3.loss_mask: 0.7691, decode.d3.loss_dice: 1.1619, decode.d4.loss_cls: 0.7800, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.1568, decode.d5.loss_cls: 0.7754, decode.d5.loss_mask: 0.7662, decode.d5.loss_dice: 1.1520, decode.d6.loss_cls: 0.7766, decode.d6.loss_mask: 0.7606, decode.d6.loss_dice: 1.1363, decode.d7.loss_cls: 0.7762, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1402, decode.d8.loss_cls: 0.7758, decode.d8.loss_mask: 0.7615, decode.d8.loss_dice: 1.1421, loss: 29.1480 2022-04-29 20:16:39,375 - mmseg - INFO - Iter [46750/80000] lr: 5.968e-07, eta: 17:01:42, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8278, decode.loss_mask: 0.7704, decode.loss_dice: 1.2214, decode.d0.loss_cls: 2.6111, decode.d0.loss_mask: 0.7829, decode.d0.loss_dice: 1.4171, decode.d1.loss_cls: 0.9050, decode.d1.loss_mask: 0.8044, decode.d1.loss_dice: 1.3260, decode.d2.loss_cls: 0.8437, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2714, decode.d3.loss_cls: 0.8366, decode.d3.loss_mask: 0.7780, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 0.8360, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.2400, decode.d5.loss_cls: 0.8249, decode.d5.loss_mask: 0.7750, decode.d5.loss_dice: 1.2367, decode.d6.loss_cls: 0.8314, decode.d6.loss_mask: 0.7737, decode.d6.loss_dice: 1.2243, decode.d7.loss_cls: 0.8262, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.2275, decode.d8.loss_cls: 0.8204, decode.d8.loss_mask: 0.7729, decode.d8.loss_dice: 1.2290, loss: 30.5947 2022-04-29 20:18:08,499 - mmseg - INFO - Iter [46800/80000] lr: 5.959e-07, eta: 17:00:08, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8302, decode.loss_mask: 0.7863, decode.loss_dice: 1.2208, decode.d0.loss_cls: 2.6719, decode.d0.loss_mask: 0.7929, decode.d0.loss_dice: 1.4049, decode.d1.loss_cls: 0.9170, decode.d1.loss_mask: 0.8178, decode.d1.loss_dice: 1.3128, decode.d2.loss_cls: 0.8651, decode.d2.loss_mask: 0.7973, decode.d2.loss_dice: 1.2644, decode.d3.loss_cls: 0.8453, decode.d3.loss_mask: 0.7945, decode.d3.loss_dice: 1.2360, decode.d4.loss_cls: 0.8371, decode.d4.loss_mask: 0.7931, decode.d4.loss_dice: 1.2376, decode.d5.loss_cls: 0.8321, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.2385, decode.d6.loss_cls: 0.8281, decode.d6.loss_mask: 0.7882, decode.d6.loss_dice: 1.2255, decode.d7.loss_cls: 0.8290, decode.d7.loss_mask: 0.7882, decode.d7.loss_dice: 1.2264, decode.d8.loss_cls: 0.8267, decode.d8.loss_mask: 0.7896, decode.d8.loss_dice: 1.2229, loss: 30.8125 2022-04-29 20:19:38,796 - mmseg - INFO - Iter [46850/80000] lr: 5.950e-07, eta: 16:58:34, time: 1.806, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7602, decode.loss_mask: 0.7838, decode.loss_dice: 1.1622, decode.d0.loss_cls: 2.5146, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.3271, decode.d1.loss_cls: 0.8305, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.2617, decode.d2.loss_cls: 0.7836, decode.d2.loss_mask: 0.7976, decode.d2.loss_dice: 1.2080, decode.d3.loss_cls: 0.7713, decode.d3.loss_mask: 0.7889, decode.d3.loss_dice: 1.1808, decode.d4.loss_cls: 0.7693, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7628, decode.d5.loss_mask: 0.7891, decode.d5.loss_dice: 1.1723, decode.d6.loss_cls: 0.7629, decode.d6.loss_mask: 0.7852, decode.d6.loss_dice: 1.1539, decode.d7.loss_cls: 0.7569, decode.d7.loss_mask: 0.7848, decode.d7.loss_dice: 1.1633, decode.d8.loss_cls: 0.7570, decode.d8.loss_mask: 0.7853, decode.d8.loss_dice: 1.1691, loss: 29.3645 2022-04-29 20:21:06,990 - mmseg - INFO - Iter [46900/80000] lr: 5.941e-07, eta: 16:56:59, time: 1.764, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7804, decode.loss_mask: 0.7856, decode.loss_dice: 1.2098, decode.d0.loss_cls: 2.6321, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.3840, decode.d1.loss_cls: 0.8801, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.3040, decode.d2.loss_cls: 0.8154, decode.d2.loss_mask: 0.8025, decode.d2.loss_dice: 1.2491, decode.d3.loss_cls: 0.8033, decode.d3.loss_mask: 0.8001, decode.d3.loss_dice: 1.2306, decode.d4.loss_cls: 0.7928, decode.d4.loss_mask: 0.7976, decode.d4.loss_dice: 1.2278, decode.d5.loss_cls: 0.7878, decode.d5.loss_mask: 0.7908, decode.d5.loss_dice: 1.2212, decode.d6.loss_cls: 0.7869, decode.d6.loss_mask: 0.7883, decode.d6.loss_dice: 1.2128, decode.d7.loss_cls: 0.7827, decode.d7.loss_mask: 0.7865, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 0.7776, decode.d8.loss_mask: 0.7874, decode.d8.loss_dice: 1.2189, loss: 30.2589 2022-04-29 20:22:35,429 - mmseg - INFO - Iter [46950/80000] lr: 5.932e-07, eta: 16:55:25, time: 1.769, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8352, decode.loss_mask: 0.7922, decode.loss_dice: 1.1978, decode.d0.loss_cls: 2.6329, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 0.9125, decode.d1.loss_mask: 0.8273, decode.d1.loss_dice: 1.2953, decode.d2.loss_cls: 0.8626, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.2356, decode.d3.loss_cls: 0.8604, decode.d3.loss_mask: 0.7959, decode.d3.loss_dice: 1.2134, decode.d4.loss_cls: 0.8516, decode.d4.loss_mask: 0.7990, decode.d4.loss_dice: 1.2099, decode.d5.loss_cls: 0.8466, decode.d5.loss_mask: 0.7977, decode.d5.loss_dice: 1.2055, decode.d6.loss_cls: 0.8407, decode.d6.loss_mask: 0.7990, decode.d6.loss_dice: 1.1918, decode.d7.loss_cls: 0.8407, decode.d7.loss_mask: 0.7946, decode.d7.loss_dice: 1.1994, decode.d8.loss_cls: 0.8369, decode.d8.loss_mask: 0.7938, decode.d8.loss_dice: 1.1969, loss: 30.6461 2022-04-29 20:24:05,486 - mmseg - INFO - Saving checkpoint at 47000 iterations 2022-04-29 20:24:34,144 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 20:24:34,217 - mmseg - INFO - Iter [47000/80000] lr: 5.923e-07, eta: 16:54:11, time: 2.371, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8423, decode.loss_mask: 0.7729, decode.loss_dice: 1.2165, decode.d0.loss_cls: 2.6947, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.4086, decode.d1.loss_cls: 0.9159, decode.d1.loss_mask: 0.8178, decode.d1.loss_dice: 1.3196, decode.d2.loss_cls: 0.8594, decode.d2.loss_mask: 0.7934, decode.d2.loss_dice: 1.2615, decode.d3.loss_cls: 0.8566, decode.d3.loss_mask: 0.7838, decode.d3.loss_dice: 1.2401, decode.d4.loss_cls: 0.8523, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.2356, decode.d5.loss_cls: 0.8491, decode.d5.loss_mask: 0.7801, decode.d5.loss_dice: 1.2236, decode.d6.loss_cls: 0.8437, decode.d6.loss_mask: 0.7765, decode.d6.loss_dice: 1.2196, decode.d7.loss_cls: 0.8428, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.2175, decode.d8.loss_cls: 0.8430, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.2162, loss: 30.7921 2022-04-29 20:26:04,457 - mmseg - INFO - Iter [47050/80000] lr: 5.914e-07, eta: 16:52:37, time: 1.808, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7983, decode.loss_mask: 0.7567, decode.loss_dice: 1.1938, decode.d0.loss_cls: 2.6151, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3788, decode.d1.loss_cls: 0.8965, decode.d1.loss_mask: 0.7983, decode.d1.loss_dice: 1.2774, decode.d2.loss_cls: 0.8324, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2312, decode.d3.loss_cls: 0.8139, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.2083, decode.d4.loss_cls: 0.8145, decode.d4.loss_mask: 0.7635, decode.d4.loss_dice: 1.1972, decode.d5.loss_cls: 0.8068, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.1946, decode.d6.loss_cls: 0.7971, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.8002, decode.d7.loss_mask: 0.7612, decode.d7.loss_dice: 1.1927, decode.d8.loss_cls: 0.8001, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.1915, loss: 29.9066 2022-04-29 20:27:33,144 - mmseg - INFO - Iter [47100/80000] lr: 5.905e-07, eta: 16:51:03, time: 1.775, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8284, decode.loss_mask: 0.7781, decode.loss_dice: 1.2068, decode.d0.loss_cls: 2.6625, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3720, decode.d1.loss_cls: 0.9100, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2931, decode.d2.loss_cls: 0.8592, decode.d2.loss_mask: 0.7863, decode.d2.loss_dice: 1.2467, decode.d3.loss_cls: 0.8487, decode.d3.loss_mask: 0.7761, decode.d3.loss_dice: 1.2185, decode.d4.loss_cls: 0.8347, decode.d4.loss_mask: 0.7752, decode.d4.loss_dice: 1.2225, decode.d5.loss_cls: 0.8387, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.2183, decode.d6.loss_cls: 0.8310, decode.d6.loss_mask: 0.7700, decode.d6.loss_dice: 1.2058, decode.d7.loss_cls: 0.8280, decode.d7.loss_mask: 0.7757, decode.d7.loss_dice: 1.2086, decode.d8.loss_cls: 0.8228, decode.d8.loss_mask: 0.7741, decode.d8.loss_dice: 1.2114, loss: 30.4549 2022-04-29 20:29:01,703 - mmseg - INFO - Iter [47150/80000] lr: 5.896e-07, eta: 16:49:28, time: 1.771, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8484, decode.loss_mask: 0.7616, decode.loss_dice: 1.2213, decode.d0.loss_cls: 2.7206, decode.d0.loss_mask: 0.7724, decode.d0.loss_dice: 1.4264, decode.d1.loss_cls: 0.9369, decode.d1.loss_mask: 0.8001, decode.d1.loss_dice: 1.3336, decode.d2.loss_cls: 0.8846, decode.d2.loss_mask: 0.7825, decode.d2.loss_dice: 1.2622, decode.d3.loss_cls: 0.8649, decode.d3.loss_mask: 0.7717, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 0.8568, decode.d4.loss_mask: 0.7769, decode.d4.loss_dice: 1.2443, decode.d5.loss_cls: 0.8574, decode.d5.loss_mask: 0.7711, decode.d5.loss_dice: 1.2342, decode.d6.loss_cls: 0.8503, decode.d6.loss_mask: 0.7629, decode.d6.loss_dice: 1.2257, decode.d7.loss_cls: 0.8494, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.2241, decode.d8.loss_cls: 0.8451, decode.d8.loss_mask: 0.7640, decode.d8.loss_dice: 1.2275, loss: 30.8798 2022-04-29 20:30:29,429 - mmseg - INFO - Iter [47200/80000] lr: 5.887e-07, eta: 16:47:53, time: 1.755, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8094, decode.loss_mask: 0.7518, decode.loss_dice: 1.1573, decode.d0.loss_cls: 2.5865, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3432, decode.d1.loss_cls: 0.8901, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2511, decode.d2.loss_cls: 0.8333, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.2004, decode.d3.loss_cls: 0.8250, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1748, decode.d4.loss_cls: 0.8112, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.1813, decode.d5.loss_cls: 0.8145, decode.d5.loss_mask: 0.7595, decode.d5.loss_dice: 1.1558, decode.d6.loss_cls: 0.8096, decode.d6.loss_mask: 0.7569, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.8006, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.1531, decode.d8.loss_cls: 0.8029, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1556, loss: 29.5432 2022-04-29 20:31:57,644 - mmseg - INFO - Iter [47250/80000] lr: 5.878e-07, eta: 16:46:18, time: 1.764, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7790, decode.loss_mask: 0.7424, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.6179, decode.d0.loss_mask: 0.7375, decode.d0.loss_dice: 1.3450, decode.d1.loss_cls: 0.8681, decode.d1.loss_mask: 0.7678, decode.d1.loss_dice: 1.2663, decode.d2.loss_cls: 0.8105, decode.d2.loss_mask: 0.7574, decode.d2.loss_dice: 1.2201, decode.d3.loss_cls: 0.8013, decode.d3.loss_mask: 0.7465, decode.d3.loss_dice: 1.2010, decode.d4.loss_cls: 0.7929, decode.d4.loss_mask: 0.7399, decode.d4.loss_dice: 1.1879, decode.d5.loss_cls: 0.7835, decode.d5.loss_mask: 0.7444, decode.d5.loss_dice: 1.1802, decode.d6.loss_cls: 0.7776, decode.d6.loss_mask: 0.7423, decode.d6.loss_dice: 1.1828, decode.d7.loss_cls: 0.7788, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.1798, decode.d8.loss_cls: 0.7779, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1741, loss: 29.3655 2022-04-29 20:33:26,314 - mmseg - INFO - Iter [47300/80000] lr: 5.869e-07, eta: 16:44:43, time: 1.773, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7840, decode.loss_mask: 0.7564, decode.loss_dice: 1.1640, decode.d0.loss_cls: 2.5938, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3495, decode.d1.loss_cls: 0.8733, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2694, decode.d2.loss_cls: 0.8136, decode.d2.loss_mask: 0.7736, decode.d2.loss_dice: 1.2143, decode.d3.loss_cls: 0.7984, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.1893, decode.d4.loss_cls: 0.7998, decode.d4.loss_mask: 0.7620, decode.d4.loss_dice: 1.1873, decode.d5.loss_cls: 0.7907, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.1749, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1642, decode.d7.loss_cls: 0.7837, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1704, decode.d8.loss_cls: 0.7834, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1713, loss: 29.5267 2022-04-29 20:34:55,158 - mmseg - INFO - Iter [47350/80000] lr: 5.860e-07, eta: 16:43:09, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8158, decode.loss_mask: 0.7579, decode.loss_dice: 1.1736, decode.d0.loss_cls: 2.6181, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.3619, decode.d1.loss_cls: 0.8987, decode.d1.loss_mask: 0.7886, decode.d1.loss_dice: 1.2798, decode.d2.loss_cls: 0.8353, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.2224, decode.d3.loss_cls: 0.8244, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.1980, decode.d4.loss_cls: 0.8170, decode.d4.loss_mask: 0.7684, decode.d4.loss_dice: 1.1932, decode.d5.loss_cls: 0.8220, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.8160, decode.d6.loss_mask: 0.7632, decode.d6.loss_dice: 1.1826, decode.d7.loss_cls: 0.8198, decode.d7.loss_mask: 0.7589, decode.d7.loss_dice: 1.1821, decode.d8.loss_cls: 0.8166, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.1769, loss: 29.8998 2022-04-29 20:36:24,119 - mmseg - INFO - Iter [47400/80000] lr: 5.851e-07, eta: 16:41:34, time: 1.777, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7938, decode.loss_mask: 0.7778, decode.loss_dice: 1.1645, decode.d0.loss_cls: 2.6070, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.3407, decode.d1.loss_cls: 0.8728, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.8071, decode.d2.loss_mask: 0.7915, decode.d2.loss_dice: 1.2103, decode.d3.loss_cls: 0.7965, decode.d3.loss_mask: 0.7894, decode.d3.loss_dice: 1.1808, decode.d4.loss_cls: 0.7944, decode.d4.loss_mask: 0.7860, decode.d4.loss_dice: 1.1769, decode.d5.loss_cls: 0.7936, decode.d5.loss_mask: 0.7793, decode.d5.loss_dice: 1.1783, decode.d6.loss_cls: 0.7934, decode.d6.loss_mask: 0.7769, decode.d6.loss_dice: 1.1652, decode.d7.loss_cls: 0.7909, decode.d7.loss_mask: 0.7705, decode.d7.loss_dice: 1.1684, decode.d8.loss_cls: 0.7857, decode.d8.loss_mask: 0.7789, decode.d8.loss_dice: 1.1664, loss: 29.6810 2022-04-29 20:37:53,498 - mmseg - INFO - Iter [47450/80000] lr: 5.842e-07, eta: 16:40:00, time: 1.789, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8094, decode.loss_mask: 0.7753, decode.loss_dice: 1.2037, decode.d0.loss_cls: 2.6458, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.3752, decode.d1.loss_cls: 0.9047, decode.d1.loss_mask: 0.8022, decode.d1.loss_dice: 1.2967, decode.d2.loss_cls: 0.8511, decode.d2.loss_mask: 0.7783, decode.d2.loss_dice: 1.2451, decode.d3.loss_cls: 0.8301, decode.d3.loss_mask: 0.7788, decode.d3.loss_dice: 1.2286, decode.d4.loss_cls: 0.8190, decode.d4.loss_mask: 0.7825, decode.d4.loss_dice: 1.2239, decode.d5.loss_cls: 0.8140, decode.d5.loss_mask: 0.7817, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8091, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.2080, decode.d7.loss_cls: 0.8119, decode.d7.loss_mask: 0.7777, decode.d7.loss_dice: 1.2018, decode.d8.loss_cls: 0.8052, decode.d8.loss_mask: 0.7776, decode.d8.loss_dice: 1.2104, loss: 30.3228 2022-04-29 20:39:22,692 - mmseg - INFO - Iter [47500/80000] lr: 5.833e-07, eta: 16:38:26, time: 1.783, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7838, decode.loss_mask: 0.7748, decode.loss_dice: 1.1932, decode.d0.loss_cls: 2.5793, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3488, decode.d1.loss_cls: 0.8648, decode.d1.loss_mask: 0.8069, decode.d1.loss_dice: 1.2912, decode.d2.loss_cls: 0.8121, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2408, decode.d3.loss_cls: 0.7918, decode.d3.loss_mask: 0.7830, decode.d3.loss_dice: 1.2133, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7778, decode.d4.loss_dice: 1.2138, decode.d5.loss_cls: 0.7932, decode.d5.loss_mask: 0.7761, decode.d5.loss_dice: 1.2063, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7736, decode.d6.loss_dice: 1.1970, decode.d7.loss_cls: 0.7841, decode.d7.loss_mask: 0.7736, decode.d7.loss_dice: 1.1911, decode.d8.loss_cls: 0.7868, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.1892, loss: 29.8734 2022-04-29 20:40:52,784 - mmseg - INFO - Iter [47550/80000] lr: 5.824e-07, eta: 16:36:53, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8207, decode.loss_mask: 0.7536, decode.loss_dice: 1.2015, decode.d0.loss_cls: 2.6817, decode.d0.loss_mask: 0.7544, decode.d0.loss_dice: 1.3852, decode.d1.loss_cls: 0.9238, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.2876, decode.d2.loss_cls: 0.8697, decode.d2.loss_mask: 0.7617, decode.d2.loss_dice: 1.2401, decode.d3.loss_cls: 0.8511, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.8407, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.2097, decode.d5.loss_cls: 0.8320, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.2081, decode.d6.loss_cls: 0.8217, decode.d6.loss_mask: 0.7483, decode.d6.loss_dice: 1.2037, decode.d7.loss_cls: 0.8260, decode.d7.loss_mask: 0.7525, decode.d7.loss_dice: 1.1992, decode.d8.loss_cls: 0.8180, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.2012, loss: 30.1959 2022-04-29 20:42:23,262 - mmseg - INFO - Iter [47600/80000] lr: 5.815e-07, eta: 16:35:19, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8132, decode.loss_mask: 0.7770, decode.loss_dice: 1.2120, decode.d0.loss_cls: 2.6340, decode.d0.loss_mask: 0.7923, decode.d0.loss_dice: 1.3762, decode.d1.loss_cls: 0.9080, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.3062, decode.d2.loss_cls: 0.8401, decode.d2.loss_mask: 0.7996, decode.d2.loss_dice: 1.2494, decode.d3.loss_cls: 0.8387, decode.d3.loss_mask: 0.7891, decode.d3.loss_dice: 1.2232, decode.d4.loss_cls: 0.8282, decode.d4.loss_mask: 0.7864, decode.d4.loss_dice: 1.2248, decode.d5.loss_cls: 0.8169, decode.d5.loss_mask: 0.7838, decode.d5.loss_dice: 1.2148, decode.d6.loss_cls: 0.8130, decode.d6.loss_mask: 0.7744, decode.d6.loss_dice: 1.2120, decode.d7.loss_cls: 0.8081, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.2075, decode.d8.loss_cls: 0.8131, decode.d8.loss_mask: 0.7771, decode.d8.loss_dice: 1.2121, loss: 30.4185 2022-04-29 20:43:52,295 - mmseg - INFO - Iter [47650/80000] lr: 5.806e-07, eta: 16:33:45, time: 1.780, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7936, decode.loss_mask: 0.7661, decode.loss_dice: 1.1817, decode.d0.loss_cls: 2.5892, decode.d0.loss_mask: 0.7789, decode.d0.loss_dice: 1.3481, decode.d1.loss_cls: 0.8714, decode.d1.loss_mask: 0.8064, decode.d1.loss_dice: 1.2879, decode.d2.loss_cls: 0.8203, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.2317, decode.d3.loss_cls: 0.8097, decode.d3.loss_mask: 0.7758, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.8027, decode.d4.loss_mask: 0.7737, decode.d4.loss_dice: 1.2023, decode.d5.loss_cls: 0.8012, decode.d5.loss_mask: 0.7702, decode.d5.loss_dice: 1.1925, decode.d6.loss_cls: 0.7972, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1879, decode.d7.loss_cls: 0.7924, decode.d7.loss_mask: 0.7676, decode.d7.loss_dice: 1.1923, decode.d8.loss_cls: 0.7925, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.1910, loss: 29.8480 2022-04-29 20:45:22,487 - mmseg - INFO - Iter [47700/80000] lr: 5.797e-07, eta: 16:32:12, time: 1.804, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7865, decode.loss_mask: 0.7687, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5774, decode.d0.loss_mask: 0.7773, decode.d0.loss_dice: 1.3467, decode.d1.loss_cls: 0.8657, decode.d1.loss_mask: 0.8057, decode.d1.loss_dice: 1.2783, decode.d2.loss_cls: 0.8144, decode.d2.loss_mask: 0.7852, decode.d2.loss_dice: 1.2259, decode.d3.loss_cls: 0.8029, decode.d3.loss_mask: 0.7798, decode.d3.loss_dice: 1.1976, decode.d4.loss_cls: 0.7996, decode.d4.loss_mask: 0.7756, decode.d4.loss_dice: 1.1977, decode.d5.loss_cls: 0.7973, decode.d5.loss_mask: 0.7743, decode.d5.loss_dice: 1.1871, decode.d6.loss_cls: 0.7862, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.1772, decode.d7.loss_cls: 0.7852, decode.d7.loss_mask: 0.7752, decode.d7.loss_dice: 1.1799, decode.d8.loss_cls: 0.7864, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.1807, loss: 29.7349 2022-04-29 20:46:53,087 - mmseg - INFO - Iter [47750/80000] lr: 5.788e-07, eta: 16:30:38, time: 1.812, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8597, decode.loss_mask: 0.7694, decode.loss_dice: 1.2157, decode.d0.loss_cls: 2.7081, decode.d0.loss_mask: 0.7780, decode.d0.loss_dice: 1.4070, decode.d1.loss_cls: 0.9513, decode.d1.loss_mask: 0.8060, decode.d1.loss_dice: 1.3193, decode.d2.loss_cls: 0.8848, decode.d2.loss_mask: 0.7861, decode.d2.loss_dice: 1.2695, decode.d3.loss_cls: 0.8791, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.2361, decode.d4.loss_cls: 0.8734, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.2393, decode.d5.loss_cls: 0.8760, decode.d5.loss_mask: 0.7717, decode.d5.loss_dice: 1.2274, decode.d6.loss_cls: 0.8664, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.2134, decode.d7.loss_cls: 0.8637, decode.d7.loss_mask: 0.7728, decode.d7.loss_dice: 1.2180, decode.d8.loss_cls: 0.8612, decode.d8.loss_mask: 0.7709, decode.d8.loss_dice: 1.2182, loss: 30.9629 2022-04-29 20:48:22,564 - mmseg - INFO - Iter [47800/80000] lr: 5.779e-07, eta: 16:29:04, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7939, decode.loss_mask: 0.7640, decode.loss_dice: 1.1724, decode.d0.loss_cls: 2.6300, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 0.8828, decode.d1.loss_mask: 0.8019, decode.d1.loss_dice: 1.2651, decode.d2.loss_cls: 0.8259, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.2155, decode.d3.loss_cls: 0.8130, decode.d3.loss_mask: 0.7750, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.8075, decode.d4.loss_mask: 0.7731, decode.d4.loss_dice: 1.1933, decode.d5.loss_cls: 0.8087, decode.d5.loss_mask: 0.7662, decode.d5.loss_dice: 1.1818, decode.d6.loss_cls: 0.8012, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.1718, decode.d7.loss_cls: 0.7997, decode.d7.loss_mask: 0.7634, decode.d7.loss_dice: 1.1743, decode.d8.loss_cls: 0.8019, decode.d8.loss_mask: 0.7615, decode.d8.loss_dice: 1.1731, loss: 29.7712 2022-04-29 20:49:52,258 - mmseg - INFO - Iter [47850/80000] lr: 5.770e-07, eta: 16:27:31, time: 1.794, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7923, decode.loss_mask: 0.7687, decode.loss_dice: 1.1505, decode.d0.loss_cls: 2.5734, decode.d0.loss_mask: 0.7745, decode.d0.loss_dice: 1.3390, decode.d1.loss_cls: 0.8870, decode.d1.loss_mask: 0.8067, decode.d1.loss_dice: 1.2606, decode.d2.loss_cls: 0.8314, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.1987, decode.d3.loss_cls: 0.8177, decode.d3.loss_mask: 0.7738, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 0.8041, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.1808, decode.d5.loss_cls: 0.8065, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.1737, decode.d6.loss_cls: 0.7989, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.1616, decode.d7.loss_cls: 0.7973, decode.d7.loss_mask: 0.7714, decode.d7.loss_dice: 1.1580, decode.d8.loss_cls: 0.7914, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.1554, loss: 29.6259 2022-04-29 20:51:22,265 - mmseg - INFO - Iter [47900/80000] lr: 5.761e-07, eta: 16:25:57, time: 1.800, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7788, decode.loss_mask: 0.7607, decode.loss_dice: 1.1867, decode.d0.loss_cls: 2.5663, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.3717, decode.d1.loss_cls: 0.8568, decode.d1.loss_mask: 0.7951, decode.d1.loss_dice: 1.2951, decode.d2.loss_cls: 0.8048, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.2391, decode.d3.loss_cls: 0.7927, decode.d3.loss_mask: 0.7765, decode.d3.loss_dice: 1.2119, decode.d4.loss_cls: 0.7856, decode.d4.loss_mask: 0.7670, decode.d4.loss_dice: 1.2080, decode.d5.loss_cls: 0.7818, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.1984, decode.d6.loss_cls: 0.7812, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1839, decode.d7.loss_cls: 0.7807, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.1854, decode.d8.loss_cls: 0.7820, decode.d8.loss_mask: 0.7617, decode.d8.loss_dice: 1.1845, loss: 29.6761 2022-04-29 20:52:53,085 - mmseg - INFO - Iter [47950/80000] lr: 5.752e-07, eta: 16:24:24, time: 1.815, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8199, decode.loss_mask: 0.7881, decode.loss_dice: 1.2062, decode.d0.loss_cls: 2.6006, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.3854, decode.d1.loss_cls: 0.8943, decode.d1.loss_mask: 0.8180, decode.d1.loss_dice: 1.3000, decode.d2.loss_cls: 0.8411, decode.d2.loss_mask: 0.7969, decode.d2.loss_dice: 1.2479, decode.d3.loss_cls: 0.8331, decode.d3.loss_mask: 0.7918, decode.d3.loss_dice: 1.2262, decode.d4.loss_cls: 0.8270, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.2236, decode.d5.loss_cls: 0.8191, decode.d5.loss_mask: 0.7874, decode.d5.loss_dice: 1.2279, decode.d6.loss_cls: 0.8186, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2171, decode.d7.loss_cls: 0.8255, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.2103, decode.d8.loss_cls: 0.8177, decode.d8.loss_mask: 0.7808, decode.d8.loss_dice: 1.2119, loss: 30.4664 2022-04-29 20:54:23,678 - mmseg - INFO - Saving checkpoint at 48000 iterations 2022-04-29 20:54:42,356 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 20:54:42,368 - mmseg - INFO - Iter [48000/80000] lr: 5.743e-07, eta: 16:23:03, time: 2.185, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8062, decode.loss_mask: 0.7514, decode.loss_dice: 1.1977, decode.d0.loss_cls: 2.6130, decode.d0.loss_mask: 0.7585, decode.d0.loss_dice: 1.3855, decode.d1.loss_cls: 0.9031, decode.d1.loss_mask: 0.7782, decode.d1.loss_dice: 1.2780, decode.d2.loss_cls: 0.8389, decode.d2.loss_mask: 0.7624, decode.d2.loss_dice: 1.2388, decode.d3.loss_cls: 0.8278, decode.d3.loss_mask: 0.7506, decode.d3.loss_dice: 1.2084, decode.d4.loss_cls: 0.8276, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.2018, decode.d5.loss_cls: 0.8140, decode.d5.loss_mask: 0.7527, decode.d5.loss_dice: 1.2061, decode.d6.loss_cls: 0.8083, decode.d6.loss_mask: 0.7522, decode.d6.loss_dice: 1.1929, decode.d7.loss_cls: 0.8063, decode.d7.loss_mask: 0.7531, decode.d7.loss_dice: 1.1924, decode.d8.loss_cls: 0.8114, decode.d8.loss_mask: 0.7482, decode.d8.loss_dice: 1.1978, loss: 29.9153 2022-04-29 20:59:39,927 - mmseg - INFO - per class results: 2022-04-29 20:59:40,005 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 88.0 | 94.41 | | bicycle | 76.42 | 87.96 | | car | 65.9 | 84.04 | | motorcycle | 86.14 | 90.99 | | airplane | 84.82 | 90.96 | | bus | 85.56 | 89.48 | | train | 85.24 | 96.32 | | truck | 64.28 | 80.03 | | boat | 70.81 | 86.84 | | traffic light | 73.36 | 89.79 | | fire hydrant | 91.44 | 96.29 | | stop sign | 92.77 | 97.7 | | parking meter | 77.35 | 88.39 | | bench | 56.87 | 76.24 | | bird | 86.11 | 92.04 | | cat | 85.79 | 92.56 | | dog | 82.07 | 90.26 | | horse | 86.62 | 94.32 | | sheep | 88.82 | 95.83 | | cow | 88.59 | 92.62 | | elephant | 93.41 | 96.48 | | bear | 92.46 | 95.49 | | zebra | 91.53 | 94.44 | | giraffe | 88.37 | 94.02 | | backpack | 42.62 | 72.88 | | umbrella | 86.95 | 93.3 | | handbag | 42.11 | 73.04 | | tie | 11.49 | 23.39 | | suitcase | 82.48 | 94.61 | | frisbee | 78.52 | 95.14 | | skis | 60.32 | 76.08 | | snowboard | 73.7 | 82.63 | | sports ball | 65.91 | 79.05 | | kite | 74.12 | 86.43 | | baseball bat | 62.9 | 82.02 | | baseball glove | 72.39 | 92.99 | | skateboard | 84.97 | 91.09 | | surfboard | 84.43 | 91.72 | | tennis racket | 89.96 | 95.8 | | bottle | 51.33 | 65.07 | | wine glass | 60.73 | 84.22 | | cup | 63.33 | 80.34 | | fork | 47.4 | 59.12 | | knife | 43.86 | 59.92 | | spoon | 40.42 | 62.36 | | bowl | 52.1 | 70.31 | | banana | 70.89 | 92.95 | | apple | 55.59 | 74.91 | | sandwich | 52.27 | 66.7 | | orange | 78.28 | 86.03 | | broccoli | 59.6 | 76.85 | | carrot | 59.21 | 74.12 | | hot dog | 61.23 | 73.61 | | pizza | 75.57 | 90.05 | | donut | 73.86 | 89.24 | | cake | 71.45 | 84.52 | | chair | 55.84 | 73.71 | | couch | 60.17 | 79.98 | | potted plant | 40.59 | 65.39 | | bed | 68.28 | 85.05 | | dining table | 46.44 | 78.27 | | toilet | 83.74 | 95.06 | | tv | 76.14 | 86.22 | | laptop | 79.02 | 91.55 | | mouse | 81.72 | 90.07 | | remote | 62.55 | 78.72 | | keyboard | 70.8 | 85.84 | | cell phone | 75.44 | 89.0 | | microwave | 70.86 | 83.44 | | oven | 60.21 | 88.61 | | toaster | 2.74 | 2.95 | | sink | 64.17 | 80.85 | | refrigerator | 76.98 | 91.71 | | book | 54.04 | 78.4 | | clock | 72.42 | 83.97 | | vase | 62.95 | 87.82 | | scissors | 82.16 | 93.09 | | teddy bear | 80.98 | 92.56 | | hair drier | 56.73 | 58.27 | | toothbrush | 62.98 | 83.1 | | banner | 37.46 | 59.86 | | blanket | 3.05 | 3.59 | | branch | 19.15 | 27.0 | | bridge | 42.2 | 60.66 | | building-other | 52.1 | 67.88 | | bush | 35.65 | 50.0 | | cabinet | 56.99 | 75.68 | | cage | 16.51 | 21.83 | | cardboard | 46.13 | 60.1 | | carpet | 52.88 | 67.3 | | ceiling-other | 65.12 | 81.3 | | ceiling-tile | 0.0 | 0.0 | | cloth | 4.27 | 4.39 | | clothes | 22.57 | 31.68 | | clouds | 49.37 | 72.02 | | counter | 27.72 | 63.94 | | cupboard | 0.0 | 0.0 | | curtain | 68.98 | 78.31 | | desk-stuff | 42.91 | 55.97 | | dirt | 40.59 | 60.85 | | door-stuff | 46.83 | 77.91 | | fence | 33.66 | 59.79 | | floor-marble | 0.5 | 0.5 | | floor-other | 24.87 | 35.04 | | floor-stone | 5.59 | 7.7 | | floor-tile | 65.63 | 76.61 | | floor-wood | 63.24 | 80.47 | | flower | 43.29 | 57.21 | | fog | 8.26 | 9.49 | | food-other | 33.72 | 42.8 | | fruit | 45.09 | 76.74 | | furniture-other | 20.36 | 27.77 | | grass | 70.28 | 81.52 | | gravel | 31.07 | 42.17 | | ground-other | 8.87 | 12.97 | | hill | 15.67 | 20.76 | | house | 25.84 | 31.38 | | leaves | 22.82 | 26.81 | | light | 41.97 | 58.87 | | mat | 0.0 | 0.0 | | metal | 36.33 | 48.29 | | mirror-stuff | 59.37 | 77.38 | | moss | 0.0 | 0.0 | | mountain | 54.68 | 70.65 | | mud | 0.0 | 0.0 | | napkin | 8.8 | 10.33 | | net | 48.74 | 66.26 | | paper | 30.92 | 43.41 | | pavement | 53.71 | 74.1 | | pillow | 24.51 | 44.71 | | plant-other | 20.68 | 39.03 | | plastic | 27.92 | 38.45 | | platform | 34.02 | 47.37 | | playingfield | 69.72 | 90.79 | | railing | 9.58 | 18.66 | | railroad | 62.56 | 81.9 | | river | 48.37 | 58.78 | | road | 67.47 | 81.36 | | rock | 43.11 | 64.84 | | roof | 22.33 | 32.97 | | rug | 39.08 | 68.14 | | salad | 0.0 | 0.0 | | sand | 66.6 | 73.06 | | sea | 84.0 | 89.98 | | shelf | 38.41 | 49.97 | | sky-other | 69.15 | 81.66 | | skyscraper | 37.98 | 56.59 | | snow | 91.8 | 95.14 | | solid-other | 0.0 | 0.0 | | stairs | 31.26 | 59.66 | | stone | 8.16 | 13.52 | | straw | 33.8 | 51.75 | | structural-other | 0.9 | 0.95 | | table | 13.47 | 16.23 | | tent | 9.42 | 11.68 | | textile-other | 15.59 | 27.06 | | towel | 37.95 | 46.47 | | tree | 74.81 | 87.61 | | vegetable | 42.94 | 55.98 | | wall-brick | 50.69 | 70.95 | | wall-concrete | 62.49 | 80.19 | | wall-other | 22.95 | 37.48 | | wall-panel | 5.35 | 6.2 | | wall-stone | 33.63 | 43.97 | | wall-tile | 72.58 | 87.89 | | wall-wood | 43.73 | 55.05 | | water-other | 26.53 | 48.34 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.01 | 63.07 | | window-other | 49.09 | 72.44 | | wood | 28.92 | 44.25 | +------------------+-------+-------+ 2022-04-29 20:59:40,005 - mmseg - INFO - Summary: 2022-04-29 20:59:40,005 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.04 | 50.99 | 63.66 | +-------+-------+-------+ 2022-04-29 20:59:40,036 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_32000.pth was removed 2022-04-29 21:00:09,794 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2022-04-29 21:00:09,809 - mmseg - INFO - Best mIoU is 0.5099 at 48000 iter. 2022-04-29 21:00:09,842 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 21:00:09,843 - mmseg - INFO - Iter(val) [313] aAcc: 0.7304, mIoU: 0.5099, mAcc: 0.6366, IoU.person: 0.8800, IoU.bicycle: 0.7642, IoU.car: 0.6590, IoU.motorcycle: 0.8614, IoU.airplane: 0.8482, IoU.bus: 0.8556, IoU.train: 0.8524, IoU.truck: 0.6428, IoU.boat: 0.7081, IoU.traffic light: 0.7336, IoU.fire hydrant: 0.9144, IoU.stop sign: 0.9277, IoU.parking meter: 0.7735, IoU.bench: 0.5687, IoU.bird: 0.8611, IoU.cat: 0.8579, IoU.dog: 0.8207, IoU.horse: 0.8662, IoU.sheep: 0.8882, IoU.cow: 0.8859, IoU.elephant: 0.9341, IoU.bear: 0.9246, IoU.zebra: 0.9153, IoU.giraffe: 0.8837, IoU.backpack: 0.4262, IoU.umbrella: 0.8695, IoU.handbag: 0.4211, IoU.tie: 0.1149, IoU.suitcase: 0.8248, IoU.frisbee: 0.7852, IoU.skis: 0.6032, IoU.snowboard: 0.7370, IoU.sports ball: 0.6591, IoU.kite: 0.7412, IoU.baseball bat: 0.6290, IoU.baseball glove: 0.7239, IoU.skateboard: 0.8497, IoU.surfboard: 0.8443, IoU.tennis racket: 0.8996, IoU.bottle: 0.5133, IoU.wine glass: 0.6073, IoU.cup: 0.6333, IoU.fork: 0.4740, IoU.knife: 0.4386, IoU.spoon: 0.4042, IoU.bowl: 0.5210, IoU.banana: 0.7089, IoU.apple: 0.5559, IoU.sandwich: 0.5227, IoU.orange: 0.7828, IoU.broccoli: 0.5960, IoU.carrot: 0.5921, IoU.hot dog: 0.6123, IoU.pizza: 0.7557, IoU.donut: 0.7386, IoU.cake: 0.7145, IoU.chair: 0.5584, IoU.couch: 0.6017, IoU.potted plant: 0.4059, IoU.bed: 0.6828, IoU.dining table: 0.4644, IoU.toilet: 0.8374, IoU.tv: 0.7614, IoU.laptop: 0.7902, IoU.mouse: 0.8172, IoU.remote: 0.6255, IoU.keyboard: 0.7080, IoU.cell phone: 0.7544, IoU.microwave: 0.7086, IoU.oven: 0.6021, IoU.toaster: 0.0274, IoU.sink: 0.6417, IoU.refrigerator: 0.7698, IoU.book: 0.5404, IoU.clock: 0.7242, IoU.vase: 0.6295, IoU.scissors: 0.8216, IoU.teddy bear: 0.8098, IoU.hair drier: 0.5673, IoU.toothbrush: 0.6298, IoU.banner: 0.3746, IoU.blanket: 0.0305, IoU.branch: 0.1915, IoU.bridge: 0.4220, IoU.building-other: 0.5210, IoU.bush: 0.3565, IoU.cabinet: 0.5699, IoU.cage: 0.1651, IoU.cardboard: 0.4613, IoU.carpet: 0.5288, IoU.ceiling-other: 0.6512, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0427, IoU.clothes: 0.2257, IoU.clouds: 0.4937, IoU.counter: 0.2772, IoU.cupboard: 0.0000, IoU.curtain: 0.6898, IoU.desk-stuff: 0.4291, IoU.dirt: 0.4059, IoU.door-stuff: 0.4683, IoU.fence: 0.3366, IoU.floor-marble: 0.0050, IoU.floor-other: 0.2487, IoU.floor-stone: 0.0559, IoU.floor-tile: 0.6563, IoU.floor-wood: 0.6324, IoU.flower: 0.4329, IoU.fog: 0.0826, IoU.food-other: 0.3372, IoU.fruit: 0.4509, IoU.furniture-other: 0.2036, IoU.grass: 0.7028, IoU.gravel: 0.3107, IoU.ground-other: 0.0887, IoU.hill: 0.1567, IoU.house: 0.2584, IoU.leaves: 0.2282, IoU.light: 0.4197, IoU.mat: 0.0000, IoU.metal: 0.3633, IoU.mirror-stuff: 0.5937, IoU.moss: 0.0000, IoU.mountain: 0.5468, IoU.mud: 0.0000, IoU.napkin: 0.0880, IoU.net: 0.4874, IoU.paper: 0.3092, IoU.pavement: 0.5371, IoU.pillow: 0.2451, IoU.plant-other: 0.2068, IoU.plastic: 0.2792, IoU.platform: 0.3402, IoU.playingfield: 0.6972, IoU.railing: 0.0958, IoU.railroad: 0.6256, IoU.river: 0.4837, IoU.road: 0.6747, IoU.rock: 0.4311, IoU.roof: 0.2233, IoU.rug: 0.3908, IoU.salad: 0.0000, IoU.sand: 0.6660, IoU.sea: 0.8400, IoU.shelf: 0.3841, IoU.sky-other: 0.6915, IoU.skyscraper: 0.3798, IoU.snow: 0.9180, IoU.solid-other: 0.0000, IoU.stairs: 0.3126, IoU.stone: 0.0816, IoU.straw: 0.3380, IoU.structural-other: 0.0090, IoU.table: 0.1347, IoU.tent: 0.0942, IoU.textile-other: 0.1559, IoU.towel: 0.3795, IoU.tree: 0.7481, IoU.vegetable: 0.4294, IoU.wall-brick: 0.5069, IoU.wall-concrete: 0.6249, IoU.wall-other: 0.2295, IoU.wall-panel: 0.0535, IoU.wall-stone: 0.3363, IoU.wall-tile: 0.7258, IoU.wall-wood: 0.4373, IoU.water-other: 0.2653, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5301, IoU.window-other: 0.4909, IoU.wood: 0.2892, Acc.person: 0.9441, Acc.bicycle: 0.8796, Acc.car: 0.8404, Acc.motorcycle: 0.9099, Acc.airplane: 0.9096, Acc.bus: 0.8948, Acc.train: 0.9632, Acc.truck: 0.8003, Acc.boat: 0.8684, Acc.traffic light: 0.8979, Acc.fire hydrant: 0.9629, Acc.stop sign: 0.9770, Acc.parking meter: 0.8839, Acc.bench: 0.7624, Acc.bird: 0.9204, Acc.cat: 0.9256, Acc.dog: 0.9026, Acc.horse: 0.9432, Acc.sheep: 0.9583, Acc.cow: 0.9262, Acc.elephant: 0.9648, Acc.bear: 0.9549, Acc.zebra: 0.9444, Acc.giraffe: 0.9402, Acc.backpack: 0.7288, Acc.umbrella: 0.9330, Acc.handbag: 0.7304, Acc.tie: 0.2339, Acc.suitcase: 0.9461, Acc.frisbee: 0.9514, Acc.skis: 0.7608, Acc.snowboard: 0.8263, Acc.sports ball: 0.7905, Acc.kite: 0.8643, Acc.baseball bat: 0.8202, Acc.baseball glove: 0.9299, Acc.skateboard: 0.9109, Acc.surfboard: 0.9172, Acc.tennis racket: 0.9580, Acc.bottle: 0.6507, Acc.wine glass: 0.8422, Acc.cup: 0.8034, Acc.fork: 0.5912, Acc.knife: 0.5992, Acc.spoon: 0.6236, Acc.bowl: 0.7031, Acc.banana: 0.9295, Acc.apple: 0.7491, Acc.sandwich: 0.6670, Acc.orange: 0.8603, Acc.broccoli: 0.7685, Acc.carrot: 0.7412, Acc.hot dog: 0.7361, Acc.pizza: 0.9005, Acc.donut: 0.8924, Acc.cake: 0.8452, Acc.chair: 0.7371, Acc.couch: 0.7998, Acc.potted plant: 0.6539, Acc.bed: 0.8505, Acc.dining table: 0.7827, Acc.toilet: 0.9506, Acc.tv: 0.8622, Acc.laptop: 0.9155, Acc.mouse: 0.9007, Acc.remote: 0.7872, Acc.keyboard: 0.8584, Acc.cell phone: 0.8900, Acc.microwave: 0.8344, Acc.oven: 0.8861, Acc.toaster: 0.0295, Acc.sink: 0.8085, Acc.refrigerator: 0.9171, Acc.book: 0.7840, Acc.clock: 0.8397, Acc.vase: 0.8782, Acc.scissors: 0.9309, Acc.teddy bear: 0.9256, Acc.hair drier: 0.5827, Acc.toothbrush: 0.8310, Acc.banner: 0.5986, Acc.blanket: 0.0359, Acc.branch: 0.2700, Acc.bridge: 0.6066, Acc.building-other: 0.6788, Acc.bush: 0.5000, Acc.cabinet: 0.7568, Acc.cage: 0.2183, Acc.cardboard: 0.6010, Acc.carpet: 0.6730, Acc.ceiling-other: 0.8130, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0439, Acc.clothes: 0.3168, Acc.clouds: 0.7202, Acc.counter: 0.6394, Acc.cupboard: 0.0000, Acc.curtain: 0.7831, Acc.desk-stuff: 0.5597, Acc.dirt: 0.6085, Acc.door-stuff: 0.7791, Acc.fence: 0.5979, Acc.floor-marble: 0.0050, Acc.floor-other: 0.3504, Acc.floor-stone: 0.0770, Acc.floor-tile: 0.7661, Acc.floor-wood: 0.8047, Acc.flower: 0.5721, Acc.fog: 0.0949, Acc.food-other: 0.4280, Acc.fruit: 0.7674, Acc.furniture-other: 0.2777, Acc.grass: 0.8152, Acc.gravel: 0.4217, Acc.ground-other: 0.1297, Acc.hill: 0.2076, Acc.house: 0.3138, Acc.leaves: 0.2681, Acc.light: 0.5887, Acc.mat: 0.0000, Acc.metal: 0.4829, Acc.mirror-stuff: 0.7738, Acc.moss: 0.0000, Acc.mountain: 0.7065, Acc.mud: 0.0000, Acc.napkin: 0.1033, Acc.net: 0.6626, Acc.paper: 0.4341, Acc.pavement: 0.7410, Acc.pillow: 0.4471, Acc.plant-other: 0.3903, Acc.plastic: 0.3845, Acc.platform: 0.4737, Acc.playingfield: 0.9079, Acc.railing: 0.1866, Acc.railroad: 0.8190, Acc.river: 0.5878, Acc.road: 0.8136, Acc.rock: 0.6484, Acc.roof: 0.3297, Acc.rug: 0.6814, Acc.salad: 0.0000, Acc.sand: 0.7306, Acc.sea: 0.8998, Acc.shelf: 0.4997, Acc.sky-other: 0.8166, Acc.skyscraper: 0.5659, Acc.snow: 0.9514, Acc.solid-other: 0.0000, Acc.stairs: 0.5966, Acc.stone: 0.1352, Acc.straw: 0.5175, Acc.structural-other: 0.0095, Acc.table: 0.1623, Acc.tent: 0.1168, Acc.textile-other: 0.2706, Acc.towel: 0.4647, Acc.tree: 0.8761, Acc.vegetable: 0.5598, Acc.wall-brick: 0.7095, Acc.wall-concrete: 0.8019, Acc.wall-other: 0.3748, Acc.wall-panel: 0.0620, Acc.wall-stone: 0.4397, Acc.wall-tile: 0.8789, Acc.wall-wood: 0.5505, Acc.water-other: 0.4834, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6307, Acc.window-other: 0.7244, Acc.wood: 0.4425 2022-04-29 21:01:40,056 - mmseg - INFO - Iter [48050/80000] lr: 5.734e-07, eta: 16:25:07, time: 8.354, data_time: 6.567, memory: 64979, decode.loss_cls: 0.8079, decode.loss_mask: 0.7732, decode.loss_dice: 1.1987, decode.d0.loss_cls: 2.5677, decode.d0.loss_mask: 0.7880, decode.d0.loss_dice: 1.3838, decode.d1.loss_cls: 0.8948, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.3067, decode.d2.loss_cls: 0.8396, decode.d2.loss_mask: 0.7858, decode.d2.loss_dice: 1.2441, decode.d3.loss_cls: 0.8258, decode.d3.loss_mask: 0.7787, decode.d3.loss_dice: 1.2168, decode.d4.loss_cls: 0.8182, decode.d4.loss_mask: 0.7813, decode.d4.loss_dice: 1.2141, decode.d5.loss_cls: 0.8153, decode.d5.loss_mask: 0.7811, decode.d5.loss_dice: 1.2124, decode.d6.loss_cls: 0.8058, decode.d6.loss_mask: 0.7779, decode.d6.loss_dice: 1.2026, decode.d7.loss_cls: 0.8033, decode.d7.loss_mask: 0.7741, decode.d7.loss_dice: 1.2080, decode.d8.loss_cls: 0.8079, decode.d8.loss_mask: 0.7720, decode.d8.loss_dice: 1.1970, loss: 30.1890 2022-04-29 21:03:10,251 - mmseg - INFO - Iter [48100/80000] lr: 5.725e-07, eta: 16:23:33, time: 1.806, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8429, decode.loss_mask: 0.7407, decode.loss_dice: 1.2098, decode.d0.loss_cls: 2.6923, decode.d0.loss_mask: 0.7586, decode.d0.loss_dice: 1.3969, decode.d1.loss_cls: 0.9240, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.3045, decode.d2.loss_cls: 0.8656, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.2536, decode.d3.loss_cls: 0.8545, decode.d3.loss_mask: 0.7606, decode.d3.loss_dice: 1.2328, decode.d4.loss_cls: 0.8387, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.2314, decode.d5.loss_cls: 0.8412, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.2236, decode.d6.loss_cls: 0.8460, decode.d6.loss_mask: 0.7464, decode.d6.loss_dice: 1.2085, decode.d7.loss_cls: 0.8417, decode.d7.loss_mask: 0.7438, decode.d7.loss_dice: 1.2117, decode.d8.loss_cls: 0.8410, decode.d8.loss_mask: 0.7433, decode.d8.loss_dice: 1.2076, loss: 30.4296 2022-04-29 21:04:40,168 - mmseg - INFO - Iter [48150/80000] lr: 5.716e-07, eta: 16:21:59, time: 1.798, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7960, decode.loss_mask: 0.7959, decode.loss_dice: 1.1999, decode.d0.loss_cls: 2.5660, decode.d0.loss_mask: 0.8054, decode.d0.loss_dice: 1.3639, decode.d1.loss_cls: 0.8656, decode.d1.loss_mask: 0.8247, decode.d1.loss_dice: 1.2891, decode.d2.loss_cls: 0.8185, decode.d2.loss_mask: 0.8093, decode.d2.loss_dice: 1.2453, decode.d3.loss_cls: 0.8045, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.2231, decode.d4.loss_cls: 0.8001, decode.d4.loss_mask: 0.8026, decode.d4.loss_dice: 1.2245, decode.d5.loss_cls: 0.7990, decode.d5.loss_mask: 0.7994, decode.d5.loss_dice: 1.2080, decode.d6.loss_cls: 0.8001, decode.d6.loss_mask: 0.7943, decode.d6.loss_dice: 1.1941, decode.d7.loss_cls: 0.7990, decode.d7.loss_mask: 0.7956, decode.d7.loss_dice: 1.2018, decode.d8.loss_cls: 0.7939, decode.d8.loss_mask: 0.7957, decode.d8.loss_dice: 1.1998, loss: 30.2196 2022-04-29 21:06:09,671 - mmseg - INFO - Iter [48200/80000] lr: 5.707e-07, eta: 16:20:25, time: 1.790, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8037, decode.loss_mask: 0.7665, decode.loss_dice: 1.1744, decode.d0.loss_cls: 2.5682, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.3621, decode.d1.loss_cls: 0.8896, decode.d1.loss_mask: 0.8039, decode.d1.loss_dice: 1.2753, decode.d2.loss_cls: 0.8333, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.2279, decode.d3.loss_cls: 0.8128, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.2003, decode.d4.loss_cls: 0.8105, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.1938, decode.d5.loss_cls: 0.8121, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.1798, decode.d6.loss_cls: 0.8056, decode.d6.loss_mask: 0.7688, decode.d6.loss_dice: 1.1757, decode.d7.loss_cls: 0.8043, decode.d7.loss_mask: 0.7704, decode.d7.loss_dice: 1.1842, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.1745, loss: 29.8624 2022-04-29 21:07:39,088 - mmseg - INFO - Iter [48250/80000] lr: 5.698e-07, eta: 16:18:50, time: 1.788, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8115, decode.loss_mask: 0.7646, decode.loss_dice: 1.1559, decode.d0.loss_cls: 2.6460, decode.d0.loss_mask: 0.7751, decode.d0.loss_dice: 1.3355, decode.d1.loss_cls: 0.9188, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.2610, decode.d2.loss_cls: 0.8468, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.2032, decode.d3.loss_cls: 0.8341, decode.d3.loss_mask: 0.7713, decode.d3.loss_dice: 1.1829, decode.d4.loss_cls: 0.8253, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.1763, decode.d5.loss_cls: 0.8190, decode.d5.loss_mask: 0.7726, decode.d5.loss_dice: 1.1697, decode.d6.loss_cls: 0.8130, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.8165, decode.d7.loss_mask: 0.7628, decode.d7.loss_dice: 1.1590, decode.d8.loss_cls: 0.8150, decode.d8.loss_mask: 0.7654, decode.d8.loss_dice: 1.1601, loss: 29.8384 2022-04-29 21:09:08,002 - mmseg - INFO - Iter [48300/80000] lr: 5.690e-07, eta: 16:17:15, time: 1.778, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7771, decode.loss_mask: 0.7586, decode.loss_dice: 1.1788, decode.d0.loss_cls: 2.5863, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3434, decode.d1.loss_cls: 0.8663, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.2739, decode.d2.loss_cls: 0.8159, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2249, decode.d3.loss_cls: 0.8012, decode.d3.loss_mask: 0.7623, decode.d3.loss_dice: 1.1898, decode.d4.loss_cls: 0.7958, decode.d4.loss_mask: 0.7629, decode.d4.loss_dice: 1.1951, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1898, decode.d6.loss_cls: 0.7879, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1781, decode.d7.loss_cls: 0.7807, decode.d7.loss_mask: 0.7619, decode.d7.loss_dice: 1.1794, decode.d8.loss_cls: 0.7803, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1791, loss: 29.5678 2022-04-29 21:10:37,130 - mmseg - INFO - Iter [48350/80000] lr: 5.681e-07, eta: 16:15:41, time: 1.783, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8238, decode.loss_mask: 0.7899, decode.loss_dice: 1.2034, decode.d0.loss_cls: 2.6210, decode.d0.loss_mask: 0.7878, decode.d0.loss_dice: 1.3792, decode.d1.loss_cls: 0.9092, decode.d1.loss_mask: 0.8161, decode.d1.loss_dice: 1.3060, decode.d2.loss_cls: 0.8551, decode.d2.loss_mask: 0.8015, decode.d2.loss_dice: 1.2543, decode.d3.loss_cls: 0.8330, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.2344, decode.d4.loss_cls: 0.8264, decode.d4.loss_mask: 0.7905, decode.d4.loss_dice: 1.2270, decode.d5.loss_cls: 0.8215, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 0.8199, decode.d6.loss_mask: 0.7882, decode.d6.loss_dice: 1.2149, decode.d7.loss_cls: 0.8192, decode.d7.loss_mask: 0.7873, decode.d7.loss_dice: 1.2131, decode.d8.loss_cls: 0.8194, decode.d8.loss_mask: 0.7878, decode.d8.loss_dice: 1.2099, loss: 30.5480 2022-04-29 21:12:08,708 - mmseg - INFO - Iter [48400/80000] lr: 5.672e-07, eta: 16:14:08, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8240, decode.loss_mask: 0.7604, decode.loss_dice: 1.2380, decode.d0.loss_cls: 2.6851, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.4215, decode.d1.loss_cls: 0.9060, decode.d1.loss_mask: 0.8047, decode.d1.loss_dice: 1.3342, decode.d2.loss_cls: 0.8558, decode.d2.loss_mask: 0.7787, decode.d2.loss_dice: 1.2773, decode.d3.loss_cls: 0.8407, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.2505, decode.d4.loss_cls: 0.8332, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.2540, decode.d5.loss_cls: 0.8274, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.2405, decode.d6.loss_cls: 0.8235, decode.d6.loss_mask: 0.7624, decode.d6.loss_dice: 1.2332, decode.d7.loss_cls: 0.8225, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.2331, decode.d8.loss_cls: 0.8235, decode.d8.loss_mask: 0.7592, decode.d8.loss_dice: 1.2309, loss: 30.6550 2022-04-29 21:13:39,149 - mmseg - INFO - Iter [48450/80000] lr: 5.663e-07, eta: 16:12:34, time: 1.809, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8074, decode.loss_mask: 0.7697, decode.loss_dice: 1.1941, decode.d0.loss_cls: 2.6378, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3793, decode.d1.loss_cls: 0.9030, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2895, decode.d2.loss_cls: 0.8357, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.2420, decode.d3.loss_cls: 0.8316, decode.d3.loss_mask: 0.7706, decode.d3.loss_dice: 1.2128, decode.d4.loss_cls: 0.8245, decode.d4.loss_mask: 0.7716, decode.d4.loss_dice: 1.2122, decode.d5.loss_cls: 0.8219, decode.d5.loss_mask: 0.7695, decode.d5.loss_dice: 1.2065, decode.d6.loss_cls: 0.8097, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.1944, decode.d7.loss_cls: 0.8090, decode.d7.loss_mask: 0.7685, decode.d7.loss_dice: 1.1908, decode.d8.loss_cls: 0.8123, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.1942, loss: 30.1459 2022-04-29 21:15:08,642 - mmseg - INFO - Iter [48500/80000] lr: 5.654e-07, eta: 16:10:59, time: 1.790, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8238, decode.loss_mask: 0.7495, decode.loss_dice: 1.1931, decode.d0.loss_cls: 2.6552, decode.d0.loss_mask: 0.7645, decode.d0.loss_dice: 1.3790, decode.d1.loss_cls: 0.9136, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2876, decode.d2.loss_cls: 0.8539, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.2331, decode.d3.loss_cls: 0.8391, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.2141, decode.d4.loss_cls: 0.8404, decode.d4.loss_mask: 0.7563, decode.d4.loss_dice: 1.2065, decode.d5.loss_cls: 0.8314, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.2020, decode.d6.loss_cls: 0.8200, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.1985, decode.d7.loss_cls: 0.8254, decode.d7.loss_mask: 0.7506, decode.d7.loss_dice: 1.1973, decode.d8.loss_cls: 0.8211, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1981, loss: 30.1285 2022-04-29 21:16:37,322 - mmseg - INFO - Iter [48550/80000] lr: 5.645e-07, eta: 16:09:25, time: 1.773, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7915, decode.loss_mask: 0.7776, decode.loss_dice: 1.1967, decode.d0.loss_cls: 2.6067, decode.d0.loss_mask: 0.7820, decode.d0.loss_dice: 1.3631, decode.d1.loss_cls: 0.8836, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2879, decode.d2.loss_cls: 0.8258, decode.d2.loss_mask: 0.7957, decode.d2.loss_dice: 1.2379, decode.d3.loss_cls: 0.8118, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.2214, decode.d4.loss_cls: 0.8059, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.2167, decode.d5.loss_cls: 0.7992, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.2054, decode.d6.loss_cls: 0.7957, decode.d6.loss_mask: 0.7789, decode.d6.loss_dice: 1.1948, decode.d7.loss_cls: 0.7933, decode.d7.loss_mask: 0.7802, decode.d7.loss_dice: 1.2029, decode.d8.loss_cls: 0.7965, decode.d8.loss_mask: 0.7796, decode.d8.loss_dice: 1.1951, loss: 30.0885 2022-04-29 21:18:06,209 - mmseg - INFO - Iter [48600/80000] lr: 5.636e-07, eta: 16:07:50, time: 1.778, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8147, decode.loss_mask: 0.7582, decode.loss_dice: 1.2037, decode.d0.loss_cls: 2.6103, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3853, decode.d1.loss_cls: 0.9063, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.3043, decode.d2.loss_cls: 0.8457, decode.d2.loss_mask: 0.7802, decode.d2.loss_dice: 1.2590, decode.d3.loss_cls: 0.8388, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.2295, decode.d4.loss_cls: 0.8277, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.2258, decode.d5.loss_cls: 0.8221, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.2183, decode.d6.loss_cls: 0.8157, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.2034, decode.d7.loss_cls: 0.8139, decode.d7.loss_mask: 0.7612, decode.d7.loss_dice: 1.2066, decode.d8.loss_cls: 0.8146, decode.d8.loss_mask: 0.7616, decode.d8.loss_dice: 1.2061, loss: 30.2241 2022-04-29 21:19:35,915 - mmseg - INFO - Iter [48650/80000] lr: 5.627e-07, eta: 16:06:15, time: 1.792, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8109, decode.loss_mask: 0.7573, decode.loss_dice: 1.1947, decode.d0.loss_cls: 2.5655, decode.d0.loss_mask: 0.7712, decode.d0.loss_dice: 1.3672, decode.d1.loss_cls: 0.8991, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.2988, decode.d2.loss_cls: 0.8402, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.2440, decode.d3.loss_cls: 0.8279, decode.d3.loss_mask: 0.7618, decode.d3.loss_dice: 1.2120, decode.d4.loss_cls: 0.8179, decode.d4.loss_mask: 0.7654, decode.d4.loss_dice: 1.2030, decode.d5.loss_cls: 0.8181, decode.d5.loss_mask: 0.7626, decode.d5.loss_dice: 1.1978, decode.d6.loss_cls: 0.8161, decode.d6.loss_mask: 0.7556, decode.d6.loss_dice: 1.1875, decode.d7.loss_cls: 0.8149, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.1942, decode.d8.loss_cls: 0.8156, decode.d8.loss_mask: 0.7571, decode.d8.loss_dice: 1.1857, loss: 29.9647 2022-04-29 21:21:05,768 - mmseg - INFO - Iter [48700/80000] lr: 5.618e-07, eta: 16:04:41, time: 1.799, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7755, decode.loss_mask: 0.7547, decode.loss_dice: 1.1700, decode.d0.loss_cls: 2.5586, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3399, decode.d1.loss_cls: 0.8639, decode.d1.loss_mask: 0.7887, decode.d1.loss_dice: 1.2648, decode.d2.loss_cls: 0.8012, decode.d2.loss_mask: 0.7739, decode.d2.loss_dice: 1.2135, decode.d3.loss_cls: 0.7927, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.1811, decode.d4.loss_cls: 0.7882, decode.d4.loss_mask: 0.7581, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7818, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.1821, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.1599, decode.d7.loss_cls: 0.7729, decode.d7.loss_mask: 0.7549, decode.d7.loss_dice: 1.1705, decode.d8.loss_cls: 0.7708, decode.d8.loss_mask: 0.7611, decode.d8.loss_dice: 1.1706, loss: 29.3278 2022-04-29 21:22:37,301 - mmseg - INFO - Iter [48750/80000] lr: 5.609e-07, eta: 16:03:08, time: 1.831, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8045, decode.loss_mask: 0.7692, decode.loss_dice: 1.1672, decode.d0.loss_cls: 2.5931, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.3415, decode.d1.loss_cls: 0.8913, decode.d1.loss_mask: 0.8033, decode.d1.loss_dice: 1.2718, decode.d2.loss_cls: 0.8406, decode.d2.loss_mask: 0.7856, decode.d2.loss_dice: 1.2240, decode.d3.loss_cls: 0.8254, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.1967, decode.d4.loss_cls: 0.8172, decode.d4.loss_mask: 0.7772, decode.d4.loss_dice: 1.1896, decode.d5.loss_cls: 0.8120, decode.d5.loss_mask: 0.7747, decode.d5.loss_dice: 1.1779, decode.d6.loss_cls: 0.8094, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1630, decode.d7.loss_cls: 0.8088, decode.d7.loss_mask: 0.7711, decode.d7.loss_dice: 1.1640, decode.d8.loss_cls: 0.8055, decode.d8.loss_mask: 0.7687, decode.d8.loss_dice: 1.1712, loss: 29.8539 2022-04-29 21:24:07,464 - mmseg - INFO - Iter [48800/80000] lr: 5.600e-07, eta: 16:01:34, time: 1.803, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8196, decode.loss_mask: 0.7587, decode.loss_dice: 1.1583, decode.d0.loss_cls: 2.5787, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3534, decode.d1.loss_cls: 0.9124, decode.d1.loss_mask: 0.7943, decode.d1.loss_dice: 1.2624, decode.d2.loss_cls: 0.8547, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.2060, decode.d3.loss_cls: 0.8414, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.1830, decode.d4.loss_cls: 0.8335, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1748, decode.d5.loss_cls: 0.8333, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1726, decode.d6.loss_cls: 0.8277, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.1594, decode.d7.loss_cls: 0.8278, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.1638, decode.d8.loss_cls: 0.8192, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.1640, loss: 29.7902 2022-04-29 21:25:38,102 - mmseg - INFO - Iter [48850/80000] lr: 5.591e-07, eta: 16:00:01, time: 1.813, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8128, decode.loss_mask: 0.7439, decode.loss_dice: 1.2036, decode.d0.loss_cls: 2.6398, decode.d0.loss_mask: 0.7517, decode.d0.loss_dice: 1.3978, decode.d1.loss_cls: 0.8980, decode.d1.loss_mask: 0.7754, decode.d1.loss_dice: 1.3066, decode.d2.loss_cls: 0.8313, decode.d2.loss_mask: 0.7628, decode.d2.loss_dice: 1.2557, decode.d3.loss_cls: 0.8223, decode.d3.loss_mask: 0.7572, decode.d3.loss_dice: 1.2342, decode.d4.loss_cls: 0.8155, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.2237, decode.d5.loss_cls: 0.8115, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.2164, decode.d6.loss_cls: 0.8139, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.2086, decode.d7.loss_cls: 0.8138, decode.d7.loss_mask: 0.7471, decode.d7.loss_dice: 1.2095, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7471, decode.d8.loss_dice: 1.2141, loss: 30.0759 2022-04-29 21:27:08,929 - mmseg - INFO - Iter [48900/80000] lr: 5.582e-07, eta: 15:58:27, time: 1.816, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8381, decode.loss_mask: 0.7900, decode.loss_dice: 1.2073, decode.d0.loss_cls: 2.6825, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.3925, decode.d1.loss_cls: 0.9318, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.3124, decode.d2.loss_cls: 0.8694, decode.d2.loss_mask: 0.8021, decode.d2.loss_dice: 1.2573, decode.d3.loss_cls: 0.8504, decode.d3.loss_mask: 0.7910, decode.d3.loss_dice: 1.2272, decode.d4.loss_cls: 0.8471, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.2292, decode.d5.loss_cls: 0.8535, decode.d5.loss_mask: 0.7799, decode.d5.loss_dice: 1.2191, decode.d6.loss_cls: 0.8428, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.2116, decode.d7.loss_cls: 0.8466, decode.d7.loss_mask: 0.7877, decode.d7.loss_dice: 1.2081, decode.d8.loss_cls: 0.8423, decode.d8.loss_mask: 0.7897, decode.d8.loss_dice: 1.2080, loss: 30.7964 2022-04-29 21:28:42,168 - mmseg - INFO - Iter [48950/80000] lr: 5.573e-07, eta: 15:56:55, time: 1.865, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8005, decode.loss_mask: 0.7818, decode.loss_dice: 1.1761, decode.d0.loss_cls: 2.6228, decode.d0.loss_mask: 0.8003, decode.d0.loss_dice: 1.3621, decode.d1.loss_cls: 0.8929, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.2735, decode.d2.loss_cls: 0.8416, decode.d2.loss_mask: 0.7984, decode.d2.loss_dice: 1.2079, decode.d3.loss_cls: 0.8255, decode.d3.loss_mask: 0.7922, decode.d3.loss_dice: 1.1882, decode.d4.loss_cls: 0.8173, decode.d4.loss_mask: 0.7845, decode.d4.loss_dice: 1.1906, decode.d5.loss_cls: 0.8129, decode.d5.loss_mask: 0.7848, decode.d5.loss_dice: 1.1777, decode.d6.loss_cls: 0.8100, decode.d6.loss_mask: 0.7818, decode.d6.loss_dice: 1.1766, decode.d7.loss_cls: 0.8103, decode.d7.loss_mask: 0.7814, decode.d7.loss_dice: 1.1708, decode.d8.loss_cls: 0.8049, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.1694, loss: 30.0372 2022-04-29 21:30:14,276 - mmseg - INFO - Saving checkpoint at 49000 iterations 2022-04-29 21:30:45,044 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 21:30:45,056 - mmseg - INFO - Iter [49000/80000] lr: 5.564e-07, eta: 15:55:42, time: 2.453, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7810, decode.loss_mask: 0.7512, decode.loss_dice: 1.1493, decode.d0.loss_cls: 2.5686, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.3362, decode.d1.loss_cls: 0.8748, decode.d1.loss_mask: 0.7933, decode.d1.loss_dice: 1.2506, decode.d2.loss_cls: 0.8070, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.1969, decode.d3.loss_cls: 0.7975, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1707, decode.d4.loss_cls: 0.7872, decode.d4.loss_mask: 0.7593, decode.d4.loss_dice: 1.1706, decode.d5.loss_cls: 0.7816, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1588, decode.d6.loss_cls: 0.7779, decode.d6.loss_mask: 0.7563, decode.d6.loss_dice: 1.1491, decode.d7.loss_cls: 0.7769, decode.d7.loss_mask: 0.7562, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7800, decode.d8.loss_mask: 0.7535, decode.d8.loss_dice: 1.1468, loss: 29.2466 2022-04-29 21:32:17,414 - mmseg - INFO - Iter [49050/80000] lr: 5.555e-07, eta: 15:54:10, time: 1.852, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7788, decode.loss_mask: 0.7678, decode.loss_dice: 1.1807, decode.d0.loss_cls: 2.5772, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.3534, decode.d1.loss_cls: 0.8745, decode.d1.loss_mask: 0.7899, decode.d1.loss_dice: 1.2764, decode.d2.loss_cls: 0.8074, decode.d2.loss_mask: 0.7854, decode.d2.loss_dice: 1.2254, decode.d3.loss_cls: 0.7984, decode.d3.loss_mask: 0.7737, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.7862, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.2020, decode.d5.loss_cls: 0.7889, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.1916, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1835, decode.d7.loss_cls: 0.7753, decode.d7.loss_mask: 0.7672, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.7789, decode.d8.loss_mask: 0.7634, decode.d8.loss_dice: 1.1797, loss: 29.6656 2022-04-29 21:33:47,595 - mmseg - INFO - Iter [49100/80000] lr: 5.546e-07, eta: 15:52:36, time: 1.803, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8210, decode.loss_mask: 0.7731, decode.loss_dice: 1.1650, decode.d0.loss_cls: 2.6393, decode.d0.loss_mask: 0.7909, decode.d0.loss_dice: 1.3601, decode.d1.loss_cls: 0.9117, decode.d1.loss_mask: 0.8169, decode.d1.loss_dice: 1.2691, decode.d2.loss_cls: 0.8437, decode.d2.loss_mask: 0.8016, decode.d2.loss_dice: 1.2172, decode.d3.loss_cls: 0.8315, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.8260, decode.d4.loss_mask: 0.7846, decode.d4.loss_dice: 1.1916, decode.d5.loss_cls: 0.8340, decode.d5.loss_mask: 0.7784, decode.d5.loss_dice: 1.1869, decode.d6.loss_cls: 0.8242, decode.d6.loss_mask: 0.7765, decode.d6.loss_dice: 1.1801, decode.d7.loss_cls: 0.8224, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.1807, decode.d8.loss_cls: 0.8195, decode.d8.loss_mask: 0.7762, decode.d8.loss_dice: 1.1770, loss: 30.1607 2022-04-29 21:35:18,717 - mmseg - INFO - Iter [49150/80000] lr: 5.537e-07, eta: 15:51:02, time: 1.822, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7566, decode.loss_mask: 0.7655, decode.loss_dice: 1.1668, decode.d0.loss_cls: 2.5540, decode.d0.loss_mask: 0.7764, decode.d0.loss_dice: 1.3533, decode.d1.loss_cls: 0.8432, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2678, decode.d2.loss_cls: 0.7774, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.7750, decode.d3.loss_mask: 0.7718, decode.d3.loss_dice: 1.1884, decode.d4.loss_cls: 0.7653, decode.d4.loss_mask: 0.7691, decode.d4.loss_dice: 1.1803, decode.d5.loss_cls: 0.7643, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.1772, decode.d6.loss_cls: 0.7592, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.1741, decode.d7.loss_cls: 0.7543, decode.d7.loss_mask: 0.7643, decode.d7.loss_dice: 1.1677, decode.d8.loss_cls: 0.7537, decode.d8.loss_mask: 0.7680, decode.d8.loss_dice: 1.1706, loss: 29.3061 2022-04-29 21:36:49,753 - mmseg - INFO - Iter [49200/80000] lr: 5.528e-07, eta: 15:49:29, time: 1.820, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8066, decode.loss_mask: 0.7568, decode.loss_dice: 1.1643, decode.d0.loss_cls: 2.6067, decode.d0.loss_mask: 0.7633, decode.d0.loss_dice: 1.3452, decode.d1.loss_cls: 0.8936, decode.d1.loss_mask: 0.7887, decode.d1.loss_dice: 1.2729, decode.d2.loss_cls: 0.8302, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.2210, decode.d3.loss_cls: 0.8244, decode.d3.loss_mask: 0.7614, decode.d3.loss_dice: 1.1815, decode.d4.loss_cls: 0.8169, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 0.8140, decode.d5.loss_mask: 0.7620, decode.d5.loss_dice: 1.1789, decode.d6.loss_cls: 0.8141, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 0.8100, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1601, decode.d8.loss_cls: 0.8072, decode.d8.loss_mask: 0.7535, decode.d8.loss_dice: 1.1619, loss: 29.6765 2022-04-29 21:38:21,157 - mmseg - INFO - Iter [49250/80000] lr: 5.519e-07, eta: 15:47:56, time: 1.829, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7716, decode.loss_mask: 0.7671, decode.loss_dice: 1.2004, decode.d0.loss_cls: 2.5653, decode.d0.loss_mask: 0.7701, decode.d0.loss_dice: 1.3512, decode.d1.loss_cls: 0.8562, decode.d1.loss_mask: 0.7947, decode.d1.loss_dice: 1.2860, decode.d2.loss_cls: 0.7954, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.2484, decode.d3.loss_cls: 0.7825, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.2221, decode.d4.loss_cls: 0.7802, decode.d4.loss_mask: 0.7749, decode.d4.loss_dice: 1.2195, decode.d5.loss_cls: 0.7772, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.2121, decode.d6.loss_cls: 0.7784, decode.d6.loss_mask: 0.7673, decode.d6.loss_dice: 1.1966, decode.d7.loss_cls: 0.7678, decode.d7.loss_mask: 0.7668, decode.d7.loss_dice: 1.2037, decode.d8.loss_cls: 0.7718, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.2000, loss: 29.7255 2022-04-29 21:39:52,078 - mmseg - INFO - Iter [49300/80000] lr: 5.510e-07, eta: 15:46:22, time: 1.818, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8450, decode.loss_mask: 0.7837, decode.loss_dice: 1.2095, decode.d0.loss_cls: 2.6885, decode.d0.loss_mask: 0.7995, decode.d0.loss_dice: 1.3817, decode.d1.loss_cls: 0.9145, decode.d1.loss_mask: 0.8196, decode.d1.loss_dice: 1.3121, decode.d2.loss_cls: 0.8702, decode.d2.loss_mask: 0.7998, decode.d2.loss_dice: 1.2573, decode.d3.loss_cls: 0.8617, decode.d3.loss_mask: 0.7880, decode.d3.loss_dice: 1.2326, decode.d4.loss_cls: 0.8553, decode.d4.loss_mask: 0.7889, decode.d4.loss_dice: 1.2213, decode.d5.loss_cls: 0.8551, decode.d5.loss_mask: 0.7909, decode.d5.loss_dice: 1.2254, decode.d6.loss_cls: 0.8397, decode.d6.loss_mask: 0.7873, decode.d6.loss_dice: 1.2126, decode.d7.loss_cls: 0.8435, decode.d7.loss_mask: 0.7871, decode.d7.loss_dice: 1.2143, decode.d8.loss_cls: 0.8439, decode.d8.loss_mask: 0.7865, decode.d8.loss_dice: 1.2066, loss: 30.8223 2022-04-29 21:41:25,050 - mmseg - INFO - Iter [49350/80000] lr: 5.501e-07, eta: 15:44:50, time: 1.860, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8222, decode.loss_mask: 0.7572, decode.loss_dice: 1.1848, decode.d0.loss_cls: 2.6619, decode.d0.loss_mask: 0.7740, decode.d0.loss_dice: 1.3830, decode.d1.loss_cls: 0.9068, decode.d1.loss_mask: 0.8084, decode.d1.loss_dice: 1.3078, decode.d2.loss_cls: 0.8533, decode.d2.loss_mask: 0.7813, decode.d2.loss_dice: 1.2488, decode.d3.loss_cls: 0.8347, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.2256, decode.d4.loss_cls: 0.8299, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.2183, decode.d5.loss_cls: 0.8272, decode.d5.loss_mask: 0.7644, decode.d5.loss_dice: 1.2138, decode.d6.loss_cls: 0.8295, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1939, decode.d7.loss_cls: 0.8255, decode.d7.loss_mask: 0.7579, decode.d7.loss_dice: 1.1933, decode.d8.loss_cls: 0.8246, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1911, loss: 30.2696 2022-04-29 21:42:56,396 - mmseg - INFO - Iter [49400/80000] lr: 5.492e-07, eta: 15:43:17, time: 1.827, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8200, decode.loss_mask: 0.7661, decode.loss_dice: 1.1899, decode.d0.loss_cls: 2.6551, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.3698, decode.d1.loss_cls: 0.9097, decode.d1.loss_mask: 0.8070, decode.d1.loss_dice: 1.2829, decode.d2.loss_cls: 0.8387, decode.d2.loss_mask: 0.7869, decode.d2.loss_dice: 1.2397, decode.d3.loss_cls: 0.8303, decode.d3.loss_mask: 0.7757, decode.d3.loss_dice: 1.2087, decode.d4.loss_cls: 0.8195, decode.d4.loss_mask: 0.7792, decode.d4.loss_dice: 1.2103, decode.d5.loss_cls: 0.8208, decode.d5.loss_mask: 0.7721, decode.d5.loss_dice: 1.1993, decode.d6.loss_cls: 0.8178, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1843, decode.d7.loss_cls: 0.8195, decode.d7.loss_mask: 0.7695, decode.d7.loss_dice: 1.1897, decode.d8.loss_cls: 0.8177, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1909, loss: 30.1807 2022-04-29 21:44:29,041 - mmseg - INFO - Iter [49450/80000] lr: 5.483e-07, eta: 15:41:44, time: 1.853, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7956, decode.loss_mask: 0.7570, decode.loss_dice: 1.1857, decode.d0.loss_cls: 2.5875, decode.d0.loss_mask: 0.7632, decode.d0.loss_dice: 1.3601, decode.d1.loss_cls: 0.8765, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8235, decode.d2.loss_mask: 0.7801, decode.d2.loss_dice: 1.2295, decode.d3.loss_cls: 0.8120, decode.d3.loss_mask: 0.7642, decode.d3.loss_dice: 1.2074, decode.d4.loss_cls: 0.8036, decode.d4.loss_mask: 0.7620, decode.d4.loss_dice: 1.2089, decode.d5.loss_cls: 0.8083, decode.d5.loss_mask: 0.7607, decode.d5.loss_dice: 1.1949, decode.d6.loss_cls: 0.8002, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.1858, decode.d7.loss_cls: 0.8041, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1849, decode.d8.loss_cls: 0.7993, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1885, loss: 29.7916 2022-04-29 21:46:01,577 - mmseg - INFO - Iter [49500/80000] lr: 5.474e-07, eta: 15:40:12, time: 1.851, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7968, decode.loss_mask: 0.7548, decode.loss_dice: 1.1771, decode.d0.loss_cls: 2.5984, decode.d0.loss_mask: 0.7628, decode.d0.loss_dice: 1.3548, decode.d1.loss_cls: 0.8746, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2743, decode.d2.loss_cls: 0.8221, decode.d2.loss_mask: 0.7738, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.8099, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1996, decode.d4.loss_cls: 0.8080, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.2000, decode.d5.loss_cls: 0.8046, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.1930, decode.d6.loss_cls: 0.7990, decode.d6.loss_mask: 0.7565, decode.d6.loss_dice: 1.1858, decode.d7.loss_cls: 0.7998, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 0.7955, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1842, loss: 29.7235 2022-04-29 21:47:34,106 - mmseg - INFO - Iter [49550/80000] lr: 5.465e-07, eta: 15:38:40, time: 1.851, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8016, decode.loss_mask: 0.7806, decode.loss_dice: 1.1699, decode.d0.loss_cls: 2.6286, decode.d0.loss_mask: 0.7922, decode.d0.loss_dice: 1.3605, decode.d1.loss_cls: 0.8850, decode.d1.loss_mask: 0.8222, decode.d1.loss_dice: 1.2795, decode.d2.loss_cls: 0.8259, decode.d2.loss_mask: 0.8034, decode.d2.loss_dice: 1.2264, decode.d3.loss_cls: 0.8136, decode.d3.loss_mask: 0.7897, decode.d3.loss_dice: 1.1962, decode.d4.loss_cls: 0.8055, decode.d4.loss_mask: 0.7897, decode.d4.loss_dice: 1.1969, decode.d5.loss_cls: 0.8045, decode.d5.loss_mask: 0.7844, decode.d5.loss_dice: 1.1856, decode.d6.loss_cls: 0.8044, decode.d6.loss_mask: 0.7848, decode.d6.loss_dice: 1.1721, decode.d7.loss_cls: 0.7992, decode.d7.loss_mask: 0.7822, decode.d7.loss_dice: 1.1708, decode.d8.loss_cls: 0.8023, decode.d8.loss_mask: 0.7842, decode.d8.loss_dice: 1.1710, loss: 30.0129 2022-04-29 21:49:05,816 - mmseg - INFO - Iter [49600/80000] lr: 5.456e-07, eta: 15:37:07, time: 1.834, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7551, decode.loss_mask: 0.7753, decode.loss_dice: 1.1544, decode.d0.loss_cls: 2.5464, decode.d0.loss_mask: 0.7839, decode.d0.loss_dice: 1.3200, decode.d1.loss_cls: 0.8400, decode.d1.loss_mask: 0.8038, decode.d1.loss_dice: 1.2555, decode.d2.loss_cls: 0.7878, decode.d2.loss_mask: 0.7872, decode.d2.loss_dice: 1.1997, decode.d3.loss_cls: 0.7700, decode.d3.loss_mask: 0.7810, decode.d3.loss_dice: 1.1726, decode.d4.loss_cls: 0.7629, decode.d4.loss_mask: 0.7831, decode.d4.loss_dice: 1.1771, decode.d5.loss_cls: 0.7602, decode.d5.loss_mask: 0.7804, decode.d5.loss_dice: 1.1648, decode.d6.loss_cls: 0.7563, decode.d6.loss_mask: 0.7769, decode.d6.loss_dice: 1.1521, decode.d7.loss_cls: 0.7571, decode.d7.loss_mask: 0.7783, decode.d7.loss_dice: 1.1517, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7741, decode.d8.loss_dice: 1.1541, loss: 29.2163 2022-04-29 21:50:37,787 - mmseg - INFO - Iter [49650/80000] lr: 5.447e-07, eta: 15:35:34, time: 1.839, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7996, decode.loss_mask: 0.7432, decode.loss_dice: 1.1530, decode.d0.loss_cls: 2.6024, decode.d0.loss_mask: 0.7589, decode.d0.loss_dice: 1.3372, decode.d1.loss_cls: 0.8948, decode.d1.loss_mask: 0.7758, decode.d1.loss_dice: 1.2413, decode.d2.loss_cls: 0.8327, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.1962, decode.d3.loss_cls: 0.8239, decode.d3.loss_mask: 0.7460, decode.d3.loss_dice: 1.1697, decode.d4.loss_cls: 0.8173, decode.d4.loss_mask: 0.7459, decode.d4.loss_dice: 1.1590, decode.d5.loss_cls: 0.8098, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.8062, decode.d6.loss_mask: 0.7421, decode.d6.loss_dice: 1.1491, decode.d7.loss_cls: 0.8001, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.1489, decode.d8.loss_cls: 0.7954, decode.d8.loss_mask: 0.7422, decode.d8.loss_dice: 1.1536, loss: 29.3571 2022-04-29 21:52:10,897 - mmseg - INFO - Iter [49700/80000] lr: 5.438e-07, eta: 15:34:02, time: 1.861, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8139, decode.loss_mask: 0.7780, decode.loss_dice: 1.1641, decode.d0.loss_cls: 2.6133, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.3519, decode.d1.loss_cls: 0.8982, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.2665, decode.d2.loss_cls: 0.8407, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2125, decode.d3.loss_cls: 0.8439, decode.d3.loss_mask: 0.7883, decode.d3.loss_dice: 1.1768, decode.d4.loss_cls: 0.8341, decode.d4.loss_mask: 0.7888, decode.d4.loss_dice: 1.1765, decode.d5.loss_cls: 0.8336, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.1782, decode.d6.loss_cls: 0.8201, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.1625, decode.d7.loss_cls: 0.8188, decode.d7.loss_mask: 0.7813, decode.d7.loss_dice: 1.1624, decode.d8.loss_cls: 0.8159, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.1669, loss: 30.0222 2022-04-29 21:53:44,293 - mmseg - INFO - Iter [49750/80000] lr: 5.429e-07, eta: 15:32:30, time: 1.870, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7929, decode.loss_mask: 0.7722, decode.loss_dice: 1.1951, decode.d0.loss_cls: 2.5902, decode.d0.loss_mask: 0.7826, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 0.8740, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.3006, decode.d2.loss_cls: 0.8223, decode.d2.loss_mask: 0.7937, decode.d2.loss_dice: 1.2445, decode.d3.loss_cls: 0.8225, decode.d3.loss_mask: 0.7770, decode.d3.loss_dice: 1.2102, decode.d4.loss_cls: 0.8107, decode.d4.loss_mask: 0.7772, decode.d4.loss_dice: 1.2096, decode.d5.loss_cls: 0.7990, decode.d5.loss_mask: 0.7768, decode.d5.loss_dice: 1.2085, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7760, decode.d6.loss_dice: 1.2035, decode.d7.loss_cls: 0.7923, decode.d7.loss_mask: 0.7722, decode.d7.loss_dice: 1.1986, decode.d8.loss_cls: 0.7961, decode.d8.loss_mask: 0.7722, decode.d8.loss_dice: 1.1982, loss: 30.0694 2022-04-29 21:55:15,361 - mmseg - INFO - Iter [49800/80000] lr: 5.420e-07, eta: 15:30:57, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8315, decode.loss_mask: 0.7648, decode.loss_dice: 1.1929, decode.d0.loss_cls: 2.6279, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 0.9168, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.2970, decode.d2.loss_cls: 0.8643, decode.d2.loss_mask: 0.7764, decode.d2.loss_dice: 1.2445, decode.d3.loss_cls: 0.8487, decode.d3.loss_mask: 0.7753, decode.d3.loss_dice: 1.2216, decode.d4.loss_cls: 0.8381, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8393, decode.d5.loss_mask: 0.7698, decode.d5.loss_dice: 1.2053, decode.d6.loss_cls: 0.8303, decode.d6.loss_mask: 0.7671, decode.d6.loss_dice: 1.1988, decode.d7.loss_cls: 0.8288, decode.d7.loss_mask: 0.7661, decode.d7.loss_dice: 1.2029, decode.d8.loss_cls: 0.8347, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.1966, loss: 30.3509 2022-04-29 21:56:47,237 - mmseg - INFO - Iter [49850/80000] lr: 5.411e-07, eta: 15:29:24, time: 1.834, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8259, decode.loss_mask: 0.7561, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.6474, decode.d0.loss_mask: 0.7661, decode.d0.loss_dice: 1.3683, decode.d1.loss_cls: 0.9108, decode.d1.loss_mask: 0.7847, decode.d1.loss_dice: 1.2877, decode.d2.loss_cls: 0.8579, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.2359, decode.d3.loss_cls: 0.8371, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.2145, decode.d4.loss_cls: 0.8280, decode.d4.loss_mask: 0.7674, decode.d4.loss_dice: 1.2118, decode.d5.loss_cls: 0.8200, decode.d5.loss_mask: 0.7680, decode.d5.loss_dice: 1.2032, decode.d6.loss_cls: 0.8250, decode.d6.loss_mask: 0.7620, decode.d6.loss_dice: 1.1934, decode.d7.loss_cls: 0.8199, decode.d7.loss_mask: 0.7584, decode.d7.loss_dice: 1.1865, decode.d8.loss_cls: 0.8213, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1853, loss: 30.1303 2022-04-29 21:58:20,700 - mmseg - INFO - Iter [49900/80000] lr: 5.402e-07, eta: 15:27:52, time: 1.873, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7985, decode.loss_mask: 0.7665, decode.loss_dice: 1.1704, decode.d0.loss_cls: 2.5527, decode.d0.loss_mask: 0.7865, decode.d0.loss_dice: 1.3526, decode.d1.loss_cls: 0.8906, decode.d1.loss_mask: 0.8009, decode.d1.loss_dice: 1.2738, decode.d2.loss_cls: 0.8292, decode.d2.loss_mask: 0.7885, decode.d2.loss_dice: 1.2103, decode.d3.loss_cls: 0.8209, decode.d3.loss_mask: 0.7740, decode.d3.loss_dice: 1.1875, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7740, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.8080, decode.d5.loss_mask: 0.7698, decode.d5.loss_dice: 1.1820, decode.d6.loss_cls: 0.8047, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1723, decode.d7.loss_cls: 0.8004, decode.d7.loss_mask: 0.7681, decode.d7.loss_dice: 1.1732, decode.d8.loss_cls: 0.8021, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.1727, loss: 29.7633 2022-04-29 21:59:52,582 - mmseg - INFO - Iter [49950/80000] lr: 5.393e-07, eta: 15:26:19, time: 1.838, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8091, decode.loss_mask: 0.7661, decode.loss_dice: 1.1967, decode.d0.loss_cls: 2.6036, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.3729, decode.d1.loss_cls: 0.8975, decode.d1.loss_mask: 0.7949, decode.d1.loss_dice: 1.2931, decode.d2.loss_cls: 0.8410, decode.d2.loss_mask: 0.7813, decode.d2.loss_dice: 1.2410, decode.d3.loss_cls: 0.8210, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.2186, decode.d4.loss_cls: 0.8174, decode.d4.loss_mask: 0.7774, decode.d4.loss_dice: 1.2159, decode.d5.loss_cls: 0.8148, decode.d5.loss_mask: 0.7734, decode.d5.loss_dice: 1.2084, decode.d6.loss_cls: 0.8109, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.2003, decode.d7.loss_cls: 0.8068, decode.d7.loss_mask: 0.7656, decode.d7.loss_dice: 1.2025, decode.d8.loss_cls: 0.8135, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.1958, loss: 30.1207 2022-04-29 22:01:24,019 - mmseg - INFO - Saving checkpoint at 50000 iterations 2022-04-29 22:01:58,937 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 22:01:58,944 - mmseg - INFO - Iter [50000/80000] lr: 5.384e-07, eta: 15:25:07, time: 2.525, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8262, decode.loss_mask: 0.7675, decode.loss_dice: 1.1874, decode.d0.loss_cls: 2.6518, decode.d0.loss_mask: 0.7865, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 0.9059, decode.d1.loss_mask: 0.8038, decode.d1.loss_dice: 1.2971, decode.d2.loss_cls: 0.8615, decode.d2.loss_mask: 0.7884, decode.d2.loss_dice: 1.2325, decode.d3.loss_cls: 0.8418, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.2148, decode.d4.loss_cls: 0.8348, decode.d4.loss_mask: 0.7742, decode.d4.loss_dice: 1.2055, decode.d5.loss_cls: 0.8343, decode.d5.loss_mask: 0.7703, decode.d5.loss_dice: 1.1974, decode.d6.loss_cls: 0.8315, decode.d6.loss_mask: 0.7654, decode.d6.loss_dice: 1.1888, decode.d7.loss_cls: 0.8258, decode.d7.loss_mask: 0.7658, decode.d7.loss_dice: 1.1893, decode.d8.loss_cls: 0.8275, decode.d8.loss_mask: 0.7658, decode.d8.loss_dice: 1.1869, loss: 30.2815 2022-04-29 22:03:32,192 - mmseg - INFO - Iter [50050/80000] lr: 5.375e-07, eta: 15:23:35, time: 1.866, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8237, decode.loss_mask: 0.7638, decode.loss_dice: 1.1883, decode.d0.loss_cls: 2.6130, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.3665, decode.d1.loss_cls: 0.9098, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.2856, decode.d2.loss_cls: 0.8488, decode.d2.loss_mask: 0.7757, decode.d2.loss_dice: 1.2260, decode.d3.loss_cls: 0.8382, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.2053, decode.d4.loss_cls: 0.8316, decode.d4.loss_mask: 0.7735, decode.d4.loss_dice: 1.2000, decode.d5.loss_cls: 0.8340, decode.d5.loss_mask: 0.7718, decode.d5.loss_dice: 1.1987, decode.d6.loss_cls: 0.8323, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1830, decode.d7.loss_cls: 0.8262, decode.d7.loss_mask: 0.7619, decode.d7.loss_dice: 1.1863, decode.d8.loss_cls: 0.8278, decode.d8.loss_mask: 0.7644, decode.d8.loss_dice: 1.1875, loss: 30.1380 2022-04-29 22:05:03,749 - mmseg - INFO - Iter [50100/80000] lr: 5.366e-07, eta: 15:22:02, time: 1.832, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8248, decode.loss_mask: 0.7584, decode.loss_dice: 1.2018, decode.d0.loss_cls: 2.6235, decode.d0.loss_mask: 0.7752, decode.d0.loss_dice: 1.3990, decode.d1.loss_cls: 0.9063, decode.d1.loss_mask: 0.7880, decode.d1.loss_dice: 1.3031, decode.d2.loss_cls: 0.8515, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2523, decode.d3.loss_cls: 0.8385, decode.d3.loss_mask: 0.7712, decode.d3.loss_dice: 1.2239, decode.d4.loss_cls: 0.8317, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.2217, decode.d5.loss_cls: 0.8308, decode.d5.loss_mask: 0.7636, decode.d5.loss_dice: 1.2218, decode.d6.loss_cls: 0.8211, decode.d6.loss_mask: 0.7643, decode.d6.loss_dice: 1.2138, decode.d7.loss_cls: 0.8297, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.2076, decode.d8.loss_cls: 0.8241, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.2048, loss: 30.3271 2022-04-29 22:06:34,792 - mmseg - INFO - Iter [50150/80000] lr: 5.357e-07, eta: 15:20:28, time: 1.820, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7603, decode.loss_mask: 0.7816, decode.loss_dice: 1.1805, decode.d0.loss_cls: 2.4846, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3467, decode.d1.loss_cls: 0.8466, decode.d1.loss_mask: 0.8076, decode.d1.loss_dice: 1.2721, decode.d2.loss_cls: 0.7984, decode.d2.loss_mask: 0.7946, decode.d2.loss_dice: 1.2161, decode.d3.loss_cls: 0.7816, decode.d3.loss_mask: 0.7891, decode.d3.loss_dice: 1.1946, decode.d4.loss_cls: 0.7795, decode.d4.loss_mask: 0.7853, decode.d4.loss_dice: 1.1882, decode.d5.loss_cls: 0.7741, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.1863, decode.d6.loss_cls: 0.7704, decode.d6.loss_mask: 0.7785, decode.d6.loss_dice: 1.1824, decode.d7.loss_cls: 0.7649, decode.d7.loss_mask: 0.7764, decode.d7.loss_dice: 1.1803, decode.d8.loss_cls: 0.7655, decode.d8.loss_mask: 0.7782, decode.d8.loss_dice: 1.1755, loss: 29.4962 2022-04-29 22:08:06,816 - mmseg - INFO - Iter [50200/80000] lr: 5.349e-07, eta: 15:18:55, time: 1.841, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8414, decode.loss_mask: 0.8002, decode.loss_dice: 1.2076, decode.d0.loss_cls: 2.6751, decode.d0.loss_mask: 0.8096, decode.d0.loss_dice: 1.4016, decode.d1.loss_cls: 0.9367, decode.d1.loss_mask: 0.8370, decode.d1.loss_dice: 1.3070, decode.d2.loss_cls: 0.8781, decode.d2.loss_mask: 0.8164, decode.d2.loss_dice: 1.2553, decode.d3.loss_cls: 0.8693, decode.d3.loss_mask: 0.8070, decode.d3.loss_dice: 1.2253, decode.d4.loss_cls: 0.8606, decode.d4.loss_mask: 0.8062, decode.d4.loss_dice: 1.2239, decode.d5.loss_cls: 0.8539, decode.d5.loss_mask: 0.8013, decode.d5.loss_dice: 1.2195, decode.d6.loss_cls: 0.8447, decode.d6.loss_mask: 0.8001, decode.d6.loss_dice: 1.2057, decode.d7.loss_cls: 0.8390, decode.d7.loss_mask: 0.8005, decode.d7.loss_dice: 1.2019, decode.d8.loss_cls: 0.8398, decode.d8.loss_mask: 0.8002, decode.d8.loss_dice: 1.2024, loss: 30.9676 2022-04-29 22:09:38,439 - mmseg - INFO - Iter [50250/80000] lr: 5.340e-07, eta: 15:17:22, time: 1.830, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8272, decode.loss_mask: 0.7730, decode.loss_dice: 1.2014, decode.d0.loss_cls: 2.6739, decode.d0.loss_mask: 0.7864, decode.d0.loss_dice: 1.3753, decode.d1.loss_cls: 0.9121, decode.d1.loss_mask: 0.8040, decode.d1.loss_dice: 1.2920, decode.d2.loss_cls: 0.8573, decode.d2.loss_mask: 0.7891, decode.d2.loss_dice: 1.2392, decode.d3.loss_cls: 0.8454, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.2114, decode.d4.loss_cls: 0.8341, decode.d4.loss_mask: 0.7826, decode.d4.loss_dice: 1.2117, decode.d5.loss_cls: 0.8371, decode.d5.loss_mask: 0.7809, decode.d5.loss_dice: 1.2040, decode.d6.loss_cls: 0.8243, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.2011, decode.d7.loss_cls: 0.8252, decode.d7.loss_mask: 0.7769, decode.d7.loss_dice: 1.2005, decode.d8.loss_cls: 0.8263, decode.d8.loss_mask: 0.7791, decode.d8.loss_dice: 1.2005, loss: 30.4419 2022-04-29 22:11:08,888 - mmseg - INFO - Iter [50300/80000] lr: 5.331e-07, eta: 15:15:49, time: 1.811, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8294, decode.loss_mask: 0.7489, decode.loss_dice: 1.1854, decode.d0.loss_cls: 2.6222, decode.d0.loss_mask: 0.7642, decode.d0.loss_dice: 1.3830, decode.d1.loss_cls: 0.9156, decode.d1.loss_mask: 0.7809, decode.d1.loss_dice: 1.2828, decode.d2.loss_cls: 0.8578, decode.d2.loss_mask: 0.7644, decode.d2.loss_dice: 1.2341, decode.d3.loss_cls: 0.8419, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.2054, decode.d4.loss_cls: 0.8370, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.2025, decode.d5.loss_cls: 0.8310, decode.d5.loss_mask: 0.7526, decode.d5.loss_dice: 1.2002, decode.d6.loss_cls: 0.8305, decode.d6.loss_mask: 0.7509, decode.d6.loss_dice: 1.1902, decode.d7.loss_cls: 0.8278, decode.d7.loss_mask: 0.7508, decode.d7.loss_dice: 1.1924, decode.d8.loss_cls: 0.8302, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.1842, loss: 30.0572 2022-04-29 22:12:39,177 - mmseg - INFO - Iter [50350/80000] lr: 5.322e-07, eta: 15:14:15, time: 1.805, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7760, decode.loss_mask: 0.7587, decode.loss_dice: 1.1625, decode.d0.loss_cls: 2.5758, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3338, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7832, decode.d1.loss_dice: 1.2472, decode.d2.loss_cls: 0.7986, decode.d2.loss_mask: 0.7700, decode.d2.loss_dice: 1.1991, decode.d3.loss_cls: 0.7984, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.1829, decode.d4.loss_cls: 0.7900, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.1702, decode.d5.loss_cls: 0.7848, decode.d5.loss_mask: 0.7583, decode.d5.loss_dice: 1.1705, decode.d6.loss_cls: 0.7808, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1562, decode.d7.loss_cls: 0.7782, decode.d7.loss_mask: 0.7552, decode.d7.loss_dice: 1.1583, decode.d8.loss_cls: 0.7753, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.1572, loss: 29.2687 2022-04-29 22:14:10,739 - mmseg - INFO - Iter [50400/80000] lr: 5.313e-07, eta: 15:12:42, time: 1.830, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8142, decode.loss_mask: 0.7954, decode.loss_dice: 1.1994, decode.d0.loss_cls: 2.6125, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.3763, decode.d1.loss_cls: 0.9139, decode.d1.loss_mask: 0.8347, decode.d1.loss_dice: 1.2967, decode.d2.loss_cls: 0.8606, decode.d2.loss_mask: 0.8222, decode.d2.loss_dice: 1.2441, decode.d3.loss_cls: 0.8391, decode.d3.loss_mask: 0.8068, decode.d3.loss_dice: 1.2182, decode.d4.loss_cls: 0.8283, decode.d4.loss_mask: 0.8026, decode.d4.loss_dice: 1.2099, decode.d5.loss_cls: 0.8267, decode.d5.loss_mask: 0.8024, decode.d5.loss_dice: 1.2054, decode.d6.loss_cls: 0.8207, decode.d6.loss_mask: 0.8002, decode.d6.loss_dice: 1.1962, decode.d7.loss_cls: 0.8163, decode.d7.loss_mask: 0.7999, decode.d7.loss_dice: 1.1946, decode.d8.loss_cls: 0.8180, decode.d8.loss_mask: 0.8037, decode.d8.loss_dice: 1.1969, loss: 30.5633 2022-04-29 22:15:43,661 - mmseg - INFO - Iter [50450/80000] lr: 5.304e-07, eta: 15:11:10, time: 1.860, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8035, decode.loss_mask: 0.7838, decode.loss_dice: 1.2013, decode.d0.loss_cls: 2.6497, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.3872, decode.d1.loss_cls: 0.8935, decode.d1.loss_mask: 0.8102, decode.d1.loss_dice: 1.3011, decode.d2.loss_cls: 0.8394, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2485, decode.d3.loss_cls: 0.8213, decode.d3.loss_mask: 0.7914, decode.d3.loss_dice: 1.2267, decode.d4.loss_cls: 0.8113, decode.d4.loss_mask: 0.7879, decode.d4.loss_dice: 1.2211, decode.d5.loss_cls: 0.8053, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.2116, decode.d6.loss_cls: 0.8026, decode.d6.loss_mask: 0.7852, decode.d6.loss_dice: 1.2000, decode.d7.loss_cls: 0.7984, decode.d7.loss_mask: 0.7859, decode.d7.loss_dice: 1.2025, decode.d8.loss_cls: 0.7978, decode.d8.loss_mask: 0.7876, decode.d8.loss_dice: 1.2009, loss: 30.3330 2022-04-29 22:17:14,992 - mmseg - INFO - Iter [50500/80000] lr: 5.295e-07, eta: 15:09:36, time: 1.826, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7978, decode.loss_mask: 0.7790, decode.loss_dice: 1.1867, decode.d0.loss_cls: 2.5750, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.3535, decode.d1.loss_cls: 0.8789, decode.d1.loss_mask: 0.8099, decode.d1.loss_dice: 1.2748, decode.d2.loss_cls: 0.8236, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8112, decode.d3.loss_mask: 0.7934, decode.d3.loss_dice: 1.2089, decode.d4.loss_cls: 0.8029, decode.d4.loss_mask: 0.7895, decode.d4.loss_dice: 1.2053, decode.d5.loss_cls: 0.8009, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.2015, decode.d6.loss_cls: 0.7974, decode.d6.loss_mask: 0.7784, decode.d6.loss_dice: 1.1902, decode.d7.loss_cls: 0.7946, decode.d7.loss_mask: 0.7763, decode.d7.loss_dice: 1.1902, decode.d8.loss_cls: 0.7921, decode.d8.loss_mask: 0.7815, decode.d8.loss_dice: 1.1920, loss: 29.9777 2022-04-29 22:18:45,599 - mmseg - INFO - Iter [50550/80000] lr: 5.286e-07, eta: 15:08:03, time: 1.812, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8093, decode.loss_mask: 0.7707, decode.loss_dice: 1.1409, decode.d0.loss_cls: 2.5758, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.3380, decode.d1.loss_cls: 0.9106, decode.d1.loss_mask: 0.7996, decode.d1.loss_dice: 1.2414, decode.d2.loss_cls: 0.8500, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.1842, decode.d3.loss_cls: 0.8377, decode.d3.loss_mask: 0.7749, decode.d3.loss_dice: 1.1573, decode.d4.loss_cls: 0.8221, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.1531, decode.d5.loss_cls: 0.8152, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1475, decode.d6.loss_cls: 0.8213, decode.d6.loss_mask: 0.7699, decode.d6.loss_dice: 1.1388, decode.d7.loss_cls: 0.8160, decode.d7.loss_mask: 0.7673, decode.d7.loss_dice: 1.1395, decode.d8.loss_cls: 0.8145, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.1425, loss: 29.6231 2022-04-29 22:20:15,235 - mmseg - INFO - Iter [50600/80000] lr: 5.277e-07, eta: 15:06:29, time: 1.793, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8252, decode.loss_mask: 0.7481, decode.loss_dice: 1.2196, decode.d0.loss_cls: 2.5999, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.4178, decode.d1.loss_cls: 0.9187, decode.d1.loss_mask: 0.7701, decode.d1.loss_dice: 1.3315, decode.d2.loss_cls: 0.8460, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.2727, decode.d3.loss_cls: 0.8353, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.2438, decode.d4.loss_cls: 0.8299, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.2446, decode.d5.loss_cls: 0.8328, decode.d5.loss_mask: 0.7477, decode.d5.loss_dice: 1.2367, decode.d6.loss_cls: 0.8253, decode.d6.loss_mask: 0.7494, decode.d6.loss_dice: 1.2250, decode.d7.loss_cls: 0.8159, decode.d7.loss_mask: 0.7511, decode.d7.loss_dice: 1.2333, decode.d8.loss_cls: 0.8181, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.2288, loss: 30.3332 2022-04-29 22:21:47,465 - mmseg - INFO - Iter [50650/80000] lr: 5.268e-07, eta: 15:04:56, time: 1.845, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7834, decode.loss_mask: 0.7664, decode.loss_dice: 1.1823, decode.d0.loss_cls: 2.6036, decode.d0.loss_mask: 0.7806, decode.d0.loss_dice: 1.3730, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.8068, decode.d1.loss_dice: 1.2918, decode.d2.loss_cls: 0.8103, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.2274, decode.d3.loss_cls: 0.7980, decode.d3.loss_mask: 0.7727, decode.d3.loss_dice: 1.2038, decode.d4.loss_cls: 0.7902, decode.d4.loss_mask: 0.7729, decode.d4.loss_dice: 1.2038, decode.d5.loss_cls: 0.7947, decode.d5.loss_mask: 0.7738, decode.d5.loss_dice: 1.1945, decode.d6.loss_cls: 0.7890, decode.d6.loss_mask: 0.7683, decode.d6.loss_dice: 1.1843, decode.d7.loss_cls: 0.7899, decode.d7.loss_mask: 0.7666, decode.d7.loss_dice: 1.1890, decode.d8.loss_cls: 0.7893, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1895, loss: 29.8182 2022-04-29 22:23:18,497 - mmseg - INFO - Iter [50700/80000] lr: 5.259e-07, eta: 15:03:23, time: 1.820, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8344, decode.loss_mask: 0.7741, decode.loss_dice: 1.1971, decode.d0.loss_cls: 2.6536, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 0.9371, decode.d1.loss_mask: 0.8111, decode.d1.loss_dice: 1.3083, decode.d2.loss_cls: 0.8705, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.2513, decode.d3.loss_cls: 0.8511, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.2272, decode.d4.loss_cls: 0.8375, decode.d4.loss_mask: 0.7911, decode.d4.loss_dice: 1.2224, decode.d5.loss_cls: 0.8457, decode.d5.loss_mask: 0.7806, decode.d5.loss_dice: 1.2103, decode.d6.loss_cls: 0.8391, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.2018, decode.d7.loss_cls: 0.8337, decode.d7.loss_mask: 0.7757, decode.d7.loss_dice: 1.2057, decode.d8.loss_cls: 0.8326, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.2022, loss: 30.5994 2022-04-29 22:24:50,703 - mmseg - INFO - Iter [50750/80000] lr: 5.250e-07, eta: 15:01:50, time: 1.845, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8263, decode.loss_mask: 0.7433, decode.loss_dice: 1.1821, decode.d0.loss_cls: 2.6548, decode.d0.loss_mask: 0.7605, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 0.9102, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2750, decode.d2.loss_cls: 0.8558, decode.d2.loss_mask: 0.7632, decode.d2.loss_dice: 1.2283, decode.d3.loss_cls: 0.8457, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.8390, decode.d4.loss_mask: 0.7496, decode.d4.loss_dice: 1.1925, decode.d5.loss_cls: 0.8329, decode.d5.loss_mask: 0.7469, decode.d5.loss_dice: 1.1888, decode.d6.loss_cls: 0.8237, decode.d6.loss_mask: 0.7476, decode.d6.loss_dice: 1.1837, decode.d7.loss_cls: 0.8279, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.8214, decode.d8.loss_mask: 0.7454, decode.d8.loss_dice: 1.1821, loss: 29.9509 2022-04-29 22:26:22,892 - mmseg - INFO - Iter [50800/80000] lr: 5.241e-07, eta: 15:00:17, time: 1.844, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7904, decode.loss_mask: 0.7538, decode.loss_dice: 1.1809, decode.d0.loss_cls: 2.5580, decode.d0.loss_mask: 0.7598, decode.d0.loss_dice: 1.3651, decode.d1.loss_cls: 0.8593, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2798, decode.d2.loss_cls: 0.8233, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2270, decode.d3.loss_cls: 0.8041, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.2032, decode.d4.loss_cls: 0.8003, decode.d4.loss_mask: 0.7618, decode.d4.loss_dice: 1.1983, decode.d5.loss_cls: 0.7957, decode.d5.loss_mask: 0.7575, decode.d5.loss_dice: 1.1928, decode.d6.loss_cls: 0.7922, decode.d6.loss_mask: 0.7516, decode.d6.loss_dice: 1.1819, decode.d7.loss_cls: 0.7868, decode.d7.loss_mask: 0.7515, decode.d7.loss_dice: 1.1809, decode.d8.loss_cls: 0.7862, decode.d8.loss_mask: 0.7551, decode.d8.loss_dice: 1.1780, loss: 29.5908 2022-04-29 22:27:54,707 - mmseg - INFO - Iter [50850/80000] lr: 5.232e-07, eta: 14:58:44, time: 1.836, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8146, decode.loss_mask: 0.7536, decode.loss_dice: 1.1872, decode.d0.loss_cls: 2.6721, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3789, decode.d1.loss_cls: 0.9056, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.2853, decode.d2.loss_cls: 0.8441, decode.d2.loss_mask: 0.7732, decode.d2.loss_dice: 1.2327, decode.d3.loss_cls: 0.8330, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.2040, decode.d4.loss_cls: 0.8217, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.2050, decode.d5.loss_cls: 0.8293, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.1979, decode.d6.loss_cls: 0.8173, decode.d6.loss_mask: 0.7560, decode.d6.loss_dice: 1.1818, decode.d7.loss_cls: 0.8117, decode.d7.loss_mask: 0.7582, decode.d7.loss_dice: 1.1876, decode.d8.loss_cls: 0.8133, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1840, loss: 30.0418 2022-04-29 22:29:26,758 - mmseg - INFO - Iter [50900/80000] lr: 5.223e-07, eta: 14:57:12, time: 1.840, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8019, decode.loss_mask: 0.7742, decode.loss_dice: 1.1734, decode.d0.loss_cls: 2.6099, decode.d0.loss_mask: 0.7840, decode.d0.loss_dice: 1.3562, decode.d1.loss_cls: 0.8831, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.2718, decode.d2.loss_cls: 0.8318, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.2210, decode.d3.loss_cls: 0.8192, decode.d3.loss_mask: 0.7845, decode.d3.loss_dice: 1.1927, decode.d4.loss_cls: 0.8112, decode.d4.loss_mask: 0.7811, decode.d4.loss_dice: 1.1970, decode.d5.loss_cls: 0.8156, decode.d5.loss_mask: 0.7733, decode.d5.loss_dice: 1.1904, decode.d6.loss_cls: 0.8024, decode.d6.loss_mask: 0.7738, decode.d6.loss_dice: 1.1755, decode.d7.loss_cls: 0.7981, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.1834, decode.d8.loss_cls: 0.8017, decode.d8.loss_mask: 0.7740, decode.d8.loss_dice: 1.1730, loss: 29.9337 2022-04-29 22:30:59,114 - mmseg - INFO - Iter [50950/80000] lr: 5.214e-07, eta: 14:55:39, time: 1.847, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7730, decode.loss_mask: 0.7845, decode.loss_dice: 1.2072, decode.d0.loss_cls: 2.6168, decode.d0.loss_mask: 0.7817, decode.d0.loss_dice: 1.3625, decode.d1.loss_cls: 0.8654, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2910, decode.d2.loss_cls: 0.8094, decode.d2.loss_mask: 0.8014, decode.d2.loss_dice: 1.2579, decode.d3.loss_cls: 0.7953, decode.d3.loss_mask: 0.7885, decode.d3.loss_dice: 1.2239, decode.d4.loss_cls: 0.7820, decode.d4.loss_mask: 0.7883, decode.d4.loss_dice: 1.2205, decode.d5.loss_cls: 0.7824, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.2177, decode.d6.loss_cls: 0.7772, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.2048, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7848, decode.d7.loss_dice: 1.2023, decode.d8.loss_cls: 0.7752, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.2016, loss: 30.0291 2022-04-29 22:32:31,077 - mmseg - INFO - Saving checkpoint at 51000 iterations 2022-04-29 22:32:54,480 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 22:32:54,483 - mmseg - INFO - Iter [51000/80000] lr: 5.205e-07, eta: 14:54:20, time: 2.306, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7924, decode.loss_mask: 0.7545, decode.loss_dice: 1.1761, decode.d0.loss_cls: 2.5868, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3647, decode.d1.loss_cls: 0.8747, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.2855, decode.d2.loss_cls: 0.8272, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8109, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.2019, decode.d4.loss_cls: 0.8050, decode.d4.loss_mask: 0.7623, decode.d4.loss_dice: 1.1987, decode.d5.loss_cls: 0.7972, decode.d5.loss_mask: 0.7650, decode.d5.loss_dice: 1.1936, decode.d6.loss_cls: 0.7906, decode.d6.loss_mask: 0.7639, decode.d6.loss_dice: 1.1835, decode.d7.loss_cls: 0.7940, decode.d7.loss_mask: 0.7606, decode.d7.loss_dice: 1.1800, decode.d8.loss_cls: 0.7908, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.1823, loss: 29.7299 2022-04-29 22:34:25,633 - mmseg - INFO - Iter [51050/80000] lr: 5.196e-07, eta: 14:52:46, time: 1.824, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8301, decode.loss_mask: 0.7828, decode.loss_dice: 1.2262, decode.d0.loss_cls: 2.6730, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.4045, decode.d1.loss_cls: 0.9296, decode.d1.loss_mask: 0.8158, decode.d1.loss_dice: 1.3280, decode.d2.loss_cls: 0.8624, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2709, decode.d3.loss_cls: 0.8463, decode.d3.loss_mask: 0.7876, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 0.8427, decode.d4.loss_mask: 0.7877, decode.d4.loss_dice: 1.2429, decode.d5.loss_cls: 0.8404, decode.d5.loss_mask: 0.7850, decode.d5.loss_dice: 1.2406, decode.d6.loss_cls: 0.8346, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.2309, decode.d7.loss_cls: 0.8311, decode.d7.loss_mask: 0.7849, decode.d7.loss_dice: 1.2323, decode.d8.loss_cls: 0.8329, decode.d8.loss_mask: 0.7834, decode.d8.loss_dice: 1.2253, loss: 30.8577 2022-04-29 22:35:55,664 - mmseg - INFO - Iter [51100/80000] lr: 5.187e-07, eta: 14:51:12, time: 1.801, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8144, decode.loss_mask: 0.7562, decode.loss_dice: 1.1899, decode.d0.loss_cls: 2.6371, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3690, decode.d1.loss_cls: 0.9138, decode.d1.loss_mask: 0.7945, decode.d1.loss_dice: 1.2985, decode.d2.loss_cls: 0.8469, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.2452, decode.d3.loss_cls: 0.8421, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.2141, decode.d4.loss_cls: 0.8322, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.2098, decode.d5.loss_cls: 0.8214, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.2057, decode.d6.loss_cls: 0.8189, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.1880, decode.d7.loss_cls: 0.8182, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1877, decode.d8.loss_cls: 0.8127, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1910, loss: 30.1068 2022-04-29 22:37:27,673 - mmseg - INFO - Iter [51150/80000] lr: 5.178e-07, eta: 14:49:40, time: 1.840, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7864, decode.loss_mask: 0.7609, decode.loss_dice: 1.1760, decode.d0.loss_cls: 2.5286, decode.d0.loss_mask: 0.7786, decode.d0.loss_dice: 1.3659, decode.d1.loss_cls: 0.8678, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8204, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.2323, decode.d3.loss_cls: 0.8002, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.2046, decode.d4.loss_cls: 0.7923, decode.d4.loss_mask: 0.7761, decode.d4.loss_dice: 1.2029, decode.d5.loss_cls: 0.7943, decode.d5.loss_mask: 0.7663, decode.d5.loss_dice: 1.1923, decode.d6.loss_cls: 0.7878, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.1839, decode.d7.loss_cls: 0.7891, decode.d7.loss_mask: 0.7638, decode.d7.loss_dice: 1.1814, decode.d8.loss_cls: 0.7813, decode.d8.loss_mask: 0.7644, decode.d8.loss_dice: 1.1864, loss: 29.6890 2022-04-29 22:39:00,195 - mmseg - INFO - Iter [51200/80000] lr: 5.169e-07, eta: 14:48:07, time: 1.850, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7760, decode.loss_mask: 0.7773, decode.loss_dice: 1.1718, decode.d0.loss_cls: 2.5726, decode.d0.loss_mask: 0.7830, decode.d0.loss_dice: 1.3542, decode.d1.loss_cls: 0.8620, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2681, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7970, decode.d2.loss_dice: 1.2137, decode.d3.loss_cls: 0.7977, decode.d3.loss_mask: 0.7910, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7917, decode.d4.loss_mask: 0.7875, decode.d4.loss_dice: 1.1817, decode.d5.loss_cls: 0.7794, decode.d5.loss_mask: 0.7858, decode.d5.loss_dice: 1.1837, decode.d6.loss_cls: 0.7791, decode.d6.loss_mask: 0.7797, decode.d6.loss_dice: 1.1713, decode.d7.loss_cls: 0.7762, decode.d7.loss_mask: 0.7792, decode.d7.loss_dice: 1.1716, decode.d8.loss_cls: 0.7745, decode.d8.loss_mask: 0.7798, decode.d8.loss_dice: 1.1702, loss: 29.6631 2022-04-29 22:40:31,756 - mmseg - INFO - Iter [51250/80000] lr: 5.160e-07, eta: 14:46:34, time: 1.832, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8138, decode.loss_mask: 0.7783, decode.loss_dice: 1.1922, decode.d0.loss_cls: 2.6138, decode.d0.loss_mask: 0.7956, decode.d0.loss_dice: 1.3753, decode.d1.loss_cls: 0.9076, decode.d1.loss_mask: 0.8058, decode.d1.loss_dice: 1.2979, decode.d2.loss_cls: 0.8455, decode.d2.loss_mask: 0.7930, decode.d2.loss_dice: 1.2425, decode.d3.loss_cls: 0.8333, decode.d3.loss_mask: 0.7824, decode.d3.loss_dice: 1.2176, decode.d4.loss_cls: 0.8292, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.2199, decode.d5.loss_cls: 0.8170, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.2139, decode.d6.loss_cls: 0.8162, decode.d6.loss_mask: 0.7744, decode.d6.loss_dice: 1.1974, decode.d7.loss_cls: 0.8117, decode.d7.loss_mask: 0.7755, decode.d7.loss_dice: 1.1990, decode.d8.loss_cls: 0.8051, decode.d8.loss_mask: 0.7755, decode.d8.loss_dice: 1.1900, loss: 30.2797 2022-04-29 22:42:03,258 - mmseg - INFO - Iter [51300/80000] lr: 5.151e-07, eta: 14:45:01, time: 1.830, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8213, decode.loss_mask: 0.7494, decode.loss_dice: 1.1942, decode.d0.loss_cls: 2.6323, decode.d0.loss_mask: 0.7799, decode.d0.loss_dice: 1.3816, decode.d1.loss_cls: 0.8942, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.3116, decode.d2.loss_cls: 0.8432, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.2500, decode.d3.loss_cls: 0.8347, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.2260, decode.d4.loss_cls: 0.8265, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.2170, decode.d5.loss_cls: 0.8224, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.2117, decode.d6.loss_cls: 0.8176, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1981, decode.d7.loss_cls: 0.8157, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.2033, decode.d8.loss_cls: 0.8140, decode.d8.loss_mask: 0.7501, decode.d8.loss_dice: 1.2027, loss: 30.1340 2022-04-29 22:43:34,107 - mmseg - INFO - Iter [51350/80000] lr: 5.142e-07, eta: 14:43:27, time: 1.817, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7979, decode.loss_mask: 0.7571, decode.loss_dice: 1.2090, decode.d0.loss_cls: 2.5959, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3727, decode.d1.loss_cls: 0.8696, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.3036, decode.d2.loss_cls: 0.8161, decode.d2.loss_mask: 0.7758, decode.d2.loss_dice: 1.2596, decode.d3.loss_cls: 0.8045, decode.d3.loss_mask: 0.7679, decode.d3.loss_dice: 1.2262, decode.d4.loss_cls: 0.7996, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.2221, decode.d5.loss_cls: 0.8023, decode.d5.loss_mask: 0.7647, decode.d5.loss_dice: 1.2210, decode.d6.loss_cls: 0.7964, decode.d6.loss_mask: 0.7628, decode.d6.loss_dice: 1.2058, decode.d7.loss_cls: 0.7939, decode.d7.loss_mask: 0.7649, decode.d7.loss_dice: 1.2104, decode.d8.loss_cls: 0.7915, decode.d8.loss_mask: 0.7644, decode.d8.loss_dice: 1.2109, loss: 30.0035 2022-04-29 22:45:05,606 - mmseg - INFO - Iter [51400/80000] lr: 5.133e-07, eta: 14:41:54, time: 1.830, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7955, decode.loss_mask: 0.7572, decode.loss_dice: 1.1680, decode.d0.loss_cls: 2.5716, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.3316, decode.d1.loss_cls: 0.8950, decode.d1.loss_mask: 0.7906, decode.d1.loss_dice: 1.2570, decode.d2.loss_cls: 0.8368, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.2055, decode.d3.loss_cls: 0.8250, decode.d3.loss_mask: 0.7641, decode.d3.loss_dice: 1.1766, decode.d4.loss_cls: 0.8124, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.1797, decode.d5.loss_cls: 0.8133, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.1694, decode.d6.loss_cls: 0.8062, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1538, decode.d7.loss_cls: 0.8051, decode.d7.loss_mask: 0.7577, decode.d7.loss_dice: 1.1618, decode.d8.loss_cls: 0.7985, decode.d8.loss_mask: 0.7605, decode.d8.loss_dice: 1.1694, loss: 29.5777 2022-04-29 22:46:35,335 - mmseg - INFO - Iter [51450/80000] lr: 5.124e-07, eta: 14:40:20, time: 1.794, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7923, decode.loss_mask: 0.7398, decode.loss_dice: 1.1524, decode.d0.loss_cls: 2.5492, decode.d0.loss_mask: 0.7470, decode.d0.loss_dice: 1.3307, decode.d1.loss_cls: 0.8916, decode.d1.loss_mask: 0.7719, decode.d1.loss_dice: 1.2421, decode.d2.loss_cls: 0.8216, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 0.8036, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1705, decode.d4.loss_cls: 0.7948, decode.d4.loss_mask: 0.7436, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.7898, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.1640, decode.d6.loss_cls: 0.7885, decode.d6.loss_mask: 0.7472, decode.d6.loss_dice: 1.1488, decode.d7.loss_cls: 0.7886, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1532, decode.d8.loss_cls: 0.7882, decode.d8.loss_mask: 0.7433, decode.d8.loss_dice: 1.1515, loss: 29.1771 2022-04-29 22:48:05,401 - mmseg - INFO - Iter [51500/80000] lr: 5.115e-07, eta: 14:38:46, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8343, decode.loss_mask: 0.7497, decode.loss_dice: 1.1811, decode.d0.loss_cls: 2.6402, decode.d0.loss_mask: 0.7640, decode.d0.loss_dice: 1.3625, decode.d1.loss_cls: 0.9251, decode.d1.loss_mask: 0.7923, decode.d1.loss_dice: 1.2768, decode.d2.loss_cls: 0.8602, decode.d2.loss_mask: 0.7735, decode.d2.loss_dice: 1.2236, decode.d3.loss_cls: 0.8450, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.8368, decode.d4.loss_mask: 0.7595, decode.d4.loss_dice: 1.1989, decode.d5.loss_cls: 0.8337, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.1970, decode.d6.loss_cls: 0.8248, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1862, decode.d7.loss_cls: 0.8249, decode.d7.loss_mask: 0.7534, decode.d7.loss_dice: 1.1878, decode.d8.loss_cls: 0.8254, decode.d8.loss_mask: 0.7506, decode.d8.loss_dice: 1.1799, loss: 30.0641 2022-04-29 22:49:37,808 - mmseg - INFO - Iter [51550/80000] lr: 5.106e-07, eta: 14:37:14, time: 1.848, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8059, decode.loss_mask: 0.7563, decode.loss_dice: 1.1738, decode.d0.loss_cls: 2.5842, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3709, decode.d1.loss_cls: 0.8826, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.2834, decode.d2.loss_cls: 0.8228, decode.d2.loss_mask: 0.7797, decode.d2.loss_dice: 1.2293, decode.d3.loss_cls: 0.8168, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.1978, decode.d4.loss_cls: 0.8119, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.2025, decode.d5.loss_cls: 0.8131, decode.d5.loss_mask: 0.7627, decode.d5.loss_dice: 1.1892, decode.d6.loss_cls: 0.8039, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.1809, decode.d7.loss_cls: 0.8008, decode.d7.loss_mask: 0.7600, decode.d7.loss_dice: 1.1839, decode.d8.loss_cls: 0.8039, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1796, loss: 29.8241 2022-04-29 22:51:09,153 - mmseg - INFO - Iter [51600/80000] lr: 5.097e-07, eta: 14:35:41, time: 1.827, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8027, decode.loss_mask: 0.7891, decode.loss_dice: 1.1996, decode.d0.loss_cls: 2.5528, decode.d0.loss_mask: 0.8024, decode.d0.loss_dice: 1.3863, decode.d1.loss_cls: 0.8930, decode.d1.loss_mask: 0.8177, decode.d1.loss_dice: 1.3029, decode.d2.loss_cls: 0.8384, decode.d2.loss_mask: 0.8108, decode.d2.loss_dice: 1.2528, decode.d3.loss_cls: 0.8244, decode.d3.loss_mask: 0.7966, decode.d3.loss_dice: 1.2208, decode.d4.loss_cls: 0.8141, decode.d4.loss_mask: 0.7966, decode.d4.loss_dice: 1.2227, decode.d5.loss_cls: 0.8137, decode.d5.loss_mask: 0.7953, decode.d5.loss_dice: 1.2183, decode.d6.loss_cls: 0.7986, decode.d6.loss_mask: 0.7933, decode.d6.loss_dice: 1.2048, decode.d7.loss_cls: 0.8042, decode.d7.loss_mask: 0.7871, decode.d7.loss_dice: 1.2061, decode.d8.loss_cls: 0.8033, decode.d8.loss_mask: 0.7887, decode.d8.loss_dice: 1.2077, loss: 30.3448 2022-04-29 22:52:39,802 - mmseg - INFO - Iter [51650/80000] lr: 5.088e-07, eta: 14:34:07, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7506, decode.loss_mask: 0.7722, decode.loss_dice: 1.1816, decode.d0.loss_cls: 2.5416, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.3484, decode.d1.loss_cls: 0.8340, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2863, decode.d2.loss_cls: 0.7836, decode.d2.loss_mask: 0.7889, decode.d2.loss_dice: 1.2329, decode.d3.loss_cls: 0.7689, decode.d3.loss_mask: 0.7853, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.7612, decode.d4.loss_mask: 0.7780, decode.d4.loss_dice: 1.1940, decode.d5.loss_cls: 0.7573, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.1971, decode.d6.loss_cls: 0.7547, decode.d6.loss_mask: 0.7781, decode.d6.loss_dice: 1.1875, decode.d7.loss_cls: 0.7562, decode.d7.loss_mask: 0.7732, decode.d7.loss_dice: 1.1869, decode.d8.loss_cls: 0.7472, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.1861, loss: 29.4866 2022-04-29 22:54:10,618 - mmseg - INFO - Iter [51700/80000] lr: 5.079e-07, eta: 14:32:34, time: 1.817, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7971, decode.loss_mask: 0.7643, decode.loss_dice: 1.1809, decode.d0.loss_cls: 2.5941, decode.d0.loss_mask: 0.7670, decode.d0.loss_dice: 1.3671, decode.d1.loss_cls: 0.8973, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.2830, decode.d2.loss_cls: 0.8324, decode.d2.loss_mask: 0.7776, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8227, decode.d3.loss_mask: 0.7685, decode.d3.loss_dice: 1.1995, decode.d4.loss_cls: 0.8178, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.1980, decode.d5.loss_cls: 0.8077, decode.d5.loss_mask: 0.7708, decode.d5.loss_dice: 1.1938, decode.d6.loss_cls: 0.8045, decode.d6.loss_mask: 0.7639, decode.d6.loss_dice: 1.1833, decode.d7.loss_cls: 0.8016, decode.d7.loss_mask: 0.7601, decode.d7.loss_dice: 1.1810, decode.d8.loss_cls: 0.8021, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1836, loss: 29.8745 2022-04-29 22:55:42,390 - mmseg - INFO - Iter [51750/80000] lr: 5.070e-07, eta: 14:31:01, time: 1.835, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8045, decode.loss_mask: 0.7682, decode.loss_dice: 1.1914, decode.d0.loss_cls: 2.5426, decode.d0.loss_mask: 0.7863, decode.d0.loss_dice: 1.3706, decode.d1.loss_cls: 0.8766, decode.d1.loss_mask: 0.8022, decode.d1.loss_dice: 1.2918, decode.d2.loss_cls: 0.8283, decode.d2.loss_mask: 0.7884, decode.d2.loss_dice: 1.2408, decode.d3.loss_cls: 0.8161, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2136, decode.d4.loss_cls: 0.8122, decode.d4.loss_mask: 0.7753, decode.d4.loss_dice: 1.2095, decode.d5.loss_cls: 0.8069, decode.d5.loss_mask: 0.7750, decode.d5.loss_dice: 1.2112, decode.d6.loss_cls: 0.8043, decode.d6.loss_mask: 0.7712, decode.d6.loss_dice: 1.1899, decode.d7.loss_cls: 0.8083, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.1907, decode.d8.loss_cls: 0.7977, decode.d8.loss_mask: 0.7711, decode.d8.loss_dice: 1.1943, loss: 29.9877 2022-04-29 22:57:17,233 - mmseg - INFO - Iter [51800/80000] lr: 5.061e-07, eta: 14:29:30, time: 1.895, data_time: 0.068, memory: 64979, decode.loss_cls: 0.7813, decode.loss_mask: 0.7453, decode.loss_dice: 1.1367, decode.d0.loss_cls: 2.5862, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3155, decode.d1.loss_cls: 0.8720, decode.d1.loss_mask: 0.7746, decode.d1.loss_dice: 1.2316, decode.d2.loss_cls: 0.8092, decode.d2.loss_mask: 0.7692, decode.d2.loss_dice: 1.1840, decode.d3.loss_cls: 0.8006, decode.d3.loss_mask: 0.7512, decode.d3.loss_dice: 1.1530, decode.d4.loss_cls: 0.7951, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.1494, decode.d5.loss_cls: 0.7942, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1474, decode.d6.loss_cls: 0.7868, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1362, decode.d7.loss_cls: 0.7858, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.1423, decode.d8.loss_cls: 0.7874, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.1367, loss: 29.0578 2022-04-29 22:58:47,470 - mmseg - INFO - Iter [51850/80000] lr: 5.052e-07, eta: 14:27:56, time: 1.807, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7875, decode.loss_mask: 0.7824, decode.loss_dice: 1.1699, decode.d0.loss_cls: 2.5605, decode.d0.loss_mask: 0.7962, decode.d0.loss_dice: 1.3487, decode.d1.loss_cls: 0.8822, decode.d1.loss_mask: 0.8106, decode.d1.loss_dice: 1.2650, decode.d2.loss_cls: 0.8244, decode.d2.loss_mask: 0.7988, decode.d2.loss_dice: 1.2120, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7867, decode.d3.loss_dice: 1.1822, decode.d4.loss_cls: 0.8099, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.1840, decode.d5.loss_cls: 0.8059, decode.d5.loss_mask: 0.7821, decode.d5.loss_dice: 1.1776, decode.d6.loss_cls: 0.8014, decode.d6.loss_mask: 0.7799, decode.d6.loss_dice: 1.1681, decode.d7.loss_cls: 0.7928, decode.d7.loss_mask: 0.7785, decode.d7.loss_dice: 1.1694, decode.d8.loss_cls: 0.7907, decode.d8.loss_mask: 0.7829, decode.d8.loss_dice: 1.1704, loss: 29.7962 2022-04-29 23:00:19,066 - mmseg - INFO - Iter [51900/80000] lr: 5.043e-07, eta: 14:26:23, time: 1.833, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7790, decode.loss_mask: 0.7583, decode.loss_dice: 1.1621, decode.d0.loss_cls: 2.5514, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.3415, decode.d1.loss_cls: 0.8732, decode.d1.loss_mask: 0.7922, decode.d1.loss_dice: 1.2526, decode.d2.loss_cls: 0.8202, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2046, decode.d3.loss_cls: 0.8041, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.1855, decode.d4.loss_cls: 0.7944, decode.d4.loss_mask: 0.7659, decode.d4.loss_dice: 1.1768, decode.d5.loss_cls: 0.7953, decode.d5.loss_mask: 0.7598, decode.d5.loss_dice: 1.1704, decode.d6.loss_cls: 0.7868, decode.d6.loss_mask: 0.7569, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7878, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1604, decode.d8.loss_cls: 0.7785, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1649, loss: 29.4063 2022-04-29 23:01:49,925 - mmseg - INFO - Iter [51950/80000] lr: 5.034e-07, eta: 14:24:50, time: 1.815, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7981, decode.loss_mask: 0.7657, decode.loss_dice: 1.1693, decode.d0.loss_cls: 2.5935, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.3469, decode.d1.loss_cls: 0.9052, decode.d1.loss_mask: 0.7934, decode.d1.loss_dice: 1.2629, decode.d2.loss_cls: 0.8411, decode.d2.loss_mask: 0.7748, decode.d2.loss_dice: 1.2060, decode.d3.loss_cls: 0.8249, decode.d3.loss_mask: 0.7639, decode.d3.loss_dice: 1.1790, decode.d4.loss_cls: 0.8138, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.1809, decode.d5.loss_cls: 0.8050, decode.d5.loss_mask: 0.7700, decode.d5.loss_dice: 1.1790, decode.d6.loss_cls: 0.7991, decode.d6.loss_mask: 0.7640, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.7933, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1799, decode.d8.loss_cls: 0.7942, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1728, loss: 29.7226 2022-04-29 23:03:20,521 - mmseg - INFO - Saving checkpoint at 52000 iterations 2022-04-29 23:03:39,309 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 23:03:39,313 - mmseg - INFO - Iter [52000/80000] lr: 5.025e-07, eta: 14:23:26, time: 2.187, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8004, decode.loss_mask: 0.7564, decode.loss_dice: 1.1709, decode.d0.loss_cls: 2.6251, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.3447, decode.d1.loss_cls: 0.8942, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2691, decode.d2.loss_cls: 0.8294, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2135, decode.d3.loss_cls: 0.8086, decode.d3.loss_mask: 0.7665, decode.d3.loss_dice: 1.1929, decode.d4.loss_cls: 0.8098, decode.d4.loss_mask: 0.7627, decode.d4.loss_dice: 1.1903, decode.d5.loss_cls: 0.7996, decode.d5.loss_mask: 0.7624, decode.d5.loss_dice: 1.1797, decode.d6.loss_cls: 0.7949, decode.d6.loss_mask: 0.7588, decode.d6.loss_dice: 1.1744, decode.d7.loss_cls: 0.8035, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1744, decode.d8.loss_cls: 0.7985, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1689, loss: 29.7152 2022-04-29 23:05:09,705 - mmseg - INFO - Iter [52050/80000] lr: 5.016e-07, eta: 14:21:53, time: 1.811, data_time: 0.017, memory: 64979, decode.loss_cls: 0.8118, decode.loss_mask: 0.7603, decode.loss_dice: 1.1777, decode.d0.loss_cls: 2.6076, decode.d0.loss_mask: 0.7720, decode.d0.loss_dice: 1.3627, decode.d1.loss_cls: 0.9071, decode.d1.loss_mask: 0.7913, decode.d1.loss_dice: 1.2756, decode.d2.loss_cls: 0.8366, decode.d2.loss_mask: 0.7810, decode.d2.loss_dice: 1.2249, decode.d3.loss_cls: 0.8204, decode.d3.loss_mask: 0.7708, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.8148, decode.d4.loss_mask: 0.7657, decode.d4.loss_dice: 1.1923, decode.d5.loss_cls: 0.8221, decode.d5.loss_mask: 0.7595, decode.d5.loss_dice: 1.1828, decode.d6.loss_cls: 0.8147, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.1800, decode.d7.loss_cls: 0.8112, decode.d7.loss_mask: 0.7612, decode.d7.loss_dice: 1.1769, decode.d8.loss_cls: 0.8138, decode.d8.loss_mask: 0.7613, decode.d8.loss_dice: 1.1784, loss: 29.8892 2022-04-29 23:06:40,560 - mmseg - INFO - Iter [52100/80000] lr: 5.008e-07, eta: 14:20:19, time: 1.817, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7730, decode.loss_mask: 0.7683, decode.loss_dice: 1.1706, decode.d0.loss_cls: 2.5812, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3489, decode.d1.loss_cls: 0.8520, decode.d1.loss_mask: 0.8023, decode.d1.loss_dice: 1.2638, decode.d2.loss_cls: 0.7975, decode.d2.loss_mask: 0.7896, decode.d2.loss_dice: 1.2170, decode.d3.loss_cls: 0.7848, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 0.7787, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.1846, decode.d5.loss_cls: 0.7783, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.1811, decode.d6.loss_cls: 0.7693, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.1729, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.1710, decode.d8.loss_cls: 0.7697, decode.d8.loss_mask: 0.7658, decode.d8.loss_dice: 1.1761, loss: 29.4946 2022-04-29 23:08:10,631 - mmseg - INFO - Iter [52150/80000] lr: 4.999e-07, eta: 14:18:45, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7742, decode.loss_mask: 0.7487, decode.loss_dice: 1.1490, decode.d0.loss_cls: 2.5584, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.8800, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2419, decode.d2.loss_cls: 0.8177, decode.d2.loss_mask: 0.7596, decode.d2.loss_dice: 1.1885, decode.d3.loss_cls: 0.7991, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.1606, decode.d4.loss_cls: 0.7896, decode.d4.loss_mask: 0.7462, decode.d4.loss_dice: 1.1562, decode.d5.loss_cls: 0.7840, decode.d5.loss_mask: 0.7484, decode.d5.loss_dice: 1.1556, decode.d6.loss_cls: 0.7832, decode.d6.loss_mask: 0.7444, decode.d6.loss_dice: 1.1457, decode.d7.loss_cls: 0.7818, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.1483, decode.d8.loss_cls: 0.7773, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1466, loss: 29.0808 2022-04-29 23:09:40,952 - mmseg - INFO - Iter [52200/80000] lr: 4.990e-07, eta: 14:17:12, time: 1.807, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8247, decode.loss_mask: 0.7480, decode.loss_dice: 1.2089, decode.d0.loss_cls: 2.7017, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3934, decode.d1.loss_cls: 0.9267, decode.d1.loss_mask: 0.7792, decode.d1.loss_dice: 1.3043, decode.d2.loss_cls: 0.8565, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.2578, decode.d3.loss_cls: 0.8432, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.2281, decode.d4.loss_cls: 0.8337, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.2225, decode.d5.loss_cls: 0.8284, decode.d5.loss_mask: 0.7506, decode.d5.loss_dice: 1.2168, decode.d6.loss_cls: 0.8317, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.2086, decode.d7.loss_cls: 0.8307, decode.d7.loss_mask: 0.7472, decode.d7.loss_dice: 1.2055, decode.d8.loss_cls: 0.8263, decode.d8.loss_mask: 0.7499, decode.d8.loss_dice: 1.2068, loss: 30.3158 2022-04-29 23:11:09,844 - mmseg - INFO - Iter [52250/80000] lr: 4.981e-07, eta: 14:15:37, time: 1.778, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7825, decode.loss_mask: 0.7692, decode.loss_dice: 1.1541, decode.d0.loss_cls: 2.5826, decode.d0.loss_mask: 0.7727, decode.d0.loss_dice: 1.3356, decode.d1.loss_cls: 0.8797, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2506, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.1962, decode.d3.loss_cls: 0.8055, decode.d3.loss_mask: 0.7758, decode.d3.loss_dice: 1.1782, decode.d4.loss_cls: 0.7966, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.7912, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.1671, decode.d6.loss_cls: 0.7851, decode.d6.loss_mask: 0.7672, decode.d6.loss_dice: 1.1616, decode.d7.loss_cls: 0.7826, decode.d7.loss_mask: 0.7646, decode.d7.loss_dice: 1.1626, decode.d8.loss_cls: 0.7890, decode.d8.loss_mask: 0.7632, decode.d8.loss_dice: 1.1555, loss: 29.4894 2022-04-29 23:12:39,031 - mmseg - INFO - Iter [52300/80000] lr: 4.972e-07, eta: 14:14:03, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8052, decode.loss_mask: 0.7515, decode.loss_dice: 1.1913, decode.d0.loss_cls: 2.5775, decode.d0.loss_mask: 0.7662, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.9009, decode.d1.loss_mask: 0.7834, decode.d1.loss_dice: 1.2877, decode.d2.loss_cls: 0.8488, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2287, decode.d3.loss_cls: 0.8232, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.2084, decode.d4.loss_cls: 0.8225, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.2006, decode.d5.loss_cls: 0.8159, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.8051, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1892, decode.d7.loss_cls: 0.7992, decode.d7.loss_mask: 0.7521, decode.d7.loss_dice: 1.1969, decode.d8.loss_cls: 0.8052, decode.d8.loss_mask: 0.7526, decode.d8.loss_dice: 1.1947, loss: 29.8633 2022-04-29 23:14:09,441 - mmseg - INFO - Iter [52350/80000] lr: 4.963e-07, eta: 14:12:29, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7706, decode.loss_mask: 0.7437, decode.loss_dice: 1.1486, decode.d0.loss_cls: 2.5877, decode.d0.loss_mask: 0.7552, decode.d0.loss_dice: 1.3261, decode.d1.loss_cls: 0.8696, decode.d1.loss_mask: 0.7792, decode.d1.loss_dice: 1.2406, decode.d2.loss_cls: 0.7978, decode.d2.loss_mask: 0.7576, decode.d2.loss_dice: 1.1937, decode.d3.loss_cls: 0.7886, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1686, decode.d4.loss_cls: 0.7892, decode.d4.loss_mask: 0.7467, decode.d4.loss_dice: 1.1648, decode.d5.loss_cls: 0.7826, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1597, decode.d6.loss_cls: 0.7831, decode.d6.loss_mask: 0.7404, decode.d6.loss_dice: 1.1527, decode.d7.loss_cls: 0.7774, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1481, decode.d8.loss_cls: 0.7792, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.1493, loss: 29.0761 2022-04-29 23:15:39,095 - mmseg - INFO - Iter [52400/80000] lr: 4.954e-07, eta: 14:10:55, time: 1.793, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7991, decode.loss_mask: 0.7593, decode.loss_dice: 1.1930, decode.d0.loss_cls: 2.5667, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3728, decode.d1.loss_cls: 0.8905, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.3013, decode.d2.loss_cls: 0.8286, decode.d2.loss_mask: 0.7809, decode.d2.loss_dice: 1.2428, decode.d3.loss_cls: 0.8134, decode.d3.loss_mask: 0.7677, decode.d3.loss_dice: 1.2138, decode.d4.loss_cls: 0.8045, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.2111, decode.d5.loss_cls: 0.8012, decode.d5.loss_mask: 0.7624, decode.d5.loss_dice: 1.2042, decode.d6.loss_cls: 0.7986, decode.d6.loss_mask: 0.7580, decode.d6.loss_dice: 1.1914, decode.d7.loss_cls: 0.8004, decode.d7.loss_mask: 0.7596, decode.d7.loss_dice: 1.1902, decode.d8.loss_cls: 0.7992, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1971, loss: 29.8935 2022-04-29 23:17:09,513 - mmseg - INFO - Iter [52450/80000] lr: 4.945e-07, eta: 14:09:22, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8011, decode.loss_mask: 0.7490, decode.loss_dice: 1.1812, decode.d0.loss_cls: 2.6191, decode.d0.loss_mask: 0.7548, decode.d0.loss_dice: 1.3662, decode.d1.loss_cls: 0.8894, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2900, decode.d2.loss_cls: 0.8353, decode.d2.loss_mask: 0.7631, decode.d2.loss_dice: 1.2301, decode.d3.loss_cls: 0.8282, decode.d3.loss_mask: 0.7555, decode.d3.loss_dice: 1.2014, decode.d4.loss_cls: 0.8139, decode.d4.loss_mask: 0.7580, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.8115, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 0.8059, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1766, decode.d7.loss_cls: 0.8031, decode.d7.loss_mask: 0.7510, decode.d7.loss_dice: 1.1825, decode.d8.loss_cls: 0.8041, decode.d8.loss_mask: 0.7520, decode.d8.loss_dice: 1.1840, loss: 29.7838 2022-04-29 23:18:40,348 - mmseg - INFO - Iter [52500/80000] lr: 4.936e-07, eta: 14:07:48, time: 1.816, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7882, decode.loss_mask: 0.7753, decode.loss_dice: 1.1505, decode.d0.loss_cls: 2.5776, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.3274, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2413, decode.d2.loss_cls: 0.8223, decode.d2.loss_mask: 0.7890, decode.d2.loss_dice: 1.1864, decode.d3.loss_cls: 0.8041, decode.d3.loss_mask: 0.7831, decode.d3.loss_dice: 1.1633, decode.d4.loss_cls: 0.8011, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.1636, decode.d5.loss_cls: 0.7971, decode.d5.loss_mask: 0.7755, decode.d5.loss_dice: 1.1574, decode.d6.loss_cls: 0.7938, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.1472, decode.d7.loss_cls: 0.7904, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.1540, decode.d8.loss_cls: 0.7885, decode.d8.loss_mask: 0.7742, decode.d8.loss_dice: 1.1469, loss: 29.4917 2022-04-29 23:20:11,480 - mmseg - INFO - Iter [52550/80000] lr: 4.927e-07, eta: 14:06:15, time: 1.823, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7718, decode.loss_mask: 0.7510, decode.loss_dice: 1.1622, decode.d0.loss_cls: 2.5975, decode.d0.loss_mask: 0.7637, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8524, decode.d1.loss_mask: 0.7908, decode.d1.loss_dice: 1.2641, decode.d2.loss_cls: 0.7946, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.2057, decode.d3.loss_cls: 0.7910, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.1815, decode.d4.loss_cls: 0.7801, decode.d4.loss_mask: 0.7605, decode.d4.loss_dice: 1.1824, decode.d5.loss_cls: 0.7726, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.1724, decode.d6.loss_cls: 0.7724, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1610, decode.d7.loss_cls: 0.7712, decode.d7.loss_mask: 0.7522, decode.d7.loss_dice: 1.1597, decode.d8.loss_cls: 0.7709, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.1586, loss: 29.2475 2022-04-29 23:21:42,454 - mmseg - INFO - Iter [52600/80000] lr: 4.918e-07, eta: 14:04:42, time: 1.819, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7584, decode.loss_mask: 0.7502, decode.loss_dice: 1.1368, decode.d0.loss_cls: 2.5404, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3178, decode.d1.loss_cls: 0.8408, decode.d1.loss_mask: 0.7794, decode.d1.loss_dice: 1.2386, decode.d2.loss_cls: 0.7907, decode.d2.loss_mask: 0.7658, decode.d2.loss_dice: 1.1905, decode.d3.loss_cls: 0.7791, decode.d3.loss_mask: 0.7568, decode.d3.loss_dice: 1.1629, decode.d4.loss_cls: 0.7771, decode.d4.loss_mask: 0.7559, decode.d4.loss_dice: 1.1552, decode.d5.loss_cls: 0.7671, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.1533, decode.d6.loss_cls: 0.7644, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.1387, decode.d7.loss_cls: 0.7604, decode.d7.loss_mask: 0.7488, decode.d7.loss_dice: 1.1356, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7472, decode.d8.loss_dice: 1.1360, loss: 28.8694 2022-04-29 23:23:11,797 - mmseg - INFO - Iter [52650/80000] lr: 4.909e-07, eta: 14:03:08, time: 1.787, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7772, decode.loss_mask: 0.7702, decode.loss_dice: 1.1738, decode.d0.loss_cls: 2.5520, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3515, decode.d1.loss_cls: 0.8670, decode.d1.loss_mask: 0.7994, decode.d1.loss_dice: 1.2697, decode.d2.loss_cls: 0.8050, decode.d2.loss_mask: 0.7831, decode.d2.loss_dice: 1.2191, decode.d3.loss_cls: 0.7932, decode.d3.loss_mask: 0.7817, decode.d3.loss_dice: 1.1864, decode.d4.loss_cls: 0.7825, decode.d4.loss_mask: 0.7765, decode.d4.loss_dice: 1.1930, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.1850, decode.d6.loss_cls: 0.7777, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.1731, decode.d7.loss_cls: 0.7718, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1762, decode.d8.loss_cls: 0.7766, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1755, loss: 29.5583 2022-04-29 23:24:41,746 - mmseg - INFO - Iter [52700/80000] lr: 4.900e-07, eta: 14:01:34, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8315, decode.loss_mask: 0.7577, decode.loss_dice: 1.1938, decode.d0.loss_cls: 2.6026, decode.d0.loss_mask: 0.7755, decode.d0.loss_dice: 1.3800, decode.d1.loss_cls: 0.9174, decode.d1.loss_mask: 0.8039, decode.d1.loss_dice: 1.2961, decode.d2.loss_cls: 0.8615, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.2407, decode.d3.loss_cls: 0.8453, decode.d3.loss_mask: 0.7726, decode.d3.loss_dice: 1.2081, decode.d4.loss_cls: 0.8358, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.2030, decode.d5.loss_cls: 0.8304, decode.d5.loss_mask: 0.7694, decode.d5.loss_dice: 1.2037, decode.d6.loss_cls: 0.8292, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1878, decode.d7.loss_cls: 0.8266, decode.d7.loss_mask: 0.7641, decode.d7.loss_dice: 1.1871, decode.d8.loss_cls: 0.8268, decode.d8.loss_mask: 0.7628, decode.d8.loss_dice: 1.1888, loss: 30.2167 2022-04-29 23:26:11,802 - mmseg - INFO - Iter [52750/80000] lr: 4.891e-07, eta: 14:00:00, time: 1.801, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8168, decode.loss_mask: 0.7750, decode.loss_dice: 1.2120, decode.d0.loss_cls: 2.5959, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.3931, decode.d1.loss_cls: 0.9182, decode.d1.loss_mask: 0.8046, decode.d1.loss_dice: 1.3180, decode.d2.loss_cls: 0.8500, decode.d2.loss_mask: 0.7955, decode.d2.loss_dice: 1.2589, decode.d3.loss_cls: 0.8345, decode.d3.loss_mask: 0.7893, decode.d3.loss_dice: 1.2369, decode.d4.loss_cls: 0.8310, decode.d4.loss_mask: 0.7872, decode.d4.loss_dice: 1.2341, decode.d5.loss_cls: 0.8286, decode.d5.loss_mask: 0.7879, decode.d5.loss_dice: 1.2223, decode.d6.loss_cls: 0.8233, decode.d6.loss_mask: 0.7800, decode.d6.loss_dice: 1.2149, decode.d7.loss_cls: 0.8227, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.2087, decode.d8.loss_cls: 0.8206, decode.d8.loss_mask: 0.7775, decode.d8.loss_dice: 1.2098, loss: 30.5171 2022-04-29 23:27:41,597 - mmseg - INFO - Iter [52800/80000] lr: 4.882e-07, eta: 13:58:26, time: 1.795, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7930, decode.loss_mask: 0.7509, decode.loss_dice: 1.1569, decode.d0.loss_cls: 2.5926, decode.d0.loss_mask: 0.7614, decode.d0.loss_dice: 1.3394, decode.d1.loss_cls: 0.8823, decode.d1.loss_mask: 0.7889, decode.d1.loss_dice: 1.2594, decode.d2.loss_cls: 0.8284, decode.d2.loss_mask: 0.7655, decode.d2.loss_dice: 1.2026, decode.d3.loss_cls: 0.8185, decode.d3.loss_mask: 0.7571, decode.d3.loss_dice: 1.1756, decode.d4.loss_cls: 0.8066, decode.d4.loss_mask: 0.7550, decode.d4.loss_dice: 1.1768, decode.d5.loss_cls: 0.7967, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1660, decode.d6.loss_cls: 0.7905, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1633, decode.d7.loss_cls: 0.7898, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1600, decode.d8.loss_cls: 0.7919, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.1623, loss: 29.4351 2022-04-29 23:29:11,696 - mmseg - INFO - Iter [52850/80000] lr: 4.873e-07, eta: 13:56:53, time: 1.802, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8034, decode.loss_mask: 0.7455, decode.loss_dice: 1.1973, decode.d0.loss_cls: 2.5937, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.3688, decode.d1.loss_cls: 0.8907, decode.d1.loss_mask: 0.7722, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.8362, decode.d2.loss_mask: 0.7597, decode.d2.loss_dice: 1.2427, decode.d3.loss_cls: 0.8223, decode.d3.loss_mask: 0.7507, decode.d3.loss_dice: 1.2164, decode.d4.loss_cls: 0.8188, decode.d4.loss_mask: 0.7484, decode.d4.loss_dice: 1.2124, decode.d5.loss_cls: 0.8157, decode.d5.loss_mask: 0.7485, decode.d5.loss_dice: 1.2068, decode.d6.loss_cls: 0.8098, decode.d6.loss_mask: 0.7452, decode.d6.loss_dice: 1.1996, decode.d7.loss_cls: 0.8009, decode.d7.loss_mask: 0.7488, decode.d7.loss_dice: 1.2016, decode.d8.loss_cls: 0.7951, decode.d8.loss_mask: 0.7498, decode.d8.loss_dice: 1.1978, loss: 29.8379 2022-04-29 23:30:40,606 - mmseg - INFO - Iter [52900/80000] lr: 4.864e-07, eta: 13:55:19, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7899, decode.loss_mask: 0.7436, decode.loss_dice: 1.1872, decode.d0.loss_cls: 2.5858, decode.d0.loss_mask: 0.7499, decode.d0.loss_dice: 1.3675, decode.d1.loss_cls: 0.8843, decode.d1.loss_mask: 0.7718, decode.d1.loss_dice: 1.2883, decode.d2.loss_cls: 0.8216, decode.d2.loss_mask: 0.7579, decode.d2.loss_dice: 1.2368, decode.d3.loss_cls: 0.8047, decode.d3.loss_mask: 0.7544, decode.d3.loss_dice: 1.2171, decode.d4.loss_cls: 0.7958, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.2112, decode.d5.loss_cls: 0.7896, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.2008, decode.d6.loss_cls: 0.7953, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.1884, decode.d7.loss_cls: 0.7938, decode.d7.loss_mask: 0.7441, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7909, decode.d8.loss_mask: 0.7414, decode.d8.loss_dice: 1.1938, loss: 29.6438 2022-04-29 23:32:11,096 - mmseg - INFO - Iter [52950/80000] lr: 4.855e-07, eta: 13:53:45, time: 1.810, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8017, decode.loss_mask: 0.7535, decode.loss_dice: 1.1927, decode.d0.loss_cls: 2.5993, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.3682, decode.d1.loss_cls: 0.8899, decode.d1.loss_mask: 0.7863, decode.d1.loss_dice: 1.2936, decode.d2.loss_cls: 0.8359, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.2360, decode.d3.loss_cls: 0.8192, decode.d3.loss_mask: 0.7606, decode.d3.loss_dice: 1.2168, decode.d4.loss_cls: 0.8070, decode.d4.loss_mask: 0.7573, decode.d4.loss_dice: 1.2149, decode.d5.loss_cls: 0.8062, decode.d5.loss_mask: 0.7594, decode.d5.loss_dice: 1.2103, decode.d6.loss_cls: 0.7987, decode.d6.loss_mask: 0.7519, decode.d6.loss_dice: 1.1961, decode.d7.loss_cls: 0.7955, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1969, decode.d8.loss_cls: 0.7965, decode.d8.loss_mask: 0.7553, decode.d8.loss_dice: 1.1916, loss: 29.8616 2022-04-29 23:33:40,795 - mmseg - INFO - Saving checkpoint at 53000 iterations 2022-04-29 23:33:58,548 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-29 23:33:58,549 - mmseg - INFO - Iter [53000/80000] lr: 4.846e-07, eta: 13:52:20, time: 2.149, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7911, decode.loss_mask: 0.7693, decode.loss_dice: 1.1931, decode.d0.loss_cls: 2.6466, decode.d0.loss_mask: 0.7819, decode.d0.loss_dice: 1.3749, decode.d1.loss_cls: 0.8877, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2851, decode.d2.loss_cls: 0.8314, decode.d2.loss_mask: 0.7858, decode.d2.loss_dice: 1.2311, decode.d3.loss_cls: 0.8126, decode.d3.loss_mask: 0.7754, decode.d3.loss_dice: 1.2045, decode.d4.loss_cls: 0.8038, decode.d4.loss_mask: 0.7744, decode.d4.loss_dice: 1.2048, decode.d5.loss_cls: 0.8017, decode.d5.loss_mask: 0.7730, decode.d5.loss_dice: 1.1960, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7671, decode.d6.loss_dice: 1.1873, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.7722, decode.d7.loss_dice: 1.1981, decode.d8.loss_cls: 0.7931, decode.d8.loss_mask: 0.7696, decode.d8.loss_dice: 1.1903, loss: 29.9897 2022-04-29 23:35:28,807 - mmseg - INFO - Iter [53050/80000] lr: 4.837e-07, eta: 13:50:47, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7668, decode.loss_mask: 0.7523, decode.loss_dice: 1.1414, decode.d0.loss_cls: 2.5482, decode.d0.loss_mask: 0.7573, decode.d0.loss_dice: 1.3104, decode.d1.loss_cls: 0.8613, decode.d1.loss_mask: 0.7783, decode.d1.loss_dice: 1.2272, decode.d2.loss_cls: 0.7997, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.1818, decode.d3.loss_cls: 0.7851, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1547, decode.d4.loss_cls: 0.7762, decode.d4.loss_mask: 0.7503, decode.d4.loss_dice: 1.1548, decode.d5.loss_cls: 0.7707, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1465, decode.d6.loss_cls: 0.7643, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1341, decode.d7.loss_cls: 0.7623, decode.d7.loss_mask: 0.7499, decode.d7.loss_dice: 1.1400, decode.d8.loss_cls: 0.7641, decode.d8.loss_mask: 0.7515, decode.d8.loss_dice: 1.1410, loss: 28.8860 2022-04-29 23:36:58,851 - mmseg - INFO - Iter [53100/80000] lr: 4.828e-07, eta: 13:49:13, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8079, decode.loss_mask: 0.7617, decode.loss_dice: 1.1866, decode.d0.loss_cls: 2.6004, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.3625, decode.d1.loss_cls: 0.9085, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2838, decode.d2.loss_cls: 0.8445, decode.d2.loss_mask: 0.7777, decode.d2.loss_dice: 1.2253, decode.d3.loss_cls: 0.8307, decode.d3.loss_mask: 0.7644, decode.d3.loss_dice: 1.2014, decode.d4.loss_cls: 0.8217, decode.d4.loss_mask: 0.7655, decode.d4.loss_dice: 1.2037, decode.d5.loss_cls: 0.8198, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.1933, decode.d6.loss_cls: 0.8129, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1816, decode.d7.loss_cls: 0.8082, decode.d7.loss_mask: 0.7638, decode.d7.loss_dice: 1.1895, decode.d8.loss_cls: 0.8114, decode.d8.loss_mask: 0.7620, decode.d8.loss_dice: 1.1883, loss: 29.9478 2022-04-29 23:38:30,527 - mmseg - INFO - Iter [53150/80000] lr: 4.819e-07, eta: 13:47:40, time: 1.833, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8113, decode.loss_mask: 0.7468, decode.loss_dice: 1.1764, decode.d0.loss_cls: 2.6485, decode.d0.loss_mask: 0.7634, decode.d0.loss_dice: 1.3576, decode.d1.loss_cls: 0.9009, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.2800, decode.d2.loss_cls: 0.8477, decode.d2.loss_mask: 0.7562, decode.d2.loss_dice: 1.2131, decode.d3.loss_cls: 0.8346, decode.d3.loss_mask: 0.7494, decode.d3.loss_dice: 1.1796, decode.d4.loss_cls: 0.8245, decode.d4.loss_mask: 0.7520, decode.d4.loss_dice: 1.1882, decode.d5.loss_cls: 0.8264, decode.d5.loss_mask: 0.7482, decode.d5.loss_dice: 1.1769, decode.d6.loss_cls: 0.8121, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.1742, decode.d7.loss_cls: 0.8108, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1696, decode.d8.loss_cls: 0.8138, decode.d8.loss_mask: 0.7469, decode.d8.loss_dice: 1.1638, loss: 29.7427 2022-04-29 23:40:02,144 - mmseg - INFO - Iter [53200/80000] lr: 4.810e-07, eta: 13:46:07, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7753, decode.loss_mask: 0.7562, decode.loss_dice: 1.1877, decode.d0.loss_cls: 2.6017, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3647, decode.d1.loss_cls: 0.8793, decode.d1.loss_mask: 0.7913, decode.d1.loss_dice: 1.2843, decode.d2.loss_cls: 0.8198, decode.d2.loss_mask: 0.7773, decode.d2.loss_dice: 1.2265, decode.d3.loss_cls: 0.8015, decode.d3.loss_mask: 0.7724, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7687, decode.d4.loss_dice: 1.2049, decode.d5.loss_cls: 0.7918, decode.d5.loss_mask: 0.7651, decode.d5.loss_dice: 1.1981, decode.d6.loss_cls: 0.7834, decode.d6.loss_mask: 0.7602, decode.d6.loss_dice: 1.1842, decode.d7.loss_cls: 0.7748, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.1863, decode.d8.loss_cls: 0.7776, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1847, loss: 29.6904 2022-04-29 23:41:32,103 - mmseg - INFO - Iter [53250/80000] lr: 4.801e-07, eta: 13:44:33, time: 1.799, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7825, decode.loss_mask: 0.7484, decode.loss_dice: 1.1793, decode.d0.loss_cls: 2.5901, decode.d0.loss_mask: 0.7666, decode.d0.loss_dice: 1.3714, decode.d1.loss_cls: 0.8838, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.2819, decode.d2.loss_cls: 0.8158, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.8056, decode.d3.loss_mask: 0.7560, decode.d3.loss_dice: 1.1981, decode.d4.loss_cls: 0.7943, decode.d4.loss_mask: 0.7564, decode.d4.loss_dice: 1.1983, decode.d5.loss_cls: 0.7923, decode.d5.loss_mask: 0.7530, decode.d5.loss_dice: 1.1895, decode.d6.loss_cls: 0.7842, decode.d6.loss_mask: 0.7467, decode.d6.loss_dice: 1.1823, decode.d7.loss_cls: 0.7867, decode.d7.loss_mask: 0.7464, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7843, decode.d8.loss_mask: 0.7465, decode.d8.loss_dice: 1.1810, loss: 29.5765 2022-04-29 23:43:02,790 - mmseg - INFO - Iter [53300/80000] lr: 4.792e-07, eta: 13:43:00, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7676, decode.loss_mask: 0.7456, decode.loss_dice: 1.1307, decode.d0.loss_cls: 2.5539, decode.d0.loss_mask: 0.7670, decode.d0.loss_dice: 1.3194, decode.d1.loss_cls: 0.8558, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2435, decode.d2.loss_cls: 0.7972, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.1766, decode.d3.loss_cls: 0.7844, decode.d3.loss_mask: 0.7580, decode.d3.loss_dice: 1.1530, decode.d4.loss_cls: 0.7876, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.1547, decode.d5.loss_cls: 0.7793, decode.d5.loss_mask: 0.7501, decode.d5.loss_dice: 1.1431, decode.d6.loss_cls: 0.7837, decode.d6.loss_mask: 0.7472, decode.d6.loss_dice: 1.1385, decode.d7.loss_cls: 0.7741, decode.d7.loss_mask: 0.7453, decode.d7.loss_dice: 1.1339, decode.d8.loss_cls: 0.7704, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.1365, loss: 28.9579 2022-04-29 23:44:33,391 - mmseg - INFO - Iter [53350/80000] lr: 4.783e-07, eta: 13:41:27, time: 1.812, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8049, decode.loss_mask: 0.7449, decode.loss_dice: 1.1691, decode.d0.loss_cls: 2.5999, decode.d0.loss_mask: 0.7436, decode.d0.loss_dice: 1.3513, decode.d1.loss_cls: 0.8959, decode.d1.loss_mask: 0.7759, decode.d1.loss_dice: 1.2629, decode.d2.loss_cls: 0.8425, decode.d2.loss_mask: 0.7568, decode.d2.loss_dice: 1.2154, decode.d3.loss_cls: 0.8330, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.1832, decode.d4.loss_cls: 0.8147, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.1852, decode.d5.loss_cls: 0.8127, decode.d5.loss_mask: 0.7502, decode.d5.loss_dice: 1.1824, decode.d6.loss_cls: 0.8070, decode.d6.loss_mask: 0.7470, decode.d6.loss_dice: 1.1661, decode.d7.loss_cls: 0.8071, decode.d7.loss_mask: 0.7494, decode.d7.loss_dice: 1.1704, decode.d8.loss_cls: 0.8023, decode.d8.loss_mask: 0.7472, decode.d8.loss_dice: 1.1662, loss: 29.5914 2022-04-29 23:46:02,887 - mmseg - INFO - Iter [53400/80000] lr: 4.774e-07, eta: 13:39:53, time: 1.790, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8055, decode.loss_mask: 0.7451, decode.loss_dice: 1.1707, decode.d0.loss_cls: 2.5851, decode.d0.loss_mask: 0.7611, decode.d0.loss_dice: 1.3508, decode.d1.loss_cls: 0.8953, decode.d1.loss_mask: 0.7807, decode.d1.loss_dice: 1.2795, decode.d2.loss_cls: 0.8371, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2258, decode.d3.loss_cls: 0.8178, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.1944, decode.d4.loss_cls: 0.8104, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.1925, decode.d5.loss_cls: 0.8066, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.1915, decode.d6.loss_cls: 0.8009, decode.d6.loss_mask: 0.7549, decode.d6.loss_dice: 1.1790, decode.d7.loss_cls: 0.8025, decode.d7.loss_mask: 0.7520, decode.d7.loss_dice: 1.1786, decode.d8.loss_cls: 0.8014, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.1738, loss: 29.6853 2022-04-29 23:47:32,174 - mmseg - INFO - Iter [53450/80000] lr: 4.765e-07, eta: 13:38:19, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8408, decode.loss_mask: 0.7663, decode.loss_dice: 1.2003, decode.d0.loss_cls: 2.6459, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3862, decode.d1.loss_cls: 0.9262, decode.d1.loss_mask: 0.7983, decode.d1.loss_dice: 1.3050, decode.d2.loss_cls: 0.8665, decode.d2.loss_mask: 0.7863, decode.d2.loss_dice: 1.2487, decode.d3.loss_cls: 0.8584, decode.d3.loss_mask: 0.7731, decode.d3.loss_dice: 1.2230, decode.d4.loss_cls: 0.8521, decode.d4.loss_mask: 0.7723, decode.d4.loss_dice: 1.2179, decode.d5.loss_cls: 0.8471, decode.d5.loss_mask: 0.7721, decode.d5.loss_dice: 1.2159, decode.d6.loss_cls: 0.8424, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.2032, decode.d7.loss_cls: 0.8396, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.2002, decode.d8.loss_cls: 0.8366, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.2031, loss: 30.4917 2022-04-29 23:49:03,270 - mmseg - INFO - Iter [53500/80000] lr: 4.756e-07, eta: 13:36:45, time: 1.820, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8103, decode.loss_mask: 0.7828, decode.loss_dice: 1.2003, decode.d0.loss_cls: 2.6162, decode.d0.loss_mask: 0.7917, decode.d0.loss_dice: 1.3738, decode.d1.loss_cls: 0.8905, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.2904, decode.d2.loss_cls: 0.8453, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.2414, decode.d3.loss_cls: 0.8294, decode.d3.loss_mask: 0.7875, decode.d3.loss_dice: 1.2107, decode.d4.loss_cls: 0.8191, decode.d4.loss_mask: 0.7861, decode.d4.loss_dice: 1.2166, decode.d5.loss_cls: 0.8220, decode.d5.loss_mask: 0.7823, decode.d5.loss_dice: 1.2056, decode.d6.loss_cls: 0.8179, decode.d6.loss_mask: 0.7803, decode.d6.loss_dice: 1.2009, decode.d7.loss_cls: 0.8143, decode.d7.loss_mask: 0.7815, decode.d7.loss_dice: 1.1993, decode.d8.loss_cls: 0.8088, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.1982, loss: 30.2934 2022-04-29 23:50:32,160 - mmseg - INFO - Iter [53550/80000] lr: 4.747e-07, eta: 13:35:11, time: 1.778, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8168, decode.loss_mask: 0.7420, decode.loss_dice: 1.1788, decode.d0.loss_cls: 2.5862, decode.d0.loss_mask: 0.7574, decode.d0.loss_dice: 1.3646, decode.d1.loss_cls: 0.9015, decode.d1.loss_mask: 0.7718, decode.d1.loss_dice: 1.2768, decode.d2.loss_cls: 0.8430, decode.d2.loss_mask: 0.7525, decode.d2.loss_dice: 1.2261, decode.d3.loss_cls: 0.8282, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.1927, decode.d4.loss_cls: 0.8221, decode.d4.loss_mask: 0.7444, decode.d4.loss_dice: 1.1960, decode.d5.loss_cls: 0.8274, decode.d5.loss_mask: 0.7462, decode.d5.loss_dice: 1.1811, decode.d6.loss_cls: 0.8169, decode.d6.loss_mask: 0.7403, decode.d6.loss_dice: 1.1745, decode.d7.loss_cls: 0.8132, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1795, decode.d8.loss_cls: 0.8138, decode.d8.loss_mask: 0.7394, decode.d8.loss_dice: 1.1794, loss: 29.7008 2022-04-29 23:52:02,669 - mmseg - INFO - Iter [53600/80000] lr: 4.738e-07, eta: 13:33:38, time: 1.812, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7594, decode.loss_mask: 0.7543, decode.loss_dice: 1.1552, decode.d0.loss_cls: 2.4934, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.3343, decode.d1.loss_cls: 0.8514, decode.d1.loss_mask: 0.7901, decode.d1.loss_dice: 1.2558, decode.d2.loss_cls: 0.7866, decode.d2.loss_mask: 0.7732, decode.d2.loss_dice: 1.2056, decode.d3.loss_cls: 0.7722, decode.d3.loss_mask: 0.7622, decode.d3.loss_dice: 1.1754, decode.d4.loss_cls: 0.7614, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.1770, decode.d5.loss_cls: 0.7571, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.1688, decode.d6.loss_cls: 0.7558, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 0.7526, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7559, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1589, loss: 29.0200 2022-04-29 23:53:32,955 - mmseg - INFO - Iter [53650/80000] lr: 4.729e-07, eta: 13:32:04, time: 1.805, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7977, decode.loss_mask: 0.7685, decode.loss_dice: 1.1485, decode.d0.loss_cls: 2.5563, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.3336, decode.d1.loss_cls: 0.8854, decode.d1.loss_mask: 0.7938, decode.d1.loss_dice: 1.2474, decode.d2.loss_cls: 0.8331, decode.d2.loss_mask: 0.7827, decode.d2.loss_dice: 1.1969, decode.d3.loss_cls: 0.8128, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1719, decode.d4.loss_cls: 0.8117, decode.d4.loss_mask: 0.7700, decode.d4.loss_dice: 1.1635, decode.d5.loss_cls: 0.8004, decode.d5.loss_mask: 0.7713, decode.d5.loss_dice: 1.1595, decode.d6.loss_cls: 0.7964, decode.d6.loss_mask: 0.7663, decode.d6.loss_dice: 1.1526, decode.d7.loss_cls: 0.7998, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1556, decode.d8.loss_cls: 0.7939, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.1487, loss: 29.5135 2022-04-29 23:55:03,035 - mmseg - INFO - Iter [53700/80000] lr: 4.720e-07, eta: 13:30:31, time: 1.803, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7625, decode.loss_mask: 0.7704, decode.loss_dice: 1.1593, decode.d0.loss_cls: 2.5599, decode.d0.loss_mask: 0.7762, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8602, decode.d1.loss_mask: 0.8011, decode.d1.loss_dice: 1.2607, decode.d2.loss_cls: 0.8058, decode.d2.loss_mask: 0.7816, decode.d2.loss_dice: 1.2035, decode.d3.loss_cls: 0.7888, decode.d3.loss_mask: 0.7739, decode.d3.loss_dice: 1.1773, decode.d4.loss_cls: 0.7793, decode.d4.loss_mask: 0.7753, decode.d4.loss_dice: 1.1768, decode.d5.loss_cls: 0.7649, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.1748, decode.d6.loss_cls: 0.7624, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.1648, decode.d7.loss_cls: 0.7613, decode.d7.loss_mask: 0.7686, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.7649, decode.d8.loss_mask: 0.7716, decode.d8.loss_dice: 1.1651, loss: 29.3661 2022-04-29 23:56:32,873 - mmseg - INFO - Iter [53750/80000] lr: 4.711e-07, eta: 13:28:57, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7833, decode.loss_mask: 0.7548, decode.loss_dice: 1.1708, decode.d0.loss_cls: 2.5483, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8740, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2521, decode.d2.loss_cls: 0.8143, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.2143, decode.d3.loss_cls: 0.7962, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1880, decode.d4.loss_cls: 0.7898, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7845, decode.d5.loss_mask: 0.7600, decode.d5.loss_dice: 1.1805, decode.d6.loss_cls: 0.7865, decode.d6.loss_mask: 0.7549, decode.d6.loss_dice: 1.1743, decode.d7.loss_cls: 0.7886, decode.d7.loss_mask: 0.7555, decode.d7.loss_dice: 1.1793, decode.d8.loss_cls: 0.7823, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.1757, loss: 29.4530 2022-04-29 23:58:02,153 - mmseg - INFO - Iter [53800/80000] lr: 4.702e-07, eta: 13:27:23, time: 1.785, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7894, decode.loss_mask: 0.7661, decode.loss_dice: 1.1891, decode.d0.loss_cls: 2.5968, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3736, decode.d1.loss_cls: 0.8868, decode.d1.loss_mask: 0.7954, decode.d1.loss_dice: 1.2956, decode.d2.loss_cls: 0.8234, decode.d2.loss_mask: 0.7804, decode.d2.loss_dice: 1.2377, decode.d3.loss_cls: 0.8064, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.2184, decode.d4.loss_cls: 0.8009, decode.d4.loss_mask: 0.7747, decode.d4.loss_dice: 1.2099, decode.d5.loss_cls: 0.7974, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.2054, decode.d6.loss_cls: 0.7968, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1916, decode.d7.loss_cls: 0.8001, decode.d7.loss_mask: 0.7643, decode.d7.loss_dice: 1.1906, decode.d8.loss_cls: 0.7882, decode.d8.loss_mask: 0.7649, decode.d8.loss_dice: 1.1942, loss: 29.9181 2022-04-29 23:59:32,680 - mmseg - INFO - Iter [53850/80000] lr: 4.693e-07, eta: 13:25:49, time: 1.811, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7769, decode.loss_mask: 0.7618, decode.loss_dice: 1.1858, decode.d0.loss_cls: 2.5895, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.3577, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2864, decode.d2.loss_cls: 0.8047, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.2284, decode.d3.loss_cls: 0.7913, decode.d3.loss_mask: 0.7675, decode.d3.loss_dice: 1.2023, decode.d4.loss_cls: 0.7913, decode.d4.loss_mask: 0.7648, decode.d4.loss_dice: 1.1985, decode.d5.loss_cls: 0.7874, decode.d5.loss_mask: 0.7658, decode.d5.loss_dice: 1.1984, decode.d6.loss_cls: 0.7843, decode.d6.loss_mask: 0.7591, decode.d6.loss_dice: 1.1837, decode.d7.loss_cls: 0.7843, decode.d7.loss_mask: 0.7618, decode.d7.loss_dice: 1.1831, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7604, decode.d8.loss_dice: 1.1831, loss: 29.6456 2022-04-30 00:01:06,386 - mmseg - INFO - Iter [53900/80000] lr: 4.684e-07, eta: 13:24:18, time: 1.874, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7808, decode.loss_mask: 0.7591, decode.loss_dice: 1.1613, decode.d0.loss_cls: 2.5464, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3467, decode.d1.loss_cls: 0.8588, decode.d1.loss_mask: 0.7856, decode.d1.loss_dice: 1.2637, decode.d2.loss_cls: 0.8187, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.2160, decode.d3.loss_cls: 0.7920, decode.d3.loss_mask: 0.7587, decode.d3.loss_dice: 1.1849, decode.d4.loss_cls: 0.7825, decode.d4.loss_mask: 0.7555, decode.d4.loss_dice: 1.1847, decode.d5.loss_cls: 0.7809, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.1812, decode.d6.loss_cls: 0.7833, decode.d6.loss_mask: 0.7579, decode.d6.loss_dice: 1.1716, decode.d7.loss_cls: 0.7798, decode.d7.loss_mask: 0.7617, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.7772, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1692, loss: 29.3716 2022-04-30 00:02:38,098 - mmseg - INFO - Iter [53950/80000] lr: 4.675e-07, eta: 13:22:45, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7752, decode.loss_mask: 0.7623, decode.loss_dice: 1.1921, decode.d0.loss_cls: 2.5744, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3676, decode.d1.loss_cls: 0.8697, decode.d1.loss_mask: 0.7949, decode.d1.loss_dice: 1.2953, decode.d2.loss_cls: 0.8076, decode.d2.loss_mask: 0.7820, decode.d2.loss_dice: 1.2433, decode.d3.loss_cls: 0.7923, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.2158, decode.d4.loss_cls: 0.7806, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.2187, decode.d5.loss_cls: 0.7785, decode.d5.loss_mask: 0.7704, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 0.7760, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1994, decode.d7.loss_cls: 0.7777, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.1944, decode.d8.loss_cls: 0.7768, decode.d8.loss_mask: 0.7603, decode.d8.loss_dice: 1.1930, loss: 29.7485 2022-04-30 00:04:08,594 - mmseg - INFO - Saving checkpoint at 54000 iterations 2022-04-30 00:04:27,184 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 00:04:27,187 - mmseg - INFO - Iter [54000/80000] lr: 4.667e-07, eta: 13:21:20, time: 2.181, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7884, decode.loss_mask: 0.7582, decode.loss_dice: 1.1949, decode.d0.loss_cls: 2.5921, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.3738, decode.d1.loss_cls: 0.8827, decode.d1.loss_mask: 0.7938, decode.d1.loss_dice: 1.2839, decode.d2.loss_cls: 0.8261, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.2351, decode.d3.loss_cls: 0.8108, decode.d3.loss_mask: 0.7679, decode.d3.loss_dice: 1.2194, decode.d4.loss_cls: 0.7988, decode.d4.loss_mask: 0.7632, decode.d4.loss_dice: 1.2143, decode.d5.loss_cls: 0.8005, decode.d5.loss_mask: 0.7589, decode.d5.loss_dice: 1.2047, decode.d6.loss_cls: 0.7877, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.2054, decode.d7.loss_cls: 0.7850, decode.d7.loss_mask: 0.7580, decode.d7.loss_dice: 1.1996, decode.d8.loss_cls: 0.7840, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1990, loss: 29.8485 2022-04-30 00:05:59,293 - mmseg - INFO - Iter [54050/80000] lr: 4.658e-07, eta: 13:19:48, time: 1.843, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7808, decode.loss_mask: 0.7480, decode.loss_dice: 1.1733, decode.d0.loss_cls: 2.5965, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3457, decode.d1.loss_cls: 0.8722, decode.d1.loss_mask: 0.7821, decode.d1.loss_dice: 1.2598, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.2112, decode.d3.loss_cls: 0.7967, decode.d3.loss_mask: 0.7599, decode.d3.loss_dice: 1.1941, decode.d4.loss_cls: 0.7844, decode.d4.loss_mask: 0.7595, decode.d4.loss_dice: 1.1987, decode.d5.loss_cls: 0.7825, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.1864, decode.d6.loss_cls: 0.7838, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.1760, decode.d7.loss_cls: 0.7819, decode.d7.loss_mask: 0.7517, decode.d7.loss_dice: 1.1766, decode.d8.loss_cls: 0.7825, decode.d8.loss_mask: 0.7505, decode.d8.loss_dice: 1.1730, loss: 29.4552 2022-04-30 00:07:28,588 - mmseg - INFO - Iter [54100/80000] lr: 4.649e-07, eta: 13:18:14, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7985, decode.loss_mask: 0.7559, decode.loss_dice: 1.1755, decode.d0.loss_cls: 2.5943, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3363, decode.d1.loss_cls: 0.8939, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.2807, decode.d2.loss_cls: 0.8384, decode.d2.loss_mask: 0.7728, decode.d2.loss_dice: 1.2216, decode.d3.loss_cls: 0.8191, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.1945, decode.d4.loss_cls: 0.8169, decode.d4.loss_mask: 0.7671, decode.d4.loss_dice: 1.1939, decode.d5.loss_cls: 0.8039, decode.d5.loss_mask: 0.7668, decode.d5.loss_dice: 1.1839, decode.d6.loss_cls: 0.8012, decode.d6.loss_mask: 0.7580, decode.d6.loss_dice: 1.1687, decode.d7.loss_cls: 0.8001, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.1753, decode.d8.loss_cls: 0.7975, decode.d8.loss_mask: 0.7548, decode.d8.loss_dice: 1.1803, loss: 29.7248 2022-04-30 00:08:59,827 - mmseg - INFO - Iter [54150/80000] lr: 4.640e-07, eta: 13:16:41, time: 1.824, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8044, decode.loss_mask: 0.7379, decode.loss_dice: 1.1766, decode.d0.loss_cls: 2.6036, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.3661, decode.d1.loss_cls: 0.9021, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8437, decode.d2.loss_mask: 0.7555, decode.d2.loss_dice: 1.2272, decode.d3.loss_cls: 0.8197, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.2012, decode.d4.loss_cls: 0.8148, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.1995, decode.d5.loss_cls: 0.8147, decode.d5.loss_mask: 0.7400, decode.d5.loss_dice: 1.1930, decode.d6.loss_cls: 0.8110, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.1778, decode.d7.loss_cls: 0.8112, decode.d7.loss_mask: 0.7417, decode.d7.loss_dice: 1.1822, decode.d8.loss_cls: 0.8088, decode.d8.loss_mask: 0.7406, decode.d8.loss_dice: 1.1843, loss: 29.6872 2022-04-30 00:10:30,184 - mmseg - INFO - Iter [54200/80000] lr: 4.631e-07, eta: 13:15:07, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7405, decode.loss_mask: 0.7413, decode.loss_dice: 1.2018, decode.d0.loss_cls: 2.5246, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3572, decode.d1.loss_cls: 0.8381, decode.d1.loss_mask: 0.7714, decode.d1.loss_dice: 1.2872, decode.d2.loss_cls: 0.7734, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.2377, decode.d3.loss_cls: 0.7609, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.2105, decode.d4.loss_cls: 0.7475, decode.d4.loss_mask: 0.7556, decode.d4.loss_dice: 1.2087, decode.d5.loss_cls: 0.7457, decode.d5.loss_mask: 0.7479, decode.d5.loss_dice: 1.2042, decode.d6.loss_cls: 0.7421, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1967, decode.d7.loss_cls: 0.7360, decode.d7.loss_mask: 0.7486, decode.d7.loss_dice: 1.2001, decode.d8.loss_cls: 0.7367, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.2008, loss: 29.1742 2022-04-30 00:11:59,357 - mmseg - INFO - Iter [54250/80000] lr: 4.622e-07, eta: 13:13:33, time: 1.784, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7802, decode.loss_mask: 0.7479, decode.loss_dice: 1.1753, decode.d0.loss_cls: 2.5612, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8728, decode.d1.loss_mask: 0.7790, decode.d1.loss_dice: 1.2658, decode.d2.loss_cls: 0.8157, decode.d2.loss_mask: 0.7617, decode.d2.loss_dice: 1.2214, decode.d3.loss_cls: 0.8034, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.1936, decode.d4.loss_cls: 0.7964, decode.d4.loss_mask: 0.7559, decode.d4.loss_dice: 1.1978, decode.d5.loss_cls: 0.7949, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1894, decode.d6.loss_cls: 0.7851, decode.d6.loss_mask: 0.7540, decode.d6.loss_dice: 1.1747, decode.d7.loss_cls: 0.7832, decode.d7.loss_mask: 0.7527, decode.d7.loss_dice: 1.1764, decode.d8.loss_cls: 0.7807, decode.d8.loss_mask: 0.7520, decode.d8.loss_dice: 1.1710, loss: 29.4578 2022-04-30 00:13:30,365 - mmseg - INFO - Iter [54300/80000] lr: 4.613e-07, eta: 13:12:00, time: 1.818, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8037, decode.loss_mask: 0.7682, decode.loss_dice: 1.2034, decode.d0.loss_cls: 2.6111, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.3824, decode.d1.loss_cls: 0.8935, decode.d1.loss_mask: 0.7979, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.8317, decode.d2.loss_mask: 0.7859, decode.d2.loss_dice: 1.2440, decode.d3.loss_cls: 0.8180, decode.d3.loss_mask: 0.7776, decode.d3.loss_dice: 1.2219, decode.d4.loss_cls: 0.8131, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.2113, decode.d5.loss_cls: 0.8035, decode.d5.loss_mask: 0.7718, decode.d5.loss_dice: 1.2092, decode.d6.loss_cls: 0.7995, decode.d6.loss_mask: 0.7711, decode.d6.loss_dice: 1.1984, decode.d7.loss_cls: 0.8000, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.2031, decode.d8.loss_cls: 0.7940, decode.d8.loss_mask: 0.7720, decode.d8.loss_dice: 1.2106, loss: 30.1102 2022-04-30 00:15:00,106 - mmseg - INFO - Iter [54350/80000] lr: 4.604e-07, eta: 13:10:26, time: 1.797, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7906, decode.loss_mask: 0.7811, decode.loss_dice: 1.2038, decode.d0.loss_cls: 2.5691, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.3692, decode.d1.loss_cls: 0.8790, decode.d1.loss_mask: 0.8214, decode.d1.loss_dice: 1.2983, decode.d2.loss_cls: 0.8168, decode.d2.loss_mask: 0.8062, decode.d2.loss_dice: 1.2535, decode.d3.loss_cls: 0.8014, decode.d3.loss_mask: 0.7992, decode.d3.loss_dice: 1.2240, decode.d4.loss_cls: 0.7951, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.2191, decode.d5.loss_cls: 0.8029, decode.d5.loss_mask: 0.7926, decode.d5.loss_dice: 1.2155, decode.d6.loss_cls: 0.7956, decode.d6.loss_mask: 0.7847, decode.d6.loss_dice: 1.1991, decode.d7.loss_cls: 0.7887, decode.d7.loss_mask: 0.7825, decode.d7.loss_dice: 1.1997, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.2051, loss: 30.1566 2022-04-30 00:16:28,849 - mmseg - INFO - Iter [54400/80000] lr: 4.595e-07, eta: 13:08:52, time: 1.775, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8113, decode.loss_mask: 0.7732, decode.loss_dice: 1.1982, decode.d0.loss_cls: 2.5733, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.3904, decode.d1.loss_cls: 0.8890, decode.d1.loss_mask: 0.8028, decode.d1.loss_dice: 1.3031, decode.d2.loss_cls: 0.8379, decode.d2.loss_mask: 0.7874, decode.d2.loss_dice: 1.2448, decode.d3.loss_cls: 0.8266, decode.d3.loss_mask: 0.7775, decode.d3.loss_dice: 1.2169, decode.d4.loss_cls: 0.8139, decode.d4.loss_mask: 0.7787, decode.d4.loss_dice: 1.2125, decode.d5.loss_cls: 0.8140, decode.d5.loss_mask: 0.7733, decode.d5.loss_dice: 1.2124, decode.d6.loss_cls: 0.8119, decode.d6.loss_mask: 0.7725, decode.d6.loss_dice: 1.2058, decode.d7.loss_cls: 0.8102, decode.d7.loss_mask: 0.7696, decode.d7.loss_dice: 1.1993, decode.d8.loss_cls: 0.8133, decode.d8.loss_mask: 0.7692, decode.d8.loss_dice: 1.2010, loss: 30.1715 2022-04-30 00:17:58,949 - mmseg - INFO - Iter [54450/80000] lr: 4.586e-07, eta: 13:07:19, time: 1.802, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7913, decode.loss_mask: 0.7537, decode.loss_dice: 1.1841, decode.d0.loss_cls: 2.5837, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3623, decode.d1.loss_cls: 0.8647, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2876, decode.d2.loss_cls: 0.8072, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.2276, decode.d3.loss_cls: 0.7969, decode.d3.loss_mask: 0.7643, decode.d3.loss_dice: 1.2058, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7598, decode.d4.loss_dice: 1.2018, decode.d5.loss_cls: 0.7872, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.1996, decode.d6.loss_cls: 0.7858, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.1874, decode.d7.loss_cls: 0.7854, decode.d7.loss_mask: 0.7524, decode.d7.loss_dice: 1.1858, decode.d8.loss_cls: 0.7854, decode.d8.loss_mask: 0.7542, decode.d8.loss_dice: 1.1884, loss: 29.6245 2022-04-30 00:19:30,089 - mmseg - INFO - Iter [54500/80000] lr: 4.577e-07, eta: 13:05:46, time: 1.823, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7499, decode.loss_mask: 0.7584, decode.loss_dice: 1.1396, decode.d0.loss_cls: 2.4914, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.3025, decode.d1.loss_cls: 0.8479, decode.d1.loss_mask: 0.7908, decode.d1.loss_dice: 1.2378, decode.d2.loss_cls: 0.7830, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.1820, decode.d3.loss_cls: 0.7695, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.1562, decode.d4.loss_cls: 0.7568, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.1622, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7614, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.7502, decode.d6.loss_mask: 0.7608, decode.d6.loss_dice: 1.1410, decode.d7.loss_cls: 0.7499, decode.d7.loss_mask: 0.7619, decode.d7.loss_dice: 1.1463, decode.d8.loss_cls: 0.7511, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.1427, loss: 28.8460 2022-04-30 00:21:00,385 - mmseg - INFO - Iter [54550/80000] lr: 4.568e-07, eta: 13:04:12, time: 1.806, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7876, decode.loss_mask: 0.7746, decode.loss_dice: 1.2024, decode.d0.loss_cls: 2.5789, decode.d0.loss_mask: 0.7899, decode.d0.loss_dice: 1.3887, decode.d1.loss_cls: 0.8818, decode.d1.loss_mask: 0.8003, decode.d1.loss_dice: 1.3144, decode.d2.loss_cls: 0.8203, decode.d2.loss_mask: 0.7899, decode.d2.loss_dice: 1.2477, decode.d3.loss_cls: 0.8019, decode.d3.loss_mask: 0.7827, decode.d3.loss_dice: 1.2322, decode.d4.loss_cls: 0.7977, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.2233, decode.d5.loss_cls: 0.8002, decode.d5.loss_mask: 0.7815, decode.d5.loss_dice: 1.2143, decode.d6.loss_cls: 0.7941, decode.d6.loss_mask: 0.7750, decode.d6.loss_dice: 1.2055, decode.d7.loss_cls: 0.7931, decode.d7.loss_mask: 0.7749, decode.d7.loss_dice: 1.2064, decode.d8.loss_cls: 0.7868, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.2104, loss: 30.1199 2022-04-30 00:22:31,395 - mmseg - INFO - Iter [54600/80000] lr: 4.559e-07, eta: 13:02:39, time: 1.819, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7874, decode.loss_mask: 0.7626, decode.loss_dice: 1.1673, decode.d0.loss_cls: 2.5914, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3436, decode.d1.loss_cls: 0.8765, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2723, decode.d2.loss_cls: 0.8323, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.2136, decode.d3.loss_cls: 0.8072, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.1928, decode.d4.loss_cls: 0.7995, decode.d4.loss_mask: 0.7691, decode.d4.loss_dice: 1.1815, decode.d5.loss_cls: 0.7982, decode.d5.loss_mask: 0.7678, decode.d5.loss_dice: 1.1772, decode.d6.loss_cls: 0.7890, decode.d6.loss_mask: 0.7658, decode.d6.loss_dice: 1.1731, decode.d7.loss_cls: 0.7877, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1747, decode.d8.loss_cls: 0.7882, decode.d8.loss_mask: 0.7622, decode.d8.loss_dice: 1.1725, loss: 29.6582 2022-04-30 00:24:01,047 - mmseg - INFO - Iter [54650/80000] lr: 4.550e-07, eta: 13:01:05, time: 1.794, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7989, decode.loss_mask: 0.7825, decode.loss_dice: 1.2163, decode.d0.loss_cls: 2.6213, decode.d0.loss_mask: 0.7926, decode.d0.loss_dice: 1.3987, decode.d1.loss_cls: 0.8874, decode.d1.loss_mask: 0.8127, decode.d1.loss_dice: 1.3114, decode.d2.loss_cls: 0.8285, decode.d2.loss_mask: 0.7988, decode.d2.loss_dice: 1.2657, decode.d3.loss_cls: 0.8155, decode.d3.loss_mask: 0.7876, decode.d3.loss_dice: 1.2466, decode.d4.loss_cls: 0.8062, decode.d4.loss_mask: 0.7884, decode.d4.loss_dice: 1.2405, decode.d5.loss_cls: 0.8044, decode.d5.loss_mask: 0.7863, decode.d5.loss_dice: 1.2300, decode.d6.loss_cls: 0.7993, decode.d6.loss_mask: 0.7833, decode.d6.loss_dice: 1.2160, decode.d7.loss_cls: 0.7961, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.2175, decode.d8.loss_cls: 0.7965, decode.d8.loss_mask: 0.7799, decode.d8.loss_dice: 1.2132, loss: 30.4017 2022-04-30 00:25:30,306 - mmseg - INFO - Iter [54700/80000] lr: 4.541e-07, eta: 12:59:31, time: 1.785, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8050, decode.loss_mask: 0.7772, decode.loss_dice: 1.2035, decode.d0.loss_cls: 2.6062, decode.d0.loss_mask: 0.7887, decode.d0.loss_dice: 1.3865, decode.d1.loss_cls: 0.8871, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.3104, decode.d2.loss_cls: 0.8405, decode.d2.loss_mask: 0.7930, decode.d2.loss_dice: 1.2588, decode.d3.loss_cls: 0.8187, decode.d3.loss_mask: 0.7846, decode.d3.loss_dice: 1.2314, decode.d4.loss_cls: 0.8159, decode.d4.loss_mask: 0.7821, decode.d4.loss_dice: 1.2231, decode.d5.loss_cls: 0.8092, decode.d5.loss_mask: 0.7804, decode.d5.loss_dice: 1.2182, decode.d6.loss_cls: 0.8067, decode.d6.loss_mask: 0.7760, decode.d6.loss_dice: 1.2062, decode.d7.loss_cls: 0.8050, decode.d7.loss_mask: 0.7753, decode.d7.loss_dice: 1.2013, decode.d8.loss_cls: 0.8066, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.1998, loss: 30.2883 2022-04-30 00:26:58,650 - mmseg - INFO - Iter [54750/80000] lr: 4.532e-07, eta: 12:57:57, time: 1.767, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7715, decode.loss_mask: 0.7475, decode.loss_dice: 1.1630, decode.d0.loss_cls: 2.5701, decode.d0.loss_mask: 0.7630, decode.d0.loss_dice: 1.3512, decode.d1.loss_cls: 0.8653, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2752, decode.d2.loss_cls: 0.8080, decode.d2.loss_mask: 0.7571, decode.d2.loss_dice: 1.2170, decode.d3.loss_cls: 0.7958, decode.d3.loss_mask: 0.7481, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 0.7902, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.1779, decode.d5.loss_cls: 0.7828, decode.d5.loss_mask: 0.7481, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.7738, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.1654, decode.d7.loss_cls: 0.7762, decode.d7.loss_mask: 0.7502, decode.d7.loss_dice: 1.1708, decode.d8.loss_cls: 0.7731, decode.d8.loss_mask: 0.7497, decode.d8.loss_dice: 1.1642, loss: 29.3083 2022-04-30 00:28:27,342 - mmseg - INFO - Iter [54800/80000] lr: 4.523e-07, eta: 12:56:23, time: 1.774, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7574, decode.loss_mask: 0.7791, decode.loss_dice: 1.1720, decode.d0.loss_cls: 2.4750, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.3439, decode.d1.loss_cls: 0.8616, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2643, decode.d2.loss_cls: 0.8052, decode.d2.loss_mask: 0.7919, decode.d2.loss_dice: 1.2090, decode.d3.loss_cls: 0.7867, decode.d3.loss_mask: 0.7842, decode.d3.loss_dice: 1.1847, decode.d4.loss_cls: 0.7737, decode.d4.loss_mask: 0.7813, decode.d4.loss_dice: 1.1901, decode.d5.loss_cls: 0.7681, decode.d5.loss_mask: 0.7808, decode.d5.loss_dice: 1.1869, decode.d6.loss_cls: 0.7617, decode.d6.loss_mask: 0.7793, decode.d6.loss_dice: 1.1734, decode.d7.loss_cls: 0.7591, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.1739, decode.d8.loss_cls: 0.7586, decode.d8.loss_mask: 0.7831, decode.d8.loss_dice: 1.1666, loss: 29.4257 2022-04-30 00:29:57,580 - mmseg - INFO - Iter [54850/80000] lr: 4.514e-07, eta: 12:54:50, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8114, decode.loss_mask: 0.7818, decode.loss_dice: 1.2005, decode.d0.loss_cls: 2.6016, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.3766, decode.d1.loss_cls: 0.8994, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.3013, decode.d2.loss_cls: 0.8409, decode.d2.loss_mask: 0.7997, decode.d2.loss_dice: 1.2551, decode.d3.loss_cls: 0.8201, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.2229, decode.d4.loss_cls: 0.8157, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.2152, decode.d5.loss_cls: 0.8120, decode.d5.loss_mask: 0.7876, decode.d5.loss_dice: 1.2064, decode.d6.loss_cls: 0.8132, decode.d6.loss_mask: 0.7806, decode.d6.loss_dice: 1.2022, decode.d7.loss_cls: 0.8116, decode.d7.loss_mask: 0.7804, decode.d7.loss_dice: 1.1985, decode.d8.loss_cls: 0.8107, decode.d8.loss_mask: 0.7821, decode.d8.loss_dice: 1.2024, loss: 30.3108 2022-04-30 00:31:26,018 - mmseg - INFO - Iter [54900/80000] lr: 4.505e-07, eta: 12:53:15, time: 1.768, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8343, decode.loss_mask: 0.7454, decode.loss_dice: 1.1794, decode.d0.loss_cls: 2.6443, decode.d0.loss_mask: 0.7598, decode.d0.loss_dice: 1.3644, decode.d1.loss_cls: 0.9288, decode.d1.loss_mask: 0.7864, decode.d1.loss_dice: 1.2847, decode.d2.loss_cls: 0.8675, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.2346, decode.d3.loss_cls: 0.8577, decode.d3.loss_mask: 0.7566, decode.d3.loss_dice: 1.2041, decode.d4.loss_cls: 0.8473, decode.d4.loss_mask: 0.7561, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.8504, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 0.8383, decode.d6.loss_mask: 0.7462, decode.d6.loss_dice: 1.1873, decode.d7.loss_cls: 0.8331, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.1862, decode.d8.loss_cls: 0.8330, decode.d8.loss_mask: 0.7491, decode.d8.loss_dice: 1.1850, loss: 30.1251 2022-04-30 00:32:55,843 - mmseg - INFO - Iter [54950/80000] lr: 4.496e-07, eta: 12:51:42, time: 1.797, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8126, decode.loss_mask: 0.7651, decode.loss_dice: 1.1873, decode.d0.loss_cls: 2.6347, decode.d0.loss_mask: 0.7697, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 0.8963, decode.d1.loss_mask: 0.7965, decode.d1.loss_dice: 1.2832, decode.d2.loss_cls: 0.8367, decode.d2.loss_mask: 0.7813, decode.d2.loss_dice: 1.2305, decode.d3.loss_cls: 0.8299, decode.d3.loss_mask: 0.7686, decode.d3.loss_dice: 1.2020, decode.d4.loss_cls: 0.8185, decode.d4.loss_mask: 0.7732, decode.d4.loss_dice: 1.2068, decode.d5.loss_cls: 0.8118, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.1994, decode.d6.loss_cls: 0.8107, decode.d6.loss_mask: 0.7649, decode.d6.loss_dice: 1.1858, decode.d7.loss_cls: 0.8070, decode.d7.loss_mask: 0.7624, decode.d7.loss_dice: 1.1868, decode.d8.loss_cls: 0.8116, decode.d8.loss_mask: 0.7605, decode.d8.loss_dice: 1.1806, loss: 30.0173 2022-04-30 00:34:26,463 - mmseg - INFO - Saving checkpoint at 55000 iterations 2022-04-30 00:34:58,592 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 00:34:58,604 - mmseg - INFO - Iter [55000/80000] lr: 4.487e-07, eta: 12:50:23, time: 2.452, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8098, decode.loss_mask: 0.7596, decode.loss_dice: 1.1505, decode.d0.loss_cls: 2.6424, decode.d0.loss_mask: 0.7754, decode.d0.loss_dice: 1.3145, decode.d1.loss_cls: 0.9235, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2345, decode.d2.loss_cls: 0.8594, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.1909, decode.d3.loss_cls: 0.8379, decode.d3.loss_mask: 0.7608, decode.d3.loss_dice: 1.1608, decode.d4.loss_cls: 0.8264, decode.d4.loss_mask: 0.7600, decode.d4.loss_dice: 1.1600, decode.d5.loss_cls: 0.8214, decode.d5.loss_mask: 0.7601, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.8181, decode.d6.loss_mask: 0.7579, decode.d6.loss_dice: 1.1461, decode.d7.loss_cls: 0.8121, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.1493, decode.d8.loss_cls: 0.8130, decode.d8.loss_mask: 0.7596, decode.d8.loss_dice: 1.1497, loss: 29.6304 2022-04-30 00:36:29,234 - mmseg - INFO - Iter [55050/80000] lr: 4.478e-07, eta: 12:48:50, time: 1.816, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7806, decode.loss_mask: 0.7814, decode.loss_dice: 1.1890, decode.d0.loss_cls: 2.5523, decode.d0.loss_mask: 0.7904, decode.d0.loss_dice: 1.3641, decode.d1.loss_cls: 0.8729, decode.d1.loss_mask: 0.8142, decode.d1.loss_dice: 1.2831, decode.d2.loss_cls: 0.8187, decode.d2.loss_mask: 0.7950, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.7990, decode.d3.loss_mask: 0.7904, decode.d3.loss_dice: 1.2054, decode.d4.loss_cls: 0.7907, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.7866, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.1935, decode.d6.loss_cls: 0.7826, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.1884, decode.d7.loss_cls: 0.7874, decode.d7.loss_mask: 0.7789, decode.d7.loss_dice: 1.1892, decode.d8.loss_cls: 0.7830, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.1890, loss: 29.8747 2022-04-30 00:38:01,218 - mmseg - INFO - Iter [55100/80000] lr: 4.469e-07, eta: 12:47:17, time: 1.840, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7740, decode.loss_mask: 0.7602, decode.loss_dice: 1.1543, decode.d0.loss_cls: 2.5345, decode.d0.loss_mask: 0.7837, decode.d0.loss_dice: 1.3261, decode.d1.loss_cls: 0.8631, decode.d1.loss_mask: 0.7944, decode.d1.loss_dice: 1.2441, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7765, decode.d2.loss_dice: 1.1940, decode.d3.loss_cls: 0.7972, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1682, decode.d4.loss_cls: 0.7880, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.1654, decode.d5.loss_cls: 0.7898, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.1491, decode.d6.loss_cls: 0.7825, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.1464, decode.d7.loss_cls: 0.7786, decode.d7.loss_mask: 0.7562, decode.d7.loss_dice: 1.1465, decode.d8.loss_cls: 0.7701, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1422, loss: 29.1987 2022-04-30 00:39:31,788 - mmseg - INFO - Iter [55150/80000] lr: 4.460e-07, eta: 12:45:44, time: 1.811, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8041, decode.loss_mask: 0.7497, decode.loss_dice: 1.1959, decode.d0.loss_cls: 2.6529, decode.d0.loss_mask: 0.7662, decode.d0.loss_dice: 1.3807, decode.d1.loss_cls: 0.9094, decode.d1.loss_mask: 0.7840, decode.d1.loss_dice: 1.2951, decode.d2.loss_cls: 0.8495, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.2335, decode.d3.loss_cls: 0.8276, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.2124, decode.d4.loss_cls: 0.8200, decode.d4.loss_mask: 0.7545, decode.d4.loss_dice: 1.2105, decode.d5.loss_cls: 0.8163, decode.d5.loss_mask: 0.7530, decode.d5.loss_dice: 1.1961, decode.d6.loss_cls: 0.8077, decode.d6.loss_mask: 0.7543, decode.d6.loss_dice: 1.1961, decode.d7.loss_cls: 0.8060, decode.d7.loss_mask: 0.7509, decode.d7.loss_dice: 1.2018, decode.d8.loss_cls: 0.8073, decode.d8.loss_mask: 0.7511, decode.d8.loss_dice: 1.1993, loss: 30.0088 2022-04-30 00:41:01,968 - mmseg - INFO - Iter [55200/80000] lr: 4.451e-07, eta: 12:44:10, time: 1.804, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7469, decode.loss_mask: 0.7496, decode.loss_dice: 1.1199, decode.d0.loss_cls: 2.5397, decode.d0.loss_mask: 0.7554, decode.d0.loss_dice: 1.2831, decode.d1.loss_cls: 0.8425, decode.d1.loss_mask: 0.7755, decode.d1.loss_dice: 1.2085, decode.d2.loss_cls: 0.7826, decode.d2.loss_mask: 0.7644, decode.d2.loss_dice: 1.1658, decode.d3.loss_cls: 0.7671, decode.d3.loss_mask: 0.7526, decode.d3.loss_dice: 1.1336, decode.d4.loss_cls: 0.7569, decode.d4.loss_mask: 0.7519, decode.d4.loss_dice: 1.1330, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1337, decode.d6.loss_cls: 0.7477, decode.d6.loss_mask: 0.7496, decode.d6.loss_dice: 1.1235, decode.d7.loss_cls: 0.7438, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.1238, decode.d8.loss_cls: 0.7460, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1215, loss: 28.5297 2022-04-30 00:42:32,812 - mmseg - INFO - Iter [55250/80000] lr: 4.442e-07, eta: 12:42:37, time: 1.817, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7698, decode.loss_mask: 0.7413, decode.loss_dice: 1.1445, decode.d0.loss_cls: 2.5545, decode.d0.loss_mask: 0.7482, decode.d0.loss_dice: 1.3173, decode.d1.loss_cls: 0.8632, decode.d1.loss_mask: 0.7726, decode.d1.loss_dice: 1.2411, decode.d2.loss_cls: 0.7995, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.1921, decode.d3.loss_cls: 0.7913, decode.d3.loss_mask: 0.7491, decode.d3.loss_dice: 1.1637, decode.d4.loss_cls: 0.7823, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.1631, decode.d5.loss_cls: 0.7806, decode.d5.loss_mask: 0.7414, decode.d5.loss_dice: 1.1534, decode.d6.loss_cls: 0.7707, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1470, decode.d7.loss_cls: 0.7730, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1490, decode.d8.loss_cls: 0.7755, decode.d8.loss_mask: 0.7370, decode.d8.loss_dice: 1.1442, loss: 28.9600 2022-04-30 00:44:03,143 - mmseg - INFO - Iter [55300/80000] lr: 4.433e-07, eta: 12:41:04, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7986, decode.loss_mask: 0.7499, decode.loss_dice: 1.1869, decode.d0.loss_cls: 2.5727, decode.d0.loss_mask: 0.7630, decode.d0.loss_dice: 1.3620, decode.d1.loss_cls: 0.8955, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.2858, decode.d2.loss_cls: 0.8363, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2347, decode.d3.loss_cls: 0.8231, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.1986, decode.d4.loss_cls: 0.8070, decode.d4.loss_mask: 0.7605, decode.d4.loss_dice: 1.2023, decode.d5.loss_cls: 0.8147, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.1944, decode.d6.loss_cls: 0.8107, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.1837, decode.d7.loss_cls: 0.8064, decode.d7.loss_mask: 0.7506, decode.d7.loss_dice: 1.1898, decode.d8.loss_cls: 0.7993, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1886, loss: 29.7800 2022-04-30 00:45:33,425 - mmseg - INFO - Iter [55350/80000] lr: 4.424e-07, eta: 12:39:30, time: 1.807, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7935, decode.loss_mask: 0.7613, decode.loss_dice: 1.1657, decode.d0.loss_cls: 2.5655, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3563, decode.d1.loss_cls: 0.8713, decode.d1.loss_mask: 0.7943, decode.d1.loss_dice: 1.2650, decode.d2.loss_cls: 0.8261, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.2157, decode.d3.loss_cls: 0.8146, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.1906, decode.d4.loss_cls: 0.8098, decode.d4.loss_mask: 0.7673, decode.d4.loss_dice: 1.1864, decode.d5.loss_cls: 0.8038, decode.d5.loss_mask: 0.7648, decode.d5.loss_dice: 1.1758, decode.d6.loss_cls: 0.7961, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.1683, decode.d7.loss_cls: 0.7999, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.1681, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.1664, loss: 29.6326 2022-04-30 00:47:03,515 - mmseg - INFO - Iter [55400/80000] lr: 4.415e-07, eta: 12:37:57, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8057, decode.loss_mask: 0.7504, decode.loss_dice: 1.1800, decode.d0.loss_cls: 2.5879, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3606, decode.d1.loss_cls: 0.9067, decode.d1.loss_mask: 0.7814, decode.d1.loss_dice: 1.2750, decode.d2.loss_cls: 0.8398, decode.d2.loss_mask: 0.7699, decode.d2.loss_dice: 1.2272, decode.d3.loss_cls: 0.8292, decode.d3.loss_mask: 0.7662, decode.d3.loss_dice: 1.2043, decode.d4.loss_cls: 0.8216, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.2054, decode.d5.loss_cls: 0.8130, decode.d5.loss_mask: 0.7603, decode.d5.loss_dice: 1.1973, decode.d6.loss_cls: 0.8105, decode.d6.loss_mask: 0.7533, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 0.8066, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.1861, decode.d8.loss_cls: 0.8067, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1860, loss: 29.8465 2022-04-30 00:48:35,411 - mmseg - INFO - Iter [55450/80000] lr: 4.406e-07, eta: 12:36:24, time: 1.839, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7934, decode.loss_mask: 0.7678, decode.loss_dice: 1.1742, decode.d0.loss_cls: 2.5441, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3506, decode.d1.loss_cls: 0.8781, decode.d1.loss_mask: 0.8026, decode.d1.loss_dice: 1.2708, decode.d2.loss_cls: 0.8202, decode.d2.loss_mask: 0.7828, decode.d2.loss_dice: 1.2222, decode.d3.loss_cls: 0.8120, decode.d3.loss_mask: 0.7782, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.8057, decode.d4.loss_mask: 0.7742, decode.d4.loss_dice: 1.1938, decode.d5.loss_cls: 0.8034, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.1840, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.1731, decode.d7.loss_cls: 0.7919, decode.d7.loss_mask: 0.7722, decode.d7.loss_dice: 1.1743, decode.d8.loss_cls: 0.7956, decode.d8.loss_mask: 0.7675, decode.d8.loss_dice: 1.1797, loss: 29.7162 2022-04-30 00:50:05,583 - mmseg - INFO - Iter [55500/80000] lr: 4.397e-07, eta: 12:34:51, time: 1.802, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7986, decode.loss_mask: 0.7444, decode.loss_dice: 1.1692, decode.d0.loss_cls: 2.5759, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.3450, decode.d1.loss_cls: 0.8913, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.2725, decode.d2.loss_cls: 0.8230, decode.d2.loss_mask: 0.7721, decode.d2.loss_dice: 1.2232, decode.d3.loss_cls: 0.8086, decode.d3.loss_mask: 0.7628, decode.d3.loss_dice: 1.1883, decode.d4.loss_cls: 0.8006, decode.d4.loss_mask: 0.7614, decode.d4.loss_dice: 1.1845, decode.d5.loss_cls: 0.8017, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1748, decode.d6.loss_cls: 0.8001, decode.d6.loss_mask: 0.7530, decode.d6.loss_dice: 1.1709, decode.d7.loss_cls: 0.7950, decode.d7.loss_mask: 0.7511, decode.d7.loss_dice: 1.1687, decode.d8.loss_cls: 0.7912, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.1720, loss: 29.5581 2022-04-30 00:51:35,919 - mmseg - INFO - Iter [55550/80000] lr: 4.388e-07, eta: 12:33:17, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7715, decode.loss_mask: 0.7629, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.5490, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8618, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2690, decode.d2.loss_cls: 0.8079, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.2168, decode.d3.loss_cls: 0.7893, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.1829, decode.d4.loss_cls: 0.7804, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.1918, decode.d5.loss_cls: 0.7756, decode.d5.loss_mask: 0.7631, decode.d5.loss_dice: 1.1815, decode.d6.loss_cls: 0.7735, decode.d6.loss_mask: 0.7595, decode.d6.loss_dice: 1.1758, decode.d7.loss_cls: 0.7673, decode.d7.loss_mask: 0.7616, decode.d7.loss_dice: 1.1734, decode.d8.loss_cls: 0.7683, decode.d8.loss_mask: 0.7606, decode.d8.loss_dice: 1.1734, loss: 29.3874 2022-04-30 00:53:06,697 - mmseg - INFO - Iter [55600/80000] lr: 4.379e-07, eta: 12:31:44, time: 1.815, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7801, decode.loss_mask: 0.7631, decode.loss_dice: 1.1942, decode.d0.loss_cls: 2.5938, decode.d0.loss_mask: 0.7841, decode.d0.loss_dice: 1.3569, decode.d1.loss_cls: 0.8795, decode.d1.loss_mask: 0.8018, decode.d1.loss_dice: 1.2841, decode.d2.loss_cls: 0.8110, decode.d2.loss_mask: 0.7917, decode.d2.loss_dice: 1.2373, decode.d3.loss_cls: 0.7958, decode.d3.loss_mask: 0.7810, decode.d3.loss_dice: 1.2143, decode.d4.loss_cls: 0.7854, decode.d4.loss_mask: 0.7730, decode.d4.loss_dice: 1.2139, decode.d5.loss_cls: 0.7884, decode.d5.loss_mask: 0.7709, decode.d5.loss_dice: 1.1976, decode.d6.loss_cls: 0.7828, decode.d6.loss_mask: 0.7674, decode.d6.loss_dice: 1.1925, decode.d7.loss_cls: 0.7777, decode.d7.loss_mask: 0.7698, decode.d7.loss_dice: 1.1946, decode.d8.loss_cls: 0.7768, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1889, loss: 29.8152 2022-04-30 00:54:37,062 - mmseg - INFO - Iter [55650/80000] lr: 4.370e-07, eta: 12:30:11, time: 1.807, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7961, decode.loss_mask: 0.7749, decode.loss_dice: 1.1702, decode.d0.loss_cls: 2.5957, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.3389, decode.d1.loss_cls: 0.8856, decode.d1.loss_mask: 0.8088, decode.d1.loss_dice: 1.2603, decode.d2.loss_cls: 0.8245, decode.d2.loss_mask: 0.7910, decode.d2.loss_dice: 1.2117, decode.d3.loss_cls: 0.8166, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.1819, decode.d4.loss_cls: 0.8037, decode.d4.loss_mask: 0.7799, decode.d4.loss_dice: 1.1792, decode.d5.loss_cls: 0.8034, decode.d5.loss_mask: 0.7815, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7980, decode.d6.loss_mask: 0.7795, decode.d6.loss_dice: 1.1661, decode.d7.loss_cls: 0.7934, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.1704, decode.d8.loss_cls: 0.7904, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.1656, loss: 29.7555 2022-04-30 00:56:07,298 - mmseg - INFO - Iter [55700/80000] lr: 4.361e-07, eta: 12:28:38, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7812, decode.loss_mask: 0.7752, decode.loss_dice: 1.1784, decode.d0.loss_cls: 2.5990, decode.d0.loss_mask: 0.7865, decode.d0.loss_dice: 1.3308, decode.d1.loss_cls: 0.8743, decode.d1.loss_mask: 0.8029, decode.d1.loss_dice: 1.2554, decode.d2.loss_cls: 0.8097, decode.d2.loss_mask: 0.7907, decode.d2.loss_dice: 1.2128, decode.d3.loss_cls: 0.7881, decode.d3.loss_mask: 0.7835, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7865, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.1870, decode.d5.loss_cls: 0.7885, decode.d5.loss_mask: 0.7775, decode.d5.loss_dice: 1.1775, decode.d6.loss_cls: 0.7813, decode.d6.loss_mask: 0.7744, decode.d6.loss_dice: 1.1811, decode.d7.loss_cls: 0.7802, decode.d7.loss_mask: 0.7754, decode.d7.loss_dice: 1.1773, decode.d8.loss_cls: 0.7730, decode.d8.loss_mask: 0.7771, decode.d8.loss_dice: 1.1750, loss: 29.6485 2022-04-30 00:57:36,351 - mmseg - INFO - Iter [55750/80000] lr: 4.352e-07, eta: 12:27:04, time: 1.781, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7934, decode.loss_mask: 0.7763, decode.loss_dice: 1.2017, decode.d0.loss_cls: 2.6075, decode.d0.loss_mask: 0.7868, decode.d0.loss_dice: 1.3853, decode.d1.loss_cls: 0.8857, decode.d1.loss_mask: 0.8134, decode.d1.loss_dice: 1.3106, decode.d2.loss_cls: 0.8334, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.2491, decode.d3.loss_cls: 0.8136, decode.d3.loss_mask: 0.7820, decode.d3.loss_dice: 1.2342, decode.d4.loss_cls: 0.8143, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2245, decode.d5.loss_cls: 0.8049, decode.d5.loss_mask: 0.7764, decode.d5.loss_dice: 1.2232, decode.d6.loss_cls: 0.7953, decode.d6.loss_mask: 0.7727, decode.d6.loss_dice: 1.2067, decode.d7.loss_cls: 0.7935, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.2096, decode.d8.loss_cls: 0.7918, decode.d8.loss_mask: 0.7789, decode.d8.loss_dice: 1.2082, loss: 30.2234 2022-04-30 00:59:06,683 - mmseg - INFO - Iter [55800/80000] lr: 4.343e-07, eta: 12:25:30, time: 1.807, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7912, decode.loss_mask: 0.7656, decode.loss_dice: 1.1743, decode.d0.loss_cls: 2.5330, decode.d0.loss_mask: 0.7812, decode.d0.loss_dice: 1.3449, decode.d1.loss_cls: 0.8789, decode.d1.loss_mask: 0.7958, decode.d1.loss_dice: 1.2790, decode.d2.loss_cls: 0.8241, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2223, decode.d3.loss_cls: 0.8021, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.2037, decode.d4.loss_cls: 0.7932, decode.d4.loss_mask: 0.7804, decode.d4.loss_dice: 1.1979, decode.d5.loss_cls: 0.7872, decode.d5.loss_mask: 0.7749, decode.d5.loss_dice: 1.1940, decode.d6.loss_cls: 0.7806, decode.d6.loss_mask: 0.7747, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 0.7875, decode.d7.loss_mask: 0.7711, decode.d7.loss_dice: 1.1785, decode.d8.loss_cls: 0.7854, decode.d8.loss_mask: 0.7704, decode.d8.loss_dice: 1.1791, loss: 29.7021 2022-04-30 01:00:36,480 - mmseg - INFO - Iter [55850/80000] lr: 4.334e-07, eta: 12:23:57, time: 1.796, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7744, decode.loss_mask: 0.7713, decode.loss_dice: 1.1951, decode.d0.loss_cls: 2.5683, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3791, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2951, decode.d2.loss_cls: 0.8011, decode.d2.loss_mask: 0.7944, decode.d2.loss_dice: 1.2439, decode.d3.loss_cls: 0.7898, decode.d3.loss_mask: 0.7843, decode.d3.loss_dice: 1.2169, decode.d4.loss_cls: 0.7800, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.2175, decode.d5.loss_cls: 0.7829, decode.d5.loss_mask: 0.7728, decode.d5.loss_dice: 1.2024, decode.d6.loss_cls: 0.7788, decode.d6.loss_mask: 0.7682, decode.d6.loss_dice: 1.1947, decode.d7.loss_cls: 0.7784, decode.d7.loss_mask: 0.7665, decode.d7.loss_dice: 1.1949, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.1905, loss: 29.8163 2022-04-30 01:02:05,698 - mmseg - INFO - Iter [55900/80000] lr: 4.326e-07, eta: 12:22:23, time: 1.784, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7965, decode.loss_mask: 0.7348, decode.loss_dice: 1.1788, decode.d0.loss_cls: 2.5774, decode.d0.loss_mask: 0.7488, decode.d0.loss_dice: 1.3681, decode.d1.loss_cls: 0.8856, decode.d1.loss_mask: 0.7658, decode.d1.loss_dice: 1.2811, decode.d2.loss_cls: 0.8276, decode.d2.loss_mask: 0.7482, decode.d2.loss_dice: 1.2268, decode.d3.loss_cls: 0.8147, decode.d3.loss_mask: 0.7421, decode.d3.loss_dice: 1.1984, decode.d4.loss_cls: 0.8083, decode.d4.loss_mask: 0.7424, decode.d4.loss_dice: 1.1939, decode.d5.loss_cls: 0.8073, decode.d5.loss_mask: 0.7415, decode.d5.loss_dice: 1.1903, decode.d6.loss_cls: 0.7990, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.1853, decode.d7.loss_cls: 0.7936, decode.d7.loss_mask: 0.7372, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 0.7942, decode.d8.loss_mask: 0.7368, decode.d8.loss_dice: 1.1797, loss: 29.5251 2022-04-30 01:03:35,789 - mmseg - INFO - Iter [55950/80000] lr: 4.317e-07, eta: 12:20:50, time: 1.802, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8081, decode.loss_mask: 0.7559, decode.loss_dice: 1.1941, decode.d0.loss_cls: 2.5788, decode.d0.loss_mask: 0.7603, decode.d0.loss_dice: 1.3815, decode.d1.loss_cls: 0.8878, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.8457, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.2413, decode.d3.loss_cls: 0.8302, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.2061, decode.d4.loss_cls: 0.8245, decode.d4.loss_mask: 0.7623, decode.d4.loss_dice: 1.2136, decode.d5.loss_cls: 0.8173, decode.d5.loss_mask: 0.7624, decode.d5.loss_dice: 1.2047, decode.d6.loss_cls: 0.8173, decode.d6.loss_mask: 0.7551, decode.d6.loss_dice: 1.1917, decode.d7.loss_cls: 0.8140, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1902, decode.d8.loss_cls: 0.8110, decode.d8.loss_mask: 0.7555, decode.d8.loss_dice: 1.1956, loss: 29.9709 2022-04-30 01:05:06,107 - mmseg - INFO - Saving checkpoint at 56000 iterations 2022-04-30 01:05:29,599 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 01:05:29,602 - mmseg - INFO - Iter [56000/80000] lr: 4.308e-07, eta: 12:19:26, time: 2.272, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8240, decode.loss_mask: 0.7701, decode.loss_dice: 1.2207, decode.d0.loss_cls: 2.5932, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 0.9226, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.3183, decode.d2.loss_cls: 0.8576, decode.d2.loss_mask: 0.7928, decode.d2.loss_dice: 1.2700, decode.d3.loss_cls: 0.8370, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.2406, decode.d4.loss_cls: 0.8360, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.2359, decode.d5.loss_cls: 0.8371, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.2237, decode.d6.loss_cls: 0.8285, decode.d6.loss_mask: 0.7699, decode.d6.loss_dice: 1.2218, decode.d7.loss_cls: 0.8288, decode.d7.loss_mask: 0.7730, decode.d7.loss_dice: 1.2245, decode.d8.loss_cls: 0.8262, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.2239, loss: 30.5693 2022-04-30 01:10:24,051 - mmseg - INFO - per class results: 2022-04-30 01:10:24,080 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.9 | 93.69 | | bicycle | 76.66 | 86.71 | | car | 67.18 | 83.2 | | motorcycle | 85.92 | 91.37 | | airplane | 84.08 | 91.11 | | bus | 85.55 | 90.57 | | train | 87.93 | 95.18 | | truck | 65.54 | 80.68 | | boat | 69.76 | 84.95 | | traffic light | 75.25 | 88.04 | | fire hydrant | 92.1 | 96.52 | | stop sign | 91.4 | 97.77 | | parking meter | 76.96 | 87.35 | | bench | 57.61 | 76.99 | | bird | 86.13 | 92.11 | | cat | 85.23 | 91.5 | | dog | 80.79 | 89.15 | | horse | 87.2 | 94.25 | | sheep | 88.84 | 95.89 | | cow | 88.73 | 92.74 | | elephant | 93.46 | 96.74 | | bear | 93.33 | 96.14 | | zebra | 92.88 | 96.12 | | giraffe | 88.48 | 94.43 | | backpack | 44.04 | 71.63 | | umbrella | 88.28 | 92.95 | | handbag | 42.5 | 71.31 | | tie | 18.88 | 24.38 | | suitcase | 84.53 | 94.03 | | frisbee | 83.19 | 95.22 | | skis | 60.93 | 77.04 | | snowboard | 72.96 | 82.16 | | sports ball | 64.7 | 79.76 | | kite | 76.99 | 87.71 | | baseball bat | 63.0 | 81.3 | | baseball glove | 73.7 | 91.46 | | skateboard | 85.24 | 91.61 | | surfboard | 84.76 | 92.11 | | tennis racket | 89.9 | 95.6 | | bottle | 48.0 | 58.02 | | wine glass | 59.95 | 81.43 | | cup | 65.46 | 82.74 | | fork | 48.78 | 60.81 | | knife | 43.5 | 59.51 | | spoon | 37.69 | 60.39 | | bowl | 49.37 | 70.96 | | banana | 69.22 | 90.49 | | apple | 58.85 | 73.95 | | sandwich | 48.96 | 63.09 | | orange | 80.88 | 86.45 | | broccoli | 53.67 | 67.16 | | carrot | 61.95 | 75.99 | | hot dog | 54.31 | 66.26 | | pizza | 74.18 | 88.04 | | donut | 73.35 | 85.25 | | cake | 72.32 | 82.61 | | chair | 54.48 | 70.54 | | couch | 61.14 | 79.93 | | potted plant | 33.46 | 51.59 | | bed | 68.53 | 84.31 | | dining table | 44.85 | 78.87 | | toilet | 87.17 | 95.15 | | tv | 74.88 | 85.77 | | laptop | 78.56 | 95.06 | | mouse | 82.98 | 91.02 | | remote | 64.0 | 78.93 | | keyboard | 65.14 | 71.4 | | cell phone | 76.3 | 89.6 | | microwave | 69.78 | 83.8 | | oven | 61.83 | 86.71 | | toaster | 49.37 | 55.43 | | sink | 68.45 | 80.43 | | refrigerator | 79.7 | 92.38 | | book | 55.44 | 81.02 | | clock | 72.66 | 82.77 | | vase | 62.14 | 86.22 | | scissors | 82.61 | 92.46 | | teddy bear | 80.48 | 92.07 | | hair drier | 56.41 | 58.34 | | toothbrush | 61.03 | 85.17 | | banner | 31.58 | 75.89 | | blanket | 2.96 | 3.62 | | branch | 19.1 | 30.7 | | bridge | 42.21 | 60.44 | | building-other | 53.26 | 70.04 | | bush | 32.91 | 42.27 | | cabinet | 53.24 | 70.81 | | cage | 25.95 | 42.34 | | cardboard | 45.85 | 56.5 | | carpet | 50.5 | 67.3 | | ceiling-other | 66.69 | 84.27 | | ceiling-tile | 0.0 | 0.0 | | cloth | 3.85 | 3.98 | | clothes | 23.12 | 35.74 | | clouds | 44.58 | 56.05 | | counter | 33.66 | 58.93 | | cupboard | 0.0 | 0.0 | | curtain | 72.08 | 82.76 | | desk-stuff | 45.02 | 60.43 | | dirt | 41.88 | 62.34 | | door-stuff | 47.48 | 73.64 | | fence | 32.56 | 53.97 | | floor-marble | 8.3 | 9.04 | | floor-other | 21.92 | 28.43 | | floor-stone | 7.99 | 10.62 | | floor-tile | 65.41 | 78.59 | | floor-wood | 64.25 | 81.76 | | flower | 44.08 | 61.3 | | fog | 4.9 | 5.15 | | food-other | 24.09 | 28.79 | | fruit | 41.7 | 63.79 | | furniture-other | 22.44 | 31.69 | | grass | 70.76 | 81.58 | | gravel | 32.0 | 43.92 | | ground-other | 5.04 | 5.8 | | hill | 19.16 | 24.96 | | house | 25.28 | 33.0 | | leaves | 29.62 | 41.58 | | light | 42.33 | 62.15 | | mat | 0.33 | 0.34 | | metal | 36.95 | 53.23 | | mirror-stuff | 61.38 | 78.63 | | moss | 0.0 | 0.0 | | mountain | 55.31 | 72.63 | | mud | 6.34 | 8.39 | | napkin | 4.05 | 4.48 | | net | 46.47 | 73.67 | | paper | 30.32 | 41.85 | | pavement | 53.98 | 70.69 | | pillow | 20.05 | 34.65 | | plant-other | 21.74 | 40.42 | | plastic | 30.13 | 42.32 | | platform | 32.52 | 57.73 | | playingfield | 69.57 | 93.31 | | railing | 7.9 | 14.87 | | railroad | 61.68 | 81.45 | | river | 51.78 | 72.88 | | road | 67.17 | 84.55 | | rock | 43.51 | 65.5 | | roof | 16.99 | 21.6 | | rug | 32.29 | 59.9 | | salad | 0.0 | 0.0 | | sand | 66.98 | 72.51 | | sea | 84.65 | 92.22 | | shelf | 38.38 | 51.57 | | sky-other | 70.77 | 88.78 | | skyscraper | 34.65 | 45.17 | | snow | 91.97 | 94.97 | | solid-other | 0.0 | 0.0 | | stairs | 31.45 | 59.64 | | stone | 9.92 | 16.19 | | straw | 29.51 | 44.74 | | structural-other | 0.28 | 0.29 | | table | 18.69 | 24.48 | | tent | 11.14 | 13.95 | | textile-other | 16.62 | 28.61 | | towel | 38.98 | 47.12 | | tree | 74.26 | 86.14 | | vegetable | 41.11 | 49.83 | | wall-brick | 51.88 | 70.02 | | wall-concrete | 62.88 | 81.27 | | wall-other | 20.85 | 30.6 | | wall-panel | 10.35 | 12.34 | | wall-stone | 30.98 | 38.47 | | wall-tile | 71.94 | 85.82 | | wall-wood | 42.9 | 59.21 | | water-other | 21.36 | 32.34 | | waterdrops | 0.0 | 0.0 | | window-blind | 52.64 | 64.72 | | window-other | 49.62 | 70.64 | | wood | 27.55 | 42.9 | +------------------+-------+-------+ 2022-04-30 01:10:24,081 - mmseg - INFO - Summary: 2022-04-30 01:10:24,081 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 73.13 | 51.26 | 63.6 | +-------+-------+------+ 2022-04-30 01:10:24,084 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_48000.pth was removed 2022-04-30 01:10:47,462 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_56000.pth. 2022-04-30 01:10:47,465 - mmseg - INFO - Best mIoU is 0.5126 at 56000 iter. 2022-04-30 01:10:47,487 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 01:10:47,488 - mmseg - INFO - Iter(val) [313] aAcc: 0.7313, mIoU: 0.5126, mAcc: 0.6360, IoU.person: 0.8790, IoU.bicycle: 0.7666, IoU.car: 0.6718, IoU.motorcycle: 0.8592, IoU.airplane: 0.8408, IoU.bus: 0.8555, IoU.train: 0.8793, IoU.truck: 0.6554, IoU.boat: 0.6976, IoU.traffic light: 0.7525, IoU.fire hydrant: 0.9210, IoU.stop sign: 0.9140, IoU.parking meter: 0.7696, IoU.bench: 0.5761, IoU.bird: 0.8613, IoU.cat: 0.8523, IoU.dog: 0.8079, IoU.horse: 0.8720, IoU.sheep: 0.8884, IoU.cow: 0.8873, IoU.elephant: 0.9346, IoU.bear: 0.9333, IoU.zebra: 0.9288, IoU.giraffe: 0.8848, IoU.backpack: 0.4404, IoU.umbrella: 0.8828, IoU.handbag: 0.4250, IoU.tie: 0.1888, IoU.suitcase: 0.8453, IoU.frisbee: 0.8319, IoU.skis: 0.6093, IoU.snowboard: 0.7296, IoU.sports ball: 0.6470, IoU.kite: 0.7699, IoU.baseball bat: 0.6300, IoU.baseball glove: 0.7370, IoU.skateboard: 0.8524, IoU.surfboard: 0.8476, IoU.tennis racket: 0.8990, IoU.bottle: 0.4800, IoU.wine glass: 0.5995, IoU.cup: 0.6546, IoU.fork: 0.4878, IoU.knife: 0.4350, IoU.spoon: 0.3769, IoU.bowl: 0.4937, IoU.banana: 0.6922, IoU.apple: 0.5885, IoU.sandwich: 0.4896, IoU.orange: 0.8088, IoU.broccoli: 0.5367, IoU.carrot: 0.6195, IoU.hot dog: 0.5431, IoU.pizza: 0.7418, IoU.donut: 0.7335, IoU.cake: 0.7232, IoU.chair: 0.5448, IoU.couch: 0.6114, IoU.potted plant: 0.3346, IoU.bed: 0.6853, IoU.dining table: 0.4485, IoU.toilet: 0.8717, IoU.tv: 0.7488, IoU.laptop: 0.7856, IoU.mouse: 0.8298, IoU.remote: 0.6400, IoU.keyboard: 0.6514, IoU.cell phone: 0.7630, IoU.microwave: 0.6978, IoU.oven: 0.6183, IoU.toaster: 0.4937, IoU.sink: 0.6845, IoU.refrigerator: 0.7970, IoU.book: 0.5544, IoU.clock: 0.7266, IoU.vase: 0.6214, IoU.scissors: 0.8261, IoU.teddy bear: 0.8048, IoU.hair drier: 0.5641, IoU.toothbrush: 0.6103, IoU.banner: 0.3158, IoU.blanket: 0.0296, IoU.branch: 0.1910, IoU.bridge: 0.4221, IoU.building-other: 0.5326, IoU.bush: 0.3291, IoU.cabinet: 0.5324, IoU.cage: 0.2595, IoU.cardboard: 0.4585, IoU.carpet: 0.5050, IoU.ceiling-other: 0.6669, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0385, IoU.clothes: 0.2312, IoU.clouds: 0.4458, IoU.counter: 0.3366, IoU.cupboard: 0.0000, IoU.curtain: 0.7208, IoU.desk-stuff: 0.4502, IoU.dirt: 0.4188, IoU.door-stuff: 0.4748, IoU.fence: 0.3256, IoU.floor-marble: 0.0830, IoU.floor-other: 0.2192, IoU.floor-stone: 0.0799, IoU.floor-tile: 0.6541, IoU.floor-wood: 0.6425, IoU.flower: 0.4408, IoU.fog: 0.0490, IoU.food-other: 0.2409, IoU.fruit: 0.4170, IoU.furniture-other: 0.2244, IoU.grass: 0.7076, IoU.gravel: 0.3200, IoU.ground-other: 0.0504, IoU.hill: 0.1916, IoU.house: 0.2528, IoU.leaves: 0.2962, IoU.light: 0.4233, IoU.mat: 0.0033, IoU.metal: 0.3695, IoU.mirror-stuff: 0.6138, IoU.moss: 0.0000, IoU.mountain: 0.5531, IoU.mud: 0.0634, IoU.napkin: 0.0405, IoU.net: 0.4647, IoU.paper: 0.3032, IoU.pavement: 0.5398, IoU.pillow: 0.2005, IoU.plant-other: 0.2174, IoU.plastic: 0.3013, IoU.platform: 0.3252, IoU.playingfield: 0.6957, IoU.railing: 0.0790, IoU.railroad: 0.6168, IoU.river: 0.5178, IoU.road: 0.6717, IoU.rock: 0.4351, IoU.roof: 0.1699, IoU.rug: 0.3229, IoU.salad: 0.0000, IoU.sand: 0.6698, IoU.sea: 0.8465, IoU.shelf: 0.3838, IoU.sky-other: 0.7077, IoU.skyscraper: 0.3465, IoU.snow: 0.9197, IoU.solid-other: 0.0000, IoU.stairs: 0.3145, IoU.stone: 0.0992, IoU.straw: 0.2951, IoU.structural-other: 0.0028, IoU.table: 0.1869, IoU.tent: 0.1114, IoU.textile-other: 0.1662, IoU.towel: 0.3898, IoU.tree: 0.7426, IoU.vegetable: 0.4111, IoU.wall-brick: 0.5188, IoU.wall-concrete: 0.6288, IoU.wall-other: 0.2085, IoU.wall-panel: 0.1035, IoU.wall-stone: 0.3098, IoU.wall-tile: 0.7194, IoU.wall-wood: 0.4290, IoU.water-other: 0.2136, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5264, IoU.window-other: 0.4962, IoU.wood: 0.2755, Acc.person: 0.9369, Acc.bicycle: 0.8671, Acc.car: 0.8320, Acc.motorcycle: 0.9137, Acc.airplane: 0.9111, Acc.bus: 0.9057, Acc.train: 0.9518, Acc.truck: 0.8068, Acc.boat: 0.8495, Acc.traffic light: 0.8804, Acc.fire hydrant: 0.9652, Acc.stop sign: 0.9777, Acc.parking meter: 0.8735, Acc.bench: 0.7699, Acc.bird: 0.9211, Acc.cat: 0.9150, Acc.dog: 0.8915, Acc.horse: 0.9425, Acc.sheep: 0.9589, Acc.cow: 0.9274, Acc.elephant: 0.9674, Acc.bear: 0.9614, Acc.zebra: 0.9612, Acc.giraffe: 0.9443, Acc.backpack: 0.7163, Acc.umbrella: 0.9295, Acc.handbag: 0.7131, Acc.tie: 0.2438, Acc.suitcase: 0.9403, Acc.frisbee: 0.9522, Acc.skis: 0.7704, Acc.snowboard: 0.8216, Acc.sports ball: 0.7976, Acc.kite: 0.8771, Acc.baseball bat: 0.8130, Acc.baseball glove: 0.9146, Acc.skateboard: 0.9161, Acc.surfboard: 0.9211, Acc.tennis racket: 0.9560, Acc.bottle: 0.5802, Acc.wine glass: 0.8143, Acc.cup: 0.8274, Acc.fork: 0.6081, Acc.knife: 0.5951, Acc.spoon: 0.6039, Acc.bowl: 0.7096, Acc.banana: 0.9049, Acc.apple: 0.7395, Acc.sandwich: 0.6309, Acc.orange: 0.8645, Acc.broccoli: 0.6716, Acc.carrot: 0.7599, Acc.hot dog: 0.6626, Acc.pizza: 0.8804, Acc.donut: 0.8525, Acc.cake: 0.8261, Acc.chair: 0.7054, Acc.couch: 0.7993, Acc.potted plant: 0.5159, Acc.bed: 0.8431, Acc.dining table: 0.7887, Acc.toilet: 0.9515, Acc.tv: 0.8577, Acc.laptop: 0.9506, Acc.mouse: 0.9102, Acc.remote: 0.7893, Acc.keyboard: 0.7140, Acc.cell phone: 0.8960, Acc.microwave: 0.8380, Acc.oven: 0.8671, Acc.toaster: 0.5543, Acc.sink: 0.8043, Acc.refrigerator: 0.9238, Acc.book: 0.8102, Acc.clock: 0.8277, Acc.vase: 0.8622, Acc.scissors: 0.9246, Acc.teddy bear: 0.9207, Acc.hair drier: 0.5834, Acc.toothbrush: 0.8517, Acc.banner: 0.7589, Acc.blanket: 0.0362, Acc.branch: 0.3070, Acc.bridge: 0.6044, Acc.building-other: 0.7004, Acc.bush: 0.4227, Acc.cabinet: 0.7081, Acc.cage: 0.4234, Acc.cardboard: 0.5650, Acc.carpet: 0.6730, Acc.ceiling-other: 0.8427, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0398, Acc.clothes: 0.3574, Acc.clouds: 0.5605, Acc.counter: 0.5893, Acc.cupboard: 0.0000, Acc.curtain: 0.8276, Acc.desk-stuff: 0.6043, Acc.dirt: 0.6234, Acc.door-stuff: 0.7364, Acc.fence: 0.5397, Acc.floor-marble: 0.0904, Acc.floor-other: 0.2843, Acc.floor-stone: 0.1062, Acc.floor-tile: 0.7859, Acc.floor-wood: 0.8176, Acc.flower: 0.6130, Acc.fog: 0.0515, Acc.food-other: 0.2879, Acc.fruit: 0.6379, Acc.furniture-other: 0.3169, Acc.grass: 0.8158, Acc.gravel: 0.4392, Acc.ground-other: 0.0580, Acc.hill: 0.2496, Acc.house: 0.3300, Acc.leaves: 0.4158, Acc.light: 0.6215, Acc.mat: 0.0034, Acc.metal: 0.5323, Acc.mirror-stuff: 0.7863, Acc.moss: 0.0000, Acc.mountain: 0.7263, Acc.mud: 0.0839, Acc.napkin: 0.0448, Acc.net: 0.7367, Acc.paper: 0.4185, Acc.pavement: 0.7069, Acc.pillow: 0.3465, Acc.plant-other: 0.4042, Acc.plastic: 0.4232, Acc.platform: 0.5773, Acc.playingfield: 0.9331, Acc.railing: 0.1487, Acc.railroad: 0.8145, Acc.river: 0.7288, Acc.road: 0.8455, Acc.rock: 0.6550, Acc.roof: 0.2160, Acc.rug: 0.5990, Acc.salad: 0.0000, Acc.sand: 0.7251, Acc.sea: 0.9222, Acc.shelf: 0.5157, Acc.sky-other: 0.8878, Acc.skyscraper: 0.4517, Acc.snow: 0.9497, Acc.solid-other: 0.0000, Acc.stairs: 0.5964, Acc.stone: 0.1619, Acc.straw: 0.4474, Acc.structural-other: 0.0029, Acc.table: 0.2448, Acc.tent: 0.1395, Acc.textile-other: 0.2861, Acc.towel: 0.4712, Acc.tree: 0.8614, Acc.vegetable: 0.4983, Acc.wall-brick: 0.7002, Acc.wall-concrete: 0.8127, Acc.wall-other: 0.3060, Acc.wall-panel: 0.1234, Acc.wall-stone: 0.3847, Acc.wall-tile: 0.8582, Acc.wall-wood: 0.5921, Acc.water-other: 0.3234, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6472, Acc.window-other: 0.7064, Acc.wood: 0.4290 2022-04-30 01:12:19,229 - mmseg - INFO - Iter [56050/80000] lr: 4.299e-07, eta: 12:20:10, time: 8.197, data_time: 6.377, memory: 64979, decode.loss_cls: 0.8066, decode.loss_mask: 0.7784, decode.loss_dice: 1.1819, decode.d0.loss_cls: 2.5544, decode.d0.loss_mask: 0.7940, decode.d0.loss_dice: 1.3644, decode.d1.loss_cls: 0.8872, decode.d1.loss_mask: 0.8197, decode.d1.loss_dice: 1.2789, decode.d2.loss_cls: 0.8317, decode.d2.loss_mask: 0.8025, decode.d2.loss_dice: 1.2332, decode.d3.loss_cls: 0.8228, decode.d3.loss_mask: 0.7903, decode.d3.loss_dice: 1.2018, decode.d4.loss_cls: 0.8144, decode.d4.loss_mask: 0.7861, decode.d4.loss_dice: 1.1976, decode.d5.loss_cls: 0.8082, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.1946, decode.d6.loss_cls: 0.8097, decode.d6.loss_mask: 0.7790, decode.d6.loss_dice: 1.1808, decode.d7.loss_cls: 0.7991, decode.d7.loss_mask: 0.7816, decode.d7.loss_dice: 1.1903, decode.d8.loss_cls: 0.7968, decode.d8.loss_mask: 0.7771, decode.d8.loss_dice: 1.1778, loss: 30.0286 2022-04-30 01:13:50,417 - mmseg - INFO - Iter [56100/80000] lr: 4.290e-07, eta: 12:18:36, time: 1.824, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8132, decode.loss_mask: 0.7585, decode.loss_dice: 1.1966, decode.d0.loss_cls: 2.6354, decode.d0.loss_mask: 0.7726, decode.d0.loss_dice: 1.3694, decode.d1.loss_cls: 0.9110, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2987, decode.d2.loss_cls: 0.8479, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.2529, decode.d3.loss_cls: 0.8265, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.2246, decode.d4.loss_cls: 0.8235, decode.d4.loss_mask: 0.7675, decode.d4.loss_dice: 1.2172, decode.d5.loss_cls: 0.8171, decode.d5.loss_mask: 0.7668, decode.d5.loss_dice: 1.2112, decode.d6.loss_cls: 0.8149, decode.d6.loss_mask: 0.7680, decode.d6.loss_dice: 1.2071, decode.d7.loss_cls: 0.8067, decode.d7.loss_mask: 0.7668, decode.d7.loss_dice: 1.2051, decode.d8.loss_cls: 0.8118, decode.d8.loss_mask: 0.7626, decode.d8.loss_dice: 1.2027, loss: 30.2082 2022-04-30 01:15:20,177 - mmseg - INFO - Iter [56150/80000] lr: 4.281e-07, eta: 12:17:02, time: 1.795, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7971, decode.loss_mask: 0.7498, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.5456, decode.d0.loss_mask: 0.7590, decode.d0.loss_dice: 1.3645, decode.d1.loss_cls: 0.8972, decode.d1.loss_mask: 0.7822, decode.d1.loss_dice: 1.2647, decode.d2.loss_cls: 0.8355, decode.d2.loss_mask: 0.7611, decode.d2.loss_dice: 1.2154, decode.d3.loss_cls: 0.8175, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.1946, decode.d4.loss_cls: 0.8149, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.1900, decode.d5.loss_cls: 0.8037, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.1877, decode.d6.loss_cls: 0.8049, decode.d6.loss_mask: 0.7545, decode.d6.loss_dice: 1.1726, decode.d7.loss_cls: 0.7954, decode.d7.loss_mask: 0.7509, decode.d7.loss_dice: 1.1830, decode.d8.loss_cls: 0.7999, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.1708, loss: 29.6030 2022-04-30 01:16:50,172 - mmseg - INFO - Iter [56200/80000] lr: 4.272e-07, eta: 12:15:28, time: 1.800, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7562, decode.loss_mask: 0.7474, decode.loss_dice: 1.1291, decode.d0.loss_cls: 2.4993, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 0.8420, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.2228, decode.d2.loss_cls: 0.7868, decode.d2.loss_mask: 0.7623, decode.d2.loss_dice: 1.1681, decode.d3.loss_cls: 0.7737, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.1556, decode.d4.loss_cls: 0.7655, decode.d4.loss_mask: 0.7492, decode.d4.loss_dice: 1.1523, decode.d5.loss_cls: 0.7651, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.1442, decode.d6.loss_cls: 0.7595, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.1286, decode.d7.loss_cls: 0.7552, decode.d7.loss_mask: 0.7465, decode.d7.loss_dice: 1.1336, decode.d8.loss_cls: 0.7582, decode.d8.loss_mask: 0.7452, decode.d8.loss_dice: 1.1305, loss: 28.6746 2022-04-30 01:18:21,174 - mmseg - INFO - Iter [56250/80000] lr: 4.263e-07, eta: 12:13:55, time: 1.820, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7854, decode.loss_mask: 0.7548, decode.loss_dice: 1.1759, decode.d0.loss_cls: 2.5980, decode.d0.loss_mask: 0.7604, decode.d0.loss_dice: 1.3513, decode.d1.loss_cls: 0.8703, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.2788, decode.d2.loss_cls: 0.8089, decode.d2.loss_mask: 0.7723, decode.d2.loss_dice: 1.2276, decode.d3.loss_cls: 0.7937, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.2033, decode.d4.loss_cls: 0.7856, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1931, decode.d5.loss_cls: 0.7850, decode.d5.loss_mask: 0.7578, decode.d5.loss_dice: 1.1872, decode.d6.loss_cls: 0.7773, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1763, decode.d7.loss_cls: 0.7850, decode.d7.loss_mask: 0.7554, decode.d7.loss_dice: 1.1738, decode.d8.loss_cls: 0.7846, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.1773, loss: 29.5452 2022-04-30 01:19:53,269 - mmseg - INFO - Iter [56300/80000] lr: 4.254e-07, eta: 12:12:22, time: 1.841, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7969, decode.loss_mask: 0.7415, decode.loss_dice: 1.1582, decode.d0.loss_cls: 2.5710, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.3454, decode.d1.loss_cls: 0.8819, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.2649, decode.d2.loss_cls: 0.8211, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.2084, decode.d3.loss_cls: 0.8087, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.1822, decode.d4.loss_cls: 0.8051, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.1763, decode.d5.loss_cls: 0.7993, decode.d5.loss_mask: 0.7493, decode.d5.loss_dice: 1.1695, decode.d6.loss_cls: 0.7955, decode.d6.loss_mask: 0.7410, decode.d6.loss_dice: 1.1562, decode.d7.loss_cls: 0.7977, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7393, decode.d8.loss_dice: 1.1616, loss: 29.3754 2022-04-30 01:21:24,310 - mmseg - INFO - Iter [56350/80000] lr: 4.245e-07, eta: 12:10:49, time: 1.821, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7880, decode.loss_mask: 0.7627, decode.loss_dice: 1.1627, decode.d0.loss_cls: 2.5516, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.3472, decode.d1.loss_cls: 0.8763, decode.d1.loss_mask: 0.7947, decode.d1.loss_dice: 1.2617, decode.d2.loss_cls: 0.8222, decode.d2.loss_mask: 0.7711, decode.d2.loss_dice: 1.1994, decode.d3.loss_cls: 0.8053, decode.d3.loss_mask: 0.7696, decode.d3.loss_dice: 1.1854, decode.d4.loss_cls: 0.7942, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.1809, decode.d5.loss_cls: 0.7945, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.1724, decode.d6.loss_cls: 0.7927, decode.d6.loss_mask: 0.7588, decode.d6.loss_dice: 1.1584, decode.d7.loss_cls: 0.7888, decode.d7.loss_mask: 0.7549, decode.d7.loss_dice: 1.1558, decode.d8.loss_cls: 0.7889, decode.d8.loss_mask: 0.7568, decode.d8.loss_dice: 1.1616, loss: 29.4549 2022-04-30 01:22:55,356 - mmseg - INFO - Iter [56400/80000] lr: 4.236e-07, eta: 12:09:15, time: 1.821, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7617, decode.loss_mask: 0.7858, decode.loss_dice: 1.1493, decode.d0.loss_cls: 2.5008, decode.d0.loss_mask: 0.7960, decode.d0.loss_dice: 1.3215, decode.d1.loss_cls: 0.8455, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.2596, decode.d2.loss_cls: 0.7881, decode.d2.loss_mask: 0.8044, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7744, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.1770, decode.d4.loss_cls: 0.7588, decode.d4.loss_mask: 0.7952, decode.d4.loss_dice: 1.1740, decode.d5.loss_cls: 0.7664, decode.d5.loss_mask: 0.7936, decode.d5.loss_dice: 1.1653, decode.d6.loss_cls: 0.7591, decode.d6.loss_mask: 0.7874, decode.d6.loss_dice: 1.1521, decode.d7.loss_cls: 0.7619, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.7601, decode.d8.loss_mask: 0.7879, decode.d8.loss_dice: 1.1529, loss: 29.3258 2022-04-30 01:24:26,603 - mmseg - INFO - Iter [56450/80000] lr: 4.227e-07, eta: 12:07:42, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8032, decode.loss_mask: 0.7616, decode.loss_dice: 1.1603, decode.d0.loss_cls: 2.5818, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.3445, decode.d1.loss_cls: 0.8967, decode.d1.loss_mask: 0.8003, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.8361, decode.d2.loss_mask: 0.7762, decode.d2.loss_dice: 1.2028, decode.d3.loss_cls: 0.8169, decode.d3.loss_mask: 0.7671, decode.d3.loss_dice: 1.1698, decode.d4.loss_cls: 0.8101, decode.d4.loss_mask: 0.7624, decode.d4.loss_dice: 1.1714, decode.d5.loss_cls: 0.8055, decode.d5.loss_mask: 0.7674, decode.d5.loss_dice: 1.1670, decode.d6.loss_cls: 0.7989, decode.d6.loss_mask: 0.7648, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7969, decode.d7.loss_mask: 0.7643, decode.d7.loss_dice: 1.1617, decode.d8.loss_cls: 0.8000, decode.d8.loss_mask: 0.7630, decode.d8.loss_dice: 1.1591, loss: 29.6038 2022-04-30 01:25:58,349 - mmseg - INFO - Iter [56500/80000] lr: 4.218e-07, eta: 12:06:09, time: 1.835, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7818, decode.loss_mask: 0.7803, decode.loss_dice: 1.1761, decode.d0.loss_cls: 2.5602, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.3498, decode.d1.loss_cls: 0.8772, decode.d1.loss_mask: 0.8119, decode.d1.loss_dice: 1.2768, decode.d2.loss_cls: 0.8156, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.2206, decode.d3.loss_cls: 0.7989, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.1995, decode.d4.loss_cls: 0.7937, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.1967, decode.d5.loss_cls: 0.7851, decode.d5.loss_mask: 0.7852, decode.d5.loss_dice: 1.1926, decode.d6.loss_cls: 0.7798, decode.d6.loss_mask: 0.7827, decode.d6.loss_dice: 1.1819, decode.d7.loss_cls: 0.7800, decode.d7.loss_mask: 0.7772, decode.d7.loss_dice: 1.1831, decode.d8.loss_cls: 0.7824, decode.d8.loss_mask: 0.7769, decode.d8.loss_dice: 1.1780, loss: 29.7862 2022-04-30 01:27:29,746 - mmseg - INFO - Iter [56550/80000] lr: 4.209e-07, eta: 12:04:35, time: 1.828, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7802, decode.loss_mask: 0.7317, decode.loss_dice: 1.1597, decode.d0.loss_cls: 2.5505, decode.d0.loss_mask: 0.7440, decode.d0.loss_dice: 1.3206, decode.d1.loss_cls: 0.8638, decode.d1.loss_mask: 0.7703, decode.d1.loss_dice: 1.2595, decode.d2.loss_cls: 0.8062, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.2132, decode.d3.loss_cls: 0.7949, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.1901, decode.d4.loss_cls: 0.7826, decode.d4.loss_mask: 0.7520, decode.d4.loss_dice: 1.1901, decode.d5.loss_cls: 0.7827, decode.d5.loss_mask: 0.7428, decode.d5.loss_dice: 1.1770, decode.d6.loss_cls: 0.7753, decode.d6.loss_mask: 0.7369, decode.d6.loss_dice: 1.1698, decode.d7.loss_cls: 0.7835, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1663, decode.d8.loss_cls: 0.7753, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1673, loss: 29.1533 2022-04-30 01:29:00,679 - mmseg - INFO - Iter [56600/80000] lr: 4.200e-07, eta: 12:03:02, time: 1.819, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7852, decode.loss_mask: 0.7548, decode.loss_dice: 1.2185, decode.d0.loss_cls: 2.5463, decode.d0.loss_mask: 0.7668, decode.d0.loss_dice: 1.4081, decode.d1.loss_cls: 0.8738, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.3292, decode.d2.loss_cls: 0.8157, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.2742, decode.d3.loss_cls: 0.7973, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.2436, decode.d4.loss_cls: 0.7941, decode.d4.loss_mask: 0.7629, decode.d4.loss_dice: 1.2399, decode.d5.loss_cls: 0.7909, decode.d5.loss_mask: 0.7600, decode.d5.loss_dice: 1.2314, decode.d6.loss_cls: 0.7864, decode.d6.loss_mask: 0.7563, decode.d6.loss_dice: 1.2222, decode.d7.loss_cls: 0.7882, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.2214, decode.d8.loss_cls: 0.7829, decode.d8.loss_mask: 0.7549, decode.d8.loss_dice: 1.2228, loss: 30.0133 2022-04-30 01:30:30,578 - mmseg - INFO - Iter [56650/80000] lr: 4.191e-07, eta: 12:01:28, time: 1.798, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7989, decode.loss_mask: 0.7648, decode.loss_dice: 1.2017, decode.d0.loss_cls: 2.5916, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3723, decode.d1.loss_cls: 0.8888, decode.d1.loss_mask: 0.7928, decode.d1.loss_dice: 1.3077, decode.d2.loss_cls: 0.8381, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.2435, decode.d3.loss_cls: 0.8190, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.2232, decode.d4.loss_cls: 0.8150, decode.d4.loss_mask: 0.7692, decode.d4.loss_dice: 1.2159, decode.d5.loss_cls: 0.8172, decode.d5.loss_mask: 0.7651, decode.d5.loss_dice: 1.2052, decode.d6.loss_cls: 0.8091, decode.d6.loss_mask: 0.7607, decode.d6.loss_dice: 1.1967, decode.d7.loss_cls: 0.7994, decode.d7.loss_mask: 0.7655, decode.d7.loss_dice: 1.2009, decode.d8.loss_cls: 0.7988, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.1992, loss: 30.0407 2022-04-30 01:32:01,808 - mmseg - INFO - Iter [56700/80000] lr: 4.182e-07, eta: 11:59:55, time: 1.825, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7716, decode.loss_mask: 0.7499, decode.loss_dice: 1.1497, decode.d0.loss_cls: 2.5768, decode.d0.loss_mask: 0.7644, decode.d0.loss_dice: 1.3275, decode.d1.loss_cls: 0.8687, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2538, decode.d2.loss_cls: 0.8118, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7926, decode.d3.loss_mask: 0.7563, decode.d3.loss_dice: 1.1712, decode.d4.loss_cls: 0.7889, decode.d4.loss_mask: 0.7541, decode.d4.loss_dice: 1.1722, decode.d5.loss_cls: 0.7823, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1583, decode.d6.loss_cls: 0.7716, decode.d6.loss_mask: 0.7496, decode.d6.loss_dice: 1.1560, decode.d7.loss_cls: 0.7784, decode.d7.loss_mask: 0.7536, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7760, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.1504, loss: 29.1954 2022-04-30 01:33:31,825 - mmseg - INFO - Iter [56750/80000] lr: 4.173e-07, eta: 11:58:21, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7950, decode.loss_mask: 0.7825, decode.loss_dice: 1.1957, decode.d0.loss_cls: 2.5672, decode.d0.loss_mask: 0.8048, decode.d0.loss_dice: 1.3733, decode.d1.loss_cls: 0.8853, decode.d1.loss_mask: 0.8192, decode.d1.loss_dice: 1.2931, decode.d2.loss_cls: 0.8302, decode.d2.loss_mask: 0.8031, decode.d2.loss_dice: 1.2422, decode.d3.loss_cls: 0.8051, decode.d3.loss_mask: 0.7935, decode.d3.loss_dice: 1.2113, decode.d4.loss_cls: 0.8099, decode.d4.loss_mask: 0.7916, decode.d4.loss_dice: 1.2093, decode.d5.loss_cls: 0.7936, decode.d5.loss_mask: 0.7930, decode.d5.loss_dice: 1.2036, decode.d6.loss_cls: 0.7871, decode.d6.loss_mask: 0.7878, decode.d6.loss_dice: 1.1946, decode.d7.loss_cls: 0.7858, decode.d7.loss_mask: 0.7879, decode.d7.loss_dice: 1.1966, decode.d8.loss_cls: 0.7912, decode.d8.loss_mask: 0.7866, decode.d8.loss_dice: 1.1989, loss: 30.1189 2022-04-30 01:35:03,260 - mmseg - INFO - Iter [56800/80000] lr: 4.164e-07, eta: 11:56:48, time: 1.829, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8132, decode.loss_mask: 0.7547, decode.loss_dice: 1.1818, decode.d0.loss_cls: 2.5946, decode.d0.loss_mask: 0.7757, decode.d0.loss_dice: 1.3721, decode.d1.loss_cls: 0.9115, decode.d1.loss_mask: 0.7840, decode.d1.loss_dice: 1.2896, decode.d2.loss_cls: 0.8417, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.2335, decode.d3.loss_cls: 0.8295, decode.d3.loss_mask: 0.7617, decode.d3.loss_dice: 1.2039, decode.d4.loss_cls: 0.8189, decode.d4.loss_mask: 0.7638, decode.d4.loss_dice: 1.2023, decode.d5.loss_cls: 0.8154, decode.d5.loss_mask: 0.7632, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.8144, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.1853, decode.d7.loss_cls: 0.8158, decode.d7.loss_mask: 0.7572, decode.d7.loss_dice: 1.1851, decode.d8.loss_cls: 0.8026, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.1899, loss: 29.9412 2022-04-30 01:36:34,573 - mmseg - INFO - Iter [56850/80000] lr: 4.155e-07, eta: 11:55:15, time: 1.826, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7939, decode.loss_mask: 0.7614, decode.loss_dice: 1.1740, decode.d0.loss_cls: 2.5775, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.3488, decode.d1.loss_cls: 0.8835, decode.d1.loss_mask: 0.7924, decode.d1.loss_dice: 1.2706, decode.d2.loss_cls: 0.8320, decode.d2.loss_mask: 0.7766, decode.d2.loss_dice: 1.2203, decode.d3.loss_cls: 0.8146, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.1922, decode.d4.loss_cls: 0.8016, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.1902, decode.d5.loss_cls: 0.7999, decode.d5.loss_mask: 0.7663, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 0.7899, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.1749, decode.d7.loss_cls: 0.7954, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1747, decode.d8.loss_cls: 0.7945, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.1714, loss: 29.6749 2022-04-30 01:38:06,105 - mmseg - INFO - Iter [56900/80000] lr: 4.146e-07, eta: 11:53:41, time: 1.830, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8018, decode.loss_mask: 0.7689, decode.loss_dice: 1.1724, decode.d0.loss_cls: 2.5347, decode.d0.loss_mask: 0.7939, decode.d0.loss_dice: 1.3610, decode.d1.loss_cls: 0.8800, decode.d1.loss_mask: 0.8067, decode.d1.loss_dice: 1.2692, decode.d2.loss_cls: 0.8275, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2192, decode.d3.loss_cls: 0.8193, decode.d3.loss_mask: 0.7805, decode.d3.loss_dice: 1.1912, decode.d4.loss_cls: 0.8092, decode.d4.loss_mask: 0.7810, decode.d4.loss_dice: 1.1953, decode.d5.loss_cls: 0.8122, decode.d5.loss_mask: 0.7760, decode.d5.loss_dice: 1.1804, decode.d6.loss_cls: 0.8018, decode.d6.loss_mask: 0.7718, decode.d6.loss_dice: 1.1720, decode.d7.loss_cls: 0.7954, decode.d7.loss_mask: 0.7753, decode.d7.loss_dice: 1.1802, decode.d8.loss_cls: 0.7955, decode.d8.loss_mask: 0.7742, decode.d8.loss_dice: 1.1766, loss: 29.8126 2022-04-30 01:39:38,808 - mmseg - INFO - Iter [56950/80000] lr: 4.137e-07, eta: 11:52:09, time: 1.852, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7554, decode.loss_mask: 0.7809, decode.loss_dice: 1.1793, decode.d0.loss_cls: 2.5259, decode.d0.loss_mask: 0.8012, decode.d0.loss_dice: 1.3462, decode.d1.loss_cls: 0.8479, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.2778, decode.d2.loss_cls: 0.7915, decode.d2.loss_mask: 0.8034, decode.d2.loss_dice: 1.2362, decode.d3.loss_cls: 0.7696, decode.d3.loss_mask: 0.7957, decode.d3.loss_dice: 1.2024, decode.d4.loss_cls: 0.7646, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 0.7703, decode.d5.loss_mask: 0.7817, decode.d5.loss_dice: 1.1900, decode.d6.loss_cls: 0.7597, decode.d6.loss_mask: 0.7860, decode.d6.loss_dice: 1.1825, decode.d7.loss_cls: 0.7621, decode.d7.loss_mask: 0.7821, decode.d7.loss_dice: 1.1804, decode.d8.loss_cls: 0.7602, decode.d8.loss_mask: 0.7824, decode.d8.loss_dice: 1.1827, loss: 29.6044 2022-04-30 01:41:09,918 - mmseg - INFO - Saving checkpoint at 57000 iterations 2022-04-30 01:41:41,697 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 01:41:41,709 - mmseg - INFO - Iter [57000/80000] lr: 4.128e-07, eta: 11:50:48, time: 2.456, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7625, decode.loss_mask: 0.7845, decode.loss_dice: 1.1584, decode.d0.loss_cls: 2.5198, decode.d0.loss_mask: 0.7952, decode.d0.loss_dice: 1.3378, decode.d1.loss_cls: 0.8488, decode.d1.loss_mask: 0.8140, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7919, decode.d2.loss_mask: 0.7975, decode.d2.loss_dice: 1.2070, decode.d3.loss_cls: 0.7843, decode.d3.loss_mask: 0.7863, decode.d3.loss_dice: 1.1733, decode.d4.loss_cls: 0.7784, decode.d4.loss_mask: 0.7877, decode.d4.loss_dice: 1.1737, decode.d5.loss_cls: 0.7738, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.1664, decode.d6.loss_cls: 0.7664, decode.d6.loss_mask: 0.7872, decode.d6.loss_dice: 1.1566, decode.d7.loss_cls: 0.7659, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.1536, decode.d8.loss_cls: 0.7665, decode.d8.loss_mask: 0.7880, decode.d8.loss_dice: 1.1603, loss: 29.4149 2022-04-30 01:43:14,798 - mmseg - INFO - Iter [57050/80000] lr: 4.119e-07, eta: 11:49:16, time: 1.866, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7678, decode.loss_mask: 0.7564, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5591, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3575, decode.d1.loss_cls: 0.8595, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.2737, decode.d2.loss_cls: 0.8144, decode.d2.loss_mask: 0.7692, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 0.7900, decode.d3.loss_mask: 0.7629, decode.d3.loss_dice: 1.1948, decode.d4.loss_cls: 0.7778, decode.d4.loss_mask: 0.7630, decode.d4.loss_dice: 1.1941, decode.d5.loss_cls: 0.7801, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.1894, decode.d6.loss_cls: 0.7644, decode.d6.loss_mask: 0.7579, decode.d6.loss_dice: 1.1756, decode.d7.loss_cls: 0.7613, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.1764, decode.d8.loss_cls: 0.7627, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.1761, loss: 29.4109 2022-04-30 01:44:46,517 - mmseg - INFO - Iter [57100/80000] lr: 4.110e-07, eta: 11:47:43, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7534, decode.loss_mask: 0.7573, decode.loss_dice: 1.1833, decode.d0.loss_cls: 2.5390, decode.d0.loss_mask: 0.7663, decode.d0.loss_dice: 1.3453, decode.d1.loss_cls: 0.8415, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2811, decode.d2.loss_cls: 0.7850, decode.d2.loss_mask: 0.7786, decode.d2.loss_dice: 1.2169, decode.d3.loss_cls: 0.7771, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.1968, decode.d4.loss_cls: 0.7659, decode.d4.loss_mask: 0.7677, decode.d4.loss_dice: 1.1988, decode.d5.loss_cls: 0.7617, decode.d5.loss_mask: 0.7633, decode.d5.loss_dice: 1.1938, decode.d6.loss_cls: 0.7599, decode.d6.loss_mask: 0.7596, decode.d6.loss_dice: 1.1874, decode.d7.loss_cls: 0.7545, decode.d7.loss_mask: 0.7607, decode.d7.loss_dice: 1.1849, decode.d8.loss_cls: 0.7524, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1821, loss: 29.3321 2022-04-30 01:46:17,458 - mmseg - INFO - Iter [57150/80000] lr: 4.101e-07, eta: 11:46:09, time: 1.819, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7571, decode.loss_mask: 0.7632, decode.loss_dice: 1.1453, decode.d0.loss_cls: 2.5103, decode.d0.loss_mask: 0.7643, decode.d0.loss_dice: 1.3037, decode.d1.loss_cls: 0.8426, decode.d1.loss_mask: 0.7999, decode.d1.loss_dice: 1.2465, decode.d2.loss_cls: 0.7908, decode.d2.loss_mask: 0.7854, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7834, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1658, decode.d4.loss_cls: 0.7710, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.1668, decode.d5.loss_cls: 0.7671, decode.d5.loss_mask: 0.7632, decode.d5.loss_dice: 1.1604, decode.d6.loss_cls: 0.7636, decode.d6.loss_mask: 0.7584, decode.d6.loss_dice: 1.1490, decode.d7.loss_cls: 0.7621, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.1435, decode.d8.loss_cls: 0.7527, decode.d8.loss_mask: 0.7606, decode.d8.loss_dice: 1.1438, loss: 29.0106 2022-04-30 01:47:48,252 - mmseg - INFO - Iter [57200/80000] lr: 4.092e-07, eta: 11:44:36, time: 1.817, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8010, decode.loss_mask: 0.7643, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.5895, decode.d0.loss_mask: 0.7803, decode.d0.loss_dice: 1.3768, decode.d1.loss_cls: 0.8985, decode.d1.loss_mask: 0.8003, decode.d1.loss_dice: 1.2878, decode.d2.loss_cls: 0.8426, decode.d2.loss_mask: 0.7734, decode.d2.loss_dice: 1.2361, decode.d3.loss_cls: 0.8208, decode.d3.loss_mask: 0.7764, decode.d3.loss_dice: 1.2098, decode.d4.loss_cls: 0.8110, decode.d4.loss_mask: 0.7719, decode.d4.loss_dice: 1.2162, decode.d5.loss_cls: 0.8123, decode.d5.loss_mask: 0.7699, decode.d5.loss_dice: 1.2011, decode.d6.loss_cls: 0.8087, decode.d6.loss_mask: 0.7645, decode.d6.loss_dice: 1.1925, decode.d7.loss_cls: 0.7969, decode.d7.loss_mask: 0.7685, decode.d7.loss_dice: 1.1914, decode.d8.loss_cls: 0.7947, decode.d8.loss_mask: 0.7700, decode.d8.loss_dice: 1.1945, loss: 30.0092 2022-04-30 01:49:21,687 - mmseg - INFO - Iter [57250/80000] lr: 4.083e-07, eta: 11:43:03, time: 1.869, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7864, decode.loss_mask: 0.7576, decode.loss_dice: 1.1632, decode.d0.loss_cls: 2.5796, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.3452, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.7943, decode.d1.loss_dice: 1.2743, decode.d2.loss_cls: 0.8028, decode.d2.loss_mask: 0.7807, decode.d2.loss_dice: 1.2205, decode.d3.loss_cls: 0.7965, decode.d3.loss_mask: 0.7704, decode.d3.loss_dice: 1.1851, decode.d4.loss_cls: 0.7819, decode.d4.loss_mask: 0.7683, decode.d4.loss_dice: 1.1877, decode.d5.loss_cls: 0.7837, decode.d5.loss_mask: 0.7652, decode.d5.loss_dice: 1.1728, decode.d6.loss_cls: 0.7905, decode.d6.loss_mask: 0.7607, decode.d6.loss_dice: 1.1637, decode.d7.loss_cls: 0.7782, decode.d7.loss_mask: 0.7605, decode.d7.loss_dice: 1.1671, decode.d8.loss_cls: 0.7781, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.1716, loss: 29.4912 2022-04-30 01:50:53,328 - mmseg - INFO - Iter [57300/80000] lr: 4.074e-07, eta: 11:41:30, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7779, decode.loss_mask: 0.7590, decode.loss_dice: 1.1549, decode.d0.loss_cls: 2.5615, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3308, decode.d1.loss_cls: 0.8674, decode.d1.loss_mask: 0.7921, decode.d1.loss_dice: 1.2639, decode.d2.loss_cls: 0.8142, decode.d2.loss_mask: 0.7720, decode.d2.loss_dice: 1.1984, decode.d3.loss_cls: 0.7968, decode.d3.loss_mask: 0.7617, decode.d3.loss_dice: 1.1682, decode.d4.loss_cls: 0.7846, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1653, decode.d5.loss_cls: 0.7827, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1631, decode.d6.loss_cls: 0.7838, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.1470, decode.d7.loss_cls: 0.7748, decode.d7.loss_mask: 0.7606, decode.d7.loss_dice: 1.1544, decode.d8.loss_cls: 0.7750, decode.d8.loss_mask: 0.7576, decode.d8.loss_dice: 1.1590, loss: 29.2717 2022-04-30 01:52:23,813 - mmseg - INFO - Iter [57350/80000] lr: 4.065e-07, eta: 11:39:57, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7726, decode.loss_mask: 0.7586, decode.loss_dice: 1.1711, decode.d0.loss_cls: 2.5464, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3334, decode.d1.loss_cls: 0.8702, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.2681, decode.d2.loss_cls: 0.8108, decode.d2.loss_mask: 0.7747, decode.d2.loss_dice: 1.2157, decode.d3.loss_cls: 0.7954, decode.d3.loss_mask: 0.7729, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7675, decode.d4.loss_dice: 1.1913, decode.d5.loss_cls: 0.7764, decode.d5.loss_mask: 0.7666, decode.d5.loss_dice: 1.1902, decode.d6.loss_cls: 0.7716, decode.d6.loss_mask: 0.7615, decode.d6.loss_dice: 1.1727, decode.d7.loss_cls: 0.7682, decode.d7.loss_mask: 0.7651, decode.d7.loss_dice: 1.1822, decode.d8.loss_cls: 0.7667, decode.d8.loss_mask: 0.7624, decode.d8.loss_dice: 1.1778, loss: 29.4467 2022-04-30 01:53:55,473 - mmseg - INFO - Iter [57400/80000] lr: 4.056e-07, eta: 11:38:23, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7691, decode.loss_mask: 0.7819, decode.loss_dice: 1.1874, decode.d0.loss_cls: 2.5236, decode.d0.loss_mask: 0.7957, decode.d0.loss_dice: 1.3526, decode.d1.loss_cls: 0.8421, decode.d1.loss_mask: 0.8171, decode.d1.loss_dice: 1.2860, decode.d2.loss_cls: 0.7844, decode.d2.loss_mask: 0.8018, decode.d2.loss_dice: 1.2346, decode.d3.loss_cls: 0.7809, decode.d3.loss_mask: 0.7925, decode.d3.loss_dice: 1.2130, decode.d4.loss_cls: 0.7713, decode.d4.loss_mask: 0.7906, decode.d4.loss_dice: 1.2087, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7878, decode.d5.loss_dice: 1.2074, decode.d6.loss_cls: 0.7632, decode.d6.loss_mask: 0.7863, decode.d6.loss_dice: 1.1910, decode.d7.loss_cls: 0.7662, decode.d7.loss_mask: 0.7860, decode.d7.loss_dice: 1.1998, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7797, decode.d8.loss_dice: 1.1877, loss: 29.7265 2022-04-30 01:55:27,680 - mmseg - INFO - Iter [57450/80000] lr: 4.047e-07, eta: 11:36:51, time: 1.844, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8145, decode.loss_mask: 0.7538, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.5841, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.3600, decode.d1.loss_cls: 0.9027, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2751, decode.d2.loss_cls: 0.8473, decode.d2.loss_mask: 0.7758, decode.d2.loss_dice: 1.2279, decode.d3.loss_cls: 0.8256, decode.d3.loss_mask: 0.7623, decode.d3.loss_dice: 1.1976, decode.d4.loss_cls: 0.8206, decode.d4.loss_mask: 0.7601, decode.d4.loss_dice: 1.1942, decode.d5.loss_cls: 0.8223, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1825, decode.d6.loss_cls: 0.8125, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.1689, decode.d7.loss_cls: 0.8161, decode.d7.loss_mask: 0.7522, decode.d7.loss_dice: 1.1741, decode.d8.loss_cls: 0.8128, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1751, loss: 29.8087 2022-04-30 01:56:59,309 - mmseg - INFO - Iter [57500/80000] lr: 4.038e-07, eta: 11:35:17, time: 1.831, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7853, decode.loss_mask: 0.7582, decode.loss_dice: 1.1801, decode.d0.loss_cls: 2.5602, decode.d0.loss_mask: 0.7652, decode.d0.loss_dice: 1.3542, decode.d1.loss_cls: 0.8701, decode.d1.loss_mask: 0.7847, decode.d1.loss_dice: 1.2639, decode.d2.loss_cls: 0.8200, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.2184, decode.d3.loss_cls: 0.8046, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.1942, decode.d4.loss_cls: 0.7963, decode.d4.loss_mask: 0.7631, decode.d4.loss_dice: 1.1889, decode.d5.loss_cls: 0.7954, decode.d5.loss_mask: 0.7630, decode.d5.loss_dice: 1.1810, decode.d6.loss_cls: 0.7823, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.1777, decode.d7.loss_cls: 0.7809, decode.d7.loss_mask: 0.7642, decode.d7.loss_dice: 1.1762, decode.d8.loss_cls: 0.7781, decode.d8.loss_mask: 0.7575, decode.d8.loss_dice: 1.1753, loss: 29.5347 2022-04-30 01:58:29,659 - mmseg - INFO - Iter [57550/80000] lr: 4.029e-07, eta: 11:33:44, time: 1.809, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8019, decode.loss_mask: 0.7526, decode.loss_dice: 1.1689, decode.d0.loss_cls: 2.5832, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3561, decode.d1.loss_cls: 0.8869, decode.d1.loss_mask: 0.7933, decode.d1.loss_dice: 1.2782, decode.d2.loss_cls: 0.8285, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2217, decode.d3.loss_cls: 0.8115, decode.d3.loss_mask: 0.7678, decode.d3.loss_dice: 1.1953, decode.d4.loss_cls: 0.8082, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1952, decode.d5.loss_cls: 0.8035, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.1860, decode.d6.loss_cls: 0.8017, decode.d6.loss_mask: 0.7497, decode.d6.loss_dice: 1.1780, decode.d7.loss_cls: 0.7956, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1723, decode.d8.loss_cls: 0.7991, decode.d8.loss_mask: 0.7532, decode.d8.loss_dice: 1.1750, loss: 29.6843 2022-04-30 02:00:01,171 - mmseg - INFO - Iter [57600/80000] lr: 4.020e-07, eta: 11:32:11, time: 1.830, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8010, decode.loss_mask: 0.7628, decode.loss_dice: 1.1942, decode.d0.loss_cls: 2.6277, decode.d0.loss_mask: 0.7753, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 0.8991, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.2926, decode.d2.loss_cls: 0.8269, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.2405, decode.d3.loss_cls: 0.8165, decode.d3.loss_mask: 0.7720, decode.d3.loss_dice: 1.2171, decode.d4.loss_cls: 0.8082, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.2150, decode.d5.loss_cls: 0.8036, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.2031, decode.d6.loss_cls: 0.8015, decode.d6.loss_mask: 0.7579, decode.d6.loss_dice: 1.1953, decode.d7.loss_cls: 0.7947, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.2039, decode.d8.loss_cls: 0.8032, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1923, loss: 29.9974 2022-04-30 02:01:35,363 - mmseg - INFO - Iter [57650/80000] lr: 4.011e-07, eta: 11:30:38, time: 1.883, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8176, decode.loss_mask: 0.7836, decode.loss_dice: 1.1896, decode.d0.loss_cls: 2.5957, decode.d0.loss_mask: 0.7954, decode.d0.loss_dice: 1.3781, decode.d1.loss_cls: 0.8977, decode.d1.loss_mask: 0.8114, decode.d1.loss_dice: 1.2858, decode.d2.loss_cls: 0.8465, decode.d2.loss_mask: 0.7942, decode.d2.loss_dice: 1.2294, decode.d3.loss_cls: 0.8279, decode.d3.loss_mask: 0.7925, decode.d3.loss_dice: 1.2126, decode.d4.loss_cls: 0.8162, decode.d4.loss_mask: 0.7912, decode.d4.loss_dice: 1.2142, decode.d5.loss_cls: 0.8185, decode.d5.loss_mask: 0.7842, decode.d5.loss_dice: 1.2025, decode.d6.loss_cls: 0.8155, decode.d6.loss_mask: 0.7806, decode.d6.loss_dice: 1.1909, decode.d7.loss_cls: 0.8092, decode.d7.loss_mask: 0.7834, decode.d7.loss_dice: 1.1964, decode.d8.loss_cls: 0.8156, decode.d8.loss_mask: 0.7832, decode.d8.loss_dice: 1.1946, loss: 30.2543 2022-04-30 02:03:07,328 - mmseg - INFO - Iter [57700/80000] lr: 4.002e-07, eta: 11:29:06, time: 1.840, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7955, decode.loss_mask: 0.7696, decode.loss_dice: 1.1562, decode.d0.loss_cls: 2.5962, decode.d0.loss_mask: 0.7800, decode.d0.loss_dice: 1.3381, decode.d1.loss_cls: 0.8818, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2553, decode.d2.loss_cls: 0.8325, decode.d2.loss_mask: 0.7837, decode.d2.loss_dice: 1.2118, decode.d3.loss_cls: 0.8262, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.1854, decode.d4.loss_cls: 0.8097, decode.d4.loss_mask: 0.7772, decode.d4.loss_dice: 1.1803, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7709, decode.d5.loss_dice: 1.1764, decode.d6.loss_cls: 0.7999, decode.d6.loss_mask: 0.7698, decode.d6.loss_dice: 1.1627, decode.d7.loss_cls: 0.7994, decode.d7.loss_mask: 0.7691, decode.d7.loss_dice: 1.1596, decode.d8.loss_cls: 0.7940, decode.d8.loss_mask: 0.7699, decode.d8.loss_dice: 1.1550, loss: 29.6898 2022-04-30 02:04:37,781 - mmseg - INFO - Iter [57750/80000] lr: 3.993e-07, eta: 11:27:32, time: 1.809, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7742, decode.loss_mask: 0.7436, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.5533, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.3513, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.7828, decode.d1.loss_dice: 1.2704, decode.d2.loss_cls: 0.7961, decode.d2.loss_mask: 0.7644, decode.d2.loss_dice: 1.2165, decode.d3.loss_cls: 0.7852, decode.d3.loss_mask: 0.7579, decode.d3.loss_dice: 1.1883, decode.d4.loss_cls: 0.7772, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.1872, decode.d5.loss_cls: 0.7747, decode.d5.loss_mask: 0.7511, decode.d5.loss_dice: 1.1794, decode.d6.loss_cls: 0.7688, decode.d6.loss_mask: 0.7462, decode.d6.loss_dice: 1.1687, decode.d7.loss_cls: 0.7665, decode.d7.loss_mask: 0.7468, decode.d7.loss_dice: 1.1796, decode.d8.loss_cls: 0.7725, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1712, loss: 29.2577 2022-04-30 02:06:08,672 - mmseg - INFO - Iter [57800/80000] lr: 3.985e-07, eta: 11:25:59, time: 1.818, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7925, decode.loss_mask: 0.7703, decode.loss_dice: 1.2001, decode.d0.loss_cls: 2.5817, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.3751, decode.d1.loss_cls: 0.8832, decode.d1.loss_mask: 0.8032, decode.d1.loss_dice: 1.2985, decode.d2.loss_cls: 0.8293, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.2400, decode.d3.loss_cls: 0.8076, decode.d3.loss_mask: 0.7783, decode.d3.loss_dice: 1.2178, decode.d4.loss_cls: 0.7958, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.2148, decode.d6.loss_cls: 0.7951, decode.d6.loss_mask: 0.7705, decode.d6.loss_dice: 1.2043, decode.d7.loss_cls: 0.7909, decode.d7.loss_mask: 0.7717, decode.d7.loss_dice: 1.2027, decode.d8.loss_cls: 0.7844, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.2006, loss: 30.0101 2022-04-30 02:07:40,367 - mmseg - INFO - Iter [57850/80000] lr: 3.976e-07, eta: 11:24:25, time: 1.832, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7822, decode.loss_mask: 0.7460, decode.loss_dice: 1.1580, decode.d0.loss_cls: 2.5498, decode.d0.loss_mask: 0.7729, decode.d0.loss_dice: 1.3405, decode.d1.loss_cls: 0.8741, decode.d1.loss_mask: 0.7843, decode.d1.loss_dice: 1.2506, decode.d2.loss_cls: 0.8210, decode.d2.loss_mask: 0.7636, decode.d2.loss_dice: 1.1991, decode.d3.loss_cls: 0.8025, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1688, decode.d4.loss_cls: 0.7960, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.1712, decode.d5.loss_cls: 0.7881, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1722, decode.d6.loss_cls: 0.7892, decode.d6.loss_mask: 0.7470, decode.d6.loss_dice: 1.1602, decode.d7.loss_cls: 0.7839, decode.d7.loss_mask: 0.7482, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 0.7829, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1618, loss: 29.2869 2022-04-30 02:09:11,459 - mmseg - INFO - Iter [57900/80000] lr: 3.967e-07, eta: 11:22:52, time: 1.823, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7524, decode.loss_mask: 0.7723, decode.loss_dice: 1.1589, decode.d0.loss_cls: 2.4916, decode.d0.loss_mask: 0.7746, decode.d0.loss_dice: 1.3445, decode.d1.loss_cls: 0.8400, decode.d1.loss_mask: 0.8025, decode.d1.loss_dice: 1.2652, decode.d2.loss_cls: 0.7951, decode.d2.loss_mask: 0.7843, decode.d2.loss_dice: 1.2062, decode.d3.loss_cls: 0.7734, decode.d3.loss_mask: 0.7773, decode.d3.loss_dice: 1.1812, decode.d4.loss_cls: 0.7698, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.1790, decode.d5.loss_cls: 0.7603, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.1750, decode.d6.loss_cls: 0.7614, decode.d6.loss_mask: 0.7741, decode.d6.loss_dice: 1.1680, decode.d7.loss_cls: 0.7591, decode.d7.loss_mask: 0.7687, decode.d7.loss_dice: 1.1625, decode.d8.loss_cls: 0.7519, decode.d8.loss_mask: 0.7736, decode.d8.loss_dice: 1.1590, loss: 29.2266 2022-04-30 02:10:41,509 - mmseg - INFO - Iter [57950/80000] lr: 3.958e-07, eta: 11:21:18, time: 1.800, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7928, decode.loss_mask: 0.7308, decode.loss_dice: 1.1667, decode.d0.loss_cls: 2.5936, decode.d0.loss_mask: 0.7468, decode.d0.loss_dice: 1.3509, decode.d1.loss_cls: 0.8752, decode.d1.loss_mask: 0.7663, decode.d1.loss_dice: 1.2693, decode.d2.loss_cls: 0.8229, decode.d2.loss_mask: 0.7551, decode.d2.loss_dice: 1.2113, decode.d3.loss_cls: 0.8015, decode.d3.loss_mask: 0.7502, decode.d3.loss_dice: 1.1849, decode.d4.loss_cls: 0.8027, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7954, decode.d5.loss_mask: 0.7447, decode.d5.loss_dice: 1.1704, decode.d6.loss_cls: 0.7919, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.1695, decode.d7.loss_cls: 0.7969, decode.d7.loss_mask: 0.7348, decode.d7.loss_dice: 1.1678, decode.d8.loss_cls: 0.7924, decode.d8.loss_mask: 0.7328, decode.d8.loss_dice: 1.1695, loss: 29.3481 2022-04-30 02:12:13,050 - mmseg - INFO - Saving checkpoint at 58000 iterations 2022-04-30 02:12:42,004 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 02:12:42,017 - mmseg - INFO - Iter [58000/80000] lr: 3.949e-07, eta: 11:19:56, time: 2.406, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7880, decode.loss_mask: 0.7737, decode.loss_dice: 1.1808, decode.d0.loss_cls: 2.5951, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.3558, decode.d1.loss_cls: 0.8863, decode.d1.loss_mask: 0.8086, decode.d1.loss_dice: 1.2782, decode.d2.loss_cls: 0.8161, decode.d2.loss_mask: 0.7908, decode.d2.loss_dice: 1.2289, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7819, decode.d3.loss_dice: 1.2045, decode.d4.loss_cls: 0.8032, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.2013, decode.d5.loss_cls: 0.7993, decode.d5.loss_mask: 0.7750, decode.d5.loss_dice: 1.1884, decode.d6.loss_cls: 0.7872, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.1836, decode.d7.loss_cls: 0.7833, decode.d7.loss_mask: 0.7732, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 0.7788, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.1875, loss: 29.8410 2022-04-30 02:14:15,990 - mmseg - INFO - Iter [58050/80000] lr: 3.940e-07, eta: 11:18:24, time: 1.885, data_time: 0.020, memory: 64979, decode.loss_cls: 0.7756, decode.loss_mask: 0.7489, decode.loss_dice: 1.1702, decode.d0.loss_cls: 2.5395, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.3509, decode.d1.loss_cls: 0.8639, decode.d1.loss_mask: 0.7767, decode.d1.loss_dice: 1.2725, decode.d2.loss_cls: 0.8119, decode.d2.loss_mask: 0.7582, decode.d2.loss_dice: 1.2186, decode.d3.loss_cls: 0.7929, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1960, decode.d4.loss_cls: 0.7875, decode.d4.loss_mask: 0.7525, decode.d4.loss_dice: 1.1896, decode.d5.loss_cls: 0.7821, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.1809, decode.d6.loss_cls: 0.7762, decode.d6.loss_mask: 0.7463, decode.d6.loss_dice: 1.1707, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1727, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1713, loss: 29.3128 2022-04-30 02:15:47,031 - mmseg - INFO - Iter [58100/80000] lr: 3.931e-07, eta: 11:16:51, time: 1.821, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7726, decode.loss_mask: 0.7547, decode.loss_dice: 1.1581, decode.d0.loss_cls: 2.5293, decode.d0.loss_mask: 0.7599, decode.d0.loss_dice: 1.3294, decode.d1.loss_cls: 0.8571, decode.d1.loss_mask: 0.7868, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 0.7969, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.1953, decode.d3.loss_cls: 0.7870, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.1763, decode.d4.loss_cls: 0.7794, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.1767, decode.d5.loss_cls: 0.7801, decode.d5.loss_mask: 0.7589, decode.d5.loss_dice: 1.1673, decode.d6.loss_cls: 0.7699, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1660, decode.d7.loss_cls: 0.7694, decode.d7.loss_mask: 0.7549, decode.d7.loss_dice: 1.1612, decode.d8.loss_cls: 0.7700, decode.d8.loss_mask: 0.7571, decode.d8.loss_dice: 1.1634, loss: 29.1669 2022-04-30 02:17:17,790 - mmseg - INFO - Iter [58150/80000] lr: 3.922e-07, eta: 11:15:17, time: 1.815, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7696, decode.loss_mask: 0.7397, decode.loss_dice: 1.1697, decode.d0.loss_cls: 2.5135, decode.d0.loss_mask: 0.7467, decode.d0.loss_dice: 1.3461, decode.d1.loss_cls: 0.8508, decode.d1.loss_mask: 0.7783, decode.d1.loss_dice: 1.2658, decode.d2.loss_cls: 0.7996, decode.d2.loss_mask: 0.7576, decode.d2.loss_dice: 1.2127, decode.d3.loss_cls: 0.7823, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1957, decode.d4.loss_cls: 0.7761, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.1943, decode.d5.loss_cls: 0.7695, decode.d5.loss_mask: 0.7533, decode.d5.loss_dice: 1.1865, decode.d6.loss_cls: 0.7675, decode.d6.loss_mask: 0.7435, decode.d6.loss_dice: 1.1727, decode.d7.loss_cls: 0.7661, decode.d7.loss_mask: 0.7452, decode.d7.loss_dice: 1.1779, decode.d8.loss_cls: 0.7654, decode.d8.loss_mask: 0.7421, decode.d8.loss_dice: 1.1767, loss: 29.1616 2022-04-30 02:18:48,053 - mmseg - INFO - Iter [58200/80000] lr: 3.913e-07, eta: 11:13:44, time: 1.805, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7770, decode.loss_mask: 0.7465, decode.loss_dice: 1.1456, decode.d0.loss_cls: 2.5174, decode.d0.loss_mask: 0.7475, decode.d0.loss_dice: 1.3143, decode.d1.loss_cls: 0.8615, decode.d1.loss_mask: 0.7693, decode.d1.loss_dice: 1.2398, decode.d2.loss_cls: 0.8079, decode.d2.loss_mask: 0.7582, decode.d2.loss_dice: 1.1914, decode.d3.loss_cls: 0.7994, decode.d3.loss_mask: 0.7499, decode.d3.loss_dice: 1.1652, decode.d4.loss_cls: 0.7938, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1608, decode.d5.loss_cls: 0.7907, decode.d5.loss_mask: 0.7436, decode.d5.loss_dice: 1.1492, decode.d6.loss_cls: 0.7887, decode.d6.loss_mask: 0.7421, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7452, decode.d7.loss_dice: 1.1462, decode.d8.loss_cls: 0.7807, decode.d8.loss_mask: 0.7440, decode.d8.loss_dice: 1.1430, loss: 28.9977 2022-04-30 02:20:18,467 - mmseg - INFO - Iter [58250/80000] lr: 3.904e-07, eta: 11:12:10, time: 1.808, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7943, decode.loss_mask: 0.7446, decode.loss_dice: 1.1659, decode.d0.loss_cls: 2.5674, decode.d0.loss_mask: 0.7722, decode.d0.loss_dice: 1.3389, decode.d1.loss_cls: 0.8730, decode.d1.loss_mask: 0.7920, decode.d1.loss_dice: 1.2703, decode.d2.loss_cls: 0.8232, decode.d2.loss_mask: 0.7739, decode.d2.loss_dice: 1.2174, decode.d3.loss_cls: 0.8078, decode.d3.loss_mask: 0.7691, decode.d3.loss_dice: 1.1864, decode.d4.loss_cls: 0.7991, decode.d4.loss_mask: 0.7628, decode.d4.loss_dice: 1.1822, decode.d5.loss_cls: 0.7998, decode.d5.loss_mask: 0.7533, decode.d5.loss_dice: 1.1701, decode.d6.loss_cls: 0.7970, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.1583, decode.d7.loss_cls: 0.7955, decode.d7.loss_mask: 0.7457, decode.d7.loss_dice: 1.1597, decode.d8.loss_cls: 0.7912, decode.d8.loss_mask: 0.7471, decode.d8.loss_dice: 1.1598, loss: 29.4669 2022-04-30 02:21:48,883 - mmseg - INFO - Iter [58300/80000] lr: 3.895e-07, eta: 11:10:36, time: 1.808, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7407, decode.loss_mask: 0.7687, decode.loss_dice: 1.1669, decode.d0.loss_cls: 2.4513, decode.d0.loss_mask: 0.7785, decode.d0.loss_dice: 1.3269, decode.d1.loss_cls: 0.8309, decode.d1.loss_mask: 0.7981, decode.d1.loss_dice: 1.2496, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.2089, decode.d3.loss_cls: 0.7617, decode.d3.loss_mask: 0.7791, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 0.7584, decode.d4.loss_mask: 0.7700, decode.d4.loss_dice: 1.1828, decode.d5.loss_cls: 0.7481, decode.d5.loss_mask: 0.7746, decode.d5.loss_dice: 1.1802, decode.d6.loss_cls: 0.7494, decode.d6.loss_mask: 0.7724, decode.d6.loss_dice: 1.1630, decode.d7.loss_cls: 0.7411, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.1625, decode.d8.loss_cls: 0.7422, decode.d8.loss_mask: 0.7661, decode.d8.loss_dice: 1.1630, loss: 29.0541 2022-04-30 02:23:19,870 - mmseg - INFO - Iter [58350/80000] lr: 3.886e-07, eta: 11:09:03, time: 1.817, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8061, decode.loss_mask: 0.7566, decode.loss_dice: 1.1859, decode.d0.loss_cls: 2.6061, decode.d0.loss_mask: 0.7633, decode.d0.loss_dice: 1.3545, decode.d1.loss_cls: 0.8859, decode.d1.loss_mask: 0.7908, decode.d1.loss_dice: 1.2766, decode.d2.loss_cls: 0.8343, decode.d2.loss_mask: 0.7743, decode.d2.loss_dice: 1.2314, decode.d3.loss_cls: 0.8160, decode.d3.loss_mask: 0.7658, decode.d3.loss_dice: 1.2037, decode.d4.loss_cls: 0.8097, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.2017, decode.d5.loss_cls: 0.8092, decode.d5.loss_mask: 0.7580, decode.d5.loss_dice: 1.1987, decode.d6.loss_cls: 0.8087, decode.d6.loss_mask: 0.7573, decode.d6.loss_dice: 1.1923, decode.d7.loss_cls: 0.8077, decode.d7.loss_mask: 0.7543, decode.d7.loss_dice: 1.1853, decode.d8.loss_cls: 0.8011, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.1900, loss: 29.8443 2022-04-30 02:24:53,128 - mmseg - INFO - Iter [58400/80000] lr: 3.877e-07, eta: 11:07:31, time: 1.866, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7864, decode.loss_mask: 0.7454, decode.loss_dice: 1.1748, decode.d0.loss_cls: 2.5484, decode.d0.loss_mask: 0.7694, decode.d0.loss_dice: 1.3612, decode.d1.loss_cls: 0.8803, decode.d1.loss_mask: 0.7855, decode.d1.loss_dice: 1.2761, decode.d2.loss_cls: 0.8270, decode.d2.loss_mask: 0.7618, decode.d2.loss_dice: 1.2234, decode.d3.loss_cls: 0.8110, decode.d3.loss_mask: 0.7544, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.8021, decode.d4.loss_mask: 0.7527, decode.d4.loss_dice: 1.1937, decode.d5.loss_cls: 0.7972, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1936, decode.d6.loss_cls: 0.7932, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.1818, decode.d7.loss_cls: 0.7927, decode.d7.loss_mask: 0.7429, decode.d7.loss_dice: 1.1784, decode.d8.loss_cls: 0.7878, decode.d8.loss_mask: 0.7473, decode.d8.loss_dice: 1.1802, loss: 29.5438 2022-04-30 02:26:25,232 - mmseg - INFO - Iter [58450/80000] lr: 3.868e-07, eta: 11:05:58, time: 1.844, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7989, decode.loss_mask: 0.7680, decode.loss_dice: 1.1871, decode.d0.loss_cls: 2.5919, decode.d0.loss_mask: 0.7738, decode.d0.loss_dice: 1.3689, decode.d1.loss_cls: 0.8824, decode.d1.loss_mask: 0.8010, decode.d1.loss_dice: 1.2871, decode.d2.loss_cls: 0.8303, decode.d2.loss_mask: 0.7786, decode.d2.loss_dice: 1.2350, decode.d3.loss_cls: 0.8100, decode.d3.loss_mask: 0.7743, decode.d3.loss_dice: 1.2123, decode.d4.loss_cls: 0.8060, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.2033, decode.d5.loss_cls: 0.8035, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.2003, decode.d6.loss_cls: 0.7962, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.1895, decode.d7.loss_cls: 0.8001, decode.d7.loss_mask: 0.7705, decode.d7.loss_dice: 1.1834, decode.d8.loss_cls: 0.7963, decode.d8.loss_mask: 0.7664, decode.d8.loss_dice: 1.1879, loss: 29.9113 2022-04-30 02:27:57,551 - mmseg - INFO - Iter [58500/80000] lr: 3.859e-07, eta: 11:04:25, time: 1.846, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7972, decode.loss_mask: 0.7581, decode.loss_dice: 1.1948, decode.d0.loss_cls: 2.5793, decode.d0.loss_mask: 0.7607, decode.d0.loss_dice: 1.3716, decode.d1.loss_cls: 0.8949, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8276, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2384, decode.d3.loss_cls: 0.8222, decode.d3.loss_mask: 0.7635, decode.d3.loss_dice: 1.2088, decode.d4.loss_cls: 0.8079, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.2095, decode.d5.loss_cls: 0.8130, decode.d5.loss_mask: 0.7586, decode.d5.loss_dice: 1.2058, decode.d6.loss_cls: 0.8021, decode.d6.loss_mask: 0.7539, decode.d6.loss_dice: 1.2003, decode.d7.loss_cls: 0.7979, decode.d7.loss_mask: 0.7615, decode.d7.loss_dice: 1.2014, decode.d8.loss_cls: 0.7981, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1940, loss: 29.8726 2022-04-30 02:29:28,313 - mmseg - INFO - Iter [58550/80000] lr: 3.850e-07, eta: 11:02:51, time: 1.816, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7705, decode.loss_mask: 0.7502, decode.loss_dice: 1.1593, decode.d0.loss_cls: 2.5523, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 0.8554, decode.d1.loss_mask: 0.7857, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.8030, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2074, decode.d3.loss_cls: 0.7949, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.1743, decode.d4.loss_cls: 0.7861, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.1794, decode.d5.loss_cls: 0.7849, decode.d5.loss_mask: 0.7549, decode.d5.loss_dice: 1.1694, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7528, decode.d6.loss_dice: 1.1614, decode.d7.loss_cls: 0.7776, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1615, decode.d8.loss_cls: 0.7775, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.1590, loss: 29.2511 2022-04-30 02:31:00,019 - mmseg - INFO - Iter [58600/80000] lr: 3.841e-07, eta: 11:01:18, time: 1.834, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8044, decode.loss_mask: 0.7609, decode.loss_dice: 1.2093, decode.d0.loss_cls: 2.5955, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3833, decode.d1.loss_cls: 0.8945, decode.d1.loss_mask: 0.7973, decode.d1.loss_dice: 1.3087, decode.d2.loss_cls: 0.8433, decode.d2.loss_mask: 0.7761, decode.d2.loss_dice: 1.2509, decode.d3.loss_cls: 0.8303, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.2250, decode.d4.loss_cls: 0.8268, decode.d4.loss_mask: 0.7596, decode.d4.loss_dice: 1.2183, decode.d5.loss_cls: 0.8173, decode.d5.loss_mask: 0.7614, decode.d5.loss_dice: 1.2182, decode.d6.loss_cls: 0.8095, decode.d6.loss_mask: 0.7584, decode.d6.loss_dice: 1.2153, decode.d7.loss_cls: 0.8080, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.2139, decode.d8.loss_cls: 0.8043, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.2077, loss: 30.1552 2022-04-30 02:32:30,533 - mmseg - INFO - Iter [58650/80000] lr: 3.832e-07, eta: 10:59:45, time: 1.810, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7731, decode.loss_mask: 0.7649, decode.loss_dice: 1.1640, decode.d0.loss_cls: 2.5393, decode.d0.loss_mask: 0.7721, decode.d0.loss_dice: 1.3382, decode.d1.loss_cls: 0.8754, decode.d1.loss_mask: 0.7943, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.8038, decode.d2.loss_mask: 0.7842, decode.d2.loss_dice: 1.2051, decode.d3.loss_cls: 0.7952, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.1765, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7738, decode.d4.loss_dice: 1.1735, decode.d5.loss_cls: 0.7820, decode.d5.loss_mask: 0.7716, decode.d5.loss_dice: 1.1693, decode.d6.loss_cls: 0.7779, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.1632, decode.d7.loss_cls: 0.7693, decode.d7.loss_mask: 0.7701, decode.d7.loss_dice: 1.1659, decode.d8.loss_cls: 0.7699, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.1650, loss: 29.3781 2022-04-30 02:34:02,459 - mmseg - INFO - Iter [58700/80000] lr: 3.823e-07, eta: 10:58:12, time: 1.838, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7782, decode.loss_mask: 0.7342, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.5348, decode.d0.loss_mask: 0.7568, decode.d0.loss_dice: 1.3286, decode.d1.loss_cls: 0.8563, decode.d1.loss_mask: 0.7657, decode.d1.loss_dice: 1.2474, decode.d2.loss_cls: 0.7951, decode.d2.loss_mask: 0.7524, decode.d2.loss_dice: 1.2037, decode.d3.loss_cls: 0.7900, decode.d3.loss_mask: 0.7458, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.7876, decode.d4.loss_mask: 0.7454, decode.d4.loss_dice: 1.1726, decode.d5.loss_cls: 0.7845, decode.d5.loss_mask: 0.7398, decode.d5.loss_dice: 1.1711, decode.d6.loss_cls: 0.7820, decode.d6.loss_mask: 0.7399, decode.d6.loss_dice: 1.1578, decode.d7.loss_cls: 0.7769, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1590, decode.d8.loss_cls: 0.7797, decode.d8.loss_mask: 0.7359, decode.d8.loss_dice: 1.1607, loss: 29.0496 2022-04-30 02:35:32,970 - mmseg - INFO - Iter [58750/80000] lr: 3.814e-07, eta: 10:56:38, time: 1.811, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7459, decode.loss_mask: 0.7616, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.5544, decode.d0.loss_mask: 0.7770, decode.d0.loss_dice: 1.3288, decode.d1.loss_cls: 0.8425, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.2577, decode.d2.loss_cls: 0.7817, decode.d2.loss_mask: 0.7792, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7652, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.1779, decode.d4.loss_cls: 0.7592, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7559, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.1714, decode.d6.loss_cls: 0.7466, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.1656, decode.d7.loss_cls: 0.7468, decode.d7.loss_mask: 0.7637, decode.d7.loss_dice: 1.1629, decode.d8.loss_cls: 0.7433, decode.d8.loss_mask: 0.7638, decode.d8.loss_dice: 1.1637, loss: 29.1206 2022-04-30 02:37:03,324 - mmseg - INFO - Iter [58800/80000] lr: 3.805e-07, eta: 10:55:05, time: 1.807, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7844, decode.loss_mask: 0.7569, decode.loss_dice: 1.1671, decode.d0.loss_cls: 2.5334, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3513, decode.d1.loss_cls: 0.8774, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2663, decode.d2.loss_cls: 0.8204, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.2103, decode.d3.loss_cls: 0.8016, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.1812, decode.d4.loss_cls: 0.7894, decode.d4.loss_mask: 0.7633, decode.d4.loss_dice: 1.1865, decode.d5.loss_cls: 0.7909, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1814, decode.d6.loss_cls: 0.7847, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.1705, decode.d7.loss_cls: 0.7829, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.1712, decode.d8.loss_cls: 0.7801, decode.d8.loss_mask: 0.7572, decode.d8.loss_dice: 1.1722, loss: 29.4375 2022-04-30 02:38:33,539 - mmseg - INFO - Iter [58850/80000] lr: 3.796e-07, eta: 10:53:31, time: 1.804, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7799, decode.loss_mask: 0.7621, decode.loss_dice: 1.1948, decode.d0.loss_cls: 2.5161, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.3801, decode.d1.loss_cls: 0.8724, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.2938, decode.d2.loss_cls: 0.8099, decode.d2.loss_mask: 0.7771, decode.d2.loss_dice: 1.2424, decode.d3.loss_cls: 0.7918, decode.d3.loss_mask: 0.7744, decode.d3.loss_dice: 1.2136, decode.d4.loss_cls: 0.7874, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.2114, decode.d5.loss_cls: 0.7860, decode.d5.loss_mask: 0.7637, decode.d5.loss_dice: 1.2034, decode.d6.loss_cls: 0.7765, decode.d6.loss_mask: 0.7641, decode.d6.loss_dice: 1.1990, decode.d7.loss_cls: 0.7738, decode.d7.loss_mask: 0.7626, decode.d7.loss_dice: 1.1953, decode.d8.loss_cls: 0.7750, decode.d8.loss_mask: 0.7649, decode.d8.loss_dice: 1.1974, loss: 29.7009 2022-04-30 02:40:04,446 - mmseg - INFO - Iter [58900/80000] lr: 3.787e-07, eta: 10:51:58, time: 1.816, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7623, decode.loss_mask: 0.7384, decode.loss_dice: 1.1557, decode.d0.loss_cls: 2.5267, decode.d0.loss_mask: 0.7531, decode.d0.loss_dice: 1.3387, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7707, decode.d1.loss_dice: 1.2570, decode.d2.loss_cls: 0.8051, decode.d2.loss_mask: 0.7524, decode.d2.loss_dice: 1.2114, decode.d3.loss_cls: 0.7845, decode.d3.loss_mask: 0.7486, decode.d3.loss_dice: 1.1889, decode.d4.loss_cls: 0.7787, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.1825, decode.d5.loss_cls: 0.7767, decode.d5.loss_mask: 0.7387, decode.d5.loss_dice: 1.1679, decode.d6.loss_cls: 0.7728, decode.d6.loss_mask: 0.7375, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7376, decode.d7.loss_dice: 1.1596, decode.d8.loss_cls: 0.7634, decode.d8.loss_mask: 0.7357, decode.d8.loss_dice: 1.1547, loss: 29.0282 2022-04-30 02:41:36,008 - mmseg - INFO - Iter [58950/80000] lr: 3.778e-07, eta: 10:50:25, time: 1.832, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7721, decode.loss_mask: 0.7344, decode.loss_dice: 1.1626, decode.d0.loss_cls: 2.5637, decode.d0.loss_mask: 0.7435, decode.d0.loss_dice: 1.3413, decode.d1.loss_cls: 0.8730, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.2516, decode.d2.loss_cls: 0.8097, decode.d2.loss_mask: 0.7440, decode.d2.loss_dice: 1.2080, decode.d3.loss_cls: 0.7977, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 0.7902, decode.d4.loss_mask: 0.7350, decode.d4.loss_dice: 1.1818, decode.d5.loss_cls: 0.7891, decode.d5.loss_mask: 0.7318, decode.d5.loss_dice: 1.1695, decode.d6.loss_cls: 0.7776, decode.d6.loss_mask: 0.7291, decode.d6.loss_dice: 1.1665, decode.d7.loss_cls: 0.7726, decode.d7.loss_mask: 0.7322, decode.d7.loss_dice: 1.1685, decode.d8.loss_cls: 0.7756, decode.d8.loss_mask: 0.7343, decode.d8.loss_dice: 1.1649, loss: 29.1057 2022-04-30 02:43:06,647 - mmseg - INFO - Saving checkpoint at 59000 iterations 2022-04-30 02:43:24,298 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 02:43:24,309 - mmseg - INFO - Iter [59000/80000] lr: 3.769e-07, eta: 10:48:58, time: 2.165, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7513, decode.loss_mask: 0.7437, decode.loss_dice: 1.1496, decode.d0.loss_cls: 2.5285, decode.d0.loss_mask: 0.7611, decode.d0.loss_dice: 1.3303, decode.d1.loss_cls: 0.8336, decode.d1.loss_mask: 0.7761, decode.d1.loss_dice: 1.2471, decode.d2.loss_cls: 0.7825, decode.d2.loss_mask: 0.7572, decode.d2.loss_dice: 1.1911, decode.d3.loss_cls: 0.7729, decode.d3.loss_mask: 0.7484, decode.d3.loss_dice: 1.1627, decode.d4.loss_cls: 0.7610, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.1652, decode.d5.loss_cls: 0.7586, decode.d5.loss_mask: 0.7458, decode.d5.loss_dice: 1.1563, decode.d6.loss_cls: 0.7517, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1519, decode.d7.loss_cls: 0.7474, decode.d7.loss_mask: 0.7452, decode.d7.loss_dice: 1.1527, decode.d8.loss_cls: 0.7479, decode.d8.loss_mask: 0.7428, decode.d8.loss_dice: 1.1536, loss: 28.8089 2022-04-30 02:44:55,819 - mmseg - INFO - Iter [59050/80000] lr: 3.760e-07, eta: 10:47:24, time: 1.833, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7454, decode.loss_mask: 0.7758, decode.loss_dice: 1.1353, decode.d0.loss_cls: 2.4633, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.2971, decode.d1.loss_cls: 0.8109, decode.d1.loss_mask: 0.8171, decode.d1.loss_dice: 1.2272, decode.d2.loss_cls: 0.7628, decode.d2.loss_mask: 0.7957, decode.d2.loss_dice: 1.1804, decode.d3.loss_cls: 0.7512, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.1552, decode.d4.loss_cls: 0.7416, decode.d4.loss_mask: 0.7911, decode.d4.loss_dice: 1.1550, decode.d5.loss_cls: 0.7414, decode.d5.loss_mask: 0.7841, decode.d5.loss_dice: 1.1492, decode.d6.loss_cls: 0.7370, decode.d6.loss_mask: 0.7807, decode.d6.loss_dice: 1.1370, decode.d7.loss_cls: 0.7361, decode.d7.loss_mask: 0.7794, decode.d7.loss_dice: 1.1389, decode.d8.loss_cls: 0.7417, decode.d8.loss_mask: 0.7826, decode.d8.loss_dice: 1.1375, loss: 28.8252 2022-04-30 02:46:27,033 - mmseg - INFO - Iter [59100/80000] lr: 3.751e-07, eta: 10:45:51, time: 1.824, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7827, decode.loss_mask: 0.7423, decode.loss_dice: 1.1617, decode.d0.loss_cls: 2.5444, decode.d0.loss_mask: 0.7520, decode.d0.loss_dice: 1.3334, decode.d1.loss_cls: 0.8764, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.8086, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2119, decode.d3.loss_cls: 0.8047, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1859, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1903, decode.d5.loss_cls: 0.7898, decode.d5.loss_mask: 0.7455, decode.d5.loss_dice: 1.1782, decode.d6.loss_cls: 0.7840, decode.d6.loss_mask: 0.7454, decode.d6.loss_dice: 1.1666, decode.d7.loss_cls: 0.7798, decode.d7.loss_mask: 0.7433, decode.d7.loss_dice: 1.1658, decode.d8.loss_cls: 0.7775, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1660, loss: 29.2638 2022-04-30 02:48:01,355 - mmseg - INFO - Iter [59150/80000] lr: 3.742e-07, eta: 10:44:19, time: 1.886, data_time: 0.062, memory: 64979, decode.loss_cls: 0.7885, decode.loss_mask: 0.7768, decode.loss_dice: 1.1784, decode.d0.loss_cls: 2.5592, decode.d0.loss_mask: 0.7915, decode.d0.loss_dice: 1.3693, decode.d1.loss_cls: 0.8845, decode.d1.loss_mask: 0.8097, decode.d1.loss_dice: 1.2838, decode.d2.loss_cls: 0.8341, decode.d2.loss_mask: 0.7914, decode.d2.loss_dice: 1.2254, decode.d3.loss_cls: 0.8143, decode.d3.loss_mask: 0.7829, decode.d3.loss_dice: 1.2045, decode.d4.loss_cls: 0.8065, decode.d4.loss_mask: 0.7881, decode.d4.loss_dice: 1.1968, decode.d5.loss_cls: 0.8044, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.1872, decode.d6.loss_cls: 0.7990, decode.d6.loss_mask: 0.7757, decode.d6.loss_dice: 1.1784, decode.d7.loss_cls: 0.7908, decode.d7.loss_mask: 0.7756, decode.d7.loss_dice: 1.1823, decode.d8.loss_cls: 0.7876, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.1772, loss: 29.9050 2022-04-30 02:49:33,116 - mmseg - INFO - Iter [59200/80000] lr: 3.733e-07, eta: 10:42:46, time: 1.835, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7577, decode.loss_mask: 0.7353, decode.loss_dice: 1.1430, decode.d0.loss_cls: 2.4971, decode.d0.loss_mask: 0.7505, decode.d0.loss_dice: 1.3240, decode.d1.loss_cls: 0.8337, decode.d1.loss_mask: 0.7705, decode.d1.loss_dice: 1.2458, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1858, decode.d3.loss_cls: 0.7700, decode.d3.loss_mask: 0.7413, decode.d3.loss_dice: 1.1617, decode.d4.loss_cls: 0.7620, decode.d4.loss_mask: 0.7452, decode.d4.loss_dice: 1.1657, decode.d5.loss_cls: 0.7597, decode.d5.loss_mask: 0.7417, decode.d5.loss_dice: 1.1511, decode.d6.loss_cls: 0.7573, decode.d6.loss_mask: 0.7352, decode.d6.loss_dice: 1.1481, decode.d7.loss_cls: 0.7556, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1431, decode.d8.loss_cls: 0.7591, decode.d8.loss_mask: 0.7350, decode.d8.loss_dice: 1.1444, loss: 28.6862 2022-04-30 02:51:02,999 - mmseg - INFO - Iter [59250/80000] lr: 3.724e-07, eta: 10:41:12, time: 1.798, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7934, decode.loss_mask: 0.7519, decode.loss_dice: 1.1636, decode.d0.loss_cls: 2.5072, decode.d0.loss_mask: 0.7675, decode.d0.loss_dice: 1.3388, decode.d1.loss_cls: 0.8914, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.2701, decode.d2.loss_cls: 0.8372, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.2169, decode.d3.loss_cls: 0.8159, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.1846, decode.d4.loss_cls: 0.8092, decode.d4.loss_mask: 0.7634, decode.d4.loss_dice: 1.1798, decode.d5.loss_cls: 0.8017, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1732, decode.d6.loss_cls: 0.7986, decode.d6.loss_mask: 0.7518, decode.d6.loss_dice: 1.1632, decode.d7.loss_cls: 0.7965, decode.d7.loss_mask: 0.7509, decode.d7.loss_dice: 1.1622, decode.d8.loss_cls: 0.7939, decode.d8.loss_mask: 0.7497, decode.d8.loss_dice: 1.1633, loss: 29.4741 2022-04-30 02:52:35,300 - mmseg - INFO - Iter [59300/80000] lr: 3.715e-07, eta: 10:39:39, time: 1.846, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7557, decode.loss_mask: 0.7463, decode.loss_dice: 1.1579, decode.d0.loss_cls: 2.5712, decode.d0.loss_mask: 0.7572, decode.d0.loss_dice: 1.3394, decode.d1.loss_cls: 0.8487, decode.d1.loss_mask: 0.7740, decode.d1.loss_dice: 1.2560, decode.d2.loss_cls: 0.7902, decode.d2.loss_mask: 0.7606, decode.d2.loss_dice: 1.2108, decode.d3.loss_cls: 0.7744, decode.d3.loss_mask: 0.7577, decode.d3.loss_dice: 1.1839, decode.d4.loss_cls: 0.7704, decode.d4.loss_mask: 0.7506, decode.d4.loss_dice: 1.1778, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7525, decode.d5.loss_dice: 1.1715, decode.d6.loss_cls: 0.7642, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1597, decode.d7.loss_cls: 0.7634, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.1657, decode.d8.loss_cls: 0.7596, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.1563, loss: 29.0862 2022-04-30 02:54:06,794 - mmseg - INFO - Iter [59350/80000] lr: 3.706e-07, eta: 10:38:06, time: 1.830, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7827, decode.loss_mask: 0.7416, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.5246, decode.d0.loss_mask: 0.7585, decode.d0.loss_dice: 1.3398, decode.d1.loss_cls: 0.8727, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.8177, decode.d2.loss_mask: 0.7563, decode.d2.loss_dice: 1.2006, decode.d3.loss_cls: 0.8027, decode.d3.loss_mask: 0.7512, decode.d3.loss_dice: 1.1762, decode.d4.loss_cls: 0.7937, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1773, decode.d5.loss_cls: 0.7883, decode.d5.loss_mask: 0.7469, decode.d5.loss_dice: 1.1739, decode.d6.loss_cls: 0.7870, decode.d6.loss_mask: 0.7433, decode.d6.loss_dice: 1.1709, decode.d7.loss_cls: 0.7824, decode.d7.loss_mask: 0.7408, decode.d7.loss_dice: 1.1673, decode.d8.loss_cls: 0.7906, decode.d8.loss_mask: 0.7415, decode.d8.loss_dice: 1.1630, loss: 29.2309 2022-04-30 02:55:37,437 - mmseg - INFO - Iter [59400/80000] lr: 3.697e-07, eta: 10:36:33, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7958, decode.loss_mask: 0.7447, decode.loss_dice: 1.1965, decode.d0.loss_cls: 2.5951, decode.d0.loss_mask: 0.7555, decode.d0.loss_dice: 1.3818, decode.d1.loss_cls: 0.8864, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2963, decode.d2.loss_cls: 0.8285, decode.d2.loss_mask: 0.7603, decode.d2.loss_dice: 1.2369, decode.d3.loss_cls: 0.8034, decode.d3.loss_mask: 0.7559, decode.d3.loss_dice: 1.2196, decode.d4.loss_cls: 0.7973, decode.d4.loss_mask: 0.7525, decode.d4.loss_dice: 1.2157, decode.d5.loss_cls: 0.7982, decode.d5.loss_mask: 0.7535, decode.d5.loss_dice: 1.2023, decode.d6.loss_cls: 0.7912, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1943, decode.d7.loss_cls: 0.7940, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1941, decode.d8.loss_cls: 0.7933, decode.d8.loss_mask: 0.7499, decode.d8.loss_dice: 1.1934, loss: 29.7700 2022-04-30 02:57:08,558 - mmseg - INFO - Iter [59450/80000] lr: 3.688e-07, eta: 10:35:00, time: 1.822, data_time: 0.012, memory: 64979, decode.loss_cls: 0.8050, decode.loss_mask: 0.7721, decode.loss_dice: 1.2056, decode.d0.loss_cls: 2.5557, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.4025, decode.d1.loss_cls: 0.9078, decode.d1.loss_mask: 0.8064, decode.d1.loss_dice: 1.3076, decode.d2.loss_cls: 0.8513, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2543, decode.d3.loss_cls: 0.8275, decode.d3.loss_mask: 0.7799, decode.d3.loss_dice: 1.2342, decode.d4.loss_cls: 0.8207, decode.d4.loss_mask: 0.7757, decode.d4.loss_dice: 1.2284, decode.d5.loss_cls: 0.8129, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.2142, decode.d6.loss_cls: 0.8130, decode.d6.loss_mask: 0.7720, decode.d6.loss_dice: 1.2068, decode.d7.loss_cls: 0.8107, decode.d7.loss_mask: 0.7721, decode.d7.loss_dice: 1.2045, decode.d8.loss_cls: 0.8062, decode.d8.loss_mask: 0.7744, decode.d8.loss_dice: 1.2127, loss: 30.2778 2022-04-30 02:58:39,503 - mmseg - INFO - Iter [59500/80000] lr: 3.679e-07, eta: 10:33:26, time: 1.819, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8070, decode.loss_mask: 0.7457, decode.loss_dice: 1.2082, decode.d0.loss_cls: 2.6360, decode.d0.loss_mask: 0.7646, decode.d0.loss_dice: 1.4020, decode.d1.loss_cls: 0.9007, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.3096, decode.d2.loss_cls: 0.8465, decode.d2.loss_mask: 0.7595, decode.d2.loss_dice: 1.2524, decode.d3.loss_cls: 0.8237, decode.d3.loss_mask: 0.7523, decode.d3.loss_dice: 1.2304, decode.d4.loss_cls: 0.8172, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.2277, decode.d5.loss_cls: 0.8162, decode.d5.loss_mask: 0.7513, decode.d5.loss_dice: 1.2192, decode.d6.loss_cls: 0.8109, decode.d6.loss_mask: 0.7469, decode.d6.loss_dice: 1.2070, decode.d7.loss_cls: 0.8073, decode.d7.loss_mask: 0.7457, decode.d7.loss_dice: 1.2111, decode.d8.loss_cls: 0.8036, decode.d8.loss_mask: 0.7437, decode.d8.loss_dice: 1.2121, loss: 30.0914 2022-04-30 03:00:11,220 - mmseg - INFO - Iter [59550/80000] lr: 3.670e-07, eta: 10:31:53, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7739, decode.loss_mask: 0.7709, decode.loss_dice: 1.1689, decode.d0.loss_cls: 2.5901, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3298, decode.d1.loss_cls: 0.8558, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.2651, decode.d2.loss_cls: 0.8009, decode.d2.loss_mask: 0.7914, decode.d2.loss_dice: 1.2129, decode.d3.loss_cls: 0.7800, decode.d3.loss_mask: 0.7810, decode.d3.loss_dice: 1.1899, decode.d4.loss_cls: 0.7762, decode.d4.loss_mask: 0.7828, decode.d4.loss_dice: 1.1918, decode.d5.loss_cls: 0.7774, decode.d5.loss_mask: 0.7744, decode.d5.loss_dice: 1.1819, decode.d6.loss_cls: 0.7729, decode.d6.loss_mask: 0.7720, decode.d6.loss_dice: 1.1678, decode.d7.loss_cls: 0.7642, decode.d7.loss_mask: 0.7743, decode.d7.loss_dice: 1.1738, decode.d8.loss_cls: 0.7665, decode.d8.loss_mask: 0.7710, decode.d8.loss_dice: 1.1722, loss: 29.5170 2022-04-30 03:01:42,200 - mmseg - INFO - Iter [59600/80000] lr: 3.661e-07, eta: 10:30:20, time: 1.820, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7364, decode.loss_mask: 0.7517, decode.loss_dice: 1.1126, decode.d0.loss_cls: 2.5077, decode.d0.loss_mask: 0.7651, decode.d0.loss_dice: 1.2914, decode.d1.loss_cls: 0.8382, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2172, decode.d2.loss_cls: 0.7671, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.1528, decode.d3.loss_cls: 0.7504, decode.d3.loss_mask: 0.7617, decode.d3.loss_dice: 1.1304, decode.d4.loss_cls: 0.7476, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.1291, decode.d5.loss_cls: 0.7382, decode.d5.loss_mask: 0.7609, decode.d5.loss_dice: 1.1240, decode.d6.loss_cls: 0.7381, decode.d6.loss_mask: 0.7564, decode.d6.loss_dice: 1.1128, decode.d7.loss_cls: 0.7371, decode.d7.loss_mask: 0.7532, decode.d7.loss_dice: 1.1142, decode.d8.loss_cls: 0.7411, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.1139, loss: 28.4234 2022-04-30 03:03:14,113 - mmseg - INFO - Iter [59650/80000] lr: 3.652e-07, eta: 10:28:47, time: 1.838, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7844, decode.loss_mask: 0.7386, decode.loss_dice: 1.1454, decode.d0.loss_cls: 2.5916, decode.d0.loss_mask: 0.7535, decode.d0.loss_dice: 1.3328, decode.d1.loss_cls: 0.8726, decode.d1.loss_mask: 0.7697, decode.d1.loss_dice: 1.2458, decode.d2.loss_cls: 0.8117, decode.d2.loss_mask: 0.7565, decode.d2.loss_dice: 1.1969, decode.d3.loss_cls: 0.7864, decode.d3.loss_mask: 0.7483, decode.d3.loss_dice: 1.1725, decode.d4.loss_cls: 0.7856, decode.d4.loss_mask: 0.7543, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7852, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1606, decode.d6.loss_cls: 0.7832, decode.d6.loss_mask: 0.7387, decode.d6.loss_dice: 1.1511, decode.d7.loss_cls: 0.7758, decode.d7.loss_mask: 0.7420, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 0.7828, decode.d8.loss_mask: 0.7412, decode.d8.loss_dice: 1.1468, loss: 29.1252 2022-04-30 03:04:45,400 - mmseg - INFO - Iter [59700/80000] lr: 3.644e-07, eta: 10:27:14, time: 1.826, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7651, decode.loss_mask: 0.7741, decode.loss_dice: 1.1731, decode.d0.loss_cls: 2.5180, decode.d0.loss_mask: 0.7846, decode.d0.loss_dice: 1.3341, decode.d1.loss_cls: 0.8502, decode.d1.loss_mask: 0.8084, decode.d1.loss_dice: 1.2667, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7935, decode.d2.loss_dice: 1.2142, decode.d3.loss_cls: 0.7735, decode.d3.loss_mask: 0.7836, decode.d3.loss_dice: 1.1927, decode.d4.loss_cls: 0.7624, decode.d4.loss_mask: 0.7873, decode.d4.loss_dice: 1.1904, decode.d5.loss_cls: 0.7625, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.1869, decode.d6.loss_cls: 0.7625, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.1697, decode.d7.loss_cls: 0.7597, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.1777, decode.d8.loss_cls: 0.7591, decode.d8.loss_mask: 0.7805, decode.d8.loss_dice: 1.1731, loss: 29.4314 2022-04-30 03:06:16,050 - mmseg - INFO - Iter [59750/80000] lr: 3.635e-07, eta: 10:25:40, time: 1.811, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7567, decode.loss_mask: 0.7443, decode.loss_dice: 1.1456, decode.d0.loss_cls: 2.5407, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.3287, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7828, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.7869, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.2091, decode.d3.loss_cls: 0.7754, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.7678, decode.d4.loss_mask: 0.7513, decode.d4.loss_dice: 1.1749, decode.d5.loss_cls: 0.7647, decode.d5.loss_mask: 0.7494, decode.d5.loss_dice: 1.1595, decode.d6.loss_cls: 0.7586, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1560, decode.d7.loss_cls: 0.7557, decode.d7.loss_mask: 0.7446, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.7522, decode.d8.loss_mask: 0.7452, decode.d8.loss_dice: 1.1446, loss: 28.9471 2022-04-30 03:07:47,252 - mmseg - INFO - Iter [59800/80000] lr: 3.626e-07, eta: 10:24:07, time: 1.825, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7899, decode.loss_mask: 0.7714, decode.loss_dice: 1.1921, decode.d0.loss_cls: 2.5385, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3687, decode.d1.loss_cls: 0.8784, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2848, decode.d2.loss_cls: 0.8265, decode.d2.loss_mask: 0.7917, decode.d2.loss_dice: 1.2334, decode.d3.loss_cls: 0.8134, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.2105, decode.d4.loss_cls: 0.8060, decode.d4.loss_mask: 0.7858, decode.d4.loss_dice: 1.2052, decode.d5.loss_cls: 0.7967, decode.d5.loss_mask: 0.7803, decode.d5.loss_dice: 1.2054, decode.d6.loss_cls: 0.7956, decode.d6.loss_mask: 0.7766, decode.d6.loss_dice: 1.1964, decode.d7.loss_cls: 0.7921, decode.d7.loss_mask: 0.7761, decode.d7.loss_dice: 1.2004, decode.d8.loss_cls: 0.7851, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.1923, loss: 29.9350 2022-04-30 03:09:19,116 - mmseg - INFO - Iter [59850/80000] lr: 3.617e-07, eta: 10:22:34, time: 1.838, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7566, decode.loss_mask: 0.7699, decode.loss_dice: 1.1693, decode.d0.loss_cls: 2.4960, decode.d0.loss_mask: 0.7873, decode.d0.loss_dice: 1.3512, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2766, decode.d2.loss_cls: 0.7998, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2142, decode.d3.loss_cls: 0.7818, decode.d3.loss_mask: 0.7790, decode.d3.loss_dice: 1.1879, decode.d4.loss_cls: 0.7753, decode.d4.loss_mask: 0.7702, decode.d4.loss_dice: 1.1891, decode.d5.loss_cls: 0.7677, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1826, decode.d6.loss_cls: 0.7650, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.1759, decode.d7.loss_cls: 0.7641, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.1763, decode.d8.loss_cls: 0.7606, decode.d8.loss_mask: 0.7719, decode.d8.loss_dice: 1.1743, loss: 29.3997 2022-04-30 03:10:50,765 - mmseg - INFO - Iter [59900/80000] lr: 3.608e-07, eta: 10:21:01, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7826, decode.loss_mask: 0.7792, decode.loss_dice: 1.1878, decode.d0.loss_cls: 2.5550, decode.d0.loss_mask: 0.7911, decode.d0.loss_dice: 1.3697, decode.d1.loss_cls: 0.8716, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.2904, decode.d2.loss_cls: 0.8146, decode.d2.loss_mask: 0.7964, decode.d2.loss_dice: 1.2372, decode.d3.loss_cls: 0.8031, decode.d3.loss_mask: 0.7835, decode.d3.loss_dice: 1.2130, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.7837, decode.d4.loss_dice: 1.2048, decode.d5.loss_cls: 0.7915, decode.d5.loss_mask: 0.7777, decode.d5.loss_dice: 1.1982, decode.d6.loss_cls: 0.7899, decode.d6.loss_mask: 0.7699, decode.d6.loss_dice: 1.1908, decode.d7.loss_cls: 0.7854, decode.d7.loss_mask: 0.7743, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.7807, decode.d8.loss_mask: 0.7760, decode.d8.loss_dice: 1.1889, loss: 29.8756 2022-04-30 03:12:20,994 - mmseg - INFO - Iter [59950/80000] lr: 3.599e-07, eta: 10:19:28, time: 1.805, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7855, decode.loss_mask: 0.7398, decode.loss_dice: 1.1588, decode.d0.loss_cls: 2.5608, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.3437, decode.d1.loss_cls: 0.8685, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.2658, decode.d2.loss_cls: 0.8135, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.2122, decode.d3.loss_cls: 0.7973, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.1810, decode.d4.loss_cls: 0.7923, decode.d4.loss_mask: 0.7447, decode.d4.loss_dice: 1.1894, decode.d5.loss_cls: 0.7932, decode.d5.loss_mask: 0.7426, decode.d5.loss_dice: 1.1728, decode.d6.loss_cls: 0.7906, decode.d6.loss_mask: 0.7420, decode.d6.loss_dice: 1.1601, decode.d7.loss_cls: 0.7825, decode.d7.loss_mask: 0.7433, decode.d7.loss_dice: 1.1610, decode.d8.loss_cls: 0.7865, decode.d8.loss_mask: 0.7390, decode.d8.loss_dice: 1.1560, loss: 29.2530 2022-04-30 03:13:52,179 - mmseg - INFO - Saving checkpoint at 60000 iterations 2022-04-30 03:14:10,675 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 03:14:10,675 - mmseg - INFO - Iter [60000/80000] lr: 3.590e-07, eta: 10:18:01, time: 2.194, data_time: 0.016, memory: 64979, decode.loss_cls: 0.8282, decode.loss_mask: 0.7564, decode.loss_dice: 1.1882, decode.d0.loss_cls: 2.6151, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.3760, decode.d1.loss_cls: 0.9038, decode.d1.loss_mask: 0.7943, decode.d1.loss_dice: 1.2946, decode.d2.loss_cls: 0.8511, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.2491, decode.d3.loss_cls: 0.8378, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.2151, decode.d4.loss_cls: 0.8306, decode.d4.loss_mask: 0.7642, decode.d4.loss_dice: 1.2077, decode.d5.loss_cls: 0.8297, decode.d5.loss_mask: 0.7622, decode.d5.loss_dice: 1.2053, decode.d6.loss_cls: 0.8327, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.1914, decode.d7.loss_cls: 0.8275, decode.d7.loss_mask: 0.7583, decode.d7.loss_dice: 1.1970, decode.d8.loss_cls: 0.8251, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.1918, loss: 30.1720 2022-04-30 03:15:41,544 - mmseg - INFO - Iter [60050/80000] lr: 3.581e-07, eta: 10:16:27, time: 1.818, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8059, decode.loss_mask: 0.7482, decode.loss_dice: 1.1886, decode.d0.loss_cls: 2.6035, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3781, decode.d1.loss_cls: 0.8894, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2926, decode.d2.loss_cls: 0.8358, decode.d2.loss_mask: 0.7699, decode.d2.loss_dice: 1.2425, decode.d3.loss_cls: 0.8158, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.2173, decode.d4.loss_cls: 0.8121, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 0.8139, decode.d5.loss_mask: 0.7526, decode.d5.loss_dice: 1.2078, decode.d6.loss_cls: 0.8121, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.1935, decode.d7.loss_cls: 0.8073, decode.d7.loss_mask: 0.7492, decode.d7.loss_dice: 1.1958, decode.d8.loss_cls: 0.8034, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.1902, loss: 29.8926 2022-04-30 03:17:12,482 - mmseg - INFO - Iter [60100/80000] lr: 3.572e-07, eta: 10:14:54, time: 1.818, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7756, decode.loss_mask: 0.7655, decode.loss_dice: 1.1679, decode.d0.loss_cls: 2.5577, decode.d0.loss_mask: 0.7762, decode.d0.loss_dice: 1.3561, decode.d1.loss_cls: 0.8759, decode.d1.loss_mask: 0.7986, decode.d1.loss_dice: 1.2733, decode.d2.loss_cls: 0.8100, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2098, decode.d3.loss_cls: 0.7869, decode.d3.loss_mask: 0.7730, decode.d3.loss_dice: 1.1930, decode.d4.loss_cls: 0.7788, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.1890, decode.d5.loss_cls: 0.7873, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.1756, decode.d6.loss_cls: 0.7740, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1713, decode.d7.loss_cls: 0.7783, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.1689, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7651, decode.d8.loss_dice: 1.1706, loss: 29.4994 2022-04-30 03:18:43,415 - mmseg - INFO - Iter [60150/80000] lr: 3.563e-07, eta: 10:13:21, time: 1.819, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8069, decode.loss_mask: 0.7506, decode.loss_dice: 1.1713, decode.d0.loss_cls: 2.5794, decode.d0.loss_mask: 0.7706, decode.d0.loss_dice: 1.3687, decode.d1.loss_cls: 0.9094, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.2853, decode.d2.loss_cls: 0.8501, decode.d2.loss_mask: 0.7683, decode.d2.loss_dice: 1.2259, decode.d3.loss_cls: 0.8299, decode.d3.loss_mask: 0.7613, decode.d3.loss_dice: 1.1970, decode.d4.loss_cls: 0.8201, decode.d4.loss_mask: 0.7577, decode.d4.loss_dice: 1.1989, decode.d5.loss_cls: 0.8148, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1869, decode.d6.loss_cls: 0.8117, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1777, decode.d7.loss_cls: 0.8090, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1801, decode.d8.loss_cls: 0.8068, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1851, loss: 29.8126 2022-04-30 03:20:14,476 - mmseg - INFO - Iter [60200/80000] lr: 3.554e-07, eta: 10:11:48, time: 1.821, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7713, decode.loss_mask: 0.7444, decode.loss_dice: 1.1378, decode.d0.loss_cls: 2.5316, decode.d0.loss_mask: 0.7634, decode.d0.loss_dice: 1.3147, decode.d1.loss_cls: 0.8595, decode.d1.loss_mask: 0.7761, decode.d1.loss_dice: 1.2358, decode.d2.loss_cls: 0.8057, decode.d2.loss_mask: 0.7569, decode.d2.loss_dice: 1.1893, decode.d3.loss_cls: 0.7872, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1552, decode.d4.loss_cls: 0.7816, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.1556, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7506, decode.d5.loss_dice: 1.1513, decode.d6.loss_cls: 0.7696, decode.d6.loss_mask: 0.7471, decode.d6.loss_dice: 1.1469, decode.d7.loss_cls: 0.7694, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1437, decode.d8.loss_cls: 0.7696, decode.d8.loss_mask: 0.7433, decode.d8.loss_dice: 1.1406, loss: 28.9257 2022-04-30 03:21:44,689 - mmseg - INFO - Iter [60250/80000] lr: 3.545e-07, eta: 10:10:14, time: 1.804, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7548, decode.loss_mask: 0.7543, decode.loss_dice: 1.1740, decode.d0.loss_cls: 2.5190, decode.d0.loss_mask: 0.7564, decode.d0.loss_dice: 1.3427, decode.d1.loss_cls: 0.8536, decode.d1.loss_mask: 0.7771, decode.d1.loss_dice: 1.2644, decode.d2.loss_cls: 0.7963, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2185, decode.d3.loss_cls: 0.7825, decode.d3.loss_mask: 0.7582, decode.d3.loss_dice: 1.1821, decode.d4.loss_cls: 0.7681, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.1829, decode.d5.loss_cls: 0.7634, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1803, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7551, decode.d6.loss_dice: 1.1707, decode.d7.loss_cls: 0.7540, decode.d7.loss_mask: 0.7559, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7564, decode.d8.loss_mask: 0.7526, decode.d8.loss_dice: 1.1748, loss: 29.1646 2022-04-30 03:23:15,809 - mmseg - INFO - Iter [60300/80000] lr: 3.536e-07, eta: 10:08:41, time: 1.821, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7757, decode.loss_mask: 0.7672, decode.loss_dice: 1.1623, decode.d0.loss_cls: 2.5565, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3365, decode.d1.loss_cls: 0.8618, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2682, decode.d2.loss_cls: 0.8122, decode.d2.loss_mask: 0.7922, decode.d2.loss_dice: 1.2130, decode.d3.loss_cls: 0.7931, decode.d3.loss_mask: 0.7786, decode.d3.loss_dice: 1.1804, decode.d4.loss_cls: 0.7827, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.1806, decode.d5.loss_cls: 0.7793, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.1742, decode.d6.loss_cls: 0.7718, decode.d6.loss_mask: 0.7696, decode.d6.loss_dice: 1.1676, decode.d7.loss_cls: 0.7717, decode.d7.loss_mask: 0.7694, decode.d7.loss_dice: 1.1661, decode.d8.loss_cls: 0.7733, decode.d8.loss_mask: 0.7709, decode.d8.loss_dice: 1.1685, loss: 29.4834 2022-04-30 03:24:46,493 - mmseg - INFO - Iter [60350/80000] lr: 3.527e-07, eta: 10:07:08, time: 1.815, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7977, decode.loss_mask: 0.7597, decode.loss_dice: 1.1826, decode.d0.loss_cls: 2.5879, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3742, decode.d1.loss_cls: 0.8933, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.2901, decode.d2.loss_cls: 0.8374, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.2319, decode.d3.loss_cls: 0.8216, decode.d3.loss_mask: 0.7637, decode.d3.loss_dice: 1.2095, decode.d4.loss_cls: 0.8166, decode.d4.loss_mask: 0.7639, decode.d4.loss_dice: 1.2102, decode.d5.loss_cls: 0.8038, decode.d5.loss_mask: 0.7618, decode.d5.loss_dice: 1.2072, decode.d6.loss_cls: 0.8001, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1988, decode.d7.loss_cls: 0.7983, decode.d7.loss_mask: 0.7590, decode.d7.loss_dice: 1.1923, decode.d8.loss_cls: 0.8005, decode.d8.loss_mask: 0.7585, decode.d8.loss_dice: 1.1894, loss: 29.8945 2022-04-30 03:26:17,052 - mmseg - INFO - Iter [60400/80000] lr: 3.518e-07, eta: 10:05:34, time: 1.811, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8061, decode.loss_mask: 0.7448, decode.loss_dice: 1.1889, decode.d0.loss_cls: 2.6506, decode.d0.loss_mask: 0.7445, decode.d0.loss_dice: 1.3617, decode.d1.loss_cls: 0.9029, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.8491, decode.d2.loss_mask: 0.7624, decode.d2.loss_dice: 1.2318, decode.d3.loss_cls: 0.8287, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.2027, decode.d4.loss_cls: 0.8221, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.2067, decode.d5.loss_cls: 0.8165, decode.d5.loss_mask: 0.7501, decode.d5.loss_dice: 1.2029, decode.d6.loss_cls: 0.8094, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.1910, decode.d7.loss_cls: 0.8109, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.1865, decode.d8.loss_cls: 0.8133, decode.d8.loss_mask: 0.7442, decode.d8.loss_dice: 1.1893, loss: 29.8769 2022-04-30 03:27:47,568 - mmseg - INFO - Iter [60450/80000] lr: 3.509e-07, eta: 10:04:01, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8166, decode.loss_mask: 0.7514, decode.loss_dice: 1.1945, decode.d0.loss_cls: 2.6154, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.3936, decode.d1.loss_cls: 0.8991, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.3093, decode.d2.loss_cls: 0.8480, decode.d2.loss_mask: 0.7703, decode.d2.loss_dice: 1.2462, decode.d3.loss_cls: 0.8300, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.2189, decode.d4.loss_cls: 0.8217, decode.d4.loss_mask: 0.7555, decode.d4.loss_dice: 1.2213, decode.d5.loss_cls: 0.8273, decode.d5.loss_mask: 0.7484, decode.d5.loss_dice: 1.2123, decode.d6.loss_cls: 0.8210, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.2030, decode.d7.loss_cls: 0.8203, decode.d7.loss_mask: 0.7468, decode.d7.loss_dice: 1.1962, decode.d8.loss_cls: 0.8182, decode.d8.loss_mask: 0.7485, decode.d8.loss_dice: 1.1998, loss: 30.0985 2022-04-30 03:29:18,024 - mmseg - INFO - Iter [60500/80000] lr: 3.500e-07, eta: 10:02:27, time: 1.809, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7621, decode.loss_mask: 0.7496, decode.loss_dice: 1.1511, decode.d0.loss_cls: 2.5284, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3316, decode.d1.loss_cls: 0.8547, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2431, decode.d2.loss_cls: 0.7900, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7725, decode.d3.loss_mask: 0.7600, decode.d3.loss_dice: 1.1793, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1707, decode.d5.loss_cls: 0.7759, decode.d5.loss_mask: 0.7533, decode.d5.loss_dice: 1.1695, decode.d6.loss_cls: 0.7604, decode.d6.loss_mask: 0.7485, decode.d6.loss_dice: 1.1597, decode.d7.loss_cls: 0.7594, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7567, decode.d8.loss_mask: 0.7505, decode.d8.loss_dice: 1.1536, loss: 29.0162 2022-04-30 03:30:48,422 - mmseg - INFO - Iter [60550/80000] lr: 3.491e-07, eta: 10:00:54, time: 1.808, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7384, decode.loss_mask: 0.7826, decode.loss_dice: 1.1783, decode.d0.loss_cls: 2.5208, decode.d0.loss_mask: 0.7907, decode.d0.loss_dice: 1.3496, decode.d1.loss_cls: 0.8208, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.2833, decode.d2.loss_cls: 0.7719, decode.d2.loss_mask: 0.7984, decode.d2.loss_dice: 1.2266, decode.d3.loss_cls: 0.7571, decode.d3.loss_mask: 0.7892, decode.d3.loss_dice: 1.2012, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7848, decode.d4.loss_dice: 1.1889, decode.d5.loss_cls: 0.7473, decode.d5.loss_mask: 0.7861, decode.d5.loss_dice: 1.1868, decode.d6.loss_cls: 0.7407, decode.d6.loss_mask: 0.7829, decode.d6.loss_dice: 1.1851, decode.d7.loss_cls: 0.7403, decode.d7.loss_mask: 0.7838, decode.d7.loss_dice: 1.1771, decode.d8.loss_cls: 0.7398, decode.d8.loss_mask: 0.7834, decode.d8.loss_dice: 1.1748, loss: 29.3729 2022-04-30 03:32:18,536 - mmseg - INFO - Iter [60600/80000] lr: 3.482e-07, eta: 9:59:20, time: 1.802, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7339, decode.loss_mask: 0.7724, decode.loss_dice: 1.1772, decode.d0.loss_cls: 2.4908, decode.d0.loss_mask: 0.7828, decode.d0.loss_dice: 1.3447, decode.d1.loss_cls: 0.8282, decode.d1.loss_mask: 0.8038, decode.d1.loss_dice: 1.2711, decode.d2.loss_cls: 0.7668, decode.d2.loss_mask: 0.7912, decode.d2.loss_dice: 1.2211, decode.d3.loss_cls: 0.7533, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.1970, decode.d4.loss_cls: 0.7459, decode.d4.loss_mask: 0.7769, decode.d4.loss_dice: 1.1964, decode.d5.loss_cls: 0.7424, decode.d5.loss_mask: 0.7775, decode.d5.loss_dice: 1.1910, decode.d6.loss_cls: 0.7336, decode.d6.loss_mask: 0.7707, decode.d6.loss_dice: 1.1803, decode.d7.loss_cls: 0.7338, decode.d7.loss_mask: 0.7737, decode.d7.loss_dice: 1.1791, decode.d8.loss_cls: 0.7336, decode.d8.loss_mask: 0.7755, decode.d8.loss_dice: 1.1805, loss: 29.2099 2022-04-30 03:33:50,044 - mmseg - INFO - Iter [60650/80000] lr: 3.473e-07, eta: 9:57:47, time: 1.828, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7983, decode.loss_mask: 0.7426, decode.loss_dice: 1.1470, decode.d0.loss_cls: 2.5534, decode.d0.loss_mask: 0.7575, decode.d0.loss_dice: 1.3314, decode.d1.loss_cls: 0.9007, decode.d1.loss_mask: 0.7700, decode.d1.loss_dice: 1.2444, decode.d2.loss_cls: 0.8338, decode.d2.loss_mask: 0.7577, decode.d2.loss_dice: 1.1907, decode.d3.loss_cls: 0.8205, decode.d3.loss_mask: 0.7513, decode.d3.loss_dice: 1.1714, decode.d4.loss_cls: 0.8173, decode.d4.loss_mask: 0.7462, decode.d4.loss_dice: 1.1641, decode.d5.loss_cls: 0.8038, decode.d5.loss_mask: 0.7424, decode.d5.loss_dice: 1.1581, decode.d6.loss_cls: 0.8017, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.1492, decode.d7.loss_cls: 0.7996, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.1527, decode.d8.loss_cls: 0.7976, decode.d8.loss_mask: 0.7412, decode.d8.loss_dice: 1.1512, loss: 29.2811 2022-04-30 03:35:21,781 - mmseg - INFO - Iter [60700/80000] lr: 3.464e-07, eta: 9:56:14, time: 1.837, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7854, decode.loss_mask: 0.7409, decode.loss_dice: 1.1450, decode.d0.loss_cls: 2.5214, decode.d0.loss_mask: 0.7610, decode.d0.loss_dice: 1.3287, decode.d1.loss_cls: 0.8683, decode.d1.loss_mask: 0.7840, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.8149, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.1925, decode.d3.loss_cls: 0.7934, decode.d3.loss_mask: 0.7579, decode.d3.loss_dice: 1.1685, decode.d4.loss_cls: 0.7956, decode.d4.loss_mask: 0.7516, decode.d4.loss_dice: 1.1631, decode.d5.loss_cls: 0.7884, decode.d5.loss_mask: 0.7520, decode.d5.loss_dice: 1.1531, decode.d6.loss_cls: 0.7793, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.1485, decode.d7.loss_cls: 0.7785, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.1529, decode.d8.loss_cls: 0.7754, decode.d8.loss_mask: 0.7481, decode.d8.loss_dice: 1.1519, loss: 29.1186 2022-04-30 03:36:53,643 - mmseg - INFO - Iter [60750/80000] lr: 3.455e-07, eta: 9:54:41, time: 1.837, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7534, decode.loss_mask: 0.7664, decode.loss_dice: 1.1901, decode.d0.loss_cls: 2.5347, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3705, decode.d1.loss_cls: 0.8426, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.2882, decode.d2.loss_cls: 0.7883, decode.d2.loss_mask: 0.7870, decode.d2.loss_dice: 1.2358, decode.d3.loss_cls: 0.7710, decode.d3.loss_mask: 0.7798, decode.d3.loss_dice: 1.2114, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7790, decode.d4.loss_dice: 1.2112, decode.d5.loss_cls: 0.7578, decode.d5.loss_mask: 0.7719, decode.d5.loss_dice: 1.1996, decode.d6.loss_cls: 0.7550, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7684, decode.d7.loss_dice: 1.1896, decode.d8.loss_cls: 0.7537, decode.d8.loss_mask: 0.7675, decode.d8.loss_dice: 1.1880, loss: 29.5255 2022-04-30 03:38:24,169 - mmseg - INFO - Iter [60800/80000] lr: 3.446e-07, eta: 9:53:08, time: 1.809, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8229, decode.loss_mask: 0.7495, decode.loss_dice: 1.1949, decode.d0.loss_cls: 2.6434, decode.d0.loss_mask: 0.7609, decode.d0.loss_dice: 1.3786, decode.d1.loss_cls: 0.9215, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.3017, decode.d2.loss_cls: 0.8613, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.2501, decode.d3.loss_cls: 0.8452, decode.d3.loss_mask: 0.7572, decode.d3.loss_dice: 1.2169, decode.d4.loss_cls: 0.8392, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.2144, decode.d5.loss_cls: 0.8340, decode.d5.loss_mask: 0.7571, decode.d5.loss_dice: 1.2118, decode.d6.loss_cls: 0.8308, decode.d6.loss_mask: 0.7530, decode.d6.loss_dice: 1.2005, decode.d7.loss_cls: 0.8292, decode.d7.loss_mask: 0.7493, decode.d7.loss_dice: 1.1954, decode.d8.loss_cls: 0.8269, decode.d8.loss_mask: 0.7484, decode.d8.loss_dice: 1.2017, loss: 30.1994 2022-04-30 03:39:56,030 - mmseg - INFO - Iter [60850/80000] lr: 3.437e-07, eta: 9:51:35, time: 1.838, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7685, decode.loss_mask: 0.7733, decode.loss_dice: 1.1646, decode.d0.loss_cls: 2.5581, decode.d0.loss_mask: 0.7895, decode.d0.loss_dice: 1.3420, decode.d1.loss_cls: 0.8709, decode.d1.loss_mask: 0.8082, decode.d1.loss_dice: 1.2542, decode.d2.loss_cls: 0.8039, decode.d2.loss_mask: 0.7938, decode.d2.loss_dice: 1.2117, decode.d3.loss_cls: 0.7856, decode.d3.loss_mask: 0.7833, decode.d3.loss_dice: 1.1891, decode.d4.loss_cls: 0.7800, decode.d4.loss_mask: 0.7833, decode.d4.loss_dice: 1.1828, decode.d5.loss_cls: 0.7759, decode.d5.loss_mask: 0.7805, decode.d5.loss_dice: 1.1805, decode.d6.loss_cls: 0.7702, decode.d6.loss_mask: 0.7751, decode.d6.loss_dice: 1.1644, decode.d7.loss_cls: 0.7671, decode.d7.loss_mask: 0.7781, decode.d7.loss_dice: 1.1654, decode.d8.loss_cls: 0.7636, decode.d8.loss_mask: 0.7773, decode.d8.loss_dice: 1.1684, loss: 29.5093 2022-04-30 03:41:26,241 - mmseg - INFO - Iter [60900/80000] lr: 3.428e-07, eta: 9:50:02, time: 1.804, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7346, decode.loss_mask: 0.7526, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.5167, decode.d0.loss_mask: 0.7543, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8347, decode.d1.loss_mask: 0.7718, decode.d1.loss_dice: 1.2353, decode.d2.loss_cls: 0.7783, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.1849, decode.d3.loss_cls: 0.7557, decode.d3.loss_mask: 0.7581, decode.d3.loss_dice: 1.1674, decode.d4.loss_cls: 0.7527, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1591, decode.d5.loss_cls: 0.7494, decode.d5.loss_mask: 0.7480, decode.d5.loss_dice: 1.1517, decode.d6.loss_cls: 0.7388, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.1557, decode.d7.loss_cls: 0.7337, decode.d7.loss_mask: 0.7495, decode.d7.loss_dice: 1.1483, decode.d8.loss_cls: 0.7353, decode.d8.loss_mask: 0.7486, decode.d8.loss_dice: 1.1449, loss: 28.6957 2022-04-30 03:42:58,230 - mmseg - INFO - Iter [60950/80000] lr: 3.419e-07, eta: 9:48:29, time: 1.838, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7734, decode.loss_mask: 0.7407, decode.loss_dice: 1.1517, decode.d0.loss_cls: 2.5371, decode.d0.loss_mask: 0.7481, decode.d0.loss_dice: 1.3312, decode.d1.loss_cls: 0.8613, decode.d1.loss_mask: 0.7697, decode.d1.loss_dice: 1.2600, decode.d2.loss_cls: 0.7928, decode.d2.loss_mask: 0.7516, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7891, decode.d3.loss_mask: 0.7375, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.7763, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.1711, decode.d5.loss_cls: 0.7773, decode.d5.loss_mask: 0.7397, decode.d5.loss_dice: 1.1672, decode.d6.loss_cls: 0.7713, decode.d6.loss_mask: 0.7356, decode.d6.loss_dice: 1.1555, decode.d7.loss_cls: 0.7703, decode.d7.loss_mask: 0.7404, decode.d7.loss_dice: 1.1610, decode.d8.loss_cls: 0.7707, decode.d8.loss_mask: 0.7376, decode.d8.loss_dice: 1.1531, loss: 28.9839 2022-04-30 03:44:31,342 - mmseg - INFO - Saving checkpoint at 61000 iterations 2022-04-30 03:45:03,083 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 03:45:03,094 - mmseg - INFO - Iter [61000/80000] lr: 3.410e-07, eta: 9:47:06, time: 2.495, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7983, decode.loss_mask: 0.7483, decode.loss_dice: 1.1624, decode.d0.loss_cls: 2.5528, decode.d0.loss_mask: 0.7576, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.8883, decode.d1.loss_mask: 0.7758, decode.d1.loss_dice: 1.2538, decode.d2.loss_cls: 0.8303, decode.d2.loss_mask: 0.7572, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.8177, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.1795, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.7543, decode.d4.loss_dice: 1.1675, decode.d5.loss_cls: 0.8019, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.1686, decode.d6.loss_cls: 0.8015, decode.d6.loss_mask: 0.7501, decode.d6.loss_dice: 1.1554, decode.d7.loss_cls: 0.7979, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7967, decode.d8.loss_mask: 0.7482, decode.d8.loss_dice: 1.1568, loss: 29.3757 2022-04-30 03:46:35,812 - mmseg - INFO - Iter [61050/80000] lr: 3.401e-07, eta: 9:45:33, time: 1.857, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7905, decode.loss_mask: 0.7395, decode.loss_dice: 1.1803, decode.d0.loss_cls: 2.5894, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.3592, decode.d1.loss_cls: 0.8821, decode.d1.loss_mask: 0.7777, decode.d1.loss_dice: 1.2715, decode.d2.loss_cls: 0.8245, decode.d2.loss_mask: 0.7553, decode.d2.loss_dice: 1.2206, decode.d3.loss_cls: 0.8136, decode.d3.loss_mask: 0.7453, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.8074, decode.d4.loss_mask: 0.7448, decode.d4.loss_dice: 1.1934, decode.d5.loss_cls: 0.7998, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1880, decode.d6.loss_cls: 0.7952, decode.d6.loss_mask: 0.7369, decode.d6.loss_dice: 1.1755, decode.d7.loss_cls: 0.7965, decode.d7.loss_mask: 0.7350, decode.d7.loss_dice: 1.1791, decode.d8.loss_cls: 0.7928, decode.d8.loss_mask: 0.7390, decode.d8.loss_dice: 1.1770, loss: 29.5102 2022-04-30 03:48:08,645 - mmseg - INFO - Iter [61100/80000] lr: 3.392e-07, eta: 9:44:01, time: 1.858, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7624, decode.loss_mask: 0.7522, decode.loss_dice: 1.1969, decode.d0.loss_cls: 2.5380, decode.d0.loss_mask: 0.7576, decode.d0.loss_dice: 1.3714, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.2910, decode.d2.loss_cls: 0.7997, decode.d2.loss_mask: 0.7684, decode.d2.loss_dice: 1.2426, decode.d3.loss_cls: 0.7812, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.2161, decode.d4.loss_cls: 0.7758, decode.d4.loss_mask: 0.7614, decode.d4.loss_dice: 1.2131, decode.d5.loss_cls: 0.7688, decode.d5.loss_mask: 0.7592, decode.d5.loss_dice: 1.2087, decode.d6.loss_cls: 0.7637, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.2049, decode.d7.loss_cls: 0.7694, decode.d7.loss_mask: 0.7541, decode.d7.loss_dice: 1.2031, decode.d8.loss_cls: 0.7659, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.2010, loss: 29.5318 2022-04-30 03:49:40,381 - mmseg - INFO - Iter [61150/80000] lr: 3.383e-07, eta: 9:42:28, time: 1.833, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8032, decode.loss_mask: 0.7338, decode.loss_dice: 1.1708, decode.d0.loss_cls: 2.6164, decode.d0.loss_mask: 0.7552, decode.d0.loss_dice: 1.3505, decode.d1.loss_cls: 0.9006, decode.d1.loss_mask: 0.7723, decode.d1.loss_dice: 1.2814, decode.d2.loss_cls: 0.8388, decode.d2.loss_mask: 0.7496, decode.d2.loss_dice: 1.2189, decode.d3.loss_cls: 0.8260, decode.d3.loss_mask: 0.7407, decode.d3.loss_dice: 1.1820, decode.d4.loss_cls: 0.8125, decode.d4.loss_mask: 0.7411, decode.d4.loss_dice: 1.1764, decode.d5.loss_cls: 0.8157, decode.d5.loss_mask: 0.7338, decode.d5.loss_dice: 1.1784, decode.d6.loss_cls: 0.8023, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1691, decode.d7.loss_cls: 0.8037, decode.d7.loss_mask: 0.7340, decode.d7.loss_dice: 1.1677, decode.d8.loss_cls: 0.8019, decode.d8.loss_mask: 0.7343, decode.d8.loss_dice: 1.1678, loss: 29.5147 2022-04-30 03:51:11,988 - mmseg - INFO - Iter [61200/80000] lr: 3.374e-07, eta: 9:40:55, time: 1.834, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7315, decode.loss_mask: 0.7466, decode.loss_dice: 1.1542, decode.d0.loss_cls: 2.5537, decode.d0.loss_mask: 0.7483, decode.d0.loss_dice: 1.3205, decode.d1.loss_cls: 0.8184, decode.d1.loss_mask: 0.7769, decode.d1.loss_dice: 1.2524, decode.d2.loss_cls: 0.7687, decode.d2.loss_mask: 0.7570, decode.d2.loss_dice: 1.1903, decode.d3.loss_cls: 0.7452, decode.d3.loss_mask: 0.7536, decode.d3.loss_dice: 1.1652, decode.d4.loss_cls: 0.7416, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.1574, decode.d5.loss_cls: 0.7337, decode.d5.loss_mask: 0.7513, decode.d5.loss_dice: 1.1613, decode.d6.loss_cls: 0.7312, decode.d6.loss_mask: 0.7496, decode.d6.loss_dice: 1.1498, decode.d7.loss_cls: 0.7300, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7249, decode.d8.loss_mask: 0.7463, decode.d8.loss_dice: 1.1540, loss: 28.6668 2022-04-30 03:52:45,395 - mmseg - INFO - Iter [61250/80000] lr: 3.365e-07, eta: 9:39:22, time: 1.868, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7663, decode.loss_mask: 0.7560, decode.loss_dice: 1.1528, decode.d0.loss_cls: 2.5326, decode.d0.loss_mask: 0.7746, decode.d0.loss_dice: 1.3342, decode.d1.loss_cls: 0.8552, decode.d1.loss_mask: 0.7960, decode.d1.loss_dice: 1.2609, decode.d2.loss_cls: 0.7959, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.2073, decode.d3.loss_cls: 0.7822, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.1818, decode.d4.loss_cls: 0.7760, decode.d4.loss_mask: 0.7686, decode.d4.loss_dice: 1.1852, decode.d5.loss_cls: 0.7703, decode.d5.loss_mask: 0.7601, decode.d5.loss_dice: 1.1766, decode.d6.loss_cls: 0.7662, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.1625, decode.d7.loss_cls: 0.7643, decode.d7.loss_mask: 0.7633, decode.d7.loss_dice: 1.1556, decode.d8.loss_cls: 0.7667, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.1542, loss: 29.2392 2022-04-30 03:54:17,188 - mmseg - INFO - Iter [61300/80000] lr: 3.356e-07, eta: 9:37:49, time: 1.836, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7463, decode.loss_mask: 0.7632, decode.loss_dice: 1.1780, decode.d0.loss_cls: 2.5265, decode.d0.loss_mask: 0.7709, decode.d0.loss_dice: 1.3293, decode.d1.loss_cls: 0.8297, decode.d1.loss_mask: 0.7926, decode.d1.loss_dice: 1.2714, decode.d2.loss_cls: 0.7789, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.2225, decode.d3.loss_cls: 0.7719, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.1868, decode.d4.loss_cls: 0.7609, decode.d4.loss_mask: 0.7738, decode.d4.loss_dice: 1.1876, decode.d5.loss_cls: 0.7570, decode.d5.loss_mask: 0.7664, decode.d5.loss_dice: 1.1817, decode.d6.loss_cls: 0.7514, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.1679, decode.d7.loss_cls: 0.7474, decode.d7.loss_mask: 0.7633, decode.d7.loss_dice: 1.1758, decode.d8.loss_cls: 0.7435, decode.d8.loss_mask: 0.7652, decode.d8.loss_dice: 1.1788, loss: 29.2049 2022-04-30 03:55:49,425 - mmseg - INFO - Iter [61350/80000] lr: 3.347e-07, eta: 9:36:16, time: 1.845, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7957, decode.loss_mask: 0.7424, decode.loss_dice: 1.1645, decode.d0.loss_cls: 2.5648, decode.d0.loss_mask: 0.7552, decode.d0.loss_dice: 1.3463, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2721, decode.d2.loss_cls: 0.8218, decode.d2.loss_mask: 0.7612, decode.d2.loss_dice: 1.2166, decode.d3.loss_cls: 0.8121, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1907, decode.d4.loss_cls: 0.7984, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1885, decode.d5.loss_cls: 0.7978, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.1805, decode.d6.loss_cls: 0.7915, decode.d6.loss_mask: 0.7451, decode.d6.loss_dice: 1.1673, decode.d7.loss_cls: 0.7873, decode.d7.loss_mask: 0.7441, decode.d7.loss_dice: 1.1683, decode.d8.loss_cls: 0.7907, decode.d8.loss_mask: 0.7402, decode.d8.loss_dice: 1.1664, loss: 29.4204 2022-04-30 03:57:21,277 - mmseg - INFO - Iter [61400/80000] lr: 3.338e-07, eta: 9:34:44, time: 1.837, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7765, decode.loss_mask: 0.7523, decode.loss_dice: 1.1330, decode.d0.loss_cls: 2.5553, decode.d0.loss_mask: 0.7752, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 0.8770, decode.d1.loss_mask: 0.7883, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 0.8134, decode.d2.loss_mask: 0.7698, decode.d2.loss_dice: 1.1761, decode.d3.loss_cls: 0.7964, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.1503, decode.d4.loss_cls: 0.7883, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.1495, decode.d5.loss_cls: 0.7812, decode.d5.loss_mask: 0.7581, decode.d5.loss_dice: 1.1438, decode.d6.loss_cls: 0.7774, decode.d6.loss_mask: 0.7562, decode.d6.loss_dice: 1.1360, decode.d7.loss_cls: 0.7695, decode.d7.loss_mask: 0.7545, decode.d7.loss_dice: 1.1335, decode.d8.loss_cls: 0.7772, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.1319, loss: 29.0404 2022-04-30 03:58:54,062 - mmseg - INFO - Iter [61450/80000] lr: 3.329e-07, eta: 9:33:11, time: 1.856, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7892, decode.loss_mask: 0.7606, decode.loss_dice: 1.1503, decode.d0.loss_cls: 2.5550, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.3194, decode.d1.loss_cls: 0.8680, decode.d1.loss_mask: 0.7974, decode.d1.loss_dice: 1.2446, decode.d2.loss_cls: 0.8118, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.1952, decode.d3.loss_cls: 0.8048, decode.d3.loss_mask: 0.7704, decode.d3.loss_dice: 1.1736, decode.d4.loss_cls: 0.7969, decode.d4.loss_mask: 0.7733, decode.d4.loss_dice: 1.1746, decode.d5.loss_cls: 0.7937, decode.d5.loss_mask: 0.7721, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.7925, decode.d6.loss_mask: 0.7650, decode.d6.loss_dice: 1.1456, decode.d7.loss_cls: 0.7897, decode.d7.loss_mask: 0.7662, decode.d7.loss_dice: 1.1540, decode.d8.loss_cls: 0.7846, decode.d8.loss_mask: 0.7665, decode.d8.loss_dice: 1.1500, loss: 29.3947 2022-04-30 04:00:26,678 - mmseg - INFO - Iter [61500/80000] lr: 3.320e-07, eta: 9:31:38, time: 1.852, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7880, decode.loss_mask: 0.7422, decode.loss_dice: 1.1479, decode.d0.loss_cls: 2.5747, decode.d0.loss_mask: 0.7499, decode.d0.loss_dice: 1.3278, decode.d1.loss_cls: 0.8889, decode.d1.loss_mask: 0.7744, decode.d1.loss_dice: 1.2546, decode.d2.loss_cls: 0.8098, decode.d2.loss_mask: 0.7616, decode.d2.loss_dice: 1.2006, decode.d3.loss_cls: 0.7997, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.1785, decode.d4.loss_cls: 0.7924, decode.d4.loss_mask: 0.7472, decode.d4.loss_dice: 1.1716, decode.d5.loss_cls: 0.7886, decode.d5.loss_mask: 0.7438, decode.d5.loss_dice: 1.1643, decode.d6.loss_cls: 0.7849, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7884, decode.d7.loss_mask: 0.7400, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7907, decode.d8.loss_mask: 0.7374, decode.d8.loss_dice: 1.1499, loss: 29.2056 2022-04-30 04:01:58,541 - mmseg - INFO - Iter [61550/80000] lr: 3.311e-07, eta: 9:30:05, time: 1.837, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7375, decode.loss_mask: 0.7578, decode.loss_dice: 1.1412, decode.d0.loss_cls: 2.5122, decode.d0.loss_mask: 0.7645, decode.d0.loss_dice: 1.3007, decode.d1.loss_cls: 0.8356, decode.d1.loss_mask: 0.7922, decode.d1.loss_dice: 1.2333, decode.d2.loss_cls: 0.7678, decode.d2.loss_mask: 0.7766, decode.d2.loss_dice: 1.1851, decode.d3.loss_cls: 0.7597, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.1618, decode.d4.loss_cls: 0.7516, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.1568, decode.d5.loss_cls: 0.7478, decode.d5.loss_mask: 0.7592, decode.d5.loss_dice: 1.1522, decode.d6.loss_cls: 0.7381, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.1437, decode.d7.loss_cls: 0.7394, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.1459, decode.d8.loss_cls: 0.7417, decode.d8.loss_mask: 0.7563, decode.d8.loss_dice: 1.1417, loss: 28.7416 2022-04-30 04:03:33,052 - mmseg - INFO - Iter [61600/80000] lr: 3.303e-07, eta: 9:28:33, time: 1.890, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7955, decode.loss_mask: 0.7329, decode.loss_dice: 1.1698, decode.d0.loss_cls: 2.5658, decode.d0.loss_mask: 0.7409, decode.d0.loss_dice: 1.3546, decode.d1.loss_cls: 0.8892, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.2794, decode.d2.loss_cls: 0.8324, decode.d2.loss_mask: 0.7515, decode.d2.loss_dice: 1.2186, decode.d3.loss_cls: 0.8176, decode.d3.loss_mask: 0.7397, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 0.8003, decode.d4.loss_mask: 0.7403, decode.d4.loss_dice: 1.1873, decode.d5.loss_cls: 0.8010, decode.d5.loss_mask: 0.7406, decode.d5.loss_dice: 1.1755, decode.d6.loss_cls: 0.7969, decode.d6.loss_mask: 0.7362, decode.d6.loss_dice: 1.1663, decode.d7.loss_cls: 0.7956, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1758, decode.d8.loss_cls: 0.7970, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1698, loss: 29.3917 2022-04-30 04:05:04,874 - mmseg - INFO - Iter [61650/80000] lr: 3.294e-07, eta: 9:27:00, time: 1.837, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8051, decode.loss_mask: 0.7571, decode.loss_dice: 1.1775, decode.d0.loss_cls: 2.5248, decode.d0.loss_mask: 0.7782, decode.d0.loss_dice: 1.3670, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.7888, decode.d1.loss_dice: 1.2804, decode.d2.loss_cls: 0.8347, decode.d2.loss_mask: 0.7730, decode.d2.loss_dice: 1.2256, decode.d3.loss_cls: 0.8232, decode.d3.loss_mask: 0.7662, decode.d3.loss_dice: 1.2020, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1970, decode.d5.loss_cls: 0.8062, decode.d5.loss_mask: 0.7681, decode.d5.loss_dice: 1.1937, decode.d6.loss_cls: 0.8030, decode.d6.loss_mask: 0.7598, decode.d6.loss_dice: 1.1816, decode.d7.loss_cls: 0.8015, decode.d7.loss_mask: 0.7576, decode.d7.loss_dice: 1.1816, decode.d8.loss_cls: 0.7989, decode.d8.loss_mask: 0.7549, decode.d8.loss_dice: 1.1780, loss: 29.7473 2022-04-30 04:06:36,542 - mmseg - INFO - Iter [61700/80000] lr: 3.285e-07, eta: 9:25:27, time: 1.833, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7650, decode.loss_mask: 0.7673, decode.loss_dice: 1.1700, decode.d0.loss_cls: 2.4944, decode.d0.loss_mask: 0.7835, decode.d0.loss_dice: 1.3485, decode.d1.loss_cls: 0.8494, decode.d1.loss_mask: 0.8066, decode.d1.loss_dice: 1.2704, decode.d2.loss_cls: 0.7993, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.2154, decode.d3.loss_cls: 0.7840, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.1807, decode.d4.loss_cls: 0.7756, decode.d4.loss_mask: 0.7760, decode.d4.loss_dice: 1.1855, decode.d5.loss_cls: 0.7760, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.1754, decode.d6.loss_cls: 0.7630, decode.d6.loss_mask: 0.7688, decode.d6.loss_dice: 1.1692, decode.d7.loss_cls: 0.7678, decode.d7.loss_mask: 0.7706, decode.d7.loss_dice: 1.1669, decode.d8.loss_cls: 0.7663, decode.d8.loss_mask: 0.7665, decode.d8.loss_dice: 1.1636, loss: 29.3562 2022-04-30 04:08:07,925 - mmseg - INFO - Iter [61750/80000] lr: 3.276e-07, eta: 9:23:54, time: 1.828, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7909, decode.loss_mask: 0.7381, decode.loss_dice: 1.1596, decode.d0.loss_cls: 2.5625, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8778, decode.d1.loss_mask: 0.7719, decode.d1.loss_dice: 1.2491, decode.d2.loss_cls: 0.8239, decode.d2.loss_mask: 0.7498, decode.d2.loss_dice: 1.1956, decode.d3.loss_cls: 0.8068, decode.d3.loss_mask: 0.7445, decode.d3.loss_dice: 1.1739, decode.d4.loss_cls: 0.8014, decode.d4.loss_mask: 0.7446, decode.d4.loss_dice: 1.1712, decode.d5.loss_cls: 0.7967, decode.d5.loss_mask: 0.7409, decode.d5.loss_dice: 1.1666, decode.d6.loss_cls: 0.7929, decode.d6.loss_mask: 0.7339, decode.d6.loss_dice: 1.1602, decode.d7.loss_cls: 0.7915, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1609, decode.d8.loss_cls: 0.7893, decode.d8.loss_mask: 0.7372, decode.d8.loss_dice: 1.1618, loss: 29.2091 2022-04-30 04:09:38,927 - mmseg - INFO - Iter [61800/80000] lr: 3.267e-07, eta: 9:22:21, time: 1.820, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7672, decode.loss_mask: 0.7377, decode.loss_dice: 1.1875, decode.d0.loss_cls: 2.5470, decode.d0.loss_mask: 0.7415, decode.d0.loss_dice: 1.3500, decode.d1.loss_cls: 0.8636, decode.d1.loss_mask: 0.7647, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8006, decode.d2.loss_mask: 0.7554, decode.d2.loss_dice: 1.2245, decode.d3.loss_cls: 0.7876, decode.d3.loss_mask: 0.7466, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.7819, decode.d4.loss_mask: 0.7410, decode.d4.loss_dice: 1.1956, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7410, decode.d5.loss_dice: 1.1949, decode.d6.loss_cls: 0.7747, decode.d6.loss_mask: 0.7380, decode.d6.loss_dice: 1.1817, decode.d7.loss_cls: 0.7668, decode.d7.loss_mask: 0.7396, decode.d7.loss_dice: 1.1914, decode.d8.loss_cls: 0.7679, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.1868, loss: 29.2587 2022-04-30 04:11:09,712 - mmseg - INFO - Iter [61850/80000] lr: 3.258e-07, eta: 9:20:48, time: 1.816, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7399, decode.loss_mask: 0.7668, decode.loss_dice: 1.1521, decode.d0.loss_cls: 2.4834, decode.d0.loss_mask: 0.7818, decode.d0.loss_dice: 1.3153, decode.d1.loss_cls: 0.8396, decode.d1.loss_mask: 0.7987, decode.d1.loss_dice: 1.2455, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.1881, decode.d3.loss_cls: 0.7578, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1617, decode.d4.loss_cls: 0.7460, decode.d4.loss_mask: 0.7789, decode.d4.loss_dice: 1.1593, decode.d5.loss_cls: 0.7466, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.1625, decode.d6.loss_cls: 0.7428, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.1486, decode.d7.loss_cls: 0.7439, decode.d7.loss_mask: 0.7702, decode.d7.loss_dice: 1.1520, decode.d8.loss_cls: 0.7418, decode.d8.loss_mask: 0.7710, decode.d8.loss_dice: 1.1540, loss: 28.9294 2022-04-30 04:12:41,224 - mmseg - INFO - Iter [61900/80000] lr: 3.249e-07, eta: 9:19:14, time: 1.830, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7791, decode.loss_mask: 0.7533, decode.loss_dice: 1.1803, decode.d0.loss_cls: 2.5597, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.3585, decode.d1.loss_cls: 0.8809, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2818, decode.d2.loss_cls: 0.8080, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.2271, decode.d3.loss_cls: 0.8031, decode.d3.loss_mask: 0.7632, decode.d3.loss_dice: 1.2040, decode.d4.loss_cls: 0.7936, decode.d4.loss_mask: 0.7619, decode.d4.loss_dice: 1.1985, decode.d5.loss_cls: 0.7888, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.2008, decode.d6.loss_cls: 0.7859, decode.d6.loss_mask: 0.7557, decode.d6.loss_dice: 1.1886, decode.d7.loss_cls: 0.7861, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1906, decode.d8.loss_cls: 0.7825, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1828, loss: 29.6288 2022-04-30 04:14:12,667 - mmseg - INFO - Iter [61950/80000] lr: 3.240e-07, eta: 9:17:41, time: 1.829, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7700, decode.loss_mask: 0.7493, decode.loss_dice: 1.1458, decode.d0.loss_cls: 2.4941, decode.d0.loss_mask: 0.7570, decode.d0.loss_dice: 1.3120, decode.d1.loss_cls: 0.8526, decode.d1.loss_mask: 0.7828, decode.d1.loss_dice: 1.2330, decode.d2.loss_cls: 0.7943, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.1903, decode.d3.loss_cls: 0.7798, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.1590, decode.d4.loss_cls: 0.7723, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.1620, decode.d5.loss_cls: 0.7778, decode.d5.loss_mask: 0.7527, decode.d5.loss_dice: 1.1571, decode.d6.loss_cls: 0.7670, decode.d6.loss_mask: 0.7497, decode.d6.loss_dice: 1.1444, decode.d7.loss_cls: 0.7686, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.1476, decode.d8.loss_cls: 0.7699, decode.d8.loss_mask: 0.7481, decode.d8.loss_dice: 1.1419, loss: 28.9127 2022-04-30 04:15:43,940 - mmseg - INFO - Saving checkpoint at 62000 iterations 2022-04-30 04:16:02,425 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 04:16:02,440 - mmseg - INFO - Iter [62000/80000] lr: 3.231e-07, eta: 9:16:14, time: 2.193, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7379, decode.loss_mask: 0.7545, decode.loss_dice: 1.1461, decode.d0.loss_cls: 2.4873, decode.d0.loss_mask: 0.7631, decode.d0.loss_dice: 1.3090, decode.d1.loss_cls: 0.8226, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2469, decode.d2.loss_cls: 0.7786, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.1952, decode.d3.loss_cls: 0.7570, decode.d3.loss_mask: 0.7687, decode.d3.loss_dice: 1.1711, decode.d4.loss_cls: 0.7544, decode.d4.loss_mask: 0.7641, decode.d4.loss_dice: 1.1665, decode.d5.loss_cls: 0.7498, decode.d5.loss_mask: 0.7578, decode.d5.loss_dice: 1.1577, decode.d6.loss_cls: 0.7429, decode.d6.loss_mask: 0.7549, decode.d6.loss_dice: 1.1471, decode.d7.loss_cls: 0.7421, decode.d7.loss_mask: 0.7554, decode.d7.loss_dice: 1.1489, decode.d8.loss_cls: 0.7420, decode.d8.loss_mask: 0.7525, decode.d8.loss_dice: 1.1476, loss: 28.7798 2022-04-30 04:17:35,994 - mmseg - INFO - Iter [62050/80000] lr: 3.222e-07, eta: 9:14:41, time: 1.874, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7673, decode.loss_mask: 0.7705, decode.loss_dice: 1.1867, decode.d0.loss_cls: 2.4950, decode.d0.loss_mask: 0.7820, decode.d0.loss_dice: 1.3623, decode.d1.loss_cls: 0.8535, decode.d1.loss_mask: 0.8052, decode.d1.loss_dice: 1.2881, decode.d2.loss_cls: 0.7947, decode.d2.loss_mask: 0.7860, decode.d2.loss_dice: 1.2387, decode.d3.loss_cls: 0.7815, decode.d3.loss_mask: 0.7793, decode.d3.loss_dice: 1.2077, decode.d4.loss_cls: 0.7777, decode.d4.loss_mask: 0.7733, decode.d4.loss_dice: 1.2036, decode.d5.loss_cls: 0.7747, decode.d5.loss_mask: 0.7719, decode.d5.loss_dice: 1.1985, decode.d6.loss_cls: 0.7757, decode.d6.loss_mask: 0.7678, decode.d6.loss_dice: 1.1833, decode.d7.loss_cls: 0.7674, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7704, decode.d8.loss_dice: 1.1876, loss: 29.5674 2022-04-30 04:19:07,245 - mmseg - INFO - Iter [62100/80000] lr: 3.213e-07, eta: 9:13:08, time: 1.825, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7176, decode.loss_mask: 0.7536, decode.loss_dice: 1.1546, decode.d0.loss_cls: 2.4901, decode.d0.loss_mask: 0.7653, decode.d0.loss_dice: 1.3223, decode.d1.loss_cls: 0.8111, decode.d1.loss_mask: 0.7762, decode.d1.loss_dice: 1.2482, decode.d2.loss_cls: 0.7554, decode.d2.loss_mask: 0.7650, decode.d2.loss_dice: 1.2026, decode.d3.loss_cls: 0.7449, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1764, decode.d4.loss_cls: 0.7372, decode.d4.loss_mask: 0.7587, decode.d4.loss_dice: 1.1710, decode.d5.loss_cls: 0.7306, decode.d5.loss_mask: 0.7545, decode.d5.loss_dice: 1.1615, decode.d6.loss_cls: 0.7228, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.1547, decode.d7.loss_cls: 0.7217, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1500, decode.d8.loss_cls: 0.7172, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.1535, loss: 28.6391 2022-04-30 04:20:39,080 - mmseg - INFO - Iter [62150/80000] lr: 3.204e-07, eta: 9:11:35, time: 1.837, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7720, decode.loss_mask: 0.7512, decode.loss_dice: 1.2000, decode.d0.loss_cls: 2.5300, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3700, decode.d1.loss_cls: 0.8663, decode.d1.loss_mask: 0.7821, decode.d1.loss_dice: 1.2991, decode.d2.loss_cls: 0.8127, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.2352, decode.d3.loss_cls: 0.7921, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.2135, decode.d4.loss_cls: 0.7828, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.2129, decode.d5.loss_cls: 0.7848, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.2071, decode.d6.loss_cls: 0.7818, decode.d6.loss_mask: 0.7498, decode.d6.loss_dice: 1.1936, decode.d7.loss_cls: 0.7762, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1984, decode.d8.loss_cls: 0.7796, decode.d8.loss_mask: 0.7485, decode.d8.loss_dice: 1.1943, loss: 29.5869 2022-04-30 04:22:12,052 - mmseg - INFO - Iter [62200/80000] lr: 3.195e-07, eta: 9:10:03, time: 1.859, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7517, decode.loss_mask: 0.7432, decode.loss_dice: 1.1509, decode.d0.loss_cls: 2.5437, decode.d0.loss_mask: 0.7547, decode.d0.loss_dice: 1.3247, decode.d1.loss_cls: 0.8470, decode.d1.loss_mask: 0.7780, decode.d1.loss_dice: 1.2469, decode.d2.loss_cls: 0.7864, decode.d2.loss_mask: 0.7655, decode.d2.loss_dice: 1.2047, decode.d3.loss_cls: 0.7661, decode.d3.loss_mask: 0.7577, decode.d3.loss_dice: 1.1782, decode.d4.loss_cls: 0.7589, decode.d4.loss_mask: 0.7533, decode.d4.loss_dice: 1.1733, decode.d5.loss_cls: 0.7548, decode.d5.loss_mask: 0.7512, decode.d5.loss_dice: 1.1622, decode.d6.loss_cls: 0.7595, decode.d6.loss_mask: 0.7488, decode.d6.loss_dice: 1.1542, decode.d7.loss_cls: 0.7529, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.7572, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.1499, loss: 28.9257 2022-04-30 04:23:44,649 - mmseg - INFO - Iter [62250/80000] lr: 3.186e-07, eta: 9:08:30, time: 1.852, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7611, decode.loss_mask: 0.7570, decode.loss_dice: 1.1441, decode.d0.loss_cls: 2.5203, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3290, decode.d1.loss_cls: 0.8495, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2427, decode.d2.loss_cls: 0.7952, decode.d2.loss_mask: 0.7752, decode.d2.loss_dice: 1.1889, decode.d3.loss_cls: 0.7781, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.1610, decode.d4.loss_cls: 0.7736, decode.d4.loss_mask: 0.7644, decode.d4.loss_dice: 1.1594, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7634, decode.d5.loss_dice: 1.1473, decode.d6.loss_cls: 0.7650, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.7624, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.1408, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.1360, loss: 28.9934 2022-04-30 04:25:17,383 - mmseg - INFO - Iter [62300/80000] lr: 3.177e-07, eta: 9:06:57, time: 1.855, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7497, decode.loss_mask: 0.7469, decode.loss_dice: 1.1493, decode.d0.loss_cls: 2.5288, decode.d0.loss_mask: 0.7569, decode.d0.loss_dice: 1.3216, decode.d1.loss_cls: 0.8410, decode.d1.loss_mask: 0.7759, decode.d1.loss_dice: 1.2500, decode.d2.loss_cls: 0.7880, decode.d2.loss_mask: 0.7623, decode.d2.loss_dice: 1.1994, decode.d3.loss_cls: 0.7637, decode.d3.loss_mask: 0.7575, decode.d3.loss_dice: 1.1727, decode.d4.loss_cls: 0.7527, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1700, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7498, decode.d5.loss_dice: 1.1662, decode.d6.loss_cls: 0.7490, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.7483, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.1591, decode.d8.loss_cls: 0.7474, decode.d8.loss_mask: 0.7512, decode.d8.loss_dice: 1.1503, loss: 28.8629 2022-04-30 04:26:49,640 - mmseg - INFO - Iter [62350/80000] lr: 3.168e-07, eta: 9:05:24, time: 1.845, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7363, decode.loss_mask: 0.7267, decode.loss_dice: 1.1277, decode.d0.loss_cls: 2.4983, decode.d0.loss_mask: 0.7366, decode.d0.loss_dice: 1.3042, decode.d1.loss_cls: 0.8220, decode.d1.loss_mask: 0.7604, decode.d1.loss_dice: 1.2255, decode.d2.loss_cls: 0.7685, decode.d2.loss_mask: 0.7400, decode.d2.loss_dice: 1.1789, decode.d3.loss_cls: 0.7559, decode.d3.loss_mask: 0.7297, decode.d3.loss_dice: 1.1540, decode.d4.loss_cls: 0.7510, decode.d4.loss_mask: 0.7288, decode.d4.loss_dice: 1.1510, decode.d5.loss_cls: 0.7447, decode.d5.loss_mask: 0.7277, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.7372, decode.d6.loss_mask: 0.7254, decode.d6.loss_dice: 1.1293, decode.d7.loss_cls: 0.7318, decode.d7.loss_mask: 0.7271, decode.d7.loss_dice: 1.1326, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7267, decode.d8.loss_dice: 1.1343, loss: 28.2916 2022-04-30 04:28:21,279 - mmseg - INFO - Iter [62400/80000] lr: 3.159e-07, eta: 9:03:51, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7920, decode.loss_mask: 0.7400, decode.loss_dice: 1.1770, decode.d0.loss_cls: 2.6111, decode.d0.loss_mask: 0.7581, decode.d0.loss_dice: 1.3699, decode.d1.loss_cls: 0.8867, decode.d1.loss_mask: 0.7813, decode.d1.loss_dice: 1.2878, decode.d2.loss_cls: 0.8320, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.2305, decode.d3.loss_cls: 0.8103, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.2033, decode.d4.loss_cls: 0.8031, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.2010, decode.d5.loss_cls: 0.7990, decode.d5.loss_mask: 0.7458, decode.d5.loss_dice: 1.1908, decode.d6.loss_cls: 0.7991, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1816, decode.d7.loss_cls: 0.7899, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1812, decode.d8.loss_cls: 0.7994, decode.d8.loss_mask: 0.7405, decode.d8.loss_dice: 1.1797, loss: 29.6371 2022-04-30 04:29:52,532 - mmseg - INFO - Iter [62450/80000] lr: 3.150e-07, eta: 9:02:18, time: 1.826, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8032, decode.loss_mask: 0.7373, decode.loss_dice: 1.1401, decode.d0.loss_cls: 2.5618, decode.d0.loss_mask: 0.7558, decode.d0.loss_dice: 1.3230, decode.d1.loss_cls: 0.8895, decode.d1.loss_mask: 0.7710, decode.d1.loss_dice: 1.2438, decode.d2.loss_cls: 0.8368, decode.d2.loss_mask: 0.7535, decode.d2.loss_dice: 1.1857, decode.d3.loss_cls: 0.8243, decode.d3.loss_mask: 0.7424, decode.d3.loss_dice: 1.1563, decode.d4.loss_cls: 0.8118, decode.d4.loss_mask: 0.7431, decode.d4.loss_dice: 1.1579, decode.d5.loss_cls: 0.8103, decode.d5.loss_mask: 0.7407, decode.d5.loss_dice: 1.1488, decode.d6.loss_cls: 0.8043, decode.d6.loss_mask: 0.7405, decode.d6.loss_dice: 1.1381, decode.d7.loss_cls: 0.8024, decode.d7.loss_mask: 0.7375, decode.d7.loss_dice: 1.1348, decode.d8.loss_cls: 0.7992, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.1336, loss: 29.1661 2022-04-30 04:31:24,910 - mmseg - INFO - Iter [62500/80000] lr: 3.141e-07, eta: 9:00:45, time: 1.848, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7419, decode.loss_mask: 0.7494, decode.loss_dice: 1.1549, decode.d0.loss_cls: 2.4815, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.3255, decode.d1.loss_cls: 0.8249, decode.d1.loss_mask: 0.7894, decode.d1.loss_dice: 1.2657, decode.d2.loss_cls: 0.7699, decode.d2.loss_mask: 0.7732, decode.d2.loss_dice: 1.2010, decode.d3.loss_cls: 0.7552, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.1770, decode.d4.loss_cls: 0.7517, decode.d4.loss_mask: 0.7600, decode.d4.loss_dice: 1.1684, decode.d5.loss_cls: 0.7510, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1677, decode.d6.loss_cls: 0.7364, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1560, decode.d7.loss_cls: 0.7418, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1597, decode.d8.loss_cls: 0.7396, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.1547, loss: 28.8536 2022-04-30 04:32:57,394 - mmseg - INFO - Iter [62550/80000] lr: 3.132e-07, eta: 8:59:13, time: 1.850, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7803, decode.loss_mask: 0.7602, decode.loss_dice: 1.1668, decode.d0.loss_cls: 2.5745, decode.d0.loss_mask: 0.7760, decode.d0.loss_dice: 1.3486, decode.d1.loss_cls: 0.8778, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.2868, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7855, decode.d2.loss_dice: 1.2145, decode.d3.loss_cls: 0.7947, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.1856, decode.d4.loss_cls: 0.7873, decode.d4.loss_mask: 0.7696, decode.d4.loss_dice: 1.1899, decode.d5.loss_cls: 0.7900, decode.d5.loss_mask: 0.7656, decode.d5.loss_dice: 1.1787, decode.d6.loss_cls: 0.7875, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.1688, decode.d7.loss_cls: 0.7788, decode.d7.loss_mask: 0.7620, decode.d7.loss_dice: 1.1713, decode.d8.loss_cls: 0.7781, decode.d8.loss_mask: 0.7639, decode.d8.loss_dice: 1.1686, loss: 29.5615 2022-04-30 04:34:27,657 - mmseg - INFO - Iter [62600/80000] lr: 3.123e-07, eta: 8:57:39, time: 1.805, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7941, decode.loss_mask: 0.7305, decode.loss_dice: 1.1638, decode.d0.loss_cls: 2.5834, decode.d0.loss_mask: 0.7508, decode.d0.loss_dice: 1.3345, decode.d1.loss_cls: 0.8934, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.2699, decode.d2.loss_cls: 0.8265, decode.d2.loss_mask: 0.7545, decode.d2.loss_dice: 1.2182, decode.d3.loss_cls: 0.8073, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.1904, decode.d4.loss_cls: 0.8054, decode.d4.loss_mask: 0.7381, decode.d4.loss_dice: 1.1815, decode.d5.loss_cls: 0.8046, decode.d5.loss_mask: 0.7332, decode.d5.loss_dice: 1.1745, decode.d6.loss_cls: 0.7966, decode.d6.loss_mask: 0.7307, decode.d6.loss_dice: 1.1703, decode.d7.loss_cls: 0.7940, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.1665, decode.d8.loss_cls: 0.7904, decode.d8.loss_mask: 0.7307, decode.d8.loss_dice: 1.1629, loss: 29.3341 2022-04-30 04:36:01,616 - mmseg - INFO - Iter [62650/80000] lr: 3.114e-07, eta: 8:56:07, time: 1.879, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7814, decode.loss_mask: 0.7461, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.4994, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.3328, decode.d1.loss_cls: 0.8611, decode.d1.loss_mask: 0.7881, decode.d1.loss_dice: 1.2584, decode.d2.loss_cls: 0.8093, decode.d2.loss_mask: 0.7697, decode.d2.loss_dice: 1.2104, decode.d3.loss_cls: 0.7987, decode.d3.loss_mask: 0.7550, decode.d3.loss_dice: 1.1767, decode.d4.loss_cls: 0.7849, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.1771, decode.d5.loss_cls: 0.7826, decode.d5.loss_mask: 0.7512, decode.d5.loss_dice: 1.1697, decode.d6.loss_cls: 0.7804, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.1619, decode.d7.loss_cls: 0.7777, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.1652, decode.d8.loss_cls: 0.7752, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.1602, loss: 29.1970 2022-04-30 04:37:32,808 - mmseg - INFO - Iter [62700/80000] lr: 3.105e-07, eta: 8:54:34, time: 1.824, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7871, decode.loss_mask: 0.7738, decode.loss_dice: 1.1790, decode.d0.loss_cls: 2.5162, decode.d0.loss_mask: 0.7831, decode.d0.loss_dice: 1.3581, decode.d1.loss_cls: 0.8662, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.2807, decode.d2.loss_cls: 0.7970, decode.d2.loss_mask: 0.7903, decode.d2.loss_dice: 1.2278, decode.d3.loss_cls: 0.7876, decode.d3.loss_mask: 0.7843, decode.d3.loss_dice: 1.2031, decode.d4.loss_cls: 0.7859, decode.d4.loss_mask: 0.7796, decode.d4.loss_dice: 1.1992, decode.d5.loss_cls: 0.7811, decode.d5.loss_mask: 0.7771, decode.d5.loss_dice: 1.1907, decode.d6.loss_cls: 0.7842, decode.d6.loss_mask: 0.7728, decode.d6.loss_dice: 1.1834, decode.d7.loss_cls: 0.7816, decode.d7.loss_mask: 0.7727, decode.d7.loss_dice: 1.1845, decode.d8.loss_cls: 0.7819, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.1794, loss: 29.6531 2022-04-30 04:39:05,018 - mmseg - INFO - Iter [62750/80000] lr: 3.096e-07, eta: 8:53:01, time: 1.844, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7969, decode.loss_mask: 0.7505, decode.loss_dice: 1.1714, decode.d0.loss_cls: 2.5711, decode.d0.loss_mask: 0.7675, decode.d0.loss_dice: 1.3597, decode.d1.loss_cls: 0.8977, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.2738, decode.d2.loss_cls: 0.8361, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.2205, decode.d3.loss_cls: 0.8197, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.1874, decode.d4.loss_cls: 0.8158, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.1848, decode.d5.loss_cls: 0.8101, decode.d5.loss_mask: 0.7574, decode.d5.loss_dice: 1.1792, decode.d6.loss_cls: 0.8025, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1759, decode.d7.loss_cls: 0.8032, decode.d7.loss_mask: 0.7528, decode.d7.loss_dice: 1.1740, decode.d8.loss_cls: 0.8047, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1722, loss: 29.6661 2022-04-30 04:40:37,369 - mmseg - INFO - Iter [62800/80000] lr: 3.087e-07, eta: 8:51:28, time: 1.847, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7307, decode.loss_mask: 0.7477, decode.loss_dice: 1.1534, decode.d0.loss_cls: 2.4744, decode.d0.loss_mask: 0.7455, decode.d0.loss_dice: 1.3183, decode.d1.loss_cls: 0.8279, decode.d1.loss_mask: 0.7741, decode.d1.loss_dice: 1.2554, decode.d2.loss_cls: 0.7732, decode.d2.loss_mask: 0.7628, decode.d2.loss_dice: 1.2045, decode.d3.loss_cls: 0.7549, decode.d3.loss_mask: 0.7568, decode.d3.loss_dice: 1.1831, decode.d4.loss_cls: 0.7449, decode.d4.loss_mask: 0.7590, decode.d4.loss_dice: 1.1779, decode.d5.loss_cls: 0.7471, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.1767, decode.d6.loss_cls: 0.7333, decode.d6.loss_mask: 0.7502, decode.d6.loss_dice: 1.1645, decode.d7.loss_cls: 0.7306, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1592, decode.d8.loss_cls: 0.7294, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.1566, loss: 28.7471 2022-04-30 04:42:09,950 - mmseg - INFO - Iter [62850/80000] lr: 3.078e-07, eta: 8:49:55, time: 1.852, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7636, decode.loss_mask: 0.7520, decode.loss_dice: 1.1822, decode.d0.loss_cls: 2.5209, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.3300, decode.d1.loss_cls: 0.8572, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8007, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.2206, decode.d3.loss_cls: 0.7843, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 0.7747, decode.d4.loss_mask: 0.7547, decode.d4.loss_dice: 1.1871, decode.d5.loss_cls: 0.7824, decode.d5.loss_mask: 0.7513, decode.d5.loss_dice: 1.1883, decode.d6.loss_cls: 0.7604, decode.d6.loss_mask: 0.7502, decode.d6.loss_dice: 1.1812, decode.d7.loss_cls: 0.7621, decode.d7.loss_mask: 0.7512, decode.d7.loss_dice: 1.1815, decode.d8.loss_cls: 0.7611, decode.d8.loss_mask: 0.7498, decode.d8.loss_dice: 1.1838, loss: 29.2401 2022-04-30 04:43:43,075 - mmseg - INFO - Iter [62900/80000] lr: 3.069e-07, eta: 8:48:23, time: 1.862, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7827, decode.loss_mask: 0.7535, decode.loss_dice: 1.1588, decode.d0.loss_cls: 2.5084, decode.d0.loss_mask: 0.7607, decode.d0.loss_dice: 1.3314, decode.d1.loss_cls: 0.8696, decode.d1.loss_mask: 0.7857, decode.d1.loss_dice: 1.2601, decode.d2.loss_cls: 0.8111, decode.d2.loss_mask: 0.7727, decode.d2.loss_dice: 1.2194, decode.d3.loss_cls: 0.7952, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.1793, decode.d4.loss_cls: 0.7862, decode.d4.loss_mask: 0.7641, decode.d4.loss_dice: 1.1807, decode.d5.loss_cls: 0.7863, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1739, decode.d6.loss_cls: 0.7793, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.1681, decode.d7.loss_cls: 0.7806, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1663, decode.d8.loss_cls: 0.7773, decode.d8.loss_mask: 0.7551, decode.d8.loss_dice: 1.1661, loss: 29.3022 2022-04-30 04:45:14,849 - mmseg - INFO - Iter [62950/80000] lr: 3.060e-07, eta: 8:46:50, time: 1.836, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7937, decode.loss_mask: 0.7528, decode.loss_dice: 1.1827, decode.d0.loss_cls: 2.5425, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.3586, decode.d1.loss_cls: 0.9012, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.2860, decode.d2.loss_cls: 0.8230, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2304, decode.d3.loss_cls: 0.8128, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.2031, decode.d4.loss_cls: 0.7990, decode.d4.loss_mask: 0.7506, decode.d4.loss_dice: 1.2065, decode.d5.loss_cls: 0.8026, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1916, decode.d6.loss_cls: 0.7910, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1855, decode.d7.loss_cls: 0.7909, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.1846, decode.d8.loss_cls: 0.7898, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1842, loss: 29.6118 2022-04-30 04:46:46,804 - mmseg - INFO - Saving checkpoint at 63000 iterations 2022-04-30 04:47:10,359 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 04:47:10,372 - mmseg - INFO - Iter [63000/80000] lr: 3.051e-07, eta: 8:45:23, time: 2.307, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7957, decode.loss_mask: 0.7393, decode.loss_dice: 1.1371, decode.d0.loss_cls: 2.5766, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 0.9009, decode.d1.loss_mask: 0.7704, decode.d1.loss_dice: 1.2343, decode.d2.loss_cls: 0.8398, decode.d2.loss_mask: 0.7540, decode.d2.loss_dice: 1.1793, decode.d3.loss_cls: 0.8185, decode.d3.loss_mask: 0.7515, decode.d3.loss_dice: 1.1577, decode.d4.loss_cls: 0.8090, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.1557, decode.d5.loss_cls: 0.8039, decode.d5.loss_mask: 0.7438, decode.d5.loss_dice: 1.1495, decode.d6.loss_cls: 0.8079, decode.d6.loss_mask: 0.7392, decode.d6.loss_dice: 1.1403, decode.d7.loss_cls: 0.8017, decode.d7.loss_mask: 0.7395, decode.d7.loss_dice: 1.1464, decode.d8.loss_cls: 0.7991, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.1399, loss: 29.1994 2022-04-30 04:48:43,121 - mmseg - INFO - Iter [63050/80000] lr: 3.042e-07, eta: 8:43:51, time: 1.857, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7563, decode.loss_mask: 0.7631, decode.loss_dice: 1.1398, decode.d0.loss_cls: 2.4915, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.3142, decode.d1.loss_cls: 0.8518, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2401, decode.d2.loss_cls: 0.7931, decode.d2.loss_mask: 0.7832, decode.d2.loss_dice: 1.1926, decode.d3.loss_cls: 0.7741, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.1716, decode.d4.loss_cls: 0.7686, decode.d4.loss_mask: 0.7760, decode.d4.loss_dice: 1.1639, decode.d5.loss_cls: 0.7667, decode.d5.loss_mask: 0.7719, decode.d5.loss_dice: 1.1482, decode.d6.loss_cls: 0.7666, decode.d6.loss_mask: 0.7690, decode.d6.loss_dice: 1.1453, decode.d7.loss_cls: 0.7519, decode.d7.loss_mask: 0.7675, decode.d7.loss_dice: 1.1449, decode.d8.loss_cls: 0.7592, decode.d8.loss_mask: 0.7614, decode.d8.loss_dice: 1.1386, loss: 29.0173 2022-04-30 04:50:16,564 - mmseg - INFO - Iter [63100/80000] lr: 3.033e-07, eta: 8:42:18, time: 1.870, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7797, decode.loss_mask: 0.7323, decode.loss_dice: 1.1510, decode.d0.loss_cls: 2.5494, decode.d0.loss_mask: 0.7483, decode.d0.loss_dice: 1.3303, decode.d1.loss_cls: 0.8873, decode.d1.loss_mask: 0.7670, decode.d1.loss_dice: 1.2522, decode.d2.loss_cls: 0.8253, decode.d2.loss_mask: 0.7504, decode.d2.loss_dice: 1.2038, decode.d3.loss_cls: 0.8061, decode.d3.loss_mask: 0.7346, decode.d3.loss_dice: 1.1725, decode.d4.loss_cls: 0.7997, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.1739, decode.d5.loss_cls: 0.7916, decode.d5.loss_mask: 0.7330, decode.d5.loss_dice: 1.1599, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7355, decode.d6.loss_dice: 1.1529, decode.d7.loss_cls: 0.7790, decode.d7.loss_mask: 0.7318, decode.d7.loss_dice: 1.1550, decode.d8.loss_cls: 0.7817, decode.d8.loss_mask: 0.7334, decode.d8.loss_dice: 1.1524, loss: 29.0861 2022-04-30 04:51:49,435 - mmseg - INFO - Iter [63150/80000] lr: 3.024e-07, eta: 8:40:45, time: 1.857, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7749, decode.loss_mask: 0.7499, decode.loss_dice: 1.1507, decode.d0.loss_cls: 2.5395, decode.d0.loss_mask: 0.7720, decode.d0.loss_dice: 1.3340, decode.d1.loss_cls: 0.8666, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.2462, decode.d2.loss_cls: 0.8101, decode.d2.loss_mask: 0.7767, decode.d2.loss_dice: 1.2024, decode.d3.loss_cls: 0.7998, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1808, decode.d4.loss_cls: 0.7904, decode.d4.loss_mask: 0.7582, decode.d4.loss_dice: 1.1729, decode.d5.loss_cls: 0.7864, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.1638, decode.d6.loss_cls: 0.7829, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7532, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.7809, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.1521, loss: 29.2489 2022-04-30 04:53:21,538 - mmseg - INFO - Iter [63200/80000] lr: 3.015e-07, eta: 8:39:13, time: 1.842, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7555, decode.loss_mask: 0.7602, decode.loss_dice: 1.1619, decode.d0.loss_cls: 2.4971, decode.d0.loss_mask: 0.7805, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.8280, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2689, decode.d2.loss_cls: 0.7825, decode.d2.loss_mask: 0.7809, decode.d2.loss_dice: 1.2135, decode.d3.loss_cls: 0.7708, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1863, decode.d4.loss_cls: 0.7631, decode.d4.loss_mask: 0.7678, decode.d4.loss_dice: 1.1878, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7633, decode.d5.loss_dice: 1.1738, decode.d6.loss_cls: 0.7619, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.1655, decode.d7.loss_cls: 0.7581, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.1645, decode.d8.loss_cls: 0.7528, decode.d8.loss_mask: 0.7598, decode.d8.loss_dice: 1.1706, loss: 29.1500 2022-04-30 04:54:55,841 - mmseg - INFO - Iter [63250/80000] lr: 3.006e-07, eta: 8:37:40, time: 1.886, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7896, decode.loss_mask: 0.7448, decode.loss_dice: 1.1742, decode.d0.loss_cls: 2.5371, decode.d0.loss_mask: 0.7670, decode.d0.loss_dice: 1.3546, decode.d1.loss_cls: 0.8687, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.2824, decode.d2.loss_cls: 0.8165, decode.d2.loss_mask: 0.7623, decode.d2.loss_dice: 1.2314, decode.d3.loss_cls: 0.8047, decode.d3.loss_mask: 0.7531, decode.d3.loss_dice: 1.2027, decode.d4.loss_cls: 0.8022, decode.d4.loss_mask: 0.7501, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 0.7986, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.1892, decode.d6.loss_cls: 0.7917, decode.d6.loss_mask: 0.7451, decode.d6.loss_dice: 1.1742, decode.d7.loss_cls: 0.7890, decode.d7.loss_mask: 0.7449, decode.d7.loss_dice: 1.1786, decode.d8.loss_cls: 0.7897, decode.d8.loss_mask: 0.7442, decode.d8.loss_dice: 1.1785, loss: 29.4976 2022-04-30 04:56:27,529 - mmseg - INFO - Iter [63300/80000] lr: 2.997e-07, eta: 8:36:07, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7932, decode.loss_mask: 0.7367, decode.loss_dice: 1.1405, decode.d0.loss_cls: 2.5497, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.3177, decode.d1.loss_cls: 0.8787, decode.d1.loss_mask: 0.7730, decode.d1.loss_dice: 1.2496, decode.d2.loss_cls: 0.8255, decode.d2.loss_mask: 0.7537, decode.d2.loss_dice: 1.1880, decode.d3.loss_cls: 0.8095, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.1639, decode.d4.loss_cls: 0.8019, decode.d4.loss_mask: 0.7453, decode.d4.loss_dice: 1.1578, decode.d5.loss_cls: 0.7923, decode.d5.loss_mask: 0.7457, decode.d5.loss_dice: 1.1529, decode.d6.loss_cls: 0.7910, decode.d6.loss_mask: 0.7403, decode.d6.loss_dice: 1.1456, decode.d7.loss_cls: 0.7916, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.1424, decode.d8.loss_cls: 0.7919, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.1397, loss: 29.0921 2022-04-30 04:57:59,831 - mmseg - INFO - Iter [63350/80000] lr: 2.988e-07, eta: 8:34:34, time: 1.848, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7857, decode.loss_mask: 0.7543, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.5787, decode.d0.loss_mask: 0.7761, decode.d0.loss_dice: 1.3450, decode.d1.loss_cls: 0.8808, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8194, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.2183, decode.d3.loss_cls: 0.8026, decode.d3.loss_mask: 0.7636, decode.d3.loss_dice: 1.1886, decode.d4.loss_cls: 0.7899, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.1909, decode.d5.loss_cls: 0.7915, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.1824, decode.d6.loss_cls: 0.7883, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1709, decode.d7.loss_cls: 0.7863, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.1722, decode.d8.loss_cls: 0.7905, decode.d8.loss_mask: 0.7555, decode.d8.loss_dice: 1.1692, loss: 29.5467 2022-04-30 04:59:33,148 - mmseg - INFO - Iter [63400/80000] lr: 2.979e-07, eta: 8:33:02, time: 1.866, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7661, decode.loss_mask: 0.7376, decode.loss_dice: 1.1348, decode.d0.loss_cls: 2.5505, decode.d0.loss_mask: 0.7475, decode.d0.loss_dice: 1.3152, decode.d1.loss_cls: 0.8623, decode.d1.loss_mask: 0.7694, decode.d1.loss_dice: 1.2385, decode.d2.loss_cls: 0.7967, decode.d2.loss_mask: 0.7548, decode.d2.loss_dice: 1.1792, decode.d3.loss_cls: 0.7831, decode.d3.loss_mask: 0.7456, decode.d3.loss_dice: 1.1586, decode.d4.loss_cls: 0.7776, decode.d4.loss_mask: 0.7485, decode.d4.loss_dice: 1.1566, decode.d5.loss_cls: 0.7741, decode.d5.loss_mask: 0.7454, decode.d5.loss_dice: 1.1458, decode.d6.loss_cls: 0.7681, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1376, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7359, decode.d7.loss_dice: 1.1328, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1377, loss: 28.8038 2022-04-30 05:01:06,711 - mmseg - INFO - Iter [63450/80000] lr: 2.970e-07, eta: 8:31:29, time: 1.871, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7805, decode.loss_mask: 0.7454, decode.loss_dice: 1.1250, decode.d0.loss_cls: 2.5326, decode.d0.loss_mask: 0.7636, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 0.8576, decode.d1.loss_mask: 0.7809, decode.d1.loss_dice: 1.2314, decode.d2.loss_cls: 0.8055, decode.d2.loss_mask: 0.7683, decode.d2.loss_dice: 1.1748, decode.d3.loss_cls: 0.7927, decode.d3.loss_mask: 0.7612, decode.d3.loss_dice: 1.1412, decode.d4.loss_cls: 0.7872, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1465, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1401, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7489, decode.d6.loss_dice: 1.1295, decode.d7.loss_cls: 0.7800, decode.d7.loss_mask: 0.7472, decode.d7.loss_dice: 1.1288, decode.d8.loss_cls: 0.7804, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.1247, loss: 28.9145 2022-04-30 05:02:39,477 - mmseg - INFO - Iter [63500/80000] lr: 2.962e-07, eta: 8:29:57, time: 1.855, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7349, decode.loss_mask: 0.7374, decode.loss_dice: 1.1309, decode.d0.loss_cls: 2.4456, decode.d0.loss_mask: 0.7548, decode.d0.loss_dice: 1.3024, decode.d1.loss_cls: 0.8267, decode.d1.loss_mask: 0.7787, decode.d1.loss_dice: 1.2298, decode.d2.loss_cls: 0.7691, decode.d2.loss_mask: 0.7636, decode.d2.loss_dice: 1.1781, decode.d3.loss_cls: 0.7496, decode.d3.loss_mask: 0.7510, decode.d3.loss_dice: 1.1526, decode.d4.loss_cls: 0.7429, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.1486, decode.d5.loss_cls: 0.7396, decode.d5.loss_mask: 0.7497, decode.d5.loss_dice: 1.1499, decode.d6.loss_cls: 0.7387, decode.d6.loss_mask: 0.7440, decode.d6.loss_dice: 1.1409, decode.d7.loss_cls: 0.7355, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1380, decode.d8.loss_cls: 0.7368, decode.d8.loss_mask: 0.7424, decode.d8.loss_dice: 1.1308, loss: 28.4382 2022-04-30 05:04:11,947 - mmseg - INFO - Iter [63550/80000] lr: 2.953e-07, eta: 8:28:24, time: 1.849, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7595, decode.loss_mask: 0.7703, decode.loss_dice: 1.1570, decode.d0.loss_cls: 2.5261, decode.d0.loss_mask: 0.7886, decode.d0.loss_dice: 1.3404, decode.d1.loss_cls: 0.8412, decode.d1.loss_mask: 0.7984, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.7825, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.1950, decode.d3.loss_cls: 0.7699, decode.d3.loss_mask: 0.7797, decode.d3.loss_dice: 1.1737, decode.d4.loss_cls: 0.7619, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.1704, decode.d5.loss_cls: 0.7633, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.1688, decode.d6.loss_cls: 0.7533, decode.d6.loss_mask: 0.7722, decode.d6.loss_dice: 1.1571, decode.d7.loss_cls: 0.7563, decode.d7.loss_mask: 0.7683, decode.d7.loss_dice: 1.1576, decode.d8.loss_cls: 0.7538, decode.d8.loss_mask: 0.7676, decode.d8.loss_dice: 1.1615, loss: 29.1728 2022-04-30 05:05:43,117 - mmseg - INFO - Iter [63600/80000] lr: 2.944e-07, eta: 8:26:51, time: 1.823, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7802, decode.loss_mask: 0.7596, decode.loss_dice: 1.1557, decode.d0.loss_cls: 2.5612, decode.d0.loss_mask: 0.7729, decode.d0.loss_dice: 1.3258, decode.d1.loss_cls: 0.8737, decode.d1.loss_mask: 0.7913, decode.d1.loss_dice: 1.2495, decode.d2.loss_cls: 0.8197, decode.d2.loss_mask: 0.7753, decode.d2.loss_dice: 1.1987, decode.d3.loss_cls: 0.7992, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.1747, decode.d4.loss_cls: 0.7909, decode.d4.loss_mask: 0.7644, decode.d4.loss_dice: 1.1675, decode.d5.loss_cls: 0.7874, decode.d5.loss_mask: 0.7627, decode.d5.loss_dice: 1.1632, decode.d6.loss_cls: 0.7861, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1481, decode.d7.loss_cls: 0.7775, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.1486, decode.d8.loss_cls: 0.7761, decode.d8.loss_mask: 0.7616, decode.d8.loss_dice: 1.1524, loss: 29.3074 2022-04-30 05:07:14,706 - mmseg - INFO - Iter [63650/80000] lr: 2.935e-07, eta: 8:25:18, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7856, decode.loss_mask: 0.7416, decode.loss_dice: 1.1957, decode.d0.loss_cls: 2.6132, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.3726, decode.d1.loss_cls: 0.8852, decode.d1.loss_mask: 0.7781, decode.d1.loss_dice: 1.3033, decode.d2.loss_cls: 0.8291, decode.d2.loss_mask: 0.7614, decode.d2.loss_dice: 1.2403, decode.d3.loss_cls: 0.8028, decode.d3.loss_mask: 0.7527, decode.d3.loss_dice: 1.2167, decode.d4.loss_cls: 0.7954, decode.d4.loss_mask: 0.7534, decode.d4.loss_dice: 1.2158, decode.d5.loss_cls: 0.7939, decode.d5.loss_mask: 0.7480, decode.d5.loss_dice: 1.2116, decode.d6.loss_cls: 0.7907, decode.d6.loss_mask: 0.7444, decode.d6.loss_dice: 1.1975, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7453, decode.d7.loss_dice: 1.2032, decode.d8.loss_cls: 0.7869, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1986, loss: 29.7483 2022-04-30 05:08:47,137 - mmseg - INFO - Iter [63700/80000] lr: 2.926e-07, eta: 8:23:45, time: 1.848, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7879, decode.loss_mask: 0.7553, decode.loss_dice: 1.1985, decode.d0.loss_cls: 2.5870, decode.d0.loss_mask: 0.7810, decode.d0.loss_dice: 1.3892, decode.d1.loss_cls: 0.8932, decode.d1.loss_mask: 0.7937, decode.d1.loss_dice: 1.3034, decode.d2.loss_cls: 0.8254, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.2523, decode.d3.loss_cls: 0.8096, decode.d3.loss_mask: 0.7633, decode.d3.loss_dice: 1.2191, decode.d4.loss_cls: 0.7994, decode.d4.loss_mask: 0.7603, decode.d4.loss_dice: 1.2180, decode.d5.loss_cls: 0.7997, decode.d5.loss_mask: 0.7574, decode.d5.loss_dice: 1.2110, decode.d6.loss_cls: 0.7904, decode.d6.loss_mask: 0.7564, decode.d6.loss_dice: 1.2008, decode.d7.loss_cls: 0.7886, decode.d7.loss_mask: 0.7570, decode.d7.loss_dice: 1.2074, decode.d8.loss_cls: 0.7918, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.1992, loss: 29.9259 2022-04-30 05:10:19,005 - mmseg - INFO - Iter [63750/80000] lr: 2.917e-07, eta: 8:22:12, time: 1.835, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7365, decode.loss_mask: 0.7439, decode.loss_dice: 1.1501, decode.d0.loss_cls: 2.5104, decode.d0.loss_mask: 0.7587, decode.d0.loss_dice: 1.3088, decode.d1.loss_cls: 0.8221, decode.d1.loss_mask: 0.7828, decode.d1.loss_dice: 1.2426, decode.d2.loss_cls: 0.7704, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.1875, decode.d3.loss_cls: 0.7493, decode.d3.loss_mask: 0.7547, decode.d3.loss_dice: 1.1691, decode.d4.loss_cls: 0.7478, decode.d4.loss_mask: 0.7518, decode.d4.loss_dice: 1.1607, decode.d5.loss_cls: 0.7414, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.1557, decode.d6.loss_cls: 0.7380, decode.d6.loss_mask: 0.7430, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.7347, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7380, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1478, loss: 28.6457 2022-04-30 05:11:49,925 - mmseg - INFO - Iter [63800/80000] lr: 2.908e-07, eta: 8:20:39, time: 1.821, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7797, decode.loss_mask: 0.7363, decode.loss_dice: 1.1499, decode.d0.loss_cls: 2.5212, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.3342, decode.d1.loss_cls: 0.8646, decode.d1.loss_mask: 0.7709, decode.d1.loss_dice: 1.2481, decode.d2.loss_cls: 0.8074, decode.d2.loss_mask: 0.7516, decode.d2.loss_dice: 1.2034, decode.d3.loss_cls: 0.7926, decode.d3.loss_mask: 0.7468, decode.d3.loss_dice: 1.1757, decode.d4.loss_cls: 0.7906, decode.d4.loss_mask: 0.7436, decode.d4.loss_dice: 1.1717, decode.d5.loss_cls: 0.7821, decode.d5.loss_mask: 0.7427, decode.d5.loss_dice: 1.1715, decode.d6.loss_cls: 0.7829, decode.d6.loss_mask: 0.7366, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.7810, decode.d7.loss_mask: 0.7371, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 0.7747, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1517, loss: 29.0506 2022-04-30 05:13:22,897 - mmseg - INFO - Iter [63850/80000] lr: 2.899e-07, eta: 8:19:06, time: 1.860, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7400, decode.loss_mask: 0.7535, decode.loss_dice: 1.1301, decode.d0.loss_cls: 2.4678, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.2937, decode.d1.loss_cls: 0.8332, decode.d1.loss_mask: 0.7810, decode.d1.loss_dice: 1.2277, decode.d2.loss_cls: 0.7708, decode.d2.loss_mask: 0.7709, decode.d2.loss_dice: 1.1755, decode.d3.loss_cls: 0.7634, decode.d3.loss_mask: 0.7614, decode.d3.loss_dice: 1.1541, decode.d4.loss_cls: 0.7584, decode.d4.loss_mask: 0.7571, decode.d4.loss_dice: 1.1559, decode.d5.loss_cls: 0.7554, decode.d5.loss_mask: 0.7540, decode.d5.loss_dice: 1.1483, decode.d6.loss_cls: 0.7446, decode.d6.loss_mask: 0.7507, decode.d6.loss_dice: 1.1278, decode.d7.loss_cls: 0.7453, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1296, decode.d8.loss_cls: 0.7454, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.1343, loss: 28.5959 2022-04-30 05:14:54,034 - mmseg - INFO - Iter [63900/80000] lr: 2.890e-07, eta: 8:17:33, time: 1.821, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7589, decode.loss_mask: 0.7247, decode.loss_dice: 1.1489, decode.d0.loss_cls: 2.5225, decode.d0.loss_mask: 0.7507, decode.d0.loss_dice: 1.3346, decode.d1.loss_cls: 0.8569, decode.d1.loss_mask: 0.7616, decode.d1.loss_dice: 1.2518, decode.d2.loss_cls: 0.7992, decode.d2.loss_mask: 0.7382, decode.d2.loss_dice: 1.1951, decode.d3.loss_cls: 0.7784, decode.d3.loss_mask: 0.7304, decode.d3.loss_dice: 1.1756, decode.d4.loss_cls: 0.7747, decode.d4.loss_mask: 0.7312, decode.d4.loss_dice: 1.1717, decode.d5.loss_cls: 0.7647, decode.d5.loss_mask: 0.7347, decode.d5.loss_dice: 1.1670, decode.d6.loss_cls: 0.7606, decode.d6.loss_mask: 0.7287, decode.d6.loss_dice: 1.1556, decode.d7.loss_cls: 0.7682, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7599, decode.d8.loss_mask: 0.7270, decode.d8.loss_dice: 1.1515, loss: 28.8044 2022-04-30 05:16:25,914 - mmseg - INFO - Iter [63950/80000] lr: 2.881e-07, eta: 8:16:00, time: 1.837, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7585, decode.loss_mask: 0.7473, decode.loss_dice: 1.1499, decode.d0.loss_cls: 2.5272, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.3347, decode.d1.loss_cls: 0.8582, decode.d1.loss_mask: 0.7824, decode.d1.loss_dice: 1.2583, decode.d2.loss_cls: 0.7972, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7813, decode.d3.loss_mask: 0.7602, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 0.7781, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.1759, decode.d5.loss_cls: 0.7665, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.7620, decode.d6.loss_mask: 0.7460, decode.d6.loss_dice: 1.1555, decode.d7.loss_cls: 0.7638, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1580, decode.d8.loss_cls: 0.7631, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.1482, loss: 29.0468 2022-04-30 05:18:00,039 - mmseg - INFO - Saving checkpoint at 64000 iterations 2022-04-30 05:18:33,883 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 05:18:33,888 - mmseg - INFO - Iter [64000/80000] lr: 2.872e-07, eta: 8:14:36, time: 2.555, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7722, decode.loss_mask: 0.7569, decode.loss_dice: 1.1880, decode.d0.loss_cls: 2.6051, decode.d0.loss_mask: 0.7623, decode.d0.loss_dice: 1.3775, decode.d1.loss_cls: 0.8654, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2927, decode.d2.loss_cls: 0.8112, decode.d2.loss_mask: 0.7775, decode.d2.loss_dice: 1.2366, decode.d3.loss_cls: 0.7967, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.2098, decode.d4.loss_cls: 0.7851, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.2131, decode.d5.loss_cls: 0.7837, decode.d5.loss_mask: 0.7588, decode.d5.loss_dice: 1.2028, decode.d6.loss_cls: 0.7751, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1916, decode.d7.loss_cls: 0.7707, decode.d7.loss_mask: 0.7596, decode.d7.loss_dice: 1.1920, decode.d8.loss_cls: 0.7722, decode.d8.loss_mask: 0.7558, decode.d8.loss_dice: 1.1951, loss: 29.6792 2022-04-30 05:23:32,976 - mmseg - INFO - per class results: 2022-04-30 05:23:32,991 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.45 | 93.41 | | bicycle | 76.48 | 86.52 | | car | 65.85 | 87.52 | | motorcycle | 86.32 | 91.41 | | airplane | 85.09 | 91.66 | | bus | 84.8 | 91.14 | | train | 85.05 | 95.96 | | truck | 63.94 | 77.04 | | boat | 70.36 | 86.54 | | traffic light | 73.67 | 88.92 | | fire hydrant | 92.19 | 96.3 | | stop sign | 90.87 | 98.07 | | parking meter | 77.18 | 88.48 | | bench | 55.3 | 77.49 | | bird | 86.35 | 92.93 | | cat | 85.05 | 91.2 | | dog | 80.6 | 87.81 | | horse | 87.44 | 93.94 | | sheep | 88.67 | 95.87 | | cow | 88.84 | 92.9 | | elephant | 93.39 | 96.76 | | bear | 93.47 | 96.2 | | zebra | 92.83 | 96.09 | | giraffe | 88.44 | 94.16 | | backpack | 42.17 | 74.63 | | umbrella | 87.56 | 92.62 | | handbag | 41.22 | 65.59 | | tie | 24.02 | 41.79 | | suitcase | 82.94 | 94.76 | | frisbee | 79.06 | 95.42 | | skis | 61.44 | 75.91 | | snowboard | 72.39 | 84.91 | | sports ball | 65.98 | 79.87 | | kite | 75.3 | 87.37 | | baseball bat | 62.94 | 83.35 | | baseball glove | 73.11 | 93.23 | | skateboard | 85.21 | 91.17 | | surfboard | 85.76 | 91.7 | | tennis racket | 89.91 | 95.93 | | bottle | 52.33 | 66.32 | | wine glass | 63.93 | 86.66 | | cup | 62.43 | 83.76 | | fork | 51.26 | 64.83 | | knife | 44.16 | 63.49 | | spoon | 40.4 | 66.41 | | bowl | 52.19 | 74.91 | | banana | 70.95 | 92.62 | | apple | 57.75 | 77.91 | | sandwich | 51.62 | 68.35 | | orange | 72.31 | 79.16 | | broccoli | 56.59 | 72.73 | | carrot | 59.85 | 71.6 | | hot dog | 55.71 | 67.91 | | pizza | 74.31 | 86.15 | | donut | 75.71 | 90.01 | | cake | 72.82 | 84.84 | | chair | 55.05 | 71.23 | | couch | 60.18 | 78.89 | | potted plant | 35.36 | 64.75 | | bed | 67.43 | 84.26 | | dining table | 46.35 | 75.76 | | toilet | 83.55 | 94.88 | | tv | 77.84 | 87.44 | | laptop | 80.95 | 91.92 | | mouse | 82.74 | 90.48 | | remote | 62.18 | 78.21 | | keyboard | 72.1 | 85.55 | | cell phone | 76.9 | 90.33 | | microwave | 71.07 | 83.81 | | oven | 63.36 | 85.94 | | toaster | 49.7 | 56.71 | | sink | 64.64 | 81.62 | | refrigerator | 80.03 | 93.01 | | book | 51.97 | 73.97 | | clock | 73.0 | 84.1 | | vase | 61.01 | 86.69 | | scissors | 82.71 | 93.07 | | teddy bear | 79.62 | 90.92 | | hair drier | 57.14 | 59.72 | | toothbrush | 57.88 | 86.03 | | banner | 34.23 | 67.53 | | blanket | 9.63 | 13.06 | | branch | 19.28 | 32.07 | | bridge | 42.37 | 62.56 | | building-other | 53.74 | 68.79 | | bush | 36.27 | 53.04 | | cabinet | 54.85 | 71.72 | | cage | 18.43 | 25.1 | | cardboard | 48.88 | 59.82 | | carpet | 49.55 | 68.23 | | ceiling-other | 67.9 | 86.11 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 24.35 | 39.37 | | clouds | 48.51 | 66.45 | | counter | 34.48 | 54.47 | | cupboard | 0.0 | 0.01 | | curtain | 72.33 | 82.24 | | desk-stuff | 43.66 | 56.62 | | dirt | 43.8 | 65.59 | | door-stuff | 47.06 | 70.35 | | fence | 34.4 | 58.21 | | floor-marble | 8.43 | 9.85 | | floor-other | 24.58 | 31.96 | | floor-stone | 7.46 | 9.73 | | floor-tile | 64.61 | 75.38 | | floor-wood | 63.34 | 80.54 | | flower | 33.05 | 46.2 | | fog | 5.36 | 5.61 | | food-other | 33.29 | 41.1 | | fruit | 43.71 | 65.18 | | furniture-other | 20.09 | 27.48 | | grass | 71.81 | 84.12 | | gravel | 34.84 | 49.68 | | ground-other | 4.07 | 4.61 | | hill | 21.47 | 28.56 | | house | 24.47 | 30.14 | | leaves | 28.35 | 39.1 | | light | 42.38 | 61.04 | | mat | 0.0 | 0.0 | | metal | 36.77 | 51.6 | | mirror-stuff | 61.93 | 78.72 | | moss | 0.0 | 0.0 | | mountain | 55.54 | 70.29 | | mud | 6.26 | 9.18 | | napkin | 13.62 | 17.34 | | net | 47.13 | 68.74 | | paper | 32.22 | 47.24 | | pavement | 53.52 | 72.02 | | pillow | 20.62 | 36.68 | | plant-other | 19.8 | 30.73 | | plastic | 27.91 | 40.75 | | platform | 33.06 | 50.43 | | playingfield | 68.86 | 89.23 | | railing | 8.8 | 19.2 | | railroad | 61.02 | 79.64 | | river | 52.37 | 70.58 | | road | 67.1 | 82.92 | | rock | 39.21 | 58.32 | | roof | 21.69 | 30.98 | | rug | 29.98 | 54.16 | | salad | 0.21 | 0.23 | | sand | 67.73 | 73.62 | | sea | 85.53 | 93.06 | | shelf | 38.18 | 53.29 | | sky-other | 70.91 | 85.58 | | skyscraper | 30.29 | 36.76 | | snow | 91.37 | 95.23 | | solid-other | 0.0 | 0.0 | | stairs | 31.24 | 58.17 | | stone | 8.98 | 18.51 | | straw | 27.28 | 38.87 | | structural-other | 2.96 | 3.35 | | table | 19.06 | 24.11 | | tent | 9.07 | 10.94 | | textile-other | 16.32 | 28.88 | | towel | 39.69 | 48.92 | | tree | 74.61 | 86.79 | | vegetable | 43.69 | 59.73 | | wall-brick | 52.17 | 72.1 | | wall-concrete | 62.63 | 80.65 | | wall-other | 21.94 | 35.32 | | wall-panel | 11.32 | 15.17 | | wall-stone | 31.26 | 39.36 | | wall-tile | 72.87 | 87.69 | | wall-wood | 43.05 | 61.48 | | water-other | 22.15 | 32.84 | | waterdrops | 0.0 | 0.0 | | window-blind | 54.01 | 66.12 | | window-other | 49.7 | 72.12 | | wood | 27.03 | 43.56 | +------------------+-------+-------+ 2022-04-30 05:23:32,991 - mmseg - INFO - Summary: 2022-04-30 05:23:32,991 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.29 | 51.42 | 64.19 | +-------+-------+-------+ 2022-04-30 05:23:32,994 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_56000.pth was removed 2022-04-30 05:23:50,637 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2022-04-30 05:23:50,640 - mmseg - INFO - Best mIoU is 0.5142 at 64000 iter. 2022-04-30 05:23:50,662 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 05:23:50,663 - mmseg - INFO - Iter(val) [313] aAcc: 0.7329, mIoU: 0.5142, mAcc: 0.6419, IoU.person: 0.8745, IoU.bicycle: 0.7648, IoU.car: 0.6585, IoU.motorcycle: 0.8632, IoU.airplane: 0.8509, IoU.bus: 0.8480, IoU.train: 0.8505, IoU.truck: 0.6394, IoU.boat: 0.7036, IoU.traffic light: 0.7367, IoU.fire hydrant: 0.9219, IoU.stop sign: 0.9087, IoU.parking meter: 0.7718, IoU.bench: 0.5530, IoU.bird: 0.8635, IoU.cat: 0.8505, IoU.dog: 0.8060, IoU.horse: 0.8744, IoU.sheep: 0.8867, IoU.cow: 0.8884, IoU.elephant: 0.9339, IoU.bear: 0.9347, IoU.zebra: 0.9283, IoU.giraffe: 0.8844, IoU.backpack: 0.4217, IoU.umbrella: 0.8756, IoU.handbag: 0.4122, IoU.tie: 0.2402, IoU.suitcase: 0.8294, IoU.frisbee: 0.7906, IoU.skis: 0.6144, IoU.snowboard: 0.7239, IoU.sports ball: 0.6598, IoU.kite: 0.7530, IoU.baseball bat: 0.6294, IoU.baseball glove: 0.7311, IoU.skateboard: 0.8521, IoU.surfboard: 0.8576, IoU.tennis racket: 0.8991, IoU.bottle: 0.5233, IoU.wine glass: 0.6393, IoU.cup: 0.6243, IoU.fork: 0.5126, IoU.knife: 0.4416, IoU.spoon: 0.4040, IoU.bowl: 0.5219, IoU.banana: 0.7095, IoU.apple: 0.5775, IoU.sandwich: 0.5162, IoU.orange: 0.7231, IoU.broccoli: 0.5659, IoU.carrot: 0.5985, IoU.hot dog: 0.5571, IoU.pizza: 0.7431, IoU.donut: 0.7571, IoU.cake: 0.7282, IoU.chair: 0.5505, IoU.couch: 0.6018, IoU.potted plant: 0.3536, IoU.bed: 0.6743, IoU.dining table: 0.4635, IoU.toilet: 0.8355, IoU.tv: 0.7784, IoU.laptop: 0.8095, IoU.mouse: 0.8274, IoU.remote: 0.6218, IoU.keyboard: 0.7210, IoU.cell phone: 0.7690, IoU.microwave: 0.7107, IoU.oven: 0.6336, IoU.toaster: 0.4970, IoU.sink: 0.6464, IoU.refrigerator: 0.8003, IoU.book: 0.5197, IoU.clock: 0.7300, IoU.vase: 0.6101, IoU.scissors: 0.8271, IoU.teddy bear: 0.7962, IoU.hair drier: 0.5714, IoU.toothbrush: 0.5788, IoU.banner: 0.3423, IoU.blanket: 0.0963, IoU.branch: 0.1928, IoU.bridge: 0.4237, IoU.building-other: 0.5374, IoU.bush: 0.3627, IoU.cabinet: 0.5485, IoU.cage: 0.1843, IoU.cardboard: 0.4888, IoU.carpet: 0.4955, IoU.ceiling-other: 0.6790, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2435, IoU.clouds: 0.4851, IoU.counter: 0.3448, IoU.cupboard: 0.0000, IoU.curtain: 0.7233, IoU.desk-stuff: 0.4366, IoU.dirt: 0.4380, IoU.door-stuff: 0.4706, IoU.fence: 0.3440, IoU.floor-marble: 0.0843, IoU.floor-other: 0.2458, IoU.floor-stone: 0.0746, IoU.floor-tile: 0.6461, IoU.floor-wood: 0.6334, IoU.flower: 0.3305, IoU.fog: 0.0536, IoU.food-other: 0.3329, IoU.fruit: 0.4371, IoU.furniture-other: 0.2009, IoU.grass: 0.7181, IoU.gravel: 0.3484, IoU.ground-other: 0.0407, IoU.hill: 0.2147, IoU.house: 0.2447, IoU.leaves: 0.2835, IoU.light: 0.4238, IoU.mat: 0.0000, IoU.metal: 0.3677, IoU.mirror-stuff: 0.6193, IoU.moss: 0.0000, IoU.mountain: 0.5554, IoU.mud: 0.0626, IoU.napkin: 0.1362, IoU.net: 0.4713, IoU.paper: 0.3222, IoU.pavement: 0.5352, IoU.pillow: 0.2062, IoU.plant-other: 0.1980, IoU.plastic: 0.2791, IoU.platform: 0.3306, IoU.playingfield: 0.6886, IoU.railing: 0.0880, IoU.railroad: 0.6102, IoU.river: 0.5237, IoU.road: 0.6710, IoU.rock: 0.3921, IoU.roof: 0.2169, IoU.rug: 0.2998, IoU.salad: 0.0021, IoU.sand: 0.6773, IoU.sea: 0.8553, IoU.shelf: 0.3818, IoU.sky-other: 0.7091, IoU.skyscraper: 0.3029, IoU.snow: 0.9137, IoU.solid-other: 0.0000, IoU.stairs: 0.3124, IoU.stone: 0.0898, IoU.straw: 0.2728, IoU.structural-other: 0.0296, IoU.table: 0.1906, IoU.tent: 0.0907, IoU.textile-other: 0.1632, IoU.towel: 0.3969, IoU.tree: 0.7461, IoU.vegetable: 0.4369, IoU.wall-brick: 0.5217, IoU.wall-concrete: 0.6263, IoU.wall-other: 0.2194, IoU.wall-panel: 0.1132, IoU.wall-stone: 0.3126, IoU.wall-tile: 0.7287, IoU.wall-wood: 0.4305, IoU.water-other: 0.2215, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5401, IoU.window-other: 0.4970, IoU.wood: 0.2703, Acc.person: 0.9341, Acc.bicycle: 0.8652, Acc.car: 0.8752, Acc.motorcycle: 0.9141, Acc.airplane: 0.9166, Acc.bus: 0.9114, Acc.train: 0.9596, Acc.truck: 0.7704, Acc.boat: 0.8654, Acc.traffic light: 0.8892, Acc.fire hydrant: 0.9630, Acc.stop sign: 0.9807, Acc.parking meter: 0.8848, Acc.bench: 0.7749, Acc.bird: 0.9293, Acc.cat: 0.9120, Acc.dog: 0.8781, Acc.horse: 0.9394, Acc.sheep: 0.9587, Acc.cow: 0.9290, Acc.elephant: 0.9676, Acc.bear: 0.9620, Acc.zebra: 0.9609, Acc.giraffe: 0.9416, Acc.backpack: 0.7463, Acc.umbrella: 0.9262, Acc.handbag: 0.6559, Acc.tie: 0.4179, Acc.suitcase: 0.9476, Acc.frisbee: 0.9542, Acc.skis: 0.7591, Acc.snowboard: 0.8491, Acc.sports ball: 0.7987, Acc.kite: 0.8737, Acc.baseball bat: 0.8335, Acc.baseball glove: 0.9323, Acc.skateboard: 0.9117, Acc.surfboard: 0.9170, Acc.tennis racket: 0.9593, Acc.bottle: 0.6632, Acc.wine glass: 0.8666, Acc.cup: 0.8376, Acc.fork: 0.6483, Acc.knife: 0.6349, Acc.spoon: 0.6641, Acc.bowl: 0.7491, Acc.banana: 0.9262, Acc.apple: 0.7791, Acc.sandwich: 0.6835, Acc.orange: 0.7916, Acc.broccoli: 0.7273, Acc.carrot: 0.7160, Acc.hot dog: 0.6791, Acc.pizza: 0.8615, Acc.donut: 0.9001, Acc.cake: 0.8484, Acc.chair: 0.7123, Acc.couch: 0.7889, Acc.potted plant: 0.6475, Acc.bed: 0.8426, Acc.dining table: 0.7576, Acc.toilet: 0.9488, Acc.tv: 0.8744, Acc.laptop: 0.9192, Acc.mouse: 0.9048, Acc.remote: 0.7821, Acc.keyboard: 0.8555, Acc.cell phone: 0.9033, Acc.microwave: 0.8381, Acc.oven: 0.8594, Acc.toaster: 0.5671, Acc.sink: 0.8162, Acc.refrigerator: 0.9301, Acc.book: 0.7397, Acc.clock: 0.8410, Acc.vase: 0.8669, Acc.scissors: 0.9307, Acc.teddy bear: 0.9092, Acc.hair drier: 0.5972, Acc.toothbrush: 0.8603, Acc.banner: 0.6753, Acc.blanket: 0.1306, Acc.branch: 0.3207, Acc.bridge: 0.6256, Acc.building-other: 0.6879, Acc.bush: 0.5304, Acc.cabinet: 0.7172, Acc.cage: 0.2510, Acc.cardboard: 0.5982, Acc.carpet: 0.6823, Acc.ceiling-other: 0.8611, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3937, Acc.clouds: 0.6645, Acc.counter: 0.5447, Acc.cupboard: 0.0001, Acc.curtain: 0.8224, Acc.desk-stuff: 0.5662, Acc.dirt: 0.6559, Acc.door-stuff: 0.7035, Acc.fence: 0.5821, Acc.floor-marble: 0.0985, Acc.floor-other: 0.3196, Acc.floor-stone: 0.0973, Acc.floor-tile: 0.7538, Acc.floor-wood: 0.8054, Acc.flower: 0.4620, Acc.fog: 0.0561, Acc.food-other: 0.4110, Acc.fruit: 0.6518, Acc.furniture-other: 0.2748, Acc.grass: 0.8412, Acc.gravel: 0.4968, Acc.ground-other: 0.0461, Acc.hill: 0.2856, Acc.house: 0.3014, Acc.leaves: 0.3910, Acc.light: 0.6104, Acc.mat: 0.0000, Acc.metal: 0.5160, Acc.mirror-stuff: 0.7872, Acc.moss: 0.0000, Acc.mountain: 0.7029, Acc.mud: 0.0918, Acc.napkin: 0.1734, Acc.net: 0.6874, Acc.paper: 0.4724, Acc.pavement: 0.7202, Acc.pillow: 0.3668, Acc.plant-other: 0.3073, Acc.plastic: 0.4075, Acc.platform: 0.5043, Acc.playingfield: 0.8923, Acc.railing: 0.1920, Acc.railroad: 0.7964, Acc.river: 0.7058, Acc.road: 0.8292, Acc.rock: 0.5832, Acc.roof: 0.3098, Acc.rug: 0.5416, Acc.salad: 0.0023, Acc.sand: 0.7362, Acc.sea: 0.9306, Acc.shelf: 0.5329, Acc.sky-other: 0.8558, Acc.skyscraper: 0.3676, Acc.snow: 0.9523, Acc.solid-other: 0.0000, Acc.stairs: 0.5817, Acc.stone: 0.1851, Acc.straw: 0.3887, Acc.structural-other: 0.0335, Acc.table: 0.2411, Acc.tent: 0.1094, Acc.textile-other: 0.2888, Acc.towel: 0.4892, Acc.tree: 0.8679, Acc.vegetable: 0.5973, Acc.wall-brick: 0.7210, Acc.wall-concrete: 0.8065, Acc.wall-other: 0.3532, Acc.wall-panel: 0.1517, Acc.wall-stone: 0.3936, Acc.wall-tile: 0.8769, Acc.wall-wood: 0.6148, Acc.water-other: 0.3284, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6612, Acc.window-other: 0.7212, Acc.wood: 0.4356 2022-04-30 05:25:23,814 - mmseg - INFO - Iter [64050/80000] lr: 2.863e-07, eta: 8:14:22, time: 8.205, data_time: 6.357, memory: 64979, decode.loss_cls: 0.7575, decode.loss_mask: 0.7567, decode.loss_dice: 1.1533, decode.d0.loss_cls: 2.4809, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3213, decode.d1.loss_cls: 0.8468, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.2299, decode.d2.loss_cls: 0.7914, decode.d2.loss_mask: 0.7746, decode.d2.loss_dice: 1.1907, decode.d3.loss_cls: 0.7762, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.1697, decode.d4.loss_cls: 0.7691, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1670, decode.d5.loss_cls: 0.7669, decode.d5.loss_mask: 0.7616, decode.d5.loss_dice: 1.1645, decode.d6.loss_cls: 0.7598, decode.d6.loss_mask: 0.7562, decode.d6.loss_dice: 1.1485, decode.d7.loss_cls: 0.7567, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1548, decode.d8.loss_cls: 0.7606, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.1497, loss: 28.9700 2022-04-30 05:26:56,699 - mmseg - INFO - Iter [64100/80000] lr: 2.854e-07, eta: 8:12:49, time: 1.857, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7708, decode.loss_mask: 0.7581, decode.loss_dice: 1.1300, decode.d0.loss_cls: 2.5448, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3153, decode.d1.loss_cls: 0.8587, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.2273, decode.d2.loss_cls: 0.8164, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.1758, decode.d3.loss_cls: 0.7969, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.1456, decode.d4.loss_cls: 0.7901, decode.d4.loss_mask: 0.7610, decode.d4.loss_dice: 1.1452, decode.d5.loss_cls: 0.7848, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.1429, decode.d6.loss_cls: 0.7790, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1297, decode.d7.loss_cls: 0.7796, decode.d7.loss_mask: 0.7555, decode.d7.loss_dice: 1.1290, decode.d8.loss_cls: 0.7759, decode.d8.loss_mask: 0.7612, decode.d8.loss_dice: 1.1287, loss: 29.0146 2022-04-30 05:28:29,992 - mmseg - INFO - Iter [64150/80000] lr: 2.845e-07, eta: 8:11:17, time: 1.866, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7724, decode.loss_mask: 0.7543, decode.loss_dice: 1.1784, decode.d0.loss_cls: 2.5551, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3526, decode.d1.loss_cls: 0.8589, decode.d1.loss_mask: 0.7930, decode.d1.loss_dice: 1.2727, decode.d2.loss_cls: 0.8023, decode.d2.loss_mask: 0.7743, decode.d2.loss_dice: 1.2240, decode.d3.loss_cls: 0.7841, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.1901, decode.d4.loss_cls: 0.7797, decode.d4.loss_mask: 0.7618, decode.d4.loss_dice: 1.1937, decode.d5.loss_cls: 0.7743, decode.d5.loss_mask: 0.7633, decode.d5.loss_dice: 1.1911, decode.d6.loss_cls: 0.7724, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.1859, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7545, decode.d7.loss_dice: 1.1820, decode.d8.loss_cls: 0.7705, decode.d8.loss_mask: 0.7548, decode.d8.loss_dice: 1.1789, loss: 29.4453 2022-04-30 05:30:01,369 - mmseg - INFO - Iter [64200/80000] lr: 2.836e-07, eta: 8:09:43, time: 1.828, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7582, decode.loss_mask: 0.7260, decode.loss_dice: 1.1119, decode.d0.loss_cls: 2.5326, decode.d0.loss_mask: 0.7401, decode.d0.loss_dice: 1.2837, decode.d1.loss_cls: 0.8623, decode.d1.loss_mask: 0.7590, decode.d1.loss_dice: 1.2099, decode.d2.loss_cls: 0.7924, decode.d2.loss_mask: 0.7442, decode.d2.loss_dice: 1.1611, decode.d3.loss_cls: 0.7773, decode.d3.loss_mask: 0.7364, decode.d3.loss_dice: 1.1369, decode.d4.loss_cls: 0.7701, decode.d4.loss_mask: 0.7326, decode.d4.loss_dice: 1.1305, decode.d5.loss_cls: 0.7689, decode.d5.loss_mask: 0.7292, decode.d5.loss_dice: 1.1282, decode.d6.loss_cls: 0.7665, decode.d6.loss_mask: 0.7309, decode.d6.loss_dice: 1.1149, decode.d7.loss_cls: 0.7633, decode.d7.loss_mask: 0.7304, decode.d7.loss_dice: 1.1194, decode.d8.loss_cls: 0.7636, decode.d8.loss_mask: 0.7269, decode.d8.loss_dice: 1.1172, loss: 28.4247 2022-04-30 05:31:32,586 - mmseg - INFO - Iter [64250/80000] lr: 2.827e-07, eta: 8:08:10, time: 1.824, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7553, decode.loss_mask: 0.7404, decode.loss_dice: 1.1356, decode.d0.loss_cls: 2.5641, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.3170, decode.d1.loss_cls: 0.8527, decode.d1.loss_mask: 0.7701, decode.d1.loss_dice: 1.2308, decode.d2.loss_cls: 0.7960, decode.d2.loss_mask: 0.7523, decode.d2.loss_dice: 1.1848, decode.d3.loss_cls: 0.7750, decode.d3.loss_mask: 0.7434, decode.d3.loss_dice: 1.1542, decode.d4.loss_cls: 0.7739, decode.d4.loss_mask: 0.7417, decode.d4.loss_dice: 1.1539, decode.d5.loss_cls: 0.7697, decode.d5.loss_mask: 0.7366, decode.d5.loss_dice: 1.1388, decode.d6.loss_cls: 0.7637, decode.d6.loss_mask: 0.7388, decode.d6.loss_dice: 1.1377, decode.d7.loss_cls: 0.7691, decode.d7.loss_mask: 0.7412, decode.d7.loss_dice: 1.1308, decode.d8.loss_cls: 0.7637, decode.d8.loss_mask: 0.7407, decode.d8.loss_dice: 1.1370, loss: 28.7647 2022-04-30 05:33:03,430 - mmseg - INFO - Iter [64300/80000] lr: 2.818e-07, eta: 8:06:36, time: 1.816, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7691, decode.loss_mask: 0.7554, decode.loss_dice: 1.1537, decode.d0.loss_cls: 2.5137, decode.d0.loss_mask: 0.7636, decode.d0.loss_dice: 1.3228, decode.d1.loss_cls: 0.8495, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2554, decode.d2.loss_cls: 0.7942, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.2092, decode.d3.loss_cls: 0.7806, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1809, decode.d4.loss_cls: 0.7732, decode.d4.loss_mask: 0.7634, decode.d4.loss_dice: 1.1772, decode.d5.loss_cls: 0.7696, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.1733, decode.d6.loss_cls: 0.7630, decode.d6.loss_mask: 0.7551, decode.d6.loss_dice: 1.1603, decode.d7.loss_cls: 0.7610, decode.d7.loss_mask: 0.7597, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7584, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1616, loss: 29.1158 2022-04-30 05:34:36,576 - mmseg - INFO - Iter [64350/80000] lr: 2.809e-07, eta: 8:05:03, time: 1.863, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7714, decode.loss_mask: 0.7392, decode.loss_dice: 1.1869, decode.d0.loss_cls: 2.5475, decode.d0.loss_mask: 0.7514, decode.d0.loss_dice: 1.3693, decode.d1.loss_cls: 0.8600, decode.d1.loss_mask: 0.7713, decode.d1.loss_dice: 1.2962, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7560, decode.d2.loss_dice: 1.2390, decode.d3.loss_cls: 0.7882, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.2153, decode.d4.loss_cls: 0.7760, decode.d4.loss_mask: 0.7473, decode.d4.loss_dice: 1.2144, decode.d5.loss_cls: 0.7724, decode.d5.loss_mask: 0.7460, decode.d5.loss_dice: 1.1987, decode.d6.loss_cls: 0.7657, decode.d6.loss_mask: 0.7458, decode.d6.loss_dice: 1.1990, decode.d7.loss_cls: 0.7713, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.1928, decode.d8.loss_cls: 0.7679, decode.d8.loss_mask: 0.7408, decode.d8.loss_dice: 1.1872, loss: 29.4172 2022-04-30 05:36:09,110 - mmseg - INFO - Iter [64400/80000] lr: 2.800e-07, eta: 8:03:30, time: 1.851, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7855, decode.loss_mask: 0.7469, decode.loss_dice: 1.1690, decode.d0.loss_cls: 2.5318, decode.d0.loss_mask: 0.7657, decode.d0.loss_dice: 1.3506, decode.d1.loss_cls: 0.8781, decode.d1.loss_mask: 0.7746, decode.d1.loss_dice: 1.2661, decode.d2.loss_cls: 0.8209, decode.d2.loss_mask: 0.7640, decode.d2.loss_dice: 1.2136, decode.d3.loss_cls: 0.8013, decode.d3.loss_mask: 0.7581, decode.d3.loss_dice: 1.1915, decode.d4.loss_cls: 0.7898, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.1957, decode.d5.loss_cls: 0.7902, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.1901, decode.d6.loss_cls: 0.7900, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1732, decode.d7.loss_cls: 0.7875, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.1723, decode.d8.loss_cls: 0.7832, decode.d8.loss_mask: 0.7471, decode.d8.loss_dice: 1.1731, loss: 29.4071 2022-04-30 05:37:42,152 - mmseg - INFO - Iter [64450/80000] lr: 2.791e-07, eta: 8:01:57, time: 1.861, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7395, decode.loss_mask: 0.7506, decode.loss_dice: 1.1524, decode.d0.loss_cls: 2.4780, decode.d0.loss_mask: 0.7624, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 0.8237, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.2575, decode.d2.loss_cls: 0.7730, decode.d2.loss_mask: 0.7666, decode.d2.loss_dice: 1.2003, decode.d3.loss_cls: 0.7582, decode.d3.loss_mask: 0.7571, decode.d3.loss_dice: 1.1687, decode.d4.loss_cls: 0.7572, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1692, decode.d5.loss_cls: 0.7489, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.1684, decode.d6.loss_cls: 0.7475, decode.d6.loss_mask: 0.7487, decode.d6.loss_dice: 1.1542, decode.d7.loss_cls: 0.7415, decode.d7.loss_mask: 0.7478, decode.d7.loss_dice: 1.1589, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7490, decode.d8.loss_dice: 1.1524, loss: 28.7807 2022-04-30 05:39:14,151 - mmseg - INFO - Iter [64500/80000] lr: 2.782e-07, eta: 8:00:24, time: 1.840, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7655, decode.loss_mask: 0.7458, decode.loss_dice: 1.1615, decode.d0.loss_cls: 2.5430, decode.d0.loss_mask: 0.7492, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.7779, decode.d1.loss_dice: 1.2624, decode.d2.loss_cls: 0.8104, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.2158, decode.d3.loss_cls: 0.7850, decode.d3.loss_mask: 0.7563, decode.d3.loss_dice: 1.1881, decode.d4.loss_cls: 0.7789, decode.d4.loss_mask: 0.7501, decode.d4.loss_dice: 1.1895, decode.d5.loss_cls: 0.7691, decode.d5.loss_mask: 0.7526, decode.d5.loss_dice: 1.1859, decode.d6.loss_cls: 0.7626, decode.d6.loss_mask: 0.7493, decode.d6.loss_dice: 1.1716, decode.d7.loss_cls: 0.7698, decode.d7.loss_mask: 0.7460, decode.d7.loss_dice: 1.1708, decode.d8.loss_cls: 0.7710, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.1645, loss: 29.2096 2022-04-30 05:40:45,246 - mmseg - INFO - Iter [64550/80000] lr: 2.773e-07, eta: 7:58:51, time: 1.822, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7613, decode.loss_mask: 0.7670, decode.loss_dice: 1.1934, decode.d0.loss_cls: 2.5268, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3670, decode.d1.loss_cls: 0.8549, decode.d1.loss_mask: 0.7999, decode.d1.loss_dice: 1.2916, decode.d2.loss_cls: 0.8049, decode.d2.loss_mask: 0.7848, decode.d2.loss_dice: 1.2335, decode.d3.loss_cls: 0.7885, decode.d3.loss_mask: 0.7752, decode.d3.loss_dice: 1.2046, decode.d4.loss_cls: 0.7789, decode.d4.loss_mask: 0.7751, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 0.7743, decode.d5.loss_mask: 0.7705, decode.d5.loss_dice: 1.2030, decode.d6.loss_cls: 0.7645, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.1940, decode.d7.loss_cls: 0.7640, decode.d7.loss_mask: 0.7627, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7676, decode.d8.loss_dice: 1.1956, loss: 29.6137 2022-04-30 05:42:16,822 - mmseg - INFO - Iter [64600/80000] lr: 2.764e-07, eta: 7:57:17, time: 1.832, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7865, decode.loss_mask: 0.7500, decode.loss_dice: 1.1726, decode.d0.loss_cls: 2.5805, decode.d0.loss_mask: 0.7583, decode.d0.loss_dice: 1.3397, decode.d1.loss_cls: 0.8728, decode.d1.loss_mask: 0.7810, decode.d1.loss_dice: 1.2639, decode.d2.loss_cls: 0.8156, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.2139, decode.d3.loss_cls: 0.8016, decode.d3.loss_mask: 0.7567, decode.d3.loss_dice: 1.1925, decode.d4.loss_cls: 0.7915, decode.d4.loss_mask: 0.7561, decode.d4.loss_dice: 1.1851, decode.d5.loss_cls: 0.7966, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1802, decode.d6.loss_cls: 0.7900, decode.d6.loss_mask: 0.7503, decode.d6.loss_dice: 1.1724, decode.d7.loss_cls: 0.7869, decode.d7.loss_mask: 0.7517, decode.d7.loss_dice: 1.1679, decode.d8.loss_cls: 0.7886, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1663, loss: 29.4362 2022-04-30 05:43:48,554 - mmseg - INFO - Iter [64650/80000] lr: 2.755e-07, eta: 7:55:44, time: 1.835, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7741, decode.loss_mask: 0.7574, decode.loss_dice: 1.1801, decode.d0.loss_cls: 2.5321, decode.d0.loss_mask: 0.7787, decode.d0.loss_dice: 1.3485, decode.d1.loss_cls: 0.8692, decode.d1.loss_mask: 0.7960, decode.d1.loss_dice: 1.2764, decode.d2.loss_cls: 0.8088, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.2301, decode.d3.loss_cls: 0.7954, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.2055, decode.d4.loss_cls: 0.7938, decode.d4.loss_mask: 0.7611, decode.d4.loss_dice: 1.1969, decode.d5.loss_cls: 0.7864, decode.d5.loss_mask: 0.7629, decode.d5.loss_dice: 1.1956, decode.d6.loss_cls: 0.7742, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1875, decode.d7.loss_cls: 0.7722, decode.d7.loss_mask: 0.7575, decode.d7.loss_dice: 1.1925, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7569, decode.d8.loss_dice: 1.1883, loss: 29.5550 2022-04-30 05:45:19,602 - mmseg - INFO - Iter [64700/80000] lr: 2.746e-07, eta: 7:54:11, time: 1.821, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7499, decode.loss_mask: 0.7734, decode.loss_dice: 1.1550, decode.d0.loss_cls: 2.4387, decode.d0.loss_mask: 0.7858, decode.d0.loss_dice: 1.3253, decode.d1.loss_cls: 0.8293, decode.d1.loss_mask: 0.8091, decode.d1.loss_dice: 1.2535, decode.d2.loss_cls: 0.7807, decode.d2.loss_mask: 0.7923, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.7648, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.1805, decode.d4.loss_cls: 0.7590, decode.d4.loss_mask: 0.7763, decode.d4.loss_dice: 1.1715, decode.d5.loss_cls: 0.7530, decode.d5.loss_mask: 0.7731, decode.d5.loss_dice: 1.1656, decode.d6.loss_cls: 0.7481, decode.d6.loss_mask: 0.7750, decode.d6.loss_dice: 1.1655, decode.d7.loss_cls: 0.7438, decode.d7.loss_mask: 0.7740, decode.d7.loss_dice: 1.1645, decode.d8.loss_cls: 0.7422, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.1568, loss: 29.0584 2022-04-30 05:46:52,172 - mmseg - INFO - Iter [64750/80000] lr: 2.737e-07, eta: 7:52:37, time: 1.850, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7951, decode.loss_mask: 0.7555, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.5383, decode.d0.loss_mask: 0.7721, decode.d0.loss_dice: 1.3364, decode.d1.loss_cls: 0.8797, decode.d1.loss_mask: 0.7893, decode.d1.loss_dice: 1.2450, decode.d2.loss_cls: 0.8277, decode.d2.loss_mask: 0.7715, decode.d2.loss_dice: 1.1931, decode.d3.loss_cls: 0.8162, decode.d3.loss_mask: 0.7630, decode.d3.loss_dice: 1.1742, decode.d4.loss_cls: 0.8072, decode.d4.loss_mask: 0.7588, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.8026, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1597, decode.d6.loss_cls: 0.7999, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.1562, decode.d7.loss_cls: 0.7987, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1558, decode.d8.loss_cls: 0.7989, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1508, loss: 29.3965 2022-04-30 05:48:24,868 - mmseg - INFO - Iter [64800/80000] lr: 2.728e-07, eta: 7:51:04, time: 1.855, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7874, decode.loss_mask: 0.7512, decode.loss_dice: 1.1634, decode.d0.loss_cls: 2.5621, decode.d0.loss_mask: 0.7681, decode.d0.loss_dice: 1.3504, decode.d1.loss_cls: 0.8814, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.2664, decode.d2.loss_cls: 0.8177, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.2142, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7602, decode.d3.loss_dice: 1.1929, decode.d4.loss_cls: 0.7990, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1886, decode.d5.loss_cls: 0.7930, decode.d5.loss_mask: 0.7605, decode.d5.loss_dice: 1.1798, decode.d6.loss_cls: 0.7889, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.1702, decode.d7.loss_cls: 0.7933, decode.d7.loss_mask: 0.7500, decode.d7.loss_dice: 1.1667, decode.d8.loss_cls: 0.7909, decode.d8.loss_mask: 0.7503, decode.d8.loss_dice: 1.1642, loss: 29.4820 2022-04-30 05:49:55,433 - mmseg - INFO - Iter [64850/80000] lr: 2.719e-07, eta: 7:49:31, time: 1.811, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7900, decode.loss_mask: 0.7468, decode.loss_dice: 1.1498, decode.d0.loss_cls: 2.5686, decode.d0.loss_mask: 0.7735, decode.d0.loss_dice: 1.3174, decode.d1.loss_cls: 0.8826, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2557, decode.d2.loss_cls: 0.8316, decode.d2.loss_mask: 0.7686, decode.d2.loss_dice: 1.1932, decode.d3.loss_cls: 0.8123, decode.d3.loss_mask: 0.7579, decode.d3.loss_dice: 1.1674, decode.d4.loss_cls: 0.7992, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.1672, decode.d5.loss_cls: 0.7931, decode.d5.loss_mask: 0.7544, decode.d5.loss_dice: 1.1578, decode.d6.loss_cls: 0.7871, decode.d6.loss_mask: 0.7516, decode.d6.loss_dice: 1.1471, decode.d7.loss_cls: 0.7928, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1463, decode.d8.loss_cls: 0.7865, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.1413, loss: 29.2821 2022-04-30 05:51:26,978 - mmseg - INFO - Iter [64900/80000] lr: 2.710e-07, eta: 7:47:58, time: 1.828, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8058, decode.loss_mask: 0.7516, decode.loss_dice: 1.1868, decode.d0.loss_cls: 2.5630, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3787, decode.d1.loss_cls: 0.8851, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2968, decode.d2.loss_cls: 0.8329, decode.d2.loss_mask: 0.7756, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 0.8189, decode.d3.loss_mask: 0.7615, decode.d3.loss_dice: 1.2059, decode.d4.loss_cls: 0.8112, decode.d4.loss_mask: 0.7587, decode.d4.loss_dice: 1.2133, decode.d5.loss_cls: 0.8042, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.2075, decode.d6.loss_cls: 0.8062, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1912, decode.d7.loss_cls: 0.8040, decode.d7.loss_mask: 0.7543, decode.d7.loss_dice: 1.1858, decode.d8.loss_cls: 0.8051, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1857, loss: 29.8672 2022-04-30 05:52:59,319 - mmseg - INFO - Iter [64950/80000] lr: 2.701e-07, eta: 7:46:24, time: 1.850, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7947, decode.loss_mask: 0.7685, decode.loss_dice: 1.1795, decode.d0.loss_cls: 2.5968, decode.d0.loss_mask: 0.7836, decode.d0.loss_dice: 1.3691, decode.d1.loss_cls: 0.8943, decode.d1.loss_mask: 0.7995, decode.d1.loss_dice: 1.2825, decode.d2.loss_cls: 0.8280, decode.d2.loss_mask: 0.7882, decode.d2.loss_dice: 1.2386, decode.d3.loss_cls: 0.8133, decode.d3.loss_mask: 0.7784, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.8110, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.1982, decode.d5.loss_cls: 0.8033, decode.d5.loss_mask: 0.7684, decode.d5.loss_dice: 1.1930, decode.d6.loss_cls: 0.7947, decode.d6.loss_mask: 0.7709, decode.d6.loss_dice: 1.1846, decode.d7.loss_cls: 0.7962, decode.d7.loss_mask: 0.7681, decode.d7.loss_dice: 1.1856, decode.d8.loss_cls: 0.7899, decode.d8.loss_mask: 0.7697, decode.d8.loss_dice: 1.1842, loss: 29.9120 2022-04-30 05:54:32,847 - mmseg - INFO - Saving checkpoint at 65000 iterations 2022-04-30 05:54:51,565 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 05:54:51,577 - mmseg - INFO - Iter [65000/80000] lr: 2.692e-07, eta: 7:44:56, time: 2.242, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7733, decode.loss_mask: 0.7521, decode.loss_dice: 1.1400, decode.d0.loss_cls: 2.5120, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.3144, decode.d1.loss_cls: 0.8618, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.2394, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.1911, decode.d3.loss_cls: 0.7864, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1707, decode.d4.loss_cls: 0.7844, decode.d4.loss_mask: 0.7625, decode.d4.loss_dice: 1.1714, decode.d5.loss_cls: 0.7802, decode.d5.loss_mask: 0.7607, decode.d5.loss_dice: 1.1640, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7541, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.7725, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.7693, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1549, loss: 29.1074 2022-04-30 05:56:24,597 - mmseg - INFO - Iter [65050/80000] lr: 2.683e-07, eta: 7:43:23, time: 1.864, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7744, decode.loss_mask: 0.7534, decode.loss_dice: 1.1682, decode.d0.loss_cls: 2.5485, decode.d0.loss_mask: 0.7667, decode.d0.loss_dice: 1.3518, decode.d1.loss_cls: 0.8664, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2793, decode.d2.loss_cls: 0.8063, decode.d2.loss_mask: 0.7699, decode.d2.loss_dice: 1.2186, decode.d3.loss_cls: 0.7926, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.1973, decode.d4.loss_cls: 0.7800, decode.d4.loss_mask: 0.7623, decode.d4.loss_dice: 1.1968, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1845, decode.d6.loss_cls: 0.7735, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.1771, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.1766, decode.d8.loss_cls: 0.7639, decode.d8.loss_mask: 0.7552, decode.d8.loss_dice: 1.1734, loss: 29.4073 2022-04-30 05:57:57,179 - mmseg - INFO - Iter [65100/80000] lr: 2.674e-07, eta: 7:41:50, time: 1.852, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7525, decode.loss_mask: 0.7439, decode.loss_dice: 1.1547, decode.d0.loss_cls: 2.4853, decode.d0.loss_mask: 0.7531, decode.d0.loss_dice: 1.3269, decode.d1.loss_cls: 0.8482, decode.d1.loss_mask: 0.7757, decode.d1.loss_dice: 1.2588, decode.d2.loss_cls: 0.7827, decode.d2.loss_mask: 0.7567, decode.d2.loss_dice: 1.2055, decode.d3.loss_cls: 0.7698, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.1818, decode.d4.loss_cls: 0.7678, decode.d4.loss_mask: 0.7517, decode.d4.loss_dice: 1.1761, decode.d5.loss_cls: 0.7574, decode.d5.loss_mask: 0.7499, decode.d5.loss_dice: 1.1764, decode.d6.loss_cls: 0.7558, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.1622, decode.d7.loss_cls: 0.7488, decode.d7.loss_mask: 0.7470, decode.d7.loss_dice: 1.1692, decode.d8.loss_cls: 0.7495, decode.d8.loss_mask: 0.7463, decode.d8.loss_dice: 1.1606, loss: 28.9147 2022-04-30 05:59:31,148 - mmseg - INFO - Iter [65150/80000] lr: 2.665e-07, eta: 7:40:17, time: 1.879, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7268, decode.loss_mask: 0.7398, decode.loss_dice: 1.1160, decode.d0.loss_cls: 2.4733, decode.d0.loss_mask: 0.7466, decode.d0.loss_dice: 1.2841, decode.d1.loss_cls: 0.8106, decode.d1.loss_mask: 0.7619, decode.d1.loss_dice: 1.2068, decode.d2.loss_cls: 0.7571, decode.d2.loss_mask: 0.7479, decode.d2.loss_dice: 1.1573, decode.d3.loss_cls: 0.7433, decode.d3.loss_mask: 0.7438, decode.d3.loss_dice: 1.1326, decode.d4.loss_cls: 0.7391, decode.d4.loss_mask: 0.7448, decode.d4.loss_dice: 1.1356, decode.d5.loss_cls: 0.7321, decode.d5.loss_mask: 0.7401, decode.d5.loss_dice: 1.1250, decode.d6.loss_cls: 0.7320, decode.d6.loss_mask: 0.7353, decode.d6.loss_dice: 1.1152, decode.d7.loss_cls: 0.7320, decode.d7.loss_mask: 0.7373, decode.d7.loss_dice: 1.1122, decode.d8.loss_cls: 0.7289, decode.d8.loss_mask: 0.7382, decode.d8.loss_dice: 1.1128, loss: 28.1085 2022-04-30 06:01:05,019 - mmseg - INFO - Iter [65200/80000] lr: 2.656e-07, eta: 7:38:44, time: 1.878, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7705, decode.loss_mask: 0.7529, decode.loss_dice: 1.1583, decode.d0.loss_cls: 2.5240, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.3335, decode.d1.loss_cls: 0.8554, decode.d1.loss_mask: 0.7920, decode.d1.loss_dice: 1.2522, decode.d2.loss_cls: 0.8026, decode.d2.loss_mask: 0.7719, decode.d2.loss_dice: 1.1966, decode.d3.loss_cls: 0.7858, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.1724, decode.d4.loss_cls: 0.7760, decode.d4.loss_mask: 0.7586, decode.d4.loss_dice: 1.1750, decode.d5.loss_cls: 0.7712, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1666, decode.d6.loss_cls: 0.7728, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.1551, decode.d7.loss_cls: 0.7741, decode.d7.loss_mask: 0.7510, decode.d7.loss_dice: 1.1552, decode.d8.loss_cls: 0.7685, decode.d8.loss_mask: 0.7515, decode.d8.loss_dice: 1.1546, loss: 29.1411 2022-04-30 06:02:38,523 - mmseg - INFO - Iter [65250/80000] lr: 2.647e-07, eta: 7:37:11, time: 1.870, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7586, decode.loss_mask: 0.7674, decode.loss_dice: 1.1575, decode.d0.loss_cls: 2.5089, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3413, decode.d1.loss_cls: 0.8472, decode.d1.loss_mask: 0.7937, decode.d1.loss_dice: 1.2572, decode.d2.loss_cls: 0.7884, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.2087, decode.d3.loss_cls: 0.7772, decode.d3.loss_mask: 0.7709, decode.d3.loss_dice: 1.1709, decode.d4.loss_cls: 0.7708, decode.d4.loss_mask: 0.7676, decode.d4.loss_dice: 1.1745, decode.d5.loss_cls: 0.7653, decode.d5.loss_mask: 0.7715, decode.d5.loss_dice: 1.1665, decode.d6.loss_cls: 0.7648, decode.d6.loss_mask: 0.7652, decode.d6.loss_dice: 1.1563, decode.d7.loss_cls: 0.7608, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.1622, decode.d8.loss_cls: 0.7612, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.1614, loss: 29.1959 2022-04-30 06:04:10,832 - mmseg - INFO - Iter [65300/80000] lr: 2.638e-07, eta: 7:35:38, time: 1.846, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7456, decode.loss_mask: 0.7312, decode.loss_dice: 1.1380, decode.d0.loss_cls: 2.5237, decode.d0.loss_mask: 0.7441, decode.d0.loss_dice: 1.3011, decode.d1.loss_cls: 0.8368, decode.d1.loss_mask: 0.7669, decode.d1.loss_dice: 1.2403, decode.d2.loss_cls: 0.7834, decode.d2.loss_mask: 0.7518, decode.d2.loss_dice: 1.1921, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.1640, decode.d4.loss_cls: 0.7564, decode.d4.loss_mask: 0.7384, decode.d4.loss_dice: 1.1682, decode.d5.loss_cls: 0.7517, decode.d5.loss_mask: 0.7349, decode.d5.loss_dice: 1.1569, decode.d6.loss_cls: 0.7474, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1504, decode.d7.loss_cls: 0.7517, decode.d7.loss_mask: 0.7305, decode.d7.loss_dice: 1.1448, decode.d8.loss_cls: 0.7513, decode.d8.loss_mask: 0.7286, decode.d8.loss_dice: 1.1382, loss: 28.6108 2022-04-30 06:05:43,607 - mmseg - INFO - Iter [65350/80000] lr: 2.629e-07, eta: 7:34:05, time: 1.854, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7682, decode.loss_mask: 0.7521, decode.loss_dice: 1.1574, decode.d0.loss_cls: 2.4899, decode.d0.loss_mask: 0.7776, decode.d0.loss_dice: 1.3357, decode.d1.loss_cls: 0.8676, decode.d1.loss_mask: 0.7897, decode.d1.loss_dice: 1.2564, decode.d2.loss_cls: 0.7983, decode.d2.loss_mask: 0.7712, decode.d2.loss_dice: 1.2058, decode.d3.loss_cls: 0.7826, decode.d3.loss_mask: 0.7608, decode.d3.loss_dice: 1.1809, decode.d4.loss_cls: 0.7653, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.1776, decode.d5.loss_cls: 0.7699, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.1701, decode.d6.loss_cls: 0.7727, decode.d6.loss_mask: 0.7524, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 0.7643, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.1611, decode.d8.loss_cls: 0.7687, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1564, loss: 29.1421 2022-04-30 06:07:16,466 - mmseg - INFO - Iter [65400/80000] lr: 2.621e-07, eta: 7:32:32, time: 1.857, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7586, decode.loss_mask: 0.7630, decode.loss_dice: 1.1544, decode.d0.loss_cls: 2.4795, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.3332, decode.d1.loss_cls: 0.8613, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.2507, decode.d2.loss_cls: 0.7883, decode.d2.loss_mask: 0.7784, decode.d2.loss_dice: 1.2009, decode.d3.loss_cls: 0.7736, decode.d3.loss_mask: 0.7720, decode.d3.loss_dice: 1.1762, decode.d4.loss_cls: 0.7752, decode.d4.loss_mask: 0.7657, decode.d4.loss_dice: 1.1689, decode.d5.loss_cls: 0.7654, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.1704, decode.d6.loss_cls: 0.7652, decode.d6.loss_mask: 0.7632, decode.d6.loss_dice: 1.1588, decode.d7.loss_cls: 0.7607, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.7607, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.1551, loss: 29.1151 2022-04-30 06:08:47,681 - mmseg - INFO - Iter [65450/80000] lr: 2.612e-07, eta: 7:30:59, time: 1.826, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7852, decode.loss_mask: 0.7822, decode.loss_dice: 1.1847, decode.d0.loss_cls: 2.5219, decode.d0.loss_mask: 0.7945, decode.d0.loss_dice: 1.3554, decode.d1.loss_cls: 0.8736, decode.d1.loss_mask: 0.8039, decode.d1.loss_dice: 1.2721, decode.d2.loss_cls: 0.8271, decode.d2.loss_mask: 0.7936, decode.d2.loss_dice: 1.2274, decode.d3.loss_cls: 0.8133, decode.d3.loss_mask: 0.7869, decode.d3.loss_dice: 1.2011, decode.d4.loss_cls: 0.8054, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.1959, decode.d5.loss_cls: 0.7985, decode.d5.loss_mask: 0.7834, decode.d5.loss_dice: 1.1930, decode.d6.loss_cls: 0.7886, decode.d6.loss_mask: 0.7783, decode.d6.loss_dice: 1.1894, decode.d7.loss_cls: 0.7874, decode.d7.loss_mask: 0.7823, decode.d7.loss_dice: 1.1872, decode.d8.loss_cls: 0.7873, decode.d8.loss_mask: 0.7807, decode.d8.loss_dice: 1.1860, loss: 29.8532 2022-04-30 06:10:19,636 - mmseg - INFO - Iter [65500/80000] lr: 2.603e-07, eta: 7:29:26, time: 1.839, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7744, decode.loss_mask: 0.7491, decode.loss_dice: 1.1530, decode.d0.loss_cls: 2.5515, decode.d0.loss_mask: 0.7659, decode.d0.loss_dice: 1.3355, decode.d1.loss_cls: 0.8670, decode.d1.loss_mask: 0.7793, decode.d1.loss_dice: 1.2445, decode.d2.loss_cls: 0.8045, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.2019, decode.d3.loss_cls: 0.7954, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1741, decode.d4.loss_cls: 0.7860, decode.d4.loss_mask: 0.7535, decode.d4.loss_dice: 1.1726, decode.d5.loss_cls: 0.7849, decode.d5.loss_mask: 0.7534, decode.d5.loss_dice: 1.1596, decode.d6.loss_cls: 0.7818, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1548, decode.d7.loss_cls: 0.7732, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7723, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.1613, loss: 29.1870 2022-04-30 06:11:52,016 - mmseg - INFO - Iter [65550/80000] lr: 2.594e-07, eta: 7:27:53, time: 1.847, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7821, decode.loss_mask: 0.7404, decode.loss_dice: 1.1587, decode.d0.loss_cls: 2.5687, decode.d0.loss_mask: 0.7579, decode.d0.loss_dice: 1.3363, decode.d1.loss_cls: 0.8659, decode.d1.loss_mask: 0.7769, decode.d1.loss_dice: 1.2540, decode.d2.loss_cls: 0.8138, decode.d2.loss_mask: 0.7592, decode.d2.loss_dice: 1.2046, decode.d3.loss_cls: 0.8086, decode.d3.loss_mask: 0.7478, decode.d3.loss_dice: 1.1779, decode.d4.loss_cls: 0.7964, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1772, decode.d5.loss_cls: 0.7936, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.1730, decode.d6.loss_cls: 0.7808, decode.d6.loss_mask: 0.7422, decode.d6.loss_dice: 1.1637, decode.d7.loss_cls: 0.7847, decode.d7.loss_mask: 0.7436, decode.d7.loss_dice: 1.1623, decode.d8.loss_cls: 0.7801, decode.d8.loss_mask: 0.7437, decode.d8.loss_dice: 1.1622, loss: 29.2538 2022-04-30 06:13:23,407 - mmseg - INFO - Iter [65600/80000] lr: 2.585e-07, eta: 7:26:19, time: 1.828, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7422, decode.loss_mask: 0.7591, decode.loss_dice: 1.1587, decode.d0.loss_cls: 2.5307, decode.d0.loss_mask: 0.7675, decode.d0.loss_dice: 1.3292, decode.d1.loss_cls: 0.8371, decode.d1.loss_mask: 0.7891, decode.d1.loss_dice: 1.2376, decode.d2.loss_cls: 0.7885, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.1846, decode.d3.loss_cls: 0.7727, decode.d3.loss_mask: 0.7666, decode.d3.loss_dice: 1.1670, decode.d4.loss_cls: 0.7564, decode.d4.loss_mask: 0.7695, decode.d4.loss_dice: 1.1658, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7689, decode.d5.loss_dice: 1.1621, decode.d6.loss_cls: 0.7533, decode.d6.loss_mask: 0.7613, decode.d6.loss_dice: 1.1463, decode.d7.loss_cls: 0.7482, decode.d7.loss_mask: 0.7601, decode.d7.loss_dice: 1.1515, decode.d8.loss_cls: 0.7430, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1567, loss: 28.9594 2022-04-30 06:14:54,689 - mmseg - INFO - Iter [65650/80000] lr: 2.576e-07, eta: 7:24:46, time: 1.825, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7736, decode.loss_mask: 0.7691, decode.loss_dice: 1.1810, decode.d0.loss_cls: 2.5083, decode.d0.loss_mask: 0.7880, decode.d0.loss_dice: 1.3575, decode.d1.loss_cls: 0.8694, decode.d1.loss_mask: 0.8005, decode.d1.loss_dice: 1.2744, decode.d2.loss_cls: 0.8105, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.2228, decode.d3.loss_cls: 0.8022, decode.d3.loss_mask: 0.7776, decode.d3.loss_dice: 1.1957, decode.d4.loss_cls: 0.7961, decode.d4.loss_mask: 0.7741, decode.d4.loss_dice: 1.1906, decode.d5.loss_cls: 0.7867, decode.d5.loss_mask: 0.7706, decode.d5.loss_dice: 1.1802, decode.d6.loss_cls: 0.7836, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1746, decode.d7.loss_cls: 0.7803, decode.d7.loss_mask: 0.7683, decode.d7.loss_dice: 1.1768, decode.d8.loss_cls: 0.7759, decode.d8.loss_mask: 0.7690, decode.d8.loss_dice: 1.1738, loss: 29.5799 2022-04-30 06:16:27,494 - mmseg - INFO - Iter [65700/80000] lr: 2.567e-07, eta: 7:23:13, time: 1.856, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7722, decode.loss_mask: 0.7307, decode.loss_dice: 1.1674, decode.d0.loss_cls: 2.5647, decode.d0.loss_mask: 0.7502, decode.d0.loss_dice: 1.3594, decode.d1.loss_cls: 0.8660, decode.d1.loss_mask: 0.7678, decode.d1.loss_dice: 1.2674, decode.d2.loss_cls: 0.8000, decode.d2.loss_mask: 0.7479, decode.d2.loss_dice: 1.2110, decode.d3.loss_cls: 0.7858, decode.d3.loss_mask: 0.7447, decode.d3.loss_dice: 1.1928, decode.d4.loss_cls: 0.7855, decode.d4.loss_mask: 0.7394, decode.d4.loss_dice: 1.1860, decode.d5.loss_cls: 0.7771, decode.d5.loss_mask: 0.7380, decode.d5.loss_dice: 1.1802, decode.d6.loss_cls: 0.7771, decode.d6.loss_mask: 0.7329, decode.d6.loss_dice: 1.1676, decode.d7.loss_cls: 0.7671, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.1726, decode.d8.loss_cls: 0.7705, decode.d8.loss_mask: 0.7317, decode.d8.loss_dice: 1.1695, loss: 29.1576 2022-04-30 06:17:59,195 - mmseg - INFO - Iter [65750/80000] lr: 2.558e-07, eta: 7:21:40, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7776, decode.loss_mask: 0.7533, decode.loss_dice: 1.1548, decode.d0.loss_cls: 2.5001, decode.d0.loss_mask: 0.7644, decode.d0.loss_dice: 1.3359, decode.d1.loss_cls: 0.8696, decode.d1.loss_mask: 0.7900, decode.d1.loss_dice: 1.2558, decode.d2.loss_cls: 0.8130, decode.d2.loss_mask: 0.7733, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.7968, decode.d3.loss_mask: 0.7644, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.7898, decode.d4.loss_mask: 0.7604, decode.d4.loss_dice: 1.1659, decode.d5.loss_cls: 0.7894, decode.d5.loss_mask: 0.7565, decode.d5.loss_dice: 1.1603, decode.d6.loss_cls: 0.7860, decode.d6.loss_mask: 0.7531, decode.d6.loss_dice: 1.1520, decode.d7.loss_cls: 0.7817, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1567, decode.d8.loss_cls: 0.7786, decode.d8.loss_mask: 0.7566, decode.d8.loss_dice: 1.1553, loss: 29.2178 2022-04-30 06:19:31,748 - mmseg - INFO - Iter [65800/80000] lr: 2.549e-07, eta: 7:20:06, time: 1.851, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7969, decode.loss_mask: 0.7378, decode.loss_dice: 1.1653, decode.d0.loss_cls: 2.5832, decode.d0.loss_mask: 0.7572, decode.d0.loss_dice: 1.3620, decode.d1.loss_cls: 0.8890, decode.d1.loss_mask: 0.7728, decode.d1.loss_dice: 1.2741, decode.d2.loss_cls: 0.8275, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.2252, decode.d3.loss_cls: 0.8205, decode.d3.loss_mask: 0.7515, decode.d3.loss_dice: 1.2014, decode.d4.loss_cls: 0.8137, decode.d4.loss_mask: 0.7439, decode.d4.loss_dice: 1.1916, decode.d5.loss_cls: 0.8094, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.1837, decode.d6.loss_cls: 0.7980, decode.d6.loss_mask: 0.7432, decode.d6.loss_dice: 1.1668, decode.d7.loss_cls: 0.7993, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1688, decode.d8.loss_cls: 0.8018, decode.d8.loss_mask: 0.7437, decode.d8.loss_dice: 1.1690, loss: 29.5399 2022-04-30 06:21:04,848 - mmseg - INFO - Iter [65850/80000] lr: 2.540e-07, eta: 7:18:34, time: 1.862, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7944, decode.loss_mask: 0.7306, decode.loss_dice: 1.1708, decode.d0.loss_cls: 2.6350, decode.d0.loss_mask: 0.7453, decode.d0.loss_dice: 1.3503, decode.d1.loss_cls: 0.8933, decode.d1.loss_mask: 0.7708, decode.d1.loss_dice: 1.2633, decode.d2.loss_cls: 0.8328, decode.d2.loss_mask: 0.7527, decode.d2.loss_dice: 1.2201, decode.d3.loss_cls: 0.8130, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.1947, decode.d4.loss_cls: 0.8021, decode.d4.loss_mask: 0.7420, decode.d4.loss_dice: 1.1933, decode.d5.loss_cls: 0.7997, decode.d5.loss_mask: 0.7407, decode.d5.loss_dice: 1.1905, decode.d6.loss_cls: 0.8002, decode.d6.loss_mask: 0.7341, decode.d6.loss_dice: 1.1743, decode.d7.loss_cls: 0.7933, decode.d7.loss_mask: 0.7343, decode.d7.loss_dice: 1.1738, decode.d8.loss_cls: 0.7919, decode.d8.loss_mask: 0.7337, decode.d8.loss_dice: 1.1736, loss: 29.4869 2022-04-30 06:22:37,080 - mmseg - INFO - Iter [65900/80000] lr: 2.531e-07, eta: 7:17:00, time: 1.845, data_time: 0.014, memory: 64979, decode.loss_cls: 0.8007, decode.loss_mask: 0.7416, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5292, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.3572, decode.d1.loss_cls: 0.8834, decode.d1.loss_mask: 0.7730, decode.d1.loss_dice: 1.2691, decode.d2.loss_cls: 0.8333, decode.d2.loss_mask: 0.7601, decode.d2.loss_dice: 1.2221, decode.d3.loss_cls: 0.8166, decode.d3.loss_mask: 0.7533, decode.d3.loss_dice: 1.2029, decode.d4.loss_cls: 0.8101, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.1965, decode.d5.loss_cls: 0.8075, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.8020, decode.d6.loss_mask: 0.7461, decode.d6.loss_dice: 1.1780, decode.d7.loss_cls: 0.7973, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1801, decode.d8.loss_cls: 0.7989, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.1780, loss: 29.5518 2022-04-30 06:24:09,591 - mmseg - INFO - Iter [65950/80000] lr: 2.522e-07, eta: 7:15:27, time: 1.850, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7652, decode.loss_mask: 0.7610, decode.loss_dice: 1.1757, decode.d0.loss_cls: 2.4926, decode.d0.loss_mask: 0.7714, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 0.8496, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2662, decode.d2.loss_cls: 0.7993, decode.d2.loss_mask: 0.7786, decode.d2.loss_dice: 1.2152, decode.d3.loss_cls: 0.7864, decode.d3.loss_mask: 0.7685, decode.d3.loss_dice: 1.1887, decode.d4.loss_cls: 0.7698, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.1902, decode.d5.loss_cls: 0.7687, decode.d5.loss_mask: 0.7638, decode.d5.loss_dice: 1.1804, decode.d6.loss_cls: 0.7609, decode.d6.loss_mask: 0.7654, decode.d6.loss_dice: 1.1715, decode.d7.loss_cls: 0.7652, decode.d7.loss_mask: 0.7648, decode.d7.loss_dice: 1.1746, decode.d8.loss_cls: 0.7627, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1708, loss: 29.2912 2022-04-30 06:25:41,823 - mmseg - INFO - Saving checkpoint at 66000 iterations 2022-04-30 06:26:11,381 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 06:26:11,396 - mmseg - INFO - Iter [66000/80000] lr: 2.513e-07, eta: 7:14:00, time: 2.432, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7721, decode.loss_mask: 0.7520, decode.loss_dice: 1.1705, decode.d0.loss_cls: 2.5302, decode.d0.loss_mask: 0.7725, decode.d0.loss_dice: 1.3443, decode.d1.loss_cls: 0.8655, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.2625, decode.d2.loss_cls: 0.8143, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2088, decode.d3.loss_cls: 0.7929, decode.d3.loss_mask: 0.7594, decode.d3.loss_dice: 1.1904, decode.d4.loss_cls: 0.7790, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1825, decode.d5.loss_cls: 0.7770, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.1828, decode.d6.loss_cls: 0.7749, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.1721, decode.d7.loss_cls: 0.7693, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.1676, decode.d8.loss_cls: 0.7685, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1681, loss: 29.3023 2022-04-30 06:27:44,777 - mmseg - INFO - Iter [66050/80000] lr: 2.504e-07, eta: 7:12:28, time: 1.872, data_time: 0.019, memory: 64979, decode.loss_cls: 0.7698, decode.loss_mask: 0.7403, decode.loss_dice: 1.1457, decode.d0.loss_cls: 2.5570, decode.d0.loss_mask: 0.7650, decode.d0.loss_dice: 1.3275, decode.d1.loss_cls: 0.8558, decode.d1.loss_mask: 0.7768, decode.d1.loss_dice: 1.2483, decode.d2.loss_cls: 0.8008, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.1920, decode.d3.loss_cls: 0.7897, decode.d3.loss_mask: 0.7510, decode.d3.loss_dice: 1.1695, decode.d4.loss_cls: 0.7769, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.1637, decode.d5.loss_cls: 0.7698, decode.d5.loss_mask: 0.7474, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.7732, decode.d6.loss_mask: 0.7420, decode.d6.loss_dice: 1.1495, decode.d7.loss_cls: 0.7691, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1511, decode.d8.loss_cls: 0.7691, decode.d8.loss_mask: 0.7396, decode.d8.loss_dice: 1.1443, loss: 29.0042 2022-04-30 06:29:17,291 - mmseg - INFO - Iter [66100/80000] lr: 2.495e-07, eta: 7:10:54, time: 1.850, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8078, decode.loss_mask: 0.7385, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.5791, decode.d0.loss_mask: 0.7490, decode.d0.loss_dice: 1.3373, decode.d1.loss_cls: 0.9087, decode.d1.loss_mask: 0.7746, decode.d1.loss_dice: 1.2618, decode.d2.loss_cls: 0.8445, decode.d2.loss_mask: 0.7548, decode.d2.loss_dice: 1.2038, decode.d3.loss_cls: 0.8319, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1789, decode.d4.loss_cls: 0.8198, decode.d4.loss_mask: 0.7430, decode.d4.loss_dice: 1.1743, decode.d5.loss_cls: 0.8135, decode.d5.loss_mask: 0.7388, decode.d5.loss_dice: 1.1691, decode.d6.loss_cls: 0.8162, decode.d6.loss_mask: 0.7358, decode.d6.loss_dice: 1.1594, decode.d7.loss_cls: 0.8126, decode.d7.loss_mask: 0.7388, decode.d7.loss_dice: 1.1613, decode.d8.loss_cls: 0.8062, decode.d8.loss_mask: 0.7362, decode.d8.loss_dice: 1.1576, loss: 29.4530 2022-04-30 06:30:50,552 - mmseg - INFO - Iter [66150/80000] lr: 2.486e-07, eta: 7:09:21, time: 1.863, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7926, decode.loss_mask: 0.7556, decode.loss_dice: 1.1812, decode.d0.loss_cls: 2.5789, decode.d0.loss_mask: 0.7761, decode.d0.loss_dice: 1.3642, decode.d1.loss_cls: 0.8763, decode.d1.loss_mask: 0.7877, decode.d1.loss_dice: 1.2784, decode.d2.loss_cls: 0.8230, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.8084, decode.d3.loss_mask: 0.7648, decode.d3.loss_dice: 1.1986, decode.d4.loss_cls: 0.7995, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.1912, decode.d5.loss_cls: 0.7950, decode.d5.loss_mask: 0.7590, decode.d5.loss_dice: 1.1920, decode.d6.loss_cls: 0.8006, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.1744, decode.d7.loss_cls: 0.7916, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1823, decode.d8.loss_cls: 0.7927, decode.d8.loss_mask: 0.7536, decode.d8.loss_dice: 1.1758, loss: 29.6502 2022-04-30 06:32:22,867 - mmseg - INFO - Iter [66200/80000] lr: 2.477e-07, eta: 7:07:48, time: 1.848, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7784, decode.loss_mask: 0.7387, decode.loss_dice: 1.1307, decode.d0.loss_cls: 2.5392, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3095, decode.d1.loss_cls: 0.8687, decode.d1.loss_mask: 0.7737, decode.d1.loss_dice: 1.2290, decode.d2.loss_cls: 0.8110, decode.d2.loss_mask: 0.7594, decode.d2.loss_dice: 1.1805, decode.d3.loss_cls: 0.7900, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1567, decode.d4.loss_cls: 0.7892, decode.d4.loss_mask: 0.7500, decode.d4.loss_dice: 1.1513, decode.d5.loss_cls: 0.7811, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.1505, decode.d6.loss_cls: 0.7777, decode.d6.loss_mask: 0.7446, decode.d6.loss_dice: 1.1373, decode.d7.loss_cls: 0.7757, decode.d7.loss_mask: 0.7420, decode.d7.loss_dice: 1.1378, decode.d8.loss_cls: 0.7726, decode.d8.loss_mask: 0.7391, decode.d8.loss_dice: 1.1315, loss: 28.9055 2022-04-30 06:33:55,123 - mmseg - INFO - Iter [66250/80000] lr: 2.468e-07, eta: 7:06:15, time: 1.845, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7401, decode.loss_mask: 0.7616, decode.loss_dice: 1.1578, decode.d0.loss_cls: 2.4776, decode.d0.loss_mask: 0.7838, decode.d0.loss_dice: 1.3310, decode.d1.loss_cls: 0.8354, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.2576, decode.d2.loss_cls: 0.7807, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.2077, decode.d3.loss_cls: 0.7625, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.1811, decode.d4.loss_cls: 0.7557, decode.d4.loss_mask: 0.7686, decode.d4.loss_dice: 1.1810, decode.d5.loss_cls: 0.7515, decode.d5.loss_mask: 0.7641, decode.d5.loss_dice: 1.1709, decode.d6.loss_cls: 0.7503, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1618, decode.d7.loss_cls: 0.7438, decode.d7.loss_mask: 0.7648, decode.d7.loss_dice: 1.1632, decode.d8.loss_cls: 0.7389, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.1638, loss: 29.0308 2022-04-30 06:35:25,399 - mmseg - INFO - Iter [66300/80000] lr: 2.459e-07, eta: 7:04:42, time: 1.805, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7549, decode.loss_mask: 0.7380, decode.loss_dice: 1.1519, decode.d0.loss_cls: 2.5132, decode.d0.loss_mask: 0.7663, decode.d0.loss_dice: 1.3193, decode.d1.loss_cls: 0.8453, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2447, decode.d2.loss_cls: 0.7879, decode.d2.loss_mask: 0.7563, decode.d2.loss_dice: 1.1936, decode.d3.loss_cls: 0.7724, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1715, decode.d4.loss_cls: 0.7659, decode.d4.loss_mask: 0.7470, decode.d4.loss_dice: 1.1689, decode.d5.loss_cls: 0.7666, decode.d5.loss_mask: 0.7457, decode.d5.loss_dice: 1.1675, decode.d6.loss_cls: 0.7597, decode.d6.loss_mask: 0.7402, decode.d6.loss_dice: 1.1517, decode.d7.loss_cls: 0.7509, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1545, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7378, decode.d8.loss_dice: 1.1539, loss: 28.8529 2022-04-30 06:36:59,048 - mmseg - INFO - Iter [66350/80000] lr: 2.450e-07, eta: 7:03:09, time: 1.873, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7561, decode.loss_mask: 0.7132, decode.loss_dice: 1.1416, decode.d0.loss_cls: 2.4802, decode.d0.loss_mask: 0.7283, decode.d0.loss_dice: 1.3186, decode.d1.loss_cls: 0.8386, decode.d1.loss_mask: 0.7426, decode.d1.loss_dice: 1.2443, decode.d2.loss_cls: 0.7852, decode.d2.loss_mask: 0.7268, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.7762, decode.d3.loss_mask: 0.7232, decode.d3.loss_dice: 1.1705, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7185, decode.d4.loss_dice: 1.1650, decode.d5.loss_cls: 0.7610, decode.d5.loss_mask: 0.7167, decode.d5.loss_dice: 1.1560, decode.d6.loss_cls: 0.7604, decode.d6.loss_mask: 0.7124, decode.d6.loss_dice: 1.1428, decode.d7.loss_cls: 0.7600, decode.d7.loss_mask: 0.7149, decode.d7.loss_dice: 1.1500, decode.d8.loss_cls: 0.7568, decode.d8.loss_mask: 0.7126, decode.d8.loss_dice: 1.1445, loss: 28.4780 2022-04-30 06:38:30,528 - mmseg - INFO - Iter [66400/80000] lr: 2.441e-07, eta: 7:01:35, time: 1.830, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7898, decode.loss_mask: 0.7335, decode.loss_dice: 1.1445, decode.d0.loss_cls: 2.5654, decode.d0.loss_mask: 0.7480, decode.d0.loss_dice: 1.3283, decode.d1.loss_cls: 0.8798, decode.d1.loss_mask: 0.7626, decode.d1.loss_dice: 1.2503, decode.d2.loss_cls: 0.8225, decode.d2.loss_mask: 0.7475, decode.d2.loss_dice: 1.1993, decode.d3.loss_cls: 0.8033, decode.d3.loss_mask: 0.7445, decode.d3.loss_dice: 1.1738, decode.d4.loss_cls: 0.7979, decode.d4.loss_mask: 0.7410, decode.d4.loss_dice: 1.1662, decode.d5.loss_cls: 0.7997, decode.d5.loss_mask: 0.7393, decode.d5.loss_dice: 1.1582, decode.d6.loss_cls: 0.7912, decode.d6.loss_mask: 0.7348, decode.d6.loss_dice: 1.1470, decode.d7.loss_cls: 0.7902, decode.d7.loss_mask: 0.7335, decode.d7.loss_dice: 1.1467, decode.d8.loss_cls: 0.7873, decode.d8.loss_mask: 0.7345, decode.d8.loss_dice: 1.1537, loss: 29.1143 2022-04-30 06:40:02,258 - mmseg - INFO - Iter [66450/80000] lr: 2.432e-07, eta: 7:00:02, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7526, decode.loss_mask: 0.7296, decode.loss_dice: 1.1251, decode.d0.loss_cls: 2.4991, decode.d0.loss_mask: 0.7445, decode.d0.loss_dice: 1.3047, decode.d1.loss_cls: 0.8445, decode.d1.loss_mask: 0.7634, decode.d1.loss_dice: 1.2400, decode.d2.loss_cls: 0.7881, decode.d2.loss_mask: 0.7459, decode.d2.loss_dice: 1.1796, decode.d3.loss_cls: 0.7767, decode.d3.loss_mask: 0.7329, decode.d3.loss_dice: 1.1402, decode.d4.loss_cls: 0.7651, decode.d4.loss_mask: 0.7321, decode.d4.loss_dice: 1.1417, decode.d5.loss_cls: 0.7570, decode.d5.loss_mask: 0.7337, decode.d5.loss_dice: 1.1407, decode.d6.loss_cls: 0.7579, decode.d6.loss_mask: 0.7261, decode.d6.loss_dice: 1.1264, decode.d7.loss_cls: 0.7504, decode.d7.loss_mask: 0.7276, decode.d7.loss_dice: 1.1286, decode.d8.loss_cls: 0.7480, decode.d8.loss_mask: 0.7298, decode.d8.loss_dice: 1.1304, loss: 28.4623 2022-04-30 06:41:33,327 - mmseg - INFO - Iter [66500/80000] lr: 2.423e-07, eta: 6:58:29, time: 1.822, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7432, decode.loss_mask: 0.7640, decode.loss_dice: 1.1660, decode.d0.loss_cls: 2.5194, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.3398, decode.d1.loss_cls: 0.8366, decode.d1.loss_mask: 0.8002, decode.d1.loss_dice: 1.2710, decode.d2.loss_cls: 0.7797, decode.d2.loss_mask: 0.7838, decode.d2.loss_dice: 1.2111, decode.d3.loss_cls: 0.7629, decode.d3.loss_mask: 0.7766, decode.d3.loss_dice: 1.1835, decode.d4.loss_cls: 0.7553, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.1822, decode.d5.loss_cls: 0.7514, decode.d5.loss_mask: 0.7686, decode.d5.loss_dice: 1.1776, decode.d6.loss_cls: 0.7539, decode.d6.loss_mask: 0.7663, decode.d6.loss_dice: 1.1740, decode.d7.loss_cls: 0.7453, decode.d7.loss_mask: 0.7636, decode.d7.loss_dice: 1.1707, decode.d8.loss_cls: 0.7459, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.1697, loss: 29.1773 2022-04-30 06:43:06,883 - mmseg - INFO - Iter [66550/80000] lr: 2.414e-07, eta: 6:56:56, time: 1.870, data_time: 0.064, memory: 64979, decode.loss_cls: 0.7538, decode.loss_mask: 0.7345, decode.loss_dice: 1.1204, decode.d0.loss_cls: 2.5110, decode.d0.loss_mask: 0.7567, decode.d0.loss_dice: 1.3061, decode.d1.loss_cls: 0.8489, decode.d1.loss_mask: 0.7695, decode.d1.loss_dice: 1.2274, decode.d2.loss_cls: 0.7899, decode.d2.loss_mask: 0.7577, decode.d2.loss_dice: 1.1770, decode.d3.loss_cls: 0.7777, decode.d3.loss_mask: 0.7423, decode.d3.loss_dice: 1.1405, decode.d4.loss_cls: 0.7725, decode.d4.loss_mask: 0.7389, decode.d4.loss_dice: 1.1405, decode.d5.loss_cls: 0.7609, decode.d5.loss_mask: 0.7401, decode.d5.loss_dice: 1.1387, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7377, decode.d6.loss_dice: 1.1241, decode.d7.loss_cls: 0.7571, decode.d7.loss_mask: 0.7339, decode.d7.loss_dice: 1.1214, decode.d8.loss_cls: 0.7500, decode.d8.loss_mask: 0.7372, decode.d8.loss_dice: 1.1248, loss: 28.5514 2022-04-30 06:44:37,888 - mmseg - INFO - Iter [66600/80000] lr: 2.405e-07, eta: 6:55:22, time: 1.818, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7653, decode.loss_mask: 0.7318, decode.loss_dice: 1.1438, decode.d0.loss_cls: 2.4967, decode.d0.loss_mask: 0.7378, decode.d0.loss_dice: 1.3048, decode.d1.loss_cls: 0.8512, decode.d1.loss_mask: 0.7617, decode.d1.loss_dice: 1.2323, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7485, decode.d2.loss_dice: 1.1932, decode.d3.loss_cls: 0.7829, decode.d3.loss_mask: 0.7419, decode.d3.loss_dice: 1.1633, decode.d4.loss_cls: 0.7748, decode.d4.loss_mask: 0.7419, decode.d4.loss_dice: 1.1659, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7373, decode.d5.loss_dice: 1.1613, decode.d6.loss_cls: 0.7678, decode.d6.loss_mask: 0.7333, decode.d6.loss_dice: 1.1520, decode.d7.loss_cls: 0.7622, decode.d7.loss_mask: 0.7326, decode.d7.loss_dice: 1.1474, decode.d8.loss_cls: 0.7648, decode.d8.loss_mask: 0.7329, decode.d8.loss_dice: 1.1457, loss: 28.7478 2022-04-30 06:46:10,039 - mmseg - INFO - Iter [66650/80000] lr: 2.396e-07, eta: 6:53:49, time: 1.846, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7442, decode.loss_mask: 0.7327, decode.loss_dice: 1.1159, decode.d0.loss_cls: 2.5298, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.2847, decode.d1.loss_cls: 0.8401, decode.d1.loss_mask: 0.7666, decode.d1.loss_dice: 1.2126, decode.d2.loss_cls: 0.7760, decode.d2.loss_mask: 0.7521, decode.d2.loss_dice: 1.1660, decode.d3.loss_cls: 0.7585, decode.d3.loss_mask: 0.7369, decode.d3.loss_dice: 1.1366, decode.d4.loss_cls: 0.7517, decode.d4.loss_mask: 0.7364, decode.d4.loss_dice: 1.1332, decode.d5.loss_cls: 0.7565, decode.d5.loss_mask: 0.7318, decode.d5.loss_dice: 1.1286, decode.d6.loss_cls: 0.7437, decode.d6.loss_mask: 0.7302, decode.d6.loss_dice: 1.1196, decode.d7.loss_cls: 0.7452, decode.d7.loss_mask: 0.7318, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.7469, decode.d8.loss_mask: 0.7326, decode.d8.loss_dice: 1.1165, loss: 28.3123 2022-04-30 06:47:41,728 - mmseg - INFO - Iter [66700/80000] lr: 2.387e-07, eta: 6:52:16, time: 1.834, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7521, decode.loss_mask: 0.7534, decode.loss_dice: 1.1467, decode.d0.loss_cls: 2.4751, decode.d0.loss_mask: 0.7751, decode.d0.loss_dice: 1.3188, decode.d1.loss_cls: 0.8407, decode.d1.loss_mask: 0.7939, decode.d1.loss_dice: 1.2524, decode.d2.loss_cls: 0.7867, decode.d2.loss_mask: 0.7778, decode.d2.loss_dice: 1.1975, decode.d3.loss_cls: 0.7729, decode.d3.loss_mask: 0.7714, decode.d3.loss_dice: 1.1677, decode.d4.loss_cls: 0.7676, decode.d4.loss_mask: 0.7642, decode.d4.loss_dice: 1.1620, decode.d5.loss_cls: 0.7600, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.1524, decode.d6.loss_cls: 0.7545, decode.d6.loss_mask: 0.7560, decode.d6.loss_dice: 1.1455, decode.d7.loss_cls: 0.7478, decode.d7.loss_mask: 0.7560, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7537, decode.d8.loss_mask: 0.7542, decode.d8.loss_dice: 1.1515, loss: 28.9237 2022-04-30 06:49:12,805 - mmseg - INFO - Iter [66750/80000] lr: 2.378e-07, eta: 6:50:43, time: 1.821, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7807, decode.loss_mask: 0.7259, decode.loss_dice: 1.1462, decode.d0.loss_cls: 2.5549, decode.d0.loss_mask: 0.7449, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 0.8697, decode.d1.loss_mask: 0.7700, decode.d1.loss_dice: 1.2505, decode.d2.loss_cls: 0.8106, decode.d2.loss_mask: 0.7521, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.8019, decode.d3.loss_mask: 0.7359, decode.d3.loss_dice: 1.1669, decode.d4.loss_cls: 0.7977, decode.d4.loss_mask: 0.7352, decode.d4.loss_dice: 1.1652, decode.d5.loss_cls: 0.7908, decode.d5.loss_mask: 0.7324, decode.d5.loss_dice: 1.1590, decode.d6.loss_cls: 0.7816, decode.d6.loss_mask: 0.7331, decode.d6.loss_dice: 1.1473, decode.d7.loss_cls: 0.7820, decode.d7.loss_mask: 0.7306, decode.d7.loss_dice: 1.1449, decode.d8.loss_cls: 0.7723, decode.d8.loss_mask: 0.7293, decode.d8.loss_dice: 1.1463, loss: 28.9748 2022-04-30 06:50:45,598 - mmseg - INFO - Iter [66800/80000] lr: 2.369e-07, eta: 6:49:10, time: 1.856, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7647, decode.loss_mask: 0.7393, decode.loss_dice: 1.1357, decode.d0.loss_cls: 2.5553, decode.d0.loss_mask: 0.7441, decode.d0.loss_dice: 1.3170, decode.d1.loss_cls: 0.8576, decode.d1.loss_mask: 0.7717, decode.d1.loss_dice: 1.2394, decode.d2.loss_cls: 0.7958, decode.d2.loss_mask: 0.7581, decode.d2.loss_dice: 1.1774, decode.d3.loss_cls: 0.7876, decode.d3.loss_mask: 0.7467, decode.d3.loss_dice: 1.1533, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7465, decode.d4.loss_dice: 1.1457, decode.d5.loss_cls: 0.7710, decode.d5.loss_mask: 0.7477, decode.d5.loss_dice: 1.1476, decode.d6.loss_cls: 0.7648, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1311, decode.d7.loss_cls: 0.7654, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1352, decode.d8.loss_cls: 0.7600, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.1305, loss: 28.7939 2022-04-30 06:52:18,750 - mmseg - INFO - Iter [66850/80000] lr: 2.360e-07, eta: 6:47:37, time: 1.862, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8010, decode.loss_mask: 0.7385, decode.loss_dice: 1.1937, decode.d0.loss_cls: 2.5762, decode.d0.loss_mask: 0.7553, decode.d0.loss_dice: 1.3767, decode.d1.loss_cls: 0.8967, decode.d1.loss_mask: 0.7665, decode.d1.loss_dice: 1.2949, decode.d2.loss_cls: 0.8424, decode.d2.loss_mask: 0.7592, decode.d2.loss_dice: 1.2410, decode.d3.loss_cls: 0.8188, decode.d3.loss_mask: 0.7481, decode.d3.loss_dice: 1.2186, decode.d4.loss_cls: 0.8099, decode.d4.loss_mask: 0.7472, decode.d4.loss_dice: 1.2119, decode.d5.loss_cls: 0.8000, decode.d5.loss_mask: 0.7486, decode.d5.loss_dice: 1.2093, decode.d6.loss_cls: 0.8019, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.2002, decode.d7.loss_cls: 0.8017, decode.d7.loss_mask: 0.7407, decode.d7.loss_dice: 1.2006, decode.d8.loss_cls: 0.8061, decode.d8.loss_mask: 0.7414, decode.d8.loss_dice: 1.1959, loss: 29.7854 2022-04-30 06:53:51,803 - mmseg - INFO - Iter [66900/80000] lr: 2.351e-07, eta: 6:46:04, time: 1.862, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7522, decode.loss_mask: 0.7630, decode.loss_dice: 1.1765, decode.d0.loss_cls: 2.5487, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.3653, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7922, decode.d1.loss_dice: 1.2695, decode.d2.loss_cls: 0.7944, decode.d2.loss_mask: 0.7714, decode.d2.loss_dice: 1.2216, decode.d3.loss_cls: 0.7804, decode.d3.loss_mask: 0.7690, decode.d3.loss_dice: 1.1982, decode.d4.loss_cls: 0.7723, decode.d4.loss_mask: 0.7651, decode.d4.loss_dice: 1.1972, decode.d5.loss_cls: 0.7653, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.1939, decode.d6.loss_cls: 0.7557, decode.d6.loss_mask: 0.7664, decode.d6.loss_dice: 1.1802, decode.d7.loss_cls: 0.7558, decode.d7.loss_mask: 0.7637, decode.d7.loss_dice: 1.1852, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7616, decode.d8.loss_dice: 1.1782, loss: 29.3972 2022-04-30 06:55:25,489 - mmseg - INFO - Iter [66950/80000] lr: 2.342e-07, eta: 6:44:31, time: 1.874, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7518, decode.loss_mask: 0.7387, decode.loss_dice: 1.1441, decode.d0.loss_cls: 2.4578, decode.d0.loss_mask: 0.7628, decode.d0.loss_dice: 1.3153, decode.d1.loss_cls: 0.8424, decode.d1.loss_mask: 0.7764, decode.d1.loss_dice: 1.2394, decode.d2.loss_cls: 0.7926, decode.d2.loss_mask: 0.7569, decode.d2.loss_dice: 1.1889, decode.d3.loss_cls: 0.7741, decode.d3.loss_mask: 0.7544, decode.d3.loss_dice: 1.1537, decode.d4.loss_cls: 0.7627, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1557, decode.d5.loss_cls: 0.7588, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.1529, decode.d6.loss_cls: 0.7542, decode.d6.loss_mask: 0.7412, decode.d6.loss_dice: 1.1361, decode.d7.loss_cls: 0.7534, decode.d7.loss_mask: 0.7429, decode.d7.loss_dice: 1.1417, decode.d8.loss_cls: 0.7533, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.1403, loss: 28.6807 2022-04-30 06:56:57,153 - mmseg - INFO - Saving checkpoint at 67000 iterations 2022-04-30 06:57:15,879 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 06:57:15,894 - mmseg - INFO - Iter [67000/80000] lr: 2.333e-07, eta: 6:43:01, time: 2.205, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7364, decode.loss_mask: 0.7412, decode.loss_dice: 1.1093, decode.d0.loss_cls: 2.4818, decode.d0.loss_mask: 0.7529, decode.d0.loss_dice: 1.2844, decode.d1.loss_cls: 0.8306, decode.d1.loss_mask: 0.7800, decode.d1.loss_dice: 1.2153, decode.d2.loss_cls: 0.7701, decode.d2.loss_mask: 0.7603, decode.d2.loss_dice: 1.1608, decode.d3.loss_cls: 0.7567, decode.d3.loss_mask: 0.7480, decode.d3.loss_dice: 1.1387, decode.d4.loss_cls: 0.7400, decode.d4.loss_mask: 0.7496, decode.d4.loss_dice: 1.1387, decode.d5.loss_cls: 0.7405, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.1214, decode.d6.loss_cls: 0.7289, decode.d6.loss_mask: 0.7446, decode.d6.loss_dice: 1.1209, decode.d7.loss_cls: 0.7341, decode.d7.loss_mask: 0.7423, decode.d7.loss_dice: 1.1156, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.1167, loss: 28.2804 2022-04-30 06:58:48,545 - mmseg - INFO - Iter [67050/80000] lr: 2.324e-07, eta: 6:41:28, time: 1.856, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7555, decode.loss_mask: 0.7546, decode.loss_dice: 1.1581, decode.d0.loss_cls: 2.5072, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.3456, decode.d1.loss_cls: 0.8539, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.2638, decode.d2.loss_cls: 0.7884, decode.d2.loss_mask: 0.7706, decode.d2.loss_dice: 1.2095, decode.d3.loss_cls: 0.7637, decode.d3.loss_mask: 0.7601, decode.d3.loss_dice: 1.1794, decode.d4.loss_cls: 0.7631, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.1778, decode.d5.loss_cls: 0.7556, decode.d5.loss_mask: 0.7614, decode.d5.loss_dice: 1.1703, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7568, decode.d6.loss_dice: 1.1626, decode.d7.loss_cls: 0.7539, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1603, decode.d8.loss_cls: 0.7543, decode.d8.loss_mask: 0.7565, decode.d8.loss_dice: 1.1617, loss: 29.0780 2022-04-30 07:00:20,565 - mmseg - INFO - Iter [67100/80000] lr: 2.315e-07, eta: 6:39:55, time: 1.840, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7437, decode.loss_mask: 0.7342, decode.loss_dice: 1.1428, decode.d0.loss_cls: 2.4986, decode.d0.loss_mask: 0.7482, decode.d0.loss_dice: 1.3170, decode.d1.loss_cls: 0.8281, decode.d1.loss_mask: 0.7694, decode.d1.loss_dice: 1.2387, decode.d2.loss_cls: 0.7741, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.1883, decode.d3.loss_cls: 0.7648, decode.d3.loss_mask: 0.7410, decode.d3.loss_dice: 1.1639, decode.d4.loss_cls: 0.7556, decode.d4.loss_mask: 0.7409, decode.d4.loss_dice: 1.1630, decode.d5.loss_cls: 0.7526, decode.d5.loss_mask: 0.7364, decode.d5.loss_dice: 1.1500, decode.d6.loss_cls: 0.7438, decode.d6.loss_mask: 0.7336, decode.d6.loss_dice: 1.1414, decode.d7.loss_cls: 0.7432, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.1460, decode.d8.loss_cls: 0.7387, decode.d8.loss_mask: 0.7337, decode.d8.loss_dice: 1.1417, loss: 28.5690 2022-04-30 07:01:53,546 - mmseg - INFO - Iter [67150/80000] lr: 2.306e-07, eta: 6:38:22, time: 1.859, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7901, decode.loss_mask: 0.7565, decode.loss_dice: 1.1730, decode.d0.loss_cls: 2.5794, decode.d0.loss_mask: 0.7705, decode.d0.loss_dice: 1.3523, decode.d1.loss_cls: 0.8850, decode.d1.loss_mask: 0.7888, decode.d1.loss_dice: 1.2768, decode.d2.loss_cls: 0.8215, decode.d2.loss_mask: 0.7754, decode.d2.loss_dice: 1.2225, decode.d3.loss_cls: 0.8105, decode.d3.loss_mask: 0.7632, decode.d3.loss_dice: 1.1971, decode.d4.loss_cls: 0.8008, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.1936, decode.d5.loss_cls: 0.7941, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.1892, decode.d6.loss_cls: 0.7932, decode.d6.loss_mask: 0.7611, decode.d6.loss_dice: 1.1773, decode.d7.loss_cls: 0.7920, decode.d7.loss_mask: 0.7596, decode.d7.loss_dice: 1.1844, decode.d8.loss_cls: 0.7865, decode.d8.loss_mask: 0.7591, decode.d8.loss_dice: 1.1793, loss: 29.6583 2022-04-30 07:03:25,542 - mmseg - INFO - Iter [67200/80000] lr: 2.297e-07, eta: 6:36:49, time: 1.840, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7458, decode.loss_mask: 0.7628, decode.loss_dice: 1.1617, decode.d0.loss_cls: 2.5170, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3347, decode.d1.loss_cls: 0.8417, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.2612, decode.d2.loss_cls: 0.7857, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 0.7674, decode.d3.loss_mask: 0.7738, decode.d3.loss_dice: 1.1786, decode.d4.loss_cls: 0.7573, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.1850, decode.d5.loss_cls: 0.7568, decode.d5.loss_mask: 0.7675, decode.d5.loss_dice: 1.1732, decode.d6.loss_cls: 0.7493, decode.d6.loss_mask: 0.7668, decode.d6.loss_dice: 1.1591, decode.d7.loss_cls: 0.7481, decode.d7.loss_mask: 0.7606, decode.d7.loss_dice: 1.1594, decode.d8.loss_cls: 0.7471, decode.d8.loss_mask: 0.7630, decode.d8.loss_dice: 1.1636, loss: 29.1218 2022-04-30 07:04:58,096 - mmseg - INFO - Iter [67250/80000] lr: 2.288e-07, eta: 6:35:16, time: 1.851, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7982, decode.loss_mask: 0.7427, decode.loss_dice: 1.1953, decode.d0.loss_cls: 2.6008, decode.d0.loss_mask: 0.7560, decode.d0.loss_dice: 1.3826, decode.d1.loss_cls: 0.9101, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2916, decode.d2.loss_cls: 0.8385, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.2465, decode.d3.loss_cls: 0.8235, decode.d3.loss_mask: 0.7526, decode.d3.loss_dice: 1.2117, decode.d4.loss_cls: 0.8130, decode.d4.loss_mask: 0.7456, decode.d4.loss_dice: 1.2124, decode.d5.loss_cls: 0.8118, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.2055, decode.d6.loss_cls: 0.8036, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1991, decode.d7.loss_cls: 0.7966, decode.d7.loss_mask: 0.7454, decode.d7.loss_dice: 1.2020, decode.d8.loss_cls: 0.7951, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.1956, loss: 29.8476 2022-04-30 07:06:32,752 - mmseg - INFO - Iter [67300/80000] lr: 2.280e-07, eta: 6:33:43, time: 1.893, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7448, decode.loss_mask: 0.7643, decode.loss_dice: 1.1619, decode.d0.loss_cls: 2.4939, decode.d0.loss_mask: 0.7852, decode.d0.loss_dice: 1.3283, decode.d1.loss_cls: 0.8287, decode.d1.loss_mask: 0.8010, decode.d1.loss_dice: 1.2597, decode.d2.loss_cls: 0.7729, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.2097, decode.d3.loss_cls: 0.7586, decode.d3.loss_mask: 0.7746, decode.d3.loss_dice: 1.1870, decode.d4.loss_cls: 0.7536, decode.d4.loss_mask: 0.7745, decode.d4.loss_dice: 1.1825, decode.d5.loss_cls: 0.7492, decode.d5.loss_mask: 0.7670, decode.d5.loss_dice: 1.1777, decode.d6.loss_cls: 0.7512, decode.d6.loss_mask: 0.7647, decode.d6.loss_dice: 1.1723, decode.d7.loss_cls: 0.7455, decode.d7.loss_mask: 0.7632, decode.d7.loss_dice: 1.1692, decode.d8.loss_cls: 0.7444, decode.d8.loss_mask: 0.7646, decode.d8.loss_dice: 1.1679, loss: 29.1014 2022-04-30 07:08:06,351 - mmseg - INFO - Iter [67350/80000] lr: 2.271e-07, eta: 6:32:10, time: 1.872, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7442, decode.loss_mask: 0.7350, decode.loss_dice: 1.1583, decode.d0.loss_cls: 2.5737, decode.d0.loss_mask: 0.7471, decode.d0.loss_dice: 1.3314, decode.d1.loss_cls: 0.8256, decode.d1.loss_mask: 0.7736, decode.d1.loss_dice: 1.2639, decode.d2.loss_cls: 0.7824, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.2059, decode.d3.loss_cls: 0.7610, decode.d3.loss_mask: 0.7380, decode.d3.loss_dice: 1.1766, decode.d4.loss_cls: 0.7506, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.1786, decode.d5.loss_cls: 0.7540, decode.d5.loss_mask: 0.7354, decode.d5.loss_dice: 1.1731, decode.d6.loss_cls: 0.7410, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.1625, decode.d7.loss_cls: 0.7454, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.1688, decode.d8.loss_cls: 0.7429, decode.d8.loss_mask: 0.7347, decode.d8.loss_dice: 1.1620, loss: 28.8194 2022-04-30 07:09:38,722 - mmseg - INFO - Iter [67400/80000] lr: 2.262e-07, eta: 6:30:37, time: 1.847, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7536, decode.loss_mask: 0.7534, decode.loss_dice: 1.1665, decode.d0.loss_cls: 2.5434, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3400, decode.d1.loss_cls: 0.8518, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.2656, decode.d2.loss_cls: 0.7897, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.2171, decode.d3.loss_cls: 0.7740, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.1914, decode.d4.loss_cls: 0.7646, decode.d4.loss_mask: 0.7558, decode.d4.loss_dice: 1.1845, decode.d5.loss_cls: 0.7621, decode.d5.loss_mask: 0.7520, decode.d5.loss_dice: 1.1692, decode.d6.loss_cls: 0.7578, decode.d6.loss_mask: 0.7481, decode.d6.loss_dice: 1.1618, decode.d7.loss_cls: 0.7528, decode.d7.loss_mask: 0.7495, decode.d7.loss_dice: 1.1686, decode.d8.loss_cls: 0.7487, decode.d8.loss_mask: 0.7501, decode.d8.loss_dice: 1.1650, loss: 29.1216 2022-04-30 07:11:11,403 - mmseg - INFO - Iter [67450/80000] lr: 2.253e-07, eta: 6:29:04, time: 1.854, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7440, decode.loss_mask: 0.7594, decode.loss_dice: 1.1478, decode.d0.loss_cls: 2.5247, decode.d0.loss_mask: 0.7771, decode.d0.loss_dice: 1.3128, decode.d1.loss_cls: 0.8317, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.2401, decode.d2.loss_cls: 0.7856, decode.d2.loss_mask: 0.7717, decode.d2.loss_dice: 1.1919, decode.d3.loss_cls: 0.7650, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1664, decode.d4.loss_cls: 0.7536, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.1649, decode.d5.loss_cls: 0.7542, decode.d5.loss_mask: 0.7605, decode.d5.loss_dice: 1.1515, decode.d6.loss_cls: 0.7470, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.1468, decode.d7.loss_cls: 0.7502, decode.d7.loss_mask: 0.7608, decode.d7.loss_dice: 1.1491, decode.d8.loss_cls: 0.7454, decode.d8.loss_mask: 0.7622, decode.d8.loss_dice: 1.1471, loss: 28.8967 2022-04-30 07:12:42,039 - mmseg - INFO - Iter [67500/80000] lr: 2.244e-07, eta: 6:27:30, time: 1.813, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7452, decode.loss_mask: 0.7442, decode.loss_dice: 1.1199, decode.d0.loss_cls: 2.5202, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3027, decode.d1.loss_cls: 0.8384, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.2164, decode.d2.loss_cls: 0.7824, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.1630, decode.d3.loss_cls: 0.7649, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.1418, decode.d4.loss_cls: 0.7485, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.1401, decode.d5.loss_cls: 0.7458, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.1342, decode.d6.loss_cls: 0.7390, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1212, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7443, decode.d7.loss_dice: 1.1234, decode.d8.loss_cls: 0.7402, decode.d8.loss_mask: 0.7453, decode.d8.loss_dice: 1.1199, loss: 28.5101 2022-04-30 07:14:15,111 - mmseg - INFO - Iter [67550/80000] lr: 2.235e-07, eta: 6:25:57, time: 1.861, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7443, decode.loss_mask: 0.7268, decode.loss_dice: 1.1407, decode.d0.loss_cls: 2.5097, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.3162, decode.d1.loss_cls: 0.8371, decode.d1.loss_mask: 0.7602, decode.d1.loss_dice: 1.2421, decode.d2.loss_cls: 0.7790, decode.d2.loss_mask: 0.7487, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7603, decode.d3.loss_mask: 0.7400, decode.d3.loss_dice: 1.1656, decode.d4.loss_cls: 0.7567, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.1673, decode.d5.loss_cls: 0.7545, decode.d5.loss_mask: 0.7333, decode.d5.loss_dice: 1.1595, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7284, decode.d6.loss_dice: 1.1476, decode.d7.loss_cls: 0.7448, decode.d7.loss_mask: 0.7293, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.7462, decode.d8.loss_mask: 0.7305, decode.d8.loss_dice: 1.1453, loss: 28.5921 2022-04-30 07:15:47,838 - mmseg - INFO - Iter [67600/80000] lr: 2.226e-07, eta: 6:24:24, time: 1.855, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7616, decode.loss_mask: 0.7629, decode.loss_dice: 1.1507, decode.d0.loss_cls: 2.4944, decode.d0.loss_mask: 0.7713, decode.d0.loss_dice: 1.3301, decode.d1.loss_cls: 0.8651, decode.d1.loss_mask: 0.7928, decode.d1.loss_dice: 1.2538, decode.d2.loss_cls: 0.8083, decode.d2.loss_mask: 0.7776, decode.d2.loss_dice: 1.2075, decode.d3.loss_cls: 0.7916, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.1717, decode.d4.loss_cls: 0.7768, decode.d4.loss_mask: 0.7661, decode.d4.loss_dice: 1.1716, decode.d5.loss_cls: 0.7772, decode.d5.loss_mask: 0.7676, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 0.7706, decode.d6.loss_mask: 0.7629, decode.d6.loss_dice: 1.1497, decode.d7.loss_cls: 0.7650, decode.d7.loss_mask: 0.7630, decode.d7.loss_dice: 1.1571, decode.d8.loss_cls: 0.7671, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.1533, loss: 29.1778 2022-04-30 07:17:19,923 - mmseg - INFO - Iter [67650/80000] lr: 2.217e-07, eta: 6:22:51, time: 1.842, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7672, decode.loss_mask: 0.7411, decode.loss_dice: 1.1758, decode.d0.loss_cls: 2.5312, decode.d0.loss_mask: 0.7663, decode.d0.loss_dice: 1.3528, decode.d1.loss_cls: 0.8721, decode.d1.loss_mask: 0.7737, decode.d1.loss_dice: 1.2698, decode.d2.loss_cls: 0.8065, decode.d2.loss_mask: 0.7589, decode.d2.loss_dice: 1.2203, decode.d3.loss_cls: 0.7894, decode.d3.loss_mask: 0.7466, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7827, decode.d4.loss_mask: 0.7484, decode.d4.loss_dice: 1.1914, decode.d5.loss_cls: 0.7796, decode.d5.loss_mask: 0.7439, decode.d5.loss_dice: 1.1786, decode.d6.loss_cls: 0.7703, decode.d6.loss_mask: 0.7399, decode.d6.loss_dice: 1.1723, decode.d7.loss_cls: 0.7701, decode.d7.loss_mask: 0.7418, decode.d7.loss_dice: 1.1697, decode.d8.loss_cls: 0.7658, decode.d8.loss_mask: 0.7428, decode.d8.loss_dice: 1.1733, loss: 29.2299 2022-04-30 07:18:51,619 - mmseg - INFO - Iter [67700/80000] lr: 2.208e-07, eta: 6:21:18, time: 1.832, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7437, decode.loss_mask: 0.7360, decode.loss_dice: 1.1434, decode.d0.loss_cls: 2.5047, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.3237, decode.d1.loss_cls: 0.8415, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.2464, decode.d2.loss_cls: 0.7759, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2040, decode.d3.loss_cls: 0.7651, decode.d3.loss_mask: 0.7453, decode.d3.loss_dice: 1.1694, decode.d4.loss_cls: 0.7538, decode.d4.loss_mask: 0.7451, decode.d4.loss_dice: 1.1694, decode.d5.loss_cls: 0.7543, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.7432, decode.d6.loss_mask: 0.7352, decode.d6.loss_dice: 1.1547, decode.d7.loss_cls: 0.7499, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.1468, decode.d8.loss_cls: 0.7418, decode.d8.loss_mask: 0.7364, decode.d8.loss_dice: 1.1469, loss: 28.6863 2022-04-30 07:20:23,173 - mmseg - INFO - Iter [67750/80000] lr: 2.199e-07, eta: 6:19:45, time: 1.833, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7492, decode.loss_mask: 0.7291, decode.loss_dice: 1.1169, decode.d0.loss_cls: 2.5021, decode.d0.loss_mask: 0.7558, decode.d0.loss_dice: 1.2921, decode.d1.loss_cls: 0.8314, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.2137, decode.d2.loss_cls: 0.7837, decode.d2.loss_mask: 0.7473, decode.d2.loss_dice: 1.1555, decode.d3.loss_cls: 0.7688, decode.d3.loss_mask: 0.7406, decode.d3.loss_dice: 1.1328, decode.d4.loss_cls: 0.7598, decode.d4.loss_mask: 0.7419, decode.d4.loss_dice: 1.1359, decode.d5.loss_cls: 0.7565, decode.d5.loss_mask: 0.7386, decode.d5.loss_dice: 1.1275, decode.d6.loss_cls: 0.7497, decode.d6.loss_mask: 0.7343, decode.d6.loss_dice: 1.1244, decode.d7.loss_cls: 0.7509, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.1184, decode.d8.loss_cls: 0.7492, decode.d8.loss_mask: 0.7305, decode.d8.loss_dice: 1.1224, loss: 28.3640 2022-04-30 07:21:54,778 - mmseg - INFO - Iter [67800/80000] lr: 2.190e-07, eta: 6:18:11, time: 1.832, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7793, decode.loss_mask: 0.7406, decode.loss_dice: 1.1566, decode.d0.loss_cls: 2.5183, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3482, decode.d1.loss_cls: 0.8800, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.2561, decode.d2.loss_cls: 0.8222, decode.d2.loss_mask: 0.7569, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 0.8028, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.1720, decode.d4.loss_cls: 0.7935, decode.d4.loss_mask: 0.7478, decode.d4.loss_dice: 1.1680, decode.d5.loss_cls: 0.7862, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.1678, decode.d6.loss_cls: 0.7782, decode.d6.loss_mask: 0.7416, decode.d6.loss_dice: 1.1604, decode.d7.loss_cls: 0.7827, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1573, decode.d8.loss_cls: 0.7786, decode.d8.loss_mask: 0.7436, decode.d8.loss_dice: 1.1564, loss: 29.1768 2022-04-30 07:23:26,634 - mmseg - INFO - Iter [67850/80000] lr: 2.181e-07, eta: 6:16:38, time: 1.837, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7764, decode.loss_mask: 0.7413, decode.loss_dice: 1.1561, decode.d0.loss_cls: 2.5302, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.3407, decode.d1.loss_cls: 0.8671, decode.d1.loss_mask: 0.7784, decode.d1.loss_dice: 1.2690, decode.d2.loss_cls: 0.8142, decode.d2.loss_mask: 0.7632, decode.d2.loss_dice: 1.2112, decode.d3.loss_cls: 0.8016, decode.d3.loss_mask: 0.7531, decode.d3.loss_dice: 1.1776, decode.d4.loss_cls: 0.7944, decode.d4.loss_mask: 0.7499, decode.d4.loss_dice: 1.1727, decode.d5.loss_cls: 0.7882, decode.d5.loss_mask: 0.7497, decode.d5.loss_dice: 1.1697, decode.d6.loss_cls: 0.7848, decode.d6.loss_mask: 0.7421, decode.d6.loss_dice: 1.1553, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1534, decode.d8.loss_cls: 0.7790, decode.d8.loss_mask: 0.7432, decode.d8.loss_dice: 1.1598, loss: 29.2087 2022-04-30 07:24:59,016 - mmseg - INFO - Iter [67900/80000] lr: 2.172e-07, eta: 6:15:05, time: 1.848, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7616, decode.loss_mask: 0.7706, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.5356, decode.d0.loss_mask: 0.7848, decode.d0.loss_dice: 1.3513, decode.d1.loss_cls: 0.8503, decode.d1.loss_mask: 0.8059, decode.d1.loss_dice: 1.2660, decode.d2.loss_cls: 0.7953, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.2117, decode.d3.loss_cls: 0.7788, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.1821, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.1822, decode.d5.loss_cls: 0.7639, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1828, decode.d6.loss_cls: 0.7618, decode.d6.loss_mask: 0.7720, decode.d6.loss_dice: 1.1701, decode.d7.loss_cls: 0.7573, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.1692, decode.d8.loss_cls: 0.7572, decode.d8.loss_mask: 0.7719, decode.d8.loss_dice: 1.1686, loss: 29.3838 2022-04-30 07:26:30,283 - mmseg - INFO - Iter [67950/80000] lr: 2.163e-07, eta: 6:13:32, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7581, decode.loss_mask: 0.7316, decode.loss_dice: 1.1461, decode.d0.loss_cls: 2.5233, decode.d0.loss_mask: 0.7516, decode.d0.loss_dice: 1.3329, decode.d1.loss_cls: 0.8525, decode.d1.loss_mask: 0.7758, decode.d1.loss_dice: 1.2473, decode.d2.loss_cls: 0.7886, decode.d2.loss_mask: 0.7560, decode.d2.loss_dice: 1.1961, decode.d3.loss_cls: 0.7776, decode.d3.loss_mask: 0.7442, decode.d3.loss_dice: 1.1638, decode.d4.loss_cls: 0.7708, decode.d4.loss_mask: 0.7408, decode.d4.loss_dice: 1.1604, decode.d5.loss_cls: 0.7639, decode.d5.loss_mask: 0.7399, decode.d5.loss_dice: 1.1569, decode.d6.loss_cls: 0.7662, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.1505, decode.d7.loss_cls: 0.7665, decode.d7.loss_mask: 0.7311, decode.d7.loss_dice: 1.1468, decode.d8.loss_cls: 0.7603, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1439, loss: 28.8107 2022-04-30 07:28:02,036 - mmseg - INFO - Saving checkpoint at 68000 iterations 2022-04-30 07:28:25,246 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 07:28:25,248 - mmseg - INFO - Iter [68000/80000] lr: 2.154e-07, eta: 6:12:03, time: 2.298, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7499, decode.loss_mask: 0.7577, decode.loss_dice: 1.1691, decode.d0.loss_cls: 2.5098, decode.d0.loss_mask: 0.7732, decode.d0.loss_dice: 1.3385, decode.d1.loss_cls: 0.8588, decode.d1.loss_mask: 0.7853, decode.d1.loss_dice: 1.2667, decode.d2.loss_cls: 0.7906, decode.d2.loss_mask: 0.7737, decode.d2.loss_dice: 1.2244, decode.d3.loss_cls: 0.7718, decode.d3.loss_mask: 0.7656, decode.d3.loss_dice: 1.1894, decode.d4.loss_cls: 0.7621, decode.d4.loss_mask: 0.7631, decode.d4.loss_dice: 1.1836, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1815, decode.d6.loss_cls: 0.7573, decode.d6.loss_mask: 0.7604, decode.d6.loss_dice: 1.1678, decode.d7.loss_cls: 0.7486, decode.d7.loss_mask: 0.7590, decode.d7.loss_dice: 1.1714, decode.d8.loss_cls: 0.7457, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.1679, loss: 29.1655 2022-04-30 07:29:58,841 - mmseg - INFO - Iter [68050/80000] lr: 2.145e-07, eta: 6:10:30, time: 1.873, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7431, decode.loss_mask: 0.7649, decode.loss_dice: 1.1750, decode.d0.loss_cls: 2.4881, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3469, decode.d1.loss_cls: 0.8364, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.2710, decode.d2.loss_cls: 0.7686, decode.d2.loss_mask: 0.7821, decode.d2.loss_dice: 1.2200, decode.d3.loss_cls: 0.7598, decode.d3.loss_mask: 0.7779, decode.d3.loss_dice: 1.1935, decode.d4.loss_cls: 0.7475, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.1969, decode.d5.loss_cls: 0.7457, decode.d5.loss_mask: 0.7729, decode.d5.loss_dice: 1.1871, decode.d6.loss_cls: 0.7466, decode.d6.loss_mask: 0.7672, decode.d6.loss_dice: 1.1778, decode.d7.loss_cls: 0.7442, decode.d7.loss_mask: 0.7655, decode.d7.loss_dice: 1.1823, decode.d8.loss_cls: 0.7383, decode.d8.loss_mask: 0.7665, decode.d8.loss_dice: 1.1848, loss: 29.1998 2022-04-30 07:31:30,519 - mmseg - INFO - Iter [68100/80000] lr: 2.136e-07, eta: 6:08:57, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7305, decode.loss_mask: 0.7630, decode.loss_dice: 1.1560, decode.d0.loss_cls: 2.4567, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.3357, decode.d1.loss_cls: 0.8288, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.2565, decode.d2.loss_cls: 0.7686, decode.d2.loss_mask: 0.7838, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7507, decode.d3.loss_mask: 0.7732, decode.d3.loss_dice: 1.1760, decode.d4.loss_cls: 0.7415, decode.d4.loss_mask: 0.7725, decode.d4.loss_dice: 1.1756, decode.d5.loss_cls: 0.7374, decode.d5.loss_mask: 0.7696, decode.d5.loss_dice: 1.1675, decode.d6.loss_cls: 0.7311, decode.d6.loss_mask: 0.7687, decode.d6.loss_dice: 1.1639, decode.d7.loss_cls: 0.7312, decode.d7.loss_mask: 0.7674, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 0.7356, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.1600, loss: 28.9059 2022-04-30 07:33:02,097 - mmseg - INFO - Iter [68150/80000] lr: 2.127e-07, eta: 6:07:23, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7529, decode.loss_mask: 0.7394, decode.loss_dice: 1.1344, decode.d0.loss_cls: 2.5103, decode.d0.loss_mask: 0.7604, decode.d0.loss_dice: 1.3073, decode.d1.loss_cls: 0.8460, decode.d1.loss_mask: 0.7720, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 0.7892, decode.d2.loss_mask: 0.7575, decode.d2.loss_dice: 1.1804, decode.d3.loss_cls: 0.7783, decode.d3.loss_mask: 0.7477, decode.d3.loss_dice: 1.1566, decode.d4.loss_cls: 0.7699, decode.d4.loss_mask: 0.7456, decode.d4.loss_dice: 1.1552, decode.d5.loss_cls: 0.7647, decode.d5.loss_mask: 0.7388, decode.d5.loss_dice: 1.1432, decode.d6.loss_cls: 0.7508, decode.d6.loss_mask: 0.7410, decode.d6.loss_dice: 1.1365, decode.d7.loss_cls: 0.7517, decode.d7.loss_mask: 0.7364, decode.d7.loss_dice: 1.1352, decode.d8.loss_cls: 0.7537, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.1348, loss: 28.6651 2022-04-30 07:34:33,985 - mmseg - INFO - Iter [68200/80000] lr: 2.118e-07, eta: 6:05:50, time: 1.838, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7734, decode.loss_mask: 0.7462, decode.loss_dice: 1.1395, decode.d0.loss_cls: 2.5641, decode.d0.loss_mask: 0.7545, decode.d0.loss_dice: 1.3134, decode.d1.loss_cls: 0.8729, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.2359, decode.d2.loss_cls: 0.8151, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.1883, decode.d3.loss_cls: 0.7933, decode.d3.loss_mask: 0.7563, decode.d3.loss_dice: 1.1712, decode.d4.loss_cls: 0.7829, decode.d4.loss_mask: 0.7556, decode.d4.loss_dice: 1.1617, decode.d5.loss_cls: 0.7858, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1555, decode.d6.loss_cls: 0.7706, decode.d6.loss_mask: 0.7514, decode.d6.loss_dice: 1.1473, decode.d7.loss_cls: 0.7758, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1464, decode.d8.loss_cls: 0.7725, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.1430, loss: 29.0664 2022-04-30 07:36:05,458 - mmseg - INFO - Iter [68250/80000] lr: 2.109e-07, eta: 6:04:17, time: 1.830, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7555, decode.loss_mask: 0.7630, decode.loss_dice: 1.1612, decode.d0.loss_cls: 2.5188, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3254, decode.d1.loss_cls: 0.8510, decode.d1.loss_mask: 0.7923, decode.d1.loss_dice: 1.2570, decode.d2.loss_cls: 0.7985, decode.d2.loss_mask: 0.7778, decode.d2.loss_dice: 1.1992, decode.d3.loss_cls: 0.7817, decode.d3.loss_mask: 0.7661, decode.d3.loss_dice: 1.1754, decode.d4.loss_cls: 0.7666, decode.d4.loss_mask: 0.7672, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7703, decode.d5.loss_mask: 0.7661, decode.d5.loss_dice: 1.1655, decode.d6.loss_cls: 0.7623, decode.d6.loss_mask: 0.7653, decode.d6.loss_dice: 1.1601, decode.d7.loss_cls: 0.7558, decode.d7.loss_mask: 0.7669, decode.d7.loss_dice: 1.1573, decode.d8.loss_cls: 0.7535, decode.d8.loss_mask: 0.7657, decode.d8.loss_dice: 1.1588, loss: 29.1522 2022-04-30 07:37:38,653 - mmseg - INFO - Iter [68300/80000] lr: 2.100e-07, eta: 6:02:44, time: 1.864, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7755, decode.loss_mask: 0.7558, decode.loss_dice: 1.1698, decode.d0.loss_cls: 2.5705, decode.d0.loss_mask: 0.7745, decode.d0.loss_dice: 1.3530, decode.d1.loss_cls: 0.8838, decode.d1.loss_mask: 0.7861, decode.d1.loss_dice: 1.2826, decode.d2.loss_cls: 0.8217, decode.d2.loss_mask: 0.7756, decode.d2.loss_dice: 1.2198, decode.d3.loss_cls: 0.8053, decode.d3.loss_mask: 0.7656, decode.d3.loss_dice: 1.1899, decode.d4.loss_cls: 0.7966, decode.d4.loss_mask: 0.7611, decode.d4.loss_dice: 1.1871, decode.d5.loss_cls: 0.7868, decode.d5.loss_mask: 0.7551, decode.d5.loss_dice: 1.1793, decode.d6.loss_cls: 0.7873, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1682, decode.d7.loss_cls: 0.7812, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1731, decode.d8.loss_cls: 0.7812, decode.d8.loss_mask: 0.7547, decode.d8.loss_dice: 1.1684, loss: 29.5198 2022-04-30 07:39:09,769 - mmseg - INFO - Iter [68350/80000] lr: 2.091e-07, eta: 6:01:11, time: 1.822, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7634, decode.loss_mask: 0.7507, decode.loss_dice: 1.1163, decode.d0.loss_cls: 2.4962, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.2895, decode.d1.loss_cls: 0.8585, decode.d1.loss_mask: 0.7858, decode.d1.loss_dice: 1.2153, decode.d2.loss_cls: 0.7940, decode.d2.loss_mask: 0.7696, decode.d2.loss_dice: 1.1591, decode.d3.loss_cls: 0.7793, decode.d3.loss_mask: 0.7608, decode.d3.loss_dice: 1.1406, decode.d4.loss_cls: 0.7713, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1363, decode.d5.loss_cls: 0.7669, decode.d5.loss_mask: 0.7589, decode.d5.loss_dice: 1.1301, decode.d6.loss_cls: 0.7653, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.1183, decode.d7.loss_cls: 0.7664, decode.d7.loss_mask: 0.7489, decode.d7.loss_dice: 1.1181, decode.d8.loss_cls: 0.7627, decode.d8.loss_mask: 0.7484, decode.d8.loss_dice: 1.1142, loss: 28.6634 2022-04-30 07:40:40,798 - mmseg - INFO - Iter [68400/80000] lr: 2.082e-07, eta: 5:59:37, time: 1.820, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7410, decode.loss_mask: 0.7435, decode.loss_dice: 1.1521, decode.d0.loss_cls: 2.4927, decode.d0.loss_mask: 0.7459, decode.d0.loss_dice: 1.3236, decode.d1.loss_cls: 0.8367, decode.d1.loss_mask: 0.7694, decode.d1.loss_dice: 1.2436, decode.d2.loss_cls: 0.7880, decode.d2.loss_mask: 0.7561, decode.d2.loss_dice: 1.1941, decode.d3.loss_cls: 0.7592, decode.d3.loss_mask: 0.7516, decode.d3.loss_dice: 1.1766, decode.d4.loss_cls: 0.7523, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7460, decode.d5.loss_mask: 0.7506, decode.d5.loss_dice: 1.1672, decode.d6.loss_cls: 0.7465, decode.d6.loss_mask: 0.7454, decode.d6.loss_dice: 1.1507, decode.d7.loss_cls: 0.7386, decode.d7.loss_mask: 0.7467, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7414, decode.d8.loss_mask: 0.7421, decode.d8.loss_dice: 1.1456, loss: 28.7242 2022-04-30 07:42:11,881 - mmseg - INFO - Iter [68450/80000] lr: 2.073e-07, eta: 5:58:04, time: 1.822, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7347, decode.loss_mask: 0.7519, decode.loss_dice: 1.1385, decode.d0.loss_cls: 2.4684, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.3063, decode.d1.loss_cls: 0.8203, decode.d1.loss_mask: 0.7851, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 0.7665, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 0.7572, decode.d3.loss_mask: 0.7626, decode.d3.loss_dice: 1.1606, decode.d4.loss_cls: 0.7462, decode.d4.loss_mask: 0.7587, decode.d4.loss_dice: 1.1575, decode.d5.loss_cls: 0.7452, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1535, decode.d6.loss_cls: 0.7371, decode.d6.loss_mask: 0.7555, decode.d6.loss_dice: 1.1407, decode.d7.loss_cls: 0.7362, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.1449, decode.d8.loss_cls: 0.7450, decode.d8.loss_mask: 0.7512, decode.d8.loss_dice: 1.1442, loss: 28.6362 2022-04-30 07:43:43,485 - mmseg - INFO - Iter [68500/80000] lr: 2.064e-07, eta: 5:56:31, time: 1.831, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7717, decode.loss_mask: 0.7342, decode.loss_dice: 1.1476, decode.d0.loss_cls: 2.5766, decode.d0.loss_mask: 0.7544, decode.d0.loss_dice: 1.3254, decode.d1.loss_cls: 0.8742, decode.d1.loss_mask: 0.7630, decode.d1.loss_dice: 1.2449, decode.d2.loss_cls: 0.8099, decode.d2.loss_mask: 0.7531, decode.d2.loss_dice: 1.1927, decode.d3.loss_cls: 0.7920, decode.d3.loss_mask: 0.7413, decode.d3.loss_dice: 1.1654, decode.d4.loss_cls: 0.7870, decode.d4.loss_mask: 0.7372, decode.d4.loss_dice: 1.1688, decode.d5.loss_cls: 0.7844, decode.d5.loss_mask: 0.7378, decode.d5.loss_dice: 1.1640, decode.d6.loss_cls: 0.7732, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1498, decode.d7.loss_cls: 0.7733, decode.d7.loss_mask: 0.7330, decode.d7.loss_dice: 1.1541, decode.d8.loss_cls: 0.7687, decode.d8.loss_mask: 0.7342, decode.d8.loss_dice: 1.1501, loss: 28.9976 2022-04-30 07:45:14,844 - mmseg - INFO - Iter [68550/80000] lr: 2.055e-07, eta: 5:54:57, time: 1.828, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7651, decode.loss_mask: 0.7453, decode.loss_dice: 1.1644, decode.d0.loss_cls: 2.5376, decode.d0.loss_mask: 0.7701, decode.d0.loss_dice: 1.3550, decode.d1.loss_cls: 0.8538, decode.d1.loss_mask: 0.7777, decode.d1.loss_dice: 1.2710, decode.d2.loss_cls: 0.8076, decode.d2.loss_mask: 0.7596, decode.d2.loss_dice: 1.2146, decode.d3.loss_cls: 0.7831, decode.d3.loss_mask: 0.7479, decode.d3.loss_dice: 1.1805, decode.d4.loss_cls: 0.7783, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.1804, decode.d5.loss_cls: 0.7746, decode.d5.loss_mask: 0.7465, decode.d5.loss_dice: 1.1740, decode.d6.loss_cls: 0.7670, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1690, decode.d7.loss_cls: 0.7641, decode.d7.loss_mask: 0.7481, decode.d7.loss_dice: 1.1721, decode.d8.loss_cls: 0.7613, decode.d8.loss_mask: 0.7491, decode.d8.loss_dice: 1.1619, loss: 29.1730 2022-04-30 07:46:46,110 - mmseg - INFO - Iter [68600/80000] lr: 2.046e-07, eta: 5:53:24, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7602, decode.loss_mask: 0.7773, decode.loss_dice: 1.1533, decode.d0.loss_cls: 2.5110, decode.d0.loss_mask: 0.7839, decode.d0.loss_dice: 1.3303, decode.d1.loss_cls: 0.8486, decode.d1.loss_mask: 0.8093, decode.d1.loss_dice: 1.2552, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7778, decode.d3.loss_mask: 0.7841, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.7740, decode.d4.loss_mask: 0.7825, decode.d4.loss_dice: 1.1684, decode.d5.loss_cls: 0.7630, decode.d5.loss_mask: 0.7844, decode.d5.loss_dice: 1.1613, decode.d6.loss_cls: 0.7558, decode.d6.loss_mask: 0.7822, decode.d6.loss_dice: 1.1645, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7769, decode.d7.loss_dice: 1.1633, decode.d8.loss_cls: 0.7572, decode.d8.loss_mask: 0.7768, decode.d8.loss_dice: 1.1614, loss: 29.2880 2022-04-30 07:48:17,736 - mmseg - INFO - Iter [68650/80000] lr: 2.037e-07, eta: 5:51:51, time: 1.832, data_time: 0.013, memory: 64979, decode.loss_cls: 0.8000, decode.loss_mask: 0.7572, decode.loss_dice: 1.1832, decode.d0.loss_cls: 2.5596, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.3617, decode.d1.loss_cls: 0.9037, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2812, decode.d2.loss_cls: 0.8381, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.2232, decode.d3.loss_cls: 0.8170, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.2068, decode.d4.loss_cls: 0.8140, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.2013, decode.d5.loss_cls: 0.7998, decode.d5.loss_mask: 0.7593, decode.d5.loss_dice: 1.1980, decode.d6.loss_cls: 0.8021, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.1907, decode.d7.loss_cls: 0.8036, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.1893, decode.d8.loss_cls: 0.7983, decode.d8.loss_mask: 0.7564, decode.d8.loss_dice: 1.1878, loss: 29.8030 2022-04-30 07:49:49,374 - mmseg - INFO - Iter [68700/80000] lr: 2.028e-07, eta: 5:50:18, time: 1.833, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7584, decode.loss_mask: 0.7566, decode.loss_dice: 1.1584, decode.d0.loss_cls: 2.4787, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3262, decode.d1.loss_cls: 0.8442, decode.d1.loss_mask: 0.7931, decode.d1.loss_dice: 1.2514, decode.d2.loss_cls: 0.7863, decode.d2.loss_mask: 0.7758, decode.d2.loss_dice: 1.2018, decode.d3.loss_cls: 0.7730, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.1790, decode.d4.loss_cls: 0.7686, decode.d4.loss_mask: 0.7657, decode.d4.loss_dice: 1.1718, decode.d5.loss_cls: 0.7611, decode.d5.loss_mask: 0.7664, decode.d5.loss_dice: 1.1703, decode.d6.loss_cls: 0.7623, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1620, decode.d7.loss_cls: 0.7580, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.1609, decode.d8.loss_cls: 0.7529, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1612, loss: 29.0576 2022-04-30 07:51:21,719 - mmseg - INFO - Iter [68750/80000] lr: 2.019e-07, eta: 5:48:44, time: 1.847, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7300, decode.loss_mask: 0.7693, decode.loss_dice: 1.1661, decode.d0.loss_cls: 2.4638, decode.d0.loss_mask: 0.7867, decode.d0.loss_dice: 1.3337, decode.d1.loss_cls: 0.8220, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2610, decode.d2.loss_cls: 0.7651, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.2102, decode.d3.loss_cls: 0.7488, decode.d3.loss_mask: 0.7759, decode.d3.loss_dice: 1.1812, decode.d4.loss_cls: 0.7453, decode.d4.loss_mask: 0.7721, decode.d4.loss_dice: 1.1736, decode.d5.loss_cls: 0.7401, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.1715, decode.d6.loss_cls: 0.7372, decode.d6.loss_mask: 0.7665, decode.d6.loss_dice: 1.1592, decode.d7.loss_cls: 0.7252, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.1664, decode.d8.loss_cls: 0.7284, decode.d8.loss_mask: 0.7679, decode.d8.loss_dice: 1.1635, loss: 28.9617 2022-04-30 07:52:54,599 - mmseg - INFO - Iter [68800/80000] lr: 2.010e-07, eta: 5:47:11, time: 1.857, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7516, decode.loss_mask: 0.7575, decode.loss_dice: 1.1744, decode.d0.loss_cls: 2.5286, decode.d0.loss_mask: 0.7696, decode.d0.loss_dice: 1.3432, decode.d1.loss_cls: 0.8507, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.2701, decode.d2.loss_cls: 0.7956, decode.d2.loss_mask: 0.7736, decode.d2.loss_dice: 1.2151, decode.d3.loss_cls: 0.7732, decode.d3.loss_mask: 0.7671, decode.d3.loss_dice: 1.1935, decode.d4.loss_cls: 0.7665, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.1904, decode.d5.loss_cls: 0.7677, decode.d5.loss_mask: 0.7630, decode.d5.loss_dice: 1.1767, decode.d6.loss_cls: 0.7606, decode.d6.loss_mask: 0.7578, decode.d6.loss_dice: 1.1729, decode.d7.loss_cls: 0.7574, decode.d7.loss_mask: 0.7563, decode.d7.loss_dice: 1.1721, decode.d8.loss_cls: 0.7554, decode.d8.loss_mask: 0.7570, decode.d8.loss_dice: 1.1693, loss: 29.2380 2022-04-30 07:54:25,552 - mmseg - INFO - Iter [68850/80000] lr: 2.001e-07, eta: 5:45:38, time: 1.819, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7735, decode.loss_mask: 0.7338, decode.loss_dice: 1.1438, decode.d0.loss_cls: 2.5880, decode.d0.loss_mask: 0.7625, decode.d0.loss_dice: 1.3398, decode.d1.loss_cls: 0.8604, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.2503, decode.d2.loss_cls: 0.8012, decode.d2.loss_mask: 0.7555, decode.d2.loss_dice: 1.1960, decode.d3.loss_cls: 0.7820, decode.d3.loss_mask: 0.7488, decode.d3.loss_dice: 1.1745, decode.d4.loss_cls: 0.7778, decode.d4.loss_mask: 0.7439, decode.d4.loss_dice: 1.1675, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7438, decode.d5.loss_dice: 1.1615, decode.d6.loss_cls: 0.7722, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7349, decode.d7.loss_dice: 1.1501, decode.d8.loss_cls: 0.7719, decode.d8.loss_mask: 0.7367, decode.d8.loss_dice: 1.1521, loss: 29.0344 2022-04-30 07:55:56,036 - mmseg - INFO - Iter [68900/80000] lr: 1.992e-07, eta: 5:44:05, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7994, decode.loss_mask: 0.7555, decode.loss_dice: 1.1616, decode.d0.loss_cls: 2.5775, decode.d0.loss_mask: 0.7777, decode.d0.loss_dice: 1.3436, decode.d1.loss_cls: 0.8798, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.2777, decode.d2.loss_cls: 0.8357, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.2138, decode.d3.loss_cls: 0.8168, decode.d3.loss_mask: 0.7694, decode.d3.loss_dice: 1.1873, decode.d4.loss_cls: 0.8094, decode.d4.loss_mask: 0.7671, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.8079, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1736, decode.d6.loss_cls: 0.8020, decode.d6.loss_mask: 0.7589, decode.d6.loss_dice: 1.1622, decode.d7.loss_cls: 0.7946, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.1653, decode.d8.loss_cls: 0.7973, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.1611, loss: 29.6292 2022-04-30 07:57:28,671 - mmseg - INFO - Iter [68950/80000] lr: 1.983e-07, eta: 5:42:32, time: 1.853, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7629, decode.loss_mask: 0.7301, decode.loss_dice: 1.1480, decode.d0.loss_cls: 2.5585, decode.d0.loss_mask: 0.7442, decode.d0.loss_dice: 1.3358, decode.d1.loss_cls: 0.8740, decode.d1.loss_mask: 0.7633, decode.d1.loss_dice: 1.2536, decode.d2.loss_cls: 0.7987, decode.d2.loss_mask: 0.7489, decode.d2.loss_dice: 1.1989, decode.d3.loss_cls: 0.7872, decode.d3.loss_mask: 0.7406, decode.d3.loss_dice: 1.1688, decode.d4.loss_cls: 0.7812, decode.d4.loss_mask: 0.7379, decode.d4.loss_dice: 1.1690, decode.d5.loss_cls: 0.7729, decode.d5.loss_mask: 0.7401, decode.d5.loss_dice: 1.1673, decode.d6.loss_cls: 0.7655, decode.d6.loss_mask: 0.7355, decode.d6.loss_dice: 1.1496, decode.d7.loss_cls: 0.7608, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.1569, decode.d8.loss_cls: 0.7637, decode.d8.loss_mask: 0.7323, decode.d8.loss_dice: 1.1516, loss: 28.9318 2022-04-30 07:59:01,032 - mmseg - INFO - Saving checkpoint at 69000 iterations 2022-04-30 07:59:24,394 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 07:59:24,398 - mmseg - INFO - Iter [69000/80000] lr: 1.974e-07, eta: 5:41:02, time: 2.311, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7585, decode.loss_mask: 0.7412, decode.loss_dice: 1.1408, decode.d0.loss_cls: 2.5088, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.3191, decode.d1.loss_cls: 0.8505, decode.d1.loss_mask: 0.7702, decode.d1.loss_dice: 1.2453, decode.d2.loss_cls: 0.7885, decode.d2.loss_mask: 0.7625, decode.d2.loss_dice: 1.2006, decode.d3.loss_cls: 0.7684, decode.d3.loss_mask: 0.7496, decode.d3.loss_dice: 1.1695, decode.d4.loss_cls: 0.7620, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1696, decode.d5.loss_cls: 0.7552, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.1631, decode.d6.loss_cls: 0.7564, decode.d6.loss_mask: 0.7418, decode.d6.loss_dice: 1.1536, decode.d7.loss_cls: 0.7535, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.1524, decode.d8.loss_cls: 0.7485, decode.d8.loss_mask: 0.7407, decode.d8.loss_dice: 1.1456, loss: 28.8128 2022-04-30 08:00:57,684 - mmseg - INFO - Iter [69050/80000] lr: 1.965e-07, eta: 5:39:29, time: 1.870, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7835, decode.loss_mask: 0.7434, decode.loss_dice: 1.1498, decode.d0.loss_cls: 2.5385, decode.d0.loss_mask: 0.7584, decode.d0.loss_dice: 1.3318, decode.d1.loss_cls: 0.8741, decode.d1.loss_mask: 0.7768, decode.d1.loss_dice: 1.2509, decode.d2.loss_cls: 0.8187, decode.d2.loss_mask: 0.7612, decode.d2.loss_dice: 1.1941, decode.d3.loss_cls: 0.8023, decode.d3.loss_mask: 0.7503, decode.d3.loss_dice: 1.1706, decode.d4.loss_cls: 0.7959, decode.d4.loss_mask: 0.7486, decode.d4.loss_dice: 1.1656, decode.d5.loss_cls: 0.7947, decode.d5.loss_mask: 0.7507, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.7877, decode.d6.loss_mask: 0.7442, decode.d6.loss_dice: 1.1483, decode.d7.loss_cls: 0.7784, decode.d7.loss_mask: 0.7484, decode.d7.loss_dice: 1.1511, decode.d8.loss_cls: 0.7816, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.1458, loss: 29.1527 2022-04-30 08:02:28,782 - mmseg - INFO - Iter [69100/80000] lr: 1.956e-07, eta: 5:37:56, time: 1.822, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7510, decode.loss_mask: 0.7637, decode.loss_dice: 1.1655, decode.d0.loss_cls: 2.4676, decode.d0.loss_mask: 0.7816, decode.d0.loss_dice: 1.3311, decode.d1.loss_cls: 0.8294, decode.d1.loss_mask: 0.8064, decode.d1.loss_dice: 1.2718, decode.d2.loss_cls: 0.7876, decode.d2.loss_mask: 0.7857, decode.d2.loss_dice: 1.2162, decode.d3.loss_cls: 0.7701, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.1876, decode.d4.loss_cls: 0.7589, decode.d4.loss_mask: 0.7690, decode.d4.loss_dice: 1.1866, decode.d5.loss_cls: 0.7592, decode.d5.loss_mask: 0.7683, decode.d5.loss_dice: 1.1814, decode.d6.loss_cls: 0.7558, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.1690, decode.d7.loss_cls: 0.7576, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1679, decode.d8.loss_cls: 0.7446, decode.d8.loss_mask: 0.7660, decode.d8.loss_dice: 1.1665, loss: 29.1614 2022-04-30 08:04:00,121 - mmseg - INFO - Iter [69150/80000] lr: 1.947e-07, eta: 5:36:23, time: 1.827, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7706, decode.loss_mask: 0.7182, decode.loss_dice: 1.1449, decode.d0.loss_cls: 2.5430, decode.d0.loss_mask: 0.7356, decode.d0.loss_dice: 1.3325, decode.d1.loss_cls: 0.8653, decode.d1.loss_mask: 0.7477, decode.d1.loss_dice: 1.2569, decode.d2.loss_cls: 0.8044, decode.d2.loss_mask: 0.7398, decode.d2.loss_dice: 1.2009, decode.d3.loss_cls: 0.7905, decode.d3.loss_mask: 0.7270, decode.d3.loss_dice: 1.1649, decode.d4.loss_cls: 0.7822, decode.d4.loss_mask: 0.7266, decode.d4.loss_dice: 1.1628, decode.d5.loss_cls: 0.7763, decode.d5.loss_mask: 0.7252, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7731, decode.d6.loss_mask: 0.7182, decode.d6.loss_dice: 1.1492, decode.d7.loss_cls: 0.7700, decode.d7.loss_mask: 0.7153, decode.d7.loss_dice: 1.1511, decode.d8.loss_cls: 0.7636, decode.d8.loss_mask: 0.7168, decode.d8.loss_dice: 1.1458, loss: 28.7795 2022-04-30 08:05:32,655 - mmseg - INFO - Iter [69200/80000] lr: 1.939e-07, eta: 5:34:50, time: 1.851, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7495, decode.loss_mask: 0.7346, decode.loss_dice: 1.1183, decode.d0.loss_cls: 2.5765, decode.d0.loss_mask: 0.7501, decode.d0.loss_dice: 1.2952, decode.d1.loss_cls: 0.8521, decode.d1.loss_mask: 0.7715, decode.d1.loss_dice: 1.2161, decode.d2.loss_cls: 0.7901, decode.d2.loss_mask: 0.7481, decode.d2.loss_dice: 1.1627, decode.d3.loss_cls: 0.7684, decode.d3.loss_mask: 0.7450, decode.d3.loss_dice: 1.1389, decode.d4.loss_cls: 0.7618, decode.d4.loss_mask: 0.7407, decode.d4.loss_dice: 1.1336, decode.d5.loss_cls: 0.7602, decode.d5.loss_mask: 0.7393, decode.d5.loss_dice: 1.1299, decode.d6.loss_cls: 0.7550, decode.d6.loss_mask: 0.7335, decode.d6.loss_dice: 1.1202, decode.d7.loss_cls: 0.7513, decode.d7.loss_mask: 0.7332, decode.d7.loss_dice: 1.1213, decode.d8.loss_cls: 0.7478, decode.d8.loss_mask: 0.7342, decode.d8.loss_dice: 1.1209, loss: 28.5001 2022-04-30 08:07:05,333 - mmseg - INFO - Iter [69250/80000] lr: 1.930e-07, eta: 5:33:17, time: 1.854, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7475, decode.loss_mask: 0.7505, decode.loss_dice: 1.1407, decode.d0.loss_cls: 2.5385, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 0.8563, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.2323, decode.d2.loss_cls: 0.7832, decode.d2.loss_mask: 0.7702, decode.d2.loss_dice: 1.1808, decode.d3.loss_cls: 0.7659, decode.d3.loss_mask: 0.7640, decode.d3.loss_dice: 1.1562, decode.d4.loss_cls: 0.7620, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.1531, decode.d5.loss_cls: 0.7552, decode.d5.loss_mask: 0.7512, decode.d5.loss_dice: 1.1443, decode.d6.loss_cls: 0.7501, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.1371, decode.d7.loss_cls: 0.7485, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.1447, decode.d8.loss_cls: 0.7504, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.1463, loss: 28.8004 2022-04-30 08:08:38,487 - mmseg - INFO - Iter [69300/80000] lr: 1.921e-07, eta: 5:31:44, time: 1.863, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7811, decode.loss_mask: 0.7160, decode.loss_dice: 1.1682, decode.d0.loss_cls: 2.5508, decode.d0.loss_mask: 0.7433, decode.d0.loss_dice: 1.3517, decode.d1.loss_cls: 0.8758, decode.d1.loss_mask: 0.7581, decode.d1.loss_dice: 1.2765, decode.d2.loss_cls: 0.8181, decode.d2.loss_mask: 0.7404, decode.d2.loss_dice: 1.2174, decode.d3.loss_cls: 0.7990, decode.d3.loss_mask: 0.7306, decode.d3.loss_dice: 1.1938, decode.d4.loss_cls: 0.7879, decode.d4.loss_mask: 0.7295, decode.d4.loss_dice: 1.1849, decode.d5.loss_cls: 0.7891, decode.d5.loss_mask: 0.7231, decode.d5.loss_dice: 1.1787, decode.d6.loss_cls: 0.7835, decode.d6.loss_mask: 0.7195, decode.d6.loss_dice: 1.1690, decode.d7.loss_cls: 0.7840, decode.d7.loss_mask: 0.7208, decode.d7.loss_dice: 1.1677, decode.d8.loss_cls: 0.7816, decode.d8.loss_mask: 0.7148, decode.d8.loss_dice: 1.1736, loss: 29.1285 2022-04-30 08:10:10,799 - mmseg - INFO - Iter [69350/80000] lr: 1.912e-07, eta: 5:30:10, time: 1.846, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7597, decode.loss_mask: 0.7500, decode.loss_dice: 1.1509, decode.d0.loss_cls: 2.5266, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.3333, decode.d1.loss_cls: 0.8551, decode.d1.loss_mask: 0.7885, decode.d1.loss_dice: 1.2620, decode.d2.loss_cls: 0.7962, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.2088, decode.d3.loss_cls: 0.7806, decode.d3.loss_mask: 0.7627, decode.d3.loss_dice: 1.1752, decode.d4.loss_cls: 0.7685, decode.d4.loss_mask: 0.7613, decode.d4.loss_dice: 1.1714, decode.d5.loss_cls: 0.7626, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1644, decode.d6.loss_cls: 0.7581, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1561, decode.d7.loss_cls: 0.7547, decode.d7.loss_mask: 0.7537, decode.d7.loss_dice: 1.1560, decode.d8.loss_cls: 0.7581, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1570, loss: 29.0847 2022-04-30 08:11:42,693 - mmseg - INFO - Iter [69400/80000] lr: 1.903e-07, eta: 5:28:37, time: 1.838, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7507, decode.loss_mask: 0.7661, decode.loss_dice: 1.1477, decode.d0.loss_cls: 2.4905, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.3166, decode.d1.loss_cls: 0.8397, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.2532, decode.d2.loss_cls: 0.7827, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.1996, decode.d3.loss_cls: 0.7699, decode.d3.loss_mask: 0.7744, decode.d3.loss_dice: 1.1747, decode.d4.loss_cls: 0.7509, decode.d4.loss_mask: 0.7788, decode.d4.loss_dice: 1.1722, decode.d5.loss_cls: 0.7539, decode.d5.loss_mask: 0.7673, decode.d5.loss_dice: 1.1577, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.1567, decode.d7.loss_cls: 0.7519, decode.d7.loss_mask: 0.7663, decode.d7.loss_dice: 1.1567, decode.d8.loss_cls: 0.7513, decode.d8.loss_mask: 0.7682, decode.d8.loss_dice: 1.1559, loss: 29.0299 2022-04-30 08:13:16,884 - mmseg - INFO - Iter [69450/80000] lr: 1.894e-07, eta: 5:27:04, time: 1.884, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7630, decode.loss_mask: 0.7391, decode.loss_dice: 1.1564, decode.d0.loss_cls: 2.5285, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.3227, decode.d1.loss_cls: 0.8554, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.2475, decode.d2.loss_cls: 0.8018, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.1970, decode.d3.loss_cls: 0.7800, decode.d3.loss_mask: 0.7488, decode.d3.loss_dice: 1.1804, decode.d4.loss_cls: 0.7726, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.1736, decode.d5.loss_cls: 0.7741, decode.d5.loss_mask: 0.7447, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 0.7660, decode.d6.loss_mask: 0.7434, decode.d6.loss_dice: 1.1595, decode.d7.loss_cls: 0.7619, decode.d7.loss_mask: 0.7443, decode.d7.loss_dice: 1.1658, decode.d8.loss_cls: 0.7597, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.1611, loss: 28.9840 2022-04-30 08:14:48,434 - mmseg - INFO - Iter [69500/80000] lr: 1.885e-07, eta: 5:25:31, time: 1.831, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7719, decode.loss_mask: 0.7522, decode.loss_dice: 1.1433, decode.d0.loss_cls: 2.5335, decode.d0.loss_mask: 0.7747, decode.d0.loss_dice: 1.3241, decode.d1.loss_cls: 0.8692, decode.d1.loss_mask: 0.7843, decode.d1.loss_dice: 1.2423, decode.d2.loss_cls: 0.8052, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1979, decode.d3.loss_cls: 0.7929, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.1712, decode.d4.loss_cls: 0.7815, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1560, decode.d6.loss_cls: 0.7728, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1512, decode.d7.loss_cls: 0.7727, decode.d7.loss_mask: 0.7570, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7545, decode.d8.loss_dice: 1.1511, loss: 29.1327 2022-04-30 08:16:20,972 - mmseg - INFO - Iter [69550/80000] lr: 1.876e-07, eta: 5:23:58, time: 1.850, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7324, decode.loss_mask: 0.7785, decode.loss_dice: 1.1321, decode.d0.loss_cls: 2.4562, decode.d0.loss_mask: 0.7881, decode.d0.loss_dice: 1.3027, decode.d1.loss_cls: 0.8204, decode.d1.loss_mask: 0.8108, decode.d1.loss_dice: 1.2301, decode.d2.loss_cls: 0.7575, decode.d2.loss_mask: 0.7943, decode.d2.loss_dice: 1.1762, decode.d3.loss_cls: 0.7417, decode.d3.loss_mask: 0.7908, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.7438, decode.d4.loss_mask: 0.7843, decode.d4.loss_dice: 1.1503, decode.d5.loss_cls: 0.7401, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.1474, decode.d6.loss_cls: 0.7310, decode.d6.loss_mask: 0.7810, decode.d6.loss_dice: 1.1365, decode.d7.loss_cls: 0.7336, decode.d7.loss_mask: 0.7806, decode.d7.loss_dice: 1.1372, decode.d8.loss_cls: 0.7324, decode.d8.loss_mask: 0.7780, decode.d8.loss_dice: 1.1306, loss: 28.7591 2022-04-30 08:17:53,978 - mmseg - INFO - Iter [69600/80000] lr: 1.867e-07, eta: 5:22:25, time: 1.859, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7613, decode.loss_mask: 0.7437, decode.loss_dice: 1.1352, decode.d0.loss_cls: 2.5157, decode.d0.loss_mask: 0.7624, decode.d0.loss_dice: 1.3123, decode.d1.loss_cls: 0.8508, decode.d1.loss_mask: 0.7765, decode.d1.loss_dice: 1.2373, decode.d2.loss_cls: 0.7953, decode.d2.loss_mask: 0.7611, decode.d2.loss_dice: 1.1884, decode.d3.loss_cls: 0.7842, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.1619, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7530, decode.d4.loss_dice: 1.1543, decode.d5.loss_cls: 0.7726, decode.d5.loss_mask: 0.7462, decode.d5.loss_dice: 1.1492, decode.d6.loss_cls: 0.7681, decode.d6.loss_mask: 0.7399, decode.d6.loss_dice: 1.1437, decode.d7.loss_cls: 0.7631, decode.d7.loss_mask: 0.7414, decode.d7.loss_dice: 1.1429, decode.d8.loss_cls: 0.7575, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1426, loss: 28.8354 2022-04-30 08:19:27,120 - mmseg - INFO - Iter [69650/80000] lr: 1.858e-07, eta: 5:20:52, time: 1.864, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7367, decode.loss_mask: 0.7382, decode.loss_dice: 1.1345, decode.d0.loss_cls: 2.5071, decode.d0.loss_mask: 0.7481, decode.d0.loss_dice: 1.3099, decode.d1.loss_cls: 0.8263, decode.d1.loss_mask: 0.7650, decode.d1.loss_dice: 1.2334, decode.d2.loss_cls: 0.7757, decode.d2.loss_mask: 0.7531, decode.d2.loss_dice: 1.1836, decode.d3.loss_cls: 0.7642, decode.d3.loss_mask: 0.7491, decode.d3.loss_dice: 1.1600, decode.d4.loss_cls: 0.7552, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.7551, decode.d5.loss_mask: 0.7372, decode.d5.loss_dice: 1.1457, decode.d6.loss_cls: 0.7429, decode.d6.loss_mask: 0.7348, decode.d6.loss_dice: 1.1415, decode.d7.loss_cls: 0.7481, decode.d7.loss_mask: 0.7325, decode.d7.loss_dice: 1.1380, decode.d8.loss_cls: 0.7373, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1430, loss: 28.5269 2022-04-30 08:20:59,305 - mmseg - INFO - Iter [69700/80000] lr: 1.849e-07, eta: 5:19:19, time: 1.844, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7798, decode.loss_mask: 0.7514, decode.loss_dice: 1.1537, decode.d0.loss_cls: 2.5323, decode.d0.loss_mask: 0.7814, decode.d0.loss_dice: 1.3184, decode.d1.loss_cls: 0.8818, decode.d1.loss_mask: 0.7819, decode.d1.loss_dice: 1.2495, decode.d2.loss_cls: 0.8179, decode.d2.loss_mask: 0.7700, decode.d2.loss_dice: 1.1996, decode.d3.loss_cls: 0.7998, decode.d3.loss_mask: 0.7630, decode.d3.loss_dice: 1.1741, decode.d4.loss_cls: 0.7967, decode.d4.loss_mask: 0.7631, decode.d4.loss_dice: 1.1755, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7631, decode.d5.loss_dice: 1.1588, decode.d6.loss_cls: 0.7863, decode.d6.loss_mask: 0.7568, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7862, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1542, decode.d8.loss_cls: 0.7793, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1529, loss: 29.2896 2022-04-30 08:22:32,225 - mmseg - INFO - Iter [69750/80000] lr: 1.840e-07, eta: 5:17:46, time: 1.858, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7351, decode.loss_mask: 0.7144, decode.loss_dice: 1.1237, decode.d0.loss_cls: 2.4726, decode.d0.loss_mask: 0.7359, decode.d0.loss_dice: 1.2993, decode.d1.loss_cls: 0.8288, decode.d1.loss_mask: 0.7572, decode.d1.loss_dice: 1.2239, decode.d2.loss_cls: 0.7691, decode.d2.loss_mask: 0.7266, decode.d2.loss_dice: 1.1694, decode.d3.loss_cls: 0.7526, decode.d3.loss_mask: 0.7226, decode.d3.loss_dice: 1.1443, decode.d4.loss_cls: 0.7476, decode.d4.loss_mask: 0.7183, decode.d4.loss_dice: 1.1346, decode.d5.loss_cls: 0.7353, decode.d5.loss_mask: 0.7209, decode.d5.loss_dice: 1.1324, decode.d6.loss_cls: 0.7389, decode.d6.loss_mask: 0.7172, decode.d6.loss_dice: 1.1196, decode.d7.loss_cls: 0.7384, decode.d7.loss_mask: 0.7120, decode.d7.loss_dice: 1.1221, decode.d8.loss_cls: 0.7371, decode.d8.loss_mask: 0.7148, decode.d8.loss_dice: 1.1216, loss: 28.0862 2022-04-30 08:24:03,214 - mmseg - INFO - Iter [69800/80000] lr: 1.831e-07, eta: 5:16:13, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7818, decode.loss_mask: 0.7295, decode.loss_dice: 1.1613, decode.d0.loss_cls: 2.5635, decode.d0.loss_mask: 0.7460, decode.d0.loss_dice: 1.3460, decode.d1.loss_cls: 0.8830, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.2646, decode.d2.loss_cls: 0.8183, decode.d2.loss_mask: 0.7523, decode.d2.loss_dice: 1.2120, decode.d3.loss_cls: 0.8090, decode.d3.loss_mask: 0.7386, decode.d3.loss_dice: 1.1818, decode.d4.loss_cls: 0.7921, decode.d4.loss_mask: 0.7312, decode.d4.loss_dice: 1.1799, decode.d5.loss_cls: 0.7937, decode.d5.loss_mask: 0.7301, decode.d5.loss_dice: 1.1707, decode.d6.loss_cls: 0.7901, decode.d6.loss_mask: 0.7289, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 0.7836, decode.d7.loss_mask: 0.7298, decode.d7.loss_dice: 1.1636, decode.d8.loss_cls: 0.7783, decode.d8.loss_mask: 0.7297, decode.d8.loss_dice: 1.1606, loss: 29.1761 2022-04-30 08:25:35,571 - mmseg - INFO - Iter [69850/80000] lr: 1.822e-07, eta: 5:14:40, time: 1.847, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7373, decode.loss_mask: 0.7483, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.4856, decode.d0.loss_mask: 0.7712, decode.d0.loss_dice: 1.3288, decode.d1.loss_cls: 0.8414, decode.d1.loss_mask: 0.7797, decode.d1.loss_dice: 1.2545, decode.d2.loss_cls: 0.7691, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.1984, decode.d3.loss_cls: 0.7601, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1719, decode.d4.loss_cls: 0.7562, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.1737, decode.d5.loss_cls: 0.7472, decode.d5.loss_mask: 0.7547, decode.d5.loss_dice: 1.1702, decode.d6.loss_cls: 0.7431, decode.d6.loss_mask: 0.7537, decode.d6.loss_dice: 1.1557, decode.d7.loss_cls: 0.7423, decode.d7.loss_mask: 0.7464, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7397, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.1564, loss: 28.8165 2022-04-30 08:27:08,765 - mmseg - INFO - Iter [69900/80000] lr: 1.813e-07, eta: 5:13:07, time: 1.864, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7977, decode.loss_mask: 0.7669, decode.loss_dice: 1.1910, decode.d0.loss_cls: 2.6235, decode.d0.loss_mask: 0.7674, decode.d0.loss_dice: 1.3607, decode.d1.loss_cls: 0.8859, decode.d1.loss_mask: 0.7923, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8321, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.2317, decode.d3.loss_cls: 0.8128, decode.d3.loss_mask: 0.7744, decode.d3.loss_dice: 1.2061, decode.d4.loss_cls: 0.8031, decode.d4.loss_mask: 0.7714, decode.d4.loss_dice: 1.2076, decode.d5.loss_cls: 0.8033, decode.d5.loss_mask: 0.7713, decode.d5.loss_dice: 1.2039, decode.d6.loss_cls: 0.7944, decode.d6.loss_mask: 0.7675, decode.d6.loss_dice: 1.1924, decode.d7.loss_cls: 0.7858, decode.d7.loss_mask: 0.7690, decode.d7.loss_dice: 1.1908, decode.d8.loss_cls: 0.7922, decode.d8.loss_mask: 0.7695, decode.d8.loss_dice: 1.1891, loss: 29.9215 2022-04-30 08:28:40,068 - mmseg - INFO - Iter [69950/80000] lr: 1.804e-07, eta: 5:11:33, time: 1.826, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7347, decode.loss_mask: 0.7421, decode.loss_dice: 1.1421, decode.d0.loss_cls: 2.4936, decode.d0.loss_mask: 0.7492, decode.d0.loss_dice: 1.3086, decode.d1.loss_cls: 0.8354, decode.d1.loss_mask: 0.7772, decode.d1.loss_dice: 1.2416, decode.d2.loss_cls: 0.7789, decode.d2.loss_mask: 0.7568, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7623, decode.d3.loss_mask: 0.7465, decode.d3.loss_dice: 1.1603, decode.d4.loss_cls: 0.7506, decode.d4.loss_mask: 0.7465, decode.d4.loss_dice: 1.1585, decode.d5.loss_cls: 0.7477, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.1444, decode.d6.loss_cls: 0.7398, decode.d6.loss_mask: 0.7386, decode.d6.loss_dice: 1.1481, decode.d7.loss_cls: 0.7338, decode.d7.loss_mask: 0.7428, decode.d7.loss_dice: 1.1494, decode.d8.loss_cls: 0.7334, decode.d8.loss_mask: 0.7428, decode.d8.loss_dice: 1.1443, loss: 28.5921 2022-04-30 08:30:12,503 - mmseg - INFO - Saving checkpoint at 70000 iterations 2022-04-30 08:30:35,961 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 08:30:35,974 - mmseg - INFO - Iter [70000/80000] lr: 1.795e-07, eta: 5:10:04, time: 2.314, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7612, decode.loss_mask: 0.7326, decode.loss_dice: 1.1560, decode.d0.loss_cls: 2.4897, decode.d0.loss_mask: 0.7538, decode.d0.loss_dice: 1.3333, decode.d1.loss_cls: 0.8545, decode.d1.loss_mask: 0.7661, decode.d1.loss_dice: 1.2511, decode.d2.loss_cls: 0.7968, decode.d2.loss_mask: 0.7556, decode.d2.loss_dice: 1.2092, decode.d3.loss_cls: 0.7712, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.1814, decode.d4.loss_cls: 0.7619, decode.d4.loss_mask: 0.7507, decode.d4.loss_dice: 1.1827, decode.d5.loss_cls: 0.7585, decode.d5.loss_mask: 0.7414, decode.d5.loss_dice: 1.1714, decode.d6.loss_cls: 0.7548, decode.d6.loss_mask: 0.7354, decode.d6.loss_dice: 1.1608, decode.d7.loss_cls: 0.7587, decode.d7.loss_mask: 0.7345, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.7526, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.1632, loss: 28.8910 2022-04-30 08:32:08,743 - mmseg - INFO - Iter [70050/80000] lr: 1.786e-07, eta: 5:08:31, time: 1.859, data_time: 0.018, memory: 64979, decode.loss_cls: 0.7278, decode.loss_mask: 0.7516, decode.loss_dice: 1.1455, decode.d0.loss_cls: 2.4539, decode.d0.loss_mask: 0.7663, decode.d0.loss_dice: 1.3114, decode.d1.loss_cls: 0.8262, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2423, decode.d2.loss_cls: 0.7643, decode.d2.loss_mask: 0.7686, decode.d2.loss_dice: 1.1976, decode.d3.loss_cls: 0.7478, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.1671, decode.d4.loss_cls: 0.7303, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.1636, decode.d5.loss_cls: 0.7311, decode.d5.loss_mask: 0.7604, decode.d5.loss_dice: 1.1554, decode.d6.loss_cls: 0.7202, decode.d6.loss_mask: 0.7587, decode.d6.loss_dice: 1.1522, decode.d7.loss_cls: 0.7226, decode.d7.loss_mask: 0.7550, decode.d7.loss_dice: 1.1536, decode.d8.loss_cls: 0.7140, decode.d8.loss_mask: 0.7531, decode.d8.loss_dice: 1.1542, loss: 28.6034 2022-04-30 08:33:41,390 - mmseg - INFO - Iter [70100/80000] lr: 1.777e-07, eta: 5:06:58, time: 1.853, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7437, decode.loss_mask: 0.7338, decode.loss_dice: 1.1373, decode.d0.loss_cls: 2.4925, decode.d0.loss_mask: 0.7446, decode.d0.loss_dice: 1.3010, decode.d1.loss_cls: 0.8404, decode.d1.loss_mask: 0.7742, decode.d1.loss_dice: 1.2383, decode.d2.loss_cls: 0.7789, decode.d2.loss_mask: 0.7503, decode.d2.loss_dice: 1.1828, decode.d3.loss_cls: 0.7616, decode.d3.loss_mask: 0.7454, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7554, decode.d4.loss_mask: 0.7405, decode.d4.loss_dice: 1.1505, decode.d5.loss_cls: 0.7493, decode.d5.loss_mask: 0.7392, decode.d5.loss_dice: 1.1468, decode.d6.loss_cls: 0.7515, decode.d6.loss_mask: 0.7395, decode.d6.loss_dice: 1.1376, decode.d7.loss_cls: 0.7458, decode.d7.loss_mask: 0.7358, decode.d7.loss_dice: 1.1389, decode.d8.loss_cls: 0.7498, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1351, loss: 28.5367 2022-04-30 08:35:14,838 - mmseg - INFO - Iter [70150/80000] lr: 1.768e-07, eta: 5:05:25, time: 1.869, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7742, decode.loss_mask: 0.7402, decode.loss_dice: 1.1727, decode.d0.loss_cls: 2.5921, decode.d0.loss_mask: 0.7636, decode.d0.loss_dice: 1.3605, decode.d1.loss_cls: 0.8709, decode.d1.loss_mask: 0.7781, decode.d1.loss_dice: 1.2852, decode.d2.loss_cls: 0.8150, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2286, decode.d3.loss_cls: 0.7989, decode.d3.loss_mask: 0.7535, decode.d3.loss_dice: 1.2050, decode.d4.loss_cls: 0.7895, decode.d4.loss_mask: 0.7501, decode.d4.loss_dice: 1.2018, decode.d5.loss_cls: 0.7842, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1931, decode.d6.loss_cls: 0.7739, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1819, decode.d7.loss_cls: 0.7732, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.7750, decode.d8.loss_mask: 0.7442, decode.d8.loss_dice: 1.1786, loss: 29.4564 2022-04-30 08:36:46,920 - mmseg - INFO - Iter [70200/80000] lr: 1.759e-07, eta: 5:03:51, time: 1.841, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7511, decode.loss_mask: 0.7498, decode.loss_dice: 1.1552, decode.d0.loss_cls: 2.4793, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.3247, decode.d1.loss_cls: 0.8272, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.2486, decode.d2.loss_cls: 0.7784, decode.d2.loss_mask: 0.7680, decode.d2.loss_dice: 1.2093, decode.d3.loss_cls: 0.7648, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.1817, decode.d4.loss_cls: 0.7617, decode.d4.loss_mask: 0.7563, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7580, decode.d5.loss_dice: 1.1687, decode.d6.loss_cls: 0.7497, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1560, decode.d7.loss_cls: 0.7465, decode.d7.loss_mask: 0.7524, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7448, decode.d8.loss_mask: 0.7522, decode.d8.loss_dice: 1.1576, loss: 28.8946 2022-04-30 08:38:18,112 - mmseg - INFO - Iter [70250/80000] lr: 1.750e-07, eta: 5:02:18, time: 1.824, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7606, decode.loss_mask: 0.7199, decode.loss_dice: 1.1250, decode.d0.loss_cls: 2.5656, decode.d0.loss_mask: 0.7365, decode.d0.loss_dice: 1.3023, decode.d1.loss_cls: 0.8526, decode.d1.loss_mask: 0.7526, decode.d1.loss_dice: 1.2296, decode.d2.loss_cls: 0.8042, decode.d2.loss_mask: 0.7294, decode.d2.loss_dice: 1.1682, decode.d3.loss_cls: 0.7869, decode.d3.loss_mask: 0.7208, decode.d3.loss_dice: 1.1479, decode.d4.loss_cls: 0.7804, decode.d4.loss_mask: 0.7220, decode.d4.loss_dice: 1.1417, decode.d5.loss_cls: 0.7681, decode.d5.loss_mask: 0.7201, decode.d5.loss_dice: 1.1359, decode.d6.loss_cls: 0.7641, decode.d6.loss_mask: 0.7175, decode.d6.loss_dice: 1.1294, decode.d7.loss_cls: 0.7585, decode.d7.loss_mask: 0.7200, decode.d7.loss_dice: 1.1266, decode.d8.loss_cls: 0.7626, decode.d8.loss_mask: 0.7187, decode.d8.loss_dice: 1.1311, loss: 28.4987 2022-04-30 08:39:50,316 - mmseg - INFO - Iter [70300/80000] lr: 1.741e-07, eta: 5:00:45, time: 1.844, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7596, decode.loss_mask: 0.7444, decode.loss_dice: 1.1570, decode.d0.loss_cls: 2.5344, decode.d0.loss_mask: 0.7775, decode.d0.loss_dice: 1.3420, decode.d1.loss_cls: 0.8491, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2701, decode.d2.loss_cls: 0.7928, decode.d2.loss_mask: 0.7693, decode.d2.loss_dice: 1.2134, decode.d3.loss_cls: 0.7852, decode.d3.loss_mask: 0.7559, decode.d3.loss_dice: 1.1814, decode.d4.loss_cls: 0.7792, decode.d4.loss_mask: 0.7536, decode.d4.loss_dice: 1.1715, decode.d5.loss_cls: 0.7733, decode.d5.loss_mask: 0.7487, decode.d5.loss_dice: 1.1676, decode.d6.loss_cls: 0.7689, decode.d6.loss_mask: 0.7447, decode.d6.loss_dice: 1.1579, decode.d7.loss_cls: 0.7624, decode.d7.loss_mask: 0.7458, decode.d7.loss_dice: 1.1593, decode.d8.loss_cls: 0.7621, decode.d8.loss_mask: 0.7465, decode.d8.loss_dice: 1.1596, loss: 29.1197 2022-04-30 08:41:22,194 - mmseg - INFO - Iter [70350/80000] lr: 1.732e-07, eta: 4:59:12, time: 1.838, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7662, decode.loss_mask: 0.7466, decode.loss_dice: 1.1879, decode.d0.loss_cls: 2.5492, decode.d0.loss_mask: 0.7665, decode.d0.loss_dice: 1.3631, decode.d1.loss_cls: 0.8581, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.2921, decode.d2.loss_cls: 0.8100, decode.d2.loss_mask: 0.7600, decode.d2.loss_dice: 1.2315, decode.d3.loss_cls: 0.7831, decode.d3.loss_mask: 0.7582, decode.d3.loss_dice: 1.2151, decode.d4.loss_cls: 0.7766, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.2009, decode.d5.loss_cls: 0.7797, decode.d5.loss_mask: 0.7515, decode.d5.loss_dice: 1.1981, decode.d6.loss_cls: 0.7721, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1883, decode.d7.loss_cls: 0.7626, decode.d7.loss_mask: 0.7519, decode.d7.loss_dice: 1.1902, decode.d8.loss_cls: 0.7693, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.1864, loss: 29.4374 2022-04-30 08:42:53,772 - mmseg - INFO - Iter [70400/80000] lr: 1.723e-07, eta: 4:57:39, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7870, decode.loss_mask: 0.7460, decode.loss_dice: 1.1657, decode.d0.loss_cls: 2.5442, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3553, decode.d1.loss_cls: 0.8860, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.2738, decode.d2.loss_cls: 0.8347, decode.d2.loss_mask: 0.7680, decode.d2.loss_dice: 1.2178, decode.d3.loss_cls: 0.8092, decode.d3.loss_mask: 0.7548, decode.d3.loss_dice: 1.1890, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.1827, decode.d5.loss_cls: 0.7930, decode.d5.loss_mask: 0.7541, decode.d5.loss_dice: 1.1840, decode.d6.loss_cls: 0.7911, decode.d6.loss_mask: 0.7481, decode.d6.loss_dice: 1.1665, decode.d7.loss_cls: 0.7851, decode.d7.loss_mask: 0.7463, decode.d7.loss_dice: 1.1691, decode.d8.loss_cls: 0.7845, decode.d8.loss_mask: 0.7460, decode.d8.loss_dice: 1.1683, loss: 29.4608 2022-04-30 08:44:27,479 - mmseg - INFO - Iter [70450/80000] lr: 1.714e-07, eta: 4:56:06, time: 1.874, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7665, decode.loss_mask: 0.7257, decode.loss_dice: 1.1508, decode.d0.loss_cls: 2.5381, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.3351, decode.d1.loss_cls: 0.8627, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.2487, decode.d2.loss_cls: 0.8051, decode.d2.loss_mask: 0.7390, decode.d2.loss_dice: 1.2005, decode.d3.loss_cls: 0.7963, decode.d3.loss_mask: 0.7282, decode.d3.loss_dice: 1.1690, decode.d4.loss_cls: 0.7854, decode.d4.loss_mask: 0.7343, decode.d4.loss_dice: 1.1644, decode.d5.loss_cls: 0.7787, decode.d5.loss_mask: 0.7246, decode.d5.loss_dice: 1.1591, decode.d6.loss_cls: 0.7743, decode.d6.loss_mask: 0.7247, decode.d6.loss_dice: 1.1497, decode.d7.loss_cls: 0.7748, decode.d7.loss_mask: 0.7242, decode.d7.loss_dice: 1.1537, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7211, decode.d8.loss_dice: 1.1459, loss: 28.8527 2022-04-30 08:46:01,113 - mmseg - INFO - Iter [70500/80000] lr: 1.705e-07, eta: 4:54:33, time: 1.873, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7592, decode.loss_mask: 0.7469, decode.loss_dice: 1.1687, decode.d0.loss_cls: 2.5251, decode.d0.loss_mask: 0.7654, decode.d0.loss_dice: 1.3422, decode.d1.loss_cls: 0.8629, decode.d1.loss_mask: 0.7781, decode.d1.loss_dice: 1.2710, decode.d2.loss_cls: 0.7913, decode.d2.loss_mask: 0.7640, decode.d2.loss_dice: 1.2210, decode.d3.loss_cls: 0.7852, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 0.7694, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1795, decode.d5.loss_cls: 0.7733, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.1706, decode.d6.loss_cls: 0.7652, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1650, decode.d7.loss_cls: 0.7651, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1648, decode.d8.loss_cls: 0.7595, decode.d8.loss_mask: 0.7478, decode.d8.loss_dice: 1.1665, loss: 29.1341 2022-04-30 08:47:33,374 - mmseg - INFO - Iter [70550/80000] lr: 1.696e-07, eta: 4:53:00, time: 1.845, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7949, decode.loss_mask: 0.7472, decode.loss_dice: 1.1754, decode.d0.loss_cls: 2.5808, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3623, decode.d1.loss_cls: 0.8808, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2777, decode.d2.loss_cls: 0.8163, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.2241, decode.d3.loss_cls: 0.8181, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.1986, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.7582, decode.d4.loss_dice: 1.1982, decode.d5.loss_cls: 0.8069, decode.d5.loss_mask: 0.7537, decode.d5.loss_dice: 1.1867, decode.d6.loss_cls: 0.8009, decode.d6.loss_mask: 0.7510, decode.d6.loss_dice: 1.1788, decode.d7.loss_cls: 0.8011, decode.d7.loss_mask: 0.7445, decode.d7.loss_dice: 1.1780, decode.d8.loss_cls: 0.7930, decode.d8.loss_mask: 0.7467, decode.d8.loss_dice: 1.1773, loss: 29.6137 2022-04-30 08:49:05,605 - mmseg - INFO - Iter [70600/80000] lr: 1.687e-07, eta: 4:51:27, time: 1.844, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7450, decode.loss_mask: 0.7199, decode.loss_dice: 1.1296, decode.d0.loss_cls: 2.4789, decode.d0.loss_mask: 0.7438, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.8248, decode.d1.loss_mask: 0.7534, decode.d1.loss_dice: 1.2243, decode.d2.loss_cls: 0.7688, decode.d2.loss_mask: 0.7432, decode.d2.loss_dice: 1.1756, decode.d3.loss_cls: 0.7595, decode.d3.loss_mask: 0.7321, decode.d3.loss_dice: 1.1495, decode.d4.loss_cls: 0.7512, decode.d4.loss_mask: 0.7319, decode.d4.loss_dice: 1.1490, decode.d5.loss_cls: 0.7476, decode.d5.loss_mask: 0.7340, decode.d5.loss_dice: 1.1466, decode.d6.loss_cls: 0.7442, decode.d6.loss_mask: 0.7232, decode.d6.loss_dice: 1.1311, decode.d7.loss_cls: 0.7427, decode.d7.loss_mask: 0.7256, decode.d7.loss_dice: 1.1342, decode.d8.loss_cls: 0.7417, decode.d8.loss_mask: 0.7226, decode.d8.loss_dice: 1.1318, loss: 28.3083 2022-04-30 08:50:39,355 - mmseg - INFO - Iter [70650/80000] lr: 1.678e-07, eta: 4:49:54, time: 1.875, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7622, decode.loss_mask: 0.7560, decode.loss_dice: 1.1812, decode.d0.loss_cls: 2.4750, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3562, decode.d1.loss_cls: 0.8536, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2902, decode.d2.loss_cls: 0.8003, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.2296, decode.d3.loss_cls: 0.7904, decode.d3.loss_mask: 0.7613, decode.d3.loss_dice: 1.1980, decode.d4.loss_cls: 0.7747, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.1941, decode.d5.loss_cls: 0.7735, decode.d5.loss_mask: 0.7597, decode.d5.loss_dice: 1.1946, decode.d6.loss_cls: 0.7672, decode.d6.loss_mask: 0.7574, decode.d6.loss_dice: 1.1814, decode.d7.loss_cls: 0.7686, decode.d7.loss_mask: 0.7573, decode.d7.loss_dice: 1.1818, decode.d8.loss_cls: 0.7700, decode.d8.loss_mask: 0.7560, decode.d8.loss_dice: 1.1766, loss: 29.3651 2022-04-30 08:52:12,509 - mmseg - INFO - Iter [70700/80000] lr: 1.669e-07, eta: 4:48:21, time: 1.862, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7426, decode.loss_mask: 0.7639, decode.loss_dice: 1.1450, decode.d0.loss_cls: 2.5116, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3252, decode.d1.loss_cls: 0.8387, decode.d1.loss_mask: 0.7991, decode.d1.loss_dice: 1.2448, decode.d2.loss_cls: 0.7868, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.1899, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7757, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 0.7548, decode.d4.loss_mask: 0.7717, decode.d4.loss_dice: 1.1604, decode.d5.loss_cls: 0.7521, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.1537, decode.d6.loss_cls: 0.7488, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.1414, decode.d7.loss_cls: 0.7437, decode.d7.loss_mask: 0.7662, decode.d7.loss_dice: 1.1433, decode.d8.loss_cls: 0.7411, decode.d8.loss_mask: 0.7650, decode.d8.loss_dice: 1.1450, loss: 28.9459 2022-04-30 08:53:45,698 - mmseg - INFO - Iter [70750/80000] lr: 1.660e-07, eta: 4:46:48, time: 1.866, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7458, decode.loss_mask: 0.7314, decode.loss_dice: 1.1326, decode.d0.loss_cls: 2.5324, decode.d0.loss_mask: 0.7440, decode.d0.loss_dice: 1.3109, decode.d1.loss_cls: 0.8448, decode.d1.loss_mask: 0.7605, decode.d1.loss_dice: 1.2307, decode.d2.loss_cls: 0.7847, decode.d2.loss_mask: 0.7497, decode.d2.loss_dice: 1.1786, decode.d3.loss_cls: 0.7794, decode.d3.loss_mask: 0.7407, decode.d3.loss_dice: 1.1512, decode.d4.loss_cls: 0.7582, decode.d4.loss_mask: 0.7382, decode.d4.loss_dice: 1.1494, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7350, decode.d5.loss_dice: 1.1453, decode.d6.loss_cls: 0.7483, decode.d6.loss_mask: 0.7323, decode.d6.loss_dice: 1.1366, decode.d7.loss_cls: 0.7434, decode.d7.loss_mask: 0.7333, decode.d7.loss_dice: 1.1387, decode.d8.loss_cls: 0.7461, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.1347, loss: 28.5450 2022-04-30 08:55:16,820 - mmseg - INFO - Iter [70800/80000] lr: 1.651e-07, eta: 4:45:14, time: 1.822, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7944, decode.loss_mask: 0.7469, decode.loss_dice: 1.1914, decode.d0.loss_cls: 2.5974, decode.d0.loss_mask: 0.7604, decode.d0.loss_dice: 1.3719, decode.d1.loss_cls: 0.8943, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.2923, decode.d2.loss_cls: 0.8335, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.2312, decode.d3.loss_cls: 0.8119, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.2071, decode.d4.loss_cls: 0.8071, decode.d4.loss_mask: 0.7523, decode.d4.loss_dice: 1.2091, decode.d5.loss_cls: 0.8075, decode.d5.loss_mask: 0.7491, decode.d5.loss_dice: 1.2021, decode.d6.loss_cls: 0.8028, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1900, decode.d7.loss_cls: 0.7981, decode.d7.loss_mask: 0.7445, decode.d7.loss_dice: 1.1900, decode.d8.loss_cls: 0.7983, decode.d8.loss_mask: 0.7445, decode.d8.loss_dice: 1.1885, loss: 29.7630 2022-04-30 08:56:50,013 - mmseg - INFO - Iter [70850/80000] lr: 1.642e-07, eta: 4:43:41, time: 1.864, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7701, decode.loss_mask: 0.7269, decode.loss_dice: 1.1551, decode.d0.loss_cls: 2.5018, decode.d0.loss_mask: 0.7351, decode.d0.loss_dice: 1.3253, decode.d1.loss_cls: 0.8614, decode.d1.loss_mask: 0.7570, decode.d1.loss_dice: 1.2458, decode.d2.loss_cls: 0.8075, decode.d2.loss_mask: 0.7406, decode.d2.loss_dice: 1.1963, decode.d3.loss_cls: 0.7914, decode.d3.loss_mask: 0.7315, decode.d3.loss_dice: 1.1726, decode.d4.loss_cls: 0.7765, decode.d4.loss_mask: 0.7358, decode.d4.loss_dice: 1.1742, decode.d5.loss_cls: 0.7759, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.1663, decode.d6.loss_cls: 0.7688, decode.d6.loss_mask: 0.7288, decode.d6.loss_dice: 1.1538, decode.d7.loss_cls: 0.7634, decode.d7.loss_mask: 0.7229, decode.d7.loss_dice: 1.1571, decode.d8.loss_cls: 0.7669, decode.d8.loss_mask: 0.7257, decode.d8.loss_dice: 1.1564, loss: 28.8248 2022-04-30 08:58:22,895 - mmseg - INFO - Iter [70900/80000] lr: 1.633e-07, eta: 4:42:08, time: 1.858, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7357, decode.loss_mask: 0.7463, decode.loss_dice: 1.1477, decode.d0.loss_cls: 2.4738, decode.d0.loss_mask: 0.7678, decode.d0.loss_dice: 1.3172, decode.d1.loss_cls: 0.8226, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2453, decode.d2.loss_cls: 0.7697, decode.d2.loss_mask: 0.7663, decode.d2.loss_dice: 1.2003, decode.d3.loss_cls: 0.7619, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1713, decode.d4.loss_cls: 0.7493, decode.d4.loss_mask: 0.7529, decode.d4.loss_dice: 1.1733, decode.d5.loss_cls: 0.7489, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1632, decode.d6.loss_cls: 0.7394, decode.d6.loss_mask: 0.7511, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.1541, decode.d8.loss_cls: 0.7348, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.1548, loss: 28.7306 2022-04-30 08:59:55,887 - mmseg - INFO - Iter [70950/80000] lr: 1.624e-07, eta: 4:40:35, time: 1.860, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7676, decode.loss_mask: 0.7588, decode.loss_dice: 1.1585, decode.d0.loss_cls: 2.5176, decode.d0.loss_mask: 0.7708, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8707, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2461, decode.d2.loss_cls: 0.8010, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.1963, decode.d3.loss_cls: 0.7915, decode.d3.loss_mask: 0.7659, decode.d3.loss_dice: 1.1695, decode.d4.loss_cls: 0.7831, decode.d4.loss_mask: 0.7640, decode.d4.loss_dice: 1.1692, decode.d5.loss_cls: 0.7785, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.1705, decode.d6.loss_cls: 0.7699, decode.d6.loss_mask: 0.7617, decode.d6.loss_dice: 1.1579, decode.d7.loss_cls: 0.7733, decode.d7.loss_mask: 0.7605, decode.d7.loss_dice: 1.1547, decode.d8.loss_cls: 0.7670, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.1542, loss: 29.1897 2022-04-30 09:01:26,922 - mmseg - INFO - Saving checkpoint at 71000 iterations 2022-04-30 09:01:45,704 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 09:01:45,707 - mmseg - INFO - Iter [71000/80000] lr: 1.615e-07, eta: 4:39:04, time: 2.193, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7553, decode.loss_mask: 0.7380, decode.loss_dice: 1.1477, decode.d0.loss_cls: 2.5059, decode.d0.loss_mask: 0.7552, decode.d0.loss_dice: 1.3189, decode.d1.loss_cls: 0.8532, decode.d1.loss_mask: 0.7715, decode.d1.loss_dice: 1.2502, decode.d2.loss_cls: 0.7990, decode.d2.loss_mask: 0.7535, decode.d2.loss_dice: 1.1903, decode.d3.loss_cls: 0.7781, decode.d3.loss_mask: 0.7460, decode.d3.loss_dice: 1.1738, decode.d4.loss_cls: 0.7710, decode.d4.loss_mask: 0.7463, decode.d4.loss_dice: 1.1700, decode.d5.loss_cls: 0.7692, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.1616, decode.d6.loss_cls: 0.7594, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.1527, decode.d7.loss_cls: 0.7590, decode.d7.loss_mask: 0.7396, decode.d7.loss_dice: 1.1532, decode.d8.loss_cls: 0.7542, decode.d8.loss_mask: 0.7391, decode.d8.loss_dice: 1.1500, loss: 28.8403 2022-04-30 09:03:19,561 - mmseg - INFO - Iter [71050/80000] lr: 1.606e-07, eta: 4:37:31, time: 1.880, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7769, decode.loss_mask: 0.7221, decode.loss_dice: 1.1529, decode.d0.loss_cls: 2.5434, decode.d0.loss_mask: 0.7425, decode.d0.loss_dice: 1.3366, decode.d1.loss_cls: 0.8730, decode.d1.loss_mask: 0.7523, decode.d1.loss_dice: 1.2544, decode.d2.loss_cls: 0.8152, decode.d2.loss_mask: 0.7384, decode.d2.loss_dice: 1.1988, decode.d3.loss_cls: 0.7954, decode.d3.loss_mask: 0.7317, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.7870, decode.d4.loss_mask: 0.7292, decode.d4.loss_dice: 1.1739, decode.d5.loss_cls: 0.7868, decode.d5.loss_mask: 0.7283, decode.d5.loss_dice: 1.1723, decode.d6.loss_cls: 0.7849, decode.d6.loss_mask: 0.7245, decode.d6.loss_dice: 1.1630, decode.d7.loss_cls: 0.7809, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.7770, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.1606, loss: 28.9789 2022-04-30 09:04:52,689 - mmseg - INFO - Iter [71100/80000] lr: 1.598e-07, eta: 4:35:58, time: 1.863, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7695, decode.loss_mask: 0.7497, decode.loss_dice: 1.1549, decode.d0.loss_cls: 2.4971, decode.d0.loss_mask: 0.7602, decode.d0.loss_dice: 1.3450, decode.d1.loss_cls: 0.8575, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.2615, decode.d2.loss_cls: 0.8109, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.2026, decode.d3.loss_cls: 0.7914, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.1895, decode.d4.loss_cls: 0.7804, decode.d4.loss_mask: 0.7607, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.7801, decode.d5.loss_mask: 0.7551, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7773, decode.d6.loss_mask: 0.7560, decode.d6.loss_dice: 1.1615, decode.d7.loss_cls: 0.7743, decode.d7.loss_mask: 0.7518, decode.d7.loss_dice: 1.1582, decode.d8.loss_cls: 0.7728, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1616, loss: 29.2009 2022-04-30 09:06:25,858 - mmseg - INFO - Iter [71150/80000] lr: 1.589e-07, eta: 4:34:25, time: 1.864, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7395, decode.loss_mask: 0.7454, decode.loss_dice: 1.1474, decode.d0.loss_cls: 2.5000, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.3199, decode.d1.loss_cls: 0.8227, decode.d1.loss_mask: 0.7837, decode.d1.loss_dice: 1.2443, decode.d2.loss_cls: 0.7746, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.1895, decode.d3.loss_cls: 0.7520, decode.d3.loss_mask: 0.7568, decode.d3.loss_dice: 1.1720, decode.d4.loss_cls: 0.7469, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1639, decode.d5.loss_cls: 0.7418, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1589, decode.d6.loss_cls: 0.7419, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7357, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.1487, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7466, decode.d8.loss_dice: 1.1499, loss: 28.6845 2022-04-30 09:07:57,710 - mmseg - INFO - Iter [71200/80000] lr: 1.580e-07, eta: 4:32:52, time: 1.837, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7730, decode.loss_mask: 0.7278, decode.loss_dice: 1.1357, decode.d0.loss_cls: 2.5686, decode.d0.loss_mask: 0.7515, decode.d0.loss_dice: 1.3200, decode.d1.loss_cls: 0.8543, decode.d1.loss_mask: 0.7677, decode.d1.loss_dice: 1.2399, decode.d2.loss_cls: 0.7960, decode.d2.loss_mask: 0.7504, decode.d2.loss_dice: 1.1825, decode.d3.loss_cls: 0.7871, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.1554, decode.d4.loss_cls: 0.7741, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.1567, decode.d5.loss_cls: 0.7690, decode.d5.loss_mask: 0.7361, decode.d5.loss_dice: 1.1515, decode.d6.loss_cls: 0.7649, decode.d6.loss_mask: 0.7333, decode.d6.loss_dice: 1.1415, decode.d7.loss_cls: 0.7683, decode.d7.loss_mask: 0.7300, decode.d7.loss_dice: 1.1386, decode.d8.loss_cls: 0.7612, decode.d8.loss_mask: 0.7316, decode.d8.loss_dice: 1.1398, loss: 28.7839 2022-04-30 09:09:30,442 - mmseg - INFO - Iter [71250/80000] lr: 1.571e-07, eta: 4:31:19, time: 1.855, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7306, decode.loss_mask: 0.7513, decode.loss_dice: 1.1180, decode.d0.loss_cls: 2.4582, decode.d0.loss_mask: 0.7764, decode.d0.loss_dice: 1.3025, decode.d1.loss_cls: 0.8100, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.2260, decode.d2.loss_cls: 0.7615, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.1757, decode.d3.loss_cls: 0.7563, decode.d3.loss_mask: 0.7575, decode.d3.loss_dice: 1.1455, decode.d4.loss_cls: 0.7470, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.1424, decode.d5.loss_cls: 0.7373, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.1371, decode.d6.loss_cls: 0.7354, decode.d6.loss_mask: 0.7522, decode.d6.loss_dice: 1.1284, decode.d7.loss_cls: 0.7279, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1304, decode.d8.loss_cls: 0.7271, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.1237, loss: 28.4253 2022-04-30 09:11:02,295 - mmseg - INFO - Iter [71300/80000] lr: 1.562e-07, eta: 4:29:46, time: 1.837, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7450, decode.loss_mask: 0.7246, decode.loss_dice: 1.1546, decode.d0.loss_cls: 2.4940, decode.d0.loss_mask: 0.7388, decode.d0.loss_dice: 1.3279, decode.d1.loss_cls: 0.8367, decode.d1.loss_mask: 0.7565, decode.d1.loss_dice: 1.2523, decode.d2.loss_cls: 0.7781, decode.d2.loss_mask: 0.7379, decode.d2.loss_dice: 1.2005, decode.d3.loss_cls: 0.7630, decode.d3.loss_mask: 0.7308, decode.d3.loss_dice: 1.1767, decode.d4.loss_cls: 0.7527, decode.d4.loss_mask: 0.7279, decode.d4.loss_dice: 1.1731, decode.d5.loss_cls: 0.7490, decode.d5.loss_mask: 0.7295, decode.d5.loss_dice: 1.1656, decode.d6.loss_cls: 0.7418, decode.d6.loss_mask: 0.7263, decode.d6.loss_dice: 1.1572, decode.d7.loss_cls: 0.7415, decode.d7.loss_mask: 0.7258, decode.d7.loss_dice: 1.1628, decode.d8.loss_cls: 0.7454, decode.d8.loss_mask: 0.7235, decode.d8.loss_dice: 1.1533, loss: 28.5926 2022-04-30 09:12:35,097 - mmseg - INFO - Iter [71350/80000] lr: 1.553e-07, eta: 4:28:13, time: 1.856, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7748, decode.loss_mask: 0.7451, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.5247, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 0.8634, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2636, decode.d2.loss_cls: 0.8037, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.2122, decode.d3.loss_cls: 0.7897, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.1842, decode.d4.loss_cls: 0.7821, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.1841, decode.d5.loss_cls: 0.7827, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7838, decode.d6.loss_mask: 0.7409, decode.d6.loss_dice: 1.1665, decode.d7.loss_cls: 0.7709, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.1665, decode.d8.loss_cls: 0.7725, decode.d8.loss_mask: 0.7478, decode.d8.loss_dice: 1.1631, loss: 29.1985 2022-04-30 09:14:07,314 - mmseg - INFO - Iter [71400/80000] lr: 1.544e-07, eta: 4:26:40, time: 1.844, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7502, decode.loss_mask: 0.7265, decode.loss_dice: 1.1473, decode.d0.loss_cls: 2.5154, decode.d0.loss_mask: 0.7395, decode.d0.loss_dice: 1.3234, decode.d1.loss_cls: 0.8456, decode.d1.loss_mask: 0.7581, decode.d1.loss_dice: 1.2492, decode.d2.loss_cls: 0.7798, decode.d2.loss_mask: 0.7412, decode.d2.loss_dice: 1.1910, decode.d3.loss_cls: 0.7706, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1660, decode.d4.loss_cls: 0.7603, decode.d4.loss_mask: 0.7325, decode.d4.loss_dice: 1.1672, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.1619, decode.d6.loss_cls: 0.7548, decode.d6.loss_mask: 0.7295, decode.d6.loss_dice: 1.1537, decode.d7.loss_cls: 0.7551, decode.d7.loss_mask: 0.7285, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.7513, decode.d8.loss_mask: 0.7276, decode.d8.loss_dice: 1.1519, loss: 28.6524 2022-04-30 09:15:41,034 - mmseg - INFO - Iter [71450/80000] lr: 1.535e-07, eta: 4:25:07, time: 1.874, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7479, decode.loss_mask: 0.7281, decode.loss_dice: 1.1467, decode.d0.loss_cls: 2.5247, decode.d0.loss_mask: 0.7443, decode.d0.loss_dice: 1.3223, decode.d1.loss_cls: 0.8456, decode.d1.loss_mask: 0.7581, decode.d1.loss_dice: 1.2466, decode.d2.loss_cls: 0.7894, decode.d2.loss_mask: 0.7430, decode.d2.loss_dice: 1.1994, decode.d3.loss_cls: 0.7683, decode.d3.loss_mask: 0.7379, decode.d3.loss_dice: 1.1683, decode.d4.loss_cls: 0.7568, decode.d4.loss_mask: 0.7375, decode.d4.loss_dice: 1.1716, decode.d5.loss_cls: 0.7575, decode.d5.loss_mask: 0.7335, decode.d5.loss_dice: 1.1609, decode.d6.loss_cls: 0.7584, decode.d6.loss_mask: 0.7265, decode.d6.loss_dice: 1.1488, decode.d7.loss_cls: 0.7480, decode.d7.loss_mask: 0.7271, decode.d7.loss_dice: 1.1543, decode.d8.loss_cls: 0.7519, decode.d8.loss_mask: 0.7253, decode.d8.loss_dice: 1.1520, loss: 28.6804 2022-04-30 09:17:14,612 - mmseg - INFO - Iter [71500/80000] lr: 1.526e-07, eta: 4:23:34, time: 1.871, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7564, decode.loss_mask: 0.7323, decode.loss_dice: 1.1300, decode.d0.loss_cls: 2.5603, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.3162, decode.d1.loss_cls: 0.8600, decode.d1.loss_mask: 0.7666, decode.d1.loss_dice: 1.2282, decode.d2.loss_cls: 0.8010, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.1878, decode.d3.loss_cls: 0.7835, decode.d3.loss_mask: 0.7372, decode.d3.loss_dice: 1.1556, decode.d4.loss_cls: 0.7739, decode.d4.loss_mask: 0.7388, decode.d4.loss_dice: 1.1526, decode.d5.loss_cls: 0.7657, decode.d5.loss_mask: 0.7398, decode.d5.loss_dice: 1.1459, decode.d6.loss_cls: 0.7594, decode.d6.loss_mask: 0.7337, decode.d6.loss_dice: 1.1348, decode.d7.loss_cls: 0.7569, decode.d7.loss_mask: 0.7329, decode.d7.loss_dice: 1.1412, decode.d8.loss_cls: 0.7544, decode.d8.loss_mask: 0.7299, decode.d8.loss_dice: 1.1335, loss: 28.7016 2022-04-30 09:18:47,632 - mmseg - INFO - Iter [71550/80000] lr: 1.517e-07, eta: 4:22:01, time: 1.860, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7707, decode.loss_mask: 0.7382, decode.loss_dice: 1.1570, decode.d0.loss_cls: 2.4512, decode.d0.loss_mask: 0.7721, decode.d0.loss_dice: 1.3380, decode.d1.loss_cls: 0.8681, decode.d1.loss_mask: 0.7663, decode.d1.loss_dice: 1.2491, decode.d2.loss_cls: 0.8121, decode.d2.loss_mask: 0.7544, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7945, decode.d3.loss_mask: 0.7446, decode.d3.loss_dice: 1.1744, decode.d4.loss_cls: 0.7871, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1656, decode.d5.loss_cls: 0.7862, decode.d5.loss_mask: 0.7396, decode.d5.loss_dice: 1.1612, decode.d6.loss_cls: 0.7776, decode.d6.loss_mask: 0.7389, decode.d6.loss_dice: 1.1585, decode.d7.loss_cls: 0.7794, decode.d7.loss_mask: 0.7355, decode.d7.loss_dice: 1.1534, decode.d8.loss_cls: 0.7749, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1556, loss: 28.9792 2022-04-30 09:20:20,752 - mmseg - INFO - Iter [71600/80000] lr: 1.508e-07, eta: 4:20:28, time: 1.862, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7736, decode.loss_mask: 0.7487, decode.loss_dice: 1.1849, decode.d0.loss_cls: 2.5464, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3646, decode.d1.loss_cls: 0.8552, decode.d1.loss_mask: 0.7842, decode.d1.loss_dice: 1.2928, decode.d2.loss_cls: 0.8086, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.2433, decode.d3.loss_cls: 0.8014, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.2052, decode.d4.loss_cls: 0.7913, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.2024, decode.d5.loss_cls: 0.7861, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.2004, decode.d6.loss_cls: 0.7798, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.1948, decode.d7.loss_cls: 0.7819, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1903, decode.d8.loss_cls: 0.7760, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.1882, loss: 29.5391 2022-04-30 09:21:53,611 - mmseg - INFO - Iter [71650/80000] lr: 1.499e-07, eta: 4:18:55, time: 1.857, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7229, decode.loss_mask: 0.7470, decode.loss_dice: 1.1282, decode.d0.loss_cls: 2.4867, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.2934, decode.d1.loss_cls: 0.8209, decode.d1.loss_mask: 0.7784, decode.d1.loss_dice: 1.2278, decode.d2.loss_cls: 0.7615, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.1713, decode.d3.loss_cls: 0.7518, decode.d3.loss_mask: 0.7523, decode.d3.loss_dice: 1.1449, decode.d4.loss_cls: 0.7391, decode.d4.loss_mask: 0.7552, decode.d4.loss_dice: 1.1451, decode.d5.loss_cls: 0.7319, decode.d5.loss_mask: 0.7497, decode.d5.loss_dice: 1.1402, decode.d6.loss_cls: 0.7262, decode.d6.loss_mask: 0.7494, decode.d6.loss_dice: 1.1413, decode.d7.loss_cls: 0.7242, decode.d7.loss_mask: 0.7507, decode.d7.loss_dice: 1.1343, decode.d8.loss_cls: 0.7212, decode.d8.loss_mask: 0.7462, decode.d8.loss_dice: 1.1356, loss: 28.3981 2022-04-30 09:23:27,306 - mmseg - INFO - Iter [71700/80000] lr: 1.490e-07, eta: 4:17:22, time: 1.873, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7404, decode.loss_mask: 0.7425, decode.loss_dice: 1.1276, decode.d0.loss_cls: 2.4627, decode.d0.loss_mask: 0.7634, decode.d0.loss_dice: 1.2932, decode.d1.loss_cls: 0.8285, decode.d1.loss_mask: 0.7775, decode.d1.loss_dice: 1.2282, decode.d2.loss_cls: 0.7709, decode.d2.loss_mask: 0.7577, decode.d2.loss_dice: 1.1711, decode.d3.loss_cls: 0.7584, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1452, decode.d4.loss_cls: 0.7551, decode.d4.loss_mask: 0.7475, decode.d4.loss_dice: 1.1408, decode.d5.loss_cls: 0.7445, decode.d5.loss_mask: 0.7437, decode.d5.loss_dice: 1.1306, decode.d6.loss_cls: 0.7430, decode.d6.loss_mask: 0.7407, decode.d6.loss_dice: 1.1275, decode.d7.loss_cls: 0.7448, decode.d7.loss_mask: 0.7434, decode.d7.loss_dice: 1.1260, decode.d8.loss_cls: 0.7455, decode.d8.loss_mask: 0.7398, decode.d8.loss_dice: 1.1250, loss: 28.4155 2022-04-30 09:25:01,151 - mmseg - INFO - Iter [71750/80000] lr: 1.481e-07, eta: 4:15:49, time: 1.878, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7304, decode.loss_mask: 0.7392, decode.loss_dice: 1.1474, decode.d0.loss_cls: 2.5355, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.3234, decode.d1.loss_cls: 0.8246, decode.d1.loss_mask: 0.7712, decode.d1.loss_dice: 1.2620, decode.d2.loss_cls: 0.7683, decode.d2.loss_mask: 0.7561, decode.d2.loss_dice: 1.1904, decode.d3.loss_cls: 0.7513, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1687, decode.d4.loss_cls: 0.7439, decode.d4.loss_mask: 0.7467, decode.d4.loss_dice: 1.1605, decode.d5.loss_cls: 0.7435, decode.d5.loss_mask: 0.7445, decode.d5.loss_dice: 1.1579, decode.d6.loss_cls: 0.7381, decode.d6.loss_mask: 0.7398, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7272, decode.d7.loss_mask: 0.7412, decode.d7.loss_dice: 1.1455, decode.d8.loss_cls: 0.7268, decode.d8.loss_mask: 0.7401, decode.d8.loss_dice: 1.1445, loss: 28.6288 2022-04-30 09:26:32,270 - mmseg - INFO - Iter [71800/80000] lr: 1.472e-07, eta: 4:14:16, time: 1.822, data_time: 0.015, memory: 64979, decode.loss_cls: 0.8029, decode.loss_mask: 0.7422, decode.loss_dice: 1.1631, decode.d0.loss_cls: 2.6034, decode.d0.loss_mask: 0.7561, decode.d0.loss_dice: 1.3439, decode.d1.loss_cls: 0.8881, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.2794, decode.d2.loss_cls: 0.8350, decode.d2.loss_mask: 0.7614, decode.d2.loss_dice: 1.2133, decode.d3.loss_cls: 0.8188, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.1844, decode.d4.loss_cls: 0.8111, decode.d4.loss_mask: 0.7486, decode.d4.loss_dice: 1.1819, decode.d5.loss_cls: 0.8071, decode.d5.loss_mask: 0.7458, decode.d5.loss_dice: 1.1830, decode.d6.loss_cls: 0.7984, decode.d6.loss_mask: 0.7431, decode.d6.loss_dice: 1.1698, decode.d7.loss_cls: 0.7960, decode.d7.loss_mask: 0.7415, decode.d7.loss_dice: 1.1694, decode.d8.loss_cls: 0.7974, decode.d8.loss_mask: 0.7415, decode.d8.loss_dice: 1.1660, loss: 29.5271 2022-04-30 09:28:04,819 - mmseg - INFO - Iter [71850/80000] lr: 1.463e-07, eta: 4:12:43, time: 1.851, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7666, decode.loss_mask: 0.7595, decode.loss_dice: 1.1523, decode.d0.loss_cls: 2.5249, decode.d0.loss_mask: 0.7769, decode.d0.loss_dice: 1.3199, decode.d1.loss_cls: 0.8622, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.2501, decode.d2.loss_cls: 0.8079, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.1948, decode.d3.loss_cls: 0.7968, decode.d3.loss_mask: 0.7632, decode.d3.loss_dice: 1.1698, decode.d4.loss_cls: 0.7841, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.1695, decode.d5.loss_cls: 0.7867, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1597, decode.d6.loss_cls: 0.7709, decode.d6.loss_mask: 0.7586, decode.d6.loss_dice: 1.1525, decode.d7.loss_cls: 0.7707, decode.d7.loss_mask: 0.7566, decode.d7.loss_dice: 1.1561, decode.d8.loss_cls: 0.7645, decode.d8.loss_mask: 0.7581, decode.d8.loss_dice: 1.1492, loss: 29.1680 2022-04-30 09:29:37,070 - mmseg - INFO - Iter [71900/80000] lr: 1.454e-07, eta: 4:11:10, time: 1.845, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7631, decode.loss_mask: 0.7651, decode.loss_dice: 1.1694, decode.d0.loss_cls: 2.5597, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.3370, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.7918, decode.d1.loss_dice: 1.2719, decode.d2.loss_cls: 0.8092, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2110, decode.d3.loss_cls: 0.7942, decode.d3.loss_mask: 0.7715, decode.d3.loss_dice: 1.1883, decode.d4.loss_cls: 0.7776, decode.d4.loss_mask: 0.7730, decode.d4.loss_dice: 1.1844, decode.d5.loss_cls: 0.7793, decode.d5.loss_mask: 0.7655, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.7666, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.1735, decode.d7.loss_cls: 0.7635, decode.d7.loss_mask: 0.7618, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7630, decode.d8.loss_dice: 1.1767, loss: 29.4174 2022-04-30 09:31:10,522 - mmseg - INFO - Iter [71950/80000] lr: 1.445e-07, eta: 4:09:37, time: 1.869, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7476, decode.loss_mask: 0.7327, decode.loss_dice: 1.1369, decode.d0.loss_cls: 2.4897, decode.d0.loss_mask: 0.7598, decode.d0.loss_dice: 1.3168, decode.d1.loss_cls: 0.8325, decode.d1.loss_mask: 0.7730, decode.d1.loss_dice: 1.2384, decode.d2.loss_cls: 0.7786, decode.d2.loss_mask: 0.7589, decode.d2.loss_dice: 1.1866, decode.d3.loss_cls: 0.7596, decode.d3.loss_mask: 0.7488, decode.d3.loss_dice: 1.1674, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1580, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7433, decode.d5.loss_dice: 1.1510, decode.d6.loss_cls: 0.7503, decode.d6.loss_mask: 0.7369, decode.d6.loss_dice: 1.1438, decode.d7.loss_cls: 0.7438, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1436, decode.d8.loss_cls: 0.7440, decode.d8.loss_mask: 0.7373, decode.d8.loss_dice: 1.1392, loss: 28.6080 2022-04-30 09:32:43,565 - mmseg - INFO - Saving checkpoint at 72000 iterations 2022-04-30 09:33:02,519 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 09:33:02,523 - mmseg - INFO - Iter [72000/80000] lr: 1.436e-07, eta: 4:08:06, time: 2.239, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7379, decode.loss_mask: 0.7658, decode.loss_dice: 1.1529, decode.d0.loss_cls: 2.4399, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.3135, decode.d1.loss_cls: 0.8455, decode.d1.loss_mask: 0.8016, decode.d1.loss_dice: 1.2446, decode.d2.loss_cls: 0.7748, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.1919, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.1702, decode.d4.loss_cls: 0.7431, decode.d4.loss_mask: 0.7723, decode.d4.loss_dice: 1.1711, decode.d5.loss_cls: 0.7486, decode.d5.loss_mask: 0.7698, decode.d5.loss_dice: 1.1665, decode.d6.loss_cls: 0.7430, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.1536, decode.d7.loss_cls: 0.7353, decode.d7.loss_mask: 0.7695, decode.d7.loss_dice: 1.1558, decode.d8.loss_cls: 0.7319, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.1542, loss: 28.8954 2022-04-30 09:38:02,541 - mmseg - INFO - per class results: 2022-04-30 09:38:02,562 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.79 | 93.97 | | bicycle | 76.22 | 86.86 | | car | 65.61 | 84.71 | | motorcycle | 86.29 | 91.39 | | airplane | 84.47 | 91.4 | | bus | 84.61 | 90.86 | | train | 84.59 | 95.66 | | truck | 64.58 | 79.06 | | boat | 70.35 | 85.6 | | traffic light | 73.6 | 89.18 | | fire hydrant | 91.55 | 96.27 | | stop sign | 91.4 | 97.98 | | parking meter | 76.69 | 87.65 | | bench | 56.82 | 76.52 | | bird | 86.18 | 92.43 | | cat | 85.38 | 91.43 | | dog | 80.28 | 87.64 | | horse | 87.12 | 94.64 | | sheep | 88.76 | 95.9 | | cow | 88.8 | 92.99 | | elephant | 93.44 | 96.82 | | bear | 93.3 | 96.24 | | zebra | 92.94 | 96.02 | | giraffe | 88.6 | 94.65 | | backpack | 42.55 | 72.41 | | umbrella | 87.5 | 92.45 | | handbag | 43.1 | 68.95 | | tie | 17.31 | 21.18 | | suitcase | 84.17 | 94.36 | | frisbee | 81.92 | 95.12 | | skis | 60.93 | 76.36 | | snowboard | 72.9 | 82.69 | | sports ball | 65.79 | 79.68 | | kite | 75.25 | 86.82 | | baseball bat | 59.64 | 84.03 | | baseball glove | 75.08 | 91.89 | | skateboard | 85.44 | 91.51 | | surfboard | 84.35 | 91.88 | | tennis racket | 89.88 | 95.33 | | bottle | 51.18 | 65.4 | | wine glass | 63.23 | 86.04 | | cup | 60.9 | 77.36 | | fork | 45.09 | 53.68 | | knife | 42.31 | 57.0 | | spoon | 29.35 | 45.3 | | bowl | 50.16 | 67.66 | | banana | 71.77 | 91.24 | | apple | 57.7 | 74.27 | | sandwich | 45.86 | 59.69 | | orange | 74.4 | 80.5 | | broccoli | 52.54 | 62.61 | | carrot | 59.89 | 71.14 | | hot dog | 54.76 | 65.89 | | pizza | 75.66 | 88.13 | | donut | 74.03 | 85.87 | | cake | 70.77 | 84.25 | | chair | 55.5 | 73.99 | | couch | 60.72 | 80.32 | | potted plant | 37.58 | 62.05 | | bed | 69.06 | 83.6 | | dining table | 45.92 | 80.89 | | toilet | 83.38 | 95.06 | | tv | 73.44 | 85.68 | | laptop | 79.99 | 93.11 | | mouse | 79.98 | 89.79 | | remote | 62.57 | 77.68 | | keyboard | 72.8 | 82.74 | | cell phone | 76.5 | 89.56 | | microwave | 70.78 | 83.72 | | oven | 63.69 | 85.16 | | toaster | 60.64 | 69.51 | | sink | 66.24 | 81.09 | | refrigerator | 79.59 | 92.15 | | book | 53.53 | 75.45 | | clock | 71.89 | 83.18 | | vase | 60.54 | 84.56 | | scissors | 82.3 | 91.22 | | teddy bear | 79.74 | 91.49 | | hair drier | 68.4 | 79.37 | | toothbrush | 58.17 | 84.12 | | banner | 32.43 | 60.26 | | blanket | 5.66 | 6.92 | | branch | 17.99 | 32.18 | | bridge | 42.79 | 59.93 | | building-other | 54.17 | 69.88 | | bush | 36.37 | 49.41 | | cabinet | 57.77 | 76.1 | | cage | 15.01 | 20.36 | | cardboard | 47.61 | 57.43 | | carpet | 50.48 | 66.47 | | ceiling-other | 66.85 | 84.82 | | ceiling-tile | 6.75 | 6.77 | | cloth | 4.77 | 4.92 | | clothes | 24.38 | 38.14 | | clouds | 47.36 | 62.8 | | counter | 32.74 | 57.43 | | cupboard | 0.0 | 0.0 | | curtain | 70.72 | 82.94 | | desk-stuff | 47.64 | 65.21 | | dirt | 43.16 | 62.11 | | door-stuff | 48.28 | 72.35 | | fence | 33.03 | 59.13 | | floor-marble | 13.74 | 19.82 | | floor-other | 22.64 | 29.36 | | floor-stone | 7.33 | 9.88 | | floor-tile | 61.6 | 72.57 | | floor-wood | 63.41 | 80.11 | | flower | 39.57 | 58.97 | | fog | 6.25 | 6.46 | | food-other | 30.61 | 36.68 | | fruit | 42.68 | 65.07 | | furniture-other | 22.2 | 30.61 | | grass | 71.58 | 84.23 | | gravel | 32.08 | 47.01 | | ground-other | 2.45 | 2.82 | | hill | 20.4 | 26.86 | | house | 25.77 | 34.17 | | leaves | 23.85 | 31.47 | | light | 42.92 | 61.7 | | mat | 0.04 | 0.04 | | metal | 36.81 | 52.71 | | mirror-stuff | 61.48 | 77.33 | | moss | 0.0 | 0.0 | | mountain | 56.01 | 70.78 | | mud | 5.83 | 9.72 | | napkin | 8.75 | 11.82 | | net | 48.28 | 69.01 | | paper | 29.11 | 40.96 | | pavement | 52.47 | 69.01 | | pillow | 21.92 | 40.47 | | plant-other | 21.92 | 42.89 | | plastic | 27.59 | 38.06 | | platform | 33.58 | 51.97 | | playingfield | 69.18 | 90.25 | | railing | 9.68 | 21.34 | | railroad | 62.55 | 81.63 | | river | 52.8 | 72.26 | | road | 66.81 | 85.44 | | rock | 40.77 | 64.92 | | roof | 20.0 | 26.68 | | rug | 32.87 | 59.86 | | salad | 0.2 | 0.21 | | sand | 68.26 | 75.98 | | sea | 84.36 | 90.23 | | shelf | 38.04 | 52.01 | | sky-other | 71.14 | 86.76 | | skyscraper | 35.0 | 45.15 | | snow | 91.9 | 95.72 | | solid-other | 0.0 | 0.0 | | stairs | 30.38 | 56.97 | | stone | 3.82 | 5.88 | | straw | 30.04 | 41.41 | | structural-other | 1.76 | 1.91 | | table | 16.88 | 20.15 | | tent | 9.75 | 11.96 | | textile-other | 15.78 | 28.75 | | towel | 39.51 | 49.56 | | tree | 74.2 | 85.07 | | vegetable | 42.33 | 55.87 | | wall-brick | 54.22 | 71.2 | | wall-concrete | 63.45 | 79.73 | | wall-other | 22.85 | 37.2 | | wall-panel | 7.64 | 9.09 | | wall-stone | 32.34 | 43.46 | | wall-tile | 72.63 | 87.39 | | wall-wood | 43.42 | 63.0 | | water-other | 21.65 | 35.26 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.15 | 64.22 | | window-other | 49.41 | 70.18 | | wood | 27.87 | 42.78 | +------------------+-------+-------+ 2022-04-30 09:38:02,563 - mmseg - INFO - Summary: 2022-04-30 09:38:02,563 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.19 | 51.31 | 63.74 | +-------+-------+-------+ 2022-04-30 09:38:02,579 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 09:38:02,580 - mmseg - INFO - Iter(val) [313] aAcc: 0.7319, mIoU: 0.5131, mAcc: 0.6374, IoU.person: 0.8779, IoU.bicycle: 0.7622, IoU.car: 0.6561, IoU.motorcycle: 0.8629, IoU.airplane: 0.8447, IoU.bus: 0.8461, IoU.train: 0.8459, IoU.truck: 0.6458, IoU.boat: 0.7035, IoU.traffic light: 0.7360, IoU.fire hydrant: 0.9155, IoU.stop sign: 0.9140, IoU.parking meter: 0.7669, IoU.bench: 0.5682, IoU.bird: 0.8618, IoU.cat: 0.8538, IoU.dog: 0.8028, IoU.horse: 0.8712, IoU.sheep: 0.8876, IoU.cow: 0.8880, IoU.elephant: 0.9344, IoU.bear: 0.9330, IoU.zebra: 0.9294, IoU.giraffe: 0.8860, IoU.backpack: 0.4255, IoU.umbrella: 0.8750, IoU.handbag: 0.4310, IoU.tie: 0.1731, IoU.suitcase: 0.8417, IoU.frisbee: 0.8192, IoU.skis: 0.6093, IoU.snowboard: 0.7290, IoU.sports ball: 0.6579, IoU.kite: 0.7525, IoU.baseball bat: 0.5964, IoU.baseball glove: 0.7508, IoU.skateboard: 0.8544, IoU.surfboard: 0.8435, IoU.tennis racket: 0.8988, IoU.bottle: 0.5118, IoU.wine glass: 0.6323, IoU.cup: 0.6090, IoU.fork: 0.4509, IoU.knife: 0.4231, IoU.spoon: 0.2935, IoU.bowl: 0.5016, IoU.banana: 0.7177, IoU.apple: 0.5770, IoU.sandwich: 0.4586, IoU.orange: 0.7440, IoU.broccoli: 0.5254, IoU.carrot: 0.5989, IoU.hot dog: 0.5476, IoU.pizza: 0.7566, IoU.donut: 0.7403, IoU.cake: 0.7077, IoU.chair: 0.5550, IoU.couch: 0.6072, IoU.potted plant: 0.3758, IoU.bed: 0.6906, IoU.dining table: 0.4592, IoU.toilet: 0.8338, IoU.tv: 0.7344, IoU.laptop: 0.7999, IoU.mouse: 0.7998, IoU.remote: 0.6257, IoU.keyboard: 0.7280, IoU.cell phone: 0.7650, IoU.microwave: 0.7078, IoU.oven: 0.6369, IoU.toaster: 0.6064, IoU.sink: 0.6624, IoU.refrigerator: 0.7959, IoU.book: 0.5353, IoU.clock: 0.7189, IoU.vase: 0.6054, IoU.scissors: 0.8230, IoU.teddy bear: 0.7974, IoU.hair drier: 0.6840, IoU.toothbrush: 0.5817, IoU.banner: 0.3243, IoU.blanket: 0.0566, IoU.branch: 0.1799, IoU.bridge: 0.4279, IoU.building-other: 0.5417, IoU.bush: 0.3637, IoU.cabinet: 0.5777, IoU.cage: 0.1501, IoU.cardboard: 0.4761, IoU.carpet: 0.5048, IoU.ceiling-other: 0.6685, IoU.ceiling-tile: 0.0675, IoU.cloth: 0.0477, IoU.clothes: 0.2438, IoU.clouds: 0.4736, IoU.counter: 0.3274, IoU.cupboard: 0.0000, IoU.curtain: 0.7072, IoU.desk-stuff: 0.4764, IoU.dirt: 0.4316, IoU.door-stuff: 0.4828, IoU.fence: 0.3303, IoU.floor-marble: 0.1374, IoU.floor-other: 0.2264, IoU.floor-stone: 0.0733, IoU.floor-tile: 0.6160, IoU.floor-wood: 0.6341, IoU.flower: 0.3957, IoU.fog: 0.0625, IoU.food-other: 0.3061, IoU.fruit: 0.4268, IoU.furniture-other: 0.2220, IoU.grass: 0.7158, IoU.gravel: 0.3208, IoU.ground-other: 0.0245, IoU.hill: 0.2040, IoU.house: 0.2577, IoU.leaves: 0.2385, IoU.light: 0.4292, IoU.mat: 0.0004, IoU.metal: 0.3681, IoU.mirror-stuff: 0.6148, IoU.moss: 0.0000, IoU.mountain: 0.5601, IoU.mud: 0.0583, IoU.napkin: 0.0875, IoU.net: 0.4828, IoU.paper: 0.2911, IoU.pavement: 0.5247, IoU.pillow: 0.2192, IoU.plant-other: 0.2192, IoU.plastic: 0.2759, IoU.platform: 0.3358, IoU.playingfield: 0.6918, IoU.railing: 0.0968, IoU.railroad: 0.6255, IoU.river: 0.5280, IoU.road: 0.6681, IoU.rock: 0.4077, IoU.roof: 0.2000, IoU.rug: 0.3287, IoU.salad: 0.0020, IoU.sand: 0.6826, IoU.sea: 0.8436, IoU.shelf: 0.3804, IoU.sky-other: 0.7114, IoU.skyscraper: 0.3500, IoU.snow: 0.9190, IoU.solid-other: 0.0000, IoU.stairs: 0.3038, IoU.stone: 0.0382, IoU.straw: 0.3004, IoU.structural-other: 0.0176, IoU.table: 0.1688, IoU.tent: 0.0975, IoU.textile-other: 0.1578, IoU.towel: 0.3951, IoU.tree: 0.7420, IoU.vegetable: 0.4233, IoU.wall-brick: 0.5422, IoU.wall-concrete: 0.6345, IoU.wall-other: 0.2285, IoU.wall-panel: 0.0764, IoU.wall-stone: 0.3234, IoU.wall-tile: 0.7263, IoU.wall-wood: 0.4342, IoU.water-other: 0.2165, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5315, IoU.window-other: 0.4941, IoU.wood: 0.2787, Acc.person: 0.9397, Acc.bicycle: 0.8686, Acc.car: 0.8471, Acc.motorcycle: 0.9139, Acc.airplane: 0.9140, Acc.bus: 0.9086, Acc.train: 0.9566, Acc.truck: 0.7906, Acc.boat: 0.8560, Acc.traffic light: 0.8918, Acc.fire hydrant: 0.9627, Acc.stop sign: 0.9798, Acc.parking meter: 0.8765, Acc.bench: 0.7652, Acc.bird: 0.9243, Acc.cat: 0.9143, Acc.dog: 0.8764, Acc.horse: 0.9464, Acc.sheep: 0.9590, Acc.cow: 0.9299, Acc.elephant: 0.9682, Acc.bear: 0.9624, Acc.zebra: 0.9602, Acc.giraffe: 0.9465, Acc.backpack: 0.7241, Acc.umbrella: 0.9245, Acc.handbag: 0.6895, Acc.tie: 0.2118, Acc.suitcase: 0.9436, Acc.frisbee: 0.9512, Acc.skis: 0.7636, Acc.snowboard: 0.8269, Acc.sports ball: 0.7968, Acc.kite: 0.8682, Acc.baseball bat: 0.8403, Acc.baseball glove: 0.9189, Acc.skateboard: 0.9151, Acc.surfboard: 0.9188, Acc.tennis racket: 0.9533, Acc.bottle: 0.6540, Acc.wine glass: 0.8604, Acc.cup: 0.7736, Acc.fork: 0.5368, Acc.knife: 0.5700, Acc.spoon: 0.4530, Acc.bowl: 0.6766, Acc.banana: 0.9124, Acc.apple: 0.7427, Acc.sandwich: 0.5969, Acc.orange: 0.8050, Acc.broccoli: 0.6261, Acc.carrot: 0.7114, Acc.hot dog: 0.6589, Acc.pizza: 0.8813, Acc.donut: 0.8587, Acc.cake: 0.8425, Acc.chair: 0.7399, Acc.couch: 0.8032, Acc.potted plant: 0.6205, Acc.bed: 0.8360, Acc.dining table: 0.8089, Acc.toilet: 0.9506, Acc.tv: 0.8568, Acc.laptop: 0.9311, Acc.mouse: 0.8979, Acc.remote: 0.7768, Acc.keyboard: 0.8274, Acc.cell phone: 0.8956, Acc.microwave: 0.8372, Acc.oven: 0.8516, Acc.toaster: 0.6951, Acc.sink: 0.8109, Acc.refrigerator: 0.9215, Acc.book: 0.7545, Acc.clock: 0.8318, Acc.vase: 0.8456, Acc.scissors: 0.9122, Acc.teddy bear: 0.9149, Acc.hair drier: 0.7937, Acc.toothbrush: 0.8412, Acc.banner: 0.6026, Acc.blanket: 0.0692, Acc.branch: 0.3218, Acc.bridge: 0.5993, Acc.building-other: 0.6988, Acc.bush: 0.4941, Acc.cabinet: 0.7610, Acc.cage: 0.2036, Acc.cardboard: 0.5743, Acc.carpet: 0.6647, Acc.ceiling-other: 0.8482, Acc.ceiling-tile: 0.0677, Acc.cloth: 0.0492, Acc.clothes: 0.3814, Acc.clouds: 0.6280, Acc.counter: 0.5743, Acc.cupboard: 0.0000, Acc.curtain: 0.8294, Acc.desk-stuff: 0.6521, Acc.dirt: 0.6211, Acc.door-stuff: 0.7235, Acc.fence: 0.5913, Acc.floor-marble: 0.1982, Acc.floor-other: 0.2936, Acc.floor-stone: 0.0988, Acc.floor-tile: 0.7257, Acc.floor-wood: 0.8011, Acc.flower: 0.5897, Acc.fog: 0.0646, Acc.food-other: 0.3668, Acc.fruit: 0.6507, Acc.furniture-other: 0.3061, Acc.grass: 0.8423, Acc.gravel: 0.4701, Acc.ground-other: 0.0282, Acc.hill: 0.2686, Acc.house: 0.3417, Acc.leaves: 0.3147, Acc.light: 0.6170, Acc.mat: 0.0004, Acc.metal: 0.5271, Acc.mirror-stuff: 0.7733, Acc.moss: 0.0000, Acc.mountain: 0.7078, Acc.mud: 0.0972, Acc.napkin: 0.1182, Acc.net: 0.6901, Acc.paper: 0.4096, Acc.pavement: 0.6901, Acc.pillow: 0.4047, Acc.plant-other: 0.4289, Acc.plastic: 0.3806, Acc.platform: 0.5197, Acc.playingfield: 0.9025, Acc.railing: 0.2134, Acc.railroad: 0.8163, Acc.river: 0.7226, Acc.road: 0.8544, Acc.rock: 0.6492, Acc.roof: 0.2668, Acc.rug: 0.5986, Acc.salad: 0.0021, Acc.sand: 0.7598, Acc.sea: 0.9023, Acc.shelf: 0.5201, Acc.sky-other: 0.8676, Acc.skyscraper: 0.4515, Acc.snow: 0.9572, Acc.solid-other: 0.0000, Acc.stairs: 0.5697, Acc.stone: 0.0588, Acc.straw: 0.4141, Acc.structural-other: 0.0191, Acc.table: 0.2015, Acc.tent: 0.1196, Acc.textile-other: 0.2875, Acc.towel: 0.4956, Acc.tree: 0.8507, Acc.vegetable: 0.5587, Acc.wall-brick: 0.7120, Acc.wall-concrete: 0.7973, Acc.wall-other: 0.3720, Acc.wall-panel: 0.0909, Acc.wall-stone: 0.4346, Acc.wall-tile: 0.8739, Acc.wall-wood: 0.6300, Acc.water-other: 0.3526, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6422, Acc.window-other: 0.7018, Acc.wood: 0.4278 2022-04-30 09:39:36,051 - mmseg - INFO - Iter [72050/80000] lr: 1.427e-07, eta: 4:07:06, time: 7.872, data_time: 6.015, memory: 64979, decode.loss_cls: 0.7598, decode.loss_mask: 0.7526, decode.loss_dice: 1.1822, decode.d0.loss_cls: 2.5071, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.3780, decode.d1.loss_cls: 0.8474, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.7926, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.2396, decode.d3.loss_cls: 0.7764, decode.d3.loss_mask: 0.7589, decode.d3.loss_dice: 1.2131, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.2102, decode.d5.loss_cls: 0.7686, decode.d5.loss_mask: 0.7573, decode.d5.loss_dice: 1.2034, decode.d6.loss_cls: 0.7538, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.1952, decode.d7.loss_cls: 0.7591, decode.d7.loss_mask: 0.7578, decode.d7.loss_dice: 1.1943, decode.d8.loss_cls: 0.7589, decode.d8.loss_mask: 0.7532, decode.d8.loss_dice: 1.1908, loss: 29.4122 2022-04-30 09:41:07,105 - mmseg - INFO - Iter [72100/80000] lr: 1.418e-07, eta: 4:05:32, time: 1.821, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7429, decode.loss_mask: 0.7424, decode.loss_dice: 1.1410, decode.d0.loss_cls: 2.4714, decode.d0.loss_mask: 0.7591, decode.d0.loss_dice: 1.3019, decode.d1.loss_cls: 0.8350, decode.d1.loss_mask: 0.7749, decode.d1.loss_dice: 1.2378, decode.d2.loss_cls: 0.7879, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.1843, decode.d3.loss_cls: 0.7706, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.1565, decode.d4.loss_cls: 0.7606, decode.d4.loss_mask: 0.7491, decode.d4.loss_dice: 1.1597, decode.d5.loss_cls: 0.7494, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.1553, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.7485, decode.d7.loss_mask: 0.7463, decode.d7.loss_dice: 1.1426, decode.d8.loss_cls: 0.7439, decode.d8.loss_mask: 0.7443, decode.d8.loss_dice: 1.1408, loss: 28.6530 2022-04-30 09:42:40,845 - mmseg - INFO - Iter [72150/80000] lr: 1.409e-07, eta: 4:03:59, time: 1.875, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7766, decode.loss_mask: 0.7644, decode.loss_dice: 1.1529, decode.d0.loss_cls: 2.5572, decode.d0.loss_mask: 0.7736, decode.d0.loss_dice: 1.3327, decode.d1.loss_cls: 0.8673, decode.d1.loss_mask: 0.7968, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.8119, decode.d2.loss_mask: 0.7814, decode.d2.loss_dice: 1.2091, decode.d3.loss_cls: 0.7951, decode.d3.loss_mask: 0.7728, decode.d3.loss_dice: 1.1810, decode.d4.loss_cls: 0.7864, decode.d4.loss_mask: 0.7731, decode.d4.loss_dice: 1.1801, decode.d5.loss_cls: 0.7822, decode.d5.loss_mask: 0.7716, decode.d5.loss_dice: 1.1703, decode.d6.loss_cls: 0.7891, decode.d6.loss_mask: 0.7641, decode.d6.loss_dice: 1.1534, decode.d7.loss_cls: 0.7812, decode.d7.loss_mask: 0.7635, decode.d7.loss_dice: 1.1571, decode.d8.loss_cls: 0.7786, decode.d8.loss_mask: 0.7614, decode.d8.loss_dice: 1.1550, loss: 29.4005 2022-04-30 09:44:15,822 - mmseg - INFO - Iter [72200/80000] lr: 1.400e-07, eta: 4:02:26, time: 1.899, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7937, decode.loss_mask: 0.7294, decode.loss_dice: 1.1618, decode.d0.loss_cls: 2.5934, decode.d0.loss_mask: 0.7586, decode.d0.loss_dice: 1.3554, decode.d1.loss_cls: 0.8973, decode.d1.loss_mask: 0.7677, decode.d1.loss_dice: 1.2647, decode.d2.loss_cls: 0.8249, decode.d2.loss_mask: 0.7506, decode.d2.loss_dice: 1.2175, decode.d3.loss_cls: 0.8181, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 0.8096, decode.d4.loss_mask: 0.7400, decode.d4.loss_dice: 1.1861, decode.d5.loss_cls: 0.8060, decode.d5.loss_mask: 0.7318, decode.d5.loss_dice: 1.1683, decode.d6.loss_cls: 0.7938, decode.d6.loss_mask: 0.7355, decode.d6.loss_dice: 1.1640, decode.d7.loss_cls: 0.7995, decode.d7.loss_mask: 0.7303, decode.d7.loss_dice: 1.1639, decode.d8.loss_cls: 0.7960, decode.d8.loss_mask: 0.7314, decode.d8.loss_dice: 1.1648, loss: 29.3796 2022-04-30 09:45:48,202 - mmseg - INFO - Iter [72250/80000] lr: 1.391e-07, eta: 4:00:53, time: 1.847, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7654, decode.loss_mask: 0.7756, decode.loss_dice: 1.1586, decode.d0.loss_cls: 2.5253, decode.d0.loss_mask: 0.8082, decode.d0.loss_dice: 1.3439, decode.d1.loss_cls: 0.8646, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.2728, decode.d2.loss_cls: 0.8104, decode.d2.loss_mask: 0.7983, decode.d2.loss_dice: 1.2051, decode.d3.loss_cls: 0.7899, decode.d3.loss_mask: 0.7878, decode.d3.loss_dice: 1.1800, decode.d4.loss_cls: 0.7868, decode.d4.loss_mask: 0.7858, decode.d4.loss_dice: 1.1830, decode.d5.loss_cls: 0.7764, decode.d5.loss_mask: 0.7870, decode.d5.loss_dice: 1.1747, decode.d6.loss_cls: 0.7673, decode.d6.loss_mask: 0.7851, decode.d6.loss_dice: 1.1660, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7787, decode.d7.loss_dice: 1.1610, decode.d8.loss_cls: 0.7632, decode.d8.loss_mask: 0.7801, decode.d8.loss_dice: 1.1593, loss: 29.5273 2022-04-30 09:47:21,080 - mmseg - INFO - Iter [72300/80000] lr: 1.382e-07, eta: 3:59:19, time: 1.856, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7646, decode.loss_mask: 0.7261, decode.loss_dice: 1.1527, decode.d0.loss_cls: 2.5298, decode.d0.loss_mask: 0.7460, decode.d0.loss_dice: 1.3335, decode.d1.loss_cls: 0.8665, decode.d1.loss_mask: 0.7549, decode.d1.loss_dice: 1.2579, decode.d2.loss_cls: 0.7985, decode.d2.loss_mask: 0.7425, decode.d2.loss_dice: 1.2063, decode.d3.loss_cls: 0.7869, decode.d3.loss_mask: 0.7351, decode.d3.loss_dice: 1.1768, decode.d4.loss_cls: 0.7748, decode.d4.loss_mask: 0.7327, decode.d4.loss_dice: 1.1732, decode.d5.loss_cls: 0.7796, decode.d5.loss_mask: 0.7247, decode.d5.loss_dice: 1.1676, decode.d6.loss_cls: 0.7724, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.7615, decode.d7.loss_mask: 0.7291, decode.d7.loss_dice: 1.1554, decode.d8.loss_cls: 0.7687, decode.d8.loss_mask: 0.7300, decode.d8.loss_dice: 1.1536, loss: 28.8845 2022-04-30 09:48:53,053 - mmseg - INFO - Iter [72350/80000] lr: 1.373e-07, eta: 3:57:46, time: 1.841, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7702, decode.loss_mask: 0.7127, decode.loss_dice: 1.1451, decode.d0.loss_cls: 2.5428, decode.d0.loss_mask: 0.7345, decode.d0.loss_dice: 1.3378, decode.d1.loss_cls: 0.8681, decode.d1.loss_mask: 0.7502, decode.d1.loss_dice: 1.2474, decode.d2.loss_cls: 0.8042, decode.d2.loss_mask: 0.7351, decode.d2.loss_dice: 1.1890, decode.d3.loss_cls: 0.7893, decode.d3.loss_mask: 0.7261, decode.d3.loss_dice: 1.1723, decode.d4.loss_cls: 0.7790, decode.d4.loss_mask: 0.7254, decode.d4.loss_dice: 1.1688, decode.d5.loss_cls: 0.7737, decode.d5.loss_mask: 0.7207, decode.d5.loss_dice: 1.1587, decode.d6.loss_cls: 0.7717, decode.d6.loss_mask: 0.7157, decode.d6.loss_dice: 1.1442, decode.d7.loss_cls: 0.7671, decode.d7.loss_mask: 0.7177, decode.d7.loss_dice: 1.1429, decode.d8.loss_cls: 0.7662, decode.d8.loss_mask: 0.7151, decode.d8.loss_dice: 1.1416, loss: 28.7331 2022-04-30 09:50:24,868 - mmseg - INFO - Iter [72400/80000] lr: 1.364e-07, eta: 3:56:13, time: 1.836, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7347, decode.loss_mask: 0.7402, decode.loss_dice: 1.1225, decode.d0.loss_cls: 2.4958, decode.d0.loss_mask: 0.7599, decode.d0.loss_dice: 1.2975, decode.d1.loss_cls: 0.8261, decode.d1.loss_mask: 0.7680, decode.d1.loss_dice: 1.2188, decode.d2.loss_cls: 0.7614, decode.d2.loss_mask: 0.7571, decode.d2.loss_dice: 1.1726, decode.d3.loss_cls: 0.7509, decode.d3.loss_mask: 0.7489, decode.d3.loss_dice: 1.1451, decode.d4.loss_cls: 0.7395, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.1393, decode.d5.loss_cls: 0.7344, decode.d5.loss_mask: 0.7454, decode.d5.loss_dice: 1.1339, decode.d6.loss_cls: 0.7333, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1261, decode.d7.loss_cls: 0.7353, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.1288, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7417, decode.d8.loss_dice: 1.1277, loss: 28.3500 2022-04-30 09:51:57,757 - mmseg - INFO - Iter [72450/80000] lr: 1.355e-07, eta: 3:54:39, time: 1.858, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7525, decode.loss_mask: 0.7716, decode.loss_dice: 1.1608, decode.d0.loss_cls: 2.5403, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.3238, decode.d1.loss_cls: 0.8507, decode.d1.loss_mask: 0.8090, decode.d1.loss_dice: 1.2601, decode.d2.loss_cls: 0.7946, decode.d2.loss_mask: 0.7853, decode.d2.loss_dice: 1.2040, decode.d3.loss_cls: 0.7734, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.1733, decode.d4.loss_cls: 0.7645, decode.d4.loss_mask: 0.7754, decode.d4.loss_dice: 1.1745, decode.d5.loss_cls: 0.7637, decode.d5.loss_mask: 0.7704, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.7555, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.1525, decode.d7.loss_cls: 0.7523, decode.d7.loss_mask: 0.7691, decode.d7.loss_dice: 1.1608, decode.d8.loss_cls: 0.7509, decode.d8.loss_mask: 0.7689, decode.d8.loss_dice: 1.1570, loss: 29.2116 2022-04-30 09:53:30,820 - mmseg - INFO - Iter [72500/80000] lr: 1.346e-07, eta: 3:53:06, time: 1.861, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7244, decode.loss_mask: 0.7393, decode.loss_dice: 1.1341, decode.d0.loss_cls: 2.4724, decode.d0.loss_mask: 0.7463, decode.d0.loss_dice: 1.3041, decode.d1.loss_cls: 0.8108, decode.d1.loss_mask: 0.7725, decode.d1.loss_dice: 1.2338, decode.d2.loss_cls: 0.7570, decode.d2.loss_mask: 0.7535, decode.d2.loss_dice: 1.1829, decode.d3.loss_cls: 0.7398, decode.d3.loss_mask: 0.7501, decode.d3.loss_dice: 1.1552, decode.d4.loss_cls: 0.7277, decode.d4.loss_mask: 0.7505, decode.d4.loss_dice: 1.1415, decode.d5.loss_cls: 0.7293, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.1420, decode.d6.loss_cls: 0.7278, decode.d6.loss_mask: 0.7448, decode.d6.loss_dice: 1.1299, decode.d7.loss_cls: 0.7172, decode.d7.loss_mask: 0.7425, decode.d7.loss_dice: 1.1398, decode.d8.loss_cls: 0.7199, decode.d8.loss_mask: 0.7408, decode.d8.loss_dice: 1.1325, loss: 28.3083 2022-04-30 09:55:04,579 - mmseg - INFO - Iter [72550/80000] lr: 1.337e-07, eta: 3:51:33, time: 1.875, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7392, decode.loss_mask: 0.7347, decode.loss_dice: 1.1294, decode.d0.loss_cls: 2.4935, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.3070, decode.d1.loss_cls: 0.8318, decode.d1.loss_mask: 0.7738, decode.d1.loss_dice: 1.2355, decode.d2.loss_cls: 0.7824, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.1893, decode.d3.loss_cls: 0.7681, decode.d3.loss_mask: 0.7403, decode.d3.loss_dice: 1.1574, decode.d4.loss_cls: 0.7553, decode.d4.loss_mask: 0.7453, decode.d4.loss_dice: 1.1583, decode.d5.loss_cls: 0.7513, decode.d5.loss_mask: 0.7382, decode.d5.loss_dice: 1.1437, decode.d6.loss_cls: 0.7459, decode.d6.loss_mask: 0.7366, decode.d6.loss_dice: 1.1346, decode.d7.loss_cls: 0.7426, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1423, decode.d8.loss_cls: 0.7464, decode.d8.loss_mask: 0.7333, decode.d8.loss_dice: 1.1311, loss: 28.5323 2022-04-30 09:56:36,345 - mmseg - INFO - Iter [72600/80000] lr: 1.328e-07, eta: 3:50:00, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7434, decode.loss_mask: 0.7186, decode.loss_dice: 1.1174, decode.d0.loss_cls: 2.5115, decode.d0.loss_mask: 0.7265, decode.d0.loss_dice: 1.2994, decode.d1.loss_cls: 0.8413, decode.d1.loss_mask: 0.7527, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 0.7877, decode.d2.loss_mask: 0.7370, decode.d2.loss_dice: 1.1732, decode.d3.loss_cls: 0.7651, decode.d3.loss_mask: 0.7275, decode.d3.loss_dice: 1.1440, decode.d4.loss_cls: 0.7665, decode.d4.loss_mask: 0.7235, decode.d4.loss_dice: 1.1401, decode.d5.loss_cls: 0.7469, decode.d5.loss_mask: 0.7256, decode.d5.loss_dice: 1.1434, decode.d6.loss_cls: 0.7487, decode.d6.loss_mask: 0.7177, decode.d6.loss_dice: 1.1244, decode.d7.loss_cls: 0.7445, decode.d7.loss_mask: 0.7197, decode.d7.loss_dice: 1.1261, decode.d8.loss_cls: 0.7452, decode.d8.loss_mask: 0.7158, decode.d8.loss_dice: 1.1211, loss: 28.2849 2022-04-30 09:58:09,675 - mmseg - INFO - Iter [72650/80000] lr: 1.319e-07, eta: 3:48:26, time: 1.869, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7618, decode.loss_mask: 0.7430, decode.loss_dice: 1.1483, decode.d0.loss_cls: 2.4922, decode.d0.loss_mask: 0.7695, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8594, decode.d1.loss_mask: 0.7795, decode.d1.loss_dice: 1.2488, decode.d2.loss_cls: 0.8003, decode.d2.loss_mask: 0.7615, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7797, decode.d3.loss_mask: 0.7565, decode.d3.loss_dice: 1.1701, decode.d4.loss_cls: 0.7728, decode.d4.loss_mask: 0.7531, decode.d4.loss_dice: 1.1639, decode.d5.loss_cls: 0.7701, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.1565, decode.d6.loss_cls: 0.7658, decode.d6.loss_mask: 0.7431, decode.d6.loss_dice: 1.1424, decode.d7.loss_cls: 0.7611, decode.d7.loss_mask: 0.7461, decode.d7.loss_dice: 1.1452, decode.d8.loss_cls: 0.7585, decode.d8.loss_mask: 0.7465, decode.d8.loss_dice: 1.1490, loss: 28.9159 2022-04-30 09:59:42,422 - mmseg - INFO - Iter [72700/80000] lr: 1.310e-07, eta: 3:46:53, time: 1.854, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7746, decode.loss_mask: 0.7447, decode.loss_dice: 1.1823, decode.d0.loss_cls: 2.5822, decode.d0.loss_mask: 0.7617, decode.d0.loss_dice: 1.3673, decode.d1.loss_cls: 0.8712, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.2907, decode.d2.loss_cls: 0.8150, decode.d2.loss_mask: 0.7616, decode.d2.loss_dice: 1.2337, decode.d3.loss_cls: 0.7993, decode.d3.loss_mask: 0.7557, decode.d3.loss_dice: 1.2109, decode.d4.loss_cls: 0.7891, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.2061, decode.d5.loss_cls: 0.7905, decode.d5.loss_mask: 0.7485, decode.d5.loss_dice: 1.1945, decode.d6.loss_cls: 0.7769, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.1903, decode.d7.loss_cls: 0.7786, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.7781, decode.d8.loss_mask: 0.7444, decode.d8.loss_dice: 1.1822, loss: 29.5422 2022-04-30 10:01:15,747 - mmseg - INFO - Iter [72750/80000] lr: 1.301e-07, eta: 3:45:20, time: 1.868, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7691, decode.loss_mask: 0.7540, decode.loss_dice: 1.1681, decode.d0.loss_cls: 2.5286, decode.d0.loss_mask: 0.7620, decode.d0.loss_dice: 1.3375, decode.d1.loss_cls: 0.8662, decode.d1.loss_mask: 0.7824, decode.d1.loss_dice: 1.2609, decode.d2.loss_cls: 0.8101, decode.d2.loss_mask: 0.7682, decode.d2.loss_dice: 1.2097, decode.d3.loss_cls: 0.7936, decode.d3.loss_mask: 0.7658, decode.d3.loss_dice: 1.1886, decode.d4.loss_cls: 0.7816, decode.d4.loss_mask: 0.7576, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7540, decode.d5.loss_dice: 1.1812, decode.d6.loss_cls: 0.7764, decode.d6.loss_mask: 0.7544, decode.d6.loss_dice: 1.1645, decode.d7.loss_cls: 0.7679, decode.d7.loss_mask: 0.7578, decode.d7.loss_dice: 1.1736, decode.d8.loss_cls: 0.7691, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1678, loss: 29.2801 2022-04-30 10:02:48,205 - mmseg - INFO - Iter [72800/80000] lr: 1.292e-07, eta: 3:43:46, time: 1.849, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7353, decode.loss_mask: 0.7339, decode.loss_dice: 1.1449, decode.d0.loss_cls: 2.4608, decode.d0.loss_mask: 0.7465, decode.d0.loss_dice: 1.3112, decode.d1.loss_cls: 0.8279, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.2476, decode.d2.loss_cls: 0.7728, decode.d2.loss_mask: 0.7510, decode.d2.loss_dice: 1.1888, decode.d3.loss_cls: 0.7598, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.1631, decode.d4.loss_cls: 0.7502, decode.d4.loss_mask: 0.7405, decode.d4.loss_dice: 1.1555, decode.d5.loss_cls: 0.7489, decode.d5.loss_mask: 0.7368, decode.d5.loss_dice: 1.1528, decode.d6.loss_cls: 0.7396, decode.d6.loss_mask: 0.7348, decode.d6.loss_dice: 1.1455, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7345, decode.d7.loss_dice: 1.1440, decode.d8.loss_cls: 0.7364, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.1398, loss: 28.4795 2022-04-30 10:04:21,652 - mmseg - INFO - Iter [72850/80000] lr: 1.283e-07, eta: 3:42:13, time: 1.869, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7517, decode.loss_mask: 0.7442, decode.loss_dice: 1.1437, decode.d0.loss_cls: 2.5184, decode.d0.loss_mask: 0.7589, decode.d0.loss_dice: 1.3169, decode.d1.loss_cls: 0.8495, decode.d1.loss_mask: 0.7784, decode.d1.loss_dice: 1.2471, decode.d2.loss_cls: 0.7916, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.2001, decode.d3.loss_cls: 0.7723, decode.d3.loss_mask: 0.7561, decode.d3.loss_dice: 1.1660, decode.d4.loss_cls: 0.7585, decode.d4.loss_mask: 0.7514, decode.d4.loss_dice: 1.1681, decode.d5.loss_cls: 0.7603, decode.d5.loss_mask: 0.7507, decode.d5.loss_dice: 1.1634, decode.d6.loss_cls: 0.7617, decode.d6.loss_mask: 0.7464, decode.d6.loss_dice: 1.1461, decode.d7.loss_cls: 0.7518, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.1494, decode.d8.loss_cls: 0.7531, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1481, loss: 28.8598 2022-04-30 10:05:54,427 - mmseg - INFO - Iter [72900/80000] lr: 1.274e-07, eta: 3:40:40, time: 1.856, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7654, decode.loss_mask: 0.7334, decode.loss_dice: 1.1685, decode.d0.loss_cls: 2.5664, decode.d0.loss_mask: 0.7477, decode.d0.loss_dice: 1.3543, decode.d1.loss_cls: 0.8755, decode.d1.loss_mask: 0.7636, decode.d1.loss_dice: 1.2686, decode.d2.loss_cls: 0.8030, decode.d2.loss_mask: 0.7505, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.7882, decode.d3.loss_mask: 0.7449, decode.d3.loss_dice: 1.1902, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7411, decode.d4.loss_dice: 1.1832, decode.d5.loss_cls: 0.7826, decode.d5.loss_mask: 0.7376, decode.d5.loss_dice: 1.1775, decode.d6.loss_cls: 0.7694, decode.d6.loss_mask: 0.7350, decode.d6.loss_dice: 1.1680, decode.d7.loss_cls: 0.7676, decode.d7.loss_mask: 0.7340, decode.d7.loss_dice: 1.1698, decode.d8.loss_cls: 0.7641, decode.d8.loss_mask: 0.7348, decode.d8.loss_dice: 1.1717, loss: 29.1588 2022-04-30 10:07:26,917 - mmseg - INFO - Iter [72950/80000] lr: 1.265e-07, eta: 3:39:07, time: 1.850, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7325, decode.loss_mask: 0.7612, decode.loss_dice: 1.1413, decode.d0.loss_cls: 2.4607, decode.d0.loss_mask: 0.7733, decode.d0.loss_dice: 1.3132, decode.d1.loss_cls: 0.8321, decode.d1.loss_mask: 0.7961, decode.d1.loss_dice: 1.2393, decode.d2.loss_cls: 0.7689, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.1914, decode.d3.loss_cls: 0.7535, decode.d3.loss_mask: 0.7761, decode.d3.loss_dice: 1.1604, decode.d4.loss_cls: 0.7463, decode.d4.loss_mask: 0.7664, decode.d4.loss_dice: 1.1575, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7624, decode.d5.loss_dice: 1.1536, decode.d6.loss_cls: 0.7384, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.1467, decode.d7.loss_cls: 0.7345, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.1479, decode.d8.loss_cls: 0.7319, decode.d8.loss_mask: 0.7633, decode.d8.loss_dice: 1.1441, loss: 28.7497 2022-04-30 10:09:00,181 - mmseg - INFO - Saving checkpoint at 73000 iterations 2022-04-30 10:09:19,163 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 10:09:19,167 - mmseg - INFO - Iter [73000/80000] lr: 1.257e-07, eta: 3:37:35, time: 2.243, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7576, decode.loss_mask: 0.7378, decode.loss_dice: 1.1523, decode.d0.loss_cls: 2.5094, decode.d0.loss_mask: 0.7492, decode.d0.loss_dice: 1.3261, decode.d1.loss_cls: 0.8533, decode.d1.loss_mask: 0.7690, decode.d1.loss_dice: 1.2540, decode.d2.loss_cls: 0.7914, decode.d2.loss_mask: 0.7552, decode.d2.loss_dice: 1.1981, decode.d3.loss_cls: 0.7749, decode.d3.loss_mask: 0.7436, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 0.7638, decode.d4.loss_mask: 0.7435, decode.d4.loss_dice: 1.1741, decode.d5.loss_cls: 0.7572, decode.d5.loss_mask: 0.7437, decode.d5.loss_dice: 1.1670, decode.d6.loss_cls: 0.7587, decode.d6.loss_mask: 0.7402, decode.d6.loss_dice: 1.1540, decode.d7.loss_cls: 0.7586, decode.d7.loss_mask: 0.7370, decode.d7.loss_dice: 1.1581, decode.d8.loss_cls: 0.7588, decode.d8.loss_mask: 0.7361, decode.d8.loss_dice: 1.1502, loss: 28.8463 2022-04-30 10:10:50,824 - mmseg - INFO - Iter [73050/80000] lr: 1.248e-07, eta: 3:36:02, time: 1.835, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7804, decode.loss_mask: 0.7558, decode.loss_dice: 1.1749, decode.d0.loss_cls: 2.5528, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.3521, decode.d1.loss_cls: 0.8719, decode.d1.loss_mask: 0.7911, decode.d1.loss_dice: 1.2760, decode.d2.loss_cls: 0.8137, decode.d2.loss_mask: 0.7717, decode.d2.loss_dice: 1.2187, decode.d3.loss_cls: 0.8006, decode.d3.loss_mask: 0.7714, decode.d3.loss_dice: 1.1988, decode.d4.loss_cls: 0.7952, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1976, decode.d5.loss_cls: 0.7903, decode.d5.loss_mask: 0.7589, decode.d5.loss_dice: 1.1902, decode.d6.loss_cls: 0.7916, decode.d6.loss_mask: 0.7562, decode.d6.loss_dice: 1.1759, decode.d7.loss_cls: 0.7841, decode.d7.loss_mask: 0.7540, decode.d7.loss_dice: 1.1751, decode.d8.loss_cls: 0.7863, decode.d8.loss_mask: 0.7528, decode.d8.loss_dice: 1.1707, loss: 29.5456 2022-04-30 10:12:23,558 - mmseg - INFO - Iter [73100/80000] lr: 1.239e-07, eta: 3:34:28, time: 1.855, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7696, decode.loss_mask: 0.7439, decode.loss_dice: 1.1521, decode.d0.loss_cls: 2.5201, decode.d0.loss_mask: 0.7645, decode.d0.loss_dice: 1.3264, decode.d1.loss_cls: 0.8690, decode.d1.loss_mask: 0.7685, decode.d1.loss_dice: 1.2452, decode.d2.loss_cls: 0.8071, decode.d2.loss_mask: 0.7596, decode.d2.loss_dice: 1.1942, decode.d3.loss_cls: 0.7941, decode.d3.loss_mask: 0.7472, decode.d3.loss_dice: 1.1666, decode.d4.loss_cls: 0.7860, decode.d4.loss_mask: 0.7454, decode.d4.loss_dice: 1.1601, decode.d5.loss_cls: 0.7828, decode.d5.loss_mask: 0.7404, decode.d5.loss_dice: 1.1626, decode.d6.loss_cls: 0.7779, decode.d6.loss_mask: 0.7404, decode.d6.loss_dice: 1.1478, decode.d7.loss_cls: 0.7743, decode.d7.loss_mask: 0.7441, decode.d7.loss_dice: 1.1525, decode.d8.loss_cls: 0.7774, decode.d8.loss_mask: 0.7437, decode.d8.loss_dice: 1.1488, loss: 29.0123 2022-04-30 10:13:54,709 - mmseg - INFO - Iter [73150/80000] lr: 1.230e-07, eta: 3:32:55, time: 1.823, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7687, decode.loss_mask: 0.7623, decode.loss_dice: 1.1749, decode.d0.loss_cls: 2.5585, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3549, decode.d1.loss_cls: 0.8630, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.2774, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.2258, decode.d3.loss_cls: 0.7969, decode.d3.loss_mask: 0.7672, decode.d3.loss_dice: 1.1946, decode.d4.loss_cls: 0.7859, decode.d4.loss_mask: 0.7647, decode.d4.loss_dice: 1.1863, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.1833, decode.d6.loss_cls: 0.7723, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.1749, decode.d7.loss_cls: 0.7721, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.1737, decode.d8.loss_cls: 0.7690, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.1757, loss: 29.4624 2022-04-30 10:15:25,638 - mmseg - INFO - Iter [73200/80000] lr: 1.221e-07, eta: 3:31:22, time: 1.817, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7823, decode.loss_mask: 0.7567, decode.loss_dice: 1.1986, decode.d0.loss_cls: 2.5339, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3705, decode.d1.loss_cls: 0.8796, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.3044, decode.d2.loss_cls: 0.8246, decode.d2.loss_mask: 0.7698, decode.d2.loss_dice: 1.2448, decode.d3.loss_cls: 0.8046, decode.d3.loss_mask: 0.7672, decode.d3.loss_dice: 1.2171, decode.d4.loss_cls: 0.7957, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.2123, decode.d5.loss_cls: 0.7923, decode.d5.loss_mask: 0.7620, decode.d5.loss_dice: 1.2046, decode.d6.loss_cls: 0.7869, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.1967, decode.d7.loss_cls: 0.7858, decode.d7.loss_mask: 0.7617, decode.d7.loss_dice: 1.1984, decode.d8.loss_cls: 0.7755, decode.d8.loss_mask: 0.7596, decode.d8.loss_dice: 1.1964, loss: 29.7683 2022-04-30 10:16:57,461 - mmseg - INFO - Iter [73250/80000] lr: 1.212e-07, eta: 3:29:48, time: 1.837, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7223, decode.loss_mask: 0.7590, decode.loss_dice: 1.1468, decode.d0.loss_cls: 2.5044, decode.d0.loss_mask: 0.7718, decode.d0.loss_dice: 1.2982, decode.d1.loss_cls: 0.8200, decode.d1.loss_mask: 0.7916, decode.d1.loss_dice: 1.2266, decode.d2.loss_cls: 0.7627, decode.d2.loss_mask: 0.7741, decode.d2.loss_dice: 1.1844, decode.d3.loss_cls: 0.7389, decode.d3.loss_mask: 0.7681, decode.d3.loss_dice: 1.1604, decode.d4.loss_cls: 0.7351, decode.d4.loss_mask: 0.7647, decode.d4.loss_dice: 1.1626, decode.d5.loss_cls: 0.7277, decode.d5.loss_mask: 0.7628, decode.d5.loss_dice: 1.1541, decode.d6.loss_cls: 0.7246, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1481, decode.d7.loss_cls: 0.7221, decode.d7.loss_mask: 0.7589, decode.d7.loss_dice: 1.1421, decode.d8.loss_cls: 0.7192, decode.d8.loss_mask: 0.7639, decode.d8.loss_dice: 1.1499, loss: 28.6262 2022-04-30 10:18:29,824 - mmseg - INFO - Iter [73300/80000] lr: 1.203e-07, eta: 3:28:15, time: 1.849, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7588, decode.loss_mask: 0.7552, decode.loss_dice: 1.1555, decode.d0.loss_cls: 2.4952, decode.d0.loss_mask: 0.7706, decode.d0.loss_dice: 1.3161, decode.d1.loss_cls: 0.8649, decode.d1.loss_mask: 0.7864, decode.d1.loss_dice: 1.2509, decode.d2.loss_cls: 0.7945, decode.d2.loss_mask: 0.7724, decode.d2.loss_dice: 1.1916, decode.d3.loss_cls: 0.7819, decode.d3.loss_mask: 0.7645, decode.d3.loss_dice: 1.1685, decode.d4.loss_cls: 0.7770, decode.d4.loss_mask: 0.7621, decode.d4.loss_dice: 1.1598, decode.d5.loss_cls: 0.7732, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.1601, decode.d6.loss_cls: 0.7661, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1555, decode.d7.loss_cls: 0.7590, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.1473, decode.d8.loss_cls: 0.7624, decode.d8.loss_mask: 0.7521, decode.d8.loss_dice: 1.1485, loss: 29.0281 2022-04-30 10:20:03,245 - mmseg - INFO - Iter [73350/80000] lr: 1.194e-07, eta: 3:26:42, time: 1.868, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7346, decode.loss_mask: 0.7527, decode.loss_dice: 1.1596, decode.d0.loss_cls: 2.4828, decode.d0.loss_mask: 0.7629, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8328, decode.d1.loss_mask: 0.7839, decode.d1.loss_dice: 1.2510, decode.d2.loss_cls: 0.7754, decode.d2.loss_mask: 0.7685, decode.d2.loss_dice: 1.2032, decode.d3.loss_cls: 0.7635, decode.d3.loss_mask: 0.7551, decode.d3.loss_dice: 1.1761, decode.d4.loss_cls: 0.7520, decode.d4.loss_mask: 0.7561, decode.d4.loss_dice: 1.1740, decode.d5.loss_cls: 0.7491, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.1696, decode.d6.loss_cls: 0.7444, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1581, decode.d7.loss_cls: 0.7432, decode.d7.loss_mask: 0.7533, decode.d7.loss_dice: 1.1579, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7522, decode.d8.loss_dice: 1.1580, loss: 28.8334 2022-04-30 10:21:34,573 - mmseg - INFO - Iter [73400/80000] lr: 1.185e-07, eta: 3:25:08, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7811, decode.loss_mask: 0.7547, decode.loss_dice: 1.1922, decode.d0.loss_cls: 2.5878, decode.d0.loss_mask: 0.7692, decode.d0.loss_dice: 1.3720, decode.d1.loss_cls: 0.8707, decode.d1.loss_mask: 0.7949, decode.d1.loss_dice: 1.2955, decode.d2.loss_cls: 0.8206, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.2385, decode.d3.loss_cls: 0.7962, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.2174, decode.d4.loss_cls: 0.7903, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.2090, decode.d5.loss_cls: 0.7891, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.2015, decode.d6.loss_cls: 0.7835, decode.d6.loss_mask: 0.7563, decode.d6.loss_dice: 1.1959, decode.d7.loss_cls: 0.7762, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.2005, decode.d8.loss_cls: 0.7834, decode.d8.loss_mask: 0.7575, decode.d8.loss_dice: 1.1926, loss: 29.7346 2022-04-30 10:23:08,322 - mmseg - INFO - Iter [73450/80000] lr: 1.176e-07, eta: 3:23:35, time: 1.877, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7626, decode.loss_mask: 0.7565, decode.loss_dice: 1.1458, decode.d0.loss_cls: 2.4925, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.3159, decode.d1.loss_cls: 0.8568, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.2431, decode.d2.loss_cls: 0.7968, decode.d2.loss_mask: 0.7767, decode.d2.loss_dice: 1.1954, decode.d3.loss_cls: 0.7844, decode.d3.loss_mask: 0.7658, decode.d3.loss_dice: 1.1676, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7651, decode.d4.loss_dice: 1.1720, decode.d5.loss_cls: 0.7716, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.1621, decode.d6.loss_cls: 0.7665, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.1537, decode.d7.loss_cls: 0.7660, decode.d7.loss_mask: 0.7567, decode.d7.loss_dice: 1.1506, decode.d8.loss_cls: 0.7588, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.1526, loss: 29.0417 2022-04-30 10:24:41,410 - mmseg - INFO - Iter [73500/80000] lr: 1.167e-07, eta: 3:22:02, time: 1.862, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7465, decode.loss_mask: 0.7399, decode.loss_dice: 1.1411, decode.d0.loss_cls: 2.4925, decode.d0.loss_mask: 0.7587, decode.d0.loss_dice: 1.2966, decode.d1.loss_cls: 0.8303, decode.d1.loss_mask: 0.7784, decode.d1.loss_dice: 1.2345, decode.d2.loss_cls: 0.7866, decode.d2.loss_mask: 0.7606, decode.d2.loss_dice: 1.1823, decode.d3.loss_cls: 0.7677, decode.d3.loss_mask: 0.7502, decode.d3.loss_dice: 1.1598, decode.d4.loss_cls: 0.7671, decode.d4.loss_mask: 0.7451, decode.d4.loss_dice: 1.1522, decode.d5.loss_cls: 0.7550, decode.d5.loss_mask: 0.7423, decode.d5.loss_dice: 1.1534, decode.d6.loss_cls: 0.7529, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.1419, decode.d7.loss_cls: 0.7494, decode.d7.loss_mask: 0.7387, decode.d7.loss_dice: 1.1430, decode.d8.loss_cls: 0.7500, decode.d8.loss_mask: 0.7358, decode.d8.loss_dice: 1.1355, loss: 28.6304 2022-04-30 10:26:14,771 - mmseg - INFO - Iter [73550/80000] lr: 1.158e-07, eta: 3:20:28, time: 1.867, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7447, decode.loss_mask: 0.7484, decode.loss_dice: 1.1621, decode.d0.loss_cls: 2.5193, decode.d0.loss_mask: 0.7606, decode.d0.loss_dice: 1.3283, decode.d1.loss_cls: 0.8290, decode.d1.loss_mask: 0.7815, decode.d1.loss_dice: 1.2642, decode.d2.loss_cls: 0.7842, decode.d2.loss_mask: 0.7620, decode.d2.loss_dice: 1.2168, decode.d3.loss_cls: 0.7694, decode.d3.loss_mask: 0.7578, decode.d3.loss_dice: 1.1873, decode.d4.loss_cls: 0.7556, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.1884, decode.d5.loss_cls: 0.7545, decode.d5.loss_mask: 0.7553, decode.d5.loss_dice: 1.1849, decode.d6.loss_cls: 0.7481, decode.d6.loss_mask: 0.7534, decode.d6.loss_dice: 1.1684, decode.d7.loss_cls: 0.7479, decode.d7.loss_mask: 0.7502, decode.d7.loss_dice: 1.1718, decode.d8.loss_cls: 0.7453, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.1660, loss: 29.0160 2022-04-30 10:27:46,080 - mmseg - INFO - Iter [73600/80000] lr: 1.149e-07, eta: 3:18:55, time: 1.824, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7626, decode.loss_mask: 0.7316, decode.loss_dice: 1.1374, decode.d0.loss_cls: 2.5278, decode.d0.loss_mask: 0.7574, decode.d0.loss_dice: 1.3273, decode.d1.loss_cls: 0.8651, decode.d1.loss_mask: 0.7665, decode.d1.loss_dice: 1.2356, decode.d2.loss_cls: 0.7908, decode.d2.loss_mask: 0.7529, decode.d2.loss_dice: 1.1896, decode.d3.loss_cls: 0.7776, decode.d3.loss_mask: 0.7387, decode.d3.loss_dice: 1.1606, decode.d4.loss_cls: 0.7696, decode.d4.loss_mask: 0.7371, decode.d4.loss_dice: 1.1555, decode.d5.loss_cls: 0.7653, decode.d5.loss_mask: 0.7366, decode.d5.loss_dice: 1.1534, decode.d6.loss_cls: 0.7612, decode.d6.loss_mask: 0.7359, decode.d6.loss_dice: 1.1475, decode.d7.loss_cls: 0.7542, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.1383, decode.d8.loss_cls: 0.7547, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.1407, loss: 28.7429 2022-04-30 10:29:19,336 - mmseg - INFO - Iter [73650/80000] lr: 1.140e-07, eta: 3:17:22, time: 1.865, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7609, decode.loss_mask: 0.7459, decode.loss_dice: 1.1452, decode.d0.loss_cls: 2.5113, decode.d0.loss_mask: 0.7648, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 0.8362, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2425, decode.d2.loss_cls: 0.8021, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.1869, decode.d3.loss_cls: 0.7847, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.1629, decode.d4.loss_cls: 0.7717, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.1700, decode.d5.loss_cls: 0.7706, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.1585, decode.d6.loss_cls: 0.7646, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.7627, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.1545, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7451, decode.d8.loss_dice: 1.1490, loss: 28.9257 2022-04-30 10:30:51,740 - mmseg - INFO - Iter [73700/80000] lr: 1.131e-07, eta: 3:15:49, time: 1.849, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7580, decode.loss_mask: 0.7446, decode.loss_dice: 1.1721, decode.d0.loss_cls: 2.5243, decode.d0.loss_mask: 0.7744, decode.d0.loss_dice: 1.3548, decode.d1.loss_cls: 0.8593, decode.d1.loss_mask: 0.7843, decode.d1.loss_dice: 1.2755, decode.d2.loss_cls: 0.7884, decode.d2.loss_mask: 0.7713, decode.d2.loss_dice: 1.2273, decode.d3.loss_cls: 0.7794, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.1944, decode.d4.loss_cls: 0.7733, decode.d4.loss_mask: 0.7568, decode.d4.loss_dice: 1.1882, decode.d5.loss_cls: 0.7693, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.1870, decode.d6.loss_cls: 0.7627, decode.d6.loss_mask: 0.7487, decode.d6.loss_dice: 1.1769, decode.d7.loss_cls: 0.7602, decode.d7.loss_mask: 0.7455, decode.d7.loss_dice: 1.1789, decode.d8.loss_cls: 0.7629, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1749, loss: 29.2514 2022-04-30 10:32:23,463 - mmseg - INFO - Iter [73750/80000] lr: 1.122e-07, eta: 3:14:15, time: 1.835, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7569, decode.loss_mask: 0.7443, decode.loss_dice: 1.1436, decode.d0.loss_cls: 2.5235, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.3080, decode.d1.loss_cls: 0.8427, decode.d1.loss_mask: 0.7733, decode.d1.loss_dice: 1.2277, decode.d2.loss_cls: 0.7892, decode.d2.loss_mask: 0.7674, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 0.7754, decode.d3.loss_mask: 0.7495, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.7698, decode.d4.loss_mask: 0.7498, decode.d4.loss_dice: 1.1574, decode.d5.loss_cls: 0.7649, decode.d5.loss_mask: 0.7468, decode.d5.loss_dice: 1.1482, decode.d6.loss_cls: 0.7659, decode.d6.loss_mask: 0.7430, decode.d6.loss_dice: 1.1450, decode.d7.loss_cls: 0.7575, decode.d7.loss_mask: 0.7445, decode.d7.loss_dice: 1.1444, decode.d8.loss_cls: 0.7604, decode.d8.loss_mask: 0.7421, decode.d8.loss_dice: 1.1392, loss: 28.7845 2022-04-30 10:33:54,919 - mmseg - INFO - Iter [73800/80000] lr: 1.113e-07, eta: 3:12:42, time: 1.828, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7463, decode.loss_mask: 0.7610, decode.loss_dice: 1.1659, decode.d0.loss_cls: 2.4927, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3446, decode.d1.loss_cls: 0.8508, decode.d1.loss_mask: 0.7963, decode.d1.loss_dice: 1.2577, decode.d2.loss_cls: 0.7793, decode.d2.loss_mask: 0.7807, decode.d2.loss_dice: 1.2077, decode.d3.loss_cls: 0.7723, decode.d3.loss_mask: 0.7791, decode.d3.loss_dice: 1.1871, decode.d4.loss_cls: 0.7618, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.1858, decode.d5.loss_cls: 0.7607, decode.d5.loss_mask: 0.7648, decode.d5.loss_dice: 1.1735, decode.d6.loss_cls: 0.7506, decode.d6.loss_mask: 0.7630, decode.d6.loss_dice: 1.1670, decode.d7.loss_cls: 0.7509, decode.d7.loss_mask: 0.7617, decode.d7.loss_dice: 1.1675, decode.d8.loss_cls: 0.7449, decode.d8.loss_mask: 0.7642, decode.d8.loss_dice: 1.1663, loss: 29.1555 2022-04-30 10:35:27,919 - mmseg - INFO - Iter [73850/80000] lr: 1.104e-07, eta: 3:11:08, time: 1.862, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7356, decode.loss_mask: 0.7290, decode.loss_dice: 1.1307, decode.d0.loss_cls: 2.5346, decode.d0.loss_mask: 0.7424, decode.d0.loss_dice: 1.3022, decode.d1.loss_cls: 0.8251, decode.d1.loss_mask: 0.7634, decode.d1.loss_dice: 1.2299, decode.d2.loss_cls: 0.7706, decode.d2.loss_mask: 0.7481, decode.d2.loss_dice: 1.1797, decode.d3.loss_cls: 0.7555, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.1499, decode.d4.loss_cls: 0.7501, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1559, decode.d5.loss_cls: 0.7433, decode.d5.loss_mask: 0.7332, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.7383, decode.d6.loss_mask: 0.7296, decode.d6.loss_dice: 1.1291, decode.d7.loss_cls: 0.7326, decode.d7.loss_mask: 0.7313, decode.d7.loss_dice: 1.1369, decode.d8.loss_cls: 0.7394, decode.d8.loss_mask: 0.7302, decode.d8.loss_dice: 1.1323, loss: 28.3885 2022-04-30 10:36:58,846 - mmseg - INFO - Iter [73900/80000] lr: 1.095e-07, eta: 3:09:35, time: 1.818, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7866, decode.loss_mask: 0.7424, decode.loss_dice: 1.1721, decode.d0.loss_cls: 2.5186, decode.d0.loss_mask: 0.7693, decode.d0.loss_dice: 1.3552, decode.d1.loss_cls: 0.8759, decode.d1.loss_mask: 0.7825, decode.d1.loss_dice: 1.2712, decode.d2.loss_cls: 0.8161, decode.d2.loss_mask: 0.7600, decode.d2.loss_dice: 1.2149, decode.d3.loss_cls: 0.8014, decode.d3.loss_mask: 0.7548, decode.d3.loss_dice: 1.1927, decode.d4.loss_cls: 0.7943, decode.d4.loss_mask: 0.7520, decode.d4.loss_dice: 1.1940, decode.d5.loss_cls: 0.7880, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.1850, decode.d6.loss_cls: 0.7863, decode.d6.loss_mask: 0.7470, decode.d6.loss_dice: 1.1735, decode.d7.loss_cls: 0.7801, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1768, decode.d8.loss_cls: 0.7776, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1720, loss: 29.3852 2022-04-30 10:38:36,526 - mmseg - INFO - Iter [73950/80000] lr: 1.086e-07, eta: 3:08:02, time: 1.954, data_time: 0.065, memory: 64979, decode.loss_cls: 0.7299, decode.loss_mask: 0.7350, decode.loss_dice: 1.1484, decode.d0.loss_cls: 2.4722, decode.d0.loss_mask: 0.7602, decode.d0.loss_dice: 1.3140, decode.d1.loss_cls: 0.8139, decode.d1.loss_mask: 0.7793, decode.d1.loss_dice: 1.2497, decode.d2.loss_cls: 0.7626, decode.d2.loss_mask: 0.7624, decode.d2.loss_dice: 1.2029, decode.d3.loss_cls: 0.7514, decode.d3.loss_mask: 0.7494, decode.d3.loss_dice: 1.1700, decode.d4.loss_cls: 0.7403, decode.d4.loss_mask: 0.7457, decode.d4.loss_dice: 1.1718, decode.d5.loss_cls: 0.7423, decode.d5.loss_mask: 0.7426, decode.d5.loss_dice: 1.1573, decode.d6.loss_cls: 0.7408, decode.d6.loss_mask: 0.7385, decode.d6.loss_dice: 1.1556, decode.d7.loss_cls: 0.7300, decode.d7.loss_mask: 0.7441, decode.d7.loss_dice: 1.1505, decode.d8.loss_cls: 0.7288, decode.d8.loss_mask: 0.7398, decode.d8.loss_dice: 1.1501, loss: 28.5792 2022-04-30 10:40:09,912 - mmseg - INFO - Saving checkpoint at 74000 iterations 2022-04-30 10:40:32,940 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 10:40:32,953 - mmseg - INFO - Iter [74000/80000] lr: 1.077e-07, eta: 3:06:31, time: 2.327, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7738, decode.loss_mask: 0.7372, decode.loss_dice: 1.1395, decode.d0.loss_cls: 2.5368, decode.d0.loss_mask: 0.7549, decode.d0.loss_dice: 1.3131, decode.d1.loss_cls: 0.8540, decode.d1.loss_mask: 0.7707, decode.d1.loss_dice: 1.2326, decode.d2.loss_cls: 0.7981, decode.d2.loss_mask: 0.7556, decode.d2.loss_dice: 1.1844, decode.d3.loss_cls: 0.7891, decode.d3.loss_mask: 0.7465, decode.d3.loss_dice: 1.1629, decode.d4.loss_cls: 0.7825, decode.d4.loss_mask: 0.7430, decode.d4.loss_dice: 1.1535, decode.d5.loss_cls: 0.7842, decode.d5.loss_mask: 0.7367, decode.d5.loss_dice: 1.1449, decode.d6.loss_cls: 0.7808, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.7694, decode.d7.loss_mask: 0.7360, decode.d7.loss_dice: 1.1396, decode.d8.loss_cls: 0.7712, decode.d8.loss_mask: 0.7355, decode.d8.loss_dice: 1.1375, loss: 28.8428 2022-04-30 10:42:06,821 - mmseg - INFO - Iter [74050/80000] lr: 1.068e-07, eta: 3:04:58, time: 1.879, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7412, decode.loss_mask: 0.7246, decode.loss_dice: 1.1232, decode.d0.loss_cls: 2.5603, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.2979, decode.d1.loss_cls: 0.8334, decode.d1.loss_mask: 0.7687, decode.d1.loss_dice: 1.2261, decode.d2.loss_cls: 0.7786, decode.d2.loss_mask: 0.7461, decode.d2.loss_dice: 1.1645, decode.d3.loss_cls: 0.7666, decode.d3.loss_mask: 0.7352, decode.d3.loss_dice: 1.1375, decode.d4.loss_cls: 0.7565, decode.d4.loss_mask: 0.7322, decode.d4.loss_dice: 1.1362, decode.d5.loss_cls: 0.7492, decode.d5.loss_mask: 0.7307, decode.d5.loss_dice: 1.1247, decode.d6.loss_cls: 0.7431, decode.d6.loss_mask: 0.7237, decode.d6.loss_dice: 1.1148, decode.d7.loss_cls: 0.7437, decode.d7.loss_mask: 0.7253, decode.d7.loss_dice: 1.1159, decode.d8.loss_cls: 0.7389, decode.d8.loss_mask: 0.7265, decode.d8.loss_dice: 1.1163, loss: 28.3311 2022-04-30 10:43:40,150 - mmseg - INFO - Iter [74100/80000] lr: 1.059e-07, eta: 3:03:24, time: 1.866, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7153, decode.loss_mask: 0.7400, decode.loss_dice: 1.1228, decode.d0.loss_cls: 2.4947, decode.d0.loss_mask: 0.7524, decode.d0.loss_dice: 1.2965, decode.d1.loss_cls: 0.8014, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.2226, decode.d2.loss_cls: 0.7455, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1697, decode.d3.loss_cls: 0.7308, decode.d3.loss_mask: 0.7462, decode.d3.loss_dice: 1.1397, decode.d4.loss_cls: 0.7219, decode.d4.loss_mask: 0.7485, decode.d4.loss_dice: 1.1433, decode.d5.loss_cls: 0.7218, decode.d5.loss_mask: 0.7447, decode.d5.loss_dice: 1.1305, decode.d6.loss_cls: 0.7166, decode.d6.loss_mask: 0.7380, decode.d6.loss_dice: 1.1219, decode.d7.loss_cls: 0.7139, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.1265, decode.d8.loss_cls: 0.7103, decode.d8.loss_mask: 0.7387, decode.d8.loss_dice: 1.1276, loss: 28.1483 2022-04-30 10:45:12,788 - mmseg - INFO - Iter [74150/80000] lr: 1.050e-07, eta: 3:01:51, time: 1.853, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7713, decode.loss_mask: 0.7611, decode.loss_dice: 1.1731, decode.d0.loss_cls: 2.5310, decode.d0.loss_mask: 0.7809, decode.d0.loss_dice: 1.3562, decode.d1.loss_cls: 0.8665, decode.d1.loss_mask: 0.7959, decode.d1.loss_dice: 1.2830, decode.d2.loss_cls: 0.8085, decode.d2.loss_mask: 0.7822, decode.d2.loss_dice: 1.2213, decode.d3.loss_cls: 0.7897, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.2004, decode.d4.loss_cls: 0.7799, decode.d4.loss_mask: 0.7715, decode.d4.loss_dice: 1.1996, decode.d5.loss_cls: 0.7812, decode.d5.loss_mask: 0.7645, decode.d5.loss_dice: 1.1850, decode.d6.loss_cls: 0.7750, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.1836, decode.d7.loss_cls: 0.7705, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.1771, decode.d8.loss_cls: 0.7750, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.1775, loss: 29.5292 2022-04-30 10:46:46,253 - mmseg - INFO - Iter [74200/80000] lr: 1.041e-07, eta: 3:00:18, time: 1.869, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7443, decode.loss_mask: 0.7323, decode.loss_dice: 1.1293, decode.d0.loss_cls: 2.5151, decode.d0.loss_mask: 0.7526, decode.d0.loss_dice: 1.2969, decode.d1.loss_cls: 0.8418, decode.d1.loss_mask: 0.7625, decode.d1.loss_dice: 1.2284, decode.d2.loss_cls: 0.7901, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.1744, decode.d3.loss_cls: 0.7669, decode.d3.loss_mask: 0.7452, decode.d3.loss_dice: 1.1499, decode.d4.loss_cls: 0.7521, decode.d4.loss_mask: 0.7441, decode.d4.loss_dice: 1.1466, decode.d5.loss_cls: 0.7550, decode.d5.loss_mask: 0.7387, decode.d5.loss_dice: 1.1365, decode.d6.loss_cls: 0.7501, decode.d6.loss_mask: 0.7313, decode.d6.loss_dice: 1.1272, decode.d7.loss_cls: 0.7467, decode.d7.loss_mask: 0.7336, decode.d7.loss_dice: 1.1279, decode.d8.loss_cls: 0.7475, decode.d8.loss_mask: 0.7316, decode.d8.loss_dice: 1.1245, loss: 28.4719 2022-04-30 10:48:18,869 - mmseg - INFO - Iter [74250/80000] lr: 1.032e-07, eta: 2:58:44, time: 1.852, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7751, decode.loss_mask: 0.7159, decode.loss_dice: 1.1520, decode.d0.loss_cls: 2.5433, decode.d0.loss_mask: 0.7400, decode.d0.loss_dice: 1.3346, decode.d1.loss_cls: 0.8699, decode.d1.loss_mask: 0.7581, decode.d1.loss_dice: 1.2606, decode.d2.loss_cls: 0.8013, decode.d2.loss_mask: 0.7408, decode.d2.loss_dice: 1.2084, decode.d3.loss_cls: 0.7933, decode.d3.loss_mask: 0.7297, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 0.7814, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.1775, decode.d5.loss_cls: 0.7827, decode.d5.loss_mask: 0.7225, decode.d5.loss_dice: 1.1655, decode.d6.loss_cls: 0.7677, decode.d6.loss_mask: 0.7236, decode.d6.loss_dice: 1.1587, decode.d7.loss_cls: 0.7716, decode.d7.loss_mask: 0.7202, decode.d7.loss_dice: 1.1538, decode.d8.loss_cls: 0.7721, decode.d8.loss_mask: 0.7207, decode.d8.loss_dice: 1.1554, loss: 28.8970 2022-04-30 10:49:53,575 - mmseg - INFO - Iter [74300/80000] lr: 1.023e-07, eta: 2:57:11, time: 1.892, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7239, decode.loss_mask: 0.7560, decode.loss_dice: 1.1247, decode.d0.loss_cls: 2.4234, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.2839, decode.d1.loss_cls: 0.8003, decode.d1.loss_mask: 0.7897, decode.d1.loss_dice: 1.2208, decode.d2.loss_cls: 0.7496, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.1787, decode.d3.loss_cls: 0.7378, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.1547, decode.d4.loss_cls: 0.7291, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1534, decode.d5.loss_cls: 0.7295, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1405, decode.d6.loss_cls: 0.7224, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.1297, decode.d7.loss_cls: 0.7207, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1301, decode.d8.loss_cls: 0.7215, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1256, loss: 28.3452 2022-04-30 10:51:25,990 - mmseg - INFO - Iter [74350/80000] lr: 1.014e-07, eta: 2:55:38, time: 1.850, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7402, decode.loss_mask: 0.7200, decode.loss_dice: 1.1212, decode.d0.loss_cls: 2.4709, decode.d0.loss_mask: 0.7424, decode.d0.loss_dice: 1.3037, decode.d1.loss_cls: 0.8317, decode.d1.loss_mask: 0.7534, decode.d1.loss_dice: 1.2219, decode.d2.loss_cls: 0.7774, decode.d2.loss_mask: 0.7405, decode.d2.loss_dice: 1.1736, decode.d3.loss_cls: 0.7681, decode.d3.loss_mask: 0.7291, decode.d3.loss_dice: 1.1426, decode.d4.loss_cls: 0.7498, decode.d4.loss_mask: 0.7300, decode.d4.loss_dice: 1.1413, decode.d5.loss_cls: 0.7459, decode.d5.loss_mask: 0.7270, decode.d5.loss_dice: 1.1370, decode.d6.loss_cls: 0.7395, decode.d6.loss_mask: 0.7225, decode.d6.loss_dice: 1.1278, decode.d7.loss_cls: 0.7418, decode.d7.loss_mask: 0.7188, decode.d7.loss_dice: 1.1252, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7202, decode.d8.loss_dice: 1.1231, loss: 28.2236 2022-04-30 10:52:58,064 - mmseg - INFO - Iter [74400/80000] lr: 1.005e-07, eta: 2:54:05, time: 1.841, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7738, decode.loss_mask: 0.7263, decode.loss_dice: 1.1570, decode.d0.loss_cls: 2.5549, decode.d0.loss_mask: 0.7471, decode.d0.loss_dice: 1.3353, decode.d1.loss_cls: 0.8567, decode.d1.loss_mask: 0.7672, decode.d1.loss_dice: 1.2674, decode.d2.loss_cls: 0.8000, decode.d2.loss_mask: 0.7480, decode.d2.loss_dice: 1.2164, decode.d3.loss_cls: 0.7883, decode.d3.loss_mask: 0.7322, decode.d3.loss_dice: 1.1827, decode.d4.loss_cls: 0.7799, decode.d4.loss_mask: 0.7303, decode.d4.loss_dice: 1.1805, decode.d5.loss_cls: 0.7714, decode.d5.loss_mask: 0.7302, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7670, decode.d6.loss_mask: 0.7293, decode.d6.loss_dice: 1.1678, decode.d7.loss_cls: 0.7681, decode.d7.loss_mask: 0.7275, decode.d7.loss_dice: 1.1659, decode.d8.loss_cls: 0.7663, decode.d8.loss_mask: 0.7273, decode.d8.loss_dice: 1.1688, loss: 29.0086 2022-04-30 10:54:30,576 - mmseg - INFO - Iter [74450/80000] lr: 9.963e-08, eta: 2:52:31, time: 1.851, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7445, decode.loss_mask: 0.7457, decode.loss_dice: 1.1623, decode.d0.loss_cls: 2.5157, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.3272, decode.d1.loss_cls: 0.8391, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.2602, decode.d2.loss_cls: 0.7820, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.2117, decode.d3.loss_cls: 0.7715, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.1774, decode.d4.loss_cls: 0.7621, decode.d4.loss_mask: 0.7494, decode.d4.loss_dice: 1.1795, decode.d5.loss_cls: 0.7601, decode.d5.loss_mask: 0.7481, decode.d5.loss_dice: 1.1714, decode.d6.loss_cls: 0.7520, decode.d6.loss_mask: 0.7477, decode.d6.loss_dice: 1.1638, decode.d7.loss_cls: 0.7523, decode.d7.loss_mask: 0.7422, decode.d7.loss_dice: 1.1622, decode.d8.loss_cls: 0.7508, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.1603, loss: 28.9408 2022-04-30 10:56:01,281 - mmseg - INFO - Iter [74500/80000] lr: 9.873e-08, eta: 2:50:58, time: 1.814, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7771, decode.loss_mask: 0.7513, decode.loss_dice: 1.1566, decode.d0.loss_cls: 2.5490, decode.d0.loss_mask: 0.7649, decode.d0.loss_dice: 1.3410, decode.d1.loss_cls: 0.8648, decode.d1.loss_mask: 0.7912, decode.d1.loss_dice: 1.2696, decode.d2.loss_cls: 0.8160, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.2114, decode.d3.loss_cls: 0.7973, decode.d3.loss_mask: 0.7605, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 0.7882, decode.d4.loss_mask: 0.7563, decode.d4.loss_dice: 1.1804, decode.d5.loss_cls: 0.7830, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1729, decode.d6.loss_cls: 0.7783, decode.d6.loss_mask: 0.7551, decode.d6.loss_dice: 1.1629, decode.d7.loss_cls: 0.7750, decode.d7.loss_mask: 0.7544, decode.d7.loss_dice: 1.1567, decode.d8.loss_cls: 0.7763, decode.d8.loss_mask: 0.7546, decode.d8.loss_dice: 1.1622, loss: 29.3227 2022-04-30 10:57:33,982 - mmseg - INFO - Iter [74550/80000] lr: 9.783e-08, eta: 2:49:25, time: 1.854, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7359, decode.loss_mask: 0.7312, decode.loss_dice: 1.1368, decode.d0.loss_cls: 2.5009, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.3106, decode.d1.loss_cls: 0.8167, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.2293, decode.d2.loss_cls: 0.7720, decode.d2.loss_mask: 0.7512, decode.d2.loss_dice: 1.1842, decode.d3.loss_cls: 0.7540, decode.d3.loss_mask: 0.7394, decode.d3.loss_dice: 1.1598, decode.d4.loss_cls: 0.7456, decode.d4.loss_mask: 0.7357, decode.d4.loss_dice: 1.1520, decode.d5.loss_cls: 0.7442, decode.d5.loss_mask: 0.7351, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.7325, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.1374, decode.d7.loss_cls: 0.7277, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.1423, decode.d8.loss_cls: 0.7359, decode.d8.loss_mask: 0.7291, decode.d8.loss_dice: 1.1405, loss: 28.4066 2022-04-30 10:59:07,893 - mmseg - INFO - Iter [74600/80000] lr: 9.693e-08, eta: 2:47:51, time: 1.878, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7040, decode.loss_mask: 0.7476, decode.loss_dice: 1.1284, decode.d0.loss_cls: 2.4351, decode.d0.loss_mask: 0.7584, decode.d0.loss_dice: 1.2972, decode.d1.loss_cls: 0.8035, decode.d1.loss_mask: 0.7748, decode.d1.loss_dice: 1.2344, decode.d2.loss_cls: 0.7488, decode.d2.loss_mask: 0.7598, decode.d2.loss_dice: 1.1718, decode.d3.loss_cls: 0.7263, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.1485, decode.d4.loss_cls: 0.7200, decode.d4.loss_mask: 0.7531, decode.d4.loss_dice: 1.1448, decode.d5.loss_cls: 0.7122, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.1301, decode.d6.loss_cls: 0.7055, decode.d6.loss_mask: 0.7519, decode.d6.loss_dice: 1.1329, decode.d7.loss_cls: 0.7081, decode.d7.loss_mask: 0.7474, decode.d7.loss_dice: 1.1308, decode.d8.loss_cls: 0.7057, decode.d8.loss_mask: 0.7453, decode.d8.loss_dice: 1.1283, loss: 28.1619 2022-04-30 11:00:41,411 - mmseg - INFO - Iter [74650/80000] lr: 9.604e-08, eta: 2:46:18, time: 1.871, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7556, decode.loss_mask: 0.7397, decode.loss_dice: 1.1427, decode.d0.loss_cls: 2.5115, decode.d0.loss_mask: 0.7532, decode.d0.loss_dice: 1.3207, decode.d1.loss_cls: 0.8451, decode.d1.loss_mask: 0.7729, decode.d1.loss_dice: 1.2428, decode.d2.loss_cls: 0.7966, decode.d2.loss_mask: 0.7545, decode.d2.loss_dice: 1.1867, decode.d3.loss_cls: 0.7775, decode.d3.loss_mask: 0.7507, decode.d3.loss_dice: 1.1631, decode.d4.loss_cls: 0.7653, decode.d4.loss_mask: 0.7521, decode.d4.loss_dice: 1.1619, decode.d5.loss_cls: 0.7644, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.1557, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.1473, decode.d7.loss_cls: 0.7602, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1497, decode.d8.loss_cls: 0.7600, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.1464, loss: 28.8061 2022-04-30 11:02:13,209 - mmseg - INFO - Iter [74700/80000] lr: 9.514e-08, eta: 2:44:45, time: 1.835, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7592, decode.loss_mask: 0.7598, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.4805, decode.d0.loss_mask: 0.7882, decode.d0.loss_dice: 1.3442, decode.d1.loss_cls: 0.8526, decode.d1.loss_mask: 0.8027, decode.d1.loss_dice: 1.2648, decode.d2.loss_cls: 0.7937, decode.d2.loss_mask: 0.7881, decode.d2.loss_dice: 1.2144, decode.d3.loss_cls: 0.7769, decode.d3.loss_mask: 0.7805, decode.d3.loss_dice: 1.1824, decode.d4.loss_cls: 0.7696, decode.d4.loss_mask: 0.7819, decode.d4.loss_dice: 1.1766, decode.d5.loss_cls: 0.7650, decode.d5.loss_mask: 0.7708, decode.d5.loss_dice: 1.1673, decode.d6.loss_cls: 0.7609, decode.d6.loss_mask: 0.7666, decode.d6.loss_dice: 1.1611, decode.d7.loss_cls: 0.7603, decode.d7.loss_mask: 0.7618, decode.d7.loss_dice: 1.1592, decode.d8.loss_cls: 0.7615, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.1593, loss: 29.2317 2022-04-30 11:03:44,708 - mmseg - INFO - Iter [74750/80000] lr: 9.424e-08, eta: 2:43:11, time: 1.831, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7722, decode.loss_mask: 0.7367, decode.loss_dice: 1.1525, decode.d0.loss_cls: 2.5252, decode.d0.loss_mask: 0.7640, decode.d0.loss_dice: 1.3279, decode.d1.loss_cls: 0.8561, decode.d1.loss_mask: 0.7696, decode.d1.loss_dice: 1.2480, decode.d2.loss_cls: 0.7972, decode.d2.loss_mask: 0.7536, decode.d2.loss_dice: 1.2023, decode.d3.loss_cls: 0.7869, decode.d3.loss_mask: 0.7504, decode.d3.loss_dice: 1.1806, decode.d4.loss_cls: 0.7850, decode.d4.loss_mask: 0.7446, decode.d4.loss_dice: 1.1709, decode.d5.loss_cls: 0.7777, decode.d5.loss_mask: 0.7423, decode.d5.loss_dice: 1.1655, decode.d6.loss_cls: 0.7717, decode.d6.loss_mask: 0.7410, decode.d6.loss_dice: 1.1595, decode.d7.loss_cls: 0.7721, decode.d7.loss_mask: 0.7388, decode.d7.loss_dice: 1.1582, decode.d8.loss_cls: 0.7714, decode.d8.loss_mask: 0.7370, decode.d8.loss_dice: 1.1532, loss: 29.0121 2022-04-30 11:05:17,732 - mmseg - INFO - Iter [74800/80000] lr: 9.334e-08, eta: 2:41:38, time: 1.860, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7775, decode.loss_mask: 0.7316, decode.loss_dice: 1.1507, decode.d0.loss_cls: 2.5411, decode.d0.loss_mask: 0.7490, decode.d0.loss_dice: 1.3345, decode.d1.loss_cls: 0.8613, decode.d1.loss_mask: 0.7661, decode.d1.loss_dice: 1.2578, decode.d2.loss_cls: 0.8095, decode.d2.loss_mask: 0.7487, decode.d2.loss_dice: 1.2078, decode.d3.loss_cls: 0.7990, decode.d3.loss_mask: 0.7404, decode.d3.loss_dice: 1.1812, decode.d4.loss_cls: 0.7858, decode.d4.loss_mask: 0.7375, decode.d4.loss_dice: 1.1771, decode.d5.loss_cls: 0.7818, decode.d5.loss_mask: 0.7350, decode.d5.loss_dice: 1.1669, decode.d6.loss_cls: 0.7798, decode.d6.loss_mask: 0.7332, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 0.7751, decode.d7.loss_mask: 0.7331, decode.d7.loss_dice: 1.1564, decode.d8.loss_cls: 0.7749, decode.d8.loss_mask: 0.7321, decode.d8.loss_dice: 1.1521, loss: 29.0356 2022-04-30 11:06:50,477 - mmseg - INFO - Iter [74850/80000] lr: 9.245e-08, eta: 2:40:05, time: 1.855, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7384, decode.loss_mask: 0.7511, decode.loss_dice: 1.1146, decode.d0.loss_cls: 2.5167, decode.d0.loss_mask: 0.7656, decode.d0.loss_dice: 1.2863, decode.d1.loss_cls: 0.8257, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2096, decode.d2.loss_cls: 0.7718, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.1641, decode.d3.loss_cls: 0.7647, decode.d3.loss_mask: 0.7554, decode.d3.loss_dice: 1.1371, decode.d4.loss_cls: 0.7493, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.1380, decode.d5.loss_cls: 0.7520, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1317, decode.d6.loss_cls: 0.7443, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.1191, decode.d7.loss_cls: 0.7393, decode.d7.loss_mask: 0.7536, decode.d7.loss_dice: 1.1187, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7516, decode.d8.loss_dice: 1.1147, loss: 28.4643 2022-04-30 11:08:24,137 - mmseg - INFO - Iter [74900/80000] lr: 9.155e-08, eta: 2:38:32, time: 1.873, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7440, decode.loss_mask: 0.7281, decode.loss_dice: 1.1294, decode.d0.loss_cls: 2.5080, decode.d0.loss_mask: 0.7509, decode.d0.loss_dice: 1.3228, decode.d1.loss_cls: 0.8409, decode.d1.loss_mask: 0.7679, decode.d1.loss_dice: 1.2426, decode.d2.loss_cls: 0.7850, decode.d2.loss_mask: 0.7526, decode.d2.loss_dice: 1.1900, decode.d3.loss_cls: 0.7667, decode.d3.loss_mask: 0.7359, decode.d3.loss_dice: 1.1618, decode.d4.loss_cls: 0.7531, decode.d4.loss_mask: 0.7362, decode.d4.loss_dice: 1.1547, decode.d5.loss_cls: 0.7477, decode.d5.loss_mask: 0.7352, decode.d5.loss_dice: 1.1528, decode.d6.loss_cls: 0.7444, decode.d6.loss_mask: 0.7305, decode.d6.loss_dice: 1.1455, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7280, decode.d7.loss_dice: 1.1362, decode.d8.loss_cls: 0.7412, decode.d8.loss_mask: 0.7292, decode.d8.loss_dice: 1.1357, loss: 28.5393 2022-04-30 11:09:57,130 - mmseg - INFO - Iter [74950/80000] lr: 9.065e-08, eta: 2:36:58, time: 1.860, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7761, decode.loss_mask: 0.7402, decode.loss_dice: 1.1594, decode.d0.loss_cls: 2.5260, decode.d0.loss_mask: 0.7595, decode.d0.loss_dice: 1.3394, decode.d1.loss_cls: 0.8624, decode.d1.loss_mask: 0.7787, decode.d1.loss_dice: 1.2668, decode.d2.loss_cls: 0.8069, decode.d2.loss_mask: 0.7571, decode.d2.loss_dice: 1.2058, decode.d3.loss_cls: 0.7922, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.1825, decode.d4.loss_cls: 0.7810, decode.d4.loss_mask: 0.7516, decode.d4.loss_dice: 1.1861, decode.d5.loss_cls: 0.7861, decode.d5.loss_mask: 0.7428, decode.d5.loss_dice: 1.1722, decode.d6.loss_cls: 0.7779, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1686, decode.d7.loss_cls: 0.7666, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1663, decode.d8.loss_cls: 0.7677, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.1622, loss: 29.1571 2022-04-30 11:11:31,016 - mmseg - INFO - Saving checkpoint at 75000 iterations 2022-04-30 11:12:01,440 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 11:12:01,451 - mmseg - INFO - Iter [75000/80000] lr: 8.976e-08, eta: 2:35:27, time: 2.482, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7629, decode.loss_mask: 0.7349, decode.loss_dice: 1.1553, decode.d0.loss_cls: 2.5316, decode.d0.loss_mask: 0.7500, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 0.8642, decode.d1.loss_mask: 0.7638, decode.d1.loss_dice: 1.2589, decode.d2.loss_cls: 0.8027, decode.d2.loss_mask: 0.7527, decode.d2.loss_dice: 1.1996, decode.d3.loss_cls: 0.7933, decode.d3.loss_mask: 0.7437, decode.d3.loss_dice: 1.1699, decode.d4.loss_cls: 0.7804, decode.d4.loss_mask: 0.7449, decode.d4.loss_dice: 1.1733, decode.d5.loss_cls: 0.7775, decode.d5.loss_mask: 0.7360, decode.d5.loss_dice: 1.1647, decode.d6.loss_cls: 0.7685, decode.d6.loss_mask: 0.7396, decode.d6.loss_dice: 1.1590, decode.d7.loss_cls: 0.7680, decode.d7.loss_mask: 0.7374, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7353, decode.d8.loss_dice: 1.1502, loss: 28.9772 2022-04-30 11:13:34,835 - mmseg - INFO - Iter [75050/80000] lr: 8.886e-08, eta: 2:33:54, time: 1.871, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7122, decode.loss_mask: 0.7358, decode.loss_dice: 1.1205, decode.d0.loss_cls: 2.4562, decode.d0.loss_mask: 0.7654, decode.d0.loss_dice: 1.3039, decode.d1.loss_cls: 0.8045, decode.d1.loss_mask: 0.7753, decode.d1.loss_dice: 1.2128, decode.d2.loss_cls: 0.7476, decode.d2.loss_mask: 0.7566, decode.d2.loss_dice: 1.1667, decode.d3.loss_cls: 0.7301, decode.d3.loss_mask: 0.7479, decode.d3.loss_dice: 1.1419, decode.d4.loss_cls: 0.7240, decode.d4.loss_mask: 0.7432, decode.d4.loss_dice: 1.1384, decode.d5.loss_cls: 0.7219, decode.d5.loss_mask: 0.7416, decode.d5.loss_dice: 1.1279, decode.d6.loss_cls: 0.7138, decode.d6.loss_mask: 0.7382, decode.d6.loss_dice: 1.1266, decode.d7.loss_cls: 0.7112, decode.d7.loss_mask: 0.7359, decode.d7.loss_dice: 1.1231, decode.d8.loss_cls: 0.7144, decode.d8.loss_mask: 0.7369, decode.d8.loss_dice: 1.1234, loss: 28.0978 2022-04-30 11:15:09,778 - mmseg - INFO - Iter [75100/80000] lr: 8.796e-08, eta: 2:32:21, time: 1.899, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7519, decode.loss_mask: 0.7278, decode.loss_dice: 1.1234, decode.d0.loss_cls: 2.5623, decode.d0.loss_mask: 0.7481, decode.d0.loss_dice: 1.3121, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.7615, decode.d1.loss_dice: 1.2290, decode.d2.loss_cls: 0.8025, decode.d2.loss_mask: 0.7374, decode.d2.loss_dice: 1.1688, decode.d3.loss_cls: 0.7839, decode.d3.loss_mask: 0.7278, decode.d3.loss_dice: 1.1413, decode.d4.loss_cls: 0.7718, decode.d4.loss_mask: 0.7303, decode.d4.loss_dice: 1.1435, decode.d5.loss_cls: 0.7702, decode.d5.loss_mask: 0.7236, decode.d5.loss_dice: 1.1331, decode.d6.loss_cls: 0.7659, decode.d6.loss_mask: 0.7176, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7548, decode.d7.loss_mask: 0.7225, decode.d7.loss_dice: 1.1288, decode.d8.loss_cls: 0.7539, decode.d8.loss_mask: 0.7238, decode.d8.loss_dice: 1.1251, loss: 28.5319 2022-04-30 11:16:41,395 - mmseg - INFO - Iter [75150/80000] lr: 8.706e-08, eta: 2:30:47, time: 1.832, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7628, decode.loss_mask: 0.7228, decode.loss_dice: 1.1550, decode.d0.loss_cls: 2.5411, decode.d0.loss_mask: 0.7371, decode.d0.loss_dice: 1.3384, decode.d1.loss_cls: 0.8601, decode.d1.loss_mask: 0.7525, decode.d1.loss_dice: 1.2532, decode.d2.loss_cls: 0.8025, decode.d2.loss_mask: 0.7356, decode.d2.loss_dice: 1.1949, decode.d3.loss_cls: 0.7844, decode.d3.loss_mask: 0.7324, decode.d3.loss_dice: 1.1770, decode.d4.loss_cls: 0.7699, decode.d4.loss_mask: 0.7314, decode.d4.loss_dice: 1.1751, decode.d5.loss_cls: 0.7704, decode.d5.loss_mask: 0.7277, decode.d5.loss_dice: 1.1641, decode.d6.loss_cls: 0.7613, decode.d6.loss_mask: 0.7243, decode.d6.loss_dice: 1.1566, decode.d7.loss_cls: 0.7592, decode.d7.loss_mask: 0.7215, decode.d7.loss_dice: 1.1595, decode.d8.loss_cls: 0.7609, decode.d8.loss_mask: 0.7225, decode.d8.loss_dice: 1.1567, loss: 28.8108 2022-04-30 11:18:14,444 - mmseg - INFO - Iter [75200/80000] lr: 8.617e-08, eta: 2:29:14, time: 1.861, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7718, decode.loss_mask: 0.7302, decode.loss_dice: 1.1328, decode.d0.loss_cls: 2.5206, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.3260, decode.d1.loss_cls: 0.8598, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.2431, decode.d2.loss_cls: 0.7964, decode.d2.loss_mask: 0.7561, decode.d2.loss_dice: 1.1925, decode.d3.loss_cls: 0.7863, decode.d3.loss_mask: 0.7434, decode.d3.loss_dice: 1.1612, decode.d4.loss_cls: 0.7795, decode.d4.loss_mask: 0.7424, decode.d4.loss_dice: 1.1550, decode.d5.loss_cls: 0.7748, decode.d5.loss_mask: 0.7396, decode.d5.loss_dice: 1.1496, decode.d6.loss_cls: 0.7765, decode.d6.loss_mask: 0.7327, decode.d6.loss_dice: 1.1365, decode.d7.loss_cls: 0.7694, decode.d7.loss_mask: 0.7327, decode.d7.loss_dice: 1.1405, decode.d8.loss_cls: 0.7676, decode.d8.loss_mask: 0.7325, decode.d8.loss_dice: 1.1432, loss: 28.8150 2022-04-30 11:19:46,470 - mmseg - INFO - Iter [75250/80000] lr: 8.527e-08, eta: 2:27:41, time: 1.840, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7152, decode.loss_mask: 0.7505, decode.loss_dice: 1.0977, decode.d0.loss_cls: 2.4228, decode.d0.loss_mask: 0.7721, decode.d0.loss_dice: 1.2721, decode.d1.loss_cls: 0.7929, decode.d1.loss_mask: 0.7859, decode.d1.loss_dice: 1.2054, decode.d2.loss_cls: 0.7430, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.1479, decode.d3.loss_cls: 0.7269, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1186, decode.d4.loss_cls: 0.7208, decode.d4.loss_mask: 0.7629, decode.d4.loss_dice: 1.1192, decode.d5.loss_cls: 0.7194, decode.d5.loss_mask: 0.7577, decode.d5.loss_dice: 1.1061, decode.d6.loss_cls: 0.7111, decode.d6.loss_mask: 0.7506, decode.d6.loss_dice: 1.1015, decode.d7.loss_cls: 0.7143, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1044, decode.d8.loss_cls: 0.7095, decode.d8.loss_mask: 0.7503, decode.d8.loss_dice: 1.0991, loss: 27.9558 2022-04-30 11:21:18,895 - mmseg - INFO - Iter [75300/80000] lr: 8.437e-08, eta: 2:26:07, time: 1.849, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7435, decode.loss_mask: 0.7269, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.4875, decode.d0.loss_mask: 0.7432, decode.d0.loss_dice: 1.3250, decode.d1.loss_cls: 0.8399, decode.d1.loss_mask: 0.7499, decode.d1.loss_dice: 1.2568, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7406, decode.d2.loss_dice: 1.2152, decode.d3.loss_cls: 0.7689, decode.d3.loss_mask: 0.7312, decode.d3.loss_dice: 1.1784, decode.d4.loss_cls: 0.7553, decode.d4.loss_mask: 0.7266, decode.d4.loss_dice: 1.1808, decode.d5.loss_cls: 0.7498, decode.d5.loss_mask: 0.7250, decode.d5.loss_dice: 1.1708, decode.d6.loss_cls: 0.7426, decode.d6.loss_mask: 0.7241, decode.d6.loss_dice: 1.1652, decode.d7.loss_cls: 0.7432, decode.d7.loss_mask: 0.7218, decode.d7.loss_dice: 1.1654, decode.d8.loss_cls: 0.7401, decode.d8.loss_mask: 0.7234, decode.d8.loss_dice: 1.1636, loss: 28.6458 2022-04-30 11:22:50,841 - mmseg - INFO - Iter [75350/80000] lr: 8.347e-08, eta: 2:24:34, time: 1.839, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7269, decode.loss_mask: 0.7393, decode.loss_dice: 1.1360, decode.d0.loss_cls: 2.5069, decode.d0.loss_mask: 0.7543, decode.d0.loss_dice: 1.3069, decode.d1.loss_cls: 0.8048, decode.d1.loss_mask: 0.7801, decode.d1.loss_dice: 1.2394, decode.d2.loss_cls: 0.7554, decode.d2.loss_mask: 0.7655, decode.d2.loss_dice: 1.1860, decode.d3.loss_cls: 0.7413, decode.d3.loss_mask: 0.7538, decode.d3.loss_dice: 1.1603, decode.d4.loss_cls: 0.7349, decode.d4.loss_mask: 0.7453, decode.d4.loss_dice: 1.1522, decode.d5.loss_cls: 0.7298, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.1450, decode.d6.loss_cls: 0.7239, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1385, decode.d7.loss_cls: 0.7251, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1366, decode.d8.loss_cls: 0.7214, decode.d8.loss_mask: 0.7436, decode.d8.loss_dice: 1.1325, loss: 28.4206 2022-04-30 11:24:22,421 - mmseg - INFO - Iter [75400/80000] lr: 8.258e-08, eta: 2:23:01, time: 1.829, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7247, decode.loss_mask: 0.7394, decode.loss_dice: 1.1605, decode.d0.loss_cls: 2.5106, decode.d0.loss_mask: 0.7533, decode.d0.loss_dice: 1.3156, decode.d1.loss_cls: 0.8226, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.7718, decode.d2.loss_mask: 0.7612, decode.d2.loss_dice: 1.1981, decode.d3.loss_cls: 0.7510, decode.d3.loss_mask: 0.7489, decode.d3.loss_dice: 1.1748, decode.d4.loss_cls: 0.7407, decode.d4.loss_mask: 0.7471, decode.d4.loss_dice: 1.1730, decode.d5.loss_cls: 0.7383, decode.d5.loss_mask: 0.7468, decode.d5.loss_dice: 1.1679, decode.d6.loss_cls: 0.7358, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1581, decode.d7.loss_cls: 0.7333, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.1582, decode.d8.loss_cls: 0.7299, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1617, loss: 28.6770 2022-04-30 11:25:53,366 - mmseg - INFO - Iter [75450/80000] lr: 8.168e-08, eta: 2:21:27, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7209, decode.loss_mask: 0.7482, decode.loss_dice: 1.1353, decode.d0.loss_cls: 2.4667, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.3019, decode.d1.loss_cls: 0.8188, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2346, decode.d2.loss_cls: 0.7510, decode.d2.loss_mask: 0.7678, decode.d2.loss_dice: 1.1764, decode.d3.loss_cls: 0.7437, decode.d3.loss_mask: 0.7579, decode.d3.loss_dice: 1.1509, decode.d4.loss_cls: 0.7349, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.1537, decode.d5.loss_cls: 0.7318, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1428, decode.d6.loss_cls: 0.7211, decode.d6.loss_mask: 0.7489, decode.d6.loss_dice: 1.1372, decode.d7.loss_cls: 0.7144, decode.d7.loss_mask: 0.7530, decode.d7.loss_dice: 1.1406, decode.d8.loss_cls: 0.7194, decode.d8.loss_mask: 0.7503, decode.d8.loss_dice: 1.1397, loss: 28.4351 2022-04-30 11:27:25,575 - mmseg - INFO - Iter [75500/80000] lr: 8.078e-08, eta: 2:19:54, time: 1.844, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7426, decode.loss_mask: 0.7556, decode.loss_dice: 1.1410, decode.d0.loss_cls: 2.4979, decode.d0.loss_mask: 0.7801, decode.d0.loss_dice: 1.3113, decode.d1.loss_cls: 0.8426, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.2360, decode.d2.loss_cls: 0.7709, decode.d2.loss_mask: 0.7785, decode.d2.loss_dice: 1.1958, decode.d3.loss_cls: 0.7633, decode.d3.loss_mask: 0.7696, decode.d3.loss_dice: 1.1602, decode.d4.loss_cls: 0.7522, decode.d4.loss_mask: 0.7628, decode.d4.loss_dice: 1.1600, decode.d5.loss_cls: 0.7493, decode.d5.loss_mask: 0.7596, decode.d5.loss_dice: 1.1532, decode.d6.loss_cls: 0.7397, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.1501, decode.d7.loss_cls: 0.7424, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1458, decode.d8.loss_cls: 0.7412, decode.d8.loss_mask: 0.7594, decode.d8.loss_dice: 1.1432, loss: 28.8145 2022-04-30 11:28:58,374 - mmseg - INFO - Iter [75550/80000] lr: 7.988e-08, eta: 2:18:21, time: 1.856, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7714, decode.loss_mask: 0.7468, decode.loss_dice: 1.1600, decode.d0.loss_cls: 2.5649, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.3441, decode.d1.loss_cls: 0.8622, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2676, decode.d2.loss_cls: 0.8022, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.2148, decode.d3.loss_cls: 0.7840, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.1869, decode.d4.loss_cls: 0.7785, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.7726, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1766, decode.d6.loss_cls: 0.7676, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.1630, decode.d7.loss_cls: 0.7690, decode.d7.loss_mask: 0.7475, decode.d7.loss_dice: 1.1640, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7471, decode.d8.loss_dice: 1.1660, loss: 29.2224 2022-04-30 11:30:30,252 - mmseg - INFO - Iter [75600/80000] lr: 7.899e-08, eta: 2:16:47, time: 1.837, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7375, decode.loss_mask: 0.7415, decode.loss_dice: 1.1587, decode.d0.loss_cls: 2.5029, decode.d0.loss_mask: 0.7611, decode.d0.loss_dice: 1.3206, decode.d1.loss_cls: 0.8379, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2507, decode.d2.loss_cls: 0.7751, decode.d2.loss_mask: 0.7633, decode.d2.loss_dice: 1.2014, decode.d3.loss_cls: 0.7619, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.1780, decode.d4.loss_cls: 0.7471, decode.d4.loss_mask: 0.7503, decode.d4.loss_dice: 1.1734, decode.d5.loss_cls: 0.7425, decode.d5.loss_mask: 0.7471, decode.d5.loss_dice: 1.1702, decode.d6.loss_cls: 0.7455, decode.d6.loss_mask: 0.7449, decode.d6.loss_dice: 1.1571, decode.d7.loss_cls: 0.7393, decode.d7.loss_mask: 0.7450, decode.d7.loss_dice: 1.1582, decode.d8.loss_cls: 0.7371, decode.d8.loss_mask: 0.7436, decode.d8.loss_dice: 1.1550, loss: 28.7813 2022-04-30 11:32:01,091 - mmseg - INFO - Iter [75650/80000] lr: 7.809e-08, eta: 2:15:14, time: 1.818, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7276, decode.loss_mask: 0.7406, decode.loss_dice: 1.1299, decode.d0.loss_cls: 2.4444, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.2940, decode.d1.loss_cls: 0.8208, decode.d1.loss_mask: 0.7757, decode.d1.loss_dice: 1.2285, decode.d2.loss_cls: 0.7601, decode.d2.loss_mask: 0.7608, decode.d2.loss_dice: 1.1757, decode.d3.loss_cls: 0.7477, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1464, decode.d4.loss_cls: 0.7430, decode.d4.loss_mask: 0.7444, decode.d4.loss_dice: 1.1421, decode.d5.loss_cls: 0.7353, decode.d5.loss_mask: 0.7465, decode.d5.loss_dice: 1.1399, decode.d6.loss_cls: 0.7298, decode.d6.loss_mask: 0.7456, decode.d6.loss_dice: 1.1260, decode.d7.loss_cls: 0.7275, decode.d7.loss_mask: 0.7457, decode.d7.loss_dice: 1.1297, decode.d8.loss_cls: 0.7278, decode.d8.loss_mask: 0.7420, decode.d8.loss_dice: 1.1235, loss: 28.3224 2022-04-30 11:33:32,203 - mmseg - INFO - Iter [75700/80000] lr: 7.719e-08, eta: 2:13:40, time: 1.822, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7664, decode.loss_mask: 0.7516, decode.loss_dice: 1.1904, decode.d0.loss_cls: 2.5551, decode.d0.loss_mask: 0.7698, decode.d0.loss_dice: 1.3649, decode.d1.loss_cls: 0.8607, decode.d1.loss_mask: 0.7849, decode.d1.loss_dice: 1.2914, decode.d2.loss_cls: 0.8094, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.2384, decode.d3.loss_cls: 0.7904, decode.d3.loss_mask: 0.7596, decode.d3.loss_dice: 1.2095, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7607, decode.d4.loss_dice: 1.2118, decode.d5.loss_cls: 0.7789, decode.d5.loss_mask: 0.7584, decode.d5.loss_dice: 1.2069, decode.d6.loss_cls: 0.7765, decode.d6.loss_mask: 0.7535, decode.d6.loss_dice: 1.1935, decode.d7.loss_cls: 0.7754, decode.d7.loss_mask: 0.7512, decode.d7.loss_dice: 1.1891, decode.d8.loss_cls: 0.7707, decode.d8.loss_mask: 0.7509, decode.d8.loss_dice: 1.1927, loss: 29.5652 2022-04-30 11:35:02,957 - mmseg - INFO - Iter [75750/80000] lr: 7.629e-08, eta: 2:12:07, time: 1.815, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7666, decode.loss_mask: 0.7435, decode.loss_dice: 1.1688, decode.d0.loss_cls: 2.5444, decode.d0.loss_mask: 0.7629, decode.d0.loss_dice: 1.3499, decode.d1.loss_cls: 0.8670, decode.d1.loss_mask: 0.7683, decode.d1.loss_dice: 1.2632, decode.d2.loss_cls: 0.8107, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.2192, decode.d3.loss_cls: 0.7946, decode.d3.loss_mask: 0.7464, decode.d3.loss_dice: 1.1869, decode.d4.loss_cls: 0.7808, decode.d4.loss_mask: 0.7467, decode.d4.loss_dice: 1.1869, decode.d5.loss_cls: 0.7828, decode.d5.loss_mask: 0.7444, decode.d5.loss_dice: 1.1770, decode.d6.loss_cls: 0.7737, decode.d6.loss_mask: 0.7442, decode.d6.loss_dice: 1.1727, decode.d7.loss_cls: 0.7720, decode.d7.loss_mask: 0.7421, decode.d7.loss_dice: 1.1702, decode.d8.loss_cls: 0.7674, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1667, loss: 29.2181 2022-04-30 11:36:34,028 - mmseg - INFO - Iter [75800/80000] lr: 7.540e-08, eta: 2:10:34, time: 1.821, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7726, decode.loss_mask: 0.7321, decode.loss_dice: 1.1516, decode.d0.loss_cls: 2.5452, decode.d0.loss_mask: 0.7437, decode.d0.loss_dice: 1.3245, decode.d1.loss_cls: 0.8575, decode.d1.loss_mask: 0.7719, decode.d1.loss_dice: 1.2442, decode.d2.loss_cls: 0.7984, decode.d2.loss_mask: 0.7579, decode.d2.loss_dice: 1.2047, decode.d3.loss_cls: 0.7832, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1752, decode.d4.loss_cls: 0.7821, decode.d4.loss_mask: 0.7407, decode.d4.loss_dice: 1.1698, decode.d5.loss_cls: 0.7756, decode.d5.loss_mask: 0.7368, decode.d5.loss_dice: 1.1668, decode.d6.loss_cls: 0.7692, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.1577, decode.d7.loss_cls: 0.7684, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1544, decode.d8.loss_cls: 0.7712, decode.d8.loss_mask: 0.7351, decode.d8.loss_dice: 1.1521, loss: 28.9620 2022-04-30 11:38:03,667 - mmseg - INFO - Iter [75850/80000] lr: 7.450e-08, eta: 2:09:00, time: 1.793, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7854, decode.loss_mask: 0.7346, decode.loss_dice: 1.1676, decode.d0.loss_cls: 2.5929, decode.d0.loss_mask: 0.7449, decode.d0.loss_dice: 1.3464, decode.d1.loss_cls: 0.8964, decode.d1.loss_mask: 0.7693, decode.d1.loss_dice: 1.2810, decode.d2.loss_cls: 0.8265, decode.d2.loss_mask: 0.7502, decode.d2.loss_dice: 1.2178, decode.d3.loss_cls: 0.8012, decode.d3.loss_mask: 0.7454, decode.d3.loss_dice: 1.1963, decode.d4.loss_cls: 0.7913, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.1901, decode.d5.loss_cls: 0.7961, decode.d5.loss_mask: 0.7378, decode.d5.loss_dice: 1.1815, decode.d6.loss_cls: 0.7909, decode.d6.loss_mask: 0.7343, decode.d6.loss_dice: 1.1670, decode.d7.loss_cls: 0.7840, decode.d7.loss_mask: 0.7334, decode.d7.loss_dice: 1.1754, decode.d8.loss_cls: 0.7808, decode.d8.loss_mask: 0.7338, decode.d8.loss_dice: 1.1703, loss: 29.3648 2022-04-30 11:39:35,963 - mmseg - INFO - Iter [75900/80000] lr: 7.360e-08, eta: 2:07:27, time: 1.844, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7356, decode.loss_mask: 0.7422, decode.loss_dice: 1.1283, decode.d0.loss_cls: 2.5401, decode.d0.loss_mask: 0.7596, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.8286, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2301, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.1813, decode.d3.loss_cls: 0.7478, decode.d3.loss_mask: 0.7565, decode.d3.loss_dice: 1.1536, decode.d4.loss_cls: 0.7404, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.1528, decode.d5.loss_cls: 0.7403, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.1442, decode.d6.loss_cls: 0.7367, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1354, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7437, decode.d7.loss_dice: 1.1309, decode.d8.loss_cls: 0.7320, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.1358, loss: 28.5559 2022-04-30 11:41:07,349 - mmseg - INFO - Iter [75950/80000] lr: 7.271e-08, eta: 2:05:53, time: 1.830, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7408, decode.loss_mask: 0.7295, decode.loss_dice: 1.0886, decode.d0.loss_cls: 2.4959, decode.d0.loss_mask: 0.7519, decode.d0.loss_dice: 1.2575, decode.d1.loss_cls: 0.8321, decode.d1.loss_mask: 0.7631, decode.d1.loss_dice: 1.1961, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7508, decode.d2.loss_dice: 1.1402, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.1060, decode.d4.loss_cls: 0.7547, decode.d4.loss_mask: 0.7376, decode.d4.loss_dice: 1.1042, decode.d5.loss_cls: 0.7475, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.0955, decode.d6.loss_cls: 0.7465, decode.d6.loss_mask: 0.7336, decode.d6.loss_dice: 1.0948, decode.d7.loss_cls: 0.7390, decode.d7.loss_mask: 0.7340, decode.d7.loss_dice: 1.0959, decode.d8.loss_cls: 0.7402, decode.d8.loss_mask: 0.7312, decode.d8.loss_dice: 1.0903, loss: 28.0052 2022-04-30 11:42:36,727 - mmseg - INFO - Saving checkpoint at 76000 iterations 2022-04-30 11:42:55,240 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 11:42:55,254 - mmseg - INFO - Iter [76000/80000] lr: 7.181e-08, eta: 2:04:21, time: 2.155, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7413, decode.loss_mask: 0.7262, decode.loss_dice: 1.1073, decode.d0.loss_cls: 2.4514, decode.d0.loss_mask: 0.7456, decode.d0.loss_dice: 1.2826, decode.d1.loss_cls: 0.8348, decode.d1.loss_mask: 0.7623, decode.d1.loss_dice: 1.2065, decode.d2.loss_cls: 0.7788, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.1553, decode.d3.loss_cls: 0.7585, decode.d3.loss_mask: 0.7329, decode.d3.loss_dice: 1.1354, decode.d4.loss_cls: 0.7486, decode.d4.loss_mask: 0.7346, decode.d4.loss_dice: 1.1238, decode.d5.loss_cls: 0.7459, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.1207, decode.d6.loss_cls: 0.7420, decode.d6.loss_mask: 0.7293, decode.d6.loss_dice: 1.1077, decode.d7.loss_cls: 0.7369, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.1120, decode.d8.loss_cls: 0.7377, decode.d8.loss_mask: 0.7283, decode.d8.loss_dice: 1.1103, loss: 28.1014 2022-04-30 11:44:26,882 - mmseg - INFO - Iter [76050/80000] lr: 7.091e-08, eta: 2:02:48, time: 1.835, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7818, decode.loss_mask: 0.7321, decode.loss_dice: 1.1497, decode.d0.loss_cls: 2.5003, decode.d0.loss_mask: 0.7553, decode.d0.loss_dice: 1.3220, decode.d1.loss_cls: 0.8806, decode.d1.loss_mask: 0.7740, decode.d1.loss_dice: 1.2531, decode.d2.loss_cls: 0.8209, decode.d2.loss_mask: 0.7567, decode.d2.loss_dice: 1.2019, decode.d3.loss_cls: 0.8048, decode.d3.loss_mask: 0.7432, decode.d3.loss_dice: 1.1736, decode.d4.loss_cls: 0.7958, decode.d4.loss_mask: 0.7406, decode.d4.loss_dice: 1.1725, decode.d5.loss_cls: 0.7840, decode.d5.loss_mask: 0.7421, decode.d5.loss_dice: 1.1670, decode.d6.loss_cls: 0.7777, decode.d6.loss_mask: 0.7380, decode.d6.loss_dice: 1.1563, decode.d7.loss_cls: 0.7750, decode.d7.loss_mask: 0.7359, decode.d7.loss_dice: 1.1554, decode.d8.loss_cls: 0.7786, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1511, loss: 29.0543 2022-04-30 11:45:57,015 - mmseg - INFO - Iter [76100/80000] lr: 7.001e-08, eta: 2:01:14, time: 1.802, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7482, decode.loss_mask: 0.7231, decode.loss_dice: 1.1430, decode.d0.loss_cls: 2.4996, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.3142, decode.d1.loss_cls: 0.8375, decode.d1.loss_mask: 0.7576, decode.d1.loss_dice: 1.2490, decode.d2.loss_cls: 0.7907, decode.d2.loss_mask: 0.7412, decode.d2.loss_dice: 1.1875, decode.d3.loss_cls: 0.7646, decode.d3.loss_mask: 0.7314, decode.d3.loss_dice: 1.1711, decode.d4.loss_cls: 0.7584, decode.d4.loss_mask: 0.7317, decode.d4.loss_dice: 1.1678, decode.d5.loss_cls: 0.7575, decode.d5.loss_mask: 0.7288, decode.d5.loss_dice: 1.1593, decode.d6.loss_cls: 0.7543, decode.d6.loss_mask: 0.7259, decode.d6.loss_dice: 1.1408, decode.d7.loss_cls: 0.7494, decode.d7.loss_mask: 0.7231, decode.d7.loss_dice: 1.1461, decode.d8.loss_cls: 0.7473, decode.d8.loss_mask: 0.7207, decode.d8.loss_dice: 1.1407, loss: 28.5599 2022-04-30 11:47:27,413 - mmseg - INFO - Iter [76150/80000] lr: 6.912e-08, eta: 1:59:41, time: 1.808, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7250, decode.loss_mask: 0.7311, decode.loss_dice: 1.1524, decode.d0.loss_cls: 2.4868, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.3229, decode.d1.loss_cls: 0.8173, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.2551, decode.d2.loss_cls: 0.7597, decode.d2.loss_mask: 0.7465, decode.d2.loss_dice: 1.1995, decode.d3.loss_cls: 0.7485, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.1736, decode.d4.loss_cls: 0.7389, decode.d4.loss_mask: 0.7404, decode.d4.loss_dice: 1.1660, decode.d5.loss_cls: 0.7306, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.1649, decode.d6.loss_cls: 0.7318, decode.d6.loss_mask: 0.7316, decode.d6.loss_dice: 1.1453, decode.d7.loss_cls: 0.7304, decode.d7.loss_mask: 0.7290, decode.d7.loss_dice: 1.1507, decode.d8.loss_cls: 0.7276, decode.d8.loss_mask: 0.7294, decode.d8.loss_dice: 1.1512, loss: 28.4704 2022-04-30 11:48:57,743 - mmseg - INFO - Iter [76200/80000] lr: 6.822e-08, eta: 1:58:07, time: 1.807, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7598, decode.loss_mask: 0.7543, decode.loss_dice: 1.1487, decode.d0.loss_cls: 2.5521, decode.d0.loss_mask: 0.7700, decode.d0.loss_dice: 1.3342, decode.d1.loss_cls: 0.8583, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.2580, decode.d2.loss_cls: 0.7894, decode.d2.loss_mask: 0.7700, decode.d2.loss_dice: 1.2073, decode.d3.loss_cls: 0.7762, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.1768, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.1790, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7557, decode.d5.loss_dice: 1.1731, decode.d6.loss_cls: 0.7636, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.1642, decode.d7.loss_cls: 0.7584, decode.d7.loss_mask: 0.7552, decode.d7.loss_dice: 1.1625, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.1568, loss: 29.1331 2022-04-30 11:50:27,621 - mmseg - INFO - Iter [76250/80000] lr: 6.732e-08, eta: 1:56:34, time: 1.798, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7869, decode.loss_mask: 0.7473, decode.loss_dice: 1.1677, decode.d0.loss_cls: 2.5585, decode.d0.loss_mask: 0.7636, decode.d0.loss_dice: 1.3632, decode.d1.loss_cls: 0.8968, decode.d1.loss_mask: 0.7896, decode.d1.loss_dice: 1.2769, decode.d2.loss_cls: 0.8245, decode.d2.loss_mask: 0.7614, decode.d2.loss_dice: 1.2229, decode.d3.loss_cls: 0.8070, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1950, decode.d4.loss_cls: 0.7960, decode.d4.loss_mask: 0.7546, decode.d4.loss_dice: 1.1947, decode.d5.loss_cls: 0.7912, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.1819, decode.d6.loss_cls: 0.7860, decode.d6.loss_mask: 0.7479, decode.d6.loss_dice: 1.1718, decode.d7.loss_cls: 0.7881, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.1713, decode.d8.loss_cls: 0.7885, decode.d8.loss_mask: 0.7479, decode.d8.loss_dice: 1.1677, loss: 29.5010 2022-04-30 11:52:00,240 - mmseg - INFO - Iter [76300/80000] lr: 6.642e-08, eta: 1:55:01, time: 1.852, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7127, decode.loss_mask: 0.7404, decode.loss_dice: 1.1306, decode.d0.loss_cls: 2.4694, decode.d0.loss_mask: 0.7577, decode.d0.loss_dice: 1.2976, decode.d1.loss_cls: 0.8079, decode.d1.loss_mask: 0.7706, decode.d1.loss_dice: 1.2157, decode.d2.loss_cls: 0.7518, decode.d2.loss_mask: 0.7567, decode.d2.loss_dice: 1.1735, decode.d3.loss_cls: 0.7329, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.1556, decode.d4.loss_cls: 0.7308, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.1500, decode.d5.loss_cls: 0.7238, decode.d5.loss_mask: 0.7450, decode.d5.loss_dice: 1.1454, decode.d6.loss_cls: 0.7153, decode.d6.loss_mask: 0.7429, decode.d6.loss_dice: 1.1336, decode.d7.loss_cls: 0.7144, decode.d7.loss_mask: 0.7417, decode.d7.loss_dice: 1.1296, decode.d8.loss_cls: 0.7113, decode.d8.loss_mask: 0.7419, decode.d8.loss_dice: 1.1339, loss: 28.2306 2022-04-30 11:53:33,203 - mmseg - INFO - Iter [76350/80000] lr: 6.553e-08, eta: 1:53:27, time: 1.860, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7476, decode.loss_mask: 0.7400, decode.loss_dice: 1.1401, decode.d0.loss_cls: 2.5172, decode.d0.loss_mask: 0.7521, decode.d0.loss_dice: 1.3288, decode.d1.loss_cls: 0.8413, decode.d1.loss_mask: 0.7733, decode.d1.loss_dice: 1.2467, decode.d2.loss_cls: 0.7840, decode.d2.loss_mask: 0.7519, decode.d2.loss_dice: 1.1908, decode.d3.loss_cls: 0.7711, decode.d3.loss_mask: 0.7473, decode.d3.loss_dice: 1.1677, decode.d4.loss_cls: 0.7602, decode.d4.loss_mask: 0.7469, decode.d4.loss_dice: 1.1635, decode.d5.loss_cls: 0.7584, decode.d5.loss_mask: 0.7400, decode.d5.loss_dice: 1.1519, decode.d6.loss_cls: 0.7520, decode.d6.loss_mask: 0.7385, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.7490, decode.d7.loss_mask: 0.7409, decode.d7.loss_dice: 1.1434, decode.d8.loss_cls: 0.7471, decode.d8.loss_mask: 0.7390, decode.d8.loss_dice: 1.1417, loss: 28.7160 2022-04-30 11:55:03,742 - mmseg - INFO - Iter [76400/80000] lr: 6.463e-08, eta: 1:51:54, time: 1.809, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7584, decode.loss_mask: 0.7530, decode.loss_dice: 1.1799, decode.d0.loss_cls: 2.5555, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.3532, decode.d1.loss_cls: 0.8579, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.2769, decode.d2.loss_cls: 0.7972, decode.d2.loss_mask: 0.7697, decode.d2.loss_dice: 1.2287, decode.d3.loss_cls: 0.7859, decode.d3.loss_mask: 0.7588, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 0.7781, decode.d4.loss_mask: 0.7565, decode.d4.loss_dice: 1.1948, decode.d5.loss_cls: 0.7751, decode.d5.loss_mask: 0.7538, decode.d5.loss_dice: 1.1888, decode.d6.loss_cls: 0.7658, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1725, decode.d7.loss_cls: 0.7651, decode.d7.loss_mask: 0.7472, decode.d7.loss_dice: 1.1755, decode.d8.loss_cls: 0.7628, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.1762, loss: 29.3365 2022-04-30 11:56:33,642 - mmseg - INFO - Iter [76450/80000] lr: 6.373e-08, eta: 1:50:21, time: 1.800, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7555, decode.loss_mask: 0.7573, decode.loss_dice: 1.1663, decode.d0.loss_cls: 2.5014, decode.d0.loss_mask: 0.7710, decode.d0.loss_dice: 1.3401, decode.d1.loss_cls: 0.8422, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.2628, decode.d2.loss_cls: 0.7975, decode.d2.loss_mask: 0.7726, decode.d2.loss_dice: 1.2126, decode.d3.loss_cls: 0.7747, decode.d3.loss_mask: 0.7718, decode.d3.loss_dice: 1.1923, decode.d4.loss_cls: 0.7644, decode.d4.loss_mask: 0.7668, decode.d4.loss_dice: 1.1854, decode.d5.loss_cls: 0.7626, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.1771, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7593, decode.d6.loss_dice: 1.1698, decode.d7.loss_cls: 0.7539, decode.d7.loss_mask: 0.7580, decode.d7.loss_dice: 1.1766, decode.d8.loss_cls: 0.7527, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1701, loss: 29.1794 2022-04-30 11:58:02,686 - mmseg - INFO - Iter [76500/80000] lr: 6.283e-08, eta: 1:48:47, time: 1.779, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7307, decode.loss_mask: 0.7314, decode.loss_dice: 1.1473, decode.d0.loss_cls: 2.4520, decode.d0.loss_mask: 0.7559, decode.d0.loss_dice: 1.3363, decode.d1.loss_cls: 0.8317, decode.d1.loss_mask: 0.7667, decode.d1.loss_dice: 1.2589, decode.d2.loss_cls: 0.7676, decode.d2.loss_mask: 0.7526, decode.d2.loss_dice: 1.2044, decode.d3.loss_cls: 0.7503, decode.d3.loss_mask: 0.7447, decode.d3.loss_dice: 1.1740, decode.d4.loss_cls: 0.7367, decode.d4.loss_mask: 0.7455, decode.d4.loss_dice: 1.1745, decode.d5.loss_cls: 0.7372, decode.d5.loss_mask: 0.7396, decode.d5.loss_dice: 1.1681, decode.d6.loss_cls: 0.7317, decode.d6.loss_mask: 0.7353, decode.d6.loss_dice: 1.1582, decode.d7.loss_cls: 0.7308, decode.d7.loss_mask: 0.7352, decode.d7.loss_dice: 1.1572, decode.d8.loss_cls: 0.7221, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.1563, loss: 28.5676 2022-04-30 11:59:33,898 - mmseg - INFO - Iter [76550/80000] lr: 6.194e-08, eta: 1:47:14, time: 1.826, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7665, decode.loss_mask: 0.7102, decode.loss_dice: 1.1247, decode.d0.loss_cls: 2.5234, decode.d0.loss_mask: 0.7298, decode.d0.loss_dice: 1.3120, decode.d1.loss_cls: 0.8543, decode.d1.loss_mask: 0.7386, decode.d1.loss_dice: 1.2279, decode.d2.loss_cls: 0.7833, decode.d2.loss_mask: 0.7289, decode.d2.loss_dice: 1.1812, decode.d3.loss_cls: 0.7816, decode.d3.loss_mask: 0.7154, decode.d3.loss_dice: 1.1542, decode.d4.loss_cls: 0.7775, decode.d4.loss_mask: 0.7160, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.7655, decode.d5.loss_mask: 0.7139, decode.d5.loss_dice: 1.1454, decode.d6.loss_cls: 0.7645, decode.d6.loss_mask: 0.7119, decode.d6.loss_dice: 1.1346, decode.d7.loss_cls: 0.7679, decode.d7.loss_mask: 0.7070, decode.d7.loss_dice: 1.1363, decode.d8.loss_cls: 0.7659, decode.d8.loss_mask: 0.7094, decode.d8.loss_dice: 1.1312, loss: 28.4322 2022-04-30 12:01:06,304 - mmseg - INFO - Iter [76600/80000] lr: 6.104e-08, eta: 1:45:41, time: 1.848, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7397, decode.loss_mask: 0.7390, decode.loss_dice: 1.1472, decode.d0.loss_cls: 2.4810, decode.d0.loss_mask: 0.7622, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 0.8358, decode.d1.loss_mask: 0.7682, decode.d1.loss_dice: 1.2554, decode.d2.loss_cls: 0.7772, decode.d2.loss_mask: 0.7566, decode.d2.loss_dice: 1.2013, decode.d3.loss_cls: 0.7547, decode.d3.loss_mask: 0.7468, decode.d3.loss_dice: 1.1745, decode.d4.loss_cls: 0.7484, decode.d4.loss_mask: 0.7460, decode.d4.loss_dice: 1.1713, decode.d5.loss_cls: 0.7439, decode.d5.loss_mask: 0.7428, decode.d5.loss_dice: 1.1660, decode.d6.loss_cls: 0.7402, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.1524, decode.d7.loss_cls: 0.7368, decode.d7.loss_mask: 0.7401, decode.d7.loss_dice: 1.1554, decode.d8.loss_cls: 0.7406, decode.d8.loss_mask: 0.7379, decode.d8.loss_dice: 1.1471, loss: 28.6934 2022-04-30 12:02:36,095 - mmseg - INFO - Iter [76650/80000] lr: 6.014e-08, eta: 1:44:07, time: 1.795, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7478, decode.loss_mask: 0.7291, decode.loss_dice: 1.1346, decode.d0.loss_cls: 2.5079, decode.d0.loss_mask: 0.7500, decode.d0.loss_dice: 1.3330, decode.d1.loss_cls: 0.8385, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.2506, decode.d2.loss_cls: 0.7852, decode.d2.loss_mask: 0.7437, decode.d2.loss_dice: 1.1928, decode.d3.loss_cls: 0.7690, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1622, decode.d4.loss_cls: 0.7546, decode.d4.loss_mask: 0.7393, decode.d4.loss_dice: 1.1657, decode.d5.loss_cls: 0.7519, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.1549, decode.d6.loss_cls: 0.7475, decode.d6.loss_mask: 0.7315, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.7439, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.1410, decode.d8.loss_cls: 0.7466, decode.d8.loss_mask: 0.7317, decode.d8.loss_dice: 1.1387, loss: 28.5974 2022-04-30 12:04:05,448 - mmseg - INFO - Iter [76700/80000] lr: 5.924e-08, eta: 1:42:34, time: 1.788, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7246, decode.loss_mask: 0.7457, decode.loss_dice: 1.1331, decode.d0.loss_cls: 2.4766, decode.d0.loss_mask: 0.7677, decode.d0.loss_dice: 1.3094, decode.d1.loss_cls: 0.8237, decode.d1.loss_mask: 0.7781, decode.d1.loss_dice: 1.2364, decode.d2.loss_cls: 0.7647, decode.d2.loss_mask: 0.7631, decode.d2.loss_dice: 1.1795, decode.d3.loss_cls: 0.7392, decode.d3.loss_mask: 0.7598, decode.d3.loss_dice: 1.1621, decode.d4.loss_cls: 0.7264, decode.d4.loss_mask: 0.7543, decode.d4.loss_dice: 1.1549, decode.d5.loss_cls: 0.7241, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.1409, decode.d6.loss_cls: 0.7256, decode.d6.loss_mask: 0.7557, decode.d6.loss_dice: 1.1373, decode.d7.loss_cls: 0.7219, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.1362, decode.d8.loss_cls: 0.7237, decode.d8.loss_mask: 0.7494, decode.d8.loss_dice: 1.1379, loss: 28.4547 2022-04-30 12:05:36,060 - mmseg - INFO - Iter [76750/80000] lr: 5.835e-08, eta: 1:41:00, time: 1.812, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7767, decode.loss_mask: 0.7372, decode.loss_dice: 1.1464, decode.d0.loss_cls: 2.5565, decode.d0.loss_mask: 0.7568, decode.d0.loss_dice: 1.3266, decode.d1.loss_cls: 0.8741, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 0.8073, decode.d2.loss_mask: 0.7552, decode.d2.loss_dice: 1.1969, decode.d3.loss_cls: 0.7983, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.1725, decode.d4.loss_cls: 0.7889, decode.d4.loss_mask: 0.7465, decode.d4.loss_dice: 1.1715, decode.d5.loss_cls: 0.7819, decode.d5.loss_mask: 0.7412, decode.d5.loss_dice: 1.1601, decode.d6.loss_cls: 0.7741, decode.d6.loss_mask: 0.7398, decode.d6.loss_dice: 1.1467, decode.d7.loss_cls: 0.7723, decode.d7.loss_mask: 0.7398, decode.d7.loss_dice: 1.1476, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.1462, loss: 29.0436 2022-04-30 12:07:06,557 - mmseg - INFO - Iter [76800/80000] lr: 5.745e-08, eta: 1:39:27, time: 1.810, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7518, decode.loss_mask: 0.7219, decode.loss_dice: 1.1338, decode.d0.loss_cls: 2.5530, decode.d0.loss_mask: 0.7422, decode.d0.loss_dice: 1.3147, decode.d1.loss_cls: 0.8308, decode.d1.loss_mask: 0.7599, decode.d1.loss_dice: 1.2435, decode.d2.loss_cls: 0.7823, decode.d2.loss_mask: 0.7409, decode.d2.loss_dice: 1.1921, decode.d3.loss_cls: 0.7725, decode.d3.loss_mask: 0.7323, decode.d3.loss_dice: 1.1556, decode.d4.loss_cls: 0.7665, decode.d4.loss_mask: 0.7271, decode.d4.loss_dice: 1.1562, decode.d5.loss_cls: 0.7638, decode.d5.loss_mask: 0.7223, decode.d5.loss_dice: 1.1485, decode.d6.loss_cls: 0.7555, decode.d6.loss_mask: 0.7203, decode.d6.loss_dice: 1.1367, decode.d7.loss_cls: 0.7526, decode.d7.loss_mask: 0.7185, decode.d7.loss_dice: 1.1369, decode.d8.loss_cls: 0.7565, decode.d8.loss_mask: 0.7177, decode.d8.loss_dice: 1.1348, loss: 28.5410 2022-04-30 12:08:35,967 - mmseg - INFO - Iter [76850/80000] lr: 5.655e-08, eta: 1:37:54, time: 1.788, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7673, decode.loss_mask: 0.7291, decode.loss_dice: 1.1442, decode.d0.loss_cls: 2.5428, decode.d0.loss_mask: 0.7444, decode.d0.loss_dice: 1.3265, decode.d1.loss_cls: 0.8760, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.2474, decode.d2.loss_cls: 0.8057, decode.d2.loss_mask: 0.7448, decode.d2.loss_dice: 1.1996, decode.d3.loss_cls: 0.7889, decode.d3.loss_mask: 0.7371, decode.d3.loss_dice: 1.1663, decode.d4.loss_cls: 0.7816, decode.d4.loss_mask: 0.7351, decode.d4.loss_dice: 1.1661, decode.d5.loss_cls: 0.7769, decode.d5.loss_mask: 0.7303, decode.d5.loss_dice: 1.1637, decode.d6.loss_cls: 0.7756, decode.d6.loss_mask: 0.7271, decode.d6.loss_dice: 1.1518, decode.d7.loss_cls: 0.7688, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.1450, decode.d8.loss_cls: 0.7710, decode.d8.loss_mask: 0.7284, decode.d8.loss_dice: 1.1484, loss: 28.8866 2022-04-30 12:10:08,137 - mmseg - INFO - Iter [76900/80000] lr: 5.566e-08, eta: 1:36:20, time: 1.842, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7782, decode.loss_mask: 0.7298, decode.loss_dice: 1.1529, decode.d0.loss_cls: 2.5595, decode.d0.loss_mask: 0.7581, decode.d0.loss_dice: 1.3353, decode.d1.loss_cls: 0.8753, decode.d1.loss_mask: 0.7667, decode.d1.loss_dice: 1.2517, decode.d2.loss_cls: 0.8126, decode.d2.loss_mask: 0.7477, decode.d2.loss_dice: 1.2015, decode.d3.loss_cls: 0.7947, decode.d3.loss_mask: 0.7383, decode.d3.loss_dice: 1.1784, decode.d4.loss_cls: 0.7900, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.1744, decode.d5.loss_cls: 0.7856, decode.d5.loss_mask: 0.7340, decode.d5.loss_dice: 1.1741, decode.d6.loss_cls: 0.7807, decode.d6.loss_mask: 0.7307, decode.d6.loss_dice: 1.1556, decode.d7.loss_cls: 0.7792, decode.d7.loss_mask: 0.7274, decode.d7.loss_dice: 1.1560, decode.d8.loss_cls: 0.7770, decode.d8.loss_mask: 0.7303, decode.d8.loss_dice: 1.1566, loss: 29.0683 2022-04-30 12:11:37,794 - mmseg - INFO - Iter [76950/80000] lr: 5.476e-08, eta: 1:34:47, time: 1.795, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7578, decode.loss_mask: 0.7522, decode.loss_dice: 1.1225, decode.d0.loss_cls: 2.4651, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.3065, decode.d1.loss_cls: 0.8432, decode.d1.loss_mask: 0.7991, decode.d1.loss_dice: 1.2297, decode.d2.loss_cls: 0.8027, decode.d2.loss_mask: 0.7778, decode.d2.loss_dice: 1.1714, decode.d3.loss_cls: 0.7771, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.1492, decode.d4.loss_cls: 0.7699, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.1440, decode.d5.loss_cls: 0.7689, decode.d5.loss_mask: 0.7578, decode.d5.loss_dice: 1.1408, decode.d6.loss_cls: 0.7639, decode.d6.loss_mask: 0.7524, decode.d6.loss_dice: 1.1323, decode.d7.loss_cls: 0.7581, decode.d7.loss_mask: 0.7514, decode.d7.loss_dice: 1.1267, decode.d8.loss_cls: 0.7569, decode.d8.loss_mask: 0.7519, decode.d8.loss_dice: 1.1285, loss: 28.7693 2022-04-30 12:13:07,302 - mmseg - INFO - Saving checkpoint at 77000 iterations 2022-04-30 12:13:30,313 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 12:13:30,321 - mmseg - INFO - Iter [77000/80000] lr: 5.386e-08, eta: 1:33:14, time: 2.249, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7379, decode.loss_mask: 0.7695, decode.loss_dice: 1.1668, decode.d0.loss_cls: 2.4803, decode.d0.loss_mask: 0.7850, decode.d0.loss_dice: 1.3453, decode.d1.loss_cls: 0.8293, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.2699, decode.d2.loss_cls: 0.7781, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.2049, decode.d3.loss_cls: 0.7541, decode.d3.loss_mask: 0.7831, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 0.7512, decode.d4.loss_mask: 0.7778, decode.d4.loss_dice: 1.1758, decode.d5.loss_cls: 0.7418, decode.d5.loss_mask: 0.7783, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7424, decode.d6.loss_mask: 0.7749, decode.d6.loss_dice: 1.1723, decode.d7.loss_cls: 0.7390, decode.d7.loss_mask: 0.7735, decode.d7.loss_dice: 1.1604, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7731, decode.d8.loss_dice: 1.1674, loss: 29.1221 2022-04-30 12:15:00,530 - mmseg - INFO - Iter [77050/80000] lr: 5.296e-08, eta: 1:31:41, time: 1.806, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7452, decode.loss_mask: 0.7477, decode.loss_dice: 1.1300, decode.d0.loss_cls: 2.4539, decode.d0.loss_mask: 0.7735, decode.d0.loss_dice: 1.3121, decode.d1.loss_cls: 0.8298, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.2240, decode.d2.loss_cls: 0.7805, decode.d2.loss_mask: 0.7625, decode.d2.loss_dice: 1.1775, decode.d3.loss_cls: 0.7542, decode.d3.loss_mask: 0.7510, decode.d3.loss_dice: 1.1535, decode.d4.loss_cls: 0.7541, decode.d4.loss_mask: 0.7498, decode.d4.loss_dice: 1.1459, decode.d5.loss_cls: 0.7479, decode.d5.loss_mask: 0.7512, decode.d5.loss_dice: 1.1404, decode.d6.loss_cls: 0.7469, decode.d6.loss_mask: 0.7457, decode.d6.loss_dice: 1.1304, decode.d7.loss_cls: 0.7473, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1343, decode.d8.loss_cls: 0.7506, decode.d8.loss_mask: 0.7432, decode.d8.loss_dice: 1.1312, loss: 28.5453 2022-04-30 12:16:32,989 - mmseg - INFO - Iter [77100/80000] lr: 5.207e-08, eta: 1:30:08, time: 1.849, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7714, decode.loss_mask: 0.7375, decode.loss_dice: 1.1598, decode.d0.loss_cls: 2.5283, decode.d0.loss_mask: 0.7703, decode.d0.loss_dice: 1.3412, decode.d1.loss_cls: 0.8728, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2663, decode.d2.loss_cls: 0.8112, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.2147, decode.d3.loss_cls: 0.7936, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1816, decode.d4.loss_cls: 0.7877, decode.d4.loss_mask: 0.7415, decode.d4.loss_dice: 1.1760, decode.d5.loss_cls: 0.7795, decode.d5.loss_mask: 0.7410, decode.d5.loss_dice: 1.1693, decode.d6.loss_cls: 0.7903, decode.d6.loss_mask: 0.7361, decode.d6.loss_dice: 1.1549, decode.d7.loss_cls: 0.7794, decode.d7.loss_mask: 0.7345, decode.d7.loss_dice: 1.1512, decode.d8.loss_cls: 0.7753, decode.d8.loss_mask: 0.7411, decode.d8.loss_dice: 1.1552, loss: 29.1513 2022-04-30 12:18:02,687 - mmseg - INFO - Iter [77150/80000] lr: 5.117e-08, eta: 1:28:34, time: 1.794, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7497, decode.loss_mask: 0.7472, decode.loss_dice: 1.1401, decode.d0.loss_cls: 2.4879, decode.d0.loss_mask: 0.7683, decode.d0.loss_dice: 1.3164, decode.d1.loss_cls: 0.8299, decode.d1.loss_mask: 0.7781, decode.d1.loss_dice: 1.2378, decode.d2.loss_cls: 0.7844, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.1835, decode.d3.loss_cls: 0.7665, decode.d3.loss_mask: 0.7561, decode.d3.loss_dice: 1.1554, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7534, decode.d4.loss_dice: 1.1610, decode.d5.loss_cls: 0.7615, decode.d5.loss_mask: 0.7479, decode.d5.loss_dice: 1.1478, decode.d6.loss_cls: 0.7515, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.1425, decode.d7.loss_cls: 0.7505, decode.d7.loss_mask: 0.7450, decode.d7.loss_dice: 1.1396, decode.d8.loss_cls: 0.7518, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.1435, loss: 28.7236 2022-04-30 12:19:33,574 - mmseg - INFO - Iter [77200/80000] lr: 5.027e-08, eta: 1:27:01, time: 1.818, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7352, decode.loss_mask: 0.7464, decode.loss_dice: 1.1313, decode.d0.loss_cls: 2.4921, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.3142, decode.d1.loss_cls: 0.8235, decode.d1.loss_mask: 0.7794, decode.d1.loss_dice: 1.2368, decode.d2.loss_cls: 0.7663, decode.d2.loss_mask: 0.7633, decode.d2.loss_dice: 1.1860, decode.d3.loss_cls: 0.7497, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.1584, decode.d4.loss_cls: 0.7479, decode.d4.loss_mask: 0.7542, decode.d4.loss_dice: 1.1549, decode.d5.loss_cls: 0.7397, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.1517, decode.d6.loss_cls: 0.7360, decode.d6.loss_mask: 0.7483, decode.d6.loss_dice: 1.1425, decode.d7.loss_cls: 0.7329, decode.d7.loss_mask: 0.7499, decode.d7.loss_dice: 1.1396, decode.d8.loss_cls: 0.7369, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.1354, loss: 28.5797 2022-04-30 12:21:05,636 - mmseg - INFO - Iter [77250/80000] lr: 4.937e-08, eta: 1:25:28, time: 1.841, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7182, decode.loss_mask: 0.7498, decode.loss_dice: 1.1214, decode.d0.loss_cls: 2.4888, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.2914, decode.d1.loss_cls: 0.8040, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.2250, decode.d2.loss_cls: 0.7575, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.1687, decode.d3.loss_cls: 0.7393, decode.d3.loss_mask: 0.7502, decode.d3.loss_dice: 1.1372, decode.d4.loss_cls: 0.7287, decode.d4.loss_mask: 0.7500, decode.d4.loss_dice: 1.1382, decode.d5.loss_cls: 0.7256, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.1381, decode.d6.loss_cls: 0.7186, decode.d6.loss_mask: 0.7526, decode.d6.loss_dice: 1.1315, decode.d7.loss_cls: 0.7179, decode.d7.loss_mask: 0.7479, decode.d7.loss_dice: 1.1294, decode.d8.loss_cls: 0.7161, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.1245, loss: 28.2750 2022-04-30 12:22:36,926 - mmseg - INFO - Iter [77300/80000] lr: 4.848e-08, eta: 1:23:54, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7747, decode.loss_mask: 0.7480, decode.loss_dice: 1.1540, decode.d0.loss_cls: 2.5698, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.3408, decode.d1.loss_cls: 0.8656, decode.d1.loss_mask: 0.7760, decode.d1.loss_dice: 1.2560, decode.d2.loss_cls: 0.8180, decode.d2.loss_mask: 0.7621, decode.d2.loss_dice: 1.2037, decode.d3.loss_cls: 0.7989, decode.d3.loss_mask: 0.7532, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 0.7859, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.1733, decode.d5.loss_cls: 0.7820, decode.d5.loss_mask: 0.7497, decode.d5.loss_dice: 1.1676, decode.d6.loss_cls: 0.7792, decode.d6.loss_mask: 0.7524, decode.d6.loss_dice: 1.1533, decode.d7.loss_cls: 0.7750, decode.d7.loss_mask: 0.7471, decode.d7.loss_dice: 1.1535, decode.d8.loss_cls: 0.7752, decode.d8.loss_mask: 0.7517, decode.d8.loss_dice: 1.1545, loss: 29.2057 2022-04-30 12:24:06,816 - mmseg - INFO - Iter [77350/80000] lr: 4.758e-08, eta: 1:22:21, time: 1.798, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7484, decode.loss_mask: 0.7623, decode.loss_dice: 1.1338, decode.d0.loss_cls: 2.4377, decode.d0.loss_mask: 0.7884, decode.d0.loss_dice: 1.3125, decode.d1.loss_cls: 0.8281, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.2480, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7923, decode.d2.loss_dice: 1.1985, decode.d3.loss_cls: 0.7676, decode.d3.loss_mask: 0.7762, decode.d3.loss_dice: 1.1652, decode.d4.loss_cls: 0.7563, decode.d4.loss_mask: 0.7730, decode.d4.loss_dice: 1.1651, decode.d5.loss_cls: 0.7516, decode.d5.loss_mask: 0.7653, decode.d5.loss_dice: 1.1581, decode.d6.loss_cls: 0.7583, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.1343, decode.d7.loss_cls: 0.7491, decode.d7.loss_mask: 0.7610, decode.d7.loss_dice: 1.1436, decode.d8.loss_cls: 0.7457, decode.d8.loss_mask: 0.7657, decode.d8.loss_dice: 1.1425, loss: 28.8698 2022-04-30 12:25:36,652 - mmseg - INFO - Iter [77400/80000] lr: 4.668e-08, eta: 1:20:48, time: 1.797, data_time: 0.012, memory: 64979, decode.loss_cls: 0.6764, decode.loss_mask: 0.7474, decode.loss_dice: 1.1108, decode.d0.loss_cls: 2.4185, decode.d0.loss_mask: 0.7631, decode.d0.loss_dice: 1.2731, decode.d1.loss_cls: 0.7748, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2051, decode.d2.loss_cls: 0.7181, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.1542, decode.d3.loss_cls: 0.7064, decode.d3.loss_mask: 0.7519, decode.d3.loss_dice: 1.1305, decode.d4.loss_cls: 0.6912, decode.d4.loss_mask: 0.7537, decode.d4.loss_dice: 1.1276, decode.d5.loss_cls: 0.6865, decode.d5.loss_mask: 0.7478, decode.d5.loss_dice: 1.1191, decode.d6.loss_cls: 0.6850, decode.d6.loss_mask: 0.7475, decode.d6.loss_dice: 1.1098, decode.d7.loss_cls: 0.6768, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.1134, decode.d8.loss_cls: 0.6802, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.1112, loss: 27.7218 2022-04-30 12:27:06,451 - mmseg - INFO - Iter [77450/80000] lr: 4.578e-08, eta: 1:19:14, time: 1.796, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7492, decode.loss_mask: 0.7434, decode.loss_dice: 1.1710, decode.d0.loss_cls: 2.5409, decode.d0.loss_mask: 0.7610, decode.d0.loss_dice: 1.3512, decode.d1.loss_cls: 0.8485, decode.d1.loss_mask: 0.7842, decode.d1.loss_dice: 1.2777, decode.d2.loss_cls: 0.7950, decode.d2.loss_mask: 0.7653, decode.d2.loss_dice: 1.2197, decode.d3.loss_cls: 0.7786, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.1936, decode.d4.loss_cls: 0.7670, decode.d4.loss_mask: 0.7553, decode.d4.loss_dice: 1.1949, decode.d5.loss_cls: 0.7622, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.1819, decode.d6.loss_cls: 0.7629, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.1647, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.1668, decode.d8.loss_cls: 0.7549, decode.d8.loss_mask: 0.7431, decode.d8.loss_dice: 1.1703, loss: 29.1564 2022-04-30 12:28:37,890 - mmseg - INFO - Iter [77500/80000] lr: 4.489e-08, eta: 1:17:41, time: 1.829, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7297, decode.loss_mask: 0.7173, decode.loss_dice: 1.1249, decode.d0.loss_cls: 2.4745, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.3157, decode.d1.loss_cls: 0.8301, decode.d1.loss_mask: 0.7525, decode.d1.loss_dice: 1.2314, decode.d2.loss_cls: 0.7630, decode.d2.loss_mask: 0.7399, decode.d2.loss_dice: 1.1738, decode.d3.loss_cls: 0.7522, decode.d3.loss_mask: 0.7293, decode.d3.loss_dice: 1.1510, decode.d4.loss_cls: 0.7429, decode.d4.loss_mask: 0.7264, decode.d4.loss_dice: 1.1448, decode.d5.loss_cls: 0.7364, decode.d5.loss_mask: 0.7226, decode.d5.loss_dice: 1.1427, decode.d6.loss_cls: 0.7344, decode.d6.loss_mask: 0.7182, decode.d6.loss_dice: 1.1338, decode.d7.loss_cls: 0.7312, decode.d7.loss_mask: 0.7163, decode.d7.loss_dice: 1.1319, decode.d8.loss_cls: 0.7269, decode.d8.loss_mask: 0.7173, decode.d8.loss_dice: 1.1334, loss: 28.1940 2022-04-30 12:30:09,381 - mmseg - INFO - Iter [77550/80000] lr: 4.399e-08, eta: 1:16:08, time: 1.830, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7336, decode.loss_mask: 0.7260, decode.loss_dice: 1.1629, decode.d0.loss_cls: 2.4877, decode.d0.loss_mask: 0.7465, decode.d0.loss_dice: 1.3407, decode.d1.loss_cls: 0.8374, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.2678, decode.d2.loss_cls: 0.7818, decode.d2.loss_mask: 0.7434, decode.d2.loss_dice: 1.2122, decode.d3.loss_cls: 0.7586, decode.d3.loss_mask: 0.7375, decode.d3.loss_dice: 1.1891, decode.d4.loss_cls: 0.7489, decode.d4.loss_mask: 0.7363, decode.d4.loss_dice: 1.1861, decode.d5.loss_cls: 0.7443, decode.d5.loss_mask: 0.7306, decode.d5.loss_dice: 1.1785, decode.d6.loss_cls: 0.7405, decode.d6.loss_mask: 0.7260, decode.d6.loss_dice: 1.1693, decode.d7.loss_cls: 0.7392, decode.d7.loss_mask: 0.7274, decode.d7.loss_dice: 1.1732, decode.d8.loss_cls: 0.7366, decode.d8.loss_mask: 0.7279, decode.d8.loss_dice: 1.1727, loss: 28.7185 2022-04-30 12:31:39,461 - mmseg - INFO - Iter [77600/80000] lr: 4.309e-08, eta: 1:14:35, time: 1.801, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7675, decode.loss_mask: 0.7159, decode.loss_dice: 1.1306, decode.d0.loss_cls: 2.5497, decode.d0.loss_mask: 0.7365, decode.d0.loss_dice: 1.3056, decode.d1.loss_cls: 0.8552, decode.d1.loss_mask: 0.7561, decode.d1.loss_dice: 1.2420, decode.d2.loss_cls: 0.7990, decode.d2.loss_mask: 0.7368, decode.d2.loss_dice: 1.1869, decode.d3.loss_cls: 0.7921, decode.d3.loss_mask: 0.7296, decode.d3.loss_dice: 1.1560, decode.d4.loss_cls: 0.7812, decode.d4.loss_mask: 0.7269, decode.d4.loss_dice: 1.1592, decode.d5.loss_cls: 0.7762, decode.d5.loss_mask: 0.7227, decode.d5.loss_dice: 1.1440, decode.d6.loss_cls: 0.7686, decode.d6.loss_mask: 0.7195, decode.d6.loss_dice: 1.1362, decode.d7.loss_cls: 0.7627, decode.d7.loss_mask: 0.7212, decode.d7.loss_dice: 1.1386, decode.d8.loss_cls: 0.7617, decode.d8.loss_mask: 0.7182, decode.d8.loss_dice: 1.1348, loss: 28.6311 2022-04-30 12:33:10,463 - mmseg - INFO - Iter [77650/80000] lr: 4.219e-08, eta: 1:13:01, time: 1.819, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7485, decode.loss_mask: 0.7581, decode.loss_dice: 1.1377, decode.d0.loss_cls: 2.5160, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.3190, decode.d1.loss_cls: 0.8404, decode.d1.loss_mask: 0.7935, decode.d1.loss_dice: 1.2473, decode.d2.loss_cls: 0.7799, decode.d2.loss_mask: 0.7777, decode.d2.loss_dice: 1.1956, decode.d3.loss_cls: 0.7792, decode.d3.loss_mask: 0.7638, decode.d3.loss_dice: 1.1579, decode.d4.loss_cls: 0.7628, decode.d4.loss_mask: 0.7664, decode.d4.loss_dice: 1.1593, decode.d5.loss_cls: 0.7634, decode.d5.loss_mask: 0.7646, decode.d5.loss_dice: 1.1571, decode.d6.loss_cls: 0.7600, decode.d6.loss_mask: 0.7604, decode.d6.loss_dice: 1.1408, decode.d7.loss_cls: 0.7511, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.1457, decode.d8.loss_cls: 0.7504, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.1396, loss: 28.9312 2022-04-30 12:34:41,178 - mmseg - INFO - Iter [77700/80000] lr: 4.130e-08, eta: 1:11:28, time: 1.815, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7653, decode.loss_mask: 0.7273, decode.loss_dice: 1.1590, decode.d0.loss_cls: 2.5427, decode.d0.loss_mask: 0.7448, decode.d0.loss_dice: 1.3386, decode.d1.loss_cls: 0.8663, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.2644, decode.d2.loss_cls: 0.8079, decode.d2.loss_mask: 0.7494, decode.d2.loss_dice: 1.2136, decode.d3.loss_cls: 0.7928, decode.d3.loss_mask: 0.7385, decode.d3.loss_dice: 1.1804, decode.d4.loss_cls: 0.7739, decode.d4.loss_mask: 0.7396, decode.d4.loss_dice: 1.1834, decode.d5.loss_cls: 0.7794, decode.d5.loss_mask: 0.7357, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 0.7723, decode.d6.loss_mask: 0.7320, decode.d6.loss_dice: 1.1624, decode.d7.loss_cls: 0.7711, decode.d7.loss_mask: 0.7295, decode.d7.loss_dice: 1.1609, decode.d8.loss_cls: 0.7661, decode.d8.loss_mask: 0.7301, decode.d8.loss_dice: 1.1622, loss: 29.0326 2022-04-30 12:36:12,968 - mmseg - INFO - Iter [77750/80000] lr: 4.040e-08, eta: 1:09:55, time: 1.837, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7709, decode.loss_mask: 0.7515, decode.loss_dice: 1.1757, decode.d0.loss_cls: 2.5231, decode.d0.loss_mask: 0.7716, decode.d0.loss_dice: 1.3634, decode.d1.loss_cls: 0.8661, decode.d1.loss_mask: 0.7842, decode.d1.loss_dice: 1.2849, decode.d2.loss_cls: 0.8059, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.2230, decode.d3.loss_cls: 0.7898, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.2025, decode.d4.loss_cls: 0.7855, decode.d4.loss_mask: 0.7545, decode.d4.loss_dice: 1.1919, decode.d5.loss_cls: 0.7794, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.1867, decode.d6.loss_cls: 0.7814, decode.d6.loss_mask: 0.7489, decode.d6.loss_dice: 1.1806, decode.d7.loss_cls: 0.7704, decode.d7.loss_mask: 0.7529, decode.d7.loss_dice: 1.1711, decode.d8.loss_cls: 0.7692, decode.d8.loss_mask: 0.7482, decode.d8.loss_dice: 1.1741, loss: 29.3761 2022-04-30 12:37:42,534 - mmseg - INFO - Iter [77800/80000] lr: 3.950e-08, eta: 1:08:21, time: 1.790, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7601, decode.loss_mask: 0.7402, decode.loss_dice: 1.1341, decode.d0.loss_cls: 2.4794, decode.d0.loss_mask: 0.7657, decode.d0.loss_dice: 1.3181, decode.d1.loss_cls: 0.8492, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.2351, decode.d2.loss_cls: 0.7991, decode.d2.loss_mask: 0.7563, decode.d2.loss_dice: 1.1838, decode.d3.loss_cls: 0.7816, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.1594, decode.d4.loss_cls: 0.7771, decode.d4.loss_mask: 0.7493, decode.d4.loss_dice: 1.1569, decode.d5.loss_cls: 0.7705, decode.d5.loss_mask: 0.7444, decode.d5.loss_dice: 1.1488, decode.d6.loss_cls: 0.7635, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.1396, decode.d7.loss_cls: 0.7596, decode.d7.loss_mask: 0.7439, decode.d7.loss_dice: 1.1451, decode.d8.loss_cls: 0.7608, decode.d8.loss_mask: 0.7412, decode.d8.loss_dice: 1.1423, loss: 28.7778 2022-04-30 12:39:13,068 - mmseg - INFO - Iter [77850/80000] lr: 3.860e-08, eta: 1:06:48, time: 1.813, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7429, decode.loss_mask: 0.7224, decode.loss_dice: 1.1332, decode.d0.loss_cls: 2.5013, decode.d0.loss_mask: 0.7437, decode.d0.loss_dice: 1.3042, decode.d1.loss_cls: 0.8358, decode.d1.loss_mask: 0.7569, decode.d1.loss_dice: 1.2263, decode.d2.loss_cls: 0.7776, decode.d2.loss_mask: 0.7463, decode.d2.loss_dice: 1.1900, decode.d3.loss_cls: 0.7634, decode.d3.loss_mask: 0.7338, decode.d3.loss_dice: 1.1607, decode.d4.loss_cls: 0.7533, decode.d4.loss_mask: 0.7332, decode.d4.loss_dice: 1.1582, decode.d5.loss_cls: 0.7448, decode.d5.loss_mask: 0.7310, decode.d5.loss_dice: 1.1500, decode.d6.loss_cls: 0.7455, decode.d6.loss_mask: 0.7196, decode.d6.loss_dice: 1.1352, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7223, decode.d7.loss_dice: 1.1352, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7238, decode.d8.loss_dice: 1.1418, loss: 28.4198 2022-04-30 12:40:44,285 - mmseg - INFO - Iter [77900/80000] lr: 3.771e-08, eta: 1:05:15, time: 1.824, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7425, decode.loss_mask: 0.7489, decode.loss_dice: 1.1603, decode.d0.loss_cls: 2.5145, decode.d0.loss_mask: 0.7743, decode.d0.loss_dice: 1.3410, decode.d1.loss_cls: 0.8322, decode.d1.loss_mask: 0.7848, decode.d1.loss_dice: 1.2635, decode.d2.loss_cls: 0.7860, decode.d2.loss_mask: 0.7627, decode.d2.loss_dice: 1.2095, decode.d3.loss_cls: 0.7665, decode.d3.loss_mask: 0.7573, decode.d3.loss_dice: 1.1852, decode.d4.loss_cls: 0.7531, decode.d4.loss_mask: 0.7525, decode.d4.loss_dice: 1.1817, decode.d5.loss_cls: 0.7540, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.1746, decode.d6.loss_cls: 0.7476, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1643, decode.d7.loss_cls: 0.7540, decode.d7.loss_mask: 0.7476, decode.d7.loss_dice: 1.1595, decode.d8.loss_cls: 0.7498, decode.d8.loss_mask: 0.7476, decode.d8.loss_dice: 1.1576, loss: 28.9751 2022-04-30 12:42:15,000 - mmseg - INFO - Iter [77950/80000] lr: 3.681e-08, eta: 1:03:41, time: 1.814, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7819, decode.loss_mask: 0.7323, decode.loss_dice: 1.1264, decode.d0.loss_cls: 2.5610, decode.d0.loss_mask: 0.7622, decode.d0.loss_dice: 1.3041, decode.d1.loss_cls: 0.8707, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.2270, decode.d2.loss_cls: 0.8146, decode.d2.loss_mask: 0.7570, decode.d2.loss_dice: 1.1783, decode.d3.loss_cls: 0.8033, decode.d3.loss_mask: 0.7423, decode.d3.loss_dice: 1.1530, decode.d4.loss_cls: 0.7939, decode.d4.loss_mask: 0.7395, decode.d4.loss_dice: 1.1436, decode.d5.loss_cls: 0.7919, decode.d5.loss_mask: 0.7378, decode.d5.loss_dice: 1.1405, decode.d6.loss_cls: 0.7856, decode.d6.loss_mask: 0.7377, decode.d6.loss_dice: 1.1367, decode.d7.loss_cls: 0.7809, decode.d7.loss_mask: 0.7353, decode.d7.loss_dice: 1.1309, decode.d8.loss_cls: 0.7806, decode.d8.loss_mask: 0.7335, decode.d8.loss_dice: 1.1345, loss: 28.8869 2022-04-30 12:43:46,365 - mmseg - INFO - Saving checkpoint at 78000 iterations 2022-04-30 12:44:15,401 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 12:44:15,414 - mmseg - INFO - Iter [78000/80000] lr: 3.591e-08, eta: 1:02:09, time: 2.405, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7250, decode.loss_mask: 0.7386, decode.loss_dice: 1.1293, decode.d0.loss_cls: 2.4986, decode.d0.loss_mask: 0.7507, decode.d0.loss_dice: 1.3148, decode.d1.loss_cls: 0.8244, decode.d1.loss_mask: 0.7776, decode.d1.loss_dice: 1.2304, decode.d2.loss_cls: 0.7707, decode.d2.loss_mask: 0.7551, decode.d2.loss_dice: 1.1781, decode.d3.loss_cls: 0.7547, decode.d3.loss_mask: 0.7465, decode.d3.loss_dice: 1.1572, decode.d4.loss_cls: 0.7454, decode.d4.loss_mask: 0.7459, decode.d4.loss_dice: 1.1488, decode.d5.loss_cls: 0.7402, decode.d5.loss_mask: 0.7456, decode.d5.loss_dice: 1.1461, decode.d6.loss_cls: 0.7353, decode.d6.loss_mask: 0.7406, decode.d6.loss_dice: 1.1291, decode.d7.loss_cls: 0.7353, decode.d7.loss_mask: 0.7392, decode.d7.loss_dice: 1.1322, decode.d8.loss_cls: 0.7320, decode.d8.loss_mask: 0.7380, decode.d8.loss_dice: 1.1289, loss: 28.4344 2022-04-30 12:45:47,200 - mmseg - INFO - Iter [78050/80000] lr: 3.502e-08, eta: 1:00:36, time: 1.839, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7164, decode.loss_mask: 0.7453, decode.loss_dice: 1.1537, decode.d0.loss_cls: 2.4469, decode.d0.loss_mask: 0.7534, decode.d0.loss_dice: 1.3257, decode.d1.loss_cls: 0.8100, decode.d1.loss_mask: 0.7678, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 0.7613, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1924, decode.d3.loss_cls: 0.7473, decode.d3.loss_mask: 0.7471, decode.d3.loss_dice: 1.1686, decode.d4.loss_cls: 0.7443, decode.d4.loss_mask: 0.7374, decode.d4.loss_dice: 1.1604, decode.d5.loss_cls: 0.7357, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1587, decode.d6.loss_cls: 0.7257, decode.d6.loss_mask: 0.7429, decode.d6.loss_dice: 1.1504, decode.d7.loss_cls: 0.7220, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1515, decode.d8.loss_cls: 0.7215, decode.d8.loss_mask: 0.7440, decode.d8.loss_dice: 1.1537, loss: 28.4767 2022-04-30 12:47:17,725 - mmseg - INFO - Iter [78100/80000] lr: 3.412e-08, eta: 0:59:02, time: 1.811, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7502, decode.loss_mask: 0.7392, decode.loss_dice: 1.1419, decode.d0.loss_cls: 2.5003, decode.d0.loss_mask: 0.7550, decode.d0.loss_dice: 1.3153, decode.d1.loss_cls: 0.8438, decode.d1.loss_mask: 0.7666, decode.d1.loss_dice: 1.2375, decode.d2.loss_cls: 0.7823, decode.d2.loss_mask: 0.7516, decode.d2.loss_dice: 1.1902, decode.d3.loss_cls: 0.7657, decode.d3.loss_mask: 0.7444, decode.d3.loss_dice: 1.1603, decode.d4.loss_cls: 0.7636, decode.d4.loss_mask: 0.7380, decode.d4.loss_dice: 1.1530, decode.d5.loss_cls: 0.7596, decode.d5.loss_mask: 0.7384, decode.d5.loss_dice: 1.1462, decode.d6.loss_cls: 0.7543, decode.d6.loss_mask: 0.7406, decode.d6.loss_dice: 1.1415, decode.d7.loss_cls: 0.7528, decode.d7.loss_mask: 0.7389, decode.d7.loss_dice: 1.1411, decode.d8.loss_cls: 0.7492, decode.d8.loss_mask: 0.7392, decode.d8.loss_dice: 1.1430, loss: 28.6440 2022-04-30 12:48:47,764 - mmseg - INFO - Iter [78150/80000] lr: 3.322e-08, eta: 0:57:29, time: 1.801, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7058, decode.loss_mask: 0.7660, decode.loss_dice: 1.1350, decode.d0.loss_cls: 2.4409, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.2979, decode.d1.loss_cls: 0.7983, decode.d1.loss_mask: 0.7919, decode.d1.loss_dice: 1.2271, decode.d2.loss_cls: 0.7364, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.1865, decode.d3.loss_cls: 0.7253, decode.d3.loss_mask: 0.7742, decode.d3.loss_dice: 1.1563, decode.d4.loss_cls: 0.7233, decode.d4.loss_mask: 0.7715, decode.d4.loss_dice: 1.1521, decode.d5.loss_cls: 0.7164, decode.d5.loss_mask: 0.7692, decode.d5.loss_dice: 1.1490, decode.d6.loss_cls: 0.7104, decode.d6.loss_mask: 0.7676, decode.d6.loss_dice: 1.1354, decode.d7.loss_cls: 0.7046, decode.d7.loss_mask: 0.7641, decode.d7.loss_dice: 1.1344, decode.d8.loss_cls: 0.7039, decode.d8.loss_mask: 0.7661, decode.d8.loss_dice: 1.1391, loss: 28.4034 2022-04-30 12:50:17,820 - mmseg - INFO - Iter [78200/80000] lr: 3.232e-08, eta: 0:55:56, time: 1.801, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7399, decode.loss_mask: 0.7274, decode.loss_dice: 1.1265, decode.d0.loss_cls: 2.5512, decode.d0.loss_mask: 0.7444, decode.d0.loss_dice: 1.3045, decode.d1.loss_cls: 0.8429, decode.d1.loss_mask: 0.7642, decode.d1.loss_dice: 1.2356, decode.d2.loss_cls: 0.7746, decode.d2.loss_mask: 0.7471, decode.d2.loss_dice: 1.1833, decode.d3.loss_cls: 0.7521, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.1554, decode.d4.loss_cls: 0.7489, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.1513, decode.d5.loss_cls: 0.7421, decode.d5.loss_mask: 0.7357, decode.d5.loss_dice: 1.1444, decode.d6.loss_cls: 0.7451, decode.d6.loss_mask: 0.7325, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7396, decode.d7.loss_mask: 0.7305, decode.d7.loss_dice: 1.1295, decode.d8.loss_cls: 0.7372, decode.d8.loss_mask: 0.7268, decode.d8.loss_dice: 1.1242, loss: 28.4497 2022-04-30 12:51:49,418 - mmseg - INFO - Iter [78250/80000] lr: 3.143e-08, eta: 0:54:22, time: 1.832, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7300, decode.loss_mask: 0.7415, decode.loss_dice: 1.1261, decode.d0.loss_cls: 2.4603, decode.d0.loss_mask: 0.7647, decode.d0.loss_dice: 1.2979, decode.d1.loss_cls: 0.8258, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.2302, decode.d2.loss_cls: 0.7723, decode.d2.loss_mask: 0.7564, decode.d2.loss_dice: 1.1693, decode.d3.loss_cls: 0.7609, decode.d3.loss_mask: 0.7473, decode.d3.loss_dice: 1.1431, decode.d4.loss_cls: 0.7452, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1347, decode.d5.loss_cls: 0.7398, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.1363, decode.d6.loss_cls: 0.7355, decode.d6.loss_mask: 0.7393, decode.d6.loss_dice: 1.1197, decode.d7.loss_cls: 0.7254, decode.d7.loss_mask: 0.7442, decode.d7.loss_dice: 1.1331, decode.d8.loss_cls: 0.7322, decode.d8.loss_mask: 0.7396, decode.d8.loss_dice: 1.1247, loss: 28.3381 2022-04-30 12:53:19,650 - mmseg - INFO - Iter [78300/80000] lr: 3.053e-08, eta: 0:52:49, time: 1.804, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7187, decode.loss_mask: 0.7446, decode.loss_dice: 1.1424, decode.d0.loss_cls: 2.4768, decode.d0.loss_mask: 0.7616, decode.d0.loss_dice: 1.3032, decode.d1.loss_cls: 0.8122, decode.d1.loss_mask: 0.7738, decode.d1.loss_dice: 1.2343, decode.d2.loss_cls: 0.7535, decode.d2.loss_mask: 0.7588, decode.d2.loss_dice: 1.1845, decode.d3.loss_cls: 0.7448, decode.d3.loss_mask: 0.7541, decode.d3.loss_dice: 1.1647, decode.d4.loss_cls: 0.7308, decode.d4.loss_mask: 0.7570, decode.d4.loss_dice: 1.1674, decode.d5.loss_cls: 0.7287, decode.d5.loss_mask: 0.7517, decode.d5.loss_dice: 1.1574, decode.d6.loss_cls: 0.7275, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.1466, decode.d7.loss_cls: 0.7231, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.1436, decode.d8.loss_cls: 0.7223, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.1436, loss: 28.4735 2022-04-30 12:54:50,021 - mmseg - INFO - Iter [78350/80000] lr: 2.963e-08, eta: 0:51:16, time: 1.808, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7182, decode.loss_mask: 0.7236, decode.loss_dice: 1.1325, decode.d0.loss_cls: 2.4815, decode.d0.loss_mask: 0.7475, decode.d0.loss_dice: 1.3016, decode.d1.loss_cls: 0.8145, decode.d1.loss_mask: 0.7607, decode.d1.loss_dice: 1.2287, decode.d2.loss_cls: 0.7641, decode.d2.loss_mask: 0.7452, decode.d2.loss_dice: 1.1777, decode.d3.loss_cls: 0.7427, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.1560, decode.d4.loss_cls: 0.7335, decode.d4.loss_mask: 0.7325, decode.d4.loss_dice: 1.1542, decode.d5.loss_cls: 0.7308, decode.d5.loss_mask: 0.7284, decode.d5.loss_dice: 1.1448, decode.d6.loss_cls: 0.7297, decode.d6.loss_mask: 0.7228, decode.d6.loss_dice: 1.1291, decode.d7.loss_cls: 0.7224, decode.d7.loss_mask: 0.7261, decode.d7.loss_dice: 1.1311, decode.d8.loss_cls: 0.7195, decode.d8.loss_mask: 0.7231, decode.d8.loss_dice: 1.1273, loss: 28.1848 2022-04-30 12:56:21,073 - mmseg - INFO - Iter [78400/80000] lr: 2.873e-08, eta: 0:49:43, time: 1.821, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7544, decode.loss_mask: 0.7421, decode.loss_dice: 1.1652, decode.d0.loss_cls: 2.4944, decode.d0.loss_mask: 0.7603, decode.d0.loss_dice: 1.3318, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.7673, decode.d1.loss_dice: 1.2509, decode.d2.loss_cls: 0.7940, decode.d2.loss_mask: 0.7529, decode.d2.loss_dice: 1.2017, decode.d3.loss_cls: 0.7742, decode.d3.loss_mask: 0.7472, decode.d3.loss_dice: 1.1810, decode.d4.loss_cls: 0.7615, decode.d4.loss_mask: 0.7486, decode.d4.loss_dice: 1.1796, decode.d5.loss_cls: 0.7625, decode.d5.loss_mask: 0.7400, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 0.7539, decode.d6.loss_mask: 0.7429, decode.d6.loss_dice: 1.1573, decode.d7.loss_cls: 0.7516, decode.d7.loss_mask: 0.7401, decode.d7.loss_dice: 1.1639, decode.d8.loss_cls: 0.7495, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.1613, loss: 28.8960 2022-04-30 12:57:50,824 - mmseg - INFO - Iter [78450/80000] lr: 2.784e-08, eta: 0:48:09, time: 1.795, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7731, decode.loss_mask: 0.7225, decode.loss_dice: 1.1330, decode.d0.loss_cls: 2.5744, decode.d0.loss_mask: 0.7366, decode.d0.loss_dice: 1.3252, decode.d1.loss_cls: 0.8577, decode.d1.loss_mask: 0.7648, decode.d1.loss_dice: 1.2524, decode.d2.loss_cls: 0.8024, decode.d2.loss_mask: 0.7497, decode.d2.loss_dice: 1.1955, decode.d3.loss_cls: 0.7877, decode.d3.loss_mask: 0.7350, decode.d3.loss_dice: 1.1668, decode.d4.loss_cls: 0.7765, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.1565, decode.d5.loss_cls: 0.7734, decode.d5.loss_mask: 0.7267, decode.d5.loss_dice: 1.1515, decode.d6.loss_cls: 0.7712, decode.d6.loss_mask: 0.7284, decode.d6.loss_dice: 1.1429, decode.d7.loss_cls: 0.7744, decode.d7.loss_mask: 0.7250, decode.d7.loss_dice: 1.1344, decode.d8.loss_cls: 0.7715, decode.d8.loss_mask: 0.7236, decode.d8.loss_dice: 1.1378, loss: 28.8030 2022-04-30 12:59:19,712 - mmseg - INFO - Iter [78500/80000] lr: 2.694e-08, eta: 0:46:36, time: 1.778, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7560, decode.loss_mask: 0.7199, decode.loss_dice: 1.1334, decode.d0.loss_cls: 2.4978, decode.d0.loss_mask: 0.7479, decode.d0.loss_dice: 1.3143, decode.d1.loss_cls: 0.8617, decode.d1.loss_mask: 0.7585, decode.d1.loss_dice: 1.2411, decode.d2.loss_cls: 0.7962, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.1889, decode.d3.loss_cls: 0.7808, decode.d3.loss_mask: 0.7339, decode.d3.loss_dice: 1.1653, decode.d4.loss_cls: 0.7705, decode.d4.loss_mask: 0.7327, decode.d4.loss_dice: 1.1567, decode.d5.loss_cls: 0.7689, decode.d5.loss_mask: 0.7305, decode.d5.loss_dice: 1.1539, decode.d6.loss_cls: 0.7606, decode.d6.loss_mask: 0.7224, decode.d6.loss_dice: 1.1383, decode.d7.loss_cls: 0.7602, decode.d7.loss_mask: 0.7249, decode.d7.loss_dice: 1.1429, decode.d8.loss_cls: 0.7597, decode.d8.loss_mask: 0.7220, decode.d8.loss_dice: 1.1337, loss: 28.6152 2022-04-30 13:00:49,015 - mmseg - INFO - Iter [78550/80000] lr: 2.604e-08, eta: 0:45:03, time: 1.786, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7031, decode.loss_mask: 0.7326, decode.loss_dice: 1.1106, decode.d0.loss_cls: 2.4444, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.2858, decode.d1.loss_cls: 0.8080, decode.d1.loss_mask: 0.7785, decode.d1.loss_dice: 1.2070, decode.d2.loss_cls: 0.7450, decode.d2.loss_mask: 0.7531, decode.d2.loss_dice: 1.1595, decode.d3.loss_cls: 0.7330, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1349, decode.d4.loss_cls: 0.7225, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.1322, decode.d5.loss_cls: 0.7183, decode.d5.loss_mask: 0.7407, decode.d5.loss_dice: 1.1210, decode.d6.loss_cls: 0.7139, decode.d6.loss_mask: 0.7361, decode.d6.loss_dice: 1.1129, decode.d7.loss_cls: 0.7051, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.1111, decode.d8.loss_cls: 0.7083, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.1127, loss: 27.9574 2022-04-30 13:02:20,755 - mmseg - INFO - Iter [78600/80000] lr: 2.514e-08, eta: 0:43:30, time: 1.833, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7388, decode.loss_mask: 0.7308, decode.loss_dice: 1.1365, decode.d0.loss_cls: 2.4952, decode.d0.loss_mask: 0.7451, decode.d0.loss_dice: 1.3149, decode.d1.loss_cls: 0.8362, decode.d1.loss_mask: 0.7626, decode.d1.loss_dice: 1.2435, decode.d2.loss_cls: 0.7752, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1902, decode.d3.loss_cls: 0.7582, decode.d3.loss_mask: 0.7375, decode.d3.loss_dice: 1.1591, decode.d4.loss_cls: 0.7516, decode.d4.loss_mask: 0.7342, decode.d4.loss_dice: 1.1565, decode.d5.loss_cls: 0.7444, decode.d5.loss_mask: 0.7346, decode.d5.loss_dice: 1.1471, decode.d6.loss_cls: 0.7411, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1458, decode.d7.loss_cls: 0.7356, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.1411, decode.d8.loss_cls: 0.7410, decode.d8.loss_mask: 0.7322, decode.d8.loss_dice: 1.1389, loss: 28.4804 2022-04-30 13:03:51,672 - mmseg - INFO - Iter [78650/80000] lr: 2.425e-08, eta: 0:41:56, time: 1.821, data_time: 0.016, memory: 64979, decode.loss_cls: 0.7156, decode.loss_mask: 0.7402, decode.loss_dice: 1.1372, decode.d0.loss_cls: 2.4378, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.3103, decode.d1.loss_cls: 0.8087, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2353, decode.d2.loss_cls: 0.7508, decode.d2.loss_mask: 0.7649, decode.d2.loss_dice: 1.1847, decode.d3.loss_cls: 0.7284, decode.d3.loss_mask: 0.7537, decode.d3.loss_dice: 1.1513, decode.d4.loss_cls: 0.7200, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.1571, decode.d5.loss_cls: 0.7205, decode.d5.loss_mask: 0.7502, decode.d5.loss_dice: 1.1543, decode.d6.loss_cls: 0.7164, decode.d6.loss_mask: 0.7437, decode.d6.loss_dice: 1.1392, decode.d7.loss_cls: 0.7048, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.1430, decode.d8.loss_cls: 0.7116, decode.d8.loss_mask: 0.7439, decode.d8.loss_dice: 1.1346, loss: 28.3043 2022-04-30 13:05:20,970 - mmseg - INFO - Iter [78700/80000] lr: 2.335e-08, eta: 0:40:23, time: 1.786, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7860, decode.loss_mask: 0.7423, decode.loss_dice: 1.1623, decode.d0.loss_cls: 2.5427, decode.d0.loss_mask: 0.7627, decode.d0.loss_dice: 1.3336, decode.d1.loss_cls: 0.8726, decode.d1.loss_mask: 0.7742, decode.d1.loss_dice: 1.2574, decode.d2.loss_cls: 0.8147, decode.d2.loss_mask: 0.7537, decode.d2.loss_dice: 1.2012, decode.d3.loss_cls: 0.7990, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1793, decode.d4.loss_cls: 0.7968, decode.d4.loss_mask: 0.7442, decode.d4.loss_dice: 1.1739, decode.d5.loss_cls: 0.7934, decode.d5.loss_mask: 0.7452, decode.d5.loss_dice: 1.1692, decode.d6.loss_cls: 0.7864, decode.d6.loss_mask: 0.7462, decode.d6.loss_dice: 1.1626, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7456, decode.d7.loss_dice: 1.1659, decode.d8.loss_cls: 0.7822, decode.d8.loss_mask: 0.7433, decode.d8.loss_dice: 1.1584, loss: 29.2279 2022-04-30 13:06:51,221 - mmseg - INFO - Iter [78750/80000] lr: 2.245e-08, eta: 0:38:50, time: 1.803, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7742, decode.loss_mask: 0.7386, decode.loss_dice: 1.1630, decode.d0.loss_cls: 2.5288, decode.d0.loss_mask: 0.7537, decode.d0.loss_dice: 1.3538, decode.d1.loss_cls: 0.8689, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.2682, decode.d2.loss_cls: 0.8116, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2162, decode.d3.loss_cls: 0.8019, decode.d3.loss_mask: 0.7514, decode.d3.loss_dice: 1.1833, decode.d4.loss_cls: 0.7917, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.1804, decode.d5.loss_cls: 0.7840, decode.d5.loss_mask: 0.7461, decode.d5.loss_dice: 1.1783, decode.d6.loss_cls: 0.7817, decode.d6.loss_mask: 0.7415, decode.d6.loss_dice: 1.1595, decode.d7.loss_cls: 0.7738, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.1657, decode.d8.loss_cls: 0.7749, decode.d8.loss_mask: 0.7370, decode.d8.loss_dice: 1.1646, loss: 29.2131 2022-04-30 13:08:22,191 - mmseg - INFO - Iter [78800/80000] lr: 2.155e-08, eta: 0:37:16, time: 1.821, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7729, decode.loss_mask: 0.7581, decode.loss_dice: 1.1581, decode.d0.loss_cls: 2.5406, decode.d0.loss_mask: 0.7783, decode.d0.loss_dice: 1.3476, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.7938, decode.d1.loss_dice: 1.2615, decode.d2.loss_cls: 0.8157, decode.d2.loss_mask: 0.7763, decode.d2.loss_dice: 1.2062, decode.d3.loss_cls: 0.7924, decode.d3.loss_mask: 0.7659, decode.d3.loss_dice: 1.1817, decode.d4.loss_cls: 0.7908, decode.d4.loss_mask: 0.7681, decode.d4.loss_dice: 1.1765, decode.d5.loss_cls: 0.7795, decode.d5.loss_mask: 0.7647, decode.d5.loss_dice: 1.1720, decode.d6.loss_cls: 0.7761, decode.d6.loss_mask: 0.7585, decode.d6.loss_dice: 1.1592, decode.d7.loss_cls: 0.7755, decode.d7.loss_mask: 0.7554, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.7736, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.1616, loss: 29.3494 2022-04-30 13:09:53,304 - mmseg - INFO - Iter [78850/80000] lr: 2.066e-08, eta: 0:35:43, time: 1.822, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7712, decode.loss_mask: 0.7341, decode.loss_dice: 1.1694, decode.d0.loss_cls: 2.5714, decode.d0.loss_mask: 0.7507, decode.d0.loss_dice: 1.3547, decode.d1.loss_cls: 0.8618, decode.d1.loss_mask: 0.7751, decode.d1.loss_dice: 1.2797, decode.d2.loss_cls: 0.8125, decode.d2.loss_mask: 0.7525, decode.d2.loss_dice: 1.2168, decode.d3.loss_cls: 0.7970, decode.d3.loss_mask: 0.7425, decode.d3.loss_dice: 1.1905, decode.d4.loss_cls: 0.7847, decode.d4.loss_mask: 0.7423, decode.d4.loss_dice: 1.1853, decode.d5.loss_cls: 0.7822, decode.d5.loss_mask: 0.7401, decode.d5.loss_dice: 1.1794, decode.d6.loss_cls: 0.7735, decode.d6.loss_mask: 0.7374, decode.d6.loss_dice: 1.1731, decode.d7.loss_cls: 0.7772, decode.d7.loss_mask: 0.7328, decode.d7.loss_dice: 1.1683, decode.d8.loss_cls: 0.7713, decode.d8.loss_mask: 0.7349, decode.d8.loss_dice: 1.1664, loss: 29.2289 2022-04-30 13:11:23,131 - mmseg - INFO - Iter [78900/80000] lr: 1.976e-08, eta: 0:34:10, time: 1.796, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7597, decode.loss_mask: 0.7506, decode.loss_dice: 1.1737, decode.d0.loss_cls: 2.5187, decode.d0.loss_mask: 0.7685, decode.d0.loss_dice: 1.3497, decode.d1.loss_cls: 0.8488, decode.d1.loss_mask: 0.7829, decode.d1.loss_dice: 1.2786, decode.d2.loss_cls: 0.7872, decode.d2.loss_mask: 0.7722, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 0.7782, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 0.7672, decode.d4.loss_mask: 0.7550, decode.d4.loss_dice: 1.1921, decode.d5.loss_cls: 0.7652, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1864, decode.d6.loss_cls: 0.7627, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.1787, decode.d7.loss_cls: 0.7643, decode.d7.loss_mask: 0.7491, decode.d7.loss_dice: 1.1773, decode.d8.loss_cls: 0.7623, decode.d8.loss_mask: 0.7535, decode.d8.loss_dice: 1.1736, loss: 29.2371 2022-04-30 13:12:54,004 - mmseg - INFO - Iter [78950/80000] lr: 1.886e-08, eta: 0:32:37, time: 1.818, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7727, decode.loss_mask: 0.7222, decode.loss_dice: 1.1349, decode.d0.loss_cls: 2.5474, decode.d0.loss_mask: 0.7370, decode.d0.loss_dice: 1.3161, decode.d1.loss_cls: 0.8784, decode.d1.loss_mask: 0.7588, decode.d1.loss_dice: 1.2347, decode.d2.loss_cls: 0.8139, decode.d2.loss_mask: 0.7466, decode.d2.loss_dice: 1.1848, decode.d3.loss_cls: 0.7903, decode.d3.loss_mask: 0.7372, decode.d3.loss_dice: 1.1611, decode.d4.loss_cls: 0.7829, decode.d4.loss_mask: 0.7350, decode.d4.loss_dice: 1.1551, decode.d5.loss_cls: 0.7870, decode.d5.loss_mask: 0.7262, decode.d5.loss_dice: 1.1502, decode.d6.loss_cls: 0.7757, decode.d6.loss_mask: 0.7235, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.7755, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.1422, decode.d8.loss_cls: 0.7731, decode.d8.loss_mask: 0.7246, decode.d8.loss_dice: 1.1390, loss: 28.7896 2022-04-30 13:14:24,511 - mmseg - INFO - Saving checkpoint at 79000 iterations 2022-04-30 13:14:43,176 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 13:14:43,179 - mmseg - INFO - Iter [79000/80000] lr: 1.797e-08, eta: 0:31:04, time: 2.181, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7442, decode.loss_mask: 0.7314, decode.loss_dice: 1.1296, decode.d0.loss_cls: 2.5088, decode.d0.loss_mask: 0.7518, decode.d0.loss_dice: 1.3014, decode.d1.loss_cls: 0.8398, decode.d1.loss_mask: 0.7674, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 0.7784, decode.d2.loss_mask: 0.7546, decode.d2.loss_dice: 1.1788, decode.d3.loss_cls: 0.7622, decode.d3.loss_mask: 0.7455, decode.d3.loss_dice: 1.1515, decode.d4.loss_cls: 0.7547, decode.d4.loss_mask: 0.7417, decode.d4.loss_dice: 1.1465, decode.d5.loss_cls: 0.7543, decode.d5.loss_mask: 0.7368, decode.d5.loss_dice: 1.1380, decode.d6.loss_cls: 0.7473, decode.d6.loss_mask: 0.7316, decode.d6.loss_dice: 1.1273, decode.d7.loss_cls: 0.7484, decode.d7.loss_mask: 0.7276, decode.d7.loss_dice: 1.1217, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7338, decode.d8.loss_dice: 1.1319, loss: 28.4564 2022-04-30 13:16:13,363 - mmseg - INFO - Iter [79050/80000] lr: 1.707e-08, eta: 0:29:31, time: 1.806, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7594, decode.loss_mask: 0.7501, decode.loss_dice: 1.1545, decode.d0.loss_cls: 2.5124, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.3321, decode.d1.loss_cls: 0.8569, decode.d1.loss_mask: 0.7884, decode.d1.loss_dice: 1.2529, decode.d2.loss_cls: 0.7981, decode.d2.loss_mask: 0.7739, decode.d2.loss_dice: 1.1958, decode.d3.loss_cls: 0.7866, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 0.7784, decode.d4.loss_mask: 0.7540, decode.d4.loss_dice: 1.1709, decode.d5.loss_cls: 0.7713, decode.d5.loss_mask: 0.7569, decode.d5.loss_dice: 1.1665, decode.d6.loss_cls: 0.7687, decode.d6.loss_mask: 0.7478, decode.d6.loss_dice: 1.1502, decode.d7.loss_cls: 0.7658, decode.d7.loss_mask: 0.7482, decode.d7.loss_dice: 1.1563, decode.d8.loss_cls: 0.7613, decode.d8.loss_mask: 0.7493, decode.d8.loss_dice: 1.1513, loss: 29.0615 2022-04-30 13:17:44,989 - mmseg - INFO - Iter [79100/80000] lr: 1.617e-08, eta: 0:27:57, time: 1.833, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7645, decode.loss_mask: 0.7335, decode.loss_dice: 1.1439, decode.d0.loss_cls: 2.5388, decode.d0.loss_mask: 0.7497, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 0.8643, decode.d1.loss_mask: 0.7659, decode.d1.loss_dice: 1.2470, decode.d2.loss_cls: 0.8085, decode.d2.loss_mask: 0.7495, decode.d2.loss_dice: 1.1938, decode.d3.loss_cls: 0.7873, decode.d3.loss_mask: 0.7418, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.7812, decode.d4.loss_mask: 0.7408, decode.d4.loss_dice: 1.1640, decode.d5.loss_cls: 0.7765, decode.d5.loss_mask: 0.7373, decode.d5.loss_dice: 1.1595, decode.d6.loss_cls: 0.7651, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.1508, decode.d7.loss_cls: 0.7658, decode.d7.loss_mask: 0.7322, decode.d7.loss_dice: 1.1501, decode.d8.loss_cls: 0.7654, decode.d8.loss_mask: 0.7329, decode.d8.loss_dice: 1.1480, loss: 28.8812 2022-04-30 13:19:16,497 - mmseg - INFO - Iter [79150/80000] lr: 1.527e-08, eta: 0:26:24, time: 1.829, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7389, decode.loss_mask: 0.7544, decode.loss_dice: 1.1326, decode.d0.loss_cls: 2.5173, decode.d0.loss_mask: 0.7731, decode.d0.loss_dice: 1.3158, decode.d1.loss_cls: 0.8326, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.2301, decode.d2.loss_cls: 0.7745, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.1853, decode.d3.loss_cls: 0.7592, decode.d3.loss_mask: 0.7627, decode.d3.loss_dice: 1.1563, decode.d4.loss_cls: 0.7462, decode.d4.loss_mask: 0.7673, decode.d4.loss_dice: 1.1581, decode.d5.loss_cls: 0.7496, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.1448, decode.d6.loss_cls: 0.7419, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.1336, decode.d7.loss_cls: 0.7376, decode.d7.loss_mask: 0.7587, decode.d7.loss_dice: 1.1358, decode.d8.loss_cls: 0.7325, decode.d8.loss_mask: 0.7552, decode.d8.loss_dice: 1.1364, loss: 28.7151 2022-04-30 13:20:47,850 - mmseg - INFO - Iter [79200/80000] lr: 1.438e-08, eta: 0:24:51, time: 1.829, data_time: 0.017, memory: 64979, decode.loss_cls: 0.7315, decode.loss_mask: 0.7322, decode.loss_dice: 1.1375, decode.d0.loss_cls: 2.4760, decode.d0.loss_mask: 0.7554, decode.d0.loss_dice: 1.3120, decode.d1.loss_cls: 0.8249, decode.d1.loss_mask: 0.7701, decode.d1.loss_dice: 1.2407, decode.d2.loss_cls: 0.7636, decode.d2.loss_mask: 0.7557, decode.d2.loss_dice: 1.1931, decode.d3.loss_cls: 0.7456, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.1648, decode.d4.loss_cls: 0.7302, decode.d4.loss_mask: 0.7416, decode.d4.loss_dice: 1.1685, decode.d5.loss_cls: 0.7368, decode.d5.loss_mask: 0.7370, decode.d5.loss_dice: 1.1510, decode.d6.loss_cls: 0.7326, decode.d6.loss_mask: 0.7316, decode.d6.loss_dice: 1.1411, decode.d7.loss_cls: 0.7286, decode.d7.loss_mask: 0.7321, decode.d7.loss_dice: 1.1428, decode.d8.loss_cls: 0.7252, decode.d8.loss_mask: 0.7336, decode.d8.loss_dice: 1.1429, loss: 28.4216 2022-04-30 13:22:19,166 - mmseg - INFO - Iter [79250/80000] lr: 1.348e-08, eta: 0:23:18, time: 1.826, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7582, decode.loss_mask: 0.7529, decode.loss_dice: 1.1377, decode.d0.loss_cls: 2.4871, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.3117, decode.d1.loss_cls: 0.8640, decode.d1.loss_mask: 0.7824, decode.d1.loss_dice: 1.2312, decode.d2.loss_cls: 0.7940, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1875, decode.d3.loss_cls: 0.7755, decode.d3.loss_mask: 0.7653, decode.d3.loss_dice: 1.1643, decode.d4.loss_cls: 0.7681, decode.d4.loss_mask: 0.7617, decode.d4.loss_dice: 1.1567, decode.d5.loss_cls: 0.7680, decode.d5.loss_mask: 0.7548, decode.d5.loss_dice: 1.1525, decode.d6.loss_cls: 0.7570, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.1455, decode.d7.loss_cls: 0.7545, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.1478, decode.d8.loss_cls: 0.7576, decode.d8.loss_mask: 0.7559, decode.d8.loss_dice: 1.1407, loss: 28.8903 2022-04-30 13:23:50,414 - mmseg - INFO - Iter [79300/80000] lr: 1.258e-08, eta: 0:21:44, time: 1.825, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7404, decode.loss_mask: 0.7202, decode.loss_dice: 1.1557, decode.d0.loss_cls: 2.5378, decode.d0.loss_mask: 0.7366, decode.d0.loss_dice: 1.3325, decode.d1.loss_cls: 0.8371, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.2619, decode.d2.loss_cls: 0.7792, decode.d2.loss_mask: 0.7406, decode.d2.loss_dice: 1.2041, decode.d3.loss_cls: 0.7630, decode.d3.loss_mask: 0.7278, decode.d3.loss_dice: 1.1746, decode.d4.loss_cls: 0.7588, decode.d4.loss_mask: 0.7275, decode.d4.loss_dice: 1.1731, decode.d5.loss_cls: 0.7522, decode.d5.loss_mask: 0.7284, decode.d5.loss_dice: 1.1611, decode.d6.loss_cls: 0.7467, decode.d6.loss_mask: 0.7229, decode.d6.loss_dice: 1.1562, decode.d7.loss_cls: 0.7404, decode.d7.loss_mask: 0.7219, decode.d7.loss_dice: 1.1567, decode.d8.loss_cls: 0.7401, decode.d8.loss_mask: 0.7222, decode.d8.loss_dice: 1.1547, loss: 28.6384 2022-04-30 13:25:21,893 - mmseg - INFO - Iter [79350/80000] lr: 1.168e-08, eta: 0:20:11, time: 1.830, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7620, decode.loss_mask: 0.7367, decode.loss_dice: 1.1677, decode.d0.loss_cls: 2.5522, decode.d0.loss_mask: 0.7451, decode.d0.loss_dice: 1.3407, decode.d1.loss_cls: 0.8487, decode.d1.loss_mask: 0.7692, decode.d1.loss_dice: 1.2640, decode.d2.loss_cls: 0.7926, decode.d2.loss_mask: 0.7582, decode.d2.loss_dice: 1.2164, decode.d3.loss_cls: 0.7808, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.1913, decode.d4.loss_cls: 0.7718, decode.d4.loss_mask: 0.7502, decode.d4.loss_dice: 1.1863, decode.d5.loss_cls: 0.7665, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.1807, decode.d6.loss_cls: 0.7594, decode.d6.loss_mask: 0.7429, decode.d6.loss_dice: 1.1720, decode.d7.loss_cls: 0.7584, decode.d7.loss_mask: 0.7414, decode.d7.loss_dice: 1.1768, decode.d8.loss_cls: 0.7592, decode.d8.loss_mask: 0.7384, decode.d8.loss_dice: 1.1699, loss: 29.0969 2022-04-30 13:26:51,848 - mmseg - INFO - Iter [79400/80000] lr: 1.079e-08, eta: 0:18:38, time: 1.799, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7456, decode.loss_mask: 0.7698, decode.loss_dice: 1.1557, decode.d0.loss_cls: 2.4975, decode.d0.loss_mask: 0.7833, decode.d0.loss_dice: 1.3299, decode.d1.loss_cls: 0.8433, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.2556, decode.d2.loss_cls: 0.7855, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.2062, decode.d3.loss_cls: 0.7708, decode.d3.loss_mask: 0.7776, decode.d3.loss_dice: 1.1791, decode.d4.loss_cls: 0.7662, decode.d4.loss_mask: 0.7737, decode.d4.loss_dice: 1.1707, decode.d5.loss_cls: 0.7549, decode.d5.loss_mask: 0.7735, decode.d5.loss_dice: 1.1692, decode.d6.loss_cls: 0.7497, decode.d6.loss_mask: 0.7725, decode.d6.loss_dice: 1.1564, decode.d7.loss_cls: 0.7477, decode.d7.loss_mask: 0.7738, decode.d7.loss_dice: 1.1607, decode.d8.loss_cls: 0.7471, decode.d8.loss_mask: 0.7699, decode.d8.loss_dice: 1.1553, loss: 29.1394 2022-04-30 13:28:21,530 - mmseg - INFO - Iter [79450/80000] lr: 9.889e-09, eta: 0:17:05, time: 1.794, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7213, decode.loss_mask: 0.7199, decode.loss_dice: 1.1264, decode.d0.loss_cls: 2.4702, decode.d0.loss_mask: 0.7362, decode.d0.loss_dice: 1.2933, decode.d1.loss_cls: 0.8280, decode.d1.loss_mask: 0.7557, decode.d1.loss_dice: 1.2289, decode.d2.loss_cls: 0.7641, decode.d2.loss_mask: 0.7383, decode.d2.loss_dice: 1.1713, decode.d3.loss_cls: 0.7428, decode.d3.loss_mask: 0.7323, decode.d3.loss_dice: 1.1451, decode.d4.loss_cls: 0.7324, decode.d4.loss_mask: 0.7287, decode.d4.loss_dice: 1.1421, decode.d5.loss_cls: 0.7227, decode.d5.loss_mask: 0.7231, decode.d5.loss_dice: 1.1368, decode.d6.loss_cls: 0.7255, decode.d6.loss_mask: 0.7186, decode.d6.loss_dice: 1.1258, decode.d7.loss_cls: 0.7240, decode.d7.loss_mask: 0.7164, decode.d7.loss_dice: 1.1228, decode.d8.loss_cls: 0.7202, decode.d8.loss_mask: 0.7196, decode.d8.loss_dice: 1.1238, loss: 28.0561 2022-04-30 13:29:51,082 - mmseg - INFO - Iter [79500/80000] lr: 8.992e-09, eta: 0:15:31, time: 1.789, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7399, decode.loss_mask: 0.7422, decode.loss_dice: 1.1167, decode.d0.loss_cls: 2.4908, decode.d0.loss_mask: 0.7633, decode.d0.loss_dice: 1.3043, decode.d1.loss_cls: 0.8270, decode.d1.loss_mask: 0.7835, decode.d1.loss_dice: 1.2153, decode.d2.loss_cls: 0.7726, decode.d2.loss_mask: 0.7584, decode.d2.loss_dice: 1.1592, decode.d3.loss_cls: 0.7559, decode.d3.loss_mask: 0.7460, decode.d3.loss_dice: 1.1356, decode.d4.loss_cls: 0.7477, decode.d4.loss_mask: 0.7468, decode.d4.loss_dice: 1.1363, decode.d5.loss_cls: 0.7501, decode.d5.loss_mask: 0.7448, decode.d5.loss_dice: 1.1265, decode.d6.loss_cls: 0.7357, decode.d6.loss_mask: 0.7454, decode.d6.loss_dice: 1.1171, decode.d7.loss_cls: 0.7404, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.1172, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7447, decode.d8.loss_dice: 1.1168, loss: 28.3624 2022-04-30 13:31:22,742 - mmseg - INFO - Iter [79550/80000] lr: 8.094e-09, eta: 0:13:58, time: 1.835, data_time: 0.015, memory: 64979, decode.loss_cls: 0.7499, decode.loss_mask: 0.7432, decode.loss_dice: 1.1591, decode.d0.loss_cls: 2.5047, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.3399, decode.d1.loss_cls: 0.8353, decode.d1.loss_mask: 0.7801, decode.d1.loss_dice: 1.2659, decode.d2.loss_cls: 0.7807, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.2059, decode.d3.loss_cls: 0.7694, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.1791, decode.d4.loss_cls: 0.7610, decode.d4.loss_mask: 0.7514, decode.d4.loss_dice: 1.1761, decode.d5.loss_cls: 0.7543, decode.d5.loss_mask: 0.7489, decode.d5.loss_dice: 1.1708, decode.d6.loss_cls: 0.7540, decode.d6.loss_mask: 0.7445, decode.d6.loss_dice: 1.1556, decode.d7.loss_cls: 0.7502, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.1615, decode.d8.loss_cls: 0.7520, decode.d8.loss_mask: 0.7462, decode.d8.loss_dice: 1.1571, loss: 28.9267 2022-04-30 13:32:52,618 - mmseg - INFO - Iter [79600/80000] lr: 7.197e-09, eta: 0:12:25, time: 1.798, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7575, decode.loss_mask: 0.7225, decode.loss_dice: 1.1501, decode.d0.loss_cls: 2.5212, decode.d0.loss_mask: 0.7554, decode.d0.loss_dice: 1.3436, decode.d1.loss_cls: 0.8523, decode.d1.loss_mask: 0.7637, decode.d1.loss_dice: 1.2558, decode.d2.loss_cls: 0.7881, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.2023, decode.d3.loss_cls: 0.7769, decode.d3.loss_mask: 0.7387, decode.d3.loss_dice: 1.1709, decode.d4.loss_cls: 0.7593, decode.d4.loss_mask: 0.7380, decode.d4.loss_dice: 1.1734, decode.d5.loss_cls: 0.7619, decode.d5.loss_mask: 0.7330, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.7558, decode.d6.loss_mask: 0.7258, decode.d6.loss_dice: 1.1574, decode.d7.loss_cls: 0.7590, decode.d7.loss_mask: 0.7278, decode.d7.loss_dice: 1.1581, decode.d8.loss_cls: 0.7524, decode.d8.loss_mask: 0.7309, decode.d8.loss_dice: 1.1591, loss: 28.8059 2022-04-30 13:34:23,471 - mmseg - INFO - Iter [79650/80000] lr: 6.300e-09, eta: 0:10:52, time: 1.817, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7594, decode.loss_mask: 0.7392, decode.loss_dice: 1.1474, decode.d0.loss_cls: 2.4760, decode.d0.loss_mask: 0.7583, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 0.8676, decode.d1.loss_mask: 0.7695, decode.d1.loss_dice: 1.2392, decode.d2.loss_cls: 0.7995, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.1887, decode.d3.loss_cls: 0.7808, decode.d3.loss_mask: 0.7508, decode.d3.loss_dice: 1.1679, decode.d4.loss_cls: 0.7684, decode.d4.loss_mask: 0.7450, decode.d4.loss_dice: 1.1662, decode.d5.loss_cls: 0.7697, decode.d5.loss_mask: 0.7422, decode.d5.loss_dice: 1.1578, decode.d6.loss_cls: 0.7663, decode.d6.loss_mask: 0.7371, decode.d6.loss_dice: 1.1464, decode.d7.loss_cls: 0.7597, decode.d7.loss_mask: 0.7382, decode.d7.loss_dice: 1.1514, decode.d8.loss_cls: 0.7603, decode.d8.loss_mask: 0.7360, decode.d8.loss_dice: 1.1467, loss: 28.8161 2022-04-30 13:35:53,045 - mmseg - INFO - Iter [79700/80000] lr: 5.402e-09, eta: 0:09:19, time: 1.792, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7327, decode.loss_mask: 0.7113, decode.loss_dice: 1.1209, decode.d0.loss_cls: 2.4800, decode.d0.loss_mask: 0.7376, decode.d0.loss_dice: 1.2869, decode.d1.loss_cls: 0.8439, decode.d1.loss_mask: 0.7510, decode.d1.loss_dice: 1.2087, decode.d2.loss_cls: 0.7791, decode.d2.loss_mask: 0.7317, decode.d2.loss_dice: 1.1663, decode.d3.loss_cls: 0.7569, decode.d3.loss_mask: 0.7231, decode.d3.loss_dice: 1.1391, decode.d4.loss_cls: 0.7468, decode.d4.loss_mask: 0.7184, decode.d4.loss_dice: 1.1419, decode.d5.loss_cls: 0.7425, decode.d5.loss_mask: 0.7165, decode.d5.loss_dice: 1.1333, decode.d6.loss_cls: 0.7453, decode.d6.loss_mask: 0.7145, decode.d6.loss_dice: 1.1191, decode.d7.loss_cls: 0.7377, decode.d7.loss_mask: 0.7109, decode.d7.loss_dice: 1.1223, decode.d8.loss_cls: 0.7377, decode.d8.loss_mask: 0.7125, decode.d8.loss_dice: 1.1187, loss: 28.0871 2022-04-30 13:37:22,334 - mmseg - INFO - Iter [79750/80000] lr: 4.505e-09, eta: 0:07:45, time: 1.786, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7331, decode.loss_mask: 0.7381, decode.loss_dice: 1.1272, decode.d0.loss_cls: 2.4734, decode.d0.loss_mask: 0.7657, decode.d0.loss_dice: 1.3152, decode.d1.loss_cls: 0.8463, decode.d1.loss_mask: 0.7680, decode.d1.loss_dice: 1.2352, decode.d2.loss_cls: 0.7813, decode.d2.loss_mask: 0.7486, decode.d2.loss_dice: 1.1803, decode.d3.loss_cls: 0.7606, decode.d3.loss_mask: 0.7406, decode.d3.loss_dice: 1.1491, decode.d4.loss_cls: 0.7456, decode.d4.loss_mask: 0.7365, decode.d4.loss_dice: 1.1484, decode.d5.loss_cls: 0.7478, decode.d5.loss_mask: 0.7380, decode.d5.loss_dice: 1.1388, decode.d6.loss_cls: 0.7331, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.1257, decode.d7.loss_cls: 0.7372, decode.d7.loss_mask: 0.7346, decode.d7.loss_dice: 1.1299, decode.d8.loss_cls: 0.7296, decode.d8.loss_mask: 0.7371, decode.d8.loss_dice: 1.1306, loss: 28.4140 2022-04-30 13:38:53,506 - mmseg - INFO - Iter [79800/80000] lr: 3.607e-09, eta: 0:06:12, time: 1.823, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7638, decode.loss_mask: 0.7338, decode.loss_dice: 1.1422, decode.d0.loss_cls: 2.5147, decode.d0.loss_mask: 0.7615, decode.d0.loss_dice: 1.3263, decode.d1.loss_cls: 0.8585, decode.d1.loss_mask: 0.7703, decode.d1.loss_dice: 1.2443, decode.d2.loss_cls: 0.7928, decode.d2.loss_mask: 0.7542, decode.d2.loss_dice: 1.1965, decode.d3.loss_cls: 0.7825, decode.d3.loss_mask: 0.7423, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7751, decode.d4.loss_mask: 0.7382, decode.d4.loss_dice: 1.1607, decode.d5.loss_cls: 0.7694, decode.d5.loss_mask: 0.7366, decode.d5.loss_dice: 1.1556, decode.d6.loss_cls: 0.7620, decode.d6.loss_mask: 0.7340, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.7614, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.1441, decode.d8.loss_cls: 0.7629, decode.d8.loss_mask: 0.7339, decode.d8.loss_dice: 1.1478, loss: 28.8083 2022-04-30 13:40:23,373 - mmseg - INFO - Iter [79850/80000] lr: 2.710e-09, eta: 0:04:39, time: 1.797, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7281, decode.loss_mask: 0.7341, decode.loss_dice: 1.1337, decode.d0.loss_cls: 2.4591, decode.d0.loss_mask: 0.7517, decode.d0.loss_dice: 1.3071, decode.d1.loss_cls: 0.8168, decode.d1.loss_mask: 0.7729, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 0.7657, decode.d2.loss_mask: 0.7517, decode.d2.loss_dice: 1.1851, decode.d3.loss_cls: 0.7484, decode.d3.loss_mask: 0.7474, decode.d3.loss_dice: 1.1575, decode.d4.loss_cls: 0.7396, decode.d4.loss_mask: 0.7374, decode.d4.loss_dice: 1.1543, decode.d5.loss_cls: 0.7365, decode.d5.loss_mask: 0.7376, decode.d5.loss_dice: 1.1456, decode.d6.loss_cls: 0.7304, decode.d6.loss_mask: 0.7357, decode.d6.loss_dice: 1.1353, decode.d7.loss_cls: 0.7263, decode.d7.loss_mask: 0.7338, decode.d7.loss_dice: 1.1348, decode.d8.loss_cls: 0.7265, decode.d8.loss_mask: 0.7341, decode.d8.loss_dice: 1.1380, loss: 28.3422 2022-04-30 13:41:54,416 - mmseg - INFO - Iter [79900/80000] lr: 1.813e-09, eta: 0:03:06, time: 1.821, data_time: 0.014, memory: 64979, decode.loss_cls: 0.7814, decode.loss_mask: 0.7416, decode.loss_dice: 1.1709, decode.d0.loss_cls: 2.5666, decode.d0.loss_mask: 0.7594, decode.d0.loss_dice: 1.3491, decode.d1.loss_cls: 0.8677, decode.d1.loss_mask: 0.7708, decode.d1.loss_dice: 1.2743, decode.d2.loss_cls: 0.8143, decode.d2.loss_mask: 0.7578, decode.d2.loss_dice: 1.2248, decode.d3.loss_cls: 0.7949, decode.d3.loss_mask: 0.7510, decode.d3.loss_dice: 1.1961, decode.d4.loss_cls: 0.7855, decode.d4.loss_mask: 0.7514, decode.d4.loss_dice: 1.1913, decode.d5.loss_cls: 0.7836, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 0.7758, decode.d6.loss_mask: 0.7444, decode.d6.loss_dice: 1.1728, decode.d7.loss_cls: 0.7809, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.1725, decode.d8.loss_cls: 0.7741, decode.d8.loss_mask: 0.7467, decode.d8.loss_dice: 1.1757, loss: 29.3534 2022-04-30 13:43:24,065 - mmseg - INFO - Iter [79950/80000] lr: 9.153e-10, eta: 0:01:33, time: 1.793, data_time: 0.013, memory: 64979, decode.loss_cls: 0.7653, decode.loss_mask: 0.7522, decode.loss_dice: 1.1487, decode.d0.loss_cls: 2.5545, decode.d0.loss_mask: 0.7691, decode.d0.loss_dice: 1.3296, decode.d1.loss_cls: 0.8696, decode.d1.loss_mask: 0.7850, decode.d1.loss_dice: 1.2496, decode.d2.loss_cls: 0.8118, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.1962, decode.d3.loss_cls: 0.7924, decode.d3.loss_mask: 0.7606, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7600, decode.d4.loss_dice: 1.1678, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7592, decode.d5.loss_dice: 1.1639, decode.d6.loss_cls: 0.7790, decode.d6.loss_mask: 0.7546, decode.d6.loss_dice: 1.1476, decode.d7.loss_cls: 0.7671, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.1514, decode.d8.loss_cls: 0.7697, decode.d8.loss_mask: 0.7543, decode.d8.loss_dice: 1.1507, loss: 29.1603 2022-04-30 13:44:52,980 - mmseg - INFO - Saving checkpoint at 80000 iterations 2022-04-30 13:45:16,886 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 13:45:16,889 - mmseg - INFO - Iter [80000/80000] lr: 1.795e-11, eta: 0:00:00, time: 2.253, data_time: 0.012, memory: 64979, decode.loss_cls: 0.7535, decode.loss_mask: 0.7483, decode.loss_dice: 1.1619, decode.d0.loss_cls: 2.5258, decode.d0.loss_mask: 0.7705, decode.d0.loss_dice: 1.3426, decode.d1.loss_cls: 0.8518, decode.d1.loss_mask: 0.7839, decode.d1.loss_dice: 1.2632, decode.d2.loss_cls: 0.7919, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.2089, decode.d3.loss_cls: 0.7770, decode.d3.loss_mask: 0.7569, decode.d3.loss_dice: 1.1809, decode.d4.loss_cls: 0.7673, decode.d4.loss_mask: 0.7563, decode.d4.loss_dice: 1.1751, decode.d5.loss_cls: 0.7674, decode.d5.loss_mask: 0.7567, decode.d5.loss_dice: 1.1671, decode.d6.loss_cls: 0.7574, decode.d6.loss_mask: 0.7517, decode.d6.loss_dice: 1.1602, decode.d7.loss_cls: 0.7569, decode.d7.loss_mask: 0.7503, decode.d7.loss_dice: 1.1662, decode.d8.loss_cls: 0.7559, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.1597, loss: 29.0839 2022-04-30 13:50:13,203 - mmseg - INFO - per class results: 2022-04-30 13:50:13,213 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.93 | 94.06 | | bicycle | 76.36 | 86.61 | | car | 65.91 | 84.53 | | motorcycle | 86.35 | 91.32 | | airplane | 84.98 | 91.21 | | bus | 84.81 | 90.96 | | train | 83.81 | 95.82 | | truck | 64.77 | 79.43 | | boat | 69.04 | 84.49 | | traffic light | 73.69 | 89.26 | | fire hydrant | 91.54 | 96.09 | | stop sign | 91.42 | 97.87 | | parking meter | 77.46 | 88.13 | | bench | 56.52 | 77.26 | | bird | 86.48 | 92.98 | | cat | 85.25 | 91.3 | | dog | 79.52 | 86.63 | | horse | 87.21 | 94.4 | | sheep | 88.82 | 95.85 | | cow | 88.75 | 92.99 | | elephant | 93.49 | 96.81 | | bear | 93.34 | 96.38 | | zebra | 92.96 | 96.05 | | giraffe | 88.6 | 94.7 | | backpack | 43.24 | 73.18 | | umbrella | 87.45 | 92.43 | | handbag | 44.55 | 71.39 | | tie | 18.05 | 23.04 | | suitcase | 83.3 | 94.63 | | frisbee | 83.22 | 95.23 | | skis | 61.24 | 77.23 | | snowboard | 73.25 | 82.5 | | sports ball | 66.18 | 79.69 | | kite | 75.32 | 87.06 | | baseball bat | 58.26 | 84.35 | | baseball glove | 74.76 | 92.31 | | skateboard | 85.3 | 91.07 | | surfboard | 85.35 | 92.67 | | tennis racket | 90.06 | 95.83 | | bottle | 51.93 | 65.63 | | wine glass | 63.16 | 85.78 | | cup | 60.77 | 78.55 | | fork | 48.86 | 59.9 | | knife | 44.39 | 62.25 | | spoon | 37.06 | 59.82 | | bowl | 51.01 | 71.22 | | banana | 71.13 | 92.89 | | apple | 56.56 | 76.52 | | sandwich | 46.74 | 61.3 | | orange | 74.05 | 80.25 | | broccoli | 56.25 | 70.14 | | carrot | 61.35 | 73.62 | | hot dog | 55.51 | 67.11 | | pizza | 76.74 | 89.98 | | donut | 75.59 | 87.28 | | cake | 73.39 | 84.97 | | chair | 54.8 | 72.81 | | couch | 59.89 | 79.38 | | potted plant | 40.05 | 68.57 | | bed | 68.91 | 84.71 | | dining table | 46.53 | 78.68 | | toilet | 83.51 | 94.88 | | tv | 74.13 | 85.77 | | laptop | 79.52 | 93.01 | | mouse | 81.01 | 90.26 | | remote | 63.1 | 78.45 | | keyboard | 70.54 | 81.95 | | cell phone | 78.1 | 91.79 | | microwave | 71.09 | 83.86 | | oven | 61.87 | 86.06 | | toaster | 58.24 | 66.44 | | sink | 64.92 | 81.14 | | refrigerator | 79.63 | 92.69 | | book | 52.7 | 74.68 | | clock | 72.5 | 83.63 | | vase | 61.18 | 84.68 | | scissors | 82.58 | 92.67 | | teddy bear | 80.13 | 91.72 | | hair drier | 75.98 | 79.89 | | toothbrush | 60.6 | 84.04 | | banner | 32.95 | 72.46 | | blanket | 10.63 | 13.58 | | branch | 19.48 | 33.28 | | bridge | 41.78 | 59.75 | | building-other | 54.14 | 70.4 | | bush | 35.58 | 48.26 | | cabinet | 57.5 | 75.08 | | cage | 23.09 | 36.72 | | cardboard | 50.41 | 59.97 | | carpet | 50.64 | 67.81 | | ceiling-other | 67.28 | 83.91 | | ceiling-tile | 6.62 | 6.68 | | cloth | 5.0 | 5.18 | | clothes | 24.05 | 35.69 | | clouds | 47.48 | 62.48 | | counter | 33.96 | 56.97 | | cupboard | 0.0 | 0.0 | | curtain | 70.86 | 82.29 | | desk-stuff | 47.91 | 66.45 | | dirt | 41.51 | 60.02 | | door-stuff | 46.78 | 71.27 | | fence | 33.74 | 56.94 | | floor-marble | 9.85 | 11.38 | | floor-other | 23.7 | 31.41 | | floor-stone | 6.25 | 7.99 | | floor-tile | 65.19 | 75.2 | | floor-wood | 64.32 | 80.99 | | flower | 38.53 | 50.89 | | fog | 7.08 | 7.46 | | food-other | 33.18 | 39.95 | | fruit | 44.7 | 65.12 | | furniture-other | 22.67 | 32.73 | | grass | 71.45 | 82.85 | | gravel | 31.33 | 46.74 | | ground-other | 4.06 | 4.95 | | hill | 22.78 | 31.79 | | house | 25.53 | 32.76 | | leaves | 26.78 | 36.66 | | light | 42.6 | 61.51 | | mat | 0.03 | 0.03 | | metal | 36.93 | 53.73 | | mirror-stuff | 61.52 | 77.65 | | moss | 0.0 | 0.0 | | mountain | 56.79 | 71.49 | | mud | 4.83 | 9.62 | | napkin | 9.28 | 11.62 | | net | 46.47 | 70.69 | | paper | 30.07 | 42.29 | | pavement | 53.23 | 70.23 | | pillow | 19.68 | 32.3 | | plant-other | 21.3 | 38.67 | | plastic | 27.56 | 39.11 | | platform | 32.51 | 52.66 | | playingfield | 69.71 | 91.49 | | railing | 9.78 | 19.85 | | railroad | 61.58 | 80.5 | | river | 50.98 | 69.71 | | road | 67.4 | 85.18 | | rock | 40.48 | 62.17 | | roof | 19.45 | 26.05 | | rug | 31.64 | 56.94 | | salad | 0.16 | 0.16 | | sand | 68.39 | 73.65 | | sea | 84.78 | 91.98 | | shelf | 37.77 | 51.2 | | sky-other | 71.3 | 87.3 | | skyscraper | 34.8 | 46.89 | | snow | 91.98 | 95.26 | | solid-other | 0.0 | 0.0 | | stairs | 30.66 | 56.89 | | stone | 7.33 | 13.4 | | straw | 30.86 | 46.99 | | structural-other | 2.04 | 2.21 | | table | 17.75 | 21.26 | | tent | 9.96 | 12.55 | | textile-other | 15.38 | 26.59 | | towel | 39.66 | 50.27 | | tree | 74.46 | 85.89 | | vegetable | 43.93 | 56.04 | | wall-brick | 53.13 | 69.43 | | wall-concrete | 63.64 | 79.34 | | wall-other | 23.12 | 36.06 | | wall-panel | 8.9 | 10.6 | | wall-stone | 32.51 | 42.75 | | wall-tile | 72.48 | 87.16 | | wall-wood | 43.72 | 61.07 | | water-other | 21.85 | 33.97 | | waterdrops | 0.0 | 0.0 | | window-blind | 53.04 | 64.24 | | window-other | 49.38 | 71.55 | | wood | 27.41 | 43.13 | +------------------+-------+-------+ 2022-04-30 13:50:13,213 - mmseg - INFO - Summary: 2022-04-30 13:50:13,213 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 73.4 | 51.68 | 64.28 | +------+-------+-------+ 2022-04-30 13:50:13,216 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/DenseAdaptor/segmentation/work_dirs/mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query/best_mIoU_iter_64000.pth was removed 2022-04-30 13:50:42,903 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. 2022-04-30 13:50:42,914 - mmseg - INFO - Best mIoU is 0.5168 at 80000 iter. 2022-04-30 13:50:42,943 - mmseg - INFO - Exp name: mask2former_beit_large_24_adapter_896_slide_80k_cocostuff164k_pt2ft_200query.py 2022-04-30 13:50:42,943 - mmseg - INFO - Iter(val) [313] aAcc: 0.7340, mIoU: 0.5168, mAcc: 0.6428, IoU.person: 0.8793, IoU.bicycle: 0.7636, IoU.car: 0.6591, IoU.motorcycle: 0.8635, IoU.airplane: 0.8498, IoU.bus: 0.8481, IoU.train: 0.8381, IoU.truck: 0.6477, IoU.boat: 0.6904, IoU.traffic light: 0.7369, IoU.fire hydrant: 0.9154, IoU.stop sign: 0.9142, IoU.parking meter: 0.7746, IoU.bench: 0.5652, IoU.bird: 0.8648, IoU.cat: 0.8525, IoU.dog: 0.7952, IoU.horse: 0.8721, IoU.sheep: 0.8882, IoU.cow: 0.8875, IoU.elephant: 0.9349, IoU.bear: 0.9334, IoU.zebra: 0.9296, IoU.giraffe: 0.8860, IoU.backpack: 0.4324, IoU.umbrella: 0.8745, IoU.handbag: 0.4455, IoU.tie: 0.1805, IoU.suitcase: 0.8330, IoU.frisbee: 0.8322, IoU.skis: 0.6124, IoU.snowboard: 0.7325, IoU.sports ball: 0.6618, IoU.kite: 0.7532, IoU.baseball bat: 0.5826, IoU.baseball glove: 0.7476, IoU.skateboard: 0.8530, IoU.surfboard: 0.8535, IoU.tennis racket: 0.9006, IoU.bottle: 0.5193, IoU.wine glass: 0.6316, IoU.cup: 0.6077, IoU.fork: 0.4886, IoU.knife: 0.4439, IoU.spoon: 0.3706, IoU.bowl: 0.5101, IoU.banana: 0.7113, IoU.apple: 0.5656, IoU.sandwich: 0.4674, IoU.orange: 0.7405, IoU.broccoli: 0.5625, IoU.carrot: 0.6135, IoU.hot dog: 0.5551, IoU.pizza: 0.7674, IoU.donut: 0.7559, IoU.cake: 0.7339, IoU.chair: 0.5480, IoU.couch: 0.5989, IoU.potted plant: 0.4005, IoU.bed: 0.6891, IoU.dining table: 0.4653, IoU.toilet: 0.8351, IoU.tv: 0.7413, IoU.laptop: 0.7952, IoU.mouse: 0.8101, IoU.remote: 0.6310, IoU.keyboard: 0.7054, IoU.cell phone: 0.7810, IoU.microwave: 0.7109, IoU.oven: 0.6187, IoU.toaster: 0.5824, IoU.sink: 0.6492, IoU.refrigerator: 0.7963, IoU.book: 0.5270, IoU.clock: 0.7250, IoU.vase: 0.6118, IoU.scissors: 0.8258, IoU.teddy bear: 0.8013, IoU.hair drier: 0.7598, IoU.toothbrush: 0.6060, IoU.banner: 0.3295, IoU.blanket: 0.1063, IoU.branch: 0.1948, IoU.bridge: 0.4178, IoU.building-other: 0.5414, IoU.bush: 0.3558, IoU.cabinet: 0.5750, IoU.cage: 0.2309, IoU.cardboard: 0.5041, IoU.carpet: 0.5064, IoU.ceiling-other: 0.6728, IoU.ceiling-tile: 0.0662, IoU.cloth: 0.0500, IoU.clothes: 0.2405, IoU.clouds: 0.4748, IoU.counter: 0.3396, IoU.cupboard: 0.0000, IoU.curtain: 0.7086, IoU.desk-stuff: 0.4791, IoU.dirt: 0.4151, IoU.door-stuff: 0.4678, IoU.fence: 0.3374, IoU.floor-marble: 0.0985, IoU.floor-other: 0.2370, IoU.floor-stone: 0.0625, IoU.floor-tile: 0.6519, IoU.floor-wood: 0.6432, IoU.flower: 0.3853, IoU.fog: 0.0708, IoU.food-other: 0.3318, IoU.fruit: 0.4470, IoU.furniture-other: 0.2267, IoU.grass: 0.7145, IoU.gravel: 0.3133, IoU.ground-other: 0.0406, IoU.hill: 0.2278, IoU.house: 0.2553, IoU.leaves: 0.2678, IoU.light: 0.4260, IoU.mat: 0.0003, IoU.metal: 0.3693, IoU.mirror-stuff: 0.6152, IoU.moss: 0.0000, IoU.mountain: 0.5679, IoU.mud: 0.0483, IoU.napkin: 0.0928, IoU.net: 0.4647, IoU.paper: 0.3007, IoU.pavement: 0.5323, IoU.pillow: 0.1968, IoU.plant-other: 0.2130, IoU.plastic: 0.2756, IoU.platform: 0.3251, IoU.playingfield: 0.6971, IoU.railing: 0.0978, IoU.railroad: 0.6158, IoU.river: 0.5098, IoU.road: 0.6740, IoU.rock: 0.4048, IoU.roof: 0.1945, IoU.rug: 0.3164, IoU.salad: 0.0016, IoU.sand: 0.6839, IoU.sea: 0.8478, IoU.shelf: 0.3777, IoU.sky-other: 0.7130, IoU.skyscraper: 0.3480, IoU.snow: 0.9198, IoU.solid-other: 0.0000, IoU.stairs: 0.3066, IoU.stone: 0.0733, IoU.straw: 0.3086, IoU.structural-other: 0.0204, IoU.table: 0.1775, IoU.tent: 0.0996, IoU.textile-other: 0.1538, IoU.towel: 0.3966, IoU.tree: 0.7446, IoU.vegetable: 0.4393, IoU.wall-brick: 0.5313, IoU.wall-concrete: 0.6364, IoU.wall-other: 0.2312, IoU.wall-panel: 0.0890, IoU.wall-stone: 0.3251, IoU.wall-tile: 0.7248, IoU.wall-wood: 0.4372, IoU.water-other: 0.2185, IoU.waterdrops: 0.0000, IoU.window-blind: 0.5304, IoU.window-other: 0.4938, IoU.wood: 0.2741, Acc.person: 0.9406, Acc.bicycle: 0.8661, Acc.car: 0.8453, Acc.motorcycle: 0.9132, Acc.airplane: 0.9121, Acc.bus: 0.9096, Acc.train: 0.9582, Acc.truck: 0.7943, Acc.boat: 0.8449, Acc.traffic light: 0.8926, Acc.fire hydrant: 0.9609, Acc.stop sign: 0.9787, Acc.parking meter: 0.8813, Acc.bench: 0.7726, Acc.bird: 0.9298, Acc.cat: 0.9130, Acc.dog: 0.8663, Acc.horse: 0.9440, Acc.sheep: 0.9585, Acc.cow: 0.9299, Acc.elephant: 0.9681, Acc.bear: 0.9638, Acc.zebra: 0.9605, Acc.giraffe: 0.9470, Acc.backpack: 0.7318, Acc.umbrella: 0.9243, Acc.handbag: 0.7139, Acc.tie: 0.2304, Acc.suitcase: 0.9463, Acc.frisbee: 0.9523, Acc.skis: 0.7723, Acc.snowboard: 0.8250, Acc.sports ball: 0.7969, Acc.kite: 0.8706, Acc.baseball bat: 0.8435, Acc.baseball glove: 0.9231, Acc.skateboard: 0.9107, Acc.surfboard: 0.9267, Acc.tennis racket: 0.9583, Acc.bottle: 0.6563, Acc.wine glass: 0.8578, Acc.cup: 0.7855, Acc.fork: 0.5990, Acc.knife: 0.6225, Acc.spoon: 0.5982, Acc.bowl: 0.7122, Acc.banana: 0.9289, Acc.apple: 0.7652, Acc.sandwich: 0.6130, Acc.orange: 0.8025, Acc.broccoli: 0.7014, Acc.carrot: 0.7362, Acc.hot dog: 0.6711, Acc.pizza: 0.8998, Acc.donut: 0.8728, Acc.cake: 0.8497, Acc.chair: 0.7281, Acc.couch: 0.7938, Acc.potted plant: 0.6857, Acc.bed: 0.8471, Acc.dining table: 0.7868, Acc.toilet: 0.9488, Acc.tv: 0.8577, Acc.laptop: 0.9301, Acc.mouse: 0.9026, Acc.remote: 0.7845, Acc.keyboard: 0.8195, Acc.cell phone: 0.9179, Acc.microwave: 0.8386, Acc.oven: 0.8606, Acc.toaster: 0.6644, Acc.sink: 0.8114, Acc.refrigerator: 0.9269, Acc.book: 0.7468, Acc.clock: 0.8363, Acc.vase: 0.8468, Acc.scissors: 0.9267, Acc.teddy bear: 0.9172, Acc.hair drier: 0.7989, Acc.toothbrush: 0.8404, Acc.banner: 0.7246, Acc.blanket: 0.1358, Acc.branch: 0.3328, Acc.bridge: 0.5975, Acc.building-other: 0.7040, Acc.bush: 0.4826, Acc.cabinet: 0.7508, Acc.cage: 0.3672, Acc.cardboard: 0.5997, Acc.carpet: 0.6781, Acc.ceiling-other: 0.8391, Acc.ceiling-tile: 0.0668, Acc.cloth: 0.0518, Acc.clothes: 0.3569, Acc.clouds: 0.6248, Acc.counter: 0.5697, Acc.cupboard: 0.0000, Acc.curtain: 0.8229, Acc.desk-stuff: 0.6645, Acc.dirt: 0.6002, Acc.door-stuff: 0.7127, Acc.fence: 0.5694, Acc.floor-marble: 0.1138, Acc.floor-other: 0.3141, Acc.floor-stone: 0.0799, Acc.floor-tile: 0.7520, Acc.floor-wood: 0.8099, Acc.flower: 0.5089, Acc.fog: 0.0746, Acc.food-other: 0.3995, Acc.fruit: 0.6512, Acc.furniture-other: 0.3273, Acc.grass: 0.8285, Acc.gravel: 0.4674, Acc.ground-other: 0.0495, Acc.hill: 0.3179, Acc.house: 0.3276, Acc.leaves: 0.3666, Acc.light: 0.6151, Acc.mat: 0.0003, Acc.metal: 0.5373, Acc.mirror-stuff: 0.7765, Acc.moss: 0.0000, Acc.mountain: 0.7149, Acc.mud: 0.0962, Acc.napkin: 0.1162, Acc.net: 0.7069, Acc.paper: 0.4229, Acc.pavement: 0.7023, Acc.pillow: 0.3230, Acc.plant-other: 0.3867, Acc.plastic: 0.3911, Acc.platform: 0.5266, Acc.playingfield: 0.9149, Acc.railing: 0.1985, Acc.railroad: 0.8050, Acc.river: 0.6971, Acc.road: 0.8518, Acc.rock: 0.6217, Acc.roof: 0.2605, Acc.rug: 0.5694, Acc.salad: 0.0016, Acc.sand: 0.7365, Acc.sea: 0.9198, Acc.shelf: 0.5120, Acc.sky-other: 0.8730, Acc.skyscraper: 0.4689, Acc.snow: 0.9526, Acc.solid-other: 0.0000, Acc.stairs: 0.5689, Acc.stone: 0.1340, Acc.straw: 0.4699, Acc.structural-other: 0.0221, Acc.table: 0.2126, Acc.tent: 0.1255, Acc.textile-other: 0.2659, Acc.towel: 0.5027, Acc.tree: 0.8589, Acc.vegetable: 0.5604, Acc.wall-brick: 0.6943, Acc.wall-concrete: 0.7934, Acc.wall-other: 0.3606, Acc.wall-panel: 0.1060, Acc.wall-stone: 0.4275, Acc.wall-tile: 0.8716, Acc.wall-wood: 0.6107, Acc.water-other: 0.3397, Acc.waterdrops: 0.0000, Acc.window-blind: 0.6424, Acc.window-other: 0.7155, Acc.wood: 0.4313