2022-06-21 13:46:51,632 - 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: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.5 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.20.2+ ------------------------------------------------------------ 2022-06-21 13:46:51,634 - mmseg - INFO - Distributed training: True 2022-06-21 13:46:52,443 - 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_base_patch16_224_pt22k_ft22k.pth', backbone=dict( type='BEiTAdapter', patch_size=16, embed_dim=768, depth=12, num_heads=12, mlp_ratio=4, qkv_bias=True, use_abs_pos_emb=False, use_rel_pos_bias=True, img_size=512, init_values=1e-06, drop_path_rate=0.2, conv_inplane=64, n_points=4, deform_num_heads=12, cffn_ratio=0.25, deform_ratio=0.5, interaction_indexes=[[0, 2], [3, 5], [6, 8], [9, 11]]), decode_head=dict( type='Mask2FormerHead', in_channels=[768, 768, 768, 768], feat_channels=256, out_channels=256, in_index=[0, 1, 2, 3], num_things_classes=80, num_stuff_classes=91, num_queries=100, 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=256, num_heads=8, 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=256, feedforward_channels=1024, 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=128, normalize=True), init_cfg=None), enforce_decoder_input_project=False, positional_encoding=dict( type='SinePositionalEncoding', num_feats=128, normalize=True), transformer_decoder=dict( type='DetrTransformerDecoder', return_intermediate=True, num_layers=9, transformerlayers=dict( type='DetrTransformerDecoderLayer', attn_cfgs=dict( type='MultiheadAttention', embed_dims=256, num_heads=8, attn_drop=0.0, proj_drop=0.0, dropout_layer=None, batch_first=False), ffn_cfgs=dict( embed_dims=256, feedforward_channels=2048, num_fcs=2, act_cfg=dict(type='ReLU', inplace=True), ffn_drop=0.0, dropout_layer=None, add_identity=True), feedforward_channels=2048, 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=(512, 512), stride=(341, 341)), init_cfg=None) find_unused_parameters = True dataset_type = 'COCOStuffDataset' data_root = 'data/coco_stuff10k' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (512, 512) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=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=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='ResizeToMultiple', size_divisor=32), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=4, train=dict( type='COCOStuffDataset', data_root='data/coco_stuff10k', reduce_zero_label=True, img_dir='images/train2014', ann_dir='annotations/train2014', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=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_stuff10k', reduce_zero_label=True, img_dir='images/test2014', ann_dir='annotations/test2014', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), 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_stuff10k', reduce_zero_label=True, img_dir='images/test2014', ann_dir='annotations/test2014', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), 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=3e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.95)) 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=40000) checkpoint_config = dict(by_epoch=False, interval=1000, max_keep_ckpts=1) evaluation = dict( interval=4000, metric='mIoU', pre_eval=True, save_best='mIoU') pretrained = 'pretrained/beit_base_patch16_224_pt22k_ft22k.pth' work_dir = './work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2' gpu_ids = range(0, 8) auto_resume = False 2022-06-21 13:47:01,259 - mmseg - INFO - Set random seed to 403220840, deterministic: False 2022-06-21 13:47:07,774 - 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 Name of parameter - Initialization information backbone.cls_token - torch.Size([1, 1, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.level_embed - torch.Size([3, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.patch_embed.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.0.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.1.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.2.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.3.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.4.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.5.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.6.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.7.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.8.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.9.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.10.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_1 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.gamma_2 - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.q_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.v_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.relative_position_bias_table - torch.Size([3972, 12]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc1.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.blocks.11.mlp.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.weight - torch.Size([768, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.weight - torch.Size([768, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.weight - torch.Size([768, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.weight - torch.Size([768, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.spm.fc4.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([144, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([144, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([144, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.gamma - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([144, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([96, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([48, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([384, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([768, 384]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.weight - torch.Size([768, 768, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.up.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm3.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former backbone.norm4.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.conv_seg.weight - torch.Size([171, 256, 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([256, 768, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.conv.weight - torch.Size([256, 768, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.1.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.conv.weight - torch.Size([256, 768, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.input_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.input_convs.2.gn.bias - torch.Size([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): 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([192, 256]): 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([192]): 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([96, 256]): 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([96]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.value_proj.bias - torch.Size([256]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.attentions.0.output_proj.bias - torch.Size([256]): 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([1024, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): 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([256]): 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([256]): 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([256]): 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([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.level_encoding.weight - torch.Size([3, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.conv.weight - torch.Size([256, 768, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.lateral_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.lateral_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.output_convs.0.gn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.output_convs.0.gn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.pixel_decoder.mask_feature.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.pixel_decoder.mask_feature.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.0.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.1.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.2.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.3.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.4.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.5.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.6.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.6.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.7.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.7.norms.2.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.0.attn.out_proj.bias - torch.Size([256]): 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([768, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.in_proj_bias - torch.Size([768]): 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([256, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.attentions.1.attn.out_proj.bias - torch.Size([256]): 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([2048, 256]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.0.0.bias - torch.Size([2048]): 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([256, 2048]): Initialized by user-defined `init_weights` in Mask2FormerHead decode_head.transformer_decoder.layers.8.ffns.0.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.layers.8.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.transformer_decoder.post_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_embed.weight - torch.Size([100, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.query_feat.weight - torch.Size([100, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.level_embed.weight - torch.Size([3, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.cls_embed.weight - torch.Size([172, 256]): 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([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former decode_head.mask_embed.4.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoderMask2Former 2022-06-21 13:47:08,378 - mmseg - INFO - EncoderDecoderMask2Former( (backbone): BEiTAdapter( (patch_embed): PatchEmbed( (proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16)) ) (pos_drop): Dropout(p=0.0, inplace=False) (blocks): ModuleList( (0): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.0181818176060915) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.036363635212183) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.05454545468091965) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.072727270424366) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.09090908616781235) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.10909091681241989) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.12727272510528564) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1454545557498932) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.16363637149333954) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.1818181872367859) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=768, out_features=2304, bias=False) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=768, out_features=768, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath(p=0.20000000298023224) (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=768, out_features=3072, bias=True) (act): GELU() (fc2): Linear(in_features=3072, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (spm): SpatialPriorModule( (stem): Sequential( (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (8): ReLU(inplace=True) (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) ) (conv2): Sequential( (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv3): Sequential( (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv4): Sequential( (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (fc1): Conv2d(64, 768, kernel_size=(1, 1), stride=(1, 1)) (fc2): Conv2d(128, 768, kernel_size=(1, 1), stride=(1, 1)) (fc3): Conv2d(256, 768, kernel_size=(1, 1), stride=(1, 1)) (fc4): Conv2d(256, 768, kernel_size=(1, 1), stride=(1, 1)) ) (interactions): Sequential( (0): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) (attention_weights): Linear(in_features=768, out_features=144, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (1): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) (attention_weights): Linear(in_features=768, out_features=144, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (2): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) (attention_weights): Linear(in_features=768, out_features=144, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (3): InteractionBlockWithCls( (injector): Injector( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) (attention_weights): Linear(in_features=768, out_features=144, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (extra_extractors): Sequential( (0): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (1): Extractor( (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) (attention_weights): Linear(in_features=768, out_features=48, bias=True) (value_proj): Linear(in_features=768, out_features=384, bias=True) (output_proj): Linear(in_features=384, out_features=768, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=768, out_features=192, bias=True) (dwconv): DWConv( (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) ) (act): GELU() (fc2): Linear(in_features=192, out_features=768, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) ) ) (up): ConvTranspose2d(768, 768, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm2): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm3): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm4): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (decode_head): Mask2FormerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (conv_seg): Conv2d(256, 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(768, 256, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (1): ConvModule( (conv): Conv2d(768, 256, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) (2): ConvModule( (conv): Conv2d(768, 256, kernel_size=(1, 1), stride=(1, 1)) (gn): GroupNorm(32, 256, 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=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (1): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (2): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (3): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (4): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (5): BaseTransformerLayer( (attentions): ModuleList( (0): MultiScaleDeformableAttention( (dropout): Dropout(p=0.0, inplace=False) (sampling_offsets): Linear(in_features=256, out_features=192, bias=True) (attention_weights): Linear(in_features=256, out_features=96, bias=True) (value_proj): Linear(in_features=256, out_features=256, bias=True) (output_proj): Linear(in_features=256, out_features=256, bias=True) ) ) (ffns): ModuleList( (0): FFN( (activate): ReLU(inplace=True) (layers): Sequential( (0): Sequential( (0): Linear(in_features=256, out_features=1024, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=1024, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) ) ) (postional_encoding): SinePositionalEncoding(num_feats=128, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (level_encoding): Embedding(3, 256) (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(768, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) ) ) (output_convs): ModuleList( (0): ConvModule( (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (gn): GroupNorm(32, 256, eps=1e-05, affine=True) (activate): ReLU(inplace=True) ) ) (mask_feature): Conv2d(256, 256, 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=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (1): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (2): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (3): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (4): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (5): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (6): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (7): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) (8): DetrTransformerDecoderLayer( (attentions): ModuleList( (0): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (proj_drop): Dropout(p=0.0, inplace=False) (dropout_layer): Identity() ) (1): MultiheadAttention( (attn): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, 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=256, out_features=2048, bias=True) (1): ReLU(inplace=True) (2): Dropout(p=0.0, inplace=False) ) (1): Linear(in_features=2048, out_features=256, bias=True) (2): Dropout(p=0.0, inplace=False) ) (dropout_layer): Identity() ) ) (norms): ModuleList( (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) ) ) (post_norm): LayerNorm((256,), eps=1e-05, elementwise_affine=True) ) (decoder_input_projs): ModuleList( (0): Identity() (1): Identity() (2): Identity() ) (decoder_positional_encoding): SinePositionalEncoding(num_feats=128, temperature=10000, normalize=True, scale=6.283185307179586, eps=1e-06) (query_embed): Embedding(100, 256) (query_feat): Embedding(100, 256) (level_embed): Embedding(3, 256) (cls_embed): Linear(in_features=256, out_features=172, bias=True) (mask_embed): Sequential( (0): Linear(in_features=256, out_features=256, bias=True) (1): ReLU(inplace=True) (2): Linear(in_features=256, out_features=256, bias=True) (3): ReLU(inplace=True) (4): Linear(in_features=256, out_features=256, bias=True) ) (loss_cls): CrossEntropyLoss(avg_non_ignore=False) (loss_mask): CrossEntropyLoss(avg_non_ignore=False) (loss_dice): DiceLoss() ) ) 2022-06-21 13:47:08,693 - mmseg - INFO - Loaded 9000 images 2022-06-21 13:47:09,892 - mmseg - INFO - Loaded 1000 images 2022-06-21 13:47:09,893 - mmseg - INFO - Start running, host: chenzhe.vendor@SH-IDC1-10-140-1-155, work_dir: /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2 2022-06-21 13:47:09,893 - 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 -------------------- 2022-06-21 13:47:09,893 - mmseg - INFO - workflow: [('train', 1)], max: 40000 iters 2022-06-21 13:47:09,893 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2 by HardDiskBackend. 2022-06-21 13:48:12,684 - mmseg - INFO - Iter [50/40000] lr: 5.025e-07, eta: 6:22:49, time: 0.575, data_time: 0.013, memory: 40943, decode.loss_cls: 9.3915, decode.loss_mask: 3.0968, decode.loss_dice: 4.1966, decode.d0.loss_cls: 10.5293, decode.d0.loss_mask: 2.4709, decode.d0.loss_dice: 3.9801, decode.d1.loss_cls: 10.8354, decode.d1.loss_mask: 3.0319, decode.d1.loss_dice: 4.0340, decode.d2.loss_cls: 10.5299, decode.d2.loss_mask: 3.5478, decode.d2.loss_dice: 4.1024, decode.d3.loss_cls: 11.2008, decode.d3.loss_mask: 3.7577, decode.d3.loss_dice: 4.1053, decode.d4.loss_cls: 10.8059, decode.d4.loss_mask: 3.4983, decode.d4.loss_dice: 4.1145, decode.d5.loss_cls: 10.5275, decode.d5.loss_mask: 3.0556, decode.d5.loss_dice: 4.1707, decode.d6.loss_cls: 11.2313, decode.d6.loss_mask: 3.3994, decode.d6.loss_dice: 4.1354, decode.d7.loss_cls: 11.2874, decode.d7.loss_mask: 3.1673, decode.d7.loss_dice: 4.2093, decode.d8.loss_cls: 9.3902, decode.d8.loss_mask: 2.9018, decode.d8.loss_dice: 4.2335, loss: 178.9382 2022-06-21 13:48:35,511 - mmseg - INFO - Iter [100/40000] lr: 1.014e-06, eta: 5:43:08, time: 0.457, data_time: 0.009, memory: 40943, decode.loss_cls: 7.7460, decode.loss_mask: 2.3418, decode.loss_dice: 4.3254, decode.d0.loss_cls: 10.5439, decode.d0.loss_mask: 2.0687, decode.d0.loss_dice: 3.8712, decode.d1.loss_cls: 10.2535, decode.d1.loss_mask: 2.3195, decode.d1.loss_dice: 3.9312, decode.d2.loss_cls: 9.6544, decode.d2.loss_mask: 2.5572, decode.d2.loss_dice: 4.0010, decode.d3.loss_cls: 10.0429, decode.d3.loss_mask: 2.6284, decode.d3.loss_dice: 4.0568, decode.d4.loss_cls: 9.4451, decode.d4.loss_mask: 2.4846, decode.d4.loss_dice: 4.1548, decode.d5.loss_cls: 9.0986, decode.d5.loss_mask: 2.2424, decode.d5.loss_dice: 4.3004, decode.d6.loss_cls: 9.7895, decode.d6.loss_mask: 2.4586, decode.d6.loss_dice: 4.2378, decode.d7.loss_cls: 9.8285, decode.d7.loss_mask: 2.2413, decode.d7.loss_dice: 4.3645, decode.d8.loss_cls: 7.8778, decode.d8.loss_mask: 2.2001, decode.d8.loss_dice: 4.3627, loss: 159.4287 2022-06-21 13:48:57,938 - mmseg - INFO - Iter [150/40000] lr: 1.524e-06, eta: 5:27:53, time: 0.449, data_time: 0.009, memory: 40943, decode.loss_cls: 5.5736, decode.loss_mask: 2.2348, decode.loss_dice: 4.3152, decode.d0.loss_cls: 10.5304, decode.d0.loss_mask: 1.9753, decode.d0.loss_dice: 3.8268, decode.d1.loss_cls: 8.9437, decode.d1.loss_mask: 2.0522, decode.d1.loss_dice: 3.8803, decode.d2.loss_cls: 7.6164, decode.d2.loss_mask: 2.1134, decode.d2.loss_dice: 3.9652, decode.d3.loss_cls: 7.4366, decode.d3.loss_mask: 2.1865, decode.d3.loss_dice: 4.0540, decode.d4.loss_cls: 6.6275, decode.d4.loss_mask: 2.3009, decode.d4.loss_dice: 4.1075, decode.d5.loss_cls: 6.3794, decode.d5.loss_mask: 2.1761, decode.d5.loss_dice: 4.2992, decode.d6.loss_cls: 6.7433, decode.d6.loss_mask: 2.2838, decode.d6.loss_dice: 4.2317, decode.d7.loss_cls: 6.7817, decode.d7.loss_mask: 2.1634, decode.d7.loss_dice: 4.3588, decode.d8.loss_cls: 5.7271, decode.d8.loss_mask: 2.2447, decode.d8.loss_dice: 4.3023, loss: 135.4315 2022-06-21 13:49:20,494 - mmseg - INFO - Iter [200/40000] lr: 2.033e-06, eta: 5:20:25, time: 0.451, data_time: 0.010, memory: 40943, decode.loss_cls: 4.9899, decode.loss_mask: 2.2031, decode.loss_dice: 4.3229, decode.d0.loss_cls: 10.5303, decode.d0.loss_mask: 1.9504, decode.d0.loss_dice: 3.8278, decode.d1.loss_cls: 7.2946, decode.d1.loss_mask: 2.0263, decode.d1.loss_dice: 3.8756, decode.d2.loss_cls: 5.6656, decode.d2.loss_mask: 2.0323, decode.d2.loss_dice: 3.9415, decode.d3.loss_cls: 5.4524, decode.d3.loss_mask: 2.0742, decode.d3.loss_dice: 4.0661, decode.d4.loss_cls: 5.1353, decode.d4.loss_mask: 2.1270, decode.d4.loss_dice: 4.1533, decode.d5.loss_cls: 5.0986, decode.d5.loss_mask: 2.1677, decode.d5.loss_dice: 4.2509, decode.d6.loss_cls: 5.1411, decode.d6.loss_mask: 2.1905, decode.d6.loss_dice: 4.2632, decode.d7.loss_cls: 5.1222, decode.d7.loss_mask: 2.2038, decode.d7.loss_dice: 4.2958, decode.d8.loss_cls: 4.9956, decode.d8.loss_mask: 2.2082, decode.d8.loss_dice: 4.3047, loss: 121.9113 2022-06-21 13:49:43,270 - mmseg - INFO - Iter [250/40000] lr: 2.541e-06, eta: 5:16:13, time: 0.454, data_time: 0.009, memory: 40943, decode.loss_cls: 4.9524, decode.loss_mask: 2.1893, decode.loss_dice: 4.3130, decode.d0.loss_cls: 10.5341, decode.d0.loss_mask: 1.9467, decode.d0.loss_dice: 3.8215, decode.d1.loss_cls: 6.0879, decode.d1.loss_mask: 1.9985, decode.d1.loss_dice: 3.8655, decode.d2.loss_cls: 5.1173, decode.d2.loss_mask: 1.9638, decode.d2.loss_dice: 3.9160, decode.d3.loss_cls: 5.0756, decode.d3.loss_mask: 1.9699, decode.d3.loss_dice: 4.0177, decode.d4.loss_cls: 5.0021, decode.d4.loss_mask: 1.9838, decode.d4.loss_dice: 4.1092, decode.d5.loss_cls: 4.9817, decode.d5.loss_mask: 2.0673, decode.d5.loss_dice: 4.1964, decode.d6.loss_cls: 5.0067, decode.d6.loss_mask: 2.1380, decode.d6.loss_dice: 4.2433, decode.d7.loss_cls: 4.9619, decode.d7.loss_mask: 2.1719, decode.d7.loss_dice: 4.2820, decode.d8.loss_cls: 4.9360, decode.d8.loss_mask: 2.1856, decode.d8.loss_dice: 4.2908, loss: 118.3255 2022-06-21 13:50:05,806 - mmseg - INFO - Iter [300/40000] lr: 3.047e-06, eta: 5:13:00, time: 0.452, data_time: 0.011, memory: 40943, decode.loss_cls: 4.8260, decode.loss_mask: 2.1777, decode.loss_dice: 4.2480, decode.d0.loss_cls: 10.5320, decode.d0.loss_mask: 1.9382, decode.d0.loss_dice: 3.7940, decode.d1.loss_cls: 5.4337, decode.d1.loss_mask: 1.9447, decode.d1.loss_dice: 3.8288, decode.d2.loss_cls: 4.9450, decode.d2.loss_mask: 1.9036, decode.d2.loss_dice: 3.8744, decode.d3.loss_cls: 4.9143, decode.d3.loss_mask: 1.8837, decode.d3.loss_dice: 3.9294, decode.d4.loss_cls: 4.8594, decode.d4.loss_mask: 1.8707, decode.d4.loss_dice: 3.9888, decode.d5.loss_cls: 4.8533, decode.d5.loss_mask: 1.9250, decode.d5.loss_dice: 4.0462, decode.d6.loss_cls: 4.8573, decode.d6.loss_mask: 2.0274, decode.d6.loss_dice: 4.1271, decode.d7.loss_cls: 4.8251, decode.d7.loss_mask: 2.1116, decode.d7.loss_dice: 4.1907, decode.d8.loss_cls: 4.8182, decode.d8.loss_mask: 2.1344, decode.d8.loss_dice: 4.2248, loss: 115.0335 2022-06-21 13:50:28,215 - mmseg - INFO - Iter [350/40000] lr: 3.552e-06, eta: 5:10:07, time: 0.447, data_time: 0.009, memory: 40943, decode.loss_cls: 4.8443, decode.loss_mask: 1.9880, decode.loss_dice: 4.1467, decode.d0.loss_cls: 10.5254, decode.d0.loss_mask: 1.8879, decode.d0.loss_dice: 3.7860, decode.d1.loss_cls: 5.2485, decode.d1.loss_mask: 1.8693, decode.d1.loss_dice: 3.8064, decode.d2.loss_cls: 4.9432, decode.d2.loss_mask: 1.8287, decode.d2.loss_dice: 3.8454, decode.d3.loss_cls: 4.9207, decode.d3.loss_mask: 1.8191, decode.d3.loss_dice: 3.8504, decode.d4.loss_cls: 4.8619, decode.d4.loss_mask: 1.7989, decode.d4.loss_dice: 3.8808, decode.d5.loss_cls: 4.8541, decode.d5.loss_mask: 1.8148, decode.d5.loss_dice: 3.9329, decode.d6.loss_cls: 4.8677, decode.d6.loss_mask: 1.8354, decode.d6.loss_dice: 3.9674, decode.d7.loss_cls: 4.8367, decode.d7.loss_mask: 1.8728, decode.d7.loss_dice: 4.0340, decode.d8.loss_cls: 4.8376, decode.d8.loss_mask: 1.9226, decode.d8.loss_dice: 4.0940, loss: 112.7217 2022-06-21 13:50:51,004 - mmseg - INFO - Iter [400/40000] lr: 4.056e-06, eta: 5:08:44, time: 0.457, data_time: 0.011, memory: 40943, decode.loss_cls: 4.8537, decode.loss_mask: 1.8321, decode.loss_dice: 3.9137, decode.d0.loss_cls: 10.5273, decode.d0.loss_mask: 1.8659, decode.d0.loss_dice: 3.7353, decode.d1.loss_cls: 5.1662, decode.d1.loss_mask: 1.8359, decode.d1.loss_dice: 3.7311, decode.d2.loss_cls: 4.9461, decode.d2.loss_mask: 1.8142, decode.d2.loss_dice: 3.7409, decode.d3.loss_cls: 4.9203, decode.d3.loss_mask: 1.8026, decode.d3.loss_dice: 3.7198, decode.d4.loss_cls: 4.8784, decode.d4.loss_mask: 1.7876, decode.d4.loss_dice: 3.7266, decode.d5.loss_cls: 4.8440, decode.d5.loss_mask: 1.7917, decode.d5.loss_dice: 3.7755, decode.d6.loss_cls: 4.8604, decode.d6.loss_mask: 1.7902, decode.d6.loss_dice: 3.7839, decode.d7.loss_cls: 4.8354, decode.d7.loss_mask: 1.7905, decode.d7.loss_dice: 3.8209, decode.d8.loss_cls: 4.8456, decode.d8.loss_mask: 1.8131, decode.d8.loss_dice: 3.8664, loss: 110.6151 2022-06-21 13:51:13,808 - mmseg - INFO - Iter [450/40000] lr: 4.558e-06, eta: 5:07:25, time: 0.455, data_time: 0.010, memory: 40943, decode.loss_cls: 4.7547, decode.loss_mask: 1.7932, decode.loss_dice: 3.7576, decode.d0.loss_cls: 10.5148, decode.d0.loss_mask: 1.8425, decode.d0.loss_dice: 3.6956, decode.d1.loss_cls: 5.0351, decode.d1.loss_mask: 1.8195, decode.d1.loss_dice: 3.6618, decode.d2.loss_cls: 4.8497, decode.d2.loss_mask: 1.8080, decode.d2.loss_dice: 3.6568, decode.d3.loss_cls: 4.8138, decode.d3.loss_mask: 1.8015, decode.d3.loss_dice: 3.6252, decode.d4.loss_cls: 4.7821, decode.d4.loss_mask: 1.8053, decode.d4.loss_dice: 3.6286, decode.d5.loss_cls: 4.7602, decode.d5.loss_mask: 1.8000, decode.d5.loss_dice: 3.6559, decode.d6.loss_cls: 4.7824, decode.d6.loss_mask: 1.7997, decode.d6.loss_dice: 3.6652, decode.d7.loss_cls: 4.7516, decode.d7.loss_mask: 1.8022, decode.d7.loss_dice: 3.6862, decode.d8.loss_cls: 4.7551, decode.d8.loss_mask: 1.7952, decode.d8.loss_dice: 3.7253, loss: 108.6248 2022-06-21 13:51:36,515 - mmseg - INFO - Iter [500/40000] lr: 5.059e-06, eta: 5:06:15, time: 0.454, data_time: 0.011, memory: 40943, decode.loss_cls: 4.5442, decode.loss_mask: 1.8395, decode.loss_dice: 3.6535, decode.d0.loss_cls: 10.5224, decode.d0.loss_mask: 1.8633, decode.d0.loss_dice: 3.6171, decode.d1.loss_cls: 4.8453, decode.d1.loss_mask: 1.8504, decode.d1.loss_dice: 3.5749, decode.d2.loss_cls: 4.6582, decode.d2.loss_mask: 1.8434, decode.d2.loss_dice: 3.5692, decode.d3.loss_cls: 4.6021, decode.d3.loss_mask: 1.8334, decode.d3.loss_dice: 3.5356, decode.d4.loss_cls: 4.5669, decode.d4.loss_mask: 1.8423, decode.d4.loss_dice: 3.5351, decode.d5.loss_cls: 4.5514, decode.d5.loss_mask: 1.8469, decode.d5.loss_dice: 3.5501, decode.d6.loss_cls: 4.5615, decode.d6.loss_mask: 1.8416, decode.d6.loss_dice: 3.5766, decode.d7.loss_cls: 4.5431, decode.d7.loss_mask: 1.8487, decode.d7.loss_dice: 3.5895, decode.d8.loss_cls: 4.5388, decode.d8.loss_mask: 1.8429, decode.d8.loss_dice: 3.6197, loss: 106.2075 2022-06-21 13:51:59,161 - mmseg - INFO - Iter [550/40000] lr: 5.559e-06, eta: 5:05:07, time: 0.453, data_time: 0.010, memory: 40943, decode.loss_cls: 4.5842, decode.loss_mask: 1.8175, decode.loss_dice: 3.5901, decode.d0.loss_cls: 10.5207, decode.d0.loss_mask: 1.8332, decode.d0.loss_dice: 3.5977, decode.d1.loss_cls: 4.8747, decode.d1.loss_mask: 1.8195, decode.d1.loss_dice: 3.5514, decode.d2.loss_cls: 4.6972, decode.d2.loss_mask: 1.8128, decode.d2.loss_dice: 3.5332, decode.d3.loss_cls: 4.6521, decode.d3.loss_mask: 1.8143, decode.d3.loss_dice: 3.4876, decode.d4.loss_cls: 4.6146, decode.d4.loss_mask: 1.8271, decode.d4.loss_dice: 3.4872, decode.d5.loss_cls: 4.5937, decode.d5.loss_mask: 1.8249, decode.d5.loss_dice: 3.5043, decode.d6.loss_cls: 4.5964, decode.d6.loss_mask: 1.8238, decode.d6.loss_dice: 3.5239, decode.d7.loss_cls: 4.5914, decode.d7.loss_mask: 1.8217, decode.d7.loss_dice: 3.5285, decode.d8.loss_cls: 4.5888, decode.d8.loss_mask: 1.8212, decode.d8.loss_dice: 3.5513, loss: 105.8849 2022-06-21 13:52:24,247 - mmseg - INFO - Iter [600/40000] lr: 6.058e-06, eta: 5:06:46, time: 0.501, data_time: 0.058, memory: 40943, decode.loss_cls: 4.4441, decode.loss_mask: 1.8474, decode.loss_dice: 3.4488, decode.d0.loss_cls: 10.5079, decode.d0.loss_mask: 1.8615, decode.d0.loss_dice: 3.5202, decode.d1.loss_cls: 4.7407, decode.d1.loss_mask: 1.8471, decode.d1.loss_dice: 3.4583, decode.d2.loss_cls: 4.5504, decode.d2.loss_mask: 1.8336, decode.d2.loss_dice: 3.4162, decode.d3.loss_cls: 4.5155, decode.d3.loss_mask: 1.8335, decode.d3.loss_dice: 3.3856, decode.d4.loss_cls: 4.4880, decode.d4.loss_mask: 1.8350, decode.d4.loss_dice: 3.3734, decode.d5.loss_cls: 4.4859, decode.d5.loss_mask: 1.8410, decode.d5.loss_dice: 3.3787, decode.d6.loss_cls: 4.4905, decode.d6.loss_mask: 1.8380, decode.d6.loss_dice: 3.3919, decode.d7.loss_cls: 4.4796, decode.d7.loss_mask: 1.8359, decode.d7.loss_dice: 3.4016, decode.d8.loss_cls: 4.4609, decode.d8.loss_mask: 1.8469, decode.d8.loss_dice: 3.4230, loss: 103.7809 2022-06-21 13:52:47,284 - mmseg - INFO - Iter [650/40000] lr: 6.555e-06, eta: 5:06:06, time: 0.462, data_time: 0.009, memory: 40943, decode.loss_cls: 4.5378, decode.loss_mask: 1.7780, decode.loss_dice: 3.4007, decode.d0.loss_cls: 10.5105, decode.d0.loss_mask: 1.7963, decode.d0.loss_dice: 3.5314, decode.d1.loss_cls: 4.7628, decode.d1.loss_mask: 1.7832, decode.d1.loss_dice: 3.4453, decode.d2.loss_cls: 4.5905, decode.d2.loss_mask: 1.7673, decode.d2.loss_dice: 3.3871, decode.d3.loss_cls: 4.5680, decode.d3.loss_mask: 1.7647, decode.d3.loss_dice: 3.3491, decode.d4.loss_cls: 4.5610, decode.d4.loss_mask: 1.7697, decode.d4.loss_dice: 3.3347, decode.d5.loss_cls: 4.5470, decode.d5.loss_mask: 1.7729, decode.d5.loss_dice: 3.3333, decode.d6.loss_cls: 4.5608, decode.d6.loss_mask: 1.7686, decode.d6.loss_dice: 3.3369, decode.d7.loss_cls: 4.5594, decode.d7.loss_mask: 1.7687, decode.d7.loss_dice: 3.3474, decode.d8.loss_cls: 4.5508, decode.d8.loss_mask: 1.7752, decode.d8.loss_dice: 3.3730, loss: 103.3323 2022-06-21 13:53:10,061 - mmseg - INFO - Iter [700/40000] lr: 7.051e-06, eta: 5:05:10, time: 0.455, data_time: 0.009, memory: 40943, decode.loss_cls: 4.4338, decode.loss_mask: 1.8090, decode.loss_dice: 3.2619, decode.d0.loss_cls: 10.4903, decode.d0.loss_mask: 1.8480, decode.d0.loss_dice: 3.4396, decode.d1.loss_cls: 4.6526, decode.d1.loss_mask: 1.8243, decode.d1.loss_dice: 3.3308, decode.d2.loss_cls: 4.5012, decode.d2.loss_mask: 1.8019, decode.d2.loss_dice: 3.2662, decode.d3.loss_cls: 4.4792, decode.d3.loss_mask: 1.8027, decode.d3.loss_dice: 3.2299, decode.d4.loss_cls: 4.4635, decode.d4.loss_mask: 1.8024, decode.d4.loss_dice: 3.2088, decode.d5.loss_cls: 4.4546, decode.d5.loss_mask: 1.8050, decode.d5.loss_dice: 3.2105, decode.d6.loss_cls: 4.4592, decode.d6.loss_mask: 1.8141, decode.d6.loss_dice: 3.2118, decode.d7.loss_cls: 4.4572, decode.d7.loss_mask: 1.8096, decode.d7.loss_dice: 3.1998, decode.d8.loss_cls: 4.4484, decode.d8.loss_mask: 1.8059, decode.d8.loss_dice: 3.2310, loss: 101.5532 2022-06-21 13:53:32,797 - mmseg - INFO - Iter [750/40000] lr: 7.546e-06, eta: 5:04:19, time: 0.455, data_time: 0.010, memory: 40943, decode.loss_cls: 4.5209, decode.loss_mask: 1.7612, decode.loss_dice: 3.1619, decode.d0.loss_cls: 10.4886, decode.d0.loss_mask: 1.8010, decode.d0.loss_dice: 3.4034, decode.d1.loss_cls: 4.7068, decode.d1.loss_mask: 1.7723, decode.d1.loss_dice: 3.2539, decode.d2.loss_cls: 4.5776, decode.d2.loss_mask: 1.7576, decode.d2.loss_dice: 3.1810, decode.d3.loss_cls: 4.5299, decode.d3.loss_mask: 1.7584, decode.d3.loss_dice: 3.1491, decode.d4.loss_cls: 4.5309, decode.d4.loss_mask: 1.7596, decode.d4.loss_dice: 3.1300, decode.d5.loss_cls: 4.5228, decode.d5.loss_mask: 1.7570, decode.d5.loss_dice: 3.1301, decode.d6.loss_cls: 4.5417, decode.d6.loss_mask: 1.7569, decode.d6.loss_dice: 3.1290, decode.d7.loss_cls: 4.5268, decode.d7.loss_mask: 1.7519, decode.d7.loss_dice: 3.1239, decode.d8.loss_cls: 4.5389, decode.d8.loss_mask: 1.7586, decode.d8.loss_dice: 3.1507, loss: 100.9325 2022-06-21 13:53:56,212 - mmseg - INFO - Iter [800/40000] lr: 8.039e-06, eta: 5:03:42, time: 0.460, data_time: 0.010, memory: 40943, decode.loss_cls: 4.4521, decode.loss_mask: 1.7136, decode.loss_dice: 3.0724, decode.d0.loss_cls: 10.4853, decode.d0.loss_mask: 1.7567, decode.d0.loss_dice: 3.3520, decode.d1.loss_cls: 4.6526, decode.d1.loss_mask: 1.7261, decode.d1.loss_dice: 3.1819, decode.d2.loss_cls: 4.5184, decode.d2.loss_mask: 1.7061, decode.d2.loss_dice: 3.1075, decode.d3.loss_cls: 4.4846, decode.d3.loss_mask: 1.7008, decode.d3.loss_dice: 3.0714, decode.d4.loss_cls: 4.4707, decode.d4.loss_mask: 1.6960, decode.d4.loss_dice: 3.0524, decode.d5.loss_cls: 4.4547, decode.d5.loss_mask: 1.7051, decode.d5.loss_dice: 3.0554, decode.d6.loss_cls: 4.4672, decode.d6.loss_mask: 1.7110, decode.d6.loss_dice: 3.0513, decode.d7.loss_cls: 4.4580, decode.d7.loss_mask: 1.7101, decode.d7.loss_dice: 3.0427, decode.d8.loss_cls: 4.4487, decode.d8.loss_mask: 1.7083, decode.d8.loss_dice: 3.0671, loss: 99.0802 2022-06-21 13:54:18,889 - mmseg - INFO - Iter [850/40000] lr: 8.532e-06, eta: 5:03:13, time: 0.462, data_time: 0.019, memory: 40943, decode.loss_cls: 4.4067, decode.loss_mask: 1.7129, decode.loss_dice: 3.0066, decode.d0.loss_cls: 10.4827, decode.d0.loss_mask: 1.7537, decode.d0.loss_dice: 3.2849, decode.d1.loss_cls: 4.6029, decode.d1.loss_mask: 1.7190, decode.d1.loss_dice: 3.1044, decode.d2.loss_cls: 4.4691, decode.d2.loss_mask: 1.7011, decode.d2.loss_dice: 3.0227, decode.d3.loss_cls: 4.4210, decode.d3.loss_mask: 1.7000, decode.d3.loss_dice: 2.9937, decode.d4.loss_cls: 4.4169, decode.d4.loss_mask: 1.6961, decode.d4.loss_dice: 2.9727, decode.d5.loss_cls: 4.4032, decode.d5.loss_mask: 1.6977, decode.d5.loss_dice: 2.9812, decode.d6.loss_cls: 4.4054, decode.d6.loss_mask: 1.7055, decode.d6.loss_dice: 2.9786, decode.d7.loss_cls: 4.4121, decode.d7.loss_mask: 1.7028, decode.d7.loss_dice: 2.9788, decode.d8.loss_cls: 4.4008, decode.d8.loss_mask: 1.7071, decode.d8.loss_dice: 2.9979, loss: 97.8382 2022-06-21 13:54:42,160 - mmseg - INFO - Iter [900/40000] lr: 9.022e-06, eta: 5:02:49, time: 0.464, data_time: 0.010, memory: 40943, decode.loss_cls: 4.2863, decode.loss_mask: 1.6838, decode.loss_dice: 2.8565, decode.d0.loss_cls: 10.4756, decode.d0.loss_mask: 1.7551, decode.d0.loss_dice: 3.1959, decode.d1.loss_cls: 4.4778, decode.d1.loss_mask: 1.6909, decode.d1.loss_dice: 2.9878, decode.d2.loss_cls: 4.3482, decode.d2.loss_mask: 1.6712, decode.d2.loss_dice: 2.9075, decode.d3.loss_cls: 4.3161, decode.d3.loss_mask: 1.6625, decode.d3.loss_dice: 2.8618, decode.d4.loss_cls: 4.2957, decode.d4.loss_mask: 1.6678, decode.d4.loss_dice: 2.8453, decode.d5.loss_cls: 4.2854, decode.d5.loss_mask: 1.6788, decode.d5.loss_dice: 2.8509, decode.d6.loss_cls: 4.2801, decode.d6.loss_mask: 1.6821, decode.d6.loss_dice: 2.8519, decode.d7.loss_cls: 4.2858, decode.d7.loss_mask: 1.6755, decode.d7.loss_dice: 2.8394, decode.d8.loss_cls: 4.2844, decode.d8.loss_mask: 1.6773, decode.d8.loss_dice: 2.8493, loss: 95.2269 2022-06-21 13:55:04,850 - mmseg - INFO - Iter [950/40000] lr: 9.512e-06, eta: 5:02:05, time: 0.455, data_time: 0.010, memory: 40943, decode.loss_cls: 4.2910, decode.loss_mask: 1.5807, decode.loss_dice: 2.7705, decode.d0.loss_cls: 10.4571, decode.d0.loss_mask: 1.6687, decode.d0.loss_dice: 3.1295, decode.d1.loss_cls: 4.4927, decode.d1.loss_mask: 1.5981, decode.d1.loss_dice: 2.8936, decode.d2.loss_cls: 4.3697, decode.d2.loss_mask: 1.5771, decode.d2.loss_dice: 2.8082, decode.d3.loss_cls: 4.3354, decode.d3.loss_mask: 1.5684, decode.d3.loss_dice: 2.7573, decode.d4.loss_cls: 4.3058, decode.d4.loss_mask: 1.5727, decode.d4.loss_dice: 2.7354, decode.d5.loss_cls: 4.2969, decode.d5.loss_mask: 1.5630, decode.d5.loss_dice: 2.7432, decode.d6.loss_cls: 4.2967, decode.d6.loss_mask: 1.5655, decode.d6.loss_dice: 2.7376, decode.d7.loss_cls: 4.2968, decode.d7.loss_mask: 1.5742, decode.d7.loss_dice: 2.7455, decode.d8.loss_cls: 4.2907, decode.d8.loss_mask: 1.5707, decode.d8.loss_dice: 2.7567, loss: 93.3494 2022-06-21 13:55:27,700 - mmseg - INFO - Saving checkpoint at 1000 iterations 2022-06-21 13:55:36,310 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 13:55:36,310 - mmseg - INFO - Iter [1000/40000] lr: 1.000e-05, eta: 5:07:03, time: 0.629, data_time: 0.009, memory: 40943, decode.loss_cls: 4.3470, decode.loss_mask: 1.5094, decode.loss_dice: 2.6803, decode.d0.loss_cls: 10.4515, decode.d0.loss_mask: 1.6006, decode.d0.loss_dice: 3.0632, decode.d1.loss_cls: 4.5481, decode.d1.loss_mask: 1.5227, decode.d1.loss_dice: 2.8094, decode.d2.loss_cls: 4.4313, decode.d2.loss_mask: 1.5072, decode.d2.loss_dice: 2.7207, decode.d3.loss_cls: 4.3868, decode.d3.loss_mask: 1.5002, decode.d3.loss_dice: 2.6776, decode.d4.loss_cls: 4.3596, decode.d4.loss_mask: 1.5062, decode.d4.loss_dice: 2.6675, decode.d5.loss_cls: 4.3461, decode.d5.loss_mask: 1.4984, decode.d5.loss_dice: 2.6535, decode.d6.loss_cls: 4.3362, decode.d6.loss_mask: 1.5060, decode.d6.loss_dice: 2.6502, decode.d7.loss_cls: 4.3360, decode.d7.loss_mask: 1.5121, decode.d7.loss_dice: 2.6611, decode.d8.loss_cls: 4.3432, decode.d8.loss_mask: 1.5052, decode.d8.loss_dice: 2.6586, loss: 92.2957 2022-06-21 13:55:59,282 - mmseg - INFO - Iter [1050/40000] lr: 1.049e-05, eta: 5:06:15, time: 0.459, data_time: 0.009, memory: 40943, decode.loss_cls: 4.1690, decode.loss_mask: 1.5125, decode.loss_dice: 2.5331, decode.d0.loss_cls: 10.4444, decode.d0.loss_mask: 1.5912, decode.d0.loss_dice: 2.9419, decode.d1.loss_cls: 4.4076, decode.d1.loss_mask: 1.5191, decode.d1.loss_dice: 2.6820, decode.d2.loss_cls: 4.2771, decode.d2.loss_mask: 1.5018, decode.d2.loss_dice: 2.5817, decode.d3.loss_cls: 4.2223, decode.d3.loss_mask: 1.4995, decode.d3.loss_dice: 2.5368, decode.d4.loss_cls: 4.1980, decode.d4.loss_mask: 1.4984, decode.d4.loss_dice: 2.5229, decode.d5.loss_cls: 4.1778, decode.d5.loss_mask: 1.5012, decode.d5.loss_dice: 2.5194, decode.d6.loss_cls: 4.1667, decode.d6.loss_mask: 1.5038, decode.d6.loss_dice: 2.5021, decode.d7.loss_cls: 4.1698, decode.d7.loss_mask: 1.5047, decode.d7.loss_dice: 2.5071, decode.d8.loss_cls: 4.1626, decode.d8.loss_mask: 1.5172, decode.d8.loss_dice: 2.5194, loss: 89.3913 2022-06-21 13:56:21,913 - mmseg - INFO - Iter [1100/40000] lr: 1.097e-05, eta: 5:05:16, time: 0.452, data_time: 0.010, memory: 40943, decode.loss_cls: 4.1600, decode.loss_mask: 1.3981, decode.loss_dice: 2.3821, decode.d0.loss_cls: 10.4201, decode.d0.loss_mask: 1.5115, decode.d0.loss_dice: 2.8661, decode.d1.loss_cls: 4.4290, decode.d1.loss_mask: 1.4194, decode.d1.loss_dice: 2.5549, decode.d2.loss_cls: 4.2814, decode.d2.loss_mask: 1.3875, decode.d2.loss_dice: 2.4489, decode.d3.loss_cls: 4.2165, decode.d3.loss_mask: 1.4086, decode.d3.loss_dice: 2.4088, decode.d4.loss_cls: 4.1810, decode.d4.loss_mask: 1.3948, decode.d4.loss_dice: 2.3787, decode.d5.loss_cls: 4.1691, decode.d5.loss_mask: 1.3870, decode.d5.loss_dice: 2.3668, decode.d6.loss_cls: 4.1643, decode.d6.loss_mask: 1.3902, decode.d6.loss_dice: 2.3550, decode.d7.loss_cls: 4.1651, decode.d7.loss_mask: 1.3975, decode.d7.loss_dice: 2.3617, decode.d8.loss_cls: 4.1592, decode.d8.loss_mask: 1.4010, decode.d8.loss_dice: 2.3676, loss: 86.9319 2022-06-21 13:56:46,862 - mmseg - INFO - Iter [1150/40000] lr: 1.146e-05, eta: 5:05:41, time: 0.500, data_time: 0.059, memory: 40943, decode.loss_cls: 3.9441, decode.loss_mask: 1.3121, decode.loss_dice: 2.2225, decode.d0.loss_cls: 10.3883, decode.d0.loss_mask: 1.4281, decode.d0.loss_dice: 2.7386, decode.d1.loss_cls: 4.2752, decode.d1.loss_mask: 1.3238, decode.d1.loss_dice: 2.4042, decode.d2.loss_cls: 4.1098, decode.d2.loss_mask: 1.2945, decode.d2.loss_dice: 2.2830, decode.d3.loss_cls: 4.0186, decode.d3.loss_mask: 1.3038, decode.d3.loss_dice: 2.2441, decode.d4.loss_cls: 3.9797, decode.d4.loss_mask: 1.3004, decode.d4.loss_dice: 2.2306, decode.d5.loss_cls: 3.9587, decode.d5.loss_mask: 1.3000, decode.d5.loss_dice: 2.2225, decode.d6.loss_cls: 3.9405, decode.d6.loss_mask: 1.3020, decode.d6.loss_dice: 2.2146, decode.d7.loss_cls: 3.9419, decode.d7.loss_mask: 1.3106, decode.d7.loss_dice: 2.2112, decode.d8.loss_cls: 3.9436, decode.d8.loss_mask: 1.3044, decode.d8.loss_dice: 2.1999, loss: 82.6514 2022-06-21 13:57:09,434 - mmseg - INFO - Iter [1200/40000] lr: 1.194e-05, eta: 5:04:44, time: 0.452, data_time: 0.010, memory: 40943, decode.loss_cls: 4.0024, decode.loss_mask: 1.2834, decode.loss_dice: 2.1429, decode.d0.loss_cls: 10.3914, decode.d0.loss_mask: 1.3934, decode.d0.loss_dice: 2.6945, decode.d1.loss_cls: 4.3714, decode.d1.loss_mask: 1.2894, decode.d1.loss_dice: 2.3261, decode.d2.loss_cls: 4.1927, decode.d2.loss_mask: 1.2724, decode.d2.loss_dice: 2.2095, decode.d3.loss_cls: 4.0971, decode.d3.loss_mask: 1.2817, decode.d3.loss_dice: 2.1700, decode.d4.loss_cls: 4.0466, decode.d4.loss_mask: 1.2789, decode.d4.loss_dice: 2.1602, decode.d5.loss_cls: 4.0164, decode.d5.loss_mask: 1.2815, decode.d5.loss_dice: 2.1530, decode.d6.loss_cls: 3.9955, decode.d6.loss_mask: 1.2776, decode.d6.loss_dice: 2.1323, decode.d7.loss_cls: 3.9971, decode.d7.loss_mask: 1.2795, decode.d7.loss_dice: 2.1372, decode.d8.loss_cls: 3.9945, decode.d8.loss_mask: 1.2721, decode.d8.loss_dice: 2.1393, loss: 82.2801 2022-06-21 13:57:31,769 - mmseg - INFO - Iter [1250/40000] lr: 1.242e-05, eta: 5:03:43, time: 0.447, data_time: 0.010, memory: 40943, decode.loss_cls: 3.8908, decode.loss_mask: 1.2616, decode.loss_dice: 2.0816, decode.d0.loss_cls: 10.3674, decode.d0.loss_mask: 1.3700, decode.d0.loss_dice: 2.6252, decode.d1.loss_cls: 4.2769, decode.d1.loss_mask: 1.2755, decode.d1.loss_dice: 2.2535, decode.d2.loss_cls: 4.1007, decode.d2.loss_mask: 1.2657, decode.d2.loss_dice: 2.1486, decode.d3.loss_cls: 4.0175, decode.d3.loss_mask: 1.2752, decode.d3.loss_dice: 2.1051, decode.d4.loss_cls: 3.9612, decode.d4.loss_mask: 1.2655, decode.d4.loss_dice: 2.0897, decode.d5.loss_cls: 3.9241, decode.d5.loss_mask: 1.2597, decode.d5.loss_dice: 2.0833, decode.d6.loss_cls: 3.8981, decode.d6.loss_mask: 1.2643, decode.d6.loss_dice: 2.0693, decode.d7.loss_cls: 3.8949, decode.d7.loss_mask: 1.2622, decode.d7.loss_dice: 2.0690, decode.d8.loss_cls: 3.8741, decode.d8.loss_mask: 1.2674, decode.d8.loss_dice: 2.0745, loss: 80.5727 2022-06-21 13:57:54,794 - mmseg - INFO - Iter [1300/40000] lr: 1.290e-05, eta: 5:03:05, time: 0.461, data_time: 0.010, memory: 40943, decode.loss_cls: 3.8394, decode.loss_mask: 1.2568, decode.loss_dice: 2.0065, decode.d0.loss_cls: 10.3345, decode.d0.loss_mask: 1.3518, decode.d0.loss_dice: 2.5415, decode.d1.loss_cls: 4.2481, decode.d1.loss_mask: 1.2716, decode.d1.loss_dice: 2.1805, decode.d2.loss_cls: 4.0517, decode.d2.loss_mask: 1.2490, decode.d2.loss_dice: 2.0602, decode.d3.loss_cls: 3.9527, decode.d3.loss_mask: 1.2519, decode.d3.loss_dice: 2.0162, decode.d4.loss_cls: 3.8920, decode.d4.loss_mask: 1.2464, decode.d4.loss_dice: 2.0061, decode.d5.loss_cls: 3.8602, decode.d5.loss_mask: 1.2562, decode.d5.loss_dice: 2.0058, decode.d6.loss_cls: 3.8403, decode.d6.loss_mask: 1.2549, decode.d6.loss_dice: 1.9994, decode.d7.loss_cls: 3.8327, decode.d7.loss_mask: 1.2609, decode.d7.loss_dice: 1.9948, decode.d8.loss_cls: 3.8212, decode.d8.loss_mask: 1.2601, decode.d8.loss_dice: 2.0055, loss: 79.1489 2022-06-21 13:58:17,533 - mmseg - INFO - Iter [1350/40000] lr: 1.338e-05, eta: 5:02:20, time: 0.455, data_time: 0.010, memory: 40943, decode.loss_cls: 3.7659, decode.loss_mask: 1.2355, decode.loss_dice: 1.9679, decode.d0.loss_cls: 10.3112, decode.d0.loss_mask: 1.2995, decode.d0.loss_dice: 2.4774, decode.d1.loss_cls: 4.2146, decode.d1.loss_mask: 1.2219, decode.d1.loss_dice: 2.1159, decode.d2.loss_cls: 4.0065, decode.d2.loss_mask: 1.2103, decode.d2.loss_dice: 2.0059, decode.d3.loss_cls: 3.9065, decode.d3.loss_mask: 1.2216, decode.d3.loss_dice: 1.9646, decode.d4.loss_cls: 3.8382, decode.d4.loss_mask: 1.2077, decode.d4.loss_dice: 1.9491, decode.d5.loss_cls: 3.8128, decode.d5.loss_mask: 1.2125, decode.d5.loss_dice: 1.9464, decode.d6.loss_cls: 3.7858, decode.d6.loss_mask: 1.2198, decode.d6.loss_dice: 1.9452, decode.d7.loss_cls: 3.7823, decode.d7.loss_mask: 1.2248, decode.d7.loss_dice: 1.9376, decode.d8.loss_cls: 3.7526, decode.d8.loss_mask: 1.2270, decode.d8.loss_dice: 1.9463, loss: 77.7134 2022-06-21 13:58:39,906 - mmseg - INFO - Iter [1400/40000] lr: 1.386e-05, eta: 5:01:27, time: 0.448, data_time: 0.009, memory: 40943, decode.loss_cls: 3.6935, decode.loss_mask: 1.2155, decode.loss_dice: 1.9104, decode.d0.loss_cls: 10.3012, decode.d0.loss_mask: 1.2856, decode.d0.loss_dice: 2.4380, decode.d1.loss_cls: 4.1172, decode.d1.loss_mask: 1.2062, decode.d1.loss_dice: 2.0652, decode.d2.loss_cls: 3.9161, decode.d2.loss_mask: 1.1980, decode.d2.loss_dice: 1.9614, decode.d3.loss_cls: 3.8253, decode.d3.loss_mask: 1.2079, decode.d3.loss_dice: 1.9207, decode.d4.loss_cls: 3.7529, decode.d4.loss_mask: 1.1999, decode.d4.loss_dice: 1.9148, decode.d5.loss_cls: 3.7341, decode.d5.loss_mask: 1.1968, decode.d5.loss_dice: 1.9101, decode.d6.loss_cls: 3.7042, decode.d6.loss_mask: 1.2051, decode.d6.loss_dice: 1.8910, decode.d7.loss_cls: 3.6988, decode.d7.loss_mask: 1.2086, decode.d7.loss_dice: 1.9049, decode.d8.loss_cls: 3.6730, decode.d8.loss_mask: 1.2116, decode.d8.loss_dice: 1.8999, loss: 76.3679 2022-06-21 13:59:02,751 - mmseg - INFO - Iter [1450/40000] lr: 1.434e-05, eta: 5:00:47, time: 0.456, data_time: 0.010, memory: 40943, decode.loss_cls: 3.5576, decode.loss_mask: 1.1903, decode.loss_dice: 1.8561, decode.d0.loss_cls: 10.2828, decode.d0.loss_mask: 1.2571, decode.d0.loss_dice: 2.3697, decode.d1.loss_cls: 4.0301, decode.d1.loss_mask: 1.1915, decode.d1.loss_dice: 2.0057, decode.d2.loss_cls: 3.8185, decode.d2.loss_mask: 1.1783, decode.d2.loss_dice: 1.9094, decode.d3.loss_cls: 3.7042, decode.d3.loss_mask: 1.1904, decode.d3.loss_dice: 1.8709, decode.d4.loss_cls: 3.6472, decode.d4.loss_mask: 1.1826, decode.d4.loss_dice: 1.8564, decode.d5.loss_cls: 3.6208, decode.d5.loss_mask: 1.1814, decode.d5.loss_dice: 1.8554, decode.d6.loss_cls: 3.5908, decode.d6.loss_mask: 1.1791, decode.d6.loss_dice: 1.8448, decode.d7.loss_cls: 3.5751, decode.d7.loss_mask: 1.1846, decode.d7.loss_dice: 1.8506, decode.d8.loss_cls: 3.5635, decode.d8.loss_mask: 1.1838, decode.d8.loss_dice: 1.8538, loss: 74.5823 2022-06-21 13:59:25,676 - mmseg - INFO - Iter [1500/40000] lr: 1.481e-05, eta: 5:00:11, time: 0.458, data_time: 0.009, memory: 40943, decode.loss_cls: 3.5873, decode.loss_mask: 1.1761, decode.loss_dice: 1.8091, decode.d0.loss_cls: 10.2501, decode.d0.loss_mask: 1.2698, decode.d0.loss_dice: 2.3364, decode.d1.loss_cls: 4.0467, decode.d1.loss_mask: 1.1732, decode.d1.loss_dice: 1.9502, decode.d2.loss_cls: 3.8239, decode.d2.loss_mask: 1.1718, decode.d2.loss_dice: 1.8529, decode.d3.loss_cls: 3.7177, decode.d3.loss_mask: 1.1752, decode.d3.loss_dice: 1.8180, decode.d4.loss_cls: 3.6528, decode.d4.loss_mask: 1.1767, decode.d4.loss_dice: 1.8140, decode.d5.loss_cls: 3.6192, decode.d5.loss_mask: 1.1759, decode.d5.loss_dice: 1.8091, decode.d6.loss_cls: 3.5916, decode.d6.loss_mask: 1.1811, decode.d6.loss_dice: 1.7947, decode.d7.loss_cls: 3.5878, decode.d7.loss_mask: 1.1836, decode.d7.loss_dice: 1.8110, decode.d8.loss_cls: 3.5711, decode.d8.loss_mask: 1.1746, decode.d8.loss_dice: 1.8149, loss: 74.1168 2022-06-21 13:59:47,994 - mmseg - INFO - Iter [1550/40000] lr: 1.480e-05, eta: 4:59:21, time: 0.447, data_time: 0.009, memory: 40943, decode.loss_cls: 3.4320, decode.loss_mask: 1.1982, decode.loss_dice: 1.7893, decode.d0.loss_cls: 10.2252, decode.d0.loss_mask: 1.2629, decode.d0.loss_dice: 2.2751, decode.d1.loss_cls: 3.9137, decode.d1.loss_mask: 1.1923, decode.d1.loss_dice: 1.9068, decode.d2.loss_cls: 3.6736, decode.d2.loss_mask: 1.1885, decode.d2.loss_dice: 1.8183, decode.d3.loss_cls: 3.5715, decode.d3.loss_mask: 1.1857, decode.d3.loss_dice: 1.7841, decode.d4.loss_cls: 3.5147, decode.d4.loss_mask: 1.1784, decode.d4.loss_dice: 1.7789, decode.d5.loss_cls: 3.4729, decode.d5.loss_mask: 1.1907, decode.d5.loss_dice: 1.7742, decode.d6.loss_cls: 3.4598, decode.d6.loss_mask: 1.1918, decode.d6.loss_dice: 1.7713, decode.d7.loss_cls: 3.4454, decode.d7.loss_mask: 1.2034, decode.d7.loss_dice: 1.7825, decode.d8.loss_cls: 3.4267, decode.d8.loss_mask: 1.1959, decode.d8.loss_dice: 1.7853, loss: 72.5893 2022-06-21 14:00:10,450 - mmseg - INFO - Iter [1600/40000] lr: 1.478e-05, eta: 4:58:36, time: 0.449, data_time: 0.009, memory: 40943, decode.loss_cls: 3.4210, decode.loss_mask: 1.1629, decode.loss_dice: 1.7594, decode.d0.loss_cls: 10.1920, decode.d0.loss_mask: 1.2351, decode.d0.loss_dice: 2.2441, decode.d1.loss_cls: 3.8988, decode.d1.loss_mask: 1.1650, decode.d1.loss_dice: 1.8875, decode.d2.loss_cls: 3.6635, decode.d2.loss_mask: 1.1625, decode.d2.loss_dice: 1.8077, decode.d3.loss_cls: 3.5546, decode.d3.loss_mask: 1.1613, decode.d3.loss_dice: 1.7691, decode.d4.loss_cls: 3.4933, decode.d4.loss_mask: 1.1567, decode.d4.loss_dice: 1.7626, decode.d5.loss_cls: 3.4533, decode.d5.loss_mask: 1.1578, decode.d5.loss_dice: 1.7604, decode.d6.loss_cls: 3.4280, decode.d6.loss_mask: 1.1671, decode.d6.loss_dice: 1.7496, decode.d7.loss_cls: 3.4242, decode.d7.loss_mask: 1.1635, decode.d7.loss_dice: 1.7581, decode.d8.loss_cls: 3.4030, decode.d8.loss_mask: 1.1585, decode.d8.loss_dice: 1.7676, loss: 71.8884 2022-06-21 14:00:33,195 - mmseg - INFO - Iter [1650/40000] lr: 1.477e-05, eta: 4:58:00, time: 0.455, data_time: 0.010, memory: 40943, decode.loss_cls: 3.3808, decode.loss_mask: 1.1484, decode.loss_dice: 1.7075, decode.d0.loss_cls: 10.1668, decode.d0.loss_mask: 1.2151, decode.d0.loss_dice: 2.1867, decode.d1.loss_cls: 3.8457, decode.d1.loss_mask: 1.1403, decode.d1.loss_dice: 1.8207, decode.d2.loss_cls: 3.6209, decode.d2.loss_mask: 1.1283, decode.d2.loss_dice: 1.7313, decode.d3.loss_cls: 3.5257, decode.d3.loss_mask: 1.1275, decode.d3.loss_dice: 1.6939, decode.d4.loss_cls: 3.4673, decode.d4.loss_mask: 1.1287, decode.d4.loss_dice: 1.6973, decode.d5.loss_cls: 3.4317, decode.d5.loss_mask: 1.1297, decode.d5.loss_dice: 1.6990, decode.d6.loss_cls: 3.3973, decode.d6.loss_mask: 1.1398, decode.d6.loss_dice: 1.6919, decode.d7.loss_cls: 3.3914, decode.d7.loss_mask: 1.1364, decode.d7.loss_dice: 1.6920, decode.d8.loss_cls: 3.3715, decode.d8.loss_mask: 1.1413, decode.d8.loss_dice: 1.6995, loss: 70.6544 2022-06-21 14:00:58,394 - mmseg - INFO - Iter [1700/40000] lr: 1.475e-05, eta: 4:58:18, time: 0.503, data_time: 0.058, memory: 40943, decode.loss_cls: 3.3819, decode.loss_mask: 1.1356, decode.loss_dice: 1.7561, decode.d0.loss_cls: 10.1395, decode.d0.loss_mask: 1.1977, decode.d0.loss_dice: 2.2246, decode.d1.loss_cls: 3.8569, decode.d1.loss_mask: 1.1415, decode.d1.loss_dice: 1.8709, decode.d2.loss_cls: 3.6230, decode.d2.loss_mask: 1.1361, decode.d2.loss_dice: 1.7786, decode.d3.loss_cls: 3.5188, decode.d3.loss_mask: 1.1325, decode.d3.loss_dice: 1.7516, decode.d4.loss_cls: 3.4509, decode.d4.loss_mask: 1.1328, decode.d4.loss_dice: 1.7524, decode.d5.loss_cls: 3.4201, decode.d5.loss_mask: 1.1310, decode.d5.loss_dice: 1.7549, decode.d6.loss_cls: 3.3977, decode.d6.loss_mask: 1.1341, decode.d6.loss_dice: 1.7378, decode.d7.loss_cls: 3.3881, decode.d7.loss_mask: 1.1349, decode.d7.loss_dice: 1.7536, decode.d8.loss_cls: 3.3682, decode.d8.loss_mask: 1.1272, decode.d8.loss_dice: 1.7532, loss: 71.0823 2022-06-21 14:01:21,465 - mmseg - INFO - Iter [1750/40000] lr: 1.473e-05, eta: 4:57:49, time: 0.462, data_time: 0.010, memory: 40943, decode.loss_cls: 3.3368, decode.loss_mask: 1.1336, decode.loss_dice: 1.6917, decode.d0.loss_cls: 10.1303, decode.d0.loss_mask: 1.2072, decode.d0.loss_dice: 2.1455, decode.d1.loss_cls: 3.8209, decode.d1.loss_mask: 1.1291, decode.d1.loss_dice: 1.7948, decode.d2.loss_cls: 3.5818, decode.d2.loss_mask: 1.1378, decode.d2.loss_dice: 1.7147, decode.d3.loss_cls: 3.4671, decode.d3.loss_mask: 1.1254, decode.d3.loss_dice: 1.6696, decode.d4.loss_cls: 3.4095, decode.d4.loss_mask: 1.1330, decode.d4.loss_dice: 1.6680, decode.d5.loss_cls: 3.3745, decode.d5.loss_mask: 1.1300, decode.d5.loss_dice: 1.6707, decode.d6.loss_cls: 3.3563, decode.d6.loss_mask: 1.1256, decode.d6.loss_dice: 1.6583, decode.d7.loss_cls: 3.3494, decode.d7.loss_mask: 1.1281, decode.d7.loss_dice: 1.6681, decode.d8.loss_cls: 3.3199, decode.d8.loss_mask: 1.1324, decode.d8.loss_dice: 1.6783, loss: 69.8885 2022-06-21 14:01:44,675 - mmseg - INFO - Iter [1800/40000] lr: 1.471e-05, eta: 4:57:21, time: 0.463, data_time: 0.009, memory: 40943, decode.loss_cls: 3.2821, decode.loss_mask: 1.1344, decode.loss_dice: 1.6808, decode.d0.loss_cls: 10.1000, decode.d0.loss_mask: 1.1998, decode.d0.loss_dice: 2.1412, decode.d1.loss_cls: 3.8043, decode.d1.loss_mask: 1.1320, decode.d1.loss_dice: 1.7877, decode.d2.loss_cls: 3.5552, decode.d2.loss_mask: 1.1346, decode.d2.loss_dice: 1.7146, decode.d3.loss_cls: 3.4411, decode.d3.loss_mask: 1.1352, decode.d3.loss_dice: 1.6893, decode.d4.loss_cls: 3.3738, decode.d4.loss_mask: 1.1293, decode.d4.loss_dice: 1.6812, decode.d5.loss_cls: 3.3315, decode.d5.loss_mask: 1.1332, decode.d5.loss_dice: 1.6782, decode.d6.loss_cls: 3.3067, decode.d6.loss_mask: 1.1346, decode.d6.loss_dice: 1.6679, decode.d7.loss_cls: 3.2976, decode.d7.loss_mask: 1.1285, decode.d7.loss_dice: 1.6726, decode.d8.loss_cls: 3.2719, decode.d8.loss_mask: 1.1372, decode.d8.loss_dice: 1.6847, loss: 69.5613 2022-06-21 14:02:08,225 - mmseg - INFO - Iter [1850/40000] lr: 1.469e-05, eta: 4:57:03, time: 0.473, data_time: 0.011, memory: 40943, decode.loss_cls: 3.1964, decode.loss_mask: 1.0946, decode.loss_dice: 1.6696, decode.d0.loss_cls: 10.0665, decode.d0.loss_mask: 1.1472, decode.d0.loss_dice: 2.1146, decode.d1.loss_cls: 3.7355, decode.d1.loss_mask: 1.0942, decode.d1.loss_dice: 1.7734, decode.d2.loss_cls: 3.4787, decode.d2.loss_mask: 1.0847, decode.d2.loss_dice: 1.6953, decode.d3.loss_cls: 3.3579, decode.d3.loss_mask: 1.0865, decode.d3.loss_dice: 1.6647, decode.d4.loss_cls: 3.2889, decode.d4.loss_mask: 1.0796, decode.d4.loss_dice: 1.6540, decode.d5.loss_cls: 3.2396, decode.d5.loss_mask: 1.0846, decode.d5.loss_dice: 1.6619, decode.d6.loss_cls: 3.2214, decode.d6.loss_mask: 1.0831, decode.d6.loss_dice: 1.6557, decode.d7.loss_cls: 3.2104, decode.d7.loss_mask: 1.0989, decode.d7.loss_dice: 1.6617, decode.d8.loss_cls: 3.1923, decode.d8.loss_mask: 1.0882, decode.d8.loss_dice: 1.6591, loss: 68.1390 2022-06-21 14:02:30,879 - mmseg - INFO - Iter [1900/40000] lr: 1.467e-05, eta: 4:56:25, time: 0.452, data_time: 0.010, memory: 40943, decode.loss_cls: 3.2592, decode.loss_mask: 1.1124, decode.loss_dice: 1.6673, decode.d0.loss_cls: 10.0476, decode.d0.loss_mask: 1.1677, decode.d0.loss_dice: 2.1312, decode.d1.loss_cls: 3.8144, decode.d1.loss_mask: 1.1097, decode.d1.loss_dice: 1.7718, decode.d2.loss_cls: 3.5604, decode.d2.loss_mask: 1.1017, decode.d2.loss_dice: 1.6906, decode.d3.loss_cls: 3.4216, decode.d3.loss_mask: 1.1047, decode.d3.loss_dice: 1.6591, decode.d4.loss_cls: 3.3471, decode.d4.loss_mask: 1.1119, decode.d4.loss_dice: 1.6647, decode.d5.loss_cls: 3.3003, decode.d5.loss_mask: 1.1177, decode.d5.loss_dice: 1.6636, decode.d6.loss_cls: 3.2774, decode.d6.loss_mask: 1.1111, decode.d6.loss_dice: 1.6511, decode.d7.loss_cls: 3.2622, decode.d7.loss_mask: 1.1019, decode.d7.loss_dice: 1.6652, decode.d8.loss_cls: 3.2482, decode.d8.loss_mask: 1.1083, decode.d8.loss_dice: 1.6728, loss: 68.9230 2022-06-21 14:02:53,730 - mmseg - INFO - Iter [1950/40000] lr: 1.465e-05, eta: 4:55:53, time: 0.458, data_time: 0.011, memory: 40943, decode.loss_cls: 3.1692, decode.loss_mask: 1.1302, decode.loss_dice: 1.6381, decode.d0.loss_cls: 10.0237, decode.d0.loss_mask: 1.1899, decode.d0.loss_dice: 2.0717, decode.d1.loss_cls: 3.6842, decode.d1.loss_mask: 1.1329, decode.d1.loss_dice: 1.7455, decode.d2.loss_cls: 3.4403, decode.d2.loss_mask: 1.1223, decode.d2.loss_dice: 1.6547, decode.d3.loss_cls: 3.3347, decode.d3.loss_mask: 1.1208, decode.d3.loss_dice: 1.6273, decode.d4.loss_cls: 3.2489, decode.d4.loss_mask: 1.1182, decode.d4.loss_dice: 1.6323, decode.d5.loss_cls: 3.2093, decode.d5.loss_mask: 1.1156, decode.d5.loss_dice: 1.6355, decode.d6.loss_cls: 3.1901, decode.d6.loss_mask: 1.1257, decode.d6.loss_dice: 1.6222, decode.d7.loss_cls: 3.1916, decode.d7.loss_mask: 1.1248, decode.d7.loss_dice: 1.6309, decode.d8.loss_cls: 3.1692, decode.d8.loss_mask: 1.1259, decode.d8.loss_dice: 1.6292, loss: 67.8550 2022-06-21 14:03:17,028 - mmseg - INFO - Saving checkpoint at 2000 iterations 2022-06-21 14:03:23,233 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:03:23,234 - mmseg - INFO - Iter [2000/40000] lr: 1.463e-05, eta: 4:57:27, time: 0.590, data_time: 0.011, memory: 40943, decode.loss_cls: 3.0973, decode.loss_mask: 1.1079, decode.loss_dice: 1.6255, decode.d0.loss_cls: 10.0011, decode.d0.loss_mask: 1.1545, decode.d0.loss_dice: 2.0497, decode.d1.loss_cls: 3.6606, decode.d1.loss_mask: 1.1092, decode.d1.loss_dice: 1.7171, decode.d2.loss_cls: 3.4226, decode.d2.loss_mask: 1.0949, decode.d2.loss_dice: 1.6462, decode.d3.loss_cls: 3.2932, decode.d3.loss_mask: 1.0939, decode.d3.loss_dice: 1.6148, decode.d4.loss_cls: 3.2200, decode.d4.loss_mask: 1.0997, decode.d4.loss_dice: 1.6174, decode.d5.loss_cls: 3.1711, decode.d5.loss_mask: 1.1085, decode.d5.loss_dice: 1.6160, decode.d6.loss_cls: 3.1484, decode.d6.loss_mask: 1.1120, decode.d6.loss_dice: 1.6127, decode.d7.loss_cls: 3.1263, decode.d7.loss_mask: 1.1157, decode.d7.loss_dice: 1.6226, decode.d8.loss_cls: 3.0943, decode.d8.loss_mask: 1.1134, decode.d8.loss_dice: 1.6137, loss: 67.0806 2022-06-21 14:03:45,445 - mmseg - INFO - Iter [2050/40000] lr: 1.461e-05, eta: 4:56:40, time: 0.444, data_time: 0.008, memory: 40943, decode.loss_cls: 3.0899, decode.loss_mask: 1.1234, decode.loss_dice: 1.6599, decode.d0.loss_cls: 9.9639, decode.d0.loss_mask: 1.1809, decode.d0.loss_dice: 2.0751, decode.d1.loss_cls: 3.6563, decode.d1.loss_mask: 1.1328, decode.d1.loss_dice: 1.7572, decode.d2.loss_cls: 3.4098, decode.d2.loss_mask: 1.1130, decode.d2.loss_dice: 1.6816, decode.d3.loss_cls: 3.2797, decode.d3.loss_mask: 1.1230, decode.d3.loss_dice: 1.6579, decode.d4.loss_cls: 3.2091, decode.d4.loss_mask: 1.1197, decode.d4.loss_dice: 1.6529, decode.d5.loss_cls: 3.1637, decode.d5.loss_mask: 1.1225, decode.d5.loss_dice: 1.6601, decode.d6.loss_cls: 3.1355, decode.d6.loss_mask: 1.1182, decode.d6.loss_dice: 1.6486, decode.d7.loss_cls: 3.1235, decode.d7.loss_mask: 1.1147, decode.d7.loss_dice: 1.6516, decode.d8.loss_cls: 3.0973, decode.d8.loss_mask: 1.1175, decode.d8.loss_dice: 1.6563, loss: 67.4957 2022-06-21 14:04:08,714 - mmseg - INFO - Iter [2100/40000] lr: 1.459e-05, eta: 4:56:13, time: 0.465, data_time: 0.009, memory: 40943, decode.loss_cls: 3.0332, decode.loss_mask: 1.1250, decode.loss_dice: 1.6179, decode.d0.loss_cls: 9.9393, decode.d0.loss_mask: 1.1630, decode.d0.loss_dice: 2.0176, decode.d1.loss_cls: 3.5966, decode.d1.loss_mask: 1.1092, decode.d1.loss_dice: 1.7004, decode.d2.loss_cls: 3.3219, decode.d2.loss_mask: 1.1057, decode.d2.loss_dice: 1.6316, decode.d3.loss_cls: 3.2014, decode.d3.loss_mask: 1.1079, decode.d3.loss_dice: 1.6051, decode.d4.loss_cls: 3.1247, decode.d4.loss_mask: 1.1127, decode.d4.loss_dice: 1.6152, decode.d5.loss_cls: 3.0870, decode.d5.loss_mask: 1.1127, decode.d5.loss_dice: 1.6078, decode.d6.loss_cls: 3.0596, decode.d6.loss_mask: 1.1150, decode.d6.loss_dice: 1.6133, decode.d7.loss_cls: 3.0545, decode.d7.loss_mask: 1.1197, decode.d7.loss_dice: 1.6180, decode.d8.loss_cls: 3.0222, decode.d8.loss_mask: 1.1227, decode.d8.loss_dice: 1.6243, loss: 66.2853 2022-06-21 14:04:31,280 - mmseg - INFO - Iter [2150/40000] lr: 1.457e-05, eta: 4:55:34, time: 0.451, data_time: 0.009, memory: 40943, decode.loss_cls: 3.0675, decode.loss_mask: 1.0746, decode.loss_dice: 1.6582, decode.d0.loss_cls: 9.9029, decode.d0.loss_mask: 1.1139, decode.d0.loss_dice: 2.0645, decode.d1.loss_cls: 3.6316, decode.d1.loss_mask: 1.0865, decode.d1.loss_dice: 1.7567, decode.d2.loss_cls: 3.3681, decode.d2.loss_mask: 1.0648, decode.d2.loss_dice: 1.6810, decode.d3.loss_cls: 3.2376, decode.d3.loss_mask: 1.0680, decode.d3.loss_dice: 1.6547, decode.d4.loss_cls: 3.1628, decode.d4.loss_mask: 1.0651, decode.d4.loss_dice: 1.6612, decode.d5.loss_cls: 3.1188, decode.d5.loss_mask: 1.0705, decode.d5.loss_dice: 1.6619, decode.d6.loss_cls: 3.0885, decode.d6.loss_mask: 1.0726, decode.d6.loss_dice: 1.6499, decode.d7.loss_cls: 3.0873, decode.d7.loss_mask: 1.0677, decode.d7.loss_dice: 1.6539, decode.d8.loss_cls: 3.0573, decode.d8.loss_mask: 1.0710, decode.d8.loss_dice: 1.6551, loss: 66.5744 2022-06-21 14:04:54,211 - mmseg - INFO - Iter [2200/40000] lr: 1.455e-05, eta: 4:55:02, time: 0.459, data_time: 0.009, memory: 40943, decode.loss_cls: 3.0356, decode.loss_mask: 1.0666, decode.loss_dice: 1.6243, decode.d0.loss_cls: 9.8860, decode.d0.loss_mask: 1.0998, decode.d0.loss_dice: 2.0234, decode.d1.loss_cls: 3.6357, decode.d1.loss_mask: 1.0628, decode.d1.loss_dice: 1.7158, decode.d2.loss_cls: 3.3473, decode.d2.loss_mask: 1.0556, decode.d2.loss_dice: 1.6423, decode.d3.loss_cls: 3.2083, decode.d3.loss_mask: 1.0523, decode.d3.loss_dice: 1.6143, decode.d4.loss_cls: 3.1446, decode.d4.loss_mask: 1.0498, decode.d4.loss_dice: 1.6183, decode.d5.loss_cls: 3.1067, decode.d5.loss_mask: 1.0542, decode.d5.loss_dice: 1.6146, decode.d6.loss_cls: 3.0707, decode.d6.loss_mask: 1.0629, decode.d6.loss_dice: 1.6159, decode.d7.loss_cls: 3.0421, decode.d7.loss_mask: 1.0705, decode.d7.loss_dice: 1.6236, decode.d8.loss_cls: 3.0288, decode.d8.loss_mask: 1.0654, decode.d8.loss_dice: 1.6232, loss: 65.8615 2022-06-21 14:05:19,628 - mmseg - INFO - Iter [2250/40000] lr: 1.453e-05, eta: 4:55:12, time: 0.508, data_time: 0.057, memory: 40943, decode.loss_cls: 3.0301, decode.loss_mask: 1.0557, decode.loss_dice: 1.5847, decode.d0.loss_cls: 9.8555, decode.d0.loss_mask: 1.0915, decode.d0.loss_dice: 1.9869, decode.d1.loss_cls: 3.6229, decode.d1.loss_mask: 1.0644, decode.d1.loss_dice: 1.6732, decode.d2.loss_cls: 3.3694, decode.d2.loss_mask: 1.0440, decode.d2.loss_dice: 1.6020, decode.d3.loss_cls: 3.2461, decode.d3.loss_mask: 1.0486, decode.d3.loss_dice: 1.5697, decode.d4.loss_cls: 3.1592, decode.d4.loss_mask: 1.0492, decode.d4.loss_dice: 1.5755, decode.d5.loss_cls: 3.1026, decode.d5.loss_mask: 1.0558, decode.d5.loss_dice: 1.5695, decode.d6.loss_cls: 3.0700, decode.d6.loss_mask: 1.0548, decode.d6.loss_dice: 1.5660, decode.d7.loss_cls: 3.0500, decode.d7.loss_mask: 1.0560, decode.d7.loss_dice: 1.5745, decode.d8.loss_cls: 3.0175, decode.d8.loss_mask: 1.0578, decode.d8.loss_dice: 1.5835, loss: 65.3865 2022-06-21 14:05:42,290 - mmseg - INFO - Iter [2300/40000] lr: 1.452e-05, eta: 4:54:35, time: 0.453, data_time: 0.009, memory: 40943, decode.loss_cls: 2.9387, decode.loss_mask: 1.0856, decode.loss_dice: 1.5748, decode.d0.loss_cls: 9.8379, decode.d0.loss_mask: 1.1359, decode.d0.loss_dice: 1.9796, decode.d1.loss_cls: 3.5406, decode.d1.loss_mask: 1.1029, decode.d1.loss_dice: 1.6714, decode.d2.loss_cls: 3.2664, decode.d2.loss_mask: 1.0854, decode.d2.loss_dice: 1.6040, decode.d3.loss_cls: 3.1287, decode.d3.loss_mask: 1.0818, decode.d3.loss_dice: 1.5719, decode.d4.loss_cls: 3.0509, decode.d4.loss_mask: 1.0862, decode.d4.loss_dice: 1.5791, decode.d5.loss_cls: 2.9971, decode.d5.loss_mask: 1.0806, decode.d5.loss_dice: 1.5758, decode.d6.loss_cls: 2.9707, decode.d6.loss_mask: 1.0887, decode.d6.loss_dice: 1.5704, decode.d7.loss_cls: 2.9490, decode.d7.loss_mask: 1.0833, decode.d7.loss_dice: 1.5777, decode.d8.loss_cls: 2.9253, decode.d8.loss_mask: 1.0900, decode.d8.loss_dice: 1.5775, loss: 64.8077 2022-06-21 14:06:04,890 - mmseg - INFO - Iter [2350/40000] lr: 1.450e-05, eta: 4:53:59, time: 0.453, data_time: 0.010, memory: 40943, decode.loss_cls: 2.8670, decode.loss_mask: 1.0519, decode.loss_dice: 1.5320, decode.d0.loss_cls: 9.7946, decode.d0.loss_mask: 1.0721, decode.d0.loss_dice: 1.9072, decode.d1.loss_cls: 3.4682, decode.d1.loss_mask: 1.0470, decode.d1.loss_dice: 1.6014, decode.d2.loss_cls: 3.1880, decode.d2.loss_mask: 1.0345, decode.d2.loss_dice: 1.5378, decode.d3.loss_cls: 3.0668, decode.d3.loss_mask: 1.0381, decode.d3.loss_dice: 1.5126, decode.d4.loss_cls: 2.9773, decode.d4.loss_mask: 1.0394, decode.d4.loss_dice: 1.5150, decode.d5.loss_cls: 2.9424, decode.d5.loss_mask: 1.0377, decode.d5.loss_dice: 1.5167, decode.d6.loss_cls: 2.9146, decode.d6.loss_mask: 1.0318, decode.d6.loss_dice: 1.5165, decode.d7.loss_cls: 2.8913, decode.d7.loss_mask: 1.0457, decode.d7.loss_dice: 1.5245, decode.d8.loss_cls: 2.8603, decode.d8.loss_mask: 1.0461, decode.d8.loss_dice: 1.5305, loss: 63.1091 2022-06-21 14:06:27,303 - mmseg - INFO - Iter [2400/40000] lr: 1.448e-05, eta: 4:53:19, time: 0.448, data_time: 0.009, memory: 40943, decode.loss_cls: 2.9146, decode.loss_mask: 1.0582, decode.loss_dice: 1.5576, decode.d0.loss_cls: 9.7706, decode.d0.loss_mask: 1.1036, decode.d0.loss_dice: 1.9652, decode.d1.loss_cls: 3.5508, decode.d1.loss_mask: 1.0658, decode.d1.loss_dice: 1.6470, decode.d2.loss_cls: 3.2626, decode.d2.loss_mask: 1.0480, decode.d2.loss_dice: 1.5764, decode.d3.loss_cls: 3.1094, decode.d3.loss_mask: 1.0459, decode.d3.loss_dice: 1.5436, decode.d4.loss_cls: 3.0301, decode.d4.loss_mask: 1.0481, decode.d4.loss_dice: 1.5449, decode.d5.loss_cls: 2.9708, decode.d5.loss_mask: 1.0544, decode.d5.loss_dice: 1.5516, decode.d6.loss_cls: 2.9490, decode.d6.loss_mask: 1.0470, decode.d6.loss_dice: 1.5456, decode.d7.loss_cls: 2.9307, decode.d7.loss_mask: 1.0474, decode.d7.loss_dice: 1.5478, decode.d8.loss_cls: 2.9087, decode.d8.loss_mask: 1.0495, decode.d8.loss_dice: 1.5555, loss: 64.0004 2022-06-21 14:06:50,132 - mmseg - INFO - Iter [2450/40000] lr: 1.446e-05, eta: 4:52:47, time: 0.457, data_time: 0.010, memory: 40943, decode.loss_cls: 2.8298, decode.loss_mask: 1.0703, decode.loss_dice: 1.5721, decode.d0.loss_cls: 9.7398, decode.d0.loss_mask: 1.0957, decode.d0.loss_dice: 1.9414, decode.d1.loss_cls: 3.4373, decode.d1.loss_mask: 1.0768, decode.d1.loss_dice: 1.6431, decode.d2.loss_cls: 3.1630, decode.d2.loss_mask: 1.0612, decode.d2.loss_dice: 1.5777, decode.d3.loss_cls: 3.0393, decode.d3.loss_mask: 1.0506, decode.d3.loss_dice: 1.5521, decode.d4.loss_cls: 2.9609, decode.d4.loss_mask: 1.0579, decode.d4.loss_dice: 1.5554, decode.d5.loss_cls: 2.9049, decode.d5.loss_mask: 1.0552, decode.d5.loss_dice: 1.5563, decode.d6.loss_cls: 2.8769, decode.d6.loss_mask: 1.0618, decode.d6.loss_dice: 1.5476, decode.d7.loss_cls: 2.8463, decode.d7.loss_mask: 1.0629, decode.d7.loss_dice: 1.5549, decode.d8.loss_cls: 2.8240, decode.d8.loss_mask: 1.0665, decode.d8.loss_dice: 1.5659, loss: 63.3475 2022-06-21 14:07:12,342 - mmseg - INFO - Iter [2500/40000] lr: 1.444e-05, eta: 4:52:06, time: 0.444, data_time: 0.009, memory: 40943, decode.loss_cls: 2.8756, decode.loss_mask: 1.0561, decode.loss_dice: 1.5706, decode.d0.loss_cls: 9.7194, decode.d0.loss_mask: 1.1129, decode.d0.loss_dice: 1.9507, decode.d1.loss_cls: 3.4789, decode.d1.loss_mask: 1.0781, decode.d1.loss_dice: 1.6525, decode.d2.loss_cls: 3.1884, decode.d2.loss_mask: 1.0622, decode.d2.loss_dice: 1.5784, decode.d3.loss_cls: 3.0458, decode.d3.loss_mask: 1.0638, decode.d3.loss_dice: 1.5518, decode.d4.loss_cls: 2.9751, decode.d4.loss_mask: 1.0696, decode.d4.loss_dice: 1.5590, decode.d5.loss_cls: 2.9236, decode.d5.loss_mask: 1.0655, decode.d5.loss_dice: 1.5566, decode.d6.loss_cls: 2.9036, decode.d6.loss_mask: 1.0733, decode.d6.loss_dice: 1.5504, decode.d7.loss_cls: 2.8763, decode.d7.loss_mask: 1.0763, decode.d7.loss_dice: 1.5696, decode.d8.loss_cls: 2.8635, decode.d8.loss_mask: 1.0662, decode.d8.loss_dice: 1.5636, loss: 63.6777 2022-06-21 14:07:35,474 - mmseg - INFO - Iter [2550/40000] lr: 1.442e-05, eta: 4:51:39, time: 0.463, data_time: 0.010, memory: 40943, decode.loss_cls: 2.8812, decode.loss_mask: 1.0556, decode.loss_dice: 1.5853, decode.d0.loss_cls: 9.6836, decode.d0.loss_mask: 1.0936, decode.d0.loss_dice: 1.9738, decode.d1.loss_cls: 3.5113, decode.d1.loss_mask: 1.0525, decode.d1.loss_dice: 1.6714, decode.d2.loss_cls: 3.2044, decode.d2.loss_mask: 1.0432, decode.d2.loss_dice: 1.5952, decode.d3.loss_cls: 3.0688, decode.d3.loss_mask: 1.0431, decode.d3.loss_dice: 1.5683, decode.d4.loss_cls: 2.9964, decode.d4.loss_mask: 1.0390, decode.d4.loss_dice: 1.5772, decode.d5.loss_cls: 2.9460, decode.d5.loss_mask: 1.0505, decode.d5.loss_dice: 1.5804, decode.d6.loss_cls: 2.9163, decode.d6.loss_mask: 1.0416, decode.d6.loss_dice: 1.5688, decode.d7.loss_cls: 2.8931, decode.d7.loss_mask: 1.0458, decode.d7.loss_dice: 1.5767, decode.d8.loss_cls: 2.8827, decode.d8.loss_mask: 1.0503, decode.d8.loss_dice: 1.5809, loss: 63.7769 2022-06-21 14:07:57,881 - mmseg - INFO - Iter [2600/40000] lr: 1.440e-05, eta: 4:51:02, time: 0.448, data_time: 0.009, memory: 40943, decode.loss_cls: 2.7711, decode.loss_mask: 1.0422, decode.loss_dice: 1.5325, decode.d0.loss_cls: 9.6390, decode.d0.loss_mask: 1.0834, decode.d0.loss_dice: 1.8949, decode.d1.loss_cls: 3.3771, decode.d1.loss_mask: 1.0507, decode.d1.loss_dice: 1.6088, decode.d2.loss_cls: 3.0998, decode.d2.loss_mask: 1.0394, decode.d2.loss_dice: 1.5428, decode.d3.loss_cls: 2.9599, decode.d3.loss_mask: 1.0339, decode.d3.loss_dice: 1.5187, decode.d4.loss_cls: 2.8863, decode.d4.loss_mask: 1.0353, decode.d4.loss_dice: 1.5242, decode.d5.loss_cls: 2.8325, decode.d5.loss_mask: 1.0377, decode.d5.loss_dice: 1.5192, decode.d6.loss_cls: 2.8053, decode.d6.loss_mask: 1.0366, decode.d6.loss_dice: 1.5191, decode.d7.loss_cls: 2.7926, decode.d7.loss_mask: 1.0388, decode.d7.loss_dice: 1.5193, decode.d8.loss_cls: 2.7673, decode.d8.loss_mask: 1.0384, decode.d8.loss_dice: 1.5329, loss: 62.0796 2022-06-21 14:08:21,112 - mmseg - INFO - Iter [2650/40000] lr: 1.438e-05, eta: 4:50:37, time: 0.465, data_time: 0.009, memory: 40943, decode.loss_cls: 2.7482, decode.loss_mask: 1.0401, decode.loss_dice: 1.5617, decode.d0.loss_cls: 9.6239, decode.d0.loss_mask: 1.0837, decode.d0.loss_dice: 1.9272, decode.d1.loss_cls: 3.3856, decode.d1.loss_mask: 1.0475, decode.d1.loss_dice: 1.6466, decode.d2.loss_cls: 3.0856, decode.d2.loss_mask: 1.0330, decode.d2.loss_dice: 1.5720, decode.d3.loss_cls: 2.9503, decode.d3.loss_mask: 1.0408, decode.d3.loss_dice: 1.5562, decode.d4.loss_cls: 2.8617, decode.d4.loss_mask: 1.0348, decode.d4.loss_dice: 1.5578, decode.d5.loss_cls: 2.8055, decode.d5.loss_mask: 1.0337, decode.d5.loss_dice: 1.5547, decode.d6.loss_cls: 2.7814, decode.d6.loss_mask: 1.0415, decode.d6.loss_dice: 1.5534, decode.d7.loss_cls: 2.7537, decode.d7.loss_mask: 1.0365, decode.d7.loss_dice: 1.5559, decode.d8.loss_cls: 2.7354, decode.d8.loss_mask: 1.0410, decode.d8.loss_dice: 1.5580, loss: 62.2074 2022-06-21 14:08:44,176 - mmseg - INFO - Iter [2700/40000] lr: 1.436e-05, eta: 4:50:09, time: 0.461, data_time: 0.009, memory: 40943, decode.loss_cls: 2.6864, decode.loss_mask: 1.0309, decode.loss_dice: 1.4877, decode.d0.loss_cls: 9.5795, decode.d0.loss_mask: 1.0695, decode.d0.loss_dice: 1.8682, decode.d1.loss_cls: 3.3066, decode.d1.loss_mask: 1.0419, decode.d1.loss_dice: 1.5710, decode.d2.loss_cls: 3.0185, decode.d2.loss_mask: 1.0202, decode.d2.loss_dice: 1.4942, decode.d3.loss_cls: 2.8783, decode.d3.loss_mask: 1.0239, decode.d3.loss_dice: 1.4783, decode.d4.loss_cls: 2.7905, decode.d4.loss_mask: 1.0232, decode.d4.loss_dice: 1.4771, decode.d5.loss_cls: 2.7544, decode.d5.loss_mask: 1.0279, decode.d5.loss_dice: 1.4876, decode.d6.loss_cls: 2.7099, decode.d6.loss_mask: 1.0317, decode.d6.loss_dice: 1.4759, decode.d7.loss_cls: 2.6973, decode.d7.loss_mask: 1.0293, decode.d7.loss_dice: 1.4822, decode.d8.loss_cls: 2.6810, decode.d8.loss_mask: 1.0281, decode.d8.loss_dice: 1.4908, loss: 60.7423 2022-06-21 14:09:07,273 - mmseg - INFO - Iter [2750/40000] lr: 1.434e-05, eta: 4:49:43, time: 0.462, data_time: 0.010, memory: 40943, decode.loss_cls: 2.7881, decode.loss_mask: 1.0577, decode.loss_dice: 1.5864, decode.d0.loss_cls: 9.5506, decode.d0.loss_mask: 1.1018, decode.d0.loss_dice: 1.9378, decode.d1.loss_cls: 3.4312, decode.d1.loss_mask: 1.0770, decode.d1.loss_dice: 1.6567, decode.d2.loss_cls: 3.1309, decode.d2.loss_mask: 1.0531, decode.d2.loss_dice: 1.5812, decode.d3.loss_cls: 2.9867, decode.d3.loss_mask: 1.0470, decode.d3.loss_dice: 1.5637, decode.d4.loss_cls: 2.9062, decode.d4.loss_mask: 1.0444, decode.d4.loss_dice: 1.5743, decode.d5.loss_cls: 2.8581, decode.d5.loss_mask: 1.0501, decode.d5.loss_dice: 1.5682, decode.d6.loss_cls: 2.8190, decode.d6.loss_mask: 1.0579, decode.d6.loss_dice: 1.5689, decode.d7.loss_cls: 2.7945, decode.d7.loss_mask: 1.0618, decode.d7.loss_dice: 1.5753, decode.d8.loss_cls: 2.7753, decode.d8.loss_mask: 1.0612, decode.d8.loss_dice: 1.5835, loss: 62.8486 2022-06-21 14:09:30,002 - mmseg - INFO - Iter [2800/40000] lr: 1.432e-05, eta: 4:49:11, time: 0.455, data_time: 0.011, memory: 40943, decode.loss_cls: 2.7011, decode.loss_mask: 1.0521, decode.loss_dice: 1.5053, decode.d0.loss_cls: 9.5112, decode.d0.loss_mask: 1.0850, decode.d0.loss_dice: 1.8560, decode.d1.loss_cls: 3.3390, decode.d1.loss_mask: 1.0613, decode.d1.loss_dice: 1.5694, decode.d2.loss_cls: 3.0221, decode.d2.loss_mask: 1.0438, decode.d2.loss_dice: 1.5057, decode.d3.loss_cls: 2.8801, decode.d3.loss_mask: 1.0533, decode.d3.loss_dice: 1.4818, decode.d4.loss_cls: 2.8063, decode.d4.loss_mask: 1.0483, decode.d4.loss_dice: 1.4965, decode.d5.loss_cls: 2.7591, decode.d5.loss_mask: 1.0506, decode.d5.loss_dice: 1.4959, decode.d6.loss_cls: 2.7225, decode.d6.loss_mask: 1.0547, decode.d6.loss_dice: 1.4922, decode.d7.loss_cls: 2.7062, decode.d7.loss_mask: 1.0552, decode.d7.loss_dice: 1.4992, decode.d8.loss_cls: 2.6851, decode.d8.loss_mask: 1.0584, decode.d8.loss_dice: 1.5009, loss: 61.0984 2022-06-21 14:09:55,130 - mmseg - INFO - Iter [2850/40000] lr: 1.430e-05, eta: 4:49:12, time: 0.502, data_time: 0.058, memory: 40943, decode.loss_cls: 2.7135, decode.loss_mask: 1.0090, decode.loss_dice: 1.5221, decode.d0.loss_cls: 9.4890, decode.d0.loss_mask: 1.0494, decode.d0.loss_dice: 1.8776, decode.d1.loss_cls: 3.3581, decode.d1.loss_mask: 1.0295, decode.d1.loss_dice: 1.6122, decode.d2.loss_cls: 3.0432, decode.d2.loss_mask: 1.0013, decode.d2.loss_dice: 1.5304, decode.d3.loss_cls: 2.8995, decode.d3.loss_mask: 1.0058, decode.d3.loss_dice: 1.5107, decode.d4.loss_cls: 2.8137, decode.d4.loss_mask: 0.9995, decode.d4.loss_dice: 1.5097, decode.d5.loss_cls: 2.7635, decode.d5.loss_mask: 1.0079, decode.d5.loss_dice: 1.5166, decode.d6.loss_cls: 2.7476, decode.d6.loss_mask: 1.0064, decode.d6.loss_dice: 1.5116, decode.d7.loss_cls: 2.7305, decode.d7.loss_mask: 1.0098, decode.d7.loss_dice: 1.5170, decode.d8.loss_cls: 2.7092, decode.d8.loss_mask: 1.0082, decode.d8.loss_dice: 1.5193, loss: 61.0218 2022-06-21 14:10:17,616 - mmseg - INFO - Iter [2900/40000] lr: 1.428e-05, eta: 4:48:38, time: 0.450, data_time: 0.010, memory: 40943, decode.loss_cls: 2.6100, decode.loss_mask: 1.0435, decode.loss_dice: 1.4556, decode.d0.loss_cls: 9.4533, decode.d0.loss_mask: 1.0804, decode.d0.loss_dice: 1.7896, decode.d1.loss_cls: 3.2349, decode.d1.loss_mask: 1.0487, decode.d1.loss_dice: 1.5159, decode.d2.loss_cls: 2.9478, decode.d2.loss_mask: 1.0391, decode.d2.loss_dice: 1.4535, decode.d3.loss_cls: 2.8149, decode.d3.loss_mask: 1.0378, decode.d3.loss_dice: 1.4353, decode.d4.loss_cls: 2.7332, decode.d4.loss_mask: 1.0417, decode.d4.loss_dice: 1.4505, decode.d5.loss_cls: 2.6782, decode.d5.loss_mask: 1.0415, decode.d5.loss_dice: 1.4516, decode.d6.loss_cls: 2.6449, decode.d6.loss_mask: 1.0377, decode.d6.loss_dice: 1.4450, decode.d7.loss_cls: 2.6284, decode.d7.loss_mask: 1.0414, decode.d7.loss_dice: 1.4542, decode.d8.loss_cls: 2.6059, decode.d8.loss_mask: 1.0484, decode.d8.loss_dice: 1.4570, loss: 59.7200 2022-06-21 14:10:40,568 - mmseg - INFO - Iter [2950/40000] lr: 1.426e-05, eta: 4:48:09, time: 0.459, data_time: 0.010, memory: 40943, decode.loss_cls: 2.6180, decode.loss_mask: 1.0543, decode.loss_dice: 1.5270, decode.d0.loss_cls: 9.4301, decode.d0.loss_mask: 1.1015, decode.d0.loss_dice: 1.8801, decode.d1.loss_cls: 3.2759, decode.d1.loss_mask: 1.0674, decode.d1.loss_dice: 1.5977, decode.d2.loss_cls: 2.9606, decode.d2.loss_mask: 1.0446, decode.d2.loss_dice: 1.5231, decode.d3.loss_cls: 2.8123, decode.d3.loss_mask: 1.0531, decode.d3.loss_dice: 1.5101, decode.d4.loss_cls: 2.7382, decode.d4.loss_mask: 1.0473, decode.d4.loss_dice: 1.5098, decode.d5.loss_cls: 2.6846, decode.d5.loss_mask: 1.0550, decode.d5.loss_dice: 1.5138, decode.d6.loss_cls: 2.6551, decode.d6.loss_mask: 1.0535, decode.d6.loss_dice: 1.5087, decode.d7.loss_cls: 2.6374, decode.d7.loss_mask: 1.0557, decode.d7.loss_dice: 1.5142, decode.d8.loss_cls: 2.6161, decode.d8.loss_mask: 1.0586, decode.d8.loss_dice: 1.5160, loss: 60.6197 2022-06-21 14:11:03,489 - mmseg - INFO - Saving checkpoint at 3000 iterations 2022-06-21 14:11:10,332 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:11:10,332 - mmseg - INFO - Iter [3000/40000] lr: 1.425e-05, eta: 4:49:05, time: 0.595, data_time: 0.010, memory: 40943, decode.loss_cls: 2.5535, decode.loss_mask: 1.0395, decode.loss_dice: 1.5065, decode.d0.loss_cls: 9.3707, decode.d0.loss_mask: 1.0567, decode.d0.loss_dice: 1.8238, decode.d1.loss_cls: 3.2147, decode.d1.loss_mask: 1.0313, decode.d1.loss_dice: 1.5706, decode.d2.loss_cls: 2.9000, decode.d2.loss_mask: 1.0154, decode.d2.loss_dice: 1.5039, decode.d3.loss_cls: 2.7614, decode.d3.loss_mask: 1.0152, decode.d3.loss_dice: 1.4838, decode.d4.loss_cls: 2.6808, decode.d4.loss_mask: 1.0204, decode.d4.loss_dice: 1.4922, decode.d5.loss_cls: 2.6245, decode.d5.loss_mask: 1.0299, decode.d5.loss_dice: 1.4947, decode.d6.loss_cls: 2.5951, decode.d6.loss_mask: 1.0339, decode.d6.loss_dice: 1.4908, decode.d7.loss_cls: 2.5706, decode.d7.loss_mask: 1.0331, decode.d7.loss_dice: 1.4990, decode.d8.loss_cls: 2.5510, decode.d8.loss_mask: 1.0339, decode.d8.loss_dice: 1.4964, loss: 59.4935 2022-06-21 14:11:33,606 - mmseg - INFO - Iter [3050/40000] lr: 1.423e-05, eta: 4:48:40, time: 0.465, data_time: 0.009, memory: 40943, decode.loss_cls: 2.6165, decode.loss_mask: 1.0074, decode.loss_dice: 1.5157, decode.d0.loss_cls: 9.3427, decode.d0.loss_mask: 1.0324, decode.d0.loss_dice: 1.8627, decode.d1.loss_cls: 3.2819, decode.d1.loss_mask: 1.0099, decode.d1.loss_dice: 1.5944, decode.d2.loss_cls: 2.9654, decode.d2.loss_mask: 1.0012, decode.d2.loss_dice: 1.5387, decode.d3.loss_cls: 2.8237, decode.d3.loss_mask: 0.9972, decode.d3.loss_dice: 1.5152, decode.d4.loss_cls: 2.7368, decode.d4.loss_mask: 0.9931, decode.d4.loss_dice: 1.5241, decode.d5.loss_cls: 2.6819, decode.d5.loss_mask: 1.0027, decode.d5.loss_dice: 1.5197, decode.d6.loss_cls: 2.6515, decode.d6.loss_mask: 1.0048, decode.d6.loss_dice: 1.5125, decode.d7.loss_cls: 2.6316, decode.d7.loss_mask: 1.0097, decode.d7.loss_dice: 1.5188, decode.d8.loss_cls: 2.6076, decode.d8.loss_mask: 1.0031, decode.d8.loss_dice: 1.5263, loss: 60.0293 2022-06-21 14:11:56,497 - mmseg - INFO - Iter [3100/40000] lr: 1.421e-05, eta: 4:48:10, time: 0.458, data_time: 0.010, memory: 40943, decode.loss_cls: 2.5922, decode.loss_mask: 1.0591, decode.loss_dice: 1.5369, decode.d0.loss_cls: 9.3349, decode.d0.loss_mask: 1.0836, decode.d0.loss_dice: 1.8650, decode.d1.loss_cls: 3.2574, decode.d1.loss_mask: 1.0737, decode.d1.loss_dice: 1.5927, decode.d2.loss_cls: 2.9381, decode.d2.loss_mask: 1.0584, decode.d2.loss_dice: 1.5336, decode.d3.loss_cls: 2.7804, decode.d3.loss_mask: 1.0599, decode.d3.loss_dice: 1.5189, decode.d4.loss_cls: 2.6899, decode.d4.loss_mask: 1.0534, decode.d4.loss_dice: 1.5293, decode.d5.loss_cls: 2.6459, decode.d5.loss_mask: 1.0529, decode.d5.loss_dice: 1.5271, decode.d6.loss_cls: 2.6258, decode.d6.loss_mask: 1.0565, decode.d6.loss_dice: 1.5232, decode.d7.loss_cls: 2.6116, decode.d7.loss_mask: 1.0488, decode.d7.loss_dice: 1.5293, decode.d8.loss_cls: 2.5846, decode.d8.loss_mask: 1.0586, decode.d8.loss_dice: 1.5407, loss: 60.3627 2022-06-21 14:12:19,341 - mmseg - INFO - Iter [3150/40000] lr: 1.419e-05, eta: 4:47:39, time: 0.457, data_time: 0.010, memory: 40943, decode.loss_cls: 2.4985, decode.loss_mask: 1.0245, decode.loss_dice: 1.4683, decode.d0.loss_cls: 9.2937, decode.d0.loss_mask: 1.0504, decode.d0.loss_dice: 1.7905, decode.d1.loss_cls: 3.1989, decode.d1.loss_mask: 1.0390, decode.d1.loss_dice: 1.5371, decode.d2.loss_cls: 2.8626, decode.d2.loss_mask: 1.0179, decode.d2.loss_dice: 1.4727, decode.d3.loss_cls: 2.7085, decode.d3.loss_mask: 1.0197, decode.d3.loss_dice: 1.4530, decode.d4.loss_cls: 2.6304, decode.d4.loss_mask: 1.0121, decode.d4.loss_dice: 1.4589, decode.d5.loss_cls: 2.5617, decode.d5.loss_mask: 1.0151, decode.d5.loss_dice: 1.4651, decode.d6.loss_cls: 2.5323, decode.d6.loss_mask: 1.0201, decode.d6.loss_dice: 1.4571, decode.d7.loss_cls: 2.5074, decode.d7.loss_mask: 1.0270, decode.d7.loss_dice: 1.4645, decode.d8.loss_cls: 2.4877, decode.d8.loss_mask: 1.0221, decode.d8.loss_dice: 1.4653, loss: 58.5617 2022-06-21 14:12:42,330 - mmseg - INFO - Iter [3200/40000] lr: 1.417e-05, eta: 4:47:11, time: 0.460, data_time: 0.010, memory: 40943, decode.loss_cls: 2.4746, decode.loss_mask: 1.0103, decode.loss_dice: 1.5031, decode.d0.loss_cls: 9.2309, decode.d0.loss_mask: 1.0258, decode.d0.loss_dice: 1.8301, decode.d1.loss_cls: 3.1330, decode.d1.loss_mask: 1.0086, decode.d1.loss_dice: 1.5713, decode.d2.loss_cls: 2.8186, decode.d2.loss_mask: 0.9970, decode.d2.loss_dice: 1.5038, decode.d3.loss_cls: 2.6713, decode.d3.loss_mask: 1.0047, decode.d3.loss_dice: 1.4851, decode.d4.loss_cls: 2.5859, decode.d4.loss_mask: 0.9996, decode.d4.loss_dice: 1.4898, decode.d5.loss_cls: 2.5322, decode.d5.loss_mask: 1.0058, decode.d5.loss_dice: 1.5013, decode.d6.loss_cls: 2.5093, decode.d6.loss_mask: 1.0094, decode.d6.loss_dice: 1.4923, decode.d7.loss_cls: 2.4846, decode.d7.loss_mask: 1.0022, decode.d7.loss_dice: 1.4942, decode.d8.loss_cls: 2.4709, decode.d8.loss_mask: 1.0011, decode.d8.loss_dice: 1.5045, loss: 58.3513 2022-06-21 14:13:06,126 - mmseg - INFO - Iter [3250/40000] lr: 1.415e-05, eta: 4:46:52, time: 0.476, data_time: 0.009, memory: 40943, decode.loss_cls: 2.5244, decode.loss_mask: 1.0218, decode.loss_dice: 1.5313, decode.d0.loss_cls: 9.2133, decode.d0.loss_mask: 1.0510, decode.d0.loss_dice: 1.8630, decode.d1.loss_cls: 3.2085, decode.d1.loss_mask: 1.0203, decode.d1.loss_dice: 1.6043, decode.d2.loss_cls: 2.8876, decode.d2.loss_mask: 1.0102, decode.d2.loss_dice: 1.5430, decode.d3.loss_cls: 2.7367, decode.d3.loss_mask: 1.0173, decode.d3.loss_dice: 1.5270, decode.d4.loss_cls: 2.6433, decode.d4.loss_mask: 1.0235, decode.d4.loss_dice: 1.5391, decode.d5.loss_cls: 2.5878, decode.d5.loss_mask: 1.0236, decode.d5.loss_dice: 1.5335, decode.d6.loss_cls: 2.5617, decode.d6.loss_mask: 1.0150, decode.d6.loss_dice: 1.5316, decode.d7.loss_cls: 2.5403, decode.d7.loss_mask: 1.0132, decode.d7.loss_dice: 1.5263, decode.d8.loss_cls: 2.5139, decode.d8.loss_mask: 1.0151, decode.d8.loss_dice: 1.5310, loss: 59.3586 2022-06-21 14:13:28,621 - mmseg - INFO - Iter [3300/40000] lr: 1.413e-05, eta: 4:46:19, time: 0.450, data_time: 0.009, memory: 40943, decode.loss_cls: 2.5026, decode.loss_mask: 1.0370, decode.loss_dice: 1.4930, decode.d0.loss_cls: 9.1753, decode.d0.loss_mask: 1.0739, decode.d0.loss_dice: 1.8239, decode.d1.loss_cls: 3.1759, decode.d1.loss_mask: 1.0404, decode.d1.loss_dice: 1.5621, decode.d2.loss_cls: 2.8400, decode.d2.loss_mask: 1.0225, decode.d2.loss_dice: 1.4992, decode.d3.loss_cls: 2.6934, decode.d3.loss_mask: 1.0262, decode.d3.loss_dice: 1.4780, decode.d4.loss_cls: 2.5999, decode.d4.loss_mask: 1.0304, decode.d4.loss_dice: 1.4869, decode.d5.loss_cls: 2.5573, decode.d5.loss_mask: 1.0356, decode.d5.loss_dice: 1.4897, decode.d6.loss_cls: 2.5327, decode.d6.loss_mask: 1.0400, decode.d6.loss_dice: 1.4823, decode.d7.loss_cls: 2.5133, decode.d7.loss_mask: 1.0350, decode.d7.loss_dice: 1.4931, decode.d8.loss_cls: 2.4956, decode.d8.loss_mask: 1.0383, decode.d8.loss_dice: 1.4989, loss: 58.7725 2022-06-21 14:13:51,439 - mmseg - INFO - Iter [3350/40000] lr: 1.411e-05, eta: 4:45:48, time: 0.456, data_time: 0.009, memory: 40943, decode.loss_cls: 2.4828, decode.loss_mask: 1.0471, decode.loss_dice: 1.5164, decode.d0.loss_cls: 9.1312, decode.d0.loss_mask: 1.0670, decode.d0.loss_dice: 1.8332, decode.d1.loss_cls: 3.1607, decode.d1.loss_mask: 1.0488, decode.d1.loss_dice: 1.5678, decode.d2.loss_cls: 2.8314, decode.d2.loss_mask: 1.0344, decode.d2.loss_dice: 1.5082, decode.d3.loss_cls: 2.6802, decode.d3.loss_mask: 1.0302, decode.d3.loss_dice: 1.4909, decode.d4.loss_cls: 2.5986, decode.d4.loss_mask: 1.0322, decode.d4.loss_dice: 1.4976, decode.d5.loss_cls: 2.5528, decode.d5.loss_mask: 1.0314, decode.d5.loss_dice: 1.4922, decode.d6.loss_cls: 2.5229, decode.d6.loss_mask: 1.0354, decode.d6.loss_dice: 1.4905, decode.d7.loss_cls: 2.5021, decode.d7.loss_mask: 1.0348, decode.d7.loss_dice: 1.4946, decode.d8.loss_cls: 2.4839, decode.d8.loss_mask: 1.0409, decode.d8.loss_dice: 1.5035, loss: 58.7435 2022-06-21 14:14:16,604 - mmseg - INFO - Iter [3400/40000] lr: 1.409e-05, eta: 4:45:44, time: 0.504, data_time: 0.059, memory: 40943, decode.loss_cls: 2.4332, decode.loss_mask: 1.0104, decode.loss_dice: 1.4907, decode.d0.loss_cls: 9.0880, decode.d0.loss_mask: 1.0528, decode.d0.loss_dice: 1.8202, decode.d1.loss_cls: 3.0950, decode.d1.loss_mask: 1.0400, decode.d1.loss_dice: 1.5675, decode.d2.loss_cls: 2.7636, decode.d2.loss_mask: 1.0208, decode.d2.loss_dice: 1.5019, decode.d3.loss_cls: 2.6252, decode.d3.loss_mask: 1.0090, decode.d3.loss_dice: 1.4724, decode.d4.loss_cls: 2.5429, decode.d4.loss_mask: 1.0067, decode.d4.loss_dice: 1.4832, decode.d5.loss_cls: 2.4801, decode.d5.loss_mask: 1.0109, decode.d5.loss_dice: 1.4796, decode.d6.loss_cls: 2.4574, decode.d6.loss_mask: 1.0076, decode.d6.loss_dice: 1.4818, decode.d7.loss_cls: 2.4359, decode.d7.loss_mask: 1.0111, decode.d7.loss_dice: 1.4844, decode.d8.loss_cls: 2.4127, decode.d8.loss_mask: 1.0110, decode.d8.loss_dice: 1.4924, loss: 57.7886 2022-06-21 14:14:39,561 - mmseg - INFO - Iter [3450/40000] lr: 1.407e-05, eta: 4:45:16, time: 0.459, data_time: 0.009, memory: 40943, decode.loss_cls: 2.4039, decode.loss_mask: 0.9943, decode.loss_dice: 1.4709, decode.d0.loss_cls: 9.0417, decode.d0.loss_mask: 1.0187, decode.d0.loss_dice: 1.7722, decode.d1.loss_cls: 3.0848, decode.d1.loss_mask: 1.0103, decode.d1.loss_dice: 1.5308, decode.d2.loss_cls: 2.7454, decode.d2.loss_mask: 0.9890, decode.d2.loss_dice: 1.4717, decode.d3.loss_cls: 2.6055, decode.d3.loss_mask: 0.9849, decode.d3.loss_dice: 1.4549, decode.d4.loss_cls: 2.5129, decode.d4.loss_mask: 0.9882, decode.d4.loss_dice: 1.4629, decode.d5.loss_cls: 2.4633, decode.d5.loss_mask: 0.9848, decode.d5.loss_dice: 1.4650, decode.d6.loss_cls: 2.4283, decode.d6.loss_mask: 0.9927, decode.d6.loss_dice: 1.4610, decode.d7.loss_cls: 2.4137, decode.d7.loss_mask: 0.9999, decode.d7.loss_dice: 1.4618, decode.d8.loss_cls: 2.4010, decode.d8.loss_mask: 0.9964, decode.d8.loss_dice: 1.4682, loss: 57.0791 2022-06-21 14:15:02,029 - mmseg - INFO - Iter [3500/40000] lr: 1.405e-05, eta: 4:44:42, time: 0.449, data_time: 0.009, memory: 40943, decode.loss_cls: 2.3938, decode.loss_mask: 1.0247, decode.loss_dice: 1.4550, decode.d0.loss_cls: 9.0245, decode.d0.loss_mask: 1.0393, decode.d0.loss_dice: 1.7615, decode.d1.loss_cls: 3.0945, decode.d1.loss_mask: 1.0186, decode.d1.loss_dice: 1.4997, decode.d2.loss_cls: 2.7527, decode.d2.loss_mask: 1.0105, decode.d2.loss_dice: 1.4429, decode.d3.loss_cls: 2.6062, decode.d3.loss_mask: 1.0054, decode.d3.loss_dice: 1.4256, decode.d4.loss_cls: 2.5140, decode.d4.loss_mask: 1.0047, decode.d4.loss_dice: 1.4309, decode.d5.loss_cls: 2.4661, decode.d5.loss_mask: 1.0089, decode.d5.loss_dice: 1.4359, decode.d6.loss_cls: 2.4247, decode.d6.loss_mask: 1.0197, decode.d6.loss_dice: 1.4440, decode.d7.loss_cls: 2.3966, decode.d7.loss_mask: 1.0271, decode.d7.loss_dice: 1.4469, decode.d8.loss_cls: 2.3895, decode.d8.loss_mask: 1.0163, decode.d8.loss_dice: 1.4550, loss: 57.0353 2022-06-21 14:15:24,391 - mmseg - INFO - Iter [3550/40000] lr: 1.403e-05, eta: 4:44:09, time: 0.448, data_time: 0.011, memory: 40943, decode.loss_cls: 2.3521, decode.loss_mask: 1.0348, decode.loss_dice: 1.4644, decode.d0.loss_cls: 8.9813, decode.d0.loss_mask: 1.0507, decode.d0.loss_dice: 1.7794, decode.d1.loss_cls: 3.0845, decode.d1.loss_mask: 1.0315, decode.d1.loss_dice: 1.5233, decode.d2.loss_cls: 2.7333, decode.d2.loss_mask: 1.0243, decode.d2.loss_dice: 1.4567, decode.d3.loss_cls: 2.5742, decode.d3.loss_mask: 1.0249, decode.d3.loss_dice: 1.4471, decode.d4.loss_cls: 2.4777, decode.d4.loss_mask: 1.0224, decode.d4.loss_dice: 1.4556, decode.d5.loss_cls: 2.4131, decode.d5.loss_mask: 1.0274, decode.d5.loss_dice: 1.4607, decode.d6.loss_cls: 2.3809, decode.d6.loss_mask: 1.0291, decode.d6.loss_dice: 1.4579, decode.d7.loss_cls: 2.3679, decode.d7.loss_mask: 1.0243, decode.d7.loss_dice: 1.4623, decode.d8.loss_cls: 2.3475, decode.d8.loss_mask: 1.0299, decode.d8.loss_dice: 1.4580, loss: 56.9770 2022-06-21 14:15:46,896 - mmseg - INFO - Iter [3600/40000] lr: 1.401e-05, eta: 4:43:36, time: 0.449, data_time: 0.009, memory: 40943, decode.loss_cls: 2.3408, decode.loss_mask: 0.9805, decode.loss_dice: 1.4700, decode.d0.loss_cls: 8.9438, decode.d0.loss_mask: 1.0132, decode.d0.loss_dice: 1.7923, decode.d1.loss_cls: 3.0677, decode.d1.loss_mask: 0.9895, decode.d1.loss_dice: 1.5343, decode.d2.loss_cls: 2.7135, decode.d2.loss_mask: 0.9768, decode.d2.loss_dice: 1.4710, decode.d3.loss_cls: 2.5621, decode.d3.loss_mask: 0.9763, decode.d3.loss_dice: 1.4516, decode.d4.loss_cls: 2.4646, decode.d4.loss_mask: 0.9694, decode.d4.loss_dice: 1.4638, decode.d5.loss_cls: 2.4092, decode.d5.loss_mask: 0.9738, decode.d5.loss_dice: 1.4627, decode.d6.loss_cls: 2.3745, decode.d6.loss_mask: 0.9773, decode.d6.loss_dice: 1.4644, decode.d7.loss_cls: 2.3660, decode.d7.loss_mask: 0.9783, decode.d7.loss_dice: 1.4648, decode.d8.loss_cls: 2.3351, decode.d8.loss_mask: 0.9848, decode.d8.loss_dice: 1.4667, loss: 56.4387 2022-06-21 14:16:09,722 - mmseg - INFO - Iter [3650/40000] lr: 1.400e-05, eta: 4:43:07, time: 0.457, data_time: 0.009, memory: 40943, decode.loss_cls: 2.3819, decode.loss_mask: 1.0315, decode.loss_dice: 1.4681, decode.d0.loss_cls: 8.9283, decode.d0.loss_mask: 1.0630, decode.d0.loss_dice: 1.7860, decode.d1.loss_cls: 3.0715, decode.d1.loss_mask: 1.0334, decode.d1.loss_dice: 1.5220, decode.d2.loss_cls: 2.7197, decode.d2.loss_mask: 1.0142, decode.d2.loss_dice: 1.4611, decode.d3.loss_cls: 2.5708, decode.d3.loss_mask: 1.0193, decode.d3.loss_dice: 1.4529, decode.d4.loss_cls: 2.4840, decode.d4.loss_mask: 1.0173, decode.d4.loss_dice: 1.4579, decode.d5.loss_cls: 2.4431, decode.d5.loss_mask: 1.0200, decode.d5.loss_dice: 1.4598, decode.d6.loss_cls: 2.4095, decode.d6.loss_mask: 1.0223, decode.d6.loss_dice: 1.4544, decode.d7.loss_cls: 2.3807, decode.d7.loss_mask: 1.0227, decode.d7.loss_dice: 1.4645, decode.d8.loss_cls: 2.3768, decode.d8.loss_mask: 1.0290, decode.d8.loss_dice: 1.4731, loss: 57.0390 2022-06-21 14:16:32,311 - mmseg - INFO - Iter [3700/40000] lr: 1.398e-05, eta: 4:42:36, time: 0.451, data_time: 0.009, memory: 40943, decode.loss_cls: 2.3580, decode.loss_mask: 0.9838, decode.loss_dice: 1.4586, decode.d0.loss_cls: 8.8838, decode.d0.loss_mask: 1.0307, decode.d0.loss_dice: 1.7932, decode.d1.loss_cls: 3.0588, decode.d1.loss_mask: 0.9971, decode.d1.loss_dice: 1.5290, decode.d2.loss_cls: 2.7066, decode.d2.loss_mask: 0.9765, decode.d2.loss_dice: 1.4620, decode.d3.loss_cls: 2.5572, decode.d3.loss_mask: 0.9825, decode.d3.loss_dice: 1.4527, decode.d4.loss_cls: 2.4663, decode.d4.loss_mask: 0.9761, decode.d4.loss_dice: 1.4517, decode.d5.loss_cls: 2.4284, decode.d5.loss_mask: 0.9782, decode.d5.loss_dice: 1.4588, decode.d6.loss_cls: 2.3884, decode.d6.loss_mask: 0.9854, decode.d6.loss_dice: 1.4568, decode.d7.loss_cls: 2.3688, decode.d7.loss_mask: 0.9879, decode.d7.loss_dice: 1.4532, decode.d8.loss_cls: 2.3524, decode.d8.loss_mask: 0.9841, decode.d8.loss_dice: 1.4615, loss: 56.4284 2022-06-21 14:16:54,677 - mmseg - INFO - Iter [3750/40000] lr: 1.396e-05, eta: 4:42:03, time: 0.448, data_time: 0.010, memory: 40943, decode.loss_cls: 2.2669, decode.loss_mask: 1.0175, decode.loss_dice: 1.4506, decode.d0.loss_cls: 8.8290, decode.d0.loss_mask: 1.0360, decode.d0.loss_dice: 1.7323, decode.d1.loss_cls: 2.9414, decode.d1.loss_mask: 1.0240, decode.d1.loss_dice: 1.5025, decode.d2.loss_cls: 2.6138, decode.d2.loss_mask: 1.0046, decode.d2.loss_dice: 1.4467, decode.d3.loss_cls: 2.4620, decode.d3.loss_mask: 1.0029, decode.d3.loss_dice: 1.4354, decode.d4.loss_cls: 2.3699, decode.d4.loss_mask: 0.9993, decode.d4.loss_dice: 1.4367, decode.d5.loss_cls: 2.3222, decode.d5.loss_mask: 1.0075, decode.d5.loss_dice: 1.4390, decode.d6.loss_cls: 2.2844, decode.d6.loss_mask: 1.0120, decode.d6.loss_dice: 1.4423, decode.d7.loss_cls: 2.2669, decode.d7.loss_mask: 1.0129, decode.d7.loss_dice: 1.4397, decode.d8.loss_cls: 2.2525, decode.d8.loss_mask: 1.0202, decode.d8.loss_dice: 1.4435, loss: 55.5145 2022-06-21 14:17:18,444 - mmseg - INFO - Iter [3800/40000] lr: 1.394e-05, eta: 4:41:44, time: 0.475, data_time: 0.010, memory: 40943, decode.loss_cls: 2.3426, decode.loss_mask: 1.0158, decode.loss_dice: 1.4884, decode.d0.loss_cls: 8.7869, decode.d0.loss_mask: 1.0390, decode.d0.loss_dice: 1.7962, decode.d1.loss_cls: 3.0414, decode.d1.loss_mask: 1.0254, decode.d1.loss_dice: 1.5519, decode.d2.loss_cls: 2.6870, decode.d2.loss_mask: 1.0088, decode.d2.loss_dice: 1.4939, decode.d3.loss_cls: 2.5332, decode.d3.loss_mask: 1.0073, decode.d3.loss_dice: 1.4812, decode.d4.loss_cls: 2.4565, decode.d4.loss_mask: 1.0101, decode.d4.loss_dice: 1.4871, decode.d5.loss_cls: 2.4068, decode.d5.loss_mask: 1.0096, decode.d5.loss_dice: 1.4900, decode.d6.loss_cls: 2.3741, decode.d6.loss_mask: 1.0108, decode.d6.loss_dice: 1.4811, decode.d7.loss_cls: 2.3579, decode.d7.loss_mask: 1.0090, decode.d7.loss_dice: 1.4894, decode.d8.loss_cls: 2.3468, decode.d8.loss_mask: 1.0130, decode.d8.loss_dice: 1.4921, loss: 56.7336 2022-06-21 14:17:40,771 - mmseg - INFO - Iter [3850/40000] lr: 1.392e-05, eta: 4:41:11, time: 0.447, data_time: 0.011, memory: 40943, decode.loss_cls: 2.2492, decode.loss_mask: 1.0232, decode.loss_dice: 1.4221, decode.d0.loss_cls: 8.7633, decode.d0.loss_mask: 1.0614, decode.d0.loss_dice: 1.7376, decode.d1.loss_cls: 2.9286, decode.d1.loss_mask: 1.0453, decode.d1.loss_dice: 1.4841, decode.d2.loss_cls: 2.5888, decode.d2.loss_mask: 1.0329, decode.d2.loss_dice: 1.4274, decode.d3.loss_cls: 2.4362, decode.d3.loss_mask: 1.0312, decode.d3.loss_dice: 1.4137, decode.d4.loss_cls: 2.3585, decode.d4.loss_mask: 1.0302, decode.d4.loss_dice: 1.4219, decode.d5.loss_cls: 2.3107, decode.d5.loss_mask: 1.0279, decode.d5.loss_dice: 1.4253, decode.d6.loss_cls: 2.2768, decode.d6.loss_mask: 1.0262, decode.d6.loss_dice: 1.4155, decode.d7.loss_cls: 2.2595, decode.d7.loss_mask: 1.0254, decode.d7.loss_dice: 1.4207, decode.d8.loss_cls: 2.2523, decode.d8.loss_mask: 1.0180, decode.d8.loss_dice: 1.4249, loss: 55.3390 2022-06-21 14:18:03,583 - mmseg - INFO - Iter [3900/40000] lr: 1.390e-05, eta: 4:40:43, time: 0.456, data_time: 0.010, memory: 40943, decode.loss_cls: 2.2903, decode.loss_mask: 1.0062, decode.loss_dice: 1.4694, decode.d0.loss_cls: 8.7171, decode.d0.loss_mask: 1.0294, decode.d0.loss_dice: 1.7733, decode.d1.loss_cls: 2.9683, decode.d1.loss_mask: 1.0194, decode.d1.loss_dice: 1.5305, decode.d2.loss_cls: 2.6195, decode.d2.loss_mask: 1.0010, decode.d2.loss_dice: 1.4715, decode.d3.loss_cls: 2.4761, decode.d3.loss_mask: 0.9977, decode.d3.loss_dice: 1.4622, decode.d4.loss_cls: 2.3859, decode.d4.loss_mask: 1.0019, decode.d4.loss_dice: 1.4722, decode.d5.loss_cls: 2.3493, decode.d5.loss_mask: 1.0056, decode.d5.loss_dice: 1.4671, decode.d6.loss_cls: 2.3089, decode.d6.loss_mask: 1.0105, decode.d6.loss_dice: 1.4624, decode.d7.loss_cls: 2.2941, decode.d7.loss_mask: 1.0078, decode.d7.loss_dice: 1.4709, decode.d8.loss_cls: 2.2835, decode.d8.loss_mask: 1.0085, decode.d8.loss_dice: 1.4711, loss: 55.8316 2022-06-21 14:18:28,832 - mmseg - INFO - Iter [3950/40000] lr: 1.388e-05, eta: 4:40:37, time: 0.505, data_time: 0.059, memory: 40943, decode.loss_cls: 2.2086, decode.loss_mask: 1.0002, decode.loss_dice: 1.4544, decode.d0.loss_cls: 8.6470, decode.d0.loss_mask: 1.0108, decode.d0.loss_dice: 1.7462, decode.d1.loss_cls: 2.9161, decode.d1.loss_mask: 0.9973, decode.d1.loss_dice: 1.5000, decode.d2.loss_cls: 2.5587, decode.d2.loss_mask: 0.9947, decode.d2.loss_dice: 1.4496, decode.d3.loss_cls: 2.3996, decode.d3.loss_mask: 0.9891, decode.d3.loss_dice: 1.4396, decode.d4.loss_cls: 2.3098, decode.d4.loss_mask: 0.9900, decode.d4.loss_dice: 1.4498, decode.d5.loss_cls: 2.2740, decode.d5.loss_mask: 0.9900, decode.d5.loss_dice: 1.4445, decode.d6.loss_cls: 2.2497, decode.d6.loss_mask: 0.9986, decode.d6.loss_dice: 1.4419, decode.d7.loss_cls: 2.2303, decode.d7.loss_mask: 0.9956, decode.d7.loss_dice: 1.4506, decode.d8.loss_cls: 2.1993, decode.d8.loss_mask: 0.9986, decode.d8.loss_dice: 1.4575, loss: 54.7922 2022-06-21 14:18:51,539 - mmseg - INFO - Saving checkpoint at 4000 iterations 2022-06-21 14:18:59,414 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:18:59,414 - mmseg - INFO - Iter [4000/40000] lr: 1.386e-05, eta: 4:41:19, time: 0.612, data_time: 0.010, memory: 40943, decode.loss_cls: 2.2146, decode.loss_mask: 1.0179, decode.loss_dice: 1.4244, decode.d0.loss_cls: 8.6555, decode.d0.loss_mask: 1.0457, decode.d0.loss_dice: 1.7157, decode.d1.loss_cls: 2.9343, decode.d1.loss_mask: 1.0261, decode.d1.loss_dice: 1.4750, decode.d2.loss_cls: 2.5669, decode.d2.loss_mask: 1.0045, decode.d2.loss_dice: 1.4166, decode.d3.loss_cls: 2.4125, decode.d3.loss_mask: 1.0029, decode.d3.loss_dice: 1.4016, decode.d4.loss_cls: 2.3217, decode.d4.loss_mask: 1.0085, decode.d4.loss_dice: 1.4145, decode.d5.loss_cls: 2.2781, decode.d5.loss_mask: 1.0100, decode.d5.loss_dice: 1.4147, decode.d6.loss_cls: 2.2477, decode.d6.loss_mask: 1.0128, decode.d6.loss_dice: 1.4095, decode.d7.loss_cls: 2.2276, decode.d7.loss_mask: 1.0111, decode.d7.loss_dice: 1.4178, decode.d8.loss_cls: 2.2083, decode.d8.loss_mask: 1.0125, decode.d8.loss_dice: 1.4235, loss: 54.7321 2022-06-21 14:20:18,293 - mmseg - INFO - per class results: 2022-06-21 14:20:18,306 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 85.41 | 93.94 | | bicycle | 33.83 | 41.4 | | car | 36.84 | 57.57 | | motorcycle | 65.54 | 90.33 | | airplane | 85.67 | 96.62 | | bus | 76.4 | 87.38 | | train | 56.0 | 91.34 | | truck | 39.84 | 51.3 | | boat | 65.7 | 81.51 | | traffic light | 41.3 | 88.92 | | fire hydrant | 0.0 | 0.0 | | stop sign | 63.19 | 67.8 | | parking meter | 0.0 | 0.0 | | bench | 28.41 | 55.71 | | bird | 22.77 | 60.53 | | cat | 80.68 | 96.13 | | dog | 54.34 | 90.56 | | horse | 69.43 | 95.08 | | sheep | 75.56 | 78.2 | | cow | 45.99 | 46.15 | | elephant | 91.51 | 95.62 | | bear | 0.0 | 0.0 | | zebra | 87.86 | 92.95 | | giraffe | 82.12 | 90.22 | | backpack | 8.09 | 9.81 | | umbrella | 51.84 | 84.75 | | handbag | 2.64 | 3.44 | | tie | 0.0 | 0.0 | | suitcase | 31.1 | 33.85 | | frisbee | 8.5 | 8.54 | | skis | 19.84 | 57.72 | | snowboard | 23.87 | 25.3 | | sports ball | 3.45 | 4.75 | | kite | 14.5 | 14.72 | | baseball bat | 36.34 | 44.19 | | baseball glove | 0.1 | 0.1 | | skateboard | 64.53 | 81.07 | | surfboard | 69.38 | 83.55 | | tennis racket | 29.11 | 30.24 | | bottle | 46.17 | 72.87 | | wine glass | 0.0 | 0.0 | | cup | 36.01 | 65.89 | | fork | 0.0 | 0.0 | | knife | 18.15 | 23.19 | | spoon | 0.0 | 0.0 | | bowl | 29.32 | 77.53 | | banana | 17.05 | 34.75 | | apple | 11.08 | 11.08 | | sandwich | 55.21 | 57.87 | | orange | 0.0 | 0.0 | | broccoli | 74.41 | 88.52 | | carrot | 0.0 | 0.0 | | hot dog | 0.0 | 0.0 | | pizza | 75.41 | 95.03 | | donut | 0.0 | 0.0 | | cake | 43.04 | 55.1 | | chair | 35.41 | 76.73 | | couch | 47.69 | 66.31 | | potted plant | 46.62 | 55.56 | | bed | 61.08 | 94.35 | | dining table | 45.71 | 86.63 | | toilet | 57.89 | 96.65 | | tv | 39.66 | 82.17 | | laptop | 42.02 | 86.48 | | mouse | 4.06 | 4.16 | | remote | 0.0 | 0.0 | | keyboard | 26.43 | 33.28 | | cell phone | 0.0 | 0.0 | | microwave | 0.0 | 0.0 | | oven | 25.98 | 35.73 | | toaster | 0.0 | 0.0 | | sink | 33.63 | 44.93 | | refrigerator | 0.0 | 0.0 | | book | 19.02 | 26.92 | | clock | 63.85 | 77.26 | | vase | 0.0 | 0.0 | | scissors | 0.0 | 0.0 | | teddy bear | 25.77 | 26.26 | | hair drier | 0.0 | 0.0 | | toothbrush | 0.0 | 0.0 | | banner | 0.0 | 0.0 | | blanket | 0.0 | 0.0 | | branch | 0.0 | 0.0 | | bridge | 0.0 | 0.0 | | building-other | 48.91 | 83.8 | | bush | 26.24 | 50.8 | | cabinet | 15.85 | 36.23 | | cage | 0.0 | 0.0 | | cardboard | 0.0 | 0.0 | | carpet | 42.5 | 53.83 | | ceiling-other | 53.9 | 66.33 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 0.0 | 0.0 | | clouds | 43.78 | 60.85 | | counter | 16.91 | 20.2 | | cupboard | 46.67 | 56.06 | | curtain | 51.94 | 71.54 | | desk-stuff | 0.0 | 0.0 | | dirt | 29.34 | 55.48 | | door-stuff | 9.34 | 12.21 | | fence | 34.73 | 78.81 | | floor-marble | 0.0 | 0.0 | | floor-other | 19.27 | 37.9 | | floor-stone | 0.0 | 0.0 | | floor-tile | 38.96 | 41.58 | | floor-wood | 35.59 | 56.32 | | flower | 0.0 | 0.0 | | fog | 0.0 | 0.0 | | food-other | 4.24 | 10.98 | | fruit | 0.0 | 0.0 | | furniture-other | 6.59 | 7.25 | | grass | 74.0 | 85.59 | | gravel | 0.43 | 0.47 | | ground-other | 3.59 | 5.05 | | hill | 20.01 | 28.18 | | house | 0.55 | 0.55 | | leaves | 0.0 | 0.0 | | light | 28.1 | 39.28 | | mat | 0.0 | 0.0 | | metal | 0.0 | 0.0 | | mirror-stuff | 0.0 | 0.0 | | moss | 0.0 | 0.0 | | mountain | 20.91 | 40.35 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 0.0 | 0.0 | | paper | 0.0 | 0.0 | | pavement | 33.19 | 52.64 | | pillow | 0.0 | 0.0 | | plant-other | 20.19 | 24.08 | | plastic | 0.0 | 0.0 | | platform | 0.0 | 0.0 | | playingfield | 69.62 | 87.25 | | railing | 0.69 | 0.7 | | railroad | 37.46 | 49.36 | | river | 0.0 | 0.0 | | road | 53.33 | 88.36 | | rock | 38.81 | 46.06 | | roof | 0.0 | 0.0 | | rug | 4.7 | 4.74 | | salad | 0.0 | 0.0 | | sand | 55.11 | 63.38 | | sea | 66.17 | 97.27 | | shelf | 0.0 | 0.0 | | sky-other | 55.0 | 71.98 | | skyscraper | 0.0 | 0.0 | | snow | 90.32 | 95.45 | | solid-other | nan | nan | | stairs | 0.0 | 0.0 | | stone | 0.0 | 0.0 | | straw | 0.0 | 0.0 | | structural-other | 11.7 | 20.5 | | table | 3.81 | 5.21 | | tent | 0.0 | 0.0 | | textile-other | 0.0 | 0.0 | | towel | 0.0 | 0.0 | | tree | 74.59 | 84.94 | | vegetable | 0.0 | 0.0 | | wall-brick | 14.72 | 20.85 | | wall-concrete | 0.0 | 0.0 | | wall-other | 54.01 | 86.67 | | wall-panel | 0.0 | 0.0 | | wall-stone | 0.0 | 0.0 | | wall-tile | 23.85 | 33.52 | | wall-wood | 0.0 | 0.0 | | water-other | 12.4 | 17.39 | | waterdrops | nan | nan | | window-blind | 0.0 | 0.0 | | window-other | 33.75 | 55.64 | | wood | 0.0 | 0.0 | +------------------+-------+-------+ 2022-06-21 14:20:18,306 - mmseg - INFO - Summary: 2022-06-21 14:20:18,307 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 64.54 | 24.01 | 33.21 | +-------+-------+-------+ 2022-06-21 14:20:25,756 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_4000.pth. 2022-06-21 14:20:25,757 - mmseg - INFO - Best mIoU is 0.2401 at 4000 iter. 2022-06-21 14:20:25,761 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:20:25,762 - mmseg - INFO - Iter(val) [125] aAcc: 0.6454, mIoU: 0.2401, mAcc: 0.3321, IoU.person: 0.8541, IoU.bicycle: 0.3383, IoU.car: 0.3684, IoU.motorcycle: 0.6554, IoU.airplane: 0.8567, IoU.bus: 0.7640, IoU.train: 0.5600, IoU.truck: 0.3984, IoU.boat: 0.6570, IoU.traffic light: 0.4130, IoU.fire hydrant: 0.0000, IoU.stop sign: 0.6319, IoU.parking meter: 0.0000, IoU.bench: 0.2841, IoU.bird: 0.2277, IoU.cat: 0.8068, IoU.dog: 0.5434, IoU.horse: 0.6943, IoU.sheep: 0.7556, IoU.cow: 0.4599, IoU.elephant: 0.9151, IoU.bear: 0.0000, IoU.zebra: 0.8786, IoU.giraffe: 0.8212, IoU.backpack: 0.0809, IoU.umbrella: 0.5184, IoU.handbag: 0.0264, IoU.tie: 0.0000, IoU.suitcase: 0.3110, IoU.frisbee: 0.0850, IoU.skis: 0.1984, IoU.snowboard: 0.2387, IoU.sports ball: 0.0345, IoU.kite: 0.1450, IoU.baseball bat: 0.3634, IoU.baseball glove: 0.0010, IoU.skateboard: 0.6453, IoU.surfboard: 0.6938, IoU.tennis racket: 0.2911, IoU.bottle: 0.4617, IoU.wine glass: 0.0000, IoU.cup: 0.3601, IoU.fork: 0.0000, IoU.knife: 0.1815, IoU.spoon: 0.0000, IoU.bowl: 0.2932, IoU.banana: 0.1705, IoU.apple: 0.1108, IoU.sandwich: 0.5521, IoU.orange: 0.0000, IoU.broccoli: 0.7441, IoU.carrot: 0.0000, IoU.hot dog: 0.0000, IoU.pizza: 0.7541, IoU.donut: 0.0000, IoU.cake: 0.4304, IoU.chair: 0.3541, IoU.couch: 0.4769, IoU.potted plant: 0.4662, IoU.bed: 0.6108, IoU.dining table: 0.4571, IoU.toilet: 0.5789, IoU.tv: 0.3966, IoU.laptop: 0.4202, IoU.mouse: 0.0406, IoU.remote: 0.0000, IoU.keyboard: 0.2643, IoU.cell phone: 0.0000, IoU.microwave: 0.0000, IoU.oven: 0.2598, IoU.toaster: 0.0000, IoU.sink: 0.3363, IoU.refrigerator: 0.0000, IoU.book: 0.1902, IoU.clock: 0.6385, IoU.vase: 0.0000, IoU.scissors: 0.0000, IoU.teddy bear: 0.2577, IoU.hair drier: 0.0000, IoU.toothbrush: 0.0000, IoU.banner: 0.0000, IoU.blanket: 0.0000, IoU.branch: 0.0000, IoU.bridge: 0.0000, IoU.building-other: 0.4891, IoU.bush: 0.2624, IoU.cabinet: 0.1585, IoU.cage: 0.0000, IoU.cardboard: 0.0000, IoU.carpet: 0.4250, IoU.ceiling-other: 0.5390, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.0000, IoU.clouds: 0.4378, IoU.counter: 0.1691, IoU.cupboard: 0.4667, IoU.curtain: 0.5194, IoU.desk-stuff: 0.0000, IoU.dirt: 0.2934, IoU.door-stuff: 0.0934, IoU.fence: 0.3473, IoU.floor-marble: 0.0000, IoU.floor-other: 0.1927, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.3896, IoU.floor-wood: 0.3559, IoU.flower: 0.0000, IoU.fog: 0.0000, IoU.food-other: 0.0424, IoU.fruit: 0.0000, IoU.furniture-other: 0.0659, IoU.grass: 0.7400, IoU.gravel: 0.0043, IoU.ground-other: 0.0359, IoU.hill: 0.2001, IoU.house: 0.0055, IoU.leaves: 0.0000, IoU.light: 0.2810, IoU.mat: 0.0000, IoU.metal: 0.0000, IoU.mirror-stuff: 0.0000, IoU.moss: 0.0000, IoU.mountain: 0.2091, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.0000, IoU.paper: 0.0000, IoU.pavement: 0.3319, IoU.pillow: 0.0000, IoU.plant-other: 0.2019, IoU.plastic: 0.0000, IoU.platform: 0.0000, IoU.playingfield: 0.6962, IoU.railing: 0.0069, IoU.railroad: 0.3746, IoU.river: 0.0000, IoU.road: 0.5333, IoU.rock: 0.3881, IoU.roof: 0.0000, IoU.rug: 0.0470, IoU.salad: 0.0000, IoU.sand: 0.5511, IoU.sea: 0.6617, IoU.shelf: 0.0000, IoU.sky-other: 0.5500, IoU.skyscraper: 0.0000, IoU.snow: 0.9032, IoU.solid-other: nan, IoU.stairs: 0.0000, IoU.stone: 0.0000, IoU.straw: 0.0000, IoU.structural-other: 0.1170, IoU.table: 0.0381, IoU.tent: 0.0000, IoU.textile-other: 0.0000, IoU.towel: 0.0000, IoU.tree: 0.7459, IoU.vegetable: 0.0000, IoU.wall-brick: 0.1472, IoU.wall-concrete: 0.0000, IoU.wall-other: 0.5401, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.0000, IoU.wall-tile: 0.2385, IoU.wall-wood: 0.0000, IoU.water-other: 0.1240, IoU.waterdrops: nan, IoU.window-blind: 0.0000, IoU.window-other: 0.3375, IoU.wood: 0.0000, Acc.person: 0.9394, Acc.bicycle: 0.4140, Acc.car: 0.5757, Acc.motorcycle: 0.9033, Acc.airplane: 0.9662, Acc.bus: 0.8738, Acc.train: 0.9134, Acc.truck: 0.5130, Acc.boat: 0.8151, Acc.traffic light: 0.8892, Acc.fire hydrant: 0.0000, Acc.stop sign: 0.6780, Acc.parking meter: 0.0000, Acc.bench: 0.5571, Acc.bird: 0.6053, Acc.cat: 0.9613, Acc.dog: 0.9056, Acc.horse: 0.9508, Acc.sheep: 0.7820, Acc.cow: 0.4615, Acc.elephant: 0.9562, Acc.bear: 0.0000, Acc.zebra: 0.9295, Acc.giraffe: 0.9022, Acc.backpack: 0.0981, Acc.umbrella: 0.8475, Acc.handbag: 0.0344, Acc.tie: 0.0000, Acc.suitcase: 0.3385, Acc.frisbee: 0.0854, Acc.skis: 0.5772, Acc.snowboard: 0.2530, Acc.sports ball: 0.0475, Acc.kite: 0.1472, Acc.baseball bat: 0.4419, Acc.baseball glove: 0.0010, Acc.skateboard: 0.8107, Acc.surfboard: 0.8355, Acc.tennis racket: 0.3024, Acc.bottle: 0.7287, Acc.wine glass: 0.0000, Acc.cup: 0.6589, Acc.fork: 0.0000, Acc.knife: 0.2319, Acc.spoon: 0.0000, Acc.bowl: 0.7753, Acc.banana: 0.3475, Acc.apple: 0.1108, Acc.sandwich: 0.5787, Acc.orange: 0.0000, Acc.broccoli: 0.8852, Acc.carrot: 0.0000, Acc.hot dog: 0.0000, Acc.pizza: 0.9503, Acc.donut: 0.0000, Acc.cake: 0.5510, Acc.chair: 0.7673, Acc.couch: 0.6631, Acc.potted plant: 0.5556, Acc.bed: 0.9435, Acc.dining table: 0.8663, Acc.toilet: 0.9665, Acc.tv: 0.8217, Acc.laptop: 0.8648, Acc.mouse: 0.0416, Acc.remote: 0.0000, Acc.keyboard: 0.3328, Acc.cell phone: 0.0000, Acc.microwave: 0.0000, Acc.oven: 0.3573, Acc.toaster: 0.0000, Acc.sink: 0.4493, Acc.refrigerator: 0.0000, Acc.book: 0.2692, Acc.clock: 0.7726, Acc.vase: 0.0000, Acc.scissors: 0.0000, Acc.teddy bear: 0.2626, Acc.hair drier: 0.0000, Acc.toothbrush: 0.0000, Acc.banner: 0.0000, Acc.blanket: 0.0000, Acc.branch: 0.0000, Acc.bridge: 0.0000, Acc.building-other: 0.8380, Acc.bush: 0.5080, Acc.cabinet: 0.3623, Acc.cage: 0.0000, Acc.cardboard: 0.0000, Acc.carpet: 0.5383, Acc.ceiling-other: 0.6633, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.0000, Acc.clouds: 0.6085, Acc.counter: 0.2020, Acc.cupboard: 0.5606, Acc.curtain: 0.7154, Acc.desk-stuff: 0.0000, Acc.dirt: 0.5548, Acc.door-stuff: 0.1221, Acc.fence: 0.7881, Acc.floor-marble: 0.0000, Acc.floor-other: 0.3790, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.4158, Acc.floor-wood: 0.5632, Acc.flower: 0.0000, Acc.fog: 0.0000, Acc.food-other: 0.1098, Acc.fruit: 0.0000, Acc.furniture-other: 0.0725, Acc.grass: 0.8559, Acc.gravel: 0.0047, Acc.ground-other: 0.0505, Acc.hill: 0.2818, Acc.house: 0.0055, Acc.leaves: 0.0000, Acc.light: 0.3928, Acc.mat: 0.0000, Acc.metal: 0.0000, Acc.mirror-stuff: 0.0000, Acc.moss: 0.0000, Acc.mountain: 0.4035, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.0000, Acc.paper: 0.0000, Acc.pavement: 0.5264, Acc.pillow: 0.0000, Acc.plant-other: 0.2408, Acc.plastic: 0.0000, Acc.platform: 0.0000, Acc.playingfield: 0.8725, Acc.railing: 0.0070, Acc.railroad: 0.4936, Acc.river: 0.0000, Acc.road: 0.8836, Acc.rock: 0.4606, Acc.roof: 0.0000, Acc.rug: 0.0474, Acc.salad: 0.0000, Acc.sand: 0.6338, Acc.sea: 0.9727, Acc.shelf: 0.0000, Acc.sky-other: 0.7198, Acc.skyscraper: 0.0000, Acc.snow: 0.9545, Acc.solid-other: nan, Acc.stairs: 0.0000, Acc.stone: 0.0000, Acc.straw: 0.0000, Acc.structural-other: 0.2050, Acc.table: 0.0521, Acc.tent: 0.0000, Acc.textile-other: 0.0000, Acc.towel: 0.0000, Acc.tree: 0.8494, Acc.vegetable: 0.0000, Acc.wall-brick: 0.2085, Acc.wall-concrete: 0.0000, Acc.wall-other: 0.8667, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.0000, Acc.wall-tile: 0.3352, Acc.wall-wood: 0.0000, Acc.water-other: 0.1739, Acc.waterdrops: nan, Acc.window-blind: 0.0000, Acc.window-other: 0.5564, Acc.wood: 0.0000 2022-06-21 14:20:50,152 - mmseg - INFO - Iter [4050/40000] lr: 1.384e-05, eta: 4:53:50, time: 2.215, data_time: 1.736, memory: 40943, decode.loss_cls: 2.1841, decode.loss_mask: 0.9950, decode.loss_dice: 1.4232, decode.d0.loss_cls: 8.6108, decode.d0.loss_mask: 1.0313, decode.d0.loss_dice: 1.7286, decode.d1.loss_cls: 2.8925, decode.d1.loss_mask: 1.0085, decode.d1.loss_dice: 1.4824, decode.d2.loss_cls: 2.5432, decode.d2.loss_mask: 0.9954, decode.d2.loss_dice: 1.4311, decode.d3.loss_cls: 2.3902, decode.d3.loss_mask: 0.9883, decode.d3.loss_dice: 1.4038, decode.d4.loss_cls: 2.3017, decode.d4.loss_mask: 0.9899, decode.d4.loss_dice: 1.4115, decode.d5.loss_cls: 2.2490, decode.d5.loss_mask: 0.9948, decode.d5.loss_dice: 1.4151, decode.d6.loss_cls: 2.2171, decode.d6.loss_mask: 0.9930, decode.d6.loss_dice: 1.4085, decode.d7.loss_cls: 2.2059, decode.d7.loss_mask: 0.9950, decode.d7.loss_dice: 1.4107, decode.d8.loss_cls: 2.1851, decode.d8.loss_mask: 0.9950, decode.d8.loss_dice: 1.4184, loss: 54.2991 2022-06-21 14:21:14,156 - mmseg - INFO - Iter [4100/40000] lr: 1.382e-05, eta: 4:53:21, time: 0.480, data_time: 0.009, memory: 40943, decode.loss_cls: 2.1553, decode.loss_mask: 1.0029, decode.loss_dice: 1.4449, decode.d0.loss_cls: 8.5609, decode.d0.loss_mask: 1.0232, decode.d0.loss_dice: 1.7135, decode.d1.loss_cls: 2.8560, decode.d1.loss_mask: 1.0088, decode.d1.loss_dice: 1.4913, decode.d2.loss_cls: 2.4978, decode.d2.loss_mask: 0.9986, decode.d2.loss_dice: 1.4415, decode.d3.loss_cls: 2.3437, decode.d3.loss_mask: 0.9980, decode.d3.loss_dice: 1.4268, decode.d4.loss_cls: 2.2520, decode.d4.loss_mask: 1.0063, decode.d4.loss_dice: 1.4458, decode.d5.loss_cls: 2.2088, decode.d5.loss_mask: 1.0061, decode.d5.loss_dice: 1.4377, decode.d6.loss_cls: 2.1860, decode.d6.loss_mask: 1.0059, decode.d6.loss_dice: 1.4316, decode.d7.loss_cls: 2.1672, decode.d7.loss_mask: 1.0014, decode.d7.loss_dice: 1.4373, decode.d8.loss_cls: 2.1488, decode.d8.loss_mask: 1.0001, decode.d8.loss_dice: 1.4460, loss: 54.1446 2022-06-21 14:21:38,225 - mmseg - INFO - Iter [4150/40000] lr: 1.380e-05, eta: 4:52:53, time: 0.481, data_time: 0.009, memory: 40943, decode.loss_cls: 2.1520, decode.loss_mask: 0.9720, decode.loss_dice: 1.4061, decode.d0.loss_cls: 8.5066, decode.d0.loss_mask: 1.0009, decode.d0.loss_dice: 1.6926, decode.d1.loss_cls: 2.8561, decode.d1.loss_mask: 0.9789, decode.d1.loss_dice: 1.4664, decode.d2.loss_cls: 2.5005, decode.d2.loss_mask: 0.9654, decode.d2.loss_dice: 1.4052, decode.d3.loss_cls: 2.3529, decode.d3.loss_mask: 0.9724, decode.d3.loss_dice: 1.3977, decode.d4.loss_cls: 2.2695, decode.d4.loss_mask: 0.9728, decode.d4.loss_dice: 1.4026, decode.d5.loss_cls: 2.2227, decode.d5.loss_mask: 0.9763, decode.d5.loss_dice: 1.4006, decode.d6.loss_cls: 2.1827, decode.d6.loss_mask: 0.9708, decode.d6.loss_dice: 1.3971, decode.d7.loss_cls: 2.1730, decode.d7.loss_mask: 0.9711, decode.d7.loss_dice: 1.3999, decode.d8.loss_cls: 2.1502, decode.d8.loss_mask: 0.9715, decode.d8.loss_dice: 1.4071, loss: 53.4937 2022-06-21 14:22:04,303 - mmseg - INFO - Iter [4200/40000] lr: 1.378e-05, eta: 4:52:42, time: 0.522, data_time: 0.009, memory: 40943, decode.loss_cls: 2.1667, decode.loss_mask: 0.9589, decode.loss_dice: 1.4203, decode.d0.loss_cls: 8.4870, decode.d0.loss_mask: 0.9968, decode.d0.loss_dice: 1.7256, decode.d1.loss_cls: 2.8780, decode.d1.loss_mask: 0.9779, decode.d1.loss_dice: 1.4780, decode.d2.loss_cls: 2.4994, decode.d2.loss_mask: 0.9685, decode.d2.loss_dice: 1.4216, decode.d3.loss_cls: 2.3534, decode.d3.loss_mask: 0.9616, decode.d3.loss_dice: 1.4053, decode.d4.loss_cls: 2.2703, decode.d4.loss_mask: 0.9543, decode.d4.loss_dice: 1.4159, decode.d5.loss_cls: 2.2193, decode.d5.loss_mask: 0.9583, decode.d5.loss_dice: 1.4148, decode.d6.loss_cls: 2.1904, decode.d6.loss_mask: 0.9531, decode.d6.loss_dice: 1.4073, decode.d7.loss_cls: 2.1837, decode.d7.loss_mask: 0.9640, decode.d7.loss_dice: 1.4128, decode.d8.loss_cls: 2.1612, decode.d8.loss_mask: 0.9583, decode.d8.loss_dice: 1.4210, loss: 53.5836 2022-06-21 14:22:30,092 - mmseg - INFO - Iter [4250/40000] lr: 1.376e-05, eta: 4:52:28, time: 0.516, data_time: 0.009, memory: 40943, decode.loss_cls: 2.1559, decode.loss_mask: 1.0129, decode.loss_dice: 1.4499, decode.d0.loss_cls: 8.4399, decode.d0.loss_mask: 1.0161, decode.d0.loss_dice: 1.7409, decode.d1.loss_cls: 2.8726, decode.d1.loss_mask: 1.0102, decode.d1.loss_dice: 1.5110, decode.d2.loss_cls: 2.5087, decode.d2.loss_mask: 1.0020, decode.d2.loss_dice: 1.4618, decode.d3.loss_cls: 2.3623, decode.d3.loss_mask: 1.0037, decode.d3.loss_dice: 1.4417, decode.d4.loss_cls: 2.2764, decode.d4.loss_mask: 1.0032, decode.d4.loss_dice: 1.4516, decode.d5.loss_cls: 2.2306, decode.d5.loss_mask: 1.0048, decode.d5.loss_dice: 1.4506, decode.d6.loss_cls: 2.2008, decode.d6.loss_mask: 1.0012, decode.d6.loss_dice: 1.4457, decode.d7.loss_cls: 2.1794, decode.d7.loss_mask: 1.0021, decode.d7.loss_dice: 1.4488, decode.d8.loss_cls: 2.1551, decode.d8.loss_mask: 1.0033, decode.d8.loss_dice: 1.4527, loss: 54.2960 2022-06-21 14:22:56,648 - mmseg - INFO - Iter [4300/40000] lr: 1.375e-05, eta: 4:52:20, time: 0.530, data_time: 0.010, memory: 40943, decode.loss_cls: 2.1207, decode.loss_mask: 1.0128, decode.loss_dice: 1.4479, decode.d0.loss_cls: 8.3975, decode.d0.loss_mask: 1.0307, decode.d0.loss_dice: 1.7092, decode.d1.loss_cls: 2.8144, decode.d1.loss_mask: 1.0226, decode.d1.loss_dice: 1.4951, decode.d2.loss_cls: 2.4529, decode.d2.loss_mask: 1.0081, decode.d2.loss_dice: 1.4351, decode.d3.loss_cls: 2.3092, decode.d3.loss_mask: 1.0059, decode.d3.loss_dice: 1.4253, decode.d4.loss_cls: 2.2335, decode.d4.loss_mask: 1.0064, decode.d4.loss_dice: 1.4337, decode.d5.loss_cls: 2.1771, decode.d5.loss_mask: 1.0112, decode.d5.loss_dice: 1.4325, decode.d6.loss_cls: 2.1484, decode.d6.loss_mask: 1.0095, decode.d6.loss_dice: 1.4256, decode.d7.loss_cls: 2.1294, decode.d7.loss_mask: 1.0114, decode.d7.loss_dice: 1.4422, decode.d8.loss_cls: 2.1070, decode.d8.loss_mask: 1.0088, decode.d8.loss_dice: 1.4476, loss: 53.7117 2022-06-21 14:23:23,417 - mmseg - INFO - Iter [4350/40000] lr: 1.373e-05, eta: 4:52:14, time: 0.536, data_time: 0.010, memory: 40943, decode.loss_cls: 2.1146, decode.loss_mask: 0.9944, decode.loss_dice: 1.4464, decode.d0.loss_cls: 8.3480, decode.d0.loss_mask: 1.0123, decode.d0.loss_dice: 1.7334, decode.d1.loss_cls: 2.8402, decode.d1.loss_mask: 0.9965, decode.d1.loss_dice: 1.4988, decode.d2.loss_cls: 2.4425, decode.d2.loss_mask: 0.9972, decode.d2.loss_dice: 1.4585, decode.d3.loss_cls: 2.2975, decode.d3.loss_mask: 0.9947, decode.d3.loss_dice: 1.4292, decode.d4.loss_cls: 2.2293, decode.d4.loss_mask: 0.9864, decode.d4.loss_dice: 1.4486, decode.d5.loss_cls: 2.1782, decode.d5.loss_mask: 0.9938, decode.d5.loss_dice: 1.4388, decode.d6.loss_cls: 2.1472, decode.d6.loss_mask: 0.9875, decode.d6.loss_dice: 1.4423, decode.d7.loss_cls: 2.1341, decode.d7.loss_mask: 0.9888, decode.d7.loss_dice: 1.4429, decode.d8.loss_cls: 2.1165, decode.d8.loss_mask: 0.9911, decode.d8.loss_dice: 1.4459, loss: 53.5757 2022-06-21 14:23:51,007 - mmseg - INFO - Iter [4400/40000] lr: 1.371e-05, eta: 4:52:13, time: 0.552, data_time: 0.010, memory: 40943, decode.loss_cls: 2.1016, decode.loss_mask: 1.0240, decode.loss_dice: 1.4400, decode.d0.loss_cls: 8.3031, decode.d0.loss_mask: 1.0358, decode.d0.loss_dice: 1.7153, decode.d1.loss_cls: 2.7796, decode.d1.loss_mask: 1.0339, decode.d1.loss_dice: 1.4859, decode.d2.loss_cls: 2.4340, decode.d2.loss_mask: 1.0194, decode.d2.loss_dice: 1.4335, decode.d3.loss_cls: 2.2810, decode.d3.loss_mask: 1.0209, decode.d3.loss_dice: 1.4194, decode.d4.loss_cls: 2.2027, decode.d4.loss_mask: 1.0195, decode.d4.loss_dice: 1.4263, decode.d5.loss_cls: 2.1640, decode.d5.loss_mask: 1.0228, decode.d5.loss_dice: 1.4226, decode.d6.loss_cls: 2.1460, decode.d6.loss_mask: 1.0180, decode.d6.loss_dice: 1.4284, decode.d7.loss_cls: 2.1261, decode.d7.loss_mask: 1.0231, decode.d7.loss_dice: 1.4301, decode.d8.loss_cls: 2.1093, decode.d8.loss_mask: 1.0225, decode.d8.loss_dice: 1.4404, loss: 53.5291 2022-06-21 14:24:18,045 - mmseg - INFO - Iter [4450/40000] lr: 1.369e-05, eta: 4:52:08, time: 0.540, data_time: 0.010, memory: 40943, decode.loss_cls: 2.0999, decode.loss_mask: 0.9811, decode.loss_dice: 1.4390, decode.d0.loss_cls: 8.2846, decode.d0.loss_mask: 0.9919, decode.d0.loss_dice: 1.7034, decode.d1.loss_cls: 2.7988, decode.d1.loss_mask: 0.9844, decode.d1.loss_dice: 1.4819, decode.d2.loss_cls: 2.4304, decode.d2.loss_mask: 0.9688, decode.d2.loss_dice: 1.4225, decode.d3.loss_cls: 2.2730, decode.d3.loss_mask: 0.9700, decode.d3.loss_dice: 1.4061, decode.d4.loss_cls: 2.1891, decode.d4.loss_mask: 0.9701, decode.d4.loss_dice: 1.4284, decode.d5.loss_cls: 2.1486, decode.d5.loss_mask: 0.9707, decode.d5.loss_dice: 1.4277, decode.d6.loss_cls: 2.1135, decode.d6.loss_mask: 0.9732, decode.d6.loss_dice: 1.4170, decode.d7.loss_cls: 2.0990, decode.d7.loss_mask: 0.9775, decode.d7.loss_dice: 1.4271, decode.d8.loss_cls: 2.0971, decode.d8.loss_mask: 0.9709, decode.d8.loss_dice: 1.4317, loss: 52.8775 2022-06-21 14:24:46,992 - mmseg - INFO - Iter [4500/40000] lr: 1.367e-05, eta: 4:52:17, time: 0.580, data_time: 0.059, memory: 40943, decode.loss_cls: 2.1412, decode.loss_mask: 0.9905, decode.loss_dice: 1.4668, decode.d0.loss_cls: 8.2831, decode.d0.loss_mask: 1.0193, decode.d0.loss_dice: 1.7523, decode.d1.loss_cls: 2.8432, decode.d1.loss_mask: 1.0005, decode.d1.loss_dice: 1.5169, decode.d2.loss_cls: 2.4729, decode.d2.loss_mask: 0.9887, decode.d2.loss_dice: 1.4681, decode.d3.loss_cls: 2.3133, decode.d3.loss_mask: 0.9985, decode.d3.loss_dice: 1.4493, decode.d4.loss_cls: 2.2381, decode.d4.loss_mask: 0.9967, decode.d4.loss_dice: 1.4612, decode.d5.loss_cls: 2.1895, decode.d5.loss_mask: 0.9927, decode.d5.loss_dice: 1.4660, decode.d6.loss_cls: 2.1653, decode.d6.loss_mask: 0.9916, decode.d6.loss_dice: 1.4499, decode.d7.loss_cls: 2.1466, decode.d7.loss_mask: 0.9971, decode.d7.loss_dice: 1.4587, decode.d8.loss_cls: 2.1342, decode.d8.loss_mask: 0.9964, decode.d8.loss_dice: 1.4659, loss: 53.8544 2022-06-21 14:25:15,017 - mmseg - INFO - Iter [4550/40000] lr: 1.365e-05, eta: 4:52:18, time: 0.560, data_time: 0.009, memory: 40943, decode.loss_cls: 2.0550, decode.loss_mask: 0.9794, decode.loss_dice: 1.4058, decode.d0.loss_cls: 8.1986, decode.d0.loss_mask: 0.9971, decode.d0.loss_dice: 1.6768, decode.d1.loss_cls: 2.7535, decode.d1.loss_mask: 0.9945, decode.d1.loss_dice: 1.4582, decode.d2.loss_cls: 2.3764, decode.d2.loss_mask: 0.9734, decode.d2.loss_dice: 1.4075, decode.d3.loss_cls: 2.2326, decode.d3.loss_mask: 0.9739, decode.d3.loss_dice: 1.3921, decode.d4.loss_cls: 2.1477, decode.d4.loss_mask: 0.9747, decode.d4.loss_dice: 1.4002, decode.d5.loss_cls: 2.1033, decode.d5.loss_mask: 0.9739, decode.d5.loss_dice: 1.3980, decode.d6.loss_cls: 2.0783, decode.d6.loss_mask: 0.9775, decode.d6.loss_dice: 1.3933, decode.d7.loss_cls: 2.0598, decode.d7.loss_mask: 0.9825, decode.d7.loss_dice: 1.4059, decode.d8.loss_cls: 2.0482, decode.d8.loss_mask: 0.9809, decode.d8.loss_dice: 1.4048, loss: 52.2038 2022-06-21 14:25:41,725 - mmseg - INFO - Iter [4600/40000] lr: 1.363e-05, eta: 4:52:09, time: 0.534, data_time: 0.009, memory: 40943, decode.loss_cls: 2.0071, decode.loss_mask: 0.9494, decode.loss_dice: 1.3868, decode.d0.loss_cls: 8.1435, decode.d0.loss_mask: 0.9652, decode.d0.loss_dice: 1.6502, decode.d1.loss_cls: 2.7035, decode.d1.loss_mask: 0.9483, decode.d1.loss_dice: 1.4276, decode.d2.loss_cls: 2.3339, decode.d2.loss_mask: 0.9419, decode.d2.loss_dice: 1.3883, decode.d3.loss_cls: 2.1828, decode.d3.loss_mask: 0.9403, decode.d3.loss_dice: 1.3731, decode.d4.loss_cls: 2.1037, decode.d4.loss_mask: 0.9413, decode.d4.loss_dice: 1.3873, decode.d5.loss_cls: 2.0611, decode.d5.loss_mask: 0.9485, decode.d5.loss_dice: 1.3863, decode.d6.loss_cls: 2.0297, decode.d6.loss_mask: 0.9487, decode.d6.loss_dice: 1.3861, decode.d7.loss_cls: 2.0171, decode.d7.loss_mask: 0.9429, decode.d7.loss_dice: 1.3833, decode.d8.loss_cls: 1.9935, decode.d8.loss_mask: 0.9506, decode.d8.loss_dice: 1.3894, loss: 51.2112 2022-06-21 14:26:07,914 - mmseg - INFO - Iter [4650/40000] lr: 1.361e-05, eta: 4:51:55, time: 0.523, data_time: 0.010, memory: 40943, decode.loss_cls: 2.0659, decode.loss_mask: 0.9780, decode.loss_dice: 1.3913, decode.d0.loss_cls: 8.1418, decode.d0.loss_mask: 0.9935, decode.d0.loss_dice: 1.6747, decode.d1.loss_cls: 2.7543, decode.d1.loss_mask: 0.9789, decode.d1.loss_dice: 1.4327, decode.d2.loss_cls: 2.3878, decode.d2.loss_mask: 0.9660, decode.d2.loss_dice: 1.3783, decode.d3.loss_cls: 2.2393, decode.d3.loss_mask: 0.9666, decode.d3.loss_dice: 1.3632, decode.d4.loss_cls: 2.1666, decode.d4.loss_mask: 0.9656, decode.d4.loss_dice: 1.3792, decode.d5.loss_cls: 2.1275, decode.d5.loss_mask: 0.9665, decode.d5.loss_dice: 1.3789, decode.d6.loss_cls: 2.1144, decode.d6.loss_mask: 0.9683, decode.d6.loss_dice: 1.3737, decode.d7.loss_cls: 2.0830, decode.d7.loss_mask: 0.9731, decode.d7.loss_dice: 1.3835, decode.d8.loss_cls: 2.0612, decode.d8.loss_mask: 0.9756, decode.d8.loss_dice: 1.3929, loss: 52.0225 2022-06-21 14:26:34,637 - mmseg - INFO - Iter [4700/40000] lr: 1.359e-05, eta: 4:51:45, time: 0.535, data_time: 0.010, memory: 40943, decode.loss_cls: 2.0623, decode.loss_mask: 0.9517, decode.loss_dice: 1.3911, decode.d0.loss_cls: 8.1125, decode.d0.loss_mask: 0.9748, decode.d0.loss_dice: 1.6581, decode.d1.loss_cls: 2.7646, decode.d1.loss_mask: 0.9700, decode.d1.loss_dice: 1.4466, decode.d2.loss_cls: 2.3936, decode.d2.loss_mask: 0.9572, decode.d2.loss_dice: 1.3813, decode.d3.loss_cls: 2.2417, decode.d3.loss_mask: 0.9536, decode.d3.loss_dice: 1.3699, decode.d4.loss_cls: 2.1774, decode.d4.loss_mask: 0.9434, decode.d4.loss_dice: 1.3796, decode.d5.loss_cls: 2.1303, decode.d5.loss_mask: 0.9485, decode.d5.loss_dice: 1.3859, decode.d6.loss_cls: 2.1046, decode.d6.loss_mask: 0.9526, decode.d6.loss_dice: 1.3797, decode.d7.loss_cls: 2.0890, decode.d7.loss_mask: 0.9498, decode.d7.loss_dice: 1.3811, decode.d8.loss_cls: 2.0743, decode.d8.loss_mask: 0.9461, decode.d8.loss_dice: 1.3951, loss: 51.8664 2022-06-21 14:27:02,528 - mmseg - INFO - Iter [4750/40000] lr: 1.357e-05, eta: 4:51:43, time: 0.558, data_time: 0.010, memory: 40943, decode.loss_cls: 2.0059, decode.loss_mask: 0.9999, decode.loss_dice: 1.4084, decode.d0.loss_cls: 8.0561, decode.d0.loss_mask: 1.0226, decode.d0.loss_dice: 1.6810, decode.d1.loss_cls: 2.6929, decode.d1.loss_mask: 1.0089, decode.d1.loss_dice: 1.4547, decode.d2.loss_cls: 2.3190, decode.d2.loss_mask: 0.9966, decode.d2.loss_dice: 1.4063, decode.d3.loss_cls: 2.1712, decode.d3.loss_mask: 0.9967, decode.d3.loss_dice: 1.3860, decode.d4.loss_cls: 2.0928, decode.d4.loss_mask: 0.9995, decode.d4.loss_dice: 1.3975, decode.d5.loss_cls: 2.0613, decode.d5.loss_mask: 1.0012, decode.d5.loss_dice: 1.3973, decode.d6.loss_cls: 2.0347, decode.d6.loss_mask: 1.0006, decode.d6.loss_dice: 1.3886, decode.d7.loss_cls: 2.0214, decode.d7.loss_mask: 0.9982, decode.d7.loss_dice: 1.4005, decode.d8.loss_cls: 2.0062, decode.d8.loss_mask: 0.9995, decode.d8.loss_dice: 1.4060, loss: 51.8113 2022-06-21 14:27:29,461 - mmseg - INFO - Iter [4800/40000] lr: 1.355e-05, eta: 4:51:33, time: 0.539, data_time: 0.010, memory: 40943, decode.loss_cls: 1.9528, decode.loss_mask: 0.9573, decode.loss_dice: 1.3989, decode.d0.loss_cls: 8.0109, decode.d0.loss_mask: 0.9770, decode.d0.loss_dice: 1.6632, decode.d1.loss_cls: 2.6569, decode.d1.loss_mask: 0.9576, decode.d1.loss_dice: 1.4459, decode.d2.loss_cls: 2.2718, decode.d2.loss_mask: 0.9483, decode.d2.loss_dice: 1.3966, decode.d3.loss_cls: 2.1190, decode.d3.loss_mask: 0.9586, decode.d3.loss_dice: 1.3894, decode.d4.loss_cls: 2.0522, decode.d4.loss_mask: 0.9537, decode.d4.loss_dice: 1.3915, decode.d5.loss_cls: 2.0071, decode.d5.loss_mask: 0.9494, decode.d5.loss_dice: 1.3872, decode.d6.loss_cls: 1.9763, decode.d6.loss_mask: 0.9536, decode.d6.loss_dice: 1.3931, decode.d7.loss_cls: 1.9643, decode.d7.loss_mask: 0.9606, decode.d7.loss_dice: 1.3989, decode.d8.loss_cls: 1.9466, decode.d8.loss_mask: 0.9589, decode.d8.loss_dice: 1.4023, loss: 50.8000 2022-06-21 14:27:56,209 - mmseg - INFO - Iter [4850/40000] lr: 1.353e-05, eta: 4:51:22, time: 0.535, data_time: 0.009, memory: 40943, decode.loss_cls: 1.9893, decode.loss_mask: 0.9800, decode.loss_dice: 1.4238, decode.d0.loss_cls: 7.9628, decode.d0.loss_mask: 1.0128, decode.d0.loss_dice: 1.6885, decode.d1.loss_cls: 2.6774, decode.d1.loss_mask: 0.9953, decode.d1.loss_dice: 1.4755, decode.d2.loss_cls: 2.3054, decode.d2.loss_mask: 0.9815, decode.d2.loss_dice: 1.4253, decode.d3.loss_cls: 2.1611, decode.d3.loss_mask: 0.9843, decode.d3.loss_dice: 1.4148, decode.d4.loss_cls: 2.0907, decode.d4.loss_mask: 0.9819, decode.d4.loss_dice: 1.4186, decode.d5.loss_cls: 2.0524, decode.d5.loss_mask: 0.9785, decode.d5.loss_dice: 1.4149, decode.d6.loss_cls: 2.0175, decode.d6.loss_mask: 0.9835, decode.d6.loss_dice: 1.4107, decode.d7.loss_cls: 2.0107, decode.d7.loss_mask: 0.9813, decode.d7.loss_dice: 1.4172, decode.d8.loss_cls: 1.9828, decode.d8.loss_mask: 0.9782, decode.d8.loss_dice: 1.4219, loss: 51.6187 2022-06-21 14:28:23,141 - mmseg - INFO - Iter [4900/40000] lr: 1.351e-05, eta: 4:51:12, time: 0.538, data_time: 0.010, memory: 40943, decode.loss_cls: 2.0539, decode.loss_mask: 1.0021, decode.loss_dice: 1.4370, decode.d0.loss_cls: 7.9374, decode.d0.loss_mask: 1.0272, decode.d0.loss_dice: 1.7027, decode.d1.loss_cls: 2.7121, decode.d1.loss_mask: 1.0132, decode.d1.loss_dice: 1.4802, decode.d2.loss_cls: 2.3433, decode.d2.loss_mask: 0.9997, decode.d2.loss_dice: 1.4372, decode.d3.loss_cls: 2.2033, decode.d3.loss_mask: 1.0017, decode.d3.loss_dice: 1.4295, decode.d4.loss_cls: 2.1382, decode.d4.loss_mask: 1.0035, decode.d4.loss_dice: 1.4328, decode.d5.loss_cls: 2.1065, decode.d5.loss_mask: 1.0080, decode.d5.loss_dice: 1.4346, decode.d6.loss_cls: 2.0798, decode.d6.loss_mask: 1.0095, decode.d6.loss_dice: 1.4320, decode.d7.loss_cls: 2.0685, decode.d7.loss_mask: 1.0083, decode.d7.loss_dice: 1.4332, decode.d8.loss_cls: 2.0471, decode.d8.loss_mask: 1.0076, decode.d8.loss_dice: 1.4404, loss: 52.4305 2022-06-21 14:28:49,817 - mmseg - INFO - Iter [4950/40000] lr: 1.349e-05, eta: 4:51:00, time: 0.534, data_time: 0.011, memory: 40943, decode.loss_cls: 2.0142, decode.loss_mask: 0.9723, decode.loss_dice: 1.4056, decode.d0.loss_cls: 7.9065, decode.d0.loss_mask: 1.0139, decode.d0.loss_dice: 1.6818, decode.d1.loss_cls: 2.6945, decode.d1.loss_mask: 0.9806, decode.d1.loss_dice: 1.4591, decode.d2.loss_cls: 2.3092, decode.d2.loss_mask: 0.9698, decode.d2.loss_dice: 1.4118, decode.d3.loss_cls: 2.1731, decode.d3.loss_mask: 0.9731, decode.d3.loss_dice: 1.3963, decode.d4.loss_cls: 2.1032, decode.d4.loss_mask: 0.9683, decode.d4.loss_dice: 1.4050, decode.d5.loss_cls: 2.0619, decode.d5.loss_mask: 0.9734, decode.d5.loss_dice: 1.4047, decode.d6.loss_cls: 2.0403, decode.d6.loss_mask: 0.9695, decode.d6.loss_dice: 1.4048, decode.d7.loss_cls: 2.0274, decode.d7.loss_mask: 0.9734, decode.d7.loss_dice: 1.4048, decode.d8.loss_cls: 2.0098, decode.d8.loss_mask: 0.9764, decode.d8.loss_dice: 1.4006, loss: 51.4855 2022-06-21 14:29:16,307 - mmseg - INFO - Saving checkpoint at 5000 iterations 2022-06-21 14:29:23,208 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:29:23,208 - mmseg - INFO - Iter [5000/40000] lr: 1.348e-05, eta: 4:51:34, time: 0.668, data_time: 0.010, memory: 40943, decode.loss_cls: 1.9384, decode.loss_mask: 0.9942, decode.loss_dice: 1.3963, decode.d0.loss_cls: 7.8499, decode.d0.loss_mask: 1.0116, decode.d0.loss_dice: 1.6550, decode.d1.loss_cls: 2.6035, decode.d1.loss_mask: 1.0083, decode.d1.loss_dice: 1.4379, decode.d2.loss_cls: 2.2210, decode.d2.loss_mask: 0.9985, decode.d2.loss_dice: 1.3949, decode.d3.loss_cls: 2.0876, decode.d3.loss_mask: 0.9947, decode.d3.loss_dice: 1.3831, decode.d4.loss_cls: 2.0171, decode.d4.loss_mask: 0.9985, decode.d4.loss_dice: 1.3957, decode.d5.loss_cls: 1.9816, decode.d5.loss_mask: 0.9951, decode.d5.loss_dice: 1.3869, decode.d6.loss_cls: 1.9581, decode.d6.loss_mask: 0.9964, decode.d6.loss_dice: 1.3893, decode.d7.loss_cls: 1.9495, decode.d7.loss_mask: 1.0029, decode.d7.loss_dice: 1.3970, decode.d8.loss_cls: 1.9320, decode.d8.loss_mask: 0.9972, decode.d8.loss_dice: 1.3991, loss: 50.7712 2022-06-21 14:29:48,855 - mmseg - INFO - Iter [5050/40000] lr: 1.346e-05, eta: 4:51:14, time: 0.513, data_time: 0.011, memory: 40943, decode.loss_cls: 1.9654, decode.loss_mask: 0.9846, decode.loss_dice: 1.4055, decode.d0.loss_cls: 7.8141, decode.d0.loss_mask: 0.9994, decode.d0.loss_dice: 1.6790, decode.d1.loss_cls: 2.6061, decode.d1.loss_mask: 0.9891, decode.d1.loss_dice: 1.4674, decode.d2.loss_cls: 2.2397, decode.d2.loss_mask: 0.9831, decode.d2.loss_dice: 1.4162, decode.d3.loss_cls: 2.1032, decode.d3.loss_mask: 0.9780, decode.d3.loss_dice: 1.4091, decode.d4.loss_cls: 2.0433, decode.d4.loss_mask: 0.9819, decode.d4.loss_dice: 1.4161, decode.d5.loss_cls: 2.0053, decode.d5.loss_mask: 0.9808, decode.d5.loss_dice: 1.4026, decode.d6.loss_cls: 1.9821, decode.d6.loss_mask: 0.9833, decode.d6.loss_dice: 1.3988, decode.d7.loss_cls: 1.9702, decode.d7.loss_mask: 0.9819, decode.d7.loss_dice: 1.4043, decode.d8.loss_cls: 1.9656, decode.d8.loss_mask: 0.9813, decode.d8.loss_dice: 1.4025, loss: 50.9401 2022-06-21 14:30:18,211 - mmseg - INFO - Iter [5100/40000] lr: 1.344e-05, eta: 4:51:18, time: 0.586, data_time: 0.058, memory: 40943, decode.loss_cls: 1.9162, decode.loss_mask: 0.9606, decode.loss_dice: 1.3871, decode.d0.loss_cls: 7.7586, decode.d0.loss_mask: 0.9798, decode.d0.loss_dice: 1.6465, decode.d1.loss_cls: 2.6045, decode.d1.loss_mask: 0.9750, decode.d1.loss_dice: 1.4369, decode.d2.loss_cls: 2.2225, decode.d2.loss_mask: 0.9630, decode.d2.loss_dice: 1.3992, decode.d3.loss_cls: 2.0764, decode.d3.loss_mask: 0.9603, decode.d3.loss_dice: 1.3796, decode.d4.loss_cls: 2.0178, decode.d4.loss_mask: 0.9569, decode.d4.loss_dice: 1.3852, decode.d5.loss_cls: 1.9734, decode.d5.loss_mask: 0.9582, decode.d5.loss_dice: 1.3854, decode.d6.loss_cls: 1.9420, decode.d6.loss_mask: 0.9603, decode.d6.loss_dice: 1.3728, decode.d7.loss_cls: 1.9298, decode.d7.loss_mask: 0.9610, decode.d7.loss_dice: 1.3856, decode.d8.loss_cls: 1.9130, decode.d8.loss_mask: 0.9632, decode.d8.loss_dice: 1.3897, loss: 50.1605 2022-06-21 14:30:45,122 - mmseg - INFO - Iter [5150/40000] lr: 1.342e-05, eta: 4:51:06, time: 0.539, data_time: 0.010, memory: 40943, decode.loss_cls: 1.9497, decode.loss_mask: 0.9643, decode.loss_dice: 1.3821, decode.d0.loss_cls: 7.7350, decode.d0.loss_mask: 0.9779, decode.d0.loss_dice: 1.6456, decode.d1.loss_cls: 2.6255, decode.d1.loss_mask: 0.9626, decode.d1.loss_dice: 1.4221, decode.d2.loss_cls: 2.2598, decode.d2.loss_mask: 0.9633, decode.d2.loss_dice: 1.3881, decode.d3.loss_cls: 2.1085, decode.d3.loss_mask: 0.9618, decode.d3.loss_dice: 1.3809, decode.d4.loss_cls: 2.0356, decode.d4.loss_mask: 0.9604, decode.d4.loss_dice: 1.3917, decode.d5.loss_cls: 2.0045, decode.d5.loss_mask: 0.9647, decode.d5.loss_dice: 1.3880, decode.d6.loss_cls: 1.9722, decode.d6.loss_mask: 0.9596, decode.d6.loss_dice: 1.3799, decode.d7.loss_cls: 1.9545, decode.d7.loss_mask: 0.9661, decode.d7.loss_dice: 1.3877, decode.d8.loss_cls: 1.9435, decode.d8.loss_mask: 0.9639, decode.d8.loss_dice: 1.3822, loss: 50.3816 2022-06-21 14:31:11,351 - mmseg - INFO - Iter [5200/40000] lr: 1.340e-05, eta: 4:50:49, time: 0.524, data_time: 0.009, memory: 40943, decode.loss_cls: 1.9714, decode.loss_mask: 0.9818, decode.loss_dice: 1.4111, decode.d0.loss_cls: 7.6922, decode.d0.loss_mask: 1.0041, decode.d0.loss_dice: 1.6689, decode.d1.loss_cls: 2.6430, decode.d1.loss_mask: 0.9888, decode.d1.loss_dice: 1.4613, decode.d2.loss_cls: 2.2702, decode.d2.loss_mask: 0.9793, decode.d2.loss_dice: 1.4195, decode.d3.loss_cls: 2.1270, decode.d3.loss_mask: 0.9857, decode.d3.loss_dice: 1.3951, decode.d4.loss_cls: 2.0622, decode.d4.loss_mask: 0.9826, decode.d4.loss_dice: 1.3998, decode.d5.loss_cls: 2.0273, decode.d5.loss_mask: 0.9812, decode.d5.loss_dice: 1.4054, decode.d6.loss_cls: 1.9955, decode.d6.loss_mask: 0.9851, decode.d6.loss_dice: 1.4073, decode.d7.loss_cls: 1.9804, decode.d7.loss_mask: 0.9817, decode.d7.loss_dice: 1.4067, decode.d8.loss_cls: 1.9650, decode.d8.loss_mask: 0.9796, decode.d8.loss_dice: 1.4136, loss: 50.9728 2022-06-21 14:31:38,330 - mmseg - INFO - Iter [5250/40000] lr: 1.338e-05, eta: 4:50:37, time: 0.540, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8622, decode.loss_mask: 0.9670, decode.loss_dice: 1.3474, decode.d0.loss_cls: 7.6723, decode.d0.loss_mask: 0.9830, decode.d0.loss_dice: 1.6123, decode.d1.loss_cls: 2.5567, decode.d1.loss_mask: 0.9637, decode.d1.loss_dice: 1.3978, decode.d2.loss_cls: 2.1795, decode.d2.loss_mask: 0.9559, decode.d2.loss_dice: 1.3555, decode.d3.loss_cls: 2.0288, decode.d3.loss_mask: 0.9550, decode.d3.loss_dice: 1.3366, decode.d4.loss_cls: 1.9608, decode.d4.loss_mask: 0.9525, decode.d4.loss_dice: 1.3389, decode.d5.loss_cls: 1.9098, decode.d5.loss_mask: 0.9604, decode.d5.loss_dice: 1.3473, decode.d6.loss_cls: 1.8894, decode.d6.loss_mask: 0.9565, decode.d6.loss_dice: 1.3439, decode.d7.loss_cls: 1.8750, decode.d7.loss_mask: 0.9557, decode.d7.loss_dice: 1.3391, decode.d8.loss_cls: 1.8690, decode.d8.loss_mask: 0.9623, decode.d8.loss_dice: 1.3510, loss: 49.1855 2022-06-21 14:32:05,375 - mmseg - INFO - Iter [5300/40000] lr: 1.336e-05, eta: 4:50:24, time: 0.540, data_time: 0.009, memory: 40943, decode.loss_cls: 1.9712, decode.loss_mask: 0.9716, decode.loss_dice: 1.4126, decode.d0.loss_cls: 7.6409, decode.d0.loss_mask: 0.9926, decode.d0.loss_dice: 1.6806, decode.d1.loss_cls: 2.6595, decode.d1.loss_mask: 0.9774, decode.d1.loss_dice: 1.4608, decode.d2.loss_cls: 2.2765, decode.d2.loss_mask: 0.9628, decode.d2.loss_dice: 1.4076, decode.d3.loss_cls: 2.1338, decode.d3.loss_mask: 0.9632, decode.d3.loss_dice: 1.3994, decode.d4.loss_cls: 2.0642, decode.d4.loss_mask: 0.9687, decode.d4.loss_dice: 1.4104, decode.d5.loss_cls: 2.0243, decode.d5.loss_mask: 0.9711, decode.d5.loss_dice: 1.4003, decode.d6.loss_cls: 1.9979, decode.d6.loss_mask: 0.9696, decode.d6.loss_dice: 1.4040, decode.d7.loss_cls: 1.9725, decode.d7.loss_mask: 0.9727, decode.d7.loss_dice: 1.4021, decode.d8.loss_cls: 1.9645, decode.d8.loss_mask: 0.9714, decode.d8.loss_dice: 1.4114, loss: 50.8157 2022-06-21 14:32:31,625 - mmseg - INFO - Iter [5350/40000] lr: 1.334e-05, eta: 4:50:07, time: 0.526, data_time: 0.010, memory: 40943, decode.loss_cls: 1.9210, decode.loss_mask: 0.9798, decode.loss_dice: 1.4125, decode.d0.loss_cls: 7.5802, decode.d0.loss_mask: 0.9997, decode.d0.loss_dice: 1.6671, decode.d1.loss_cls: 2.5659, decode.d1.loss_mask: 0.9881, decode.d1.loss_dice: 1.4537, decode.d2.loss_cls: 2.2103, decode.d2.loss_mask: 0.9743, decode.d2.loss_dice: 1.4166, decode.d3.loss_cls: 2.0832, decode.d3.loss_mask: 0.9748, decode.d3.loss_dice: 1.4033, decode.d4.loss_cls: 2.0192, decode.d4.loss_mask: 0.9719, decode.d4.loss_dice: 1.4131, decode.d5.loss_cls: 1.9799, decode.d5.loss_mask: 0.9769, decode.d5.loss_dice: 1.4059, decode.d6.loss_cls: 1.9492, decode.d6.loss_mask: 0.9769, decode.d6.loss_dice: 1.4025, decode.d7.loss_cls: 1.9398, decode.d7.loss_mask: 0.9780, decode.d7.loss_dice: 1.4071, decode.d8.loss_cls: 1.9228, decode.d8.loss_mask: 0.9810, decode.d8.loss_dice: 1.4135, loss: 50.3684 2022-06-21 14:32:58,009 - mmseg - INFO - Iter [5400/40000] lr: 1.332e-05, eta: 4:49:49, time: 0.527, data_time: 0.009, memory: 40943, decode.loss_cls: 1.9219, decode.loss_mask: 0.9491, decode.loss_dice: 1.4013, decode.d0.loss_cls: 7.5492, decode.d0.loss_mask: 0.9751, decode.d0.loss_dice: 1.6695, decode.d1.loss_cls: 2.5854, decode.d1.loss_mask: 0.9658, decode.d1.loss_dice: 1.4675, decode.d2.loss_cls: 2.2027, decode.d2.loss_mask: 0.9559, decode.d2.loss_dice: 1.4201, decode.d3.loss_cls: 2.0619, decode.d3.loss_mask: 0.9531, decode.d3.loss_dice: 1.4067, decode.d4.loss_cls: 1.9959, decode.d4.loss_mask: 0.9542, decode.d4.loss_dice: 1.4061, decode.d5.loss_cls: 1.9662, decode.d5.loss_mask: 0.9499, decode.d5.loss_dice: 1.4077, decode.d6.loss_cls: 1.9511, decode.d6.loss_mask: 0.9473, decode.d6.loss_dice: 1.3990, decode.d7.loss_cls: 1.9310, decode.d7.loss_mask: 0.9531, decode.d7.loss_dice: 1.4005, decode.d8.loss_cls: 1.9199, decode.d8.loss_mask: 0.9455, decode.d8.loss_dice: 1.4049, loss: 50.0176 2022-06-21 14:33:23,420 - mmseg - INFO - Iter [5450/40000] lr: 1.330e-05, eta: 4:49:26, time: 0.509, data_time: 0.012, memory: 40943, decode.loss_cls: 1.8905, decode.loss_mask: 0.9625, decode.loss_dice: 1.4123, decode.d0.loss_cls: 7.5010, decode.d0.loss_mask: 0.9953, decode.d0.loss_dice: 1.6605, decode.d1.loss_cls: 2.5531, decode.d1.loss_mask: 0.9864, decode.d1.loss_dice: 1.4485, decode.d2.loss_cls: 2.1668, decode.d2.loss_mask: 0.9797, decode.d2.loss_dice: 1.4146, decode.d3.loss_cls: 2.0437, decode.d3.loss_mask: 0.9668, decode.d3.loss_dice: 1.3913, decode.d4.loss_cls: 1.9819, decode.d4.loss_mask: 0.9654, decode.d4.loss_dice: 1.4032, decode.d5.loss_cls: 1.9409, decode.d5.loss_mask: 0.9644, decode.d5.loss_dice: 1.4014, decode.d6.loss_cls: 1.9158, decode.d6.loss_mask: 0.9686, decode.d6.loss_dice: 1.4001, decode.d7.loss_cls: 1.9098, decode.d7.loss_mask: 0.9681, decode.d7.loss_dice: 1.3990, decode.d8.loss_cls: 1.8920, decode.d8.loss_mask: 0.9637, decode.d8.loss_dice: 1.4052, loss: 49.8526 2022-06-21 14:33:48,933 - mmseg - INFO - Iter [5500/40000] lr: 1.328e-05, eta: 4:49:03, time: 0.510, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8686, decode.loss_mask: 0.9903, decode.loss_dice: 1.3536, decode.d0.loss_cls: 7.4458, decode.d0.loss_mask: 0.9989, decode.d0.loss_dice: 1.6027, decode.d1.loss_cls: 2.5151, decode.d1.loss_mask: 0.9975, decode.d1.loss_dice: 1.4083, decode.d2.loss_cls: 2.1503, decode.d2.loss_mask: 0.9944, decode.d2.loss_dice: 1.3611, decode.d3.loss_cls: 2.0150, decode.d3.loss_mask: 0.9941, decode.d3.loss_dice: 1.3425, decode.d4.loss_cls: 1.9575, decode.d4.loss_mask: 0.9877, decode.d4.loss_dice: 1.3543, decode.d5.loss_cls: 1.9175, decode.d5.loss_mask: 0.9871, decode.d5.loss_dice: 1.3610, decode.d6.loss_cls: 1.8971, decode.d6.loss_mask: 0.9856, decode.d6.loss_dice: 1.3464, decode.d7.loss_cls: 1.8899, decode.d7.loss_mask: 0.9882, decode.d7.loss_dice: 1.3538, decode.d8.loss_cls: 1.8797, decode.d8.loss_mask: 0.9854, decode.d8.loss_dice: 1.3547, loss: 49.2841 2022-06-21 14:34:15,266 - mmseg - INFO - Iter [5550/40000] lr: 1.326e-05, eta: 4:48:46, time: 0.527, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8926, decode.loss_mask: 0.9521, decode.loss_dice: 1.3975, decode.d0.loss_cls: 7.4112, decode.d0.loss_mask: 0.9746, decode.d0.loss_dice: 1.6385, decode.d1.loss_cls: 2.5104, decode.d1.loss_mask: 0.9578, decode.d1.loss_dice: 1.4407, decode.d2.loss_cls: 2.1491, decode.d2.loss_mask: 0.9521, decode.d2.loss_dice: 1.3838, decode.d3.loss_cls: 2.0071, decode.d3.loss_mask: 0.9524, decode.d3.loss_dice: 1.3830, decode.d4.loss_cls: 1.9558, decode.d4.loss_mask: 0.9521, decode.d4.loss_dice: 1.3922, decode.d5.loss_cls: 1.9270, decode.d5.loss_mask: 0.9564, decode.d5.loss_dice: 1.3927, decode.d6.loss_cls: 1.8961, decode.d6.loss_mask: 0.9511, decode.d6.loss_dice: 1.3863, decode.d7.loss_cls: 1.8961, decode.d7.loss_mask: 0.9534, decode.d7.loss_dice: 1.3905, decode.d8.loss_cls: 1.8831, decode.d8.loss_mask: 0.9530, decode.d8.loss_dice: 1.3985, loss: 49.2869 2022-06-21 14:34:40,397 - mmseg - INFO - Iter [5600/40000] lr: 1.324e-05, eta: 4:48:20, time: 0.502, data_time: 0.011, memory: 40943, decode.loss_cls: 1.8278, decode.loss_mask: 0.9934, decode.loss_dice: 1.4080, decode.d0.loss_cls: 7.3663, decode.d0.loss_mask: 1.0052, decode.d0.loss_dice: 1.6520, decode.d1.loss_cls: 2.4678, decode.d1.loss_mask: 0.9980, decode.d1.loss_dice: 1.4500, decode.d2.loss_cls: 2.0993, decode.d2.loss_mask: 0.9791, decode.d2.loss_dice: 1.4037, decode.d3.loss_cls: 1.9700, decode.d3.loss_mask: 0.9894, decode.d3.loss_dice: 1.3919, decode.d4.loss_cls: 1.9063, decode.d4.loss_mask: 0.9934, decode.d4.loss_dice: 1.3999, decode.d5.loss_cls: 1.8721, decode.d5.loss_mask: 0.9953, decode.d5.loss_dice: 1.4054, decode.d6.loss_cls: 1.8466, decode.d6.loss_mask: 1.0013, decode.d6.loss_dice: 1.4021, decode.d7.loss_cls: 1.8273, decode.d7.loss_mask: 0.9962, decode.d7.loss_dice: 1.4026, decode.d8.loss_cls: 1.8158, decode.d8.loss_mask: 0.9919, decode.d8.loss_dice: 1.4065, loss: 49.2644 2022-06-21 14:35:09,351 - mmseg - INFO - Iter [5650/40000] lr: 1.323e-05, eta: 4:48:18, time: 0.579, data_time: 0.060, memory: 40943, decode.loss_cls: 1.8139, decode.loss_mask: 0.9567, decode.loss_dice: 1.3527, decode.d0.loss_cls: 7.3232, decode.d0.loss_mask: 0.9849, decode.d0.loss_dice: 1.5951, decode.d1.loss_cls: 2.4528, decode.d1.loss_mask: 0.9717, decode.d1.loss_dice: 1.4028, decode.d2.loss_cls: 2.0862, decode.d2.loss_mask: 0.9623, decode.d2.loss_dice: 1.3535, decode.d3.loss_cls: 1.9636, decode.d3.loss_mask: 0.9486, decode.d3.loss_dice: 1.3437, decode.d4.loss_cls: 1.8936, decode.d4.loss_mask: 0.9503, decode.d4.loss_dice: 1.3523, decode.d5.loss_cls: 1.8622, decode.d5.loss_mask: 0.9590, decode.d5.loss_dice: 1.3502, decode.d6.loss_cls: 1.8392, decode.d6.loss_mask: 0.9577, decode.d6.loss_dice: 1.3455, decode.d7.loss_cls: 1.8188, decode.d7.loss_mask: 0.9598, decode.d7.loss_dice: 1.3544, decode.d8.loss_cls: 1.8105, decode.d8.loss_mask: 0.9590, decode.d8.loss_dice: 1.3528, loss: 48.2768 2022-06-21 14:35:34,400 - mmseg - INFO - Iter [5700/40000] lr: 1.321e-05, eta: 4:47:52, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7868, decode.loss_mask: 0.9399, decode.loss_dice: 1.3467, decode.d0.loss_cls: 7.2777, decode.d0.loss_mask: 0.9513, decode.d0.loss_dice: 1.5868, decode.d1.loss_cls: 2.4403, decode.d1.loss_mask: 0.9452, decode.d1.loss_dice: 1.4036, decode.d2.loss_cls: 2.0668, decode.d2.loss_mask: 0.9441, decode.d2.loss_dice: 1.3566, decode.d3.loss_cls: 1.9302, decode.d3.loss_mask: 0.9444, decode.d3.loss_dice: 1.3394, decode.d4.loss_cls: 1.8675, decode.d4.loss_mask: 0.9451, decode.d4.loss_dice: 1.3428, decode.d5.loss_cls: 1.8435, decode.d5.loss_mask: 0.9357, decode.d5.loss_dice: 1.3483, decode.d6.loss_cls: 1.8146, decode.d6.loss_mask: 0.9366, decode.d6.loss_dice: 1.3437, decode.d7.loss_cls: 1.7876, decode.d7.loss_mask: 0.9372, decode.d7.loss_dice: 1.3481, decode.d8.loss_cls: 1.7881, decode.d8.loss_mask: 0.9338, decode.d8.loss_dice: 1.3461, loss: 47.7785 2022-06-21 14:36:00,692 - mmseg - INFO - Iter [5750/40000] lr: 1.319e-05, eta: 4:47:34, time: 0.526, data_time: 0.009, memory: 40943, decode.loss_cls: 1.7899, decode.loss_mask: 0.9683, decode.loss_dice: 1.3425, decode.d0.loss_cls: 7.2699, decode.d0.loss_mask: 0.9896, decode.d0.loss_dice: 1.5868, decode.d1.loss_cls: 2.4348, decode.d1.loss_mask: 0.9878, decode.d1.loss_dice: 1.3919, decode.d2.loss_cls: 2.0589, decode.d2.loss_mask: 0.9662, decode.d2.loss_dice: 1.3520, decode.d3.loss_cls: 1.9313, decode.d3.loss_mask: 0.9698, decode.d3.loss_dice: 1.3360, decode.d4.loss_cls: 1.8786, decode.d4.loss_mask: 0.9704, decode.d4.loss_dice: 1.3425, decode.d5.loss_cls: 1.8518, decode.d5.loss_mask: 0.9714, decode.d5.loss_dice: 1.3367, decode.d6.loss_cls: 1.8205, decode.d6.loss_mask: 0.9739, decode.d6.loss_dice: 1.3321, decode.d7.loss_cls: 1.7990, decode.d7.loss_mask: 0.9695, decode.d7.loss_dice: 1.3436, decode.d8.loss_cls: 1.7823, decode.d8.loss_mask: 0.9735, decode.d8.loss_dice: 1.3387, loss: 48.0602 2022-06-21 14:36:27,305 - mmseg - INFO - Iter [5800/40000] lr: 1.317e-05, eta: 4:47:17, time: 0.532, data_time: 0.009, memory: 40943, decode.loss_cls: 1.7707, decode.loss_mask: 0.9451, decode.loss_dice: 1.3495, decode.d0.loss_cls: 7.2117, decode.d0.loss_mask: 0.9513, decode.d0.loss_dice: 1.5873, decode.d1.loss_cls: 2.3841, decode.d1.loss_mask: 0.9522, decode.d1.loss_dice: 1.4082, decode.d2.loss_cls: 2.0455, decode.d2.loss_mask: 0.9406, decode.d2.loss_dice: 1.3583, decode.d3.loss_cls: 1.9171, decode.d3.loss_mask: 0.9385, decode.d3.loss_dice: 1.3353, decode.d4.loss_cls: 1.8539, decode.d4.loss_mask: 0.9360, decode.d4.loss_dice: 1.3467, decode.d5.loss_cls: 1.8137, decode.d5.loss_mask: 0.9393, decode.d5.loss_dice: 1.3491, decode.d6.loss_cls: 1.7889, decode.d6.loss_mask: 0.9375, decode.d6.loss_dice: 1.3448, decode.d7.loss_cls: 1.7781, decode.d7.loss_mask: 0.9414, decode.d7.loss_dice: 1.3469, decode.d8.loss_cls: 1.7611, decode.d8.loss_mask: 0.9402, decode.d8.loss_dice: 1.3513, loss: 47.5244 2022-06-21 14:36:54,560 - mmseg - INFO - Iter [5850/40000] lr: 1.315e-05, eta: 4:47:04, time: 0.546, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8227, decode.loss_mask: 0.9434, decode.loss_dice: 1.3606, decode.d0.loss_cls: 7.1634, decode.d0.loss_mask: 0.9711, decode.d0.loss_dice: 1.6231, decode.d1.loss_cls: 2.4616, decode.d1.loss_mask: 0.9699, decode.d1.loss_dice: 1.4212, decode.d2.loss_cls: 2.0921, decode.d2.loss_mask: 0.9509, decode.d2.loss_dice: 1.3836, decode.d3.loss_cls: 1.9668, decode.d3.loss_mask: 0.9497, decode.d3.loss_dice: 1.3611, decode.d4.loss_cls: 1.9056, decode.d4.loss_mask: 0.9431, decode.d4.loss_dice: 1.3637, decode.d5.loss_cls: 1.8775, decode.d5.loss_mask: 0.9470, decode.d5.loss_dice: 1.3624, decode.d6.loss_cls: 1.8524, decode.d6.loss_mask: 0.9452, decode.d6.loss_dice: 1.3593, decode.d7.loss_cls: 1.8435, decode.d7.loss_mask: 0.9418, decode.d7.loss_dice: 1.3646, decode.d8.loss_cls: 1.8207, decode.d8.loss_mask: 0.9488, decode.d8.loss_dice: 1.3635, loss: 48.2802 2022-06-21 14:37:22,516 - mmseg - INFO - Iter [5900/40000] lr: 1.313e-05, eta: 4:46:55, time: 0.559, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8451, decode.loss_mask: 0.9601, decode.loss_dice: 1.3822, decode.d0.loss_cls: 7.1541, decode.d0.loss_mask: 0.9790, decode.d0.loss_dice: 1.6389, decode.d1.loss_cls: 2.4696, decode.d1.loss_mask: 0.9758, decode.d1.loss_dice: 1.4447, decode.d2.loss_cls: 2.0901, decode.d2.loss_mask: 0.9593, decode.d2.loss_dice: 1.3947, decode.d3.loss_cls: 1.9728, decode.d3.loss_mask: 0.9556, decode.d3.loss_dice: 1.3821, decode.d4.loss_cls: 1.9073, decode.d4.loss_mask: 0.9589, decode.d4.loss_dice: 1.3878, decode.d5.loss_cls: 1.8724, decode.d5.loss_mask: 0.9606, decode.d5.loss_dice: 1.3851, decode.d6.loss_cls: 1.8528, decode.d6.loss_mask: 0.9568, decode.d6.loss_dice: 1.3731, decode.d7.loss_cls: 1.8431, decode.d7.loss_mask: 0.9509, decode.d7.loss_dice: 1.3759, decode.d8.loss_cls: 1.8368, decode.d8.loss_mask: 0.9592, decode.d8.loss_dice: 1.3827, loss: 48.6076 2022-06-21 14:37:49,788 - mmseg - INFO - Iter [5950/40000] lr: 1.311e-05, eta: 4:46:41, time: 0.545, data_time: 0.009, memory: 40943, decode.loss_cls: 1.8415, decode.loss_mask: 0.9917, decode.loss_dice: 1.3942, decode.d0.loss_cls: 7.1101, decode.d0.loss_mask: 1.0207, decode.d0.loss_dice: 1.6422, decode.d1.loss_cls: 2.4807, decode.d1.loss_mask: 1.0137, decode.d1.loss_dice: 1.4508, decode.d2.loss_cls: 2.1090, decode.d2.loss_mask: 1.0034, decode.d2.loss_dice: 1.4068, decode.d3.loss_cls: 1.9777, decode.d3.loss_mask: 0.9970, decode.d3.loss_dice: 1.3874, decode.d4.loss_cls: 1.9194, decode.d4.loss_mask: 0.9981, decode.d4.loss_dice: 1.3943, decode.d5.loss_cls: 1.8877, decode.d5.loss_mask: 1.0025, decode.d5.loss_dice: 1.3992, decode.d6.loss_cls: 1.8610, decode.d6.loss_mask: 0.9991, decode.d6.loss_dice: 1.3889, decode.d7.loss_cls: 1.8486, decode.d7.loss_mask: 1.0023, decode.d7.loss_dice: 1.3943, decode.d8.loss_cls: 1.8354, decode.d8.loss_mask: 1.0000, decode.d8.loss_dice: 1.3916, loss: 49.1491 2022-06-21 14:38:15,123 - mmseg - INFO - Saving checkpoint at 6000 iterations 2022-06-21 14:38:20,902 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:38:20,902 - mmseg - INFO - Iter [6000/40000] lr: 1.309e-05, eta: 4:46:49, time: 0.622, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7921, decode.loss_mask: 0.9650, decode.loss_dice: 1.3677, decode.d0.loss_cls: 7.0449, decode.d0.loss_mask: 0.9862, decode.d0.loss_dice: 1.6034, decode.d1.loss_cls: 2.4133, decode.d1.loss_mask: 0.9833, decode.d1.loss_dice: 1.4113, decode.d2.loss_cls: 2.0428, decode.d2.loss_mask: 0.9708, decode.d2.loss_dice: 1.3771, decode.d3.loss_cls: 1.9204, decode.d3.loss_mask: 0.9600, decode.d3.loss_dice: 1.3518, decode.d4.loss_cls: 1.8667, decode.d4.loss_mask: 0.9613, decode.d4.loss_dice: 1.3731, decode.d5.loss_cls: 1.8314, decode.d5.loss_mask: 0.9637, decode.d5.loss_dice: 1.3606, decode.d6.loss_cls: 1.8082, decode.d6.loss_mask: 0.9654, decode.d6.loss_dice: 1.3570, decode.d7.loss_cls: 1.7982, decode.d7.loss_mask: 0.9686, decode.d7.loss_dice: 1.3598, decode.d8.loss_cls: 1.7921, decode.d8.loss_mask: 0.9646, decode.d8.loss_dice: 1.3626, loss: 47.9234 2022-06-21 14:38:46,360 - mmseg - INFO - Iter [6050/40000] lr: 1.307e-05, eta: 4:46:24, time: 0.509, data_time: 0.009, memory: 40943, decode.loss_cls: 1.7048, decode.loss_mask: 0.9626, decode.loss_dice: 1.3432, decode.d0.loss_cls: 6.9807, decode.d0.loss_mask: 0.9772, decode.d0.loss_dice: 1.5739, decode.d1.loss_cls: 2.3506, decode.d1.loss_mask: 0.9735, decode.d1.loss_dice: 1.3874, decode.d2.loss_cls: 1.9719, decode.d2.loss_mask: 0.9628, decode.d2.loss_dice: 1.3422, decode.d3.loss_cls: 1.8476, decode.d3.loss_mask: 0.9652, decode.d3.loss_dice: 1.3330, decode.d4.loss_cls: 1.7784, decode.d4.loss_mask: 0.9682, decode.d4.loss_dice: 1.3405, decode.d5.loss_cls: 1.7511, decode.d5.loss_mask: 0.9693, decode.d5.loss_dice: 1.3449, decode.d6.loss_cls: 1.7356, decode.d6.loss_mask: 0.9678, decode.d6.loss_dice: 1.3311, decode.d7.loss_cls: 1.7192, decode.d7.loss_mask: 0.9667, decode.d7.loss_dice: 1.3392, decode.d8.loss_cls: 1.6968, decode.d8.loss_mask: 0.9688, decode.d8.loss_dice: 1.3447, loss: 46.8988 2022-06-21 14:39:12,112 - mmseg - INFO - Iter [6100/40000] lr: 1.305e-05, eta: 4:46:02, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 1.8370, decode.loss_mask: 0.9946, decode.loss_dice: 1.3619, decode.d0.loss_cls: 7.0031, decode.d0.loss_mask: 1.0000, decode.d0.loss_dice: 1.6071, decode.d1.loss_cls: 2.4242, decode.d1.loss_mask: 1.0060, decode.d1.loss_dice: 1.4079, decode.d2.loss_cls: 2.0779, decode.d2.loss_mask: 0.9912, decode.d2.loss_dice: 1.3714, decode.d3.loss_cls: 1.9578, decode.d3.loss_mask: 0.9887, decode.d3.loss_dice: 1.3515, decode.d4.loss_cls: 1.8962, decode.d4.loss_mask: 0.9895, decode.d4.loss_dice: 1.3560, decode.d5.loss_cls: 1.8670, decode.d5.loss_mask: 0.9927, decode.d5.loss_dice: 1.3573, decode.d6.loss_cls: 1.8602, decode.d6.loss_mask: 0.9855, decode.d6.loss_dice: 1.3473, decode.d7.loss_cls: 1.8374, decode.d7.loss_mask: 0.9908, decode.d7.loss_dice: 1.3515, decode.d8.loss_cls: 1.8210, decode.d8.loss_mask: 0.9907, decode.d8.loss_dice: 1.3524, loss: 48.3759 2022-06-21 14:39:37,266 - mmseg - INFO - Iter [6150/40000] lr: 1.303e-05, eta: 4:45:35, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 1.7650, decode.loss_mask: 0.9750, decode.loss_dice: 1.3869, decode.d0.loss_cls: 6.9738, decode.d0.loss_mask: 0.9887, decode.d0.loss_dice: 1.6537, decode.d1.loss_cls: 2.4361, decode.d1.loss_mask: 0.9782, decode.d1.loss_dice: 1.4409, decode.d2.loss_cls: 2.0498, decode.d2.loss_mask: 0.9706, decode.d2.loss_dice: 1.3929, decode.d3.loss_cls: 1.9128, decode.d3.loss_mask: 0.9724, decode.d3.loss_dice: 1.3751, decode.d4.loss_cls: 1.8460, decode.d4.loss_mask: 0.9739, decode.d4.loss_dice: 1.3848, decode.d5.loss_cls: 1.8139, decode.d5.loss_mask: 0.9727, decode.d5.loss_dice: 1.3870, decode.d6.loss_cls: 1.8054, decode.d6.loss_mask: 0.9675, decode.d6.loss_dice: 1.3788, decode.d7.loss_cls: 1.7808, decode.d7.loss_mask: 0.9767, decode.d7.loss_dice: 1.3878, decode.d8.loss_cls: 1.7750, decode.d8.loss_mask: 0.9678, decode.d8.loss_dice: 1.3873, loss: 48.0773 2022-06-21 14:40:06,452 - mmseg - INFO - Iter [6200/40000] lr: 1.301e-05, eta: 4:45:31, time: 0.584, data_time: 0.058, memory: 40943, decode.loss_cls: 1.8071, decode.loss_mask: 0.9617, decode.loss_dice: 1.3793, decode.d0.loss_cls: 6.9164, decode.d0.loss_mask: 0.9807, decode.d0.loss_dice: 1.6256, decode.d1.loss_cls: 2.4067, decode.d1.loss_mask: 0.9771, decode.d1.loss_dice: 1.4298, decode.d2.loss_cls: 2.0577, decode.d2.loss_mask: 0.9496, decode.d2.loss_dice: 1.3818, decode.d3.loss_cls: 1.9417, decode.d3.loss_mask: 0.9563, decode.d3.loss_dice: 1.3691, decode.d4.loss_cls: 1.8872, decode.d4.loss_mask: 0.9591, decode.d4.loss_dice: 1.3814, decode.d5.loss_cls: 1.8530, decode.d5.loss_mask: 0.9616, decode.d5.loss_dice: 1.3840, decode.d6.loss_cls: 1.8251, decode.d6.loss_mask: 0.9564, decode.d6.loss_dice: 1.3699, decode.d7.loss_cls: 1.8173, decode.d7.loss_mask: 0.9585, decode.d7.loss_dice: 1.3814, decode.d8.loss_cls: 1.8044, decode.d8.loss_mask: 0.9614, decode.d8.loss_dice: 1.3787, loss: 48.0200 2022-06-21 14:40:31,708 - mmseg - INFO - Iter [6250/40000] lr: 1.299e-05, eta: 4:45:05, time: 0.505, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7612, decode.loss_mask: 0.9396, decode.loss_dice: 1.3418, decode.d0.loss_cls: 6.8683, decode.d0.loss_mask: 0.9591, decode.d0.loss_dice: 1.5659, decode.d1.loss_cls: 2.3782, decode.d1.loss_mask: 0.9405, decode.d1.loss_dice: 1.3836, decode.d2.loss_cls: 2.0122, decode.d2.loss_mask: 0.9341, decode.d2.loss_dice: 1.3442, decode.d3.loss_cls: 1.8898, decode.d3.loss_mask: 0.9347, decode.d3.loss_dice: 1.3253, decode.d4.loss_cls: 1.8285, decode.d4.loss_mask: 0.9343, decode.d4.loss_dice: 1.3415, decode.d5.loss_cls: 1.7996, decode.d5.loss_mask: 0.9342, decode.d5.loss_dice: 1.3349, decode.d6.loss_cls: 1.7683, decode.d6.loss_mask: 0.9366, decode.d6.loss_dice: 1.3332, decode.d7.loss_cls: 1.7683, decode.d7.loss_mask: 0.9380, decode.d7.loss_dice: 1.3390, decode.d8.loss_cls: 1.7572, decode.d8.loss_mask: 0.9375, decode.d8.loss_dice: 1.3368, loss: 46.8665 2022-06-21 14:40:55,882 - mmseg - INFO - Iter [6300/40000] lr: 1.298e-05, eta: 4:44:34, time: 0.484, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7103, decode.loss_mask: 0.9448, decode.loss_dice: 1.3058, decode.d0.loss_cls: 6.8223, decode.d0.loss_mask: 0.9768, decode.d0.loss_dice: 1.5558, decode.d1.loss_cls: 2.3280, decode.d1.loss_mask: 0.9688, decode.d1.loss_dice: 1.3606, decode.d2.loss_cls: 1.9519, decode.d2.loss_mask: 0.9515, decode.d2.loss_dice: 1.3195, decode.d3.loss_cls: 1.8258, decode.d3.loss_mask: 0.9462, decode.d3.loss_dice: 1.3010, decode.d4.loss_cls: 1.7740, decode.d4.loss_mask: 0.9491, decode.d4.loss_dice: 1.3127, decode.d5.loss_cls: 1.7261, decode.d5.loss_mask: 0.9514, decode.d5.loss_dice: 1.3087, decode.d6.loss_cls: 1.7145, decode.d6.loss_mask: 0.9556, decode.d6.loss_dice: 1.3009, decode.d7.loss_cls: 1.7084, decode.d7.loss_mask: 0.9511, decode.d7.loss_dice: 1.3027, decode.d8.loss_cls: 1.7063, decode.d8.loss_mask: 0.9485, decode.d8.loss_dice: 1.3091, loss: 46.1883 2022-06-21 14:41:20,919 - mmseg - INFO - Iter [6350/40000] lr: 1.296e-05, eta: 4:44:07, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 1.7556, decode.loss_mask: 0.9499, decode.loss_dice: 1.3582, decode.d0.loss_cls: 6.7839, decode.d0.loss_mask: 0.9671, decode.d0.loss_dice: 1.6103, decode.d1.loss_cls: 2.3612, decode.d1.loss_mask: 0.9723, decode.d1.loss_dice: 1.4153, decode.d2.loss_cls: 1.9964, decode.d2.loss_mask: 0.9489, decode.d2.loss_dice: 1.3652, decode.d3.loss_cls: 1.8793, decode.d3.loss_mask: 0.9472, decode.d3.loss_dice: 1.3414, decode.d4.loss_cls: 1.8332, decode.d4.loss_mask: 0.9450, decode.d4.loss_dice: 1.3469, decode.d5.loss_cls: 1.7974, decode.d5.loss_mask: 0.9433, decode.d5.loss_dice: 1.3509, decode.d6.loss_cls: 1.7719, decode.d6.loss_mask: 0.9462, decode.d6.loss_dice: 1.3473, decode.d7.loss_cls: 1.7595, decode.d7.loss_mask: 0.9434, decode.d7.loss_dice: 1.3549, decode.d8.loss_cls: 1.7496, decode.d8.loss_mask: 0.9496, decode.d8.loss_dice: 1.3652, loss: 47.0566 2022-06-21 14:41:45,782 - mmseg - INFO - Iter [6400/40000] lr: 1.294e-05, eta: 4:43:39, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 1.6940, decode.loss_mask: 0.9560, decode.loss_dice: 1.3449, decode.d0.loss_cls: 6.7134, decode.d0.loss_mask: 0.9719, decode.d0.loss_dice: 1.5698, decode.d1.loss_cls: 2.2794, decode.d1.loss_mask: 0.9590, decode.d1.loss_dice: 1.3818, decode.d2.loss_cls: 1.9159, decode.d2.loss_mask: 0.9587, decode.d2.loss_dice: 1.3458, decode.d3.loss_cls: 1.8035, decode.d3.loss_mask: 0.9602, decode.d3.loss_dice: 1.3315, decode.d4.loss_cls: 1.7529, decode.d4.loss_mask: 0.9550, decode.d4.loss_dice: 1.3430, decode.d5.loss_cls: 1.7271, decode.d5.loss_mask: 0.9596, decode.d5.loss_dice: 1.3456, decode.d6.loss_cls: 1.7074, decode.d6.loss_mask: 0.9539, decode.d6.loss_dice: 1.3317, decode.d7.loss_cls: 1.7007, decode.d7.loss_mask: 0.9481, decode.d7.loss_dice: 1.3366, decode.d8.loss_cls: 1.6857, decode.d8.loss_mask: 0.9550, decode.d8.loss_dice: 1.3397, loss: 46.2280 2022-06-21 14:42:10,596 - mmseg - INFO - Iter [6450/40000] lr: 1.292e-05, eta: 4:43:11, time: 0.496, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7381, decode.loss_mask: 0.9511, decode.loss_dice: 1.3954, decode.d0.loss_cls: 6.7220, decode.d0.loss_mask: 0.9620, decode.d0.loss_dice: 1.6203, decode.d1.loss_cls: 2.3745, decode.d1.loss_mask: 0.9556, decode.d1.loss_dice: 1.4451, decode.d2.loss_cls: 2.0000, decode.d2.loss_mask: 0.9508, decode.d2.loss_dice: 1.4082, decode.d3.loss_cls: 1.8789, decode.d3.loss_mask: 0.9549, decode.d3.loss_dice: 1.3866, decode.d4.loss_cls: 1.8198, decode.d4.loss_mask: 0.9513, decode.d4.loss_dice: 1.3913, decode.d5.loss_cls: 1.7783, decode.d5.loss_mask: 0.9480, decode.d5.loss_dice: 1.3928, decode.d6.loss_cls: 1.7637, decode.d6.loss_mask: 0.9527, decode.d6.loss_dice: 1.3823, decode.d7.loss_cls: 1.7483, decode.d7.loss_mask: 0.9528, decode.d7.loss_dice: 1.3893, decode.d8.loss_cls: 1.7291, decode.d8.loss_mask: 0.9564, decode.d8.loss_dice: 1.3926, loss: 47.2921 2022-06-21 14:42:34,962 - mmseg - INFO - Iter [6500/40000] lr: 1.290e-05, eta: 4:42:41, time: 0.487, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6347, decode.loss_mask: 0.9764, decode.loss_dice: 1.3560, decode.d0.loss_cls: 6.6373, decode.d0.loss_mask: 0.9920, decode.d0.loss_dice: 1.5872, decode.d1.loss_cls: 2.2308, decode.d1.loss_mask: 0.9906, decode.d1.loss_dice: 1.4140, decode.d2.loss_cls: 1.8733, decode.d2.loss_mask: 0.9764, decode.d2.loss_dice: 1.3742, decode.d3.loss_cls: 1.7753, decode.d3.loss_mask: 0.9741, decode.d3.loss_dice: 1.3492, decode.d4.loss_cls: 1.7088, decode.d4.loss_mask: 0.9783, decode.d4.loss_dice: 1.3541, decode.d5.loss_cls: 1.6698, decode.d5.loss_mask: 0.9805, decode.d5.loss_dice: 1.3611, decode.d6.loss_cls: 1.6578, decode.d6.loss_mask: 0.9782, decode.d6.loss_dice: 1.3512, decode.d7.loss_cls: 1.6413, decode.d7.loss_mask: 0.9782, decode.d7.loss_dice: 1.3608, decode.d8.loss_cls: 1.6294, decode.d8.loss_mask: 0.9794, decode.d8.loss_dice: 1.3599, loss: 46.1301 2022-06-21 14:43:00,001 - mmseg - INFO - Iter [6550/40000] lr: 1.288e-05, eta: 4:42:14, time: 0.501, data_time: 0.011, memory: 40943, decode.loss_cls: 1.6894, decode.loss_mask: 0.9796, decode.loss_dice: 1.3465, decode.d0.loss_cls: 6.6163, decode.d0.loss_mask: 0.9845, decode.d0.loss_dice: 1.5732, decode.d1.loss_cls: 2.2839, decode.d1.loss_mask: 1.0015, decode.d1.loss_dice: 1.3968, decode.d2.loss_cls: 1.9373, decode.d2.loss_mask: 0.9827, decode.d2.loss_dice: 1.3580, decode.d3.loss_cls: 1.8270, decode.d3.loss_mask: 0.9811, decode.d3.loss_dice: 1.3409, decode.d4.loss_cls: 1.7772, decode.d4.loss_mask: 0.9770, decode.d4.loss_dice: 1.3440, decode.d5.loss_cls: 1.7421, decode.d5.loss_mask: 0.9787, decode.d5.loss_dice: 1.3442, decode.d6.loss_cls: 1.7177, decode.d6.loss_mask: 0.9791, decode.d6.loss_dice: 1.3407, decode.d7.loss_cls: 1.7006, decode.d7.loss_mask: 0.9811, decode.d7.loss_dice: 1.3480, decode.d8.loss_cls: 1.6866, decode.d8.loss_mask: 0.9856, decode.d8.loss_dice: 1.3526, loss: 46.5535 2022-06-21 14:43:24,724 - mmseg - INFO - Iter [6600/40000] lr: 1.286e-05, eta: 4:41:46, time: 0.494, data_time: 0.010, memory: 40943, decode.loss_cls: 1.7207, decode.loss_mask: 0.9803, decode.loss_dice: 1.3732, decode.d0.loss_cls: 6.5617, decode.d0.loss_mask: 0.9884, decode.d0.loss_dice: 1.6157, decode.d1.loss_cls: 2.3204, decode.d1.loss_mask: 0.9911, decode.d1.loss_dice: 1.4271, decode.d2.loss_cls: 1.9735, decode.d2.loss_mask: 0.9757, decode.d2.loss_dice: 1.3924, decode.d3.loss_cls: 1.8483, decode.d3.loss_mask: 0.9730, decode.d3.loss_dice: 1.3844, decode.d4.loss_cls: 1.7864, decode.d4.loss_mask: 0.9734, decode.d4.loss_dice: 1.3844, decode.d5.loss_cls: 1.7487, decode.d5.loss_mask: 0.9733, decode.d5.loss_dice: 1.3768, decode.d6.loss_cls: 1.7409, decode.d6.loss_mask: 0.9758, decode.d6.loss_dice: 1.3746, decode.d7.loss_cls: 1.7223, decode.d7.loss_mask: 0.9750, decode.d7.loss_dice: 1.3788, decode.d8.loss_cls: 1.7185, decode.d8.loss_mask: 0.9813, decode.d8.loss_dice: 1.3729, loss: 47.0090 2022-06-21 14:43:49,711 - mmseg - INFO - Iter [6650/40000] lr: 1.284e-05, eta: 4:41:19, time: 0.499, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6776, decode.loss_mask: 0.9591, decode.loss_dice: 1.3562, decode.d0.loss_cls: 6.5001, decode.d0.loss_mask: 0.9713, decode.d0.loss_dice: 1.5721, decode.d1.loss_cls: 2.2631, decode.d1.loss_mask: 0.9748, decode.d1.loss_dice: 1.4063, decode.d2.loss_cls: 1.9002, decode.d2.loss_mask: 0.9648, decode.d2.loss_dice: 1.3548, decode.d3.loss_cls: 1.8037, decode.d3.loss_mask: 0.9606, decode.d3.loss_dice: 1.3342, decode.d4.loss_cls: 1.7466, decode.d4.loss_mask: 0.9586, decode.d4.loss_dice: 1.3484, decode.d5.loss_cls: 1.7096, decode.d5.loss_mask: 0.9608, decode.d5.loss_dice: 1.3536, decode.d6.loss_cls: 1.6986, decode.d6.loss_mask: 0.9544, decode.d6.loss_dice: 1.3483, decode.d7.loss_cls: 1.6880, decode.d7.loss_mask: 0.9577, decode.d7.loss_dice: 1.3465, decode.d8.loss_cls: 1.6779, decode.d8.loss_mask: 0.9547, decode.d8.loss_dice: 1.3561, loss: 46.0588 2022-06-21 14:44:14,586 - mmseg - INFO - Iter [6700/40000] lr: 1.282e-05, eta: 4:40:51, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 1.6598, decode.loss_mask: 0.9360, decode.loss_dice: 1.3512, decode.d0.loss_cls: 6.4668, decode.d0.loss_mask: 0.9464, decode.d0.loss_dice: 1.5952, decode.d1.loss_cls: 2.2325, decode.d1.loss_mask: 0.9422, decode.d1.loss_dice: 1.4037, decode.d2.loss_cls: 1.8846, decode.d2.loss_mask: 0.9352, decode.d2.loss_dice: 1.3622, decode.d3.loss_cls: 1.7681, decode.d3.loss_mask: 0.9368, decode.d3.loss_dice: 1.3423, decode.d4.loss_cls: 1.7229, decode.d4.loss_mask: 0.9313, decode.d4.loss_dice: 1.3433, decode.d5.loss_cls: 1.6922, decode.d5.loss_mask: 0.9304, decode.d5.loss_dice: 1.3501, decode.d6.loss_cls: 1.6737, decode.d6.loss_mask: 0.9327, decode.d6.loss_dice: 1.3461, decode.d7.loss_cls: 1.6567, decode.d7.loss_mask: 0.9352, decode.d7.loss_dice: 1.3514, decode.d8.loss_cls: 1.6535, decode.d8.loss_mask: 0.9333, decode.d8.loss_dice: 1.3527, loss: 45.5687 2022-06-21 14:44:41,480 - mmseg - INFO - Iter [6750/40000] lr: 1.280e-05, eta: 4:40:34, time: 0.538, data_time: 0.058, memory: 40943, decode.loss_cls: 1.7029, decode.loss_mask: 0.9333, decode.loss_dice: 1.3351, decode.d0.loss_cls: 6.4399, decode.d0.loss_mask: 0.9516, decode.d0.loss_dice: 1.5894, decode.d1.loss_cls: 2.3117, decode.d1.loss_mask: 0.9568, decode.d1.loss_dice: 1.4098, decode.d2.loss_cls: 1.9507, decode.d2.loss_mask: 0.9329, decode.d2.loss_dice: 1.3593, decode.d3.loss_cls: 1.8545, decode.d3.loss_mask: 0.9330, decode.d3.loss_dice: 1.3383, decode.d4.loss_cls: 1.7898, decode.d4.loss_mask: 0.9315, decode.d4.loss_dice: 1.3480, decode.d5.loss_cls: 1.7527, decode.d5.loss_mask: 0.9278, decode.d5.loss_dice: 1.3453, decode.d6.loss_cls: 1.7382, decode.d6.loss_mask: 0.9378, decode.d6.loss_dice: 1.3382, decode.d7.loss_cls: 1.7271, decode.d7.loss_mask: 0.9392, decode.d7.loss_dice: 1.3370, decode.d8.loss_cls: 1.7093, decode.d8.loss_mask: 0.9382, decode.d8.loss_dice: 1.3406, loss: 46.0999 2022-06-21 14:45:06,368 - mmseg - INFO - Iter [6800/40000] lr: 1.278e-05, eta: 4:40:07, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 1.6600, decode.loss_mask: 0.9016, decode.loss_dice: 1.3522, decode.d0.loss_cls: 6.4171, decode.d0.loss_mask: 0.9177, decode.d0.loss_dice: 1.5812, decode.d1.loss_cls: 2.2603, decode.d1.loss_mask: 0.9216, decode.d1.loss_dice: 1.4039, decode.d2.loss_cls: 1.9046, decode.d2.loss_mask: 0.9066, decode.d2.loss_dice: 1.3613, decode.d3.loss_cls: 1.7884, decode.d3.loss_mask: 0.9077, decode.d3.loss_dice: 1.3417, decode.d4.loss_cls: 1.7332, decode.d4.loss_mask: 0.9020, decode.d4.loss_dice: 1.3439, decode.d5.loss_cls: 1.6979, decode.d5.loss_mask: 0.9037, decode.d5.loss_dice: 1.3507, decode.d6.loss_cls: 1.6722, decode.d6.loss_mask: 0.9040, decode.d6.loss_dice: 1.3480, decode.d7.loss_cls: 1.6769, decode.d7.loss_mask: 0.9044, decode.d7.loss_dice: 1.3452, decode.d8.loss_cls: 1.6560, decode.d8.loss_mask: 0.9025, decode.d8.loss_dice: 1.3506, loss: 45.3170 2022-06-21 14:45:30,598 - mmseg - INFO - Iter [6850/40000] lr: 1.276e-05, eta: 4:39:36, time: 0.485, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6528, decode.loss_mask: 0.9372, decode.loss_dice: 1.3308, decode.d0.loss_cls: 6.3655, decode.d0.loss_mask: 0.9516, decode.d0.loss_dice: 1.5663, decode.d1.loss_cls: 2.2304, decode.d1.loss_mask: 0.9653, decode.d1.loss_dice: 1.3943, decode.d2.loss_cls: 1.8871, decode.d2.loss_mask: 0.9447, decode.d2.loss_dice: 1.3419, decode.d3.loss_cls: 1.7819, decode.d3.loss_mask: 0.9445, decode.d3.loss_dice: 1.3313, decode.d4.loss_cls: 1.7277, decode.d4.loss_mask: 0.9438, decode.d4.loss_dice: 1.3283, decode.d5.loss_cls: 1.6946, decode.d5.loss_mask: 0.9459, decode.d5.loss_dice: 1.3334, decode.d6.loss_cls: 1.6748, decode.d6.loss_mask: 0.9470, decode.d6.loss_dice: 1.3269, decode.d7.loss_cls: 1.6668, decode.d7.loss_mask: 0.9384, decode.d7.loss_dice: 1.3257, decode.d8.loss_cls: 1.6584, decode.d8.loss_mask: 0.9352, decode.d8.loss_dice: 1.3287, loss: 45.4015 2022-06-21 14:45:55,243 - mmseg - INFO - Iter [6900/40000] lr: 1.274e-05, eta: 4:39:08, time: 0.493, data_time: 0.011, memory: 40943, decode.loss_cls: 1.6483, decode.loss_mask: 0.9494, decode.loss_dice: 1.3041, decode.d0.loss_cls: 6.3309, decode.d0.loss_mask: 0.9684, decode.d0.loss_dice: 1.5532, decode.d1.loss_cls: 2.2483, decode.d1.loss_mask: 0.9675, decode.d1.loss_dice: 1.3674, decode.d2.loss_cls: 1.8990, decode.d2.loss_mask: 0.9517, decode.d2.loss_dice: 1.3198, decode.d3.loss_cls: 1.7773, decode.d3.loss_mask: 0.9508, decode.d3.loss_dice: 1.3006, decode.d4.loss_cls: 1.7273, decode.d4.loss_mask: 0.9491, decode.d4.loss_dice: 1.3031, decode.d5.loss_cls: 1.6940, decode.d5.loss_mask: 0.9441, decode.d5.loss_dice: 1.3073, decode.d6.loss_cls: 1.6749, decode.d6.loss_mask: 0.9440, decode.d6.loss_dice: 1.3053, decode.d7.loss_cls: 1.6665, decode.d7.loss_mask: 0.9458, decode.d7.loss_dice: 1.2995, decode.d8.loss_cls: 1.6520, decode.d8.loss_mask: 0.9522, decode.d8.loss_dice: 1.3118, loss: 45.2133 2022-06-21 14:46:25,471 - mmseg - INFO - Iter [6950/40000] lr: 1.272e-05, eta: 4:39:05, time: 0.601, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6651, decode.loss_mask: 0.9084, decode.loss_dice: 1.3370, decode.d0.loss_cls: 6.3076, decode.d0.loss_mask: 0.9260, decode.d0.loss_dice: 1.5598, decode.d1.loss_cls: 2.2466, decode.d1.loss_mask: 0.9187, decode.d1.loss_dice: 1.3797, decode.d2.loss_cls: 1.8998, decode.d2.loss_mask: 0.9176, decode.d2.loss_dice: 1.3371, decode.d3.loss_cls: 1.7860, decode.d3.loss_mask: 0.9057, decode.d3.loss_dice: 1.3273, decode.d4.loss_cls: 1.7305, decode.d4.loss_mask: 0.9103, decode.d4.loss_dice: 1.3294, decode.d5.loss_cls: 1.7005, decode.d5.loss_mask: 0.9117, decode.d5.loss_dice: 1.3307, decode.d6.loss_cls: 1.6772, decode.d6.loss_mask: 0.9105, decode.d6.loss_dice: 1.3340, decode.d7.loss_cls: 1.6603, decode.d7.loss_mask: 0.9065, decode.d7.loss_dice: 1.3367, decode.d8.loss_cls: 1.6595, decode.d8.loss_mask: 0.9071, decode.d8.loss_dice: 1.3345, loss: 45.0618 2022-06-21 14:46:59,915 - mmseg - INFO - Saving checkpoint at 7000 iterations 2022-06-21 14:47:06,976 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:47:06,976 - mmseg - INFO - Iter [7000/40000] lr: 1.271e-05, eta: 4:39:57, time: 0.833, data_time: 0.014, memory: 40943, decode.loss_cls: 1.6523, decode.loss_mask: 0.9439, decode.loss_dice: 1.3188, decode.d0.loss_cls: 6.2723, decode.d0.loss_mask: 0.9657, decode.d0.loss_dice: 1.5574, decode.d1.loss_cls: 2.2412, decode.d1.loss_mask: 0.9580, decode.d1.loss_dice: 1.3805, decode.d2.loss_cls: 1.8950, decode.d2.loss_mask: 0.9402, decode.d2.loss_dice: 1.3296, decode.d3.loss_cls: 1.7813, decode.d3.loss_mask: 0.9356, decode.d3.loss_dice: 1.3129, decode.d4.loss_cls: 1.7299, decode.d4.loss_mask: 0.9416, decode.d4.loss_dice: 1.3242, decode.d5.loss_cls: 1.7078, decode.d5.loss_mask: 0.9455, decode.d5.loss_dice: 1.3253, decode.d6.loss_cls: 1.6892, decode.d6.loss_mask: 0.9452, decode.d6.loss_dice: 1.3156, decode.d7.loss_cls: 1.6710, decode.d7.loss_mask: 0.9443, decode.d7.loss_dice: 1.3233, decode.d8.loss_cls: 1.6585, decode.d8.loss_mask: 0.9461, decode.d8.loss_dice: 1.3240, loss: 45.2761 2022-06-21 14:47:56,085 - mmseg - INFO - Iter [7050/40000] lr: 1.269e-05, eta: 4:41:22, time: 0.981, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6921, decode.loss_mask: 0.9467, decode.loss_dice: 1.3589, decode.d0.loss_cls: 6.2506, decode.d0.loss_mask: 0.9588, decode.d0.loss_dice: 1.5965, decode.d1.loss_cls: 2.2895, decode.d1.loss_mask: 0.9624, decode.d1.loss_dice: 1.4069, decode.d2.loss_cls: 1.9278, decode.d2.loss_mask: 0.9461, decode.d2.loss_dice: 1.3593, decode.d3.loss_cls: 1.8150, decode.d3.loss_mask: 0.9424, decode.d3.loss_dice: 1.3546, decode.d4.loss_cls: 1.7693, decode.d4.loss_mask: 0.9478, decode.d4.loss_dice: 1.3556, decode.d5.loss_cls: 1.7402, decode.d5.loss_mask: 0.9428, decode.d5.loss_dice: 1.3600, decode.d6.loss_cls: 1.7145, decode.d6.loss_mask: 0.9504, decode.d6.loss_dice: 1.3444, decode.d7.loss_cls: 1.7012, decode.d7.loss_mask: 0.9506, decode.d7.loss_dice: 1.3503, decode.d8.loss_cls: 1.6848, decode.d8.loss_mask: 0.9534, decode.d8.loss_dice: 1.3599, loss: 45.9329 2022-06-21 14:48:37,925 - mmseg - INFO - Iter [7100/40000] lr: 1.267e-05, eta: 4:42:11, time: 0.836, data_time: 0.012, memory: 40943, decode.loss_cls: 1.5683, decode.loss_mask: 0.9369, decode.loss_dice: 1.2978, decode.d0.loss_cls: 6.1349, decode.d0.loss_mask: 0.9538, decode.d0.loss_dice: 1.5317, decode.d1.loss_cls: 2.1135, decode.d1.loss_mask: 0.9495, decode.d1.loss_dice: 1.3549, decode.d2.loss_cls: 1.7848, decode.d2.loss_mask: 0.9335, decode.d2.loss_dice: 1.3045, decode.d3.loss_cls: 1.6764, decode.d3.loss_mask: 0.9385, decode.d3.loss_dice: 1.2869, decode.d4.loss_cls: 1.6302, decode.d4.loss_mask: 0.9341, decode.d4.loss_dice: 1.2993, decode.d5.loss_cls: 1.6001, decode.d5.loss_mask: 0.9319, decode.d5.loss_dice: 1.2991, decode.d6.loss_cls: 1.5792, decode.d6.loss_mask: 0.9329, decode.d6.loss_dice: 1.2952, decode.d7.loss_cls: 1.5701, decode.d7.loss_mask: 0.9362, decode.d7.loss_dice: 1.2946, decode.d8.loss_cls: 1.5674, decode.d8.loss_mask: 0.9415, decode.d8.loss_dice: 1.2930, loss: 43.8708 2022-06-21 14:49:15,742 - mmseg - INFO - Iter [7150/40000] lr: 1.265e-05, eta: 4:42:41, time: 0.757, data_time: 0.012, memory: 40943, decode.loss_cls: 1.6441, decode.loss_mask: 0.9645, decode.loss_dice: 1.3615, decode.d0.loss_cls: 6.1407, decode.d0.loss_mask: 0.9832, decode.d0.loss_dice: 1.5890, decode.d1.loss_cls: 2.2002, decode.d1.loss_mask: 0.9847, decode.d1.loss_dice: 1.4279, decode.d2.loss_cls: 1.8539, decode.d2.loss_mask: 0.9695, decode.d2.loss_dice: 1.3811, decode.d3.loss_cls: 1.7511, decode.d3.loss_mask: 0.9713, decode.d3.loss_dice: 1.3588, decode.d4.loss_cls: 1.7071, decode.d4.loss_mask: 0.9627, decode.d4.loss_dice: 1.3664, decode.d5.loss_cls: 1.6903, decode.d5.loss_mask: 0.9657, decode.d5.loss_dice: 1.3624, decode.d6.loss_cls: 1.6604, decode.d6.loss_mask: 0.9670, decode.d6.loss_dice: 1.3587, decode.d7.loss_cls: 1.6521, decode.d7.loss_mask: 0.9643, decode.d7.loss_dice: 1.3655, decode.d8.loss_cls: 1.6472, decode.d8.loss_mask: 0.9637, decode.d8.loss_dice: 1.3556, loss: 45.5707 2022-06-21 14:50:04,876 - mmseg - INFO - Iter [7200/40000] lr: 1.263e-05, eta: 4:44:01, time: 0.983, data_time: 0.012, memory: 40943, decode.loss_cls: 1.5967, decode.loss_mask: 0.9393, decode.loss_dice: 1.3387, decode.d0.loss_cls: 6.0788, decode.d0.loss_mask: 0.9569, decode.d0.loss_dice: 1.5770, decode.d1.loss_cls: 2.1668, decode.d1.loss_mask: 0.9583, decode.d1.loss_dice: 1.4019, decode.d2.loss_cls: 1.8241, decode.d2.loss_mask: 0.9385, decode.d2.loss_dice: 1.3484, decode.d3.loss_cls: 1.7199, decode.d3.loss_mask: 0.9347, decode.d3.loss_dice: 1.3231, decode.d4.loss_cls: 1.6650, decode.d4.loss_mask: 0.9342, decode.d4.loss_dice: 1.3325, decode.d5.loss_cls: 1.6411, decode.d5.loss_mask: 0.9415, decode.d5.loss_dice: 1.3406, decode.d6.loss_cls: 1.6212, decode.d6.loss_mask: 0.9407, decode.d6.loss_dice: 1.3328, decode.d7.loss_cls: 1.6067, decode.d7.loss_mask: 0.9414, decode.d7.loss_dice: 1.3402, decode.d8.loss_cls: 1.5996, decode.d8.loss_mask: 0.9394, decode.d8.loss_dice: 1.3417, loss: 44.6219 2022-06-21 14:50:48,853 - mmseg - INFO - Iter [7250/40000] lr: 1.261e-05, eta: 4:44:57, time: 0.879, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5947, decode.loss_mask: 0.9688, decode.loss_dice: 1.3324, decode.d0.loss_cls: 6.0387, decode.d0.loss_mask: 0.9982, decode.d0.loss_dice: 1.5543, decode.d1.loss_cls: 2.1448, decode.d1.loss_mask: 0.9907, decode.d1.loss_dice: 1.3826, decode.d2.loss_cls: 1.8127, decode.d2.loss_mask: 0.9705, decode.d2.loss_dice: 1.3322, decode.d3.loss_cls: 1.7006, decode.d3.loss_mask: 0.9785, decode.d3.loss_dice: 1.3214, decode.d4.loss_cls: 1.6479, decode.d4.loss_mask: 0.9730, decode.d4.loss_dice: 1.3287, decode.d5.loss_cls: 1.6188, decode.d5.loss_mask: 0.9703, decode.d5.loss_dice: 1.3291, decode.d6.loss_cls: 1.6009, decode.d6.loss_mask: 0.9732, decode.d6.loss_dice: 1.3224, decode.d7.loss_cls: 1.5889, decode.d7.loss_mask: 0.9781, decode.d7.loss_dice: 1.3279, decode.d8.loss_cls: 1.5813, decode.d8.loss_mask: 0.9758, decode.d8.loss_dice: 1.3277, loss: 44.6651 2022-06-21 14:51:15,023 - mmseg - INFO - Iter [7300/40000] lr: 1.259e-05, eta: 4:44:31, time: 0.524, data_time: 0.011, memory: 40943, decode.loss_cls: 1.6351, decode.loss_mask: 0.9151, decode.loss_dice: 1.2965, decode.d0.loss_cls: 6.0094, decode.d0.loss_mask: 0.9327, decode.d0.loss_dice: 1.5509, decode.d1.loss_cls: 2.1629, decode.d1.loss_mask: 0.9322, decode.d1.loss_dice: 1.3619, decode.d2.loss_cls: 1.8399, decode.d2.loss_mask: 0.9180, decode.d2.loss_dice: 1.3206, decode.d3.loss_cls: 1.7413, decode.d3.loss_mask: 0.9160, decode.d3.loss_dice: 1.3065, decode.d4.loss_cls: 1.6910, decode.d4.loss_mask: 0.9190, decode.d4.loss_dice: 1.3130, decode.d5.loss_cls: 1.6762, decode.d5.loss_mask: 0.9129, decode.d5.loss_dice: 1.3119, decode.d6.loss_cls: 1.6551, decode.d6.loss_mask: 0.9138, decode.d6.loss_dice: 1.3077, decode.d7.loss_cls: 1.6339, decode.d7.loss_mask: 0.9085, decode.d7.loss_dice: 1.3083, decode.d8.loss_cls: 1.6326, decode.d8.loss_mask: 0.9123, decode.d8.loss_dice: 1.3121, loss: 44.2473 2022-06-21 14:51:42,121 - mmseg - INFO - Iter [7350/40000] lr: 1.257e-05, eta: 4:44:09, time: 0.542, data_time: 0.059, memory: 40943, decode.loss_cls: 1.6654, decode.loss_mask: 0.9150, decode.loss_dice: 1.3811, decode.d0.loss_cls: 6.0117, decode.d0.loss_mask: 0.9336, decode.d0.loss_dice: 1.6089, decode.d1.loss_cls: 2.2067, decode.d1.loss_mask: 0.9346, decode.d1.loss_dice: 1.4447, decode.d2.loss_cls: 1.8791, decode.d2.loss_mask: 0.9166, decode.d2.loss_dice: 1.3928, decode.d3.loss_cls: 1.7739, decode.d3.loss_mask: 0.9103, decode.d3.loss_dice: 1.3762, decode.d4.loss_cls: 1.7180, decode.d4.loss_mask: 0.9160, decode.d4.loss_dice: 1.3880, decode.d5.loss_cls: 1.6987, decode.d5.loss_mask: 0.9113, decode.d5.loss_dice: 1.3852, decode.d6.loss_cls: 1.6722, decode.d6.loss_mask: 0.9176, decode.d6.loss_dice: 1.3763, decode.d7.loss_cls: 1.6647, decode.d7.loss_mask: 0.9134, decode.d7.loss_dice: 1.3805, decode.d8.loss_cls: 1.6635, decode.d8.loss_mask: 0.9162, decode.d8.loss_dice: 1.3745, loss: 45.2465 2022-06-21 14:52:06,150 - mmseg - INFO - Iter [7400/40000] lr: 1.255e-05, eta: 4:43:34, time: 0.480, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6547, decode.loss_mask: 0.9321, decode.loss_dice: 1.3444, decode.d0.loss_cls: 5.9625, decode.d0.loss_mask: 0.9627, decode.d0.loss_dice: 1.5832, decode.d1.loss_cls: 2.2015, decode.d1.loss_mask: 0.9430, decode.d1.loss_dice: 1.4061, decode.d2.loss_cls: 1.8703, decode.d2.loss_mask: 0.9381, decode.d2.loss_dice: 1.3582, decode.d3.loss_cls: 1.7666, decode.d3.loss_mask: 0.9342, decode.d3.loss_dice: 1.3445, decode.d4.loss_cls: 1.7228, decode.d4.loss_mask: 0.9326, decode.d4.loss_dice: 1.3498, decode.d5.loss_cls: 1.6926, decode.d5.loss_mask: 0.9289, decode.d5.loss_dice: 1.3485, decode.d6.loss_cls: 1.6651, decode.d6.loss_mask: 0.9285, decode.d6.loss_dice: 1.3417, decode.d7.loss_cls: 1.6618, decode.d7.loss_mask: 0.9335, decode.d7.loss_dice: 1.3448, decode.d8.loss_cls: 1.6453, decode.d8.loss_mask: 0.9328, decode.d8.loss_dice: 1.3424, loss: 44.9734 2022-06-21 14:52:30,311 - mmseg - INFO - Iter [7450/40000] lr: 1.253e-05, eta: 4:42:59, time: 0.483, data_time: 0.009, memory: 40943, decode.loss_cls: 1.5098, decode.loss_mask: 0.9551, decode.loss_dice: 1.3153, decode.d0.loss_cls: 5.8454, decode.d0.loss_mask: 0.9696, decode.d0.loss_dice: 1.5055, decode.d1.loss_cls: 2.0403, decode.d1.loss_mask: 0.9812, decode.d1.loss_dice: 1.3684, decode.d2.loss_cls: 1.7254, decode.d2.loss_mask: 0.9605, decode.d2.loss_dice: 1.3246, decode.d3.loss_cls: 1.6180, decode.d3.loss_mask: 0.9573, decode.d3.loss_dice: 1.2984, decode.d4.loss_cls: 1.5634, decode.d4.loss_mask: 0.9619, decode.d4.loss_dice: 1.3201, decode.d5.loss_cls: 1.5457, decode.d5.loss_mask: 0.9583, decode.d5.loss_dice: 1.3084, decode.d6.loss_cls: 1.5208, decode.d6.loss_mask: 0.9636, decode.d6.loss_dice: 1.3115, decode.d7.loss_cls: 1.5143, decode.d7.loss_mask: 0.9668, decode.d7.loss_dice: 1.3134, decode.d8.loss_cls: 1.5084, decode.d8.loss_mask: 0.9598, decode.d8.loss_dice: 1.3115, loss: 43.4029 2022-06-21 14:52:54,822 - mmseg - INFO - Iter [7500/40000] lr: 1.251e-05, eta: 4:42:26, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6043, decode.loss_mask: 0.9281, decode.loss_dice: 1.3088, decode.d0.loss_cls: 5.8589, decode.d0.loss_mask: 0.9528, decode.d0.loss_dice: 1.5293, decode.d1.loss_cls: 2.1559, decode.d1.loss_mask: 0.9424, decode.d1.loss_dice: 1.3616, decode.d2.loss_cls: 1.8164, decode.d2.loss_mask: 0.9388, decode.d2.loss_dice: 1.3289, decode.d3.loss_cls: 1.7017, decode.d3.loss_mask: 0.9353, decode.d3.loss_dice: 1.3150, decode.d4.loss_cls: 1.6498, decode.d4.loss_mask: 0.9349, decode.d4.loss_dice: 1.3210, decode.d5.loss_cls: 1.6290, decode.d5.loss_mask: 0.9287, decode.d5.loss_dice: 1.3145, decode.d6.loss_cls: 1.6228, decode.d6.loss_mask: 0.9270, decode.d6.loss_dice: 1.3060, decode.d7.loss_cls: 1.6159, decode.d7.loss_mask: 0.9220, decode.d7.loss_dice: 1.3080, decode.d8.loss_cls: 1.5994, decode.d8.loss_mask: 0.9227, decode.d8.loss_dice: 1.3109, loss: 43.9906 2022-06-21 14:53:19,128 - mmseg - INFO - Iter [7550/40000] lr: 1.249e-05, eta: 4:41:53, time: 0.487, data_time: 0.010, memory: 40943, decode.loss_cls: 1.6040, decode.loss_mask: 0.9232, decode.loss_dice: 1.3009, decode.d0.loss_cls: 5.8563, decode.d0.loss_mask: 0.9464, decode.d0.loss_dice: 1.5336, decode.d1.loss_cls: 2.1547, decode.d1.loss_mask: 0.9413, decode.d1.loss_dice: 1.3617, decode.d2.loss_cls: 1.8081, decode.d2.loss_mask: 0.9316, decode.d2.loss_dice: 1.3164, decode.d3.loss_cls: 1.6993, decode.d3.loss_mask: 0.9308, decode.d3.loss_dice: 1.3007, decode.d4.loss_cls: 1.6564, decode.d4.loss_mask: 0.9359, decode.d4.loss_dice: 1.3068, decode.d5.loss_cls: 1.6307, decode.d5.loss_mask: 0.9274, decode.d5.loss_dice: 1.3060, decode.d6.loss_cls: 1.6145, decode.d6.loss_mask: 0.9316, decode.d6.loss_dice: 1.2964, decode.d7.loss_cls: 1.6137, decode.d7.loss_mask: 0.9234, decode.d7.loss_dice: 1.2885, decode.d8.loss_cls: 1.6018, decode.d8.loss_mask: 0.9213, decode.d8.loss_dice: 1.2937, loss: 43.8572 2022-06-21 14:53:43,616 - mmseg - INFO - Iter [7600/40000] lr: 1.247e-05, eta: 4:41:20, time: 0.489, data_time: 0.011, memory: 40943, decode.loss_cls: 1.6185, decode.loss_mask: 0.9389, decode.loss_dice: 1.3126, decode.d0.loss_cls: 5.7881, decode.d0.loss_mask: 0.9521, decode.d0.loss_dice: 1.5377, decode.d1.loss_cls: 2.1420, decode.d1.loss_mask: 0.9572, decode.d1.loss_dice: 1.3651, decode.d2.loss_cls: 1.8067, decode.d2.loss_mask: 0.9387, decode.d2.loss_dice: 1.3174, decode.d3.loss_cls: 1.7222, decode.d3.loss_mask: 0.9375, decode.d3.loss_dice: 1.3078, decode.d4.loss_cls: 1.6787, decode.d4.loss_mask: 0.9369, decode.d4.loss_dice: 1.3111, decode.d5.loss_cls: 1.6590, decode.d5.loss_mask: 0.9414, decode.d5.loss_dice: 1.3131, decode.d6.loss_cls: 1.6450, decode.d6.loss_mask: 0.9401, decode.d6.loss_dice: 1.3118, decode.d7.loss_cls: 1.6268, decode.d7.loss_mask: 0.9385, decode.d7.loss_dice: 1.3116, decode.d8.loss_cls: 1.6231, decode.d8.loss_mask: 0.9364, decode.d8.loss_dice: 1.3128, loss: 44.1286 2022-06-21 14:54:08,097 - mmseg - INFO - Iter [7650/40000] lr: 1.246e-05, eta: 4:40:47, time: 0.490, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5929, decode.loss_mask: 0.9211, decode.loss_dice: 1.3174, decode.d0.loss_cls: 5.7441, decode.d0.loss_mask: 0.9402, decode.d0.loss_dice: 1.5470, decode.d1.loss_cls: 2.1303, decode.d1.loss_mask: 0.9432, decode.d1.loss_dice: 1.3683, decode.d2.loss_cls: 1.7960, decode.d2.loss_mask: 0.9213, decode.d2.loss_dice: 1.3292, decode.d3.loss_cls: 1.6865, decode.d3.loss_mask: 0.9247, decode.d3.loss_dice: 1.3158, decode.d4.loss_cls: 1.6342, decode.d4.loss_mask: 0.9267, decode.d4.loss_dice: 1.3195, decode.d5.loss_cls: 1.6153, decode.d5.loss_mask: 0.9291, decode.d5.loss_dice: 1.3182, decode.d6.loss_cls: 1.5956, decode.d6.loss_mask: 0.9251, decode.d6.loss_dice: 1.3121, decode.d7.loss_cls: 1.5988, decode.d7.loss_mask: 0.9294, decode.d7.loss_dice: 1.3122, decode.d8.loss_cls: 1.5851, decode.d8.loss_mask: 0.9261, decode.d8.loss_dice: 1.3125, loss: 43.7177 2022-06-21 14:54:32,050 - mmseg - INFO - Iter [7700/40000] lr: 1.244e-05, eta: 4:40:13, time: 0.478, data_time: 0.009, memory: 40943, decode.loss_cls: 1.5596, decode.loss_mask: 0.9290, decode.loss_dice: 1.3277, decode.d0.loss_cls: 5.7365, decode.d0.loss_mask: 0.9342, decode.d0.loss_dice: 1.5370, decode.d1.loss_cls: 2.1190, decode.d1.loss_mask: 0.9531, decode.d1.loss_dice: 1.3833, decode.d2.loss_cls: 1.7854, decode.d2.loss_mask: 0.9206, decode.d2.loss_dice: 1.3399, decode.d3.loss_cls: 1.6791, decode.d3.loss_mask: 0.9222, decode.d3.loss_dice: 1.3197, decode.d4.loss_cls: 1.6306, decode.d4.loss_mask: 0.9248, decode.d4.loss_dice: 1.3304, decode.d5.loss_cls: 1.6038, decode.d5.loss_mask: 0.9244, decode.d5.loss_dice: 1.3316, decode.d6.loss_cls: 1.5813, decode.d6.loss_mask: 0.9311, decode.d6.loss_dice: 1.3244, decode.d7.loss_cls: 1.5749, decode.d7.loss_mask: 0.9260, decode.d7.loss_dice: 1.3288, decode.d8.loss_cls: 1.5656, decode.d8.loss_mask: 0.9261, decode.d8.loss_dice: 1.3267, loss: 43.6765 2022-06-21 14:54:56,632 - mmseg - INFO - Iter [7750/40000] lr: 1.242e-05, eta: 4:39:41, time: 0.492, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5631, decode.loss_mask: 0.9318, decode.loss_dice: 1.3300, decode.d0.loss_cls: 5.6435, decode.d0.loss_mask: 0.9571, decode.d0.loss_dice: 1.5423, decode.d1.loss_cls: 2.0689, decode.d1.loss_mask: 0.9555, decode.d1.loss_dice: 1.3706, decode.d2.loss_cls: 1.7642, decode.d2.loss_mask: 0.9405, decode.d2.loss_dice: 1.3340, decode.d3.loss_cls: 1.6736, decode.d3.loss_mask: 0.9342, decode.d3.loss_dice: 1.3126, decode.d4.loss_cls: 1.6231, decode.d4.loss_mask: 0.9310, decode.d4.loss_dice: 1.3287, decode.d5.loss_cls: 1.6119, decode.d5.loss_mask: 0.9311, decode.d5.loss_dice: 1.3195, decode.d6.loss_cls: 1.5958, decode.d6.loss_mask: 0.9332, decode.d6.loss_dice: 1.3179, decode.d7.loss_cls: 1.5696, decode.d7.loss_mask: 0.9371, decode.d7.loss_dice: 1.3249, decode.d8.loss_cls: 1.5720, decode.d8.loss_mask: 0.9316, decode.d8.loss_dice: 1.3262, loss: 43.5755 2022-06-21 14:55:22,395 - mmseg - INFO - Iter [7800/40000] lr: 1.240e-05, eta: 4:39:14, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5844, decode.loss_mask: 0.9334, decode.loss_dice: 1.3361, decode.d0.loss_cls: 5.6587, decode.d0.loss_mask: 0.9562, decode.d0.loss_dice: 1.5475, decode.d1.loss_cls: 2.1098, decode.d1.loss_mask: 0.9541, decode.d1.loss_dice: 1.3968, decode.d2.loss_cls: 1.7733, decode.d2.loss_mask: 0.9324, decode.d2.loss_dice: 1.3540, decode.d3.loss_cls: 1.6690, decode.d3.loss_mask: 0.9326, decode.d3.loss_dice: 1.3350, decode.d4.loss_cls: 1.6356, decode.d4.loss_mask: 0.9314, decode.d4.loss_dice: 1.3401, decode.d5.loss_cls: 1.6143, decode.d5.loss_mask: 0.9355, decode.d5.loss_dice: 1.3369, decode.d6.loss_cls: 1.5991, decode.d6.loss_mask: 0.9346, decode.d6.loss_dice: 1.3307, decode.d7.loss_cls: 1.5840, decode.d7.loss_mask: 0.9369, decode.d7.loss_dice: 1.3350, decode.d8.loss_cls: 1.5816, decode.d8.loss_mask: 0.9347, decode.d8.loss_dice: 1.3286, loss: 43.8324 2022-06-21 14:55:47,552 - mmseg - INFO - Iter [7850/40000] lr: 1.238e-05, eta: 4:38:44, time: 0.503, data_time: 0.009, memory: 40943, decode.loss_cls: 1.6042, decode.loss_mask: 0.9320, decode.loss_dice: 1.3430, decode.d0.loss_cls: 5.6262, decode.d0.loss_mask: 0.9475, decode.d0.loss_dice: 1.5612, decode.d1.loss_cls: 2.1246, decode.d1.loss_mask: 0.9471, decode.d1.loss_dice: 1.4032, decode.d2.loss_cls: 1.8073, decode.d2.loss_mask: 0.9333, decode.d2.loss_dice: 1.3585, decode.d3.loss_cls: 1.7091, decode.d3.loss_mask: 0.9393, decode.d3.loss_dice: 1.3392, decode.d4.loss_cls: 1.6684, decode.d4.loss_mask: 0.9401, decode.d4.loss_dice: 1.3413, decode.d5.loss_cls: 1.6371, decode.d5.loss_mask: 0.9435, decode.d5.loss_dice: 1.3393, decode.d6.loss_cls: 1.6188, decode.d6.loss_mask: 0.9445, decode.d6.loss_dice: 1.3330, decode.d7.loss_cls: 1.6029, decode.d7.loss_mask: 0.9399, decode.d7.loss_dice: 1.3383, decode.d8.loss_cls: 1.5972, decode.d8.loss_mask: 0.9380, decode.d8.loss_dice: 1.3330, loss: 44.0912 2022-06-21 14:56:15,577 - mmseg - INFO - Iter [7900/40000] lr: 1.236e-05, eta: 4:38:26, time: 0.560, data_time: 0.058, memory: 40943, decode.loss_cls: 1.5699, decode.loss_mask: 0.9171, decode.loss_dice: 1.3146, decode.d0.loss_cls: 5.6008, decode.d0.loss_mask: 0.9384, decode.d0.loss_dice: 1.5541, decode.d1.loss_cls: 2.1220, decode.d1.loss_mask: 0.9346, decode.d1.loss_dice: 1.3702, decode.d2.loss_cls: 1.7831, decode.d2.loss_mask: 0.9223, decode.d2.loss_dice: 1.3223, decode.d3.loss_cls: 1.6809, decode.d3.loss_mask: 0.9175, decode.d3.loss_dice: 1.3013, decode.d4.loss_cls: 1.6354, decode.d4.loss_mask: 0.9183, decode.d4.loss_dice: 1.3134, decode.d5.loss_cls: 1.6054, decode.d5.loss_mask: 0.9211, decode.d5.loss_dice: 1.3130, decode.d6.loss_cls: 1.5896, decode.d6.loss_mask: 0.9148, decode.d6.loss_dice: 1.3036, decode.d7.loss_cls: 1.5758, decode.d7.loss_mask: 0.9185, decode.d7.loss_dice: 1.3104, decode.d8.loss_cls: 1.5663, decode.d8.loss_mask: 0.9187, decode.d8.loss_dice: 1.3111, loss: 43.3643 2022-06-21 14:56:42,749 - mmseg - INFO - Iter [7950/40000] lr: 1.234e-05, eta: 4:38:05, time: 0.543, data_time: 0.012, memory: 40943, decode.loss_cls: 1.5625, decode.loss_mask: 0.9329, decode.loss_dice: 1.3118, decode.d0.loss_cls: 5.5454, decode.d0.loss_mask: 0.9468, decode.d0.loss_dice: 1.5418, decode.d1.loss_cls: 2.0979, decode.d1.loss_mask: 0.9471, decode.d1.loss_dice: 1.3719, decode.d2.loss_cls: 1.7711, decode.d2.loss_mask: 0.9417, decode.d2.loss_dice: 1.3261, decode.d3.loss_cls: 1.6670, decode.d3.loss_mask: 0.9403, decode.d3.loss_dice: 1.3076, decode.d4.loss_cls: 1.6149, decode.d4.loss_mask: 0.9410, decode.d4.loss_dice: 1.3200, decode.d5.loss_cls: 1.5898, decode.d5.loss_mask: 0.9410, decode.d5.loss_dice: 1.3165, decode.d6.loss_cls: 1.5776, decode.d6.loss_mask: 0.9433, decode.d6.loss_dice: 1.3079, decode.d7.loss_cls: 1.5650, decode.d7.loss_mask: 0.9379, decode.d7.loss_dice: 1.3096, decode.d8.loss_cls: 1.5570, decode.d8.loss_mask: 0.9375, decode.d8.loss_dice: 1.3126, loss: 43.3835 2022-06-21 14:57:10,220 - mmseg - INFO - Saving checkpoint at 8000 iterations 2022-06-21 14:57:17,378 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:57:17,378 - mmseg - INFO - Iter [8000/40000] lr: 1.232e-05, eta: 4:38:13, time: 0.693, data_time: 0.009, memory: 40943, decode.loss_cls: 1.5392, decode.loss_mask: 0.9425, decode.loss_dice: 1.2994, decode.d0.loss_cls: 5.4679, decode.d0.loss_mask: 0.9690, decode.d0.loss_dice: 1.5282, decode.d1.loss_cls: 2.0334, decode.d1.loss_mask: 0.9592, decode.d1.loss_dice: 1.3619, decode.d2.loss_cls: 1.7334, decode.d2.loss_mask: 0.9403, decode.d2.loss_dice: 1.3092, decode.d3.loss_cls: 1.6285, decode.d3.loss_mask: 0.9416, decode.d3.loss_dice: 1.3057, decode.d4.loss_cls: 1.5821, decode.d4.loss_mask: 0.9411, decode.d4.loss_dice: 1.3100, decode.d5.loss_cls: 1.5707, decode.d5.loss_mask: 0.9370, decode.d5.loss_dice: 1.3041, decode.d6.loss_cls: 1.5496, decode.d6.loss_mask: 0.9383, decode.d6.loss_dice: 1.3015, decode.d7.loss_cls: 1.5430, decode.d7.loss_mask: 0.9369, decode.d7.loss_dice: 1.3034, decode.d8.loss_cls: 1.5433, decode.d8.loss_mask: 0.9368, decode.d8.loss_dice: 1.3046, loss: 42.9618 2022-06-21 14:57:35,953 - mmseg - INFO - per class results: 2022-06-21 14:57:35,963 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 85.17 | 93.51 | | bicycle | 69.09 | 89.21 | | car | 62.29 | 74.51 | | motorcycle | 83.56 | 90.56 | | airplane | 89.03 | 94.99 | | bus | 83.75 | 88.68 | | train | 82.1 | 95.82 | | truck | 66.5 | 87.69 | | boat | 75.55 | 85.64 | | traffic light | 73.78 | 94.89 | | fire hydrant | 66.93 | 97.42 | | stop sign | 75.6 | 95.96 | | parking meter | 0.0 | 0.0 | | bench | 34.98 | 55.97 | | bird | 65.44 | 80.61 | | cat | 91.3 | 95.59 | | dog | 75.48 | 94.49 | | horse | 86.99 | 96.14 | | sheep | 83.14 | 91.2 | | cow | 93.67 | 96.02 | | elephant | 91.92 | 95.65 | | bear | 92.13 | 93.75 | | zebra | 90.92 | 95.46 | | giraffe | 87.33 | 93.13 | | backpack | 14.77 | 18.35 | | umbrella | 59.38 | 78.48 | | handbag | 12.12 | 34.91 | | tie | 0.0 | 0.0 | | suitcase | 76.5 | 94.05 | | frisbee | 25.76 | 27.5 | | skis | 27.63 | 51.9 | | snowboard | 50.72 | 60.2 | | sports ball | 65.86 | 79.12 | | kite | 62.17 | 84.3 | | baseball bat | 54.23 | 75.2 | | baseball glove | 25.15 | 28.7 | | skateboard | 65.91 | 84.79 | | surfboard | 85.88 | 93.55 | | tennis racket | 29.95 | 32.89 | | bottle | 59.2 | 85.97 | | wine glass | 80.63 | 87.15 | | cup | 52.23 | 70.47 | | fork | 26.35 | 47.21 | | knife | 53.61 | 67.77 | | spoon | 27.44 | 30.55 | | bowl | 54.82 | 67.95 | | banana | 42.97 | 62.89 | | apple | 52.0 | 81.27 | | sandwich | 79.93 | 98.25 | | orange | 25.2 | 42.71 | | broccoli | 60.6 | 98.74 | | carrot | 31.71 | 34.4 | | hot dog | 65.28 | 85.87 | | pizza | 94.11 | 96.2 | | donut | 71.45 | 86.0 | | cake | 69.67 | 81.37 | | chair | 52.15 | 73.5 | | couch | 56.86 | 83.74 | | potted plant | 41.06 | 57.8 | | bed | 69.18 | 91.02 | | dining table | 52.65 | 79.45 | | toilet | 75.96 | 93.74 | | tv | 82.92 | 86.39 | | laptop | 80.29 | 94.62 | | mouse | 28.34 | 55.04 | | remote | 23.09 | 34.0 | | keyboard | 54.63 | 96.84 | | cell phone | 73.03 | 95.05 | | microwave | 40.59 | 41.64 | | oven | 55.37 | 85.34 | | toaster | 0.0 | 0.0 | | sink | 48.38 | 57.55 | | refrigerator | 70.57 | 83.51 | | book | 72.28 | 91.45 | | clock | 79.34 | 83.65 | | vase | 57.28 | 78.05 | | scissors | 0.22 | 0.22 | | teddy bear | 72.22 | 77.48 | | hair drier | 0.0 | 0.0 | | toothbrush | 0.0 | 0.0 | | banner | 22.29 | 37.92 | | blanket | 0.0 | 0.0 | | branch | 0.0 | 0.0 | | bridge | 0.0 | 0.0 | | building-other | 51.0 | 79.29 | | bush | 31.52 | 47.54 | | cabinet | 21.63 | 29.47 | | cage | 0.0 | 0.0 | | cardboard | 0.0 | 0.0 | | carpet | 56.29 | 71.0 | | ceiling-other | 68.47 | 78.97 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 0.0 | 0.0 | | clouds | 52.93 | 72.65 | | counter | 31.17 | 38.85 | | cupboard | 55.0 | 83.32 | | curtain | 57.69 | 86.26 | | desk-stuff | 36.29 | 47.07 | | dirt | 37.62 | 65.6 | | door-stuff | 29.16 | 57.09 | | fence | 41.13 | 69.93 | | floor-marble | 0.0 | 0.0 | | floor-other | 33.56 | 55.09 | | floor-stone | 0.0 | 0.0 | | floor-tile | 55.82 | 71.63 | | floor-wood | 61.21 | 73.6 | | flower | 19.1 | 31.73 | | fog | 0.0 | 0.0 | | food-other | 28.8 | 61.76 | | fruit | 0.0 | 0.0 | | furniture-other | 13.93 | 19.04 | | grass | 73.93 | 83.88 | | gravel | 9.12 | 9.4 | | ground-other | 7.36 | 12.59 | | hill | 21.19 | 28.07 | | house | 39.7 | 47.15 | | leaves | 0.0 | 0.0 | | light | 35.05 | 47.28 | | mat | 0.0 | 0.0 | | metal | 0.0 | 0.0 | | mirror-stuff | 22.78 | 28.98 | | moss | 0.0 | 0.0 | | mountain | 31.59 | 62.85 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 23.34 | 23.87 | | paper | 9.13 | 11.56 | | pavement | 46.09 | 74.91 | | pillow | 0.0 | 0.0 | | plant-other | 25.5 | 44.93 | | plastic | 0.0 | 0.0 | | platform | 34.44 | 35.5 | | playingfield | 71.41 | 83.2 | | railing | 3.77 | 4.47 | | railroad | 58.68 | 89.18 | | river | 0.0 | 0.0 | | road | 67.77 | 77.52 | | rock | 46.16 | 71.15 | | roof | 3.91 | 4.94 | | rug | 36.41 | 42.8 | | salad | 0.0 | 0.0 | | sand | 68.23 | 86.95 | | sea | 66.78 | 91.44 | | shelf | 12.11 | 15.12 | | sky-other | 58.61 | 70.62 | | skyscraper | 0.0 | 0.0 | | snow | 92.24 | 95.04 | | solid-other | nan | nan | | stairs | 0.02 | 0.02 | | stone | 0.0 | 0.0 | | straw | 0.0 | 0.0 | | structural-other | 19.07 | 37.83 | | table | 8.66 | 12.17 | | tent | 0.0 | 0.0 | | textile-other | 17.73 | 20.9 | | towel | 21.75 | 42.45 | | tree | 76.99 | 87.27 | | vegetable | 9.86 | 10.11 | | wall-brick | 29.24 | 52.84 | | wall-concrete | 0.24 | 0.24 | | wall-other | 59.07 | 80.64 | | wall-panel | 0.0 | 0.0 | | wall-stone | 14.12 | 14.2 | | wall-tile | 45.28 | 77.84 | | wall-wood | 31.04 | 36.81 | | water-other | 14.41 | 21.64 | | waterdrops | nan | nan | | window-blind | 30.33 | 40.31 | | window-other | 42.73 | 53.48 | | wood | 18.56 | 19.04 | +------------------+-------+-------+ 2022-06-21 14:57:35,965 - mmseg - INFO - Summary: 2022-06-21 14:57:35,965 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.19 | 40.27 | 51.57 | +-------+-------+-------+ 2022-06-21 14:57:35,982 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_4000.pth was removed 2022-06-21 14:57:38,721 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2022-06-21 14:57:38,721 - mmseg - INFO - Best mIoU is 0.4027 at 8000 iter. 2022-06-21 14:57:38,726 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 14:57:38,727 - mmseg - INFO - Iter(val) [125] aAcc: 0.7219, mIoU: 0.4027, mAcc: 0.5157, IoU.person: 0.8517, IoU.bicycle: 0.6909, IoU.car: 0.6229, IoU.motorcycle: 0.8356, IoU.airplane: 0.8903, IoU.bus: 0.8375, IoU.train: 0.8210, IoU.truck: 0.6650, IoU.boat: 0.7555, IoU.traffic light: 0.7378, IoU.fire hydrant: 0.6693, IoU.stop sign: 0.7560, IoU.parking meter: 0.0000, IoU.bench: 0.3498, IoU.bird: 0.6544, IoU.cat: 0.9130, IoU.dog: 0.7548, IoU.horse: 0.8699, IoU.sheep: 0.8314, IoU.cow: 0.9367, IoU.elephant: 0.9192, IoU.bear: 0.9213, IoU.zebra: 0.9092, IoU.giraffe: 0.8733, IoU.backpack: 0.1477, IoU.umbrella: 0.5938, IoU.handbag: 0.1212, IoU.tie: 0.0000, IoU.suitcase: 0.7650, IoU.frisbee: 0.2576, IoU.skis: 0.2763, IoU.snowboard: 0.5072, IoU.sports ball: 0.6586, IoU.kite: 0.6217, IoU.baseball bat: 0.5423, IoU.baseball glove: 0.2515, IoU.skateboard: 0.6591, IoU.surfboard: 0.8588, IoU.tennis racket: 0.2995, IoU.bottle: 0.5920, IoU.wine glass: 0.8063, IoU.cup: 0.5223, IoU.fork: 0.2635, IoU.knife: 0.5361, IoU.spoon: 0.2744, IoU.bowl: 0.5482, IoU.banana: 0.4297, IoU.apple: 0.5200, IoU.sandwich: 0.7993, IoU.orange: 0.2520, IoU.broccoli: 0.6060, IoU.carrot: 0.3171, IoU.hot dog: 0.6528, IoU.pizza: 0.9411, IoU.donut: 0.7145, IoU.cake: 0.6967, IoU.chair: 0.5215, IoU.couch: 0.5686, IoU.potted plant: 0.4106, IoU.bed: 0.6918, IoU.dining table: 0.5265, IoU.toilet: 0.7596, IoU.tv: 0.8292, IoU.laptop: 0.8029, IoU.mouse: 0.2834, IoU.remote: 0.2309, IoU.keyboard: 0.5463, IoU.cell phone: 0.7303, IoU.microwave: 0.4059, IoU.oven: 0.5537, IoU.toaster: 0.0000, IoU.sink: 0.4838, IoU.refrigerator: 0.7057, IoU.book: 0.7228, IoU.clock: 0.7934, IoU.vase: 0.5728, IoU.scissors: 0.0022, IoU.teddy bear: 0.7222, IoU.hair drier: 0.0000, IoU.toothbrush: 0.0000, IoU.banner: 0.2229, IoU.blanket: 0.0000, IoU.branch: 0.0000, IoU.bridge: 0.0000, IoU.building-other: 0.5100, IoU.bush: 0.3152, IoU.cabinet: 0.2163, IoU.cage: 0.0000, IoU.cardboard: 0.0000, IoU.carpet: 0.5629, IoU.ceiling-other: 0.6847, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.0000, IoU.clouds: 0.5293, IoU.counter: 0.3117, IoU.cupboard: 0.5500, IoU.curtain: 0.5769, IoU.desk-stuff: 0.3629, IoU.dirt: 0.3762, IoU.door-stuff: 0.2916, IoU.fence: 0.4113, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3356, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.5582, IoU.floor-wood: 0.6121, IoU.flower: 0.1910, IoU.fog: 0.0000, IoU.food-other: 0.2880, IoU.fruit: 0.0000, IoU.furniture-other: 0.1393, IoU.grass: 0.7393, IoU.gravel: 0.0912, IoU.ground-other: 0.0736, IoU.hill: 0.2119, IoU.house: 0.3970, IoU.leaves: 0.0000, IoU.light: 0.3505, IoU.mat: 0.0000, IoU.metal: 0.0000, IoU.mirror-stuff: 0.2278, IoU.moss: 0.0000, IoU.mountain: 0.3159, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.2334, IoU.paper: 0.0913, IoU.pavement: 0.4609, IoU.pillow: 0.0000, IoU.plant-other: 0.2550, IoU.plastic: 0.0000, IoU.platform: 0.3444, IoU.playingfield: 0.7141, IoU.railing: 0.0377, IoU.railroad: 0.5868, IoU.river: 0.0000, IoU.road: 0.6777, IoU.rock: 0.4616, IoU.roof: 0.0391, IoU.rug: 0.3641, IoU.salad: 0.0000, IoU.sand: 0.6823, IoU.sea: 0.6678, IoU.shelf: 0.1211, IoU.sky-other: 0.5861, IoU.skyscraper: 0.0000, IoU.snow: 0.9224, IoU.solid-other: nan, IoU.stairs: 0.0002, IoU.stone: 0.0000, IoU.straw: 0.0000, IoU.structural-other: 0.1907, IoU.table: 0.0866, IoU.tent: 0.0000, IoU.textile-other: 0.1773, IoU.towel: 0.2175, IoU.tree: 0.7699, IoU.vegetable: 0.0986, IoU.wall-brick: 0.2924, IoU.wall-concrete: 0.0024, IoU.wall-other: 0.5907, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.1412, IoU.wall-tile: 0.4528, IoU.wall-wood: 0.3104, IoU.water-other: 0.1441, IoU.waterdrops: nan, IoU.window-blind: 0.3033, IoU.window-other: 0.4273, IoU.wood: 0.1856, Acc.person: 0.9351, Acc.bicycle: 0.8921, Acc.car: 0.7451, Acc.motorcycle: 0.9056, Acc.airplane: 0.9499, Acc.bus: 0.8868, Acc.train: 0.9582, Acc.truck: 0.8769, Acc.boat: 0.8564, Acc.traffic light: 0.9489, Acc.fire hydrant: 0.9742, Acc.stop sign: 0.9596, Acc.parking meter: 0.0000, Acc.bench: 0.5597, Acc.bird: 0.8061, Acc.cat: 0.9559, Acc.dog: 0.9449, Acc.horse: 0.9614, Acc.sheep: 0.9120, Acc.cow: 0.9602, Acc.elephant: 0.9565, Acc.bear: 0.9375, Acc.zebra: 0.9546, Acc.giraffe: 0.9313, Acc.backpack: 0.1835, Acc.umbrella: 0.7848, Acc.handbag: 0.3491, Acc.tie: 0.0000, Acc.suitcase: 0.9405, Acc.frisbee: 0.2750, Acc.skis: 0.5190, Acc.snowboard: 0.6020, Acc.sports ball: 0.7912, Acc.kite: 0.8430, Acc.baseball bat: 0.7520, Acc.baseball glove: 0.2870, Acc.skateboard: 0.8479, Acc.surfboard: 0.9355, Acc.tennis racket: 0.3289, Acc.bottle: 0.8597, Acc.wine glass: 0.8715, Acc.cup: 0.7047, Acc.fork: 0.4721, Acc.knife: 0.6777, Acc.spoon: 0.3055, Acc.bowl: 0.6795, Acc.banana: 0.6289, Acc.apple: 0.8127, Acc.sandwich: 0.9825, Acc.orange: 0.4271, Acc.broccoli: 0.9874, Acc.carrot: 0.3440, Acc.hot dog: 0.8587, Acc.pizza: 0.9620, Acc.donut: 0.8600, Acc.cake: 0.8137, Acc.chair: 0.7350, Acc.couch: 0.8374, Acc.potted plant: 0.5780, Acc.bed: 0.9102, Acc.dining table: 0.7945, Acc.toilet: 0.9374, Acc.tv: 0.8639, Acc.laptop: 0.9462, Acc.mouse: 0.5504, Acc.remote: 0.3400, Acc.keyboard: 0.9684, Acc.cell phone: 0.9505, Acc.microwave: 0.4164, Acc.oven: 0.8534, Acc.toaster: 0.0000, Acc.sink: 0.5755, Acc.refrigerator: 0.8351, Acc.book: 0.9145, Acc.clock: 0.8365, Acc.vase: 0.7805, Acc.scissors: 0.0022, Acc.teddy bear: 0.7748, Acc.hair drier: 0.0000, Acc.toothbrush: 0.0000, Acc.banner: 0.3792, Acc.blanket: 0.0000, Acc.branch: 0.0000, Acc.bridge: 0.0000, Acc.building-other: 0.7929, Acc.bush: 0.4754, Acc.cabinet: 0.2947, Acc.cage: 0.0000, Acc.cardboard: 0.0000, Acc.carpet: 0.7100, Acc.ceiling-other: 0.7897, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.0000, Acc.clouds: 0.7265, Acc.counter: 0.3885, Acc.cupboard: 0.8332, Acc.curtain: 0.8626, Acc.desk-stuff: 0.4707, Acc.dirt: 0.6560, Acc.door-stuff: 0.5709, Acc.fence: 0.6993, Acc.floor-marble: 0.0000, Acc.floor-other: 0.5509, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.7163, Acc.floor-wood: 0.7360, Acc.flower: 0.3173, Acc.fog: 0.0000, Acc.food-other: 0.6176, Acc.fruit: 0.0000, Acc.furniture-other: 0.1904, Acc.grass: 0.8388, Acc.gravel: 0.0940, Acc.ground-other: 0.1259, Acc.hill: 0.2807, Acc.house: 0.4715, Acc.leaves: 0.0000, Acc.light: 0.4728, Acc.mat: 0.0000, Acc.metal: 0.0000, Acc.mirror-stuff: 0.2898, Acc.moss: 0.0000, Acc.mountain: 0.6285, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.2387, Acc.paper: 0.1156, Acc.pavement: 0.7491, Acc.pillow: 0.0000, Acc.plant-other: 0.4493, Acc.plastic: 0.0000, Acc.platform: 0.3550, Acc.playingfield: 0.8320, Acc.railing: 0.0447, Acc.railroad: 0.8918, Acc.river: 0.0000, Acc.road: 0.7752, Acc.rock: 0.7115, Acc.roof: 0.0494, Acc.rug: 0.4280, Acc.salad: 0.0000, Acc.sand: 0.8695, Acc.sea: 0.9144, Acc.shelf: 0.1512, Acc.sky-other: 0.7062, Acc.skyscraper: 0.0000, Acc.snow: 0.9504, Acc.solid-other: nan, Acc.stairs: 0.0002, Acc.stone: 0.0000, Acc.straw: 0.0000, Acc.structural-other: 0.3783, Acc.table: 0.1217, Acc.tent: 0.0000, Acc.textile-other: 0.2090, Acc.towel: 0.4245, Acc.tree: 0.8727, Acc.vegetable: 0.1011, Acc.wall-brick: 0.5284, Acc.wall-concrete: 0.0024, Acc.wall-other: 0.8064, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.1420, Acc.wall-tile: 0.7784, Acc.wall-wood: 0.3681, Acc.water-other: 0.2164, Acc.waterdrops: nan, Acc.window-blind: 0.4031, Acc.window-other: 0.5348, Acc.wood: 0.1904 2022-06-21 14:58:06,268 - mmseg - INFO - Iter [8050/40000] lr: 1.230e-05, eta: 4:39:18, time: 0.977, data_time: 0.436, memory: 40943, decode.loss_cls: 1.5204, decode.loss_mask: 0.9316, decode.loss_dice: 1.2990, decode.d0.loss_cls: 5.4507, decode.d0.loss_mask: 0.9633, decode.d0.loss_dice: 1.5318, decode.d1.loss_cls: 2.0498, decode.d1.loss_mask: 0.9518, decode.d1.loss_dice: 1.3642, decode.d2.loss_cls: 1.7300, decode.d2.loss_mask: 0.9283, decode.d2.loss_dice: 1.3174, decode.d3.loss_cls: 1.6221, decode.d3.loss_mask: 0.9333, decode.d3.loss_dice: 1.3039, decode.d4.loss_cls: 1.5701, decode.d4.loss_mask: 0.9344, decode.d4.loss_dice: 1.3192, decode.d5.loss_cls: 1.5509, decode.d5.loss_mask: 0.9370, decode.d5.loss_dice: 1.3139, decode.d6.loss_cls: 1.5326, decode.d6.loss_mask: 0.9392, decode.d6.loss_dice: 1.2996, decode.d7.loss_cls: 1.5204, decode.d7.loss_mask: 0.9371, decode.d7.loss_dice: 1.3058, decode.d8.loss_cls: 1.5057, decode.d8.loss_mask: 0.9405, decode.d8.loss_dice: 1.3047, loss: 42.8089 2022-06-21 14:58:33,760 - mmseg - INFO - Iter [8100/40000] lr: 1.228e-05, eta: 4:38:56, time: 0.549, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5293, decode.loss_mask: 0.9286, decode.loss_dice: 1.3130, decode.d0.loss_cls: 5.4289, decode.d0.loss_mask: 0.9426, decode.d0.loss_dice: 1.5355, decode.d1.loss_cls: 2.0377, decode.d1.loss_mask: 0.9358, decode.d1.loss_dice: 1.3739, decode.d2.loss_cls: 1.7286, decode.d2.loss_mask: 0.9260, decode.d2.loss_dice: 1.3257, decode.d3.loss_cls: 1.6403, decode.d3.loss_mask: 0.9217, decode.d3.loss_dice: 1.3062, decode.d4.loss_cls: 1.5916, decode.d4.loss_mask: 0.9255, decode.d4.loss_dice: 1.3125, decode.d5.loss_cls: 1.5651, decode.d5.loss_mask: 0.9312, decode.d5.loss_dice: 1.3131, decode.d6.loss_cls: 1.5435, decode.d6.loss_mask: 0.9264, decode.d6.loss_dice: 1.3083, decode.d7.loss_cls: 1.5275, decode.d7.loss_mask: 0.9287, decode.d7.loss_dice: 1.3090, decode.d8.loss_cls: 1.5280, decode.d8.loss_mask: 0.9306, decode.d8.loss_dice: 1.3095, loss: 42.8245 2022-06-21 14:59:00,832 - mmseg - INFO - Iter [8150/40000] lr: 1.226e-05, eta: 4:38:33, time: 0.542, data_time: 0.011, memory: 40943, decode.loss_cls: 1.5255, decode.loss_mask: 0.9306, decode.loss_dice: 1.2886, decode.d0.loss_cls: 5.3612, decode.d0.loss_mask: 0.9442, decode.d0.loss_dice: 1.5177, decode.d1.loss_cls: 2.0407, decode.d1.loss_mask: 0.9442, decode.d1.loss_dice: 1.3494, decode.d2.loss_cls: 1.7235, decode.d2.loss_mask: 0.9302, decode.d2.loss_dice: 1.2981, decode.d3.loss_cls: 1.6122, decode.d3.loss_mask: 0.9359, decode.d3.loss_dice: 1.2885, decode.d4.loss_cls: 1.5700, decode.d4.loss_mask: 0.9314, decode.d4.loss_dice: 1.2975, decode.d5.loss_cls: 1.5467, decode.d5.loss_mask: 0.9353, decode.d5.loss_dice: 1.2877, decode.d6.loss_cls: 1.5332, decode.d6.loss_mask: 0.9294, decode.d6.loss_dice: 1.2973, decode.d7.loss_cls: 1.5243, decode.d7.loss_mask: 0.9400, decode.d7.loss_dice: 1.2979, decode.d8.loss_cls: 1.5176, decode.d8.loss_mask: 0.9312, decode.d8.loss_dice: 1.2897, loss: 42.5197 2022-06-21 14:59:29,343 - mmseg - INFO - Iter [8200/40000] lr: 1.224e-05, eta: 4:38:16, time: 0.570, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4830, decode.loss_mask: 0.8939, decode.loss_dice: 1.2885, decode.d0.loss_cls: 5.3544, decode.d0.loss_mask: 0.9040, decode.d0.loss_dice: 1.5193, decode.d1.loss_cls: 2.0069, decode.d1.loss_mask: 0.9086, decode.d1.loss_dice: 1.3540, decode.d2.loss_cls: 1.6896, decode.d2.loss_mask: 0.8968, decode.d2.loss_dice: 1.2985, decode.d3.loss_cls: 1.5896, decode.d3.loss_mask: 0.8958, decode.d3.loss_dice: 1.2887, decode.d4.loss_cls: 1.5312, decode.d4.loss_mask: 0.8932, decode.d4.loss_dice: 1.2942, decode.d5.loss_cls: 1.5141, decode.d5.loss_mask: 0.8910, decode.d5.loss_dice: 1.2947, decode.d6.loss_cls: 1.5030, decode.d6.loss_mask: 0.8858, decode.d6.loss_dice: 1.2843, decode.d7.loss_cls: 1.4867, decode.d7.loss_mask: 0.8877, decode.d7.loss_dice: 1.2880, decode.d8.loss_cls: 1.4810, decode.d8.loss_mask: 0.8917, decode.d8.loss_dice: 1.2878, loss: 41.7859 2022-06-21 14:59:58,650 - mmseg - INFO - Iter [8250/40000] lr: 1.222e-05, eta: 4:38:01, time: 0.586, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4309, decode.loss_mask: 0.9076, decode.loss_dice: 1.2980, decode.d0.loss_cls: 5.2401, decode.d0.loss_mask: 0.9310, decode.d0.loss_dice: 1.5026, decode.d1.loss_cls: 1.9242, decode.d1.loss_mask: 0.9254, decode.d1.loss_dice: 1.3547, decode.d2.loss_cls: 1.6389, decode.d2.loss_mask: 0.9108, decode.d2.loss_dice: 1.3127, decode.d3.loss_cls: 1.5355, decode.d3.loss_mask: 0.9098, decode.d3.loss_dice: 1.2993, decode.d4.loss_cls: 1.4893, decode.d4.loss_mask: 0.9081, decode.d4.loss_dice: 1.2997, decode.d5.loss_cls: 1.4751, decode.d5.loss_mask: 0.9054, decode.d5.loss_dice: 1.2945, decode.d6.loss_cls: 1.4557, decode.d6.loss_mask: 0.9053, decode.d6.loss_dice: 1.2889, decode.d7.loss_cls: 1.4438, decode.d7.loss_mask: 0.9047, decode.d7.loss_dice: 1.2904, decode.d8.loss_cls: 1.4281, decode.d8.loss_mask: 0.9080, decode.d8.loss_dice: 1.2950, loss: 41.4134 2022-06-21 15:00:28,686 - mmseg - INFO - Iter [8300/40000] lr: 1.221e-05, eta: 4:37:49, time: 0.601, data_time: 0.011, memory: 40943, decode.loss_cls: 1.5436, decode.loss_mask: 0.9125, decode.loss_dice: 1.3367, decode.d0.loss_cls: 5.3039, decode.d0.loss_mask: 0.9240, decode.d0.loss_dice: 1.5615, decode.d1.loss_cls: 2.0669, decode.d1.loss_mask: 0.9301, decode.d1.loss_dice: 1.3903, decode.d2.loss_cls: 1.7519, decode.d2.loss_mask: 0.9091, decode.d2.loss_dice: 1.3528, decode.d3.loss_cls: 1.6668, decode.d3.loss_mask: 0.9014, decode.d3.loss_dice: 1.3306, decode.d4.loss_cls: 1.6184, decode.d4.loss_mask: 0.9007, decode.d4.loss_dice: 1.3367, decode.d5.loss_cls: 1.5883, decode.d5.loss_mask: 0.9067, decode.d5.loss_dice: 1.3359, decode.d6.loss_cls: 1.5785, decode.d6.loss_mask: 0.9064, decode.d6.loss_dice: 1.3264, decode.d7.loss_cls: 1.5673, decode.d7.loss_mask: 0.9063, decode.d7.loss_dice: 1.3290, decode.d8.loss_cls: 1.5557, decode.d8.loss_mask: 0.9070, decode.d8.loss_dice: 1.3356, loss: 42.9811 2022-06-21 15:00:58,833 - mmseg - INFO - Iter [8350/40000] lr: 1.219e-05, eta: 4:37:38, time: 0.603, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4904, decode.loss_mask: 0.9254, decode.loss_dice: 1.3083, decode.d0.loss_cls: 5.1975, decode.d0.loss_mask: 0.9407, decode.d0.loss_dice: 1.5189, decode.d1.loss_cls: 1.9729, decode.d1.loss_mask: 0.9569, decode.d1.loss_dice: 1.3630, decode.d2.loss_cls: 1.6859, decode.d2.loss_mask: 0.9385, decode.d2.loss_dice: 1.3181, decode.d3.loss_cls: 1.5836, decode.d3.loss_mask: 0.9413, decode.d3.loss_dice: 1.3035, decode.d4.loss_cls: 1.5424, decode.d4.loss_mask: 0.9283, decode.d4.loss_dice: 1.3031, decode.d5.loss_cls: 1.5252, decode.d5.loss_mask: 0.9269, decode.d5.loss_dice: 1.2989, decode.d6.loss_cls: 1.5177, decode.d6.loss_mask: 0.9293, decode.d6.loss_dice: 1.2950, decode.d7.loss_cls: 1.5013, decode.d7.loss_mask: 0.9339, decode.d7.loss_dice: 1.3025, decode.d8.loss_cls: 1.4864, decode.d8.loss_mask: 0.9306, decode.d8.loss_dice: 1.3088, loss: 42.1753 2022-06-21 15:01:29,698 - mmseg - INFO - Iter [8400/40000] lr: 1.217e-05, eta: 4:37:29, time: 0.618, data_time: 0.013, memory: 40943, decode.loss_cls: 1.5446, decode.loss_mask: 0.9325, decode.loss_dice: 1.3079, decode.d0.loss_cls: 5.2562, decode.d0.loss_mask: 0.9632, decode.d0.loss_dice: 1.5304, decode.d1.loss_cls: 2.0470, decode.d1.loss_mask: 0.9604, decode.d1.loss_dice: 1.3702, decode.d2.loss_cls: 1.7356, decode.d2.loss_mask: 0.9391, decode.d2.loss_dice: 1.3217, decode.d3.loss_cls: 1.6387, decode.d3.loss_mask: 0.9393, decode.d3.loss_dice: 1.3037, decode.d4.loss_cls: 1.6080, decode.d4.loss_mask: 0.9279, decode.d4.loss_dice: 1.3060, decode.d5.loss_cls: 1.5766, decode.d5.loss_mask: 0.9299, decode.d5.loss_dice: 1.3059, decode.d6.loss_cls: 1.5564, decode.d6.loss_mask: 0.9368, decode.d6.loss_dice: 1.2993, decode.d7.loss_cls: 1.5485, decode.d7.loss_mask: 0.9307, decode.d7.loss_dice: 1.3010, decode.d8.loss_cls: 1.5366, decode.d8.loss_mask: 0.9370, decode.d8.loss_dice: 1.3067, loss: 42.7979 2022-06-21 15:02:04,178 - mmseg - INFO - Iter [8450/40000] lr: 1.215e-05, eta: 4:37:33, time: 0.689, data_time: 0.059, memory: 40943, decode.loss_cls: 1.4860, decode.loss_mask: 0.9322, decode.loss_dice: 1.3033, decode.d0.loss_cls: 5.2080, decode.d0.loss_mask: 0.9421, decode.d0.loss_dice: 1.5092, decode.d1.loss_cls: 2.0262, decode.d1.loss_mask: 0.9436, decode.d1.loss_dice: 1.3624, decode.d2.loss_cls: 1.6809, decode.d2.loss_mask: 0.9401, decode.d2.loss_dice: 1.3145, decode.d3.loss_cls: 1.5801, decode.d3.loss_mask: 0.9347, decode.d3.loss_dice: 1.2897, decode.d4.loss_cls: 1.5379, decode.d4.loss_mask: 0.9315, decode.d4.loss_dice: 1.2991, decode.d5.loss_cls: 1.5148, decode.d5.loss_mask: 0.9294, decode.d5.loss_dice: 1.3029, decode.d6.loss_cls: 1.4887, decode.d6.loss_mask: 0.9311, decode.d6.loss_dice: 1.2936, decode.d7.loss_cls: 1.4853, decode.d7.loss_mask: 0.9336, decode.d7.loss_dice: 1.3012, decode.d8.loss_cls: 1.4680, decode.d8.loss_mask: 0.9382, decode.d8.loss_dice: 1.3116, loss: 42.1202 2022-06-21 15:02:34,981 - mmseg - INFO - Iter [8500/40000] lr: 1.213e-05, eta: 4:37:23, time: 0.616, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4993, decode.loss_mask: 0.9155, decode.loss_dice: 1.2886, decode.d0.loss_cls: 5.1684, decode.d0.loss_mask: 0.9343, decode.d0.loss_dice: 1.5122, decode.d1.loss_cls: 2.0169, decode.d1.loss_mask: 0.9442, decode.d1.loss_dice: 1.3585, decode.d2.loss_cls: 1.7077, decode.d2.loss_mask: 0.9245, decode.d2.loss_dice: 1.3070, decode.d3.loss_cls: 1.5993, decode.d3.loss_mask: 0.9236, decode.d3.loss_dice: 1.2923, decode.d4.loss_cls: 1.5598, decode.d4.loss_mask: 0.9204, decode.d4.loss_dice: 1.2968, decode.d5.loss_cls: 1.5283, decode.d5.loss_mask: 0.9271, decode.d5.loss_dice: 1.2953, decode.d6.loss_cls: 1.5093, decode.d6.loss_mask: 0.9317, decode.d6.loss_dice: 1.2905, decode.d7.loss_cls: 1.5048, decode.d7.loss_mask: 0.9252, decode.d7.loss_dice: 1.2864, decode.d8.loss_cls: 1.4947, decode.d8.loss_mask: 0.9220, decode.d8.loss_dice: 1.2962, loss: 42.0807 2022-06-21 15:03:05,624 - mmseg - INFO - Iter [8550/40000] lr: 1.211e-05, eta: 4:37:12, time: 0.613, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5474, decode.loss_mask: 0.9276, decode.loss_dice: 1.3173, decode.d0.loss_cls: 5.1595, decode.d0.loss_mask: 0.9490, decode.d0.loss_dice: 1.5483, decode.d1.loss_cls: 2.0582, decode.d1.loss_mask: 0.9458, decode.d1.loss_dice: 1.3832, decode.d2.loss_cls: 1.7262, decode.d2.loss_mask: 0.9346, decode.d2.loss_dice: 1.3316, decode.d3.loss_cls: 1.6394, decode.d3.loss_mask: 0.9308, decode.d3.loss_dice: 1.3166, decode.d4.loss_cls: 1.5905, decode.d4.loss_mask: 0.9287, decode.d4.loss_dice: 1.3246, decode.d5.loss_cls: 1.5758, decode.d5.loss_mask: 0.9321, decode.d5.loss_dice: 1.3209, decode.d6.loss_cls: 1.5564, decode.d6.loss_mask: 0.9318, decode.d6.loss_dice: 1.3177, decode.d7.loss_cls: 1.5503, decode.d7.loss_mask: 0.9259, decode.d7.loss_dice: 1.3158, decode.d8.loss_cls: 1.5430, decode.d8.loss_mask: 0.9301, decode.d8.loss_dice: 1.3252, loss: 42.7842 2022-06-21 15:03:35,223 - mmseg - INFO - Iter [8600/40000] lr: 1.209e-05, eta: 4:36:57, time: 0.592, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4647, decode.loss_mask: 0.9055, decode.loss_dice: 1.2800, decode.d0.loss_cls: 5.0893, decode.d0.loss_mask: 0.9245, decode.d0.loss_dice: 1.5026, decode.d1.loss_cls: 1.9765, decode.d1.loss_mask: 0.9287, decode.d1.loss_dice: 1.3489, decode.d2.loss_cls: 1.6818, decode.d2.loss_mask: 0.9102, decode.d2.loss_dice: 1.2965, decode.d3.loss_cls: 1.5882, decode.d3.loss_mask: 0.9148, decode.d3.loss_dice: 1.2847, decode.d4.loss_cls: 1.5370, decode.d4.loss_mask: 0.9066, decode.d4.loss_dice: 1.2835, decode.d5.loss_cls: 1.5073, decode.d5.loss_mask: 0.9109, decode.d5.loss_dice: 1.2850, decode.d6.loss_cls: 1.4830, decode.d6.loss_mask: 0.9089, decode.d6.loss_dice: 1.2786, decode.d7.loss_cls: 1.4706, decode.d7.loss_mask: 0.9089, decode.d7.loss_dice: 1.2880, decode.d8.loss_cls: 1.4788, decode.d8.loss_mask: 0.9065, decode.d8.loss_dice: 1.2831, loss: 41.5337 2022-06-21 15:04:06,682 - mmseg - INFO - Iter [8650/40000] lr: 1.207e-05, eta: 4:36:48, time: 0.629, data_time: 0.010, memory: 40943, decode.loss_cls: 1.5121, decode.loss_mask: 0.9023, decode.loss_dice: 1.3012, decode.d0.loss_cls: 5.0951, decode.d0.loss_mask: 0.9210, decode.d0.loss_dice: 1.5389, decode.d1.loss_cls: 2.0199, decode.d1.loss_mask: 0.9105, decode.d1.loss_dice: 1.3509, decode.d2.loss_cls: 1.7077, decode.d2.loss_mask: 0.8964, decode.d2.loss_dice: 1.3153, decode.d3.loss_cls: 1.6165, decode.d3.loss_mask: 0.9033, decode.d3.loss_dice: 1.3044, decode.d4.loss_cls: 1.5762, decode.d4.loss_mask: 0.9056, decode.d4.loss_dice: 1.3123, decode.d5.loss_cls: 1.5443, decode.d5.loss_mask: 0.9005, decode.d5.loss_dice: 1.3028, decode.d6.loss_cls: 1.5292, decode.d6.loss_mask: 0.8969, decode.d6.loss_dice: 1.2926, decode.d7.loss_cls: 1.5173, decode.d7.loss_mask: 0.8994, decode.d7.loss_dice: 1.2914, decode.d8.loss_cls: 1.5091, decode.d8.loss_mask: 0.9040, decode.d8.loss_dice: 1.2983, loss: 41.9756 2022-06-21 15:04:36,966 - mmseg - INFO - Iter [8700/40000] lr: 1.205e-05, eta: 4:36:36, time: 0.606, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4759, decode.loss_mask: 0.9333, decode.loss_dice: 1.2738, decode.d0.loss_cls: 5.0328, decode.d0.loss_mask: 0.9498, decode.d0.loss_dice: 1.4950, decode.d1.loss_cls: 1.9529, decode.d1.loss_mask: 0.9484, decode.d1.loss_dice: 1.3250, decode.d2.loss_cls: 1.6656, decode.d2.loss_mask: 0.9332, decode.d2.loss_dice: 1.2876, decode.d3.loss_cls: 1.5727, decode.d3.loss_mask: 0.9257, decode.d3.loss_dice: 1.2736, decode.d4.loss_cls: 1.5370, decode.d4.loss_mask: 0.9273, decode.d4.loss_dice: 1.2773, decode.d5.loss_cls: 1.5092, decode.d5.loss_mask: 0.9297, decode.d5.loss_dice: 1.2787, decode.d6.loss_cls: 1.4951, decode.d6.loss_mask: 0.9265, decode.d6.loss_dice: 1.2690, decode.d7.loss_cls: 1.4794, decode.d7.loss_mask: 0.9274, decode.d7.loss_dice: 1.2780, decode.d8.loss_cls: 1.4750, decode.d8.loss_mask: 0.9273, decode.d8.loss_dice: 1.2784, loss: 41.5607 2022-06-21 15:05:09,848 - mmseg - INFO - Iter [8750/40000] lr: 1.203e-05, eta: 4:36:32, time: 0.657, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4486, decode.loss_mask: 0.9138, decode.loss_dice: 1.2926, decode.d0.loss_cls: 4.9501, decode.d0.loss_mask: 0.9340, decode.d0.loss_dice: 1.4930, decode.d1.loss_cls: 1.8952, decode.d1.loss_mask: 0.9433, decode.d1.loss_dice: 1.3512, decode.d2.loss_cls: 1.6200, decode.d2.loss_mask: 0.9221, decode.d2.loss_dice: 1.3102, decode.d3.loss_cls: 1.5252, decode.d3.loss_mask: 0.9185, decode.d3.loss_dice: 1.2884, decode.d4.loss_cls: 1.4808, decode.d4.loss_mask: 0.9144, decode.d4.loss_dice: 1.3000, decode.d5.loss_cls: 1.4704, decode.d5.loss_mask: 0.9153, decode.d5.loss_dice: 1.2981, decode.d6.loss_cls: 1.4569, decode.d6.loss_mask: 0.9156, decode.d6.loss_dice: 1.2862, decode.d7.loss_cls: 1.4487, decode.d7.loss_mask: 0.9172, decode.d7.loss_dice: 1.2879, decode.d8.loss_cls: 1.4392, decode.d8.loss_mask: 0.9153, decode.d8.loss_dice: 1.2931, loss: 41.1452 2022-06-21 15:05:41,803 - mmseg - INFO - Iter [8800/40000] lr: 1.201e-05, eta: 4:36:25, time: 0.640, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4548, decode.loss_mask: 0.9165, decode.loss_dice: 1.2931, decode.d0.loss_cls: 4.9533, decode.d0.loss_mask: 0.9266, decode.d0.loss_dice: 1.5064, decode.d1.loss_cls: 1.9292, decode.d1.loss_mask: 0.9316, decode.d1.loss_dice: 1.3547, decode.d2.loss_cls: 1.6378, decode.d2.loss_mask: 0.9121, decode.d2.loss_dice: 1.3095, decode.d3.loss_cls: 1.5518, decode.d3.loss_mask: 0.9130, decode.d3.loss_dice: 1.2885, decode.d4.loss_cls: 1.5130, decode.d4.loss_mask: 0.9115, decode.d4.loss_dice: 1.2940, decode.d5.loss_cls: 1.4830, decode.d5.loss_mask: 0.9147, decode.d5.loss_dice: 1.2963, decode.d6.loss_cls: 1.4723, decode.d6.loss_mask: 0.9099, decode.d6.loss_dice: 1.2835, decode.d7.loss_cls: 1.4655, decode.d7.loss_mask: 0.9147, decode.d7.loss_dice: 1.2907, decode.d8.loss_cls: 1.4638, decode.d8.loss_mask: 0.9138, decode.d8.loss_dice: 1.2881, loss: 41.2937 2022-06-21 15:06:12,361 - mmseg - INFO - Iter [8850/40000] lr: 1.199e-05, eta: 4:36:12, time: 0.611, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4598, decode.loss_mask: 0.8959, decode.loss_dice: 1.3115, decode.d0.loss_cls: 4.9070, decode.d0.loss_mask: 0.9147, decode.d0.loss_dice: 1.5193, decode.d1.loss_cls: 1.9264, decode.d1.loss_mask: 0.9176, decode.d1.loss_dice: 1.3729, decode.d2.loss_cls: 1.6399, decode.d2.loss_mask: 0.9005, decode.d2.loss_dice: 1.3307, decode.d3.loss_cls: 1.5406, decode.d3.loss_mask: 0.9001, decode.d3.loss_dice: 1.3077, decode.d4.loss_cls: 1.5027, decode.d4.loss_mask: 0.8968, decode.d4.loss_dice: 1.3157, decode.d5.loss_cls: 1.4834, decode.d5.loss_mask: 0.8940, decode.d5.loss_dice: 1.3128, decode.d6.loss_cls: 1.4705, decode.d6.loss_mask: 0.8974, decode.d6.loss_dice: 1.3074, decode.d7.loss_cls: 1.4578, decode.d7.loss_mask: 0.8962, decode.d7.loss_dice: 1.3139, decode.d8.loss_cls: 1.4583, decode.d8.loss_mask: 0.8955, decode.d8.loss_dice: 1.3085, loss: 41.2553 2022-06-21 15:06:41,926 - mmseg - INFO - Iter [8900/40000] lr: 1.197e-05, eta: 4:35:56, time: 0.591, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4907, decode.loss_mask: 0.9408, decode.loss_dice: 1.2954, decode.d0.loss_cls: 4.9036, decode.d0.loss_mask: 0.9676, decode.d0.loss_dice: 1.5131, decode.d1.loss_cls: 1.9692, decode.d1.loss_mask: 0.9661, decode.d1.loss_dice: 1.3484, decode.d2.loss_cls: 1.6900, decode.d2.loss_mask: 0.9452, decode.d2.loss_dice: 1.3103, decode.d3.loss_cls: 1.5861, decode.d3.loss_mask: 0.9478, decode.d3.loss_dice: 1.2973, decode.d4.loss_cls: 1.5400, decode.d4.loss_mask: 0.9492, decode.d4.loss_dice: 1.3080, decode.d5.loss_cls: 1.5232, decode.d5.loss_mask: 0.9444, decode.d5.loss_dice: 1.2972, decode.d6.loss_cls: 1.5132, decode.d6.loss_mask: 0.9514, decode.d6.loss_dice: 1.2944, decode.d7.loss_cls: 1.4959, decode.d7.loss_mask: 0.9498, decode.d7.loss_dice: 1.2935, decode.d8.loss_cls: 1.4917, decode.d8.loss_mask: 0.9495, decode.d8.loss_dice: 1.2947, loss: 41.9679 2022-06-21 15:07:11,665 - mmseg - INFO - Iter [8950/40000] lr: 1.195e-05, eta: 4:35:40, time: 0.595, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4305, decode.loss_mask: 0.9395, decode.loss_dice: 1.2869, decode.d0.loss_cls: 4.8847, decode.d0.loss_mask: 0.9496, decode.d0.loss_dice: 1.4875, decode.d1.loss_cls: 1.9247, decode.d1.loss_mask: 0.9517, decode.d1.loss_dice: 1.3403, decode.d2.loss_cls: 1.6323, decode.d2.loss_mask: 0.9355, decode.d2.loss_dice: 1.2978, decode.d3.loss_cls: 1.5264, decode.d3.loss_mask: 0.9402, decode.d3.loss_dice: 1.2902, decode.d4.loss_cls: 1.4964, decode.d4.loss_mask: 0.9405, decode.d4.loss_dice: 1.2932, decode.d5.loss_cls: 1.4821, decode.d5.loss_mask: 0.9420, decode.d5.loss_dice: 1.2901, decode.d6.loss_cls: 1.4626, decode.d6.loss_mask: 0.9389, decode.d6.loss_dice: 1.2824, decode.d7.loss_cls: 1.4403, decode.d7.loss_mask: 0.9436, decode.d7.loss_dice: 1.2802, decode.d8.loss_cls: 1.4380, decode.d8.loss_mask: 0.9404, decode.d8.loss_dice: 1.2724, loss: 41.2609 2022-06-21 15:07:42,972 - mmseg - INFO - Saving checkpoint at 9000 iterations 2022-06-21 15:07:45,718 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:07:45,718 - mmseg - INFO - Iter [9000/40000] lr: 1.194e-05, eta: 4:35:39, time: 0.681, data_time: 0.058, memory: 40943, decode.loss_cls: 1.4923, decode.loss_mask: 0.9087, decode.loss_dice: 1.3146, decode.d0.loss_cls: 4.8927, decode.d0.loss_mask: 0.9208, decode.d0.loss_dice: 1.5190, decode.d1.loss_cls: 1.9755, decode.d1.loss_mask: 0.9290, decode.d1.loss_dice: 1.3566, decode.d2.loss_cls: 1.6791, decode.d2.loss_mask: 0.9133, decode.d2.loss_dice: 1.3179, decode.d3.loss_cls: 1.5864, decode.d3.loss_mask: 0.9067, decode.d3.loss_dice: 1.2982, decode.d4.loss_cls: 1.5401, decode.d4.loss_mask: 0.9126, decode.d4.loss_dice: 1.3145, decode.d5.loss_cls: 1.5201, decode.d5.loss_mask: 0.9113, decode.d5.loss_dice: 1.3125, decode.d6.loss_cls: 1.5083, decode.d6.loss_mask: 0.9090, decode.d6.loss_dice: 1.3012, decode.d7.loss_cls: 1.4940, decode.d7.loss_mask: 0.9095, decode.d7.loss_dice: 1.3034, decode.d8.loss_cls: 1.4855, decode.d8.loss_mask: 0.9090, decode.d8.loss_dice: 1.3125, loss: 41.6540 2022-06-21 15:08:15,790 - mmseg - INFO - Iter [9050/40000] lr: 1.192e-05, eta: 4:35:24, time: 0.601, data_time: 0.008, memory: 40943, decode.loss_cls: 1.4722, decode.loss_mask: 0.8890, decode.loss_dice: 1.3110, decode.d0.loss_cls: 4.8476, decode.d0.loss_mask: 0.9061, decode.d0.loss_dice: 1.5202, decode.d1.loss_cls: 1.9615, decode.d1.loss_mask: 0.9154, decode.d1.loss_dice: 1.3695, decode.d2.loss_cls: 1.6537, decode.d2.loss_mask: 0.8910, decode.d2.loss_dice: 1.3238, decode.d3.loss_cls: 1.5628, decode.d3.loss_mask: 0.8959, decode.d3.loss_dice: 1.3158, decode.d4.loss_cls: 1.5331, decode.d4.loss_mask: 0.8925, decode.d4.loss_dice: 1.3247, decode.d5.loss_cls: 1.5113, decode.d5.loss_mask: 0.8906, decode.d5.loss_dice: 1.3155, decode.d6.loss_cls: 1.4997, decode.d6.loss_mask: 0.8927, decode.d6.loss_dice: 1.3152, decode.d7.loss_cls: 1.4840, decode.d7.loss_mask: 0.8961, decode.d7.loss_dice: 1.3145, decode.d8.loss_cls: 1.4690, decode.d8.loss_mask: 0.8940, decode.d8.loss_dice: 1.3153, loss: 41.3836 2022-06-21 15:08:46,292 - mmseg - INFO - Iter [9100/40000] lr: 1.190e-05, eta: 4:35:10, time: 0.610, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4017, decode.loss_mask: 0.9120, decode.loss_dice: 1.2563, decode.d0.loss_cls: 4.7655, decode.d0.loss_mask: 0.9330, decode.d0.loss_dice: 1.4724, decode.d1.loss_cls: 1.8720, decode.d1.loss_mask: 0.9416, decode.d1.loss_dice: 1.3079, decode.d2.loss_cls: 1.5914, decode.d2.loss_mask: 0.9167, decode.d2.loss_dice: 1.2605, decode.d3.loss_cls: 1.5018, decode.d3.loss_mask: 0.9187, decode.d3.loss_dice: 1.2418, decode.d4.loss_cls: 1.4637, decode.d4.loss_mask: 0.9079, decode.d4.loss_dice: 1.2503, decode.d5.loss_cls: 1.4461, decode.d5.loss_mask: 0.9088, decode.d5.loss_dice: 1.2499, decode.d6.loss_cls: 1.4212, decode.d6.loss_mask: 0.9147, decode.d6.loss_dice: 1.2511, decode.d7.loss_cls: 1.4203, decode.d7.loss_mask: 0.9146, decode.d7.loss_dice: 1.2510, decode.d8.loss_cls: 1.4013, decode.d8.loss_mask: 0.9202, decode.d8.loss_dice: 1.2570, loss: 40.2712 2022-06-21 15:09:14,635 - mmseg - INFO - Iter [9150/40000] lr: 1.188e-05, eta: 4:34:49, time: 0.566, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4711, decode.loss_mask: 0.9097, decode.loss_dice: 1.3018, decode.d0.loss_cls: 4.7674, decode.d0.loss_mask: 0.9258, decode.d0.loss_dice: 1.5070, decode.d1.loss_cls: 1.9439, decode.d1.loss_mask: 0.9245, decode.d1.loss_dice: 1.3644, decode.d2.loss_cls: 1.6480, decode.d2.loss_mask: 0.9088, decode.d2.loss_dice: 1.3188, decode.d3.loss_cls: 1.5624, decode.d3.loss_mask: 0.9039, decode.d3.loss_dice: 1.2949, decode.d4.loss_cls: 1.5209, decode.d4.loss_mask: 0.9053, decode.d4.loss_dice: 1.2959, decode.d5.loss_cls: 1.4893, decode.d5.loss_mask: 0.9068, decode.d5.loss_dice: 1.2973, decode.d6.loss_cls: 1.4814, decode.d6.loss_mask: 0.9073, decode.d6.loss_dice: 1.2990, decode.d7.loss_cls: 1.4656, decode.d7.loss_mask: 0.9066, decode.d7.loss_dice: 1.2966, decode.d8.loss_cls: 1.4682, decode.d8.loss_mask: 0.9113, decode.d8.loss_dice: 1.2987, loss: 41.2027 2022-06-21 15:09:42,266 - mmseg - INFO - Iter [9200/40000] lr: 1.186e-05, eta: 4:34:25, time: 0.552, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4169, decode.loss_mask: 0.9343, decode.loss_dice: 1.2542, decode.d0.loss_cls: 4.7400, decode.d0.loss_mask: 0.9563, decode.d0.loss_dice: 1.4639, decode.d1.loss_cls: 1.8730, decode.d1.loss_mask: 0.9560, decode.d1.loss_dice: 1.3130, decode.d2.loss_cls: 1.5989, decode.d2.loss_mask: 0.9377, decode.d2.loss_dice: 1.2751, decode.d3.loss_cls: 1.5074, decode.d3.loss_mask: 0.9396, decode.d3.loss_dice: 1.2614, decode.d4.loss_cls: 1.4725, decode.d4.loss_mask: 0.9315, decode.d4.loss_dice: 1.2640, decode.d5.loss_cls: 1.4470, decode.d5.loss_mask: 0.9346, decode.d5.loss_dice: 1.2641, decode.d6.loss_cls: 1.4321, decode.d6.loss_mask: 0.9365, decode.d6.loss_dice: 1.2566, decode.d7.loss_cls: 1.4254, decode.d7.loss_mask: 0.9377, decode.d7.loss_dice: 1.2570, decode.d8.loss_cls: 1.4167, decode.d8.loss_mask: 0.9336, decode.d8.loss_dice: 1.2570, loss: 40.5941 2022-06-21 15:10:09,511 - mmseg - INFO - Iter [9250/40000] lr: 1.184e-05, eta: 4:34:00, time: 0.545, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4332, decode.loss_mask: 0.9143, decode.loss_dice: 1.2948, decode.d0.loss_cls: 4.6986, decode.d0.loss_mask: 0.9258, decode.d0.loss_dice: 1.4996, decode.d1.loss_cls: 1.8672, decode.d1.loss_mask: 0.9386, decode.d1.loss_dice: 1.3577, decode.d2.loss_cls: 1.5942, decode.d2.loss_mask: 0.9170, decode.d2.loss_dice: 1.3182, decode.d3.loss_cls: 1.5050, decode.d3.loss_mask: 0.9212, decode.d3.loss_dice: 1.2991, decode.d4.loss_cls: 1.4786, decode.d4.loss_mask: 0.9169, decode.d4.loss_dice: 1.3008, decode.d5.loss_cls: 1.4568, decode.d5.loss_mask: 0.9140, decode.d5.loss_dice: 1.2989, decode.d6.loss_cls: 1.4416, decode.d6.loss_mask: 0.9132, decode.d6.loss_dice: 1.2916, decode.d7.loss_cls: 1.4365, decode.d7.loss_mask: 0.9163, decode.d7.loss_dice: 1.2965, decode.d8.loss_cls: 1.4273, decode.d8.loss_mask: 0.9096, decode.d8.loss_dice: 1.2954, loss: 40.7788 2022-06-21 15:10:35,747 - mmseg - INFO - Iter [9300/40000] lr: 1.182e-05, eta: 4:33:32, time: 0.525, data_time: 0.011, memory: 40943, decode.loss_cls: 1.4062, decode.loss_mask: 0.9531, decode.loss_dice: 1.3153, decode.d0.loss_cls: 4.6368, decode.d0.loss_mask: 0.9692, decode.d0.loss_dice: 1.5251, decode.d1.loss_cls: 1.8522, decode.d1.loss_mask: 0.9758, decode.d1.loss_dice: 1.3835, decode.d2.loss_cls: 1.5769, decode.d2.loss_mask: 0.9606, decode.d2.loss_dice: 1.3507, decode.d3.loss_cls: 1.4958, decode.d3.loss_mask: 0.9525, decode.d3.loss_dice: 1.3170, decode.d4.loss_cls: 1.4635, decode.d4.loss_mask: 0.9510, decode.d4.loss_dice: 1.3199, decode.d5.loss_cls: 1.4423, decode.d5.loss_mask: 0.9488, decode.d5.loss_dice: 1.3196, decode.d6.loss_cls: 1.4211, decode.d6.loss_mask: 0.9491, decode.d6.loss_dice: 1.3134, decode.d7.loss_cls: 1.4108, decode.d7.loss_mask: 0.9486, decode.d7.loss_dice: 1.3134, decode.d8.loss_cls: 1.4040, decode.d8.loss_mask: 0.9500, decode.d8.loss_dice: 1.3158, loss: 41.1419 2022-06-21 15:11:03,930 - mmseg - INFO - Iter [9350/40000] lr: 1.180e-05, eta: 4:33:10, time: 0.563, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4174, decode.loss_mask: 0.9064, decode.loss_dice: 1.2831, decode.d0.loss_cls: 4.6871, decode.d0.loss_mask: 0.9151, decode.d0.loss_dice: 1.4878, decode.d1.loss_cls: 1.8685, decode.d1.loss_mask: 0.9216, decode.d1.loss_dice: 1.3366, decode.d2.loss_cls: 1.5892, decode.d2.loss_mask: 0.9104, decode.d2.loss_dice: 1.2966, decode.d3.loss_cls: 1.4943, decode.d3.loss_mask: 0.9078, decode.d3.loss_dice: 1.2771, decode.d4.loss_cls: 1.4668, decode.d4.loss_mask: 0.9081, decode.d4.loss_dice: 1.2846, decode.d5.loss_cls: 1.4503, decode.d5.loss_mask: 0.9058, decode.d5.loss_dice: 1.2815, decode.d6.loss_cls: 1.4303, decode.d6.loss_mask: 0.9106, decode.d6.loss_dice: 1.2782, decode.d7.loss_cls: 1.4305, decode.d7.loss_mask: 0.9111, decode.d7.loss_dice: 1.2759, decode.d8.loss_cls: 1.4098, decode.d8.loss_mask: 0.9086, decode.d8.loss_dice: 1.2787, loss: 40.4298 2022-06-21 15:11:31,642 - mmseg - INFO - Iter [9400/40000] lr: 1.178e-05, eta: 4:32:46, time: 0.554, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4922, decode.loss_mask: 0.9094, decode.loss_dice: 1.3003, decode.d0.loss_cls: 4.6876, decode.d0.loss_mask: 0.9320, decode.d0.loss_dice: 1.5286, decode.d1.loss_cls: 1.9416, decode.d1.loss_mask: 0.9295, decode.d1.loss_dice: 1.3631, decode.d2.loss_cls: 1.6614, decode.d2.loss_mask: 0.9224, decode.d2.loss_dice: 1.3150, decode.d3.loss_cls: 1.5717, decode.d3.loss_mask: 0.9184, decode.d3.loss_dice: 1.3053, decode.d4.loss_cls: 1.5290, decode.d4.loss_mask: 0.9148, decode.d4.loss_dice: 1.3078, decode.d5.loss_cls: 1.5124, decode.d5.loss_mask: 0.9184, decode.d5.loss_dice: 1.3025, decode.d6.loss_cls: 1.5079, decode.d6.loss_mask: 0.9111, decode.d6.loss_dice: 1.2883, decode.d7.loss_cls: 1.5018, decode.d7.loss_mask: 0.9098, decode.d7.loss_dice: 1.2925, decode.d8.loss_cls: 1.4929, decode.d8.loss_mask: 0.9093, decode.d8.loss_dice: 1.2892, loss: 41.3661 2022-06-21 15:11:58,761 - mmseg - INFO - Iter [9450/40000] lr: 1.176e-05, eta: 4:32:21, time: 0.543, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4374, decode.loss_mask: 0.9311, decode.loss_dice: 1.3256, decode.d0.loss_cls: 4.6486, decode.d0.loss_mask: 0.9361, decode.d0.loss_dice: 1.5411, decode.d1.loss_cls: 1.8989, decode.d1.loss_mask: 0.9372, decode.d1.loss_dice: 1.3861, decode.d2.loss_cls: 1.6174, decode.d2.loss_mask: 0.9196, decode.d2.loss_dice: 1.3328, decode.d3.loss_cls: 1.5303, decode.d3.loss_mask: 0.9229, decode.d3.loss_dice: 1.3308, decode.d4.loss_cls: 1.4913, decode.d4.loss_mask: 0.9250, decode.d4.loss_dice: 1.3346, decode.d5.loss_cls: 1.4597, decode.d5.loss_mask: 0.9246, decode.d5.loss_dice: 1.3219, decode.d6.loss_cls: 1.4514, decode.d6.loss_mask: 0.9269, decode.d6.loss_dice: 1.3212, decode.d7.loss_cls: 1.4362, decode.d7.loss_mask: 0.9182, decode.d7.loss_dice: 1.3230, decode.d8.loss_cls: 1.4352, decode.d8.loss_mask: 0.9250, decode.d8.loss_dice: 1.3256, loss: 41.2158 2022-06-21 15:12:26,090 - mmseg - INFO - Iter [9500/40000] lr: 1.174e-05, eta: 4:31:56, time: 0.547, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3600, decode.loss_mask: 0.9050, decode.loss_dice: 1.2252, decode.d0.loss_cls: 4.5615, decode.d0.loss_mask: 0.9244, decode.d0.loss_dice: 1.4271, decode.d1.loss_cls: 1.8111, decode.d1.loss_mask: 0.9221, decode.d1.loss_dice: 1.2889, decode.d2.loss_cls: 1.5407, decode.d2.loss_mask: 0.9115, decode.d2.loss_dice: 1.2410, decode.d3.loss_cls: 1.4589, decode.d3.loss_mask: 0.9076, decode.d3.loss_dice: 1.2288, decode.d4.loss_cls: 1.4277, decode.d4.loss_mask: 0.9059, decode.d4.loss_dice: 1.2332, decode.d5.loss_cls: 1.3965, decode.d5.loss_mask: 0.9079, decode.d5.loss_dice: 1.2349, decode.d6.loss_cls: 1.3836, decode.d6.loss_mask: 0.9105, decode.d6.loss_dice: 1.2283, decode.d7.loss_cls: 1.3758, decode.d7.loss_mask: 0.9049, decode.d7.loss_dice: 1.2289, decode.d8.loss_cls: 1.3609, decode.d8.loss_mask: 0.9001, decode.d8.loss_dice: 1.2339, loss: 39.3469 2022-06-21 15:12:52,798 - mmseg - INFO - Iter [9550/40000] lr: 1.172e-05, eta: 4:31:29, time: 0.534, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4325, decode.loss_mask: 0.9026, decode.loss_dice: 1.2908, decode.d0.loss_cls: 4.5682, decode.d0.loss_mask: 0.9159, decode.d0.loss_dice: 1.5085, decode.d1.loss_cls: 1.8989, decode.d1.loss_mask: 0.9151, decode.d1.loss_dice: 1.3562, decode.d2.loss_cls: 1.6016, decode.d2.loss_mask: 0.8976, decode.d2.loss_dice: 1.3159, decode.d3.loss_cls: 1.5148, decode.d3.loss_mask: 0.9047, decode.d3.loss_dice: 1.2880, decode.d4.loss_cls: 1.4762, decode.d4.loss_mask: 0.9051, decode.d4.loss_dice: 1.2950, decode.d5.loss_cls: 1.4639, decode.d5.loss_mask: 0.9042, decode.d5.loss_dice: 1.2959, decode.d6.loss_cls: 1.4456, decode.d6.loss_mask: 0.8997, decode.d6.loss_dice: 1.2869, decode.d7.loss_cls: 1.4423, decode.d7.loss_mask: 0.8991, decode.d7.loss_dice: 1.2895, decode.d8.loss_cls: 1.4319, decode.d8.loss_mask: 0.9009, decode.d8.loss_dice: 1.2875, loss: 40.5348 2022-06-21 15:13:22,078 - mmseg - INFO - Iter [9600/40000] lr: 1.170e-05, eta: 4:31:10, time: 0.586, data_time: 0.058, memory: 40943, decode.loss_cls: 1.4212, decode.loss_mask: 0.9048, decode.loss_dice: 1.2847, decode.d0.loss_cls: 4.5713, decode.d0.loss_mask: 0.9249, decode.d0.loss_dice: 1.4946, decode.d1.loss_cls: 1.8856, decode.d1.loss_mask: 0.9335, decode.d1.loss_dice: 1.3587, decode.d2.loss_cls: 1.5914, decode.d2.loss_mask: 0.9109, decode.d2.loss_dice: 1.3039, decode.d3.loss_cls: 1.5141, decode.d3.loss_mask: 0.9092, decode.d3.loss_dice: 1.2865, decode.d4.loss_cls: 1.4675, decode.d4.loss_mask: 0.9107, decode.d4.loss_dice: 1.2944, decode.d5.loss_cls: 1.4518, decode.d5.loss_mask: 0.9112, decode.d5.loss_dice: 1.2949, decode.d6.loss_cls: 1.4336, decode.d6.loss_mask: 0.9116, decode.d6.loss_dice: 1.2794, decode.d7.loss_cls: 1.4220, decode.d7.loss_mask: 0.9118, decode.d7.loss_dice: 1.2851, decode.d8.loss_cls: 1.4184, decode.d8.loss_mask: 0.9092, decode.d8.loss_dice: 1.2833, loss: 40.4800 2022-06-21 15:13:48,482 - mmseg - INFO - Iter [9650/40000] lr: 1.169e-05, eta: 4:30:42, time: 0.528, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4066, decode.loss_mask: 0.9192, decode.loss_dice: 1.2732, decode.d0.loss_cls: 4.5117, decode.d0.loss_mask: 0.9468, decode.d0.loss_dice: 1.4928, decode.d1.loss_cls: 1.8481, decode.d1.loss_mask: 0.9346, decode.d1.loss_dice: 1.3307, decode.d2.loss_cls: 1.5751, decode.d2.loss_mask: 0.9192, decode.d2.loss_dice: 1.2800, decode.d3.loss_cls: 1.4912, decode.d3.loss_mask: 0.9224, decode.d3.loss_dice: 1.2652, decode.d4.loss_cls: 1.4447, decode.d4.loss_mask: 0.9257, decode.d4.loss_dice: 1.2748, decode.d5.loss_cls: 1.4259, decode.d5.loss_mask: 0.9206, decode.d5.loss_dice: 1.2699, decode.d6.loss_cls: 1.4211, decode.d6.loss_mask: 0.9229, decode.d6.loss_dice: 1.2711, decode.d7.loss_cls: 1.4093, decode.d7.loss_mask: 0.9232, decode.d7.loss_dice: 1.2735, decode.d8.loss_cls: 1.4013, decode.d8.loss_mask: 0.9215, decode.d8.loss_dice: 1.2737, loss: 40.1959 2022-06-21 15:14:15,551 - mmseg - INFO - Iter [9700/40000] lr: 1.167e-05, eta: 4:30:16, time: 0.541, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4247, decode.loss_mask: 0.8952, decode.loss_dice: 1.2769, decode.d0.loss_cls: 4.5503, decode.d0.loss_mask: 0.9311, decode.d0.loss_dice: 1.5129, decode.d1.loss_cls: 1.8860, decode.d1.loss_mask: 0.9220, decode.d1.loss_dice: 1.3369, decode.d2.loss_cls: 1.5905, decode.d2.loss_mask: 0.9117, decode.d2.loss_dice: 1.2976, decode.d3.loss_cls: 1.5018, decode.d3.loss_mask: 0.9073, decode.d3.loss_dice: 1.2796, decode.d4.loss_cls: 1.4680, decode.d4.loss_mask: 0.9041, decode.d4.loss_dice: 1.2818, decode.d5.loss_cls: 1.4454, decode.d5.loss_mask: 0.9022, decode.d5.loss_dice: 1.2823, decode.d6.loss_cls: 1.4273, decode.d6.loss_mask: 0.9050, decode.d6.loss_dice: 1.2828, decode.d7.loss_cls: 1.4180, decode.d7.loss_mask: 0.9068, decode.d7.loss_dice: 1.2822, decode.d8.loss_cls: 1.4235, decode.d8.loss_mask: 0.9030, decode.d8.loss_dice: 1.2817, loss: 40.3386 2022-06-21 15:14:42,975 - mmseg - INFO - Iter [9750/40000] lr: 1.165e-05, eta: 4:29:52, time: 0.549, data_time: 0.012, memory: 40943, decode.loss_cls: 1.3978, decode.loss_mask: 0.9011, decode.loss_dice: 1.2741, decode.d0.loss_cls: 4.5043, decode.d0.loss_mask: 0.9275, decode.d0.loss_dice: 1.4906, decode.d1.loss_cls: 1.8562, decode.d1.loss_mask: 0.9309, decode.d1.loss_dice: 1.3364, decode.d2.loss_cls: 1.5786, decode.d2.loss_mask: 0.9013, decode.d2.loss_dice: 1.2803, decode.d3.loss_cls: 1.4800, decode.d3.loss_mask: 0.9062, decode.d3.loss_dice: 1.2702, decode.d4.loss_cls: 1.4451, decode.d4.loss_mask: 0.9031, decode.d4.loss_dice: 1.2787, decode.d5.loss_cls: 1.4234, decode.d5.loss_mask: 0.9021, decode.d5.loss_dice: 1.2760, decode.d6.loss_cls: 1.4095, decode.d6.loss_mask: 0.8993, decode.d6.loss_dice: 1.2742, decode.d7.loss_cls: 1.4050, decode.d7.loss_mask: 0.9011, decode.d7.loss_dice: 1.2742, decode.d8.loss_cls: 1.3994, decode.d8.loss_mask: 0.9017, decode.d8.loss_dice: 1.2798, loss: 40.0084 2022-06-21 15:15:10,523 - mmseg - INFO - Iter [9800/40000] lr: 1.163e-05, eta: 4:29:27, time: 0.551, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4184, decode.loss_mask: 0.8654, decode.loss_dice: 1.2700, decode.d0.loss_cls: 4.4673, decode.d0.loss_mask: 0.8857, decode.d0.loss_dice: 1.4957, decode.d1.loss_cls: 1.8744, decode.d1.loss_mask: 0.8909, decode.d1.loss_dice: 1.3426, decode.d2.loss_cls: 1.5962, decode.d2.loss_mask: 0.8665, decode.d2.loss_dice: 1.2976, decode.d3.loss_cls: 1.5076, decode.d3.loss_mask: 0.8617, decode.d3.loss_dice: 1.2691, decode.d4.loss_cls: 1.4603, decode.d4.loss_mask: 0.8656, decode.d4.loss_dice: 1.2805, decode.d5.loss_cls: 1.4455, decode.d5.loss_mask: 0.8691, decode.d5.loss_dice: 1.2812, decode.d6.loss_cls: 1.4263, decode.d6.loss_mask: 0.8688, decode.d6.loss_dice: 1.2691, decode.d7.loss_cls: 1.4188, decode.d7.loss_mask: 0.8653, decode.d7.loss_dice: 1.2719, decode.d8.loss_cls: 1.4136, decode.d8.loss_mask: 0.8660, decode.d8.loss_dice: 1.2725, loss: 39.7837 2022-06-21 15:15:37,641 - mmseg - INFO - Iter [9850/40000] lr: 1.161e-05, eta: 4:29:02, time: 0.542, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4087, decode.loss_mask: 0.8902, decode.loss_dice: 1.2522, decode.d0.loss_cls: 4.4422, decode.d0.loss_mask: 0.9112, decode.d0.loss_dice: 1.4701, decode.d1.loss_cls: 1.8526, decode.d1.loss_mask: 0.9090, decode.d1.loss_dice: 1.3225, decode.d2.loss_cls: 1.5672, decode.d2.loss_mask: 0.8933, decode.d2.loss_dice: 1.2750, decode.d3.loss_cls: 1.4792, decode.d3.loss_mask: 0.8922, decode.d3.loss_dice: 1.2600, decode.d4.loss_cls: 1.4492, decode.d4.loss_mask: 0.8881, decode.d4.loss_dice: 1.2593, decode.d5.loss_cls: 1.4376, decode.d5.loss_mask: 0.8843, decode.d5.loss_dice: 1.2576, decode.d6.loss_cls: 1.4182, decode.d6.loss_mask: 0.8843, decode.d6.loss_dice: 1.2516, decode.d7.loss_cls: 1.4123, decode.d7.loss_mask: 0.8876, decode.d7.loss_dice: 1.2499, decode.d8.loss_cls: 1.4045, decode.d8.loss_mask: 0.8895, decode.d8.loss_dice: 1.2564, loss: 39.6561 2022-06-21 15:16:04,171 - mmseg - INFO - Iter [9900/40000] lr: 1.159e-05, eta: 4:28:34, time: 0.530, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4171, decode.loss_mask: 0.8868, decode.loss_dice: 1.2531, decode.d0.loss_cls: 4.3929, decode.d0.loss_mask: 0.9089, decode.d0.loss_dice: 1.4665, decode.d1.loss_cls: 1.8800, decode.d1.loss_mask: 0.9007, decode.d1.loss_dice: 1.3150, decode.d2.loss_cls: 1.5985, decode.d2.loss_mask: 0.8878, decode.d2.loss_dice: 1.2678, decode.d3.loss_cls: 1.5049, decode.d3.loss_mask: 0.8923, decode.d3.loss_dice: 1.2528, decode.d4.loss_cls: 1.4697, decode.d4.loss_mask: 0.8876, decode.d4.loss_dice: 1.2517, decode.d5.loss_cls: 1.4435, decode.d5.loss_mask: 0.8864, decode.d5.loss_dice: 1.2527, decode.d6.loss_cls: 1.4253, decode.d6.loss_mask: 0.8903, decode.d6.loss_dice: 1.2529, decode.d7.loss_cls: 1.4185, decode.d7.loss_mask: 0.8907, decode.d7.loss_dice: 1.2520, decode.d8.loss_cls: 1.4077, decode.d8.loss_mask: 0.8874, decode.d8.loss_dice: 1.2559, loss: 39.6975 2022-06-21 15:16:31,085 - mmseg - INFO - Iter [9950/40000] lr: 1.157e-05, eta: 4:28:08, time: 0.539, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3800, decode.loss_mask: 0.9003, decode.loss_dice: 1.2840, decode.d0.loss_cls: 4.4064, decode.d0.loss_mask: 0.9298, decode.d0.loss_dice: 1.4841, decode.d1.loss_cls: 1.8452, decode.d1.loss_mask: 0.9264, decode.d1.loss_dice: 1.3298, decode.d2.loss_cls: 1.5648, decode.d2.loss_mask: 0.9015, decode.d2.loss_dice: 1.2872, decode.d3.loss_cls: 1.4644, decode.d3.loss_mask: 0.9095, decode.d3.loss_dice: 1.2869, decode.d4.loss_cls: 1.4279, decode.d4.loss_mask: 0.9092, decode.d4.loss_dice: 1.2899, decode.d5.loss_cls: 1.4046, decode.d5.loss_mask: 0.9067, decode.d5.loss_dice: 1.2896, decode.d6.loss_cls: 1.3893, decode.d6.loss_mask: 0.9020, decode.d6.loss_dice: 1.2825, decode.d7.loss_cls: 1.3826, decode.d7.loss_mask: 0.9046, decode.d7.loss_dice: 1.2853, decode.d8.loss_cls: 1.3832, decode.d8.loss_mask: 0.9029, decode.d8.loss_dice: 1.2821, loss: 39.8428 2022-06-21 15:16:58,097 - mmseg - INFO - Saving checkpoint at 10000 iterations 2022-06-21 15:17:00,821 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:17:00,821 - mmseg - INFO - Iter [10000/40000] lr: 1.155e-05, eta: 4:27:50, time: 0.595, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4070, decode.loss_mask: 0.9017, decode.loss_dice: 1.2515, decode.d0.loss_cls: 4.3931, decode.d0.loss_mask: 0.9261, decode.d0.loss_dice: 1.4653, decode.d1.loss_cls: 1.8372, decode.d1.loss_mask: 0.9310, decode.d1.loss_dice: 1.3255, decode.d2.loss_cls: 1.5761, decode.d2.loss_mask: 0.9107, decode.d2.loss_dice: 1.2732, decode.d3.loss_cls: 1.4915, decode.d3.loss_mask: 0.9076, decode.d3.loss_dice: 1.2549, decode.d4.loss_cls: 1.4598, decode.d4.loss_mask: 0.9064, decode.d4.loss_dice: 1.2545, decode.d5.loss_cls: 1.4217, decode.d5.loss_mask: 0.9073, decode.d5.loss_dice: 1.2597, decode.d6.loss_cls: 1.4135, decode.d6.loss_mask: 0.9073, decode.d6.loss_dice: 1.2584, decode.d7.loss_cls: 1.4123, decode.d7.loss_mask: 0.9051, decode.d7.loss_dice: 1.2534, decode.d8.loss_cls: 1.4113, decode.d8.loss_mask: 0.9026, decode.d8.loss_dice: 1.2511, loss: 39.7769 2022-06-21 15:17:28,262 - mmseg - INFO - Iter [10050/40000] lr: 1.153e-05, eta: 4:27:25, time: 0.549, data_time: 0.009, memory: 40943, decode.loss_cls: 1.4124, decode.loss_mask: 0.9184, decode.loss_dice: 1.2835, decode.d0.loss_cls: 4.3763, decode.d0.loss_mask: 0.9287, decode.d0.loss_dice: 1.4726, decode.d1.loss_cls: 1.8650, decode.d1.loss_mask: 0.9420, decode.d1.loss_dice: 1.3416, decode.d2.loss_cls: 1.5882, decode.d2.loss_mask: 0.9281, decode.d2.loss_dice: 1.2956, decode.d3.loss_cls: 1.5048, decode.d3.loss_mask: 0.9185, decode.d3.loss_dice: 1.2770, decode.d4.loss_cls: 1.4619, decode.d4.loss_mask: 0.9170, decode.d4.loss_dice: 1.2903, decode.d5.loss_cls: 1.4429, decode.d5.loss_mask: 0.9164, decode.d5.loss_dice: 1.2805, decode.d6.loss_cls: 1.4343, decode.d6.loss_mask: 0.9201, decode.d6.loss_dice: 1.2747, decode.d7.loss_cls: 1.4195, decode.d7.loss_mask: 0.9189, decode.d7.loss_dice: 1.2813, decode.d8.loss_cls: 1.4135, decode.d8.loss_mask: 0.9262, decode.d8.loss_dice: 1.2771, loss: 40.2271 2022-06-21 15:17:55,622 - mmseg - INFO - Iter [10100/40000] lr: 1.151e-05, eta: 4:27:00, time: 0.547, data_time: 0.010, memory: 40943, decode.loss_cls: 1.4087, decode.loss_mask: 0.9129, decode.loss_dice: 1.2779, decode.d0.loss_cls: 4.3748, decode.d0.loss_mask: 0.9368, decode.d0.loss_dice: 1.4859, decode.d1.loss_cls: 1.8358, decode.d1.loss_mask: 0.9366, decode.d1.loss_dice: 1.3415, decode.d2.loss_cls: 1.5689, decode.d2.loss_mask: 0.9179, decode.d2.loss_dice: 1.3034, decode.d3.loss_cls: 1.4677, decode.d3.loss_mask: 0.9131, decode.d3.loss_dice: 1.2795, decode.d4.loss_cls: 1.4390, decode.d4.loss_mask: 0.9128, decode.d4.loss_dice: 1.2855, decode.d5.loss_cls: 1.4200, decode.d5.loss_mask: 0.9153, decode.d5.loss_dice: 1.2798, decode.d6.loss_cls: 1.4057, decode.d6.loss_mask: 0.9088, decode.d6.loss_dice: 1.2776, decode.d7.loss_cls: 1.3953, decode.d7.loss_mask: 0.9176, decode.d7.loss_dice: 1.2768, decode.d8.loss_cls: 1.4035, decode.d8.loss_mask: 0.9176, decode.d8.loss_dice: 1.2740, loss: 39.9910 2022-06-21 15:18:26,529 - mmseg - INFO - Iter [10150/40000] lr: 1.149e-05, eta: 4:26:45, time: 0.618, data_time: 0.059, memory: 40943, decode.loss_cls: 1.3744, decode.loss_mask: 0.8740, decode.loss_dice: 1.2688, decode.d0.loss_cls: 4.3194, decode.d0.loss_mask: 0.9055, decode.d0.loss_dice: 1.4749, decode.d1.loss_cls: 1.8082, decode.d1.loss_mask: 0.8989, decode.d1.loss_dice: 1.3257, decode.d2.loss_cls: 1.5461, decode.d2.loss_mask: 0.8773, decode.d2.loss_dice: 1.2784, decode.d3.loss_cls: 1.4559, decode.d3.loss_mask: 0.8747, decode.d3.loss_dice: 1.2617, decode.d4.loss_cls: 1.4223, decode.d4.loss_mask: 0.8762, decode.d4.loss_dice: 1.2727, decode.d5.loss_cls: 1.4051, decode.d5.loss_mask: 0.8752, decode.d5.loss_dice: 1.2644, decode.d6.loss_cls: 1.3829, decode.d6.loss_mask: 0.8757, decode.d6.loss_dice: 1.2628, decode.d7.loss_cls: 1.3853, decode.d7.loss_mask: 0.8727, decode.d7.loss_dice: 1.2672, decode.d8.loss_cls: 1.3715, decode.d8.loss_mask: 0.8755, decode.d8.loss_dice: 1.2640, loss: 39.2172 2022-06-21 15:18:55,557 - mmseg - INFO - Iter [10200/40000] lr: 1.147e-05, eta: 4:26:25, time: 0.580, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3663, decode.loss_mask: 0.8906, decode.loss_dice: 1.2501, decode.d0.loss_cls: 4.3288, decode.d0.loss_mask: 0.9173, decode.d0.loss_dice: 1.4723, decode.d1.loss_cls: 1.8193, decode.d1.loss_mask: 0.9124, decode.d1.loss_dice: 1.3124, decode.d2.loss_cls: 1.5492, decode.d2.loss_mask: 0.8963, decode.d2.loss_dice: 1.2685, decode.d3.loss_cls: 1.4478, decode.d3.loss_mask: 0.8946, decode.d3.loss_dice: 1.2554, decode.d4.loss_cls: 1.4137, decode.d4.loss_mask: 0.8917, decode.d4.loss_dice: 1.2570, decode.d5.loss_cls: 1.3916, decode.d5.loss_mask: 0.8908, decode.d5.loss_dice: 1.2522, decode.d6.loss_cls: 1.3776, decode.d6.loss_mask: 0.8934, decode.d6.loss_dice: 1.2498, decode.d7.loss_cls: 1.3695, decode.d7.loss_mask: 0.8905, decode.d7.loss_dice: 1.2459, decode.d8.loss_cls: 1.3616, decode.d8.loss_mask: 0.8928, decode.d8.loss_dice: 1.2464, loss: 39.2060 2022-06-21 15:19:23,437 - mmseg - INFO - Iter [10250/40000] lr: 1.145e-05, eta: 4:26:01, time: 0.558, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3688, decode.loss_mask: 0.9253, decode.loss_dice: 1.2381, decode.d0.loss_cls: 4.2542, decode.d0.loss_mask: 0.9517, decode.d0.loss_dice: 1.4419, decode.d1.loss_cls: 1.7850, decode.d1.loss_mask: 0.9519, decode.d1.loss_dice: 1.3015, decode.d2.loss_cls: 1.5399, decode.d2.loss_mask: 0.9229, decode.d2.loss_dice: 1.2539, decode.d3.loss_cls: 1.4427, decode.d3.loss_mask: 0.9255, decode.d3.loss_dice: 1.2342, decode.d4.loss_cls: 1.4094, decode.d4.loss_mask: 0.9257, decode.d4.loss_dice: 1.2403, decode.d5.loss_cls: 1.4006, decode.d5.loss_mask: 0.9275, decode.d5.loss_dice: 1.2351, decode.d6.loss_cls: 1.3815, decode.d6.loss_mask: 0.9304, decode.d6.loss_dice: 1.2357, decode.d7.loss_cls: 1.3766, decode.d7.loss_mask: 0.9260, decode.d7.loss_dice: 1.2384, decode.d8.loss_cls: 1.3659, decode.d8.loss_mask: 0.9230, decode.d8.loss_dice: 1.2415, loss: 39.2950 2022-06-21 15:19:51,151 - mmseg - INFO - Iter [10300/40000] lr: 1.144e-05, eta: 4:25:37, time: 0.554, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3437, decode.loss_mask: 0.8819, decode.loss_dice: 1.2506, decode.d0.loss_cls: 4.2595, decode.d0.loss_mask: 0.9123, decode.d0.loss_dice: 1.4611, decode.d1.loss_cls: 1.7792, decode.d1.loss_mask: 0.9044, decode.d1.loss_dice: 1.3051, decode.d2.loss_cls: 1.5090, decode.d2.loss_mask: 0.8895, decode.d2.loss_dice: 1.2665, decode.d3.loss_cls: 1.4253, decode.d3.loss_mask: 0.8896, decode.d3.loss_dice: 1.2408, decode.d4.loss_cls: 1.3858, decode.d4.loss_mask: 0.8894, decode.d4.loss_dice: 1.2556, decode.d5.loss_cls: 1.3682, decode.d5.loss_mask: 0.8839, decode.d5.loss_dice: 1.2444, decode.d6.loss_cls: 1.3521, decode.d6.loss_mask: 0.8881, decode.d6.loss_dice: 1.2424, decode.d7.loss_cls: 1.3452, decode.d7.loss_mask: 0.8888, decode.d7.loss_dice: 1.2495, decode.d8.loss_cls: 1.3378, decode.d8.loss_mask: 0.8828, decode.d8.loss_dice: 1.2463, loss: 38.7787 2022-06-21 15:20:19,878 - mmseg - INFO - Iter [10350/40000] lr: 1.142e-05, eta: 4:25:16, time: 0.574, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3219, decode.loss_mask: 0.8933, decode.loss_dice: 1.2878, decode.d0.loss_cls: 4.2446, decode.d0.loss_mask: 0.9106, decode.d0.loss_dice: 1.4880, decode.d1.loss_cls: 1.7763, decode.d1.loss_mask: 0.9115, decode.d1.loss_dice: 1.3433, decode.d2.loss_cls: 1.5114, decode.d2.loss_mask: 0.8957, decode.d2.loss_dice: 1.3003, decode.d3.loss_cls: 1.4224, decode.d3.loss_mask: 0.8965, decode.d3.loss_dice: 1.2882, decode.d4.loss_cls: 1.3728, decode.d4.loss_mask: 0.8991, decode.d4.loss_dice: 1.2935, decode.d5.loss_cls: 1.3565, decode.d5.loss_mask: 0.8897, decode.d5.loss_dice: 1.2877, decode.d6.loss_cls: 1.3359, decode.d6.loss_mask: 0.8900, decode.d6.loss_dice: 1.2844, decode.d7.loss_cls: 1.3324, decode.d7.loss_mask: 0.8926, decode.d7.loss_dice: 1.2884, decode.d8.loss_cls: 1.3191, decode.d8.loss_mask: 0.8923, decode.d8.loss_dice: 1.2851, loss: 39.1114 2022-06-21 15:20:47,920 - mmseg - INFO - Iter [10400/40000] lr: 1.140e-05, eta: 4:24:52, time: 0.562, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3562, decode.loss_mask: 0.9047, decode.loss_dice: 1.2763, decode.d0.loss_cls: 4.2237, decode.d0.loss_mask: 0.9277, decode.d0.loss_dice: 1.4675, decode.d1.loss_cls: 1.7894, decode.d1.loss_mask: 0.9336, decode.d1.loss_dice: 1.3312, decode.d2.loss_cls: 1.5168, decode.d2.loss_mask: 0.9123, decode.d2.loss_dice: 1.2903, decode.d3.loss_cls: 1.4249, decode.d3.loss_mask: 0.9175, decode.d3.loss_dice: 1.2770, decode.d4.loss_cls: 1.3894, decode.d4.loss_mask: 0.9138, decode.d4.loss_dice: 1.2826, decode.d5.loss_cls: 1.3772, decode.d5.loss_mask: 0.9131, decode.d5.loss_dice: 1.2785, decode.d6.loss_cls: 1.3663, decode.d6.loss_mask: 0.9135, decode.d6.loss_dice: 1.2743, decode.d7.loss_cls: 1.3556, decode.d7.loss_mask: 0.9123, decode.d7.loss_dice: 1.2752, decode.d8.loss_cls: 1.3513, decode.d8.loss_mask: 0.9121, decode.d8.loss_dice: 1.2748, loss: 39.3389 2022-06-21 15:21:16,334 - mmseg - INFO - Iter [10450/40000] lr: 1.138e-05, eta: 4:24:30, time: 0.568, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3428, decode.loss_mask: 0.8954, decode.loss_dice: 1.2624, decode.d0.loss_cls: 4.2083, decode.d0.loss_mask: 0.9183, decode.d0.loss_dice: 1.4757, decode.d1.loss_cls: 1.7788, decode.d1.loss_mask: 0.9139, decode.d1.loss_dice: 1.3328, decode.d2.loss_cls: 1.4956, decode.d2.loss_mask: 0.8944, decode.d2.loss_dice: 1.2869, decode.d3.loss_cls: 1.4172, decode.d3.loss_mask: 0.8965, decode.d3.loss_dice: 1.2715, decode.d4.loss_cls: 1.3850, decode.d4.loss_mask: 0.8926, decode.d4.loss_dice: 1.2696, decode.d5.loss_cls: 1.3682, decode.d5.loss_mask: 0.8890, decode.d5.loss_dice: 1.2703, decode.d6.loss_cls: 1.3528, decode.d6.loss_mask: 0.8957, decode.d6.loss_dice: 1.2603, decode.d7.loss_cls: 1.3439, decode.d7.loss_mask: 0.8926, decode.d7.loss_dice: 1.2635, decode.d8.loss_cls: 1.3385, decode.d8.loss_mask: 0.8932, decode.d8.loss_dice: 1.2646, loss: 38.9703 2022-06-21 15:21:44,678 - mmseg - INFO - Iter [10500/40000] lr: 1.136e-05, eta: 4:24:07, time: 0.567, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3719, decode.loss_mask: 0.8897, decode.loss_dice: 1.2887, decode.d0.loss_cls: 4.2046, decode.d0.loss_mask: 0.9089, decode.d0.loss_dice: 1.4883, decode.d1.loss_cls: 1.7742, decode.d1.loss_mask: 0.9100, decode.d1.loss_dice: 1.3556, decode.d2.loss_cls: 1.5333, decode.d2.loss_mask: 0.8887, decode.d2.loss_dice: 1.3157, decode.d3.loss_cls: 1.4424, decode.d3.loss_mask: 0.8894, decode.d3.loss_dice: 1.3013, decode.d4.loss_cls: 1.4153, decode.d4.loss_mask: 0.8957, decode.d4.loss_dice: 1.3044, decode.d5.loss_cls: 1.3989, decode.d5.loss_mask: 0.8936, decode.d5.loss_dice: 1.2960, decode.d6.loss_cls: 1.3891, decode.d6.loss_mask: 0.8929, decode.d6.loss_dice: 1.2799, decode.d7.loss_cls: 1.3861, decode.d7.loss_mask: 0.8943, decode.d7.loss_dice: 1.2888, decode.d8.loss_cls: 1.3828, decode.d8.loss_mask: 0.8902, decode.d8.loss_dice: 1.2929, loss: 39.4635 2022-06-21 15:22:14,515 - mmseg - INFO - Iter [10550/40000] lr: 1.134e-05, eta: 4:23:49, time: 0.597, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3452, decode.loss_mask: 0.8971, decode.loss_dice: 1.2302, decode.d0.loss_cls: 4.1907, decode.d0.loss_mask: 0.9181, decode.d0.loss_dice: 1.4406, decode.d1.loss_cls: 1.7780, decode.d1.loss_mask: 0.9190, decode.d1.loss_dice: 1.2885, decode.d2.loss_cls: 1.5064, decode.d2.loss_mask: 0.8957, decode.d2.loss_dice: 1.2462, decode.d3.loss_cls: 1.4249, decode.d3.loss_mask: 0.8926, decode.d3.loss_dice: 1.2358, decode.d4.loss_cls: 1.3873, decode.d4.loss_mask: 0.8960, decode.d4.loss_dice: 1.2381, decode.d5.loss_cls: 1.3658, decode.d5.loss_mask: 0.8985, decode.d5.loss_dice: 1.2328, decode.d6.loss_cls: 1.3540, decode.d6.loss_mask: 0.8949, decode.d6.loss_dice: 1.2235, decode.d7.loss_cls: 1.3355, decode.d7.loss_mask: 0.8985, decode.d7.loss_dice: 1.2249, decode.d8.loss_cls: 1.3425, decode.d8.loss_mask: 0.9002, decode.d8.loss_dice: 1.2254, loss: 38.6270 2022-06-21 15:22:44,765 - mmseg - INFO - Iter [10600/40000] lr: 1.132e-05, eta: 4:23:31, time: 0.604, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3603, decode.loss_mask: 0.9186, decode.loss_dice: 1.2521, decode.d0.loss_cls: 4.1500, decode.d0.loss_mask: 0.9434, decode.d0.loss_dice: 1.4521, decode.d1.loss_cls: 1.7762, decode.d1.loss_mask: 0.9419, decode.d1.loss_dice: 1.3146, decode.d2.loss_cls: 1.5246, decode.d2.loss_mask: 0.9292, decode.d2.loss_dice: 1.2630, decode.d3.loss_cls: 1.4411, decode.d3.loss_mask: 0.9273, decode.d3.loss_dice: 1.2518, decode.d4.loss_cls: 1.4051, decode.d4.loss_mask: 0.9263, decode.d4.loss_dice: 1.2574, decode.d5.loss_cls: 1.3900, decode.d5.loss_mask: 0.9190, decode.d5.loss_dice: 1.2578, decode.d6.loss_cls: 1.3680, decode.d6.loss_mask: 0.9210, decode.d6.loss_dice: 1.2548, decode.d7.loss_cls: 1.3629, decode.d7.loss_mask: 0.9228, decode.d7.loss_dice: 1.2530, decode.d8.loss_cls: 1.3610, decode.d8.loss_mask: 0.9184, decode.d8.loss_dice: 1.2561, loss: 39.2195 2022-06-21 15:23:14,247 - mmseg - INFO - Iter [10650/40000] lr: 1.130e-05, eta: 4:23:11, time: 0.590, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3522, decode.loss_mask: 0.9333, decode.loss_dice: 1.2669, decode.d0.loss_cls: 4.1436, decode.d0.loss_mask: 0.9526, decode.d0.loss_dice: 1.4622, decode.d1.loss_cls: 1.7600, decode.d1.loss_mask: 0.9494, decode.d1.loss_dice: 1.3223, decode.d2.loss_cls: 1.5066, decode.d2.loss_mask: 0.9308, decode.d2.loss_dice: 1.2744, decode.d3.loss_cls: 1.4234, decode.d3.loss_mask: 0.9327, decode.d3.loss_dice: 1.2572, decode.d4.loss_cls: 1.3859, decode.d4.loss_mask: 0.9300, decode.d4.loss_dice: 1.2616, decode.d5.loss_cls: 1.3812, decode.d5.loss_mask: 0.9309, decode.d5.loss_dice: 1.2653, decode.d6.loss_cls: 1.3614, decode.d6.loss_mask: 0.9367, decode.d6.loss_dice: 1.2552, decode.d7.loss_cls: 1.3571, decode.d7.loss_mask: 0.9374, decode.d7.loss_dice: 1.2475, decode.d8.loss_cls: 1.3512, decode.d8.loss_mask: 0.9345, decode.d8.loss_dice: 1.2574, loss: 39.2606 2022-06-21 15:23:46,401 - mmseg - INFO - Iter [10700/40000] lr: 1.128e-05, eta: 4:22:59, time: 0.643, data_time: 0.063, memory: 40943, decode.loss_cls: 1.3708, decode.loss_mask: 0.9334, decode.loss_dice: 1.2639, decode.d0.loss_cls: 4.1358, decode.d0.loss_mask: 0.9566, decode.d0.loss_dice: 1.4708, decode.d1.loss_cls: 1.7804, decode.d1.loss_mask: 0.9506, decode.d1.loss_dice: 1.3267, decode.d2.loss_cls: 1.5158, decode.d2.loss_mask: 0.9330, decode.d2.loss_dice: 1.2811, decode.d3.loss_cls: 1.4545, decode.d3.loss_mask: 0.9319, decode.d3.loss_dice: 1.2669, decode.d4.loss_cls: 1.4086, decode.d4.loss_mask: 0.9388, decode.d4.loss_dice: 1.2720, decode.d5.loss_cls: 1.4016, decode.d5.loss_mask: 0.9346, decode.d5.loss_dice: 1.2657, decode.d6.loss_cls: 1.3734, decode.d6.loss_mask: 0.9348, decode.d6.loss_dice: 1.2601, decode.d7.loss_cls: 1.3740, decode.d7.loss_mask: 0.9336, decode.d7.loss_dice: 1.2607, decode.d8.loss_cls: 1.3664, decode.d8.loss_mask: 0.9344, decode.d8.loss_dice: 1.2674, loss: 39.4980 2022-06-21 15:24:16,255 - mmseg - INFO - Iter [10750/40000] lr: 1.126e-05, eta: 4:22:40, time: 0.597, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3266, decode.loss_mask: 0.8814, decode.loss_dice: 1.2693, decode.d0.loss_cls: 4.1425, decode.d0.loss_mask: 0.9211, decode.d0.loss_dice: 1.4893, decode.d1.loss_cls: 1.7632, decode.d1.loss_mask: 0.9112, decode.d1.loss_dice: 1.3378, decode.d2.loss_cls: 1.4936, decode.d2.loss_mask: 0.8860, decode.d2.loss_dice: 1.2797, decode.d3.loss_cls: 1.4035, decode.d3.loss_mask: 0.8860, decode.d3.loss_dice: 1.2659, decode.d4.loss_cls: 1.3757, decode.d4.loss_mask: 0.8858, decode.d4.loss_dice: 1.2701, decode.d5.loss_cls: 1.3505, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.2688, decode.d6.loss_cls: 1.3461, decode.d6.loss_mask: 0.8815, decode.d6.loss_dice: 1.2597, decode.d7.loss_cls: 1.3148, decode.d7.loss_mask: 0.8817, decode.d7.loss_dice: 1.2699, decode.d8.loss_cls: 1.3201, decode.d8.loss_mask: 0.8806, decode.d8.loss_dice: 1.2713, loss: 38.7186 2022-06-21 15:24:45,885 - mmseg - INFO - Iter [10800/40000] lr: 1.124e-05, eta: 4:22:20, time: 0.593, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3617, decode.loss_mask: 0.8708, decode.loss_dice: 1.2725, decode.d0.loss_cls: 4.1877, decode.d0.loss_mask: 0.9033, decode.d0.loss_dice: 1.4887, decode.d1.loss_cls: 1.8008, decode.d1.loss_mask: 0.8985, decode.d1.loss_dice: 1.3369, decode.d2.loss_cls: 1.5212, decode.d2.loss_mask: 0.8820, decode.d2.loss_dice: 1.2870, decode.d3.loss_cls: 1.4372, decode.d3.loss_mask: 0.8757, decode.d3.loss_dice: 1.2685, decode.d4.loss_cls: 1.4074, decode.d4.loss_mask: 0.8724, decode.d4.loss_dice: 1.2757, decode.d5.loss_cls: 1.3887, decode.d5.loss_mask: 0.8701, decode.d5.loss_dice: 1.2651, decode.d6.loss_cls: 1.3737, decode.d6.loss_mask: 0.8665, decode.d6.loss_dice: 1.2560, decode.d7.loss_cls: 1.3666, decode.d7.loss_mask: 0.8683, decode.d7.loss_dice: 1.2647, decode.d8.loss_cls: 1.3599, decode.d8.loss_mask: 0.8707, decode.d8.loss_dice: 1.2627, loss: 38.9613 2022-06-21 15:25:15,372 - mmseg - INFO - Iter [10850/40000] lr: 1.122e-05, eta: 4:22:00, time: 0.590, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3050, decode.loss_mask: 0.8950, decode.loss_dice: 1.2364, decode.d0.loss_cls: 4.0909, decode.d0.loss_mask: 0.9134, decode.d0.loss_dice: 1.4558, decode.d1.loss_cls: 1.7425, decode.d1.loss_mask: 0.9151, decode.d1.loss_dice: 1.3063, decode.d2.loss_cls: 1.4705, decode.d2.loss_mask: 0.8941, decode.d2.loss_dice: 1.2529, decode.d3.loss_cls: 1.3798, decode.d3.loss_mask: 0.8917, decode.d3.loss_dice: 1.2365, decode.d4.loss_cls: 1.3434, decode.d4.loss_mask: 0.8923, decode.d4.loss_dice: 1.2419, decode.d5.loss_cls: 1.3283, decode.d5.loss_mask: 0.8941, decode.d5.loss_dice: 1.2416, decode.d6.loss_cls: 1.2988, decode.d6.loss_mask: 0.8919, decode.d6.loss_dice: 1.2357, decode.d7.loss_cls: 1.2954, decode.d7.loss_mask: 0.8935, decode.d7.loss_dice: 1.2415, decode.d8.loss_cls: 1.3011, decode.d8.loss_mask: 0.8926, decode.d8.loss_dice: 1.2433, loss: 38.2213 2022-06-21 15:25:47,298 - mmseg - INFO - Iter [10900/40000] lr: 1.120e-05, eta: 4:21:46, time: 0.638, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3657, decode.loss_mask: 0.8756, decode.loss_dice: 1.2504, decode.d0.loss_cls: 4.1497, decode.d0.loss_mask: 0.9066, decode.d0.loss_dice: 1.4755, decode.d1.loss_cls: 1.8098, decode.d1.loss_mask: 0.9024, decode.d1.loss_dice: 1.3169, decode.d2.loss_cls: 1.5335, decode.d2.loss_mask: 0.8866, decode.d2.loss_dice: 1.2701, decode.d3.loss_cls: 1.4498, decode.d3.loss_mask: 0.8826, decode.d3.loss_dice: 1.2518, decode.d4.loss_cls: 1.4126, decode.d4.loss_mask: 0.8812, decode.d4.loss_dice: 1.2572, decode.d5.loss_cls: 1.3893, decode.d5.loss_mask: 0.8825, decode.d5.loss_dice: 1.2543, decode.d6.loss_cls: 1.3785, decode.d6.loss_mask: 0.8802, decode.d6.loss_dice: 1.2486, decode.d7.loss_cls: 1.3792, decode.d7.loss_mask: 0.8729, decode.d7.loss_dice: 1.2492, decode.d8.loss_cls: 1.3610, decode.d8.loss_mask: 0.8793, decode.d8.loss_dice: 1.2492, loss: 38.9022 2022-06-21 15:26:18,628 - mmseg - INFO - Iter [10950/40000] lr: 1.118e-05, eta: 4:21:31, time: 0.627, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3175, decode.loss_mask: 0.8997, decode.loss_dice: 1.2478, decode.d0.loss_cls: 4.0667, decode.d0.loss_mask: 0.9209, decode.d0.loss_dice: 1.4542, decode.d1.loss_cls: 1.7219, decode.d1.loss_mask: 0.9163, decode.d1.loss_dice: 1.3109, decode.d2.loss_cls: 1.4729, decode.d2.loss_mask: 0.8962, decode.d2.loss_dice: 1.2624, decode.d3.loss_cls: 1.3888, decode.d3.loss_mask: 0.8985, decode.d3.loss_dice: 1.2500, decode.d4.loss_cls: 1.3577, decode.d4.loss_mask: 0.8999, decode.d4.loss_dice: 1.2554, decode.d5.loss_cls: 1.3426, decode.d5.loss_mask: 0.9049, decode.d5.loss_dice: 1.2525, decode.d6.loss_cls: 1.3317, decode.d6.loss_mask: 0.9014, decode.d6.loss_dice: 1.2419, decode.d7.loss_cls: 1.3174, decode.d7.loss_mask: 0.8983, decode.d7.loss_dice: 1.2481, decode.d8.loss_cls: 1.3110, decode.d8.loss_mask: 0.9034, decode.d8.loss_dice: 1.2538, loss: 38.4448 2022-06-21 15:26:49,930 - mmseg - INFO - Saving checkpoint at 11000 iterations 2022-06-21 15:26:57,589 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:26:57,589 - mmseg - INFO - Iter [11000/40000] lr: 1.117e-05, eta: 4:21:35, time: 0.779, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2158, decode.loss_mask: 0.9024, decode.loss_dice: 1.2151, decode.d0.loss_cls: 3.9460, decode.d0.loss_mask: 0.9264, decode.d0.loss_dice: 1.4113, decode.d1.loss_cls: 1.6328, decode.d1.loss_mask: 0.9111, decode.d1.loss_dice: 1.2716, decode.d2.loss_cls: 1.3788, decode.d2.loss_mask: 0.9033, decode.d2.loss_dice: 1.2266, decode.d3.loss_cls: 1.2946, decode.d3.loss_mask: 0.8980, decode.d3.loss_dice: 1.2089, decode.d4.loss_cls: 1.2649, decode.d4.loss_mask: 0.8962, decode.d4.loss_dice: 1.2234, decode.d5.loss_cls: 1.2473, decode.d5.loss_mask: 0.8949, decode.d5.loss_dice: 1.2120, decode.d6.loss_cls: 1.2282, decode.d6.loss_mask: 0.8972, decode.d6.loss_dice: 1.2073, decode.d7.loss_cls: 1.2239, decode.d7.loss_mask: 0.8981, decode.d7.loss_dice: 1.2080, decode.d8.loss_cls: 1.2203, decode.d8.loss_mask: 0.8955, decode.d8.loss_dice: 1.2084, loss: 37.0683 2022-06-21 15:27:28,997 - mmseg - INFO - Iter [11050/40000] lr: 1.115e-05, eta: 4:21:20, time: 0.628, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3282, decode.loss_mask: 0.8903, decode.loss_dice: 1.2443, decode.d0.loss_cls: 4.0293, decode.d0.loss_mask: 0.9054, decode.d0.loss_dice: 1.4590, decode.d1.loss_cls: 1.7306, decode.d1.loss_mask: 0.9207, decode.d1.loss_dice: 1.3202, decode.d2.loss_cls: 1.4912, decode.d2.loss_mask: 0.8977, decode.d2.loss_dice: 1.2703, decode.d3.loss_cls: 1.4165, decode.d3.loss_mask: 0.8892, decode.d3.loss_dice: 1.2530, decode.d4.loss_cls: 1.3809, decode.d4.loss_mask: 0.8863, decode.d4.loss_dice: 1.2586, decode.d5.loss_cls: 1.3617, decode.d5.loss_mask: 0.8863, decode.d5.loss_dice: 1.2540, decode.d6.loss_cls: 1.3361, decode.d6.loss_mask: 0.8879, decode.d6.loss_dice: 1.2489, decode.d7.loss_cls: 1.3277, decode.d7.loss_mask: 0.8882, decode.d7.loss_dice: 1.2498, decode.d8.loss_cls: 1.3232, decode.d8.loss_mask: 0.8905, decode.d8.loss_dice: 1.2469, loss: 38.4731 2022-06-21 15:28:00,153 - mmseg - INFO - Iter [11100/40000] lr: 1.113e-05, eta: 4:21:03, time: 0.623, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3561, decode.loss_mask: 0.8973, decode.loss_dice: 1.2700, decode.d0.loss_cls: 4.0286, decode.d0.loss_mask: 0.9194, decode.d0.loss_dice: 1.4715, decode.d1.loss_cls: 1.7576, decode.d1.loss_mask: 0.9174, decode.d1.loss_dice: 1.3360, decode.d2.loss_cls: 1.5166, decode.d2.loss_mask: 0.8974, decode.d2.loss_dice: 1.2855, decode.d3.loss_cls: 1.4370, decode.d3.loss_mask: 0.8977, decode.d3.loss_dice: 1.2711, decode.d4.loss_cls: 1.4070, decode.d4.loss_mask: 0.8975, decode.d4.loss_dice: 1.2742, decode.d5.loss_cls: 1.3887, decode.d5.loss_mask: 0.8887, decode.d5.loss_dice: 1.2686, decode.d6.loss_cls: 1.3725, decode.d6.loss_mask: 0.8979, decode.d6.loss_dice: 1.2663, decode.d7.loss_cls: 1.3690, decode.d7.loss_mask: 0.8938, decode.d7.loss_dice: 1.2706, decode.d8.loss_cls: 1.3648, decode.d8.loss_mask: 0.8927, decode.d8.loss_dice: 1.2652, loss: 38.9767 2022-06-21 15:28:30,091 - mmseg - INFO - Iter [11150/40000] lr: 1.111e-05, eta: 4:20:43, time: 0.598, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3518, decode.loss_mask: 0.9178, decode.loss_dice: 1.2385, decode.d0.loss_cls: 4.0339, decode.d0.loss_mask: 0.9332, decode.d0.loss_dice: 1.4486, decode.d1.loss_cls: 1.7512, decode.d1.loss_mask: 0.9346, decode.d1.loss_dice: 1.3033, decode.d2.loss_cls: 1.5043, decode.d2.loss_mask: 0.9128, decode.d2.loss_dice: 1.2638, decode.d3.loss_cls: 1.4156, decode.d3.loss_mask: 0.9084, decode.d3.loss_dice: 1.2446, decode.d4.loss_cls: 1.3917, decode.d4.loss_mask: 0.9067, decode.d4.loss_dice: 1.2482, decode.d5.loss_cls: 1.3780, decode.d5.loss_mask: 0.9051, decode.d5.loss_dice: 1.2404, decode.d6.loss_cls: 1.3593, decode.d6.loss_mask: 0.9126, decode.d6.loss_dice: 1.2394, decode.d7.loss_cls: 1.3597, decode.d7.loss_mask: 0.9072, decode.d7.loss_dice: 1.2346, decode.d8.loss_cls: 1.3538, decode.d8.loss_mask: 0.9065, decode.d8.loss_dice: 1.2368, loss: 38.7425 2022-06-21 15:28:59,909 - mmseg - INFO - Iter [11200/40000] lr: 1.109e-05, eta: 4:20:23, time: 0.598, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3543, decode.loss_mask: 0.8856, decode.loss_dice: 1.2779, decode.d0.loss_cls: 3.9874, decode.d0.loss_mask: 0.9091, decode.d0.loss_dice: 1.4829, decode.d1.loss_cls: 1.7410, decode.d1.loss_mask: 0.9171, decode.d1.loss_dice: 1.3542, decode.d2.loss_cls: 1.5015, decode.d2.loss_mask: 0.8969, decode.d2.loss_dice: 1.2943, decode.d3.loss_cls: 1.4174, decode.d3.loss_mask: 0.8971, decode.d3.loss_dice: 1.2867, decode.d4.loss_cls: 1.3897, decode.d4.loss_mask: 0.8916, decode.d4.loss_dice: 1.2918, decode.d5.loss_cls: 1.3743, decode.d5.loss_mask: 0.8862, decode.d5.loss_dice: 1.2801, decode.d6.loss_cls: 1.3647, decode.d6.loss_mask: 0.8912, decode.d6.loss_dice: 1.2755, decode.d7.loss_cls: 1.3527, decode.d7.loss_mask: 0.8900, decode.d7.loss_dice: 1.2829, decode.d8.loss_cls: 1.3497, decode.d8.loss_mask: 0.8906, decode.d8.loss_dice: 1.2794, loss: 38.8937 2022-06-21 15:29:31,237 - mmseg - INFO - Iter [11250/40000] lr: 1.107e-05, eta: 4:20:07, time: 0.627, data_time: 0.060, memory: 40943, decode.loss_cls: 1.2856, decode.loss_mask: 0.8857, decode.loss_dice: 1.2739, decode.d0.loss_cls: 4.0316, decode.d0.loss_mask: 0.9000, decode.d0.loss_dice: 1.4745, decode.d1.loss_cls: 1.7316, decode.d1.loss_mask: 0.9102, decode.d1.loss_dice: 1.3216, decode.d2.loss_cls: 1.4763, decode.d2.loss_mask: 0.8951, decode.d2.loss_dice: 1.2792, decode.d3.loss_cls: 1.3951, decode.d3.loss_mask: 0.8957, decode.d3.loss_dice: 1.2639, decode.d4.loss_cls: 1.3436, decode.d4.loss_mask: 0.8964, decode.d4.loss_dice: 1.2703, decode.d5.loss_cls: 1.3249, decode.d5.loss_mask: 0.8892, decode.d5.loss_dice: 1.2684, decode.d6.loss_cls: 1.3101, decode.d6.loss_mask: 0.8889, decode.d6.loss_dice: 1.2686, decode.d7.loss_cls: 1.3006, decode.d7.loss_mask: 0.8824, decode.d7.loss_dice: 1.2704, decode.d8.loss_cls: 1.2889, decode.d8.loss_mask: 0.8857, decode.d8.loss_dice: 1.2689, loss: 38.3776 2022-06-21 15:29:59,294 - mmseg - INFO - Iter [11300/40000] lr: 1.105e-05, eta: 4:19:42, time: 0.561, data_time: 0.009, memory: 40943, decode.loss_cls: 1.3552, decode.loss_mask: 0.8767, decode.loss_dice: 1.2665, decode.d0.loss_cls: 4.0414, decode.d0.loss_mask: 0.9071, decode.d0.loss_dice: 1.4790, decode.d1.loss_cls: 1.7610, decode.d1.loss_mask: 0.8994, decode.d1.loss_dice: 1.3357, decode.d2.loss_cls: 1.5264, decode.d2.loss_mask: 0.8722, decode.d2.loss_dice: 1.2803, decode.d3.loss_cls: 1.4344, decode.d3.loss_mask: 0.8766, decode.d3.loss_dice: 1.2761, decode.d4.loss_cls: 1.4051, decode.d4.loss_mask: 0.8782, decode.d4.loss_dice: 1.2744, decode.d5.loss_cls: 1.3718, decode.d5.loss_mask: 0.8784, decode.d5.loss_dice: 1.2726, decode.d6.loss_cls: 1.3631, decode.d6.loss_mask: 0.8833, decode.d6.loss_dice: 1.2724, decode.d7.loss_cls: 1.3566, decode.d7.loss_mask: 0.8774, decode.d7.loss_dice: 1.2695, decode.d8.loss_cls: 1.3540, decode.d8.loss_mask: 0.8766, decode.d8.loss_dice: 1.2736, loss: 38.7947 2022-06-21 15:30:26,944 - mmseg - INFO - Iter [11350/40000] lr: 1.103e-05, eta: 4:19:16, time: 0.553, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3071, decode.loss_mask: 0.8800, decode.loss_dice: 1.2291, decode.d0.loss_cls: 3.9768, decode.d0.loss_mask: 0.8998, decode.d0.loss_dice: 1.4285, decode.d1.loss_cls: 1.7203, decode.d1.loss_mask: 0.9001, decode.d1.loss_dice: 1.3033, decode.d2.loss_cls: 1.4622, decode.d2.loss_mask: 0.8826, decode.d2.loss_dice: 1.2472, decode.d3.loss_cls: 1.3730, decode.d3.loss_mask: 0.8824, decode.d3.loss_dice: 1.2366, decode.d4.loss_cls: 1.3521, decode.d4.loss_mask: 0.8810, decode.d4.loss_dice: 1.2365, decode.d5.loss_cls: 1.3233, decode.d5.loss_mask: 0.8807, decode.d5.loss_dice: 1.2326, decode.d6.loss_cls: 1.3145, decode.d6.loss_mask: 0.8826, decode.d6.loss_dice: 1.2253, decode.d7.loss_cls: 1.3125, decode.d7.loss_mask: 0.8829, decode.d7.loss_dice: 1.2313, decode.d8.loss_cls: 1.3110, decode.d8.loss_mask: 0.8851, decode.d8.loss_dice: 1.2266, loss: 37.9069 2022-06-21 15:30:56,981 - mmseg - INFO - Iter [11400/40000] lr: 1.101e-05, eta: 4:18:56, time: 0.601, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3222, decode.loss_mask: 0.8603, decode.loss_dice: 1.2873, decode.d0.loss_cls: 4.0062, decode.d0.loss_mask: 0.8911, decode.d0.loss_dice: 1.5024, decode.d1.loss_cls: 1.7503, decode.d1.loss_mask: 0.8860, decode.d1.loss_dice: 1.3577, decode.d2.loss_cls: 1.4877, decode.d2.loss_mask: 0.8713, decode.d2.loss_dice: 1.3055, decode.d3.loss_cls: 1.3989, decode.d3.loss_mask: 0.8715, decode.d3.loss_dice: 1.2897, decode.d4.loss_cls: 1.3653, decode.d4.loss_mask: 0.8641, decode.d4.loss_dice: 1.2905, decode.d5.loss_cls: 1.3464, decode.d5.loss_mask: 0.8657, decode.d5.loss_dice: 1.2835, decode.d6.loss_cls: 1.3245, decode.d6.loss_mask: 0.8672, decode.d6.loss_dice: 1.2784, decode.d7.loss_cls: 1.3204, decode.d7.loss_mask: 0.8658, decode.d7.loss_dice: 1.2852, decode.d8.loss_cls: 1.3211, decode.d8.loss_mask: 0.8622, decode.d8.loss_dice: 1.2798, loss: 38.5083 2022-06-21 15:31:27,763 - mmseg - INFO - Iter [11450/40000] lr: 1.099e-05, eta: 4:18:38, time: 0.616, data_time: 0.011, memory: 40943, decode.loss_cls: 1.2770, decode.loss_mask: 0.8876, decode.loss_dice: 1.2396, decode.d0.loss_cls: 3.9196, decode.d0.loss_mask: 0.9171, decode.d0.loss_dice: 1.4283, decode.d1.loss_cls: 1.6738, decode.d1.loss_mask: 0.9167, decode.d1.loss_dice: 1.2958, decode.d2.loss_cls: 1.4312, decode.d2.loss_mask: 0.8905, decode.d2.loss_dice: 1.2504, decode.d3.loss_cls: 1.3549, decode.d3.loss_mask: 0.8859, decode.d3.loss_dice: 1.2360, decode.d4.loss_cls: 1.3218, decode.d4.loss_mask: 0.8902, decode.d4.loss_dice: 1.2410, decode.d5.loss_cls: 1.3032, decode.d5.loss_mask: 0.8857, decode.d5.loss_dice: 1.2372, decode.d6.loss_cls: 1.2930, decode.d6.loss_mask: 0.8905, decode.d6.loss_dice: 1.2304, decode.d7.loss_cls: 1.2823, decode.d7.loss_mask: 0.8944, decode.d7.loss_dice: 1.2444, decode.d8.loss_cls: 1.2806, decode.d8.loss_mask: 0.8910, decode.d8.loss_dice: 1.2418, loss: 37.7318 2022-06-21 15:31:57,539 - mmseg - INFO - Iter [11500/40000] lr: 1.097e-05, eta: 4:18:17, time: 0.596, data_time: 0.011, memory: 40943, decode.loss_cls: 1.2824, decode.loss_mask: 0.8947, decode.loss_dice: 1.2356, decode.d0.loss_cls: 3.9173, decode.d0.loss_mask: 0.9185, decode.d0.loss_dice: 1.4295, decode.d1.loss_cls: 1.6807, decode.d1.loss_mask: 0.9189, decode.d1.loss_dice: 1.3022, decode.d2.loss_cls: 1.4221, decode.d2.loss_mask: 0.8939, decode.d2.loss_dice: 1.2489, decode.d3.loss_cls: 1.3531, decode.d3.loss_mask: 0.8865, decode.d3.loss_dice: 1.2362, decode.d4.loss_cls: 1.3191, decode.d4.loss_mask: 0.8920, decode.d4.loss_dice: 1.2433, decode.d5.loss_cls: 1.3009, decode.d5.loss_mask: 0.8833, decode.d5.loss_dice: 1.2371, decode.d6.loss_cls: 1.2882, decode.d6.loss_mask: 0.8848, decode.d6.loss_dice: 1.2340, decode.d7.loss_cls: 1.2885, decode.d7.loss_mask: 0.8871, decode.d7.loss_dice: 1.2365, decode.d8.loss_cls: 1.2744, decode.d8.loss_mask: 0.8903, decode.d8.loss_dice: 1.2366, loss: 37.7167 2022-06-21 15:32:25,590 - mmseg - INFO - Iter [11550/40000] lr: 1.095e-05, eta: 4:17:52, time: 0.561, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3131, decode.loss_mask: 0.8757, decode.loss_dice: 1.2420, decode.d0.loss_cls: 3.9950, decode.d0.loss_mask: 0.8873, decode.d0.loss_dice: 1.4540, decode.d1.loss_cls: 1.7377, decode.d1.loss_mask: 0.8986, decode.d1.loss_dice: 1.3094, decode.d2.loss_cls: 1.4784, decode.d2.loss_mask: 0.8787, decode.d2.loss_dice: 1.2602, decode.d3.loss_cls: 1.3833, decode.d3.loss_mask: 0.8753, decode.d3.loss_dice: 1.2447, decode.d4.loss_cls: 1.3420, decode.d4.loss_mask: 0.8732, decode.d4.loss_dice: 1.2417, decode.d5.loss_cls: 1.3342, decode.d5.loss_mask: 0.8761, decode.d5.loss_dice: 1.2376, decode.d6.loss_cls: 1.3186, decode.d6.loss_mask: 0.8726, decode.d6.loss_dice: 1.2442, decode.d7.loss_cls: 1.3117, decode.d7.loss_mask: 0.8710, decode.d7.loss_dice: 1.2427, decode.d8.loss_cls: 1.3072, decode.d8.loss_mask: 0.8743, decode.d8.loss_dice: 1.2418, loss: 38.0224 2022-06-21 15:32:53,367 - mmseg - INFO - Iter [11600/40000] lr: 1.093e-05, eta: 4:17:27, time: 0.555, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2726, decode.loss_mask: 0.8837, decode.loss_dice: 1.2264, decode.d0.loss_cls: 3.9106, decode.d0.loss_mask: 0.9071, decode.d0.loss_dice: 1.4281, decode.d1.loss_cls: 1.6858, decode.d1.loss_mask: 0.9005, decode.d1.loss_dice: 1.2982, decode.d2.loss_cls: 1.4224, decode.d2.loss_mask: 0.8914, decode.d2.loss_dice: 1.2502, decode.d3.loss_cls: 1.3464, decode.d3.loss_mask: 0.8824, decode.d3.loss_dice: 1.2364, decode.d4.loss_cls: 1.3003, decode.d4.loss_mask: 0.8804, decode.d4.loss_dice: 1.2399, decode.d5.loss_cls: 1.2818, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.2341, decode.d6.loss_cls: 1.2773, decode.d6.loss_mask: 0.8877, decode.d6.loss_dice: 1.2242, decode.d7.loss_cls: 1.2685, decode.d7.loss_mask: 0.8870, decode.d7.loss_dice: 1.2329, decode.d8.loss_cls: 1.2686, decode.d8.loss_mask: 0.8835, decode.d8.loss_dice: 1.2360, loss: 37.5293 2022-06-21 15:33:21,485 - mmseg - INFO - Iter [11650/40000] lr: 1.092e-05, eta: 4:17:02, time: 0.562, data_time: 0.011, memory: 40943, decode.loss_cls: 1.2924, decode.loss_mask: 0.8694, decode.loss_dice: 1.2371, decode.d0.loss_cls: 3.8872, decode.d0.loss_mask: 0.8964, decode.d0.loss_dice: 1.4263, decode.d1.loss_cls: 1.6927, decode.d1.loss_mask: 0.8883, decode.d1.loss_dice: 1.2906, decode.d2.loss_cls: 1.4397, decode.d2.loss_mask: 0.8793, decode.d2.loss_dice: 1.2540, decode.d3.loss_cls: 1.3540, decode.d3.loss_mask: 0.8775, decode.d3.loss_dice: 1.2401, decode.d4.loss_cls: 1.3324, decode.d4.loss_mask: 0.8761, decode.d4.loss_dice: 1.2414, decode.d5.loss_cls: 1.3109, decode.d5.loss_mask: 0.8748, decode.d5.loss_dice: 1.2459, decode.d6.loss_cls: 1.3013, decode.d6.loss_mask: 0.8729, decode.d6.loss_dice: 1.2383, decode.d7.loss_cls: 1.2915, decode.d7.loss_mask: 0.8742, decode.d7.loss_dice: 1.2358, decode.d8.loss_cls: 1.2944, decode.d8.loss_mask: 0.8759, decode.d8.loss_dice: 1.2416, loss: 37.6326 2022-06-21 15:33:49,392 - mmseg - INFO - Iter [11700/40000] lr: 1.090e-05, eta: 4:16:36, time: 0.559, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2761, decode.loss_mask: 0.9263, decode.loss_dice: 1.2411, decode.d0.loss_cls: 3.8783, decode.d0.loss_mask: 0.9426, decode.d0.loss_dice: 1.4521, decode.d1.loss_cls: 1.6559, decode.d1.loss_mask: 0.9405, decode.d1.loss_dice: 1.3192, decode.d2.loss_cls: 1.4386, decode.d2.loss_mask: 0.9347, decode.d2.loss_dice: 1.2748, decode.d3.loss_cls: 1.3407, decode.d3.loss_mask: 0.9303, decode.d3.loss_dice: 1.2572, decode.d4.loss_cls: 1.3104, decode.d4.loss_mask: 0.9305, decode.d4.loss_dice: 1.2640, decode.d5.loss_cls: 1.2941, decode.d5.loss_mask: 0.9254, decode.d5.loss_dice: 1.2514, decode.d6.loss_cls: 1.2807, decode.d6.loss_mask: 0.9286, decode.d6.loss_dice: 1.2508, decode.d7.loss_cls: 1.2746, decode.d7.loss_mask: 0.9283, decode.d7.loss_dice: 1.2583, decode.d8.loss_cls: 1.2689, decode.d8.loss_mask: 0.9258, decode.d8.loss_dice: 1.2495, loss: 38.1496 2022-06-21 15:34:17,274 - mmseg - INFO - Iter [11750/40000] lr: 1.088e-05, eta: 4:16:11, time: 0.558, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2473, decode.loss_mask: 0.9032, decode.loss_dice: 1.2299, decode.d0.loss_cls: 3.8264, decode.d0.loss_mask: 0.9317, decode.d0.loss_dice: 1.4257, decode.d1.loss_cls: 1.6237, decode.d1.loss_mask: 0.9301, decode.d1.loss_dice: 1.2955, decode.d2.loss_cls: 1.4019, decode.d2.loss_mask: 0.9060, decode.d2.loss_dice: 1.2407, decode.d3.loss_cls: 1.3208, decode.d3.loss_mask: 0.9053, decode.d3.loss_dice: 1.2375, decode.d4.loss_cls: 1.2890, decode.d4.loss_mask: 0.9032, decode.d4.loss_dice: 1.2377, decode.d5.loss_cls: 1.2738, decode.d5.loss_mask: 0.9099, decode.d5.loss_dice: 1.2348, decode.d6.loss_cls: 1.2612, decode.d6.loss_mask: 0.9075, decode.d6.loss_dice: 1.2269, decode.d7.loss_cls: 1.2546, decode.d7.loss_mask: 0.9026, decode.d7.loss_dice: 1.2306, decode.d8.loss_cls: 1.2428, decode.d8.loss_mask: 0.9043, decode.d8.loss_dice: 1.2339, loss: 37.4385 2022-06-21 15:34:45,664 - mmseg - INFO - Iter [11800/40000] lr: 1.086e-05, eta: 4:15:46, time: 0.568, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2850, decode.loss_mask: 0.8939, decode.loss_dice: 1.2399, decode.d0.loss_cls: 3.8678, decode.d0.loss_mask: 0.9141, decode.d0.loss_dice: 1.4405, decode.d1.loss_cls: 1.6938, decode.d1.loss_mask: 0.9125, decode.d1.loss_dice: 1.3030, decode.d2.loss_cls: 1.4450, decode.d2.loss_mask: 0.8896, decode.d2.loss_dice: 1.2522, decode.d3.loss_cls: 1.3591, decode.d3.loss_mask: 0.8886, decode.d3.loss_dice: 1.2461, decode.d4.loss_cls: 1.3409, decode.d4.loss_mask: 0.8887, decode.d4.loss_dice: 1.2475, decode.d5.loss_cls: 1.3275, decode.d5.loss_mask: 0.8903, decode.d5.loss_dice: 1.2401, decode.d6.loss_cls: 1.3090, decode.d6.loss_mask: 0.8930, decode.d6.loss_dice: 1.2349, decode.d7.loss_cls: 1.3033, decode.d7.loss_mask: 0.8917, decode.d7.loss_dice: 1.2374, decode.d8.loss_cls: 1.2893, decode.d8.loss_mask: 0.8923, decode.d8.loss_dice: 1.2409, loss: 37.8578 2022-06-21 15:35:17,843 - mmseg - INFO - Iter [11850/40000] lr: 1.084e-05, eta: 4:15:31, time: 0.643, data_time: 0.058, memory: 40943, decode.loss_cls: 1.2901, decode.loss_mask: 0.8911, decode.loss_dice: 1.2376, decode.d0.loss_cls: 3.8509, decode.d0.loss_mask: 0.9134, decode.d0.loss_dice: 1.4489, decode.d1.loss_cls: 1.6810, decode.d1.loss_mask: 0.9146, decode.d1.loss_dice: 1.3243, decode.d2.loss_cls: 1.4401, decode.d2.loss_mask: 0.8986, decode.d2.loss_dice: 1.2755, decode.d3.loss_cls: 1.3660, decode.d3.loss_mask: 0.8897, decode.d3.loss_dice: 1.2491, decode.d4.loss_cls: 1.3472, decode.d4.loss_mask: 0.8861, decode.d4.loss_dice: 1.2439, decode.d5.loss_cls: 1.3137, decode.d5.loss_mask: 0.8871, decode.d5.loss_dice: 1.2459, decode.d6.loss_cls: 1.2995, decode.d6.loss_mask: 0.8896, decode.d6.loss_dice: 1.2428, decode.d7.loss_cls: 1.2994, decode.d7.loss_mask: 0.8889, decode.d7.loss_dice: 1.2431, decode.d8.loss_cls: 1.2821, decode.d8.loss_mask: 0.8870, decode.d8.loss_dice: 1.2418, loss: 37.8690 2022-06-21 15:35:47,633 - mmseg - INFO - Iter [11900/40000] lr: 1.082e-05, eta: 4:15:10, time: 0.595, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2902, decode.loss_mask: 0.8510, decode.loss_dice: 1.2394, decode.d0.loss_cls: 3.9205, decode.d0.loss_mask: 0.8810, decode.d0.loss_dice: 1.4420, decode.d1.loss_cls: 1.6988, decode.d1.loss_mask: 0.8831, decode.d1.loss_dice: 1.3043, decode.d2.loss_cls: 1.4447, decode.d2.loss_mask: 0.8598, decode.d2.loss_dice: 1.2566, decode.d3.loss_cls: 1.3554, decode.d3.loss_mask: 0.8616, decode.d3.loss_dice: 1.2454, decode.d4.loss_cls: 1.3305, decode.d4.loss_mask: 0.8601, decode.d4.loss_dice: 1.2406, decode.d5.loss_cls: 1.3111, decode.d5.loss_mask: 0.8571, decode.d5.loss_dice: 1.2407, decode.d6.loss_cls: 1.3029, decode.d6.loss_mask: 0.8548, decode.d6.loss_dice: 1.2392, decode.d7.loss_cls: 1.3007, decode.d7.loss_mask: 0.8517, decode.d7.loss_dice: 1.2408, decode.d8.loss_cls: 1.2864, decode.d8.loss_mask: 0.8548, decode.d8.loss_dice: 1.2384, loss: 37.5436 2022-06-21 15:36:16,763 - mmseg - INFO - Iter [11950/40000] lr: 1.080e-05, eta: 4:14:47, time: 0.583, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3159, decode.loss_mask: 0.8913, decode.loss_dice: 1.2434, decode.d0.loss_cls: 3.9084, decode.d0.loss_mask: 0.9231, decode.d0.loss_dice: 1.4583, decode.d1.loss_cls: 1.7377, decode.d1.loss_mask: 0.9120, decode.d1.loss_dice: 1.3109, decode.d2.loss_cls: 1.4728, decode.d2.loss_mask: 0.8899, decode.d2.loss_dice: 1.2622, decode.d3.loss_cls: 1.3979, decode.d3.loss_mask: 0.8893, decode.d3.loss_dice: 1.2526, decode.d4.loss_cls: 1.3595, decode.d4.loss_mask: 0.8923, decode.d4.loss_dice: 1.2523, decode.d5.loss_cls: 1.3404, decode.d5.loss_mask: 0.8885, decode.d5.loss_dice: 1.2442, decode.d6.loss_cls: 1.3271, decode.d6.loss_mask: 0.8885, decode.d6.loss_dice: 1.2405, decode.d7.loss_cls: 1.3181, decode.d7.loss_mask: 0.8869, decode.d7.loss_dice: 1.2483, decode.d8.loss_cls: 1.3173, decode.d8.loss_mask: 0.8898, decode.d8.loss_dice: 1.2398, loss: 38.1992 2022-06-21 15:36:46,062 - mmseg - INFO - Saving checkpoint at 12000 iterations 2022-06-21 15:36:52,910 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:36:52,910 - mmseg - INFO - Iter [12000/40000] lr: 1.078e-05, eta: 4:14:40, time: 0.723, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2680, decode.loss_mask: 0.9031, decode.loss_dice: 1.2207, decode.d0.loss_cls: 3.8598, decode.d0.loss_mask: 0.9208, decode.d0.loss_dice: 1.4093, decode.d1.loss_cls: 1.6565, decode.d1.loss_mask: 0.9276, decode.d1.loss_dice: 1.2828, decode.d2.loss_cls: 1.4244, decode.d2.loss_mask: 0.9041, decode.d2.loss_dice: 1.2394, decode.d3.loss_cls: 1.3417, decode.d3.loss_mask: 0.9037, decode.d3.loss_dice: 1.2239, decode.d4.loss_cls: 1.3108, decode.d4.loss_mask: 0.9084, decode.d4.loss_dice: 1.2225, decode.d5.loss_cls: 1.3015, decode.d5.loss_mask: 0.9002, decode.d5.loss_dice: 1.2219, decode.d6.loss_cls: 1.2837, decode.d6.loss_mask: 0.9035, decode.d6.loss_dice: 1.2233, decode.d7.loss_cls: 1.2780, decode.d7.loss_mask: 0.9001, decode.d7.loss_dice: 1.2258, decode.d8.loss_cls: 1.2666, decode.d8.loss_mask: 0.9054, decode.d8.loss_dice: 1.2155, loss: 37.5528 2022-06-21 15:37:12,470 - mmseg - INFO - per class results: 2022-06-21 15:37:12,481 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.39 | 93.15 | | bicycle | 69.12 | 88.44 | | car | 57.95 | 67.8 | | motorcycle | 82.3 | 88.97 | | airplane | 83.47 | 94.52 | | bus | 87.32 | 92.56 | | train | 77.19 | 94.35 | | truck | 75.46 | 86.54 | | boat | 77.65 | 85.89 | | traffic light | 74.94 | 91.96 | | fire hydrant | 93.73 | 96.32 | | stop sign | 82.05 | 91.46 | | parking meter | 87.69 | 91.19 | | bench | 42.99 | 70.04 | | bird | 68.14 | 80.99 | | cat | 92.43 | 95.77 | | dog | 89.45 | 93.94 | | horse | 90.85 | 95.24 | | sheep | 83.57 | 90.05 | | cow | 95.54 | 98.04 | | elephant | 92.1 | 95.17 | | bear | 92.6 | 93.79 | | zebra | 91.21 | 94.11 | | giraffe | 87.04 | 92.29 | | backpack | 18.46 | 49.93 | | umbrella | 69.72 | 88.81 | | handbag | 17.06 | 29.96 | | tie | 0.0 | 0.0 | | suitcase | 80.86 | 89.95 | | frisbee | 25.1 | 26.44 | | skis | 30.99 | 53.18 | | snowboard | 58.09 | 72.67 | | sports ball | 72.57 | 89.2 | | kite | 31.48 | 71.06 | | baseball bat | 47.79 | 66.49 | | baseball glove | 1.89 | 1.95 | | skateboard | 66.45 | 82.45 | | surfboard | 88.66 | 94.0 | | tennis racket | 75.0 | 79.01 | | bottle | 60.11 | 83.87 | | wine glass | 79.26 | 89.52 | | cup | 56.98 | 66.51 | | fork | 21.3 | 31.1 | | knife | 54.38 | 66.1 | | spoon | 31.36 | 59.41 | | bowl | 57.59 | 74.54 | | banana | 63.24 | 67.59 | | apple | 64.35 | 78.45 | | sandwich | 86.44 | 96.22 | | orange | 57.57 | 77.74 | | broccoli | 83.62 | 98.46 | | carrot | 55.29 | 84.99 | | hot dog | 60.67 | 98.28 | | pizza | 93.16 | 94.77 | | donut | 73.73 | 86.56 | | cake | 69.81 | 77.55 | | chair | 53.6 | 71.99 | | couch | 65.7 | 88.6 | | potted plant | 33.37 | 41.48 | | bed | 71.62 | 87.82 | | dining table | 56.18 | 75.88 | | toilet | 83.78 | 91.76 | | tv | 68.84 | 97.28 | | laptop | 84.45 | 93.12 | | mouse | 65.34 | 72.29 | | remote | 37.94 | 48.31 | | keyboard | 88.94 | 95.74 | | cell phone | 77.73 | 94.1 | | microwave | 55.78 | 69.43 | | oven | 55.72 | 83.99 | | toaster | 0.0 | 0.0 | | sink | 60.3 | 74.79 | | refrigerator | 66.69 | 82.37 | | book | 74.09 | 92.26 | | clock | 72.96 | 77.51 | | vase | 60.15 | 93.12 | | scissors | 81.35 | 88.78 | | teddy bear | 85.71 | 95.24 | | hair drier | 0.0 | 0.0 | | toothbrush | 3.56 | 3.63 | | banner | 32.34 | 64.19 | | blanket | 0.0 | 0.0 | | branch | 0.0 | 0.0 | | bridge | 1.88 | 2.4 | | building-other | 53.06 | 77.07 | | bush | 26.18 | 33.25 | | cabinet | 24.9 | 40.42 | | cage | 0.0 | 0.0 | | cardboard | 8.27 | 11.18 | | carpet | 66.99 | 82.41 | | ceiling-other | 68.68 | 82.56 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 21.56 | 23.87 | | clouds | 49.4 | 70.31 | | counter | 30.85 | 41.88 | | cupboard | 56.06 | 78.88 | | curtain | 63.53 | 86.24 | | desk-stuff | 33.4 | 38.54 | | dirt | 35.78 | 58.82 | | door-stuff | 42.57 | 61.98 | | fence | 42.2 | 76.69 | | floor-marble | 0.0 | 0.0 | | floor-other | 32.9 | 46.86 | | floor-stone | 0.0 | 0.0 | | floor-tile | 55.21 | 75.49 | | floor-wood | 66.18 | 77.22 | | flower | 16.38 | 44.56 | | fog | 0.0 | 0.0 | | food-other | 29.21 | 65.19 | | fruit | 75.93 | 76.42 | | furniture-other | 16.47 | 23.75 | | grass | 74.39 | 85.93 | | gravel | 22.76 | 27.96 | | ground-other | 7.78 | 12.38 | | hill | 32.85 | 46.14 | | house | 38.9 | 51.06 | | leaves | 7.36 | 8.15 | | light | 41.38 | 54.0 | | mat | 0.0 | 0.0 | | metal | 12.55 | 13.97 | | mirror-stuff | 23.09 | 37.72 | | moss | 0.0 | 0.0 | | mountain | 30.94 | 46.62 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 22.31 | 23.79 | | paper | 22.14 | 42.59 | | pavement | 44.21 | 69.5 | | pillow | 0.0 | 0.0 | | plant-other | 30.32 | 47.53 | | plastic | 0.0 | 0.0 | | platform | 36.02 | 36.6 | | playingfield | 73.15 | 85.64 | | railing | 13.51 | 20.01 | | railroad | 58.25 | 79.67 | | river | 0.0 | 0.0 | | road | 69.68 | 83.92 | | rock | 52.2 | 89.22 | | roof | 39.68 | 61.67 | | rug | 52.6 | 67.88 | | salad | 0.0 | 0.0 | | sand | 69.87 | 89.55 | | sea | 70.08 | 92.39 | | shelf | 17.8 | 27.66 | | sky-other | 55.73 | 68.5 | | skyscraper | 9.67 | 10.02 | | snow | 91.85 | 93.8 | | solid-other | nan | nan | | stairs | 27.11 | 35.93 | | stone | 0.0 | 0.0 | | straw | 24.17 | 29.02 | | structural-other | 21.08 | 37.16 | | table | 5.73 | 7.47 | | tent | 14.34 | 14.35 | | textile-other | 18.62 | 25.29 | | towel | 28.73 | 39.39 | | tree | 79.33 | 88.99 | | vegetable | 28.92 | 44.65 | | wall-brick | 40.46 | 59.63 | | wall-concrete | 17.33 | 19.94 | | wall-other | 61.5 | 79.4 | | wall-panel | 0.0 | 0.0 | | wall-stone | 16.86 | 19.26 | | wall-tile | 47.6 | 74.97 | | wall-wood | 37.57 | 63.78 | | water-other | 19.67 | 29.32 | | waterdrops | nan | nan | | window-blind | 42.85 | 69.55 | | window-other | 42.8 | 57.3 | | wood | 19.04 | 25.63 | +------------------+-------+-------+ 2022-06-21 15:37:12,481 - mmseg - INFO - Summary: 2022-06-21 15:37:12,481 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 73.8 | 46.06 | 57.66 | +------+-------+-------+ 2022-06-21 15:37:12,501 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_8000.pth was removed 2022-06-21 15:37:17,510 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_12000.pth. 2022-06-21 15:37:17,510 - mmseg - INFO - Best mIoU is 0.4606 at 12000 iter. 2022-06-21 15:37:17,516 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:37:17,516 - mmseg - INFO - Iter(val) [125] aAcc: 0.7380, mIoU: 0.4606, mAcc: 0.5766, IoU.person: 0.8739, IoU.bicycle: 0.6912, IoU.car: 0.5795, IoU.motorcycle: 0.8230, IoU.airplane: 0.8347, IoU.bus: 0.8732, IoU.train: 0.7719, IoU.truck: 0.7546, IoU.boat: 0.7765, IoU.traffic light: 0.7494, IoU.fire hydrant: 0.9373, IoU.stop sign: 0.8205, IoU.parking meter: 0.8769, IoU.bench: 0.4299, IoU.bird: 0.6814, IoU.cat: 0.9243, IoU.dog: 0.8945, IoU.horse: 0.9085, IoU.sheep: 0.8357, IoU.cow: 0.9554, IoU.elephant: 0.9210, IoU.bear: 0.9260, IoU.zebra: 0.9121, IoU.giraffe: 0.8704, IoU.backpack: 0.1846, IoU.umbrella: 0.6972, IoU.handbag: 0.1706, IoU.tie: 0.0000, IoU.suitcase: 0.8086, IoU.frisbee: 0.2510, IoU.skis: 0.3099, IoU.snowboard: 0.5809, IoU.sports ball: 0.7257, IoU.kite: 0.3148, IoU.baseball bat: 0.4779, IoU.baseball glove: 0.0189, IoU.skateboard: 0.6645, IoU.surfboard: 0.8866, IoU.tennis racket: 0.7500, IoU.bottle: 0.6011, IoU.wine glass: 0.7926, IoU.cup: 0.5698, IoU.fork: 0.2130, IoU.knife: 0.5438, IoU.spoon: 0.3136, IoU.bowl: 0.5759, IoU.banana: 0.6324, IoU.apple: 0.6435, IoU.sandwich: 0.8644, IoU.orange: 0.5757, IoU.broccoli: 0.8362, IoU.carrot: 0.5529, IoU.hot dog: 0.6067, IoU.pizza: 0.9316, IoU.donut: 0.7373, IoU.cake: 0.6981, IoU.chair: 0.5360, IoU.couch: 0.6570, IoU.potted plant: 0.3337, IoU.bed: 0.7162, IoU.dining table: 0.5618, IoU.toilet: 0.8378, IoU.tv: 0.6884, IoU.laptop: 0.8445, IoU.mouse: 0.6534, IoU.remote: 0.3794, IoU.keyboard: 0.8894, IoU.cell phone: 0.7773, IoU.microwave: 0.5578, IoU.oven: 0.5572, IoU.toaster: 0.0000, IoU.sink: 0.6030, IoU.refrigerator: 0.6669, IoU.book: 0.7409, IoU.clock: 0.7296, IoU.vase: 0.6015, IoU.scissors: 0.8135, IoU.teddy bear: 0.8571, IoU.hair drier: 0.0000, IoU.toothbrush: 0.0356, IoU.banner: 0.3234, IoU.blanket: 0.0000, IoU.branch: 0.0000, IoU.bridge: 0.0188, IoU.building-other: 0.5306, IoU.bush: 0.2618, IoU.cabinet: 0.2490, IoU.cage: 0.0000, IoU.cardboard: 0.0827, IoU.carpet: 0.6699, IoU.ceiling-other: 0.6868, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2156, IoU.clouds: 0.4940, IoU.counter: 0.3085, IoU.cupboard: 0.5606, IoU.curtain: 0.6353, IoU.desk-stuff: 0.3340, IoU.dirt: 0.3578, IoU.door-stuff: 0.4257, IoU.fence: 0.4220, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3290, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.5521, IoU.floor-wood: 0.6618, IoU.flower: 0.1638, IoU.fog: 0.0000, IoU.food-other: 0.2921, IoU.fruit: 0.7593, IoU.furniture-other: 0.1647, IoU.grass: 0.7439, IoU.gravel: 0.2276, IoU.ground-other: 0.0778, IoU.hill: 0.3285, IoU.house: 0.3890, IoU.leaves: 0.0736, IoU.light: 0.4138, IoU.mat: 0.0000, IoU.metal: 0.1255, IoU.mirror-stuff: 0.2309, IoU.moss: 0.0000, IoU.mountain: 0.3094, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.2231, IoU.paper: 0.2214, IoU.pavement: 0.4421, IoU.pillow: 0.0000, IoU.plant-other: 0.3032, IoU.plastic: 0.0000, IoU.platform: 0.3602, IoU.playingfield: 0.7315, IoU.railing: 0.1351, IoU.railroad: 0.5825, IoU.river: 0.0000, IoU.road: 0.6968, IoU.rock: 0.5220, IoU.roof: 0.3968, IoU.rug: 0.5260, IoU.salad: 0.0000, IoU.sand: 0.6987, IoU.sea: 0.7008, IoU.shelf: 0.1780, IoU.sky-other: 0.5573, IoU.skyscraper: 0.0967, IoU.snow: 0.9185, IoU.solid-other: nan, IoU.stairs: 0.2711, IoU.stone: 0.0000, IoU.straw: 0.2417, IoU.structural-other: 0.2108, IoU.table: 0.0573, IoU.tent: 0.1434, IoU.textile-other: 0.1862, IoU.towel: 0.2873, IoU.tree: 0.7933, IoU.vegetable: 0.2892, IoU.wall-brick: 0.4046, IoU.wall-concrete: 0.1733, IoU.wall-other: 0.6150, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.1686, IoU.wall-tile: 0.4760, IoU.wall-wood: 0.3757, IoU.water-other: 0.1967, IoU.waterdrops: nan, IoU.window-blind: 0.4285, IoU.window-other: 0.4280, IoU.wood: 0.1904, Acc.person: 0.9315, Acc.bicycle: 0.8844, Acc.car: 0.6780, Acc.motorcycle: 0.8897, Acc.airplane: 0.9452, Acc.bus: 0.9256, Acc.train: 0.9435, Acc.truck: 0.8654, Acc.boat: 0.8589, Acc.traffic light: 0.9196, Acc.fire hydrant: 0.9632, Acc.stop sign: 0.9146, Acc.parking meter: 0.9119, Acc.bench: 0.7004, Acc.bird: 0.8099, Acc.cat: 0.9577, Acc.dog: 0.9394, Acc.horse: 0.9524, Acc.sheep: 0.9005, Acc.cow: 0.9804, Acc.elephant: 0.9517, Acc.bear: 0.9379, Acc.zebra: 0.9411, Acc.giraffe: 0.9229, Acc.backpack: 0.4993, Acc.umbrella: 0.8881, Acc.handbag: 0.2996, Acc.tie: 0.0000, Acc.suitcase: 0.8995, Acc.frisbee: 0.2644, Acc.skis: 0.5318, Acc.snowboard: 0.7267, Acc.sports ball: 0.8920, Acc.kite: 0.7106, Acc.baseball bat: 0.6649, Acc.baseball glove: 0.0195, Acc.skateboard: 0.8245, Acc.surfboard: 0.9400, Acc.tennis racket: 0.7901, Acc.bottle: 0.8387, Acc.wine glass: 0.8952, Acc.cup: 0.6651, Acc.fork: 0.3110, Acc.knife: 0.6610, Acc.spoon: 0.5941, Acc.bowl: 0.7454, Acc.banana: 0.6759, Acc.apple: 0.7845, Acc.sandwich: 0.9622, Acc.orange: 0.7774, Acc.broccoli: 0.9846, Acc.carrot: 0.8499, Acc.hot dog: 0.9828, Acc.pizza: 0.9477, Acc.donut: 0.8656, Acc.cake: 0.7755, Acc.chair: 0.7199, Acc.couch: 0.8860, Acc.potted plant: 0.4148, Acc.bed: 0.8782, Acc.dining table: 0.7588, Acc.toilet: 0.9176, Acc.tv: 0.9728, Acc.laptop: 0.9312, Acc.mouse: 0.7229, Acc.remote: 0.4831, Acc.keyboard: 0.9574, Acc.cell phone: 0.9410, Acc.microwave: 0.6943, Acc.oven: 0.8399, Acc.toaster: 0.0000, Acc.sink: 0.7479, Acc.refrigerator: 0.8237, Acc.book: 0.9226, Acc.clock: 0.7751, Acc.vase: 0.9312, Acc.scissors: 0.8878, Acc.teddy bear: 0.9524, Acc.hair drier: 0.0000, Acc.toothbrush: 0.0363, Acc.banner: 0.6419, Acc.blanket: 0.0000, Acc.branch: 0.0000, Acc.bridge: 0.0240, Acc.building-other: 0.7707, Acc.bush: 0.3325, Acc.cabinet: 0.4042, Acc.cage: 0.0000, Acc.cardboard: 0.1118, Acc.carpet: 0.8241, Acc.ceiling-other: 0.8256, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.2387, Acc.clouds: 0.7031, Acc.counter: 0.4188, Acc.cupboard: 0.7888, Acc.curtain: 0.8624, Acc.desk-stuff: 0.3854, Acc.dirt: 0.5882, Acc.door-stuff: 0.6198, Acc.fence: 0.7669, Acc.floor-marble: 0.0000, Acc.floor-other: 0.4686, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.7549, Acc.floor-wood: 0.7722, Acc.flower: 0.4456, Acc.fog: 0.0000, Acc.food-other: 0.6519, Acc.fruit: 0.7642, Acc.furniture-other: 0.2375, Acc.grass: 0.8593, Acc.gravel: 0.2796, Acc.ground-other: 0.1238, Acc.hill: 0.4614, Acc.house: 0.5106, Acc.leaves: 0.0815, Acc.light: 0.5400, Acc.mat: 0.0000, Acc.metal: 0.1397, Acc.mirror-stuff: 0.3772, Acc.moss: 0.0000, Acc.mountain: 0.4662, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.2379, Acc.paper: 0.4259, Acc.pavement: 0.6950, Acc.pillow: 0.0000, Acc.plant-other: 0.4753, Acc.plastic: 0.0000, Acc.platform: 0.3660, Acc.playingfield: 0.8564, Acc.railing: 0.2001, Acc.railroad: 0.7967, Acc.river: 0.0000, Acc.road: 0.8392, Acc.rock: 0.8922, Acc.roof: 0.6167, Acc.rug: 0.6788, Acc.salad: 0.0000, Acc.sand: 0.8955, Acc.sea: 0.9239, Acc.shelf: 0.2766, Acc.sky-other: 0.6850, Acc.skyscraper: 0.1002, Acc.snow: 0.9380, Acc.solid-other: nan, Acc.stairs: 0.3593, Acc.stone: 0.0000, Acc.straw: 0.2902, Acc.structural-other: 0.3716, Acc.table: 0.0747, Acc.tent: 0.1435, Acc.textile-other: 0.2529, Acc.towel: 0.3939, Acc.tree: 0.8899, Acc.vegetable: 0.4465, Acc.wall-brick: 0.5963, Acc.wall-concrete: 0.1994, Acc.wall-other: 0.7940, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.1926, Acc.wall-tile: 0.7497, Acc.wall-wood: 0.6378, Acc.water-other: 0.2932, Acc.waterdrops: nan, Acc.window-blind: 0.6955, Acc.window-other: 0.5730, Acc.wood: 0.2563 2022-06-21 15:37:46,741 - mmseg - INFO - Iter [12050/40000] lr: 1.076e-05, eta: 4:15:14, time: 1.076, data_time: 0.503, memory: 40943, decode.loss_cls: 1.2333, decode.loss_mask: 0.8790, decode.loss_dice: 1.2281, decode.d0.loss_cls: 3.8172, decode.d0.loss_mask: 0.9069, decode.d0.loss_dice: 1.4368, decode.d1.loss_cls: 1.6294, decode.d1.loss_mask: 0.9008, decode.d1.loss_dice: 1.3079, decode.d2.loss_cls: 1.3781, decode.d2.loss_mask: 0.8822, decode.d2.loss_dice: 1.2596, decode.d3.loss_cls: 1.3145, decode.d3.loss_mask: 0.8853, decode.d3.loss_dice: 1.2424, decode.d4.loss_cls: 1.2755, decode.d4.loss_mask: 0.8852, decode.d4.loss_dice: 1.2456, decode.d5.loss_cls: 1.2569, decode.d5.loss_mask: 0.8803, decode.d5.loss_dice: 1.2431, decode.d6.loss_cls: 1.2458, decode.d6.loss_mask: 0.8839, decode.d6.loss_dice: 1.2353, decode.d7.loss_cls: 1.2338, decode.d7.loss_mask: 0.8814, decode.d7.loss_dice: 1.2361, decode.d8.loss_cls: 1.2273, decode.d8.loss_mask: 0.8834, decode.d8.loss_dice: 1.2345, loss: 37.1495 2022-06-21 15:38:15,398 - mmseg - INFO - Iter [12100/40000] lr: 1.074e-05, eta: 4:14:50, time: 0.573, data_time: 0.011, memory: 40943, decode.loss_cls: 1.3220, decode.loss_mask: 0.8581, decode.loss_dice: 1.2658, decode.d0.loss_cls: 3.9026, decode.d0.loss_mask: 0.8745, decode.d0.loss_dice: 1.4726, decode.d1.loss_cls: 1.7318, decode.d1.loss_mask: 0.8681, decode.d1.loss_dice: 1.3292, decode.d2.loss_cls: 1.4841, decode.d2.loss_mask: 0.8571, decode.d2.loss_dice: 1.2820, decode.d3.loss_cls: 1.4023, decode.d3.loss_mask: 0.8600, decode.d3.loss_dice: 1.2706, decode.d4.loss_cls: 1.3655, decode.d4.loss_mask: 0.8578, decode.d4.loss_dice: 1.2801, decode.d5.loss_cls: 1.3593, decode.d5.loss_mask: 0.8564, decode.d5.loss_dice: 1.2765, decode.d6.loss_cls: 1.3286, decode.d6.loss_mask: 0.8599, decode.d6.loss_dice: 1.2645, decode.d7.loss_cls: 1.3196, decode.d7.loss_mask: 0.8575, decode.d7.loss_dice: 1.2689, decode.d8.loss_cls: 1.3196, decode.d8.loss_mask: 0.8557, decode.d8.loss_dice: 1.2726, loss: 38.1232 2022-06-21 15:38:44,968 - mmseg - INFO - Iter [12150/40000] lr: 1.072e-05, eta: 4:14:28, time: 0.592, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2355, decode.loss_mask: 0.8843, decode.loss_dice: 1.2147, decode.d0.loss_cls: 3.7436, decode.d0.loss_mask: 0.9031, decode.d0.loss_dice: 1.3957, decode.d1.loss_cls: 1.6069, decode.d1.loss_mask: 0.9084, decode.d1.loss_dice: 1.2723, decode.d2.loss_cls: 1.3724, decode.d2.loss_mask: 0.8857, decode.d2.loss_dice: 1.2252, decode.d3.loss_cls: 1.3032, decode.d3.loss_mask: 0.8862, decode.d3.loss_dice: 1.2132, decode.d4.loss_cls: 1.2666, decode.d4.loss_mask: 0.8862, decode.d4.loss_dice: 1.2148, decode.d5.loss_cls: 1.2576, decode.d5.loss_mask: 0.8785, decode.d5.loss_dice: 1.2150, decode.d6.loss_cls: 1.2436, decode.d6.loss_mask: 0.8821, decode.d6.loss_dice: 1.2089, decode.d7.loss_cls: 1.2340, decode.d7.loss_mask: 0.8824, decode.d7.loss_dice: 1.2088, decode.d8.loss_cls: 1.2227, decode.d8.loss_mask: 0.8871, decode.d8.loss_dice: 1.2127, loss: 36.7514 2022-06-21 15:39:14,440 - mmseg - INFO - Iter [12200/40000] lr: 1.070e-05, eta: 4:14:05, time: 0.589, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2819, decode.loss_mask: 0.8926, decode.loss_dice: 1.2318, decode.d0.loss_cls: 3.8360, decode.d0.loss_mask: 0.9225, decode.d0.loss_dice: 1.4311, decode.d1.loss_cls: 1.6947, decode.d1.loss_mask: 0.9214, decode.d1.loss_dice: 1.3079, decode.d2.loss_cls: 1.4417, decode.d2.loss_mask: 0.8980, decode.d2.loss_dice: 1.2608, decode.d3.loss_cls: 1.3579, decode.d3.loss_mask: 0.8986, decode.d3.loss_dice: 1.2370, decode.d4.loss_cls: 1.3184, decode.d4.loss_mask: 0.8997, decode.d4.loss_dice: 1.2415, decode.d5.loss_cls: 1.3045, decode.d5.loss_mask: 0.8986, decode.d5.loss_dice: 1.2342, decode.d6.loss_cls: 1.2834, decode.d6.loss_mask: 0.8994, decode.d6.loss_dice: 1.2284, decode.d7.loss_cls: 1.2823, decode.d7.loss_mask: 0.8994, decode.d7.loss_dice: 1.2342, decode.d8.loss_cls: 1.2750, decode.d8.loss_mask: 0.8902, decode.d8.loss_dice: 1.2364, loss: 37.7395 2022-06-21 15:39:44,467 - mmseg - INFO - Iter [12250/40000] lr: 1.068e-05, eta: 4:13:43, time: 0.600, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2368, decode.loss_mask: 0.8741, decode.loss_dice: 1.2264, decode.d0.loss_cls: 3.7555, decode.d0.loss_mask: 0.8950, decode.d0.loss_dice: 1.4179, decode.d1.loss_cls: 1.6237, decode.d1.loss_mask: 0.8912, decode.d1.loss_dice: 1.2815, decode.d2.loss_cls: 1.3822, decode.d2.loss_mask: 0.8760, decode.d2.loss_dice: 1.2339, decode.d3.loss_cls: 1.3055, decode.d3.loss_mask: 0.8664, decode.d3.loss_dice: 1.2231, decode.d4.loss_cls: 1.2660, decode.d4.loss_mask: 0.8677, decode.d4.loss_dice: 1.2316, decode.d5.loss_cls: 1.2553, decode.d5.loss_mask: 0.8765, decode.d5.loss_dice: 1.2309, decode.d6.loss_cls: 1.2389, decode.d6.loss_mask: 0.8766, decode.d6.loss_dice: 1.2188, decode.d7.loss_cls: 1.2314, decode.d7.loss_mask: 0.8723, decode.d7.loss_dice: 1.2273, decode.d8.loss_cls: 1.2310, decode.d8.loss_mask: 0.8743, decode.d8.loss_dice: 1.2294, loss: 36.8172 2022-06-21 15:40:14,483 - mmseg - INFO - Iter [12300/40000] lr: 1.067e-05, eta: 4:13:22, time: 0.600, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2695, decode.loss_mask: 0.8973, decode.loss_dice: 1.2478, decode.d0.loss_cls: 3.7918, decode.d0.loss_mask: 0.9254, decode.d0.loss_dice: 1.4457, decode.d1.loss_cls: 1.6320, decode.d1.loss_mask: 0.9240, decode.d1.loss_dice: 1.3154, decode.d2.loss_cls: 1.4211, decode.d2.loss_mask: 0.9068, decode.d2.loss_dice: 1.2645, decode.d3.loss_cls: 1.3362, decode.d3.loss_mask: 0.9056, decode.d3.loss_dice: 1.2592, decode.d4.loss_cls: 1.3015, decode.d4.loss_mask: 0.9026, decode.d4.loss_dice: 1.2610, decode.d5.loss_cls: 1.2817, decode.d5.loss_mask: 0.9046, decode.d5.loss_dice: 1.2557, decode.d6.loss_cls: 1.2749, decode.d6.loss_mask: 0.9059, decode.d6.loss_dice: 1.2520, decode.d7.loss_cls: 1.2672, decode.d7.loss_mask: 0.9002, decode.d7.loss_dice: 1.2517, decode.d8.loss_cls: 1.2690, decode.d8.loss_mask: 0.8985, decode.d8.loss_dice: 1.2503, loss: 37.7189 2022-06-21 15:40:44,377 - mmseg - INFO - Iter [12350/40000] lr: 1.065e-05, eta: 4:13:00, time: 0.598, data_time: 0.012, memory: 40943, decode.loss_cls: 1.2236, decode.loss_mask: 0.8809, decode.loss_dice: 1.2362, decode.d0.loss_cls: 3.7235, decode.d0.loss_mask: 0.8997, decode.d0.loss_dice: 1.4179, decode.d1.loss_cls: 1.6108, decode.d1.loss_mask: 0.9038, decode.d1.loss_dice: 1.3073, decode.d2.loss_cls: 1.3663, decode.d2.loss_mask: 0.8866, decode.d2.loss_dice: 1.2587, decode.d3.loss_cls: 1.2908, decode.d3.loss_mask: 0.8868, decode.d3.loss_dice: 1.2431, decode.d4.loss_cls: 1.2655, decode.d4.loss_mask: 0.8836, decode.d4.loss_dice: 1.2435, decode.d5.loss_cls: 1.2490, decode.d5.loss_mask: 0.8841, decode.d5.loss_dice: 1.2349, decode.d6.loss_cls: 1.2350, decode.d6.loss_mask: 0.8828, decode.d6.loss_dice: 1.2339, decode.d7.loss_cls: 1.2242, decode.d7.loss_mask: 0.8808, decode.d7.loss_dice: 1.2339, decode.d8.loss_cls: 1.2263, decode.d8.loss_mask: 0.8791, decode.d8.loss_dice: 1.2379, loss: 36.9305 2022-06-21 15:41:17,199 - mmseg - INFO - Iter [12400/40000] lr: 1.063e-05, eta: 4:12:44, time: 0.657, data_time: 0.060, memory: 40943, decode.loss_cls: 1.2523, decode.loss_mask: 0.8716, decode.loss_dice: 1.2551, decode.d0.loss_cls: 3.8150, decode.d0.loss_mask: 0.9072, decode.d0.loss_dice: 1.4529, decode.d1.loss_cls: 1.6631, decode.d1.loss_mask: 0.8958, decode.d1.loss_dice: 1.3202, decode.d2.loss_cls: 1.4141, decode.d2.loss_mask: 0.8750, decode.d2.loss_dice: 1.2718, decode.d3.loss_cls: 1.3182, decode.d3.loss_mask: 0.8740, decode.d3.loss_dice: 1.2652, decode.d4.loss_cls: 1.3041, decode.d4.loss_mask: 0.8739, decode.d4.loss_dice: 1.2638, decode.d5.loss_cls: 1.2764, decode.d5.loss_mask: 0.8727, decode.d5.loss_dice: 1.2556, decode.d6.loss_cls: 1.2655, decode.d6.loss_mask: 0.8740, decode.d6.loss_dice: 1.2612, decode.d7.loss_cls: 1.2526, decode.d7.loss_mask: 0.8775, decode.d7.loss_dice: 1.2545, decode.d8.loss_cls: 1.2509, decode.d8.loss_mask: 0.8733, decode.d8.loss_dice: 1.2548, loss: 37.4625 2022-06-21 15:41:47,438 - mmseg - INFO - Iter [12450/40000] lr: 1.061e-05, eta: 4:12:23, time: 0.605, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2537, decode.loss_mask: 0.8737, decode.loss_dice: 1.2602, decode.d0.loss_cls: 3.7640, decode.d0.loss_mask: 0.8980, decode.d0.loss_dice: 1.4486, decode.d1.loss_cls: 1.6555, decode.d1.loss_mask: 0.8982, decode.d1.loss_dice: 1.3285, decode.d2.loss_cls: 1.4291, decode.d2.loss_mask: 0.8781, decode.d2.loss_dice: 1.2702, decode.d3.loss_cls: 1.3509, decode.d3.loss_mask: 0.8692, decode.d3.loss_dice: 1.2584, decode.d4.loss_cls: 1.3007, decode.d4.loss_mask: 0.8732, decode.d4.loss_dice: 1.2675, decode.d5.loss_cls: 1.2849, decode.d5.loss_mask: 0.8729, decode.d5.loss_dice: 1.2531, decode.d6.loss_cls: 1.2636, decode.d6.loss_mask: 0.8739, decode.d6.loss_dice: 1.2545, decode.d7.loss_cls: 1.2567, decode.d7.loss_mask: 0.8723, decode.d7.loss_dice: 1.2579, decode.d8.loss_cls: 1.2560, decode.d8.loss_mask: 0.8708, decode.d8.loss_dice: 1.2527, loss: 37.4468 2022-06-21 15:42:17,260 - mmseg - INFO - Iter [12500/40000] lr: 1.059e-05, eta: 4:12:01, time: 0.596, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2474, decode.loss_mask: 0.8757, decode.loss_dice: 1.2007, decode.d0.loss_cls: 3.7600, decode.d0.loss_mask: 0.9037, decode.d0.loss_dice: 1.4108, decode.d1.loss_cls: 1.6374, decode.d1.loss_mask: 0.8961, decode.d1.loss_dice: 1.2790, decode.d2.loss_cls: 1.3974, decode.d2.loss_mask: 0.8817, decode.d2.loss_dice: 1.2267, decode.d3.loss_cls: 1.3234, decode.d3.loss_mask: 0.8765, decode.d3.loss_dice: 1.2045, decode.d4.loss_cls: 1.2911, decode.d4.loss_mask: 0.8720, decode.d4.loss_dice: 1.2135, decode.d5.loss_cls: 1.2736, decode.d5.loss_mask: 0.8700, decode.d5.loss_dice: 1.2065, decode.d6.loss_cls: 1.2641, decode.d6.loss_mask: 0.8707, decode.d6.loss_dice: 1.1997, decode.d7.loss_cls: 1.2553, decode.d7.loss_mask: 0.8703, decode.d7.loss_dice: 1.1933, decode.d8.loss_cls: 1.2445, decode.d8.loss_mask: 0.8762, decode.d8.loss_dice: 1.1986, loss: 36.8205 2022-06-21 15:42:46,460 - mmseg - INFO - Iter [12550/40000] lr: 1.057e-05, eta: 4:11:37, time: 0.584, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2209, decode.loss_mask: 0.8944, decode.loss_dice: 1.2419, decode.d0.loss_cls: 3.7286, decode.d0.loss_mask: 0.9246, decode.d0.loss_dice: 1.4378, decode.d1.loss_cls: 1.6283, decode.d1.loss_mask: 0.9167, decode.d1.loss_dice: 1.3024, decode.d2.loss_cls: 1.3668, decode.d2.loss_mask: 0.9013, decode.d2.loss_dice: 1.2520, decode.d3.loss_cls: 1.2871, decode.d3.loss_mask: 0.8998, decode.d3.loss_dice: 1.2372, decode.d4.loss_cls: 1.2623, decode.d4.loss_mask: 0.9007, decode.d4.loss_dice: 1.2390, decode.d5.loss_cls: 1.2353, decode.d5.loss_mask: 0.9037, decode.d5.loss_dice: 1.2468, decode.d6.loss_cls: 1.2337, decode.d6.loss_mask: 0.8996, decode.d6.loss_dice: 1.2356, decode.d7.loss_cls: 1.2215, decode.d7.loss_mask: 0.8974, decode.d7.loss_dice: 1.2435, decode.d8.loss_cls: 1.2201, decode.d8.loss_mask: 0.8974, decode.d8.loss_dice: 1.2408, loss: 37.1173 2022-06-21 15:43:16,571 - mmseg - INFO - Iter [12600/40000] lr: 1.055e-05, eta: 4:11:15, time: 0.602, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2052, decode.loss_mask: 0.8493, decode.loss_dice: 1.2254, decode.d0.loss_cls: 3.6859, decode.d0.loss_mask: 0.8737, decode.d0.loss_dice: 1.4165, decode.d1.loss_cls: 1.5603, decode.d1.loss_mask: 0.8726, decode.d1.loss_dice: 1.2972, decode.d2.loss_cls: 1.3378, decode.d2.loss_mask: 0.8488, decode.d2.loss_dice: 1.2420, decode.d3.loss_cls: 1.2648, decode.d3.loss_mask: 0.8510, decode.d3.loss_dice: 1.2238, decode.d4.loss_cls: 1.2313, decode.d4.loss_mask: 0.8495, decode.d4.loss_dice: 1.2250, decode.d5.loss_cls: 1.2139, decode.d5.loss_mask: 0.8490, decode.d5.loss_dice: 1.2308, decode.d6.loss_cls: 1.2122, decode.d6.loss_mask: 0.8487, decode.d6.loss_dice: 1.2204, decode.d7.loss_cls: 1.1983, decode.d7.loss_mask: 0.8501, decode.d7.loss_dice: 1.2252, decode.d8.loss_cls: 1.2054, decode.d8.loss_mask: 0.8489, decode.d8.loss_dice: 1.2217, loss: 36.1846 2022-06-21 15:43:46,988 - mmseg - INFO - Iter [12650/40000] lr: 1.053e-05, eta: 4:10:54, time: 0.609, data_time: 0.011, memory: 40943, decode.loss_cls: 1.2468, decode.loss_mask: 0.8907, decode.loss_dice: 1.1917, decode.d0.loss_cls: 3.7287, decode.d0.loss_mask: 0.9060, decode.d0.loss_dice: 1.3855, decode.d1.loss_cls: 1.6333, decode.d1.loss_mask: 0.9179, decode.d1.loss_dice: 1.2543, decode.d2.loss_cls: 1.4061, decode.d2.loss_mask: 0.9036, decode.d2.loss_dice: 1.2080, decode.d3.loss_cls: 1.3302, decode.d3.loss_mask: 0.8945, decode.d3.loss_dice: 1.2005, decode.d4.loss_cls: 1.3023, decode.d4.loss_mask: 0.8922, decode.d4.loss_dice: 1.2032, decode.d5.loss_cls: 1.2763, decode.d5.loss_mask: 0.8901, decode.d5.loss_dice: 1.2003, decode.d6.loss_cls: 1.2641, decode.d6.loss_mask: 0.8906, decode.d6.loss_dice: 1.1946, decode.d7.loss_cls: 1.2521, decode.d7.loss_mask: 0.8926, decode.d7.loss_dice: 1.1976, decode.d8.loss_cls: 1.2576, decode.d8.loss_mask: 0.8888, decode.d8.loss_dice: 1.1997, loss: 36.9001 2022-06-21 15:44:16,014 - mmseg - INFO - Iter [12700/40000] lr: 1.051e-05, eta: 4:10:30, time: 0.581, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2149, decode.loss_mask: 0.8594, decode.loss_dice: 1.2138, decode.d0.loss_cls: 3.6935, decode.d0.loss_mask: 0.8809, decode.d0.loss_dice: 1.4031, decode.d1.loss_cls: 1.5926, decode.d1.loss_mask: 0.8832, decode.d1.loss_dice: 1.2803, decode.d2.loss_cls: 1.3684, decode.d2.loss_mask: 0.8654, decode.d2.loss_dice: 1.2362, decode.d3.loss_cls: 1.2937, decode.d3.loss_mask: 0.8645, decode.d3.loss_dice: 1.2141, decode.d4.loss_cls: 1.2547, decode.d4.loss_mask: 0.8636, decode.d4.loss_dice: 1.2189, decode.d5.loss_cls: 1.2370, decode.d5.loss_mask: 0.8624, decode.d5.loss_dice: 1.2200, decode.d6.loss_cls: 1.2265, decode.d6.loss_mask: 0.8667, decode.d6.loss_dice: 1.2068, decode.d7.loss_cls: 1.2238, decode.d7.loss_mask: 0.8665, decode.d7.loss_dice: 1.2178, decode.d8.loss_cls: 1.2069, decode.d8.loss_mask: 0.8676, decode.d8.loss_dice: 1.2100, loss: 36.4131 2022-06-21 15:44:45,437 - mmseg - INFO - Iter [12750/40000] lr: 1.049e-05, eta: 4:10:06, time: 0.588, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2624, decode.loss_mask: 0.8837, decode.loss_dice: 1.2381, decode.d0.loss_cls: 3.7777, decode.d0.loss_mask: 0.9231, decode.d0.loss_dice: 1.4543, decode.d1.loss_cls: 1.6381, decode.d1.loss_mask: 0.9202, decode.d1.loss_dice: 1.3151, decode.d2.loss_cls: 1.4057, decode.d2.loss_mask: 0.8974, decode.d2.loss_dice: 1.2560, decode.d3.loss_cls: 1.3271, decode.d3.loss_mask: 0.8918, decode.d3.loss_dice: 1.2415, decode.d4.loss_cls: 1.2977, decode.d4.loss_mask: 0.8872, decode.d4.loss_dice: 1.2498, decode.d5.loss_cls: 1.2787, decode.d5.loss_mask: 0.8819, decode.d5.loss_dice: 1.2436, decode.d6.loss_cls: 1.2671, decode.d6.loss_mask: 0.8857, decode.d6.loss_dice: 1.2362, decode.d7.loss_cls: 1.2579, decode.d7.loss_mask: 0.8843, decode.d7.loss_dice: 1.2431, decode.d8.loss_cls: 1.2532, decode.d8.loss_mask: 0.8808, decode.d8.loss_dice: 1.2414, loss: 37.4207 2022-06-21 15:45:15,423 - mmseg - INFO - Iter [12800/40000] lr: 1.047e-05, eta: 4:09:44, time: 0.600, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1929, decode.loss_mask: 0.8786, decode.loss_dice: 1.2256, decode.d0.loss_cls: 3.6606, decode.d0.loss_mask: 0.9050, decode.d0.loss_dice: 1.4126, decode.d1.loss_cls: 1.5750, decode.d1.loss_mask: 0.9050, decode.d1.loss_dice: 1.2851, decode.d2.loss_cls: 1.3459, decode.d2.loss_mask: 0.8872, decode.d2.loss_dice: 1.2372, decode.d3.loss_cls: 1.2597, decode.d3.loss_mask: 0.8864, decode.d3.loss_dice: 1.2297, decode.d4.loss_cls: 1.2322, decode.d4.loss_mask: 0.8828, decode.d4.loss_dice: 1.2338, decode.d5.loss_cls: 1.2114, decode.d5.loss_mask: 0.8802, decode.d5.loss_dice: 1.2255, decode.d6.loss_cls: 1.1980, decode.d6.loss_mask: 0.8840, decode.d6.loss_dice: 1.2211, decode.d7.loss_cls: 1.1926, decode.d7.loss_mask: 0.8886, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 1.1895, decode.d8.loss_mask: 0.8865, decode.d8.loss_dice: 1.2237, loss: 36.4545 2022-06-21 15:45:45,104 - mmseg - INFO - Iter [12850/40000] lr: 1.045e-05, eta: 4:09:21, time: 0.594, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2287, decode.loss_mask: 0.8765, decode.loss_dice: 1.2312, decode.d0.loss_cls: 3.6754, decode.d0.loss_mask: 0.9089, decode.d0.loss_dice: 1.4457, decode.d1.loss_cls: 1.6110, decode.d1.loss_mask: 0.8964, decode.d1.loss_dice: 1.3108, decode.d2.loss_cls: 1.3785, decode.d2.loss_mask: 0.8806, decode.d2.loss_dice: 1.2620, decode.d3.loss_cls: 1.2989, decode.d3.loss_mask: 0.8832, decode.d3.loss_dice: 1.2466, decode.d4.loss_cls: 1.2667, decode.d4.loss_mask: 0.8783, decode.d4.loss_dice: 1.2435, decode.d5.loss_cls: 1.2502, decode.d5.loss_mask: 0.8773, decode.d5.loss_dice: 1.2388, decode.d6.loss_cls: 1.2409, decode.d6.loss_mask: 0.8781, decode.d6.loss_dice: 1.2345, decode.d7.loss_cls: 1.2304, decode.d7.loss_mask: 0.8818, decode.d7.loss_dice: 1.2379, decode.d8.loss_cls: 1.2238, decode.d8.loss_mask: 0.8808, decode.d8.loss_dice: 1.2330, loss: 36.9301 2022-06-21 15:46:14,710 - mmseg - INFO - Iter [12900/40000] lr: 1.043e-05, eta: 4:08:57, time: 0.590, data_time: 0.010, memory: 40943, decode.loss_cls: 1.3221, decode.loss_mask: 0.8692, decode.loss_dice: 1.2886, decode.d0.loss_cls: 3.7913, decode.d0.loss_mask: 0.9109, decode.d0.loss_dice: 1.4986, decode.d1.loss_cls: 1.7045, decode.d1.loss_mask: 0.9022, decode.d1.loss_dice: 1.3617, decode.d2.loss_cls: 1.4876, decode.d2.loss_mask: 0.8770, decode.d2.loss_dice: 1.3101, decode.d3.loss_cls: 1.3965, decode.d3.loss_mask: 0.8749, decode.d3.loss_dice: 1.2985, decode.d4.loss_cls: 1.3650, decode.d4.loss_mask: 0.8747, decode.d4.loss_dice: 1.2965, decode.d5.loss_cls: 1.3501, decode.d5.loss_mask: 0.8769, decode.d5.loss_dice: 1.2965, decode.d6.loss_cls: 1.3286, decode.d6.loss_mask: 0.8738, decode.d6.loss_dice: 1.2870, decode.d7.loss_cls: 1.3216, decode.d7.loss_mask: 0.8694, decode.d7.loss_dice: 1.2921, decode.d8.loss_cls: 1.3240, decode.d8.loss_mask: 0.8666, decode.d8.loss_dice: 1.2893, loss: 38.4057 2022-06-21 15:46:46,503 - mmseg - INFO - Iter [12950/40000] lr: 1.041e-05, eta: 4:08:39, time: 0.637, data_time: 0.059, memory: 40943, decode.loss_cls: 1.1844, decode.loss_mask: 0.8837, decode.loss_dice: 1.1990, decode.d0.loss_cls: 3.6053, decode.d0.loss_mask: 0.9014, decode.d0.loss_dice: 1.3847, decode.d1.loss_cls: 1.5264, decode.d1.loss_mask: 0.9070, decode.d1.loss_dice: 1.2574, decode.d2.loss_cls: 1.3374, decode.d2.loss_mask: 0.8886, decode.d2.loss_dice: 1.2043, decode.d3.loss_cls: 1.2485, decode.d3.loss_mask: 0.8884, decode.d3.loss_dice: 1.2048, decode.d4.loss_cls: 1.2208, decode.d4.loss_mask: 0.8892, decode.d4.loss_dice: 1.2008, decode.d5.loss_cls: 1.2071, decode.d5.loss_mask: 0.8842, decode.d5.loss_dice: 1.1988, decode.d6.loss_cls: 1.1895, decode.d6.loss_mask: 0.8913, decode.d6.loss_dice: 1.1910, decode.d7.loss_cls: 1.1795, decode.d7.loss_mask: 0.8894, decode.d7.loss_dice: 1.1945, decode.d8.loss_cls: 1.1805, decode.d8.loss_mask: 0.8879, decode.d8.loss_dice: 1.2007, loss: 36.0263 2022-06-21 15:47:14,322 - mmseg - INFO - Saving checkpoint at 13000 iterations 2022-06-21 15:47:21,086 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:47:21,086 - mmseg - INFO - Iter [13000/40000] lr: 1.040e-05, eta: 4:08:26, time: 0.692, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2059, decode.loss_mask: 0.8657, decode.loss_dice: 1.2294, decode.d0.loss_cls: 3.7353, decode.d0.loss_mask: 0.8908, decode.d0.loss_dice: 1.4263, decode.d1.loss_cls: 1.6250, decode.d1.loss_mask: 0.8934, decode.d1.loss_dice: 1.2961, decode.d2.loss_cls: 1.3770, decode.d2.loss_mask: 0.8808, decode.d2.loss_dice: 1.2496, decode.d3.loss_cls: 1.2760, decode.d3.loss_mask: 0.8747, decode.d3.loss_dice: 1.2395, decode.d4.loss_cls: 1.2572, decode.d4.loss_mask: 0.8736, decode.d4.loss_dice: 1.2366, decode.d5.loss_cls: 1.2330, decode.d5.loss_mask: 0.8732, decode.d5.loss_dice: 1.2309, decode.d6.loss_cls: 1.2270, decode.d6.loss_mask: 0.8716, decode.d6.loss_dice: 1.2280, decode.d7.loss_cls: 1.2145, decode.d7.loss_mask: 0.8707, decode.d7.loss_dice: 1.2322, decode.d8.loss_cls: 1.2080, decode.d8.loss_mask: 0.8682, decode.d8.loss_dice: 1.2306, loss: 36.7206 2022-06-21 15:47:49,376 - mmseg - INFO - Iter [13050/40000] lr: 1.038e-05, eta: 4:07:59, time: 0.565, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1949, decode.loss_mask: 0.8733, decode.loss_dice: 1.2159, decode.d0.loss_cls: 3.6600, decode.d0.loss_mask: 0.8984, decode.d0.loss_dice: 1.4077, decode.d1.loss_cls: 1.5889, decode.d1.loss_mask: 0.8987, decode.d1.loss_dice: 1.2721, decode.d2.loss_cls: 1.3503, decode.d2.loss_mask: 0.8778, decode.d2.loss_dice: 1.2367, decode.d3.loss_cls: 1.2742, decode.d3.loss_mask: 0.8756, decode.d3.loss_dice: 1.2193, decode.d4.loss_cls: 1.2395, decode.d4.loss_mask: 0.8729, decode.d4.loss_dice: 1.2210, decode.d5.loss_cls: 1.2220, decode.d5.loss_mask: 0.8781, decode.d5.loss_dice: 1.2161, decode.d6.loss_cls: 1.2062, decode.d6.loss_mask: 0.8720, decode.d6.loss_dice: 1.2112, decode.d7.loss_cls: 1.1965, decode.d7.loss_mask: 0.8715, decode.d7.loss_dice: 1.2124, decode.d8.loss_cls: 1.1976, decode.d8.loss_mask: 0.8716, decode.d8.loss_dice: 1.2178, loss: 36.3503 2022-06-21 15:48:17,898 - mmseg - INFO - Iter [13100/40000] lr: 1.036e-05, eta: 4:07:34, time: 0.571, data_time: 0.011, memory: 40943, decode.loss_cls: 1.2825, decode.loss_mask: 0.8704, decode.loss_dice: 1.2435, decode.d0.loss_cls: 3.7796, decode.d0.loss_mask: 0.8869, decode.d0.loss_dice: 1.4535, decode.d1.loss_cls: 1.6807, decode.d1.loss_mask: 0.8871, decode.d1.loss_dice: 1.3039, decode.d2.loss_cls: 1.4387, decode.d2.loss_mask: 0.8662, decode.d2.loss_dice: 1.2567, decode.d3.loss_cls: 1.3553, decode.d3.loss_mask: 0.8644, decode.d3.loss_dice: 1.2457, decode.d4.loss_cls: 1.3224, decode.d4.loss_mask: 0.8647, decode.d4.loss_dice: 1.2484, decode.d5.loss_cls: 1.3087, decode.d5.loss_mask: 0.8681, decode.d5.loss_dice: 1.2448, decode.d6.loss_cls: 1.2972, decode.d6.loss_mask: 0.8682, decode.d6.loss_dice: 1.2316, decode.d7.loss_cls: 1.2828, decode.d7.loss_mask: 0.8671, decode.d7.loss_dice: 1.2458, decode.d8.loss_cls: 1.2752, decode.d8.loss_mask: 0.8629, decode.d8.loss_dice: 1.2426, loss: 37.4458 2022-06-21 15:48:46,988 - mmseg - INFO - Iter [13150/40000] lr: 1.034e-05, eta: 4:07:09, time: 0.582, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2169, decode.loss_mask: 0.8935, decode.loss_dice: 1.2211, decode.d0.loss_cls: 3.6239, decode.d0.loss_mask: 0.9183, decode.d0.loss_dice: 1.4250, decode.d1.loss_cls: 1.5881, decode.d1.loss_mask: 0.9080, decode.d1.loss_dice: 1.2781, decode.d2.loss_cls: 1.3487, decode.d2.loss_mask: 0.8908, decode.d2.loss_dice: 1.2335, decode.d3.loss_cls: 1.2846, decode.d3.loss_mask: 0.8899, decode.d3.loss_dice: 1.2190, decode.d4.loss_cls: 1.2523, decode.d4.loss_mask: 0.8876, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 1.2469, decode.d5.loss_mask: 0.8854, decode.d5.loss_dice: 1.2164, decode.d6.loss_cls: 1.2328, decode.d6.loss_mask: 0.8860, decode.d6.loss_dice: 1.2177, decode.d7.loss_cls: 1.2158, decode.d7.loss_mask: 0.8940, decode.d7.loss_dice: 1.2202, decode.d8.loss_cls: 1.2169, decode.d8.loss_mask: 0.8933, decode.d8.loss_dice: 1.2205, loss: 36.6446 2022-06-21 15:49:15,994 - mmseg - INFO - Iter [13200/40000] lr: 1.032e-05, eta: 4:06:44, time: 0.580, data_time: 0.012, memory: 40943, decode.loss_cls: 1.1519, decode.loss_mask: 0.8671, decode.loss_dice: 1.2022, decode.d0.loss_cls: 3.6030, decode.d0.loss_mask: 0.8814, decode.d0.loss_dice: 1.3735, decode.d1.loss_cls: 1.5512, decode.d1.loss_mask: 0.8829, decode.d1.loss_dice: 1.2646, decode.d2.loss_cls: 1.3145, decode.d2.loss_mask: 0.8717, decode.d2.loss_dice: 1.2251, decode.d3.loss_cls: 1.2351, decode.d3.loss_mask: 0.8718, decode.d3.loss_dice: 1.2102, decode.d4.loss_cls: 1.2036, decode.d4.loss_mask: 0.8674, decode.d4.loss_dice: 1.2169, decode.d5.loss_cls: 1.1896, decode.d5.loss_mask: 0.8677, decode.d5.loss_dice: 1.2108, decode.d6.loss_cls: 1.1646, decode.d6.loss_mask: 0.8726, decode.d6.loss_dice: 1.2020, decode.d7.loss_cls: 1.1525, decode.d7.loss_mask: 0.8722, decode.d7.loss_dice: 1.2038, decode.d8.loss_cls: 1.1500, decode.d8.loss_mask: 0.8737, decode.d8.loss_dice: 1.2033, loss: 35.7568 2022-06-21 15:49:44,710 - mmseg - INFO - Iter [13250/40000] lr: 1.030e-05, eta: 4:06:19, time: 0.574, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2690, decode.loss_mask: 0.8803, decode.loss_dice: 1.2267, decode.d0.loss_cls: 3.7192, decode.d0.loss_mask: 0.9084, decode.d0.loss_dice: 1.4344, decode.d1.loss_cls: 1.6567, decode.d1.loss_mask: 0.9065, decode.d1.loss_dice: 1.2901, decode.d2.loss_cls: 1.4070, decode.d2.loss_mask: 0.8859, decode.d2.loss_dice: 1.2406, decode.d3.loss_cls: 1.3314, decode.d3.loss_mask: 0.8795, decode.d3.loss_dice: 1.2307, decode.d4.loss_cls: 1.2993, decode.d4.loss_mask: 0.8872, decode.d4.loss_dice: 1.2322, decode.d5.loss_cls: 1.2805, decode.d5.loss_mask: 0.8818, decode.d5.loss_dice: 1.2276, decode.d6.loss_cls: 1.2656, decode.d6.loss_mask: 0.8808, decode.d6.loss_dice: 1.2223, decode.d7.loss_cls: 1.2708, decode.d7.loss_mask: 0.8811, decode.d7.loss_dice: 1.2184, decode.d8.loss_cls: 1.2604, decode.d8.loss_mask: 0.8807, decode.d8.loss_dice: 1.2215, loss: 37.1765 2022-06-21 15:50:12,148 - mmseg - INFO - Iter [13300/40000] lr: 1.028e-05, eta: 4:05:51, time: 0.549, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2125, decode.loss_mask: 0.8651, decode.loss_dice: 1.2122, decode.d0.loss_cls: 3.6531, decode.d0.loss_mask: 0.8981, decode.d0.loss_dice: 1.4091, decode.d1.loss_cls: 1.5966, decode.d1.loss_mask: 0.8930, decode.d1.loss_dice: 1.2714, decode.d2.loss_cls: 1.3588, decode.d2.loss_mask: 0.8733, decode.d2.loss_dice: 1.2280, decode.d3.loss_cls: 1.2808, decode.d3.loss_mask: 0.8721, decode.d3.loss_dice: 1.2117, decode.d4.loss_cls: 1.2598, decode.d4.loss_mask: 0.8702, decode.d4.loss_dice: 1.2149, decode.d5.loss_cls: 1.2313, decode.d5.loss_mask: 0.8658, decode.d5.loss_dice: 1.2145, decode.d6.loss_cls: 1.2208, decode.d6.loss_mask: 0.8717, decode.d6.loss_dice: 1.2159, decode.d7.loss_cls: 1.2173, decode.d7.loss_mask: 0.8714, decode.d7.loss_dice: 1.2175, decode.d8.loss_cls: 1.2111, decode.d8.loss_mask: 0.8679, decode.d8.loss_dice: 1.2212, loss: 36.4070 2022-06-21 15:50:39,877 - mmseg - INFO - Iter [13350/40000] lr: 1.026e-05, eta: 4:05:24, time: 0.554, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2303, decode.loss_mask: 0.8763, decode.loss_dice: 1.2125, decode.d0.loss_cls: 3.6950, decode.d0.loss_mask: 0.8987, decode.d0.loss_dice: 1.4075, decode.d1.loss_cls: 1.5966, decode.d1.loss_mask: 0.9067, decode.d1.loss_dice: 1.2818, decode.d2.loss_cls: 1.3733, decode.d2.loss_mask: 0.8862, decode.d2.loss_dice: 1.2285, decode.d3.loss_cls: 1.3056, decode.d3.loss_mask: 0.8802, decode.d3.loss_dice: 1.2184, decode.d4.loss_cls: 1.2800, decode.d4.loss_mask: 0.8775, decode.d4.loss_dice: 1.2194, decode.d5.loss_cls: 1.2646, decode.d5.loss_mask: 0.8775, decode.d5.loss_dice: 1.2205, decode.d6.loss_cls: 1.2525, decode.d6.loss_mask: 0.8759, decode.d6.loss_dice: 1.2047, decode.d7.loss_cls: 1.2464, decode.d7.loss_mask: 0.8742, decode.d7.loss_dice: 1.2096, decode.d8.loss_cls: 1.2368, decode.d8.loss_mask: 0.8795, decode.d8.loss_dice: 1.2083, loss: 36.7249 2022-06-21 15:51:07,534 - mmseg - INFO - Iter [13400/40000] lr: 1.024e-05, eta: 4:04:56, time: 0.554, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1770, decode.loss_mask: 0.8667, decode.loss_dice: 1.2181, decode.d0.loss_cls: 3.5973, decode.d0.loss_mask: 0.8988, decode.d0.loss_dice: 1.4082, decode.d1.loss_cls: 1.5618, decode.d1.loss_mask: 0.8969, decode.d1.loss_dice: 1.2905, decode.d2.loss_cls: 1.3239, decode.d2.loss_mask: 0.8758, decode.d2.loss_dice: 1.2364, decode.d3.loss_cls: 1.2505, decode.d3.loss_mask: 0.8746, decode.d3.loss_dice: 1.2236, decode.d4.loss_cls: 1.2044, decode.d4.loss_mask: 0.8771, decode.d4.loss_dice: 1.2254, decode.d5.loss_cls: 1.1945, decode.d5.loss_mask: 0.8710, decode.d5.loss_dice: 1.2254, decode.d6.loss_cls: 1.1919, decode.d6.loss_mask: 0.8746, decode.d6.loss_dice: 1.2177, decode.d7.loss_cls: 1.1757, decode.d7.loss_mask: 0.8703, decode.d7.loss_dice: 1.2208, decode.d8.loss_cls: 1.1716, decode.d8.loss_mask: 0.8704, decode.d8.loss_dice: 1.2162, loss: 36.1069 2022-06-21 15:51:35,553 - mmseg - INFO - Iter [13450/40000] lr: 1.022e-05, eta: 4:04:29, time: 0.560, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1793, decode.loss_mask: 0.8768, decode.loss_dice: 1.2319, decode.d0.loss_cls: 3.6232, decode.d0.loss_mask: 0.8941, decode.d0.loss_dice: 1.4171, decode.d1.loss_cls: 1.5398, decode.d1.loss_mask: 0.9048, decode.d1.loss_dice: 1.3059, decode.d2.loss_cls: 1.3226, decode.d2.loss_mask: 0.8803, decode.d2.loss_dice: 1.2498, decode.d3.loss_cls: 1.2350, decode.d3.loss_mask: 0.8815, decode.d3.loss_dice: 1.2423, decode.d4.loss_cls: 1.2110, decode.d4.loss_mask: 0.8765, decode.d4.loss_dice: 1.2480, decode.d5.loss_cls: 1.1945, decode.d5.loss_mask: 0.8833, decode.d5.loss_dice: 1.2401, decode.d6.loss_cls: 1.1848, decode.d6.loss_mask: 0.8837, decode.d6.loss_dice: 1.2354, decode.d7.loss_cls: 1.1865, decode.d7.loss_mask: 0.8794, decode.d7.loss_dice: 1.2412, decode.d8.loss_cls: 1.1756, decode.d8.loss_mask: 0.8847, decode.d8.loss_dice: 1.2387, loss: 36.3478 2022-06-21 15:52:06,340 - mmseg - INFO - Iter [13500/40000] lr: 1.020e-05, eta: 4:04:08, time: 0.615, data_time: 0.061, memory: 40943, decode.loss_cls: 1.1717, decode.loss_mask: 0.8611, decode.loss_dice: 1.2232, decode.d0.loss_cls: 3.5839, decode.d0.loss_mask: 0.8930, decode.d0.loss_dice: 1.3989, decode.d1.loss_cls: 1.5335, decode.d1.loss_mask: 0.8859, decode.d1.loss_dice: 1.2824, decode.d2.loss_cls: 1.3090, decode.d2.loss_mask: 0.8673, decode.d2.loss_dice: 1.2355, decode.d3.loss_cls: 1.2453, decode.d3.loss_mask: 0.8674, decode.d3.loss_dice: 1.2224, decode.d4.loss_cls: 1.2116, decode.d4.loss_mask: 0.8646, decode.d4.loss_dice: 1.2268, decode.d5.loss_cls: 1.1855, decode.d5.loss_mask: 0.8699, decode.d5.loss_dice: 1.2231, decode.d6.loss_cls: 1.1820, decode.d6.loss_mask: 0.8689, decode.d6.loss_dice: 1.2176, decode.d7.loss_cls: 1.1727, decode.d7.loss_mask: 0.8645, decode.d7.loss_dice: 1.2195, decode.d8.loss_cls: 1.1754, decode.d8.loss_mask: 0.8652, decode.d8.loss_dice: 1.2195, loss: 35.9471 2022-06-21 15:52:35,142 - mmseg - INFO - Iter [13550/40000] lr: 1.018e-05, eta: 4:03:42, time: 0.576, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1625, decode.loss_mask: 0.8468, decode.loss_dice: 1.2042, decode.d0.loss_cls: 3.6196, decode.d0.loss_mask: 0.8684, decode.d0.loss_dice: 1.3969, decode.d1.loss_cls: 1.5365, decode.d1.loss_mask: 0.8687, decode.d1.loss_dice: 1.2767, decode.d2.loss_cls: 1.3109, decode.d2.loss_mask: 0.8529, decode.d2.loss_dice: 1.2254, decode.d3.loss_cls: 1.2459, decode.d3.loss_mask: 0.8446, decode.d3.loss_dice: 1.2068, decode.d4.loss_cls: 1.1992, decode.d4.loss_mask: 0.8432, decode.d4.loss_dice: 1.2092, decode.d5.loss_cls: 1.1807, decode.d5.loss_mask: 0.8442, decode.d5.loss_dice: 1.2113, decode.d6.loss_cls: 1.1672, decode.d6.loss_mask: 0.8455, decode.d6.loss_dice: 1.2026, decode.d7.loss_cls: 1.1582, decode.d7.loss_mask: 0.8466, decode.d7.loss_dice: 1.2086, decode.d8.loss_cls: 1.1555, decode.d8.loss_mask: 0.8440, decode.d8.loss_dice: 1.2030, loss: 35.5856 2022-06-21 15:53:02,505 - mmseg - INFO - Iter [13600/40000] lr: 1.016e-05, eta: 4:03:14, time: 0.548, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2256, decode.loss_mask: 0.8659, decode.loss_dice: 1.2465, decode.d0.loss_cls: 3.7250, decode.d0.loss_mask: 0.8903, decode.d0.loss_dice: 1.4593, decode.d1.loss_cls: 1.6244, decode.d1.loss_mask: 0.8915, decode.d1.loss_dice: 1.3211, decode.d2.loss_cls: 1.3946, decode.d2.loss_mask: 0.8696, decode.d2.loss_dice: 1.2629, decode.d3.loss_cls: 1.3067, decode.d3.loss_mask: 0.8628, decode.d3.loss_dice: 1.2518, decode.d4.loss_cls: 1.2860, decode.d4.loss_mask: 0.8649, decode.d4.loss_dice: 1.2537, decode.d5.loss_cls: 1.2585, decode.d5.loss_mask: 0.8616, decode.d5.loss_dice: 1.2490, decode.d6.loss_cls: 1.2353, decode.d6.loss_mask: 0.8640, decode.d6.loss_dice: 1.2407, decode.d7.loss_cls: 1.2327, decode.d7.loss_mask: 0.8631, decode.d7.loss_dice: 1.2475, decode.d8.loss_cls: 1.2119, decode.d8.loss_mask: 0.8648, decode.d8.loss_dice: 1.2520, loss: 36.9836 2022-06-21 15:53:30,007 - mmseg - INFO - Iter [13650/40000] lr: 1.015e-05, eta: 4:02:46, time: 0.550, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2148, decode.loss_mask: 0.8573, decode.loss_dice: 1.2032, decode.d0.loss_cls: 3.6706, decode.d0.loss_mask: 0.8836, decode.d0.loss_dice: 1.3977, decode.d1.loss_cls: 1.5809, decode.d1.loss_mask: 0.8778, decode.d1.loss_dice: 1.2693, decode.d2.loss_cls: 1.3677, decode.d2.loss_mask: 0.8592, decode.d2.loss_dice: 1.2167, decode.d3.loss_cls: 1.2912, decode.d3.loss_mask: 0.8629, decode.d3.loss_dice: 1.2046, decode.d4.loss_cls: 1.2466, decode.d4.loss_mask: 0.8658, decode.d4.loss_dice: 1.2085, decode.d5.loss_cls: 1.2346, decode.d5.loss_mask: 0.8625, decode.d5.loss_dice: 1.2191, decode.d6.loss_cls: 1.2181, decode.d6.loss_mask: 0.8700, decode.d6.loss_dice: 1.2083, decode.d7.loss_cls: 1.2126, decode.d7.loss_mask: 0.8663, decode.d7.loss_dice: 1.2101, decode.d8.loss_cls: 1.2112, decode.d8.loss_mask: 0.8603, decode.d8.loss_dice: 1.2109, loss: 36.2624 2022-06-21 15:53:58,243 - mmseg - INFO - Iter [13700/40000] lr: 1.013e-05, eta: 4:02:20, time: 0.564, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1909, decode.loss_mask: 0.8710, decode.loss_dice: 1.2182, decode.d0.loss_cls: 3.6345, decode.d0.loss_mask: 0.8982, decode.d0.loss_dice: 1.4211, decode.d1.loss_cls: 1.5598, decode.d1.loss_mask: 0.8950, decode.d1.loss_dice: 1.2859, decode.d2.loss_cls: 1.3379, decode.d2.loss_mask: 0.8778, decode.d2.loss_dice: 1.2325, decode.d3.loss_cls: 1.2661, decode.d3.loss_mask: 0.8733, decode.d3.loss_dice: 1.2194, decode.d4.loss_cls: 1.2422, decode.d4.loss_mask: 0.8734, decode.d4.loss_dice: 1.2173, decode.d5.loss_cls: 1.2183, decode.d5.loss_mask: 0.8723, decode.d5.loss_dice: 1.2241, decode.d6.loss_cls: 1.2005, decode.d6.loss_mask: 0.8737, decode.d6.loss_dice: 1.2198, decode.d7.loss_cls: 1.1855, decode.d7.loss_mask: 0.8750, decode.d7.loss_dice: 1.2217, decode.d8.loss_cls: 1.1937, decode.d8.loss_mask: 0.8726, decode.d8.loss_dice: 1.2190, loss: 36.2907 2022-06-21 15:54:25,034 - mmseg - INFO - Iter [13750/40000] lr: 1.011e-05, eta: 4:01:51, time: 0.536, data_time: 0.009, memory: 40943, decode.loss_cls: 1.2394, decode.loss_mask: 0.8541, decode.loss_dice: 1.2452, decode.d0.loss_cls: 3.7069, decode.d0.loss_mask: 0.8855, decode.d0.loss_dice: 1.4483, decode.d1.loss_cls: 1.6233, decode.d1.loss_mask: 0.8828, decode.d1.loss_dice: 1.3124, decode.d2.loss_cls: 1.3827, decode.d2.loss_mask: 0.8694, decode.d2.loss_dice: 1.2634, decode.d3.loss_cls: 1.2967, decode.d3.loss_mask: 0.8672, decode.d3.loss_dice: 1.2493, decode.d4.loss_cls: 1.2653, decode.d4.loss_mask: 0.8687, decode.d4.loss_dice: 1.2456, decode.d5.loss_cls: 1.2584, decode.d5.loss_mask: 0.8597, decode.d5.loss_dice: 1.2523, decode.d6.loss_cls: 1.2444, decode.d6.loss_mask: 0.8633, decode.d6.loss_dice: 1.2386, decode.d7.loss_cls: 1.2412, decode.d7.loss_mask: 0.8545, decode.d7.loss_dice: 1.2467, decode.d8.loss_cls: 1.2379, decode.d8.loss_mask: 0.8587, decode.d8.loss_dice: 1.2441, loss: 36.9061 2022-06-21 15:54:51,859 - mmseg - INFO - Iter [13800/40000] lr: 1.009e-05, eta: 4:01:21, time: 0.536, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1644, decode.loss_mask: 0.8521, decode.loss_dice: 1.1599, decode.d0.loss_cls: 3.5557, decode.d0.loss_mask: 0.8828, decode.d0.loss_dice: 1.3496, decode.d1.loss_cls: 1.5220, decode.d1.loss_mask: 0.8719, decode.d1.loss_dice: 1.2278, decode.d2.loss_cls: 1.3085, decode.d2.loss_mask: 0.8569, decode.d2.loss_dice: 1.1777, decode.d3.loss_cls: 1.2372, decode.d3.loss_mask: 0.8542, decode.d3.loss_dice: 1.1595, decode.d4.loss_cls: 1.2079, decode.d4.loss_mask: 0.8592, decode.d4.loss_dice: 1.1625, decode.d5.loss_cls: 1.1935, decode.d5.loss_mask: 0.8569, decode.d5.loss_dice: 1.1676, decode.d6.loss_cls: 1.1721, decode.d6.loss_mask: 0.8564, decode.d6.loss_dice: 1.1584, decode.d7.loss_cls: 1.1702, decode.d7.loss_mask: 0.8528, decode.d7.loss_dice: 1.1624, decode.d8.loss_cls: 1.1623, decode.d8.loss_mask: 0.8503, decode.d8.loss_dice: 1.1582, loss: 35.1709 2022-06-21 15:55:18,919 - mmseg - INFO - Iter [13850/40000] lr: 1.007e-05, eta: 4:00:53, time: 0.542, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1868, decode.loss_mask: 0.8533, decode.loss_dice: 1.1956, decode.d0.loss_cls: 3.5712, decode.d0.loss_mask: 0.8755, decode.d0.loss_dice: 1.3937, decode.d1.loss_cls: 1.5710, decode.d1.loss_mask: 0.8742, decode.d1.loss_dice: 1.2731, decode.d2.loss_cls: 1.3397, decode.d2.loss_mask: 0.8531, decode.d2.loss_dice: 1.2242, decode.d3.loss_cls: 1.2693, decode.d3.loss_mask: 0.8540, decode.d3.loss_dice: 1.2115, decode.d4.loss_cls: 1.2374, decode.d4.loss_mask: 0.8562, decode.d4.loss_dice: 1.2067, decode.d5.loss_cls: 1.2104, decode.d5.loss_mask: 0.8599, decode.d5.loss_dice: 1.2071, decode.d6.loss_cls: 1.2134, decode.d6.loss_mask: 0.8541, decode.d6.loss_dice: 1.2033, decode.d7.loss_cls: 1.1997, decode.d7.loss_mask: 0.8524, decode.d7.loss_dice: 1.2057, decode.d8.loss_cls: 1.1946, decode.d8.loss_mask: 0.8530, decode.d8.loss_dice: 1.2021, loss: 35.9020 2022-06-21 15:55:44,786 - mmseg - INFO - Iter [13900/40000] lr: 1.005e-05, eta: 4:00:22, time: 0.517, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2165, decode.loss_mask: 0.8861, decode.loss_dice: 1.2330, decode.d0.loss_cls: 3.6516, decode.d0.loss_mask: 0.9218, decode.d0.loss_dice: 1.4430, decode.d1.loss_cls: 1.6205, decode.d1.loss_mask: 0.9100, decode.d1.loss_dice: 1.3051, decode.d2.loss_cls: 1.3776, decode.d2.loss_mask: 0.8928, decode.d2.loss_dice: 1.2512, decode.d3.loss_cls: 1.2934, decode.d3.loss_mask: 0.8918, decode.d3.loss_dice: 1.2415, decode.d4.loss_cls: 1.2697, decode.d4.loss_mask: 0.8906, decode.d4.loss_dice: 1.2454, decode.d5.loss_cls: 1.2417, decode.d5.loss_mask: 0.8893, decode.d5.loss_dice: 1.2409, decode.d6.loss_cls: 1.2292, decode.d6.loss_mask: 0.8930, decode.d6.loss_dice: 1.2322, decode.d7.loss_cls: 1.2206, decode.d7.loss_mask: 0.8847, decode.d7.loss_dice: 1.2323, decode.d8.loss_cls: 1.2129, decode.d8.loss_mask: 0.8876, decode.d8.loss_dice: 1.2400, loss: 36.9458 2022-06-21 15:56:10,536 - mmseg - INFO - Iter [13950/40000] lr: 1.003e-05, eta: 3:59:51, time: 0.515, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1946, decode.loss_mask: 0.8858, decode.loss_dice: 1.2524, decode.d0.loss_cls: 3.5933, decode.d0.loss_mask: 0.9145, decode.d0.loss_dice: 1.4367, decode.d1.loss_cls: 1.5551, decode.d1.loss_mask: 0.9170, decode.d1.loss_dice: 1.3259, decode.d2.loss_cls: 1.3354, decode.d2.loss_mask: 0.8924, decode.d2.loss_dice: 1.2689, decode.d3.loss_cls: 1.2530, decode.d3.loss_mask: 0.8919, decode.d3.loss_dice: 1.2538, decode.d4.loss_cls: 1.2221, decode.d4.loss_mask: 0.8898, decode.d4.loss_dice: 1.2602, decode.d5.loss_cls: 1.2087, decode.d5.loss_mask: 0.8880, decode.d5.loss_dice: 1.2544, decode.d6.loss_cls: 1.1838, decode.d6.loss_mask: 0.8906, decode.d6.loss_dice: 1.2549, decode.d7.loss_cls: 1.1920, decode.d7.loss_mask: 0.8875, decode.d7.loss_dice: 1.2555, decode.d8.loss_cls: 1.1852, decode.d8.loss_mask: 0.8834, decode.d8.loss_dice: 1.2569, loss: 36.6837 2022-06-21 15:56:35,193 - mmseg - INFO - Saving checkpoint at 14000 iterations 2022-06-21 15:56:41,891 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 15:56:41,891 - mmseg - INFO - Iter [14000/40000] lr: 1.001e-05, eta: 3:59:30, time: 0.627, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1867, decode.loss_mask: 0.8447, decode.loss_dice: 1.2269, decode.d0.loss_cls: 3.5235, decode.d0.loss_mask: 0.8749, decode.d0.loss_dice: 1.4050, decode.d1.loss_cls: 1.5262, decode.d1.loss_mask: 0.8706, decode.d1.loss_dice: 1.2848, decode.d2.loss_cls: 1.3162, decode.d2.loss_mask: 0.8529, decode.d2.loss_dice: 1.2405, decode.d3.loss_cls: 1.2447, decode.d3.loss_mask: 0.8464, decode.d3.loss_dice: 1.2264, decode.d4.loss_cls: 1.2217, decode.d4.loss_mask: 0.8472, decode.d4.loss_dice: 1.2244, decode.d5.loss_cls: 1.2127, decode.d5.loss_mask: 0.8438, decode.d5.loss_dice: 1.2256, decode.d6.loss_cls: 1.1994, decode.d6.loss_mask: 0.8457, decode.d6.loss_dice: 1.2206, decode.d7.loss_cls: 1.1872, decode.d7.loss_mask: 0.8440, decode.d7.loss_dice: 1.2253, decode.d8.loss_cls: 1.1974, decode.d8.loss_mask: 0.8442, decode.d8.loss_dice: 1.2275, loss: 35.8370 2022-06-21 15:57:05,984 - mmseg - INFO - Iter [14050/40000] lr: 9.991e-06, eta: 3:58:56, time: 0.482, data_time: 0.012, memory: 40943, decode.loss_cls: 1.1605, decode.loss_mask: 0.8996, decode.loss_dice: 1.1931, decode.d0.loss_cls: 3.5484, decode.d0.loss_mask: 0.9274, decode.d0.loss_dice: 1.3925, decode.d1.loss_cls: 1.5135, decode.d1.loss_mask: 0.9183, decode.d1.loss_dice: 1.2602, decode.d2.loss_cls: 1.2962, decode.d2.loss_mask: 0.9018, decode.d2.loss_dice: 1.2181, decode.d3.loss_cls: 1.2340, decode.d3.loss_mask: 0.8932, decode.d3.loss_dice: 1.2014, decode.d4.loss_cls: 1.2033, decode.d4.loss_mask: 0.8948, decode.d4.loss_dice: 1.2059, decode.d5.loss_cls: 1.1933, decode.d5.loss_mask: 0.9011, decode.d5.loss_dice: 1.2035, decode.d6.loss_cls: 1.1806, decode.d6.loss_mask: 0.9007, decode.d6.loss_dice: 1.1967, decode.d7.loss_cls: 1.1777, decode.d7.loss_mask: 0.8982, decode.d7.loss_dice: 1.1993, decode.d8.loss_cls: 1.1641, decode.d8.loss_mask: 0.9003, decode.d8.loss_dice: 1.1994, loss: 35.9769 2022-06-21 15:57:33,444 - mmseg - INFO - Iter [14100/40000] lr: 9.972e-06, eta: 3:58:28, time: 0.549, data_time: 0.062, memory: 40943, decode.loss_cls: 1.1923, decode.loss_mask: 0.8279, decode.loss_dice: 1.2134, decode.d0.loss_cls: 3.5796, decode.d0.loss_mask: 0.8596, decode.d0.loss_dice: 1.4147, decode.d1.loss_cls: 1.5673, decode.d1.loss_mask: 0.8544, decode.d1.loss_dice: 1.2840, decode.d2.loss_cls: 1.3456, decode.d2.loss_mask: 0.8304, decode.d2.loss_dice: 1.2331, decode.d3.loss_cls: 1.2695, decode.d3.loss_mask: 0.8285, decode.d3.loss_dice: 1.2210, decode.d4.loss_cls: 1.2301, decode.d4.loss_mask: 0.8270, decode.d4.loss_dice: 1.2191, decode.d5.loss_cls: 1.2209, decode.d5.loss_mask: 0.8254, decode.d5.loss_dice: 1.2185, decode.d6.loss_cls: 1.2075, decode.d6.loss_mask: 0.8281, decode.d6.loss_dice: 1.2159, decode.d7.loss_cls: 1.2061, decode.d7.loss_mask: 0.8237, decode.d7.loss_dice: 1.2143, decode.d8.loss_cls: 1.1960, decode.d8.loss_mask: 0.8245, decode.d8.loss_dice: 1.2143, loss: 35.7928 2022-06-21 15:57:58,636 - mmseg - INFO - Iter [14150/40000] lr: 9.953e-06, eta: 3:57:56, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1072, decode.loss_mask: 0.8559, decode.loss_dice: 1.1727, decode.d0.loss_cls: 3.5057, decode.d0.loss_mask: 0.8923, decode.d0.loss_dice: 1.3737, decode.d1.loss_cls: 1.4870, decode.d1.loss_mask: 0.8849, decode.d1.loss_dice: 1.2517, decode.d2.loss_cls: 1.2652, decode.d2.loss_mask: 0.8617, decode.d2.loss_dice: 1.1920, decode.d3.loss_cls: 1.1818, decode.d3.loss_mask: 0.8589, decode.d3.loss_dice: 1.1848, decode.d4.loss_cls: 1.1598, decode.d4.loss_mask: 0.8551, decode.d4.loss_dice: 1.1842, decode.d5.loss_cls: 1.1480, decode.d5.loss_mask: 0.8543, decode.d5.loss_dice: 1.1801, decode.d6.loss_cls: 1.1320, decode.d6.loss_mask: 0.8577, decode.d6.loss_dice: 1.1755, decode.d7.loss_cls: 1.1151, decode.d7.loss_mask: 0.8602, decode.d7.loss_dice: 1.1777, decode.d8.loss_cls: 1.1161, decode.d8.loss_mask: 0.8597, decode.d8.loss_dice: 1.1692, loss: 34.9200 2022-06-21 15:58:22,558 - mmseg - INFO - Iter [14200/40000] lr: 9.934e-06, eta: 3:57:21, time: 0.478, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1381, decode.loss_mask: 0.8782, decode.loss_dice: 1.1749, decode.d0.loss_cls: 3.4503, decode.d0.loss_mask: 0.9062, decode.d0.loss_dice: 1.3713, decode.d1.loss_cls: 1.4795, decode.d1.loss_mask: 0.9075, decode.d1.loss_dice: 1.2424, decode.d2.loss_cls: 1.2773, decode.d2.loss_mask: 0.8802, decode.d2.loss_dice: 1.1955, decode.d3.loss_cls: 1.2088, decode.d3.loss_mask: 0.8769, decode.d3.loss_dice: 1.1838, decode.d4.loss_cls: 1.1785, decode.d4.loss_mask: 0.8756, decode.d4.loss_dice: 1.1883, decode.d5.loss_cls: 1.1650, decode.d5.loss_mask: 0.8742, decode.d5.loss_dice: 1.1832, decode.d6.loss_cls: 1.1430, decode.d6.loss_mask: 0.8763, decode.d6.loss_dice: 1.1771, decode.d7.loss_cls: 1.1471, decode.d7.loss_mask: 0.8729, decode.d7.loss_dice: 1.1777, decode.d8.loss_cls: 1.1372, decode.d8.loss_mask: 0.8754, decode.d8.loss_dice: 1.1768, loss: 35.2194 2022-06-21 15:58:47,079 - mmseg - INFO - Iter [14250/40000] lr: 9.914e-06, eta: 3:56:48, time: 0.491, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1805, decode.loss_mask: 0.8493, decode.loss_dice: 1.2357, decode.d0.loss_cls: 3.5411, decode.d0.loss_mask: 0.8744, decode.d0.loss_dice: 1.4184, decode.d1.loss_cls: 1.5426, decode.d1.loss_mask: 0.8686, decode.d1.loss_dice: 1.2990, decode.d2.loss_cls: 1.3285, decode.d2.loss_mask: 0.8573, decode.d2.loss_dice: 1.2530, decode.d3.loss_cls: 1.2414, decode.d3.loss_mask: 0.8546, decode.d3.loss_dice: 1.2350, decode.d4.loss_cls: 1.2176, decode.d4.loss_mask: 0.8496, decode.d4.loss_dice: 1.2390, decode.d5.loss_cls: 1.2003, decode.d5.loss_mask: 0.8480, decode.d5.loss_dice: 1.2345, decode.d6.loss_cls: 1.1845, decode.d6.loss_mask: 0.8486, decode.d6.loss_dice: 1.2293, decode.d7.loss_cls: 1.1755, decode.d7.loss_mask: 0.8515, decode.d7.loss_dice: 1.2336, decode.d8.loss_cls: 1.1762, decode.d8.loss_mask: 0.8474, decode.d8.loss_dice: 1.2373, loss: 35.9522 2022-06-21 15:59:11,894 - mmseg - INFO - Iter [14300/40000] lr: 9.895e-06, eta: 3:56:16, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1680, decode.loss_mask: 0.8640, decode.loss_dice: 1.2114, decode.d0.loss_cls: 3.5764, decode.d0.loss_mask: 0.8883, decode.d0.loss_dice: 1.4140, decode.d1.loss_cls: 1.5617, decode.d1.loss_mask: 0.8873, decode.d1.loss_dice: 1.2802, decode.d2.loss_cls: 1.3294, decode.d2.loss_mask: 0.8672, decode.d2.loss_dice: 1.2310, decode.d3.loss_cls: 1.2512, decode.d3.loss_mask: 0.8661, decode.d3.loss_dice: 1.2124, decode.d4.loss_cls: 1.2259, decode.d4.loss_mask: 0.8635, decode.d4.loss_dice: 1.2143, decode.d5.loss_cls: 1.2053, decode.d5.loss_mask: 0.8585, decode.d5.loss_dice: 1.2095, decode.d6.loss_cls: 1.1863, decode.d6.loss_mask: 0.8573, decode.d6.loss_dice: 1.2030, decode.d7.loss_cls: 1.1758, decode.d7.loss_mask: 0.8569, decode.d7.loss_dice: 1.2096, decode.d8.loss_cls: 1.1734, decode.d8.loss_mask: 0.8572, decode.d8.loss_dice: 1.2090, loss: 35.9143 2022-06-21 15:59:36,861 - mmseg - INFO - Iter [14350/40000] lr: 9.876e-06, eta: 3:55:43, time: 0.500, data_time: 0.012, memory: 40943, decode.loss_cls: 1.1803, decode.loss_mask: 0.8598, decode.loss_dice: 1.2156, decode.d0.loss_cls: 3.5697, decode.d0.loss_mask: 0.8945, decode.d0.loss_dice: 1.4306, decode.d1.loss_cls: 1.5401, decode.d1.loss_mask: 0.8909, decode.d1.loss_dice: 1.2963, decode.d2.loss_cls: 1.3282, decode.d2.loss_mask: 0.8691, decode.d2.loss_dice: 1.2364, decode.d3.loss_cls: 1.2584, decode.d3.loss_mask: 0.8647, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 1.2150, decode.d4.loss_mask: 0.8620, decode.d4.loss_dice: 1.2214, decode.d5.loss_cls: 1.2077, decode.d5.loss_mask: 0.8571, decode.d5.loss_dice: 1.2122, decode.d6.loss_cls: 1.1864, decode.d6.loss_mask: 0.8578, decode.d6.loss_dice: 1.2092, decode.d7.loss_cls: 1.1680, decode.d7.loss_mask: 0.8599, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 1.1760, decode.d8.loss_mask: 0.8636, decode.d8.loss_dice: 1.2100, loss: 35.9808 2022-06-21 16:00:01,019 - mmseg - INFO - Iter [14400/40000] lr: 9.857e-06, eta: 3:55:10, time: 0.483, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1668, decode.loss_mask: 0.8422, decode.loss_dice: 1.1692, decode.d0.loss_cls: 3.5132, decode.d0.loss_mask: 0.8773, decode.d0.loss_dice: 1.3665, decode.d1.loss_cls: 1.5469, decode.d1.loss_mask: 0.8627, decode.d1.loss_dice: 1.2404, decode.d2.loss_cls: 1.3317, decode.d2.loss_mask: 0.8426, decode.d2.loss_dice: 1.1878, decode.d3.loss_cls: 1.2500, decode.d3.loss_mask: 0.8481, decode.d3.loss_dice: 1.1777, decode.d4.loss_cls: 1.2117, decode.d4.loss_mask: 0.8481, decode.d4.loss_dice: 1.1768, decode.d5.loss_cls: 1.1997, decode.d5.loss_mask: 0.8433, decode.d5.loss_dice: 1.1727, decode.d6.loss_cls: 1.1776, decode.d6.loss_mask: 0.8431, decode.d6.loss_dice: 1.1681, decode.d7.loss_cls: 1.1793, decode.d7.loss_mask: 0.8367, decode.d7.loss_dice: 1.1693, decode.d8.loss_cls: 1.1739, decode.d8.loss_mask: 0.8412, decode.d8.loss_dice: 1.1704, loss: 35.2352 2022-06-21 16:00:24,900 - mmseg - INFO - Iter [14450/40000] lr: 9.837e-06, eta: 3:54:36, time: 0.478, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1729, decode.loss_mask: 0.8557, decode.loss_dice: 1.1981, decode.d0.loss_cls: 3.5518, decode.d0.loss_mask: 0.8974, decode.d0.loss_dice: 1.3884, decode.d1.loss_cls: 1.5265, decode.d1.loss_mask: 0.8941, decode.d1.loss_dice: 1.2740, decode.d2.loss_cls: 1.3095, decode.d2.loss_mask: 0.8720, decode.d2.loss_dice: 1.2120, decode.d3.loss_cls: 1.2386, decode.d3.loss_mask: 0.8660, decode.d3.loss_dice: 1.1979, decode.d4.loss_cls: 1.2135, decode.d4.loss_mask: 0.8651, decode.d4.loss_dice: 1.2051, decode.d5.loss_cls: 1.1960, decode.d5.loss_mask: 0.8649, decode.d5.loss_dice: 1.2061, decode.d6.loss_cls: 1.1831, decode.d6.loss_mask: 0.8642, decode.d6.loss_dice: 1.1938, decode.d7.loss_cls: 1.1752, decode.d7.loss_mask: 0.8634, decode.d7.loss_dice: 1.1968, decode.d8.loss_cls: 1.1712, decode.d8.loss_mask: 0.8622, decode.d8.loss_dice: 1.1997, loss: 35.7151 2022-06-21 16:00:49,011 - mmseg - INFO - Iter [14500/40000] lr: 9.818e-06, eta: 3:54:02, time: 0.482, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1609, decode.loss_mask: 0.8855, decode.loss_dice: 1.2132, decode.d0.loss_cls: 3.5529, decode.d0.loss_mask: 0.9005, decode.d0.loss_dice: 1.4093, decode.d1.loss_cls: 1.5268, decode.d1.loss_mask: 0.8960, decode.d1.loss_dice: 1.2857, decode.d2.loss_cls: 1.3129, decode.d2.loss_mask: 0.8814, decode.d2.loss_dice: 1.2373, decode.d3.loss_cls: 1.2338, decode.d3.loss_mask: 0.8771, decode.d3.loss_dice: 1.2227, decode.d4.loss_cls: 1.2056, decode.d4.loss_mask: 0.8767, decode.d4.loss_dice: 1.2255, decode.d5.loss_cls: 1.1900, decode.d5.loss_mask: 0.8816, decode.d5.loss_dice: 1.2219, decode.d6.loss_cls: 1.1715, decode.d6.loss_mask: 0.8816, decode.d6.loss_dice: 1.2165, decode.d7.loss_cls: 1.1759, decode.d7.loss_mask: 0.8785, decode.d7.loss_dice: 1.2182, decode.d8.loss_cls: 1.1629, decode.d8.loss_mask: 0.8817, decode.d8.loss_dice: 1.2153, loss: 35.9993 2022-06-21 16:01:13,900 - mmseg - INFO - Iter [14550/40000] lr: 9.799e-06, eta: 3:53:30, time: 0.497, data_time: 0.010, memory: 40943, decode.loss_cls: 1.2038, decode.loss_mask: 0.8478, decode.loss_dice: 1.2078, decode.d0.loss_cls: 3.5980, decode.d0.loss_mask: 0.8860, decode.d0.loss_dice: 1.4112, decode.d1.loss_cls: 1.5994, decode.d1.loss_mask: 0.8765, decode.d1.loss_dice: 1.2740, decode.d2.loss_cls: 1.3556, decode.d2.loss_mask: 0.8586, decode.d2.loss_dice: 1.2301, decode.d3.loss_cls: 1.2857, decode.d3.loss_mask: 0.8531, decode.d3.loss_dice: 1.2148, decode.d4.loss_cls: 1.2477, decode.d4.loss_mask: 0.8588, decode.d4.loss_dice: 1.2131, decode.d5.loss_cls: 1.2337, decode.d5.loss_mask: 0.8515, decode.d5.loss_dice: 1.2035, decode.d6.loss_cls: 1.2178, decode.d6.loss_mask: 0.8533, decode.d6.loss_dice: 1.2038, decode.d7.loss_cls: 1.2221, decode.d7.loss_mask: 0.8568, decode.d7.loss_dice: 1.2025, decode.d8.loss_cls: 1.2080, decode.d8.loss_mask: 0.8510, decode.d8.loss_dice: 1.2084, loss: 36.1344 2022-06-21 16:01:37,918 - mmseg - INFO - Iter [14600/40000] lr: 9.780e-06, eta: 3:52:56, time: 0.481, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1985, decode.loss_mask: 0.8423, decode.loss_dice: 1.2196, decode.d0.loss_cls: 3.6294, decode.d0.loss_mask: 0.8660, decode.d0.loss_dice: 1.4199, decode.d1.loss_cls: 1.5733, decode.d1.loss_mask: 0.8686, decode.d1.loss_dice: 1.2990, decode.d2.loss_cls: 1.3418, decode.d2.loss_mask: 0.8483, decode.d2.loss_dice: 1.2430, decode.d3.loss_cls: 1.2674, decode.d3.loss_mask: 0.8468, decode.d3.loss_dice: 1.2360, decode.d4.loss_cls: 1.2402, decode.d4.loss_mask: 0.8424, decode.d4.loss_dice: 1.2307, decode.d5.loss_cls: 1.2263, decode.d5.loss_mask: 0.8427, decode.d5.loss_dice: 1.2321, decode.d6.loss_cls: 1.2066, decode.d6.loss_mask: 0.8436, decode.d6.loss_dice: 1.2253, decode.d7.loss_cls: 1.2057, decode.d7.loss_mask: 0.8444, decode.d7.loss_dice: 1.2263, decode.d8.loss_cls: 1.1941, decode.d8.loss_mask: 0.8449, decode.d8.loss_dice: 1.2253, loss: 36.1304 2022-06-21 16:02:04,590 - mmseg - INFO - Iter [14650/40000] lr: 9.760e-06, eta: 3:52:27, time: 0.534, data_time: 0.058, memory: 40943, decode.loss_cls: 1.1249, decode.loss_mask: 0.8541, decode.loss_dice: 1.1646, decode.d0.loss_cls: 3.4990, decode.d0.loss_mask: 0.8949, decode.d0.loss_dice: 1.3674, decode.d1.loss_cls: 1.4848, decode.d1.loss_mask: 0.8891, decode.d1.loss_dice: 1.2313, decode.d2.loss_cls: 1.2811, decode.d2.loss_mask: 0.8622, decode.d2.loss_dice: 1.1815, decode.d3.loss_cls: 1.2016, decode.d3.loss_mask: 0.8605, decode.d3.loss_dice: 1.1693, decode.d4.loss_cls: 1.1671, decode.d4.loss_mask: 0.8593, decode.d4.loss_dice: 1.1727, decode.d5.loss_cls: 1.1520, decode.d5.loss_mask: 0.8531, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 1.1376, decode.d6.loss_mask: 0.8583, decode.d6.loss_dice: 1.1632, decode.d7.loss_cls: 1.1298, decode.d7.loss_mask: 0.8550, decode.d7.loss_dice: 1.1623, decode.d8.loss_cls: 1.1245, decode.d8.loss_mask: 0.8564, decode.d8.loss_dice: 1.1654, loss: 34.8876 2022-06-21 16:02:29,546 - mmseg - INFO - Iter [14700/40000] lr: 9.741e-06, eta: 3:51:55, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1540, decode.loss_mask: 0.8748, decode.loss_dice: 1.2086, decode.d0.loss_cls: 3.5423, decode.d0.loss_mask: 0.9148, decode.d0.loss_dice: 1.4157, decode.d1.loss_cls: 1.5270, decode.d1.loss_mask: 0.9003, decode.d1.loss_dice: 1.2874, decode.d2.loss_cls: 1.2887, decode.d2.loss_mask: 0.8925, decode.d2.loss_dice: 1.2438, decode.d3.loss_cls: 1.2165, decode.d3.loss_mask: 0.8859, decode.d3.loss_dice: 1.2251, decode.d4.loss_cls: 1.1762, decode.d4.loss_mask: 0.8852, decode.d4.loss_dice: 1.2197, decode.d5.loss_cls: 1.1794, decode.d5.loss_mask: 0.8766, decode.d5.loss_dice: 1.2192, decode.d6.loss_cls: 1.1673, decode.d6.loss_mask: 0.8787, decode.d6.loss_dice: 1.2153, decode.d7.loss_cls: 1.1629, decode.d7.loss_mask: 0.8760, decode.d7.loss_dice: 1.2181, decode.d8.loss_cls: 1.1530, decode.d8.loss_mask: 0.8764, decode.d8.loss_dice: 1.2168, loss: 35.8980 2022-06-21 16:02:54,571 - mmseg - INFO - Iter [14750/40000] lr: 9.722e-06, eta: 3:51:24, time: 0.501, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1350, decode.loss_mask: 0.8355, decode.loss_dice: 1.1357, decode.d0.loss_cls: 3.5034, decode.d0.loss_mask: 0.8653, decode.d0.loss_dice: 1.3329, decode.d1.loss_cls: 1.4967, decode.d1.loss_mask: 0.8574, decode.d1.loss_dice: 1.2037, decode.d2.loss_cls: 1.2716, decode.d2.loss_mask: 0.8422, decode.d2.loss_dice: 1.1585, decode.d3.loss_cls: 1.1968, decode.d3.loss_mask: 0.8363, decode.d3.loss_dice: 1.1418, decode.d4.loss_cls: 1.1705, decode.d4.loss_mask: 0.8341, decode.d4.loss_dice: 1.1374, decode.d5.loss_cls: 1.1475, decode.d5.loss_mask: 0.8403, decode.d5.loss_dice: 1.1393, decode.d6.loss_cls: 1.1417, decode.d6.loss_mask: 0.8408, decode.d6.loss_dice: 1.1341, decode.d7.loss_cls: 1.1332, decode.d7.loss_mask: 0.8393, decode.d7.loss_dice: 1.1382, decode.d8.loss_cls: 1.1247, decode.d8.loss_mask: 0.8386, decode.d8.loss_dice: 1.1365, loss: 34.4091 2022-06-21 16:03:20,008 - mmseg - INFO - Iter [14800/40000] lr: 9.703e-06, eta: 3:50:53, time: 0.509, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1685, decode.loss_mask: 0.8493, decode.loss_dice: 1.2126, decode.d0.loss_cls: 3.5846, decode.d0.loss_mask: 0.8727, decode.d0.loss_dice: 1.4050, decode.d1.loss_cls: 1.5268, decode.d1.loss_mask: 0.8719, decode.d1.loss_dice: 1.2806, decode.d2.loss_cls: 1.3233, decode.d2.loss_mask: 0.8539, decode.d2.loss_dice: 1.2255, decode.d3.loss_cls: 1.2460, decode.d3.loss_mask: 0.8527, decode.d3.loss_dice: 1.2190, decode.d4.loss_cls: 1.2116, decode.d4.loss_mask: 0.8455, decode.d4.loss_dice: 1.2146, decode.d5.loss_cls: 1.1926, decode.d5.loss_mask: 0.8435, decode.d5.loss_dice: 1.2161, decode.d6.loss_cls: 1.1789, decode.d6.loss_mask: 0.8524, decode.d6.loss_dice: 1.2111, decode.d7.loss_cls: 1.1737, decode.d7.loss_mask: 0.8474, decode.d7.loss_dice: 1.2165, decode.d8.loss_cls: 1.1754, decode.d8.loss_mask: 0.8421, decode.d8.loss_dice: 1.2139, loss: 35.7278 2022-06-21 16:03:44,551 - mmseg - INFO - Iter [14850/40000] lr: 9.683e-06, eta: 3:50:20, time: 0.490, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1108, decode.loss_mask: 0.8593, decode.loss_dice: 1.2051, decode.d0.loss_cls: 3.4309, decode.d0.loss_mask: 0.8876, decode.d0.loss_dice: 1.3874, decode.d1.loss_cls: 1.4387, decode.d1.loss_mask: 0.8894, decode.d1.loss_dice: 1.2799, decode.d2.loss_cls: 1.2385, decode.d2.loss_mask: 0.8700, decode.d2.loss_dice: 1.2200, decode.d3.loss_cls: 1.1726, decode.d3.loss_mask: 0.8703, decode.d3.loss_dice: 1.2142, decode.d4.loss_cls: 1.1471, decode.d4.loss_mask: 0.8657, decode.d4.loss_dice: 1.2112, decode.d5.loss_cls: 1.1326, decode.d5.loss_mask: 0.8607, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 1.1251, decode.d6.loss_mask: 0.8660, decode.d6.loss_dice: 1.2031, decode.d7.loss_cls: 1.1138, decode.d7.loss_mask: 0.8613, decode.d7.loss_dice: 1.2042, decode.d8.loss_cls: 1.1105, decode.d8.loss_mask: 0.8603, decode.d8.loss_dice: 1.2072, loss: 35.0527 2022-06-21 16:04:09,386 - mmseg - INFO - Iter [14900/40000] lr: 9.664e-06, eta: 3:49:48, time: 0.497, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1621, decode.loss_mask: 0.8647, decode.loss_dice: 1.1850, decode.d0.loss_cls: 3.4945, decode.d0.loss_mask: 0.8961, decode.d0.loss_dice: 1.3748, decode.d1.loss_cls: 1.5233, decode.d1.loss_mask: 0.8858, decode.d1.loss_dice: 1.2545, decode.d2.loss_cls: 1.3157, decode.d2.loss_mask: 0.8723, decode.d2.loss_dice: 1.1978, decode.d3.loss_cls: 1.2495, decode.d3.loss_mask: 0.8646, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 1.2076, decode.d4.loss_mask: 0.8717, decode.d4.loss_dice: 1.1885, decode.d5.loss_cls: 1.1948, decode.d5.loss_mask: 0.8701, decode.d5.loss_dice: 1.1868, decode.d6.loss_cls: 1.1750, decode.d6.loss_mask: 0.8664, decode.d6.loss_dice: 1.1779, decode.d7.loss_cls: 1.1703, decode.d7.loss_mask: 0.8666, decode.d7.loss_dice: 1.1837, decode.d8.loss_cls: 1.1597, decode.d8.loss_mask: 0.8616, decode.d8.loss_dice: 1.1853, loss: 35.4934 2022-06-21 16:04:34,059 - mmseg - INFO - Iter [14950/40000] lr: 9.645e-06, eta: 3:49:16, time: 0.493, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1139, decode.loss_mask: 0.8613, decode.loss_dice: 1.1904, decode.d0.loss_cls: 3.4592, decode.d0.loss_mask: 0.8885, decode.d0.loss_dice: 1.3694, decode.d1.loss_cls: 1.4771, decode.d1.loss_mask: 0.8832, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 1.2678, decode.d2.loss_mask: 0.8640, decode.d2.loss_dice: 1.2121, decode.d3.loss_cls: 1.1928, decode.d3.loss_mask: 0.8597, decode.d3.loss_dice: 1.1942, decode.d4.loss_cls: 1.1567, decode.d4.loss_mask: 0.8609, decode.d4.loss_dice: 1.2034, decode.d5.loss_cls: 1.1387, decode.d5.loss_mask: 0.8567, decode.d5.loss_dice: 1.1955, decode.d6.loss_cls: 1.1195, decode.d6.loss_mask: 0.8601, decode.d6.loss_dice: 1.1932, decode.d7.loss_cls: 1.1173, decode.d7.loss_mask: 0.8605, decode.d7.loss_dice: 1.1988, decode.d8.loss_cls: 1.1026, decode.d8.loss_mask: 0.8672, decode.d8.loss_dice: 1.1922, loss: 35.0101 2022-06-21 16:04:58,283 - mmseg - INFO - Saving checkpoint at 15000 iterations 2022-06-21 16:05:04,977 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:05:04,977 - mmseg - INFO - Iter [15000/40000] lr: 9.626e-06, eta: 3:48:54, time: 0.618, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1170, decode.loss_mask: 0.8517, decode.loss_dice: 1.2015, decode.d0.loss_cls: 3.4741, decode.d0.loss_mask: 0.8823, decode.d0.loss_dice: 1.3895, decode.d1.loss_cls: 1.4596, decode.d1.loss_mask: 0.8761, decode.d1.loss_dice: 1.2762, decode.d2.loss_cls: 1.2642, decode.d2.loss_mask: 0.8608, decode.d2.loss_dice: 1.2191, decode.d3.loss_cls: 1.1833, decode.d3.loss_mask: 0.8550, decode.d3.loss_dice: 1.2036, decode.d4.loss_cls: 1.1416, decode.d4.loss_mask: 0.8545, decode.d4.loss_dice: 1.2169, decode.d5.loss_cls: 1.1199, decode.d5.loss_mask: 0.8614, decode.d5.loss_dice: 1.2091, decode.d6.loss_cls: 1.1230, decode.d6.loss_mask: 0.8572, decode.d6.loss_dice: 1.1983, decode.d7.loss_cls: 1.1173, decode.d7.loss_mask: 0.8559, decode.d7.loss_dice: 1.1987, decode.d8.loss_cls: 1.1111, decode.d8.loss_mask: 0.8555, decode.d8.loss_dice: 1.2074, loss: 35.0417 2022-06-21 16:05:30,494 - mmseg - INFO - Iter [15050/40000] lr: 9.606e-06, eta: 3:48:24, time: 0.510, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1514, decode.loss_mask: 0.8344, decode.loss_dice: 1.1851, decode.d0.loss_cls: 3.4818, decode.d0.loss_mask: 0.8741, decode.d0.loss_dice: 1.3598, decode.d1.loss_cls: 1.5009, decode.d1.loss_mask: 0.8595, decode.d1.loss_dice: 1.2431, decode.d2.loss_cls: 1.3094, decode.d2.loss_mask: 0.8357, decode.d2.loss_dice: 1.1983, decode.d3.loss_cls: 1.2317, decode.d3.loss_mask: 0.8353, decode.d3.loss_dice: 1.1900, decode.d4.loss_cls: 1.2014, decode.d4.loss_mask: 0.8319, decode.d4.loss_dice: 1.1941, decode.d5.loss_cls: 1.1994, decode.d5.loss_mask: 0.8326, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 1.1721, decode.d6.loss_mask: 0.8356, decode.d6.loss_dice: 1.1804, decode.d7.loss_cls: 1.1611, decode.d7.loss_mask: 0.8365, decode.d7.loss_dice: 1.1821, decode.d8.loss_cls: 1.1638, decode.d8.loss_mask: 0.8376, decode.d8.loss_dice: 1.1815, loss: 35.0869 2022-06-21 16:05:55,786 - mmseg - INFO - Iter [15100/40000] lr: 9.587e-06, eta: 3:47:53, time: 0.507, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1440, decode.loss_mask: 0.8536, decode.loss_dice: 1.1898, decode.d0.loss_cls: 3.5104, decode.d0.loss_mask: 0.8902, decode.d0.loss_dice: 1.3851, decode.d1.loss_cls: 1.4936, decode.d1.loss_mask: 0.8805, decode.d1.loss_dice: 1.2636, decode.d2.loss_cls: 1.2853, decode.d2.loss_mask: 0.8632, decode.d2.loss_dice: 1.2153, decode.d3.loss_cls: 1.2186, decode.d3.loss_mask: 0.8584, decode.d3.loss_dice: 1.1969, decode.d4.loss_cls: 1.1825, decode.d4.loss_mask: 0.8576, decode.d4.loss_dice: 1.2084, decode.d5.loss_cls: 1.1619, decode.d5.loss_mask: 0.8544, decode.d5.loss_dice: 1.1993, decode.d6.loss_cls: 1.1495, decode.d6.loss_mask: 0.8561, decode.d6.loss_dice: 1.1927, decode.d7.loss_cls: 1.1441, decode.d7.loss_mask: 0.8509, decode.d7.loss_dice: 1.1913, decode.d8.loss_cls: 1.1447, decode.d8.loss_mask: 0.8538, decode.d8.loss_dice: 1.1907, loss: 35.2865 2022-06-21 16:06:22,359 - mmseg - INFO - Iter [15150/40000] lr: 9.568e-06, eta: 3:47:24, time: 0.531, data_time: 0.027, memory: 40943, decode.loss_cls: 1.1517, decode.loss_mask: 0.8596, decode.loss_dice: 1.2185, decode.d0.loss_cls: 3.5246, decode.d0.loss_mask: 0.8851, decode.d0.loss_dice: 1.4233, decode.d1.loss_cls: 1.5126, decode.d1.loss_mask: 0.8832, decode.d1.loss_dice: 1.3017, decode.d2.loss_cls: 1.3016, decode.d2.loss_mask: 0.8638, decode.d2.loss_dice: 1.2456, decode.d3.loss_cls: 1.2365, decode.d3.loss_mask: 0.8641, decode.d3.loss_dice: 1.2298, decode.d4.loss_cls: 1.2010, decode.d4.loss_mask: 0.8608, decode.d4.loss_dice: 1.2339, decode.d5.loss_cls: 1.1827, decode.d5.loss_mask: 0.8597, decode.d5.loss_dice: 1.2268, decode.d6.loss_cls: 1.1658, decode.d6.loss_mask: 0.8561, decode.d6.loss_dice: 1.2241, decode.d7.loss_cls: 1.1568, decode.d7.loss_mask: 0.8602, decode.d7.loss_dice: 1.2258, decode.d8.loss_cls: 1.1514, decode.d8.loss_mask: 0.8563, decode.d8.loss_dice: 1.2251, loss: 35.7880 2022-06-21 16:06:50,220 - mmseg - INFO - Iter [15200/40000] lr: 9.549e-06, eta: 3:46:57, time: 0.557, data_time: 0.057, memory: 40943, decode.loss_cls: 1.1137, decode.loss_mask: 0.8736, decode.loss_dice: 1.2070, decode.d0.loss_cls: 3.4769, decode.d0.loss_mask: 0.9144, decode.d0.loss_dice: 1.4072, decode.d1.loss_cls: 1.4648, decode.d1.loss_mask: 0.9116, decode.d1.loss_dice: 1.2757, decode.d2.loss_cls: 1.2377, decode.d2.loss_mask: 0.8914, decode.d2.loss_dice: 1.2298, decode.d3.loss_cls: 1.1715, decode.d3.loss_mask: 0.8892, decode.d3.loss_dice: 1.2078, decode.d4.loss_cls: 1.1427, decode.d4.loss_mask: 0.8814, decode.d4.loss_dice: 1.2101, decode.d5.loss_cls: 1.1316, decode.d5.loss_mask: 0.8823, decode.d5.loss_dice: 1.2051, decode.d6.loss_cls: 1.1183, decode.d6.loss_mask: 0.8800, decode.d6.loss_dice: 1.2037, decode.d7.loss_cls: 1.1153, decode.d7.loss_mask: 0.8778, decode.d7.loss_dice: 1.2032, decode.d8.loss_cls: 1.1189, decode.d8.loss_mask: 0.8791, decode.d8.loss_dice: 1.2032, loss: 35.3248 2022-06-21 16:07:15,106 - mmseg - INFO - Iter [15250/40000] lr: 9.529e-06, eta: 3:46:25, time: 0.498, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0984, decode.loss_mask: 0.8348, decode.loss_dice: 1.1601, decode.d0.loss_cls: 3.5276, decode.d0.loss_mask: 0.8550, decode.d0.loss_dice: 1.3667, decode.d1.loss_cls: 1.4606, decode.d1.loss_mask: 0.8579, decode.d1.loss_dice: 1.2266, decode.d2.loss_cls: 1.2621, decode.d2.loss_mask: 0.8296, decode.d2.loss_dice: 1.1784, decode.d3.loss_cls: 1.1842, decode.d3.loss_mask: 0.8312, decode.d3.loss_dice: 1.1711, decode.d4.loss_cls: 1.1471, decode.d4.loss_mask: 0.8297, decode.d4.loss_dice: 1.1708, decode.d5.loss_cls: 1.1305, decode.d5.loss_mask: 0.8307, decode.d5.loss_dice: 1.1685, decode.d6.loss_cls: 1.1052, decode.d6.loss_mask: 0.8306, decode.d6.loss_dice: 1.1634, decode.d7.loss_cls: 1.0978, decode.d7.loss_mask: 0.8391, decode.d7.loss_dice: 1.1671, decode.d8.loss_cls: 1.0960, decode.d8.loss_mask: 0.8336, decode.d8.loss_dice: 1.1702, loss: 34.4247 2022-06-21 16:07:40,547 - mmseg - INFO - Iter [15300/40000] lr: 9.510e-06, eta: 3:45:55, time: 0.509, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1669, decode.loss_mask: 0.8583, decode.loss_dice: 1.1834, decode.d0.loss_cls: 3.5446, decode.d0.loss_mask: 0.8850, decode.d0.loss_dice: 1.3793, decode.d1.loss_cls: 1.5339, decode.d1.loss_mask: 0.8803, decode.d1.loss_dice: 1.2428, decode.d2.loss_cls: 1.3253, decode.d2.loss_mask: 0.8601, decode.d2.loss_dice: 1.2035, decode.d3.loss_cls: 1.2455, decode.d3.loss_mask: 0.8617, decode.d3.loss_dice: 1.1936, decode.d4.loss_cls: 1.2097, decode.d4.loss_mask: 0.8584, decode.d4.loss_dice: 1.1987, decode.d5.loss_cls: 1.1984, decode.d5.loss_mask: 0.8565, decode.d5.loss_dice: 1.1864, decode.d6.loss_cls: 1.1764, decode.d6.loss_mask: 0.8627, decode.d6.loss_dice: 1.1806, decode.d7.loss_cls: 1.1731, decode.d7.loss_mask: 0.8634, decode.d7.loss_dice: 1.1884, decode.d8.loss_cls: 1.1573, decode.d8.loss_mask: 0.8624, decode.d8.loss_dice: 1.1874, loss: 35.5240 2022-06-21 16:08:05,010 - mmseg - INFO - Iter [15350/40000] lr: 9.491e-06, eta: 3:45:22, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1026, decode.loss_mask: 0.8427, decode.loss_dice: 1.2055, decode.d0.loss_cls: 3.4665, decode.d0.loss_mask: 0.8765, decode.d0.loss_dice: 1.3940, decode.d1.loss_cls: 1.4512, decode.d1.loss_mask: 0.8698, decode.d1.loss_dice: 1.2681, decode.d2.loss_cls: 1.2433, decode.d2.loss_mask: 0.8475, decode.d2.loss_dice: 1.2189, decode.d3.loss_cls: 1.1808, decode.d3.loss_mask: 0.8474, decode.d3.loss_dice: 1.2029, decode.d4.loss_cls: 1.1515, decode.d4.loss_mask: 0.8489, decode.d4.loss_dice: 1.2070, decode.d5.loss_cls: 1.1305, decode.d5.loss_mask: 0.8505, decode.d5.loss_dice: 1.2029, decode.d6.loss_cls: 1.1187, decode.d6.loss_mask: 0.8462, decode.d6.loss_dice: 1.2006, decode.d7.loss_cls: 1.1072, decode.d7.loss_mask: 0.8469, decode.d7.loss_dice: 1.2104, decode.d8.loss_cls: 1.1003, decode.d8.loss_mask: 0.8428, decode.d8.loss_dice: 1.2094, loss: 34.8916 2022-06-21 16:08:30,031 - mmseg - INFO - Iter [15400/40000] lr: 9.472e-06, eta: 3:44:51, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1217, decode.loss_mask: 0.8368, decode.loss_dice: 1.1655, decode.d0.loss_cls: 3.4782, decode.d0.loss_mask: 0.8702, decode.d0.loss_dice: 1.3646, decode.d1.loss_cls: 1.5002, decode.d1.loss_mask: 0.8594, decode.d1.loss_dice: 1.2351, decode.d2.loss_cls: 1.2773, decode.d2.loss_mask: 0.8393, decode.d2.loss_dice: 1.1894, decode.d3.loss_cls: 1.2028, decode.d3.loss_mask: 0.8374, decode.d3.loss_dice: 1.1687, decode.d4.loss_cls: 1.1768, decode.d4.loss_mask: 0.8345, decode.d4.loss_dice: 1.1714, decode.d5.loss_cls: 1.1524, decode.d5.loss_mask: 0.8359, decode.d5.loss_dice: 1.1657, decode.d6.loss_cls: 1.1323, decode.d6.loss_mask: 0.8352, decode.d6.loss_dice: 1.1587, decode.d7.loss_cls: 1.1286, decode.d7.loss_mask: 0.8356, decode.d7.loss_dice: 1.1635, decode.d8.loss_cls: 1.1252, decode.d8.loss_mask: 0.8351, decode.d8.loss_dice: 1.1645, loss: 34.6619 2022-06-21 16:08:54,956 - mmseg - INFO - Iter [15450/40000] lr: 9.452e-06, eta: 3:44:20, time: 0.498, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1350, decode.loss_mask: 0.8514, decode.loss_dice: 1.1799, decode.d0.loss_cls: 3.4849, decode.d0.loss_mask: 0.8741, decode.d0.loss_dice: 1.3719, decode.d1.loss_cls: 1.4977, decode.d1.loss_mask: 0.8815, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 1.2818, decode.d2.loss_mask: 0.8593, decode.d2.loss_dice: 1.1977, decode.d3.loss_cls: 1.2093, decode.d3.loss_mask: 0.8555, decode.d3.loss_dice: 1.1892, decode.d4.loss_cls: 1.1846, decode.d4.loss_mask: 0.8563, decode.d4.loss_dice: 1.1940, decode.d5.loss_cls: 1.1585, decode.d5.loss_mask: 0.8545, decode.d5.loss_dice: 1.1893, decode.d6.loss_cls: 1.1391, decode.d6.loss_mask: 0.8562, decode.d6.loss_dice: 1.1830, decode.d7.loss_cls: 1.1324, decode.d7.loss_mask: 0.8544, decode.d7.loss_dice: 1.1811, decode.d8.loss_cls: 1.1265, decode.d8.loss_mask: 0.8513, decode.d8.loss_dice: 1.1842, loss: 35.0519 2022-06-21 16:09:19,803 - mmseg - INFO - Iter [15500/40000] lr: 9.433e-06, eta: 3:43:48, time: 0.497, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1507, decode.loss_mask: 0.8501, decode.loss_dice: 1.2420, decode.d0.loss_cls: 3.4736, decode.d0.loss_mask: 0.8736, decode.d0.loss_dice: 1.4308, decode.d1.loss_cls: 1.4824, decode.d1.loss_mask: 0.8743, decode.d1.loss_dice: 1.3084, decode.d2.loss_cls: 1.2847, decode.d2.loss_mask: 0.8595, decode.d2.loss_dice: 1.2717, decode.d3.loss_cls: 1.2087, decode.d3.loss_mask: 0.8565, decode.d3.loss_dice: 1.2513, decode.d4.loss_cls: 1.1801, decode.d4.loss_mask: 0.8566, decode.d4.loss_dice: 1.2603, decode.d5.loss_cls: 1.1575, decode.d5.loss_mask: 0.8540, decode.d5.loss_dice: 1.2560, decode.d6.loss_cls: 1.1474, decode.d6.loss_mask: 0.8557, decode.d6.loss_dice: 1.2480, decode.d7.loss_cls: 1.1470, decode.d7.loss_mask: 0.8529, decode.d7.loss_dice: 1.2392, decode.d8.loss_cls: 1.1415, decode.d8.loss_mask: 0.8513, decode.d8.loss_dice: 1.2490, loss: 35.7149 2022-06-21 16:09:45,095 - mmseg - INFO - Iter [15550/40000] lr: 9.414e-06, eta: 3:43:18, time: 0.506, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1239, decode.loss_mask: 0.8420, decode.loss_dice: 1.2206, decode.d0.loss_cls: 3.4406, decode.d0.loss_mask: 0.8675, decode.d0.loss_dice: 1.3991, decode.d1.loss_cls: 1.4534, decode.d1.loss_mask: 0.8693, decode.d1.loss_dice: 1.2819, decode.d2.loss_cls: 1.2610, decode.d2.loss_mask: 0.8423, decode.d2.loss_dice: 1.2364, decode.d3.loss_cls: 1.1907, decode.d3.loss_mask: 0.8384, decode.d3.loss_dice: 1.2263, decode.d4.loss_cls: 1.1639, decode.d4.loss_mask: 0.8399, decode.d4.loss_dice: 1.2310, decode.d5.loss_cls: 1.1522, decode.d5.loss_mask: 0.8380, decode.d5.loss_dice: 1.2212, decode.d6.loss_cls: 1.1373, decode.d6.loss_mask: 0.8380, decode.d6.loss_dice: 1.2184, decode.d7.loss_cls: 1.1285, decode.d7.loss_mask: 0.8395, decode.d7.loss_dice: 1.2212, decode.d8.loss_cls: 1.1292, decode.d8.loss_mask: 0.8408, decode.d8.loss_dice: 1.2171, loss: 35.1096 2022-06-21 16:10:09,599 - mmseg - INFO - Iter [15600/40000] lr: 9.395e-06, eta: 3:42:46, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1002, decode.loss_mask: 0.8697, decode.loss_dice: 1.2028, decode.d0.loss_cls: 3.4359, decode.d0.loss_mask: 0.8967, decode.d0.loss_dice: 1.3807, decode.d1.loss_cls: 1.4500, decode.d1.loss_mask: 0.8916, decode.d1.loss_dice: 1.2566, decode.d2.loss_cls: 1.2291, decode.d2.loss_mask: 0.8758, decode.d2.loss_dice: 1.2191, decode.d3.loss_cls: 1.1567, decode.d3.loss_mask: 0.8744, decode.d3.loss_dice: 1.2040, decode.d4.loss_cls: 1.1355, decode.d4.loss_mask: 0.8701, decode.d4.loss_dice: 1.2070, decode.d5.loss_cls: 1.1268, decode.d5.loss_mask: 0.8701, decode.d5.loss_dice: 1.2027, decode.d6.loss_cls: 1.1208, decode.d6.loss_mask: 0.8631, decode.d6.loss_dice: 1.1959, decode.d7.loss_cls: 1.1011, decode.d7.loss_mask: 0.8704, decode.d7.loss_dice: 1.2048, decode.d8.loss_cls: 1.0919, decode.d8.loss_mask: 0.8716, decode.d8.loss_dice: 1.2068, loss: 34.9819 2022-06-21 16:10:34,126 - mmseg - INFO - Iter [15650/40000] lr: 9.375e-06, eta: 3:42:14, time: 0.491, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0672, decode.loss_mask: 0.8245, decode.loss_dice: 1.1736, decode.d0.loss_cls: 3.4296, decode.d0.loss_mask: 0.8542, decode.d0.loss_dice: 1.3655, decode.d1.loss_cls: 1.4243, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.2461, decode.d2.loss_cls: 1.2128, decode.d2.loss_mask: 0.8284, decode.d2.loss_dice: 1.1951, decode.d3.loss_cls: 1.1371, decode.d3.loss_mask: 0.8236, decode.d3.loss_dice: 1.1758, decode.d4.loss_cls: 1.1096, decode.d4.loss_mask: 0.8239, decode.d4.loss_dice: 1.1785, decode.d5.loss_cls: 1.0930, decode.d5.loss_mask: 0.8177, decode.d5.loss_dice: 1.1729, decode.d6.loss_cls: 1.0846, decode.d6.loss_mask: 0.8192, decode.d6.loss_dice: 1.1709, decode.d7.loss_cls: 1.0718, decode.d7.loss_mask: 0.8233, decode.d7.loss_dice: 1.1720, decode.d8.loss_cls: 1.0674, decode.d8.loss_mask: 0.8234, decode.d8.loss_dice: 1.1745, loss: 34.0113 2022-06-21 16:10:58,844 - mmseg - INFO - Iter [15700/40000] lr: 9.356e-06, eta: 3:41:42, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1317, decode.loss_mask: 0.8423, decode.loss_dice: 1.1715, decode.d0.loss_cls: 3.4675, decode.d0.loss_mask: 0.8828, decode.d0.loss_dice: 1.3742, decode.d1.loss_cls: 1.4821, decode.d1.loss_mask: 0.8725, decode.d1.loss_dice: 1.2557, decode.d2.loss_cls: 1.2624, decode.d2.loss_mask: 0.8510, decode.d2.loss_dice: 1.2141, decode.d3.loss_cls: 1.2020, decode.d3.loss_mask: 0.8449, decode.d3.loss_dice: 1.1909, decode.d4.loss_cls: 1.1611, decode.d4.loss_mask: 0.8510, decode.d4.loss_dice: 1.1952, decode.d5.loss_cls: 1.1480, decode.d5.loss_mask: 0.8449, decode.d5.loss_dice: 1.1873, decode.d6.loss_cls: 1.1291, decode.d6.loss_mask: 0.8449, decode.d6.loss_dice: 1.1791, decode.d7.loss_cls: 1.1324, decode.d7.loss_mask: 0.8375, decode.d7.loss_dice: 1.1813, decode.d8.loss_cls: 1.1156, decode.d8.loss_mask: 0.8451, decode.d8.loss_dice: 1.1828, loss: 34.8808 2022-06-21 16:11:26,691 - mmseg - INFO - Iter [15750/40000] lr: 9.337e-06, eta: 3:41:16, time: 0.558, data_time: 0.061, memory: 40943, decode.loss_cls: 1.1288, decode.loss_mask: 0.8453, decode.loss_dice: 1.1901, decode.d0.loss_cls: 3.4393, decode.d0.loss_mask: 0.8805, decode.d0.loss_dice: 1.3879, decode.d1.loss_cls: 1.4844, decode.d1.loss_mask: 0.8774, decode.d1.loss_dice: 1.2695, decode.d2.loss_cls: 1.2604, decode.d2.loss_mask: 0.8601, decode.d2.loss_dice: 1.2227, decode.d3.loss_cls: 1.2046, decode.d3.loss_mask: 0.8537, decode.d3.loss_dice: 1.2024, decode.d4.loss_cls: 1.1688, decode.d4.loss_mask: 0.8577, decode.d4.loss_dice: 1.2035, decode.d5.loss_cls: 1.1478, decode.d5.loss_mask: 0.8495, decode.d5.loss_dice: 1.2020, decode.d6.loss_cls: 1.1410, decode.d6.loss_mask: 0.8494, decode.d6.loss_dice: 1.1930, decode.d7.loss_cls: 1.1304, decode.d7.loss_mask: 0.8528, decode.d7.loss_dice: 1.1949, decode.d8.loss_cls: 1.1208, decode.d8.loss_mask: 0.8499, decode.d8.loss_dice: 1.1913, loss: 35.0598 2022-06-21 16:11:51,807 - mmseg - INFO - Iter [15800/40000] lr: 9.318e-06, eta: 3:40:45, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1041, decode.loss_mask: 0.8643, decode.loss_dice: 1.1594, decode.d0.loss_cls: 3.4634, decode.d0.loss_mask: 0.8961, decode.d0.loss_dice: 1.3584, decode.d1.loss_cls: 1.4684, decode.d1.loss_mask: 0.8869, decode.d1.loss_dice: 1.2353, decode.d2.loss_cls: 1.2482, decode.d2.loss_mask: 0.8704, decode.d2.loss_dice: 1.1866, decode.d3.loss_cls: 1.1781, decode.d3.loss_mask: 0.8723, decode.d3.loss_dice: 1.1656, decode.d4.loss_cls: 1.1469, decode.d4.loss_mask: 0.8668, decode.d4.loss_dice: 1.1736, decode.d5.loss_cls: 1.1360, decode.d5.loss_mask: 0.8682, decode.d5.loss_dice: 1.1596, decode.d6.loss_cls: 1.1170, decode.d6.loss_mask: 0.8676, decode.d6.loss_dice: 1.1585, decode.d7.loss_cls: 1.1083, decode.d7.loss_mask: 0.8675, decode.d7.loss_dice: 1.1681, decode.d8.loss_cls: 1.1018, decode.d8.loss_mask: 0.8646, decode.d8.loss_dice: 1.1654, loss: 34.7274 2022-06-21 16:12:17,824 - mmseg - INFO - Iter [15850/40000] lr: 9.298e-06, eta: 3:40:15, time: 0.520, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0931, decode.loss_mask: 0.8529, decode.loss_dice: 1.2016, decode.d0.loss_cls: 3.4030, decode.d0.loss_mask: 0.8752, decode.d0.loss_dice: 1.3816, decode.d1.loss_cls: 1.4392, decode.d1.loss_mask: 0.8771, decode.d1.loss_dice: 1.2706, decode.d2.loss_cls: 1.2333, decode.d2.loss_mask: 0.8560, decode.d2.loss_dice: 1.2254, decode.d3.loss_cls: 1.1595, decode.d3.loss_mask: 0.8570, decode.d3.loss_dice: 1.2174, decode.d4.loss_cls: 1.1262, decode.d4.loss_mask: 0.8553, decode.d4.loss_dice: 1.2174, decode.d5.loss_cls: 1.1103, decode.d5.loss_mask: 0.8548, decode.d5.loss_dice: 1.2075, decode.d6.loss_cls: 1.0972, decode.d6.loss_mask: 0.8525, decode.d6.loss_dice: 1.1977, decode.d7.loss_cls: 1.0920, decode.d7.loss_mask: 0.8507, decode.d7.loss_dice: 1.2009, decode.d8.loss_cls: 1.0917, decode.d8.loss_mask: 0.8521, decode.d8.loss_dice: 1.2033, loss: 34.7526 2022-06-21 16:12:43,770 - mmseg - INFO - Iter [15900/40000] lr: 9.279e-06, eta: 3:39:46, time: 0.519, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0926, decode.loss_mask: 0.8378, decode.loss_dice: 1.1645, decode.d0.loss_cls: 3.4230, decode.d0.loss_mask: 0.8720, decode.d0.loss_dice: 1.3675, decode.d1.loss_cls: 1.4552, decode.d1.loss_mask: 0.8615, decode.d1.loss_dice: 1.2460, decode.d2.loss_cls: 1.2442, decode.d2.loss_mask: 0.8405, decode.d2.loss_dice: 1.1817, decode.d3.loss_cls: 1.1651, decode.d3.loss_mask: 0.8364, decode.d3.loss_dice: 1.1672, decode.d4.loss_cls: 1.1347, decode.d4.loss_mask: 0.8386, decode.d4.loss_dice: 1.1719, decode.d5.loss_cls: 1.1295, decode.d5.loss_mask: 0.8347, decode.d5.loss_dice: 1.1657, decode.d6.loss_cls: 1.1093, decode.d6.loss_mask: 0.8324, decode.d6.loss_dice: 1.1586, decode.d7.loss_cls: 1.1124, decode.d7.loss_mask: 0.8340, decode.d7.loss_dice: 1.1599, decode.d8.loss_cls: 1.1062, decode.d8.loss_mask: 0.8373, decode.d8.loss_dice: 1.1579, loss: 34.3385 2022-06-21 16:13:09,970 - mmseg - INFO - Iter [15950/40000] lr: 9.260e-06, eta: 3:39:17, time: 0.524, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1202, decode.loss_mask: 0.8319, decode.loss_dice: 1.2312, decode.d0.loss_cls: 3.5034, decode.d0.loss_mask: 0.8511, decode.d0.loss_dice: 1.4199, decode.d1.loss_cls: 1.4976, decode.d1.loss_mask: 0.8514, decode.d1.loss_dice: 1.2970, decode.d2.loss_cls: 1.2760, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.2520, decode.d3.loss_cls: 1.1970, decode.d3.loss_mask: 0.8292, decode.d3.loss_dice: 1.2397, decode.d4.loss_cls: 1.1703, decode.d4.loss_mask: 0.8325, decode.d4.loss_dice: 1.2364, decode.d5.loss_cls: 1.1479, decode.d5.loss_mask: 0.8325, decode.d5.loss_dice: 1.2345, decode.d6.loss_cls: 1.1276, decode.d6.loss_mask: 0.8319, decode.d6.loss_dice: 1.2333, decode.d7.loss_cls: 1.1136, decode.d7.loss_mask: 0.8337, decode.d7.loss_dice: 1.2318, decode.d8.loss_cls: 1.1102, decode.d8.loss_mask: 0.8339, decode.d8.loss_dice: 1.2289, loss: 35.2284 2022-06-21 16:13:35,227 - mmseg - INFO - Saving checkpoint at 16000 iterations 2022-06-21 16:13:41,683 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:13:41,685 - mmseg - INFO - Iter [16000/40000] lr: 9.241e-06, eta: 3:38:56, time: 0.635, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0622, decode.loss_mask: 0.8412, decode.loss_dice: 1.1868, decode.d0.loss_cls: 3.3556, decode.d0.loss_mask: 0.8697, decode.d0.loss_dice: 1.3570, decode.d1.loss_cls: 1.3763, decode.d1.loss_mask: 0.8644, decode.d1.loss_dice: 1.2478, decode.d2.loss_cls: 1.1849, decode.d2.loss_mask: 0.8506, decode.d2.loss_dice: 1.2065, decode.d3.loss_cls: 1.1128, decode.d3.loss_mask: 0.8445, decode.d3.loss_dice: 1.1904, decode.d4.loss_cls: 1.0867, decode.d4.loss_mask: 0.8431, decode.d4.loss_dice: 1.2016, decode.d5.loss_cls: 1.0793, decode.d5.loss_mask: 0.8412, decode.d5.loss_dice: 1.1936, decode.d6.loss_cls: 1.0665, decode.d6.loss_mask: 0.8438, decode.d6.loss_dice: 1.1902, decode.d7.loss_cls: 1.0570, decode.d7.loss_mask: 0.8403, decode.d7.loss_dice: 1.1930, decode.d8.loss_cls: 1.0566, decode.d8.loss_mask: 0.8403, decode.d8.loss_dice: 1.1840, loss: 34.0681 2022-06-21 16:14:01,746 - mmseg - INFO - per class results: 2022-06-21 16:14:01,756 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.51 | 93.6 | | bicycle | 73.19 | 87.76 | | car | 58.95 | 69.24 | | motorcycle | 82.93 | 87.81 | | airplane | 83.43 | 94.7 | | bus | 85.39 | 90.78 | | train | 80.42 | 95.31 | | truck | 74.48 | 86.57 | | boat | 76.93 | 85.63 | | traffic light | 75.56 | 90.57 | | fire hydrant | 93.33 | 97.13 | | stop sign | 94.47 | 96.51 | | parking meter | 88.02 | 92.28 | | bench | 44.05 | 58.37 | | bird | 69.38 | 81.9 | | cat | 91.61 | 94.72 | | dog | 89.49 | 95.14 | | horse | 91.52 | 95.48 | | sheep | 87.47 | 90.93 | | cow | 95.78 | 98.07 | | elephant | 92.08 | 95.88 | | bear | 92.51 | 93.9 | | zebra | 91.71 | 95.02 | | giraffe | 87.0 | 92.25 | | backpack | 19.18 | 54.19 | | umbrella | 74.24 | 85.83 | | handbag | 22.44 | 37.35 | | tie | 0.0 | 0.0 | | suitcase | 77.32 | 90.88 | | frisbee | 93.63 | 96.71 | | skis | 33.62 | 49.06 | | snowboard | 64.35 | 80.55 | | sports ball | 79.09 | 93.27 | | kite | 67.49 | 81.9 | | baseball bat | 52.13 | 71.85 | | baseball glove | 2.66 | 2.76 | | skateboard | 65.53 | 83.14 | | surfboard | 89.02 | 94.09 | | tennis racket | 74.78 | 80.8 | | bottle | 61.68 | 76.21 | | wine glass | 82.62 | 93.98 | | cup | 61.51 | 78.25 | | fork | 35.81 | 58.19 | | knife | 69.54 | 80.87 | | spoon | 43.03 | 58.66 | | bowl | 55.66 | 64.52 | | banana | 63.54 | 69.53 | | apple | 72.15 | 87.33 | | sandwich | 92.33 | 98.0 | | orange | 62.86 | 83.63 | | broccoli | 79.69 | 98.27 | | carrot | 64.67 | 97.61 | | hot dog | 43.46 | 96.64 | | pizza | 93.97 | 95.89 | | donut | 51.39 | 87.71 | | cake | 75.29 | 81.11 | | chair | 59.29 | 74.81 | | couch | 66.1 | 85.74 | | potted plant | 31.17 | 35.4 | | bed | 71.31 | 86.5 | | dining table | 52.78 | 74.47 | | toilet | 85.34 | 93.74 | | tv | 73.97 | 94.1 | | laptop | 86.81 | 97.09 | | mouse | 65.82 | 74.34 | | remote | 69.46 | 89.58 | | keyboard | 85.58 | 96.82 | | cell phone | 80.56 | 94.87 | | microwave | 62.78 | 66.25 | | oven | 54.02 | 86.31 | | toaster | 0.0 | 0.0 | | sink | 55.06 | 70.09 | | refrigerator | 74.7 | 81.18 | | book | 74.16 | 89.28 | | clock | 78.29 | 82.77 | | vase | 60.71 | 94.53 | | scissors | 83.9 | 93.17 | | teddy bear | 83.42 | 91.82 | | hair drier | 0.0 | 0.0 | | toothbrush | 18.15 | 21.63 | | banner | 34.64 | 55.76 | | blanket | 0.0 | 0.0 | | branch | 34.86 | 35.43 | | bridge | 6.18 | 9.65 | | building-other | 56.12 | 80.42 | | bush | 39.41 | 54.81 | | cabinet | 22.53 | 38.36 | | cage | 0.0 | 0.0 | | cardboard | 9.33 | 9.82 | | carpet | 50.96 | 57.14 | | ceiling-other | 69.52 | 80.91 | | ceiling-tile | 0.0 | 0.0 | | cloth | 2.44 | 3.06 | | clothes | 24.65 | 38.18 | | clouds | 48.39 | 60.67 | | counter | 31.42 | 38.17 | | cupboard | 53.84 | 69.2 | | curtain | 64.92 | 81.62 | | desk-stuff | 37.02 | 44.89 | | dirt | 34.85 | 59.12 | | door-stuff | 41.79 | 52.12 | | fence | 40.87 | 77.43 | | floor-marble | 0.0 | 0.0 | | floor-other | 31.03 | 64.53 | | floor-stone | 0.0 | 0.0 | | floor-tile | 55.94 | 65.56 | | floor-wood | 63.44 | 69.68 | | flower | 24.03 | 59.12 | | fog | 0.0 | 0.0 | | food-other | 27.67 | 66.72 | | fruit | 78.63 | 82.25 | | furniture-other | 18.29 | 25.29 | | grass | 73.92 | 85.44 | | gravel | 34.26 | 41.3 | | ground-other | 11.06 | 27.08 | | hill | 32.41 | 49.01 | | house | 33.59 | 42.76 | | leaves | 0.59 | 0.6 | | light | 35.19 | 50.58 | | mat | 0.0 | 0.0 | | metal | 17.52 | 20.98 | | mirror-stuff | 29.2 | 44.85 | | moss | 0.0 | 0.0 | | mountain | 26.01 | 41.98 | | mud | 0.0 | 0.0 | | napkin | 0.0 | 0.0 | | net | 25.85 | 27.46 | | paper | 27.65 | 57.25 | | pavement | 42.14 | 56.73 | | pillow | 0.0 | 0.0 | | plant-other | 29.13 | 47.21 | | plastic | 0.0 | 0.0 | | platform | 39.73 | 41.0 | | playingfield | 71.36 | 82.2 | | railing | 11.54 | 17.22 | | railroad | 59.13 | 74.97 | | river | 0.0 | 0.0 | | road | 67.34 | 78.42 | | rock | 55.69 | 81.58 | | roof | 36.34 | 61.76 | | rug | 55.73 | 65.94 | | salad | 0.0 | 0.0 | | sand | 70.94 | 82.52 | | sea | 69.42 | 89.51 | | shelf | 23.46 | 39.62 | | sky-other | 61.2 | 79.62 | | skyscraper | 10.31 | 11.77 | | snow | 91.71 | 94.1 | | solid-other | nan | nan | | stairs | 33.51 | 48.5 | | stone | 1.09 | 1.22 | | straw | 16.39 | 33.34 | | structural-other | 20.53 | 40.17 | | table | 5.61 | 8.24 | | tent | 3.56 | 3.86 | | textile-other | 20.28 | 26.84 | | towel | 32.04 | 46.63 | | tree | 79.11 | 86.65 | | vegetable | 25.67 | 42.64 | | wall-brick | 42.52 | 60.0 | | wall-concrete | 20.88 | 22.08 | | wall-other | 62.51 | 81.89 | | wall-panel | 0.0 | 0.0 | | wall-stone | 17.33 | 20.24 | | wall-tile | 46.37 | 77.58 | | wall-wood | 40.51 | 55.95 | | water-other | 25.98 | 40.69 | | waterdrops | nan | nan | | window-blind | 33.96 | 64.33 | | window-other | 47.17 | 63.89 | | wood | 12.27 | 25.06 | +------------------+-------+-------+ 2022-06-21 16:14:01,757 - mmseg - INFO - Summary: 2022-06-21 16:14:01,757 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 73.94 | 48.03 | 59.56 | +-------+-------+-------+ 2022-06-21 16:14:01,760 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_12000.pth was removed 2022-06-21 16:14:07,360 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2022-06-21 16:14:07,360 - mmseg - INFO - Best mIoU is 0.4803 at 16000 iter. 2022-06-21 16:14:07,365 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:14:07,365 - mmseg - INFO - Iter(val) [125] aAcc: 0.7394, mIoU: 0.4803, mAcc: 0.5956, IoU.person: 0.8751, IoU.bicycle: 0.7319, IoU.car: 0.5895, IoU.motorcycle: 0.8293, IoU.airplane: 0.8343, IoU.bus: 0.8539, IoU.train: 0.8042, IoU.truck: 0.7448, IoU.boat: 0.7693, IoU.traffic light: 0.7556, IoU.fire hydrant: 0.9333, IoU.stop sign: 0.9447, IoU.parking meter: 0.8802, IoU.bench: 0.4405, IoU.bird: 0.6938, IoU.cat: 0.9161, IoU.dog: 0.8949, IoU.horse: 0.9152, IoU.sheep: 0.8747, IoU.cow: 0.9578, IoU.elephant: 0.9208, IoU.bear: 0.9251, IoU.zebra: 0.9171, IoU.giraffe: 0.8700, IoU.backpack: 0.1918, IoU.umbrella: 0.7424, IoU.handbag: 0.2244, IoU.tie: 0.0000, IoU.suitcase: 0.7732, IoU.frisbee: 0.9363, IoU.skis: 0.3362, IoU.snowboard: 0.6435, IoU.sports ball: 0.7909, IoU.kite: 0.6749, IoU.baseball bat: 0.5213, IoU.baseball glove: 0.0266, IoU.skateboard: 0.6553, IoU.surfboard: 0.8902, IoU.tennis racket: 0.7478, IoU.bottle: 0.6168, IoU.wine glass: 0.8262, IoU.cup: 0.6151, IoU.fork: 0.3581, IoU.knife: 0.6954, IoU.spoon: 0.4303, IoU.bowl: 0.5566, IoU.banana: 0.6354, IoU.apple: 0.7215, IoU.sandwich: 0.9233, IoU.orange: 0.6286, IoU.broccoli: 0.7969, IoU.carrot: 0.6467, IoU.hot dog: 0.4346, IoU.pizza: 0.9397, IoU.donut: 0.5139, IoU.cake: 0.7529, IoU.chair: 0.5929, IoU.couch: 0.6610, IoU.potted plant: 0.3117, IoU.bed: 0.7131, IoU.dining table: 0.5278, IoU.toilet: 0.8534, IoU.tv: 0.7397, IoU.laptop: 0.8681, IoU.mouse: 0.6582, IoU.remote: 0.6946, IoU.keyboard: 0.8558, IoU.cell phone: 0.8056, IoU.microwave: 0.6278, IoU.oven: 0.5402, IoU.toaster: 0.0000, IoU.sink: 0.5506, IoU.refrigerator: 0.7470, IoU.book: 0.7416, IoU.clock: 0.7829, IoU.vase: 0.6071, IoU.scissors: 0.8390, IoU.teddy bear: 0.8342, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1815, IoU.banner: 0.3464, IoU.blanket: 0.0000, IoU.branch: 0.3486, IoU.bridge: 0.0618, IoU.building-other: 0.5612, IoU.bush: 0.3941, IoU.cabinet: 0.2253, IoU.cage: 0.0000, IoU.cardboard: 0.0933, IoU.carpet: 0.5096, IoU.ceiling-other: 0.6952, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0244, IoU.clothes: 0.2465, IoU.clouds: 0.4839, IoU.counter: 0.3142, IoU.cupboard: 0.5384, IoU.curtain: 0.6492, IoU.desk-stuff: 0.3702, IoU.dirt: 0.3485, IoU.door-stuff: 0.4179, IoU.fence: 0.4087, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3103, IoU.floor-stone: 0.0000, IoU.floor-tile: 0.5594, IoU.floor-wood: 0.6344, IoU.flower: 0.2403, IoU.fog: 0.0000, IoU.food-other: 0.2767, IoU.fruit: 0.7863, IoU.furniture-other: 0.1829, IoU.grass: 0.7392, IoU.gravel: 0.3426, IoU.ground-other: 0.1106, IoU.hill: 0.3241, IoU.house: 0.3359, IoU.leaves: 0.0059, IoU.light: 0.3519, IoU.mat: 0.0000, IoU.metal: 0.1752, IoU.mirror-stuff: 0.2920, IoU.moss: 0.0000, IoU.mountain: 0.2601, IoU.mud: 0.0000, IoU.napkin: 0.0000, IoU.net: 0.2585, IoU.paper: 0.2765, IoU.pavement: 0.4214, IoU.pillow: 0.0000, IoU.plant-other: 0.2913, IoU.plastic: 0.0000, IoU.platform: 0.3973, IoU.playingfield: 0.7136, IoU.railing: 0.1154, IoU.railroad: 0.5913, IoU.river: 0.0000, IoU.road: 0.6734, IoU.rock: 0.5569, IoU.roof: 0.3634, IoU.rug: 0.5573, IoU.salad: 0.0000, IoU.sand: 0.7094, IoU.sea: 0.6942, IoU.shelf: 0.2346, IoU.sky-other: 0.6120, IoU.skyscraper: 0.1031, IoU.snow: 0.9171, IoU.solid-other: nan, IoU.stairs: 0.3351, IoU.stone: 0.0109, IoU.straw: 0.1639, IoU.structural-other: 0.2053, IoU.table: 0.0561, IoU.tent: 0.0356, IoU.textile-other: 0.2028, IoU.towel: 0.3204, IoU.tree: 0.7911, IoU.vegetable: 0.2567, IoU.wall-brick: 0.4252, IoU.wall-concrete: 0.2088, IoU.wall-other: 0.6251, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.1733, IoU.wall-tile: 0.4637, IoU.wall-wood: 0.4051, IoU.water-other: 0.2598, IoU.waterdrops: nan, IoU.window-blind: 0.3396, IoU.window-other: 0.4717, IoU.wood: 0.1227, Acc.person: 0.9360, Acc.bicycle: 0.8776, Acc.car: 0.6924, Acc.motorcycle: 0.8781, Acc.airplane: 0.9470, Acc.bus: 0.9078, Acc.train: 0.9531, Acc.truck: 0.8657, Acc.boat: 0.8563, Acc.traffic light: 0.9057, Acc.fire hydrant: 0.9713, Acc.stop sign: 0.9651, Acc.parking meter: 0.9228, Acc.bench: 0.5837, Acc.bird: 0.8190, Acc.cat: 0.9472, Acc.dog: 0.9514, Acc.horse: 0.9548, Acc.sheep: 0.9093, Acc.cow: 0.9807, Acc.elephant: 0.9588, Acc.bear: 0.9390, Acc.zebra: 0.9502, Acc.giraffe: 0.9225, Acc.backpack: 0.5419, Acc.umbrella: 0.8583, Acc.handbag: 0.3735, Acc.tie: 0.0000, Acc.suitcase: 0.9088, Acc.frisbee: 0.9671, Acc.skis: 0.4906, Acc.snowboard: 0.8055, Acc.sports ball: 0.9327, Acc.kite: 0.8190, Acc.baseball bat: 0.7185, Acc.baseball glove: 0.0276, Acc.skateboard: 0.8314, Acc.surfboard: 0.9409, Acc.tennis racket: 0.8080, Acc.bottle: 0.7621, Acc.wine glass: 0.9398, Acc.cup: 0.7825, Acc.fork: 0.5819, Acc.knife: 0.8087, Acc.spoon: 0.5866, Acc.bowl: 0.6452, Acc.banana: 0.6953, Acc.apple: 0.8733, Acc.sandwich: 0.9800, Acc.orange: 0.8363, Acc.broccoli: 0.9827, Acc.carrot: 0.9761, Acc.hot dog: 0.9664, Acc.pizza: 0.9589, Acc.donut: 0.8771, Acc.cake: 0.8111, Acc.chair: 0.7481, Acc.couch: 0.8574, Acc.potted plant: 0.3540, Acc.bed: 0.8650, Acc.dining table: 0.7447, Acc.toilet: 0.9374, Acc.tv: 0.9410, Acc.laptop: 0.9709, Acc.mouse: 0.7434, Acc.remote: 0.8958, Acc.keyboard: 0.9682, Acc.cell phone: 0.9487, Acc.microwave: 0.6625, Acc.oven: 0.8631, Acc.toaster: 0.0000, Acc.sink: 0.7009, Acc.refrigerator: 0.8118, Acc.book: 0.8928, Acc.clock: 0.8277, Acc.vase: 0.9453, Acc.scissors: 0.9317, Acc.teddy bear: 0.9182, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2163, Acc.banner: 0.5576, Acc.blanket: 0.0000, Acc.branch: 0.3543, Acc.bridge: 0.0965, Acc.building-other: 0.8042, Acc.bush: 0.5481, Acc.cabinet: 0.3836, Acc.cage: 0.0000, Acc.cardboard: 0.0982, Acc.carpet: 0.5714, Acc.ceiling-other: 0.8091, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0306, Acc.clothes: 0.3818, Acc.clouds: 0.6067, Acc.counter: 0.3817, Acc.cupboard: 0.6920, Acc.curtain: 0.8162, Acc.desk-stuff: 0.4489, Acc.dirt: 0.5912, Acc.door-stuff: 0.5212, Acc.fence: 0.7743, Acc.floor-marble: 0.0000, Acc.floor-other: 0.6453, Acc.floor-stone: 0.0000, Acc.floor-tile: 0.6556, Acc.floor-wood: 0.6968, Acc.flower: 0.5912, Acc.fog: 0.0000, Acc.food-other: 0.6672, Acc.fruit: 0.8225, Acc.furniture-other: 0.2529, Acc.grass: 0.8544, Acc.gravel: 0.4130, Acc.ground-other: 0.2708, Acc.hill: 0.4901, Acc.house: 0.4276, Acc.leaves: 0.0060, Acc.light: 0.5058, Acc.mat: 0.0000, Acc.metal: 0.2098, Acc.mirror-stuff: 0.4485, Acc.moss: 0.0000, Acc.mountain: 0.4198, Acc.mud: 0.0000, Acc.napkin: 0.0000, Acc.net: 0.2746, Acc.paper: 0.5725, Acc.pavement: 0.5673, Acc.pillow: 0.0000, Acc.plant-other: 0.4721, Acc.plastic: 0.0000, Acc.platform: 0.4100, Acc.playingfield: 0.8220, Acc.railing: 0.1722, Acc.railroad: 0.7497, Acc.river: 0.0000, Acc.road: 0.7842, Acc.rock: 0.8158, Acc.roof: 0.6176, Acc.rug: 0.6594, Acc.salad: 0.0000, Acc.sand: 0.8252, Acc.sea: 0.8951, Acc.shelf: 0.3962, Acc.sky-other: 0.7962, Acc.skyscraper: 0.1177, Acc.snow: 0.9410, Acc.solid-other: nan, Acc.stairs: 0.4850, Acc.stone: 0.0122, Acc.straw: 0.3334, Acc.structural-other: 0.4017, Acc.table: 0.0824, Acc.tent: 0.0386, Acc.textile-other: 0.2684, Acc.towel: 0.4663, Acc.tree: 0.8665, Acc.vegetable: 0.4264, Acc.wall-brick: 0.6000, Acc.wall-concrete: 0.2208, Acc.wall-other: 0.8189, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2024, Acc.wall-tile: 0.7758, Acc.wall-wood: 0.5595, Acc.water-other: 0.4069, Acc.waterdrops: nan, Acc.window-blind: 0.6433, Acc.window-other: 0.6389, Acc.wood: 0.2506 2022-06-21 16:14:31,577 - mmseg - INFO - Iter [16050/40000] lr: 9.221e-06, eta: 3:39:02, time: 0.998, data_time: 0.523, memory: 40943, decode.loss_cls: 1.1266, decode.loss_mask: 0.8433, decode.loss_dice: 1.1914, decode.d0.loss_cls: 3.4701, decode.d0.loss_mask: 0.8751, decode.d0.loss_dice: 1.3616, decode.d1.loss_cls: 1.4890, decode.d1.loss_mask: 0.8722, decode.d1.loss_dice: 1.2521, decode.d2.loss_cls: 1.2699, decode.d2.loss_mask: 0.8539, decode.d2.loss_dice: 1.2061, decode.d3.loss_cls: 1.2091, decode.d3.loss_mask: 0.8404, decode.d3.loss_dice: 1.1882, decode.d4.loss_cls: 1.1723, decode.d4.loss_mask: 0.8454, decode.d4.loss_dice: 1.1902, decode.d5.loss_cls: 1.1589, decode.d5.loss_mask: 0.8434, decode.d5.loss_dice: 1.1887, decode.d6.loss_cls: 1.1550, decode.d6.loss_mask: 0.8420, decode.d6.loss_dice: 1.1827, decode.d7.loss_cls: 1.1313, decode.d7.loss_mask: 0.8446, decode.d7.loss_dice: 1.1984, decode.d8.loss_cls: 1.1227, decode.d8.loss_mask: 0.8421, decode.d8.loss_dice: 1.1934, loss: 34.9599 2022-06-21 16:14:56,870 - mmseg - INFO - Iter [16100/40000] lr: 9.202e-06, eta: 3:38:32, time: 0.507, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1139, decode.loss_mask: 0.8516, decode.loss_dice: 1.1834, decode.d0.loss_cls: 3.4403, decode.d0.loss_mask: 0.8865, decode.d0.loss_dice: 1.3790, decode.d1.loss_cls: 1.4860, decode.d1.loss_mask: 0.8707, decode.d1.loss_dice: 1.2515, decode.d2.loss_cls: 1.2645, decode.d2.loss_mask: 0.8573, decode.d2.loss_dice: 1.2040, decode.d3.loss_cls: 1.2003, decode.d3.loss_mask: 0.8482, decode.d3.loss_dice: 1.1918, decode.d4.loss_cls: 1.1621, decode.d4.loss_mask: 0.8545, decode.d4.loss_dice: 1.1923, decode.d5.loss_cls: 1.1476, decode.d5.loss_mask: 0.8561, decode.d5.loss_dice: 1.1917, decode.d6.loss_cls: 1.1369, decode.d6.loss_mask: 0.8552, decode.d6.loss_dice: 1.1842, decode.d7.loss_cls: 1.1161, decode.d7.loss_mask: 0.8561, decode.d7.loss_dice: 1.1847, decode.d8.loss_cls: 1.1187, decode.d8.loss_mask: 0.8538, decode.d8.loss_dice: 1.1852, loss: 34.9244 2022-06-21 16:15:21,948 - mmseg - INFO - Iter [16150/40000] lr: 9.183e-06, eta: 3:38:01, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0930, decode.loss_mask: 0.8640, decode.loss_dice: 1.1850, decode.d0.loss_cls: 3.4314, decode.d0.loss_mask: 0.9040, decode.d0.loss_dice: 1.3744, decode.d1.loss_cls: 1.4350, decode.d1.loss_mask: 0.8975, decode.d1.loss_dice: 1.2631, decode.d2.loss_cls: 1.2244, decode.d2.loss_mask: 0.8716, decode.d2.loss_dice: 1.2109, decode.d3.loss_cls: 1.1535, decode.d3.loss_mask: 0.8659, decode.d3.loss_dice: 1.1815, decode.d4.loss_cls: 1.1272, decode.d4.loss_mask: 0.8673, decode.d4.loss_dice: 1.1873, decode.d5.loss_cls: 1.1117, decode.d5.loss_mask: 0.8644, decode.d5.loss_dice: 1.1935, decode.d6.loss_cls: 1.0885, decode.d6.loss_mask: 0.8691, decode.d6.loss_dice: 1.1861, decode.d7.loss_cls: 1.0832, decode.d7.loss_mask: 0.8699, decode.d7.loss_dice: 1.1925, decode.d8.loss_cls: 1.0849, decode.d8.loss_mask: 0.8698, decode.d8.loss_dice: 1.1858, loss: 34.7363 2022-06-21 16:15:46,459 - mmseg - INFO - Iter [16200/40000] lr: 9.164e-06, eta: 3:37:29, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1304, decode.loss_mask: 0.8551, decode.loss_dice: 1.2178, decode.d0.loss_cls: 3.4303, decode.d0.loss_mask: 0.8788, decode.d0.loss_dice: 1.3998, decode.d1.loss_cls: 1.4781, decode.d1.loss_mask: 0.8784, decode.d1.loss_dice: 1.2813, decode.d2.loss_cls: 1.2860, decode.d2.loss_mask: 0.8535, decode.d2.loss_dice: 1.2334, decode.d3.loss_cls: 1.2103, decode.d3.loss_mask: 0.8535, decode.d3.loss_dice: 1.2257, decode.d4.loss_cls: 1.1799, decode.d4.loss_mask: 0.8534, decode.d4.loss_dice: 1.2256, decode.d5.loss_cls: 1.1725, decode.d5.loss_mask: 0.8483, decode.d5.loss_dice: 1.2179, decode.d6.loss_cls: 1.1503, decode.d6.loss_mask: 0.8487, decode.d6.loss_dice: 1.2197, decode.d7.loss_cls: 1.1411, decode.d7.loss_mask: 0.8554, decode.d7.loss_dice: 1.2153, decode.d8.loss_cls: 1.1307, decode.d8.loss_mask: 0.8520, decode.d8.loss_dice: 1.2145, loss: 35.3380 2022-06-21 16:16:11,420 - mmseg - INFO - Iter [16250/40000] lr: 9.144e-06, eta: 3:36:58, time: 0.499, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0714, decode.loss_mask: 0.8545, decode.loss_dice: 1.1981, decode.d0.loss_cls: 3.3474, decode.d0.loss_mask: 0.8800, decode.d0.loss_dice: 1.3724, decode.d1.loss_cls: 1.4246, decode.d1.loss_mask: 0.8726, decode.d1.loss_dice: 1.2659, decode.d2.loss_cls: 1.2184, decode.d2.loss_mask: 0.8537, decode.d2.loss_dice: 1.2200, decode.d3.loss_cls: 1.1429, decode.d3.loss_mask: 0.8536, decode.d3.loss_dice: 1.2098, decode.d4.loss_cls: 1.1114, decode.d4.loss_mask: 0.8543, decode.d4.loss_dice: 1.2030, decode.d5.loss_cls: 1.0842, decode.d5.loss_mask: 0.8557, decode.d5.loss_dice: 1.2015, decode.d6.loss_cls: 1.0755, decode.d6.loss_mask: 0.8497, decode.d6.loss_dice: 1.2007, decode.d7.loss_cls: 1.0681, decode.d7.loss_mask: 0.8509, decode.d7.loss_dice: 1.1946, decode.d8.loss_cls: 1.0697, decode.d8.loss_mask: 0.8477, decode.d8.loss_dice: 1.1917, loss: 34.4440 2022-06-21 16:16:40,544 - mmseg - INFO - Iter [16300/40000] lr: 9.125e-06, eta: 3:36:33, time: 0.582, data_time: 0.058, memory: 40943, decode.loss_cls: 1.0801, decode.loss_mask: 0.8651, decode.loss_dice: 1.1810, decode.d0.loss_cls: 3.3879, decode.d0.loss_mask: 0.8899, decode.d0.loss_dice: 1.3814, decode.d1.loss_cls: 1.4425, decode.d1.loss_mask: 0.8886, decode.d1.loss_dice: 1.2607, decode.d2.loss_cls: 1.2340, decode.d2.loss_mask: 0.8728, decode.d2.loss_dice: 1.2032, decode.d3.loss_cls: 1.1550, decode.d3.loss_mask: 0.8682, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 1.1255, decode.d4.loss_mask: 0.8669, decode.d4.loss_dice: 1.1948, decode.d5.loss_cls: 1.0983, decode.d5.loss_mask: 0.8646, decode.d5.loss_dice: 1.1924, decode.d6.loss_cls: 1.0850, decode.d6.loss_mask: 0.8681, decode.d6.loss_dice: 1.1907, decode.d7.loss_cls: 1.0738, decode.d7.loss_mask: 0.8659, decode.d7.loss_dice: 1.1899, decode.d8.loss_cls: 1.0741, decode.d8.loss_mask: 0.8643, decode.d8.loss_dice: 1.1883, loss: 34.6401 2022-06-21 16:17:06,624 - mmseg - INFO - Iter [16350/40000] lr: 9.106e-06, eta: 3:36:04, time: 0.522, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0565, decode.loss_mask: 0.8459, decode.loss_dice: 1.1642, decode.d0.loss_cls: 3.3464, decode.d0.loss_mask: 0.8699, decode.d0.loss_dice: 1.3421, decode.d1.loss_cls: 1.4005, decode.d1.loss_mask: 0.8739, decode.d1.loss_dice: 1.2274, decode.d2.loss_cls: 1.1891, decode.d2.loss_mask: 0.8594, decode.d2.loss_dice: 1.1794, decode.d3.loss_cls: 1.1105, decode.d3.loss_mask: 0.8581, decode.d3.loss_dice: 1.1752, decode.d4.loss_cls: 1.0963, decode.d4.loss_mask: 0.8540, decode.d4.loss_dice: 1.1720, decode.d5.loss_cls: 1.0821, decode.d5.loss_mask: 0.8539, decode.d5.loss_dice: 1.1653, decode.d6.loss_cls: 1.0610, decode.d6.loss_mask: 0.8498, decode.d6.loss_dice: 1.1569, decode.d7.loss_cls: 1.0574, decode.d7.loss_mask: 0.8491, decode.d7.loss_dice: 1.1683, decode.d8.loss_cls: 1.0449, decode.d8.loss_mask: 0.8480, decode.d8.loss_dice: 1.1624, loss: 33.9199 2022-06-21 16:17:34,819 - mmseg - INFO - Iter [16400/40000] lr: 9.087e-06, eta: 3:35:37, time: 0.563, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0924, decode.loss_mask: 0.8349, decode.loss_dice: 1.2170, decode.d0.loss_cls: 3.4153, decode.d0.loss_mask: 0.8571, decode.d0.loss_dice: 1.3973, decode.d1.loss_cls: 1.4476, decode.d1.loss_mask: 0.8510, decode.d1.loss_dice: 1.2878, decode.d2.loss_cls: 1.2349, decode.d2.loss_mask: 0.8298, decode.d2.loss_dice: 1.2341, decode.d3.loss_cls: 1.1459, decode.d3.loss_mask: 0.8316, decode.d3.loss_dice: 1.2276, decode.d4.loss_cls: 1.1271, decode.d4.loss_mask: 0.8299, decode.d4.loss_dice: 1.2321, decode.d5.loss_cls: 1.1104, decode.d5.loss_mask: 0.8341, decode.d5.loss_dice: 1.2321, decode.d6.loss_cls: 1.1015, decode.d6.loss_mask: 0.8347, decode.d6.loss_dice: 1.2211, decode.d7.loss_cls: 1.0966, decode.d7.loss_mask: 0.8325, decode.d7.loss_dice: 1.2240, decode.d8.loss_cls: 1.0925, decode.d8.loss_mask: 0.8277, decode.d8.loss_dice: 1.2236, loss: 34.7243 2022-06-21 16:18:05,610 - mmseg - INFO - Iter [16450/40000] lr: 9.067e-06, eta: 3:35:15, time: 0.616, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0809, decode.loss_mask: 0.8340, decode.loss_dice: 1.1715, decode.d0.loss_cls: 3.3884, decode.d0.loss_mask: 0.8709, decode.d0.loss_dice: 1.3723, decode.d1.loss_cls: 1.4300, decode.d1.loss_mask: 0.8618, decode.d1.loss_dice: 1.2496, decode.d2.loss_cls: 1.2296, decode.d2.loss_mask: 0.8409, decode.d2.loss_dice: 1.1975, decode.d3.loss_cls: 1.1478, decode.d3.loss_mask: 0.8378, decode.d3.loss_dice: 1.1865, decode.d4.loss_cls: 1.1281, decode.d4.loss_mask: 0.8349, decode.d4.loss_dice: 1.1789, decode.d5.loss_cls: 1.1036, decode.d5.loss_mask: 0.8345, decode.d5.loss_dice: 1.1789, decode.d6.loss_cls: 1.0899, decode.d6.loss_mask: 0.8361, decode.d6.loss_dice: 1.1662, decode.d7.loss_cls: 1.0799, decode.d7.loss_mask: 0.8344, decode.d7.loss_dice: 1.1794, decode.d8.loss_cls: 1.0791, decode.d8.loss_mask: 0.8353, decode.d8.loss_dice: 1.1776, loss: 34.2363 2022-06-21 16:18:35,503 - mmseg - INFO - Iter [16500/40000] lr: 9.048e-06, eta: 3:34:51, time: 0.599, data_time: 0.012, memory: 40943, decode.loss_cls: 1.1313, decode.loss_mask: 0.8522, decode.loss_dice: 1.2005, decode.d0.loss_cls: 3.4502, decode.d0.loss_mask: 0.8778, decode.d0.loss_dice: 1.4008, decode.d1.loss_cls: 1.4697, decode.d1.loss_mask: 0.8737, decode.d1.loss_dice: 1.2735, decode.d2.loss_cls: 1.2611, decode.d2.loss_mask: 0.8540, decode.d2.loss_dice: 1.2205, decode.d3.loss_cls: 1.1948, decode.d3.loss_mask: 0.8501, decode.d3.loss_dice: 1.2117, decode.d4.loss_cls: 1.1610, decode.d4.loss_mask: 0.8507, decode.d4.loss_dice: 1.2110, decode.d5.loss_cls: 1.1434, decode.d5.loss_mask: 0.8488, decode.d5.loss_dice: 1.2094, decode.d6.loss_cls: 1.1353, decode.d6.loss_mask: 0.8449, decode.d6.loss_dice: 1.2005, decode.d7.loss_cls: 1.1268, decode.d7.loss_mask: 0.8502, decode.d7.loss_dice: 1.2071, decode.d8.loss_cls: 1.1299, decode.d8.loss_mask: 0.8498, decode.d8.loss_dice: 1.2003, loss: 35.0914 2022-06-21 16:19:06,715 - mmseg - INFO - Iter [16550/40000] lr: 9.029e-06, eta: 3:34:29, time: 0.624, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1056, decode.loss_mask: 0.8130, decode.loss_dice: 1.2133, decode.d0.loss_cls: 3.4641, decode.d0.loss_mask: 0.8513, decode.d0.loss_dice: 1.4156, decode.d1.loss_cls: 1.4738, decode.d1.loss_mask: 0.8439, decode.d1.loss_dice: 1.2864, decode.d2.loss_cls: 1.2622, decode.d2.loss_mask: 0.8266, decode.d2.loss_dice: 1.2335, decode.d3.loss_cls: 1.1832, decode.d3.loss_mask: 0.8276, decode.d3.loss_dice: 1.2202, decode.d4.loss_cls: 1.1460, decode.d4.loss_mask: 0.8207, decode.d4.loss_dice: 1.2219, decode.d5.loss_cls: 1.1369, decode.d5.loss_mask: 0.8180, decode.d5.loss_dice: 1.2277, decode.d6.loss_cls: 1.1122, decode.d6.loss_mask: 0.8195, decode.d6.loss_dice: 1.2166, decode.d7.loss_cls: 1.1047, decode.d7.loss_mask: 0.8196, decode.d7.loss_dice: 1.2135, decode.d8.loss_cls: 1.1040, decode.d8.loss_mask: 0.8202, decode.d8.loss_dice: 1.2155, loss: 34.8172 2022-06-21 16:19:37,224 - mmseg - INFO - Iter [16600/40000] lr: 9.010e-06, eta: 3:34:06, time: 0.610, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0549, decode.loss_mask: 0.8369, decode.loss_dice: 1.2071, decode.d0.loss_cls: 3.4207, decode.d0.loss_mask: 0.8730, decode.d0.loss_dice: 1.3981, decode.d1.loss_cls: 1.4224, decode.d1.loss_mask: 0.8618, decode.d1.loss_dice: 1.2658, decode.d2.loss_cls: 1.2105, decode.d2.loss_mask: 0.8428, decode.d2.loss_dice: 1.2152, decode.d3.loss_cls: 1.1295, decode.d3.loss_mask: 0.8367, decode.d3.loss_dice: 1.2012, decode.d4.loss_cls: 1.0985, decode.d4.loss_mask: 0.8401, decode.d4.loss_dice: 1.2086, decode.d5.loss_cls: 1.0797, decode.d5.loss_mask: 0.8403, decode.d5.loss_dice: 1.2032, decode.d6.loss_cls: 1.0616, decode.d6.loss_mask: 0.8359, decode.d6.loss_dice: 1.2028, decode.d7.loss_cls: 1.0549, decode.d7.loss_mask: 0.8415, decode.d7.loss_dice: 1.2067, decode.d8.loss_cls: 1.0559, decode.d8.loss_mask: 0.8391, decode.d8.loss_dice: 1.1971, loss: 34.3426 2022-06-21 16:20:07,184 - mmseg - INFO - Iter [16650/40000] lr: 8.990e-06, eta: 3:33:42, time: 0.600, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0846, decode.loss_mask: 0.8515, decode.loss_dice: 1.1979, decode.d0.loss_cls: 3.4681, decode.d0.loss_mask: 0.8924, decode.d0.loss_dice: 1.4094, decode.d1.loss_cls: 1.4541, decode.d1.loss_mask: 0.8937, decode.d1.loss_dice: 1.2708, decode.d2.loss_cls: 1.2407, decode.d2.loss_mask: 0.8684, decode.d2.loss_dice: 1.2283, decode.d3.loss_cls: 1.1752, decode.d3.loss_mask: 0.8592, decode.d3.loss_dice: 1.2075, decode.d4.loss_cls: 1.1394, decode.d4.loss_mask: 0.8564, decode.d4.loss_dice: 1.2005, decode.d5.loss_cls: 1.1185, decode.d5.loss_mask: 0.8598, decode.d5.loss_dice: 1.2030, decode.d6.loss_cls: 1.1030, decode.d6.loss_mask: 0.8551, decode.d6.loss_dice: 1.1996, decode.d7.loss_cls: 1.0933, decode.d7.loss_mask: 0.8561, decode.d7.loss_dice: 1.1982, decode.d8.loss_cls: 1.0910, decode.d8.loss_mask: 0.8522, decode.d8.loss_dice: 1.1929, loss: 34.9209 2022-06-21 16:20:36,664 - mmseg - INFO - Iter [16700/40000] lr: 8.971e-06, eta: 3:33:17, time: 0.589, data_time: 0.009, memory: 40943, decode.loss_cls: 1.1097, decode.loss_mask: 0.8393, decode.loss_dice: 1.1693, decode.d0.loss_cls: 3.4247, decode.d0.loss_mask: 0.8712, decode.d0.loss_dice: 1.3582, decode.d1.loss_cls: 1.4708, decode.d1.loss_mask: 0.8695, decode.d1.loss_dice: 1.2379, decode.d2.loss_cls: 1.2539, decode.d2.loss_mask: 0.8508, decode.d2.loss_dice: 1.1897, decode.d3.loss_cls: 1.1724, decode.d3.loss_mask: 0.8508, decode.d3.loss_dice: 1.1794, decode.d4.loss_cls: 1.1396, decode.d4.loss_mask: 0.8528, decode.d4.loss_dice: 1.1819, decode.d5.loss_cls: 1.1262, decode.d5.loss_mask: 0.8472, decode.d5.loss_dice: 1.1760, decode.d6.loss_cls: 1.1151, decode.d6.loss_mask: 0.8461, decode.d6.loss_dice: 1.1710, decode.d7.loss_cls: 1.1059, decode.d7.loss_mask: 0.8443, decode.d7.loss_dice: 1.1721, decode.d8.loss_cls: 1.1023, decode.d8.loss_mask: 0.8415, decode.d8.loss_dice: 1.1723, loss: 34.5420 2022-06-21 16:21:05,915 - mmseg - INFO - Iter [16750/40000] lr: 8.952e-06, eta: 3:32:52, time: 0.585, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0468, decode.loss_mask: 0.8621, decode.loss_dice: 1.1636, decode.d0.loss_cls: 3.3314, decode.d0.loss_mask: 0.8893, decode.d0.loss_dice: 1.3370, decode.d1.loss_cls: 1.3856, decode.d1.loss_mask: 0.8765, decode.d1.loss_dice: 1.2393, decode.d2.loss_cls: 1.1815, decode.d2.loss_mask: 0.8639, decode.d2.loss_dice: 1.1907, decode.d3.loss_cls: 1.1186, decode.d3.loss_mask: 0.8551, decode.d3.loss_dice: 1.1718, decode.d4.loss_cls: 1.0848, decode.d4.loss_mask: 0.8572, decode.d4.loss_dice: 1.1749, decode.d5.loss_cls: 1.0633, decode.d5.loss_mask: 0.8579, decode.d5.loss_dice: 1.1710, decode.d6.loss_cls: 1.0482, decode.d6.loss_mask: 0.8624, decode.d6.loss_dice: 1.1612, decode.d7.loss_cls: 1.0401, decode.d7.loss_mask: 0.8657, decode.d7.loss_dice: 1.1664, decode.d8.loss_cls: 1.0474, decode.d8.loss_mask: 0.8581, decode.d8.loss_dice: 1.1682, loss: 33.9398 2022-06-21 16:21:35,235 - mmseg - INFO - Iter [16800/40000] lr: 8.933e-06, eta: 3:32:27, time: 0.586, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0551, decode.loss_mask: 0.8376, decode.loss_dice: 1.1408, decode.d0.loss_cls: 3.3145, decode.d0.loss_mask: 0.8819, decode.d0.loss_dice: 1.3235, decode.d1.loss_cls: 1.3919, decode.d1.loss_mask: 0.8680, decode.d1.loss_dice: 1.2054, decode.d2.loss_cls: 1.1930, decode.d2.loss_mask: 0.8422, decode.d2.loss_dice: 1.1622, decode.d3.loss_cls: 1.1157, decode.d3.loss_mask: 0.8408, decode.d3.loss_dice: 1.1496, decode.d4.loss_cls: 1.0849, decode.d4.loss_mask: 0.8423, decode.d4.loss_dice: 1.1540, decode.d5.loss_cls: 1.0681, decode.d5.loss_mask: 0.8446, decode.d5.loss_dice: 1.1480, decode.d6.loss_cls: 1.0605, decode.d6.loss_mask: 0.8367, decode.d6.loss_dice: 1.1414, decode.d7.loss_cls: 1.0511, decode.d7.loss_mask: 0.8391, decode.d7.loss_dice: 1.1429, decode.d8.loss_cls: 1.0446, decode.d8.loss_mask: 0.8413, decode.d8.loss_dice: 1.1445, loss: 33.5662 2022-06-21 16:22:05,510 - mmseg - INFO - Iter [16850/40000] lr: 8.913e-06, eta: 3:32:04, time: 0.605, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0955, decode.loss_mask: 0.8400, decode.loss_dice: 1.1570, decode.d0.loss_cls: 3.3859, decode.d0.loss_mask: 0.8584, decode.d0.loss_dice: 1.3442, decode.d1.loss_cls: 1.4447, decode.d1.loss_mask: 0.8668, decode.d1.loss_dice: 1.2262, decode.d2.loss_cls: 1.2365, decode.d2.loss_mask: 0.8434, decode.d2.loss_dice: 1.1796, decode.d3.loss_cls: 1.1642, decode.d3.loss_mask: 0.8400, decode.d3.loss_dice: 1.1584, decode.d4.loss_cls: 1.1469, decode.d4.loss_mask: 0.8436, decode.d4.loss_dice: 1.1635, decode.d5.loss_cls: 1.1358, decode.d5.loss_mask: 0.8354, decode.d5.loss_dice: 1.1564, decode.d6.loss_cls: 1.1098, decode.d6.loss_mask: 0.8382, decode.d6.loss_dice: 1.1553, decode.d7.loss_cls: 1.1083, decode.d7.loss_mask: 0.8429, decode.d7.loss_dice: 1.1551, decode.d8.loss_cls: 1.1054, decode.d8.loss_mask: 0.8348, decode.d8.loss_dice: 1.1521, loss: 34.2243 2022-06-21 16:22:37,655 - mmseg - INFO - Iter [16900/40000] lr: 8.894e-06, eta: 3:31:43, time: 0.643, data_time: 0.057, memory: 40943, decode.loss_cls: 1.0763, decode.loss_mask: 0.8106, decode.loss_dice: 1.1654, decode.d0.loss_cls: 3.3987, decode.d0.loss_mask: 0.8499, decode.d0.loss_dice: 1.3650, decode.d1.loss_cls: 1.4134, decode.d1.loss_mask: 0.8378, decode.d1.loss_dice: 1.2304, decode.d2.loss_cls: 1.2170, decode.d2.loss_mask: 0.8205, decode.d2.loss_dice: 1.1821, decode.d3.loss_cls: 1.1439, decode.d3.loss_mask: 0.8157, decode.d3.loss_dice: 1.1742, decode.d4.loss_cls: 1.1127, decode.d4.loss_mask: 0.8188, decode.d4.loss_dice: 1.1754, decode.d5.loss_cls: 1.1022, decode.d5.loss_mask: 0.8147, decode.d5.loss_dice: 1.1706, decode.d6.loss_cls: 1.0920, decode.d6.loss_mask: 0.8174, decode.d6.loss_dice: 1.1599, decode.d7.loss_cls: 1.0849, decode.d7.loss_mask: 0.8142, decode.d7.loss_dice: 1.1642, decode.d8.loss_cls: 1.0853, decode.d8.loss_mask: 0.8157, decode.d8.loss_dice: 1.1643, loss: 33.8931 2022-06-21 16:23:08,518 - mmseg - INFO - Iter [16950/40000] lr: 8.875e-06, eta: 3:31:20, time: 0.617, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0501, decode.loss_mask: 0.8441, decode.loss_dice: 1.2026, decode.d0.loss_cls: 3.3085, decode.d0.loss_mask: 0.8777, decode.d0.loss_dice: 1.3654, decode.d1.loss_cls: 1.3813, decode.d1.loss_mask: 0.8638, decode.d1.loss_dice: 1.2493, decode.d2.loss_cls: 1.1970, decode.d2.loss_mask: 0.8482, decode.d2.loss_dice: 1.2084, decode.d3.loss_cls: 1.1346, decode.d3.loss_mask: 0.8447, decode.d3.loss_dice: 1.1967, decode.d4.loss_cls: 1.1059, decode.d4.loss_mask: 0.8431, decode.d4.loss_dice: 1.2027, decode.d5.loss_cls: 1.0782, decode.d5.loss_mask: 0.8453, decode.d5.loss_dice: 1.1976, decode.d6.loss_cls: 1.0697, decode.d6.loss_mask: 0.8410, decode.d6.loss_dice: 1.1948, decode.d7.loss_cls: 1.0525, decode.d7.loss_mask: 0.8428, decode.d7.loss_dice: 1.1979, decode.d8.loss_cls: 1.0455, decode.d8.loss_mask: 0.8461, decode.d8.loss_dice: 1.2042, loss: 34.1398 2022-06-21 16:23:39,680 - mmseg - INFO - Saving checkpoint at 17000 iterations 2022-06-21 16:23:45,651 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:23:45,651 - mmseg - INFO - Iter [17000/40000] lr: 8.856e-06, eta: 3:31:05, time: 0.743, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0960, decode.loss_mask: 0.8374, decode.loss_dice: 1.2013, decode.d0.loss_cls: 3.3852, decode.d0.loss_mask: 0.8774, decode.d0.loss_dice: 1.3965, decode.d1.loss_cls: 1.4538, decode.d1.loss_mask: 0.8635, decode.d1.loss_dice: 1.2689, decode.d2.loss_cls: 1.2437, decode.d2.loss_mask: 0.8472, decode.d2.loss_dice: 1.2208, decode.d3.loss_cls: 1.1664, decode.d3.loss_mask: 0.8428, decode.d3.loss_dice: 1.2017, decode.d4.loss_cls: 1.1466, decode.d4.loss_mask: 0.8391, decode.d4.loss_dice: 1.2021, decode.d5.loss_cls: 1.1205, decode.d5.loss_mask: 0.8437, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 1.1181, decode.d6.loss_mask: 0.8357, decode.d6.loss_dice: 1.1958, decode.d7.loss_cls: 1.1061, decode.d7.loss_mask: 0.8382, decode.d7.loss_dice: 1.2009, decode.d8.loss_cls: 1.0921, decode.d8.loss_mask: 0.8416, decode.d8.loss_dice: 1.1997, loss: 34.6815 2022-06-21 16:24:16,363 - mmseg - INFO - Iter [17050/40000] lr: 8.836e-06, eta: 3:30:42, time: 0.612, data_time: 0.008, memory: 40943, decode.loss_cls: 1.0752, decode.loss_mask: 0.8543, decode.loss_dice: 1.1846, decode.d0.loss_cls: 3.3594, decode.d0.loss_mask: 0.8935, decode.d0.loss_dice: 1.3660, decode.d1.loss_cls: 1.4049, decode.d1.loss_mask: 0.8768, decode.d1.loss_dice: 1.2459, decode.d2.loss_cls: 1.2033, decode.d2.loss_mask: 0.8599, decode.d2.loss_dice: 1.2048, decode.d3.loss_cls: 1.1382, decode.d3.loss_mask: 0.8516, decode.d3.loss_dice: 1.1877, decode.d4.loss_cls: 1.1204, decode.d4.loss_mask: 0.8437, decode.d4.loss_dice: 1.1855, decode.d5.loss_cls: 1.1007, decode.d5.loss_mask: 0.8510, decode.d5.loss_dice: 1.1817, decode.d6.loss_cls: 1.0816, decode.d6.loss_mask: 0.8547, decode.d6.loss_dice: 1.1771, decode.d7.loss_cls: 1.0799, decode.d7.loss_mask: 0.8538, decode.d7.loss_dice: 1.1817, decode.d8.loss_cls: 1.0720, decode.d8.loss_mask: 0.8540, decode.d8.loss_dice: 1.1846, loss: 34.3285 2022-06-21 16:24:46,815 - mmseg - INFO - Iter [17100/40000] lr: 8.817e-06, eta: 3:30:18, time: 0.611, data_time: 0.013, memory: 40943, decode.loss_cls: 1.0854, decode.loss_mask: 0.8534, decode.loss_dice: 1.1940, decode.d0.loss_cls: 3.3296, decode.d0.loss_mask: 0.8951, decode.d0.loss_dice: 1.3840, decode.d1.loss_cls: 1.4313, decode.d1.loss_mask: 0.8866, decode.d1.loss_dice: 1.2689, decode.d2.loss_cls: 1.2341, decode.d2.loss_mask: 0.8670, decode.d2.loss_dice: 1.2197, decode.d3.loss_cls: 1.1642, decode.d3.loss_mask: 0.8602, decode.d3.loss_dice: 1.2054, decode.d4.loss_cls: 1.1310, decode.d4.loss_mask: 0.8601, decode.d4.loss_dice: 1.2022, decode.d5.loss_cls: 1.1098, decode.d5.loss_mask: 0.8580, decode.d5.loss_dice: 1.2009, decode.d6.loss_cls: 1.1056, decode.d6.loss_mask: 0.8574, decode.d6.loss_dice: 1.1903, decode.d7.loss_cls: 1.0820, decode.d7.loss_mask: 0.8596, decode.d7.loss_dice: 1.2034, decode.d8.loss_cls: 1.0782, decode.d8.loss_mask: 0.8555, decode.d8.loss_dice: 1.1968, loss: 34.6695 2022-06-21 16:25:17,419 - mmseg - INFO - Iter [17150/40000] lr: 8.798e-06, eta: 3:29:55, time: 0.611, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0203, decode.loss_mask: 0.8695, decode.loss_dice: 1.1715, decode.d0.loss_cls: 3.3070, decode.d0.loss_mask: 0.9037, decode.d0.loss_dice: 1.3474, decode.d1.loss_cls: 1.3385, decode.d1.loss_mask: 0.8895, decode.d1.loss_dice: 1.2346, decode.d2.loss_cls: 1.1543, decode.d2.loss_mask: 0.8802, decode.d2.loss_dice: 1.1874, decode.d3.loss_cls: 1.0911, decode.d3.loss_mask: 0.8761, decode.d3.loss_dice: 1.1797, decode.d4.loss_cls: 1.0579, decode.d4.loss_mask: 0.8779, decode.d4.loss_dice: 1.1743, decode.d5.loss_cls: 1.0444, decode.d5.loss_mask: 0.8718, decode.d5.loss_dice: 1.1729, decode.d6.loss_cls: 1.0372, decode.d6.loss_mask: 0.8645, decode.d6.loss_dice: 1.1676, decode.d7.loss_cls: 1.0211, decode.d7.loss_mask: 0.8725, decode.d7.loss_dice: 1.1725, decode.d8.loss_cls: 1.0113, decode.d8.loss_mask: 0.8725, decode.d8.loss_dice: 1.1706, loss: 33.8397 2022-06-21 16:25:48,907 - mmseg - INFO - Iter [17200/40000] lr: 8.779e-06, eta: 3:29:32, time: 0.630, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0759, decode.loss_mask: 0.8234, decode.loss_dice: 1.1177, decode.d0.loss_cls: 3.3723, decode.d0.loss_mask: 0.8638, decode.d0.loss_dice: 1.3113, decode.d1.loss_cls: 1.4211, decode.d1.loss_mask: 0.8510, decode.d1.loss_dice: 1.1798, decode.d2.loss_cls: 1.2013, decode.d2.loss_mask: 0.8362, decode.d2.loss_dice: 1.1385, decode.d3.loss_cls: 1.1275, decode.d3.loss_mask: 0.8316, decode.d3.loss_dice: 1.1258, decode.d4.loss_cls: 1.1115, decode.d4.loss_mask: 0.8277, decode.d4.loss_dice: 1.1241, decode.d5.loss_cls: 1.0887, decode.d5.loss_mask: 0.8284, decode.d5.loss_dice: 1.1268, decode.d6.loss_cls: 1.0840, decode.d6.loss_mask: 0.8214, decode.d6.loss_dice: 1.1212, decode.d7.loss_cls: 1.0750, decode.d7.loss_mask: 0.8271, decode.d7.loss_dice: 1.1213, decode.d8.loss_cls: 1.0619, decode.d8.loss_mask: 0.8257, decode.d8.loss_dice: 1.1205, loss: 33.4425 2022-06-21 16:26:19,791 - mmseg - INFO - Iter [17250/40000] lr: 8.759e-06, eta: 3:29:09, time: 0.618, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0117, decode.loss_mask: 0.8637, decode.loss_dice: 1.1677, decode.d0.loss_cls: 3.3063, decode.d0.loss_mask: 0.8898, decode.d0.loss_dice: 1.3479, decode.d1.loss_cls: 1.3374, decode.d1.loss_mask: 0.8881, decode.d1.loss_dice: 1.2382, decode.d2.loss_cls: 1.1522, decode.d2.loss_mask: 0.8643, decode.d2.loss_dice: 1.1865, decode.d3.loss_cls: 1.0816, decode.d3.loss_mask: 0.8625, decode.d3.loss_dice: 1.1714, decode.d4.loss_cls: 1.0576, decode.d4.loss_mask: 0.8561, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 1.0347, decode.d5.loss_mask: 0.8609, decode.d5.loss_dice: 1.1672, decode.d6.loss_cls: 1.0320, decode.d6.loss_mask: 0.8615, decode.d6.loss_dice: 1.1613, decode.d7.loss_cls: 1.0191, decode.d7.loss_mask: 0.8652, decode.d7.loss_dice: 1.1655, decode.d8.loss_cls: 1.0099, decode.d8.loss_mask: 0.8615, decode.d8.loss_dice: 1.1636, loss: 33.6532 2022-06-21 16:26:50,343 - mmseg - INFO - Iter [17300/40000] lr: 8.740e-06, eta: 3:28:46, time: 0.611, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0897, decode.loss_mask: 0.8497, decode.loss_dice: 1.1882, decode.d0.loss_cls: 3.4046, decode.d0.loss_mask: 0.8790, decode.d0.loss_dice: 1.3926, decode.d1.loss_cls: 1.4513, decode.d1.loss_mask: 0.8786, decode.d1.loss_dice: 1.2667, decode.d2.loss_cls: 1.2398, decode.d2.loss_mask: 0.8597, decode.d2.loss_dice: 1.2092, decode.d3.loss_cls: 1.1738, decode.d3.loss_mask: 0.8545, decode.d3.loss_dice: 1.1956, decode.d4.loss_cls: 1.1386, decode.d4.loss_mask: 0.8458, decode.d4.loss_dice: 1.1910, decode.d5.loss_cls: 1.1185, decode.d5.loss_mask: 0.8458, decode.d5.loss_dice: 1.1857, decode.d6.loss_cls: 1.1019, decode.d6.loss_mask: 0.8452, decode.d6.loss_dice: 1.1881, decode.d7.loss_cls: 1.1002, decode.d7.loss_mask: 0.8440, decode.d7.loss_dice: 1.1865, decode.d8.loss_cls: 1.0818, decode.d8.loss_mask: 0.8472, decode.d8.loss_dice: 1.1929, loss: 34.6461 2022-06-21 16:27:23,070 - mmseg - INFO - Iter [17350/40000] lr: 8.721e-06, eta: 3:28:25, time: 0.655, data_time: 0.010, memory: 40943, decode.loss_cls: 1.1189, decode.loss_mask: 0.8240, decode.loss_dice: 1.1930, decode.d0.loss_cls: 3.4177, decode.d0.loss_mask: 0.8525, decode.d0.loss_dice: 1.3995, decode.d1.loss_cls: 1.4671, decode.d1.loss_mask: 0.8520, decode.d1.loss_dice: 1.2729, decode.d2.loss_cls: 1.2535, decode.d2.loss_mask: 0.8320, decode.d2.loss_dice: 1.2230, decode.d3.loss_cls: 1.2029, decode.d3.loss_mask: 0.8298, decode.d3.loss_dice: 1.2046, decode.d4.loss_cls: 1.1689, decode.d4.loss_mask: 0.8274, decode.d4.loss_dice: 1.2017, decode.d5.loss_cls: 1.1436, decode.d5.loss_mask: 0.8275, decode.d5.loss_dice: 1.1975, decode.d6.loss_cls: 1.1251, decode.d6.loss_mask: 0.8301, decode.d6.loss_dice: 1.1951, decode.d7.loss_cls: 1.1290, decode.d7.loss_mask: 0.8271, decode.d7.loss_dice: 1.1931, decode.d8.loss_cls: 1.1190, decode.d8.loss_mask: 0.8285, decode.d8.loss_dice: 1.1956, loss: 34.7527 2022-06-21 16:27:55,266 - mmseg - INFO - Iter [17400/40000] lr: 8.702e-06, eta: 3:28:03, time: 0.643, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0950, decode.loss_mask: 0.8083, decode.loss_dice: 1.1635, decode.d0.loss_cls: 3.3777, decode.d0.loss_mask: 0.8417, decode.d0.loss_dice: 1.3678, decode.d1.loss_cls: 1.4367, decode.d1.loss_mask: 0.8297, decode.d1.loss_dice: 1.2407, decode.d2.loss_cls: 1.2383, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.1921, decode.d3.loss_cls: 1.1640, decode.d3.loss_mask: 0.8124, decode.d3.loss_dice: 1.1740, decode.d4.loss_cls: 1.1389, decode.d4.loss_mask: 0.8082, decode.d4.loss_dice: 1.1700, decode.d5.loss_cls: 1.1188, decode.d5.loss_mask: 0.8093, decode.d5.loss_dice: 1.1697, decode.d6.loss_cls: 1.1027, decode.d6.loss_mask: 0.8130, decode.d6.loss_dice: 1.1644, decode.d7.loss_cls: 1.0920, decode.d7.loss_mask: 0.8063, decode.d7.loss_dice: 1.1662, decode.d8.loss_cls: 1.0913, decode.d8.loss_mask: 0.8090, decode.d8.loss_dice: 1.1641, loss: 33.9799 2022-06-21 16:28:31,909 - mmseg - INFO - Iter [17450/40000] lr: 8.682e-06, eta: 3:27:47, time: 0.733, data_time: 0.058, memory: 40943, decode.loss_cls: 1.0454, decode.loss_mask: 0.8514, decode.loss_dice: 1.1855, decode.d0.loss_cls: 3.3312, decode.d0.loss_mask: 0.8882, decode.d0.loss_dice: 1.3746, decode.d1.loss_cls: 1.3817, decode.d1.loss_mask: 0.8771, decode.d1.loss_dice: 1.2489, decode.d2.loss_cls: 1.1780, decode.d2.loss_mask: 0.8634, decode.d2.loss_dice: 1.1987, decode.d3.loss_cls: 1.1029, decode.d3.loss_mask: 0.8595, decode.d3.loss_dice: 1.1866, decode.d4.loss_cls: 1.0740, decode.d4.loss_mask: 0.8587, decode.d4.loss_dice: 1.1896, decode.d5.loss_cls: 1.0723, decode.d5.loss_mask: 0.8517, decode.d5.loss_dice: 1.1882, decode.d6.loss_cls: 1.0644, decode.d6.loss_mask: 0.8472, decode.d6.loss_dice: 1.1811, decode.d7.loss_cls: 1.0534, decode.d7.loss_mask: 0.8512, decode.d7.loss_dice: 1.1844, decode.d8.loss_cls: 1.0463, decode.d8.loss_mask: 0.8515, decode.d8.loss_dice: 1.1797, loss: 34.0667 2022-06-21 16:29:04,685 - mmseg - INFO - Iter [17500/40000] lr: 8.663e-06, eta: 3:27:26, time: 0.656, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0597, decode.loss_mask: 0.8353, decode.loss_dice: 1.1504, decode.d0.loss_cls: 3.3577, decode.d0.loss_mask: 0.8747, decode.d0.loss_dice: 1.3455, decode.d1.loss_cls: 1.4102, decode.d1.loss_mask: 0.8605, decode.d1.loss_dice: 1.2148, decode.d2.loss_cls: 1.1978, decode.d2.loss_mask: 0.8430, decode.d2.loss_dice: 1.1665, decode.d3.loss_cls: 1.1241, decode.d3.loss_mask: 0.8393, decode.d3.loss_dice: 1.1557, decode.d4.loss_cls: 1.0933, decode.d4.loss_mask: 0.8400, decode.d4.loss_dice: 1.1562, decode.d5.loss_cls: 1.0792, decode.d5.loss_mask: 0.8368, decode.d5.loss_dice: 1.1551, decode.d6.loss_cls: 1.0696, decode.d6.loss_mask: 0.8328, decode.d6.loss_dice: 1.1446, decode.d7.loss_cls: 1.0607, decode.d7.loss_mask: 0.8319, decode.d7.loss_dice: 1.1475, decode.d8.loss_cls: 1.0488, decode.d8.loss_mask: 0.8406, decode.d8.loss_dice: 1.1513, loss: 33.7236 2022-06-21 16:29:34,517 - mmseg - INFO - Iter [17550/40000] lr: 8.644e-06, eta: 3:27:01, time: 0.597, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0684, decode.loss_mask: 0.8148, decode.loss_dice: 1.1690, decode.d0.loss_cls: 3.3531, decode.d0.loss_mask: 0.8529, decode.d0.loss_dice: 1.3756, decode.d1.loss_cls: 1.4240, decode.d1.loss_mask: 0.8352, decode.d1.loss_dice: 1.2478, decode.d2.loss_cls: 1.2085, decode.d2.loss_mask: 0.8209, decode.d2.loss_dice: 1.1908, decode.d3.loss_cls: 1.1297, decode.d3.loss_mask: 0.8179, decode.d3.loss_dice: 1.1799, decode.d4.loss_cls: 1.1075, decode.d4.loss_mask: 0.8162, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 1.0941, decode.d5.loss_mask: 0.8138, decode.d5.loss_dice: 1.1823, decode.d6.loss_cls: 1.0808, decode.d6.loss_mask: 0.8191, decode.d6.loss_dice: 1.1678, decode.d7.loss_cls: 1.0753, decode.d7.loss_mask: 0.8165, decode.d7.loss_dice: 1.1750, decode.d8.loss_cls: 1.0691, decode.d8.loss_mask: 0.8103, decode.d8.loss_dice: 1.1692, loss: 33.8695 2022-06-21 16:30:04,837 - mmseg - INFO - Iter [17600/40000] lr: 8.625e-06, eta: 3:26:37, time: 0.606, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0639, decode.loss_mask: 0.8510, decode.loss_dice: 1.1544, decode.d0.loss_cls: 3.3702, decode.d0.loss_mask: 0.8867, decode.d0.loss_dice: 1.3535, decode.d1.loss_cls: 1.3904, decode.d1.loss_mask: 0.8803, decode.d1.loss_dice: 1.2213, decode.d2.loss_cls: 1.1894, decode.d2.loss_mask: 0.8616, decode.d2.loss_dice: 1.1806, decode.d3.loss_cls: 1.1366, decode.d3.loss_mask: 0.8566, decode.d3.loss_dice: 1.1732, decode.d4.loss_cls: 1.1037, decode.d4.loss_mask: 0.8541, decode.d4.loss_dice: 1.1699, decode.d5.loss_cls: 1.0866, decode.d5.loss_mask: 0.8522, decode.d5.loss_dice: 1.1651, decode.d6.loss_cls: 1.0750, decode.d6.loss_mask: 0.8514, decode.d6.loss_dice: 1.1509, decode.d7.loss_cls: 1.0708, decode.d7.loss_mask: 0.8522, decode.d7.loss_dice: 1.1526, decode.d8.loss_cls: 1.0618, decode.d8.loss_mask: 0.8498, decode.d8.loss_dice: 1.1531, loss: 34.0189 2022-06-21 16:30:36,994 - mmseg - INFO - Iter [17650/40000] lr: 8.605e-06, eta: 3:26:15, time: 0.643, data_time: 0.012, memory: 40943, decode.loss_cls: 1.0805, decode.loss_mask: 0.8318, decode.loss_dice: 1.1907, decode.d0.loss_cls: 3.3911, decode.d0.loss_mask: 0.8683, decode.d0.loss_dice: 1.3856, decode.d1.loss_cls: 1.4311, decode.d1.loss_mask: 0.8488, decode.d1.loss_dice: 1.2577, decode.d2.loss_cls: 1.2407, decode.d2.loss_mask: 0.8324, decode.d2.loss_dice: 1.2185, decode.d3.loss_cls: 1.1603, decode.d3.loss_mask: 0.8331, decode.d3.loss_dice: 1.2047, decode.d4.loss_cls: 1.1202, decode.d4.loss_mask: 0.8381, decode.d4.loss_dice: 1.2092, decode.d5.loss_cls: 1.1055, decode.d5.loss_mask: 0.8334, decode.d5.loss_dice: 1.1970, decode.d6.loss_cls: 1.0935, decode.d6.loss_mask: 0.8353, decode.d6.loss_dice: 1.1870, decode.d7.loss_cls: 1.0842, decode.d7.loss_mask: 0.8349, decode.d7.loss_dice: 1.1944, decode.d8.loss_cls: 1.0927, decode.d8.loss_mask: 0.8304, decode.d8.loss_dice: 1.1906, loss: 34.4220 2022-06-21 16:31:06,215 - mmseg - INFO - Iter [17700/40000] lr: 8.586e-06, eta: 3:25:49, time: 0.585, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0451, decode.loss_mask: 0.7985, decode.loss_dice: 1.1505, decode.d0.loss_cls: 3.3659, decode.d0.loss_mask: 0.8393, decode.d0.loss_dice: 1.3353, decode.d1.loss_cls: 1.4169, decode.d1.loss_mask: 0.8270, decode.d1.loss_dice: 1.2255, decode.d2.loss_cls: 1.1931, decode.d2.loss_mask: 0.8055, decode.d2.loss_dice: 1.1793, decode.d3.loss_cls: 1.1179, decode.d3.loss_mask: 0.8078, decode.d3.loss_dice: 1.1640, decode.d4.loss_cls: 1.0878, decode.d4.loss_mask: 0.8095, decode.d4.loss_dice: 1.1575, decode.d5.loss_cls: 1.0756, decode.d5.loss_mask: 0.8036, decode.d5.loss_dice: 1.1585, decode.d6.loss_cls: 1.0609, decode.d6.loss_mask: 0.8013, decode.d6.loss_dice: 1.1443, decode.d7.loss_cls: 1.0486, decode.d7.loss_mask: 0.7983, decode.d7.loss_dice: 1.1518, decode.d8.loss_cls: 1.0421, decode.d8.loss_mask: 0.7994, decode.d8.loss_dice: 1.1565, loss: 33.3674 2022-06-21 16:31:35,816 - mmseg - INFO - Iter [17750/40000] lr: 8.567e-06, eta: 3:25:24, time: 0.591, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0607, decode.loss_mask: 0.8132, decode.loss_dice: 1.1702, decode.d0.loss_cls: 3.3438, decode.d0.loss_mask: 0.8537, decode.d0.loss_dice: 1.3545, decode.d1.loss_cls: 1.3987, decode.d1.loss_mask: 0.8422, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 1.2052, decode.d2.loss_mask: 0.8219, decode.d2.loss_dice: 1.1861, decode.d3.loss_cls: 1.1285, decode.d3.loss_mask: 0.8234, decode.d3.loss_dice: 1.1749, decode.d4.loss_cls: 1.1047, decode.d4.loss_mask: 0.8167, decode.d4.loss_dice: 1.1770, decode.d5.loss_cls: 1.0854, decode.d5.loss_mask: 0.8150, decode.d5.loss_dice: 1.1775, decode.d6.loss_cls: 1.0748, decode.d6.loss_mask: 0.8184, decode.d6.loss_dice: 1.1706, decode.d7.loss_cls: 1.0653, decode.d7.loss_mask: 0.8171, decode.d7.loss_dice: 1.1701, decode.d8.loss_cls: 1.0708, decode.d8.loss_mask: 0.8106, decode.d8.loss_dice: 1.1747, loss: 33.7602 2022-06-21 16:32:04,845 - mmseg - INFO - Iter [17800/40000] lr: 8.548e-06, eta: 3:24:58, time: 0.580, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0339, decode.loss_mask: 0.8195, decode.loss_dice: 1.1813, decode.d0.loss_cls: 3.3572, decode.d0.loss_mask: 0.8573, decode.d0.loss_dice: 1.3609, decode.d1.loss_cls: 1.3853, decode.d1.loss_mask: 0.8406, decode.d1.loss_dice: 1.2470, decode.d2.loss_cls: 1.1917, decode.d2.loss_mask: 0.8226, decode.d2.loss_dice: 1.2006, decode.d3.loss_cls: 1.1097, decode.d3.loss_mask: 0.8213, decode.d3.loss_dice: 1.1818, decode.d4.loss_cls: 1.0844, decode.d4.loss_mask: 0.8193, decode.d4.loss_dice: 1.1870, decode.d5.loss_cls: 1.0675, decode.d5.loss_mask: 0.8205, decode.d5.loss_dice: 1.1890, decode.d6.loss_cls: 1.0605, decode.d6.loss_mask: 0.8188, decode.d6.loss_dice: 1.1814, decode.d7.loss_cls: 1.0462, decode.d7.loss_mask: 0.8246, decode.d7.loss_dice: 1.1837, decode.d8.loss_cls: 1.0346, decode.d8.loss_mask: 0.8194, decode.d8.loss_dice: 1.1823, loss: 33.7298 2022-06-21 16:32:33,631 - mmseg - INFO - Iter [17850/40000] lr: 8.528e-06, eta: 3:24:31, time: 0.577, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0339, decode.loss_mask: 0.8141, decode.loss_dice: 1.1485, decode.d0.loss_cls: 3.2946, decode.d0.loss_mask: 0.8472, decode.d0.loss_dice: 1.3215, decode.d1.loss_cls: 1.3586, decode.d1.loss_mask: 0.8401, decode.d1.loss_dice: 1.2097, decode.d2.loss_cls: 1.1711, decode.d2.loss_mask: 0.8205, decode.d2.loss_dice: 1.1702, decode.d3.loss_cls: 1.0979, decode.d3.loss_mask: 0.8147, decode.d3.loss_dice: 1.1517, decode.d4.loss_cls: 1.0716, decode.d4.loss_mask: 0.8155, decode.d4.loss_dice: 1.1558, decode.d5.loss_cls: 1.0586, decode.d5.loss_mask: 0.8148, decode.d5.loss_dice: 1.1494, decode.d6.loss_cls: 1.0422, decode.d6.loss_mask: 0.8146, decode.d6.loss_dice: 1.1500, decode.d7.loss_cls: 1.0326, decode.d7.loss_mask: 0.8193, decode.d7.loss_dice: 1.1553, decode.d8.loss_cls: 1.0298, decode.d8.loss_mask: 0.8159, decode.d8.loss_dice: 1.1535, loss: 33.1732 2022-06-21 16:33:02,753 - mmseg - INFO - Iter [17900/40000] lr: 8.509e-06, eta: 3:24:05, time: 0.582, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0273, decode.loss_mask: 0.8383, decode.loss_dice: 1.1818, decode.d0.loss_cls: 3.2981, decode.d0.loss_mask: 0.8800, decode.d0.loss_dice: 1.3703, decode.d1.loss_cls: 1.3557, decode.d1.loss_mask: 0.8741, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 1.1725, decode.d2.loss_mask: 0.8498, decode.d2.loss_dice: 1.2061, decode.d3.loss_cls: 1.1115, decode.d3.loss_mask: 0.8454, decode.d3.loss_dice: 1.1860, decode.d4.loss_cls: 1.0826, decode.d4.loss_mask: 0.8465, decode.d4.loss_dice: 1.1825, decode.d5.loss_cls: 1.0606, decode.d5.loss_mask: 0.8444, decode.d5.loss_dice: 1.1848, decode.d6.loss_cls: 1.0476, decode.d6.loss_mask: 0.8436, decode.d6.loss_dice: 1.1804, decode.d7.loss_cls: 1.0377, decode.d7.loss_mask: 0.8398, decode.d7.loss_dice: 1.1858, decode.d8.loss_cls: 1.0265, decode.d8.loss_mask: 0.8413, decode.d8.loss_dice: 1.1840, loss: 33.8387 2022-06-21 16:33:33,138 - mmseg - INFO - Iter [17950/40000] lr: 8.490e-06, eta: 3:23:41, time: 0.608, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0608, decode.loss_mask: 0.8439, decode.loss_dice: 1.1931, decode.d0.loss_cls: 3.2818, decode.d0.loss_mask: 0.8803, decode.d0.loss_dice: 1.3621, decode.d1.loss_cls: 1.3726, decode.d1.loss_mask: 0.8694, decode.d1.loss_dice: 1.2526, decode.d2.loss_cls: 1.1816, decode.d2.loss_mask: 0.8514, decode.d2.loss_dice: 1.2107, decode.d3.loss_cls: 1.1215, decode.d3.loss_mask: 0.8475, decode.d3.loss_dice: 1.1964, decode.d4.loss_cls: 1.0995, decode.d4.loss_mask: 0.8469, decode.d4.loss_dice: 1.1948, decode.d5.loss_cls: 1.0755, decode.d5.loss_mask: 0.8449, decode.d5.loss_dice: 1.1980, decode.d6.loss_cls: 1.0670, decode.d6.loss_mask: 0.8480, decode.d6.loss_dice: 1.1898, decode.d7.loss_cls: 1.0577, decode.d7.loss_mask: 0.8468, decode.d7.loss_dice: 1.2001, decode.d8.loss_cls: 1.0566, decode.d8.loss_mask: 0.8432, decode.d8.loss_dice: 1.1904, loss: 34.0846 2022-06-21 16:34:04,543 - mmseg - INFO - Saving checkpoint at 18000 iterations 2022-06-21 16:34:11,274 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:34:11,275 - mmseg - INFO - Iter [18000/40000] lr: 8.471e-06, eta: 3:23:26, time: 0.762, data_time: 0.062, memory: 40943, decode.loss_cls: 1.0494, decode.loss_mask: 0.8456, decode.loss_dice: 1.1873, decode.d0.loss_cls: 3.3930, decode.d0.loss_mask: 0.8804, decode.d0.loss_dice: 1.3739, decode.d1.loss_cls: 1.3833, decode.d1.loss_mask: 0.8669, decode.d1.loss_dice: 1.2518, decode.d2.loss_cls: 1.1942, decode.d2.loss_mask: 0.8489, decode.d2.loss_dice: 1.2071, decode.d3.loss_cls: 1.1184, decode.d3.loss_mask: 0.8465, decode.d3.loss_dice: 1.1941, decode.d4.loss_cls: 1.0978, decode.d4.loss_mask: 0.8438, decode.d4.loss_dice: 1.1906, decode.d5.loss_cls: 1.0746, decode.d5.loss_mask: 0.8397, decode.d5.loss_dice: 1.1931, decode.d6.loss_cls: 1.0566, decode.d6.loss_mask: 0.8426, decode.d6.loss_dice: 1.1914, decode.d7.loss_cls: 1.0439, decode.d7.loss_mask: 0.8390, decode.d7.loss_dice: 1.1898, decode.d8.loss_cls: 1.0461, decode.d8.loss_mask: 0.8420, decode.d8.loss_dice: 1.1911, loss: 34.1229 2022-06-21 16:34:39,634 - mmseg - INFO - Iter [18050/40000] lr: 8.451e-06, eta: 3:22:59, time: 0.568, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9876, decode.loss_mask: 0.8026, decode.loss_dice: 1.1423, decode.d0.loss_cls: 3.2839, decode.d0.loss_mask: 0.8442, decode.d0.loss_dice: 1.3354, decode.d1.loss_cls: 1.3438, decode.d1.loss_mask: 0.8264, decode.d1.loss_dice: 1.2217, decode.d2.loss_cls: 1.1394, decode.d2.loss_mask: 0.8104, decode.d2.loss_dice: 1.1648, decode.d3.loss_cls: 1.0578, decode.d3.loss_mask: 0.8150, decode.d3.loss_dice: 1.1586, decode.d4.loss_cls: 1.0290, decode.d4.loss_mask: 0.8110, decode.d4.loss_dice: 1.1496, decode.d5.loss_cls: 1.0173, decode.d5.loss_mask: 0.8110, decode.d5.loss_dice: 1.1569, decode.d6.loss_cls: 1.0099, decode.d6.loss_mask: 0.8097, decode.d6.loss_dice: 1.1423, decode.d7.loss_cls: 0.9995, decode.d7.loss_mask: 0.8034, decode.d7.loss_dice: 1.1463, decode.d8.loss_cls: 0.9875, decode.d8.loss_mask: 0.8037, decode.d8.loss_dice: 1.1441, loss: 32.7549 2022-06-21 16:35:06,504 - mmseg - INFO - Iter [18100/40000] lr: 8.432e-06, eta: 3:22:30, time: 0.537, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0383, decode.loss_mask: 0.8564, decode.loss_dice: 1.1779, decode.d0.loss_cls: 3.2863, decode.d0.loss_mask: 0.8929, decode.d0.loss_dice: 1.3568, decode.d1.loss_cls: 1.3667, decode.d1.loss_mask: 0.8830, decode.d1.loss_dice: 1.2495, decode.d2.loss_cls: 1.1612, decode.d2.loss_mask: 0.8662, decode.d2.loss_dice: 1.2000, decode.d3.loss_cls: 1.0984, decode.d3.loss_mask: 0.8576, decode.d3.loss_dice: 1.1821, decode.d4.loss_cls: 1.0745, decode.d4.loss_mask: 0.8617, decode.d4.loss_dice: 1.1755, decode.d5.loss_cls: 1.0531, decode.d5.loss_mask: 0.8622, decode.d5.loss_dice: 1.1812, decode.d6.loss_cls: 1.0517, decode.d6.loss_mask: 0.8585, decode.d6.loss_dice: 1.1736, decode.d7.loss_cls: 1.0420, decode.d7.loss_mask: 0.8622, decode.d7.loss_dice: 1.1787, decode.d8.loss_cls: 1.0345, decode.d8.loss_mask: 0.8575, decode.d8.loss_dice: 1.1797, loss: 33.9199 2022-06-21 16:35:32,088 - mmseg - INFO - Iter [18150/40000] lr: 8.413e-06, eta: 3:22:00, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0516, decode.loss_mask: 0.8125, decode.loss_dice: 1.1364, decode.d0.loss_cls: 3.3978, decode.d0.loss_mask: 0.8442, decode.d0.loss_dice: 1.3469, decode.d1.loss_cls: 1.4025, decode.d1.loss_mask: 0.8378, decode.d1.loss_dice: 1.2185, decode.d2.loss_cls: 1.2112, decode.d2.loss_mask: 0.8179, decode.d2.loss_dice: 1.1672, decode.d3.loss_cls: 1.1364, decode.d3.loss_mask: 0.8151, decode.d3.loss_dice: 1.1454, decode.d4.loss_cls: 1.1139, decode.d4.loss_mask: 0.8154, decode.d4.loss_dice: 1.1441, decode.d5.loss_cls: 1.0838, decode.d5.loss_mask: 0.8146, decode.d5.loss_dice: 1.1461, decode.d6.loss_cls: 1.0657, decode.d6.loss_mask: 0.8161, decode.d6.loss_dice: 1.1410, decode.d7.loss_cls: 1.0596, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.1429, decode.d8.loss_cls: 1.0556, decode.d8.loss_mask: 0.8157, decode.d8.loss_dice: 1.1380, loss: 33.5067 2022-06-21 16:35:56,754 - mmseg - INFO - Iter [18200/40000] lr: 8.394e-06, eta: 3:21:29, time: 0.493, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0564, decode.loss_mask: 0.8484, decode.loss_dice: 1.1613, decode.d0.loss_cls: 3.2934, decode.d0.loss_mask: 0.8839, decode.d0.loss_dice: 1.3442, decode.d1.loss_cls: 1.3900, decode.d1.loss_mask: 0.8762, decode.d1.loss_dice: 1.2249, decode.d2.loss_cls: 1.1929, decode.d2.loss_mask: 0.8577, decode.d2.loss_dice: 1.1792, decode.d3.loss_cls: 1.1108, decode.d3.loss_mask: 0.8566, decode.d3.loss_dice: 1.1710, decode.d4.loss_cls: 1.0910, decode.d4.loss_mask: 0.8532, decode.d4.loss_dice: 1.1666, decode.d5.loss_cls: 1.0769, decode.d5.loss_mask: 0.8502, decode.d5.loss_dice: 1.1636, decode.d6.loss_cls: 1.0636, decode.d6.loss_mask: 0.8527, decode.d6.loss_dice: 1.1563, decode.d7.loss_cls: 1.0580, decode.d7.loss_mask: 0.8510, decode.d7.loss_dice: 1.1588, decode.d8.loss_cls: 1.0592, decode.d8.loss_mask: 0.8522, decode.d8.loss_dice: 1.1599, loss: 33.8602 2022-06-21 16:36:20,609 - mmseg - INFO - Iter [18250/40000] lr: 8.374e-06, eta: 3:20:56, time: 0.477, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0692, decode.loss_mask: 0.8177, decode.loss_dice: 1.1874, decode.d0.loss_cls: 3.3383, decode.d0.loss_mask: 0.8470, decode.d0.loss_dice: 1.3653, decode.d1.loss_cls: 1.4146, decode.d1.loss_mask: 0.8357, decode.d1.loss_dice: 1.2477, decode.d2.loss_cls: 1.2143, decode.d2.loss_mask: 0.8183, decode.d2.loss_dice: 1.2042, decode.d3.loss_cls: 1.1485, decode.d3.loss_mask: 0.8138, decode.d3.loss_dice: 1.1878, decode.d4.loss_cls: 1.1223, decode.d4.loss_mask: 0.8141, decode.d4.loss_dice: 1.1914, decode.d5.loss_cls: 1.1036, decode.d5.loss_mask: 0.8135, decode.d5.loss_dice: 1.1884, decode.d6.loss_cls: 1.0838, decode.d6.loss_mask: 0.8204, decode.d6.loss_dice: 1.1837, decode.d7.loss_cls: 1.0698, decode.d7.loss_mask: 0.8232, decode.d7.loss_dice: 1.1886, decode.d8.loss_cls: 1.0717, decode.d8.loss_mask: 0.8175, decode.d8.loss_dice: 1.1862, loss: 33.9881 2022-06-21 16:36:45,168 - mmseg - INFO - Iter [18300/40000] lr: 8.355e-06, eta: 3:20:25, time: 0.491, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9974, decode.loss_mask: 0.8477, decode.loss_dice: 1.1602, decode.d0.loss_cls: 3.3069, decode.d0.loss_mask: 0.8836, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 1.3456, decode.d1.loss_mask: 0.8748, decode.d1.loss_dice: 1.2274, decode.d2.loss_cls: 1.1508, decode.d2.loss_mask: 0.8550, decode.d2.loss_dice: 1.1828, decode.d3.loss_cls: 1.0706, decode.d3.loss_mask: 0.8496, decode.d3.loss_dice: 1.1626, decode.d4.loss_cls: 1.0446, decode.d4.loss_mask: 0.8514, decode.d4.loss_dice: 1.1636, decode.d5.loss_cls: 1.0292, decode.d5.loss_mask: 0.8462, decode.d5.loss_dice: 1.1598, decode.d6.loss_cls: 1.0180, decode.d6.loss_mask: 0.8494, decode.d6.loss_dice: 1.1605, decode.d7.loss_cls: 1.0037, decode.d7.loss_mask: 0.8461, decode.d7.loss_dice: 1.1541, decode.d8.loss_cls: 0.9999, decode.d8.loss_mask: 0.8468, decode.d8.loss_dice: 1.1572, loss: 33.3836 2022-06-21 16:37:09,961 - mmseg - INFO - Iter [18350/40000] lr: 8.336e-06, eta: 3:19:54, time: 0.496, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0278, decode.loss_mask: 0.8254, decode.loss_dice: 1.1864, decode.d0.loss_cls: 3.2374, decode.d0.loss_mask: 0.8549, decode.d0.loss_dice: 1.3563, decode.d1.loss_cls: 1.3471, decode.d1.loss_mask: 0.8502, decode.d1.loss_dice: 1.2560, decode.d2.loss_cls: 1.1556, decode.d2.loss_mask: 0.8291, decode.d2.loss_dice: 1.2001, decode.d3.loss_cls: 1.0910, decode.d3.loss_mask: 0.8302, decode.d3.loss_dice: 1.1850, decode.d4.loss_cls: 1.0595, decode.d4.loss_mask: 0.8298, decode.d4.loss_dice: 1.1922, decode.d5.loss_cls: 1.0446, decode.d5.loss_mask: 0.8260, decode.d5.loss_dice: 1.1893, decode.d6.loss_cls: 1.0348, decode.d6.loss_mask: 0.8275, decode.d6.loss_dice: 1.1805, decode.d7.loss_cls: 1.0299, decode.d7.loss_mask: 0.8305, decode.d7.loss_dice: 1.1819, decode.d8.loss_cls: 1.0284, decode.d8.loss_mask: 0.8222, decode.d8.loss_dice: 1.1835, loss: 33.4934 2022-06-21 16:37:34,882 - mmseg - INFO - Iter [18400/40000] lr: 8.317e-06, eta: 3:19:23, time: 0.498, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0476, decode.loss_mask: 0.8615, decode.loss_dice: 1.1824, decode.d0.loss_cls: 3.2909, decode.d0.loss_mask: 0.8871, decode.d0.loss_dice: 1.3665, decode.d1.loss_cls: 1.3640, decode.d1.loss_mask: 0.8848, decode.d1.loss_dice: 1.2533, decode.d2.loss_cls: 1.1773, decode.d2.loss_mask: 0.8783, decode.d2.loss_dice: 1.2065, decode.d3.loss_cls: 1.1112, decode.d3.loss_mask: 0.8677, decode.d3.loss_dice: 1.1868, decode.d4.loss_cls: 1.0861, decode.d4.loss_mask: 0.8642, decode.d4.loss_dice: 1.1916, decode.d5.loss_cls: 1.0756, decode.d5.loss_mask: 0.8578, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 1.0663, decode.d6.loss_mask: 0.8615, decode.d6.loss_dice: 1.1809, decode.d7.loss_cls: 1.0540, decode.d7.loss_mask: 0.8598, decode.d7.loss_dice: 1.1803, decode.d8.loss_cls: 1.0459, decode.d8.loss_mask: 0.8600, decode.d8.loss_dice: 1.1832, loss: 34.1195 2022-06-21 16:38:00,730 - mmseg - INFO - Iter [18450/40000] lr: 8.297e-06, eta: 3:18:53, time: 0.517, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0513, decode.loss_mask: 0.8173, decode.loss_dice: 1.1915, decode.d0.loss_cls: 3.3154, decode.d0.loss_mask: 0.8414, decode.d0.loss_dice: 1.3511, decode.d1.loss_cls: 1.3890, decode.d1.loss_mask: 0.8276, decode.d1.loss_dice: 1.2372, decode.d2.loss_cls: 1.2049, decode.d2.loss_mask: 0.8137, decode.d2.loss_dice: 1.1965, decode.d3.loss_cls: 1.1293, decode.d3.loss_mask: 0.8138, decode.d3.loss_dice: 1.1900, decode.d4.loss_cls: 1.1002, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.1910, decode.d5.loss_cls: 1.0933, decode.d5.loss_mask: 0.8159, decode.d5.loss_dice: 1.1886, decode.d6.loss_cls: 1.0691, decode.d6.loss_mask: 0.8188, decode.d6.loss_dice: 1.1845, decode.d7.loss_cls: 1.0694, decode.d7.loss_mask: 0.8151, decode.d7.loss_dice: 1.1846, decode.d8.loss_cls: 1.0556, decode.d8.loss_mask: 0.8146, decode.d8.loss_dice: 1.1862, loss: 33.7725 2022-06-21 16:38:26,396 - mmseg - INFO - Iter [18500/40000] lr: 8.278e-06, eta: 3:18:23, time: 0.514, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0585, decode.loss_mask: 0.8211, decode.loss_dice: 1.1581, decode.d0.loss_cls: 3.3213, decode.d0.loss_mask: 0.8575, decode.d0.loss_dice: 1.3480, decode.d1.loss_cls: 1.3578, decode.d1.loss_mask: 0.8431, decode.d1.loss_dice: 1.2300, decode.d2.loss_cls: 1.1813, decode.d2.loss_mask: 0.8213, decode.d2.loss_dice: 1.1724, decode.d3.loss_cls: 1.1167, decode.d3.loss_mask: 0.8242, decode.d3.loss_dice: 1.1596, decode.d4.loss_cls: 1.0948, decode.d4.loss_mask: 0.8193, decode.d4.loss_dice: 1.1655, decode.d5.loss_cls: 1.0817, decode.d5.loss_mask: 0.8212, decode.d5.loss_dice: 1.1590, decode.d6.loss_cls: 1.0731, decode.d6.loss_mask: 0.8213, decode.d6.loss_dice: 1.1566, decode.d7.loss_cls: 1.0623, decode.d7.loss_mask: 0.8216, decode.d7.loss_dice: 1.1602, decode.d8.loss_cls: 1.0548, decode.d8.loss_mask: 0.8158, decode.d8.loss_dice: 1.1635, loss: 33.5416 2022-06-21 16:38:54,845 - mmseg - INFO - Iter [18550/40000] lr: 8.259e-06, eta: 3:17:56, time: 0.569, data_time: 0.058, memory: 40943, decode.loss_cls: 1.0460, decode.loss_mask: 0.8177, decode.loss_dice: 1.1459, decode.d0.loss_cls: 3.3021, decode.d0.loss_mask: 0.8606, decode.d0.loss_dice: 1.3375, decode.d1.loss_cls: 1.3835, decode.d1.loss_mask: 0.8487, decode.d1.loss_dice: 1.2224, decode.d2.loss_cls: 1.1828, decode.d2.loss_mask: 0.8279, decode.d2.loss_dice: 1.1765, decode.d3.loss_cls: 1.1140, decode.d3.loss_mask: 0.8200, decode.d3.loss_dice: 1.1580, decode.d4.loss_cls: 1.0939, decode.d4.loss_mask: 0.8200, decode.d4.loss_dice: 1.1585, decode.d5.loss_cls: 1.0778, decode.d5.loss_mask: 0.8230, decode.d5.loss_dice: 1.1630, decode.d6.loss_cls: 1.0686, decode.d6.loss_mask: 0.8195, decode.d6.loss_dice: 1.1501, decode.d7.loss_cls: 1.0569, decode.d7.loss_mask: 0.8200, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 1.0557, decode.d8.loss_mask: 0.8110, decode.d8.loss_dice: 1.1489, loss: 33.4669 2022-06-21 16:39:20,882 - mmseg - INFO - Iter [18600/40000] lr: 8.240e-06, eta: 3:17:26, time: 0.520, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0364, decode.loss_mask: 0.8441, decode.loss_dice: 1.1694, decode.d0.loss_cls: 3.3349, decode.d0.loss_mask: 0.8840, decode.d0.loss_dice: 1.3604, decode.d1.loss_cls: 1.3784, decode.d1.loss_mask: 0.8654, decode.d1.loss_dice: 1.2400, decode.d2.loss_cls: 1.1707, decode.d2.loss_mask: 0.8483, decode.d2.loss_dice: 1.1860, decode.d3.loss_cls: 1.0959, decode.d3.loss_mask: 0.8494, decode.d3.loss_dice: 1.1790, decode.d4.loss_cls: 1.0715, decode.d4.loss_mask: 0.8499, decode.d4.loss_dice: 1.1754, decode.d5.loss_cls: 1.0515, decode.d5.loss_mask: 0.8488, decode.d5.loss_dice: 1.1719, decode.d6.loss_cls: 1.0492, decode.d6.loss_mask: 0.8442, decode.d6.loss_dice: 1.1608, decode.d7.loss_cls: 1.0347, decode.d7.loss_mask: 0.8436, decode.d7.loss_dice: 1.1650, decode.d8.loss_cls: 1.0320, decode.d8.loss_mask: 0.8459, decode.d8.loss_dice: 1.1623, loss: 33.7488 2022-06-21 16:39:46,524 - mmseg - INFO - Iter [18650/40000] lr: 8.220e-06, eta: 3:16:56, time: 0.513, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0514, decode.loss_mask: 0.8255, decode.loss_dice: 1.2012, decode.d0.loss_cls: 3.3280, decode.d0.loss_mask: 0.8658, decode.d0.loss_dice: 1.3865, decode.d1.loss_cls: 1.4162, decode.d1.loss_mask: 0.8640, decode.d1.loss_dice: 1.2697, decode.d2.loss_cls: 1.2135, decode.d2.loss_mask: 0.8452, decode.d2.loss_dice: 1.2311, decode.d3.loss_cls: 1.1402, decode.d3.loss_mask: 0.8354, decode.d3.loss_dice: 1.2100, decode.d4.loss_cls: 1.1013, decode.d4.loss_mask: 0.8357, decode.d4.loss_dice: 1.2071, decode.d5.loss_cls: 1.0884, decode.d5.loss_mask: 0.8288, decode.d5.loss_dice: 1.2046, decode.d6.loss_cls: 1.0634, decode.d6.loss_mask: 0.8315, decode.d6.loss_dice: 1.1965, decode.d7.loss_cls: 1.0678, decode.d7.loss_mask: 0.8244, decode.d7.loss_dice: 1.1992, decode.d8.loss_cls: 1.0460, decode.d8.loss_mask: 0.8273, decode.d8.loss_dice: 1.2031, loss: 34.2090 2022-06-21 16:40:12,431 - mmseg - INFO - Iter [18700/40000] lr: 8.201e-06, eta: 3:16:27, time: 0.519, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0263, decode.loss_mask: 0.7959, decode.loss_dice: 1.1116, decode.d0.loss_cls: 3.3035, decode.d0.loss_mask: 0.8419, decode.d0.loss_dice: 1.3039, decode.d1.loss_cls: 1.3644, decode.d1.loss_mask: 0.8285, decode.d1.loss_dice: 1.1843, decode.d2.loss_cls: 1.1535, decode.d2.loss_mask: 0.8091, decode.d2.loss_dice: 1.1358, decode.d3.loss_cls: 1.0848, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.1221, decode.d4.loss_cls: 1.0664, decode.d4.loss_mask: 0.8031, decode.d4.loss_dice: 1.1195, decode.d5.loss_cls: 1.0418, decode.d5.loss_mask: 0.8025, decode.d5.loss_dice: 1.1181, decode.d6.loss_cls: 1.0196, decode.d6.loss_mask: 0.8021, decode.d6.loss_dice: 1.1052, decode.d7.loss_cls: 1.0179, decode.d7.loss_mask: 0.8030, decode.d7.loss_dice: 1.1069, decode.d8.loss_cls: 1.0166, decode.d8.loss_mask: 0.7991, decode.d8.loss_dice: 1.1067, loss: 32.5967 2022-06-21 16:40:39,186 - mmseg - INFO - Iter [18750/40000] lr: 8.182e-06, eta: 3:15:58, time: 0.535, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9877, decode.loss_mask: 0.8172, decode.loss_dice: 1.1599, decode.d0.loss_cls: 3.2190, decode.d0.loss_mask: 0.8448, decode.d0.loss_dice: 1.3417, decode.d1.loss_cls: 1.2929, decode.d1.loss_mask: 0.8430, decode.d1.loss_dice: 1.2333, decode.d2.loss_cls: 1.1067, decode.d2.loss_mask: 0.8226, decode.d2.loss_dice: 1.1798, decode.d3.loss_cls: 1.0479, decode.d3.loss_mask: 0.8157, decode.d3.loss_dice: 1.1723, decode.d4.loss_cls: 1.0204, decode.d4.loss_mask: 0.8216, decode.d4.loss_dice: 1.1712, decode.d5.loss_cls: 1.0113, decode.d5.loss_mask: 0.8133, decode.d5.loss_dice: 1.1685, decode.d6.loss_cls: 0.9911, decode.d6.loss_mask: 0.8150, decode.d6.loss_dice: 1.1604, decode.d7.loss_cls: 0.9856, decode.d7.loss_mask: 0.8183, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 0.9830, decode.d8.loss_mask: 0.8160, decode.d8.loss_dice: 1.1649, loss: 32.7900 2022-06-21 16:41:06,216 - mmseg - INFO - Iter [18800/40000] lr: 8.163e-06, eta: 3:15:30, time: 0.541, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0384, decode.loss_mask: 0.8182, decode.loss_dice: 1.1404, decode.d0.loss_cls: 3.3360, decode.d0.loss_mask: 0.8542, decode.d0.loss_dice: 1.3364, decode.d1.loss_cls: 1.3698, decode.d1.loss_mask: 0.8427, decode.d1.loss_dice: 1.2148, decode.d2.loss_cls: 1.1698, decode.d2.loss_mask: 0.8239, decode.d2.loss_dice: 1.1610, decode.d3.loss_cls: 1.1000, decode.d3.loss_mask: 0.8244, decode.d3.loss_dice: 1.1427, decode.d4.loss_cls: 1.0767, decode.d4.loss_mask: 0.8201, decode.d4.loss_dice: 1.1493, decode.d5.loss_cls: 1.0600, decode.d5.loss_mask: 0.8196, decode.d5.loss_dice: 1.1437, decode.d6.loss_cls: 1.0486, decode.d6.loss_mask: 0.8205, decode.d6.loss_dice: 1.1387, decode.d7.loss_cls: 1.0334, decode.d7.loss_mask: 0.8191, decode.d7.loss_dice: 1.1409, decode.d8.loss_cls: 1.0340, decode.d8.loss_mask: 0.8207, decode.d8.loss_dice: 1.1362, loss: 33.2342 2022-06-21 16:41:32,014 - mmseg - INFO - Iter [18850/40000] lr: 8.143e-06, eta: 3:15:00, time: 0.516, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0577, decode.loss_mask: 0.8234, decode.loss_dice: 1.1866, decode.d0.loss_cls: 3.3374, decode.d0.loss_mask: 0.8546, decode.d0.loss_dice: 1.3699, decode.d1.loss_cls: 1.4176, decode.d1.loss_mask: 0.8436, decode.d1.loss_dice: 1.2476, decode.d2.loss_cls: 1.1963, decode.d2.loss_mask: 0.8284, decode.d2.loss_dice: 1.2036, decode.d3.loss_cls: 1.1247, decode.d3.loss_mask: 0.8285, decode.d3.loss_dice: 1.1854, decode.d4.loss_cls: 1.0972, decode.d4.loss_mask: 0.8286, decode.d4.loss_dice: 1.1895, decode.d5.loss_cls: 1.0835, decode.d5.loss_mask: 0.8231, decode.d5.loss_dice: 1.1837, decode.d6.loss_cls: 1.0727, decode.d6.loss_mask: 0.8215, decode.d6.loss_dice: 1.1702, decode.d7.loss_cls: 1.0643, decode.d7.loss_mask: 0.8203, decode.d7.loss_dice: 1.1807, decode.d8.loss_cls: 1.0504, decode.d8.loss_mask: 0.8213, decode.d8.loss_dice: 1.1860, loss: 33.8981 2022-06-21 16:41:57,799 - mmseg - INFO - Iter [18900/40000] lr: 8.124e-06, eta: 3:14:30, time: 0.516, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0387, decode.loss_mask: 0.8139, decode.loss_dice: 1.1449, decode.d0.loss_cls: 3.3260, decode.d0.loss_mask: 0.8545, decode.d0.loss_dice: 1.3457, decode.d1.loss_cls: 1.3779, decode.d1.loss_mask: 0.8366, decode.d1.loss_dice: 1.2215, decode.d2.loss_cls: 1.1801, decode.d2.loss_mask: 0.8167, decode.d2.loss_dice: 1.1687, decode.d3.loss_cls: 1.0885, decode.d3.loss_mask: 0.8150, decode.d3.loss_dice: 1.1579, decode.d4.loss_cls: 1.0753, decode.d4.loss_mask: 0.8105, decode.d4.loss_dice: 1.1471, decode.d5.loss_cls: 1.0566, decode.d5.loss_mask: 0.8137, decode.d5.loss_dice: 1.1508, decode.d6.loss_cls: 1.0431, decode.d6.loss_mask: 0.8098, decode.d6.loss_dice: 1.1462, decode.d7.loss_cls: 1.0403, decode.d7.loss_mask: 0.8115, decode.d7.loss_dice: 1.1500, decode.d8.loss_cls: 1.0327, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.1458, loss: 33.2298 2022-06-21 16:42:23,814 - mmseg - INFO - Iter [18950/40000] lr: 8.105e-06, eta: 3:14:01, time: 0.520, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0105, decode.loss_mask: 0.8324, decode.loss_dice: 1.1641, decode.d0.loss_cls: 3.2326, decode.d0.loss_mask: 0.8623, decode.d0.loss_dice: 1.3332, decode.d1.loss_cls: 1.3293, decode.d1.loss_mask: 0.8573, decode.d1.loss_dice: 1.2274, decode.d2.loss_cls: 1.1439, decode.d2.loss_mask: 0.8345, decode.d2.loss_dice: 1.1746, decode.d3.loss_cls: 1.0912, decode.d3.loss_mask: 0.8281, decode.d3.loss_dice: 1.1612, decode.d4.loss_cls: 1.0618, decode.d4.loss_mask: 0.8336, decode.d4.loss_dice: 1.1679, decode.d5.loss_cls: 1.0443, decode.d5.loss_mask: 0.8314, decode.d5.loss_dice: 1.1649, decode.d6.loss_cls: 1.0215, decode.d6.loss_mask: 0.8345, decode.d6.loss_dice: 1.1673, decode.d7.loss_cls: 1.0198, decode.d7.loss_mask: 0.8321, decode.d7.loss_dice: 1.1649, decode.d8.loss_cls: 1.0145, decode.d8.loss_mask: 0.8321, decode.d8.loss_dice: 1.1641, loss: 33.2373 2022-06-21 16:42:50,855 - mmseg - INFO - Saving checkpoint at 19000 iterations 2022-06-21 16:42:57,717 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:42:57,717 - mmseg - INFO - Iter [19000/40000] lr: 8.086e-06, eta: 3:13:40, time: 0.678, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9990, decode.loss_mask: 0.8306, decode.loss_dice: 1.1707, decode.d0.loss_cls: 3.2727, decode.d0.loss_mask: 0.8618, decode.d0.loss_dice: 1.3509, decode.d1.loss_cls: 1.3135, decode.d1.loss_mask: 0.8572, decode.d1.loss_dice: 1.2407, decode.d2.loss_cls: 1.1237, decode.d2.loss_mask: 0.8432, decode.d2.loss_dice: 1.1949, decode.d3.loss_cls: 1.0584, decode.d3.loss_mask: 0.8371, decode.d3.loss_dice: 1.1807, decode.d4.loss_cls: 1.0391, decode.d4.loss_mask: 0.8303, decode.d4.loss_dice: 1.1839, decode.d5.loss_cls: 1.0244, decode.d5.loss_mask: 0.8313, decode.d5.loss_dice: 1.1731, decode.d6.loss_cls: 1.0131, decode.d6.loss_mask: 0.8316, decode.d6.loss_dice: 1.1711, decode.d7.loss_cls: 1.0020, decode.d7.loss_mask: 0.8290, decode.d7.loss_dice: 1.1739, decode.d8.loss_cls: 0.9939, decode.d8.loss_mask: 0.8321, decode.d8.loss_dice: 1.1703, loss: 33.2340 2022-06-21 16:43:23,667 - mmseg - INFO - Iter [19050/40000] lr: 8.066e-06, eta: 3:13:10, time: 0.519, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9963, decode.loss_mask: 0.8404, decode.loss_dice: 1.1565, decode.d0.loss_cls: 3.2906, decode.d0.loss_mask: 0.8726, decode.d0.loss_dice: 1.3433, decode.d1.loss_cls: 1.3477, decode.d1.loss_mask: 0.8661, decode.d1.loss_dice: 1.2298, decode.d2.loss_cls: 1.1431, decode.d2.loss_mask: 0.8448, decode.d2.loss_dice: 1.1845, decode.d3.loss_cls: 1.0768, decode.d3.loss_mask: 0.8379, decode.d3.loss_dice: 1.1659, decode.d4.loss_cls: 1.0459, decode.d4.loss_mask: 0.8403, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 1.0266, decode.d5.loss_mask: 0.8355, decode.d5.loss_dice: 1.1608, decode.d6.loss_cls: 1.0133, decode.d6.loss_mask: 0.8405, decode.d6.loss_dice: 1.1570, decode.d7.loss_cls: 1.0043, decode.d7.loss_mask: 0.8359, decode.d7.loss_dice: 1.1586, decode.d8.loss_cls: 1.0029, decode.d8.loss_mask: 0.8355, decode.d8.loss_dice: 1.1610, loss: 33.2821 2022-06-21 16:43:49,453 - mmseg - INFO - Iter [19100/40000] lr: 8.047e-06, eta: 3:12:41, time: 0.515, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9984, decode.loss_mask: 0.8127, decode.loss_dice: 1.1144, decode.d0.loss_cls: 3.2412, decode.d0.loss_mask: 0.8490, decode.d0.loss_dice: 1.3062, decode.d1.loss_cls: 1.3275, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.2012, decode.d2.loss_cls: 1.1365, decode.d2.loss_mask: 0.8278, decode.d2.loss_dice: 1.1481, decode.d3.loss_cls: 1.0676, decode.d3.loss_mask: 0.8192, decode.d3.loss_dice: 1.1327, decode.d4.loss_cls: 1.0478, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.1275, decode.d5.loss_cls: 1.0173, decode.d5.loss_mask: 0.8169, decode.d5.loss_dice: 1.1260, decode.d6.loss_cls: 1.0200, decode.d6.loss_mask: 0.8156, decode.d6.loss_dice: 1.1245, decode.d7.loss_cls: 1.0008, decode.d7.loss_mask: 0.8159, decode.d7.loss_dice: 1.1253, decode.d8.loss_cls: 0.9965, decode.d8.loss_mask: 0.8140, decode.d8.loss_dice: 1.1250, loss: 32.6141 2022-06-21 16:44:17,619 - mmseg - INFO - Iter [19150/40000] lr: 8.028e-06, eta: 3:12:13, time: 0.563, data_time: 0.058, memory: 40943, decode.loss_cls: 1.0101, decode.loss_mask: 0.8246, decode.loss_dice: 1.1435, decode.d0.loss_cls: 3.2742, decode.d0.loss_mask: 0.8567, decode.d0.loss_dice: 1.3190, decode.d1.loss_cls: 1.3557, decode.d1.loss_mask: 0.8534, decode.d1.loss_dice: 1.2106, decode.d2.loss_cls: 1.1555, decode.d2.loss_mask: 0.8417, decode.d2.loss_dice: 1.1724, decode.d3.loss_cls: 1.0865, decode.d3.loss_mask: 0.8299, decode.d3.loss_dice: 1.1507, decode.d4.loss_cls: 1.0531, decode.d4.loss_mask: 0.8302, decode.d4.loss_dice: 1.1481, decode.d5.loss_cls: 1.0402, decode.d5.loss_mask: 0.8242, decode.d5.loss_dice: 1.1466, decode.d6.loss_cls: 1.0279, decode.d6.loss_mask: 0.8298, decode.d6.loss_dice: 1.1382, decode.d7.loss_cls: 1.0183, decode.d7.loss_mask: 0.8275, decode.d7.loss_dice: 1.1397, decode.d8.loss_cls: 1.0128, decode.d8.loss_mask: 0.8261, decode.d8.loss_dice: 1.1398, loss: 33.0871 2022-06-21 16:44:43,960 - mmseg - INFO - Iter [19200/40000] lr: 8.009e-06, eta: 3:11:44, time: 0.527, data_time: 0.011, memory: 40943, decode.loss_cls: 1.0338, decode.loss_mask: 0.8253, decode.loss_dice: 1.2246, decode.d0.loss_cls: 3.3832, decode.d0.loss_mask: 0.8546, decode.d0.loss_dice: 1.4042, decode.d1.loss_cls: 1.3879, decode.d1.loss_mask: 0.8514, decode.d1.loss_dice: 1.2920, decode.d2.loss_cls: 1.1840, decode.d2.loss_mask: 0.8299, decode.d2.loss_dice: 1.2401, decode.d3.loss_cls: 1.1045, decode.d3.loss_mask: 0.8289, decode.d3.loss_dice: 1.2270, decode.d4.loss_cls: 1.0805, decode.d4.loss_mask: 0.8285, decode.d4.loss_dice: 1.2297, decode.d5.loss_cls: 1.0511, decode.d5.loss_mask: 0.8297, decode.d5.loss_dice: 1.2263, decode.d6.loss_cls: 1.0452, decode.d6.loss_mask: 0.8305, decode.d6.loss_dice: 1.2196, decode.d7.loss_cls: 1.0340, decode.d7.loss_mask: 0.8277, decode.d7.loss_dice: 1.2220, decode.d8.loss_cls: 1.0263, decode.d8.loss_mask: 0.8249, decode.d8.loss_dice: 1.2191, loss: 34.1663 2022-06-21 16:45:09,616 - mmseg - INFO - Iter [19250/40000] lr: 7.989e-06, eta: 3:11:15, time: 0.513, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0412, decode.loss_mask: 0.8139, decode.loss_dice: 1.1505, decode.d0.loss_cls: 3.3004, decode.d0.loss_mask: 0.8587, decode.d0.loss_dice: 1.3302, decode.d1.loss_cls: 1.3621, decode.d1.loss_mask: 0.8381, decode.d1.loss_dice: 1.2296, decode.d2.loss_cls: 1.1737, decode.d2.loss_mask: 0.8219, decode.d2.loss_dice: 1.1873, decode.d3.loss_cls: 1.1045, decode.d3.loss_mask: 0.8216, decode.d3.loss_dice: 1.1693, decode.d4.loss_cls: 1.0852, decode.d4.loss_mask: 0.8184, decode.d4.loss_dice: 1.1724, decode.d5.loss_cls: 1.0670, decode.d5.loss_mask: 0.8184, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 1.0560, decode.d6.loss_mask: 0.8182, decode.d6.loss_dice: 1.1578, decode.d7.loss_cls: 1.0499, decode.d7.loss_mask: 0.8183, decode.d7.loss_dice: 1.1578, decode.d8.loss_cls: 1.0400, decode.d8.loss_mask: 0.8157, decode.d8.loss_dice: 1.1519, loss: 33.3951 2022-06-21 16:45:36,175 - mmseg - INFO - Iter [19300/40000] lr: 7.970e-06, eta: 3:10:46, time: 0.530, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9714, decode.loss_mask: 0.8229, decode.loss_dice: 1.1331, decode.d0.loss_cls: 3.2505, decode.d0.loss_mask: 0.8665, decode.d0.loss_dice: 1.3106, decode.d1.loss_cls: 1.3070, decode.d1.loss_mask: 0.8552, decode.d1.loss_dice: 1.2055, decode.d2.loss_cls: 1.1121, decode.d2.loss_mask: 0.8328, decode.d2.loss_dice: 1.1545, decode.d3.loss_cls: 1.0506, decode.d3.loss_mask: 0.8252, decode.d3.loss_dice: 1.1446, decode.d4.loss_cls: 1.0152, decode.d4.loss_mask: 0.8237, decode.d4.loss_dice: 1.1434, decode.d5.loss_cls: 1.0016, decode.d5.loss_mask: 0.8236, decode.d5.loss_dice: 1.1353, decode.d6.loss_cls: 0.9868, decode.d6.loss_mask: 0.8222, decode.d6.loss_dice: 1.1290, decode.d7.loss_cls: 0.9752, decode.d7.loss_mask: 0.8265, decode.d7.loss_dice: 1.1353, decode.d8.loss_cls: 0.9670, decode.d8.loss_mask: 0.8278, decode.d8.loss_dice: 1.1330, loss: 32.5883 2022-06-21 16:46:02,738 - mmseg - INFO - Iter [19350/40000] lr: 7.951e-06, eta: 3:10:17, time: 0.531, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9459, decode.loss_mask: 0.8137, decode.loss_dice: 1.1220, decode.d0.loss_cls: 3.2354, decode.d0.loss_mask: 0.8549, decode.d0.loss_dice: 1.3137, decode.d1.loss_cls: 1.2886, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.1922, decode.d2.loss_cls: 1.0890, decode.d2.loss_mask: 0.8198, decode.d2.loss_dice: 1.1467, decode.d3.loss_cls: 1.0101, decode.d3.loss_mask: 0.8120, decode.d3.loss_dice: 1.1379, decode.d4.loss_cls: 0.9818, decode.d4.loss_mask: 0.8146, decode.d4.loss_dice: 1.1379, decode.d5.loss_cls: 0.9680, decode.d5.loss_mask: 0.8127, decode.d5.loss_dice: 1.1327, decode.d6.loss_cls: 0.9538, decode.d6.loss_mask: 0.8131, decode.d6.loss_dice: 1.1198, decode.d7.loss_cls: 0.9571, decode.d7.loss_mask: 0.8108, decode.d7.loss_dice: 1.1221, decode.d8.loss_cls: 0.9458, decode.d8.loss_mask: 0.8133, decode.d8.loss_dice: 1.1250, loss: 32.1266 2022-06-21 16:46:28,467 - mmseg - INFO - Iter [19400/40000] lr: 7.932e-06, eta: 3:09:47, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0089, decode.loss_mask: 0.8220, decode.loss_dice: 1.1617, decode.d0.loss_cls: 3.2896, decode.d0.loss_mask: 0.8559, decode.d0.loss_dice: 1.3515, decode.d1.loss_cls: 1.3579, decode.d1.loss_mask: 0.8493, decode.d1.loss_dice: 1.2358, decode.d2.loss_cls: 1.1544, decode.d2.loss_mask: 0.8299, decode.d2.loss_dice: 1.1873, decode.d3.loss_cls: 1.0893, decode.d3.loss_mask: 0.8281, decode.d3.loss_dice: 1.1765, decode.d4.loss_cls: 1.0530, decode.d4.loss_mask: 0.8266, decode.d4.loss_dice: 1.1784, decode.d5.loss_cls: 1.0356, decode.d5.loss_mask: 0.8247, decode.d5.loss_dice: 1.1752, decode.d6.loss_cls: 1.0180, decode.d6.loss_mask: 0.8236, decode.d6.loss_dice: 1.1607, decode.d7.loss_cls: 1.0207, decode.d7.loss_mask: 0.8238, decode.d7.loss_dice: 1.1585, decode.d8.loss_cls: 1.0138, decode.d8.loss_mask: 0.8238, decode.d8.loss_dice: 1.1639, loss: 33.2984 2022-06-21 16:46:54,053 - mmseg - INFO - Iter [19450/40000] lr: 7.912e-06, eta: 3:09:17, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9583, decode.loss_mask: 0.8257, decode.loss_dice: 1.1231, decode.d0.loss_cls: 3.2085, decode.d0.loss_mask: 0.8596, decode.d0.loss_dice: 1.3083, decode.d1.loss_cls: 1.2883, decode.d1.loss_mask: 0.8539, decode.d1.loss_dice: 1.1928, decode.d2.loss_cls: 1.0950, decode.d2.loss_mask: 0.8399, decode.d2.loss_dice: 1.1526, decode.d3.loss_cls: 1.0276, decode.d3.loss_mask: 0.8306, decode.d3.loss_dice: 1.1324, decode.d4.loss_cls: 1.0002, decode.d4.loss_mask: 0.8313, decode.d4.loss_dice: 1.1352, decode.d5.loss_cls: 0.9862, decode.d5.loss_mask: 0.8281, decode.d5.loss_dice: 1.1379, decode.d6.loss_cls: 0.9693, decode.d6.loss_mask: 0.8288, decode.d6.loss_dice: 1.1278, decode.d7.loss_cls: 0.9676, decode.d7.loss_mask: 0.8280, decode.d7.loss_dice: 1.1278, decode.d8.loss_cls: 0.9614, decode.d8.loss_mask: 0.8200, decode.d8.loss_dice: 1.1296, loss: 32.3757 2022-06-21 16:47:19,072 - mmseg - INFO - Iter [19500/40000] lr: 7.893e-06, eta: 3:08:47, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0224, decode.loss_mask: 0.8266, decode.loss_dice: 1.1797, decode.d0.loss_cls: 3.3160, decode.d0.loss_mask: 0.8670, decode.d0.loss_dice: 1.3629, decode.d1.loss_cls: 1.3564, decode.d1.loss_mask: 0.8566, decode.d1.loss_dice: 1.2484, decode.d2.loss_cls: 1.1530, decode.d2.loss_mask: 0.8329, decode.d2.loss_dice: 1.1999, decode.d3.loss_cls: 1.0881, decode.d3.loss_mask: 0.8267, decode.d3.loss_dice: 1.1875, decode.d4.loss_cls: 1.0496, decode.d4.loss_mask: 0.8310, decode.d4.loss_dice: 1.1897, decode.d5.loss_cls: 1.0429, decode.d5.loss_mask: 0.8247, decode.d5.loss_dice: 1.1899, decode.d6.loss_cls: 1.0239, decode.d6.loss_mask: 0.8291, decode.d6.loss_dice: 1.1810, decode.d7.loss_cls: 1.0197, decode.d7.loss_mask: 0.8245, decode.d7.loss_dice: 1.1824, decode.d8.loss_cls: 1.0163, decode.d8.loss_mask: 0.8257, decode.d8.loss_dice: 1.1746, loss: 33.5293 2022-06-21 16:47:44,618 - mmseg - INFO - Iter [19550/40000] lr: 7.874e-06, eta: 3:08:17, time: 0.510, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9890, decode.loss_mask: 0.8008, decode.loss_dice: 1.1417, decode.d0.loss_cls: 3.2778, decode.d0.loss_mask: 0.8400, decode.d0.loss_dice: 1.3310, decode.d1.loss_cls: 1.3351, decode.d1.loss_mask: 0.8326, decode.d1.loss_dice: 1.2143, decode.d2.loss_cls: 1.1370, decode.d2.loss_mask: 0.8064, decode.d2.loss_dice: 1.1613, decode.d3.loss_cls: 1.0682, decode.d3.loss_mask: 0.8028, decode.d3.loss_dice: 1.1494, decode.d4.loss_cls: 1.0480, decode.d4.loss_mask: 0.8016, decode.d4.loss_dice: 1.1515, decode.d5.loss_cls: 1.0270, decode.d5.loss_mask: 0.8017, decode.d5.loss_dice: 1.1404, decode.d6.loss_cls: 0.9949, decode.d6.loss_mask: 0.8043, decode.d6.loss_dice: 1.1406, decode.d7.loss_cls: 1.0006, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.1391, decode.d8.loss_cls: 0.9940, decode.d8.loss_mask: 0.8023, decode.d8.loss_dice: 1.1367, loss: 32.6735 2022-06-21 16:48:10,153 - mmseg - INFO - Iter [19600/40000] lr: 7.855e-06, eta: 3:07:47, time: 0.511, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9760, decode.loss_mask: 0.8420, decode.loss_dice: 1.1425, decode.d0.loss_cls: 3.2469, decode.d0.loss_mask: 0.8781, decode.d0.loss_dice: 1.3327, decode.d1.loss_cls: 1.3163, decode.d1.loss_mask: 0.8687, decode.d1.loss_dice: 1.2238, decode.d2.loss_cls: 1.1112, decode.d2.loss_mask: 0.8516, decode.d2.loss_dice: 1.1690, decode.d3.loss_cls: 1.0463, decode.d3.loss_mask: 0.8509, decode.d3.loss_dice: 1.1524, decode.d4.loss_cls: 1.0165, decode.d4.loss_mask: 0.8479, decode.d4.loss_dice: 1.1561, decode.d5.loss_cls: 1.0011, decode.d5.loss_mask: 0.8459, decode.d5.loss_dice: 1.1514, decode.d6.loss_cls: 0.9853, decode.d6.loss_mask: 0.8427, decode.d6.loss_dice: 1.1467, decode.d7.loss_cls: 0.9813, decode.d7.loss_mask: 0.8453, decode.d7.loss_dice: 1.1465, decode.d8.loss_cls: 0.9793, decode.d8.loss_mask: 0.8424, decode.d8.loss_dice: 1.1460, loss: 32.9429 2022-06-21 16:48:35,414 - mmseg - INFO - Iter [19650/40000] lr: 7.835e-06, eta: 3:07:17, time: 0.505, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9523, decode.loss_mask: 0.8216, decode.loss_dice: 1.1606, decode.d0.loss_cls: 3.1979, decode.d0.loss_mask: 0.8622, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 1.2849, decode.d1.loss_mask: 0.8473, decode.d1.loss_dice: 1.2144, decode.d2.loss_cls: 1.0974, decode.d2.loss_mask: 0.8284, decode.d2.loss_dice: 1.1734, decode.d3.loss_cls: 1.0187, decode.d3.loss_mask: 0.8245, decode.d3.loss_dice: 1.1637, decode.d4.loss_cls: 0.9930, decode.d4.loss_mask: 0.8237, decode.d4.loss_dice: 1.1671, decode.d5.loss_cls: 0.9769, decode.d5.loss_mask: 0.8274, decode.d5.loss_dice: 1.1610, decode.d6.loss_cls: 0.9614, decode.d6.loss_mask: 0.8275, decode.d6.loss_dice: 1.1552, decode.d7.loss_cls: 0.9658, decode.d7.loss_mask: 0.8193, decode.d7.loss_dice: 1.1552, decode.d8.loss_cls: 0.9510, decode.d8.loss_mask: 0.8216, decode.d8.loss_dice: 1.1532, loss: 32.5267 2022-06-21 16:49:03,822 - mmseg - INFO - Iter [19700/40000] lr: 7.816e-06, eta: 3:06:51, time: 0.569, data_time: 0.060, memory: 40943, decode.loss_cls: 0.9671, decode.loss_mask: 0.8237, decode.loss_dice: 1.1289, decode.d0.loss_cls: 3.2412, decode.d0.loss_mask: 0.8621, decode.d0.loss_dice: 1.3009, decode.d1.loss_cls: 1.3156, decode.d1.loss_mask: 0.8565, decode.d1.loss_dice: 1.1971, decode.d2.loss_cls: 1.1172, decode.d2.loss_mask: 0.8285, decode.d2.loss_dice: 1.1511, decode.d3.loss_cls: 1.0419, decode.d3.loss_mask: 0.8270, decode.d3.loss_dice: 1.1324, decode.d4.loss_cls: 1.0208, decode.d4.loss_mask: 0.8293, decode.d4.loss_dice: 1.1423, decode.d5.loss_cls: 0.9974, decode.d5.loss_mask: 0.8246, decode.d5.loss_dice: 1.1299, decode.d6.loss_cls: 0.9761, decode.d6.loss_mask: 0.8301, decode.d6.loss_dice: 1.1302, decode.d7.loss_cls: 0.9798, decode.d7.loss_mask: 0.8249, decode.d7.loss_dice: 1.1260, decode.d8.loss_cls: 0.9668, decode.d8.loss_mask: 0.8235, decode.d8.loss_dice: 1.1241, loss: 32.5174 2022-06-21 16:49:28,574 - mmseg - INFO - Iter [19750/40000] lr: 7.797e-06, eta: 3:06:20, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9928, decode.loss_mask: 0.8191, decode.loss_dice: 1.1468, decode.d0.loss_cls: 3.2721, decode.d0.loss_mask: 0.8567, decode.d0.loss_dice: 1.3363, decode.d1.loss_cls: 1.3378, decode.d1.loss_mask: 0.8473, decode.d1.loss_dice: 1.2287, decode.d2.loss_cls: 1.1505, decode.d2.loss_mask: 0.8297, decode.d2.loss_dice: 1.1728, decode.d3.loss_cls: 1.0791, decode.d3.loss_mask: 0.8217, decode.d3.loss_dice: 1.1520, decode.d4.loss_cls: 1.0394, decode.d4.loss_mask: 0.8226, decode.d4.loss_dice: 1.1537, decode.d5.loss_cls: 1.0204, decode.d5.loss_mask: 0.8193, decode.d5.loss_dice: 1.1560, decode.d6.loss_cls: 1.0042, decode.d6.loss_mask: 0.8196, decode.d6.loss_dice: 1.1532, decode.d7.loss_cls: 1.0022, decode.d7.loss_mask: 0.8133, decode.d7.loss_dice: 1.1541, decode.d8.loss_cls: 0.9906, decode.d8.loss_mask: 0.8158, decode.d8.loss_dice: 1.1483, loss: 32.9561 2022-06-21 16:49:54,038 - mmseg - INFO - Iter [19800/40000] lr: 7.778e-06, eta: 3:05:50, time: 0.509, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9778, decode.loss_mask: 0.8024, decode.loss_dice: 1.1142, decode.d0.loss_cls: 3.2414, decode.d0.loss_mask: 0.8282, decode.d0.loss_dice: 1.2772, decode.d1.loss_cls: 1.3205, decode.d1.loss_mask: 0.8284, decode.d1.loss_dice: 1.1740, decode.d2.loss_cls: 1.1134, decode.d2.loss_mask: 0.8091, decode.d2.loss_dice: 1.1311, decode.d3.loss_cls: 1.0459, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.1159, decode.d4.loss_cls: 1.0137, decode.d4.loss_mask: 0.8035, decode.d4.loss_dice: 1.1196, decode.d5.loss_cls: 0.9979, decode.d5.loss_mask: 0.8029, decode.d5.loss_dice: 1.1087, decode.d6.loss_cls: 0.9735, decode.d6.loss_mask: 0.8032, decode.d6.loss_dice: 1.1076, decode.d7.loss_cls: 0.9754, decode.d7.loss_mask: 0.8040, decode.d7.loss_dice: 1.1115, decode.d8.loss_cls: 0.9703, decode.d8.loss_mask: 0.8014, decode.d8.loss_dice: 1.1144, loss: 32.0887 2022-06-21 16:50:18,608 - mmseg - INFO - Iter [19850/40000] lr: 7.758e-06, eta: 3:05:20, time: 0.491, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9724, decode.loss_mask: 0.8073, decode.loss_dice: 1.1847, decode.d0.loss_cls: 3.2782, decode.d0.loss_mask: 0.8462, decode.d0.loss_dice: 1.3661, decode.d1.loss_cls: 1.3095, decode.d1.loss_mask: 0.8374, decode.d1.loss_dice: 1.2537, decode.d2.loss_cls: 1.1192, decode.d2.loss_mask: 0.8170, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 1.0367, decode.d3.loss_mask: 0.8123, decode.d3.loss_dice: 1.1954, decode.d4.loss_cls: 1.0194, decode.d4.loss_mask: 0.8103, decode.d4.loss_dice: 1.1916, decode.d5.loss_cls: 1.0002, decode.d5.loss_mask: 0.8044, decode.d5.loss_dice: 1.1887, decode.d6.loss_cls: 0.9884, decode.d6.loss_mask: 0.8059, decode.d6.loss_dice: 1.1860, decode.d7.loss_cls: 0.9768, decode.d7.loss_mask: 0.8082, decode.d7.loss_dice: 1.1885, decode.d8.loss_cls: 0.9679, decode.d8.loss_mask: 0.8060, decode.d8.loss_dice: 1.1826, loss: 32.9670 2022-06-21 16:50:42,958 - mmseg - INFO - Iter [19900/40000] lr: 7.739e-06, eta: 3:04:49, time: 0.488, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0215, decode.loss_mask: 0.8551, decode.loss_dice: 1.1744, decode.d0.loss_cls: 3.2719, decode.d0.loss_mask: 0.8881, decode.d0.loss_dice: 1.3577, decode.d1.loss_cls: 1.3490, decode.d1.loss_mask: 0.8788, decode.d1.loss_dice: 1.2430, decode.d2.loss_cls: 1.1573, decode.d2.loss_mask: 0.8618, decode.d2.loss_dice: 1.1997, decode.d3.loss_cls: 1.0856, decode.d3.loss_mask: 0.8570, decode.d3.loss_dice: 1.1897, decode.d4.loss_cls: 1.0644, decode.d4.loss_mask: 0.8554, decode.d4.loss_dice: 1.1880, decode.d5.loss_cls: 1.0457, decode.d5.loss_mask: 0.8558, decode.d5.loss_dice: 1.1799, decode.d6.loss_cls: 1.0364, decode.d6.loss_mask: 0.8558, decode.d6.loss_dice: 1.1812, decode.d7.loss_cls: 1.0278, decode.d7.loss_mask: 0.8561, decode.d7.loss_dice: 1.1822, decode.d8.loss_cls: 1.0268, decode.d8.loss_mask: 0.8541, decode.d8.loss_dice: 1.1778, loss: 33.7779 2022-06-21 16:51:07,430 - mmseg - INFO - Iter [19950/40000] lr: 7.720e-06, eta: 3:04:18, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9636, decode.loss_mask: 0.8242, decode.loss_dice: 1.1534, decode.d0.loss_cls: 3.2101, decode.d0.loss_mask: 0.8451, decode.d0.loss_dice: 1.3266, decode.d1.loss_cls: 1.2968, decode.d1.loss_mask: 0.8402, decode.d1.loss_dice: 1.2209, decode.d2.loss_cls: 1.1054, decode.d2.loss_mask: 0.8275, decode.d2.loss_dice: 1.1778, decode.d3.loss_cls: 1.0318, decode.d3.loss_mask: 0.8301, decode.d3.loss_dice: 1.1628, decode.d4.loss_cls: 1.0035, decode.d4.loss_mask: 0.8252, decode.d4.loss_dice: 1.1586, decode.d5.loss_cls: 0.9939, decode.d5.loss_mask: 0.8242, decode.d5.loss_dice: 1.1575, decode.d6.loss_cls: 0.9803, decode.d6.loss_mask: 0.8280, decode.d6.loss_dice: 1.1491, decode.d7.loss_cls: 0.9648, decode.d7.loss_mask: 0.8240, decode.d7.loss_dice: 1.1549, decode.d8.loss_cls: 0.9706, decode.d8.loss_mask: 0.8232, decode.d8.loss_dice: 1.1504, loss: 32.6247 2022-06-21 16:51:32,614 - mmseg - INFO - Saving checkpoint at 20000 iterations 2022-06-21 16:51:39,624 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:51:39,624 - mmseg - INFO - Iter [20000/40000] lr: 7.701e-06, eta: 3:03:55, time: 0.644, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9511, decode.loss_mask: 0.8208, decode.loss_dice: 1.1623, decode.d0.loss_cls: 3.1823, decode.d0.loss_mask: 0.8568, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 1.2830, decode.d1.loss_mask: 0.8407, decode.d1.loss_dice: 1.2238, decode.d2.loss_cls: 1.1014, decode.d2.loss_mask: 0.8253, decode.d2.loss_dice: 1.1729, decode.d3.loss_cls: 1.0222, decode.d3.loss_mask: 0.8241, decode.d3.loss_dice: 1.1600, decode.d4.loss_cls: 1.0022, decode.d4.loss_mask: 0.8216, decode.d4.loss_dice: 1.1645, decode.d5.loss_cls: 0.9735, decode.d5.loss_mask: 0.8258, decode.d5.loss_dice: 1.1590, decode.d6.loss_cls: 0.9657, decode.d6.loss_mask: 0.8245, decode.d6.loss_dice: 1.1546, decode.d7.loss_cls: 0.9569, decode.d7.loss_mask: 0.8268, decode.d7.loss_dice: 1.1608, decode.d8.loss_cls: 0.9569, decode.d8.loss_mask: 0.8179, decode.d8.loss_dice: 1.1580, loss: 32.5188 2022-06-21 16:51:58,701 - mmseg - INFO - per class results: 2022-06-21 16:51:58,709 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.42 | 93.42 | | bicycle | 69.92 | 89.44 | | car | 59.03 | 66.66 | | motorcycle | 82.88 | 88.54 | | airplane | 84.09 | 93.97 | | bus | 86.37 | 90.62 | | train | 81.29 | 95.02 | | truck | 70.09 | 87.25 | | boat | 78.61 | 87.21 | | traffic light | 76.08 | 91.83 | | fire hydrant | 93.84 | 97.13 | | stop sign | 94.52 | 96.29 | | parking meter | 87.28 | 91.08 | | bench | 51.82 | 68.4 | | bird | 68.44 | 79.24 | | cat | 91.74 | 94.48 | | dog | 90.69 | 94.78 | | horse | 91.04 | 95.77 | | sheep | 87.78 | 90.49 | | cow | 96.06 | 98.07 | | elephant | 92.5 | 95.74 | | bear | 92.62 | 94.06 | | zebra | 91.74 | 94.93 | | giraffe | 87.26 | 92.25 | | backpack | 18.51 | 47.16 | | umbrella | 76.87 | 87.54 | | handbag | 24.97 | 49.19 | | tie | 0.0 | 0.0 | | suitcase | 78.87 | 92.21 | | frisbee | 93.81 | 97.14 | | skis | 30.7 | 43.45 | | snowboard | 58.18 | 75.51 | | sports ball | 79.71 | 94.76 | | kite | 76.76 | 80.87 | | baseball bat | 53.19 | 72.48 | | baseball glove | 6.47 | 6.73 | | skateboard | 67.73 | 82.47 | | surfboard | 89.43 | 94.38 | | tennis racket | 76.24 | 80.78 | | bottle | 63.16 | 79.47 | | wine glass | 83.65 | 95.27 | | cup | 70.33 | 81.41 | | fork | 35.92 | 53.4 | | knife | 68.25 | 80.26 | | spoon | 41.36 | 58.41 | | bowl | 53.07 | 73.62 | | banana | 73.3 | 78.2 | | apple | 74.09 | 86.73 | | sandwich | 87.71 | 97.88 | | orange | 35.06 | 45.83 | | broccoli | 88.43 | 97.41 | | carrot | 54.5 | 77.38 | | hot dog | 60.08 | 95.49 | | pizza | 93.76 | 95.5 | | donut | 67.62 | 86.46 | | cake | 71.84 | 82.58 | | chair | 59.03 | 78.98 | | couch | 70.81 | 86.97 | | potted plant | 28.23 | 37.32 | | bed | 71.2 | 85.28 | | dining table | 55.46 | 74.84 | | toilet | 85.12 | 95.71 | | tv | 79.56 | 93.9 | | laptop | 83.58 | 93.98 | | mouse | 69.92 | 75.05 | | remote | 70.82 | 89.78 | | keyboard | 85.3 | 97.49 | | cell phone | 75.46 | 89.49 | | microwave | 68.61 | 72.69 | | oven | 56.63 | 82.56 | | toaster | 0.0 | 0.0 | | sink | 64.24 | 71.57 | | refrigerator | 79.54 | 94.45 | | book | 76.26 | 90.7 | | clock | 74.43 | 79.7 | | vase | 57.2 | 94.37 | | scissors | 84.46 | 93.28 | | teddy bear | 84.48 | 91.04 | | hair drier | 0.0 | 0.0 | | toothbrush | 15.73 | 23.57 | | banner | 33.42 | 64.19 | | blanket | 0.0 | 0.0 | | branch | 0.0 | 0.0 | | bridge | 4.56 | 7.43 | | building-other | 56.57 | 78.65 | | bush | 38.73 | 53.16 | | cabinet | 20.95 | 32.53 | | cage | 0.0 | 0.0 | | cardboard | 17.28 | 29.03 | | carpet | 62.8 | 75.0 | | ceiling-other | 69.97 | 84.06 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 20.67 | 29.05 | | clouds | 52.89 | 71.8 | | counter | 34.09 | 40.7 | | cupboard | 55.0 | 71.61 | | curtain | 63.62 | 85.19 | | desk-stuff | 28.99 | 33.03 | | dirt | 38.02 | 68.6 | | door-stuff | 45.51 | 61.22 | | fence | 42.11 | 76.92 | | floor-marble | 0.0 | 0.0 | | floor-other | 40.68 | 60.86 | | floor-stone | 11.54 | 11.56 | | floor-tile | 62.76 | 74.84 | | floor-wood | 72.95 | 83.68 | | flower | 15.75 | 44.46 | | fog | 0.0 | 0.0 | | food-other | 27.51 | 62.14 | | fruit | 48.37 | 51.57 | | furniture-other | 18.28 | 29.9 | | grass | 74.82 | 84.1 | | gravel | 28.91 | 31.26 | | ground-other | 7.14 | 12.73 | | hill | 25.78 | 39.24 | | house | 32.96 | 42.87 | | leaves | 20.38 | 21.87 | | light | 37.77 | 52.72 | | mat | 10.27 | 14.61 | | metal | 22.28 | 31.28 | | mirror-stuff | 28.98 | 49.9 | | moss | 0.0 | 0.0 | | mountain | 26.71 | 41.85 | | mud | 0.0 | 0.0 | | napkin | 58.51 | 59.0 | | net | 23.3 | 24.44 | | paper | 35.65 | 48.35 | | pavement | 43.43 | 60.78 | | pillow | 0.0 | 0.0 | | plant-other | 33.07 | 50.59 | | plastic | 4.79 | 5.23 | | platform | 33.27 | 51.54 | | playingfield | 71.97 | 82.92 | | railing | 19.55 | 38.92 | | railroad | 61.28 | 82.82 | | river | 9.29 | 9.49 | | road | 72.91 | 83.22 | | rock | 47.36 | 80.64 | | roof | 33.77 | 66.1 | | rug | 44.07 | 52.89 | | salad | 0.0 | 0.0 | | sand | 67.55 | 86.53 | | sea | 71.48 | 92.96 | | shelf | 22.14 | 38.97 | | sky-other | 59.51 | 72.98 | | skyscraper | 11.54 | 14.12 | | snow | 91.66 | 93.6 | | solid-other | nan | nan | | stairs | 23.51 | 35.42 | | stone | 0.05 | 0.07 | | straw | 16.37 | 33.51 | | structural-other | 18.81 | 32.01 | | table | 12.13 | 18.51 | | tent | 39.67 | 49.34 | | textile-other | 20.93 | 34.33 | | towel | 29.97 | 45.35 | | tree | 78.55 | 86.89 | | vegetable | 32.13 | 50.09 | | wall-brick | 37.67 | 53.38 | | wall-concrete | 26.78 | 31.24 | | wall-other | 61.57 | 78.86 | | wall-panel | 0.0 | 0.0 | | wall-stone | 27.55 | 29.86 | | wall-tile | 46.74 | 77.33 | | wall-wood | 41.6 | 63.82 | | water-other | 21.19 | 30.63 | | waterdrops | nan | nan | | window-blind | 27.5 | 67.21 | | window-other | 42.25 | 55.82 | | wood | 16.44 | 27.39 | +------------------+-------+-------+ 2022-06-21 16:51:58,709 - mmseg - INFO - Summary: 2022-06-21 16:51:58,709 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 74.53 | 48.99 | 60.53 | +-------+-------+-------+ 2022-06-21 16:51:58,713 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_16000.pth was removed 2022-06-21 16:52:04,555 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_20000.pth. 2022-06-21 16:52:04,555 - mmseg - INFO - Best mIoU is 0.4899 at 20000 iter. 2022-06-21 16:52:04,560 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 16:52:04,560 - mmseg - INFO - Iter(val) [125] aAcc: 0.7453, mIoU: 0.4899, mAcc: 0.6053, IoU.person: 0.8742, IoU.bicycle: 0.6992, IoU.car: 0.5903, IoU.motorcycle: 0.8288, IoU.airplane: 0.8409, IoU.bus: 0.8637, IoU.train: 0.8129, IoU.truck: 0.7009, IoU.boat: 0.7861, IoU.traffic light: 0.7608, IoU.fire hydrant: 0.9384, IoU.stop sign: 0.9452, IoU.parking meter: 0.8728, IoU.bench: 0.5182, IoU.bird: 0.6844, IoU.cat: 0.9174, IoU.dog: 0.9069, IoU.horse: 0.9104, IoU.sheep: 0.8778, IoU.cow: 0.9606, IoU.elephant: 0.9250, IoU.bear: 0.9262, IoU.zebra: 0.9174, IoU.giraffe: 0.8726, IoU.backpack: 0.1851, IoU.umbrella: 0.7687, IoU.handbag: 0.2497, IoU.tie: 0.0000, IoU.suitcase: 0.7887, IoU.frisbee: 0.9381, IoU.skis: 0.3070, IoU.snowboard: 0.5818, IoU.sports ball: 0.7971, IoU.kite: 0.7676, IoU.baseball bat: 0.5319, IoU.baseball glove: 0.0647, IoU.skateboard: 0.6773, IoU.surfboard: 0.8943, IoU.tennis racket: 0.7624, IoU.bottle: 0.6316, IoU.wine glass: 0.8365, IoU.cup: 0.7033, IoU.fork: 0.3592, IoU.knife: 0.6825, IoU.spoon: 0.4136, IoU.bowl: 0.5307, IoU.banana: 0.7330, IoU.apple: 0.7409, IoU.sandwich: 0.8771, IoU.orange: 0.3506, IoU.broccoli: 0.8843, IoU.carrot: 0.5450, IoU.hot dog: 0.6008, IoU.pizza: 0.9376, IoU.donut: 0.6762, IoU.cake: 0.7184, IoU.chair: 0.5903, IoU.couch: 0.7081, IoU.potted plant: 0.2823, IoU.bed: 0.7120, IoU.dining table: 0.5546, IoU.toilet: 0.8512, IoU.tv: 0.7956, IoU.laptop: 0.8358, IoU.mouse: 0.6992, IoU.remote: 0.7082, IoU.keyboard: 0.8530, IoU.cell phone: 0.7546, IoU.microwave: 0.6861, IoU.oven: 0.5663, IoU.toaster: 0.0000, IoU.sink: 0.6424, IoU.refrigerator: 0.7954, IoU.book: 0.7626, IoU.clock: 0.7443, IoU.vase: 0.5720, IoU.scissors: 0.8446, IoU.teddy bear: 0.8448, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1573, IoU.banner: 0.3342, IoU.blanket: 0.0000, IoU.branch: 0.0000, IoU.bridge: 0.0456, IoU.building-other: 0.5657, IoU.bush: 0.3873, IoU.cabinet: 0.2095, IoU.cage: 0.0000, IoU.cardboard: 0.1728, IoU.carpet: 0.6280, IoU.ceiling-other: 0.6997, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2067, IoU.clouds: 0.5289, IoU.counter: 0.3409, IoU.cupboard: 0.5500, IoU.curtain: 0.6362, IoU.desk-stuff: 0.2899, IoU.dirt: 0.3802, IoU.door-stuff: 0.4551, IoU.fence: 0.4211, IoU.floor-marble: 0.0000, IoU.floor-other: 0.4068, IoU.floor-stone: 0.1154, IoU.floor-tile: 0.6276, IoU.floor-wood: 0.7295, IoU.flower: 0.1575, IoU.fog: 0.0000, IoU.food-other: 0.2751, IoU.fruit: 0.4837, IoU.furniture-other: 0.1828, IoU.grass: 0.7482, IoU.gravel: 0.2891, IoU.ground-other: 0.0714, IoU.hill: 0.2578, IoU.house: 0.3296, IoU.leaves: 0.2038, IoU.light: 0.3777, IoU.mat: 0.1027, IoU.metal: 0.2228, IoU.mirror-stuff: 0.2898, IoU.moss: 0.0000, IoU.mountain: 0.2671, IoU.mud: 0.0000, IoU.napkin: 0.5851, IoU.net: 0.2330, IoU.paper: 0.3565, IoU.pavement: 0.4343, IoU.pillow: 0.0000, IoU.plant-other: 0.3307, IoU.plastic: 0.0479, IoU.platform: 0.3327, IoU.playingfield: 0.7197, IoU.railing: 0.1955, IoU.railroad: 0.6128, IoU.river: 0.0929, IoU.road: 0.7291, IoU.rock: 0.4736, IoU.roof: 0.3377, IoU.rug: 0.4407, IoU.salad: 0.0000, IoU.sand: 0.6755, IoU.sea: 0.7148, IoU.shelf: 0.2214, IoU.sky-other: 0.5951, IoU.skyscraper: 0.1154, IoU.snow: 0.9166, IoU.solid-other: nan, IoU.stairs: 0.2351, IoU.stone: 0.0005, IoU.straw: 0.1637, IoU.structural-other: 0.1881, IoU.table: 0.1213, IoU.tent: 0.3967, IoU.textile-other: 0.2093, IoU.towel: 0.2997, IoU.tree: 0.7855, IoU.vegetable: 0.3213, IoU.wall-brick: 0.3767, IoU.wall-concrete: 0.2678, IoU.wall-other: 0.6157, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2755, IoU.wall-tile: 0.4674, IoU.wall-wood: 0.4160, IoU.water-other: 0.2119, IoU.waterdrops: nan, IoU.window-blind: 0.2750, IoU.window-other: 0.4225, IoU.wood: 0.1644, Acc.person: 0.9342, Acc.bicycle: 0.8944, Acc.car: 0.6666, Acc.motorcycle: 0.8854, Acc.airplane: 0.9397, Acc.bus: 0.9062, Acc.train: 0.9502, Acc.truck: 0.8725, Acc.boat: 0.8721, Acc.traffic light: 0.9183, Acc.fire hydrant: 0.9713, Acc.stop sign: 0.9629, Acc.parking meter: 0.9108, Acc.bench: 0.6840, Acc.bird: 0.7924, Acc.cat: 0.9448, Acc.dog: 0.9478, Acc.horse: 0.9577, Acc.sheep: 0.9049, Acc.cow: 0.9807, Acc.elephant: 0.9574, Acc.bear: 0.9406, Acc.zebra: 0.9493, Acc.giraffe: 0.9225, Acc.backpack: 0.4716, Acc.umbrella: 0.8754, Acc.handbag: 0.4919, Acc.tie: 0.0000, Acc.suitcase: 0.9221, Acc.frisbee: 0.9714, Acc.skis: 0.4345, Acc.snowboard: 0.7551, Acc.sports ball: 0.9476, Acc.kite: 0.8087, Acc.baseball bat: 0.7248, Acc.baseball glove: 0.0673, Acc.skateboard: 0.8247, Acc.surfboard: 0.9438, Acc.tennis racket: 0.8078, Acc.bottle: 0.7947, Acc.wine glass: 0.9527, Acc.cup: 0.8141, Acc.fork: 0.5340, Acc.knife: 0.8026, Acc.spoon: 0.5841, Acc.bowl: 0.7362, Acc.banana: 0.7820, Acc.apple: 0.8673, Acc.sandwich: 0.9788, Acc.orange: 0.4583, Acc.broccoli: 0.9741, Acc.carrot: 0.7738, Acc.hot dog: 0.9549, Acc.pizza: 0.9550, Acc.donut: 0.8646, Acc.cake: 0.8258, Acc.chair: 0.7898, Acc.couch: 0.8697, Acc.potted plant: 0.3732, Acc.bed: 0.8528, Acc.dining table: 0.7484, Acc.toilet: 0.9571, Acc.tv: 0.9390, Acc.laptop: 0.9398, Acc.mouse: 0.7505, Acc.remote: 0.8978, Acc.keyboard: 0.9749, Acc.cell phone: 0.8949, Acc.microwave: 0.7269, Acc.oven: 0.8256, Acc.toaster: 0.0000, Acc.sink: 0.7157, Acc.refrigerator: 0.9445, Acc.book: 0.9070, Acc.clock: 0.7970, Acc.vase: 0.9437, Acc.scissors: 0.9328, Acc.teddy bear: 0.9104, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2357, Acc.banner: 0.6419, Acc.blanket: 0.0000, Acc.branch: 0.0000, Acc.bridge: 0.0743, Acc.building-other: 0.7865, Acc.bush: 0.5316, Acc.cabinet: 0.3253, Acc.cage: 0.0000, Acc.cardboard: 0.2903, Acc.carpet: 0.7500, Acc.ceiling-other: 0.8406, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.2905, Acc.clouds: 0.7180, Acc.counter: 0.4070, Acc.cupboard: 0.7161, Acc.curtain: 0.8519, Acc.desk-stuff: 0.3303, Acc.dirt: 0.6860, Acc.door-stuff: 0.6122, Acc.fence: 0.7692, Acc.floor-marble: 0.0000, Acc.floor-other: 0.6086, Acc.floor-stone: 0.1156, Acc.floor-tile: 0.7484, Acc.floor-wood: 0.8368, Acc.flower: 0.4446, Acc.fog: 0.0000, Acc.food-other: 0.6214, Acc.fruit: 0.5157, Acc.furniture-other: 0.2990, Acc.grass: 0.8410, Acc.gravel: 0.3126, Acc.ground-other: 0.1273, Acc.hill: 0.3924, Acc.house: 0.4287, Acc.leaves: 0.2187, Acc.light: 0.5272, Acc.mat: 0.1461, Acc.metal: 0.3128, Acc.mirror-stuff: 0.4990, Acc.moss: 0.0000, Acc.mountain: 0.4185, Acc.mud: 0.0000, Acc.napkin: 0.5900, Acc.net: 0.2444, Acc.paper: 0.4835, Acc.pavement: 0.6078, Acc.pillow: 0.0000, Acc.plant-other: 0.5059, Acc.plastic: 0.0523, Acc.platform: 0.5154, Acc.playingfield: 0.8292, Acc.railing: 0.3892, Acc.railroad: 0.8282, Acc.river: 0.0949, Acc.road: 0.8322, Acc.rock: 0.8064, Acc.roof: 0.6610, Acc.rug: 0.5289, Acc.salad: 0.0000, Acc.sand: 0.8653, Acc.sea: 0.9296, Acc.shelf: 0.3897, Acc.sky-other: 0.7298, Acc.skyscraper: 0.1412, Acc.snow: 0.9360, Acc.solid-other: nan, Acc.stairs: 0.3542, Acc.stone: 0.0007, Acc.straw: 0.3351, Acc.structural-other: 0.3201, Acc.table: 0.1851, Acc.tent: 0.4934, Acc.textile-other: 0.3433, Acc.towel: 0.4535, Acc.tree: 0.8689, Acc.vegetable: 0.5009, Acc.wall-brick: 0.5338, Acc.wall-concrete: 0.3124, Acc.wall-other: 0.7886, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2986, Acc.wall-tile: 0.7733, Acc.wall-wood: 0.6382, Acc.water-other: 0.3063, Acc.waterdrops: nan, Acc.window-blind: 0.6721, Acc.window-other: 0.5582, Acc.wood: 0.2739 2022-06-21 16:52:28,620 - mmseg - INFO - Iter [20050/40000] lr: 7.681e-06, eta: 3:03:49, time: 0.980, data_time: 0.509, memory: 40943, decode.loss_cls: 0.9713, decode.loss_mask: 0.7976, decode.loss_dice: 1.1297, decode.d0.loss_cls: 3.2600, decode.d0.loss_mask: 0.8247, decode.d0.loss_dice: 1.3018, decode.d1.loss_cls: 1.2980, decode.d1.loss_mask: 0.8185, decode.d1.loss_dice: 1.1938, decode.d2.loss_cls: 1.1058, decode.d2.loss_mask: 0.8086, decode.d2.loss_dice: 1.1535, decode.d3.loss_cls: 1.0457, decode.d3.loss_mask: 0.8030, decode.d3.loss_dice: 1.1379, decode.d4.loss_cls: 1.0218, decode.d4.loss_mask: 0.8008, decode.d4.loss_dice: 1.1300, decode.d5.loss_cls: 1.0074, decode.d5.loss_mask: 0.7986, decode.d5.loss_dice: 1.1394, decode.d6.loss_cls: 0.9866, decode.d6.loss_mask: 0.7977, decode.d6.loss_dice: 1.1303, decode.d7.loss_cls: 0.9775, decode.d7.loss_mask: 0.7983, decode.d7.loss_dice: 1.1272, decode.d8.loss_cls: 0.9737, decode.d8.loss_mask: 0.7958, decode.d8.loss_dice: 1.1320, loss: 32.2667 2022-06-21 16:52:53,144 - mmseg - INFO - Iter [20100/40000] lr: 7.662e-06, eta: 3:03:18, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0201, decode.loss_mask: 0.8013, decode.loss_dice: 1.1945, decode.d0.loss_cls: 3.2835, decode.d0.loss_mask: 0.8403, decode.d0.loss_dice: 1.3848, decode.d1.loss_cls: 1.3563, decode.d1.loss_mask: 0.8348, decode.d1.loss_dice: 1.2697, decode.d2.loss_cls: 1.1673, decode.d2.loss_mask: 0.8096, decode.d2.loss_dice: 1.2233, decode.d3.loss_cls: 1.0911, decode.d3.loss_mask: 0.8067, decode.d3.loss_dice: 1.2105, decode.d4.loss_cls: 1.0696, decode.d4.loss_mask: 0.8054, decode.d4.loss_dice: 1.2065, decode.d5.loss_cls: 1.0449, decode.d5.loss_mask: 0.8029, decode.d5.loss_dice: 1.2006, decode.d6.loss_cls: 1.0235, decode.d6.loss_mask: 0.8035, decode.d6.loss_dice: 1.1983, decode.d7.loss_cls: 1.0238, decode.d7.loss_mask: 0.8076, decode.d7.loss_dice: 1.2012, decode.d8.loss_cls: 1.0145, decode.d8.loss_mask: 0.8045, decode.d8.loss_dice: 1.1945, loss: 33.4952 2022-06-21 16:53:17,660 - mmseg - INFO - Iter [20150/40000] lr: 7.643e-06, eta: 3:02:47, time: 0.491, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9824, decode.loss_mask: 0.8257, decode.loss_dice: 1.1287, decode.d0.loss_cls: 3.2131, decode.d0.loss_mask: 0.8662, decode.d0.loss_dice: 1.3148, decode.d1.loss_cls: 1.3000, decode.d1.loss_mask: 0.8515, decode.d1.loss_dice: 1.2129, decode.d2.loss_cls: 1.1269, decode.d2.loss_mask: 0.8344, decode.d2.loss_dice: 1.1593, decode.d3.loss_cls: 1.0541, decode.d3.loss_mask: 0.8297, decode.d3.loss_dice: 1.1411, decode.d4.loss_cls: 1.0311, decode.d4.loss_mask: 0.8289, decode.d4.loss_dice: 1.1442, decode.d5.loss_cls: 1.0151, decode.d5.loss_mask: 0.8277, decode.d5.loss_dice: 1.1360, decode.d6.loss_cls: 0.9961, decode.d6.loss_mask: 0.8280, decode.d6.loss_dice: 1.1263, decode.d7.loss_cls: 0.9860, decode.d7.loss_mask: 0.8271, decode.d7.loss_dice: 1.1342, decode.d8.loss_cls: 0.9830, decode.d8.loss_mask: 0.8328, decode.d8.loss_dice: 1.1391, loss: 32.6763 2022-06-21 16:53:42,469 - mmseg - INFO - Iter [20200/40000] lr: 7.624e-06, eta: 3:02:17, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9814, decode.loss_mask: 0.8173, decode.loss_dice: 1.1524, decode.d0.loss_cls: 3.2773, decode.d0.loss_mask: 0.8511, decode.d0.loss_dice: 1.3359, decode.d1.loss_cls: 1.3311, decode.d1.loss_mask: 0.8455, decode.d1.loss_dice: 1.2242, decode.d2.loss_cls: 1.1445, decode.d2.loss_mask: 0.8234, decode.d2.loss_dice: 1.1712, decode.d3.loss_cls: 1.0530, decode.d3.loss_mask: 0.8191, decode.d3.loss_dice: 1.1509, decode.d4.loss_cls: 1.0258, decode.d4.loss_mask: 0.8192, decode.d4.loss_dice: 1.1566, decode.d5.loss_cls: 1.0075, decode.d5.loss_mask: 0.8203, decode.d5.loss_dice: 1.1545, decode.d6.loss_cls: 0.9961, decode.d6.loss_mask: 0.8157, decode.d6.loss_dice: 1.1541, decode.d7.loss_cls: 0.9834, decode.d7.loss_mask: 0.8159, decode.d7.loss_dice: 1.1584, decode.d8.loss_cls: 0.9747, decode.d8.loss_mask: 0.8226, decode.d8.loss_dice: 1.1558, loss: 32.8386 2022-06-21 16:54:08,899 - mmseg - INFO - Iter [20250/40000] lr: 7.604e-06, eta: 3:01:48, time: 0.529, data_time: 0.059, memory: 40943, decode.loss_cls: 0.9891, decode.loss_mask: 0.8237, decode.loss_dice: 1.1439, decode.d0.loss_cls: 3.2657, decode.d0.loss_mask: 0.8471, decode.d0.loss_dice: 1.3144, decode.d1.loss_cls: 1.3238, decode.d1.loss_mask: 0.8345, decode.d1.loss_dice: 1.2035, decode.d2.loss_cls: 1.1469, decode.d2.loss_mask: 0.8243, decode.d2.loss_dice: 1.1623, decode.d3.loss_cls: 1.0654, decode.d3.loss_mask: 0.8250, decode.d3.loss_dice: 1.1500, decode.d4.loss_cls: 1.0386, decode.d4.loss_mask: 0.8241, decode.d4.loss_dice: 1.1525, decode.d5.loss_cls: 1.0253, decode.d5.loss_mask: 0.8216, decode.d5.loss_dice: 1.1431, decode.d6.loss_cls: 1.0114, decode.d6.loss_mask: 0.8196, decode.d6.loss_dice: 1.1382, decode.d7.loss_cls: 1.0025, decode.d7.loss_mask: 0.8212, decode.d7.loss_dice: 1.1364, decode.d8.loss_cls: 0.9899, decode.d8.loss_mask: 0.8210, decode.d8.loss_dice: 1.1425, loss: 32.8075 2022-06-21 16:54:33,611 - mmseg - INFO - Iter [20300/40000] lr: 7.585e-06, eta: 3:01:18, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9462, decode.loss_mask: 0.7910, decode.loss_dice: 1.1494, decode.d0.loss_cls: 3.2663, decode.d0.loss_mask: 0.8182, decode.d0.loss_dice: 1.3225, decode.d1.loss_cls: 1.2861, decode.d1.loss_mask: 0.8134, decode.d1.loss_dice: 1.2156, decode.d2.loss_cls: 1.0844, decode.d2.loss_mask: 0.7961, decode.d2.loss_dice: 1.1617, decode.d3.loss_cls: 1.0107, decode.d3.loss_mask: 0.7960, decode.d3.loss_dice: 1.1549, decode.d4.loss_cls: 0.9869, decode.d4.loss_mask: 0.7956, decode.d4.loss_dice: 1.1503, decode.d5.loss_cls: 0.9760, decode.d5.loss_mask: 0.7969, decode.d5.loss_dice: 1.1521, decode.d6.loss_cls: 0.9553, decode.d6.loss_mask: 0.7913, decode.d6.loss_dice: 1.1484, decode.d7.loss_cls: 0.9546, decode.d7.loss_mask: 0.7932, decode.d7.loss_dice: 1.1490, decode.d8.loss_cls: 0.9506, decode.d8.loss_mask: 0.7947, decode.d8.loss_dice: 1.1503, loss: 32.1577 2022-06-21 16:54:58,090 - mmseg - INFO - Iter [20350/40000] lr: 7.566e-06, eta: 3:00:47, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9817, decode.loss_mask: 0.8357, decode.loss_dice: 1.1583, decode.d0.loss_cls: 3.2477, decode.d0.loss_mask: 0.8653, decode.d0.loss_dice: 1.3312, decode.d1.loss_cls: 1.3146, decode.d1.loss_mask: 0.8515, decode.d1.loss_dice: 1.2168, decode.d2.loss_cls: 1.1207, decode.d2.loss_mask: 0.8399, decode.d2.loss_dice: 1.1795, decode.d3.loss_cls: 1.0407, decode.d3.loss_mask: 0.8385, decode.d3.loss_dice: 1.1693, decode.d4.loss_cls: 1.0226, decode.d4.loss_mask: 0.8360, decode.d4.loss_dice: 1.1716, decode.d5.loss_cls: 1.0092, decode.d5.loss_mask: 0.8358, decode.d5.loss_dice: 1.1705, decode.d6.loss_cls: 0.9922, decode.d6.loss_mask: 0.8336, decode.d6.loss_dice: 1.1603, decode.d7.loss_cls: 0.9832, decode.d7.loss_mask: 0.8359, decode.d7.loss_dice: 1.1580, decode.d8.loss_cls: 0.9800, decode.d8.loss_mask: 0.8355, decode.d8.loss_dice: 1.1627, loss: 32.9782 2022-06-21 16:55:22,204 - mmseg - INFO - Iter [20400/40000] lr: 7.547e-06, eta: 3:00:16, time: 0.482, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9775, decode.loss_mask: 0.7932, decode.loss_dice: 1.1314, decode.d0.loss_cls: 3.2618, decode.d0.loss_mask: 0.8226, decode.d0.loss_dice: 1.3047, decode.d1.loss_cls: 1.3256, decode.d1.loss_mask: 0.8175, decode.d1.loss_dice: 1.1996, decode.d2.loss_cls: 1.1331, decode.d2.loss_mask: 0.7977, decode.d2.loss_dice: 1.1508, decode.d3.loss_cls: 1.0674, decode.d3.loss_mask: 0.7957, decode.d3.loss_dice: 1.1376, decode.d4.loss_cls: 1.0278, decode.d4.loss_mask: 0.7912, decode.d4.loss_dice: 1.1410, decode.d5.loss_cls: 1.0046, decode.d5.loss_mask: 0.7945, decode.d5.loss_dice: 1.1438, decode.d6.loss_cls: 0.9902, decode.d6.loss_mask: 0.7938, decode.d6.loss_dice: 1.1387, decode.d7.loss_cls: 0.9849, decode.d7.loss_mask: 0.7916, decode.d7.loss_dice: 1.1360, decode.d8.loss_cls: 0.9754, decode.d8.loss_mask: 0.7909, decode.d8.loss_dice: 1.1291, loss: 32.3497 2022-06-21 16:55:46,565 - mmseg - INFO - Iter [20450/40000] lr: 7.527e-06, eta: 2:59:45, time: 0.486, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9713, decode.loss_mask: 0.8363, decode.loss_dice: 1.1517, decode.d0.loss_cls: 3.1654, decode.d0.loss_mask: 0.8697, decode.d0.loss_dice: 1.3213, decode.d1.loss_cls: 1.2879, decode.d1.loss_mask: 0.8591, decode.d1.loss_dice: 1.2227, decode.d2.loss_cls: 1.1165, decode.d2.loss_mask: 0.8381, decode.d2.loss_dice: 1.1718, decode.d3.loss_cls: 1.0464, decode.d3.loss_mask: 0.8405, decode.d3.loss_dice: 1.1629, decode.d4.loss_cls: 1.0179, decode.d4.loss_mask: 0.8385, decode.d4.loss_dice: 1.1647, decode.d5.loss_cls: 0.9993, decode.d5.loss_mask: 0.8358, decode.d5.loss_dice: 1.1552, decode.d6.loss_cls: 0.9862, decode.d6.loss_mask: 0.8346, decode.d6.loss_dice: 1.1497, decode.d7.loss_cls: 0.9734, decode.d7.loss_mask: 0.8345, decode.d7.loss_dice: 1.1552, decode.d8.loss_cls: 0.9670, decode.d8.loss_mask: 0.8402, decode.d8.loss_dice: 1.1562, loss: 32.7699 2022-06-21 16:56:11,749 - mmseg - INFO - Iter [20500/40000] lr: 7.508e-06, eta: 2:59:16, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9298, decode.loss_mask: 0.8558, decode.loss_dice: 1.1564, decode.d0.loss_cls: 3.1691, decode.d0.loss_mask: 0.8867, decode.d0.loss_dice: 1.3335, decode.d1.loss_cls: 1.2499, decode.d1.loss_mask: 0.8862, decode.d1.loss_dice: 1.2348, decode.d2.loss_cls: 1.0793, decode.d2.loss_mask: 0.8600, decode.d2.loss_dice: 1.1850, decode.d3.loss_cls: 0.9995, decode.d3.loss_mask: 0.8562, decode.d3.loss_dice: 1.1623, decode.d4.loss_cls: 0.9686, decode.d4.loss_mask: 0.8559, decode.d4.loss_dice: 1.1654, decode.d5.loss_cls: 0.9470, decode.d5.loss_mask: 0.8576, decode.d5.loss_dice: 1.1668, decode.d6.loss_cls: 0.9317, decode.d6.loss_mask: 0.8599, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.9226, decode.d7.loss_mask: 0.8591, decode.d7.loss_dice: 1.1590, decode.d8.loss_cls: 0.9267, decode.d8.loss_mask: 0.8609, decode.d8.loss_dice: 1.1586, loss: 32.6400 2022-06-21 16:56:36,572 - mmseg - INFO - Iter [20550/40000] lr: 7.489e-06, eta: 2:58:45, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 1.0125, decode.loss_mask: 0.8215, decode.loss_dice: 1.1232, decode.d0.loss_cls: 3.2464, decode.d0.loss_mask: 0.8547, decode.d0.loss_dice: 1.3024, decode.d1.loss_cls: 1.3487, decode.d1.loss_mask: 0.8358, decode.d1.loss_dice: 1.1941, decode.d2.loss_cls: 1.1479, decode.d2.loss_mask: 0.8261, decode.d2.loss_dice: 1.1395, decode.d3.loss_cls: 1.0685, decode.d3.loss_mask: 0.8240, decode.d3.loss_dice: 1.1238, decode.d4.loss_cls: 1.0511, decode.d4.loss_mask: 0.8253, decode.d4.loss_dice: 1.1248, decode.d5.loss_cls: 1.0314, decode.d5.loss_mask: 0.8183, decode.d5.loss_dice: 1.1221, decode.d6.loss_cls: 1.0124, decode.d6.loss_mask: 0.8230, decode.d6.loss_dice: 1.1209, decode.d7.loss_cls: 1.0175, decode.d7.loss_mask: 0.8183, decode.d7.loss_dice: 1.1282, decode.d8.loss_cls: 1.0218, decode.d8.loss_mask: 0.8200, decode.d8.loss_dice: 1.1250, loss: 32.7292 2022-06-21 16:57:01,648 - mmseg - INFO - Iter [20600/40000] lr: 7.470e-06, eta: 2:58:15, time: 0.501, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9958, decode.loss_mask: 0.7999, decode.loss_dice: 1.1267, decode.d0.loss_cls: 3.2327, decode.d0.loss_mask: 0.8319, decode.d0.loss_dice: 1.3148, decode.d1.loss_cls: 1.3068, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.2000, decode.d2.loss_cls: 1.1335, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.1495, decode.d3.loss_cls: 1.0587, decode.d3.loss_mask: 0.7987, decode.d3.loss_dice: 1.1389, decode.d4.loss_cls: 1.0368, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.1397, decode.d5.loss_cls: 1.0172, decode.d5.loss_mask: 0.7985, decode.d5.loss_dice: 1.1345, decode.d6.loss_cls: 0.9993, decode.d6.loss_mask: 0.8005, decode.d6.loss_dice: 1.1318, decode.d7.loss_cls: 0.9909, decode.d7.loss_mask: 0.8063, decode.d7.loss_dice: 1.1395, decode.d8.loss_cls: 0.9879, decode.d8.loss_mask: 0.8014, decode.d8.loss_dice: 1.1303, loss: 32.4182 2022-06-21 16:57:26,531 - mmseg - INFO - Iter [20650/40000] lr: 7.450e-06, eta: 2:57:45, time: 0.497, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9816, decode.loss_mask: 0.7894, decode.loss_dice: 1.1072, decode.d0.loss_cls: 3.2589, decode.d0.loss_mask: 0.8329, decode.d0.loss_dice: 1.3085, decode.d1.loss_cls: 1.3036, decode.d1.loss_mask: 0.8145, decode.d1.loss_dice: 1.1893, decode.d2.loss_cls: 1.1118, decode.d2.loss_mask: 0.8000, decode.d2.loss_dice: 1.1421, decode.d3.loss_cls: 1.0316, decode.d3.loss_mask: 0.7960, decode.d3.loss_dice: 1.1205, decode.d4.loss_cls: 1.0139, decode.d4.loss_mask: 0.7991, decode.d4.loss_dice: 1.1278, decode.d5.loss_cls: 1.0030, decode.d5.loss_mask: 0.7964, decode.d5.loss_dice: 1.1239, decode.d6.loss_cls: 0.9935, decode.d6.loss_mask: 0.7954, decode.d6.loss_dice: 1.1116, decode.d7.loss_cls: 0.9806, decode.d7.loss_mask: 0.7964, decode.d7.loss_dice: 1.1128, decode.d8.loss_cls: 0.9813, decode.d8.loss_mask: 0.7919, decode.d8.loss_dice: 1.1095, loss: 32.1249 2022-06-21 16:57:51,126 - mmseg - INFO - Iter [20700/40000] lr: 7.431e-06, eta: 2:57:15, time: 0.492, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9833, decode.loss_mask: 0.8224, decode.loss_dice: 1.1505, decode.d0.loss_cls: 3.1739, decode.d0.loss_mask: 0.8644, decode.d0.loss_dice: 1.3381, decode.d1.loss_cls: 1.3104, decode.d1.loss_mask: 0.8521, decode.d1.loss_dice: 1.2149, decode.d2.loss_cls: 1.1280, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.1654, decode.d3.loss_cls: 1.0460, decode.d3.loss_mask: 0.8265, decode.d3.loss_dice: 1.1534, decode.d4.loss_cls: 1.0264, decode.d4.loss_mask: 0.8260, decode.d4.loss_dice: 1.1574, decode.d5.loss_cls: 1.0148, decode.d5.loss_mask: 0.8201, decode.d5.loss_dice: 1.1513, decode.d6.loss_cls: 1.0078, decode.d6.loss_mask: 0.8227, decode.d6.loss_dice: 1.1469, decode.d7.loss_cls: 0.9846, decode.d7.loss_mask: 0.8250, decode.d7.loss_dice: 1.1502, decode.d8.loss_cls: 0.9888, decode.d8.loss_mask: 0.8177, decode.d8.loss_dice: 1.1466, loss: 32.7473 2022-06-21 16:58:16,118 - mmseg - INFO - Iter [20750/40000] lr: 7.412e-06, eta: 2:56:45, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9503, decode.loss_mask: 0.8185, decode.loss_dice: 1.1552, decode.d0.loss_cls: 3.2132, decode.d0.loss_mask: 0.8648, decode.d0.loss_dice: 1.3537, decode.d1.loss_cls: 1.2731, decode.d1.loss_mask: 0.8567, decode.d1.loss_dice: 1.2303, decode.d2.loss_cls: 1.0805, decode.d2.loss_mask: 0.8278, decode.d2.loss_dice: 1.1790, decode.d3.loss_cls: 1.0127, decode.d3.loss_mask: 0.8233, decode.d3.loss_dice: 1.1600, decode.d4.loss_cls: 0.9844, decode.d4.loss_mask: 0.8224, decode.d4.loss_dice: 1.1643, decode.d5.loss_cls: 0.9704, decode.d5.loss_mask: 0.8221, decode.d5.loss_dice: 1.1601, decode.d6.loss_cls: 0.9512, decode.d6.loss_mask: 0.8222, decode.d6.loss_dice: 1.1511, decode.d7.loss_cls: 0.9566, decode.d7.loss_mask: 0.8196, decode.d7.loss_dice: 1.1548, decode.d8.loss_cls: 0.9514, decode.d8.loss_mask: 0.8184, decode.d8.loss_dice: 1.1561, loss: 32.5043 2022-06-21 16:58:43,429 - mmseg - INFO - Iter [20800/40000] lr: 7.393e-06, eta: 2:56:17, time: 0.546, data_time: 0.057, memory: 40943, decode.loss_cls: 0.9827, decode.loss_mask: 0.8142, decode.loss_dice: 1.1570, decode.d0.loss_cls: 3.2674, decode.d0.loss_mask: 0.8498, decode.d0.loss_dice: 1.3404, decode.d1.loss_cls: 1.3359, decode.d1.loss_mask: 0.8445, decode.d1.loss_dice: 1.2255, decode.d2.loss_cls: 1.1407, decode.d2.loss_mask: 0.8233, decode.d2.loss_dice: 1.1797, decode.d3.loss_cls: 1.0619, decode.d3.loss_mask: 0.8202, decode.d3.loss_dice: 1.1639, decode.d4.loss_cls: 1.0418, decode.d4.loss_mask: 0.8178, decode.d4.loss_dice: 1.1693, decode.d5.loss_cls: 1.0159, decode.d5.loss_mask: 0.8177, decode.d5.loss_dice: 1.1616, decode.d6.loss_cls: 0.9944, decode.d6.loss_mask: 0.8156, decode.d6.loss_dice: 1.1607, decode.d7.loss_cls: 0.9868, decode.d7.loss_mask: 0.8179, decode.d7.loss_dice: 1.1623, decode.d8.loss_cls: 0.9839, decode.d8.loss_mask: 0.8125, decode.d8.loss_dice: 1.1576, loss: 32.9229 2022-06-21 16:59:09,053 - mmseg - INFO - Iter [20850/40000] lr: 7.373e-06, eta: 2:55:48, time: 0.512, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9363, decode.loss_mask: 0.8094, decode.loss_dice: 1.1434, decode.d0.loss_cls: 3.2134, decode.d0.loss_mask: 0.8496, decode.d0.loss_dice: 1.3200, decode.d1.loss_cls: 1.2453, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.2020, decode.d2.loss_cls: 1.0706, decode.d2.loss_mask: 0.8197, decode.d2.loss_dice: 1.1645, decode.d3.loss_cls: 1.0066, decode.d3.loss_mask: 0.8149, decode.d3.loss_dice: 1.1502, decode.d4.loss_cls: 0.9797, decode.d4.loss_mask: 0.8107, decode.d4.loss_dice: 1.1511, decode.d5.loss_cls: 0.9708, decode.d5.loss_mask: 0.8106, decode.d5.loss_dice: 1.1512, decode.d6.loss_cls: 0.9577, decode.d6.loss_mask: 0.8098, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.9425, decode.d7.loss_mask: 0.8101, decode.d7.loss_dice: 1.1486, decode.d8.loss_cls: 0.9426, decode.d8.loss_mask: 0.8079, decode.d8.loss_dice: 1.1447, loss: 32.1632 2022-06-21 16:59:33,877 - mmseg - INFO - Iter [20900/40000] lr: 7.354e-06, eta: 2:55:18, time: 0.496, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9683, decode.loss_mask: 0.8057, decode.loss_dice: 1.1703, decode.d0.loss_cls: 3.2180, decode.d0.loss_mask: 0.8264, decode.d0.loss_dice: 1.3377, decode.d1.loss_cls: 1.2974, decode.d1.loss_mask: 0.8285, decode.d1.loss_dice: 1.2285, decode.d2.loss_cls: 1.1165, decode.d2.loss_mask: 0.8114, decode.d2.loss_dice: 1.1831, decode.d3.loss_cls: 1.0545, decode.d3.loss_mask: 0.8064, decode.d3.loss_dice: 1.1765, decode.d4.loss_cls: 1.0155, decode.d4.loss_mask: 0.8073, decode.d4.loss_dice: 1.1790, decode.d5.loss_cls: 0.9977, decode.d5.loss_mask: 0.8112, decode.d5.loss_dice: 1.1729, decode.d6.loss_cls: 0.9790, decode.d6.loss_mask: 0.8067, decode.d6.loss_dice: 1.1621, decode.d7.loss_cls: 0.9748, decode.d7.loss_mask: 0.8081, decode.d7.loss_dice: 1.1676, decode.d8.loss_cls: 0.9644, decode.d8.loss_mask: 0.8056, decode.d8.loss_dice: 1.1693, loss: 32.6505 2022-06-21 16:59:59,650 - mmseg - INFO - Iter [20950/40000] lr: 7.335e-06, eta: 2:54:49, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0163, decode.loss_mask: 0.7887, decode.loss_dice: 1.1693, decode.d0.loss_cls: 3.2768, decode.d0.loss_mask: 0.8327, decode.d0.loss_dice: 1.3560, decode.d1.loss_cls: 1.3567, decode.d1.loss_mask: 0.8258, decode.d1.loss_dice: 1.2428, decode.d2.loss_cls: 1.1564, decode.d2.loss_mask: 0.8026, decode.d2.loss_dice: 1.1950, decode.d3.loss_cls: 1.0894, decode.d3.loss_mask: 0.7967, decode.d3.loss_dice: 1.1718, decode.d4.loss_cls: 1.0622, decode.d4.loss_mask: 0.7970, decode.d4.loss_dice: 1.1726, decode.d5.loss_cls: 1.0426, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.1694, decode.d6.loss_cls: 1.0311, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.1635, decode.d7.loss_cls: 1.0143, decode.d7.loss_mask: 0.7930, decode.d7.loss_dice: 1.1724, decode.d8.loss_cls: 1.0129, decode.d8.loss_mask: 0.7935, decode.d8.loss_dice: 1.1667, loss: 33.0581 2022-06-21 17:00:23,884 - mmseg - INFO - Saving checkpoint at 21000 iterations 2022-06-21 17:00:27,652 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:00:27,653 - mmseg - INFO - Iter [21000/40000] lr: 7.316e-06, eta: 2:54:22, time: 0.561, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9821, decode.loss_mask: 0.8145, decode.loss_dice: 1.1652, decode.d0.loss_cls: 3.2292, decode.d0.loss_mask: 0.8550, decode.d0.loss_dice: 1.3616, decode.d1.loss_cls: 1.3078, decode.d1.loss_mask: 0.8457, decode.d1.loss_dice: 1.2498, decode.d2.loss_cls: 1.1142, decode.d2.loss_mask: 0.8248, decode.d2.loss_dice: 1.1968, decode.d3.loss_cls: 1.0552, decode.d3.loss_mask: 0.8155, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 1.0250, decode.d4.loss_mask: 0.8126, decode.d4.loss_dice: 1.1798, decode.d5.loss_cls: 1.0076, decode.d5.loss_mask: 0.8148, decode.d5.loss_dice: 1.1745, decode.d6.loss_cls: 0.9872, decode.d6.loss_mask: 0.8177, decode.d6.loss_dice: 1.1692, decode.d7.loss_cls: 0.9802, decode.d7.loss_mask: 0.8138, decode.d7.loss_dice: 1.1688, decode.d8.loss_cls: 0.9769, decode.d8.loss_mask: 0.8171, decode.d8.loss_dice: 1.1681, loss: 32.9054 2022-06-21 17:00:52,893 - mmseg - INFO - Iter [21050/40000] lr: 7.296e-06, eta: 2:53:52, time: 0.505, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9627, decode.loss_mask: 0.7932, decode.loss_dice: 1.1071, decode.d0.loss_cls: 3.2648, decode.d0.loss_mask: 0.8384, decode.d0.loss_dice: 1.3093, decode.d1.loss_cls: 1.2886, decode.d1.loss_mask: 0.8177, decode.d1.loss_dice: 1.1851, decode.d2.loss_cls: 1.1048, decode.d2.loss_mask: 0.8017, decode.d2.loss_dice: 1.1290, decode.d3.loss_cls: 1.0360, decode.d3.loss_mask: 0.8022, decode.d3.loss_dice: 1.1192, decode.d4.loss_cls: 1.0037, decode.d4.loss_mask: 0.8055, decode.d4.loss_dice: 1.1183, decode.d5.loss_cls: 0.9866, decode.d5.loss_mask: 0.8021, decode.d5.loss_dice: 1.1164, decode.d6.loss_cls: 0.9796, decode.d6.loss_mask: 0.7965, decode.d6.loss_dice: 1.1088, decode.d7.loss_cls: 0.9714, decode.d7.loss_mask: 0.7958, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.9624, decode.d8.loss_mask: 0.7943, decode.d8.loss_dice: 1.1113, loss: 32.0268 2022-06-21 17:01:17,809 - mmseg - INFO - Iter [21100/40000] lr: 7.277e-06, eta: 2:53:22, time: 0.498, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9553, decode.loss_mask: 0.8102, decode.loss_dice: 1.1273, decode.d0.loss_cls: 3.1900, decode.d0.loss_mask: 0.8395, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 1.2858, decode.d1.loss_mask: 0.8305, decode.d1.loss_dice: 1.2022, decode.d2.loss_cls: 1.0949, decode.d2.loss_mask: 0.8141, decode.d2.loss_dice: 1.1480, decode.d3.loss_cls: 1.0348, decode.d3.loss_mask: 0.8146, decode.d3.loss_dice: 1.1393, decode.d4.loss_cls: 1.0068, decode.d4.loss_mask: 0.8102, decode.d4.loss_dice: 1.1358, decode.d5.loss_cls: 0.9806, decode.d5.loss_mask: 0.8132, decode.d5.loss_dice: 1.1324, decode.d6.loss_cls: 0.9786, decode.d6.loss_mask: 0.8100, decode.d6.loss_dice: 1.1220, decode.d7.loss_cls: 0.9584, decode.d7.loss_mask: 0.8072, decode.d7.loss_dice: 1.1280, decode.d8.loss_cls: 0.9637, decode.d8.loss_mask: 0.8081, decode.d8.loss_dice: 1.1244, loss: 32.1687 2022-06-21 17:01:41,939 - mmseg - INFO - Iter [21150/40000] lr: 7.258e-06, eta: 2:52:52, time: 0.482, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9673, decode.loss_mask: 0.8239, decode.loss_dice: 1.1357, decode.d0.loss_cls: 3.2057, decode.d0.loss_mask: 0.8701, decode.d0.loss_dice: 1.3177, decode.d1.loss_cls: 1.2782, decode.d1.loss_mask: 0.8593, decode.d1.loss_dice: 1.2117, decode.d2.loss_cls: 1.0847, decode.d2.loss_mask: 0.8426, decode.d2.loss_dice: 1.1663, decode.d3.loss_cls: 1.0238, decode.d3.loss_mask: 0.8330, decode.d3.loss_dice: 1.1436, decode.d4.loss_cls: 0.9893, decode.d4.loss_mask: 0.8309, decode.d4.loss_dice: 1.1519, decode.d5.loss_cls: 0.9754, decode.d5.loss_mask: 0.8282, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.9667, decode.d6.loss_mask: 0.8307, decode.d6.loss_dice: 1.1334, decode.d7.loss_cls: 0.9412, decode.d7.loss_mask: 0.8319, decode.d7.loss_dice: 1.1459, decode.d8.loss_cls: 0.9504, decode.d8.loss_mask: 0.8288, decode.d8.loss_dice: 1.1387, loss: 32.4494 2022-06-21 17:02:05,859 - mmseg - INFO - Iter [21200/40000] lr: 7.239e-06, eta: 2:52:21, time: 0.480, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9655, decode.loss_mask: 0.8042, decode.loss_dice: 1.1534, decode.d0.loss_cls: 3.2542, decode.d0.loss_mask: 0.8468, decode.d0.loss_dice: 1.3405, decode.d1.loss_cls: 1.2892, decode.d1.loss_mask: 0.8340, decode.d1.loss_dice: 1.2314, decode.d2.loss_cls: 1.0998, decode.d2.loss_mask: 0.8185, decode.d2.loss_dice: 1.1867, decode.d3.loss_cls: 1.0383, decode.d3.loss_mask: 0.8215, decode.d3.loss_dice: 1.1707, decode.d4.loss_cls: 1.0059, decode.d4.loss_mask: 0.8166, decode.d4.loss_dice: 1.1677, decode.d5.loss_cls: 0.9803, decode.d5.loss_mask: 0.8159, decode.d5.loss_dice: 1.1661, decode.d6.loss_cls: 0.9698, decode.d6.loss_mask: 0.8121, decode.d6.loss_dice: 1.1568, decode.d7.loss_cls: 0.9664, decode.d7.loss_mask: 0.8103, decode.d7.loss_dice: 1.1559, decode.d8.loss_cls: 0.9671, decode.d8.loss_mask: 0.8049, decode.d8.loss_dice: 1.1569, loss: 32.6070 2022-06-21 17:02:29,977 - mmseg - INFO - Iter [21250/40000] lr: 7.219e-06, eta: 2:51:51, time: 0.482, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9431, decode.loss_mask: 0.8150, decode.loss_dice: 1.1111, decode.d0.loss_cls: 3.1656, decode.d0.loss_mask: 0.8556, decode.d0.loss_dice: 1.2917, decode.d1.loss_cls: 1.2812, decode.d1.loss_mask: 0.8427, decode.d1.loss_dice: 1.1777, decode.d2.loss_cls: 1.1009, decode.d2.loss_mask: 0.8221, decode.d2.loss_dice: 1.1311, decode.d3.loss_cls: 1.0223, decode.d3.loss_mask: 0.8160, decode.d3.loss_dice: 1.1170, decode.d4.loss_cls: 0.9905, decode.d4.loss_mask: 0.8184, decode.d4.loss_dice: 1.1273, decode.d5.loss_cls: 0.9786, decode.d5.loss_mask: 0.8133, decode.d5.loss_dice: 1.1222, decode.d6.loss_cls: 0.9687, decode.d6.loss_mask: 0.8150, decode.d6.loss_dice: 1.1120, decode.d7.loss_cls: 0.9615, decode.d7.loss_mask: 0.8146, decode.d7.loss_dice: 1.1062, decode.d8.loss_cls: 0.9516, decode.d8.loss_mask: 0.8123, decode.d8.loss_dice: 1.1105, loss: 31.9958 2022-06-21 17:02:54,373 - mmseg - INFO - Iter [21300/40000] lr: 7.200e-06, eta: 2:51:20, time: 0.488, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9739, decode.loss_mask: 0.8001, decode.loss_dice: 1.1587, decode.d0.loss_cls: 3.2502, decode.d0.loss_mask: 0.8332, decode.d0.loss_dice: 1.3469, decode.d1.loss_cls: 1.3256, decode.d1.loss_mask: 0.8233, decode.d1.loss_dice: 1.2210, decode.d2.loss_cls: 1.1285, decode.d2.loss_mask: 0.8092, decode.d2.loss_dice: 1.1764, decode.d3.loss_cls: 1.0521, decode.d3.loss_mask: 0.8051, decode.d3.loss_dice: 1.1540, decode.d4.loss_cls: 1.0163, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.1592, decode.d5.loss_cls: 0.9897, decode.d5.loss_mask: 0.8056, decode.d5.loss_dice: 1.1551, decode.d6.loss_cls: 0.9826, decode.d6.loss_mask: 0.8009, decode.d6.loss_dice: 1.1512, decode.d7.loss_cls: 0.9707, decode.d7.loss_mask: 0.7996, decode.d7.loss_dice: 1.1561, decode.d8.loss_cls: 0.9713, decode.d8.loss_mask: 0.8007, decode.d8.loss_dice: 1.1555, loss: 32.5733 2022-06-21 17:03:19,027 - mmseg - INFO - Iter [21350/40000] lr: 7.181e-06, eta: 2:50:50, time: 0.494, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9166, decode.loss_mask: 0.8245, decode.loss_dice: 1.1343, decode.d0.loss_cls: 3.1506, decode.d0.loss_mask: 0.8590, decode.d0.loss_dice: 1.2995, decode.d1.loss_cls: 1.2351, decode.d1.loss_mask: 0.8506, decode.d1.loss_dice: 1.2096, decode.d2.loss_cls: 1.0597, decode.d2.loss_mask: 0.8290, decode.d2.loss_dice: 1.1602, decode.d3.loss_cls: 0.9826, decode.d3.loss_mask: 0.8254, decode.d3.loss_dice: 1.1462, decode.d4.loss_cls: 0.9562, decode.d4.loss_mask: 0.8304, decode.d4.loss_dice: 1.1481, decode.d5.loss_cls: 0.9462, decode.d5.loss_mask: 0.8285, decode.d5.loss_dice: 1.1412, decode.d6.loss_cls: 0.9263, decode.d6.loss_mask: 0.8260, decode.d6.loss_dice: 1.1350, decode.d7.loss_cls: 0.9257, decode.d7.loss_mask: 0.8210, decode.d7.loss_dice: 1.1373, decode.d8.loss_cls: 0.9155, decode.d8.loss_mask: 0.8210, decode.d8.loss_dice: 1.1379, loss: 31.9791 2022-06-21 17:03:45,623 - mmseg - INFO - Iter [21400/40000] lr: 7.162e-06, eta: 2:50:22, time: 0.532, data_time: 0.057, memory: 40943, decode.loss_cls: 0.9034, decode.loss_mask: 0.7942, decode.loss_dice: 1.1147, decode.d0.loss_cls: 3.1375, decode.d0.loss_mask: 0.8405, decode.d0.loss_dice: 1.2841, decode.d1.loss_cls: 1.2436, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.1907, decode.d2.loss_cls: 1.0551, decode.d2.loss_mask: 0.8127, decode.d2.loss_dice: 1.1412, decode.d3.loss_cls: 0.9797, decode.d3.loss_mask: 0.8016, decode.d3.loss_dice: 1.1205, decode.d4.loss_cls: 0.9556, decode.d4.loss_mask: 0.7987, decode.d4.loss_dice: 1.1287, decode.d5.loss_cls: 0.9342, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.1224, decode.d6.loss_cls: 0.9171, decode.d6.loss_mask: 0.7953, decode.d6.loss_dice: 1.1193, decode.d7.loss_cls: 0.9127, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.1196, decode.d8.loss_cls: 0.9020, decode.d8.loss_mask: 0.7964, decode.d8.loss_dice: 1.1218, loss: 31.4679 2022-06-21 17:04:09,696 - mmseg - INFO - Iter [21450/40000] lr: 7.142e-06, eta: 2:49:52, time: 0.481, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8962, decode.loss_mask: 0.8037, decode.loss_dice: 1.1297, decode.d0.loss_cls: 3.2051, decode.d0.loss_mask: 0.8369, decode.d0.loss_dice: 1.3135, decode.d1.loss_cls: 1.2401, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.2128, decode.d2.loss_cls: 1.0479, decode.d2.loss_mask: 0.8113, decode.d2.loss_dice: 1.1561, decode.d3.loss_cls: 0.9767, decode.d3.loss_mask: 0.8066, decode.d3.loss_dice: 1.1433, decode.d4.loss_cls: 0.9656, decode.d4.loss_mask: 0.8004, decode.d4.loss_dice: 1.1422, decode.d5.loss_cls: 0.9320, decode.d5.loss_mask: 0.8001, decode.d5.loss_dice: 1.1374, decode.d6.loss_cls: 0.9193, decode.d6.loss_mask: 0.8001, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.9054, decode.d7.loss_mask: 0.8012, decode.d7.loss_dice: 1.1319, decode.d8.loss_cls: 0.9022, decode.d8.loss_mask: 0.8039, decode.d8.loss_dice: 1.1348, loss: 31.7164 2022-06-21 17:04:34,276 - mmseg - INFO - Iter [21500/40000] lr: 7.123e-06, eta: 2:49:22, time: 0.491, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9551, decode.loss_mask: 0.8058, decode.loss_dice: 1.1593, decode.d0.loss_cls: 3.1678, decode.d0.loss_mask: 0.8422, decode.d0.loss_dice: 1.3324, decode.d1.loss_cls: 1.2995, decode.d1.loss_mask: 0.8275, decode.d1.loss_dice: 1.2282, decode.d2.loss_cls: 1.1073, decode.d2.loss_mask: 0.8106, decode.d2.loss_dice: 1.1888, decode.d3.loss_cls: 1.0321, decode.d3.loss_mask: 0.8091, decode.d3.loss_dice: 1.1659, decode.d4.loss_cls: 0.9977, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.1725, decode.d5.loss_cls: 0.9934, decode.d5.loss_mask: 0.8140, decode.d5.loss_dice: 1.1627, decode.d6.loss_cls: 0.9716, decode.d6.loss_mask: 0.8072, decode.d6.loss_dice: 1.1592, decode.d7.loss_cls: 0.9673, decode.d7.loss_mask: 0.8049, decode.d7.loss_dice: 1.1676, decode.d8.loss_cls: 0.9633, decode.d8.loss_mask: 0.8031, decode.d8.loss_dice: 1.1636, loss: 32.4932 2022-06-21 17:04:58,570 - mmseg - INFO - Iter [21550/40000] lr: 7.104e-06, eta: 2:48:52, time: 0.486, data_time: 0.010, memory: 40943, decode.loss_cls: 1.0088, decode.loss_mask: 0.8130, decode.loss_dice: 1.1878, decode.d0.loss_cls: 3.2440, decode.d0.loss_mask: 0.8537, decode.d0.loss_dice: 1.3754, decode.d1.loss_cls: 1.3198, decode.d1.loss_mask: 0.8404, decode.d1.loss_dice: 1.2678, decode.d2.loss_cls: 1.1434, decode.d2.loss_mask: 0.8232, decode.d2.loss_dice: 1.2156, decode.d3.loss_cls: 1.0665, decode.d3.loss_mask: 0.8157, decode.d3.loss_dice: 1.2046, decode.d4.loss_cls: 1.0372, decode.d4.loss_mask: 0.8132, decode.d4.loss_dice: 1.2037, decode.d5.loss_cls: 1.0195, decode.d5.loss_mask: 0.8119, decode.d5.loss_dice: 1.1953, decode.d6.loss_cls: 1.0110, decode.d6.loss_mask: 0.8111, decode.d6.loss_dice: 1.1889, decode.d7.loss_cls: 1.0019, decode.d7.loss_mask: 0.8125, decode.d7.loss_dice: 1.1911, decode.d8.loss_cls: 1.0063, decode.d8.loss_mask: 0.8122, decode.d8.loss_dice: 1.1893, loss: 33.2847 2022-06-21 17:05:23,044 - mmseg - INFO - Iter [21600/40000] lr: 7.085e-06, eta: 2:48:22, time: 0.490, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9371, decode.loss_mask: 0.8237, decode.loss_dice: 1.1547, decode.d0.loss_cls: 3.1760, decode.d0.loss_mask: 0.8604, decode.d0.loss_dice: 1.3309, decode.d1.loss_cls: 1.2791, decode.d1.loss_mask: 0.8521, decode.d1.loss_dice: 1.2208, decode.d2.loss_cls: 1.0914, decode.d2.loss_mask: 0.8321, decode.d2.loss_dice: 1.1704, decode.d3.loss_cls: 1.0106, decode.d3.loss_mask: 0.8224, decode.d3.loss_dice: 1.1566, decode.d4.loss_cls: 0.9782, decode.d4.loss_mask: 0.8240, decode.d4.loss_dice: 1.1663, decode.d5.loss_cls: 0.9677, decode.d5.loss_mask: 0.8236, decode.d5.loss_dice: 1.1625, decode.d6.loss_cls: 0.9483, decode.d6.loss_mask: 0.8264, decode.d6.loss_dice: 1.1529, decode.d7.loss_cls: 0.9415, decode.d7.loss_mask: 0.8257, decode.d7.loss_dice: 1.1574, decode.d8.loss_cls: 0.9304, decode.d8.loss_mask: 0.8248, decode.d8.loss_dice: 1.1548, loss: 32.4025 2022-06-21 17:05:47,479 - mmseg - INFO - Iter [21650/40000] lr: 7.065e-06, eta: 2:47:52, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9817, decode.loss_mask: 0.7821, decode.loss_dice: 1.1702, decode.d0.loss_cls: 3.2315, decode.d0.loss_mask: 0.8224, decode.d0.loss_dice: 1.3532, decode.d1.loss_cls: 1.2997, decode.d1.loss_mask: 0.8125, decode.d1.loss_dice: 1.2532, decode.d2.loss_cls: 1.1206, decode.d2.loss_mask: 0.7948, decode.d2.loss_dice: 1.1951, decode.d3.loss_cls: 1.0550, decode.d3.loss_mask: 0.7910, decode.d3.loss_dice: 1.1872, decode.d4.loss_cls: 1.0334, decode.d4.loss_mask: 0.7886, decode.d4.loss_dice: 1.1856, decode.d5.loss_cls: 1.0145, decode.d5.loss_mask: 0.7854, decode.d5.loss_dice: 1.1864, decode.d6.loss_cls: 0.9981, decode.d6.loss_mask: 0.7854, decode.d6.loss_dice: 1.1712, decode.d7.loss_cls: 0.9908, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.1744, decode.d8.loss_cls: 0.9883, decode.d8.loss_mask: 0.7810, decode.d8.loss_dice: 1.1739, loss: 32.6900 2022-06-21 17:06:12,194 - mmseg - INFO - Iter [21700/40000] lr: 7.046e-06, eta: 2:47:22, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9552, decode.loss_mask: 0.7970, decode.loss_dice: 1.1156, decode.d0.loss_cls: 3.1612, decode.d0.loss_mask: 0.8255, decode.d0.loss_dice: 1.2980, decode.d1.loss_cls: 1.2843, decode.d1.loss_mask: 0.8277, decode.d1.loss_dice: 1.1905, decode.d2.loss_cls: 1.0860, decode.d2.loss_mask: 0.8140, decode.d2.loss_dice: 1.1437, decode.d3.loss_cls: 1.0141, decode.d3.loss_mask: 0.8117, decode.d3.loss_dice: 1.1212, decode.d4.loss_cls: 1.0025, decode.d4.loss_mask: 0.8069, decode.d4.loss_dice: 1.1211, decode.d5.loss_cls: 0.9897, decode.d5.loss_mask: 0.8013, decode.d5.loss_dice: 1.1227, decode.d6.loss_cls: 0.9774, decode.d6.loss_mask: 0.8040, decode.d6.loss_dice: 1.1116, decode.d7.loss_cls: 0.9515, decode.d7.loss_mask: 0.8042, decode.d7.loss_dice: 1.1161, decode.d8.loss_cls: 0.9507, decode.d8.loss_mask: 0.8004, decode.d8.loss_dice: 1.1182, loss: 31.9243 2022-06-21 17:06:36,731 - mmseg - INFO - Iter [21750/40000] lr: 7.027e-06, eta: 2:46:52, time: 0.491, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9235, decode.loss_mask: 0.8314, decode.loss_dice: 1.1497, decode.d0.loss_cls: 3.1705, decode.d0.loss_mask: 0.8664, decode.d0.loss_dice: 1.3233, decode.d1.loss_cls: 1.2750, decode.d1.loss_mask: 0.8577, decode.d1.loss_dice: 1.2145, decode.d2.loss_cls: 1.0797, decode.d2.loss_mask: 0.8402, decode.d2.loss_dice: 1.1701, decode.d3.loss_cls: 0.9985, decode.d3.loss_mask: 0.8380, decode.d3.loss_dice: 1.1510, decode.d4.loss_cls: 0.9687, decode.d4.loss_mask: 0.8381, decode.d4.loss_dice: 1.1532, decode.d5.loss_cls: 0.9511, decode.d5.loss_mask: 0.8361, decode.d5.loss_dice: 1.1530, decode.d6.loss_cls: 0.9368, decode.d6.loss_mask: 0.8335, decode.d6.loss_dice: 1.1487, decode.d7.loss_cls: 0.9314, decode.d7.loss_mask: 0.8324, decode.d7.loss_dice: 1.1480, decode.d8.loss_cls: 0.9216, decode.d8.loss_mask: 0.8327, decode.d8.loss_dice: 1.1519, loss: 32.3268 2022-06-21 17:07:01,498 - mmseg - INFO - Iter [21800/40000] lr: 7.008e-06, eta: 2:46:22, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9821, decode.loss_mask: 0.7991, decode.loss_dice: 1.1341, decode.d0.loss_cls: 3.2503, decode.d0.loss_mask: 0.8376, decode.d0.loss_dice: 1.3224, decode.d1.loss_cls: 1.3154, decode.d1.loss_mask: 0.8256, decode.d1.loss_dice: 1.2150, decode.d2.loss_cls: 1.1284, decode.d2.loss_mask: 0.8054, decode.d2.loss_dice: 1.1580, decode.d3.loss_cls: 1.0563, decode.d3.loss_mask: 0.8025, decode.d3.loss_dice: 1.1478, decode.d4.loss_cls: 1.0249, decode.d4.loss_mask: 0.8026, decode.d4.loss_dice: 1.1507, decode.d5.loss_cls: 1.0165, decode.d5.loss_mask: 0.7982, decode.d5.loss_dice: 1.1476, decode.d6.loss_cls: 0.9979, decode.d6.loss_mask: 0.7997, decode.d6.loss_dice: 1.1318, decode.d7.loss_cls: 0.9840, decode.d7.loss_mask: 0.7981, decode.d7.loss_dice: 1.1392, decode.d8.loss_cls: 0.9858, decode.d8.loss_mask: 0.7945, decode.d8.loss_dice: 1.1355, loss: 32.4871 2022-06-21 17:07:26,318 - mmseg - INFO - Iter [21850/40000] lr: 6.988e-06, eta: 2:45:53, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9490, decode.loss_mask: 0.8185, decode.loss_dice: 1.1412, decode.d0.loss_cls: 3.1971, decode.d0.loss_mask: 0.8639, decode.d0.loss_dice: 1.3317, decode.d1.loss_cls: 1.2661, decode.d1.loss_mask: 0.8608, decode.d1.loss_dice: 1.2241, decode.d2.loss_cls: 1.0786, decode.d2.loss_mask: 0.8329, decode.d2.loss_dice: 1.1705, decode.d3.loss_cls: 1.0129, decode.d3.loss_mask: 0.8226, decode.d3.loss_dice: 1.1512, decode.d4.loss_cls: 0.9881, decode.d4.loss_mask: 0.8238, decode.d4.loss_dice: 1.1495, decode.d5.loss_cls: 0.9655, decode.d5.loss_mask: 0.8226, decode.d5.loss_dice: 1.1463, decode.d6.loss_cls: 0.9520, decode.d6.loss_mask: 0.8211, decode.d6.loss_dice: 1.1363, decode.d7.loss_cls: 0.9473, decode.d7.loss_mask: 0.8188, decode.d7.loss_dice: 1.1491, decode.d8.loss_cls: 0.9554, decode.d8.loss_mask: 0.8208, decode.d8.loss_dice: 1.1464, loss: 32.3640 2022-06-21 17:07:50,884 - mmseg - INFO - Iter [21900/40000] lr: 6.969e-06, eta: 2:45:23, time: 0.491, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9648, decode.loss_mask: 0.8139, decode.loss_dice: 1.1083, decode.d0.loss_cls: 3.1974, decode.d0.loss_mask: 0.8555, decode.d0.loss_dice: 1.3119, decode.d1.loss_cls: 1.3035, decode.d1.loss_mask: 0.8376, decode.d1.loss_dice: 1.1966, decode.d2.loss_cls: 1.1125, decode.d2.loss_mask: 0.8189, decode.d2.loss_dice: 1.1426, decode.d3.loss_cls: 1.0342, decode.d3.loss_mask: 0.8183, decode.d3.loss_dice: 1.1210, decode.d4.loss_cls: 1.0143, decode.d4.loss_mask: 0.8152, decode.d4.loss_dice: 1.1213, decode.d5.loss_cls: 0.9929, decode.d5.loss_mask: 0.8142, decode.d5.loss_dice: 1.1162, decode.d6.loss_cls: 0.9728, decode.d6.loss_mask: 0.8144, decode.d6.loss_dice: 1.1142, decode.d7.loss_cls: 0.9667, decode.d7.loss_mask: 0.8152, decode.d7.loss_dice: 1.1149, decode.d8.loss_cls: 0.9605, decode.d8.loss_mask: 0.8135, decode.d8.loss_dice: 1.1156, loss: 32.1988 2022-06-21 17:08:18,423 - mmseg - INFO - Iter [21950/40000] lr: 6.950e-06, eta: 2:44:56, time: 0.550, data_time: 0.057, memory: 40943, decode.loss_cls: 0.9253, decode.loss_mask: 0.7909, decode.loss_dice: 1.1491, decode.d0.loss_cls: 3.1613, decode.d0.loss_mask: 0.8311, decode.d0.loss_dice: 1.3149, decode.d1.loss_cls: 1.2435, decode.d1.loss_mask: 0.8182, decode.d1.loss_dice: 1.2066, decode.d2.loss_cls: 1.0595, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.1633, decode.d3.loss_cls: 0.9908, decode.d3.loss_mask: 0.7989, decode.d3.loss_dice: 1.1573, decode.d4.loss_cls: 0.9716, decode.d4.loss_mask: 0.7959, decode.d4.loss_dice: 1.1579, decode.d5.loss_cls: 0.9503, decode.d5.loss_mask: 0.7940, decode.d5.loss_dice: 1.1548, decode.d6.loss_cls: 0.9388, decode.d6.loss_mask: 0.7944, decode.d6.loss_dice: 1.1449, decode.d7.loss_cls: 0.9241, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.9256, decode.d8.loss_mask: 0.7908, decode.d8.loss_dice: 1.1479, loss: 31.8494 2022-06-21 17:08:43,558 - mmseg - INFO - Saving checkpoint at 22000 iterations 2022-06-21 17:08:50,214 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:08:50,215 - mmseg - INFO - Iter [22000/40000] lr: 6.931e-06, eta: 2:44:32, time: 0.636, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9306, decode.loss_mask: 0.8218, decode.loss_dice: 1.1710, decode.d0.loss_cls: 3.1959, decode.d0.loss_mask: 0.8617, decode.d0.loss_dice: 1.3319, decode.d1.loss_cls: 1.2797, decode.d1.loss_mask: 0.8527, decode.d1.loss_dice: 1.2334, decode.d2.loss_cls: 1.0885, decode.d2.loss_mask: 0.8302, decode.d2.loss_dice: 1.1871, decode.d3.loss_cls: 1.0097, decode.d3.loss_mask: 0.8263, decode.d3.loss_dice: 1.1660, decode.d4.loss_cls: 0.9811, decode.d4.loss_mask: 0.8255, decode.d4.loss_dice: 1.1732, decode.d5.loss_cls: 0.9663, decode.d5.loss_mask: 0.8257, decode.d5.loss_dice: 1.1743, decode.d6.loss_cls: 0.9511, decode.d6.loss_mask: 0.8254, decode.d6.loss_dice: 1.1711, decode.d7.loss_cls: 0.9468, decode.d7.loss_mask: 0.8236, decode.d7.loss_dice: 1.1668, decode.d8.loss_cls: 0.9393, decode.d8.loss_mask: 0.8191, decode.d8.loss_dice: 1.1650, loss: 32.5409 2022-06-21 17:09:14,582 - mmseg - INFO - Iter [22050/40000] lr: 6.911e-06, eta: 2:44:02, time: 0.487, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9297, decode.loss_mask: 0.8137, decode.loss_dice: 1.1155, decode.d0.loss_cls: 3.1751, decode.d0.loss_mask: 0.8508, decode.d0.loss_dice: 1.2825, decode.d1.loss_cls: 1.2525, decode.d1.loss_mask: 0.8457, decode.d1.loss_dice: 1.1831, decode.d2.loss_cls: 1.0708, decode.d2.loss_mask: 0.8199, decode.d2.loss_dice: 1.1322, decode.d3.loss_cls: 1.0152, decode.d3.loss_mask: 0.8166, decode.d3.loss_dice: 1.1143, decode.d4.loss_cls: 0.9785, decode.d4.loss_mask: 0.8181, decode.d4.loss_dice: 1.1157, decode.d5.loss_cls: 0.9535, decode.d5.loss_mask: 0.8199, decode.d5.loss_dice: 1.1182, decode.d6.loss_cls: 0.9366, decode.d6.loss_mask: 0.8143, decode.d6.loss_dice: 1.1118, decode.d7.loss_cls: 0.9243, decode.d7.loss_mask: 0.8126, decode.d7.loss_dice: 1.1178, decode.d8.loss_cls: 0.9209, decode.d8.loss_mask: 0.8114, decode.d8.loss_dice: 1.1194, loss: 31.7908 2022-06-21 17:09:39,039 - mmseg - INFO - Iter [22100/40000] lr: 6.892e-06, eta: 2:43:32, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9405, decode.loss_mask: 0.8094, decode.loss_dice: 1.1273, decode.d0.loss_cls: 3.1704, decode.d0.loss_mask: 0.8537, decode.d0.loss_dice: 1.3118, decode.d1.loss_cls: 1.2762, decode.d1.loss_mask: 0.8398, decode.d1.loss_dice: 1.2002, decode.d2.loss_cls: 1.0766, decode.d2.loss_mask: 0.8204, decode.d2.loss_dice: 1.1529, decode.d3.loss_cls: 1.0205, decode.d3.loss_mask: 0.8152, decode.d3.loss_dice: 1.1389, decode.d4.loss_cls: 0.9955, decode.d4.loss_mask: 0.8145, decode.d4.loss_dice: 1.1377, decode.d5.loss_cls: 0.9764, decode.d5.loss_mask: 0.8090, decode.d5.loss_dice: 1.1332, decode.d6.loss_cls: 0.9658, decode.d6.loss_mask: 0.8089, decode.d6.loss_dice: 1.1237, decode.d7.loss_cls: 0.9499, decode.d7.loss_mask: 0.8101, decode.d7.loss_dice: 1.1333, decode.d8.loss_cls: 0.9400, decode.d8.loss_mask: 0.8120, decode.d8.loss_dice: 1.1343, loss: 32.0980 2022-06-21 17:10:04,245 - mmseg - INFO - Iter [22150/40000] lr: 6.873e-06, eta: 2:43:03, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9702, decode.loss_mask: 0.7936, decode.loss_dice: 1.1258, decode.d0.loss_cls: 3.1941, decode.d0.loss_mask: 0.8362, decode.d0.loss_dice: 1.3069, decode.d1.loss_cls: 1.2688, decode.d1.loss_mask: 0.8294, decode.d1.loss_dice: 1.1905, decode.d2.loss_cls: 1.0907, decode.d2.loss_mask: 0.8066, decode.d2.loss_dice: 1.1522, decode.d3.loss_cls: 1.0275, decode.d3.loss_mask: 0.8022, decode.d3.loss_dice: 1.1358, decode.d4.loss_cls: 1.0071, decode.d4.loss_mask: 0.8032, decode.d4.loss_dice: 1.1381, decode.d5.loss_cls: 0.9918, decode.d5.loss_mask: 0.7995, decode.d5.loss_dice: 1.1330, decode.d6.loss_cls: 0.9810, decode.d6.loss_mask: 0.7986, decode.d6.loss_dice: 1.1319, decode.d7.loss_cls: 0.9730, decode.d7.loss_mask: 0.8002, decode.d7.loss_dice: 1.1320, decode.d8.loss_cls: 0.9615, decode.d8.loss_mask: 0.7978, decode.d8.loss_dice: 1.1260, loss: 32.1052 2022-06-21 17:10:29,605 - mmseg - INFO - Iter [22200/40000] lr: 6.854e-06, eta: 2:42:34, time: 0.507, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8963, decode.loss_mask: 0.7942, decode.loss_dice: 1.0948, decode.d0.loss_cls: 3.1144, decode.d0.loss_mask: 0.8352, decode.d0.loss_dice: 1.2829, decode.d1.loss_cls: 1.2221, decode.d1.loss_mask: 0.8188, decode.d1.loss_dice: 1.1734, decode.d2.loss_cls: 1.0494, decode.d2.loss_mask: 0.7990, decode.d2.loss_dice: 1.1173, decode.d3.loss_cls: 0.9718, decode.d3.loss_mask: 0.7958, decode.d3.loss_dice: 1.1021, decode.d4.loss_cls: 0.9419, decode.d4.loss_mask: 0.7945, decode.d4.loss_dice: 1.1014, decode.d5.loss_cls: 0.9330, decode.d5.loss_mask: 0.7929, decode.d5.loss_dice: 1.1044, decode.d6.loss_cls: 0.9088, decode.d6.loss_mask: 0.7960, decode.d6.loss_dice: 1.0975, decode.d7.loss_cls: 0.8967, decode.d7.loss_mask: 0.7970, decode.d7.loss_dice: 1.1032, decode.d8.loss_cls: 0.9037, decode.d8.loss_mask: 0.7962, decode.d8.loss_dice: 1.1006, loss: 31.1352 2022-06-21 17:10:55,300 - mmseg - INFO - Iter [22250/40000] lr: 6.834e-06, eta: 2:42:05, time: 0.513, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9535, decode.loss_mask: 0.7830, decode.loss_dice: 1.1051, decode.d0.loss_cls: 3.2362, decode.d0.loss_mask: 0.8159, decode.d0.loss_dice: 1.2857, decode.d1.loss_cls: 1.2874, decode.d1.loss_mask: 0.8039, decode.d1.loss_dice: 1.1757, decode.d2.loss_cls: 1.0979, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.1240, decode.d3.loss_cls: 1.0382, decode.d3.loss_mask: 0.7853, decode.d3.loss_dice: 1.1083, decode.d4.loss_cls: 1.0050, decode.d4.loss_mask: 0.7878, decode.d4.loss_dice: 1.1154, decode.d5.loss_cls: 0.9875, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.1070, decode.d6.loss_cls: 0.9740, decode.d6.loss_mask: 0.7881, decode.d6.loss_dice: 1.1069, decode.d7.loss_cls: 0.9538, decode.d7.loss_mask: 0.7865, decode.d7.loss_dice: 1.1084, decode.d8.loss_cls: 0.9645, decode.d8.loss_mask: 0.7852, decode.d8.loss_dice: 1.1058, loss: 31.7536 2022-06-21 17:11:20,704 - mmseg - INFO - Iter [22300/40000] lr: 6.815e-06, eta: 2:41:36, time: 0.509, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9337, decode.loss_mask: 0.7883, decode.loss_dice: 1.1424, decode.d0.loss_cls: 3.1721, decode.d0.loss_mask: 0.8235, decode.d0.loss_dice: 1.3138, decode.d1.loss_cls: 1.2615, decode.d1.loss_mask: 0.8161, decode.d1.loss_dice: 1.2033, decode.d2.loss_cls: 1.0852, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.1574, decode.d3.loss_cls: 1.0157, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.1449, decode.d4.loss_cls: 0.9900, decode.d4.loss_mask: 0.7892, decode.d4.loss_dice: 1.1460, decode.d5.loss_cls: 0.9704, decode.d5.loss_mask: 0.7861, decode.d5.loss_dice: 1.1360, decode.d6.loss_cls: 0.9486, decode.d6.loss_mask: 0.7906, decode.d6.loss_dice: 1.1330, decode.d7.loss_cls: 0.9399, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.1435, decode.d8.loss_cls: 0.9426, decode.d8.loss_mask: 0.7872, decode.d8.loss_dice: 1.1397, loss: 31.8705 2022-06-21 17:11:45,392 - mmseg - INFO - Iter [22350/40000] lr: 6.796e-06, eta: 2:41:07, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9580, decode.loss_mask: 0.7791, decode.loss_dice: 1.1361, decode.d0.loss_cls: 3.2036, decode.d0.loss_mask: 0.8259, decode.d0.loss_dice: 1.3080, decode.d1.loss_cls: 1.2986, decode.d1.loss_mask: 0.8135, decode.d1.loss_dice: 1.2043, decode.d2.loss_cls: 1.1027, decode.d2.loss_mask: 0.7896, decode.d2.loss_dice: 1.1534, decode.d3.loss_cls: 1.0443, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.1376, decode.d4.loss_cls: 1.0155, decode.d4.loss_mask: 0.7798, decode.d4.loss_dice: 1.1416, decode.d5.loss_cls: 1.0052, decode.d5.loss_mask: 0.7795, decode.d5.loss_dice: 1.1379, decode.d6.loss_cls: 0.9792, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.1358, decode.d7.loss_cls: 0.9683, decode.d7.loss_mask: 0.7808, decode.d7.loss_dice: 1.1356, decode.d8.loss_cls: 0.9586, decode.d8.loss_mask: 0.7810, decode.d8.loss_dice: 1.1416, loss: 32.0578 2022-06-21 17:12:10,426 - mmseg - INFO - Iter [22400/40000] lr: 6.777e-06, eta: 2:40:37, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9135, decode.loss_mask: 0.7981, decode.loss_dice: 1.1178, decode.d0.loss_cls: 3.2180, decode.d0.loss_mask: 0.8351, decode.d0.loss_dice: 1.3003, decode.d1.loss_cls: 1.2621, decode.d1.loss_mask: 0.8221, decode.d1.loss_dice: 1.1881, decode.d2.loss_cls: 1.0574, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.1422, decode.d3.loss_cls: 0.9845, decode.d3.loss_mask: 0.8061, decode.d3.loss_dice: 1.1297, decode.d4.loss_cls: 0.9597, decode.d4.loss_mask: 0.7992, decode.d4.loss_dice: 1.1376, decode.d5.loss_cls: 0.9404, decode.d5.loss_mask: 0.8027, decode.d5.loss_dice: 1.1354, decode.d6.loss_cls: 0.9259, decode.d6.loss_mask: 0.7999, decode.d6.loss_dice: 1.1251, decode.d7.loss_cls: 0.9213, decode.d7.loss_mask: 0.8011, decode.d7.loss_dice: 1.1244, decode.d8.loss_cls: 0.9133, decode.d8.loss_mask: 0.7986, decode.d8.loss_dice: 1.1222, loss: 31.6898 2022-06-21 17:12:35,056 - mmseg - INFO - Iter [22450/40000] lr: 6.757e-06, eta: 2:40:08, time: 0.492, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9188, decode.loss_mask: 0.8035, decode.loss_dice: 1.1496, decode.d0.loss_cls: 3.1802, decode.d0.loss_mask: 0.8322, decode.d0.loss_dice: 1.3221, decode.d1.loss_cls: 1.2618, decode.d1.loss_mask: 0.8336, decode.d1.loss_dice: 1.2207, decode.d2.loss_cls: 1.0698, decode.d2.loss_mask: 0.8104, decode.d2.loss_dice: 1.1703, decode.d3.loss_cls: 0.9978, decode.d3.loss_mask: 0.8037, decode.d3.loss_dice: 1.1552, decode.d4.loss_cls: 0.9739, decode.d4.loss_mask: 0.7994, decode.d4.loss_dice: 1.1587, decode.d5.loss_cls: 0.9571, decode.d5.loss_mask: 0.7984, decode.d5.loss_dice: 1.1571, decode.d6.loss_cls: 0.9361, decode.d6.loss_mask: 0.8038, decode.d6.loss_dice: 1.1560, decode.d7.loss_cls: 0.9289, decode.d7.loss_mask: 0.8031, decode.d7.loss_dice: 1.1562, decode.d8.loss_cls: 0.9214, decode.d8.loss_mask: 0.7962, decode.d8.loss_dice: 1.1490, loss: 32.0249 2022-06-21 17:13:01,902 - mmseg - INFO - Iter [22500/40000] lr: 6.738e-06, eta: 2:39:40, time: 0.538, data_time: 0.061, memory: 40943, decode.loss_cls: 0.8389, decode.loss_mask: 0.8204, decode.loss_dice: 1.1156, decode.d0.loss_cls: 3.0904, decode.d0.loss_mask: 0.8584, decode.d0.loss_dice: 1.2725, decode.d1.loss_cls: 1.1720, decode.d1.loss_mask: 0.8431, decode.d1.loss_dice: 1.1724, decode.d2.loss_cls: 0.9905, decode.d2.loss_mask: 0.8263, decode.d2.loss_dice: 1.1338, decode.d3.loss_cls: 0.9207, decode.d3.loss_mask: 0.8236, decode.d3.loss_dice: 1.1185, decode.d4.loss_cls: 0.8890, decode.d4.loss_mask: 0.8223, decode.d4.loss_dice: 1.1157, decode.d5.loss_cls: 0.8755, decode.d5.loss_mask: 0.8220, decode.d5.loss_dice: 1.1147, decode.d6.loss_cls: 0.8593, decode.d6.loss_mask: 0.8218, decode.d6.loss_dice: 1.1077, decode.d7.loss_cls: 0.8531, decode.d7.loss_mask: 0.8194, decode.d7.loss_dice: 1.1103, decode.d8.loss_cls: 0.8400, decode.d8.loss_mask: 0.8177, decode.d8.loss_dice: 1.1141, loss: 30.9797 2022-06-21 17:13:27,123 - mmseg - INFO - Iter [22550/40000] lr: 6.719e-06, eta: 2:39:11, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9004, decode.loss_mask: 0.8074, decode.loss_dice: 1.1411, decode.d0.loss_cls: 3.1556, decode.d0.loss_mask: 0.8512, decode.d0.loss_dice: 1.3317, decode.d1.loss_cls: 1.2152, decode.d1.loss_mask: 0.8429, decode.d1.loss_dice: 1.2144, decode.d2.loss_cls: 1.0430, decode.d2.loss_mask: 0.8171, decode.d2.loss_dice: 1.1668, decode.d3.loss_cls: 0.9758, decode.d3.loss_mask: 0.8144, decode.d3.loss_dice: 1.1496, decode.d4.loss_cls: 0.9441, decode.d4.loss_mask: 0.8152, decode.d4.loss_dice: 1.1552, decode.d5.loss_cls: 0.9239, decode.d5.loss_mask: 0.8152, decode.d5.loss_dice: 1.1443, decode.d6.loss_cls: 0.9114, decode.d6.loss_mask: 0.8097, decode.d6.loss_dice: 1.1389, decode.d7.loss_cls: 0.9025, decode.d7.loss_mask: 0.8038, decode.d7.loss_dice: 1.1455, decode.d8.loss_cls: 0.9059, decode.d8.loss_mask: 0.8077, decode.d8.loss_dice: 1.1415, loss: 31.7914 2022-06-21 17:13:52,037 - mmseg - INFO - Iter [22600/40000] lr: 6.699e-06, eta: 2:38:42, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9098, decode.loss_mask: 0.7737, decode.loss_dice: 1.1070, decode.d0.loss_cls: 3.1594, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.2911, decode.d1.loss_cls: 1.2379, decode.d1.loss_mask: 0.7982, decode.d1.loss_dice: 1.1767, decode.d2.loss_cls: 1.0598, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.1226, decode.d3.loss_cls: 0.9839, decode.d3.loss_mask: 0.7785, decode.d3.loss_dice: 1.1084, decode.d4.loss_cls: 0.9446, decode.d4.loss_mask: 0.7791, decode.d4.loss_dice: 1.1139, decode.d5.loss_cls: 0.9323, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.1076, decode.d6.loss_cls: 0.9207, decode.d6.loss_mask: 0.7772, decode.d6.loss_dice: 1.1048, decode.d7.loss_cls: 0.9147, decode.d7.loss_mask: 0.7734, decode.d7.loss_dice: 1.1035, decode.d8.loss_cls: 0.9053, decode.d8.loss_mask: 0.7725, decode.d8.loss_dice: 1.1027, loss: 31.1385 2022-06-21 17:14:16,704 - mmseg - INFO - Iter [22650/40000] lr: 6.680e-06, eta: 2:38:12, time: 0.493, data_time: 0.008, memory: 40943, decode.loss_cls: 0.8751, decode.loss_mask: 0.7960, decode.loss_dice: 1.0733, decode.d0.loss_cls: 3.1007, decode.d0.loss_mask: 0.8419, decode.d0.loss_dice: 1.2651, decode.d1.loss_cls: 1.1935, decode.d1.loss_mask: 0.8306, decode.d1.loss_dice: 1.1542, decode.d2.loss_cls: 1.0131, decode.d2.loss_mask: 0.8127, decode.d2.loss_dice: 1.1077, decode.d3.loss_cls: 0.9475, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.0935, decode.d4.loss_cls: 0.9333, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.0922, decode.d5.loss_cls: 0.8998, decode.d5.loss_mask: 0.7990, decode.d5.loss_dice: 1.0873, decode.d6.loss_cls: 0.8880, decode.d6.loss_mask: 0.7990, decode.d6.loss_dice: 1.0838, decode.d7.loss_cls: 0.8771, decode.d7.loss_mask: 0.7978, decode.d7.loss_dice: 1.0789, decode.d8.loss_cls: 0.8792, decode.d8.loss_mask: 0.7983, decode.d8.loss_dice: 1.0793, loss: 30.7986 2022-06-21 17:14:41,897 - mmseg - INFO - Iter [22700/40000] lr: 6.661e-06, eta: 2:37:43, time: 0.504, data_time: 0.008, memory: 40943, decode.loss_cls: 0.9191, decode.loss_mask: 0.7857, decode.loss_dice: 1.0945, decode.d0.loss_cls: 3.1930, decode.d0.loss_mask: 0.8408, decode.d0.loss_dice: 1.2844, decode.d1.loss_cls: 1.2410, decode.d1.loss_mask: 0.8161, decode.d1.loss_dice: 1.1703, decode.d2.loss_cls: 1.0547, decode.d2.loss_mask: 0.7976, decode.d2.loss_dice: 1.1138, decode.d3.loss_cls: 0.9872, decode.d3.loss_mask: 0.7907, decode.d3.loss_dice: 1.1011, decode.d4.loss_cls: 0.9543, decode.d4.loss_mask: 0.7923, decode.d4.loss_dice: 1.0999, decode.d5.loss_cls: 0.9397, decode.d5.loss_mask: 0.7923, decode.d5.loss_dice: 1.1007, decode.d6.loss_cls: 0.9339, decode.d6.loss_mask: 0.7911, decode.d6.loss_dice: 1.0911, decode.d7.loss_cls: 0.9281, decode.d7.loss_mask: 0.7894, decode.d7.loss_dice: 1.0929, decode.d8.loss_cls: 0.9208, decode.d8.loss_mask: 0.7847, decode.d8.loss_dice: 1.0936, loss: 31.2950 2022-06-21 17:15:07,033 - mmseg - INFO - Iter [22750/40000] lr: 6.642e-06, eta: 2:37:14, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9518, decode.loss_mask: 0.8189, decode.loss_dice: 1.1563, decode.d0.loss_cls: 3.2085, decode.d0.loss_mask: 0.8548, decode.d0.loss_dice: 1.3346, decode.d1.loss_cls: 1.3039, decode.d1.loss_mask: 0.8373, decode.d1.loss_dice: 1.2213, decode.d2.loss_cls: 1.1040, decode.d2.loss_mask: 0.8211, decode.d2.loss_dice: 1.1735, decode.d3.loss_cls: 1.0265, decode.d3.loss_mask: 0.8197, decode.d3.loss_dice: 1.1699, decode.d4.loss_cls: 1.0029, decode.d4.loss_mask: 0.8247, decode.d4.loss_dice: 1.1651, decode.d5.loss_cls: 0.9891, decode.d5.loss_mask: 0.8216, decode.d5.loss_dice: 1.1632, decode.d6.loss_cls: 0.9720, decode.d6.loss_mask: 0.8195, decode.d6.loss_dice: 1.1580, decode.d7.loss_cls: 0.9668, decode.d7.loss_mask: 0.8165, decode.d7.loss_dice: 1.1620, decode.d8.loss_cls: 0.9525, decode.d8.loss_mask: 0.8200, decode.d8.loss_dice: 1.1598, loss: 32.5957 2022-06-21 17:15:31,969 - mmseg - INFO - Iter [22800/40000] lr: 6.622e-06, eta: 2:36:45, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9549, decode.loss_mask: 0.8024, decode.loss_dice: 1.1288, decode.d0.loss_cls: 3.2151, decode.d0.loss_mask: 0.8328, decode.d0.loss_dice: 1.3058, decode.d1.loss_cls: 1.2787, decode.d1.loss_mask: 0.8289, decode.d1.loss_dice: 1.1971, decode.d2.loss_cls: 1.0856, decode.d2.loss_mask: 0.8125, decode.d2.loss_dice: 1.1550, decode.d3.loss_cls: 1.0292, decode.d3.loss_mask: 0.8075, decode.d3.loss_dice: 1.1385, decode.d4.loss_cls: 0.9934, decode.d4.loss_mask: 0.8057, decode.d4.loss_dice: 1.1345, decode.d5.loss_cls: 0.9744, decode.d5.loss_mask: 0.8080, decode.d5.loss_dice: 1.1357, decode.d6.loss_cls: 0.9682, decode.d6.loss_mask: 0.8044, decode.d6.loss_dice: 1.1325, decode.d7.loss_cls: 0.9572, decode.d7.loss_mask: 0.8044, decode.d7.loss_dice: 1.1321, decode.d8.loss_cls: 0.9547, decode.d8.loss_mask: 0.8031, decode.d8.loss_dice: 1.1308, loss: 32.1120 2022-06-21 17:15:56,769 - mmseg - INFO - Iter [22850/40000] lr: 6.603e-06, eta: 2:36:16, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9229, decode.loss_mask: 0.8097, decode.loss_dice: 1.1431, decode.d0.loss_cls: 3.1635, decode.d0.loss_mask: 0.8518, decode.d0.loss_dice: 1.3240, decode.d1.loss_cls: 1.2501, decode.d1.loss_mask: 0.8348, decode.d1.loss_dice: 1.2109, decode.d2.loss_cls: 1.0644, decode.d2.loss_mask: 0.8211, decode.d2.loss_dice: 1.1696, decode.d3.loss_cls: 1.0031, decode.d3.loss_mask: 0.8121, decode.d3.loss_dice: 1.1540, decode.d4.loss_cls: 0.9706, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.1579, decode.d5.loss_cls: 0.9540, decode.d5.loss_mask: 0.8095, decode.d5.loss_dice: 1.1534, decode.d6.loss_cls: 0.9371, decode.d6.loss_mask: 0.8058, decode.d6.loss_dice: 1.1421, decode.d7.loss_cls: 0.9161, decode.d7.loss_mask: 0.8107, decode.d7.loss_dice: 1.1481, decode.d8.loss_cls: 0.9236, decode.d8.loss_mask: 0.8066, decode.d8.loss_dice: 1.1480, loss: 32.0296 2022-06-21 17:16:21,537 - mmseg - INFO - Iter [22900/40000] lr: 6.584e-06, eta: 2:35:47, time: 0.496, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9402, decode.loss_mask: 0.8006, decode.loss_dice: 1.1285, decode.d0.loss_cls: 3.1857, decode.d0.loss_mask: 0.8420, decode.d0.loss_dice: 1.3177, decode.d1.loss_cls: 1.2808, decode.d1.loss_mask: 0.8280, decode.d1.loss_dice: 1.1991, decode.d2.loss_cls: 1.0929, decode.d2.loss_mask: 0.8106, decode.d2.loss_dice: 1.1485, decode.d3.loss_cls: 1.0164, decode.d3.loss_mask: 0.8087, decode.d3.loss_dice: 1.1349, decode.d4.loss_cls: 0.9859, decode.d4.loss_mask: 0.8027, decode.d4.loss_dice: 1.1267, decode.d5.loss_cls: 0.9718, decode.d5.loss_mask: 0.8040, decode.d5.loss_dice: 1.1269, decode.d6.loss_cls: 0.9596, decode.d6.loss_mask: 0.8028, decode.d6.loss_dice: 1.1194, decode.d7.loss_cls: 0.9515, decode.d7.loss_mask: 0.8014, decode.d7.loss_dice: 1.1260, decode.d8.loss_cls: 0.9464, decode.d8.loss_mask: 0.7983, decode.d8.loss_dice: 1.1232, loss: 31.9810 2022-06-21 17:16:46,455 - mmseg - INFO - Iter [22950/40000] lr: 6.565e-06, eta: 2:35:17, time: 0.498, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9173, decode.loss_mask: 0.7946, decode.loss_dice: 1.1387, decode.d0.loss_cls: 3.1586, decode.d0.loss_mask: 0.8424, decode.d0.loss_dice: 1.3210, decode.d1.loss_cls: 1.2523, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.2119, decode.d2.loss_cls: 1.0686, decode.d2.loss_mask: 0.8011, decode.d2.loss_dice: 1.1623, decode.d3.loss_cls: 0.9888, decode.d3.loss_mask: 0.7984, decode.d3.loss_dice: 1.1518, decode.d4.loss_cls: 0.9647, decode.d4.loss_mask: 0.7995, decode.d4.loss_dice: 1.1535, decode.d5.loss_cls: 0.9357, decode.d5.loss_mask: 0.8009, decode.d5.loss_dice: 1.1502, decode.d6.loss_cls: 0.9138, decode.d6.loss_mask: 0.8001, decode.d6.loss_dice: 1.1451, decode.d7.loss_cls: 0.9114, decode.d7.loss_mask: 0.8028, decode.d7.loss_dice: 1.1434, decode.d8.loss_cls: 0.9124, decode.d8.loss_mask: 0.7971, decode.d8.loss_dice: 1.1376, loss: 31.7949 2022-06-21 17:17:11,544 - mmseg - INFO - Saving checkpoint at 23000 iterations 2022-06-21 17:17:17,571 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:17:17,571 - mmseg - INFO - Iter [23000/40000] lr: 6.545e-06, eta: 2:34:53, time: 0.623, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8733, decode.loss_mask: 0.7909, decode.loss_dice: 1.0988, decode.d0.loss_cls: 3.1294, decode.d0.loss_mask: 0.8269, decode.d0.loss_dice: 1.2691, decode.d1.loss_cls: 1.2119, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.1651, decode.d2.loss_cls: 1.0191, decode.d2.loss_mask: 0.8032, decode.d2.loss_dice: 1.1204, decode.d3.loss_cls: 0.9514, decode.d3.loss_mask: 0.7977, decode.d3.loss_dice: 1.1071, decode.d4.loss_cls: 0.9134, decode.d4.loss_mask: 0.7949, decode.d4.loss_dice: 1.1027, decode.d5.loss_cls: 0.9030, decode.d5.loss_mask: 0.7913, decode.d5.loss_dice: 1.1109, decode.d6.loss_cls: 0.8879, decode.d6.loss_mask: 0.7929, decode.d6.loss_dice: 1.1038, decode.d7.loss_cls: 0.8729, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.1004, decode.d8.loss_cls: 0.8648, decode.d8.loss_mask: 0.7932, decode.d8.loss_dice: 1.1049, loss: 30.9142 2022-06-21 17:17:44,465 - mmseg - INFO - Iter [23050/40000] lr: 6.526e-06, eta: 2:34:25, time: 0.538, data_time: 0.058, memory: 40943, decode.loss_cls: 0.9196, decode.loss_mask: 0.7832, decode.loss_dice: 1.1191, decode.d0.loss_cls: 3.1758, decode.d0.loss_mask: 0.8261, decode.d0.loss_dice: 1.3129, decode.d1.loss_cls: 1.2651, decode.d1.loss_mask: 0.8149, decode.d1.loss_dice: 1.2008, decode.d2.loss_cls: 1.0593, decode.d2.loss_mask: 0.7929, decode.d2.loss_dice: 1.1481, decode.d3.loss_cls: 0.9809, decode.d3.loss_mask: 0.7936, decode.d3.loss_dice: 1.1294, decode.d4.loss_cls: 0.9587, decode.d4.loss_mask: 0.7937, decode.d4.loss_dice: 1.1271, decode.d5.loss_cls: 0.9384, decode.d5.loss_mask: 0.7873, decode.d5.loss_dice: 1.1260, decode.d6.loss_cls: 0.9276, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.1154, decode.d7.loss_cls: 0.9185, decode.d7.loss_mask: 0.7873, decode.d7.loss_dice: 1.1175, decode.d8.loss_cls: 0.9169, decode.d8.loss_mask: 0.7882, decode.d8.loss_dice: 1.1230, loss: 31.5364 2022-06-21 17:18:09,461 - mmseg - INFO - Iter [23100/40000] lr: 6.507e-06, eta: 2:33:56, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9237, decode.loss_mask: 0.8060, decode.loss_dice: 1.1053, decode.d0.loss_cls: 3.1752, decode.d0.loss_mask: 0.8422, decode.d0.loss_dice: 1.3001, decode.d1.loss_cls: 1.2352, decode.d1.loss_mask: 0.8358, decode.d1.loss_dice: 1.1801, decode.d2.loss_cls: 1.0616, decode.d2.loss_mask: 0.8087, decode.d2.loss_dice: 1.1295, decode.d3.loss_cls: 1.0037, decode.d3.loss_mask: 0.8024, decode.d3.loss_dice: 1.1131, decode.d4.loss_cls: 0.9759, decode.d4.loss_mask: 0.8089, decode.d4.loss_dice: 1.1172, decode.d5.loss_cls: 0.9591, decode.d5.loss_mask: 0.8053, decode.d5.loss_dice: 1.1156, decode.d6.loss_cls: 0.9433, decode.d6.loss_mask: 0.8081, decode.d6.loss_dice: 1.1053, decode.d7.loss_cls: 0.9338, decode.d7.loss_mask: 0.8032, decode.d7.loss_dice: 1.1113, decode.d8.loss_cls: 0.9296, decode.d8.loss_mask: 0.8033, decode.d8.loss_dice: 1.1147, loss: 31.6571 2022-06-21 17:18:33,655 - mmseg - INFO - Iter [23150/40000] lr: 6.488e-06, eta: 2:33:27, time: 0.485, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8978, decode.loss_mask: 0.7792, decode.loss_dice: 1.0976, decode.d0.loss_cls: 3.0918, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.2816, decode.d1.loss_cls: 1.2232, decode.d1.loss_mask: 0.8119, decode.d1.loss_dice: 1.1736, decode.d2.loss_cls: 1.0484, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.1260, decode.d3.loss_cls: 0.9626, decode.d3.loss_mask: 0.7840, decode.d3.loss_dice: 1.1120, decode.d4.loss_cls: 0.9414, decode.d4.loss_mask: 0.7844, decode.d4.loss_dice: 1.1059, decode.d5.loss_cls: 0.9258, decode.d5.loss_mask: 0.7815, decode.d5.loss_dice: 1.1056, decode.d6.loss_cls: 0.9061, decode.d6.loss_mask: 0.7845, decode.d6.loss_dice: 1.1025, decode.d7.loss_cls: 0.9025, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.0968, decode.d8.loss_cls: 0.8935, decode.d8.loss_mask: 0.7810, decode.d8.loss_dice: 1.1010, loss: 30.9895 2022-06-21 17:18:58,688 - mmseg - INFO - Iter [23200/40000] lr: 6.468e-06, eta: 2:32:58, time: 0.500, data_time: 0.014, memory: 40943, decode.loss_cls: 0.9340, decode.loss_mask: 0.8171, decode.loss_dice: 1.1480, decode.d0.loss_cls: 3.2136, decode.d0.loss_mask: 0.8572, decode.d0.loss_dice: 1.3278, decode.d1.loss_cls: 1.2775, decode.d1.loss_mask: 0.8457, decode.d1.loss_dice: 1.2173, decode.d2.loss_cls: 1.0868, decode.d2.loss_mask: 0.8273, decode.d2.loss_dice: 1.1693, decode.d3.loss_cls: 1.0099, decode.d3.loss_mask: 0.8247, decode.d3.loss_dice: 1.1533, decode.d4.loss_cls: 0.9802, decode.d4.loss_mask: 0.8264, decode.d4.loss_dice: 1.1536, decode.d5.loss_cls: 0.9683, decode.d5.loss_mask: 0.8196, decode.d5.loss_dice: 1.1544, decode.d6.loss_cls: 0.9442, decode.d6.loss_mask: 0.8214, decode.d6.loss_dice: 1.1487, decode.d7.loss_cls: 0.9276, decode.d7.loss_mask: 0.8216, decode.d7.loss_dice: 1.1570, decode.d8.loss_cls: 0.9276, decode.d8.loss_mask: 0.8200, decode.d8.loss_dice: 1.1546, loss: 32.3346 2022-06-21 17:19:23,290 - mmseg - INFO - Iter [23250/40000] lr: 6.449e-06, eta: 2:32:28, time: 0.493, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9190, decode.loss_mask: 0.8127, decode.loss_dice: 1.1346, decode.d0.loss_cls: 3.1603, decode.d0.loss_mask: 0.8458, decode.d0.loss_dice: 1.3009, decode.d1.loss_cls: 1.2539, decode.d1.loss_mask: 0.8377, decode.d1.loss_dice: 1.1946, decode.d2.loss_cls: 1.0617, decode.d2.loss_mask: 0.8274, decode.d2.loss_dice: 1.1614, decode.d3.loss_cls: 0.9907, decode.d3.loss_mask: 0.8258, decode.d3.loss_dice: 1.1489, decode.d4.loss_cls: 0.9734, decode.d4.loss_mask: 0.8192, decode.d4.loss_dice: 1.1458, decode.d5.loss_cls: 0.9414, decode.d5.loss_mask: 0.8201, decode.d5.loss_dice: 1.1438, decode.d6.loss_cls: 0.9401, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.1369, decode.d7.loss_cls: 0.9237, decode.d7.loss_mask: 0.8155, decode.d7.loss_dice: 1.1371, decode.d8.loss_cls: 0.9200, decode.d8.loss_mask: 0.8098, decode.d8.loss_dice: 1.1385, loss: 31.9539 2022-06-21 17:19:48,059 - mmseg - INFO - Iter [23300/40000] lr: 6.430e-06, eta: 2:31:59, time: 0.495, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8588, decode.loss_mask: 0.7957, decode.loss_dice: 1.0761, decode.d0.loss_cls: 3.0825, decode.d0.loss_mask: 0.8260, decode.d0.loss_dice: 1.2404, decode.d1.loss_cls: 1.1894, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.1340, decode.d2.loss_cls: 1.0057, decode.d2.loss_mask: 0.8068, decode.d2.loss_dice: 1.0973, decode.d3.loss_cls: 0.9468, decode.d3.loss_mask: 0.7970, decode.d3.loss_dice: 1.0722, decode.d4.loss_cls: 0.9133, decode.d4.loss_mask: 0.7957, decode.d4.loss_dice: 1.0838, decode.d5.loss_cls: 0.8992, decode.d5.loss_mask: 0.7897, decode.d5.loss_dice: 1.0762, decode.d6.loss_cls: 0.8858, decode.d6.loss_mask: 0.7887, decode.d6.loss_dice: 1.0750, decode.d7.loss_cls: 0.8741, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.0770, decode.d8.loss_cls: 0.8638, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.0768, loss: 30.5355 2022-06-21 17:20:12,476 - mmseg - INFO - Iter [23350/40000] lr: 6.411e-06, eta: 2:31:30, time: 0.489, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9201, decode.loss_mask: 0.7954, decode.loss_dice: 1.1188, decode.d0.loss_cls: 3.1617, decode.d0.loss_mask: 0.8449, decode.d0.loss_dice: 1.3119, decode.d1.loss_cls: 1.2418, decode.d1.loss_mask: 0.8292, decode.d1.loss_dice: 1.1864, decode.d2.loss_cls: 1.0674, decode.d2.loss_mask: 0.8089, decode.d2.loss_dice: 1.1346, decode.d3.loss_cls: 0.9855, decode.d3.loss_mask: 0.8006, decode.d3.loss_dice: 1.1234, decode.d4.loss_cls: 0.9670, decode.d4.loss_mask: 0.7977, decode.d4.loss_dice: 1.1243, decode.d5.loss_cls: 0.9551, decode.d5.loss_mask: 0.7979, decode.d5.loss_dice: 1.1138, decode.d6.loss_cls: 0.9399, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.1113, decode.d7.loss_cls: 0.9337, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.1127, decode.d8.loss_cls: 0.9197, decode.d8.loss_mask: 0.7941, decode.d8.loss_dice: 1.1194, loss: 31.6074 2022-06-21 17:20:36,990 - mmseg - INFO - Iter [23400/40000] lr: 6.391e-06, eta: 2:31:01, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9049, decode.loss_mask: 0.7845, decode.loss_dice: 1.0947, decode.d0.loss_cls: 3.1006, decode.d0.loss_mask: 0.8191, decode.d0.loss_dice: 1.2587, decode.d1.loss_cls: 1.2077, decode.d1.loss_mask: 0.8105, decode.d1.loss_dice: 1.1628, decode.d2.loss_cls: 1.0355, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.1147, decode.d3.loss_cls: 0.9637, decode.d3.loss_mask: 0.7854, decode.d3.loss_dice: 1.0933, decode.d4.loss_cls: 0.9450, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.0961, decode.d5.loss_cls: 0.9225, decode.d5.loss_mask: 0.7800, decode.d5.loss_dice: 1.0927, decode.d6.loss_cls: 0.9103, decode.d6.loss_mask: 0.7862, decode.d6.loss_dice: 1.0887, decode.d7.loss_cls: 0.9165, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.0817, decode.d8.loss_cls: 0.9077, decode.d8.loss_mask: 0.7847, decode.d8.loss_dice: 1.0858, loss: 30.8857 2022-06-21 17:21:01,630 - mmseg - INFO - Iter [23450/40000] lr: 6.372e-06, eta: 2:30:31, time: 0.493, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8937, decode.loss_mask: 0.8148, decode.loss_dice: 1.1229, decode.d0.loss_cls: 3.1262, decode.d0.loss_mask: 0.8650, decode.d0.loss_dice: 1.3007, decode.d1.loss_cls: 1.2212, decode.d1.loss_mask: 0.8556, decode.d1.loss_dice: 1.1961, decode.d2.loss_cls: 1.0484, decode.d2.loss_mask: 0.8268, decode.d2.loss_dice: 1.1489, decode.d3.loss_cls: 0.9767, decode.d3.loss_mask: 0.8256, decode.d3.loss_dice: 1.1326, decode.d4.loss_cls: 0.9525, decode.d4.loss_mask: 0.8262, decode.d4.loss_dice: 1.1330, decode.d5.loss_cls: 0.9285, decode.d5.loss_mask: 0.8216, decode.d5.loss_dice: 1.1263, decode.d6.loss_cls: 0.9168, decode.d6.loss_mask: 0.8188, decode.d6.loss_dice: 1.1192, decode.d7.loss_cls: 0.9007, decode.d7.loss_mask: 0.8198, decode.d7.loss_dice: 1.1257, decode.d8.loss_cls: 0.8922, decode.d8.loss_mask: 0.8172, decode.d8.loss_dice: 1.1248, loss: 31.6785 2022-06-21 17:21:26,016 - mmseg - INFO - Iter [23500/40000] lr: 6.353e-06, eta: 2:30:02, time: 0.488, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9069, decode.loss_mask: 0.7986, decode.loss_dice: 1.1379, decode.d0.loss_cls: 3.1180, decode.d0.loss_mask: 0.8359, decode.d0.loss_dice: 1.3129, decode.d1.loss_cls: 1.2309, decode.d1.loss_mask: 0.8254, decode.d1.loss_dice: 1.2095, decode.d2.loss_cls: 1.0551, decode.d2.loss_mask: 0.8084, decode.d2.loss_dice: 1.1639, decode.d3.loss_cls: 0.9841, decode.d3.loss_mask: 0.8011, decode.d3.loss_dice: 1.1553, decode.d4.loss_cls: 0.9455, decode.d4.loss_mask: 0.8012, decode.d4.loss_dice: 1.1545, decode.d5.loss_cls: 0.9324, decode.d5.loss_mask: 0.8018, decode.d5.loss_dice: 1.1526, decode.d6.loss_cls: 0.9202, decode.d6.loss_mask: 0.8003, decode.d6.loss_dice: 1.1448, decode.d7.loss_cls: 0.9107, decode.d7.loss_mask: 0.8035, decode.d7.loss_dice: 1.1449, decode.d8.loss_cls: 0.8991, decode.d8.loss_mask: 0.8021, decode.d8.loss_dice: 1.1382, loss: 31.6956 2022-06-21 17:21:50,965 - mmseg - INFO - Iter [23550/40000] lr: 6.334e-06, eta: 2:29:33, time: 0.498, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9272, decode.loss_mask: 0.7807, decode.loss_dice: 1.0899, decode.d0.loss_cls: 3.1672, decode.d0.loss_mask: 0.8179, decode.d0.loss_dice: 1.2703, decode.d1.loss_cls: 1.2649, decode.d1.loss_mask: 0.8058, decode.d1.loss_dice: 1.1652, decode.d2.loss_cls: 1.0693, decode.d2.loss_mask: 0.7860, decode.d2.loss_dice: 1.1130, decode.d3.loss_cls: 1.0042, decode.d3.loss_mask: 0.7831, decode.d3.loss_dice: 1.0961, decode.d4.loss_cls: 0.9669, decode.d4.loss_mask: 0.7836, decode.d4.loss_dice: 1.1002, decode.d5.loss_cls: 0.9504, decode.d5.loss_mask: 0.7848, decode.d5.loss_dice: 1.0917, decode.d6.loss_cls: 0.9348, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.0885, decode.d7.loss_cls: 0.9197, decode.d7.loss_mask: 0.7831, decode.d7.loss_dice: 1.0938, decode.d8.loss_cls: 0.9242, decode.d8.loss_mask: 0.7843, decode.d8.loss_dice: 1.0925, loss: 31.2234 2022-06-21 17:22:15,335 - mmseg - INFO - Iter [23600/40000] lr: 6.314e-06, eta: 2:29:04, time: 0.488, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9266, decode.loss_mask: 0.7967, decode.loss_dice: 1.1243, decode.d0.loss_cls: 3.1959, decode.d0.loss_mask: 0.8378, decode.d0.loss_dice: 1.3115, decode.d1.loss_cls: 1.2302, decode.d1.loss_mask: 0.8312, decode.d1.loss_dice: 1.2080, decode.d2.loss_cls: 1.0602, decode.d2.loss_mask: 0.8130, decode.d2.loss_dice: 1.1549, decode.d3.loss_cls: 0.9813, decode.d3.loss_mask: 0.8075, decode.d3.loss_dice: 1.1427, decode.d4.loss_cls: 0.9640, decode.d4.loss_mask: 0.8066, decode.d4.loss_dice: 1.1404, decode.d5.loss_cls: 0.9523, decode.d5.loss_mask: 0.8051, decode.d5.loss_dice: 1.1387, decode.d6.loss_cls: 0.9352, decode.d6.loss_mask: 0.8071, decode.d6.loss_dice: 1.1292, decode.d7.loss_cls: 0.9278, decode.d7.loss_mask: 0.8038, decode.d7.loss_dice: 1.1282, decode.d8.loss_cls: 0.9171, decode.d8.loss_mask: 0.8021, decode.d8.loss_dice: 1.1298, loss: 31.8093 2022-06-21 17:22:41,850 - mmseg - INFO - Iter [23650/40000] lr: 6.295e-06, eta: 2:28:36, time: 0.530, data_time: 0.057, memory: 40943, decode.loss_cls: 0.8680, decode.loss_mask: 0.8073, decode.loss_dice: 1.1254, decode.d0.loss_cls: 3.1401, decode.d0.loss_mask: 0.8553, decode.d0.loss_dice: 1.3071, decode.d1.loss_cls: 1.2075, decode.d1.loss_mask: 0.8306, decode.d1.loss_dice: 1.1920, decode.d2.loss_cls: 1.0036, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.1495, decode.d3.loss_cls: 0.9359, decode.d3.loss_mask: 0.8125, decode.d3.loss_dice: 1.1229, decode.d4.loss_cls: 0.9105, decode.d4.loss_mask: 0.8063, decode.d4.loss_dice: 1.1311, decode.d5.loss_cls: 0.8894, decode.d5.loss_mask: 0.8015, decode.d5.loss_dice: 1.1321, decode.d6.loss_cls: 0.8767, decode.d6.loss_mask: 0.8037, decode.d6.loss_dice: 1.1231, decode.d7.loss_cls: 0.8732, decode.d7.loss_mask: 0.8040, decode.d7.loss_dice: 1.1300, decode.d8.loss_cls: 0.8735, decode.d8.loss_mask: 0.8009, decode.d8.loss_dice: 1.1207, loss: 31.2509 2022-06-21 17:23:06,812 - mmseg - INFO - Iter [23700/40000] lr: 6.276e-06, eta: 2:28:07, time: 0.499, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9128, decode.loss_mask: 0.7849, decode.loss_dice: 1.1468, decode.d0.loss_cls: 3.1705, decode.d0.loss_mask: 0.8354, decode.d0.loss_dice: 1.3194, decode.d1.loss_cls: 1.2399, decode.d1.loss_mask: 0.8186, decode.d1.loss_dice: 1.2207, decode.d2.loss_cls: 1.0490, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.1741, decode.d3.loss_cls: 0.9706, decode.d3.loss_mask: 0.7964, decode.d3.loss_dice: 1.1568, decode.d4.loss_cls: 0.9491, decode.d4.loss_mask: 0.7909, decode.d4.loss_dice: 1.1546, decode.d5.loss_cls: 0.9411, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.1565, decode.d6.loss_cls: 0.9175, decode.d6.loss_mask: 0.7883, decode.d6.loss_dice: 1.1493, decode.d7.loss_cls: 0.9211, decode.d7.loss_mask: 0.7867, decode.d7.loss_dice: 1.1496, decode.d8.loss_cls: 0.9132, decode.d8.loss_mask: 0.7834, decode.d8.loss_dice: 1.1487, loss: 31.7378 2022-06-21 17:23:31,307 - mmseg - INFO - Iter [23750/40000] lr: 6.257e-06, eta: 2:27:38, time: 0.490, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9045, decode.loss_mask: 0.7963, decode.loss_dice: 1.1272, decode.d0.loss_cls: 3.1391, decode.d0.loss_mask: 0.8330, decode.d0.loss_dice: 1.3052, decode.d1.loss_cls: 1.2304, decode.d1.loss_mask: 0.8211, decode.d1.loss_dice: 1.1850, decode.d2.loss_cls: 1.0283, decode.d2.loss_mask: 0.8073, decode.d2.loss_dice: 1.1525, decode.d3.loss_cls: 0.9744, decode.d3.loss_mask: 0.7990, decode.d3.loss_dice: 1.1386, decode.d4.loss_cls: 0.9447, decode.d4.loss_mask: 0.8008, decode.d4.loss_dice: 1.1434, decode.d5.loss_cls: 0.9403, decode.d5.loss_mask: 0.7962, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.9307, decode.d6.loss_mask: 0.7984, decode.d6.loss_dice: 1.1355, decode.d7.loss_cls: 0.9195, decode.d7.loss_mask: 0.7973, decode.d7.loss_dice: 1.1353, decode.d8.loss_cls: 0.9132, decode.d8.loss_mask: 0.7985, decode.d8.loss_dice: 1.1331, loss: 31.5691 2022-06-21 17:23:55,708 - mmseg - INFO - Iter [23800/40000] lr: 6.237e-06, eta: 2:27:09, time: 0.488, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8728, decode.loss_mask: 0.7959, decode.loss_dice: 1.0837, decode.d0.loss_cls: 3.1170, decode.d0.loss_mask: 0.8396, decode.d0.loss_dice: 1.2474, decode.d1.loss_cls: 1.1843, decode.d1.loss_mask: 0.8320, decode.d1.loss_dice: 1.1577, decode.d2.loss_cls: 1.0173, decode.d2.loss_mask: 0.8111, decode.d2.loss_dice: 1.1056, decode.d3.loss_cls: 0.9387, decode.d3.loss_mask: 0.8037, decode.d3.loss_dice: 1.0975, decode.d4.loss_cls: 0.9220, decode.d4.loss_mask: 0.8016, decode.d4.loss_dice: 1.0946, decode.d5.loss_cls: 0.9043, decode.d5.loss_mask: 0.7914, decode.d5.loss_dice: 1.0839, decode.d6.loss_cls: 0.8860, decode.d6.loss_mask: 0.7983, decode.d6.loss_dice: 1.0876, decode.d7.loss_cls: 0.8761, decode.d7.loss_mask: 0.7953, decode.d7.loss_dice: 1.0899, decode.d8.loss_cls: 0.8687, decode.d8.loss_mask: 0.7948, decode.d8.loss_dice: 1.0873, loss: 30.7862 2022-06-21 17:24:19,766 - mmseg - INFO - Iter [23850/40000] lr: 6.218e-06, eta: 2:26:39, time: 0.481, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9175, decode.loss_mask: 0.7913, decode.loss_dice: 1.1342, decode.d0.loss_cls: 3.1985, decode.d0.loss_mask: 0.8290, decode.d0.loss_dice: 1.3081, decode.d1.loss_cls: 1.2609, decode.d1.loss_mask: 0.8203, decode.d1.loss_dice: 1.1999, decode.d2.loss_cls: 1.0707, decode.d2.loss_mask: 0.8008, decode.d2.loss_dice: 1.1509, decode.d3.loss_cls: 1.0011, decode.d3.loss_mask: 0.7980, decode.d3.loss_dice: 1.1406, decode.d4.loss_cls: 0.9662, decode.d4.loss_mask: 0.7972, decode.d4.loss_dice: 1.1427, decode.d5.loss_cls: 0.9544, decode.d5.loss_mask: 0.7927, decode.d5.loss_dice: 1.1368, decode.d6.loss_cls: 0.9352, decode.d6.loss_mask: 0.7915, decode.d6.loss_dice: 1.1317, decode.d7.loss_cls: 0.9286, decode.d7.loss_mask: 0.7881, decode.d7.loss_dice: 1.1297, decode.d8.loss_cls: 0.9220, decode.d8.loss_mask: 0.7895, decode.d8.loss_dice: 1.1292, loss: 31.7571 2022-06-21 17:24:44,768 - mmseg - INFO - Iter [23900/40000] lr: 6.199e-06, eta: 2:26:11, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8771, decode.loss_mask: 0.7936, decode.loss_dice: 1.1200, decode.d0.loss_cls: 3.1376, decode.d0.loss_mask: 0.8336, decode.d0.loss_dice: 1.2966, decode.d1.loss_cls: 1.2160, decode.d1.loss_mask: 0.8231, decode.d1.loss_dice: 1.1835, decode.d2.loss_cls: 1.0323, decode.d2.loss_mask: 0.7996, decode.d2.loss_dice: 1.1421, decode.d3.loss_cls: 0.9625, decode.d3.loss_mask: 0.7969, decode.d3.loss_dice: 1.1277, decode.d4.loss_cls: 0.9383, decode.d4.loss_mask: 0.7962, decode.d4.loss_dice: 1.1238, decode.d5.loss_cls: 0.9191, decode.d5.loss_mask: 0.7971, decode.d5.loss_dice: 1.1235, decode.d6.loss_cls: 0.8956, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.1183, decode.d7.loss_cls: 0.8861, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.1236, decode.d8.loss_cls: 0.8761, decode.d8.loss_mask: 0.7975, decode.d8.loss_dice: 1.1168, loss: 31.2459 2022-06-21 17:25:09,444 - mmseg - INFO - Iter [23950/40000] lr: 6.180e-06, eta: 2:25:42, time: 0.494, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9374, decode.loss_mask: 0.8121, decode.loss_dice: 1.1432, decode.d0.loss_cls: 3.2062, decode.d0.loss_mask: 0.8605, decode.d0.loss_dice: 1.3391, decode.d1.loss_cls: 1.2765, decode.d1.loss_mask: 0.8365, decode.d1.loss_dice: 1.2253, decode.d2.loss_cls: 1.0886, decode.d2.loss_mask: 0.8220, decode.d2.loss_dice: 1.1690, decode.d3.loss_cls: 1.0209, decode.d3.loss_mask: 0.8156, decode.d3.loss_dice: 1.1557, decode.d4.loss_cls: 0.9968, decode.d4.loss_mask: 0.8138, decode.d4.loss_dice: 1.1504, decode.d5.loss_cls: 0.9737, decode.d5.loss_mask: 0.8130, decode.d5.loss_dice: 1.1510, decode.d6.loss_cls: 0.9571, decode.d6.loss_mask: 0.8091, decode.d6.loss_dice: 1.1432, decode.d7.loss_cls: 0.9434, decode.d7.loss_mask: 0.8081, decode.d7.loss_dice: 1.1445, decode.d8.loss_cls: 0.9463, decode.d8.loss_mask: 0.8083, decode.d8.loss_dice: 1.1435, loss: 32.3108 2022-06-21 17:25:33,363 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-06-21 17:25:40,722 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:25:40,722 - mmseg - INFO - Iter [24000/40000] lr: 6.160e-06, eta: 2:25:17, time: 0.626, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8940, decode.loss_mask: 0.7909, decode.loss_dice: 1.1212, decode.d0.loss_cls: 3.1159, decode.d0.loss_mask: 0.8297, decode.d0.loss_dice: 1.3080, decode.d1.loss_cls: 1.2121, decode.d1.loss_mask: 0.8178, decode.d1.loss_dice: 1.1997, decode.d2.loss_cls: 1.0365, decode.d2.loss_mask: 0.8026, decode.d2.loss_dice: 1.1526, decode.d3.loss_cls: 0.9714, decode.d3.loss_mask: 0.7966, decode.d3.loss_dice: 1.1358, decode.d4.loss_cls: 0.9487, decode.d4.loss_mask: 0.7971, decode.d4.loss_dice: 1.1376, decode.d5.loss_cls: 0.9200, decode.d5.loss_mask: 0.7977, decode.d5.loss_dice: 1.1274, decode.d6.loss_cls: 0.9100, decode.d6.loss_mask: 0.7966, decode.d6.loss_dice: 1.1212, decode.d7.loss_cls: 0.9017, decode.d7.loss_mask: 0.7914, decode.d7.loss_dice: 1.1191, decode.d8.loss_cls: 0.8963, decode.d8.loss_mask: 0.7903, decode.d8.loss_dice: 1.1168, loss: 31.3567 2022-06-21 17:26:00,821 - mmseg - INFO - per class results: 2022-06-21 17:26:00,832 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.24 | 94.17 | | bicycle | 69.45 | 86.23 | | car | 58.92 | 67.8 | | motorcycle | 81.54 | 88.58 | | airplane | 83.35 | 94.9 | | bus | 79.89 | 90.3 | | train | 80.43 | 95.79 | | truck | 72.31 | 88.09 | | boat | 76.82 | 86.1 | | traffic light | 75.52 | 92.05 | | fire hydrant | 93.5 | 97.62 | | stop sign | 94.5 | 96.82 | | parking meter | 87.2 | 92.69 | | bench | 48.73 | 68.22 | | bird | 74.15 | 81.23 | | cat | 92.06 | 95.2 | | dog | 89.09 | 94.68 | | horse | 91.45 | 96.07 | | sheep | 85.25 | 90.8 | | cow | 94.89 | 97.05 | | elephant | 92.15 | 96.0 | | bear | 92.83 | 94.68 | | zebra | 91.91 | 95.46 | | giraffe | 87.31 | 93.61 | | backpack | 26.34 | 51.07 | | umbrella | 75.47 | 84.07 | | handbag | 22.72 | 44.23 | | tie | 0.01 | 0.01 | | suitcase | 81.44 | 89.85 | | frisbee | 54.26 | 55.82 | | skis | 39.21 | 58.62 | | snowboard | 62.4 | 75.38 | | sports ball | 75.3 | 94.38 | | kite | 74.52 | 83.57 | | baseball bat | 54.13 | 73.22 | | baseball glove | 2.65 | 2.77 | | skateboard | 67.69 | 83.72 | | surfboard | 89.29 | 94.79 | | tennis racket | 92.7 | 95.99 | | bottle | 62.71 | 78.82 | | wine glass | 83.34 | 94.32 | | cup | 62.98 | 75.85 | | fork | 37.44 | 59.72 | | knife | 68.77 | 79.65 | | spoon | 41.08 | 57.82 | | bowl | 51.93 | 73.27 | | banana | 66.94 | 85.73 | | apple | 72.39 | 87.9 | | sandwich | 88.01 | 97.72 | | orange | 56.81 | 74.61 | | broccoli | 87.8 | 98.26 | | carrot | 38.42 | 52.85 | | hot dog | 42.86 | 95.36 | | pizza | 91.47 | 92.98 | | donut | 72.14 | 86.51 | | cake | 73.6 | 81.62 | | chair | 58.56 | 78.53 | | couch | 69.0 | 86.75 | | potted plant | 29.52 | 37.48 | | bed | 67.76 | 81.33 | | dining table | 53.71 | 73.73 | | toilet | 83.32 | 91.76 | | tv | 79.46 | 91.23 | | laptop | 83.76 | 93.38 | | mouse | 73.27 | 78.44 | | remote | 71.27 | 90.05 | | keyboard | 87.45 | 97.1 | | cell phone | 82.6 | 95.63 | | microwave | 65.35 | 69.09 | | oven | 62.95 | 85.21 | | toaster | 0.0 | 0.0 | | sink | 67.63 | 76.26 | | refrigerator | 86.84 | 94.96 | | book | 73.35 | 88.33 | | clock | 77.11 | 81.11 | | vase | 58.04 | 92.66 | | scissors | 62.19 | 93.55 | | teddy bear | 85.54 | 91.49 | | hair drier | 0.0 | 0.0 | | toothbrush | 19.08 | 22.77 | | banner | 30.9 | 56.22 | | blanket | 0.0 | 0.0 | | branch | 0.0 | 0.0 | | bridge | 5.3 | 8.8 | | building-other | 57.38 | 79.27 | | bush | 41.65 | 52.03 | | cabinet | 29.5 | 50.23 | | cage | 65.02 | 80.81 | | cardboard | 21.81 | 29.27 | | carpet | 55.8 | 68.14 | | ceiling-other | 65.91 | 80.72 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 20.32 | 30.35 | | clouds | 49.21 | 65.66 | | counter | 27.58 | 32.56 | | cupboard | 58.5 | 72.72 | | curtain | 69.76 | 85.38 | | desk-stuff | 26.89 | 29.35 | | dirt | 42.05 | 73.34 | | door-stuff | 41.63 | 56.82 | | fence | 45.34 | 72.76 | | floor-marble | 0.0 | 0.0 | | floor-other | 37.72 | 52.83 | | floor-stone | 11.79 | 11.82 | | floor-tile | 61.63 | 73.2 | | floor-wood | 69.28 | 79.33 | | flower | 17.86 | 48.26 | | fog | 0.0 | 0.0 | | food-other | 40.48 | 67.97 | | fruit | 18.86 | 19.63 | | furniture-other | 18.31 | 28.24 | | grass | 74.49 | 82.96 | | gravel | 30.69 | 33.4 | | ground-other | 8.82 | 17.43 | | hill | 25.31 | 36.87 | | house | 32.02 | 41.19 | | leaves | 14.01 | 19.7 | | light | 38.53 | 49.24 | | mat | 9.63 | 14.82 | | metal | 20.52 | 30.34 | | mirror-stuff | 29.17 | 43.65 | | moss | 0.0 | 0.0 | | mountain | 26.27 | 42.89 | | mud | 0.0 | 0.0 | | napkin | 40.75 | 62.42 | | net | 23.49 | 24.46 | | paper | 33.94 | 58.25 | | pavement | 47.09 | 65.17 | | pillow | 0.0 | 0.0 | | plant-other | 31.36 | 53.95 | | plastic | 6.12 | 7.85 | | platform | 33.66 | 53.34 | | playingfield | 69.04 | 79.71 | | railing | 18.75 | 32.55 | | railroad | 56.96 | 76.93 | | river | 0.0 | 0.0 | | road | 73.38 | 83.4 | | rock | 48.92 | 81.67 | | roof | 33.45 | 56.26 | | rug | 46.64 | 54.79 | | salad | 0.0 | 0.0 | | sand | 76.6 | 83.41 | | sea | 74.69 | 89.43 | | shelf | 22.21 | 40.71 | | sky-other | 59.24 | 75.01 | | skyscraper | 12.26 | 14.86 | | snow | 92.0 | 93.78 | | solid-other | nan | nan | | stairs | 24.06 | 38.09 | | stone | 0.17 | 0.21 | | straw | 16.22 | 33.54 | | structural-other | 16.63 | 29.94 | | table | 18.47 | 33.04 | | tent | 36.76 | 49.57 | | textile-other | 18.23 | 29.96 | | towel | 33.47 | 42.89 | | tree | 78.62 | 87.76 | | vegetable | 27.39 | 42.74 | | wall-brick | 46.75 | 60.73 | | wall-concrete | 25.45 | 31.82 | | wall-other | 64.46 | 82.15 | | wall-panel | 0.0 | 0.0 | | wall-stone | 29.04 | 34.81 | | wall-tile | 53.24 | 84.59 | | wall-wood | 39.03 | 65.29 | | water-other | 38.07 | 59.81 | | waterdrops | nan | nan | | window-blind | 43.42 | 72.38 | | window-other | 44.42 | 56.61 | | wood | 16.63 | 28.7 | +------------------+-------+-------+ 2022-06-21 17:26:00,833 - mmseg - INFO - Summary: 2022-06-21 17:26:00,833 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 74.7 | 49.15 | 60.92 | +------+-------+-------+ 2022-06-21 17:26:00,835 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_20000.pth was removed 2022-06-21 17:26:05,274 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. 2022-06-21 17:26:05,274 - mmseg - INFO - Best mIoU is 0.4915 at 24000 iter. 2022-06-21 17:26:05,279 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:26:05,279 - mmseg - INFO - Iter(val) [125] aAcc: 0.7470, mIoU: 0.4915, mAcc: 0.6092, IoU.person: 0.8724, IoU.bicycle: 0.6945, IoU.car: 0.5892, IoU.motorcycle: 0.8154, IoU.airplane: 0.8335, IoU.bus: 0.7989, IoU.train: 0.8043, IoU.truck: 0.7231, IoU.boat: 0.7682, IoU.traffic light: 0.7552, IoU.fire hydrant: 0.9350, IoU.stop sign: 0.9450, IoU.parking meter: 0.8720, IoU.bench: 0.4873, IoU.bird: 0.7415, IoU.cat: 0.9206, IoU.dog: 0.8909, IoU.horse: 0.9145, IoU.sheep: 0.8525, IoU.cow: 0.9489, IoU.elephant: 0.9215, IoU.bear: 0.9283, IoU.zebra: 0.9191, IoU.giraffe: 0.8731, IoU.backpack: 0.2634, IoU.umbrella: 0.7547, IoU.handbag: 0.2272, IoU.tie: 0.0001, IoU.suitcase: 0.8144, IoU.frisbee: 0.5426, IoU.skis: 0.3921, IoU.snowboard: 0.6240, IoU.sports ball: 0.7530, IoU.kite: 0.7452, IoU.baseball bat: 0.5413, IoU.baseball glove: 0.0265, IoU.skateboard: 0.6769, IoU.surfboard: 0.8929, IoU.tennis racket: 0.9270, IoU.bottle: 0.6271, IoU.wine glass: 0.8334, IoU.cup: 0.6298, IoU.fork: 0.3744, IoU.knife: 0.6877, IoU.spoon: 0.4108, IoU.bowl: 0.5193, IoU.banana: 0.6694, IoU.apple: 0.7239, IoU.sandwich: 0.8801, IoU.orange: 0.5681, IoU.broccoli: 0.8780, IoU.carrot: 0.3842, IoU.hot dog: 0.4286, IoU.pizza: 0.9147, IoU.donut: 0.7214, IoU.cake: 0.7360, IoU.chair: 0.5856, IoU.couch: 0.6900, IoU.potted plant: 0.2952, IoU.bed: 0.6776, IoU.dining table: 0.5371, IoU.toilet: 0.8332, IoU.tv: 0.7946, IoU.laptop: 0.8376, IoU.mouse: 0.7327, IoU.remote: 0.7127, IoU.keyboard: 0.8745, IoU.cell phone: 0.8260, IoU.microwave: 0.6535, IoU.oven: 0.6295, IoU.toaster: 0.0000, IoU.sink: 0.6763, IoU.refrigerator: 0.8684, IoU.book: 0.7335, IoU.clock: 0.7711, IoU.vase: 0.5804, IoU.scissors: 0.6219, IoU.teddy bear: 0.8554, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1908, IoU.banner: 0.3090, IoU.blanket: 0.0000, IoU.branch: 0.0000, IoU.bridge: 0.0530, IoU.building-other: 0.5738, IoU.bush: 0.4165, IoU.cabinet: 0.2950, IoU.cage: 0.6502, IoU.cardboard: 0.2181, IoU.carpet: 0.5580, IoU.ceiling-other: 0.6591, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2032, IoU.clouds: 0.4921, IoU.counter: 0.2758, IoU.cupboard: 0.5850, IoU.curtain: 0.6976, IoU.desk-stuff: 0.2689, IoU.dirt: 0.4205, IoU.door-stuff: 0.4163, IoU.fence: 0.4534, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3772, IoU.floor-stone: 0.1179, IoU.floor-tile: 0.6163, IoU.floor-wood: 0.6928, IoU.flower: 0.1786, IoU.fog: 0.0000, IoU.food-other: 0.4048, IoU.fruit: 0.1886, IoU.furniture-other: 0.1831, IoU.grass: 0.7449, IoU.gravel: 0.3069, IoU.ground-other: 0.0882, IoU.hill: 0.2531, IoU.house: 0.3202, IoU.leaves: 0.1401, IoU.light: 0.3853, IoU.mat: 0.0963, IoU.metal: 0.2052, IoU.mirror-stuff: 0.2917, IoU.moss: 0.0000, IoU.mountain: 0.2627, IoU.mud: 0.0000, IoU.napkin: 0.4075, IoU.net: 0.2349, IoU.paper: 0.3394, IoU.pavement: 0.4709, IoU.pillow: 0.0000, IoU.plant-other: 0.3136, IoU.plastic: 0.0612, IoU.platform: 0.3366, IoU.playingfield: 0.6904, IoU.railing: 0.1875, IoU.railroad: 0.5696, IoU.river: 0.0000, IoU.road: 0.7338, IoU.rock: 0.4892, IoU.roof: 0.3345, IoU.rug: 0.4664, IoU.salad: 0.0000, IoU.sand: 0.7660, IoU.sea: 0.7469, IoU.shelf: 0.2221, IoU.sky-other: 0.5924, IoU.skyscraper: 0.1226, IoU.snow: 0.9200, IoU.solid-other: nan, IoU.stairs: 0.2406, IoU.stone: 0.0017, IoU.straw: 0.1622, IoU.structural-other: 0.1663, IoU.table: 0.1847, IoU.tent: 0.3676, IoU.textile-other: 0.1823, IoU.towel: 0.3347, IoU.tree: 0.7862, IoU.vegetable: 0.2739, IoU.wall-brick: 0.4675, IoU.wall-concrete: 0.2545, IoU.wall-other: 0.6446, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2904, IoU.wall-tile: 0.5324, IoU.wall-wood: 0.3903, IoU.water-other: 0.3807, IoU.waterdrops: nan, IoU.window-blind: 0.4342, IoU.window-other: 0.4442, IoU.wood: 0.1663, Acc.person: 0.9417, Acc.bicycle: 0.8623, Acc.car: 0.6780, Acc.motorcycle: 0.8858, Acc.airplane: 0.9490, Acc.bus: 0.9030, Acc.train: 0.9579, Acc.truck: 0.8809, Acc.boat: 0.8610, Acc.traffic light: 0.9205, Acc.fire hydrant: 0.9762, Acc.stop sign: 0.9682, Acc.parking meter: 0.9269, Acc.bench: 0.6822, Acc.bird: 0.8123, Acc.cat: 0.9520, Acc.dog: 0.9468, Acc.horse: 0.9607, Acc.sheep: 0.9080, Acc.cow: 0.9705, Acc.elephant: 0.9600, Acc.bear: 0.9468, Acc.zebra: 0.9546, Acc.giraffe: 0.9361, Acc.backpack: 0.5107, Acc.umbrella: 0.8407, Acc.handbag: 0.4423, Acc.tie: 0.0001, Acc.suitcase: 0.8985, Acc.frisbee: 0.5582, Acc.skis: 0.5862, Acc.snowboard: 0.7538, Acc.sports ball: 0.9438, Acc.kite: 0.8357, Acc.baseball bat: 0.7322, Acc.baseball glove: 0.0277, Acc.skateboard: 0.8372, Acc.surfboard: 0.9479, Acc.tennis racket: 0.9599, Acc.bottle: 0.7882, Acc.wine glass: 0.9432, Acc.cup: 0.7585, Acc.fork: 0.5972, Acc.knife: 0.7965, Acc.spoon: 0.5782, Acc.bowl: 0.7327, Acc.banana: 0.8573, Acc.apple: 0.8790, Acc.sandwich: 0.9772, Acc.orange: 0.7461, Acc.broccoli: 0.9826, Acc.carrot: 0.5285, Acc.hot dog: 0.9536, Acc.pizza: 0.9298, Acc.donut: 0.8651, Acc.cake: 0.8162, Acc.chair: 0.7853, Acc.couch: 0.8675, Acc.potted plant: 0.3748, Acc.bed: 0.8133, Acc.dining table: 0.7373, Acc.toilet: 0.9176, Acc.tv: 0.9123, Acc.laptop: 0.9338, Acc.mouse: 0.7844, Acc.remote: 0.9005, Acc.keyboard: 0.9710, Acc.cell phone: 0.9563, Acc.microwave: 0.6909, Acc.oven: 0.8521, Acc.toaster: 0.0000, Acc.sink: 0.7626, Acc.refrigerator: 0.9496, Acc.book: 0.8833, Acc.clock: 0.8111, Acc.vase: 0.9266, Acc.scissors: 0.9355, Acc.teddy bear: 0.9149, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2277, Acc.banner: 0.5622, Acc.blanket: 0.0000, Acc.branch: 0.0000, Acc.bridge: 0.0880, Acc.building-other: 0.7927, Acc.bush: 0.5203, Acc.cabinet: 0.5023, Acc.cage: 0.8081, Acc.cardboard: 0.2927, Acc.carpet: 0.6814, Acc.ceiling-other: 0.8072, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3035, Acc.clouds: 0.6566, Acc.counter: 0.3256, Acc.cupboard: 0.7272, Acc.curtain: 0.8538, Acc.desk-stuff: 0.2935, Acc.dirt: 0.7334, Acc.door-stuff: 0.5682, Acc.fence: 0.7276, Acc.floor-marble: 0.0000, Acc.floor-other: 0.5283, Acc.floor-stone: 0.1182, Acc.floor-tile: 0.7320, Acc.floor-wood: 0.7933, Acc.flower: 0.4826, Acc.fog: 0.0000, Acc.food-other: 0.6797, Acc.fruit: 0.1963, Acc.furniture-other: 0.2824, Acc.grass: 0.8296, Acc.gravel: 0.3340, Acc.ground-other: 0.1743, Acc.hill: 0.3687, Acc.house: 0.4119, Acc.leaves: 0.1970, Acc.light: 0.4924, Acc.mat: 0.1482, Acc.metal: 0.3034, Acc.mirror-stuff: 0.4365, Acc.moss: 0.0000, Acc.mountain: 0.4289, Acc.mud: 0.0000, Acc.napkin: 0.6242, Acc.net: 0.2446, Acc.paper: 0.5825, Acc.pavement: 0.6517, Acc.pillow: 0.0000, Acc.plant-other: 0.5395, Acc.plastic: 0.0785, Acc.platform: 0.5334, Acc.playingfield: 0.7971, Acc.railing: 0.3255, Acc.railroad: 0.7693, Acc.river: 0.0000, Acc.road: 0.8340, Acc.rock: 0.8167, Acc.roof: 0.5626, Acc.rug: 0.5479, Acc.salad: 0.0000, Acc.sand: 0.8341, Acc.sea: 0.8943, Acc.shelf: 0.4071, Acc.sky-other: 0.7501, Acc.skyscraper: 0.1486, Acc.snow: 0.9378, Acc.solid-other: nan, Acc.stairs: 0.3809, Acc.stone: 0.0021, Acc.straw: 0.3354, Acc.structural-other: 0.2994, Acc.table: 0.3304, Acc.tent: 0.4957, Acc.textile-other: 0.2996, Acc.towel: 0.4289, Acc.tree: 0.8776, Acc.vegetable: 0.4274, Acc.wall-brick: 0.6073, Acc.wall-concrete: 0.3182, Acc.wall-other: 0.8215, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.3481, Acc.wall-tile: 0.8459, Acc.wall-wood: 0.6529, Acc.water-other: 0.5981, Acc.waterdrops: nan, Acc.window-blind: 0.7238, Acc.window-other: 0.5661, Acc.wood: 0.2870 2022-06-21 17:26:29,191 - mmseg - INFO - Iter [24050/40000] lr: 6.141e-06, eta: 2:25:04, time: 0.969, data_time: 0.500, memory: 40943, decode.loss_cls: 0.9156, decode.loss_mask: 0.7886, decode.loss_dice: 1.1328, decode.d0.loss_cls: 3.0993, decode.d0.loss_mask: 0.8326, decode.d0.loss_dice: 1.3088, decode.d1.loss_cls: 1.2277, decode.d1.loss_mask: 0.8186, decode.d1.loss_dice: 1.2052, decode.d2.loss_cls: 1.0503, decode.d2.loss_mask: 0.7968, decode.d2.loss_dice: 1.1535, decode.d3.loss_cls: 0.9981, decode.d3.loss_mask: 0.7928, decode.d3.loss_dice: 1.1396, decode.d4.loss_cls: 0.9680, decode.d4.loss_mask: 0.7963, decode.d4.loss_dice: 1.1438, decode.d5.loss_cls: 0.9468, decode.d5.loss_mask: 0.7910, decode.d5.loss_dice: 1.1357, decode.d6.loss_cls: 0.9290, decode.d6.loss_mask: 0.7922, decode.d6.loss_dice: 1.1309, decode.d7.loss_cls: 0.9205, decode.d7.loss_mask: 0.7889, decode.d7.loss_dice: 1.1329, decode.d8.loss_cls: 0.9221, decode.d8.loss_mask: 0.7886, decode.d8.loss_dice: 1.1340, loss: 31.5811 2022-06-21 17:26:53,363 - mmseg - INFO - Iter [24100/40000] lr: 6.122e-06, eta: 2:24:35, time: 0.482, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8548, decode.loss_mask: 0.8120, decode.loss_dice: 1.1243, decode.d0.loss_cls: 3.0503, decode.d0.loss_mask: 0.8582, decode.d0.loss_dice: 1.2872, decode.d1.loss_cls: 1.1879, decode.d1.loss_mask: 0.8375, decode.d1.loss_dice: 1.1920, decode.d2.loss_cls: 0.9938, decode.d2.loss_mask: 0.8218, decode.d2.loss_dice: 1.1444, decode.d3.loss_cls: 0.9271, decode.d3.loss_mask: 0.8152, decode.d3.loss_dice: 1.1342, decode.d4.loss_cls: 0.9019, decode.d4.loss_mask: 0.8131, decode.d4.loss_dice: 1.1332, decode.d5.loss_cls: 0.8842, decode.d5.loss_mask: 0.8105, decode.d5.loss_dice: 1.1279, decode.d6.loss_cls: 0.8720, decode.d6.loss_mask: 0.8111, decode.d6.loss_dice: 1.1209, decode.d7.loss_cls: 0.8586, decode.d7.loss_mask: 0.8103, decode.d7.loss_dice: 1.1234, decode.d8.loss_cls: 0.8541, decode.d8.loss_mask: 0.8102, decode.d8.loss_dice: 1.1225, loss: 31.0947 2022-06-21 17:27:17,841 - mmseg - INFO - Iter [24150/40000] lr: 6.103e-06, eta: 2:24:06, time: 0.490, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8965, decode.loss_mask: 0.7648, decode.loss_dice: 1.1143, decode.d0.loss_cls: 3.1643, decode.d0.loss_mask: 0.8130, decode.d0.loss_dice: 1.2865, decode.d1.loss_cls: 1.2191, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.1869, decode.d2.loss_cls: 1.0251, decode.d2.loss_mask: 0.7826, decode.d2.loss_dice: 1.1388, decode.d3.loss_cls: 0.9662, decode.d3.loss_mask: 0.7754, decode.d3.loss_dice: 1.1225, decode.d4.loss_cls: 0.9348, decode.d4.loss_mask: 0.7709, decode.d4.loss_dice: 1.1237, decode.d5.loss_cls: 0.9199, decode.d5.loss_mask: 0.7689, decode.d5.loss_dice: 1.1226, decode.d6.loss_cls: 0.9049, decode.d6.loss_mask: 0.7696, decode.d6.loss_dice: 1.1141, decode.d7.loss_cls: 0.8983, decode.d7.loss_mask: 0.7673, decode.d7.loss_dice: 1.1219, decode.d8.loss_cls: 0.9015, decode.d8.loss_mask: 0.7671, decode.d8.loss_dice: 1.1119, loss: 31.0484 2022-06-21 17:27:44,334 - mmseg - INFO - Iter [24200/40000] lr: 6.083e-06, eta: 2:23:38, time: 0.529, data_time: 0.061, memory: 40943, decode.loss_cls: 0.9131, decode.loss_mask: 0.7982, decode.loss_dice: 1.1404, decode.d0.loss_cls: 3.1621, decode.d0.loss_mask: 0.8336, decode.d0.loss_dice: 1.3063, decode.d1.loss_cls: 1.2348, decode.d1.loss_mask: 0.8272, decode.d1.loss_dice: 1.2019, decode.d2.loss_cls: 1.0706, decode.d2.loss_mask: 0.8036, decode.d2.loss_dice: 1.1601, decode.d3.loss_cls: 0.9994, decode.d3.loss_mask: 0.7978, decode.d3.loss_dice: 1.1497, decode.d4.loss_cls: 0.9657, decode.d4.loss_mask: 0.7959, decode.d4.loss_dice: 1.1493, decode.d5.loss_cls: 0.9528, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.1393, decode.d6.loss_cls: 0.9494, decode.d6.loss_mask: 0.7926, decode.d6.loss_dice: 1.1399, decode.d7.loss_cls: 0.9249, decode.d7.loss_mask: 0.7984, decode.d7.loss_dice: 1.1416, decode.d8.loss_cls: 0.9230, decode.d8.loss_mask: 0.7957, decode.d8.loss_dice: 1.1376, loss: 31.7944 2022-06-21 17:28:09,147 - mmseg - INFO - Iter [24250/40000] lr: 6.064e-06, eta: 2:23:09, time: 0.497, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8967, decode.loss_mask: 0.8036, decode.loss_dice: 1.1139, decode.d0.loss_cls: 3.1464, decode.d0.loss_mask: 0.8478, decode.d0.loss_dice: 1.3002, decode.d1.loss_cls: 1.2125, decode.d1.loss_mask: 0.8316, decode.d1.loss_dice: 1.1944, decode.d2.loss_cls: 1.0450, decode.d2.loss_mask: 0.8078, decode.d2.loss_dice: 1.1389, decode.d3.loss_cls: 0.9771, decode.d3.loss_mask: 0.8074, decode.d3.loss_dice: 1.1202, decode.d4.loss_cls: 0.9513, decode.d4.loss_mask: 0.8038, decode.d4.loss_dice: 1.1203, decode.d5.loss_cls: 0.9285, decode.d5.loss_mask: 0.8019, decode.d5.loss_dice: 1.1155, decode.d6.loss_cls: 0.9158, decode.d6.loss_mask: 0.8044, decode.d6.loss_dice: 1.1150, decode.d7.loss_cls: 0.9038, decode.d7.loss_mask: 0.8019, decode.d7.loss_dice: 1.1208, decode.d8.loss_cls: 0.8938, decode.d8.loss_mask: 0.8030, decode.d8.loss_dice: 1.1176, loss: 31.4410 2022-06-21 17:28:33,609 - mmseg - INFO - Iter [24300/40000] lr: 6.045e-06, eta: 2:22:40, time: 0.489, data_time: 0.010, memory: 40943, decode.loss_cls: 0.9160, decode.loss_mask: 0.7930, decode.loss_dice: 1.1225, decode.d0.loss_cls: 3.1549, decode.d0.loss_mask: 0.8376, decode.d0.loss_dice: 1.3159, decode.d1.loss_cls: 1.2575, decode.d1.loss_mask: 0.8151, decode.d1.loss_dice: 1.1953, decode.d2.loss_cls: 1.0708, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.1507, decode.d3.loss_cls: 0.9927, decode.d3.loss_mask: 0.7956, decode.d3.loss_dice: 1.1324, decode.d4.loss_cls: 0.9696, decode.d4.loss_mask: 0.7957, decode.d4.loss_dice: 1.1303, decode.d5.loss_cls: 0.9445, decode.d5.loss_mask: 0.7921, decode.d5.loss_dice: 1.1329, decode.d6.loss_cls: 0.9314, decode.d6.loss_mask: 0.7920, decode.d6.loss_dice: 1.1226, decode.d7.loss_cls: 0.9174, decode.d7.loss_mask: 0.7969, decode.d7.loss_dice: 1.1247, decode.d8.loss_cls: 0.9177, decode.d8.loss_mask: 0.7933, decode.d8.loss_dice: 1.1220, loss: 31.6291 2022-06-21 17:28:58,294 - mmseg - INFO - Iter [24350/40000] lr: 6.026e-06, eta: 2:22:11, time: 0.494, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8800, decode.loss_mask: 0.7825, decode.loss_dice: 1.1086, decode.d0.loss_cls: 3.1425, decode.d0.loss_mask: 0.8214, decode.d0.loss_dice: 1.2996, decode.d1.loss_cls: 1.2163, decode.d1.loss_mask: 0.8118, decode.d1.loss_dice: 1.1930, decode.d2.loss_cls: 1.0184, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.1446, decode.d3.loss_cls: 0.9453, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.1277, decode.d4.loss_cls: 0.9257, decode.d4.loss_mask: 0.7830, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.9029, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.1231, decode.d6.loss_cls: 0.8883, decode.d6.loss_mask: 0.7836, decode.d6.loss_dice: 1.1137, decode.d7.loss_cls: 0.8821, decode.d7.loss_mask: 0.7845, decode.d7.loss_dice: 1.1136, decode.d8.loss_cls: 0.8827, decode.d8.loss_mask: 0.7802, decode.d8.loss_dice: 1.1120, loss: 31.0583 2022-06-21 17:29:23,041 - mmseg - INFO - Iter [24400/40000] lr: 6.006e-06, eta: 2:21:42, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9600, decode.loss_mask: 0.7990, decode.loss_dice: 1.1245, decode.d0.loss_cls: 3.2080, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.3034, decode.d1.loss_cls: 1.2752, decode.d1.loss_mask: 0.8294, decode.d1.loss_dice: 1.2046, decode.d2.loss_cls: 1.1128, decode.d2.loss_mask: 0.8067, decode.d2.loss_dice: 1.1393, decode.d3.loss_cls: 1.0503, decode.d3.loss_mask: 0.8071, decode.d3.loss_dice: 1.1327, decode.d4.loss_cls: 1.0124, decode.d4.loss_mask: 0.8064, decode.d4.loss_dice: 1.1304, decode.d5.loss_cls: 0.9916, decode.d5.loss_mask: 0.7987, decode.d5.loss_dice: 1.1237, decode.d6.loss_cls: 0.9816, decode.d6.loss_mask: 0.7975, decode.d6.loss_dice: 1.1160, decode.d7.loss_cls: 0.9731, decode.d7.loss_mask: 0.7964, decode.d7.loss_dice: 1.1197, decode.d8.loss_cls: 0.9592, decode.d8.loss_mask: 0.7967, decode.d8.loss_dice: 1.1246, loss: 32.1193 2022-06-21 17:29:46,721 - mmseg - INFO - Iter [24450/40000] lr: 5.987e-06, eta: 2:21:13, time: 0.474, data_time: 0.008, memory: 40943, decode.loss_cls: 0.8933, decode.loss_mask: 0.7950, decode.loss_dice: 1.1311, decode.d0.loss_cls: 3.1298, decode.d0.loss_mask: 0.8361, decode.d0.loss_dice: 1.3067, decode.d1.loss_cls: 1.2295, decode.d1.loss_mask: 0.8238, decode.d1.loss_dice: 1.2041, decode.d2.loss_cls: 1.0384, decode.d2.loss_mask: 0.8061, decode.d2.loss_dice: 1.1600, decode.d3.loss_cls: 0.9699, decode.d3.loss_mask: 0.7986, decode.d3.loss_dice: 1.1445, decode.d4.loss_cls: 0.9501, decode.d4.loss_mask: 0.7941, decode.d4.loss_dice: 1.1436, decode.d5.loss_cls: 0.9126, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.1446, decode.d6.loss_cls: 0.8964, decode.d6.loss_mask: 0.8001, decode.d6.loss_dice: 1.1365, decode.d7.loss_cls: 0.8877, decode.d7.loss_mask: 0.7957, decode.d7.loss_dice: 1.1363, decode.d8.loss_cls: 0.8887, decode.d8.loss_mask: 0.7966, decode.d8.loss_dice: 1.1301, loss: 31.4772 2022-06-21 17:30:11,241 - mmseg - INFO - Iter [24500/40000] lr: 5.968e-06, eta: 2:20:44, time: 0.490, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9190, decode.loss_mask: 0.8111, decode.loss_dice: 1.1427, decode.d0.loss_cls: 3.1200, decode.d0.loss_mask: 0.8565, decode.d0.loss_dice: 1.3010, decode.d1.loss_cls: 1.2473, decode.d1.loss_mask: 0.8421, decode.d1.loss_dice: 1.2037, decode.d2.loss_cls: 1.0758, decode.d2.loss_mask: 0.8226, decode.d2.loss_dice: 1.1656, decode.d3.loss_cls: 1.0048, decode.d3.loss_mask: 0.8135, decode.d3.loss_dice: 1.1431, decode.d4.loss_cls: 0.9749, decode.d4.loss_mask: 0.8103, decode.d4.loss_dice: 1.1456, decode.d5.loss_cls: 0.9568, decode.d5.loss_mask: 0.8091, decode.d5.loss_dice: 1.1430, decode.d6.loss_cls: 0.9334, decode.d6.loss_mask: 0.8107, decode.d6.loss_dice: 1.1325, decode.d7.loss_cls: 0.9255, decode.d7.loss_mask: 0.8108, decode.d7.loss_dice: 1.1355, decode.d8.loss_cls: 0.9201, decode.d8.loss_mask: 0.8117, decode.d8.loss_dice: 1.1392, loss: 31.9277 2022-06-21 17:30:35,872 - mmseg - INFO - Iter [24550/40000] lr: 5.949e-06, eta: 2:20:15, time: 0.492, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8852, decode.loss_mask: 0.8028, decode.loss_dice: 1.1202, decode.d0.loss_cls: 3.1168, decode.d0.loss_mask: 0.8401, decode.d0.loss_dice: 1.2820, decode.d1.loss_cls: 1.2006, decode.d1.loss_mask: 0.8339, decode.d1.loss_dice: 1.1802, decode.d2.loss_cls: 1.0168, decode.d2.loss_mask: 0.8108, decode.d2.loss_dice: 1.1381, decode.d3.loss_cls: 0.9555, decode.d3.loss_mask: 0.8114, decode.d3.loss_dice: 1.1280, decode.d4.loss_cls: 0.9270, decode.d4.loss_mask: 0.8063, decode.d4.loss_dice: 1.1293, decode.d5.loss_cls: 0.9102, decode.d5.loss_mask: 0.8054, decode.d5.loss_dice: 1.1216, decode.d6.loss_cls: 0.8931, decode.d6.loss_mask: 0.8073, decode.d6.loss_dice: 1.1235, decode.d7.loss_cls: 0.8846, decode.d7.loss_mask: 0.8039, decode.d7.loss_dice: 1.1270, decode.d8.loss_cls: 0.8848, decode.d8.loss_mask: 0.8075, decode.d8.loss_dice: 1.1231, loss: 31.2770 2022-06-21 17:30:59,891 - mmseg - INFO - Iter [24600/40000] lr: 5.929e-06, eta: 2:19:45, time: 0.481, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8754, decode.loss_mask: 0.7911, decode.loss_dice: 1.0867, decode.d0.loss_cls: 3.0479, decode.d0.loss_mask: 0.8294, decode.d0.loss_dice: 1.2566, decode.d1.loss_cls: 1.1833, decode.d1.loss_mask: 0.8133, decode.d1.loss_dice: 1.1504, decode.d2.loss_cls: 1.0186, decode.d2.loss_mask: 0.7993, decode.d2.loss_dice: 1.1055, decode.d3.loss_cls: 0.9465, decode.d3.loss_mask: 0.7977, decode.d3.loss_dice: 1.0920, decode.d4.loss_cls: 0.9223, decode.d4.loss_mask: 0.7957, decode.d4.loss_dice: 1.0957, decode.d5.loss_cls: 0.9032, decode.d5.loss_mask: 0.7936, decode.d5.loss_dice: 1.0946, decode.d6.loss_cls: 0.8912, decode.d6.loss_mask: 0.7935, decode.d6.loss_dice: 1.0886, decode.d7.loss_cls: 0.8819, decode.d7.loss_mask: 0.7959, decode.d7.loss_dice: 1.0869, decode.d8.loss_cls: 0.8808, decode.d8.loss_mask: 0.7915, decode.d8.loss_dice: 1.0883, loss: 30.6974 2022-06-21 17:31:24,313 - mmseg - INFO - Iter [24650/40000] lr: 5.910e-06, eta: 2:19:16, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8487, decode.loss_mask: 0.7907, decode.loss_dice: 1.0983, decode.d0.loss_cls: 3.0140, decode.d0.loss_mask: 0.8358, decode.d0.loss_dice: 1.2690, decode.d1.loss_cls: 1.1821, decode.d1.loss_mask: 0.8142, decode.d1.loss_dice: 1.1627, decode.d2.loss_cls: 0.9810, decode.d2.loss_mask: 0.8011, decode.d2.loss_dice: 1.1272, decode.d3.loss_cls: 0.9202, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.0990, decode.d4.loss_cls: 0.8904, decode.d4.loss_mask: 0.7923, decode.d4.loss_dice: 1.1023, decode.d5.loss_cls: 0.8836, decode.d5.loss_mask: 0.7918, decode.d5.loss_dice: 1.1017, decode.d6.loss_cls: 0.8663, decode.d6.loss_mask: 0.7921, decode.d6.loss_dice: 1.0994, decode.d7.loss_cls: 0.8546, decode.d7.loss_mask: 0.7904, decode.d7.loss_dice: 1.0996, decode.d8.loss_cls: 0.8542, decode.d8.loss_mask: 0.7911, decode.d8.loss_dice: 1.1002, loss: 30.5440 2022-06-21 17:31:48,870 - mmseg - INFO - Iter [24700/40000] lr: 5.891e-06, eta: 2:18:48, time: 0.491, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8565, decode.loss_mask: 0.7919, decode.loss_dice: 1.1243, decode.d0.loss_cls: 3.0893, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.2838, decode.d1.loss_cls: 1.1705, decode.d1.loss_mask: 0.8299, decode.d1.loss_dice: 1.1830, decode.d2.loss_cls: 1.0099, decode.d2.loss_mask: 0.8106, decode.d2.loss_dice: 1.1460, decode.d3.loss_cls: 0.9287, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.1303, decode.d4.loss_cls: 0.9103, decode.d4.loss_mask: 0.7989, decode.d4.loss_dice: 1.1350, decode.d5.loss_cls: 0.8944, decode.d5.loss_mask: 0.7948, decode.d5.loss_dice: 1.1319, decode.d6.loss_cls: 0.8755, decode.d6.loss_mask: 0.7951, decode.d6.loss_dice: 1.1192, decode.d7.loss_cls: 0.8772, decode.d7.loss_mask: 0.7931, decode.d7.loss_dice: 1.1199, decode.d8.loss_cls: 0.8634, decode.d8.loss_mask: 0.7930, decode.d8.loss_dice: 1.1204, loss: 31.0169 2022-06-21 17:32:16,083 - mmseg - INFO - Iter [24750/40000] lr: 5.872e-06, eta: 2:18:20, time: 0.544, data_time: 0.059, memory: 40943, decode.loss_cls: 0.8848, decode.loss_mask: 0.7733, decode.loss_dice: 1.0940, decode.d0.loss_cls: 3.0736, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.2585, decode.d1.loss_cls: 1.1678, decode.d1.loss_mask: 0.7965, decode.d1.loss_dice: 1.1641, decode.d2.loss_cls: 1.0115, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.1202, decode.d3.loss_cls: 0.9480, decode.d3.loss_mask: 0.7735, decode.d3.loss_dice: 1.0977, decode.d4.loss_cls: 0.9211, decode.d4.loss_mask: 0.7741, decode.d4.loss_dice: 1.0996, decode.d5.loss_cls: 0.9066, decode.d5.loss_mask: 0.7723, decode.d5.loss_dice: 1.0953, decode.d6.loss_cls: 0.8971, decode.d6.loss_mask: 0.7715, decode.d6.loss_dice: 1.0921, decode.d7.loss_cls: 0.8798, decode.d7.loss_mask: 0.7755, decode.d7.loss_dice: 1.0935, decode.d8.loss_cls: 0.8869, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.0999, loss: 30.5940 2022-06-21 17:32:40,969 - mmseg - INFO - Iter [24800/40000] lr: 5.852e-06, eta: 2:17:52, time: 0.498, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8668, decode.loss_mask: 0.7979, decode.loss_dice: 1.1283, decode.d0.loss_cls: 3.0415, decode.d0.loss_mask: 0.8393, decode.d0.loss_dice: 1.3102, decode.d1.loss_cls: 1.1646, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.2081, decode.d2.loss_cls: 0.9979, decode.d2.loss_mask: 0.8115, decode.d2.loss_dice: 1.1556, decode.d3.loss_cls: 0.9439, decode.d3.loss_mask: 0.8077, decode.d3.loss_dice: 1.1426, decode.d4.loss_cls: 0.9129, decode.d4.loss_mask: 0.8070, decode.d4.loss_dice: 1.1407, decode.d5.loss_cls: 0.8980, decode.d5.loss_mask: 0.8013, decode.d5.loss_dice: 1.1331, decode.d6.loss_cls: 0.8825, decode.d6.loss_mask: 0.8002, decode.d6.loss_dice: 1.1273, decode.d7.loss_cls: 0.8721, decode.d7.loss_mask: 0.8012, decode.d7.loss_dice: 1.1260, decode.d8.loss_cls: 0.8746, decode.d8.loss_mask: 0.7982, decode.d8.loss_dice: 1.1300, loss: 31.1499 2022-06-21 17:33:05,349 - mmseg - INFO - Iter [24850/40000] lr: 5.833e-06, eta: 2:17:23, time: 0.487, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9266, decode.loss_mask: 0.7890, decode.loss_dice: 1.1260, decode.d0.loss_cls: 3.1612, decode.d0.loss_mask: 0.8409, decode.d0.loss_dice: 1.3158, decode.d1.loss_cls: 1.2611, decode.d1.loss_mask: 0.8174, decode.d1.loss_dice: 1.2040, decode.d2.loss_cls: 1.0642, decode.d2.loss_mask: 0.7986, decode.d2.loss_dice: 1.1508, decode.d3.loss_cls: 0.9899, decode.d3.loss_mask: 0.7922, decode.d3.loss_dice: 1.1305, decode.d4.loss_cls: 0.9654, decode.d4.loss_mask: 0.7913, decode.d4.loss_dice: 1.1395, decode.d5.loss_cls: 0.9462, decode.d5.loss_mask: 0.7918, decode.d5.loss_dice: 1.1326, decode.d6.loss_cls: 0.9301, decode.d6.loss_mask: 0.7869, decode.d6.loss_dice: 1.1258, decode.d7.loss_cls: 0.9214, decode.d7.loss_mask: 0.7868, decode.d7.loss_dice: 1.1297, decode.d8.loss_cls: 0.9250, decode.d8.loss_mask: 0.7845, decode.d8.loss_dice: 1.1290, loss: 31.6540 2022-06-21 17:33:29,482 - mmseg - INFO - Iter [24900/40000] lr: 5.814e-06, eta: 2:16:54, time: 0.483, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8681, decode.loss_mask: 0.7660, decode.loss_dice: 1.0998, decode.d0.loss_cls: 3.1584, decode.d0.loss_mask: 0.8111, decode.d0.loss_dice: 1.2817, decode.d1.loss_cls: 1.1982, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.1684, decode.d2.loss_cls: 1.0134, decode.d2.loss_mask: 0.7740, decode.d2.loss_dice: 1.1294, decode.d3.loss_cls: 0.9501, decode.d3.loss_mask: 0.7680, decode.d3.loss_dice: 1.1140, decode.d4.loss_cls: 0.9217, decode.d4.loss_mask: 0.7646, decode.d4.loss_dice: 1.1133, decode.d5.loss_cls: 0.9036, decode.d5.loss_mask: 0.7640, decode.d5.loss_dice: 1.1066, decode.d6.loss_cls: 0.8832, decode.d6.loss_mask: 0.7637, decode.d6.loss_dice: 1.1054, decode.d7.loss_cls: 0.8773, decode.d7.loss_mask: 0.7612, decode.d7.loss_dice: 1.0985, decode.d8.loss_cls: 0.8704, decode.d8.loss_mask: 0.7620, decode.d8.loss_dice: 1.1019, loss: 30.6942 2022-06-21 17:33:54,396 - mmseg - INFO - Iter [24950/40000] lr: 5.795e-06, eta: 2:16:25, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8864, decode.loss_mask: 0.7964, decode.loss_dice: 1.0898, decode.d0.loss_cls: 3.1057, decode.d0.loss_mask: 0.8321, decode.d0.loss_dice: 1.2669, decode.d1.loss_cls: 1.2102, decode.d1.loss_mask: 0.8207, decode.d1.loss_dice: 1.1542, decode.d2.loss_cls: 1.0139, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.1117, decode.d3.loss_cls: 0.9464, decode.d3.loss_mask: 0.7991, decode.d3.loss_dice: 1.0961, decode.d4.loss_cls: 0.9225, decode.d4.loss_mask: 0.7973, decode.d4.loss_dice: 1.0968, decode.d5.loss_cls: 0.9133, decode.d5.loss_mask: 0.7964, decode.d5.loss_dice: 1.0886, decode.d6.loss_cls: 0.8890, decode.d6.loss_mask: 0.7984, decode.d6.loss_dice: 1.0895, decode.d7.loss_cls: 0.8959, decode.d7.loss_mask: 0.7947, decode.d7.loss_dice: 1.0877, decode.d8.loss_cls: 0.8904, decode.d8.loss_mask: 0.7953, decode.d8.loss_dice: 1.0889, loss: 30.8788 2022-06-21 17:34:19,332 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-06-21 17:34:22,826 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:34:22,826 - mmseg - INFO - Iter [25000/40000] lr: 5.775e-06, eta: 2:15:59, time: 0.569, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8407, decode.loss_mask: 0.7906, decode.loss_dice: 1.0777, decode.d0.loss_cls: 3.0877, decode.d0.loss_mask: 0.8331, decode.d0.loss_dice: 1.2445, decode.d1.loss_cls: 1.1675, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.1530, decode.d2.loss_cls: 0.9692, decode.d2.loss_mask: 0.7962, decode.d2.loss_dice: 1.0981, decode.d3.loss_cls: 0.8976, decode.d3.loss_mask: 0.7950, decode.d3.loss_dice: 1.0899, decode.d4.loss_cls: 0.8788, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.0846, decode.d5.loss_cls: 0.8526, decode.d5.loss_mask: 0.7927, decode.d5.loss_dice: 1.0861, decode.d6.loss_cls: 0.8421, decode.d6.loss_mask: 0.7944, decode.d6.loss_dice: 1.0835, decode.d7.loss_cls: 0.8404, decode.d7.loss_mask: 0.7894, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.8437, decode.d8.loss_mask: 0.7874, decode.d8.loss_dice: 1.0801, loss: 30.2869 2022-06-21 17:34:48,239 - mmseg - INFO - Iter [25050/40000] lr: 5.756e-06, eta: 2:15:30, time: 0.507, data_time: 0.008, memory: 40943, decode.loss_cls: 0.8596, decode.loss_mask: 0.7933, decode.loss_dice: 1.1114, decode.d0.loss_cls: 3.1229, decode.d0.loss_mask: 0.8417, decode.d0.loss_dice: 1.2898, decode.d1.loss_cls: 1.2082, decode.d1.loss_mask: 0.8144, decode.d1.loss_dice: 1.1811, decode.d2.loss_cls: 1.0231, decode.d2.loss_mask: 0.7919, decode.d2.loss_dice: 1.1298, decode.d3.loss_cls: 0.9480, decode.d3.loss_mask: 0.7935, decode.d3.loss_dice: 1.1153, decode.d4.loss_cls: 0.9160, decode.d4.loss_mask: 0.7960, decode.d4.loss_dice: 1.1112, decode.d5.loss_cls: 0.8973, decode.d5.loss_mask: 0.7890, decode.d5.loss_dice: 1.1101, decode.d6.loss_cls: 0.8853, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.1027, decode.d7.loss_cls: 0.8744, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.1099, decode.d8.loss_cls: 0.8700, decode.d8.loss_mask: 0.7918, decode.d8.loss_dice: 1.1026, loss: 30.9699 2022-06-21 17:35:13,670 - mmseg - INFO - Iter [25100/40000] lr: 5.737e-06, eta: 2:15:02, time: 0.509, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8956, decode.loss_mask: 0.7708, decode.loss_dice: 1.1185, decode.d0.loss_cls: 3.1629, decode.d0.loss_mask: 0.8107, decode.d0.loss_dice: 1.2925, decode.d1.loss_cls: 1.2217, decode.d1.loss_mask: 0.7987, decode.d1.loss_dice: 1.1866, decode.d2.loss_cls: 1.0463, decode.d2.loss_mask: 0.7775, decode.d2.loss_dice: 1.1482, decode.d3.loss_cls: 0.9771, decode.d3.loss_mask: 0.7758, decode.d3.loss_dice: 1.1276, decode.d4.loss_cls: 0.9450, decode.d4.loss_mask: 0.7748, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.9260, decode.d5.loss_mask: 0.7711, decode.d5.loss_dice: 1.1236, decode.d6.loss_cls: 0.9108, decode.d6.loss_mask: 0.7709, decode.d6.loss_dice: 1.1145, decode.d7.loss_cls: 0.8978, decode.d7.loss_mask: 0.7678, decode.d7.loss_dice: 1.1191, decode.d8.loss_cls: 0.8933, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.1180, loss: 31.1398 2022-06-21 17:35:38,095 - mmseg - INFO - Iter [25150/40000] lr: 5.718e-06, eta: 2:14:33, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8345, decode.loss_mask: 0.7929, decode.loss_dice: 1.0817, decode.d0.loss_cls: 3.0363, decode.d0.loss_mask: 0.8382, decode.d0.loss_dice: 1.2568, decode.d1.loss_cls: 1.1442, decode.d1.loss_mask: 0.8239, decode.d1.loss_dice: 1.1503, decode.d2.loss_cls: 0.9755, decode.d2.loss_mask: 0.8071, decode.d2.loss_dice: 1.1064, decode.d3.loss_cls: 0.9119, decode.d3.loss_mask: 0.7995, decode.d3.loss_dice: 1.0896, decode.d4.loss_cls: 0.8818, decode.d4.loss_mask: 0.7984, decode.d4.loss_dice: 1.0938, decode.d5.loss_cls: 0.8671, decode.d5.loss_mask: 0.7939, decode.d5.loss_dice: 1.0859, decode.d6.loss_cls: 0.8520, decode.d6.loss_mask: 0.7946, decode.d6.loss_dice: 1.0767, decode.d7.loss_cls: 0.8420, decode.d7.loss_mask: 0.7960, decode.d7.loss_dice: 1.0831, decode.d8.loss_cls: 0.8294, decode.d8.loss_mask: 0.7965, decode.d8.loss_dice: 1.0818, loss: 30.3219 2022-06-21 17:36:04,280 - mmseg - INFO - Iter [25200/40000] lr: 5.698e-06, eta: 2:14:06, time: 0.523, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8576, decode.loss_mask: 0.8107, decode.loss_dice: 1.1234, decode.d0.loss_cls: 3.0586, decode.d0.loss_mask: 0.8421, decode.d0.loss_dice: 1.2777, decode.d1.loss_cls: 1.1897, decode.d1.loss_mask: 0.8340, decode.d1.loss_dice: 1.1885, decode.d2.loss_cls: 0.9987, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.1463, decode.d3.loss_cls: 0.9387, decode.d3.loss_mask: 0.8104, decode.d3.loss_dice: 1.1357, decode.d4.loss_cls: 0.9176, decode.d4.loss_mask: 0.8135, decode.d4.loss_dice: 1.1256, decode.d5.loss_cls: 0.8974, decode.d5.loss_mask: 0.8127, decode.d5.loss_dice: 1.1248, decode.d6.loss_cls: 0.8685, decode.d6.loss_mask: 0.8121, decode.d6.loss_dice: 1.1240, decode.d7.loss_cls: 0.8660, decode.d7.loss_mask: 0.8133, decode.d7.loss_dice: 1.1284, decode.d8.loss_cls: 0.8602, decode.d8.loss_mask: 0.8139, decode.d8.loss_dice: 1.1222, loss: 31.1263 2022-06-21 17:36:30,620 - mmseg - INFO - Iter [25250/40000] lr: 5.679e-06, eta: 2:13:38, time: 0.527, data_time: 0.011, memory: 40943, decode.loss_cls: 0.9420, decode.loss_mask: 0.7889, decode.loss_dice: 1.1163, decode.d0.loss_cls: 3.1722, decode.d0.loss_mask: 0.8412, decode.d0.loss_dice: 1.3041, decode.d1.loss_cls: 1.2693, decode.d1.loss_mask: 0.8204, decode.d1.loss_dice: 1.1955, decode.d2.loss_cls: 1.0905, decode.d2.loss_mask: 0.8050, decode.d2.loss_dice: 1.1476, decode.d3.loss_cls: 1.0225, decode.d3.loss_mask: 0.8015, decode.d3.loss_dice: 1.1296, decode.d4.loss_cls: 0.9932, decode.d4.loss_mask: 0.7981, decode.d4.loss_dice: 1.1253, decode.d5.loss_cls: 0.9653, decode.d5.loss_mask: 0.8011, decode.d5.loss_dice: 1.1260, decode.d6.loss_cls: 0.9509, decode.d6.loss_mask: 0.7970, decode.d6.loss_dice: 1.1191, decode.d7.loss_cls: 0.9409, decode.d7.loss_mask: 0.7928, decode.d7.loss_dice: 1.1207, decode.d8.loss_cls: 0.9463, decode.d8.loss_mask: 0.7913, decode.d8.loss_dice: 1.1200, loss: 31.8347 2022-06-21 17:36:58,464 - mmseg - INFO - Iter [25300/40000] lr: 5.660e-06, eta: 2:13:11, time: 0.557, data_time: 0.059, memory: 40943, decode.loss_cls: 0.9236, decode.loss_mask: 0.7758, decode.loss_dice: 1.0878, decode.d0.loss_cls: 3.1950, decode.d0.loss_mask: 0.8153, decode.d0.loss_dice: 1.2652, decode.d1.loss_cls: 1.2533, decode.d1.loss_mask: 0.7973, decode.d1.loss_dice: 1.1569, decode.d2.loss_cls: 1.0682, decode.d2.loss_mask: 0.7839, decode.d2.loss_dice: 1.1135, decode.d3.loss_cls: 0.9896, decode.d3.loss_mask: 0.7781, decode.d3.loss_dice: 1.0913, decode.d4.loss_cls: 0.9719, decode.d4.loss_mask: 0.7782, decode.d4.loss_dice: 1.0986, decode.d5.loss_cls: 0.9480, decode.d5.loss_mask: 0.7769, decode.d5.loss_dice: 1.0891, decode.d6.loss_cls: 0.9389, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.0873, decode.d7.loss_cls: 0.9298, decode.d7.loss_mask: 0.7770, decode.d7.loss_dice: 1.0918, decode.d8.loss_cls: 0.9289, decode.d8.loss_mask: 0.7790, decode.d8.loss_dice: 1.0832, loss: 31.1437 2022-06-21 17:37:24,154 - mmseg - INFO - Iter [25350/40000] lr: 5.641e-06, eta: 2:12:43, time: 0.513, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8856, decode.loss_mask: 0.7846, decode.loss_dice: 1.1206, decode.d0.loss_cls: 3.0943, decode.d0.loss_mask: 0.8332, decode.d0.loss_dice: 1.2899, decode.d1.loss_cls: 1.2007, decode.d1.loss_mask: 0.8153, decode.d1.loss_dice: 1.1921, decode.d2.loss_cls: 1.0255, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.1381, decode.d3.loss_cls: 0.9595, decode.d3.loss_mask: 0.7951, decode.d3.loss_dice: 1.1293, decode.d4.loss_cls: 0.9297, decode.d4.loss_mask: 0.7935, decode.d4.loss_dice: 1.1321, decode.d5.loss_cls: 0.9045, decode.d5.loss_mask: 0.7943, decode.d5.loss_dice: 1.1219, decode.d6.loss_cls: 0.9006, decode.d6.loss_mask: 0.7908, decode.d6.loss_dice: 1.1188, decode.d7.loss_cls: 0.8911, decode.d7.loss_mask: 0.7865, decode.d7.loss_dice: 1.1182, decode.d8.loss_cls: 0.8861, decode.d8.loss_mask: 0.7867, decode.d8.loss_dice: 1.1208, loss: 31.1354 2022-06-21 17:37:49,912 - mmseg - INFO - Iter [25400/40000] lr: 5.621e-06, eta: 2:12:15, time: 0.516, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8507, decode.loss_mask: 0.7636, decode.loss_dice: 1.1008, decode.d0.loss_cls: 3.1269, decode.d0.loss_mask: 0.8015, decode.d0.loss_dice: 1.2773, decode.d1.loss_cls: 1.1762, decode.d1.loss_mask: 0.7973, decode.d1.loss_dice: 1.1710, decode.d2.loss_cls: 0.9905, decode.d2.loss_mask: 0.7795, decode.d2.loss_dice: 1.1208, decode.d3.loss_cls: 0.9179, decode.d3.loss_mask: 0.7719, decode.d3.loss_dice: 1.1139, decode.d4.loss_cls: 0.8903, decode.d4.loss_mask: 0.7682, decode.d4.loss_dice: 1.1086, decode.d5.loss_cls: 0.8660, decode.d5.loss_mask: 0.7698, decode.d5.loss_dice: 1.1076, decode.d6.loss_cls: 0.8622, decode.d6.loss_mask: 0.7702, decode.d6.loss_dice: 1.1032, decode.d7.loss_cls: 0.8549, decode.d7.loss_mask: 0.7659, decode.d7.loss_dice: 1.1072, decode.d8.loss_cls: 0.8490, decode.d8.loss_mask: 0.7669, decode.d8.loss_dice: 1.1083, loss: 30.4580 2022-06-21 17:38:15,447 - mmseg - INFO - Iter [25450/40000] lr: 5.602e-06, eta: 2:11:47, time: 0.510, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8940, decode.loss_mask: 0.7792, decode.loss_dice: 1.1125, decode.d0.loss_cls: 3.1662, decode.d0.loss_mask: 0.8295, decode.d0.loss_dice: 1.2881, decode.d1.loss_cls: 1.2188, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.1806, decode.d2.loss_cls: 1.0311, decode.d2.loss_mask: 0.7901, decode.d2.loss_dice: 1.1302, decode.d3.loss_cls: 0.9708, decode.d3.loss_mask: 0.7873, decode.d3.loss_dice: 1.1121, decode.d4.loss_cls: 0.9304, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.1121, decode.d5.loss_cls: 0.9152, decode.d5.loss_mask: 0.7851, decode.d5.loss_dice: 1.1147, decode.d6.loss_cls: 0.9080, decode.d6.loss_mask: 0.7790, decode.d6.loss_dice: 1.1093, decode.d7.loss_cls: 0.8965, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.1108, decode.d8.loss_cls: 0.8991, decode.d8.loss_mask: 0.7766, decode.d8.loss_dice: 1.1088, loss: 31.1086 2022-06-21 17:38:41,854 - mmseg - INFO - Iter [25500/40000] lr: 5.583e-06, eta: 2:11:19, time: 0.528, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8507, decode.loss_mask: 0.7745, decode.loss_dice: 1.0982, decode.d0.loss_cls: 3.1243, decode.d0.loss_mask: 0.8066, decode.d0.loss_dice: 1.2714, decode.d1.loss_cls: 1.1808, decode.d1.loss_mask: 0.7988, decode.d1.loss_dice: 1.1678, decode.d2.loss_cls: 0.9906, decode.d2.loss_mask: 0.7819, decode.d2.loss_dice: 1.1247, decode.d3.loss_cls: 0.9317, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1062, decode.d4.loss_cls: 0.8969, decode.d4.loss_mask: 0.7765, decode.d4.loss_dice: 1.1096, decode.d5.loss_cls: 0.8828, decode.d5.loss_mask: 0.7724, decode.d5.loss_dice: 1.1013, decode.d6.loss_cls: 0.8676, decode.d6.loss_mask: 0.7719, decode.d6.loss_dice: 1.0950, decode.d7.loss_cls: 0.8628, decode.d7.loss_mask: 0.7723, decode.d7.loss_dice: 1.0940, decode.d8.loss_cls: 0.8497, decode.d8.loss_mask: 0.7753, decode.d8.loss_dice: 1.0958, loss: 30.5068 2022-06-21 17:39:07,199 - mmseg - INFO - Iter [25550/40000] lr: 5.564e-06, eta: 2:10:51, time: 0.507, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8826, decode.loss_mask: 0.7839, decode.loss_dice: 1.1039, decode.d0.loss_cls: 3.1128, decode.d0.loss_mask: 0.8268, decode.d0.loss_dice: 1.2681, decode.d1.loss_cls: 1.2173, decode.d1.loss_mask: 0.8134, decode.d1.loss_dice: 1.1677, decode.d2.loss_cls: 1.0208, decode.d2.loss_mask: 0.7967, decode.d2.loss_dice: 1.1144, decode.d3.loss_cls: 0.9584, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.1050, decode.d4.loss_cls: 0.9370, decode.d4.loss_mask: 0.7848, decode.d4.loss_dice: 1.1093, decode.d5.loss_cls: 0.9192, decode.d5.loss_mask: 0.7865, decode.d5.loss_dice: 1.1077, decode.d6.loss_cls: 0.8972, decode.d6.loss_mask: 0.7884, decode.d6.loss_dice: 1.1062, decode.d7.loss_cls: 0.8882, decode.d7.loss_mask: 0.7857, decode.d7.loss_dice: 1.1063, decode.d8.loss_cls: 0.8874, decode.d8.loss_mask: 0.7835, decode.d8.loss_dice: 1.1048, loss: 30.9564 2022-06-21 17:39:31,650 - mmseg - INFO - Iter [25600/40000] lr: 5.544e-06, eta: 2:10:22, time: 0.489, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9102, decode.loss_mask: 0.8058, decode.loss_dice: 1.1415, decode.d0.loss_cls: 3.2037, decode.d0.loss_mask: 0.8592, decode.d0.loss_dice: 1.3332, decode.d1.loss_cls: 1.2624, decode.d1.loss_mask: 0.8434, decode.d1.loss_dice: 1.2234, decode.d2.loss_cls: 1.0593, decode.d2.loss_mask: 0.8163, decode.d2.loss_dice: 1.1759, decode.d3.loss_cls: 0.9872, decode.d3.loss_mask: 0.8150, decode.d3.loss_dice: 1.1581, decode.d4.loss_cls: 0.9580, decode.d4.loss_mask: 0.8065, decode.d4.loss_dice: 1.1527, decode.d5.loss_cls: 0.9452, decode.d5.loss_mask: 0.8057, decode.d5.loss_dice: 1.1422, decode.d6.loss_cls: 0.9283, decode.d6.loss_mask: 0.8003, decode.d6.loss_dice: 1.1404, decode.d7.loss_cls: 0.9204, decode.d7.loss_mask: 0.8039, decode.d7.loss_dice: 1.1459, decode.d8.loss_cls: 0.9188, decode.d8.loss_mask: 0.8041, decode.d8.loss_dice: 1.1412, loss: 32.0081 2022-06-21 17:39:55,875 - mmseg - INFO - Iter [25650/40000] lr: 5.525e-06, eta: 2:09:54, time: 0.484, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9183, decode.loss_mask: 0.7740, decode.loss_dice: 1.1149, decode.d0.loss_cls: 3.1433, decode.d0.loss_mask: 0.8147, decode.d0.loss_dice: 1.3032, decode.d1.loss_cls: 1.2219, decode.d1.loss_mask: 0.8055, decode.d1.loss_dice: 1.1985, decode.d2.loss_cls: 1.0470, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.1459, decode.d3.loss_cls: 0.9786, decode.d3.loss_mask: 0.7809, decode.d3.loss_dice: 1.1241, decode.d4.loss_cls: 0.9514, decode.d4.loss_mask: 0.7799, decode.d4.loss_dice: 1.1348, decode.d5.loss_cls: 0.9334, decode.d5.loss_mask: 0.7767, decode.d5.loss_dice: 1.1296, decode.d6.loss_cls: 0.9245, decode.d6.loss_mask: 0.7755, decode.d6.loss_dice: 1.1233, decode.d7.loss_cls: 0.9168, decode.d7.loss_mask: 0.7760, decode.d7.loss_dice: 1.1216, decode.d8.loss_cls: 0.9132, decode.d8.loss_mask: 0.7748, decode.d8.loss_dice: 1.1168, loss: 31.3038 2022-06-21 17:40:20,537 - mmseg - INFO - Iter [25700/40000] lr: 5.506e-06, eta: 2:09:25, time: 0.493, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8704, decode.loss_mask: 0.7578, decode.loss_dice: 1.0932, decode.d0.loss_cls: 3.0953, decode.d0.loss_mask: 0.8144, decode.d0.loss_dice: 1.2875, decode.d1.loss_cls: 1.1873, decode.d1.loss_mask: 0.7938, decode.d1.loss_dice: 1.1710, decode.d2.loss_cls: 1.0183, decode.d2.loss_mask: 0.7742, decode.d2.loss_dice: 1.1277, decode.d3.loss_cls: 0.9487, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.1126, decode.d4.loss_cls: 0.9207, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.1114, decode.d5.loss_cls: 0.8899, decode.d5.loss_mask: 0.7671, decode.d5.loss_dice: 1.1078, decode.d6.loss_cls: 0.8920, decode.d6.loss_mask: 0.7615, decode.d6.loss_dice: 1.0967, decode.d7.loss_cls: 0.8725, decode.d7.loss_mask: 0.7573, decode.d7.loss_dice: 1.0957, decode.d8.loss_cls: 0.8765, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.0981, loss: 30.5879 2022-06-21 17:40:45,407 - mmseg - INFO - Iter [25750/40000] lr: 5.487e-06, eta: 2:08:57, time: 0.498, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8489, decode.loss_mask: 0.8227, decode.loss_dice: 1.1029, decode.d0.loss_cls: 3.0380, decode.d0.loss_mask: 0.8752, decode.d0.loss_dice: 1.2777, decode.d1.loss_cls: 1.1763, decode.d1.loss_mask: 0.8519, decode.d1.loss_dice: 1.1665, decode.d2.loss_cls: 0.9923, decode.d2.loss_mask: 0.8365, decode.d2.loss_dice: 1.1202, decode.d3.loss_cls: 0.9308, decode.d3.loss_mask: 0.8312, decode.d3.loss_dice: 1.1108, decode.d4.loss_cls: 0.9038, decode.d4.loss_mask: 0.8356, decode.d4.loss_dice: 1.1096, decode.d5.loss_cls: 0.8751, decode.d5.loss_mask: 0.8298, decode.d5.loss_dice: 1.1105, decode.d6.loss_cls: 0.8731, decode.d6.loss_mask: 0.8262, decode.d6.loss_dice: 1.1004, decode.d7.loss_cls: 0.8643, decode.d7.loss_mask: 0.8217, decode.d7.loss_dice: 1.1073, decode.d8.loss_cls: 0.8488, decode.d8.loss_mask: 0.8252, decode.d8.loss_dice: 1.1091, loss: 31.0222 2022-06-21 17:41:10,532 - mmseg - INFO - Iter [25800/40000] lr: 5.467e-06, eta: 2:08:28, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8794, decode.loss_mask: 0.7955, decode.loss_dice: 1.1151, decode.d0.loss_cls: 3.0409, decode.d0.loss_mask: 0.8401, decode.d0.loss_dice: 1.2859, decode.d1.loss_cls: 1.1876, decode.d1.loss_mask: 0.8336, decode.d1.loss_dice: 1.1800, decode.d2.loss_cls: 1.0312, decode.d2.loss_mask: 0.8072, decode.d2.loss_dice: 1.1376, decode.d3.loss_cls: 0.9410, decode.d3.loss_mask: 0.8081, decode.d3.loss_dice: 1.1191, decode.d4.loss_cls: 0.9208, decode.d4.loss_mask: 0.8086, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.8959, decode.d5.loss_mask: 0.8041, decode.d5.loss_dice: 1.1197, decode.d6.loss_cls: 0.8797, decode.d6.loss_mask: 0.8048, decode.d6.loss_dice: 1.1146, decode.d7.loss_cls: 0.8788, decode.d7.loss_mask: 0.8017, decode.d7.loss_dice: 1.1162, decode.d8.loss_cls: 0.8698, decode.d8.loss_mask: 0.8012, decode.d8.loss_dice: 1.1209, loss: 31.0654 2022-06-21 17:41:34,886 - mmseg - INFO - Iter [25850/40000] lr: 5.448e-06, eta: 2:08:00, time: 0.488, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8256, decode.loss_mask: 0.7835, decode.loss_dice: 1.1365, decode.d0.loss_cls: 3.0731, decode.d0.loss_mask: 0.8199, decode.d0.loss_dice: 1.3005, decode.d1.loss_cls: 1.1382, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.1992, decode.d2.loss_cls: 0.9660, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.1565, decode.d3.loss_cls: 0.9095, decode.d3.loss_mask: 0.7795, decode.d3.loss_dice: 1.1432, decode.d4.loss_cls: 0.8811, decode.d4.loss_mask: 0.7826, decode.d4.loss_dice: 1.1417, decode.d5.loss_cls: 0.8588, decode.d5.loss_mask: 0.7837, decode.d5.loss_dice: 1.1488, decode.d6.loss_cls: 0.8445, decode.d6.loss_mask: 0.7858, decode.d6.loss_dice: 1.1363, decode.d7.loss_cls: 0.8336, decode.d7.loss_mask: 0.7847, decode.d7.loss_dice: 1.1370, decode.d8.loss_cls: 0.8309, decode.d8.loss_mask: 0.7808, decode.d8.loss_dice: 1.1347, loss: 30.6851 2022-06-21 17:42:02,643 - mmseg - INFO - Iter [25900/40000] lr: 5.429e-06, eta: 2:07:33, time: 0.555, data_time: 0.057, memory: 40943, decode.loss_cls: 0.7925, decode.loss_mask: 0.7931, decode.loss_dice: 1.0990, decode.d0.loss_cls: 3.0352, decode.d0.loss_mask: 0.8403, decode.d0.loss_dice: 1.2500, decode.d1.loss_cls: 1.1093, decode.d1.loss_mask: 0.8214, decode.d1.loss_dice: 1.1526, decode.d2.loss_cls: 0.9294, decode.d2.loss_mask: 0.8028, decode.d2.loss_dice: 1.1129, decode.d3.loss_cls: 0.8618, decode.d3.loss_mask: 0.7970, decode.d3.loss_dice: 1.1024, decode.d4.loss_cls: 0.8353, decode.d4.loss_mask: 0.7973, decode.d4.loss_dice: 1.1032, decode.d5.loss_cls: 0.8130, decode.d5.loss_mask: 0.7947, decode.d5.loss_dice: 1.1006, decode.d6.loss_cls: 0.8021, decode.d6.loss_mask: 0.7918, decode.d6.loss_dice: 1.0966, decode.d7.loss_cls: 0.7920, decode.d7.loss_mask: 0.7948, decode.d7.loss_dice: 1.0999, decode.d8.loss_cls: 0.7870, decode.d8.loss_mask: 0.7927, decode.d8.loss_dice: 1.0971, loss: 29.9978 2022-06-21 17:42:27,448 - mmseg - INFO - Iter [25950/40000] lr: 5.410e-06, eta: 2:07:05, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8339, decode.loss_mask: 0.7734, decode.loss_dice: 1.1047, decode.d0.loss_cls: 3.0621, decode.d0.loss_mask: 0.8132, decode.d0.loss_dice: 1.2844, decode.d1.loss_cls: 1.1685, decode.d1.loss_mask: 0.8031, decode.d1.loss_dice: 1.1779, decode.d2.loss_cls: 0.9857, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.1269, decode.d3.loss_cls: 0.9050, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.1180, decode.d4.loss_cls: 0.8813, decode.d4.loss_mask: 0.7762, decode.d4.loss_dice: 1.1180, decode.d5.loss_cls: 0.8611, decode.d5.loss_mask: 0.7755, decode.d5.loss_dice: 1.1108, decode.d6.loss_cls: 0.8493, decode.d6.loss_mask: 0.7725, decode.d6.loss_dice: 1.1050, decode.d7.loss_cls: 0.8439, decode.d7.loss_mask: 0.7739, decode.d7.loss_dice: 1.1058, decode.d8.loss_cls: 0.8315, decode.d8.loss_mask: 0.7721, decode.d8.loss_dice: 1.1066, loss: 30.4008 2022-06-21 17:42:52,849 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-06-21 17:42:59,567 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:42:59,567 - mmseg - INFO - Iter [26000/40000] lr: 5.390e-06, eta: 2:06:40, time: 0.642, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8299, decode.loss_mask: 0.7837, decode.loss_dice: 1.0953, decode.d0.loss_cls: 2.9897, decode.d0.loss_mask: 0.8270, decode.d0.loss_dice: 1.2594, decode.d1.loss_cls: 1.1667, decode.d1.loss_mask: 0.8157, decode.d1.loss_dice: 1.1633, decode.d2.loss_cls: 0.9702, decode.d2.loss_mask: 0.7987, decode.d2.loss_dice: 1.1330, decode.d3.loss_cls: 0.8976, decode.d3.loss_mask: 0.7983, decode.d3.loss_dice: 1.1120, decode.d4.loss_cls: 0.8724, decode.d4.loss_mask: 0.7946, decode.d4.loss_dice: 1.1124, decode.d5.loss_cls: 0.8519, decode.d5.loss_mask: 0.7920, decode.d5.loss_dice: 1.1030, decode.d6.loss_cls: 0.8525, decode.d6.loss_mask: 0.7872, decode.d6.loss_dice: 1.0954, decode.d7.loss_cls: 0.8384, decode.d7.loss_mask: 0.7869, decode.d7.loss_dice: 1.0980, decode.d8.loss_cls: 0.8270, decode.d8.loss_mask: 0.7873, decode.d8.loss_dice: 1.0962, loss: 30.3356 2022-06-21 17:43:25,237 - mmseg - INFO - Iter [26050/40000] lr: 5.371e-06, eta: 2:06:12, time: 0.514, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8721, decode.loss_mask: 0.7956, decode.loss_dice: 1.1171, decode.d0.loss_cls: 3.1089, decode.d0.loss_mask: 0.8491, decode.d0.loss_dice: 1.3037, decode.d1.loss_cls: 1.1949, decode.d1.loss_mask: 0.8294, decode.d1.loss_dice: 1.1931, decode.d2.loss_cls: 1.0151, decode.d2.loss_mask: 0.8074, decode.d2.loss_dice: 1.1448, decode.d3.loss_cls: 0.9410, decode.d3.loss_mask: 0.8024, decode.d3.loss_dice: 1.1291, decode.d4.loss_cls: 0.9207, decode.d4.loss_mask: 0.8041, decode.d4.loss_dice: 1.1311, decode.d5.loss_cls: 0.9070, decode.d5.loss_mask: 0.8009, decode.d5.loss_dice: 1.1236, decode.d6.loss_cls: 0.8917, decode.d6.loss_mask: 0.7979, decode.d6.loss_dice: 1.1219, decode.d7.loss_cls: 0.8848, decode.d7.loss_mask: 0.7974, decode.d7.loss_dice: 1.1249, decode.d8.loss_cls: 0.8771, decode.d8.loss_mask: 0.7949, decode.d8.loss_dice: 1.1161, loss: 31.1976 2022-06-21 17:43:50,870 - mmseg - INFO - Iter [26100/40000] lr: 5.352e-06, eta: 2:05:44, time: 0.513, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8559, decode.loss_mask: 0.8016, decode.loss_dice: 1.1257, decode.d0.loss_cls: 3.1183, decode.d0.loss_mask: 0.8391, decode.d0.loss_dice: 1.2924, decode.d1.loss_cls: 1.1957, decode.d1.loss_mask: 0.8276, decode.d1.loss_dice: 1.1869, decode.d2.loss_cls: 1.0070, decode.d2.loss_mask: 0.8108, decode.d2.loss_dice: 1.1396, decode.d3.loss_cls: 0.9339, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.1266, decode.d4.loss_cls: 0.9067, decode.d4.loss_mask: 0.8054, decode.d4.loss_dice: 1.1256, decode.d5.loss_cls: 0.8793, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.1226, decode.d6.loss_cls: 0.8685, decode.d6.loss_mask: 0.8044, decode.d6.loss_dice: 1.1205, decode.d7.loss_cls: 0.8614, decode.d7.loss_mask: 0.8011, decode.d7.loss_dice: 1.1204, decode.d8.loss_cls: 0.8523, decode.d8.loss_mask: 0.8031, decode.d8.loss_dice: 1.1180, loss: 31.0628 2022-06-21 17:44:16,956 - mmseg - INFO - Iter [26150/40000] lr: 5.333e-06, eta: 2:05:17, time: 0.521, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8616, decode.loss_mask: 0.7604, decode.loss_dice: 1.0982, decode.d0.loss_cls: 3.1474, decode.d0.loss_mask: 0.7989, decode.d0.loss_dice: 1.2713, decode.d1.loss_cls: 1.1981, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.1675, decode.d2.loss_cls: 1.0101, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.1281, decode.d3.loss_cls: 0.9403, decode.d3.loss_mask: 0.7660, decode.d3.loss_dice: 1.1110, decode.d4.loss_cls: 0.9110, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.1167, decode.d5.loss_cls: 0.8973, decode.d5.loss_mask: 0.7568, decode.d5.loss_dice: 1.1100, decode.d6.loss_cls: 0.8764, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.1002, decode.d7.loss_cls: 0.8632, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.1022, decode.d8.loss_cls: 0.8610, decode.d8.loss_mask: 0.7593, decode.d8.loss_dice: 1.1013, loss: 30.5488 2022-06-21 17:44:43,460 - mmseg - INFO - Iter [26200/40000] lr: 5.313e-06, eta: 2:04:49, time: 0.531, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8570, decode.loss_mask: 0.7859, decode.loss_dice: 1.1057, decode.d0.loss_cls: 3.0778, decode.d0.loss_mask: 0.8413, decode.d0.loss_dice: 1.2887, decode.d1.loss_cls: 1.1771, decode.d1.loss_mask: 0.8167, decode.d1.loss_dice: 1.1879, decode.d2.loss_cls: 0.9980, decode.d2.loss_mask: 0.7971, decode.d2.loss_dice: 1.1371, decode.d3.loss_cls: 0.9266, decode.d3.loss_mask: 0.7927, decode.d3.loss_dice: 1.1209, decode.d4.loss_cls: 0.9086, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.1185, decode.d5.loss_cls: 0.8861, decode.d5.loss_mask: 0.7877, decode.d5.loss_dice: 1.1208, decode.d6.loss_cls: 0.8769, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.1101, decode.d7.loss_cls: 0.8587, decode.d7.loss_mask: 0.7867, decode.d7.loss_dice: 1.1122, decode.d8.loss_cls: 0.8596, decode.d8.loss_mask: 0.7870, decode.d8.loss_dice: 1.1091, loss: 30.8031 2022-06-21 17:45:10,297 - mmseg - INFO - Iter [26250/40000] lr: 5.294e-06, eta: 2:04:22, time: 0.536, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8569, decode.loss_mask: 0.7800, decode.loss_dice: 1.1102, decode.d0.loss_cls: 3.0978, decode.d0.loss_mask: 0.8266, decode.d0.loss_dice: 1.2760, decode.d1.loss_cls: 1.1923, decode.d1.loss_mask: 0.8106, decode.d1.loss_dice: 1.1695, decode.d2.loss_cls: 0.9954, decode.d2.loss_mask: 0.7919, decode.d2.loss_dice: 1.1320, decode.d3.loss_cls: 0.9343, decode.d3.loss_mask: 0.7862, decode.d3.loss_dice: 1.1206, decode.d4.loss_cls: 0.9099, decode.d4.loss_mask: 0.7827, decode.d4.loss_dice: 1.1135, decode.d5.loss_cls: 0.8962, decode.d5.loss_mask: 0.7822, decode.d5.loss_dice: 1.1024, decode.d6.loss_cls: 0.8773, decode.d6.loss_mask: 0.7831, decode.d6.loss_dice: 1.1062, decode.d7.loss_cls: 0.8709, decode.d7.loss_mask: 0.7829, decode.d7.loss_dice: 1.1066, decode.d8.loss_cls: 0.8658, decode.d8.loss_mask: 0.7776, decode.d8.loss_dice: 1.1088, loss: 30.7465 2022-06-21 17:45:38,317 - mmseg - INFO - Iter [26300/40000] lr: 5.275e-06, eta: 2:03:55, time: 0.560, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8700, decode.loss_mask: 0.7777, decode.loss_dice: 1.1301, decode.d0.loss_cls: 3.1275, decode.d0.loss_mask: 0.8321, decode.d0.loss_dice: 1.3011, decode.d1.loss_cls: 1.2131, decode.d1.loss_mask: 0.8103, decode.d1.loss_dice: 1.1977, decode.d2.loss_cls: 1.0247, decode.d2.loss_mask: 0.7920, decode.d2.loss_dice: 1.1488, decode.d3.loss_cls: 0.9564, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.1368, decode.d4.loss_cls: 0.9238, decode.d4.loss_mask: 0.7824, decode.d4.loss_dice: 1.1349, decode.d5.loss_cls: 0.8978, decode.d5.loss_mask: 0.7789, decode.d5.loss_dice: 1.1336, decode.d6.loss_cls: 0.8884, decode.d6.loss_mask: 0.7784, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.8839, decode.d7.loss_mask: 0.7736, decode.d7.loss_dice: 1.1245, decode.d8.loss_cls: 0.8699, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.1290, loss: 31.1062 2022-06-21 17:46:06,671 - mmseg - INFO - Iter [26350/40000] lr: 5.256e-06, eta: 2:03:29, time: 0.567, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8338, decode.loss_mask: 0.7925, decode.loss_dice: 1.0743, decode.d0.loss_cls: 3.0422, decode.d0.loss_mask: 0.8347, decode.d0.loss_dice: 1.2354, decode.d1.loss_cls: 1.1453, decode.d1.loss_mask: 0.8219, decode.d1.loss_dice: 1.1440, decode.d2.loss_cls: 0.9672, decode.d2.loss_mask: 0.8026, decode.d2.loss_dice: 1.0970, decode.d3.loss_cls: 0.8989, decode.d3.loss_mask: 0.7961, decode.d3.loss_dice: 1.0820, decode.d4.loss_cls: 0.8726, decode.d4.loss_mask: 0.7938, decode.d4.loss_dice: 1.0807, decode.d5.loss_cls: 0.8573, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.0841, decode.d6.loss_cls: 0.8416, decode.d6.loss_mask: 0.7945, decode.d6.loss_dice: 1.0743, decode.d7.loss_cls: 0.8342, decode.d7.loss_mask: 0.7938, decode.d7.loss_dice: 1.0747, decode.d8.loss_cls: 0.8242, decode.d8.loss_mask: 0.7947, decode.d8.loss_dice: 1.0766, loss: 30.1594 2022-06-21 17:46:34,021 - mmseg - INFO - Iter [26400/40000] lr: 5.236e-06, eta: 2:03:02, time: 0.548, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8698, decode.loss_mask: 0.7924, decode.loss_dice: 1.1139, decode.d0.loss_cls: 3.0731, decode.d0.loss_mask: 0.8327, decode.d0.loss_dice: 1.2805, decode.d1.loss_cls: 1.1855, decode.d1.loss_mask: 0.8196, decode.d1.loss_dice: 1.1737, decode.d2.loss_cls: 0.9906, decode.d2.loss_mask: 0.8048, decode.d2.loss_dice: 1.1358, decode.d3.loss_cls: 0.9232, decode.d3.loss_mask: 0.8019, decode.d3.loss_dice: 1.1217, decode.d4.loss_cls: 0.8971, decode.d4.loss_mask: 0.7978, decode.d4.loss_dice: 1.1278, decode.d5.loss_cls: 0.8945, decode.d5.loss_mask: 0.7957, decode.d5.loss_dice: 1.1182, decode.d6.loss_cls: 0.8865, decode.d6.loss_mask: 0.7951, decode.d6.loss_dice: 1.1121, decode.d7.loss_cls: 0.8735, decode.d7.loss_mask: 0.7943, decode.d7.loss_dice: 1.1189, decode.d8.loss_cls: 0.8661, decode.d8.loss_mask: 0.7951, decode.d8.loss_dice: 1.1174, loss: 30.9092 2022-06-21 17:47:02,901 - mmseg - INFO - Iter [26450/40000] lr: 5.217e-06, eta: 2:02:35, time: 0.577, data_time: 0.058, memory: 40943, decode.loss_cls: 0.8083, decode.loss_mask: 0.7905, decode.loss_dice: 1.0707, decode.d0.loss_cls: 3.0526, decode.d0.loss_mask: 0.8350, decode.d0.loss_dice: 1.2320, decode.d1.loss_cls: 1.1366, decode.d1.loss_mask: 0.8224, decode.d1.loss_dice: 1.1371, decode.d2.loss_cls: 0.9487, decode.d2.loss_mask: 0.8039, decode.d2.loss_dice: 1.0972, decode.d3.loss_cls: 0.8900, decode.d3.loss_mask: 0.7963, decode.d3.loss_dice: 1.0877, decode.d4.loss_cls: 0.8632, decode.d4.loss_mask: 0.7926, decode.d4.loss_dice: 1.0865, decode.d5.loss_cls: 0.8454, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.0832, decode.d6.loss_cls: 0.8352, decode.d6.loss_mask: 0.7889, decode.d6.loss_dice: 1.0671, decode.d7.loss_cls: 0.8153, decode.d7.loss_mask: 0.7911, decode.d7.loss_dice: 1.0739, decode.d8.loss_cls: 0.8151, decode.d8.loss_mask: 0.7908, decode.d8.loss_dice: 1.0750, loss: 30.0264 2022-06-21 17:47:28,228 - mmseg - INFO - Iter [26500/40000] lr: 5.198e-06, eta: 2:02:07, time: 0.507, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8563, decode.loss_mask: 0.7884, decode.loss_dice: 1.1006, decode.d0.loss_cls: 3.0820, decode.d0.loss_mask: 0.8419, decode.d0.loss_dice: 1.2724, decode.d1.loss_cls: 1.1767, decode.d1.loss_mask: 0.8187, decode.d1.loss_dice: 1.1643, decode.d2.loss_cls: 1.0039, decode.d2.loss_mask: 0.8024, decode.d2.loss_dice: 1.1185, decode.d3.loss_cls: 0.9473, decode.d3.loss_mask: 0.7956, decode.d3.loss_dice: 1.1092, decode.d4.loss_cls: 0.9082, decode.d4.loss_mask: 0.7960, decode.d4.loss_dice: 1.1040, decode.d5.loss_cls: 0.8848, decode.d5.loss_mask: 0.7966, decode.d5.loss_dice: 1.1038, decode.d6.loss_cls: 0.8717, decode.d6.loss_mask: 0.7931, decode.d6.loss_dice: 1.1020, decode.d7.loss_cls: 0.8619, decode.d7.loss_mask: 0.7904, decode.d7.loss_dice: 1.1033, decode.d8.loss_cls: 0.8569, decode.d8.loss_mask: 0.7890, decode.d8.loss_dice: 1.0991, loss: 30.7392 2022-06-21 17:47:53,710 - mmseg - INFO - Iter [26550/40000] lr: 5.179e-06, eta: 2:01:39, time: 0.510, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8633, decode.loss_mask: 0.7917, decode.loss_dice: 1.1167, decode.d0.loss_cls: 3.0848, decode.d0.loss_mask: 0.8377, decode.d0.loss_dice: 1.2818, decode.d1.loss_cls: 1.2015, decode.d1.loss_mask: 0.8219, decode.d1.loss_dice: 1.1868, decode.d2.loss_cls: 1.0068, decode.d2.loss_mask: 0.8017, decode.d2.loss_dice: 1.1404, decode.d3.loss_cls: 0.9382, decode.d3.loss_mask: 0.8009, decode.d3.loss_dice: 1.1246, decode.d4.loss_cls: 0.9104, decode.d4.loss_mask: 0.7997, decode.d4.loss_dice: 1.1240, decode.d5.loss_cls: 0.8996, decode.d5.loss_mask: 0.7999, decode.d5.loss_dice: 1.1167, decode.d6.loss_cls: 0.8790, decode.d6.loss_mask: 0.7958, decode.d6.loss_dice: 1.1182, decode.d7.loss_cls: 0.8751, decode.d7.loss_mask: 0.7912, decode.d7.loss_dice: 1.1104, decode.d8.loss_cls: 0.8718, decode.d8.loss_mask: 0.7902, decode.d8.loss_dice: 1.1094, loss: 30.9900 2022-06-21 17:48:20,016 - mmseg - INFO - Iter [26600/40000] lr: 5.159e-06, eta: 2:01:12, time: 0.525, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8236, decode.loss_mask: 0.7778, decode.loss_dice: 1.0853, decode.d0.loss_cls: 3.0169, decode.d0.loss_mask: 0.8356, decode.d0.loss_dice: 1.2685, decode.d1.loss_cls: 1.1307, decode.d1.loss_mask: 0.8137, decode.d1.loss_dice: 1.1620, decode.d2.loss_cls: 0.9626, decode.d2.loss_mask: 0.7907, decode.d2.loss_dice: 1.1137, decode.d3.loss_cls: 0.9002, decode.d3.loss_mask: 0.7904, decode.d3.loss_dice: 1.0949, decode.d4.loss_cls: 0.8648, decode.d4.loss_mask: 0.7895, decode.d4.loss_dice: 1.0948, decode.d5.loss_cls: 0.8496, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.0905, decode.d6.loss_cls: 0.8360, decode.d6.loss_mask: 0.7805, decode.d6.loss_dice: 1.0896, decode.d7.loss_cls: 0.8283, decode.d7.loss_mask: 0.7794, decode.d7.loss_dice: 1.0880, decode.d8.loss_cls: 0.8228, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.0825, loss: 30.1281 2022-06-21 17:48:46,927 - mmseg - INFO - Iter [26650/40000] lr: 5.140e-06, eta: 2:00:44, time: 0.539, data_time: 0.012, memory: 40943, decode.loss_cls: 0.8107, decode.loss_mask: 0.7709, decode.loss_dice: 1.0820, decode.d0.loss_cls: 3.0567, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.2529, decode.d1.loss_cls: 1.1407, decode.d1.loss_mask: 0.7976, decode.d1.loss_dice: 1.1508, decode.d2.loss_cls: 0.9556, decode.d2.loss_mask: 0.7765, decode.d2.loss_dice: 1.1041, decode.d3.loss_cls: 0.8831, decode.d3.loss_mask: 0.7745, decode.d3.loss_dice: 1.0946, decode.d4.loss_cls: 0.8653, decode.d4.loss_mask: 0.7750, decode.d4.loss_dice: 1.0897, decode.d5.loss_cls: 0.8412, decode.d5.loss_mask: 0.7757, decode.d5.loss_dice: 1.0904, decode.d6.loss_cls: 0.8201, decode.d6.loss_mask: 0.7740, decode.d6.loss_dice: 1.0871, decode.d7.loss_cls: 0.8142, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.0859, decode.d8.loss_cls: 0.8114, decode.d8.loss_mask: 0.7727, decode.d8.loss_dice: 1.0847, loss: 29.9225 2022-06-21 17:49:14,534 - mmseg - INFO - Iter [26700/40000] lr: 5.121e-06, eta: 2:00:18, time: 0.552, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8674, decode.loss_mask: 0.7612, decode.loss_dice: 1.0988, decode.d0.loss_cls: 3.1230, decode.d0.loss_mask: 0.7998, decode.d0.loss_dice: 1.2631, decode.d1.loss_cls: 1.1944, decode.d1.loss_mask: 0.7861, decode.d1.loss_dice: 1.1661, decode.d2.loss_cls: 1.0199, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.1188, decode.d3.loss_cls: 0.9416, decode.d3.loss_mask: 0.7729, decode.d3.loss_dice: 1.1088, decode.d4.loss_cls: 0.9174, decode.d4.loss_mask: 0.7665, decode.d4.loss_dice: 1.1006, decode.d5.loss_cls: 0.8981, decode.d5.loss_mask: 0.7702, decode.d5.loss_dice: 1.1023, decode.d6.loss_cls: 0.8818, decode.d6.loss_mask: 0.7682, decode.d6.loss_dice: 1.0954, decode.d7.loss_cls: 0.8813, decode.d7.loss_mask: 0.7631, decode.d7.loss_dice: 1.0968, decode.d8.loss_cls: 0.8714, decode.d8.loss_mask: 0.7647, decode.d8.loss_dice: 1.1009, loss: 30.5678 2022-06-21 17:49:39,752 - mmseg - INFO - Iter [26750/40000] lr: 5.102e-06, eta: 1:59:49, time: 0.504, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8392, decode.loss_mask: 0.7814, decode.loss_dice: 1.0919, decode.d0.loss_cls: 3.0332, decode.d0.loss_mask: 0.8312, decode.d0.loss_dice: 1.2713, decode.d1.loss_cls: 1.1844, decode.d1.loss_mask: 0.8137, decode.d1.loss_dice: 1.1623, decode.d2.loss_cls: 0.9836, decode.d2.loss_mask: 0.7962, decode.d2.loss_dice: 1.1231, decode.d3.loss_cls: 0.9143, decode.d3.loss_mask: 0.7932, decode.d3.loss_dice: 1.1017, decode.d4.loss_cls: 0.8869, decode.d4.loss_mask: 0.7903, decode.d4.loss_dice: 1.1025, decode.d5.loss_cls: 0.8652, decode.d5.loss_mask: 0.7860, decode.d5.loss_dice: 1.0956, decode.d6.loss_cls: 0.8588, decode.d6.loss_mask: 0.7844, decode.d6.loss_dice: 1.0944, decode.d7.loss_cls: 0.8435, decode.d7.loss_mask: 0.7826, decode.d7.loss_dice: 1.0946, decode.d8.loss_cls: 0.8414, decode.d8.loss_mask: 0.7827, decode.d8.loss_dice: 1.0965, loss: 30.4260 2022-06-21 17:50:05,510 - mmseg - INFO - Iter [26800/40000] lr: 5.082e-06, eta: 1:59:22, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8591, decode.loss_mask: 0.8023, decode.loss_dice: 1.1136, decode.d0.loss_cls: 3.1213, decode.d0.loss_mask: 0.8544, decode.d0.loss_dice: 1.2954, decode.d1.loss_cls: 1.1991, decode.d1.loss_mask: 0.8331, decode.d1.loss_dice: 1.1870, decode.d2.loss_cls: 0.9948, decode.d2.loss_mask: 0.8117, decode.d2.loss_dice: 1.1346, decode.d3.loss_cls: 0.9271, decode.d3.loss_mask: 0.8076, decode.d3.loss_dice: 1.1265, decode.d4.loss_cls: 0.8922, decode.d4.loss_mask: 0.8061, decode.d4.loss_dice: 1.1264, decode.d5.loss_cls: 0.8823, decode.d5.loss_mask: 0.8037, decode.d5.loss_dice: 1.1171, decode.d6.loss_cls: 0.8685, decode.d6.loss_mask: 0.8024, decode.d6.loss_dice: 1.1116, decode.d7.loss_cls: 0.8704, decode.d7.loss_mask: 0.8045, decode.d7.loss_dice: 1.1103, decode.d8.loss_cls: 0.8664, decode.d8.loss_mask: 0.8043, decode.d8.loss_dice: 1.1129, loss: 31.0467 2022-06-21 17:50:31,264 - mmseg - INFO - Iter [26850/40000] lr: 5.063e-06, eta: 1:58:54, time: 0.515, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8476, decode.loss_mask: 0.7655, decode.loss_dice: 1.0617, decode.d0.loss_cls: 3.1100, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.2544, decode.d1.loss_cls: 1.1753, decode.d1.loss_mask: 0.7994, decode.d1.loss_dice: 1.1388, decode.d2.loss_cls: 0.9882, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.0926, decode.d3.loss_cls: 0.9145, decode.d3.loss_mask: 0.7706, decode.d3.loss_dice: 1.0795, decode.d4.loss_cls: 0.8901, decode.d4.loss_mask: 0.7701, decode.d4.loss_dice: 1.0781, decode.d5.loss_cls: 0.8721, decode.d5.loss_mask: 0.7680, decode.d5.loss_dice: 1.0747, decode.d6.loss_cls: 0.8531, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.0707, decode.d7.loss_cls: 0.8462, decode.d7.loss_mask: 0.7667, decode.d7.loss_dice: 1.0695, decode.d8.loss_cls: 0.8472, decode.d8.loss_mask: 0.7666, decode.d8.loss_dice: 1.0662, loss: 30.1024 2022-06-21 17:50:56,233 - mmseg - INFO - Iter [26900/40000] lr: 5.044e-06, eta: 1:58:26, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8468, decode.loss_mask: 0.7818, decode.loss_dice: 1.0856, decode.d0.loss_cls: 3.0868, decode.d0.loss_mask: 0.8226, decode.d0.loss_dice: 1.2454, decode.d1.loss_cls: 1.1511, decode.d1.loss_mask: 0.8092, decode.d1.loss_dice: 1.1543, decode.d2.loss_cls: 0.9763, decode.d2.loss_mask: 0.7940, decode.d2.loss_dice: 1.1119, decode.d3.loss_cls: 0.9237, decode.d3.loss_mask: 0.7822, decode.d3.loss_dice: 1.0935, decode.d4.loss_cls: 0.8894, decode.d4.loss_mask: 0.7835, decode.d4.loss_dice: 1.0971, decode.d5.loss_cls: 0.8796, decode.d5.loss_mask: 0.7840, decode.d5.loss_dice: 1.0938, decode.d6.loss_cls: 0.8613, decode.d6.loss_mask: 0.7856, decode.d6.loss_dice: 1.0885, decode.d7.loss_cls: 0.8440, decode.d7.loss_mask: 0.7824, decode.d7.loss_dice: 1.0927, decode.d8.loss_cls: 0.8417, decode.d8.loss_mask: 0.7832, decode.d8.loss_dice: 1.0867, loss: 30.3587 2022-06-21 17:51:22,268 - mmseg - INFO - Iter [26950/40000] lr: 5.025e-06, eta: 1:57:58, time: 0.521, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8606, decode.loss_mask: 0.7867, decode.loss_dice: 1.0832, decode.d0.loss_cls: 3.0799, decode.d0.loss_mask: 0.8173, decode.d0.loss_dice: 1.2435, decode.d1.loss_cls: 1.1699, decode.d1.loss_mask: 0.8083, decode.d1.loss_dice: 1.1464, decode.d2.loss_cls: 1.0163, decode.d2.loss_mask: 0.7884, decode.d2.loss_dice: 1.1001, decode.d3.loss_cls: 0.9351, decode.d3.loss_mask: 0.7850, decode.d3.loss_dice: 1.0932, decode.d4.loss_cls: 0.9084, decode.d4.loss_mask: 0.7863, decode.d4.loss_dice: 1.0917, decode.d5.loss_cls: 0.8979, decode.d5.loss_mask: 0.7867, decode.d5.loss_dice: 1.0917, decode.d6.loss_cls: 0.8785, decode.d6.loss_mask: 0.7859, decode.d6.loss_dice: 1.0870, decode.d7.loss_cls: 0.8754, decode.d7.loss_mask: 0.7865, decode.d7.loss_dice: 1.0833, decode.d8.loss_cls: 0.8612, decode.d8.loss_mask: 0.7837, decode.d8.loss_dice: 1.0911, loss: 30.5093 2022-06-21 17:51:49,377 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-06-21 17:51:54,972 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 17:51:54,973 - mmseg - INFO - Iter [27000/40000] lr: 5.005e-06, eta: 1:57:34, time: 0.654, data_time: 0.058, memory: 40943, decode.loss_cls: 0.8388, decode.loss_mask: 0.7751, decode.loss_dice: 1.1499, decode.d0.loss_cls: 3.1173, decode.d0.loss_mask: 0.8266, decode.d0.loss_dice: 1.3363, decode.d1.loss_cls: 1.1709, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2318, decode.d2.loss_cls: 0.9917, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.1830, decode.d3.loss_cls: 0.9171, decode.d3.loss_mask: 0.7773, decode.d3.loss_dice: 1.1634, decode.d4.loss_cls: 0.8897, decode.d4.loss_mask: 0.7803, decode.d4.loss_dice: 1.1679, decode.d5.loss_cls: 0.8682, decode.d5.loss_mask: 0.7774, decode.d5.loss_dice: 1.1650, decode.d6.loss_cls: 0.8631, decode.d6.loss_mask: 0.7808, decode.d6.loss_dice: 1.1571, decode.d7.loss_cls: 0.8413, decode.d7.loss_mask: 0.7767, decode.d7.loss_dice: 1.1579, decode.d8.loss_cls: 0.8368, decode.d8.loss_mask: 0.7753, decode.d8.loss_dice: 1.1545, loss: 31.0604 2022-06-21 17:52:19,969 - mmseg - INFO - Iter [27050/40000] lr: 4.986e-06, eta: 1:57:05, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8409, decode.loss_mask: 0.7806, decode.loss_dice: 1.1213, decode.d0.loss_cls: 3.0695, decode.d0.loss_mask: 0.8282, decode.d0.loss_dice: 1.2980, decode.d1.loss_cls: 1.1639, decode.d1.loss_mask: 0.8099, decode.d1.loss_dice: 1.1892, decode.d2.loss_cls: 0.9702, decode.d2.loss_mask: 0.7920, decode.d2.loss_dice: 1.1461, decode.d3.loss_cls: 0.9077, decode.d3.loss_mask: 0.7883, decode.d3.loss_dice: 1.1325, decode.d4.loss_cls: 0.8833, decode.d4.loss_mask: 0.7844, decode.d4.loss_dice: 1.1328, decode.d5.loss_cls: 0.8710, decode.d5.loss_mask: 0.7785, decode.d5.loss_dice: 1.1307, decode.d6.loss_cls: 0.8496, decode.d6.loss_mask: 0.7833, decode.d6.loss_dice: 1.1232, decode.d7.loss_cls: 0.8457, decode.d7.loss_mask: 0.7815, decode.d7.loss_dice: 1.1245, decode.d8.loss_cls: 0.8351, decode.d8.loss_mask: 0.7818, decode.d8.loss_dice: 1.1281, loss: 30.6718 2022-06-21 17:52:45,002 - mmseg - INFO - Iter [27100/40000] lr: 4.967e-06, eta: 1:56:37, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8279, decode.loss_mask: 0.7784, decode.loss_dice: 1.0927, decode.d0.loss_cls: 3.0611, decode.d0.loss_mask: 0.8213, decode.d0.loss_dice: 1.2783, decode.d1.loss_cls: 1.1580, decode.d1.loss_mask: 0.8012, decode.d1.loss_dice: 1.1659, decode.d2.loss_cls: 0.9768, decode.d2.loss_mask: 0.7878, decode.d2.loss_dice: 1.1162, decode.d3.loss_cls: 0.9172, decode.d3.loss_mask: 0.7845, decode.d3.loss_dice: 1.1033, decode.d4.loss_cls: 0.8884, decode.d4.loss_mask: 0.7821, decode.d4.loss_dice: 1.0997, decode.d5.loss_cls: 0.8624, decode.d5.loss_mask: 0.7774, decode.d5.loss_dice: 1.1030, decode.d6.loss_cls: 0.8473, decode.d6.loss_mask: 0.7780, decode.d6.loss_dice: 1.0917, decode.d7.loss_cls: 0.8309, decode.d7.loss_mask: 0.7774, decode.d7.loss_dice: 1.1001, decode.d8.loss_cls: 0.8341, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.1011, loss: 30.3222 2022-06-21 17:53:11,087 - mmseg - INFO - Iter [27150/40000] lr: 4.948e-06, eta: 1:56:10, time: 0.521, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8223, decode.loss_mask: 0.7560, decode.loss_dice: 1.0925, decode.d0.loss_cls: 3.1036, decode.d0.loss_mask: 0.8060, decode.d0.loss_dice: 1.2704, decode.d1.loss_cls: 1.1581, decode.d1.loss_mask: 0.7860, decode.d1.loss_dice: 1.1571, decode.d2.loss_cls: 0.9697, decode.d2.loss_mask: 0.7671, decode.d2.loss_dice: 1.1060, decode.d3.loss_cls: 0.9016, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.0941, decode.d4.loss_cls: 0.8812, decode.d4.loss_mask: 0.7645, decode.d4.loss_dice: 1.1023, decode.d5.loss_cls: 0.8543, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.0962, decode.d6.loss_cls: 0.8446, decode.d6.loss_mask: 0.7579, decode.d6.loss_dice: 1.0893, decode.d7.loss_cls: 0.8350, decode.d7.loss_mask: 0.7576, decode.d7.loss_dice: 1.0947, decode.d8.loss_cls: 0.8270, decode.d8.loss_mask: 0.7561, decode.d8.loss_dice: 1.0912, loss: 30.0680 2022-06-21 17:53:36,603 - mmseg - INFO - Iter [27200/40000] lr: 4.928e-06, eta: 1:55:42, time: 0.511, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8190, decode.loss_mask: 0.8058, decode.loss_dice: 1.0995, decode.d0.loss_cls: 3.0208, decode.d0.loss_mask: 0.8488, decode.d0.loss_dice: 1.2624, decode.d1.loss_cls: 1.1472, decode.d1.loss_mask: 0.8246, decode.d1.loss_dice: 1.1600, decode.d2.loss_cls: 0.9596, decode.d2.loss_mask: 0.8093, decode.d2.loss_dice: 1.1133, decode.d3.loss_cls: 0.8917, decode.d3.loss_mask: 0.8096, decode.d3.loss_dice: 1.1077, decode.d4.loss_cls: 0.8675, decode.d4.loss_mask: 0.8116, decode.d4.loss_dice: 1.1037, decode.d5.loss_cls: 0.8577, decode.d5.loss_mask: 0.8058, decode.d5.loss_dice: 1.0993, decode.d6.loss_cls: 0.8335, decode.d6.loss_mask: 0.8066, decode.d6.loss_dice: 1.0973, decode.d7.loss_cls: 0.8274, decode.d7.loss_mask: 0.8075, decode.d7.loss_dice: 1.1008, decode.d8.loss_cls: 0.8158, decode.d8.loss_mask: 0.8032, decode.d8.loss_dice: 1.0988, loss: 30.4157 2022-06-21 17:54:01,611 - mmseg - INFO - Iter [27250/40000] lr: 4.909e-06, eta: 1:55:14, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7952, decode.loss_mask: 0.7794, decode.loss_dice: 1.1006, decode.d0.loss_cls: 3.0086, decode.d0.loss_mask: 0.8288, decode.d0.loss_dice: 1.2577, decode.d1.loss_cls: 1.1125, decode.d1.loss_mask: 0.8137, decode.d1.loss_dice: 1.1654, decode.d2.loss_cls: 0.9578, decode.d2.loss_mask: 0.7944, decode.d2.loss_dice: 1.1201, decode.d3.loss_cls: 0.8683, decode.d3.loss_mask: 0.7902, decode.d3.loss_dice: 1.1081, decode.d4.loss_cls: 0.8455, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.1058, decode.d5.loss_cls: 0.8193, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.1032, decode.d6.loss_cls: 0.7998, decode.d6.loss_mask: 0.7865, decode.d6.loss_dice: 1.1008, decode.d7.loss_cls: 0.7878, decode.d7.loss_mask: 0.7825, decode.d7.loss_dice: 1.1050, decode.d8.loss_cls: 0.7874, decode.d8.loss_mask: 0.7814, decode.d8.loss_dice: 1.1005, loss: 29.9770 2022-06-21 17:54:27,137 - mmseg - INFO - Iter [27300/40000] lr: 4.890e-06, eta: 1:54:46, time: 0.510, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8184, decode.loss_mask: 0.7696, decode.loss_dice: 1.0931, decode.d0.loss_cls: 3.0794, decode.d0.loss_mask: 0.8084, decode.d0.loss_dice: 1.2568, decode.d1.loss_cls: 1.1240, decode.d1.loss_mask: 0.8001, decode.d1.loss_dice: 1.1698, decode.d2.loss_cls: 0.9619, decode.d2.loss_mask: 0.7871, decode.d2.loss_dice: 1.1259, decode.d3.loss_cls: 0.8885, decode.d3.loss_mask: 0.7807, decode.d3.loss_dice: 1.1134, decode.d4.loss_cls: 0.8643, decode.d4.loss_mask: 0.7785, decode.d4.loss_dice: 1.1104, decode.d5.loss_cls: 0.8502, decode.d5.loss_mask: 0.7782, decode.d5.loss_dice: 1.1040, decode.d6.loss_cls: 0.8374, decode.d6.loss_mask: 0.7751, decode.d6.loss_dice: 1.0978, decode.d7.loss_cls: 0.8192, decode.d7.loss_mask: 0.7761, decode.d7.loss_dice: 1.1003, decode.d8.loss_cls: 0.8206, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.0927, loss: 30.1550 2022-06-21 17:54:52,199 - mmseg - INFO - Iter [27350/40000] lr: 4.871e-06, eta: 1:54:18, time: 0.501, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8663, decode.loss_mask: 0.8060, decode.loss_dice: 1.1113, decode.d0.loss_cls: 3.0846, decode.d0.loss_mask: 0.8478, decode.d0.loss_dice: 1.2878, decode.d1.loss_cls: 1.1712, decode.d1.loss_mask: 0.8351, decode.d1.loss_dice: 1.1767, decode.d2.loss_cls: 1.0161, decode.d2.loss_mask: 0.8143, decode.d2.loss_dice: 1.1315, decode.d3.loss_cls: 0.9533, decode.d3.loss_mask: 0.8147, decode.d3.loss_dice: 1.1203, decode.d4.loss_cls: 0.9234, decode.d4.loss_mask: 0.8126, decode.d4.loss_dice: 1.1217, decode.d5.loss_cls: 0.9125, decode.d5.loss_mask: 0.8071, decode.d5.loss_dice: 1.1158, decode.d6.loss_cls: 0.8896, decode.d6.loss_mask: 0.8091, decode.d6.loss_dice: 1.1042, decode.d7.loss_cls: 0.8851, decode.d7.loss_mask: 0.8054, decode.d7.loss_dice: 1.1083, decode.d8.loss_cls: 0.8700, decode.d8.loss_mask: 0.8055, decode.d8.loss_dice: 1.1104, loss: 31.1180 2022-06-21 17:55:17,438 - mmseg - INFO - Iter [27400/40000] lr: 4.851e-06, eta: 1:53:50, time: 0.505, data_time: 0.009, memory: 40943, decode.loss_cls: 0.9265, decode.loss_mask: 0.7752, decode.loss_dice: 1.1368, decode.d0.loss_cls: 3.2104, decode.d0.loss_mask: 0.8268, decode.d0.loss_dice: 1.3278, decode.d1.loss_cls: 1.2788, decode.d1.loss_mask: 0.8063, decode.d1.loss_dice: 1.2219, decode.d2.loss_cls: 1.0803, decode.d2.loss_mask: 0.7916, decode.d2.loss_dice: 1.1694, decode.d3.loss_cls: 1.0085, decode.d3.loss_mask: 0.7856, decode.d3.loss_dice: 1.1508, decode.d4.loss_cls: 0.9631, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.1593, decode.d5.loss_cls: 0.9470, decode.d5.loss_mask: 0.7861, decode.d5.loss_dice: 1.1530, decode.d6.loss_cls: 0.9383, decode.d6.loss_mask: 0.7859, decode.d6.loss_dice: 1.1365, decode.d7.loss_cls: 0.9282, decode.d7.loss_mask: 0.7813, decode.d7.loss_dice: 1.1384, decode.d8.loss_cls: 0.9229, decode.d8.loss_mask: 0.7763, decode.d8.loss_dice: 1.1400, loss: 31.8421 2022-06-21 17:55:43,420 - mmseg - INFO - Iter [27450/40000] lr: 4.832e-06, eta: 1:53:22, time: 0.520, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8751, decode.loss_mask: 0.7726, decode.loss_dice: 1.0990, decode.d0.loss_cls: 3.1172, decode.d0.loss_mask: 0.8122, decode.d0.loss_dice: 1.2843, decode.d1.loss_cls: 1.1900, decode.d1.loss_mask: 0.8045, decode.d1.loss_dice: 1.1804, decode.d2.loss_cls: 1.0138, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.1314, decode.d3.loss_cls: 0.9491, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.1097, decode.d4.loss_cls: 0.9267, decode.d4.loss_mask: 0.7767, decode.d4.loss_dice: 1.1027, decode.d5.loss_cls: 0.9108, decode.d5.loss_mask: 0.7732, decode.d5.loss_dice: 1.1017, decode.d6.loss_cls: 0.8943, decode.d6.loss_mask: 0.7727, decode.d6.loss_dice: 1.1002, decode.d7.loss_cls: 0.8865, decode.d7.loss_mask: 0.7721, decode.d7.loss_dice: 1.1040, decode.d8.loss_cls: 0.8856, decode.d8.loss_mask: 0.7700, decode.d8.loss_dice: 1.0964, loss: 30.7766 2022-06-21 17:56:08,742 - mmseg - INFO - Iter [27500/40000] lr: 4.813e-06, eta: 1:52:54, time: 0.506, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8242, decode.loss_mask: 0.7575, decode.loss_dice: 1.1033, decode.d0.loss_cls: 3.0669, decode.d0.loss_mask: 0.8001, decode.d0.loss_dice: 1.2867, decode.d1.loss_cls: 1.1476, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.1740, decode.d2.loss_cls: 0.9644, decode.d2.loss_mask: 0.7672, decode.d2.loss_dice: 1.1288, decode.d3.loss_cls: 0.9116, decode.d3.loss_mask: 0.7607, decode.d3.loss_dice: 1.1094, decode.d4.loss_cls: 0.8862, decode.d4.loss_mask: 0.7634, decode.d4.loss_dice: 1.1125, decode.d5.loss_cls: 0.8674, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.1070, decode.d6.loss_cls: 0.8468, decode.d6.loss_mask: 0.7602, decode.d6.loss_dice: 1.1039, decode.d7.loss_cls: 0.8357, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.1059, decode.d8.loss_cls: 0.8313, decode.d8.loss_mask: 0.7601, decode.d8.loss_dice: 1.1006, loss: 30.1915 2022-06-21 17:56:36,530 - mmseg - INFO - Iter [27550/40000] lr: 4.794e-06, eta: 1:52:28, time: 0.555, data_time: 0.061, memory: 40943, decode.loss_cls: 0.8469, decode.loss_mask: 0.7730, decode.loss_dice: 1.1091, decode.d0.loss_cls: 3.0394, decode.d0.loss_mask: 0.8232, decode.d0.loss_dice: 1.2813, decode.d1.loss_cls: 1.1665, decode.d1.loss_mask: 0.8017, decode.d1.loss_dice: 1.1798, decode.d2.loss_cls: 0.9761, decode.d2.loss_mask: 0.7856, decode.d2.loss_dice: 1.1275, decode.d3.loss_cls: 0.9091, decode.d3.loss_mask: 0.7798, decode.d3.loss_dice: 1.1107, decode.d4.loss_cls: 0.8818, decode.d4.loss_mask: 0.7786, decode.d4.loss_dice: 1.1187, decode.d5.loss_cls: 0.8673, decode.d5.loss_mask: 0.7747, decode.d5.loss_dice: 1.1081, decode.d6.loss_cls: 0.8587, decode.d6.loss_mask: 0.7748, decode.d6.loss_dice: 1.1014, decode.d7.loss_cls: 0.8457, decode.d7.loss_mask: 0.7761, decode.d7.loss_dice: 1.1093, decode.d8.loss_cls: 0.8375, decode.d8.loss_mask: 0.7747, decode.d8.loss_dice: 1.1101, loss: 30.4270 2022-06-21 17:57:02,146 - mmseg - INFO - Iter [27600/40000] lr: 4.774e-06, eta: 1:52:00, time: 0.512, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8213, decode.loss_mask: 0.7817, decode.loss_dice: 1.1135, decode.d0.loss_cls: 3.0586, decode.d0.loss_mask: 0.8269, decode.d0.loss_dice: 1.2855, decode.d1.loss_cls: 1.1371, decode.d1.loss_mask: 0.8040, decode.d1.loss_dice: 1.1796, decode.d2.loss_cls: 0.9629, decode.d2.loss_mask: 0.7913, decode.d2.loss_dice: 1.1304, decode.d3.loss_cls: 0.8926, decode.d3.loss_mask: 0.7901, decode.d3.loss_dice: 1.1146, decode.d4.loss_cls: 0.8681, decode.d4.loss_mask: 0.7872, decode.d4.loss_dice: 1.1184, decode.d5.loss_cls: 0.8423, decode.d5.loss_mask: 0.7828, decode.d5.loss_dice: 1.1181, decode.d6.loss_cls: 0.8334, decode.d6.loss_mask: 0.7829, decode.d6.loss_dice: 1.1077, decode.d7.loss_cls: 0.8240, decode.d7.loss_mask: 0.7817, decode.d7.loss_dice: 1.1132, decode.d8.loss_cls: 0.8189, decode.d8.loss_mask: 0.7825, decode.d8.loss_dice: 1.1112, loss: 30.3627 2022-06-21 17:57:28,021 - mmseg - INFO - Iter [27650/40000] lr: 4.755e-06, eta: 1:51:32, time: 0.518, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8676, decode.loss_mask: 0.7720, decode.loss_dice: 1.1155, decode.d0.loss_cls: 3.1258, decode.d0.loss_mask: 0.8153, decode.d0.loss_dice: 1.2959, decode.d1.loss_cls: 1.2163, decode.d1.loss_mask: 0.7908, decode.d1.loss_dice: 1.1841, decode.d2.loss_cls: 1.0181, decode.d2.loss_mask: 0.7817, decode.d2.loss_dice: 1.1459, decode.d3.loss_cls: 0.9502, decode.d3.loss_mask: 0.7765, decode.d3.loss_dice: 1.1261, decode.d4.loss_cls: 0.9134, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.1269, decode.d5.loss_cls: 0.8939, decode.d5.loss_mask: 0.7748, decode.d5.loss_dice: 1.1247, decode.d6.loss_cls: 0.8773, decode.d6.loss_mask: 0.7750, decode.d6.loss_dice: 1.1173, decode.d7.loss_cls: 0.8756, decode.d7.loss_mask: 0.7698, decode.d7.loss_dice: 1.1142, decode.d8.loss_cls: 0.8673, decode.d8.loss_mask: 0.7705, decode.d8.loss_dice: 1.1179, loss: 30.8758 2022-06-21 17:57:52,782 - mmseg - INFO - Iter [27700/40000] lr: 4.736e-06, eta: 1:51:04, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8140, decode.loss_mask: 0.7541, decode.loss_dice: 1.0832, decode.d0.loss_cls: 3.0175, decode.d0.loss_mask: 0.8050, decode.d0.loss_dice: 1.2580, decode.d1.loss_cls: 1.1431, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.1498, decode.d2.loss_cls: 0.9730, decode.d2.loss_mask: 0.7651, decode.d2.loss_dice: 1.1128, decode.d3.loss_cls: 0.8924, decode.d3.loss_mask: 0.7600, decode.d3.loss_dice: 1.0957, decode.d4.loss_cls: 0.8660, decode.d4.loss_mask: 0.7572, decode.d4.loss_dice: 1.0923, decode.d5.loss_cls: 0.8450, decode.d5.loss_mask: 0.7523, decode.d5.loss_dice: 1.0872, decode.d6.loss_cls: 0.8382, decode.d6.loss_mask: 0.7509, decode.d6.loss_dice: 1.0810, decode.d7.loss_cls: 0.8169, decode.d7.loss_mask: 0.7520, decode.d7.loss_dice: 1.0798, decode.d8.loss_cls: 0.8208, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.0795, loss: 29.7788 2022-06-21 17:58:17,936 - mmseg - INFO - Iter [27750/40000] lr: 4.717e-06, eta: 1:50:36, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8448, decode.loss_mask: 0.7759, decode.loss_dice: 1.1232, decode.d0.loss_cls: 3.1017, decode.d0.loss_mask: 0.8196, decode.d0.loss_dice: 1.2933, decode.d1.loss_cls: 1.1483, decode.d1.loss_mask: 0.8049, decode.d1.loss_dice: 1.1928, decode.d2.loss_cls: 0.9813, decode.d2.loss_mask: 0.7861, decode.d2.loss_dice: 1.1445, decode.d3.loss_cls: 0.9102, decode.d3.loss_mask: 0.7818, decode.d3.loss_dice: 1.1305, decode.d4.loss_cls: 0.8887, decode.d4.loss_mask: 0.7792, decode.d4.loss_dice: 1.1279, decode.d5.loss_cls: 0.8757, decode.d5.loss_mask: 0.7790, decode.d5.loss_dice: 1.1250, decode.d6.loss_cls: 0.8530, decode.d6.loss_mask: 0.7816, decode.d6.loss_dice: 1.1219, decode.d7.loss_cls: 0.8492, decode.d7.loss_mask: 0.7740, decode.d7.loss_dice: 1.1215, decode.d8.loss_cls: 0.8483, decode.d8.loss_mask: 0.7779, decode.d8.loss_dice: 1.1222, loss: 30.6639 2022-06-21 17:58:43,681 - mmseg - INFO - Iter [27800/40000] lr: 4.697e-06, eta: 1:50:08, time: 0.515, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8305, decode.loss_mask: 0.7788, decode.loss_dice: 1.0944, decode.d0.loss_cls: 3.0606, decode.d0.loss_mask: 0.8278, decode.d0.loss_dice: 1.2741, decode.d1.loss_cls: 1.1595, decode.d1.loss_mask: 0.8107, decode.d1.loss_dice: 1.1704, decode.d2.loss_cls: 0.9601, decode.d2.loss_mask: 0.7909, decode.d2.loss_dice: 1.1241, decode.d3.loss_cls: 0.8971, decode.d3.loss_mask: 0.7861, decode.d3.loss_dice: 1.1080, decode.d4.loss_cls: 0.8746, decode.d4.loss_mask: 0.7858, decode.d4.loss_dice: 1.1095, decode.d5.loss_cls: 0.8494, decode.d5.loss_mask: 0.7829, decode.d5.loss_dice: 1.1042, decode.d6.loss_cls: 0.8434, decode.d6.loss_mask: 0.7805, decode.d6.loss_dice: 1.0983, decode.d7.loss_cls: 0.8404, decode.d7.loss_mask: 0.7774, decode.d7.loss_dice: 1.0956, decode.d8.loss_cls: 0.8361, decode.d8.loss_mask: 0.7772, decode.d8.loss_dice: 1.0932, loss: 30.3216 2022-06-21 17:59:08,686 - mmseg - INFO - Iter [27850/40000] lr: 4.678e-06, eta: 1:49:40, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8381, decode.loss_mask: 0.7942, decode.loss_dice: 1.1139, decode.d0.loss_cls: 3.0832, decode.d0.loss_mask: 0.8401, decode.d0.loss_dice: 1.2822, decode.d1.loss_cls: 1.1509, decode.d1.loss_mask: 0.8270, decode.d1.loss_dice: 1.1952, decode.d2.loss_cls: 0.9807, decode.d2.loss_mask: 0.8108, decode.d2.loss_dice: 1.1458, decode.d3.loss_cls: 0.9192, decode.d3.loss_mask: 0.8049, decode.d3.loss_dice: 1.1336, decode.d4.loss_cls: 0.8820, decode.d4.loss_mask: 0.7977, decode.d4.loss_dice: 1.1282, decode.d5.loss_cls: 0.8706, decode.d5.loss_mask: 0.7946, decode.d5.loss_dice: 1.1169, decode.d6.loss_cls: 0.8483, decode.d6.loss_mask: 0.7946, decode.d6.loss_dice: 1.1120, decode.d7.loss_cls: 0.8379, decode.d7.loss_mask: 0.7944, decode.d7.loss_dice: 1.1116, decode.d8.loss_cls: 0.8316, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.1107, loss: 30.7441 2022-06-21 17:59:34,936 - mmseg - INFO - Iter [27900/40000] lr: 4.659e-06, eta: 1:49:13, time: 0.524, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8200, decode.loss_mask: 0.7862, decode.loss_dice: 1.1205, decode.d0.loss_cls: 3.0673, decode.d0.loss_mask: 0.8315, decode.d0.loss_dice: 1.2955, decode.d1.loss_cls: 1.1482, decode.d1.loss_mask: 0.8168, decode.d1.loss_dice: 1.1894, decode.d2.loss_cls: 0.9805, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.1423, decode.d3.loss_cls: 0.8978, decode.d3.loss_mask: 0.7917, decode.d3.loss_dice: 1.1276, decode.d4.loss_cls: 0.8752, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.1252, decode.d5.loss_cls: 0.8585, decode.d5.loss_mask: 0.7859, decode.d5.loss_dice: 1.1212, decode.d6.loss_cls: 0.8339, decode.d6.loss_mask: 0.7853, decode.d6.loss_dice: 1.1212, decode.d7.loss_cls: 0.8383, decode.d7.loss_mask: 0.7873, decode.d7.loss_dice: 1.1186, decode.d8.loss_cls: 0.8199, decode.d8.loss_mask: 0.7855, decode.d8.loss_dice: 1.1236, loss: 30.5793 2022-06-21 18:00:00,619 - mmseg - INFO - Iter [27950/40000] lr: 4.640e-06, eta: 1:48:45, time: 0.514, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8183, decode.loss_mask: 0.7895, decode.loss_dice: 1.0881, decode.d0.loss_cls: 3.0161, decode.d0.loss_mask: 0.8326, decode.d0.loss_dice: 1.2419, decode.d1.loss_cls: 1.1405, decode.d1.loss_mask: 0.8194, decode.d1.loss_dice: 1.1513, decode.d2.loss_cls: 0.9655, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.1047, decode.d3.loss_cls: 0.8867, decode.d3.loss_mask: 0.7923, decode.d3.loss_dice: 1.0894, decode.d4.loss_cls: 0.8583, decode.d4.loss_mask: 0.7944, decode.d4.loss_dice: 1.0939, decode.d5.loss_cls: 0.8446, decode.d5.loss_mask: 0.7917, decode.d5.loss_dice: 1.0879, decode.d6.loss_cls: 0.8320, decode.d6.loss_mask: 0.7909, decode.d6.loss_dice: 1.0798, decode.d7.loss_cls: 0.8192, decode.d7.loss_mask: 0.7904, decode.d7.loss_dice: 1.0837, decode.d8.loss_cls: 0.8150, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.0861, loss: 30.0871 2022-06-21 18:00:29,269 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-06-21 18:00:33,141 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:00:33,141 - mmseg - INFO - Iter [28000/40000] lr: 4.620e-06, eta: 1:48:20, time: 0.650, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8368, decode.loss_mask: 0.7582, decode.loss_dice: 1.0782, decode.d0.loss_cls: 3.0698, decode.d0.loss_mask: 0.8073, decode.d0.loss_dice: 1.2508, decode.d1.loss_cls: 1.1563, decode.d1.loss_mask: 0.7890, decode.d1.loss_dice: 1.1494, decode.d2.loss_cls: 0.9810, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.1092, decode.d3.loss_cls: 0.9104, decode.d3.loss_mask: 0.7664, decode.d3.loss_dice: 1.0954, decode.d4.loss_cls: 0.8755, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.0976, decode.d5.loss_cls: 0.8712, decode.d5.loss_mask: 0.7629, decode.d5.loss_dice: 1.0907, decode.d6.loss_cls: 0.8520, decode.d6.loss_mask: 0.7599, decode.d6.loss_dice: 1.0842, decode.d7.loss_cls: 0.8405, decode.d7.loss_mask: 0.7584, decode.d7.loss_dice: 1.0875, decode.d8.loss_cls: 0.8364, decode.d8.loss_mask: 0.7628, decode.d8.loss_dice: 1.0878, loss: 30.0605 2022-06-21 18:00:52,391 - mmseg - INFO - per class results: 2022-06-21 18:00:52,401 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.1 | 94.15 | | bicycle | 70.61 | 88.32 | | car | 59.73 | 69.4 | | motorcycle | 81.82 | 88.96 | | airplane | 83.89 | 95.36 | | bus | 83.93 | 90.71 | | train | 77.96 | 95.55 | | truck | 75.32 | 87.56 | | boat | 76.88 | 86.26 | | traffic light | 74.49 | 89.85 | | fire hydrant | 92.97 | 97.4 | | stop sign | 94.43 | 96.91 | | parking meter | 87.19 | 92.48 | | bench | 46.45 | 66.52 | | bird | 75.83 | 81.51 | | cat | 92.25 | 95.65 | | dog | 89.85 | 95.11 | | horse | 91.75 | 95.69 | | sheep | 87.37 | 90.36 | | cow | 95.71 | 98.33 | | elephant | 92.5 | 96.13 | | bear | 92.4 | 94.37 | | zebra | 91.9 | 95.67 | | giraffe | 87.63 | 93.26 | | backpack | 23.6 | 56.25 | | umbrella | 78.37 | 86.44 | | handbag | 26.19 | 54.06 | | tie | 0.0 | 0.0 | | suitcase | 82.27 | 91.21 | | frisbee | 92.07 | 97.15 | | skis | 33.37 | 48.9 | | snowboard | 59.84 | 77.53 | | sports ball | 73.34 | 91.76 | | kite | 79.73 | 85.35 | | baseball bat | 54.45 | 72.16 | | baseball glove | 2.33 | 2.45 | | skateboard | 67.08 | 82.97 | | surfboard | 88.86 | 94.53 | | tennis racket | 77.09 | 80.82 | | bottle | 59.32 | 74.13 | | wine glass | 82.76 | 93.97 | | cup | 54.18 | 71.95 | | fork | 42.9 | 56.98 | | knife | 69.71 | 87.28 | | spoon | 44.4 | 65.99 | | bowl | 49.83 | 67.47 | | banana | 63.51 | 75.83 | | apple | 74.18 | 85.48 | | sandwich | 87.12 | 97.55 | | orange | 62.4 | 81.65 | | broccoli | 90.71 | 98.06 | | carrot | 59.89 | 85.37 | | hot dog | 53.25 | 96.51 | | pizza | 94.37 | 95.99 | | donut | 71.7 | 85.91 | | cake | 73.8 | 86.31 | | chair | 59.36 | 75.95 | | couch | 67.33 | 88.38 | | potted plant | 31.33 | 38.13 | | bed | 70.56 | 81.58 | | dining table | 56.07 | 78.27 | | toilet | 86.71 | 95.2 | | tv | 69.8 | 93.74 | | laptop | 85.01 | 93.9 | | mouse | 49.87 | 54.15 | | remote | 68.94 | 95.55 | | keyboard | 88.34 | 96.83 | | cell phone | 78.04 | 93.92 | | microwave | 69.0 | 73.31 | | oven | 64.18 | 84.41 | | toaster | 0.0 | 0.0 | | sink | 65.85 | 74.0 | | refrigerator | 82.88 | 94.98 | | book | 72.18 | 90.64 | | clock | 77.81 | 81.2 | | vase | 58.51 | 94.34 | | scissors | 78.65 | 93.46 | | teddy bear | 86.92 | 92.59 | | hair drier | 0.0 | 0.0 | | toothbrush | 15.74 | 22.91 | | banner | 26.34 | 53.04 | | blanket | 16.05 | 17.54 | | branch | 26.94 | 27.6 | | bridge | 5.9 | 10.09 | | building-other | 55.45 | 78.98 | | bush | 39.44 | 53.83 | | cabinet | 22.78 | 42.38 | | cage | 0.0 | 0.0 | | cardboard | 17.45 | 29.85 | | carpet | 53.74 | 68.16 | | ceiling-other | 70.08 | 82.22 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 23.7 | 31.83 | | clouds | 51.0 | 64.3 | | counter | 25.32 | 30.22 | | cupboard | 57.71 | 70.96 | | curtain | 62.37 | 80.98 | | desk-stuff | 26.89 | 31.46 | | dirt | 36.71 | 60.49 | | door-stuff | 43.01 | 55.98 | | fence | 44.11 | 74.01 | | floor-marble | 0.0 | 0.0 | | floor-other | 36.21 | 56.07 | | floor-stone | 11.81 | 11.84 | | floor-tile | 61.98 | 74.32 | | floor-wood | 68.18 | 75.9 | | flower | 17.92 | 49.75 | | fog | 0.0 | 0.0 | | food-other | 38.61 | 66.14 | | fruit | 31.03 | 32.72 | | furniture-other | 19.7 | 31.63 | | grass | 74.73 | 84.04 | | gravel | 25.82 | 31.4 | | ground-other | 8.29 | 19.71 | | hill | 24.38 | 37.93 | | house | 32.42 | 48.98 | | leaves | 14.36 | 19.87 | | light | 40.26 | 52.36 | | mat | 8.87 | 14.67 | | metal | 19.21 | 30.57 | | mirror-stuff | 30.27 | 45.43 | | moss | 0.0 | 0.0 | | mountain | 28.1 | 48.17 | | mud | 0.0 | 0.0 | | napkin | 39.72 | 68.8 | | net | 36.21 | 40.32 | | paper | 24.74 | 34.49 | | pavement | 41.67 | 55.1 | | pillow | 0.0 | 0.0 | | plant-other | 32.95 | 50.19 | | plastic | 8.25 | 10.68 | | platform | 26.38 | 45.19 | | playingfield | 70.2 | 80.88 | | railing | 18.49 | 31.02 | | railroad | 58.0 | 86.03 | | river | 17.5 | 22.44 | | road | 70.09 | 79.14 | | rock | 43.64 | 65.9 | | roof | 9.13 | 18.93 | | rug | 44.33 | 55.0 | | salad | 19.84 | 19.84 | | sand | 72.11 | 86.47 | | sea | 70.37 | 91.75 | | shelf | 22.89 | 43.39 | | sky-other | 61.7 | 79.08 | | skyscraper | 12.93 | 15.65 | | snow | 92.03 | 93.82 | | solid-other | nan | nan | | stairs | 24.17 | 37.09 | | stone | 7.15 | 12.42 | | straw | 14.93 | 33.39 | | structural-other | 13.27 | 21.68 | | table | 12.53 | 19.93 | | tent | 32.54 | 50.07 | | textile-other | 19.64 | 30.14 | | towel | 29.92 | 42.71 | | tree | 78.56 | 87.84 | | vegetable | 31.41 | 48.89 | | wall-brick | 43.8 | 58.33 | | wall-concrete | 24.43 | 32.05 | | wall-other | 62.29 | 76.85 | | wall-panel | 0.0 | 0.0 | | wall-stone | 22.82 | 26.92 | | wall-tile | 50.98 | 80.85 | | wall-wood | 41.88 | 68.84 | | water-other | 21.57 | 30.43 | | waterdrops | nan | nan | | window-blind | 29.86 | 72.04 | | window-other | 50.94 | 63.77 | | wood | 15.27 | 28.89 | +------------------+-------+-------+ 2022-06-21 18:00:52,401 - mmseg - INFO - Summary: 2022-06-21 18:00:52,401 - mmseg - INFO - +------+------+-------+ | aAcc | mIoU | mAcc | +------+------+-------+ | 74.2 | 48.9 | 60.85 | +------+------+-------+ 2022-06-21 18:00:52,405 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:00:52,406 - mmseg - INFO - Iter(val) [125] aAcc: 0.7420, mIoU: 0.4890, mAcc: 0.6085, IoU.person: 0.8710, IoU.bicycle: 0.7061, IoU.car: 0.5973, IoU.motorcycle: 0.8182, IoU.airplane: 0.8389, IoU.bus: 0.8393, IoU.train: 0.7796, IoU.truck: 0.7532, IoU.boat: 0.7688, IoU.traffic light: 0.7449, IoU.fire hydrant: 0.9297, IoU.stop sign: 0.9443, IoU.parking meter: 0.8719, IoU.bench: 0.4645, IoU.bird: 0.7583, IoU.cat: 0.9225, IoU.dog: 0.8985, IoU.horse: 0.9175, IoU.sheep: 0.8737, IoU.cow: 0.9571, IoU.elephant: 0.9250, IoU.bear: 0.9240, IoU.zebra: 0.9190, IoU.giraffe: 0.8763, IoU.backpack: 0.2360, IoU.umbrella: 0.7837, IoU.handbag: 0.2619, IoU.tie: 0.0000, IoU.suitcase: 0.8227, IoU.frisbee: 0.9207, IoU.skis: 0.3337, IoU.snowboard: 0.5984, IoU.sports ball: 0.7334, IoU.kite: 0.7973, IoU.baseball bat: 0.5445, IoU.baseball glove: 0.0233, IoU.skateboard: 0.6708, IoU.surfboard: 0.8886, IoU.tennis racket: 0.7709, IoU.bottle: 0.5932, IoU.wine glass: 0.8276, IoU.cup: 0.5418, IoU.fork: 0.4290, IoU.knife: 0.6971, IoU.spoon: 0.4440, IoU.bowl: 0.4983, IoU.banana: 0.6351, IoU.apple: 0.7418, IoU.sandwich: 0.8712, IoU.orange: 0.6240, IoU.broccoli: 0.9071, IoU.carrot: 0.5989, IoU.hot dog: 0.5325, IoU.pizza: 0.9437, IoU.donut: 0.7170, IoU.cake: 0.7380, IoU.chair: 0.5936, IoU.couch: 0.6733, IoU.potted plant: 0.3133, IoU.bed: 0.7056, IoU.dining table: 0.5607, IoU.toilet: 0.8671, IoU.tv: 0.6980, IoU.laptop: 0.8501, IoU.mouse: 0.4987, IoU.remote: 0.6894, IoU.keyboard: 0.8834, IoU.cell phone: 0.7804, IoU.microwave: 0.6900, IoU.oven: 0.6418, IoU.toaster: 0.0000, IoU.sink: 0.6585, IoU.refrigerator: 0.8288, IoU.book: 0.7218, IoU.clock: 0.7781, IoU.vase: 0.5851, IoU.scissors: 0.7865, IoU.teddy bear: 0.8692, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1574, IoU.banner: 0.2634, IoU.blanket: 0.1605, IoU.branch: 0.2694, IoU.bridge: 0.0590, IoU.building-other: 0.5545, IoU.bush: 0.3944, IoU.cabinet: 0.2278, IoU.cage: 0.0000, IoU.cardboard: 0.1745, IoU.carpet: 0.5374, IoU.ceiling-other: 0.7008, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2370, IoU.clouds: 0.5100, IoU.counter: 0.2532, IoU.cupboard: 0.5771, IoU.curtain: 0.6237, IoU.desk-stuff: 0.2689, IoU.dirt: 0.3671, IoU.door-stuff: 0.4301, IoU.fence: 0.4411, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3621, IoU.floor-stone: 0.1181, IoU.floor-tile: 0.6198, IoU.floor-wood: 0.6818, IoU.flower: 0.1792, IoU.fog: 0.0000, IoU.food-other: 0.3861, IoU.fruit: 0.3103, IoU.furniture-other: 0.1970, IoU.grass: 0.7473, IoU.gravel: 0.2582, IoU.ground-other: 0.0829, IoU.hill: 0.2438, IoU.house: 0.3242, IoU.leaves: 0.1436, IoU.light: 0.4026, IoU.mat: 0.0887, IoU.metal: 0.1921, IoU.mirror-stuff: 0.3027, IoU.moss: 0.0000, IoU.mountain: 0.2810, IoU.mud: 0.0000, IoU.napkin: 0.3972, IoU.net: 0.3621, IoU.paper: 0.2474, IoU.pavement: 0.4167, IoU.pillow: 0.0000, IoU.plant-other: 0.3295, IoU.plastic: 0.0825, IoU.platform: 0.2638, IoU.playingfield: 0.7020, IoU.railing: 0.1849, IoU.railroad: 0.5800, IoU.river: 0.1750, IoU.road: 0.7009, IoU.rock: 0.4364, IoU.roof: 0.0913, IoU.rug: 0.4433, IoU.salad: 0.1984, IoU.sand: 0.7211, IoU.sea: 0.7037, IoU.shelf: 0.2289, IoU.sky-other: 0.6170, IoU.skyscraper: 0.1293, IoU.snow: 0.9203, IoU.solid-other: nan, IoU.stairs: 0.2417, IoU.stone: 0.0715, IoU.straw: 0.1493, IoU.structural-other: 0.1327, IoU.table: 0.1253, IoU.tent: 0.3254, IoU.textile-other: 0.1964, IoU.towel: 0.2992, IoU.tree: 0.7856, IoU.vegetable: 0.3141, IoU.wall-brick: 0.4380, IoU.wall-concrete: 0.2443, IoU.wall-other: 0.6229, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2282, IoU.wall-tile: 0.5098, IoU.wall-wood: 0.4188, IoU.water-other: 0.2157, IoU.waterdrops: nan, IoU.window-blind: 0.2986, IoU.window-other: 0.5094, IoU.wood: 0.1527, Acc.person: 0.9415, Acc.bicycle: 0.8832, Acc.car: 0.6940, Acc.motorcycle: 0.8896, Acc.airplane: 0.9536, Acc.bus: 0.9071, Acc.train: 0.9555, Acc.truck: 0.8756, Acc.boat: 0.8626, Acc.traffic light: 0.8985, Acc.fire hydrant: 0.9740, Acc.stop sign: 0.9691, Acc.parking meter: 0.9248, Acc.bench: 0.6652, Acc.bird: 0.8151, Acc.cat: 0.9565, Acc.dog: 0.9511, Acc.horse: 0.9569, Acc.sheep: 0.9036, Acc.cow: 0.9833, Acc.elephant: 0.9613, Acc.bear: 0.9437, Acc.zebra: 0.9567, Acc.giraffe: 0.9326, Acc.backpack: 0.5625, Acc.umbrella: 0.8644, Acc.handbag: 0.5406, Acc.tie: 0.0000, Acc.suitcase: 0.9121, Acc.frisbee: 0.9715, Acc.skis: 0.4890, Acc.snowboard: 0.7753, Acc.sports ball: 0.9176, Acc.kite: 0.8535, Acc.baseball bat: 0.7216, Acc.baseball glove: 0.0245, Acc.skateboard: 0.8297, Acc.surfboard: 0.9453, Acc.tennis racket: 0.8082, Acc.bottle: 0.7413, Acc.wine glass: 0.9397, Acc.cup: 0.7195, Acc.fork: 0.5698, Acc.knife: 0.8728, Acc.spoon: 0.6599, Acc.bowl: 0.6747, Acc.banana: 0.7583, Acc.apple: 0.8548, Acc.sandwich: 0.9755, Acc.orange: 0.8165, Acc.broccoli: 0.9806, Acc.carrot: 0.8537, Acc.hot dog: 0.9651, Acc.pizza: 0.9599, Acc.donut: 0.8591, Acc.cake: 0.8631, Acc.chair: 0.7595, Acc.couch: 0.8838, Acc.potted plant: 0.3813, Acc.bed: 0.8158, Acc.dining table: 0.7827, Acc.toilet: 0.9520, Acc.tv: 0.9374, Acc.laptop: 0.9390, Acc.mouse: 0.5415, Acc.remote: 0.9555, Acc.keyboard: 0.9683, Acc.cell phone: 0.9392, Acc.microwave: 0.7331, Acc.oven: 0.8441, Acc.toaster: 0.0000, Acc.sink: 0.7400, Acc.refrigerator: 0.9498, Acc.book: 0.9064, Acc.clock: 0.8120, Acc.vase: 0.9434, Acc.scissors: 0.9346, Acc.teddy bear: 0.9259, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2291, Acc.banner: 0.5304, Acc.blanket: 0.1754, Acc.branch: 0.2760, Acc.bridge: 0.1009, Acc.building-other: 0.7898, Acc.bush: 0.5383, Acc.cabinet: 0.4238, Acc.cage: 0.0000, Acc.cardboard: 0.2985, Acc.carpet: 0.6816, Acc.ceiling-other: 0.8222, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3183, Acc.clouds: 0.6430, Acc.counter: 0.3022, Acc.cupboard: 0.7096, Acc.curtain: 0.8098, Acc.desk-stuff: 0.3146, Acc.dirt: 0.6049, Acc.door-stuff: 0.5598, Acc.fence: 0.7401, Acc.floor-marble: 0.0000, Acc.floor-other: 0.5607, Acc.floor-stone: 0.1184, Acc.floor-tile: 0.7432, Acc.floor-wood: 0.7590, Acc.flower: 0.4975, Acc.fog: 0.0000, Acc.food-other: 0.6614, Acc.fruit: 0.3272, Acc.furniture-other: 0.3163, Acc.grass: 0.8404, Acc.gravel: 0.3140, Acc.ground-other: 0.1971, Acc.hill: 0.3793, Acc.house: 0.4898, Acc.leaves: 0.1987, Acc.light: 0.5236, Acc.mat: 0.1467, Acc.metal: 0.3057, Acc.mirror-stuff: 0.4543, Acc.moss: 0.0000, Acc.mountain: 0.4817, Acc.mud: 0.0000, Acc.napkin: 0.6880, Acc.net: 0.4032, Acc.paper: 0.3449, Acc.pavement: 0.5510, Acc.pillow: 0.0000, Acc.plant-other: 0.5019, Acc.plastic: 0.1068, Acc.platform: 0.4519, Acc.playingfield: 0.8088, Acc.railing: 0.3102, Acc.railroad: 0.8603, Acc.river: 0.2244, Acc.road: 0.7914, Acc.rock: 0.6590, Acc.roof: 0.1893, Acc.rug: 0.5500, Acc.salad: 0.1984, Acc.sand: 0.8647, Acc.sea: 0.9175, Acc.shelf: 0.4339, Acc.sky-other: 0.7908, Acc.skyscraper: 0.1565, Acc.snow: 0.9382, Acc.solid-other: nan, Acc.stairs: 0.3709, Acc.stone: 0.1242, Acc.straw: 0.3339, Acc.structural-other: 0.2168, Acc.table: 0.1993, Acc.tent: 0.5007, Acc.textile-other: 0.3014, Acc.towel: 0.4271, Acc.tree: 0.8784, Acc.vegetable: 0.4889, Acc.wall-brick: 0.5833, Acc.wall-concrete: 0.3205, Acc.wall-other: 0.7685, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2692, Acc.wall-tile: 0.8085, Acc.wall-wood: 0.6884, Acc.water-other: 0.3043, Acc.waterdrops: nan, Acc.window-blind: 0.7204, Acc.window-other: 0.6377, Acc.wood: 0.2889 2022-06-21 18:01:18,857 - mmseg - INFO - Iter [28050/40000] lr: 4.601e-06, eta: 1:48:01, time: 0.914, data_time: 0.394, memory: 40943, decode.loss_cls: 0.8538, decode.loss_mask: 0.7735, decode.loss_dice: 1.0896, decode.d0.loss_cls: 3.1170, decode.d0.loss_mask: 0.8170, decode.d0.loss_dice: 1.2711, decode.d1.loss_cls: 1.1704, decode.d1.loss_mask: 0.8019, decode.d1.loss_dice: 1.1644, decode.d2.loss_cls: 0.9963, decode.d2.loss_mask: 0.7854, decode.d2.loss_dice: 1.1115, decode.d3.loss_cls: 0.9154, decode.d3.loss_mask: 0.7811, decode.d3.loss_dice: 1.0932, decode.d4.loss_cls: 0.9063, decode.d4.loss_mask: 0.7777, decode.d4.loss_dice: 1.0969, decode.d5.loss_cls: 0.8745, decode.d5.loss_mask: 0.7772, decode.d5.loss_dice: 1.0950, decode.d6.loss_cls: 0.8645, decode.d6.loss_mask: 0.7735, decode.d6.loss_dice: 1.0874, decode.d7.loss_cls: 0.8517, decode.d7.loss_mask: 0.7737, decode.d7.loss_dice: 1.0914, decode.d8.loss_cls: 0.8516, decode.d8.loss_mask: 0.7727, decode.d8.loss_dice: 1.0892, loss: 30.4247 2022-06-21 18:01:44,411 - mmseg - INFO - Iter [28100/40000] lr: 4.582e-06, eta: 1:47:34, time: 0.511, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7875, decode.loss_mask: 0.7560, decode.loss_dice: 1.0656, decode.d0.loss_cls: 3.0382, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.2279, decode.d1.loss_cls: 1.1173, decode.d1.loss_mask: 0.7816, decode.d1.loss_dice: 1.1323, decode.d2.loss_cls: 0.9297, decode.d2.loss_mask: 0.7638, decode.d2.loss_dice: 1.0915, decode.d3.loss_cls: 0.8619, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.0838, decode.d4.loss_cls: 0.8279, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.0809, decode.d5.loss_cls: 0.8187, decode.d5.loss_mask: 0.7560, decode.d5.loss_dice: 1.0745, decode.d6.loss_cls: 0.8094, decode.d6.loss_mask: 0.7561, decode.d6.loss_dice: 1.0698, decode.d7.loss_cls: 0.7980, decode.d7.loss_mask: 0.7552, decode.d7.loss_dice: 1.0693, decode.d8.loss_cls: 0.7904, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.0672, loss: 29.3791 2022-06-21 18:02:13,569 - mmseg - INFO - Iter [28150/40000] lr: 4.563e-06, eta: 1:47:07, time: 0.583, data_time: 0.062, memory: 40943, decode.loss_cls: 0.7962, decode.loss_mask: 0.7755, decode.loss_dice: 1.1072, decode.d0.loss_cls: 3.0337, decode.d0.loss_mask: 0.8223, decode.d0.loss_dice: 1.2778, decode.d1.loss_cls: 1.1149, decode.d1.loss_mask: 0.8026, decode.d1.loss_dice: 1.1848, decode.d2.loss_cls: 0.9581, decode.d2.loss_mask: 0.7836, decode.d2.loss_dice: 1.1393, decode.d3.loss_cls: 0.8852, decode.d3.loss_mask: 0.7804, decode.d3.loss_dice: 1.1266, decode.d4.loss_cls: 0.8624, decode.d4.loss_mask: 0.7806, decode.d4.loss_dice: 1.1183, decode.d5.loss_cls: 0.8331, decode.d5.loss_mask: 0.7775, decode.d5.loss_dice: 1.1161, decode.d6.loss_cls: 0.8102, decode.d6.loss_mask: 0.7778, decode.d6.loss_dice: 1.1073, decode.d7.loss_cls: 0.8078, decode.d7.loss_mask: 0.7723, decode.d7.loss_dice: 1.1116, decode.d8.loss_cls: 0.8014, decode.d8.loss_mask: 0.7761, decode.d8.loss_dice: 1.1101, loss: 30.1508 2022-06-21 18:02:40,364 - mmseg - INFO - Iter [28200/40000] lr: 4.543e-06, eta: 1:46:40, time: 0.536, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8181, decode.loss_mask: 0.7909, decode.loss_dice: 1.0860, decode.d0.loss_cls: 3.0306, decode.d0.loss_mask: 0.8455, decode.d0.loss_dice: 1.2487, decode.d1.loss_cls: 1.1449, decode.d1.loss_mask: 0.8229, decode.d1.loss_dice: 1.1472, decode.d2.loss_cls: 0.9693, decode.d2.loss_mask: 0.8030, decode.d2.loss_dice: 1.1050, decode.d3.loss_cls: 0.9023, decode.d3.loss_mask: 0.8000, decode.d3.loss_dice: 1.0913, decode.d4.loss_cls: 0.8807, decode.d4.loss_mask: 0.7984, decode.d4.loss_dice: 1.0884, decode.d5.loss_cls: 0.8552, decode.d5.loss_mask: 0.7952, decode.d5.loss_dice: 1.0949, decode.d6.loss_cls: 0.8428, decode.d6.loss_mask: 0.7938, decode.d6.loss_dice: 1.0786, decode.d7.loss_cls: 0.8311, decode.d7.loss_mask: 0.7931, decode.d7.loss_dice: 1.0909, decode.d8.loss_cls: 0.8207, decode.d8.loss_mask: 0.7967, decode.d8.loss_dice: 1.0806, loss: 30.2464 2022-06-21 18:03:06,893 - mmseg - INFO - Iter [28250/40000] lr: 4.524e-06, eta: 1:46:13, time: 0.530, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8384, decode.loss_mask: 0.7757, decode.loss_dice: 1.1479, decode.d0.loss_cls: 3.1014, decode.d0.loss_mask: 0.8270, decode.d0.loss_dice: 1.3284, decode.d1.loss_cls: 1.1637, decode.d1.loss_mask: 0.8033, decode.d1.loss_dice: 1.2280, decode.d2.loss_cls: 0.9794, decode.d2.loss_mask: 0.7887, decode.d2.loss_dice: 1.1739, decode.d3.loss_cls: 0.9038, decode.d3.loss_mask: 0.7869, decode.d3.loss_dice: 1.1593, decode.d4.loss_cls: 0.8869, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.1553, decode.d5.loss_cls: 0.8650, decode.d5.loss_mask: 0.7786, decode.d5.loss_dice: 1.1495, decode.d6.loss_cls: 0.8517, decode.d6.loss_mask: 0.7800, decode.d6.loss_dice: 1.1440, decode.d7.loss_cls: 0.8460, decode.d7.loss_mask: 0.7781, decode.d7.loss_dice: 1.1489, decode.d8.loss_cls: 0.8486, decode.d8.loss_mask: 0.7750, decode.d8.loss_dice: 1.1401, loss: 30.9350 2022-06-21 18:03:32,862 - mmseg - INFO - Iter [28300/40000] lr: 4.505e-06, eta: 1:45:45, time: 0.519, data_time: 0.012, memory: 40943, decode.loss_cls: 0.8099, decode.loss_mask: 0.7947, decode.loss_dice: 1.1000, decode.d0.loss_cls: 3.0621, decode.d0.loss_mask: 0.8463, decode.d0.loss_dice: 1.2759, decode.d1.loss_cls: 1.1340, decode.d1.loss_mask: 0.8253, decode.d1.loss_dice: 1.1676, decode.d2.loss_cls: 0.9560, decode.d2.loss_mask: 0.8068, decode.d2.loss_dice: 1.1316, decode.d3.loss_cls: 0.8832, decode.d3.loss_mask: 0.8011, decode.d3.loss_dice: 1.1119, decode.d4.loss_cls: 0.8580, decode.d4.loss_mask: 0.7954, decode.d4.loss_dice: 1.1176, decode.d5.loss_cls: 0.8360, decode.d5.loss_mask: 0.7925, decode.d5.loss_dice: 1.1132, decode.d6.loss_cls: 0.8235, decode.d6.loss_mask: 0.7963, decode.d6.loss_dice: 1.1077, decode.d7.loss_cls: 0.8183, decode.d7.loss_mask: 0.7937, decode.d7.loss_dice: 1.1040, decode.d8.loss_cls: 0.8127, decode.d8.loss_mask: 0.7959, decode.d8.loss_dice: 1.1079, loss: 30.3790 2022-06-21 18:03:58,125 - mmseg - INFO - Iter [28350/40000] lr: 4.486e-06, eta: 1:45:17, time: 0.506, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8324, decode.loss_mask: 0.7636, decode.loss_dice: 1.0843, decode.d0.loss_cls: 3.0748, decode.d0.loss_mask: 0.8162, decode.d0.loss_dice: 1.2799, decode.d1.loss_cls: 1.1520, decode.d1.loss_mask: 0.7972, decode.d1.loss_dice: 1.1680, decode.d2.loss_cls: 0.9908, decode.d2.loss_mask: 0.7783, decode.d2.loss_dice: 1.1118, decode.d3.loss_cls: 0.9094, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.0916, decode.d4.loss_cls: 0.8822, decode.d4.loss_mask: 0.7688, decode.d4.loss_dice: 1.0926, decode.d5.loss_cls: 0.8670, decode.d5.loss_mask: 0.7696, decode.d5.loss_dice: 1.0891, decode.d6.loss_cls: 0.8468, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.0814, decode.d7.loss_cls: 0.8427, decode.d7.loss_mask: 0.7676, decode.d7.loss_dice: 1.0854, decode.d8.loss_cls: 0.8323, decode.d8.loss_mask: 0.7652, decode.d8.loss_dice: 1.0863, loss: 30.1711 2022-06-21 18:04:25,080 - mmseg - INFO - Iter [28400/40000] lr: 4.466e-06, eta: 1:44:50, time: 0.539, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8180, decode.loss_mask: 0.7673, decode.loss_dice: 1.0786, decode.d0.loss_cls: 3.0325, decode.d0.loss_mask: 0.8071, decode.d0.loss_dice: 1.2476, decode.d1.loss_cls: 1.1459, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.1544, decode.d2.loss_cls: 0.9564, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.1151, decode.d3.loss_cls: 0.8934, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.0965, decode.d4.loss_cls: 0.8771, decode.d4.loss_mask: 0.7691, decode.d4.loss_dice: 1.0928, decode.d5.loss_cls: 0.8431, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.0918, decode.d6.loss_cls: 0.8350, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.0838, decode.d7.loss_cls: 0.8281, decode.d7.loss_mask: 0.7680, decode.d7.loss_dice: 1.0802, decode.d8.loss_cls: 0.8196, decode.d8.loss_mask: 0.7667, decode.d8.loss_dice: 1.0873, loss: 29.9436 2022-06-21 18:04:52,000 - mmseg - INFO - Iter [28450/40000] lr: 4.447e-06, eta: 1:44:23, time: 0.539, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8151, decode.loss_mask: 0.7772, decode.loss_dice: 1.0978, decode.d0.loss_cls: 3.0464, decode.d0.loss_mask: 0.8265, decode.d0.loss_dice: 1.2621, decode.d1.loss_cls: 1.1539, decode.d1.loss_mask: 0.8075, decode.d1.loss_dice: 1.1620, decode.d2.loss_cls: 0.9697, decode.d2.loss_mask: 0.7900, decode.d2.loss_dice: 1.1199, decode.d3.loss_cls: 0.8952, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.1137, decode.d4.loss_cls: 0.8674, decode.d4.loss_mask: 0.7857, decode.d4.loss_dice: 1.1079, decode.d5.loss_cls: 0.8592, decode.d5.loss_mask: 0.7800, decode.d5.loss_dice: 1.1027, decode.d6.loss_cls: 0.8360, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.1020, decode.d7.loss_cls: 0.8260, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.1049, decode.d8.loss_cls: 0.8229, decode.d8.loss_mask: 0.7769, decode.d8.loss_dice: 1.0941, loss: 30.2411 2022-06-21 18:05:19,493 - mmseg - INFO - Iter [28500/40000] lr: 4.428e-06, eta: 1:43:56, time: 0.550, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8711, decode.loss_mask: 0.8033, decode.loss_dice: 1.1109, decode.d0.loss_cls: 3.0817, decode.d0.loss_mask: 0.8573, decode.d0.loss_dice: 1.2866, decode.d1.loss_cls: 1.1964, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.1819, decode.d2.loss_cls: 1.0269, decode.d2.loss_mask: 0.8186, decode.d2.loss_dice: 1.1393, decode.d3.loss_cls: 0.9344, decode.d3.loss_mask: 0.8152, decode.d3.loss_dice: 1.1275, decode.d4.loss_cls: 0.9078, decode.d4.loss_mask: 0.8116, decode.d4.loss_dice: 1.1233, decode.d5.loss_cls: 0.8945, decode.d5.loss_mask: 0.8076, decode.d5.loss_dice: 1.1130, decode.d6.loss_cls: 0.8833, decode.d6.loss_mask: 0.8085, decode.d6.loss_dice: 1.1134, decode.d7.loss_cls: 0.8731, decode.d7.loss_mask: 0.8045, decode.d7.loss_dice: 1.1180, decode.d8.loss_cls: 0.8725, decode.d8.loss_mask: 0.7987, decode.d8.loss_dice: 1.1115, loss: 31.1284 2022-06-21 18:05:47,444 - mmseg - INFO - Iter [28550/40000] lr: 4.409e-06, eta: 1:43:29, time: 0.559, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8393, decode.loss_mask: 0.7810, decode.loss_dice: 1.0842, decode.d0.loss_cls: 3.0835, decode.d0.loss_mask: 0.8250, decode.d0.loss_dice: 1.2618, decode.d1.loss_cls: 1.1504, decode.d1.loss_mask: 0.7991, decode.d1.loss_dice: 1.1508, decode.d2.loss_cls: 0.9712, decode.d2.loss_mask: 0.7798, decode.d2.loss_dice: 1.1052, decode.d3.loss_cls: 0.9098, decode.d3.loss_mask: 0.7811, decode.d3.loss_dice: 1.0984, decode.d4.loss_cls: 0.8829, decode.d4.loss_mask: 0.7826, decode.d4.loss_dice: 1.1002, decode.d5.loss_cls: 0.8599, decode.d5.loss_mask: 0.7821, decode.d5.loss_dice: 1.0947, decode.d6.loss_cls: 0.8480, decode.d6.loss_mask: 0.7778, decode.d6.loss_dice: 1.0842, decode.d7.loss_cls: 0.8450, decode.d7.loss_mask: 0.7751, decode.d7.loss_dice: 1.0827, decode.d8.loss_cls: 0.8349, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.0881, loss: 30.2373 2022-06-21 18:06:16,812 - mmseg - INFO - Iter [28600/40000] lr: 4.389e-06, eta: 1:43:03, time: 0.587, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8325, decode.loss_mask: 0.7585, decode.loss_dice: 1.1013, decode.d0.loss_cls: 3.0376, decode.d0.loss_mask: 0.8055, decode.d0.loss_dice: 1.2832, decode.d1.loss_cls: 1.1662, decode.d1.loss_mask: 0.7940, decode.d1.loss_dice: 1.1737, decode.d2.loss_cls: 0.9801, decode.d2.loss_mask: 0.7787, decode.d2.loss_dice: 1.1210, decode.d3.loss_cls: 0.9154, decode.d3.loss_mask: 0.7723, decode.d3.loss_dice: 1.1109, decode.d4.loss_cls: 0.8820, decode.d4.loss_mask: 0.7700, decode.d4.loss_dice: 1.1093, decode.d5.loss_cls: 0.8696, decode.d5.loss_mask: 0.7682, decode.d5.loss_dice: 1.1119, decode.d6.loss_cls: 0.8557, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.0980, decode.d7.loss_cls: 0.8345, decode.d7.loss_mask: 0.7594, decode.d7.loss_dice: 1.1071, decode.d8.loss_cls: 0.8435, decode.d8.loss_mask: 0.7617, decode.d8.loss_dice: 1.1056, loss: 30.2689 2022-06-21 18:06:46,355 - mmseg - INFO - Iter [28650/40000] lr: 4.370e-06, eta: 1:42:37, time: 0.590, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7899, decode.loss_mask: 0.7912, decode.loss_dice: 1.1065, decode.d0.loss_cls: 3.0469, decode.d0.loss_mask: 0.8320, decode.d0.loss_dice: 1.2729, decode.d1.loss_cls: 1.1166, decode.d1.loss_mask: 0.8173, decode.d1.loss_dice: 1.1766, decode.d2.loss_cls: 0.9403, decode.d2.loss_mask: 0.8028, decode.d2.loss_dice: 1.1308, decode.d3.loss_cls: 0.8691, decode.d3.loss_mask: 0.7953, decode.d3.loss_dice: 1.1107, decode.d4.loss_cls: 0.8424, decode.d4.loss_mask: 0.7958, decode.d4.loss_dice: 1.1149, decode.d5.loss_cls: 0.8226, decode.d5.loss_mask: 0.7932, decode.d5.loss_dice: 1.1113, decode.d6.loss_cls: 0.8076, decode.d6.loss_mask: 0.7952, decode.d6.loss_dice: 1.1017, decode.d7.loss_cls: 0.7970, decode.d7.loss_mask: 0.7936, decode.d7.loss_dice: 1.1036, decode.d8.loss_cls: 0.7949, decode.d8.loss_mask: 0.7929, decode.d8.loss_dice: 1.1049, loss: 30.1704 2022-06-21 18:07:18,559 - mmseg - INFO - Iter [28700/40000] lr: 4.351e-06, eta: 1:42:12, time: 0.644, data_time: 0.059, memory: 40943, decode.loss_cls: 0.8217, decode.loss_mask: 0.7645, decode.loss_dice: 1.0807, decode.d0.loss_cls: 3.0462, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.2514, decode.d1.loss_cls: 1.1373, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.1502, decode.d2.loss_cls: 0.9640, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.1097, decode.d3.loss_cls: 0.9042, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.0957, decode.d4.loss_cls: 0.8823, decode.d4.loss_mask: 0.7656, decode.d4.loss_dice: 1.0934, decode.d5.loss_cls: 0.8504, decode.d5.loss_mask: 0.7665, decode.d5.loss_dice: 1.0893, decode.d6.loss_cls: 0.8371, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.0892, decode.d7.loss_cls: 0.8202, decode.d7.loss_mask: 0.7656, decode.d7.loss_dice: 1.0926, decode.d8.loss_cls: 0.8233, decode.d8.loss_mask: 0.7662, decode.d8.loss_dice: 1.0857, loss: 29.9801 2022-06-21 18:07:50,500 - mmseg - INFO - Iter [28750/40000] lr: 4.332e-06, eta: 1:41:46, time: 0.639, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8491, decode.loss_mask: 0.7722, decode.loss_dice: 1.0892, decode.d0.loss_cls: 3.0562, decode.d0.loss_mask: 0.8156, decode.d0.loss_dice: 1.2593, decode.d1.loss_cls: 1.1906, decode.d1.loss_mask: 0.8011, decode.d1.loss_dice: 1.1626, decode.d2.loss_cls: 1.0119, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.1137, decode.d3.loss_cls: 0.9331, decode.d3.loss_mask: 0.7791, decode.d3.loss_dice: 1.0972, decode.d4.loss_cls: 0.9034, decode.d4.loss_mask: 0.7777, decode.d4.loss_dice: 1.0970, decode.d5.loss_cls: 0.8823, decode.d5.loss_mask: 0.7742, decode.d5.loss_dice: 1.0971, decode.d6.loss_cls: 0.8637, decode.d6.loss_mask: 0.7756, decode.d6.loss_dice: 1.0918, decode.d7.loss_cls: 0.8551, decode.d7.loss_mask: 0.7708, decode.d7.loss_dice: 1.0954, decode.d8.loss_cls: 0.8432, decode.d8.loss_mask: 0.7714, decode.d8.loss_dice: 1.0982, loss: 30.4093 2022-06-21 18:08:19,396 - mmseg - INFO - Iter [28800/40000] lr: 4.312e-06, eta: 1:41:20, time: 0.579, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8100, decode.loss_mask: 0.7911, decode.loss_dice: 1.0992, decode.d0.loss_cls: 3.0940, decode.d0.loss_mask: 0.8265, decode.d0.loss_dice: 1.2626, decode.d1.loss_cls: 1.1396, decode.d1.loss_mask: 0.8181, decode.d1.loss_dice: 1.1688, decode.d2.loss_cls: 0.9575, decode.d2.loss_mask: 0.7986, decode.d2.loss_dice: 1.1328, decode.d3.loss_cls: 0.8884, decode.d3.loss_mask: 0.7949, decode.d3.loss_dice: 1.1115, decode.d4.loss_cls: 0.8536, decode.d4.loss_mask: 0.7952, decode.d4.loss_dice: 1.1150, decode.d5.loss_cls: 0.8449, decode.d5.loss_mask: 0.7921, decode.d5.loss_dice: 1.1069, decode.d6.loss_cls: 0.8334, decode.d6.loss_mask: 0.7890, decode.d6.loss_dice: 1.1026, decode.d7.loss_cls: 0.8114, decode.d7.loss_mask: 0.7918, decode.d7.loss_dice: 1.1032, decode.d8.loss_cls: 0.7991, decode.d8.loss_mask: 0.7893, decode.d8.loss_dice: 1.1025, loss: 30.3237 2022-06-21 18:08:47,718 - mmseg - INFO - Iter [28850/40000] lr: 4.293e-06, eta: 1:40:53, time: 0.566, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8153, decode.loss_mask: 0.7714, decode.loss_dice: 1.1048, decode.d0.loss_cls: 3.1147, decode.d0.loss_mask: 0.8281, decode.d0.loss_dice: 1.2790, decode.d1.loss_cls: 1.1523, decode.d1.loss_mask: 0.8041, decode.d1.loss_dice: 1.1706, decode.d2.loss_cls: 0.9759, decode.d2.loss_mask: 0.7833, decode.d2.loss_dice: 1.1271, decode.d3.loss_cls: 0.8877, decode.d3.loss_mask: 0.7801, decode.d3.loss_dice: 1.1136, decode.d4.loss_cls: 0.8691, decode.d4.loss_mask: 0.7744, decode.d4.loss_dice: 1.1135, decode.d5.loss_cls: 0.8539, decode.d5.loss_mask: 0.7745, decode.d5.loss_dice: 1.1094, decode.d6.loss_cls: 0.8341, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.1003, decode.d7.loss_cls: 0.8226, decode.d7.loss_mask: 0.7725, decode.d7.loss_dice: 1.1064, decode.d8.loss_cls: 0.8137, decode.d8.loss_mask: 0.7705, decode.d8.loss_dice: 1.1090, loss: 30.3066 2022-06-21 18:09:16,494 - mmseg - INFO - Iter [28900/40000] lr: 4.274e-06, eta: 1:40:27, time: 0.575, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8448, decode.loss_mask: 0.7753, decode.loss_dice: 1.0982, decode.d0.loss_cls: 3.0269, decode.d0.loss_mask: 0.8299, decode.d0.loss_dice: 1.2791, decode.d1.loss_cls: 1.1709, decode.d1.loss_mask: 0.8053, decode.d1.loss_dice: 1.1723, decode.d2.loss_cls: 1.0037, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.1204, decode.d3.loss_cls: 0.9246, decode.d3.loss_mask: 0.7777, decode.d3.loss_dice: 1.1045, decode.d4.loss_cls: 0.8955, decode.d4.loss_mask: 0.7775, decode.d4.loss_dice: 1.1004, decode.d5.loss_cls: 0.8831, decode.d5.loss_mask: 0.7791, decode.d5.loss_dice: 1.1002, decode.d6.loss_cls: 0.8630, decode.d6.loss_mask: 0.7764, decode.d6.loss_dice: 1.0974, decode.d7.loss_cls: 0.8505, decode.d7.loss_mask: 0.7739, decode.d7.loss_dice: 1.1017, decode.d8.loss_cls: 0.8503, decode.d8.loss_mask: 0.7743, decode.d8.loss_dice: 1.1022, loss: 30.4396 2022-06-21 18:09:46,756 - mmseg - INFO - Iter [28950/40000] lr: 4.255e-06, eta: 1:40:01, time: 0.606, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7868, decode.loss_mask: 0.7757, decode.loss_dice: 1.0665, decode.d0.loss_cls: 2.9512, decode.d0.loss_mask: 0.8224, decode.d0.loss_dice: 1.2129, decode.d1.loss_cls: 1.1121, decode.d1.loss_mask: 0.7985, decode.d1.loss_dice: 1.1259, decode.d2.loss_cls: 0.9227, decode.d2.loss_mask: 0.7872, decode.d2.loss_dice: 1.0908, decode.d3.loss_cls: 0.8628, decode.d3.loss_mask: 0.7795, decode.d3.loss_dice: 1.0724, decode.d4.loss_cls: 0.8351, decode.d4.loss_mask: 0.7813, decode.d4.loss_dice: 1.0715, decode.d5.loss_cls: 0.8156, decode.d5.loss_mask: 0.7821, decode.d5.loss_dice: 1.0690, decode.d6.loss_cls: 0.7992, decode.d6.loss_mask: 0.7789, decode.d6.loss_dice: 1.0615, decode.d7.loss_cls: 0.7937, decode.d7.loss_mask: 0.7793, decode.d7.loss_dice: 1.0623, decode.d8.loss_cls: 0.7914, decode.d8.loss_mask: 0.7784, decode.d8.loss_dice: 1.0573, loss: 29.4241 2022-06-21 18:10:15,787 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-06-21 18:10:21,528 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:10:21,528 - mmseg - INFO - Iter [29000/40000] lr: 4.235e-06, eta: 1:39:36, time: 0.695, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8122, decode.loss_mask: 0.7790, decode.loss_dice: 1.0925, decode.d0.loss_cls: 3.0556, decode.d0.loss_mask: 0.8186, decode.d0.loss_dice: 1.2653, decode.d1.loss_cls: 1.1293, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.1627, decode.d2.loss_cls: 0.9528, decode.d2.loss_mask: 0.7835, decode.d2.loss_dice: 1.1189, decode.d3.loss_cls: 0.8864, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.1087, decode.d4.loss_cls: 0.8603, decode.d4.loss_mask: 0.7808, decode.d4.loss_dice: 1.1112, decode.d5.loss_cls: 0.8406, decode.d5.loss_mask: 0.7805, decode.d5.loss_dice: 1.1098, decode.d6.loss_cls: 0.8317, decode.d6.loss_mask: 0.7802, decode.d6.loss_dice: 1.0931, decode.d7.loss_cls: 0.8237, decode.d7.loss_mask: 0.7768, decode.d7.loss_dice: 1.0979, decode.d8.loss_cls: 0.8047, decode.d8.loss_mask: 0.7758, decode.d8.loss_dice: 1.0930, loss: 30.1078 2022-06-21 18:10:51,853 - mmseg - INFO - Iter [29050/40000] lr: 4.216e-06, eta: 1:39:10, time: 0.607, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8527, decode.loss_mask: 0.8065, decode.loss_dice: 1.1006, decode.d0.loss_cls: 3.0782, decode.d0.loss_mask: 0.8513, decode.d0.loss_dice: 1.2831, decode.d1.loss_cls: 1.1837, decode.d1.loss_mask: 0.8312, decode.d1.loss_dice: 1.1742, decode.d2.loss_cls: 0.9890, decode.d2.loss_mask: 0.8088, decode.d2.loss_dice: 1.1339, decode.d3.loss_cls: 0.9245, decode.d3.loss_mask: 0.8065, decode.d3.loss_dice: 1.1190, decode.d4.loss_cls: 0.8982, decode.d4.loss_mask: 0.8084, decode.d4.loss_dice: 1.1145, decode.d5.loss_cls: 0.8751, decode.d5.loss_mask: 0.8081, decode.d5.loss_dice: 1.1088, decode.d6.loss_cls: 0.8628, decode.d6.loss_mask: 0.8044, decode.d6.loss_dice: 1.1032, decode.d7.loss_cls: 0.8568, decode.d7.loss_mask: 0.8026, decode.d7.loss_dice: 1.1054, decode.d8.loss_cls: 0.8391, decode.d8.loss_mask: 0.8061, decode.d8.loss_dice: 1.1051, loss: 30.8416 2022-06-21 18:11:19,569 - mmseg - INFO - Iter [29100/40000] lr: 4.197e-06, eta: 1:38:43, time: 0.554, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8031, decode.loss_mask: 0.7776, decode.loss_dice: 1.0981, decode.d0.loss_cls: 3.0459, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.2584, decode.d1.loss_cls: 1.1224, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.1668, decode.d2.loss_cls: 0.9421, decode.d2.loss_mask: 0.7893, decode.d2.loss_dice: 1.1179, decode.d3.loss_cls: 0.8801, decode.d3.loss_mask: 0.7839, decode.d3.loss_dice: 1.1035, decode.d4.loss_cls: 0.8583, decode.d4.loss_mask: 0.7830, decode.d4.loss_dice: 1.0978, decode.d5.loss_cls: 0.8379, decode.d5.loss_mask: 0.7824, decode.d5.loss_dice: 1.0980, decode.d6.loss_cls: 0.8210, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.0988, decode.d7.loss_cls: 0.8210, decode.d7.loss_mask: 0.7805, decode.d7.loss_dice: 1.0937, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7805, decode.d8.loss_dice: 1.0928, loss: 30.0434 2022-06-21 18:11:48,129 - mmseg - INFO - Iter [29150/40000] lr: 4.178e-06, eta: 1:38:17, time: 0.571, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8065, decode.loss_mask: 0.7642, decode.loss_dice: 1.0876, decode.d0.loss_cls: 3.0198, decode.d0.loss_mask: 0.8048, decode.d0.loss_dice: 1.2632, decode.d1.loss_cls: 1.1356, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.1552, decode.d2.loss_cls: 0.9574, decode.d2.loss_mask: 0.7720, decode.d2.loss_dice: 1.0995, decode.d3.loss_cls: 0.8827, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.0935, decode.d4.loss_cls: 0.8539, decode.d4.loss_mask: 0.7672, decode.d4.loss_dice: 1.1026, decode.d5.loss_cls: 0.8415, decode.d5.loss_mask: 0.7662, decode.d5.loss_dice: 1.0956, decode.d6.loss_cls: 0.8285, decode.d6.loss_mask: 0.7634, decode.d6.loss_dice: 1.0867, decode.d7.loss_cls: 0.8266, decode.d7.loss_mask: 0.7638, decode.d7.loss_dice: 1.0933, decode.d8.loss_cls: 0.8114, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.0917, loss: 29.8498 2022-06-21 18:12:16,824 - mmseg - INFO - Iter [29200/40000] lr: 4.158e-06, eta: 1:37:50, time: 0.574, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8119, decode.loss_mask: 0.7781, decode.loss_dice: 1.0939, decode.d0.loss_cls: 2.9826, decode.d0.loss_mask: 0.8190, decode.d0.loss_dice: 1.2562, decode.d1.loss_cls: 1.1291, decode.d1.loss_mask: 0.8008, decode.d1.loss_dice: 1.1531, decode.d2.loss_cls: 0.9407, decode.d2.loss_mask: 0.7820, decode.d2.loss_dice: 1.1085, decode.d3.loss_cls: 0.8779, decode.d3.loss_mask: 0.7833, decode.d3.loss_dice: 1.0984, decode.d4.loss_cls: 0.8535, decode.d4.loss_mask: 0.7802, decode.d4.loss_dice: 1.1027, decode.d5.loss_cls: 0.8468, decode.d5.loss_mask: 0.7754, decode.d5.loss_dice: 1.0960, decode.d6.loss_cls: 0.8225, decode.d6.loss_mask: 0.7739, decode.d6.loss_dice: 1.0954, decode.d7.loss_cls: 0.8184, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.0949, decode.d8.loss_cls: 0.8169, decode.d8.loss_mask: 0.7792, decode.d8.loss_dice: 1.0931, loss: 29.9409 2022-06-21 18:12:46,832 - mmseg - INFO - Iter [29250/40000] lr: 4.139e-06, eta: 1:37:24, time: 0.600, data_time: 0.059, memory: 40943, decode.loss_cls: 0.8716, decode.loss_mask: 0.7659, decode.loss_dice: 1.1302, decode.d0.loss_cls: 3.0897, decode.d0.loss_mask: 0.8136, decode.d0.loss_dice: 1.3060, decode.d1.loss_cls: 1.1873, decode.d1.loss_mask: 0.7981, decode.d1.loss_dice: 1.1963, decode.d2.loss_cls: 1.0053, decode.d2.loss_mask: 0.7800, decode.d2.loss_dice: 1.1489, decode.d3.loss_cls: 0.9444, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1367, decode.d4.loss_cls: 0.9162, decode.d4.loss_mask: 0.7689, decode.d4.loss_dice: 1.1387, decode.d5.loss_cls: 0.9043, decode.d5.loss_mask: 0.7707, decode.d5.loss_dice: 1.1313, decode.d6.loss_cls: 0.8748, decode.d6.loss_mask: 0.7732, decode.d6.loss_dice: 1.1326, decode.d7.loss_cls: 0.8704, decode.d7.loss_mask: 0.7693, decode.d7.loss_dice: 1.1303, decode.d8.loss_cls: 0.8669, decode.d8.loss_mask: 0.7685, decode.d8.loss_dice: 1.1297, loss: 30.8947 2022-06-21 18:13:12,827 - mmseg - INFO - Iter [29300/40000] lr: 4.120e-06, eta: 1:36:56, time: 0.520, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8091, decode.loss_mask: 0.7525, decode.loss_dice: 1.1068, decode.d0.loss_cls: 3.1143, decode.d0.loss_mask: 0.7932, decode.d0.loss_dice: 1.2748, decode.d1.loss_cls: 1.1498, decode.d1.loss_mask: 0.7803, decode.d1.loss_dice: 1.1654, decode.d2.loss_cls: 0.9503, decode.d2.loss_mask: 0.7645, decode.d2.loss_dice: 1.1237, decode.d3.loss_cls: 0.8900, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.1036, decode.d4.loss_cls: 0.8508, decode.d4.loss_mask: 0.7573, decode.d4.loss_dice: 1.1122, decode.d5.loss_cls: 0.8362, decode.d5.loss_mask: 0.7539, decode.d5.loss_dice: 1.1105, decode.d6.loss_cls: 0.8177, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.1030, decode.d7.loss_cls: 0.8185, decode.d7.loss_mask: 0.7520, decode.d7.loss_dice: 1.1048, decode.d8.loss_cls: 0.8171, decode.d8.loss_mask: 0.7522, decode.d8.loss_dice: 1.1033, loss: 29.9768 2022-06-21 18:13:38,452 - mmseg - INFO - Iter [29350/40000] lr: 4.101e-06, eta: 1:36:29, time: 0.513, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8020, decode.loss_mask: 0.7612, decode.loss_dice: 1.0705, decode.d0.loss_cls: 3.0678, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.2552, decode.d1.loss_cls: 1.1556, decode.d1.loss_mask: 0.7975, decode.d1.loss_dice: 1.1544, decode.d2.loss_cls: 0.9716, decode.d2.loss_mask: 0.7775, decode.d2.loss_dice: 1.1032, decode.d3.loss_cls: 0.8874, decode.d3.loss_mask: 0.7671, decode.d3.loss_dice: 1.0796, decode.d4.loss_cls: 0.8627, decode.d4.loss_mask: 0.7647, decode.d4.loss_dice: 1.0758, decode.d5.loss_cls: 0.8394, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.0746, decode.d6.loss_cls: 0.8272, decode.d6.loss_mask: 0.7618, decode.d6.loss_dice: 1.0668, decode.d7.loss_cls: 0.8163, decode.d7.loss_mask: 0.7669, decode.d7.loss_dice: 1.0688, decode.d8.loss_cls: 0.8060, decode.d8.loss_mask: 0.7605, decode.d8.loss_dice: 1.0728, loss: 29.7971 2022-06-21 18:14:04,094 - mmseg - INFO - Iter [29400/40000] lr: 4.081e-06, eta: 1:36:01, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8262, decode.loss_mask: 0.7661, decode.loss_dice: 1.0771, decode.d0.loss_cls: 3.0367, decode.d0.loss_mask: 0.8182, decode.d0.loss_dice: 1.2577, decode.d1.loss_cls: 1.1417, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.1529, decode.d2.loss_cls: 0.9649, decode.d2.loss_mask: 0.7792, decode.d2.loss_dice: 1.1088, decode.d3.loss_cls: 0.9047, decode.d3.loss_mask: 0.7705, decode.d3.loss_dice: 1.0925, decode.d4.loss_cls: 0.8810, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.0948, decode.d5.loss_cls: 0.8535, decode.d5.loss_mask: 0.7666, decode.d5.loss_dice: 1.0866, decode.d6.loss_cls: 0.8493, decode.d6.loss_mask: 0.7660, decode.d6.loss_dice: 1.0813, decode.d7.loss_cls: 0.8397, decode.d7.loss_mask: 0.7683, decode.d7.loss_dice: 1.0857, decode.d8.loss_cls: 0.8397, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.0770, loss: 30.0252 2022-06-21 18:14:30,600 - mmseg - INFO - Iter [29450/40000] lr: 4.062e-06, eta: 1:35:34, time: 0.530, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8146, decode.loss_mask: 0.7794, decode.loss_dice: 1.0857, decode.d0.loss_cls: 3.0587, decode.d0.loss_mask: 0.8302, decode.d0.loss_dice: 1.2617, decode.d1.loss_cls: 1.1373, decode.d1.loss_mask: 0.8089, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.9667, decode.d2.loss_mask: 0.7862, decode.d2.loss_dice: 1.1049, decode.d3.loss_cls: 0.8999, decode.d3.loss_mask: 0.7815, decode.d3.loss_dice: 1.0912, decode.d4.loss_cls: 0.8660, decode.d4.loss_mask: 0.7829, decode.d4.loss_dice: 1.0893, decode.d5.loss_cls: 0.8534, decode.d5.loss_mask: 0.7788, decode.d5.loss_dice: 1.0921, decode.d6.loss_cls: 0.8317, decode.d6.loss_mask: 0.7771, decode.d6.loss_dice: 1.0873, decode.d7.loss_cls: 0.8183, decode.d7.loss_mask: 0.7816, decode.d7.loss_dice: 1.0872, decode.d8.loss_cls: 0.8173, decode.d8.loss_mask: 0.7794, decode.d8.loss_dice: 1.0840, loss: 30.0883 2022-06-21 18:14:57,464 - mmseg - INFO - Iter [29500/40000] lr: 4.043e-06, eta: 1:35:06, time: 0.537, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8330, decode.loss_mask: 0.7617, decode.loss_dice: 1.0719, decode.d0.loss_cls: 2.9993, decode.d0.loss_mask: 0.8090, decode.d0.loss_dice: 1.2635, decode.d1.loss_cls: 1.1454, decode.d1.loss_mask: 0.7919, decode.d1.loss_dice: 1.1486, decode.d2.loss_cls: 0.9806, decode.d2.loss_mask: 0.7716, decode.d2.loss_dice: 1.1079, decode.d3.loss_cls: 0.9091, decode.d3.loss_mask: 0.7699, decode.d3.loss_dice: 1.0890, decode.d4.loss_cls: 0.8846, decode.d4.loss_mask: 0.7665, decode.d4.loss_dice: 1.0900, decode.d5.loss_cls: 0.8663, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.0850, decode.d6.loss_cls: 0.8448, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.0776, decode.d7.loss_cls: 0.8374, decode.d7.loss_mask: 0.7623, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.8421, decode.d8.loss_mask: 0.7636, decode.d8.loss_dice: 1.0769, loss: 29.9567 2022-06-21 18:15:24,301 - mmseg - INFO - Iter [29550/40000] lr: 4.024e-06, eta: 1:34:39, time: 0.537, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8160, decode.loss_mask: 0.7781, decode.loss_dice: 1.0925, decode.d0.loss_cls: 3.0398, decode.d0.loss_mask: 0.8323, decode.d0.loss_dice: 1.2622, decode.d1.loss_cls: 1.1249, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.1619, decode.d2.loss_cls: 0.9580, decode.d2.loss_mask: 0.7879, decode.d2.loss_dice: 1.1094, decode.d3.loss_cls: 0.8862, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.1008, decode.d4.loss_cls: 0.8576, decode.d4.loss_mask: 0.7890, decode.d4.loss_dice: 1.1029, decode.d5.loss_cls: 0.8420, decode.d5.loss_mask: 0.7832, decode.d5.loss_dice: 1.1007, decode.d6.loss_cls: 0.8191, decode.d6.loss_mask: 0.7816, decode.d6.loss_dice: 1.0961, decode.d7.loss_cls: 0.8239, decode.d7.loss_mask: 0.7781, decode.d7.loss_dice: 1.0927, decode.d8.loss_cls: 0.8244, decode.d8.loss_mask: 0.7786, decode.d8.loss_dice: 1.0903, loss: 30.1016 2022-06-21 18:15:50,869 - mmseg - INFO - Iter [29600/40000] lr: 4.004e-06, eta: 1:34:12, time: 0.531, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7438, decode.loss_mask: 0.7448, decode.loss_dice: 1.0773, decode.d0.loss_cls: 2.9603, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.2346, decode.d1.loss_cls: 1.0430, decode.d1.loss_mask: 0.7799, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.8738, decode.d2.loss_mask: 0.7551, decode.d2.loss_dice: 1.1111, decode.d3.loss_cls: 0.8139, decode.d3.loss_mask: 0.7522, decode.d3.loss_dice: 1.0843, decode.d4.loss_cls: 0.7839, decode.d4.loss_mask: 0.7508, decode.d4.loss_dice: 1.0839, decode.d5.loss_cls: 0.7660, decode.d5.loss_mask: 0.7492, decode.d5.loss_dice: 1.0779, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.0720, decode.d7.loss_cls: 0.7447, decode.d7.loss_mask: 0.7470, decode.d7.loss_dice: 1.0740, decode.d8.loss_cls: 0.7424, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.0766, loss: 28.8347 2022-06-21 18:16:16,400 - mmseg - INFO - Iter [29650/40000] lr: 3.985e-06, eta: 1:33:44, time: 0.510, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7958, decode.loss_mask: 0.7822, decode.loss_dice: 1.0823, decode.d0.loss_cls: 3.0100, decode.d0.loss_mask: 0.8310, decode.d0.loss_dice: 1.2367, decode.d1.loss_cls: 1.1263, decode.d1.loss_mask: 0.8118, decode.d1.loss_dice: 1.1426, decode.d2.loss_cls: 0.9431, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.1036, decode.d3.loss_cls: 0.8704, decode.d3.loss_mask: 0.7944, decode.d3.loss_dice: 1.0917, decode.d4.loss_cls: 0.8380, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.0892, decode.d5.loss_cls: 0.8151, decode.d5.loss_mask: 0.7870, decode.d5.loss_dice: 1.0898, decode.d6.loss_cls: 0.8028, decode.d6.loss_mask: 0.7896, decode.d6.loss_dice: 1.0842, decode.d7.loss_cls: 0.7953, decode.d7.loss_mask: 0.7864, decode.d7.loss_dice: 1.0841, decode.d8.loss_cls: 0.7875, decode.d8.loss_mask: 0.7886, decode.d8.loss_dice: 1.0848, loss: 29.8294 2022-06-21 18:16:41,250 - mmseg - INFO - Iter [29700/40000] lr: 3.966e-06, eta: 1:33:16, time: 0.497, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8154, decode.loss_mask: 0.7736, decode.loss_dice: 1.0722, decode.d0.loss_cls: 3.0638, decode.d0.loss_mask: 0.8254, decode.d0.loss_dice: 1.2373, decode.d1.loss_cls: 1.1611, decode.d1.loss_mask: 0.8062, decode.d1.loss_dice: 1.1464, decode.d2.loss_cls: 0.9701, decode.d2.loss_mask: 0.7832, decode.d2.loss_dice: 1.0957, decode.d3.loss_cls: 0.9010, decode.d3.loss_mask: 0.7798, decode.d3.loss_dice: 1.0787, decode.d4.loss_cls: 0.8723, decode.d4.loss_mask: 0.7773, decode.d4.loss_dice: 1.0851, decode.d5.loss_cls: 0.8529, decode.d5.loss_mask: 0.7758, decode.d5.loss_dice: 1.0786, decode.d6.loss_cls: 0.8390, decode.d6.loss_mask: 0.7737, decode.d6.loss_dice: 1.0750, decode.d7.loss_cls: 0.8299, decode.d7.loss_mask: 0.7733, decode.d7.loss_dice: 1.0762, decode.d8.loss_cls: 0.8194, decode.d8.loss_mask: 0.7739, decode.d8.loss_dice: 1.0729, loss: 29.9851 2022-06-21 18:17:06,922 - mmseg - INFO - Iter [29750/40000] lr: 3.947e-06, eta: 1:32:48, time: 0.513, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8073, decode.loss_mask: 0.7562, decode.loss_dice: 1.0848, decode.d0.loss_cls: 3.0183, decode.d0.loss_mask: 0.8064, decode.d0.loss_dice: 1.2762, decode.d1.loss_cls: 1.1267, decode.d1.loss_mask: 0.7801, decode.d1.loss_dice: 1.1595, decode.d2.loss_cls: 0.9483, decode.d2.loss_mask: 0.7635, decode.d2.loss_dice: 1.1159, decode.d3.loss_cls: 0.8771, decode.d3.loss_mask: 0.7603, decode.d3.loss_dice: 1.0976, decode.d4.loss_cls: 0.8505, decode.d4.loss_mask: 0.7597, decode.d4.loss_dice: 1.1017, decode.d5.loss_cls: 0.8316, decode.d5.loss_mask: 0.7612, decode.d5.loss_dice: 1.0944, decode.d6.loss_cls: 0.8161, decode.d6.loss_mask: 0.7601, decode.d6.loss_dice: 1.0903, decode.d7.loss_cls: 0.8148, decode.d7.loss_mask: 0.7553, decode.d7.loss_dice: 1.0925, decode.d8.loss_cls: 0.8030, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.0915, loss: 29.7592 2022-06-21 18:17:34,902 - mmseg - INFO - Iter [29800/40000] lr: 3.927e-06, eta: 1:32:21, time: 0.560, data_time: 0.062, memory: 40943, decode.loss_cls: 0.7877, decode.loss_mask: 0.7698, decode.loss_dice: 1.0699, decode.d0.loss_cls: 2.9971, decode.d0.loss_mask: 0.8113, decode.d0.loss_dice: 1.2258, decode.d1.loss_cls: 1.1221, decode.d1.loss_mask: 0.7947, decode.d1.loss_dice: 1.1355, decode.d2.loss_cls: 0.9229, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.0943, decode.d3.loss_cls: 0.8529, decode.d3.loss_mask: 0.7794, decode.d3.loss_dice: 1.0824, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.7786, decode.d4.loss_dice: 1.0830, decode.d5.loss_cls: 0.8061, decode.d5.loss_mask: 0.7774, decode.d5.loss_dice: 1.0773, decode.d6.loss_cls: 0.8014, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.0709, decode.d7.loss_cls: 0.7957, decode.d7.loss_mask: 0.7694, decode.d7.loss_dice: 1.0669, decode.d8.loss_cls: 0.7882, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.0742, loss: 29.4926 2022-06-21 18:18:00,307 - mmseg - INFO - Iter [29850/40000] lr: 3.908e-06, eta: 1:31:54, time: 0.508, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7964, decode.loss_mask: 0.7701, decode.loss_dice: 1.0703, decode.d0.loss_cls: 3.0110, decode.d0.loss_mask: 0.8112, decode.d0.loss_dice: 1.2395, decode.d1.loss_cls: 1.1087, decode.d1.loss_mask: 0.7947, decode.d1.loss_dice: 1.1336, decode.d2.loss_cls: 0.9324, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.0927, decode.d3.loss_cls: 0.8637, decode.d3.loss_mask: 0.7763, decode.d3.loss_dice: 1.0820, decode.d4.loss_cls: 0.8383, decode.d4.loss_mask: 0.7748, decode.d4.loss_dice: 1.0794, decode.d5.loss_cls: 0.8300, decode.d5.loss_mask: 0.7759, decode.d5.loss_dice: 1.0784, decode.d6.loss_cls: 0.8129, decode.d6.loss_mask: 0.7740, decode.d6.loss_dice: 1.0717, decode.d7.loss_cls: 0.7987, decode.d7.loss_mask: 0.7721, decode.d7.loss_dice: 1.0722, decode.d8.loss_cls: 0.8005, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.0787, loss: 29.5938 2022-06-21 18:18:26,031 - mmseg - INFO - Iter [29900/40000] lr: 3.889e-06, eta: 1:31:26, time: 0.515, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7894, decode.loss_mask: 0.7432, decode.loss_dice: 1.0269, decode.d0.loss_cls: 2.9932, decode.d0.loss_mask: 0.7869, decode.d0.loss_dice: 1.2107, decode.d1.loss_cls: 1.1150, decode.d1.loss_mask: 0.7742, decode.d1.loss_dice: 1.1021, decode.d2.loss_cls: 0.9246, decode.d2.loss_mask: 0.7619, decode.d2.loss_dice: 1.0591, decode.d3.loss_cls: 0.8445, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.0477, decode.d4.loss_cls: 0.8182, decode.d4.loss_mask: 0.7567, decode.d4.loss_dice: 1.0496, decode.d5.loss_cls: 0.8100, decode.d5.loss_mask: 0.7525, decode.d5.loss_dice: 1.0446, decode.d6.loss_cls: 0.8073, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.0336, decode.d7.loss_cls: 0.7961, decode.d7.loss_mask: 0.7528, decode.d7.loss_dice: 1.0362, decode.d8.loss_cls: 0.7884, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.0378, loss: 28.9209 2022-06-21 18:18:51,181 - mmseg - INFO - Iter [29950/40000] lr: 3.870e-06, eta: 1:30:58, time: 0.503, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7873, decode.loss_mask: 0.7718, decode.loss_dice: 1.0796, decode.d0.loss_cls: 2.9792, decode.d0.loss_mask: 0.8110, decode.d0.loss_dice: 1.2404, decode.d1.loss_cls: 1.0850, decode.d1.loss_mask: 0.7961, decode.d1.loss_dice: 1.1580, decode.d2.loss_cls: 0.9252, decode.d2.loss_mask: 0.7802, decode.d2.loss_dice: 1.1089, decode.d3.loss_cls: 0.8573, decode.d3.loss_mask: 0.7730, decode.d3.loss_dice: 1.0901, decode.d4.loss_cls: 0.8332, decode.d4.loss_mask: 0.7743, decode.d4.loss_dice: 1.0914, decode.d5.loss_cls: 0.8220, decode.d5.loss_mask: 0.7699, decode.d5.loss_dice: 1.0801, decode.d6.loss_cls: 0.8037, decode.d6.loss_mask: 0.7747, decode.d6.loss_dice: 1.0794, decode.d7.loss_cls: 0.7956, decode.d7.loss_mask: 0.7695, decode.d7.loss_dice: 1.0801, decode.d8.loss_cls: 0.7884, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.0855, loss: 29.5582 2022-06-21 18:19:16,572 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-06-21 18:19:23,042 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:19:23,042 - mmseg - INFO - Iter [30000/40000] lr: 3.850e-06, eta: 1:30:32, time: 0.637, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8450, decode.loss_mask: 0.7594, decode.loss_dice: 1.1028, decode.d0.loss_cls: 3.0487, decode.d0.loss_mask: 0.8136, decode.d0.loss_dice: 1.2760, decode.d1.loss_cls: 1.1523, decode.d1.loss_mask: 0.7957, decode.d1.loss_dice: 1.1825, decode.d2.loss_cls: 0.9840, decode.d2.loss_mask: 0.7751, decode.d2.loss_dice: 1.1394, decode.d3.loss_cls: 0.9244, decode.d3.loss_mask: 0.7702, decode.d3.loss_dice: 1.1203, decode.d4.loss_cls: 0.8924, decode.d4.loss_mask: 0.7687, decode.d4.loss_dice: 1.1235, decode.d5.loss_cls: 0.8774, decode.d5.loss_mask: 0.7658, decode.d5.loss_dice: 1.1159, decode.d6.loss_cls: 0.8721, decode.d6.loss_mask: 0.7649, decode.d6.loss_dice: 1.1062, decode.d7.loss_cls: 0.8514, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.1076, decode.d8.loss_cls: 0.8553, decode.d8.loss_mask: 0.7597, decode.d8.loss_dice: 1.1093, loss: 30.4207 2022-06-21 18:19:49,154 - mmseg - INFO - Iter [30050/40000] lr: 3.831e-06, eta: 1:30:05, time: 0.522, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7907, decode.loss_mask: 0.7962, decode.loss_dice: 1.1001, decode.d0.loss_cls: 2.9915, decode.d0.loss_mask: 0.8417, decode.d0.loss_dice: 1.2653, decode.d1.loss_cls: 1.1106, decode.d1.loss_mask: 0.8228, decode.d1.loss_dice: 1.1711, decode.d2.loss_cls: 0.9234, decode.d2.loss_mask: 0.8063, decode.d2.loss_dice: 1.1251, decode.d3.loss_cls: 0.8706, decode.d3.loss_mask: 0.8000, decode.d3.loss_dice: 1.1035, decode.d4.loss_cls: 0.8314, decode.d4.loss_mask: 0.8013, decode.d4.loss_dice: 1.1073, decode.d5.loss_cls: 0.8162, decode.d5.loss_mask: 0.8012, decode.d5.loss_dice: 1.1081, decode.d6.loss_cls: 0.8052, decode.d6.loss_mask: 0.7995, decode.d6.loss_dice: 1.0977, decode.d7.loss_cls: 0.7854, decode.d7.loss_mask: 0.8024, decode.d7.loss_dice: 1.1044, decode.d8.loss_cls: 0.7953, decode.d8.loss_mask: 0.7958, decode.d8.loss_dice: 1.1010, loss: 30.0710 2022-06-21 18:20:14,520 - mmseg - INFO - Iter [30100/40000] lr: 3.812e-06, eta: 1:29:37, time: 0.507, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8101, decode.loss_mask: 0.7684, decode.loss_dice: 1.0526, decode.d0.loss_cls: 2.9920, decode.d0.loss_mask: 0.8353, decode.d0.loss_dice: 1.2349, decode.d1.loss_cls: 1.1086, decode.d1.loss_mask: 0.8034, decode.d1.loss_dice: 1.1235, decode.d2.loss_cls: 0.9361, decode.d2.loss_mask: 0.7871, decode.d2.loss_dice: 1.0782, decode.d3.loss_cls: 0.8777, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.0653, decode.d4.loss_cls: 0.8530, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.0668, decode.d5.loss_cls: 0.8412, decode.d5.loss_mask: 0.7735, decode.d5.loss_dice: 1.0539, decode.d6.loss_cls: 0.8175, decode.d6.loss_mask: 0.7716, decode.d6.loss_dice: 1.0510, decode.d7.loss_cls: 0.8110, decode.d7.loss_mask: 0.7706, decode.d7.loss_dice: 1.0488, decode.d8.loss_cls: 0.8034, decode.d8.loss_mask: 0.7701, decode.d8.loss_dice: 1.0488, loss: 29.5081 2022-06-21 18:20:40,288 - mmseg - INFO - Iter [30150/40000] lr: 3.793e-06, eta: 1:29:10, time: 0.515, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7955, decode.loss_mask: 0.7567, decode.loss_dice: 1.0663, decode.d0.loss_cls: 3.0588, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.2291, decode.d1.loss_cls: 1.1083, decode.d1.loss_mask: 0.7795, decode.d1.loss_dice: 1.1284, decode.d2.loss_cls: 0.9521, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.0898, decode.d3.loss_cls: 0.8769, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.0734, decode.d4.loss_cls: 0.8372, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.0780, decode.d5.loss_cls: 0.8244, decode.d5.loss_mask: 0.7569, decode.d5.loss_dice: 1.0736, decode.d6.loss_cls: 0.8085, decode.d6.loss_mask: 0.7589, decode.d6.loss_dice: 1.0713, decode.d7.loss_cls: 0.8063, decode.d7.loss_mask: 0.7543, decode.d7.loss_dice: 1.0633, decode.d8.loss_cls: 0.7997, decode.d8.loss_mask: 0.7550, decode.d8.loss_dice: 1.0680, loss: 29.4411 2022-06-21 18:21:07,777 - mmseg - INFO - Iter [30200/40000] lr: 3.773e-06, eta: 1:28:43, time: 0.549, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7780, decode.loss_mask: 0.7898, decode.loss_dice: 1.0861, decode.d0.loss_cls: 3.0016, decode.d0.loss_mask: 0.8354, decode.d0.loss_dice: 1.2516, decode.d1.loss_cls: 1.1067, decode.d1.loss_mask: 0.8170, decode.d1.loss_dice: 1.1514, decode.d2.loss_cls: 0.9331, decode.d2.loss_mask: 0.7991, decode.d2.loss_dice: 1.1059, decode.d3.loss_cls: 0.8626, decode.d3.loss_mask: 0.7901, decode.d3.loss_dice: 1.0913, decode.d4.loss_cls: 0.8334, decode.d4.loss_mask: 0.7924, decode.d4.loss_dice: 1.0943, decode.d5.loss_cls: 0.8116, decode.d5.loss_mask: 0.7916, decode.d5.loss_dice: 1.0872, decode.d6.loss_cls: 0.7989, decode.d6.loss_mask: 0.7901, decode.d6.loss_dice: 1.0841, decode.d7.loss_cls: 0.7939, decode.d7.loss_mask: 0.7889, decode.d7.loss_dice: 1.0870, decode.d8.loss_cls: 0.7832, decode.d8.loss_mask: 0.7915, decode.d8.loss_dice: 1.0827, loss: 29.8106 2022-06-21 18:21:36,425 - mmseg - INFO - Iter [30250/40000] lr: 3.754e-06, eta: 1:28:16, time: 0.573, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8151, decode.loss_mask: 0.7541, decode.loss_dice: 1.0872, decode.d0.loss_cls: 3.1080, decode.d0.loss_mask: 0.8098, decode.d0.loss_dice: 1.2734, decode.d1.loss_cls: 1.1421, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.1724, decode.d2.loss_cls: 0.9587, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.1135, decode.d3.loss_cls: 0.8895, decode.d3.loss_mask: 0.7641, decode.d3.loss_dice: 1.0988, decode.d4.loss_cls: 0.8707, decode.d4.loss_mask: 0.7585, decode.d4.loss_dice: 1.0955, decode.d5.loss_cls: 0.8520, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.0909, decode.d6.loss_cls: 0.8378, decode.d6.loss_mask: 0.7572, decode.d6.loss_dice: 1.0858, decode.d7.loss_cls: 0.8269, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.0877, decode.d8.loss_cls: 0.8249, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.0856, loss: 29.9835 2022-06-21 18:22:04,633 - mmseg - INFO - Iter [30300/40000] lr: 3.735e-06, eta: 1:27:49, time: 0.564, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8134, decode.loss_mask: 0.7672, decode.loss_dice: 1.1002, decode.d0.loss_cls: 3.0821, decode.d0.loss_mask: 0.8216, decode.d0.loss_dice: 1.2825, decode.d1.loss_cls: 1.1541, decode.d1.loss_mask: 0.7986, decode.d1.loss_dice: 1.1732, decode.d2.loss_cls: 0.9709, decode.d2.loss_mask: 0.7824, decode.d2.loss_dice: 1.1195, decode.d3.loss_cls: 0.8990, decode.d3.loss_mask: 0.7722, decode.d3.loss_dice: 1.1109, decode.d4.loss_cls: 0.8721, decode.d4.loss_mask: 0.7715, decode.d4.loss_dice: 1.1138, decode.d5.loss_cls: 0.8465, decode.d5.loss_mask: 0.7704, decode.d5.loss_dice: 1.1016, decode.d6.loss_cls: 0.8274, decode.d6.loss_mask: 0.7714, decode.d6.loss_dice: 1.0999, decode.d7.loss_cls: 0.8143, decode.d7.loss_mask: 0.7699, decode.d7.loss_dice: 1.1020, decode.d8.loss_cls: 0.8143, decode.d8.loss_mask: 0.7670, decode.d8.loss_dice: 1.0979, loss: 30.1877 2022-06-21 18:22:34,593 - mmseg - INFO - Iter [30350/40000] lr: 3.716e-06, eta: 1:27:23, time: 0.599, data_time: 0.059, memory: 40943, decode.loss_cls: 0.7583, decode.loss_mask: 0.7678, decode.loss_dice: 1.0574, decode.d0.loss_cls: 2.9836, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.2148, decode.d1.loss_cls: 1.0684, decode.d1.loss_mask: 0.8033, decode.d1.loss_dice: 1.1251, decode.d2.loss_cls: 0.8926, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.0823, decode.d3.loss_cls: 0.8202, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.0654, decode.d4.loss_cls: 0.8047, decode.d4.loss_mask: 0.7710, decode.d4.loss_dice: 1.0702, decode.d5.loss_cls: 0.7796, decode.d5.loss_mask: 0.7706, decode.d5.loss_dice: 1.0654, decode.d6.loss_cls: 0.7694, decode.d6.loss_mask: 0.7693, decode.d6.loss_dice: 1.0593, decode.d7.loss_cls: 0.7660, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.0581, decode.d8.loss_cls: 0.7598, decode.d8.loss_mask: 0.7680, decode.d8.loss_dice: 1.0616, loss: 29.0483 2022-06-21 18:23:02,446 - mmseg - INFO - Iter [30400/40000] lr: 3.696e-06, eta: 1:26:56, time: 0.557, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7874, decode.loss_mask: 0.7545, decode.loss_dice: 1.0726, decode.d0.loss_cls: 3.0508, decode.d0.loss_mask: 0.8095, decode.d0.loss_dice: 1.2551, decode.d1.loss_cls: 1.1028, decode.d1.loss_mask: 0.7917, decode.d1.loss_dice: 1.1491, decode.d2.loss_cls: 0.9411, decode.d2.loss_mask: 0.7648, decode.d2.loss_dice: 1.0977, decode.d3.loss_cls: 0.8647, decode.d3.loss_mask: 0.7579, decode.d3.loss_dice: 1.0746, decode.d4.loss_cls: 0.8503, decode.d4.loss_mask: 0.7592, decode.d4.loss_dice: 1.0788, decode.d5.loss_cls: 0.8300, decode.d5.loss_mask: 0.7574, decode.d5.loss_dice: 1.0764, decode.d6.loss_cls: 0.8121, decode.d6.loss_mask: 0.7580, decode.d6.loss_dice: 1.0686, decode.d7.loss_cls: 0.7998, decode.d7.loss_mask: 0.7571, decode.d7.loss_dice: 1.0724, decode.d8.loss_cls: 0.7966, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.0705, loss: 29.5152 2022-06-21 18:23:30,872 - mmseg - INFO - Iter [30450/40000] lr: 3.677e-06, eta: 1:26:29, time: 0.569, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7289, decode.loss_mask: 0.7244, decode.loss_dice: 1.0633, decode.d0.loss_cls: 2.9752, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.2277, decode.d1.loss_cls: 1.0597, decode.d1.loss_mask: 0.7515, decode.d1.loss_dice: 1.1318, decode.d2.loss_cls: 0.8814, decode.d2.loss_mask: 0.7339, decode.d2.loss_dice: 1.0903, decode.d3.loss_cls: 0.8066, decode.d3.loss_mask: 0.7293, decode.d3.loss_dice: 1.0738, decode.d4.loss_cls: 0.7785, decode.d4.loss_mask: 0.7288, decode.d4.loss_dice: 1.0743, decode.d5.loss_cls: 0.7685, decode.d5.loss_mask: 0.7272, decode.d5.loss_dice: 1.0745, decode.d6.loss_cls: 0.7371, decode.d6.loss_mask: 0.7277, decode.d6.loss_dice: 1.0631, decode.d7.loss_cls: 0.7319, decode.d7.loss_mask: 0.7260, decode.d7.loss_dice: 1.0682, decode.d8.loss_cls: 0.7285, decode.d8.loss_mask: 0.7224, decode.d8.loss_dice: 1.0672, loss: 28.4789 2022-06-21 18:23:59,282 - mmseg - INFO - Iter [30500/40000] lr: 3.658e-06, eta: 1:26:02, time: 0.567, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7495, decode.loss_mask: 0.7760, decode.loss_dice: 1.0798, decode.d0.loss_cls: 2.9973, decode.d0.loss_mask: 0.8261, decode.d0.loss_dice: 1.2384, decode.d1.loss_cls: 1.0848, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.1435, decode.d2.loss_cls: 0.9056, decode.d2.loss_mask: 0.7892, decode.d2.loss_dice: 1.0983, decode.d3.loss_cls: 0.8331, decode.d3.loss_mask: 0.7852, decode.d3.loss_dice: 1.0831, decode.d4.loss_cls: 0.7999, decode.d4.loss_mask: 0.7793, decode.d4.loss_dice: 1.0916, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7817, decode.d5.loss_dice: 1.0825, decode.d6.loss_cls: 0.7668, decode.d6.loss_mask: 0.7791, decode.d6.loss_dice: 1.0792, decode.d7.loss_cls: 0.7598, decode.d7.loss_mask: 0.7815, decode.d7.loss_dice: 1.0787, decode.d8.loss_cls: 0.7529, decode.d8.loss_mask: 0.7733, decode.d8.loss_dice: 1.0812, loss: 29.3675 2022-06-21 18:24:28,221 - mmseg - INFO - Iter [30550/40000] lr: 3.639e-06, eta: 1:25:36, time: 0.579, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7758, decode.loss_mask: 0.7720, decode.loss_dice: 1.0467, decode.d0.loss_cls: 2.9493, decode.d0.loss_mask: 0.8192, decode.d0.loss_dice: 1.2224, decode.d1.loss_cls: 1.0639, decode.d1.loss_mask: 0.7990, decode.d1.loss_dice: 1.1175, decode.d2.loss_cls: 0.9221, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.0720, decode.d3.loss_cls: 0.8549, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.0583, decode.d4.loss_cls: 0.8240, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.0592, decode.d5.loss_cls: 0.8046, decode.d5.loss_mask: 0.7736, decode.d5.loss_dice: 1.0537, decode.d6.loss_cls: 0.7888, decode.d6.loss_mask: 0.7740, decode.d6.loss_dice: 1.0477, decode.d7.loss_cls: 0.7772, decode.d7.loss_mask: 0.7775, decode.d7.loss_dice: 1.0487, decode.d8.loss_cls: 0.7701, decode.d8.loss_mask: 0.7754, decode.d8.loss_dice: 1.0448, loss: 29.1190 2022-06-21 18:24:56,066 - mmseg - INFO - Iter [30600/40000] lr: 3.619e-06, eta: 1:25:09, time: 0.557, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7829, decode.loss_mask: 0.7815, decode.loss_dice: 1.0807, decode.d0.loss_cls: 3.0245, decode.d0.loss_mask: 0.8326, decode.d0.loss_dice: 1.2446, decode.d1.loss_cls: 1.1379, decode.d1.loss_mask: 0.8129, decode.d1.loss_dice: 1.1453, decode.d2.loss_cls: 0.9384, decode.d2.loss_mask: 0.7988, decode.d2.loss_dice: 1.0986, decode.d3.loss_cls: 0.8653, decode.d3.loss_mask: 0.7890, decode.d3.loss_dice: 1.0848, decode.d4.loss_cls: 0.8346, decode.d4.loss_mask: 0.7887, decode.d4.loss_dice: 1.0892, decode.d5.loss_cls: 0.8213, decode.d5.loss_mask: 0.7825, decode.d5.loss_dice: 1.0826, decode.d6.loss_cls: 0.7965, decode.d6.loss_mask: 0.7828, decode.d6.loss_dice: 1.0744, decode.d7.loss_cls: 0.7937, decode.d7.loss_mask: 0.7810, decode.d7.loss_dice: 1.0771, decode.d8.loss_cls: 0.7959, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.0781, loss: 29.7784 2022-06-21 18:25:23,851 - mmseg - INFO - Iter [30650/40000] lr: 3.600e-06, eta: 1:24:42, time: 0.556, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8011, decode.loss_mask: 0.7442, decode.loss_dice: 1.0714, decode.d0.loss_cls: 3.0727, decode.d0.loss_mask: 0.8026, decode.d0.loss_dice: 1.2339, decode.d1.loss_cls: 1.1357, decode.d1.loss_mask: 0.7786, decode.d1.loss_dice: 1.1286, decode.d2.loss_cls: 0.9635, decode.d2.loss_mask: 0.7560, decode.d2.loss_dice: 1.0864, decode.d3.loss_cls: 0.8798, decode.d3.loss_mask: 0.7525, decode.d3.loss_dice: 1.0767, decode.d4.loss_cls: 0.8502, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.0790, decode.d5.loss_cls: 0.8387, decode.d5.loss_mask: 0.7478, decode.d5.loss_dice: 1.0751, decode.d6.loss_cls: 0.8160, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.0666, decode.d7.loss_cls: 0.7986, decode.d7.loss_mask: 0.7478, decode.d7.loss_dice: 1.0716, decode.d8.loss_cls: 0.8124, decode.d8.loss_mask: 0.7416, decode.d8.loss_dice: 1.0691, loss: 29.4926 2022-06-21 18:25:51,508 - mmseg - INFO - Iter [30700/40000] lr: 3.581e-06, eta: 1:24:15, time: 0.554, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8133, decode.loss_mask: 0.7647, decode.loss_dice: 1.0881, decode.d0.loss_cls: 2.9910, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.2598, decode.d1.loss_cls: 1.1307, decode.d1.loss_mask: 0.7894, decode.d1.loss_dice: 1.1655, decode.d2.loss_cls: 0.9822, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1148, decode.d3.loss_cls: 0.8956, decode.d3.loss_mask: 0.7693, decode.d3.loss_dice: 1.1018, decode.d4.loss_cls: 0.8727, decode.d4.loss_mask: 0.7677, decode.d4.loss_dice: 1.0996, decode.d5.loss_cls: 0.8595, decode.d5.loss_mask: 0.7632, decode.d5.loss_dice: 1.0939, decode.d6.loss_cls: 0.8371, decode.d6.loss_mask: 0.7633, decode.d6.loss_dice: 1.0863, decode.d7.loss_cls: 0.8277, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.0880, decode.d8.loss_cls: 0.8270, decode.d8.loss_mask: 0.7617, decode.d8.loss_dice: 1.0894, loss: 29.9471 2022-06-21 18:26:19,938 - mmseg - INFO - Iter [30750/40000] lr: 3.562e-06, eta: 1:23:48, time: 0.567, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7815, decode.loss_mask: 0.7655, decode.loss_dice: 1.0672, decode.d0.loss_cls: 3.0303, decode.d0.loss_mask: 0.8188, decode.d0.loss_dice: 1.2428, decode.d1.loss_cls: 1.1194, decode.d1.loss_mask: 0.7929, decode.d1.loss_dice: 1.1262, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.0840, decode.d3.loss_cls: 0.8564, decode.d3.loss_mask: 0.7711, decode.d3.loss_dice: 1.0729, decode.d4.loss_cls: 0.8326, decode.d4.loss_mask: 0.7666, decode.d4.loss_dice: 1.0725, decode.d5.loss_cls: 0.8122, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.0807, decode.d6.loss_cls: 0.7998, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.0659, decode.d7.loss_cls: 0.7819, decode.d7.loss_mask: 0.7677, decode.d7.loss_dice: 1.0675, decode.d8.loss_cls: 0.7855, decode.d8.loss_mask: 0.7672, decode.d8.loss_dice: 1.0694, loss: 29.4378 2022-06-21 18:26:46,642 - mmseg - INFO - Iter [30800/40000] lr: 3.542e-06, eta: 1:23:20, time: 0.536, data_time: 0.012, memory: 40943, decode.loss_cls: 0.8019, decode.loss_mask: 0.7925, decode.loss_dice: 1.1151, decode.d0.loss_cls: 3.0578, decode.d0.loss_mask: 0.8448, decode.d0.loss_dice: 1.2898, decode.d1.loss_cls: 1.1231, decode.d1.loss_mask: 0.8176, decode.d1.loss_dice: 1.1840, decode.d2.loss_cls: 0.9483, decode.d2.loss_mask: 0.7999, decode.d2.loss_dice: 1.1404, decode.d3.loss_cls: 0.8741, decode.d3.loss_mask: 0.7967, decode.d3.loss_dice: 1.1251, decode.d4.loss_cls: 0.8467, decode.d4.loss_mask: 0.7961, decode.d4.loss_dice: 1.1244, decode.d5.loss_cls: 0.8310, decode.d5.loss_mask: 0.7975, decode.d5.loss_dice: 1.1181, decode.d6.loss_cls: 0.8218, decode.d6.loss_mask: 0.7948, decode.d6.loss_dice: 1.1139, decode.d7.loss_cls: 0.8120, decode.d7.loss_mask: 0.7919, decode.d7.loss_dice: 1.1160, decode.d8.loss_cls: 0.8048, decode.d8.loss_mask: 0.7939, decode.d8.loss_dice: 1.1181, loss: 30.3921 2022-06-21 18:27:12,922 - mmseg - INFO - Iter [30850/40000] lr: 3.523e-06, eta: 1:22:53, time: 0.525, data_time: 0.010, memory: 40943, decode.loss_cls: 0.8369, decode.loss_mask: 0.7470, decode.loss_dice: 1.1039, decode.d0.loss_cls: 3.0519, decode.d0.loss_mask: 0.8020, decode.d0.loss_dice: 1.2856, decode.d1.loss_cls: 1.1469, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.1722, decode.d2.loss_cls: 0.9654, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.1283, decode.d3.loss_cls: 0.9138, decode.d3.loss_mask: 0.7570, decode.d3.loss_dice: 1.1158, decode.d4.loss_cls: 0.8770, decode.d4.loss_mask: 0.7580, decode.d4.loss_dice: 1.1174, decode.d5.loss_cls: 0.8669, decode.d5.loss_mask: 0.7566, decode.d5.loss_dice: 1.1118, decode.d6.loss_cls: 0.8507, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.1028, decode.d7.loss_cls: 0.8394, decode.d7.loss_mask: 0.7516, decode.d7.loss_dice: 1.1117, decode.d8.loss_cls: 0.8285, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.1077, loss: 30.1541 2022-06-21 18:27:39,466 - mmseg - INFO - Iter [30900/40000] lr: 3.504e-06, eta: 1:22:26, time: 0.532, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7992, decode.loss_mask: 0.7606, decode.loss_dice: 1.0654, decode.d0.loss_cls: 3.0212, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.2393, decode.d1.loss_cls: 1.1203, decode.d1.loss_mask: 0.7921, decode.d1.loss_dice: 1.1318, decode.d2.loss_cls: 0.9494, decode.d2.loss_mask: 0.7675, decode.d2.loss_dice: 1.0850, decode.d3.loss_cls: 0.8826, decode.d3.loss_mask: 0.7624, decode.d3.loss_dice: 1.0706, decode.d4.loss_cls: 0.8591, decode.d4.loss_mask: 0.7633, decode.d4.loss_dice: 1.0680, decode.d5.loss_cls: 0.8259, decode.d5.loss_mask: 0.7593, decode.d5.loss_dice: 1.0707, decode.d6.loss_cls: 0.8136, decode.d6.loss_mask: 0.7659, decode.d6.loss_dice: 1.0595, decode.d7.loss_cls: 0.8037, decode.d7.loss_mask: 0.7614, decode.d7.loss_dice: 1.0652, decode.d8.loss_cls: 0.7949, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.0676, loss: 29.4967 2022-06-21 18:28:09,005 - mmseg - INFO - Iter [30950/40000] lr: 3.485e-06, eta: 1:21:59, time: 0.591, data_time: 0.057, memory: 40943, decode.loss_cls: 0.7964, decode.loss_mask: 0.7494, decode.loss_dice: 1.0658, decode.d0.loss_cls: 3.0618, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.2495, decode.d1.loss_cls: 1.1333, decode.d1.loss_mask: 0.7763, decode.d1.loss_dice: 1.1364, decode.d2.loss_cls: 0.9538, decode.d2.loss_mask: 0.7612, decode.d2.loss_dice: 1.0902, decode.d3.loss_cls: 0.8858, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.0797, decode.d4.loss_cls: 0.8492, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.0805, decode.d5.loss_cls: 0.8349, decode.d5.loss_mask: 0.7487, decode.d5.loss_dice: 1.0768, decode.d6.loss_cls: 0.8120, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.0670, decode.d7.loss_cls: 0.8003, decode.d7.loss_mask: 0.7483, decode.d7.loss_dice: 1.0723, decode.d8.loss_cls: 0.7942, decode.d8.loss_mask: 0.7542, decode.d8.loss_dice: 1.0697, loss: 29.5051 2022-06-21 18:28:36,057 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-06-21 18:28:39,024 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:28:39,024 - mmseg - INFO - Iter [31000/40000] lr: 3.465e-06, eta: 1:21:33, time: 0.601, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7646, decode.loss_mask: 0.7943, decode.loss_dice: 1.0659, decode.d0.loss_cls: 2.9484, decode.d0.loss_mask: 0.8441, decode.d0.loss_dice: 1.2347, decode.d1.loss_cls: 1.0576, decode.d1.loss_mask: 0.8171, decode.d1.loss_dice: 1.1330, decode.d2.loss_cls: 0.8904, decode.d2.loss_mask: 0.8006, decode.d2.loss_dice: 1.0911, decode.d3.loss_cls: 0.8285, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.0761, decode.d4.loss_cls: 0.7949, decode.d4.loss_mask: 0.7977, decode.d4.loss_dice: 1.0780, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7962, decode.d5.loss_dice: 1.0726, decode.d6.loss_cls: 0.7724, decode.d6.loss_mask: 0.8002, decode.d6.loss_dice: 1.0700, decode.d7.loss_cls: 0.7572, decode.d7.loss_mask: 0.7927, decode.d7.loss_dice: 1.0702, decode.d8.loss_cls: 0.7650, decode.d8.loss_mask: 0.7905, decode.d8.loss_dice: 1.0671, loss: 29.3446 2022-06-21 18:29:06,901 - mmseg - INFO - Iter [31050/40000] lr: 3.446e-06, eta: 1:21:06, time: 0.558, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8179, decode.loss_mask: 0.7726, decode.loss_dice: 1.0685, decode.d0.loss_cls: 3.0054, decode.d0.loss_mask: 0.8214, decode.d0.loss_dice: 1.2454, decode.d1.loss_cls: 1.1374, decode.d1.loss_mask: 0.7918, decode.d1.loss_dice: 1.1349, decode.d2.loss_cls: 0.9653, decode.d2.loss_mask: 0.7866, decode.d2.loss_dice: 1.0959, decode.d3.loss_cls: 0.8855, decode.d3.loss_mask: 0.7825, decode.d3.loss_dice: 1.0830, decode.d4.loss_cls: 0.8699, decode.d4.loss_mask: 0.7813, decode.d4.loss_dice: 1.0828, decode.d5.loss_cls: 0.8476, decode.d5.loss_mask: 0.7776, decode.d5.loss_dice: 1.0736, decode.d6.loss_cls: 0.8310, decode.d6.loss_mask: 0.7798, decode.d6.loss_dice: 1.0676, decode.d7.loss_cls: 0.8266, decode.d7.loss_mask: 0.7742, decode.d7.loss_dice: 1.0732, decode.d8.loss_cls: 0.8194, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.0740, loss: 29.8458 2022-06-21 18:29:34,527 - mmseg - INFO - Iter [31100/40000] lr: 3.427e-06, eta: 1:20:39, time: 0.552, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8044, decode.loss_mask: 0.7700, decode.loss_dice: 1.0834, decode.d0.loss_cls: 3.0016, decode.d0.loss_mask: 0.8214, decode.d0.loss_dice: 1.2616, decode.d1.loss_cls: 1.1220, decode.d1.loss_mask: 0.7993, decode.d1.loss_dice: 1.1532, decode.d2.loss_cls: 0.9422, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.1052, decode.d3.loss_cls: 0.8789, decode.d3.loss_mask: 0.7767, decode.d3.loss_dice: 1.0896, decode.d4.loss_cls: 0.8554, decode.d4.loss_mask: 0.7741, decode.d4.loss_dice: 1.0927, decode.d5.loss_cls: 0.8280, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.0891, decode.d6.loss_cls: 0.8213, decode.d6.loss_mask: 0.7721, decode.d6.loss_dice: 1.0841, decode.d7.loss_cls: 0.8111, decode.d7.loss_mask: 0.7685, decode.d7.loss_dice: 1.0836, decode.d8.loss_cls: 0.8124, decode.d8.loss_mask: 0.7683, decode.d8.loss_dice: 1.0836, loss: 29.8096 2022-06-21 18:30:01,629 - mmseg - INFO - Iter [31150/40000] lr: 3.408e-06, eta: 1:20:12, time: 0.541, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7819, decode.loss_mask: 0.7714, decode.loss_dice: 1.0659, decode.d0.loss_cls: 3.0359, decode.d0.loss_mask: 0.8174, decode.d0.loss_dice: 1.2431, decode.d1.loss_cls: 1.0934, decode.d1.loss_mask: 0.7927, decode.d1.loss_dice: 1.1306, decode.d2.loss_cls: 0.9191, decode.d2.loss_mask: 0.7776, decode.d2.loss_dice: 1.0894, decode.d3.loss_cls: 0.8502, decode.d3.loss_mask: 0.7772, decode.d3.loss_dice: 1.0755, decode.d4.loss_cls: 0.8313, decode.d4.loss_mask: 0.7768, decode.d4.loss_dice: 1.0752, decode.d5.loss_cls: 0.8148, decode.d5.loss_mask: 0.7761, decode.d5.loss_dice: 1.0763, decode.d6.loss_cls: 0.8022, decode.d6.loss_mask: 0.7756, decode.d6.loss_dice: 1.0624, decode.d7.loss_cls: 0.7911, decode.d7.loss_mask: 0.7739, decode.d7.loss_dice: 1.0651, decode.d8.loss_cls: 0.7802, decode.d8.loss_mask: 0.7756, decode.d8.loss_dice: 1.0681, loss: 29.4660 2022-06-21 18:30:29,180 - mmseg - INFO - Iter [31200/40000] lr: 3.388e-06, eta: 1:19:44, time: 0.551, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7831, decode.loss_mask: 0.7750, decode.loss_dice: 1.0847, decode.d0.loss_cls: 3.0483, decode.d0.loss_mask: 0.8189, decode.d0.loss_dice: 1.2560, decode.d1.loss_cls: 1.1212, decode.d1.loss_mask: 0.8072, decode.d1.loss_dice: 1.1578, decode.d2.loss_cls: 0.9420, decode.d2.loss_mask: 0.7865, decode.d2.loss_dice: 1.1078, decode.d3.loss_cls: 0.8629, decode.d3.loss_mask: 0.7829, decode.d3.loss_dice: 1.0943, decode.d4.loss_cls: 0.8401, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.0986, decode.d5.loss_cls: 0.8229, decode.d5.loss_mask: 0.7746, decode.d5.loss_dice: 1.0957, decode.d6.loss_cls: 0.8057, decode.d6.loss_mask: 0.7741, decode.d6.loss_dice: 1.0832, decode.d7.loss_cls: 0.8021, decode.d7.loss_mask: 0.7765, decode.d7.loss_dice: 1.0880, decode.d8.loss_cls: 0.7870, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.0877, loss: 29.8189 2022-06-21 18:30:55,726 - mmseg - INFO - Iter [31250/40000] lr: 3.369e-06, eta: 1:19:17, time: 0.532, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7681, decode.loss_mask: 0.7387, decode.loss_dice: 1.0708, decode.d0.loss_cls: 3.0292, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.2474, decode.d1.loss_cls: 1.1051, decode.d1.loss_mask: 0.7684, decode.d1.loss_dice: 1.1363, decode.d2.loss_cls: 0.9200, decode.d2.loss_mask: 0.7507, decode.d2.loss_dice: 1.0927, decode.d3.loss_cls: 0.8479, decode.d3.loss_mask: 0.7424, decode.d3.loss_dice: 1.0747, decode.d4.loss_cls: 0.8163, decode.d4.loss_mask: 0.7426, decode.d4.loss_dice: 1.0787, decode.d5.loss_cls: 0.7962, decode.d5.loss_mask: 0.7420, decode.d5.loss_dice: 1.0739, decode.d6.loss_cls: 0.7756, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.0697, decode.d7.loss_cls: 0.7789, decode.d7.loss_mask: 0.7391, decode.d7.loss_dice: 1.0643, decode.d8.loss_cls: 0.7674, decode.d8.loss_mask: 0.7404, decode.d8.loss_dice: 1.0712, loss: 29.0773 2022-06-21 18:31:23,587 - mmseg - INFO - Iter [31300/40000] lr: 3.350e-06, eta: 1:18:50, time: 0.557, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7862, decode.loss_mask: 0.7642, decode.loss_dice: 1.0848, decode.d0.loss_cls: 3.0687, decode.d0.loss_mask: 0.8102, decode.d0.loss_dice: 1.2552, decode.d1.loss_cls: 1.1147, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.1542, decode.d2.loss_cls: 0.9343, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.1098, decode.d3.loss_cls: 0.8660, decode.d3.loss_mask: 0.7676, decode.d3.loss_dice: 1.0944, decode.d4.loss_cls: 0.8493, decode.d4.loss_mask: 0.7653, decode.d4.loss_dice: 1.0894, decode.d5.loss_cls: 0.8132, decode.d5.loss_mask: 0.7641, decode.d5.loss_dice: 1.0917, decode.d6.loss_cls: 0.8018, decode.d6.loss_mask: 0.7622, decode.d6.loss_dice: 1.0851, decode.d7.loss_cls: 0.7946, decode.d7.loss_mask: 0.7605, decode.d7.loss_dice: 1.0854, decode.d8.loss_cls: 0.7808, decode.d8.loss_mask: 0.7618, decode.d8.loss_dice: 1.0878, loss: 29.6641 2022-06-21 18:31:52,401 - mmseg - INFO - Iter [31350/40000] lr: 3.331e-06, eta: 1:18:23, time: 0.575, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7327, decode.loss_mask: 0.7488, decode.loss_dice: 1.0241, decode.d0.loss_cls: 2.9314, decode.d0.loss_mask: 0.7940, decode.d0.loss_dice: 1.2131, decode.d1.loss_cls: 1.0550, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.0999, decode.d2.loss_cls: 0.8858, decode.d2.loss_mask: 0.7641, decode.d2.loss_dice: 1.0541, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7567, decode.d3.loss_dice: 1.0397, decode.d4.loss_cls: 0.7768, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.0437, decode.d5.loss_cls: 0.7615, decode.d5.loss_mask: 0.7562, decode.d5.loss_dice: 1.0351, decode.d6.loss_cls: 0.7406, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.0333, decode.d7.loss_cls: 0.7391, decode.d7.loss_mask: 0.7506, decode.d7.loss_dice: 1.0280, decode.d8.loss_cls: 0.7333, decode.d8.loss_mask: 0.7506, decode.d8.loss_dice: 1.0278, loss: 28.3879 2022-06-21 18:32:20,293 - mmseg - INFO - Iter [31400/40000] lr: 3.311e-06, eta: 1:17:56, time: 0.559, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7482, decode.loss_mask: 0.7435, decode.loss_dice: 1.0677, decode.d0.loss_cls: 3.0172, decode.d0.loss_mask: 0.7989, decode.d0.loss_dice: 1.2500, decode.d1.loss_cls: 1.0830, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.1421, decode.d2.loss_cls: 0.9106, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.0901, decode.d3.loss_cls: 0.8234, decode.d3.loss_mask: 0.7530, decode.d3.loss_dice: 1.0801, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.7510, decode.d4.loss_dice: 1.0775, decode.d5.loss_cls: 0.7806, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.0738, decode.d6.loss_cls: 0.7621, decode.d6.loss_mask: 0.7482, decode.d6.loss_dice: 1.0739, decode.d7.loss_cls: 0.7477, decode.d7.loss_mask: 0.7461, decode.d7.loss_dice: 1.0684, decode.d8.loss_cls: 0.7554, decode.d8.loss_mask: 0.7450, decode.d8.loss_dice: 1.0696, loss: 28.9895 2022-06-21 18:32:47,759 - mmseg - INFO - Iter [31450/40000] lr: 3.292e-06, eta: 1:17:29, time: 0.549, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7869, decode.loss_mask: 0.7890, decode.loss_dice: 1.1063, decode.d0.loss_cls: 3.0026, decode.d0.loss_mask: 0.8329, decode.d0.loss_dice: 1.2729, decode.d1.loss_cls: 1.0988, decode.d1.loss_mask: 0.8186, decode.d1.loss_dice: 1.1726, decode.d2.loss_cls: 0.9257, decode.d2.loss_mask: 0.8049, decode.d2.loss_dice: 1.1313, decode.d3.loss_cls: 0.8501, decode.d3.loss_mask: 0.7975, decode.d3.loss_dice: 1.1170, decode.d4.loss_cls: 0.8248, decode.d4.loss_mask: 0.7966, decode.d4.loss_dice: 1.1142, decode.d5.loss_cls: 0.7981, decode.d5.loss_mask: 0.7926, decode.d5.loss_dice: 1.1104, decode.d6.loss_cls: 0.7990, decode.d6.loss_mask: 0.7934, decode.d6.loss_dice: 1.1101, decode.d7.loss_cls: 0.7903, decode.d7.loss_mask: 0.7914, decode.d7.loss_dice: 1.1105, decode.d8.loss_cls: 0.7894, decode.d8.loss_mask: 0.7900, decode.d8.loss_dice: 1.1151, loss: 30.0330 2022-06-21 18:33:17,061 - mmseg - INFO - Iter [31500/40000] lr: 3.273e-06, eta: 1:17:03, time: 0.586, data_time: 0.061, memory: 40943, decode.loss_cls: 0.8042, decode.loss_mask: 0.7468, decode.loss_dice: 1.0743, decode.d0.loss_cls: 3.0480, decode.d0.loss_mask: 0.8046, decode.d0.loss_dice: 1.2431, decode.d1.loss_cls: 1.1643, decode.d1.loss_mask: 0.7699, decode.d1.loss_dice: 1.1353, decode.d2.loss_cls: 0.9670, decode.d2.loss_mask: 0.7506, decode.d2.loss_dice: 1.0949, decode.d3.loss_cls: 0.8898, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.0736, decode.d4.loss_cls: 0.8590, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.0810, decode.d5.loss_cls: 0.8364, decode.d5.loss_mask: 0.7449, decode.d5.loss_dice: 1.0769, decode.d6.loss_cls: 0.8132, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.0783, decode.d7.loss_cls: 0.8084, decode.d7.loss_mask: 0.7448, decode.d7.loss_dice: 1.0771, decode.d8.loss_cls: 0.8097, decode.d8.loss_mask: 0.7481, decode.d8.loss_dice: 1.0694, loss: 29.5611 2022-06-21 18:33:45,652 - mmseg - INFO - Iter [31550/40000] lr: 3.254e-06, eta: 1:16:36, time: 0.571, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7783, decode.loss_mask: 0.7634, decode.loss_dice: 1.0650, decode.d0.loss_cls: 3.0649, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.2455, decode.d1.loss_cls: 1.1112, decode.d1.loss_mask: 0.8023, decode.d1.loss_dice: 1.1440, decode.d2.loss_cls: 0.9285, decode.d2.loss_mask: 0.7796, decode.d2.loss_dice: 1.0877, decode.d3.loss_cls: 0.8587, decode.d3.loss_mask: 0.7733, decode.d3.loss_dice: 1.0703, decode.d4.loss_cls: 0.8314, decode.d4.loss_mask: 0.7699, decode.d4.loss_dice: 1.0744, decode.d5.loss_cls: 0.8060, decode.d5.loss_mask: 0.7692, decode.d5.loss_dice: 1.0688, decode.d6.loss_cls: 0.7888, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.0645, decode.d7.loss_cls: 0.7796, decode.d7.loss_mask: 0.7657, decode.d7.loss_dice: 1.0672, decode.d8.loss_cls: 0.7736, decode.d8.loss_mask: 0.7636, decode.d8.loss_dice: 1.0663, loss: 29.4387 2022-06-21 18:34:13,638 - mmseg - INFO - Iter [31600/40000] lr: 3.234e-06, eta: 1:16:09, time: 0.560, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7440, decode.loss_mask: 0.7657, decode.loss_dice: 1.0493, decode.d0.loss_cls: 2.9367, decode.d0.loss_mask: 0.8113, decode.d0.loss_dice: 1.2018, decode.d1.loss_cls: 1.0756, decode.d1.loss_mask: 0.7904, decode.d1.loss_dice: 1.1079, decode.d2.loss_cls: 0.8959, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.0631, decode.d3.loss_cls: 0.8322, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.0560, decode.d4.loss_cls: 0.8006, decode.d4.loss_mask: 0.7740, decode.d4.loss_dice: 1.0544, decode.d5.loss_cls: 0.7766, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.0502, decode.d6.loss_cls: 0.7615, decode.d6.loss_mask: 0.7739, decode.d6.loss_dice: 1.0458, decode.d7.loss_cls: 0.7502, decode.d7.loss_mask: 0.7689, decode.d7.loss_dice: 1.0516, decode.d8.loss_cls: 0.7400, decode.d8.loss_mask: 0.7683, decode.d8.loss_dice: 1.0506, loss: 28.8227 2022-06-21 18:34:42,524 - mmseg - INFO - Iter [31650/40000] lr: 3.215e-06, eta: 1:15:42, time: 0.577, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8112, decode.loss_mask: 0.7659, decode.loss_dice: 1.0997, decode.d0.loss_cls: 3.0899, decode.d0.loss_mask: 0.8091, decode.d0.loss_dice: 1.2714, decode.d1.loss_cls: 1.1383, decode.d1.loss_mask: 0.7958, decode.d1.loss_dice: 1.1680, decode.d2.loss_cls: 0.9604, decode.d2.loss_mask: 0.7755, decode.d2.loss_dice: 1.1236, decode.d3.loss_cls: 0.8899, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.1080, decode.d4.loss_cls: 0.8606, decode.d4.loss_mask: 0.7695, decode.d4.loss_dice: 1.1063, decode.d5.loss_cls: 0.8389, decode.d5.loss_mask: 0.7680, decode.d5.loss_dice: 1.1018, decode.d6.loss_cls: 0.8211, decode.d6.loss_mask: 0.7673, decode.d6.loss_dice: 1.0979, decode.d7.loss_cls: 0.8150, decode.d7.loss_mask: 0.7665, decode.d7.loss_dice: 1.1044, decode.d8.loss_cls: 0.8151, decode.d8.loss_mask: 0.7653, decode.d8.loss_dice: 1.1020, loss: 30.0765 2022-06-21 18:35:12,942 - mmseg - INFO - Iter [31700/40000] lr: 3.196e-06, eta: 1:15:16, time: 0.609, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7643, decode.loss_mask: 0.7689, decode.loss_dice: 1.0614, decode.d0.loss_cls: 2.9694, decode.d0.loss_mask: 0.8274, decode.d0.loss_dice: 1.2428, decode.d1.loss_cls: 1.0857, decode.d1.loss_mask: 0.8042, decode.d1.loss_dice: 1.1387, decode.d2.loss_cls: 0.9148, decode.d2.loss_mask: 0.7838, decode.d2.loss_dice: 1.0886, decode.d3.loss_cls: 0.8370, decode.d3.loss_mask: 0.7769, decode.d3.loss_dice: 1.0699, decode.d4.loss_cls: 0.8116, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.0703, decode.d5.loss_cls: 0.7919, decode.d5.loss_mask: 0.7732, decode.d5.loss_dice: 1.0683, decode.d6.loss_cls: 0.7817, decode.d6.loss_mask: 0.7718, decode.d6.loss_dice: 1.0652, decode.d7.loss_cls: 0.7628, decode.d7.loss_mask: 0.7715, decode.d7.loss_dice: 1.0702, decode.d8.loss_cls: 0.7510, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.0648, loss: 29.2399 2022-06-21 18:35:41,419 - mmseg - INFO - Iter [31750/40000] lr: 3.177e-06, eta: 1:14:49, time: 0.569, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7921, decode.loss_mask: 0.7500, decode.loss_dice: 1.0645, decode.d0.loss_cls: 3.0911, decode.d0.loss_mask: 0.7942, decode.d0.loss_dice: 1.2398, decode.d1.loss_cls: 1.1066, decode.d1.loss_mask: 0.7797, decode.d1.loss_dice: 1.1325, decode.d2.loss_cls: 0.9399, decode.d2.loss_mask: 0.7571, decode.d2.loss_dice: 1.0843, decode.d3.loss_cls: 0.8758, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.0696, decode.d4.loss_cls: 0.8403, decode.d4.loss_mask: 0.7507, decode.d4.loss_dice: 1.0705, decode.d5.loss_cls: 0.8229, decode.d5.loss_mask: 0.7507, decode.d5.loss_dice: 1.0688, decode.d6.loss_cls: 0.8131, decode.d6.loss_mask: 0.7510, decode.d6.loss_dice: 1.0606, decode.d7.loss_cls: 0.7973, decode.d7.loss_mask: 0.7488, decode.d7.loss_dice: 1.0651, decode.d8.loss_cls: 0.7898, decode.d8.loss_mask: 0.7493, decode.d8.loss_dice: 1.0640, loss: 29.3748 2022-06-21 18:36:08,916 - mmseg - INFO - Iter [31800/40000] lr: 3.157e-06, eta: 1:14:22, time: 0.550, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7630, decode.loss_mask: 0.7674, decode.loss_dice: 1.0859, decode.d0.loss_cls: 3.0245, decode.d0.loss_mask: 0.8246, decode.d0.loss_dice: 1.2583, decode.d1.loss_cls: 1.1067, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.1535, decode.d2.loss_cls: 0.9274, decode.d2.loss_mask: 0.7780, decode.d2.loss_dice: 1.1109, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.7760, decode.d3.loss_dice: 1.0976, decode.d4.loss_cls: 0.8312, decode.d4.loss_mask: 0.7746, decode.d4.loss_dice: 1.1021, decode.d5.loss_cls: 0.8071, decode.d5.loss_mask: 0.7737, decode.d5.loss_dice: 1.0951, decode.d6.loss_cls: 0.7889, decode.d6.loss_mask: 0.7710, decode.d6.loss_dice: 1.0842, decode.d7.loss_cls: 0.7876, decode.d7.loss_mask: 0.7703, decode.d7.loss_dice: 1.0859, decode.d8.loss_cls: 0.7762, decode.d8.loss_mask: 0.7695, decode.d8.loss_dice: 1.0888, loss: 29.6263 2022-06-21 18:36:36,585 - mmseg - INFO - Iter [31850/40000] lr: 3.138e-06, eta: 1:13:55, time: 0.553, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7724, decode.loss_mask: 0.7606, decode.loss_dice: 1.0457, decode.d0.loss_cls: 3.0672, decode.d0.loss_mask: 0.8082, decode.d0.loss_dice: 1.2233, decode.d1.loss_cls: 1.1038, decode.d1.loss_mask: 0.7951, decode.d1.loss_dice: 1.1242, decode.d2.loss_cls: 0.9331, decode.d2.loss_mask: 0.7717, decode.d2.loss_dice: 1.0751, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.7628, decode.d3.loss_dice: 1.0501, decode.d4.loss_cls: 0.8335, decode.d4.loss_mask: 0.7642, decode.d4.loss_dice: 1.0501, decode.d5.loss_cls: 0.8072, decode.d5.loss_mask: 0.7598, decode.d5.loss_dice: 1.0491, decode.d6.loss_cls: 0.8003, decode.d6.loss_mask: 0.7625, decode.d6.loss_dice: 1.0442, decode.d7.loss_cls: 0.7835, decode.d7.loss_mask: 0.7604, decode.d7.loss_dice: 1.0477, decode.d8.loss_cls: 0.7796, decode.d8.loss_mask: 0.7580, decode.d8.loss_dice: 1.0433, loss: 29.1885 2022-06-21 18:37:04,446 - mmseg - INFO - Iter [31900/40000] lr: 3.119e-06, eta: 1:13:28, time: 0.557, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7896, decode.loss_mask: 0.7644, decode.loss_dice: 1.0997, decode.d0.loss_cls: 3.0430, decode.d0.loss_mask: 0.8217, decode.d0.loss_dice: 1.2670, decode.d1.loss_cls: 1.1110, decode.d1.loss_mask: 0.7963, decode.d1.loss_dice: 1.1713, decode.d2.loss_cls: 0.9507, decode.d2.loss_mask: 0.7745, decode.d2.loss_dice: 1.1189, decode.d3.loss_cls: 0.8784, decode.d3.loss_mask: 0.7693, decode.d3.loss_dice: 1.1001, decode.d4.loss_cls: 0.8425, decode.d4.loss_mask: 0.7721, decode.d4.loss_dice: 1.1126, decode.d5.loss_cls: 0.8267, decode.d5.loss_mask: 0.7675, decode.d5.loss_dice: 1.1018, decode.d6.loss_cls: 0.8032, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.0966, decode.d7.loss_cls: 0.7938, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.0926, decode.d8.loss_cls: 0.7937, decode.d8.loss_mask: 0.7626, decode.d8.loss_dice: 1.0940, loss: 29.8486 2022-06-21 18:37:32,817 - mmseg - INFO - Iter [31950/40000] lr: 3.100e-06, eta: 1:13:01, time: 0.567, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7344, decode.loss_mask: 0.7505, decode.loss_dice: 1.0235, decode.d0.loss_cls: 2.9693, decode.d0.loss_mask: 0.8101, decode.d0.loss_dice: 1.1927, decode.d1.loss_cls: 1.0563, decode.d1.loss_mask: 0.7838, decode.d1.loss_dice: 1.0936, decode.d2.loss_cls: 0.8945, decode.d2.loss_mask: 0.7642, decode.d2.loss_dice: 1.0398, decode.d3.loss_cls: 0.8142, decode.d3.loss_mask: 0.7624, decode.d3.loss_dice: 1.0350, decode.d4.loss_cls: 0.7989, decode.d4.loss_mask: 0.7587, decode.d4.loss_dice: 1.0254, decode.d5.loss_cls: 0.7814, decode.d5.loss_mask: 0.7561, decode.d5.loss_dice: 1.0291, decode.d6.loss_cls: 0.7608, decode.d6.loss_mask: 0.7516, decode.d6.loss_dice: 1.0200, decode.d7.loss_cls: 0.7481, decode.d7.loss_mask: 0.7512, decode.d7.loss_dice: 1.0165, decode.d8.loss_cls: 0.7424, decode.d8.loss_mask: 0.7496, decode.d8.loss_dice: 1.0190, loss: 28.4332 2022-06-21 18:38:00,855 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-06-21 18:38:07,461 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:38:07,462 - mmseg - INFO - Iter [32000/40000] lr: 3.080e-06, eta: 1:12:35, time: 0.693, data_time: 0.012, memory: 40943, decode.loss_cls: 0.7546, decode.loss_mask: 0.7766, decode.loss_dice: 1.0478, decode.d0.loss_cls: 2.9132, decode.d0.loss_mask: 0.8172, decode.d0.loss_dice: 1.2187, decode.d1.loss_cls: 1.0816, decode.d1.loss_mask: 0.8002, decode.d1.loss_dice: 1.1188, decode.d2.loss_cls: 0.8950, decode.d2.loss_mask: 0.7876, decode.d2.loss_dice: 1.0700, decode.d3.loss_cls: 0.8264, decode.d3.loss_mask: 0.7824, decode.d3.loss_dice: 1.0562, decode.d4.loss_cls: 0.7974, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.0609, decode.d5.loss_cls: 0.7838, decode.d5.loss_mask: 0.7780, decode.d5.loss_dice: 1.0587, decode.d6.loss_cls: 0.7694, decode.d6.loss_mask: 0.7754, decode.d6.loss_dice: 1.0533, decode.d7.loss_cls: 0.7633, decode.d7.loss_mask: 0.7785, decode.d7.loss_dice: 1.0468, decode.d8.loss_cls: 0.7516, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.0516, loss: 28.9710 2022-06-21 18:38:25,172 - mmseg - INFO - per class results: 2022-06-21 18:38:25,181 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.61 | 94.02 | | bicycle | 73.29 | 88.42 | | car | 60.4 | 69.38 | | motorcycle | 81.95 | 89.04 | | airplane | 83.64 | 95.55 | | bus | 80.45 | 90.99 | | train | 81.02 | 95.92 | | truck | 74.04 | 87.52 | | boat | 78.46 | 86.38 | | traffic light | 76.4 | 92.77 | | fire hydrant | 93.6 | 97.56 | | stop sign | 85.33 | 86.94 | | parking meter | 88.22 | 92.44 | | bench | 49.99 | 66.86 | | bird | 71.34 | 82.58 | | cat | 92.19 | 95.36 | | dog | 89.7 | 95.18 | | horse | 91.59 | 95.79 | | sheep | 87.97 | 91.75 | | cow | 95.76 | 98.03 | | elephant | 92.57 | 96.45 | | bear | 92.59 | 94.7 | | zebra | 92.02 | 95.68 | | giraffe | 87.73 | 93.6 | | backpack | 23.33 | 57.52 | | umbrella | 77.99 | 86.86 | | handbag | 19.67 | 33.15 | | tie | 0.2 | 0.2 | | suitcase | 81.46 | 90.1 | | frisbee | 46.72 | 48.37 | | skis | 35.99 | 54.35 | | snowboard | 60.04 | 72.41 | | sports ball | 76.85 | 94.27 | | kite | 81.51 | 87.23 | | baseball bat | 53.36 | 72.63 | | baseball glove | 2.04 | 2.13 | | skateboard | 68.85 | 83.4 | | surfboard | 89.29 | 94.9 | | tennis racket | 77.19 | 82.41 | | bottle | 59.63 | 69.89 | | wine glass | 84.26 | 94.67 | | cup | 56.69 | 75.43 | | fork | 36.61 | 49.63 | | knife | 71.97 | 84.32 | | spoon | 41.33 | 64.34 | | bowl | 46.44 | 67.6 | | banana | 69.59 | 74.45 | | apple | 71.92 | 84.16 | | sandwich | 87.38 | 97.33 | | orange | 34.96 | 45.89 | | broccoli | 92.74 | 97.73 | | carrot | 44.18 | 59.47 | | hot dog | 65.44 | 93.64 | | pizza | 93.92 | 95.65 | | donut | 72.42 | 86.58 | | cake | 74.04 | 85.68 | | chair | 58.18 | 75.34 | | couch | 71.22 | 89.78 | | potted plant | 32.24 | 39.58 | | bed | 69.98 | 82.57 | | dining table | 57.72 | 76.83 | | toilet | 85.82 | 94.13 | | tv | 79.79 | 92.08 | | laptop | 84.39 | 94.3 | | mouse | 77.0 | 81.34 | | remote | 72.35 | 93.15 | | keyboard | 88.79 | 96.55 | | cell phone | 83.64 | 94.82 | | microwave | 63.26 | 71.76 | | oven | 63.75 | 81.28 | | toaster | 0.0 | 0.0 | | sink | 63.48 | 73.43 | | refrigerator | 79.84 | 86.94 | | book | 75.15 | 89.72 | | clock | 76.57 | 82.5 | | vase | 58.87 | 88.21 | | scissors | 57.48 | 91.87 | | teddy bear | 86.69 | 92.37 | | hair drier | 0.0 | 0.0 | | toothbrush | 15.84 | 25.98 | | banner | 29.18 | 53.51 | | blanket | 0.09 | 0.09 | | branch | 41.6 | 42.91 | | bridge | 4.88 | 8.44 | | building-other | 51.18 | 68.67 | | bush | 38.78 | 53.11 | | cabinet | 26.68 | 57.21 | | cage | 73.47 | 84.98 | | cardboard | 22.88 | 29.16 | | carpet | 60.72 | 75.04 | | ceiling-other | 68.14 | 82.02 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 22.05 | 30.25 | | clouds | 51.02 | 72.24 | | counter | 27.07 | 31.92 | | cupboard | 57.59 | 64.95 | | curtain | 64.07 | 81.67 | | desk-stuff | 23.81 | 29.37 | | dirt | 38.73 | 65.98 | | door-stuff | 40.8 | 52.31 | | fence | 46.3 | 72.54 | | floor-marble | 0.0 | 0.0 | | floor-other | 39.32 | 54.52 | | floor-stone | 20.03 | 20.77 | | floor-tile | 62.5 | 75.63 | | floor-wood | 67.88 | 75.69 | | flower | 23.3 | 64.19 | | fog | 7.75 | 7.75 | | food-other | 34.33 | 62.52 | | fruit | 7.46 | 8.03 | | furniture-other | 18.42 | 30.87 | | grass | 75.18 | 84.49 | | gravel | 32.19 | 36.1 | | ground-other | 9.0 | 17.87 | | hill | 30.53 | 44.82 | | house | 33.99 | 65.89 | | leaves | 23.53 | 31.78 | | light | 39.46 | 51.43 | | mat | 10.19 | 14.65 | | metal | 18.0 | 29.53 | | mirror-stuff | 27.14 | 39.98 | | moss | 0.0 | 0.0 | | mountain | 27.67 | 42.59 | | mud | 0.0 | 0.0 | | napkin | 32.5 | 63.64 | | net | 33.34 | 36.99 | | paper | 41.92 | 73.25 | | pavement | 42.26 | 57.27 | | pillow | 0.0 | 0.0 | | plant-other | 34.91 | 56.15 | | plastic | 13.03 | 23.6 | | platform | 28.98 | 40.97 | | playingfield | 69.62 | 80.72 | | railing | 22.15 | 37.2 | | railroad | 60.82 | 79.21 | | river | 23.66 | 30.39 | | road | 70.47 | 83.89 | | rock | 54.62 | 77.09 | | roof | 9.11 | 17.55 | | rug | 48.78 | 53.19 | | salad | 0.68 | 0.68 | | sand | 70.47 | 86.17 | | sea | 74.2 | 90.43 | | shelf | 19.18 | 36.2 | | sky-other | 56.74 | 69.16 | | skyscraper | 13.1 | 15.89 | | snow | 92.5 | 94.43 | | solid-other | nan | nan | | stairs | 26.27 | 35.9 | | stone | 10.63 | 18.53 | | straw | 16.15 | 33.49 | | structural-other | 16.89 | 29.34 | | table | 12.35 | 21.17 | | tent | 24.99 | 39.12 | | textile-other | 21.8 | 34.42 | | towel | 31.18 | 42.59 | | tree | 78.61 | 88.06 | | vegetable | 32.79 | 52.63 | | wall-brick | 40.09 | 63.02 | | wall-concrete | 26.12 | 31.44 | | wall-other | 63.07 | 80.66 | | wall-panel | 0.0 | 0.0 | | wall-stone | 23.16 | 28.14 | | wall-tile | 52.04 | 79.82 | | wall-wood | 41.16 | 69.62 | | water-other | 33.35 | 46.73 | | waterdrops | nan | nan | | window-blind | 30.38 | 71.87 | | window-other | 45.82 | 58.46 | | wood | 13.36 | 28.32 | +------------------+-------+-------+ 2022-06-21 18:38:25,182 - mmseg - INFO - Summary: 2022-06-21 18:38:25,182 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 74.31 | 49.34 | 61.1 | +-------+-------+------+ 2022-06-21 18:38:25,202 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_24000.pth was removed 2022-06-21 18:38:30,721 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2022-06-21 18:38:30,721 - mmseg - INFO - Best mIoU is 0.4934 at 32000 iter. 2022-06-21 18:38:30,726 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:38:30,727 - mmseg - INFO - Iter(val) [125] aAcc: 0.7431, mIoU: 0.4934, mAcc: 0.6110, IoU.person: 0.8761, IoU.bicycle: 0.7329, IoU.car: 0.6040, IoU.motorcycle: 0.8195, IoU.airplane: 0.8364, IoU.bus: 0.8045, IoU.train: 0.8102, IoU.truck: 0.7404, IoU.boat: 0.7846, IoU.traffic light: 0.7640, IoU.fire hydrant: 0.9360, IoU.stop sign: 0.8533, IoU.parking meter: 0.8822, IoU.bench: 0.4999, IoU.bird: 0.7134, IoU.cat: 0.9219, IoU.dog: 0.8970, IoU.horse: 0.9159, IoU.sheep: 0.8797, IoU.cow: 0.9576, IoU.elephant: 0.9257, IoU.bear: 0.9259, IoU.zebra: 0.9202, IoU.giraffe: 0.8773, IoU.backpack: 0.2333, IoU.umbrella: 0.7799, IoU.handbag: 0.1967, IoU.tie: 0.0020, IoU.suitcase: 0.8146, IoU.frisbee: 0.4672, IoU.skis: 0.3599, IoU.snowboard: 0.6004, IoU.sports ball: 0.7685, IoU.kite: 0.8151, IoU.baseball bat: 0.5336, IoU.baseball glove: 0.0204, IoU.skateboard: 0.6885, IoU.surfboard: 0.8929, IoU.tennis racket: 0.7719, IoU.bottle: 0.5963, IoU.wine glass: 0.8426, IoU.cup: 0.5669, IoU.fork: 0.3661, IoU.knife: 0.7197, IoU.spoon: 0.4133, IoU.bowl: 0.4644, IoU.banana: 0.6959, IoU.apple: 0.7192, IoU.sandwich: 0.8738, IoU.orange: 0.3496, IoU.broccoli: 0.9274, IoU.carrot: 0.4418, IoU.hot dog: 0.6544, IoU.pizza: 0.9392, IoU.donut: 0.7242, IoU.cake: 0.7404, IoU.chair: 0.5818, IoU.couch: 0.7122, IoU.potted plant: 0.3224, IoU.bed: 0.6998, IoU.dining table: 0.5772, IoU.toilet: 0.8582, IoU.tv: 0.7979, IoU.laptop: 0.8439, IoU.mouse: 0.7700, IoU.remote: 0.7235, IoU.keyboard: 0.8879, IoU.cell phone: 0.8364, IoU.microwave: 0.6326, IoU.oven: 0.6375, IoU.toaster: 0.0000, IoU.sink: 0.6348, IoU.refrigerator: 0.7984, IoU.book: 0.7515, IoU.clock: 0.7657, IoU.vase: 0.5887, IoU.scissors: 0.5748, IoU.teddy bear: 0.8669, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1584, IoU.banner: 0.2918, IoU.blanket: 0.0009, IoU.branch: 0.4160, IoU.bridge: 0.0488, IoU.building-other: 0.5118, IoU.bush: 0.3878, IoU.cabinet: 0.2668, IoU.cage: 0.7347, IoU.cardboard: 0.2288, IoU.carpet: 0.6072, IoU.ceiling-other: 0.6814, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2205, IoU.clouds: 0.5102, IoU.counter: 0.2707, IoU.cupboard: 0.5759, IoU.curtain: 0.6407, IoU.desk-stuff: 0.2381, IoU.dirt: 0.3873, IoU.door-stuff: 0.4080, IoU.fence: 0.4630, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3932, IoU.floor-stone: 0.2003, IoU.floor-tile: 0.6250, IoU.floor-wood: 0.6788, IoU.flower: 0.2330, IoU.fog: 0.0775, IoU.food-other: 0.3433, IoU.fruit: 0.0746, IoU.furniture-other: 0.1842, IoU.grass: 0.7518, IoU.gravel: 0.3219, IoU.ground-other: 0.0900, IoU.hill: 0.3053, IoU.house: 0.3399, IoU.leaves: 0.2353, IoU.light: 0.3946, IoU.mat: 0.1019, IoU.metal: 0.1800, IoU.mirror-stuff: 0.2714, IoU.moss: 0.0000, IoU.mountain: 0.2767, IoU.mud: 0.0000, IoU.napkin: 0.3250, IoU.net: 0.3334, IoU.paper: 0.4192, IoU.pavement: 0.4226, IoU.pillow: 0.0000, IoU.plant-other: 0.3491, IoU.plastic: 0.1303, IoU.platform: 0.2898, IoU.playingfield: 0.6962, IoU.railing: 0.2215, IoU.railroad: 0.6082, IoU.river: 0.2366, IoU.road: 0.7047, IoU.rock: 0.5462, IoU.roof: 0.0911, IoU.rug: 0.4878, IoU.salad: 0.0068, IoU.sand: 0.7047, IoU.sea: 0.7420, IoU.shelf: 0.1918, IoU.sky-other: 0.5674, IoU.skyscraper: 0.1310, IoU.snow: 0.9250, IoU.solid-other: nan, IoU.stairs: 0.2627, IoU.stone: 0.1063, IoU.straw: 0.1615, IoU.structural-other: 0.1689, IoU.table: 0.1235, IoU.tent: 0.2499, IoU.textile-other: 0.2180, IoU.towel: 0.3118, IoU.tree: 0.7861, IoU.vegetable: 0.3279, IoU.wall-brick: 0.4009, IoU.wall-concrete: 0.2612, IoU.wall-other: 0.6307, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2316, IoU.wall-tile: 0.5204, IoU.wall-wood: 0.4116, IoU.water-other: 0.3335, IoU.waterdrops: nan, IoU.window-blind: 0.3038, IoU.window-other: 0.4582, IoU.wood: 0.1336, Acc.person: 0.9402, Acc.bicycle: 0.8842, Acc.car: 0.6938, Acc.motorcycle: 0.8904, Acc.airplane: 0.9555, Acc.bus: 0.9099, Acc.train: 0.9592, Acc.truck: 0.8752, Acc.boat: 0.8638, Acc.traffic light: 0.9277, Acc.fire hydrant: 0.9756, Acc.stop sign: 0.8694, Acc.parking meter: 0.9244, Acc.bench: 0.6686, Acc.bird: 0.8258, Acc.cat: 0.9536, Acc.dog: 0.9518, Acc.horse: 0.9579, Acc.sheep: 0.9175, Acc.cow: 0.9803, Acc.elephant: 0.9645, Acc.bear: 0.9470, Acc.zebra: 0.9568, Acc.giraffe: 0.9360, Acc.backpack: 0.5752, Acc.umbrella: 0.8686, Acc.handbag: 0.3315, Acc.tie: 0.0020, Acc.suitcase: 0.9010, Acc.frisbee: 0.4837, Acc.skis: 0.5435, Acc.snowboard: 0.7241, Acc.sports ball: 0.9427, Acc.kite: 0.8723, Acc.baseball bat: 0.7263, Acc.baseball glove: 0.0213, Acc.skateboard: 0.8340, Acc.surfboard: 0.9490, Acc.tennis racket: 0.8241, Acc.bottle: 0.6989, Acc.wine glass: 0.9467, Acc.cup: 0.7543, Acc.fork: 0.4963, Acc.knife: 0.8432, Acc.spoon: 0.6434, Acc.bowl: 0.6760, Acc.banana: 0.7445, Acc.apple: 0.8416, Acc.sandwich: 0.9733, Acc.orange: 0.4589, Acc.broccoli: 0.9773, Acc.carrot: 0.5947, Acc.hot dog: 0.9364, Acc.pizza: 0.9565, Acc.donut: 0.8658, Acc.cake: 0.8568, Acc.chair: 0.7534, Acc.couch: 0.8978, Acc.potted plant: 0.3958, Acc.bed: 0.8257, Acc.dining table: 0.7683, Acc.toilet: 0.9413, Acc.tv: 0.9208, Acc.laptop: 0.9430, Acc.mouse: 0.8134, Acc.remote: 0.9315, Acc.keyboard: 0.9655, Acc.cell phone: 0.9482, Acc.microwave: 0.7176, Acc.oven: 0.8128, Acc.toaster: 0.0000, Acc.sink: 0.7343, Acc.refrigerator: 0.8694, Acc.book: 0.8972, Acc.clock: 0.8250, Acc.vase: 0.8821, Acc.scissors: 0.9187, Acc.teddy bear: 0.9237, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2598, Acc.banner: 0.5351, Acc.blanket: 0.0009, Acc.branch: 0.4291, Acc.bridge: 0.0844, Acc.building-other: 0.6867, Acc.bush: 0.5311, Acc.cabinet: 0.5721, Acc.cage: 0.8498, Acc.cardboard: 0.2916, Acc.carpet: 0.7504, Acc.ceiling-other: 0.8202, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3025, Acc.clouds: 0.7224, Acc.counter: 0.3192, Acc.cupboard: 0.6495, Acc.curtain: 0.8167, Acc.desk-stuff: 0.2937, Acc.dirt: 0.6598, Acc.door-stuff: 0.5231, Acc.fence: 0.7254, Acc.floor-marble: 0.0000, Acc.floor-other: 0.5452, Acc.floor-stone: 0.2077, Acc.floor-tile: 0.7563, Acc.floor-wood: 0.7569, Acc.flower: 0.6419, Acc.fog: 0.0775, Acc.food-other: 0.6252, Acc.fruit: 0.0803, Acc.furniture-other: 0.3087, Acc.grass: 0.8449, Acc.gravel: 0.3610, Acc.ground-other: 0.1787, Acc.hill: 0.4482, Acc.house: 0.6589, Acc.leaves: 0.3178, Acc.light: 0.5143, Acc.mat: 0.1465, Acc.metal: 0.2953, Acc.mirror-stuff: 0.3998, Acc.moss: 0.0000, Acc.mountain: 0.4259, Acc.mud: 0.0000, Acc.napkin: 0.6364, Acc.net: 0.3699, Acc.paper: 0.7325, Acc.pavement: 0.5727, Acc.pillow: 0.0000, Acc.plant-other: 0.5615, Acc.plastic: 0.2360, Acc.platform: 0.4097, Acc.playingfield: 0.8072, Acc.railing: 0.3720, Acc.railroad: 0.7921, Acc.river: 0.3039, Acc.road: 0.8389, Acc.rock: 0.7709, Acc.roof: 0.1755, Acc.rug: 0.5319, Acc.salad: 0.0068, Acc.sand: 0.8617, Acc.sea: 0.9043, Acc.shelf: 0.3620, Acc.sky-other: 0.6916, Acc.skyscraper: 0.1589, Acc.snow: 0.9443, Acc.solid-other: nan, Acc.stairs: 0.3590, Acc.stone: 0.1853, Acc.straw: 0.3349, Acc.structural-other: 0.2934, Acc.table: 0.2117, Acc.tent: 0.3912, Acc.textile-other: 0.3442, Acc.towel: 0.4259, Acc.tree: 0.8806, Acc.vegetable: 0.5263, Acc.wall-brick: 0.6302, Acc.wall-concrete: 0.3144, Acc.wall-other: 0.8066, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2814, Acc.wall-tile: 0.7982, Acc.wall-wood: 0.6962, Acc.water-other: 0.4673, Acc.waterdrops: nan, Acc.window-blind: 0.7187, Acc.window-other: 0.5846, Acc.wood: 0.2832 2022-06-21 18:38:58,628 - mmseg - INFO - Iter [32050/40000] lr: 3.061e-06, eta: 1:12:14, time: 1.023, data_time: 0.522, memory: 40943, decode.loss_cls: 0.7644, decode.loss_mask: 0.7693, decode.loss_dice: 1.0682, decode.d0.loss_cls: 2.9066, decode.d0.loss_mask: 0.8102, decode.d0.loss_dice: 1.2231, decode.d1.loss_cls: 1.0770, decode.d1.loss_mask: 0.8027, decode.d1.loss_dice: 1.1406, decode.d2.loss_cls: 0.9045, decode.d2.loss_mask: 0.7828, decode.d2.loss_dice: 1.1000, decode.d3.loss_cls: 0.8375, decode.d3.loss_mask: 0.7743, decode.d3.loss_dice: 1.0805, decode.d4.loss_cls: 0.8152, decode.d4.loss_mask: 0.7759, decode.d4.loss_dice: 1.0845, decode.d5.loss_cls: 0.7937, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.0795, decode.d6.loss_cls: 0.7873, decode.d6.loss_mask: 0.7698, decode.d6.loss_dice: 1.0733, decode.d7.loss_cls: 0.7802, decode.d7.loss_mask: 0.7690, decode.d7.loss_dice: 1.0711, decode.d8.loss_cls: 0.7726, decode.d8.loss_mask: 0.7681, decode.d8.loss_dice: 1.0727, loss: 29.2273 2022-06-21 18:39:24,165 - mmseg - INFO - Iter [32100/40000] lr: 3.042e-06, eta: 1:11:46, time: 0.511, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7940, decode.loss_mask: 0.7707, decode.loss_dice: 1.0544, decode.d0.loss_cls: 2.9991, decode.d0.loss_mask: 0.8178, decode.d0.loss_dice: 1.2260, decode.d1.loss_cls: 1.0818, decode.d1.loss_mask: 0.8043, decode.d1.loss_dice: 1.1331, decode.d2.loss_cls: 0.9266, decode.d2.loss_mask: 0.7875, decode.d2.loss_dice: 1.0908, decode.d3.loss_cls: 0.8614, decode.d3.loss_mask: 0.7772, decode.d3.loss_dice: 1.0747, decode.d4.loss_cls: 0.8331, decode.d4.loss_mask: 0.7722, decode.d4.loss_dice: 1.0724, decode.d5.loss_cls: 0.8172, decode.d5.loss_mask: 0.7696, decode.d5.loss_dice: 1.0635, decode.d6.loss_cls: 0.7960, decode.d6.loss_mask: 0.7742, decode.d6.loss_dice: 1.0661, decode.d7.loss_cls: 0.7873, decode.d7.loss_mask: 0.7735, decode.d7.loss_dice: 1.0611, decode.d8.loss_cls: 0.7847, decode.d8.loss_mask: 0.7693, decode.d8.loss_dice: 1.0596, loss: 29.3992 2022-06-21 18:39:48,760 - mmseg - INFO - Iter [32150/40000] lr: 3.023e-06, eta: 1:11:18, time: 0.491, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7975, decode.loss_mask: 0.7580, decode.loss_dice: 1.1076, decode.d0.loss_cls: 3.0532, decode.d0.loss_mask: 0.8141, decode.d0.loss_dice: 1.2955, decode.d1.loss_cls: 1.1343, decode.d1.loss_mask: 0.7974, decode.d1.loss_dice: 1.1921, decode.d2.loss_cls: 0.9458, decode.d2.loss_mask: 0.7703, decode.d2.loss_dice: 1.1351, decode.d3.loss_cls: 0.8762, decode.d3.loss_mask: 0.7662, decode.d3.loss_dice: 1.1219, decode.d4.loss_cls: 0.8538, decode.d4.loss_mask: 0.7637, decode.d4.loss_dice: 1.1216, decode.d5.loss_cls: 0.8344, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.1145, decode.d6.loss_cls: 0.8188, decode.d6.loss_mask: 0.7611, decode.d6.loss_dice: 1.1168, decode.d7.loss_cls: 0.8014, decode.d7.loss_mask: 0.7570, decode.d7.loss_dice: 1.1122, decode.d8.loss_cls: 0.7948, decode.d8.loss_mask: 0.7595, decode.d8.loss_dice: 1.1065, loss: 30.0428 2022-06-21 18:40:14,324 - mmseg - INFO - Iter [32200/40000] lr: 3.003e-06, eta: 1:10:51, time: 0.512, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7584, decode.loss_mask: 0.7562, decode.loss_dice: 1.0393, decode.d0.loss_cls: 2.9775, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.2158, decode.d1.loss_cls: 1.0886, decode.d1.loss_mask: 0.7849, decode.d1.loss_dice: 1.1114, decode.d2.loss_cls: 0.8960, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.0628, decode.d3.loss_cls: 0.8217, decode.d3.loss_mask: 0.7665, decode.d3.loss_dice: 1.0548, decode.d4.loss_cls: 0.8059, decode.d4.loss_mask: 0.7627, decode.d4.loss_dice: 1.0493, decode.d5.loss_cls: 0.7837, decode.d5.loss_mask: 0.7628, decode.d5.loss_dice: 1.0434, decode.d6.loss_cls: 0.7746, decode.d6.loss_mask: 0.7583, decode.d6.loss_dice: 1.0420, decode.d7.loss_cls: 0.7562, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.0427, decode.d8.loss_cls: 0.7579, decode.d8.loss_mask: 0.7576, decode.d8.loss_dice: 1.0389, loss: 28.7969 2022-06-21 18:40:39,609 - mmseg - INFO - Iter [32250/40000] lr: 2.984e-06, eta: 1:10:23, time: 0.506, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7787, decode.loss_mask: 0.7476, decode.loss_dice: 1.0846, decode.d0.loss_cls: 3.0085, decode.d0.loss_mask: 0.7998, decode.d0.loss_dice: 1.2584, decode.d1.loss_cls: 1.0917, decode.d1.loss_mask: 0.7805, decode.d1.loss_dice: 1.1518, decode.d2.loss_cls: 0.9329, decode.d2.loss_mask: 0.7593, decode.d2.loss_dice: 1.1065, decode.d3.loss_cls: 0.8567, decode.d3.loss_mask: 0.7541, decode.d3.loss_dice: 1.0971, decode.d4.loss_cls: 0.8341, decode.d4.loss_mask: 0.7502, decode.d4.loss_dice: 1.0906, decode.d5.loss_cls: 0.8083, decode.d5.loss_mask: 0.7510, decode.d5.loss_dice: 1.0936, decode.d6.loss_cls: 0.7944, decode.d6.loss_mask: 0.7499, decode.d6.loss_dice: 1.0893, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7461, decode.d7.loss_dice: 1.0864, decode.d8.loss_cls: 0.7821, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.0858, loss: 29.3980 2022-06-21 18:41:04,549 - mmseg - INFO - Iter [32300/40000] lr: 2.965e-06, eta: 1:09:55, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7644, decode.loss_mask: 0.7881, decode.loss_dice: 1.0971, decode.d0.loss_cls: 2.9698, decode.d0.loss_mask: 0.8347, decode.d0.loss_dice: 1.2634, decode.d1.loss_cls: 1.0686, decode.d1.loss_mask: 0.8210, decode.d1.loss_dice: 1.1704, decode.d2.loss_cls: 0.9075, decode.d2.loss_mask: 0.8027, decode.d2.loss_dice: 1.1186, decode.d3.loss_cls: 0.8579, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.0969, decode.d4.loss_cls: 0.8168, decode.d4.loss_mask: 0.7925, decode.d4.loss_dice: 1.1054, decode.d5.loss_cls: 0.8030, decode.d5.loss_mask: 0.7909, decode.d5.loss_dice: 1.0966, decode.d6.loss_cls: 0.7892, decode.d6.loss_mask: 0.7886, decode.d6.loss_dice: 1.0983, decode.d7.loss_cls: 0.7812, decode.d7.loss_mask: 0.7854, decode.d7.loss_dice: 1.1005, decode.d8.loss_cls: 0.7617, decode.d8.loss_mask: 0.7890, decode.d8.loss_dice: 1.0974, loss: 29.7503 2022-06-21 18:41:29,969 - mmseg - INFO - Iter [32350/40000] lr: 2.946e-06, eta: 1:09:28, time: 0.509, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7655, decode.loss_mask: 0.7890, decode.loss_dice: 1.0831, decode.d0.loss_cls: 3.0151, decode.d0.loss_mask: 0.8467, decode.d0.loss_dice: 1.2526, decode.d1.loss_cls: 1.0967, decode.d1.loss_mask: 0.8222, decode.d1.loss_dice: 1.1502, decode.d2.loss_cls: 0.9192, decode.d2.loss_mask: 0.8009, decode.d2.loss_dice: 1.1011, decode.d3.loss_cls: 0.8444, decode.d3.loss_mask: 0.7943, decode.d3.loss_dice: 1.0884, decode.d4.loss_cls: 0.8169, decode.d4.loss_mask: 0.7942, decode.d4.loss_dice: 1.0940, decode.d5.loss_cls: 0.8013, decode.d5.loss_mask: 0.7899, decode.d5.loss_dice: 1.0892, decode.d6.loss_cls: 0.7896, decode.d6.loss_mask: 0.7878, decode.d6.loss_dice: 1.0782, decode.d7.loss_cls: 0.7776, decode.d7.loss_mask: 0.7903, decode.d7.loss_dice: 1.0820, decode.d8.loss_cls: 0.7734, decode.d8.loss_mask: 0.7881, decode.d8.loss_dice: 1.0834, loss: 29.7052 2022-06-21 18:41:54,874 - mmseg - INFO - Iter [32400/40000] lr: 2.926e-06, eta: 1:09:00, time: 0.498, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7479, decode.loss_mask: 0.7274, decode.loss_dice: 1.0566, decode.d0.loss_cls: 2.9280, decode.d0.loss_mask: 0.7751, decode.d0.loss_dice: 1.2044, decode.d1.loss_cls: 1.0746, decode.d1.loss_mask: 0.7574, decode.d1.loss_dice: 1.1143, decode.d2.loss_cls: 0.8874, decode.d2.loss_mask: 0.7420, decode.d2.loss_dice: 1.0764, decode.d3.loss_cls: 0.8236, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.0620, decode.d4.loss_cls: 0.7880, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.0689, decode.d5.loss_cls: 0.7737, decode.d5.loss_mask: 0.7334, decode.d5.loss_dice: 1.0681, decode.d6.loss_cls: 0.7631, decode.d6.loss_mask: 0.7314, decode.d6.loss_dice: 1.0601, decode.d7.loss_cls: 0.7474, decode.d7.loss_mask: 0.7310, decode.d7.loss_dice: 1.0609, decode.d8.loss_cls: 0.7443, decode.d8.loss_mask: 0.7315, decode.d8.loss_dice: 1.0633, loss: 28.5142 2022-06-21 18:42:20,002 - mmseg - INFO - Iter [32450/40000] lr: 2.907e-06, eta: 1:08:32, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 0.8146, decode.loss_mask: 0.7625, decode.loss_dice: 1.0720, decode.d0.loss_cls: 3.0846, decode.d0.loss_mask: 0.8195, decode.d0.loss_dice: 1.2659, decode.d1.loss_cls: 1.1484, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.1406, decode.d2.loss_cls: 0.9642, decode.d2.loss_mask: 0.7693, decode.d2.loss_dice: 1.0989, decode.d3.loss_cls: 0.8968, decode.d3.loss_mask: 0.7631, decode.d3.loss_dice: 1.0768, decode.d4.loss_cls: 0.8668, decode.d4.loss_mask: 0.7660, decode.d4.loss_dice: 1.0778, decode.d5.loss_cls: 0.8457, decode.d5.loss_mask: 0.7607, decode.d5.loss_dice: 1.0758, decode.d6.loss_cls: 0.8321, decode.d6.loss_mask: 0.7591, decode.d6.loss_dice: 1.0681, decode.d7.loss_cls: 0.8303, decode.d7.loss_mask: 0.7585, decode.d7.loss_dice: 1.0690, decode.d8.loss_cls: 0.8245, decode.d8.loss_mask: 0.7611, decode.d8.loss_dice: 1.0711, loss: 29.8316 2022-06-21 18:42:45,465 - mmseg - INFO - Iter [32500/40000] lr: 2.888e-06, eta: 1:08:04, time: 0.510, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7451, decode.loss_mask: 0.7538, decode.loss_dice: 1.0649, decode.d0.loss_cls: 2.9831, decode.d0.loss_mask: 0.7999, decode.d0.loss_dice: 1.2364, decode.d1.loss_cls: 1.0673, decode.d1.loss_mask: 0.7839, decode.d1.loss_dice: 1.1390, decode.d2.loss_cls: 0.9027, decode.d2.loss_mask: 0.7616, decode.d2.loss_dice: 1.0812, decode.d3.loss_cls: 0.8318, decode.d3.loss_mask: 0.7549, decode.d3.loss_dice: 1.0751, decode.d4.loss_cls: 0.8010, decode.d4.loss_mask: 0.7570, decode.d4.loss_dice: 1.0779, decode.d5.loss_cls: 0.7748, decode.d5.loss_mask: 0.7540, decode.d5.loss_dice: 1.0712, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.0678, decode.d7.loss_cls: 0.7517, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.0687, decode.d8.loss_cls: 0.7488, decode.d8.loss_mask: 0.7540, decode.d8.loss_dice: 1.0626, loss: 28.9332 2022-06-21 18:43:10,281 - mmseg - INFO - Iter [32550/40000] lr: 2.869e-06, eta: 1:07:37, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7752, decode.loss_mask: 0.7693, decode.loss_dice: 1.0883, decode.d0.loss_cls: 3.0247, decode.d0.loss_mask: 0.8092, decode.d0.loss_dice: 1.2496, decode.d1.loss_cls: 1.1305, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.1573, decode.d2.loss_cls: 0.9338, decode.d2.loss_mask: 0.7811, decode.d2.loss_dice: 1.1114, decode.d3.loss_cls: 0.8584, decode.d3.loss_mask: 0.7774, decode.d3.loss_dice: 1.0966, decode.d4.loss_cls: 0.8328, decode.d4.loss_mask: 0.7735, decode.d4.loss_dice: 1.0980, decode.d5.loss_cls: 0.8080, decode.d5.loss_mask: 0.7738, decode.d5.loss_dice: 1.0893, decode.d6.loss_cls: 0.7967, decode.d6.loss_mask: 0.7731, decode.d6.loss_dice: 1.0907, decode.d7.loss_cls: 0.7886, decode.d7.loss_mask: 0.7702, decode.d7.loss_dice: 1.0867, decode.d8.loss_cls: 0.7767, decode.d8.loss_mask: 0.7691, decode.d8.loss_dice: 1.0854, loss: 29.6666 2022-06-21 18:43:37,924 - mmseg - INFO - Iter [32600/40000] lr: 2.849e-06, eta: 1:07:09, time: 0.553, data_time: 0.061, memory: 40943, decode.loss_cls: 0.7587, decode.loss_mask: 0.7365, decode.loss_dice: 1.0792, decode.d0.loss_cls: 3.0254, decode.d0.loss_mask: 0.7796, decode.d0.loss_dice: 1.2406, decode.d1.loss_cls: 1.0762, decode.d1.loss_mask: 0.7649, decode.d1.loss_dice: 1.1437, decode.d2.loss_cls: 0.9110, decode.d2.loss_mask: 0.7430, decode.d2.loss_dice: 1.1010, decode.d3.loss_cls: 0.8324, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.0837, decode.d4.loss_cls: 0.8158, decode.d4.loss_mask: 0.7401, decode.d4.loss_dice: 1.0814, decode.d5.loss_cls: 0.7900, decode.d5.loss_mask: 0.7390, decode.d5.loss_dice: 1.0840, decode.d6.loss_cls: 0.7683, decode.d6.loss_mask: 0.7392, decode.d6.loss_dice: 1.0780, decode.d7.loss_cls: 0.7611, decode.d7.loss_mask: 0.7361, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.7576, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.0771, loss: 29.0039 2022-06-21 18:44:03,413 - mmseg - INFO - Iter [32650/40000] lr: 2.830e-06, eta: 1:06:42, time: 0.510, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7580, decode.loss_mask: 0.7421, decode.loss_dice: 1.0501, decode.d0.loss_cls: 3.0173, decode.d0.loss_mask: 0.7991, decode.d0.loss_dice: 1.2278, decode.d1.loss_cls: 1.0888, decode.d1.loss_mask: 0.7814, decode.d1.loss_dice: 1.1303, decode.d2.loss_cls: 0.9169, decode.d2.loss_mask: 0.7568, decode.d2.loss_dice: 1.0768, decode.d3.loss_cls: 0.8405, decode.d3.loss_mask: 0.7490, decode.d3.loss_dice: 1.0609, decode.d4.loss_cls: 0.8153, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.0596, decode.d5.loss_cls: 0.7890, decode.d5.loss_mask: 0.7466, decode.d5.loss_dice: 1.0615, decode.d6.loss_cls: 0.7658, decode.d6.loss_mask: 0.7460, decode.d6.loss_dice: 1.0526, decode.d7.loss_cls: 0.7617, decode.d7.loss_mask: 0.7443, decode.d7.loss_dice: 1.0573, decode.d8.loss_cls: 0.7630, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.0540, loss: 28.9014 2022-06-21 18:44:29,057 - mmseg - INFO - Iter [32700/40000] lr: 2.811e-06, eta: 1:06:14, time: 0.513, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7646, decode.loss_mask: 0.7664, decode.loss_dice: 1.1102, decode.d0.loss_cls: 3.0048, decode.d0.loss_mask: 0.8183, decode.d0.loss_dice: 1.2758, decode.d1.loss_cls: 1.1048, decode.d1.loss_mask: 0.7891, decode.d1.loss_dice: 1.1782, decode.d2.loss_cls: 0.9219, decode.d2.loss_mask: 0.7733, decode.d2.loss_dice: 1.1346, decode.d3.loss_cls: 0.8526, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.1241, decode.d4.loss_cls: 0.8209, decode.d4.loss_mask: 0.7679, decode.d4.loss_dice: 1.1254, decode.d5.loss_cls: 0.8012, decode.d5.loss_mask: 0.7659, decode.d5.loss_dice: 1.1187, decode.d6.loss_cls: 0.7803, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1129, decode.d7.loss_cls: 0.7747, decode.d7.loss_mask: 0.7659, decode.d7.loss_dice: 1.1162, decode.d8.loss_cls: 0.7690, decode.d8.loss_mask: 0.7654, decode.d8.loss_dice: 1.1140, loss: 29.7535 2022-06-21 18:44:54,460 - mmseg - INFO - Iter [32750/40000] lr: 2.792e-06, eta: 1:05:47, time: 0.509, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7731, decode.loss_mask: 0.7531, decode.loss_dice: 1.0591, decode.d0.loss_cls: 2.9926, decode.d0.loss_mask: 0.8005, decode.d0.loss_dice: 1.2374, decode.d1.loss_cls: 1.0867, decode.d1.loss_mask: 0.7804, decode.d1.loss_dice: 1.1328, decode.d2.loss_cls: 0.9191, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.0814, decode.d3.loss_cls: 0.8534, decode.d3.loss_mask: 0.7546, decode.d3.loss_dice: 1.0663, decode.d4.loss_cls: 0.8214, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.0666, decode.d5.loss_cls: 0.8116, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.0664, decode.d6.loss_cls: 0.7851, decode.d6.loss_mask: 0.7604, decode.d6.loss_dice: 1.0620, decode.d7.loss_cls: 0.7799, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.0586, decode.d8.loss_cls: 0.7789, decode.d8.loss_mask: 0.7517, decode.d8.loss_dice: 1.0576, loss: 29.1284 2022-06-21 18:45:20,284 - mmseg - INFO - Iter [32800/40000] lr: 2.772e-06, eta: 1:05:19, time: 0.516, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7524, decode.loss_mask: 0.7363, decode.loss_dice: 1.0650, decode.d0.loss_cls: 3.0081, decode.d0.loss_mask: 0.7857, decode.d0.loss_dice: 1.2407, decode.d1.loss_cls: 1.0962, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.1357, decode.d2.loss_cls: 0.8984, decode.d2.loss_mask: 0.7448, decode.d2.loss_dice: 1.0877, decode.d3.loss_cls: 0.8250, decode.d3.loss_mask: 0.7433, decode.d3.loss_dice: 1.0735, decode.d4.loss_cls: 0.8063, decode.d4.loss_mask: 0.7402, decode.d4.loss_dice: 1.0729, decode.d5.loss_cls: 0.7858, decode.d5.loss_mask: 0.7388, decode.d5.loss_dice: 1.0702, decode.d6.loss_cls: 0.7697, decode.d6.loss_mask: 0.7368, decode.d6.loss_dice: 1.0616, decode.d7.loss_cls: 0.7629, decode.d7.loss_mask: 0.7367, decode.d7.loss_dice: 1.0651, decode.d8.loss_cls: 0.7605, decode.d8.loss_mask: 0.7347, decode.d8.loss_dice: 1.0706, loss: 28.8698 2022-06-21 18:45:46,826 - mmseg - INFO - Iter [32850/40000] lr: 2.753e-06, eta: 1:04:52, time: 0.532, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7997, decode.loss_mask: 0.7731, decode.loss_dice: 1.0878, decode.d0.loss_cls: 3.0047, decode.d0.loss_mask: 0.8174, decode.d0.loss_dice: 1.2455, decode.d1.loss_cls: 1.1320, decode.d1.loss_mask: 0.8074, decode.d1.loss_dice: 1.1552, decode.d2.loss_cls: 0.9454, decode.d2.loss_mask: 0.7840, decode.d2.loss_dice: 1.1011, decode.d3.loss_cls: 0.8800, decode.d3.loss_mask: 0.7810, decode.d3.loss_dice: 1.0903, decode.d4.loss_cls: 0.8494, decode.d4.loss_mask: 0.7811, decode.d4.loss_dice: 1.0967, decode.d5.loss_cls: 0.8396, decode.d5.loss_mask: 0.7740, decode.d5.loss_dice: 1.0866, decode.d6.loss_cls: 0.8201, decode.d6.loss_mask: 0.7737, decode.d6.loss_dice: 1.0875, decode.d7.loss_cls: 0.8073, decode.d7.loss_mask: 0.7707, decode.d7.loss_dice: 1.0835, decode.d8.loss_cls: 0.8042, decode.d8.loss_mask: 0.7702, decode.d8.loss_dice: 1.0842, loss: 29.8333 2022-06-21 18:46:13,821 - mmseg - INFO - Iter [32900/40000] lr: 2.734e-06, eta: 1:04:24, time: 0.539, data_time: 0.011, memory: 40943, decode.loss_cls: 0.8039, decode.loss_mask: 0.7379, decode.loss_dice: 1.0584, decode.d0.loss_cls: 3.0668, decode.d0.loss_mask: 0.7903, decode.d0.loss_dice: 1.2411, decode.d1.loss_cls: 1.1399, decode.d1.loss_mask: 0.7724, decode.d1.loss_dice: 1.1375, decode.d2.loss_cls: 0.9437, decode.d2.loss_mask: 0.7556, decode.d2.loss_dice: 1.0996, decode.d3.loss_cls: 0.8830, decode.d3.loss_mask: 0.7466, decode.d3.loss_dice: 1.0784, decode.d4.loss_cls: 0.8511, decode.d4.loss_mask: 0.7466, decode.d4.loss_dice: 1.0737, decode.d5.loss_cls: 0.8285, decode.d5.loss_mask: 0.7456, decode.d5.loss_dice: 1.0655, decode.d6.loss_cls: 0.8115, decode.d6.loss_mask: 0.7438, decode.d6.loss_dice: 1.0641, decode.d7.loss_cls: 0.8117, decode.d7.loss_mask: 0.7411, decode.d7.loss_dice: 1.0609, decode.d8.loss_cls: 0.8013, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.0678, loss: 29.4127 2022-06-21 18:46:40,763 - mmseg - INFO - Iter [32950/40000] lr: 2.715e-06, eta: 1:03:57, time: 0.539, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7867, decode.loss_mask: 0.7767, decode.loss_dice: 1.0773, decode.d0.loss_cls: 2.9942, decode.d0.loss_mask: 0.8244, decode.d0.loss_dice: 1.2527, decode.d1.loss_cls: 1.1043, decode.d1.loss_mask: 0.8065, decode.d1.loss_dice: 1.1449, decode.d2.loss_cls: 0.9215, decode.d2.loss_mask: 0.7888, decode.d2.loss_dice: 1.1007, decode.d3.loss_cls: 0.8513, decode.d3.loss_mask: 0.7805, decode.d3.loss_dice: 1.0848, decode.d4.loss_cls: 0.8238, decode.d4.loss_mask: 0.7832, decode.d4.loss_dice: 1.0871, decode.d5.loss_cls: 0.8083, decode.d5.loss_mask: 0.7825, decode.d5.loss_dice: 1.0828, decode.d6.loss_cls: 0.7963, decode.d6.loss_mask: 0.7789, decode.d6.loss_dice: 1.0810, decode.d7.loss_cls: 0.7894, decode.d7.loss_mask: 0.7795, decode.d7.loss_dice: 1.0837, decode.d8.loss_cls: 0.7883, decode.d8.loss_mask: 0.7764, decode.d8.loss_dice: 1.0803, loss: 29.6170 2022-06-21 18:47:07,801 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-06-21 18:47:13,602 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:47:13,602 - mmseg - INFO - Iter [33000/40000] lr: 2.695e-06, eta: 1:03:31, time: 0.656, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7789, decode.loss_mask: 0.7540, decode.loss_dice: 1.0779, decode.d0.loss_cls: 3.0152, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.2421, decode.d1.loss_cls: 1.1178, decode.d1.loss_mask: 0.7854, decode.d1.loss_dice: 1.1497, decode.d2.loss_cls: 0.9392, decode.d2.loss_mask: 0.7646, decode.d2.loss_dice: 1.1038, decode.d3.loss_cls: 0.8567, decode.d3.loss_mask: 0.7618, decode.d3.loss_dice: 1.0879, decode.d4.loss_cls: 0.8396, decode.d4.loss_mask: 0.7554, decode.d4.loss_dice: 1.0875, decode.d5.loss_cls: 0.8205, decode.d5.loss_mask: 0.7554, decode.d5.loss_dice: 1.0840, decode.d6.loss_cls: 0.7991, decode.d6.loss_mask: 0.7557, decode.d6.loss_dice: 1.0766, decode.d7.loss_cls: 0.7840, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.7817, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.0824, loss: 29.4513 2022-06-21 18:47:40,998 - mmseg - INFO - Iter [33050/40000] lr: 2.676e-06, eta: 1:03:04, time: 0.548, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7482, decode.loss_mask: 0.7708, decode.loss_dice: 1.0776, decode.d0.loss_cls: 2.9778, decode.d0.loss_mask: 0.8053, decode.d0.loss_dice: 1.2324, decode.d1.loss_cls: 1.0760, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.1379, decode.d2.loss_cls: 0.9026, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.0946, decode.d3.loss_cls: 0.8295, decode.d3.loss_mask: 0.7784, decode.d3.loss_dice: 1.0840, decode.d4.loss_cls: 0.8016, decode.d4.loss_mask: 0.7781, decode.d4.loss_dice: 1.0846, decode.d5.loss_cls: 0.7825, decode.d5.loss_mask: 0.7762, decode.d5.loss_dice: 1.0819, decode.d6.loss_cls: 0.7598, decode.d6.loss_mask: 0.7740, decode.d6.loss_dice: 1.0762, decode.d7.loss_cls: 0.7611, decode.d7.loss_mask: 0.7703, decode.d7.loss_dice: 1.0820, decode.d8.loss_cls: 0.7518, decode.d8.loss_mask: 0.7761, decode.d8.loss_dice: 1.0784, loss: 29.2253 2022-06-21 18:48:07,371 - mmseg - INFO - Iter [33100/40000] lr: 2.657e-06, eta: 1:02:37, time: 0.527, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7769, decode.loss_mask: 0.7902, decode.loss_dice: 1.0660, decode.d0.loss_cls: 3.0107, decode.d0.loss_mask: 0.8352, decode.d0.loss_dice: 1.2228, decode.d1.loss_cls: 1.1156, decode.d1.loss_mask: 0.8206, decode.d1.loss_dice: 1.1275, decode.d2.loss_cls: 0.9349, decode.d2.loss_mask: 0.8012, decode.d2.loss_dice: 1.0911, decode.d3.loss_cls: 0.8541, decode.d3.loss_mask: 0.8007, decode.d3.loss_dice: 1.0760, decode.d4.loss_cls: 0.8319, decode.d4.loss_mask: 0.7965, decode.d4.loss_dice: 1.0727, decode.d5.loss_cls: 0.8156, decode.d5.loss_mask: 0.7925, decode.d5.loss_dice: 1.0706, decode.d6.loss_cls: 0.7944, decode.d6.loss_mask: 0.7916, decode.d6.loss_dice: 1.0664, decode.d7.loss_cls: 0.7847, decode.d7.loss_mask: 0.7890, decode.d7.loss_dice: 1.0679, decode.d8.loss_cls: 0.7826, decode.d8.loss_mask: 0.7919, decode.d8.loss_dice: 1.0651, loss: 29.6367 2022-06-21 18:48:34,563 - mmseg - INFO - Iter [33150/40000] lr: 2.638e-06, eta: 1:02:09, time: 0.544, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7254, decode.loss_mask: 0.7383, decode.loss_dice: 1.0488, decode.d0.loss_cls: 3.0019, decode.d0.loss_mask: 0.7980, decode.d0.loss_dice: 1.2228, decode.d1.loss_cls: 1.0691, decode.d1.loss_mask: 0.7716, decode.d1.loss_dice: 1.1247, decode.d2.loss_cls: 0.8954, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.0779, decode.d3.loss_cls: 0.8193, decode.d3.loss_mask: 0.7454, decode.d3.loss_dice: 1.0629, decode.d4.loss_cls: 0.7909, decode.d4.loss_mask: 0.7435, decode.d4.loss_dice: 1.0607, decode.d5.loss_cls: 0.7711, decode.d5.loss_mask: 0.7446, decode.d5.loss_dice: 1.0533, decode.d6.loss_cls: 0.7518, decode.d6.loss_mask: 0.7424, decode.d6.loss_dice: 1.0474, decode.d7.loss_cls: 0.7420, decode.d7.loss_mask: 0.7393, decode.d7.loss_dice: 1.0528, decode.d8.loss_cls: 0.7251, decode.d8.loss_mask: 0.7397, decode.d8.loss_dice: 1.0545, loss: 28.6139 2022-06-21 18:49:02,508 - mmseg - INFO - Iter [33200/40000] lr: 2.618e-06, eta: 1:01:42, time: 0.559, data_time: 0.060, memory: 40943, decode.loss_cls: 0.7943, decode.loss_mask: 0.7843, decode.loss_dice: 1.0989, decode.d0.loss_cls: 3.0323, decode.d0.loss_mask: 0.8367, decode.d0.loss_dice: 1.2626, decode.d1.loss_cls: 1.1257, decode.d1.loss_mask: 0.8096, decode.d1.loss_dice: 1.1587, decode.d2.loss_cls: 0.9543, decode.d2.loss_mask: 0.7991, decode.d2.loss_dice: 1.1176, decode.d3.loss_cls: 0.8810, decode.d3.loss_mask: 0.7921, decode.d3.loss_dice: 1.1061, decode.d4.loss_cls: 0.8522, decode.d4.loss_mask: 0.7866, decode.d4.loss_dice: 1.1040, decode.d5.loss_cls: 0.8370, decode.d5.loss_mask: 0.7845, decode.d5.loss_dice: 1.1018, decode.d6.loss_cls: 0.8158, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.0972, decode.d7.loss_cls: 0.8023, decode.d7.loss_mask: 0.7833, decode.d7.loss_dice: 1.1007, decode.d8.loss_cls: 0.7949, decode.d8.loss_mask: 0.7816, decode.d8.loss_dice: 1.0979, loss: 30.0773 2022-06-21 18:49:28,556 - mmseg - INFO - Iter [33250/40000] lr: 2.599e-06, eta: 1:01:15, time: 0.521, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7313, decode.loss_mask: 0.7528, decode.loss_dice: 1.0826, decode.d0.loss_cls: 2.9748, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.2373, decode.d1.loss_cls: 1.0590, decode.d1.loss_mask: 0.7711, decode.d1.loss_dice: 1.1453, decode.d2.loss_cls: 0.8834, decode.d2.loss_mask: 0.7607, decode.d2.loss_dice: 1.1086, decode.d3.loss_cls: 0.8188, decode.d3.loss_mask: 0.7563, decode.d3.loss_dice: 1.0929, decode.d4.loss_cls: 0.7895, decode.d4.loss_mask: 0.7558, decode.d4.loss_dice: 1.0944, decode.d5.loss_cls: 0.7637, decode.d5.loss_mask: 0.7524, decode.d5.loss_dice: 1.0887, decode.d6.loss_cls: 0.7555, decode.d6.loss_mask: 0.7531, decode.d6.loss_dice: 1.0853, decode.d7.loss_cls: 0.7430, decode.d7.loss_mask: 0.7508, decode.d7.loss_dice: 1.0867, decode.d8.loss_cls: 0.7375, decode.d8.loss_mask: 0.7490, decode.d8.loss_dice: 1.0830, loss: 28.9613 2022-06-21 18:49:55,317 - mmseg - INFO - Iter [33300/40000] lr: 2.580e-06, eta: 1:00:47, time: 0.536, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7326, decode.loss_mask: 0.7687, decode.loss_dice: 1.0666, decode.d0.loss_cls: 2.8757, decode.d0.loss_mask: 0.8101, decode.d0.loss_dice: 1.2034, decode.d1.loss_cls: 1.0336, decode.d1.loss_mask: 0.7995, decode.d1.loss_dice: 1.1220, decode.d2.loss_cls: 0.8615, decode.d2.loss_mask: 0.7817, decode.d2.loss_dice: 1.0843, decode.d3.loss_cls: 0.8150, decode.d3.loss_mask: 0.7726, decode.d3.loss_dice: 1.0684, decode.d4.loss_cls: 0.7915, decode.d4.loss_mask: 0.7726, decode.d4.loss_dice: 1.0727, decode.d5.loss_cls: 0.7711, decode.d5.loss_mask: 0.7710, decode.d5.loss_dice: 1.0695, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.7733, decode.d6.loss_dice: 1.0699, decode.d7.loss_cls: 0.7491, decode.d7.loss_mask: 0.7713, decode.d7.loss_dice: 1.0643, decode.d8.loss_cls: 0.7399, decode.d8.loss_mask: 0.7703, decode.d8.loss_dice: 1.0625, loss: 28.7911 2022-06-21 18:50:22,407 - mmseg - INFO - Iter [33350/40000] lr: 2.561e-06, eta: 1:00:20, time: 0.542, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7753, decode.loss_mask: 0.7514, decode.loss_dice: 1.0746, decode.d0.loss_cls: 3.0049, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.2396, decode.d1.loss_cls: 1.1019, decode.d1.loss_mask: 0.7816, decode.d1.loss_dice: 1.1494, decode.d2.loss_cls: 0.9188, decode.d2.loss_mask: 0.7614, decode.d2.loss_dice: 1.1026, decode.d3.loss_cls: 0.8496, decode.d3.loss_mask: 0.7581, decode.d3.loss_dice: 1.0864, decode.d4.loss_cls: 0.8176, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.0868, decode.d5.loss_cls: 0.8020, decode.d5.loss_mask: 0.7541, decode.d5.loss_dice: 1.0830, decode.d6.loss_cls: 0.7791, decode.d6.loss_mask: 0.7550, decode.d6.loss_dice: 1.0843, decode.d7.loss_cls: 0.7773, decode.d7.loss_mask: 0.7542, decode.d7.loss_dice: 1.0772, decode.d8.loss_cls: 0.7748, decode.d8.loss_mask: 0.7535, decode.d8.loss_dice: 1.0765, loss: 29.2903 2022-06-21 18:50:49,542 - mmseg - INFO - Iter [33400/40000] lr: 2.541e-06, eta: 0:59:53, time: 0.542, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7453, decode.loss_mask: 0.7544, decode.loss_dice: 1.0674, decode.d0.loss_cls: 3.0160, decode.d0.loss_mask: 0.8115, decode.d0.loss_dice: 1.2452, decode.d1.loss_cls: 1.0766, decode.d1.loss_mask: 0.7833, decode.d1.loss_dice: 1.1390, decode.d2.loss_cls: 0.8959, decode.d2.loss_mask: 0.7727, decode.d2.loss_dice: 1.0995, decode.d3.loss_cls: 0.8214, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.0763, decode.d4.loss_cls: 0.8020, decode.d4.loss_mask: 0.7596, decode.d4.loss_dice: 1.0774, decode.d5.loss_cls: 0.7775, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.0753, decode.d6.loss_cls: 0.7623, decode.d6.loss_mask: 0.7553, decode.d6.loss_dice: 1.0673, decode.d7.loss_cls: 0.7565, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.0656, decode.d8.loss_cls: 0.7476, decode.d8.loss_mask: 0.7523, decode.d8.loss_dice: 1.0682, loss: 29.0421 2022-06-21 18:51:15,775 - mmseg - INFO - Iter [33450/40000] lr: 2.522e-06, eta: 0:59:26, time: 0.525, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7956, decode.loss_mask: 0.7702, decode.loss_dice: 1.0760, decode.d0.loss_cls: 3.0481, decode.d0.loss_mask: 0.8256, decode.d0.loss_dice: 1.2383, decode.d1.loss_cls: 1.1051, decode.d1.loss_mask: 0.8000, decode.d1.loss_dice: 1.1431, decode.d2.loss_cls: 0.9421, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.0952, decode.d3.loss_cls: 0.8845, decode.d3.loss_mask: 0.7767, decode.d3.loss_dice: 1.0806, decode.d4.loss_cls: 0.8563, decode.d4.loss_mask: 0.7755, decode.d4.loss_dice: 1.0857, decode.d5.loss_cls: 0.8407, decode.d5.loss_mask: 0.7720, decode.d5.loss_dice: 1.0800, decode.d6.loss_cls: 0.8190, decode.d6.loss_mask: 0.7703, decode.d6.loss_dice: 1.0766, decode.d7.loss_cls: 0.8162, decode.d7.loss_mask: 0.7704, decode.d7.loss_dice: 1.0737, decode.d8.loss_cls: 0.8036, decode.d8.loss_mask: 0.7706, decode.d8.loss_dice: 1.0749, loss: 29.7460 2022-06-21 18:51:41,915 - mmseg - INFO - Iter [33500/40000] lr: 2.503e-06, eta: 0:58:58, time: 0.522, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7666, decode.loss_mask: 0.7697, decode.loss_dice: 1.0952, decode.d0.loss_cls: 3.0270, decode.d0.loss_mask: 0.8255, decode.d0.loss_dice: 1.2640, decode.d1.loss_cls: 1.0949, decode.d1.loss_mask: 0.8001, decode.d1.loss_dice: 1.1694, decode.d2.loss_cls: 0.9058, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.1231, decode.d3.loss_cls: 0.8444, decode.d3.loss_mask: 0.7787, decode.d3.loss_dice: 1.1076, decode.d4.loss_cls: 0.8216, decode.d4.loss_mask: 0.7770, decode.d4.loss_dice: 1.1046, decode.d5.loss_cls: 0.7916, decode.d5.loss_mask: 0.7721, decode.d5.loss_dice: 1.1064, decode.d6.loss_cls: 0.7829, decode.d6.loss_mask: 0.7722, decode.d6.loss_dice: 1.0967, decode.d7.loss_cls: 0.7767, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.0991, decode.d8.loss_cls: 0.7740, decode.d8.loss_mask: 0.7730, decode.d8.loss_dice: 1.0938, loss: 29.6708 2022-06-21 18:52:06,878 - mmseg - INFO - Iter [33550/40000] lr: 2.484e-06, eta: 0:58:31, time: 0.500, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7630, decode.loss_mask: 0.7413, decode.loss_dice: 1.0902, decode.d0.loss_cls: 3.0217, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.2695, decode.d1.loss_cls: 1.1112, decode.d1.loss_mask: 0.7696, decode.d1.loss_dice: 1.1773, decode.d2.loss_cls: 0.9385, decode.d2.loss_mask: 0.7576, decode.d2.loss_dice: 1.1212, decode.d3.loss_cls: 0.8597, decode.d3.loss_mask: 0.7493, decode.d3.loss_dice: 1.1068, decode.d4.loss_cls: 0.8221, decode.d4.loss_mask: 0.7499, decode.d4.loss_dice: 1.1018, decode.d5.loss_cls: 0.8085, decode.d5.loss_mask: 0.7470, decode.d5.loss_dice: 1.0994, decode.d6.loss_cls: 0.7894, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.0927, decode.d7.loss_cls: 0.7691, decode.d7.loss_mask: 0.7396, decode.d7.loss_dice: 1.0959, decode.d8.loss_cls: 0.7794, decode.d8.loss_mask: 0.7407, decode.d8.loss_dice: 1.0931, loss: 29.4423 2022-06-21 18:52:32,291 - mmseg - INFO - Iter [33600/40000] lr: 2.464e-06, eta: 0:58:03, time: 0.508, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7795, decode.loss_mask: 0.7560, decode.loss_dice: 1.0757, decode.d0.loss_cls: 2.9942, decode.d0.loss_mask: 0.8067, decode.d0.loss_dice: 1.2537, decode.d1.loss_cls: 1.1115, decode.d1.loss_mask: 0.7855, decode.d1.loss_dice: 1.1539, decode.d2.loss_cls: 0.9308, decode.d2.loss_mask: 0.7727, decode.d2.loss_dice: 1.1080, decode.d3.loss_cls: 0.8560, decode.d3.loss_mask: 0.7649, decode.d3.loss_dice: 1.0899, decode.d4.loss_cls: 0.8274, decode.d4.loss_mask: 0.7641, decode.d4.loss_dice: 1.0834, decode.d5.loss_cls: 0.8109, decode.d5.loss_mask: 0.7619, decode.d5.loss_dice: 1.0805, decode.d6.loss_cls: 0.7986, decode.d6.loss_mask: 0.7619, decode.d6.loss_dice: 1.0776, decode.d7.loss_cls: 0.7939, decode.d7.loss_mask: 0.7609, decode.d7.loss_dice: 1.0797, decode.d8.loss_cls: 0.7897, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.0796, loss: 29.4698 2022-06-21 18:52:57,544 - mmseg - INFO - Iter [33650/40000] lr: 2.445e-06, eta: 0:57:35, time: 0.505, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7608, decode.loss_mask: 0.7498, decode.loss_dice: 1.0457, decode.d0.loss_cls: 2.9905, decode.d0.loss_mask: 0.7972, decode.d0.loss_dice: 1.2213, decode.d1.loss_cls: 1.0633, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.1254, decode.d2.loss_cls: 0.9041, decode.d2.loss_mask: 0.7649, decode.d2.loss_dice: 1.0801, decode.d3.loss_cls: 0.8270, decode.d3.loss_mask: 0.7603, decode.d3.loss_dice: 1.0610, decode.d4.loss_cls: 0.8071, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.0598, decode.d5.loss_cls: 0.7915, decode.d5.loss_mask: 0.7587, decode.d5.loss_dice: 1.0613, decode.d6.loss_cls: 0.7709, decode.d6.loss_mask: 0.7566, decode.d6.loss_dice: 1.0536, decode.d7.loss_cls: 0.7601, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.0579, decode.d8.loss_cls: 0.7561, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.0531, loss: 28.8939 2022-06-21 18:53:22,992 - mmseg - INFO - Iter [33700/40000] lr: 2.426e-06, eta: 0:57:08, time: 0.509, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7601, decode.loss_mask: 0.7349, decode.loss_dice: 1.0479, decode.d0.loss_cls: 3.0078, decode.d0.loss_mask: 0.7702, decode.d0.loss_dice: 1.2261, decode.d1.loss_cls: 1.0986, decode.d1.loss_mask: 0.7536, decode.d1.loss_dice: 1.1224, decode.d2.loss_cls: 0.9185, decode.d2.loss_mask: 0.7421, decode.d2.loss_dice: 1.0762, decode.d3.loss_cls: 0.8464, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.0627, decode.d4.loss_cls: 0.8136, decode.d4.loss_mask: 0.7353, decode.d4.loss_dice: 1.0598, decode.d5.loss_cls: 0.7975, decode.d5.loss_mask: 0.7367, decode.d5.loss_dice: 1.0558, decode.d6.loss_cls: 0.7869, decode.d6.loss_mask: 0.7360, decode.d6.loss_dice: 1.0469, decode.d7.loss_cls: 0.7750, decode.d7.loss_mask: 0.7346, decode.d7.loss_dice: 1.0505, decode.d8.loss_cls: 0.7628, decode.d8.loss_mask: 0.7344, decode.d8.loss_dice: 1.0494, loss: 28.7781 2022-06-21 18:53:50,614 - mmseg - INFO - Iter [33750/40000] lr: 2.407e-06, eta: 0:56:41, time: 0.552, data_time: 0.057, memory: 40943, decode.loss_cls: 0.7581, decode.loss_mask: 0.7240, decode.loss_dice: 1.0440, decode.d0.loss_cls: 3.0218, decode.d0.loss_mask: 0.7790, decode.d0.loss_dice: 1.2229, decode.d1.loss_cls: 1.0722, decode.d1.loss_mask: 0.7568, decode.d1.loss_dice: 1.1128, decode.d2.loss_cls: 0.8918, decode.d2.loss_mask: 0.7371, decode.d2.loss_dice: 1.0646, decode.d3.loss_cls: 0.8265, decode.d3.loss_mask: 0.7259, decode.d3.loss_dice: 1.0514, decode.d4.loss_cls: 0.8013, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.0567, decode.d5.loss_cls: 0.7774, decode.d5.loss_mask: 0.7245, decode.d5.loss_dice: 1.0558, decode.d6.loss_cls: 0.7635, decode.d6.loss_mask: 0.7196, decode.d6.loss_dice: 1.0447, decode.d7.loss_cls: 0.7524, decode.d7.loss_mask: 0.7241, decode.d7.loss_dice: 1.0497, decode.d8.loss_cls: 0.7455, decode.d8.loss_mask: 0.7217, decode.d8.loss_dice: 1.0463, loss: 28.4981 2022-06-21 18:54:15,431 - mmseg - INFO - Iter [33800/40000] lr: 2.387e-06, eta: 0:56:13, time: 0.496, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7137, decode.loss_mask: 0.7655, decode.loss_dice: 1.0440, decode.d0.loss_cls: 2.9778, decode.d0.loss_mask: 0.8188, decode.d0.loss_dice: 1.2129, decode.d1.loss_cls: 1.0582, decode.d1.loss_mask: 0.7978, decode.d1.loss_dice: 1.1086, decode.d2.loss_cls: 0.8766, decode.d2.loss_mask: 0.7813, decode.d2.loss_dice: 1.0664, decode.d3.loss_cls: 0.7998, decode.d3.loss_mask: 0.7708, decode.d3.loss_dice: 1.0525, decode.d4.loss_cls: 0.7643, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.0530, decode.d5.loss_cls: 0.7461, decode.d5.loss_mask: 0.7698, decode.d5.loss_dice: 1.0462, decode.d6.loss_cls: 0.7315, decode.d6.loss_mask: 0.7680, decode.d6.loss_dice: 1.0454, decode.d7.loss_cls: 0.7242, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.0472, decode.d8.loss_cls: 0.7218, decode.d8.loss_mask: 0.7677, decode.d8.loss_dice: 1.0469, loss: 28.6131 2022-06-21 18:54:40,678 - mmseg - INFO - Iter [33850/40000] lr: 2.368e-06, eta: 0:55:45, time: 0.505, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7539, decode.loss_mask: 0.7546, decode.loss_dice: 1.0761, decode.d0.loss_cls: 3.0302, decode.d0.loss_mask: 0.8099, decode.d0.loss_dice: 1.2438, decode.d1.loss_cls: 1.0774, decode.d1.loss_mask: 0.7915, decode.d1.loss_dice: 1.1504, decode.d2.loss_cls: 0.9053, decode.d2.loss_mask: 0.7690, decode.d2.loss_dice: 1.1048, decode.d3.loss_cls: 0.8304, decode.d3.loss_mask: 0.7640, decode.d3.loss_dice: 1.0856, decode.d4.loss_cls: 0.8110, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.0847, decode.d5.loss_cls: 0.7865, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.0838, decode.d6.loss_cls: 0.7713, decode.d6.loss_mask: 0.7603, decode.d6.loss_dice: 1.0793, decode.d7.loss_cls: 0.7656, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.0748, decode.d8.loss_cls: 0.7544, decode.d8.loss_mask: 0.7578, decode.d8.loss_dice: 1.0784, loss: 29.2321 2022-06-21 18:55:06,616 - mmseg - INFO - Iter [33900/40000] lr: 2.349e-06, eta: 0:55:18, time: 0.519, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7530, decode.loss_mask: 0.7504, decode.loss_dice: 1.0617, decode.d0.loss_cls: 3.0222, decode.d0.loss_mask: 0.8033, decode.d0.loss_dice: 1.2471, decode.d1.loss_cls: 1.0928, decode.d1.loss_mask: 0.7866, decode.d1.loss_dice: 1.1456, decode.d2.loss_cls: 0.9123, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.0924, decode.d3.loss_cls: 0.8386, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.0797, decode.d4.loss_cls: 0.8027, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.0767, decode.d5.loss_cls: 0.7938, decode.d5.loss_mask: 0.7509, decode.d5.loss_dice: 1.0655, decode.d6.loss_cls: 0.7673, decode.d6.loss_mask: 0.7530, decode.d6.loss_dice: 1.0661, decode.d7.loss_cls: 0.7614, decode.d7.loss_mask: 0.7497, decode.d7.loss_dice: 1.0621, decode.d8.loss_cls: 0.7512, decode.d8.loss_mask: 0.7504, decode.d8.loss_dice: 1.0624, loss: 29.0774 2022-06-21 18:55:31,467 - mmseg - INFO - Iter [33950/40000] lr: 2.330e-06, eta: 0:54:50, time: 0.497, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7633, decode.loss_mask: 0.7724, decode.loss_dice: 1.0712, decode.d0.loss_cls: 2.9546, decode.d0.loss_mask: 0.8262, decode.d0.loss_dice: 1.2308, decode.d1.loss_cls: 1.0871, decode.d1.loss_mask: 0.8024, decode.d1.loss_dice: 1.1417, decode.d2.loss_cls: 0.9082, decode.d2.loss_mask: 0.7823, decode.d2.loss_dice: 1.0979, decode.d3.loss_cls: 0.8348, decode.d3.loss_mask: 0.7811, decode.d3.loss_dice: 1.0849, decode.d4.loss_cls: 0.8140, decode.d4.loss_mask: 0.7779, decode.d4.loss_dice: 1.0817, decode.d5.loss_cls: 0.7945, decode.d5.loss_mask: 0.7739, decode.d5.loss_dice: 1.0766, decode.d6.loss_cls: 0.7824, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.0737, decode.d7.loss_cls: 0.7730, decode.d7.loss_mask: 0.7743, decode.d7.loss_dice: 1.0662, decode.d8.loss_cls: 0.7579, decode.d8.loss_mask: 0.7739, decode.d8.loss_dice: 1.0745, loss: 29.3076 2022-06-21 18:55:56,496 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-06-21 18:56:03,649 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 18:56:03,650 - mmseg - INFO - Iter [34000/40000] lr: 2.310e-06, eta: 0:54:24, time: 0.644, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7417, decode.loss_mask: 0.7535, decode.loss_dice: 1.0277, decode.d0.loss_cls: 3.0045, decode.d0.loss_mask: 0.8012, decode.d0.loss_dice: 1.1903, decode.d1.loss_cls: 1.0798, decode.d1.loss_mask: 0.7826, decode.d1.loss_dice: 1.0889, decode.d2.loss_cls: 0.9008, decode.d2.loss_mask: 0.7650, decode.d2.loss_dice: 1.0511, decode.d3.loss_cls: 0.8152, decode.d3.loss_mask: 0.7593, decode.d3.loss_dice: 1.0367, decode.d4.loss_cls: 0.7977, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.0353, decode.d5.loss_cls: 0.7697, decode.d5.loss_mask: 0.7572, decode.d5.loss_dice: 1.0289, decode.d6.loss_cls: 0.7554, decode.d6.loss_mask: 0.7551, decode.d6.loss_dice: 1.0283, decode.d7.loss_cls: 0.7560, decode.d7.loss_mask: 0.7528, decode.d7.loss_dice: 1.0241, decode.d8.loss_cls: 0.7489, decode.d8.loss_mask: 0.7537, decode.d8.loss_dice: 1.0217, loss: 28.5415 2022-06-21 18:56:28,696 - mmseg - INFO - Iter [34050/40000] lr: 2.291e-06, eta: 0:53:57, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7607, decode.loss_mask: 0.7637, decode.loss_dice: 1.0823, decode.d0.loss_cls: 2.9803, decode.d0.loss_mask: 0.8233, decode.d0.loss_dice: 1.2633, decode.d1.loss_cls: 1.0870, decode.d1.loss_mask: 0.7936, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.9046, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.1134, decode.d3.loss_cls: 0.8356, decode.d3.loss_mask: 0.7682, decode.d3.loss_dice: 1.0951, decode.d4.loss_cls: 0.8088, decode.d4.loss_mask: 0.7643, decode.d4.loss_dice: 1.0900, decode.d5.loss_cls: 0.7908, decode.d5.loss_mask: 0.7635, decode.d5.loss_dice: 1.0826, decode.d6.loss_cls: 0.7792, decode.d6.loss_mask: 0.7644, decode.d6.loss_dice: 1.0798, decode.d7.loss_cls: 0.7629, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.0843, decode.d8.loss_cls: 0.7620, decode.d8.loss_mask: 0.7629, decode.d8.loss_dice: 1.0813, loss: 29.3453 2022-06-21 18:56:55,013 - mmseg - INFO - Iter [34100/40000] lr: 2.272e-06, eta: 0:53:29, time: 0.526, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7746, decode.loss_mask: 0.7586, decode.loss_dice: 1.0666, decode.d0.loss_cls: 3.0297, decode.d0.loss_mask: 0.8140, decode.d0.loss_dice: 1.2503, decode.d1.loss_cls: 1.0854, decode.d1.loss_mask: 0.7914, decode.d1.loss_dice: 1.1486, decode.d2.loss_cls: 0.9110, decode.d2.loss_mask: 0.7683, decode.d2.loss_dice: 1.1061, decode.d3.loss_cls: 0.8445, decode.d3.loss_mask: 0.7641, decode.d3.loss_dice: 1.0857, decode.d4.loss_cls: 0.8203, decode.d4.loss_mask: 0.7636, decode.d4.loss_dice: 1.0829, decode.d5.loss_cls: 0.7973, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.0749, decode.d6.loss_cls: 0.7871, decode.d6.loss_mask: 0.7606, decode.d6.loss_dice: 1.0686, decode.d7.loss_cls: 0.7771, decode.d7.loss_mask: 0.7598, decode.d7.loss_dice: 1.0738, decode.d8.loss_cls: 0.7768, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.0668, loss: 29.3273 2022-06-21 18:57:20,465 - mmseg - INFO - Iter [34150/40000] lr: 2.253e-06, eta: 0:53:02, time: 0.509, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7744, decode.loss_mask: 0.7517, decode.loss_dice: 1.0797, decode.d0.loss_cls: 3.0368, decode.d0.loss_mask: 0.8088, decode.d0.loss_dice: 1.2606, decode.d1.loss_cls: 1.1180, decode.d1.loss_mask: 0.7790, decode.d1.loss_dice: 1.1589, decode.d2.loss_cls: 0.9189, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.1127, decode.d3.loss_cls: 0.8498, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.0978, decode.d4.loss_cls: 0.8280, decode.d4.loss_mask: 0.7532, decode.d4.loss_dice: 1.1031, decode.d5.loss_cls: 0.7994, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.0919, decode.d6.loss_cls: 0.7827, decode.d6.loss_mask: 0.7568, decode.d6.loss_dice: 1.0893, decode.d7.loss_cls: 0.7773, decode.d7.loss_mask: 0.7557, decode.d7.loss_dice: 1.0888, decode.d8.loss_cls: 0.7755, decode.d8.loss_mask: 0.7509, decode.d8.loss_dice: 1.0878, loss: 29.4631 2022-06-21 18:57:46,451 - mmseg - INFO - Iter [34200/40000] lr: 2.233e-06, eta: 0:52:34, time: 0.520, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7461, decode.loss_mask: 0.7372, decode.loss_dice: 1.0358, decode.d0.loss_cls: 2.9505, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.2140, decode.d1.loss_cls: 1.0489, decode.d1.loss_mask: 0.7647, decode.d1.loss_dice: 1.1090, decode.d2.loss_cls: 0.8836, decode.d2.loss_mask: 0.7464, decode.d2.loss_dice: 1.0681, decode.d3.loss_cls: 0.8110, decode.d3.loss_mask: 0.7429, decode.d3.loss_dice: 1.0509, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7425, decode.d4.loss_dice: 1.0524, decode.d5.loss_cls: 0.7788, decode.d5.loss_mask: 0.7389, decode.d5.loss_dice: 1.0426, decode.d6.loss_cls: 0.7585, decode.d6.loss_mask: 0.7391, decode.d6.loss_dice: 1.0374, decode.d7.loss_cls: 0.7579, decode.d7.loss_mask: 0.7355, decode.d7.loss_dice: 1.0330, decode.d8.loss_cls: 0.7451, decode.d8.loss_mask: 0.7374, decode.d8.loss_dice: 1.0400, loss: 28.4268 2022-06-21 18:58:12,273 - mmseg - INFO - Iter [34250/40000] lr: 2.214e-06, eta: 0:52:07, time: 0.516, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7676, decode.loss_mask: 0.7541, decode.loss_dice: 1.0800, decode.d0.loss_cls: 3.0206, decode.d0.loss_mask: 0.7979, decode.d0.loss_dice: 1.2514, decode.d1.loss_cls: 1.1109, decode.d1.loss_mask: 0.7809, decode.d1.loss_dice: 1.1516, decode.d2.loss_cls: 0.9181, decode.d2.loss_mask: 0.7690, decode.d2.loss_dice: 1.1104, decode.d3.loss_cls: 0.8536, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.0940, decode.d4.loss_cls: 0.8173, decode.d4.loss_mask: 0.7618, decode.d4.loss_dice: 1.0873, decode.d5.loss_cls: 0.7985, decode.d5.loss_mask: 0.7608, decode.d5.loss_dice: 1.0877, decode.d6.loss_cls: 0.7841, decode.d6.loss_mask: 0.7597, decode.d6.loss_dice: 1.0829, decode.d7.loss_cls: 0.7701, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.0789, decode.d8.loss_cls: 0.7635, decode.d8.loss_mask: 0.7544, decode.d8.loss_dice: 1.0848, loss: 29.3688 2022-06-21 18:58:41,013 - mmseg - INFO - Iter [34300/40000] lr: 2.195e-06, eta: 0:51:40, time: 0.575, data_time: 0.060, memory: 40943, decode.loss_cls: 0.7564, decode.loss_mask: 0.7435, decode.loss_dice: 1.0584, decode.d0.loss_cls: 3.0007, decode.d0.loss_mask: 0.7944, decode.d0.loss_dice: 1.2296, decode.d1.loss_cls: 1.0763, decode.d1.loss_mask: 0.7802, decode.d1.loss_dice: 1.1300, decode.d2.loss_cls: 0.9049, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.0816, decode.d3.loss_cls: 0.8428, decode.d3.loss_mask: 0.7491, decode.d3.loss_dice: 1.0670, decode.d4.loss_cls: 0.8038, decode.d4.loss_mask: 0.7482, decode.d4.loss_dice: 1.0729, decode.d5.loss_cls: 0.7845, decode.d5.loss_mask: 0.7469, decode.d5.loss_dice: 1.0688, decode.d6.loss_cls: 0.7712, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.0599, decode.d7.loss_cls: 0.7633, decode.d7.loss_mask: 0.7440, decode.d7.loss_dice: 1.0590, decode.d8.loss_cls: 0.7585, decode.d8.loss_mask: 0.7440, decode.d8.loss_dice: 1.0568, loss: 28.8991 2022-06-21 18:59:06,831 - mmseg - INFO - Iter [34350/40000] lr: 2.176e-06, eta: 0:51:12, time: 0.516, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7661, decode.loss_mask: 0.7505, decode.loss_dice: 1.0668, decode.d0.loss_cls: 3.0075, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.2329, decode.d1.loss_cls: 1.0652, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.1394, decode.d2.loss_cls: 0.8978, decode.d2.loss_mask: 0.7659, decode.d2.loss_dice: 1.0838, decode.d3.loss_cls: 0.8342, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.0691, decode.d4.loss_cls: 0.8064, decode.d4.loss_mask: 0.7602, decode.d4.loss_dice: 1.0736, decode.d5.loss_cls: 0.7957, decode.d5.loss_mask: 0.7580, decode.d5.loss_dice: 1.0682, decode.d6.loss_cls: 0.7820, decode.d6.loss_mask: 0.7548, decode.d6.loss_dice: 1.0688, decode.d7.loss_cls: 0.7675, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.0616, decode.d8.loss_cls: 0.7715, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.0619, loss: 29.0410 2022-06-21 18:59:31,482 - mmseg - INFO - Iter [34400/40000] lr: 2.156e-06, eta: 0:50:45, time: 0.493, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7796, decode.loss_mask: 0.7431, decode.loss_dice: 1.0602, decode.d0.loss_cls: 2.9815, decode.d0.loss_mask: 0.7974, decode.d0.loss_dice: 1.2341, decode.d1.loss_cls: 1.1306, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.1296, decode.d2.loss_cls: 0.9309, decode.d2.loss_mask: 0.7600, decode.d2.loss_dice: 1.0796, decode.d3.loss_cls: 0.8592, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.0657, decode.d4.loss_cls: 0.8352, decode.d4.loss_mask: 0.7511, decode.d4.loss_dice: 1.0661, decode.d5.loss_cls: 0.8124, decode.d5.loss_mask: 0.7502, decode.d5.loss_dice: 1.0645, decode.d6.loss_cls: 0.7908, decode.d6.loss_mask: 0.7486, decode.d6.loss_dice: 1.0626, decode.d7.loss_cls: 0.7820, decode.d7.loss_mask: 0.7477, decode.d7.loss_dice: 1.0580, decode.d8.loss_cls: 0.7839, decode.d8.loss_mask: 0.7490, decode.d8.loss_dice: 1.0611, loss: 29.1467 2022-06-21 18:59:56,845 - mmseg - INFO - Iter [34450/40000] lr: 2.137e-06, eta: 0:50:17, time: 0.507, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7624, decode.loss_mask: 0.7322, decode.loss_dice: 1.0679, decode.d0.loss_cls: 3.0397, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.2392, decode.d1.loss_cls: 1.0902, decode.d1.loss_mask: 0.7666, decode.d1.loss_dice: 1.1440, decode.d2.loss_cls: 0.9082, decode.d2.loss_mask: 0.7530, decode.d2.loss_dice: 1.1019, decode.d3.loss_cls: 0.8514, decode.d3.loss_mask: 0.7408, decode.d3.loss_dice: 1.0862, decode.d4.loss_cls: 0.8112, decode.d4.loss_mask: 0.7405, decode.d4.loss_dice: 1.0856, decode.d5.loss_cls: 0.7999, decode.d5.loss_mask: 0.7372, decode.d5.loss_dice: 1.0788, decode.d6.loss_cls: 0.7836, decode.d6.loss_mask: 0.7365, decode.d6.loss_dice: 1.0747, decode.d7.loss_cls: 0.7685, decode.d7.loss_mask: 0.7343, decode.d7.loss_dice: 1.0697, decode.d8.loss_cls: 0.7649, decode.d8.loss_mask: 0.7325, decode.d8.loss_dice: 1.0749, loss: 29.0629 2022-06-21 19:00:22,881 - mmseg - INFO - Iter [34500/40000] lr: 2.118e-06, eta: 0:49:50, time: 0.521, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7726, decode.loss_mask: 0.7656, decode.loss_dice: 1.0847, decode.d0.loss_cls: 3.0410, decode.d0.loss_mask: 0.8259, decode.d0.loss_dice: 1.2729, decode.d1.loss_cls: 1.0989, decode.d1.loss_mask: 0.7965, decode.d1.loss_dice: 1.1657, decode.d2.loss_cls: 0.9325, decode.d2.loss_mask: 0.7794, decode.d2.loss_dice: 1.1165, decode.d3.loss_cls: 0.8501, decode.d3.loss_mask: 0.7787, decode.d3.loss_dice: 1.0954, decode.d4.loss_cls: 0.8208, decode.d4.loss_mask: 0.7707, decode.d4.loss_dice: 1.1026, decode.d5.loss_cls: 0.8039, decode.d5.loss_mask: 0.7694, decode.d5.loss_dice: 1.0942, decode.d6.loss_cls: 0.7936, decode.d6.loss_mask: 0.7686, decode.d6.loss_dice: 1.0851, decode.d7.loss_cls: 0.7835, decode.d7.loss_mask: 0.7671, decode.d7.loss_dice: 1.0922, decode.d8.loss_cls: 0.7722, decode.d8.loss_mask: 0.7668, decode.d8.loss_dice: 1.0864, loss: 29.6534 2022-06-21 19:00:47,859 - mmseg - INFO - Iter [34550/40000] lr: 2.099e-06, eta: 0:49:22, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7591, decode.loss_mask: 0.7303, decode.loss_dice: 1.0863, decode.d0.loss_cls: 3.0439, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.2656, decode.d1.loss_cls: 1.1193, decode.d1.loss_mask: 0.7636, decode.d1.loss_dice: 1.1626, decode.d2.loss_cls: 0.9291, decode.d2.loss_mask: 0.7445, decode.d2.loss_dice: 1.1113, decode.d3.loss_cls: 0.8497, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.0982, decode.d4.loss_cls: 0.8269, decode.d4.loss_mask: 0.7373, decode.d4.loss_dice: 1.0936, decode.d5.loss_cls: 0.8002, decode.d5.loss_mask: 0.7415, decode.d5.loss_dice: 1.0894, decode.d6.loss_cls: 0.7728, decode.d6.loss_mask: 0.7369, decode.d6.loss_dice: 1.0851, decode.d7.loss_cls: 0.7681, decode.d7.loss_mask: 0.7341, decode.d7.loss_dice: 1.0866, decode.d8.loss_cls: 0.7659, decode.d8.loss_mask: 0.7310, decode.d8.loss_dice: 1.0854, loss: 29.2427 2022-06-21 19:01:12,731 - mmseg - INFO - Iter [34600/40000] lr: 2.079e-06, eta: 0:48:55, time: 0.497, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7450, decode.loss_mask: 0.7606, decode.loss_dice: 1.0828, decode.d0.loss_cls: 2.9716, decode.d0.loss_mask: 0.8076, decode.d0.loss_dice: 1.2437, decode.d1.loss_cls: 1.0642, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.1456, decode.d2.loss_cls: 0.8950, decode.d2.loss_mask: 0.7720, decode.d2.loss_dice: 1.1101, decode.d3.loss_cls: 0.8319, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.0864, decode.d4.loss_cls: 0.7961, decode.d4.loss_mask: 0.7627, decode.d4.loss_dice: 1.0923, decode.d5.loss_cls: 0.7762, decode.d5.loss_mask: 0.7620, decode.d5.loss_dice: 1.0837, decode.d6.loss_cls: 0.7571, decode.d6.loss_mask: 0.7620, decode.d6.loss_dice: 1.0749, decode.d7.loss_cls: 0.7545, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.0776, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7589, decode.d8.loss_dice: 1.0803, loss: 29.1092 2022-06-21 19:01:37,108 - mmseg - INFO - Iter [34650/40000] lr: 2.060e-06, eta: 0:48:27, time: 0.488, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7512, decode.loss_mask: 0.7598, decode.loss_dice: 1.0899, decode.d0.loss_cls: 2.9712, decode.d0.loss_mask: 0.8031, decode.d0.loss_dice: 1.2493, decode.d1.loss_cls: 1.0746, decode.d1.loss_mask: 0.7909, decode.d1.loss_dice: 1.1581, decode.d2.loss_cls: 0.8987, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.1199, decode.d3.loss_cls: 0.8397, decode.d3.loss_mask: 0.7703, decode.d3.loss_dice: 1.1012, decode.d4.loss_cls: 0.8104, decode.d4.loss_mask: 0.7694, decode.d4.loss_dice: 1.1019, decode.d5.loss_cls: 0.7960, decode.d5.loss_mask: 0.7630, decode.d5.loss_dice: 1.0995, decode.d6.loss_cls: 0.7722, decode.d6.loss_mask: 0.7657, decode.d6.loss_dice: 1.0902, decode.d7.loss_cls: 0.7608, decode.d7.loss_mask: 0.7639, decode.d7.loss_dice: 1.0933, decode.d8.loss_cls: 0.7524, decode.d8.loss_mask: 0.7648, decode.d8.loss_dice: 1.0881, loss: 29.3424 2022-06-21 19:02:03,152 - mmseg - INFO - Iter [34700/40000] lr: 2.041e-06, eta: 0:48:00, time: 0.521, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7320, decode.loss_mask: 0.7641, decode.loss_dice: 1.0391, decode.d0.loss_cls: 2.9457, decode.d0.loss_mask: 0.8189, decode.d0.loss_dice: 1.2056, decode.d1.loss_cls: 1.0770, decode.d1.loss_mask: 0.7949, decode.d1.loss_dice: 1.1089, decode.d2.loss_cls: 0.8905, decode.d2.loss_mask: 0.7759, decode.d2.loss_dice: 1.0624, decode.d3.loss_cls: 0.8227, decode.d3.loss_mask: 0.7700, decode.d3.loss_dice: 1.0466, decode.d4.loss_cls: 0.7950, decode.d4.loss_mask: 0.7663, decode.d4.loss_dice: 1.0494, decode.d5.loss_cls: 0.7774, decode.d5.loss_mask: 0.7672, decode.d5.loss_dice: 1.0456, decode.d6.loss_cls: 0.7545, decode.d6.loss_mask: 0.7658, decode.d6.loss_dice: 1.0413, decode.d7.loss_cls: 0.7442, decode.d7.loss_mask: 0.7647, decode.d7.loss_dice: 1.0396, decode.d8.loss_cls: 0.7327, decode.d8.loss_mask: 0.7673, decode.d8.loss_dice: 1.0428, loss: 28.7082 2022-06-21 19:02:29,252 - mmseg - INFO - Iter [34750/40000] lr: 2.022e-06, eta: 0:47:33, time: 0.521, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7273, decode.loss_mask: 0.7680, decode.loss_dice: 1.0580, decode.d0.loss_cls: 2.9443, decode.d0.loss_mask: 0.8124, decode.d0.loss_dice: 1.2263, decode.d1.loss_cls: 1.0524, decode.d1.loss_mask: 0.8015, decode.d1.loss_dice: 1.1321, decode.d2.loss_cls: 0.8829, decode.d2.loss_mask: 0.7808, decode.d2.loss_dice: 1.0897, decode.d3.loss_cls: 0.8175, decode.d3.loss_mask: 0.7720, decode.d3.loss_dice: 1.0737, decode.d4.loss_cls: 0.7843, decode.d4.loss_mask: 0.7705, decode.d4.loss_dice: 1.0799, decode.d5.loss_cls: 0.7604, decode.d5.loss_mask: 0.7685, decode.d5.loss_dice: 1.0729, decode.d6.loss_cls: 0.7493, decode.d6.loss_mask: 0.7663, decode.d6.loss_dice: 1.0654, decode.d7.loss_cls: 0.7355, decode.d7.loss_mask: 0.7660, decode.d7.loss_dice: 1.0706, decode.d8.loss_cls: 0.7326, decode.d8.loss_mask: 0.7686, decode.d8.loss_dice: 1.0644, loss: 28.8940 2022-06-21 19:02:53,842 - mmseg - INFO - Iter [34800/40000] lr: 2.002e-06, eta: 0:47:05, time: 0.492, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7207, decode.loss_mask: 0.7564, decode.loss_dice: 1.0290, decode.d0.loss_cls: 2.9810, decode.d0.loss_mask: 0.8043, decode.d0.loss_dice: 1.1939, decode.d1.loss_cls: 1.0400, decode.d1.loss_mask: 0.7909, decode.d1.loss_dice: 1.0980, decode.d2.loss_cls: 0.8702, decode.d2.loss_mask: 0.7695, decode.d2.loss_dice: 1.0545, decode.d3.loss_cls: 0.8049, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.0394, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7595, decode.d4.loss_dice: 1.0452, decode.d5.loss_cls: 0.7499, decode.d5.loss_mask: 0.7596, decode.d5.loss_dice: 1.0341, decode.d6.loss_cls: 0.7465, decode.d6.loss_mask: 0.7581, decode.d6.loss_dice: 1.0299, decode.d7.loss_cls: 0.7301, decode.d7.loss_mask: 0.7569, decode.d7.loss_dice: 1.0286, decode.d8.loss_cls: 0.7258, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.0265, loss: 28.3953 2022-06-21 19:03:22,170 - mmseg - INFO - Iter [34850/40000] lr: 1.983e-06, eta: 0:46:38, time: 0.566, data_time: 0.059, memory: 40943, decode.loss_cls: 0.7396, decode.loss_mask: 0.7621, decode.loss_dice: 1.0492, decode.d0.loss_cls: 2.9866, decode.d0.loss_mask: 0.8103, decode.d0.loss_dice: 1.2117, decode.d1.loss_cls: 1.0587, decode.d1.loss_mask: 0.7879, decode.d1.loss_dice: 1.1175, decode.d2.loss_cls: 0.8792, decode.d2.loss_mask: 0.7696, decode.d2.loss_dice: 1.0702, decode.d3.loss_cls: 0.8140, decode.d3.loss_mask: 0.7617, decode.d3.loss_dice: 1.0549, decode.d4.loss_cls: 0.7852, decode.d4.loss_mask: 0.7646, decode.d4.loss_dice: 1.0554, decode.d5.loss_cls: 0.7709, decode.d5.loss_mask: 0.7604, decode.d5.loss_dice: 1.0542, decode.d6.loss_cls: 0.7618, decode.d6.loss_mask: 0.7557, decode.d6.loss_dice: 1.0466, decode.d7.loss_cls: 0.7512, decode.d7.loss_mask: 0.7573, decode.d7.loss_dice: 1.0516, decode.d8.loss_cls: 0.7420, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.0496, loss: 28.7381 2022-06-21 19:03:47,291 - mmseg - INFO - Iter [34900/40000] lr: 1.964e-06, eta: 0:46:11, time: 0.502, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7420, decode.loss_mask: 0.7663, decode.loss_dice: 1.0926, decode.d0.loss_cls: 2.9976, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.2454, decode.d1.loss_cls: 1.0712, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.1606, decode.d2.loss_cls: 0.8817, decode.d2.loss_mask: 0.7836, decode.d2.loss_dice: 1.1134, decode.d3.loss_cls: 0.8259, decode.d3.loss_mask: 0.7748, decode.d3.loss_dice: 1.0937, decode.d4.loss_cls: 0.8058, decode.d4.loss_mask: 0.7722, decode.d4.loss_dice: 1.0894, decode.d5.loss_cls: 0.7808, decode.d5.loss_mask: 0.7697, decode.d5.loss_dice: 1.0904, decode.d6.loss_cls: 0.7600, decode.d6.loss_mask: 0.7694, decode.d6.loss_dice: 1.0871, decode.d7.loss_cls: 0.7544, decode.d7.loss_mask: 0.7631, decode.d7.loss_dice: 1.0884, decode.d8.loss_cls: 0.7519, decode.d8.loss_mask: 0.7647, decode.d8.loss_dice: 1.0866, loss: 29.2989 2022-06-21 19:04:12,474 - mmseg - INFO - Iter [34950/40000] lr: 1.945e-06, eta: 0:45:43, time: 0.504, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7504, decode.loss_mask: 0.7329, decode.loss_dice: 1.0662, decode.d0.loss_cls: 3.0427, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.2461, decode.d1.loss_cls: 1.0966, decode.d1.loss_mask: 0.7634, decode.d1.loss_dice: 1.1357, decode.d2.loss_cls: 0.9082, decode.d2.loss_mask: 0.7474, decode.d2.loss_dice: 1.0900, decode.d3.loss_cls: 0.8389, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.0731, decode.d4.loss_cls: 0.8121, decode.d4.loss_mask: 0.7387, decode.d4.loss_dice: 1.0738, decode.d5.loss_cls: 0.7971, decode.d5.loss_mask: 0.7352, decode.d5.loss_dice: 1.0649, decode.d6.loss_cls: 0.7759, decode.d6.loss_mask: 0.7389, decode.d6.loss_dice: 1.0687, decode.d7.loss_cls: 0.7682, decode.d7.loss_mask: 0.7321, decode.d7.loss_dice: 1.0625, decode.d8.loss_cls: 0.7548, decode.d8.loss_mask: 0.7344, decode.d8.loss_dice: 1.0634, loss: 28.9449 2022-06-21 19:04:37,265 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-06-21 19:04:43,855 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:04:43,855 - mmseg - INFO - Iter [35000/40000] lr: 1.925e-06, eta: 0:45:17, time: 0.627, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7489, decode.loss_mask: 0.7842, decode.loss_dice: 1.0530, decode.d0.loss_cls: 2.9673, decode.d0.loss_mask: 0.8219, decode.d0.loss_dice: 1.2145, decode.d1.loss_cls: 1.0823, decode.d1.loss_mask: 0.8024, decode.d1.loss_dice: 1.1190, decode.d2.loss_cls: 0.8947, decode.d2.loss_mask: 0.7927, decode.d2.loss_dice: 1.0818, decode.d3.loss_cls: 0.8344, decode.d3.loss_mask: 0.7856, decode.d3.loss_dice: 1.0641, decode.d4.loss_cls: 0.8042, decode.d4.loss_mask: 0.7897, decode.d4.loss_dice: 1.0622, decode.d5.loss_cls: 0.7872, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.0558, decode.d6.loss_cls: 0.7710, decode.d6.loss_mask: 0.7851, decode.d6.loss_dice: 1.0552, decode.d7.loss_cls: 0.7559, decode.d7.loss_mask: 0.7845, decode.d7.loss_dice: 1.0562, decode.d8.loss_cls: 0.7535, decode.d8.loss_mask: 0.7841, decode.d8.loss_dice: 1.0535, loss: 29.1283 2022-06-21 19:05:08,960 - mmseg - INFO - Iter [35050/40000] lr: 1.906e-06, eta: 0:44:49, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7817, decode.loss_mask: 0.7546, decode.loss_dice: 1.0746, decode.d0.loss_cls: 2.9822, decode.d0.loss_mask: 0.8005, decode.d0.loss_dice: 1.2394, decode.d1.loss_cls: 1.1166, decode.d1.loss_mask: 0.7820, decode.d1.loss_dice: 1.1358, decode.d2.loss_cls: 0.9408, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.0991, decode.d3.loss_cls: 0.8686, decode.d3.loss_mask: 0.7634, decode.d3.loss_dice: 1.0832, decode.d4.loss_cls: 0.8318, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.0876, decode.d5.loss_cls: 0.8165, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.0801, decode.d6.loss_cls: 0.8042, decode.d6.loss_mask: 0.7547, decode.d6.loss_dice: 1.0729, decode.d7.loss_cls: 0.7894, decode.d7.loss_mask: 0.7555, decode.d7.loss_dice: 1.0784, decode.d8.loss_cls: 0.7832, decode.d8.loss_mask: 0.7535, decode.d8.loss_dice: 1.0783, loss: 29.3909 2022-06-21 19:05:33,890 - mmseg - INFO - Iter [35100/40000] lr: 1.887e-06, eta: 0:44:22, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7595, decode.loss_mask: 0.7433, decode.loss_dice: 1.0615, decode.d0.loss_cls: 2.9969, decode.d0.loss_mask: 0.7964, decode.d0.loss_dice: 1.2401, decode.d1.loss_cls: 1.0940, decode.d1.loss_mask: 0.7753, decode.d1.loss_dice: 1.1301, decode.d2.loss_cls: 0.9183, decode.d2.loss_mask: 0.7584, decode.d2.loss_dice: 1.0924, decode.d3.loss_cls: 0.8515, decode.d3.loss_mask: 0.7503, decode.d3.loss_dice: 1.0713, decode.d4.loss_cls: 0.8163, decode.d4.loss_mask: 0.7497, decode.d4.loss_dice: 1.0764, decode.d5.loss_cls: 0.7995, decode.d5.loss_mask: 0.7472, decode.d5.loss_dice: 1.0674, decode.d6.loss_cls: 0.7778, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.0618, decode.d7.loss_cls: 0.7715, decode.d7.loss_mask: 0.7461, decode.d7.loss_dice: 1.0656, decode.d8.loss_cls: 0.7623, decode.d8.loss_mask: 0.7459, decode.d8.loss_dice: 1.0623, loss: 29.0347 2022-06-21 19:05:59,388 - mmseg - INFO - Iter [35150/40000] lr: 1.868e-06, eta: 0:43:54, time: 0.510, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7010, decode.loss_mask: 0.7442, decode.loss_dice: 1.0319, decode.d0.loss_cls: 2.9251, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.1963, decode.d1.loss_cls: 1.0336, decode.d1.loss_mask: 0.7766, decode.d1.loss_dice: 1.1027, decode.d2.loss_cls: 0.8668, decode.d2.loss_mask: 0.7580, decode.d2.loss_dice: 1.0579, decode.d3.loss_cls: 0.7913, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.0471, decode.d4.loss_cls: 0.7558, decode.d4.loss_mask: 0.7536, decode.d4.loss_dice: 1.0461, decode.d5.loss_cls: 0.7293, decode.d5.loss_mask: 0.7500, decode.d5.loss_dice: 1.0363, decode.d6.loss_cls: 0.7198, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.0341, decode.d7.loss_cls: 0.7135, decode.d7.loss_mask: 0.7484, decode.d7.loss_dice: 1.0362, decode.d8.loss_cls: 0.7109, decode.d8.loss_mask: 0.7470, decode.d8.loss_dice: 1.0311, loss: 28.1452 2022-06-21 19:06:24,440 - mmseg - INFO - Iter [35200/40000] lr: 1.848e-06, eta: 0:43:27, time: 0.502, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7901, decode.loss_mask: 0.7758, decode.loss_dice: 1.1022, decode.d0.loss_cls: 3.0686, decode.d0.loss_mask: 0.8349, decode.d0.loss_dice: 1.2848, decode.d1.loss_cls: 1.1365, decode.d1.loss_mask: 0.8068, decode.d1.loss_dice: 1.1807, decode.d2.loss_cls: 0.9375, decode.d2.loss_mask: 0.7890, decode.d2.loss_dice: 1.1365, decode.d3.loss_cls: 0.8607, decode.d3.loss_mask: 0.7867, decode.d3.loss_dice: 1.1207, decode.d4.loss_cls: 0.8412, decode.d4.loss_mask: 0.7830, decode.d4.loss_dice: 1.1123, decode.d5.loss_cls: 0.8118, decode.d5.loss_mask: 0.7835, decode.d5.loss_dice: 1.1157, decode.d6.loss_cls: 0.7943, decode.d6.loss_mask: 0.7813, decode.d6.loss_dice: 1.1068, decode.d7.loss_cls: 0.7824, decode.d7.loss_mask: 0.7774, decode.d7.loss_dice: 1.1088, decode.d8.loss_cls: 0.7853, decode.d8.loss_mask: 0.7784, decode.d8.loss_dice: 1.1071, loss: 30.0808 2022-06-21 19:06:49,341 - mmseg - INFO - Iter [35250/40000] lr: 1.829e-06, eta: 0:42:59, time: 0.498, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7331, decode.loss_mask: 0.7492, decode.loss_dice: 1.0698, decode.d0.loss_cls: 3.0227, decode.d0.loss_mask: 0.7910, decode.d0.loss_dice: 1.2332, decode.d1.loss_cls: 1.0682, decode.d1.loss_mask: 0.7754, decode.d1.loss_dice: 1.1417, decode.d2.loss_cls: 0.8856, decode.d2.loss_mask: 0.7565, decode.d2.loss_dice: 1.0944, decode.d3.loss_cls: 0.8112, decode.d3.loss_mask: 0.7490, decode.d3.loss_dice: 1.0814, decode.d4.loss_cls: 0.7920, decode.d4.loss_mask: 0.7440, decode.d4.loss_dice: 1.0746, decode.d5.loss_cls: 0.7725, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.0728, decode.d6.loss_cls: 0.7621, decode.d6.loss_mask: 0.7455, decode.d6.loss_dice: 1.0652, decode.d7.loss_cls: 0.7550, decode.d7.loss_mask: 0.7427, decode.d7.loss_dice: 1.0718, decode.d8.loss_cls: 0.7465, decode.d8.loss_mask: 0.7426, decode.d8.loss_dice: 1.0662, loss: 28.8619 2022-06-21 19:07:14,350 - mmseg - INFO - Iter [35300/40000] lr: 1.810e-06, eta: 0:42:32, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7634, decode.loss_mask: 0.7417, decode.loss_dice: 1.0617, decode.d0.loss_cls: 2.9951, decode.d0.loss_mask: 0.7935, decode.d0.loss_dice: 1.2312, decode.d1.loss_cls: 1.0609, decode.d1.loss_mask: 0.7730, decode.d1.loss_dice: 1.1380, decode.d2.loss_cls: 0.9063, decode.d2.loss_mask: 0.7535, decode.d2.loss_dice: 1.0860, decode.d3.loss_cls: 0.8274, decode.d3.loss_mask: 0.7495, decode.d3.loss_dice: 1.0763, decode.d4.loss_cls: 0.7990, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.0776, decode.d5.loss_cls: 0.7869, decode.d5.loss_mask: 0.7446, decode.d5.loss_dice: 1.0748, decode.d6.loss_cls: 0.7732, decode.d6.loss_mask: 0.7468, decode.d6.loss_dice: 1.0651, decode.d7.loss_cls: 0.7637, decode.d7.loss_mask: 0.7439, decode.d7.loss_dice: 1.0705, decode.d8.loss_cls: 0.7605, decode.d8.loss_mask: 0.7458, decode.d8.loss_dice: 1.0669, loss: 28.9257 2022-06-21 19:07:40,642 - mmseg - INFO - Iter [35350/40000] lr: 1.791e-06, eta: 0:42:05, time: 0.526, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7673, decode.loss_mask: 0.7721, decode.loss_dice: 1.0940, decode.d0.loss_cls: 2.9853, decode.d0.loss_mask: 0.8105, decode.d0.loss_dice: 1.2622, decode.d1.loss_cls: 1.0845, decode.d1.loss_mask: 0.7964, decode.d1.loss_dice: 1.1705, decode.d2.loss_cls: 0.9103, decode.d2.loss_mask: 0.7815, decode.d2.loss_dice: 1.1196, decode.d3.loss_cls: 0.8460, decode.d3.loss_mask: 0.7760, decode.d3.loss_dice: 1.1025, decode.d4.loss_cls: 0.8203, decode.d4.loss_mask: 0.7738, decode.d4.loss_dice: 1.1080, decode.d5.loss_cls: 0.7919, decode.d5.loss_mask: 0.7753, decode.d5.loss_dice: 1.1006, decode.d6.loss_cls: 0.7827, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.0985, decode.d7.loss_cls: 0.7769, decode.d7.loss_mask: 0.7748, decode.d7.loss_dice: 1.0986, decode.d8.loss_cls: 0.7720, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.0924, loss: 29.5964 2022-06-21 19:08:06,656 - mmseg - INFO - Iter [35400/40000] lr: 1.771e-06, eta: 0:41:37, time: 0.520, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7397, decode.loss_mask: 0.7487, decode.loss_dice: 1.0465, decode.d0.loss_cls: 2.9522, decode.d0.loss_mask: 0.7965, decode.d0.loss_dice: 1.2072, decode.d1.loss_cls: 1.0555, decode.d1.loss_mask: 0.7772, decode.d1.loss_dice: 1.1108, decode.d2.loss_cls: 0.8815, decode.d2.loss_mask: 0.7602, decode.d2.loss_dice: 1.0649, decode.d3.loss_cls: 0.8091, decode.d3.loss_mask: 0.7585, decode.d3.loss_dice: 1.0536, decode.d4.loss_cls: 0.7846, decode.d4.loss_mask: 0.7530, decode.d4.loss_dice: 1.0549, decode.d5.loss_cls: 0.7703, decode.d5.loss_mask: 0.7498, decode.d5.loss_dice: 1.0485, decode.d6.loss_cls: 0.7503, decode.d6.loss_mask: 0.7507, decode.d6.loss_dice: 1.0462, decode.d7.loss_cls: 0.7461, decode.d7.loss_mask: 0.7500, decode.d7.loss_dice: 1.0471, decode.d8.loss_cls: 0.7458, decode.d8.loss_mask: 0.7483, decode.d8.loss_dice: 1.0421, loss: 28.5502 2022-06-21 19:08:34,368 - mmseg - INFO - Iter [35450/40000] lr: 1.752e-06, eta: 0:41:10, time: 0.554, data_time: 0.059, memory: 40943, decode.loss_cls: 0.7375, decode.loss_mask: 0.7382, decode.loss_dice: 1.0236, decode.d0.loss_cls: 3.0102, decode.d0.loss_mask: 0.7875, decode.d0.loss_dice: 1.1976, decode.d1.loss_cls: 1.0791, decode.d1.loss_mask: 0.7678, decode.d1.loss_dice: 1.0944, decode.d2.loss_cls: 0.8964, decode.d2.loss_mask: 0.7544, decode.d2.loss_dice: 1.0487, decode.d3.loss_cls: 0.8231, decode.d3.loss_mask: 0.7467, decode.d3.loss_dice: 1.0351, decode.d4.loss_cls: 0.7950, decode.d4.loss_mask: 0.7462, decode.d4.loss_dice: 1.0387, decode.d5.loss_cls: 0.7758, decode.d5.loss_mask: 0.7448, decode.d5.loss_dice: 1.0328, decode.d6.loss_cls: 0.7536, decode.d6.loss_mask: 0.7435, decode.d6.loss_dice: 1.0271, decode.d7.loss_cls: 0.7483, decode.d7.loss_mask: 0.7403, decode.d7.loss_dice: 1.0298, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7363, decode.d8.loss_dice: 1.0262, loss: 28.4157 2022-06-21 19:09:01,390 - mmseg - INFO - Iter [35500/40000] lr: 1.733e-06, eta: 0:40:43, time: 0.540, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7549, decode.loss_mask: 0.7600, decode.loss_dice: 1.0678, decode.d0.loss_cls: 3.0503, decode.d0.loss_mask: 0.8147, decode.d0.loss_dice: 1.2440, decode.d1.loss_cls: 1.1042, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.1348, decode.d2.loss_cls: 0.9204, decode.d2.loss_mask: 0.7761, decode.d2.loss_dice: 1.1015, decode.d3.loss_cls: 0.8415, decode.d3.loss_mask: 0.7668, decode.d3.loss_dice: 1.0823, decode.d4.loss_cls: 0.8161, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.0766, decode.d5.loss_cls: 0.7890, decode.d5.loss_mask: 0.7622, decode.d5.loss_dice: 1.0812, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7621, decode.d6.loss_dice: 1.0718, decode.d7.loss_cls: 0.7660, decode.d7.loss_mask: 0.7613, decode.d7.loss_dice: 1.0732, decode.d8.loss_cls: 0.7647, decode.d8.loss_mask: 0.7585, decode.d8.loss_dice: 1.0730, loss: 29.3061 2022-06-21 19:09:29,823 - mmseg - INFO - Iter [35550/40000] lr: 1.714e-06, eta: 0:40:16, time: 0.569, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7190, decode.loss_mask: 0.7572, decode.loss_dice: 1.0354, decode.d0.loss_cls: 2.9516, decode.d0.loss_mask: 0.8051, decode.d0.loss_dice: 1.1982, decode.d1.loss_cls: 1.0393, decode.d1.loss_mask: 0.7950, decode.d1.loss_dice: 1.1047, decode.d2.loss_cls: 0.8631, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.0616, decode.d3.loss_cls: 0.7989, decode.d3.loss_mask: 0.7595, decode.d3.loss_dice: 1.0483, decode.d4.loss_cls: 0.7660, decode.d4.loss_mask: 0.7539, decode.d4.loss_dice: 1.0503, decode.d5.loss_cls: 0.7504, decode.d5.loss_mask: 0.7565, decode.d5.loss_dice: 1.0461, decode.d6.loss_cls: 0.7356, decode.d6.loss_mask: 0.7543, decode.d6.loss_dice: 1.0390, decode.d7.loss_cls: 0.7278, decode.d7.loss_mask: 0.7558, decode.d7.loss_dice: 1.0407, decode.d8.loss_cls: 0.7208, decode.d8.loss_mask: 0.7562, decode.d8.loss_dice: 1.0376, loss: 28.3974 2022-06-21 19:09:56,725 - mmseg - INFO - Iter [35600/40000] lr: 1.694e-06, eta: 0:39:49, time: 0.538, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7497, decode.loss_mask: 0.7711, decode.loss_dice: 1.0793, decode.d0.loss_cls: 2.9960, decode.d0.loss_mask: 0.8239, decode.d0.loss_dice: 1.2463, decode.d1.loss_cls: 1.0702, decode.d1.loss_mask: 0.8057, decode.d1.loss_dice: 1.1482, decode.d2.loss_cls: 0.9006, decode.d2.loss_mask: 0.7834, decode.d2.loss_dice: 1.1031, decode.d3.loss_cls: 0.8331, decode.d3.loss_mask: 0.7814, decode.d3.loss_dice: 1.0860, decode.d4.loss_cls: 0.8073, decode.d4.loss_mask: 0.7795, decode.d4.loss_dice: 1.0862, decode.d5.loss_cls: 0.7796, decode.d5.loss_mask: 0.7779, decode.d5.loss_dice: 1.0820, decode.d6.loss_cls: 0.7684, decode.d6.loss_mask: 0.7738, decode.d6.loss_dice: 1.0766, decode.d7.loss_cls: 0.7521, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.0789, decode.d8.loss_cls: 0.7488, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.0794, loss: 29.3184 2022-06-21 19:10:23,029 - mmseg - INFO - Iter [35650/40000] lr: 1.675e-06, eta: 0:39:22, time: 0.525, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6978, decode.loss_mask: 0.7326, decode.loss_dice: 1.0231, decode.d0.loss_cls: 2.9081, decode.d0.loss_mask: 0.7952, decode.d0.loss_dice: 1.1848, decode.d1.loss_cls: 1.0119, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.0870, decode.d2.loss_cls: 0.8433, decode.d2.loss_mask: 0.7464, decode.d2.loss_dice: 1.0450, decode.d3.loss_cls: 0.7768, decode.d3.loss_mask: 0.7417, decode.d3.loss_dice: 1.0311, decode.d4.loss_cls: 0.7504, decode.d4.loss_mask: 0.7351, decode.d4.loss_dice: 1.0300, decode.d5.loss_cls: 0.7278, decode.d5.loss_mask: 0.7416, decode.d5.loss_dice: 1.0300, decode.d6.loss_cls: 0.7117, decode.d6.loss_mask: 0.7364, decode.d6.loss_dice: 1.0197, decode.d7.loss_cls: 0.7018, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.0265, decode.d8.loss_cls: 0.7008, decode.d8.loss_mask: 0.7340, decode.d8.loss_dice: 1.0180, loss: 27.7916 2022-06-21 19:10:50,148 - mmseg - INFO - Iter [35700/40000] lr: 1.656e-06, eta: 0:38:54, time: 0.543, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7620, decode.loss_mask: 0.7378, decode.loss_dice: 1.0878, decode.d0.loss_cls: 2.9802, decode.d0.loss_mask: 0.7803, decode.d0.loss_dice: 1.2574, decode.d1.loss_cls: 1.0690, decode.d1.loss_mask: 0.7689, decode.d1.loss_dice: 1.1629, decode.d2.loss_cls: 0.9100, decode.d2.loss_mask: 0.7492, decode.d2.loss_dice: 1.1142, decode.d3.loss_cls: 0.8481, decode.d3.loss_mask: 0.7445, decode.d3.loss_dice: 1.0947, decode.d4.loss_cls: 0.8150, decode.d4.loss_mask: 0.7412, decode.d4.loss_dice: 1.0999, decode.d5.loss_cls: 0.7923, decode.d5.loss_mask: 0.7385, decode.d5.loss_dice: 1.0963, decode.d6.loss_cls: 0.7818, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.0869, decode.d7.loss_cls: 0.7665, decode.d7.loss_mask: 0.7363, decode.d7.loss_dice: 1.0907, decode.d8.loss_cls: 0.7584, decode.d8.loss_mask: 0.7372, decode.d8.loss_dice: 1.0895, loss: 29.1327 2022-06-21 19:11:18,645 - mmseg - INFO - Iter [35750/40000] lr: 1.637e-06, eta: 0:38:28, time: 0.570, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7451, decode.loss_mask: 0.7546, decode.loss_dice: 1.0549, decode.d0.loss_cls: 3.0498, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.2290, decode.d1.loss_cls: 1.1105, decode.d1.loss_mask: 0.7846, decode.d1.loss_dice: 1.1324, decode.d2.loss_cls: 0.9063, decode.d2.loss_mask: 0.7640, decode.d2.loss_dice: 1.0868, decode.d3.loss_cls: 0.8311, decode.d3.loss_mask: 0.7627, decode.d3.loss_dice: 1.0736, decode.d4.loss_cls: 0.8086, decode.d4.loss_mask: 0.7579, decode.d4.loss_dice: 1.0693, decode.d5.loss_cls: 0.7855, decode.d5.loss_mask: 0.7559, decode.d5.loss_dice: 1.0634, decode.d6.loss_cls: 0.7675, decode.d6.loss_mask: 0.7540, decode.d6.loss_dice: 1.0539, decode.d7.loss_cls: 0.7535, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.0588, decode.d8.loss_cls: 0.7526, decode.d8.loss_mask: 0.7524, decode.d8.loss_dice: 1.0564, loss: 29.0410 2022-06-21 19:11:46,377 - mmseg - INFO - Iter [35800/40000] lr: 1.617e-06, eta: 0:38:00, time: 0.555, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7669, decode.loss_mask: 0.7529, decode.loss_dice: 1.0913, decode.d0.loss_cls: 3.0160, decode.d0.loss_mask: 0.8029, decode.d0.loss_dice: 1.2708, decode.d1.loss_cls: 1.0883, decode.d1.loss_mask: 0.7830, decode.d1.loss_dice: 1.1717, decode.d2.loss_cls: 0.9182, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1286, decode.d3.loss_cls: 0.8408, decode.d3.loss_mask: 0.7635, decode.d3.loss_dice: 1.1084, decode.d4.loss_cls: 0.8084, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.1075, decode.d5.loss_cls: 0.7873, decode.d5.loss_mask: 0.7582, decode.d5.loss_dice: 1.1011, decode.d6.loss_cls: 0.7804, decode.d6.loss_mask: 0.7560, decode.d6.loss_dice: 1.0974, decode.d7.loss_cls: 0.7640, decode.d7.loss_mask: 0.7521, decode.d7.loss_dice: 1.0939, decode.d8.loss_cls: 0.7646, decode.d8.loss_mask: 0.7551, decode.d8.loss_dice: 1.0922, loss: 29.4521 2022-06-21 19:12:14,457 - mmseg - INFO - Iter [35850/40000] lr: 1.598e-06, eta: 0:37:33, time: 0.561, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7364, decode.loss_mask: 0.7570, decode.loss_dice: 1.0555, decode.d0.loss_cls: 2.9371, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.2181, decode.d1.loss_cls: 1.0612, decode.d1.loss_mask: 0.7873, decode.d1.loss_dice: 1.1174, decode.d2.loss_cls: 0.8843, decode.d2.loss_mask: 0.7650, decode.d2.loss_dice: 1.0773, decode.d3.loss_cls: 0.8204, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.0663, decode.d4.loss_cls: 0.7959, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.0647, decode.d5.loss_cls: 0.7702, decode.d5.loss_mask: 0.7600, decode.d5.loss_dice: 1.0640, decode.d6.loss_cls: 0.7609, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.0586, decode.d7.loss_cls: 0.7438, decode.d7.loss_mask: 0.7580, decode.d7.loss_dice: 1.0599, decode.d8.loss_cls: 0.7403, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.0555, loss: 28.7633 2022-06-21 19:12:42,566 - mmseg - INFO - Iter [35900/40000] lr: 1.579e-06, eta: 0:37:06, time: 0.562, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7358, decode.loss_mask: 0.7587, decode.loss_dice: 1.0425, decode.d0.loss_cls: 2.9683, decode.d0.loss_mask: 0.8123, decode.d0.loss_dice: 1.2013, decode.d1.loss_cls: 1.0603, decode.d1.loss_mask: 0.7931, decode.d1.loss_dice: 1.1093, decode.d2.loss_cls: 0.8907, decode.d2.loss_mask: 0.7724, decode.d2.loss_dice: 1.0633, decode.d3.loss_cls: 0.8216, decode.d3.loss_mask: 0.7670, decode.d3.loss_dice: 1.0534, decode.d4.loss_cls: 0.7913, decode.d4.loss_mask: 0.7637, decode.d4.loss_dice: 1.0538, decode.d5.loss_cls: 0.7730, decode.d5.loss_mask: 0.7599, decode.d5.loss_dice: 1.0524, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.7643, decode.d6.loss_dice: 1.0467, decode.d7.loss_cls: 0.7418, decode.d7.loss_mask: 0.7611, decode.d7.loss_dice: 1.0461, decode.d8.loss_cls: 0.7463, decode.d8.loss_mask: 0.7612, decode.d8.loss_dice: 1.0406, loss: 28.6987 2022-06-21 19:13:10,795 - mmseg - INFO - Iter [35950/40000] lr: 1.560e-06, eta: 0:36:39, time: 0.565, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7498, decode.loss_mask: 0.7303, decode.loss_dice: 1.0723, decode.d0.loss_cls: 3.0381, decode.d0.loss_mask: 0.7786, decode.d0.loss_dice: 1.2627, decode.d1.loss_cls: 1.0984, decode.d1.loss_mask: 0.7560, decode.d1.loss_dice: 1.1476, decode.d2.loss_cls: 0.9206, decode.d2.loss_mask: 0.7425, decode.d2.loss_dice: 1.0993, decode.d3.loss_cls: 0.8423, decode.d3.loss_mask: 0.7388, decode.d3.loss_dice: 1.0832, decode.d4.loss_cls: 0.8128, decode.d4.loss_mask: 0.7362, decode.d4.loss_dice: 1.0869, decode.d5.loss_cls: 0.7876, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.0830, decode.d6.loss_cls: 0.7682, decode.d6.loss_mask: 0.7346, decode.d6.loss_dice: 1.0738, decode.d7.loss_cls: 0.7604, decode.d7.loss_mask: 0.7289, decode.d7.loss_dice: 1.0779, decode.d8.loss_cls: 0.7482, decode.d8.loss_mask: 0.7312, decode.d8.loss_dice: 1.0766, loss: 29.0040 2022-06-21 19:13:42,868 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-06-21 19:13:49,219 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:13:49,219 - mmseg - INFO - Iter [36000/40000] lr: 1.540e-06, eta: 0:36:13, time: 0.769, data_time: 0.058, memory: 40943, decode.loss_cls: 0.7847, decode.loss_mask: 0.7746, decode.loss_dice: 1.1030, decode.d0.loss_cls: 3.0352, decode.d0.loss_mask: 0.8240, decode.d0.loss_dice: 1.2641, decode.d1.loss_cls: 1.1098, decode.d1.loss_mask: 0.8095, decode.d1.loss_dice: 1.1670, decode.d2.loss_cls: 0.9436, decode.d2.loss_mask: 0.7883, decode.d2.loss_dice: 1.1199, decode.d3.loss_cls: 0.8702, decode.d3.loss_mask: 0.7820, decode.d3.loss_dice: 1.1083, decode.d4.loss_cls: 0.8433, decode.d4.loss_mask: 0.7834, decode.d4.loss_dice: 1.1059, decode.d5.loss_cls: 0.8190, decode.d5.loss_mask: 0.7797, decode.d5.loss_dice: 1.1027, decode.d6.loss_cls: 0.8061, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.1043, decode.d7.loss_cls: 0.7939, decode.d7.loss_mask: 0.7774, decode.d7.loss_dice: 1.0973, decode.d8.loss_cls: 0.7917, decode.d8.loss_mask: 0.7740, decode.d8.loss_dice: 1.0990, loss: 29.9431 2022-06-21 19:14:09,413 - mmseg - INFO - per class results: 2022-06-21 19:14:09,426 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.75 | 94.17 | | bicycle | 71.8 | 88.66 | | car | 60.51 | 69.89 | | motorcycle | 82.11 | 88.96 | | airplane | 83.78 | 95.17 | | bus | 83.01 | 91.05 | | train | 79.12 | 95.7 | | truck | 74.29 | 86.83 | | boat | 78.73 | 85.46 | | traffic light | 75.72 | 93.25 | | fire hydrant | 93.15 | 97.56 | | stop sign | 94.89 | 97.16 | | parking meter | 87.34 | 92.47 | | bench | 45.69 | 68.41 | | bird | 71.97 | 83.0 | | cat | 92.16 | 95.36 | | dog | 89.37 | 94.87 | | horse | 91.43 | 95.82 | | sheep | 85.58 | 91.54 | | cow | 95.59 | 97.95 | | elephant | 92.57 | 96.4 | | bear | 92.46 | 94.72 | | zebra | 92.22 | 95.78 | | giraffe | 87.77 | 93.27 | | backpack | 24.67 | 55.03 | | umbrella | 79.87 | 85.92 | | handbag | 17.8 | 33.71 | | tie | 0.13 | 0.13 | | suitcase | 78.32 | 89.85 | | frisbee | 50.98 | 52.74 | | skis | 33.75 | 51.74 | | snowboard | 60.65 | 77.97 | | sports ball | 73.69 | 94.15 | | kite | 81.3 | 86.47 | | baseball bat | 54.96 | 73.8 | | baseball glove | 1.23 | 1.28 | | skateboard | 66.67 | 83.8 | | surfboard | 89.14 | 95.02 | | tennis racket | 80.47 | 85.98 | | bottle | 57.72 | 71.85 | | wine glass | 83.85 | 93.72 | | cup | 54.75 | 73.36 | | fork | 36.2 | 50.07 | | knife | 71.84 | 85.95 | | spoon | 41.43 | 63.94 | | bowl | 47.13 | 65.89 | | banana | 69.4 | 74.13 | | apple | 70.49 | 85.44 | | sandwich | 86.09 | 95.6 | | orange | 42.99 | 56.31 | | broccoli | 91.42 | 97.6 | | carrot | 49.39 | 67.12 | | hot dog | 52.37 | 94.68 | | pizza | 93.34 | 94.93 | | donut | 72.18 | 86.76 | | cake | 70.07 | 79.01 | | chair | 57.17 | 76.15 | | couch | 67.31 | 85.5 | | potted plant | 29.48 | 38.11 | | bed | 70.98 | 81.83 | | dining table | 57.06 | 77.73 | | toilet | 85.17 | 93.4 | | tv | 82.2 | 92.67 | | laptop | 84.3 | 93.96 | | mouse | 79.89 | 85.76 | | remote | 71.13 | 90.91 | | keyboard | 86.88 | 96.84 | | cell phone | 80.28 | 91.93 | | microwave | 68.05 | 72.21 | | oven | 62.73 | 80.76 | | toaster | 0.0 | 0.0 | | sink | 61.18 | 74.29 | | refrigerator | 75.8 | 88.28 | | book | 69.17 | 79.03 | | clock | 76.11 | 82.02 | | vase | 60.4 | 91.79 | | scissors | 54.97 | 92.42 | | teddy bear | 86.11 | 92.01 | | hair drier | 0.0 | 0.0 | | toothbrush | 17.98 | 28.35 | | banner | 28.19 | 52.54 | | blanket | 16.97 | 17.28 | | branch | 38.05 | 39.7 | | bridge | 5.69 | 9.83 | | building-other | 54.91 | 74.49 | | bush | 41.11 | 57.33 | | cabinet | 27.88 | 58.77 | | cage | 32.98 | 41.5 | | cardboard | 22.36 | 29.97 | | carpet | 61.94 | 69.83 | | ceiling-other | 67.1 | 80.13 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 21.82 | 30.72 | | clouds | 49.81 | 63.64 | | counter | 28.93 | 33.68 | | cupboard | 58.22 | 68.09 | | curtain | 61.52 | 81.47 | | desk-stuff | 25.53 | 30.98 | | dirt | 40.44 | 68.27 | | door-stuff | 43.52 | 59.52 | | fence | 45.45 | 69.42 | | floor-marble | 0.0 | 0.0 | | floor-other | 38.11 | 60.16 | | floor-stone | 21.15 | 23.89 | | floor-tile | 56.96 | 65.29 | | floor-wood | 69.02 | 76.84 | | flower | 17.14 | 49.05 | | fog | 4.12 | 4.12 | | food-other | 35.35 | 62.49 | | fruit | 10.01 | 12.05 | | furniture-other | 18.7 | 29.82 | | grass | 75.65 | 85.27 | | gravel | 29.3 | 31.55 | | ground-other | 8.55 | 18.8 | | hill | 22.06 | 33.25 | | house | 32.2 | 46.8 | | leaves | 19.15 | 27.08 | | light | 40.16 | 54.04 | | mat | 14.49 | 23.72 | | metal | 18.49 | 31.01 | | mirror-stuff | 27.11 | 41.92 | | moss | 0.0 | 0.0 | | mountain | 24.86 | 42.61 | | mud | 0.0 | 0.0 | | napkin | 45.3 | 63.19 | | net | 39.7 | 47.49 | | paper | 42.37 | 75.67 | | pavement | 40.53 | 57.43 | | pillow | 0.0 | 0.0 | | plant-other | 34.33 | 50.9 | | plastic | 15.66 | 22.86 | | platform | 32.21 | 53.21 | | playingfield | 70.33 | 81.27 | | railing | 20.28 | 34.86 | | railroad | 61.84 | 85.34 | | river | 28.72 | 36.86 | | road | 71.69 | 81.17 | | rock | 49.06 | 70.51 | | roof | 32.14 | 64.17 | | rug | 48.66 | 57.97 | | salad | 25.39 | 26.16 | | sand | 73.91 | 87.1 | | sea | 74.78 | 89.99 | | shelf | 21.03 | 40.18 | | sky-other | 60.82 | 78.34 | | skyscraper | 21.52 | 26.19 | | snow | 92.38 | 94.27 | | solid-other | nan | nan | | stairs | 24.35 | 37.44 | | stone | 9.24 | 18.66 | | straw | 16.27 | 33.36 | | structural-other | 14.6 | 23.62 | | table | 12.64 | 20.16 | | tent | 34.65 | 50.39 | | textile-other | 21.42 | 33.19 | | towel | 30.33 | 42.77 | | tree | 79.11 | 88.55 | | vegetable | 30.33 | 50.44 | | wall-brick | 40.17 | 61.6 | | wall-concrete | 28.19 | 35.7 | | wall-other | 63.35 | 80.98 | | wall-panel | 0.0 | 0.0 | | wall-stone | 22.44 | 26.62 | | wall-tile | 54.07 | 79.3 | | wall-wood | 42.83 | 63.4 | | water-other | 35.61 | 49.91 | | waterdrops | nan | nan | | window-blind | 33.87 | 74.0 | | window-other | 46.77 | 58.37 | | wood | 12.3 | 31.14 | +------------------+-------+-------+ 2022-06-21 19:14:09,428 - mmseg - INFO - Summary: 2022-06-21 19:14:09,428 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 74.61 | 49.51 | 61.63 | +-------+-------+-------+ 2022-06-21 19:14:09,450 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_32000.pth was removed 2022-06-21 19:14:15,531 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_36000.pth. 2022-06-21 19:14:15,531 - mmseg - INFO - Best mIoU is 0.4951 at 36000 iter. 2022-06-21 19:14:15,536 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:14:15,540 - mmseg - INFO - Iter(val) [125] aAcc: 0.7461, mIoU: 0.4951, mAcc: 0.6163, IoU.person: 0.8775, IoU.bicycle: 0.7180, IoU.car: 0.6051, IoU.motorcycle: 0.8211, IoU.airplane: 0.8378, IoU.bus: 0.8301, IoU.train: 0.7912, IoU.truck: 0.7429, IoU.boat: 0.7873, IoU.traffic light: 0.7572, IoU.fire hydrant: 0.9315, IoU.stop sign: 0.9489, IoU.parking meter: 0.8734, IoU.bench: 0.4569, IoU.bird: 0.7197, IoU.cat: 0.9216, IoU.dog: 0.8937, IoU.horse: 0.9143, IoU.sheep: 0.8558, IoU.cow: 0.9559, IoU.elephant: 0.9257, IoU.bear: 0.9246, IoU.zebra: 0.9222, IoU.giraffe: 0.8777, IoU.backpack: 0.2467, IoU.umbrella: 0.7987, IoU.handbag: 0.1780, IoU.tie: 0.0013, IoU.suitcase: 0.7832, IoU.frisbee: 0.5098, IoU.skis: 0.3375, IoU.snowboard: 0.6065, IoU.sports ball: 0.7369, IoU.kite: 0.8130, IoU.baseball bat: 0.5496, IoU.baseball glove: 0.0123, IoU.skateboard: 0.6667, IoU.surfboard: 0.8914, IoU.tennis racket: 0.8047, IoU.bottle: 0.5772, IoU.wine glass: 0.8385, IoU.cup: 0.5475, IoU.fork: 0.3620, IoU.knife: 0.7184, IoU.spoon: 0.4143, IoU.bowl: 0.4713, IoU.banana: 0.6940, IoU.apple: 0.7049, IoU.sandwich: 0.8609, IoU.orange: 0.4299, IoU.broccoli: 0.9142, IoU.carrot: 0.4939, IoU.hot dog: 0.5237, IoU.pizza: 0.9334, IoU.donut: 0.7218, IoU.cake: 0.7007, IoU.chair: 0.5717, IoU.couch: 0.6731, IoU.potted plant: 0.2948, IoU.bed: 0.7098, IoU.dining table: 0.5706, IoU.toilet: 0.8517, IoU.tv: 0.8220, IoU.laptop: 0.8430, IoU.mouse: 0.7989, IoU.remote: 0.7113, IoU.keyboard: 0.8688, IoU.cell phone: 0.8028, IoU.microwave: 0.6805, IoU.oven: 0.6273, IoU.toaster: 0.0000, IoU.sink: 0.6118, IoU.refrigerator: 0.7580, IoU.book: 0.6917, IoU.clock: 0.7611, IoU.vase: 0.6040, IoU.scissors: 0.5497, IoU.teddy bear: 0.8611, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1798, IoU.banner: 0.2819, IoU.blanket: 0.1697, IoU.branch: 0.3805, IoU.bridge: 0.0569, IoU.building-other: 0.5491, IoU.bush: 0.4111, IoU.cabinet: 0.2788, IoU.cage: 0.3298, IoU.cardboard: 0.2236, IoU.carpet: 0.6194, IoU.ceiling-other: 0.6710, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2182, IoU.clouds: 0.4981, IoU.counter: 0.2893, IoU.cupboard: 0.5822, IoU.curtain: 0.6152, IoU.desk-stuff: 0.2553, IoU.dirt: 0.4044, IoU.door-stuff: 0.4352, IoU.fence: 0.4545, IoU.floor-marble: 0.0000, IoU.floor-other: 0.3811, IoU.floor-stone: 0.2115, IoU.floor-tile: 0.5696, IoU.floor-wood: 0.6902, IoU.flower: 0.1714, IoU.fog: 0.0412, IoU.food-other: 0.3535, IoU.fruit: 0.1001, IoU.furniture-other: 0.1870, IoU.grass: 0.7565, IoU.gravel: 0.2930, IoU.ground-other: 0.0855, IoU.hill: 0.2206, IoU.house: 0.3220, IoU.leaves: 0.1915, IoU.light: 0.4016, IoU.mat: 0.1449, IoU.metal: 0.1849, IoU.mirror-stuff: 0.2711, IoU.moss: 0.0000, IoU.mountain: 0.2486, IoU.mud: 0.0000, IoU.napkin: 0.4530, IoU.net: 0.3970, IoU.paper: 0.4237, IoU.pavement: 0.4053, IoU.pillow: 0.0000, IoU.plant-other: 0.3433, IoU.plastic: 0.1566, IoU.platform: 0.3221, IoU.playingfield: 0.7033, IoU.railing: 0.2028, IoU.railroad: 0.6184, IoU.river: 0.2872, IoU.road: 0.7169, IoU.rock: 0.4906, IoU.roof: 0.3214, IoU.rug: 0.4866, IoU.salad: 0.2539, IoU.sand: 0.7391, IoU.sea: 0.7478, IoU.shelf: 0.2103, IoU.sky-other: 0.6082, IoU.skyscraper: 0.2152, IoU.snow: 0.9238, IoU.solid-other: nan, IoU.stairs: 0.2435, IoU.stone: 0.0924, IoU.straw: 0.1627, IoU.structural-other: 0.1460, IoU.table: 0.1264, IoU.tent: 0.3465, IoU.textile-other: 0.2142, IoU.towel: 0.3033, IoU.tree: 0.7911, IoU.vegetable: 0.3033, IoU.wall-brick: 0.4017, IoU.wall-concrete: 0.2819, IoU.wall-other: 0.6335, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2244, IoU.wall-tile: 0.5407, IoU.wall-wood: 0.4283, IoU.water-other: 0.3561, IoU.waterdrops: nan, IoU.window-blind: 0.3387, IoU.window-other: 0.4677, IoU.wood: 0.1230, Acc.person: 0.9417, Acc.bicycle: 0.8866, Acc.car: 0.6989, Acc.motorcycle: 0.8896, Acc.airplane: 0.9517, Acc.bus: 0.9105, Acc.train: 0.9570, Acc.truck: 0.8683, Acc.boat: 0.8546, Acc.traffic light: 0.9325, Acc.fire hydrant: 0.9756, Acc.stop sign: 0.9716, Acc.parking meter: 0.9247, Acc.bench: 0.6841, Acc.bird: 0.8300, Acc.cat: 0.9536, Acc.dog: 0.9487, Acc.horse: 0.9582, Acc.sheep: 0.9154, Acc.cow: 0.9795, Acc.elephant: 0.9640, Acc.bear: 0.9472, Acc.zebra: 0.9578, Acc.giraffe: 0.9327, Acc.backpack: 0.5503, Acc.umbrella: 0.8592, Acc.handbag: 0.3371, Acc.tie: 0.0013, Acc.suitcase: 0.8985, Acc.frisbee: 0.5274, Acc.skis: 0.5174, Acc.snowboard: 0.7797, Acc.sports ball: 0.9415, Acc.kite: 0.8647, Acc.baseball bat: 0.7380, Acc.baseball glove: 0.0128, Acc.skateboard: 0.8380, Acc.surfboard: 0.9502, Acc.tennis racket: 0.8598, Acc.bottle: 0.7185, Acc.wine glass: 0.9372, Acc.cup: 0.7336, Acc.fork: 0.5007, Acc.knife: 0.8595, Acc.spoon: 0.6394, Acc.bowl: 0.6589, Acc.banana: 0.7413, Acc.apple: 0.8544, Acc.sandwich: 0.9560, Acc.orange: 0.5631, Acc.broccoli: 0.9760, Acc.carrot: 0.6712, Acc.hot dog: 0.9468, Acc.pizza: 0.9493, Acc.donut: 0.8676, Acc.cake: 0.7901, Acc.chair: 0.7615, Acc.couch: 0.8550, Acc.potted plant: 0.3811, Acc.bed: 0.8183, Acc.dining table: 0.7773, Acc.toilet: 0.9340, Acc.tv: 0.9267, Acc.laptop: 0.9396, Acc.mouse: 0.8576, Acc.remote: 0.9091, Acc.keyboard: 0.9684, Acc.cell phone: 0.9193, Acc.microwave: 0.7221, Acc.oven: 0.8076, Acc.toaster: 0.0000, Acc.sink: 0.7429, Acc.refrigerator: 0.8828, Acc.book: 0.7903, Acc.clock: 0.8202, Acc.vase: 0.9179, Acc.scissors: 0.9242, Acc.teddy bear: 0.9201, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2835, Acc.banner: 0.5254, Acc.blanket: 0.1728, Acc.branch: 0.3970, Acc.bridge: 0.0983, Acc.building-other: 0.7449, Acc.bush: 0.5733, Acc.cabinet: 0.5877, Acc.cage: 0.4150, Acc.cardboard: 0.2997, Acc.carpet: 0.6983, Acc.ceiling-other: 0.8013, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3072, Acc.clouds: 0.6364, Acc.counter: 0.3368, Acc.cupboard: 0.6809, Acc.curtain: 0.8147, Acc.desk-stuff: 0.3098, Acc.dirt: 0.6827, Acc.door-stuff: 0.5952, Acc.fence: 0.6942, Acc.floor-marble: 0.0000, Acc.floor-other: 0.6016, Acc.floor-stone: 0.2389, Acc.floor-tile: 0.6529, Acc.floor-wood: 0.7684, Acc.flower: 0.4905, Acc.fog: 0.0412, Acc.food-other: 0.6249, Acc.fruit: 0.1205, Acc.furniture-other: 0.2982, Acc.grass: 0.8527, Acc.gravel: 0.3155, Acc.ground-other: 0.1880, Acc.hill: 0.3325, Acc.house: 0.4680, Acc.leaves: 0.2708, Acc.light: 0.5404, Acc.mat: 0.2372, Acc.metal: 0.3101, Acc.mirror-stuff: 0.4192, Acc.moss: 0.0000, Acc.mountain: 0.4261, Acc.mud: 0.0000, Acc.napkin: 0.6319, Acc.net: 0.4749, Acc.paper: 0.7567, Acc.pavement: 0.5743, Acc.pillow: 0.0000, Acc.plant-other: 0.5090, Acc.plastic: 0.2286, Acc.platform: 0.5321, Acc.playingfield: 0.8127, Acc.railing: 0.3486, Acc.railroad: 0.8534, Acc.river: 0.3686, Acc.road: 0.8117, Acc.rock: 0.7051, Acc.roof: 0.6417, Acc.rug: 0.5797, Acc.salad: 0.2616, Acc.sand: 0.8710, Acc.sea: 0.8999, Acc.shelf: 0.4018, Acc.sky-other: 0.7834, Acc.skyscraper: 0.2619, Acc.snow: 0.9427, Acc.solid-other: nan, Acc.stairs: 0.3744, Acc.stone: 0.1866, Acc.straw: 0.3336, Acc.structural-other: 0.2362, Acc.table: 0.2016, Acc.tent: 0.5039, Acc.textile-other: 0.3319, Acc.towel: 0.4277, Acc.tree: 0.8855, Acc.vegetable: 0.5044, Acc.wall-brick: 0.6160, Acc.wall-concrete: 0.3570, Acc.wall-other: 0.8098, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2662, Acc.wall-tile: 0.7930, Acc.wall-wood: 0.6340, Acc.water-other: 0.4991, Acc.waterdrops: nan, Acc.window-blind: 0.7400, Acc.window-other: 0.5837, Acc.wood: 0.3114 2022-06-21 19:14:43,908 - mmseg - INFO - Iter [36050/40000] lr: 1.521e-06, eta: 0:35:49, time: 1.094, data_time: 0.535, memory: 40943, decode.loss_cls: 0.7296, decode.loss_mask: 0.7306, decode.loss_dice: 1.0474, decode.d0.loss_cls: 2.9181, decode.d0.loss_mask: 0.7881, decode.d0.loss_dice: 1.2113, decode.d1.loss_cls: 1.0475, decode.d1.loss_mask: 0.7621, decode.d1.loss_dice: 1.1125, decode.d2.loss_cls: 0.8780, decode.d2.loss_mask: 0.7397, decode.d2.loss_dice: 1.0639, decode.d3.loss_cls: 0.8137, decode.d3.loss_mask: 0.7384, decode.d3.loss_dice: 1.0537, decode.d4.loss_cls: 0.7881, decode.d4.loss_mask: 0.7331, decode.d4.loss_dice: 1.0519, decode.d5.loss_cls: 0.7643, decode.d5.loss_mask: 0.7317, decode.d5.loss_dice: 1.0538, decode.d6.loss_cls: 0.7511, decode.d6.loss_mask: 0.7319, decode.d6.loss_dice: 1.0452, decode.d7.loss_cls: 0.7389, decode.d7.loss_mask: 0.7290, decode.d7.loss_dice: 1.0468, decode.d8.loss_cls: 0.7345, decode.d8.loss_mask: 0.7299, decode.d8.loss_dice: 1.0475, loss: 28.3126 2022-06-21 19:15:12,290 - mmseg - INFO - Iter [36100/40000] lr: 1.502e-06, eta: 0:35:22, time: 0.567, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7326, decode.loss_mask: 0.7395, decode.loss_dice: 1.0552, decode.d0.loss_cls: 3.0053, decode.d0.loss_mask: 0.7928, decode.d0.loss_dice: 1.2321, decode.d1.loss_cls: 1.0549, decode.d1.loss_mask: 0.7759, decode.d1.loss_dice: 1.1348, decode.d2.loss_cls: 0.8750, decode.d2.loss_mask: 0.7564, decode.d2.loss_dice: 1.0812, decode.d3.loss_cls: 0.8032, decode.d3.loss_mask: 0.7500, decode.d3.loss_dice: 1.0667, decode.d4.loss_cls: 0.7774, decode.d4.loss_mask: 0.7484, decode.d4.loss_dice: 1.0671, decode.d5.loss_cls: 0.7629, decode.d5.loss_mask: 0.7474, decode.d5.loss_dice: 1.0622, decode.d6.loss_cls: 0.7368, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.0595, decode.d7.loss_cls: 0.7392, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.0601, decode.d8.loss_cls: 0.7356, decode.d8.loss_mask: 0.7375, decode.d8.loss_dice: 1.0551, loss: 28.6318 2022-06-21 19:15:38,655 - mmseg - INFO - Iter [36150/40000] lr: 1.483e-06, eta: 0:34:55, time: 0.528, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7438, decode.loss_mask: 0.7558, decode.loss_dice: 1.0888, decode.d0.loss_cls: 2.9976, decode.d0.loss_mask: 0.8105, decode.d0.loss_dice: 1.2672, decode.d1.loss_cls: 1.0800, decode.d1.loss_mask: 0.7834, decode.d1.loss_dice: 1.1682, decode.d2.loss_cls: 0.9007, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.1226, decode.d3.loss_cls: 0.8283, decode.d3.loss_mask: 0.7655, decode.d3.loss_dice: 1.1039, decode.d4.loss_cls: 0.8041, decode.d4.loss_mask: 0.7631, decode.d4.loss_dice: 1.1017, decode.d5.loss_cls: 0.7762, decode.d5.loss_mask: 0.7629, decode.d5.loss_dice: 1.1022, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7608, decode.d6.loss_dice: 1.0924, decode.d7.loss_cls: 0.7587, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.0935, decode.d8.loss_cls: 0.7494, decode.d8.loss_mask: 0.7584, decode.d8.loss_dice: 1.0899, loss: 29.3185 2022-06-21 19:16:06,397 - mmseg - INFO - Iter [36200/40000] lr: 1.463e-06, eta: 0:34:28, time: 0.554, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7556, decode.loss_mask: 0.7691, decode.loss_dice: 1.0762, decode.d0.loss_cls: 2.9731, decode.d0.loss_mask: 0.8316, decode.d0.loss_dice: 1.2464, decode.d1.loss_cls: 1.0653, decode.d1.loss_mask: 0.8072, decode.d1.loss_dice: 1.1523, decode.d2.loss_cls: 0.8969, decode.d2.loss_mask: 0.7848, decode.d2.loss_dice: 1.1102, decode.d3.loss_cls: 0.8178, decode.d3.loss_mask: 0.7813, decode.d3.loss_dice: 1.0852, decode.d4.loss_cls: 0.7886, decode.d4.loss_mask: 0.7785, decode.d4.loss_dice: 1.0929, decode.d5.loss_cls: 0.7725, decode.d5.loss_mask: 0.7756, decode.d5.loss_dice: 1.0863, decode.d6.loss_cls: 0.7630, decode.d6.loss_mask: 0.7723, decode.d6.loss_dice: 1.0825, decode.d7.loss_cls: 0.7546, decode.d7.loss_mask: 0.7694, decode.d7.loss_dice: 1.0812, decode.d8.loss_cls: 0.7550, decode.d8.loss_mask: 0.7707, decode.d8.loss_dice: 1.0820, loss: 29.2779 2022-06-21 19:16:32,747 - mmseg - INFO - Iter [36250/40000] lr: 1.444e-06, eta: 0:34:00, time: 0.528, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6895, decode.loss_mask: 0.7543, decode.loss_dice: 1.0381, decode.d0.loss_cls: 2.9106, decode.d0.loss_mask: 0.8111, decode.d0.loss_dice: 1.2010, decode.d1.loss_cls: 1.0136, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.1012, decode.d2.loss_cls: 0.8418, decode.d2.loss_mask: 0.7647, decode.d2.loss_dice: 1.0520, decode.d3.loss_cls: 0.7733, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.0415, decode.d4.loss_cls: 0.7492, decode.d4.loss_mask: 0.7565, decode.d4.loss_dice: 1.0405, decode.d5.loss_cls: 0.7295, decode.d5.loss_mask: 0.7528, decode.d5.loss_dice: 1.0359, decode.d6.loss_cls: 0.7020, decode.d6.loss_mask: 0.7546, decode.d6.loss_dice: 1.0336, decode.d7.loss_cls: 0.7045, decode.d7.loss_mask: 0.7578, decode.d7.loss_dice: 1.0367, decode.d8.loss_cls: 0.6957, decode.d8.loss_mask: 0.7575, decode.d8.loss_dice: 1.0401, loss: 28.0828 2022-06-21 19:16:59,963 - mmseg - INFO - Iter [36300/40000] lr: 1.425e-06, eta: 0:33:33, time: 0.544, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7074, decode.loss_mask: 0.7614, decode.loss_dice: 1.0531, decode.d0.loss_cls: 2.9553, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.2273, decode.d1.loss_cls: 1.0235, decode.d1.loss_mask: 0.7861, decode.d1.loss_dice: 1.1206, decode.d2.loss_cls: 0.8433, decode.d2.loss_mask: 0.7731, decode.d2.loss_dice: 1.0770, decode.d3.loss_cls: 0.7735, decode.d3.loss_mask: 0.7650, decode.d3.loss_dice: 1.0625, decode.d4.loss_cls: 0.7467, decode.d4.loss_mask: 0.7674, decode.d4.loss_dice: 1.0612, decode.d5.loss_cls: 0.7284, decode.d5.loss_mask: 0.7660, decode.d5.loss_dice: 1.0561, decode.d6.loss_cls: 0.7203, decode.d6.loss_mask: 0.7651, decode.d6.loss_dice: 1.0497, decode.d7.loss_cls: 0.7127, decode.d7.loss_mask: 0.7628, decode.d7.loss_dice: 1.0512, decode.d8.loss_cls: 0.6997, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.0547, loss: 28.4476 2022-06-21 19:17:26,632 - mmseg - INFO - Iter [36350/40000] lr: 1.406e-06, eta: 0:33:06, time: 0.533, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7670, decode.loss_mask: 0.7499, decode.loss_dice: 1.0664, decode.d0.loss_cls: 3.0357, decode.d0.loss_mask: 0.7958, decode.d0.loss_dice: 1.2351, decode.d1.loss_cls: 1.0935, decode.d1.loss_mask: 0.7811, decode.d1.loss_dice: 1.1386, decode.d2.loss_cls: 0.9023, decode.d2.loss_mask: 0.7607, decode.d2.loss_dice: 1.0911, decode.d3.loss_cls: 0.8333, decode.d3.loss_mask: 0.7616, decode.d3.loss_dice: 1.0818, decode.d4.loss_cls: 0.8095, decode.d4.loss_mask: 0.7584, decode.d4.loss_dice: 1.0795, decode.d5.loss_cls: 0.7925, decode.d5.loss_mask: 0.7562, decode.d5.loss_dice: 1.0797, decode.d6.loss_cls: 0.7807, decode.d6.loss_mask: 0.7554, decode.d6.loss_dice: 1.0723, decode.d7.loss_cls: 0.7768, decode.d7.loss_mask: 0.7505, decode.d7.loss_dice: 1.0704, decode.d8.loss_cls: 0.7632, decode.d8.loss_mask: 0.7522, decode.d8.loss_dice: 1.0699, loss: 29.1611 2022-06-21 19:17:51,568 - mmseg - INFO - Iter [36400/40000] lr: 1.386e-06, eta: 0:32:38, time: 0.499, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7298, decode.loss_mask: 0.7521, decode.loss_dice: 1.0270, decode.d0.loss_cls: 2.9198, decode.d0.loss_mask: 0.8085, decode.d0.loss_dice: 1.1862, decode.d1.loss_cls: 1.0322, decode.d1.loss_mask: 0.7780, decode.d1.loss_dice: 1.0889, decode.d2.loss_cls: 0.8652, decode.d2.loss_mask: 0.7628, decode.d2.loss_dice: 1.0469, decode.d3.loss_cls: 0.7983, decode.d3.loss_mask: 0.7571, decode.d3.loss_dice: 1.0386, decode.d4.loss_cls: 0.7780, decode.d4.loss_mask: 0.7515, decode.d4.loss_dice: 1.0400, decode.d5.loss_cls: 0.7539, decode.d5.loss_mask: 0.7563, decode.d5.loss_dice: 1.0373, decode.d6.loss_cls: 0.7425, decode.d6.loss_mask: 0.7527, decode.d6.loss_dice: 1.0322, decode.d7.loss_cls: 0.7238, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.0348, decode.d8.loss_cls: 0.7283, decode.d8.loss_mask: 0.7497, decode.d8.loss_dice: 1.0280, loss: 28.2517 2022-06-21 19:18:17,588 - mmseg - INFO - Iter [36450/40000] lr: 1.367e-06, eta: 0:32:11, time: 0.520, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7430, decode.loss_mask: 0.7503, decode.loss_dice: 1.0782, decode.d0.loss_cls: 3.0186, decode.d0.loss_mask: 0.7970, decode.d0.loss_dice: 1.2553, decode.d1.loss_cls: 1.0621, decode.d1.loss_mask: 0.7825, decode.d1.loss_dice: 1.1533, decode.d2.loss_cls: 0.8883, decode.d2.loss_mask: 0.7643, decode.d2.loss_dice: 1.1070, decode.d3.loss_cls: 0.8194, decode.d3.loss_mask: 0.7586, decode.d3.loss_dice: 1.0953, decode.d4.loss_cls: 0.7916, decode.d4.loss_mask: 0.7569, decode.d4.loss_dice: 1.0917, decode.d5.loss_cls: 0.7685, decode.d5.loss_mask: 0.7531, decode.d5.loss_dice: 1.0889, decode.d6.loss_cls: 0.7541, decode.d6.loss_mask: 0.7523, decode.d6.loss_dice: 1.0826, decode.d7.loss_cls: 0.7478, decode.d7.loss_mask: 0.7519, decode.d7.loss_dice: 1.0814, decode.d8.loss_cls: 0.7450, decode.d8.loss_mask: 0.7518, decode.d8.loss_dice: 1.0829, loss: 29.0737 2022-06-21 19:18:42,568 - mmseg - INFO - Iter [36500/40000] lr: 1.348e-06, eta: 0:31:44, time: 0.499, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7463, decode.loss_mask: 0.7402, decode.loss_dice: 1.0690, decode.d0.loss_cls: 3.0042, decode.d0.loss_mask: 0.7927, decode.d0.loss_dice: 1.2490, decode.d1.loss_cls: 1.0821, decode.d1.loss_mask: 0.7731, decode.d1.loss_dice: 1.1395, decode.d2.loss_cls: 0.8953, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.0961, decode.d3.loss_cls: 0.8252, decode.d3.loss_mask: 0.7509, decode.d3.loss_dice: 1.0836, decode.d4.loss_cls: 0.7941, decode.d4.loss_mask: 0.7470, decode.d4.loss_dice: 1.0844, decode.d5.loss_cls: 0.7750, decode.d5.loss_mask: 0.7470, decode.d5.loss_dice: 1.0782, decode.d6.loss_cls: 0.7583, decode.d6.loss_mask: 0.7443, decode.d6.loss_dice: 1.0740, decode.d7.loss_cls: 0.7518, decode.d7.loss_mask: 0.7435, decode.d7.loss_dice: 1.0725, decode.d8.loss_cls: 0.7458, decode.d8.loss_mask: 0.7458, decode.d8.loss_dice: 1.0725, loss: 28.9361 2022-06-21 19:19:09,962 - mmseg - INFO - Iter [36550/40000] lr: 1.329e-06, eta: 0:31:17, time: 0.547, data_time: 0.060, memory: 40943, decode.loss_cls: 0.7374, decode.loss_mask: 0.7406, decode.loss_dice: 1.0484, decode.d0.loss_cls: 2.9744, decode.d0.loss_mask: 0.8006, decode.d0.loss_dice: 1.2245, decode.d1.loss_cls: 1.0809, decode.d1.loss_mask: 0.7698, decode.d1.loss_dice: 1.1157, decode.d2.loss_cls: 0.9009, decode.d2.loss_mask: 0.7568, decode.d2.loss_dice: 1.0716, decode.d3.loss_cls: 0.8224, decode.d3.loss_mask: 0.7528, decode.d3.loss_dice: 1.0605, decode.d4.loss_cls: 0.7950, decode.d4.loss_mask: 0.7460, decode.d4.loss_dice: 1.0567, decode.d5.loss_cls: 0.7821, decode.d5.loss_mask: 0.7407, decode.d5.loss_dice: 1.0518, decode.d6.loss_cls: 0.7641, decode.d6.loss_mask: 0.7421, decode.d6.loss_dice: 1.0493, decode.d7.loss_cls: 0.7498, decode.d7.loss_mask: 0.7399, decode.d7.loss_dice: 1.0499, decode.d8.loss_cls: 0.7427, decode.d8.loss_mask: 0.7412, decode.d8.loss_dice: 1.0455, loss: 28.6541 2022-06-21 19:19:35,530 - mmseg - INFO - Iter [36600/40000] lr: 1.309e-06, eta: 0:30:49, time: 0.511, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7903, decode.loss_mask: 0.7505, decode.loss_dice: 1.0570, decode.d0.loss_cls: 3.0017, decode.d0.loss_mask: 0.8107, decode.d0.loss_dice: 1.2297, decode.d1.loss_cls: 1.1172, decode.d1.loss_mask: 0.7888, decode.d1.loss_dice: 1.1334, decode.d2.loss_cls: 0.9493, decode.d2.loss_mask: 0.7689, decode.d2.loss_dice: 1.0833, decode.d3.loss_cls: 0.8796, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.0656, decode.d4.loss_cls: 0.8534, decode.d4.loss_mask: 0.7613, decode.d4.loss_dice: 1.0666, decode.d5.loss_cls: 0.8304, decode.d5.loss_mask: 0.7562, decode.d5.loss_dice: 1.0606, decode.d6.loss_cls: 0.8123, decode.d6.loss_mask: 0.7523, decode.d6.loss_dice: 1.0542, decode.d7.loss_cls: 0.7989, decode.d7.loss_mask: 0.7548, decode.d7.loss_dice: 1.0599, decode.d8.loss_cls: 0.7918, decode.d8.loss_mask: 0.7530, decode.d8.loss_dice: 1.0616, loss: 29.3517 2022-06-21 19:20:02,530 - mmseg - INFO - Iter [36650/40000] lr: 1.290e-06, eta: 0:30:22, time: 0.541, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7104, decode.loss_mask: 0.7644, decode.loss_dice: 1.0257, decode.d0.loss_cls: 2.9855, decode.d0.loss_mask: 0.8161, decode.d0.loss_dice: 1.2001, decode.d1.loss_cls: 1.0514, decode.d1.loss_mask: 0.7981, decode.d1.loss_dice: 1.1004, decode.d2.loss_cls: 0.8641, decode.d2.loss_mask: 0.7776, decode.d2.loss_dice: 1.0616, decode.d3.loss_cls: 0.7889, decode.d3.loss_mask: 0.7717, decode.d3.loss_dice: 1.0403, decode.d4.loss_cls: 0.7591, decode.d4.loss_mask: 0.7670, decode.d4.loss_dice: 1.0388, decode.d5.loss_cls: 0.7532, decode.d5.loss_mask: 0.7677, decode.d5.loss_dice: 1.0326, decode.d6.loss_cls: 0.7320, decode.d6.loss_mask: 0.7672, decode.d6.loss_dice: 1.0308, decode.d7.loss_cls: 0.7217, decode.d7.loss_mask: 0.7658, decode.d7.loss_dice: 1.0288, decode.d8.loss_cls: 0.7171, decode.d8.loss_mask: 0.7635, decode.d8.loss_dice: 1.0295, loss: 28.4311 2022-06-21 19:20:28,779 - mmseg - INFO - Iter [36700/40000] lr: 1.271e-06, eta: 0:29:55, time: 0.525, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7159, decode.loss_mask: 0.7397, decode.loss_dice: 1.0251, decode.d0.loss_cls: 2.9483, decode.d0.loss_mask: 0.7951, decode.d0.loss_dice: 1.2033, decode.d1.loss_cls: 1.0380, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.1049, decode.d2.loss_cls: 0.8597, decode.d2.loss_mask: 0.7539, decode.d2.loss_dice: 1.0580, decode.d3.loss_cls: 0.7929, decode.d3.loss_mask: 0.7475, decode.d3.loss_dice: 1.0440, decode.d4.loss_cls: 0.7713, decode.d4.loss_mask: 0.7443, decode.d4.loss_dice: 1.0417, decode.d5.loss_cls: 0.7400, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.0355, decode.d6.loss_cls: 0.7306, decode.d6.loss_mask: 0.7420, decode.d6.loss_dice: 1.0264, decode.d7.loss_cls: 0.7266, decode.d7.loss_mask: 0.7417, decode.d7.loss_dice: 1.0303, decode.d8.loss_cls: 0.7136, decode.d8.loss_mask: 0.7396, decode.d8.loss_dice: 1.0312, loss: 28.1549 2022-06-21 19:20:54,462 - mmseg - INFO - Iter [36750/40000] lr: 1.252e-06, eta: 0:29:27, time: 0.514, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7298, decode.loss_mask: 0.7490, decode.loss_dice: 1.0609, decode.d0.loss_cls: 2.9886, decode.d0.loss_mask: 0.7988, decode.d0.loss_dice: 1.2289, decode.d1.loss_cls: 1.0699, decode.d1.loss_mask: 0.7872, decode.d1.loss_dice: 1.1298, decode.d2.loss_cls: 0.8748, decode.d2.loss_mask: 0.7660, decode.d2.loss_dice: 1.0924, decode.d3.loss_cls: 0.8154, decode.d3.loss_mask: 0.7590, decode.d3.loss_dice: 1.0745, decode.d4.loss_cls: 0.7807, decode.d4.loss_mask: 0.7566, decode.d4.loss_dice: 1.0693, decode.d5.loss_cls: 0.7650, decode.d5.loss_mask: 0.7576, decode.d5.loss_dice: 1.0725, decode.d6.loss_cls: 0.7527, decode.d6.loss_mask: 0.7546, decode.d6.loss_dice: 1.0655, decode.d7.loss_cls: 0.7388, decode.d7.loss_mask: 0.7535, decode.d7.loss_dice: 1.0682, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7517, decode.d8.loss_dice: 1.0665, loss: 28.8087 2022-06-21 19:21:20,373 - mmseg - INFO - Iter [36800/40000] lr: 1.232e-06, eta: 0:29:00, time: 0.518, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7246, decode.loss_mask: 0.7339, decode.loss_dice: 1.0586, decode.d0.loss_cls: 2.9440, decode.d0.loss_mask: 0.7898, decode.d0.loss_dice: 1.2322, decode.d1.loss_cls: 1.0266, decode.d1.loss_mask: 0.7655, decode.d1.loss_dice: 1.1417, decode.d2.loss_cls: 0.8686, decode.d2.loss_mask: 0.7470, decode.d2.loss_dice: 1.0885, decode.d3.loss_cls: 0.7995, decode.d3.loss_mask: 0.7428, decode.d3.loss_dice: 1.0750, decode.d4.loss_cls: 0.7762, decode.d4.loss_mask: 0.7403, decode.d4.loss_dice: 1.0765, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7431, decode.d5.loss_dice: 1.0631, decode.d6.loss_cls: 0.7540, decode.d6.loss_mask: 0.7382, decode.d6.loss_dice: 1.0607, decode.d7.loss_cls: 0.7385, decode.d7.loss_mask: 0.7378, decode.d7.loss_dice: 1.0658, decode.d8.loss_cls: 0.7308, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.0618, loss: 28.5191 2022-06-21 19:21:47,778 - mmseg - INFO - Iter [36850/40000] lr: 1.213e-06, eta: 0:28:33, time: 0.547, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7356, decode.loss_mask: 0.7553, decode.loss_dice: 1.0577, decode.d0.loss_cls: 2.9375, decode.d0.loss_mask: 0.8053, decode.d0.loss_dice: 1.2335, decode.d1.loss_cls: 1.0469, decode.d1.loss_mask: 0.7862, decode.d1.loss_dice: 1.1360, decode.d2.loss_cls: 0.8890, decode.d2.loss_mask: 0.7662, decode.d2.loss_dice: 1.0859, decode.d3.loss_cls: 0.8224, decode.d3.loss_mask: 0.7584, decode.d3.loss_dice: 1.0693, decode.d4.loss_cls: 0.7923, decode.d4.loss_mask: 0.7594, decode.d4.loss_dice: 1.0727, decode.d5.loss_cls: 0.7684, decode.d5.loss_mask: 0.7622, decode.d5.loss_dice: 1.0688, decode.d6.loss_cls: 0.7461, decode.d6.loss_mask: 0.7577, decode.d6.loss_dice: 1.0583, decode.d7.loss_cls: 0.7360, decode.d7.loss_mask: 0.7579, decode.d7.loss_dice: 1.0599, decode.d8.loss_cls: 0.7354, decode.d8.loss_mask: 0.7588, decode.d8.loss_dice: 1.0586, loss: 28.7778 2022-06-21 19:22:13,728 - mmseg - INFO - Iter [36900/40000] lr: 1.194e-06, eta: 0:28:06, time: 0.520, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7599, decode.loss_mask: 0.7534, decode.loss_dice: 1.0542, decode.d0.loss_cls: 3.0237, decode.d0.loss_mask: 0.8031, decode.d0.loss_dice: 1.2469, decode.d1.loss_cls: 1.0949, decode.d1.loss_mask: 0.7865, decode.d1.loss_dice: 1.1397, decode.d2.loss_cls: 0.9166, decode.d2.loss_mask: 0.7665, decode.d2.loss_dice: 1.0913, decode.d3.loss_cls: 0.8414, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.0774, decode.d4.loss_cls: 0.8096, decode.d4.loss_mask: 0.7583, decode.d4.loss_dice: 1.0749, decode.d5.loss_cls: 0.7957, decode.d5.loss_mask: 0.7555, decode.d5.loss_dice: 1.0668, decode.d6.loss_cls: 0.7672, decode.d6.loss_mask: 0.7590, decode.d6.loss_dice: 1.0581, decode.d7.loss_cls: 0.7634, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.0556, decode.d8.loss_cls: 0.7579, decode.d8.loss_mask: 0.7558, decode.d8.loss_dice: 1.0618, loss: 29.1138 2022-06-21 19:22:39,344 - mmseg - INFO - Iter [36950/40000] lr: 1.175e-06, eta: 0:27:38, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7302, decode.loss_mask: 0.7675, decode.loss_dice: 1.0907, decode.d0.loss_cls: 2.9674, decode.d0.loss_mask: 0.8187, decode.d0.loss_dice: 1.2424, decode.d1.loss_cls: 1.0446, decode.d1.loss_mask: 0.7932, decode.d1.loss_dice: 1.1456, decode.d2.loss_cls: 0.8630, decode.d2.loss_mask: 0.7791, decode.d2.loss_dice: 1.1124, decode.d3.loss_cls: 0.8088, decode.d3.loss_mask: 0.7730, decode.d3.loss_dice: 1.0969, decode.d4.loss_cls: 0.7714, decode.d4.loss_mask: 0.7724, decode.d4.loss_dice: 1.0956, decode.d5.loss_cls: 0.7503, decode.d5.loss_mask: 0.7727, decode.d5.loss_dice: 1.0930, decode.d6.loss_cls: 0.7404, decode.d6.loss_mask: 0.7722, decode.d6.loss_dice: 1.0841, decode.d7.loss_cls: 0.7385, decode.d7.loss_mask: 0.7715, decode.d7.loss_dice: 1.0908, decode.d8.loss_cls: 0.7342, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.0884, loss: 29.0764 2022-06-21 19:23:06,565 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-06-21 19:23:13,196 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:23:13,197 - mmseg - INFO - Iter [37000/40000] lr: 1.155e-06, eta: 0:27:12, time: 0.677, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7269, decode.loss_mask: 0.7350, decode.loss_dice: 1.0315, decode.d0.loss_cls: 2.9226, decode.d0.loss_mask: 0.7870, decode.d0.loss_dice: 1.1947, decode.d1.loss_cls: 1.0183, decode.d1.loss_mask: 0.7676, decode.d1.loss_dice: 1.1005, decode.d2.loss_cls: 0.8555, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.0624, decode.d3.loss_cls: 0.7925, decode.d3.loss_mask: 0.7476, decode.d3.loss_dice: 1.0420, decode.d4.loss_cls: 0.7615, decode.d4.loss_mask: 0.7434, decode.d4.loss_dice: 1.0458, decode.d5.loss_cls: 0.7501, decode.d5.loss_mask: 0.7418, decode.d5.loss_dice: 1.0381, decode.d6.loss_cls: 0.7382, decode.d6.loss_mask: 0.7395, decode.d6.loss_dice: 1.0355, decode.d7.loss_cls: 0.7220, decode.d7.loss_mask: 0.7379, decode.d7.loss_dice: 1.0321, decode.d8.loss_cls: 0.7272, decode.d8.loss_mask: 0.7388, decode.d8.loss_dice: 1.0348, loss: 28.1252 2022-06-21 19:23:38,392 - mmseg - INFO - Iter [37050/40000] lr: 1.136e-06, eta: 0:26:44, time: 0.503, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7281, decode.loss_mask: 0.7643, decode.loss_dice: 1.0617, decode.d0.loss_cls: 2.9614, decode.d0.loss_mask: 0.8205, decode.d0.loss_dice: 1.2352, decode.d1.loss_cls: 1.0385, decode.d1.loss_mask: 0.8029, decode.d1.loss_dice: 1.1404, decode.d2.loss_cls: 0.8719, decode.d2.loss_mask: 0.7843, decode.d2.loss_dice: 1.0914, decode.d3.loss_cls: 0.8175, decode.d3.loss_mask: 0.7770, decode.d3.loss_dice: 1.0775, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7737, decode.d4.loss_dice: 1.0790, decode.d5.loss_cls: 0.7698, decode.d5.loss_mask: 0.7706, decode.d5.loss_dice: 1.0686, decode.d6.loss_cls: 0.7487, decode.d6.loss_mask: 0.7679, decode.d6.loss_dice: 1.0658, decode.d7.loss_cls: 0.7437, decode.d7.loss_mask: 0.7632, decode.d7.loss_dice: 1.0659, decode.d8.loss_cls: 0.7337, decode.d8.loss_mask: 0.7619, decode.d8.loss_dice: 1.0629, loss: 28.9360 2022-06-21 19:24:06,292 - mmseg - INFO - Iter [37100/40000] lr: 1.117e-06, eta: 0:26:17, time: 0.559, data_time: 0.063, memory: 40943, decode.loss_cls: 0.7349, decode.loss_mask: 0.7574, decode.loss_dice: 1.0674, decode.d0.loss_cls: 3.0047, decode.d0.loss_mask: 0.8107, decode.d0.loss_dice: 1.2419, decode.d1.loss_cls: 1.0720, decode.d1.loss_mask: 0.7946, decode.d1.loss_dice: 1.1407, decode.d2.loss_cls: 0.8932, decode.d2.loss_mask: 0.7747, decode.d2.loss_dice: 1.0955, decode.d3.loss_cls: 0.8230, decode.d3.loss_mask: 0.7647, decode.d3.loss_dice: 1.0759, decode.d4.loss_cls: 0.7895, decode.d4.loss_mask: 0.7633, decode.d4.loss_dice: 1.0743, decode.d5.loss_cls: 0.7778, decode.d5.loss_mask: 0.7579, decode.d5.loss_dice: 1.0673, decode.d6.loss_cls: 0.7523, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.0692, decode.d7.loss_cls: 0.7427, decode.d7.loss_mask: 0.7561, decode.d7.loss_dice: 1.0642, decode.d8.loss_cls: 0.7396, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.0652, loss: 28.9793 2022-06-21 19:24:31,725 - mmseg - INFO - Iter [37150/40000] lr: 1.098e-06, eta: 0:25:50, time: 0.509, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6909, decode.loss_mask: 0.7271, decode.loss_dice: 1.0484, decode.d0.loss_cls: 2.8835, decode.d0.loss_mask: 0.7905, decode.d0.loss_dice: 1.2024, decode.d1.loss_cls: 1.0161, decode.d1.loss_mask: 0.7618, decode.d1.loss_dice: 1.1168, decode.d2.loss_cls: 0.8290, decode.d2.loss_mask: 0.7428, decode.d2.loss_dice: 1.0685, decode.d3.loss_cls: 0.7768, decode.d3.loss_mask: 0.7395, decode.d3.loss_dice: 1.0596, decode.d4.loss_cls: 0.7388, decode.d4.loss_mask: 0.7387, decode.d4.loss_dice: 1.0605, decode.d5.loss_cls: 0.7242, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.0530, decode.d6.loss_cls: 0.7101, decode.d6.loss_mask: 0.7317, decode.d6.loss_dice: 1.0476, decode.d7.loss_cls: 0.6993, decode.d7.loss_mask: 0.7298, decode.d7.loss_dice: 1.0496, decode.d8.loss_cls: 0.6993, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.0525, loss: 27.9538 2022-06-21 19:24:56,307 - mmseg - INFO - Iter [37200/40000] lr: 1.078e-06, eta: 0:25:22, time: 0.492, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7436, decode.loss_mask: 0.7212, decode.loss_dice: 1.0426, decode.d0.loss_cls: 3.0322, decode.d0.loss_mask: 0.7795, decode.d0.loss_dice: 1.2153, decode.d1.loss_cls: 1.0714, decode.d1.loss_mask: 0.7558, decode.d1.loss_dice: 1.1116, decode.d2.loss_cls: 0.8879, decode.d2.loss_mask: 0.7392, decode.d2.loss_dice: 1.0731, decode.d3.loss_cls: 0.8286, decode.d3.loss_mask: 0.7311, decode.d3.loss_dice: 1.0559, decode.d4.loss_cls: 0.8071, decode.d4.loss_mask: 0.7245, decode.d4.loss_dice: 1.0486, decode.d5.loss_cls: 0.7866, decode.d5.loss_mask: 0.7243, decode.d5.loss_dice: 1.0521, decode.d6.loss_cls: 0.7646, decode.d6.loss_mask: 0.7235, decode.d6.loss_dice: 1.0442, decode.d7.loss_cls: 0.7553, decode.d7.loss_mask: 0.7210, decode.d7.loss_dice: 1.0440, decode.d8.loss_cls: 0.7476, decode.d8.loss_mask: 0.7201, decode.d8.loss_dice: 1.0422, loss: 28.4944 2022-06-21 19:25:22,817 - mmseg - INFO - Iter [37250/40000] lr: 1.059e-06, eta: 0:24:55, time: 0.530, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7104, decode.loss_mask: 0.7602, decode.loss_dice: 1.0581, decode.d0.loss_cls: 2.9861, decode.d0.loss_mask: 0.8195, decode.d0.loss_dice: 1.2389, decode.d1.loss_cls: 1.0596, decode.d1.loss_mask: 0.7919, decode.d1.loss_dice: 1.1404, decode.d2.loss_cls: 0.8686, decode.d2.loss_mask: 0.7749, decode.d2.loss_dice: 1.0876, decode.d3.loss_cls: 0.8000, decode.d3.loss_mask: 0.7659, decode.d3.loss_dice: 1.0677, decode.d4.loss_cls: 0.7685, decode.d4.loss_mask: 0.7630, decode.d4.loss_dice: 1.0660, decode.d5.loss_cls: 0.7523, decode.d5.loss_mask: 0.7617, decode.d5.loss_dice: 1.0598, decode.d6.loss_cls: 0.7346, decode.d6.loss_mask: 0.7616, decode.d6.loss_dice: 1.0553, decode.d7.loss_cls: 0.7221, decode.d7.loss_mask: 0.7593, decode.d7.loss_dice: 1.0581, decode.d8.loss_cls: 0.7220, decode.d8.loss_mask: 0.7623, decode.d8.loss_dice: 1.0596, loss: 28.7358 2022-06-21 19:25:48,003 - mmseg - INFO - Iter [37300/40000] lr: 1.040e-06, eta: 0:24:28, time: 0.503, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7136, decode.loss_mask: 0.7347, decode.loss_dice: 1.0368, decode.d0.loss_cls: 2.9699, decode.d0.loss_mask: 0.7853, decode.d0.loss_dice: 1.2026, decode.d1.loss_cls: 1.0546, decode.d1.loss_mask: 0.7665, decode.d1.loss_dice: 1.1017, decode.d2.loss_cls: 0.8769, decode.d2.loss_mask: 0.7525, decode.d2.loss_dice: 1.0635, decode.d3.loss_cls: 0.8063, decode.d3.loss_mask: 0.7441, decode.d3.loss_dice: 1.0469, decode.d4.loss_cls: 0.7700, decode.d4.loss_mask: 0.7452, decode.d4.loss_dice: 1.0509, decode.d5.loss_cls: 0.7480, decode.d5.loss_mask: 0.7402, decode.d5.loss_dice: 1.0419, decode.d6.loss_cls: 0.7364, decode.d6.loss_mask: 0.7384, decode.d6.loss_dice: 1.0271, decode.d7.loss_cls: 0.7226, decode.d7.loss_mask: 0.7397, decode.d7.loss_dice: 1.0282, decode.d8.loss_cls: 0.7150, decode.d8.loss_mask: 0.7382, decode.d8.loss_dice: 1.0362, loss: 28.2338 2022-06-21 19:26:13,064 - mmseg - INFO - Iter [37350/40000] lr: 1.021e-06, eta: 0:24:00, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7524, decode.loss_mask: 0.7443, decode.loss_dice: 1.0720, decode.d0.loss_cls: 3.0186, decode.d0.loss_mask: 0.8021, decode.d0.loss_dice: 1.2476, decode.d1.loss_cls: 1.0877, decode.d1.loss_mask: 0.7823, decode.d1.loss_dice: 1.1515, decode.d2.loss_cls: 0.9201, decode.d2.loss_mask: 0.7624, decode.d2.loss_dice: 1.0944, decode.d3.loss_cls: 0.8384, decode.d3.loss_mask: 0.7565, decode.d3.loss_dice: 1.0820, decode.d4.loss_cls: 0.8093, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.0797, decode.d5.loss_cls: 0.7964, decode.d5.loss_mask: 0.7467, decode.d5.loss_dice: 1.0715, decode.d6.loss_cls: 0.7726, decode.d6.loss_mask: 0.7467, decode.d6.loss_dice: 1.0720, decode.d7.loss_cls: 0.7598, decode.d7.loss_mask: 0.7430, decode.d7.loss_dice: 1.0725, decode.d8.loss_cls: 0.7582, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.0687, loss: 29.1051 2022-06-21 19:26:37,875 - mmseg - INFO - Iter [37400/40000] lr: 1.001e-06, eta: 0:23:33, time: 0.497, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7591, decode.loss_mask: 0.7593, decode.loss_dice: 1.0628, decode.d0.loss_cls: 2.9971, decode.d0.loss_mask: 0.8102, decode.d0.loss_dice: 1.2346, decode.d1.loss_cls: 1.0900, decode.d1.loss_mask: 0.7941, decode.d1.loss_dice: 1.1261, decode.d2.loss_cls: 0.9148, decode.d2.loss_mask: 0.7743, decode.d2.loss_dice: 1.0889, decode.d3.loss_cls: 0.8436, decode.d3.loss_mask: 0.7684, decode.d3.loss_dice: 1.0669, decode.d4.loss_cls: 0.8153, decode.d4.loss_mask: 0.7629, decode.d4.loss_dice: 1.0711, decode.d5.loss_cls: 0.7972, decode.d5.loss_mask: 0.7613, decode.d5.loss_dice: 1.0660, decode.d6.loss_cls: 0.7765, decode.d6.loss_mask: 0.7604, decode.d6.loss_dice: 1.0619, decode.d7.loss_cls: 0.7680, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.0612, decode.d8.loss_cls: 0.7607, decode.d8.loss_mask: 0.7583, decode.d8.loss_dice: 1.0622, loss: 29.1302 2022-06-21 19:27:02,847 - mmseg - INFO - Iter [37450/40000] lr: 9.822e-07, eta: 0:23:06, time: 0.499, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7497, decode.loss_mask: 0.7478, decode.loss_dice: 1.0732, decode.d0.loss_cls: 3.0032, decode.d0.loss_mask: 0.8013, decode.d0.loss_dice: 1.2494, decode.d1.loss_cls: 1.0858, decode.d1.loss_mask: 0.7750, decode.d1.loss_dice: 1.1460, decode.d2.loss_cls: 0.9095, decode.d2.loss_mask: 0.7598, decode.d2.loss_dice: 1.0991, decode.d3.loss_cls: 0.8383, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.0826, decode.d4.loss_cls: 0.8071, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.0815, decode.d5.loss_cls: 0.7903, decode.d5.loss_mask: 0.7501, decode.d5.loss_dice: 1.0787, decode.d6.loss_cls: 0.7693, decode.d6.loss_mask: 0.7478, decode.d6.loss_dice: 1.0725, decode.d7.loss_cls: 0.7569, decode.d7.loss_mask: 0.7469, decode.d7.loss_dice: 1.0740, decode.d8.loss_cls: 0.7539, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.0718, loss: 29.0741 2022-06-21 19:27:27,998 - mmseg - INFO - Iter [37500/40000] lr: 9.629e-07, eta: 0:22:38, time: 0.502, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7576, decode.loss_mask: 0.7335, decode.loss_dice: 1.0704, decode.d0.loss_cls: 3.0338, decode.d0.loss_mask: 0.7876, decode.d0.loss_dice: 1.2468, decode.d1.loss_cls: 1.1051, decode.d1.loss_mask: 0.7652, decode.d1.loss_dice: 1.1474, decode.d2.loss_cls: 0.9139, decode.d2.loss_mask: 0.7464, decode.d2.loss_dice: 1.1009, decode.d3.loss_cls: 0.8349, decode.d3.loss_mask: 0.7421, decode.d3.loss_dice: 1.0810, decode.d4.loss_cls: 0.8092, decode.d4.loss_mask: 0.7398, decode.d4.loss_dice: 1.0789, decode.d5.loss_cls: 0.7937, decode.d5.loss_mask: 0.7363, decode.d5.loss_dice: 1.0739, decode.d6.loss_cls: 0.7722, decode.d6.loss_mask: 0.7351, decode.d6.loss_dice: 1.0690, decode.d7.loss_cls: 0.7582, decode.d7.loss_mask: 0.7364, decode.d7.loss_dice: 1.0720, decode.d8.loss_cls: 0.7609, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.0729, loss: 29.0099 2022-06-21 19:27:52,640 - mmseg - INFO - Iter [37550/40000] lr: 9.437e-07, eta: 0:22:11, time: 0.493, data_time: 0.012, memory: 40943, decode.loss_cls: 0.7197, decode.loss_mask: 0.7376, decode.loss_dice: 1.0350, decode.d0.loss_cls: 2.9673, decode.d0.loss_mask: 0.7808, decode.d0.loss_dice: 1.2064, decode.d1.loss_cls: 1.0416, decode.d1.loss_mask: 0.7612, decode.d1.loss_dice: 1.1052, decode.d2.loss_cls: 0.8641, decode.d2.loss_mask: 0.7438, decode.d2.loss_dice: 1.0611, decode.d3.loss_cls: 0.7991, decode.d3.loss_mask: 0.7408, decode.d3.loss_dice: 1.0497, decode.d4.loss_cls: 0.7832, decode.d4.loss_mask: 0.7354, decode.d4.loss_dice: 1.0447, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7380, decode.d5.loss_dice: 1.0417, decode.d6.loss_cls: 0.7349, decode.d6.loss_mask: 0.7374, decode.d6.loss_dice: 1.0374, decode.d7.loss_cls: 0.7333, decode.d7.loss_mask: 0.7351, decode.d7.loss_dice: 1.0398, decode.d8.loss_cls: 0.7276, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.0394, loss: 28.2338 2022-06-21 19:28:18,150 - mmseg - INFO - Iter [37600/40000] lr: 9.244e-07, eta: 0:21:44, time: 0.510, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7314, decode.loss_mask: 0.7348, decode.loss_dice: 1.0246, decode.d0.loss_cls: 2.9674, decode.d0.loss_mask: 0.7938, decode.d0.loss_dice: 1.1961, decode.d1.loss_cls: 1.0708, decode.d1.loss_mask: 0.7651, decode.d1.loss_dice: 1.0916, decode.d2.loss_cls: 0.8892, decode.d2.loss_mask: 0.7489, decode.d2.loss_dice: 1.0455, decode.d3.loss_cls: 0.8261, decode.d3.loss_mask: 0.7405, decode.d3.loss_dice: 1.0322, decode.d4.loss_cls: 0.7898, decode.d4.loss_mask: 0.7399, decode.d4.loss_dice: 1.0287, decode.d5.loss_cls: 0.7695, decode.d5.loss_mask: 0.7371, decode.d5.loss_dice: 1.0316, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7371, decode.d6.loss_dice: 1.0290, decode.d7.loss_cls: 0.7506, decode.d7.loss_mask: 0.7346, decode.d7.loss_dice: 1.0236, decode.d8.loss_cls: 0.7357, decode.d8.loss_mask: 0.7346, decode.d8.loss_dice: 1.0238, loss: 28.2782 2022-06-21 19:28:43,140 - mmseg - INFO - Iter [37650/40000] lr: 9.052e-07, eta: 0:21:16, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6995, decode.loss_mask: 0.7468, decode.loss_dice: 1.0516, decode.d0.loss_cls: 2.9427, decode.d0.loss_mask: 0.8096, decode.d0.loss_dice: 1.2260, decode.d1.loss_cls: 1.0320, decode.d1.loss_mask: 0.7772, decode.d1.loss_dice: 1.1222, decode.d2.loss_cls: 0.8548, decode.d2.loss_mask: 0.7584, decode.d2.loss_dice: 1.0795, decode.d3.loss_cls: 0.7815, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.0695, decode.d4.loss_cls: 0.7633, decode.d4.loss_mask: 0.7549, decode.d4.loss_dice: 1.0696, decode.d5.loss_cls: 0.7319, decode.d5.loss_mask: 0.7483, decode.d5.loss_dice: 1.0622, decode.d6.loss_cls: 0.7044, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.0567, decode.d7.loss_cls: 0.6986, decode.d7.loss_mask: 0.7513, decode.d7.loss_dice: 1.0566, decode.d8.loss_cls: 0.7086, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.0546, loss: 28.3678 2022-06-21 19:29:11,987 - mmseg - INFO - Iter [37700/40000] lr: 8.859e-07, eta: 0:20:49, time: 0.576, data_time: 0.057, memory: 40943, decode.loss_cls: 0.7119, decode.loss_mask: 0.7552, decode.loss_dice: 1.0536, decode.d0.loss_cls: 2.9576, decode.d0.loss_mask: 0.8023, decode.d0.loss_dice: 1.2260, decode.d1.loss_cls: 1.0348, decode.d1.loss_mask: 0.7875, decode.d1.loss_dice: 1.1207, decode.d2.loss_cls: 0.8547, decode.d2.loss_mask: 0.7701, decode.d2.loss_dice: 1.0847, decode.d3.loss_cls: 0.7846, decode.d3.loss_mask: 0.7633, decode.d3.loss_dice: 1.0669, decode.d4.loss_cls: 0.7702, decode.d4.loss_mask: 0.7626, decode.d4.loss_dice: 1.0673, decode.d5.loss_cls: 0.7381, decode.d5.loss_mask: 0.7631, decode.d5.loss_dice: 1.0642, decode.d6.loss_cls: 0.7293, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.0538, decode.d7.loss_cls: 0.7160, decode.d7.loss_mask: 0.7602, decode.d7.loss_dice: 1.0569, decode.d8.loss_cls: 0.7096, decode.d8.loss_mask: 0.7574, decode.d8.loss_dice: 1.0555, loss: 28.5391 2022-06-21 19:29:38,310 - mmseg - INFO - Iter [37750/40000] lr: 8.666e-07, eta: 0:20:22, time: 0.527, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7451, decode.loss_mask: 0.7546, decode.loss_dice: 1.0575, decode.d0.loss_cls: 2.9764, decode.d0.loss_mask: 0.8071, decode.d0.loss_dice: 1.2180, decode.d1.loss_cls: 1.0604, decode.d1.loss_mask: 0.7948, decode.d1.loss_dice: 1.1283, decode.d2.loss_cls: 0.8868, decode.d2.loss_mask: 0.7750, decode.d2.loss_dice: 1.0813, decode.d3.loss_cls: 0.8228, decode.d3.loss_mask: 0.7620, decode.d3.loss_dice: 1.0663, decode.d4.loss_cls: 0.8006, decode.d4.loss_mask: 0.7600, decode.d4.loss_dice: 1.0650, decode.d5.loss_cls: 0.7830, decode.d5.loss_mask: 0.7543, decode.d5.loss_dice: 1.0620, decode.d6.loss_cls: 0.7574, decode.d6.loss_mask: 0.7530, decode.d6.loss_dice: 1.0556, decode.d7.loss_cls: 0.7514, decode.d7.loss_mask: 0.7532, decode.d7.loss_dice: 1.0567, decode.d8.loss_cls: 0.7482, decode.d8.loss_mask: 0.7549, decode.d8.loss_dice: 1.0550, loss: 28.8468 2022-06-21 19:30:03,860 - mmseg - INFO - Iter [37800/40000] lr: 8.474e-07, eta: 0:19:55, time: 0.511, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7175, decode.loss_mask: 0.7579, decode.loss_dice: 1.0430, decode.d0.loss_cls: 2.9626, decode.d0.loss_mask: 0.8083, decode.d0.loss_dice: 1.2196, decode.d1.loss_cls: 1.0755, decode.d1.loss_mask: 0.7910, decode.d1.loss_dice: 1.1207, decode.d2.loss_cls: 0.8891, decode.d2.loss_mask: 0.7710, decode.d2.loss_dice: 1.0728, decode.d3.loss_cls: 0.8055, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.0602, decode.d4.loss_cls: 0.7685, decode.d4.loss_mask: 0.7654, decode.d4.loss_dice: 1.0574, decode.d5.loss_cls: 0.7565, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.0566, decode.d6.loss_cls: 0.7334, decode.d6.loss_mask: 0.7570, decode.d6.loss_dice: 1.0504, decode.d7.loss_cls: 0.7244, decode.d7.loss_mask: 0.7581, decode.d7.loss_dice: 1.0493, decode.d8.loss_cls: 0.7156, decode.d8.loss_mask: 0.7577, decode.d8.loss_dice: 1.0490, loss: 28.6226 2022-06-21 19:30:29,983 - mmseg - INFO - Iter [37850/40000] lr: 8.281e-07, eta: 0:19:28, time: 0.522, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7267, decode.loss_mask: 0.7284, decode.loss_dice: 1.0541, decode.d0.loss_cls: 2.9882, decode.d0.loss_mask: 0.7802, decode.d0.loss_dice: 1.2219, decode.d1.loss_cls: 1.0460, decode.d1.loss_mask: 0.7580, decode.d1.loss_dice: 1.1371, decode.d2.loss_cls: 0.8717, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.0887, decode.d3.loss_cls: 0.8046, decode.d3.loss_mask: 0.7355, decode.d3.loss_dice: 1.0658, decode.d4.loss_cls: 0.7781, decode.d4.loss_mask: 0.7315, decode.d4.loss_dice: 1.0651, decode.d5.loss_cls: 0.7530, decode.d5.loss_mask: 0.7339, decode.d5.loss_dice: 1.0653, decode.d6.loss_cls: 0.7440, decode.d6.loss_mask: 0.7326, decode.d6.loss_dice: 1.0566, decode.d7.loss_cls: 0.7283, decode.d7.loss_mask: 0.7319, decode.d7.loss_dice: 1.0532, decode.d8.loss_cls: 0.7312, decode.d8.loss_mask: 0.7273, decode.d8.loss_dice: 1.0518, loss: 28.4324 2022-06-21 19:30:56,284 - mmseg - INFO - Iter [37900/40000] lr: 8.089e-07, eta: 0:19:00, time: 0.526, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7427, decode.loss_mask: 0.7260, decode.loss_dice: 1.0384, decode.d0.loss_cls: 3.0474, decode.d0.loss_mask: 0.7878, decode.d0.loss_dice: 1.2269, decode.d1.loss_cls: 1.0772, decode.d1.loss_mask: 0.7637, decode.d1.loss_dice: 1.1223, decode.d2.loss_cls: 0.8908, decode.d2.loss_mask: 0.7422, decode.d2.loss_dice: 1.0716, decode.d3.loss_cls: 0.8231, decode.d3.loss_mask: 0.7356, decode.d3.loss_dice: 1.0564, decode.d4.loss_cls: 0.8027, decode.d4.loss_mask: 0.7315, decode.d4.loss_dice: 1.0592, decode.d5.loss_cls: 0.7797, decode.d5.loss_mask: 0.7301, decode.d5.loss_dice: 1.0493, decode.d6.loss_cls: 0.7547, decode.d6.loss_mask: 0.7296, decode.d6.loss_dice: 1.0384, decode.d7.loss_cls: 0.7452, decode.d7.loss_mask: 0.7261, decode.d7.loss_dice: 1.0424, decode.d8.loss_cls: 0.7375, decode.d8.loss_mask: 0.7279, decode.d8.loss_dice: 1.0450, loss: 28.5513 2022-06-21 19:31:22,446 - mmseg - INFO - Iter [37950/40000] lr: 7.896e-07, eta: 0:18:33, time: 0.524, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7343, decode.loss_mask: 0.7329, decode.loss_dice: 1.0788, decode.d0.loss_cls: 3.0595, decode.d0.loss_mask: 0.7815, decode.d0.loss_dice: 1.2528, decode.d1.loss_cls: 1.0954, decode.d1.loss_mask: 0.7627, decode.d1.loss_dice: 1.1492, decode.d2.loss_cls: 0.9192, decode.d2.loss_mask: 0.7422, decode.d2.loss_dice: 1.0980, decode.d3.loss_cls: 0.8348, decode.d3.loss_mask: 0.7393, decode.d3.loss_dice: 1.0842, decode.d4.loss_cls: 0.8022, decode.d4.loss_mask: 0.7362, decode.d4.loss_dice: 1.0854, decode.d5.loss_cls: 0.7778, decode.d5.loss_mask: 0.7370, decode.d5.loss_dice: 1.0848, decode.d6.loss_cls: 0.7602, decode.d6.loss_mask: 0.7339, decode.d6.loss_dice: 1.0730, decode.d7.loss_cls: 0.7458, decode.d7.loss_mask: 0.7325, decode.d7.loss_dice: 1.0738, decode.d8.loss_cls: 0.7427, decode.d8.loss_mask: 0.7356, decode.d8.loss_dice: 1.0762, loss: 28.9619 2022-06-21 19:31:47,645 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-06-21 19:31:51,644 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:31:51,644 - mmseg - INFO - Iter [38000/40000] lr: 7.704e-07, eta: 0:18:06, time: 0.584, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7371, decode.loss_mask: 0.7429, decode.loss_dice: 1.0556, decode.d0.loss_cls: 3.0189, decode.d0.loss_mask: 0.7989, decode.d0.loss_dice: 1.2289, decode.d1.loss_cls: 1.0776, decode.d1.loss_mask: 0.7669, decode.d1.loss_dice: 1.1228, decode.d2.loss_cls: 0.8976, decode.d2.loss_mask: 0.7522, decode.d2.loss_dice: 1.0833, decode.d3.loss_cls: 0.8279, decode.d3.loss_mask: 0.7482, decode.d3.loss_dice: 1.0643, decode.d4.loss_cls: 0.7926, decode.d4.loss_mask: 0.7451, decode.d4.loss_dice: 1.0627, decode.d5.loss_cls: 0.7701, decode.d5.loss_mask: 0.7463, decode.d5.loss_dice: 1.0607, decode.d6.loss_cls: 0.7571, decode.d6.loss_mask: 0.7440, decode.d6.loss_dice: 1.0538, decode.d7.loss_cls: 0.7405, decode.d7.loss_mask: 0.7429, decode.d7.loss_dice: 1.0557, decode.d8.loss_cls: 0.7438, decode.d8.loss_mask: 0.7422, decode.d8.loss_dice: 1.0549, loss: 28.7353 2022-06-21 19:32:16,618 - mmseg - INFO - Iter [38050/40000] lr: 7.511e-07, eta: 0:17:39, time: 0.499, data_time: 0.008, memory: 40943, decode.loss_cls: 0.7468, decode.loss_mask: 0.7655, decode.loss_dice: 1.0630, decode.d0.loss_cls: 3.0023, decode.d0.loss_mask: 0.8229, decode.d0.loss_dice: 1.2425, decode.d1.loss_cls: 1.0965, decode.d1.loss_mask: 0.7980, decode.d1.loss_dice: 1.1319, decode.d2.loss_cls: 0.9228, decode.d2.loss_mask: 0.7841, decode.d2.loss_dice: 1.0895, decode.d3.loss_cls: 0.8504, decode.d3.loss_mask: 0.7749, decode.d3.loss_dice: 1.0729, decode.d4.loss_cls: 0.8197, decode.d4.loss_mask: 0.7734, decode.d4.loss_dice: 1.0716, decode.d5.loss_cls: 0.7988, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.0671, decode.d6.loss_cls: 0.7792, decode.d6.loss_mask: 0.7676, decode.d6.loss_dice: 1.0628, decode.d7.loss_cls: 0.7646, decode.d7.loss_mask: 0.7646, decode.d7.loss_dice: 1.0620, decode.d8.loss_cls: 0.7578, decode.d8.loss_mask: 0.7656, decode.d8.loss_dice: 1.0645, loss: 29.2528 2022-06-21 19:32:41,621 - mmseg - INFO - Iter [38100/40000] lr: 7.319e-07, eta: 0:17:12, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7279, decode.loss_mask: 0.7474, decode.loss_dice: 1.0679, decode.d0.loss_cls: 2.9328, decode.d0.loss_mask: 0.8007, decode.d0.loss_dice: 1.2313, decode.d1.loss_cls: 1.0560, decode.d1.loss_mask: 0.7748, decode.d1.loss_dice: 1.1444, decode.d2.loss_cls: 0.8810, decode.d2.loss_mask: 0.7524, decode.d2.loss_dice: 1.0865, decode.d3.loss_cls: 0.8105, decode.d3.loss_mask: 0.7482, decode.d3.loss_dice: 1.0769, decode.d4.loss_cls: 0.7779, decode.d4.loss_mask: 0.7472, decode.d4.loss_dice: 1.0736, decode.d5.loss_cls: 0.7616, decode.d5.loss_mask: 0.7440, decode.d5.loss_dice: 1.0713, decode.d6.loss_cls: 0.7464, decode.d6.loss_mask: 0.7459, decode.d6.loss_dice: 1.0638, decode.d7.loss_cls: 0.7398, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.0667, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7455, decode.d8.loss_dice: 1.0699, loss: 28.6695 2022-06-21 19:33:06,474 - mmseg - INFO - Iter [38150/40000] lr: 7.126e-07, eta: 0:16:44, time: 0.497, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6694, decode.loss_mask: 0.7742, decode.loss_dice: 1.0272, decode.d0.loss_cls: 2.8668, decode.d0.loss_mask: 0.8264, decode.d0.loss_dice: 1.1823, decode.d1.loss_cls: 1.0027, decode.d1.loss_mask: 0.8034, decode.d1.loss_dice: 1.1001, decode.d2.loss_cls: 0.8188, decode.d2.loss_mask: 0.7845, decode.d2.loss_dice: 1.0543, decode.d3.loss_cls: 0.7493, decode.d3.loss_mask: 0.7769, decode.d3.loss_dice: 1.0372, decode.d4.loss_cls: 0.7159, decode.d4.loss_mask: 0.7784, decode.d4.loss_dice: 1.0373, decode.d5.loss_cls: 0.7022, decode.d5.loss_mask: 0.7747, decode.d5.loss_dice: 1.0310, decode.d6.loss_cls: 0.6906, decode.d6.loss_mask: 0.7751, decode.d6.loss_dice: 1.0295, decode.d7.loss_cls: 0.6695, decode.d7.loss_mask: 0.7805, decode.d7.loss_dice: 1.0345, decode.d8.loss_cls: 0.6684, decode.d8.loss_mask: 0.7784, decode.d8.loss_dice: 1.0268, loss: 27.9664 2022-06-21 19:33:31,809 - mmseg - INFO - Iter [38200/40000] lr: 6.934e-07, eta: 0:16:17, time: 0.507, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6834, decode.loss_mask: 0.7492, decode.loss_dice: 1.0391, decode.d0.loss_cls: 2.9173, decode.d0.loss_mask: 0.7944, decode.d0.loss_dice: 1.1962, decode.d1.loss_cls: 1.0085, decode.d1.loss_mask: 0.7778, decode.d1.loss_dice: 1.1117, decode.d2.loss_cls: 0.8319, decode.d2.loss_mask: 0.7608, decode.d2.loss_dice: 1.0642, decode.d3.loss_cls: 0.7580, decode.d3.loss_mask: 0.7533, decode.d3.loss_dice: 1.0464, decode.d4.loss_cls: 0.7316, decode.d4.loss_mask: 0.7526, decode.d4.loss_dice: 1.0497, decode.d5.loss_cls: 0.7082, decode.d5.loss_mask: 0.7503, decode.d5.loss_dice: 1.0454, decode.d6.loss_cls: 0.7015, decode.d6.loss_mask: 0.7512, decode.d6.loss_dice: 1.0375, decode.d7.loss_cls: 0.6886, decode.d7.loss_mask: 0.7509, decode.d7.loss_dice: 1.0361, decode.d8.loss_cls: 0.6882, decode.d8.loss_mask: 0.7510, decode.d8.loss_dice: 1.0373, loss: 27.9723 2022-06-21 19:33:59,067 - mmseg - INFO - Iter [38250/40000] lr: 6.741e-07, eta: 0:15:50, time: 0.545, data_time: 0.057, memory: 40943, decode.loss_cls: 0.6831, decode.loss_mask: 0.7710, decode.loss_dice: 1.0633, decode.d0.loss_cls: 2.9747, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.2176, decode.d1.loss_cls: 1.0287, decode.d1.loss_mask: 0.7978, decode.d1.loss_dice: 1.1305, decode.d2.loss_cls: 0.8371, decode.d2.loss_mask: 0.7793, decode.d2.loss_dice: 1.0865, decode.d3.loss_cls: 0.7630, decode.d3.loss_mask: 0.7741, decode.d3.loss_dice: 1.0739, decode.d4.loss_cls: 0.7392, decode.d4.loss_mask: 0.7728, decode.d4.loss_dice: 1.0713, decode.d5.loss_cls: 0.7149, decode.d5.loss_mask: 0.7699, decode.d5.loss_dice: 1.0701, decode.d6.loss_cls: 0.7104, decode.d6.loss_mask: 0.7726, decode.d6.loss_dice: 1.0670, decode.d7.loss_cls: 0.6997, decode.d7.loss_mask: 0.7718, decode.d7.loss_dice: 1.0663, decode.d8.loss_cls: 0.6838, decode.d8.loss_mask: 0.7740, decode.d8.loss_dice: 1.0671, loss: 28.5457 2022-06-21 19:34:23,838 - mmseg - INFO - Iter [38300/40000] lr: 6.549e-07, eta: 0:15:23, time: 0.495, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7022, decode.loss_mask: 0.7397, decode.loss_dice: 1.0461, decode.d0.loss_cls: 2.9362, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.2106, decode.d1.loss_cls: 1.0219, decode.d1.loss_mask: 0.7739, decode.d1.loss_dice: 1.1201, decode.d2.loss_cls: 0.8483, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.0790, decode.d3.loss_cls: 0.7847, decode.d3.loss_mask: 0.7515, decode.d3.loss_dice: 1.0613, decode.d4.loss_cls: 0.7668, decode.d4.loss_mask: 0.7476, decode.d4.loss_dice: 1.0633, decode.d5.loss_cls: 0.7285, decode.d5.loss_mask: 0.7454, decode.d5.loss_dice: 1.0560, decode.d6.loss_cls: 0.7185, decode.d6.loss_mask: 0.7438, decode.d6.loss_dice: 1.0495, decode.d7.loss_cls: 0.7107, decode.d7.loss_mask: 0.7418, decode.d7.loss_dice: 1.0493, decode.d8.loss_cls: 0.6990, decode.d8.loss_mask: 0.7429, decode.d8.loss_dice: 1.0513, loss: 28.2327 2022-06-21 19:34:49,846 - mmseg - INFO - Iter [38350/40000] lr: 6.356e-07, eta: 0:14:56, time: 0.520, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7677, decode.loss_mask: 0.7480, decode.loss_dice: 1.0861, decode.d0.loss_cls: 3.0069, decode.d0.loss_mask: 0.8018, decode.d0.loss_dice: 1.2650, decode.d1.loss_cls: 1.0921, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.1533, decode.d2.loss_cls: 0.9253, decode.d2.loss_mask: 0.7572, decode.d2.loss_dice: 1.1080, decode.d3.loss_cls: 0.8477, decode.d3.loss_mask: 0.7564, decode.d3.loss_dice: 1.0975, decode.d4.loss_cls: 0.8210, decode.d4.loss_mask: 0.7541, decode.d4.loss_dice: 1.1002, decode.d5.loss_cls: 0.8034, decode.d5.loss_mask: 0.7502, decode.d5.loss_dice: 1.0943, decode.d6.loss_cls: 0.7861, decode.d6.loss_mask: 0.7503, decode.d6.loss_dice: 1.0869, decode.d7.loss_cls: 0.7739, decode.d7.loss_mask: 0.7504, decode.d7.loss_dice: 1.0915, decode.d8.loss_cls: 0.7625, decode.d8.loss_mask: 0.7488, decode.d8.loss_dice: 1.0895, loss: 29.3551 2022-06-21 19:35:15,601 - mmseg - INFO - Iter [38400/40000] lr: 6.164e-07, eta: 0:14:28, time: 0.514, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7777, decode.loss_mask: 0.7294, decode.loss_dice: 1.0762, decode.d0.loss_cls: 3.0603, decode.d0.loss_mask: 0.7811, decode.d0.loss_dice: 1.2613, decode.d1.loss_cls: 1.1148, decode.d1.loss_mask: 0.7571, decode.d1.loss_dice: 1.1468, decode.d2.loss_cls: 0.9352, decode.d2.loss_mask: 0.7420, decode.d2.loss_dice: 1.1028, decode.d3.loss_cls: 0.8611, decode.d3.loss_mask: 0.7358, decode.d3.loss_dice: 1.0933, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.7329, decode.d4.loss_dice: 1.0866, decode.d5.loss_cls: 0.8155, decode.d5.loss_mask: 0.7287, decode.d5.loss_dice: 1.0827, decode.d6.loss_cls: 0.7973, decode.d6.loss_mask: 0.7280, decode.d6.loss_dice: 1.0737, decode.d7.loss_cls: 0.7826, decode.d7.loss_mask: 0.7287, decode.d7.loss_dice: 1.0768, decode.d8.loss_cls: 0.7835, decode.d8.loss_mask: 0.7287, decode.d8.loss_dice: 1.0752, loss: 29.2272 2022-06-21 19:35:41,012 - mmseg - INFO - Iter [38450/40000] lr: 5.971e-07, eta: 0:14:01, time: 0.508, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6934, decode.loss_mask: 0.7766, decode.loss_dice: 1.0521, decode.d0.loss_cls: 2.9642, decode.d0.loss_mask: 0.8335, decode.d0.loss_dice: 1.2181, decode.d1.loss_cls: 1.0265, decode.d1.loss_mask: 0.8061, decode.d1.loss_dice: 1.1135, decode.d2.loss_cls: 0.8514, decode.d2.loss_mask: 0.7911, decode.d2.loss_dice: 1.0721, decode.d3.loss_cls: 0.7811, decode.d3.loss_mask: 0.7849, decode.d3.loss_dice: 1.0621, decode.d4.loss_cls: 0.7451, decode.d4.loss_mask: 0.7849, decode.d4.loss_dice: 1.0598, decode.d5.loss_cls: 0.7267, decode.d5.loss_mask: 0.7808, decode.d5.loss_dice: 1.0536, decode.d6.loss_cls: 0.7202, decode.d6.loss_mask: 0.7811, decode.d6.loss_dice: 1.0512, decode.d7.loss_cls: 0.6976, decode.d7.loss_mask: 0.7785, decode.d7.loss_dice: 1.0541, decode.d8.loss_cls: 0.7004, decode.d8.loss_mask: 0.7765, decode.d8.loss_dice: 1.0533, loss: 28.5904 2022-06-21 19:36:07,843 - mmseg - INFO - Iter [38500/40000] lr: 5.779e-07, eta: 0:13:34, time: 0.537, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7293, decode.loss_mask: 0.7276, decode.loss_dice: 1.0349, decode.d0.loss_cls: 2.9652, decode.d0.loss_mask: 0.7859, decode.d0.loss_dice: 1.2166, decode.d1.loss_cls: 1.0449, decode.d1.loss_mask: 0.7576, decode.d1.loss_dice: 1.1088, decode.d2.loss_cls: 0.8646, decode.d2.loss_mask: 0.7437, decode.d2.loss_dice: 1.0741, decode.d3.loss_cls: 0.8123, decode.d3.loss_mask: 0.7361, decode.d3.loss_dice: 1.0534, decode.d4.loss_cls: 0.7836, decode.d4.loss_mask: 0.7343, decode.d4.loss_dice: 1.0525, decode.d5.loss_cls: 0.7623, decode.d5.loss_mask: 0.7333, decode.d5.loss_dice: 1.0484, decode.d6.loss_cls: 0.7392, decode.d6.loss_mask: 0.7354, decode.d6.loss_dice: 1.0393, decode.d7.loss_cls: 0.7274, decode.d7.loss_mask: 0.7337, decode.d7.loss_dice: 1.0427, decode.d8.loss_cls: 0.7331, decode.d8.loss_mask: 0.7244, decode.d8.loss_dice: 1.0413, loss: 28.2859 2022-06-21 19:36:34,311 - mmseg - INFO - Iter [38550/40000] lr: 5.586e-07, eta: 0:13:07, time: 0.530, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7602, decode.loss_mask: 0.7224, decode.loss_dice: 1.0588, decode.d0.loss_cls: 3.0365, decode.d0.loss_mask: 0.7763, decode.d0.loss_dice: 1.2300, decode.d1.loss_cls: 1.0906, decode.d1.loss_mask: 0.7489, decode.d1.loss_dice: 1.1265, decode.d2.loss_cls: 0.9149, decode.d2.loss_mask: 0.7305, decode.d2.loss_dice: 1.0825, decode.d3.loss_cls: 0.8406, decode.d3.loss_mask: 0.7281, decode.d3.loss_dice: 1.0666, decode.d4.loss_cls: 0.8183, decode.d4.loss_mask: 0.7230, decode.d4.loss_dice: 1.0669, decode.d5.loss_cls: 0.7933, decode.d5.loss_mask: 0.7212, decode.d5.loss_dice: 1.0631, decode.d6.loss_cls: 0.7731, decode.d6.loss_mask: 0.7274, decode.d6.loss_dice: 1.0603, decode.d7.loss_cls: 0.7620, decode.d7.loss_mask: 0.7209, decode.d7.loss_dice: 1.0587, decode.d8.loss_cls: 0.7547, decode.d8.loss_mask: 0.7225, decode.d8.loss_dice: 1.0631, loss: 28.7419 2022-06-21 19:37:01,187 - mmseg - INFO - Iter [38600/40000] lr: 5.394e-07, eta: 0:12:40, time: 0.538, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6649, decode.loss_mask: 0.7594, decode.loss_dice: 1.0382, decode.d0.loss_cls: 2.8682, decode.d0.loss_mask: 0.8054, decode.d0.loss_dice: 1.1912, decode.d1.loss_cls: 0.9759, decode.d1.loss_mask: 0.7893, decode.d1.loss_dice: 1.1046, decode.d2.loss_cls: 0.7996, decode.d2.loss_mask: 0.7725, decode.d2.loss_dice: 1.0629, decode.d3.loss_cls: 0.7461, decode.d3.loss_mask: 0.7644, decode.d3.loss_dice: 1.0499, decode.d4.loss_cls: 0.7106, decode.d4.loss_mask: 0.7635, decode.d4.loss_dice: 1.0482, decode.d5.loss_cls: 0.6881, decode.d5.loss_mask: 0.7628, decode.d5.loss_dice: 1.0472, decode.d6.loss_cls: 0.6754, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.0403, decode.d7.loss_cls: 0.6699, decode.d7.loss_mask: 0.7608, decode.d7.loss_dice: 1.0418, decode.d8.loss_cls: 0.6697, decode.d8.loss_mask: 0.7573, decode.d8.loss_dice: 1.0401, loss: 27.8291 2022-06-21 19:37:26,504 - mmseg - INFO - Iter [38650/40000] lr: 5.201e-07, eta: 0:12:12, time: 0.506, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7115, decode.loss_mask: 0.7370, decode.loss_dice: 1.0507, decode.d0.loss_cls: 2.9401, decode.d0.loss_mask: 0.7896, decode.d0.loss_dice: 1.2283, decode.d1.loss_cls: 1.0459, decode.d1.loss_mask: 0.7674, decode.d1.loss_dice: 1.1229, decode.d2.loss_cls: 0.8861, decode.d2.loss_mask: 0.7507, decode.d2.loss_dice: 1.0781, decode.d3.loss_cls: 0.8023, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.0680, decode.d4.loss_cls: 0.7747, decode.d4.loss_mask: 0.7398, decode.d4.loss_dice: 1.0638, decode.d5.loss_cls: 0.7508, decode.d5.loss_mask: 0.7394, decode.d5.loss_dice: 1.0662, decode.d6.loss_cls: 0.7356, decode.d6.loss_mask: 0.7397, decode.d6.loss_dice: 1.0523, decode.d7.loss_cls: 0.7215, decode.d7.loss_mask: 0.7405, decode.d7.loss_dice: 1.0556, decode.d8.loss_cls: 0.7190, decode.d8.loss_mask: 0.7369, decode.d8.loss_dice: 1.0510, loss: 28.4159 2022-06-21 19:37:52,244 - mmseg - INFO - Iter [38700/40000] lr: 5.009e-07, eta: 0:11:45, time: 0.515, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7139, decode.loss_mask: 0.7476, decode.loss_dice: 1.0527, decode.d0.loss_cls: 2.9915, decode.d0.loss_mask: 0.8000, decode.d0.loss_dice: 1.2257, decode.d1.loss_cls: 1.0530, decode.d1.loss_mask: 0.7826, decode.d1.loss_dice: 1.1296, decode.d2.loss_cls: 0.8629, decode.d2.loss_mask: 0.7617, decode.d2.loss_dice: 1.0855, decode.d3.loss_cls: 0.7908, decode.d3.loss_mask: 0.7576, decode.d3.loss_dice: 1.0657, decode.d4.loss_cls: 0.7652, decode.d4.loss_mask: 0.7552, decode.d4.loss_dice: 1.0662, decode.d5.loss_cls: 0.7493, decode.d5.loss_mask: 0.7516, decode.d5.loss_dice: 1.0623, decode.d6.loss_cls: 0.7295, decode.d6.loss_mask: 0.7484, decode.d6.loss_dice: 1.0558, decode.d7.loss_cls: 0.7222, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.0529, decode.d8.loss_cls: 0.7152, decode.d8.loss_mask: 0.7487, decode.d8.loss_dice: 1.0531, loss: 28.5451 2022-06-21 19:38:17,868 - mmseg - INFO - Iter [38750/40000] lr: 4.816e-07, eta: 0:11:18, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6850, decode.loss_mask: 0.7717, decode.loss_dice: 1.0470, decode.d0.loss_cls: 2.8877, decode.d0.loss_mask: 0.8253, decode.d0.loss_dice: 1.1962, decode.d1.loss_cls: 1.0051, decode.d1.loss_mask: 0.8070, decode.d1.loss_dice: 1.1130, decode.d2.loss_cls: 0.8384, decode.d2.loss_mask: 0.7840, decode.d2.loss_dice: 1.0658, decode.d3.loss_cls: 0.7682, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.0539, decode.d4.loss_cls: 0.7401, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.0590, decode.d5.loss_cls: 0.7263, decode.d5.loss_mask: 0.7799, decode.d5.loss_dice: 1.0537, decode.d6.loss_cls: 0.7091, decode.d6.loss_mask: 0.7781, decode.d6.loss_dice: 1.0450, decode.d7.loss_cls: 0.6948, decode.d7.loss_mask: 0.7743, decode.d7.loss_dice: 1.0506, decode.d8.loss_cls: 0.6980, decode.d8.loss_mask: 0.7725, decode.d8.loss_dice: 1.0445, loss: 28.3408 2022-06-21 19:38:45,571 - mmseg - INFO - Iter [38800/40000] lr: 4.624e-07, eta: 0:10:51, time: 0.554, data_time: 0.058, memory: 40943, decode.loss_cls: 0.7577, decode.loss_mask: 0.7838, decode.loss_dice: 1.0943, decode.d0.loss_cls: 3.0028, decode.d0.loss_mask: 0.8402, decode.d0.loss_dice: 1.2623, decode.d1.loss_cls: 1.0920, decode.d1.loss_mask: 0.8098, decode.d1.loss_dice: 1.1684, decode.d2.loss_cls: 0.9102, decode.d2.loss_mask: 0.8013, decode.d2.loss_dice: 1.1272, decode.d3.loss_cls: 0.8423, decode.d3.loss_mask: 0.7998, decode.d3.loss_dice: 1.1072, decode.d4.loss_cls: 0.8159, decode.d4.loss_mask: 0.7915, decode.d4.loss_dice: 1.1031, decode.d5.loss_cls: 0.7942, decode.d5.loss_mask: 0.7886, decode.d5.loss_dice: 1.1008, decode.d6.loss_cls: 0.7815, decode.d6.loss_mask: 0.7881, decode.d6.loss_dice: 1.0893, decode.d7.loss_cls: 0.7667, decode.d7.loss_mask: 0.7831, decode.d7.loss_dice: 1.0929, decode.d8.loss_cls: 0.7598, decode.d8.loss_mask: 0.7823, decode.d8.loss_dice: 1.0952, loss: 29.7325 2022-06-21 19:39:10,620 - mmseg - INFO - Iter [38850/40000] lr: 4.431e-07, eta: 0:10:24, time: 0.501, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7270, decode.loss_mask: 0.7276, decode.loss_dice: 1.0435, decode.d0.loss_cls: 2.9643, decode.d0.loss_mask: 0.7892, decode.d0.loss_dice: 1.2168, decode.d1.loss_cls: 1.0845, decode.d1.loss_mask: 0.7588, decode.d1.loss_dice: 1.1144, decode.d2.loss_cls: 0.9003, decode.d2.loss_mask: 0.7416, decode.d2.loss_dice: 1.0662, decode.d3.loss_cls: 0.8241, decode.d3.loss_mask: 0.7370, decode.d3.loss_dice: 1.0469, decode.d4.loss_cls: 0.7960, decode.d4.loss_mask: 0.7297, decode.d4.loss_dice: 1.0520, decode.d5.loss_cls: 0.7712, decode.d5.loss_mask: 0.7333, decode.d5.loss_dice: 1.0490, decode.d6.loss_cls: 0.7474, decode.d6.loss_mask: 0.7301, decode.d6.loss_dice: 1.0492, decode.d7.loss_cls: 0.7447, decode.d7.loss_mask: 0.7288, decode.d7.loss_dice: 1.0458, decode.d8.loss_cls: 0.7384, decode.d8.loss_mask: 0.7270, decode.d8.loss_dice: 1.0451, loss: 28.4301 2022-06-21 19:39:35,864 - mmseg - INFO - Iter [38900/40000] lr: 4.239e-07, eta: 0:09:56, time: 0.506, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7217, decode.loss_mask: 0.7478, decode.loss_dice: 1.0545, decode.d0.loss_cls: 2.9612, decode.d0.loss_mask: 0.8038, decode.d0.loss_dice: 1.2182, decode.d1.loss_cls: 1.0471, decode.d1.loss_mask: 0.7790, decode.d1.loss_dice: 1.1296, decode.d2.loss_cls: 0.8770, decode.d2.loss_mask: 0.7579, decode.d2.loss_dice: 1.0807, decode.d3.loss_cls: 0.8088, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.0653, decode.d4.loss_cls: 0.7820, decode.d4.loss_mask: 0.7516, decode.d4.loss_dice: 1.0637, decode.d5.loss_cls: 0.7622, decode.d5.loss_mask: 0.7518, decode.d5.loss_dice: 1.0642, decode.d6.loss_cls: 0.7519, decode.d6.loss_mask: 0.7495, decode.d6.loss_dice: 1.0613, decode.d7.loss_cls: 0.7402, decode.d7.loss_mask: 0.7462, decode.d7.loss_dice: 1.0550, decode.d8.loss_cls: 0.7271, decode.d8.loss_mask: 0.7468, decode.d8.loss_dice: 1.0597, loss: 28.6197 2022-06-21 19:40:01,233 - mmseg - INFO - Iter [38950/40000] lr: 4.046e-07, eta: 0:09:29, time: 0.507, data_time: 0.012, memory: 40943, decode.loss_cls: 0.7285, decode.loss_mask: 0.7482, decode.loss_dice: 1.0624, decode.d0.loss_cls: 2.9820, decode.d0.loss_mask: 0.8022, decode.d0.loss_dice: 1.2348, decode.d1.loss_cls: 1.0569, decode.d1.loss_mask: 0.7806, decode.d1.loss_dice: 1.1309, decode.d2.loss_cls: 0.8721, decode.d2.loss_mask: 0.7667, decode.d2.loss_dice: 1.0885, decode.d3.loss_cls: 0.8095, decode.d3.loss_mask: 0.7604, decode.d3.loss_dice: 1.0713, decode.d4.loss_cls: 0.7814, decode.d4.loss_mask: 0.7551, decode.d4.loss_dice: 1.0755, decode.d5.loss_cls: 0.7592, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.0734, decode.d6.loss_cls: 0.7466, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.0659, decode.d7.loss_cls: 0.7350, decode.d7.loss_mask: 0.7501, decode.d7.loss_dice: 1.0675, decode.d8.loss_cls: 0.7333, decode.d8.loss_mask: 0.7489, decode.d8.loss_dice: 1.0658, loss: 28.7611 2022-06-21 19:40:25,810 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-06-21 19:40:31,630 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:40:31,630 - mmseg - INFO - Iter [39000/40000] lr: 3.854e-07, eta: 0:09:02, time: 0.608, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7471, decode.loss_mask: 0.7404, decode.loss_dice: 1.0514, decode.d0.loss_cls: 3.0347, decode.d0.loss_mask: 0.8002, decode.d0.loss_dice: 1.2414, decode.d1.loss_cls: 1.1174, decode.d1.loss_mask: 0.7656, decode.d1.loss_dice: 1.1316, decode.d2.loss_cls: 0.9062, decode.d2.loss_mask: 0.7510, decode.d2.loss_dice: 1.0784, decode.d3.loss_cls: 0.8329, decode.d3.loss_mask: 0.7490, decode.d3.loss_dice: 1.0624, decode.d4.loss_cls: 0.8131, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.0594, decode.d5.loss_cls: 0.7927, decode.d5.loss_mask: 0.7455, decode.d5.loss_dice: 1.0535, decode.d6.loss_cls: 0.7826, decode.d6.loss_mask: 0.7412, decode.d6.loss_dice: 1.0512, decode.d7.loss_cls: 0.7679, decode.d7.loss_mask: 0.7413, decode.d7.loss_dice: 1.0533, decode.d8.loss_cls: 0.7508, decode.d8.loss_mask: 0.7423, decode.d8.loss_dice: 1.0509, loss: 28.9040 2022-06-21 19:40:58,988 - mmseg - INFO - Iter [39050/40000] lr: 3.661e-07, eta: 0:08:35, time: 0.547, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6813, decode.loss_mask: 0.7320, decode.loss_dice: 1.0453, decode.d0.loss_cls: 2.9106, decode.d0.loss_mask: 0.7891, decode.d0.loss_dice: 1.2006, decode.d1.loss_cls: 1.0141, decode.d1.loss_mask: 0.7684, decode.d1.loss_dice: 1.1058, decode.d2.loss_cls: 0.8300, decode.d2.loss_mask: 0.7530, decode.d2.loss_dice: 1.0746, decode.d3.loss_cls: 0.7644, decode.d3.loss_mask: 0.7408, decode.d3.loss_dice: 1.0523, decode.d4.loss_cls: 0.7321, decode.d4.loss_mask: 0.7392, decode.d4.loss_dice: 1.0597, decode.d5.loss_cls: 0.7159, decode.d5.loss_mask: 0.7378, decode.d5.loss_dice: 1.0545, decode.d6.loss_cls: 0.6982, decode.d6.loss_mask: 0.7359, decode.d6.loss_dice: 1.0469, decode.d7.loss_cls: 0.6826, decode.d7.loss_mask: 0.7367, decode.d7.loss_dice: 1.0549, decode.d8.loss_cls: 0.6826, decode.d8.loss_mask: 0.7339, decode.d8.loss_dice: 1.0502, loss: 27.9235 2022-06-21 19:41:26,179 - mmseg - INFO - Iter [39100/40000] lr: 3.469e-07, eta: 0:08:08, time: 0.544, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6993, decode.loss_mask: 0.7525, decode.loss_dice: 1.0365, decode.d0.loss_cls: 2.9772, decode.d0.loss_mask: 0.8049, decode.d0.loss_dice: 1.1979, decode.d1.loss_cls: 1.0209, decode.d1.loss_mask: 0.7855, decode.d1.loss_dice: 1.1019, decode.d2.loss_cls: 0.8479, decode.d2.loss_mask: 0.7645, decode.d2.loss_dice: 1.0577, decode.d3.loss_cls: 0.7821, decode.d3.loss_mask: 0.7603, decode.d3.loss_dice: 1.0435, decode.d4.loss_cls: 0.7436, decode.d4.loss_mask: 0.7616, decode.d4.loss_dice: 1.0471, decode.d5.loss_cls: 0.7259, decode.d5.loss_mask: 0.7611, decode.d5.loss_dice: 1.0442, decode.d6.loss_cls: 0.7142, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.0387, decode.d7.loss_cls: 0.7105, decode.d7.loss_mask: 0.7570, decode.d7.loss_dice: 1.0364, decode.d8.loss_cls: 0.6897, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.0376, loss: 28.2180 2022-06-21 19:41:55,655 - mmseg - INFO - Iter [39150/40000] lr: 3.276e-07, eta: 0:07:41, time: 0.589, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7454, decode.loss_mask: 0.7591, decode.loss_dice: 1.0712, decode.d0.loss_cls: 3.0055, decode.d0.loss_mask: 0.8017, decode.d0.loss_dice: 1.2416, decode.d1.loss_cls: 1.0815, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.1433, decode.d2.loss_cls: 0.9155, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.0990, decode.d3.loss_cls: 0.8305, decode.d3.loss_mask: 0.7651, decode.d3.loss_dice: 1.0772, decode.d4.loss_cls: 0.8080, decode.d4.loss_mask: 0.7597, decode.d4.loss_dice: 1.0781, decode.d5.loss_cls: 0.7794, decode.d5.loss_mask: 0.7591, decode.d5.loss_dice: 1.0768, decode.d6.loss_cls: 0.7557, decode.d6.loss_mask: 0.7643, decode.d6.loss_dice: 1.0715, decode.d7.loss_cls: 0.7491, decode.d7.loss_mask: 0.7592, decode.d7.loss_dice: 1.0729, decode.d8.loss_cls: 0.7493, decode.d8.loss_mask: 0.7615, decode.d8.loss_dice: 1.0685, loss: 29.1009 2022-06-21 19:42:23,465 - mmseg - INFO - Iter [39200/40000] lr: 3.084e-07, eta: 0:07:14, time: 0.557, data_time: 0.012, memory: 40943, decode.loss_cls: 0.7612, decode.loss_mask: 0.7535, decode.loss_dice: 1.0773, decode.d0.loss_cls: 3.0331, decode.d0.loss_mask: 0.8083, decode.d0.loss_dice: 1.2512, decode.d1.loss_cls: 1.1000, decode.d1.loss_mask: 0.7890, decode.d1.loss_dice: 1.1506, decode.d2.loss_cls: 0.9240, decode.d2.loss_mask: 0.7680, decode.d2.loss_dice: 1.1029, decode.d3.loss_cls: 0.8624, decode.d3.loss_mask: 0.7606, decode.d3.loss_dice: 1.0806, decode.d4.loss_cls: 0.8316, decode.d4.loss_mask: 0.7581, decode.d4.loss_dice: 1.0822, decode.d5.loss_cls: 0.8072, decode.d5.loss_mask: 0.7578, decode.d5.loss_dice: 1.0844, decode.d6.loss_cls: 0.7860, decode.d6.loss_mask: 0.7562, decode.d6.loss_dice: 1.0743, decode.d7.loss_cls: 0.7782, decode.d7.loss_mask: 0.7539, decode.d7.loss_dice: 1.0748, decode.d8.loss_cls: 0.7653, decode.d8.loss_mask: 0.7556, decode.d8.loss_dice: 1.0787, loss: 29.3669 2022-06-21 19:42:52,413 - mmseg - INFO - Iter [39250/40000] lr: 2.891e-07, eta: 0:06:47, time: 0.578, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6978, decode.loss_mask: 0.7464, decode.loss_dice: 1.0647, decode.d0.loss_cls: 2.9476, decode.d0.loss_mask: 0.7987, decode.d0.loss_dice: 1.2244, decode.d1.loss_cls: 1.0330, decode.d1.loss_mask: 0.7780, decode.d1.loss_dice: 1.1256, decode.d2.loss_cls: 0.8565, decode.d2.loss_mask: 0.7606, decode.d2.loss_dice: 1.0910, decode.d3.loss_cls: 0.7792, decode.d3.loss_mask: 0.7562, decode.d3.loss_dice: 1.0785, decode.d4.loss_cls: 0.7548, decode.d4.loss_mask: 0.7555, decode.d4.loss_dice: 1.0732, decode.d5.loss_cls: 0.7328, decode.d5.loss_mask: 0.7522, decode.d5.loss_dice: 1.0695, decode.d6.loss_cls: 0.7093, decode.d6.loss_mask: 0.7526, decode.d6.loss_dice: 1.0715, decode.d7.loss_cls: 0.7046, decode.d7.loss_mask: 0.7520, decode.d7.loss_dice: 1.0689, decode.d8.loss_cls: 0.7078, decode.d8.loss_mask: 0.7480, decode.d8.loss_dice: 1.0640, loss: 28.4548 2022-06-21 19:43:21,463 - mmseg - INFO - Iter [39300/40000] lr: 2.699e-07, eta: 0:06:20, time: 0.581, data_time: 0.011, memory: 40943, decode.loss_cls: 0.7108, decode.loss_mask: 0.7485, decode.loss_dice: 1.0355, decode.d0.loss_cls: 2.9241, decode.d0.loss_mask: 0.8061, decode.d0.loss_dice: 1.1986, decode.d1.loss_cls: 1.0193, decode.d1.loss_mask: 0.7831, decode.d1.loss_dice: 1.0999, decode.d2.loss_cls: 0.8726, decode.d2.loss_mask: 0.7611, decode.d2.loss_dice: 1.0584, decode.d3.loss_cls: 0.8021, decode.d3.loss_mask: 0.7529, decode.d3.loss_dice: 1.0434, decode.d4.loss_cls: 0.7626, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.0474, decode.d5.loss_cls: 0.7383, decode.d5.loss_mask: 0.7514, decode.d5.loss_dice: 1.0424, decode.d6.loss_cls: 0.7240, decode.d6.loss_mask: 0.7508, decode.d6.loss_dice: 1.0353, decode.d7.loss_cls: 0.7106, decode.d7.loss_mask: 0.7525, decode.d7.loss_dice: 1.0388, decode.d8.loss_cls: 0.7022, decode.d8.loss_mask: 0.7502, decode.d8.loss_dice: 1.0337, loss: 28.2103 2022-06-21 19:43:52,230 - mmseg - INFO - Iter [39350/40000] lr: 2.506e-07, eta: 0:05:52, time: 0.615, data_time: 0.057, memory: 40943, decode.loss_cls: 0.7062, decode.loss_mask: 0.7325, decode.loss_dice: 1.0614, decode.d0.loss_cls: 2.9871, decode.d0.loss_mask: 0.7893, decode.d0.loss_dice: 1.2327, decode.d1.loss_cls: 1.0429, decode.d1.loss_mask: 0.7649, decode.d1.loss_dice: 1.1394, decode.d2.loss_cls: 0.8773, decode.d2.loss_mask: 0.7456, decode.d2.loss_dice: 1.0883, decode.d3.loss_cls: 0.7968, decode.d3.loss_mask: 0.7397, decode.d3.loss_dice: 1.0763, decode.d4.loss_cls: 0.7718, decode.d4.loss_mask: 0.7364, decode.d4.loss_dice: 1.0706, decode.d5.loss_cls: 0.7483, decode.d5.loss_mask: 0.7340, decode.d5.loss_dice: 1.0691, decode.d6.loss_cls: 0.7290, decode.d6.loss_mask: 0.7347, decode.d6.loss_dice: 1.0599, decode.d7.loss_cls: 0.7217, decode.d7.loss_mask: 0.7354, decode.d7.loss_dice: 1.0706, decode.d8.loss_cls: 0.7153, decode.d8.loss_mask: 0.7344, decode.d8.loss_dice: 1.0673, loss: 28.4786 2022-06-21 19:44:18,244 - mmseg - INFO - Iter [39400/40000] lr: 2.314e-07, eta: 0:05:25, time: 0.521, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7215, decode.loss_mask: 0.7305, decode.loss_dice: 1.0788, decode.d0.loss_cls: 2.9917, decode.d0.loss_mask: 0.7851, decode.d0.loss_dice: 1.2434, decode.d1.loss_cls: 1.0599, decode.d1.loss_mask: 0.7655, decode.d1.loss_dice: 1.1410, decode.d2.loss_cls: 0.8856, decode.d2.loss_mask: 0.7414, decode.d2.loss_dice: 1.1062, decode.d3.loss_cls: 0.8095, decode.d3.loss_mask: 0.7401, decode.d3.loss_dice: 1.0945, decode.d4.loss_cls: 0.7872, decode.d4.loss_mask: 0.7383, decode.d4.loss_dice: 1.0885, decode.d5.loss_cls: 0.7645, decode.d5.loss_mask: 0.7322, decode.d5.loss_dice: 1.0797, decode.d6.loss_cls: 0.7458, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.0786, decode.d7.loss_cls: 0.7312, decode.d7.loss_mask: 0.7312, decode.d7.loss_dice: 1.0747, decode.d8.loss_cls: 0.7270, decode.d8.loss_mask: 0.7331, decode.d8.loss_dice: 1.0746, loss: 28.7145 2022-06-21 19:44:43,788 - mmseg - INFO - Iter [39450/40000] lr: 2.121e-07, eta: 0:04:58, time: 0.511, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7140, decode.loss_mask: 0.7289, decode.loss_dice: 1.0622, decode.d0.loss_cls: 2.9855, decode.d0.loss_mask: 0.7891, decode.d0.loss_dice: 1.2325, decode.d1.loss_cls: 1.0485, decode.d1.loss_mask: 0.7621, decode.d1.loss_dice: 1.1337, decode.d2.loss_cls: 0.8724, decode.d2.loss_mask: 0.7423, decode.d2.loss_dice: 1.0849, decode.d3.loss_cls: 0.7970, decode.d3.loss_mask: 0.7395, decode.d3.loss_dice: 1.0731, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7383, decode.d4.loss_dice: 1.0768, decode.d5.loss_cls: 0.7485, decode.d5.loss_mask: 0.7339, decode.d5.loss_dice: 1.0714, decode.d6.loss_cls: 0.7265, decode.d6.loss_mask: 0.7329, decode.d6.loss_dice: 1.0625, decode.d7.loss_cls: 0.7198, decode.d7.loss_mask: 0.7298, decode.d7.loss_dice: 1.0648, decode.d8.loss_cls: 0.7166, decode.d8.loss_mask: 0.7297, decode.d8.loss_dice: 1.0615, loss: 28.4433 2022-06-21 19:45:08,774 - mmseg - INFO - Iter [39500/40000] lr: 1.929e-07, eta: 0:04:31, time: 0.500, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6855, decode.loss_mask: 0.7536, decode.loss_dice: 1.0408, decode.d0.loss_cls: 2.9566, decode.d0.loss_mask: 0.8128, decode.d0.loss_dice: 1.1997, decode.d1.loss_cls: 1.0110, decode.d1.loss_mask: 0.7788, decode.d1.loss_dice: 1.1057, decode.d2.loss_cls: 0.8439, decode.d2.loss_mask: 0.7630, decode.d2.loss_dice: 1.0591, decode.d3.loss_cls: 0.7679, decode.d3.loss_mask: 0.7612, decode.d3.loss_dice: 1.0505, decode.d4.loss_cls: 0.7388, decode.d4.loss_mask: 0.7578, decode.d4.loss_dice: 1.0509, decode.d5.loss_cls: 0.7255, decode.d5.loss_mask: 0.7556, decode.d5.loss_dice: 1.0446, decode.d6.loss_cls: 0.7093, decode.d6.loss_mask: 0.7542, decode.d6.loss_dice: 1.0372, decode.d7.loss_cls: 0.6983, decode.d7.loss_mask: 0.7551, decode.d7.loss_dice: 1.0423, decode.d8.loss_cls: 0.6903, decode.d8.loss_mask: 0.7557, decode.d8.loss_dice: 1.0445, loss: 28.1504 2022-06-21 19:45:33,632 - mmseg - INFO - Iter [39550/40000] lr: 1.736e-07, eta: 0:04:04, time: 0.496, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7477, decode.loss_mask: 0.7310, decode.loss_dice: 1.0397, decode.d0.loss_cls: 3.0143, decode.d0.loss_mask: 0.7879, decode.d0.loss_dice: 1.2279, decode.d1.loss_cls: 1.0983, decode.d1.loss_mask: 0.7669, decode.d1.loss_dice: 1.1246, decode.d2.loss_cls: 0.9056, decode.d2.loss_mask: 0.7435, decode.d2.loss_dice: 1.0646, decode.d3.loss_cls: 0.8226, decode.d3.loss_mask: 0.7417, decode.d3.loss_dice: 1.0511, decode.d4.loss_cls: 0.7907, decode.d4.loss_mask: 0.7372, decode.d4.loss_dice: 1.0530, decode.d5.loss_cls: 0.7763, decode.d5.loss_mask: 0.7347, decode.d5.loss_dice: 1.0502, decode.d6.loss_cls: 0.7655, decode.d6.loss_mask: 0.7342, decode.d6.loss_dice: 1.0375, decode.d7.loss_cls: 0.7442, decode.d7.loss_mask: 0.7358, decode.d7.loss_dice: 1.0447, decode.d8.loss_cls: 0.7393, decode.d8.loss_mask: 0.7312, decode.d8.loss_dice: 1.0449, loss: 28.5868 2022-06-21 19:45:58,955 - mmseg - INFO - Iter [39600/40000] lr: 1.544e-07, eta: 0:03:37, time: 0.507, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7344, decode.loss_mask: 0.7683, decode.loss_dice: 1.0400, decode.d0.loss_cls: 2.9805, decode.d0.loss_mask: 0.8276, decode.d0.loss_dice: 1.2043, decode.d1.loss_cls: 1.0556, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.1024, decode.d2.loss_cls: 0.8807, decode.d2.loss_mask: 0.7872, decode.d2.loss_dice: 1.0580, decode.d3.loss_cls: 0.8163, decode.d3.loss_mask: 0.7826, decode.d3.loss_dice: 1.0445, decode.d4.loss_cls: 0.7887, decode.d4.loss_mask: 0.7799, decode.d4.loss_dice: 1.0484, decode.d5.loss_cls: 0.7679, decode.d5.loss_mask: 0.7783, decode.d5.loss_dice: 1.0472, decode.d6.loss_cls: 0.7488, decode.d6.loss_mask: 0.7773, decode.d6.loss_dice: 1.0425, decode.d7.loss_cls: 0.7466, decode.d7.loss_mask: 0.7725, decode.d7.loss_dice: 1.0404, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7725, decode.d8.loss_dice: 1.0374, loss: 28.7772 2022-06-21 19:46:24,578 - mmseg - INFO - Iter [39650/40000] lr: 1.351e-07, eta: 0:03:09, time: 0.512, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6955, decode.loss_mask: 0.7343, decode.loss_dice: 1.0379, decode.d0.loss_cls: 2.8796, decode.d0.loss_mask: 0.7967, decode.d0.loss_dice: 1.1926, decode.d1.loss_cls: 1.0104, decode.d1.loss_mask: 0.7670, decode.d1.loss_dice: 1.1021, decode.d2.loss_cls: 0.8474, decode.d2.loss_mask: 0.7507, decode.d2.loss_dice: 1.0581, decode.d3.loss_cls: 0.7798, decode.d3.loss_mask: 0.7475, decode.d3.loss_dice: 1.0455, decode.d4.loss_cls: 0.7473, decode.d4.loss_mask: 0.7432, decode.d4.loss_dice: 1.0432, decode.d5.loss_cls: 0.7281, decode.d5.loss_mask: 0.7404, decode.d5.loss_dice: 1.0439, decode.d6.loss_cls: 0.7131, decode.d6.loss_mask: 0.7406, decode.d6.loss_dice: 1.0365, decode.d7.loss_cls: 0.6922, decode.d7.loss_mask: 0.7382, decode.d7.loss_dice: 1.0416, decode.d8.loss_cls: 0.6913, decode.d8.loss_mask: 0.7384, decode.d8.loss_dice: 1.0433, loss: 27.9265 2022-06-21 19:46:51,442 - mmseg - INFO - Iter [39700/40000] lr: 1.159e-07, eta: 0:02:42, time: 0.538, data_time: 0.010, memory: 40943, decode.loss_cls: 0.6790, decode.loss_mask: 0.7250, decode.loss_dice: 1.0187, decode.d0.loss_cls: 2.9223, decode.d0.loss_mask: 0.7807, decode.d0.loss_dice: 1.1858, decode.d1.loss_cls: 0.9933, decode.d1.loss_mask: 0.7600, decode.d1.loss_dice: 1.0937, decode.d2.loss_cls: 0.8250, decode.d2.loss_mask: 0.7405, decode.d2.loss_dice: 1.0469, decode.d3.loss_cls: 0.7703, decode.d3.loss_mask: 0.7349, decode.d3.loss_dice: 1.0306, decode.d4.loss_cls: 0.7436, decode.d4.loss_mask: 0.7300, decode.d4.loss_dice: 1.0275, decode.d5.loss_cls: 0.7187, decode.d5.loss_mask: 0.7260, decode.d5.loss_dice: 1.0200, decode.d6.loss_cls: 0.6992, decode.d6.loss_mask: 0.7264, decode.d6.loss_dice: 1.0185, decode.d7.loss_cls: 0.6844, decode.d7.loss_mask: 0.7258, decode.d7.loss_dice: 1.0194, decode.d8.loss_cls: 0.6737, decode.d8.loss_mask: 0.7247, decode.d8.loss_dice: 1.0221, loss: 27.5668 2022-06-21 19:47:18,195 - mmseg - INFO - Iter [39750/40000] lr: 9.664e-08, eta: 0:02:15, time: 0.535, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7413, decode.loss_mask: 0.7189, decode.loss_dice: 1.0394, decode.d0.loss_cls: 2.9842, decode.d0.loss_mask: 0.7758, decode.d0.loss_dice: 1.2123, decode.d1.loss_cls: 1.0540, decode.d1.loss_mask: 0.7551, decode.d1.loss_dice: 1.1112, decode.d2.loss_cls: 0.8868, decode.d2.loss_mask: 0.7375, decode.d2.loss_dice: 1.0674, decode.d3.loss_cls: 0.8174, decode.d3.loss_mask: 0.7278, decode.d3.loss_dice: 1.0507, decode.d4.loss_cls: 0.7945, decode.d4.loss_mask: 0.7254, decode.d4.loss_dice: 1.0509, decode.d5.loss_cls: 0.7728, decode.d5.loss_mask: 0.7239, decode.d5.loss_dice: 1.0469, decode.d6.loss_cls: 0.7544, decode.d6.loss_mask: 0.7250, decode.d6.loss_dice: 1.0421, decode.d7.loss_cls: 0.7539, decode.d7.loss_mask: 0.7236, decode.d7.loss_dice: 1.0392, decode.d8.loss_cls: 0.7410, decode.d8.loss_mask: 0.7222, decode.d8.loss_dice: 1.0379, loss: 28.3337 2022-06-21 19:47:45,024 - mmseg - INFO - Iter [39800/40000] lr: 7.739e-08, eta: 0:01:48, time: 0.537, data_time: 0.009, memory: 40943, decode.loss_cls: 0.6890, decode.loss_mask: 0.7501, decode.loss_dice: 1.0640, decode.d0.loss_cls: 2.9474, decode.d0.loss_mask: 0.8063, decode.d0.loss_dice: 1.2311, decode.d1.loss_cls: 1.0094, decode.d1.loss_mask: 0.7863, decode.d1.loss_dice: 1.1345, decode.d2.loss_cls: 0.8396, decode.d2.loss_mask: 0.7680, decode.d2.loss_dice: 1.0922, decode.d3.loss_cls: 0.7655, decode.d3.loss_mask: 0.7623, decode.d3.loss_dice: 1.0755, decode.d4.loss_cls: 0.7400, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.0759, decode.d5.loss_cls: 0.7164, decode.d5.loss_mask: 0.7519, decode.d5.loss_dice: 1.0691, decode.d6.loss_cls: 0.7059, decode.d6.loss_mask: 0.7503, decode.d6.loss_dice: 1.0631, decode.d7.loss_cls: 0.6915, decode.d7.loss_mask: 0.7494, decode.d7.loss_dice: 1.0631, decode.d8.loss_cls: 0.6898, decode.d8.loss_mask: 0.7500, decode.d8.loss_dice: 1.0679, loss: 28.3630 2022-06-21 19:48:12,429 - mmseg - INFO - Iter [39850/40000] lr: 5.814e-08, eta: 0:01:21, time: 0.548, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7574, decode.loss_mask: 0.7160, decode.loss_dice: 1.0665, decode.d0.loss_cls: 3.0554, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.2420, decode.d1.loss_cls: 1.1050, decode.d1.loss_mask: 0.7437, decode.d1.loss_dice: 1.1423, decode.d2.loss_cls: 0.9156, decode.d2.loss_mask: 0.7269, decode.d2.loss_dice: 1.0892, decode.d3.loss_cls: 0.8386, decode.d3.loss_mask: 0.7250, decode.d3.loss_dice: 1.0783, decode.d4.loss_cls: 0.8074, decode.d4.loss_mask: 0.7233, decode.d4.loss_dice: 1.0802, decode.d5.loss_cls: 0.7898, decode.d5.loss_mask: 0.7201, decode.d5.loss_dice: 1.0762, decode.d6.loss_cls: 0.7770, decode.d6.loss_mask: 0.7182, decode.d6.loss_dice: 1.0684, decode.d7.loss_cls: 0.7641, decode.d7.loss_mask: 0.7179, decode.d7.loss_dice: 1.0683, decode.d8.loss_cls: 0.7579, decode.d8.loss_mask: 0.7165, decode.d8.loss_dice: 1.0626, loss: 28.8158 2022-06-21 19:48:38,832 - mmseg - INFO - Iter [39900/40000] lr: 3.889e-08, eta: 0:00:54, time: 0.528, data_time: 0.009, memory: 40943, decode.loss_cls: 0.7173, decode.loss_mask: 0.7517, decode.loss_dice: 1.0557, decode.d0.loss_cls: 2.9977, decode.d0.loss_mask: 0.8069, decode.d0.loss_dice: 1.2320, decode.d1.loss_cls: 1.0522, decode.d1.loss_mask: 0.7815, decode.d1.loss_dice: 1.1260, decode.d2.loss_cls: 0.8722, decode.d2.loss_mask: 0.7600, decode.d2.loss_dice: 1.0763, decode.d3.loss_cls: 0.8013, decode.d3.loss_mask: 0.7543, decode.d3.loss_dice: 1.0563, decode.d4.loss_cls: 0.7710, decode.d4.loss_mask: 0.7564, decode.d4.loss_dice: 1.0628, decode.d5.loss_cls: 0.7555, decode.d5.loss_mask: 0.7521, decode.d5.loss_dice: 1.0543, decode.d6.loss_cls: 0.7335, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.0551, decode.d7.loss_cls: 0.7258, decode.d7.loss_mask: 0.7532, decode.d7.loss_dice: 1.0550, decode.d8.loss_cls: 0.7259, decode.d8.loss_mask: 0.7513, decode.d8.loss_dice: 1.0485, loss: 28.5955 2022-06-21 19:49:08,679 - mmseg - INFO - Iter [39950/40000] lr: 1.964e-08, eta: 0:00:27, time: 0.596, data_time: 0.056, memory: 40943, decode.loss_cls: 0.7040, decode.loss_mask: 0.7467, decode.loss_dice: 1.0315, decode.d0.loss_cls: 2.9742, decode.d0.loss_mask: 0.8014, decode.d0.loss_dice: 1.1996, decode.d1.loss_cls: 1.0326, decode.d1.loss_mask: 0.7797, decode.d1.loss_dice: 1.0947, decode.d2.loss_cls: 0.8688, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.0536, decode.d3.loss_cls: 0.7862, decode.d3.loss_mask: 0.7569, decode.d3.loss_dice: 1.0427, decode.d4.loss_cls: 0.7474, decode.d4.loss_mask: 0.7562, decode.d4.loss_dice: 1.0451, decode.d5.loss_cls: 0.7358, decode.d5.loss_mask: 0.7533, decode.d5.loss_dice: 1.0423, decode.d6.loss_cls: 0.7178, decode.d6.loss_mask: 0.7520, decode.d6.loss_dice: 1.0351, decode.d7.loss_cls: 0.7100, decode.d7.loss_mask: 0.7473, decode.d7.loss_dice: 1.0323, decode.d8.loss_cls: 0.7069, decode.d8.loss_mask: 0.7508, decode.d8.loss_dice: 1.0365, loss: 28.2023 2022-06-21 19:49:35,053 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-06-21 19:49:41,017 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:49:41,017 - mmseg - INFO - Iter [40000/40000] lr: 3.850e-10, eta: 0:00:00, time: 0.647, data_time: 0.010, memory: 40943, decode.loss_cls: 0.7377, decode.loss_mask: 0.7598, decode.loss_dice: 1.0561, decode.d0.loss_cls: 2.9715, decode.d0.loss_mask: 0.8130, decode.d0.loss_dice: 1.2290, decode.d1.loss_cls: 1.0756, decode.d1.loss_mask: 0.7897, decode.d1.loss_dice: 1.1223, decode.d2.loss_cls: 0.8921, decode.d2.loss_mask: 0.7705, decode.d2.loss_dice: 1.0721, decode.d3.loss_cls: 0.8322, decode.d3.loss_mask: 0.7659, decode.d3.loss_dice: 1.0568, decode.d4.loss_cls: 0.7950, decode.d4.loss_mask: 0.7668, decode.d4.loss_dice: 1.0640, decode.d5.loss_cls: 0.7790, decode.d5.loss_mask: 0.7664, decode.d5.loss_dice: 1.0586, decode.d6.loss_cls: 0.7548, decode.d6.loss_mask: 0.7649, decode.d6.loss_dice: 1.0551, decode.d7.loss_cls: 0.7464, decode.d7.loss_mask: 0.7615, decode.d7.loss_dice: 1.0564, decode.d8.loss_cls: 0.7425, decode.d8.loss_mask: 0.7608, decode.d8.loss_dice: 1.0571, loss: 28.8733 2022-06-21 19:50:01,347 - mmseg - INFO - per class results: 2022-06-21 19:50:01,359 - mmseg - INFO - +------------------+-------+-------+ | Class | IoU | Acc | +------------------+-------+-------+ | person | 87.92 | 94.17 | | bicycle | 75.13 | 89.9 | | car | 60.4 | 69.79 | | motorcycle | 82.08 | 88.83 | | airplane | 83.79 | 95.56 | | bus | 82.82 | 91.03 | | train | 78.67 | 95.76 | | truck | 74.34 | 86.84 | | boat | 78.74 | 85.58 | | traffic light | 76.39 | 93.38 | | fire hydrant | 93.53 | 97.56 | | stop sign | 94.95 | 97.13 | | parking meter | 87.68 | 92.93 | | bench | 45.65 | 68.26 | | bird | 71.67 | 82.46 | | cat | 92.06 | 95.34 | | dog | 89.44 | 95.02 | | horse | 91.42 | 95.74 | | sheep | 88.2 | 91.73 | | cow | 95.71 | 97.96 | | elephant | 92.54 | 96.41 | | bear | 92.27 | 94.43 | | zebra | 92.09 | 95.85 | | giraffe | 87.73 | 93.34 | | backpack | 24.5 | 52.66 | | umbrella | 80.49 | 86.91 | | handbag | 22.05 | 43.63 | | tie | 0.13 | 0.13 | | suitcase | 77.92 | 90.01 | | frisbee | 89.9 | 94.35 | | skis | 34.04 | 51.08 | | snowboard | 61.1 | 77.4 | | sports ball | 73.58 | 91.61 | | kite | 81.07 | 86.92 | | baseball bat | 55.3 | 72.73 | | baseball glove | 1.59 | 1.65 | | skateboard | 66.73 | 83.57 | | surfboard | 89.0 | 94.87 | | tennis racket | 92.63 | 96.32 | | bottle | 59.38 | 72.6 | | wine glass | 83.8 | 93.3 | | cup | 53.87 | 72.99 | | fork | 35.44 | 49.31 | | knife | 71.33 | 84.43 | | spoon | 39.73 | 58.75 | | bowl | 46.51 | 66.02 | | banana | 67.24 | 73.62 | | apple | 68.66 | 82.91 | | sandwich | 85.73 | 96.54 | | orange | 43.36 | 57.23 | | broccoli | 91.43 | 96.56 | | carrot | 47.02 | 63.85 | | hot dog | 52.68 | 94.78 | | pizza | 94.18 | 95.88 | | donut | 72.08 | 86.64 | | cake | 68.24 | 78.93 | | chair | 58.28 | 74.7 | | couch | 69.56 | 88.77 | | potted plant | 29.51 | 38.48 | | bed | 70.64 | 81.35 | | dining table | 58.19 | 79.27 | | toilet | 85.88 | 94.09 | | tv | 81.54 | 93.64 | | laptop | 84.0 | 93.88 | | mouse | 78.95 | 84.9 | | remote | 72.63 | 92.07 | | keyboard | 86.93 | 96.93 | | cell phone | 83.24 | 94.74 | | microwave | 64.56 | 73.01 | | oven | 64.71 | 83.68 | | toaster | 0.0 | 0.0 | | sink | 64.51 | 73.98 | | refrigerator | 83.44 | 90.14 | | book | 76.64 | 88.23 | | clock | 75.4 | 80.22 | | vase | 60.5 | 91.61 | | scissors | 53.18 | 92.94 | | teddy bear | 87.03 | 93.09 | | hair drier | 0.0 | 0.0 | | toothbrush | 17.0 | 25.23 | | banner | 27.77 | 52.35 | | blanket | 21.95 | 22.58 | | branch | 37.55 | 39.16 | | bridge | 5.98 | 10.38 | | building-other | 56.73 | 78.97 | | bush | 40.08 | 53.49 | | cabinet | 24.34 | 47.38 | | cage | 46.58 | 62.1 | | cardboard | 23.22 | 29.95 | | carpet | 58.33 | 69.78 | | ceiling-other | 69.09 | 82.71 | | ceiling-tile | 0.0 | 0.0 | | cloth | 0.0 | 0.0 | | clothes | 22.48 | 31.28 | | clouds | 50.44 | 66.01 | | counter | 28.08 | 33.6 | | cupboard | 60.58 | 72.83 | | curtain | 60.29 | 81.15 | | desk-stuff | 25.41 | 30.76 | | dirt | 39.6 | 66.64 | | door-stuff | 43.27 | 54.42 | | fence | 46.67 | 73.23 | | floor-marble | 0.0 | 0.0 | | floor-other | 41.64 | 60.22 | | floor-stone | 21.9 | 23.17 | | floor-tile | 58.8 | 69.23 | | floor-wood | 68.58 | 76.71 | | flower | 17.36 | 50.53 | | fog | 12.5 | 12.5 | | food-other | 37.97 | 58.19 | | fruit | 6.67 | 7.7 | | furniture-other | 19.1 | 31.09 | | grass | 75.14 | 84.34 | | gravel | 27.25 | 29.18 | | ground-other | 8.12 | 15.58 | | hill | 24.16 | 35.26 | | house | 34.71 | 48.53 | | leaves | 23.91 | 32.36 | | light | 39.45 | 52.2 | | mat | 15.52 | 25.23 | | metal | 18.75 | 30.83 | | mirror-stuff | 28.7 | 41.96 | | moss | 0.0 | 0.0 | | mountain | 25.12 | 42.93 | | mud | 0.0 | 0.0 | | napkin | 38.08 | 62.35 | | net | 43.84 | 47.97 | | paper | 47.07 | 72.61 | | pavement | 40.78 | 60.13 | | pillow | 0.0 | 0.0 | | plant-other | 33.46 | 51.25 | | plastic | 12.16 | 20.05 | | platform | 36.37 | 53.28 | | playingfield | 70.4 | 81.56 | | railing | 20.52 | 34.9 | | railroad | 62.36 | 86.3 | | river | 17.94 | 22.44 | | road | 71.06 | 81.96 | | rock | 54.14 | 78.24 | | roof | 13.11 | 26.07 | | rug | 47.38 | 57.83 | | salad | 24.14 | 24.23 | | sand | 71.54 | 86.65 | | sea | 74.24 | 89.54 | | shelf | 20.39 | 40.98 | | sky-other | 60.35 | 76.41 | | skyscraper | 14.22 | 16.91 | | snow | 92.48 | 94.43 | | solid-other | nan | nan | | stairs | 23.99 | 36.01 | | stone | 9.4 | 18.47 | | straw | 14.75 | 33.43 | | structural-other | 15.77 | 25.6 | | table | 12.16 | 21.82 | | tent | 31.54 | 45.96 | | textile-other | 22.41 | 33.6 | | towel | 30.64 | 42.49 | | tree | 79.14 | 88.32 | | vegetable | 32.08 | 50.82 | | wall-brick | 42.75 | 60.91 | | wall-concrete | 29.89 | 37.32 | | wall-other | 62.24 | 79.43 | | wall-panel | 0.0 | 0.0 | | wall-stone | 23.72 | 27.24 | | wall-tile | 52.94 | 80.97 | | wall-wood | 45.39 | 69.01 | | water-other | 34.9 | 51.35 | | waterdrops | nan | nan | | window-blind | 36.0 | 73.01 | | window-other | 46.22 | 59.66 | | wood | 11.91 | 28.52 | +------------------+-------+-------+ 2022-06-21 19:50:01,359 - mmseg - INFO - Summary: 2022-06-21 19:50:01,359 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 74.78 | 50.0 | 61.86 | +-------+------+-------+ 2022-06-21 19:50:01,371 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2/best_mIoU_iter_36000.pth was removed 2022-06-21 19:50:08,079 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. 2022-06-21 19:50:08,080 - mmseg - INFO - Best mIoU is 0.5000 at 40000 iter. 2022-06-21 19:50:08,084 - mmseg - INFO - Exp name: mask2former_beit_adapter_base_512_40k_cocostuff10k_ss_try2.py 2022-06-21 19:50:08,085 - mmseg - INFO - Iter(val) [125] aAcc: 0.7478, mIoU: 0.5000, mAcc: 0.6186, IoU.person: 0.8792, IoU.bicycle: 0.7513, IoU.car: 0.6040, IoU.motorcycle: 0.8208, IoU.airplane: 0.8379, IoU.bus: 0.8282, IoU.train: 0.7867, IoU.truck: 0.7434, IoU.boat: 0.7874, IoU.traffic light: 0.7639, IoU.fire hydrant: 0.9353, IoU.stop sign: 0.9495, IoU.parking meter: 0.8768, IoU.bench: 0.4565, IoU.bird: 0.7167, IoU.cat: 0.9206, IoU.dog: 0.8944, IoU.horse: 0.9142, IoU.sheep: 0.8820, IoU.cow: 0.9571, IoU.elephant: 0.9254, IoU.bear: 0.9227, IoU.zebra: 0.9209, IoU.giraffe: 0.8773, IoU.backpack: 0.2450, IoU.umbrella: 0.8049, IoU.handbag: 0.2205, IoU.tie: 0.0013, IoU.suitcase: 0.7792, IoU.frisbee: 0.8990, IoU.skis: 0.3404, IoU.snowboard: 0.6110, IoU.sports ball: 0.7358, IoU.kite: 0.8107, IoU.baseball bat: 0.5530, IoU.baseball glove: 0.0159, IoU.skateboard: 0.6673, IoU.surfboard: 0.8900, IoU.tennis racket: 0.9263, IoU.bottle: 0.5938, IoU.wine glass: 0.8380, IoU.cup: 0.5387, IoU.fork: 0.3544, IoU.knife: 0.7133, IoU.spoon: 0.3973, IoU.bowl: 0.4651, IoU.banana: 0.6724, IoU.apple: 0.6866, IoU.sandwich: 0.8573, IoU.orange: 0.4336, IoU.broccoli: 0.9143, IoU.carrot: 0.4702, IoU.hot dog: 0.5268, IoU.pizza: 0.9418, IoU.donut: 0.7208, IoU.cake: 0.6824, IoU.chair: 0.5828, IoU.couch: 0.6956, IoU.potted plant: 0.2951, IoU.bed: 0.7064, IoU.dining table: 0.5819, IoU.toilet: 0.8588, IoU.tv: 0.8154, IoU.laptop: 0.8400, IoU.mouse: 0.7895, IoU.remote: 0.7263, IoU.keyboard: 0.8693, IoU.cell phone: 0.8324, IoU.microwave: 0.6456, IoU.oven: 0.6471, IoU.toaster: 0.0000, IoU.sink: 0.6451, IoU.refrigerator: 0.8344, IoU.book: 0.7664, IoU.clock: 0.7540, IoU.vase: 0.6050, IoU.scissors: 0.5318, IoU.teddy bear: 0.8703, IoU.hair drier: 0.0000, IoU.toothbrush: 0.1700, IoU.banner: 0.2777, IoU.blanket: 0.2195, IoU.branch: 0.3755, IoU.bridge: 0.0598, IoU.building-other: 0.5673, IoU.bush: 0.4008, IoU.cabinet: 0.2434, IoU.cage: 0.4658, IoU.cardboard: 0.2322, IoU.carpet: 0.5833, IoU.ceiling-other: 0.6909, IoU.ceiling-tile: 0.0000, IoU.cloth: 0.0000, IoU.clothes: 0.2248, IoU.clouds: 0.5044, IoU.counter: 0.2808, IoU.cupboard: 0.6058, IoU.curtain: 0.6029, IoU.desk-stuff: 0.2541, IoU.dirt: 0.3960, IoU.door-stuff: 0.4327, IoU.fence: 0.4667, IoU.floor-marble: 0.0000, IoU.floor-other: 0.4164, IoU.floor-stone: 0.2190, IoU.floor-tile: 0.5880, IoU.floor-wood: 0.6858, IoU.flower: 0.1736, IoU.fog: 0.1250, IoU.food-other: 0.3797, IoU.fruit: 0.0667, IoU.furniture-other: 0.1910, IoU.grass: 0.7514, IoU.gravel: 0.2725, IoU.ground-other: 0.0812, IoU.hill: 0.2416, IoU.house: 0.3471, IoU.leaves: 0.2391, IoU.light: 0.3945, IoU.mat: 0.1552, IoU.metal: 0.1875, IoU.mirror-stuff: 0.2870, IoU.moss: 0.0000, IoU.mountain: 0.2512, IoU.mud: 0.0000, IoU.napkin: 0.3808, IoU.net: 0.4384, IoU.paper: 0.4707, IoU.pavement: 0.4078, IoU.pillow: 0.0000, IoU.plant-other: 0.3346, IoU.plastic: 0.1216, IoU.platform: 0.3637, IoU.playingfield: 0.7040, IoU.railing: 0.2052, IoU.railroad: 0.6236, IoU.river: 0.1794, IoU.road: 0.7106, IoU.rock: 0.5414, IoU.roof: 0.1311, IoU.rug: 0.4738, IoU.salad: 0.2414, IoU.sand: 0.7154, IoU.sea: 0.7424, IoU.shelf: 0.2039, IoU.sky-other: 0.6035, IoU.skyscraper: 0.1422, IoU.snow: 0.9248, IoU.solid-other: nan, IoU.stairs: 0.2399, IoU.stone: 0.0940, IoU.straw: 0.1475, IoU.structural-other: 0.1577, IoU.table: 0.1216, IoU.tent: 0.3154, IoU.textile-other: 0.2241, IoU.towel: 0.3064, IoU.tree: 0.7914, IoU.vegetable: 0.3208, IoU.wall-brick: 0.4275, IoU.wall-concrete: 0.2989, IoU.wall-other: 0.6224, IoU.wall-panel: 0.0000, IoU.wall-stone: 0.2372, IoU.wall-tile: 0.5294, IoU.wall-wood: 0.4539, IoU.water-other: 0.3490, IoU.waterdrops: nan, IoU.window-blind: 0.3600, IoU.window-other: 0.4622, IoU.wood: 0.1191, Acc.person: 0.9417, Acc.bicycle: 0.8990, Acc.car: 0.6979, Acc.motorcycle: 0.8883, Acc.airplane: 0.9556, Acc.bus: 0.9103, Acc.train: 0.9576, Acc.truck: 0.8684, Acc.boat: 0.8558, Acc.traffic light: 0.9338, Acc.fire hydrant: 0.9756, Acc.stop sign: 0.9713, Acc.parking meter: 0.9293, Acc.bench: 0.6826, Acc.bird: 0.8246, Acc.cat: 0.9534, Acc.dog: 0.9502, Acc.horse: 0.9574, Acc.sheep: 0.9173, Acc.cow: 0.9796, Acc.elephant: 0.9641, Acc.bear: 0.9443, Acc.zebra: 0.9585, Acc.giraffe: 0.9334, Acc.backpack: 0.5266, Acc.umbrella: 0.8691, Acc.handbag: 0.4363, Acc.tie: 0.0013, Acc.suitcase: 0.9001, Acc.frisbee: 0.9435, Acc.skis: 0.5108, Acc.snowboard: 0.7740, Acc.sports ball: 0.9161, Acc.kite: 0.8692, Acc.baseball bat: 0.7273, Acc.baseball glove: 0.0165, Acc.skateboard: 0.8357, Acc.surfboard: 0.9487, Acc.tennis racket: 0.9632, Acc.bottle: 0.7260, Acc.wine glass: 0.9330, Acc.cup: 0.7299, Acc.fork: 0.4931, Acc.knife: 0.8443, Acc.spoon: 0.5875, Acc.bowl: 0.6602, Acc.banana: 0.7362, Acc.apple: 0.8291, Acc.sandwich: 0.9654, Acc.orange: 0.5723, Acc.broccoli: 0.9656, Acc.carrot: 0.6385, Acc.hot dog: 0.9478, Acc.pizza: 0.9588, Acc.donut: 0.8664, Acc.cake: 0.7893, Acc.chair: 0.7470, Acc.couch: 0.8877, Acc.potted plant: 0.3848, Acc.bed: 0.8135, Acc.dining table: 0.7927, Acc.toilet: 0.9409, Acc.tv: 0.9364, Acc.laptop: 0.9388, Acc.mouse: 0.8490, Acc.remote: 0.9207, Acc.keyboard: 0.9693, Acc.cell phone: 0.9474, Acc.microwave: 0.7301, Acc.oven: 0.8368, Acc.toaster: 0.0000, Acc.sink: 0.7398, Acc.refrigerator: 0.9014, Acc.book: 0.8823, Acc.clock: 0.8022, Acc.vase: 0.9161, Acc.scissors: 0.9294, Acc.teddy bear: 0.9309, Acc.hair drier: 0.0000, Acc.toothbrush: 0.2523, Acc.banner: 0.5235, Acc.blanket: 0.2258, Acc.branch: 0.3916, Acc.bridge: 0.1038, Acc.building-other: 0.7897, Acc.bush: 0.5349, Acc.cabinet: 0.4738, Acc.cage: 0.6210, Acc.cardboard: 0.2995, Acc.carpet: 0.6978, Acc.ceiling-other: 0.8271, Acc.ceiling-tile: 0.0000, Acc.cloth: 0.0000, Acc.clothes: 0.3128, Acc.clouds: 0.6601, Acc.counter: 0.3360, Acc.cupboard: 0.7283, Acc.curtain: 0.8115, Acc.desk-stuff: 0.3076, Acc.dirt: 0.6664, Acc.door-stuff: 0.5442, Acc.fence: 0.7323, Acc.floor-marble: 0.0000, Acc.floor-other: 0.6022, Acc.floor-stone: 0.2317, Acc.floor-tile: 0.6923, Acc.floor-wood: 0.7671, Acc.flower: 0.5053, Acc.fog: 0.1250, Acc.food-other: 0.5819, Acc.fruit: 0.0770, Acc.furniture-other: 0.3109, Acc.grass: 0.8434, Acc.gravel: 0.2918, Acc.ground-other: 0.1558, Acc.hill: 0.3526, Acc.house: 0.4853, Acc.leaves: 0.3236, Acc.light: 0.5220, Acc.mat: 0.2523, Acc.metal: 0.3083, Acc.mirror-stuff: 0.4196, Acc.moss: 0.0000, Acc.mountain: 0.4293, Acc.mud: 0.0000, Acc.napkin: 0.6235, Acc.net: 0.4797, Acc.paper: 0.7261, Acc.pavement: 0.6013, Acc.pillow: 0.0000, Acc.plant-other: 0.5125, Acc.plastic: 0.2005, Acc.platform: 0.5328, Acc.playingfield: 0.8156, Acc.railing: 0.3490, Acc.railroad: 0.8630, Acc.river: 0.2244, Acc.road: 0.8196, Acc.rock: 0.7824, Acc.roof: 0.2607, Acc.rug: 0.5783, Acc.salad: 0.2423, Acc.sand: 0.8665, Acc.sea: 0.8954, Acc.shelf: 0.4098, Acc.sky-other: 0.7641, Acc.skyscraper: 0.1691, Acc.snow: 0.9443, Acc.solid-other: nan, Acc.stairs: 0.3601, Acc.stone: 0.1847, Acc.straw: 0.3343, Acc.structural-other: 0.2560, Acc.table: 0.2182, Acc.tent: 0.4596, Acc.textile-other: 0.3360, Acc.towel: 0.4249, Acc.tree: 0.8832, Acc.vegetable: 0.5082, Acc.wall-brick: 0.6091, Acc.wall-concrete: 0.3732, Acc.wall-other: 0.7943, Acc.wall-panel: 0.0000, Acc.wall-stone: 0.2724, Acc.wall-tile: 0.8097, Acc.wall-wood: 0.6901, Acc.water-other: 0.5135, Acc.waterdrops: nan, Acc.window-blind: 0.7301, Acc.window-other: 0.5966, Acc.wood: 0.2852